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{"STANDARD_NAME":"chr9q21","SYSTEMATIC_NAME":"M17819","ORGANISM":"Homo sapiens","EXACT_SOURCE":"Ensembl 103 human gene annotation on the GRCh38.p13 reference chromosomes only.","EXTERNAL_DETAILS_URL":"https://ensembl.org/Homo_sapiens/Location/Chromosome?r=9","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C1","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Ensembl 103 genes in cytogenetic band chr9q21"}
{"STANDARD_NAME":"chr9q22","SYSTEMATIC_NAME":"M14776","ORGANISM":"Homo sapiens","EXACT_SOURCE":"Ensembl 103 human gene annotation on the GRCh38.p13 reference chromosomes only.","EXTERNAL_DETAILS_URL":"https://ensembl.org/Homo_sapiens/Location/Chromosome?r=9","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C1","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Ensembl 103 genes in cytogenetic band chr9q22"}
{"STANDARD_NAME":"chr9q31","SYSTEMATIC_NAME":"M7882","ORGANISM":"Homo sapiens","EXACT_SOURCE":"Ensembl 103 human gene annotation on the GRCh38.p13 reference chromosomes only.","EXTERNAL_DETAILS_URL":"https://ensembl.org/Homo_sapiens/Location/Chromosome?r=9","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C1","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Ensembl 103 genes in cytogenetic band chr9q31"}
{"STANDARD_NAME":"chr9q32","SYSTEMATIC_NAME":"M445","ORGANISM":"Homo sapiens","EXACT_SOURCE":"Ensembl 103 human gene annotation on the GRCh38.p13 reference chromosomes only.","EXTERNAL_DETAILS_URL":"https://ensembl.org/Homo_sapiens/Location/Chromosome?r=9","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C1","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Ensembl 103 genes in cytogenetic band chr9q32"}
{"STANDARD_NAME":"chr9q33","SYSTEMATIC_NAME":"M9194","ORGANISM":"Homo sapiens","EXACT_SOURCE":"Ensembl 103 human gene annotation on the GRCh38.p13 reference chromosomes only.","EXTERNAL_DETAILS_URL":"https://ensembl.org/Homo_sapiens/Location/Chromosome?r=9","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C1","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Ensembl 103 genes in cytogenetic band chr9q33"}
{"STANDARD_NAME":"chr9q34","SYSTEMATIC_NAME":"M2896","ORGANISM":"Homo sapiens","EXACT_SOURCE":"Ensembl 103 human gene annotation on the GRCh38.p13 reference chromosomes only.","EXTERNAL_DETAILS_URL":"https://ensembl.org/Homo_sapiens/Location/Chromosome?r=9","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C1","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Ensembl 103 genes in cytogenetic band chr9q34"}
{"STANDARD_NAME":"MT","SYSTEMATIC_NAME":"M22127","ORGANISM":"Homo sapiens","EXACT_SOURCE":"Ensembl 103 human gene annotation on the GRCh38.p13 reference chromosomes only.","EXTERNAL_DETAILS_URL":"https://ensembl.org/Homo_sapiens/Location/Chromosome?r=MT","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C1","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Ensembl 103 genes in cytogenetic band MT"}
{"STANDARD_NAME":"chrXp11","SYSTEMATIC_NAME":"M22110","ORGANISM":"Homo sapiens","EXACT_SOURCE":"Ensembl 103 human gene annotation on the GRCh38.p13 reference chromosomes only.","EXTERNAL_DETAILS_URL":"https://ensembl.org/Homo_sapiens/Location/Chromosome?r=X","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C1","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Ensembl 103 genes in cytogenetic band chrXp11"}
{"STANDARD_NAME":"chrXp21","SYSTEMATIC_NAME":"M22111","ORGANISM":"Homo sapiens","EXACT_SOURCE":"Ensembl 103 human gene annotation on the GRCh38.p13 reference chromosomes only.","EXTERNAL_DETAILS_URL":"https://ensembl.org/Homo_sapiens/Location/Chromosome?r=X","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C1","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Ensembl 103 genes in cytogenetic band chrXp21"}
{"STANDARD_NAME":"chrXp22","SYSTEMATIC_NAME":"M22112","ORGANISM":"Homo sapiens","EXACT_SOURCE":"Ensembl 103 human gene annotation on the GRCh38.p13 reference chromosomes only.","EXTERNAL_DETAILS_URL":"https://ensembl.org/Homo_sapiens/Location/Chromosome?r=X","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C1","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Ensembl 103 genes in cytogenetic band chrXp22"}
{"STANDARD_NAME":"chrXq11","SYSTEMATIC_NAME":"M22113","ORGANISM":"Homo sapiens","EXACT_SOURCE":"Ensembl 103 human gene annotation on the GRCh38.p13 reference chromosomes only.","EXTERNAL_DETAILS_URL":"https://ensembl.org/Homo_sapiens/Location/Chromosome?r=X","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C1","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Ensembl 103 genes in cytogenetic band chrXq11"}
{"STANDARD_NAME":"chrXq12","SYSTEMATIC_NAME":"M22114","ORGANISM":"Homo sapiens","EXACT_SOURCE":"Ensembl 103 human gene annotation on the GRCh38.p13 reference chromosomes only.","EXTERNAL_DETAILS_URL":"https://ensembl.org/Homo_sapiens/Location/Chromosome?r=X","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C1","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Ensembl 103 genes in cytogenetic band chrXq12"}
{"STANDARD_NAME":"chrXq13","SYSTEMATIC_NAME":"M22115","ORGANISM":"Homo sapiens","EXACT_SOURCE":"Ensembl 103 human gene annotation on the GRCh38.p13 reference chromosomes only.","EXTERNAL_DETAILS_URL":"https://ensembl.org/Homo_sapiens/Location/Chromosome?r=X","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C1","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Ensembl 103 genes in cytogenetic band chrXq13"}
{"STANDARD_NAME":"chrXq21","SYSTEMATIC_NAME":"M22116","ORGANISM":"Homo sapiens","EXACT_SOURCE":"Ensembl 103 human gene annotation on the GRCh38.p13 reference chromosomes only.","EXTERNAL_DETAILS_URL":"https://ensembl.org/Homo_sapiens/Location/Chromosome?r=X","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C1","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Ensembl 103 genes in cytogenetic band chrXq21"}
{"STANDARD_NAME":"chrXq22","SYSTEMATIC_NAME":"M22117","ORGANISM":"Homo sapiens","EXACT_SOURCE":"Ensembl 103 human gene annotation on the GRCh38.p13 reference chromosomes only.","EXTERNAL_DETAILS_URL":"https://ensembl.org/Homo_sapiens/Location/Chromosome?r=X","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C1","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Ensembl 103 genes in cytogenetic band chrXq22"}
{"STANDARD_NAME":"chrXq23","SYSTEMATIC_NAME":"M22118","ORGANISM":"Homo sapiens","EXACT_SOURCE":"Ensembl 103 human gene annotation on the GRCh38.p13 reference chromosomes only.","EXTERNAL_DETAILS_URL":"https://ensembl.org/Homo_sapiens/Location/Chromosome?r=X","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C1","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Ensembl 103 genes in cytogenetic band chrXq23"}
{"STANDARD_NAME":"chrXq24","SYSTEMATIC_NAME":"M22119","ORGANISM":"Homo sapiens","EXACT_SOURCE":"Ensembl 103 human gene annotation on the GRCh38.p13 reference chromosomes only.","EXTERNAL_DETAILS_URL":"https://ensembl.org/Homo_sapiens/Location/Chromosome?r=X","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C1","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Ensembl 103 genes in cytogenetic band chrXq24"}
{"STANDARD_NAME":"chrXq25","SYSTEMATIC_NAME":"M22120","ORGANISM":"Homo sapiens","EXACT_SOURCE":"Ensembl 103 human gene annotation on the GRCh38.p13 reference chromosomes only.","EXTERNAL_DETAILS_URL":"https://ensembl.org/Homo_sapiens/Location/Chromosome?r=X","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C1","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Ensembl 103 genes in cytogenetic band chrXq25"}
{"STANDARD_NAME":"chrXq26","SYSTEMATIC_NAME":"M22121","ORGANISM":"Homo sapiens","EXACT_SOURCE":"Ensembl 103 human gene annotation on the GRCh38.p13 reference chromosomes only.","EXTERNAL_DETAILS_URL":"https://ensembl.org/Homo_sapiens/Location/Chromosome?r=X","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C1","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Ensembl 103 genes in cytogenetic band chrXq26"}
{"STANDARD_NAME":"chrXq27","SYSTEMATIC_NAME":"M22122","ORGANISM":"Homo sapiens","EXACT_SOURCE":"Ensembl 103 human gene annotation on the GRCh38.p13 reference chromosomes only.","EXTERNAL_DETAILS_URL":"https://ensembl.org/Homo_sapiens/Location/Chromosome?r=X","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C1","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Ensembl 103 genes in cytogenetic band chrXq27"}
{"STANDARD_NAME":"chrXq28","SYSTEMATIC_NAME":"M22123","ORGANISM":"Homo sapiens","EXACT_SOURCE":"Ensembl 103 human gene annotation on the GRCh38.p13 reference chromosomes only.","EXTERNAL_DETAILS_URL":"https://ensembl.org/Homo_sapiens/Location/Chromosome?r=X","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C1","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Ensembl 103 genes in cytogenetic band chrXq28"}
{"STANDARD_NAME":"chrYp11","SYSTEMATIC_NAME":"M22124","ORGANISM":"Homo sapiens","EXACT_SOURCE":"Ensembl 103 human gene annotation on the GRCh38.p13 reference chromosomes only.","EXTERNAL_DETAILS_URL":"https://ensembl.org/Homo_sapiens/Location/Chromosome?r=Y","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C1","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Ensembl 103 genes in cytogenetic band chrYp11"}
{"STANDARD_NAME":"chrYq11","SYSTEMATIC_NAME":"M22125","ORGANISM":"Homo sapiens","EXACT_SOURCE":"Ensembl 103 human gene annotation on the GRCh38.p13 reference chromosomes only.","EXTERNAL_DETAILS_URL":"https://ensembl.org/Homo_sapiens/Location/Chromosome?r=Y","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C1","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Ensembl 103 genes in cytogenetic band chrYq11"}
{"STANDARD_NAME":"BENITEZ_GBM_PROTEASOME_INHIBITION_RESPONSE","SYSTEMATIC_NAME":"M40000","ORGANISM":"Homo sapiens","PMID":"33428749","AUTHORS":"Benitez JA,Finlay D,Castanza A,Parisian AD,Ma J,Longobardi C,Campos A,Vadla R,Izurieta A,Scerra G,Koga T,Long T,Chavez L,Mesirov JP,Vuori K,Furnari F","GEOID":"GSE163906","EXACT_SOURCE":"noab001_suppl_Supplementary_Table_S3 PIRLE, CORE ENRICHMENT = YES","EXTERNAL_DETAILS_URL":"https://doi.org/10.1093/neuonc/noab001","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"102 proteins were identified that were specifically and significantly accumulated after proteasome inhibition with carfilzomibin the PTEN-KO GBM spheres compared with placebo-treated and were not statistically present in the PTEN-WT drug vs placebo group at the proteomic level, this proteomic signature was then coorelated with the RNA-level transcriptomic response to carfilzomib using GSEA. The leading edge of the enrichment result was selected as the response signature.","DESCRIPTION_FULL":"Background
Glioblastoma (GBM) is the most common primary brain tumor in adults with a median survival of approximately 15 months, therefore, more effective treatment options for GBM are required. To identify new drugs targeting glioblastomas, we performed a high throughput drug screen using patient-derived neurospheres cultured to preferentially retain their glioblastoma stem cell (GSC) phenotype.
Results
We found that GSCs were highly sensitive to proteasome inhibition due to an underlying dependency on an increased protein synthesis rate, and loss of autophagy, associated with PTEN loss and activation of the PI3K/mTOR pathway. In contrast, combinatory inhibition of autophagy and the proteasome, resulted in enhanced cytotoxicity specifically in GSCs that did express PTEN. Finally, proteasome inhibition specifically increased cell death markers in3D glioblastoma organoids, suppressed tumor growth, and increased survival of mice orthotopically engrafted with GSCs. As perturbations of the PI3K/mTOR pathway occur in nearly 50% of GBMs, these findings suggest that a significant fraction of these tumors could be vulnerable to proteasome inhibition.
Conclusions
Proteasome inhibition is a potential synthetic lethal therapeutic strategy for GBM with proteasome addiction due to a high protein synthesis rate and autophagy deficiency"}
{"STANDARD_NAME":"BLANCO_MELO_SARS_COV_1_INFECTION_MCR5_CELLS_UP","SYSTEMATIC_NAME":"M34000","ORGANISM":"Homo sapiens","PMID":"32416070","GEOID":"GSE56192","EXACT_SOURCE":"Table S1. Differential Gene Expression Analysis of Respiratory Virus Infections in Cell Lines, Related to Figure 1. log2(FC)>1, padj<0.05","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in SARS-CoV-1 infection (MRC5 cells, MOI: 3, 24hpi).","DESCRIPTION_FULL":"Analysis of the transcriptional response to SARS-CoV-2 compared with other respiratory viruses, including MERS-CoV, SARS-CoV-1 (SARS), human parainfluenza virus 3 (HPIV3), respiratory syncytial virus (RSV), and IAV."}
{"STANDARD_NAME":"BLANCO_MELO_SARS_COV_1_INFECTION_MCR5_CELLS_DN","SYSTEMATIC_NAME":"M34001","ORGANISM":"Homo sapiens","PMID":"32416070","GEOID":"GSE56192","EXACT_SOURCE":"Table S1. Differential Gene Expression Analysis of Respiratory Virus Infections in Cell Lines, Related to Figure 1. log2(FC)<-1, padj<0.05","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in SARS-CoV-1 infection (MRC5 cells, MOI: 3, 24hpi).","DESCRIPTION_FULL":"Analysis of the transcriptional response to SARS-CoV-2 compared with other respiratory viruses, including MERS-CoV, SARS-CoV-1 (SARS), human parainfluenza virus 3 (HPIV3), respiratory syncytial virus (RSV), and IAV."}
{"STANDARD_NAME":"BLANCO_MELO_MERS_COV_INFECTION_MCR5_CELLS_UP","SYSTEMATIC_NAME":"M34002","ORGANISM":"Homo sapiens","PMID":"32416070","GEOID":"GSE56192","EXACT_SOURCE":"Table S1. Differential Gene Expression Analysis of Respiratory Virus Infections in Cell Lines, Related to Figure 1. log2(FC)>1, padj<0.05","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in MERS-CoV infection (MRC5 cells, MOI: 3, 24hpi)","DESCRIPTION_FULL":"Analysis of the transcriptional response to SARS-CoV-2 compared with other respiratory viruses, including MERS-CoV, SARS-CoV-1 (SARS), human parainfluenza virus 3 (HPIV3), respiratory syncytial virus (RSV), and IAV."}
{"STANDARD_NAME":"BLANCO_MELO_MERS_COV_INFECTION_MCR5_CELLS_DN","SYSTEMATIC_NAME":"M34003","ORGANISM":"Homo sapiens","PMID":"32416070","GEOID":"GSE56192","EXACT_SOURCE":"Table S1. Differential Gene Expression Analysis of Respiratory Virus Infections in Cell Lines, Related to Figure 1. log2(FC)<-1, padj<0.05","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in MERS-CoV infection (MRC5 cells, MOI: 3, 24hpi)","DESCRIPTION_FULL":"Analysis of the transcriptional response to SARS-CoV-2 compared with other respiratory viruses, including MERS-CoV, SARS-CoV-1 (SARS), human parainfluenza virus 3 (HPIV3), respiratory syncytial virus (RSV), and IAV."}
{"STANDARD_NAME":"BLANCO_MELO_INFLUENZA_A_INFECTION_A594_CELLS_UP","SYSTEMATIC_NAME":"M34004","ORGANISM":"Homo sapiens","PMID":"32416070","GEOID":"GSE147507","EXACT_SOURCE":"Table S1. Differential Gene Expression Analysis of Respiratory Virus Infections in Cell Lines, Related to Figure 1. log2(FC)>1, padj<0.05","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in IAV (A549 cells, MOI: 5, 9hpi)","DESCRIPTION_FULL":"Analysis of the transcriptional response to SARS-CoV-2 compared with other respiratory viruses, including MERS-CoV, SARS-CoV-1 (SARS), human parainfluenza virus 3 (HPIV3), respiratory syncytial virus (RSV), and IAV."}
{"STANDARD_NAME":"BLANCO_MELO_INFLUENZA_A_INFECTION_A594_CELLS_DN","SYSTEMATIC_NAME":"M34005","ORGANISM":"Homo sapiens","PMID":"32416070","GEOID":"GSE147507","EXACT_SOURCE":"Table S1. Differential Gene Expression Analysis of Respiratory Virus Infections in Cell Lines, Related to Figure 1. log2(FC)<-1, padj<0.05","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in IAV (A549 cells, MOI: 5, 9hpi)","DESCRIPTION_FULL":"Analysis of the transcriptional response to SARS-CoV-2 compared with other respiratory viruses, including MERS-CoV, SARS-CoV-1 (SARS), human parainfluenza virus 3 (HPIV3), respiratory syncytial virus (RSV), and IAV."}
{"STANDARD_NAME":"BLANCO_MELO_HUMAN_PARAINFLUENZA_VIRUS_3_INFECTION_A594_CELLS_UP","SYSTEMATIC_NAME":"M34006","ORGANISM":"Homo sapiens","PMID":"32416070","GEOID":"GSE147507","EXACT_SOURCE":"Table S1. Differential Gene Expression Analysis of Respiratory Virus Infections in Cell Lines, Related to Figure 1. log2(FC)>1.58, padj<0.05","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in HPIV3 (A549 cells, MOI: 2, 24hpi)","DESCRIPTION_FULL":"Analysis of the transcriptional response to SARS-CoV-2 compared with other respiratory viruses, including MERS-CoV, SARS-CoV-1 (SARS), human parainfluenza virus 3 (HPIV3), respiratory syncytial virus (RSV), and IAV."}
{"STANDARD_NAME":"BLANCO_MELO_HUMAN_PARAINFLUENZA_VIRUS_3_INFECTION_A594_CELLS_DN","SYSTEMATIC_NAME":"M34007","ORGANISM":"Homo sapiens","PMID":"32416070","GEOID":"GSE147507","EXACT_SOURCE":"Table S1. Differential Gene Expression Analysis of Respiratory Virus Infections in Cell Lines, Related to Figure 1. log2(FC)<-1.58, padj<0.05","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in HPIV3 (A549 cells, MOI: 2, 24hpi)","DESCRIPTION_FULL":"Analysis of the transcriptional response to SARS-CoV-2 compared with other respiratory viruses, including MERS-CoV, SARS-CoV-1 (SARS), human parainfluenza virus 3 (HPIV3), respiratory syncytial virus (RSV), and IAV."}
{"STANDARD_NAME":"BLANCO_MELO_RESPIRATORY_SYNCYTIAL_VIRUS_INFECTION_A594_CELLS_UP","SYSTEMATIC_NAME":"M34008","ORGANISM":"Homo sapiens","PMID":"32416070","GEOID":"GSE147507","EXACT_SOURCE":"Table S1. Differential Gene Expression Analysis of Respiratory Virus Infections in Cell Lines, Related to Figure 1. log2(FC)>2, padj<0.05","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in RSV (A549 cells, MOI: 2, 24hpi)","DESCRIPTION_FULL":"Analysis of the transcriptional response to SARS-CoV-2 compared with other respiratory viruses, including MERS-CoV, SARS-CoV-1 (SARS), human parainfluenza virus 3 (HPIV3), respiratory syncytial virus (RSV), and IAV."}
{"STANDARD_NAME":"BLANCO_MELO_RESPIRATORY_SYNCYTIAL_VIRUS_INFECTION_A594_CELLS_DN","SYSTEMATIC_NAME":"M34009","ORGANISM":"Homo sapiens","PMID":"32416070","GEOID":"GSE147507","EXACT_SOURCE":"Table S1. Differential Gene Expression Analysis of Respiratory Virus Infections in Cell Lines, Related to Figure 1. log2(FC)<-2, padj<0.05","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in RSV (A549 cells, MOI: 2, 24hpi)","DESCRIPTION_FULL":"Analysis of the transcriptional response to SARS-CoV-2 compared with other respiratory viruses, including MERS-CoV, SARS-CoV-1 (SARS), human parainfluenza virus 3 (HPIV3), respiratory syncytial virus (RSV), and IAV."}
{"STANDARD_NAME":"BLANCO_MELO_COVID19_SARS_COV_2_INFECTION_A594_CELLS_UP","SYSTEMATIC_NAME":"M34010","ORGANISM":"Homo sapiens","PMID":"32416070","GEOID":"GSE147507","EXACT_SOURCE":"Table S1. Differential Gene Expression Analysis of Respiratory Virus Infections in Cell Lines, Related to Figure 1. log2(FC)>2, padj<0.05","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in SARS-CoV-2 infection (A549 cells, MOI: 2, 24hpi)","DESCRIPTION_FULL":"Analysis of the transcriptional response to SARS-CoV-2 compared with other respiratory viruses, including MERS-CoV, SARS-CoV-1 (SARS), human parainfluenza virus 3 (HPIV3), respiratory syncytial virus (RSV), and IAV."}
{"STANDARD_NAME":"BLANCO_MELO_COVID19_SARS_COV_2_INFECTION_A594_CELLS_DN","SYSTEMATIC_NAME":"M34011","ORGANISM":"Homo sapiens","PMID":"32416070","GEOID":"GSE147507","EXACT_SOURCE":"Table S1. Differential Gene Expression Analysis of Respiratory Virus Infections in Cell Lines, Related to Figure 1. log2(FC)<-2, padj<0.05","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in SARS-CoV-2 infection (A549 cells, MOI: 2, 24hpi)","DESCRIPTION_FULL":"Analysis of the transcriptional response to SARS-CoV-2 compared with other respiratory viruses, including MERS-CoV, SARS-CoV-1 (SARS), human parainfluenza virus 3 (HPIV3), respiratory syncytial virus (RSV), and IAV."}
{"STANDARD_NAME":"BLANCO_MELO_COVID19_SARS_COV_2_INFECTION_CALU3_CELLS_UP","SYSTEMATIC_NAME":"M34012","ORGANISM":"Homo sapiens","PMID":"32416070","GEOID":"GSE147507","EXACT_SOURCE":"Table S1. Differential Gene Expression Analysis of Respiratory Virus Infections in Cell Lines, Related to Figure 1. log2(FC)>2, padj<0.05","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in SARS-CoV-2 infection (Calu-3 cells, MOI: 2, 24hpi)","DESCRIPTION_FULL":"Analysis of the transcriptional response to SARS-CoV-2 compared with other respiratory viruses, including MERS-CoV, SARS-CoV-1 (SARS), human parainfluenza virus 3 (HPIV3), respiratory syncytial virus (RSV), and IAV."}
{"STANDARD_NAME":"BLANCO_MELO_COVID19_SARS_COV_2_INFECTION_CALU3_CELLS_DN","SYSTEMATIC_NAME":"M34013","ORGANISM":"Homo sapiens","PMID":"32416070","GEOID":"GSE147507","EXACT_SOURCE":"Table S1. Differential Gene Expression Analysis of Respiratory Virus Infections in Cell Lines, Related to Figure 1. log2(FC)<-2, padj<0.05","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in SARS-CoV-2 infection (Calu-3 cells, MOI: 2, 24hpi)","DESCRIPTION_FULL":"Analysis of the transcriptional response to SARS-CoV-2 compared with other respiratory viruses, including MERS-CoV, SARS-CoV-1 (SARS), human parainfluenza virus 3 (HPIV3), respiratory syncytial virus (RSV), and IAV."}
{"STANDARD_NAME":"BLANCO_MELO_COVID19_SARS_COV_2_LOW_MOI_INFECTION_A594_ACE2_EXPRESSING_CELLS_UP","SYSTEMATIC_NAME":"M34014","ORGANISM":"Homo sapiens","PMID":"32416070","GEOID":"GSE147507","EXACT_SOURCE":"Table S1. Differential Gene Expression Analysis of Respiratory Virus Infections in Cell Lines, Related to Figure 1. log2(FC)>2, padj<0.05","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in SARS-CoV-2 low MOI infection (ACE2 expressing A549 cells, MOI: 0.2, 24hpi)","DESCRIPTION_FULL":"Analysis of the transcriptional response to SARS-CoV-2 compared with other respiratory viruses, including MERS-CoV, SARS-CoV-1 (SARS), human parainfluenza virus 3 (HPIV3), respiratory syncytial virus (RSV), and IAV."}
{"STANDARD_NAME":"BLANCO_MELO_COVID19_SARS_COV_2_LOW_MOI_INFECTION_A594_ACE2_EXPRESSING_CELLS_DN","SYSTEMATIC_NAME":"M34015","ORGANISM":"Homo sapiens","PMID":"32416070","GEOID":"GSE147507","EXACT_SOURCE":"Table S1. Differential Gene Expression Analysis of Respiratory Virus Infections in Cell Lines, Related to Figure 1. log2(FC)<-2, padj<0.05","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in SARS-CoV-2 low MOI infection (ACE2 expressing A549 cells, MOI: 0.2, 24hpi)","DESCRIPTION_FULL":"Analysis of the transcriptional response to SARS-CoV-2 compared with other respiratory viruses, including MERS-CoV, SARS-CoV-1 (SARS), human parainfluenza virus 3 (HPIV3), respiratory syncytial virus (RSV), and IAV."}
{"STANDARD_NAME":"BLANCO_MELO_COVID19_SARS_COV_2_INFECTION_A594_ACE2_EXPRESSING_CELLS_UP","SYSTEMATIC_NAME":"M34016","ORGANISM":"Homo sapiens","PMID":"32416070","GEOID":"GSE147507","EXACT_SOURCE":"Table S1. Differential Gene Expression Analysis of Respiratory Virus Infections in Cell Lines, Related to Figure 1. log2(FC)>2, padj<0.05","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in SARS-CoV-2 infection (ACE2 expressing A549 cells, MOI: 2, 24hpi)","DESCRIPTION_FULL":"Analysis of the transcriptional response to SARS-CoV-2 compared with other respiratory viruses, including MERS-CoV, SARS-CoV-1 (SARS), human parainfluenza virus 3 (HPIV3), respiratory syncytial virus (RSV), and IAV."}
{"STANDARD_NAME":"BLANCO_MELO_COVID19_SARS_COV_2_INFECTION_A594_ACE2_EXPRESSING_CELLS_DN","SYSTEMATIC_NAME":"M34017","ORGANISM":"Homo sapiens","PMID":"32416070","GEOID":"GSE147507","EXACT_SOURCE":"Table S1. Differential Gene Expression Analysis of Respiratory Virus Infections in Cell Lines, Related to Figure 1. log2(FC)<-2, padj<0.05","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in SARS-CoV-2 infection (ACE2 expressing A549 cells, MOI: 2, 24hpi)","DESCRIPTION_FULL":"Analysis of the transcriptional response to SARS-CoV-2 compared with other respiratory viruses, including MERS-CoV, SARS-CoV-1 (SARS), human parainfluenza virus 3 (HPIV3), respiratory syncytial virus (RSV), and IAV."}
{"STANDARD_NAME":"BLANCO_MELO_COVID19_SARS_COV_2_INFECTION_A594_ACE2_EXPRESSING_CELLS_RUXOLITINIB_UP","SYSTEMATIC_NAME":"M34018","ORGANISM":"Homo sapiens","PMID":"32416070","GEOID":"GSE147507","EXACT_SOURCE":"Table S1. Differential Gene Expression Analysis of Respiratory Virus Infections in Cell Lines, Related to Figure 1. log2(FC)>2, padj<0.05","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in SARS-CoV-2 infection with Ruxolitinib (ACE2 expressing A549 cells, MOI: 2, 24hpi)","DESCRIPTION_FULL":"Analysis of the transcriptional response to SARS-CoV-2 compared with other respiratory viruses, including MERS-CoV, SARS-CoV-1 (SARS), human parainfluenza virus 3 (HPIV3), respiratory syncytial virus (RSV), and IAV."}
{"STANDARD_NAME":"BLANCO_MELO_COVID19_SARS_COV_2_INFECTION_A594_ACE2_EXPRESSING_CELLS_RUXOLITINIB_DN","SYSTEMATIC_NAME":"M34019","ORGANISM":"Homo sapiens","PMID":"32416070","GEOID":"GSE147507","EXACT_SOURCE":"Table S1. Differential Gene Expression Analysis of Respiratory Virus Infections in Cell Lines, Related to Figure 1. log2(FC)<-2, padj<0.05","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in SARS-CoV-2 infection with Ruxolitinib (ACE2 expressing A549 cells, MOI: 2, 24hpi)","DESCRIPTION_FULL":"Analysis of the transcriptional response to SARS-CoV-2 compared with other respiratory viruses, including MERS-CoV, SARS-CoV-1 (SARS), human parainfluenza virus 3 (HPIV3), respiratory syncytial virus (RSV), and IAV."}
{"STANDARD_NAME":"BLANCO_MELO_COVID19_BRONCHIAL_EPITHELIAL_CELLS_SARS_COV_2_INFECTION_UP","SYSTEMATIC_NAME":"M34020","ORGANISM":"Homo sapiens","PMID":"32416070","GEOID":"GSE147507","EXACT_SOURCE":"Table S2. Differential Gene Expression Analysis of Experiments Performed in NHBE Cells, Related to Figure 2. log2(FC)>0.58, padj<0.05","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated on infection of normal human bronchial epithelial cells by SARS-CoV-2 (MOI: 2, 24hpi)","DESCRIPTION_FULL":"Analysis of the transcriptional response to SARS-CoV-2 compared with other respiratory viruses, including MERS-CoV, SARS-CoV-1 (SARS), human parainfluenza virus 3 (HPIV3), respiratory syncytial virus (RSV), and IAV."}
{"STANDARD_NAME":"BLANCO_MELO_COVID19_BRONCHIAL_EPITHELIAL_CELLS_SARS_COV_2_INFECTION_DN","SYSTEMATIC_NAME":"M34021","ORGANISM":"Homo sapiens","PMID":"32416070","GEOID":"GSE147507","EXACT_SOURCE":"Table S2. Differential Gene Expression Analysis of Experiments Performed in NHBE Cells, Related to Figure 2. log2(FC)<-0.58, padj<0.05","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_FULL":"Analysis of the transcriptional response to SARS-CoV-2 compared with other respiratory viruses, including MERS-CoV, SARS-CoV-1 (SARS), human parainfluenza virus 3 (HPIV3), respiratory syncytial virus (RSV), and IAV."}
{"STANDARD_NAME":"BLANCO_MELO_BETA_INTERFERON_TREATED_BRONCHIAL_EPITHELIAL_CELLS_UP","SYSTEMATIC_NAME":"M34022","ORGANISM":"Homo sapiens","PMID":"32416070","GEOID":"GSE147507","EXACT_SOURCE":"Table S2. Differential Gene Expression Analysis of Experiments Performed in NHBE Cells, Related to Figure 2. log2(FC)>1, padj<0.05","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated on treatment of normal human bronchial epithelial cells with beta interferon (hIFNB treatment 100u/ml, 4-12hrs).","DESCRIPTION_FULL":"Analysis of the transcriptional response to SARS-CoV-2 compared with other respiratory viruses, including MERS-CoV, SARS-CoV-1 (SARS), human parainfluenza virus 3 (HPIV3), respiratory syncytial virus (RSV), and IAV."}
{"STANDARD_NAME":"BLANCO_MELO_BETA_INTERFERON_TREATED_BRONCHIAL_EPITHELIAL_CELLS_DN","SYSTEMATIC_NAME":"M34023","ORGANISM":"Homo sapiens","PMID":"32416070","GEOID":"GSE147507","EXACT_SOURCE":"Table S2. Differential Gene Expression Analysis of Experiments Performed in NHBE Cells, Related to Figure 2. log2(FC)<-1, padj<0.05","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated on treatment of normal human bronchial epithelial cells with beta interferon (hIFNB treatment 100u/ml, 4-12hrs).","DESCRIPTION_FULL":"Analysis of the transcriptional response to SARS-CoV-2 compared with other respiratory viruses, including MERS-CoV, SARS-CoV-1 (SARS), human parainfluenza virus 3 (HPIV3), respiratory syncytial virus (RSV), and IAV."}
{"STANDARD_NAME":"BLANCO_MELO_BRONCHIAL_EPITHELIAL_CELLS_INFLUENZA_A_INFECTION_UP","SYSTEMATIC_NAME":"M34024","ORGANISM":"Homo sapiens","PMID":"32416070","GEOID":"GSE147507","EXACT_SOURCE":"Table S2. Differential Gene Expression Analysis of Experiments Performed in NHBE Cells, Related to Figure 2. log2(FC)>1, padj<0.05","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated oninfection of normal human bronchial epithelial cells by Influenza A (MOI: 3, 12hpi)","DESCRIPTION_FULL":"Analysis of the transcriptional response to SARS-CoV-2 compared with other respiratory viruses, including MERS-CoV, SARS-CoV-1 (SARS), human parainfluenza virus 3 (HPIV3), respiratory syncytial virus (RSV), and IAV."}
{"STANDARD_NAME":"BLANCO_MELO_BRONCHIAL_EPITHELIAL_CELLS_INFLUENZA_A_INFECTION_DN","SYSTEMATIC_NAME":"M34025","ORGANISM":"Homo sapiens","PMID":"32416070","GEOID":"GSE147507","EXACT_SOURCE":"Table S2. Differential Gene Expression Analysis of Experiments Performed in NHBE Cells, Related to Figure 2. log2(FC)<-1, padj<0.05","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated oninfection of normal human bronchial epithelial cells by Influenza A (MOI: 3, 12hpi)","DESCRIPTION_FULL":"Analysis of the transcriptional response to SARS-CoV-2 compared with other respiratory viruses, including MERS-CoV, SARS-CoV-1 (SARS), human parainfluenza virus 3 (HPIV3), respiratory syncytial virus (RSV), and IAV."}
{"STANDARD_NAME":"BLANCO_MELO_BRONCHIAL_EPITHELIAL_CELLS_INFLUENZA_A_DEL_NS1_INFECTION_UP","SYSTEMATIC_NAME":"M34026","ORGANISM":"Homo sapiens","PMID":"32416070","GEOID":"GSE147507","EXACT_SOURCE":"Table S2. Differential Gene Expression Analysis of Experiments Performed in NHBE Cells, Related to Figure 2. log2(FC)>1, padj<0.05","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated on infection of normal human bronchial epithelial cells by mutant Influenza A lacking its antiviral antagonist (IAV_NS1) (MOI: 3, 12hpi)","DESCRIPTION_FULL":"Analysis of the transcriptional response to SARS-CoV-2 compared with other respiratory viruses, including MERS-CoV, SARS-CoV-1 (SARS), human parainfluenza virus 3 (HPIV3), respiratory syncytial virus (RSV), and IAV."}
{"STANDARD_NAME":"BLANCO_MELO_BRONCHIAL_EPITHELIAL_CELLS_INFLUENZA_A_DEL_NS1_INFECTION_DN","SYSTEMATIC_NAME":"M34027","ORGANISM":"Homo sapiens","PMID":"32416070","GEOID":"GSE147507","EXACT_SOURCE":"Table S2. Differential Gene Expression Analysis of Experiments Performed in NHBE Cells, Related to Figure 2. log2(FC)<-1, padj<0.05","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated on infection of normal human bronchial epithelial cells by mutant Influenza A lacking its antiviral antagonist (IAV_NS1) (MOI: 3, 12hpi)","DESCRIPTION_FULL":"Analysis of the transcriptional response to SARS-CoV-2 compared with other respiratory viruses, including MERS-CoV, SARS-CoV-1 (SARS), human parainfluenza virus 3 (HPIV3), respiratory syncytial virus (RSV), and IAV."}
{"STANDARD_NAME":"BLANCO_MELO_COVID19_SARS_COV_2_POS_PATIENT_LUNG_TISSUE_UP","SYSTEMATIC_NAME":"M34028","ORGANISM":"Homo sapiens","PMID":"32416070","GEOID":"GSE147507","EXACT_SOURCE":"Table S4. Differential Gene Expression Analysis of COVID-19 Patients, Related to Figure 4. log2(FC)>3.58, padj<0.05","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes strongly up-regulated (log2(FC)>3.58, padj<0.05) in post mortem lung tissue from COVID-19 patients vs uninfected biopsy.","DESCRIPTION_FULL":"Transcriptional profiling of post-mortem lung samples from COVID-19-positive patients compared with biopsied healthy lung tissue from uninfected individuals."}
{"STANDARD_NAME":"BLANCO_MELO_COVID19_SARS_COV_2_POS_PATIENT_LUNG_TISSUE_DN","SYSTEMATIC_NAME":"M34029","ORGANISM":"Homo sapiens","PMID":"32416070","GEOID":"GSE147507","EXACT_SOURCE":"Table S4. Differential Gene Expression Analysis of COVID-19 Patients, Related to Figure 4. log2(FC)<-3.58, padj<0.05","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes strongly down-regulated (og2(FC)<-3.58, padj<0.05) in post mortem lung tissue from COVID-19 patients vs uninfected biopsy.","DESCRIPTION_FULL":"Transcriptional profiling of post-mortem lung samples from COVID-19-positive patients (N=2) compared with biopsied healthy lung tissue from uninfected individuals."}
{"STANDARD_NAME":"BUFFA_HYPOXIA_METAGENE","SYSTEMATIC_NAME":"M34030","ORGANISM":"Homo sapiens","PMID":"20087356","EXACT_SOURCE":"Table S5. Common Hypoxia Signature Genes ranked by the Common Connectvity Score (from highest to lowest) and their expression changes in cell lines experiments of hypoxia exposure and HIF1a siRNA","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Francesca Buffa","CONTRIBUTOR_ORG":"University of Oxford","DESCRIPTION_BRIEF":"Common genes regulated by hypoxia across multiple head and neck and breast cancer clinical cohorts, and prognostic in multiple cancer types","DESCRIPTION_FULL":"Hypoxia is a key factor promoting solid tumour progression and resistance to therapy. Hypoxia biomarkers have the potential to predict prognosis and/or benefit from particular interventions. An approach combining knowledge of gene function and analysis of in vivo co-expression patterns was used to derive a gene expression signature of hypoxia. Specifically, previously validated hypoxia-regulated genes (seeds) were used to generate a co-expression network. To guarantee generality and robustness of this network, bootstrap was used to select genes that were consistently co-expressed with the hypoxia seeds in multiple cancers cohorts and across cancer types (three head and neck and five breast cancer clinical cohorts were used in this phase). Genes with the highest connectivity in the resulting co-expression gene network were extracted to form a hypoxia gene signature. This signature was highly enriched for hypoxia-regulated pathways, enriched for targets of the Hypoxia-Inducible Factor (HIF)-1 as determined in ChipSeq and HIF know-down experiments, and prognostic. Validation in independent data sets of head and neck, breast and lung cancer showed that this signature outperformed previously reported hypoxia gene signatures."}
{"STANDARD_NAME":"WEST_ADRENOCORTICAL_TUMOR_MARKERS_DN","SYSTEMATIC_NAME":"M8321","ORGANISM":"Homo sapiens","PMID":"17234769","AUTHORS":"West AN,Neale GA,Pounds S,Figueredo BC,Rodriguez Galindo C,Pianovski MA,Oliveira Filho AG,Malkin D,Lalli E,Ribeiro R,Zambetti GP","EXACT_SOURCE":"Table 2: Decreased","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top down-regulated genes in pediatric adrenocortical tumors (ACT) compared to the normal tissue.","DESCRIPTION_FULL":"Pediatric adrenocortical tumors (ACT) are rare and often fatal malignancies; little is known regarding their etiology and biology. To provide additional insight into the nature of ACT, we determined the gene expression profiles of 24 pediatric tumors (five adenomas, 18 carcinomas, and one undetermined) and seven normal adrenal glands. Distinct patterns of gene expression, validated by quantitative real-time PCR and Western blot analysis, were identified that distinguish normal adrenal cortex from tumor. Differences in gene expression were also identified between adrenocortical adenomas and carcinomas. In addition, pediatric adrenocortical carcinomas were found to share similar patterns of gene expression when compared with those published for adult ACT. This study represents the first microarray analysis of childhood ACT. Our findings lay the groundwork for establishing gene expression profiles that may aid in the diagnosis and prognosis of pediatric ACT, and in the identification of signaling pathways that contribute to this disease."}
{"STANDARD_NAME":"WINTER_HYPOXIA_DN","SYSTEMATIC_NAME":"M2683","ORGANISM":"Homo sapiens","PMID":"17409455","AUTHORS":"Winter SC,Buffa FM,Silva P,Miller C,Valentine HR,Turley H,Shah KA,Cox GJ,Corbridge RJ,Homer JJ,Musgrove B,Slevin N,Sloan P,Price P,West CM,Harris AL","EXACT_SOURCE":"Table 3S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in head and neck tumor samples which clustered around known hypoxia genes.","DESCRIPTION_FULL":"Affymetrix U133plus2 GeneChips were used to profile 59 head and neck squamous cell cancers. A hypoxia metagene was obtained by analysis of genes whose in vivo expression clustered with the expression of 10 well-known hypoxia-regulated genes (e.g., CA9, GLUT1, and VEGF). To minimize random aggregation, strongly correlated up-regulated genes appearing in >50% of clusters defined a signature comprising 99 genes, of which 27% were previously known to be hypoxia associated. The median RNA expression of the 99 genes in the signature was an independent prognostic factor for recurrence-free survival in a publicly available head and neck cancer data set, outdoing the original intrinsic classifier. In a published breast cancer series, the hypoxia signature was a significant prognostic factor for overall survival independent of clinicopathologic risk factors and a trained profile. The work highlights the validity and potential of using data from analysis of in vitro stress pathways for deriving a biological metagene/gene signature in vivo."}
{"STANDARD_NAME":"PARENT_MTOR_SIGNALING_DN","SYSTEMATIC_NAME":"M16644","ORGANISM":"Homo sapiens","PMID":"17483347","AUTHORS":"Parent R,Kolippakkam D,Booth G,Beretta L","GEOID":"E-MEXP-958","EXACT_SOURCE":"Table 2S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in HepaRG cells (liver cancer) expressing constituvely active form of MTOR [GeneID=2475].","DESCRIPTION_FULL":"The mammalian target of rapamycin (mTOR) pathway, a major regulator of translation, is frequently activated in hepatocellular carcinomas. We investigated the effects of mTOR activation in the human HepaRG cells, which possess potent hepatocytic differentiation capability. Differentiation of HepaRG cells into functional and polarized hepatocyte-like cells correlated with a decrease in mTOR and Akt activities. Stable cell lines expressing an activated mutant of mTOR were generated. Sustained activation of mTOR impaired the hepatocytic differentiation capability of these cells as shown by impaired formation of bile canaliculi, absence of polarity, and reduced secretion of alpha1-antitrypsin. An inhibitor of mTOR, rapamycin, was able to revert this phenotype. Furthermore, increased mTOR activity in HepaRG cells resulted in their resistance to the antiproliferative effects of transforming growth factor-beta1. Profiling of polysome-bound transcripts indicated that activated mTOR specifically targeted genes posttranscriptionally regulated on hepatocytic differentiation. Three major biological networks targeted by activated mTOR were identified: (a) cell death associated with tumor necrosis factor superfamily members, IFNs and caspases; (b) lipid homeostasis associated with the transcription factors PPARalpha, PPARdelta, and retinoid X receptor beta; and (c) liver development associated with CCAAT/enhancer binding protein alpha and hepatic mitogens. In conclusion, increased mTOR activity conferred a preneoplastic phenotype to the HepaRG cells by altering the translation of genes vital for establishing normal hepatic energy homeostasis and moderating hepatocellular growth."}
{"STANDARD_NAME":"PYEON_HPV_POSITIVE_TUMORS_DN","SYSTEMATIC_NAME":"M18367","ORGANISM":"Homo sapiens","PMID":"17510386","AUTHORS":"Pyeon D,Newton MA,Lambert PF,den Boon JA,Sengupta S,Marsit CJ,Woodworth CD,Connor JP,Haugen TH,Smith EM,Kelsey KT,Turek LP,Ahlquist P","GEOID":"GSE6791","EXACT_SOURCE":"Table 3: t statistic < 0","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated genes in cervical carcinoma and head and neck tumors positive for human papilloma virus (HPV) compared to those negative for HPV.","DESCRIPTION_FULL":"Human papillomaviruses (HPV) are associated with nearly all cervical cancers, 20% to 30% of head and neck cancers (HNC), and other cancers. Because HNCs also arise in HPV-negative patients, this type of cancer provides unique opportunities to define similarities and differences of HPV-positive versus HPV-negative cancers arising in the same tissue. Here, we describe genome-wide expression profiling of 84 HNCs, cervical cancers, and site-matched normal epithelial samples in which we used laser capture microdissection to enrich samples for tumor-derived versus normal epithelial cells. This analysis revealed that HPV(+) HNCs and cervical cancers differed in their patterns of gene expression yet shared many changes compared with HPV(-) HNCs. Some of these shared changes were predicted, but many others were not. Notably, HPV(+) HNCs and cervical cancers were found to be up-regulated in their expression of a distinct and larger subset of cell cycle genes than that observed in HPV(-) HNC. Moreover, HPV(+) cancers overexpressed testis-specific genes that are normally expressed only in meiotic cells. Many, although not all, of the hallmark differences between HPV(+) HNC and HPV(-) HNC were a direct consequence of HPV and in particular the viral E6 and E7 oncogenes. This included a novel association of HPV oncogenes with testis-specific gene expression. These findings in primary human tumors provide novel biomarkers for early detection of HPV(+) and HPV(-) cancers, and emphasize the potential value of targeting E6 and E7 function, alone or combined with radiation and/or traditional chemotherapy, in the treatment of HPV(+) cancers."}
{"STANDARD_NAME":"LU_TUMOR_VASCULATURE_DN","SYSTEMATIC_NAME":"M14262","ORGANISM":"Homo sapiens","PMID":"17308118","AUTHORS":"Lu C,Bonome T,Li Y,Kamat AA,Han LY,Schmandt R,Coleman RL,Gershenson DM,Jaffe RB,Birrer MJ,Sood AK","EXACT_SOURCE":"Table 2","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in endothelial cells derived from invasive ovarian cancer tissue.","DESCRIPTION_FULL":"Therapeutic strategies based on antiangiogenic approaches are beginning to show great promise in clinical studies. However, full realization of these approaches requires identification of key differences in gene expression between endothelial cells from tumors versus their normal counterparts. Here, we examined gene expression differences in purified endothelial cells from 10 invasive epithelial ovarian cancers and 5 normal ovaries using Affymetrix U133 Plus 2.0 microarrays. More than 400 differentially expressed genes were identified in tumor-associated endothelial cells. We selected and validated 23 genes that were overexpressed by 3.6- to 168-fold using real-time reverse transcription-PCR and/or immunohistochemistry. Among these, the polycomb group protein enhancer of Zeste homologue 2 (EZH2), the Notch ligand Jagged1, and PTK2 were elevated 3- to 4.3-fold in tumor-associated endothelial cells. Silencing these genes individually with small interfering RNA blocked endothelial cell migration and tube formation in vitro. The present study shows that tumor and normal endothelium differ at the molecular level, which may have significant implications for the development of antiangiogenic therapies."}
{"STANDARD_NAME":"KORKOLA_EMBRYONAL_CARCINOMA_UP","SYSTEMATIC_NAME":"M12730","ORGANISM":"Homo sapiens","PMID":"16424014","AUTHORS":"Korkola JE,Houldsworth J,Chadalavada RS,Olshen AB,Dobrzynski D,Reuter VE,Bosl GJ,Chaganti RS","GEOID":"GSE3218","EXACT_SOURCE":"Table 3S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes from the 12p region that were up-regulated in embryonic carcinoma tumors compared to normal testis.","DESCRIPTION_FULL":"Adult male germ cell tumors (GCTs) comprise distinct groups: seminomas and nonseminomas, which include pluripotent embryonal carcinomas as well as other histologic subtypes exhibiting various stages of differentiation. Almost all GCTs show 12p gain, but the target genes have not been clearly defined. To identify 12p target genes, we examined Affymetrix (Santa Clara, CA) U133A+B microarray ( approximately 83% coverage of 12p genes) expression profiles of 17 seminomas, 84 nonseminoma GCTs, and 5 normal testis samples. Seventy-three genes on 12p were significantly overexpressed, including GLUT3 and REA (overexpressed in all GCTs) and CCND2 and FLJ22028 (overexpressed in all GCTs, except choriocarcinomas). We characterized a 200-kb gene cluster at 12p13.31 that exhibited coordinated overexpression in embryonal carcinomas and seminomas, which included the known stem cell genes NANOG, STELLA, and GDF3 and two previously uncharacterized genes. A search for other coordinately regulated genomic clusters of stem cell genes did not reveal any genomic regions similar to that at 12p13.31. Comparison of embryonal carcinoma with seminomas revealed relative overexpression of several stem cell-associated genes in embryonal carcinoma, including several core stemness genes (EBAF, TDGF1, and SOX2) and several downstream targets of WNT, NODAL, and FGF signaling (FGF4, NODAL, and ZFP42). Our results indicate that 12p gain is a functionally relevant change leading to activation of proliferation and reestablishment/maintenance of stem cell function through activation of key stem cell genes. Furthermore, the differential expression of core stem cell genes may explain the differences in pluripotency between embryonal carcinomas and seminomas."}
{"STANDARD_NAME":"KORKOLA_EMBRYONAL_CARCINOMA_DN","SYSTEMATIC_NAME":"M12977","ORGANISM":"Homo sapiens","PMID":"16424014","AUTHORS":"Korkola JE,Houldsworth J,Chadalavada RS,Olshen AB,Dobrzynski D,Reuter VE,Bosl GJ,Chaganti RS","GEOID":"GSE3218","EXACT_SOURCE":"Table 3S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes from the 12p region that were down-regulated in embryonic carcinoma tumors compared to normal tissue.","DESCRIPTION_FULL":"Adult male germ cell tumors (GCTs) comprise distinct groups: seminomas and nonseminomas, which include pluripotent embryonal carcinomas as well as other histologic subtypes exhibiting various stages of differentiation. Almost all GCTs show 12p gain, but the target genes have not been clearly defined. To identify 12p target genes, we examined Affymetrix (Santa Clara, CA) U133A+B microarray ( approximately 83% coverage of 12p genes) expression profiles of 17 seminomas, 84 nonseminoma GCTs, and 5 normal testis samples. Seventy-three genes on 12p were significantly overexpressed, including GLUT3 and REA (overexpressed in all GCTs) and CCND2 and FLJ22028 (overexpressed in all GCTs, except choriocarcinomas). We characterized a 200-kb gene cluster at 12p13.31 that exhibited coordinated overexpression in embryonal carcinomas and seminomas, which included the known stem cell genes NANOG, STELLA, and GDF3 and two previously uncharacterized genes. A search for other coordinately regulated genomic clusters of stem cell genes did not reveal any genomic regions similar to that at 12p13.31. Comparison of embryonal carcinoma with seminomas revealed relative overexpression of several stem cell-associated genes in embryonal carcinoma, including several core stemness genes (EBAF, TDGF1, and SOX2) and several downstream targets of WNT, NODAL, and FGF signaling (FGF4, NODAL, and ZFP42). Our results indicate that 12p gain is a functionally relevant change leading to activation of proliferation and reestablishment/maintenance of stem cell function through activation of key stem cell genes. Furthermore, the differential expression of core stem cell genes may explain the differences in pluripotency between embryonal carcinomas and seminomas."}
{"STANDARD_NAME":"KORKOLA_TERATOMA_UP","SYSTEMATIC_NAME":"M16021","ORGANISM":"Homo sapiens","PMID":"16424014","AUTHORS":"Korkola JE,Houldsworth J,Chadalavada RS,Olshen AB,Dobrzynski D,Reuter VE,Bosl GJ,Chaganti RS","GEOID":"GSE3218","EXACT_SOURCE":"Table 3S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes from the 12p region that up-regulated in teratoma cells compared to normal testis.","DESCRIPTION_FULL":"Adult male germ cell tumors (GCTs) comprise distinct groups: seminomas and nonseminomas, which include pluripotent embryonal carcinomas as well as other histologic subtypes exhibiting various stages of differentiation. Almost all GCTs show 12p gain, but the target genes have not been clearly defined. To identify 12p target genes, we examined Affymetrix (Santa Clara, CA) U133A+B microarray ( approximately 83% coverage of 12p genes) expression profiles of 17 seminomas, 84 nonseminoma GCTs, and 5 normal testis samples. Seventy-three genes on 12p were significantly overexpressed, including GLUT3 and REA (overexpressed in all GCTs) and CCND2 and FLJ22028 (overexpressed in all GCTs, except choriocarcinomas). We characterized a 200-kb gene cluster at 12p13.31 that exhibited coordinated overexpression in embryonal carcinomas and seminomas, which included the known stem cell genes NANOG, STELLA, and GDF3 and two previously uncharacterized genes. A search for other coordinately regulated genomic clusters of stem cell genes did not reveal any genomic regions similar to that at 12p13.31. Comparison of embryonal carcinoma with seminomas revealed relative overexpression of several stem cell-associated genes in embryonal carcinoma, including several core stemness genes (EBAF, TDGF1, and SOX2) and several downstream targets of WNT, NODAL, and FGF signaling (FGF4, NODAL, and ZFP42). Our results indicate that 12p gain is a functionally relevant change leading to activation of proliferation and reestablishment/maintenance of stem cell function through activation of key stem cell genes. Furthermore, the differential expression of core stem cell genes may explain the differences in pluripotency between embryonal carcinomas and seminomas."}
{"STANDARD_NAME":"KORKOLA_YOLK_SAC_TUMOR_UP","SYSTEMATIC_NAME":"M18161","ORGANISM":"Homo sapiens","PMID":"16424014","AUTHORS":"Korkola JE,Houldsworth J,Chadalavada RS,Olshen AB,Dobrzynski D,Reuter VE,Bosl GJ,Chaganti RS","GEOID":"GSE3218","EXACT_SOURCE":"Table 3S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes from the 12p region that were up-regulated in yolk sac tumor cells compared to normal testis.","DESCRIPTION_FULL":"Adult male germ cell tumors (GCTs) comprise distinct groups: seminomas and nonseminomas, which include pluripotent embryonal carcinomas as well as other histologic subtypes exhibiting various stages of differentiation. Almost all GCTs show 12p gain, but the target genes have not been clearly defined. To identify 12p target genes, we examined Affymetrix (Santa Clara, CA) U133A+B microarray ( approximately 83% coverage of 12p genes) expression profiles of 17 seminomas, 84 nonseminoma GCTs, and 5 normal testis samples. Seventy-three genes on 12p were significantly overexpressed, including GLUT3 and REA (overexpressed in all GCTs) and CCND2 and FLJ22028 (overexpressed in all GCTs, except choriocarcinomas). We characterized a 200-kb gene cluster at 12p13.31 that exhibited coordinated overexpression in embryonal carcinomas and seminomas, which included the known stem cell genes NANOG, STELLA, and GDF3 and two previously uncharacterized genes. A search for other coordinately regulated genomic clusters of stem cell genes did not reveal any genomic regions similar to that at 12p13.31. Comparison of embryonal carcinoma with seminomas revealed relative overexpression of several stem cell-associated genes in embryonal carcinoma, including several core stemness genes (EBAF, TDGF1, and SOX2) and several downstream targets of WNT, NODAL, and FGF signaling (FGF4, NODAL, and ZFP42). Our results indicate that 12p gain is a functionally relevant change leading to activation of proliferation and reestablishment/maintenance of stem cell function through activation of key stem cell genes. Furthermore, the differential expression of core stem cell genes may explain the differences in pluripotency between embryonal carcinomas and seminomas."}
{"STANDARD_NAME":"KORKOLA_CHORIOCARCINOMA_UP","SYSTEMATIC_NAME":"M14050","ORGANISM":"Homo sapiens","PMID":"16424014","AUTHORS":"Korkola JE,Houldsworth J,Chadalavada RS,Olshen AB,Dobrzynski D,Reuter VE,Bosl GJ,Chaganti RS","GEOID":"GSE3218","EXACT_SOURCE":"Table 3S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes from the 12p region that were up-regulated in choriocarcinoma cells compared to normal testis.","DESCRIPTION_FULL":"Adult male germ cell tumors (GCTs) comprise distinct groups: seminomas and nonseminomas, which include pluripotent embryonal carcinomas as well as other histologic subtypes exhibiting various stages of differentiation. Almost all GCTs show 12p gain, but the target genes have not been clearly defined. To identify 12p target genes, we examined Affymetrix (Santa Clara, CA) U133A+B microarray ( approximately 83% coverage of 12p genes) expression profiles of 17 seminomas, 84 nonseminoma GCTs, and 5 normal testis samples. Seventy-three genes on 12p were significantly overexpressed, including GLUT3 and REA (overexpressed in all GCTs) and CCND2 and FLJ22028 (overexpressed in all GCTs, except choriocarcinomas). We characterized a 200-kb gene cluster at 12p13.31 that exhibited coordinated overexpression in embryonal carcinomas and seminomas, which included the known stem cell genes NANOG, STELLA, and GDF3 and two previously uncharacterized genes. A search for other coordinately regulated genomic clusters of stem cell genes did not reveal any genomic regions similar to that at 12p13.31. Comparison of embryonal carcinoma with seminomas revealed relative overexpression of several stem cell-associated genes in embryonal carcinoma, including several core stemness genes (EBAF, TDGF1, and SOX2) and several downstream targets of WNT, NODAL, and FGF signaling (FGF4, NODAL, and ZFP42). Our results indicate that 12p gain is a functionally relevant change leading to activation of proliferation and reestablishment/maintenance of stem cell function through activation of key stem cell genes. Furthermore, the differential expression of core stem cell genes may explain the differences in pluripotency between embryonal carcinomas and seminomas."}
{"STANDARD_NAME":"KORKOLA_CHORIOCARCINOMA_DN","SYSTEMATIC_NAME":"M11068","ORGANISM":"Homo sapiens","PMID":"16424014","AUTHORS":"Korkola JE,Houldsworth J,Chadalavada RS,Olshen AB,Dobrzynski D,Reuter VE,Bosl GJ,Chaganti RS","GEOID":"GSE3218","EXACT_SOURCE":"Table 3S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes from the 12p region that were down-regulated in choriocarcinoma cells compared to normal testis.","DESCRIPTION_FULL":"Adult male germ cell tumors (GCTs) comprise distinct groups: seminomas and nonseminomas, which include pluripotent embryonal carcinomas as well as other histologic subtypes exhibiting various stages of differentiation. Almost all GCTs show 12p gain, but the target genes have not been clearly defined. To identify 12p target genes, we examined Affymetrix (Santa Clara, CA) U133A+B microarray ( approximately 83% coverage of 12p genes) expression profiles of 17 seminomas, 84 nonseminoma GCTs, and 5 normal testis samples. Seventy-three genes on 12p were significantly overexpressed, including GLUT3 and REA (overexpressed in all GCTs) and CCND2 and FLJ22028 (overexpressed in all GCTs, except choriocarcinomas). We characterized a 200-kb gene cluster at 12p13.31 that exhibited coordinated overexpression in embryonal carcinomas and seminomas, which included the known stem cell genes NANOG, STELLA, and GDF3 and two previously uncharacterized genes. A search for other coordinately regulated genomic clusters of stem cell genes did not reveal any genomic regions similar to that at 12p13.31. Comparison of embryonal carcinoma with seminomas revealed relative overexpression of several stem cell-associated genes in embryonal carcinoma, including several core stemness genes (EBAF, TDGF1, and SOX2) and several downstream targets of WNT, NODAL, and FGF signaling (FGF4, NODAL, and ZFP42). Our results indicate that 12p gain is a functionally relevant change leading to activation of proliferation and reestablishment/maintenance of stem cell function through activation of key stem cell genes. Furthermore, the differential expression of core stem cell genes may explain the differences in pluripotency between embryonal carcinomas and seminomas."}
{"STANDARD_NAME":"KORKOLA_SEMINOMA_UP","SYSTEMATIC_NAME":"M18387","ORGANISM":"Homo sapiens","PMID":"16424014","AUTHORS":"Korkola JE,Houldsworth J,Chadalavada RS,Olshen AB,Dobrzynski D,Reuter VE,Bosl GJ,Chaganti RS","GEOID":"GSE3218","EXACT_SOURCE":"Table 3S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes from the 12p region that were up-regulated in seminoma tumors compared to normal testis.","DESCRIPTION_FULL":"Adult male germ cell tumors (GCTs) comprise distinct groups: seminomas and nonseminomas, which include pluripotent embryonal carcinomas as well as other histologic subtypes exhibiting various stages of differentiation. Almost all GCTs show 12p gain, but the target genes have not been clearly defined. To identify 12p target genes, we examined Affymetrix (Santa Clara, CA) U133A+B microarray ( approximately 83% coverage of 12p genes) expression profiles of 17 seminomas, 84 nonseminoma GCTs, and 5 normal testis samples. Seventy-three genes on 12p were significantly overexpressed, including GLUT3 and REA (overexpressed in all GCTs) and CCND2 and FLJ22028 (overexpressed in all GCTs, except choriocarcinomas). We characterized a 200-kb gene cluster at 12p13.31 that exhibited coordinated overexpression in embryonal carcinomas and seminomas, which included the known stem cell genes NANOG, STELLA, and GDF3 and two previously uncharacterized genes. A search for other coordinately regulated genomic clusters of stem cell genes did not reveal any genomic regions similar to that at 12p13.31. Comparison of embryonal carcinoma with seminomas revealed relative overexpression of several stem cell-associated genes in embryonal carcinoma, including several core stemness genes (EBAF, TDGF1, and SOX2) and several downstream targets of WNT, NODAL, and FGF signaling (FGF4, NODAL, and ZFP42). Our results indicate that 12p gain is a functionally relevant change leading to activation of proliferation and reestablishment/maintenance of stem cell function through activation of key stem cell genes. Furthermore, the differential expression of core stem cell genes may explain the differences in pluripotency between embryonal carcinomas and seminomas."}
{"STANDARD_NAME":"KORKOLA_SEMINOMA_DN","SYSTEMATIC_NAME":"M632","ORGANISM":"Homo sapiens","PMID":"16424014","AUTHORS":"Korkola JE,Houldsworth J,Chadalavada RS,Olshen AB,Dobrzynski D,Reuter VE,Bosl GJ,Chaganti RS","GEOID":"GSE3218","EXACT_SOURCE":"Table 3S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes from the 12p region that were down-regulated in seminoma tumors compared to normal testis.","DESCRIPTION_FULL":"Adult male germ cell tumors (GCTs) comprise distinct groups: seminomas and nonseminomas, which include pluripotent embryonal carcinomas as well as other histologic subtypes exhibiting various stages of differentiation. Almost all GCTs show 12p gain, but the target genes have not been clearly defined. To identify 12p target genes, we examined Affymetrix (Santa Clara, CA) U133A+B microarray ( approximately 83% coverage of 12p genes) expression profiles of 17 seminomas, 84 nonseminoma GCTs, and 5 normal testis samples. Seventy-three genes on 12p were significantly overexpressed, including GLUT3 and REA (overexpressed in all GCTs) and CCND2 and FLJ22028 (overexpressed in all GCTs, except choriocarcinomas). We characterized a 200-kb gene cluster at 12p13.31 that exhibited coordinated overexpression in embryonal carcinomas and seminomas, which included the known stem cell genes NANOG, STELLA, and GDF3 and two previously uncharacterized genes. A search for other coordinately regulated genomic clusters of stem cell genes did not reveal any genomic regions similar to that at 12p13.31. Comparison of embryonal carcinoma with seminomas revealed relative overexpression of several stem cell-associated genes in embryonal carcinoma, including several core stemness genes (EBAF, TDGF1, and SOX2) and several downstream targets of WNT, NODAL, and FGF signaling (FGF4, NODAL, and ZFP42). Our results indicate that 12p gain is a functionally relevant change leading to activation of proliferation and reestablishment/maintenance of stem cell function through activation of key stem cell genes. Furthermore, the differential expression of core stem cell genes may explain the differences in pluripotency between embryonal carcinomas and seminomas."}
{"STANDARD_NAME":"WATANABE_RECTAL_CANCER_RADIOTHERAPY_RESPONSIVE_UP","SYSTEMATIC_NAME":"M1260","ORGANISM":"Homo sapiens","PMID":"16585155","AUTHORS":"Watanabe T,Komuro Y,Kiyomatsu T,Kanazawa T,Kazama Y,Tanaka J,Tanaka T,Yamamoto Y,Shirane M,Muto T,Nagawa H","GEOID":"GSE3493","EXACT_SOURCE":"Table 1S: non-responders / responders > 1","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in rectal cancer patients resistant to radiotherapy (non-responders) relative to the sensitive ones (responders).","DESCRIPTION_FULL":"Preoperative radiotherapy has been widely used to improve local control of disease and to improve survival in the treatment of rectal cancer. However, the response to radiotherapy differs among individual tumors. Our objective here was to identify a set of discriminating genes that can be used for characterization and prediction of response to radiotherapy in rectal cancer. Fifty-two rectal cancer patients who underwent preoperative radiotherapy were studied. Biopsy specimens were obtained from rectal cancer before preoperative radiotherapy. Response to radiotherapy was determined by histopathologic examination of surgically resected specimens and classified as responders or nonresponders. By determining gene expression profiles using human U95Av2 Gene Chip, we identified 33 novel discriminating genes of which the expression differed significantly between responders and nonresponders. Using this gene set, we were able to establish a new model to predict response to radiotherapy in rectal cancer with an accuracy of 82.4%. The list of discriminating genes included growth factor, apoptosis, cell proliferation, signal transduction, or cell adhesion-related genes. Among 33 discriminating genes, apoptosis inducers (lumican, thrombospondin 2, and galectin-1) showed higher expression in responders whereas apoptosis inhibitors (cyclophilin 40 and glutathione peroxidase) showed higher expression in nonresponders. The present study suggested the possibility that gene expression profiling may be useful in predicting response to radiotherapy to establish an individualized tailored therapy for rectal cancer. Global expression profiles of responders and nonresponders may provide insights into the development of novel therapeutic targets."}
{"STANDARD_NAME":"HOLLMANN_APOPTOSIS_VIA_CD40_UP","SYSTEMATIC_NAME":"M9695","ORGANISM":"Homo sapiens","PMID":"16585179","AUTHORS":"Hollmann CA,Owens T,Nalbantoglu J,Hudson TJ,Sladek R","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in DLBCL (diffuse large B-cell lymphoma) cell lines sensitive to stimulation of CD40 [GeneID=958] relative to the resistant ones.","DESCRIPTION_FULL":"CD40 promotes survival, proliferation, and differentiation of normal B cells but can cause activation-induced cell death in malignant B lymphocytes. CD40 ligand and anti-CD40 antibodies have been used successfully to induce apoptosis in lymphoma lines both in vitro and in xenograft tumor models. Although this makes CD40 an attractive target for antitumor therapies, the response of malignant B cells to CD40 signaling is variable, and CD40 stimulation can enhance proliferation and can increase chemoresistance in some cell lines. It would therefore be useful to identify markers that predict whether a specific cell line or tumor will undergo apoptosis when stimulated with CD40 and to identify targets downstream of CD40 that affect only the apoptotic arm of CD40 signaling. We have analyzed gene expression patterns in CD40-sensitive and CD40-resistant diffuse large B-cell lymphoma (DLBCL) cell lines to identify signaling pathways that are involved in CD40-mediated apoptosis. CD40-resistant lines expressed pre-B-cell markers, including RAG and VPREB, whereas CD40-sensitive cells resembled mature B cells and expressed higher levels of transcripts encoding several members of the CD40 signaling pathway, including LCK and VAV. In addition, CD40-sensitive DLBCL cell lines also displayed constitutive activation of extracellular signal-regulated kinase (ERK) and failed to undergo apoptosis when ERK phosphorylation was inhibited. In contrast, CD40-resistant lines showed no constitutive activation of ERK and no increase in ERK activity in response to CD40 stimulation. Our results suggest that constitutive activation of ERK may be required for death signaling by CD40."}
{"STANDARD_NAME":"LIU_PROSTATE_CANCER_UP","SYSTEMATIC_NAME":"M4619","ORGANISM":"Homo sapiens","PMID":"16618720","AUTHORS":"Liu P,Ramachandran S,Ali Seyed M,Scharer CD,Laycock N,Dalton WB,Williams H,Karanam S,Datta MW,Jaye DL,Moreno CS","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in prostate cancer samples.","DESCRIPTION_FULL":"Prostate cancer is the most commonly diagnosed noncutaneous neoplasm and second most common cause of cancer-related mortality in western men. To investigate the mechanisms of prostate cancer development and progression, we did expression profiling of human prostate cancer and benign tissues. We show that the SOX4 is overexpressed in prostate tumor samples compared with benign tissues by microarray analysis, real-time PCR, and immunohistochemistry. We also show that SOX4 expression is highly correlated with Gleason score at the mRNA and protein level using tissue microarrays. Genes affected by SOX4 expression were also identified, including BCL10, CSF1, and NcoA4/ARA70. TLE-1 and BBC3/PUMA were identified as direct targets of SOX4. Silencing of SOX4 by small interfering RNA transfection induced apoptosis of prostate cancer cells, suggesting that SOX4 could be a therapeutic target for prostate cancer. Stable transfection of SOX4 into nontransformed prostate cells enabled colony formation in soft agar, suggesting that, in the proper cellular context, SOX4 can be a transforming oncogene."}
{"STANDARD_NAME":"LIU_SOX4_TARGETS_UP","SYSTEMATIC_NAME":"M17450","ORGANISM":"Homo sapiens","PMID":"16618720","AUTHORS":"Liu P,Ramachandran S,Ali Seyed M,Scharer CD,Laycock N,Dalton WB,Williams H,Karanam S,Datta MW,Jaye DL,Moreno CS","EXACT_SOURCE":"Table 2S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in LNCaP cells (prostate cancer) by overexpression of SOX4 [GeneID=6659] and down-regulated by its RNAi knockdown.","DESCRIPTION_FULL":"Prostate cancer is the most commonly diagnosed noncutaneous neoplasm and second most common cause of cancer-related mortality in western men. To investigate the mechanisms of prostate cancer development and progression, we did expression profiling of human prostate cancer and benign tissues. We show that the SOX4 is overexpressed in prostate tumor samples compared with benign tissues by microarray analysis, real-time PCR, and immunohistochemistry. We also show that SOX4 expression is highly correlated with Gleason score at the mRNA and protein level using tissue microarrays. Genes affected by SOX4 expression were also identified, including BCL10, CSF1, and NcoA4/ARA70. TLE-1 and BBC3/PUMA were identified as direct targets of SOX4. Silencing of SOX4 by small interfering RNA transfection induced apoptosis of prostate cancer cells, suggesting that SOX4 could be a therapeutic target for prostate cancer. Stable transfection of SOX4 into nontransformed prostate cells enabled colony formation in soft agar, suggesting that, in the proper cellular context, SOX4 can be a transforming oncogene."}
{"STANDARD_NAME":"BERTUCCI_MEDULLARY_VS_DUCTAL_BREAST_CANCER_UP","SYSTEMATIC_NAME":"M14539","ORGANISM":"Homo sapiens","PMID":"16651414","AUTHORS":"Bertucci F,Finetti P,Cervera N,Charafe-Jauffret E,Mamessier E,Adélaïde J,Debono S,Houvenaeghel G,Maraninchi D,Viens P,Charpin C,Jacquemier J,Birnbaum D","EXACT_SOURCE":"Table 3S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in medullary breast cancer (MBC) relative to ductal breast cancer (DBD).","DESCRIPTION_FULL":"Medullary breast cancer (MBC) is a rare but enigmatic pathologic type of breast cancer. Despite features of aggressiveness, MBC is associated with a favorable prognosis. Morphologic diagnosis remains difficult in many cases. Very little is known about the molecular alterations involved in MBC. Notably, it is not clear whether MBC and ductal breast cancer (DBC) represent molecularly distinct entities and what genes/proteins might account for their differences. Using whole-genome oligonucleotide microarrays, we compared gene expression profiles of 22 MBCs and 44 grade III DBCs. We show that MBCs are less heterogeneous than DBCs. Whereas different molecular subtypes (luminal A, luminal B, basal, ERBB2-overexpressing, and normal-like) exist in DBCs, 95% MBCs display a basal profile, similar to that of basal DBCs. Supervised analysis identified gene expression signatures that discriminated MBCs from DBCs. Discriminator genes are associated with various cellular processes related to MBC features, in particular immune reaction and apoptosis. As compared with MBCs, basal DBCs overexpress genes involved in smooth muscle cell differentiation, suggesting that MBCs are a distinct subgroup of basal breast cancer with limited myoepithelial differentiation. Finally, MBCs overexpress a series of genes located on the 12p13 and 6p21 chromosomal regions known to contain pluripotency genes. Our results contribute to a better understanding of MBC and of mammary oncogenesis in general."}
{"STANDARD_NAME":"DAVICIONI_PAX_FOXO1_SIGNATURE_IN_ARMS_UP","SYSTEMATIC_NAME":"M4991","ORGANISM":"Homo sapiens","PMID":"16849537","AUTHORS":"Davicioni E,Finckenstein FG,Shahbazian V,Buckley JD,Triche TJ,Anderson MJ","EXACT_SOURCE":"Table 1: PAX-FKHR regulation = Up","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"'PAX-FKHR signature': genes up-regulated by PAX3- or PAX7-FOXO1 [GeneID=5081;5077;2308] fusion in primary alveolar rhabdomyosarcoma(ARMS) tumors.","DESCRIPTION_FULL":"Alveolar rhabdomyosarcomas (ARMS) are aggressive soft-tissue sarcomas affecting children and young adults. Most ARMS tumors express the PAX3-FKHR or PAX7-FKHR (PAX-FKHR) fusion genes resulting from the t(2;13) or t(1;13) chromosomal translocations, respectively. However, up to 25% of ARMS tumors are fusion negative, making it unclear whether ARMS represent a single disease or multiple clinical and biological entities with a common phenotype. To test to what extent PAX-FKHR determine class and behavior of ARMS, we used oligonucleotide microarray expression profiling on 139 primary rhabdomyosarcoma tumors and an in vitro model. We found that ARMS tumors expressing either PAX-FKHR gene share a common expression profile distinct from fusion-negative ARMS and from the other rhabdomyosarcoma variants. We also observed that PAX-FKHR expression above a minimum level is necessary for the detection of this expression profile. Using an ectopic PAX3-FKHR and PAX7-FKHR expression model, we identified an expression signature regulated by PAX-FKHR that is specific to PAX-FKHR-positive ARMS tumors. Data mining for functional annotations of signature genes suggested a role for PAX-FKHR in regulating ARMS proliferation and differentiation. Cox regression modeling identified a subset of genes within the PAX-FKHR expression signature that segregated ARMS patients into three risk groups with 5-year overall survival estimates of 7%, 48%, and 93%. These prognostic classes were independent of conventional clinical risk factors. Our results show that PAX-FKHR dictate a specific expression signature that helps define the molecular phenotype of PAX-FKHR-positive ARMS tumors and, because it is linked with disease outcome in ARMS patients, determine tumor behavior."}
{"STANDARD_NAME":"DAVICIONI_PAX_FOXO1_SIGNATURE_IN_ARMS_DN","SYSTEMATIC_NAME":"M3642","ORGANISM":"Homo sapiens","PMID":"16849537","AUTHORS":"Davicioni E,Finckenstein FG,Shahbazian V,Buckley JD,Triche TJ,Anderson MJ","EXACT_SOURCE":"Table 1: PAX-FKHR regulation = Down","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"'PAX-FKHR signature': genes down-regulated by PAX3- or PAX7-FOXO1 [GeneID=5081;5077;2308] fusion in primary alveolar rhabdomyosarcoma(ARMS) tumors.","DESCRIPTION_FULL":"Alveolar rhabdomyosarcomas (ARMS) are aggressive soft-tissue sarcomas affecting children and young adults. Most ARMS tumors express the PAX3-FKHR or PAX7-FKHR (PAX-FKHR) fusion genes resulting from the t(2;13) or t(1;13) chromosomal translocations, respectively. However, up to 25% of ARMS tumors are fusion negative, making it unclear whether ARMS represent a single disease or multiple clinical and biological entities with a common phenotype. To test to what extent PAX-FKHR determine class and behavior of ARMS, we used oligonucleotide microarray expression profiling on 139 primary rhabdomyosarcoma tumors and an in vitro model. We found that ARMS tumors expressing either PAX-FKHR gene share a common expression profile distinct from fusion-negative ARMS and from the other rhabdomyosarcoma variants. We also observed that PAX-FKHR expression above a minimum level is necessary for the detection of this expression profile. Using an ectopic PAX3-FKHR and PAX7-FKHR expression model, we identified an expression signature regulated by PAX-FKHR that is specific to PAX-FKHR-positive ARMS tumors. Data mining for functional annotations of signature genes suggested a role for PAX-FKHR in regulating ARMS proliferation and differentiation. Cox regression modeling identified a subset of genes within the PAX-FKHR expression signature that segregated ARMS patients into three risk groups with 5-year overall survival estimates of 7%, 48%, and 93%. These prognostic classes were independent of conventional clinical risk factors. Our results show that PAX-FKHR dictate a specific expression signature that helps define the molecular phenotype of PAX-FKHR-positive ARMS tumors and, because it is linked with disease outcome in ARMS patients, determine tumor behavior."}
{"STANDARD_NAME":"FOURNIER_ACINAR_DEVELOPMENT_EARLY_UP","SYSTEMATIC_NAME":"M18424","ORGANISM":"Homo sapiens","PMID":"16849555","AUTHORS":"Fournier MV,Martin KJ,Kenny PA,Xhaja K,Bosch I,Yaswen P,Bissell MJ","GEOID":"GSE8096","EXACT_SOURCE":"Table 1S: ue","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated early in HMEC cells (mammary epithelium) during acinar development in vitro.","DESCRIPTION_FULL":"Nonmalignant human mammary epithelial cells (HMEC) seeded in laminin-rich extracellular matrix (lrECM) form polarized acini and, in doing so, transit from a disorganized proliferating state to an organized growth-arrested state. We hypothesized that the gene expression pattern of organized and growth-arrested HMECs would share similarities with breast tumors with good prognoses. Using Affymetrix HG-U133A microarrays, we analyzed the expression of 22,283 gene transcripts in 184 (finite life span) and HMT3522 S1 (immortal nonmalignant) HMECs on successive days after seeding in a lrECM assay. Both HMECs underwent growth arrest in G0-G1 and differentiated into polarized acini between days 5 and 7. We identified gene expression changes with the same temporal pattern in both lines and examined the expression of these genes in a previously published panel of microarray data for 295 breast cancer samples. We show that genes that are significantly lower in the organized, growth-arrested HMEC than in their proliferating counterparts can be used to classify breast cancer patients into poor and good prognosis groups with high accuracy. This study represents a novel unsupervised approach to identifying breast cancer markers that may be of use clinically."}
{"STANDARD_NAME":"FOURNIER_ACINAR_DEVELOPMENT_EARLY_DN","SYSTEMATIC_NAME":"M14136","ORGANISM":"Homo sapiens","PMID":"16849555","AUTHORS":"Fournier MV,Martin KJ,Kenny PA,Xhaja K,Bosch I,Yaswen P,Bissell MJ","GEOID":"GSE8096","EXACT_SOURCE":"Table 1S: de","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated early in HMEC cells (mammary epithelium) during acinar development in vitro.","DESCRIPTION_FULL":"Nonmalignant human mammary epithelial cells (HMEC) seeded in laminin-rich extracellular matrix (lrECM) form polarized acini and, in doing so, transit from a disorganized proliferating state to an organized growth-arrested state. We hypothesized that the gene expression pattern of organized and growth-arrested HMECs would share similarities with breast tumors with good prognoses. Using Affymetrix HG-U133A microarrays, we analyzed the expression of 22,283 gene transcripts in 184 (finite life span) and HMT3522 S1 (immortal nonmalignant) HMECs on successive days after seeding in a lrECM assay. Both HMECs underwent growth arrest in G0-G1 and differentiated into polarized acini between days 5 and 7. We identified gene expression changes with the same temporal pattern in both lines and examined the expression of these genes in a previously published panel of microarray data for 295 breast cancer samples. We show that genes that are significantly lower in the organized, growth-arrested HMEC than in their proliferating counterparts can be used to classify breast cancer patients into poor and good prognosis groups with high accuracy. This study represents a novel unsupervised approach to identifying breast cancer markers that may be of use clinically."}
{"STANDARD_NAME":"FOURNIER_ACINAR_DEVELOPMENT_LATE_UP","SYSTEMATIC_NAME":"M644","ORGANISM":"Homo sapiens","PMID":"16849555","AUTHORS":"Fournier MV,Martin KJ,Kenny PA,Xhaja K,Bosch I,Yaswen P,Bissell MJ","GEOID":"GSE8096","EXACT_SOURCE":"Table 1S: ul","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated late in HMEC cells (mammary epithelium) during acinar development in vitro.","DESCRIPTION_FULL":"Nonmalignant human mammary epithelial cells (HMEC) seeded in laminin-rich extracellular matrix (lrECM) form polarized acini and, in doing so, transit from a disorganized proliferating state to an organized growth-arrested state. We hypothesized that the gene expression pattern of organized and growth-arrested HMECs would share similarities with breast tumors with good prognoses. Using Affymetrix HG-U133A microarrays, we analyzed the expression of 22,283 gene transcripts in 184 (finite life span) and HMT3522 S1 (immortal nonmalignant) HMECs on successive days after seeding in a lrECM assay. Both HMECs underwent growth arrest in G0-G1 and differentiated into polarized acini between days 5 and 7. We identified gene expression changes with the same temporal pattern in both lines and examined the expression of these genes in a previously published panel of microarray data for 295 breast cancer samples. We show that genes that are significantly lower in the organized, growth-arrested HMEC than in their proliferating counterparts can be used to classify breast cancer patients into poor and good prognosis groups with high accuracy. This study represents a novel unsupervised approach to identifying breast cancer markers that may be of use clinically."}
{"STANDARD_NAME":"NAM_FXYD5_TARGETS_DN","SYSTEMATIC_NAME":"M7076","ORGANISM":"Homo sapiens","PMID":"16849564","AUTHORS":"Nam JS,Kang MJ,Suchar AM,Shimamura T,Kohn EA,Michalowska AM,Jordan VC,Hirohashi S,Wakefield LM","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in MDA-MB-231 cells (breast cancer) after knockdown of FXYD5 [GeneID=53827] by RNAi.","DESCRIPTION_FULL":"Dysadherin, a cancer-associated membrane glycoprotein, down-regulates E-cadherin and promotes cancer metastasis. This study examined the role of dysadherin in breast cancer progression. Expression of dysadherin was found to be highest in breast cancer cell lines and tumors that lacked the estrogen receptor (ER). Knockdown of dysadherin caused increased association of E-cadherin with the actin cytoskeleton in breast cancer cell lines that expressed E-cadherin. However, knockdown of dysadherin could still suppress cell invasiveness in cells that had no functional E-cadherin, suggesting the existence of a novel mechanism of action. Global gene expression analysis identified chemokine (C-C motif) ligand 2 (CCL2) as the transcript most affected by dysadherin knockdown in MDA-MB-231 cells, and dysadherin was shown to regulate CCL2 expression in part through activation of the nuclear factor-kappaB pathway. The ability of dysadherin to promote tumor cell invasion in vitro was dependent on the establishment of a CCL2 autocrine loop, and CCL2 secreted by dysadherin-positive tumor cells also promoted endothelial cell migration in a paracrine fashion. Finally, experimental suppression of CCL2 in MDA-MB-231 cells reduced their ability to metastasize in vivo. This study shows that dysadherin has prometastatic effects that are independent of E-cadherin expression and that CCL2 could play an important role in mediating the prometastatic effect of dysadherin in ER-negative breast cancer."}
{"STANDARD_NAME":"FRASOR_TAMOXIFEN_RESPONSE_UP","SYSTEMATIC_NAME":"M17651","ORGANISM":"Homo sapiens","PMID":"16849584","AUTHORS":"Frasor J,Chang EC,Komm B,Lin CY,Vega VB,Liu ET,Miller LD,Smeds J,Bergh J,Katzenellenbogen BS","GEOID":"GSE4025","EXACT_SOURCE":"Table 1AS","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes preferentially up-regulated in MCF-7 cells (breast cancer) by tamoxifen [PubChem=5376] but not by estradiol or fulvestrant (ICI 182780) [PubChem=5757;3478439].","DESCRIPTION_FULL":"The beneficial effect of the selective estrogen receptor (ER) modulator tamoxifen in the treatment and prevention of breast cancer is assumed to be through its ability to antagonize the stimulatory actions of estrogen, although tamoxifen can also have some estrogen-like agonist effects. Here, we report that, in addition to these mixed agonist/antagonist actions, tamoxifen can also selectively regulate a unique set of >60 genes, which are minimally regulated by estradiol (E2) or raloxifene in ERalpha-positive MCF-7 human breast cancer cells. This gene regulation by tamoxifen is mediated by ERalpha and reversed by E2 or ICI 182,780. Introduction of ERbeta into MCF-7 cells reverses tamoxifen action on approximately 75% of these genes. To examine whether these genes might serve as markers of tamoxifen sensitivity and/or the development of resistance, their expression level was examined in breast cancers of women who had received adjuvant therapy with tamoxifen. High expression of two of the tamoxifen-stimulated genes, YWHAZ/14-3-3z and LOC441453, was found to correlate significantly with disease recurrence following tamoxifen treatment in women with ER-positive cancers and hence seem to be markers of a poor prognosis. Our data indicate a new dimension in tamoxifen action, involving gene expression regulation that is tamoxifen preferential, and identify genes that might serve as markers of tumor responsiveness or resistance to tamoxifen therapy. This may have a potential effect on the choice of tamoxifen versus aromatase inhibitors as adjuvant endocrine therapy."}
{"STANDARD_NAME":"FRASOR_TAMOXIFEN_RESPONSE_DN","SYSTEMATIC_NAME":"M5082","ORGANISM":"Homo sapiens","PMID":"16849584","AUTHORS":"Frasor J,Chang EC,Komm B,Lin CY,Vega VB,Liu ET,Miller LD,Smeds J,Bergh J,Katzenellenbogen BS","GEOID":"GSE4025","EXACT_SOURCE":"Table 1BS","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes preferentially down-regulated in MCF-7 cells (breast cancer) by tamoxifen [PubChem=5376] but not by estradiol or fulvestrant (ICI 182780) [PubChem=5757;3478439].","DESCRIPTION_FULL":"The beneficial effect of the selective estrogen receptor (ER) modulator tamoxifen in the treatment and prevention of breast cancer is assumed to be through its ability to antagonize the stimulatory actions of estrogen, although tamoxifen can also have some estrogen-like agonist effects. Here, we report that, in addition to these mixed agonist/antagonist actions, tamoxifen can also selectively regulate a unique set of >60 genes, which are minimally regulated by estradiol (E2) or raloxifene in ERalpha-positive MCF-7 human breast cancer cells. This gene regulation by tamoxifen is mediated by ERalpha and reversed by E2 or ICI 182,780. Introduction of ERbeta into MCF-7 cells reverses tamoxifen action on approximately 75% of these genes. To examine whether these genes might serve as markers of tamoxifen sensitivity and/or the development of resistance, their expression level was examined in breast cancers of women who had received adjuvant therapy with tamoxifen. High expression of two of the tamoxifen-stimulated genes, YWHAZ/14-3-3z and LOC441453, was found to correlate significantly with disease recurrence following tamoxifen treatment in women with ER-positive cancers and hence seem to be markers of a poor prognosis. Our data indicate a new dimension in tamoxifen action, involving gene expression regulation that is tamoxifen preferential, and identify genes that might serve as markers of tumor responsiveness or resistance to tamoxifen therapy. This may have a potential effect on the choice of tamoxifen versus aromatase inhibitors as adjuvant endocrine therapy."}
{"STANDARD_NAME":"KIM_RESPONSE_TO_TSA_AND_DECITABINE_DN","SYSTEMATIC_NAME":"M14954","ORGANISM":"Homo sapiens","PMID":"16885346","AUTHORS":"Kim TY,Zhong S,Fields CR,Kim JH,Robertson KD","EXACT_SOURCE":"Table 3S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in glioma cell lines treated with both decitabine [PubChem=451668] and TSA [PubChem=5562].","DESCRIPTION_FULL":"Malignant glioma is the most common central nervous system tumor of adults and is associated with a significant degree of morbidity and mortality. Gliomas are highly invasive and respond poorly to conventional treatments. Gliomas, like other tumor types, arise from a complex and poorly understood sequence of genetic and epigenetic alterations. Epigenetic alterations leading to gene silencing, in the form of aberrant CpG island promoter hypermethylation and histone deacetylation, have not been thoroughly investigated in brain tumors, and elucidating such changes is likely to enhance our understanding of their etiology and provide new treatment options. We used a combined approach of pharmacologic inhibition of DNA methylation and histone deacetylation, coupled with expression microarrays, to identify novel targets of epigenetic silencing in glioma cell lines. From this analysis, we identified >160 genes up-regulated by 5-aza-2'-deoxycytidine and trichostatin A treatment. Further characterization of 10 of these genes, including the putative metastasis suppressor CST6, the apoptosis-inducer BIK, and TSPYL5, whose function is unknown, revealed that they are frequent targets of epigenetic silencing in glioma cell lines and primary tumors and suppress glioma cell growth in culture. Furthermore, we show that other members of the TSPYL gene family are epigenetically silenced in gliomas and dissect the contribution of individual DNA methyltransferases to the aberrant promoter hypermethylation events. These studies, therefore, lay the foundation for a comprehensive understanding of the full extent of epigenetic changes in gliomas and how they may be exploited for therapeutic purposes."}
{"STANDARD_NAME":"WATANABE_COLON_CANCER_MSI_VS_MSS_UP","SYSTEMATIC_NAME":"M12403","ORGANISM":"Homo sapiens","PMID":"17047040","AUTHORS":"Watanabe T,Kobunai T,Toda E,Yamamoto Y,Kanazawa T,Kazama Y,Tanaka J,Tanaka T,Konishi T,Okayama Y,Sugimoto Y,Oka T,Sasaki S,Muto T,Nagawa H","GEOID":"GSE4554","EXACT_SOURCE":"Table 2S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Up-regulated genes discriminating between MSI (microsatellite instability) and MSS (microsatellite stability) colon cancers.","DESCRIPTION_FULL":"Promoter methylation of the mismatch repair gene plays a key role in sporadic microsatellite instability (MSI) colorectal cancers. However, promoter methylation often occurs in proximal colon cancers, and molecular phenotypes underlying MSI cancers in distal colon have not been fully clarified. Our goal was to clarify the difference between MSI and microsatellite stability (MSS) cancers and, furthermore, to determine distinct characteristics of proximal and distal MSI cancers. By DNA microarray analysis of 84 cancers (33 MSI and 51 MSS), we identified discriminating genes (177 probe sets), which predicted MSI status with a high accuracy rate (97.6%). These genes were related to phenotypic characteristics of MSI cancers. Next, we identified 24 probe sets that were differentially expressed in proximal and distal MSI cancers. These genes included promoter methylation-mediated genes, whose expression was significantly down-regulated in proximal MSI cancers. Among discriminating genes between MSI and MSS, nine methylation-mediated genes showed down-regulation in MSI cancers. Of these, 7 (77.8%) showed down-regulation in proximal MSI cancers. Furthermore, methylation-specific PCR confirmed that frequency of hMLH1 promoter methylation was significantly higher in proximal MSI cancers (P = 0.0317). These results suggested that there is a difference between proximal and distal MSI cancers in methylation-mediated influence on gene silencing. In conclusion, using DNA microarray, we could distinguish MSI and MSS cancers. We also showed distinct characteristics of proximal and distal MSI cancers. The inactivation form of hMLH, per se, differed between proximal and distal MSI cancers. These results suggested that distal MSI cancers constitute a distinct subgroup of sporadic MSI cancers."}
{"STANDARD_NAME":"WATANABE_COLON_CANCER_MSI_VS_MSS_DN","SYSTEMATIC_NAME":"M8976","ORGANISM":"Homo sapiens","PMID":"17047040","AUTHORS":"Watanabe T,Kobunai T,Toda E,Yamamoto Y,Kanazawa T,Kazama Y,Tanaka J,Tanaka T,Konishi T,Okayama Y,Sugimoto Y,Oka T,Sasaki S,Muto T,Nagawa H","GEOID":"GSE4554","EXACT_SOURCE":"Table 2S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated genes discriminating between MSI (microsatellite instability) and MSS (microsatellite stability) colon cancers.","DESCRIPTION_FULL":"Promoter methylation of the mismatch repair gene plays a key role in sporadic microsatellite instability (MSI) colorectal cancers. However, promoter methylation often occurs in proximal colon cancers, and molecular phenotypes underlying MSI cancers in distal colon have not been fully clarified. Our goal was to clarify the difference between MSI and microsatellite stability (MSS) cancers and, furthermore, to determine distinct characteristics of proximal and distal MSI cancers. By DNA microarray analysis of 84 cancers (33 MSI and 51 MSS), we identified discriminating genes (177 probe sets), which predicted MSI status with a high accuracy rate (97.6%). These genes were related to phenotypic characteristics of MSI cancers. Next, we identified 24 probe sets that were differentially expressed in proximal and distal MSI cancers. These genes included promoter methylation-mediated genes, whose expression was significantly down-regulated in proximal MSI cancers. Among discriminating genes between MSI and MSS, nine methylation-mediated genes showed down-regulation in MSI cancers. Of these, 7 (77.8%) showed down-regulation in proximal MSI cancers. Furthermore, methylation-specific PCR confirmed that frequency of hMLH1 promoter methylation was significantly higher in proximal MSI cancers (P = 0.0317). These results suggested that there is a difference between proximal and distal MSI cancers in methylation-mediated influence on gene silencing. In conclusion, using DNA microarray, we could distinguish MSI and MSS cancers. We also showed distinct characteristics of proximal and distal MSI cancers. The inactivation form of hMLH, per se, differed between proximal and distal MSI cancers. These results suggested that distal MSI cancers constitute a distinct subgroup of sporadic MSI cancers."}
{"STANDARD_NAME":"KOBAYASHI_EGFR_SIGNALING_6HR_UP","SYSTEMATIC_NAME":"M7331","ORGANISM":"Homo sapiens","PMID":"17145885","AUTHORS":"Kobayashi S,Shimamura T,Monti S,Steidl U,Hetherington CJ,Lowell AM,Golub T,Meyerson M,Tenen DG,Shapiro GI,Halmos B","EXACT_SOURCE":"Table 1: Up-regulated genes","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in H1975 cells (non-small cell lung cancer, NSCLC) resistant to gefitinib [PubChem=123631] after treatment with EGFR inhibitor CL-387785 [PubChem=2776] for 6h.","DESCRIPTION_FULL":"Activating mutations in the epidermal growth factor receptor (EGFR) tyrosine kinase domain determine responsiveness to EGFR tyrosine kinase inhibitors in patients with advanced non-small cell lung cancer (NSCLC). The modulation of transcriptional pathways by mutant EGFR signaling is not fully understood. Previously, we and others identified a single base pair change leading to a threonine to methionine (T790M) amino acid alteration in the ATP-binding pocket of the EGFR as a common mechanism of acquired resistance. The gefitinib-resistant, T790M-mutant H1975 NSCLC cell line undergoes prominent growth arrest and apoptosis when treated with the irreversible EGFR inhibitor, CL-387,785. We did a transcriptional profiling study of mutant EGFR target genes that are differentially expressed in the resistant gefitinib-treated and the sensitive CL387,785-treated H1975 cells to identify the pivotal transcriptional changes in NSCLC with EGFR-activating mutations. We identified a small subset of early gene changes, including significant reduction of cyclin D1 as a result of EGFR inhibition by CL-387,785 but not by gefitinib. The reduction in cyclin D1 transcription was associated with subsequent suppression of E2F-responsive genes, consistent with proliferation arrest. Furthermore, cyclin D1 expression was higher in EGFR-mutant lung cancer cells compared with cells with wild-type EGFR. EGFR-mutant cells were routinely sensitive to the cyclin-dependent kinase inhibitor flavopiridol, confirming the functional relevance of the cyclin D axis. These studies suggest that cyclin D1 may contribute to the emergence of EGFR-driven tumorigenesis and can be an alternative target of therapy."}
{"STANDARD_NAME":"SOTIRIOU_BREAST_CANCER_GRADE_1_VS_3_DN","SYSTEMATIC_NAME":"M8077","ORGANISM":"Homo sapiens","PMID":"16478745","AUTHORS":"Sotiriou C,Wirapati P,Loi S,Harris A,Fox S,Smeds J,Nordgren H,Farmer P,Praz V,Haibe-Kains B,Desmedt C,Larsimont D,Cardoso F,Peterse H,Nuyten D,Buyse M,Van de Vijver MJ,Bergh J,Piccart M,Delorenzi M","GEOID":"GSE2990","EXACT_SOURCE":"Table 1S: d-stat < 0","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated genes whose expression correlated with histologic grade of invasive breast cancer tumors: comparison of grade 1 vs grade 3.","DESCRIPTION_FULL":"BACKGROUND: Histologic grade in breast cancer provides clinically important prognostic information. However, 30%-60% of tumors are classified as histologic grade 2. This grade is associated with an intermediate risk of recurrence and is thus not informative for clinical decision making. We examined whether histologic grade was associated with gene expression profiles of breast cancers and whether such profiles could be used to improve histologic grading. METHODS: We analyzed microarray data from 189 invasive breast carcinomas and from three published gene expression datasets from breast carcinomas. We identified differentially expressed genes in a training set of 64 estrogen receptor (ER)-positive tumor samples by comparing expression profiles between histologic grade 3 tumors and histologic grade 1 tumors and used the expression of these genes to define the gene expression grade index. Data from 597 independent tumors were used to evaluate the association between relapse-free survival and the gene expression grade index in a Kaplan-Meier analysis. All statistical tests were two-sided. RESULTS: We identified 97 genes in our training set that were associated with histologic grade; most of these genes were involved in cell cycle regulation and proliferation. In validation datasets, the gene expression grade index was strongly associated with histologic grade 1 and 3 status; however, among histologic grade 2 tumors, the index spanned the values for histologic grade 1-3 tumors. Among patients with histologic grade 2 tumors, a high gene expression grade index was associated with a higher risk of recurrence than a low gene expression grade index (hazard ratio = 3.61, 95% confidence interval = 2.25 to 5.78; P < .001, log-rank test). CONCLUSIONS: Gene expression grade index appeared to reclassify patients with histologic grade 2 tumors into two groups with high versus low risks of recurrence. This approach may improve the accuracy of tumor grading and thus its prognostic value."}
{"STANDARD_NAME":"GAZDA_DIAMOND_BLACKFAN_ANEMIA_MYELOID_UP","SYSTEMATIC_NAME":"M19107","ORGANISM":"Homo sapiens","PMID":"16741228","AUTHORS":"Gazda HT,Kho AT,Sanoudou D,Zaucha JM,Kohane IS,Sieff CA,Beggs AH","EXACT_SOURCE":"Table 1S: M population: f.ch.>0","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in myeloid progenitor cells isolated from bone marrow of patients with Diamond-Blackfan anemia (DBA) and mutated RPS19 [GeneID=6223].","DESCRIPTION_FULL":"Diamond-Blackfan anemia (DBA) is a broad developmental disease characterized by anemia, bone marrow (BM) erythroblastopenia, and an increased incidence of malignancy. Mutations in ribosomal protein gene S19 (RPS19) are found in approximately 25% of DBA patients; however, the role of RPS19 in the pathogenesis of DBA remains unknown. Using global gene expression analysis, we compared highly purified multipotential, erythroid, and myeloid BM progenitors from RPS19 mutated and control individuals. We found several ribosomal protein genes downregulated in all DBA progenitors. Apoptosis genes, such as TNFRSF10B and FAS, transcriptional control genes, including the erythropoietic transcription factor MYB (encoding c-myb), and translational genes were greatly dysregulated, mostly in diseased erythroid cells. Cancer-related genes, including RAS family oncogenes and tumor suppressor genes, were significantly dysregulated in all diseased progenitors. In addition, our results provide evidence that RPS19 mutations lead to codownregulation of multiple ribosomal protein genes, as well as downregulation of genes involved in translation in DBA cells. In conclusion, the altered expression of cancer-related genes suggests a molecular basis for malignancy in DBA. Downregulation of c-myb expression, which causes complete failure of fetal liver erythropoiesis in knockout mice, suggests a link between RPS19 mutations and reduced erythropoiesis in DBA."}
{"STANDARD_NAME":"GAZDA_DIAMOND_BLACKFAN_ANEMIA_MYELOID_DN","SYSTEMATIC_NAME":"M6979","ORGANISM":"Homo sapiens","PMID":"16741228","AUTHORS":"Gazda HT,Kho AT,Sanoudou D,Zaucha JM,Kohane IS,Sieff CA,Beggs AH","EXACT_SOURCE":"Table 1S: M population: f.ch.<0","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in myeloid progenitor cells isolated from bone marrow of patients with Diamond-Blackfan anemia (DBA) and mutated RPS19 [GeneID=6223].","DESCRIPTION_FULL":"Diamond-Blackfan anemia (DBA) is a broad developmental disease characterized by anemia, bone marrow (BM) erythroblastopenia, and an increased incidence of malignancy. Mutations in ribosomal protein gene S19 (RPS19) are found in approximately 25% of DBA patients; however, the role of RPS19 in the pathogenesis of DBA remains unknown. Using global gene expression analysis, we compared highly purified multipotential, erythroid, and myeloid BM progenitors from RPS19 mutated and control individuals. We found several ribosomal protein genes downregulated in all DBA progenitors. Apoptosis genes, such as TNFRSF10B and FAS, transcriptional control genes, including the erythropoietic transcription factor MYB (encoding c-myb), and translational genes were greatly dysregulated, mostly in diseased erythroid cells. Cancer-related genes, including RAS family oncogenes and tumor suppressor genes, were significantly dysregulated in all diseased progenitors. In addition, our results provide evidence that RPS19 mutations lead to codownregulation of multiple ribosomal protein genes, as well as downregulation of genes involved in translation in DBA cells. In conclusion, the altered expression of cancer-related genes suggests a molecular basis for malignancy in DBA. Downregulation of c-myb expression, which causes complete failure of fetal liver erythropoiesis in knockout mice, suggests a link between RPS19 mutations and reduced erythropoiesis in DBA."}
{"STANDARD_NAME":"GAZDA_DIAMOND_BLACKFAN_ANEMIA_PROGENITOR_UP","SYSTEMATIC_NAME":"M6984","ORGANISM":"Homo sapiens","PMID":"16741228","AUTHORS":"Gazda HT,Kho AT,Sanoudou D,Zaucha JM,Kohane IS,Sieff CA,Beggs AH","EXACT_SOURCE":"Table 1S: P population: f.ch.>0","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in common hematopoietic progenitor cells isolated from bone marrow of patients with Diamond-Blackfan anemia (DBA) and mutated RPS19 [GeneID=6223].","DESCRIPTION_FULL":"Diamond-Blackfan anemia (DBA) is a broad developmental disease characterized by anemia, bone marrow (BM) erythroblastopenia, and an increased incidence of malignancy. Mutations in ribosomal protein gene S19 (RPS19) are found in approximately 25% of DBA patients; however, the role of RPS19 in the pathogenesis of DBA remains unknown. Using global gene expression analysis, we compared highly purified multipotential, erythroid, and myeloid BM progenitors from RPS19 mutated and control individuals. We found several ribosomal protein genes downregulated in all DBA progenitors. Apoptosis genes, such as TNFRSF10B and FAS, transcriptional control genes, including the erythropoietic transcription factor MYB (encoding c-myb), and translational genes were greatly dysregulated, mostly in diseased erythroid cells. Cancer-related genes, including RAS family oncogenes and tumor suppressor genes, were significantly dysregulated in all diseased progenitors. In addition, our results provide evidence that RPS19 mutations lead to codownregulation of multiple ribosomal protein genes, as well as downregulation of genes involved in translation in DBA cells. In conclusion, the altered expression of cancer-related genes suggests a molecular basis for malignancy in DBA. Downregulation of c-myb expression, which causes complete failure of fetal liver erythropoiesis in knockout mice, suggests a link between RPS19 mutations and reduced erythropoiesis in DBA."}
{"STANDARD_NAME":"GAZDA_DIAMOND_BLACKFAN_ANEMIA_PROGENITOR_DN","SYSTEMATIC_NAME":"M12812","ORGANISM":"Homo sapiens","PMID":"16741228","AUTHORS":"Gazda HT,Kho AT,Sanoudou D,Zaucha JM,Kohane IS,Sieff CA,Beggs AH","EXACT_SOURCE":"Table 1S: P population: f.ch.<0","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in common hematopoietic progenitor cells isolated from bone marrow of patients with Diamond-Blackfan anemia (DBA) and mutated RPS19 [GeneID=6223].","DESCRIPTION_FULL":"Diamond-Blackfan anemia (DBA) is a broad developmental disease characterized by anemia, bone marrow (BM) erythroblastopenia, and an increased incidence of malignancy. Mutations in ribosomal protein gene S19 (RPS19) are found in approximately 25% of DBA patients; however, the role of RPS19 in the pathogenesis of DBA remains unknown. Using global gene expression analysis, we compared highly purified multipotential, erythroid, and myeloid BM progenitors from RPS19 mutated and control individuals. We found several ribosomal protein genes downregulated in all DBA progenitors. Apoptosis genes, such as TNFRSF10B and FAS, transcriptional control genes, including the erythropoietic transcription factor MYB (encoding c-myb), and translational genes were greatly dysregulated, mostly in diseased erythroid cells. Cancer-related genes, including RAS family oncogenes and tumor suppressor genes, were significantly dysregulated in all diseased progenitors. In addition, our results provide evidence that RPS19 mutations lead to codownregulation of multiple ribosomal protein genes, as well as downregulation of genes involved in translation in DBA cells. In conclusion, the altered expression of cancer-related genes suggests a molecular basis for malignancy in DBA. Downregulation of c-myb expression, which causes complete failure of fetal liver erythropoiesis in knockout mice, suggests a link between RPS19 mutations and reduced erythropoiesis in DBA."}
{"STANDARD_NAME":"IGARASHI_ATF4_TARGETS_UP","SYSTEMATIC_NAME":"M10762","ORGANISM":"Homo sapiens","PMID":"17297441","AUTHORS":"Igarashi T,Izumi H,Uchiumi T,Nishio K,Arao T,Tanabe M,Uramoto H,Sugio K,Yasumoto K,Sasaguri Y,Wang KY,Otsuji Y,Kohno K","EXACT_SOURCE":"Suppl. info: fold change > 1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in A549 cells (lung cancer) after knockdown of ATF4 [GeneID=468] by RNAi.","DESCRIPTION_FULL":"The mechanisms underlying cellular drug resistance have been extensively studied, but little is known about its regulation. We have previously reported that activating transcription factor 4 (ATF4) is upregulated in cisplatin-resistant cells and plays a role in cisplatin resistance. Here, we find out a novel relationship between the circadian transcription factor Clock and drug resistance. Clock drives the periodical expression of many genes that regulate hormone release, cell division, sleep-awake cycle and tumor growth. We demonstrate that ATF4 is a direct target of Clock, and that Clock is overexpressed in cisplatin-resistant cells. Furthermore, Clock expression significantly correlates with cisplatin sensitivity, and that the downregulation of either Clock or ATF4 confers sensitivity of A549 cells to cisplatin and etoposide. Notably, ATF4-overexpressing cells show multidrug resistance and marked elevation of intracellular glutathione. The microarray study reveals that genes for glutathione metabolism are generally downregulated by the knockdown of ATF4 expression. These results suggest that the Clock and ATF4 transcription system might play an important role in multidrug resistance through glutathione-dependent redox system, and also indicate that physiological potentials of Clock-controlled redox system might be important to better understand the oxidative stress-associated disorders including cancer and systemic chronotherapy."}
{"STANDARD_NAME":"IGARASHI_ATF4_TARGETS_DN","SYSTEMATIC_NAME":"M4779","ORGANISM":"Homo sapiens","PMID":"17297441","AUTHORS":"Igarashi T,Izumi H,Uchiumi T,Nishio K,Arao T,Tanabe M,Uramoto H,Sugio K,Yasumoto K,Sasaguri Y,Wang KY,Otsuji Y,Kohno K","EXACT_SOURCE":"Suppl. info: fold change < 1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in A549 cells (lung cancer) after knockdown of ATF4 [GeneID=468] by RNAi.","DESCRIPTION_FULL":"The mechanisms underlying cellular drug resistance have been extensively studied, but little is known about its regulation. We have previously reported that activating transcription factor 4 (ATF4) is upregulated in cisplatin-resistant cells and plays a role in cisplatin resistance. Here, we find out a novel relationship between the circadian transcription factor Clock and drug resistance. Clock drives the periodical expression of many genes that regulate hormone release, cell division, sleep-awake cycle and tumor growth. We demonstrate that ATF4 is a direct target of Clock, and that Clock is overexpressed in cisplatin-resistant cells. Furthermore, Clock expression significantly correlates with cisplatin sensitivity, and that the downregulation of either Clock or ATF4 confers sensitivity of A549 cells to cisplatin and etoposide. Notably, ATF4-overexpressing cells show multidrug resistance and marked elevation of intracellular glutathione. The microarray study reveals that genes for glutathione metabolism are generally downregulated by the knockdown of ATF4 expression. These results suggest that the Clock and ATF4 transcription system might play an important role in multidrug resistance through glutathione-dependent redox system, and also indicate that physiological potentials of Clock-controlled redox system might be important to better understand the oxidative stress-associated disorders including cancer and systemic chronotherapy."}
{"STANDARD_NAME":"ZHONG_RESPONSE_TO_AZACITIDINE_AND_TSA_DN","SYSTEMATIC_NAME":"M3988","ORGANISM":"Homo sapiens","PMID":"17043644","AUTHORS":"Zhong S,Fields CR,Su N,Pan YX,Robertson KD","EXACT_SOURCE":"Table S1: Fold change < 1 (green)","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in 3 out of 4 NSCLC cell lines (non-small cell lung cancer) after treatment with azacitidine [PubChem=9444] and TSA [PubChem=5562].","DESCRIPTION_FULL":"Lung cancer is the leading cause of cancer-related deaths in the United States due, in large part, to the lack of early detection methods. Lung cancer arises from a complex series of genetic and epigenetic changes leading to uncontrolled cell growth and metastasis. Unlike genetic changes, epigenetic changes, such as DNA methylation and histone acetylation, are reversible with currently available pharmaceuticals and are early events in lung tumorigenesis detectable by non-invasive methods. In order to better understand how epigenetic changes contribute to lung cancer, and to identify new disease biomarkers, we combined pharmacologic inhibition of DNA methylation and histone deacetylation in non-small cell lung cancer (NSCLC) cell lines, with genome-wide expression profiling. Of the more than 200 genes upregulated by these treatments, three of these, neuronatin, metallothionein 3 and cystatin E/M, were frequently hypermethylated and transcriptionally downregulated in NSCLC cell lines and tumors. Interestingly, four other genes, cylindromatosis, CD9, activating transcription factor 3 and oxytocin receptor, were dominantly regulated by histone deacetylation and were also frequently downregulated in lung tumors. The majority of these genes also suppressed NSCLC growth in culture when ectopically expressed. This study therefore reveals new putative NSCLC growth regulatory genes and epigenetic disease biomarkers that may enhance early detection strategies and serve as therapeutic targets."}
{"STANDARD_NAME":"DAVICIONI_MOLECULAR_ARMS_VS_ERMS_UP","SYSTEMATIC_NAME":"M2012","ORGANISM":"Homo sapiens","PMID":"16849537","AUTHORS":"Davicioni E,Finckenstein FG,Shahbazian V,Buckley JD,Triche TJ,Anderson MJ","EXACT_SOURCE":"Table 2S: Mean Fold-Difference > 0","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in mARMS (molecular ARMS) compared to the mERMS (molecular ERMS) class of rhabdomyosarcoma tumors.","DESCRIPTION_FULL":"Alveolar rhabdomyosarcomas (ARMS) are aggressive soft-tissue sarcomas affecting children and young adults. Most ARMS tumors express the PAX3-FKHR or PAX7-FKHR (PAX-FKHR) fusion genes resulting from the t(2;13) or t(1;13) chromosomal translocations, respectively. However, up to 25% of ARMS tumors are fusion negative, making it unclear whether ARMS represent a single disease or multiple clinical and biological entities with a common phenotype. To test to what extent PAX-FKHR determine class and behavior of ARMS, we used oligonucleotide microarray expression profiling on 139 primary rhabdomyosarcoma tumors and an in vitro model. We found that ARMS tumors expressing either PAX-FKHR gene share a common expression profile distinct from fusion-negative ARMS and from the other rhabdomyosarcoma variants. We also observed that PAX-FKHR expression above a minimum level is necessary for the detection of this expression profile. Using an ectopic PAX3-FKHR and PAX7-FKHR expression model, we identified an expression signature regulated by PAX-FKHR that is specific to PAX-FKHR-positive ARMS tumors. Data mining for functional annotations of signature genes suggested a role for PAX-FKHR in regulating ARMS proliferation and differentiation. Cox regression modeling identified a subset of genes within the PAX-FKHR expression signature that segregated ARMS patients into three risk groups with 5-year overall survival estimates of 7%, 48%, and 93%. These prognostic classes were independent of conventional clinical risk factors. Our results show that PAX-FKHR dictate a specific expression signature that helps define the molecular phenotype of PAX-FKHR-positive ARMS tumors and, because it is linked with disease outcome in ARMS patients, determine tumor behavior."}
{"STANDARD_NAME":"DAVICIONI_TARGETS_OF_PAX_FOXO1_FUSIONS_UP","SYSTEMATIC_NAME":"M4680","ORGANISM":"Homo sapiens","PMID":"16849537","AUTHORS":"Davicioni E,Finckenstein FG,Shahbazian V,Buckley JD,Triche TJ,Anderson MJ","EXACT_SOURCE":"Table 3S: Mean Fold-Difference > 0","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in RD cells (embryonal rhabdomyosarcoma, ERMS) by expression of PAX3- or PAX7-FOXO1 [GeneID=5077;5081;2308] fusions off retroviral vectors.","DESCRIPTION_FULL":"Alveolar rhabdomyosarcomas (ARMS) are aggressive soft-tissue sarcomas affecting children and young adults. Most ARMS tumors express the PAX3-FKHR or PAX7-FKHR (PAX-FKHR) fusion genes resulting from the t(2;13) or t(1;13) chromosomal translocations, respectively. However, up to 25% of ARMS tumors are fusion negative, making it unclear whether ARMS represent a single disease or multiple clinical and biological entities with a common phenotype. To test to what extent PAX-FKHR determine class and behavior of ARMS, we used oligonucleotide microarray expression profiling on 139 primary rhabdomyosarcoma tumors and an in vitro model. We found that ARMS tumors expressing either PAX-FKHR gene share a common expression profile distinct from fusion-negative ARMS and from the other rhabdomyosarcoma variants. We also observed that PAX-FKHR expression above a minimum level is necessary for the detection of this expression profile. Using an ectopic PAX3-FKHR and PAX7-FKHR expression model, we identified an expression signature regulated by PAX-FKHR that is specific to PAX-FKHR-positive ARMS tumors. Data mining for functional annotations of signature genes suggested a role for PAX-FKHR in regulating ARMS proliferation and differentiation. Cox regression modeling identified a subset of genes within the PAX-FKHR expression signature that segregated ARMS patients into three risk groups with 5-year overall survival estimates of 7%, 48%, and 93%. These prognostic classes were independent of conventional clinical risk factors. Our results show that PAX-FKHR dictate a specific expression signature that helps define the molecular phenotype of PAX-FKHR-positive ARMS tumors and, because it is linked with disease outcome in ARMS patients, determine tumor behavior."}
{"STANDARD_NAME":"DAVICIONI_TARGETS_OF_PAX_FOXO1_FUSIONS_DN","SYSTEMATIC_NAME":"M4001","ORGANISM":"Homo sapiens","PMID":"16849537","AUTHORS":"Davicioni E,Finckenstein FG,Shahbazian V,Buckley JD,Triche TJ,Anderson MJ","EXACT_SOURCE":"Table 3S: Mean Fold-Difference < 0","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in RD cells (embryonal rhabdomyosarcoma, ERMS) by expression of PAX3- or PAX7-FOXO1 [GeneID=5077;5081;2308] fusions off retroviral vectors.","DESCRIPTION_FULL":"Alveolar rhabdomyosarcomas (ARMS) are aggressive soft-tissue sarcomas affecting children and young adults. Most ARMS tumors express the PAX3-FKHR or PAX7-FKHR (PAX-FKHR) fusion genes resulting from the t(2;13) or t(1;13) chromosomal translocations, respectively. However, up to 25% of ARMS tumors are fusion negative, making it unclear whether ARMS represent a single disease or multiple clinical and biological entities with a common phenotype. To test to what extent PAX-FKHR determine class and behavior of ARMS, we used oligonucleotide microarray expression profiling on 139 primary rhabdomyosarcoma tumors and an in vitro model. We found that ARMS tumors expressing either PAX-FKHR gene share a common expression profile distinct from fusion-negative ARMS and from the other rhabdomyosarcoma variants. We also observed that PAX-FKHR expression above a minimum level is necessary for the detection of this expression profile. Using an ectopic PAX3-FKHR and PAX7-FKHR expression model, we identified an expression signature regulated by PAX-FKHR that is specific to PAX-FKHR-positive ARMS tumors. Data mining for functional annotations of signature genes suggested a role for PAX-FKHR in regulating ARMS proliferation and differentiation. Cox regression modeling identified a subset of genes within the PAX-FKHR expression signature that segregated ARMS patients into three risk groups with 5-year overall survival estimates of 7%, 48%, and 93%. These prognostic classes were independent of conventional clinical risk factors. Our results show that PAX-FKHR dictate a specific expression signature that helps define the molecular phenotype of PAX-FKHR-positive ARMS tumors and, because it is linked with disease outcome in ARMS patients, determine tumor behavior."}
{"STANDARD_NAME":"DAVICIONI_RHABDOMYOSARCOMA_PAX_FOXO1_FUSION_UP","SYSTEMATIC_NAME":"M12362","ORGANISM":"Homo sapiens","PMID":"16849537","AUTHORS":"Davicioni E,Finckenstein FG,Shahbazian V,Buckley JD,Triche TJ,Anderson MJ","EXACT_SOURCE":"Table 4S: Mean Fold-Difference > 0","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in RMS cells (rhabdomyosarcoma) expressing PAX3 or PAX7 fusions with FOXO1 [GeneID=5077;5081;2308] compared to the fusion negative cell lines.","DESCRIPTION_FULL":"Alveolar rhabdomyosarcomas (ARMS) are aggressive soft-tissue sarcomas affecting children and young adults. Most ARMS tumors express the PAX3-FKHR or PAX7-FKHR (PAX-FKHR) fusion genes resulting from the t(2;13) or t(1;13) chromosomal translocations, respectively. However, up to 25% of ARMS tumors are fusion negative, making it unclear whether ARMS represent a single disease or multiple clinical and biological entities with a common phenotype. To test to what extent PAX-FKHR determine class and behavior of ARMS, we used oligonucleotide microarray expression profiling on 139 primary rhabdomyosarcoma tumors and an in vitro model. We found that ARMS tumors expressing either PAX-FKHR gene share a common expression profile distinct from fusion-negative ARMS and from the other rhabdomyosarcoma variants. We also observed that PAX-FKHR expression above a minimum level is necessary for the detection of this expression profile. Using an ectopic PAX3-FKHR and PAX7-FKHR expression model, we identified an expression signature regulated by PAX-FKHR that is specific to PAX-FKHR-positive ARMS tumors. Data mining for functional annotations of signature genes suggested a role for PAX-FKHR in regulating ARMS proliferation and differentiation. Cox regression modeling identified a subset of genes within the PAX-FKHR expression signature that segregated ARMS patients into three risk groups with 5-year overall survival estimates of 7%, 48%, and 93%. These prognostic classes were independent of conventional clinical risk factors. Our results show that PAX-FKHR dictate a specific expression signature that helps define the molecular phenotype of PAX-FKHR-positive ARMS tumors and, because it is linked with disease outcome in ARMS patients, determine tumor behavior."}
{"STANDARD_NAME":"DAVICIONI_RHABDOMYOSARCOMA_PAX_FOXO1_FUSION_DN","SYSTEMATIC_NAME":"M1614","ORGANISM":"Homo sapiens","PMID":"16849537","AUTHORS":"Davicioni E,Finckenstein FG,Shahbazian V,Buckley JD,Triche TJ,Anderson MJ","EXACT_SOURCE":"Table 4S: Mean Fold-Difference < 0","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in RMS cells (rhabdomyosarcoma) expressing PAX3 or PAX7 fusions with FOXO1 [GeneID=5077;5081;2308] compared to the fusion negative cell lines.","DESCRIPTION_FULL":"Alveolar rhabdomyosarcomas (ARMS) are aggressive soft-tissue sarcomas affecting children and young adults. Most ARMS tumors express the PAX3-FKHR or PAX7-FKHR (PAX-FKHR) fusion genes resulting from the t(2;13) or t(1;13) chromosomal translocations, respectively. However, up to 25% of ARMS tumors are fusion negative, making it unclear whether ARMS represent a single disease or multiple clinical and biological entities with a common phenotype. To test to what extent PAX-FKHR determine class and behavior of ARMS, we used oligonucleotide microarray expression profiling on 139 primary rhabdomyosarcoma tumors and an in vitro model. We found that ARMS tumors expressing either PAX-FKHR gene share a common expression profile distinct from fusion-negative ARMS and from the other rhabdomyosarcoma variants. We also observed that PAX-FKHR expression above a minimum level is necessary for the detection of this expression profile. Using an ectopic PAX3-FKHR and PAX7-FKHR expression model, we identified an expression signature regulated by PAX-FKHR that is specific to PAX-FKHR-positive ARMS tumors. Data mining for functional annotations of signature genes suggested a role for PAX-FKHR in regulating ARMS proliferation and differentiation. Cox regression modeling identified a subset of genes within the PAX-FKHR expression signature that segregated ARMS patients into three risk groups with 5-year overall survival estimates of 7%, 48%, and 93%. These prognostic classes were independent of conventional clinical risk factors. Our results show that PAX-FKHR dictate a specific expression signature that helps define the molecular phenotype of PAX-FKHR-positive ARMS tumors and, because it is linked with disease outcome in ARMS patients, determine tumor behavior."}
{"STANDARD_NAME":"SENGUPTA_NASOPHARYNGEAL_CARCINOMA_WITH_LMP1_DN","SYSTEMATIC_NAME":"M6750","ORGANISM":"Homo sapiens","PMID":"16912175","AUTHORS":"Sengupta S,den Boon JA,Chen IH,Newton MA,Dahl DB,Chen M,Cheng YJ,Westra WH,Chen CJ,Hildesheim A,Sugden B,Ahlquist P","GEOID":"GSE12452","EXACT_SOURCE":"Table 9S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in nasopharyngeal carcinoma (NPC) positive for LMP1 [GeneID=9260], a latent gene of Epstein-Barr virus (EBV).","DESCRIPTION_FULL":"To identify the molecular mechanisms by which EBV-associated epithelial cancers are maintained, we measured the expression of essentially all human genes and all latent EBV genes in a collection of 31 laser-captured, microdissected nasopharyngeal carcinoma (NPC) tissue samples and 10 normal nasopharyngeal tissues. Global gene expression profiles clearly distinguished tumors from normal healthy epithelium. Expression levels of six viral genes (EBNA1, EBNA2, EBNA3A, EBNA3B, LMP1, and LMP2A) were correlated among themselves and strongly inversely correlated with the expression of a large subset of host genes. Among the human genes whose inhibition was most strongly correlated with increased EBV gene expression were multiple MHC class I HLA genes involved in regulating immune response via antigen presentation. The association between EBV gene expression and inhibition of MHC class I HLA expression implies that antigen display is either directly inhibited by EBV, facilitating immune evasion by tumor cells, and/or that tumor cells with inhibited presentation are selected for their ability to sustain higher levels of EBV to take maximum advantage of EBV oncogene-mediated tumor-promoting actions. Our data clearly reflect such tumor promotion, showing that deregulation of key proteins involved in apoptosis (BCL2-related protein A1 and Fas apoptotic inhibitory molecule), cell cycle checkpoints (AKIP, SCYL1, and NIN), and metastasis (matrix metalloproteinase 1) is closely correlated with the levels of EBV gene expression in NPC."}
{"STANDARD_NAME":"TURASHVILI_BREAST_NORMAL_DUCTAL_VS_LOBULAR_UP","SYSTEMATIC_NAME":"M2204","ORGANISM":"Homo sapiens","PMID":"17389037","AUTHORS":"Turashvili G,Bouchal J,Baumforth K,Wei W,Dziechciarkova M,Ehrmann J,Klein J,Fridman E,Skarda J,Srovnal J,Hajduch M,Murray P,Kolar Z","GEOID":"GSE5764","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in normal ductal and normal lobular breast cells.","DESCRIPTION_FULL":"BACKGROUND: Invasive ductal and lobular carcinomas (IDC and ILC) are the most common histological types of breast cancer. Clinical follow-up data and metastatic patterns suggest that the development and progression of these tumors are different. The aim of our study was to identify gene expression profiles of IDC and ILC in relation to normal breast epithelial cells. METHODS: We examined 30 samples (normal ductal and lobular cells from 10 patients, IDC cells from 5 patients, ILC cells from 5 patients) microdissected from cryosections of ten mastectomy specimens from postmenopausal patients. Fifty nanograms of total RNA were amplified and labeled by PCR and in vitro transcription. Samples were analysed upon Affymetrix U133 Plus 2.0 Arrays. The expression of seven differentially expressed genes (CDH1, EMP1, DDR1, DVL1, KRT5, KRT6, KRT17) was verified by immunohistochemistry on tissue microarrays. Expression of ASPN mRNA was validated by in situ hybridization on frozen sections, and CTHRC1, ASPN and COL3A1 were tested by PCR. RESULTS: Using GCOS pairwise comparison algorithm and rank products we have identified 84 named genes common to ILC versus normal cell types, 74 named genes common to IDC versus normal cell types, 78 named genes differentially expressed between normal ductal and lobular cells, and 28 named genes between IDC and ILC. Genes distinguishing between IDC and ILC are involved in epithelial-mesenchymal transition, TGF-beta and Wnt signaling. These changes were present in both tumor types but appeared to be more prominent in ILC. Immunohistochemistry for several novel markers (EMP1, DVL1, DDR1) distinguished large sets of IDC from ILC. CONCLUSION: IDC and ILC can be differentiated both at the gene and protein levels. In this study we report two candidate genes, asporin (ASPN) and collagen triple helix repeat containing 1 (CTHRC1) which might be significant in breast carcinogenesis. Besides E-cadherin, the proteins validated on tissue microarrays (EMP1, DVL1, DDR1) may represent novel immunohistochemical markers helpful in distinguishing between IDC and ILC. Further studies with larger sets of patients are needed to verify the gene expression profiles of various histological types of breast cancer in order to determine molecular subclassifications, prognosis and the optimum treatment strategies."}
{"STANDARD_NAME":"TURASHVILI_BREAST_NORMAL_DUCTAL_VS_LOBULAR_DN","SYSTEMATIC_NAME":"M13172","ORGANISM":"Homo sapiens","PMID":"17389037","AUTHORS":"Turashvili G,Bouchal J,Baumforth K,Wei W,Dziechciarkova M,Ehrmann J,Klein J,Fridman E,Skarda J,Srovnal J,Hajduch M,Murray P,Kolar Z","GEOID":"GSE5764","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in normal ductal and normal lobular breast cells.","DESCRIPTION_FULL":"BACKGROUND: Invasive ductal and lobular carcinomas (IDC and ILC) are the most common histological types of breast cancer. Clinical follow-up data and metastatic patterns suggest that the development and progression of these tumors are different. The aim of our study was to identify gene expression profiles of IDC and ILC in relation to normal breast epithelial cells. METHODS: We examined 30 samples (normal ductal and lobular cells from 10 patients, IDC cells from 5 patients, ILC cells from 5 patients) microdissected from cryosections of ten mastectomy specimens from postmenopausal patients. Fifty nanograms of total RNA were amplified and labeled by PCR and in vitro transcription. Samples were analysed upon Affymetrix U133 Plus 2.0 Arrays. The expression of seven differentially expressed genes (CDH1, EMP1, DDR1, DVL1, KRT5, KRT6, KRT17) was verified by immunohistochemistry on tissue microarrays. Expression of ASPN mRNA was validated by in situ hybridization on frozen sections, and CTHRC1, ASPN and COL3A1 were tested by PCR. RESULTS: Using GCOS pairwise comparison algorithm and rank products we have identified 84 named genes common to ILC versus normal cell types, 74 named genes common to IDC versus normal cell types, 78 named genes differentially expressed between normal ductal and lobular cells, and 28 named genes between IDC and ILC. Genes distinguishing between IDC and ILC are involved in epithelial-mesenchymal transition, TGF-beta and Wnt signaling. These changes were present in both tumor types but appeared to be more prominent in ILC. Immunohistochemistry for several novel markers (EMP1, DVL1, DDR1) distinguished large sets of IDC from ILC. CONCLUSION: IDC and ILC can be differentiated both at the gene and protein levels. In this study we report two candidate genes, asporin (ASPN) and collagen triple helix repeat containing 1 (CTHRC1) which might be significant in breast carcinogenesis. Besides E-cadherin, the proteins validated on tissue microarrays (EMP1, DVL1, DDR1) may represent novel immunohistochemical markers helpful in distinguishing between IDC and ILC. Further studies with larger sets of patients are needed to verify the gene expression profiles of various histological types of breast cancer in order to determine molecular subclassifications, prognosis and the optimum treatment strategies."}
{"STANDARD_NAME":"TURASHVILI_BREAST_DUCTAL_CARCINOMA_VS_DUCTAL_NORMAL_DN","SYSTEMATIC_NAME":"M14134","ORGANISM":"Homo sapiens","PMID":"17389037","AUTHORS":"Turashvili G,Bouchal J,Baumforth K,Wei W,Dziechciarkova M,Ehrmann J,Klein J,Fridman E,Skarda J,Srovnal J,Hajduch M,Murray P,Kolar Z","GEOID":"GSE5764","EXACT_SOURCE":"Table 2S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in ductal carcinoma vs normal ductal breast cells.","DESCRIPTION_FULL":"BACKGROUND: Invasive ductal and lobular carcinomas (IDC and ILC) are the most common histological types of breast cancer. Clinical follow-up data and metastatic patterns suggest that the development and progression of these tumors are different. The aim of our study was to identify gene expression profiles of IDC and ILC in relation to normal breast epithelial cells. METHODS: We examined 30 samples (normal ductal and lobular cells from 10 patients, IDC cells from 5 patients, ILC cells from 5 patients) microdissected from cryosections of ten mastectomy specimens from postmenopausal patients. Fifty nanograms of total RNA were amplified and labeled by PCR and in vitro transcription. Samples were analysed upon Affymetrix U133 Plus 2.0 Arrays. The expression of seven differentially expressed genes (CDH1, EMP1, DDR1, DVL1, KRT5, KRT6, KRT17) was verified by immunohistochemistry on tissue microarrays. Expression of ASPN mRNA was validated by in situ hybridization on frozen sections, and CTHRC1, ASPN and COL3A1 were tested by PCR. RESULTS: Using GCOS pairwise comparison algorithm and rank products we have identified 84 named genes common to ILC versus normal cell types, 74 named genes common to IDC versus normal cell types, 78 named genes differentially expressed between normal ductal and lobular cells, and 28 named genes between IDC and ILC. Genes distinguishing between IDC and ILC are involved in epithelial-mesenchymal transition, TGF-beta and Wnt signaling. These changes were present in both tumor types but appeared to be more prominent in ILC. Immunohistochemistry for several novel markers (EMP1, DVL1, DDR1) distinguished large sets of IDC from ILC. CONCLUSION: IDC and ILC can be differentiated both at the gene and protein levels. In this study we report two candidate genes, asporin (ASPN) and collagen triple helix repeat containing 1 (CTHRC1) which might be significant in breast carcinogenesis. Besides E-cadherin, the proteins validated on tissue microarrays (EMP1, DVL1, DDR1) may represent novel immunohistochemical markers helpful in distinguishing between IDC and ILC. Further studies with larger sets of patients are needed to verify the gene expression profiles of various histological types of breast cancer in order to determine molecular subclassifications, prognosis and the optimum treatment strategies."}
{"STANDARD_NAME":"TURASHVILI_BREAST_DUCTAL_CARCINOMA_VS_LOBULAR_NORMAL_DN","SYSTEMATIC_NAME":"M5618","ORGANISM":"Homo sapiens","PMID":"17389037","AUTHORS":"Turashvili G,Bouchal J,Baumforth K,Wei W,Dziechciarkova M,Ehrmann J,Klein J,Fridman E,Skarda J,Srovnal J,Hajduch M,Murray P,Kolar Z","GEOID":"GSE5764","EXACT_SOURCE":"Table 3S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in ductal carcinoma vs normal lobular breast cells.","DESCRIPTION_FULL":"BACKGROUND: Invasive ductal and lobular carcinomas (IDC and ILC) are the most common histological types of breast cancer. Clinical follow-up data and metastatic patterns suggest that the development and progression of these tumors are different. The aim of our study was to identify gene expression profiles of IDC and ILC in relation to normal breast epithelial cells. METHODS: We examined 30 samples (normal ductal and lobular cells from 10 patients, IDC cells from 5 patients, ILC cells from 5 patients) microdissected from cryosections of ten mastectomy specimens from postmenopausal patients. Fifty nanograms of total RNA were amplified and labeled by PCR and in vitro transcription. Samples were analysed upon Affymetrix U133 Plus 2.0 Arrays. The expression of seven differentially expressed genes (CDH1, EMP1, DDR1, DVL1, KRT5, KRT6, KRT17) was verified by immunohistochemistry on tissue microarrays. Expression of ASPN mRNA was validated by in situ hybridization on frozen sections, and CTHRC1, ASPN and COL3A1 were tested by PCR. RESULTS: Using GCOS pairwise comparison algorithm and rank products we have identified 84 named genes common to ILC versus normal cell types, 74 named genes common to IDC versus normal cell types, 78 named genes differentially expressed between normal ductal and lobular cells, and 28 named genes between IDC and ILC. Genes distinguishing between IDC and ILC are involved in epithelial-mesenchymal transition, TGF-beta and Wnt signaling. These changes were present in both tumor types but appeared to be more prominent in ILC. Immunohistochemistry for several novel markers (EMP1, DVL1, DDR1) distinguished large sets of IDC from ILC. CONCLUSION: IDC and ILC can be differentiated both at the gene and protein levels. In this study we report two candidate genes, asporin (ASPN) and collagen triple helix repeat containing 1 (CTHRC1) which might be significant in breast carcinogenesis. Besides E-cadherin, the proteins validated on tissue microarrays (EMP1, DVL1, DDR1) may represent novel immunohistochemical markers helpful in distinguishing between IDC and ILC. Further studies with larger sets of patients are needed to verify the gene expression profiles of various histological types of breast cancer in order to determine molecular subclassifications, prognosis and the optimum treatment strategies."}
{"STANDARD_NAME":"TURASHVILI_BREAST_CARCINOMA_DUCTAL_VS_LOBULAR_UP","SYSTEMATIC_NAME":"M15137","ORGANISM":"Homo sapiens","PMID":"17389037","AUTHORS":"Turashvili G,Bouchal J,Baumforth K,Wei W,Dziechciarkova M,Ehrmann J,Klein J,Fridman E,Skarda J,Srovnal J,Hajduch M,Murray P,Kolar Z","GEOID":"GSE5764","EXACT_SOURCE":"Table 4S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in ductal vs lobular carcinoma breast tumor cells.","DESCRIPTION_FULL":"BACKGROUND: Invasive ductal and lobular carcinomas (IDC and ILC) are the most common histological types of breast cancer. Clinical follow-up data and metastatic patterns suggest that the development and progression of these tumors are different. The aim of our study was to identify gene expression profiles of IDC and ILC in relation to normal breast epithelial cells. METHODS: We examined 30 samples (normal ductal and lobular cells from 10 patients, IDC cells from 5 patients, ILC cells from 5 patients) microdissected from cryosections of ten mastectomy specimens from postmenopausal patients. Fifty nanograms of total RNA were amplified and labeled by PCR and in vitro transcription. Samples were analysed upon Affymetrix U133 Plus 2.0 Arrays. The expression of seven differentially expressed genes (CDH1, EMP1, DDR1, DVL1, KRT5, KRT6, KRT17) was verified by immunohistochemistry on tissue microarrays. Expression of ASPN mRNA was validated by in situ hybridization on frozen sections, and CTHRC1, ASPN and COL3A1 were tested by PCR. RESULTS: Using GCOS pairwise comparison algorithm and rank products we have identified 84 named genes common to ILC versus normal cell types, 74 named genes common to IDC versus normal cell types, 78 named genes differentially expressed between normal ductal and lobular cells, and 28 named genes between IDC and ILC. Genes distinguishing between IDC and ILC are involved in epithelial-mesenchymal transition, TGF-beta and Wnt signaling. These changes were present in both tumor types but appeared to be more prominent in ILC. Immunohistochemistry for several novel markers (EMP1, DVL1, DDR1) distinguished large sets of IDC from ILC. CONCLUSION: IDC and ILC can be differentiated both at the gene and protein levels. In this study we report two candidate genes, asporin (ASPN) and collagen triple helix repeat containing 1 (CTHRC1) which might be significant in breast carcinogenesis. Besides E-cadherin, the proteins validated on tissue microarrays (EMP1, DVL1, DDR1) may represent novel immunohistochemical markers helpful in distinguishing between IDC and ILC. Further studies with larger sets of patients are needed to verify the gene expression profiles of various histological types of breast cancer in order to determine molecular subclassifications, prognosis and the optimum treatment strategies."}
{"STANDARD_NAME":"TURASHVILI_BREAST_CARCINOMA_DUCTAL_VS_LOBULAR_DN","SYSTEMATIC_NAME":"M12208","ORGANISM":"Homo sapiens","PMID":"17389037","AUTHORS":"Turashvili G,Bouchal J,Baumforth K,Wei W,Dziechciarkova M,Ehrmann J,Klein J,Fridman E,Skarda J,Srovnal J,Hajduch M,Murray P,Kolar Z","GEOID":"GSE5764","EXACT_SOURCE":"Table 4S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in ductal vs lobular carcinoma breast tumor cells.","DESCRIPTION_FULL":"BACKGROUND: Invasive ductal and lobular carcinomas (IDC and ILC) are the most common histological types of breast cancer. Clinical follow-up data and metastatic patterns suggest that the development and progression of these tumors are different. The aim of our study was to identify gene expression profiles of IDC and ILC in relation to normal breast epithelial cells. METHODS: We examined 30 samples (normal ductal and lobular cells from 10 patients, IDC cells from 5 patients, ILC cells from 5 patients) microdissected from cryosections of ten mastectomy specimens from postmenopausal patients. Fifty nanograms of total RNA were amplified and labeled by PCR and in vitro transcription. Samples were analysed upon Affymetrix U133 Plus 2.0 Arrays. The expression of seven differentially expressed genes (CDH1, EMP1, DDR1, DVL1, KRT5, KRT6, KRT17) was verified by immunohistochemistry on tissue microarrays. Expression of ASPN mRNA was validated by in situ hybridization on frozen sections, and CTHRC1, ASPN and COL3A1 were tested by PCR. RESULTS: Using GCOS pairwise comparison algorithm and rank products we have identified 84 named genes common to ILC versus normal cell types, 74 named genes common to IDC versus normal cell types, 78 named genes differentially expressed between normal ductal and lobular cells, and 28 named genes between IDC and ILC. Genes distinguishing between IDC and ILC are involved in epithelial-mesenchymal transition, TGF-beta and Wnt signaling. These changes were present in both tumor types but appeared to be more prominent in ILC. Immunohistochemistry for several novel markers (EMP1, DVL1, DDR1) distinguished large sets of IDC from ILC. CONCLUSION: IDC and ILC can be differentiated both at the gene and protein levels. In this study we report two candidate genes, asporin (ASPN) and collagen triple helix repeat containing 1 (CTHRC1) which might be significant in breast carcinogenesis. Besides E-cadherin, the proteins validated on tissue microarrays (EMP1, DVL1, DDR1) may represent novel immunohistochemical markers helpful in distinguishing between IDC and ILC. Further studies with larger sets of patients are needed to verify the gene expression profiles of various histological types of breast cancer in order to determine molecular subclassifications, prognosis and the optimum treatment strategies."}
{"STANDARD_NAME":"TURASHVILI_BREAST_LOBULAR_CARCINOMA_VS_DUCTAL_NORMAL_DN","SYSTEMATIC_NAME":"M3672","ORGANISM":"Homo sapiens","PMID":"17389037","AUTHORS":"Turashvili G,Bouchal J,Baumforth K,Wei W,Dziechciarkova M,Ehrmann J,Klein J,Fridman E,Skarda J,Srovnal J,Hajduch M,Murray P,Kolar Z","GEOID":"GSE5764","EXACT_SOURCE":"Table 5S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in lobular carcinoma vs normal ductal breast cells.","DESCRIPTION_FULL":"BACKGROUND: Invasive ductal and lobular carcinomas (IDC and ILC) are the most common histological types of breast cancer. Clinical follow-up data and metastatic patterns suggest that the development and progression of these tumors are different. The aim of our study was to identify gene expression profiles of IDC and ILC in relation to normal breast epithelial cells. METHODS: We examined 30 samples (normal ductal and lobular cells from 10 patients, IDC cells from 5 patients, ILC cells from 5 patients) microdissected from cryosections of ten mastectomy specimens from postmenopausal patients. Fifty nanograms of total RNA were amplified and labeled by PCR and in vitro transcription. Samples were analysed upon Affymetrix U133 Plus 2.0 Arrays. The expression of seven differentially expressed genes (CDH1, EMP1, DDR1, DVL1, KRT5, KRT6, KRT17) was verified by immunohistochemistry on tissue microarrays. Expression of ASPN mRNA was validated by in situ hybridization on frozen sections, and CTHRC1, ASPN and COL3A1 were tested by PCR. RESULTS: Using GCOS pairwise comparison algorithm and rank products we have identified 84 named genes common to ILC versus normal cell types, 74 named genes common to IDC versus normal cell types, 78 named genes differentially expressed between normal ductal and lobular cells, and 28 named genes between IDC and ILC. Genes distinguishing between IDC and ILC are involved in epithelial-mesenchymal transition, TGF-beta and Wnt signaling. These changes were present in both tumor types but appeared to be more prominent in ILC. Immunohistochemistry for several novel markers (EMP1, DVL1, DDR1) distinguished large sets of IDC from ILC. CONCLUSION: IDC and ILC can be differentiated both at the gene and protein levels. In this study we report two candidate genes, asporin (ASPN) and collagen triple helix repeat containing 1 (CTHRC1) which might be significant in breast carcinogenesis. Besides E-cadherin, the proteins validated on tissue microarrays (EMP1, DVL1, DDR1) may represent novel immunohistochemical markers helpful in distinguishing between IDC and ILC. Further studies with larger sets of patients are needed to verify the gene expression profiles of various histological types of breast cancer in order to determine molecular subclassifications, prognosis and the optimum treatment strategies."}
{"STANDARD_NAME":"TURASHVILI_BREAST_LOBULAR_CARCINOMA_VS_LOBULAR_NORMAL_UP","SYSTEMATIC_NAME":"M5549","ORGANISM":"Homo sapiens","PMID":"17389037","AUTHORS":"Turashvili G,Bouchal J,Baumforth K,Wei W,Dziechciarkova M,Ehrmann J,Klein J,Fridman E,Skarda J,Srovnal J,Hajduch M,Murray P,Kolar Z","GEOID":"GSE5764","EXACT_SOURCE":"Table 6S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in lobular carcinoma vs normal lobular breast cells.","DESCRIPTION_FULL":"BACKGROUND: Invasive ductal and lobular carcinomas (IDC and ILC) are the most common histological types of breast cancer. Clinical follow-up data and metastatic patterns suggest that the development and progression of these tumors are different. The aim of our study was to identify gene expression profiles of IDC and ILC in relation to normal breast epithelial cells. METHODS: We examined 30 samples (normal ductal and lobular cells from 10 patients, IDC cells from 5 patients, ILC cells from 5 patients) microdissected from cryosections of ten mastectomy specimens from postmenopausal patients. Fifty nanograms of total RNA were amplified and labeled by PCR and in vitro transcription. Samples were analysed upon Affymetrix U133 Plus 2.0 Arrays. The expression of seven differentially expressed genes (CDH1, EMP1, DDR1, DVL1, KRT5, KRT6, KRT17) was verified by immunohistochemistry on tissue microarrays. Expression of ASPN mRNA was validated by in situ hybridization on frozen sections, and CTHRC1, ASPN and COL3A1 were tested by PCR. RESULTS: Using GCOS pairwise comparison algorithm and rank products we have identified 84 named genes common to ILC versus normal cell types, 74 named genes common to IDC versus normal cell types, 78 named genes differentially expressed between normal ductal and lobular cells, and 28 named genes between IDC and ILC. Genes distinguishing between IDC and ILC are involved in epithelial-mesenchymal transition, TGF-beta and Wnt signaling. These changes were present in both tumor types but appeared to be more prominent in ILC. Immunohistochemistry for several novel markers (EMP1, DVL1, DDR1) distinguished large sets of IDC from ILC. CONCLUSION: IDC and ILC can be differentiated both at the gene and protein levels. In this study we report two candidate genes, asporin (ASPN) and collagen triple helix repeat containing 1 (CTHRC1) which might be significant in breast carcinogenesis. Besides E-cadherin, the proteins validated on tissue microarrays (EMP1, DVL1, DDR1) may represent novel immunohistochemical markers helpful in distinguishing between IDC and ILC. Further studies with larger sets of patients are needed to verify the gene expression profiles of various histological types of breast cancer in order to determine molecular subclassifications, prognosis and the optimum treatment strategies."}
{"STANDARD_NAME":"CHANDRAN_METASTASIS_TOP50_UP","SYSTEMATIC_NAME":"M18970","ORGANISM":"Homo sapiens","PMID":"17430594","AUTHORS":"Chandran UR,Ma C,Dhir R,Bisceglia M,Lyons-Weiler M,Liang W,Michalopoulos G,Becich M,Monzon FA","GEOID":"GSE6919","EXACT_SOURCE":"Table 2","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top 50 genes up-regulated in metastatic vs primary prostate cancer tumors.","DESCRIPTION_FULL":"BACKGROUND: Prostate cancer is characterized by heterogeneity in the clinical course that often does not correlate with morphologic features of the tumor. Metastasis reflects the most adverse outcome of prostate cancer, and to date there are no reliable morphologic features or serum biomarkers that can reliably predict which patients are at higher risk of developing metastatic disease. Understanding the differences in the biology of metastatic and organ confined primary tumors is essential for developing new prognostic markers and therapeutic targets. METHODS: Using Affymetrix oligonucleotide arrays, we analyzed gene expression profiles of 24 androgen-ablation resistant metastatic samples obtained from 4 patients and a previously published dataset of 64 primary prostate tumor samples. Differential gene expression was analyzed after removing potentially uninformative stromal genes, addressing the differences in cellular content between primary and metastatic tumors. RESULTS: The metastatic samples are highly heterogenous in expression; however, differential expression analysis shows that 415 genes are upregulated and 364 genes are downregulated at least 2 fold in every patient with metastasis. The expression profile of metastatic samples reveals changes in expression of a unique set of genes representing both the androgen ablation related pathways and other metastasis related gene networks such as cell adhesion, bone remodelling and cell cycle. The differentially expressed genes include metabolic enzymes, transcription factors such as Forkhead Box M1 (FoxM1) and cell adhesion molecules such as Osteopontin (SPP1). CONCLUSION: We hypothesize that these genes have a role in the biology of metastatic disease and that they represent potential therapeutic targets for prostate cancer."}
{"STANDARD_NAME":"CHANDRAN_METASTASIS_TOP50_DN","SYSTEMATIC_NAME":"M17043","ORGANISM":"Homo sapiens","PMID":"17430594","AUTHORS":"Chandran UR,Ma C,Dhir R,Bisceglia M,Lyons-Weiler M,Liang W,Michalopoulos G,Becich M,Monzon FA","GEOID":"GSE6919","EXACT_SOURCE":"Table 2","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top 50 genes down-regulated in metastatic vs primary prostate cancer tumors.","DESCRIPTION_FULL":"BACKGROUND: Prostate cancer is characterized by heterogeneity in the clinical course that often does not correlate with morphologic features of the tumor. Metastasis reflects the most adverse outcome of prostate cancer, and to date there are no reliable morphologic features or serum biomarkers that can reliably predict which patients are at higher risk of developing metastatic disease. Understanding the differences in the biology of metastatic and organ confined primary tumors is essential for developing new prognostic markers and therapeutic targets. METHODS: Using Affymetrix oligonucleotide arrays, we analyzed gene expression profiles of 24 androgen-ablation resistant metastatic samples obtained from 4 patients and a previously published dataset of 64 primary prostate tumor samples. Differential gene expression was analyzed after removing potentially uninformative stromal genes, addressing the differences in cellular content between primary and metastatic tumors. RESULTS: The metastatic samples are highly heterogenous in expression; however, differential expression analysis shows that 415 genes are upregulated and 364 genes are downregulated at least 2 fold in every patient with metastasis. The expression profile of metastatic samples reveals changes in expression of a unique set of genes representing both the androgen ablation related pathways and other metastasis related gene networks such as cell adhesion, bone remodelling and cell cycle. The differentially expressed genes include metabolic enzymes, transcription factors such as Forkhead Box M1 (FoxM1) and cell adhesion molecules such as Osteopontin (SPP1). CONCLUSION: We hypothesize that these genes have a role in the biology of metastatic disease and that they represent potential therapeutic targets for prostate cancer."}
{"STANDARD_NAME":"ZHOU_INFLAMMATORY_RESPONSE_LIVE_DN","SYSTEMATIC_NAME":"M14032","ORGANISM":"Homo sapiens","PMID":"18025224","AUTHORS":"Zhou Q,Amar S","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in macrophage by live P.gingivalis.","DESCRIPTION_FULL":"Porphyromonas gingivalis (P. gingivalis) can trigger an inflammatory condition leading to the destruction of periodontal tissues. However P. gingivalis LPS and its fimbriae (FimA) play different roles compared with the live bacteria in the context of intracellular molecule induction and cytokine secretion. To elucidate whether this difference results from different signaling pathways in host immune response to P. gingivalis, its LPS, or its FimA, we examined gene expression profile of human macrophages exposed to P. gingivalis, its LPS, or its FimA. A comparison of gene expression resulted in the identification of three distinct groups of expressed genes. Furthermore, computer-assisted promoter analysis of a subset of each group of differentially regulated genes revealed four putative transcriptional regulation models that associate with transcription factors NFkappaB, IRF7, and KLF4. Using gene knockout mice and siRNA to silence mouse genes, we showed that both TLR2 and TLR7 are essential for the induction of NFkappaB-containing genes and NFkappaB-IFN-sensitive response element (ISRE) cocontaining genes by either P. gingivalis or its purified components. The gene induction via either TLR2 or TLR7 is dependent on both MyD88 and p38 MAPK. However, the unique induction of IFN-beta by P. gingivalis LPS requires TLR7 and IFNalphabetaR cosignaling, and the induction of ISRE-containing gene is dependent on the activation of IFN-beta autocrine loop. Taken together, these data demonstrate that P. gingivalis and its components induce NFkappaB-containing genes through either TLR2- or TLR7-MyD88-p38 MAPK pathway, while P. gingivalis LPS uniquely induces ISRE-containing genes, which requires IFNalphabetaR signaling involving IRF7, KLF4, and pY701 STAT1."}
{"STANDARD_NAME":"SAMOLS_TARGETS_OF_KHSV_MIRNAS_UP","SYSTEMATIC_NAME":"M13045","ORGANISM":"Homo sapiens","PMID":"17500590","AUTHORS":"Samols MA,Skalsky RL,Maldonado AM,Riva A,Lopez MC,Baker HV,Renne R","GEOID":"GSE7554","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in 293 cells (embryonic kidney) upon expression of KHSV (Kaposi sarcoma-associated herpesvirus) microRNAs.","DESCRIPTION_FULL":"MicroRNAs (miRNAs) are 19 to 23 nucleotide-long RNAs that post-transcriptionally regulate gene expression. Human cells express several hundred miRNAs which regulate important biological pathways such as development, proliferation, and apoptosis. Recently, 12 miRNA genes have been identified within the genome of Kaposi sarcoma-associated herpesvirus; however, their functions are still unknown. To identify host cellular genes that may be targeted by these novel viral regulators, we performed gene expression profiling in cells stably expressing KSHV-encoded miRNAs. Data analysis revealed a set of 81 genes whose expression was significantly changed in the presence of miRNAs. While the majority of changes were below 2-fold, eight genes were down-regulated between 4- and 20-fold. We confirmed miRNA-dependent regulation for three of these genes and found that protein levels of thrombospondin 1 (THBS1) were decreased >10-fold. THBS1 has previously been reported to be down-regulated in Kaposi sarcoma lesions and has known activity as a strong tumor suppressor and anti-angiogenic factor, exerting its anti-angiogenic effect in part by activating the latent form of TGF-beta. We show that reduced THBS1 expression in the presence of viral miRNAs translates into decreased TGF-beta activity. These data suggest that KSHV-encoded miRNAs may contribute directly to pathogenesis by down-regulation of THBS1, a major regulator of cell adhesion, migration, and angiogenesis."}
{"STANDARD_NAME":"SAMOLS_TARGETS_OF_KHSV_MIRNAS_DN","SYSTEMATIC_NAME":"M17268","ORGANISM":"Homo sapiens","PMID":"17500590","AUTHORS":"Samols MA,Skalsky RL,Maldonado AM,Riva A,Lopez MC,Baker HV,Renne R","GEOID":"GSE7554","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in 293 cells (embryonic kidney) upon expression of KHSV (Kaposi sarcoma-associated herpesvirus) microRNAs.","DESCRIPTION_FULL":"MicroRNAs (miRNAs) are 19 to 23 nucleotide-long RNAs that post-transcriptionally regulate gene expression. Human cells express several hundred miRNAs which regulate important biological pathways such as development, proliferation, and apoptosis. Recently, 12 miRNA genes have been identified within the genome of Kaposi sarcoma-associated herpesvirus; however, their functions are still unknown. To identify host cellular genes that may be targeted by these novel viral regulators, we performed gene expression profiling in cells stably expressing KSHV-encoded miRNAs. Data analysis revealed a set of 81 genes whose expression was significantly changed in the presence of miRNAs. While the majority of changes were below 2-fold, eight genes were down-regulated between 4- and 20-fold. We confirmed miRNA-dependent regulation for three of these genes and found that protein levels of thrombospondin 1 (THBS1) were decreased >10-fold. THBS1 has previously been reported to be down-regulated in Kaposi sarcoma lesions and has known activity as a strong tumor suppressor and anti-angiogenic factor, exerting its anti-angiogenic effect in part by activating the latent form of TGF-beta. We show that reduced THBS1 expression in the presence of viral miRNAs translates into decreased TGF-beta activity. These data suggest that KSHV-encoded miRNAs may contribute directly to pathogenesis by down-regulation of THBS1, a major regulator of cell adhesion, migration, and angiogenesis."}
{"STANDARD_NAME":"HOOI_ST7_TARGETS_UP","SYSTEMATIC_NAME":"M8455","ORGANISM":"Homo sapiens","PMID":"16474848","AUTHORS":"Hooi CF,Blancher C,Qiu W,Revet IM,Williams LH,Ciavarella ML,Anderson RL,Thompson EW,Connor A,Phillips WA,Campbell IG","EXACT_SOURCE":"Table S1: Fold change > 2","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in PC-3 cells (prostate cancer) stably expressing ST7 [GeneID=7982] off a plasmid vector.","DESCRIPTION_FULL":"Multiple lines of evidence have provided compelling evidence for the existence of a tumor suppressor gene (TSG) on chromosome 7q31.1. ST7 may be the target of this genetic instability but its designation as a TSG is controversial. In this study, we show that, functionally, ST7 behaves as a tumor suppressor in human cancer. ST7 suppressed growth of PC-3 prostate cancer cells inoculated subcutaneously into severe combined immunodeficient mice, and increased the latency of tumor detection from 13 days in control tumors to 23 days. Re-expression of ST7 was also associated with suppression of colony formation under anchorage-independent conditions in MDA-MB-231 breast cancer cells and ST7 mRNA expression was downregulated in 44% of primary breast cancers. Expression profiling of PC-3 cells revealed that ST7 predominantly induces changes in genes involved in re-modeling the extracellular matrix such as SPARC, IGFBP5 and several matrix metalloproteinases. These data indicate that ST7 may mediate tumor suppression through modification of the tumor microenvironment."}
{"STANDARD_NAME":"PRAMOONJAGO_SOX4_TARGETS_DN","SYSTEMATIC_NAME":"M11665","ORGANISM":"Homo sapiens","PMID":"16636670","AUTHORS":"Pramoonjago P,Baras AS,Moskaluk CA","GEOID":"GSE4225","EXACT_SOURCE":"Table 1, 3","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in ACC3 cells (adenoid cystic carcinoma) after knockdown of SOX4 [GeneID=6659] by RNAi.","DESCRIPTION_FULL":"Microarray RNA gene expression profiling analysis has shown that Sox4 (Sry-related high mobility group (HMG) box 4) is one of the most upregulated genes in adenoid cystic carcinoma (ACC), relative to non-neoplastic tissue of origin. Here, we show that Sox4 protein is similarly upregulated in ACC by immunohistochemistry of 28 primary cancers and 20 normal tissues. To elucidate the functional significance of these findings, RNA interference (RNAi)-mediated RNA silencing was used to downregulate Sox4 expression in the ACC-derived cell line, ACC3. With confirmed knockdown of Sox4 protein, cell viability was reduced by 51%, with a corresponding increase of apoptosis to 85% as compared to 12% in controls. Apoptosis was confirmed by cell morphology, DNA fragmentation and flow cytometry. Cells could be rescued from the proapoptotic effects of Sox4 RNAi by co-transfection with a construct expressing functional Sox4. Microarray gene expression profiling of RNAi knockdown experiments shows that downregulation of Sox4-modulated expression of critical genes involved in apoptosis and cell cycle control. Overall, our findings suggest that Sox4 contributes to the malignant phenotype of ACC cells by promoting cell survival."}
{"STANDARD_NAME":"PUIFFE_INVASION_INHIBITED_BY_ASCITES_UP","SYSTEMATIC_NAME":"M3737","ORGANISM":"Homo sapiens","PMID":"17971902","AUTHORS":"Puiffe ML,Le Page C,Filali-Mouhim A,Zietarska M,Ouellet V,Tonin PN,Chevrette M,Provencher DM,Mes-Masson AM","EXACT_SOURCE":"Table W1: Up","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in OV-90 cells (ovarian cancer) exposed to ascites which inhibited invasion.","DESCRIPTION_FULL":"At least one third of all cases of epithelial ovarian cancer are associated with the production of ascites, although its effect on tumor cell microenvironment remains poorly understood. This study addresses the effect of the heterologous acellular fraction of ovarian cancer-derived ascites on a cell line (OV-90) derived from the chemotherapy-naïve ovarian cancer patient. Ascites were assayed for their effect on cell invasion, growth, and spheroid formation. When compared to either no serum or 5% serum, ascites fell into one of two categories: stimulatory or inhibitory. RNA from OV-90 cells exposed to selected ascites were arrayed on an Affymetrix HG-U133A GeneChip. A supervised analysis identified a number of differentially expressed genes and quantitative polymerase chain reaction validation based on OV-90 cells exposed to 54 independent ascites demonstrated that stimulatory ascites affected the expression of ISGF3G, TRIB1, MKP1, RGS4, PLEC1, and MOSPD1 genes. In addition, TRIB1 expression was shown to independently correlate with prognosis when its expression was ascertained in an independent set of primary cultures established from ovarian ascites. The data support the validity of the strategy to uncover molecular events that are associated with tumor cell behavior and highlight the impact of ascites on the cellular and molecular parameters of ovarian cancer."}
{"STANDARD_NAME":"PIEPOLI_LGI1_TARGETS_UP","SYSTEMATIC_NAME":"M15008","ORGANISM":"Homo sapiens","PMID":"16533756","AUTHORS":"Piepoli T,Jakupoglu C,Gu W,Lualdi E,Suarez-Merino B,Poliani PL,Cattaneo MG,Ortino B,Goplen D,Wang J,Mola R,Inverardi F,Frassoni C,Bjerkvig R,Steinlein O,Vicentini LM,Brüstle O,Finocchiaro G","EXACT_SOURCE":"Table 1BS","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Up-regulated genes in U87 cells (glioblastoma multiforme, GBM) engineered to stably express LGI1 [GeneID=9211].","DESCRIPTION_FULL":"Disruptions of LGI1 in glioblastoma (GBM) cell lines and LGI1 mutations in families with autosomal dominant epilepsy imply a role for LGI1 in glial cells as well as in neurons. Although we and others could not find LGI1 mutations in malignant gliomas, our initial studies appeared to support the idea that LGI1 is poorly expressed or absent in these tumors. Microarray data suggested that LGI1 could be involved in the control of matrix metalloproteinases, and we found that tumors derived from U87 glioblastoma cells overexpressing LGI1 were less aggressive than U87 control tumors. To our surprise, we observed that LGI1 expression after differentiation of murine neural stem cells was robust in neurons but negligible in glial cells, in agreement with immunohistochemistry studies on rodent brain. This observation could suggest that the variable levels of LGI1 expression in gliomas reflect the presence of neurons entrapped within the tumor. To test this hypothesis, we investigated LGI1 expression in parallel with expression of the neuronal marker NEF3 by real-time PCR on 30 malignant gliomas. Results showed a strong, positive correlation between the expression levels of these two genes (P < 0.0001). Thus, our data confirm that LGI1 is involved in cell-matrix interactions but suggest that its expression is not relevant in glial cells, implying that its role as a tumor suppressor in gliomas should be reconsidered."}
{"STANDARD_NAME":"PIEPOLI_LGI1_TARGETS_DN","SYSTEMATIC_NAME":"M2835","ORGANISM":"Homo sapiens","PMID":"16533756","AUTHORS":"Piepoli T,Jakupoglu C,Gu W,Lualdi E,Suarez-Merino B,Poliani PL,Cattaneo MG,Ortino B,Goplen D,Wang J,Mola R,Inverardi F,Frassoni C,Bjerkvig R,Steinlein O,Vicentini LM,Brüstle O,Finocchiaro G","EXACT_SOURCE":"Table 1AS","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated genes in U87 cells (glioblastoma multiforme, GBM) engineered to stably express LGI1 [GeneID=9211].","DESCRIPTION_FULL":"Disruptions of LGI1 in glioblastoma (GBM) cell lines and LGI1 mutations in families with autosomal dominant epilepsy imply a role for LGI1 in glial cells as well as in neurons. Although we and others could not find LGI1 mutations in malignant gliomas, our initial studies appeared to support the idea that LGI1 is poorly expressed or absent in these tumors. Microarray data suggested that LGI1 could be involved in the control of matrix metalloproteinases, and we found that tumors derived from U87 glioblastoma cells overexpressing LGI1 were less aggressive than U87 control tumors. To our surprise, we observed that LGI1 expression after differentiation of murine neural stem cells was robust in neurons but negligible in glial cells, in agreement with immunohistochemistry studies on rodent brain. This observation could suggest that the variable levels of LGI1 expression in gliomas reflect the presence of neurons entrapped within the tumor. To test this hypothesis, we investigated LGI1 expression in parallel with expression of the neuronal marker NEF3 by real-time PCR on 30 malignant gliomas. Results showed a strong, positive correlation between the expression levels of these two genes (P < 0.0001). Thus, our data confirm that LGI1 is involved in cell-matrix interactions but suggest that its expression is not relevant in glial cells, implying that its role as a tumor suppressor in gliomas should be reconsidered."}
{"STANDARD_NAME":"THUM_SYSTOLIC_HEART_FAILURE_DN","SYSTEMATIC_NAME":"M18441","ORGANISM":"Homo sapiens","PMID":"17606841","AUTHORS":"Thum T,Galuppo P,Wolf C,Fiedler J,Kneitz S,van Laake LW,Doevendans PA,Mummery CL,Borlak J,Haverich A,Gross C,Engelhardt S,Ertl G,Bauersachs J","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in samples with systolic heart failure compared to normal hearts.","DESCRIPTION_FULL":"BACKGROUND: Chronic heart failure is characterized by left ventricular remodeling and reactivation of a fetal gene program; the underlying mechanisms are only partly understood. Here we provide evidence that cardiac microRNAs, recently discovered key regulators of gene expression, contribute to the transcriptional changes observed in heart failure. METHODS AND RESULTS: Cardiac transcriptome analyses revealed striking similarities between fetal and failing human heart tissue. Using microRNA arrays, we discovered profound alterations of microRNA expression in failing hearts. These changes closely mimicked the microRNA expression pattern observed in fetal cardiac tissue. Bioinformatic analysis demonstrated a striking concordance between regulated messenger RNA expression in heart failure and the presence of microRNA binding sites in the respective 3' untranslated regions. Messenger RNAs upregulated in the failing heart contained preferentially binding sites for downregulated microRNAs and vice versa. Mechanistically, transfection of cardiomyocytes with a set of fetal microRNAs induced cellular hypertrophy as well as changes in gene expression comparable to the failing heart. CONCLUSIONS: Our data support a novel mode of regulation for the transcriptional changes in cardiac failure. Reactivation of a fetal microRNA program substantially contributes to alterations of gene expression in the failing human heart."}
{"STANDARD_NAME":"CORRE_MULTIPLE_MYELOMA_UP","SYSTEMATIC_NAME":"M13639","ORGANISM":"Homo sapiens","PMID":"17344918","AUTHORS":"Corre J,Mahtouk K,Attal M,Gadelorge M,Huynh A,Fleury-Cappellesso S,Danho C,Laharrague P,Klein B,Rème T,Bourin P","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in multiple myeloma (MM) bone marrow mesenchymal stem cells.","DESCRIPTION_FULL":"Recent literature suggested that cells of the microenvironment of tumors could be abnormal as well. To address this hypothesis in multiple myeloma (MM), we studied bone marrow mesenchymal stem cells (BMMSCs), the only long-lived cells of the bone marrow microenvironment, by gene expression profiling and phenotypic and functional studies in three groups of individuals: patients with MM, patients with monoclonal gamopathy of undefined significance (MGUS) and healthy age-matched subjects. Gene expression profile independently classified the BMMSCs of these individuals in a normal and in an MM group. MGUS BMMSCs were interspersed between these two groups. Among the 145 distinct genes differentially expressed in MM and normal BMMSCs, 46% may account for a tumor-microenvironment cross-talk. Known soluble factors implicated in MM pathophysiologic features (i.e. IL (interleukin)-6, DKK1) were revealed and new ones were found which are involved in angiogenesis, osteogenic differentiation or tumor growth. In particular, GDF15 was found to induce dose-dependent growth of MOLP-6, a stromal cell-dependent myeloma cell line. Functionally, MM BMMSCs induced an overgrowth of MOLP-6, and their capacity to differentiate into an osteoblastic lineage was impaired. Thus, MM BMMSCs are abnormal and could create a very efficient niche to support the survival and proliferation of the myeloma cells."}
{"STANDARD_NAME":"CORRE_MULTIPLE_MYELOMA_DN","SYSTEMATIC_NAME":"M990","ORGANISM":"Homo sapiens","PMID":"17344918","AUTHORS":"Corre J,Mahtouk K,Attal M,Gadelorge M,Huynh A,Fleury-Cappellesso S,Danho C,Laharrague P,Klein B,Rème T,Bourin P","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in multiple myeloma (MM) bone marrow mesenchymal stem cells.","DESCRIPTION_FULL":"Recent literature suggested that cells of the microenvironment of tumors could be abnormal as well. To address this hypothesis in multiple myeloma (MM), we studied bone marrow mesenchymal stem cells (BMMSCs), the only long-lived cells of the bone marrow microenvironment, by gene expression profiling and phenotypic and functional studies in three groups of individuals: patients with MM, patients with monoclonal gamopathy of undefined significance (MGUS) and healthy age-matched subjects. Gene expression profile independently classified the BMMSCs of these individuals in a normal and in an MM group. MGUS BMMSCs were interspersed between these two groups. Among the 145 distinct genes differentially expressed in MM and normal BMMSCs, 46% may account for a tumor-microenvironment cross-talk. Known soluble factors implicated in MM pathophysiologic features (i.e. IL (interleukin)-6, DKK1) were revealed and new ones were found which are involved in angiogenesis, osteogenic differentiation or tumor growth. In particular, GDF15 was found to induce dose-dependent growth of MOLP-6, a stromal cell-dependent myeloma cell line. Functionally, MM BMMSCs induced an overgrowth of MOLP-6, and their capacity to differentiate into an osteoblastic lineage was impaired. Thus, MM BMMSCs are abnormal and could create a very efficient niche to support the survival and proliferation of the myeloma cells."}
{"STANDARD_NAME":"HUTTMANN_B_CLL_POOR_SURVIVAL_DN","SYSTEMATIC_NAME":"M12653","ORGANISM":"Homo sapiens","PMID":"16932341","AUTHORS":"Hüttmann A,Klein-Hitpass L,Thomale J,Deenen R,Carpinteiro A,Nückel H,Ebeling P,Führer A,Edelmann J,Sellmann L,Dührsen U,Dürig J","GEOID":"GSE4392","EXACT_SOURCE":"Table 3S: Fold change =< 0.5","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated genes in B-CLL (B-cell chronic leukemia) patients expressing high levels of ZAP70 and CD38 [GeneID=7535;952], which are associated with poor survival.","DESCRIPTION_FULL":"B-cell chronic lymphocytic leukaemia (B-CLL) is a heterogenous disease with a highly variable clinical course and analysis of zeta-associated protein 70 (ZAP-70) and CD38 expression on B-CLL cells allowed for identification of patients with good (ZAP-70-CD38-) and poor (ZAP-70+CD38+) prognosis. DNA microarray technology was employed to compare eight ZAP-70+CD38+ with eight ZAP-70-CD38- B-CLL cases. The expression of 358 genes differed significantly between the two subgroups, including genes involved in B-cell receptor signaling, angiogenesis and lymphomagenesis. Three of these genes, that is, immune receptor translocation-associated protein 4 (IRTA4)/Fc receptor homologue 2 (FcRH2), angiopoietin 2 (ANGPT2) and Pim2 were selected for further validating studies in a cohort of 94 B-CLL patients. IRTA4/FcRH2 expression as detected by flow cytometry was significantly lower in the poor prognosis subgroup as compared to ZAP-70-CD38- B-CLL cells. In healthy individuals, IRTA4/FcRH2 protein expression was associated with a CD19+CD27+ memory cell phenotype. ANGPT2 plasma concentrations were twofold higher in the poor prognosis subgroup (P<0.05). Pim2 was significantly overexpressed in poor prognosis cases and Binet stage C. Disease progression may be related to proangiogenic processes and strong Pim2 expression."}
{"STANDARD_NAME":"CASORELLI_APL_SECONDARY_VS_DE_NOVO_UP","SYSTEMATIC_NAME":"M13339","ORGANISM":"Homo sapiens","PMID":"16990782","AUTHORS":"Casorelli I,Tenedini E,Tagliafico E,Blasi MF,Giuliani A,Crescenzi M,Pelosi E,Testa U,Peschle C,Mele L,Diverio D,Breccia M,Lo-Coco F,Ferrari S,Bignami M","EXACT_SOURCE":"Table 2: upregulated in sAPL","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in secondary APL (acute promyelocytic leukemia) compared to the de novo tumors.","DESCRIPTION_FULL":"Acute promyelocytic leukemia (APL) is a clonal expansion of hematopoietic precursors blocked at the promyelocytic stage. Gene expression profiles of APL cells obtained from 16 patients were compared to eight samples of CD34+-derived normal promyelocytes. Malignant promyelocytes showed widespread changes in transcription in comparison to their normal counterpart and 1020 differentially expressed genes were identified. Discriminating genes include transcriptional regulators (FOS, JUN and HOX genes) and genes involved in cell cycle and DNA repair. The strong upregulation in APL of some transcripts (FLT3, CD33, CD44 and HGF) was also confirmed at protein level. Interestingly, a trend toward a transcriptional repression of genes involved in different DNA repair pathways was found in APL and confirmed by real-time polymerase chain reactor (PCR) in a new set of nine APLs. Our results suggest that both inefficient base excision repair and recombinational repair might play a role in APLs development. To investigate the expression pathways underlying the development of APL occurring as a second malignancy (sAPL), we included in our study eight cases of sAPL. Although both secondary and de novo APL were characterized by a strong homogeneity in expression profiling, we identified a small set of differentially expressed genes that discriminate sAPL from de novo cases."}
{"STANDARD_NAME":"DEURIG_T_CELL_PROLYMPHOCYTIC_LEUKEMIA_UP","SYSTEMATIC_NAME":"M16431","ORGANISM":"Homo sapiens","PMID":"17713554","AUTHORS":"Dürig J,Bug S,Klein-Hitpass L,Boes T,Jöns T,Martin-Subero JI,Harder L,Baudis M,Dührsen U,Siebert R","GEOID":"GSE5788","EXACT_SOURCE":"Table 2AS: Ratio (T-PLL/ND) >= 2","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in T-PLL cells (T-cell prolymphocytic leukemia) bearing the inv(14)/t(14:14) chromosomal aberration.","DESCRIPTION_FULL":"T-cell prolymphocytic leukemia (T-PLL) is a rare aggressive lymphoma derived from mature T cells, which is, in most cases, characterized by the presence of an inv(14)(q11q32)/t(14;14)(q11;q32) and a characteristic pattern of secondary chromosomal aberrations. DNA microarray technology was employed to compare the transcriptomes of eight immunomagnetically purified CD3+ normal donor-derived peripheral blood cell samples, with five highly purified inv(14)/t(14;14)-positive T-PLL blood samples. Between the two experimental groups, 734 genes were identified as differentially expressed, including functionally important genes involved in lymphomagenesis, cell cycle regulation, apoptosis and DNA repair. Notably, the differentially expressed genes were found to be significantly enriched in genomic regions affected by recurrent chromosomal imbalances. Upregulated genes clustered on chromosome arms 6p and 8q, and downregulated genes on 6q, 8p, 10p, 11q and 18p. High-resolution copy-number determination using single nucleotide polymorphism chip technology in 12 inv(14)/t(14;14)-positive T-PLL including those analyzed for gene expression, refined chromosomal breakpoints as well as regions of imbalances. In conclusion, combined transcriptional and molecular cytogenetic profiling identified novel specific chromosomal loci and genes that are likely to be involved in disease progression and suggests a gene dosage effect as a pathogenic mechanism in T-PLL."}
{"STANDARD_NAME":"LIU_CMYB_TARGETS_UP","SYSTEMATIC_NAME":"M15066","ORGANISM":"Homo sapiens","PMID":"16205643","AUTHORS":"Liu F,Lei W,O'Rourke JP,Ness SA","GEOID":"GSE2816,GSE2815","EXACT_SOURCE":"Table 1S: average (cMyb/Cont) >= 2","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in MCF-7 cells (breast cancer) by overexpression of CMYB [GeneID=4602] off adenovirus vector.","DESCRIPTION_FULL":"The v-Myb oncoprotein encoded by Avian Myeloblastosis Virus is highly oncogenic, induces leukemias in chickens and mice and transforms immature hematopoietic cells in vitro. The v-Myb protein is a mutated and truncated version of c-Myb, a DNA-binding transcription factor expressed in many cell types that is essential for normal hematopoiesis. Previous studies suggested that two types of differences, DNA binding domain mutations and the deletion of a C-terminal negative regulatory domain were important for increasing the transforming activity of v-Myb. Here, we combined structure-function studies of the v-Myb and c-Myb proteins with unbiased microarray-based transcription assays to compare the transcriptional specificities of the two proteins. In human cells, the v-Myb and c-Myb proteins displayed strikingly different activities and regulated overlapping, but largely distinct sets of target genes. Each type of mutation that distinguished v-Myb from c-Myb, including the N- and C-terminal deletions, DNA binding domain changes and mutations in the transcriptional activation domain, affected different sets of target genes and contributed to the different activities of c-Myb and v-Myb. The results suggest that v-Myb is not just a de-repressed version of c-Myb. Instead, it is a distinct transcriptional regulator with a unique set of activities."}
{"STANDARD_NAME":"LIU_CMYB_TARGETS_DN","SYSTEMATIC_NAME":"M9230","ORGANISM":"Homo sapiens","PMID":"16205643","AUTHORS":"Liu F,Lei W,O'Rourke JP,Ness SA","GEOID":"GSE2816,GSE2815","EXACT_SOURCE":"Table 1S: average (cMyb/Cont) <= 0.5","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in MCF-7 cells (breast cancer) by overexpression of CMYB [GeneID=4602] off adenovirus vector.","DESCRIPTION_FULL":"The v-Myb oncoprotein encoded by Avian Myeloblastosis Virus is highly oncogenic, induces leukemias in chickens and mice and transforms immature hematopoietic cells in vitro. The v-Myb protein is a mutated and truncated version of c-Myb, a DNA-binding transcription factor expressed in many cell types that is essential for normal hematopoiesis. Previous studies suggested that two types of differences, DNA binding domain mutations and the deletion of a C-terminal negative regulatory domain were important for increasing the transforming activity of v-Myb. Here, we combined structure-function studies of the v-Myb and c-Myb proteins with unbiased microarray-based transcription assays to compare the transcriptional specificities of the two proteins. In human cells, the v-Myb and c-Myb proteins displayed strikingly different activities and regulated overlapping, but largely distinct sets of target genes. Each type of mutation that distinguished v-Myb from c-Myb, including the N- and C-terminal deletions, DNA binding domain changes and mutations in the transcriptional activation domain, affected different sets of target genes and contributed to the different activities of c-Myb and v-Myb. The results suggest that v-Myb is not just a de-repressed version of c-Myb. Instead, it is a distinct transcriptional regulator with a unique set of activities."}
{"STANDARD_NAME":"LIU_VMYB_TARGETS_UP","SYSTEMATIC_NAME":"M1584","ORGANISM":"Homo sapiens","PMID":"16205643","AUTHORS":"Liu F,Lei W,O'Rourke JP,Ness SA","GEOID":"GSE2816,GSE2815","EXACT_SOURCE":"Table 1S: average (vMyb/Cont) >= 2","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in MCF-7 cells (breast cancer) by overexpression of v-MYB oncogenic varian of CMYB [GeneID=4602] off adenovirus vector.","DESCRIPTION_FULL":"The v-Myb oncoprotein encoded by Avian Myeloblastosis Virus is highly oncogenic, induces leukemias in chickens and mice and transforms immature hematopoietic cells in vitro. The v-Myb protein is a mutated and truncated version of c-Myb, a DNA-binding transcription factor expressed in many cell types that is essential for normal hematopoiesis. Previous studies suggested that two types of differences, DNA binding domain mutations and the deletion of a C-terminal negative regulatory domain were important for increasing the transforming activity of v-Myb. Here, we combined structure-function studies of the v-Myb and c-Myb proteins with unbiased microarray-based transcription assays to compare the transcriptional specificities of the two proteins. In human cells, the v-Myb and c-Myb proteins displayed strikingly different activities and regulated overlapping, but largely distinct sets of target genes. Each type of mutation that distinguished v-Myb from c-Myb, including the N- and C-terminal deletions, DNA binding domain changes and mutations in the transcriptional activation domain, affected different sets of target genes and contributed to the different activities of c-Myb and v-Myb. The results suggest that v-Myb is not just a de-repressed version of c-Myb. Instead, it is a distinct transcriptional regulator with a unique set of activities."}
{"STANDARD_NAME":"LIU_TARGETS_OF_VMYB_VS_CMYB_UP","SYSTEMATIC_NAME":"M3389","ORGANISM":"Homo sapiens","PMID":"16205643","AUTHORS":"Liu F,Lei W,O'Rourke JP,Ness SA","GEOID":"GSE2816,GSE2815","EXACT_SOURCE":"Table 4S: Heat Map Order 1-27","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes regulated in the opposite directions by v-MYB (UP) and c-MYB (DN) variants of CMYB [GeneID=4602] overexpressed in primary monocyte cultures off adenoviral vectors.","DESCRIPTION_FULL":"The v-Myb oncoprotein encoded by Avian Myeloblastosis Virus is highly oncogenic, induces leukemias in chickens and mice and transforms immature hematopoietic cells in vitro. The v-Myb protein is a mutated and truncated version of c-Myb, a DNA-binding transcription factor expressed in many cell types that is essential for normal hematopoiesis. Previous studies suggested that two types of differences, DNA binding domain mutations and the deletion of a C-terminal negative regulatory domain were important for increasing the transforming activity of v-Myb. Here, we combined structure-function studies of the v-Myb and c-Myb proteins with unbiased microarray-based transcription assays to compare the transcriptional specificities of the two proteins. In human cells, the v-Myb and c-Myb proteins displayed strikingly different activities and regulated overlapping, but largely distinct sets of target genes. Each type of mutation that distinguished v-Myb from c-Myb, including the N- and C-terminal deletions, DNA binding domain changes and mutations in the transcriptional activation domain, affected different sets of target genes and contributed to the different activities of c-Myb and v-Myb. The results suggest that v-Myb is not just a de-repressed version of c-Myb. Instead, it is a distinct transcriptional regulator with a unique set of activities."}
{"STANDARD_NAME":"LIU_TARGETS_OF_VMYB_VS_CMYB_DN","SYSTEMATIC_NAME":"M3258","ORGANISM":"Homo sapiens","PMID":"16205643","AUTHORS":"Liu F,Lei W,O'Rourke JP,Ness SA","GEOID":"GSE2816,GSE2815","EXACT_SOURCE":"Table 4S: Heat Map Order 28-82","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Gene regulated in the opposite directions by v-MYB (DN) and c-MYB (UP) variants of CMYB [GeneID=4602] overexpressed in primary monocyte cultures off adenoviral vectors.","DESCRIPTION_FULL":"The v-Myb oncoprotein encoded by Avian Myeloblastosis Virus is highly oncogenic, induces leukemias in chickens and mice and transforms immature hematopoietic cells in vitro. The v-Myb protein is a mutated and truncated version of c-Myb, a DNA-binding transcription factor expressed in many cell types that is essential for normal hematopoiesis. Previous studies suggested that two types of differences, DNA binding domain mutations and the deletion of a C-terminal negative regulatory domain were important for increasing the transforming activity of v-Myb. Here, we combined structure-function studies of the v-Myb and c-Myb proteins with unbiased microarray-based transcription assays to compare the transcriptional specificities of the two proteins. In human cells, the v-Myb and c-Myb proteins displayed strikingly different activities and regulated overlapping, but largely distinct sets of target genes. Each type of mutation that distinguished v-Myb from c-Myb, including the N- and C-terminal deletions, DNA binding domain changes and mutations in the transcriptional activation domain, affected different sets of target genes and contributed to the different activities of c-Myb and v-Myb. The results suggest that v-Myb is not just a de-repressed version of c-Myb. Instead, it is a distinct transcriptional regulator with a unique set of activities."}
{"STANDARD_NAME":"CHARAFE_BREAST_CANCER_BASAL_VS_MESENCHYMAL_DN","SYSTEMATIC_NAME":"M12895","ORGANISM":"Homo sapiens","PMID":"16288205","AUTHORS":"Charafe-Jauffret E,Ginestier C,Monville F,Finetti P,Adélaïde J,Cervera N,Fekairi S,Xerri L,Jacquemier J,Birnbaum D,Bertucci F","EXACT_SOURCE":"Table 4S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in basal-like breast cancer cell lines as compared to the mesenchymal-like ones.","DESCRIPTION_FULL":"A better molecular characterization of breast cell lines (BCL) may help discover new markers to apply to tumour samples. We performed gene and protein expression profiling of 31 BCL using whole-genome DNA microarrays and immunohistochemistry (IHC) on 'cell microarrays' (CMA), respectively. Global hierarchical clustering discriminated two groups of BCL: group I corresponded to luminal cell lines, group II to basal and mesenchymal cell lines. Correlations with centroids calculated from a published 'intrinsic 500-gene set' assigned 15 cell lines as luminal, eight as basal and four as mesenchymal. A set of 1.233 genes was differentially expressed between basal and luminal samples. Mesenchymal and basal subtypes were rather similar and discriminated by only 227 genes. The expression of 10 proteins (CAV1, CD44, EGFR, MET, ETS1, GATA3, luminal cytokeratin CK19, basal cytokeratin CK5/6, CD10, and ERM protein moesin) encoded by luminal vs basal discriminator genes confirmed the subtype classification and the validity of the identified markers. Our BCL basal/luminal signature correctly re-classified the published series of tumour samples that originally served to identify the molecular subtypes, suggesting that the identified markers should be useful for tumour classification and might represent promising targets for disease management."}
{"STANDARD_NAME":"DOANE_BREAST_CANCER_CLASSES_DN","SYSTEMATIC_NAME":"M11771","ORGANISM":"Homo sapiens","PMID":"16491124","AUTHORS":"Doane AS,Danso M,Lal P,Donaton M,Zhang L,Hudis C,Gerald WL","EXACT_SOURCE":"Table 1: Class A v B Fold Change < 1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in ER(-) / PR(-) breast tumors (do not express ESR1 and PGR [GeneID=2099;5241]) with molecular similarity to ER(+) (class A) relative to the rest of the ER(-) / PR(-) samples (class B).","DESCRIPTION_FULL":"Little is known of the underlying biology of estrogen receptor-negative, progesterone receptor-negative (ER(-)/PR(-)) breast cancer (BC), and few targeted therapies are available. Clinical heterogeneity of ER(-)/PR(-) tumors suggests that molecular subsets exist. We performed genome-wide expression analysis of 99 primary BC samples and eight BC cell lines in an effort to reveal distinct subsets, provide insight into their biology and potentially identify new therapeutic targets. We identified a subset of ER(-)/PR(-) tumors with paradoxical expression of genes known to be either direct targets of ER, responsive to estrogen, or typically expressed in ER(+) BC. Differentially expressed genes included SPDEF, FOXA1, XBP1, CYB5, TFF3, NAT1, APOD, ALCAM and AR (P<0.001). A classification model based on the expression signature of this tumor class identified molecularly similar BCs in an independent human BC data set and among BC cell lines (MDA-MB-453). This cell line demonstrated a proliferative response to androgen in an androgen receptor-dependent and ER-independent manner. In addition, the androgen-induced transcriptional program of MDA-MB-453 significantly overlapped the molecular signature of the unique ER(-)/PR(-) subclass of human tumors. This subset of BCs, characterized by a hormonally regulated transcriptional program and response to androgen, suggests the potential for therapeutic strategies targeting the androgen signaling pathway."}
{"STANDARD_NAME":"DOANE_BREAST_CANCER_ESR1_DN","SYSTEMATIC_NAME":"M8570","ORGANISM":"Homo sapiens","PMID":"16491124","AUTHORS":"Doane AS,Danso M,Lal P,Donaton M,Zhang L,Hudis C,Gerald WL","EXACT_SOURCE":"Table 2S: Up in ER N.txt","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in breast cancer samples positive for ESR1 [GeneID=2099] compared to the ESR1 negative tumors.","DESCRIPTION_FULL":"Little is known of the underlying biology of estrogen receptor-negative, progesterone receptor-negative (ER(-)/PR(-)) breast cancer (BC), and few targeted therapies are available. Clinical heterogeneity of ER(-)/PR(-) tumors suggests that molecular subsets exist. We performed genome-wide expression analysis of 99 primary BC samples and eight BC cell lines in an effort to reveal distinct subsets, provide insight into their biology and potentially identify new therapeutic targets. We identified a subset of ER(-)/PR(-) tumors with paradoxical expression of genes known to be either direct targets of ER, responsive to estrogen, or typically expressed in ER(+) BC. Differentially expressed genes included SPDEF, FOXA1, XBP1, CYB5, TFF3, NAT1, APOD, ALCAM and AR (P<0.001). A classification model based on the expression signature of this tumor class identified molecularly similar BCs in an independent human BC data set and among BC cell lines (MDA-MB-453). This cell line demonstrated a proliferative response to androgen in an androgen receptor-dependent and ER-independent manner. In addition, the androgen-induced transcriptional program of MDA-MB-453 significantly overlapped the molecular signature of the unique ER(-)/PR(-) subclass of human tumors. This subset of BCs, characterized by a hormonally regulated transcriptional program and response to androgen, suggests the potential for therapeutic strategies targeting the androgen signaling pathway."}
{"STANDARD_NAME":"TIMOFEEVA_GROWTH_STRESS_VIA_STAT1_DN","SYSTEMATIC_NAME":"M2849","ORGANISM":"Homo sapiens","PMID":"16799645","AUTHORS":"Timofeeva OA,Plisov S,Evseev AA,Peng S,Jose-Kampfner M,Lovvorn HN,Dome JS,Perantoni AO","EXACT_SOURCE":"Table 1S: fold change < 1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in SK-NEP-1 cells (Wilm's tumor ) stably expressing inactivated forms of STAT1 [GeneID=6772] under growth stress (hypoxia or nutritional deprivation).","DESCRIPTION_FULL":"Wilms' tumor (WT), one of the most common pediatric solid cancers, arises in the developing kidney as a result of genetic and epigenetic changes that lead to the abnormal proliferation and differentiation of the metanephric blastema. As activation of signal transducers and activators of transcription (STATs) plays an important role in the maintenance/growth and differentiation of the metanephric blastema, and constitutively activated STATs facilitate neoplastic behaviors of a variety of cancers, we hypothesized that dysregulation of STAT signaling may also contribute to WT pathogenesis. Accordingly, we evaluated STAT phosphorylation patterns in tumors and found that STAT1 was constitutively phosphorylated on serine 727 (S727) in 19 of 21 primary WT samples and two WT cell lines. An inactivating mutation of S727 to alanine reduced colony formation of WT cells in soft agar by more than 80% and induced apoptosis under conditions of growth stress. S727-phosphorylated STAT1 provided apoptotic resistance for WT cells via upregulation of expression of the heat-shock protein (HSP)27 and antiapoptotic protein myeloid cell leukemia (MCL)-1. The kinase responsible for STAT1 S727 phosphorylation in WT cells was identified based upon the use of selective inhibitors as protein kinase CK2, not p38, MAP-kinase kinase (MEK)1/2, phosphatidylinositol 3'-kinase, protein kinase C or Ca/calmodulin-dependent protein kinase II (CaMKII). The inhibition of CK2 blocked the anchorage-independent growth of WT cells and induced apoptosis under conditions of growth stress. Our findings suggest that serine-phosphorylated STAT1, as a downstream target of protein kinase CK2, plays a critical role in the pathogenesis of WT and possibly other neoplasms with similar STAT1 phosphorylation patterns."}
{"STANDARD_NAME":"LAIHO_COLORECTAL_CANCER_SERRATED_UP","SYSTEMATIC_NAME":"M16586","ORGANISM":"Homo sapiens","PMID":"16819509","AUTHORS":"Laiho P,Kokko A,Vanharanta S,Salovaara R,Sammalkorpi H,Järvinen H,Mecklin JP,Karttunen TJ,Tuppurainen K,Davalos V,Schwartz S,Arango D,Mäkinen MJ,Aaltonen LA","GEOID":"GSE4045","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in serrated vs conventional colorectal carcinoma (CRC) samples.","DESCRIPTION_FULL":"Serrated colorectal carcinomas (CRCs) are morphologically different from conventional CRCs and have been proposed to follow a distinct pathway of CRC formation. Despite studies of single molecular events in this tumor type, the diagnosis of serrated CRC relies on morphology and the putative unique biological character of these tumors has not been established. Here we show that the gene expression profiling of 37 CRCs separated serrated and conventional CRCs into two distinct branches in unsupervised hierarchical clustering (P-value 7.8 x 10(-7)), and revealed 201 differentially expressed genes representing potential biomarkers for serrated CRC. Immunohistochemistry was utilized to verify the key findings in the 37 CRCs examined by expression profiling, and a separate validation set of 37 serrated and 86 conventional CRCs was examined to evaluate the candidate biomarkers in an extended sample material. Ephrin receptor B2, hypoxia-inducible factor 1-alpha and patched appeared as proteins important for genesis of serrated CRC. This study establishes serrated CRCs as a biologically distinct subclass of CRC and represents a step forward in the molecular classification of these cancers. The study also provides a platform to understand the molecular basis of serrated CRC and in long term may contribute to the development of specific treatment options for this tumor type."}
{"STANDARD_NAME":"LAIHO_COLORECTAL_CANCER_SERRATED_DN","SYSTEMATIC_NAME":"M17423","ORGANISM":"Homo sapiens","PMID":"16819509","AUTHORS":"Laiho P,Kokko A,Vanharanta S,Salovaara R,Sammalkorpi H,Järvinen H,Mecklin JP,Karttunen TJ,Tuppurainen K,Davalos V,Schwartz S,Arango D,Mäkinen MJ,Aaltonen LA","GEOID":"GSE4045","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in serrated vs conventional colorectal carcinoma (CRC) samples.","DESCRIPTION_FULL":"Serrated colorectal carcinomas (CRCs) are morphologically different from conventional CRCs and have been proposed to follow a distinct pathway of CRC formation. Despite studies of single molecular events in this tumor type, the diagnosis of serrated CRC relies on morphology and the putative unique biological character of these tumors has not been established. Here we show that the gene expression profiling of 37 CRCs separated serrated and conventional CRCs into two distinct branches in unsupervised hierarchical clustering (P-value 7.8 x 10(-7)), and revealed 201 differentially expressed genes representing potential biomarkers for serrated CRC. Immunohistochemistry was utilized to verify the key findings in the 37 CRCs examined by expression profiling, and a separate validation set of 37 serrated and 86 conventional CRCs was examined to evaluate the candidate biomarkers in an extended sample material. Ephrin receptor B2, hypoxia-inducible factor 1-alpha and patched appeared as proteins important for genesis of serrated CRC. This study establishes serrated CRCs as a biologically distinct subclass of CRC and represents a step forward in the molecular classification of these cancers. The study also provides a platform to understand the molecular basis of serrated CRC and in long term may contribute to the development of specific treatment options for this tumor type."}
{"STANDARD_NAME":"BORCZUK_MALIGNANT_MESOTHELIOMA_DN","SYSTEMATIC_NAME":"M7988","ORGANISM":"Homo sapiens","PMID":"16862182","AUTHORS":"Borczuk AC,Cappellini GC,Kim HK,Hesdorffer M,Taub RN,Powell CA","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in biphasic (mixed) vs epithelial subtypes of malignant peritoneal mesothelioma.","DESCRIPTION_FULL":"Malignant mesothelioma is an aggressive neoplastic proliferation derived from cells lining serosal membranes. The biological and clinical characteristics of epithelial type malignant mesothelioma are distinct from those of biphasic and sarcomatous type tumors. The goal of our study was to examine the molecular basis for this distinction. Microarray analysis confirmed that the molecular signatures of epithelial and biphasic histologic subtypes were distinct. Among the differentially expressed functional gene categories was the ubiquitin-proteasome pathway, which was upregulated in biphasic tumors. Cytotoxicity experiments indicated that 211H cells derived from biphasic tumors were synergistically sensitive to sequential combination regimens containing the proteasome inhibitor bortezomib and oxaliplatin. The mechanism of this synergistic response, which was not detected in cells of epithelial tumor origin, was apoptosis. Together, our results identify the ubiquitin-proteasome pathway as a biomarker of poor prognosis biphasic peritoneal mesothelioma tumors and suggest that proteasome inhibitors could increase the effectiveness of cytotoxic chemotherapy in this subset of patients."}
{"STANDARD_NAME":"ROY_WOUND_BLOOD_VESSEL_DN","SYSTEMATIC_NAME":"M2176","ORGANISM":"Homo sapiens","PMID":"17728400","AUTHORS":"Roy S,Patel D,Khanna S,Gordillo GM,Biswas S,Friedman A,Sen CK","EXACT_SOURCE":"Table 2S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in blood vessel cells from wound site.","DESCRIPTION_FULL":"Chronic wounds represent a substantial public health problem. The development of tools that would enable sophisticated scrutiny of clinical wound tissue material is highly desirable. This work presents evidence enabling rapid specific identification and laser capture of blood vessels from human tissue in a manner which lends itself to successful high-density (U133A) microarray analysis. Such screening of transcriptome followed by real-time PCR and immunohistochemical verification of candidate genes and their corresponding products were performed by using 3 mm biopsies. Of the 18,400 transcripts and variants screened, a focused set of 53 up-regulated and 24 down-regulated genes were noted in wound-derived blood vessels compared with blood vessels from intact human skin. The mean abundance of periostin in wound-site blood vessels was 96-fold higher. Periostin is known to be induced in response to vascular injury and its expression is associated with smooth muscle cell differentiation in vitro and promotes cell migration. Forty-fold higher expression of heparan sulfate 6-O-endosulfatase1 (Sulf1) was noted in wound-site vessels. Sulf1 has been recently recognized to be anti-angiogenic. During embryonic vasculogenesis, CD24 expression is down-regulated in human embryonic stem cells. Wound-site vessels had lower CD24 expression. The findings of this work provide a unique opportunity to appreciate the striking contrast in the transcriptome composition in blood vessels collected from the intact skin and from the wound-edge tissue. Sets of genes with known vascular functions but never connected to wound healing were identified to be differentially expressed in wound-derived blood vessels paving the way for innovative clinically relevant hypotheses."}
{"STANDARD_NAME":"GRABARCZYK_BCL11B_TARGETS_UP","SYSTEMATIC_NAME":"M6222","ORGANISM":"Homo sapiens","PMID":"17173069","AUTHORS":"Grabarczyk P,Przybylski GK,Depke M,Völker U,Bahr J,Assmus K,Bröker BM,Walther R,Schmidt CA","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in Jurkat cells (transformed T lymphocytes) after knockdown of BCL11B [GeneID=64919] by RNAi.","DESCRIPTION_FULL":"The B-cell chronic lymphocytic leukemia (CLL)/lymphoma 11B gene (BCL11B) encodes a Krüppel-like zinc-finger protein, which plays a crucial role in thymopoiesis and has been associated with hematopoietic malignancies. It was hypothesized that BCL11B may act as a tumor-suppressor gene, but its precise function has not yet been elucidated. Here, we demonstrate that the survival of human T-cell leukemia and lymphoma cell lines is critically dependent on Bcl11b. Suppression of Bcl11b by RNA interference selectively induced apoptosis in transformed T cells whereas normal mature T cells remained unaffected. The apoptosis was effected by simultaneous activation of death receptor-mediated and intrinsic apoptotic pathways, most likely as a result of tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) upregulation and suppression of the Bcl-xL antiapoptotic protein. Our data indicate an antiapoptotic function of Bcl11b. The resistance of normal mature T lymphocytes to Bcl11b suppression-induced apoptosis and restricted expression pattern make it an attractive therapeutic target in T-cell malignancies."}
{"STANDARD_NAME":"GRABARCZYK_BCL11B_TARGETS_DN","SYSTEMATIC_NAME":"M19457","ORGANISM":"Homo sapiens","PMID":"17173069","AUTHORS":"Grabarczyk P,Przybylski GK,Depke M,Völker U,Bahr J,Assmus K,Bröker BM,Walther R,Schmidt CA","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in Jurkat cells (transformed T lymphocytes) after knockdown of BCL11B [GeneID=64919] by RNAi.","DESCRIPTION_FULL":"The B-cell chronic lymphocytic leukemia (CLL)/lymphoma 11B gene (BCL11B) encodes a Krüppel-like zinc-finger protein, which plays a crucial role in thymopoiesis and has been associated with hematopoietic malignancies. It was hypothesized that BCL11B may act as a tumor-suppressor gene, but its precise function has not yet been elucidated. Here, we demonstrate that the survival of human T-cell leukemia and lymphoma cell lines is critically dependent on Bcl11b. Suppression of Bcl11b by RNA interference selectively induced apoptosis in transformed T cells whereas normal mature T cells remained unaffected. The apoptosis was effected by simultaneous activation of death receptor-mediated and intrinsic apoptotic pathways, most likely as a result of tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) upregulation and suppression of the Bcl-xL antiapoptotic protein. Our data indicate an antiapoptotic function of Bcl11b. The resistance of normal mature T lymphocytes to Bcl11b suppression-induced apoptosis and restricted expression pattern make it an attractive therapeutic target in T-cell malignancies."}
{"STANDARD_NAME":"GAL_LEUKEMIC_STEM_CELL_UP","SYSTEMATIC_NAME":"M17428","ORGANISM":"Homo sapiens","PMID":"17039238","AUTHORS":"Gal H,Amariglio N,Trakhtenbrot L,Jacob-Hirsh J,Margalit O,Avigdor A,Nagler A,Tavor S,Ein-Dor L,Lapidot T,Domany E,Rechavi G,Givol D","EXACT_SOURCE":"Table 4S: Over expressed lists","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in leukemic stem cells (LSC), defined as CD34+CD38- [GeneID=947;952] cells from AML (acute myeloid leukemia patients) compared to the CD34+CD38+ cells.","DESCRIPTION_FULL":"Tumors contain a fraction of cancer stem cells that maintain the propagation of the disease. The CD34(+)CD38(-) cells, isolated from acute myeloid leukemia (AML), were shown to be enriched leukemic stem cells (LSC). We isolated the CD34(+)CD38(-) cell fraction from AML and compared their gene expression profiles to the CD34(+)CD38(+) cell fraction, using microarrays. We found 409 genes that were at least twofold over- or underexpressed between the two cell populations. These include underexpression of DNA repair, signal transduction and cell cycle genes, consistent with the relative quiescence of stem cells, and chromosomal aberrations and mutations of leukemic cells. Comparison of the LSC expression data to that of normal hematopoietic stem cells (HSC) revealed that 34% of the modulated genes are shared by both LSC and HSC, supporting the suggestion that the LSC originated within the HSC progenitors. We focused on the Notch pathway since Jagged-2, a Notch ligand was found to be overexpressed in the LSC samples. We show that DAPT, an inhibitor of gamma-secretase, a protease that is involved in Jagged and Notch signaling, inhibits LSC growth in colony formation assays. Identification of additional genes that regulate LSC self-renewal may provide new targets for therapy."}
{"STANDARD_NAME":"CHOI_ATL_CHRONIC_VS_ACUTE_DN","SYSTEMATIC_NAME":"M609","ORGANISM":"Homo sapiens","PMID":"16909099","AUTHORS":"Choi YL,Tsukasaki K,O'Neill MC,Yamada Y,Onimaru Y,Matsumoto K,Ohashi J,Yamashita Y,Tsutsumi S,Kaneda R,Takada S,Aburatani H,Kamihira S,Nakamura T,Tomonaga M,Mano H","GEOID":"GSE1466","EXACT_SOURCE":"Table 2S: up in acute","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in adult T-cell leukemia (ATL), chronic vs acute clinical condition.","DESCRIPTION_FULL":"Adult T-cell leukemia (ATL) is an intractable malignancy of CD4+ T cells that is etiologically associated with infection by human T-cell leukemia virus-type I. Most individuals in the chronic stage of ATL eventually undergo progression to a highly aggressive acute stage. To clarify the mechanism responsible for this stage progression, we isolated CD4+ cells from individuals in the chronic (n=19) or acute (n=22) stages of ATL and subjected them to profiling of gene expression with DNA microarrays containing >44,000 probe sets. Changes in chromosome copy number were also examined for 24 cell specimens with the use of microarrays harboring approximately 50,000 probe sets. Stage-dependent changes in gene expression profile and chromosome copy number were apparent. Furthermore, expression of the gene for MET, a receptor tyrosine kinase for hepatocyte growth factor (HGF), was shown to be specific to the acute stage of ATL, and the plasma concentration of HGF was increased in individuals in either the acute or chronic stage. HGF induced proliferation of a MET-positive ATL cell line, and this effect was blocked by antibodies to HGF. The HGF-MET signaling pathway is thus a potential therapeutic target for ATL."}
{"STANDARD_NAME":"NOJIMA_SFRP2_TARGETS_UP","SYSTEMATIC_NAME":"M14772","ORGANISM":"Homo sapiens","PMID":"17297461","AUTHORS":"Nojima M,Suzuki H,Toyota M,Watanabe Y,Maruyama R,Sasaki S,Sasaki Y,Mita H,Nishikawa N,Yamaguchi K,Hirata K,Itoh F,Tokino T,Mori M,Imai K,Shinomura Y","EXACT_SOURCE":"Table 2","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cellular proliferation, growth, apoptosis and Wnt signaling genes up-regulated in SNU638 cells (gastric cancer) by overexpression of SFRP2 [GeneID=6423] off a plasmid vector.","DESCRIPTION_FULL":"Activation of Wnt signaling has been implicated in gastric tumorigenesis, although mutations in APC (adenomatous polyposis coli), CTNNB1 (beta-catenin) and AXIN are seen much less frequently in gastric cancer (GC) than in colorectal cancer. In the present study, we investigated the relationship between activation of Wnt signaling and changes in the expression of secreted frizzled-related protein (SFRP) family genes in GC. We frequently observed nuclear beta-catenin accumulation (13/15; 87%) and detected the active form of beta-catenin in most (12/16; 75%) GC cell lines. CpG methylation-dependent silencing of SFRP1, SFRP2 and SFRP5 was frequently seen among GC cell lines (SFRP1, 16/16, 100%; SFRP2, 16/16, 100%; SFRP5, 13/16, 81%) and primary GC specimens (SFRP1, 42/46, 91%; SFRP2, 44/46, 96%; SFRP5, 30/46, 65%), and treatment with the DNA methyltransferase inhibitor 5-aza-2'-deoxycytidine rapidly restored SFRP expression. Ectopic expression of SFRPs downregulated T-cell factor/lymphocyte enhancer factor transcriptional activity, suppressed cell growth and induced apoptosis in GC cells. Analysis of global expression revealed that overexpression of SFRP2 repressed Wnt target genes and induced changes in the expression of numerous genes related to proliferation, growth and apoptosis in GC cells. It thus appears that aberrant SFRP methylation is one of the major mechanisms by which Wnt signaling is activated in GC."}
{"STANDARD_NAME":"WIKMAN_ASBESTOS_LUNG_CANCER_UP","SYSTEMATIC_NAME":"M18658","ORGANISM":"Homo sapiens","PMID":"17297452","AUTHORS":"Wikman H,Ruosaari S,Nymark P,Sarhadi VK,Saharinen J,Vanhala E,Karjalainen A,Hollmén J,Knuutila S,Anttila S","EXACT_SOURCE":"Table 1S: R > 0.8","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes positively correlated with the asbestos exposure of lung cancer patients.","DESCRIPTION_FULL":"Asbestos is a pulmonary carcinogen known to give rise to DNA and chromosomal damage, but the exact carcinogenic mechanisms are still largely unknown. In this study, gene expression arrays were performed on lung tumor samples from 14 heavily asbestos-exposed and 14 non-exposed patients matched for other characteristics. Using a two-step statistical analysis, 47 genes were revealed that could differentiate the tumors of asbestos-exposed from those of non-exposed patients. To identify asbestos-associated regions with DNA copy number and expressional changes, the gene expression data were combined with comparative genomic hybridization microarray data. As a result, a combinatory profile of DNA copy number aberrations and expressional changes significantly associated with asbestos exposure was obtained. Asbestos-related areas were detected in 2p21-p16.3, 3p21.31, 5q35.2-q35.3, 16p13.3, 19p13.3-p13.1 and 22q12.3-q13.1. The most prominent of these, 19p13, was further characterized by microsatellite analysis in 62 patients for the differences in allelic imbalance (AI) between the two groups of lung tumors. 79% of the exposed and 45% of the non-exposed patients (P=0.008) were found to be carriers of AI in their lung tumors. In the exposed group, AI in 19p was prevalent regardless of the histological tumor type. In adenocarcinomas, AI in 19p appeared to occur independently of the asbestos exposure."}
{"STANDARD_NAME":"WIKMAN_ASBESTOS_LUNG_CANCER_DN","SYSTEMATIC_NAME":"M9729","ORGANISM":"Homo sapiens","PMID":"17297452","AUTHORS":"Wikman H,Ruosaari S,Nymark P,Sarhadi VK,Saharinen J,Vanhala E,Karjalainen A,Hollmén J,Knuutila S,Anttila S","EXACT_SOURCE":"Table 1S: R < -0.8","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes negatively correlated with the asbestos exposure of lung cancer patients.","DESCRIPTION_FULL":"Asbestos is a pulmonary carcinogen known to give rise to DNA and chromosomal damage, but the exact carcinogenic mechanisms are still largely unknown. In this study, gene expression arrays were performed on lung tumor samples from 14 heavily asbestos-exposed and 14 non-exposed patients matched for other characteristics. Using a two-step statistical analysis, 47 genes were revealed that could differentiate the tumors of asbestos-exposed from those of non-exposed patients. To identify asbestos-associated regions with DNA copy number and expressional changes, the gene expression data were combined with comparative genomic hybridization microarray data. As a result, a combinatory profile of DNA copy number aberrations and expressional changes significantly associated with asbestos exposure was obtained. Asbestos-related areas were detected in 2p21-p16.3, 3p21.31, 5q35.2-q35.3, 16p13.3, 19p13.3-p13.1 and 22q12.3-q13.1. The most prominent of these, 19p13, was further characterized by microsatellite analysis in 62 patients for the differences in allelic imbalance (AI) between the two groups of lung tumors. 79% of the exposed and 45% of the non-exposed patients (P=0.008) were found to be carriers of AI in their lung tumors. In the exposed group, AI in 19p was prevalent regardless of the histological tumor type. In adenocarcinomas, AI in 19p appeared to occur independently of the asbestos exposure."}
{"STANDARD_NAME":"RODRIGUES_DCC_TARGETS_UP","SYSTEMATIC_NAME":"M18359","ORGANISM":"Homo sapiens","PMID":"17334389","AUTHORS":"Rodrigues S,De Wever O,Bruyneel E,Rooney RJ,Gespach C","EXACT_SOURCE":"Table 2S: Direction=I","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in HCT8/S1 cells (colon cancer) which normally lack DCC [GeneID=9423] compared to those stably expressing wild type DCC off a plasmid vector.","DESCRIPTION_FULL":"Deleted in colon cancer (DCC) and UNC5 function as netrin dependence receptors by inducing apoptosis in the absence of their ligand and accordingly were recently designated as putative conditional tumor suppressors. Herein, we determined whether netrin-1 and its receptors are implicated in cancer cell invasion and tumor progression. Expression of DCC, UNC5 and adenosine A2B-receptors (A2B-Rs) was investigated by reverse transcription polymerase chain reaction in human colon cancer cells. The impact of DCC restitution and netrin-1 was evaluated on collagen type I invasion, tumor growth and metastasis in nude mice, cancer cell survival and gene expression profiling. Flow cytometry, poly(ADP-ribose)polymerase-1 and caspase-8 activation were used to evaluate the impact of DCC on cell death. Both netrin-1 and A2B-R activation induced the invasive phenotype through the Rho-Rho kinase axis in DCC-deficient human colorectal cancer cells. Restitution of wild-type DCC blocked invasion induced by netrin-1, A2B-R agonist and other agents. Ectopic expression of netrin-1 led to increased growth of human colon tumor xenografts in athymic mice. Conversely, introduction of wt-DCC in kidney MDCKts.src-ggl cells strongly inhibited metastasis in lymph nodes and lungs and increased sensitivity to apoptosis in hypoxia. DNA microarrays revealed that netrin and DCC had common and divergent impacts on gene expression linked to cell cycle, survival, surface signaling and adhesion. Our findings underscore that netrin is a potent invasion and tumor growth-promoting agent and that DCC is a metastasis suppressor gene targeting both proinvasive and survival pathways in a cumulative manner."}
{"STANDARD_NAME":"RODRIGUES_NTN1_TARGETS_UP","SYSTEMATIC_NAME":"M12027","ORGANISM":"Homo sapiens","PMID":"17334389","AUTHORS":"Rodrigues S,De Wever O,Bruyneel E,Rooney RJ,Gespach C","EXACT_SOURCE":"Table 3S: Direction=I","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in HCT8/S11 cells (colon cancer) engineered to stably express NTN1 [GeneID=1630] off a plasmid vector.","DESCRIPTION_FULL":"Deleted in colon cancer (DCC) and UNC5 function as netrin dependence receptors by inducing apoptosis in the absence of their ligand and accordingly were recently designated as putative conditional tumor suppressors. Herein, we determined whether netrin-1 and its receptors are implicated in cancer cell invasion and tumor progression. Expression of DCC, UNC5 and adenosine A2B-receptors (A2B-Rs) was investigated by reverse transcription polymerase chain reaction in human colon cancer cells. The impact of DCC restitution and netrin-1 was evaluated on collagen type I invasion, tumor growth and metastasis in nude mice, cancer cell survival and gene expression profiling. Flow cytometry, poly(ADP-ribose)polymerase-1 and caspase-8 activation were used to evaluate the impact of DCC on cell death. Both netrin-1 and A2B-R activation induced the invasive phenotype through the Rho-Rho kinase axis in DCC-deficient human colorectal cancer cells. Restitution of wild-type DCC blocked invasion induced by netrin-1, A2B-R agonist and other agents. Ectopic expression of netrin-1 led to increased growth of human colon tumor xenografts in athymic mice. Conversely, introduction of wt-DCC in kidney MDCKts.src-ggl cells strongly inhibited metastasis in lymph nodes and lungs and increased sensitivity to apoptosis in hypoxia. DNA microarrays revealed that netrin and DCC had common and divergent impacts on gene expression linked to cell cycle, survival, surface signaling and adhesion. Our findings underscore that netrin is a potent invasion and tumor growth-promoting agent and that DCC is a metastasis suppressor gene targeting both proinvasive and survival pathways in a cumulative manner."}
{"STANDARD_NAME":"WANG_LMO4_TARGETS_DN","SYSTEMATIC_NAME":"M12674","ORGANISM":"Homo sapiens","PMID":"17452977","AUTHORS":"Wang N,Lin KK,Lu Z,Lam KS,Newton R,Xu X,Yu Z,Gill GN,Andersen B","GEOID":"GSE7382","EXACT_SOURCE":"Figure 6S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in MCF7 cells (breast cancer) engineered to conditionally express LMO4 [GeneID=8543] by a Tet Off system.","DESCRIPTION_FULL":"The nuclear LIM-only protein 4 (LMO4) is upregulated in breast cancer, especially estrogen receptor-negative tumors, and its overexpression in mice leads to hyperplasia and tumor formation. Here, we show that deletion of LMO4 in the mammary glands of mice leads to impaired lobuloalveolar development due to decreased epithelial cell proliferation. With the goal of discovering potential LMO4-target genes, we also developed a conditional expression system in MCF-7 cells for both LMO4 and a dominant negative (DN) form of its co-regulator, cofactor of LIM domains (Clim/Ldb/Nli). We then used DNA microarrays to identify genes responsive to LMO4 and DN-Clim upregulation. One of the genes common to both data sets was bone morphogenic protein 7 (BMP7), whose expression is also significantly correlated with LMO4 transcript levels in a large dataset of human breast cancers, suggesting that BMP7 is a bona fide target gene of LMO4 in breast cancer. Inhibition of BMP7 partially blocks the effects of LMO4 on apoptosis, indicating that BMP7 mediates at least some functions of LMO4. Gene transfer studies show that LMO4 regulates the BMP7 promoter, and chromatin immunoprecipitation studies show that LMO4 and its cofactor Clim2 are recruited to the BMP7 promoter. Furthermore, we demonstrate that HDAC2 recruitment to the BMP7 promoter is inhibited by upregulation of LMO4 and that HDAC2 knockdown upregulates the promoter. These studies suggest a novel mechanism of action for LMO4: LMO4, Clim2 and HDAC2 are part of a transcriptional complex, and increased LMO4 levels can disrupt the complex, leading to decreased HDAC2 recruitment and increased promoter activity."}
{"STANDARD_NAME":"WANG_CLIM2_TARGETS_DN","SYSTEMATIC_NAME":"M8577","ORGANISM":"Homo sapiens","PMID":"17452977","AUTHORS":"Wang N,Lin KK,Lu Z,Lam KS,Newton R,Xu X,Yu Z,Gill GN,Andersen B","GEOID":"GSE7382","EXACT_SOURCE":"Figure 7S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in MCF7 cells (breast cancer) engineered to conditionally express a dominant negative form of CLIM2 [GeneID=8861] by a Tet Off system.","DESCRIPTION_FULL":"The nuclear LIM-only protein 4 (LMO4) is upregulated in breast cancer, especially estrogen receptor-negative tumors, and its overexpression in mice leads to hyperplasia and tumor formation. Here, we show that deletion of LMO4 in the mammary glands of mice leads to impaired lobuloalveolar development due to decreased epithelial cell proliferation. With the goal of discovering potential LMO4-target genes, we also developed a conditional expression system in MCF-7 cells for both LMO4 and a dominant negative (DN) form of its co-regulator, cofactor of LIM domains (Clim/Ldb/Nli). We then used DNA microarrays to identify genes responsive to LMO4 and DN-Clim upregulation. One of the genes common to both data sets was bone morphogenic protein 7 (BMP7), whose expression is also significantly correlated with LMO4 transcript levels in a large dataset of human breast cancers, suggesting that BMP7 is a bona fide target gene of LMO4 in breast cancer. Inhibition of BMP7 partially blocks the effects of LMO4 on apoptosis, indicating that BMP7 mediates at least some functions of LMO4. Gene transfer studies show that LMO4 regulates the BMP7 promoter, and chromatin immunoprecipitation studies show that LMO4 and its cofactor Clim2 are recruited to the BMP7 promoter. Furthermore, we demonstrate that HDAC2 recruitment to the BMP7 promoter is inhibited by upregulation of LMO4 and that HDAC2 knockdown upregulates the promoter. These studies suggest a novel mechanism of action for LMO4: LMO4, Clim2 and HDAC2 are part of a transcriptional complex, and increased LMO4 levels can disrupt the complex, leading to decreased HDAC2 recruitment and increased promoter activity."}
{"STANDARD_NAME":"VECCHI_GASTRIC_CANCER_ADVANCED_VS_EARLY_DN","SYSTEMATIC_NAME":"M2108","ORGANISM":"Homo sapiens","PMID":"17297478","AUTHORS":"Vecchi M,Nuciforo P,Romagnoli S,Confalonieri S,Pellegrini C,Serio G,Quarto M,Capra M,Roviaro GC,Contessini Avesani E,Corsi C,Coggi G,Di Fiore PP,Bosari S","EXACT_SOURCE":"Table 2S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated genes distinguishing between two subtypes of gastric cancer: advanced (AGC) and early (EGC).","DESCRIPTION_FULL":"Gastric carcinoma is one of the major causes of cancer mortality worldwide. Early detection results in excellent prognosis for patients with early cancer (EGC), whereas the prognosis of advanced cancer (AGC) patients remains poor. It is not clear whether EGC and AGC are molecularly distinct, and whether they represent progressive stages of the same tumor or different entities ab initio. Gene expression profiles of EGC and AGC were determined by Affymetrix technology and quantitative polymerase chain reaction. Representative regulated genes were further analysed by in situ hybridization (ISH) on tissue microarrays. Expression analysis allowed the identification of a signature that differentiates AGC from EGC. In addition, comparison with normal gastric mucosa indicated that the majority of alterations associated with EGC are retained in AGC, and that further expression changes mark the transition from EGC to AGC. Finally, ISH analysis showed that representative genes, differentially expressed in the invasive areas of EGC and AGC, are not differentially expressed in the non-invasive areas of the same tumors. Our data are more directly compatible with a progression model of gastric carcinogenesis, whereby EGC and AGC may represent different molecular stages of the same tumor. Finally, the identification of an AGC-specific signature might help devising novel therapeutic strategies for advanced gastric cancer."}
{"STANDARD_NAME":"BARRIER_COLON_CANCER_RECURRENCE_UP","SYSTEMATIC_NAME":"M9728","ORGANISM":"Homo sapiens","PMID":"17043639","AUTHORS":"Barrier A,Roser F,Boëlle PY,Franc B,Tse C,Brault D,Lacaine F,Houry S,Callard P,Penna C,Debuire B,Flahault A,Dudoit S,Lemoine A","EXACT_SOURCE":"Table 4","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Up-regulated genes from the 70-gene prognosis predictor for stage 2 colon cancer, based on non-neoplastic mucosa gene expression profiles.","DESCRIPTION_FULL":"We have assessed the possibility to build a prognosis predictor (PP), based on non-neoplastic mucosa microarray gene expression measures, for stage II colon cancer patients. Non-neoplastic colonic mucosa mRNA samples from 24 patients (10 with a metachronous metastasis, 14 with no recurrence) were profiled using the Affymetrix HGU133A GeneChip. Patients were repeatedly and randomly divided into 1000 training sets (TSs) of size 16 and validation sets (VS) of size 8. For each TS/VS split, a 70-gene PP, identified on the TS by selecting the 70 most differentially expressed genes and applying diagonal linear discriminant analysis, was used to predict the prognoses of VS patients. Mean prognosis prediction performances of the 70-gene PP were 81.8% for accuracy, 73.0% for sensitivity and 87.1% for specificity. Informative genes suggested branching signal-transduction pathways with possible extensive networks between individual pathways. They also included genes coding for proteins involved in immune surveillance. In conclusion, our study suggests that one can build an accurate PP for stage II colon cancer patients, based on non-neoplastic mucosa microarray gene expression measures."}
{"STANDARD_NAME":"BARRIER_COLON_CANCER_RECURRENCE_DN","SYSTEMATIC_NAME":"M5736","ORGANISM":"Homo sapiens","PMID":"17043639","AUTHORS":"Barrier A,Roser F,Boëlle PY,Franc B,Tse C,Brault D,Lacaine F,Houry S,Callard P,Penna C,Debuire B,Flahault A,Dudoit S,Lemoine A","EXACT_SOURCE":"Table 5","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated genes from the 70-gene prognosis predictor for stage 2 colon cancer, based on non-neoplastic mucosa gene expression profiles.","DESCRIPTION_FULL":"We have assessed the possibility to build a prognosis predictor (PP), based on non-neoplastic mucosa microarray gene expression measures, for stage II colon cancer patients. Non-neoplastic colonic mucosa mRNA samples from 24 patients (10 with a metachronous metastasis, 14 with no recurrence) were profiled using the Affymetrix HGU133A GeneChip. Patients were repeatedly and randomly divided into 1000 training sets (TSs) of size 16 and validation sets (VS) of size 8. For each TS/VS split, a 70-gene PP, identified on the TS by selecting the 70 most differentially expressed genes and applying diagonal linear discriminant analysis, was used to predict the prognoses of VS patients. Mean prognosis prediction performances of the 70-gene PP were 81.8% for accuracy, 73.0% for sensitivity and 87.1% for specificity. Informative genes suggested branching signal-transduction pathways with possible extensive networks between individual pathways. They also included genes coding for proteins involved in immune surveillance. In conclusion, our study suggests that one can build an accurate PP for stage II colon cancer patients, based on non-neoplastic mucosa microarray gene expression measures."}
{"STANDARD_NAME":"SMIRNOV_CIRCULATING_ENDOTHELIOCYTES_IN_CANCER_DN","SYSTEMATIC_NAME":"M15967","ORGANISM":"Homo sapiens","PMID":"16540638","AUTHORS":"Smirnov DA,Foulk BW,Doyle GV,Connelly MC,Terstappen LW,O'Hara SM","EXACT_SOURCE":"Table 1BS: Log2 Ratio Mean(Cancer/Normal) < 0","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in circulating endothelial cells (CEC) from cancer patients compared to those from healthy donors.","DESCRIPTION_FULL":"Increased numbers of endothelial cells are observed in peripheral blood of cancer patients. These circulating endothelial cells (CECs) may contribute to the formation of blood vessels in the tumor or reflect vascular damage caused by treatment or tumor growth. Characterization of these cells may aid in the understanding of the angiogenic process and may provide biomarkers for treatment efficacy of angiogenesis inhibitors. To identify markers typical for CECs in cancer patients, we assessed global gene expression profiles of CD146 immunomagnetically enriched CECs from healthy donors and patients with metastatic breast, colorectal, prostate, lung, and renal cancer. From the generated gene profiles, a list of 61 marker genes for CEC detection was generated, and their expression was measured by real-time quantitative PCR in blood samples from 81 metastatic cancer patients and 55 healthy donors that were immunomagnetically enriched for CECs. A set of 34 genes, among which novel CEC-associated genes, such as THBD, BST1, TIE1, POSTN1, SELE, SORT1, and DTR, were identified that were expressed at higher levels in cancer patients compared with healthy donors. Expression of the VWF, DTR, CDH5, TIE, and IGFBP7 genes were found to discriminate between cancer patients and healthy donors with a receiver operating characteristic curve accuracy of 0.93. Assessment of the expression of these genes may provide biomarkers to evaluate treatment efficacy."}
{"STANDARD_NAME":"JAEGER_METASTASIS_UP","SYSTEMATIC_NAME":"M5740","ORGANISM":"Homo sapiens","PMID":"17289871","AUTHORS":"Jaeger J,Koczan D,Thiesen HJ,Ibrahim SM,Gross G,Spang R,Kunz M","EXACT_SOURCE":"Table 2S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in metastases from malignant melanoma compared to the primary tumors.","DESCRIPTION_FULL":"PURPOSE: To better understand the molecular mechanisms of malignant melanoma progression and metastasis, gene expression profiling was done of primary melanomas and melanoma metastases. EXPERIMENTAL DESIGN: Tumor cell-specific gene expression in 19 primary melanomas and 22 melanoma metastases was analyzed using oligonucleotide microarrays after laser-capture microdissection of melanoma cells. Statistical analysis was done by random permutation analysis and support vector machines. Microarray data were further validated by immunohistochemistry and immunoblotting. RESULTS: Overall, 308 genes were identified that showed significant differential expression between primary melanomas and melanoma metastases (false discovery rate85% correct classifications for primary melanomas and metastases was reached. Further analysis showed that subtypes of primary melanomas displayed characteristic gene expression patterns, as do thin tumors (2.0 mm Breslow thickness). CONCLUSIONS: Taken together, this large-scale gene expression study of malignant melanoma identified molecular signatures related to metastasis, melanoma subtypes, and tumor thickness. These findings not only provide deeper insights into the pathogenesis of melanoma progression but may also guide future research on innovative treatments."}
{"STANDARD_NAME":"GINESTIER_BREAST_CANCER_ZNF217_AMPLIFIED_UP","SYSTEMATIC_NAME":"M5827","ORGANISM":"Homo sapiens","PMID":"16899599","AUTHORS":"Ginestier C,Cervera N,Finetti P,Esteyries S,Esterni B,Adélaïde J,Xerri L,Viens P,Jacquemier J,Charafe-Jauffret E,Chaffanet M,Birnbaum D,Bertucci F","EXACT_SOURCE":"Table 4S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in non-metastatic breast cancer tumors having type 1 amplification in the 20q13 region; involves ZNF217 [GeneID=7764] locus only.","DESCRIPTION_FULL":"PURPOSE: Amplification of chromosomal region 20q13 occurs in breast cancer but remains poorly characterized. EXPERIMENTAL DESIGN: To establish the frequency of 20q13 amplification and select the amplified cases to be studied, we used fluorescence in situ hybridization of bacterial artificial chromosome probes for three 20q13 loci (MYBL2, STK6, ZNF217) on sections of tissue microarrays containing 466 primary carcinoma samples. We used Affymetryx whole-genome DNA microarrays to establish the gene expression profiles of 20q13-amplified tumors and quantitative reverse transcription-PCR to validate the results. RESULTS: We found 36 (8%) 20q13-amplified samples. They were distributed in two types: type 1 tumors showed ZNF217 amplification only, whereas type 2 tumors showed amplification at two or three loci. Examination of the histoclinical features of the amplified tumors showed two strikingly opposite data. First, type 1 tumors were more frequently lymph node-negative tumors but were paradoxically associated with a poor prognosis. Second, type 2 tumors were more frequently lymph node-positive tumors but were paradoxically associated with a good prognosis. Type 1 and type 2 showed different gene expression profiles. No 20q13 gene could be associated with type 1 amplification, whereas several 20q13 genes were overexpressed in type 2 tumors. CONCLUSIONS: Our results suggest that amplified tumors of types 1 and 2 are two distinct entities resulting from two different mechanisms and associated to different prognosis."}
{"STANDARD_NAME":"GINESTIER_BREAST_CANCER_ZNF217_AMPLIFIED_DN","SYSTEMATIC_NAME":"M17094","ORGANISM":"Homo sapiens","PMID":"16899599","AUTHORS":"Ginestier C,Cervera N,Finetti P,Esteyries S,Esterni B,Adélaïde J,Xerri L,Viens P,Jacquemier J,Charafe-Jauffret E,Chaffanet M,Birnbaum D,Bertucci F","EXACT_SOURCE":"Table 4S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in non-metastatic breast cancer tumors having type 1 amplification in the 20q13 region; involves ZNF217 [GeneID=7764] locus only.","DESCRIPTION_FULL":"PURPOSE: Amplification of chromosomal region 20q13 occurs in breast cancer but remains poorly characterized. EXPERIMENTAL DESIGN: To establish the frequency of 20q13 amplification and select the amplified cases to be studied, we used fluorescence in situ hybridization of bacterial artificial chromosome probes for three 20q13 loci (MYBL2, STK6, ZNF217) on sections of tissue microarrays containing 466 primary carcinoma samples. We used Affymetryx whole-genome DNA microarrays to establish the gene expression profiles of 20q13-amplified tumors and quantitative reverse transcription-PCR to validate the results. RESULTS: We found 36 (8%) 20q13-amplified samples. They were distributed in two types: type 1 tumors showed ZNF217 amplification only, whereas type 2 tumors showed amplification at two or three loci. Examination of the histoclinical features of the amplified tumors showed two strikingly opposite data. First, type 1 tumors were more frequently lymph node-negative tumors but were paradoxically associated with a poor prognosis. Second, type 2 tumors were more frequently lymph node-positive tumors but were paradoxically associated with a good prognosis. Type 1 and type 2 showed different gene expression profiles. No 20q13 gene could be associated with type 1 amplification, whereas several 20q13 genes were overexpressed in type 2 tumors. CONCLUSIONS: Our results suggest that amplified tumors of types 1 and 2 are two distinct entities resulting from two different mechanisms and associated to different prognosis."}
{"STANDARD_NAME":"GINESTIER_BREAST_CANCER_20Q13_AMPLIFICATION_UP","SYSTEMATIC_NAME":"M19076","ORGANISM":"Homo sapiens","PMID":"16899599","AUTHORS":"Ginestier C,Cervera N,Finetti P,Esteyries S,Esterni B,Adélaïde J,Xerri L,Viens P,Jacquemier J,Charafe-Jauffret E,Chaffanet M,Birnbaum D,Bertucci F","EXACT_SOURCE":"Table 5S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in metastatic breast cancer tumors having type 2 amplification in the 20q13 region; involves MYBL2, STK6 and ZNF217 [GeneID=4605;6790;7764]","DESCRIPTION_FULL":"PURPOSE: Amplification of chromosomal region 20q13 occurs in breast cancer but remains poorly characterized. EXPERIMENTAL DESIGN: To establish the frequency of 20q13 amplification and select the amplified cases to be studied, we used fluorescence in situ hybridization of bacterial artificial chromosome probes for three 20q13 loci (MYBL2, STK6, ZNF217) on sections of tissue microarrays containing 466 primary carcinoma samples. We used Affymetryx whole-genome DNA microarrays to establish the gene expression profiles of 20q13-amplified tumors and quantitative reverse transcription-PCR to validate the results. RESULTS: We found 36 (8%) 20q13-amplified samples. They were distributed in two types: type 1 tumors showed ZNF217 amplification only, whereas type 2 tumors showed amplification at two or three loci. Examination of the histoclinical features of the amplified tumors showed two strikingly opposite data. First, type 1 tumors were more frequently lymph node-negative tumors but were paradoxically associated with a poor prognosis. Second, type 2 tumors were more frequently lymph node-positive tumors but were paradoxically associated with a good prognosis. Type 1 and type 2 showed different gene expression profiles. No 20q13 gene could be associated with type 1 amplification, whereas several 20q13 genes were overexpressed in type 2 tumors. CONCLUSIONS: Our results suggest that amplified tumors of types 1 and 2 are two distinct entities resulting from two different mechanisms and associated to different prognosis."}
{"STANDARD_NAME":"GINESTIER_BREAST_CANCER_20Q13_AMPLIFICATION_DN","SYSTEMATIC_NAME":"M19988","ORGANISM":"Homo sapiens","PMID":"16899599","AUTHORS":"Ginestier C,Cervera N,Finetti P,Esteyries S,Esterni B,Adélaïde J,Xerri L,Viens P,Jacquemier J,Charafe-Jauffret E,Chaffanet M,Birnbaum D,Bertucci F","EXACT_SOURCE":"Table 5S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in metastatic breast cancer tumors having type 2 amplification in the 20q13 region; involves MYBL2, STK6 and ZNF217 [GeneID=4605;6790;7764]","DESCRIPTION_FULL":"PURPOSE: Amplification of chromosomal region 20q13 occurs in breast cancer but remains poorly characterized. EXPERIMENTAL DESIGN: To establish the frequency of 20q13 amplification and select the amplified cases to be studied, we used fluorescence in situ hybridization of bacterial artificial chromosome probes for three 20q13 loci (MYBL2, STK6, ZNF217) on sections of tissue microarrays containing 466 primary carcinoma samples. We used Affymetryx whole-genome DNA microarrays to establish the gene expression profiles of 20q13-amplified tumors and quantitative reverse transcription-PCR to validate the results. RESULTS: We found 36 (8%) 20q13-amplified samples. They were distributed in two types: type 1 tumors showed ZNF217 amplification only, whereas type 2 tumors showed amplification at two or three loci. Examination of the histoclinical features of the amplified tumors showed two strikingly opposite data. First, type 1 tumors were more frequently lymph node-negative tumors but were paradoxically associated with a poor prognosis. Second, type 2 tumors were more frequently lymph node-positive tumors but were paradoxically associated with a good prognosis. Type 1 and type 2 showed different gene expression profiles. No 20q13 gene could be associated with type 1 amplification, whereas several 20q13 genes were overexpressed in type 2 tumors. CONCLUSIONS: Our results suggest that amplified tumors of types 1 and 2 are two distinct entities resulting from two different mechanisms and associated to different prognosis."}
{"STANDARD_NAME":"GARGALOVIC_RESPONSE_TO_OXIDIZED_PHOSPHOLIPIDS_YELLOW_UP","SYSTEMATIC_NAME":"M1930","ORGANISM":"Homo sapiens","PMID":"16912112","AUTHORS":"Gargalovic PS,Imura M,Zhang B,Gharavi NM,Clark MJ,Pagnon J,Yang WP,He A,Truong A,Patel S,Nelson SF,Horvath S,Berliner JA,Kirchgessner TG,Lusis AJ","EXACT_SOURCE":"Table 1S: module=yellow & fold change >= 1.5","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes from the yellow module which are up-regulated in HAEC cells (primary aortic endothelium) after exposure to the oxidized 1-palmitoyl-2-arachidonyl-sn-3-glycerophosphorylcholine (oxPAPC).","DESCRIPTION_FULL":"Oxidized phospholipids are thought to promote atherogenesis by stimulating endothelial cells (ECs) to produce inflammatory cytokines, such as IL-8. In studies with mouse models, we previously demonstrated that genetic variation in inflammatory responses of endothelial cells to oxidized lipids contributes importantly to atherosclerosis susceptibility. We now show that similar variations occur in cultured aortic ECs derived from multiple heart transplant donors. These variations were stably maintained between passages and, thus, reflect either genetic or epigenetic regulatory differences. Expression array analysis of aortic EC cultures derived from 12 individuals revealed that >1,000 genes were regulated by oxidized phospholipids. We have used the observed variations in the sampled population to construct a gene coexpression network comprised of 15 modules of highly connected genes. We show that several identified modules are significantly enriched in genes for known pathways and confirm a module enriched for unfolded protein response (UPR) genes using siRNA and the UPR inducer tunicamycin. On the basis of the constructed network, we predicted that a gene of unknown function (MGC4504) present in the UPR module is a target for UPR transcriptional activator ATF4. Our data also indicate that IL-8 is present in the UPR module and is regulated, in part, by the UPR. We validate these by using siRNA. In conclusion, we show that interindividual variability can be used to group genes into pathways and predict gene-gene regulatory relationships, thus identifying targets potentially involved in susceptibility to common diseases such as atherosclerosis."}
{"STANDARD_NAME":"GARGALOVIC_RESPONSE_TO_OXIDIZED_PHOSPHOLIPIDS_YELLOW_DN","SYSTEMATIC_NAME":"M10172","ORGANISM":"Homo sapiens","PMID":"16912112","AUTHORS":"Gargalovic PS,Imura M,Zhang B,Gharavi NM,Clark MJ,Pagnon J,Yang WP,He A,Truong A,Patel S,Nelson SF,Horvath S,Berliner JA,Kirchgessner TG,Lusis AJ","EXACT_SOURCE":"Table 1S: module=yellow & fold change < 0.667","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes from the yellow module which are dn-regulated in HAEC cells (primary aortic endothelium) after exposure to the oxidized 1-palmitoyl-2-arachidonyl-sn-3-glycerophosphorylcholine (oxPAPC).","DESCRIPTION_FULL":"Oxidized phospholipids are thought to promote atherogenesis by stimulating endothelial cells (ECs) to produce inflammatory cytokines, such as IL-8. In studies with mouse models, we previously demonstrated that genetic variation in inflammatory responses of endothelial cells to oxidized lipids contributes importantly to atherosclerosis susceptibility. We now show that similar variations occur in cultured aortic ECs derived from multiple heart transplant donors. These variations were stably maintained between passages and, thus, reflect either genetic or epigenetic regulatory differences. Expression array analysis of aortic EC cultures derived from 12 individuals revealed that >1,000 genes were regulated by oxidized phospholipids. We have used the observed variations in the sampled population to construct a gene coexpression network comprised of 15 modules of highly connected genes. We show that several identified modules are significantly enriched in genes for known pathways and confirm a module enriched for unfolded protein response (UPR) genes using siRNA and the UPR inducer tunicamycin. On the basis of the constructed network, we predicted that a gene of unknown function (MGC4504) present in the UPR module is a target for UPR transcriptional activator ATF4. Our data also indicate that IL-8 is present in the UPR module and is regulated, in part, by the UPR. We validate these by using siRNA. In conclusion, we show that interindividual variability can be used to group genes into pathways and predict gene-gene regulatory relationships, thus identifying targets potentially involved in susceptibility to common diseases such as atherosclerosis."}
{"STANDARD_NAME":"GARGALOVIC_RESPONSE_TO_OXIDIZED_PHOSPHOLIPIDS_RED_DN","SYSTEMATIC_NAME":"M18008","ORGANISM":"Homo sapiens","PMID":"16912112","AUTHORS":"Gargalovic PS,Imura M,Zhang B,Gharavi NM,Clark MJ,Pagnon J,Yang WP,He A,Truong A,Patel S,Nelson SF,Horvath S,Berliner JA,Kirchgessner TG,Lusis AJ","EXACT_SOURCE":"Table 1S: module=red & fold change < 0.667","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes from the red module which are dn-regulated in HAEC cells (primary aortic endothelium) after exposure to the oxidized 1-palmitoyl-2-arachidonyl-sn-3-glycerophosphorylcholine (oxPAPC).","DESCRIPTION_FULL":"Oxidized phospholipids are thought to promote atherogenesis by stimulating endothelial cells (ECs) to produce inflammatory cytokines, such as IL-8. In studies with mouse models, we previously demonstrated that genetic variation in inflammatory responses of endothelial cells to oxidized lipids contributes importantly to atherosclerosis susceptibility. We now show that similar variations occur in cultured aortic ECs derived from multiple heart transplant donors. These variations were stably maintained between passages and, thus, reflect either genetic or epigenetic regulatory differences. Expression array analysis of aortic EC cultures derived from 12 individuals revealed that >1,000 genes were regulated by oxidized phospholipids. We have used the observed variations in the sampled population to construct a gene coexpression network comprised of 15 modules of highly connected genes. We show that several identified modules are significantly enriched in genes for known pathways and confirm a module enriched for unfolded protein response (UPR) genes using siRNA and the UPR inducer tunicamycin. On the basis of the constructed network, we predicted that a gene of unknown function (MGC4504) present in the UPR module is a target for UPR transcriptional activator ATF4. Our data also indicate that IL-8 is present in the UPR module and is regulated, in part, by the UPR. We validate these by using siRNA. In conclusion, we show that interindividual variability can be used to group genes into pathways and predict gene-gene regulatory relationships, thus identifying targets potentially involved in susceptibility to common diseases such as atherosclerosis."}
{"STANDARD_NAME":"GARGALOVIC_RESPONSE_TO_OXIDIZED_PHOSPHOLIPIDS_MAGENTA_DN","SYSTEMATIC_NAME":"M168","ORGANISM":"Homo sapiens","PMID":"16912112","AUTHORS":"Gargalovic PS,Imura M,Zhang B,Gharavi NM,Clark MJ,Pagnon J,Yang WP,He A,Truong A,Patel S,Nelson SF,Horvath S,Berliner JA,Kirchgessner TG,Lusis AJ","EXACT_SOURCE":"Table 1S: module=magenta & fold change < 0.667","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes from the magenta module which are dn-regulated in HAEC cells (primary aortic endothelium) after exposure to the oxidized 1-palmitoyl-2-arachidonyl-sn-3-glycerophosphorylcholine (oxPAPC).","DESCRIPTION_FULL":"Oxidized phospholipids are thought to promote atherogenesis by stimulating endothelial cells (ECs) to produce inflammatory cytokines, such as IL-8. In studies with mouse models, we previously demonstrated that genetic variation in inflammatory responses of endothelial cells to oxidized lipids contributes importantly to atherosclerosis susceptibility. We now show that similar variations occur in cultured aortic ECs derived from multiple heart transplant donors. These variations were stably maintained between passages and, thus, reflect either genetic or epigenetic regulatory differences. Expression array analysis of aortic EC cultures derived from 12 individuals revealed that >1,000 genes were regulated by oxidized phospholipids. We have used the observed variations in the sampled population to construct a gene coexpression network comprised of 15 modules of highly connected genes. We show that several identified modules are significantly enriched in genes for known pathways and confirm a module enriched for unfolded protein response (UPR) genes using siRNA and the UPR inducer tunicamycin. On the basis of the constructed network, we predicted that a gene of unknown function (MGC4504) present in the UPR module is a target for UPR transcriptional activator ATF4. Our data also indicate that IL-8 is present in the UPR module and is regulated, in part, by the UPR. We validate these by using siRNA. In conclusion, we show that interindividual variability can be used to group genes into pathways and predict gene-gene regulatory relationships, thus identifying targets potentially involved in susceptibility to common diseases such as atherosclerosis."}
{"STANDARD_NAME":"GARGALOVIC_RESPONSE_TO_OXIDIZED_PHOSPHOLIPIDS_LIGHTYELLOW_UP","SYSTEMATIC_NAME":"M19724","ORGANISM":"Homo sapiens","PMID":"16912112","AUTHORS":"Gargalovic PS,Imura M,Zhang B,Gharavi NM,Clark MJ,Pagnon J,Yang WP,He A,Truong A,Patel S,Nelson SF,Horvath S,Berliner JA,Kirchgessner TG,Lusis AJ","EXACT_SOURCE":"Table 1S: module=lightyellow & fold change >= 1.5","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes from the lightyellow module which are up-regulated in HAEC cells (primary aortic endothelium) after exposure to the oxidized 1-palmitoyl-2-arachidonyl-sn-3-glycerophosphorylcholine (oxPAPC).","DESCRIPTION_FULL":"Oxidized phospholipids are thought to promote atherogenesis by stimulating endothelial cells (ECs) to produce inflammatory cytokines, such as IL-8. In studies with mouse models, we previously demonstrated that genetic variation in inflammatory responses of endothelial cells to oxidized lipids contributes importantly to atherosclerosis susceptibility. We now show that similar variations occur in cultured aortic ECs derived from multiple heart transplant donors. These variations were stably maintained between passages and, thus, reflect either genetic or epigenetic regulatory differences. Expression array analysis of aortic EC cultures derived from 12 individuals revealed that >1,000 genes were regulated by oxidized phospholipids. We have used the observed variations in the sampled population to construct a gene coexpression network comprised of 15 modules of highly connected genes. We show that several identified modules are significantly enriched in genes for known pathways and confirm a module enriched for unfolded protein response (UPR) genes using siRNA and the UPR inducer tunicamycin. On the basis of the constructed network, we predicted that a gene of unknown function (MGC4504) present in the UPR module is a target for UPR transcriptional activator ATF4. Our data also indicate that IL-8 is present in the UPR module and is regulated, in part, by the UPR. We validate these by using siRNA. In conclusion, we show that interindividual variability can be used to group genes into pathways and predict gene-gene regulatory relationships, thus identifying targets potentially involved in susceptibility to common diseases such as atherosclerosis."}
{"STANDARD_NAME":"GARGALOVIC_RESPONSE_TO_OXIDIZED_PHOSPHOLIPIDS_GREEN_UP","SYSTEMATIC_NAME":"M5968","ORGANISM":"Homo sapiens","PMID":"16912112","AUTHORS":"Gargalovic PS,Imura M,Zhang B,Gharavi NM,Clark MJ,Pagnon J,Yang WP,He A,Truong A,Patel S,Nelson SF,Horvath S,Berliner JA,Kirchgessner TG,Lusis AJ","EXACT_SOURCE":"Table 1S: module=green & fold change >= 1.5","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes from the green module which are up-regulated in HAEC cells (primary aortic endothelium) after exposure to the oxidized 1-palmitoyl-2-arachidonyl-sn-3-glycerophosphorylcholine (oxPAPC).","DESCRIPTION_FULL":"Oxidized phospholipids are thought to promote atherogenesis by stimulating endothelial cells (ECs) to produce inflammatory cytokines, such as IL-8. In studies with mouse models, we previously demonstrated that genetic variation in inflammatory responses of endothelial cells to oxidized lipids contributes importantly to atherosclerosis susceptibility. We now show that similar variations occur in cultured aortic ECs derived from multiple heart transplant donors. These variations were stably maintained between passages and, thus, reflect either genetic or epigenetic regulatory differences. Expression array analysis of aortic EC cultures derived from 12 individuals revealed that >1,000 genes were regulated by oxidized phospholipids. We have used the observed variations in the sampled population to construct a gene coexpression network comprised of 15 modules of highly connected genes. We show that several identified modules are significantly enriched in genes for known pathways and confirm a module enriched for unfolded protein response (UPR) genes using siRNA and the UPR inducer tunicamycin. On the basis of the constructed network, we predicted that a gene of unknown function (MGC4504) present in the UPR module is a target for UPR transcriptional activator ATF4. Our data also indicate that IL-8 is present in the UPR module and is regulated, in part, by the UPR. We validate these by using siRNA. In conclusion, we show that interindividual variability can be used to group genes into pathways and predict gene-gene regulatory relationships, thus identifying targets potentially involved in susceptibility to common diseases such as atherosclerosis."}
{"STANDARD_NAME":"GARGALOVIC_RESPONSE_TO_OXIDIZED_PHOSPHOLIPIDS_GREEN_DN","SYSTEMATIC_NAME":"M19520","ORGANISM":"Homo sapiens","PMID":"16912112","AUTHORS":"Gargalovic PS,Imura M,Zhang B,Gharavi NM,Clark MJ,Pagnon J,Yang WP,He A,Truong A,Patel S,Nelson SF,Horvath S,Berliner JA,Kirchgessner TG,Lusis AJ","EXACT_SOURCE":"Table 1S: module=green & fold change < 0.667","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes from the green module which are dn-regulated in HAEC cells (primary aortic endothelium) after exposure to the oxidized 1-palmitoyl-2-arachidonyl-sn-3-glycerophosphorylcholine (oxPAPC).","DESCRIPTION_FULL":"Oxidized phospholipids are thought to promote atherogenesis by stimulating endothelial cells (ECs) to produce inflammatory cytokines, such as IL-8. In studies with mouse models, we previously demonstrated that genetic variation in inflammatory responses of endothelial cells to oxidized lipids contributes importantly to atherosclerosis susceptibility. We now show that similar variations occur in cultured aortic ECs derived from multiple heart transplant donors. These variations were stably maintained between passages and, thus, reflect either genetic or epigenetic regulatory differences. Expression array analysis of aortic EC cultures derived from 12 individuals revealed that >1,000 genes were regulated by oxidized phospholipids. We have used the observed variations in the sampled population to construct a gene coexpression network comprised of 15 modules of highly connected genes. We show that several identified modules are significantly enriched in genes for known pathways and confirm a module enriched for unfolded protein response (UPR) genes using siRNA and the UPR inducer tunicamycin. On the basis of the constructed network, we predicted that a gene of unknown function (MGC4504) present in the UPR module is a target for UPR transcriptional activator ATF4. Our data also indicate that IL-8 is present in the UPR module and is regulated, in part, by the UPR. We validate these by using siRNA. In conclusion, we show that interindividual variability can be used to group genes into pathways and predict gene-gene regulatory relationships, thus identifying targets potentially involved in susceptibility to common diseases such as atherosclerosis."}
{"STANDARD_NAME":"GARGALOVIC_RESPONSE_TO_OXIDIZED_PHOSPHOLIPIDS_BLUE_DN","SYSTEMATIC_NAME":"M12517","ORGANISM":"Homo sapiens","PMID":"16912112","AUTHORS":"Gargalovic PS,Imura M,Zhang B,Gharavi NM,Clark MJ,Pagnon J,Yang WP,He A,Truong A,Patel S,Nelson SF,Horvath S,Berliner JA,Kirchgessner TG,Lusis AJ","EXACT_SOURCE":"Table 1S: module=blue & fold change < 0.667","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes from the blue module which are dn-regulated in HAEC cells (primary aortic endothelium) after exposure to the oxidized 1-palmitoyl-2-arachidonyl-sn-3-glycerophosphorylcholine (oxPAPC).","DESCRIPTION_FULL":"Oxidized phospholipids are thought to promote atherogenesis by stimulating endothelial cells (ECs) to produce inflammatory cytokines, such as IL-8. In studies with mouse models, we previously demonstrated that genetic variation in inflammatory responses of endothelial cells to oxidized lipids contributes importantly to atherosclerosis susceptibility. We now show that similar variations occur in cultured aortic ECs derived from multiple heart transplant donors. These variations were stably maintained between passages and, thus, reflect either genetic or epigenetic regulatory differences. Expression array analysis of aortic EC cultures derived from 12 individuals revealed that >1,000 genes were regulated by oxidized phospholipids. We have used the observed variations in the sampled population to construct a gene coexpression network comprised of 15 modules of highly connected genes. We show that several identified modules are significantly enriched in genes for known pathways and confirm a module enriched for unfolded protein response (UPR) genes using siRNA and the UPR inducer tunicamycin. On the basis of the constructed network, we predicted that a gene of unknown function (MGC4504) present in the UPR module is a target for UPR transcriptional activator ATF4. Our data also indicate that IL-8 is present in the UPR module and is regulated, in part, by the UPR. We validate these by using siRNA. In conclusion, we show that interindividual variability can be used to group genes into pathways and predict gene-gene regulatory relationships, thus identifying targets potentially involved in susceptibility to common diseases such as atherosclerosis."}
{"STANDARD_NAME":"GARGALOVIC_RESPONSE_TO_OXIDIZED_PHOSPHOLIPIDS_BLACK_DN","SYSTEMATIC_NAME":"M4397","ORGANISM":"Homo sapiens","PMID":"16912112","AUTHORS":"Gargalovic PS,Imura M,Zhang B,Gharavi NM,Clark MJ,Pagnon J,Yang WP,He A,Truong A,Patel S,Nelson SF,Horvath S,Berliner JA,Kirchgessner TG,Lusis AJ","EXACT_SOURCE":"Table 1S: module=black & fold change < 0.667","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes from the black module which are dn-regulated in HAEC cells (primary aortic endothelium) after exposure to the oxidized 1-palmitoyl-2-arachidonyl-sn-3-glycerophosphorylcholine (oxPAPC).","DESCRIPTION_FULL":"Oxidized phospholipids are thought to promote atherogenesis by stimulating endothelial cells (ECs) to produce inflammatory cytokines, such as IL-8. In studies with mouse models, we previously demonstrated that genetic variation in inflammatory responses of endothelial cells to oxidized lipids contributes importantly to atherosclerosis susceptibility. We now show that similar variations occur in cultured aortic ECs derived from multiple heart transplant donors. These variations were stably maintained between passages and, thus, reflect either genetic or epigenetic regulatory differences. Expression array analysis of aortic EC cultures derived from 12 individuals revealed that >1,000 genes were regulated by oxidized phospholipids. We have used the observed variations in the sampled population to construct a gene coexpression network comprised of 15 modules of highly connected genes. We show that several identified modules are significantly enriched in genes for known pathways and confirm a module enriched for unfolded protein response (UPR) genes using siRNA and the UPR inducer tunicamycin. On the basis of the constructed network, we predicted that a gene of unknown function (MGC4504) present in the UPR module is a target for UPR transcriptional activator ATF4. Our data also indicate that IL-8 is present in the UPR module and is regulated, in part, by the UPR. We validate these by using siRNA. In conclusion, we show that interindividual variability can be used to group genes into pathways and predict gene-gene regulatory relationships, thus identifying targets potentially involved in susceptibility to common diseases such as atherosclerosis."}
{"STANDARD_NAME":"GARGALOVIC_RESPONSE_TO_OXIDIZED_PHOSPHOLIPIDS_GREY_UP","SYSTEMATIC_NAME":"M19133","ORGANISM":"Homo sapiens","PMID":"16912112","AUTHORS":"Gargalovic PS,Imura M,Zhang B,Gharavi NM,Clark MJ,Pagnon J,Yang WP,He A,Truong A,Patel S,Nelson SF,Horvath S,Berliner JA,Kirchgessner TG,Lusis AJ","EXACT_SOURCE":"Table 1S: module=grey & fold change >= 1.5","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes from the grey module which are up-regulated in HAEC cells (primary aortic endothelium) after exposure to the oxidized 1-palmitoyl-2-arachidonyl-sn-3-glycerophosphorylcholine (oxPAPC).","DESCRIPTION_FULL":"Oxidized phospholipids are thought to promote atherogenesis by stimulating endothelial cells (ECs) to produce inflammatory cytokines, such as IL-8. In studies with mouse models, we previously demonstrated that genetic variation in inflammatory responses of endothelial cells to oxidized lipids contributes importantly to atherosclerosis susceptibility. We now show that similar variations occur in cultured aortic ECs derived from multiple heart transplant donors. These variations were stably maintained between passages and, thus, reflect either genetic or epigenetic regulatory differences. Expression array analysis of aortic EC cultures derived from 12 individuals revealed that >1,000 genes were regulated by oxidized phospholipids. We have used the observed variations in the sampled population to construct a gene coexpression network comprised of 15 modules of highly connected genes. We show that several identified modules are significantly enriched in genes for known pathways and confirm a module enriched for unfolded protein response (UPR) genes using siRNA and the UPR inducer tunicamycin. On the basis of the constructed network, we predicted that a gene of unknown function (MGC4504) present in the UPR module is a target for UPR transcriptional activator ATF4. Our data also indicate that IL-8 is present in the UPR module and is regulated, in part, by the UPR. We validate these by using siRNA. In conclusion, we show that interindividual variability can be used to group genes into pathways and predict gene-gene regulatory relationships, thus identifying targets potentially involved in susceptibility to common diseases such as atherosclerosis."}
{"STANDARD_NAME":"RUNNE_GENDER_EFFECT_UP","SYSTEMATIC_NAME":"M17072","ORGANISM":"Homo sapiens","PMID":"17724341","AUTHORS":"Runne H,Kuhn A,Wild EJ,Pratyaksha W,Kristiansen M,Isaacs JD,Régulier E,Delorenzi M,Tabrizi SJ,Luthi-Carter R","GEOID":"GSE8762","EXACT_SOURCE":"Table 2, 5S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Up-regulated genes detecting gender effects in global expression profiling studies.","DESCRIPTION_FULL":"Highly quantitative biomarkers of neurodegenerative disease remain an important need in the urgent quest for disease-modifying therapies. For Huntington's disease (HD), a genetic test is available (trait marker), but necessary state markers are still in development. In this report, we describe a large battery of transcriptomic tests explored as state biomarker candidates. In an attempt to exploit the known neuroinflammatory and transcriptional perturbations of disease, we measured relevant mRNAs in peripheral blood cells. The performance of these potential markers was weak overall, with only one mRNA, immediate early response 3 (IER3), showing a modest but significant increase of 32% in HD samples compared with controls. No statistically significant differences were found for any other mRNAs tested, including a panel of 12 RNA biomarkers identified in a previous report [Borovecki F, Lovrecic L, Zhou J, Jeong H, Then F, Rosas HD, Hersch SM, Hogarth P, Bouzou B, Jensen RV, et al. (2005) Proc Natl Acad Sci USA 102:11023-11028]. The present results may nonetheless inform the future design and testing of HD biomarker strategies."}
{"STANDARD_NAME":"TAKEDA_TARGETS_OF_NUP98_HOXA9_FUSION_6HR_DN","SYSTEMATIC_NAME":"M10084","ORGANISM":"Homo sapiens","PMID":"16818636","AUTHORS":"Takeda A,Goolsby C,Yaseen NR","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-rgulated in CD34+ [GeneID=947] hematopoetic cells by expression of NUP98-HOXA9 fusion [GeneID=4928;3205] off a retroviral vector at 6h.","DESCRIPTION_FULL":"NUP98-HOXA9, the chimeric protein resulting from the t(7;11)(p15;p15) chromosomal translocation, is a prototype of several NUP98 fusions that occur in myelodysplastic syndromes and acute myeloid leukemia. We examined its effect on differentiation, proliferation, and gene expression in primary human CD34+ hematopoietic cells. Colony-forming cell (CFC) assays in semisolid medium combined with morphologic examination and flow cytometric immunophenotyping revealed that NUP98-HOXA9 increased the numbers of erythroid precursors and impaired both myeloid and erythroid differentiation. In continuous liquid culture, cells transduced with NUP98-HOXA9 exhibited a biphasic growth curve with initial growth inhibition followed by enhanced long-term proliferation, suggesting an increase in the numbers of primitive self-renewing cells. This was confirmed by a dramatic increase in the numbers of long-term culture-initiating cells, the most primitive hematopoietic cells detectable in vitro. To understand the molecular mechanisms underlying the effects of NUP98-HOXA9 on hematopoietic cell proliferation and differentiation, oligonucleotide microarray analysis was done at several time points over 16 days, starting at 6 hours posttransduction. The early growth suppression was preceded by up-regulation of IFNbeta1 and accompanied by marked up-regulation of IFN-induced genes, peaking at 3 days posttransduction. In contrast, oncogenes such as homeobox transcription factors, FLT3, KIT, and WT1 peaked at 8 days or beyond, coinciding with increased proliferation. In addition, several putative tumor suppressors and genes associated with hematopoietic differentiation were repressed at later time points. These findings provide a comprehensive picture of the changes in proliferation, differentiation, and global gene expression that underlie the leukemic transformation of human hematopoietic cells by NUP98-HOXA9."}
{"STANDARD_NAME":"TAKEDA_TARGETS_OF_NUP98_HOXA9_FUSION_3D_DN","SYSTEMATIC_NAME":"M3210","ORGANISM":"Homo sapiens","PMID":"16818636","AUTHORS":"Takeda A,Goolsby C,Yaseen NR","EXACT_SOURCE":"Table 2S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in CD34+ [GeneID=947] hematopoetic cells by expression of NUP98-HOXA9 fusion [GeneID=4928;3205] off a retroviral vector at 3 days after transduction.","DESCRIPTION_FULL":"NUP98-HOXA9, the chimeric protein resulting from the t(7;11)(p15;p15) chromosomal translocation, is a prototype of several NUP98 fusions that occur in myelodysplastic syndromes and acute myeloid leukemia. We examined its effect on differentiation, proliferation, and gene expression in primary human CD34+ hematopoietic cells. Colony-forming cell (CFC) assays in semisolid medium combined with morphologic examination and flow cytometric immunophenotyping revealed that NUP98-HOXA9 increased the numbers of erythroid precursors and impaired both myeloid and erythroid differentiation. In continuous liquid culture, cells transduced with NUP98-HOXA9 exhibited a biphasic growth curve with initial growth inhibition followed by enhanced long-term proliferation, suggesting an increase in the numbers of primitive self-renewing cells. This was confirmed by a dramatic increase in the numbers of long-term culture-initiating cells, the most primitive hematopoietic cells detectable in vitro. To understand the molecular mechanisms underlying the effects of NUP98-HOXA9 on hematopoietic cell proliferation and differentiation, oligonucleotide microarray analysis was done at several time points over 16 days, starting at 6 hours posttransduction. The early growth suppression was preceded by up-regulation of IFNbeta1 and accompanied by marked up-regulation of IFN-induced genes, peaking at 3 days posttransduction. In contrast, oncogenes such as homeobox transcription factors, FLT3, KIT, and WT1 peaked at 8 days or beyond, coinciding with increased proliferation. In addition, several putative tumor suppressors and genes associated with hematopoietic differentiation were repressed at later time points. These findings provide a comprehensive picture of the changes in proliferation, differentiation, and global gene expression that underlie the leukemic transformation of human hematopoietic cells by NUP98-HOXA9."}
{"STANDARD_NAME":"LOPEZ_MESOTELIOMA_SURVIVAL_TIME_UP","SYSTEMATIC_NAME":"M540","ORGANISM":"Homo sapiens","PMID":"16540645","AUTHORS":"López-Ríos F,Chuai S,Flores R,Shimizu S,Ohno T,Wakahara K,Illei PB,Hussain S,Krug L,Zakowski MF,Rusch V,Olshen AB,Ladanyi M","EXACT_SOURCE":"Table 5AS: short-term","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top genes higher expressed in short term mesothelioma survivors.","DESCRIPTION_FULL":"Most gene expression profiling studies of mesothelioma have been based on relatively small sample numbers, limiting their statistical power. We did Affymetrix U133A microarray analysis on 99 pleural mesotheliomas, in which multivariate analysis showed advanced-stage, sarcomatous histology and P16/CDKN2A homozygous deletion to be significant independent adverse prognostic factors. Comparison of the expression profiles of epithelioid versus sarcomatous mesotheliomas identified many genes significantly overexpressed among the former, including previously unrecognized ones, such as uroplakins and kallikrein 11, both confirmed by immunohistochemistry. Examination of the gene expression correlates of survival showed that more aggressive mesotheliomas expressed higher levels of Aurora kinases A and B and functionally related genes involved in mitosis and cell cycle control. Independent confirmation of the negative effect of Aurora kinase B was obtained by immunohistochemistry in a separate patient cohort. A role for Aurora kinases in the aggressive behavior of mesotheliomas is of potential clinical interest because of the recent development of small-molecule inhibitors. We then used our data to develop microarray-based predictors of 1 year survival; these achieved a maximal accuracy of 68% in cross-validation. However, this was inferior to prognostic prediction based on standard clinicopathologic variables and P16/CDNK2A status (accuracy, 73%), and adding the microarray model to the latter did not improve overall accuracy. Finally, we evaluated three recently published microarray-based outcome prediction models, but their accuracies ranged from 63% to 67%, consistently lower than reported. Gene expression profiling of mesotheliomas is an important discovery tool, but its power in clinical prognostication has been overestimated."}
{"STANDARD_NAME":"LOPEZ_MESOTELIOMA_SURVIVAL_TIME_DN","SYSTEMATIC_NAME":"M5899","ORGANISM":"Homo sapiens","PMID":"16540645","AUTHORS":"López-Ríos F,Chuai S,Flores R,Shimizu S,Ohno T,Wakahara K,Illei PB,Hussain S,Krug L,Zakowski MF,Rusch V,Olshen AB,Ladanyi M","EXACT_SOURCE":"Table 5AS: long-term","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top genes higher expressed in long term mesothelioma survivors.","DESCRIPTION_FULL":"Most gene expression profiling studies of mesothelioma have been based on relatively small sample numbers, limiting their statistical power. We did Affymetrix U133A microarray analysis on 99 pleural mesotheliomas, in which multivariate analysis showed advanced-stage, sarcomatous histology and P16/CDKN2A homozygous deletion to be significant independent adverse prognostic factors. Comparison of the expression profiles of epithelioid versus sarcomatous mesotheliomas identified many genes significantly overexpressed among the former, including previously unrecognized ones, such as uroplakins and kallikrein 11, both confirmed by immunohistochemistry. Examination of the gene expression correlates of survival showed that more aggressive mesotheliomas expressed higher levels of Aurora kinases A and B and functionally related genes involved in mitosis and cell cycle control. Independent confirmation of the negative effect of Aurora kinase B was obtained by immunohistochemistry in a separate patient cohort. A role for Aurora kinases in the aggressive behavior of mesotheliomas is of potential clinical interest because of the recent development of small-molecule inhibitors. We then used our data to develop microarray-based predictors of 1 year survival; these achieved a maximal accuracy of 68% in cross-validation. However, this was inferior to prognostic prediction based on standard clinicopathologic variables and P16/CDNK2A status (accuracy, 73%), and adding the microarray model to the latter did not improve overall accuracy. Finally, we evaluated three recently published microarray-based outcome prediction models, but their accuracies ranged from 63% to 67%, consistently lower than reported. Gene expression profiling of mesotheliomas is an important discovery tool, but its power in clinical prognostication has been overestimated."}
{"STANDARD_NAME":"BOGNI_TREATMENT_RELATED_MYELOID_LEUKEMIA_UP","SYSTEMATIC_NAME":"M14736","ORGANISM":"Homo sapiens","PMID":"16341039","AUTHORS":"Bogni A,Cheng C,Liu W,Yang W,Pfeffer J,Mukatira S,French D,Downing JR,Pui CH,Relling MV","EXACT_SOURCE":"Table 1: Relative ratio > 0","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in ALL (acute lymphoblastic leukemia) patients who developed t-ML (treatment related myeloid leukemia).","DESCRIPTION_FULL":"Using a target gene approach, only a few host genetic risk factors for treatment-related myeloid leukemia (t-ML) have been defined. Gene expression microarrays allow for a more genome-wide approach to assess possible genetic risk factors for t-ML. We assessed gene expression profiles (n=12 625 probe sets) in diagnostic acute lymphoblastic leukemic cells from 228 children treated on protocols that included leukemogenic agents such as etoposide, 13 of whom developed t-ML. Expression of 68 probes, corresponding to 63 genes, was significantly related to risk of t-ML. Hierarchical clustering of these probe sets clustered patients into three groups with 94, 122 and 12 patients, respectively; 12 of the 13 patients who went on to develop t-ML were overrepresented in the latter group (P<0.0001). A permutation test indicated a low likelihood that these probe sets and clusters were obtained by chance (P<0.001). Distinguishing genes included transcription-related oncogenes (v-Myb, Pax-5), cyclins (CCNG1, CCNG2 and CCND1) and histone HIST1H4C. Common transcription factor recognition elements among similarly up- or downregulated genes included several involved in hematopoietic differentiation or leukemogenesis (Maz, PU.1, ARNT). This approach has identified several genes whose expression distinguishes patients at risk of t-ML, and suggests targets for assessing germline predisposition to leukemogenesis."}
{"STANDARD_NAME":"BOGNI_TREATMENT_RELATED_MYELOID_LEUKEMIA_DN","SYSTEMATIC_NAME":"M8981","ORGANISM":"Homo sapiens","PMID":"16341039","AUTHORS":"Bogni A,Cheng C,Liu W,Yang W,Pfeffer J,Mukatira S,French D,Downing JR,Pui CH,Relling MV","EXACT_SOURCE":"Table 1: Relative ratio < 0","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in ALL (acute lymphoblastic leukemia) patients who developed t-ML (treatment related myeloid leukemia).","DESCRIPTION_FULL":"Using a target gene approach, only a few host genetic risk factors for treatment-related myeloid leukemia (t-ML) have been defined. Gene expression microarrays allow for a more genome-wide approach to assess possible genetic risk factors for t-ML. We assessed gene expression profiles (n=12 625 probe sets) in diagnostic acute lymphoblastic leukemic cells from 228 children treated on protocols that included leukemogenic agents such as etoposide, 13 of whom developed t-ML. Expression of 68 probes, corresponding to 63 genes, was significantly related to risk of t-ML. Hierarchical clustering of these probe sets clustered patients into three groups with 94, 122 and 12 patients, respectively; 12 of the 13 patients who went on to develop t-ML were overrepresented in the latter group (P<0.0001). A permutation test indicated a low likelihood that these probe sets and clusters were obtained by chance (P<0.001). Distinguishing genes included transcription-related oncogenes (v-Myb, Pax-5), cyclins (CCNG1, CCNG2 and CCND1) and histone HIST1H4C. Common transcription factor recognition elements among similarly up- or downregulated genes included several involved in hematopoietic differentiation or leukemogenesis (Maz, PU.1, ARNT). This approach has identified several genes whose expression distinguishes patients at risk of t-ML, and suggests targets for assessing germline predisposition to leukemogenesis."}
{"STANDARD_NAME":"BILBAN_B_CLL_LPL_UP","SYSTEMATIC_NAME":"M19930","ORGANISM":"Homo sapiens","PMID":"16617321","AUTHORS":"Bilban M,Heintel D,Scharl T,Woelfel T,Auer MM,Porpaczy E,Kainz B,Kröber A,Carey VJ,Shehata M,Zielinski C,Pickl W,Stilgenbauer S,Gaiger A,Wagner O,Jäger U,LastName M","EXACT_SOURCE":"Table 1AS","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in B-CLL (B-cell chronic leukemia) samples expressing high levels of LPL [GeneID=4023] compared with those expressing low levels of the gene.","DESCRIPTION_FULL":"Lipoprotein lipase (LPL) is a prognostic marker in B-cell chronic lymphocytic leukemia (B-CLL) related to immunoglobulin V(H) gene (IgV(H))mutational status. We determined gene expression profiles using Affymetrix U133A GeneChips in two groups of B-CLLs selected for either high ('LPL+', n=10) or low ('LPL-', n=10) LPL mRNA expression. Selected genes were verified by real-time PCR in an extended patient cohort (n=42). A total of 111 genes discriminated LPL+ from LPL- B-CLLs. Of these, the top three genes associated with time to first treatment were Septin10, DMD and Gravin (P<\/=0.01). The relationship of LPL+ and LPL- B-CLL gene expression signatures to 52 tissues was statistically analyzed. The LPL+ B-CLL expression signature, represented by 64 genes was significantly related to fat, muscle and PB dendritic cells (P<0.001). Exploration of microarray data to define functional alterations related to the biology of LPL+ CLL identified two functional modules, fatty acid degradation and MTA3 signaling, as being altered with higher statistical significance. Our data show that LPL+ B-CLL cells have not only acquired gene expression changes in fat and muscle-associated genes but also in functional pathways related to fatty acid degradation and signaling which may ultimately influence CLL biology and clinical outcome."}
{"STANDARD_NAME":"BILBAN_B_CLL_LPL_DN","SYSTEMATIC_NAME":"M14940","ORGANISM":"Homo sapiens","PMID":"16617321","AUTHORS":"Bilban M,Heintel D,Scharl T,Woelfel T,Auer MM,Porpaczy E,Kainz B,Kröber A,Carey VJ,Shehata M,Zielinski C,Pickl W,Stilgenbauer S,Gaiger A,Wagner O,Jäger U,LastName M","EXACT_SOURCE":"Table 1BS","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in B-CLL (B-cell chronic leukemia) samples expressing high levels of LPL [GeneID=4023] compared with those expressing low levels of the gene.","DESCRIPTION_FULL":"Lipoprotein lipase (LPL) is a prognostic marker in B-cell chronic lymphocytic leukemia (B-CLL) related to immunoglobulin V(H) gene (IgV(H))mutational status. We determined gene expression profiles using Affymetrix U133A GeneChips in two groups of B-CLLs selected for either high ('LPL+', n=10) or low ('LPL-', n=10) LPL mRNA expression. Selected genes were verified by real-time PCR in an extended patient cohort (n=42). A total of 111 genes discriminated LPL+ from LPL- B-CLLs. Of these, the top three genes associated with time to first treatment were Septin10, DMD and Gravin (P<\/=0.01). The relationship of LPL+ and LPL- B-CLL gene expression signatures to 52 tissues was statistically analyzed. The LPL+ B-CLL expression signature, represented by 64 genes was significantly related to fat, muscle and PB dendritic cells (P<0.001). Exploration of microarray data to define functional alterations related to the biology of LPL+ CLL identified two functional modules, fatty acid degradation and MTA3 signaling, as being altered with higher statistical significance. Our data show that LPL+ B-CLL cells have not only acquired gene expression changes in fat and muscle-associated genes but also in functional pathways related to fatty acid degradation and signaling which may ultimately influence CLL biology and clinical outcome."}
{"STANDARD_NAME":"HOEBEKE_LYMPHOID_STEM_CELL_UP","SYSTEMATIC_NAME":"M14698","ORGANISM":"Homo sapiens","PMID":"17170726","AUTHORS":"Hoebeke I,De Smedt M,Stolz F,Pike-Overzet K,Staal FJ,Plum J,Leclercq G","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in the common lymphoid progenitor (CLP, defined as CD34+CD38-CD7+ [GeneID=947;952;924]) compared to a multipotent cord blood cell (defined as CD34+CD38+CD7-).","DESCRIPTION_FULL":"Hematopoietic stem cells in the bone marrow (BM) give rise to all blood cells. According to the classic model of hematopoiesis, the differentiation paths leading to the myeloid and lymphoid lineages segregate early. A candidate 'common lymphoid progenitor' (CLP) has been isolated from CD34(+)CD38(-) human cord blood cells based on CD7 expression. Here, we confirm the B- and NK-differentiation potential of CD34(+)CD38(-)CD7(+) cells and show in addition that this population has strong capacity to differentiate into T cells. As CD34(+)CD38(-)CD7(+) cells are virtually devoid of myeloid differentiation potential, these cells represent true CLPs. To unravel the molecular mechanisms underlying lymphoid commitment, we performed genome-wide gene expression profiling on sorted CD34(+)CD38(-)CD7(+) and CD34(+)CD38(-)CD7(-) cells. Interestingly, lymphoid-affiliated genes were mainly upregulated in the CD7(+) population, while myeloid-specific genes were downregulated. This supports the hypothesis that lineage commitment is accompanied by the shutdown of inappropriate gene expression and the upregulation of lineage-specific genes. In addition, we identified several highly expressed genes that have not been described in hematopoiesis before."}
{"STANDARD_NAME":"HOEBEKE_LYMPHOID_STEM_CELL_DN","SYSTEMATIC_NAME":"M7435","ORGANISM":"Homo sapiens","PMID":"17170726","AUTHORS":"Hoebeke I,De Smedt M,Stolz F,Pike-Overzet K,Staal FJ,Plum J,Leclercq G","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in the common lymphoid progenitor (CLP, defined as CD34+CD38-CD7+ [GeneID=947;952;924]) compared to a multipotent cord blood cell (defined as CD34+CD38+CD7-).","DESCRIPTION_FULL":"Hematopoietic stem cells in the bone marrow (BM) give rise to all blood cells. According to the classic model of hematopoiesis, the differentiation paths leading to the myeloid and lymphoid lineages segregate early. A candidate 'common lymphoid progenitor' (CLP) has been isolated from CD34(+)CD38(-) human cord blood cells based on CD7 expression. Here, we confirm the B- and NK-differentiation potential of CD34(+)CD38(-)CD7(+) cells and show in addition that this population has strong capacity to differentiate into T cells. As CD34(+)CD38(-)CD7(+) cells are virtually devoid of myeloid differentiation potential, these cells represent true CLPs. To unravel the molecular mechanisms underlying lymphoid commitment, we performed genome-wide gene expression profiling on sorted CD34(+)CD38(-)CD7(+) and CD34(+)CD38(-)CD7(-) cells. Interestingly, lymphoid-affiliated genes were mainly upregulated in the CD7(+) population, while myeloid-specific genes were downregulated. This supports the hypothesis that lineage commitment is accompanied by the shutdown of inappropriate gene expression and the upregulation of lineage-specific genes. In addition, we identified several highly expressed genes that have not been described in hematopoiesis before."}
{"STANDARD_NAME":"PEPPER_CHRONIC_LYMPHOCYTIC_LEUKEMIA_UP","SYSTEMATIC_NAME":"M3340","ORGANISM":"Homo sapiens","PMID":"17287849","AUTHORS":"Pepper C,Ward R,Lin TT,Brennan P,Starczynski J,Musson M,Rowntree C,Bentley P,Mills K,Pratt G,Fegan C","GEOID":"GSE6321","EXACT_SOURCE":"Table 1AS","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in CD38+ [GeneID=952] CLL (chronic lymphocytic leukemia) cells.","DESCRIPTION_FULL":"CD38 expression is an important prognostic marker in chronic lymphocytic leukemia (CLL) with high levels of CD38 associated with shorter overall survival. In this study, we used gene expression profiling and protein analysis of highly purified cell-sorted CD38(+) and CD38(-) chronic lymphocytic leukemia cells to elucidate a molecular basis for the association between CD38 expression and inferior clinical outcome. Paired CD38(+) and CD38(-) CLL cells derived from the same patient were shown to be monoclonal by V(H) gene sequencing but despite this, CD38(+) CLL cells possessed a distinct gene expression profile when compared with their CD38(-) sub-clones. Importantly, CD38(+) CLL cells relatively over expressed vascular endothelial growth factor (VEGF) and appeared to preferentially utilize an internal autocrine VEGF survival loop. Elevated VEGF expression was associated with increased expression of the anti-apoptotic protein Mcl-1. Inhibition of VEGF receptor signaling also resulted in a reduction in cell viability. In contrast, exogenous VEGF caused a significant increase in CD38(-) CLL cell viability and a marked induction of Mcl-1; both effects were less obvious in CD38(+) CLL cells. Taken together, our data provide a biological rationale for the poor prognosis of CD38(+) CLL and indicate that both VEGF and Mcl-1 may prove to be useful therapeutic targets."}
{"STANDARD_NAME":"PEPPER_CHRONIC_LYMPHOCYTIC_LEUKEMIA_DN","SYSTEMATIC_NAME":"M4038","ORGANISM":"Homo sapiens","PMID":"17287849","AUTHORS":"Pepper C,Ward R,Lin TT,Brennan P,Starczynski J,Musson M,Rowntree C,Bentley P,Mills K,Pratt G,Fegan C","GEOID":"GSE6321","EXACT_SOURCE":"Table 1BS","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in CD38+ [GeneID=952] CLL (chronic lymphocytic leukemia) cells.","DESCRIPTION_FULL":"CD38 expression is an important prognostic marker in chronic lymphocytic leukemia (CLL) with high levels of CD38 associated with shorter overall survival. In this study, we used gene expression profiling and protein analysis of highly purified cell-sorted CD38(+) and CD38(-) chronic lymphocytic leukemia cells to elucidate a molecular basis for the association between CD38 expression and inferior clinical outcome. Paired CD38(+) and CD38(-) CLL cells derived from the same patient were shown to be monoclonal by V(H) gene sequencing but despite this, CD38(+) CLL cells possessed a distinct gene expression profile when compared with their CD38(-) sub-clones. Importantly, CD38(+) CLL cells relatively over expressed vascular endothelial growth factor (VEGF) and appeared to preferentially utilize an internal autocrine VEGF survival loop. Elevated VEGF expression was associated with increased expression of the anti-apoptotic protein Mcl-1. Inhibition of VEGF receptor signaling also resulted in a reduction in cell viability. In contrast, exogenous VEGF caused a significant increase in CD38(-) CLL cell viability and a marked induction of Mcl-1; both effects were less obvious in CD38(+) CLL cells. Taken together, our data provide a biological rationale for the poor prognosis of CD38(+) CLL and indicate that both VEGF and Mcl-1 may prove to be useful therapeutic targets."}
{"STANDARD_NAME":"AKL_HTLV1_INFECTION_UP","SYSTEMATIC_NAME":"M7705","ORGANISM":"Homo sapiens","PMID":"17287851","AUTHORS":"Akl H,Badran BM,Zein NE,Bex F,Sotiriou C,Willard-Gallo KE,Burny A,Martiat P","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in WE17/10 cells (CD4+ [GeneID=920] T lymphocytes) infected by HTLV1 (and thus displaying low CD7 [GeneID=924]) compared to the uninfected (i.e., CD7+) cells.","DESCRIPTION_FULL":"Adult T-cell leukemia/lymphoma (ATLL) is a malignancy slowly emerging from human T-cell leukemia virus type 1 (HTLV-I)-infected mature CD4(+) T-cells. To characterize the molecular modifications induced by HTLV-I infection, we compared HTLV-I-infected WE17/10 cells with control cells, using micro-arrays. Many calcium-related genes were progressively downmodulated over a period of 2 years. Infected cells acquired a profound decrease of intracellular calcium levels in response to ionomycin, timely correlated with decreased CD7 expression. Focusing on apoptosis-related genes and their relationship with CD7, we observed an underexpression of most antiapoptotic genes. Western blotting revealed increasing Akt and Bad phosphorylation, timely correlated with CD7 loss. This was shown to be phosphatidylinositol 3-kinase (PI3K)-dependent. Activation of PI3K/Akt induced resistance to the apoptotic effect of interleukin-2 deprivation. We thus propose the following model: HTLV-I infection induces a progressive decrease in CD3 genes expression, which eventually abrogates CD3 expression; loss of CD3 is known to perturb calcium transport. This perturbation correlates with loss of CD7 expression and induction of Akt and Bad phosphorylation via activation of PI3K. The activation of the Akt/Bad pathway generates a progressive resistance to apoptosis, at a time HTLV-I genes expression is silenced, thus avoiding immune surveillance. This could be a major event in the process of the malignant transformation into ATLL."}
{"STANDARD_NAME":"AKL_HTLV1_INFECTION_DN","SYSTEMATIC_NAME":"M9815","ORGANISM":"Homo sapiens","PMID":"17287851","AUTHORS":"Akl H,Badran BM,Zein NE,Bex F,Sotiriou C,Willard-Gallo KE,Burny A,Martiat P","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in WE17/10 cells (CD4+ [GeneID=920] T lymphocytes) infected by HTLV1 (and thus displaying low CD7 [GeneID=924]) compared to the uninfected (i.e., CD7+) cells.","DESCRIPTION_FULL":"Adult T-cell leukemia/lymphoma (ATLL) is a malignancy slowly emerging from human T-cell leukemia virus type 1 (HTLV-I)-infected mature CD4(+) T-cells. To characterize the molecular modifications induced by HTLV-I infection, we compared HTLV-I-infected WE17/10 cells with control cells, using micro-arrays. Many calcium-related genes were progressively downmodulated over a period of 2 years. Infected cells acquired a profound decrease of intracellular calcium levels in response to ionomycin, timely correlated with decreased CD7 expression. Focusing on apoptosis-related genes and their relationship with CD7, we observed an underexpression of most antiapoptotic genes. Western blotting revealed increasing Akt and Bad phosphorylation, timely correlated with CD7 loss. This was shown to be phosphatidylinositol 3-kinase (PI3K)-dependent. Activation of PI3K/Akt induced resistance to the apoptotic effect of interleukin-2 deprivation. We thus propose the following model: HTLV-I infection induces a progressive decrease in CD3 genes expression, which eventually abrogates CD3 expression; loss of CD3 is known to perturb calcium transport. This perturbation correlates with loss of CD7 expression and induction of Akt and Bad phosphorylation via activation of PI3K. The activation of the Akt/Bad pathway generates a progressive resistance to apoptosis, at a time HTLV-I genes expression is silenced, thus avoiding immune surveillance. This could be a major event in the process of the malignant transformation into ATLL."}
{"STANDARD_NAME":"RHEIN_ALL_GLUCOCORTICOID_THERAPY_UP","SYSTEMATIC_NAME":"M12784","ORGANISM":"Homo sapiens","PMID":"17330098","AUTHORS":"Rhein P,Scheid S,Ratei R,Hagemeier C,Seeger K,Kirschner-Schwabe R,Moericke A,Schrappe M,Spang R,Ludwig WD,Karawajew L","EXACT_SOURCE":"Table 3S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in ALL (acute lymphoblastic leukemia) blasts after 1 week of treatment with glucocorticoids.","DESCRIPTION_FULL":"In childhood acute lymphoblastic leukemia (ALL), persistence of leukemic blasts during therapy is of crucial prognostic significance. In the present study, we address molecular and cell biologic features of blasts persisting after 1 week of induction glucocorticoid therapy. Genome-wide gene expression analysis of leukemic samples from precursor B-cell ALL patients (n=18) identified a set of genes differentially expressed in blasts at diagnosis day 0 (d0) and persisting on day 8 (d8). Expression changes indicate a shift towards mature B cells, inhibition of cell cycling and increased expression of adhesion (CD11b/ITGAM) and cytokine (CD119/IFNGR1) receptors. A direct comparison with normal B cells, which are largely therapy resistant, confirmed the differentiation shift at the mRNA (n=10) and protein (n=109) levels. Flow cytometric analysis in independent cohorts of patients confirmed both a decreased proliferative activity (n=13) and the upregulation of CD11b and CD119 (n=29) in d8 blasts. The differentiation shift and low proliferative activity in d8 blasts may account for the persistence of blasts during therapy and affect their sensitivity to further therapeutic treatment. CD11b and CD119 are potential specific markers for d8 blast persistence and detection of minimal residual disease, which warrant further investigation."}
{"STANDARD_NAME":"MULLIGHAN_NPM1_MUTATED_SIGNATURE_1_UP","SYSTEMATIC_NAME":"M19170","ORGANISM":"Homo sapiens","PMID":"17597811","AUTHORS":"Mullighan CG,Kennedy A,Zhou X,Radtke I,Phillips LA,Shurtleff SA,Downing JR","EXACT_SOURCE":"Table 2S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"The 'NPM1-mutated signature 1': genes up-regulated in pediatric AML (acute myeloid leukemia) samples with mutated NPM1 [GeneID=4869] compared to all AML cases with the intact gene.","DESCRIPTION_FULL":"Somatic mutations in nucleophosmin (NPM1) occur in approximately 35% of adult acute myeloid leukemia (AML). To assess the frequency of NPM1 mutations in pediatric AML, we sequenced NPM1 in the diagnostic blasts from 93 pediatric AML patients. Six cases harbored NPM1 mutations, with each case lacking common cytogenetic abnormalities. To explore the phenotype of the AMLs with NPM1 mutations, gene expression profiles were obtained using Affymetrix U133A microarrays. NPM1 mutations were associated with increased expression of multiple homeobox genes including HOXA9, A10, B2, B6 and MEIS1. As dysregulated homeobox gene expression is also a feature of MLL-rearranged leukemia, the gene expression signatures of NPM1-mutated and MLL-rearranged leukemias were compared. Significant differences were identified between these leukemia subtypes including the expression of different HOX genes, with NPM1-mutated AML showing higher levels of expression of HOXB2, B3, B6 and D4. These results confirm recent reports of perturbed HOX expression in NPM1-mutated adult AML, and provide the first evidence that the NPM1-mutated signature is distinct from MLL-rearranged AML. These findings suggest that mutated NPM1 leads to dysregulated HOX expression via a different mechanism than MLL rearrangement."}
{"STANDARD_NAME":"MULLIGHAN_NPM1_MUTATED_SIGNATURE_1_DN","SYSTEMATIC_NAME":"M19629","ORGANISM":"Homo sapiens","PMID":"17597811","AUTHORS":"Mullighan CG,Kennedy A,Zhou X,Radtke I,Phillips LA,Shurtleff SA,Downing JR","EXACT_SOURCE":"Table 2S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"The 'NPM1-mutated signature 1': genes down-regulated in pediatric AML (acute myeloid leukemia) samples with mutated NPM1 [GeneID=4869] compared to all AML cases with the intact gene.","DESCRIPTION_FULL":"Somatic mutations in nucleophosmin (NPM1) occur in approximately 35% of adult acute myeloid leukemia (AML). To assess the frequency of NPM1 mutations in pediatric AML, we sequenced NPM1 in the diagnostic blasts from 93 pediatric AML patients. Six cases harbored NPM1 mutations, with each case lacking common cytogenetic abnormalities. To explore the phenotype of the AMLs with NPM1 mutations, gene expression profiles were obtained using Affymetrix U133A microarrays. NPM1 mutations were associated with increased expression of multiple homeobox genes including HOXA9, A10, B2, B6 and MEIS1. As dysregulated homeobox gene expression is also a feature of MLL-rearranged leukemia, the gene expression signatures of NPM1-mutated and MLL-rearranged leukemias were compared. Significant differences were identified between these leukemia subtypes including the expression of different HOX genes, with NPM1-mutated AML showing higher levels of expression of HOXB2, B3, B6 and D4. These results confirm recent reports of perturbed HOX expression in NPM1-mutated adult AML, and provide the first evidence that the NPM1-mutated signature is distinct from MLL-rearranged AML. These findings suggest that mutated NPM1 leads to dysregulated HOX expression via a different mechanism than MLL rearrangement."}
{"STANDARD_NAME":"MULLIGHAN_NPM1_MUTATED_SIGNATURE_2_UP","SYSTEMATIC_NAME":"M6590","ORGANISM":"Homo sapiens","PMID":"17597811","AUTHORS":"Mullighan CG,Kennedy A,Zhou X,Radtke I,Phillips LA,Shurtleff SA,Downing JR","EXACT_SOURCE":"Table 3S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"The 'NPM1-mutated signature 2': genes up-regulated in pediatric AML (acute myeloid leukemia) samples with mutated NPM1 [GeneID=4869] compared to the AML cases with the intact gene and without recurring cytogenetic anomalities or M7 phenotype.","DESCRIPTION_FULL":"Somatic mutations in nucleophosmin (NPM1) occur in approximately 35% of adult acute myeloid leukemia (AML). To assess the frequency of NPM1 mutations in pediatric AML, we sequenced NPM1 in the diagnostic blasts from 93 pediatric AML patients. Six cases harbored NPM1 mutations, with each case lacking common cytogenetic abnormalities. To explore the phenotype of the AMLs with NPM1 mutations, gene expression profiles were obtained using Affymetrix U133A microarrays. NPM1 mutations were associated with increased expression of multiple homeobox genes including HOXA9, A10, B2, B6 and MEIS1. As dysregulated homeobox gene expression is also a feature of MLL-rearranged leukemia, the gene expression signatures of NPM1-mutated and MLL-rearranged leukemias were compared. Significant differences were identified between these leukemia subtypes including the expression of different HOX genes, with NPM1-mutated AML showing higher levels of expression of HOXB2, B3, B6 and D4. These results confirm recent reports of perturbed HOX expression in NPM1-mutated adult AML, and provide the first evidence that the NPM1-mutated signature is distinct from MLL-rearranged AML. These findings suggest that mutated NPM1 leads to dysregulated HOX expression via a different mechanism than MLL rearrangement."}
{"STANDARD_NAME":"MULLIGHAN_NPM1_MUTATED_SIGNATURE_2_DN","SYSTEMATIC_NAME":"M8315","ORGANISM":"Homo sapiens","PMID":"17597811","AUTHORS":"Mullighan CG,Kennedy A,Zhou X,Radtke I,Phillips LA,Shurtleff SA,Downing JR","EXACT_SOURCE":"Table 3S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"The 'NPM1-mutated signature 2': genes down-regulated in pediatric AML (acute myeloid leukemia) samples with mutated NPM1 [GeneID=4869] compared to the AML cases with the intact gene and without recurring cytogenetic anomalities or M7 phenotype.","DESCRIPTION_FULL":"Somatic mutations in nucleophosmin (NPM1) occur in approximately 35% of adult acute myeloid leukemia (AML). To assess the frequency of NPM1 mutations in pediatric AML, we sequenced NPM1 in the diagnostic blasts from 93 pediatric AML patients. Six cases harbored NPM1 mutations, with each case lacking common cytogenetic abnormalities. To explore the phenotype of the AMLs with NPM1 mutations, gene expression profiles were obtained using Affymetrix U133A microarrays. NPM1 mutations were associated with increased expression of multiple homeobox genes including HOXA9, A10, B2, B6 and MEIS1. As dysregulated homeobox gene expression is also a feature of MLL-rearranged leukemia, the gene expression signatures of NPM1-mutated and MLL-rearranged leukemias were compared. Significant differences were identified between these leukemia subtypes including the expression of different HOX genes, with NPM1-mutated AML showing higher levels of expression of HOXB2, B3, B6 and D4. These results confirm recent reports of perturbed HOX expression in NPM1-mutated adult AML, and provide the first evidence that the NPM1-mutated signature is distinct from MLL-rearranged AML. These findings suggest that mutated NPM1 leads to dysregulated HOX expression via a different mechanism than MLL rearrangement."}
{"STANDARD_NAME":"MULLIGHAN_MLL_SIGNATURE_1_UP","SYSTEMATIC_NAME":"M17856","ORGANISM":"Homo sapiens","PMID":"17597811","AUTHORS":"Mullighan CG,Kennedy A,Zhou X,Radtke I,Phillips LA,Shurtleff SA,Downing JR","EXACT_SOURCE":"Table 5S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"The 'MLL signature 1': genes up-regulated in pediatric AML (acute myeloid leukemia) with rearranged MLL [GeneID=4297] compared to all AML cases with the intact gene.","DESCRIPTION_FULL":"Somatic mutations in nucleophosmin (NPM1) occur in approximately 35% of adult acute myeloid leukemia (AML). To assess the frequency of NPM1 mutations in pediatric AML, we sequenced NPM1 in the diagnostic blasts from 93 pediatric AML patients. Six cases harbored NPM1 mutations, with each case lacking common cytogenetic abnormalities. To explore the phenotype of the AMLs with NPM1 mutations, gene expression profiles were obtained using Affymetrix U133A microarrays. NPM1 mutations were associated with increased expression of multiple homeobox genes including HOXA9, A10, B2, B6 and MEIS1. As dysregulated homeobox gene expression is also a feature of MLL-rearranged leukemia, the gene expression signatures of NPM1-mutated and MLL-rearranged leukemias were compared. Significant differences were identified between these leukemia subtypes including the expression of different HOX genes, with NPM1-mutated AML showing higher levels of expression of HOXB2, B3, B6 and D4. These results confirm recent reports of perturbed HOX expression in NPM1-mutated adult AML, and provide the first evidence that the NPM1-mutated signature is distinct from MLL-rearranged AML. These findings suggest that mutated NPM1 leads to dysregulated HOX expression via a different mechanism than MLL rearrangement."}
{"STANDARD_NAME":"MULLIGHAN_MLL_SIGNATURE_1_DN","SYSTEMATIC_NAME":"M18841","ORGANISM":"Homo sapiens","PMID":"17597811","AUTHORS":"Mullighan CG,Kennedy A,Zhou X,Radtke I,Phillips LA,Shurtleff SA,Downing JR","EXACT_SOURCE":"Table 5S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"The 'MLL signature 1': genes down-regulated in pediatric AML (acute myeloid leukemia) with rearranged MLL [GeneID=4297] compared to all AML cases with the intact gene.","DESCRIPTION_FULL":"Somatic mutations in nucleophosmin (NPM1) occur in approximately 35% of adult acute myeloid leukemia (AML). To assess the frequency of NPM1 mutations in pediatric AML, we sequenced NPM1 in the diagnostic blasts from 93 pediatric AML patients. Six cases harbored NPM1 mutations, with each case lacking common cytogenetic abnormalities. To explore the phenotype of the AMLs with NPM1 mutations, gene expression profiles were obtained using Affymetrix U133A microarrays. NPM1 mutations were associated with increased expression of multiple homeobox genes including HOXA9, A10, B2, B6 and MEIS1. As dysregulated homeobox gene expression is also a feature of MLL-rearranged leukemia, the gene expression signatures of NPM1-mutated and MLL-rearranged leukemias were compared. Significant differences were identified between these leukemia subtypes including the expression of different HOX genes, with NPM1-mutated AML showing higher levels of expression of HOXB2, B3, B6 and D4. These results confirm recent reports of perturbed HOX expression in NPM1-mutated adult AML, and provide the first evidence that the NPM1-mutated signature is distinct from MLL-rearranged AML. These findings suggest that mutated NPM1 leads to dysregulated HOX expression via a different mechanism than MLL rearrangement."}
{"STANDARD_NAME":"MULLIGHAN_MLL_SIGNATURE_2_UP","SYSTEMATIC_NAME":"M3053","ORGANISM":"Homo sapiens","PMID":"17597811","AUTHORS":"Mullighan CG,Kennedy A,Zhou X,Radtke I,Phillips LA,Shurtleff SA,Downing JR","EXACT_SOURCE":"Table 6S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"The 'MLL signature 2': genes up-regulated in pediatric AML (acute myeloid leukemia) with rearranged MLL [GeneID=4297] compared to the AML cases with intact MLL and NPM1 [GeneID=4869].","DESCRIPTION_FULL":"Somatic mutations in nucleophosmin (NPM1) occur in approximately 35% of adult acute myeloid leukemia (AML). To assess the frequency of NPM1 mutations in pediatric AML, we sequenced NPM1 in the diagnostic blasts from 93 pediatric AML patients. Six cases harbored NPM1 mutations, with each case lacking common cytogenetic abnormalities. To explore the phenotype of the AMLs with NPM1 mutations, gene expression profiles were obtained using Affymetrix U133A microarrays. NPM1 mutations were associated with increased expression of multiple homeobox genes including HOXA9, A10, B2, B6 and MEIS1. As dysregulated homeobox gene expression is also a feature of MLL-rearranged leukemia, the gene expression signatures of NPM1-mutated and MLL-rearranged leukemias were compared. Significant differences were identified between these leukemia subtypes including the expression of different HOX genes, with NPM1-mutated AML showing higher levels of expression of HOXB2, B3, B6 and D4. These results confirm recent reports of perturbed HOX expression in NPM1-mutated adult AML, and provide the first evidence that the NPM1-mutated signature is distinct from MLL-rearranged AML. These findings suggest that mutated NPM1 leads to dysregulated HOX expression via a different mechanism than MLL rearrangement."}
{"STANDARD_NAME":"MULLIGHAN_MLL_SIGNATURE_2_DN","SYSTEMATIC_NAME":"M16867","ORGANISM":"Homo sapiens","PMID":"17597811","AUTHORS":"Mullighan CG,Kennedy A,Zhou X,Radtke I,Phillips LA,Shurtleff SA,Downing JR","EXACT_SOURCE":"Table 6S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"The 'MLL signature 2': genes down-regulated in pediatric AML (acute myeloid leukemia) with rearranged MLL [GeneID=4297] compared to the AML cases with intact MLL and NPM1 [GeneID=4869].","DESCRIPTION_FULL":"Somatic mutations in nucleophosmin (NPM1) occur in approximately 35% of adult acute myeloid leukemia (AML). To assess the frequency of NPM1 mutations in pediatric AML, we sequenced NPM1 in the diagnostic blasts from 93 pediatric AML patients. Six cases harbored NPM1 mutations, with each case lacking common cytogenetic abnormalities. To explore the phenotype of the AMLs with NPM1 mutations, gene expression profiles were obtained using Affymetrix U133A microarrays. NPM1 mutations were associated with increased expression of multiple homeobox genes including HOXA9, A10, B2, B6 and MEIS1. As dysregulated homeobox gene expression is also a feature of MLL-rearranged leukemia, the gene expression signatures of NPM1-mutated and MLL-rearranged leukemias were compared. Significant differences were identified between these leukemia subtypes including the expression of different HOX genes, with NPM1-mutated AML showing higher levels of expression of HOXB2, B3, B6 and D4. These results confirm recent reports of perturbed HOX expression in NPM1-mutated adult AML, and provide the first evidence that the NPM1-mutated signature is distinct from MLL-rearranged AML. These findings suggest that mutated NPM1 leads to dysregulated HOX expression via a different mechanism than MLL rearrangement."}
{"STANDARD_NAME":"MULLIGHAN_NPM1_SIGNATURE_3_UP","SYSTEMATIC_NAME":"M10277","ORGANISM":"Homo sapiens","PMID":"17597811","AUTHORS":"Mullighan CG,Kennedy A,Zhou X,Radtke I,Phillips LA,Shurtleff SA,Downing JR","EXACT_SOURCE":"Table 7S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"The 'NPM1 signature 3': genes up-regulated in pediatric AML (acute myeloid leukemia) with mutated NPM1 [GeneID=4869] compared to the AML cases with intact NPM1 and MLL [GeneID=4297].","DESCRIPTION_FULL":"Somatic mutations in nucleophosmin (NPM1) occur in approximately 35% of adult acute myeloid leukemia (AML). To assess the frequency of NPM1 mutations in pediatric AML, we sequenced NPM1 in the diagnostic blasts from 93 pediatric AML patients. Six cases harbored NPM1 mutations, with each case lacking common cytogenetic abnormalities. To explore the phenotype of the AMLs with NPM1 mutations, gene expression profiles were obtained using Affymetrix U133A microarrays. NPM1 mutations were associated with increased expression of multiple homeobox genes including HOXA9, A10, B2, B6 and MEIS1. As dysregulated homeobox gene expression is also a feature of MLL-rearranged leukemia, the gene expression signatures of NPM1-mutated and MLL-rearranged leukemias were compared. Significant differences were identified between these leukemia subtypes including the expression of different HOX genes, with NPM1-mutated AML showing higher levels of expression of HOXB2, B3, B6 and D4. These results confirm recent reports of perturbed HOX expression in NPM1-mutated adult AML, and provide the first evidence that the NPM1-mutated signature is distinct from MLL-rearranged AML. These findings suggest that mutated NPM1 leads to dysregulated HOX expression via a different mechanism than MLL rearrangement."}
{"STANDARD_NAME":"MULLIGHAN_NPM1_SIGNATURE_3_DN","SYSTEMATIC_NAME":"M15047","ORGANISM":"Homo sapiens","PMID":"17597811","AUTHORS":"Mullighan CG,Kennedy A,Zhou X,Radtke I,Phillips LA,Shurtleff SA,Downing JR","EXACT_SOURCE":"Table 7S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"The 'NPM1 signature 3': genes down-regulated in pediatric AML (acute myeloid leukemia) with mutated NPM1 [GeneID=4869] compared to the AML cases with intact NPM1 and MLL [GeneID=4297].","DESCRIPTION_FULL":"Somatic mutations in nucleophosmin (NPM1) occur in approximately 35% of adult acute myeloid leukemia (AML). To assess the frequency of NPM1 mutations in pediatric AML, we sequenced NPM1 in the diagnostic blasts from 93 pediatric AML patients. Six cases harbored NPM1 mutations, with each case lacking common cytogenetic abnormalities. To explore the phenotype of the AMLs with NPM1 mutations, gene expression profiles were obtained using Affymetrix U133A microarrays. NPM1 mutations were associated with increased expression of multiple homeobox genes including HOXA9, A10, B2, B6 and MEIS1. As dysregulated homeobox gene expression is also a feature of MLL-rearranged leukemia, the gene expression signatures of NPM1-mutated and MLL-rearranged leukemias were compared. Significant differences were identified between these leukemia subtypes including the expression of different HOX genes, with NPM1-mutated AML showing higher levels of expression of HOXB2, B3, B6 and D4. These results confirm recent reports of perturbed HOX expression in NPM1-mutated adult AML, and provide the first evidence that the NPM1-mutated signature is distinct from MLL-rearranged AML. These findings suggest that mutated NPM1 leads to dysregulated HOX expression via a different mechanism than MLL rearrangement."}
{"STANDARD_NAME":"TONKS_TARGETS_OF_RUNX1_RUNX1T1_FUSION_SUSTAINED_IN_GRANULOCYTE_UP","SYSTEMATIC_NAME":"M5395","ORGANISM":"Homo sapiens","PMID":"17898786","AUTHORS":"Tonks A,Pearn L,Musson M,Gilkes A,Mills KI,Burnett AK,Darley RL","GEOID":"E-MEXP-583","EXACT_SOURCE":"Table 1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated by RUNX1-RUNX1T1 [GeneID=861;862] fusion protein in normal hematopoietic progenitors; their expression was sustained in subsequently developing granulocytes.","DESCRIPTION_FULL":"The t(8;21)(q22;q22) occurs frequently in acute myelogenous leukaemia and gives rise to the transcription factor fusion protein, RUNX1-RUNX1T1 (also known as AML1-ETO). To identify the genes dysregulated by the aberrant transcriptional activity of RUNX1-RUNX1T1, we used microarrays to determine the effect of this mutation on gene expression in human progenitor cells and during subsequent development. Gene signatures of these developmental subsets were very dissimilar indicating that effects of RUNX1-RUNX1T1 are highly context dependent. We focused on gene changes associated with the granulocytic lineage and identified a clinically relevant subset of these by comparison with 235 leukaemia patient transcriptional signatures. We confirmed the overexpression of a number of significant genes (Sox4, IL-17BR, CD200 and gamma-catenin). Further, we show that overexpression of CD200 and gamma-catenin is also associated with the inv(16) abnormality which like RUNX1-RUNX1T1 disrupts core binding factor activity. We investigated the functional significance of CD200 and gamma-catenin overexpression in normal human progenitor cells. The effect of IL17 on growth was also assessed. Individually, none of these changes were sufficient to recapitulate the effects of RUNX1-RUNX1T1 on normal development. These data provide the most comprehensive and pertinent assessment of the effect of RUNX1-RUNX1T1 on gene expression and demonstrate the highly context-dependent effects of this fusion gene."}
{"STANDARD_NAME":"TONKS_TARGETS_OF_RUNX1_RUNX1T1_FUSION_SUSTAINED_IN_GRANULOCYTE_DN","SYSTEMATIC_NAME":"M6161","ORGANISM":"Homo sapiens","PMID":"17898786","AUTHORS":"Tonks A,Pearn L,Musson M,Gilkes A,Mills KI,Burnett AK,Darley RL","GEOID":"E-MEXP-583","EXACT_SOURCE":"Table 1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated by RUNX1-RUNX1T1 [GeneID=861;862] fusion protein in normal hematopoietic progenitors; their expression was sustained in subsequently developing granulocytes.","DESCRIPTION_FULL":"The t(8;21)(q22;q22) occurs frequently in acute myelogenous leukaemia and gives rise to the transcription factor fusion protein, RUNX1-RUNX1T1 (also known as AML1-ETO). To identify the genes dysregulated by the aberrant transcriptional activity of RUNX1-RUNX1T1, we used microarrays to determine the effect of this mutation on gene expression in human progenitor cells and during subsequent development. Gene signatures of these developmental subsets were very dissimilar indicating that effects of RUNX1-RUNX1T1 are highly context dependent. We focused on gene changes associated with the granulocytic lineage and identified a clinically relevant subset of these by comparison with 235 leukaemia patient transcriptional signatures. We confirmed the overexpression of a number of significant genes (Sox4, IL-17BR, CD200 and gamma-catenin). Further, we show that overexpression of CD200 and gamma-catenin is also associated with the inv(16) abnormality which like RUNX1-RUNX1T1 disrupts core binding factor activity. We investigated the functional significance of CD200 and gamma-catenin overexpression in normal human progenitor cells. The effect of IL17 on growth was also assessed. Individually, none of these changes were sufficient to recapitulate the effects of RUNX1-RUNX1T1 on normal development. These data provide the most comprehensive and pertinent assessment of the effect of RUNX1-RUNX1T1 on gene expression and demonstrate the highly context-dependent effects of this fusion gene."}
{"STANDARD_NAME":"TONKS_TARGETS_OF_RUNX1_RUNX1T1_FUSION_HSC_UP","SYSTEMATIC_NAME":"M3804","ORGANISM":"Homo sapiens","PMID":"17898786","AUTHORS":"Tonks A,Pearn L,Musson M,Gilkes A,Mills KI,Burnett AK,Darley RL","GEOID":"E-MEXP-583","EXACT_SOURCE":"Table 2S: list 1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in normal hematopoietic progenitors by RUNX1-RUNX1T1 [GeneID=861;862] fusion.","DESCRIPTION_FULL":"The t(8;21)(q22;q22) occurs frequently in acute myelogenous leukaemia and gives rise to the transcription factor fusion protein, RUNX1-RUNX1T1 (also known as AML1-ETO). To identify the genes dysregulated by the aberrant transcriptional activity of RUNX1-RUNX1T1, we used microarrays to determine the effect of this mutation on gene expression in human progenitor cells and during subsequent development. Gene signatures of these developmental subsets were very dissimilar indicating that effects of RUNX1-RUNX1T1 are highly context dependent. We focused on gene changes associated with the granulocytic lineage and identified a clinically relevant subset of these by comparison with 235 leukaemia patient transcriptional signatures. We confirmed the overexpression of a number of significant genes (Sox4, IL-17BR, CD200 and gamma-catenin). Further, we show that overexpression of CD200 and gamma-catenin is also associated with the inv(16) abnormality which like RUNX1-RUNX1T1 disrupts core binding factor activity. We investigated the functional significance of CD200 and gamma-catenin overexpression in normal human progenitor cells. The effect of IL17 on growth was also assessed. Individually, none of these changes were sufficient to recapitulate the effects of RUNX1-RUNX1T1 on normal development. These data provide the most comprehensive and pertinent assessment of the effect of RUNX1-RUNX1T1 on gene expression and demonstrate the highly context-dependent effects of this fusion gene."}
{"STANDARD_NAME":"TONKS_TARGETS_OF_RUNX1_RUNX1T1_FUSION_GRANULOCYTE_UP","SYSTEMATIC_NAME":"M4661","ORGANISM":"Homo sapiens","PMID":"17898786","AUTHORS":"Tonks A,Pearn L,Musson M,Gilkes A,Mills KI,Burnett AK,Darley RL","GEOID":"E-MEXP-583","EXACT_SOURCE":"Table 2S: list 2","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in granulocytes by RUNX1-RUNX1T1 [GeneID=861;862] fusion.","DESCRIPTION_FULL":"The t(8;21)(q22;q22) occurs frequently in acute myelogenous leukaemia and gives rise to the transcription factor fusion protein, RUNX1-RUNX1T1 (also known as AML1-ETO). To identify the genes dysregulated by the aberrant transcriptional activity of RUNX1-RUNX1T1, we used microarrays to determine the effect of this mutation on gene expression in human progenitor cells and during subsequent development. Gene signatures of these developmental subsets were very dissimilar indicating that effects of RUNX1-RUNX1T1 are highly context dependent. We focused on gene changes associated with the granulocytic lineage and identified a clinically relevant subset of these by comparison with 235 leukaemia patient transcriptional signatures. We confirmed the overexpression of a number of significant genes (Sox4, IL-17BR, CD200 and gamma-catenin). Further, we show that overexpression of CD200 and gamma-catenin is also associated with the inv(16) abnormality which like RUNX1-RUNX1T1 disrupts core binding factor activity. We investigated the functional significance of CD200 and gamma-catenin overexpression in normal human progenitor cells. The effect of IL17 on growth was also assessed. Individually, none of these changes were sufficient to recapitulate the effects of RUNX1-RUNX1T1 on normal development. These data provide the most comprehensive and pertinent assessment of the effect of RUNX1-RUNX1T1 on gene expression and demonstrate the highly context-dependent effects of this fusion gene."}
{"STANDARD_NAME":"TONKS_TARGETS_OF_RUNX1_RUNX1T1_FUSION_GRANULOCYTE_DN","SYSTEMATIC_NAME":"M17148","ORGANISM":"Homo sapiens","PMID":"17898786","AUTHORS":"Tonks A,Pearn L,Musson M,Gilkes A,Mills KI,Burnett AK,Darley RL","GEOID":"E-MEXP-583","EXACT_SOURCE":"Table 2S: list 2","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in granulocytes by RUNX1-RUNX1T1 [GeneID=861;862] fusion.","DESCRIPTION_FULL":"The t(8;21)(q22;q22) occurs frequently in acute myelogenous leukaemia and gives rise to the transcription factor fusion protein, RUNX1-RUNX1T1 (also known as AML1-ETO). To identify the genes dysregulated by the aberrant transcriptional activity of RUNX1-RUNX1T1, we used microarrays to determine the effect of this mutation on gene expression in human progenitor cells and during subsequent development. Gene signatures of these developmental subsets were very dissimilar indicating that effects of RUNX1-RUNX1T1 are highly context dependent. We focused on gene changes associated with the granulocytic lineage and identified a clinically relevant subset of these by comparison with 235 leukaemia patient transcriptional signatures. We confirmed the overexpression of a number of significant genes (Sox4, IL-17BR, CD200 and gamma-catenin). Further, we show that overexpression of CD200 and gamma-catenin is also associated with the inv(16) abnormality which like RUNX1-RUNX1T1 disrupts core binding factor activity. We investigated the functional significance of CD200 and gamma-catenin overexpression in normal human progenitor cells. The effect of IL17 on growth was also assessed. Individually, none of these changes were sufficient to recapitulate the effects of RUNX1-RUNX1T1 on normal development. These data provide the most comprehensive and pertinent assessment of the effect of RUNX1-RUNX1T1 on gene expression and demonstrate the highly context-dependent effects of this fusion gene."}
{"STANDARD_NAME":"TONKS_TARGETS_OF_RUNX1_RUNX1T1_FUSION_MONOCYTE_UP","SYSTEMATIC_NAME":"M10184","ORGANISM":"Homo sapiens","PMID":"17898786","AUTHORS":"Tonks A,Pearn L,Musson M,Gilkes A,Mills KI,Burnett AK,Darley RL","GEOID":"E-MEXP-583","EXACT_SOURCE":"Table 2S: list 3","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in monocytes by RUNX1-RUNX1T1 [GeneID=861;862] fusion.","DESCRIPTION_FULL":"The t(8;21)(q22;q22) occurs frequently in acute myelogenous leukaemia and gives rise to the transcription factor fusion protein, RUNX1-RUNX1T1 (also known as AML1-ETO). To identify the genes dysregulated by the aberrant transcriptional activity of RUNX1-RUNX1T1, we used microarrays to determine the effect of this mutation on gene expression in human progenitor cells and during subsequent development. Gene signatures of these developmental subsets were very dissimilar indicating that effects of RUNX1-RUNX1T1 are highly context dependent. We focused on gene changes associated with the granulocytic lineage and identified a clinically relevant subset of these by comparison with 235 leukaemia patient transcriptional signatures. We confirmed the overexpression of a number of significant genes (Sox4, IL-17BR, CD200 and gamma-catenin). Further, we show that overexpression of CD200 and gamma-catenin is also associated with the inv(16) abnormality which like RUNX1-RUNX1T1 disrupts core binding factor activity. We investigated the functional significance of CD200 and gamma-catenin overexpression in normal human progenitor cells. The effect of IL17 on growth was also assessed. Individually, none of these changes were sufficient to recapitulate the effects of RUNX1-RUNX1T1 on normal development. These data provide the most comprehensive and pertinent assessment of the effect of RUNX1-RUNX1T1 on gene expression and demonstrate the highly context-dependent effects of this fusion gene."}
{"STANDARD_NAME":"TONKS_TARGETS_OF_RUNX1_RUNX1T1_FUSION_MONOCYTE_DN","SYSTEMATIC_NAME":"M14036","ORGANISM":"Homo sapiens","PMID":"17898786","AUTHORS":"Tonks A,Pearn L,Musson M,Gilkes A,Mills KI,Burnett AK,Darley RL","GEOID":"E-MEXP-583","EXACT_SOURCE":"Table 2S: list 3","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in monocytes by RUNX1-RUNX1T1 [GeneID=861;862] fusion.","DESCRIPTION_FULL":"The t(8;21)(q22;q22) occurs frequently in acute myelogenous leukaemia and gives rise to the transcription factor fusion protein, RUNX1-RUNX1T1 (also known as AML1-ETO). To identify the genes dysregulated by the aberrant transcriptional activity of RUNX1-RUNX1T1, we used microarrays to determine the effect of this mutation on gene expression in human progenitor cells and during subsequent development. Gene signatures of these developmental subsets were very dissimilar indicating that effects of RUNX1-RUNX1T1 are highly context dependent. We focused on gene changes associated with the granulocytic lineage and identified a clinically relevant subset of these by comparison with 235 leukaemia patient transcriptional signatures. We confirmed the overexpression of a number of significant genes (Sox4, IL-17BR, CD200 and gamma-catenin). Further, we show that overexpression of CD200 and gamma-catenin is also associated with the inv(16) abnormality which like RUNX1-RUNX1T1 disrupts core binding factor activity. We investigated the functional significance of CD200 and gamma-catenin overexpression in normal human progenitor cells. The effect of IL17 on growth was also assessed. Individually, none of these changes were sufficient to recapitulate the effects of RUNX1-RUNX1T1 on normal development. These data provide the most comprehensive and pertinent assessment of the effect of RUNX1-RUNX1T1 on gene expression and demonstrate the highly context-dependent effects of this fusion gene."}
{"STANDARD_NAME":"TONKS_TARGETS_OF_RUNX1_RUNX1T1_FUSION_ERYTHROCYTE_UP","SYSTEMATIC_NAME":"M12138","ORGANISM":"Homo sapiens","PMID":"17898786","AUTHORS":"Tonks A,Pearn L,Musson M,Gilkes A,Mills KI,Burnett AK,Darley RL","GEOID":"E-MEXP-583","EXACT_SOURCE":"Table 2S: list 4","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in erythroid lineage cells by RUNX1-RUNX1T1 [GeneID=861;862] fusion .","DESCRIPTION_FULL":"The t(8;21)(q22;q22) occurs frequently in acute myelogenous leukaemia and gives rise to the transcription factor fusion protein, RUNX1-RUNX1T1 (also known as AML1-ETO). To identify the genes dysregulated by the aberrant transcriptional activity of RUNX1-RUNX1T1, we used microarrays to determine the effect of this mutation on gene expression in human progenitor cells and during subsequent development. Gene signatures of these developmental subsets were very dissimilar indicating that effects of RUNX1-RUNX1T1 are highly context dependent. We focused on gene changes associated with the granulocytic lineage and identified a clinically relevant subset of these by comparison with 235 leukaemia patient transcriptional signatures. We confirmed the overexpression of a number of significant genes (Sox4, IL-17BR, CD200 and gamma-catenin). Further, we show that overexpression of CD200 and gamma-catenin is also associated with the inv(16) abnormality which like RUNX1-RUNX1T1 disrupts core binding factor activity. We investigated the functional significance of CD200 and gamma-catenin overexpression in normal human progenitor cells. The effect of IL17 on growth was also assessed. Individually, none of these changes were sufficient to recapitulate the effects of RUNX1-RUNX1T1 on normal development. These data provide the most comprehensive and pertinent assessment of the effect of RUNX1-RUNX1T1 on gene expression and demonstrate the highly context-dependent effects of this fusion gene."}
{"STANDARD_NAME":"TONKS_TARGETS_OF_RUNX1_RUNX1T1_FUSION_ERYTHROCYTE_DN","SYSTEMATIC_NAME":"M12090","ORGANISM":"Homo sapiens","PMID":"17898786","AUTHORS":"Tonks A,Pearn L,Musson M,Gilkes A,Mills KI,Burnett AK,Darley RL","GEOID":"E-MEXP-583","EXACT_SOURCE":"Table 2S: list 4","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in erythroid lineage cells by RUNX1-RUNX1T1 [GeneID=861;862] fusion .","DESCRIPTION_FULL":"The t(8;21)(q22;q22) occurs frequently in acute myelogenous leukaemia and gives rise to the transcription factor fusion protein, RUNX1-RUNX1T1 (also known as AML1-ETO). To identify the genes dysregulated by the aberrant transcriptional activity of RUNX1-RUNX1T1, we used microarrays to determine the effect of this mutation on gene expression in human progenitor cells and during subsequent development. Gene signatures of these developmental subsets were very dissimilar indicating that effects of RUNX1-RUNX1T1 are highly context dependent. We focused on gene changes associated with the granulocytic lineage and identified a clinically relevant subset of these by comparison with 235 leukaemia patient transcriptional signatures. We confirmed the overexpression of a number of significant genes (Sox4, IL-17BR, CD200 and gamma-catenin). Further, we show that overexpression of CD200 and gamma-catenin is also associated with the inv(16) abnormality which like RUNX1-RUNX1T1 disrupts core binding factor activity. We investigated the functional significance of CD200 and gamma-catenin overexpression in normal human progenitor cells. The effect of IL17 on growth was also assessed. Individually, none of these changes were sufficient to recapitulate the effects of RUNX1-RUNX1T1 on normal development. These data provide the most comprehensive and pertinent assessment of the effect of RUNX1-RUNX1T1 on gene expression and demonstrate the highly context-dependent effects of this fusion gene."}
{"STANDARD_NAME":"TONKS_TARGETS_OF_RUNX1_RUNX1T1_FUSION_SUSTAINED_IN_MONOCYTE_UP","SYSTEMATIC_NAME":"M7176","ORGANISM":"Homo sapiens","PMID":"17898786","AUTHORS":"Tonks A,Pearn L,Musson M,Gilkes A,Mills KI,Burnett AK,Darley RL","GEOID":"E-MEXP-583","EXACT_SOURCE":"Table 4S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated by RUNX1-RUNX1T1 [GeneID=861;862] fusion protein in normal hematopoietic progenitors; their expression was sustained in subsequently developing monocytes.","DESCRIPTION_FULL":"The t(8;21)(q22;q22) occurs frequently in acute myelogenous leukaemia and gives rise to the transcription factor fusion protein, RUNX1-RUNX1T1 (also known as AML1-ETO). To identify the genes dysregulated by the aberrant transcriptional activity of RUNX1-RUNX1T1, we used microarrays to determine the effect of this mutation on gene expression in human progenitor cells and during subsequent development. Gene signatures of these developmental subsets were very dissimilar indicating that effects of RUNX1-RUNX1T1 are highly context dependent. We focused on gene changes associated with the granulocytic lineage and identified a clinically relevant subset of these by comparison with 235 leukaemia patient transcriptional signatures. We confirmed the overexpression of a number of significant genes (Sox4, IL-17BR, CD200 and gamma-catenin). Further, we show that overexpression of CD200 and gamma-catenin is also associated with the inv(16) abnormality which like RUNX1-RUNX1T1 disrupts core binding factor activity. We investigated the functional significance of CD200 and gamma-catenin overexpression in normal human progenitor cells. The effect of IL17 on growth was also assessed. Individually, none of these changes were sufficient to recapitulate the effects of RUNX1-RUNX1T1 on normal development. These data provide the most comprehensive and pertinent assessment of the effect of RUNX1-RUNX1T1 on gene expression and demonstrate the highly context-dependent effects of this fusion gene."}
{"STANDARD_NAME":"TONKS_TARGETS_OF_RUNX1_RUNX1T1_FUSION_SUSTAINED_IN_MONOCYTE_DN","SYSTEMATIC_NAME":"M4223","ORGANISM":"Homo sapiens","PMID":"17898786","AUTHORS":"Tonks A,Pearn L,Musson M,Gilkes A,Mills KI,Burnett AK,Darley RL","GEOID":"E-MEXP-583","EXACT_SOURCE":"Table 4S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated by RUNX1-RUNX1T1 [GeneID=861;862] fusion protein in normal hematopoietic progenitors; their expression was sustained in subsequently developing monocytes.","DESCRIPTION_FULL":"The t(8;21)(q22;q22) occurs frequently in acute myelogenous leukaemia and gives rise to the transcription factor fusion protein, RUNX1-RUNX1T1 (also known as AML1-ETO). To identify the genes dysregulated by the aberrant transcriptional activity of RUNX1-RUNX1T1, we used microarrays to determine the effect of this mutation on gene expression in human progenitor cells and during subsequent development. Gene signatures of these developmental subsets were very dissimilar indicating that effects of RUNX1-RUNX1T1 are highly context dependent. We focused on gene changes associated with the granulocytic lineage and identified a clinically relevant subset of these by comparison with 235 leukaemia patient transcriptional signatures. We confirmed the overexpression of a number of significant genes (Sox4, IL-17BR, CD200 and gamma-catenin). Further, we show that overexpression of CD200 and gamma-catenin is also associated with the inv(16) abnormality which like RUNX1-RUNX1T1 disrupts core binding factor activity. We investigated the functional significance of CD200 and gamma-catenin overexpression in normal human progenitor cells. The effect of IL17 on growth was also assessed. Individually, none of these changes were sufficient to recapitulate the effects of RUNX1-RUNX1T1 on normal development. These data provide the most comprehensive and pertinent assessment of the effect of RUNX1-RUNX1T1 on gene expression and demonstrate the highly context-dependent effects of this fusion gene."}
{"STANDARD_NAME":"TONKS_TARGETS_OF_RUNX1_RUNX1T1_FUSION_SUSTAINDED_IN_ERYTHROCYTE_UP","SYSTEMATIC_NAME":"M12085","ORGANISM":"Homo sapiens","PMID":"17898786","AUTHORS":"Tonks A,Pearn L,Musson M,Gilkes A,Mills KI,Burnett AK,Darley RL","GEOID":"E-MEXP-583","EXACT_SOURCE":"Table 5S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated by RUNX1-RUNX1T1 [GeneID=861;862] fusion protein in normal hematopoietic progenitors; their expression was sustained in subsequently developing erythroid lineage.","DESCRIPTION_FULL":"The t(8;21)(q22;q22) occurs frequently in acute myelogenous leukaemia and gives rise to the transcription factor fusion protein, RUNX1-RUNX1T1 (also known as AML1-ETO). To identify the genes dysregulated by the aberrant transcriptional activity of RUNX1-RUNX1T1, we used microarrays to determine the effect of this mutation on gene expression in human progenitor cells and during subsequent development. Gene signatures of these developmental subsets were very dissimilar indicating that effects of RUNX1-RUNX1T1 are highly context dependent. We focused on gene changes associated with the granulocytic lineage and identified a clinically relevant subset of these by comparison with 235 leukaemia patient transcriptional signatures. We confirmed the overexpression of a number of significant genes (Sox4, IL-17BR, CD200 and gamma-catenin). Further, we show that overexpression of CD200 and gamma-catenin is also associated with the inv(16) abnormality which like RUNX1-RUNX1T1 disrupts core binding factor activity. We investigated the functional significance of CD200 and gamma-catenin overexpression in normal human progenitor cells. The effect of IL17 on growth was also assessed. Individually, none of these changes were sufficient to recapitulate the effects of RUNX1-RUNX1T1 on normal development. These data provide the most comprehensive and pertinent assessment of the effect of RUNX1-RUNX1T1 on gene expression and demonstrate the highly context-dependent effects of this fusion gene."}
{"STANDARD_NAME":"LOPEZ_MESOTHELIOMA_SURVIVAL_WORST_VS_BEST_UP","SYSTEMATIC_NAME":"M15226","ORGANISM":"Homo sapiens","PMID":"16540645","AUTHORS":"López-Ríos F,Chuai S,Flores R,Shimizu S,Ohno T,Wakahara K,Illei PB,Hussain S,Krug L,Zakowski MF,Rusch V,Olshen AB,Ladanyi M","EXACT_SOURCE":"Table 6AS: worst25","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes higher expressed in the worst 25 mesothelioma survivors compared to the 25 best ones.","DESCRIPTION_FULL":"Most gene expression profiling studies of mesothelioma have been based on relatively small sample numbers, limiting their statistical power. We did Affymetrix U133A microarray analysis on 99 pleural mesotheliomas, in which multivariate analysis showed advanced-stage, sarcomatous histology and P16/CDKN2A homozygous deletion to be significant independent adverse prognostic factors. Comparison of the expression profiles of epithelioid versus sarcomatous mesotheliomas identified many genes significantly overexpressed among the former, including previously unrecognized ones, such as uroplakins and kallikrein 11, both confirmed by immunohistochemistry. Examination of the gene expression correlates of survival showed that more aggressive mesotheliomas expressed higher levels of Aurora kinases A and B and functionally related genes involved in mitosis and cell cycle control. Independent confirmation of the negative effect of Aurora kinase B was obtained by immunohistochemistry in a separate patient cohort. A role for Aurora kinases in the aggressive behavior of mesotheliomas is of potential clinical interest because of the recent development of small-molecule inhibitors. We then used our data to develop microarray-based predictors of 1 year survival; these achieved a maximal accuracy of 68% in cross-validation. However, this was inferior to prognostic prediction based on standard clinicopathologic variables and P16/CDNK2A status (accuracy, 73%), and adding the microarray model to the latter did not improve overall accuracy. Finally, we evaluated three recently published microarray-based outcome prediction models, but their accuracies ranged from 63% to 67%, consistently lower than reported. Gene expression profiling of mesotheliomas is an important discovery tool, but its power in clinical prognostication has been overestimated."}
{"STANDARD_NAME":"LOPEZ_MESOTHELIOMA_SURVIVAL_WORST_VS_BEST_DN","SYSTEMATIC_NAME":"M7057","ORGANISM":"Homo sapiens","PMID":"16540645","AUTHORS":"López-Ríos F,Chuai S,Flores R,Shimizu S,Ohno T,Wakahara K,Illei PB,Hussain S,Krug L,Zakowski MF,Rusch V,Olshen AB,Ladanyi M","EXACT_SOURCE":"Table 6AS: best25","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes higher expressed in the best 25 mesothelioma survivors compared to the 25 worst ones.","DESCRIPTION_FULL":"Most gene expression profiling studies of mesothelioma have been based on relatively small sample numbers, limiting their statistical power. We did Affymetrix U133A microarray analysis on 99 pleural mesotheliomas, in which multivariate analysis showed advanced-stage, sarcomatous histology and P16/CDKN2A homozygous deletion to be significant independent adverse prognostic factors. Comparison of the expression profiles of epithelioid versus sarcomatous mesotheliomas identified many genes significantly overexpressed among the former, including previously unrecognized ones, such as uroplakins and kallikrein 11, both confirmed by immunohistochemistry. Examination of the gene expression correlates of survival showed that more aggressive mesotheliomas expressed higher levels of Aurora kinases A and B and functionally related genes involved in mitosis and cell cycle control. Independent confirmation of the negative effect of Aurora kinase B was obtained by immunohistochemistry in a separate patient cohort. A role for Aurora kinases in the aggressive behavior of mesotheliomas is of potential clinical interest because of the recent development of small-molecule inhibitors. We then used our data to develop microarray-based predictors of 1 year survival; these achieved a maximal accuracy of 68% in cross-validation. However, this was inferior to prognostic prediction based on standard clinicopathologic variables and P16/CDNK2A status (accuracy, 73%), and adding the microarray model to the latter did not improve overall accuracy. Finally, we evaluated three recently published microarray-based outcome prediction models, but their accuracies ranged from 63% to 67%, consistently lower than reported. Gene expression profiling of mesotheliomas is an important discovery tool, but its power in clinical prognostication has been overestimated."}
{"STANDARD_NAME":"PAPASPYRIDONOS_UNSTABLE_ATEROSCLEROTIC_PLAQUE_UP","SYSTEMATIC_NAME":"M9936","ORGANISM":"Homo sapiens","PMID":"16741146","AUTHORS":"Papaspyridonos M,Smith A,Burnand KG,Taylor P,Padayachee S,Suckling KE,James CH,Greaves DR,Patel L","EXACT_SOURCE":"Table 4S: Fold change < 0","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in unstable ateroslerotic plaques compared to the stable ones.","DESCRIPTION_FULL":"OBJECTIVE: Comparison of gene expression in stable versus unstable atherosclerotic plaque may be confounded by interpatient variability. The aim of this study was to identify differences in gene expression between stable and unstable segments of plaque obtained from the same patient. METHODS AND RESULTS: Human carotid endarterectomy specimens were segmented and macroscopically classified using a morphological classification system. Two analytical methods, an intraplaque and an interplaque analysis, revealed 170 and 1916 differentially expressed genes, respectively using Affymetrix gene chip analysis. A total of 115 genes were identified from both analyses. The differential expression of 27 genes was also confirmed using quantitative-polymerase chain reaction on a larger panel of samples. Eighteen of these genes have not been associated previously with plaque instability, including the metalloproteinase, ADAMDEC1 (approximately 37-fold), retinoic acid receptor responder-1 (approximately 5-fold), and cysteine protease legumain (approximately 3-fold). Matrix metalloproteinase-9 (MMP-9), cathepsin B, and a novel gene, legumain, a potential activator of MMPs and cathepsins, were also confirmed at the protein level. CONCLUSIONS: The differential expression of 18 genes not previously associated with plaque rupture has been confirmed in stable and unstable regions of the same atherosclerotic plaque. These genes may represent novel targets for the treatment of unstable plaque or useful diagnostic markers of plaque instability."}
{"STANDARD_NAME":"DITTMER_PTHLH_TARGETS_UP","SYSTEMATIC_NAME":"M11090","ORGANISM":"Homo sapiens","PMID":"16551631","AUTHORS":"Dittmer A,Vetter M,Schunke D,Span PN,Sweep F,Thomssen C,Dittmer J","GEOID":"GSE4292","EXACT_SOURCE":"Table 3S: Ind. = Up","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in MDA-MB-231 cells (breast cancer) after knockdown of PTHLH [GeneID=5744] by RNAi.","DESCRIPTION_FULL":"The effect of endogenous parathyroid hormone-related protein (PTHrP) on gene expression in breast cancer cells was studied. We suppressed PTHrP expression in MDA-MB-231 cells by RNA interference and analyzed changes in gene expression by microarray analysis. More than 200 genes showed altered expression in response to a PTHrP-specific small interfering (si) RNA (siPTHrP). Cell cycle-regulating gene CDC2 and genes (CDC25B and Tome-1) that control CDC2 activity showed increased expression in the presence of siPTHrP. CDC2 activity was also found to be higher in siPTHrP-treated cells. Studies with PTHrP peptides 1-34 and 67-86, forskolin, and a PTH1 receptor (PTH1R)-specific siRNA showed that PTHrP regulates CDC2 and CDC25B, at least in part, via PTH1R in a cAMP-independent manner. Other siPTHrP-responsive genes included integrin alpha6 (ITGA6), KISS-1, and PAI-1. When combined, siRNAs against ITGA6, PAI-1, and KISS-1 could mimic the negative effect of siPTHrP on migration, whereas siKISS-1 and siPTHrP similarly reduced the proliferative activity of the cells. Comparative expression analyses with 50 primary breast carcinomas revealed that the RNA level of ITGA6 correlates with that of PTHrP, and higher CDC2 and CDC25B values are found at low PTHrP expression. Our data suggest that PTHrP has a profound effect on gene expression in breast cancer cells and, as a consequence, contributes to the regulation of important cellular activities, such as migration and proliferation."}
{"STANDARD_NAME":"DITTMER_PTHLH_TARGETS_DN","SYSTEMATIC_NAME":"M18667","ORGANISM":"Homo sapiens","PMID":"16551631","AUTHORS":"Dittmer A,Vetter M,Schunke D,Span PN,Sweep F,Thomssen C,Dittmer J","GEOID":"GSE4292","EXACT_SOURCE":"Table 3S: Ind. = Down","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in MDA-MB-231 cells (breast cancer) after knockdown of PTHLH [GeneID=5744] by RNAi.","DESCRIPTION_FULL":"The effect of endogenous parathyroid hormone-related protein (PTHrP) on gene expression in breast cancer cells was studied. We suppressed PTHrP expression in MDA-MB-231 cells by RNA interference and analyzed changes in gene expression by microarray analysis. More than 200 genes showed altered expression in response to a PTHrP-specific small interfering (si) RNA (siPTHrP). Cell cycle-regulating gene CDC2 and genes (CDC25B and Tome-1) that control CDC2 activity showed increased expression in the presence of siPTHrP. CDC2 activity was also found to be higher in siPTHrP-treated cells. Studies with PTHrP peptides 1-34 and 67-86, forskolin, and a PTH1 receptor (PTH1R)-specific siRNA showed that PTHrP regulates CDC2 and CDC25B, at least in part, via PTH1R in a cAMP-independent manner. Other siPTHrP-responsive genes included integrin alpha6 (ITGA6), KISS-1, and PAI-1. When combined, siRNAs against ITGA6, PAI-1, and KISS-1 could mimic the negative effect of siPTHrP on migration, whereas siKISS-1 and siPTHrP similarly reduced the proliferative activity of the cells. Comparative expression analyses with 50 primary breast carcinomas revealed that the RNA level of ITGA6 correlates with that of PTHrP, and higher CDC2 and CDC25B values are found at low PTHrP expression. Our data suggest that PTHrP has a profound effect on gene expression in breast cancer cells and, as a consequence, contributes to the regulation of important cellular activities, such as migration and proliferation."}
{"STANDARD_NAME":"UDAYAKUMAR_MED1_TARGETS_UP","SYSTEMATIC_NAME":"M3909","ORGANISM":"Homo sapiens","PMID":"16574658","AUTHORS":"Udayakumar TS,Belakavadi M,Choi KH,Pandey PK,Fondell JD","EXACT_SOURCE":"Table S1: Pvalue <= 0.001 & Fold change > 1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in HeLa cells after knockdown of MED1 [GeneID=5469] by RNAi.","DESCRIPTION_FULL":"The TRAP/Mediator coactivator complex serves as a functional interface between DNA-bound transactivators and the RNA polymerase II-associated basal transcription apparatus. TRAP220/MED1 is a variably associated subunit of the complex that plays a specialized role in selectively targeting TRAP/Mediator to specific genes. Ablation of the Trap220/Med1 gene in mice impairs embryonic cell growth, yet the underlying mechanism is unknown. In this report, we identified distinct cell growth regulatory genes whose expression is affected by the loss of TRAP220/MED1 by RNA interference. Among the down-regulated genes revealed by cDNA microarray analyses, we identified Aurora-A, a centrosome kinase that plays a critical role in regulating M phase events and is frequently amplified in several types of cancer. In general, we found that TRAP220/MED1 expression is required for high basal levels of Aurora-A gene expression and that ectopic overexpression of TRAP220/MED1 coactivates transcription from the Aurora-A gene promoter. Furthermore, chromatin immunoprecipitation assays show that TRAP220/MED1-containing TRAP/Mediator complexes directly bind to the Aurora-A promoter in vivo. Finally, we present evidence suggesting that TRAP/Mediator is recruited to the Aurora-A gene via direct interactions between TRAP220/MED1 and the Ets-related transcription factor GABP. Taken together, these findings suggest that TRAP220/MED1 plays a novel coregulatory role in facilitating the recruitment of TRAP/Mediator to specific target genes involved in growth and cell cycle progression."}
{"STANDARD_NAME":"ODONNELL_TFRC_TARGETS_UP","SYSTEMATIC_NAME":"M6753","ORGANISM":"Homo sapiens","PMID":"16508012","AUTHORS":"O'Donnell KA,Yu D,Zeller KI,Kim JW,Racke F,Thomas-Tikhonenko A,Dang CV","EXACT_SOURCE":"Table 7AS: fold change > 2","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in P493-6 cells (B lymphocyte, Burkitt's lymphoma model) upon knockdown of TFRC [GeneID=7037] by RNAi.","DESCRIPTION_FULL":"Overexpression of transferrin receptor 1 (TFRC1), a major mediator of iron uptake in mammalian cells, is a common feature of human malignancies. Therapeutic strategies designed to interfere with tumor iron metabolism have targeted TFRC1. The c-Myc oncogenic transcription factor stimulates proliferation and growth by activating thousands of target genes. Here we demonstrate that TFRC1 is a critical downstream target of c-Myc. Using in vitro and in vivo models of B-cell lymphoma, we show that TFRC1 expression is activated by c-Myc. Chromatin immunoprecipitation experiments reveal that c-Myc directly binds a conserved region of TFRC1. In light of these findings, we sought to determine whether TFRC1 is required for c-Myc-mediated cellular proliferation and cell size control. TFRC1 inhibition decreases cellular proliferation and results in G1 arrest without affecting cell size. Consistent with these findings, expression profiling reveals that TFRC1 depletion alters expression of genes that regulate the cell cycle. Furthermore, enforced TFRC1 expression confers a growth advantage to cells and significantly enhances the rate of c-Myc-mediated tumor formation in vivo. These findings provide a molecular basis for increased TFRC1 expression in human tumors, illuminate the role of TFRC1 in the c-Myc target gene network, and support strategies that target TFRC1 for cancer therapy."}
{"STANDARD_NAME":"ODONNELL_TARGETS_OF_MYC_AND_TFRC_UP","SYSTEMATIC_NAME":"M13183","ORGANISM":"Homo sapiens","PMID":"16508012","AUTHORS":"O'Donnell KA,Yu D,Zeller KI,Kim JW,Racke F,Thomas-Tikhonenko A,Dang CV","EXACT_SOURCE":"Table 7CS","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in P493-6 cells (B lymphocyte, Burkitt's lymphoma model) by MYC [GeneID=4609] and up-regulated by RNAi knockdown of TFRC [GeneID=7037].","DESCRIPTION_FULL":"Overexpression of transferrin receptor 1 (TFRC1), a major mediator of iron uptake in mammalian cells, is a common feature of human malignancies. Therapeutic strategies designed to interfere with tumor iron metabolism have targeted TFRC1. The c-Myc oncogenic transcription factor stimulates proliferation and growth by activating thousands of target genes. Here we demonstrate that TFRC1 is a critical downstream target of c-Myc. Using in vitro and in vivo models of B-cell lymphoma, we show that TFRC1 expression is activated by c-Myc. Chromatin immunoprecipitation experiments reveal that c-Myc directly binds a conserved region of TFRC1. In light of these findings, we sought to determine whether TFRC1 is required for c-Myc-mediated cellular proliferation and cell size control. TFRC1 inhibition decreases cellular proliferation and results in G1 arrest without affecting cell size. Consistent with these findings, expression profiling reveals that TFRC1 depletion alters expression of genes that regulate the cell cycle. Furthermore, enforced TFRC1 expression confers a growth advantage to cells and significantly enhances the rate of c-Myc-mediated tumor formation in vivo. These findings provide a molecular basis for increased TFRC1 expression in human tumors, illuminate the role of TFRC1 in the c-Myc target gene network, and support strategies that target TFRC1 for cancer therapy."}
{"STANDARD_NAME":"LEE_NEURAL_CREST_STEM_CELL_DN","SYSTEMATIC_NAME":"M10276","ORGANISM":"Homo sapiens","PMID":"18037878","AUTHORS":"Lee G,Kim H,Elkabetz Y,Al Shamy G,Panagiotakos G,Barberi T,Tabar V,Studer L","EXACT_SOURCE":"Table 2S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in the neural crest stem cells (NCS), defined as p75+/HNK1+ [GeneID=4804;27087].","DESCRIPTION_FULL":"Vertebrate neural crest development depends on pluripotent, migratory precursor cells. Although avian and murine neural crest stem (NCS) cells have been identified, the isolation of human NCS cells has remained elusive. Here we report the derivation of NCS cells from human embryonic stem cells at the neural rosette stage. We show that NCS cells plated at clonal density give rise to multiple neural crest lineages. The human NCS cells can be propagated in vitro and directed toward peripheral nervous system lineages (peripheral neurons, Schwann cells) and mesenchymal lineages (smooth muscle, adipogenic, osteogenic and chondrogenic cells). Transplantation of human NCS cells into the developing chick embryo and adult mouse hosts demonstrates survival, migration and differentiation compatible with neural crest identity. The availability of unlimited numbers of human NCS cells offers new opportunities for studies of neural crest development and for efforts to model and treat neural crest-related disorders."}
{"STANDARD_NAME":"HUMMEL_BURKITTS_LYMPHOMA_UP","SYSTEMATIC_NAME":"M3134","ORGANISM":"Homo sapiens","PMID":"16760442","AUTHORS":"Hummel M,Bentink S,Berger H,Klapper W,Wessendorf S,Barth TF,Bernd HW,Cogliatti SB,Dierlamm J,Feller AC,Hansmann ML,Haralambieva E,Harder L,Hasenclever D,Kühn M,Lenze D,Lichter P,Martin-Subero JI,Möller P,Müller-Hermelink HK,Ott G,Parwaresch RM,Pott C,Rosenwald A,Rosolowski M,Schwaenen C,Stürzenhofecker B,Szczepanowski M,Trautmann H,Wacker HH,Spang R,Loeffler M,Trümper L,Stein H,Siebert R,LastName M","GEOID":"GSE4475","EXACT_SOURCE":"Table 5.3.1S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Up-regulated genes constituting the molecular signature of Burkitt 's lymphoma.","DESCRIPTION_FULL":"BACKGROUND: The distinction between Burkitt's lymphoma and diffuse large-B-cell lymphoma is unclear. We used transcriptional and genomic profiling to define Burkitt's lymphoma more precisely and to distinguish subgroups in other types of mature aggressive B-cell lymphomas. METHODS: We performed gene-expression profiling using Affymetrix U133A GeneChips with RNA from 220 mature aggressive B-cell lymphomas, including a core group of 8 Burkitt's lymphomas that met all World Health Organization (WHO) criteria. A molecular signature for Burkitt's lymphoma was generated, and chromosomal abnormalities were detected with interphase fluorescence in situ hybridization and array-based comparative genomic hybridization. RESULTS: We used the molecular signature for Burkitt's lymphoma to identify 44 cases: 11 had the morphologic features of diffuse large-B-cell lymphomas, 4 were unclassifiable mature aggressive B-cell lymphomas, and 29 had a classic or atypical Burkitt's morphologic appearance. Also, five did not have a detectable IG-myc Burkitt's translocation, whereas the others contained an IG-myc fusion, mostly in simple karyotypes. Of the 176 lymphomas without the molecular signature for Burkitt's lymphoma, 155 were diffuse large-B-cell lymphomas. Of these 155 cases, 21 percent had a chromosomal breakpoint at the myc locus associated with complex chromosomal changes and an unfavorable clinical course. CONCLUSIONS: Our molecular definition of Burkitt's lymphoma clarifies and extends the spectrum of the WHO criteria for Burkitt's lymphoma. In mature aggressive B-cell lymphomas without a gene signature for Burkitt's lymphoma, chromosomal breakpoints at the myc locus were associated with an adverse clinical outcome."}
{"STANDARD_NAME":"ZHOU_INFLAMMATORY_RESPONSE_FIMA_DN","SYSTEMATIC_NAME":"M250","ORGANISM":"Homo sapiens","PMID":"18025224","AUTHORS":"Zhou Q,Amar S","EXACT_SOURCE":"Table 2S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages by P.gingivalis FimA pathogen.","DESCRIPTION_FULL":"Porphyromonas gingivalis (P. gingivalis) can trigger an inflammatory condition leading to the destruction of periodontal tissues. However P. gingivalis LPS and its fimbriae (FimA) play different roles compared with the live bacteria in the context of intracellular molecule induction and cytokine secretion. To elucidate whether this difference results from different signaling pathways in host immune response to P. gingivalis, its LPS, or its FimA, we examined gene expression profile of human macrophages exposed to P. gingivalis, its LPS, or its FimA. A comparison of gene expression resulted in the identification of three distinct groups of expressed genes. Furthermore, computer-assisted promoter analysis of a subset of each group of differentially regulated genes revealed four putative transcriptional regulation models that associate with transcription factors NFkappaB, IRF7, and KLF4. Using gene knockout mice and siRNA to silence mouse genes, we showed that both TLR2 and TLR7 are essential for the induction of NFkappaB-containing genes and NFkappaB-IFN-sensitive response element (ISRE) cocontaining genes by either P. gingivalis or its purified components. The gene induction via either TLR2 or TLR7 is dependent on both MyD88 and p38 MAPK. However, the unique induction of IFN-beta by P. gingivalis LPS requires TLR7 and IFNalphabetaR cosignaling, and the induction of ISRE-containing gene is dependent on the activation of IFN-beta autocrine loop. Taken together, these data demonstrate that P. gingivalis and its components induce NFkappaB-containing genes through either TLR2- or TLR7-MyD88-p38 MAPK pathway, while P. gingivalis LPS uniquely induces ISRE-containing genes, which requires IFNalphabetaR signaling involving IRF7, KLF4, and pY701 STAT1."}
{"STANDARD_NAME":"SABATES_COLORECTAL_ADENOMA_SIZE_UP","SYSTEMATIC_NAME":"M6740","ORGANISM":"Homo sapiens","PMID":"18171984","AUTHORS":"Sabates-Bellver J,Van der Flier LG,de Palo M,Cattaneo E,Maake C,Rehrauer H,Laczko E,Kurowski MA,Bujnicki JM,Menigatti M,Luz J,Ranalli TV,Gomes V,Pastorelli A,Faggiani R,Anti M,Jiricny J,Clevers H,Marra G","GEOID":"GSE8671","EXACT_SOURCE":"Table S3","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"A selection of genes whose expression displayed significant positive correlation with size of colorectal adenoma.","DESCRIPTION_FULL":"Colorectal cancers are believed to arise predominantly from adenomas. Although these precancerous lesions have been subjected to extensive clinical, pathologic, and molecular analyses, little is currently known about the global gene expression changes accompanying their formation. To characterize the molecular processes underlying the transformation of normal colonic epithelium, we compared the transcriptomes of 32 prospectively collected adenomas with those of normal mucosa from the same individuals. Important differences emerged not only between the expression profiles of normal and adenomatous tissues but also between those of small and large adenomas. A key feature of the transformation process was the remodeling of the Wnt pathway reflected in patent overexpression and underexpression of 78 known components of this signaling cascade. The expression of 19 Wnt targets was closely correlated with clear up-regulation of KIAA1199, whose function is currently unknown. In normal mucosa, KIAA1199 expression was confined to cells in the lower portion of intestinal crypts, where Wnt signaling is physiologically active, but it was markedly increased in all adenomas, where it was expressed in most of the epithelial cells, and in colon cancer cell lines, it was markedly reduced by inactivation of the beta-catenin/T-cell factor(s) transcription complex, the pivotal mediator of Wnt signaling. Our transcriptomic profiles of normal colonic mucosa and colorectal adenomas shed new light on the early stages of colorectal tumorigenesis and identified KIAA1199 as a novel target of the Wnt signaling pathway and a putative marker of colorectal adenomatous transformation."}
{"STANDARD_NAME":"SABATES_COLORECTAL_ADENOMA_SIZE_DN","SYSTEMATIC_NAME":"M11303","ORGANISM":"Homo sapiens","PMID":"18171984","AUTHORS":"Sabates-Bellver J,Van der Flier LG,de Palo M,Cattaneo E,Maake C,Rehrauer H,Laczko E,Kurowski MA,Bujnicki JM,Menigatti M,Luz J,Ranalli TV,Gomes V,Pastorelli A,Faggiani R,Anti M,Jiricny J,Clevers H,Marra G","GEOID":"GSE8671","EXACT_SOURCE":"Table S3","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"A selection of genes whose expression displayed significant negative correlation with size of colorectal adenoma.","DESCRIPTION_FULL":"Colorectal cancers are believed to arise predominantly from adenomas. Although these precancerous lesions have been subjected to extensive clinical, pathologic, and molecular analyses, little is currently known about the global gene expression changes accompanying their formation. To characterize the molecular processes underlying the transformation of normal colonic epithelium, we compared the transcriptomes of 32 prospectively collected adenomas with those of normal mucosa from the same individuals. Important differences emerged not only between the expression profiles of normal and adenomatous tissues but also between those of small and large adenomas. A key feature of the transformation process was the remodeling of the Wnt pathway reflected in patent overexpression and underexpression of 78 known components of this signaling cascade. The expression of 19 Wnt targets was closely correlated with clear up-regulation of KIAA1199, whose function is currently unknown. In normal mucosa, KIAA1199 expression was confined to cells in the lower portion of intestinal crypts, where Wnt signaling is physiologically active, but it was markedly increased in all adenomas, where it was expressed in most of the epithelial cells, and in colon cancer cell lines, it was markedly reduced by inactivation of the beta-catenin/T-cell factor(s) transcription complex, the pivotal mediator of Wnt signaling. Our transcriptomic profiles of normal colonic mucosa and colorectal adenomas shed new light on the early stages of colorectal tumorigenesis and identified KIAA1199 as a novel target of the Wnt signaling pathway and a putative marker of colorectal adenomatous transformation."}
{"STANDARD_NAME":"SABATES_COLORECTAL_ADENOMA_UP","SYSTEMATIC_NAME":"M929","ORGANISM":"Homo sapiens","PMID":"18171984","AUTHORS":"Sabates-Bellver J,Van der Flier LG,de Palo M,Cattaneo E,Maake C,Rehrauer H,Laczko E,Kurowski MA,Bujnicki JM,Menigatti M,Luz J,Ranalli TV,Gomes V,Pastorelli A,Faggiani R,Anti M,Jiricny J,Clevers H,Marra G","GEOID":"GSE8671","EXACT_SOURCE":"Table S4","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in colorectal adenoma compared to normal mucosa samples.","DESCRIPTION_FULL":"Colorectal cancers are believed to arise predominantly from adenomas. Although these precancerous lesions have been subjected to extensive clinical, pathologic, and molecular analyses, little is currently known about the global gene expression changes accompanying their formation. To characterize the molecular processes underlying the transformation of normal colonic epithelium, we compared the transcriptomes of 32 prospectively collected adenomas with those of normal mucosa from the same individuals. Important differences emerged not only between the expression profiles of normal and adenomatous tissues but also between those of small and large adenomas. A key feature of the transformation process was the remodeling of the Wnt pathway reflected in patent overexpression and underexpression of 78 known components of this signaling cascade. The expression of 19 Wnt targets was closely correlated with clear up-regulation of KIAA1199, whose function is currently unknown. In normal mucosa, KIAA1199 expression was confined to cells in the lower portion of intestinal crypts, where Wnt signaling is physiologically active, but it was markedly increased in all adenomas, where it was expressed in most of the epithelial cells, and in colon cancer cell lines, it was markedly reduced by inactivation of the beta-catenin/T-cell factor(s) transcription complex, the pivotal mediator of Wnt signaling. Our transcriptomic profiles of normal colonic mucosa and colorectal adenomas shed new light on the early stages of colorectal tumorigenesis and identified KIAA1199 as a novel target of the Wnt signaling pathway and a putative marker of colorectal adenomatous transformation."}
{"STANDARD_NAME":"SCIBETTA_KDM5B_TARGETS_UP","SYSTEMATIC_NAME":"M1142","ORGANISM":"Homo sapiens","PMID":"17709396","AUTHORS":"Scibetta AG,Santangelo S,Coleman J,Hall D,Chaplin T,Copier J,Catchpole S,Burchell J,Taylor-Papadimitriou J","EXACT_SOURCE":"Table S2","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in HB2 cells (mammary epithelium) upon expression of KDM5B [GeneID=10765] off an adenoviral vector.","DESCRIPTION_FULL":"The PLU-1/JARID1B nuclear protein, which is upregulated in breast cancers, belongs to the ARID family of DNA binding proteins and has strong transcriptional repression activity. To identify the target genes regulated by PLU-1/JARID1B, we overexpressed or silenced the human PLU-1/JARID1B gene in human mammary epithelial cells by using adenovirus and RNA interference systems, respectively, and then applied microarray analysis to identify candidate genes. A total of 100 genes showed inversely correlated differential expression in the two systems. Most of the candidate genes were downregulated by the overexpression of PLU-1/JARID1B, including the MT genes, the tumor suppressor gene BRCA1, and genes involved in the regulation of the M phase of the mitotic cell cycle. Chromatin immunoprecipitation assays confirmed that the metallothionein 1H (MT1H), -1F, and -1X genes are direct transcriptional targets of PLU-1/JARID1B in vivo. Furthermore, the level of trimethyl H3K4 of the MT1H promoter was increased following silencing of PLU-1/JARID1B. Both the PLU-1/JARID1B protein and the ARID domain selectively bound CG-rich DNA. The GCACA/C motif, which is abundant in metallothionein promoters, was identified as a consensus binding sequence of the PLU-1/JARID1B ARID domain. As expected from the microarray data, cells overexpressing PLU-1/JARID1B have an impaired G(2)/M checkpoint. Our study provides insight into the molecular function of the breast cancer-associated transcriptional repressor PLU-1/JARID1B."}
{"STANDARD_NAME":"NAGASHIMA_NRG1_SIGNALING_DN","SYSTEMATIC_NAME":"M17600","ORGANISM":"Homo sapiens","PMID":"17142811","AUTHORS":"Nagashima T,Shimodaira H,Ide K,Nakakuki T,Tani Y,Takahashi K,Yumoto N,Hatakeyama M","EXACT_SOURCE":"Table 1S: HRG fold change -","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in MCF7 cells (breast cancer) after stimulation with NRG1 [GeneID=3084].","DESCRIPTION_FULL":"ErbB receptor ligands, epidermal growth factor (EGF) and heregulin (HRG), induce dose-dependent transient and sustained intracellular signaling, proliferation, and differentiation of MCF-7 breast cancer cells, respectively. In an effort to delineate the ligand-specific cell determination mechanism, we investigated time course gene expressions induced by EGF and HRG that induce distinct cellular phenotypes in MCF-7 cells. To analyze independently the effects of ligand dosage and time for gene expression, we developed a statistical method for estimating the two effects. Our results indicated that signal transduction pathways convey quantitative properties of the dose-dependent activation of ErbB receptor to early transcription. The results also implied that moderate changes in the expression levels of a number of genes, not the predominant regulation of a few specific genes, might cooperatively work at the early stage of the transcription for determining cell fate. However, the EGF- and HRG-induced distinct signal durations resulted in the ligand-oriented biphasic induction of proteins after 20 min. The selected gene list and HRG-induced prolonged signaling suggested that transcriptional feedback to the intracellular signaling results in a graded to biphasic response in the cell determination process and that each ErbB receptor is inextricably responsible for the control of amplitude and duration of cellular biochemical reactions."}
{"STANDARD_NAME":"ELVIDGE_HYPOXIA_DN","SYSTEMATIC_NAME":"M10175","ORGANISM":"Homo sapiens","PMID":"16565084","AUTHORS":"Elvidge GP,Glenny L,Appelhoff RJ,Ratcliffe PJ,Ragoussis J,Gleadle JM","GEOID":"GSE3188","EXACT_SOURCE":"Tables 4S: Hypoxia fold change < 0","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in MCF7 cells (breast cancer) under hypoxia conditions.","DESCRIPTION_FULL":"Studies of gene regulation by oxygen have revealed novel signal pathways that regulate the hypoxia-inducible factor (HIF) transcriptional system through post-translational hydroxylation of specific prolyl and asparaginyl residues in HIF-alpha subunits. These oxygen-sensitive modifications are catalyzed by members of the 2-oxoglutarate (2-OG) dioxygenase family (PHD1, PHD2, PHD3, and FIH-1), raising an important question regarding the extent of involvement of these and other enzymes of the same family in directing the global changes in gene expression that are induced by hypoxia. To address this, we compared patterns of gene expression induced by hypoxia and by a nonspecific 2-OG-dependent dioxygenase inhibitor, dimethyloxalylglycine (DMOG), among a set of 22,000 transcripts, by microarray analysis of MCF7 cells. By using short interfering RNA-based suppression of HIF-alpha subunits, we also compared responses that were dependent on, or independent of, the HIF system. Results revealed striking concordance between patterns of gene expression induced by hypoxia and by DMOG, indicating the central involvement of 2-OG-dependent dioxygenases in oxygen-regulated gene expression. Many of these responses were suppressed by short interfering RNAs directed against HIF-1alpha and HIF-2alpha, with HIF-1alpha suppression manifesting substantially greater effects than HIF-2alpha suppression, supporting the importance of HIF pathways. Nevertheless, the definition of genes regulated by both hypoxia and DMOG, but not HIF, distinguished other pathways most likely involving the action of 2-OG-dependent dioxygenases on non-HIF substrates."}
{"STANDARD_NAME":"ELVIDGE_HYPOXIA_BY_DMOG_DN","SYSTEMATIC_NAME":"M7030","ORGANISM":"Homo sapiens","PMID":"16565084","AUTHORS":"Elvidge GP,Glenny L,Appelhoff RJ,Ratcliffe PJ,Ragoussis J,Gleadle JM","GEOID":"GSE3188","EXACT_SOURCE":"Tables 3S, 4S: DMOG fold change < 0 & q-val < 0.01","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in MCF7 cells (breast cancer) treated with hypoxia mimetic DMOG [PubChem=3080614].","DESCRIPTION_FULL":"Studies of gene regulation by oxygen have revealed novel signal pathways that regulate the hypoxia-inducible factor (HIF) transcriptional system through post-translational hydroxylation of specific prolyl and asparaginyl residues in HIF-alpha subunits. These oxygen-sensitive modifications are catalyzed by members of the 2-oxoglutarate (2-OG) dioxygenase family (PHD1, PHD2, PHD3, and FIH-1), raising an important question regarding the extent of involvement of these and other enzymes of the same family in directing the global changes in gene expression that are induced by hypoxia. To address this, we compared patterns of gene expression induced by hypoxia and by a nonspecific 2-OG-dependent dioxygenase inhibitor, dimethyloxalylglycine (DMOG), among a set of 22,000 transcripts, by microarray analysis of MCF7 cells. By using short interfering RNA-based suppression of HIF-alpha subunits, we also compared responses that were dependent on, or independent of, the HIF system. Results revealed striking concordance between patterns of gene expression induced by hypoxia and by DMOG, indicating the central involvement of 2-OG-dependent dioxygenases in oxygen-regulated gene expression. Many of these responses were suppressed by short interfering RNAs directed against HIF-1alpha and HIF-2alpha, with HIF-1alpha suppression manifesting substantially greater effects than HIF-2alpha suppression, supporting the importance of HIF pathways. Nevertheless, the definition of genes regulated by both hypoxia and DMOG, but not HIF, distinguished other pathways most likely involving the action of 2-OG-dependent dioxygenases on non-HIF substrates."}
{"STANDARD_NAME":"ELVIDGE_HIF1A_TARGETS_UP","SYSTEMATIC_NAME":"M17905","ORGANISM":"Homo sapiens","PMID":"16565084","AUTHORS":"Elvidge GP,Glenny L,Appelhoff RJ,Ratcliffe PJ,Ragoussis J,Gleadle JM","GEOID":"GSE3188","EXACT_SOURCE":"Tables 3S, 4S: HIF1si fold change > 0 & q-value < 0.01","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in MCF7 cells (breast cancer) after knockdown of HIF1A [GeneID=3091] by RNAi.","DESCRIPTION_FULL":"Studies of gene regulation by oxygen have revealed novel signal pathways that regulate the hypoxia-inducible factor (HIF) transcriptional system through post-translational hydroxylation of specific prolyl and asparaginyl residues in HIF-alpha subunits. These oxygen-sensitive modifications are catalyzed by members of the 2-oxoglutarate (2-OG) dioxygenase family (PHD1, PHD2, PHD3, and FIH-1), raising an important question regarding the extent of involvement of these and other enzymes of the same family in directing the global changes in gene expression that are induced by hypoxia. To address this, we compared patterns of gene expression induced by hypoxia and by a nonspecific 2-OG-dependent dioxygenase inhibitor, dimethyloxalylglycine (DMOG), among a set of 22,000 transcripts, by microarray analysis of MCF7 cells. By using short interfering RNA-based suppression of HIF-alpha subunits, we also compared responses that were dependent on, or independent of, the HIF system. Results revealed striking concordance between patterns of gene expression induced by hypoxia and by DMOG, indicating the central involvement of 2-OG-dependent dioxygenases in oxygen-regulated gene expression. Many of these responses were suppressed by short interfering RNAs directed against HIF-1alpha and HIF-2alpha, with HIF-1alpha suppression manifesting substantially greater effects than HIF-2alpha suppression, supporting the importance of HIF pathways. Nevertheless, the definition of genes regulated by both hypoxia and DMOG, but not HIF, distinguished other pathways most likely involving the action of 2-OG-dependent dioxygenases on non-HIF substrates."}
{"STANDARD_NAME":"ELVIDGE_HIF1A_AND_HIF2A_TARGETS_UP","SYSTEMATIC_NAME":"M7062","ORGANISM":"Homo sapiens","PMID":"16565084","AUTHORS":"Elvidge GP,Glenny L,Appelhoff RJ,Ratcliffe PJ,Ragoussis J,Gleadle JM","GEOID":"GSE3188","EXACT_SOURCE":"Tables 3S, 4S: HIF12si fold change > 0 & q-value < 0.01","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in MCF7 cells (breast cancer) after knockdown of both HIF1A and HIF2A [GeneID=3091;2034] by RNAi.","DESCRIPTION_FULL":"Studies of gene regulation by oxygen have revealed novel signal pathways that regulate the hypoxia-inducible factor (HIF) transcriptional system through post-translational hydroxylation of specific prolyl and asparaginyl residues in HIF-alpha subunits. These oxygen-sensitive modifications are catalyzed by members of the 2-oxoglutarate (2-OG) dioxygenase family (PHD1, PHD2, PHD3, and FIH-1), raising an important question regarding the extent of involvement of these and other enzymes of the same family in directing the global changes in gene expression that are induced by hypoxia. To address this, we compared patterns of gene expression induced by hypoxia and by a nonspecific 2-OG-dependent dioxygenase inhibitor, dimethyloxalylglycine (DMOG), among a set of 22,000 transcripts, by microarray analysis of MCF7 cells. By using short interfering RNA-based suppression of HIF-alpha subunits, we also compared responses that were dependent on, or independent of, the HIF system. Results revealed striking concordance between patterns of gene expression induced by hypoxia and by DMOG, indicating the central involvement of 2-OG-dependent dioxygenases in oxygen-regulated gene expression. Many of these responses were suppressed by short interfering RNAs directed against HIF-1alpha and HIF-2alpha, with HIF-1alpha suppression manifesting substantially greater effects than HIF-2alpha suppression, supporting the importance of HIF pathways. Nevertheless, the definition of genes regulated by both hypoxia and DMOG, but not HIF, distinguished other pathways most likely involving the action of 2-OG-dependent dioxygenases on non-HIF substrates."}
{"STANDARD_NAME":"JAATINEN_HEMATOPOIETIC_STEM_CELL_UP","SYSTEMATIC_NAME":"M15107","ORGANISM":"Homo sapiens","PMID":"16210406","AUTHORS":"Jaatinen T,Hemmoranta H,Hautaniemi S,Niemi J,Nicorici D,Laine J,Yli-Harja O,Partanen J","EXACT_SOURCE":"Table 2S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in CD133+ [GeneID=8842] cells (hematopoietic stem cells, HSC) compared to the CD133- cells.","DESCRIPTION_FULL":"Human cord blood (CB)-derived CD133+ cells carry characteristics of primitive hematopoietic cells and proffer an alternative for CD34+ cells in hematopoietic stem cell (HSC) transplantation. To characterize the CD133+ cell population on a genetic level, a global expression analysis of CD133+ cells was performed using oligonucleotide microarrays. CD133+ cells were purified from four fresh CB units by immunomagnetic selection. All four CD133+ samples showed significant similarity in their gene expression pattern, whereas they differed clearly from the CD133- control samples. In all, 690 transcripts were differentially expressed between CD133+ and CD133- cells. Of these, 393 were increased and 297 were decreased in CD133+ cells. The highest overexpression was noted in genes associated with metabolism, cellular physiological processes, cell communication, and development. A set of 257 transcripts expressed solely in the CD133+ cell population was identified. Colony-forming unit (CFU) assay was used to detect the clonal progeny of precursors present in the studied cell populations. The results demonstrate that CD133+ cells express primitive markers and possess clonogenic progenitor capacity. This study provides a gene expression profile for human CD133+ cells. It presents a set of genes that may be used to unravel the properties of the CD133+ cell population, assumed to be highly enriched in HSCs."}
{"STANDARD_NAME":"MOROSETTI_FACIOSCAPULOHUMERAL_MUSCULAR_DISTROPHY_UP","SYSTEMATIC_NAME":"M5409","ORGANISM":"Homo sapiens","PMID":"17761758","AUTHORS":"Morosetti R,Mirabella M,Gliubizzi C,Broccolini A,Sancricca C,Pescatori M,Gidaro T,Tasca G,Frusciante R,Tonali PA,Cossu G,Ricci E","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in FSHD (facioscapulohumeral muscular dystrophy) mesoangioblasts.","DESCRIPTION_FULL":"Facioscapulohumeral muscular dystrophy (FSHD) is the third most frequent inherited muscle disease. Because in FSHD patients the coexistence of affected and unaffected muscles is common, myoblasts expanded from unaffected FSHD muscles have been proposed as suitable tools for autologous cell transplantation. Mesoangioblasts are a new class of adult stem cells of mesodermal origin, potentially useful for the treatment of primitive myopathies of different etiology. Here, we report the isolation and characterization of mesoangioblasts from FSHD muscle biopsies and describe morphology, proliferation, and differentiation abilities of both mesoangioblasts and myoblasts derived from various affected and unaffected muscles of nine representative FSHD patients. We demonstrate that mesoangioblasts can be efficiently isolated from FSHD muscle biopsies and expanded to an amount of cells necessary to transplant into an adult patient. Proliferating mesoangioblasts from all muscles examined did not differ from controls in terms of morphology, phenotype, proliferation rate, or clonogenicity. However, their differentiation ability into skeletal muscle was variably impaired, and this defect correlated with the overall disease severity and the degree of histopathologic abnormalities of the muscle of origin. A remarkable differentiation defect was observed in mesoangioblasts from all mildly to severely affected FSHD muscles, whereas mesoangioblasts from morphologically normal muscles showed no myogenic differentiation block. Our study could open the way to cell therapy for FSHD patients to limit muscle damage in vivo through the use of autologous mesoangioblasts capable of reaching damaged muscles and engrafting into them, without requiring immune suppression or genetic correction in vitro. Disclosure of potential conflicts of interest is found at the end of this article."}
{"STANDARD_NAME":"MOROSETTI_FACIOSCAPULOHUMERAL_MUSCULAR_DISTROPHY_DN","SYSTEMATIC_NAME":"M15593","ORGANISM":"Homo sapiens","PMID":"17761758","AUTHORS":"Morosetti R,Mirabella M,Gliubizzi C,Broccolini A,Sancricca C,Pescatori M,Gidaro T,Tasca G,Frusciante R,Tonali PA,Cossu G,Ricci E","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in FSHD (facioscapulohumeral muscular dystrophy) mesoangioblasts.","DESCRIPTION_FULL":"Facioscapulohumeral muscular dystrophy (FSHD) is the third most frequent inherited muscle disease. Because in FSHD patients the coexistence of affected and unaffected muscles is common, myoblasts expanded from unaffected FSHD muscles have been proposed as suitable tools for autologous cell transplantation. Mesoangioblasts are a new class of adult stem cells of mesodermal origin, potentially useful for the treatment of primitive myopathies of different etiology. Here, we report the isolation and characterization of mesoangioblasts from FSHD muscle biopsies and describe morphology, proliferation, and differentiation abilities of both mesoangioblasts and myoblasts derived from various affected and unaffected muscles of nine representative FSHD patients. We demonstrate that mesoangioblasts can be efficiently isolated from FSHD muscle biopsies and expanded to an amount of cells necessary to transplant into an adult patient. Proliferating mesoangioblasts from all muscles examined did not differ from controls in terms of morphology, phenotype, proliferation rate, or clonogenicity. However, their differentiation ability into skeletal muscle was variably impaired, and this defect correlated with the overall disease severity and the degree of histopathologic abnormalities of the muscle of origin. A remarkable differentiation defect was observed in mesoangioblasts from all mildly to severely affected FSHD muscles, whereas mesoangioblasts from morphologically normal muscles showed no myogenic differentiation block. Our study could open the way to cell therapy for FSHD patients to limit muscle damage in vivo through the use of autologous mesoangioblasts capable of reaching damaged muscles and engrafting into them, without requiring immune suppression or genetic correction in vitro. Disclosure of potential conflicts of interest is found at the end of this article."}
{"STANDARD_NAME":"GRAHAM_CML_QUIESCENT_VS_CML_DIVIDING_DN","SYSTEMATIC_NAME":"M629","ORGANISM":"Homo sapiens","PMID":"17717066","AUTHORS":"Graham SM,Vass JK,Holyoake TL,Graham GJ","EXACT_SOURCE":"Table 2S: Ratio CD/CG > 3","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in quiescent (G0) vs dividing (M) CD34+ [GeneID=8842] cells isolated from peripheral blood of CML (chronic myeloid leukemia) patients.","DESCRIPTION_FULL":"Quiescent and dividing hemopoietic stem cells (HSC) display marked differences in their ability to move between the peripheral circulation and the bone marrow. Specifically, long-term engraftment potential predominantly resides in the quiescent HSC subfraction, and G-CSF mobilization results in the preferential accumulation of quiescent HSC in the periphery. In contrast, stem cells from chronic myeloid leukemia (CML) patients display a constitutive presence in the circulation. To understand the molecular basis for this, we have used microarray technology to analyze the transcriptional differences between dividing and quiescent, normal, and CML-derived CD34+ cells. Our data show a remarkable transcriptional similarity between normal and CML dividing cells, suggesting that the effects of BCR-ABL on the CD34+ cell transcriptome are more limited than previously thought. In addition, we show that quiescent CML cells are more similar to their dividing counterparts than quiescent normal cells are to theirs. We also show these transcriptional differences to be reflected in the altered proliferative activity of normal and CML CD34+ cells. Of the most interest is that the major class of genes that is more abundant in the quiescent cells compared with the dividing cells encodes members of the chemokine family. We propose a role for chemokines expressed by quiescent HSC in the orchestration of CD34+ cell mobilization. Disclosure of potential conflicts of interest is found at the end of this article."}
{"STANDARD_NAME":"GRAHAM_CML_QUIESCENT_VS_NORMAL_QUIESCENT_DN","SYSTEMATIC_NAME":"M11636","ORGANISM":"Homo sapiens","PMID":"17717066","AUTHORS":"Graham SM,Vass JK,Holyoake TL,Graham GJ","EXACT_SOURCE":"Table 3S: Ratio NG/CG > 3","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in quiescent (G0) CD34+ [GeneID=8842] cells isolated from peripheral blood of CML (chronic myeloid leukemia) patients compared to the quiescent cells from normal donors.","DESCRIPTION_FULL":"Quiescent and dividing hemopoietic stem cells (HSC) display marked differences in their ability to move between the peripheral circulation and the bone marrow. Specifically, long-term engraftment potential predominantly resides in the quiescent HSC subfraction, and G-CSF mobilization results in the preferential accumulation of quiescent HSC in the periphery. In contrast, stem cells from chronic myeloid leukemia (CML) patients display a constitutive presence in the circulation. To understand the molecular basis for this, we have used microarray technology to analyze the transcriptional differences between dividing and quiescent, normal, and CML-derived CD34+ cells. Our data show a remarkable transcriptional similarity between normal and CML dividing cells, suggesting that the effects of BCR-ABL on the CD34+ cell transcriptome are more limited than previously thought. In addition, we show that quiescent CML cells are more similar to their dividing counterparts than quiescent normal cells are to theirs. We also show these transcriptional differences to be reflected in the altered proliferative activity of normal and CML CD34+ cells. Of the most interest is that the major class of genes that is more abundant in the quiescent cells compared with the dividing cells encodes members of the chemokine family. We propose a role for chemokines expressed by quiescent HSC in the orchestration of CD34+ cell mobilization. Disclosure of potential conflicts of interest is found at the end of this article."}
{"STANDARD_NAME":"GRAHAM_CML_QUIESCENT_VS_NORMAL_DIVIDING_DN","SYSTEMATIC_NAME":"M13254","ORGANISM":"Homo sapiens","PMID":"17717066","AUTHORS":"Graham SM,Vass JK,Holyoake TL,Graham GJ","EXACT_SOURCE":"Table 4S: Ratio NDvCG > 3","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in quescent CD34+ [GeneID=8842] cells isolated from peripheral blood of CML (chronic myeloblastic leukemia) patients compared to the dividing cells from normal donors.","DESCRIPTION_FULL":"Quiescent and dividing hemopoietic stem cells (HSC) display marked differences in their ability to move between the peripheral circulation and the bone marrow. Specifically, long-term engraftment potential predominantly resides in the quiescent HSC subfraction, and G-CSF mobilization results in the preferential accumulation of quiescent HSC in the periphery. In contrast, stem cells from chronic myeloid leukemia (CML) patients display a constitutive presence in the circulation. To understand the molecular basis for this, we have used microarray technology to analyze the transcriptional differences between dividing and quiescent, normal, and CML-derived CD34+ cells. Our data show a remarkable transcriptional similarity between normal and CML dividing cells, suggesting that the effects of BCR-ABL on the CD34+ cell transcriptome are more limited than previously thought. In addition, we show that quiescent CML cells are more similar to their dividing counterparts than quiescent normal cells are to theirs. We also show these transcriptional differences to be reflected in the altered proliferative activity of normal and CML CD34+ cells. Of the most interest is that the major class of genes that is more abundant in the quiescent cells compared with the dividing cells encodes members of the chemokine family. We propose a role for chemokines expressed by quiescent HSC in the orchestration of CD34+ cell mobilization. Disclosure of potential conflicts of interest is found at the end of this article."}
{"STANDARD_NAME":"GRAHAM_CML_DIVIDING_VS_NORMAL_DIVIDING_UP","SYSTEMATIC_NAME":"M19476","ORGANISM":"Homo sapiens","PMID":"17717066","AUTHORS":"Graham SM,Vass JK,Holyoake TL,Graham GJ","EXACT_SOURCE":"Table 5S: Ratio CDvND > 3","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in dividing CD34+ [GeneID=8842] cells isolated from peripheral blood of CML (chronic myeloid leukemia) patients compared to the dividing cells from normal donors.","DESCRIPTION_FULL":"Quiescent and dividing hemopoietic stem cells (HSC) display marked differences in their ability to move between the peripheral circulation and the bone marrow. Specifically, long-term engraftment potential predominantly resides in the quiescent HSC subfraction, and G-CSF mobilization results in the preferential accumulation of quiescent HSC in the periphery. In contrast, stem cells from chronic myeloid leukemia (CML) patients display a constitutive presence in the circulation. To understand the molecular basis for this, we have used microarray technology to analyze the transcriptional differences between dividing and quiescent, normal, and CML-derived CD34+ cells. Our data show a remarkable transcriptional similarity between normal and CML dividing cells, suggesting that the effects of BCR-ABL on the CD34+ cell transcriptome are more limited than previously thought. In addition, we show that quiescent CML cells are more similar to their dividing counterparts than quiescent normal cells are to theirs. We also show these transcriptional differences to be reflected in the altered proliferative activity of normal and CML CD34+ cells. Of the most interest is that the major class of genes that is more abundant in the quiescent cells compared with the dividing cells encodes members of the chemokine family. We propose a role for chemokines expressed by quiescent HSC in the orchestration of CD34+ cell mobilization. Disclosure of potential conflicts of interest is found at the end of this article."}
{"STANDARD_NAME":"GRAHAM_CML_DIVIDING_VS_NORMAL_DIVIDING_DN","SYSTEMATIC_NAME":"M19367","ORGANISM":"Homo sapiens","PMID":"17717066","AUTHORS":"Graham SM,Vass JK,Holyoake TL,Graham GJ","EXACT_SOURCE":"Table 5S: Ratio NDvCD > 3","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in dividing CD34+ [GeneID=8842] cells isolated from peripheral blood of CML (chronic myeloid leukemia) patients compared to the dividing cells from normal donors.","DESCRIPTION_FULL":"Quiescent and dividing hemopoietic stem cells (HSC) display marked differences in their ability to move between the peripheral circulation and the bone marrow. Specifically, long-term engraftment potential predominantly resides in the quiescent HSC subfraction, and G-CSF mobilization results in the preferential accumulation of quiescent HSC in the periphery. In contrast, stem cells from chronic myeloid leukemia (CML) patients display a constitutive presence in the circulation. To understand the molecular basis for this, we have used microarray technology to analyze the transcriptional differences between dividing and quiescent, normal, and CML-derived CD34+ cells. Our data show a remarkable transcriptional similarity between normal and CML dividing cells, suggesting that the effects of BCR-ABL on the CD34+ cell transcriptome are more limited than previously thought. In addition, we show that quiescent CML cells are more similar to their dividing counterparts than quiescent normal cells are to theirs. We also show these transcriptional differences to be reflected in the altered proliferative activity of normal and CML CD34+ cells. Of the most interest is that the major class of genes that is more abundant in the quiescent cells compared with the dividing cells encodes members of the chemokine family. We propose a role for chemokines expressed by quiescent HSC in the orchestration of CD34+ cell mobilization. Disclosure of potential conflicts of interest is found at the end of this article."}
{"STANDARD_NAME":"GRAHAM_CML_DIVIDING_VS_NORMAL_QUIESCENT_DN","SYSTEMATIC_NAME":"M4235","ORGANISM":"Homo sapiens","PMID":"17717066","AUTHORS":"Graham SM,Vass JK,Holyoake TL,Graham GJ","EXACT_SOURCE":"Table 6S: Ratio NGvCD > 3","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in quiescent CD34+ [GeneID=8842] cells isolated from peripheral blood of normal donors compared to the dividing cells from CML (chronic myeloid leukemia) patients.","DESCRIPTION_FULL":"Quiescent and dividing hemopoietic stem cells (HSC) display marked differences in their ability to move between the peripheral circulation and the bone marrow. Specifically, long-term engraftment potential predominantly resides in the quiescent HSC subfraction, and G-CSF mobilization results in the preferential accumulation of quiescent HSC in the periphery. In contrast, stem cells from chronic myeloid leukemia (CML) patients display a constitutive presence in the circulation. To understand the molecular basis for this, we have used microarray technology to analyze the transcriptional differences between dividing and quiescent, normal, and CML-derived CD34+ cells. Our data show a remarkable transcriptional similarity between normal and CML dividing cells, suggesting that the effects of BCR-ABL on the CD34+ cell transcriptome are more limited than previously thought. In addition, we show that quiescent CML cells are more similar to their dividing counterparts than quiescent normal cells are to theirs. We also show these transcriptional differences to be reflected in the altered proliferative activity of normal and CML CD34+ cells. Of the most interest is that the major class of genes that is more abundant in the quiescent cells compared with the dividing cells encodes members of the chemokine family. We propose a role for chemokines expressed by quiescent HSC in the orchestration of CD34+ cell mobilization. Disclosure of potential conflicts of interest is found at the end of this article."}
{"STANDARD_NAME":"GRAHAM_NORMAL_QUIESCENT_VS_NORMAL_DIVIDING_UP","SYSTEMATIC_NAME":"M4406","ORGANISM":"Homo sapiens","PMID":"17717066","AUTHORS":"Graham SM,Vass JK,Holyoake TL,Graham GJ","EXACT_SOURCE":"Table 7S: Ratio NG/ND > 3","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in quiescent vs dividing CD34+ [GeneID=8842] cells isolated from peripheral blood of normal donors.","DESCRIPTION_FULL":"Quiescent and dividing hemopoietic stem cells (HSC) display marked differences in their ability to move between the peripheral circulation and the bone marrow. Specifically, long-term engraftment potential predominantly resides in the quiescent HSC subfraction, and G-CSF mobilization results in the preferential accumulation of quiescent HSC in the periphery. In contrast, stem cells from chronic myeloid leukemia (CML) patients display a constitutive presence in the circulation. To understand the molecular basis for this, we have used microarray technology to analyze the transcriptional differences between dividing and quiescent, normal, and CML-derived CD34+ cells. Our data show a remarkable transcriptional similarity between normal and CML dividing cells, suggesting that the effects of BCR-ABL on the CD34+ cell transcriptome are more limited than previously thought. In addition, we show that quiescent CML cells are more similar to their dividing counterparts than quiescent normal cells are to theirs. We also show these transcriptional differences to be reflected in the altered proliferative activity of normal and CML CD34+ cells. Of the most interest is that the major class of genes that is more abundant in the quiescent cells compared with the dividing cells encodes members of the chemokine family. We propose a role for chemokines expressed by quiescent HSC in the orchestration of CD34+ cell mobilization. Disclosure of potential conflicts of interest is found at the end of this article."}
{"STANDARD_NAME":"BIDUS_METASTASIS_DN","SYSTEMATIC_NAME":"M8818","ORGANISM":"Homo sapiens","PMID":"16397028","AUTHORS":"Bidus MA,Risinger JI,Chandramouli GV,Dainty LA,Litzi TJ,Berchuck A,Barrett JC,Maxwell GL","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in endometroid endometrial tumors from patients with lymph node metastases compared to those without the metastases.","DESCRIPTION_FULL":"PURPOSE: To characterize the gene expression profiles of endometrioid endometrial cancers associated with lymph node metastasis in an effort to identify genes associated with metastatic spread. EXPERIMENTAL DESIGN: Tumors from 41 patients with endometrioid endometrial cancer grossly confined to the uterine cavity were evaluated. Positive lymph nodes were noted in 12 of 41 patients. RNA was analyzed for gene expression using the Affymetrix HG133A and HG133B GeneChip set, representing 45,000 array features covering >28,000 UniGene clusters. Data analysis was done using multidimensional scaling, binary comparison, and hierarchical clustering. Gene expression for several differentially expressed genes was examined using quantitative PCR. RESULTS: Gene expression data was obtained from 30,964 genes that were detected in at least 5% of the cases. Supervised analysis of node-positive versus node-negative cases indicated that 450 genes were significantly differentially expressed between the two classes at P < 0.005, 81 of which were differentially expressed by at least 2-fold at P < 0.005. Overexpressed genes included two cell cycle checkpoint genes, CDC2 and MAD2L1, which have previously been described in association with lymph node metastasis in other cancer types. The ZIC2 zinc finger gene was overexpressed in endometrial cancers with positive nodes versus those with negative nodes. CONCLUSION: Gene expression profiling of the primary tumors in patients with endometrioid endometrial cancers seems promising for identifying genes associated with lymph node metastasis. Future studies should address whether the status of nodal metastasis can be determined from the expression profiles of preoperative tissue specimens."}
{"STANDARD_NAME":"WAMUNYOKOLI_OVARIAN_CANCER_LMP_DN","SYSTEMATIC_NAME":"M10091","ORGANISM":"Homo sapiens","PMID":"16467078","AUTHORS":"Wamunyokoli FW,Bonome T,Lee JY,Feltmate CM,Welch WR,Radonovich M,Pise-Masison C,Brady J,Hao K,Berkowitz RS,Mok S,Birrer MJ","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in mucinous ovarian carcinoma tumors of low malignant potential (LMP) compared to normal ovarian surface epithelium tissue.","DESCRIPTION_FULL":"PURPOSE: To elucidate the molecular mechanisms contributing to the unique clinicopathologic characteristics of mucinous ovarian carcinoma, global gene expression profiling of mucinous ovarian tumors was carried out. EXPERIMENTAL DESIGN: Gene expression profiling was completed for 25 microdissected mucinous tumors [6 cystadenomas, 10 low malignant potential (LMP) tumors, and 9 adenocarcinomas] using Affymetrix U133 Plus 2.0 oligonucleotide microarrays. Hierarchical clustering and binary tree prediction analysis were used to determine the relationships among mucinous specimens and a series of previously profiled microdissected serous tumors and normal ovarian surface epithelium. PathwayAssist software was used to identify putative signaling pathways involved in the development of mucinous LMP tumors and adenocarcinomas. RESULTS: Comparison of the gene profiles between mucinous tumors and normal ovarian epithelial cells identified 1,599, 2,916, and 1,765 differentially expressed in genes in the cystadenomas, LMP tumors, and adenocarcinomas, respectively. Hierarchical clustering showed that mucinous and serous LMP tumors are distinct. In addition, there was a close association of mucinous LMP tumors and adenocarcinomas with serous adenocarcinomas. Binary tree prediction revealed increased heterogeneity among mucinous tumors compared with their serous counterparts. Furthermore, the cystadenomas coexpressed a subset of genes that were differentially regulated in LMP and adenocarcinoma specimens compared with normal ovarian surface epithelium. PathwayAssist highlighted pathways with expression of genes involved in drug resistance in both LMP and adenocarcinoma samples. In addition, genes involved in cytoskeletal regulation were specifically up-regulated in the mucinous adenocarcinomas. CONCLUSIONS: These data provide a useful basis for understanding the molecular events leading to the development and progression of mucinous ovarian cancer."}
{"STANDARD_NAME":"WAMUNYOKOLI_OVARIAN_CANCER_GRADES_1_2_DN","SYSTEMATIC_NAME":"M707","ORGANISM":"Homo sapiens","PMID":"16467078","AUTHORS":"Wamunyokoli FW,Bonome T,Lee JY,Feltmate CM,Welch WR,Radonovich M,Pise-Masison C,Brady J,Hao K,Berkowitz RS,Mok S,Birrer MJ","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in mucinous ovarian carcinoma tumors of grades 1 and 2 compared to the normal ovarian survace epithelium tissue.","DESCRIPTION_FULL":"PURPOSE: To elucidate the molecular mechanisms contributing to the unique clinicopathologic characteristics of mucinous ovarian carcinoma, global gene expression profiling of mucinous ovarian tumors was carried out. EXPERIMENTAL DESIGN: Gene expression profiling was completed for 25 microdissected mucinous tumors [6 cystadenomas, 10 low malignant potential (LMP) tumors, and 9 adenocarcinomas] using Affymetrix U133 Plus 2.0 oligonucleotide microarrays. Hierarchical clustering and binary tree prediction analysis were used to determine the relationships among mucinous specimens and a series of previously profiled microdissected serous tumors and normal ovarian surface epithelium. PathwayAssist software was used to identify putative signaling pathways involved in the development of mucinous LMP tumors and adenocarcinomas. RESULTS: Comparison of the gene profiles between mucinous tumors and normal ovarian epithelial cells identified 1,599, 2,916, and 1,765 differentially expressed in genes in the cystadenomas, LMP tumors, and adenocarcinomas, respectively. Hierarchical clustering showed that mucinous and serous LMP tumors are distinct. In addition, there was a close association of mucinous LMP tumors and adenocarcinomas with serous adenocarcinomas. Binary tree prediction revealed increased heterogeneity among mucinous tumors compared with their serous counterparts. Furthermore, the cystadenomas coexpressed a subset of genes that were differentially regulated in LMP and adenocarcinoma specimens compared with normal ovarian surface epithelium. PathwayAssist highlighted pathways with expression of genes involved in drug resistance in both LMP and adenocarcinoma samples. In addition, genes involved in cytoskeletal regulation were specifically up-regulated in the mucinous adenocarcinomas. CONCLUSIONS: These data provide a useful basis for understanding the molecular events leading to the development and progression of mucinous ovarian cancer."}
{"STANDARD_NAME":"MAYBURD_RESPONSE_TO_L663536_UP","SYSTEMATIC_NAME":"M12002","ORGANISM":"Homo sapiens","PMID":"16551867","AUTHORS":"Mayburd AL,Martlínez A,Sackett D,Liu H,Shih J,Tauler J,Avis I,Mulshine JL","GEOID":"GSE3202","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in H720 cells (lung cancer) after treatment with L663536 (MK886) [PubChem=105049], an inhibitor of leukotriene biosynthesis.","DESCRIPTION_FULL":"The small molecular inhibitor MK886 is known to block 5-lipoxygenase-activating protein ALOX5AP and shows antitumor activity in multiple human cell lines. The broad antitumor therapeutic window reported in vivo for MK886 in rodents supports further consideration of this structural class. Better understanding of the mode of action of the drug is important for application in humans to take place. Affymetrix microarray study was conducted to explore MK886 pharmacologic mechanism. Ingenuity Pathway Analysis software was applied to validate the results at the transcriptional level by putting them in the context of an experimental proteomic network. Genes most affected by MK886 included actin B and focal adhesion components. A subsequent National Cancer Institute-60 panel study, RT-PCR validation followed by confocal microscopy, and Western blotting also pointed to actin B down-regulation, filamentous actin loss, and disorganization of the transcription machinery. In agreement with these observations, MK886 was found to enhance the effect of UV radiation in H720 lung cancer cell line. In light of the modification of cytoskeleton and cell motility by lipid phosphoinositide 3-kinase products, MK886 interaction with actin B might be biologically important. The low toxicity of MK886 in vivo was modeled and explained by binding and transport by dietary lipids. The rate of lipid absorbance is generally higher for tumors, suggesting a promise of a targeted liposome-based delivery system for this drug. These results suggest a novel antitumor pharmacologic mechanism."}
{"STANDARD_NAME":"MAYBURD_RESPONSE_TO_L663536_DN","SYSTEMATIC_NAME":"M14796","ORGANISM":"Homo sapiens","PMID":"16551867","AUTHORS":"Mayburd AL,Martlínez A,Sackett D,Liu H,Shih J,Tauler J,Avis I,Mulshine JL","GEOID":"GSE3202","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in H720 cells (lung cancer) after treatment with L663536 (MK886) [PubChem=105049], an inhibitor of leukotriene biosynthesis.","DESCRIPTION_FULL":"The small molecular inhibitor MK886 is known to block 5-lipoxygenase-activating protein ALOX5AP and shows antitumor activity in multiple human cell lines. The broad antitumor therapeutic window reported in vivo for MK886 in rodents supports further consideration of this structural class. Better understanding of the mode of action of the drug is important for application in humans to take place. Affymetrix microarray study was conducted to explore MK886 pharmacologic mechanism. Ingenuity Pathway Analysis software was applied to validate the results at the transcriptional level by putting them in the context of an experimental proteomic network. Genes most affected by MK886 included actin B and focal adhesion components. A subsequent National Cancer Institute-60 panel study, RT-PCR validation followed by confocal microscopy, and Western blotting also pointed to actin B down-regulation, filamentous actin loss, and disorganization of the transcription machinery. In agreement with these observations, MK886 was found to enhance the effect of UV radiation in H720 lung cancer cell line. In light of the modification of cytoskeleton and cell motility by lipid phosphoinositide 3-kinase products, MK886 interaction with actin B might be biologically important. The low toxicity of MK886 in vivo was modeled and explained by binding and transport by dietary lipids. The rate of lipid absorbance is generally higher for tumors, suggesting a promise of a targeted liposome-based delivery system for this drug. These results suggest a novel antitumor pharmacologic mechanism."}
{"STANDARD_NAME":"WATANABE_ULCERATIVE_COLITIS_WITH_CANCER_UP","SYSTEMATIC_NAME":"M12084","ORGANISM":"Homo sapiens","PMID":"17255260","AUTHORS":"Watanabe T,Kobunai T,Toda E,Kanazawa T,Kazama Y,Tanaka J,Tanaka T,Yamamoto Y,Hata K,Kojima T,Yokoyama T,Konishi T,Okayama Y,Sugimoto Y,Oka T,Sasaki S,Ajioka Y,Muto T,Nagawa H","GEOID":"GSE3629","EXACT_SOURCE":"Table 1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in non-neoplastic rectal mucosa samples from patients having cancer associated with ulcerative collitis, compared to those who did not have the cancer.","DESCRIPTION_FULL":"PURPOSE: Ulcerative colitis (UC) is associated with a high risk of colorectal cancer. To identify genes that could predict the development of cancer in UC, we conducted a DNA microarray analysis using nonneoplastic rectal mucosa of UC patients. EXPERIMENTAL DESIGN: Gene expression in nonneoplastic mucosa of 53 UC patients were examined. Gene expression profiles were examined using human Genome U133 Plus 2.0 gene chip array (Affymetrix). Among 53 UC patients, 10 had UC-associated cancer (UC-Ca group) whereas 43 did not (UC-NonCa group). RESULTS: By comparing gene expression profiles of nonneoplastic rectal mucosae between the UC-Ca and UC-NonCa groups, we could identify 40 genes that were differentially expressed between two groups. The list of discriminating genes included low-density lipoprotein receptor-related protein (LRP5 and LRP6). Previous studies suggested that LRP5 and LRP6 expression promotes cancer cell proliferation and tumorigenesis and are considered as candidate oncogenes. In the present study, both LRP5 and LRP6 showed significantly higher expression in the UC-Ca group, which suggests the importance of these genes in the development of UC-associated colorectal cancers. With the 40 selected discriminating genes, we did class prediction of the development of colorectal neoplasms in UC patients. Using the k-nearest neighbor method and the support vector machine, we could predict the development of UC-associated neoplasms with an accuracy of 86.8% and 98.1%, respectively. CONCLUSIONS: These findings have important implications for the early detection of malignant lesions in UC and may provide directions for future research into the molecular mechanisms of UC-associated cancer."}
{"STANDARD_NAME":"WATANABE_ULCERATIVE_COLITIS_WITH_CANCER_DN","SYSTEMATIC_NAME":"M15662","ORGANISM":"Homo sapiens","PMID":"17255260","AUTHORS":"Watanabe T,Kobunai T,Toda E,Kanazawa T,Kazama Y,Tanaka J,Tanaka T,Yamamoto Y,Hata K,Kojima T,Yokoyama T,Konishi T,Okayama Y,Sugimoto Y,Oka T,Sasaki S,Ajioka Y,Muto T,Nagawa H","GEOID":"GSE3629","EXACT_SOURCE":"Table 1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in non-neoplastic rectal mucosa samples from patients having cancer associated with ulcerative collitis, compared to those who did not have the cancer.","DESCRIPTION_FULL":"PURPOSE: Ulcerative colitis (UC) is associated with a high risk of colorectal cancer. To identify genes that could predict the development of cancer in UC, we conducted a DNA microarray analysis using nonneoplastic rectal mucosa of UC patients. EXPERIMENTAL DESIGN: Gene expression in nonneoplastic mucosa of 53 UC patients were examined. Gene expression profiles were examined using human Genome U133 Plus 2.0 gene chip array (Affymetrix). Among 53 UC patients, 10 had UC-associated cancer (UC-Ca group) whereas 43 did not (UC-NonCa group). RESULTS: By comparing gene expression profiles of nonneoplastic rectal mucosae between the UC-Ca and UC-NonCa groups, we could identify 40 genes that were differentially expressed between two groups. The list of discriminating genes included low-density lipoprotein receptor-related protein (LRP5 and LRP6). Previous studies suggested that LRP5 and LRP6 expression promotes cancer cell proliferation and tumorigenesis and are considered as candidate oncogenes. In the present study, both LRP5 and LRP6 showed significantly higher expression in the UC-Ca group, which suggests the importance of these genes in the development of UC-associated colorectal cancers. With the 40 selected discriminating genes, we did class prediction of the development of colorectal neoplasms in UC patients. Using the k-nearest neighbor method and the support vector machine, we could predict the development of UC-associated neoplasms with an accuracy of 86.8% and 98.1%, respectively. CONCLUSIONS: These findings have important implications for the early detection of malignant lesions in UC and may provide directions for future research into the molecular mechanisms of UC-associated cancer."}
{"STANDARD_NAME":"RODRIGUES_THYROID_CARCINOMA_UP","SYSTEMATIC_NAME":"M3910","ORGANISM":"Homo sapiens","PMID":"17406368","AUTHORS":"Rodrigues RF,Roque L,Krug T,Leite V","EXACT_SOURCE":"Table 5S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in poorly differentiated thyroid carcinoma (PDTC) compared to anaplastic thyroid carcinoma (ATC).","DESCRIPTION_FULL":"Information on gene alterations associated to poorly differentiated (PDTC) and anaplastic thyroid carcinomas (ATC) is scarce. Using human cancer cell lines as a tool for gene discovery, we performed a cytogenetic and oligo-array analysis in five new cell lines derived from two PDTC and three ATC. In PDTC we evidenced, as important, the involvement of the MAPK/ERK kinase pathway, and downregulation of a group of suppressor genes that include E-cadherin. In ATC, downregulation of a specific group of oncosuppressor genes was also observed. Our ATC cell lines presented chromosomal markers of gene amplification, and we were able to identify for the first time the nature of the involved amplicon target genes. We found that the main molecular differences between the two cell line types were related to signal transduction pathways, cell adhesion and motility process. TaqMan experiments performed for five amplicon target genes and for two genes, which allowed a clear distinction between ATC and PDTC: CDH13 and PLAU corroborated array results, not only in the cell lines, but also in an additional set of primary 14 PDTC and three ATC. We suggest that our findings may represent new tools for the development of more effective therapies to the hitherto untreatable ATC."}
{"STANDARD_NAME":"RODRIGUES_THYROID_CARCINOMA_DN","SYSTEMATIC_NAME":"M9814","ORGANISM":"Homo sapiens","PMID":"17406368","AUTHORS":"Rodrigues RF,Roque L,Krug T,Leite V","EXACT_SOURCE":"Table 5S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in poorly differentiated thyroid carcinoma (PDTC) compared to anaplastic thyroid carcinoma (ATC).","DESCRIPTION_FULL":"Information on gene alterations associated to poorly differentiated (PDTC) and anaplastic thyroid carcinomas (ATC) is scarce. Using human cancer cell lines as a tool for gene discovery, we performed a cytogenetic and oligo-array analysis in five new cell lines derived from two PDTC and three ATC. In PDTC we evidenced, as important, the involvement of the MAPK/ERK kinase pathway, and downregulation of a group of suppressor genes that include E-cadherin. In ATC, downregulation of a specific group of oncosuppressor genes was also observed. Our ATC cell lines presented chromosomal markers of gene amplification, and we were able to identify for the first time the nature of the involved amplicon target genes. We found that the main molecular differences between the two cell line types were related to signal transduction pathways, cell adhesion and motility process. TaqMan experiments performed for five amplicon target genes and for two genes, which allowed a clear distinction between ATC and PDTC: CDH13 and PLAU corroborated array results, not only in the cell lines, but also in an additional set of primary 14 PDTC and three ATC. We suggest that our findings may represent new tools for the development of more effective therapies to the hitherto untreatable ATC."}
{"STANDARD_NAME":"GOZGIT_ESR1_TARGETS_UP","SYSTEMATIC_NAME":"M13944","ORGANISM":"Homo sapiens","PMID":"17726467","AUTHORS":"Gozgit JM,Pentecost BT,Marconi SA,Ricketts-Loriaux RS,Otis CN,Arcaro KF","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in TMX2-28 cells (breast cancer) which do not express ESR1 [GeneID=2099]) compared to the parental MCF7 cells which do.","DESCRIPTION_FULL":"We have used a novel variant of the human oestrogen receptor (ER)-positive MCF-7 cell line, TMX2-28, as a model to study breast cancer. TMX2-28 cells show no detectable levels of mRNA or protein expression for the ER and express basal cytokeratins (CKs) 5, 14, and 17. cDNA microarray comparison between TMX2-28 and its parent cell line, MCF-7, identified 1402 differentially expressed transcripts, one of which was, phospholipase D1 (PLD1). Using real-time RT-PCR, we confirmed that PLD1 mRNA levels are 10-fold higher in TMX2-28 cells than in MCF-7 cells. We next examined PLD1 expression in human breast carcinomas. Phospholipase D1 mRNA levels were higher in breast tumours that expressed high-mRNA levels of basal CKs 5 and/or 17, but PLD1 mRNA levels were not significantly higher in ER-negative tumours. Phospholipase D1 protein was overexpressed in 10 of 42 (24%) breast tumours examined by IHC. Phospholipase D1 was overexpressed in 6 of 31 ER-positive tumours and 4 of 11 ER-negative tumours. Phospholipase D1 was overexpressed in three of the four tumours that showed high CK5/17 expression. Five PLD1-positive tumours were negative for phospho-Akt expression, but positive for phospho-mammalian target of rapamycin (mTOR) expression. The other five PLD1-positive breast tumours showed positive expression for phospho-Akt; however, only two of these cases were positive for phospho-mTOR. In this study, we report that PLD1 and phospho-mTOR are coexpressed in a subset of phospho-Akt-negative breast carcinomas."}
{"STANDARD_NAME":"HAHTOLA_SEZARY_SYNDROM_UP","SYSTEMATIC_NAME":"M14577","ORGANISM":"Homo sapiens","PMID":"16914566","AUTHORS":"Hahtola S,Tuomela S,Elo L,Häkkinen T,Karenko L,Nedoszytko B,Heikkilä H,Saarialho-Kere U,Roszkiewicz J,Aittokallio T,Lahesmaa R,Ranki A","EXACT_SOURCE":"Table 3S: M >= 1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in monocytes isolated from peripheral blood samples of Sezary syndrom patients compared to those from healthy normal donors.","DESCRIPTION_FULL":"PURPOSE: Increased production of Th2 cytokines characterizes Sezary syndrome, the leukemic form of cutaneous T-cell lymphomas (CTCL). To identify the molecular background and to study whether shared by the most common CTCL subtype, mycosis fungoides, we analyzed the gene expression profiles in both subtypes. EXPERIMENTAL DESIGN: Freshly isolated cells from 30 samples, representing skin, blood, and enriched CD4(+) cell populations of mycosis fungoides and Sezary syndrome, were analyzed with Affymetrix (Santa Clara, CA) oligonucleotide microarrays, quantitative PCR, or immunohistochemistry. The gene expression profiles were combined with findings of comparative genomic hybridization of the same samples to identify chromosomal changes affecting the aberrant gene expression. RESULTS: We identified a set of Th1-specific genes [e.g., TBX21 (T-bet), NKG7, and SCYA5 (RANTES)] to be down-regulated in Sezary syndrome as well as in a proportion of mycosis fungoides samples. In both Sezary syndrome and mycosis fungoides blood samples, the S100P and LIR9 gene expression was up-regulated. In lesional skin, IL7R and CD52 were up-regulated. Integration of comparative genomic hybridization and transcriptomic data identified chromosome arms 1q, 3p, 3q, 4q, 12q, 16p, and 16q as likely targets for new CTCL-associated gene aberrations. CONCLUSIONS: Our findings revealed several new genes involved in CTCL pathogenesis and potential therapeutic targets. Down-regulation of a set of genes involved in Th1 polarization, including the major Th1-polarizing factor, TBX21, was for the first time associated with CTCL. In addition, a plausible explanation for the proliferative response of CTCL cells to locally produced interleukin-7 was revealed."}
{"STANDARD_NAME":"HAHTOLA_SEZARY_SYNDROM_DN","SYSTEMATIC_NAME":"M18968","ORGANISM":"Homo sapiens","PMID":"16914566","AUTHORS":"Hahtola S,Tuomela S,Elo L,Häkkinen T,Karenko L,Nedoszytko B,Heikkilä H,Saarialho-Kere U,Roszkiewicz J,Aittokallio T,Lahesmaa R,Ranki A","EXACT_SOURCE":"Table 3S: M =< -1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in monocytes isolated from peripheral blood samples of Sezary syndrom patients compared to those from healthy normal donors.","DESCRIPTION_FULL":"PURPOSE: Increased production of Th2 cytokines characterizes Sezary syndrome, the leukemic form of cutaneous T-cell lymphomas (CTCL). To identify the molecular background and to study whether shared by the most common CTCL subtype, mycosis fungoides, we analyzed the gene expression profiles in both subtypes. EXPERIMENTAL DESIGN: Freshly isolated cells from 30 samples, representing skin, blood, and enriched CD4(+) cell populations of mycosis fungoides and Sezary syndrome, were analyzed with Affymetrix (Santa Clara, CA) oligonucleotide microarrays, quantitative PCR, or immunohistochemistry. The gene expression profiles were combined with findings of comparative genomic hybridization of the same samples to identify chromosomal changes affecting the aberrant gene expression. RESULTS: We identified a set of Th1-specific genes [e.g., TBX21 (T-bet), NKG7, and SCYA5 (RANTES)] to be down-regulated in Sezary syndrome as well as in a proportion of mycosis fungoides samples. In both Sezary syndrome and mycosis fungoides blood samples, the S100P and LIR9 gene expression was up-regulated. In lesional skin, IL7R and CD52 were up-regulated. Integration of comparative genomic hybridization and transcriptomic data identified chromosome arms 1q, 3p, 3q, 4q, 12q, 16p, and 16q as likely targets for new CTCL-associated gene aberrations. CONCLUSIONS: Our findings revealed several new genes involved in CTCL pathogenesis and potential therapeutic targets. Down-regulation of a set of genes involved in Th1 polarization, including the major Th1-polarizing factor, TBX21, was for the first time associated with CTCL. In addition, a plausible explanation for the proliferative response of CTCL cells to locally produced interleukin-7 was revealed."}
{"STANDARD_NAME":"HAHTOLA_MYCOSIS_FUNGOIDES_SKIN_DN","SYSTEMATIC_NAME":"M5570","ORGANISM":"Homo sapiens","PMID":"16914566","AUTHORS":"Hahtola S,Tuomela S,Elo L,Häkkinen T,Karenko L,Nedoszytko B,Heikkilä H,Saarialho-Kere U,Roszkiewicz J,Aittokallio T,Lahesmaa R,Ranki A","EXACT_SOURCE":"Table 4S: M =< -1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in lesional skin biopsies from mycosis fundoides patients compared to the normal skin samples.","DESCRIPTION_FULL":"PURPOSE: Increased production of Th2 cytokines characterizes Sezary syndrome, the leukemic form of cutaneous T-cell lymphomas (CTCL). To identify the molecular background and to study whether shared by the most common CTCL subtype, mycosis fungoides, we analyzed the gene expression profiles in both subtypes. EXPERIMENTAL DESIGN: Freshly isolated cells from 30 samples, representing skin, blood, and enriched CD4(+) cell populations of mycosis fungoides and Sezary syndrome, were analyzed with Affymetrix (Santa Clara, CA) oligonucleotide microarrays, quantitative PCR, or immunohistochemistry. The gene expression profiles were combined with findings of comparative genomic hybridization of the same samples to identify chromosomal changes affecting the aberrant gene expression. RESULTS: We identified a set of Th1-specific genes [e.g., TBX21 (T-bet), NKG7, and SCYA5 (RANTES)] to be down-regulated in Sezary syndrome as well as in a proportion of mycosis fungoides samples. In both Sezary syndrome and mycosis fungoides blood samples, the S100P and LIR9 gene expression was up-regulated. In lesional skin, IL7R and CD52 were up-regulated. Integration of comparative genomic hybridization and transcriptomic data identified chromosome arms 1q, 3p, 3q, 4q, 12q, 16p, and 16q as likely targets for new CTCL-associated gene aberrations. CONCLUSIONS: Our findings revealed several new genes involved in CTCL pathogenesis and potential therapeutic targets. Down-regulation of a set of genes involved in Th1 polarization, including the major Th1-polarizing factor, TBX21, was for the first time associated with CTCL. In addition, a plausible explanation for the proliferative response of CTCL cells to locally produced interleukin-7 was revealed."}
{"STANDARD_NAME":"HAHTOLA_MYCOSIS_FUNGOIDES_CD4_DN","SYSTEMATIC_NAME":"M19849","ORGANISM":"Homo sapiens","PMID":"16914566","AUTHORS":"Hahtola S,Tuomela S,Elo L,Häkkinen T,Karenko L,Nedoszytko B,Heikkilä H,Saarialho-Kere U,Roszkiewicz J,Aittokallio T,Lahesmaa R,Ranki A","EXACT_SOURCE":"Table 5S: M=< -1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in T helper cells (defines as CD4+) isolated from patients with mucosis fungoides compared to those from normal control donors.","DESCRIPTION_FULL":"PURPOSE: Increased production of Th2 cytokines characterizes Sezary syndrome, the leukemic form of cutaneous T-cell lymphomas (CTCL). To identify the molecular background and to study whether shared by the most common CTCL subtype, mycosis fungoides, we analyzed the gene expression profiles in both subtypes. EXPERIMENTAL DESIGN: Freshly isolated cells from 30 samples, representing skin, blood, and enriched CD4(+) cell populations of mycosis fungoides and Sezary syndrome, were analyzed with Affymetrix (Santa Clara, CA) oligonucleotide microarrays, quantitative PCR, or immunohistochemistry. The gene expression profiles were combined with findings of comparative genomic hybridization of the same samples to identify chromosomal changes affecting the aberrant gene expression. RESULTS: We identified a set of Th1-specific genes [e.g., TBX21 (T-bet), NKG7, and SCYA5 (RANTES)] to be down-regulated in Sezary syndrome as well as in a proportion of mycosis fungoides samples. In both Sezary syndrome and mycosis fungoides blood samples, the S100P and LIR9 gene expression was up-regulated. In lesional skin, IL7R and CD52 were up-regulated. Integration of comparative genomic hybridization and transcriptomic data identified chromosome arms 1q, 3p, 3q, 4q, 12q, 16p, and 16q as likely targets for new CTCL-associated gene aberrations. CONCLUSIONS: Our findings revealed several new genes involved in CTCL pathogenesis and potential therapeutic targets. Down-regulation of a set of genes involved in Th1 polarization, including the major Th1-polarizing factor, TBX21, was for the first time associated with CTCL. In addition, a plausible explanation for the proliferative response of CTCL cells to locally produced interleukin-7 was revealed."}
{"STANDARD_NAME":"HAHTOLA_MYCOSIS_FUNGOIDES_UP","SYSTEMATIC_NAME":"M6714","ORGANISM":"Homo sapiens","PMID":"16914566","AUTHORS":"Hahtola S,Tuomela S,Elo L,Häkkinen T,Karenko L,Nedoszytko B,Heikkilä H,Saarialho-Kere U,Roszkiewicz J,Aittokallio T,Lahesmaa R,Ranki A","EXACT_SOURCE":"Table 6S: M >= 1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in monocytes isolated from peripheral blood samples of patients with mucosis fungoides compared to those from normal healthy donors.","DESCRIPTION_FULL":"PURPOSE: Increased production of Th2 cytokines characterizes Sezary syndrome, the leukemic form of cutaneous T-cell lymphomas (CTCL). To identify the molecular background and to study whether shared by the most common CTCL subtype, mycosis fungoides, we analyzed the gene expression profiles in both subtypes. EXPERIMENTAL DESIGN: Freshly isolated cells from 30 samples, representing skin, blood, and enriched CD4(+) cell populations of mycosis fungoides and Sezary syndrome, were analyzed with Affymetrix (Santa Clara, CA) oligonucleotide microarrays, quantitative PCR, or immunohistochemistry. The gene expression profiles were combined with findings of comparative genomic hybridization of the same samples to identify chromosomal changes affecting the aberrant gene expression. RESULTS: We identified a set of Th1-specific genes [e.g., TBX21 (T-bet), NKG7, and SCYA5 (RANTES)] to be down-regulated in Sezary syndrome as well as in a proportion of mycosis fungoides samples. In both Sezary syndrome and mycosis fungoides blood samples, the S100P and LIR9 gene expression was up-regulated. In lesional skin, IL7R and CD52 were up-regulated. Integration of comparative genomic hybridization and transcriptomic data identified chromosome arms 1q, 3p, 3q, 4q, 12q, 16p, and 16q as likely targets for new CTCL-associated gene aberrations. CONCLUSIONS: Our findings revealed several new genes involved in CTCL pathogenesis and potential therapeutic targets. Down-regulation of a set of genes involved in Th1 polarization, including the major Th1-polarizing factor, TBX21, was for the first time associated with CTCL. In addition, a plausible explanation for the proliferative response of CTCL cells to locally produced interleukin-7 was revealed."}
{"STANDARD_NAME":"HAHTOLA_MYCOSIS_FUNGOIDES_DN","SYSTEMATIC_NAME":"M12073","ORGANISM":"Homo sapiens","PMID":"16914566","AUTHORS":"Hahtola S,Tuomela S,Elo L,Häkkinen T,Karenko L,Nedoszytko B,Heikkilä H,Saarialho-Kere U,Roszkiewicz J,Aittokallio T,Lahesmaa R,Ranki A","EXACT_SOURCE":"Table 6S: M =< -1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in monocytes isolated from peripheral blood samples of patients with mucosis fungoides compared to those from normal healthy donors.","DESCRIPTION_FULL":"PURPOSE: Increased production of Th2 cytokines characterizes Sezary syndrome, the leukemic form of cutaneous T-cell lymphomas (CTCL). To identify the molecular background and to study whether shared by the most common CTCL subtype, mycosis fungoides, we analyzed the gene expression profiles in both subtypes. EXPERIMENTAL DESIGN: Freshly isolated cells from 30 samples, representing skin, blood, and enriched CD4(+) cell populations of mycosis fungoides and Sezary syndrome, were analyzed with Affymetrix (Santa Clara, CA) oligonucleotide microarrays, quantitative PCR, or immunohistochemistry. The gene expression profiles were combined with findings of comparative genomic hybridization of the same samples to identify chromosomal changes affecting the aberrant gene expression. RESULTS: We identified a set of Th1-specific genes [e.g., TBX21 (T-bet), NKG7, and SCYA5 (RANTES)] to be down-regulated in Sezary syndrome as well as in a proportion of mycosis fungoides samples. In both Sezary syndrome and mycosis fungoides blood samples, the S100P and LIR9 gene expression was up-regulated. In lesional skin, IL7R and CD52 were up-regulated. Integration of comparative genomic hybridization and transcriptomic data identified chromosome arms 1q, 3p, 3q, 4q, 12q, 16p, and 16q as likely targets for new CTCL-associated gene aberrations. CONCLUSIONS: Our findings revealed several new genes involved in CTCL pathogenesis and potential therapeutic targets. Down-regulation of a set of genes involved in Th1 polarization, including the major Th1-polarizing factor, TBX21, was for the first time associated with CTCL. In addition, a plausible explanation for the proliferative response of CTCL cells to locally produced interleukin-7 was revealed."}
{"STANDARD_NAME":"PROVENZANI_METASTASIS_UP","SYSTEMATIC_NAME":"M4100","ORGANISM":"Homo sapiens","PMID":"16531451","AUTHORS":"Provenzani A,Fronza R,Loreni F,Pascale A,Amadio M,Quattrone A","GEOID":"GSE2509,GSE1323","EXACT_SOURCE":"Table 3S: FC > 1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in polysomal and total RNA samples from SW480 cells (primary colorectal carcinoma, CRC) compared to the SW620 cells (lymph node metastasis from the same individual).","DESCRIPTION_FULL":"Tumour onset and progression are due to the accumulation of genomic lesions, which alter gene expression and ultimately proteome activities. These lesions are thought to affect primarily the transcriptional control of gene expression. In the present study, we aimed at evaluating the genome-wide occurrence of alterations in the translational control exploiting an isogenic, phenotypically validated cellular model of colorectal cancer (CRC) transition from invasive carcinoma to metastasis. In this model, microarray profiling shows that changes in the level of messenger ribonucleic acid (mRNA) association with polysomes occur more than 2-fold than changes in the level of total cellular mRNA. When common to both the total and polysomal compartments, these changes are also homodirectional, being amplified in magnitude at the polysomal level. Comparison between the transcriptional and the translational fluctuations revealed distinct signatures of statistically over-represented gene functions, involving the program of cell proliferation for both levels of analysis, while the apoptosis and the translation programs were affected mainly at translation. Looking for an upstream determinant of translational deregulation, we found an increase in the hyperphosphorylated form of the 4E-BP1 protein in the metastatic cell line, possibly resulting in an increased activation of cap-dependent translation due to increased activity of the eIF4E protein. Analysis of the distribution profiles for the 5' untranslated region (5'-UTR) length of the changed genes showed an association between longer 5'-UTRs and the probability for the relevant gene to be altered translationally, consistent with enhanced eIF4E function. This genome-wide analysis is in favour of a model of profound alteration of translational control in late CRC progression. It also suggests polysomal mRNA profiles as a new, informative dimension for the study of transcriptome imbalance in cancer."}
{"STANDARD_NAME":"PACHER_TARGETS_OF_IGF1_AND_IGF2_UP","SYSTEMATIC_NAME":"M16574","ORGANISM":"Homo sapiens","PMID":"16774935","AUTHORS":"Pacher M,Seewald MJ,Mikula M,Oehler S,Mogg M,Vinatzer U,Eger A,Schweifer N,Varecka R,Sommergruber W,Mikulits W,Schreiber M","EXACT_SOURCE":"Tables 2-5: IGF1 fold regulation > 0","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in MCF7 cells (breast cancer) by IGF1 and IGF2 [GeneID=3479;3481].","DESCRIPTION_FULL":"Insulin-like growth factor (IGF) signaling is a key regulator of breast development and breast cancer. We have analyzed the expression of the IGF signaling cascade in 17 human breast cancer and 4 mammary epithelial cell lines. Five cell lines expressed high levels of IGF1 receptor, insulin (INS)/IGF receptor substrate 1, IGF-binding proteins 2 and 4, as well as the estrogen receptor (ESR), indicating a co-activation of IGF and ESR signaling. Next, we stably overexpressed IGF1 and IGF2 in MCF7 breast cancer cells, which did not affect their epithelial characteristics and the expression and localization of the epithelial marker genes E-cadherin and beta-catenin. Conversely, IGF1 and IGF2 overexpression potently increased cellular proliferation rates and the efficiency of tumor formation in mouse xenograft experiments, whereas the resistance to chemotherapeutic drugs such as taxol was unaltered. Expression profiling of overexpressing cells with whole-genome oligonucleotide microarrays revealed that 21 genes were upregulated >2-fold by both IGF1 and IGF2, 9 by IGF1, and 9 by IGF2. Half of the genes found to be upregulated are involved in transport and biosynthesis of amino acids, including several amino acid transport proteins, argininosuccinate and asparagine synthetases, and methionyl-tRNA synthetase. Upregulation of these genes constitutes a novel mechanism apparently contributing to the stimulatory effects of IGF signaling on the global protein synthesis rate. We conclude that the induction of cell proliferation and tumor formation by long-term IGF stimulation may primarily be due to anabolic effects, in particular increased amino acid production and uptake."}
{"STANDARD_NAME":"LIU_CDX2_TARGETS_DN","SYSTEMATIC_NAME":"M19218","ORGANISM":"Homo sapiens","PMID":"16990345","AUTHORS":"Liu T,Zhang X,So CK,Wang S,Wang P,Yan L,Myers R,Chen Z,Patterson AP,Yang CS,Chen X","EXACT_SOURCE":"Table 1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in HET1A cells (esophagus epithelium) engineered to stably express CDX2 [GeneID=1045].","DESCRIPTION_FULL":"Caudal-related homeobox 2 (Cdx2) has been suggested as an early marker of Barrett's esophagus (BE), which is the premalignant lesion of esophageal adenocarcinoma (EAC). However, the mechanism of ectopic Cdx2 expression in the esophageal epithelial cells and its role in the development of BE remained unclear. RT-PCR, pyrosequencing and methylation-specific PCR were used to determine expression and promoter methylation of Cdx2 in human esophageal epithelial cells (HET1A and SEG1) after treatment with 5-aza-2'-deoxycytidine (DAC), acid, bile acids and their combination. HET1A cells with stable transfection of Cdx2 were characterized for morphology and gene expression profiles with Affymetrix array. We found Cdx2 was expressed in most human EAC cell lines, but not in squamous epithelial cell lines. DAC-induced demethylation and expression of Cdx2 in HET1A and SEG1 cells, and treatment with a DNA methylating agent counteracted the effect of DAC. Treatment of HET1A and SEG1 cells with acid, bile acids or both also resulted in promoter demethylation and expression of Cdx2. HET1A cells with stable transfection of human Cdx2 formed crypt-like structures in vitro. Microarray analysis and quantitative real-time PCR showed that stable transfection of Cdx2 up-regulated differentiation markers of intestinal columnar epithelial cells and goblet cells in HET1A cells. This may be partially due to modulation of Notch signaling pathway, as western blotting confirmed down-regulation of Hes1 and up-regulation of Atoh1 and Muc2. Our data suggest that exposure to acid and/or bile acids may activate Cdx2 expression in human esophageal epithelial cells through promoter demethylation, and ectopic Cdx2 expression in esophageal squamous epithelial cells may contribute to intestinal metaplasia of the esophagus."}
{"STANDARD_NAME":"COLDREN_GEFITINIB_RESISTANCE_UP","SYSTEMATIC_NAME":"M18134","ORGANISM":"Homo sapiens","PMID":"16877703","AUTHORS":"Coldren CD,Helfrich BA,Witta SE,Sugita M,Lapadat R,Zeng C,Barón A,Franklin WA,Hirsch FR,Geraci MW,Bunn PA","GEOID":"GSE4342","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in NSCLC (non-small cell lung carcinoma) cell lines resistant to gefitinib [PubChem=123631] compared to the sensitive ones.","DESCRIPTION_FULL":"Tyrosine kinase inhibitors (TKI) of the epidermal growth factor receptor (EGFR) produce objective responses in a minority of patients with advanced-stage non-small cell lung cancer (NSCLC), and about half of all treated patients progress within 6 weeks of instituting therapy. Because the target of these agents is known, it should be possible to develop biological predictors of response, but EGFR protein levels have not been proven useful as a predictor of TKI response in patients and the mechanism of primary resistance is unclear. We used microarray gene expression profiling to uncover a pattern of gene expression associated with sensitivity to EGFR-TKIs by comparing NSCLC cell lines that were either highly sensitive or highly resistant to gefitinib. This sensitivity-associated expression profile was used to predict gefitinib sensitivity in a panel of NSCLC cell lines with known gene expression profiles but unknown gefitinib sensitivity. Gefitinib sensitivity was then determined for members of this test panel, and the microarray-based sensitivity prediction was correct in eight of nine NSCLC cell lines. Gene and protein expression differences were confirmed with a combination of quantitative reverse transcription-PCR, flow cytometry, and immunohistochemistry. This gene expression pattern related to gefitinib sensitivity was independent from sensitivity associated with EGFR mutations. Several genes associated with sensitivity encode proteins involved in HER pathway signaling or pathways that interrelate to the HER signaling pathway. Some of these genes could be targets of pharmacologic interventions to overcome primary resistance."}
{"STANDARD_NAME":"PASTURAL_RIZ1_TARGETS_UP","SYSTEMATIC_NAME":"M19828","ORGANISM":"Homo sapiens","PMID":"16953217","AUTHORS":"Pastural E,Takahashi N,Dong WF,Bainbridge M,Hull A,Pearson D,Huang S,Lowsky R,DeCoteau JF,Geyer CR","GEOID":"GSE2243","EXACT_SOURCE":"Table 1: Upregulated","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in K562 (chronic myelogenous leukemia, CML) cells engineered to stably express RIZ1 [GeneID=7799].","DESCRIPTION_FULL":"RIZ1 is a histone methyltransferase whose expression and activity are reduced in many cancers. In chronic myelogenous leukemia (CML), blastic transformation is associated with loss of heterozygosity in the region where RIZ1 is located and with decreased RIZ1 expression. Forced RIZ1 expression in model CML blast crisis (BC) cell lines decreases proliferation, increases apoptosis and enhances differentiation. We characterized molecular mechanisms that may contribute to potential CML tumor suppressor properties of RIZ1. Several RIZ1-regulated genes involved in insulin-like growth factor-1 (IGF-1) signaling were identified using cDNA microarrays. RIZ1 was shown to associate with promoter regions of IGF-1 and to increase histone H3 lysine 9 methylation using chromatin immunoprecipitation assays. IGF-1-blocking antibody was used to demonstrate the importance of autocrine IGF-1 signaling in CML-BC cell line viability. Forced RIZ1 expression in CML-BC cell lines decreases IGF-1 receptor activation and activation of downstream signaling components extracellular signal-regulated kinase 1/2 and AKT. These results highlight the therapeutic potential of inhibiting IGF-1 pathway in the acute phase of CML."}
{"STANDARD_NAME":"PASTURAL_RIZ1_TARGETS_DN","SYSTEMATIC_NAME":"M4364","ORGANISM":"Homo sapiens","PMID":"16953217","AUTHORS":"Pastural E,Takahashi N,Dong WF,Bainbridge M,Hull A,Pearson D,Huang S,Lowsky R,DeCoteau JF,Geyer CR","GEOID":"GSE2243","EXACT_SOURCE":"Table 1: Downregulated","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in K562 (chronic myelogenous leukemia, CML) cells engineered to stably express RIZ1 [GeneID=7799].","DESCRIPTION_FULL":"RIZ1 is a histone methyltransferase whose expression and activity are reduced in many cancers. In chronic myelogenous leukemia (CML), blastic transformation is associated with loss of heterozygosity in the region where RIZ1 is located and with decreased RIZ1 expression. Forced RIZ1 expression in model CML blast crisis (BC) cell lines decreases proliferation, increases apoptosis and enhances differentiation. We characterized molecular mechanisms that may contribute to potential CML tumor suppressor properties of RIZ1. Several RIZ1-regulated genes involved in insulin-like growth factor-1 (IGF-1) signaling were identified using cDNA microarrays. RIZ1 was shown to associate with promoter regions of IGF-1 and to increase histone H3 lysine 9 methylation using chromatin immunoprecipitation assays. IGF-1-blocking antibody was used to demonstrate the importance of autocrine IGF-1 signaling in CML-BC cell line viability. Forced RIZ1 expression in CML-BC cell lines decreases IGF-1 receptor activation and activation of downstream signaling components extracellular signal-regulated kinase 1/2 and AKT. These results highlight the therapeutic potential of inhibiting IGF-1 pathway in the acute phase of CML."}
{"STANDARD_NAME":"CHOW_RASSF1_TARGETS_UP","SYSTEMATIC_NAME":"M2626","ORGANISM":"Homo sapiens","PMID":"16116475","AUTHORS":"Chow LS,Lam CW,Chan SY,Tsao SW,To KF,Tong SF,Hung WK,Dammann R,Huang DP,Lo KW","EXACT_SOURCE":"Table 1: Mean fold change > 0","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Lauren Kazmierski","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in C666-1 cells (nasopharyngeal carcinoma) by stable expression of RASSF1 [GeneID=11186].","DESCRIPTION_FULL":"RASSF1A is a tumor suppressor gene on 3p21.3 frequently inactivated by promoter hypermethylation in nasopharyngeal carcinoma (NPC). To identify RASSF1A target genes in NPC, we have investigated the expression profile of the stable RASSF1A transfectants and controls by high-density oligonucleotide array. A total of 57 genes showed differential expression in the RASSF1A-expressing cells. These RASSF1A target genes were involved in multiple cellular regulatory processes such as transcription, signal transduction, cell adhesion and RNA processing. The RASSF1A-modulated expression of eight selected genes with the highest fold changes (ATF5, TCRB, RGS1, activin betaE, HNRPH1, HNRPD, Id2 and CKS2) by RASSF1A was confirmed in both stable and transient transfectants. Compared with the RASSF1A transfectants, an inverse expression pattern of activin betaE, Id2 and ATF5 was shown in the immortalized nasopharyngeal epithelial cells treated with siRNA against RASSF1A. The findings imply that the expression of activin betaE, Id2 and ATF5 was tightly regulated by RASSF1A and may associate with its tumor suppressor function. Strikingly, overexpression of Id2 is common in NPC and RASSF1A-induced repression of Id2 was mediated by the overexpression of activin betaE. The results suggest a novel RASSF1A pathway in which both activin betaE and Id2 are involved."}
{"STANDARD_NAME":"CHOW_RASSF1_TARGETS_DN","SYSTEMATIC_NAME":"M905","ORGANISM":"Homo sapiens","PMID":"16116475","AUTHORS":"Chow LS,Lam CW,Chan SY,Tsao SW,To KF,Tong SF,Hung WK,Dammann R,Huang DP,Lo KW","EXACT_SOURCE":"Table 1: Mean fold change < 0","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Lauren Kazmierski","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in C666-1 cells (nasopharyngeal carcinoma) by stable expression of RASSF1 [GeneID=11186].","DESCRIPTION_FULL":"RASSF1A is a tumor suppressor gene on 3p21.3 frequently inactivated by promoter hypermethylation in nasopharyngeal carcinoma (NPC). To identify RASSF1A target genes in NPC, we have investigated the expression profile of the stable RASSF1A transfectants and controls by high-density oligonucleotide array. A total of 57 genes showed differential expression in the RASSF1A-expressing cells. These RASSF1A target genes were involved in multiple cellular regulatory processes such as transcription, signal transduction, cell adhesion and RNA processing. The RASSF1A-modulated expression of eight selected genes with the highest fold changes (ATF5, TCRB, RGS1, activin betaE, HNRPH1, HNRPD, Id2 and CKS2) by RASSF1A was confirmed in both stable and transient transfectants. Compared with the RASSF1A transfectants, an inverse expression pattern of activin betaE, Id2 and ATF5 was shown in the immortalized nasopharyngeal epithelial cells treated with siRNA against RASSF1A. The findings imply that the expression of activin betaE, Id2 and ATF5 was tightly regulated by RASSF1A and may associate with its tumor suppressor function. Strikingly, overexpression of Id2 is common in NPC and RASSF1A-induced repression of Id2 was mediated by the overexpression of activin betaE. The results suggest a novel RASSF1A pathway in which both activin betaE and Id2 are involved."}
{"STANDARD_NAME":"LANDIS_BREAST_CANCER_PROGRESSION_UP","SYSTEMATIC_NAME":"M6875","ORGANISM":"Mus musculus","PMID":"16434967","AUTHORS":"Landis MD,Seachrist DD,Abdul-Karim FW,Keri RA","GEOID":"GSE3501","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Lauren Kazmierski","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in preneoplastic mammary tissues and whose expression is maintained in tumors.","DESCRIPTION_FULL":"Epidemiological studies indicate that parity enhances HER2/ErbB2/Neu-induced breast tumorigenesis. Furthermore, recent studies using multiparous, ErbB2/Neu-overexpressing mouse mammary tumor virus (MMTV-Neu) mice have shown that parity induces a population of cells that are targeted for ErbB2/Neu-induced transformation. Although parity accelerates mammary tumorigenesis, the pattern of tumor development in multiparous MMTV-Neu mice remains stochastic, suggesting that additional events are required for ErbB2/Neu to cause mammary tumors. Whether such events are genetic in nature or reflective of the dynamic hormonal control of the gland that occurs with pregnancy remains unclear. We postulated that young age at pregnancy initiation or chronic trophic maintenance of mammary epithelial cells might provide a cellular environment that significantly increases susceptibility to ErbB2/Neu-induced tumorigenesis. MMTV-Neu mice that were maintained pregnant or lactating beginning at 3 weeks of age demonstrated accelerated tumorigenesis, but this process was still stochastic, indicating that early pregnancy does not provide the requisite events of tumorigenesis. However, bitransgenic mice that were generated by breeding MMTV-Neu mice with a luteinizing hormone-overexpressing mouse model of ovarian hyperstimulation developed multifocal mammary tumors in an accelerated, synchronous manner compared to virgin MMTV-Neu animals. This synchrony of tumor development in the bitransgenic mice suggests that trophic maintenance of the mammary gland provides the additional events required for tumor formation and maintains the population of cells that are targeted by ErbB2/Neu for transformation. Both the synchrony of tumor appearance and the ability to characterize a window of commitment by ovariectomy/palpation studies permitted microarray analysis to evaluate changes in gene expression over a defined timeline that spans the progression from normal to preneoplastic mammary tissue. These approaches led to identification of several candidate genes whose expression changes in the mammary gland with commitment to ErbB2/Neu-induced tumorigenesis, suggesting that they may either be regulated by ErbB2/Neu and/or contribute to tumor formation."}
{"STANDARD_NAME":"YEMELYANOV_GR_TARGETS_DN","SYSTEMATIC_NAME":"M17211","ORGANISM":"Homo sapiens","PMID":"17016446","AUTHORS":"Yemelyanov A,Czwornog J,Chebotaev D,Karseladze A,Kulevitch E,Yang X,Budunova I","EXACT_SOURCE":"Figure 6A: Down-Regulated TF","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Transcription factors down-regulated in LNCaP cells (prostate cancer) by expression of GR [GeneID=2908] off a lentiviral vector.","DESCRIPTION_FULL":"Glucocorticoids are extensively used in combination chemotherapy of advanced prostate cancer (PC). Little is known, however, about the status of the glucocorticoid receptor (GR) in PC. We evaluated over 200 prostate samples and determined that GR expression was strongly decreased or absent in 70-85% of PC. Similar to PC tumors, some PC cell lines, including LNCaP, also lack GR. To understand the role of GR, we reconstituted its expression in LNCaP cells using lentiviral approach. Treatment of LNCaP-GR cells with the glucocorticoids strongly inhibited proliferation in the monolayer cultures and blocked anchorage-independent growth. This was accompanied by upregulation of p21 and p27, down-regulation of cyclin D1 expression and c-Myc phosphorylation. Importantly, the activation of GR resulted in normalized expression of PC markers hepsin, AMACR, and maspin. On the signaling level, GR decreased expression and inhibited activity of the MAP-kinases (MAPKs) including p38, JNK/SAPK, Mek1/2 and Erk1/2. We also found that activation of GR inhibited activity of numerous transcription factors (TF) including AP-1, SRF, NF-kappaB, p53, ATF-2, CEBPalpha, Ets-1, Elk-1, STAT1 and others, many of which are regulated via MAPK cascade. The structural analysis of hepsin and AMACR promoters provided the mechanistic rationale for PC marker downregulation by glucocorticoids via inhibition of specific TFs. Our data suggest that GR functions as a tumor suppressor in prostate, and inhibits multiple signaling pathways and transcriptional factors involved in proliferation and transformation."}
{"STANDARD_NAME":"LAU_APOPTOSIS_CDKN2A_DN","SYSTEMATIC_NAME":"M19275","ORGANISM":"Homo sapiens","PMID":"17369842","AUTHORS":"Lau WM,Ho TH,Hui KM","EXACT_SOURCE":"Table 1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated by UV-irradiation in cervical cancer cells after knockdown of CDKN2A [GeneID=1029].","DESCRIPTION_FULL":"p16(INK4A) (p16) has been suggested to be an early biomarker for the detection of cervical cancer. However, its functional role in cervical cancer is not well characterized. In this study, we reported the consistent and significant upregulation of p16 in cervical cancer tissues when compared to both matched non-tumourous tissues of the same patient and normal cervical tissues from non-cancer patients. We have employed p16 small interfering RNA (siRNA) to dissect the role of p16 in cervical carcinogenesis. Although the silencing of p16 was accompanied by the upregulation of p53, p21 and RB in the p16 siRNA-transfected cells, no significant effect on cell cycle progression was observed. When the p16 siRNA-silenced cells were subjected to DNA damage stress including ultraviolet-irradiation and cisplatin treatments, a significantly higher percentage of apoptotic cells could be observed in the p16-siRNA silenced cells compared to control siRNA-treated cells. Moreover, induction of apoptosis was associated with the activation of p53 through phosphorylation, and this process, when studied by gene profiling experiments, involved both the intrinsic and extrinsic apoptotic pathways. The observation that silencing of p16 expression augments DNA damage-induced apoptosis in cervical cancer cells offers alternative strategies for anti-cancer therapies for human cervical cancer."}
{"STANDARD_NAME":"CHIARADONNA_NEOPLASTIC_TRANSFORMATION_KRAS_CDC25_UP","SYSTEMATIC_NAME":"M8599","ORGANISM":"Mus musculus","PMID":"16607279","AUTHORS":"Chiaradonna F,Sacco E,Manzoni R,Giorgio M,Vanoni M,Alberghina L","EXACT_SOURCE":"Table 1S: kras-DN Up regulated genes","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Lauren Kazmierski","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in NIH3T3 cells (fibroblasts) transformed by activated KRAS [GeneID=3845] vs those reverted to normal cells upon over-expression of a dominant negative form of CDC25 [GeneID=5923].","DESCRIPTION_FULL":"Mutational activation of ras genes is required for the onset and maintenance of different malignancies. Here we show, using a combination of molecular physiology, nutritional perturbations and transcriptional profiling, that full penetrance of phenotypes related to oncogenic Ras activation, including the shift of carbon metabolism towards fermentation and upregulation of key cell cycle regulators, is dependent upon glucose availability. These responses are induced by Ras activation, being specifically reverted by downregulation of the Ras pathway obtained through the expression of a dominant-negative Ras-specific guanine nucleotide exchange protein. Our data allow to link directly to ras activation the alteration in energy metabolism of cancer cells, their fragility towards glucose shortage and ensuing apoptotic death."}
{"STANDARD_NAME":"CHIARADONNA_NEOPLASTIC_TRANSFORMATION_KRAS_CDC25_DN","SYSTEMATIC_NAME":"M5312","ORGANISM":"Mus musculus","PMID":"16607279","AUTHORS":"Chiaradonna F,Sacco E,Manzoni R,Giorgio M,Vanoni M,Alberghina L","EXACT_SOURCE":"Table 1S: kras-DN Down regulated genes","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Lauren Kazmierski","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in NIH3T3 cells (fibroblasts) transformed by activated KRAS [GeneID=3845] vs those reverted to normal cells upon over-expression of a dominant negative form of CDC25 [GeneID=5923].","DESCRIPTION_FULL":"Mutational activation of ras genes is required for the onset and maintenance of different malignancies. Here we show, using a combination of molecular physiology, nutritional perturbations and transcriptional profiling, that full penetrance of phenotypes related to oncogenic Ras activation, including the shift of carbon metabolism towards fermentation and upregulation of key cell cycle regulators, is dependent upon glucose availability. These responses are induced by Ras activation, being specifically reverted by downregulation of the Ras pathway obtained through the expression of a dominant-negative Ras-specific guanine nucleotide exchange protein. Our data allow to link directly to ras activation the alteration in energy metabolism of cancer cells, their fragility towards glucose shortage and ensuing apoptotic death."}
{"STANDARD_NAME":"CHIARADONNA_NEOPLASTIC_TRANSFORMATION_KRAS_UP","SYSTEMATIC_NAME":"M8795","ORGANISM":"Mus musculus","PMID":"16607279","AUTHORS":"Chiaradonna F,Sacco E,Manzoni R,Giorgio M,Vanoni M,Alberghina L","EXACT_SOURCE":"Table 1S: kras-wt Up regulated genes","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Lauren Kazmierski","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in transformed NIH3T3 cells (fibroblasts transformed by activated KRAS [GeneID=3845]) vs normal cells.","DESCRIPTION_FULL":"Mutational activation of ras genes is required for the onset and maintenance of different malignancies. Here we show, using a combination of molecular physiology, nutritional perturbations and transcriptional profiling, that full penetrance of phenotypes related to oncogenic Ras activation, including the shift of carbon metabolism towards fermentation and upregulation of key cell cycle regulators, is dependent upon glucose availability. These responses are induced by Ras activation, being specifically reverted by downregulation of the Ras pathway obtained through the expression of a dominant-negative Ras-specific guanine nucleotide exchange protein. Our data allow to link directly to ras activation the alteration in energy metabolism of cancer cells, their fragility towards glucose shortage and ensuing apoptotic death."}
{"STANDARD_NAME":"CHIARADONNA_NEOPLASTIC_TRANSFORMATION_CDC25_UP","SYSTEMATIC_NAME":"M12828","ORGANISM":"Mus musculus","PMID":"16607279","AUTHORS":"Chiaradonna F,Sacco E,Manzoni R,Giorgio M,Vanoni M,Alberghina L","EXACT_SOURCE":"Table 1S: DN-wt Up regulated genes","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Lauren Kazmierski","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in reverted NIH3T3 cells (fibroblasts transformed by activated KRAS [GeneID=3845] which then reverted to normal cells upon stable over-expression of a dominant negative form of CDC25 [GeneID=5923]) vs normal fibroblasts.","DESCRIPTION_FULL":"Mutational activation of ras genes is required for the onset and maintenance of different malignancies. Here we show, using a combination of molecular physiology, nutritional perturbations and transcriptional profiling, that full penetrance of phenotypes related to oncogenic Ras activation, including the shift of carbon metabolism towards fermentation and upregulation of key cell cycle regulators, is dependent upon glucose availability. These responses are induced by Ras activation, being specifically reverted by downregulation of the Ras pathway obtained through the expression of a dominant-negative Ras-specific guanine nucleotide exchange protein. Our data allow to link directly to ras activation the alteration in energy metabolism of cancer cells, their fragility towards glucose shortage and ensuing apoptotic death."}
{"STANDARD_NAME":"CASTELLANO_HRAS_TARGETS_DN","SYSTEMATIC_NAME":"M17040","ORGANISM":"Mus musculus","PMID":"16909116","AUTHORS":"Castellano E,De Las Rivas J,Guerrero C,Santos E","EXACT_SOURCE":"table 1: delta(i) < 0","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in MEF cells (embryonic fibroblast) isolated from HRAS [GeneID=3265] knockout mice.","DESCRIPTION_FULL":"We characterized differential gene expression profiles of fibroblast cell lines harboring single or double-homozygous null mutations in H-ras and N-ras. Whereas the expression level of the individual H-, N- and K-ras genes appeared unaffected by the presence or absence of the other ras loci, significant differences were observed between the expression profiles of cells missing N-ras and/or H-ras. Absence of N-ras produced much stronger effects than absence of H-ras over the profile of the cellular transcriptome. N-ras(-/-) and H-ras(-/-) fibroblasts displayed rather antagonistic expression profiles and the transcriptome of H-ras(-/-) cells was significantly closer to that of wild-type fibroblasts than to that of N-ras(-/-) cells. Classifying all differentially expressed genes into functional categories suggested specific roles for H-Ras and N-Ras. It was particularly striking in N-ras(-/-) cells the upregulation of a remarkable number of immunity-related genes, as well as of several loci involved in apoptosis. Reverse-phase protein array assays demonstrated in the same N-ras(-/-) cells the overexpression and nuclear migration of tyrosine phosphorylated signal transducer and activator of transcription 1 (Stat1) which was concomitant with transcriptional activation mediated by interferon-stimulated response elements. Significantly enhanced numbers of apoptotic cells were also detected in cultures of N-ras(-/-) cells. Our data support the notion that different Ras isoforms play functionally distinct cellular roles and indicate that N-Ras is significantly involved in immune modulation/host defense and apoptotic responses."}
{"STANDARD_NAME":"CASTELLANO_HRAS_AND_NRAS_TARGETS_DN","SYSTEMATIC_NAME":"M5355","ORGANISM":"Mus musculus","PMID":"16909116","AUTHORS":"Castellano E,De Las Rivas J,Guerrero C,Santos E","EXACT_SOURCE":"Table 3: delta(i) < 0","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in MEF cells (embryonic fibroblasts) isolated from HRAS and NRAS [GeneID=3265;4893] double knockout mice.","DESCRIPTION_FULL":"We characterized differential gene expression profiles of fibroblast cell lines harboring single or double-homozygous null mutations in H-ras and N-ras. Whereas the expression level of the individual H-, N- and K-ras genes appeared unaffected by the presence or absence of the other ras loci, significant differences were observed between the expression profiles of cells missing N-ras and/or H-ras. Absence of N-ras produced much stronger effects than absence of H-ras over the profile of the cellular transcriptome. N-ras(-/-) and H-ras(-/-) fibroblasts displayed rather antagonistic expression profiles and the transcriptome of H-ras(-/-) cells was significantly closer to that of wild-type fibroblasts than to that of N-ras(-/-) cells. Classifying all differentially expressed genes into functional categories suggested specific roles for H-Ras and N-Ras. It was particularly striking in N-ras(-/-) cells the upregulation of a remarkable number of immunity-related genes, as well as of several loci involved in apoptosis. Reverse-phase protein array assays demonstrated in the same N-ras(-/-) cells the overexpression and nuclear migration of tyrosine phosphorylated signal transducer and activator of transcription 1 (Stat1) which was concomitant with transcriptional activation mediated by interferon-stimulated response elements. Significantly enhanced numbers of apoptotic cells were also detected in cultures of N-ras(-/-) cells. Our data support the notion that different Ras isoforms play functionally distinct cellular roles and indicate that N-Ras is significantly involved in immune modulation/host defense and apoptotic responses."}
{"STANDARD_NAME":"CASTELLANO_NRAS_TARGETS_DN","SYSTEMATIC_NAME":"M12848","ORGANISM":"Mus musculus","PMID":"16909116","AUTHORS":"Castellano E,De Las Rivas J,Guerrero C,Santos E","EXACT_SOURCE":"Table 2: delta(i) < 0","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in MEF cells (embryonic fibroblast) isolated from NRAS [GeneID=4893] knockout mice.","DESCRIPTION_FULL":"We characterized differential gene expression profiles of fibroblast cell lines harboring single or double-homozygous null mutations in H-ras and N-ras. Whereas the expression level of the individual H-, N- and K-ras genes appeared unaffected by the presence or absence of the other ras loci, significant differences were observed between the expression profiles of cells missing N-ras and/or H-ras. Absence of N-ras produced much stronger effects than absence of H-ras over the profile of the cellular transcriptome. N-ras(-/-) and H-ras(-/-) fibroblasts displayed rather antagonistic expression profiles and the transcriptome of H-ras(-/-) cells was significantly closer to that of wild-type fibroblasts than to that of N-ras(-/-) cells. Classifying all differentially expressed genes into functional categories suggested specific roles for H-Ras and N-Ras. It was particularly striking in N-ras(-/-) cells the upregulation of a remarkable number of immunity-related genes, as well as of several loci involved in apoptosis. Reverse-phase protein array assays demonstrated in the same N-ras(-/-) cells the overexpression and nuclear migration of tyrosine phosphorylated signal transducer and activator of transcription 1 (Stat1) which was concomitant with transcriptional activation mediated by interferon-stimulated response elements. Significantly enhanced numbers of apoptotic cells were also detected in cultures of N-ras(-/-) cells. Our data support the notion that different Ras isoforms play functionally distinct cellular roles and indicate that N-Ras is significantly involved in immune modulation/host defense and apoptotic responses."}
{"STANDARD_NAME":"CHEBOTAEV_GR_TARGETS_UP","SYSTEMATIC_NAME":"M4263","ORGANISM":"Mus musculus","PMID":"17146443","AUTHORS":"Chebotaev D,Yemelyanov A,Zhu L,Lavker RM,Budunova I","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in follicular epithelial stem cells after transgenic expression of GR [GeneID=2908] under control of the keratin5 (K5) [GeneID=3852] promoter.","DESCRIPTION_FULL":"Glucocorticoids are potent inhibitors of mouse skin tumorigenesis. The glucocorticoid control of cellular functions is mediated via the glucocorticoid receptor (GR), a well-known transcription factor. Recently, we generated transgenic mice overexpressing GR under control of the keratin5 (K5) promoter, and showed that K5.GR animals are resistant to skin carcinogenesis. Follicular epithelial stem cells (SCs), located in the bulge region of the hair follicle, are believed to be one of the target cells for skin carcinogenesis. We found that the number of putative hair follicle SC detected as label-retaining cells was significantly less in the K5.GR transgenics compared to wild type (w.t.) littermates. We also showed that GR overexpression led to a reduction in the clonogenicity of the follicular epithelial SCs. We evaluated the global effect of GR on gene expression in a population of follicular SC-enriched bulge keratinocytes isolated by fluorescence activated cell sorting. We found that GR affected the expression of numerous bulge SC 'signature' genes, genes involved in the maintenance of SC and progenitor cells of non-epidermal origin and proapoptotic genes. Our findings underscore the important role of GR signaling in the homeostasis of follicular epithelial SCs, and suggest that the reduction in their number may underlie the tumor suppressor effect of GR in the skin."}
{"STANDARD_NAME":"CHEBOTAEV_GR_TARGETS_DN","SYSTEMATIC_NAME":"M7876","ORGANISM":"Mus musculus","PMID":"17146443","AUTHORS":"Chebotaev D,Yemelyanov A,Zhu L,Lavker RM,Budunova I","EXACT_SOURCE":"Table 2S","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in follicular epithelial stem cells after transgenic expression of GR [GeneID=2908] under control of the keratin5 (K5) [GeneID=3852] promoter.","DESCRIPTION_FULL":"Glucocorticoids are potent inhibitors of mouse skin tumorigenesis. The glucocorticoid control of cellular functions is mediated via the glucocorticoid receptor (GR), a well-known transcription factor. Recently, we generated transgenic mice overexpressing GR under control of the keratin5 (K5) promoter, and showed that K5.GR animals are resistant to skin carcinogenesis. Follicular epithelial stem cells (SCs), located in the bulge region of the hair follicle, are believed to be one of the target cells for skin carcinogenesis. We found that the number of putative hair follicle SC detected as label-retaining cells was significantly less in the K5.GR transgenics compared to wild type (w.t.) littermates. We also showed that GR overexpression led to a reduction in the clonogenicity of the follicular epithelial SCs. We evaluated the global effect of GR on gene expression in a population of follicular SC-enriched bulge keratinocytes isolated by fluorescence activated cell sorting. We found that GR affected the expression of numerous bulge SC 'signature' genes, genes involved in the maintenance of SC and progenitor cells of non-epidermal origin and proapoptotic genes. Our findings underscore the important role of GR signaling in the homeostasis of follicular epithelial SCs, and suggest that the reduction in their number may underlie the tumor suppressor effect of GR in the skin."}
{"STANDARD_NAME":"BERENJENO_ROCK_SIGNALING_NOT_VIA_RHOA_UP","SYSTEMATIC_NAME":"M5392","ORGANISM":"Mus musculus","PMID":"17213802","AUTHORS":"Berenjeno IM,Núñez F,Bustelo XR","GEOID":"GSE5913","EXACT_SOURCE":"Table 5S: RhoAi > 1","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in NIH3T3 cells (fibroblasts) after treatment with Y27632 [PubChem=123862], an inhibitor of ROCK proteins; the changes did not depend on expression of constitutively active (Q63L) form of RHOA [GeneID=387].","DESCRIPTION_FULL":"We have used microarray technology to identify the transcriptional targets of Rho subfamily guanosine 5'-triphosphate (GTP)ases in NIH3T3 cells. This analysis indicated that murine fibroblasts transformed by these proteins show similar transcriptomal profiles. Functional annotation of the regulated genes indicate that Rho subfamily GTPases target a wide spectrum of functions, although loci encoding proteins linked to proliferation and DNA synthesis/transcription are upregulated preferentially. Rho proteins promote four main networks of interacting proteins nucleated around E2F, c-Jun, c-Myc and p53. Of those, E2F, c-Jun and c-Myc are essential for the maintenance of cell transformation. Inhibition of Rock, one of the main Rho GTPase targets, leads to small changes in the transcriptome of Rho-transformed cells. Rock inhibition decreases c-myc gene expression without affecting the E2F and c-Jun pathways. Loss-of-function studies demonstrate that c-Myc is important for the blockage of cell-contact inhibition rather than for promoting the proliferation of Rho-transformed cells. However, c-Myc overexpression does not bypass the inhibition of cell transformation induced by Rock blockage, indicating that c-Myc is essential, but not sufficient, for Rock-dependent transformation. These results reveal the complexity of the genetic program orchestrated by the Rho subfamily and pinpoint protein networks that mediate different aspects of the malignant phenotype of Rho-transformed cells."}
{"STANDARD_NAME":"BERENJENO_TRANSFORMED_BY_RHOA_REVERSIBLY_DN","SYSTEMATIC_NAME":"M3034","ORGANISM":"Mus musculus","PMID":"17213802","AUTHORS":"Berenjeno IM,Núñez F,Bustelo XR","GEOID":"GSE5913","EXACT_SOURCE":"Table 3S: RhoAi < 1 & RhoA > 1","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in NIH3T3 cells (fibroblasts) transformed by expression of contitutively active (Q63L) form of RHOA [GeneID=387] off plasmid vector; their expression reverted completely after treatment with Y27632 [PubChem=123862], an inhibitor of ROCK proteins.","DESCRIPTION_FULL":"We have used microarray technology to identify the transcriptional targets of Rho subfamily guanosine 5'-triphosphate (GTP)ases in NIH3T3 cells. This analysis indicated that murine fibroblasts transformed by these proteins show similar transcriptomal profiles. Functional annotation of the regulated genes indicate that Rho subfamily GTPases target a wide spectrum of functions, although loci encoding proteins linked to proliferation and DNA synthesis/transcription are upregulated preferentially. Rho proteins promote four main networks of interacting proteins nucleated around E2F, c-Jun, c-Myc and p53. Of those, E2F, c-Jun and c-Myc are essential for the maintenance of cell transformation. Inhibition of Rock, one of the main Rho GTPase targets, leads to small changes in the transcriptome of Rho-transformed cells. Rock inhibition decreases c-myc gene expression without affecting the E2F and c-Jun pathways. Loss-of-function studies demonstrate that c-Myc is important for the blockage of cell-contact inhibition rather than for promoting the proliferation of Rho-transformed cells. However, c-Myc overexpression does not bypass the inhibition of cell transformation induced by Rock blockage, indicating that c-Myc is essential, but not sufficient, for Rock-dependent transformation. These results reveal the complexity of the genetic program orchestrated by the Rho subfamily and pinpoint protein networks that mediate different aspects of the malignant phenotype of Rho-transformed cells."}
{"STANDARD_NAME":"LINDGREN_BLADDER_CANCER_CLUSTER_1_UP","SYSTEMATIC_NAME":"M2250","ORGANISM":"Homo sapiens","PMID":"16532037","AUTHORS":"Lindgren D,Liedberg F,Andersson A,Chebil G,Gudjonsson S,Borg A,Månsson W,Fioretos T,Höglund M","EXACT_SOURCE":"Table 2AS","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Up-regulated genes whose expression profile is specific to Custer I of urothelial cell carcinoma (UCC) tumors.","DESCRIPTION_FULL":"We used gene expression profiling, mutation analyses of FGFR3 and TP53, and LOH analyses of chromosome 9 and the TP53 region on chromosome arm 17p, to molecularly characterize 75 Ta and T1 bladder carcinomas. We identified four major cellular processes related to cell cycle, protein synthesis, immune response, and extra cellular components that contribute to the expressional heterogeneity of early-stage urothelial cell carcinoma (UCC). Activating FGFR3 mutations were found at the highest frequency in G1 tumors (80%), and showed a strong correlation with FGFR3 expression. In contrast, G3 tumors displayed mutations in less than 10% of the cases and a low level of FGFR3 expression. Even though LOH on chromosome 9 was not associated with any specific expression pattern, our data indicate that loss of chromosome 9 is associated with tumor development rather than initiation. The combined analyses suggest the existence of two types of UCC tumors, one which is characterized by FGFR3 mutation or expression, high expression of protein synthesis genes, and low expression of cell cycle genes. Furthermore, the presented data underscore FGFR3 receptor involvement in urothelial cell transformation as the presence of FGFR3 mutations has a major impact on the global gene expression profile of bladder carcinomas."}
{"STANDARD_NAME":"LINDGREN_BLADDER_CANCER_CLUSTER_2A_UP","SYSTEMATIC_NAME":"M12889","ORGANISM":"Homo sapiens","PMID":"16532037","AUTHORS":"Lindgren D,Liedberg F,Andersson A,Chebil G,Gudjonsson S,Borg A,Månsson W,Fioretos T,Höglund M","EXACT_SOURCE":"Table 2CS","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes whose expression profile is specific to Cluster IIa of urothelial cell carcinoma (UCC) tumors.","DESCRIPTION_FULL":"We used gene expression profiling, mutation analyses of FGFR3 and TP53, and LOH analyses of chromosome 9 and the TP53 region on chromosome arm 17p, to molecularly characterize 75 Ta and T1 bladder carcinomas. We identified four major cellular processes related to cell cycle, protein synthesis, immune response, and extra cellular components that contribute to the expressional heterogeneity of early-stage urothelial cell carcinoma (UCC). Activating FGFR3 mutations were found at the highest frequency in G1 tumors (80%), and showed a strong correlation with FGFR3 expression. In contrast, G3 tumors displayed mutations in less than 10% of the cases and a low level of FGFR3 expression. Even though LOH on chromosome 9 was not associated with any specific expression pattern, our data indicate that loss of chromosome 9 is associated with tumor development rather than initiation. The combined analyses suggest the existence of two types of UCC tumors, one which is characterized by FGFR3 mutation or expression, high expression of protein synthesis genes, and low expression of cell cycle genes. Furthermore, the presented data underscore FGFR3 receptor involvement in urothelial cell transformation as the presence of FGFR3 mutations has a major impact on the global gene expression profile of bladder carcinomas."}
{"STANDARD_NAME":"LINDGREN_BLADDER_CANCER_CLUSTER_2A_DN","SYSTEMATIC_NAME":"M11896","ORGANISM":"Homo sapiens","PMID":"16532037","AUTHORS":"Lindgren D,Liedberg F,Andersson A,Chebil G,Gudjonsson S,Borg A,Månsson W,Fioretos T,Höglund M","EXACT_SOURCE":"Table 2DS","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes whose expression profile is specific to Cluster IIa of urothelial cell carcinoma (UCC) tumors.","DESCRIPTION_FULL":"We used gene expression profiling, mutation analyses of FGFR3 and TP53, and LOH analyses of chromosome 9 and the TP53 region on chromosome arm 17p, to molecularly characterize 75 Ta and T1 bladder carcinomas. We identified four major cellular processes related to cell cycle, protein synthesis, immune response, and extra cellular components that contribute to the expressional heterogeneity of early-stage urothelial cell carcinoma (UCC). Activating FGFR3 mutations were found at the highest frequency in G1 tumors (80%), and showed a strong correlation with FGFR3 expression. In contrast, G3 tumors displayed mutations in less than 10% of the cases and a low level of FGFR3 expression. Even though LOH on chromosome 9 was not associated with any specific expression pattern, our data indicate that loss of chromosome 9 is associated with tumor development rather than initiation. The combined analyses suggest the existence of two types of UCC tumors, one which is characterized by FGFR3 mutation or expression, high expression of protein synthesis genes, and low expression of cell cycle genes. Furthermore, the presented data underscore FGFR3 receptor involvement in urothelial cell transformation as the presence of FGFR3 mutations has a major impact on the global gene expression profile of bladder carcinomas."}
{"STANDARD_NAME":"LINDGREN_BLADDER_CANCER_CLUSTER_3_DN","SYSTEMATIC_NAME":"M11238","ORGANISM":"Homo sapiens","PMID":"16532037","AUTHORS":"Lindgren D,Liedberg F,Andersson A,Chebil G,Gudjonsson S,Borg A,Månsson W,Fioretos T,Höglund M","EXACT_SOURCE":"Table 2GS","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes whose expression profile is specific to Cluster III of urothelial cell carcinoma (UCC) tumors.","DESCRIPTION_FULL":"We used gene expression profiling, mutation analyses of FGFR3 and TP53, and LOH analyses of chromosome 9 and the TP53 region on chromosome arm 17p, to molecularly characterize 75 Ta and T1 bladder carcinomas. We identified four major cellular processes related to cell cycle, protein synthesis, immune response, and extra cellular components that contribute to the expressional heterogeneity of early-stage urothelial cell carcinoma (UCC). Activating FGFR3 mutations were found at the highest frequency in G1 tumors (80%), and showed a strong correlation with FGFR3 expression. In contrast, G3 tumors displayed mutations in less than 10% of the cases and a low level of FGFR3 expression. Even though LOH on chromosome 9 was not associated with any specific expression pattern, our data indicate that loss of chromosome 9 is associated with tumor development rather than initiation. The combined analyses suggest the existence of two types of UCC tumors, one which is characterized by FGFR3 mutation or expression, high expression of protein synthesis genes, and low expression of cell cycle genes. Furthermore, the presented data underscore FGFR3 receptor involvement in urothelial cell transformation as the presence of FGFR3 mutations has a major impact on the global gene expression profile of bladder carcinomas."}
{"STANDARD_NAME":"KOINUMA_COLON_CANCER_MSI_DN","SYSTEMATIC_NAME":"M1177","ORGANISM":"Homo sapiens","PMID":"16247484","AUTHORS":"Koinuma K,Yamashita Y,Liu W,Hatanaka H,Kurashina K,Wada T,Takada S,Kaneda R,Choi YL,Fujiwara SI,Miyakura Y,Nagai H,Mano H","GEOID":"GSE2138","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in colorectal carcinoma samples positive for MSI (microsatellite instability) compared to the MSI negative ones.","DESCRIPTION_FULL":"Mutation or epigenetic silencing of mismatch repair genes, such as MLH1 and MSH2, results in microsatellite instability (MSI) in the genome of a subset of colorectal carcinomas (CRCs). However, little is yet known of genes that directly contribute to tumor formation in such cancers. To characterize MSI-dependent changes in gene expression, we have now compared transcriptomes between fresh CRC specimens positive or negative for MSI (n=10 for each) with the use of high-density oligonucleotide microarrays harboring >44,000 probe sets. Correspondence analysis of the expression patterns of isolated MSI-associated genes revealed that the transcriptome of MSI+ CRCs is clearly distinct from that of MSI- CRCs. Such MSI-associated genes included that for AXIN2, an important component of the WNT signaling pathway. AXIN2 was silenced, apparently as a result of extensive methylation of its promoter region, specifically in MSI+ CRC specimens. Forced expression of AXIN2, either by treatment with 5'-azacytidine or by transfection with AXIN2 cDNA, resulted in rapid cell death in an MSI+ CRC cell line. These data indicate that epigenetic silencing of AXIN2 is specifically associated with carcinogenesis in MSI+ CRCs."}
{"STANDARD_NAME":"CREIGHTON_AKT1_SIGNALING_VIA_MTOR_UP","SYSTEMATIC_NAME":"M16515","ORGANISM":"Homo sapiens","PMID":"17213801","AUTHORS":"Creighton CJ","GEOID":"GSE1379","EXACT_SOURCE":"Table 1: RAD001-insensitive","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes in the AKT1 [GeneID=207] pathway which are independent of MTOR [GeneID=2475], insensitive to RAD001 (everolimus) [PubChem=6442177].","DESCRIPTION_FULL":"The Akt pathway is commonly deregulated in many cancers. Clinical trials are currently underway to test the effectiveness of breast cancer treatment by inhibition of various Akt pathway intermediates. A set of genes induced by Akt in a transgenic mouse model, a subset of which were sensitive to mammalian target of rapamycin (mTOR) inhibitor RAD001, was examined in five public gene expression profile data sets of clinical breast tumor specimens (representing >1000 different samples in all). In each of the clinical data sets, the Akt mouse model genes as a group were significantly overexpressed in human tumors having high levels of AKT1 mRNA. The subset of genes both upregulated by Akt and dependent on mTOR activity were associated with estrogen receptor-negative status, higher grade, increasing tumor size and poor prognosis in multiple patient cohorts; these associations were either not present or not as strong for the Akt-induced, mTOR-independent genes or for AKT1 expression alone. The genes shown here to be relevant to Akt-mTOR both experimentally and pathologically have the potential for use in a molecular diagnostic to determine which patients should receive mTOR antagonist treatment."}
{"STANDARD_NAME":"NADERI_BREAST_CANCER_PROGNOSIS_DN","SYSTEMATIC_NAME":"M8629","ORGANISM":"Homo sapiens","PMID":"16936776","AUTHORS":"Naderi A,Teschendorff AE,Barbosa-Morais NL,Pinder SE,Green AR,Powe DG,Robertson JF,Aparicio S,Ellis IO,Brenton JD,Caldas C","GEOID":"E-UCon-1","EXACT_SOURCE":"Table 1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated genes in the breast cancer prognostic signature of 70 genes that significantly correlated with survival.","DESCRIPTION_FULL":"Prognostic signatures in breast cancer derived from microarray expression profiling have been reported by two independent groups. These signatures, however, have not been validated in external studies, making clinical application problematic. We performed microarray expression profiling of 135 early-stage tumors, from a cohort representative of the demographics of breast cancer. Using a recently proposed semisupervised method, we identified a prognostic signature of 70 genes that significantly correlated with survival (hazard ratio (HR): 5.97, 95% confidence interval: 3.0-11.9, P = 2.7e-07). In multivariate analysis, the signature performed independently of other standard prognostic classifiers such as the Nottingham Prognostic Index and the 'Adjuvant!' software. Using two different prognostic classification schemes and measures, nearest centroid (HR) and risk ordering (D-index), the 70-gene classifier was also found to be prognostic in two independent external data sets. Overall, the 70-gene set was prognostic in our study and the two external studies which collectively include 715 patients. In contrast, we found that the two previously described prognostic gene sets performed less optimally in external validation. Finally, a common prognostic module of 29 genes that associated with survival in both our cohort and the two external data sets was identified. In spite of these results, further studies that profile larger cohorts using a single microarray platform, will be needed before prospective clinical use of molecular classifiers can be contemplated."}
{"STANDARD_NAME":"CHIN_BREAST_CANCER_COPY_NUMBER_UP","SYSTEMATIC_NAME":"M672","ORGANISM":"Homo sapiens","PMID":"17001317","AUTHORS":"Chin SF,Wang Y,Thorne NP,Teschendorff AE,Pinder SE,Vias M,Naderi A,Roberts I,Barbosa-Morais NL,Garcia MJ,Iyer NG,Kranjac T,Robertson JF,Aparicio S,Tavaré S,Ellis I,Brenton JD,Caldas C","EXACT_SOURCE":"Fig 2b: gains","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes from common regions of gains observed in more than 15% of 148 primary breast cancer tumors.","DESCRIPTION_FULL":"We analysed 148 primary breast cancers using BAC-arrays containing 287 clones representing cancer-related gene/loci to obtain genomic molecular portraits. Gains were detected in 136 tumors (91.9%) and losses in 123 tumors (83.1%). Eight tumors (5.4%) did not have any genomic aberrations in the 281 clones analysed. Common (more than 15% of the samples) gains were observed at 8q11-qtel, 1q21-qtel, 17q11-q12 and 11q13, whereas common losses were observed at 16q12-qtel, 11ptel-p15.5, 1p36-ptel, 17p11.2-p12 and 8ptel-p22. Patients with tumors registering either less than 5% (median value) or less than 11% (third quartile) total copy number changes had a better overall survival (log-rank test: P=0.0417 and P=0.0375, respectively). Unsupervised hierarchical clustering based on copy number changes identified four clusters. Women with tumors from the cluster with amplification of three regions containing known breast oncogenes (11q13, 17q12 and 20q13) had a worse prognosis. The good prognosis group (Nottingham Prognostic Index (NPI) 1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in uterine fibroids with deletions in the 7q region vs those without the deletion.","DESCRIPTION_FULL":"Uterine fibroids are some of the most common tumours of females, but relatively little is known about their molecular basis. Several studies have suggested that deletions on chromosome 7q could have a role in fibroid formation. We analysed 165 sporadic uterine fibroids to define a small 3.2 megabase (Mb) commonly deleted region on 7q22.3-q31.1, flanked by clones AC005070 and AC007567. We also used oligonucleotide microarrays to compare the expression profiles of 10 samples of normal myometrium and 15 fibroids, nine of which displayed 7q-deletions. Activating transcription factor 3, patched homolog (Drosophila), homeo box A5, death-associated protein kinase 1, and retinoic acid receptor responder 3 were downregulated, and excision repair crosscomplementing 3, transcription factor AP-2 gamma and protein kinase C beta 1 were upregulated in fibroids. New pathways were discovered related to fibroid formation. The presence or absence of 7q-deletions did not dramatically affect the global expression pattern of the tumours; changes, however, were observed in genes related to vesicular transport and nucleic acid binding."}
{"STANDARD_NAME":"VANHARANTA_UTERINE_FIBROID_WITH_7Q_DELETION_DN","SYSTEMATIC_NAME":"M13327","ORGANISM":"Homo sapiens","PMID":"15940248","AUTHORS":"Vanharanta S,Wortham NC,Laiho P,Sjöberg J,Aittomäki K,Arola J,Tomlinson IP,Karhu A,Arango D,Aaltonen LA","EXACT_SOURCE":"Table 2S: fold change < 1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in uterine fibroids with deletions in the 7q region vs those without the deletion.","DESCRIPTION_FULL":"Uterine fibroids are some of the most common tumours of females, but relatively little is known about their molecular basis. Several studies have suggested that deletions on chromosome 7q could have a role in fibroid formation. We analysed 165 sporadic uterine fibroids to define a small 3.2 megabase (Mb) commonly deleted region on 7q22.3-q31.1, flanked by clones AC005070 and AC007567. We also used oligonucleotide microarrays to compare the expression profiles of 10 samples of normal myometrium and 15 fibroids, nine of which displayed 7q-deletions. Activating transcription factor 3, patched homolog (Drosophila), homeo box A5, death-associated protein kinase 1, and retinoic acid receptor responder 3 were downregulated, and excision repair crosscomplementing 3, transcription factor AP-2 gamma and protein kinase C beta 1 were upregulated in fibroids. New pathways were discovered related to fibroid formation. The presence or absence of 7q-deletions did not dramatically affect the global expression pattern of the tumours; changes, however, were observed in genes related to vesicular transport and nucleic acid binding."}
{"STANDARD_NAME":"LANDIS_ERBB2_BREAST_TUMORS_65_UP","SYSTEMATIC_NAME":"M6384","ORGANISM":"Mus musculus","PMID":"15897883","AUTHORS":"Landis MD,Seachrist DD,Montañez-Wiscovich ME,Danielpour D,Keri RA","GEOID":"GSE2528","EXACT_SOURCE":"Table 1: Increased in tumors","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Up-regulated genes from the 65 most significantly changed (p<0.01) genes identified by two analytical methods in the mammary tumors induced by transgenic expression of ERBB2 [GeneID=2064].","DESCRIPTION_FULL":"Upregulation of HER2/ErbB2/Neu occurs in 15-30% of human breast cancers and correlates with poor prognosis. Identification of ErbB2/Neu transcriptional targets should facilitate development of novel therapeutic approaches. Development of breast cancer is a multistep process; thus, to identify the transcriptomes associated with different stages of progression of tumorigenesis, we compared expression profiles of mammary tumors and preneoplastic mammary tissue from MMTV-Neu transgenic mice to expression profiles of wild-type mammary glands using Affymetrix microarrays. We identified 324 candidate genes that were unique to ErbB2/Neu-induced tumors relative to normal mammary gland tissue from wild-type controls. Expression of a subset of these genes (82) was also changed in the preneoplastic mammary glands compared to wild-type controls, indicating that they may play a pivotal role during early events of ErbB2/Neu-initiated mammary tumorigenesis. Further analysis of the microarray data revealed that expression of several known transforming growth factor (TGF)-beta target genes was altered, suggesting that the TGF-beta signaling cascade is downregulated in ErbB2/Neu-induced tumors. Western blot analysis for TGF-beta-Receptor-I/ALK5 and immunohistochemistry for TGF-beta-Receptor-I/ALK5 and phosphorylated/activated Smad2 confirmed that the Smad-dependent TGF-beta signaling cascade was inactive in these tumors. Although absent in most of the tumor, phosphorylated Smad2 was present in the periphery of tumors. Interestingly, presence of phosphorylated/activated Smad2 correlated with expression of Activin-Receptor-IB/ALK4, suggesting that although Smad-dependent TGF-beta signaling is absent in ErbB2/Neu-induced tumors, Activin signaling may be active at the leading edge of these tumors. Cumulatively, these data indicate that the TGF-beta pathway is intrinsically suppressed in ErbB2/Neu tumors via a mechanism involving loss of TGF-beta-Receptor-I/ALK5."}
{"STANDARD_NAME":"LANDIS_ERBB2_BREAST_PRENEOPLASTIC_UP","SYSTEMATIC_NAME":"M15209","ORGANISM":"Mus musculus","PMID":"15897883","AUTHORS":"Landis MD,Seachrist DD,Montañez-Wiscovich ME,Danielpour D,Keri RA","GEOID":"GSE2528","EXACT_SOURCE":"Table 2: Increased in adjacent erbB2/neu samples","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Up-regulated genes from top 82 genes out of the 324-gene signature identified in the pre-neoplastic tissue adjacent to the mammary tumors induced by transgenic expression of ERBB2 [GeneID=2064].","DESCRIPTION_FULL":"Upregulation of HER2/ErbB2/Neu occurs in 15-30% of human breast cancers and correlates with poor prognosis. Identification of ErbB2/Neu transcriptional targets should facilitate development of novel therapeutic approaches. Development of breast cancer is a multistep process; thus, to identify the transcriptomes associated with different stages of progression of tumorigenesis, we compared expression profiles of mammary tumors and preneoplastic mammary tissue from MMTV-Neu transgenic mice to expression profiles of wild-type mammary glands using Affymetrix microarrays. We identified 324 candidate genes that were unique to ErbB2/Neu-induced tumors relative to normal mammary gland tissue from wild-type controls. Expression of a subset of these genes (82) was also changed in the preneoplastic mammary glands compared to wild-type controls, indicating that they may play a pivotal role during early events of ErbB2/Neu-initiated mammary tumorigenesis. Further analysis of the microarray data revealed that expression of several known transforming growth factor (TGF)-beta target genes was altered, suggesting that the TGF-beta signaling cascade is downregulated in ErbB2/Neu-induced tumors. Western blot analysis for TGF-beta-Receptor-I/ALK5 and immunohistochemistry for TGF-beta-Receptor-I/ALK5 and phosphorylated/activated Smad2 confirmed that the Smad-dependent TGF-beta signaling cascade was inactive in these tumors. Although absent in most of the tumor, phosphorylated Smad2 was present in the periphery of tumors. Interestingly, presence of phosphorylated/activated Smad2 correlated with expression of Activin-Receptor-IB/ALK4, suggesting that although Smad-dependent TGF-beta signaling is absent in ErbB2/Neu-induced tumors, Activin signaling may be active at the leading edge of these tumors. Cumulatively, these data indicate that the TGF-beta pathway is intrinsically suppressed in ErbB2/Neu tumors via a mechanism involving loss of TGF-beta-Receptor-I/ALK5."}
{"STANDARD_NAME":"ODONNELL_METASTASIS_UP","SYSTEMATIC_NAME":"M265","ORGANISM":"Homo sapiens","PMID":"15558013","AUTHORS":"O'Donnell RK,Kupferman M,Wei SJ,Singhal S,Weber R,O'Malley B,Cheng Y,Putt M,Feldman M,Ziober B,Muschel RJ","GEOID":"GSE2280","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Up-regulated genes in the signature set for lymph node metastasis in head and neck squamous cell carcinoma (HNSCC).","DESCRIPTION_FULL":"Metastasis via the lymphatics is a major risk factor in squamous cell carcinoma of the oral cavity (OSCC). We sought to determine whether the presence of metastasis in the regional lymph node could be predicted by a gene expression signature of the primary tumor. A total of 18 OSCCs were characterized for gene expression by hybridizing RNA to Affymetrix U133A gene chips. Genes with differential expression were identified using a permutation technique and verified by quantitative RT-PCR and immunohistochemistry. A predictive rule was built using a support vector machine, and the accuracy of the rule was evaluated using crossvalidation on the original data set and prediction of an independent set of four patients. Metastatic primary tumors could be differentiated from nonmetastatic primary tumors by a signature gene set of 116 genes. This signature gene set correctly predicted the four independent patients as well as associating five lymph node metastases from the original patient set with the metastatic primary tumor group. We concluded that lymph node metastasis could be predicted by gene expression profiles of primary oral cavity squamous cell carcinomas. The presence of a gene expression signature for lymph node metastasis indicates that clinical testing to assess risk for lymph node metastasis should be possible."}
{"STANDARD_NAME":"ODONNELL_METASTASIS_DN","SYSTEMATIC_NAME":"M6311","ORGANISM":"Homo sapiens","PMID":"15558013","AUTHORS":"O'Donnell RK,Kupferman M,Wei SJ,Singhal S,Weber R,O'Malley B,Cheng Y,Putt M,Feldman M,Ziober B,Muschel RJ","GEOID":"GSE2280","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated genes in the signature set for lymph node metastasis in head and neck squamous cell carcinoma (HNSCC).","DESCRIPTION_FULL":"Metastasis via the lymphatics is a major risk factor in squamous cell carcinoma of the oral cavity (OSCC). We sought to determine whether the presence of metastasis in the regional lymph node could be predicted by a gene expression signature of the primary tumor. A total of 18 OSCCs were characterized for gene expression by hybridizing RNA to Affymetrix U133A gene chips. Genes with differential expression were identified using a permutation technique and verified by quantitative RT-PCR and immunohistochemistry. A predictive rule was built using a support vector machine, and the accuracy of the rule was evaluated using crossvalidation on the original data set and prediction of an independent set of four patients. Metastatic primary tumors could be differentiated from nonmetastatic primary tumors by a signature gene set of 116 genes. This signature gene set correctly predicted the four independent patients as well as associating five lymph node metastases from the original patient set with the metastatic primary tumor group. We concluded that lymph node metastasis could be predicted by gene expression profiles of primary oral cavity squamous cell carcinomas. The presence of a gene expression signature for lymph node metastasis indicates that clinical testing to assess risk for lymph node metastasis should be possible."}
{"STANDARD_NAME":"GAUSSMANN_MLL_AF4_FUSION_TARGETS_A_UP","SYSTEMATIC_NAME":"M1110","ORGANISM":"Mus musculus","PMID":"17130830","AUTHORS":"Gaussmann A,Wenger T,Eberle I,Bursen A,Bracharz S,Herr I,Dingermann T,Marschalek R","EXACT_SOURCE":"Table AS","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Up-regulated genes from the set A (Fig. 5a): specific to cells expressing MLL-AF4 [GeneID=4297;4299] fusion protein alone.","DESCRIPTION_FULL":"The reciprocal chromosomal translocation t(4;11) is correlated with infant, childhood, adult and therapy-related high-risk acute leukemia. Here, we investigated the biological effects of MLL.AF4, AF4.MLL or the combination of both reciprocal fusion proteins in a conditional in vitro cell culture model system. Several parameters like cell growth, cell cycling capacity, apoptotic behavior and growth transformation were investigated under physiological and stress conditions. Co-transfected cells displayed the highest resistance against apoptotic triggers, cell cycling capacity and loss-of-contact inhibition. These analyses were complemented by gene expression profiling experiments and specific gene signatures were established for each of the three cell lines. Interestingly, co-transfected cells strongly upregulate the homeobox gene Nanog. In combination with Oct4, the Nanog homeoprotein is steering maintenance of pluripotency and self-renewal in embryonic stem cells. Transcription of Nanog and other stem cell factors, like Oct4 and Bmi1, was verified in biopsy material of t(4;11) patient cells which express both reciprocal t(4;11) fusion genes. In conclusion, the presence of both reciprocal MLL fusion proteins confers biological properties known from t(4;11) leukemia, suggesting that each of the two fusion proteins contribute specific properties and, in combination, also synergistic effects to the leukemic phenotype."}
{"STANDARD_NAME":"GAUSSMANN_MLL_AF4_FUSION_TARGETS_A_DN","SYSTEMATIC_NAME":"M1111","ORGANISM":"Mus musculus","PMID":"17130830","AUTHORS":"Gaussmann A,Wenger T,Eberle I,Bursen A,Bracharz S,Herr I,Dingermann T,Marschalek R","EXACT_SOURCE":"Table AS","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated genes from the set A (Fig. 5a): specific to cells expressing MLL-AF4 [GeneID=4297;4299] fusion protein alone.","DESCRIPTION_FULL":"The reciprocal chromosomal translocation t(4;11) is correlated with infant, childhood, adult and therapy-related high-risk acute leukemia. Here, we investigated the biological effects of MLL.AF4, AF4.MLL or the combination of both reciprocal fusion proteins in a conditional in vitro cell culture model system. Several parameters like cell growth, cell cycling capacity, apoptotic behavior and growth transformation were investigated under physiological and stress conditions. Co-transfected cells displayed the highest resistance against apoptotic triggers, cell cycling capacity and loss-of-contact inhibition. These analyses were complemented by gene expression profiling experiments and specific gene signatures were established for each of the three cell lines. Interestingly, co-transfected cells strongly upregulate the homeobox gene Nanog. In combination with Oct4, the Nanog homeoprotein is steering maintenance of pluripotency and self-renewal in embryonic stem cells. Transcription of Nanog and other stem cell factors, like Oct4 and Bmi1, was verified in biopsy material of t(4;11) patient cells which express both reciprocal t(4;11) fusion genes. In conclusion, the presence of both reciprocal MLL fusion proteins confers biological properties known from t(4;11) leukemia, suggesting that each of the two fusion proteins contribute specific properties and, in combination, also synergistic effects to the leukemic phenotype."}
{"STANDARD_NAME":"GAUSSMANN_MLL_AF4_FUSION_TARGETS_B_UP","SYSTEMATIC_NAME":"M14833","ORGANISM":"Mus musculus","PMID":"17130830","AUTHORS":"Gaussmann A,Wenger T,Eberle I,Bursen A,Bracharz S,Herr I,Dingermann T,Marschalek R","EXACT_SOURCE":"Table BS","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Up-regulated genes from the set B (Fig. 5a): specific signature shared by cells expressing either AF4-MLL or MLL-AF4 [GeneID=4299;4297] fusion proteins.","DESCRIPTION_FULL":"The reciprocal chromosomal translocation t(4;11) is correlated with infant, childhood, adult and therapy-related high-risk acute leukemia. Here, we investigated the biological effects of MLL.AF4, AF4.MLL or the combination of both reciprocal fusion proteins in a conditional in vitro cell culture model system. Several parameters like cell growth, cell cycling capacity, apoptotic behavior and growth transformation were investigated under physiological and stress conditions. Co-transfected cells displayed the highest resistance against apoptotic triggers, cell cycling capacity and loss-of-contact inhibition. These analyses were complemented by gene expression profiling experiments and specific gene signatures were established for each of the three cell lines. Interestingly, co-transfected cells strongly upregulate the homeobox gene Nanog. In combination with Oct4, the Nanog homeoprotein is steering maintenance of pluripotency and self-renewal in embryonic stem cells. Transcription of Nanog and other stem cell factors, like Oct4 and Bmi1, was verified in biopsy material of t(4;11) patient cells which express both reciprocal t(4;11) fusion genes. In conclusion, the presence of both reciprocal MLL fusion proteins confers biological properties known from t(4;11) leukemia, suggesting that each of the two fusion proteins contribute specific properties and, in combination, also synergistic effects to the leukemic phenotype."}
{"STANDARD_NAME":"GAUSSMANN_MLL_AF4_FUSION_TARGETS_B_DN","SYSTEMATIC_NAME":"M9012","ORGANISM":"Mus musculus","PMID":"17130830","AUTHORS":"Gaussmann A,Wenger T,Eberle I,Bursen A,Bracharz S,Herr I,Dingermann T,Marschalek R","EXACT_SOURCE":"Table BS","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated genes from the set B (Fig. 5a): specific signature shared by cells expressing either AF4-MLL or MLL-AF4 [GeneID=4299;4297] fusion proteins.","DESCRIPTION_FULL":"The reciprocal chromosomal translocation t(4;11) is correlated with infant, childhood, adult and therapy-related high-risk acute leukemia. Here, we investigated the biological effects of MLL.AF4, AF4.MLL or the combination of both reciprocal fusion proteins in a conditional in vitro cell culture model system. Several parameters like cell growth, cell cycling capacity, apoptotic behavior and growth transformation were investigated under physiological and stress conditions. Co-transfected cells displayed the highest resistance against apoptotic triggers, cell cycling capacity and loss-of-contact inhibition. These analyses were complemented by gene expression profiling experiments and specific gene signatures were established for each of the three cell lines. Interestingly, co-transfected cells strongly upregulate the homeobox gene Nanog. In combination with Oct4, the Nanog homeoprotein is steering maintenance of pluripotency and self-renewal in embryonic stem cells. Transcription of Nanog and other stem cell factors, like Oct4 and Bmi1, was verified in biopsy material of t(4;11) patient cells which express both reciprocal t(4;11) fusion genes. In conclusion, the presence of both reciprocal MLL fusion proteins confers biological properties known from t(4;11) leukemia, suggesting that each of the two fusion proteins contribute specific properties and, in combination, also synergistic effects to the leukemic phenotype."}
{"STANDARD_NAME":"GAUSSMANN_MLL_AF4_FUSION_TARGETS_C_UP","SYSTEMATIC_NAME":"M1113","ORGANISM":"Mus musculus","PMID":"17130830","AUTHORS":"Gaussmann A,Wenger T,Eberle I,Bursen A,Bracharz S,Herr I,Dingermann T,Marschalek R","EXACT_SOURCE":"Table CS","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Up-regulated genes from the set C (Fig. 5a): specific to cells expressing AF4-MLL [GeneID=4299;4297] fusion protein alone.","DESCRIPTION_FULL":"The reciprocal chromosomal translocation t(4;11) is correlated with infant, childhood, adult and therapy-related high-risk acute leukemia. Here, we investigated the biological effects of MLL.AF4, AF4.MLL or the combination of both reciprocal fusion proteins in a conditional in vitro cell culture model system. Several parameters like cell growth, cell cycling capacity, apoptotic behavior and growth transformation were investigated under physiological and stress conditions. Co-transfected cells displayed the highest resistance against apoptotic triggers, cell cycling capacity and loss-of-contact inhibition. These analyses were complemented by gene expression profiling experiments and specific gene signatures were established for each of the three cell lines. Interestingly, co-transfected cells strongly upregulate the homeobox gene Nanog. In combination with Oct4, the Nanog homeoprotein is steering maintenance of pluripotency and self-renewal in embryonic stem cells. Transcription of Nanog and other stem cell factors, like Oct4 and Bmi1, was verified in biopsy material of t(4;11) patient cells which express both reciprocal t(4;11) fusion genes. In conclusion, the presence of both reciprocal MLL fusion proteins confers biological properties known from t(4;11) leukemia, suggesting that each of the two fusion proteins contribute specific properties and, in combination, also synergistic effects to the leukemic phenotype."}
{"STANDARD_NAME":"GAUSSMANN_MLL_AF4_FUSION_TARGETS_C_DN","SYSTEMATIC_NAME":"M1115","ORGANISM":"Mus musculus","PMID":"17130830","AUTHORS":"Gaussmann A,Wenger T,Eberle I,Bursen A,Bracharz S,Herr I,Dingermann T,Marschalek R","EXACT_SOURCE":"Table CS","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated genes from the set C (Fig. 5a): specific to cells expressing AF4-MLL [GeneID=4299;4297] fusion protein alone.","DESCRIPTION_FULL":"The reciprocal chromosomal translocation t(4;11) is correlated with infant, childhood, adult and therapy-related high-risk acute leukemia. Here, we investigated the biological effects of MLL.AF4, AF4.MLL or the combination of both reciprocal fusion proteins in a conditional in vitro cell culture model system. Several parameters like cell growth, cell cycling capacity, apoptotic behavior and growth transformation were investigated under physiological and stress conditions. Co-transfected cells displayed the highest resistance against apoptotic triggers, cell cycling capacity and loss-of-contact inhibition. These analyses were complemented by gene expression profiling experiments and specific gene signatures were established for each of the three cell lines. Interestingly, co-transfected cells strongly upregulate the homeobox gene Nanog. In combination with Oct4, the Nanog homeoprotein is steering maintenance of pluripotency and self-renewal in embryonic stem cells. Transcription of Nanog and other stem cell factors, like Oct4 and Bmi1, was verified in biopsy material of t(4;11) patient cells which express both reciprocal t(4;11) fusion genes. In conclusion, the presence of both reciprocal MLL fusion proteins confers biological properties known from t(4;11) leukemia, suggesting that each of the two fusion proteins contribute specific properties and, in combination, also synergistic effects to the leukemic phenotype."}
{"STANDARD_NAME":"GAUSSMANN_MLL_AF4_FUSION_TARGETS_D_UP","SYSTEMATIC_NAME":"M1801","ORGANISM":"Mus musculus","PMID":"17130830","AUTHORS":"Gaussmann A,Wenger T,Eberle I,Bursen A,Bracharz S,Herr I,Dingermann T,Marschalek R","EXACT_SOURCE":"Table DS","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Up-regulated genes from the set D (Fig. 5a): specific signature shared by cells expressing MLL-AF4 [GeneID=4297;4299] alone and those expressing both MLL-AF4 and AF4-MLL fusion proteins.","DESCRIPTION_FULL":"The reciprocal chromosomal translocation t(4;11) is correlated with infant, childhood, adult and therapy-related high-risk acute leukemia. Here, we investigated the biological effects of MLL.AF4, AF4.MLL or the combination of both reciprocal fusion proteins in a conditional in vitro cell culture model system. Several parameters like cell growth, cell cycling capacity, apoptotic behavior and growth transformation were investigated under physiological and stress conditions. Co-transfected cells displayed the highest resistance against apoptotic triggers, cell cycling capacity and loss-of-contact inhibition. These analyses were complemented by gene expression profiling experiments and specific gene signatures were established for each of the three cell lines. Interestingly, co-transfected cells strongly upregulate the homeobox gene Nanog. In combination with Oct4, the Nanog homeoprotein is steering maintenance of pluripotency and self-renewal in embryonic stem cells. Transcription of Nanog and other stem cell factors, like Oct4 and Bmi1, was verified in biopsy material of t(4;11) patient cells which express both reciprocal t(4;11) fusion genes. In conclusion, the presence of both reciprocal MLL fusion proteins confers biological properties known from t(4;11) leukemia, suggesting that each of the two fusion proteins contribute specific properties and, in combination, also synergistic effects to the leukemic phenotype."}
{"STANDARD_NAME":"GAUSSMANN_MLL_AF4_FUSION_TARGETS_D_DN","SYSTEMATIC_NAME":"M527","ORGANISM":"Mus musculus","PMID":"17130830","AUTHORS":"Gaussmann A,Wenger T,Eberle I,Bursen A,Bracharz S,Herr I,Dingermann T,Marschalek R","EXACT_SOURCE":"Table DS","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated genes from the set D (Fig. 5a): specific signature shared by cells expressing MLL-AF4 [GeneID=4297;4299] alone and those expressing both MLL-AF4 and AF4-MLL fusion proteins.","DESCRIPTION_FULL":"The reciprocal chromosomal translocation t(4;11) is correlated with infant, childhood, adult and therapy-related high-risk acute leukemia. Here, we investigated the biological effects of MLL.AF4, AF4.MLL or the combination of both reciprocal fusion proteins in a conditional in vitro cell culture model system. Several parameters like cell growth, cell cycling capacity, apoptotic behavior and growth transformation were investigated under physiological and stress conditions. Co-transfected cells displayed the highest resistance against apoptotic triggers, cell cycling capacity and loss-of-contact inhibition. These analyses were complemented by gene expression profiling experiments and specific gene signatures were established for each of the three cell lines. Interestingly, co-transfected cells strongly upregulate the homeobox gene Nanog. In combination with Oct4, the Nanog homeoprotein is steering maintenance of pluripotency and self-renewal in embryonic stem cells. Transcription of Nanog and other stem cell factors, like Oct4 and Bmi1, was verified in biopsy material of t(4;11) patient cells which express both reciprocal t(4;11) fusion genes. In conclusion, the presence of both reciprocal MLL fusion proteins confers biological properties known from t(4;11) leukemia, suggesting that each of the two fusion proteins contribute specific properties and, in combination, also synergistic effects to the leukemic phenotype."}
{"STANDARD_NAME":"GAUSSMANN_MLL_AF4_FUSION_TARGETS_E_UP","SYSTEMATIC_NAME":"M11319","ORGANISM":"Mus musculus","PMID":"17130830","AUTHORS":"Gaussmann A,Wenger T,Eberle I,Bursen A,Bracharz S,Herr I,Dingermann T,Marschalek R","EXACT_SOURCE":"Table ES","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Up-regulated genes from the set E (Fig. 5a): specific signature shared by cells expressing either MLL-AF4 [GeneID=4297;4299] or AF4-MLL fusion proteins alone, and those expressing both fusion proteins.","DESCRIPTION_FULL":"The reciprocal chromosomal translocation t(4;11) is correlated with infant, childhood, adult and therapy-related high-risk acute leukemia. Here, we investigated the biological effects of MLL.AF4, AF4.MLL or the combination of both reciprocal fusion proteins in a conditional in vitro cell culture model system. Several parameters like cell growth, cell cycling capacity, apoptotic behavior and growth transformation were investigated under physiological and stress conditions. Co-transfected cells displayed the highest resistance against apoptotic triggers, cell cycling capacity and loss-of-contact inhibition. These analyses were complemented by gene expression profiling experiments and specific gene signatures were established for each of the three cell lines. Interestingly, co-transfected cells strongly upregulate the homeobox gene Nanog. In combination with Oct4, the Nanog homeoprotein is steering maintenance of pluripotency and self-renewal in embryonic stem cells. Transcription of Nanog and other stem cell factors, like Oct4 and Bmi1, was verified in biopsy material of t(4;11) patient cells which express both reciprocal t(4;11) fusion genes. In conclusion, the presence of both reciprocal MLL fusion proteins confers biological properties known from t(4;11) leukemia, suggesting that each of the two fusion proteins contribute specific properties and, in combination, also synergistic effects to the leukemic phenotype."}
{"STANDARD_NAME":"GAUSSMANN_MLL_AF4_FUSION_TARGETS_E_DN","SYSTEMATIC_NAME":"M2039","ORGANISM":"Mus musculus","PMID":"17130830","AUTHORS":"Gaussmann A,Wenger T,Eberle I,Bursen A,Bracharz S,Herr I,Dingermann T,Marschalek R","EXACT_SOURCE":"Table ES","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated genes from the set E (Fig. 5a): specific signature shared by cells expressing either MLL-AF4 [GeneID=4297;4299] or AF4-MLL fusion proteins alone, and those expressing both fusion proteins.","DESCRIPTION_FULL":"The reciprocal chromosomal translocation t(4;11) is correlated with infant, childhood, adult and therapy-related high-risk acute leukemia. Here, we investigated the biological effects of MLL.AF4, AF4.MLL or the combination of both reciprocal fusion proteins in a conditional in vitro cell culture model system. Several parameters like cell growth, cell cycling capacity, apoptotic behavior and growth transformation were investigated under physiological and stress conditions. Co-transfected cells displayed the highest resistance against apoptotic triggers, cell cycling capacity and loss-of-contact inhibition. These analyses were complemented by gene expression profiling experiments and specific gene signatures were established for each of the three cell lines. Interestingly, co-transfected cells strongly upregulate the homeobox gene Nanog. In combination with Oct4, the Nanog homeoprotein is steering maintenance of pluripotency and self-renewal in embryonic stem cells. Transcription of Nanog and other stem cell factors, like Oct4 and Bmi1, was verified in biopsy material of t(4;11) patient cells which express both reciprocal t(4;11) fusion genes. In conclusion, the presence of both reciprocal MLL fusion proteins confers biological properties known from t(4;11) leukemia, suggesting that each of the two fusion proteins contribute specific properties and, in combination, also synergistic effects to the leukemic phenotype."}
{"STANDARD_NAME":"GAUSSMANN_MLL_AF4_FUSION_TARGETS_F_DN","SYSTEMATIC_NAME":"M588","ORGANISM":"Mus musculus","PMID":"17130830","AUTHORS":"Gaussmann A,Wenger T,Eberle I,Bursen A,Bracharz S,Herr I,Dingermann T,Marschalek R","EXACT_SOURCE":"Table FS","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regualted genes from the set F (Fig. 5a): specific signature shared by cells expressing AF4-MLL [GeneID=4299;4297] alone and those expressing both AF4-MLL and MLL-AF4 fusion proteins.","DESCRIPTION_FULL":"The reciprocal chromosomal translocation t(4;11) is correlated with infant, childhood, adult and therapy-related high-risk acute leukemia. Here, we investigated the biological effects of MLL.AF4, AF4.MLL or the combination of both reciprocal fusion proteins in a conditional in vitro cell culture model system. Several parameters like cell growth, cell cycling capacity, apoptotic behavior and growth transformation were investigated under physiological and stress conditions. Co-transfected cells displayed the highest resistance against apoptotic triggers, cell cycling capacity and loss-of-contact inhibition. These analyses were complemented by gene expression profiling experiments and specific gene signatures were established for each of the three cell lines. Interestingly, co-transfected cells strongly upregulate the homeobox gene Nanog. In combination with Oct4, the Nanog homeoprotein is steering maintenance of pluripotency and self-renewal in embryonic stem cells. Transcription of Nanog and other stem cell factors, like Oct4 and Bmi1, was verified in biopsy material of t(4;11) patient cells which express both reciprocal t(4;11) fusion genes. In conclusion, the presence of both reciprocal MLL fusion proteins confers biological properties known from t(4;11) leukemia, suggesting that each of the two fusion proteins contribute specific properties and, in combination, also synergistic effects to the leukemic phenotype."}
{"STANDARD_NAME":"GAUSSMANN_MLL_AF4_FUSION_TARGETS_G_DN","SYSTEMATIC_NAME":"M11023","ORGANISM":"Mus musculus","PMID":"17130830","AUTHORS":"Gaussmann A,Wenger T,Eberle I,Bursen A,Bracharz S,Herr I,Dingermann T,Marschalek R","EXACT_SOURCE":"Table GS","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated genes from the set G (Fig. 5a): specific to cells expressing both MLL-AF4 [GeneID=4297;4299] and AF4-MLL fusion proteins.","DESCRIPTION_FULL":"The reciprocal chromosomal translocation t(4;11) is correlated with infant, childhood, adult and therapy-related high-risk acute leukemia. Here, we investigated the biological effects of MLL.AF4, AF4.MLL or the combination of both reciprocal fusion proteins in a conditional in vitro cell culture model system. Several parameters like cell growth, cell cycling capacity, apoptotic behavior and growth transformation were investigated under physiological and stress conditions. Co-transfected cells displayed the highest resistance against apoptotic triggers, cell cycling capacity and loss-of-contact inhibition. These analyses were complemented by gene expression profiling experiments and specific gene signatures were established for each of the three cell lines. Interestingly, co-transfected cells strongly upregulate the homeobox gene Nanog. In combination with Oct4, the Nanog homeoprotein is steering maintenance of pluripotency and self-renewal in embryonic stem cells. Transcription of Nanog and other stem cell factors, like Oct4 and Bmi1, was verified in biopsy material of t(4;11) patient cells which express both reciprocal t(4;11) fusion genes. In conclusion, the presence of both reciprocal MLL fusion proteins confers biological properties known from t(4;11) leukemia, suggesting that each of the two fusion proteins contribute specific properties and, in combination, also synergistic effects to the leukemic phenotype."}
{"STANDARD_NAME":"BERENJENO_TRANSFORMED_BY_RHOA_FOREVER_UP","SYSTEMATIC_NAME":"M7919","ORGANISM":"Mus musculus","PMID":"17213802","AUTHORS":"Berenjeno IM,Núñez F,Bustelo XR","GEOID":"GSE5913","EXACT_SOURCE":"Table 4S: RhoAi > 1","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in NIH3T3 cells (fibroblasts) transfrormed by expression of constitutively active (Q63L) form of RHOA [GeneID=387] off plasmid vector; their expression did NOT reverted completely after treatment with Y27632 [PubChem=123862], an inhibitor of ROCK proteins.","DESCRIPTION_FULL":"We have used microarray technology to identify the transcriptional targets of Rho subfamily guanosine 5'-triphosphate (GTP)ases in NIH3T3 cells. This analysis indicated that murine fibroblasts transformed by these proteins show similar transcriptomal profiles. Functional annotation of the regulated genes indicate that Rho subfamily GTPases target a wide spectrum of functions, although loci encoding proteins linked to proliferation and DNA synthesis/transcription are upregulated preferentially. Rho proteins promote four main networks of interacting proteins nucleated around E2F, c-Jun, c-Myc and p53. Of those, E2F, c-Jun and c-Myc are essential for the maintenance of cell transformation. Inhibition of Rock, one of the main Rho GTPase targets, leads to small changes in the transcriptome of Rho-transformed cells. Rock inhibition decreases c-myc gene expression without affecting the E2F and c-Jun pathways. Loss-of-function studies demonstrate that c-Myc is important for the blockage of cell-contact inhibition rather than for promoting the proliferation of Rho-transformed cells. However, c-Myc overexpression does not bypass the inhibition of cell transformation induced by Rock blockage, indicating that c-Myc is essential, but not sufficient, for Rock-dependent transformation. These results reveal the complexity of the genetic program orchestrated by the Rho subfamily and pinpoint protein networks that mediate different aspects of the malignant phenotype of Rho-transformed cells."}
{"STANDARD_NAME":"OUELLET_OVARIAN_CANCER_INVASIVE_VS_LMP_DN","SYSTEMATIC_NAME":"M10336","ORGANISM":"Homo sapiens","PMID":"15940270","AUTHORS":"Ouellet V,Provencher DM,Maugard CM,Le Page C,Ren F,Lussier C,Novak J,Ge B,Hudson TJ,Tonin PN,Mes-Masson AM","EXACT_SOURCE":"Table 4S: Pgc > 0","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in epithelial ovarian cancer (EOC) biopsies: invasive (TOV) vs low malignant potential (LMP) tumors.","DESCRIPTION_FULL":"Tumors of low malignant potential (LMP) represent 20% of epithelial ovarian cancers (EOCs) and are associated with a better prognosis than the invasive tumors (TOV). Defining the relationship between LMPs and TOVs remains an important goal towards understanding the molecular pathways that contribute to prognosis, as well as providing molecular markers, for these EOCs. To this end, DNA microarray analyses were performed either in a primary culture or a tumor tissue model system and selected candidate genes showing a distinctive expression profile between LMPs and TOVs were identified using a class prediction approach based on three statistical methods of analysis. Both model systems appear relevant as candidate genes identified by either model allowed the proper reclassification of samples as either LMPs or TOVs. Selected candidate genes (CAS, CCNE1, LGALS8, ITGbeta3, ATP1B1, FLIP, KRT7 and KRT19) were validated by real-time quantitative PCR analysis and show differential expression between LMPs and TOVs. Immunohistochemistry analyses showed that the two tumor classes were distinguishable by their expression of CAS, TNFR1A, FLIP, CKS1 and CCNE1. These results define signature patterns for gene expression of LMPs and TOVs and identify gene candidates that warrant further study to deepen our understanding of the biology of EOC."}
{"STANDARD_NAME":"LANDIS_ERBB2_BREAST_TUMORS_324_UP","SYSTEMATIC_NAME":"M366","ORGANISM":"Mus musculus","PMID":"15897883","AUTHORS":"Landis MD,Seachrist DD,Montañez-Wiscovich ME,Danielpour D,Keri RA","GEOID":"GSE2528","EXACT_SOURCE":"Table 2S: Fold change: TUvsWT > 1","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Up-regulated genes from the 324 genes identified by two analytical methods as changed in the mammary tumors induced by transgenic expression of ERBB2 [GeneID=2064].","DESCRIPTION_FULL":"Upregulation of HER2/ErbB2/Neu occurs in 15-30% of human breast cancers and correlates with poor prognosis. Identification of ErbB2/Neu transcriptional targets should facilitate development of novel therapeutic approaches. Development of breast cancer is a multistep process; thus, to identify the transcriptomes associated with different stages of progression of tumorigenesis, we compared expression profiles of mammary tumors and preneoplastic mammary tissue from MMTV-Neu transgenic mice to expression profiles of wild-type mammary glands using Affymetrix microarrays. We identified 324 candidate genes that were unique to ErbB2/Neu-induced tumors relative to normal mammary gland tissue from wild-type controls. Expression of a subset of these genes (82) was also changed in the preneoplastic mammary glands compared to wild-type controls, indicating that they may play a pivotal role during early events of ErbB2/Neu-initiated mammary tumorigenesis. Further analysis of the microarray data revealed that expression of several known transforming growth factor (TGF)-beta target genes was altered, suggesting that the TGF-beta signaling cascade is downregulated in ErbB2/Neu-induced tumors. Western blot analysis for TGF-beta-Receptor-I/ALK5 and immunohistochemistry for TGF-beta-Receptor-I/ALK5 and phosphorylated/activated Smad2 confirmed that the Smad-dependent TGF-beta signaling cascade was inactive in these tumors. Although absent in most of the tumor, phosphorylated Smad2 was present in the periphery of tumors. Interestingly, presence of phosphorylated/activated Smad2 correlated with expression of Activin-Receptor-IB/ALK4, suggesting that although Smad-dependent TGF-beta signaling is absent in ErbB2/Neu-induced tumors, Activin signaling may be active at the leading edge of these tumors. Cumulatively, these data indicate that the TGF-beta pathway is intrinsically suppressed in ErbB2/Neu tumors via a mechanism involving loss of TGF-beta-Receptor-I/ALK5."}
{"STANDARD_NAME":"BARRIER_CANCER_RELAPSE_NORMAL_SAMPLE_UP","SYSTEMATIC_NAME":"M1595","ORGANISM":"Homo sapiens","PMID":"16091735","AUTHORS":"Barrier A,Lemoine A,Boelle PY,Tse C,Brault D,Chiappini F,Breittschneider J,Lacaine F,Houry S,Huguier M,Van der Laan MJ,Speed T,Debuire B,Flahault A,Dudoit S","EXACT_SOURCE":"Table 1: Overexpressed genes in patients who developed a recurrence","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Up-regulated genes in non-neoplastic mucosa samples from colon cancer patients who developed recurrence of the disease.","DESCRIPTION_FULL":"This study assessed the possibility to build a prognosis predictor, based on microarray gene expression measures, in stage II and III colon cancer patients. Tumour (T) and non-neoplastic mucosa (NM) mRNA samples from 18 patients (nine with a recurrence, nine with no recurrence) were profiled using the Affymetrix HGU133A GeneChip. The k-nearest neighbour method was used for prognosis prediction using T and NM gene expression measures. Six-fold cross-validation was applied to select the number of neighbours and the number of informative genes to include in the predictors. Based on this information, one T-based and one NM-based predictor were proposed and their accuracies were estimated by double cross-validation. In six-fold cross-validation, the lowest numbers of informative genes giving the lowest numbers of false predictions (two out of 18) were 30 and 70 with the T and NM gene expression measures, respectively. A 30-gene T-based predictor and a 70-gene NM-based predictor were then built, with estimated accuracies of 78 and 83%, respectively. This study suggests that one can build an accurate prognosis predictor for stage II and III colon cancer patients, based on gene expression measures, and one can use either tumour or non-neoplastic mucosa for this purpose."}
{"STANDARD_NAME":"BARRIER_CANCER_RELAPSE_NORMAL_SAMPLE_DN","SYSTEMATIC_NAME":"M4671","ORGANISM":"Homo sapiens","PMID":"16091735","AUTHORS":"Barrier A,Lemoine A,Boelle PY,Tse C,Brault D,Chiappini F,Breittschneider J,Lacaine F,Houry S,Huguier M,Van der Laan MJ,Speed T,Debuire B,Flahault A,Dudoit S","EXACT_SOURCE":"Table 1: Overexpressed genes in patients who remained disease-free","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated genes in non-neoplastic mucosa samples from colon cancer patients who developed recurrence of the disease.","DESCRIPTION_FULL":"This study assessed the possibility to build a prognosis predictor, based on microarray gene expression measures, in stage II and III colon cancer patients. Tumour (T) and non-neoplastic mucosa (NM) mRNA samples from 18 patients (nine with a recurrence, nine with no recurrence) were profiled using the Affymetrix HGU133A GeneChip. The k-nearest neighbour method was used for prognosis prediction using T and NM gene expression measures. Six-fold cross-validation was applied to select the number of neighbours and the number of informative genes to include in the predictors. Based on this information, one T-based and one NM-based predictor were proposed and their accuracies were estimated by double cross-validation. In six-fold cross-validation, the lowest numbers of informative genes giving the lowest numbers of false predictions (two out of 18) were 30 and 70 with the T and NM gene expression measures, respectively. A 30-gene T-based predictor and a 70-gene NM-based predictor were then built, with estimated accuracies of 78 and 83%, respectively. This study suggests that one can build an accurate prognosis predictor for stage II and III colon cancer patients, based on gene expression measures, and one can use either tumour or non-neoplastic mucosa for this purpose."}
{"STANDARD_NAME":"BARRIER_CANCER_RELAPSE_TUMOR_SAMPLE_UP","SYSTEMATIC_NAME":"M6046","ORGANISM":"Homo sapiens","PMID":"16091735","AUTHORS":"Barrier A,Lemoine A,Boelle PY,Tse C,Brault D,Chiappini F,Breittschneider J,Lacaine F,Houry S,Huguier M,Van der Laan MJ,Speed T,Debuire B,Flahault A,Dudoit S","EXACT_SOURCE":"Table 2: Overexpressed genes in patients who developed a recurrence","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Up-regulated genes in tumor samples from colon cancer patients who developed recurrence of the disease.","DESCRIPTION_FULL":"This study assessed the possibility to build a prognosis predictor, based on microarray gene expression measures, in stage II and III colon cancer patients. Tumour (T) and non-neoplastic mucosa (NM) mRNA samples from 18 patients (nine with a recurrence, nine with no recurrence) were profiled using the Affymetrix HGU133A GeneChip. The k-nearest neighbour method was used for prognosis prediction using T and NM gene expression measures. Six-fold cross-validation was applied to select the number of neighbours and the number of informative genes to include in the predictors. Based on this information, one T-based and one NM-based predictor were proposed and their accuracies were estimated by double cross-validation. In six-fold cross-validation, the lowest numbers of informative genes giving the lowest numbers of false predictions (two out of 18) were 30 and 70 with the T and NM gene expression measures, respectively. A 30-gene T-based predictor and a 70-gene NM-based predictor were then built, with estimated accuracies of 78 and 83%, respectively. This study suggests that one can build an accurate prognosis predictor for stage II and III colon cancer patients, based on gene expression measures, and one can use either tumour or non-neoplastic mucosa for this purpose."}
{"STANDARD_NAME":"BARRIER_CANCER_RELAPSE_TUMOR_SAMPLE_DN","SYSTEMATIC_NAME":"M17068","ORGANISM":"Homo sapiens","PMID":"16091735","AUTHORS":"Barrier A,Lemoine A,Boelle PY,Tse C,Brault D,Chiappini F,Breittschneider J,Lacaine F,Houry S,Huguier M,Van der Laan MJ,Speed T,Debuire B,Flahault A,Dudoit S","EXACT_SOURCE":"Table 2: Overexpressed genes in patients who remained disease-free","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated genes in tumor samples from colon cancer patients who developed recurrence of the disease.","DESCRIPTION_FULL":"This study assessed the possibility to build a prognosis predictor, based on microarray gene expression measures, in stage II and III colon cancer patients. Tumour (T) and non-neoplastic mucosa (NM) mRNA samples from 18 patients (nine with a recurrence, nine with no recurrence) were profiled using the Affymetrix HGU133A GeneChip. The k-nearest neighbour method was used for prognosis prediction using T and NM gene expression measures. Six-fold cross-validation was applied to select the number of neighbours and the number of informative genes to include in the predictors. Based on this information, one T-based and one NM-based predictor were proposed and their accuracies were estimated by double cross-validation. In six-fold cross-validation, the lowest numbers of informative genes giving the lowest numbers of false predictions (two out of 18) were 30 and 70 with the T and NM gene expression measures, respectively. A 30-gene T-based predictor and a 70-gene NM-based predictor were then built, with estimated accuracies of 78 and 83%, respectively. This study suggests that one can build an accurate prognosis predictor for stage II and III colon cancer patients, based on gene expression measures, and one can use either tumour or non-neoplastic mucosa for this purpose."}
{"STANDARD_NAME":"BARIS_THYROID_CANCER_UP","SYSTEMATIC_NAME":"M2837","ORGANISM":"Homo sapiens","PMID":"15806164","AUTHORS":"Baris O,Mirebeau-Prunier D,Savagner F,Rodien P,Ballester B,Loriod B,Granjeaud S,Guyetant S,Franc B,Houlgatte R,Reynier P,Malthiery Y","EXACT_SOURCE":"Table 1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in oncocytic follicular carcinoma (FTC) vs mitochondrial-rich papillary carcinoma (PTC) types of thyroid cancer.","DESCRIPTION_FULL":"The oncogenic pathways in mitochondrial-rich thyroid carcinomas are not clearly understood. To investigate the possible implication of mitochondrial abundance in the genesis of thyroid tumors, we have explored the gene expression profile of six oncocytic carcinomas and six mitochondrial-rich papillary carcinomas using cDNA-microarray technology. A supervised approach allowed us to identify 83 genes differentially expressed in the two types of carcinoma. These genes were classified according to their ontologic profiles. Three genes, NOS3, alpha-actinin-2 and alpha-catenin, suspected of playing a role in tumor genesis, were explored by quantitative RT-PCR analysis and immunohistochemistry. Of the 59 genes overexpressed in papillary carcinomas, 51% were involved in cell communication. Of the 24 genes overexpressed in oncocytic carcinomas, 84% were involved in mitochondrial and cellular metabolism. Our results suggest that mitochondrial respiratory chain complexes III and IV play a significant role in the regulation of reactive oxygen species production by oncocytic tumors."}
{"STANDARD_NAME":"BARIS_THYROID_CANCER_DN","SYSTEMATIC_NAME":"M15411","ORGANISM":"Homo sapiens","PMID":"15806164","AUTHORS":"Baris O,Mirebeau-Prunier D,Savagner F,Rodien P,Ballester B,Loriod B,Granjeaud S,Guyetant S,Franc B,Houlgatte R,Reynier P,Malthiery Y","EXACT_SOURCE":"Table 2","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in oncocytic follicular carcinoma (FTC) vs mitochondrial-rich papillary carcinoma (PTC) types of thyroid cancer.","DESCRIPTION_FULL":"The oncogenic pathways in mitochondrial-rich thyroid carcinomas are not clearly understood. To investigate the possible implication of mitochondrial abundance in the genesis of thyroid tumors, we have explored the gene expression profile of six oncocytic carcinomas and six mitochondrial-rich papillary carcinomas using cDNA-microarray technology. A supervised approach allowed us to identify 83 genes differentially expressed in the two types of carcinoma. These genes were classified according to their ontologic profiles. Three genes, NOS3, alpha-actinin-2 and alpha-catenin, suspected of playing a role in tumor genesis, were explored by quantitative RT-PCR analysis and immunohistochemistry. Of the 59 genes overexpressed in papillary carcinomas, 51% were involved in cell communication. Of the 24 genes overexpressed in oncocytic carcinomas, 84% were involved in mitochondrial and cellular metabolism. Our results suggest that mitochondrial respiratory chain complexes III and IV play a significant role in the regulation of reactive oxygen species production by oncocytic tumors."}
{"STANDARD_NAME":"TAKADA_GASTRIC_CANCER_COPY_NUMBER_UP","SYSTEMATIC_NAME":"M2212","ORGANISM":"Homo sapiens","PMID":"16103878","AUTHORS":"Takada H,Imoto I,Tsuda H,Nakanishi Y,Ichikura T,Mochizuki H,Mitsufuji S,Hosoda F,Hirohashi S,Ohki M,Inazawa J","EXACT_SOURCE":"Table 1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Candidate genes in the regions of copy number gain in gastric cancer cell lines.","DESCRIPTION_FULL":"Array-based comparative genomic hybridization (CGH-array) has a powerful potential for high-throughput identification of genetic aberrations in cell genomes. We identified a homozygous loss of ADAM23 (2q33.3) in the course of a program to screen a panel of gastric cancer (GC) cell lines (1/32, 3.1%) for genomic copy-number aberrations using our custom-made CGH-array. Infrequent homozygous deletion of ADAM23 was also seen in primary gastric tumors (1/39, 2.6%). ADAM23 mRNA was expressed in normal stomach tissue, but not in the majority of GC cell lines without homozygous deletion of this gene. Expression of ADAM23 mRNA was restored to gene-silenced GC cells after treatment with 5-aza 2'-deoxycytidine. The methylation status of the ADAM23 CpG island, which showed promoter activity, correlated inversely with its expression. Methylation of this CpG island was observed both in GC cell lines and in primary GC tissues; in primary tumors with a hypermethylated CpG island, expression of ADAM23 was lower than in adjacent noncancerous tissues. Moreover, restoration of ADAM23 in GC cells reduced their numbers in colony-formation assays. These results suggest that genetic or epigenetic silencing by hypermethylation of the ADAM23 CpG-rich promoter region leads to loss of ADAM23 function, which may be a factor in gastric carcinogenesis."}
{"STANDARD_NAME":"TAKADA_GASTRIC_CANCER_COPY_NUMBER_DN","SYSTEMATIC_NAME":"M11405","ORGANISM":"Homo sapiens","PMID":"16103878","AUTHORS":"Takada H,Imoto I,Tsuda H,Nakanishi Y,Ichikura T,Mochizuki H,Mitsufuji S,Hosoda F,Hirohashi S,Ohki M,Inazawa J","EXACT_SOURCE":"Table 2","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Candidate genes in the regions of copy number loss in gastric cancer cell lines.","DESCRIPTION_FULL":"Array-based comparative genomic hybridization (CGH-array) has a powerful potential for high-throughput identification of genetic aberrations in cell genomes. We identified a homozygous loss of ADAM23 (2q33.3) in the course of a program to screen a panel of gastric cancer (GC) cell lines (1/32, 3.1%) for genomic copy-number aberrations using our custom-made CGH-array. Infrequent homozygous deletion of ADAM23 was also seen in primary gastric tumors (1/39, 2.6%). ADAM23 mRNA was expressed in normal stomach tissue, but not in the majority of GC cell lines without homozygous deletion of this gene. Expression of ADAM23 mRNA was restored to gene-silenced GC cells after treatment with 5-aza 2'-deoxycytidine. The methylation status of the ADAM23 CpG island, which showed promoter activity, correlated inversely with its expression. Methylation of this CpG island was observed both in GC cell lines and in primary GC tissues; in primary tumors with a hypermethylated CpG island, expression of ADAM23 was lower than in adjacent noncancerous tissues. Moreover, restoration of ADAM23 in GC cells reduced their numbers in colony-formation assays. These results suggest that genetic or epigenetic silencing by hypermethylation of the ADAM23 CpG-rich promoter region leads to loss of ADAM23 function, which may be a factor in gastric carcinogenesis."}
{"STANDARD_NAME":"WANG_BARRETTS_ESOPHAGUS_AND_ESOPHAGUS_CANCER_UP","SYSTEMATIC_NAME":"M8924","ORGANISM":"Homo sapiens","PMID":"16449976","AUTHORS":"Wang S,Zhan M,Yin J,Abraham JM,Mori Y,Sato F,Xu Y,Olaru A,Berki AT,Li H,Schulmann K,Kan T,Hamilton JP,Paun B,Yu MM,Jin Z,Cheng Y,Ito T,Mantzur C,Greenwald BD,Meltzer SJ","EXACT_SOURCE":"Table 1: Fold change > 1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in esophageal adenocarcinoma (EAC) and Barret's esophagus (BE) relative to normal esophagi.","DESCRIPTION_FULL":"To investigate the relationship between Barrett's esophagus (BE) and esophageal adenocarcinoma (EAC), we determined gene expression profiles of discrete pathological stages of esophageal neoplasia using a sequence-verified human cDNA microarray. Fifty one RNAs, comprising 24 normal esophagi (NE), 18 BEs, and nine EACs were hybridized to cDNA microarrays. Five statistical analyses were used for the data analysis. Genes showing significantly different expression levels among the three sample groups were identified. Genes were grouped into functional categories based on the Gene Ontology Consortium. Surprisingly, the expression pattern of BE was significantly more similar to EAC than to NE, notwithstanding the known histopathologic differences between BE and EAC. The pattern of NE was clearly distinct from that of EAC. Thirty-six genes were the most differentially modulated, according to these microarray data, in BE-associated neoplastic progression. Twelve genes were significantly differentially expressed in cancer-associated BE's plus EAC (as a single combined tissue group) vs noncancer-associated BE's. These genes represent potential biomarkers to diagnose EAC at its early stages. Our results demonstrate that molecular events at the transcriptional level in BE are remarkably similar to BE's-associated adenocarcinoma of the esophagus. This finding alarmingly implies that BE is biologically closer to cancer than to normal esophagus, and that the cancer risk of BE is perhaps higher than we had imagined. These findings suggest that changes modulated at the molecular biologic level supervene earlier than histologic changes, and that BE is an early intermediate stage in the process of EAC."}
{"STANDARD_NAME":"WANG_BARRETTS_ESOPHAGUS_AND_ESOPHAGUS_CANCER_DN","SYSTEMATIC_NAME":"M16944","ORGANISM":"Homo sapiens","PMID":"16449976","AUTHORS":"Wang S,Zhan M,Yin J,Abraham JM,Mori Y,Sato F,Xu Y,Olaru A,Berki AT,Li H,Schulmann K,Kan T,Hamilton JP,Paun B,Yu MM,Jin Z,Cheng Y,Ito T,Mantzur C,Greenwald BD,Meltzer SJ","EXACT_SOURCE":"Table 1: Fold change < 1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in esophageal adenocarcinoma (EAC) and Barret's esophagus (BE) relative to normal esophagi.","DESCRIPTION_FULL":"To investigate the relationship between Barrett's esophagus (BE) and esophageal adenocarcinoma (EAC), we determined gene expression profiles of discrete pathological stages of esophageal neoplasia using a sequence-verified human cDNA microarray. Fifty one RNAs, comprising 24 normal esophagi (NE), 18 BEs, and nine EACs were hybridized to cDNA microarrays. Five statistical analyses were used for the data analysis. Genes showing significantly different expression levels among the three sample groups were identified. Genes were grouped into functional categories based on the Gene Ontology Consortium. Surprisingly, the expression pattern of BE was significantly more similar to EAC than to NE, notwithstanding the known histopathologic differences between BE and EAC. The pattern of NE was clearly distinct from that of EAC. Thirty-six genes were the most differentially modulated, according to these microarray data, in BE-associated neoplastic progression. Twelve genes were significantly differentially expressed in cancer-associated BE's plus EAC (as a single combined tissue group) vs noncancer-associated BE's. These genes represent potential biomarkers to diagnose EAC at its early stages. Our results demonstrate that molecular events at the transcriptional level in BE are remarkably similar to BE's-associated adenocarcinoma of the esophagus. This finding alarmingly implies that BE is biologically closer to cancer than to normal esophagus, and that the cancer risk of BE is perhaps higher than we had imagined. These findings suggest that changes modulated at the molecular biologic level supervene earlier than histologic changes, and that BE is an early intermediate stage in the process of EAC."}
{"STANDARD_NAME":"KERLEY_RESPONSE_TO_CISPLATIN_DN","SYSTEMATIC_NAME":"M17702","ORGANISM":"Homo sapiens","PMID":"15940259","AUTHORS":"Kerley-Hamilton JS,Pike AM,Li N,DiRenzo J,Spinella MJ","EXACT_SOURCE":"Table 1: fold change < 0","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes genes down-regulated in NT2/D1 cells (embryonal carcinoma) in response to treatment with cisplatin [PubChem=2767].","DESCRIPTION_FULL":"Testicular germ cell cancers remain one of the few solid tumors routinely cured in advanced stages with conventional cisplatin-based chemotherapy. The mechanisms remain largely unknown. Through use of gene-expression array profiling we define immediate transcriptional targets in response to cisplatin in testicular germ cell-derived human embryonal carcinoma cells. We report 46 genes upregulated and five genes repressed by cisplatin. Several of these gene products, including FAS, TRAILR3, PHLDA3, LRDD, and IER3 are previously implicated in the apoptotic death receptor pathway, while others including SESN1, FDXR, PLK3, and DDIT4 are known mediators of reactive oxygen species generation. Approximately 54% of the upregulated genes are established or suspected downstream targets of p53. Specific siRNA to p53 prevents cisplatin-mediated activation of p53 and p53 pathway genes and renders embryonal carcinoma cells relatively resistant to cisplatin cytotoxicity. Interestingly, in p53 knockdown cells nearly the entire set of identified cisplatin targets fail to respond or have a diminished response to cisplatin, suggesting that many are new direct or indirect targets of p53 including GPR87, STK17A, INPP5D, FLJ11259, and EPS8L2. The data indicate that robust transcriptional activation of p53 is linked to the known hypersensitivity of testicular germ cell tumors to chemotherapy. Many of the gene products may participate in the unique curability of this disease."}
{"STANDARD_NAME":"WANG_BARRETTS_ESOPHAGUS_UP","SYSTEMATIC_NAME":"M6225","ORGANISM":"Homo sapiens","PMID":"16449976","AUTHORS":"Wang S,Zhan M,Yin J,Abraham JM,Mori Y,Sato F,Xu Y,Olaru A,Berki AT,Li H,Schulmann K,Kan T,Hamilton JP,Paun B,Yu MM,Jin Z,Cheng Y,Ito T,Mantzur C,Greenwald BD,Meltzer SJ","EXACT_SOURCE":"Table 1S: Fold change > 1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in Barrett's esophagus compared to the normal tissue.","DESCRIPTION_FULL":"To investigate the relationship between Barrett's esophagus (BE) and esophageal adenocarcinoma (EAC), we determined gene expression profiles of discrete pathological stages of esophageal neoplasia using a sequence-verified human cDNA microarray. Fifty one RNAs, comprising 24 normal esophagi (NE), 18 BEs, and nine EACs were hybridized to cDNA microarrays. Five statistical analyses were used for the data analysis. Genes showing significantly different expression levels among the three sample groups were identified. Genes were grouped into functional categories based on the Gene Ontology Consortium. Surprisingly, the expression pattern of BE was significantly more similar to EAC than to NE, notwithstanding the known histopathologic differences between BE and EAC. The pattern of NE was clearly distinct from that of EAC. Thirty-six genes were the most differentially modulated, according to these microarray data, in BE-associated neoplastic progression. Twelve genes were significantly differentially expressed in cancer-associated BE's plus EAC (as a single combined tissue group) vs noncancer-associated BE's. These genes represent potential biomarkers to diagnose EAC at its early stages. Our results demonstrate that molecular events at the transcriptional level in BE are remarkably similar to BE's-associated adenocarcinoma of the esophagus. This finding alarmingly implies that BE is biologically closer to cancer than to normal esophagus, and that the cancer risk of BE is perhaps higher than we had imagined. These findings suggest that changes modulated at the molecular biologic level supervene earlier than histologic changes, and that BE is an early intermediate stage in the process of EAC."}
{"STANDARD_NAME":"WANG_BARRETTS_ESOPHAGUS_DN","SYSTEMATIC_NAME":"M18213","ORGANISM":"Homo sapiens","PMID":"16449976","AUTHORS":"Wang S,Zhan M,Yin J,Abraham JM,Mori Y,Sato F,Xu Y,Olaru A,Berki AT,Li H,Schulmann K,Kan T,Hamilton JP,Paun B,Yu MM,Jin Z,Cheng Y,Ito T,Mantzur C,Greenwald BD,Meltzer SJ","EXACT_SOURCE":"Table 1S: Fold change < 1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in Barrett's esophagus compared to the normal tissue.","DESCRIPTION_FULL":"To investigate the relationship between Barrett's esophagus (BE) and esophageal adenocarcinoma (EAC), we determined gene expression profiles of discrete pathological stages of esophageal neoplasia using a sequence-verified human cDNA microarray. Fifty one RNAs, comprising 24 normal esophagi (NE), 18 BEs, and nine EACs were hybridized to cDNA microarrays. Five statistical analyses were used for the data analysis. Genes showing significantly different expression levels among the three sample groups were identified. Genes were grouped into functional categories based on the Gene Ontology Consortium. Surprisingly, the expression pattern of BE was significantly more similar to EAC than to NE, notwithstanding the known histopathologic differences between BE and EAC. The pattern of NE was clearly distinct from that of EAC. Thirty-six genes were the most differentially modulated, according to these microarray data, in BE-associated neoplastic progression. Twelve genes were significantly differentially expressed in cancer-associated BE's plus EAC (as a single combined tissue group) vs noncancer-associated BE's. These genes represent potential biomarkers to diagnose EAC at its early stages. Our results demonstrate that molecular events at the transcriptional level in BE are remarkably similar to BE's-associated adenocarcinoma of the esophagus. This finding alarmingly implies that BE is biologically closer to cancer than to normal esophagus, and that the cancer risk of BE is perhaps higher than we had imagined. These findings suggest that changes modulated at the molecular biologic level supervene earlier than histologic changes, and that BE is an early intermediate stage in the process of EAC."}
{"STANDARD_NAME":"WANG_ESOPHAGUS_CANCER_VS_NORMAL_DN","SYSTEMATIC_NAME":"M12212","ORGANISM":"Homo sapiens","PMID":"16449976","AUTHORS":"Wang S,Zhan M,Yin J,Abraham JM,Mori Y,Sato F,Xu Y,Olaru A,Berki AT,Li H,Schulmann K,Kan T,Hamilton JP,Paun B,Yu MM,Jin Z,Cheng Y,Ito T,Mantzur C,Greenwald BD,Meltzer SJ","EXACT_SOURCE":"Table 2S: Fold change < 1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated genes specific to esophageal adenocarcinoma (EAC) relative to normal tissue.","DESCRIPTION_FULL":"To investigate the relationship between Barrett's esophagus (BE) and esophageal adenocarcinoma (EAC), we determined gene expression profiles of discrete pathological stages of esophageal neoplasia using a sequence-verified human cDNA microarray. Fifty one RNAs, comprising 24 normal esophagi (NE), 18 BEs, and nine EACs were hybridized to cDNA microarrays. Five statistical analyses were used for the data analysis. Genes showing significantly different expression levels among the three sample groups were identified. Genes were grouped into functional categories based on the Gene Ontology Consortium. Surprisingly, the expression pattern of BE was significantly more similar to EAC than to NE, notwithstanding the known histopathologic differences between BE and EAC. The pattern of NE was clearly distinct from that of EAC. Thirty-six genes were the most differentially modulated, according to these microarray data, in BE-associated neoplastic progression. Twelve genes were significantly differentially expressed in cancer-associated BE's plus EAC (as a single combined tissue group) vs noncancer-associated BE's. These genes represent potential biomarkers to diagnose EAC at its early stages. Our results demonstrate that molecular events at the transcriptional level in BE are remarkably similar to BE's-associated adenocarcinoma of the esophagus. This finding alarmingly implies that BE is biologically closer to cancer than to normal esophagus, and that the cancer risk of BE is perhaps higher than we had imagined. These findings suggest that changes modulated at the molecular biologic level supervene earlier than histologic changes, and that BE is an early intermediate stage in the process of EAC."}
{"STANDARD_NAME":"WANG_ESOPHAGUS_CANCER_PROGRESSION_UP","SYSTEMATIC_NAME":"M19661","ORGANISM":"Homo sapiens","PMID":"16449976","AUTHORS":"Wang S,Zhan M,Yin J,Abraham JM,Mori Y,Sato F,Xu Y,Olaru A,Berki AT,Li H,Schulmann K,Kan T,Hamilton JP,Paun B,Yu MM,Jin Z,Cheng Y,Ito T,Mantzur C,Greenwald BD,Meltzer SJ","EXACT_SOURCE":"Table 3: Fold change > 1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Candidate progression biomarkers up-regulated in transition from non-tumor-risk associated to tumor-risk associated Barrett's esophagus and then to esophageal adenocarcinoma (EAC).","DESCRIPTION_FULL":"To investigate the relationship between Barrett's esophagus (BE) and esophageal adenocarcinoma (EAC), we determined gene expression profiles of discrete pathological stages of esophageal neoplasia using a sequence-verified human cDNA microarray. Fifty one RNAs, comprising 24 normal esophagi (NE), 18 BEs, and nine EACs were hybridized to cDNA microarrays. Five statistical analyses were used for the data analysis. Genes showing significantly different expression levels among the three sample groups were identified. Genes were grouped into functional categories based on the Gene Ontology Consortium. Surprisingly, the expression pattern of BE was significantly more similar to EAC than to NE, notwithstanding the known histopathologic differences between BE and EAC. The pattern of NE was clearly distinct from that of EAC. Thirty-six genes were the most differentially modulated, according to these microarray data, in BE-associated neoplastic progression. Twelve genes were significantly differentially expressed in cancer-associated BE's plus EAC (as a single combined tissue group) vs noncancer-associated BE's. These genes represent potential biomarkers to diagnose EAC at its early stages. Our results demonstrate that molecular events at the transcriptional level in BE are remarkably similar to BE's-associated adenocarcinoma of the esophagus. This finding alarmingly implies that BE is biologically closer to cancer than to normal esophagus, and that the cancer risk of BE is perhaps higher than we had imagined. These findings suggest that changes modulated at the molecular biologic level supervene earlier than histologic changes, and that BE is an early intermediate stage in the process of EAC."}
{"STANDARD_NAME":"SILIGAN_TARGETS_OF_EWS_FLI1_FUSION_UP","SYSTEMATIC_NAME":"M9251","ORGANISM":"Homo sapiens","PMID":"15735734","AUTHORS":"Siligan C,Ban J,Bachmaier R,Spahn L,Kreppel M,Schaefer KL,Poremba C,Aryee DN,Kovar H","EXACT_SOURCE":"Table 1B","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes bound by EWSR1-FLT1 [GeneID=2130;2321] fusion and up-regulated in STA-ET-7.2 cells (Ewing's sarcoma) after knockdown of EWSR1-FLT1 by RNAi.","DESCRIPTION_FULL":"In all, 85% of Ewing's sarcoma family tumors (ESFT), a neoplasm of unknown histogenesis, express EWS-FLI1 transcription factor gene fusions. To characterize direct target genes avoiding artificial model systems, we cloned genomic DNA from ESFT chromatin precipitating with EWS-FLI1. We now present a comprehensive list of 99 putative transcription factor targets identified, for the first time, by a hypothesis-free approach based on physical interaction. Gene-derived chromatin fragments co-precipitating with EWS-FLI1 were nonrandomly distributed over the human genome and localized predominantly to the upstream region and the first two introns of the genes. At least 20% of putative direct EWS-FLI1 targets were neural genes. One-third of genes recovered showed a significant ESFT-specific expression pattern and were found to be altered upon RNAi-mediated knockdown of EWS-FLI1. Among them, MK-STYX, encoding a MAP kinase phosphatase-like protein, was consistently expressed in ESFT. EWS-FLI1 was found to drive MK-STYX expression by binding to a single ETS binding motif within the first gene intron. MK-STYX serves as precedence for successful recovery of direct EWS-FLI1 targets from the authentic ESFT cellular context, the most relevant system to study oncogenic mechanisms for the discovery of new therapeutic targets in this disease."}
{"STANDARD_NAME":"SILIGAN_TARGETS_OF_EWS_FLI1_FUSION_DN","SYSTEMATIC_NAME":"M16533","ORGANISM":"Homo sapiens","PMID":"15735734","AUTHORS":"Siligan C,Ban J,Bachmaier R,Spahn L,Kreppel M,Schaefer KL,Poremba C,Aryee DN,Kovar H","EXACT_SOURCE":"Table 1A","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes bound by EWSR1-FLT1 [GeneID=2130;2321] fusion and down-regulated in STA-ET-7.2 cells (Ewing's sarcoma) after knockdown of EWSR1-FLT1 by RNAi.","DESCRIPTION_FULL":"In all, 85% of Ewing's sarcoma family tumors (ESFT), a neoplasm of unknown histogenesis, express EWS-FLI1 transcription factor gene fusions. To characterize direct target genes avoiding artificial model systems, we cloned genomic DNA from ESFT chromatin precipitating with EWS-FLI1. We now present a comprehensive list of 99 putative transcription factor targets identified, for the first time, by a hypothesis-free approach based on physical interaction. Gene-derived chromatin fragments co-precipitating with EWS-FLI1 were nonrandomly distributed over the human genome and localized predominantly to the upstream region and the first two introns of the genes. At least 20% of putative direct EWS-FLI1 targets were neural genes. One-third of genes recovered showed a significant ESFT-specific expression pattern and were found to be altered upon RNAi-mediated knockdown of EWS-FLI1. Among them, MK-STYX, encoding a MAP kinase phosphatase-like protein, was consistently expressed in ESFT. EWS-FLI1 was found to drive MK-STYX expression by binding to a single ETS binding motif within the first gene intron. MK-STYX serves as precedence for successful recovery of direct EWS-FLI1 targets from the authentic ESFT cellular context, the most relevant system to study oncogenic mechanisms for the discovery of new therapeutic targets in this disease."}
{"STANDARD_NAME":"ROYLANCE_BREAST_CANCER_16Q_COPY_NUMBER_UP","SYSTEMATIC_NAME":"M18394","ORGANISM":"Homo sapiens","PMID":"16702952","AUTHORS":"Roylance R,Gorman P,Papior T,Wan YL,Ives M,Watson JE,Collins C,Wortham N,Langford C,Fiegler H,Carter N,Gillett C,Sasieni P,Pinder S,Hanby A,Tomlinson I","EXACT_SOURCE":"Table 2","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes in discrete regions of gain within 16q region detected in individual invasive breast cancer tumors.","DESCRIPTION_FULL":"We analysed chromosome 16q in 106 breast cancers using tiling-path array-comparative genomic hybridization (aCGH). About 80% of ductal cancers (IDCs) and all lobular cancers (ILCs) lost at least part of 16q. Grade I (GI) IDCs and ILCs often lost the whole chromosome arm. Grade II (GII) and grade III (GIII) IDCs showed less frequent whole-arm loss, but often had complex changes, typically small regions of gain together with larger regions of loss. The boundaries of gains/losses tended to cluster, common sites being 54.5-55.5 Mb and 57.4-58.8 Mb. Overall, the peak frequency of loss (83% cancers) occurred at 61.9-62.9 Mb. We also found several 'minimal' regions of loss/gain. However, no mutations in candidate genes (TRADD, CDH5, CDH8 and CDH11) were detected. Cluster analysis based on copy number changes identified a large group of cancers that had lost most of 16q, and two smaller groups (one with few changes, one with a tendency to show copy number gain). Although all morphological types occurred in each cluster group, IDCs (especially GII/GIII) were relatively overrepresented in the smaller groups. Cluster groups were not independently associated with survival. Use of tiling-path aCGH prompted re-evaluation of the hypothetical pathways of breast carcinogenesis. ILCs have the simplest changes on 16q and probably diverge from the IDC lineage close to the stage of 16q loss. Higher-grade IDCs probably develop from low-grade lesions in most cases, but there remains evidence that some GII/GIII IDCs arise without a GI precursor."}
{"STANDARD_NAME":"ROYLANCE_BREAST_CANCER_16Q_COPY_NUMBER_DN","SYSTEMATIC_NAME":"M8224","ORGANISM":"Homo sapiens","PMID":"16702952","AUTHORS":"Roylance R,Gorman P,Papior T,Wan YL,Ives M,Watson JE,Collins C,Wortham N,Langford C,Fiegler H,Carter N,Gillett C,Sasieni P,Pinder S,Hanby A,Tomlinson I","EXACT_SOURCE":"Table 2","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes in discrete regions of loss within 16q region detected in individual invasive breast cancer tumors.","DESCRIPTION_FULL":"We analysed chromosome 16q in 106 breast cancers using tiling-path array-comparative genomic hybridization (aCGH). About 80% of ductal cancers (IDCs) and all lobular cancers (ILCs) lost at least part of 16q. Grade I (GI) IDCs and ILCs often lost the whole chromosome arm. Grade II (GII) and grade III (GIII) IDCs showed less frequent whole-arm loss, but often had complex changes, typically small regions of gain together with larger regions of loss. The boundaries of gains/losses tended to cluster, common sites being 54.5-55.5 Mb and 57.4-58.8 Mb. Overall, the peak frequency of loss (83% cancers) occurred at 61.9-62.9 Mb. We also found several 'minimal' regions of loss/gain. However, no mutations in candidate genes (TRADD, CDH5, CDH8 and CDH11) were detected. Cluster analysis based on copy number changes identified a large group of cancers that had lost most of 16q, and two smaller groups (one with few changes, one with a tendency to show copy number gain). Although all morphological types occurred in each cluster group, IDCs (especially GII/GIII) were relatively overrepresented in the smaller groups. Cluster groups were not independently associated with survival. Use of tiling-path aCGH prompted re-evaluation of the hypothetical pathways of breast carcinogenesis. ILCs have the simplest changes on 16q and probably diverge from the IDC lineage close to the stage of 16q loss. Higher-grade IDCs probably develop from low-grade lesions in most cases, but there remains evidence that some GII/GIII IDCs arise without a GI precursor."}
{"STANDARD_NAME":"JOHANSSON_GLIOMAGENESIS_BY_PDGFB_DN","SYSTEMATIC_NAME":"M1121","ORGANISM":"Mus musculus","PMID":"15750623","AUTHORS":"Johansson FK,Göransson H,Westermark B","EXACT_SOURCE":"Table 1S","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in brain tumors induced by retroviral delivery of PDGFB [GeneID=5155].","DESCRIPTION_FULL":"Retroviral tagging previously identified putative cancer-causing genes in a mouse brain tumor model where a recombinant Moloney murine leukemia virus encoding the platelet-derived growth factor B-chain (MMLV/PDGFB) was intracerebrally injected in newborn mice. In the present study, expression analysis using cDNA arrays revealed several similarities of virus-induced mouse gliomas with human brain tumors. Brain tumors with short latency contained on average 8.0 retroviral insertions and resembled human glioblastoma multiforme (GBM) whereas long-latency gliomas were of lower grade, similar to human oligodendroglioma (OD) and had 2.3 insertions per tumor. Several known and novel genes of tumor progression or cell markers were differentially expressed between OD- and GBM-like tumors. Array and quantitative real-time PCR analysis demonstrated elevated expression similar to Pdgfralpha of retrovirally tagged genes Abhd2, Ddr1, Fos, Ng2, Ppfibp1, Rad51b and Sulf2 in both glioma types compared to neonatal and adult normal brain. The retrovirally tagged genes Plekhb1, Prex1, Prkg2, Sox10 and 1200004M23Rik were upregulated in the tumors but had a different expression profile than Pdgfralpha whereas Rap1gap, Gli1, Neurl and Camk2b were downregulated in the tumors. The present study accentuates the proposed role of the retrovirally tagged genes in PDGF-driven gliomagenesis and indicates that insertional mutagenesis can promote glioma progression."}
{"STANDARD_NAME":"MCBRYAN_PUBERTAL_BREAST_3_4WK_DN","SYSTEMATIC_NAME":"M8155","ORGANISM":"Mus musculus","PMID":"17486082","AUTHORS":"McBryan J,Howlin J,Kenny PA,Shioda T,Martin F","GEOID":"GSE6453","EXACT_SOURCE":"Table 1S: week 3 to 4 = D","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated during pubertal mammary gland development between weeks 3 and 4.","DESCRIPTION_FULL":"Expression microarray analysis identified over 930 genes regulated during puberty in the mouse mammary gland. Most prominent were genes whose expression increased in parallel with pubertal development and remained high thereafter. Members of the Wnt, transforming growth factor-beta and oestrogen-signalling pathways were significantly overrepresented. Comparison to expression data from CITED1 knockout mice identified a subset of oestrogen-responsive genes displaying altered expression in the absence of CITED1. Included in this subset are stanniocalcin2 (Stc2) and amphiregulin (Areg). Chromatin immunoprecipitation revealed that ERalpha binds to oestrogen response elements in both the Stc2 and Areg genes in the mammary gland during puberty. Additionally, CITED1 and ERalpha localize to the same epithelial cells of the pubertal mammary gland, supporting a role for interaction of these two proteins during normal development. In a human breast cancer data set, expression of Stc2, Areg and CITED1 parallel that of ERalpha. Similar to ERalpha, CITED1 expression correlates with good outcome in breast cancer, implying that potential maintenance of the ERalpha-CITED1 co-regulated signalling pathway in breast tumours can indicate good prognosis."}
{"STANDARD_NAME":"VETTER_TARGETS_OF_PRKCA_AND_ETS1_UP","SYSTEMATIC_NAME":"M14495","ORGANISM":"Homo sapiens","PMID":"15531915","AUTHORS":"Vetter M,Blumenthal SG,Lindemann RK,Manns J,Wesselborg S,Thomssen C,Dittmer J","EXACT_SOURCE":"Table 1: log2 (fold induction) > 0","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in MDA-MB-231 cells (breast cancer) after knockdown of PRKCA and ETS1 [GeneID=5578;2113] by RNAi.","DESCRIPTION_FULL":"PKCalpha and Ets1 are both associated with breast cancer progression. Our previous studies suggested that these proteins are likely to functionally interact with one another. Here, we show that attenuation of endogenous PKCalpha expression (siPalpha) by RNA interference leads to reduced Ets1 protein expression in a variety of cancer cells. Pulse-chase experiments and treatment with proteasome inhibitor MG-132 revealed that siPalpha interferes with both Ets1 protein synthesis and stability. The effect of siPalpha on Ets1 expression could be partially prevented by KN-93, suggesting that calcium/calmodulin-dependent kinase II (CaMKII), a modulator of Ets1 activity, may play a role in PKCalpha-dependent Ets1 regulation. In contrast, Ets1-regulating kinases ERK1/2 were not found to be involved in this process. To assess the importance of the PKCalpha/Ets1 interaction, we compared the biological responses of MDA-MB-231 cells to PKCalpha- and Ets1-specific siRNAs (siE1). While only siPalpha induced changes in cellular morphology and anchorage-independent growth, both siRNAs similarly affected cellular responses to the antitumor drug mithramycin A and to UV light. Microarray analyses further showed that the expression of a certain set of genes was equally affected by siPalpha and siE1. The data suggest that Ets1 serves as an effector for PKCalpha to fulfil certain functions in cancer cells."}
{"STANDARD_NAME":"DUNNE_TARGETS_OF_AML1_MTG8_FUSION_UP","SYSTEMATIC_NAME":"M2546","ORGANISM":"Homo sapiens","PMID":"16652140","AUTHORS":"Dunne J,Cullmann C,Ritter M,Soria NM,Drescher B,Debernardi S,Skoulakis S,Hartmann O,Krause M,Krauter J,Neubauer A,Young BD,Heidenreich O","GEOID":"GSE2049","EXACT_SOURCE":"Table 1-2: siAGF1/siAGF6 > 1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in Kasumi-1 cells (acute myeloid leukaemia (AML) with the t(8;21) translocation) after knockdown of the AML1 MTG8 fusion [GeneID=861;862] by RNAi.","DESCRIPTION_FULL":"The chromosomal translocation t(8;21) is associated with 10-15% of all cases of acute myeloid leukaemia (AML). The resultant fusion protein AML1/MTG8 interferes with haematopoietic gene expression and is an important regulator of leukaemogenesis. We studied the effects of small interfering RNA (siRNA)-mediated AML1/MTG8 depletion on global gene expression in t(8;21)-positive leukaemic cell lines and in primary AML blasts using cDNA arrays, oligonucleotide arrays and real-time reverse transcription-polymerase chain reaction (RT-PCR). Suppression of AML1/MTG8 results in the increased expression of genes associated with myeloid differentiation, such as AZU1, BPI, CTSG, LYZ and RNASE2 as well as of antiproliferative genes such as IGFBP7, MS4A3 and SLA both in blasts and in cell lines. Furthermore, expression levels of several genes affiliated with drug resistance or indicative of poor prognosis AML (BAALC, CD34, PRG2, TSPAN7) are affected by AML1/MTG8 depletion. In conclusion, siRNA-mediated suppression of AML1/MTG8 cause very similar changes in gene expression pattern in t(8;21)-positive cell lines and in primary AML blasts. Furthermore, the results suggest that the specific targeting of AML1/MTG8 function may be a promising approach for complementing existing treatment strategies."}
{"STANDARD_NAME":"DUNNE_TARGETS_OF_AML1_MTG8_FUSION_DN","SYSTEMATIC_NAME":"M6469","ORGANISM":"Homo sapiens","PMID":"16652140","AUTHORS":"Dunne J,Cullmann C,Ritter M,Soria NM,Drescher B,Debernardi S,Skoulakis S,Hartmann O,Krause M,Krauter J,Neubauer A,Young BD,Heidenreich O","GEOID":"GSE2049","EXACT_SOURCE":"Table 1-2: siAGF1/siAGF6 < 1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in Kasumi-1 cells (acute myeloid leukaemia (AML) with the t(8;21) translocation) after knockdown of the AML1 MTG8 fusion [GeneID=861;862] by RNAi.","DESCRIPTION_FULL":"The chromosomal translocation t(8;21) is associated with 10-15% of all cases of acute myeloid leukaemia (AML). The resultant fusion protein AML1/MTG8 interferes with haematopoietic gene expression and is an important regulator of leukaemogenesis. We studied the effects of small interfering RNA (siRNA)-mediated AML1/MTG8 depletion on global gene expression in t(8;21)-positive leukaemic cell lines and in primary AML blasts using cDNA arrays, oligonucleotide arrays and real-time reverse transcription-polymerase chain reaction (RT-PCR). Suppression of AML1/MTG8 results in the increased expression of genes associated with myeloid differentiation, such as AZU1, BPI, CTSG, LYZ and RNASE2 as well as of antiproliferative genes such as IGFBP7, MS4A3 and SLA both in blasts and in cell lines. Furthermore, expression levels of several genes affiliated with drug resistance or indicative of poor prognosis AML (BAALC, CD34, PRG2, TSPAN7) are affected by AML1/MTG8 depletion. In conclusion, siRNA-mediated suppression of AML1/MTG8 cause very similar changes in gene expression pattern in t(8;21)-positive cell lines and in primary AML blasts. Furthermore, the results suggest that the specific targeting of AML1/MTG8 function may be a promising approach for complementing existing treatment strategies."}
{"STANDARD_NAME":"LUI_THYROID_CANCER_PAX8_PPARG_UP","SYSTEMATIC_NAME":"M4381","ORGANISM":"Homo sapiens","PMID":"15608688","AUTHORS":"Lui WO,Foukakis T,Lidén J,Thoppe SR,Dwight T,Höög A,Zedenius J,Wallin G,Reimers M,Larsson C","EXACT_SOURCE":"Figure 3: red in PAX8-PPARg(+)","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top up-regulated genes distinguishing between follicular thyroid carcinoma (FTC) samples by the presence or absence of the PAX8-PPARG [GeneID=7849;5468] fusion protein.","DESCRIPTION_FULL":"The demonstration of the PAX8-PPAR(gamma) fusion oncogene in a subset of follicular thyroid tumors provides a new and promising starting point to dissect the molecular genetic events involved in the development of this tumor form. In the present study, we compared the gene expression profiles of follicular thyroid carcinomas (FTCs) bearing a PAX8-PPAR(gamma) fusion against FTCs that lack this fusion. Using unsupervised clustering and multidimensional scaling analyses, we show that FTCs possessing a PAX8-PPAR(gamma) fusion have a highly uniform and distinct gene expression signature that clearly distinguishes them from FTCs without the fusion. The PAX8-PPAR(gamma)(+) FTCs grouped in a defined cluster, where highly ranked genes were mostly associated with signal transduction, cell growth and translation control. Notably, a large number of ribosomal protein and translation-associated genes were concurrently underexpressed in the FTCs with the fusion. Taken together, our findings further support that follicular carcinomas with a PAX8-PPAR(gamma) rearrangement constitute a distinct biological entity. The current data represent one step to elucidate the molecular pathways in the development of FTCs with the specific PAX8-PPAR(gamma) fusion."}
{"STANDARD_NAME":"OUELLET_CULTURED_OVARIAN_CANCER_INVASIVE_VS_LMP_UP","SYSTEMATIC_NAME":"M836","ORGANISM":"Homo sapiens","PMID":"15940270","AUTHORS":"Ouellet V,Provencher DM,Maugard CM,Le Page C,Ren F,Lussier C,Novak J,Ge B,Hudson TJ,Tonin PN,Mes-Masson AM","EXACT_SOURCE":"Table 9S: Pgc < 0","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in pirmary cultures of epithelial ovarian cancer (EOC): invasive (TOV) vs low malignant potential (LMP) tumors.","DESCRIPTION_FULL":"Tumors of low malignant potential (LMP) represent 20% of epithelial ovarian cancers (EOCs) and are associated with a better prognosis than the invasive tumors (TOV). Defining the relationship between LMPs and TOVs remains an important goal towards understanding the molecular pathways that contribute to prognosis, as well as providing molecular markers, for these EOCs. To this end, DNA microarray analyses were performed either in a primary culture or a tumor tissue model system and selected candidate genes showing a distinctive expression profile between LMPs and TOVs were identified using a class prediction approach based on three statistical methods of analysis. Both model systems appear relevant as candidate genes identified by either model allowed the proper reclassification of samples as either LMPs or TOVs. Selected candidate genes (CAS, CCNE1, LGALS8, ITGbeta3, ATP1B1, FLIP, KRT7 and KRT19) were validated by real-time quantitative PCR analysis and show differential expression between LMPs and TOVs. Immunohistochemistry analyses showed that the two tumor classes were distinguishable by their expression of CAS, TNFR1A, FLIP, CKS1 and CCNE1. These results define signature patterns for gene expression of LMPs and TOVs and identify gene candidates that warrant further study to deepen our understanding of the biology of EOC."}
{"STANDARD_NAME":"OUELLET_CULTURED_OVARIAN_CANCER_INVASIVE_VS_LMP_DN","SYSTEMATIC_NAME":"M13220","ORGANISM":"Homo sapiens","PMID":"15940270","AUTHORS":"Ouellet V,Provencher DM,Maugard CM,Le Page C,Ren F,Lussier C,Novak J,Ge B,Hudson TJ,Tonin PN,Mes-Masson AM","EXACT_SOURCE":"Table 9S: Pgc > 0","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in pirmary cultures of epithelial ovarian cancer (EOC): invasive (TOV) vs low malignant potential (LMP) tumors.","DESCRIPTION_FULL":"Tumors of low malignant potential (LMP) represent 20% of epithelial ovarian cancers (EOCs) and are associated with a better prognosis than the invasive tumors (TOV). Defining the relationship between LMPs and TOVs remains an important goal towards understanding the molecular pathways that contribute to prognosis, as well as providing molecular markers, for these EOCs. To this end, DNA microarray analyses were performed either in a primary culture or a tumor tissue model system and selected candidate genes showing a distinctive expression profile between LMPs and TOVs were identified using a class prediction approach based on three statistical methods of analysis. Both model systems appear relevant as candidate genes identified by either model allowed the proper reclassification of samples as either LMPs or TOVs. Selected candidate genes (CAS, CCNE1, LGALS8, ITGbeta3, ATP1B1, FLIP, KRT7 and KRT19) were validated by real-time quantitative PCR analysis and show differential expression between LMPs and TOVs. Immunohistochemistry analyses showed that the two tumor classes were distinguishable by their expression of CAS, TNFR1A, FLIP, CKS1 and CCNE1. These results define signature patterns for gene expression of LMPs and TOVs and identify gene candidates that warrant further study to deepen our understanding of the biology of EOC."}
{"STANDARD_NAME":"HUMMERICH_BENIGN_SKIN_TUMOR_UP","SYSTEMATIC_NAME":"M1122","ORGANISM":"Mus musculus","PMID":"16247483","AUTHORS":"Hummerich L,Müller R,Hess J,Kokocinski F,Hahn M,Fürstenberger G,Mauch C,Lichter P,Angel P","EXACT_SOURCE":"Table 1a: Co. vs PAP > 0","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in benign skin tumors (papilloma) induced by treatment with DMBA and TPA [PubChem=6001;4792] chemicals in the two stage skin carcinogenesis model.","DESCRIPTION_FULL":"Chemically induced mouse skin carcinogenesis represents the most extensively utilized animal model to unravel the multistage nature of tumour development and to design novel therapeutic concepts of human epithelial neoplasia. We combined this tumour model with comprehensive gene expression analysis and could identify a large set of novel tumour-associated genes that have not been associated with epithelial skin cancer development yet. Expression data of selected genes were confirmed by semiquantitative and quantitative RT-PCR as well as in situ hybridization and immunofluorescence analysis on mouse tumour sections. Enhanced expression of genes identified in our screen was also demonstrated in mouse keratinocyte cell lines that form tumours in vivo. Self-organizing map clustering was performed to identify different kinetics of gene expression and coregulation during skin cancer progression. Detailed analysis of differential expressed genes according to their functional annotation confirmed the involvement of several biological processes, such as regulation of cell cycle, apoptosis, extracellular proteolysis and cell adhesion, during skin malignancy. Finally, we detected high transcript levels of ANXA1, LCN2 and S100A8 as well as reduced levels for NDR2 protein in human skin tumour specimens demonstrating that tumour-associated genes identified in the chemically induced tumour model might be of great relevance for the understanding of human epithelial malignancies as well."}
{"STANDARD_NAME":"HUMMERICH_MALIGNANT_SKIN_TUMOR_UP","SYSTEMATIC_NAME":"M1126","ORGANISM":"Mus musculus","PMID":"16247483","AUTHORS":"Hummerich L,Müller R,Hess J,Kokocinski F,Hahn M,Fürstenberger G,Mauch C,Lichter P,Angel P","EXACT_SOURCE":"Table 1b: Co. vs SCC > 0","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in malignant skin tumors (squamous cell carcinoma, SCC) formed by treatment with DMBA and TPA [PubChem=6001;4792] in the two stage skin carcinogenesis model.","DESCRIPTION_FULL":"Chemically induced mouse skin carcinogenesis represents the most extensively utilized animal model to unravel the multistage nature of tumour development and to design novel therapeutic concepts of human epithelial neoplasia. We combined this tumour model with comprehensive gene expression analysis and could identify a large set of novel tumour-associated genes that have not been associated with epithelial skin cancer development yet. Expression data of selected genes were confirmed by semiquantitative and quantitative RT-PCR as well as in situ hybridization and immunofluorescence analysis on mouse tumour sections. Enhanced expression of genes identified in our screen was also demonstrated in mouse keratinocyte cell lines that form tumours in vivo. Self-organizing map clustering was performed to identify different kinetics of gene expression and coregulation during skin cancer progression. Detailed analysis of differential expressed genes according to their functional annotation confirmed the involvement of several biological processes, such as regulation of cell cycle, apoptosis, extracellular proteolysis and cell adhesion, during skin malignancy. Finally, we detected high transcript levels of ANXA1, LCN2 and S100A8 as well as reduced levels for NDR2 protein in human skin tumour specimens demonstrating that tumour-associated genes identified in the chemically induced tumour model might be of great relevance for the understanding of human epithelial malignancies as well."}
{"STANDARD_NAME":"LUCAS_HNF4A_TARGETS_UP","SYSTEMATIC_NAME":"M11410","ORGANISM":"Homo sapiens","PMID":"16007190","AUTHORS":"Lucas B,Grigo K,Erdmann S,Lausen J,Klein-Hitpass L,Ryffel GU","GEOID":"GSE2700","EXACT_SOURCE":"Table 1: fold change > 1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in Tet-On HEK293 cells (embryonic kidney) by expression of HNF4A [GeneID=3172].","DESCRIPTION_FULL":"Hepatocyte nuclear factor 4alpha (HNF4alpha) is a tissue-specific transcription factor known to regulate a large number of genes in hepatocytes and pancreatic beta cells. Although HNF4alpha is highly expressed in some sections of the kidney, little is known about its role in this organ and about HNF4alpha-regulated genes in the kidney cells. The abundance and activity of HNF4alpha are frequently reduced in renal cell carcinoma (RCC) indicating some tumor suppressing function of HNF4alpha in renal cells. To determine the potential role of HNF4alpha in RCC, we used Flp recombinase-mediated gene integration to generate human embryonic kidney cells (HEK293) that conditionally express wild-type or mutated HNF4alpha. Expression of wild-type HNF4alpha but not of the mutants led to reduction of proliferation and alterations of cell morphology. These effects were reversible and induced at physiological concentrations of HNF4alpha. Using gene expression profiling by microarrays, we determined genes regulated by HNF4alpha. Interestingly, many of the genes regulated by HNF4alpha have been shown to be deregulated in RCC microarray studies. These genes (ACY1, WT1, SELENBP1, COBL, EFHD1, AGXT2L1, ALDH5A1, THEM2, ABCB1, FLJ14146, CSPG2, TRIM9 and HEY1) are good candidates for genes whose activity is changed upon the decrease of HNF4alpha in RCC."}
{"STANDARD_NAME":"LUCAS_HNF4A_TARGETS_DN","SYSTEMATIC_NAME":"M10457","ORGANISM":"Homo sapiens","PMID":"16007190","AUTHORS":"Lucas B,Grigo K,Erdmann S,Lausen J,Klein-Hitpass L,Ryffel GU","GEOID":"GSE2700","EXACT_SOURCE":"Table 1: fold change < 1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in Tet-On HEK293 cells (embryonic kidney) by expression of HNF4A [GeneID=3172].","DESCRIPTION_FULL":"Hepatocyte nuclear factor 4alpha (HNF4alpha) is a tissue-specific transcription factor known to regulate a large number of genes in hepatocytes and pancreatic beta cells. Although HNF4alpha is highly expressed in some sections of the kidney, little is known about its role in this organ and about HNF4alpha-regulated genes in the kidney cells. The abundance and activity of HNF4alpha are frequently reduced in renal cell carcinoma (RCC) indicating some tumor suppressing function of HNF4alpha in renal cells. To determine the potential role of HNF4alpha in RCC, we used Flp recombinase-mediated gene integration to generate human embryonic kidney cells (HEK293) that conditionally express wild-type or mutated HNF4alpha. Expression of wild-type HNF4alpha but not of the mutants led to reduction of proliferation and alterations of cell morphology. These effects were reversible and induced at physiological concentrations of HNF4alpha. Using gene expression profiling by microarrays, we determined genes regulated by HNF4alpha. Interestingly, many of the genes regulated by HNF4alpha have been shown to be deregulated in RCC microarray studies. These genes (ACY1, WT1, SELENBP1, COBL, EFHD1, AGXT2L1, ALDH5A1, THEM2, ABCB1, FLJ14146, CSPG2, TRIM9 and HEY1) are good candidates for genes whose activity is changed upon the decrease of HNF4alpha in RCC."}
{"STANDARD_NAME":"ZIRN_TRETINOIN_RESPONSE_WT1_UP","SYSTEMATIC_NAME":"M17312","ORGANISM":"Homo sapiens","PMID":"15897880","AUTHORS":"Zirn B,Samans B,Spangenberg C,Graf N,Eilers M,Gessler M","EXACT_SOURCE":"Table 1: Fold change in MZ128 > 0","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in MZ128 cells (Wilms tumor with mutated WT1 [GeneID=7490]) after treatment with 10 microM tretinoin (ATRA) [PubChem=444795] for 24 h.","DESCRIPTION_FULL":"Wilms tumor is one of the most frequent neoplasias in children. Our previous microarray screening in a large series of Wilms tumors revealed several candidate genes that are deregulated in advanced tumors and are part of the retinoic acid signaling pathway. To investigate whether retinoic acid could be employed as a novel therapeutic agent in these tumors, we treated cultured Wilms tumor cells with different concentrations of all-trans retinoic acid (ATRA) and assessed gene expression changes by real-time RT-PCR as well as microarray analysis. Several genes like RARRES1, RARRES3, CTGF, CKS2, CCNA2, IGFBP3, UBE2C, CCL2 or ITM2B that were previously found to be deregulated in advanced tumors exhibited opposite expression changes after ATRA treatment. In addition to enhanced retinoid signaling, the transforming growth factor-beta (TGFbeta) pathway was strongly activated by ATRA treatment of Wilms tumor cells. Both the retinoic acid and the TGFbeta pathway mediate inhibition of cell growth. These findings represent the first molecular evidence of a potential benefit from ATRA treatment in Wilms tumors."}
{"STANDARD_NAME":"ZIRN_TRETINOIN_RESPONSE_WT1_DN","SYSTEMATIC_NAME":"M7641","ORGANISM":"Homo sapiens","PMID":"15897880","AUTHORS":"Zirn B,Samans B,Spangenberg C,Graf N,Eilers M,Gessler M","EXACT_SOURCE":"Table 1: Fold change in MZ128 < 0","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in MZ128 cells (Wilms tumor with mutated WT1 [GeneID=7490]) after treatment with 10 microM tretinoin (ATRA) [PubChem=444795] for 24 h.","DESCRIPTION_FULL":"Wilms tumor is one of the most frequent neoplasias in children. Our previous microarray screening in a large series of Wilms tumors revealed several candidate genes that are deregulated in advanced tumors and are part of the retinoic acid signaling pathway. To investigate whether retinoic acid could be employed as a novel therapeutic agent in these tumors, we treated cultured Wilms tumor cells with different concentrations of all-trans retinoic acid (ATRA) and assessed gene expression changes by real-time RT-PCR as well as microarray analysis. Several genes like RARRES1, RARRES3, CTGF, CKS2, CCNA2, IGFBP3, UBE2C, CCL2 or ITM2B that were previously found to be deregulated in advanced tumors exhibited opposite expression changes after ATRA treatment. In addition to enhanced retinoid signaling, the transforming growth factor-beta (TGFbeta) pathway was strongly activated by ATRA treatment of Wilms tumor cells. Both the retinoic acid and the TGFbeta pathway mediate inhibition of cell growth. These findings represent the first molecular evidence of a potential benefit from ATRA treatment in Wilms tumors."}
{"STANDARD_NAME":"ZIRN_TRETINOIN_RESPONSE_UP","SYSTEMATIC_NAME":"M581","ORGANISM":"Homo sapiens","PMID":"15897880","AUTHORS":"Zirn B,Samans B,Spangenberg C,Graf N,Eilers M,Gessler M","EXACT_SOURCE":"Table 1: Fold change in MS427 > 0","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in MS427 cells (Wilms tumor with normal WT1 [GeneID=7490]) after treatment with 10 microM tretinoin (ATRA) [PubChem=444795] for 24 h.","DESCRIPTION_FULL":"Wilms tumor is one of the most frequent neoplasias in children. Our previous microarray screening in a large series of Wilms tumors revealed several candidate genes that are deregulated in advanced tumors and are part of the retinoic acid signaling pathway. To investigate whether retinoic acid could be employed as a novel therapeutic agent in these tumors, we treated cultured Wilms tumor cells with different concentrations of all-trans retinoic acid (ATRA) and assessed gene expression changes by real-time RT-PCR as well as microarray analysis. Several genes like RARRES1, RARRES3, CTGF, CKS2, CCNA2, IGFBP3, UBE2C, CCL2 or ITM2B that were previously found to be deregulated in advanced tumors exhibited opposite expression changes after ATRA treatment. In addition to enhanced retinoid signaling, the transforming growth factor-beta (TGFbeta) pathway was strongly activated by ATRA treatment of Wilms tumor cells. Both the retinoic acid and the TGFbeta pathway mediate inhibition of cell growth. These findings represent the first molecular evidence of a potential benefit from ATRA treatment in Wilms tumors."}
{"STANDARD_NAME":"STREICHER_LSM1_TARGETS_UP","SYSTEMATIC_NAME":"M15031","ORGANISM":"Homo sapiens","PMID":"17001308","AUTHORS":"Streicher KL,Yang ZQ,Draghici S,Ethier SP","EXACT_SOURCE":"Fig 8B, 9","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in MCF10A cells (breast cancer) by expression of LSM1 [GeneID=27257] off a letiviral vector.","DESCRIPTION_FULL":"Amplification of the 8p11-12 region occurs in 15-20% of breast cancers, but the driving oncogene at this locus has yet to be definitively identified. We mapped the 8p11-12 amplicon in breast cancer cell lines and primary human breast cancers and identified the candidate oncogene human Sm-like protein (hLsm1, LSM1) based on increases in copy number and expression level relative to human mammary epithelial cells. To examine the oncogenic role of LSM1, we overexpressed this gene in MCF10A mammary epithelial cells and inhibited its production in the SUM44 breast cancer cell line, which has a natural amplification and overexpression of LSM1. Our data confirmed that LSM1 is an oncogene from the 8p11-12 amplicon by showing that hLsm1 overexpression induced growth factor-independent proliferation and soft agar colony formation in MCF10A cells, and hLsm1 inhibition in SUM44 cells dramatically reduced soft agar growth. Little is known about hLsm1 function other than its involvement in mRNA degradation; therefore, we used expression microarray analysis to investigate how hLsm1 affects cell transformation in MCF10A and SUM44 cells. We identified numerous genes altered following hLsm1 overexpression common to SUM44 breast cancer cells that play important roles in cell cycle regulation, cell proliferation and other cancer-promoting processes. Future work will continue to characterize these important changes to achieve a more complete understanding of the mechanism of hLsm1's effect on cancer progression."}
{"STANDARD_NAME":"STREICHER_LSM1_TARGETS_DN","SYSTEMATIC_NAME":"M8637","ORGANISM":"Homo sapiens","PMID":"17001308","AUTHORS":"Streicher KL,Yang ZQ,Draghici S,Ethier SP","EXACT_SOURCE":"Fig 8B, 9","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in MCF10A cells (breast cancer) by expression of LSM1 [GeneID=27257] off a letiviral vector.","DESCRIPTION_FULL":"Amplification of the 8p11-12 region occurs in 15-20% of breast cancers, but the driving oncogene at this locus has yet to be definitively identified. We mapped the 8p11-12 amplicon in breast cancer cell lines and primary human breast cancers and identified the candidate oncogene human Sm-like protein (hLsm1, LSM1) based on increases in copy number and expression level relative to human mammary epithelial cells. To examine the oncogenic role of LSM1, we overexpressed this gene in MCF10A mammary epithelial cells and inhibited its production in the SUM44 breast cancer cell line, which has a natural amplification and overexpression of LSM1. Our data confirmed that LSM1 is an oncogene from the 8p11-12 amplicon by showing that hLsm1 overexpression induced growth factor-independent proliferation and soft agar colony formation in MCF10A cells, and hLsm1 inhibition in SUM44 cells dramatically reduced soft agar growth. Little is known about hLsm1 function other than its involvement in mRNA degradation; therefore, we used expression microarray analysis to investigate how hLsm1 affects cell transformation in MCF10A and SUM44 cells. We identified numerous genes altered following hLsm1 overexpression common to SUM44 breast cancer cells that play important roles in cell cycle regulation, cell proliferation and other cancer-promoting processes. Future work will continue to characterize these important changes to achieve a more complete understanding of the mechanism of hLsm1's effect on cancer progression."}
{"STANDARD_NAME":"LANG_MYB_FAMILY_TARGETS","SYSTEMATIC_NAME":"M1128","ORGANISM":"Mus musculus","PMID":"15608679","AUTHORS":"Lang G,White JR,Argent-Katwala MJ,Allinson CG,Weston K","EXACT_SOURCE":"Table 1","CHIP":"Mouse_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Myb family target genes.","DESCRIPTION_FULL":"Hematopoiesis, the process by which mature blood cells arise, is controlled by multiple transcription factors, which act in stage- and lineage-specific complexes. It is a major goal to elucidate the genes regulated by these transcription factors, in order to obtain a full understanding of the process and its malignant counterpart, leukemia. Myb family transcription factors play a central role in hematopoiesis. To identify new Myb family target genes, we have used an inducible dominant-negative protein for a subtraction cloning protocol in a model cell system (FDCP-Mix) with many characteristics of normal hematopoiesis. We present here a novel group of 29 validated Myb family target genes of diverse functions."}
{"STANDARD_NAME":"MCBRYAN_TERMINAL_END_BUD_DN","SYSTEMATIC_NAME":"M1130","ORGANISM":"Mus musculus","PMID":"17486082","AUTHORS":"McBryan J,Howlin J,Kenny PA,Shioda T,Martin F","GEOID":"GSE6453","EXACT_SOURCE":"Fig 2B","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"The 'TEB profile genes': down-regulated during pubertal mammary gland development specifically in the TEB (terminal end bud) structures.","DESCRIPTION_FULL":"Expression microarray analysis identified over 930 genes regulated during puberty in the mouse mammary gland. Most prominent were genes whose expression increased in parallel with pubertal development and remained high thereafter. Members of the Wnt, transforming growth factor-beta and oestrogen-signalling pathways were significantly overrepresented. Comparison to expression data from CITED1 knockout mice identified a subset of oestrogen-responsive genes displaying altered expression in the absence of CITED1. Included in this subset are stanniocalcin2 (Stc2) and amphiregulin (Areg). Chromatin immunoprecipitation revealed that ERalpha binds to oestrogen response elements in both the Stc2 and Areg genes in the mammary gland during puberty. Additionally, CITED1 and ERalpha localize to the same epithelial cells of the pubertal mammary gland, supporting a role for interaction of these two proteins during normal development. In a human breast cancer data set, expression of Stc2, Areg and CITED1 parallel that of ERalpha. Similar to ERalpha, CITED1 expression correlates with good outcome in breast cancer, implying that potential maintenance of the ERalpha-CITED1 co-regulated signalling pathway in breast tumours can indicate good prognosis."}
{"STANDARD_NAME":"DARWICHE_SKIN_TUMOR_PROMOTER_UP","SYSTEMATIC_NAME":"M1131","ORGANISM":"Mus musculus","PMID":"17525749","AUTHORS":"Darwiche N,Ryscavage A,Perez-Lorenzo R,Wright L,Bae DS,Hennings H,Yuspa SH,Glick AB","GEOID":"GSE5576","EXACT_SOURCE":"Table 1S: Chronic TPA > 1","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated during skin tumor progression: epidermis treated with the carcinogen DMBA [PubChem=6001] followed by 20 weekly applications of the tumor promoter TPA [PubChem=4792], compared to the untreated skin.","DESCRIPTION_FULL":"Chemical induction of squamous tumors in the mouse skin induces multiple benign papillomas: high-frequency terminally benign low-risk papillomas and low-frequency high-risk papillomas, the putative precursor lesions to squamous cell carcinoma (SCC). We have compared the gene expression profile of twenty different early low- and high-risk papillomas with normal skin and SCC. Unsupervised clustering of 514 differentially expressed genes (P<0.001) showed that 9/10 high-risk papillomas clustered with SCC, while 1/10 clustered with low-risk papillomas, and this correlated with keratin markers of tumor progression. Prediction analysis for microarrays (PAM) identified 87 genes that distinguished the two papilloma classes, and a majority of these had a similar expression pattern in both high-risk papillomas and SCC. Additional classifier algorithms generated a gene list that correctly classified unknown benign tumors as low- or high-risk concordant with promotion protocol and keratin profiling. Reduced expression of immune function genes characterized the high-risk papillomas and SCC. Immunohistochemistry confirmed reduced T-cell number in high-risk papillomas, suggesting that reduced adaptive immunity defines papillomas that progress to SCC. These results demonstrate that murine premalignant lesions can be segregated into subgroups by gene expression patterns that correlate with risk for malignant conversion, and suggest a paradigm for generating diagnostic biomarkers for human premalignant lesions with unknown individual risk for malignant conversion."}
{"STANDARD_NAME":"DARWICHE_SKIN_TUMOR_PROMOTER_DN","SYSTEMATIC_NAME":"M1132","ORGANISM":"Mus musculus","PMID":"17525749","AUTHORS":"Darwiche N,Ryscavage A,Perez-Lorenzo R,Wright L,Bae DS,Hennings H,Yuspa SH,Glick AB","GEOID":"GSE5576","EXACT_SOURCE":"Table 1S: Chronic TPA < 1","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated during skin tumor progression: epidermis treated with the carcinogen DMBA [PubChem=6001] followed by 20 weekly applications of the tumor promoter TPA [PubChem=4792], compared to the untreated skin.","DESCRIPTION_FULL":"Chemical induction of squamous tumors in the mouse skin induces multiple benign papillomas: high-frequency terminally benign low-risk papillomas and low-frequency high-risk papillomas, the putative precursor lesions to squamous cell carcinoma (SCC). We have compared the gene expression profile of twenty different early low- and high-risk papillomas with normal skin and SCC. Unsupervised clustering of 514 differentially expressed genes (P<0.001) showed that 9/10 high-risk papillomas clustered with SCC, while 1/10 clustered with low-risk papillomas, and this correlated with keratin markers of tumor progression. Prediction analysis for microarrays (PAM) identified 87 genes that distinguished the two papilloma classes, and a majority of these had a similar expression pattern in both high-risk papillomas and SCC. Additional classifier algorithms generated a gene list that correctly classified unknown benign tumors as low- or high-risk concordant with promotion protocol and keratin profiling. Reduced expression of immune function genes characterized the high-risk papillomas and SCC. Immunohistochemistry confirmed reduced T-cell number in high-risk papillomas, suggesting that reduced adaptive immunity defines papillomas that progress to SCC. These results demonstrate that murine premalignant lesions can be segregated into subgroups by gene expression patterns that correlate with risk for malignant conversion, and suggest a paradigm for generating diagnostic biomarkers for human premalignant lesions with unknown individual risk for malignant conversion."}
{"STANDARD_NAME":"DARWICHE_PAPILLOMA_RISK_LOW_UP","SYSTEMATIC_NAME":"M1133","ORGANISM":"Mus musculus","PMID":"17525749","AUTHORS":"Darwiche N,Ryscavage A,Perez-Lorenzo R,Wright L,Bae DS,Hennings H,Yuspa SH,Glick AB","GEOID":"GSE5576","EXACT_SOURCE":"Table 1S: Papilloma Low-Risk > 1","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated during skin tumor progression from low risk papilloma vs normal skin.","DESCRIPTION_FULL":"Chemical induction of squamous tumors in the mouse skin induces multiple benign papillomas: high-frequency terminally benign low-risk papillomas and low-frequency high-risk papillomas, the putative precursor lesions to squamous cell carcinoma (SCC). We have compared the gene expression profile of twenty different early low- and high-risk papillomas with normal skin and SCC. Unsupervised clustering of 514 differentially expressed genes (P<0.001) showed that 9/10 high-risk papillomas clustered with SCC, while 1/10 clustered with low-risk papillomas, and this correlated with keratin markers of tumor progression. Prediction analysis for microarrays (PAM) identified 87 genes that distinguished the two papilloma classes, and a majority of these had a similar expression pattern in both high-risk papillomas and SCC. Additional classifier algorithms generated a gene list that correctly classified unknown benign tumors as low- or high-risk concordant with promotion protocol and keratin profiling. Reduced expression of immune function genes characterized the high-risk papillomas and SCC. Immunohistochemistry confirmed reduced T-cell number in high-risk papillomas, suggesting that reduced adaptive immunity defines papillomas that progress to SCC. These results demonstrate that murine premalignant lesions can be segregated into subgroups by gene expression patterns that correlate with risk for malignant conversion, and suggest a paradigm for generating diagnostic biomarkers for human premalignant lesions with unknown individual risk for malignant conversion."}
{"STANDARD_NAME":"DARWICHE_PAPILLOMA_RISK_LOW_DN","SYSTEMATIC_NAME":"M1134","ORGANISM":"Mus musculus","PMID":"17525749","AUTHORS":"Darwiche N,Ryscavage A,Perez-Lorenzo R,Wright L,Bae DS,Hennings H,Yuspa SH,Glick AB","GEOID":"GSE5576","EXACT_SOURCE":"Table 1S: Papilloma Low-Risk < 1","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated during skin tumor progression from low risk papilloma vs normal skin.","DESCRIPTION_FULL":"Chemical induction of squamous tumors in the mouse skin induces multiple benign papillomas: high-frequency terminally benign low-risk papillomas and low-frequency high-risk papillomas, the putative precursor lesions to squamous cell carcinoma (SCC). We have compared the gene expression profile of twenty different early low- and high-risk papillomas with normal skin and SCC. Unsupervised clustering of 514 differentially expressed genes (P<0.001) showed that 9/10 high-risk papillomas clustered with SCC, while 1/10 clustered with low-risk papillomas, and this correlated with keratin markers of tumor progression. Prediction analysis for microarrays (PAM) identified 87 genes that distinguished the two papilloma classes, and a majority of these had a similar expression pattern in both high-risk papillomas and SCC. Additional classifier algorithms generated a gene list that correctly classified unknown benign tumors as low- or high-risk concordant with promotion protocol and keratin profiling. Reduced expression of immune function genes characterized the high-risk papillomas and SCC. Immunohistochemistry confirmed reduced T-cell number in high-risk papillomas, suggesting that reduced adaptive immunity defines papillomas that progress to SCC. These results demonstrate that murine premalignant lesions can be segregated into subgroups by gene expression patterns that correlate with risk for malignant conversion, and suggest a paradigm for generating diagnostic biomarkers for human premalignant lesions with unknown individual risk for malignant conversion."}
{"STANDARD_NAME":"DARWICHE_PAPILLOMA_RISK_HIGH_UP","SYSTEMATIC_NAME":"M1135","ORGANISM":"Mus musculus","PMID":"17525749","AUTHORS":"Darwiche N,Ryscavage A,Perez-Lorenzo R,Wright L,Bae DS,Hennings H,Yuspa SH,Glick AB","GEOID":"GSE5576","EXACT_SOURCE":"Table 1S: Papilloma High-Risk > 1","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated during skin tumor progression from normal skin to high risk papilloma.","DESCRIPTION_FULL":"Chemical induction of squamous tumors in the mouse skin induces multiple benign papillomas: high-frequency terminally benign low-risk papillomas and low-frequency high-risk papillomas, the putative precursor lesions to squamous cell carcinoma (SCC). We have compared the gene expression profile of twenty different early low- and high-risk papillomas with normal skin and SCC. Unsupervised clustering of 514 differentially expressed genes (P<0.001) showed that 9/10 high-risk papillomas clustered with SCC, while 1/10 clustered with low-risk papillomas, and this correlated with keratin markers of tumor progression. Prediction analysis for microarrays (PAM) identified 87 genes that distinguished the two papilloma classes, and a majority of these had a similar expression pattern in both high-risk papillomas and SCC. Additional classifier algorithms generated a gene list that correctly classified unknown benign tumors as low- or high-risk concordant with promotion protocol and keratin profiling. Reduced expression of immune function genes characterized the high-risk papillomas and SCC. Immunohistochemistry confirmed reduced T-cell number in high-risk papillomas, suggesting that reduced adaptive immunity defines papillomas that progress to SCC. These results demonstrate that murine premalignant lesions can be segregated into subgroups by gene expression patterns that correlate with risk for malignant conversion, and suggest a paradigm for generating diagnostic biomarkers for human premalignant lesions with unknown individual risk for malignant conversion."}
{"STANDARD_NAME":"DARWICHE_PAPILLOMA_RISK_HIGH_DN","SYSTEMATIC_NAME":"M1137","ORGANISM":"Mus musculus","PMID":"17525749","AUTHORS":"Darwiche N,Ryscavage A,Perez-Lorenzo R,Wright L,Bae DS,Hennings H,Yuspa SH,Glick AB","GEOID":"GSE5576","EXACT_SOURCE":"Table 1S: Papilloma High-Risk < 1","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated during skin tumor progression from normal skin to high risk papilloma.","DESCRIPTION_FULL":"Chemical induction of squamous tumors in the mouse skin induces multiple benign papillomas: high-frequency terminally benign low-risk papillomas and low-frequency high-risk papillomas, the putative precursor lesions to squamous cell carcinoma (SCC). We have compared the gene expression profile of twenty different early low- and high-risk papillomas with normal skin and SCC. Unsupervised clustering of 514 differentially expressed genes (P<0.001) showed that 9/10 high-risk papillomas clustered with SCC, while 1/10 clustered with low-risk papillomas, and this correlated with keratin markers of tumor progression. Prediction analysis for microarrays (PAM) identified 87 genes that distinguished the two papilloma classes, and a majority of these had a similar expression pattern in both high-risk papillomas and SCC. Additional classifier algorithms generated a gene list that correctly classified unknown benign tumors as low- or high-risk concordant with promotion protocol and keratin profiling. Reduced expression of immune function genes characterized the high-risk papillomas and SCC. Immunohistochemistry confirmed reduced T-cell number in high-risk papillomas, suggesting that reduced adaptive immunity defines papillomas that progress to SCC. These results demonstrate that murine premalignant lesions can be segregated into subgroups by gene expression patterns that correlate with risk for malignant conversion, and suggest a paradigm for generating diagnostic biomarkers for human premalignant lesions with unknown individual risk for malignant conversion."}
{"STANDARD_NAME":"DARWICHE_SQUAMOUS_CELL_CARCINOMA_UP","SYSTEMATIC_NAME":"M1139","ORGANISM":"Mus musculus","PMID":"17525749","AUTHORS":"Darwiche N,Ryscavage A,Perez-Lorenzo R,Wright L,Bae DS,Hennings H,Yuspa SH,Glick AB","GEOID":"GSE5576","EXACT_SOURCE":"Table 1S: SCC > 1","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in squamous cell carcinoma (SCC) compared to normal skin.","DESCRIPTION_FULL":"Chemical induction of squamous tumors in the mouse skin induces multiple benign papillomas: high-frequency terminally benign low-risk papillomas and low-frequency high-risk papillomas, the putative precursor lesions to squamous cell carcinoma (SCC). We have compared the gene expression profile of twenty different early low- and high-risk papillomas with normal skin and SCC. Unsupervised clustering of 514 differentially expressed genes (P<0.001) showed that 9/10 high-risk papillomas clustered with SCC, while 1/10 clustered with low-risk papillomas, and this correlated with keratin markers of tumor progression. Prediction analysis for microarrays (PAM) identified 87 genes that distinguished the two papilloma classes, and a majority of these had a similar expression pattern in both high-risk papillomas and SCC. Additional classifier algorithms generated a gene list that correctly classified unknown benign tumors as low- or high-risk concordant with promotion protocol and keratin profiling. Reduced expression of immune function genes characterized the high-risk papillomas and SCC. Immunohistochemistry confirmed reduced T-cell number in high-risk papillomas, suggesting that reduced adaptive immunity defines papillomas that progress to SCC. These results demonstrate that murine premalignant lesions can be segregated into subgroups by gene expression patterns that correlate with risk for malignant conversion, and suggest a paradigm for generating diagnostic biomarkers for human premalignant lesions with unknown individual risk for malignant conversion."}
{"STANDARD_NAME":"DARWICHE_SQUAMOUS_CELL_CARCINOMA_DN","SYSTEMATIC_NAME":"M1140","ORGANISM":"Mus musculus","PMID":"17525749","AUTHORS":"Darwiche N,Ryscavage A,Perez-Lorenzo R,Wright L,Bae DS,Hennings H,Yuspa SH,Glick AB","GEOID":"GSE5576","EXACT_SOURCE":"Table 1S: SCC < 1","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in squamous cell carcinoma (SCC) compared to normal skin.","DESCRIPTION_FULL":"Chemical induction of squamous tumors in the mouse skin induces multiple benign papillomas: high-frequency terminally benign low-risk papillomas and low-frequency high-risk papillomas, the putative precursor lesions to squamous cell carcinoma (SCC). We have compared the gene expression profile of twenty different early low- and high-risk papillomas with normal skin and SCC. Unsupervised clustering of 514 differentially expressed genes (P<0.001) showed that 9/10 high-risk papillomas clustered with SCC, while 1/10 clustered with low-risk papillomas, and this correlated with keratin markers of tumor progression. Prediction analysis for microarrays (PAM) identified 87 genes that distinguished the two papilloma classes, and a majority of these had a similar expression pattern in both high-risk papillomas and SCC. Additional classifier algorithms generated a gene list that correctly classified unknown benign tumors as low- or high-risk concordant with promotion protocol and keratin profiling. Reduced expression of immune function genes characterized the high-risk papillomas and SCC. Immunohistochemistry confirmed reduced T-cell number in high-risk papillomas, suggesting that reduced adaptive immunity defines papillomas that progress to SCC. These results demonstrate that murine premalignant lesions can be segregated into subgroups by gene expression patterns that correlate with risk for malignant conversion, and suggest a paradigm for generating diagnostic biomarkers for human premalignant lesions with unknown individual risk for malignant conversion."}
{"STANDARD_NAME":"MAHADEVAN_IMATINIB_RESISTANCE_UP","SYSTEMATIC_NAME":"M18876","ORGANISM":"Homo sapiens","PMID":"17325667","AUTHORS":"Mahadevan D,Cooke L,Riley C,Swart R,Simons B,Della Croce K,Wisner L,Iorio M,Shakalya K,Garewal H,Nagle R,Bearss D","EXACT_SOURCE":"Table 1A","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top genes up-regulated in the GIST (gastrointestinal stromal tumor) cell line resistant to imatinib [PubChem=5291] compared to the parental cell line sensitive to the drug.","DESCRIPTION_FULL":"KIT or alpha-platelet-derived growth factor receptor (alpha-PDGFR) activating mutations are the pathogenic mechanisms that characterize gastrointestinal stromal tumors (GIST). Despite excellent responses to imatinib mesylate (IM), patients are relapsing. We developed an IM-resistant GIST cell line (GIST-R) from the IM-sensitive GIST882 cell line (GIST-S) by growing these cells in IM. Gene expression profiling (GEP) of GIST-S, GIST-R cells and two IM resistant GIST patients demonstrated that KIT is downregulated implying a major role in IM resistance. Instead, GIST-R cells have acquired IM resistance by overexpressing the oncogenic receptor tyrosine kinase - AXL - in a 'kinase switch'. Further, the two IM resistant GIST patients express AXL and not c-Kit, seen by immunohistochemistry (IHC). Real time reverse transcriptase-polymerase chain reaction and Western blotting of the GIST-S and GIST-R cells confirmed the switch from Kit to AXL. In GIST-R, AXL is tyrosine phosphorylated and its ligand growth-arrest-specific gene 6 is overexpressed implying autocrine activation. The kinase switch is associated with a morphological change from spindle to epithelioid. Molecular modeling of the kinase domain of mutant c-Kit (V654A) and AXL showed no binding to IM but efficient binding to MP470, a novel c-Kit/AXL kinase inhibitor. MP470 synergizes with docetaxel (taxotere) and is cytotoxic to GIST cells."}
{"STANDARD_NAME":"MAHADEVAN_IMATINIB_RESISTANCE_DN","SYSTEMATIC_NAME":"M11367","ORGANISM":"Homo sapiens","PMID":"17325667","AUTHORS":"Mahadevan D,Cooke L,Riley C,Swart R,Simons B,Della Croce K,Wisner L,Iorio M,Shakalya K,Garewal H,Nagle R,Bearss D","EXACT_SOURCE":"Table 1B","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top genes down-regulated in the GIST (gastrointestinal stromal tumor) cell line resistant to imatinib [PubChem=5291] compared to the parental cell line sensitive to the drug.","DESCRIPTION_FULL":"KIT or alpha-platelet-derived growth factor receptor (alpha-PDGFR) activating mutations are the pathogenic mechanisms that characterize gastrointestinal stromal tumors (GIST). Despite excellent responses to imatinib mesylate (IM), patients are relapsing. We developed an IM-resistant GIST cell line (GIST-R) from the IM-sensitive GIST882 cell line (GIST-S) by growing these cells in IM. Gene expression profiling (GEP) of GIST-S, GIST-R cells and two IM resistant GIST patients demonstrated that KIT is downregulated implying a major role in IM resistance. Instead, GIST-R cells have acquired IM resistance by overexpressing the oncogenic receptor tyrosine kinase - AXL - in a 'kinase switch'. Further, the two IM resistant GIST patients express AXL and not c-Kit, seen by immunohistochemistry (IHC). Real time reverse transcriptase-polymerase chain reaction and Western blotting of the GIST-S and GIST-R cells confirmed the switch from Kit to AXL. In GIST-R, AXL is tyrosine phosphorylated and its ligand growth-arrest-specific gene 6 is overexpressed implying autocrine activation. The kinase switch is associated with a morphological change from spindle to epithelioid. Molecular modeling of the kinase domain of mutant c-Kit (V654A) and AXL showed no binding to IM but efficient binding to MP470, a novel c-Kit/AXL kinase inhibitor. MP470 synergizes with docetaxel (taxotere) and is cytotoxic to GIST cells."}
{"STANDARD_NAME":"TOMIDA_METASTASIS_UP","SYSTEMATIC_NAME":"M17830","ORGANISM":"Homo sapiens","PMID":"17260014","AUTHORS":"Tomida S,Yanagisawa K,Koshikawa K,Yatabe Y,Mitsudomi T,Osada H,Takahashi T","GEOID":"GSE4705","EXACT_SOURCE":"Table 1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Up-regulated genes associated with the acquision of metastatic potential in LNM35 cells (large cell lung cancer).","DESCRIPTION_FULL":"Although widespread metastasis is the major cause of human lung cancer-related deaths, its underlying mechanism remains largely unclear. Our genome-wide comparison of the expression profiles of a highly metastatic lung cancer cell line, NCI-H460-LNM35 (LNM35), and its parental clone, NCI-H460-N15 (N15), resulted in the identification of a cancer metastasis signature composed of 45 genes. Through gene ontology analysis, our study also provided insights into how this 45-gene metastasis signature may contribute to the acquisition of metastatic potential. By applying the signature to datasets of human cancer cases, we could demonstrate significant associations with a subset of cases with poor prognosis not only for the two datasets of cancers of the lung but also for cancers of the breast. Furthermore, we were able to show that enforced expression of the DLX4 homeobox gene, which was identified as a gene with significant downregulation in LNM35 as well as with significant association with favorable prognosis for lung cancer patients, markedly inhibited in vitro motility and invasion as well as in vivo metastasis via both hematogenous and lymphogenous routes. Taken together, these findings indicate that our combined transcriptome analysis is an efficient approach in the search for genes possessing both clinical usefulness in terms of prognostic prediction in human cancer cases and clear functional relevance for studying cancer biology in relation to metastasis."}
{"STANDARD_NAME":"TOMIDA_METASTASIS_DN","SYSTEMATIC_NAME":"M2583","ORGANISM":"Homo sapiens","PMID":"17260014","AUTHORS":"Tomida S,Yanagisawa K,Koshikawa K,Yatabe Y,Mitsudomi T,Osada H,Takahashi T","GEOID":"GSE4705","EXACT_SOURCE":"Table 1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated genes associated with the acquision of metastatic potential in LNM35 cells (large cell lung cancer).","DESCRIPTION_FULL":"Although widespread metastasis is the major cause of human lung cancer-related deaths, its underlying mechanism remains largely unclear. Our genome-wide comparison of the expression profiles of a highly metastatic lung cancer cell line, NCI-H460-LNM35 (LNM35), and its parental clone, NCI-H460-N15 (N15), resulted in the identification of a cancer metastasis signature composed of 45 genes. Through gene ontology analysis, our study also provided insights into how this 45-gene metastasis signature may contribute to the acquisition of metastatic potential. By applying the signature to datasets of human cancer cases, we could demonstrate significant associations with a subset of cases with poor prognosis not only for the two datasets of cancers of the lung but also for cancers of the breast. Furthermore, we were able to show that enforced expression of the DLX4 homeobox gene, which was identified as a gene with significant downregulation in LNM35 as well as with significant association with favorable prognosis for lung cancer patients, markedly inhibited in vitro motility and invasion as well as in vivo metastasis via both hematogenous and lymphogenous routes. Taken together, these findings indicate that our combined transcriptome analysis is an efficient approach in the search for genes possessing both clinical usefulness in terms of prognostic prediction in human cancer cases and clear functional relevance for studying cancer biology in relation to metastasis."}
{"STANDARD_NAME":"HWANG_PROSTATE_CANCER_MARKERS","SYSTEMATIC_NAME":"M6195","ORGANISM":"Homo sapiens","PMID":"16799640","AUTHORS":"Hwang SI,Thumar J,Lundgren DH,Rezaul K,Mayya V,Wu L,Eng J,Wright ME,Han DK","EXACT_SOURCE":"Table 3S","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Proteins implicated in prostate carcinogenesis.","DESCRIPTION_FULL":"Successful treatment of multiple cancer types requires early detection and identification of reliable biomarkers present in specific cancer tissues. To test the feasibility of identifying proteins from archival cancer tissues, we have developed a methodology, termed direct tissue proteomics (DTP), which can be used to identify proteins directly from formalin-fixed paraffin-embedded prostate cancer tissue samples. Using minute prostate biopsy sections, we demonstrate the identification of 428 prostate-expressed proteins using the shotgun method. Because the DTP method is not quantitative, we employed the absolute quantification method and demonstrate picogram level quantification of prostate-specific antigen. In depth bioinformatics analysis of these expressed proteins affords the categorization of metabolic pathways that may be important for distinct stages of prostate carcinogenesis. Furthermore, we validate Wnt-3 as an upregulated protein in cancerous prostate cells by immunohistochemistry. We propose that this general strategy provides a roadmap for successful identification of critical molecular targets of multiple cancer types."}
{"STANDARD_NAME":"HU_ANGIOGENESIS_UP","SYSTEMATIC_NAME":"M6967","ORGANISM":"Homo sapiens","PMID":"15592519","AUTHORS":"Hu J,Bianchi F,Ferguson M,Cesario A,Margaritora S,Granone P,Goldstraw P,Tetlow M,Ratcliffe C,Nicholson AG,Harris A,Gatter K,Pezzella F","EXACT_SOURCE":"Table 4S: Angio/non-angio > 1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Up-regulated genes that separate angiogenic from non-angiogenic non-small cell lung carcinoma (NSCLC) samples.","DESCRIPTION_FULL":"Angiogenesis is regarded as essential for tumour growth. However, we have demonstrated that some other aggressive non-small-cell lung carcinomas (n-SCLC) do not have angiogenesis. In this study, using cDNA microarray analysis, we demonstrate that angiogenic and nonangiogenic tumour types can be distinguished by their gene expression profiles. Tissue samples from 42 n-SCLC patients were obtained with consent. In all, 12 tumours were nonangiogenic and 30 angiogenic. The two groups were matched by age, sex, smoking and tumour stage. Total RNAs were extracted followed by microarray hybridization and image scan procedure. Data were analysed using GeneSpring 5.1 software. A total of 62 genes were found to be able to separate angiogenic from nonangiogenic tumours. Nonangiogenic tumours have higher levels of genes concerned with mitochondrial metabolism, mRNA transcription, protein synthesis and the cell cycle. Angiogenic tumours have higher levels of genes coding for membrane vesicles, integrins, remodelling, angiogenesis and apoptosis. These results further support our first finding that nonangiogenic lung tumours are fast-growing tumours filling the alveoli in the absence of vascular remodelling. We raise the hypothesis that in nonangiogenic tumours, hypoxia leads to a higher activation of the mitochondrial respiratory chain, which allows tumour growth without triggering angiogenesis."}
{"STANDARD_NAME":"HU_ANGIOGENESIS_DN","SYSTEMATIC_NAME":"M18833","ORGANISM":"Homo sapiens","PMID":"15592519","AUTHORS":"Hu J,Bianchi F,Ferguson M,Cesario A,Margaritora S,Granone P,Goldstraw P,Tetlow M,Ratcliffe C,Nicholson AG,Harris A,Gatter K,Pezzella F","EXACT_SOURCE":"Table 4S: Angio/non-angio < 1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated genes that separate angiogenic from non-angiogenic non-small cell lung carcinoma (NSCLC) samples.","DESCRIPTION_FULL":"Angiogenesis is regarded as essential for tumour growth. However, we have demonstrated that some other aggressive non-small-cell lung carcinomas (n-SCLC) do not have angiogenesis. In this study, using cDNA microarray analysis, we demonstrate that angiogenic and nonangiogenic tumour types can be distinguished by their gene expression profiles. Tissue samples from 42 n-SCLC patients were obtained with consent. In all, 12 tumours were nonangiogenic and 30 angiogenic. The two groups were matched by age, sex, smoking and tumour stage. Total RNAs were extracted followed by microarray hybridization and image scan procedure. Data were analysed using GeneSpring 5.1 software. A total of 62 genes were found to be able to separate angiogenic from nonangiogenic tumours. Nonangiogenic tumours have higher levels of genes concerned with mitochondrial metabolism, mRNA transcription, protein synthesis and the cell cycle. Angiogenic tumours have higher levels of genes coding for membrane vesicles, integrins, remodelling, angiogenesis and apoptosis. These results further support our first finding that nonangiogenic lung tumours are fast-growing tumours filling the alveoli in the absence of vascular remodelling. We raise the hypothesis that in nonangiogenic tumours, hypoxia leads to a higher activation of the mitochondrial respiratory chain, which allows tumour growth without triggering angiogenesis."}
{"STANDARD_NAME":"BEGUM_TARGETS_OF_PAX3_FOXO1_FUSION_UP","SYSTEMATIC_NAME":"M10156","ORGANISM":"Homo sapiens","PMID":"15688035","AUTHORS":"Begum S,Emami N,Cheung A,Wilkins O,Der S,Hamel PA","EXACT_SOURCE":"Table 1S","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in SaOS-2 cells (osteosarcoma) upon expression of PAX3-FOXO1 [GeneID=5077;2308] fusion protein off an adenoviral vector.","DESCRIPTION_FULL":"The oncogenic fusion protein, Pax3/FKHR, is a more potent transcription factor relative to its normal counterpart, Pax3. Since Pax3 induced a mesenchymal to epithelial transition (MET) in human SaOS-2 osteosarcomas, we hypothesized that Pax3/FKHR would also induce a morphological change in SaOS-2 cells. We demonstrate here that Pax3/FKHR more potently induces a MET in SaOS-2 cells than Pax3. This greater potency was further evident where Pax3/FKHR, but not Pax3, induced a morphological alteration in U2-OS osteosarcoma cells. By microarray analysis, we determined that Pax3/FKHR altered the expression of gene targets in a manner quantitatively and qualitatively distinct from Pax3. Three classes of genes were identified: (i) genes induced or repressed by Pax3 and Pax3/FKHR, (ii) genes induced or repressed by Pax3/FKHR but not Pax3 and (iii) genes induced by Pax3/FKHR but repressed by Pax3. Chromatin immunoprecipitations confirmed the direct binding of Pax3/FKHR to the promoter region of several factors including cannabinoid receptor-1, EPHA2 and EPHA4. Verification of the microarray data also revealed coordinate alteration in the expression of factors involved in BMP4 signalling. Regulation of gene expression by Pax3 and Pax3/FKHR is, however, cell-type specific. BMP4 expression, for example, was repressed by both Pax3 and Pax3/FKHR in SaOS-2 cells, while in the rhabdomyosarcoma, RD, Pax3/FKHR, but not Pax3, induced BMP4 expression. Thus, our data reveal that Pax3/FKHR regulates a distinct but overlapping set of genes relative to Pax3 and that the global set of Pax3 and Pax3/FKHR gene targets is cell-type specific."}
{"STANDARD_NAME":"DARWICHE_PAPILLOMA_PROGRESSION_RISK","SYSTEMATIC_NAME":"M1147","ORGANISM":"Mus musculus","PMID":"17525749","AUTHORS":"Darwiche N,Ryscavage A,Perez-Lorenzo R,Wright L,Bae DS,Hennings H,Yuspa SH,Glick AB","GEOID":"GSE5576","EXACT_SOURCE":"Table 3S","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes that classify progression risk of benign papilloma samples: low vs high risk.","DESCRIPTION_FULL":"Chemical induction of squamous tumors in the mouse skin induces multiple benign papillomas: high-frequency terminally benign low-risk papillomas and low-frequency high-risk papillomas, the putative precursor lesions to squamous cell carcinoma (SCC). We have compared the gene expression profile of twenty different early low- and high-risk papillomas with normal skin and SCC. Unsupervised clustering of 514 differentially expressed genes (P<0.001) showed that 9/10 high-risk papillomas clustered with SCC, while 1/10 clustered with low-risk papillomas, and this correlated with keratin markers of tumor progression. Prediction analysis for microarrays (PAM) identified 87 genes that distinguished the two papilloma classes, and a majority of these had a similar expression pattern in both high-risk papillomas and SCC. Additional classifier algorithms generated a gene list that correctly classified unknown benign tumors as low- or high-risk concordant with promotion protocol and keratin profiling. Reduced expression of immune function genes characterized the high-risk papillomas and SCC. Immunohistochemistry confirmed reduced T-cell number in high-risk papillomas, suggesting that reduced adaptive immunity defines papillomas that progress to SCC. These results demonstrate that murine premalignant lesions can be segregated into subgroups by gene expression patterns that correlate with risk for malignant conversion, and suggest a paradigm for generating diagnostic biomarkers for human premalignant lesions with unknown individual risk for malignant conversion."}
{"STANDARD_NAME":"SHIRAISHI_PLZF_TARGETS_UP","SYSTEMATIC_NAME":"M1168","ORGANISM":"Homo sapiens","PMID":"16862184","AUTHORS":"Shiraishi K,Yamasaki K,Nanba D,Inoue H,Hanakawa Y,Shirakata Y,Hashimoto K,Higashiyama S","EXACT_SOURCE":"Table 1","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in A375 and 397 cells (melanoma) by forced expression of PLZF [GeneID=7704] off adenovirus vector.","DESCRIPTION_FULL":"Promyelocytic leukemia zinc-finger (PLZF) is a transcriptional repressor and tumor suppressor. PLZF is expressed in melanocytes but not in melanoma cells, and recovery of PLZF expression markedly suppresses melanoma cell growth. Several target genes regulated by PLZF have been identified, but the precise function of PLZF remains uncertain. Here, we searched for candidate target genes of PLZF by DNA microarray analysis. Pre-B-cell leukemia transcription factor 1 (Pbx1) was one of the prominently suppressed genes. Pbx1 was highly expressed in melanoma cells, and its expression was reduced by transduction with the PLZF gene. Moreover, the growth suppression mediated by PLZF was reversed by enforced expression of Pbx1. Knockdown of Pbx1 by specific small interfering RNAs suppressed melanoma cell growth. We also found that Pbx1 binds HoxB7. Reverse transcription-polymerase chain reaction analysis demonstrated that repression of Pbx1 by PLZF reduces the expression of HoxB7 target genes, including tumor-associated neoangiogenesis factors such as basic fibroblast growth factor, angiopoietin-2 and matrix metalloprotease 9. These findings suggest that deregulation of Pbx1 expression owing to loss of PLZF expression contributes to the progression and/or pathogenesis of melanoma."}
{"STANDARD_NAME":"SHIRAISHI_PLZF_TARGETS_DN","SYSTEMATIC_NAME":"M2530","ORGANISM":"Homo sapiens","PMID":"16862184","AUTHORS":"Shiraishi K,Yamasaki K,Nanba D,Inoue H,Hanakawa Y,Shirakata Y,Hashimoto K,Higashiyama S","EXACT_SOURCE":"Table 1","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in A375 and 397 cells (melanoma) by forced expression of PLZF [GeneID=7704] off adenovirus vector.","DESCRIPTION_FULL":"Promyelocytic leukemia zinc-finger (PLZF) is a transcriptional repressor and tumor suppressor. PLZF is expressed in melanocytes but not in melanoma cells, and recovery of PLZF expression markedly suppresses melanoma cell growth. Several target genes regulated by PLZF have been identified, but the precise function of PLZF remains uncertain. Here, we searched for candidate target genes of PLZF by DNA microarray analysis. Pre-B-cell leukemia transcription factor 1 (Pbx1) was one of the prominently suppressed genes. Pbx1 was highly expressed in melanoma cells, and its expression was reduced by transduction with the PLZF gene. Moreover, the growth suppression mediated by PLZF was reversed by enforced expression of Pbx1. Knockdown of Pbx1 by specific small interfering RNAs suppressed melanoma cell growth. We also found that Pbx1 binds HoxB7. Reverse transcription-polymerase chain reaction analysis demonstrated that repression of Pbx1 by PLZF reduces the expression of HoxB7 target genes, including tumor-associated neoangiogenesis factors such as basic fibroblast growth factor, angiopoietin-2 and matrix metalloprotease 9. These findings suggest that deregulation of Pbx1 expression owing to loss of PLZF expression contributes to the progression and/or pathogenesis of melanoma."}
{"STANDARD_NAME":"MOTAMED_RESPONSE_TO_ANDROGEN_DN","SYSTEMATIC_NAME":"M1149","ORGANISM":"Homo sapiens","PMID":"16832351","AUTHORS":"Motamed-Khorasani A,Jurisica I,Letarte M,Shaw PA,Parkes RK,Zhang X,Evangelou A,Rosen B,Murphy KJ,Brown TJ","EXACT_SOURCE":"Table 2 OSE vs OVCAS","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in ovarian epithelial cells in response to dihydrotestosterone (DHT) [PubChem=10635].","DESCRIPTION_FULL":"Epidemiological studies have implicated androgens in the etiology and progression of epithelial ovarian cancer. We previously reported that some androgen responses were dysregulated in malignant ovarian epithelial cells relative to control, non-malignant ovarian surface epithelial (OSE) cells. Moreover, dysregulated androgen responses were observed in OSE cells derived from patients with germline BRCA-1 or -2 mutations (OSEb), which account for the majority of familial ovarian cancer predisposition, and such altered responses may be involved in ovarian carcinogenesis or progression. In the present study, gene expression profiling using cDNA microarrays identified 17 genes differentially expressed in response to continuous androgen exposure in OSEb cells and ovarian cancer cells as compared to OSE cells derived from control patients. A subset of these differentially affected genes was selected and verified by quantitative real-time reverse transcription-polymerase chain reaction. Six of the gene products mapped to the OPHID protein-protein interaction database, and five were networked within two interacting partners. Basic leucine zipper transcription factor 2 (BACH2) and acetylcholinesterase (ACHE), which were upregulated by androgen in OSEb cells relative to OSE cells, were further investigated using an ovarian cancer tissue microarray from a separate set of 149 clinical samples. Both cytoplasmic ACHE and BACH2 immunostaining were significantly increased in ovarian cancer relative to benign cases. High levels of cytoplasmic ACHE staining correlated with decreased survival, whereas nuclear BACH2 staining correlated with decreased time to disease recurrence. The finding that products of genes differentially responsive to androgen in OSEb cells may predict survival and disease progression supports a role for altered androgen effects in ovarian cancer. In addition to BACH2 and ACHE, this study highlights a set of potentially functionally related genes for further investigation in ovarian cancer."}
{"STANDARD_NAME":"RAMJAUN_APOPTOSIS_BY_TGFB1_VIA_SMAD4_UP","SYSTEMATIC_NAME":"M1150","ORGANISM":"Mus musculus","PMID":"16909112","AUTHORS":"Ramjaun AR,Tomlinson S,Eddaoudi A,Downward J","EXACT_SOURCE":"Table 1: TGFb-upregulated genes (smad4 dependent)","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Apoptotic genes dependent on SMAD4 [GeneID=4089] and up-regulated in AML12 cells (hepatocytes) after stimulation with TGFB1 [GeneID=7040].","DESCRIPTION_FULL":"Transforming growth factor-beta (TGFbeta)-activated signalling pathways can lead to apoptosis, growth arrest or promotion of malignant behaviour, dependent on cellular context. The molecular mechanisms involved in TGFbeta-induced apoptosis remain controversial; although changes in gene expression are thought to be pivotal to the process, several different candidate apoptotic initiators and mediators have been proposed. Smad4, a critical component of the TGFbeta-induced transcriptional machinery, is shown here to be essential for induction of apoptosis. Gene expression analysis identified the proapoptotic Bcl-2 family members, Bmf and Bim, as induced by TGFbeta, dependent on both Smad4 and p38 function and the generation of reactive oxygen species. TGFbeta-induced Bmf and Bim localize to cellular membranes implicated in apoptosis. Inhibition of the TGFbeta-induced expression of both these proteins together provides significant protection of cells from apoptosis. The TGFbeta-triggered cell death programme thus involves induction of multiple BH3-only proteins during the induction of apoptosis."}
{"STANDARD_NAME":"RAMJAUN_APOPTOSIS_BY_TGFB1_VIA_SMAD4_DN","SYSTEMATIC_NAME":"M1151","ORGANISM":"Mus musculus","PMID":"16909112","AUTHORS":"Ramjaun AR,Tomlinson S,Eddaoudi A,Downward J","EXACT_SOURCE":"Table 1: TGFb-downregulated genes (smad4 dependent)","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Apoptotic genes dependent on SMAD4 [GeneID=4089] and down-regulated in AML12 cells (hepatocytes) after stimulation with TGFB1 [GeneID=7040].","DESCRIPTION_FULL":"Transforming growth factor-beta (TGFbeta)-activated signalling pathways can lead to apoptosis, growth arrest or promotion of malignant behaviour, dependent on cellular context. The molecular mechanisms involved in TGFbeta-induced apoptosis remain controversial; although changes in gene expression are thought to be pivotal to the process, several different candidate apoptotic initiators and mediators have been proposed. Smad4, a critical component of the TGFbeta-induced transcriptional machinery, is shown here to be essential for induction of apoptosis. Gene expression analysis identified the proapoptotic Bcl-2 family members, Bmf and Bim, as induced by TGFbeta, dependent on both Smad4 and p38 function and the generation of reactive oxygen species. TGFbeta-induced Bmf and Bim localize to cellular membranes implicated in apoptosis. Inhibition of the TGFbeta-induced expression of both these proteins together provides significant protection of cells from apoptosis. The TGFbeta-triggered cell death programme thus involves induction of multiple BH3-only proteins during the induction of apoptosis."}
{"STANDARD_NAME":"RAMJAUN_APOPTOSIS_BY_TGFB1_VIA_MAPK1_UP","SYSTEMATIC_NAME":"M1152","ORGANISM":"Mus musculus","PMID":"16909112","AUTHORS":"Ramjaun AR,Tomlinson S,Eddaoudi A,Downward J","EXACT_SOURCE":"Table 1: TGFb-upregulated genes (p38 dependent)","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Apoptotic genes dependent on MAPK1 [GeneID=5594] and up-regulated in AML12 cells (hepatocytes) after stimulation with TGFB1 [GeneID=7040].","DESCRIPTION_FULL":"Transforming growth factor-beta (TGFbeta)-activated signalling pathways can lead to apoptosis, growth arrest or promotion of malignant behaviour, dependent on cellular context. The molecular mechanisms involved in TGFbeta-induced apoptosis remain controversial; although changes in gene expression are thought to be pivotal to the process, several different candidate apoptotic initiators and mediators have been proposed. Smad4, a critical component of the TGFbeta-induced transcriptional machinery, is shown here to be essential for induction of apoptosis. Gene expression analysis identified the proapoptotic Bcl-2 family members, Bmf and Bim, as induced by TGFbeta, dependent on both Smad4 and p38 function and the generation of reactive oxygen species. TGFbeta-induced Bmf and Bim localize to cellular membranes implicated in apoptosis. Inhibition of the TGFbeta-induced expression of both these proteins together provides significant protection of cells from apoptosis. The TGFbeta-triggered cell death programme thus involves induction of multiple BH3-only proteins during the induction of apoptosis."}
{"STANDARD_NAME":"RAMJAUN_APOPTOSIS_BY_TGFB1_VIA_MAPK1_DN","SYSTEMATIC_NAME":"M1154","ORGANISM":"Mus musculus","PMID":"16909112","AUTHORS":"Ramjaun AR,Tomlinson S,Eddaoudi A,Downward J","EXACT_SOURCE":"Table 1: TGFb-downregulated genes (p38 dependent)","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Apoptotic genes dependent on MAPK1 [GeneID=5594] and down-regulated in AML12 cells (hepatocytes) after stimulation with TGFB1 [GeneID=7040].","DESCRIPTION_FULL":"Transforming growth factor-beta (TGFbeta)-activated signalling pathways can lead to apoptosis, growth arrest or promotion of malignant behaviour, dependent on cellular context. The molecular mechanisms involved in TGFbeta-induced apoptosis remain controversial; although changes in gene expression are thought to be pivotal to the process, several different candidate apoptotic initiators and mediators have been proposed. Smad4, a critical component of the TGFbeta-induced transcriptional machinery, is shown here to be essential for induction of apoptosis. Gene expression analysis identified the proapoptotic Bcl-2 family members, Bmf and Bim, as induced by TGFbeta, dependent on both Smad4 and p38 function and the generation of reactive oxygen species. TGFbeta-induced Bmf and Bim localize to cellular membranes implicated in apoptosis. Inhibition of the TGFbeta-induced expression of both these proteins together provides significant protection of cells from apoptosis. The TGFbeta-triggered cell death programme thus involves induction of multiple BH3-only proteins during the induction of apoptosis."}
{"STANDARD_NAME":"OLSSON_E2F3_TARGETS_UP","SYSTEMATIC_NAME":"M18325","ORGANISM":"Homo sapiens","PMID":"16909110","AUTHORS":"Olsson AY,Feber A,Edwards S,Te Poele R,Giddings I,Merson S,Cooper CS","GEOID":"GSE6131","EXACT_SOURCE":"Table 1","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in the 5637 cell line (bladder cancer) after knockdown of E2F3 [GeneID=1871] by RNAi.","DESCRIPTION_FULL":"Amplification and overexpression of the E2F3 gene at 6p22 in human bladder cancer is associated with increased tumour stage, grade and proliferation index, and in prostate cancer E2F3 overexpression is linked to tumour aggressiveness. We first used small interfering RNA technology to confirm the potential importance of E2F3 overexpression in bladder cancer development. Knockdown of E2F3 expression in bladder cells containing the 6p22 amplicon strongly reduced the extent of bromodeoxyuridine (BrdU) incorporation and the rate of cellular proliferation. In contrast, knockdown of CDKAL1/FLJ20342, another proposed oncogene, from this amplicon had no effect. Expression cDNA microarray analysis on bladder cancer cells following E2F3 knockdown was then used to identify genes regulated by E2F3, leading to the identification of known E2F3 targets such as Cyclin A and CDC2 and novel targets including pituitary tumour transforming gene 1, Polo-like kinase 1 (PLK1) and Caveolin-2. For both bladder and prostate cancer, we have proposed that E2F3 protein overexpression may cooperate with removal of the E2F inhibitor retinoblastoma tumor suppressor protein (pRB) to drive cellular proliferation. In support of this model, we found that ectopic expression of E2F3a enhanced the BrdU incorporation, a marker of cellular proliferation rate, of prostate cancer DU145 cells, which lack pRB, but had no effect on the proliferation rate of PC3 prostate cancer cells that express wild-type pRB. BrdU incorporation in PC3 cells could, however, be increased by overexpressing E2F3a in cells depleted of pRB. When taken together, these observations indicate that E2F3 levels have a critical role in modifying cellular proliferation rate in human bladder and prostate cancer."}
{"STANDARD_NAME":"CHOI_ATL_ACUTE_STAGE","SYSTEMATIC_NAME":"M10100","ORGANISM":"Homo sapiens","PMID":"16909099","AUTHORS":"Choi YL,Tsukasaki K,O'Neill MC,Yamada Y,Onimaru Y,Matsumoto K,Ohashi J,Yamashita Y,Tsutsumi S,Kaneda R,Takada S,Aburatani H,Kamihira S,Nakamura T,Tomonaga M,Mano H","GEOID":"GSE1466","EXACT_SOURCE":"Table 4S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Acute stage-specific genes for adult T cell leukemia (ATL).","DESCRIPTION_FULL":"Adult T-cell leukemia (ATL) is an intractable malignancy of CD4+ T cells that is etiologically associated with infection by human T-cell leukemia virus-type I. Most individuals in the chronic stage of ATL eventually undergo progression to a highly aggressive acute stage. To clarify the mechanism responsible for this stage progression, we isolated CD4+ cells from individuals in the chronic (n=19) or acute (n=22) stages of ATL and subjected them to profiling of gene expression with DNA microarrays containing >44,000 probe sets. Changes in chromosome copy number were also examined for 24 cell specimens with the use of microarrays harboring approximately 50,000 probe sets. Stage-dependent changes in gene expression profile and chromosome copy number were apparent. Furthermore, expression of the gene for MET, a receptor tyrosine kinase for hepatocyte growth factor (HGF), was shown to be specific to the acute stage of ATL, and the plasma concentration of HGF was increased in individuals in either the acute or chronic stage. HGF induced proliferation of a MET-positive ATL cell line, and this effect was blocked by antibodies to HGF. The HGF-MET signaling pathway is thus a potential therapeutic target for ATL."}
{"STANDARD_NAME":"CHOI_ATL_STAGE_PREDICTOR","SYSTEMATIC_NAME":"M7507","ORGANISM":"Homo sapiens","PMID":"16909099","AUTHORS":"Choi YL,Tsukasaki K,O'Neill MC,Yamada Y,Onimaru Y,Matsumoto K,Ohashi J,Yamashita Y,Tsutsumi S,Kaneda R,Takada S,Aburatani H,Kamihira S,Nakamura T,Tomonaga M,Mano H","GEOID":"GSE1466","EXACT_SOURCE":"Table 3S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes used to predict the clinical stages of acute T-cell leukemia (ATL): chronic vs acute.","DESCRIPTION_FULL":"Adult T-cell leukemia (ATL) is an intractable malignancy of CD4+ T cells that is etiologically associated with infection by human T-cell leukemia virus-type I. Most individuals in the chronic stage of ATL eventually undergo progression to a highly aggressive acute stage. To clarify the mechanism responsible for this stage progression, we isolated CD4+ cells from individuals in the chronic (n=19) or acute (n=22) stages of ATL and subjected them to profiling of gene expression with DNA microarrays containing >44,000 probe sets. Changes in chromosome copy number were also examined for 24 cell specimens with the use of microarrays harboring approximately 50,000 probe sets. Stage-dependent changes in gene expression profile and chromosome copy number were apparent. Furthermore, expression of the gene for MET, a receptor tyrosine kinase for hepatocyte growth factor (HGF), was shown to be specific to the acute stage of ATL, and the plasma concentration of HGF was increased in individuals in either the acute or chronic stage. HGF induced proliferation of a MET-positive ATL cell line, and this effect was blocked by antibodies to HGF. The HGF-MET signaling pathway is thus a potential therapeutic target for ATL."}
{"STANDARD_NAME":"WONG_ENDMETRIUM_CANCER_UP","SYSTEMATIC_NAME":"M16201","ORGANISM":"Homo sapiens","PMID":"17043662","AUTHORS":"Wong YF,Cheung TH,Lo KW,Yim SF,Siu NS,Chan SC,Ho TW,Wong KW,Yu MY,Wang VW,Li C,Gardner GJ,Bonome T,Johnson WB,Smith DI,Chung TK,Birrer MJ","EXACT_SOURCE":"Table 1, 2: Fold change > 0","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in cancer endometrium samples compared to the normal endometrium.","DESCRIPTION_FULL":"Endometrial cancer is the third most common gynecologic malignancy and the ninth most common malignancy for females overall in Hong Kong. Approximately 80% or more of these cancers are endometrioid endometrial adenocarcinomas. The aim of this study was to reveal genes contributing to the development of endometrioid endometrial cancer, which may impact diagnosis, prognosis and treatment of the disease. Whole-genome gene expression analysis was completed for a set of 55 microdissected sporadic endometrioid endometrial adenocarcinomas and 29 microdissected normal endometrium specimens using the Affymetrix Human U133 Plus 2.0 oligonucleotide microarray. Selected genes of interest were validated by quantitative real-time-polymerase chain reaction (qRT-PCR). Pathway analysis was performed to reveal gene interactions involved in endometrial tumorigenesis. Unsupervised hierarchical clustering displayed a distinct separation between the endometrioid adenocarcinomas and normal endometrium samples. Supervised analysis identified 117 highly differentially regulated genes (>or=4.0-fold change), which distinguished the endometrial cancer specimens from normal endometrium. Twelve novel genes including DKK4, ZIC1, KIF1A, SAA2, LOC16378, ALPP2, CCL20, CXCL5, BST2, OLFM1, KLRC1 and MBC45780 were deregulated in the endometrial cancer, and further validated in an independent set of 56 cancer and 29 normal samples using qRT-PCR. In addition, 10 genes were differentially regulated in late-stage cancer, as compared to early-stage disease, and may be involved in tumor progression. Pathway analysis of the expression data from this tumor revealed an interconnected network consisting of 21 aberrantly regulated genes involved in angiogenesis, cell proliferation and chromosomal instability. The results of this study highlight the molecular features of endometrioid endometrial cancer and provide insight into the events underlying the development and progression of endometrioid endometrial cancer."}
{"STANDARD_NAME":"WONG_ENDMETRIUM_CANCER_DN","SYSTEMATIC_NAME":"M1311","ORGANISM":"Homo sapiens","PMID":"17043662","AUTHORS":"Wong YF,Cheung TH,Lo KW,Yim SF,Siu NS,Chan SC,Ho TW,Wong KW,Yu MY,Wang VW,Li C,Gardner GJ,Bonome T,Johnson WB,Smith DI,Chung TK,Birrer MJ","EXACT_SOURCE":"Table 1,2: Fold change < 0","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in cancer endometrium samples compared to the normal endometrium.","DESCRIPTION_FULL":"Endometrial cancer is the third most common gynecologic malignancy and the ninth most common malignancy for females overall in Hong Kong. Approximately 80% or more of these cancers are endometrioid endometrial adenocarcinomas. The aim of this study was to reveal genes contributing to the development of endometrioid endometrial cancer, which may impact diagnosis, prognosis and treatment of the disease. Whole-genome gene expression analysis was completed for a set of 55 microdissected sporadic endometrioid endometrial adenocarcinomas and 29 microdissected normal endometrium specimens using the Affymetrix Human U133 Plus 2.0 oligonucleotide microarray. Selected genes of interest were validated by quantitative real-time-polymerase chain reaction (qRT-PCR). Pathway analysis was performed to reveal gene interactions involved in endometrial tumorigenesis. Unsupervised hierarchical clustering displayed a distinct separation between the endometrioid adenocarcinomas and normal endometrium samples. Supervised analysis identified 117 highly differentially regulated genes (>or=4.0-fold change), which distinguished the endometrial cancer specimens from normal endometrium. Twelve novel genes including DKK4, ZIC1, KIF1A, SAA2, LOC16378, ALPP2, CCL20, CXCL5, BST2, OLFM1, KLRC1 and MBC45780 were deregulated in the endometrial cancer, and further validated in an independent set of 56 cancer and 29 normal samples using qRT-PCR. In addition, 10 genes were differentially regulated in late-stage cancer, as compared to early-stage disease, and may be involved in tumor progression. Pathway analysis of the expression data from this tumor revealed an interconnected network consisting of 21 aberrantly regulated genes involved in angiogenesis, cell proliferation and chromosomal instability. The results of this study highlight the molecular features of endometrioid endometrial cancer and provide insight into the events underlying the development and progression of endometrioid endometrial cancer."}
{"STANDARD_NAME":"WONG_ENDOMETRIAL_CANCER_LATE","SYSTEMATIC_NAME":"M9464","ORGANISM":"Homo sapiens","PMID":"17043662","AUTHORS":"Wong YF,Cheung TH,Lo KW,Yim SF,Siu NS,Chan SC,Ho TW,Wong KW,Yu MY,Wang VW,Li C,Gardner GJ,Bonome T,Johnson WB,Smith DI,Chung TK,Birrer MJ","EXACT_SOURCE":"Table 3","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in late stage (stage 3) endometrial cancers compared to the earlier stages (stage 1 and 2).","DESCRIPTION_FULL":"Endometrial cancer is the third most common gynecologic malignancy and the ninth most common malignancy for females overall in Hong Kong. Approximately 80% or more of these cancers are endometrioid endometrial adenocarcinomas. The aim of this study was to reveal genes contributing to the development of endometrioid endometrial cancer, which may impact diagnosis, prognosis and treatment of the disease. Whole-genome gene expression analysis was completed for a set of 55 microdissected sporadic endometrioid endometrial adenocarcinomas and 29 microdissected normal endometrium specimens using the Affymetrix Human U133 Plus 2.0 oligonucleotide microarray. Selected genes of interest were validated by quantitative real-time-polymerase chain reaction (qRT-PCR). Pathway analysis was performed to reveal gene interactions involved in endometrial tumorigenesis. Unsupervised hierarchical clustering displayed a distinct separation between the endometrioid adenocarcinomas and normal endometrium samples. Supervised analysis identified 117 highly differentially regulated genes (>or=4.0-fold change), which distinguished the endometrial cancer specimens from normal endometrium. Twelve novel genes including DKK4, ZIC1, KIF1A, SAA2, LOC16378, ALPP2, CCL20, CXCL5, BST2, OLFM1, KLRC1 and MBC45780 were deregulated in the endometrial cancer, and further validated in an independent set of 56 cancer and 29 normal samples using qRT-PCR. In addition, 10 genes were differentially regulated in late-stage cancer, as compared to early-stage disease, and may be involved in tumor progression. Pathway analysis of the expression data from this tumor revealed an interconnected network consisting of 21 aberrantly regulated genes involved in angiogenesis, cell proliferation and chromosomal instability. The results of this study highlight the molecular features of endometrioid endometrial cancer and provide insight into the events underlying the development and progression of endometrioid endometrial cancer."}
{"STANDARD_NAME":"ABDULRAHMAN_KIDNEY_CANCER_VHL_DN","SYSTEMATIC_NAME":"M2096","ORGANISM":"Homo sapiens","PMID":"17001320","AUTHORS":"Abdulrahman M,Maina EN,Morris MR,Zatyka M,Raval RR,Banks RE,Wiesener MS,Richards FM,Johnson CM,Latif F,Maher ER","EXACT_SOURCE":"table 2","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in the RCC4 cells (renal cell carcinoma, RCC) expressing VHL [GeneID=7428] mutants Type 1 and 2B (associated with RCC) but not those of Type 2A and 2C (not associated with RCC).","DESCRIPTION_FULL":"von Hippel-Lindau (VHL) disease is a dominantly inherited family cancer syndrome characterized by the development of retinal and central nervous system haemangioblastomas, renal cell carcinoma (RCC) and phaeochromocytoma. Specific germline VHL mutations may predispose to haemangioblastomas, RCC and phaeochromocytoma to a varying extent. Although dysregulation of the hypoxia-inducible transcription factor-2 and JunB have been linked to the development of RCC and phaeochromocytoma, respectively, the precise basis for genotype-phenotype correlations in VHL disease have not been defined. To gain insights into the pathogenesis of RCC in VHL disease we compared gene expression microarray profiles in a RCC cell line expressing a Type 1 or Type 2B mutant pVHL (RCC-associated) to those of a Type 2A or 2C mutant (not associated with RCC). We identified 19 differentially expressed novel VHL target genes linked to RCC development. Eight targets were studied in detail by quantitative real-time polymerase chain reaction (three downregulated and five upregulated by wild-type VHL) and for six genes the effect of VHL inactivation was mimicked by hypoxia (but hypoxic-induction of smooth muscle alpha-actin 2 was specific for a RCC cell line). The potential role of four RCC-associated VHL target genes was assessed in vitro. NB thymosin beta (TMSNB) and proteinase-activated receptor 2 (PAR2) (both downregulated by wt pVHL) increased cell growth and motility in a RCC cell line, but aldehyde dehydrogenase (ALDH)1 and ALDH7 had no effect. These findings implicate TMSNB and PAR2 candidate oncogenes in the pathogenesis of VHL-associated RCC."}
{"STANDARD_NAME":"KONG_E2F1_TARGETS","SYSTEMATIC_NAME":"M1156","ORGANISM":"Mus musculus","PMID":"16909124","AUTHORS":"Kong LJ,Chang JT,Bild AH,Nevins JR","EXACT_SOURCE":"Table 1S: induced by E2F1","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in MEF cells (embryonic fibroblast) at 16 h after serum stimulation and knockdown of E2F1 [GeneID=1869] by RNAi.","DESCRIPTION_FULL":"Functions encoded by single genes in lower organisms are often represented by multiple related genes in the mammalian genome. An example is the retinoblastoma and E2F families of proteins that regulate transcription during the cell cycle. Analysis of gene function using germline mutations is often confounded by overlapping function resulting in compensation. Indeed, in cells deleted of the E2F1 or E2F3 genes, there is an increase in the expression of the other family member. To avoid complications of compensatory effects, we have used small-interfering RNAs that target individual E2F proteins to generate a temporary loss of E2F function. We find that both E2F1 and E2F3 are required for cells to enter the S phase from a quiescent state, whereas only E2F3 is necessary for the S phase in growing cells. We also find that the acute loss of E2F3 activity affects the expression of genes encoding DNA replication and mitotic activities, whereas loss of E2F1 affects a limited number of genes that are distinct from those regulated by E2F3. We conclude that the long-term loss of E2F activity does lead to compensation by other family members and that the analysis of acute loss of function reveals specific and distinct roles for these proteins."}
{"STANDARD_NAME":"TANAKA_METHYLATED_IN_ESOPHAGEAL_CARCINOMA","SYSTEMATIC_NAME":"M14455","ORGANISM":"Homo sapiens","PMID":"17438526","AUTHORS":"Tanaka K,Imoto I,Inoue J,Kozaki K,Tsuda H,Shimada Y,Aiko S,Yoshizumi Y,Iwai T,Kawano T,Inazawa J","EXACT_SOURCE":"Table 1S","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with hypermethylated DNA in all four esophageal squamous cell carcinoma (ESCC) lines analyzed.","DESCRIPTION_FULL":"Epigenetic alterations and the resulting inactivation of tumor suppressor genes often contribute to the development of various cancers. To identify novel candidates that may be silenced by aberrant methylation in esophageal squamous-cell carcinoma (ESCC), we analysed ESCC cell lines by a recently developed method known as bacterial artificial chromosome array-based methylated CpG island amplification (BAMCA), and selected candidates through BAMCA-assisted strategy. In the course of this program, we identified frequent CpG methylation-dependent silencing of the gene encoding cellular retinoic acid binding protein 1 (CRABP1) in our panel of ESCC cell lines. Expression of CRABP1 mRNA was restored in gene-silenced ESCC cells after treatment with 5-aza 2'-deoxycytidine. The DNA methylation status of the CRABP1 CpG island with clear promoter activity correlated inversely with expression of this gene. CpG methylation of CRABP1 was frequently observed in primary ESCC tissues as well. Restoration of CRABP1 expression in ESCC cells lacking the protein reduced cell growth by inducing arrest at G(0)-G(1), whereas knockdown of the gene in cells expressing CRABP1 promoted cell growth. Among 113 primary ESCC tumors, the absence of immunoreactive CRABP1 was significantly associated with de-differentiation of cancer cells and with distant lymph-node metastases in the patients. These results indicate that CRABP1 appears to have a tumor-suppressor function in esophageal epithelium, and its epigenetic silencing may play a pivotal role during esophageal carcinogenesis. Its expression status in biopsies or resected tumors might serve as an index for identifying ESCC patients for whom combined therapeutic modalities would be recommended."}
{"STANDARD_NAME":"MARKS_ACETYLATED_NON_HISTONE_PROTEINS","SYSTEMATIC_NAME":"M1160","ORGANISM":"Homo sapiens","PMID":"17322921","AUTHORS":"Marks PA","EXACT_SOURCE":"Table 1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Non-histone proteins that are acetylated.","DESCRIPTION_FULL":"The path to the discovery of suberoylanilide hydroxamic acid (SAHA, vorinostat) began over three decades ago with our studies designed to understand why dimethylsulfoxide causes terminal differentiation of the virus-transformed cells, murine erythroleukemia cells. SAHA can cause growth arrest and death of a broad variety of transformed cells both in vitro and in vivo at concentrations that have little or no toxic effects on normal cells. It was discovered that SAHA inhibits the activity of histone deacetylases (HDACs), including all 11 known human class I and class II HDACs. HDACs have many protein targets whose structure and function are altered by acetylation including histones and non-histone proteins component of transcription factors controlling gene expression and proteins that regulate cell proliferation, migration and death. SAHA is in clinical trials and has significant anticancer activity against both hematologic and solid tumors at doses well tolerated by patients. A new drug application has been approved for SAHA (vorinostat) treatment of cutaneous T-cell lymphoma."}
{"STANDARD_NAME":"IVANOV_MUTATED_IN_COLON_CANCER","SYSTEMATIC_NAME":"M5989","ORGANISM":"Homo sapiens","PMID":"17086209","AUTHORS":"Ivanov I,Lo KC,Hawthorn L,Cowell JK,Ionov Y","GEOID":"GSE5486","EXACT_SOURCE":"Table 2","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes mutated in colon cancer cell lines, identified using the GINI method described in the paper.","DESCRIPTION_FULL":"Inhibition of the nonsense-mediated decay (NMD) mechanism in cells results in stabilization of transcripts carrying premature translation termination codons. A strategy referred to as gene identification by NMD inhibition (GINI) has been proposed to identify genes carrying nonsense mutations. Genes containing frameshift mutations in colon cancer cell line have been identified using a modified version of GINI. To increase the efficiency of identifying mutant genes using GINI, we have now further improved the strategy. In this approach, inhibition of NMD with emetine is complemented with inhibiting NMD by blocking the phosphorylation of the hUpf1 protein with caffeine. In addition, to enhance the GINI strategy, comparing mRNA level alterations produced by inhibiting transcription alone or inhibiting transcription together with NMD following caffeine pretreatment were used for the efficient identification of false positives produced as a result of stress response to NMD inhibition. To demonstrate the improved efficiency of this approach, we analysed colon cancer cell lines showing microsatellite instability. Bi-allelic inactivating mutations were found in the FXR1, SEC31L1, NCOR1, BAT3, PHF14, ZNF294, C19ORF5 genes as well as genes coding for proteins with yet unknown functions."}
{"STANDARD_NAME":"TAKAYAMA_BOUND_BY_AR","SYSTEMATIC_NAME":"M5315","ORGANISM":"Homo sapiens","PMID":"17297473","AUTHORS":"Takayama K,Kaneshiro K,Tsutsumi S,Horie-Inoue K,Ikeda K,Urano T,Ijichi N,Ouchi Y,Shirahige K,Aburatani H,Inoue S","EXACT_SOURCE":"Table 1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes whose promoters bound AR [GeneID=367] in LNCaP cells (prostate cancer) after exposure to the synthetic androgen R1881 [PubChem=13766], based on ChIP-chip analysis.","DESCRIPTION_FULL":"The androgen receptor (AR) plays a key role as a transcriptional factor in prostate development and carcinogenesis. Identification of androgen-regulated genes is essential to elucidate the AR pathophysiology in prostate cancer. Here, we identified androgen target genes that are directly regulated by AR in LNCaP cells, by combining chromatin immunoprecipitation (ChIP) with tiling microarrays (ChIP-chip). ChIP-enriched or control DNAs from the cells treated with R1881 were hybridized with the ENCODE array, in which a set of regions representing approximately 1% of the whole genome. We chose 10 bona fide AR-binding sites (ARBSs) (P<1e-5) and validated their significant AR recruitment ligand dependently. Eight upregulated genes by R1881 were identified in the vicinity of the ARBSs. Among the upregulated genes, we focused on UGT1A and CDH2 as AR target genes, because the ARBSs close to these genes (in UGT1A distal promoter and CDH2 intron 1) were most significantly associated with acetylated histone H3/H4, RNA polymerase II and p160 family co-activators. Luciferase reporter constructs including those two ARBSs exhibited ligand-dependent transcriptional regulator/enhancer activities. The present study would be powerful to extend our knowledge of the diversity of androgen genetic network and steroid action in prostate cancer cells."}
{"STANDARD_NAME":"RIZ_ERYTHROID_DIFFERENTIATION_HBZ","SYSTEMATIC_NAME":"M802","ORGANISM":"Mus musculus","PMID":"17213805","AUTHORS":"Riz I,Akimov SS,Eaker SS,Baxter KK,Lee HJ,Mariño-Ramírez L,Landsman D,Hawley TS,Hawley RG","EXACT_SOURCE":"Table 3S","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Selected gradually up-regulated genes whose expression profile follows that of HBZ [GeneID=3050] in the TLX1 [GeneID=3195] Tet On iEBHX15-4 cells (pro-erythroblasts).","DESCRIPTION_FULL":"Aberrant expression of the human homeobox-containing proto-oncogene TLX1/HOX11 inhibits hematopoietic differentiation programs in a number of murine model systems. Here, we report the establishment of a murine erythroid progenitor cell line, iEBHX1S-4, developmentally arrested by regulatable TLX1 expression. Extinction of TLX1 expression released the iEBHX1S-4 differentiation block, allowing erythropoietin-dependent acquisition of erythroid markers and hemoglobin synthesis. Coordinated activation of erythroid transcriptional networks integrated by the acetyltransferase co-activator CREB-binding protein (CBP) was suggested by bioinformatic analysis of the upstream regulatory regions of several conditionally induced iEBHX1S-4 gene sets. In accord with this notion, CBP-associated acetylation of GATA-1, an essential regulator of erythroid differentiation, increased concomitantly with TLX1 downregulation. Coimmunoprecipitation experiments and glutathione-S-transferase pull-down assays revealed that TLX1 directly binds to CBP, and confocal laser microscopy demonstrated that the two proteins partially colocalize at intranuclear sites in iEBHX1S-4 cells. Notably, the distribution of CBP in conditionally blocked iEBHX1S-4 cells partially overlapped with chromatin marked by a repressive histone methylation pattern, and downregulation of TLX1 coincided with exit of CBP from these heterochromatic regions. Thus, we propose that TLX1-mediated differentiation arrest may be achieved in part through a mechanism that involves redirection of CBP and/or its sequestration in repressive chromatin domains."}
{"STANDARD_NAME":"LASTOWSKA_NEUROBLASTOMA_COPY_NUMBER_UP","SYSTEMATIC_NAME":"M4203","ORGANISM":"Homo sapiens","PMID":"17533364","AUTHORS":"Łastowska M,Viprey V,Santibanez-Koref M,Wappler I,Peters H,Cullinane C,Roberts P,Hall AG,Tweddle DA,Pearson AD,Lewis I,Burchill SA,Jackson MS","GEOID":"GSE13141","EXACT_SOURCE":"Table 2S: gain","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with copy number gains in primary neuroblastoma tumors.","DESCRIPTION_FULL":"Identifying genes, whose expression is consistently altered by chromosomal gains or losses, is an important step in defining genes of biological relevance in a wide variety of tumour types. However, additional criteria are needed to discriminate further among the large number of candidate genes identified. This is particularly true for neuroblastoma, where multiple genomic copy number changes of proven prognostic value exist. We have used Affymetrix microarrays and a combination of fluorescent in situ hybridization and single nucleotide polymorphism (SNP) microarrays to establish expression profiles and delineate copy number alterations in 30 primary neuroblastomas. Correlation of microarray data with patient survival and analysis of expression within rodent neuroblastoma cell lines were then used to define further genes likely to be involved in the disease process. Using this approach, we identify >1000 genes within eight recurrent genomic alterations (loss of 1p, 3p, 4p, 10q and 11q, 2p gain, 17q gain, and the MYCN amplicon) whose expression is consistently altered by copy number change. Of these, 84 correlate with patient survival, with the minimal regions of 17q gain and 4p loss being enriched significantly for such genes. These include genes involved in RNA and DNA metabolism, and apoptosis. Orthologues of all but one of these genes on 17q are overexpressed in rodent neuroblastoma cell lines. A significant excess of SNPs whose copy number correlates with survival is also observed on proximal 4p in stage 4 tumours, and we find that deletion of 4p is associated with improved outcome in an extended cohort of tumours. These results define the major impact of genomic copy number alterations upon transcription within neuroblastoma, and highlight genes on distal 17q and proximal 4p for downstream analyses. They also suggest that integration of discriminators, such as survival and comparative gene expression, with microarray data may be useful in the identification of critical genes within regions of loss or gain in many human cancers."}
{"STANDARD_NAME":"LASTOWSKA_NEUROBLASTOMA_COPY_NUMBER_DN","SYSTEMATIC_NAME":"M14594","ORGANISM":"Homo sapiens","PMID":"17533364","AUTHORS":"Łastowska M,Viprey V,Santibanez-Koref M,Wappler I,Peters H,Cullinane C,Roberts P,Hall AG,Tweddle DA,Pearson AD,Lewis I,Burchill SA,Jackson MS","GEOID":"GSE13141","EXACT_SOURCE":"Table 3S: loss","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with copy number losses in primary neuroblastoma tumors.","DESCRIPTION_FULL":"Identifying genes, whose expression is consistently altered by chromosomal gains or losses, is an important step in defining genes of biological relevance in a wide variety of tumour types. However, additional criteria are needed to discriminate further among the large number of candidate genes identified. This is particularly true for neuroblastoma, where multiple genomic copy number changes of proven prognostic value exist. We have used Affymetrix microarrays and a combination of fluorescent in situ hybridization and single nucleotide polymorphism (SNP) microarrays to establish expression profiles and delineate copy number alterations in 30 primary neuroblastomas. Correlation of microarray data with patient survival and analysis of expression within rodent neuroblastoma cell lines were then used to define further genes likely to be involved in the disease process. Using this approach, we identify >1000 genes within eight recurrent genomic alterations (loss of 1p, 3p, 4p, 10q and 11q, 2p gain, 17q gain, and the MYCN amplicon) whose expression is consistently altered by copy number change. Of these, 84 correlate with patient survival, with the minimal regions of 17q gain and 4p loss being enriched significantly for such genes. These include genes involved in RNA and DNA metabolism, and apoptosis. Orthologues of all but one of these genes on 17q are overexpressed in rodent neuroblastoma cell lines. A significant excess of SNPs whose copy number correlates with survival is also observed on proximal 4p in stage 4 tumours, and we find that deletion of 4p is associated with improved outcome in an extended cohort of tumours. These results define the major impact of genomic copy number alterations upon transcription within neuroblastoma, and highlight genes on distal 17q and proximal 4p for downstream analyses. They also suggest that integration of discriminators, such as survival and comparative gene expression, with microarray data may be useful in the identification of critical genes within regions of loss or gain in many human cancers."}
{"STANDARD_NAME":"RIZ_ERYTHROID_DIFFERENTIATION_HEMGN","SYSTEMATIC_NAME":"M7999","ORGANISM":"Mus musculus","PMID":"17213805","AUTHORS":"Riz I,Akimov SS,Eaker SS,Baxter KK,Lee HJ,Mariño-Ramírez L,Landsman D,Hawley TS,Hawley RG","EXACT_SOURCE":"Table 4S","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Selected gradually up-regulated genes whose expression profile follows that of HEMGN [GeneID=55363] in the TLX1 [GeneID=3195] Tet On iEBHX15-4 cells (pro-erythroblasts).","DESCRIPTION_FULL":"Aberrant expression of the human homeobox-containing proto-oncogene TLX1/HOX11 inhibits hematopoietic differentiation programs in a number of murine model systems. Here, we report the establishment of a murine erythroid progenitor cell line, iEBHX1S-4, developmentally arrested by regulatable TLX1 expression. Extinction of TLX1 expression released the iEBHX1S-4 differentiation block, allowing erythropoietin-dependent acquisition of erythroid markers and hemoglobin synthesis. Coordinated activation of erythroid transcriptional networks integrated by the acetyltransferase co-activator CREB-binding protein (CBP) was suggested by bioinformatic analysis of the upstream regulatory regions of several conditionally induced iEBHX1S-4 gene sets. In accord with this notion, CBP-associated acetylation of GATA-1, an essential regulator of erythroid differentiation, increased concomitantly with TLX1 downregulation. Coimmunoprecipitation experiments and glutathione-S-transferase pull-down assays revealed that TLX1 directly binds to CBP, and confocal laser microscopy demonstrated that the two proteins partially colocalize at intranuclear sites in iEBHX1S-4 cells. Notably, the distribution of CBP in conditionally blocked iEBHX1S-4 cells partially overlapped with chromatin marked by a repressive histone methylation pattern, and downregulation of TLX1 coincided with exit of CBP from these heterochromatic regions. Thus, we propose that TLX1-mediated differentiation arrest may be achieved in part through a mechanism that involves redirection of CBP and/or its sequestration in repressive chromatin domains."}
{"STANDARD_NAME":"RIZ_ERYTHROID_DIFFERENTIATION_APOBEC2","SYSTEMATIC_NAME":"M15638","ORGANISM":"Mus musculus","PMID":"17213805","AUTHORS":"Riz I,Akimov SS,Eaker SS,Baxter KK,Lee HJ,Mariño-Ramírez L,Landsman D,Hawley TS,Hawley RG","EXACT_SOURCE":"Table 5S","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Selected genes whose expression profile follows that of APOBEC2 [GeneID=10930] in the TLX1 [GeneID=3195] Tet On iEBHX15-4 cells (pro-erythroblasts).","DESCRIPTION_FULL":"Aberrant expression of the human homeobox-containing proto-oncogene TLX1/HOX11 inhibits hematopoietic differentiation programs in a number of murine model systems. Here, we report the establishment of a murine erythroid progenitor cell line, iEBHX1S-4, developmentally arrested by regulatable TLX1 expression. Extinction of TLX1 expression released the iEBHX1S-4 differentiation block, allowing erythropoietin-dependent acquisition of erythroid markers and hemoglobin synthesis. Coordinated activation of erythroid transcriptional networks integrated by the acetyltransferase co-activator CREB-binding protein (CBP) was suggested by bioinformatic analysis of the upstream regulatory regions of several conditionally induced iEBHX1S-4 gene sets. In accord with this notion, CBP-associated acetylation of GATA-1, an essential regulator of erythroid differentiation, increased concomitantly with TLX1 downregulation. Coimmunoprecipitation experiments and glutathione-S-transferase pull-down assays revealed that TLX1 directly binds to CBP, and confocal laser microscopy demonstrated that the two proteins partially colocalize at intranuclear sites in iEBHX1S-4 cells. Notably, the distribution of CBP in conditionally blocked iEBHX1S-4 cells partially overlapped with chromatin marked by a repressive histone methylation pattern, and downregulation of TLX1 coincided with exit of CBP from these heterochromatic regions. Thus, we propose that TLX1-mediated differentiation arrest may be achieved in part through a mechanism that involves redirection of CBP and/or its sequestration in repressive chromatin domains."}
{"STANDARD_NAME":"RIZ_ERYTHROID_DIFFERENTIATION_6HR","SYSTEMATIC_NAME":"M1854","ORGANISM":"Mus musculus","PMID":"17213805","AUTHORS":"Riz I,Akimov SS,Eaker SS,Baxter KK,Lee HJ,Mariño-Ramírez L,Landsman D,Hawley TS,Hawley RG","EXACT_SOURCE":"Table 6S","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Selected genes down-regulated in the TLX1 [GeneID=3195] Tet On iEBHX15-4 cells (pro-erythroblasts) at 6 h time point.","DESCRIPTION_FULL":"Aberrant expression of the human homeobox-containing proto-oncogene TLX1/HOX11 inhibits hematopoietic differentiation programs in a number of murine model systems. Here, we report the establishment of a murine erythroid progenitor cell line, iEBHX1S-4, developmentally arrested by regulatable TLX1 expression. Extinction of TLX1 expression released the iEBHX1S-4 differentiation block, allowing erythropoietin-dependent acquisition of erythroid markers and hemoglobin synthesis. Coordinated activation of erythroid transcriptional networks integrated by the acetyltransferase co-activator CREB-binding protein (CBP) was suggested by bioinformatic analysis of the upstream regulatory regions of several conditionally induced iEBHX1S-4 gene sets. In accord with this notion, CBP-associated acetylation of GATA-1, an essential regulator of erythroid differentiation, increased concomitantly with TLX1 downregulation. Coimmunoprecipitation experiments and glutathione-S-transferase pull-down assays revealed that TLX1 directly binds to CBP, and confocal laser microscopy demonstrated that the two proteins partially colocalize at intranuclear sites in iEBHX1S-4 cells. Notably, the distribution of CBP in conditionally blocked iEBHX1S-4 cells partially overlapped with chromatin marked by a repressive histone methylation pattern, and downregulation of TLX1 coincided with exit of CBP from these heterochromatic regions. Thus, we propose that TLX1-mediated differentiation arrest may be achieved in part through a mechanism that involves redirection of CBP and/or its sequestration in repressive chromatin domains."}
{"STANDARD_NAME":"RIZ_ERYTHROID_DIFFERENTIATION_12HR","SYSTEMATIC_NAME":"M4389","ORGANISM":"Mus musculus","PMID":"17213805","AUTHORS":"Riz I,Akimov SS,Eaker SS,Baxter KK,Lee HJ,Mariño-Ramírez L,Landsman D,Hawley TS,Hawley RG","EXACT_SOURCE":"Table 7S","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Selected genes down-regulated in the TLX1 [GeneID=3195] Tet On iEBHX15-4 cells (pro-erythroblasts) at 12 h time point.","DESCRIPTION_FULL":"Aberrant expression of the human homeobox-containing proto-oncogene TLX1/HOX11 inhibits hematopoietic differentiation programs in a number of murine model systems. Here, we report the establishment of a murine erythroid progenitor cell line, iEBHX1S-4, developmentally arrested by regulatable TLX1 expression. Extinction of TLX1 expression released the iEBHX1S-4 differentiation block, allowing erythropoietin-dependent acquisition of erythroid markers and hemoglobin synthesis. Coordinated activation of erythroid transcriptional networks integrated by the acetyltransferase co-activator CREB-binding protein (CBP) was suggested by bioinformatic analysis of the upstream regulatory regions of several conditionally induced iEBHX1S-4 gene sets. In accord with this notion, CBP-associated acetylation of GATA-1, an essential regulator of erythroid differentiation, increased concomitantly with TLX1 downregulation. Coimmunoprecipitation experiments and glutathione-S-transferase pull-down assays revealed that TLX1 directly binds to CBP, and confocal laser microscopy demonstrated that the two proteins partially colocalize at intranuclear sites in iEBHX1S-4 cells. Notably, the distribution of CBP in conditionally blocked iEBHX1S-4 cells partially overlapped with chromatin marked by a repressive histone methylation pattern, and downregulation of TLX1 coincided with exit of CBP from these heterochromatic regions. Thus, we propose that TLX1-mediated differentiation arrest may be achieved in part through a mechanism that involves redirection of CBP and/or its sequestration in repressive chromatin domains."}
{"STANDARD_NAME":"PEREZ_TP53_TARGETS","SYSTEMATIC_NAME":"M4391","ORGANISM":"Homo sapiens","PMID":"17563751","AUTHORS":"Perez CA,Ott J,Mays DJ,Pietenpol JA","EXACT_SOURCE":"Table 3S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in the HMEC cells (primary mammary epithelium) upon expression of TP53 [GeneID=7157] off adenoviral vector.","DESCRIPTION_FULL":"p53 and p63 belong to a family of sequence-specific transcription factors regulating key cellular processes. Differential composition of the p53 and p63 DNA-binding sites may contribute to distinct functions of these protein homologues. We used SELEX (systematic evolution of ligands by exponential enrichment) methodology to identify nucleic acid ligands for p63. We found that p63 bound preferentially to DNA fragments conforming to the 20 bp sequence 5'-RRRC(A/G)(A/T)GYYYRRRC(A/T)(C/T)GYYY-3'. Relative to the p53 consensus, the p63 consensus DNA-binding site (DBS) was more degenerate, particularly at positions 10 and 11, and was enriched for A/G at position 5 and C/T at position 16 of the consensus. The differences in DNA-binding site preferences between p63 and p53 influenced their ability to activate transcription from select response elements (REs) in cells. A computer algorithm, p63MH, was developed to find candidate p63-binding motifs on input sequences. We identified genes responsive to p63 regulation that contain functional p63 REs. Our results suggest that the sequence composition of REs could be one contributing factor to target gene discrimination between p63 and p53."}
{"STANDARD_NAME":"PEREZ_TP63_TARGETS","SYSTEMATIC_NAME":"M10761","ORGANISM":"Homo sapiens","PMID":"17563751","AUTHORS":"Perez CA,Ott J,Mays DJ,Pietenpol JA","EXACT_SOURCE":"Table 2S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in the HMEC cells (primary mammary epithelium) upon expression of the transcriptionally active isoform of TP63 [GeneID=8626] off adenoviral vector.","DESCRIPTION_FULL":"p53 and p63 belong to a family of sequence-specific transcription factors regulating key cellular processes. Differential composition of the p53 and p63 DNA-binding sites may contribute to distinct functions of these protein homologues. We used SELEX (systematic evolution of ligands by exponential enrichment) methodology to identify nucleic acid ligands for p63. We found that p63 bound preferentially to DNA fragments conforming to the 20 bp sequence 5'-RRRC(A/G)(A/T)GYYYRRRC(A/T)(C/T)GYYY-3'. Relative to the p53 consensus, the p63 consensus DNA-binding site (DBS) was more degenerate, particularly at positions 10 and 11, and was enriched for A/G at position 5 and C/T at position 16 of the consensus. The differences in DNA-binding site preferences between p63 and p53 influenced their ability to activate transcription from select response elements (REs) in cells. A computer algorithm, p63MH, was developed to find candidate p63-binding motifs on input sequences. We identified genes responsive to p63 regulation that contain functional p63 REs. Our results suggest that the sequence composition of REs could be one contributing factor to target gene discrimination between p63 and p53."}
{"STANDARD_NAME":"PEREZ_TP53_AND_TP63_TARGETS","SYSTEMATIC_NAME":"M14566","ORGANISM":"Homo sapiens","PMID":"17563751","AUTHORS":"Perez CA,Ott J,Mays DJ,Pietenpol JA","EXACT_SOURCE":"Table 4S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in HMEC cells (primary mammary epithelium) upon expression of both of TP53 [GeneID=7157] and the transcriptionally active isoform of TP63 [GeneID=8626] off adenoviral vectors.","DESCRIPTION_FULL":"p53 and p63 belong to a family of sequence-specific transcription factors regulating key cellular processes. Differential composition of the p53 and p63 DNA-binding sites may contribute to distinct functions of these protein homologues. We used SELEX (systematic evolution of ligands by exponential enrichment) methodology to identify nucleic acid ligands for p63. We found that p63 bound preferentially to DNA fragments conforming to the 20 bp sequence 5'-RRRC(A/G)(A/T)GYYYRRRC(A/T)(C/T)GYYY-3'. Relative to the p53 consensus, the p63 consensus DNA-binding site (DBS) was more degenerate, particularly at positions 10 and 11, and was enriched for A/G at position 5 and C/T at position 16 of the consensus. The differences in DNA-binding site preferences between p63 and p53 influenced their ability to activate transcription from select response elements (REs) in cells. A computer algorithm, p63MH, was developed to find candidate p63-binding motifs on input sequences. We identified genes responsive to p63 regulation that contain functional p63 REs. Our results suggest that the sequence composition of REs could be one contributing factor to target gene discrimination between p63 and p53."}
{"STANDARD_NAME":"RODRIGUES_NTN1_AND_DCC_TARGETS","SYSTEMATIC_NAME":"M3346","ORGANISM":"Homo sapiens","PMID":"17334389","AUTHORS":"Rodrigues S,De Wever O,Bruyneel E,Rooney RJ,Gespach C","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in HCT8/S11 cells (colon cancer) which lack DCC [GeneID=9423] and stably express NTN1 [GeneID=1630].","DESCRIPTION_FULL":"Deleted in colon cancer (DCC) and UNC5 function as netrin dependence receptors by inducing apoptosis in the absence of their ligand and accordingly were recently designated as putative conditional tumor suppressors. Herein, we determined whether netrin-1 and its receptors are implicated in cancer cell invasion and tumor progression. Expression of DCC, UNC5 and adenosine A2B-receptors (A2B-Rs) was investigated by reverse transcription polymerase chain reaction in human colon cancer cells. The impact of DCC restitution and netrin-1 was evaluated on collagen type I invasion, tumor growth and metastasis in nude mice, cancer cell survival and gene expression profiling. Flow cytometry, poly(ADP-ribose)polymerase-1 and caspase-8 activation were used to evaluate the impact of DCC on cell death. Both netrin-1 and A2B-R activation induced the invasive phenotype through the Rho-Rho kinase axis in DCC-deficient human colorectal cancer cells. Restitution of wild-type DCC blocked invasion induced by netrin-1, A2B-R agonist and other agents. Ectopic expression of netrin-1 led to increased growth of human colon tumor xenografts in athymic mice. Conversely, introduction of wt-DCC in kidney MDCKts.src-ggl cells strongly inhibited metastasis in lymph nodes and lungs and increased sensitivity to apoptosis in hypoxia. DNA microarrays revealed that netrin and DCC had common and divergent impacts on gene expression linked to cell cycle, survival, surface signaling and adhesion. Our findings underscore that netrin is a potent invasion and tumor growth-promoting agent and that DCC is a metastasis suppressor gene targeting both proinvasive and survival pathways in a cumulative manner."}
{"STANDARD_NAME":"APPIERTO_RESPONSE_TO_FENRETINIDE_UP","SYSTEMATIC_NAME":"M1546","ORGANISM":"Homo sapiens","PMID":"17213814","AUTHORS":"Appierto V,Villani MG,Cavadini E,Gariboldi M,De Cecco L,Pierotti MA,Lambert JR,Reid J,Tiberio P,Colombo N,Formelli F","EXACT_SOURCE":"Table 1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in A2780 cells (ovarian carcinoma) exposed to fenretinide [PubChem=1744].","DESCRIPTION_FULL":"Fenretinide (4-HPR) is a synthetic retinoid with antitumor activity, which induces apoptosis in cancer cell lines of different histotypes. To identify genes contributing to its apoptotic activity in ovarian cancer cells, we monitored, by cDNA arrays, gene expression changes after 4-HPR exposure in A2780, a human ovarian carcinoma cell line sensitive to the retinoid. Among the differentially expressed transcripts, PLAcental Bone morphogenetic protein (PLAB), a proapoptotic gene, was the most highly induced. In a panel of ovarian carcinoma cell lines with different 4-HPR sensitivities, PLAB upregulation was associated with cellular response to 4-HPR, its overexpression increased basal apoptosis and its silencing by small interfering RNA decreased the ability of 4-HPR to induce apoptosis. PLAB induction by 4-HPR was p53- and EGR-1 independent and was regulated, at least in part, by increased stability of PLAB mRNA. PLAB up-modulation by 4-HPR also occurred in vivo: in ascitic cells collected from patients with ovarian cancer before and after 4-HPR treatment, PLAB was upmodulated in 2/4 patients. Our results in certain ovarian cancer cell lines indicate a role for PLAB as a mediator of 4-HPR-induced apoptosis. The correlation of increased PLAB in vivo with antitumor activity remains to be established."}
{"STANDARD_NAME":"NAGY_TFTC_COMPONENTS_HUMAN","SYSTEMATIC_NAME":"M2974","ORGANISM":"Homo sapiens","PMID":"17694077","AUTHORS":"Nagy Z,Tora L","EXACT_SOURCE":"Table 1: hTFTC","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Composition of the 2 MDa human TFTC complex containing KAT2A [GeneID=2648].","DESCRIPTION_FULL":"Transcription in eukaryotes is a tightly regulated, multistep process. Gene-specific transcriptional activators, several different co-activators and general transcription factors are necessary to access specific loci to allow precise initiation of RNA polymerase II transcription. As the dense chromatin folding of the genome does not allow the access of these sites by the huge multiprotein transcription machinery, remodelling is required to loosen up the chromatin structure for successful transcription initiation. In the present review, we summarize the recent evolution of our understanding of the function of two histone acetyl transferases (ATs) from metazoan organisms: GCN5 and PCAF. Their overall structure and the multiprotein complexes in which they are carrying out their activities are discussed. Metazoan GCN5 and PCAF are subunits of at least two types of multiprotein complexes, one having a molecular weight of 2 MDa (SPT3-TAF9-GCN5 acetyl transferase/TATA binding protein (TBP)-free-TAF complex/PCAF complexes) and a second type with about a size of 700 kDa (ATAC complex). These complexes possess global histone acetylation activity and locus-specific co-activator functions together with AT activity on non-histone substrates. Thus, their biological functions cover a wide range of tasks and render them indispensable for the normal function of cells. That deregulation of the global and/or specific AT activities of these complexes leads to the cancerous transformation of the cells highlights their importance in cellular processes. The possible effects of GCN5 and PCAF in tumorigenesis are also discussed."}
{"STANDARD_NAME":"NAGY_STAGA_COMPONENTS_HUMAN","SYSTEMATIC_NAME":"M10514","ORGANISM":"Homo sapiens","PMID":"17694077","AUTHORS":"Nagy Z,Tora L","EXACT_SOURCE":"Table 1: hSTAGA","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Composition of the 2 MDa human STAGA complex containing KAT2A [GeneID=2648].","DESCRIPTION_FULL":"Transcription in eukaryotes is a tightly regulated, multistep process. Gene-specific transcriptional activators, several different co-activators and general transcription factors are necessary to access specific loci to allow precise initiation of RNA polymerase II transcription. As the dense chromatin folding of the genome does not allow the access of these sites by the huge multiprotein transcription machinery, remodelling is required to loosen up the chromatin structure for successful transcription initiation. In the present review, we summarize the recent evolution of our understanding of the function of two histone acetyl transferases (ATs) from metazoan organisms: GCN5 and PCAF. Their overall structure and the multiprotein complexes in which they are carrying out their activities are discussed. Metazoan GCN5 and PCAF are subunits of at least two types of multiprotein complexes, one having a molecular weight of 2 MDa (SPT3-TAF9-GCN5 acetyl transferase/TATA binding protein (TBP)-free-TAF complex/PCAF complexes) and a second type with about a size of 700 kDa (ATAC complex). These complexes possess global histone acetylation activity and locus-specific co-activator functions together with AT activity on non-histone substrates. Thus, their biological functions cover a wide range of tasks and render them indispensable for the normal function of cells. That deregulation of the global and/or specific AT activities of these complexes leads to the cancerous transformation of the cells highlights their importance in cellular processes. The possible effects of GCN5 and PCAF in tumorigenesis are also discussed."}
{"STANDARD_NAME":"NAGY_PCAF_COMPONENTS_HUMAN","SYSTEMATIC_NAME":"M5039","ORGANISM":"Homo sapiens","PMID":"17694077","AUTHORS":"Nagy Z,Tora L","EXACT_SOURCE":"Table 1: hPCAF","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Composition of the 2 MDa human PCAF complex.","DESCRIPTION_FULL":"Transcription in eukaryotes is a tightly regulated, multistep process. Gene-specific transcriptional activators, several different co-activators and general transcription factors are necessary to access specific loci to allow precise initiation of RNA polymerase II transcription. As the dense chromatin folding of the genome does not allow the access of these sites by the huge multiprotein transcription machinery, remodelling is required to loosen up the chromatin structure for successful transcription initiation. In the present review, we summarize the recent evolution of our understanding of the function of two histone acetyl transferases (ATs) from metazoan organisms: GCN5 and PCAF. Their overall structure and the multiprotein complexes in which they are carrying out their activities are discussed. Metazoan GCN5 and PCAF are subunits of at least two types of multiprotein complexes, one having a molecular weight of 2 MDa (SPT3-TAF9-GCN5 acetyl transferase/TATA binding protein (TBP)-free-TAF complex/PCAF complexes) and a second type with about a size of 700 kDa (ATAC complex). These complexes possess global histone acetylation activity and locus-specific co-activator functions together with AT activity on non-histone substrates. Thus, their biological functions cover a wide range of tasks and render them indispensable for the normal function of cells. That deregulation of the global and/or specific AT activities of these complexes leads to the cancerous transformation of the cells highlights their importance in cellular processes. The possible effects of GCN5 and PCAF in tumorigenesis are also discussed."}
{"STANDARD_NAME":"SEIDEN_MET_SIGNALING","SYSTEMATIC_NAME":"M16468","ORGANISM":"Homo sapiens","PMID":"16158056","AUTHORS":"Seiden-Long IM,Brown KR,Shih W,Wigle DA,Radulovich N,Jurisica I,Tsao MS","EXACT_SOURCE":"Table 1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated both in vivo and in vitro upon activation of MET [GeneID=4233] signaling.","DESCRIPTION_FULL":"Both Ki-ras mutation and hepatocyte growth factor (HGF) receptor Met overexpression occur at high frequency in colon cancer. This study investigates the transcriptional changes induced by Ki-ras oncogene and HGF/Met signaling activation in colon cancer cell lines in vitro and in vivo. The model system used in these studies included the DLD-1 colon cancer cell line with a mutated Ki-ras allele, and the DKO-4 cell line generated from DLD-1, with its mutant Ki-ras allele inactivated by targeted disruption. These cell lines were transduced with cDNAs of full-length Met receptor. Microarray transcriptional profiling was conducted on cell lines stimulated with HGF, as well as on tumor xenograft tissues. Overlapping genes between in vitro and in vivo microarray data sets were selected as a subset of HGF/Met and Ki-ras oncogene-regulated targets. Using the Online Predicted Human Interaction Database, novel HGF/Met and Ki-ras regulated proteins with putative functional linkage were identified. Novel proteins identified included histone acetyltransferase 1, phosphoribosyl pyrophosphate synthetase 2, chaperonin containing TCP1, subunit 8, CSE1 chromosome segregation 1-like (yeast)/cellular apoptosis susceptibility (mammals), CCR4-NOT transcription complex, subunit 8, and cyclin H. Transcript levels for these Met-signaling targets were correlated with Met expression levels, and were significantly elevated in both primary and metastatic human colorectal cancer samples compared to normal colorectal mucosa. These genes represent novel Met and/or Ki-ras transcriptionally coregulated genes with a high degree of validation in human colorectal cancers."}
{"STANDARD_NAME":"AUNG_GASTRIC_CANCER","SYSTEMATIC_NAME":"M4322","ORGANISM":"Homo sapiens","PMID":"16331256","AUTHORS":"Aung PP,Oue N,Mitani Y,Nakayama H,Yoshida K,Noguchi T,Bosserhoff AK,Yasui W","GEOID":"GSE545","EXACT_SOURCE":"Table 1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Selected genes specifically expressed in gastric cancer.","DESCRIPTION_FULL":"Gastric cancer (GC) is one of the most common malignancies worldwide. Genes expressed only in cancer tissue will be useful molecular markers for diagnosis and may also be good therapeutic targets. However, little is known about cancer-specific genes, at least in GC. In this study, we searched for GC-specific genes by serial analysis of gene expression (SAGE) data analysis and quantitative reverse transcription (RT)-PCR. Comparing GC SAGE libraries with those of various normal tissues in the SAGEmap database, we identified 54 candidate GC-specific genes. Quantitative RT-PCR analysis of these candidates revealed that APin protein (APIN), taxol resistance-associated gene 3 (TRAG3), cytochrome P450, family 2, subfamily W, polypeptide 1 (CYP2W1), melanoma inhibitory activity (MIA), matrix metalloproteinase-10 (MMP-10), dickkopf homolog 4 (DKK4), GW112, regenerating islet-derived family, member 4 (REGIV), and HORMA domain-containing 1 (HORMAD1) were expressed much more highly in GC than in 14 kinds of normal tissues. Immunohistochemical staining for MIA, MMP-10, and DKK4 was found in 47 (31.1%), 68 (45.0%), and two (1.3%) of 151 GCs, respectively, and staining for both MIA and MMP-10 was correlated with poor prognosis in advanced GC (P=0.0001 and 0.0141, respectively). Moreover, enzyme-linked immunosorbent assay showed high levels of MMP-10 (65/69, 94.2%) in serum samples from patients with GC. Levels of MIA were raised in a small proportion of serum samples from patients with GC (4/69, 5.8%). In Boyden chamber invasion assays, MIA-transfected GC cells were up to three times more invasive than cells transfected with empty vector. Taken together, these results suggest that MMP-10 is a good marker for the detection of GC and that MIA and MMP-10 are prognostic factors for GC. As expression of MIA and MMP-10 is narrowly restricted in cancer, these two molecules may be good therapeutic targets for GC."}
{"STANDARD_NAME":"NAKAMURA_LUNG_CANCER","SYSTEMATIC_NAME":"M6362","ORGANISM":"Homo sapiens","PMID":"16491115","AUTHORS":"Nakamura N,Kobayashi K,Nakamoto M,Kohno T,Sasaki H,Matsuno Y,Yokota J","EXACT_SOURCE":"Table 1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in lung adenocarcinoma cell lines and not expressed in non-cancerous lung epithelial cells.","DESCRIPTION_FULL":"To identify tumor markers and differentiation markers for lung adenocarcinoma (AdC), we analysed expression profiles of 14,500 genes against three cases of type II alveolar epithelial cells, bronchiolar epithelial cells, and bronchial epithelial cells, respectively, and 10 cases of AdC cells isolated by laser capture microdissection. Hierarchical clustering analysis indicated that AdC cells and noncancerous lung epithelial cells are significantly different in their expression profiles, and that different sets of differentiation markers are expressed among alveolar, bronchiolar and bronchial epithelial cells. Nine genes were identified as being highly expressed in AdC cells, but not expressed in noncancerous lung epithelial cells. Sixteen genes were identified as differentiation markers for lung epithelial cells. Real-time RT-PCR analysis of 45 lung AdC cases further revealed that expression of four tumor markers in AdC cells was significantly higher than that in noncancerous lung cells and that expression of ten differentiation markers was retained in a considerable fraction of lung AdC cases. Five tumor markers and seven differentiation markers were not expressed in peripheral blood cells. Similarities and differences in expression profiles between normal epithelial cells from different lung respiratory compartments and AdC cells demonstrated in this study will be informative for the molecular diagnosis of lung AdC."}
{"STANDARD_NAME":"HAEGERSTRAND_RESPONSE_TO_IMATINIB","SYSTEMATIC_NAME":"M16300","ORGANISM":"Homo sapiens","PMID":"16547494","AUTHORS":"Hägerstrand D,Hesselager G,Achterberg S,Bolin Wickenberg U,Kowanetz M,Kastemar M,Heldin CH,Isaksson A,Nistér M,Ostman A","EXACT_SOURCE":"Table 1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with the highest differential expression in primary tissue cultures of high grade glioma: responders vs non-responders to imatinib [PubChem=5291] treatment.","DESCRIPTION_FULL":"High-grade gliomas, including glioblastomas, are malignant brain tumors for which improved treatment is urgently needed. Genetic studies have demonstrated the existence of biologically distinct subsets. Preliminary studies have indicated that platelet-derived growth factor (PDGF) receptor signaling contributes to the growth of some of these tumors. In this study, human high-grade glioma primary cultures were analysed for sensitivity to treatment with the PDGF receptor inhibitor imatinib/Glivec/Gleevec/STI571. Six out of 15 cultures displayed more than 40% growth inhibition after imatinib treatment, whereas seven cultures showed less than 20% growth inhibition. In the sensitive cultures, apoptosis contributed to growth inhibition. Platelet-derived growth factor receptor status correlated with imatinib sensitivity. Supervised analyses of gene expression profiles and real-time PCR analyses identified expression of the chemokine CXCL12/SDF-1 (stromal cell-derived factor 1) as a predictor of imatinib sensitivity. Exogenous addition of CXCL12 to imatinib-insensitive cultures conferred some imatinib sensitivity. Finally, coregulation of CXCL12 and PDGF alpha-receptor was observed in glioblastoma biopsies. We have thus defined the characteristics of a novel imatinib-sensitive subset of glioma cultures, and provided evidence for a functional relationship between imatinib sensitivity and chemokine signaling. These findings will assist in the design and evaluation of clinical trials exploring therapeutic effects of imatinib on malignant brain tumors."}
{"STANDARD_NAME":"MIDORIKAWA_AMPLIFIED_IN_LIVER_CANCER","SYSTEMATIC_NAME":"M1065","ORGANISM":"Homo sapiens","PMID":"16785998","AUTHORS":"Midorikawa Y,Yamamoto S,Ishikawa S,Kamimura N,Igarashi H,Sugimura H,Makuuchi M,Aburatani H","EXACT_SOURCE":"Table 1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Candidate genes in genomic amplification regions in hepatocellular carcinoma (HCC) samples.","DESCRIPTION_FULL":"Genomic amplification of oncogenes and inactivation of suppressor genes are critical in the pathogenesis of human cancer. To identify chromosomal alterations associated with hepatocarcinogenesis, we performed allelic gene dosage analysis on 36 hepatocellular carcinomas (HCCs). Data from high-density single-nucleotide polymorphism arrays were analysed using the Genome Imbalance Map (GIM) algorithm, which simultaneously detects DNA copy number alterations and loss of heterozygosity (LOH) events. Genome Imbalance Map analysis identified allelic imbalance regions, including uniparental disomy, and predicted the coexistence of a heterozygous population of cancer cells. We observed that gains of 1q, 5p, 5q, 6p, 7q, 8q, 17q and 20q, and LOH of 1p, 4q, 6q, 8p, 10q, 13q, 16p, 16q and 17p were significantly associated with HCC. On 6q24-25, which contains imprinting gene clusters, we observed reduced levels of PLAGL1 expression owing to loss of the unmethylated allele. Finally, we integrated the copy number data with gene expression intensity, and found that genome dosage is correlated with alteration in gene expression. These observations indicated that high-resolution GIM analysis can accurately determine the localizations of genomic regions with allelic imbalance, and when integrated with epigenetic information, a mechanistic basis for inactivation of a tumor suppressor gene in HCC was elucidated."}
{"STANDARD_NAME":"ROVERSI_GLIOMA_COPY_NUMBER_DN","SYSTEMATIC_NAME":"M18630","ORGANISM":"Homo sapiens","PMID":"16247447","AUTHORS":"Roversi G,Pfundt R,Moroni RF,Magnani I,van Reijmersdal S,Pollo B,Straatman H,Larizza L,Schoenmakers EF","EXACT_SOURCE":"Table 2","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes in the most frequently homozygous deleted loci in a panel of glioma cell lines.","DESCRIPTION_FULL":"Identification of genetic copy number changes in glial tumors is of importance in the context of improved/refined diagnostic, prognostic procedures and therapeutic decision-making. In order to detect recurrent genomic copy number changes that might play a role in glioma pathogenesis and/or progression, we characterized 25 primary glioma cell lines including 15 non glioblastoma (non GBM) (I-III WHO grade) and 10 GBM (IV WHO grade), by array comparative genomic hybridization, using a DNA microarray comprising approx. 3500 BACs covering the entire genome with a 1 Mb resolution and additional 800 BACs covering chromosome 19 at tiling path resolution. Combined evaluation by single clone and whole chromosome analysis plus 'moving average (MA) approach' enabled us to confirm most of the genetic abnormalities previously identified to be associated with glioma progression, including +1q32, +7, -10, -22q, PTEN and p16 loss, and to disclose new small genomic regions, some correlating with grade malignancy. Grade I-III gliomas exclusively showed losses at 3p26 (53%), 4q13-21 (33%) and 7p15-p21 (26%), whereas only GBMs exhibited 4p16.1 losses (40%). Other recurrent imbalances, such as losses at 4p15, 5q22-q23, 6p23-25, 12p13 and gains at 11p11-q13, were shared by different glioma grades. Three intervals with peak of loss could be further refined for chromosome 10 by our MA approach. Data analysis of full-coverage chromosome 19 highlighted two main regions of copy number gain, never described before in gliomas, at 19p13.11 and 19q13.13-13.2. The well-known 19q13.3 loss of heterozygosity area in gliomas was not frequently affected in our cell lines. Genomic hotspot detection facilitated the identification of small intervals resulting in positional candidate genes such as PRDM2 (1p36.21), LRP1B (2q22.3), ADARB2 (10p15.3), BCCIP (10q26.2) and ING1 (13q34) for losses and ECT2 (3q26.3), MDK, DDB2, IG20 (11p11.2) for gains. These data increase our current knowledge about cryptic genetic changes in gliomas and may facilitate the further identification of novel genetic elements, which may provide us with molecular tools for the improved diagnostics and therapeutic decision-making in these tumors."}
{"STANDARD_NAME":"SEIDEN_ONCOGENESIS_BY_MET","SYSTEMATIC_NAME":"M3231","ORGANISM":"Homo sapiens","PMID":"16158056","AUTHORS":"Seiden-Long IM,Brown KR,Shih W,Wigle DA,Radulovich N,Jurisica I,Tsao MS","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes changed in xenograft tumors formed by DLD-1 or DKO-4 cells (colon cancer) overexpressing MET [GeneID=4233].","DESCRIPTION_FULL":"Both Ki-ras mutation and hepatocyte growth factor (HGF) receptor Met overexpression occur at high frequency in colon cancer. This study investigates the transcriptional changes induced by Ki-ras oncogene and HGF/Met signaling activation in colon cancer cell lines in vitro and in vivo. The model system used in these studies included the DLD-1 colon cancer cell line with a mutated Ki-ras allele, and the DKO-4 cell line generated from DLD-1, with its mutant Ki-ras allele inactivated by targeted disruption. These cell lines were transduced with cDNAs of full-length Met receptor. Microarray transcriptional profiling was conducted on cell lines stimulated with HGF, as well as on tumor xenograft tissues. Overlapping genes between in vitro and in vivo microarray data sets were selected as a subset of HGF/Met and Ki-ras oncogene-regulated targets. Using the Online Predicted Human Interaction Database, novel HGF/Met and Ki-ras regulated proteins with putative functional linkage were identified. Novel proteins identified included histone acetyltransferase 1, phosphoribosyl pyrophosphate synthetase 2, chaperonin containing TCP1, subunit 8, CSE1 chromosome segregation 1-like (yeast)/cellular apoptosis susceptibility (mammals), CCR4-NOT transcription complex, subunit 8, and cyclin H. Transcript levels for these Met-signaling targets were correlated with Met expression levels, and were significantly elevated in both primary and metastatic human colorectal cancer samples compared to normal colorectal mucosa. These genes represent novel Met and/or Ki-ras transcriptionally coregulated genes with a high degree of validation in human colorectal cancers."}
{"STANDARD_NAME":"HUMMERICH_SKIN_CANCER_PROGRESSION_UP","SYSTEMATIC_NAME":"M1167","ORGANISM":"Mus musculus","PMID":"16247483","AUTHORS":"Hummerich L,Müller R,Hess J,Kokocinski F,Hahn M,Fürstenberger G,Mauch C,Lichter P,Angel P","EXACT_SOURCE":"Table 2: clusters 2.1 and 3.1-4","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Selected genes up-regulated during progression through benign to malignant skin tumors formed by treatment with DMBA and TPA [PubChem=6001;4792] chemicals in the two stage skin carcinogenesis model.","DESCRIPTION_FULL":"Chemically induced mouse skin carcinogenesis represents the most extensively utilized animal model to unravel the multistage nature of tumour development and to design novel therapeutic concepts of human epithelial neoplasia. We combined this tumour model with comprehensive gene expression analysis and could identify a large set of novel tumour-associated genes that have not been associated with epithelial skin cancer development yet. Expression data of selected genes were confirmed by semiquantitative and quantitative RT-PCR as well as in situ hybridization and immunofluorescence analysis on mouse tumour sections. Enhanced expression of genes identified in our screen was also demonstrated in mouse keratinocyte cell lines that form tumours in vivo. Self-organizing map clustering was performed to identify different kinetics of gene expression and coregulation during skin cancer progression. Detailed analysis of differential expressed genes according to their functional annotation confirmed the involvement of several biological processes, such as regulation of cell cycle, apoptosis, extracellular proteolysis and cell adhesion, during skin malignancy. Finally, we detected high transcript levels of ANXA1, LCN2 and S100A8 as well as reduced levels for NDR2 protein in human skin tumour specimens demonstrating that tumour-associated genes identified in the chemically induced tumour model might be of great relevance for the understanding of human epithelial malignancies as well."}
{"STANDARD_NAME":"CAVARD_LIVER_CANCER_MALIGNANT_VS_BENIGN","SYSTEMATIC_NAME":"M9719","ORGANISM":"Homo sapiens","PMID":"16314847","AUTHORS":"Cavard C,Terris B,Grimber G,Christa L,Audard V,Radenen-Bussiere B,Simon MT,Renard CA,Buendia MA,Perret C","EXACT_SOURCE":"Table 2S","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes identified by subtractive hybridization comparing malignant and benign components of a hepatocellular carcinoma (HCC) in a pre-existing liver adenoma in a morphologically normal liver.","DESCRIPTION_FULL":"The Wnt/beta-catenin signaling pathway is activated in many human hepatocellular carcinomas (HCC). We tried to identify the genes involved in carcinogenesis and progression of HCC with beta-catenin mutations. We used PCR-based subtractive hybridization to compare gene expression between malignant and benign components of a human HCC occurring in pre-existing adenoma activated for beta-catenin. Two of the genes identified belong to the Regenerating gene (REG) family. They encode the Regenerating islet-derived 3 alpha (REG3A/HIP/PAP/REG-III) and 1 alpha (REG1A) proteins, both involved in liver and pancreatic regeneration and proliferation. Using siRNA directed against beta-catenin, we demonstrated that REG3A is a target of beta-catenin signaling in Huh7 hepatoma cells. The upregulation of REG3A and REG1A expression is significantly correlated to the beta-catenin status in 42 HCC and 28 hepatoblastomas characterized for their beta-catenin status. Thus, we report strong evidence that both genes are downstream targets of the Wnt pathway during liver tumorigenesis."}
{"STANDARD_NAME":"KLEIN_TARGETS_OF_BCR_ABL1_FUSION","SYSTEMATIC_NAME":"M2569","ORGANISM":"Homo sapiens","PMID":"16205638","AUTHORS":"Klein F,Feldhahn N,Herzog S,Sprangers M,Mooster JL,Jumaa H,Müschen M","EXACT_SOURCE":"Fig 1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes changed in pre-B lymphoblastic leukemia cells with BCR-ABL1 fusion [GeneID=613, 25] vs normal pre-B lymphocytes.","DESCRIPTION_FULL":"Pre-B lymphoblastic leukemia cells carrying a BCR-ABL1 gene rearrangement exhibit an undifferentiated phenotype. Comparing the genome-wide gene expression profiles of normal B-cell subsets and BCR-ABL1+ pre-B lymphoblastic leukemia cells by SAGE, the leukemia cells show loss of B lymphoid identity and aberrant expression of myeloid lineage-specific molecules. Consistent with this, BCR-ABL1+ pre-B lymphoblastic leukemia cells exhibit defective expression of IKAROS, a transcription factor needed for early lymphoid lineage commitment. As shown by inducible expression of BCR-ABL1 in human and murine B-cell precursor cell lines, BCR-ABL1 induces the expression of a dominant-negative IKAROS splice variant, termed IK6. Comparing matched leukemia sample pairs from patients before and during therapy with the BCR-ABL1 kinase inhibitor STI571 (Imatinib), inhibition of BCR-ABL1 partially corrected aberrant expression of IK6 and lineage infidelity of the leukemia cells. To elucidate the contribution of IK6 to lineage infidelity in BCR-ABL1+ cell lines, IK6 expression was silenced by RNA interference. Upon inhibition of IK6, BCR-ABL1+ leukemia cells partially restored B lymphoid lineage commitment. Therefore, we propose that BCR-ABL1 induces aberrant splicing of IKAROS, which interferes with lineage identity and differentiation of pre-B lymphoblastic leukemia cells."}
{"STANDARD_NAME":"ROVERSI_GLIOMA_LOH_REGIONS","SYSTEMATIC_NAME":"M6712","ORGANISM":"Homo sapiens","PMID":"16247447","AUTHORS":"Roversi G,Pfundt R,Moroni RF,Magnani I,van Reijmersdal S,Pollo B,Straatman H,Larizza L,Schoenmakers EF","EXACT_SOURCE":"Table 3","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes in the most frequently heterozygous deleted loci of a panel of glioma cell lines.","DESCRIPTION_FULL":"Identification of genetic copy number changes in glial tumors is of importance in the context of improved/refined diagnostic, prognostic procedures and therapeutic decision-making. In order to detect recurrent genomic copy number changes that might play a role in glioma pathogenesis and/or progression, we characterized 25 primary glioma cell lines including 15 non glioblastoma (non GBM) (I-III WHO grade) and 10 GBM (IV WHO grade), by array comparative genomic hybridization, using a DNA microarray comprising approx. 3500 BACs covering the entire genome with a 1 Mb resolution and additional 800 BACs covering chromosome 19 at tiling path resolution. Combined evaluation by single clone and whole chromosome analysis plus 'moving average (MA) approach' enabled us to confirm most of the genetic abnormalities previously identified to be associated with glioma progression, including +1q32, +7, -10, -22q, PTEN and p16 loss, and to disclose new small genomic regions, some correlating with grade malignancy. Grade I-III gliomas exclusively showed losses at 3p26 (53%), 4q13-21 (33%) and 7p15-p21 (26%), whereas only GBMs exhibited 4p16.1 losses (40%). Other recurrent imbalances, such as losses at 4p15, 5q22-q23, 6p23-25, 12p13 and gains at 11p11-q13, were shared by different glioma grades. Three intervals with peak of loss could be further refined for chromosome 10 by our MA approach. Data analysis of full-coverage chromosome 19 highlighted two main regions of copy number gain, never described before in gliomas, at 19p13.11 and 19q13.13-13.2. The well-known 19q13.3 loss of heterozygosity area in gliomas was not frequently affected in our cell lines. Genomic hotspot detection facilitated the identification of small intervals resulting in positional candidate genes such as PRDM2 (1p36.21), LRP1B (2q22.3), ADARB2 (10p15.3), BCCIP (10q26.2) and ING1 (13q34) for losses and ECT2 (3q26.3), MDK, DDB2, IG20 (11p11.2) for gains. These data increase our current knowledge about cryptic genetic changes in gliomas and may facilitate the further identification of novel genetic elements, which may provide us with molecular tools for the improved diagnostics and therapeutic decision-making in these tumors."}
{"STANDARD_NAME":"ROVERSI_GLIOMA_COPY_NUMBER_UP","SYSTEMATIC_NAME":"M11028","ORGANISM":"Homo sapiens","PMID":"16247447","AUTHORS":"Roversi G,Pfundt R,Moroni RF,Magnani I,van Reijmersdal S,Pollo B,Straatman H,Larizza L,Schoenmakers EF","EXACT_SOURCE":"Table 4, 5","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes in the most frequently gained loci in a panel of glioma cell lines.","DESCRIPTION_FULL":"Identification of genetic copy number changes in glial tumors is of importance in the context of improved/refined diagnostic, prognostic procedures and therapeutic decision-making. In order to detect recurrent genomic copy number changes that might play a role in glioma pathogenesis and/or progression, we characterized 25 primary glioma cell lines including 15 non glioblastoma (non GBM) (I-III WHO grade) and 10 GBM (IV WHO grade), by array comparative genomic hybridization, using a DNA microarray comprising approx. 3500 BACs covering the entire genome with a 1 Mb resolution and additional 800 BACs covering chromosome 19 at tiling path resolution. Combined evaluation by single clone and whole chromosome analysis plus 'moving average (MA) approach' enabled us to confirm most of the genetic abnormalities previously identified to be associated with glioma progression, including +1q32, +7, -10, -22q, PTEN and p16 loss, and to disclose new small genomic regions, some correlating with grade malignancy. Grade I-III gliomas exclusively showed losses at 3p26 (53%), 4q13-21 (33%) and 7p15-p21 (26%), whereas only GBMs exhibited 4p16.1 losses (40%). Other recurrent imbalances, such as losses at 4p15, 5q22-q23, 6p23-25, 12p13 and gains at 11p11-q13, were shared by different glioma grades. Three intervals with peak of loss could be further refined for chromosome 10 by our MA approach. Data analysis of full-coverage chromosome 19 highlighted two main regions of copy number gain, never described before in gliomas, at 19p13.11 and 19q13.13-13.2. The well-known 19q13.3 loss of heterozygosity area in gliomas was not frequently affected in our cell lines. Genomic hotspot detection facilitated the identification of small intervals resulting in positional candidate genes such as PRDM2 (1p36.21), LRP1B (2q22.3), ADARB2 (10p15.3), BCCIP (10q26.2) and ING1 (13q34) for losses and ECT2 (3q26.3), MDK, DDB2, IG20 (11p11.2) for gains. These data increase our current knowledge about cryptic genetic changes in gliomas and may facilitate the further identification of novel genetic elements, which may provide us with molecular tools for the improved diagnostics and therapeutic decision-making in these tumors."}
{"STANDARD_NAME":"RASHI_RESPONSE_TO_IONIZING_RADIATION_3","SYSTEMATIC_NAME":"M7248","ORGANISM":"Mus musculus","PMID":"16314843","AUTHORS":"Rashi-Elkeles S,Elkon R,Weizman N,Linhart C,Amariglio N,Sternberg G,Rechavi G,Barzilai A,Shamir R,Shiloh Y","GEOID":"GSE2118","EXACT_SOURCE":"Supplementary Table A: cluster 3","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster 3: genes activated by ionizing radiation regardless of ATM [GeneID=472] status.","DESCRIPTION_FULL":"The ATM protein kinase, functionally missing in patients with the human genetic disorder ataxia-telangiectasia, is a master regulator of the cellular network induced by DNA double-strand breaks. The ATM gene is also frequently mutated in sporadic cancers of lymphoid origin. Here, we applied a functional genomics approach that combined gene expression profiling and computational promoter analysis to obtain global dissection of the transcriptional response to ionizing radiation in murine lymphoid tissue. Cluster analysis revealed a prominent pattern characterizing dozens of genes whose response to irradiation was Atm-dependent. Computational analysis identified significant enrichment of the binding site signatures of NF-kappaB and p53 among promoters of these genes, pointing to the major role of these two transcription factors in mediating the Atm-dependent transcriptional response in the irradiated lymphoid tissue. Examination of the response showed that pro- and antiapoptotic signals were simultaneously induced, with the proapoptotic pathway mediated by p53 targets, and the prosurvival pathway by NF-kappaB targets. These findings further elucidate the molecular network induced by IR, point to novel putative NF-kappaB targets, and suggest a mechanistic model for cellular balancing between pro- and antiapoptotic signals induced by IR in lymphoid tissues, which has implications for cancer management. The emerging model suggests that restoring the p53-mediated apoptotic arm while blocking the NF-kappaB-mediated prosurvival arm could effectively increase the radiosensitivity of lymphoid tumors."}
{"STANDARD_NAME":"RASHI_RESPONSE_TO_IONIZING_RADIATION_4","SYSTEMATIC_NAME":"M3141","ORGANISM":"Mus musculus","PMID":"16314843","AUTHORS":"Rashi-Elkeles S,Elkon R,Weizman N,Linhart C,Amariglio N,Sternberg G,Rechavi G,Barzilai A,Shamir R,Shiloh Y","GEOID":"GSE2118","EXACT_SOURCE":"Supplementary Table A: cluster 4","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster 4: genes repressed by ionizing radiation regardless of ATM [GeneID=472] status.","DESCRIPTION_FULL":"The ATM protein kinase, functionally missing in patients with the human genetic disorder ataxia-telangiectasia, is a master regulator of the cellular network induced by DNA double-strand breaks. The ATM gene is also frequently mutated in sporadic cancers of lymphoid origin. Here, we applied a functional genomics approach that combined gene expression profiling and computational promoter analysis to obtain global dissection of the transcriptional response to ionizing radiation in murine lymphoid tissue. Cluster analysis revealed a prominent pattern characterizing dozens of genes whose response to irradiation was Atm-dependent. Computational analysis identified significant enrichment of the binding site signatures of NF-kappaB and p53 among promoters of these genes, pointing to the major role of these two transcription factors in mediating the Atm-dependent transcriptional response in the irradiated lymphoid tissue. Examination of the response showed that pro- and antiapoptotic signals were simultaneously induced, with the proapoptotic pathway mediated by p53 targets, and the prosurvival pathway by NF-kappaB targets. These findings further elucidate the molecular network induced by IR, point to novel putative NF-kappaB targets, and suggest a mechanistic model for cellular balancing between pro- and antiapoptotic signals induced by IR in lymphoid tissues, which has implications for cancer management. The emerging model suggests that restoring the p53-mediated apoptotic arm while blocking the NF-kappaB-mediated prosurvival arm could effectively increase the radiosensitivity of lymphoid tumors."}
{"STANDARD_NAME":"RASHI_RESPONSE_TO_IONIZING_RADIATION_5","SYSTEMATIC_NAME":"M15659","ORGANISM":"Mus musculus","PMID":"16314843","AUTHORS":"Rashi-Elkeles S,Elkon R,Weizman N,Linhart C,Amariglio N,Sternberg G,Rechavi G,Barzilai A,Shamir R,Shiloh Y","GEOID":"GSE2118","EXACT_SOURCE":"Supplementary Table A: cluster 5","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster 5: early responding genes activated in ATM [GeneID=472] deficient but not in the wild type tissues.","DESCRIPTION_FULL":"The ATM protein kinase, functionally missing in patients with the human genetic disorder ataxia-telangiectasia, is a master regulator of the cellular network induced by DNA double-strand breaks. The ATM gene is also frequently mutated in sporadic cancers of lymphoid origin. Here, we applied a functional genomics approach that combined gene expression profiling and computational promoter analysis to obtain global dissection of the transcriptional response to ionizing radiation in murine lymphoid tissue. Cluster analysis revealed a prominent pattern characterizing dozens of genes whose response to irradiation was Atm-dependent. Computational analysis identified significant enrichment of the binding site signatures of NF-kappaB and p53 among promoters of these genes, pointing to the major role of these two transcription factors in mediating the Atm-dependent transcriptional response in the irradiated lymphoid tissue. Examination of the response showed that pro- and antiapoptotic signals were simultaneously induced, with the proapoptotic pathway mediated by p53 targets, and the prosurvival pathway by NF-kappaB targets. These findings further elucidate the molecular network induced by IR, point to novel putative NF-kappaB targets, and suggest a mechanistic model for cellular balancing between pro- and antiapoptotic signals induced by IR in lymphoid tissues, which has implications for cancer management. The emerging model suggests that restoring the p53-mediated apoptotic arm while blocking the NF-kappaB-mediated prosurvival arm could effectively increase the radiosensitivity of lymphoid tumors."}
{"STANDARD_NAME":"IWANAGA_E2F1_TARGETS_INDUCED_BY_SERUM","SYSTEMATIC_NAME":"M1172","ORGANISM":"Rattus norvegicus","PMID":"16288221","AUTHORS":"Iwanaga R,Komori H,Ishida S,Okamura N,Nakayama K,Nakayama KI,Ohtani K","EXACT_SOURCE":"Table 2","CHIP":"RAT_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in REF52 cells (embryonic fibroblast) by expression of E2F1 [GeneID=1869] that were also induced at 16 hr after serum stimulation.","DESCRIPTION_FULL":"The transcription factor E2F mediates cell cycle-dependent expression of genes important for cell proliferation in response to growth stimulation. To further understand the role of E2F, we utilized a sensitive subtraction method to explore new E2F1 targets, which are expressed at low levels and might have been unrecognized in previous studies. We identified 33 new E2F1-inducible genes, including checkpoint genes Claspin and Rad51ap1, and four genes with unknown function required for cell cycle progression. Moreover, we found three groups of E2F1-inducible genes that were not induced by growth stimulation. At least, two groups of genes were directly induced by E2F1, indicating that E2F1 can regulate expression of genes not induced during the cell cycle. One included Neogenin, WASF1 and SGEF genes, which may have a role in differentiation or development. The other was the cyclin-dependent kinase inhibitor p27(Kip1), which was involved in suppression of inappropriate cell cycle progression induced by deregulated E2F. E2F1-responsive regions of these genes were located more upstream than those of typical E2F targets and did not have typical E2F sites. These results indicate that there are groups of E2F1 targets, which are regulated in a distinct manner from that of typical E2F targets."}
{"STANDARD_NAME":"SUZUKI_AMPLIFIED_IN_ORAL_CANCER","SYSTEMATIC_NAME":"M15351","ORGANISM":"Homo sapiens","PMID":"17599052","AUTHORS":"Suzuki E,Imoto I,Pimkhaokham A,Nakagawa T,Kamata N,Kozaki KI,Amagasa T,Inazawa J","EXACT_SOURCE":"Table 1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"High-level amplifications detected in oral squamous cell carcinoma (OSCC) lines by array-CGH analysis.","DESCRIPTION_FULL":"Array-based comparative genomic hybridization (array-CGH) has good potential for the high-throughput identification of genetic aberrations in cell genomes. In the course of a program to screen a panel of oral squamous-cell carcinoma (OSCC), cell lines for genomic copy-number aberrations by array-CGH using our in-house arrays, we identified a 3-Mb homozygous deletion at 10p12 in 1 of 18 cell lines (5.6%). Among seven genes located within this region, expression of PRTFDC1 mRNA was not detected in 50% (9/18) or decreased in 5.6% (1/18) of OSCC cell lines, but detected in normal oral epithelia and restored in gene-silenced OSCC cells without its homozygous loss after treatment with 5-aza-2'-deoxycytidine. Among 17 cell lines without a homozygous deletion, the hypermethylation of the PRTFDC1 CpG island, which showed promoter activity, was observed in all nine cell lines with no or reduced PRTFDC1 expression (52.9%). Methylation of this CpG island was also observed in primary OSCC tissues (8/47, 17.0%). In addition, restoration of PRTFDC1 in OSCC cells lacking its expression inhibited cell growth in colony-formation assays, whereas knockdown of PRTFDC1 expression in OSCC cells expressing the gene promoted cell growth. These results suggest that epigenetic silencing of PRTFDC1 by hypermethylation of the CpG island leads to a loss of PRTFDC1 function, which might be involved in squamous cell oral carcinogenesis."}
{"STANDARD_NAME":"HESSON_TUMOR_SUPPRESSOR_CLUSTER_3P21_3","SYSTEMATIC_NAME":"M1173","ORGANISM":"Homo sapiens","PMID":"17533367","AUTHORS":"Hesson LB,Cooper WN,Latif F","EXACT_SOURCE":"Table 1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes in the tumor suppressor cluster of the 3p21.3 region.","DESCRIPTION_FULL":"Deletions of the 3p21.3 region are a frequent and early event in the formation of lung, breast, kidney and other cancers. Intense investigation of allelic losses and the discovery of overlapping homozygous deletions in lung and breast tumour-cell lines have defined a minimal critical 120 kb deletion region containing eight genes and likely to harbor one or more tumour-suppressor genes (TSGs). The candidate genes are HYAL2, FUS1, Ras-associated factor 1 (RASSF1), BLU/ZMYND10, NPR2L, 101F6, PL6 and CACNA2D2. Recent research indicates that several of these genes can suppress the growth of lung and other tumour cells. Furthermore, some genes (RASSF1A and BLU/ZMYND10) are very frequently inactivated by non-classical mechanisms such as promoter hypermethylation resulting in loss of expression. These data indicate that the 120 kb critical deletion region at 3p21.3 may represent a TSG cluster with preferential inactivation of particular genes depending on tumour type. The eight genes within this region and their potential role in cancer will be the focus of this review."}
{"STANDARD_NAME":"MARTIN_INTERACT_WITH_HDAC","SYSTEMATIC_NAME":"M15154","ORGANISM":"Homo sapiens","PMID":"17694086","AUTHORS":"Martin M,Kettmann R,Dequiedt F","EXACT_SOURCE":"Table 1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Interaction partners of class IIa histone deacetylases (HDAC).","DESCRIPTION_FULL":"In the last decade, the identification of enzymes that regulate acetylation of histones and nonhistone proteins has revealed the key role of dynamic acetylation and deacetylation in various cellular processes. Mammalian histone deacetylases (HDACs), which catalyse the removal of acetyl groups from lysine residues, are grouped into three classes, on the basis of similarity to yeast counterparts. An abundance of experimental evidence has established class IIa HDACs as crucial transcriptional regulators of various developmental and differentiation processes. In the past 5 years, a tremendous effort has been dedicated to characterizing the regulation of these enzymes. In this review, we summarize the latest discoveries in the field and discuss the molecular and structural determinants of class IIa HDACs regulation. Finally, we emphasize that comprehension of the mechanisms underlying class IIa HDAC functions is essential for potential therapeutic applications."}
{"STANDARD_NAME":"LASTOWSKA_COAMPLIFIED_WITH_MYCN","SYSTEMATIC_NAME":"M1375","ORGANISM":"Homo sapiens","PMID":"17533364","AUTHORS":"Łastowska M,Viprey V,Santibanez-Koref M,Wappler I,Peters H,Cullinane C,Roberts P,Hall AG,Tweddle DA,Pearson AD,Lewis I,Burchill SA,Jackson MS","GEOID":"GSE13141","EXACT_SOURCE":"Table 2","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes co-amplified within MYCN [GeneID=4613] in primary neuroblastoma tumors.","DESCRIPTION_FULL":"Identifying genes, whose expression is consistently altered by chromosomal gains or losses, is an important step in defining genes of biological relevance in a wide variety of tumour types. However, additional criteria are needed to discriminate further among the large number of candidate genes identified. This is particularly true for neuroblastoma, where multiple genomic copy number changes of proven prognostic value exist. We have used Affymetrix microarrays and a combination of fluorescent in situ hybridization and single nucleotide polymorphism (SNP) microarrays to establish expression profiles and delineate copy number alterations in 30 primary neuroblastomas. Correlation of microarray data with patient survival and analysis of expression within rodent neuroblastoma cell lines were then used to define further genes likely to be involved in the disease process. Using this approach, we identify >1000 genes within eight recurrent genomic alterations (loss of 1p, 3p, 4p, 10q and 11q, 2p gain, 17q gain, and the MYCN amplicon) whose expression is consistently altered by copy number change. Of these, 84 correlate with patient survival, with the minimal regions of 17q gain and 4p loss being enriched significantly for such genes. These include genes involved in RNA and DNA metabolism, and apoptosis. Orthologues of all but one of these genes on 17q are overexpressed in rodent neuroblastoma cell lines. A significant excess of SNPs whose copy number correlates with survival is also observed on proximal 4p in stage 4 tumours, and we find that deletion of 4p is associated with improved outcome in an extended cohort of tumours. These results define the major impact of genomic copy number alterations upon transcription within neuroblastoma, and highlight genes on distal 17q and proximal 4p for downstream analyses. They also suggest that integration of discriminators, such as survival and comparative gene expression, with microarray data may be useful in the identification of critical genes within regions of loss or gain in many human cancers."}
{"STANDARD_NAME":"LI_LUNG_CANCER","SYSTEMATIC_NAME":"M8779","ORGANISM":"Homo sapiens","PMID":"16369491","AUTHORS":"Li R,Wang H,Bekele BN,Yin Z,Caraway NP,Katz RL,Stass SA,Jiang F","EXACT_SOURCE":"Table 2","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Proteins showing significant overexpression in lung cancer cell lines relative to normal bronchial epithelial cell lines.","DESCRIPTION_FULL":"Amplification and overexpression of putative oncogenes confer growth advantages for tumor development. We used a functional genomic approach that integrated simultaneous genomic and transcript microarray, proteomics, and tissue microarray analyses to directly identify putative oncogenes in lung adenocarcinoma. We first identified 183 genes with increases in both genomic copy number and transcript in six lung adenocarcinoma cell lines. Next, we used two-dimensional polyacrylamide gel electrophoresis and mass spectrometry to identify 42 proteins that were overexpressed in the cancer cells relative to normal cells. Comparing the 183 genes with the 42 proteins, we identified four genes - PRDX1, EEF1A2, CALR, and KCIP-1 - in which elevated protein expression correlated with both increased DNA copy number and increased transcript levels (all r > 0.84, two-sided P < 0.05). These findings were validated by Southern, Northern, and Western blotting. Specific inhibition of EEF1A2 and KCIP-1 expression with siRNA in the four cell lines tested suppressed proliferation and induced apoptosis. Parallel fluorescence in situ hybridization and immunohistochemical analyses of EEF1A2 and KCIP-1 in tissue microarrays from patients with lung adenocarcinoma showed that gene amplification was associated with high protein expression for both genes and that protein overexpression was related to tumor grade, disease stage, Ki-67 expression, and a shorter survival of patients. The amplification of EEF1A2 and KCIP-1 and the presence of overexpressed protein in tumor samples strongly suggest that these genes could be oncogenes and hence potential targets for diagnosis and therapy in lung adenocarcinoma."}
{"STANDARD_NAME":"LINDGREN_BLADDER_CANCER_WITH_LOH_IN_CHR9Q","SYSTEMATIC_NAME":"M8411","ORGANISM":"Homo sapiens","PMID":"16532037","AUTHORS":"Lindgren D,Liedberg F,Andersson A,Chebil G,Gudjonsson S,Borg A,Månsson W,Fioretos T,Höglund M","EXACT_SOURCE":"Table 5S","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in urothelial cell carcinoma (UCC) tumors with LOH on 9q as compared to the tumors showing retention.","DESCRIPTION_FULL":"We used gene expression profiling, mutation analyses of FGFR3 and TP53, and LOH analyses of chromosome 9 and the TP53 region on chromosome arm 17p, to molecularly characterize 75 Ta and T1 bladder carcinomas. We identified four major cellular processes related to cell cycle, protein synthesis, immune response, and extra cellular components that contribute to the expressional heterogeneity of early-stage urothelial cell carcinoma (UCC). Activating FGFR3 mutations were found at the highest frequency in G1 tumors (80%), and showed a strong correlation with FGFR3 expression. In contrast, G3 tumors displayed mutations in less than 10% of the cases and a low level of FGFR3 expression. Even though LOH on chromosome 9 was not associated with any specific expression pattern, our data indicate that loss of chromosome 9 is associated with tumor development rather than initiation. The combined analyses suggest the existence of two types of UCC tumors, one which is characterized by FGFR3 mutation or expression, high expression of protein synthesis genes, and low expression of cell cycle genes. Furthermore, the presented data underscore FGFR3 receptor involvement in urothelial cell transformation as the presence of FGFR3 mutations has a major impact on the global gene expression profile of bladder carcinomas."}
{"STANDARD_NAME":"NAKAMURA_ALVEOLAR_EPITHELIUM","SYSTEMATIC_NAME":"M17424","ORGANISM":"Homo sapiens","PMID":"16491115","AUTHORS":"Nakamura N,Kobayashi K,Nakamoto M,Kohno T,Sasaki H,Matsuno Y,Yokota J","EXACT_SOURCE":"Table 3: Alv","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Differentiation markers for normal alveolar epithelium cells.","DESCRIPTION_FULL":"To identify tumor markers and differentiation markers for lung adenocarcinoma (AdC), we analysed expression profiles of 14,500 genes against three cases of type II alveolar epithelial cells, bronchiolar epithelial cells, and bronchial epithelial cells, respectively, and 10 cases of AdC cells isolated by laser capture microdissection. Hierarchical clustering analysis indicated that AdC cells and noncancerous lung epithelial cells are significantly different in their expression profiles, and that different sets of differentiation markers are expressed among alveolar, bronchiolar and bronchial epithelial cells. Nine genes were identified as being highly expressed in AdC cells, but not expressed in noncancerous lung epithelial cells. Sixteen genes were identified as differentiation markers for lung epithelial cells. Real-time RT-PCR analysis of 45 lung AdC cases further revealed that expression of four tumor markers in AdC cells was significantly higher than that in noncancerous lung cells and that expression of ten differentiation markers was retained in a considerable fraction of lung AdC cases. Five tumor markers and seven differentiation markers were not expressed in peripheral blood cells. Similarities and differences in expression profiles between normal epithelial cells from different lung respiratory compartments and AdC cells demonstrated in this study will be informative for the molecular diagnosis of lung AdC."}
{"STANDARD_NAME":"NAKAMURA_BRONCHIAL_AND_BRONCHIOLAR_EPITHELIA","SYSTEMATIC_NAME":"M14511","ORGANISM":"Homo sapiens","PMID":"16491115","AUTHORS":"Nakamura N,Kobayashi K,Nakamoto M,Kohno T,Sasaki H,Matsuno Y,Yokota J","EXACT_SOURCE":"Table 3: Bio, Bia","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Differentiation markers for normal bronchiolar and bronchial epithelial cells.","DESCRIPTION_FULL":"To identify tumor markers and differentiation markers for lung adenocarcinoma (AdC), we analysed expression profiles of 14,500 genes against three cases of type II alveolar epithelial cells, bronchiolar epithelial cells, and bronchial epithelial cells, respectively, and 10 cases of AdC cells isolated by laser capture microdissection. Hierarchical clustering analysis indicated that AdC cells and noncancerous lung epithelial cells are significantly different in their expression profiles, and that different sets of differentiation markers are expressed among alveolar, bronchiolar and bronchial epithelial cells. Nine genes were identified as being highly expressed in AdC cells, but not expressed in noncancerous lung epithelial cells. Sixteen genes were identified as differentiation markers for lung epithelial cells. Real-time RT-PCR analysis of 45 lung AdC cases further revealed that expression of four tumor markers in AdC cells was significantly higher than that in noncancerous lung cells and that expression of ten differentiation markers was retained in a considerable fraction of lung AdC cases. Five tumor markers and seven differentiation markers were not expressed in peripheral blood cells. Similarities and differences in expression profiles between normal epithelial cells from different lung respiratory compartments and AdC cells demonstrated in this study will be informative for the molecular diagnosis of lung AdC."}
{"STANDARD_NAME":"NAKAMURA_LUNG_CANCER_DIFFERENTIATION_MARKERS","SYSTEMATIC_NAME":"M13656","ORGANISM":"Homo sapiens","PMID":"16491115","AUTHORS":"Nakamura N,Kobayashi K,Nakamoto M,Kohno T,Sasaki H,Matsuno Y,Yokota J","EXACT_SOURCE":"Table 4","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"14 candidate differentiation markers in lung adenocarcinoma cells, noncancerous lung cells and peripheral blood cells.","DESCRIPTION_FULL":"To identify tumor markers and differentiation markers for lung adenocarcinoma (AdC), we analysed expression profiles of 14,500 genes against three cases of type II alveolar epithelial cells, bronchiolar epithelial cells, and bronchial epithelial cells, respectively, and 10 cases of AdC cells isolated by laser capture microdissection. Hierarchical clustering analysis indicated that AdC cells and noncancerous lung epithelial cells are significantly different in their expression profiles, and that different sets of differentiation markers are expressed among alveolar, bronchiolar and bronchial epithelial cells. Nine genes were identified as being highly expressed in AdC cells, but not expressed in noncancerous lung epithelial cells. Sixteen genes were identified as differentiation markers for lung epithelial cells. Real-time RT-PCR analysis of 45 lung AdC cases further revealed that expression of four tumor markers in AdC cells was significantly higher than that in noncancerous lung cells and that expression of ten differentiation markers was retained in a considerable fraction of lung AdC cases. Five tumor markers and seven differentiation markers were not expressed in peripheral blood cells. Similarities and differences in expression profiles between normal epithelial cells from different lung respiratory compartments and AdC cells demonstrated in this study will be informative for the molecular diagnosis of lung AdC."}
{"STANDARD_NAME":"MYLLYKANGAS_AMPLIFICATION_HOT_SPOT_17","SYSTEMATIC_NAME":"M14183","ORGANISM":"Homo sapiens","PMID":"16751803","AUTHORS":"Myllykangas S,Himberg J,Böhling T,Nagy B,Hollmén J,Knuutila S","EXACT_SOURCE":"Table 1: 1q11-q44","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Amplification hot spot 17: colocalized fragile sites and cancer genes in the 1q11-q44 region.","DESCRIPTION_FULL":"DNA copy number amplifications activate oncogenes and are hallmarks of nearly all advanced tumors. Amplified genes represent attractive targets for therapy, diagnostics and prognostics. To investigate DNA amplifications in different neoplasms, we performed a bibliomics survey using 838 published chromosomal comparative genomic hybridization studies and collected amplification data at chromosome band resolution from more than 4500 cases. Amplification profiles were determined for 73 distinct neoplasms. Neoplasms were clustered according to the amplification profiles, and frequently amplified chromosomal loci (amplification hot spots) were identified using computational modeling. To investigate the site specificity and mechanisms of gene amplifications, colocalization of amplification hot spots, cancer genes, fragile sites, virus integration sites and gene size cohorts were tested in a statistical framework. Amplification-based clustering demonstrated that cancers with similar etiology, cell-of-origin or topographical location have a tendency to obtain convergent amplification profiles. The identified amplification hot spots were colocalized with the known fragile sites, cancer genes and virus integration sites, but global statistical significance could not be ascertained. Large genes were significantly overrepresented on the fragile sites and the reported amplification hot spots. These findings indicate that amplifications are selected in the cancer tissue environment according to the qualitative traits and localization of cancer genes."}
{"STANDARD_NAME":"MYLLYKANGAS_AMPLIFICATION_HOT_SPOT_24","SYSTEMATIC_NAME":"M16402","ORGANISM":"Homo sapiens","PMID":"16751803","AUTHORS":"Myllykangas S,Himberg J,Böhling T,Nagy B,Hollmén J,Knuutila S","EXACT_SOURCE":"Table 1: 1q21-q24","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Amplification hot spot 24: colocalized fragile sites and cancer genes in the 1q21-q24 region.","DESCRIPTION_FULL":"DNA copy number amplifications activate oncogenes and are hallmarks of nearly all advanced tumors. Amplified genes represent attractive targets for therapy, diagnostics and prognostics. To investigate DNA amplifications in different neoplasms, we performed a bibliomics survey using 838 published chromosomal comparative genomic hybridization studies and collected amplification data at chromosome band resolution from more than 4500 cases. Amplification profiles were determined for 73 distinct neoplasms. Neoplasms were clustered according to the amplification profiles, and frequently amplified chromosomal loci (amplification hot spots) were identified using computational modeling. To investigate the site specificity and mechanisms of gene amplifications, colocalization of amplification hot spots, cancer genes, fragile sites, virus integration sites and gene size cohorts were tested in a statistical framework. Amplification-based clustering demonstrated that cancers with similar etiology, cell-of-origin or topographical location have a tendency to obtain convergent amplification profiles. The identified amplification hot spots were colocalized with the known fragile sites, cancer genes and virus integration sites, but global statistical significance could not be ascertained. Large genes were significantly overrepresented on the fragile sites and the reported amplification hot spots. These findings indicate that amplifications are selected in the cancer tissue environment according to the qualitative traits and localization of cancer genes."}
{"STANDARD_NAME":"MYLLYKANGAS_AMPLIFICATION_HOT_SPOT_25","SYSTEMATIC_NAME":"M16082","ORGANISM":"Homo sapiens","PMID":"16751803","AUTHORS":"Myllykangas S,Himberg J,Böhling T,Nagy B,Hollmén J,Knuutila S","EXACT_SOURCE":"Table 1: 2q13-q36","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Amplification hot spot 25: colocalized fragile sites and cancer genes in the 2q13-q36 region.","DESCRIPTION_FULL":"DNA copy number amplifications activate oncogenes and are hallmarks of nearly all advanced tumors. Amplified genes represent attractive targets for therapy, diagnostics and prognostics. To investigate DNA amplifications in different neoplasms, we performed a bibliomics survey using 838 published chromosomal comparative genomic hybridization studies and collected amplification data at chromosome band resolution from more than 4500 cases. Amplification profiles were determined for 73 distinct neoplasms. Neoplasms were clustered according to the amplification profiles, and frequently amplified chromosomal loci (amplification hot spots) were identified using computational modeling. To investigate the site specificity and mechanisms of gene amplifications, colocalization of amplification hot spots, cancer genes, fragile sites, virus integration sites and gene size cohorts were tested in a statistical framework. Amplification-based clustering demonstrated that cancers with similar etiology, cell-of-origin or topographical location have a tendency to obtain convergent amplification profiles. The identified amplification hot spots were colocalized with the known fragile sites, cancer genes and virus integration sites, but global statistical significance could not be ascertained. Large genes were significantly overrepresented on the fragile sites and the reported amplification hot spots. These findings indicate that amplifications are selected in the cancer tissue environment according to the qualitative traits and localization of cancer genes."}
{"STANDARD_NAME":"MYLLYKANGAS_AMPLIFICATION_HOT_SPOT_7","SYSTEMATIC_NAME":"M8754","ORGANISM":"Homo sapiens","PMID":"16751803","AUTHORS":"Myllykangas S,Himberg J,Böhling T,Nagy B,Hollmén J,Knuutila S","EXACT_SOURCE":"Table 1: 3q26.3-q29","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Amplification hot spot 7: colocalized fragile sites and cancer genes in the 3q26.3-q29 region.","DESCRIPTION_FULL":"DNA copy number amplifications activate oncogenes and are hallmarks of nearly all advanced tumors. Amplified genes represent attractive targets for therapy, diagnostics and prognostics. To investigate DNA amplifications in different neoplasms, we performed a bibliomics survey using 838 published chromosomal comparative genomic hybridization studies and collected amplification data at chromosome band resolution from more than 4500 cases. Amplification profiles were determined for 73 distinct neoplasms. Neoplasms were clustered according to the amplification profiles, and frequently amplified chromosomal loci (amplification hot spots) were identified using computational modeling. To investigate the site specificity and mechanisms of gene amplifications, colocalization of amplification hot spots, cancer genes, fragile sites, virus integration sites and gene size cohorts were tested in a statistical framework. Amplification-based clustering demonstrated that cancers with similar etiology, cell-of-origin or topographical location have a tendency to obtain convergent amplification profiles. The identified amplification hot spots were colocalized with the known fragile sites, cancer genes and virus integration sites, but global statistical significance could not be ascertained. Large genes were significantly overrepresented on the fragile sites and the reported amplification hot spots. These findings indicate that amplifications are selected in the cancer tissue environment according to the qualitative traits and localization of cancer genes."}
{"STANDARD_NAME":"MYLLYKANGAS_AMPLIFICATION_HOT_SPOT_27","SYSTEMATIC_NAME":"M3815","ORGANISM":"Homo sapiens","PMID":"16751803","AUTHORS":"Myllykangas S,Himberg J,Böhling T,Nagy B,Hollmén J,Knuutila S","EXACT_SOURCE":"Table 1: 5p15.3-p15.1; 5p12-q35","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Amplification hot spot 27: colocalized fragile sites and cancer genes in the 5p15.3-p15.1; 5p12-q35 region.","DESCRIPTION_FULL":"DNA copy number amplifications activate oncogenes and are hallmarks of nearly all advanced tumors. Amplified genes represent attractive targets for therapy, diagnostics and prognostics. To investigate DNA amplifications in different neoplasms, we performed a bibliomics survey using 838 published chromosomal comparative genomic hybridization studies and collected amplification data at chromosome band resolution from more than 4500 cases. Amplification profiles were determined for 73 distinct neoplasms. Neoplasms were clustered according to the amplification profiles, and frequently amplified chromosomal loci (amplification hot spots) were identified using computational modeling. To investigate the site specificity and mechanisms of gene amplifications, colocalization of amplification hot spots, cancer genes, fragile sites, virus integration sites and gene size cohorts were tested in a statistical framework. Amplification-based clustering demonstrated that cancers with similar etiology, cell-of-origin or topographical location have a tendency to obtain convergent amplification profiles. The identified amplification hot spots were colocalized with the known fragile sites, cancer genes and virus integration sites, but global statistical significance could not be ascertained. Large genes were significantly overrepresented on the fragile sites and the reported amplification hot spots. These findings indicate that amplifications are selected in the cancer tissue environment according to the qualitative traits and localization of cancer genes."}
{"STANDARD_NAME":"MYLLYKANGAS_AMPLIFICATION_HOT_SPOT_15","SYSTEMATIC_NAME":"M7559","ORGANISM":"Homo sapiens","PMID":"16751803","AUTHORS":"Myllykangas S,Himberg J,Böhling T,Nagy B,Hollmén J,Knuutila S","EXACT_SOURCE":"Table 1: 6p25-p11.1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Amplification hot spot 15: colocalized fragile sites and cancer genes in the 6p25-p11.1 region.","DESCRIPTION_FULL":"DNA copy number amplifications activate oncogenes and are hallmarks of nearly all advanced tumors. Amplified genes represent attractive targets for therapy, diagnostics and prognostics. To investigate DNA amplifications in different neoplasms, we performed a bibliomics survey using 838 published chromosomal comparative genomic hybridization studies and collected amplification data at chromosome band resolution from more than 4500 cases. Amplification profiles were determined for 73 distinct neoplasms. Neoplasms were clustered according to the amplification profiles, and frequently amplified chromosomal loci (amplification hot spots) were identified using computational modeling. To investigate the site specificity and mechanisms of gene amplifications, colocalization of amplification hot spots, cancer genes, fragile sites, virus integration sites and gene size cohorts were tested in a statistical framework. Amplification-based clustering demonstrated that cancers with similar etiology, cell-of-origin or topographical location have a tendency to obtain convergent amplification profiles. The identified amplification hot spots were colocalized with the known fragile sites, cancer genes and virus integration sites, but global statistical significance could not be ascertained. Large genes were significantly overrepresented on the fragile sites and the reported amplification hot spots. These findings indicate that amplifications are selected in the cancer tissue environment according to the qualitative traits and localization of cancer genes."}
{"STANDARD_NAME":"MYLLYKANGAS_AMPLIFICATION_HOT_SPOT_29","SYSTEMATIC_NAME":"M762","ORGANISM":"Homo sapiens","PMID":"16751803","AUTHORS":"Myllykangas S,Himberg J,Böhling T,Nagy B,Hollmén J,Knuutila S","EXACT_SOURCE":"Table 1: 7p22-p13","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Amplification hot spot 29: colocolized fragile sites and cancer genes in the 7p22-p13 region.","DESCRIPTION_FULL":"DNA copy number amplifications activate oncogenes and are hallmarks of nearly all advanced tumors. Amplified genes represent attractive targets for therapy, diagnostics and prognostics. To investigate DNA amplifications in different neoplasms, we performed a bibliomics survey using 838 published chromosomal comparative genomic hybridization studies and collected amplification data at chromosome band resolution from more than 4500 cases. Amplification profiles were determined for 73 distinct neoplasms. Neoplasms were clustered according to the amplification profiles, and frequently amplified chromosomal loci (amplification hot spots) were identified using computational modeling. To investigate the site specificity and mechanisms of gene amplifications, colocalization of amplification hot spots, cancer genes, fragile sites, virus integration sites and gene size cohorts were tested in a statistical framework. Amplification-based clustering demonstrated that cancers with similar etiology, cell-of-origin or topographical location have a tendency to obtain convergent amplification profiles. The identified amplification hot spots were colocalized with the known fragile sites, cancer genes and virus integration sites, but global statistical significance could not be ascertained. Large genes were significantly overrepresented on the fragile sites and the reported amplification hot spots. These findings indicate that amplifications are selected in the cancer tissue environment according to the qualitative traits and localization of cancer genes."}
{"STANDARD_NAME":"MYLLYKANGAS_AMPLIFICATION_HOT_SPOT_9","SYSTEMATIC_NAME":"M9239","ORGANISM":"Homo sapiens","PMID":"16751803","AUTHORS":"Myllykangas S,Himberg J,Böhling T,Nagy B,Hollmén J,Knuutila S","EXACT_SOURCE":"Table 1: 8p23-q12; 8q23","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Amplification hot spot 9: colocolized fragile sites and cancer genes in the 8p23-q12; 8q23 region.","DESCRIPTION_FULL":"DNA copy number amplifications activate oncogenes and are hallmarks of nearly all advanced tumors. Amplified genes represent attractive targets for therapy, diagnostics and prognostics. To investigate DNA amplifications in different neoplasms, we performed a bibliomics survey using 838 published chromosomal comparative genomic hybridization studies and collected amplification data at chromosome band resolution from more than 4500 cases. Amplification profiles were determined for 73 distinct neoplasms. Neoplasms were clustered according to the amplification profiles, and frequently amplified chromosomal loci (amplification hot spots) were identified using computational modeling. To investigate the site specificity and mechanisms of gene amplifications, colocalization of amplification hot spots, cancer genes, fragile sites, virus integration sites and gene size cohorts were tested in a statistical framework. Amplification-based clustering demonstrated that cancers with similar etiology, cell-of-origin or topographical location have a tendency to obtain convergent amplification profiles. The identified amplification hot spots were colocalized with the known fragile sites, cancer genes and virus integration sites, but global statistical significance could not be ascertained. Large genes were significantly overrepresented on the fragile sites and the reported amplification hot spots. These findings indicate that amplifications are selected in the cancer tissue environment according to the qualitative traits and localization of cancer genes."}
{"STANDARD_NAME":"MYLLYKANGAS_AMPLIFICATION_HOT_SPOT_16","SYSTEMATIC_NAME":"M9291","ORGANISM":"Homo sapiens","PMID":"16751803","AUTHORS":"Myllykangas S,Himberg J,Böhling T,Nagy B,Hollmén J,Knuutila S","EXACT_SOURCE":"Table 1: 8q11.1-q24.3","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Amplification hot spot 16: colocolized fragile sites and cancer genes in the 8q11.1-q24.3 region.","DESCRIPTION_FULL":"DNA copy number amplifications activate oncogenes and are hallmarks of nearly all advanced tumors. Amplified genes represent attractive targets for therapy, diagnostics and prognostics. To investigate DNA amplifications in different neoplasms, we performed a bibliomics survey using 838 published chromosomal comparative genomic hybridization studies and collected amplification data at chromosome band resolution from more than 4500 cases. Amplification profiles were determined for 73 distinct neoplasms. Neoplasms were clustered according to the amplification profiles, and frequently amplified chromosomal loci (amplification hot spots) were identified using computational modeling. To investigate the site specificity and mechanisms of gene amplifications, colocalization of amplification hot spots, cancer genes, fragile sites, virus integration sites and gene size cohorts were tested in a statistical framework. Amplification-based clustering demonstrated that cancers with similar etiology, cell-of-origin or topographical location have a tendency to obtain convergent amplification profiles. The identified amplification hot spots were colocalized with the known fragile sites, cancer genes and virus integration sites, but global statistical significance could not be ascertained. Large genes were significantly overrepresented on the fragile sites and the reported amplification hot spots. These findings indicate that amplifications are selected in the cancer tissue environment according to the qualitative traits and localization of cancer genes."}
{"STANDARD_NAME":"EBAUER_TARGETS_OF_PAX3_FOXO1_FUSION_DN","SYSTEMATIC_NAME":"M7778","ORGANISM":"Homo sapiens","PMID":"17525748","AUTHORS":"Ebauer M,Wachtel M,Niggli FK,Schäfer BW","EXACT_SOURCE":"Table 1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in Rh4 cells (alveolar rhabdomyosarcoma, ARMS) after knockdown of the PAX3-FOXO1 [GeneiD=5077;2308] fusion protein by RNAi for 72 hr.","DESCRIPTION_FULL":"The chromosomal translocation t(2;13), characteristic for the aggressive childhood cancer alveolar rhabdomyosarcoma (aRMS), generates the chimeric transcription factor PAX3/FKHR with a well known oncogenic role. However, the molecular mechanisms mediating essential pathophysiological functions remain poorly defined. Here, we used comparative expression profiling of PAX3/FKHR silencing in vitro and PAX3/FKHR-specific gene signatures in vivo to identify physiologically important target genes. Hereby, 51 activated genes, both novel and known, were identified. We also found repression of skeletal muscle-specific genes suggesting that PAX3/FKHR blocks further differentiation of aRMS cells. Importantly, TFAP2B was validated as direct target gene mediating the anti-apoptotic function of PAX3/FKHR. Hence, we developed a pathophysiologically relevant transcriptional profile of PAX3/FKHR and identified a critical target gene for aRMS development."}
{"STANDARD_NAME":"MYLLYKANGAS_AMPLIFICATION_HOT_SPOT_8","SYSTEMATIC_NAME":"M5304","ORGANISM":"Homo sapiens","PMID":"16751803","AUTHORS":"Myllykangas S,Himberg J,Böhling T,Nagy B,Hollmén J,Knuutila S","EXACT_SOURCE":"Table 1: 9q11-q34A","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Amplification hot spot 8: colocolized fragile sites and cancer genes in the 9q11-34 region.","DESCRIPTION_FULL":"DNA copy number amplifications activate oncogenes and are hallmarks of nearly all advanced tumors. Amplified genes represent attractive targets for therapy, diagnostics and prognostics. To investigate DNA amplifications in different neoplasms, we performed a bibliomics survey using 838 published chromosomal comparative genomic hybridization studies and collected amplification data at chromosome band resolution from more than 4500 cases. Amplification profiles were determined for 73 distinct neoplasms. Neoplasms were clustered according to the amplification profiles, and frequently amplified chromosomal loci (amplification hot spots) were identified using computational modeling. To investigate the site specificity and mechanisms of gene amplifications, colocalization of amplification hot spots, cancer genes, fragile sites, virus integration sites and gene size cohorts were tested in a statistical framework. Amplification-based clustering demonstrated that cancers with similar etiology, cell-of-origin or topographical location have a tendency to obtain convergent amplification profiles. The identified amplification hot spots were colocalized with the known fragile sites, cancer genes and virus integration sites, but global statistical significance could not be ascertained. Large genes were significantly overrepresented on the fragile sites and the reported amplification hot spots. These findings indicate that amplifications are selected in the cancer tissue environment according to the qualitative traits and localization of cancer genes."}
{"STANDARD_NAME":"MYLLYKANGAS_AMPLIFICATION_HOT_SPOT_23","SYSTEMATIC_NAME":"M13194","ORGANISM":"Homo sapiens","PMID":"16751803","AUTHORS":"Myllykangas S,Himberg J,Böhling T,Nagy B,Hollmén J,Knuutila S","EXACT_SOURCE":"Table 1: 11q12-q25","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Amplification hot spot 23: colocolized fragile sites and cancer genes in the 11q12-q25 region.","DESCRIPTION_FULL":"DNA copy number amplifications activate oncogenes and are hallmarks of nearly all advanced tumors. Amplified genes represent attractive targets for therapy, diagnostics and prognostics. To investigate DNA amplifications in different neoplasms, we performed a bibliomics survey using 838 published chromosomal comparative genomic hybridization studies and collected amplification data at chromosome band resolution from more than 4500 cases. Amplification profiles were determined for 73 distinct neoplasms. Neoplasms were clustered according to the amplification profiles, and frequently amplified chromosomal loci (amplification hot spots) were identified using computational modeling. To investigate the site specificity and mechanisms of gene amplifications, colocalization of amplification hot spots, cancer genes, fragile sites, virus integration sites and gene size cohorts were tested in a statistical framework. Amplification-based clustering demonstrated that cancers with similar etiology, cell-of-origin or topographical location have a tendency to obtain convergent amplification profiles. The identified amplification hot spots were colocalized with the known fragile sites, cancer genes and virus integration sites, but global statistical significance could not be ascertained. Large genes were significantly overrepresented on the fragile sites and the reported amplification hot spots. These findings indicate that amplifications are selected in the cancer tissue environment according to the qualitative traits and localization of cancer genes."}
{"STANDARD_NAME":"MYLLYKANGAS_AMPLIFICATION_HOT_SPOT_2","SYSTEMATIC_NAME":"M1176","ORGANISM":"Homo sapiens","PMID":"16751803","AUTHORS":"Myllykangas S,Himberg J,Böhling T,Nagy B,Hollmén J,Knuutila S","EXACT_SOURCE":"Table 1: 12p13-p11.1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Amplification hot spot 2: colocolized fragile sites and cancer genes in the 12p13-p11.1 region.","DESCRIPTION_FULL":"DNA copy number amplifications activate oncogenes and are hallmarks of nearly all advanced tumors. Amplified genes represent attractive targets for therapy, diagnostics and prognostics. To investigate DNA amplifications in different neoplasms, we performed a bibliomics survey using 838 published chromosomal comparative genomic hybridization studies and collected amplification data at chromosome band resolution from more than 4500 cases. Amplification profiles were determined for 73 distinct neoplasms. Neoplasms were clustered according to the amplification profiles, and frequently amplified chromosomal loci (amplification hot spots) were identified using computational modeling. To investigate the site specificity and mechanisms of gene amplifications, colocalization of amplification hot spots, cancer genes, fragile sites, virus integration sites and gene size cohorts were tested in a statistical framework. Amplification-based clustering demonstrated that cancers with similar etiology, cell-of-origin or topographical location have a tendency to obtain convergent amplification profiles. The identified amplification hot spots were colocalized with the known fragile sites, cancer genes and virus integration sites, but global statistical significance could not be ascertained. Large genes were significantly overrepresented on the fragile sites and the reported amplification hot spots. These findings indicate that amplifications are selected in the cancer tissue environment according to the qualitative traits and localization of cancer genes."}
{"STANDARD_NAME":"MYLLYKANGAS_AMPLIFICATION_HOT_SPOT_21","SYSTEMATIC_NAME":"M8406","ORGANISM":"Homo sapiens","PMID":"16751803","AUTHORS":"Myllykangas S,Himberg J,Böhling T,Nagy B,Hollmén J,Knuutila S","EXACT_SOURCE":"Table 1: 12q13-q21","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Amplification hot spot 21: colocolized fragile sites and cancer genes in the 12q13-q21 region.","DESCRIPTION_FULL":"DNA copy number amplifications activate oncogenes and are hallmarks of nearly all advanced tumors. Amplified genes represent attractive targets for therapy, diagnostics and prognostics. To investigate DNA amplifications in different neoplasms, we performed a bibliomics survey using 838 published chromosomal comparative genomic hybridization studies and collected amplification data at chromosome band resolution from more than 4500 cases. Amplification profiles were determined for 73 distinct neoplasms. Neoplasms were clustered according to the amplification profiles, and frequently amplified chromosomal loci (amplification hot spots) were identified using computational modeling. To investigate the site specificity and mechanisms of gene amplifications, colocalization of amplification hot spots, cancer genes, fragile sites, virus integration sites and gene size cohorts were tested in a statistical framework. Amplification-based clustering demonstrated that cancers with similar etiology, cell-of-origin or topographical location have a tendency to obtain convergent amplification profiles. The identified amplification hot spots were colocalized with the known fragile sites, cancer genes and virus integration sites, but global statistical significance could not be ascertained. Large genes were significantly overrepresented on the fragile sites and the reported amplification hot spots. These findings indicate that amplifications are selected in the cancer tissue environment according to the qualitative traits and localization of cancer genes."}
{"STANDARD_NAME":"MYLLYKANGAS_AMPLIFICATION_HOT_SPOT_30","SYSTEMATIC_NAME":"M14194","ORGANISM":"Homo sapiens","PMID":"16751803","AUTHORS":"Myllykangas S,Himberg J,Böhling T,Nagy B,Hollmén J,Knuutila S","EXACT_SOURCE":"Table 1: 12q21-q24.3","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Amplification hot spot 30: colocolized fragile sites and cancer genes in the 12q21-q24.3 region.","DESCRIPTION_FULL":"DNA copy number amplifications activate oncogenes and are hallmarks of nearly all advanced tumors. Amplified genes represent attractive targets for therapy, diagnostics and prognostics. To investigate DNA amplifications in different neoplasms, we performed a bibliomics survey using 838 published chromosomal comparative genomic hybridization studies and collected amplification data at chromosome band resolution from more than 4500 cases. Amplification profiles were determined for 73 distinct neoplasms. Neoplasms were clustered according to the amplification profiles, and frequently amplified chromosomal loci (amplification hot spots) were identified using computational modeling. To investigate the site specificity and mechanisms of gene amplifications, colocalization of amplification hot spots, cancer genes, fragile sites, virus integration sites and gene size cohorts were tested in a statistical framework. Amplification-based clustering demonstrated that cancers with similar etiology, cell-of-origin or topographical location have a tendency to obtain convergent amplification profiles. The identified amplification hot spots were colocalized with the known fragile sites, cancer genes and virus integration sites, but global statistical significance could not be ascertained. Large genes were significantly overrepresented on the fragile sites and the reported amplification hot spots. These findings indicate that amplifications are selected in the cancer tissue environment according to the qualitative traits and localization of cancer genes."}
{"STANDARD_NAME":"MYLLYKANGAS_AMPLIFICATION_HOT_SPOT_6","SYSTEMATIC_NAME":"M1179","ORGANISM":"Homo sapiens","PMID":"16751803","AUTHORS":"Myllykangas S,Himberg J,Böhling T,Nagy B,Hollmén J,Knuutila S","EXACT_SOURCE":"Table 1: 17p13-p11.1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Amplification hot spot 6: colocolized fragile sites and cancer genes in the 17p13-p11.1 region.","DESCRIPTION_FULL":"DNA copy number amplifications activate oncogenes and are hallmarks of nearly all advanced tumors. Amplified genes represent attractive targets for therapy, diagnostics and prognostics. To investigate DNA amplifications in different neoplasms, we performed a bibliomics survey using 838 published chromosomal comparative genomic hybridization studies and collected amplification data at chromosome band resolution from more than 4500 cases. Amplification profiles were determined for 73 distinct neoplasms. Neoplasms were clustered according to the amplification profiles, and frequently amplified chromosomal loci (amplification hot spots) were identified using computational modeling. To investigate the site specificity and mechanisms of gene amplifications, colocalization of amplification hot spots, cancer genes, fragile sites, virus integration sites and gene size cohorts were tested in a statistical framework. Amplification-based clustering demonstrated that cancers with similar etiology, cell-of-origin or topographical location have a tendency to obtain convergent amplification profiles. The identified amplification hot spots were colocalized with the known fragile sites, cancer genes and virus integration sites, but global statistical significance could not be ascertained. Large genes were significantly overrepresented on the fragile sites and the reported amplification hot spots. These findings indicate that amplifications are selected in the cancer tissue environment according to the qualitative traits and localization of cancer genes."}
{"STANDARD_NAME":"LUI_THYROID_CANCER_CLUSTER_1","SYSTEMATIC_NAME":"M2135","ORGANISM":"Homo sapiens","PMID":"15608688","AUTHORS":"Lui WO,Foukakis T,Lidén J,Thoppe SR,Dwight T,Höög A,Zedenius J,Wallin G,Reimers M,Larsson C","EXACT_SOURCE":"Table 1S: Cluster 1","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster 1: genes with similar expression profiles across follicular thyrorid carcinoma (FTC) samples.","DESCRIPTION_FULL":"The demonstration of the PAX8-PPAR(gamma) fusion oncogene in a subset of follicular thyroid tumors provides a new and promising starting point to dissect the molecular genetic events involved in the development of this tumor form. In the present study, we compared the gene expression profiles of follicular thyroid carcinomas (FTCs) bearing a PAX8-PPAR(gamma) fusion against FTCs that lack this fusion. Using unsupervised clustering and multidimensional scaling analyses, we show that FTCs possessing a PAX8-PPAR(gamma) fusion have a highly uniform and distinct gene expression signature that clearly distinguishes them from FTCs without the fusion. The PAX8-PPAR(gamma)(+) FTCs grouped in a defined cluster, where highly ranked genes were mostly associated with signal transduction, cell growth and translation control. Notably, a large number of ribosomal protein and translation-associated genes were concurrently underexpressed in the FTCs with the fusion. Taken together, our findings further support that follicular carcinomas with a PAX8-PPAR(gamma) rearrangement constitute a distinct biological entity. The current data represent one step to elucidate the molecular pathways in the development of FTCs with the specific PAX8-PPAR(gamma) fusion."}
{"STANDARD_NAME":"LUI_THYROID_CANCER_CLUSTER_2","SYSTEMATIC_NAME":"M7343","ORGANISM":"Homo sapiens","PMID":"15608688","AUTHORS":"Lui WO,Foukakis T,Lidén J,Thoppe SR,Dwight T,Höög A,Zedenius J,Wallin G,Reimers M,Larsson C","EXACT_SOURCE":"Table 1S: Cluster 2","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster 2: genes with similar expression profiles across follicular thyroid carcinoma (FTC) samples.","DESCRIPTION_FULL":"The demonstration of the PAX8-PPAR(gamma) fusion oncogene in a subset of follicular thyroid tumors provides a new and promising starting point to dissect the molecular genetic events involved in the development of this tumor form. In the present study, we compared the gene expression profiles of follicular thyroid carcinomas (FTCs) bearing a PAX8-PPAR(gamma) fusion against FTCs that lack this fusion. Using unsupervised clustering and multidimensional scaling analyses, we show that FTCs possessing a PAX8-PPAR(gamma) fusion have a highly uniform and distinct gene expression signature that clearly distinguishes them from FTCs without the fusion. The PAX8-PPAR(gamma)(+) FTCs grouped in a defined cluster, where highly ranked genes were mostly associated with signal transduction, cell growth and translation control. Notably, a large number of ribosomal protein and translation-associated genes were concurrently underexpressed in the FTCs with the fusion. Taken together, our findings further support that follicular carcinomas with a PAX8-PPAR(gamma) rearrangement constitute a distinct biological entity. The current data represent one step to elucidate the molecular pathways in the development of FTCs with the specific PAX8-PPAR(gamma) fusion."}
{"STANDARD_NAME":"MYLLYKANGAS_AMPLIFICATION_HOT_SPOT_22","SYSTEMATIC_NAME":"M11594","ORGANISM":"Homo sapiens","PMID":"16751803","AUTHORS":"Myllykangas S,Himberg J,Böhling T,Nagy B,Hollmén J,Knuutila S","EXACT_SOURCE":"Table 1: 22q11.1-q13s","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Amplification hot spot 22: colocolized fragile sites and cancer genes in the 22q11.1-q13s region.","DESCRIPTION_FULL":"DNA copy number amplifications activate oncogenes and are hallmarks of nearly all advanced tumors. Amplified genes represent attractive targets for therapy, diagnostics and prognostics. To investigate DNA amplifications in different neoplasms, we performed a bibliomics survey using 838 published chromosomal comparative genomic hybridization studies and collected amplification data at chromosome band resolution from more than 4500 cases. Amplification profiles were determined for 73 distinct neoplasms. Neoplasms were clustered according to the amplification profiles, and frequently amplified chromosomal loci (amplification hot spots) were identified using computational modeling. To investigate the site specificity and mechanisms of gene amplifications, colocalization of amplification hot spots, cancer genes, fragile sites, virus integration sites and gene size cohorts were tested in a statistical framework. Amplification-based clustering demonstrated that cancers with similar etiology, cell-of-origin or topographical location have a tendency to obtain convergent amplification profiles. The identified amplification hot spots were colocalized with the known fragile sites, cancer genes and virus integration sites, but global statistical significance could not be ascertained. Large genes were significantly overrepresented on the fragile sites and the reported amplification hot spots. These findings indicate that amplifications are selected in the cancer tissue environment according to the qualitative traits and localization of cancer genes."}
{"STANDARD_NAME":"MYLLYKANGAS_AMPLIFICATION_HOT_SPOT_1","SYSTEMATIC_NAME":"M5931","ORGANISM":"Homo sapiens","PMID":"16751803","AUTHORS":"Myllykangas S,Himberg J,Böhling T,Nagy B,Hollmén J,Knuutila S","EXACT_SOURCE":"Table 1: Xp22.3-p11.1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Amplification hot spot 1: colocolized fragile sites and cancer genes in the Xp22.3-p11.1 region.","DESCRIPTION_FULL":"DNA copy number amplifications activate oncogenes and are hallmarks of nearly all advanced tumors. Amplified genes represent attractive targets for therapy, diagnostics and prognostics. To investigate DNA amplifications in different neoplasms, we performed a bibliomics survey using 838 published chromosomal comparative genomic hybridization studies and collected amplification data at chromosome band resolution from more than 4500 cases. Amplification profiles were determined for 73 distinct neoplasms. Neoplasms were clustered according to the amplification profiles, and frequently amplified chromosomal loci (amplification hot spots) were identified using computational modeling. To investigate the site specificity and mechanisms of gene amplifications, colocalization of amplification hot spots, cancer genes, fragile sites, virus integration sites and gene size cohorts were tested in a statistical framework. Amplification-based clustering demonstrated that cancers with similar etiology, cell-of-origin or topographical location have a tendency to obtain convergent amplification profiles. The identified amplification hot spots were colocalized with the known fragile sites, cancer genes and virus integration sites, but global statistical significance could not be ascertained. Large genes were significantly overrepresented on the fragile sites and the reported amplification hot spots. These findings indicate that amplifications are selected in the cancer tissue environment according to the qualitative traits and localization of cancer genes."}
{"STANDARD_NAME":"MYLLYKANGAS_AMPLIFICATION_HOT_SPOT_13","SYSTEMATIC_NAME":"M2750","ORGANISM":"Homo sapiens","PMID":"16751803","AUTHORS":"Myllykangas S,Himberg J,Böhling T,Nagy B,Hollmén J,Knuutila S","EXACT_SOURCE":"Table 1: Xq12-q28","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Amplification hot spot 13: colocolized fragile sites and cancer genes in the Xq12-q28 region.","DESCRIPTION_FULL":"DNA copy number amplifications activate oncogenes and are hallmarks of nearly all advanced tumors. Amplified genes represent attractive targets for therapy, diagnostics and prognostics. To investigate DNA amplifications in different neoplasms, we performed a bibliomics survey using 838 published chromosomal comparative genomic hybridization studies and collected amplification data at chromosome band resolution from more than 4500 cases. Amplification profiles were determined for 73 distinct neoplasms. Neoplasms were clustered according to the amplification profiles, and frequently amplified chromosomal loci (amplification hot spots) were identified using computational modeling. To investigate the site specificity and mechanisms of gene amplifications, colocalization of amplification hot spots, cancer genes, fragile sites, virus integration sites and gene size cohorts were tested in a statistical framework. Amplification-based clustering demonstrated that cancers with similar etiology, cell-of-origin or topographical location have a tendency to obtain convergent amplification profiles. The identified amplification hot spots were colocalized with the known fragile sites, cancer genes and virus integration sites, but global statistical significance could not be ascertained. Large genes were significantly overrepresented on the fragile sites and the reported amplification hot spots. These findings indicate that amplifications are selected in the cancer tissue environment according to the qualitative traits and localization of cancer genes."}
{"STANDARD_NAME":"GRASEMANN_RETINOBLASTOMA_WITH_6P_AMPLIFICATION","SYSTEMATIC_NAME":"M14308","ORGANISM":"Homo sapiens","PMID":"16007192","AUTHORS":"Grasemann C,Gratias S,Stephan H,Schüler A,Schramm A,Klein-Hitpass L,Rieder H,Schneider S,Kappes F,Eggert A,Lohmann DR","EXACT_SOURCE":"Table 3","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes changed in retinoblastoma tumors with respect to chromosome 6p amplifications.","DESCRIPTION_FULL":"The paediatric eye tumour retinoblastoma is initiated by inactivation of RB1, a tumour suppressor on chromosome 13q. In addition to RB1 loss, many retinoblastomas show other genetic alterations including gains on chromosomes 6p21-pter and 1q31-q32. Recently, the minimal region of gains on chromosome 6 was narrowed to band p22. We examined genomic gains and expression changes in primary retinoblastomas to identify potential target genes in 6p22. Quantitative multiplex PCR detected copy numbers > or = 3 in 25 (33%) tumours and no gains in 31 of 76 (40%) tumours. The remaining 20 (26%) samples showed gains only at some loci, most often including E2F3 and DEK in 6p22.3. Analysis of RNA from 21 primary retinoblastomas showed that expression levels of these and some other genes in 6p22 correspond to DNA gains. However, KIF 13A, a reported candidate oncogene on 6p, was expressed at low levels or absent. Clinical manifestation of tumours with gains at all 6p22 loci was distinct in that distribution of age at diagnosis was markedly shifted to older age compared to tumours with no or partial gains. In summary, our results suggest that DEK and E2F3 are potential targets of 6p gains in retinoblastoma."}
{"STANDARD_NAME":"SCHLOSSER_SERUM_RESPONSE_UP","SYSTEMATIC_NAME":"M16381","ORGANISM":"Homo sapiens","PMID":"15516975","AUTHORS":"Schlosser I,Hölzel M,Hoffmann R,Burtscher H,Kohlhuber F,Schuhmacher M,Chapman R,Weidle UH,Eick D","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster 1: genes up-regulated in B493-6 cells (B lymphocytes) upon serum stimulation but not by affected by MYC [GeneID=4609].","DESCRIPTION_FULL":"Proliferation of higher eukaryotic cells is triggered by the proto-oncogene c-myc (myc), which is induced downstream of a large number of growth factor receptors. Myc, a basic helix-loop-helix leucine zipper transcription factor, transmits growth signals by up- and downregulation of target genes. The importance of Myc in growth control is well established. However, the number of growth control genes requiring Myc as an essential factor for regulation after mitogenic stimulation of cells is not yet clear. Here, we have studied the transcriptional programme of a human B-cell line, P493-6, in response to Myc and serum. P493-6 cells do not express the endogenous myc, nor is it induced by serum stimulation. Proliferation of the cells is dependent upon both the expression of a tetracycline-regulated myc gene and serum stimulation. Using DNA microarrays, expression profiling was performed following stimulation of cells with serum, with Myc, or with both. We observed serum regulation of >1000 genes. A number of these genes were synergistically or antagonistically regulated by Myc. Moreover, we identified >300 Myc-regulated genes that were almost unresponsive to serum. Gene ontology analysis revealed that a high proportion of Myc target genes are involved in ribosome biogenesis and tRNA metabolism. The data support our current notion that Myc is essential for the regulation of a large number of growth-related genes in B cells, and cannot be replaced by other serum-induced factors."}
{"STANDARD_NAME":"SCHLOSSER_SERUM_RESPONSE_AUGMENTED_BY_MYC","SYSTEMATIC_NAME":"M15801","ORGANISM":"Homo sapiens","PMID":"15516975","AUTHORS":"Schlosser I,Hölzel M,Hoffmann R,Burtscher H,Kohlhuber F,Schuhmacher M,Chapman R,Weidle UH,Eick D","EXACT_SOURCE":"Table 2S","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster 2: genes up-regulated in B493-6 cells (B lymphocytes) by serum alone or in combination with MYC [GeneID=4609] but not by MYC alone.","DESCRIPTION_FULL":"Proliferation of higher eukaryotic cells is triggered by the proto-oncogene c-myc (myc), which is induced downstream of a large number of growth factor receptors. Myc, a basic helix-loop-helix leucine zipper transcription factor, transmits growth signals by up- and downregulation of target genes. The importance of Myc in growth control is well established. However, the number of growth control genes requiring Myc as an essential factor for regulation after mitogenic stimulation of cells is not yet clear. Here, we have studied the transcriptional programme of a human B-cell line, P493-6, in response to Myc and serum. P493-6 cells do not express the endogenous myc, nor is it induced by serum stimulation. Proliferation of the cells is dependent upon both the expression of a tetracycline-regulated myc gene and serum stimulation. Using DNA microarrays, expression profiling was performed following stimulation of cells with serum, with Myc, or with both. We observed serum regulation of >1000 genes. A number of these genes were synergistically or antagonistically regulated by Myc. Moreover, we identified >300 Myc-regulated genes that were almost unresponsive to serum. Gene ontology analysis revealed that a high proportion of Myc target genes are involved in ribosome biogenesis and tRNA metabolism. The data support our current notion that Myc is essential for the regulation of a large number of growth-related genes in B cells, and cannot be replaced by other serum-induced factors."}
{"STANDARD_NAME":"SCHLOSSER_MYC_AND_SERUM_RESPONSE_SYNERGY","SYSTEMATIC_NAME":"M16789","ORGANISM":"Homo sapiens","PMID":"15516975","AUTHORS":"Schlosser I,Hölzel M,Hoffmann R,Burtscher H,Kohlhuber F,Schuhmacher M,Chapman R,Weidle UH,Eick D","EXACT_SOURCE":"Table 3S","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster 3: genes strongly up-regulated in B493-6 cells (B lymphocytes) by a combination of MYC [GeneID=4609] and serum but not by each of them alone.","DESCRIPTION_FULL":"Proliferation of higher eukaryotic cells is triggered by the proto-oncogene c-myc (myc), which is induced downstream of a large number of growth factor receptors. Myc, a basic helix-loop-helix leucine zipper transcription factor, transmits growth signals by up- and downregulation of target genes. The importance of Myc in growth control is well established. However, the number of growth control genes requiring Myc as an essential factor for regulation after mitogenic stimulation of cells is not yet clear. Here, we have studied the transcriptional programme of a human B-cell line, P493-6, in response to Myc and serum. P493-6 cells do not express the endogenous myc, nor is it induced by serum stimulation. Proliferation of the cells is dependent upon both the expression of a tetracycline-regulated myc gene and serum stimulation. Using DNA microarrays, expression profiling was performed following stimulation of cells with serum, with Myc, or with both. We observed serum regulation of >1000 genes. A number of these genes were synergistically or antagonistically regulated by Myc. Moreover, we identified >300 Myc-regulated genes that were almost unresponsive to serum. Gene ontology analysis revealed that a high proportion of Myc target genes are involved in ribosome biogenesis and tRNA metabolism. The data support our current notion that Myc is essential for the regulation of a large number of growth-related genes in B cells, and cannot be replaced by other serum-induced factors."}
{"STANDARD_NAME":"SCHLOSSER_MYC_TARGETS_AND_SERUM_RESPONSE_UP","SYSTEMATIC_NAME":"M14278","ORGANISM":"Homo sapiens","PMID":"15516975","AUTHORS":"Schlosser I,Hölzel M,Hoffmann R,Burtscher H,Kohlhuber F,Schuhmacher M,Chapman R,Weidle UH,Eick D","EXACT_SOURCE":"Table 5S","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster 5: genes up-regulated in B493-6 cells (B lymphocytes) by MYC [GeneID=4609] alone or in combination with serum but not by serum alone.","DESCRIPTION_FULL":"Proliferation of higher eukaryotic cells is triggered by the proto-oncogene c-myc (myc), which is induced downstream of a large number of growth factor receptors. Myc, a basic helix-loop-helix leucine zipper transcription factor, transmits growth signals by up- and downregulation of target genes. The importance of Myc in growth control is well established. However, the number of growth control genes requiring Myc as an essential factor for regulation after mitogenic stimulation of cells is not yet clear. Here, we have studied the transcriptional programme of a human B-cell line, P493-6, in response to Myc and serum. P493-6 cells do not express the endogenous myc, nor is it induced by serum stimulation. Proliferation of the cells is dependent upon both the expression of a tetracycline-regulated myc gene and serum stimulation. Using DNA microarrays, expression profiling was performed following stimulation of cells with serum, with Myc, or with both. We observed serum regulation of >1000 genes. A number of these genes were synergistically or antagonistically regulated by Myc. Moreover, we identified >300 Myc-regulated genes that were almost unresponsive to serum. Gene ontology analysis revealed that a high proportion of Myc target genes are involved in ribosome biogenesis and tRNA metabolism. The data support our current notion that Myc is essential for the regulation of a large number of growth-related genes in B cells, and cannot be replaced by other serum-induced factors."}
{"STANDARD_NAME":"MATTIOLI_MULTIPLE_MYELOMA_SUBGROUPS","SYSTEMATIC_NAME":"M15055","ORGANISM":"Homo sapiens","PMID":"15735737","AUTHORS":"Mattioli M,Agnelli L,Fabris S,Baldini L,Morabito F,Bicciato S,Verdelli D,Intini D,Nobili L,Cro L,Pruneri G,Callea V,Stelitano C,Maiolo AT,Lombardi L,Neri A","GEOID":"GSE2113","EXACT_SOURCE":"Table 3S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes differentially expressed in multiple myeloma (MM) patients: comparison of MGUS-like vs PCL-like samples; MGUS=monoclonal gammopathy of undetermined significance, PCL=plasma cell leukemia.","DESCRIPTION_FULL":"Multiple myeloma (MM) is the most common form of plasma cell dyscrasia, characterized by a marked heterogeneity of genetic lesions and clinical course. It may develop from a premalignant condition (monoclonal gammopathy of undetermined significance, MGUS) or progress from intramedullary to extramedullary forms (plasma cell leukemia, PCL). To provide insights into the molecular characterization of plasma cell dyscrasias and to investigate the contribution of specific genetic lesions to the biological and clinical heterogeneity of MM, we analysed the gene expression profiles of plasma cells isolated from seven MGUS, 39 MM and six PCL patients by means of DNA microarrays. MMs resulted highly heterogeneous at transcriptional level, whereas the differential expression of genes mainly involved in DNA metabolism and proliferation distinguished MGUS from PCLs and the majority of MM cases. The clustering of MM patients was mainly driven by the presence of the most recurrent translocations involving the immunoglobulin heavy-chain locus. Distinct gene expression patterns have been found to be associated with different lesions: the overexpression of CCND2 and genes involved in cell adhesion pathways was observed in cases with deregulated MAF and MAFB, whereas genes upregulated in cases with the t(4;14) showed apoptosis-related functions. The peculiar finding in patients with the t(11;14) was the downregulation of the alpha-subunit of the IL-6 receptor. In addition, we identified a set of cancer germline antigens specifically expressed in a subgroup of MM patients characterized by an aggressive clinical evolution, a finding that could have implications for patient classification and immunotherapy."}
{"STANDARD_NAME":"MATTIOLI_MULTIPLE_MYELOMA_WITH_14Q32_TRANSLOCATIONS","SYSTEMATIC_NAME":"M18467","ORGANISM":"Homo sapiens","PMID":"15735737","AUTHORS":"Mattioli M,Agnelli L,Fabris S,Baldini L,Morabito F,Bicciato S,Verdelli D,Intini D,Nobili L,Cro L,Pruneri G,Callea V,Stelitano C,Maiolo AT,Lombardi L,Neri A","GEOID":"GSE2113","EXACT_SOURCE":"Table 2S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes expressed in multiple myeloma (MM) patients carrying specific translocations involving the immunoglobulin heavy chain (IGH) locus at 14q32.","DESCRIPTION_FULL":"Multiple myeloma (MM) is the most common form of plasma cell dyscrasia, characterized by a marked heterogeneity of genetic lesions and clinical course. It may develop from a premalignant condition (monoclonal gammopathy of undetermined significance, MGUS) or progress from intramedullary to extramedullary forms (plasma cell leukemia, PCL). To provide insights into the molecular characterization of plasma cell dyscrasias and to investigate the contribution of specific genetic lesions to the biological and clinical heterogeneity of MM, we analysed the gene expression profiles of plasma cells isolated from seven MGUS, 39 MM and six PCL patients by means of DNA microarrays. MMs resulted highly heterogeneous at transcriptional level, whereas the differential expression of genes mainly involved in DNA metabolism and proliferation distinguished MGUS from PCLs and the majority of MM cases. The clustering of MM patients was mainly driven by the presence of the most recurrent translocations involving the immunoglobulin heavy-chain locus. Distinct gene expression patterns have been found to be associated with different lesions: the overexpression of CCND2 and genes involved in cell adhesion pathways was observed in cases with deregulated MAF and MAFB, whereas genes upregulated in cases with the t(4;14) showed apoptosis-related functions. The peculiar finding in patients with the t(11;14) was the downregulation of the alpha-subunit of the IL-6 receptor. In addition, we identified a set of cancer germline antigens specifically expressed in a subgroup of MM patients characterized by an aggressive clinical evolution, a finding that could have implications for patient classification and immunotherapy."}
{"STANDARD_NAME":"FARMER_BREAST_CANCER_CLUSTER_7","SYSTEMATIC_NAME":"M10394","ORGANISM":"Homo sapiens","PMID":"15897907","AUTHORS":"Farmer P,Bonnefoi H,Becette V,Tubiana-Hulin M,Fumoleau P,Larsimont D,Macgrogan G,Bergh J,Cameron D,Goldstein D,Duss S,Nicoulaz AL,Brisken C,Fiche M,Delorenzi M,Iggo R","GEOID":"GSE1561","EXACT_SOURCE":"Figure 5S: cluster 7","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster 7: selected apocrine and luminal genes clustered together across breast cancer samples.","DESCRIPTION_FULL":"Previous microarray studies on breast cancer identified multiple tumour classes, of which the most prominent, named luminal and basal, differ in expression of the oestrogen receptor alpha gene (ER). We report here the identification of a group of breast tumours with increased androgen signalling and a 'molecular apocrine' gene expression profile. Tumour samples from 49 patients with large operable or locally advanced breast cancers were tested on Affymetrix U133A gene expression microarrays. Principal components analysis and hierarchical clustering split the tumours into three groups: basal, luminal and a group we call molecular apocrine. All of the molecular apocrine tumours have strong apocrine features on histological examination (P=0.0002). The molecular apocrine group is androgen receptor (AR) positive and contains all of the ER-negative tumours outside the basal group. Kolmogorov-Smirnov testing indicates that oestrogen signalling is most active in the luminal group, and androgen signalling is most active in the molecular apocrine group. ERBB2 amplification is commoner in the molecular apocrine than the other groups. Genes that best split the three groups were identified by Wilcoxon test. Correlation of the average expression profile of these genes in our data with the expression profile of individual tumours in four published breast cancer studies suggest that molecular apocrine tumours represent 8-14% of tumours in these studies. Our data show that it is possible with microarray data to divide mammary tumour cells into three groups based on steroid receptor activity: luminal (ER+ AR+), basal (ER- AR-) and molecular apocrine (ER- AR+)."}
{"STANDARD_NAME":"JAERVINEN_AMPLIFIED_IN_LARYNGEAL_CANCER","SYSTEMATIC_NAME":"M4988","ORGANISM":"Homo sapiens","PMID":"16715129","AUTHORS":"Järvinen AK,Autio R,Haapa-Paananen S,Wolf M,Saarela M,Grénman R,Leivo I,Kallioniemi O,Mäkitie AA,Monni O","EXACT_SOURCE":"Table 2","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes whose expression was increased due to copy number gain in laryngeal cancer tumors (both in primary cultures and cell lines).","DESCRIPTION_FULL":"Molecular mechanisms contributing to initiation and progression of head and neck squamous cell carcinoma are still poorly known. Numerous genetic alterations have been described, but molecular consequences of such alterations in most cases remain unclear. Here, we performed an integrated high-resolution microarray analysis of gene copy number and expression in 20 laryngeal cancer cell lines and primary tumors. Our aim was to identify genetic alterations that play a key role in disease pathogenesis and pinpoint genes whose expression is directly impacted by these events. Integration of DNA level data from array-based comparative genomic hybridization with RNA level information from oligonucleotide microarrays was achieved with custom-developed bioinformatic methods. High-level amplifications had a clear impact on gene expression. Across the genome, overexpression of 739 genes could be attributed to gene amplification events in cell lines, with 325 genes showing the same phenomenon in primary tumors including FADD and PPFIA1 at 11q13. The analysis of gene ontology and pathway distributions further pinpointed genes that may identify potential targets of therapeutic intervention. Our data highlight genes that may be critically important to laryngeal cancer progression and offer potential therapeutic targets."}
{"STANDARD_NAME":"KOBAYASHI_RESPONSE_TO_ROMIDEPSIN","SYSTEMATIC_NAME":"M3021","ORGANISM":"Homo sapiens","PMID":"16186804","AUTHORS":"Kobayashi Y,Ohtsuki M,Murakami T,Kobayashi T,Sutheesophon K,Kitayama H,Kano Y,Kusano E,Nakagawa H,Furukawa Y","EXACT_SOURCE":"Table 1","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in MM-LH cells (malignant melanoma) after treatment with the HDAC inhibitor romidepsin (FK228) [PubChem=5352062].","DESCRIPTION_FULL":"Histone deacetylase (HDAC) inhibitors are expected to be effective for refractory cancer because their mechanism of action differs from that of conventional antineoplastic agents. In this study, we examined the effect of the HDAC inhibitor FK228 on malignant melanoma, as well as its molecular mechanisms. FK228 was highly effective against melanoma compared with other commonly used drugs. By comparing the gene expression profiles of melanoma cells and normal melanocytes, we defined a subset of genes specifically upregulated in melanoma cells by FK228, which included Rap1, a small GTP-binding protein of the Ras family. The expression of Rap1 mRNA and protein increased in FK228-treated melanoma cells in both a dose- and a time-dependent manner. A decrease in the phosphorylation of c-Raf, MEK1/2, and ERK1/2 was accompanied by an increase in Rap1 expression in both FK228-treated and Rap1-overexpressing cells. Inhibition of Rap1 upregulation by small interfering RNA (siRNA) abrogated the induction of apoptosis and suppression of ERK1/2 phosphorylation in FK228-treated melanoma cells. These results indicate that the cytotoxic effects of FK228 are mediated via the upregulation of Rap1. Furthermore, we found that Rap1 was overexpressed and formed a complex with B-Raf in melanoma cell lines with a V599E mutation of B-Raf. The siRNA-mediated abrogation of Rap1 overexpression increased the viability of these cells, suggesting that Rap1 is also an endogenous regulator of Ras-MAP kinase signaling in melanomas."}
{"STANDARD_NAME":"LA_MEN1_TARGETS","SYSTEMATIC_NAME":"M1182","ORGANISM":"Mus musculus","PMID":"16449969","AUTHORS":"La P,Desmond A,Hou Z,Silva AC,Schnepp RW,Hua X","EXACT_SOURCE":"Table 1","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in cells expressing MEN1 [GeneID=4221].","DESCRIPTION_FULL":"Menin is encoded by the tumor suppressor gene MEN1 that is mutated in patients with an inherited tumor syndrome, multiple endocrine neoplasia type 1 (MEN1). Although menin is a nuclear protein and directly binds to DNA through its nuclear localization signals (NLSs), the precise role for each of the NLSs in nuclear translocation and gene expression remains to be elucidated. Here, we show that point mutations in three individual NLSs, NLS1, NLS2, and a novel accessory NLS, NLSa, do not block nuclear translocation, but compromise the ability of menin to repress expression of the endogenous insulin-like growth factor binding protein-2 (IGFBP-2) gene. This repression is not released by an inhibitor of histone deacetylases. Although subtle mutations in menin NLSs do not affect menin association with chromatin, they abolish menin binding to the IGFBP-2 promoter in vivo. Furthermore, each of the NLSs is also crucial for menin-mediated induction of caspase 8 expression. Together, these results suggest that menin may act as a scaffold protein in coordinating activation and repression of gene transcription and that its NLSs play a more important role in controlling gene transcription than merely targeting menin into the nucleus."}
{"STANDARD_NAME":"LUND_SILENCED_BY_METHYLATION","SYSTEMATIC_NAME":"M12026","ORGANISM":"Rattus norvegicus","PMID":"16568090","AUTHORS":"Lund P,Weisshaupt K,Mikeska T,Jammas D,Chen X,Kuban RJ,Ungethüm U,Krapfenbauer U,Herzel HP,Schäfer R,Walter J,Sers C","GEOID":"GSE4427","EXACT_SOURCE":"Table 2","CHIP":"AFFY_RG_U34","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in FE-8 cells (fibroblasts) upon treatment with azacitidine [PubChem=9444].","DESCRIPTION_FULL":"Silencing of gene expression by methylation of CpG islands in regulatory elements is frequently observed in cancer. However, an influence of the most common oncogenic signalling pathways onto DNA methylation has not yet been investigated thoroughly. To address this issue, we identified genes suppressed in HRAS-transformed rat fibroblasts but upregulated after treatment with the demethylating agent 5-Aza-2-deoxycytidine and with the MEK1,2 inhibitor U0126. Analysis of gene expression by microarray and Northern blot analysis revealed the MEK/ERK target genes clusterin, matrix metalloproteinase 2 (Mmp2), peptidylpropyl isomerase C-associated protein, syndecan 4, Timp2 and Thbs1 to be repressed in the HRAS-transformed FE-8 cells in a MEK/ERK- and methylation-dependent manner. Hypermethylation of putative regulatory elements in HRAS-transformed cells as compared to immortalized fibroblasts was detected within a CpG island 14.5 kb upstream of clusterin, within the clusterin promoter and within a CpG island of the Mmp2 promoter by bisulphite sequencing. Furthermore, hypermethylation of the clusterin promoter was observed 10 days after induction of HRAS in immortalized rat fibroblasts and a clear correlation between reduced clusterin expression and hypermethlyation could also be observed in distinct rat tissues. These results suggest that silencing of individual genes by DNA methylation is controlled by oncogenic signalling pathways, yet the mechanisms responsible for initial target gene suppression are variable."}
{"STANDARD_NAME":"AIYAR_COBRA1_TARGETS_UP","SYSTEMATIC_NAME":"M17074","ORGANISM":"Homo sapiens","PMID":"17043641","AUTHORS":"Aiyar SE,Blair AL,Hopkinson DA,Bekiranov S,Li R","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in T47D cells (breast cancer) after COBRA1 [GeneID=25920] knockdown by RNAi.","DESCRIPTION_FULL":"Eucaryotic genes that are coordinately expressed tend to be clustered. Furthermore, gene clusters across chromosomal regions are often upregulated in various tumors. However, relatively little is known about how gene clusters are coordinately expressed in physiological or pathological conditions. Cofactor of BRCA1 (COBRA1), a subunit of the human negative elongation factor, has been shown to repress estrogen-stimulated transcription of trefoil factor 1 (TFF1 or pS2) by stalling RNA polymerase II. Here, we carried out a genome-wide study to identify additional physiological target genes of COBRA1 in breast cancer cells. The study identified a total of 134 genes that were either activated or repressed upon small hairpin RNA-mediated reduction of COBRA1. Interestingly, many COBRA1-regulated genes reside as clusters on the chromosomes and have been previously implicated in cancer development. Detailed examination of two such clusters on chromosome 21 (21q22) and chromosome X (Xp11) reveals that COBRA1 is physically associated with a subset of its regulated genes in each cluster. In addition, COBRA1 was shown to regulate both estrogen-dependent and -independent transcription of the gene cluster at 21q22, which encompasses the previously identified COBRA1-regulated TFF1 (pS2) locus. Thus, COBRA1 plays a critical role in the regulation of clustered gene expression at preferred chromosomal domains in breast cancer cells."}
{"STANDARD_NAME":"AIYAR_COBRA1_TARGETS_DN","SYSTEMATIC_NAME":"M13606","ORGANISM":"Homo sapiens","PMID":"17043641","AUTHORS":"Aiyar SE,Blair AL,Hopkinson DA,Bekiranov S,Li R","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in T47D cells (breast cancer) after COBRA1 [GeneID=25920] knockdown by RNAi.","DESCRIPTION_FULL":"Eucaryotic genes that are coordinately expressed tend to be clustered. Furthermore, gene clusters across chromosomal regions are often upregulated in various tumors. However, relatively little is known about how gene clusters are coordinately expressed in physiological or pathological conditions. Cofactor of BRCA1 (COBRA1), a subunit of the human negative elongation factor, has been shown to repress estrogen-stimulated transcription of trefoil factor 1 (TFF1 or pS2) by stalling RNA polymerase II. Here, we carried out a genome-wide study to identify additional physiological target genes of COBRA1 in breast cancer cells. The study identified a total of 134 genes that were either activated or repressed upon small hairpin RNA-mediated reduction of COBRA1. Interestingly, many COBRA1-regulated genes reside as clusters on the chromosomes and have been previously implicated in cancer development. Detailed examination of two such clusters on chromosome 21 (21q22) and chromosome X (Xp11) reveals that COBRA1 is physically associated with a subset of its regulated genes in each cluster. In addition, COBRA1 was shown to regulate both estrogen-dependent and -independent transcription of the gene cluster at 21q22, which encompasses the previously identified COBRA1-regulated TFF1 (pS2) locus. Thus, COBRA1 plays a critical role in the regulation of clustered gene expression at preferred chromosomal domains in breast cancer cells."}
{"STANDARD_NAME":"LI_CISPLATIN_RESISTANCE_DN","SYSTEMATIC_NAME":"M10150","ORGANISM":"Homo sapiens","PMID":"17072341","AUTHORS":"Li J,Wood WH 3rd,Becker KG,Weeraratna AT,Morin PJ","EXACT_SOURCE":"Table 2","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes consistently down-regulated in ACRP cells (ovarian cancer, resistant to cisplatin [PubChem=2767]) compared to the parental sensitive A2780 cells, regardless of cisplatin exposure.","DESCRIPTION_FULL":"The molecular pathways activated in response to acute cisplatin exposure, as well as the mechanisms involved in the long-term development of cisplatin-resistant cancer cells remain unclear. Using whole genome oligonucleotide microarrays, we have examined the kinetics of gene expression changes in a cisplatin-sensitive cell line, A2780, and its cisplatin-resistant derivative, ACRP. Both sensitive and resistant cell lines exhibited a very similar response of p53-inducible genes as early as 16 h after treatment. This p53 response was further increased at the 24-h time point. These experiments identify p53 as the main pathway producing a large-scale transcriptional response after cisplatin treatment in these cells containing wild-type p53. Consistent with a role for the p53 response in cisplatin sensitivity, knockdown of the p53 protein with small interfering RNA led to a twofold decrease in cell survival in the resistant cells. In addition, our analysis also allowed the identification of several genes that are differentially expressed between sensitive and resistant cells. These genes include GJA1 (encoding connexin 43 (Cx43)) and TWIST1, which are highly upregulated in cisplatin-resistant cells. The importance of Cx43 in drug resistance was demonstrated through functional analyses, although paradoxically, inhibition of Cx43 function in high expressing cells led to an increase in drug resistance. The pathways important in cisplatin response, as well as the genes found differentially expressed between cisplatin-resistant and -sensitive cells, may represent targets for therapy aimed at reversing drug resistance."}
{"STANDARD_NAME":"LI_CISPLATIN_RESISTANCE_UP","SYSTEMATIC_NAME":"M4717","ORGANISM":"Homo sapiens","PMID":"17072341","AUTHORS":"Li J,Wood WH 3rd,Becker KG,Weeraratna AT,Morin PJ","EXACT_SOURCE":"Table 1","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes consistently up-regulated in ACRP cells (ovarian cancer, resistant to cisplatin [PubChem=2767]) compared to the parental sensitive A2780 cells, regardless of cisplatin exposure.","DESCRIPTION_FULL":"The molecular pathways activated in response to acute cisplatin exposure, as well as the mechanisms involved in the long-term development of cisplatin-resistant cancer cells remain unclear. Using whole genome oligonucleotide microarrays, we have examined the kinetics of gene expression changes in a cisplatin-sensitive cell line, A2780, and its cisplatin-resistant derivative, ACRP. Both sensitive and resistant cell lines exhibited a very similar response of p53-inducible genes as early as 16 h after treatment. This p53 response was further increased at the 24-h time point. These experiments identify p53 as the main pathway producing a large-scale transcriptional response after cisplatin treatment in these cells containing wild-type p53. Consistent with a role for the p53 response in cisplatin sensitivity, knockdown of the p53 protein with small interfering RNA led to a twofold decrease in cell survival in the resistant cells. In addition, our analysis also allowed the identification of several genes that are differentially expressed between sensitive and resistant cells. These genes include GJA1 (encoding connexin 43 (Cx43)) and TWIST1, which are highly upregulated in cisplatin-resistant cells. The importance of Cx43 in drug resistance was demonstrated through functional analyses, although paradoxically, inhibition of Cx43 function in high expressing cells led to an increase in drug resistance. The pathways important in cisplatin response, as well as the genes found differentially expressed between cisplatin-resistant and -sensitive cells, may represent targets for therapy aimed at reversing drug resistance."}
{"STANDARD_NAME":"HERNANDEZ_ABERRANT_MITOSIS_BY_DOCETACEL_4NM_UP","SYSTEMATIC_NAME":"M1184","ORGANISM":"Homo sapiens","PMID":"17099726","AUTHORS":"Hernández-Vargas H,Palacios J,Moreno-Bueno G","GEOID":"GSE5149","EXACT_SOURCE":"Table 1S: Fold > 0","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in MCF7 cells (breast cancer, normal TP53 [GeneID=7157]) undergoing aberrant mitosis and necrosis after treatment wiht 4 nM docetaxel [PubChem=148124].","DESCRIPTION_FULL":"Among microtubule-targeting agents, docetaxel has received recent interest owing to its good therapeutic index. Clinical trials have underlined its potential for the treatment of advanced breast cancer, although little is known about its molecular mode of action in this context. We characterized the molecular changes induced by docetaxel in two well-known human breast carcinoma cell lines. Two mechanisms of action according to drug concentration were suggested by a biphasic sensitivity curve, and were further validated by cell morphology, cell cycle and cell death changes. Two to four nanomolar docetaxel induced aberrant mitosis followed by late necrosis, and 100 nM docetaxel induced mitotic arrest followed by apoptosis. Passing through mitosis phase was a requirement for hypodiploidy to occur, as shown by functional studies in synchronized cells and by combining docetaxel with the proteasome inhibitor MG132. Transcriptional profiling showed differences according to cell line and docetaxel concentration, with cell cycle, cell death and structural genes commonly regulated in both cell lines. Although p53 targets were mainly induced with low concentration of drug in MCF7 cells, its relevance in the dual mechanism of docetaxel cytotoxicity was ruled out by using an isogenic shp53 cell line. Many of the genes shown in this study may contribute to the dual mechanism by which docetaxel inhibits the growth of breast cancer cells at different concentrations. These findings provide a basis for rationally enhancing docetaxel therapy, considering lower concentrations, and better drug combinations."}
{"STANDARD_NAME":"HERNANDEZ_ABERRANT_MITOSIS_BY_DOCETACEL_4NM_DN","SYSTEMATIC_NAME":"M1185","ORGANISM":"Homo sapiens","PMID":"17099726","AUTHORS":"Hernández-Vargas H,Palacios J,Moreno-Bueno G","GEOID":"GSE5149","EXACT_SOURCE":"Table 1S: Fold < 0","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in MCF7 cells (breast cancer, normal TP53 [GeneID=7157]) undergoing aberrant mitosis and necrosis after treatment wiht 4 nM docetaxel [PubChem=148124].","DESCRIPTION_FULL":"Among microtubule-targeting agents, docetaxel has received recent interest owing to its good therapeutic index. Clinical trials have underlined its potential for the treatment of advanced breast cancer, although little is known about its molecular mode of action in this context. We characterized the molecular changes induced by docetaxel in two well-known human breast carcinoma cell lines. Two mechanisms of action according to drug concentration were suggested by a biphasic sensitivity curve, and were further validated by cell morphology, cell cycle and cell death changes. Two to four nanomolar docetaxel induced aberrant mitosis followed by late necrosis, and 100 nM docetaxel induced mitotic arrest followed by apoptosis. Passing through mitosis phase was a requirement for hypodiploidy to occur, as shown by functional studies in synchronized cells and by combining docetaxel with the proteasome inhibitor MG132. Transcriptional profiling showed differences according to cell line and docetaxel concentration, with cell cycle, cell death and structural genes commonly regulated in both cell lines. Although p53 targets were mainly induced with low concentration of drug in MCF7 cells, its relevance in the dual mechanism of docetaxel cytotoxicity was ruled out by using an isogenic shp53 cell line. Many of the genes shown in this study may contribute to the dual mechanism by which docetaxel inhibits the growth of breast cancer cells at different concentrations. These findings provide a basis for rationally enhancing docetaxel therapy, considering lower concentrations, and better drug combinations."}
{"STANDARD_NAME":"HERNANDEZ_MITOTIC_ARREST_BY_DOCETAXEL_1_UP","SYSTEMATIC_NAME":"M1186","ORGANISM":"Homo sapiens","PMID":"17099726","AUTHORS":"Hernández-Vargas H,Palacios J,Moreno-Bueno G","GEOID":"GSE5149","EXACT_SOURCE":"Table 2S: Fold > 0","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in MCF7 cells (breast cancer, normal TP53 [GeneID=7157]) undergoing mitotic arrest and apoptosis after treatment with 100 nM docetaxel [PubChem=148124].","DESCRIPTION_FULL":"Among microtubule-targeting agents, docetaxel has received recent interest owing to its good therapeutic index. Clinical trials have underlined its potential for the treatment of advanced breast cancer, although little is known about its molecular mode of action in this context. We characterized the molecular changes induced by docetaxel in two well-known human breast carcinoma cell lines. Two mechanisms of action according to drug concentration were suggested by a biphasic sensitivity curve, and were further validated by cell morphology, cell cycle and cell death changes. Two to four nanomolar docetaxel induced aberrant mitosis followed by late necrosis, and 100 nM docetaxel induced mitotic arrest followed by apoptosis. Passing through mitosis phase was a requirement for hypodiploidy to occur, as shown by functional studies in synchronized cells and by combining docetaxel with the proteasome inhibitor MG132. Transcriptional profiling showed differences according to cell line and docetaxel concentration, with cell cycle, cell death and structural genes commonly regulated in both cell lines. Although p53 targets were mainly induced with low concentration of drug in MCF7 cells, its relevance in the dual mechanism of docetaxel cytotoxicity was ruled out by using an isogenic shp53 cell line. Many of the genes shown in this study may contribute to the dual mechanism by which docetaxel inhibits the growth of breast cancer cells at different concentrations. These findings provide a basis for rationally enhancing docetaxel therapy, considering lower concentrations, and better drug combinations."}
{"STANDARD_NAME":"HERNANDEZ_ABERRANT_MITOSIS_BY_DOCETACEL_2NM_UP","SYSTEMATIC_NAME":"M1188","ORGANISM":"Homo sapiens","PMID":"17099726","AUTHORS":"Hernández-Vargas H,Palacios J,Moreno-Bueno G","GEOID":"GSE5149","EXACT_SOURCE":"Table 3S: Fold > 0","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in MDA-MB-231 cells (breast cancer, mutated TP53 [GeneID=7157]) undergoing aberrant mitosis and necrosis after treatment with 2 nM docetaxel [PubChem=148124].","DESCRIPTION_FULL":"Among microtubule-targeting agents, docetaxel has received recent interest owing to its good therapeutic index. Clinical trials have underlined its potential for the treatment of advanced breast cancer, although little is known about its molecular mode of action in this context. We characterized the molecular changes induced by docetaxel in two well-known human breast carcinoma cell lines. Two mechanisms of action according to drug concentration were suggested by a biphasic sensitivity curve, and were further validated by cell morphology, cell cycle and cell death changes. Two to four nanomolar docetaxel induced aberrant mitosis followed by late necrosis, and 100 nM docetaxel induced mitotic arrest followed by apoptosis. Passing through mitosis phase was a requirement for hypodiploidy to occur, as shown by functional studies in synchronized cells and by combining docetaxel with the proteasome inhibitor MG132. Transcriptional profiling showed differences according to cell line and docetaxel concentration, with cell cycle, cell death and structural genes commonly regulated in both cell lines. Although p53 targets were mainly induced with low concentration of drug in MCF7 cells, its relevance in the dual mechanism of docetaxel cytotoxicity was ruled out by using an isogenic shp53 cell line. Many of the genes shown in this study may contribute to the dual mechanism by which docetaxel inhibits the growth of breast cancer cells at different concentrations. These findings provide a basis for rationally enhancing docetaxel therapy, considering lower concentrations, and better drug combinations."}
{"STANDARD_NAME":"HERNANDEZ_ABERRANT_MITOSIS_BY_DOCETACEL_2NM_DN","SYSTEMATIC_NAME":"M1191","ORGANISM":"Homo sapiens","PMID":"17099726","AUTHORS":"Hernández-Vargas H,Palacios J,Moreno-Bueno G","GEOID":"GSE5149","EXACT_SOURCE":"Table 3S: Fold < 0","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in MDA-MB-231 cells (breast cancer, mutated TP53 [GeneID=7157]) undergoing aberrant mitosis and necrosis after treatment with 2 nM docetaxel [PubChem=148124].","DESCRIPTION_FULL":"Among microtubule-targeting agents, docetaxel has received recent interest owing to its good therapeutic index. Clinical trials have underlined its potential for the treatment of advanced breast cancer, although little is known about its molecular mode of action in this context. We characterized the molecular changes induced by docetaxel in two well-known human breast carcinoma cell lines. Two mechanisms of action according to drug concentration were suggested by a biphasic sensitivity curve, and were further validated by cell morphology, cell cycle and cell death changes. Two to four nanomolar docetaxel induced aberrant mitosis followed by late necrosis, and 100 nM docetaxel induced mitotic arrest followed by apoptosis. Passing through mitosis phase was a requirement for hypodiploidy to occur, as shown by functional studies in synchronized cells and by combining docetaxel with the proteasome inhibitor MG132. Transcriptional profiling showed differences according to cell line and docetaxel concentration, with cell cycle, cell death and structural genes commonly regulated in both cell lines. Although p53 targets were mainly induced with low concentration of drug in MCF7 cells, its relevance in the dual mechanism of docetaxel cytotoxicity was ruled out by using an isogenic shp53 cell line. Many of the genes shown in this study may contribute to the dual mechanism by which docetaxel inhibits the growth of breast cancer cells at different concentrations. These findings provide a basis for rationally enhancing docetaxel therapy, considering lower concentrations, and better drug combinations."}
{"STANDARD_NAME":"HERNANDEZ_MITOTIC_ARREST_BY_DOCETAXEL_2_UP","SYSTEMATIC_NAME":"M1192","ORGANISM":"Homo sapiens","PMID":"17099726","AUTHORS":"Hernández-Vargas H,Palacios J,Moreno-Bueno G","GEOID":"GSE5149","EXACT_SOURCE":"Table 4S: Fold > 0","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in MDA-MB-231 cells (breast cancer, mutated TP53 [GeneID=7157]) undergoing mitotic arrest and apoptosis after treatment with 100 nM docetaxel [PubChem=148124].","DESCRIPTION_FULL":"Among microtubule-targeting agents, docetaxel has received recent interest owing to its good therapeutic index. Clinical trials have underlined its potential for the treatment of advanced breast cancer, although little is known about its molecular mode of action in this context. We characterized the molecular changes induced by docetaxel in two well-known human breast carcinoma cell lines. Two mechanisms of action according to drug concentration were suggested by a biphasic sensitivity curve, and were further validated by cell morphology, cell cycle and cell death changes. Two to four nanomolar docetaxel induced aberrant mitosis followed by late necrosis, and 100 nM docetaxel induced mitotic arrest followed by apoptosis. Passing through mitosis phase was a requirement for hypodiploidy to occur, as shown by functional studies in synchronized cells and by combining docetaxel with the proteasome inhibitor MG132. Transcriptional profiling showed differences according to cell line and docetaxel concentration, with cell cycle, cell death and structural genes commonly regulated in both cell lines. Although p53 targets were mainly induced with low concentration of drug in MCF7 cells, its relevance in the dual mechanism of docetaxel cytotoxicity was ruled out by using an isogenic shp53 cell line. Many of the genes shown in this study may contribute to the dual mechanism by which docetaxel inhibits the growth of breast cancer cells at different concentrations. These findings provide a basis for rationally enhancing docetaxel therapy, considering lower concentrations, and better drug combinations."}
{"STANDARD_NAME":"HERNANDEZ_MITOTIC_ARREST_BY_DOCETAXEL_2_DN","SYSTEMATIC_NAME":"M1193","ORGANISM":"Homo sapiens","PMID":"17099726","AUTHORS":"Hernández-Vargas H,Palacios J,Moreno-Bueno G","GEOID":"GSE5149","EXACT_SOURCE":"Table 4S: Fold < 0","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in MDA-MB-231 cells (breast cancer, mutated TP53 [GeneID=7157]) undergoing mitotic arrest and apoptosis after treatment with 100 nM docetaxel [PubChem=148124].","DESCRIPTION_FULL":"Among microtubule-targeting agents, docetaxel has received recent interest owing to its good therapeutic index. Clinical trials have underlined its potential for the treatment of advanced breast cancer, although little is known about its molecular mode of action in this context. We characterized the molecular changes induced by docetaxel in two well-known human breast carcinoma cell lines. Two mechanisms of action according to drug concentration were suggested by a biphasic sensitivity curve, and were further validated by cell morphology, cell cycle and cell death changes. Two to four nanomolar docetaxel induced aberrant mitosis followed by late necrosis, and 100 nM docetaxel induced mitotic arrest followed by apoptosis. Passing through mitosis phase was a requirement for hypodiploidy to occur, as shown by functional studies in synchronized cells and by combining docetaxel with the proteasome inhibitor MG132. Transcriptional profiling showed differences according to cell line and docetaxel concentration, with cell cycle, cell death and structural genes commonly regulated in both cell lines. Although p53 targets were mainly induced with low concentration of drug in MCF7 cells, its relevance in the dual mechanism of docetaxel cytotoxicity was ruled out by using an isogenic shp53 cell line. Many of the genes shown in this study may contribute to the dual mechanism by which docetaxel inhibits the growth of breast cancer cells at different concentrations. These findings provide a basis for rationally enhancing docetaxel therapy, considering lower concentrations, and better drug combinations."}
{"STANDARD_NAME":"XU_HGF_SIGNALING_NOT_VIA_AKT1_6HR","SYSTEMATIC_NAME":"M6840","ORGANISM":"Homo sapiens","PMID":"17099727","AUTHORS":"Xu J,Gao M,Fan S,Meng Q,Goldberg ID,Abounader R,Ressom H,Laterra JJ,Rosen EM","EXACT_SOURCE":"Table 1S","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes changed similarly in DU-145 cells (prostate cancer) in the absence and presence of a dominant negative form of AKT1 [GeneID=207] upon exposure to HGF [GeneID=3082] for 6 h.","DESCRIPTION_FULL":"The cytokine scatter factor (SF) (hepatocyte growth factor) transduces various biologic actions, including cell motility, invasion, angiogenesis and apoptosis inhibition. The latter is relevant to understanding the role of SF in promoting tumor cell survival in different contexts, for example, detachment from basement membrane, growth in metastatic sites and responses to chemo- and radiotherapy. Previously, we showed that SF protects cells against apoptosis owing to DNA damage, by a mechanism involving phosphoinositol-3-kinase/c-Akt signaling. Here, we used DNA microarray assays to identify c-Akt-regulated genes that might contribute to cell protection. DU-145 human prostate cancer cells were transfected+/-a dominant-negative mutant Akt, treated+/-SF and analysed for gene expression using Affymetrix arrays. These studies identified SF-regulated genes for which induction was c-Akt-dependent vs -independent. Selected microarray findings were confirmed by semiquantitative and quantitative reverse transcription-polymerase chain reaction. We tested the contribution of four SF-inducible/c-Akt-dependent genes (AMPD3, EPHB2, MX1 and WNT4) to protection against adriamycin (a DNA topoisomerase IIalpha inhibitor) using RNA interference. Knockdown of each gene except EPHB2 caused a small but significant reduction in the SF cell protection. The lack of effect of EPHB2 knockdown may be due to the fact that DU-145 cells contain a single-mutant EPHB2 allele. A combination of three small interfering RNAs blocked most of the protection by SF in both DU-145 and T47D cells. These findings identify novel c-Akt-regulated genes, some of which contribute to SF-mediated cytoprotection."}
{"STANDARD_NAME":"XU_HGF_SIGNALING_NOT_VIA_AKT1_48HR_UP","SYSTEMATIC_NAME":"M11954","ORGANISM":"Homo sapiens","PMID":"17099727","AUTHORS":"Xu J,Gao M,Fan S,Meng Q,Goldberg ID,Abounader R,Ressom H,Laterra JJ,Rosen EM","EXACT_SOURCE":"Table 3S","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in DU-145 cells (prostate cancer) in the absence and presence of a dominant negative form of AKT1 [GeneID=207] upon exposure to HGF [GeneID=3082] for 48 h.","DESCRIPTION_FULL":"The cytokine scatter factor (SF) (hepatocyte growth factor) transduces various biologic actions, including cell motility, invasion, angiogenesis and apoptosis inhibition. The latter is relevant to understanding the role of SF in promoting tumor cell survival in different contexts, for example, detachment from basement membrane, growth in metastatic sites and responses to chemo- and radiotherapy. Previously, we showed that SF protects cells against apoptosis owing to DNA damage, by a mechanism involving phosphoinositol-3-kinase/c-Akt signaling. Here, we used DNA microarray assays to identify c-Akt-regulated genes that might contribute to cell protection. DU-145 human prostate cancer cells were transfected+/-a dominant-negative mutant Akt, treated+/-SF and analysed for gene expression using Affymetrix arrays. These studies identified SF-regulated genes for which induction was c-Akt-dependent vs -independent. Selected microarray findings were confirmed by semiquantitative and quantitative reverse transcription-polymerase chain reaction. We tested the contribution of four SF-inducible/c-Akt-dependent genes (AMPD3, EPHB2, MX1 and WNT4) to protection against adriamycin (a DNA topoisomerase IIalpha inhibitor) using RNA interference. Knockdown of each gene except EPHB2 caused a small but significant reduction in the SF cell protection. The lack of effect of EPHB2 knockdown may be due to the fact that DU-145 cells contain a single-mutant EPHB2 allele. A combination of three small interfering RNAs blocked most of the protection by SF in both DU-145 and T47D cells. These findings identify novel c-Akt-regulated genes, some of which contribute to SF-mediated cytoprotection."}
{"STANDARD_NAME":"XU_HGF_TARGETS_INDUCED_BY_AKT1_48HR_UP","SYSTEMATIC_NAME":"M17359","ORGANISM":"Homo sapiens","PMID":"17099727","AUTHORS":"Xu J,Gao M,Fan S,Meng Q,Goldberg ID,Abounader R,Ressom H,Laterra JJ,Rosen EM","EXACT_SOURCE":"Table 4S","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in DU-145 cells (prostate cancer) in the absence but not in the presence of a dominant negative form of AKT1 [GeneID=207] upon exposure to HGF [GeneID=3082] for 48 h.","DESCRIPTION_FULL":"The cytokine scatter factor (SF) (hepatocyte growth factor) transduces various biologic actions, including cell motility, invasion, angiogenesis and apoptosis inhibition. The latter is relevant to understanding the role of SF in promoting tumor cell survival in different contexts, for example, detachment from basement membrane, growth in metastatic sites and responses to chemo- and radiotherapy. Previously, we showed that SF protects cells against apoptosis owing to DNA damage, by a mechanism involving phosphoinositol-3-kinase/c-Akt signaling. Here, we used DNA microarray assays to identify c-Akt-regulated genes that might contribute to cell protection. DU-145 human prostate cancer cells were transfected+/-a dominant-negative mutant Akt, treated+/-SF and analysed for gene expression using Affymetrix arrays. These studies identified SF-regulated genes for which induction was c-Akt-dependent vs -independent. Selected microarray findings were confirmed by semiquantitative and quantitative reverse transcription-polymerase chain reaction. We tested the contribution of four SF-inducible/c-Akt-dependent genes (AMPD3, EPHB2, MX1 and WNT4) to protection against adriamycin (a DNA topoisomerase IIalpha inhibitor) using RNA interference. Knockdown of each gene except EPHB2 caused a small but significant reduction in the SF cell protection. The lack of effect of EPHB2 knockdown may be due to the fact that DU-145 cells contain a single-mutant EPHB2 allele. A combination of three small interfering RNAs blocked most of the protection by SF in both DU-145 and T47D cells. These findings identify novel c-Akt-regulated genes, some of which contribute to SF-mediated cytoprotection."}
{"STANDARD_NAME":"XU_HGF_TARGETS_REPRESSED_BY_AKT1_UP","SYSTEMATIC_NAME":"M10500","ORGANISM":"Homo sapiens","PMID":"17099727","AUTHORS":"Xu J,Gao M,Fan S,Meng Q,Goldberg ID,Abounader R,Ressom H,Laterra JJ,Rosen EM","EXACT_SOURCE":"Table 5S","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in DU-145 cells (prostate cancer) in the presence but not in the absence of a dominant negative form of AKT1 [GeneID=207] upon exposure to HGF [GeneID=3082] for 48 h.","DESCRIPTION_FULL":"The cytokine scatter factor (SF) (hepatocyte growth factor) transduces various biologic actions, including cell motility, invasion, angiogenesis and apoptosis inhibition. The latter is relevant to understanding the role of SF in promoting tumor cell survival in different contexts, for example, detachment from basement membrane, growth in metastatic sites and responses to chemo- and radiotherapy. Previously, we showed that SF protects cells against apoptosis owing to DNA damage, by a mechanism involving phosphoinositol-3-kinase/c-Akt signaling. Here, we used DNA microarray assays to identify c-Akt-regulated genes that might contribute to cell protection. DU-145 human prostate cancer cells were transfected+/-a dominant-negative mutant Akt, treated+/-SF and analysed for gene expression using Affymetrix arrays. These studies identified SF-regulated genes for which induction was c-Akt-dependent vs -independent. Selected microarray findings were confirmed by semiquantitative and quantitative reverse transcription-polymerase chain reaction. We tested the contribution of four SF-inducible/c-Akt-dependent genes (AMPD3, EPHB2, MX1 and WNT4) to protection against adriamycin (a DNA topoisomerase IIalpha inhibitor) using RNA interference. Knockdown of each gene except EPHB2 caused a small but significant reduction in the SF cell protection. The lack of effect of EPHB2 knockdown may be due to the fact that DU-145 cells contain a single-mutant EPHB2 allele. A combination of three small interfering RNAs blocked most of the protection by SF in both DU-145 and T47D cells. These findings identify novel c-Akt-regulated genes, some of which contribute to SF-mediated cytoprotection."}
{"STANDARD_NAME":"XU_HGF_TARGETS_REPRESSED_BY_AKT1_DN","SYSTEMATIC_NAME":"M10855","ORGANISM":"Homo sapiens","PMID":"17099727","AUTHORS":"Xu J,Gao M,Fan S,Meng Q,Goldberg ID,Abounader R,Ressom H,Laterra JJ,Rosen EM","EXACT_SOURCE":"Table 5S","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in DU-145 cells (prostate cancer) in the presence but not in the absence of a dominant negative form of AKT1 [GeneID=207] upon exposure to HGF [GeneID=3082] for 48 h.","DESCRIPTION_FULL":"The cytokine scatter factor (SF) (hepatocyte growth factor) transduces various biologic actions, including cell motility, invasion, angiogenesis and apoptosis inhibition. The latter is relevant to understanding the role of SF in promoting tumor cell survival in different contexts, for example, detachment from basement membrane, growth in metastatic sites and responses to chemo- and radiotherapy. Previously, we showed that SF protects cells against apoptosis owing to DNA damage, by a mechanism involving phosphoinositol-3-kinase/c-Akt signaling. Here, we used DNA microarray assays to identify c-Akt-regulated genes that might contribute to cell protection. DU-145 human prostate cancer cells were transfected+/-a dominant-negative mutant Akt, treated+/-SF and analysed for gene expression using Affymetrix arrays. These studies identified SF-regulated genes for which induction was c-Akt-dependent vs -independent. Selected microarray findings were confirmed by semiquantitative and quantitative reverse transcription-polymerase chain reaction. We tested the contribution of four SF-inducible/c-Akt-dependent genes (AMPD3, EPHB2, MX1 and WNT4) to protection against adriamycin (a DNA topoisomerase IIalpha inhibitor) using RNA interference. Knockdown of each gene except EPHB2 caused a small but significant reduction in the SF cell protection. The lack of effect of EPHB2 knockdown may be due to the fact that DU-145 cells contain a single-mutant EPHB2 allele. A combination of three small interfering RNAs blocked most of the protection by SF in both DU-145 and T47D cells. These findings identify novel c-Akt-regulated genes, some of which contribute to SF-mediated cytoprotection."}
{"STANDARD_NAME":"XU_AKT1_TARGETS_48HR","SYSTEMATIC_NAME":"M18117","ORGANISM":"Homo sapiens","PMID":"17099727","AUTHORS":"Xu J,Gao M,Fan S,Meng Q,Goldberg ID,Abounader R,Ressom H,Laterra JJ,Rosen EM","EXACT_SOURCE":"Table 7S","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in DU-145 cells (prostate cancer) expressing a dominant negative form of AKT1 [GeneID=207] upon sham-treatment for 48 h (as a control for the HGF [GeneID=3082] experiments).","DESCRIPTION_FULL":"The cytokine scatter factor (SF) (hepatocyte growth factor) transduces various biologic actions, including cell motility, invasion, angiogenesis and apoptosis inhibition. The latter is relevant to understanding the role of SF in promoting tumor cell survival in different contexts, for example, detachment from basement membrane, growth in metastatic sites and responses to chemo- and radiotherapy. Previously, we showed that SF protects cells against apoptosis owing to DNA damage, by a mechanism involving phosphoinositol-3-kinase/c-Akt signaling. Here, we used DNA microarray assays to identify c-Akt-regulated genes that might contribute to cell protection. DU-145 human prostate cancer cells were transfected+/-a dominant-negative mutant Akt, treated+/-SF and analysed for gene expression using Affymetrix arrays. These studies identified SF-regulated genes for which induction was c-Akt-dependent vs -independent. Selected microarray findings were confirmed by semiquantitative and quantitative reverse transcription-polymerase chain reaction. We tested the contribution of four SF-inducible/c-Akt-dependent genes (AMPD3, EPHB2, MX1 and WNT4) to protection against adriamycin (a DNA topoisomerase IIalpha inhibitor) using RNA interference. Knockdown of each gene except EPHB2 caused a small but significant reduction in the SF cell protection. The lack of effect of EPHB2 knockdown may be due to the fact that DU-145 cells contain a single-mutant EPHB2 allele. A combination of three small interfering RNAs blocked most of the protection by SF in both DU-145 and T47D cells. These findings identify novel c-Akt-regulated genes, some of which contribute to SF-mediated cytoprotection."}
{"STANDARD_NAME":"SHI_SPARC_TARGETS_UP","SYSTEMATIC_NAME":"M4095","ORGANISM":"Homo sapiens","PMID":"17213807","AUTHORS":"Shi Q,Bao S,Song L,Wu Q,Bigner DD,Hjelmeland AB,Rich JN","EXACT_SOURCE":"Table 1: Increased","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in glioma cell lines after knockdown of SPARC [GeneID=6678] by RNAi.","DESCRIPTION_FULL":"Secreted protein acidic and rich in cysteine (SPARC) is an extracellular glycoprotein expressed in several solid cancers, including malignant gliomas, upon adoption of metastatic or invasive behaviors. SPARC expression in glioma cells promotes invasion and survival under stress, the latter process dependent on SPARC activation of AKT. Here we demonstrate that downregulation of SPARC expression with short interfering RNA (siRNA) in glioma cells decreased tumor cell survival and invasion. SPARC siRNA reduced the activating phosphorylation of AKT and two cytoplasmic kinases, focal adhesion kinase (FAK) and integrin-linked kinase (ILK). We determined the contributions of FAK and ILK to SPARC effects using SPARC protein and cell lines engineered to overexpress SPARC. SPARC activated FAK and ILK in glioma cells previously characterized as responsive to SPARC. Downregulation of either FAK or ILK expression inhibited SPARC-mediated AKT phosphorylation, and targeting both FAK and ILK attenuated AKT activation more potently than targeting either FAK or ILK alone. Decreased SPARC-mediated AKT activation correlated with a reduction in SPARC-dependent invasion and survival upon the downregulation of FAK and/or ILK expression. These data further demonstrate the role of SPARC in glioma tumor progression through the activation of intracellular kinases that may provide novel therapeutic targets for advanced cancers."}
{"STANDARD_NAME":"SHI_SPARC_TARGETS_DN","SYSTEMATIC_NAME":"M6946","ORGANISM":"Homo sapiens","PMID":"17213807","AUTHORS":"Shi Q,Bao S,Song L,Wu Q,Bigner DD,Hjelmeland AB,Rich JN","EXACT_SOURCE":"Table 1: Decreased","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in glioma cell lines after knockdown of SPARC [GeneID=6678] by RNAi.","DESCRIPTION_FULL":"Secreted protein acidic and rich in cysteine (SPARC) is an extracellular glycoprotein expressed in several solid cancers, including malignant gliomas, upon adoption of metastatic or invasive behaviors. SPARC expression in glioma cells promotes invasion and survival under stress, the latter process dependent on SPARC activation of AKT. Here we demonstrate that downregulation of SPARC expression with short interfering RNA (siRNA) in glioma cells decreased tumor cell survival and invasion. SPARC siRNA reduced the activating phosphorylation of AKT and two cytoplasmic kinases, focal adhesion kinase (FAK) and integrin-linked kinase (ILK). We determined the contributions of FAK and ILK to SPARC effects using SPARC protein and cell lines engineered to overexpress SPARC. SPARC activated FAK and ILK in glioma cells previously characterized as responsive to SPARC. Downregulation of either FAK or ILK expression inhibited SPARC-mediated AKT phosphorylation, and targeting both FAK and ILK attenuated AKT activation more potently than targeting either FAK or ILK alone. Decreased SPARC-mediated AKT activation correlated with a reduction in SPARC-dependent invasion and survival upon the downregulation of FAK and/or ILK expression. These data further demonstrate the role of SPARC in glioma tumor progression through the activation of intracellular kinases that may provide novel therapeutic targets for advanced cancers."}
{"STANDARD_NAME":"AGARWAL_AKT_PATHWAY_TARGETS","SYSTEMATIC_NAME":"M3495","ORGANISM":"Homo sapiens","PMID":"15592509","AUTHORS":"Agarwal A,Das K,Lerner N,Sathe S,Cicek M,Casey G,Sizemore N","EXACT_SOURCE":"Table 1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Angiogenic and metastatic genes changed in RKO cells (colorectal cancer) upon perturbation of key components of AKT pathway.","DESCRIPTION_FULL":"Our laboratory has delineated that the phosphatidylinositol 3' kinase (PI3K)/AKT/I kappa B kinase (IKK) pathway positively regulates NF kappa B and beta-catenin, both important transcriptional regulators in colorectal cancer (CRC). Therefore, we investigated the effect of inhibiting the PI3K/AKT/IKK alpha pathway in regulating the inappropriate constitutive activation of NF kappa B and beta-catenin in CRC cell lines. SW480 and RKO CRC cell lines demonstrate constitutive activation of AKT as well as both NF kappa B- and beta-catenin-dependent transcription. The constitutive activation of NF kappa B- and beta-catenin-dependent transcription is inhibited by transiently transfecting either kinase dead (KD) IKK alpha, which blocks IKK alpha kinase activity, KD AKT, which blocks AKT activity, or wildtype (WT) PTEN, which inhibits PI3K and AKT activity. The ability of KD IKK alpha, KD AKT or WT PTEN to decrease beta-catenin-dependent transcription is independent of their effects on NF kappa B. Inducible expression of either KD IKK alpha or WT PTEN strongly inhibits both the constitutive NF kappa B- and beta-catenin-dependent promoter and endogenous gene activation. Targeted array-based gene expression analysis of this inducible system reveals that many of the genes downregulated upon inhibition of this pathway are involved in tumor angiogenesis and metastasis. The activation of this pathway and the expression of the three most repressed genes was further analysed in samples of CRC. These results indicate a role of this pathway in controlling gene expression important in tumor progression and metastasis."}
{"STANDARD_NAME":"NEBEN_AML_WITH_FLT3_OR_NRAS_UP","SYSTEMATIC_NAME":"M16304","ORGANISM":"Homo sapiens","PMID":"15674343","AUTHORS":"Neben K,Schnittger S,Brors B,Tews B,Kokocinski F,Haferlach T,Müller J,Hahn M,Hiddemann W,Eils R,Lichter P,Schoch C","EXACT_SOURCE":"Table 2: fold change > 2","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in acute myeloid leukemia (AML) samples with constitutively activated FLT3 [GeneID=2322] or with activating point mutations within NRAS [GeneID=4893].","DESCRIPTION_FULL":"In acute myeloid leukemia (AML), constitutive activation of the FLT3 receptor tyrosine kinase, either by internal tandem duplications (FLT3-ITD) of the juxtamembrane region or by point mutations in the second tyrosine kinase domain (FLT3-TKD), as well as point mutations of the NRAS gene (NRAS-PM) are among the most frequent somatic gene mutations. To elucidate whether these mutations cause aberrant signal transduction in AML, we used gene expression profiling in a series of 110 newly diagnosed AML patients with normal karyotype. The different algorithms used for data analysis revealed highly concordant sets of genes, indicating that the identified gene signatures are specific for each analysed subgroup. Whereas samples with FLT3-ITD and FLT3-TKD could be separated with up to 100% accuracy, this did not apply for NRAS-PM and wild-type samples, suggesting that only FLT3-ITD and FLT3-TKD are associated with an apparent signature in AML. The set of discriminating genes included several known genes, which are involved in cell cycle control (CDC14A, WEE1), gene transcription (HOXB5, FOXA1), and signal transduction (SMG1). In conclusion, we showed that unique gene expression patterns can be correlated with FLT3-ITD and FLT3-TKD. This might lead to the identification of further pathogenetic relevant candidate genes particularly in AML with normal karyotype."}
{"STANDARD_NAME":"NEBEN_AML_WITH_FLT3_OR_NRAS_DN","SYSTEMATIC_NAME":"M12530","ORGANISM":"Homo sapiens","PMID":"15674343","AUTHORS":"Neben K,Schnittger S,Brors B,Tews B,Kokocinski F,Haferlach T,Müller J,Hahn M,Hiddemann W,Eils R,Lichter P,Schoch C","EXACT_SOURCE":"Table 2: Fold change < -2","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in acute myeloid leukemia (AML) samples with constitutively activated FLT3 [GeneID=2322] or with activating point mutations within NRAS [GeneID=4893].","DESCRIPTION_FULL":"In acute myeloid leukemia (AML), constitutive activation of the FLT3 receptor tyrosine kinase, either by internal tandem duplications (FLT3-ITD) of the juxtamembrane region or by point mutations in the second tyrosine kinase domain (FLT3-TKD), as well as point mutations of the NRAS gene (NRAS-PM) are among the most frequent somatic gene mutations. To elucidate whether these mutations cause aberrant signal transduction in AML, we used gene expression profiling in a series of 110 newly diagnosed AML patients with normal karyotype. The different algorithms used for data analysis revealed highly concordant sets of genes, indicating that the identified gene signatures are specific for each analysed subgroup. Whereas samples with FLT3-ITD and FLT3-TKD could be separated with up to 100% accuracy, this did not apply for NRAS-PM and wild-type samples, suggesting that only FLT3-ITD and FLT3-TKD are associated with an apparent signature in AML. The set of discriminating genes included several known genes, which are involved in cell cycle control (CDC14A, WEE1), gene transcription (HOXB5, FOXA1), and signal transduction (SMG1). In conclusion, we showed that unique gene expression patterns can be correlated with FLT3-ITD and FLT3-TKD. This might lead to the identification of further pathogenetic relevant candidate genes particularly in AML with normal karyotype."}
{"STANDARD_NAME":"SNIJDERS_AMPLIFIED_IN_HEAD_AND_NECK_TUMORS","SYSTEMATIC_NAME":"M12802","ORGANISM":"Homo sapiens","PMID":"15824737","AUTHORS":"Snijders AM,Schmidt BL,Fridlyand J,Dekker N,Pinkel D,Jordan RC,Albertson DG","EXACT_SOURCE":"Table 2","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes from the recurrent amplicons in 89 samples of oral squamous cell carcinoma (SCC).","DESCRIPTION_FULL":"Genomes of solid tumors are characterized by gains and losses of regions, which may contribute to tumorigenesis by altering gene expression. Often the aberrations are extensive, encompassing whole chromosome arms, which makes identification of candidate genes in these regions difficult. Here, we focused on narrow regions of gene amplification to facilitate identification of genetic pathways important in oral squamous cell carcinoma (SCC) development. We used array comparative genomic hybridization (array CGH) to define minimum common amplified regions and then used expression analysis to identify candidate driver genes in amplicons that spanned <3 Mb. We found genes involved in integrin signaling (TLN1), survival (YAP1, BIRC2), and adhesion and migration (TLN1, LAMA3, MMP7), as well as members of the hedgehog (GLI2) and notch (JAG1, RBPSUH, FJX1) pathways to be amplified and overexpressed. Deregulation of these and other members of the hedgehog and notch pathways (HHIP, SMO, DLL1, NOTCH4) implicates deregulation of developmental and differentiation pathways, cell fate misspecification, in oral SCC development."}
{"STANDARD_NAME":"NAISHIRO_CTNNB1_TARGETS_WITH_LEF1_MOTIF","SYSTEMATIC_NAME":"M1194","ORGANISM":"Homo sapiens","PMID":"15735679","AUTHORS":"Naishiro Y,Yamada T,Idogawa M,Honda K,Takada M,Kondo T,Imai K,Hirohashi S","EXACT_SOURCE":"Table 1S","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes regulated by CTNNB1 [GeneID=1499] and whose promoters contain binding sites for LEF1 [GeneID=51176].","DESCRIPTION_FULL":"Aberrant transactivation of a certain set of target genes by the beta-catenin and T-cell factor/lymphoid enhancer factor (TCF/LEF) transcription factor complexes has been implicated in the process of intestinal epithelial cells entering early colorectal carcinogenesis. A rat intestinal epithelial cell line IEC6 became elongated, extended protrusions at cell periphery, and increased stress fibers and focal contacts upon the induction of beta-catenin protein stabilized by deletion of the N-terminal glycogen synthase kinase-3beta (GSKbeta) phosphorylation sites (beta-catenin DeltaN89). We used the GeneChiptrade mark oligonucleotide microarray system to examine approximately 24 000 genes and identified 13 genes whose expression was altered during the course of this morphological transformation. Those genes included known negative regulators of the Wnt signaling pathway, Sfrp4 and Axin2; extracellular matrix and related molecule, Hxb and Crtl1; cell adhesion and cytoskeletal proteins, Podxl, Igaf4, and Itab6; and molecules involved in the insulin and insulin-like growth factor (IGF) signaling pathways, Enpp1, Igfbp2, and Sgk. We report the finding that insulin-like growth factor-binding protein-2 (IGFBP2) is a direct target gene of the beta-catenin and TCF/LEF complexes. The IGFBP2 protein interacts with integrins. Disruption of the multigene network system regulating cell adhesion and cytoskeleton may be crucial in the initiation of colorectal carcinogenesis."}
{"STANDARD_NAME":"WHITE_NEUROBLASTOMA_WITH_1P36.3_DELETION","SYSTEMATIC_NAME":"M11268","ORGANISM":"Homo sapiens","PMID":"15829979","AUTHORS":"White PS,Thompson PM,Gotoh T,Okawa ER,Igarashi J,Kok M,Winter C,Gregory SG,Hogarty MD,Maris JM,Brodeur GM","EXACT_SOURCE":"Table 2","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes within the smallest region of consistend deletion (SRD) within 1p36.3 area across a large collection of neuroblastoma cell lines and biopsy samples.","DESCRIPTION_FULL":"Substantial genomic and functional evidence from primary tumors and cell lines indicates that a consistent region of distal chromosome 1p is deleted in a sizable proportion of human neuroblastomas, suggesting that this region contains one or more tumor suppressor genes. To determine systematically and precisely the location and extent of 1p deletion in neuroblastomas, we performed allelic loss studies of 737 primary neuroblastomas and genotype analysis of 46 neuroblastoma cell lines. Together, the results defined a single region within 1p36.3 that was consistently deleted in 25% of tumors and 87% of cell lines. Two neuroblastoma patients had constitutional deletions of distal 1p36 that overlapped the tumor-defined region. The tumor- and constitutionally-derived deletions together defined a smallest region of consistent deletion (SRD) between D1S2795 and D1S253. The 1p36.3 SRD was deleted in all but one of the 184 tumors with 1p deletion. Physical mapping and DNA sequencing determined that the SRD minimally spans an estimated 729 kb. Genomic content and sequence analysis of the SRD identified 15 characterized, nine uncharacterized, and six predicted genes in the region. The RNA expression profiles of 21 of the genes were investigated in a variety of normal tissues. The SHREW1 and KCNAB2 genes both had tissue-restricted expression patterns, including expression in the nervous system. In addition, a novel gene (CHD5) with strong homology to proteins involved in chromatin remodeling was expressed mainly in neural tissues. Together, these results suggest that one or more genes involved in neuroblastoma tumorigenesis or tumor progression are likely contained within this region."}
{"STANDARD_NAME":"BEGUM_TARGETS_OF_PAX3_FOXO1_FUSION_AND_PAX3","SYSTEMATIC_NAME":"M18597","ORGANISM":"Homo sapiens","PMID":"15688035","AUTHORS":"Begum S,Emami N,Cheung A,Wilkins O,Der S,Hamel PA","EXACT_SOURCE":"Table 3S","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in SaOS-2 cells (osteosarcoma) upon expression of PAX3-FOXO1 [GeneID=5077;2308] but down-regulated by PAX3 expression off adenoviral vectors.","DESCRIPTION_FULL":"The oncogenic fusion protein, Pax3/FKHR, is a more potent transcription factor relative to its normal counterpart, Pax3. Since Pax3 induced a mesenchymal to epithelial transition (MET) in human SaOS-2 osteosarcomas, we hypothesized that Pax3/FKHR would also induce a morphological change in SaOS-2 cells. We demonstrate here that Pax3/FKHR more potently induces a MET in SaOS-2 cells than Pax3. This greater potency was further evident where Pax3/FKHR, but not Pax3, induced a morphological alteration in U2-OS osteosarcoma cells. By microarray analysis, we determined that Pax3/FKHR altered the expression of gene targets in a manner quantitatively and qualitatively distinct from Pax3. Three classes of genes were identified: (i) genes induced or repressed by Pax3 and Pax3/FKHR, (ii) genes induced or repressed by Pax3/FKHR but not Pax3 and (iii) genes induced by Pax3/FKHR but repressed by Pax3. Chromatin immunoprecipitations confirmed the direct binding of Pax3/FKHR to the promoter region of several factors including cannabinoid receptor-1, EPHA2 and EPHA4. Verification of the microarray data also revealed coordinate alteration in the expression of factors involved in BMP4 signalling. Regulation of gene expression by Pax3 and Pax3/FKHR is, however, cell-type specific. BMP4 expression, for example, was repressed by both Pax3 and Pax3/FKHR in SaOS-2 cells, while in the rhabdomyosarcoma, RD, Pax3/FKHR, but not Pax3, induced BMP4 expression. Thus, our data reveal that Pax3/FKHR regulates a distinct but overlapping set of genes relative to Pax3 and that the global set of Pax3 and Pax3/FKHR gene targets is cell-type specific."}
{"STANDARD_NAME":"SILIGAN_BOUND_BY_EWS_FLT1_FUSION","SYSTEMATIC_NAME":"M5218","ORGANISM":"Homo sapiens","PMID":"15735734","AUTHORS":"Siligan C,Ban J,Bachmaier R,Spahn L,Kreppel M,Schaefer KL,Poremba C,Aryee DN,Kovar H","EXACT_SOURCE":"Table 1C","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes bound by EWSR1-FLT1 [GeneID=2130;2321] fusion but whose expression did not change in STA-ET-7.2 cells (Ewing's sarcoma) after knockdown of EWSR1-FLT1 by RNAi.","DESCRIPTION_FULL":"In all, 85% of Ewing's sarcoma family tumors (ESFT), a neoplasm of unknown histogenesis, express EWS-FLI1 transcription factor gene fusions. To characterize direct target genes avoiding artificial model systems, we cloned genomic DNA from ESFT chromatin precipitating with EWS-FLI1. We now present a comprehensive list of 99 putative transcription factor targets identified, for the first time, by a hypothesis-free approach based on physical interaction. Gene-derived chromatin fragments co-precipitating with EWS-FLI1 were nonrandomly distributed over the human genome and localized predominantly to the upstream region and the first two introns of the genes. At least 20% of putative direct EWS-FLI1 targets were neural genes. One-third of genes recovered showed a significant ESFT-specific expression pattern and were found to be altered upon RNAi-mediated knockdown of EWS-FLI1. Among them, MK-STYX, encoding a MAP kinase phosphatase-like protein, was consistently expressed in ESFT. EWS-FLI1 was found to drive MK-STYX expression by binding to a single ETS binding motif within the first gene intron. MK-STYX serves as precedence for successful recovery of direct EWS-FLI1 targets from the authentic ESFT cellular context, the most relevant system to study oncogenic mechanisms for the discovery of new therapeutic targets in this disease."}
{"STANDARD_NAME":"KORKOLA_EMBRYONAL_CARCINOMA","SYSTEMATIC_NAME":"M18941","ORGANISM":"Homo sapiens","PMID":"15870693","AUTHORS":"Korkola JE,Houldsworth J,Dobrzynski D,Olshen AB,Reuter VE,Bosl GJ,Chaganti RS","EXACT_SOURCE":"Table 1S: EC not equal 0","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicting the embryonic carcinoma (EC) subtype of nonseminomatous male germ cell tumors (NSGCT).","DESCRIPTION_FULL":"Male adult germ cell tumors (GCTs) comprise two major histologic groups: seminomas and nonseminomas. Nonseminomatous GCTs (NSGCTs) can be further divided into embryonal carcinoma (EC), teratoma (T), yolk sac tumor (YS), and choriocarcinoma (CC) on the basis of the lineage differentiation that they exhibit. NSGCTs frequently present as mixed tumors consisting of two or more histological subtypes, often limiting correlative studies of clinical and molecular features to histology. We sought to develop a molecular classifier that could predict the predominant histologic subtype within mixed NSGCT tumor samples. The expression profiles of 84 NSGCTs (42 pure and 42 mixed) and normal age-matched testes were obtained using Affymetrix microarrays. Using prediction analysis for microarrays, we identified 146 transcripts that classified the histology of pure NSGCTs samples with 93% accuracy. When applied to mixed NSGCTs, the classifier predicted a histology that was consistent with one of the reported components in 93% of cases. Among the predictive transcripts were CGB (high in CC), LCN2 (high in T), BMP2 (high in YS), and POU5F1 (high in EC). Thus, the expression-based classifier accurately assigned a single predominant histology to mixed NSGCTs, and identified transcripts differentially expressed between histologic components with relevance to NSGCT differentiation."}
{"STANDARD_NAME":"KORKOLA_YOLK_SAC_TUMOR","SYSTEMATIC_NAME":"M6250","ORGANISM":"Homo sapiens","PMID":"15870693","AUTHORS":"Korkola JE,Houldsworth J,Dobrzynski D,Olshen AB,Reuter VE,Bosl GJ,Chaganti RS","EXACT_SOURCE":"Table 1S: YS not equal 0","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicting the yolk sac tumor (YS) subtype of nonseminomatous male germ cell tumors (NSGCT).","DESCRIPTION_FULL":"Male adult germ cell tumors (GCTs) comprise two major histologic groups: seminomas and nonseminomas. Nonseminomatous GCTs (NSGCTs) can be further divided into embryonal carcinoma (EC), teratoma (T), yolk sac tumor (YS), and choriocarcinoma (CC) on the basis of the lineage differentiation that they exhibit. NSGCTs frequently present as mixed tumors consisting of two or more histological subtypes, often limiting correlative studies of clinical and molecular features to histology. We sought to develop a molecular classifier that could predict the predominant histologic subtype within mixed NSGCT tumor samples. The expression profiles of 84 NSGCTs (42 pure and 42 mixed) and normal age-matched testes were obtained using Affymetrix microarrays. Using prediction analysis for microarrays, we identified 146 transcripts that classified the histology of pure NSGCTs samples with 93% accuracy. When applied to mixed NSGCTs, the classifier predicted a histology that was consistent with one of the reported components in 93% of cases. Among the predictive transcripts were CGB (high in CC), LCN2 (high in T), BMP2 (high in YS), and POU5F1 (high in EC). Thus, the expression-based classifier accurately assigned a single predominant histology to mixed NSGCTs, and identified transcripts differentially expressed between histologic components with relevance to NSGCT differentiation."}
{"STANDARD_NAME":"KORKOLA_CHORIOCARCINOMA","SYSTEMATIC_NAME":"M11690","ORGANISM":"Homo sapiens","PMID":"15870693","AUTHORS":"Korkola JE,Houldsworth J,Dobrzynski D,Olshen AB,Reuter VE,Bosl GJ,Chaganti RS","EXACT_SOURCE":"Table 1S: CC not equal 0","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicting the choriocarcinoma (CC) of nonseminomatous male germ cell tumors (NSGCT).","DESCRIPTION_FULL":"Male adult germ cell tumors (GCTs) comprise two major histologic groups: seminomas and nonseminomas. Nonseminomatous GCTs (NSGCTs) can be further divided into embryonal carcinoma (EC), teratoma (T), yolk sac tumor (YS), and choriocarcinoma (CC) on the basis of the lineage differentiation that they exhibit. NSGCTs frequently present as mixed tumors consisting of two or more histological subtypes, often limiting correlative studies of clinical and molecular features to histology. We sought to develop a molecular classifier that could predict the predominant histologic subtype within mixed NSGCT tumor samples. The expression profiles of 84 NSGCTs (42 pure and 42 mixed) and normal age-matched testes were obtained using Affymetrix microarrays. Using prediction analysis for microarrays, we identified 146 transcripts that classified the histology of pure NSGCTs samples with 93% accuracy. When applied to mixed NSGCTs, the classifier predicted a histology that was consistent with one of the reported components in 93% of cases. Among the predictive transcripts were CGB (high in CC), LCN2 (high in T), BMP2 (high in YS), and POU5F1 (high in EC). Thus, the expression-based classifier accurately assigned a single predominant histology to mixed NSGCTs, and identified transcripts differentially expressed between histologic components with relevance to NSGCT differentiation."}
{"STANDARD_NAME":"HEIDENBLAD_AMPLIFIED_IN_PANCREATIC_CANCER","SYSTEMATIC_NAME":"M9044","ORGANISM":"Homo sapiens","PMID":"15688027","AUTHORS":"Heidenblad M,Lindgren D,Veltman JA,Jonson T,Mahlamäki EH,Gorunova L,Kessel van AG,Schoenmakers EF,Höglund M","EXACT_SOURCE":"Figure 2","CHIP":"Human_Image_Clone_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes amplified and up-regulated more than twofold in at least two out of 10 pancreatic cancer cell lines studied.","DESCRIPTION_FULL":"DNA copy number alterations are believed to play a major role in the development and progression of human neoplasms. Although most of these genomic imbalances have been associated with dysregulation of individual genes, their large-scale transcriptional consequences remain unclear. Pancreatic carcinomas frequently display gene copy number variation of entire chromosomes as well as of chromosomal subregions. These changes range from homozygous deletions to high-level amplifications and are believed to constitute key genetic alterations in the cellular transformation of this tumor type. To investigate the transcriptional consequences of the most drastic genomic changes, that is, genomic amplifications, and to analyse the genome-wide transcriptional effects of DNA copy number changes, we performed expression profiling of 29 pancreatic carcinoma cell lines and compared the results with matching genomic profiling data. We show that a strong association between DNA copy numbers and mRNA expression levels is present in pancreatic cancer, and demonstrate that as much as 60% of the genes within highly amplified genomic regions display associated overexpression. Consequently, we identified 67 recurrently overexpressed genes located in seven precisely mapped commonly amplified regions. The presented findings indicate that more than one putative target gene may be of importance in most pancreatic cancer amplicons."}
{"STANDARD_NAME":"TERAMOTO_OPN_TARGETS_CLUSTER_1","SYSTEMATIC_NAME":"M1197","ORGANISM":"Mus musculus","PMID":"15516973","AUTHORS":"Teramoto H,Castellone MD,Malek RL,Letwin N,Frank B,Gutkind JS,Lee NH","EXACT_SOURCE":"Suppl. Data: Cluster 1","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster 1: genes whose up-regulation peaked one day after knockdown of OPN [GeneID=6696] by RNAi in the NIH3T3 cells (fibroblasts) transformed by activated HRAS [GeneID=3265].","DESCRIPTION_FULL":"Activated forms of Ras family members are prevalent in many cancers where Ras mutants transduce signals essential for transformation, angiogenesis, invasion and metastasis. As a cancer progression model, we used NIH3T3 cells to explore the mechanism of Ras-induced tumorigenesis. Ras family mutants H-RasV12 and Rit79L strongly induced foci formation, while Rho family mutants RhoA-QL, Rac1-QL and Cdc42-QL were less effective. A comparison of downstream transcriptional targets of Ras and Rho family members using a 26 383 element cDNA microarray revealed that the osteopontin (OPN) gene exhibited the best correlation between magnitude of gene expression change and level of foci formation (r=0.96, P<0.001). In association with H-RasV12- and Rit79L-mediated transformation, foci secreted OPN protein and upregulated the OPN receptor CD44, suggesting the novel initiation of an aberrant OPN-CD44-Rac autocrine pathway. In support of this were the following observations. First, RGD-deficient OPN protein-binding activity was present in H-RasV12-transformed cells but not in control cells, and binding activity was inhibited by the CD44 blocking antibody. Second, foci formation, cell invasion and Rac activity were induced by H-RasV12 and inhibited by the CD44 blocking antibody. Third, foci formation by H-RasV12 was substantially reduced by a short interfering RNA (siRNA) specifically targeting OPN expression for knockdown. Fourth, H-RasV12-mediated transformation was not blocked by the GRGDS peptide, suggesting that OPN effects were not mediated by the integrins. Lastly, OPN knockdown affected the downstream expression of 160 '2nd tier' genes, and at least a subset of these genes appears to be involved in transformation. Indeed, four genes were selected for knockdown, each resulting in a disruption of foci formation and/or invasion. These results underscore the role of aberrant autocrine signaling and transcriptional networking during tumorigenesis."}
{"STANDARD_NAME":"TERAMOTO_OPN_TARGETS_CLUSTER_3","SYSTEMATIC_NAME":"M1198","ORGANISM":"Mus musculus","PMID":"15516973","AUTHORS":"Teramoto H,Castellone MD,Malek RL,Letwin N,Frank B,Gutkind JS,Lee NH","EXACT_SOURCE":"Suppl. Data: Cluster 3","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster 3: genes whose up-regulation peaked 3 days after knockdown of OPN [GeneID=6696] by RNAi in the NIH3T3 cells (fibroblasts) transformed by activated HRAS [GeneID=3265].","DESCRIPTION_FULL":"Activated forms of Ras family members are prevalent in many cancers where Ras mutants transduce signals essential for transformation, angiogenesis, invasion and metastasis. As a cancer progression model, we used NIH3T3 cells to explore the mechanism of Ras-induced tumorigenesis. Ras family mutants H-RasV12 and Rit79L strongly induced foci formation, while Rho family mutants RhoA-QL, Rac1-QL and Cdc42-QL were less effective. A comparison of downstream transcriptional targets of Ras and Rho family members using a 26 383 element cDNA microarray revealed that the osteopontin (OPN) gene exhibited the best correlation between magnitude of gene expression change and level of foci formation (r=0.96, P<0.001). In association with H-RasV12- and Rit79L-mediated transformation, foci secreted OPN protein and upregulated the OPN receptor CD44, suggesting the novel initiation of an aberrant OPN-CD44-Rac autocrine pathway. In support of this were the following observations. First, RGD-deficient OPN protein-binding activity was present in H-RasV12-transformed cells but not in control cells, and binding activity was inhibited by the CD44 blocking antibody. Second, foci formation, cell invasion and Rac activity were induced by H-RasV12 and inhibited by the CD44 blocking antibody. Third, foci formation by H-RasV12 was substantially reduced by a short interfering RNA (siRNA) specifically targeting OPN expression for knockdown. Fourth, H-RasV12-mediated transformation was not blocked by the GRGDS peptide, suggesting that OPN effects were not mediated by the integrins. Lastly, OPN knockdown affected the downstream expression of 160 '2nd tier' genes, and at least a subset of these genes appears to be involved in transformation. Indeed, four genes were selected for knockdown, each resulting in a disruption of foci formation and/or invasion. These results underscore the role of aberrant autocrine signaling and transcriptional networking during tumorigenesis."}
{"STANDARD_NAME":"TERAMOTO_OPN_TARGETS_CLUSTER_4","SYSTEMATIC_NAME":"M1199","ORGANISM":"Mus musculus","PMID":"15516973","AUTHORS":"Teramoto H,Castellone MD,Malek RL,Letwin N,Frank B,Gutkind JS,Lee NH","EXACT_SOURCE":"Suppl. Data: Cluster 4","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster 4: genes whose up-regulation peaked 4 days after knockdown of OPN [GeneID=6696] by RNAi in the NIH3T3 cells (fibroblasts) transformed by activated HRAS [GeneID=3265].","DESCRIPTION_FULL":"Activated forms of Ras family members are prevalent in many cancers where Ras mutants transduce signals essential for transformation, angiogenesis, invasion and metastasis. As a cancer progression model, we used NIH3T3 cells to explore the mechanism of Ras-induced tumorigenesis. Ras family mutants H-RasV12 and Rit79L strongly induced foci formation, while Rho family mutants RhoA-QL, Rac1-QL and Cdc42-QL were less effective. A comparison of downstream transcriptional targets of Ras and Rho family members using a 26 383 element cDNA microarray revealed that the osteopontin (OPN) gene exhibited the best correlation between magnitude of gene expression change and level of foci formation (r=0.96, P<0.001). In association with H-RasV12- and Rit79L-mediated transformation, foci secreted OPN protein and upregulated the OPN receptor CD44, suggesting the novel initiation of an aberrant OPN-CD44-Rac autocrine pathway. In support of this were the following observations. First, RGD-deficient OPN protein-binding activity was present in H-RasV12-transformed cells but not in control cells, and binding activity was inhibited by the CD44 blocking antibody. Second, foci formation, cell invasion and Rac activity were induced by H-RasV12 and inhibited by the CD44 blocking antibody. Third, foci formation by H-RasV12 was substantially reduced by a short interfering RNA (siRNA) specifically targeting OPN expression for knockdown. Fourth, H-RasV12-mediated transformation was not blocked by the GRGDS peptide, suggesting that OPN effects were not mediated by the integrins. Lastly, OPN knockdown affected the downstream expression of 160 '2nd tier' genes, and at least a subset of these genes appears to be involved in transformation. Indeed, four genes were selected for knockdown, each resulting in a disruption of foci formation and/or invasion. These results underscore the role of aberrant autocrine signaling and transcriptional networking during tumorigenesis."}
{"STANDARD_NAME":"TERAMOTO_OPN_TARGETS_CLUSTER_5","SYSTEMATIC_NAME":"M1201","ORGANISM":"Mus musculus","PMID":"15516973","AUTHORS":"Teramoto H,Castellone MD,Malek RL,Letwin N,Frank B,Gutkind JS,Lee NH","EXACT_SOURCE":"Suppl. Data: Cluster 5","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster 5: genes whose up-regulation peaked 5 days after knockdown of OPN [GeneID=6696] by RNAi in the NIH3T3 cells (fibroblasts) transformed by activated HRAS [GeneID=3265].","DESCRIPTION_FULL":"Activated forms of Ras family members are prevalent in many cancers where Ras mutants transduce signals essential for transformation, angiogenesis, invasion and metastasis. As a cancer progression model, we used NIH3T3 cells to explore the mechanism of Ras-induced tumorigenesis. Ras family mutants H-RasV12 and Rit79L strongly induced foci formation, while Rho family mutants RhoA-QL, Rac1-QL and Cdc42-QL were less effective. A comparison of downstream transcriptional targets of Ras and Rho family members using a 26 383 element cDNA microarray revealed that the osteopontin (OPN) gene exhibited the best correlation between magnitude of gene expression change and level of foci formation (r=0.96, P<0.001). In association with H-RasV12- and Rit79L-mediated transformation, foci secreted OPN protein and upregulated the OPN receptor CD44, suggesting the novel initiation of an aberrant OPN-CD44-Rac autocrine pathway. In support of this were the following observations. First, RGD-deficient OPN protein-binding activity was present in H-RasV12-transformed cells but not in control cells, and binding activity was inhibited by the CD44 blocking antibody. Second, foci formation, cell invasion and Rac activity were induced by H-RasV12 and inhibited by the CD44 blocking antibody. Third, foci formation by H-RasV12 was substantially reduced by a short interfering RNA (siRNA) specifically targeting OPN expression for knockdown. Fourth, H-RasV12-mediated transformation was not blocked by the GRGDS peptide, suggesting that OPN effects were not mediated by the integrins. Lastly, OPN knockdown affected the downstream expression of 160 '2nd tier' genes, and at least a subset of these genes appears to be involved in transformation. Indeed, four genes were selected for knockdown, each resulting in a disruption of foci formation and/or invasion. These results underscore the role of aberrant autocrine signaling and transcriptional networking during tumorigenesis."}
{"STANDARD_NAME":"TERAMOTO_OPN_TARGETS_CLUSTER_6","SYSTEMATIC_NAME":"M1202","ORGANISM":"Mus musculus","PMID":"15516973","AUTHORS":"Teramoto H,Castellone MD,Malek RL,Letwin N,Frank B,Gutkind JS,Lee NH","EXACT_SOURCE":"Suppl. Data: Cluster 6","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster 6: genes exhibiting prolonged up-regulation (>72 h) after knockdown of OPN [GeneID=6696] by RNAi in the NIH3T3 cells (fibroblasts) transformed by activated HRAS [GeneID=3265].","DESCRIPTION_FULL":"Activated forms of Ras family members are prevalent in many cancers where Ras mutants transduce signals essential for transformation, angiogenesis, invasion and metastasis. As a cancer progression model, we used NIH3T3 cells to explore the mechanism of Ras-induced tumorigenesis. Ras family mutants H-RasV12 and Rit79L strongly induced foci formation, while Rho family mutants RhoA-QL, Rac1-QL and Cdc42-QL were less effective. A comparison of downstream transcriptional targets of Ras and Rho family members using a 26 383 element cDNA microarray revealed that the osteopontin (OPN) gene exhibited the best correlation between magnitude of gene expression change and level of foci formation (r=0.96, P<0.001). In association with H-RasV12- and Rit79L-mediated transformation, foci secreted OPN protein and upregulated the OPN receptor CD44, suggesting the novel initiation of an aberrant OPN-CD44-Rac autocrine pathway. In support of this were the following observations. First, RGD-deficient OPN protein-binding activity was present in H-RasV12-transformed cells but not in control cells, and binding activity was inhibited by the CD44 blocking antibody. Second, foci formation, cell invasion and Rac activity were induced by H-RasV12 and inhibited by the CD44 blocking antibody. Third, foci formation by H-RasV12 was substantially reduced by a short interfering RNA (siRNA) specifically targeting OPN expression for knockdown. Fourth, H-RasV12-mediated transformation was not blocked by the GRGDS peptide, suggesting that OPN effects were not mediated by the integrins. Lastly, OPN knockdown affected the downstream expression of 160 '2nd tier' genes, and at least a subset of these genes appears to be involved in transformation. Indeed, four genes were selected for knockdown, each resulting in a disruption of foci formation and/or invasion. These results underscore the role of aberrant autocrine signaling and transcriptional networking during tumorigenesis."}
{"STANDARD_NAME":"TERAMOTO_OPN_TARGETS_CLUSTER_7","SYSTEMATIC_NAME":"M1203","ORGANISM":"Mus musculus","PMID":"15516973","AUTHORS":"Teramoto H,Castellone MD,Malek RL,Letwin N,Frank B,Gutkind JS,Lee NH","EXACT_SOURCE":"Suppl. Data: Cluster 7","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster 7: genes down-regulated early (within 24 h) after knockdown of OPN [GeneID=6696] by RNAi in the NIH3T3 cells (fibroblasts) transformed by activated HRAS [GeneID=3265].","DESCRIPTION_FULL":"Activated forms of Ras family members are prevalent in many cancers where Ras mutants transduce signals essential for transformation, angiogenesis, invasion and metastasis. As a cancer progression model, we used NIH3T3 cells to explore the mechanism of Ras-induced tumorigenesis. Ras family mutants H-RasV12 and Rit79L strongly induced foci formation, while Rho family mutants RhoA-QL, Rac1-QL and Cdc42-QL were less effective. A comparison of downstream transcriptional targets of Ras and Rho family members using a 26 383 element cDNA microarray revealed that the osteopontin (OPN) gene exhibited the best correlation between magnitude of gene expression change and level of foci formation (r=0.96, P<0.001). In association with H-RasV12- and Rit79L-mediated transformation, foci secreted OPN protein and upregulated the OPN receptor CD44, suggesting the novel initiation of an aberrant OPN-CD44-Rac autocrine pathway. In support of this were the following observations. First, RGD-deficient OPN protein-binding activity was present in H-RasV12-transformed cells but not in control cells, and binding activity was inhibited by the CD44 blocking antibody. Second, foci formation, cell invasion and Rac activity were induced by H-RasV12 and inhibited by the CD44 blocking antibody. Third, foci formation by H-RasV12 was substantially reduced by a short interfering RNA (siRNA) specifically targeting OPN expression for knockdown. Fourth, H-RasV12-mediated transformation was not blocked by the GRGDS peptide, suggesting that OPN effects were not mediated by the integrins. Lastly, OPN knockdown affected the downstream expression of 160 '2nd tier' genes, and at least a subset of these genes appears to be involved in transformation. Indeed, four genes were selected for knockdown, each resulting in a disruption of foci formation and/or invasion. These results underscore the role of aberrant autocrine signaling and transcriptional networking during tumorigenesis."}
{"STANDARD_NAME":"TERAMOTO_OPN_TARGETS_CLUSTER_8","SYSTEMATIC_NAME":"M1204","ORGANISM":"Mus musculus","PMID":"15516973","AUTHORS":"Teramoto H,Castellone MD,Malek RL,Letwin N,Frank B,Gutkind JS,Lee NH","EXACT_SOURCE":"Suppl. Data: Cluster 8","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster 8: genes showing sustained pattern of down-regulation after knockdown of OPN [GeneID=6696] by RNAi in the NIH3T3 cells (fibroblasts) transformed by activated HRAS [GeneID=3265].","DESCRIPTION_FULL":"Activated forms of Ras family members are prevalent in many cancers where Ras mutants transduce signals essential for transformation, angiogenesis, invasion and metastasis. As a cancer progression model, we used NIH3T3 cells to explore the mechanism of Ras-induced tumorigenesis. Ras family mutants H-RasV12 and Rit79L strongly induced foci formation, while Rho family mutants RhoA-QL, Rac1-QL and Cdc42-QL were less effective. A comparison of downstream transcriptional targets of Ras and Rho family members using a 26 383 element cDNA microarray revealed that the osteopontin (OPN) gene exhibited the best correlation between magnitude of gene expression change and level of foci formation (r=0.96, P<0.001). In association with H-RasV12- and Rit79L-mediated transformation, foci secreted OPN protein and upregulated the OPN receptor CD44, suggesting the novel initiation of an aberrant OPN-CD44-Rac autocrine pathway. In support of this were the following observations. First, RGD-deficient OPN protein-binding activity was present in H-RasV12-transformed cells but not in control cells, and binding activity was inhibited by the CD44 blocking antibody. Second, foci formation, cell invasion and Rac activity were induced by H-RasV12 and inhibited by the CD44 blocking antibody. Third, foci formation by H-RasV12 was substantially reduced by a short interfering RNA (siRNA) specifically targeting OPN expression for knockdown. Fourth, H-RasV12-mediated transformation was not blocked by the GRGDS peptide, suggesting that OPN effects were not mediated by the integrins. Lastly, OPN knockdown affected the downstream expression of 160 '2nd tier' genes, and at least a subset of these genes appears to be involved in transformation. Indeed, four genes were selected for knockdown, each resulting in a disruption of foci formation and/or invasion. These results underscore the role of aberrant autocrine signaling and transcriptional networking during tumorigenesis."}
{"STANDARD_NAME":"YORDY_RECIPROCAL_REGULATION_BY_ETS1_AND_SP100_DN","SYSTEMATIC_NAME":"M1208","ORGANISM":"Homo sapiens","PMID":"15592518","AUTHORS":"Yordy JS,Moussa O,Pei H,Chaussabel D,Li R,Watson DK","EXACT_SOURCE":"Table 2S: [GFP+VEGF vs. SP100/GFP+VEGF] > 0","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in HUVEC cells (endothelium) by ETS1 [GeneID=2113] which were up-regulated by SP100 [GeneID=6672].","DESCRIPTION_FULL":"SP100 was first identified as a nuclear autoimmune antigen and is a constituent of the nuclear body. SP100 interacts with the ETS1 transcription factor, and we have previously shown that SP100 reduces ETS1-DNA binding and inhibits ETS1 transcriptional activity on the MMP1 and uPA promoters. We now demonstrate that SP100 expression is upregulated by interferons, which have been shown to be antiangiogenic, in primary endothelial cells. As ETS1 is functionally important in promoting angiogenesis, we tested the hypothesis that ETS1 activity is negatively modulated by SP100 in endothelial cells. SP100 directly antagonizes ETS1-mediated morphological changes in human umbilical vein endothelial cell (HUVEC) network formation and reduces HUVEC migration and invasion. To further understand the functional relationship between ETS1 and SP100, cDNA microarray analysis was utilized to assess reprogramming of gene expression by ETS1 and SP100. A subset of the differentially regulated genes, including heat-shock proteins (HSPs) H11, HSPA1L, HSPA6, HSPA8, HSPE1 and AXIN1, BRCA1, CD14, CTGF (connective tissue growth factor), GABRE (gamma-aminobutyric acid A receptor epsilon), ICAM1, SNAI1, SRD5A1 (steroid-5-alpha-reductase 1) and THY1, were validated by real-time PCR and a majority showed reciprocal expression in response to ETS1 and SP100. Interestingly, genes that are negatively regulated by ETS1 and upregulated by SP100 have antimigratory or antiangiogenic properties. Collectively, these data indicate that SP100 negatively modulates ETS1-dependent downstream biological processes."}
{"STANDARD_NAME":"YORDY_RECIPROCAL_REGULATION_BY_ETS1_AND_SP100_UP","SYSTEMATIC_NAME":"M1211","ORGANISM":"Homo sapiens","PMID":"15592518","AUTHORS":"Yordy JS,Moussa O,Pei H,Chaussabel D,Li R,Watson DK","EXACT_SOURCE":"Table 2S: [GFP+VEGF vs. SP100/GFP+VEGF] < 0","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in HUVEC cells (endothelium) by ETS1 [GeneID=2113] which were down-regulated by SP100 [GeneID=6672].","DESCRIPTION_FULL":"SP100 was first identified as a nuclear autoimmune antigen and is a constituent of the nuclear body. SP100 interacts with the ETS1 transcription factor, and we have previously shown that SP100 reduces ETS1-DNA binding and inhibits ETS1 transcriptional activity on the MMP1 and uPA promoters. We now demonstrate that SP100 expression is upregulated by interferons, which have been shown to be antiangiogenic, in primary endothelial cells. As ETS1 is functionally important in promoting angiogenesis, we tested the hypothesis that ETS1 activity is negatively modulated by SP100 in endothelial cells. SP100 directly antagonizes ETS1-mediated morphological changes in human umbilical vein endothelial cell (HUVEC) network formation and reduces HUVEC migration and invasion. To further understand the functional relationship between ETS1 and SP100, cDNA microarray analysis was utilized to assess reprogramming of gene expression by ETS1 and SP100. A subset of the differentially regulated genes, including heat-shock proteins (HSPs) H11, HSPA1L, HSPA6, HSPA8, HSPE1 and AXIN1, BRCA1, CD14, CTGF (connective tissue growth factor), GABRE (gamma-aminobutyric acid A receptor epsilon), ICAM1, SNAI1, SRD5A1 (steroid-5-alpha-reductase 1) and THY1, were validated by real-time PCR and a majority showed reciprocal expression in response to ETS1 and SP100. Interestingly, genes that are negatively regulated by ETS1 and upregulated by SP100 have antimigratory or antiangiogenic properties. Collectively, these data indicate that SP100 negatively modulates ETS1-dependent downstream biological processes."}
{"STANDARD_NAME":"DACOSTA_ERCC3_ALLELE_XPCS_VS_TTD_UP","SYSTEMATIC_NAME":"M16941","ORGANISM":"Homo sapiens","PMID":"15608684","AUTHORS":"da Costa RM,Riou L,Paquola A,Menck CF,Sarasin A","EXACT_SOURCE":"Table 2: XP/CS","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in fibroblasts expressing different mutant forms of ERCC3 [GeneID=2071]: XP/CS (xeroderma pigmentosum (XP) and Cockraine's syndrome (CS)) vs TTD (trichothiodystrophy).","DESCRIPTION_FULL":"Xeroderma pigmentosum (XP) and trichothiodystrophy (TTD) syndromes are characterized by deficiency in nucleotide excision repair pathway, but with distinguished clinical manifestations. While XP patients exhibit a high frequency of skin cancer, TTD patients are not cancer prone. The relation between lack of DNA repair and their clinical manifestations was investigated through analysis of the transcriptional profile of 12,600 transcripts in two isogenic cell lines with different capabilities of DNA repair. These cell lines result from a stable transfection of the XPB-TTD allele into XP complementation group B fibroblasts, from an XP patient who also have clinical abnormalities corresponding to Cockayne's syndrome (CS). The microarray assays performed under normal growth conditions showed the expression of distinct groups of genes in each cell line. The UVC-transcription modulation of these cells revealed the changes in 869 transcripts. Some of these transcripts had similar modulation pattern in both cells, although with eventually different time patterns for induction or repression. However, some different 'UVC signature' for each cell line was also found, that is, transcripts that were specifically UV regulated depending on the DNA repair status of the cell. These results provide a detailed portrait of expression profiles that may potentially unravel the causes of the different phenotypes of XP/CS and TTD patients."}
{"STANDARD_NAME":"DACOSTA_ERCC3_ALLELE_XPCS_VS_TTD_DN","SYSTEMATIC_NAME":"M7439","ORGANISM":"Homo sapiens","PMID":"15608684","AUTHORS":"da Costa RM,Riou L,Paquola A,Menck CF,Sarasin A","EXACT_SOURCE":"Table 2: TTD","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in fibroblasts expressing different mutant forms of ERCC3 [GeneID=2071]: XP/CS (xeroderma pigmentosum (XP) and Cockraine's syndrome (CS)) vs TTD (trichothiodystrophy).","DESCRIPTION_FULL":"Xeroderma pigmentosum (XP) and trichothiodystrophy (TTD) syndromes are characterized by deficiency in nucleotide excision repair pathway, but with distinguished clinical manifestations. While XP patients exhibit a high frequency of skin cancer, TTD patients are not cancer prone. The relation between lack of DNA repair and their clinical manifestations was investigated through analysis of the transcriptional profile of 12,600 transcripts in two isogenic cell lines with different capabilities of DNA repair. These cell lines result from a stable transfection of the XPB-TTD allele into XP complementation group B fibroblasts, from an XP patient who also have clinical abnormalities corresponding to Cockayne's syndrome (CS). The microarray assays performed under normal growth conditions showed the expression of distinct groups of genes in each cell line. The UVC-transcription modulation of these cells revealed the changes in 869 transcripts. Some of these transcripts had similar modulation pattern in both cells, although with eventually different time patterns for induction or repression. However, some different 'UVC signature' for each cell line was also found, that is, transcripts that were specifically UV regulated depending on the DNA repair status of the cell. These results provide a detailed portrait of expression profiles that may potentially unravel the causes of the different phenotypes of XP/CS and TTD patients."}
{"STANDARD_NAME":"DACOSTA_LOW_DOSE_UV_RESPONSE_VIA_ERCC3_XPCS_UP","SYSTEMATIC_NAME":"M17421","ORGANISM":"Homo sapiens","PMID":"15608684","AUTHORS":"da Costa RM,Riou L,Paquola A,Menck CF,Sarasin A","EXACT_SOURCE":"Table 6, 2S: SLR > 0","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in fibroblasts expressing the XP/CS mutant form of ERCC3 [GeneID=2071], after low dose UVC irradiation.","DESCRIPTION_FULL":"Xeroderma pigmentosum (XP) and trichothiodystrophy (TTD) syndromes are characterized by deficiency in nucleotide excision repair pathway, but with distinguished clinical manifestations. While XP patients exhibit a high frequency of skin cancer, TTD patients are not cancer prone. The relation between lack of DNA repair and their clinical manifestations was investigated through analysis of the transcriptional profile of 12,600 transcripts in two isogenic cell lines with different capabilities of DNA repair. These cell lines result from a stable transfection of the XPB-TTD allele into XP complementation group B fibroblasts, from an XP patient who also have clinical abnormalities corresponding to Cockayne's syndrome (CS). The microarray assays performed under normal growth conditions showed the expression of distinct groups of genes in each cell line. The UVC-transcription modulation of these cells revealed the changes in 869 transcripts. Some of these transcripts had similar modulation pattern in both cells, although with eventually different time patterns for induction or repression. However, some different 'UVC signature' for each cell line was also found, that is, transcripts that were specifically UV regulated depending on the DNA repair status of the cell. These results provide a detailed portrait of expression profiles that may potentially unravel the causes of the different phenotypes of XP/CS and TTD patients."}
{"STANDARD_NAME":"DACOSTA_LOW_DOSE_UV_RESPONSE_VIA_ERCC3_XPCS_DN","SYSTEMATIC_NAME":"M14105","ORGANISM":"Homo sapiens","PMID":"15608684","AUTHORS":"da Costa RM,Riou L,Paquola A,Menck CF,Sarasin A","EXACT_SOURCE":"Table 6, 2S: SLR < 0","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in fibroblasts expressing the XP/CS mutant form of ERCC3 [GeneID=2071], after low dose UVC irradiation.","DESCRIPTION_FULL":"Xeroderma pigmentosum (XP) and trichothiodystrophy (TTD) syndromes are characterized by deficiency in nucleotide excision repair pathway, but with distinguished clinical manifestations. While XP patients exhibit a high frequency of skin cancer, TTD patients are not cancer prone. The relation between lack of DNA repair and their clinical manifestations was investigated through analysis of the transcriptional profile of 12,600 transcripts in two isogenic cell lines with different capabilities of DNA repair. These cell lines result from a stable transfection of the XPB-TTD allele into XP complementation group B fibroblasts, from an XP patient who also have clinical abnormalities corresponding to Cockayne's syndrome (CS). The microarray assays performed under normal growth conditions showed the expression of distinct groups of genes in each cell line. The UVC-transcription modulation of these cells revealed the changes in 869 transcripts. Some of these transcripts had similar modulation pattern in both cells, although with eventually different time patterns for induction or repression. However, some different 'UVC signature' for each cell line was also found, that is, transcripts that were specifically UV regulated depending on the DNA repair status of the cell. These results provide a detailed portrait of expression profiles that may potentially unravel the causes of the different phenotypes of XP/CS and TTD patients."}
{"STANDARD_NAME":"DIRMEIER_LMP1_RESPONSE_LATE_DN","SYSTEMATIC_NAME":"M16713","ORGANISM":"Homo sapiens","PMID":"15674340","AUTHORS":"Dirmeier U,Hoffmann R,Kilger E,Schultheiss U,Briseño C,Gires O,Kieser A,Eick D,Sugden B,Hammerschmidt W","EXACT_SOURCE":"Table 1S: cluster 4","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster 4: genes down-regulated in B2264-19/3 cells (primary B lymphocytes) within 60-180 min after activation of LMP1 (an oncogene encoded by Epstein-Barr virus, EBV).","DESCRIPTION_FULL":"Latent membrane protein 1 (LMP1), an oncoprotein encoded by Epstein-Barr virus (EBV), is an integral membrane protein, which acts like a constitutively active receptor. LMP1 is critical for some facet of EBV's induction and maintenance of proliferation of infected B cells. It, in part, mimics signaling by the CD40 receptor and has been implicated in regulating proliferation, survival, or both properties of EBV-infected cells. We established a conditional LMP1 allele in the context of the intact EBV genome to define the immediate-early cellular target genes regulated by LMP1 in order to assess its contributions to infected human B cells. The functional analysis of this conditional system indicated that LMP1 specifically induces mitogenic B-cell activation through c-myc and Jun/AP1 family members and confirms its direct role in upregulating expression of multiple genes with opposing activities involved in cell survival. LMP1's signals were found to be essential for the G1/S transition in human B cells; cells lacking LMP1's signals are cell cycle arrested and survive quiescently. LMP1's activities are therefore not required to maintain survival in nonproliferating cells. LMP1 does induce both pro- and antiapoptotic genes whose balance seems to permit survival during LMP1's induction and maintenance of proliferation."}
{"STANDARD_NAME":"HEIDENBLAD_AMPLICON_8Q24_UP","SYSTEMATIC_NAME":"M18260","ORGANISM":"Homo sapiens","PMID":"15688027","AUTHORS":"Heidenblad M,Lindgren D,Veltman JA,Jonson T,Mahlamäki EH,Gorunova L,Kessel van AG,Schoenmakers EF,Höglund M","EXACT_SOURCE":"Fig 4A: red in the first 5 samples","CHIP":"Human_Image_Clone_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Up-regulated genes whose expression is associated with amplification of the 8q24 chromosome region in pancreatic cancer cell lines.","DESCRIPTION_FULL":"DNA copy number alterations are believed to play a major role in the development and progression of human neoplasms. Although most of these genomic imbalances have been associated with dysregulation of individual genes, their large-scale transcriptional consequences remain unclear. Pancreatic carcinomas frequently display gene copy number variation of entire chromosomes as well as of chromosomal subregions. These changes range from homozygous deletions to high-level amplifications and are believed to constitute key genetic alterations in the cellular transformation of this tumor type. To investigate the transcriptional consequences of the most drastic genomic changes, that is, genomic amplifications, and to analyse the genome-wide transcriptional effects of DNA copy number changes, we performed expression profiling of 29 pancreatic carcinoma cell lines and compared the results with matching genomic profiling data. We show that a strong association between DNA copy numbers and mRNA expression levels is present in pancreatic cancer, and demonstrate that as much as 60% of the genes within highly amplified genomic regions display associated overexpression. Consequently, we identified 67 recurrently overexpressed genes located in seven precisely mapped commonly amplified regions. The presented findings indicate that more than one putative target gene may be of importance in most pancreatic cancer amplicons."}
{"STANDARD_NAME":"HEIDENBLAD_AMPLICON_8Q24_DN","SYSTEMATIC_NAME":"M11584","ORGANISM":"Homo sapiens","PMID":"15688027","AUTHORS":"Heidenblad M,Lindgren D,Veltman JA,Jonson T,Mahlamäki EH,Gorunova L,Kessel van AG,Schoenmakers EF,Höglund M","EXACT_SOURCE":"Fig 4A: green in the first 5 samples","CHIP":"Human_Image_Clone_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated genes whose expression is associated with amplification of the 8q24 chromosome region in pancreatic cancer cell lines.","DESCRIPTION_FULL":"DNA copy number alterations are believed to play a major role in the development and progression of human neoplasms. Although most of these genomic imbalances have been associated with dysregulation of individual genes, their large-scale transcriptional consequences remain unclear. Pancreatic carcinomas frequently display gene copy number variation of entire chromosomes as well as of chromosomal subregions. These changes range from homozygous deletions to high-level amplifications and are believed to constitute key genetic alterations in the cellular transformation of this tumor type. To investigate the transcriptional consequences of the most drastic genomic changes, that is, genomic amplifications, and to analyse the genome-wide transcriptional effects of DNA copy number changes, we performed expression profiling of 29 pancreatic carcinoma cell lines and compared the results with matching genomic profiling data. We show that a strong association between DNA copy numbers and mRNA expression levels is present in pancreatic cancer, and demonstrate that as much as 60% of the genes within highly amplified genomic regions display associated overexpression. Consequently, we identified 67 recurrently overexpressed genes located in seven precisely mapped commonly amplified regions. The presented findings indicate that more than one putative target gene may be of importance in most pancreatic cancer amplicons."}
{"STANDARD_NAME":"HEIDENBLAD_AMPLICON_12P11_12_UP","SYSTEMATIC_NAME":"M8231","ORGANISM":"Homo sapiens","PMID":"15688027","AUTHORS":"Heidenblad M,Lindgren D,Veltman JA,Jonson T,Mahlamäki EH,Gorunova L,Kessel van AG,Schoenmakers EF,Höglund M","EXACT_SOURCE":"Fig 4B:red in the first 4 samples","CHIP":"Human_Image_Clone_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Up-regulated genes whose expression is associated with amplification of the 12p11-12 chromosome in pancreatic cancer cell lines.","DESCRIPTION_FULL":"DNA copy number alterations are believed to play a major role in the development and progression of human neoplasms. Although most of these genomic imbalances have been associated with dysregulation of individual genes, their large-scale transcriptional consequences remain unclear. Pancreatic carcinomas frequently display gene copy number variation of entire chromosomes as well as of chromosomal subregions. These changes range from homozygous deletions to high-level amplifications and are believed to constitute key genetic alterations in the cellular transformation of this tumor type. To investigate the transcriptional consequences of the most drastic genomic changes, that is, genomic amplifications, and to analyse the genome-wide transcriptional effects of DNA copy number changes, we performed expression profiling of 29 pancreatic carcinoma cell lines and compared the results with matching genomic profiling data. We show that a strong association between DNA copy numbers and mRNA expression levels is present in pancreatic cancer, and demonstrate that as much as 60% of the genes within highly amplified genomic regions display associated overexpression. Consequently, we identified 67 recurrently overexpressed genes located in seven precisely mapped commonly amplified regions. The presented findings indicate that more than one putative target gene may be of importance in most pancreatic cancer amplicons."}
{"STANDARD_NAME":"HEIDENBLAD_AMPLICON_12P11_12_DN","SYSTEMATIC_NAME":"M1602","ORGANISM":"Homo sapiens","PMID":"15688027","AUTHORS":"Heidenblad M,Lindgren D,Veltman JA,Jonson T,Mahlamäki EH,Gorunova L,Kessel van AG,Schoenmakers EF,Höglund M","EXACT_SOURCE":"Fig 4B: green in the first 4 samples","CHIP":"Human_Image_Clone_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated genes whose expression is associated with amplification of the 12p11-12 chromosome in pancreatic cancer cell lines.","DESCRIPTION_FULL":"DNA copy number alterations are believed to play a major role in the development and progression of human neoplasms. Although most of these genomic imbalances have been associated with dysregulation of individual genes, their large-scale transcriptional consequences remain unclear. Pancreatic carcinomas frequently display gene copy number variation of entire chromosomes as well as of chromosomal subregions. These changes range from homozygous deletions to high-level amplifications and are believed to constitute key genetic alterations in the cellular transformation of this tumor type. To investigate the transcriptional consequences of the most drastic genomic changes, that is, genomic amplifications, and to analyse the genome-wide transcriptional effects of DNA copy number changes, we performed expression profiling of 29 pancreatic carcinoma cell lines and compared the results with matching genomic profiling data. We show that a strong association between DNA copy numbers and mRNA expression levels is present in pancreatic cancer, and demonstrate that as much as 60% of the genes within highly amplified genomic regions display associated overexpression. Consequently, we identified 67 recurrently overexpressed genes located in seven precisely mapped commonly amplified regions. The presented findings indicate that more than one putative target gene may be of importance in most pancreatic cancer amplicons."}
{"STANDARD_NAME":"FUNG_IL2_SIGNALING_2","SYSTEMATIC_NAME":"M10198","ORGANISM":"Homo sapiens","PMID":"15735688","AUTHORS":"Fung MM,Chu YL,Fink JL,Wallace A,McGuire KL","EXACT_SOURCE":"Table 1: Genes uniquely upregulated by IL-2 in T1","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated by IL2 [GeneID=3558] in T1 cells (primary thymocytes immortalized by Tax, an HTLV-1 encoded gene).","DESCRIPTION_FULL":"Interleukin-2 (IL-2) mediates cell cycle progression and antiapoptosis in human T cells via several signal transduction pathways. The Tax protein of the human T-cell leukemia virus type I (HTLV-1) deregulates cell growth and alters the role of IL-2 in infected cells. However, Tax-immortalized cells stay dependent on IL-2, suggesting that events besides HTLV-1 gene expression are required for leukemia to develop. Here, IL-2-dependent and -independent events were analysed in a human T cell line immortalized by Tax. These studies show that, of the signaling pathways evaluated, only STAT5 remains dependent. Microarray analyses revealed several genes, including il-5, il-9 and il-13, are uniquely upregulated by IL-2 in the presence of Tax. Bioinformatics and supporting molecular biology show that some of these genes are STAT5 targets, explaining their IL-2 upregulation. These results suggest that IL-2 and viral proteins work together to induce gene expression, promoting the hypothesis that deregulation via the constitutive activation of STAT5 may lead to the IL-2-independent phenotype of HTLV-1-transformed cells."}
{"STANDARD_NAME":"FUNG_IL2_SIGNALING_1","SYSTEMATIC_NAME":"M14139","ORGANISM":"Homo sapiens","PMID":"15735688","AUTHORS":"Fung MM,Chu YL,Fink JL,Wallace A,McGuire KL","EXACT_SOURCE":"Table 1: Genes upregulated by IL-2 in T1 and primary T cells","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated by IL2 [GeneID=3558] in both primary thymocytes and T1 cells (primary thymocytes immortalized by Tax, an HTLV-1 encoded gene).","DESCRIPTION_FULL":"Interleukin-2 (IL-2) mediates cell cycle progression and antiapoptosis in human T cells via several signal transduction pathways. The Tax protein of the human T-cell leukemia virus type I (HTLV-1) deregulates cell growth and alters the role of IL-2 in infected cells. However, Tax-immortalized cells stay dependent on IL-2, suggesting that events besides HTLV-1 gene expression are required for leukemia to develop. Here, IL-2-dependent and -independent events were analysed in a human T cell line immortalized by Tax. These studies show that, of the signaling pathways evaluated, only STAT5 remains dependent. Microarray analyses revealed several genes, including il-5, il-9 and il-13, are uniquely upregulated by IL-2 in the presence of Tax. Bioinformatics and supporting molecular biology show that some of these genes are STAT5 targets, explaining their IL-2 upregulation. These results suggest that IL-2 and viral proteins work together to induce gene expression, promoting the hypothesis that deregulation via the constitutive activation of STAT5 may lead to the IL-2-independent phenotype of HTLV-1-transformed cells."}
{"STANDARD_NAME":"FUNG_IL2_TARGETS_WITH_STAT5_BINDING_SITES_T1","SYSTEMATIC_NAME":"M5058","ORGANISM":"Homo sapiens","PMID":"15735688","AUTHORS":"Fung MM,Chu YL,Fink JL,Wallace A,McGuire KL","EXACT_SOURCE":"Table 3: Genes uniquely upregulated by IL-2 in T1","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with putative STAT5 [GeneID=6777] binding sites; up-regulated by IL2 [GeneID=3558] only in T1 cells (primary thymocytes immortalized by Tax, an HTLV-1 encoded gene).","DESCRIPTION_FULL":"Interleukin-2 (IL-2) mediates cell cycle progression and antiapoptosis in human T cells via several signal transduction pathways. The Tax protein of the human T-cell leukemia virus type I (HTLV-1) deregulates cell growth and alters the role of IL-2 in infected cells. However, Tax-immortalized cells stay dependent on IL-2, suggesting that events besides HTLV-1 gene expression are required for leukemia to develop. Here, IL-2-dependent and -independent events were analysed in a human T cell line immortalized by Tax. These studies show that, of the signaling pathways evaluated, only STAT5 remains dependent. Microarray analyses revealed several genes, including il-5, il-9 and il-13, are uniquely upregulated by IL-2 in the presence of Tax. Bioinformatics and supporting molecular biology show that some of these genes are STAT5 targets, explaining their IL-2 upregulation. These results suggest that IL-2 and viral proteins work together to induce gene expression, promoting the hypothesis that deregulation via the constitutive activation of STAT5 may lead to the IL-2-independent phenotype of HTLV-1-transformed cells."}
{"STANDARD_NAME":"FUNG_IL2_TARGETS_WITH_STAT5_BINDING_SITES","SYSTEMATIC_NAME":"M19436","ORGANISM":"Homo sapiens","PMID":"15735688","AUTHORS":"Fung MM,Chu YL,Fink JL,Wallace A,McGuire KL","EXACT_SOURCE":"Table 3: Genes upregulated by IL-2 in T1 and primary T cells","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with putative STAT5 [GeneID=6777] binding sites; up-regulated by IL2 [Gene D=3558] in both primary thymocytes and T1 cells (primary thymocytes immortalized by Tax, an HTLV-1 encoded gene).","DESCRIPTION_FULL":"Interleukin-2 (IL-2) mediates cell cycle progression and antiapoptosis in human T cells via several signal transduction pathways. The Tax protein of the human T-cell leukemia virus type I (HTLV-1) deregulates cell growth and alters the role of IL-2 in infected cells. However, Tax-immortalized cells stay dependent on IL-2, suggesting that events besides HTLV-1 gene expression are required for leukemia to develop. Here, IL-2-dependent and -independent events were analysed in a human T cell line immortalized by Tax. These studies show that, of the signaling pathways evaluated, only STAT5 remains dependent. Microarray analyses revealed several genes, including il-5, il-9 and il-13, are uniquely upregulated by IL-2 in the presence of Tax. Bioinformatics and supporting molecular biology show that some of these genes are STAT5 targets, explaining their IL-2 upregulation. These results suggest that IL-2 and viral proteins work together to induce gene expression, promoting the hypothesis that deregulation via the constitutive activation of STAT5 may lead to the IL-2-independent phenotype of HTLV-1-transformed cells."}
{"STANDARD_NAME":"SASAKI_TARGETS_OF_TP73_AND_TP63","SYSTEMATIC_NAME":"M17374","ORGANISM":"Homo sapiens","PMID":"15856012","AUTHORS":"Sasaki Y,Naishiro Y,Oshima Y,Imai K,Nakamura Y,Tokino T","EXACT_SOURCE":"Table 1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in DLD1 cells (colon cancer) by p73 beta [GeneID=7161] or by and p63 gamma [GeneID=8626] but not by p53 [GeneID=7157].","DESCRIPTION_FULL":"p63 and p73 show a high degree of structural homology to p53 and are members of a family of transcriptional factors that can activate transcription of p53-responsive genes. p53 is mutated in more than 50% of human cancers, whereas p63 and p73 are rarely mutated. Studies of knockout mice also revealed an unexpected functional diversity among the p53 family. To determine how p63 and p73 are involved in tumorigenesis and normal development, we used cDNA microarray to examine 9216 genes in human colorectal cancer cells. We discovered that the expression of pigment epithelium-derived factor (PEDF) was specifically induced by either p63 or p73, but not by p53. We also report here that the PEDF gene contains a response element specific for p63 and p73 in its promoter region and is a direct target of p63 and p73. Collectively, p63 and p73 may be involved in cell fate by inducing PEDF expression."}
{"STANDARD_NAME":"YANAGIHARA_ESX1_TARGETS","SYSTEMATIC_NAME":"M1538","ORGANISM":"Homo sapiens","PMID":"15897875","AUTHORS":"Yanagihara M,Ishikawa S,Naito M,Nakajima J,Aburatani H,Hatakeyama M","EXACT_SOURCE":"Table 1","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in U2-OS Tet-On cells (osteosarcoma) after induction of ESX1 [GeneID=80712] expression.","DESCRIPTION_FULL":"Gain-of-function mutation of the K-ras gene is one of the most common genetic changes in human tumors. In tumors carrying K-ras mutation, the presence of oncogenic K-Ras is necessary for maintenance of the transformed phenotype. ESXR1 is a human paired-like homeodomain-containing protein expressed primarily in the testis. In cells, the 65-kDa full-length ESXR1 protein is proteolytically processed into an N-terminal 45-kDa fragment containing the homeodomain, which localizes exclusively within the nucleus, and a C-terminal 20-kDa fragment consisting of a proline-rich repeat region, which is located in the cytoplasm. In this work, we demonstrated that the N-terminal ESXR1 fragment specifically recognizes the TAATNNNATTA P3 consensus sequence for the paired-like homeodomain and functions as a sequence-specific transcriptional repressor. We also showed that the N-terminal ESXR1 fragment binds to the TAATGTTATTA sequence present within the first intron of the human K-ras gene and inhibits its expression at both mRNA and protein levels. Ectopic expression of the N-terminal ESXR1 fragment in human carcinoma cells that carry mutated K-ras reduces the level of K-Ras and thereby inhibits the tumor cell proliferation. Identification of ESXR1 as a transcriptional repressor of K-ras has an important implication for the development of cancer therapy that inhibits oncogenic K-Ras expression."}
{"STANDARD_NAME":"TSUNODA_CISPLATIN_RESISTANCE_UP","SYSTEMATIC_NAME":"M10202","ORGANISM":"Homo sapiens","PMID":"15608674","AUTHORS":"Tsunoda T,Koga H,Yokomizo A,Tatsugami K,Eto M,Inokuchi J,Hirata A,Masuda K,Okumura K,Naito S","EXACT_SOURCE":"Table 1, 2: Downregulated genes","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in bladder cancer cells resistant to cisplatin [PubChem=2767] compared to the parental cells sensitive to the drug.","DESCRIPTION_FULL":"To investigate the molecules that regulate the acquisition of cis-diamminedichloroplatinum (II) (cisplatin) resistance, we performed cDNA microarrays using two pairs of parental and cisplatin-resistant bladder cancer cell lines. We found a markedly reduced expression of inositol 1,4,5-trisphosphate (IP3) receptor type1 (IP3R1), endoplasmic reticulum membrane protein, in cisplatin-resistant cells. The suppression of IP3R1 expression using small interfering RNA in parental cells prevented apoptosis and resulted in decreased sensitivity to cisplatin. Contrarily, overexpression of IP3R1 in resistant cells induced apoptosis and increased sensitivity to cisplatin. These results suggest that cisplatin-induced downregulation of IP3R1 expression was closely associated with the acquisition of cisplatin resistance in bladder cancer cells."}
{"STANDARD_NAME":"TSUNODA_CISPLATIN_RESISTANCE_DN","SYSTEMATIC_NAME":"M5014","ORGANISM":"Homo sapiens","PMID":"15608674","AUTHORS":"Tsunoda T,Koga H,Yokomizo A,Tatsugami K,Eto M,Inokuchi J,Hirata A,Masuda K,Okumura K,Naito S","EXACT_SOURCE":"Table 1, 2: Upregulated genes","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in bladder cancer cells resistant to cisplatin [PubChem=2767] compared to the parental cells sensitive to the drug.","DESCRIPTION_FULL":"To investigate the molecules that regulate the acquisition of cis-diamminedichloroplatinum (II) (cisplatin) resistance, we performed cDNA microarrays using two pairs of parental and cisplatin-resistant bladder cancer cell lines. We found a markedly reduced expression of inositol 1,4,5-trisphosphate (IP3) receptor type1 (IP3R1), endoplasmic reticulum membrane protein, in cisplatin-resistant cells. The suppression of IP3R1 expression using small interfering RNA in parental cells prevented apoptosis and resulted in decreased sensitivity to cisplatin. Contrarily, overexpression of IP3R1 in resistant cells induced apoptosis and increased sensitivity to cisplatin. These results suggest that cisplatin-induced downregulation of IP3R1 expression was closely associated with the acquisition of cisplatin resistance in bladder cancer cells."}
{"STANDARD_NAME":"MAINA_HYPOXIA_VHL_TARGETS_UP","SYSTEMATIC_NAME":"M12398","ORGANISM":"Homo sapiens","PMID":"15824735","AUTHORS":"Maina EN,Morris MR,Zatyka M,Raval RR,Banks RE,Richards FM,Johnson CM,Maher ER","EXACT_SOURCE":"Table 4: RCC4 [arrow up]","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated by hypoxia in RCC4 cells (renal cell carcinoma) engineered to stably express VHL [GeneID=7428] off a plasmid vector.","DESCRIPTION_FULL":"Upregulation of hypoxia-inducible factors HIF-1 and HIF-2 is frequent in human cancers and may result from tissue hypoxia or genetic mechanisms, in particular the inactivation of the von Hippel-Lindau (VHL) tumour suppressor gene (TSG). Tumours with VHL inactivation are highly vascular, but it is unclear to what extent HIF-dependent and HIF-independent mechanisms account for pVHL tumour suppressor activity. As the identification of novel pVHL targets might provide insights into pVHL tumour suppressor activity, we performed gene expression microarray analysis in VHL-wild-type and VHL-null renal cell carcinoma (RCC) cell lines. We identified 30 differentially regulated pVHL targets (26 of which were 'novel') and the results of microarray analysis were confirmed in all 11 novel targets further analysed by real-time RT-PCR or Western blotting. Furthermore, nine of 11 targets were dysregulated in the majority of a series of primary clear cell RCC with VHL inactivation. Three of the nine targets had been identified previously as candidate TSGs (DOC-2/DAB2, CDKN1C and SPARC) and all were upregulated by wild-type pVHL. The significance for pVHL function of two further genes upregulated by wild-type pVHL was initially unclear, but re-expression of GNG4 (G protein gamma-4 subunit/guanine nucleotide-binding protein-4) and MLC2 (myosin light chain) in a RCC cell line suppressed tumour cell growth. pVHL regulation of CDKN1C, SPARC and GNG4 was not mimicked by hypoxia, whereas for six of 11 novel targets analysed (including DOC-2/DAB2 and MLC2) the effects of pVHL inactivation and hypoxia were similar. For GPR56 there was evidence of a tissue-specific hypoxia response. Such a phenomenon might, in part, explain organ-specific tumorigenesis in VHL disease. These provide insights into mechanisms of pVHL tumour suppressor function and identify novel hypoxia-responsive targets that might be implicated in tumorigenesis in both VHL disease and in other cancers with HIF upregulation."}
{"STANDARD_NAME":"MARTORIATI_MDM4_TARGETS_NEUROEPITHELIUM_DN","SYSTEMATIC_NAME":"M12135","ORGANISM":"Mus musculus","PMID":"15608685","AUTHORS":"Martoriati A,Doumont G,Alcalay M,Bellefroid E,Pelicci PG,Marine JC","GEOID":"E-MEXP-155","EXACT_SOURCE":"Table 1S: Neur = D","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in apoptotic tissues (neuroepithelium) after MDM4 [GeneID=4194] knockout.","DESCRIPTION_FULL":"The p53 tumour suppressor functions as a transcriptional activator, and several p53-inducible genes that play a critical proapoptotic role have been described. Moreover, p53 regulates the expression of various proteins participating in autoregulatory feedback loops, including proteins that negatively control p53 stability (Mdm2 and Pirh2) or modulate stress-induced phosphorylation of p53 on Ser-46 (p53DINP1 or Wip1), a key event for p53-induced apoptosis. Here, we describe a new systematic analysis of p53 targets using oligonucleotide chips, and report the identification of dapk1 as a novel p53 target. We demonstrate that dapk1 mRNA levels increase in a p53-dependent manner in various cellular settings. Both human and mouse dapk1 genomic loci contain DNA sequences that bind p53 in vitro and in vivo. Since dapk1 encodes a serine/threonine kinase previously shown to suppress oncogene-induced transformation by activating a p19ARF/p53-dependent apoptotic checkpoint, our results suggest that Dapk1 participates in a new positive feedback loop controlling p53 activation and apoptosis."}
{"STANDARD_NAME":"LI_WILMS_TUMOR_ANAPLASTIC_DN","SYSTEMATIC_NAME":"M1216","ORGANISM":"Homo sapiens","PMID":"15531917","AUTHORS":"Li W,Kessler P,Williams BR","EXACT_SOURCE":"Table 2: change < 0","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Selected down-regulated genes distinguishing between Wilms tumors of different histological types: anaplastic vs favorable histology.","DESCRIPTION_FULL":"Anaplasia (unfavorable histology) is associated with therapy resistance and poor prognosis of Wilms tumor, but the molecular basis for this phenotype is unclear. Here, we used a cDNA array with 9240 clones relevant to cancer biology and/or kidney development to examine the expression profiles of 54 Wilms tumors, five normal kidneys and fetal kidney. By linking genes differentially expressed between fetal kidney and Wilms tumors to kidney morphogenesis, we found that genes expressed at a higher level in Wilms tumors tend to be expressed more in uninduced metanephrogenic mesenchyme or blastema than in their differentiated structures. Conversely, genes expressed at a lower level in Wilms tumors tend to be expressed less in uninduced metanephrogenic mesenchyme or blastema. We also identified 97 clones representing 76 Unigenes or unclustered ESTs that clearly separate anaplastic Wilms tumors from tumors with favorable histology. Genes in this set provide insight into the nature of the abnormal nuclear morphology of anaplastic tumors and may facilitate identification of molecular targets to improve their responsiveness to treatment."}
{"STANDARD_NAME":"BORLAK_LIVER_CANCER_EGF_UP","SYSTEMATIC_NAME":"M1218","ORGANISM":"Mus musculus","PMID":"15674348","AUTHORS":"Borlak J,Meier T,Halter R,Spanel R,Spanel-Borowski K","EXACT_SOURCE":"Table 2a","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in hepatocellular carcinoma (HCC) developed by transgenic mice overexpressing a secretable form of EGF [GeneID=1950] in liver.","DESCRIPTION_FULL":"Epidermal growth factor is an important mitogen for hepatocytes. Its overexpression promotes hepatocellular carcinogenesis. To identify the network of genes regulated through EGF, we investigated the liver transcriptome during various stages of hepatocarcinogenesis in EGF2B transgenic mice. Targeted overexpression of IgEGF induced distinct hepatocellular lesions and eventually solid tumours at the age of 6-8 months, as evidenced by histopathology. We used the murine MG U74Av2 oligonucleotide microarrays to identify transcript signatures in 12 tumours of small (n=5, pooled), medium (n=4) and large sizes (n=3), and compared the findings with three nontumorous transgenic livers and four control livers. Global gene expression analysis at successive stages of carcinogenesis revealed hallmarks linked to tumour size. A comparison of gene expression profiles of nontumorous transgenic liver versus control liver provided insight into the initial events predisposing liver cells to malignant transformation, and we found overexpression of c-fos, eps-15, TGIF, IGFBP1, Alcam, ets-2 and repression of Gas-1 as distinct events. Further, when gene expression profiles of small manifested tumours were compared with nontumorous transgenic liver, additional changes were obvious and included overexpression of junB, Id-1, minopontin, villin, claudin-7, RR M2, p34cdc2, cyclinD1 and cyclinB1 among others. These genes are therefore strongly associated with tumour formation. Our study provided new information on the tumour stage-dependent network of EGF-regulated genes, and we identified candidate genes linked to tumorigenes and progression of disease."}
{"STANDARD_NAME":"WOOD_EBV_EBNA1_TARGETS_UP","SYSTEMATIC_NAME":"M1696","ORGANISM":"Homo sapiens","PMID":"17486072","AUTHORS":"Wood VH,O'Neil JD,Wei W,Stewart SE,Dawson CW,Young LS","EXACT_SOURCE":"Table 1S","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in the Ad/AH cells (adenocarcinoma) engineered to stably express the Epstein-Barr virus (EBV) gene EBNA1.","DESCRIPTION_FULL":"The Epstein-Barr virus (EBV)-encoded EBNA1 protein is expressed in all virus-associated tumors where it plays an essential role in the maintenance, replication and transcription of the EBV genome. Transcriptional profiling of EBNA1-expressing carcinoma cells demonstrated that EBNA1 also influences the expression of a range of cellular genes including those involved in translation, transcription and cell signaling. Of particular interest was the ability of EBNA1 to enhance expression of STAT1 and sensitize cells to interferon-induced STAT1 activation with resultant enhancement of major histocompatibility complex expression. A negative effect of EBNA1 on the expression of TGFbeta1-responsive betaig-h3 and PAI-1 genes was confirmed at the protein level in EBV-infected carcinoma cells. This effect resulted from the ability of EBNA1 to repress TGFbeta1-induced transcription via a reduction in the interaction of SMAD2 with SMAD4. More detailed analysis revealed that EBNA1 induces a lower steady-state level of SMAD2 protein as a consequence of increased protein turnover. These data show that EBNA1 can influence cellular gene transcription resulting in effects that may contribute to the development of EBV-associated tumors."}
{"STANDARD_NAME":"WOOD_EBV_EBNA1_TARGETS_DN","SYSTEMATIC_NAME":"M19460","ORGANISM":"Homo sapiens","PMID":"17486072","AUTHORS":"Wood VH,O'Neil JD,Wei W,Stewart SE,Dawson CW,Young LS","EXACT_SOURCE":"Table 1S","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in the Ad/AH cells (adenocarcinoma) engineered to stably express the Epstein-Barr virus (EBV) gene EBNA1.","DESCRIPTION_FULL":"The Epstein-Barr virus (EBV)-encoded EBNA1 protein is expressed in all virus-associated tumors where it plays an essential role in the maintenance, replication and transcription of the EBV genome. Transcriptional profiling of EBNA1-expressing carcinoma cells demonstrated that EBNA1 also influences the expression of a range of cellular genes including those involved in translation, transcription and cell signaling. Of particular interest was the ability of EBNA1 to enhance expression of STAT1 and sensitize cells to interferon-induced STAT1 activation with resultant enhancement of major histocompatibility complex expression. A negative effect of EBNA1 on the expression of TGFbeta1-responsive betaig-h3 and PAI-1 genes was confirmed at the protein level in EBV-infected carcinoma cells. This effect resulted from the ability of EBNA1 to repress TGFbeta1-induced transcription via a reduction in the interaction of SMAD2 with SMAD4. More detailed analysis revealed that EBNA1 induces a lower steady-state level of SMAD2 protein as a consequence of increased protein turnover. These data show that EBNA1 can influence cellular gene transcription resulting in effects that may contribute to the development of EBV-associated tumors."}
{"STANDARD_NAME":"MOHANKUMAR_HOXA1_TARGETS_DN","SYSTEMATIC_NAME":"M9032","ORGANISM":"Homo sapiens","PMID":"17213808","AUTHORS":"Mohankumar KM,Xu XQ,Zhu T,Kannan N,Miller LD,Liu ET,Gluckman PD,Sukumar S,Emerald BS,Lobie PE","EXACT_SOURCE":"Table 3S","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated in MCF7 cells (breast cancer) by HOXA1 [GeneID=3198].","DESCRIPTION_FULL":"Expression of homeobox A1 (HOXA1) results in oncogenic transformation of immortalized human mammary epithelial cells with aggressive tumor formation in vivo. However, the mechanisms by which HOXA1 mediates oncogenic transformation is not well defined. To identify molecules that could potentially be involved in HOXA1-mediated oncogenic transformation, microarray analysis was utilized to characterize and compare the gene expression pattern in response to forced expression or depletion of HOXA1 in human mammary carcinoma cells. Gene expression profiling identified that genes involved in the p44/42 mitogen-activated protein (MAP) kinase activation pathway (GRB2, MAP kinase kinase (MEK1) and SDFR1) or p44/42 MAP kinase-regulated genes (IER3, EPAS1, PCNA and catalase) are downstream expression targets of HOXA1. Forced expression of HOXA1 increased GRB2 and MEK1 mRNA and protein expression and increased p44/42 MAP kinase phosphorylation, activity and Elk-1-mediated transcription. Use of a MEK1 inhibitor demonstrated that increased p44/42 MAP kinase activity is required for the HOXA1-mediated increase in cell proliferation, survival, oncogenicity and oncogenic transformation. Thus, modulation of the p44/42 MAP kinase pathway is one mechanism by which HOXA1 mediates oncogenic transformation of the human mammary epithelial cell."}
{"STANDARD_NAME":"DAWSON_METHYLATED_IN_LYMPHOMA_TCL1","SYSTEMATIC_NAME":"M1238","ORGANISM":"Mus musculus","PMID":"17260020","AUTHORS":"Dawson DW,Hong JS,Shen RR,French SW,Troke JJ,Wu YZ,Chen SS,Gui D,Regelson M,Marahrens Y,Morse HC 3rd,Said J,Plass C,Teitell MA","EXACT_SOURCE":"Table 1","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes hypermethylated in at least one of the lymphoma tumors of transgenic mice overexpressing TCL1 [GeneID=8115] in germinal center B lymphocytes.","DESCRIPTION_FULL":"Most human lymphomas originate from transformed germinal center (GC) B lymphocytes. While activating mutations and translocations of MYC, BCL2 and BCL6 promote specific GC lymphoma subtypes, other genetic and epigenetic modifications that contribute to malignant progression in the GC remain poorly defined. Recently, aberrant expression of the TCL1 proto-oncogene was identified in major GC lymphoma subtypes. TCL1 transgenic mice offer unique models of both aggressive GC and marginal zone B-cell lymphomas, further supporting a role for TCL1 in B-cell transformation. Here, restriction landmark genomic scanning was employed to discover tumor-associated epigenetic alterations in malignant GC and marginal zone B-cells in TCL1 transgenic mice. Multiple genes were identified that underwent DNA hypermethylation and decreased expression in TCL1 transgenic tumors. Further, we identified a secreted isoform of EPHA7, a member of the Eph family of receptor tyrosine kinases that are able to influence tumor invasiveness, metastasis and neovascularization. EPHA7 was hypermethylated and repressed in both mouse and human GC B-cell non-Hodgkin lymphomas, with the potential to influence tumor progression and spread. These data provide the first set of hypermethylated genes with the potential to complement TCL1-mediated GC B-cell transformation and spread."}
{"STANDARD_NAME":"WANG_HCP_PROSTATE_CANCER","SYSTEMATIC_NAME":"M17044","ORGANISM":"Homo sapiens","PMID":"17486081","AUTHORS":"Wang Q,Williamson M,Bott S,Brookman-Amissah N,Freeman A,Nariculam J,Hubank MJ,Ahmed A,Masters JR","EXACT_SOURCE":"Table 1S","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with the high-CpG-density promoters (HCP) that were up-regulated in 1542-CP3TX cells (prostate cancer) compared to 1542-NPTX (normal prostate).","DESCRIPTION_FULL":"Oligoarray analysis of a matched pair of prostate cancer and normal cell lines derived from the same radical prostatectomy specimen identified 113 candidate hypomethylated genes that were overexpressed in the cancer cells and contained CpG islands. Hypomethylation of wingless-related MMTV integration site 5A (WNT5A), S100 calcium-binding protein P (S100P) and cysteine-rich protein 1(CRIP1) was confirmed in the cancer cells by bisulfite sequencing. Treatment of the corresponding normal prostate epithelial cells 1542-NPTX with the DNA methyltransferase inhibitor 5-Aza-2'-deoxycytidine (5-aza-CdR) induced higher levels of mRNA expression and partial loss of methylation on these genes. Primary prostate cancers were tested using methylation-specific polymerase chain reaction. WNT5A was hypomethylated in 11/17 (65%) tumors, S100P in 8/16 (50%) and CRIP1 in 13/20 (65%). Bisulfite sequencing of a section of the 5' untranslated region (UTR) of WNT5A revealed that three CpG sites (15, 24 and 35) were consistently methylated (93%) in the normal cell line and normal tissues, but not in the prostate cancer cell line and eight primary prostate cancers. Multiple putative binding sites for the transcription factors SP1 and AP-2 were found adjacent to CpG sites 15 and 24. A putative c-Myb binding site was located within the CpG site 35. Anti-c-Myb antibody co-precipitation with WNT5A was methylation-sensitive in 1542-NPTX cells. It is likely that an epigenetic mechanism regulates WNT5A expression in prostate cancer."}
{"STANDARD_NAME":"JOHANSSON_BRAIN_CANCER_EARLY_VS_LATE_DN","SYSTEMATIC_NAME":"M1240","ORGANISM":"Mus musculus","PMID":"15750623","AUTHORS":"Johansson FK,Göransson H,Westermark B","EXACT_SOURCE":"Table 1","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in early vs late brain tumors induced by retroviral delivery of PDGFB [GeneID=5155].","DESCRIPTION_FULL":"Retroviral tagging previously identified putative cancer-causing genes in a mouse brain tumor model where a recombinant Moloney murine leukemia virus encoding the platelet-derived growth factor B-chain (MMLV/PDGFB) was intracerebrally injected in newborn mice. In the present study, expression analysis using cDNA arrays revealed several similarities of virus-induced mouse gliomas with human brain tumors. Brain tumors with short latency contained on average 8.0 retroviral insertions and resembled human glioblastoma multiforme (GBM) whereas long-latency gliomas were of lower grade, similar to human oligodendroglioma (OD) and had 2.3 insertions per tumor. Several known and novel genes of tumor progression or cell markers were differentially expressed between OD- and GBM-like tumors. Array and quantitative real-time PCR analysis demonstrated elevated expression similar to Pdgfralpha of retrovirally tagged genes Abhd2, Ddr1, Fos, Ng2, Ppfibp1, Rad51b and Sulf2 in both glioma types compared to neonatal and adult normal brain. The retrovirally tagged genes Plekhb1, Prex1, Prkg2, Sox10 and 1200004M23Rik were upregulated in the tumors but had a different expression profile than Pdgfralpha whereas Rap1gap, Gli1, Neurl and Camk2b were downregulated in the tumors. The present study accentuates the proposed role of the retrovirally tagged genes in PDGF-driven gliomagenesis and indicates that insertional mutagenesis can promote glioma progression."}
{"STANDARD_NAME":"WIEMANN_TELOMERE_SHORTENING_AND_CHRONIC_LIVER_DAMAGE_UP","SYSTEMATIC_NAME":"M1243","ORGANISM":"Mus musculus","PMID":"15608677","AUTHORS":"Wiemann SU,Satyanarayana A,Buer J,Kamino K,Manns MP,Rudolph KL","EXACT_SOURCE":"Table 1","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated by telomere shortening due to the knockout of TERC [GeneID=7012] in the presence of chronic liver damage.","DESCRIPTION_FULL":"Telomere shortening limits the regenerative capacity of cells during aging and chronic disease but at the same time inhibits tumor progression, and it has yet to be determined which of these mechanisms is dominantly affecting organismal survival. Here we show that telomere shortening in telomerase knockout (mTERC-/-) mice in combination with chronic liver damage significantly reduced organismal survival even though telomere shortening strongly inhibited liver tumor formation. Decreased survival induced by telomere shortening correlated with an imbalance between liver cell proliferation and liver cell apoptosis. Specific changes in gene expression were associated with telomere shortening and chronic liver damage and these gene expression changes were partially reversed by adenovirus mediated telomerase gene delivery. This study gives experimental evidence that the negative impact of telomere shortening on organ homeostasis and organismal survival can surpass the beneficial effects of telomere shortening on suppression of tumor growth in the setting of chronic organ damage."}
{"STANDARD_NAME":"MAINA_VHL_TARGETS_UP","SYSTEMATIC_NAME":"M12942","ORGANISM":"Homo sapiens","PMID":"15824735","AUTHORS":"Maina EN,Morris MR,Zatyka M,Raval RR,Banks RE,Richards FM,Johnson CM,Maher ER","EXACT_SOURCE":"Table 2: Microarray fold change > 0","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in RCC4 cells (renal cell carcinoma) engineered to stably express VHL [GeneID=7428] off a plasmid vector.","DESCRIPTION_FULL":"Upregulation of hypoxia-inducible factors HIF-1 and HIF-2 is frequent in human cancers and may result from tissue hypoxia or genetic mechanisms, in particular the inactivation of the von Hippel-Lindau (VHL) tumour suppressor gene (TSG). Tumours with VHL inactivation are highly vascular, but it is unclear to what extent HIF-dependent and HIF-independent mechanisms account for pVHL tumour suppressor activity. As the identification of novel pVHL targets might provide insights into pVHL tumour suppressor activity, we performed gene expression microarray analysis in VHL-wild-type and VHL-null renal cell carcinoma (RCC) cell lines. We identified 30 differentially regulated pVHL targets (26 of which were 'novel') and the results of microarray analysis were confirmed in all 11 novel targets further analysed by real-time RT-PCR or Western blotting. Furthermore, nine of 11 targets were dysregulated in the majority of a series of primary clear cell RCC with VHL inactivation. Three of the nine targets had been identified previously as candidate TSGs (DOC-2/DAB2, CDKN1C and SPARC) and all were upregulated by wild-type pVHL. The significance for pVHL function of two further genes upregulated by wild-type pVHL was initially unclear, but re-expression of GNG4 (G protein gamma-4 subunit/guanine nucleotide-binding protein-4) and MLC2 (myosin light chain) in a RCC cell line suppressed tumour cell growth. pVHL regulation of CDKN1C, SPARC and GNG4 was not mimicked by hypoxia, whereas for six of 11 novel targets analysed (including DOC-2/DAB2 and MLC2) the effects of pVHL inactivation and hypoxia were similar. For GPR56 there was evidence of a tissue-specific hypoxia response. Such a phenomenon might, in part, explain organ-specific tumorigenesis in VHL disease. These provide insights into mechanisms of pVHL tumour suppressor function and identify novel hypoxia-responsive targets that might be implicated in tumorigenesis in both VHL disease and in other cancers with HIF upregulation."}
{"STANDARD_NAME":"JAZAG_TGFB1_SIGNALING_UP","SYSTEMATIC_NAME":"M7160","ORGANISM":"Homo sapiens","PMID":"15592526","AUTHORS":"Jazag A,Ijichi H,Kanai F,Imamura T,Guleng B,Ohta M,Imamura J,Tanaka Y,Tateishi K,Ikenoue T,Kawakami T,Arakawa Y,Miyagishi M,Taira K,Kawabe T,Omata M","EXACT_SOURCE":"Table 3aS: Fold change >= 2","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in PANC-1-puro cells (pancreatic cancer) stimulated by TGF1B [GeneID=7040] for 2 h.","DESCRIPTION_FULL":"The transforming growth factor-beta (TGF-beta)-Smad signaling pathway inhibits the growth of human epithelial cells and plays a role in tumor suppression. The Smad4 gene is mutated or deleted in 50% of pancreatic cancers. In this study, we succeeded in establishing Smad4 knockdown (S4KD) pancreatic cancer cell lines using the stable RNA interference (RNAi) method. Smad4 protein expression was reduced dramatically and TGF-beta-Smad signaling was markedly inhibited in the S4KD cell lines. The S4KD and control cells were stimulated with TGF-beta and analysed using a cDNA microarray that contained 3756 genes, in order to screen for target molecules downstream of TGF-beta. The microarray analysis revealed that 187 S4KD genes and 155 genes in the control cells were regulated immediately upon TGF-beta stimulation. Quantitative RT-PCR analysis on several of these genes produced results that corroborated the outcome of the microarray analysis. Most of the genes in the S4KD and control cells identified by the array differed, which suggests signaling pathways that differ according to Smad4 status. Of the identified genes, 246 have not been reported previously as genes that lie downstream of TGF-beta. Genes that are involved in cell proliferation, adhesion, and motility were found to be regulated differentially with respect to S4KD and control cells. Cell migration induced by TGF-beta was inhibited in the S4KD cells, which might be associated with a different regulation of integrin beta7. The knock down of a specific gene using stable RNAi appears to be a promising tool for analysing endogenous gene function."}
{"STANDARD_NAME":"JAZAG_TGFB1_SIGNALING_DN","SYSTEMATIC_NAME":"M12455","ORGANISM":"Homo sapiens","PMID":"15592526","AUTHORS":"Jazag A,Ijichi H,Kanai F,Imamura T,Guleng B,Ohta M,Imamura J,Tanaka Y,Tateishi K,Ikenoue T,Kawakami T,Arakawa Y,Miyagishi M,Taira K,Kawabe T,Omata M","EXACT_SOURCE":"Table 3aS: Fold change <= 0.5","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in PANC-1-puro cells (pancreatic cancer) stimulated by TGF1B [GeneID=7040] for 2 h.","DESCRIPTION_FULL":"The transforming growth factor-beta (TGF-beta)-Smad signaling pathway inhibits the growth of human epithelial cells and plays a role in tumor suppression. The Smad4 gene is mutated or deleted in 50% of pancreatic cancers. In this study, we succeeded in establishing Smad4 knockdown (S4KD) pancreatic cancer cell lines using the stable RNA interference (RNAi) method. Smad4 protein expression was reduced dramatically and TGF-beta-Smad signaling was markedly inhibited in the S4KD cell lines. The S4KD and control cells were stimulated with TGF-beta and analysed using a cDNA microarray that contained 3756 genes, in order to screen for target molecules downstream of TGF-beta. The microarray analysis revealed that 187 S4KD genes and 155 genes in the control cells were regulated immediately upon TGF-beta stimulation. Quantitative RT-PCR analysis on several of these genes produced results that corroborated the outcome of the microarray analysis. Most of the genes in the S4KD and control cells identified by the array differed, which suggests signaling pathways that differ according to Smad4 status. Of the identified genes, 246 have not been reported previously as genes that lie downstream of TGF-beta. Genes that are involved in cell proliferation, adhesion, and motility were found to be regulated differentially with respect to S4KD and control cells. Cell migration induced by TGF-beta was inhibited in the S4KD cells, which might be associated with a different regulation of integrin beta7. The knock down of a specific gene using stable RNAi appears to be a promising tool for analysing endogenous gene function."}
{"STANDARD_NAME":"JAZAG_TGFB1_SIGNALING_VIA_SMAD4_UP","SYSTEMATIC_NAME":"M13424","ORGANISM":"Homo sapiens","PMID":"15592526","AUTHORS":"Jazag A,Ijichi H,Kanai F,Imamura T,Guleng B,Ohta M,Imamura J,Tanaka Y,Tateishi K,Ikenoue T,Kawakami T,Arakawa Y,Miyagishi M,Taira K,Kawabe T,Omata M","EXACT_SOURCE":"Table 3bS: Fold change >= 2","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in PANC-1-S4KD cells (pancreatic cancer; SMAD4 [GeneID=4089] knocked down by RNAi) after stimulation by TGF1B [GeneID=7040] for 2 h.","DESCRIPTION_FULL":"The transforming growth factor-beta (TGF-beta)-Smad signaling pathway inhibits the growth of human epithelial cells and plays a role in tumor suppression. The Smad4 gene is mutated or deleted in 50% of pancreatic cancers. In this study, we succeeded in establishing Smad4 knockdown (S4KD) pancreatic cancer cell lines using the stable RNA interference (RNAi) method. Smad4 protein expression was reduced dramatically and TGF-beta-Smad signaling was markedly inhibited in the S4KD cell lines. The S4KD and control cells were stimulated with TGF-beta and analysed using a cDNA microarray that contained 3756 genes, in order to screen for target molecules downstream of TGF-beta. The microarray analysis revealed that 187 S4KD genes and 155 genes in the control cells were regulated immediately upon TGF-beta stimulation. Quantitative RT-PCR analysis on several of these genes produced results that corroborated the outcome of the microarray analysis. Most of the genes in the S4KD and control cells identified by the array differed, which suggests signaling pathways that differ according to Smad4 status. Of the identified genes, 246 have not been reported previously as genes that lie downstream of TGF-beta. Genes that are involved in cell proliferation, adhesion, and motility were found to be regulated differentially with respect to S4KD and control cells. Cell migration induced by TGF-beta was inhibited in the S4KD cells, which might be associated with a different regulation of integrin beta7. The knock down of a specific gene using stable RNAi appears to be a promising tool for analysing endogenous gene function."}
{"STANDARD_NAME":"JAZAG_TGFB1_SIGNALING_VIA_SMAD4_DN","SYSTEMATIC_NAME":"M18705","ORGANISM":"Homo sapiens","PMID":"15592526","AUTHORS":"Jazag A,Ijichi H,Kanai F,Imamura T,Guleng B,Ohta M,Imamura J,Tanaka Y,Tateishi K,Ikenoue T,Kawakami T,Arakawa Y,Miyagishi M,Taira K,Kawabe T,Omata M","EXACT_SOURCE":"Table 3bS: Fold change <= 0.5","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in PANC-1-S4KD cells (pancreatic cancer; SMAD4 [GeneID=4089] knocked down by RNAi) after stimulation by TGF1B [GeneID=7040] for 2 h.","DESCRIPTION_FULL":"The transforming growth factor-beta (TGF-beta)-Smad signaling pathway inhibits the growth of human epithelial cells and plays a role in tumor suppression. The Smad4 gene is mutated or deleted in 50% of pancreatic cancers. In this study, we succeeded in establishing Smad4 knockdown (S4KD) pancreatic cancer cell lines using the stable RNA interference (RNAi) method. Smad4 protein expression was reduced dramatically and TGF-beta-Smad signaling was markedly inhibited in the S4KD cell lines. The S4KD and control cells were stimulated with TGF-beta and analysed using a cDNA microarray that contained 3756 genes, in order to screen for target molecules downstream of TGF-beta. The microarray analysis revealed that 187 S4KD genes and 155 genes in the control cells were regulated immediately upon TGF-beta stimulation. Quantitative RT-PCR analysis on several of these genes produced results that corroborated the outcome of the microarray analysis. Most of the genes in the S4KD and control cells identified by the array differed, which suggests signaling pathways that differ according to Smad4 status. Of the identified genes, 246 have not been reported previously as genes that lie downstream of TGF-beta. Genes that are involved in cell proliferation, adhesion, and motility were found to be regulated differentially with respect to S4KD and control cells. Cell migration induced by TGF-beta was inhibited in the S4KD cells, which might be associated with a different regulation of integrin beta7. The knock down of a specific gene using stable RNAi appears to be a promising tool for analysing endogenous gene function."}
{"STANDARD_NAME":"SIMBULAN_UV_RESPONSE_NORMAL_DN","SYSTEMATIC_NAME":"M16114","ORGANISM":"Homo sapiens","PMID":"16007217","AUTHORS":"Simbulan-Rosenthal CM,Trabosh V,Velarde A,Chou FP,Daher A,Tenzin F,Tokino T,Rosenthal DS","EXACT_SOURCE":"Table 1: Primary HFK: Fold delta < 0","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in HFK cells (primary keratinocytes) in response to UVB irradiation.","DESCRIPTION_FULL":"Solar ultraviolet B (UVB) acts as both an initiator and promoter in models of multistage skin carcinogenesis. We found that, whereas UVB induces apoptosis in human papillomavirus-16 E6/7-immortalized keratinocytes, it inhibits markers of differentiation in human foreskin keratinocytes (HFK). Potential mechanisms for this differential response were examined by DNA microarray, which revealed that UVB alters the expression of three of the four human inhibitor of differentiation/DNA binding (Id) proteins that comprise a class of helix-loop-helix family of transcription factors involved in proliferation, differentiation, apoptosis, and carcinogenesis. These results were verified by RT-PCR and immunoblot analysis of control and UVB-irradiated primary and immortalized keratinocytes. Whereas Id1 was downregulated in both cell types, Id2 expression was upregulated in primary HFK, but not immortalized cells. In contrast, Id3 expression was significantly increased only in immortalized cells. The differential expression pattern of Id2 in response to UVB was recapitulated in reporter constructs containing the 5' regulatory regions of this gene. Id2 promoter activity increased in response to UVB in HFK, but not in immortalized cells. To identify the regulatory elements in the Id2 promoter that mediate transcriptional activation by UVB in HFK, promoter deletion/mutation analysis was performed. Deletion analysis revealed that transactivation involves a 166 bp region immediately upstream to the Id2 transcriptional start site and is independent of c-Myc. The consensus E twenty-six (ETS) binding site at -120 appears to mediate UVB transcriptional activation of Id2 because point mutations at this site completely abrogated this response. Chromatin immunoprecipitation and electrophoretic mobility-shift assays verified that the Id2 promoter interacts with known Id2 promoter (ETS) binding factors Erg1/2 and Fli1, but not with c-Myc; and this interaction is enhanced after UVB exposure. Similar to the effects of UVB exposure, ectopic expression of Id2 protein in primary HFK resulted in inhibition of differentiation, as shown by decreased levels of the terminal differentiation marker keratin K1 and inhibition of involucrin crosslinking. Reduction of Id2 expression by small interfering RNAs attenuated the UVB-induced inhibition of differentiation in these cells. These results suggest that UVB-induced inhibition of differentiation of primary HFK is at least, in part, due to the upregulation of Id2, and that upregulation of Id2 by UVB might predispose keratinocytes to carcinogenesis by preventing their normal differentiation program."}
{"STANDARD_NAME":"SIMBULAN_UV_RESPONSE_IMMORTALIZED_DN","SYSTEMATIC_NAME":"M3732","ORGANISM":"Homo sapiens","PMID":"16007217","AUTHORS":"Simbulan-Rosenthal CM,Trabosh V,Velarde A,Chou FP,Daher A,Tenzin F,Tokino T,Rosenthal DS","EXACT_SOURCE":"Table 1: E6/E7-immortalized HFK: Fold delta < 0","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in response to UVB radiation in HFK cells (keratinocytes) immortalized by overexpression of HPV E6 and E7 viral oncogenes.","DESCRIPTION_FULL":"Solar ultraviolet B (UVB) acts as both an initiator and promoter in models of multistage skin carcinogenesis. We found that, whereas UVB induces apoptosis in human papillomavirus-16 E6/7-immortalized keratinocytes, it inhibits markers of differentiation in human foreskin keratinocytes (HFK). Potential mechanisms for this differential response were examined by DNA microarray, which revealed that UVB alters the expression of three of the four human inhibitor of differentiation/DNA binding (Id) proteins that comprise a class of helix-loop-helix family of transcription factors involved in proliferation, differentiation, apoptosis, and carcinogenesis. These results were verified by RT-PCR and immunoblot analysis of control and UVB-irradiated primary and immortalized keratinocytes. Whereas Id1 was downregulated in both cell types, Id2 expression was upregulated in primary HFK, but not immortalized cells. In contrast, Id3 expression was significantly increased only in immortalized cells. The differential expression pattern of Id2 in response to UVB was recapitulated in reporter constructs containing the 5' regulatory regions of this gene. Id2 promoter activity increased in response to UVB in HFK, but not in immortalized cells. To identify the regulatory elements in the Id2 promoter that mediate transcriptional activation by UVB in HFK, promoter deletion/mutation analysis was performed. Deletion analysis revealed that transactivation involves a 166 bp region immediately upstream to the Id2 transcriptional start site and is independent of c-Myc. The consensus E twenty-six (ETS) binding site at -120 appears to mediate UVB transcriptional activation of Id2 because point mutations at this site completely abrogated this response. Chromatin immunoprecipitation and electrophoretic mobility-shift assays verified that the Id2 promoter interacts with known Id2 promoter (ETS) binding factors Erg1/2 and Fli1, but not with c-Myc; and this interaction is enhanced after UVB exposure. Similar to the effects of UVB exposure, ectopic expression of Id2 protein in primary HFK resulted in inhibition of differentiation, as shown by decreased levels of the terminal differentiation marker keratin K1 and inhibition of involucrin crosslinking. Reduction of Id2 expression by small interfering RNAs attenuated the UVB-induced inhibition of differentiation in these cells. These results suggest that UVB-induced inhibition of differentiation of primary HFK is at least, in part, due to the upregulation of Id2, and that upregulation of Id2 by UVB might predispose keratinocytes to carcinogenesis by preventing their normal differentiation program."}
{"STANDARD_NAME":"CEBALLOS_TARGETS_OF_TP53_AND_MYC_UP","SYSTEMATIC_NAME":"M1247","ORGANISM":"Homo sapiens","PMID":"15856024","AUTHORS":"Ceballos E,Muñoz-Alonso MJ,Berwanger B,Acosta JC,Hernández R,Krause M,Hartmann O,Eilers M,León J","EXACT_SOURCE":"Table 3","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in K562 cells (chronic myelogenous leukemia, CML) expressing TP53 and MYC [GeneID=7157;4609].","DESCRIPTION_FULL":"We have previously demonstrated that c-Myc impairs p53-mediated apoptosis in K562 human leukemia cells, which lack ARF. To investigate the mechanisms by which c-Myc protects from p53-mediated apoptosis, we used K562 cells that conditionally express c-Myc and harbor a temperature-sensitive allele of p53. Gene expression profiles of cells expressing wild-type conformation p53 in the presence of either uninduced or induced c-Myc were analysed by cDNA microarrays. The results show that multiple p53 target genes are downregulated when c-Myc is present, including p21WAF1, MDM2, PERP, NOXA, GADD45, DDB2, PIR121 and p53R2. Also, a number of genes that are upregulated by c-Myc in cells expressing wild-type conformation p53 encode chaperones related to cell death protection as HSP105, HSP90 and HSP27. Both downregulation of p53 target genes and upregulation of chaperones could explain the inhibition of apoptosis observed in K562 cells with ectopic c-Myc. Myc-mediated impairment of p53 transactivation was not restricted to K562 cells, but it was reproduced in a panel of human cancer cell lines derived from different tissues. Our data suggest that elevated levels of Myc counteract p53 activity in human tumor cells that lack ARF. This mechanism could contribute to explain the c-Myc deregulation frequently found in cancer."}
{"STANDARD_NAME":"INAMURA_LUNG_CANCER_SCC_UP","SYSTEMATIC_NAME":"M1253","ORGANISM":"Homo sapiens","PMID":"16007138","AUTHORS":"Inamura K,Fujiwara T,Hoshida Y,Isagawa T,Jones MH,Virtanen C,Shimane M,Satoh Y,Okumura S,Nakagawa K,Tsuchiya E,Ishikawa S,Aburatani H,Nomura H,Ishikawa Y","EXACT_SOURCE":"Table 1: Up in SCC","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Up-regulated genes characteristic to the squamous cell carcinoma (SCC) type of non-small cell lung cancer (NSCLC).","DESCRIPTION_FULL":"Current clinical and histopathological criteria used to define lung squamous cell carcinomas (SCCs) are insufficient to predict clinical outcome. To make a clinically useful classification by gene expression profiling, we used a 40 386 element cDNA microarray to analyse 48 SCC, nine adenocarcinoma, and 30 normal lung samples. Initial analysis by hierarchical clustering (HC) allowed division of SCCs into two distinct subclasses. An additional independent round of HC induced a similar partition and consensus clustering with the non-negative matrix factorization approach indicated the robustness of this classification. Kaplan-Meier analysis with the log-rank test pointed to a nonsignificant difference in survival (P = 0.071), but the likelihood of survival to 6 years was significantly different between the two groups (40.5 vs 81.8%, P = 0.014, Z-test). Biological process categories characteristic for each subclass were identified statistically and upregulation of cell-proliferation-related genes was evident in the subclass with poor prognosis. In the subclass with better survival, genes involved in differentiated intracellular functions, such as the MAPKKK cascade, ceramide metabolism, or regulation of transcription, were upregulated. This work represents an important step toward the identification of clinically useful classification for lung SCC."}
{"STANDARD_NAME":"INAMURA_LUNG_CANCER_SCC_DN","SYSTEMATIC_NAME":"M1255","ORGANISM":"Homo sapiens","PMID":"16007138","AUTHORS":"Inamura K,Fujiwara T,Hoshida Y,Isagawa T,Jones MH,Virtanen C,Shimane M,Satoh Y,Okumura S,Nakagawa K,Tsuchiya E,Ishikawa S,Aburatani H,Nomura H,Ishikawa Y","EXACT_SOURCE":"Table 1: Down in SCC","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated genes characteristic to the squamous cell carcinoma (SCC) type of non-small cell lung cancer (NSCLC).","DESCRIPTION_FULL":"Current clinical and histopathological criteria used to define lung squamous cell carcinomas (SCCs) are insufficient to predict clinical outcome. To make a clinically useful classification by gene expression profiling, we used a 40 386 element cDNA microarray to analyse 48 SCC, nine adenocarcinoma, and 30 normal lung samples. Initial analysis by hierarchical clustering (HC) allowed division of SCCs into two distinct subclasses. An additional independent round of HC induced a similar partition and consensus clustering with the non-negative matrix factorization approach indicated the robustness of this classification. Kaplan-Meier analysis with the log-rank test pointed to a nonsignificant difference in survival (P = 0.071), but the likelihood of survival to 6 years was significantly different between the two groups (40.5 vs 81.8%, P = 0.014, Z-test). Biological process categories characteristic for each subclass were identified statistically and upregulation of cell-proliferation-related genes was evident in the subclass with poor prognosis. In the subclass with better survival, genes involved in differentiated intracellular functions, such as the MAPKKK cascade, ceramide metabolism, or regulation of transcription, were upregulated. This work represents an important step toward the identification of clinically useful classification for lung SCC."}
{"STANDARD_NAME":"INAMURA_LUNG_CANCER_SCC_SUBTYPES_UP","SYSTEMATIC_NAME":"M1256","ORGANISM":"Homo sapiens","PMID":"16007138","AUTHORS":"Inamura K,Fujiwara T,Hoshida Y,Isagawa T,Jones MH,Virtanen C,Shimane M,Satoh Y,Okumura S,Nakagawa K,Tsuchiya E,Ishikawa S,Aburatani H,Nomura H,Ishikawa Y","EXACT_SOURCE":"Table 3: up in SCC-A","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Up-regulated genes discriminating between two subtypes of squamous cell carcinoma (SCC) type of non-small cell lung cancer: SSC-A vs SSC-B.","DESCRIPTION_FULL":"Current clinical and histopathological criteria used to define lung squamous cell carcinomas (SCCs) are insufficient to predict clinical outcome. To make a clinically useful classification by gene expression profiling, we used a 40 386 element cDNA microarray to analyse 48 SCC, nine adenocarcinoma, and 30 normal lung samples. Initial analysis by hierarchical clustering (HC) allowed division of SCCs into two distinct subclasses. An additional independent round of HC induced a similar partition and consensus clustering with the non-negative matrix factorization approach indicated the robustness of this classification. Kaplan-Meier analysis with the log-rank test pointed to a nonsignificant difference in survival (P = 0.071), but the likelihood of survival to 6 years was significantly different between the two groups (40.5 vs 81.8%, P = 0.014, Z-test). Biological process categories characteristic for each subclass were identified statistically and upregulation of cell-proliferation-related genes was evident in the subclass with poor prognosis. In the subclass with better survival, genes involved in differentiated intracellular functions, such as the MAPKKK cascade, ceramide metabolism, or regulation of transcription, were upregulated. This work represents an important step toward the identification of clinically useful classification for lung SCC."}
{"STANDARD_NAME":"KIM_MYC_AMPLIFICATION_TARGETS_UP","SYSTEMATIC_NAME":"M8445","ORGANISM":"Homo sapiens","PMID":"16116477","AUTHORS":"Kim YH,Girard L,Giacomini CP,Wang P,Hernandez-Boussard T,Tibshirani R,Minna JD,Pollack JR","EXACT_SOURCE":"Table 3S: positively correlated with MYC","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes positively correlated with amplifications of MYC [GeneID=4609] in SCLC (small cell lung cancer) cell lines.","DESCRIPTION_FULL":"DNA amplifications and deletions frequently contribute to the development and progression of lung cancer. To identify such novel alterations in small cell lung cancer (SCLC), we performed comparative genomic hybridization on a set of 24 SCLC cell lines, using cDNA microarrays representing approximately 22,000 human genes (providing an average mapping resolution of <70 kb). We identified localized DNA amplifications corresponding to oncogenes known to be amplified in SCLC, including MYC (8q24), MYCN (2p24) and MYCL1 (1p34). Additional highly localized DNA amplifications suggested candidate oncogenes not previously identified as amplified in SCLC, including the antiapoptotic genes TNFRSF4 (1p36), DAD1 (14q11), BCL2L1 (20q11) and BCL2L2 (14q11). Likewise, newly discovered PCR-validated homozygous deletions suggested candidate tumor-suppressor genes, including the proapoptotic genes MAPK10 (4q21) and TNFRSF6 (10q23). To characterize the effect of DNA amplification on gene expression patterns, we performed expression profiling using the same microarray platform. Among our findings, we identified sets of genes whose expression correlated with MYC, MYCN or MYCL1 amplification, with surprisingly little overlap among gene sets. While both MYC and MYCN amplification were associated with increased and decreased expression of known MYC upregulated and downregulated targets, respectively, MYCL1 amplification was associated only with the latter. Our findings support a role of altered apoptotic balance in the pathogenesis of SCLC, and suggest that MYC family genes might affect oncogenesis through distinct sets of targets, in particular implicating the importance of transcriptional repression."}
{"STANDARD_NAME":"KIM_MYC_AMPLIFICATION_TARGETS_DN","SYSTEMATIC_NAME":"M6319","ORGANISM":"Homo sapiens","PMID":"16116477","AUTHORS":"Kim YH,Girard L,Giacomini CP,Wang P,Hernandez-Boussard T,Tibshirani R,Minna JD,Pollack JR","EXACT_SOURCE":"Table 3S: negatively correlated with MYC","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes negatively correlated with amplifications of MYC [GeneID=4609] in SCLC (small cell lung cancer) cell lines.","DESCRIPTION_FULL":"DNA amplifications and deletions frequently contribute to the development and progression of lung cancer. To identify such novel alterations in small cell lung cancer (SCLC), we performed comparative genomic hybridization on a set of 24 SCLC cell lines, using cDNA microarrays representing approximately 22,000 human genes (providing an average mapping resolution of <70 kb). We identified localized DNA amplifications corresponding to oncogenes known to be amplified in SCLC, including MYC (8q24), MYCN (2p24) and MYCL1 (1p34). Additional highly localized DNA amplifications suggested candidate oncogenes not previously identified as amplified in SCLC, including the antiapoptotic genes TNFRSF4 (1p36), DAD1 (14q11), BCL2L1 (20q11) and BCL2L2 (14q11). Likewise, newly discovered PCR-validated homozygous deletions suggested candidate tumor-suppressor genes, including the proapoptotic genes MAPK10 (4q21) and TNFRSF6 (10q23). To characterize the effect of DNA amplification on gene expression patterns, we performed expression profiling using the same microarray platform. Among our findings, we identified sets of genes whose expression correlated with MYC, MYCN or MYCL1 amplification, with surprisingly little overlap among gene sets. While both MYC and MYCN amplification were associated with increased and decreased expression of known MYC upregulated and downregulated targets, respectively, MYCL1 amplification was associated only with the latter. Our findings support a role of altered apoptotic balance in the pathogenesis of SCLC, and suggest that MYC family genes might affect oncogenesis through distinct sets of targets, in particular implicating the importance of transcriptional repression."}
{"STANDARD_NAME":"KIM_MYCN_AMPLIFICATION_TARGETS_UP","SYSTEMATIC_NAME":"M18532","ORGANISM":"Homo sapiens","PMID":"16116477","AUTHORS":"Kim YH,Girard L,Giacomini CP,Wang P,Hernandez-Boussard T,Tibshirani R,Minna JD,Pollack JR","EXACT_SOURCE":"Table 3S: positively correlated with MYCN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes positively correlated with amplifications of MYCN [GeneID=4613] in the SCLC (small cell lung cancer) cell lines.","DESCRIPTION_FULL":"DNA amplifications and deletions frequently contribute to the development and progression of lung cancer. To identify such novel alterations in small cell lung cancer (SCLC), we performed comparative genomic hybridization on a set of 24 SCLC cell lines, using cDNA microarrays representing approximately 22,000 human genes (providing an average mapping resolution of <70 kb). We identified localized DNA amplifications corresponding to oncogenes known to be amplified in SCLC, including MYC (8q24), MYCN (2p24) and MYCL1 (1p34). Additional highly localized DNA amplifications suggested candidate oncogenes not previously identified as amplified in SCLC, including the antiapoptotic genes TNFRSF4 (1p36), DAD1 (14q11), BCL2L1 (20q11) and BCL2L2 (14q11). Likewise, newly discovered PCR-validated homozygous deletions suggested candidate tumor-suppressor genes, including the proapoptotic genes MAPK10 (4q21) and TNFRSF6 (10q23). To characterize the effect of DNA amplification on gene expression patterns, we performed expression profiling using the same microarray platform. Among our findings, we identified sets of genes whose expression correlated with MYC, MYCN or MYCL1 amplification, with surprisingly little overlap among gene sets. While both MYC and MYCN amplification were associated with increased and decreased expression of known MYC upregulated and downregulated targets, respectively, MYCL1 amplification was associated only with the latter. Our findings support a role of altered apoptotic balance in the pathogenesis of SCLC, and suggest that MYC family genes might affect oncogenesis through distinct sets of targets, in particular implicating the importance of transcriptional repression."}
{"STANDARD_NAME":"KIM_MYCN_AMPLIFICATION_TARGETS_DN","SYSTEMATIC_NAME":"M2919","ORGANISM":"Homo sapiens","PMID":"16116477","AUTHORS":"Kim YH,Girard L,Giacomini CP,Wang P,Hernandez-Boussard T,Tibshirani R,Minna JD,Pollack JR","EXACT_SOURCE":"Table 3S: negatively correlated with MYCN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes negatively correlated with amplifications of MYCN [GeneID=4613] in the SCLC (small cell lung cancer) cell lines.","DESCRIPTION_FULL":"DNA amplifications and deletions frequently contribute to the development and progression of lung cancer. To identify such novel alterations in small cell lung cancer (SCLC), we performed comparative genomic hybridization on a set of 24 SCLC cell lines, using cDNA microarrays representing approximately 22,000 human genes (providing an average mapping resolution of <70 kb). We identified localized DNA amplifications corresponding to oncogenes known to be amplified in SCLC, including MYC (8q24), MYCN (2p24) and MYCL1 (1p34). Additional highly localized DNA amplifications suggested candidate oncogenes not previously identified as amplified in SCLC, including the antiapoptotic genes TNFRSF4 (1p36), DAD1 (14q11), BCL2L1 (20q11) and BCL2L2 (14q11). Likewise, newly discovered PCR-validated homozygous deletions suggested candidate tumor-suppressor genes, including the proapoptotic genes MAPK10 (4q21) and TNFRSF6 (10q23). To characterize the effect of DNA amplification on gene expression patterns, we performed expression profiling using the same microarray platform. Among our findings, we identified sets of genes whose expression correlated with MYC, MYCN or MYCL1 amplification, with surprisingly little overlap among gene sets. While both MYC and MYCN amplification were associated with increased and decreased expression of known MYC upregulated and downregulated targets, respectively, MYCL1 amplification was associated only with the latter. Our findings support a role of altered apoptotic balance in the pathogenesis of SCLC, and suggest that MYC family genes might affect oncogenesis through distinct sets of targets, in particular implicating the importance of transcriptional repression."}
{"STANDARD_NAME":"KIM_MYCL1_AMPLIFICATION_TARGETS_UP","SYSTEMATIC_NAME":"M5329","ORGANISM":"Homo sapiens","PMID":"16116477","AUTHORS":"Kim YH,Girard L,Giacomini CP,Wang P,Hernandez-Boussard T,Tibshirani R,Minna JD,Pollack JR","EXACT_SOURCE":"Table 3S: positively correlated with MYCL1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes positively correlated with amplifications of MYCL1 [GeneID=4610] in SCLC (small cell lung cancer) cell lines.","DESCRIPTION_FULL":"DNA amplifications and deletions frequently contribute to the development and progression of lung cancer. To identify such novel alterations in small cell lung cancer (SCLC), we performed comparative genomic hybridization on a set of 24 SCLC cell lines, using cDNA microarrays representing approximately 22,000 human genes (providing an average mapping resolution of <70 kb). We identified localized DNA amplifications corresponding to oncogenes known to be amplified in SCLC, including MYC (8q24), MYCN (2p24) and MYCL1 (1p34). Additional highly localized DNA amplifications suggested candidate oncogenes not previously identified as amplified in SCLC, including the antiapoptotic genes TNFRSF4 (1p36), DAD1 (14q11), BCL2L1 (20q11) and BCL2L2 (14q11). Likewise, newly discovered PCR-validated homozygous deletions suggested candidate tumor-suppressor genes, including the proapoptotic genes MAPK10 (4q21) and TNFRSF6 (10q23). To characterize the effect of DNA amplification on gene expression patterns, we performed expression profiling using the same microarray platform. Among our findings, we identified sets of genes whose expression correlated with MYC, MYCN or MYCL1 amplification, with surprisingly little overlap among gene sets. While both MYC and MYCN amplification were associated with increased and decreased expression of known MYC upregulated and downregulated targets, respectively, MYCL1 amplification was associated only with the latter. Our findings support a role of altered apoptotic balance in the pathogenesis of SCLC, and suggest that MYC family genes might affect oncogenesis through distinct sets of targets, in particular implicating the importance of transcriptional repression."}
{"STANDARD_NAME":"KIM_MYCL1_AMPLIFICATION_TARGETS_DN","SYSTEMATIC_NAME":"M5624","ORGANISM":"Homo sapiens","PMID":"16116477","AUTHORS":"Kim YH,Girard L,Giacomini CP,Wang P,Hernandez-Boussard T,Tibshirani R,Minna JD,Pollack JR","EXACT_SOURCE":"Table 3S: negatively correlated with MYCL1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes negatively correlated with amplifications of MYCL1 [GeneID=4610] in SCLC (small cell lung cancer) cell lines.","DESCRIPTION_FULL":"DNA amplifications and deletions frequently contribute to the development and progression of lung cancer. To identify such novel alterations in small cell lung cancer (SCLC), we performed comparative genomic hybridization on a set of 24 SCLC cell lines, using cDNA microarrays representing approximately 22,000 human genes (providing an average mapping resolution of <70 kb). We identified localized DNA amplifications corresponding to oncogenes known to be amplified in SCLC, including MYC (8q24), MYCN (2p24) and MYCL1 (1p34). Additional highly localized DNA amplifications suggested candidate oncogenes not previously identified as amplified in SCLC, including the antiapoptotic genes TNFRSF4 (1p36), DAD1 (14q11), BCL2L1 (20q11) and BCL2L2 (14q11). Likewise, newly discovered PCR-validated homozygous deletions suggested candidate tumor-suppressor genes, including the proapoptotic genes MAPK10 (4q21) and TNFRSF6 (10q23). To characterize the effect of DNA amplification on gene expression patterns, we performed expression profiling using the same microarray platform. Among our findings, we identified sets of genes whose expression correlated with MYC, MYCN or MYCL1 amplification, with surprisingly little overlap among gene sets. While both MYC and MYCN amplification were associated with increased and decreased expression of known MYC upregulated and downregulated targets, respectively, MYCL1 amplification was associated only with the latter. Our findings support a role of altered apoptotic balance in the pathogenesis of SCLC, and suggest that MYC family genes might affect oncogenesis through distinct sets of targets, in particular implicating the importance of transcriptional repression."}
{"STANDARD_NAME":"YANG_BREAST_CANCER_ESR1_DN","SYSTEMATIC_NAME":"M1293","ORGANISM":"Homo sapiens","PMID":"16261164","AUTHORS":"Yang F,Foekens JA,Yu J,Sieuwerts AM,Timmermans M,Klijn JG,Atkins D,Wang Y,Jiang Y","EXACT_SOURCE":"table 1S: Relative expression -","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in early primary breast tumors expressing ESR1 [GeneID=2099] vs the ESR1 negative ones.","DESCRIPTION_FULL":"About 70-80% of breast cancers express estrogen receptor alpha (ER-alpha), and estrogens play important roles in the development and growth of hormone-dependent tumors. Together with lymph node metastasis, tumor size, and histological grade, ER status is considered as one of the prognostic factors in breast cancer, and an indicator for hormonal treatment. To investigate genes and pathways that are associated with ER status and epithelial cells in breast tumor, we applied laser capture microdissection (LCM) technology to capture epithelial tumor cells from 28 lymph node-negative breast tumor samples, in which 17 patients had ER-alpha+ tumors, and 11 patients have ER-alpha- tumors. Gene expression profiles were analysed on Affymetrix Hu133A GeneChip. Meanwhile, gene profiles using total RNA isolated from bulk tumors of the same 28 patients were also generated. In total, 146 genes and 112 genes with significant P-value and having significant differential expression between ER-alpha+ and ER-alpha- tumors were identified from the LCM data set and bulk tissue data set, respectively. A total of 61 genes were found to be common in both data sets, while 85 genes were unique to the LCM data set and 51 genes were present only in the bulk tumor data set. Pathway analysis with the 85 genes using Gene Ontology suggested that genes involved in endocytosis, ceramide generation, Ras/ERK/Ark cascade, and JAT-STAT pathways may play roles related to ER. The gene profiling with LCM-captured tumor cells provides a unique approach to study epithelial tumor cells and to gain an insight into signaling pathways associated with ER."}
{"STANDARD_NAME":"YANG_BREAST_CANCER_ESR1_LASER_UP","SYSTEMATIC_NAME":"M10541","ORGANISM":"Homo sapiens","PMID":"16261164","AUTHORS":"Yang F,Foekens JA,Yu J,Sieuwerts AM,Timmermans M,Klijn JG,Atkins D,Wang Y,Jiang Y","EXACT_SOURCE":"Table 2S: Relative expression +","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in laser microdissected (LCM) samples of early primary breast tumors expressing ESR1 [GeneID=2099] vs the ESR1 negative ones.","DESCRIPTION_FULL":"About 70-80% of breast cancers express estrogen receptor alpha (ER-alpha), and estrogens play important roles in the development and growth of hormone-dependent tumors. Together with lymph node metastasis, tumor size, and histological grade, ER status is considered as one of the prognostic factors in breast cancer, and an indicator for hormonal treatment. To investigate genes and pathways that are associated with ER status and epithelial cells in breast tumor, we applied laser capture microdissection (LCM) technology to capture epithelial tumor cells from 28 lymph node-negative breast tumor samples, in which 17 patients had ER-alpha+ tumors, and 11 patients have ER-alpha- tumors. Gene expression profiles were analysed on Affymetrix Hu133A GeneChip. Meanwhile, gene profiles using total RNA isolated from bulk tumors of the same 28 patients were also generated. In total, 146 genes and 112 genes with significant P-value and having significant differential expression between ER-alpha+ and ER-alpha- tumors were identified from the LCM data set and bulk tissue data set, respectively. A total of 61 genes were found to be common in both data sets, while 85 genes were unique to the LCM data set and 51 genes were present only in the bulk tumor data set. Pathway analysis with the 85 genes using Gene Ontology suggested that genes involved in endocytosis, ceramide generation, Ras/ERK/Ark cascade, and JAT-STAT pathways may play roles related to ER. The gene profiling with LCM-captured tumor cells provides a unique approach to study epithelial tumor cells and to gain an insight into signaling pathways associated with ER."}
{"STANDARD_NAME":"YANG_BREAST_CANCER_ESR1_LASER_DN","SYSTEMATIC_NAME":"M11078","ORGANISM":"Homo sapiens","PMID":"16261164","AUTHORS":"Yang F,Foekens JA,Yu J,Sieuwerts AM,Timmermans M,Klijn JG,Atkins D,Wang Y,Jiang Y","EXACT_SOURCE":"Table 2S: Relative expression -","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in laser microdissected (LCM) samples of early primary breast tumors expressing ESR1 [GeneID=2099] vs the ESR1 negative ones.","DESCRIPTION_FULL":"About 70-80% of breast cancers express estrogen receptor alpha (ER-alpha), and estrogens play important roles in the development and growth of hormone-dependent tumors. Together with lymph node metastasis, tumor size, and histological grade, ER status is considered as one of the prognostic factors in breast cancer, and an indicator for hormonal treatment. To investigate genes and pathways that are associated with ER status and epithelial cells in breast tumor, we applied laser capture microdissection (LCM) technology to capture epithelial tumor cells from 28 lymph node-negative breast tumor samples, in which 17 patients had ER-alpha+ tumors, and 11 patients have ER-alpha- tumors. Gene expression profiles were analysed on Affymetrix Hu133A GeneChip. Meanwhile, gene profiles using total RNA isolated from bulk tumors of the same 28 patients were also generated. In total, 146 genes and 112 genes with significant P-value and having significant differential expression between ER-alpha+ and ER-alpha- tumors were identified from the LCM data set and bulk tissue data set, respectively. A total of 61 genes were found to be common in both data sets, while 85 genes were unique to the LCM data set and 51 genes were present only in the bulk tumor data set. Pathway analysis with the 85 genes using Gene Ontology suggested that genes involved in endocytosis, ceramide generation, Ras/ERK/Ark cascade, and JAT-STAT pathways may play roles related to ER. The gene profiling with LCM-captured tumor cells provides a unique approach to study epithelial tumor cells and to gain an insight into signaling pathways associated with ER."}
{"STANDARD_NAME":"YANG_BREAST_CANCER_ESR1_BULK_UP","SYSTEMATIC_NAME":"M10748","ORGANISM":"Homo sapiens","PMID":"16261164","AUTHORS":"Yang F,Foekens JA,Yu J,Sieuwerts AM,Timmermans M,Klijn JG,Atkins D,Wang Y,Jiang Y","EXACT_SOURCE":"Table 3S: Relative expression +","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in bulk samples from early primary breast tumors expressing ESR1 [GeneID=2099] vs the ESR1 negative samples.","DESCRIPTION_FULL":"About 70-80% of breast cancers express estrogen receptor alpha (ER-alpha), and estrogens play important roles in the development and growth of hormone-dependent tumors. Together with lymph node metastasis, tumor size, and histological grade, ER status is considered as one of the prognostic factors in breast cancer, and an indicator for hormonal treatment. To investigate genes and pathways that are associated with ER status and epithelial cells in breast tumor, we applied laser capture microdissection (LCM) technology to capture epithelial tumor cells from 28 lymph node-negative breast tumor samples, in which 17 patients had ER-alpha+ tumors, and 11 patients have ER-alpha- tumors. Gene expression profiles were analysed on Affymetrix Hu133A GeneChip. Meanwhile, gene profiles using total RNA isolated from bulk tumors of the same 28 patients were also generated. In total, 146 genes and 112 genes with significant P-value and having significant differential expression between ER-alpha+ and ER-alpha- tumors were identified from the LCM data set and bulk tissue data set, respectively. A total of 61 genes were found to be common in both data sets, while 85 genes were unique to the LCM data set and 51 genes were present only in the bulk tumor data set. Pathway analysis with the 85 genes using Gene Ontology suggested that genes involved in endocytosis, ceramide generation, Ras/ERK/Ark cascade, and JAT-STAT pathways may play roles related to ER. The gene profiling with LCM-captured tumor cells provides a unique approach to study epithelial tumor cells and to gain an insight into signaling pathways associated with ER."}
{"STANDARD_NAME":"YANG_BREAST_CANCER_ESR1_BULK_DN","SYSTEMATIC_NAME":"M5483","ORGANISM":"Homo sapiens","PMID":"16261164","AUTHORS":"Yang F,Foekens JA,Yu J,Sieuwerts AM,Timmermans M,Klijn JG,Atkins D,Wang Y,Jiang Y","EXACT_SOURCE":"Table 3S","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in bulk samples from early primary breast tumors expressing ESR1 [GeneID=2099] vs the ESR1 negative samples.","DESCRIPTION_FULL":"About 70-80% of breast cancers express estrogen receptor alpha (ER-alpha), and estrogens play important roles in the development and growth of hormone-dependent tumors. Together with lymph node metastasis, tumor size, and histological grade, ER status is considered as one of the prognostic factors in breast cancer, and an indicator for hormonal treatment. To investigate genes and pathways that are associated with ER status and epithelial cells in breast tumor, we applied laser capture microdissection (LCM) technology to capture epithelial tumor cells from 28 lymph node-negative breast tumor samples, in which 17 patients had ER-alpha+ tumors, and 11 patients have ER-alpha- tumors. Gene expression profiles were analysed on Affymetrix Hu133A GeneChip. Meanwhile, gene profiles using total RNA isolated from bulk tumors of the same 28 patients were also generated. In total, 146 genes and 112 genes with significant P-value and having significant differential expression between ER-alpha+ and ER-alpha- tumors were identified from the LCM data set and bulk tissue data set, respectively. A total of 61 genes were found to be common in both data sets, while 85 genes were unique to the LCM data set and 51 genes were present only in the bulk tumor data set. Pathway analysis with the 85 genes using Gene Ontology suggested that genes involved in endocytosis, ceramide generation, Ras/ERK/Ark cascade, and JAT-STAT pathways may play roles related to ER. The gene profiling with LCM-captured tumor cells provides a unique approach to study epithelial tumor cells and to gain an insight into signaling pathways associated with ER."}
{"STANDARD_NAME":"WANG_RESPONSE_TO_BEXAROTENE_UP","SYSTEMATIC_NAME":"M1263","ORGANISM":"Mus musculus","PMID":"16247446","AUTHORS":"Wang Y,Zhang Z,Yao R,Jia D,Wang D,Lubet RA,You M","EXACT_SOURCE":"Table 2: set B","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in the mouse lung cancer model and which reverted to normal levels upon treatment with bexarotene [PubChem=82146].","DESCRIPTION_FULL":"Bexarotene (Targretin), is a synthetic high-affinity RXR receptor agonist with limited affinity for RAR receptors. Bexarotene has shown efficacy in a phase I/II trial of non-small-cell lung cancers. However, the chemopreventive efficacy of bexarotene has not been determined in mouse lung cancer models. In this study, we have investigated the ability of bexarotene to inhibit lung tumor progression in the mutant A/J mouse models with genetic alterations in p53 or K-ras, two of the most commonly altered genes in human lung tumorigenesis. Mice were administered vinyl carbamate (VC), a carcinogen, by a single intraperitoneal injection (i.p.) at 6 weeks of age. Bexarotene was given by gavage starting at 16 weeks after VC and was continued for 12 weeks. Although all mice developed lung tumors, only 7% of lung tumors were adenocarcinomas in wild-type mice, whereas 22 and 26% of lung tumors were adenocarcinomas in p53 transgenic or K-ras heterozygous deficient mice. Bexarotene inhibited both tumor multiplicity and tumor volume in mice of all three genotypes. Furthermore, bexarotene reduced the progression of adenoma to adenocarcinoma by approximately 50% in both p53(wt/wt)K-ras(ko/wt) and p53(wt/wt)K-ras(wt/wt) mice. Thus, bexarotene appears to be an effective preventive agent against lung tumor growth and progression."}
{"STANDARD_NAME":"WANG_RESPONSE_TO_BEXAROTENE_DN","SYSTEMATIC_NAME":"M1264","ORGANISM":"Mus musculus","PMID":"16247446","AUTHORS":"Wang Y,Zhang Z,Yao R,Jia D,Wang D,Lubet RA,You M","EXACT_SOURCE":"Table 2: set A","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in the mouse lung cancer model and which reverted to normal levels upon treatment with bexarotene [PubChem=82146].","DESCRIPTION_FULL":"Bexarotene (Targretin), is a synthetic high-affinity RXR receptor agonist with limited affinity for RAR receptors. Bexarotene has shown efficacy in a phase I/II trial of non-small-cell lung cancers. However, the chemopreventive efficacy of bexarotene has not been determined in mouse lung cancer models. In this study, we have investigated the ability of bexarotene to inhibit lung tumor progression in the mutant A/J mouse models with genetic alterations in p53 or K-ras, two of the most commonly altered genes in human lung tumorigenesis. Mice were administered vinyl carbamate (VC), a carcinogen, by a single intraperitoneal injection (i.p.) at 6 weeks of age. Bexarotene was given by gavage starting at 16 weeks after VC and was continued for 12 weeks. Although all mice developed lung tumors, only 7% of lung tumors were adenocarcinomas in wild-type mice, whereas 22 and 26% of lung tumors were adenocarcinomas in p53 transgenic or K-ras heterozygous deficient mice. Bexarotene inhibited both tumor multiplicity and tumor volume in mice of all three genotypes. Furthermore, bexarotene reduced the progression of adenoma to adenocarcinoma by approximately 50% in both p53(wt/wt)K-ras(ko/wt) and p53(wt/wt)K-ras(wt/wt) mice. Thus, bexarotene appears to be an effective preventive agent against lung tumor growth and progression."}
{"STANDARD_NAME":"HASINA_NOL7_TARGETS_UP","SYSTEMATIC_NAME":"M6656","ORGANISM":"Homo sapiens","PMID":"16205646","AUTHORS":"Hasina R,Pontier AL,Fekete MJ,Martin LE,Qi XM,Brigaudeau C,Pramanik R,Cline EI,Coignet LJ,Lingen MW","EXACT_SOURCE":"Table 1S","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in SiHa cells (cervical carcinoma) by stable expression of NOL7 [GeneID=51406] off a plasmid vector.","DESCRIPTION_FULL":"Cervical cancer is associated with human papilloma virus infection. However, this infection is insufficient to induce transformation and progression. Loss of heterozygosity analyses suggest the presence of a tumor suppressor gene (TSG) on chromosome 6p21.3-p25. Here we report the cloning NOL7, its mapping to chromosome band 6p23, and localization of the protein to the nucleolus. Fluorescence in situ hybridization analysis demonstrated an allelic loss of an NOL7 in cultured tumor cells and human tumor samples. Transfection of NOL7 into cervical carcinoma cells inhibited their growth in mouse xenografts, confirming its in vivo tumor suppressor activity. The induction of tumor dormancy correlated with an angiogenic switch caused by a decreased production of vascular endothelial growth factor and an increase in the production of the angiogenesis inhibitor thrombospondin-1. These data suggest that NOL7 may function as a TSG in part by modulating the expression of the angiogenic phenotype."}
{"STANDARD_NAME":"HASINA_NOL7_TARGETS_DN","SYSTEMATIC_NAME":"M596","ORGANISM":"Homo sapiens","PMID":"16205646","AUTHORS":"Hasina R,Pontier AL,Fekete MJ,Martin LE,Qi XM,Brigaudeau C,Pramanik R,Cline EI,Coignet LJ,Lingen MW","EXACT_SOURCE":"Table 2S","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in SiHa cells (cervical carcinoma) by stable expression of NOL7 [GeneID=51406] off a plasmid vector.","DESCRIPTION_FULL":"Cervical cancer is associated with human papilloma virus infection. However, this infection is insufficient to induce transformation and progression. Loss of heterozygosity analyses suggest the presence of a tumor suppressor gene (TSG) on chromosome 6p21.3-p25. Here we report the cloning NOL7, its mapping to chromosome band 6p23, and localization of the protein to the nucleolus. Fluorescence in situ hybridization analysis demonstrated an allelic loss of an NOL7 in cultured tumor cells and human tumor samples. Transfection of NOL7 into cervical carcinoma cells inhibited their growth in mouse xenografts, confirming its in vivo tumor suppressor activity. The induction of tumor dormancy correlated with an angiogenic switch caused by a decreased production of vascular endothelial growth factor and an increase in the production of the angiogenesis inhibitor thrombospondin-1. These data suggest that NOL7 may function as a TSG in part by modulating the expression of the angiogenic phenotype."}
{"STANDARD_NAME":"KONDO_HYPOXIA","SYSTEMATIC_NAME":"M7407","ORGANISM":"Homo sapiens","PMID":"16247469","AUTHORS":"Kondo S,Kubota S,Mukudai Y,Moritani N,Nishida T,Matsushita H,Matsumoto S,Sugahara T,Takigawa M","EXACT_SOURCE":"Table 1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in HSC-2/8 cells (chondrosarcoma) under hypoxic conditions.","DESCRIPTION_FULL":"Connective tissue growth factor (CTGF/CCN2) can be induced by various forms of stress such as exposure to high glucose, mechanical load, or hypoxia. Here, we investigated the molecular mechanism involved in the induction of ctgf/ccn2 by hypoxia in a human chondrosarcoma cell line, HCS-2/8. Hypoxia increased the ctgf/ccn2 mRNA level by altering the 3'-untranslated region (UTR)-mediated mRNA stability without requiring de novo protein synthesis. After a series of extensive analyses, we eventually found that the cis-repressive element of 84 bases within the 3'-UTR specifically bound to a cytoplasmic/nuclear protein. By conducting a UV crosslinking assay, we found the cytoplasmic/nuclear protein to be a 35 kDa molecule that bound to the cis-element in a hypoxia-inducible manner. These results suggest that a cis-element in the 3'-UTR of ctgf/ccn2 mRNA and trans-factor counterpart(s) play an important role in the post-transcriptional regulation by determining the stability of ctgf/ccn2 mRNA."}
{"STANDARD_NAME":"HOWLIN_PUBERTAL_MAMMARY_GLAND","SYSTEMATIC_NAME":"M1267","ORGANISM":"Mus musculus","PMID":"16278680","AUTHORS":"Howlin J,McBryan J,Napoletano S,Lambe T,McArdle E,Shioda T,Martin F","EXACT_SOURCE":"Supplementary Data 1","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in pubertal mammary glands compared to mammary glands from other developmental stages.","DESCRIPTION_FULL":"Expression microarray analysis identified CITED1 among a group of genes specifically upregulated in the pubertal mouse mammary gland. At puberty, CITED1 localizes to the luminal epithelial cell population of the mammary ducts and the body cells of the terminal end buds. Generation of CITED1 gene knockout mice showed that homozygous null mutants exhibit retarded mammary ductal growth at puberty and, in addition, dilated ductal structures with a lack of spatial restriction of the subtending branches. Analysis of CITED1 homozygous null and heterozygous null mammary gland gene expression using microarrays suggested that the mammary-specific phenotype seen in the homozygous null females is due to a disturbance in the transcription of a number of key mediators of pubertal ductal morphogenesis. These include estrogen and TGFbeta responsive genes, such as the EGFR/ErbB2 ligand, amphiregulin, whose transcription we suggest is directly or indirectly regulated by CITED1."}
{"STANDARD_NAME":"KREPPEL_CD99_TARGETS_DN","SYSTEMATIC_NAME":"M1269","ORGANISM":"Homo sapiens","PMID":"16314831","AUTHORS":"Kreppel M,Aryee DN,Schaefer KL,Amann G,Kofler R,Poremba C,Kovar H","EXACT_SOURCE":"Table 1","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in ESFT cells (Ewing's sarcoma family of tumors) after knockdown of CD99 [GeneID=4267] by RNAi.","DESCRIPTION_FULL":"High CD99 expression levels and rearrangements of the EWS gene with ETS transcription factor genes characterize the Ewing's sarcoma family of tumors (ESFT). CD99 is a cell surface glycoprotein whose engagement has been implicated in cell proliferation as well as upregulation and transport of several transmembrane proteins in hematopoietic cells. In ESFT, antibody ligation of CD99 induces fast homotypic cell aggregation and cell death although its functional role in these processes remains largely unknown. Here, using an RNAi approach, we studied for the first time the consequences of modulated CD99 expression in six different ESFT cell lines, representing the most frequent variant forms of EWS gene rearrangement. CD99 suppression resulted in growth inhibition and reduced migration of ESFT cells. Among genes whose expression changes in response to CD99 modulation, the potassium-channel modulatory factor KCMF1 was consistently upregulated. In a series of 22 primary ESFT, KCMF1 expression levels inversely correlated with CD99 abundancy. Cells forced to express ectopic KCMF1 showed a similar reduction in migratory ability as CD99 silenced ESFT cells. Our results suggest that in ESFT, high CD99 expression levels contribute to the malignant properties of ESFT by promoting growth and migration of tumor cells and identify KCMF1 as a potential metastasis suppressor gene downregulated by high constitutive CD99 expression in ESFT."}
{"STANDARD_NAME":"HATADA_METHYLATED_IN_LUNG_CANCER_UP","SYSTEMATIC_NAME":"M19508","ORGANISM":"Homo sapiens","PMID":"16407832","AUTHORS":"Hatada I,Fukasawa M,Kimura M,Morita S,Yamada K,Yoshikawa T,Yamanaka S,Endo C,Sakurada A,Sato M,Kondo T,Horii A,Ushijima T,Sasaki H","EXACT_SOURCE":"Table 2S: hypermethylated","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with hypermethylated DNA in lung cancer samples.","DESCRIPTION_FULL":"DNA methylation in the promoter region of a gene is associated with a loss of that gene's expression and plays an important role in gene silencing. The inactivation of tumor-suppressor genes by aberrant methylation in the promoter region is well recognized in carcinogenesis. However, there has been little study in this area when it comes to genome-wide profiling of the promoter methylation. Here, we developed a genome-wide profiling method called Microarray-based Integrated Analysis of Methylation by Isoschizomers to analyse the DNA methylation of promoter regions of 8091 human genes. With this method, resistance to both the methylation-sensitive restriction enzyme HpaII and the methylation-insensitive isoschizomer MspI was compared between samples by using a microarray with promoter regions of the 8091 genes. The reliability of the difference in HpaII resistance was judged using the difference in MspI resistance. We demonstrated the utility of this method by finding epigenetic mutations in cancer. Aberrant hypermethylation is known to inactivate tumour suppressor genes. Using this method, we found that frequency of the aberrant promoter hypermethylation in cancer is higher than previously hypothesized. Aberrant hypomethylation is known to induce activation of oncogenes in cancer. Genome-wide analysis of hypomethylated promoter sequences in cancer demonstrated low CG/GC ratio of these sequences, suggesting that CpG-poor genes are sensitive to demethylation activity in cancer."}
{"STANDARD_NAME":"HATADA_METHYLATED_IN_LUNG_CANCER_DN","SYSTEMATIC_NAME":"M11680","ORGANISM":"Homo sapiens","PMID":"16407832","AUTHORS":"Hatada I,Fukasawa M,Kimura M,Morita S,Yamada K,Yoshikawa T,Yamanaka S,Endo C,Sakurada A,Sato M,Kondo T,Horii A,Ushijima T,Sasaki H","EXACT_SOURCE":"Table 2S: hypomethylated","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with unmethylated DNA in lung cancer samples.","DESCRIPTION_FULL":"DNA methylation in the promoter region of a gene is associated with a loss of that gene's expression and plays an important role in gene silencing. The inactivation of tumor-suppressor genes by aberrant methylation in the promoter region is well recognized in carcinogenesis. However, there has been little study in this area when it comes to genome-wide profiling of the promoter methylation. Here, we developed a genome-wide profiling method called Microarray-based Integrated Analysis of Methylation by Isoschizomers to analyse the DNA methylation of promoter regions of 8091 human genes. With this method, resistance to both the methylation-sensitive restriction enzyme HpaII and the methylation-insensitive isoschizomer MspI was compared between samples by using a microarray with promoter regions of the 8091 genes. The reliability of the difference in HpaII resistance was judged using the difference in MspI resistance. We demonstrated the utility of this method by finding epigenetic mutations in cancer. Aberrant hypermethylation is known to inactivate tumour suppressor genes. Using this method, we found that frequency of the aberrant promoter hypermethylation in cancer is higher than previously hypothesized. Aberrant hypomethylation is known to induce activation of oncogenes in cancer. Genome-wide analysis of hypomethylated promoter sequences in cancer demonstrated low CG/GC ratio of these sequences, suggesting that CpG-poor genes are sensitive to demethylation activity in cancer."}
{"STANDARD_NAME":"CALVET_IRINOTECAN_SENSITIVE_VS_RESISTANT_UP","SYSTEMATIC_NAME":"M17456","ORGANISM":"Homo sapiens","PMID":"16501609","AUTHORS":"Calvet L,Geoerger B,Regairaz M,Opolon P,Machet L,Morizet J,Joseph JM,Elie N,Vassal G","EXACT_SOURCE":"Table 1: sensitive vs resistant","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in neuroblastoma xenografts: sensitive vs resistant to the topoisomerase inhibitor irinotecan [GeneID=3750].","DESCRIPTION_FULL":"In vivo neuroblastoma (NB) xenograft model, resistant to the DNA-topoisomerase I inhibitor irinotecan (CPT-11), has been established to study resistance mechanisms acquired in a therapeutic setting. Common mechanisms of resistance were not involved in this resistance. Thus, we compared the gene expression profiles of sensitive, resistant, and reverted tumors using cDNA expression arrays. Expression of selected transcripts was confirmed by quantitative real-time PCR. We found that pleiotrophin (PTN), a heparin-binding growth factor, was the only gene significantly affected: PTN gene expression was downregulated in all resistant tumors (8-14-fold) as compared to sensitive tumors, and was increased (2-4-fold) in all reverted tumors as compared to resistant tumors. PTN thus appeared to be a likely candidate gene associated with resistance to CPT-11 in this in vivo model. To investigate the direct implication of PTN in NB, we transfected two NB cell lines with RNA interferences in order to silence PTN. PTN failed to demonstrate implication in resistance to CPT-11 in vitro but could influence sensitivity to CPT-11 exclusively through an in vivo mechanism. Indeed, vasculature was significantly enhanced in resistant NB xenografts compared to sensitive and reverted xenografts, and we suggest that PTN is acting in our resistant in vivo NB model as an angiostatic factor."}
{"STANDARD_NAME":"CALVET_IRINOTECAN_SENSITIVE_VS_REVERTED_UP","SYSTEMATIC_NAME":"M1750","ORGANISM":"Homo sapiens","PMID":"16501609","AUTHORS":"Calvet L,Geoerger B,Regairaz M,Opolon P,Machet L,Morizet J,Joseph JM,Elie N,Vassal G","EXACT_SOURCE":"Table 1: resistant vs reverted","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in neuroblastoma xenografts: resistant vs those that reverted to be sensitive to the topoisomerase inhibitor irinotecan [PubChem=3750].","DESCRIPTION_FULL":"In vivo neuroblastoma (NB) xenograft model, resistant to the DNA-topoisomerase I inhibitor irinotecan (CPT-11), has been established to study resistance mechanisms acquired in a therapeutic setting. Common mechanisms of resistance were not involved in this resistance. Thus, we compared the gene expression profiles of sensitive, resistant, and reverted tumors using cDNA expression arrays. Expression of selected transcripts was confirmed by quantitative real-time PCR. We found that pleiotrophin (PTN), a heparin-binding growth factor, was the only gene significantly affected: PTN gene expression was downregulated in all resistant tumors (8-14-fold) as compared to sensitive tumors, and was increased (2-4-fold) in all reverted tumors as compared to resistant tumors. PTN thus appeared to be a likely candidate gene associated with resistance to CPT-11 in this in vivo model. To investigate the direct implication of PTN in NB, we transfected two NB cell lines with RNA interferences in order to silence PTN. PTN failed to demonstrate implication in resistance to CPT-11 in vitro but could influence sensitivity to CPT-11 exclusively through an in vivo mechanism. Indeed, vasculature was significantly enhanced in resistant NB xenografts compared to sensitive and reverted xenografts, and we suggest that PTN is acting in our resistant in vivo NB model as an angiostatic factor."}
{"STANDARD_NAME":"CALVET_IRINOTECAN_SENSITIVE_VS_REVERTED_DN","SYSTEMATIC_NAME":"M1271","ORGANISM":"Homo sapiens","PMID":"16501609","AUTHORS":"Calvet L,Geoerger B,Regairaz M,Opolon P,Machet L,Morizet J,Joseph JM,Elie N,Vassal G","EXACT_SOURCE":"Table 1: resistant vs reverted","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in neuroblastoma xenografts: resistant vs those that reverted to be sensitive to the topoisomerase inhibitor irinotecan [PubChem=3750].","DESCRIPTION_FULL":"In vivo neuroblastoma (NB) xenograft model, resistant to the DNA-topoisomerase I inhibitor irinotecan (CPT-11), has been established to study resistance mechanisms acquired in a therapeutic setting. Common mechanisms of resistance were not involved in this resistance. Thus, we compared the gene expression profiles of sensitive, resistant, and reverted tumors using cDNA expression arrays. Expression of selected transcripts was confirmed by quantitative real-time PCR. We found that pleiotrophin (PTN), a heparin-binding growth factor, was the only gene significantly affected: PTN gene expression was downregulated in all resistant tumors (8-14-fold) as compared to sensitive tumors, and was increased (2-4-fold) in all reverted tumors as compared to resistant tumors. PTN thus appeared to be a likely candidate gene associated with resistance to CPT-11 in this in vivo model. To investigate the direct implication of PTN in NB, we transfected two NB cell lines with RNA interferences in order to silence PTN. PTN failed to demonstrate implication in resistance to CPT-11 in vitro but could influence sensitivity to CPT-11 exclusively through an in vivo mechanism. Indeed, vasculature was significantly enhanced in resistant NB xenografts compared to sensitive and reverted xenografts, and we suggest that PTN is acting in our resistant in vivo NB model as an angiostatic factor."}
{"STANDARD_NAME":"KARAKAS_TGFB1_SIGNALING","SYSTEMATIC_NAME":"M17300","ORGANISM":"Homo sapiens","PMID":"16619041","AUTHORS":"Karakas B,Weeraratna A,Abukhdeir A,Blair BG,Konishi H,Arena S,Becker K,Wood W 3rd,Argani P,De Marzo AM,Bachman KE,Park BH","EXACT_SOURCE":"Table 1: up in both","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated by TGFB1 [GeneID=7040] in MCF10A cells (breast cancer): both wild-type and those lacking p21 [GeneID=1026].","DESCRIPTION_FULL":"Transforming growth factor-beta type 1 (TGF-beta) has been implicated as both a tumor suppressor and a tumor promoter in many solid epithelial cancers. We have previously demonstrated that the cyclin dependent kinase (CDK) inhibitor p21 acts as a molecular switch in determining a growth inhibitory versus growth proliferative response to TGF-beta in the spontaneously immortalized human mammary epithelial cell line MCF-10A. We now demonstrate that this proliferative effect of TGF-beta is mediated through the proinflammatory cytokine, interleukin-1alpha (IL-1alpha). Using gene expression array analysis, we identified IL-1alpha as a cytokine specifically upregulated only in cells lacking p21 and only upon TGF-beta stimulation. Cell proliferation assays verified that recombinant IL-1alpha was capable of inducing a growth proliferative response in p21 null MCF-10A cells, while neutralizing antibodies against IL-1alpha prevented the growth proliferative effects of TGF-beta. Mechanistically, both the CDK and proliferating cell nuclear antigen (PCNA) inhibitory functions of p21 were responsible for preventing TGF-beta induced cell proliferation, but only PCNA inhibition by p21 regulated IL-1alpha gene expression. These studies demonstrate a novel role for IL-1alpha in mediating a proliferative response to TGF-beta signaling, and suggest that therapies directed against IL-1alpha could abate the growth proliferative effects of TGF-beta without compromising its tumor suppressive function."}
{"STANDARD_NAME":"SHETH_LIVER_CANCER_VS_TXNIP_LOSS_PAM2","SYSTEMATIC_NAME":"M1275","ORGANISM":"Mus musculus","PMID":"16607285","AUTHORS":"Sheth SS,Bodnar JS,Ghazalpour A,Thipphavong CK,Tsutsumi S,Tward AD,Demant P,Kodama T,Aburatani H,Lusis AJ","GEOID":"GSE2127","EXACT_SOURCE":"Table 2S","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster PAM2: genes up-regulated in hepatocellular carcinoma (HCC) vs normal liver tissue from mice deficient for TXNIP [GeneID=10628].","DESCRIPTION_FULL":"The molecular pathogenesis and the genetic aberrations that lead to the progression of hepatocellular carcinoma (HCC) are largely unknown. Here, we demonstrate that the thioredoxin interacting protein (Txnip) gene is a candidate tumor suppressor gene in vivo. We previously showed that the recombinant inbred congenic strain HcB-19 has a spontaneous mutation of the Txnip gene, and we now show that the strain has dramatically increased incidence of HCC, and that the HCC cosegregates with the Txnip mutation. Approximately 40% of the Txnip-deficient mice developed hepatic tumors with an increased prevalence in male mice. Visible tumors develop as early as 8 months of age. Histological analysis confirmed the morphology of HCC in the Txnip-deficient mice. Molecular markers of HCC, alpha-fetoprotein and p53, were increased in tumors of Txnip-deficient mice. The upregulation of p53 preceded tumor development; however, bromodeoxyuridine (BrdU) labeling of normal hepatic tissue of Txnip-deficient mice did not reveal increased cell proliferation. Finally, microarray analyses of tumor, non-tumor adjacent, and normal tissue of Txnip-deficient mice highlighted the genetic differences leading to the predisposition and onset of HCC. Our findings suggest that Txnip deficiency is sufficient to initiate HCC and suggest novel mechanisms in hepatocarcinogenesis."}
{"STANDARD_NAME":"SHETH_LIVER_CANCER_VS_TXNIP_LOSS_PAM3","SYSTEMATIC_NAME":"M1277","ORGANISM":"Mus musculus","PMID":"16607285","AUTHORS":"Sheth SS,Bodnar JS,Ghazalpour A,Thipphavong CK,Tsutsumi S,Tward AD,Demant P,Kodama T,Aburatani H,Lusis AJ","GEOID":"GSE2127","EXACT_SOURCE":"Table 3S","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster PAM3: genes most highly up-regulated in hepatocellular carcinoma (HCC) vs normal liver tissue from mice deficient for TXNIP [GeneID=10628].","DESCRIPTION_FULL":"The molecular pathogenesis and the genetic aberrations that lead to the progression of hepatocellular carcinoma (HCC) are largely unknown. Here, we demonstrate that the thioredoxin interacting protein (Txnip) gene is a candidate tumor suppressor gene in vivo. We previously showed that the recombinant inbred congenic strain HcB-19 has a spontaneous mutation of the Txnip gene, and we now show that the strain has dramatically increased incidence of HCC, and that the HCC cosegregates with the Txnip mutation. Approximately 40% of the Txnip-deficient mice developed hepatic tumors with an increased prevalence in male mice. Visible tumors develop as early as 8 months of age. Histological analysis confirmed the morphology of HCC in the Txnip-deficient mice. Molecular markers of HCC, alpha-fetoprotein and p53, were increased in tumors of Txnip-deficient mice. The upregulation of p53 preceded tumor development; however, bromodeoxyuridine (BrdU) labeling of normal hepatic tissue of Txnip-deficient mice did not reveal increased cell proliferation. Finally, microarray analyses of tumor, non-tumor adjacent, and normal tissue of Txnip-deficient mice highlighted the genetic differences leading to the predisposition and onset of HCC. Our findings suggest that Txnip deficiency is sufficient to initiate HCC and suggest novel mechanisms in hepatocarcinogenesis."}
{"STANDARD_NAME":"SHETH_LIVER_CANCER_VS_TXNIP_LOSS_PAM5","SYSTEMATIC_NAME":"M1281","ORGANISM":"Mus musculus","PMID":"16607285","AUTHORS":"Sheth SS,Bodnar JS,Ghazalpour A,Thipphavong CK,Tsutsumi S,Tward AD,Demant P,Kodama T,Aburatani H,Lusis AJ","GEOID":"GSE2127","EXACT_SOURCE":"Table 5S","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster PAM5: genes changed exclusively in hepatocellular carcinoma (HCC) samples from 27 month old mice deficient for TXNIP [GeneID=10628].","DESCRIPTION_FULL":"The molecular pathogenesis and the genetic aberrations that lead to the progression of hepatocellular carcinoma (HCC) are largely unknown. Here, we demonstrate that the thioredoxin interacting protein (Txnip) gene is a candidate tumor suppressor gene in vivo. We previously showed that the recombinant inbred congenic strain HcB-19 has a spontaneous mutation of the Txnip gene, and we now show that the strain has dramatically increased incidence of HCC, and that the HCC cosegregates with the Txnip mutation. Approximately 40% of the Txnip-deficient mice developed hepatic tumors with an increased prevalence in male mice. Visible tumors develop as early as 8 months of age. Histological analysis confirmed the morphology of HCC in the Txnip-deficient mice. Molecular markers of HCC, alpha-fetoprotein and p53, were increased in tumors of Txnip-deficient mice. The upregulation of p53 preceded tumor development; however, bromodeoxyuridine (BrdU) labeling of normal hepatic tissue of Txnip-deficient mice did not reveal increased cell proliferation. Finally, microarray analyses of tumor, non-tumor adjacent, and normal tissue of Txnip-deficient mice highlighted the genetic differences leading to the predisposition and onset of HCC. Our findings suggest that Txnip deficiency is sufficient to initiate HCC and suggest novel mechanisms in hepatocarcinogenesis."}
{"STANDARD_NAME":"SHETH_LIVER_CANCER_VS_TXNIP_LOSS_PAM6","SYSTEMATIC_NAME":"M1284","ORGANISM":"Mus musculus","PMID":"16607285","AUTHORS":"Sheth SS,Bodnar JS,Ghazalpour A,Thipphavong CK,Tsutsumi S,Tward AD,Demant P,Kodama T,Aburatani H,Lusis AJ","GEOID":"GSE2127","EXACT_SOURCE":"Table 6S","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster PAM6: genes changed exclusively in normal liver tissue adjacent to hepatocellular carcinoma (HCC) from mice deficient for TXNIP [GeneID=10628].","DESCRIPTION_FULL":"The molecular pathogenesis and the genetic aberrations that lead to the progression of hepatocellular carcinoma (HCC) are largely unknown. Here, we demonstrate that the thioredoxin interacting protein (Txnip) gene is a candidate tumor suppressor gene in vivo. We previously showed that the recombinant inbred congenic strain HcB-19 has a spontaneous mutation of the Txnip gene, and we now show that the strain has dramatically increased incidence of HCC, and that the HCC cosegregates with the Txnip mutation. Approximately 40% of the Txnip-deficient mice developed hepatic tumors with an increased prevalence in male mice. Visible tumors develop as early as 8 months of age. Histological analysis confirmed the morphology of HCC in the Txnip-deficient mice. Molecular markers of HCC, alpha-fetoprotein and p53, were increased in tumors of Txnip-deficient mice. The upregulation of p53 preceded tumor development; however, bromodeoxyuridine (BrdU) labeling of normal hepatic tissue of Txnip-deficient mice did not reveal increased cell proliferation. Finally, microarray analyses of tumor, non-tumor adjacent, and normal tissue of Txnip-deficient mice highlighted the genetic differences leading to the predisposition and onset of HCC. Our findings suggest that Txnip deficiency is sufficient to initiate HCC and suggest novel mechanisms in hepatocarcinogenesis."}
{"STANDARD_NAME":"SCHMAHL_PDGF_SIGNALING","SYSTEMATIC_NAME":"M1285","ORGANISM":"Mus musculus","PMID":"17143286","AUTHORS":"Schmahl J,Raymond CS,Soriano P","EXACT_SOURCE":"Table 1S","CHIP":"Mouse_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"These genes form a a network that controls specific processes downstream of PDGF signaling.","DESCRIPTION_FULL":"Growth factor signaling leads to the induction or repression of immediate early genes, but how these genes act collectively as effectors of downstream processes remains unresolved. We have used gene trap-coupled microarray analysis to identify and mutate multiple platelet-derived growth factor (PDGF) intermediate early genes in mice. Mutations in these genes lead to a high frequency of phenotypes that affect the same cell types and processes as those controlled by the PDGF pathway. We conclude that these genes form a network that controls specific processes downstream of PDGF signaling."}
{"STANDARD_NAME":"TOMLINS_PROSTATE_CANCER_UP","SYSTEMATIC_NAME":"M19148","ORGANISM":"Homo sapiens","PMID":"17173048","AUTHORS":"Tomlins SA,Mehra R,Rhodes DR,Cao X,Wang L,Dhanasekaran SM,Kalyana-Sundaram S,Wei JT,Rubin MA,Pienta KJ,Shah RB,Chinnaiyan AM","GEOID":"GSE6099","EXACT_SOURCE":"Fig 1aS","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in prostate cancer vs benign prostate tissue, based on a meta-analysis of five gene expression profiling studies.","DESCRIPTION_FULL":"Despite efforts to profile prostate cancer, the genetic alterations and biological processes that correlate with the observed histological progression are unclear. Using laser-capture microdissection to isolate 101 cell populations, we have profiled prostate cancer progression from benign epithelium to metastatic disease. By analyzing expression signatures in the context of over 14,000 'molecular concepts', or sets of biologically connected genes, we generated an integrative model of progression. Molecular concepts that demarcate critical transitions in progression include protein biosynthesis, E26 transformation-specific (ETS) family transcriptional targets, androgen signaling and cell proliferation. Of note, relative to low-grade prostate cancer (Gleason pattern 3), high-grade cancer (Gleason pattern 4) shows an attenuated androgen signaling signature, similar to metastatic prostate cancer, which may reflect dedifferentiation and explain the clinical association of grade with prognosis. Taken together, these data show that analyzing gene expression signatures in the context of a compendium of molecular concepts is useful in understanding cancer biology."}
{"STANDARD_NAME":"TOMLINS_METASTASIS_UP","SYSTEMATIC_NAME":"M9054","ORGANISM":"Homo sapiens","PMID":"17173048","AUTHORS":"Tomlins SA,Mehra R,Rhodes DR,Cao X,Wang L,Dhanasekaran SM,Kalyana-Sundaram S,Wei JT,Rubin MA,Pienta KJ,Shah RB,Chinnaiyan AM","GEOID":"GSE6099","EXACT_SOURCE":"Fig 5aS: left panel","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top genes up-regulated in hormone refractory metastatic prostate cancer compared to localized prostate cancer.","DESCRIPTION_FULL":"Despite efforts to profile prostate cancer, the genetic alterations and biological processes that correlate with the observed histological progression are unclear. Using laser-capture microdissection to isolate 101 cell populations, we have profiled prostate cancer progression from benign epithelium to metastatic disease. By analyzing expression signatures in the context of over 14,000 'molecular concepts', or sets of biologically connected genes, we generated an integrative model of progression. Molecular concepts that demarcate critical transitions in progression include protein biosynthesis, E26 transformation-specific (ETS) family transcriptional targets, androgen signaling and cell proliferation. Of note, relative to low-grade prostate cancer (Gleason pattern 3), high-grade cancer (Gleason pattern 4) shows an attenuated androgen signaling signature, similar to metastatic prostate cancer, which may reflect dedifferentiation and explain the clinical association of grade with prognosis. Taken together, these data show that analyzing gene expression signatures in the context of a compendium of molecular concepts is useful in understanding cancer biology."}
{"STANDARD_NAME":"TOMLINS_METASTASIS_DN","SYSTEMATIC_NAME":"M7090","ORGANISM":"Homo sapiens","PMID":"17173048","AUTHORS":"Tomlins SA,Mehra R,Rhodes DR,Cao X,Wang L,Dhanasekaran SM,Kalyana-Sundaram S,Wei JT,Rubin MA,Pienta KJ,Shah RB,Chinnaiyan AM","GEOID":"GSE6099","EXACT_SOURCE":"Fig 5aS: right panel","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top genes down-regulated in hormone refractory metastatic prostate cancer compared to localized prostate cancer.","DESCRIPTION_FULL":"Despite efforts to profile prostate cancer, the genetic alterations and biological processes that correlate with the observed histological progression are unclear. Using laser-capture microdissection to isolate 101 cell populations, we have profiled prostate cancer progression from benign epithelium to metastatic disease. By analyzing expression signatures in the context of over 14,000 'molecular concepts', or sets of biologically connected genes, we generated an integrative model of progression. Molecular concepts that demarcate critical transitions in progression include protein biosynthesis, E26 transformation-specific (ETS) family transcriptional targets, androgen signaling and cell proliferation. Of note, relative to low-grade prostate cancer (Gleason pattern 3), high-grade cancer (Gleason pattern 4) shows an attenuated androgen signaling signature, similar to metastatic prostate cancer, which may reflect dedifferentiation and explain the clinical association of grade with prognosis. Taken together, these data show that analyzing gene expression signatures in the context of a compendium of molecular concepts is useful in understanding cancer biology."}
{"STANDARD_NAME":"LIANG_HEMATOPOIESIS_STEM_CELL_NUMBER_LARGE_VS_TINY_UP","SYSTEMATIC_NAME":"M7084","ORGANISM":"Mus musculus","PMID":"17220891","AUTHORS":"Liang Y,Jansen M,Aronow B,Geiger H,Van Zant G","EXACT_SOURCE":"Table 3S","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in LSK cells (bone marrow) as a function of a QTL for the size of hematopoietic stem cell (HSC) population: comparison of congenic B.D. chr3 (BD, large HSC size) vs parental B6 strain (tiny HSC size).","DESCRIPTION_FULL":"We mapped quantitative trait loci that accounted for the variation in hematopoietic stem cell (HSC) numbers between young adult C57BL/6 (B6) and DBA/2 (D2) mice. In reciprocal chromosome 3 congenic mice, introgressed D2 alleles increased HSC numbers owing to enhanced proliferation and self-renewal and reduced apoptosis, whereas B6 alleles had the opposite effects. Using oligonucleotide arrays, real-time PCR and protein blots, we identified latexin (Lxn), a gene whose differential transcription and expression was associated with the allelic differences. Expression was inversely correlated with the number of HSCs; therefore, ectopic expression of Lxn using a retroviral vector decreased stem cell population size. We identified clusters of SNPs upstream of the Lxn transcriptional start site, at least two of which are associated with potential binding sites for transcription factors regulating stem cells. Thus, promoter polymorphisms between the B6 and D2 alleles may affect Lxn gene expression and consequently influence the population size of hematopoietic stem cells."}
{"STANDARD_NAME":"LIANG_HEMATOPOIESIS_STEM_CELL_NUMBER_LARGE_VS_TINY_DN","SYSTEMATIC_NAME":"M870","ORGANISM":"Mus musculus","PMID":"17220891","AUTHORS":"Liang Y,Jansen M,Aronow B,Geiger H,Van Zant G","EXACT_SOURCE":"Table 3S","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in LSK cells (bone marrow) as a function of a QTL for the size of hematopoietic stem cell (HSC) population: comparison of congenic B.D. chr3 (BD, large HSC size) vs parental B6 strain (tiny HSC size).","DESCRIPTION_FULL":"We mapped quantitative trait loci that accounted for the variation in hematopoietic stem cell (HSC) numbers between young adult C57BL/6 (B6) and DBA/2 (D2) mice. In reciprocal chromosome 3 congenic mice, introgressed D2 alleles increased HSC numbers owing to enhanced proliferation and self-renewal and reduced apoptosis, whereas B6 alleles had the opposite effects. Using oligonucleotide arrays, real-time PCR and protein blots, we identified latexin (Lxn), a gene whose differential transcription and expression was associated with the allelic differences. Expression was inversely correlated with the number of HSCs; therefore, ectopic expression of Lxn using a retroviral vector decreased stem cell population size. We identified clusters of SNPs upstream of the Lxn transcriptional start site, at least two of which are associated with potential binding sites for transcription factors regulating stem cells. Thus, promoter polymorphisms between the B6 and D2 alleles may affect Lxn gene expression and consequently influence the population size of hematopoietic stem cells."}
{"STANDARD_NAME":"LIANG_HEMATOPOIESIS_STEM_CELL_NUMBER_SMALL_VS_HUGE_UP","SYSTEMATIC_NAME":"M10245","ORGANISM":"Mus musculus","PMID":"17220891","AUTHORS":"Liang Y,Jansen M,Aronow B,Geiger H,Van Zant G","EXACT_SOURCE":"Table 4S","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in LSK cells (bone marrow) as a function of a QTL for the size of hematopoietic stem cell (HSC) population: comparison of congenic D.B. Chr 3 (DB, small HSC population) vs parental D2 strain (huge HSC population).","DESCRIPTION_FULL":"We mapped quantitative trait loci that accounted for the variation in hematopoietic stem cell (HSC) numbers between young adult C57BL/6 (B6) and DBA/2 (D2) mice. In reciprocal chromosome 3 congenic mice, introgressed D2 alleles increased HSC numbers owing to enhanced proliferation and self-renewal and reduced apoptosis, whereas B6 alleles had the opposite effects. Using oligonucleotide arrays, real-time PCR and protein blots, we identified latexin (Lxn), a gene whose differential transcription and expression was associated with the allelic differences. Expression was inversely correlated with the number of HSCs; therefore, ectopic expression of Lxn using a retroviral vector decreased stem cell population size. We identified clusters of SNPs upstream of the Lxn transcriptional start site, at least two of which are associated with potential binding sites for transcription factors regulating stem cells. Thus, promoter polymorphisms between the B6 and D2 alleles may affect Lxn gene expression and consequently influence the population size of hematopoietic stem cells."}
{"STANDARD_NAME":"LIANG_HEMATOPOIESIS_STEM_CELL_NUMBER_SMALL_VS_HUGE_DN","SYSTEMATIC_NAME":"M19655","ORGANISM":"Mus musculus","PMID":"17220891","AUTHORS":"Liang Y,Jansen M,Aronow B,Geiger H,Van Zant G","EXACT_SOURCE":"Table 4S","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in LSK cells (bone marrow) as a function of a QTL for the size of hematopoietic stem cell (HSC) population: comparison of congenic D.B. Chr 3 (DB, small HSC population) vs parental D2 strain (huge HSC population).","DESCRIPTION_FULL":"We mapped quantitative trait loci that accounted for the variation in hematopoietic stem cell (HSC) numbers between young adult C57BL/6 (B6) and DBA/2 (D2) mice. In reciprocal chromosome 3 congenic mice, introgressed D2 alleles increased HSC numbers owing to enhanced proliferation and self-renewal and reduced apoptosis, whereas B6 alleles had the opposite effects. Using oligonucleotide arrays, real-time PCR and protein blots, we identified latexin (Lxn), a gene whose differential transcription and expression was associated with the allelic differences. Expression was inversely correlated with the number of HSCs; therefore, ectopic expression of Lxn using a retroviral vector decreased stem cell population size. We identified clusters of SNPs upstream of the Lxn transcriptional start site, at least two of which are associated with potential binding sites for transcription factors regulating stem cells. Thus, promoter polymorphisms between the B6 and D2 alleles may affect Lxn gene expression and consequently influence the population size of hematopoietic stem cells."}
{"STANDARD_NAME":"SPIELMAN_LYMPHOBLAST_EUROPEAN_VS_ASIAN_2FC_UP","SYSTEMATIC_NAME":"M2267","ORGANISM":"Homo sapiens","PMID":"17206142","AUTHORS":"Spielman RS,Bastone LA,Burdick JT,Morley M,Ewens WJ,Cheung VG","GEOID":"GSE5859","EXACT_SOURCE":"Table 1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated more than two-fold in lymphoblastoid cell lines from European population compared to those from Asian population.","DESCRIPTION_FULL":"Variation in DNA sequence contributes to individual differences in quantitative traits, but in humans the specific sequence variants are known for very few traits. We characterized variation in gene expression in cells from individuals belonging to three major population groups. This quantitative phenotype differs significantly between European-derived and Asian-derived populations for 1,097 of 4,197 genes tested. For the phenotypes with the strongest evidence of cis determinants, most of the variation is due to allele frequency differences at cis-linked regulators. The results show that specific genetic variation among populations contributes appreciably to differences in gene expression phenotypes. Populations differ in prevalence of many complex genetic diseases, such as diabetes and cardiovascular disease. As some of these are probably influenced by the level of gene expression, our results suggest that allele frequency differences at regulatory polymorphisms also account for some population differences in prevalence of complex diseases."}
{"STANDARD_NAME":"SPIELMAN_LYMPHOBLAST_EUROPEAN_VS_ASIAN_2FC_DN","SYSTEMATIC_NAME":"M5754","ORGANISM":"Homo sapiens","PMID":"17206142","AUTHORS":"Spielman RS,Bastone LA,Burdick JT,Morley M,Ewens WJ,Cheung VG","GEOID":"GSE5859","EXACT_SOURCE":"Table 1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated more than two-fold in lymphoblastoid cell lines from European population compared to those from Asian population.","DESCRIPTION_FULL":"Variation in DNA sequence contributes to individual differences in quantitative traits, but in humans the specific sequence variants are known for very few traits. We characterized variation in gene expression in cells from individuals belonging to three major population groups. This quantitative phenotype differs significantly between European-derived and Asian-derived populations for 1,097 of 4,197 genes tested. For the phenotypes with the strongest evidence of cis determinants, most of the variation is due to allele frequency differences at cis-linked regulators. The results show that specific genetic variation among populations contributes appreciably to differences in gene expression phenotypes. Populations differ in prevalence of many complex genetic diseases, such as diabetes and cardiovascular disease. As some of these are probably influenced by the level of gene expression, our results suggest that allele frequency differences at regulatory polymorphisms also account for some population differences in prevalence of complex diseases."}
{"STANDARD_NAME":"HUI_MAPK14_TARGETS_UP","SYSTEMATIC_NAME":"M1289","ORGANISM":"Mus musculus","PMID":"17468757","AUTHORS":"Hui L,Bakiri L,Mairhorfer A,Schweifer N,Haslinger C,Kenner L,Komnenovic V,Scheuch H,Beug H,Wagner EF","GEOID":"GSE7342","EXACT_SOURCE":"Table 1S: FC > 0","CHIP":"Mouse_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in fetal liver (days E13.5 and E15.5) samples from embryo-specific Cre-lox knockout of MAPK14 [GeneID=1432].","DESCRIPTION_FULL":"The mitogen-activated protein kinase (MAPK) p38alpha controls inflammatory responses and cell proliferation. Using mice carrying conditional Mapk14 (also known as p38alpha) alleles, we investigated its function in postnatal development and tumorigenesis. When we specifically deleted Mapk14 in the mouse embryo, fetuses developed to term but died shortly after birth, probably owing to lung dysfunction. Fetal hematopoietic cells and embryonic fibroblasts deficient in p38alpha showed increased proliferation resulting from sustained activation of the c-Jun N-terminal kinase (JNK)-c-Jun pathway. Notably, in chemical-induced liver cancer development, mice with liver-specific deletion of Mapk14 showed enhanced hepatocyte proliferation and tumor development that correlated with upregulation of the JNK-c-Jun pathway. Furthermore, inactivation of JNK or c-Jun suppressed the increased proliferation of Mapk14-deficient hepatocytes and tumor cells. These results demonstrate a new mechanism whereby p38alpha negatively regulates cell proliferation by antagonizing the JNK-c-Jun pathway in multiple cell types and in liver cancer development."}
{"STANDARD_NAME":"BALLIF_DEVELOPMENTAL_DISABILITY_P16_P12_DELETION","SYSTEMATIC_NAME":"M14238","ORGANISM":"Homo sapiens","PMID":"17704777","AUTHORS":"Ballif BC,Hornor SA,Jenkins E,Madan-Khetarpal S,Surti U,Jackson KE,Asamoah A,Brock PL,Gowans GC,Conway RL,Graham JM Jr,Medne L,Zackai EH,Shaikh TH,Geoghegan J,Selzer RR,Eis PS,Bejjani BA,Shaffer LG","EXACT_SOURCE":"Table 3S","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Candidate genes in the pericentromeric microdeletion in 16p11.2-p12.2 associated with developmental disabilities.","DESCRIPTION_FULL":"We have identified a recurrent de novo pericentromeric deletion in 16p11.2-p12.2 in four individuals with developmental disabilities by microarray-based comparative genomic hybridization analysis. The identification of common clinical features in these four individuals along with the characterization of complex segmental duplications flanking the deletion regions suggests that nonallelic homologous recombination mediated these rearrangements and that deletions in 16p11.2-p12.2 constitute a previously undescribed syndrome."}
{"STANDARD_NAME":"SCHLESINGER_METHYLATED_IN_COLON_CANCER","SYSTEMATIC_NAME":"M821","ORGANISM":"Homo sapiens","PMID":"17200670","AUTHORS":"Schlesinger Y,Straussman R,Keshet I,Farkash S,Hecht M,Zimmerman J,Eden E,Yakhini Z,Ben-Shushan E,Reubinoff BE,Bergman Y,Simon I,Cedar H","EXACT_SOURCE":"Table 1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes expressed in normal colon; they undergo down-regulation in tumors through DNA methylation.","DESCRIPTION_FULL":"Many genes associated with CpG islands undergo de novo methylation in cancer. Studies have suggested that the pattern of this modification may be partially determined by an instructive mechanism that recognizes specifically marked regions of the genome. Using chromatin immunoprecipitation analysis, here we show that genes methylated in cancer cells are specifically packaged with nucleosomes containing histone H3 trimethylated on Lys27. This chromatin mark is established on these unmethylated CpG island genes early in development and then maintained in differentiated cell types by the presence of an EZH2-containing Polycomb complex. In cancer cells, as opposed to normal cells, the presence of this complex brings about the recruitment of DNA methyl transferases, leading to de novo methylation. These results suggest that tumor-specific targeting of de novo methylation is pre-programmed by an established epigenetic system that normally has a role in marking embryonic genes for repression."}
{"STANDARD_NAME":"JIANG_CORE_DUPLICON_GENES","SYSTEMATIC_NAME":"M9416","ORGANISM":"Homo sapiens","PMID":"17922013","AUTHORS":"Jiang Z,Tang H,Ventura M,Cardone MF,Marques-Bonet T,She X,Pevzner PA,Eichler EE","EXACT_SOURCE":"Table 5S","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes mapped to core duplicons - elements shared by a majority of segmental duplication blocks.","DESCRIPTION_FULL":"Human segmental duplications are hotspots for nonallelic homologous recombination leading to genomic disorders, copy-number polymorphisms and gene and transcript innovations. The complex structure and history of these regions have precluded a global evolutionary analysis. Combining a modified A-Bruijn graph algorithm with comparative genome sequence data, we identify the origin of 4,692 ancestral duplication loci and use these to cluster 437 complex duplication blocks into 24 distinct groups. The sequence-divergence data between ancestral-derivative pairs and a comparison with the chimpanzee and macaque genome support a 'punctuated' model of evolution. Our analysis reveals that human segmental duplications are frequently organized around 'core' duplicons, which are enriched for transcripts and, in some cases, encode primate-specific genes undergoing positive selection. We hypothesize that the rapid expansion and fixation of some intrachromosomal segmental duplications during great-ape evolution has been due to the selective advantage conferred by these genes and transcripts embedded within these core duplications."}
{"STANDARD_NAME":"SCHLESINGER_METHYLATED_DE_NOVO_IN_CANCER","SYSTEMATIC_NAME":"M11288","ORGANISM":"Homo sapiens","PMID":"17200670","AUTHORS":"Schlesinger Y,Straussman R,Keshet I,Farkash S,Hecht M,Zimmerman J,Eden E,Yakhini Z,Ben-Shushan E,Reubinoff BE,Bergman Y,Simon I,Cedar H","EXACT_SOURCE":"Table 4S","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes bearing H3K27me3 mark or whose promoters are bound by the polycomb proteins SUZ12 or EED [GeneID=23512;8726]; their DNA is methylated de novo in cancer.","DESCRIPTION_FULL":"Many genes associated with CpG islands undergo de novo methylation in cancer. Studies have suggested that the pattern of this modification may be partially determined by an instructive mechanism that recognizes specifically marked regions of the genome. Using chromatin immunoprecipitation analysis, here we show that genes methylated in cancer cells are specifically packaged with nucleosomes containing histone H3 trimethylated on Lys27. This chromatin mark is established on these unmethylated CpG island genes early in development and then maintained in differentiated cell types by the presence of an EZH2-containing Polycomb complex. In cancer cells, as opposed to normal cells, the presence of this complex brings about the recruitment of DNA methyl transferases, leading to de novo methylation. These results suggest that tumor-specific targeting of de novo methylation is pre-programmed by an established epigenetic system that normally has a role in marking embryonic genes for repression."}
{"STANDARD_NAME":"GOERING_BLOOD_HDL_CHOLESTEROL_QTL_CIS","SYSTEMATIC_NAME":"M16720","ORGANISM":"Homo sapiens","PMID":"17873875","AUTHORS":"Göring HH,Curran JE,Johnson MP,Dyer TD,Charlesworth J,Cole SA,Jowett JB,Abraham LJ,Rainwater DL,Comuzzie AG,Mahaney MC,Almasy L,MacCluer JW,Kissebah AH,Collier GR,Moses EK,Blangero J","GEOID":"E-TABM-305","EXACT_SOURCE":"Table 2S","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top scoring cis-regulated QTL (quantitative trait loci) influencing blood levels of high-density lipoprotein (HDL) cholesterol.","DESCRIPTION_FULL":"Quantitative differences in gene expression are thought to contribute to phenotypic differences between individuals. We generated genome-wide transcriptional profiles of lymphocyte samples from 1,240 participants in the San Antonio Family Heart Study. The expression levels of 85% of the 19,648 detected autosomal transcripts were significantly heritable. Linkage analysis uncovered >1,000 cis-regulated transcripts at a false discovery rate of 5% and showed that the expression quantitative trait loci with the most significant linkage evidence are often located at the structural locus of a given transcript. To highlight the usefulness of this much-enlarged map of cis-regulated transcripts for the discovery of genes that influence complex traits in humans, as an example we selected high-density lipoprotein cholesterol concentration as a phenotype of clinical importance, and identified the cis-regulated vanin 1 (VNN1) gene as harboring sequence variants that influence high-density lipoprotein cholesterol concentrations."}
{"STANDARD_NAME":"GOERING_BLOOD_HDL_CHOLESTEROL_QTL_TRANS","SYSTEMATIC_NAME":"M18000","ORGANISM":"Homo sapiens","PMID":"17873875","AUTHORS":"Göring HH,Curran JE,Johnson MP,Dyer TD,Charlesworth J,Cole SA,Jowett JB,Abraham LJ,Rainwater DL,Comuzzie AG,Mahaney MC,Almasy L,MacCluer JW,Kissebah AH,Collier GR,Moses EK,Blangero J","GEOID":"E-TABM-305","EXACT_SOURCE":"Table 3S","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top scoring trans-regulated expression quantitative trait loci (eQTL) influencing blood levels of high-density lipoprotein (HDL) cholesterol.","DESCRIPTION_FULL":"Quantitative differences in gene expression are thought to contribute to phenotypic differences between individuals. We generated genome-wide transcriptional profiles of lymphocyte samples from 1,240 participants in the San Antonio Family Heart Study. The expression levels of 85% of the 19,648 detected autosomal transcripts were significantly heritable. Linkage analysis uncovered >1,000 cis-regulated transcripts at a false discovery rate of 5% and showed that the expression quantitative trait loci with the most significant linkage evidence are often located at the structural locus of a given transcript. To highlight the usefulness of this much-enlarged map of cis-regulated transcripts for the discovery of genes that influence complex traits in humans, as an example we selected high-density lipoprotein cholesterol concentration as a phenotype of clinical importance, and identified the cis-regulated vanin 1 (VNN1) gene as harboring sequence variants that influence high-density lipoprotein cholesterol concentrations."}
{"STANDARD_NAME":"KHETCHOUMIAN_TRIM24_TARGETS_UP","SYSTEMATIC_NAME":"M1399","ORGANISM":"Mus musculus","PMID":"18026104","AUTHORS":"Khetchoumian K,Teletin M,Tisserand J,Mark M,Herquel B,Ignat M,Zucman-Rossi J,Cammas F,Lerouge T,Thibault C,Metzger D,Chambon P,Losson R","GEOID":"GSE9012","EXACT_SOURCE":"Table 2S: FC > 2","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Retinoic acid-responsive genes up-regulated in hepatocellular carcinoma (HCC) samples of TRIM24 [GeneID=8805] knockout mice.","DESCRIPTION_FULL":"Hepatocellular carcinoma (HCC) is a major cause of death worldwide. Here, we provide evidence that the ligand-dependent nuclear receptor co-regulator Trim24 (also known as Tif1alpha) functions in mice as a liver-specific tumor suppressor. In Trim24-null mice, hepatocytes fail to execute proper cell cycle withdrawal during the neonatal-to-adult transition and continue to cycle in adult livers, becoming prone to a continuum of cellular alterations that progress toward metastatic HCC. Using pharmacological approaches, we show that inhibition of retinoic acid signaling markedly reduces hepatocyte proliferation in Trim24-/- mice. We further show that deletion of a single retinoic acid receptor alpha (Rara) allele in a Trim24-null background suppresses HCC development and restores wild-type expression of retinoic acid-responsive genes in the liver, thus demonstrating that in this genetic background Rara expresses an oncogenic activity correlating with a dysregulation of the retinoic acid signaling pathway. Our results not only provide genetic evidence that Trim24 and Rara co-regulate hepatocarcinogenesis in an antagonistic manner but also suggest that aberrant activation of Rara is deleterious to liver homeostasis."}
{"STANDARD_NAME":"KHETCHOUMIAN_TRIM24_TARGETS_DN","SYSTEMATIC_NAME":"M5125","ORGANISM":"Mus musculus","PMID":"18026104","AUTHORS":"Khetchoumian K,Teletin M,Tisserand J,Mark M,Herquel B,Ignat M,Zucman-Rossi J,Cammas F,Lerouge T,Thibault C,Metzger D,Chambon P,Losson R","GEOID":"GSE9012","EXACT_SOURCE":"Table 2S: FC < 1","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Retinoic acid-responsive genes down-regulated in hepatocellular carcinoma (HCC) samples of TRIM24 [GeneID=8805] knockout mice.","DESCRIPTION_FULL":"Hepatocellular carcinoma (HCC) is a major cause of death worldwide. Here, we provide evidence that the ligand-dependent nuclear receptor co-regulator Trim24 (also known as Tif1alpha) functions in mice as a liver-specific tumor suppressor. In Trim24-null mice, hepatocytes fail to execute proper cell cycle withdrawal during the neonatal-to-adult transition and continue to cycle in adult livers, becoming prone to a continuum of cellular alterations that progress toward metastatic HCC. Using pharmacological approaches, we show that inhibition of retinoic acid signaling markedly reduces hepatocyte proliferation in Trim24-/- mice. We further show that deletion of a single retinoic acid receptor alpha (Rara) allele in a Trim24-null background suppresses HCC development and restores wild-type expression of retinoic acid-responsive genes in the liver, thus demonstrating that in this genetic background Rara expresses an oncogenic activity correlating with a dysregulation of the retinoic acid signaling pathway. Our results not only provide genetic evidence that Trim24 and Rara co-regulate hepatocarcinogenesis in an antagonistic manner but also suggest that aberrant activation of Rara is deleterious to liver homeostasis."}
{"STANDARD_NAME":"OHM_METHYLATED_IN_ADULT_CANCERS","SYSTEMATIC_NAME":"M1233","ORGANISM":"Homo sapiens","PMID":"17211412","AUTHORS":"Ohm JE,McGarvey KM,Yu X,Cheng L,Schuebel KE,Cope L,Mohammad HP,Chen W,Daniel VC,Yu W,Berman DM,Jenuwein T,Pruitt K,Sharkis SJ,Watkins DN,Herman JG,Baylin SB","EXACT_SOURCE":"Table 1S","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes showing frequent DNA methylation and which are silenced in adult cancers but remain unmethylated in embryonic carcinoma and embryonic stem (ES) cells.","DESCRIPTION_FULL":"Adult cancers may derive from stem or early progenitor cells. Epigenetic modulation of gene expression is essential for normal function of these early cells but is highly abnormal in cancers, which often show aberrant promoter CpG island hypermethylation and transcriptional silencing of tumor suppressor genes and pro-differentiation factors. We find that for such genes, both normal and malignant embryonic cells generally lack the hypermethylation of DNA found in adult cancers. In embryonic stem cells, these genes are held in a 'transcription-ready' state mediated by a 'bivalent' promoter chromatin pattern consisting of the repressive mark, histone H3 methylated at Lys27 (H3K27) by Polycomb group proteins, plus the active mark, methylated H3K4. However, embryonic carcinoma cells add two key repressive marks, dimethylated H3K9 and trimethylated H3K9, both associated with DNA hypermethylation in adult cancers. We hypothesize that cell chromatin patterns and transient silencing of these important regulatory genes in stem or progenitor cells may leave these genes vulnerable to aberrant DNA hypermethylation and heritable gene silencing during tumor initiation and progression."}
{"STANDARD_NAME":"OHM_EMBRYONIC_CARCINOMA_UP","SYSTEMATIC_NAME":"M6244","ORGANISM":"Homo sapiens","PMID":"17211412","AUTHORS":"Ohm JE,McGarvey KM,Yu X,Cheng L,Schuebel KE,Cope L,Mohammad HP,Chen W,Daniel VC,Yu W,Berman DM,Jenuwein T,Pruitt K,Sharkis SJ,Watkins DN,Herman JG,Baylin SB","EXACT_SOURCE":"Fig 2a","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with a high basal transcription state in undifferentiated embryonic carcinoma cells.","DESCRIPTION_FULL":"Adult cancers may derive from stem or early progenitor cells. Epigenetic modulation of gene expression is essential for normal function of these early cells but is highly abnormal in cancers, which often show aberrant promoter CpG island hypermethylation and transcriptional silencing of tumor suppressor genes and pro-differentiation factors. We find that for such genes, both normal and malignant embryonic cells generally lack the hypermethylation of DNA found in adult cancers. In embryonic stem cells, these genes are held in a 'transcription-ready' state mediated by a 'bivalent' promoter chromatin pattern consisting of the repressive mark, histone H3 methylated at Lys27 (H3K27) by Polycomb group proteins, plus the active mark, methylated H3K4. However, embryonic carcinoma cells add two key repressive marks, dimethylated H3K9 and trimethylated H3K9, both associated with DNA hypermethylation in adult cancers. We hypothesize that cell chromatin patterns and transient silencing of these important regulatory genes in stem or progenitor cells may leave these genes vulnerable to aberrant DNA hypermethylation and heritable gene silencing during tumor initiation and progression."}
{"STANDARD_NAME":"OHM_EMBRYONIC_CARCINOMA_DN","SYSTEMATIC_NAME":"M13398","ORGANISM":"Homo sapiens","PMID":"17211412","AUTHORS":"Ohm JE,McGarvey KM,Yu X,Cheng L,Schuebel KE,Cope L,Mohammad HP,Chen W,Daniel VC,Yu W,Berman DM,Jenuwein T,Pruitt K,Sharkis SJ,Watkins DN,Herman JG,Baylin SB","EXACT_SOURCE":"Fig 2a","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with low to medium basal transcription state in undifferentiated embryonic carcinoma cells.","DESCRIPTION_FULL":"Adult cancers may derive from stem or early progenitor cells. Epigenetic modulation of gene expression is essential for normal function of these early cells but is highly abnormal in cancers, which often show aberrant promoter CpG island hypermethylation and transcriptional silencing of tumor suppressor genes and pro-differentiation factors. We find that for such genes, both normal and malignant embryonic cells generally lack the hypermethylation of DNA found in adult cancers. In embryonic stem cells, these genes are held in a 'transcription-ready' state mediated by a 'bivalent' promoter chromatin pattern consisting of the repressive mark, histone H3 methylated at Lys27 (H3K27) by Polycomb group proteins, plus the active mark, methylated H3K4. However, embryonic carcinoma cells add two key repressive marks, dimethylated H3K9 and trimethylated H3K9, both associated with DNA hypermethylation in adult cancers. We hypothesize that cell chromatin patterns and transient silencing of these important regulatory genes in stem or progenitor cells may leave these genes vulnerable to aberrant DNA hypermethylation and heritable gene silencing during tumor initiation and progression."}
{"STANDARD_NAME":"ALCALA_APOPTOSIS","SYSTEMATIC_NAME":"M16169","ORGANISM":"Homo sapiens","PMID":"17621274","AUTHORS":"Alcalá S,Klee M,Fernández J,Fleischer A,Pimentel-Muiños FX","EXACT_SOURCE":"Table 1","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes able to induce cell death in an expression cDNA library screen.","DESCRIPTION_FULL":"Functional annotation of complex genomes requires the development of novel experimental platforms with increased capacity. Here, we describe a high-throughput system designed to identify cDNAs whose overexpression induces morphologically distinct cell death modalities. The methodology incorporates two robotized steps, and relies on coexpression of library clones with GFP to reveal the morphological features presented by the dying cells. By using this system we screened 135 000 cDNA clones and obtained 90 independent molecules. Interestingly, three death categories were identified, namely; apoptotic, vacuolated and autophagic. Among the pro-apoptotic clones, we found four members of the mitochondrial carrier family: the phosphate and adenine nucleotide (type 3) transporters, and the mitochondrial carrier homologs (MTCHs) 1 and 2. Expression of these molecules induced cytochrome c release and caspase-9-dependent death. One of them, the phosphate carrier, was able to interact with members of the permeability transition pore complex ANT1 and VDAC1, and its binding to ANT1 was stabilized in the presence of apoptotic activators. Depletion of this carrier by siRNA delayed cytochrome c mobilization and apoptosis. These results attribute a previously undescribed apoptotic function to the phosphate carrier and, more generally, suggest that a common property of various mitochondrial transporters was exploited during evolution to regulate apoptosis."}
{"STANDARD_NAME":"OKAWA_NEUROBLASTOMA_1P36_31_DELETION","SYSTEMATIC_NAME":"M4786","ORGANISM":"Homo sapiens","PMID":"17667943","AUTHORS":"Okawa ER,Gotoh T,Manne J,Igarashi J,Fujita T,Silverman KA,Xhao H,Mosse YP,White PS,Brodeur GM","EXACT_SOURCE":"Table 1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes in the smallest region of deletion (SRD) in 1p36.3 area in neuroblastoma samples.","DESCRIPTION_FULL":"Neuroblastomas are characterized by 1p deletions, suggesting that a tumor suppressor gene (TSG) resides in this region. We have mapped the smallest region of deletion (SRD) to a 2 Mb region of 1p36.31 using microsatellite and single nucleotide polymorphisms. We have identified 23 genes in this region, and we have analysed these genes for mutations and RNA expression patterns to identify candidate TSGs. We sequenced the coding exons of these genes in 30 neuroblastoma cell lines. Although rare mutations were found in 10 of the 23 genes, none showed a pattern of genetic change consistent with homozygous inactivation. We examined the expression of these 23 genes in 20 neuroblastoma cell lines, and most showed readily detectable expression, and no correlation with 1p deletion. However, 7 genes showed uniformly low expression in the lines, and 2 genes (CHD5, RNF207) had virtually absent expression, consistent with the expected pattern for a TSG. Our mutation and expression analysis in neuroblastoma cell lines, combined with expression analysis in normal tissues, putative function and prior implication in neuroblastoma pathogenesis, suggests that the most promising TSG deleted from the 1p36 SRD is CHD5, but TNFRSF25, CAMTA1 and AJAP1 are also viable candidates."}
{"STANDARD_NAME":"COWLING_MYCN_TARGETS","SYSTEMATIC_NAME":"M16692","ORGANISM":"Homo sapiens","PMID":"17704800","AUTHORS":"Cowling VH,Cole MD","EXACT_SOURCE":"Table 1S","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated by MYCN [GeneID=4613] but not by its transactivation-defficient, trunkated form N-Myc-delta-73.","DESCRIPTION_FULL":"Myc promotes both normal cell proliferation and oncogenic transformation through the activation and repression of target genes. The c-Myc-S protein is a truncated form of c-Myc that is produced in some cells from translation initiation at an internal AUG codon. We report that c-Myc-S and a similar truncated form of N-MycWT can fully rescue the proliferation defect in myc-null fibroblasts, but rescue is dependent on the highly conserved Myc homology box II (MBII). Global gene expression studies show that the N-Myc equivalent of c-Myc-S is defective for virtually all transcriptional activation of Myc target genes but remains active for the majority of transcriptional repression. Repression by Myc-S is dependent on MBII, but it does not bind to several known nuclear cofactors. These data suggest that repression by Myc involves recruitment of a novel MBII-dependent cofactor."}
{"STANDARD_NAME":"FALVELLA_SMOKERS_WITH_LUNG_CANCER","SYSTEMATIC_NAME":"M18536","ORGANISM":"Homo sapiens","PMID":"17724461","AUTHORS":"Falvella FS,Spinola M,Pignatiello C,Noci S,Conti B,Pastorino U,Carbone A,Dragani TA","EXACT_SOURCE":"Table 2","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes that distinguish normal from cancer (lung adenocarcinoma) samples and smokers from non-smoking subjects.","DESCRIPTION_FULL":"Evidence in animal models has suggested an association between susceptibility to lung tumorigenesis and gene-expression profiles in normal lung. Here, we compared RNA pools from normal lung tissue of lung adenocarcinoma patients (cases) or non-lung cancer patients (controls) by hybridization of whole-human genome expression arrays. Principal component analysis identified a gene-expression signature of 85 genes that distinguishes cases from controls as well as smokers from nonsmokers. Elevated mRNA levels of one of these genes, AZGP1, were significantly associated with disease status. These results support the hypothesis that differences in the gene-expression levels of the normal tissue may be predictive of genetic predisposition to lung cancer in humans."}
{"STANDARD_NAME":"OZEN_MIR125B1_TARGETS","SYSTEMATIC_NAME":"M15122","ORGANISM":"Homo sapiens","PMID":"17891175","AUTHORS":"Ozen M,Creighton CJ,Ozdemir M,Ittmann M","EXACT_SOURCE":"Table 1","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Potential targets of MIR125B1 [GeneID=406911] microRNA which are up-regulated in prostate cancer.","DESCRIPTION_FULL":"MicroRNAs (miRNAs) are small regulatory RNAs that can regulate gene expression by binding to mRNA sequences and repressing target-gene expression post-transcriptionally, either by inhibiting translation or promoting RNA degradation. We have analysed expression of 328 known and 152 novel human miRNAs in 10 benign peripheral zone tissues and 16 prostate cancer tissues using microarrays and found widespread, but not universal, downregulation of miRNAs in clinically localized prostate cancer relative to benign peripheral zone tissue. These findings have been verified by real-time RT-PCR assays on select miRNAs, including miR-125b, miR-145 and let-7c. The downregulated miRNAs include several with proven target mRNAs whose proteins have been previously shown to be increased in prostate cancer by immunohistochemistry, including RAS, E2F3, BCL-2 and MCL-1. Using a bioinformatics approach, we have identified additional potential mRNA targets of one of the miRNAs, (miR-125b) that are upregulated in prostate cancer and confirmed increased expression of one of these targets, EIF4EBP1, in prostate cancer tissues. Our findings indicate that changes in miRNA expression may have an important role in the biology of human prostate cancer."}
{"STANDARD_NAME":"GALIE_TUMOR_STEMNESS_GENES","SYSTEMATIC_NAME":"M1295","ORGANISM":"Mus musculus","PMID":"17998939","AUTHORS":"Galiè M,Konstantinidou G,Peroni D,Scambi I,Marchini C,Lisi V,Krampera M,Magnani P,Merigo F,Montani M,Boschi F,Marzola P,Orrù R,Farace P,Sbarbati A,Amici A","EXACT_SOURCE":"Table 4","CHIP":"Mouse_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Stemness-related genes changed in A17 carcinomas (MTC, mesenchymal tumor cells) compared with the mesenchymal stem cells (MSC).","DESCRIPTION_FULL":"Tumor microenvironment in carcinomas recruits mesenchymal cells with an abnormal proangiogenic and invasive phenotype. It is not clear whether mesenchymal tumor cells (MTCs) derive from the activation of mature fibroblasts or from their stem cell precursors. However, stromal cell activation in tumors resembles in several aspects the mesenchymal rearrangement which normally occurs during reparative processes such as wound healing. Mesenchymal stem cells (MSCs) play a crucial role in developmental and reparative processes and have extraordinary proangiogenic potential, on the basis of which they are thought to show great promise for the treatment of ischemic disorders. Here, we show that MTCs have proangiogenic potential and that they share the transcriptional expression of the best-known proangiogenic factors with MSCs. We also found that MTCs and MSCs have the same molecular signature for stemness-related genes, and that when co-implanted with cancer cells in syngeneic animals MSCs determine early tumor appearance, probably by favoring the angiogenic switch. Our data (1) reveal crucial aspects of the proangiogenic phenotype of MTCs, (2) strongly suggest their stem origin and (3) signal the risk of therapeutic use of MSCs in tumor-promoting conditions."}
{"STANDARD_NAME":"KAUFFMANN_MELANOMA_RELAPSE_DN","SYSTEMATIC_NAME":"M6452","ORGANISM":"Homo sapiens","PMID":"17891185","AUTHORS":"Kauffmann A,Rosselli F,Lazar V,Winnepenninckx V,Mansuet-Lupo A,Dessen P,van den Oord JJ,Spatz A,Sarasin A","GEOID":"E-TABM-2,E-TABM-1","EXACT_SOURCE":"Table 1: M- > M+","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"DNA repair and replication genes down-regulated in melanoma patients who will relapse vs patients who will not.","DESCRIPTION_FULL":"We have identified a gene-profile signature for human primary malignant melanoma associated with metastasis to distant sites and poor prognosis. We analyse the differential gene expression by looking at whole biological pathways rather than individual genes. Among the most significant pathways associated with progression to metastasis, we found the DNA replication (P=10(-14)) and the DNA repair pathways (P=10(-16)). We concentrated our analysis on DNA repair and found that 48 genes of this category, among a list of 234 genes, are associated with metastatic progression. These genes belong essentially to the pathways allowing recovery of stalled replication forks due to spontaneous blockage or induced DNA lesions. Because almost all these differentially expressed repair genes were overexpressed in primary tumors with bad prognosis, we speculate that primary melanoma cells that will metastasize try to replicate in a fast and error-free mode. In contrast to the progression from melanocytes to primary melanoma, genetic stability appears to be necessary for a melanoma cell to give rise to distant metastasis. This overexpression of repair genes explains nicely the extraordinary resistance of metastatic melanoma to chemo- and radio-therapy. Our results may open a new avenue for the discovery of drugs active on human metastatic melanoma."}
{"STANDARD_NAME":"WILLIAMS_ESR1_TARGETS_DN","SYSTEMATIC_NAME":"M10196","ORGANISM":"Homo sapiens","PMID":"17700529","AUTHORS":"Williams C,Edvardsson K,Lewandowski SA,Ström A,Gustafsson JA","GEOID":"E-MEXP-969","EXACT_SOURCE":"Table 1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"The 'ER-alpha profile': genes down-regulated in T47D cells (breast cancer, ESR2 [GeneID=2100] Tet-Off) upon activation of ESR1 [GeneID=2099] by estradiol (E2) [PubChem=5757].","DESCRIPTION_FULL":"Transcriptional effects of estrogen result from its activation of two estrogen receptor (ER) isoforms; ERalpha that drives proliferation and ERbeta that is antiproliferative. Expression of ERbeta in xenograft tumors from the T47D breast cancer cell line reduces tumor growth and angiogenesis. If ERbeta can halt tumor growth, its introduction into cancers may be a novel therapeutic approach to the treatment of estrogen-responsive cancers. To assess the complete impact of ERbeta on transcription, we have made a full transcriptome analysis of ERalpha- and ERbeta-mediated gene regulation in T47D cell line with Tet-Off regulated ERbeta expression. Of the 35 000 genes and transcripts analysed, 4.1% (1434) were altered by ERalpha activation. Tet withdrawal and subsequent ERbeta expression inhibited the ERalpha regulation of 998 genes and, in addition, altered expression of 152 non-ERalpha-regulated genes. ERalpha-induced and ERbeta-repressed genes were involved in proliferation, steroid/xenobiotic metabolism and ion transport. The ERbeta repressive effect was further confirmed by proliferation assays, where ERbeta was shown to completely oppose the ERalpha-E2 induced proliferation. Additional analysis of ERbeta with a mutated DNA-binding domain revealed that this mutant, at least for a quantity of genes, antagonizes ERalpha even more strongly than ERbeta wt. From an examination of the genes regulated by ERalpha and ERbeta, we suggest that introduction of ERbeta may be an alternative therapeutic approach to the treatment of certain cancers."}
{"STANDARD_NAME":"WILLIAMS_ESR2_TARGETS_UP","SYSTEMATIC_NAME":"M18326","ORGANISM":"Homo sapiens","PMID":"17700529","AUTHORS":"Williams C,Edvardsson K,Lewandowski SA,Ström A,Gustafsson JA","GEOID":"E-MEXP-969","EXACT_SOURCE":"Table 3","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes uniquely up-regulated in T47D cells (breast cancer) by induction of ESR2 [GeneID=2100] expression in the Tet-Off system.","DESCRIPTION_FULL":"Transcriptional effects of estrogen result from its activation of two estrogen receptor (ER) isoforms; ERalpha that drives proliferation and ERbeta that is antiproliferative. Expression of ERbeta in xenograft tumors from the T47D breast cancer cell line reduces tumor growth and angiogenesis. If ERbeta can halt tumor growth, its introduction into cancers may be a novel therapeutic approach to the treatment of estrogen-responsive cancers. To assess the complete impact of ERbeta on transcription, we have made a full transcriptome analysis of ERalpha- and ERbeta-mediated gene regulation in T47D cell line with Tet-Off regulated ERbeta expression. Of the 35 000 genes and transcripts analysed, 4.1% (1434) were altered by ERalpha activation. Tet withdrawal and subsequent ERbeta expression inhibited the ERalpha regulation of 998 genes and, in addition, altered expression of 152 non-ERalpha-regulated genes. ERalpha-induced and ERbeta-repressed genes were involved in proliferation, steroid/xenobiotic metabolism and ion transport. The ERbeta repressive effect was further confirmed by proliferation assays, where ERbeta was shown to completely oppose the ERalpha-E2 induced proliferation. Additional analysis of ERbeta with a mutated DNA-binding domain revealed that this mutant, at least for a quantity of genes, antagonizes ERalpha even more strongly than ERbeta wt. From an examination of the genes regulated by ERalpha and ERbeta, we suggest that introduction of ERbeta may be an alternative therapeutic approach to the treatment of certain cancers."}
{"STANDARD_NAME":"WILLIAMS_ESR2_TARGETS_DN","SYSTEMATIC_NAME":"M5714","ORGANISM":"Homo sapiens","PMID":"17700529","AUTHORS":"Williams C,Edvardsson K,Lewandowski SA,Ström A,Gustafsson JA","GEOID":"E-MEXP-969","EXACT_SOURCE":"Table 3","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes uniquely down-regulated in T47D cells (breast cancer) by induction of ESR2 [GeneID=2100] expression in the Tet-Off system.","DESCRIPTION_FULL":"Transcriptional effects of estrogen result from its activation of two estrogen receptor (ER) isoforms; ERalpha that drives proliferation and ERbeta that is antiproliferative. Expression of ERbeta in xenograft tumors from the T47D breast cancer cell line reduces tumor growth and angiogenesis. If ERbeta can halt tumor growth, its introduction into cancers may be a novel therapeutic approach to the treatment of estrogen-responsive cancers. To assess the complete impact of ERbeta on transcription, we have made a full transcriptome analysis of ERalpha- and ERbeta-mediated gene regulation in T47D cell line with Tet-Off regulated ERbeta expression. Of the 35 000 genes and transcripts analysed, 4.1% (1434) were altered by ERalpha activation. Tet withdrawal and subsequent ERbeta expression inhibited the ERalpha regulation of 998 genes and, in addition, altered expression of 152 non-ERalpha-regulated genes. ERalpha-induced and ERbeta-repressed genes were involved in proliferation, steroid/xenobiotic metabolism and ion transport. The ERbeta repressive effect was further confirmed by proliferation assays, where ERbeta was shown to completely oppose the ERalpha-E2 induced proliferation. Additional analysis of ERbeta with a mutated DNA-binding domain revealed that this mutant, at least for a quantity of genes, antagonizes ERalpha even more strongly than ERbeta wt. From an examination of the genes regulated by ERalpha and ERbeta, we suggest that introduction of ERbeta may be an alternative therapeutic approach to the treatment of certain cancers."}
{"STANDARD_NAME":"GROSS_ELK3_TARGETS_UP","SYSTEMATIC_NAME":"M1298","ORGANISM":"Mus musculus","PMID":"17704799","AUTHORS":"Gross C,Dubois-Pot H,Wasylyk B","EXACT_SOURCE":"Table 1S: Fold Change > 0","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in SEND cells (skin endothelium) at normal oxygen (normoxia) conditions after knockdown of ELK3 [GeneID=2004] by RNAi.","DESCRIPTION_FULL":"The ternary complex factor Net/Elk3 is downregulated in hypoxia and participates in the induction by hypoxia of several genes, including c-fos, vascular endothelial growth factor and egr-1. However, the global role of Net in hypoxia remains to be elucidated. We have identified, in a large-scale analysis of RNA expression using microarrays, more than 370 genes that are regulated by Net in hypoxia. In order to gain insights into the role of Net in hypoxia, we have analysed in parallel the genes regulated by HIF-1alpha, the classical factor involved in the response to hypoxia. We identified about 190 genes that are regulated by HIF-1alpha in hypoxia. Surprisingly, when we compare the genes induced by hypoxia that require either Net or HIF-1alpha, the majority are the same (75%), suggesting that the functions of both factors are closely linked. Interestingly, in hypoxia, Net regulates the expression of several genes known to control HIF-1alpha stability, including PHD2, PHD3 and Siah2, suggesting that Net regulates the stability of HIF-1alpha. We found that inhibition of Net by RNAi leads to decreased HIF-1alpha expression at the protein level in hypoxia. These results indicate that Net participates in the transcriptional response to hypoxia by regulation of HIF-1alpha protein stability."}
{"STANDARD_NAME":"GROSS_HIF1A_TARGETS_UP","SYSTEMATIC_NAME":"M1306","ORGANISM":"Mus musculus","PMID":"17704799","AUTHORS":"Gross C,Dubois-Pot H,Wasylyk B","EXACT_SOURCE":"Table 3S: Fold Change > 0","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in SEND cells (skin endothelium) at normal oxygen (normoxia) conditions after knockdown of HIF1A [GeneID=3091] by RNAi.","DESCRIPTION_FULL":"The ternary complex factor Net/Elk3 is downregulated in hypoxia and participates in the induction by hypoxia of several genes, including c-fos, vascular endothelial growth factor and egr-1. However, the global role of Net in hypoxia remains to be elucidated. We have identified, in a large-scale analysis of RNA expression using microarrays, more than 370 genes that are regulated by Net in hypoxia. In order to gain insights into the role of Net in hypoxia, we have analysed in parallel the genes regulated by HIF-1alpha, the classical factor involved in the response to hypoxia. We identified about 190 genes that are regulated by HIF-1alpha in hypoxia. Surprisingly, when we compare the genes induced by hypoxia that require either Net or HIF-1alpha, the majority are the same (75%), suggesting that the functions of both factors are closely linked. Interestingly, in hypoxia, Net regulates the expression of several genes known to control HIF-1alpha stability, including PHD2, PHD3 and Siah2, suggesting that Net regulates the stability of HIF-1alpha. We found that inhibition of Net by RNAi leads to decreased HIF-1alpha expression at the protein level in hypoxia. These results indicate that Net participates in the transcriptional response to hypoxia by regulation of HIF-1alpha protein stability."}
{"STANDARD_NAME":"GROSS_HYPOXIA_VIA_ELK3_ONLY_UP","SYSTEMATIC_NAME":"M1313","ORGANISM":"Mus musculus","PMID":"17704799","AUTHORS":"Gross C,Dubois-Pot H,Wasylyk B","EXACT_SOURCE":"Table 5S: FC siNetH / FC siNetN > 0","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes specifically up-regulated in SEND cells (skin endothelium) at hypoxia after knockdown of ELK3 [GeneID=2004] by RNAi.","DESCRIPTION_FULL":"The ternary complex factor Net/Elk3 is downregulated in hypoxia and participates in the induction by hypoxia of several genes, including c-fos, vascular endothelial growth factor and egr-1. However, the global role of Net in hypoxia remains to be elucidated. We have identified, in a large-scale analysis of RNA expression using microarrays, more than 370 genes that are regulated by Net in hypoxia. In order to gain insights into the role of Net in hypoxia, we have analysed in parallel the genes regulated by HIF-1alpha, the classical factor involved in the response to hypoxia. We identified about 190 genes that are regulated by HIF-1alpha in hypoxia. Surprisingly, when we compare the genes induced by hypoxia that require either Net or HIF-1alpha, the majority are the same (75%), suggesting that the functions of both factors are closely linked. Interestingly, in hypoxia, Net regulates the expression of several genes known to control HIF-1alpha stability, including PHD2, PHD3 and Siah2, suggesting that Net regulates the stability of HIF-1alpha. We found that inhibition of Net by RNAi leads to decreased HIF-1alpha expression at the protein level in hypoxia. These results indicate that Net participates in the transcriptional response to hypoxia by regulation of HIF-1alpha protein stability."}
{"STANDARD_NAME":"INGRAM_SHH_TARGETS_UP","SYSTEMATIC_NAME":"M1320","ORGANISM":"Mus musculus","PMID":"17873912","AUTHORS":"Ingram WJ,McCue KI,Tran TH,Hallahan AR,Wainwright BJ","EXACT_SOURCE":"Table AS","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in 10T1/2 cells (multipotent mesoderma) by expression of SHH [GeneID=6469].","DESCRIPTION_FULL":"Aberrant regulation of signalling mechanisms that normally orchestrate embryonic development, such as the Hedgehog, Wnt and Notch pathways, is a common feature of tumorigenesis. In order to better understand the neoplastic events mediated by Hedgehog signalling, we identified over 200 genes regulated by Sonic Hedgehog in multipotent mesodermal cells. Widespread crosstalk with other developmental signalling pathways is evident, suggesting a complex network of interactions that challenges the often over-simplistic representation of these pathways as simple linear entities. Hes1, a principal effector of the Notch pathway, was found to be a target of Sonic Hedgehog in both C3H/10T1/2 mesodermal and MNS70 neural cells. Desert Hedgehog also elicited a strong Hes1 response. While Smoothened function was found necessary for upregulation of Hes1 in response to Sonic Hedgehog, the mechanism does not require gamma-secretase-mediated cleavage of Notch receptors, and appears to involve transcription factors other than RBP-Jkappa. Thus, we have defined a novel mechanism for Hes1 regulation in stem-like cells that is independent of canonical Notch signalling."}
{"STANDARD_NAME":"INGRAM_SHH_TARGETS_DN","SYSTEMATIC_NAME":"M1322","ORGANISM":"Mus musculus","PMID":"17873912","AUTHORS":"Ingram WJ,McCue KI,Tran TH,Hallahan AR,Wainwright BJ","EXACT_SOURCE":"Table BS","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in 10T1/2 cells (multipotent mesoderma) by expression of SHH [GeneID=6469].","DESCRIPTION_FULL":"Aberrant regulation of signalling mechanisms that normally orchestrate embryonic development, such as the Hedgehog, Wnt and Notch pathways, is a common feature of tumorigenesis. In order to better understand the neoplastic events mediated by Hedgehog signalling, we identified over 200 genes regulated by Sonic Hedgehog in multipotent mesodermal cells. Widespread crosstalk with other developmental signalling pathways is evident, suggesting a complex network of interactions that challenges the often over-simplistic representation of these pathways as simple linear entities. Hes1, a principal effector of the Notch pathway, was found to be a target of Sonic Hedgehog in both C3H/10T1/2 mesodermal and MNS70 neural cells. Desert Hedgehog also elicited a strong Hes1 response. While Smoothened function was found necessary for upregulation of Hes1 in response to Sonic Hedgehog, the mechanism does not require gamma-secretase-mediated cleavage of Notch receptors, and appears to involve transcription factors other than RBP-Jkappa. Thus, we have defined a novel mechanism for Hes1 regulation in stem-like cells that is independent of canonical Notch signalling."}
{"STANDARD_NAME":"MARTIN_NFKB_TARGETS_UP","SYSTEMATIC_NAME":"M1325","ORGANISM":"Mus musculus","PMID":"17934524","AUTHORS":"Martin D,Galisteo R,Ji Y,Montaner S,Gutkind JS","EXACT_SOURCE":"Table 2A","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"NF-kB-controlled genes up-regulated in endothelial cells in response to viral GPCR protein.","DESCRIPTION_FULL":"Kaposi's sarcoma (KS) is the most frequent AIDS-associated malignancy, etiologically linked to the infection with the human herpesvirus 8 (HHV-8/KSHV). This member of the gamma-herpesviridae family encodes 81 open reading frames, several bearing oncogenic potential. A constitutively active virally encoded G protein-coupled receptor (vGPCR) readily induces KS-like lesions when expressed in endothelial cells in vivo, and unmasks the oncogenic potential of other HHV-8 genes in a paracrine fashion. How vGPCR causes endothelial cell transformation is still not fully understood. Using full-genome microarray analysis we show here that the expression of nuclear factor-kappaB (NF-kappaB)-regulated genes is a prominent feature triggered by vGPCR in cells expressing this viral oncogene and in cells exposed to vGPCR-induced secretions, thus mimicking its paracrine effect. Indeed, vGPCR activates the NF-kappaB pathway potently, and NF-kappaB activation is a hallmark of both human and experimental KS. Of interest, whereas constitutive NF-kappaB signaling is not sufficient to promote endothelial cells transformation, NF-kappaB function is strictly required for vGPCR-induced direct and paracrine neoplasia. Taken together, these results strongly support the role of NF-kappaB regulated genes in KS pathogenesis, thus providing the rationale for the development of novel mechanism-based therapies for this angioproliferative disease."}
{"STANDARD_NAME":"MARTIN_NFKB_TARGETS_DN","SYSTEMATIC_NAME":"M1326","ORGANISM":"Mus musculus","PMID":"17934524","AUTHORS":"Martin D,Galisteo R,Ji Y,Montaner S,Gutkind JS","EXACT_SOURCE":"Table 2B","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"NF-kB-controlled genes down-regulated in endothelial cells in response to viral GPCR protein.","DESCRIPTION_FULL":"Kaposi's sarcoma (KS) is the most frequent AIDS-associated malignancy, etiologically linked to the infection with the human herpesvirus 8 (HHV-8/KSHV). This member of the gamma-herpesviridae family encodes 81 open reading frames, several bearing oncogenic potential. A constitutively active virally encoded G protein-coupled receptor (vGPCR) readily induces KS-like lesions when expressed in endothelial cells in vivo, and unmasks the oncogenic potential of other HHV-8 genes in a paracrine fashion. How vGPCR causes endothelial cell transformation is still not fully understood. Using full-genome microarray analysis we show here that the expression of nuclear factor-kappaB (NF-kappaB)-regulated genes is a prominent feature triggered by vGPCR in cells expressing this viral oncogene and in cells exposed to vGPCR-induced secretions, thus mimicking its paracrine effect. Indeed, vGPCR activates the NF-kappaB pathway potently, and NF-kappaB activation is a hallmark of both human and experimental KS. Of interest, whereas constitutive NF-kappaB signaling is not sufficient to promote endothelial cells transformation, NF-kappaB function is strictly required for vGPCR-induced direct and paracrine neoplasia. Taken together, these results strongly support the role of NF-kappaB regulated genes in KS pathogenesis, thus providing the rationale for the development of novel mechanism-based therapies for this angioproliferative disease."}
{"STANDARD_NAME":"MARTIN_VIRAL_GPCR_SIGNALING_UP","SYSTEMATIC_NAME":"M1327","ORGANISM":"Mus musculus","PMID":"17934524","AUTHORS":"Martin D,Galisteo R,Ji Y,Montaner S,Gutkind JS","EXACT_SOURCE":"Table S1A","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Up-regulated genes in the expression signature of direct and paracrine viral GPCR signaling in endothelial cells.","DESCRIPTION_FULL":"Kaposi's sarcoma (KS) is the most frequent AIDS-associated malignancy, etiologically linked to the infection with the human herpesvirus 8 (HHV-8/KSHV). This member of the gamma-herpesviridae family encodes 81 open reading frames, several bearing oncogenic potential. A constitutively active virally encoded G protein-coupled receptor (vGPCR) readily induces KS-like lesions when expressed in endothelial cells in vivo, and unmasks the oncogenic potential of other HHV-8 genes in a paracrine fashion. How vGPCR causes endothelial cell transformation is still not fully understood. Using full-genome microarray analysis we show here that the expression of nuclear factor-kappaB (NF-kappaB)-regulated genes is a prominent feature triggered by vGPCR in cells expressing this viral oncogene and in cells exposed to vGPCR-induced secretions, thus mimicking its paracrine effect. Indeed, vGPCR activates the NF-kappaB pathway potently, and NF-kappaB activation is a hallmark of both human and experimental KS. Of interest, whereas constitutive NF-kappaB signaling is not sufficient to promote endothelial cells transformation, NF-kappaB function is strictly required for vGPCR-induced direct and paracrine neoplasia. Taken together, these results strongly support the role of NF-kappaB regulated genes in KS pathogenesis, thus providing the rationale for the development of novel mechanism-based therapies for this angioproliferative disease."}
{"STANDARD_NAME":"MARTIN_VIRAL_GPCR_SIGNALING_DN","SYSTEMATIC_NAME":"M1330","ORGANISM":"Mus musculus","PMID":"17934524","AUTHORS":"Martin D,Galisteo R,Ji Y,Montaner S,Gutkind JS","EXACT_SOURCE":"Table S1B","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Down-regulated genes in the expression signature of direct and paracrine viral GPCR signaling in endothelial cells.","DESCRIPTION_FULL":"Kaposi's sarcoma (KS) is the most frequent AIDS-associated malignancy, etiologically linked to the infection with the human herpesvirus 8 (HHV-8/KSHV). This member of the gamma-herpesviridae family encodes 81 open reading frames, several bearing oncogenic potential. A constitutively active virally encoded G protein-coupled receptor (vGPCR) readily induces KS-like lesions when expressed in endothelial cells in vivo, and unmasks the oncogenic potential of other HHV-8 genes in a paracrine fashion. How vGPCR causes endothelial cell transformation is still not fully understood. Using full-genome microarray analysis we show here that the expression of nuclear factor-kappaB (NF-kappaB)-regulated genes is a prominent feature triggered by vGPCR in cells expressing this viral oncogene and in cells exposed to vGPCR-induced secretions, thus mimicking its paracrine effect. Indeed, vGPCR activates the NF-kappaB pathway potently, and NF-kappaB activation is a hallmark of both human and experimental KS. Of interest, whereas constitutive NF-kappaB signaling is not sufficient to promote endothelial cells transformation, NF-kappaB function is strictly required for vGPCR-induced direct and paracrine neoplasia. Taken together, these results strongly support the role of NF-kappaB regulated genes in KS pathogenesis, thus providing the rationale for the development of novel mechanism-based therapies for this angioproliferative disease."}
{"STANDARD_NAME":"FERREIRA_EWINGS_SARCOMA_UNSTABLE_VS_STABLE_DN","SYSTEMATIC_NAME":"M11984","ORGANISM":"Homo sapiens","PMID":"17952124","AUTHORS":"Ferreira BI,Alonso J,Carrillo J,Acquadro F,Largo C,Suela J,Teixeira MR,Cerveira N,Molares A,Goméz-López G,Pestaña A,Sastre A,Garcia-Miguel P,Cigudosa JC","GEOID":"GSE8398,GSE8303","EXACT_SOURCE":"Table 3S","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in genomically unstable Ewing's sarcoma tumors compared to the stable ones.","DESCRIPTION_FULL":"Ewing's sarcoma (ES) is characterized by specific chromosome translocations, the most common being t(11;22)(q24;q12). Additionally, other type of genetic abnormalities may occur and be relevant for explaining the variable tumour biology and clinical outcome. We have carried out a high-resolution array CGH and expression profiling on 25 ES tumour samples to characterize the DNA copy number aberrations (CNA) occurring in these tumours and determine their association with gene-expression profiles and clinical outcome. CNA were observed in 84% of the cases. We observed a median number of three aberrations per case. Besides numerical chromosome changes, smaller aberrations were found and defined at chromosomes 5p, 7q and 9p. All CNA were compiled to define the smallest overlapping regions of imbalance (SORI). A total of 35 SORI were delimited. Bioinformatics analyses were conducted to identify subgroups according to the pattern of genomic instability. Unsupervised and supervised clustering analysis (using SORI as variables) segregated the tumours in two distinct groups: one genomically stable (< or =3 CNA) and other genomically unstable (>3 CNA). The genomic unstable group showed a statistically significant shorter overall survival and was more refractory to chemotherapy. Expression profile analysis revealed significant differences between both groups. Genes related with chromosome segregation, DNA repair pathways and cell-cycle control were upregulated in the genomically unstable group. This report elucidates, for the first time, data about genomic instability in ES, based on CNA and expression profiling, and shows that a genomically unstable group of Ewing's tumours is correlated with a significant poor prognosis."}
{"STANDARD_NAME":"NAKAYAMA_FRA2_TARGETS","SYSTEMATIC_NAME":"M3782","ORGANISM":"Homo sapiens","PMID":"18071306","AUTHORS":"Nakayama T,Hieshima K,Arao T,Jin Z,Nagakubo D,Shirakawa AK,Yamada Y,Fujii M,Oiso N,Kawada A,Nishio K,Yoshie O","GEOID":"GSE6379","EXACT_SOURCE":"Fig 6a","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in ST1 cells (adult T-cell leukemia, ATL) after knockdown of FRA2 [GeneID=2355] by RNAi.","DESCRIPTION_FULL":"Adult T-cell leukemia (ATL) is a mature CD4+ T-cell malignancy etiologically associated with human T-cell leukemia virus type 1 (HTLV-1). Primary ATL cells frequently express CCR4 at high levels. Since HTLV-1 Tax does not induce CCR4 expression, transcription factor(s) constitutively active in ATL may be responsible for its strong expression. We identified an activator protein-1 (AP-1) site in the CCR4 promoter as the major positive regulatory element in ATL cells. Among the AP-1 family members, Fra-2, JunB and JunD are highly expressed in fresh primary ATL cells. Consistently, the Fra-2/JunB and Fra-2/JunD heterodimers strongly activated the CCR4 promoter in Jurkat cells. Furthermore, Fra-2 small interfering RNA (siRNA) or JunD siRNA, but not JunB siRNA, effectively reduced CCR4 expression and cell growth in ATL cells. Conversely, Fra-2 or JunD overexpression promoted cell growth in Jurkat cells. We identified 49 genes, including c-Myb, BCL-6 and MDM2, which were downregulated by Fra-2 siRNA in ATL cells. c-Myb, BCL-6 and MDM2 were also downregulated by JunD siRNA. As Fra-2, these proto-oncogenes were highly expressed in primary ATL cells but not in normal CD4+ T cells. Collectively, aberrantly expressed Fra-2 in association with JunD may play a major role in CCR4 expression and oncogenesis in ATL."}
{"STANDARD_NAME":"LOPEZ_MBD_TARGETS_IMPRINTED_AND_X_LINKED","SYSTEMATIC_NAME":"M4324","ORGANISM":"Homo sapiens","PMID":"18223687","AUTHORS":"Lopez-Serra L,Ballestar E,Ropero S,Setien F,Billard LM,Fraga MF,Lopez-Nieva P,Alaminos M,Guerrero D,Dante R,Esteller M","EXACT_SOURCE":"Table 2S","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"X chromosome and imprinted genes up-regulated in HeLa cells (cervical cancer) after knockdown of the MBD (methyl-CpG binding domain) proteins by RNAi.","DESCRIPTION_FULL":"Methyl-cytosine-phosphate-guanine (CpG)-binding domain (MBD) proteins are bound to hypermethylated promoter CpG islands of tumor suppressor genes in human cancer cells, although a direct causal relationship at the genome-wide level between MBD presence and gene silencing remains to be demonstrated. To this end, we have inhibited the expression of MBD proteins in HeLa cells by short hairpin RNAs; and studied the functional consequences of MBD depletion using microarray-based expression analysis in conjunction with extensive bisulfite genomic sequencing and chromatin immunoprecipitation. The removal of MBDs results in a release of gene silencing associated with a loss of MBD occupancy in 5'-CpG islands without any change in the DNA methylation pattern. Our results unveil new targets for epigenetic inactivation mediated by MBDs in transformed cells, such as the cell adhesion protein gamma-parvin and the fibroblast growth factor 19, where we also demonstrate their bona fide tumor suppressor features. Our data support a fundamental role for MBD proteins in the direct maintenance of transcriptional repression of tumor suppressors and identify new candidate genes for epigenetic disruption in cancer cells."}
{"STANDARD_NAME":"ROPERO_HDAC2_TARGETS","SYSTEMATIC_NAME":"M8759","ORGANISM":"Homo sapiens","PMID":"18264134","AUTHORS":"Ropero S,Ballestar E,Alaminos M,Arango D,Schwartz S Jr,Esteller M","EXACT_SOURCE":"Table 1S","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated genes in cell lines with HDAC2 [GeneID=3066] loss of function (LOS).","DESCRIPTION_FULL":"Although disruption of histone modification patterns is a common hallmark of human cancer, our knowledge of the mechanistic role of histone-modifying enzymes in its generation is very limited. We have recently identified an inactivating mutation in the histone deacetylase-2 (HDAC2) in sporadic carcinomas with microsatellite instability and in tumors arising in individuals with hereditary nonpolyposis colorectal cancer syndrome. Since HDAC2 seems to be a central player in epigenetic gene repression, we wondered whether HDAC2-truncating mutations conferred a particular expression signature on these cancer cells. Using unsupervised clustering analysis in microsatellite-unstable colorectal cancer cell lines, we have found that HDAC2 mutant cells (RKO and Co115) show a characteristically different expression microarray signature from HDAC2 wild-type cells (HCT-116, SW48, HCT-15 and LoVo). HDAC2 mutant cells exhibit upregulation of tumor-promoting genes, such as those of tyrosine kinases, mediators of cell cycle progression and angiogenic factors. The overexpression of these genes is associated with a loss of HDAC2 recruitment and a gain of histone H4 hyperacetylation in their particular 5'-end promoters, as observed by chromatin immunoprecipitation. Transfection of wild-type HDAC2 in mutant cells reverted this epigenetic pattern by repressing the transforming genes in association with HDAC2 promoter occupancy. These results suggest a role for HDAC2 mutations in human tumorigenesis through the derepression of key genes from multiple cellular transformation pathways."}
{"STANDARD_NAME":"GOUYER_TUMOR_INVASIVENESS","SYSTEMATIC_NAME":"M13965","ORGANISM":"Homo sapiens","PMID":"18317448","AUTHORS":"Gouyer V,Fontaine D,Dumont P,de Wever O,Fontayne-Devaud H,Leteurtre E,Truant S,Delacour D,Drobecq H,Kerckaert JP,de Launoit Y,Bracke M,Gespach C,Desseyn JL,Huet G","EXACT_SOURCE":"Table 1","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in constitutively invasive HT-29 5M21 cells (colon cancer) vs the parental non-invasive cells.","DESCRIPTION_FULL":"From the conditioned medium of the human colon carcinoma cells, HT-29 5M21 (CM-5M21), expressing a spontaneous invasive phenotype, tumor-associated trypsin inhibitor (TATI) was identified and characterized by proteomics, cDNA microarray approaches and functional analyses. Both CM-5M21 and recombinant TATI, but not the K18Y-TATI mutant at the protease inhibitor site, trigger collagen type I invasion by several human adenoma and carcinoma cells of the colon and breast, through phosphoinositide-3-kinase, protein kinase C and Rho-GTPases/Rho kinase-dependent pathways. Conversely, the proinvasive action of TATI in parental HT29 cells was alleviated by the TATI antibody PSKAN2 and the K18Y-TATI mutant. Stable expression of K18Y-TATI in HT-29 5M21 cells downregulated tumor growth, angiogenesis and the expression of several metastasis-related genes, including CSPG4 (13.8-fold), BMP-7 (9.7-fold), the BMP antagonist CHORDIN (5.2-fold), IGFBP-2 and IGF2 (9.6- and 4.6-fold). Accordingly, ectopic expression of KY-TATI inhibited the development of lung metastases from HT-29 5M21 tumor xenografts in immunodeficient mice. These findings identify TATI as an autocrine transforming factor potentially involved in early and late events of colon cancer progression, including local invasion of the primary tumor and its metastatic spread. Targeting TATI, its molecular partners and effectors may bring novel therapeutic applications for high-grade human solid tumors in the digestive and urogenital systems."}
{"STANDARD_NAME":"LIU_LIVER_CANCER","SYSTEMATIC_NAME":"M18919","ORGANISM":"Homo sapiens","PMID":"18332864","AUTHORS":"Liu BH,Goh CH,Ooi LL,Hui KM","EXACT_SOURCE":"Supplementary Data 2A","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Low abundance transcripts specific to hepatocellular carcinoma (HCC).","DESCRIPTION_FULL":"Most human cancers are characterized by genetic aberrations accompanied by altered expression and function of numerous genes. Applying genome-wide, microarray gene expression analysis to identify deregulated genes in different tumour types can provide potential gene candidates as diagnostic and prognostic tools and promising targets for drug development. However, the detection of deregulated genes with low levels of expression remains a major challenge. In this study, we have designed a strategy, termed modified suppression subtractive hybridization (mSSH), to identify genes encoding rare transcripts. The strategy entails incorporating the T(7)-promoter sequence at the 5' end of the noncoding cDNA strand during first strand cDNA synthesis to generate unidirectional antisense RNA from the resultant cDNA following conventional SSH. These transcripts are subsequently analysed by Affymetrix oligonucleotide gene arrays. Here, we have used five hepatocellular carcinoma (HCC), five breast carcinoma and four nasopharyngeal carcinoma (NPC) biopsies separately as testers and their corresponding normal biopsies as drivers to enrich for low abundance tumour type-specific transcripts. The total detectable number of probe sets following mSSH was reduced almost 10-fold in comparison to those detected for the same resected tumour tissues without undergoing subtraction, thus yielding a subtraction efficacy of over 90%. Using this experimental approach, we have identified 48 HCC-specific, 45 breast carcinoma-specific, and 83 NPC-specific genes. In addition, 115 genes were upregulated in all the three cancer types. When compared to gene-profiling data obtained without mSSH, the majority of these identified transcripts were of low abundance in the original cancer tissues. mSSH can therefore serve as a comprehensive molecular strategy for pursuing functional genomic studies of human cancers."}
{"STANDARD_NAME":"LIU_BREAST_CANCER","SYSTEMATIC_NAME":"M16584","ORGANISM":"Homo sapiens","PMID":"18332864","AUTHORS":"Liu BH,Goh CH,Ooi LL,Hui KM","EXACT_SOURCE":"Supplementary Data 2B","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Low abundance transcripts specific for breast cancer.","DESCRIPTION_FULL":"Most human cancers are characterized by genetic aberrations accompanied by altered expression and function of numerous genes. Applying genome-wide, microarray gene expression analysis to identify deregulated genes in different tumour types can provide potential gene candidates as diagnostic and prognostic tools and promising targets for drug development. However, the detection of deregulated genes with low levels of expression remains a major challenge. In this study, we have designed a strategy, termed modified suppression subtractive hybridization (mSSH), to identify genes encoding rare transcripts. The strategy entails incorporating the T(7)-promoter sequence at the 5' end of the noncoding cDNA strand during first strand cDNA synthesis to generate unidirectional antisense RNA from the resultant cDNA following conventional SSH. These transcripts are subsequently analysed by Affymetrix oligonucleotide gene arrays. Here, we have used five hepatocellular carcinoma (HCC), five breast carcinoma and four nasopharyngeal carcinoma (NPC) biopsies separately as testers and their corresponding normal biopsies as drivers to enrich for low abundance tumour type-specific transcripts. The total detectable number of probe sets following mSSH was reduced almost 10-fold in comparison to those detected for the same resected tumour tissues without undergoing subtraction, thus yielding a subtraction efficacy of over 90%. Using this experimental approach, we have identified 48 HCC-specific, 45 breast carcinoma-specific, and 83 NPC-specific genes. In addition, 115 genes were upregulated in all the three cancer types. When compared to gene-profiling data obtained without mSSH, the majority of these identified transcripts were of low abundance in the original cancer tissues. mSSH can therefore serve as a comprehensive molecular strategy for pursuing functional genomic studies of human cancers."}
{"STANDARD_NAME":"LIU_NASOPHARYNGEAL_CARCINOMA","SYSTEMATIC_NAME":"M18988","ORGANISM":"Homo sapiens","PMID":"18332864","AUTHORS":"Liu BH,Goh CH,Ooi LL,Hui KM","EXACT_SOURCE":"Supplementary Data 2C","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Low abundance transcripts specific to nasopharyngeal carcinoma (NPC).","DESCRIPTION_FULL":"Most human cancers are characterized by genetic aberrations accompanied by altered expression and function of numerous genes. Applying genome-wide, microarray gene expression analysis to identify deregulated genes in different tumour types can provide potential gene candidates as diagnostic and prognostic tools and promising targets for drug development. However, the detection of deregulated genes with low levels of expression remains a major challenge. In this study, we have designed a strategy, termed modified suppression subtractive hybridization (mSSH), to identify genes encoding rare transcripts. The strategy entails incorporating the T(7)-promoter sequence at the 5' end of the noncoding cDNA strand during first strand cDNA synthesis to generate unidirectional antisense RNA from the resultant cDNA following conventional SSH. These transcripts are subsequently analysed by Affymetrix oligonucleotide gene arrays. Here, we have used five hepatocellular carcinoma (HCC), five breast carcinoma and four nasopharyngeal carcinoma (NPC) biopsies separately as testers and their corresponding normal biopsies as drivers to enrich for low abundance tumour type-specific transcripts. The total detectable number of probe sets following mSSH was reduced almost 10-fold in comparison to those detected for the same resected tumour tissues without undergoing subtraction, thus yielding a subtraction efficacy of over 90%. Using this experimental approach, we have identified 48 HCC-specific, 45 breast carcinoma-specific, and 83 NPC-specific genes. In addition, 115 genes were upregulated in all the three cancer types. When compared to gene-profiling data obtained without mSSH, the majority of these identified transcripts were of low abundance in the original cancer tissues. mSSH can therefore serve as a comprehensive molecular strategy for pursuing functional genomic studies of human cancers."}
{"STANDARD_NAME":"LIU_COMMON_CANCER_GENES","SYSTEMATIC_NAME":"M18694","ORGANISM":"Homo sapiens","PMID":"18332864","AUTHORS":"Liu BH,Goh CH,Ooi LL,Hui KM","EXACT_SOURCE":"Supplementary Data 2D","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Low abundance transcripts common to nasopharyngeal carcinoma (NPC), breast and liver tumors.","DESCRIPTION_FULL":"Most human cancers are characterized by genetic aberrations accompanied by altered expression and function of numerous genes. Applying genome-wide, microarray gene expression analysis to identify deregulated genes in different tumour types can provide potential gene candidates as diagnostic and prognostic tools and promising targets for drug development. However, the detection of deregulated genes with low levels of expression remains a major challenge. In this study, we have designed a strategy, termed modified suppression subtractive hybridization (mSSH), to identify genes encoding rare transcripts. The strategy entails incorporating the T(7)-promoter sequence at the 5' end of the noncoding cDNA strand during first strand cDNA synthesis to generate unidirectional antisense RNA from the resultant cDNA following conventional SSH. These transcripts are subsequently analysed by Affymetrix oligonucleotide gene arrays. Here, we have used five hepatocellular carcinoma (HCC), five breast carcinoma and four nasopharyngeal carcinoma (NPC) biopsies separately as testers and their corresponding normal biopsies as drivers to enrich for low abundance tumour type-specific transcripts. The total detectable number of probe sets following mSSH was reduced almost 10-fold in comparison to those detected for the same resected tumour tissues without undergoing subtraction, thus yielding a subtraction efficacy of over 90%. Using this experimental approach, we have identified 48 HCC-specific, 45 breast carcinoma-specific, and 83 NPC-specific genes. In addition, 115 genes were upregulated in all the three cancer types. When compared to gene-profiling data obtained without mSSH, the majority of these identified transcripts were of low abundance in the original cancer tissues. mSSH can therefore serve as a comprehensive molecular strategy for pursuing functional genomic studies of human cancers."}
{"STANDARD_NAME":"LOCKWOOD_AMPLIFIED_IN_LUNG_CANCER","SYSTEMATIC_NAME":"M4572","ORGANISM":"Homo sapiens","PMID":"18391978","AUTHORS":"Lockwood WW,Chari R,Coe BP,Girard L,Macaulay C,Lam S,Gazdar AF,Minna JD,Lam WL","GEOID":"GSE4824","EXACT_SOURCE":"Table 11S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Overexpressed genes with amplified copy number across 27 non-small cell lung cancer (NSCLC) cell lines.","DESCRIPTION_FULL":"Chromosomal translocation is the best-characterized genetic mechanism for oncogene activation. However, there are documented examples of activation by alternate mechanisms, for example gene dosage increase, though its prevalence is unclear. Here, we answered the fundamental question of the contribution of DNA amplification as a molecular mechanism driving oncogenesis. Comparing 104 cancer lines representing diverse tissue origins identified genes residing in amplification 'hotspots' and discovered an unexpected frequency of genes activated by this mechanism. The 3431 amplicons identified represent approximately 10 per hematological and approximately 36 per epithelial cancer genome. Many recurrently amplified oncogenes were previously known to be activated only by disease-specific translocations. The 135 hotspots identified contain 538 unique genes and are enriched for proliferation, apoptosis and linage-dependency genes, reflecting functions advantageous to tumor growth. Integrating gene dosage with expression data validated the downstream impact of the novel amplification events in both cell lines and clinical samples. For example, multiple downstream components of the EGFR-family-signaling pathway, including CDK5, AKT1 and SHC1, are overexpressed as a direct result of gene amplification in lung cancer. Our findings suggest that amplification is far more common a mechanism of oncogene activation than previously believed and that specific regions of the genome are hotspots of amplification."}
{"STANDARD_NAME":"FREDERICK_PRKCI_TARGETS","SYSTEMATIC_NAME":"M13167","ORGANISM":"Homo sapiens","PMID":"18427549","AUTHORS":"Frederick LA,Matthews JA,Jamieson L,Justilien V,Thompson EA,Radisky DC,Fields AP","EXACT_SOURCE":"Table 1","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in H1703 cells (non-small cell lung cancer, NSCLC) after knockdown of PRKCI [GeneID=5584] by RNAi.","DESCRIPTION_FULL":"Protein kinase Ciota (PKCiota) drives transformed growth of non-small cell lung cancer (NSCLC) cells through the Rho family GTPase Rac1. We show here that PKCiota activates Rac1 in NSCLC cells by formation of a PKCiota-Par6alpha complex that drives anchorage-independent growth and invasion through activation of matrix metalloproteinase-10 (MMP-10) expression. RNAi-mediated knockdown of PKCiota, Par6alpha or Rac1 expression inhibits NSCLC transformation and MMP-10 expression in vitro. Expression of wild-type Par6alpha in Par6alpha-deficient cells restores transformation and MMP-10 expression, whereas expression of Par6alpha mutants that either cannot bind PKCiota (Par6alpha-K19A) or couple to Rac1 (Par6alpha-DeltaCRIB) do not. Knockdown of MMP-10 expression blocks anchorage-independent growth and invasion of NSCLC cells and addition of catalytically active MMP-10 to PKCiota- or Par6alpha-deficient cells restores anchorage-independent growth and invasion. Dominant-negative PKCiota inhibits tumorigenicity and MMP-10 expression in subcutaneous NSCLC tumors. MMP-10 and PKCiota are coordinately overexpressed in primary NSCLC tumors, and tumor MMP-10 expression predicts poor survival in NSCLC patients. Our data define a PKCiota-Par6alpha-Rac1 signaling axis that drives anchorage-independent growth and invasion of NSCLC cells through induction of MMP-10 expression."}
{"STANDARD_NAME":"RAHMAN_TP53_TARGETS_PHOSPHORYLATED","SYSTEMATIC_NAME":"M1333","ORGANISM":"Homo sapiens","PMID":"18438429","AUTHORS":"Rahman-Roblick R,Hellman U,Becker S,Bader FG,Auer G,Wiman KG,Roblick UJ","EXACT_SOURCE":"Table 1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Proteins phosporylated in HCT116 cells (colon cancer) upon p53 [GeneID=7157] activation.","DESCRIPTION_FULL":"The p53 tumor suppressor regulates transcription of target genes. We have previously analysed the p53-dependent proteome and identified novel protein targets. Here we have examined p53-dependent phosphorylation using two-dimensional gel electrophoresis and staining with the fluorescent phosphoprotein dye Pro-Q Diamond. We report that p53 induces phosphorylation of a subset of proteins including Nm23, DJ-1, ANXA1 and PrxII. Our identification of p53-dependent phosphorylation of specific target proteins reveals new aspects of the p53-dependent cellular response and suggests that such posttranslational modifications may contribute to p53-mediated tumor suppression."}
{"STANDARD_NAME":"WEI_MIR34A_TARGETS","SYSTEMATIC_NAME":"M8617","ORGANISM":"Homo sapiens","PMID":"18504438","AUTHORS":"Wei JS,Song YK,Durinck S,Chen QR,Cheuk AT,Tsang P,Zhang Q,Thiele CJ,Slack A,Shohet J,Khan J","EXACT_SOURCE":"Table 2S","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Potential direct target genes for MIR34A [GeneID=407040] microRNA in IMR32 cells (neuroblastoma).","DESCRIPTION_FULL":"Loss of 1p36 heterozygosity commonly occurs with MYCN amplification in neuroblastoma tumors, and both are associated with an aggressive phenotype. Database searches identified five microRNAs that map to the commonly deleted region of 1p36 and we hypothesized that the loss of one or more of these microRNAs contributes to the malignant phenotype of MYCN-amplified tumors. By bioinformatic analysis, we identified that three out of the five microRNAs target MYCN and of these miR-34a caused the most significant suppression of cell growth through increased apoptosis and decreased DNA synthesis in neuroblastoma cell lines with MYCN amplification. Quantitative RT-PCR showed that neuroblastoma tumors with 1p36 loss expressed lower level of miR-34a than those with normal copies of 1p36. Furthermore, we demonstrated that MYCN is a direct target of miR-34a. Finally, using a series of mRNA expression profiling experiments, we identified other potential direct targets of miR-34a, and pathway analysis demonstrated that miR-34a suppresses cell-cycle genes and induces several neural-related genes. This study demonstrates one important regulatory role of miR-34a in cell growth and MYCN suppression in neuroblastoma."}
{"STANDARD_NAME":"LIAO_HAVE_SOX4_BINDING_SITES","SYSTEMATIC_NAME":"M15025","ORGANISM":"Homo sapiens","PMID":"18504433","AUTHORS":"Liao YL,Sun YM,Chau GY,Chau YP,Lai TC,Wang JL,Horng JT,Hsiao M,Tsou AP","GEOID":"GSE6222","EXACT_SOURCE":"Table 1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in the samples with intrahepatic metastatic hepatocellular carcinoma (HCC) vs primary HCC that also have putative binding sites for SOX4 [GeneID=6659].","DESCRIPTION_FULL":"A comprehensive microarray analysis of hepatocellular carcinoma (HCC) revealed distinct synexpression patterns during intrahepatic metastasis. Recent evidence has demonstrated that synexpression group member genes are likely to be regulated by master control gene(s). Here we investigate the functions and gene regulation of the transcription factor SOX4 in intrahepatic metastatic HCC. SOX4 is important in tumor metastasis as RNAi knockdown reduces tumor cell migration, invasion, in vivo tumorigenesis and metastasis. A multifaceted approach integrating gene profiling, binding site computation and empirical verification by chromatin immunoprecipitation and gene ablation refined the consensus SOX4 binding motif and identified 32 binding loci in 31 genes with high confidence. RNAi knockdown of two SOX4 target genes, neuropilin 1 and semaphorin 3C, drastically reduced cell migration activity in HCC cell lines suggesting that SOX4 exerts some of its action via regulation of these two downstream targets. The discovery of 31 previously unidentified targets expands our knowledge of how SOX4 modulates HCC progression and implies a range of novel SOX4 functions. This integrated approach sets a paradigm whereby a subset of member genes from a synexpression group can be regulated by one master control gene and this is exemplified by SOX4 and advanced HCC.Oncogene advance online publication, 26 May 2008; doi:10.1038/onc.2008.168."}
{"STANDARD_NAME":"LIAO_METASTASIS","SYSTEMATIC_NAME":"M13809","ORGANISM":"Homo sapiens","PMID":"18504433","AUTHORS":"Liao YL,Sun YM,Chau GY,Chau YP,Lai TC,Wang JL,Horng JT,Hsiao M,Tsou AP","GEOID":"GSE6222","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in the samples with intrahepatic metastatic hepatocellular carcinoma (HCC) vs primary HCC.","DESCRIPTION_FULL":"A comprehensive microarray analysis of hepatocellular carcinoma (HCC) revealed distinct synexpression patterns during intrahepatic metastasis. Recent evidence has demonstrated that synexpression group member genes are likely to be regulated by master control gene(s). Here we investigate the functions and gene regulation of the transcription factor SOX4 in intrahepatic metastatic HCC. SOX4 is important in tumor metastasis as RNAi knockdown reduces tumor cell migration, invasion, in vivo tumorigenesis and metastasis. A multifaceted approach integrating gene profiling, binding site computation and empirical verification by chromatin immunoprecipitation and gene ablation refined the consensus SOX4 binding motif and identified 32 binding loci in 31 genes with high confidence. RNAi knockdown of two SOX4 target genes, neuropilin 1 and semaphorin 3C, drastically reduced cell migration activity in HCC cell lines suggesting that SOX4 exerts some of its action via regulation of these two downstream targets. The discovery of 31 previously unidentified targets expands our knowledge of how SOX4 modulates HCC progression and implies a range of novel SOX4 functions. This integrated approach sets a paradigm whereby a subset of member genes from a synexpression group can be regulated by one master control gene and this is exemplified by SOX4 and advanced HCC.Oncogene advance online publication, 26 May 2008; doi:10.1038/onc.2008.168."}
{"STANDARD_NAME":"HASEGAWA_TUMORIGENESIS_BY_RET_C634R","SYSTEMATIC_NAME":"M1334","ORGANISM":"Mus musculus","PMID":"18542059","AUTHORS":"Hasegawa T,Enomoto A,Kato T,Kawai K,Miyamoto R,Jijiwa M,Ichihara M,Ishida M,Asai N,Murakumo Y,Ohara K,Niwa Y,Goto H,Takahashi M","EXACT_SOURCE":"Table 1","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in salivary, thyroid and mammary gland carcinomas developed in transgenic mice carrying RET [GeneID=5979] allele with the MEN2A mutation (C634R).","DESCRIPTION_FULL":"Germline mutations in the RET tyrosine kinase gene are responsible for the development of multiple endocrine neoplasia 2A and 2B (MEN2A and MEN2B). However, knowledge of the fundamental principles that determine the mutant RET-mediated signaling remains elusive. Here, we report increased expression of mitogen-activated protein kinase phosphatase-2 (MKP-2) in carcinomas developed in transgenic mice carrying RET with the MEN2A mutation (RET-MEN2A). The expression of MKP-2 was not only induced by RET-MEN2A or RET-MEN2B mutant proteins but also by the activation of endogenous RET by its ligand, glial cell line-derived neurotrophic factor (GDNF). MKP-2 expression was also evident in the MKK-f cell line, which was established from a mammary tumor developed in a RET-MEN2A transgenic mouse. Inhibition of MKP-2 attenuated the in vitro and in vivo proliferation of MKK-f cells, which was mediated by the suppression of cyclin B1 expression. Furthermore, we found that MKP-2 is highly expressed in medullary thyroid carcinomas derived from MEN2A patients. These findings suggest that the increased expression of MKP-2 may play a crucial role in oncogenic signaling downstream of mutant RET, leading to deregulation of cell cycle."}
{"STANDARD_NAME":"TONG_INTERACT_WITH_PTTG1","SYSTEMATIC_NAME":"M3844","ORGANISM":"Homo sapiens","PMID":"18663361","AUTHORS":"Tong Y,Ben-Shlomo A,Zhou C,Wawrowsky K,Melmed S","EXACT_SOURCE":"Table 1S","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Proteins that interact with PTTG1 [GeneID=9232], based on protein array.","DESCRIPTION_FULL":"Pituitary tumor transforming gene 1 (PTTG1), a transforming gene highly expressed in several cancers, is a mammalian securin protein regulating both G1/S and G2/M phases. Using protein array screening, we showed PTTG1 interacting with Aurora kinase A (Aurora-A), and confirmed the interaction using co-immunoprecipitation, His-tagged pull-down assays and intracellular immunofluorescence colocalization. PTTG1 transfection into HCT116 cells prevented Aurora-A T288 autophosphorylation, inhibited phosphorylation of the histone H3 Aurora-A substrate and resulted in abnormally condensed chromatin. PTTG1-null cell proliferation was more sensitive to Aurora-A knock down and to Aurora kinase Inhibitor III treatment. The results indicate that PTTG1 and Aurora-A interact to regulate cellular responses to anti-neoplastic drugs. PTTG1 knockdown is therefore a potential approach to improve the efficacy of tumor Aurora kinase inhibitors."}
{"STANDARD_NAME":"SCIAN_CELL_CYCLE_TARGETS_OF_TP53_AND_TP73_UP","SYSTEMATIC_NAME":"M18679","ORGANISM":"Homo sapiens","PMID":"17982488","AUTHORS":"Scian MJ,Carchman EH,Mohanraj L,Stagliano KE,Anderson MA,Deb D,Crane BM,Kiyono T,Windle B,Deb SP,Deb S","EXACT_SOURCE":"Table 1: selected by p53","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cell cycle genes up-regulated in H1299 cells (lung cancer) after overexpression of either P53 or P73 [GeneID=7157;7161].","DESCRIPTION_FULL":"When normal cells come under stress, the wild-type (WT) p53 level increases resulting in the regulation of gene expression responsible for growth arrest or apoptosis. Here we show that elevated levels of WT p53 or its homologue, p73, inhibit expression of a number of cell cycle regulatory and growth promoting genes. Our analysis also identified a group of genes whose expression is differentially regulated by WT p53 and p73. We have infected p53-null H1299 human lung carcinoma cells with recombinant adenoviruses expressing WT p53, p73 or beta-galactosidase, and have undertaken microarray hybridization analyses to identify genes whose expression profile is altered by p53 or p73. Quantitative real-time PCR verified the repression of E2F-5, centromere protein A and E, minichromosome maintenance proteins (MCM)-2, -3, -5, -6 and -7 and human CDC25B after p53 expression. 5-Fluorouracil treatment of colon carcinoma HCT116 cells expressing WT p53 results in a reduction of the cyclin B2 protein level suggesting that DNA damage may indeed cause repression of these genes. Transient transcriptional assays verified that WT p53 repressed promoters of a number of these genes. Interestingly, a gain-of-function p53 mutant instead upregulated a number of these promoters in transient transfection. Using promoter deletion mutants of MCM-7 we have found that WT p53-mediated repression needs a minimal promoter that contains a single E2F site and surrounding sequences. However, a single E2F site cannot be significantly repressed by WT p53. Many of the genes identified are also repressed by p21. Thus, our work shows that WT p53 and p73 repress a number of growth-related genes and that in many instances this repression may be through the induction of p21."}
{"STANDARD_NAME":"SCIAN_INVERSED_TARGETS_OF_TP53_AND_TP73_UP","SYSTEMATIC_NAME":"M7918","ORGANISM":"Homo sapiens","PMID":"17982488","AUTHORS":"Scian MJ,Carchman EH,Mohanraj L,Stagliano KE,Anderson MA,Deb D,Crane BM,Kiyono T,Windle B,Deb SP,Deb S","EXACT_SOURCE":"Table S2b: up by p53 and down by p73b","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes that were inversely correlated in H1299 cells (lung cancer): up-regulated by P53 [GeneID=7157] and down-regulated by P73 [GeneID=7161].","DESCRIPTION_FULL":"When normal cells come under stress, the wild-type (WT) p53 level increases resulting in the regulation of gene expression responsible for growth arrest or apoptosis. Here we show that elevated levels of WT p53 or its homologue, p73, inhibit expression of a number of cell cycle regulatory and growth promoting genes. Our analysis also identified a group of genes whose expression is differentially regulated by WT p53 and p73. We have infected p53-null H1299 human lung carcinoma cells with recombinant adenoviruses expressing WT p53, p73 or beta-galactosidase, and have undertaken microarray hybridization analyses to identify genes whose expression profile is altered by p53 or p73. Quantitative real-time PCR verified the repression of E2F-5, centromere protein A and E, minichromosome maintenance proteins (MCM)-2, -3, -5, -6 and -7 and human CDC25B after p53 expression. 5-Fluorouracil treatment of colon carcinoma HCT116 cells expressing WT p53 results in a reduction of the cyclin B2 protein level suggesting that DNA damage may indeed cause repression of these genes. Transient transcriptional assays verified that WT p53 repressed promoters of a number of these genes. Interestingly, a gain-of-function p53 mutant instead upregulated a number of these promoters in transient transfection. Using promoter deletion mutants of MCM-7 we have found that WT p53-mediated repression needs a minimal promoter that contains a single E2F site and surrounding sequences. However, a single E2F site cannot be significantly repressed by WT p53. Many of the genes identified are also repressed by p21. Thus, our work shows that WT p53 and p73 repress a number of growth-related genes and that in many instances this repression may be through the induction of p21."}
{"STANDARD_NAME":"GUENTHER_GROWTH_SPHERICAL_VS_ADHERENT_UP","SYSTEMATIC_NAME":"M7184","ORGANISM":"Homo sapiens","PMID":"18037961","AUTHORS":"Günther HS,Schmidt NO,Phillips HS,Kemming D,Kharbanda S,Soriano R,Modrusan Z,Meissner H,Westphal M,Lamszus K","GEOID":"GSE8049","EXACT_SOURCE":"Table 2S, 3S: up in cluster-1, down in cluster-2","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in glioblastoma cell lines displaying spherical growth (cluster-1) compared to those displaying semiadherent or adherent growth phenotype (cluster-2).","DESCRIPTION_FULL":"Tumor cells with stem cell-like properties can be cultured from human glioblastomas by using conditions that select for the expansion of neural stem cells. We generated cell lines from glioblastoma specimens with the goal to obtain model systems for glioma stem cell biology. Unsupervised analysis of the expression profiles of nine cell lines established under neural stem cell conditions yielded two distinct clusters. Four cell lines were characterized by the expression of neurodevelopmental genes. They showed a multipotent differentiation profile along neuronal, astroglial and oligodendroglial lineages, grew spherically in vitro, expressed CD133 and formed highly invasive tumors in vivo. The other five cell lines shared expression signatures enriched for extracellular matrix-related genes, had a more restricted differentiation capacity, contained no or fewer CD133+ cells, grew semiadherent or adherent in vitro and displayed reduced tumorigenicity and invasion in vivo. Our findings show that stable, multipotent glioblastoma cell lines with a full stem-like phenotype express neurodevelopmental genes as a distinctive feature, which may offer therapeutic targeting opportunities. The generation of another distinct cluster of cell lines showing similarly homogeneous profiling but restricted stem cell properties suggests that different phenotypes exist, each of which may lead to the typical appearance of glioblastoma."}
{"STANDARD_NAME":"GUENTHER_GROWTH_SPHERICAL_VS_ADHERENT_DN","SYSTEMATIC_NAME":"M1511","ORGANISM":"Homo sapiens","PMID":"18037961","AUTHORS":"Günther HS,Schmidt NO,Phillips HS,Kemming D,Kharbanda S,Soriano R,Modrusan Z,Meissner H,Westphal M,Lamszus K","GEOID":"GSE8049","EXACT_SOURCE":"Table 2S, 3S: down in cluster-1, up in cluster-2","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in glioblastoma cell lines displaying spherical growth (cluster-1) compared to those displaying semiadherent or adherent growth phenotype (cluster-2).","DESCRIPTION_FULL":"Tumor cells with stem cell-like properties can be cultured from human glioblastomas by using conditions that select for the expansion of neural stem cells. We generated cell lines from glioblastoma specimens with the goal to obtain model systems for glioma stem cell biology. Unsupervised analysis of the expression profiles of nine cell lines established under neural stem cell conditions yielded two distinct clusters. Four cell lines were characterized by the expression of neurodevelopmental genes. They showed a multipotent differentiation profile along neuronal, astroglial and oligodendroglial lineages, grew spherically in vitro, expressed CD133 and formed highly invasive tumors in vivo. The other five cell lines shared expression signatures enriched for extracellular matrix-related genes, had a more restricted differentiation capacity, contained no or fewer CD133+ cells, grew semiadherent or adherent in vitro and displayed reduced tumorigenicity and invasion in vivo. Our findings show that stable, multipotent glioblastoma cell lines with a full stem-like phenotype express neurodevelopmental genes as a distinctive feature, which may offer therapeutic targeting opportunities. The generation of another distinct cluster of cell lines showing similarly homogeneous profiling but restricted stem cell properties suggests that different phenotypes exist, each of which may lead to the typical appearance of glioblastoma."}
{"STANDARD_NAME":"SCHWAB_TARGETS_OF_BMYB_POLYMORPHIC_VARIANTS_DN","SYSTEMATIC_NAME":"M10651","ORGANISM":"Homo sapiens","PMID":"18026132","AUTHORS":"Schwab R,Bussolari R,Corvetta D,Chayka O,Santilli G,Kwok JM,Ferrari-Amorotti G,Tonini GP,Iacoviello L,Bertorelle R,Menin C,Hubank M,Calabretta B,Sala A","EXACT_SOURCE":"Table 2S: WT to ATG","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in 293 cells (embryonic kidney) expressing polymorphic variants S427G (SNP ID=rs2070235) or I624M (SNP ID=rs11556379) of BMYB [GeneID=4605].","DESCRIPTION_FULL":"The B-MYB proto-oncogene is a transcription factor belonging to the MYB family that is frequently overexpressed or amplified in different types of human malignancies. While it is suspected that B-MYB plays a role in human cancer, there is still no direct evidence of its causative role. Looking for mutations of the B-MYB gene in human cell lines and primary cancer samples, we frequently isolated two nonsynonymous B-MYB polymorphic variants (rs2070235 and rs11556379). Compared to the wild-type protein, the B-MYB isoforms display altered conformation, impaired regulation of target genes and decreased antiapoptotic activity, suggesting that they are hypomorphic variants of the major allele. Importantly, the B-MYB polymorphisms are common; rs2070235 and rs11556379 are found, depending on the ethnic background, in 10-50% of human subjects. We postulated that, if B-MYB activity is important for transformation, the presence of common, hypomorphic variants might modify cancer risk. Indeed, the B-MYB polymorphisms are underrepresented in 419 cancer patients compared to 230 controls (odds ratio 0.53; (95%) confidence interval 0.385-0.755; P=0.001). This data imply that a large fraction of the human population is carrier of B-MYB alleles that might be associated with a reduced risk of developing neoplastic disease."}
{"STANDARD_NAME":"GOUYER_TATI_TARGETS_DN","SYSTEMATIC_NAME":"M3697","ORGANISM":"Homo sapiens","PMID":"18317448","AUTHORS":"Gouyer V,Fontaine D,Dumont P,de Wever O,Fontayne-Devaud H,Leteurtre E,Truant S,Delacour D,Drobecq H,Kerckaert JP,de Launoit Y,Bracke M,Gespach C,Desseyn JL,Huet G","EXACT_SOURCE":"Table 2","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in constitutively invasive HT-29 5M21 cells (colon cancer) vs those expressing functionally inactive TATI [GeneID=6690].","DESCRIPTION_FULL":"From the conditioned medium of the human colon carcinoma cells, HT-29 5M21 (CM-5M21), expressing a spontaneous invasive phenotype, tumor-associated trypsin inhibitor (TATI) was identified and characterized by proteomics, cDNA microarray approaches and functional analyses. Both CM-5M21 and recombinant TATI, but not the K18Y-TATI mutant at the protease inhibitor site, trigger collagen type I invasion by several human adenoma and carcinoma cells of the colon and breast, through phosphoinositide-3-kinase, protein kinase C and Rho-GTPases/Rho kinase-dependent pathways. Conversely, the proinvasive action of TATI in parental HT29 cells was alleviated by the TATI antibody PSKAN2 and the K18Y-TATI mutant. Stable expression of K18Y-TATI in HT-29 5M21 cells downregulated tumor growth, angiogenesis and the expression of several metastasis-related genes, including CSPG4 (13.8-fold), BMP-7 (9.7-fold), the BMP antagonist CHORDIN (5.2-fold), IGFBP-2 and IGF2 (9.6- and 4.6-fold). Accordingly, ectopic expression of KY-TATI inhibited the development of lung metastases from HT-29 5M21 tumor xenografts in immunodeficient mice. These findings identify TATI as an autocrine transforming factor potentially involved in early and late events of colon cancer progression, including local invasion of the primary tumor and its metastatic spread. Targeting TATI, its molecular partners and effectors may bring novel therapeutic applications for high-grade human solid tumors in the digestive and urogenital systems."}
{"STANDARD_NAME":"CAFFAREL_RESPONSE_TO_THC_UP","SYSTEMATIC_NAME":"M11298","ORGANISM":"Homo sapiens","PMID":"18454173","AUTHORS":"Caffarel MM,Moreno-Bueno G,Cerutti C,Palacios J,Guzman M,Mechta-Grigoriou F,Sanchez C","GEOID":"GSE8502","EXACT_SOURCE":"Table 3S","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in EVSA-T cells (breast cancer) treated THC (delta-9-tetrahydrocannabinol) [PubChem=6610319].","DESCRIPTION_FULL":"It has been recently shown that cannabinoids, the active components of marijuana and their derivatives, inhibit cell cycle progression of human breast cancer cells. Here we studied the mechanism of Delta(9)-tetrahydrocannabinol (THC) antiproliferative action in these cells, and show that it involves the modulation of JunD, a member of the AP-1 transcription factor family. THC activates JunD both by upregulating gene expression and by translocating the protein to the nuclear compartment, and these events are accompanied by a decrease in cell proliferation. Of interest, neither JunD activation nor proliferation inhibition was observed in human non-tumour mammary epithelial cells exposed to THC. We confirmed the importance of JunD in THC action by RNA interference and genetic ablation. Thus, in both JunD-silenced human breast cancer cells and JunD knockout mice-derived immortalized fibroblasts, the antiproliferative effect exerted by THC was significantly diminished. Gene array and siRNA experiments support that the cyclin-dependent kinase inhibitor p27 and the tumour suppressor gene testin are candidate JunD targets in cannabinoid action. In addition, our data suggest that the stress-regulated protein p8 participates in THC antiproliferative action in a JunD-independent manner. In summary, this is the first report showing not only that cannabinoids regulate JunD but, more generally, that JunD activation reduces the proliferation of cancer cells, which points to a new target to inhibit breast cancer progression."}
{"STANDARD_NAME":"CAFFAREL_RESPONSE_TO_THC_DN","SYSTEMATIC_NAME":"M17998","ORGANISM":"Homo sapiens","PMID":"18454173","AUTHORS":"Caffarel MM,Moreno-Bueno G,Cerutti C,Palacios J,Guzman M,Mechta-Grigoriou F,Sanchez C","GEOID":"GSE8502","EXACT_SOURCE":"Table 3S","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in EVSA-T cells (breast cancer) treated THC (delta-9-tetrahydrocannabinol) [PubChem=6610319].","DESCRIPTION_FULL":"It has been recently shown that cannabinoids, the active components of marijuana and their derivatives, inhibit cell cycle progression of human breast cancer cells. Here we studied the mechanism of Delta(9)-tetrahydrocannabinol (THC) antiproliferative action in these cells, and show that it involves the modulation of JunD, a member of the AP-1 transcription factor family. THC activates JunD both by upregulating gene expression and by translocating the protein to the nuclear compartment, and these events are accompanied by a decrease in cell proliferation. Of interest, neither JunD activation nor proliferation inhibition was observed in human non-tumour mammary epithelial cells exposed to THC. We confirmed the importance of JunD in THC action by RNA interference and genetic ablation. Thus, in both JunD-silenced human breast cancer cells and JunD knockout mice-derived immortalized fibroblasts, the antiproliferative effect exerted by THC was significantly diminished. Gene array and siRNA experiments support that the cyclin-dependent kinase inhibitor p27 and the tumour suppressor gene testin are candidate JunD targets in cannabinoid action. In addition, our data suggest that the stress-regulated protein p8 participates in THC antiproliferative action in a JunD-independent manner. In summary, this is the first report showing not only that cannabinoids regulate JunD but, more generally, that JunD activation reduces the proliferation of cancer cells, which points to a new target to inhibit breast cancer progression."}
{"STANDARD_NAME":"CAFFAREL_RESPONSE_TO_THC_8HR_5_UP","SYSTEMATIC_NAME":"M17987","ORGANISM":"Homo sapiens","PMID":"18454173","AUTHORS":"Caffarel MM,Moreno-Bueno G,Cerutti C,Palacios J,Guzman M,Mechta-Grigoriou F,Sanchez C","GEOID":"GSE8502","EXACT_SOURCE":"Table 4S","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in EVSA-T cells (breast cancer) treated with 5 micromolar THC (delta-9-tetrahydrocannabinol) [PubChem=6610319] for 8 h.","DESCRIPTION_FULL":"It has been recently shown that cannabinoids, the active components of marijuana and their derivatives, inhibit cell cycle progression of human breast cancer cells. Here we studied the mechanism of Delta(9)-tetrahydrocannabinol (THC) antiproliferative action in these cells, and show that it involves the modulation of JunD, a member of the AP-1 transcription factor family. THC activates JunD both by upregulating gene expression and by translocating the protein to the nuclear compartment, and these events are accompanied by a decrease in cell proliferation. Of interest, neither JunD activation nor proliferation inhibition was observed in human non-tumour mammary epithelial cells exposed to THC. We confirmed the importance of JunD in THC action by RNA interference and genetic ablation. Thus, in both JunD-silenced human breast cancer cells and JunD knockout mice-derived immortalized fibroblasts, the antiproliferative effect exerted by THC was significantly diminished. Gene array and siRNA experiments support that the cyclin-dependent kinase inhibitor p27 and the tumour suppressor gene testin are candidate JunD targets in cannabinoid action. In addition, our data suggest that the stress-regulated protein p8 participates in THC antiproliferative action in a JunD-independent manner. In summary, this is the first report showing not only that cannabinoids regulate JunD but, more generally, that JunD activation reduces the proliferation of cancer cells, which points to a new target to inhibit breast cancer progression."}
{"STANDARD_NAME":"CAFFAREL_RESPONSE_TO_THC_8HR_5_DN","SYSTEMATIC_NAME":"M2260","ORGANISM":"Homo sapiens","PMID":"18454173","AUTHORS":"Caffarel MM,Moreno-Bueno G,Cerutti C,Palacios J,Guzman M,Mechta-Grigoriou F,Sanchez C","GEOID":"GSE8502","EXACT_SOURCE":"Table 4S","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in EVSA-T cells (breast cancer) treated with 5 micromolar THC (delta-9-tetrahydrocannabinol) [PubChem=6610319] for 8 h.","DESCRIPTION_FULL":"It has been recently shown that cannabinoids, the active components of marijuana and their derivatives, inhibit cell cycle progression of human breast cancer cells. Here we studied the mechanism of Delta(9)-tetrahydrocannabinol (THC) antiproliferative action in these cells, and show that it involves the modulation of JunD, a member of the AP-1 transcription factor family. THC activates JunD both by upregulating gene expression and by translocating the protein to the nuclear compartment, and these events are accompanied by a decrease in cell proliferation. Of interest, neither JunD activation nor proliferation inhibition was observed in human non-tumour mammary epithelial cells exposed to THC. We confirmed the importance of JunD in THC action by RNA interference and genetic ablation. Thus, in both JunD-silenced human breast cancer cells and JunD knockout mice-derived immortalized fibroblasts, the antiproliferative effect exerted by THC was significantly diminished. Gene array and siRNA experiments support that the cyclin-dependent kinase inhibitor p27 and the tumour suppressor gene testin are candidate JunD targets in cannabinoid action. In addition, our data suggest that the stress-regulated protein p8 participates in THC antiproliferative action in a JunD-independent manner. In summary, this is the first report showing not only that cannabinoids regulate JunD but, more generally, that JunD activation reduces the proliferation of cancer cells, which points to a new target to inhibit breast cancer progression."}
{"STANDARD_NAME":"CAFFAREL_RESPONSE_TO_THC_8HR_3_UP","SYSTEMATIC_NAME":"M1335","ORGANISM":"Homo sapiens","PMID":"18454173","AUTHORS":"Caffarel MM,Moreno-Bueno G,Cerutti C,Palacios J,Guzman M,Mechta-Grigoriou F,Sanchez C","GEOID":"GSE8502","EXACT_SOURCE":"Table 5S","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in EVSA-T cells (breast cancer) treated with 3 micromolar THC (delta-9-tetrahydrocannabinol) [PubChem=6610319] for 8 h.","DESCRIPTION_FULL":"It has been recently shown that cannabinoids, the active components of marijuana and their derivatives, inhibit cell cycle progression of human breast cancer cells. Here we studied the mechanism of Delta(9)-tetrahydrocannabinol (THC) antiproliferative action in these cells, and show that it involves the modulation of JunD, a member of the AP-1 transcription factor family. THC activates JunD both by upregulating gene expression and by translocating the protein to the nuclear compartment, and these events are accompanied by a decrease in cell proliferation. Of interest, neither JunD activation nor proliferation inhibition was observed in human non-tumour mammary epithelial cells exposed to THC. We confirmed the importance of JunD in THC action by RNA interference and genetic ablation. Thus, in both JunD-silenced human breast cancer cells and JunD knockout mice-derived immortalized fibroblasts, the antiproliferative effect exerted by THC was significantly diminished. Gene array and siRNA experiments support that the cyclin-dependent kinase inhibitor p27 and the tumour suppressor gene testin are candidate JunD targets in cannabinoid action. In addition, our data suggest that the stress-regulated protein p8 participates in THC antiproliferative action in a JunD-independent manner. In summary, this is the first report showing not only that cannabinoids regulate JunD but, more generally, that JunD activation reduces the proliferation of cancer cells, which points to a new target to inhibit breast cancer progression."}
{"STANDARD_NAME":"CAFFAREL_RESPONSE_TO_THC_8HR_3_DN","SYSTEMATIC_NAME":"M14648","ORGANISM":"Homo sapiens","PMID":"18454173","AUTHORS":"Caffarel MM,Moreno-Bueno G,Cerutti C,Palacios J,Guzman M,Mechta-Grigoriou F,Sanchez C","GEOID":"GSE8502","EXACT_SOURCE":"Table 5S","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in EVSA-T cells (breast cancer) treated with 3 micromolar THC (delta-9-tetrahydrocannabinol) [PubChem=6610319] for 8 h.","DESCRIPTION_FULL":"It has been recently shown that cannabinoids, the active components of marijuana and their derivatives, inhibit cell cycle progression of human breast cancer cells. Here we studied the mechanism of Delta(9)-tetrahydrocannabinol (THC) antiproliferative action in these cells, and show that it involves the modulation of JunD, a member of the AP-1 transcription factor family. THC activates JunD both by upregulating gene expression and by translocating the protein to the nuclear compartment, and these events are accompanied by a decrease in cell proliferation. Of interest, neither JunD activation nor proliferation inhibition was observed in human non-tumour mammary epithelial cells exposed to THC. We confirmed the importance of JunD in THC action by RNA interference and genetic ablation. Thus, in both JunD-silenced human breast cancer cells and JunD knockout mice-derived immortalized fibroblasts, the antiproliferative effect exerted by THC was significantly diminished. Gene array and siRNA experiments support that the cyclin-dependent kinase inhibitor p27 and the tumour suppressor gene testin are candidate JunD targets in cannabinoid action. In addition, our data suggest that the stress-regulated protein p8 participates in THC antiproliferative action in a JunD-independent manner. In summary, this is the first report showing not only that cannabinoids regulate JunD but, more generally, that JunD activation reduces the proliferation of cancer cells, which points to a new target to inhibit breast cancer progression."}
{"STANDARD_NAME":"CAFFAREL_RESPONSE_TO_THC_24HR_3_DN","SYSTEMATIC_NAME":"M5574","ORGANISM":"Homo sapiens","PMID":"18454173","AUTHORS":"Caffarel MM,Moreno-Bueno G,Cerutti C,Palacios J,Guzman M,Mechta-Grigoriou F,Sanchez C","GEOID":"GSE8502","EXACT_SOURCE":"Table 6S","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in EVSA-T cells (breast cancer) after treatment with 3 micromolar THC (delta-9-tetrahydrocannabinol) [PubChem=6610319] for 24 h.","DESCRIPTION_FULL":"It has been recently shown that cannabinoids, the active components of marijuana and their derivatives, inhibit cell cycle progression of human breast cancer cells. Here we studied the mechanism of Delta(9)-tetrahydrocannabinol (THC) antiproliferative action in these cells, and show that it involves the modulation of JunD, a member of the AP-1 transcription factor family. THC activates JunD both by upregulating gene expression and by translocating the protein to the nuclear compartment, and these events are accompanied by a decrease in cell proliferation. Of interest, neither JunD activation nor proliferation inhibition was observed in human non-tumour mammary epithelial cells exposed to THC. We confirmed the importance of JunD in THC action by RNA interference and genetic ablation. Thus, in both JunD-silenced human breast cancer cells and JunD knockout mice-derived immortalized fibroblasts, the antiproliferative effect exerted by THC was significantly diminished. Gene array and siRNA experiments support that the cyclin-dependent kinase inhibitor p27 and the tumour suppressor gene testin are candidate JunD targets in cannabinoid action. In addition, our data suggest that the stress-regulated protein p8 participates in THC antiproliferative action in a JunD-independent manner. In summary, this is the first report showing not only that cannabinoids regulate JunD but, more generally, that JunD activation reduces the proliferation of cancer cells, which points to a new target to inhibit breast cancer progression."}
{"STANDARD_NAME":"CAFFAREL_RESPONSE_TO_THC_24HR_5_UP","SYSTEMATIC_NAME":"M13585","ORGANISM":"Homo sapiens","PMID":"18454173","AUTHORS":"Caffarel MM,Moreno-Bueno G,Cerutti C,Palacios J,Guzman M,Mechta-Grigoriou F,Sanchez C","GEOID":"GSE8502","EXACT_SOURCE":"Table 7S","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in EVSA-T cells (breast cancer) treated with 5 micromolar THC (delta-9-tetrahydrocannabinol) [PubChem=6610319] for 24 h.","DESCRIPTION_FULL":"It has been recently shown that cannabinoids, the active components of marijuana and their derivatives, inhibit cell cycle progression of human breast cancer cells. Here we studied the mechanism of Delta(9)-tetrahydrocannabinol (THC) antiproliferative action in these cells, and show that it involves the modulation of JunD, a member of the AP-1 transcription factor family. THC activates JunD both by upregulating gene expression and by translocating the protein to the nuclear compartment, and these events are accompanied by a decrease in cell proliferation. Of interest, neither JunD activation nor proliferation inhibition was observed in human non-tumour mammary epithelial cells exposed to THC. We confirmed the importance of JunD in THC action by RNA interference and genetic ablation. Thus, in both JunD-silenced human breast cancer cells and JunD knockout mice-derived immortalized fibroblasts, the antiproliferative effect exerted by THC was significantly diminished. Gene array and siRNA experiments support that the cyclin-dependent kinase inhibitor p27 and the tumour suppressor gene testin are candidate JunD targets in cannabinoid action. In addition, our data suggest that the stress-regulated protein p8 participates in THC antiproliferative action in a JunD-independent manner. In summary, this is the first report showing not only that cannabinoids regulate JunD but, more generally, that JunD activation reduces the proliferation of cancer cells, which points to a new target to inhibit breast cancer progression."}
{"STANDARD_NAME":"CAFFAREL_RESPONSE_TO_THC_24HR_5_DN","SYSTEMATIC_NAME":"M17042","ORGANISM":"Homo sapiens","PMID":"18454173","AUTHORS":"Caffarel MM,Moreno-Bueno G,Cerutti C,Palacios J,Guzman M,Mechta-Grigoriou F,Sanchez C","GEOID":"GSE8502","EXACT_SOURCE":"Table 7S","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in EVSA-T cells (breast cancer) treated with 5 micromolar THC (delta-9-tetrahydrocannabinol) [PubChem=6610319] for 24 h.","DESCRIPTION_FULL":"It has been recently shown that cannabinoids, the active components of marijuana and their derivatives, inhibit cell cycle progression of human breast cancer cells. Here we studied the mechanism of Delta(9)-tetrahydrocannabinol (THC) antiproliferative action in these cells, and show that it involves the modulation of JunD, a member of the AP-1 transcription factor family. THC activates JunD both by upregulating gene expression and by translocating the protein to the nuclear compartment, and these events are accompanied by a decrease in cell proliferation. Of interest, neither JunD activation nor proliferation inhibition was observed in human non-tumour mammary epithelial cells exposed to THC. We confirmed the importance of JunD in THC action by RNA interference and genetic ablation. Thus, in both JunD-silenced human breast cancer cells and JunD knockout mice-derived immortalized fibroblasts, the antiproliferative effect exerted by THC was significantly diminished. Gene array and siRNA experiments support that the cyclin-dependent kinase inhibitor p27 and the tumour suppressor gene testin are candidate JunD targets in cannabinoid action. In addition, our data suggest that the stress-regulated protein p8 participates in THC antiproliferative action in a JunD-independent manner. In summary, this is the first report showing not only that cannabinoids regulate JunD but, more generally, that JunD activation reduces the proliferation of cancer cells, which points to a new target to inhibit breast cancer progression."}
{"STANDARD_NAME":"RANKIN_ANGIOGENIC_TARGETS_OF_VHL_HIF2A_UP","SYSTEMATIC_NAME":"M1336","ORGANISM":"Mus musculus","PMID":"18490920","AUTHORS":"Rankin EB,Rha J,Unger TL,Wu CH,Shutt HP,Johnson RS,Simon MC,Keith B,Haase VH","EXACT_SOURCE":"Fig 2b: red in B & C vs A","CHIP":"Mouse_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Angiogenic genes up-regulated in hepatocytes after knockout of VHL and HIF2A [GeneID=7428;2034].","DESCRIPTION_FULL":"The von Hippel-Lindau tumor suppressor pVHL regulates the stability of hypoxia-inducible factors (HIF)-1 and -2, oxygen-sensitive basic helix-loop-helix transcription factors, which mediate the hypoxic induction of angiogenic growth factors such as vascular endothelial growth factor. Loss of pVHL function results in constitutive activation of HIF-1 and HIF-2 and is associated with the development of highly vascularized tumors in multiple organs. We have used a conditional gene-targeting approach to investigate the relative contributions of HIF-1 and HIF-2 to VHL-associated vascular tumorigenesis in a mouse model of liver hemangiomas. Here we demonstrate genetically that conditional inactivation of HIF-2alpha suppressed the development of VHL-associated liver hemangiomas and that angiogenic gene expression in hepatocytes is predominantly regulated by HIF-2 and not by HIF-1. These findings suggest that HIF-2 is the dominant HIF in the pathogenesis of VHL-associated vascular tumors and that pharmacologic targeting of HIF-2 may be an effective strategy for their treatment."}
{"STANDARD_NAME":"RANKIN_ANGIOGENIC_TARGETS_OF_VHL_HIF2A_DN","SYSTEMATIC_NAME":"M1337","ORGANISM":"Mus musculus","PMID":"18490920","AUTHORS":"Rankin EB,Rha J,Unger TL,Wu CH,Shutt HP,Johnson RS,Simon MC,Keith B,Haase VH","EXACT_SOURCE":"Fig 2b: green in B & C vs A","CHIP":"Mouse_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Angiogenic genes down-regulated in hepatocytes after knockout of VHL and HIF2A [GeneID=7428;2034].","DESCRIPTION_FULL":"The von Hippel-Lindau tumor suppressor pVHL regulates the stability of hypoxia-inducible factors (HIF)-1 and -2, oxygen-sensitive basic helix-loop-helix transcription factors, which mediate the hypoxic induction of angiogenic growth factors such as vascular endothelial growth factor. Loss of pVHL function results in constitutive activation of HIF-1 and HIF-2 and is associated with the development of highly vascularized tumors in multiple organs. We have used a conditional gene-targeting approach to investigate the relative contributions of HIF-1 and HIF-2 to VHL-associated vascular tumorigenesis in a mouse model of liver hemangiomas. Here we demonstrate genetically that conditional inactivation of HIF-2alpha suppressed the development of VHL-associated liver hemangiomas and that angiogenic gene expression in hepatocytes is predominantly regulated by HIF-2 and not by HIF-1. These findings suggest that HIF-2 is the dominant HIF in the pathogenesis of VHL-associated vascular tumors and that pharmacologic targeting of HIF-2 may be an effective strategy for their treatment."}
{"STANDARD_NAME":"SUH_COEXPRESSED_WITH_ID1_AND_ID2_UP","SYSTEMATIC_NAME":"M13616","ORGANISM":"Homo sapiens","PMID":"18542061","AUTHORS":"Suh HC,Leeanansaksiri W,Ji M,Klarmann KD,Renn K,Gooya J,Smith D,McNiece I,Lugthart S,Valk PJ,Delwel R,Keller JR","EXACT_SOURCE":"Table 3S: positively correlated","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes whose expression positively correlates with that of both ID1 and ID2 [GeneID=3397;3398] genes in a cohort of 285 patients with primaly AML (acule myelogenous leukemia) [PMID=15084694].","DESCRIPTION_FULL":"Id1 is frequently overexpressed in many cancer cells, but the functional significance of these findings is not known. To determine if Id1 could contribute to the development of hematopoietic malignancy, we reconstituted mice with hematopoietic cells overexpressing Id1. We showed for the first time that deregulated expression of Id1 leads to a myeloproliferative disease in mice, and immortalizes myeloid progenitors in vitro. In human cells, we demonstrate that Id genes are expressed in human acute myelogenous leukemia cells, and that knock down of Id1 expression inhibits leukemic cell line growth, suggesting that Id1 is required for leukemic cell proliferation. These findings established a causal relationship between Id1 overexpression and hematologic malignancy. Thus, deregulated expression of Id1 may contribute to the initiation of myeloid malignancy, and Id1 may represent a potential therapeutic target for early stage intervention in the treatment of hematopoietic malignancy.Oncogene advance online publication, 9 June 2008; doi:10.1038/onc.2008.175."}
{"STANDARD_NAME":"WOTTON_RUNX_TARGETS_UP","SYSTEMATIC_NAME":"M11756","ORGANISM":"Mus musculus","PMID":"18560354","AUTHORS":"Wotton S,Terry A,Kilbey A,Jenkins A,Herzyk P,Cameron E,Neil JC","GEOID":"GSE11732","EXACT_SOURCE":"Table 1","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Common target genes up-regulated by all three Runx family members (RUNX1, RUNX2, and RUNX3 [GeneID=861;860;864]) in MEF cells (embryonic fibroblasts).","DESCRIPTION_FULL":"The Runx genes are important in development and cancer, where they can act either as oncogenes or tumour suppressors. We compared the effects of ectopic Runx expression in established fibroblasts, where all three genes produce an indistinguishable phenotype entailing epithelioid morphology and increased cell survival under stress conditions. Gene array analysis revealed a strongly overlapping transcriptional signature, with no examples of opposing regulation of the same target gene. A common set of 50 highly regulated genes was identified after further filtering on regulation by inducible RUNX1-ER. This set revealed a strong bias toward genes with annotated roles in cancer and development, and a preponderance of targets encoding extracellular or surface proteins, reflecting the marked effects of Runx on cell adhesion. Furthermore, in silico prediction of resistance to glucocorticoid growth inhibition was confirmed in fibroblasts and lymphoid cells expressing ectopic Runx. The effects of fibroblast expression of common RUNX1 fusion oncoproteins (RUNX1-ETO, TEL-RUNX1 and CBFB-MYH11) were also tested. Although two direct Runx activation target genes were repressed (Ncam1 and Rgc32), the fusion proteins appeared to disrupt the regulation of downregulated targets (Cebpd, Id2 and Rgs2) rather than impose constitutive repression. These results elucidate the oncogenic potential of the Runx family and reveal novel targets for therapeutic inhibition."}
{"STANDARD_NAME":"WOTTON_RUNX_TARGETS_DN","SYSTEMATIC_NAME":"M4303","ORGANISM":"Mus musculus","PMID":"18560354","AUTHORS":"Wotton S,Terry A,Kilbey A,Jenkins A,Herzyk P,Cameron E,Neil JC","GEOID":"GSE11732","EXACT_SOURCE":"Table 1","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Common target genes down-regulated by all three Runx family members (RUNX1, RUNX2, and RUNX3 [GeneID=861;860;864]) in MEF cells (embryonic fibroblasts).","DESCRIPTION_FULL":"The Runx genes are important in development and cancer, where they can act either as oncogenes or tumour suppressors. We compared the effects of ectopic Runx expression in established fibroblasts, where all three genes produce an indistinguishable phenotype entailing epithelioid morphology and increased cell survival under stress conditions. Gene array analysis revealed a strongly overlapping transcriptional signature, with no examples of opposing regulation of the same target gene. A common set of 50 highly regulated genes was identified after further filtering on regulation by inducible RUNX1-ER. This set revealed a strong bias toward genes with annotated roles in cancer and development, and a preponderance of targets encoding extracellular or surface proteins, reflecting the marked effects of Runx on cell adhesion. Furthermore, in silico prediction of resistance to glucocorticoid growth inhibition was confirmed in fibroblasts and lymphoid cells expressing ectopic Runx. The effects of fibroblast expression of common RUNX1 fusion oncoproteins (RUNX1-ETO, TEL-RUNX1 and CBFB-MYH11) were also tested. Although two direct Runx activation target genes were repressed (Ncam1 and Rgc32), the fusion proteins appeared to disrupt the regulation of downregulated targets (Cebpd, Id2 and Rgs2) rather than impose constitutive repression. These results elucidate the oncogenic potential of the Runx family and reveal novel targets for therapeutic inhibition."}
{"STANDARD_NAME":"FUJIWARA_PARK2_HEPATOCYTE_PROLIFERATION_UP","SYSTEMATIC_NAME":"M1338","ORGANISM":"Mus musculus","PMID":"18574468","AUTHORS":"Fujiwara M,Marusawa H,Wang HQ,Iwai A,Ikeuchi K,Imai Y,Kataoka A,Nukina N,Takahashi R,Chiba T","GEOID":"GSE9651","EXACT_SOURCE":"Table 1","CHIP":"Mouse_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes commonly up-regulated in both non-tumorous and tumorous liver tissues of PARK2 [GeneID=5071] knockout mice.","DESCRIPTION_FULL":"The parkin was first identified as a gene implicated in autosomal recessive juvenile Parkinsonism. Deregulation of the parkin gene, however, has been observed in various human cancers, suggesting that the parkin gene may be important in tumorigenesis. To gain insight into the physiologic role of parkin, we generated parkin-/- mice lacking exon 3 of the parkin gene. We demonstrated here that parkin-/- mice had enhanced hepatocyte proliferation and developed macroscopic hepatic tumors with the characteristics of hepatocellular carcinoma. Microarray analyses revealed that parkin deficiency caused the alteration of gene expression profiles in the liver. Among them, endogenous follistatin is commonly upregulated in both nontumorous and tumorous liver tissues of parkin-deficient mice. Parkin deficiency resulted in suppression of caspase activation and rendered hepatocytes resistant to apoptosis in a follistatin-dependent manner. These results suggested that parkin deficiency caused enhanced hepatocyte proliferation and resistance to apoptosis, resulting in hepatic tumor development, partially through the upregulation of endogenous follistatin. The finding that parkin-deficient mice are susceptible to hepatocarcinogenesis provided the first evidence showing that parkin is indeed a tumor suppressor gene."}
{"STANDARD_NAME":"FUJIWARA_PARK2_HEPATOCYTE_PROLIFERATION_DN","SYSTEMATIC_NAME":"M1342","ORGANISM":"Mus musculus","PMID":"18574468","AUTHORS":"Fujiwara M,Marusawa H,Wang HQ,Iwai A,Ikeuchi K,Imai Y,Kataoka A,Nukina N,Takahashi R,Chiba T","GEOID":"GSE9651","EXACT_SOURCE":"Table 3S","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes commonly down-regulated in both non-tumorous and tumorous liver tissues of PARK2 [GeneID=5071] knockout mice.","DESCRIPTION_FULL":"The parkin was first identified as a gene implicated in autosomal recessive juvenile Parkinsonism. Deregulation of the parkin gene, however, has been observed in various human cancers, suggesting that the parkin gene may be important in tumorigenesis. To gain insight into the physiologic role of parkin, we generated parkin-/- mice lacking exon 3 of the parkin gene. We demonstrated here that parkin-/- mice had enhanced hepatocyte proliferation and developed macroscopic hepatic tumors with the characteristics of hepatocellular carcinoma. Microarray analyses revealed that parkin deficiency caused the alteration of gene expression profiles in the liver. Among them, endogenous follistatin is commonly upregulated in both nontumorous and tumorous liver tissues of parkin-deficient mice. Parkin deficiency resulted in suppression of caspase activation and rendered hepatocytes resistant to apoptosis in a follistatin-dependent manner. These results suggested that parkin deficiency caused enhanced hepatocyte proliferation and resistance to apoptosis, resulting in hepatic tumor development, partially through the upregulation of endogenous follistatin. The finding that parkin-deficient mice are susceptible to hepatocarcinogenesis provided the first evidence showing that parkin is indeed a tumor suppressor gene."}
{"STANDARD_NAME":"FUJIWARA_PARK2_IN_LIVER_CANCER_UP","SYSTEMATIC_NAME":"M1343","ORGANISM":"Mus musculus","PMID":"18574468","AUTHORS":"Fujiwara M,Marusawa H,Wang HQ,Iwai A,Ikeuchi K,Imai Y,Kataoka A,Nukina N,Takahashi R,Chiba T","GEOID":"GSE9651","EXACT_SOURCE":"Table S1","CHIP":"Mouse_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in tumorous liver tissues from PARK2 [GeneID=5071] knockout mice compared to the normal, non-tumorous tissue from wild type mice.","DESCRIPTION_FULL":"The parkin was first identified as a gene implicated in autosomal recessive juvenile Parkinsonism. Deregulation of the parkin gene, however, has been observed in various human cancers, suggesting that the parkin gene may be important in tumorigenesis. To gain insight into the physiologic role of parkin, we generated parkin-/- mice lacking exon 3 of the parkin gene. We demonstrated here that parkin-/- mice had enhanced hepatocyte proliferation and developed macroscopic hepatic tumors with the characteristics of hepatocellular carcinoma. Microarray analyses revealed that parkin deficiency caused the alteration of gene expression profiles in the liver. Among them, endogenous follistatin is commonly upregulated in both nontumorous and tumorous liver tissues of parkin-deficient mice. Parkin deficiency resulted in suppression of caspase activation and rendered hepatocytes resistant to apoptosis in a follistatin-dependent manner. These results suggested that parkin deficiency caused enhanced hepatocyte proliferation and resistance to apoptosis, resulting in hepatic tumor development, partially through the upregulation of endogenous follistatin. The finding that parkin-deficient mice are susceptible to hepatocarcinogenesis provided the first evidence showing that parkin is indeed a tumor suppressor gene."}
{"STANDARD_NAME":"FUJIWARA_PARK2_IN_LIVER_CANCER_DN","SYSTEMATIC_NAME":"M1344","ORGANISM":"Mus musculus","PMID":"18574468","AUTHORS":"Fujiwara M,Marusawa H,Wang HQ,Iwai A,Ikeuchi K,Imai Y,Kataoka A,Nukina N,Takahashi R,Chiba T","GEOID":"GSE9651","EXACT_SOURCE":"Table S2","CHIP":"Mouse_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in tumorous liver tissues from PARK2 [GeneID=5071] knockout mice compared to the normal, non-tumorous tissue from wild type mice.","DESCRIPTION_FULL":"The parkin was first identified as a gene implicated in autosomal recessive juvenile Parkinsonism. Deregulation of the parkin gene, however, has been observed in various human cancers, suggesting that the parkin gene may be important in tumorigenesis. To gain insight into the physiologic role of parkin, we generated parkin-/- mice lacking exon 3 of the parkin gene. We demonstrated here that parkin-/- mice had enhanced hepatocyte proliferation and developed macroscopic hepatic tumors with the characteristics of hepatocellular carcinoma. Microarray analyses revealed that parkin deficiency caused the alteration of gene expression profiles in the liver. Among them, endogenous follistatin is commonly upregulated in both nontumorous and tumorous liver tissues of parkin-deficient mice. Parkin deficiency resulted in suppression of caspase activation and rendered hepatocytes resistant to apoptosis in a follistatin-dependent manner. These results suggested that parkin deficiency caused enhanced hepatocyte proliferation and resistance to apoptosis, resulting in hepatic tumor development, partially through the upregulation of endogenous follistatin. The finding that parkin-deficient mice are susceptible to hepatocarcinogenesis provided the first evidence showing that parkin is indeed a tumor suppressor gene."}
{"STANDARD_NAME":"GARCIA_TARGETS_OF_FLI1_AND_DAX1_UP","SYSTEMATIC_NAME":"M6117","ORGANISM":"Homo sapiens","PMID":"18591936","AUTHORS":"García-Aragoncillo E,Carrillo J,Lalli E,Agra N,Gómez-López G,Pestaña A,Alonso J","EXACT_SOURCE":"Table 1S","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in the A673 cells (Ewing sarcoma) after double knockdown of both FLI1 and DAX1 [GeneID=2313;190] by RNAi.","DESCRIPTION_FULL":"The molecular hallmark of the Ewing's family of tumors is the presence of balanced chromosomal translocations, leading to the formation of chimerical transcription factors (that is, EWS/FLI1) that play a pivotal role in the pathogenesis of Ewing's tumors by deregulating gene expression. We have recently demonstrated that DAX1 (NR0B1), an orphan nuclear receptor that was not previously implicated in cancer, is induced by the EWS/FLI1 oncoprotein and is highly expressed in Ewing's tumors, suggesting that DAX1 is a biologically relevant target of EWS/FLI1-mediated oncogenesis. In this study we demonstrate that DAX1 is a direct transcriptional target of the EWS/FLI1 oncoprotein through its binding to a GGAA-rich region in the DAX1 promoter and show that DAX1 is a key player of EWS/FLI1-mediated oncogenesis. DAX1 silencing using an inducible model of RNA interference induces growth arrest in the A673 Ewing's cell line and severely impairs its capability to grow in semisolid medium and form tumors in immunodeficient mice. Gene expression profile analysis demonstrated that about 10% of the genes regulated by EWS/FLI1 in Ewing's cells are DAX1 targets, confirming the importance of DAX1 in Ewing's oncogenesis. Functional genomic analysis, validated by quantitative RT-PCR, showed that genes implicated in cell-cycle progression, such as CDK2, CDC6, MCM10 or SKP2 were similarly regulated by EWS/FLI1 and DAX1. These findings indicate that DAX1 is important in the pathogenesis of the Ewing's family of tumors, identify new functions for DAX1 as a cell-cycle progression regulator and open the possibility to new therapeutic approaches based on DAX1 function interference."}
{"STANDARD_NAME":"RICKMAN_TUMOR_DIFFERENTIATED_WELL_VS_POORLY_UP","SYSTEMATIC_NAME":"M904","ORGANISM":"Homo sapiens","PMID":"18679425","AUTHORS":"Rickman DS,Millon R,De Reynies A,Thomas E,Wasylyk C,Muller D,Abecassis J,Wasylyk B","EXACT_SOURCE":"Table 4S: Diff1v3","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Up-regulated genes that vary between HNSCC (head and neck squamous cell carcinoma) groups formed on the basis of their level of pathological differentiation: well vs poorly differentiated tumors.","DESCRIPTION_FULL":"Propensity for subsequent distant metastasis in head and neck squamous-cell carcinoma (HNSCC) was analysed using 186 primary tumours from patients initially treated by surgery that developed (M) or did not develop (NM) metastases as the first recurrent event. Transcriptome (Affymetrix HGU133_Plus2, QRT-PCR) and array-comparative genomic hybridization data were collected. Non-supervised hierarchical clustering based on Affymetrix data distinguished tumours differing in pathological differentiation, and identified associated functional changes. Propensity for metastasis was not associated with these subgroups. Using QRT-PCR data we identified a four-gene model (PSMD10, HSD17B12, FLOT2 and KRT17) that predicts M/NM status with 77% success in a separate 79-sample validation group of HNSCC samples. This prediction is independent of clinical criteria (age, lymph node status, stage, differentiation and localization). The most significantly altered transcripts in M versus NM were significantly associated to metastasis-related functions, including adhesion, mobility and cell survival. Several genomic modifications were significantly associated with M/NM status (most notably gains at 4q11-22 and Xq12-28; losses at 11q14-24 and 17q11 losses) and partly linked to transcription modifications. This work yields a basis for the development of prognostic molecular signatures, markers and therapeutic targets for HNSCC metastasis."}
{"STANDARD_NAME":"RICKMAN_TUMOR_DIFFERENTIATED_WELL_VS_POORLY_DN","SYSTEMATIC_NAME":"M12527","ORGANISM":"Homo sapiens","PMID":"18679425","AUTHORS":"Rickman DS,Millon R,De Reynies A,Thomas E,Wasylyk C,Muller D,Abecassis J,Wasylyk B","EXACT_SOURCE":"Table 4S: Diff1v3","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated genes that vary between HNSCC (head and neck squamous cell carcinoma) groups formed on the basis of their level of pathological differentiation: well vs poorly differentiated tumors.","DESCRIPTION_FULL":"Propensity for subsequent distant metastasis in head and neck squamous-cell carcinoma (HNSCC) was analysed using 186 primary tumours from patients initially treated by surgery that developed (M) or did not develop (NM) metastases as the first recurrent event. Transcriptome (Affymetrix HGU133_Plus2, QRT-PCR) and array-comparative genomic hybridization data were collected. Non-supervised hierarchical clustering based on Affymetrix data distinguished tumours differing in pathological differentiation, and identified associated functional changes. Propensity for metastasis was not associated with these subgroups. Using QRT-PCR data we identified a four-gene model (PSMD10, HSD17B12, FLOT2 and KRT17) that predicts M/NM status with 77% success in a separate 79-sample validation group of HNSCC samples. This prediction is independent of clinical criteria (age, lymph node status, stage, differentiation and localization). The most significantly altered transcripts in M versus NM were significantly associated to metastasis-related functions, including adhesion, mobility and cell survival. Several genomic modifications were significantly associated with M/NM status (most notably gains at 4q11-22 and Xq12-28; losses at 11q14-24 and 17q11 losses) and partly linked to transcription modifications. This work yields a basis for the development of prognostic molecular signatures, markers and therapeutic targets for HNSCC metastasis."}
{"STANDARD_NAME":"RICKMAN_TUMOR_DIFFERENTIATED_WELL_VS_MODERATELY_UP","SYSTEMATIC_NAME":"M7141","ORGANISM":"Homo sapiens","PMID":"18679425","AUTHORS":"Rickman DS,Millon R,De Reynies A,Thomas E,Wasylyk C,Muller D,Abecassis J,Wasylyk B","EXACT_SOURCE":"Table 4S: Diff1v2","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Up-regulated genes that vary between HNSCC (head and neck squamous cell carcinoma) groups formed on the basis of their level of pathological differentiation: well vs moderately differentiated tumors.","DESCRIPTION_FULL":"Propensity for subsequent distant metastasis in head and neck squamous-cell carcinoma (HNSCC) was analysed using 186 primary tumours from patients initially treated by surgery that developed (M) or did not develop (NM) metastases as the first recurrent event. Transcriptome (Affymetrix HGU133_Plus2, QRT-PCR) and array-comparative genomic hybridization data were collected. Non-supervised hierarchical clustering based on Affymetrix data distinguished tumours differing in pathological differentiation, and identified associated functional changes. Propensity for metastasis was not associated with these subgroups. Using QRT-PCR data we identified a four-gene model (PSMD10, HSD17B12, FLOT2 and KRT17) that predicts M/NM status with 77% success in a separate 79-sample validation group of HNSCC samples. This prediction is independent of clinical criteria (age, lymph node status, stage, differentiation and localization). The most significantly altered transcripts in M versus NM were significantly associated to metastasis-related functions, including adhesion, mobility and cell survival. Several genomic modifications were significantly associated with M/NM status (most notably gains at 4q11-22 and Xq12-28; losses at 11q14-24 and 17q11 losses) and partly linked to transcription modifications. This work yields a basis for the development of prognostic molecular signatures, markers and therapeutic targets for HNSCC metastasis."}
{"STANDARD_NAME":"RICKMAN_TUMOR_DIFFERENTIATED_WELL_VS_MODERATELY_DN","SYSTEMATIC_NAME":"M9524","ORGANISM":"Homo sapiens","PMID":"18679425","AUTHORS":"Rickman DS,Millon R,De Reynies A,Thomas E,Wasylyk C,Muller D,Abecassis J,Wasylyk B","EXACT_SOURCE":"Table 4S: Diff1v2","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated genes that vary between HNSCC (head and neck squamous cell carcinoma) groups formed on the basis of their level of pathological differentiation: well vs moderately differentiated tumors.","DESCRIPTION_FULL":"Propensity for subsequent distant metastasis in head and neck squamous-cell carcinoma (HNSCC) was analysed using 186 primary tumours from patients initially treated by surgery that developed (M) or did not develop (NM) metastases as the first recurrent event. Transcriptome (Affymetrix HGU133_Plus2, QRT-PCR) and array-comparative genomic hybridization data were collected. Non-supervised hierarchical clustering based on Affymetrix data distinguished tumours differing in pathological differentiation, and identified associated functional changes. Propensity for metastasis was not associated with these subgroups. Using QRT-PCR data we identified a four-gene model (PSMD10, HSD17B12, FLOT2 and KRT17) that predicts M/NM status with 77% success in a separate 79-sample validation group of HNSCC samples. This prediction is independent of clinical criteria (age, lymph node status, stage, differentiation and localization). The most significantly altered transcripts in M versus NM were significantly associated to metastasis-related functions, including adhesion, mobility and cell survival. Several genomic modifications were significantly associated with M/NM status (most notably gains at 4q11-22 and Xq12-28; losses at 11q14-24 and 17q11 losses) and partly linked to transcription modifications. This work yields a basis for the development of prognostic molecular signatures, markers and therapeutic targets for HNSCC metastasis."}
{"STANDARD_NAME":"RICKMAN_TUMOR_DIFFERENTIATED_MODERATELY_VS_POORLY_UP","SYSTEMATIC_NAME":"M15672","ORGANISM":"Homo sapiens","PMID":"18679425","AUTHORS":"Rickman DS,Millon R,De Reynies A,Thomas E,Wasylyk C,Muller D,Abecassis J,Wasylyk B","EXACT_SOURCE":"Table 4S: FC3/2 > 1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Up-regulated genes that vary between HNSCC (head and neck squamous cell carcinoma) groups formed on the basis of their level of pathological differentiation: moderately vs poorly differentiated tumors.","DESCRIPTION_FULL":"Propensity for subsequent distant metastasis in head and neck squamous-cell carcinoma (HNSCC) was analysed using 186 primary tumours from patients initially treated by surgery that developed (M) or did not develop (NM) metastases as the first recurrent event. Transcriptome (Affymetrix HGU133_Plus2, QRT-PCR) and array-comparative genomic hybridization data were collected. Non-supervised hierarchical clustering based on Affymetrix data distinguished tumours differing in pathological differentiation, and identified associated functional changes. Propensity for metastasis was not associated with these subgroups. Using QRT-PCR data we identified a four-gene model (PSMD10, HSD17B12, FLOT2 and KRT17) that predicts M/NM status with 77% success in a separate 79-sample validation group of HNSCC samples. This prediction is independent of clinical criteria (age, lymph node status, stage, differentiation and localization). The most significantly altered transcripts in M versus NM were significantly associated to metastasis-related functions, including adhesion, mobility and cell survival. Several genomic modifications were significantly associated with M/NM status (most notably gains at 4q11-22 and Xq12-28; losses at 11q14-24 and 17q11 losses) and partly linked to transcription modifications. This work yields a basis for the development of prognostic molecular signatures, markers and therapeutic targets for HNSCC metastasis."}
{"STANDARD_NAME":"RICKMAN_METASTASIS_UP","SYSTEMATIC_NAME":"M9752","ORGANISM":"Homo sapiens","PMID":"18679425","AUTHORS":"Rickman DS,Millon R,De Reynies A,Thomas E,Wasylyk C,Muller D,Abecassis J,Wasylyk B","EXACT_SOURCE":"Table 7S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in metastatic vs non-metastatic HNSCC (head and neck squamous cell carcinoma) samples.","DESCRIPTION_FULL":"Propensity for subsequent distant metastasis in head and neck squamous-cell carcinoma (HNSCC) was analysed using 186 primary tumours from patients initially treated by surgery that developed (M) or did not develop (NM) metastases as the first recurrent event. Transcriptome (Affymetrix HGU133_Plus2, QRT-PCR) and array-comparative genomic hybridization data were collected. Non-supervised hierarchical clustering based on Affymetrix data distinguished tumours differing in pathological differentiation, and identified associated functional changes. Propensity for metastasis was not associated with these subgroups. Using QRT-PCR data we identified a four-gene model (PSMD10, HSD17B12, FLOT2 and KRT17) that predicts M/NM status with 77% success in a separate 79-sample validation group of HNSCC samples. This prediction is independent of clinical criteria (age, lymph node status, stage, differentiation and localization). The most significantly altered transcripts in M versus NM were significantly associated to metastasis-related functions, including adhesion, mobility and cell survival. Several genomic modifications were significantly associated with M/NM status (most notably gains at 4q11-22 and Xq12-28; losses at 11q14-24 and 17q11 losses) and partly linked to transcription modifications. This work yields a basis for the development of prognostic molecular signatures, markers and therapeutic targets for HNSCC metastasis."}
{"STANDARD_NAME":"FRIDMAN_SENESCENCE_UP","SYSTEMATIC_NAME":"M9143","ORGANISM":"Homo sapiens","PMID":"18711403","AUTHORS":"Fridman AL,Tainsky MA","EXACT_SOURCE":"Table 2S: senescent cells","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in senescent cells.","DESCRIPTION_FULL":"Bypassing cellular senescence and becoming immortal is a prerequisite step in the tumorigenic transformation of a cell. It has long been known that loss of a key tumor suppressor gene, such as p53, is necessary, but not sufficient, for spontaneous cellular immortalization. Therefore, there must be additional mutations and/or epigenetic alterations required for immortalization to occur. Early work on these processes included somatic cell genetic studies to estimate the number of senescence genes, and microcell-mediated transfer of chromosomes into immortalized cells to identify putative senescence-inducing genetic loci. These principal studies laid the foundation for the field of senescence/immortalization, but were labor intensive and the results were somewhat limited. The advent of gene expression profiling and bioinformatics analysis greatly facilitated the identification of genes and pathways that regulate cellular senescence/immortalization. In this review, we present the findings of several gene expression profiling studies and supporting functional data, where available. We identified universal genes regulating senescence/immortalization and found that the key regulator genes represented six pathways: the cell cycle pRB/p53, cytoskeletal, interferon-related, insulin growth factor-related, MAP kinase and oxidative stress pathway. The identification of the genes and pathways regulating senescence/immortalization could provide novel molecular targets for the treatment and/or prevention of cancer."}
{"STANDARD_NAME":"FRIDMAN_SENESCENCE_DN","SYSTEMATIC_NAME":"M9487","ORGANISM":"Homo sapiens","PMID":"18711403","AUTHORS":"Fridman AL,Tainsky MA","EXACT_SOURCE":"Table 2S: senescent cells","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in senescent cells.","DESCRIPTION_FULL":"Bypassing cellular senescence and becoming immortal is a prerequisite step in the tumorigenic transformation of a cell. It has long been known that loss of a key tumor suppressor gene, such as p53, is necessary, but not sufficient, for spontaneous cellular immortalization. Therefore, there must be additional mutations and/or epigenetic alterations required for immortalization to occur. Early work on these processes included somatic cell genetic studies to estimate the number of senescence genes, and microcell-mediated transfer of chromosomes into immortalized cells to identify putative senescence-inducing genetic loci. These principal studies laid the foundation for the field of senescence/immortalization, but were labor intensive and the results were somewhat limited. The advent of gene expression profiling and bioinformatics analysis greatly facilitated the identification of genes and pathways that regulate cellular senescence/immortalization. In this review, we present the findings of several gene expression profiling studies and supporting functional data, where available. We identified universal genes regulating senescence/immortalization and found that the key regulator genes represented six pathways: the cell cycle pRB/p53, cytoskeletal, interferon-related, insulin growth factor-related, MAP kinase and oxidative stress pathway. The identification of the genes and pathways regulating senescence/immortalization could provide novel molecular targets for the treatment and/or prevention of cancer."}
{"STANDARD_NAME":"FRIDMAN_IMMORTALIZATION_DN","SYSTEMATIC_NAME":"M7404","ORGANISM":"Homo sapiens","PMID":"18711403","AUTHORS":"Fridman AL,Tainsky MA","EXACT_SOURCE":"Table 2S: immortalized cells","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in immortalized cell lines.","DESCRIPTION_FULL":"Bypassing cellular senescence and becoming immortal is a prerequisite step in the tumorigenic transformation of a cell. It has long been known that loss of a key tumor suppressor gene, such as p53, is necessary, but not sufficient, for spontaneous cellular immortalization. Therefore, there must be additional mutations and/or epigenetic alterations required for immortalization to occur. Early work on these processes included somatic cell genetic studies to estimate the number of senescence genes, and microcell-mediated transfer of chromosomes into immortalized cells to identify putative senescence-inducing genetic loci. These principal studies laid the foundation for the field of senescence/immortalization, but were labor intensive and the results were somewhat limited. The advent of gene expression profiling and bioinformatics analysis greatly facilitated the identification of genes and pathways that regulate cellular senescence/immortalization. In this review, we present the findings of several gene expression profiling studies and supporting functional data, where available. We identified universal genes regulating senescence/immortalization and found that the key regulator genes represented six pathways: the cell cycle pRB/p53, cytoskeletal, interferon-related, insulin growth factor-related, MAP kinase and oxidative stress pathway. The identification of the genes and pathways regulating senescence/immortalization could provide novel molecular targets for the treatment and/or prevention of cancer."}
{"STANDARD_NAME":"SCHAEFFER_PROSTATE_DEVELOPMENT_6HR_UP","SYSTEMATIC_NAME":"M1346","ORGANISM":"Mus musculus","PMID":"18794802","AUTHORS":"Schaeffer EM,Marchionni L,Huang Z,Simons B,Blackman A,Yu W,Parmigiani G,Berman DM","GEOID":"GSE12077","EXACT_SOURCE":"Table 1S: logFC > 0","CHIP":"Mouse_AGILENT_Array","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in the urogenital sinus (UGS) of day E16 females exposed to the androgen dihydrotestosterone [PubChem=10635] for 6 h.","DESCRIPTION_FULL":"Cancer cells differentiate along specific lineages that largely determine their clinical and biologic behavior. Distinct cancer phenotypes from different cells and organs likely result from unique gene expression repertoires established in the embryo and maintained after malignant transformation. We used comprehensive gene expression analysis to examine this concept in the prostate, an organ with a tractable developmental program and a high propensity for cancer. We focused on gene expression in the murine prostate rudiment at three time points during the first 48 h of exposure to androgen, which initiates proliferation and invasion of prostate epithelial buds into surrounding urogenital sinus mesenchyme. Here, we show that androgen exposure regulates genes previously implicated in prostate carcinogenesis comprising pathways for the phosphatase and tensin homolog (PTEN), fibroblast growth factor (FGF)/mitogen-activated protein kinase (MAPK), and Wnt signaling along with cellular programs regulating such 'hallmarks' of cancer as angiogenesis, apoptosis, migration and proliferation. We found statistically significant evidence for novel androgen-induced gene regulation events that establish and/or maintain prostate cell fate. These include modulation of gene expression through microRNAs, expression of specific transcription factors, and regulation of their predicted targets. By querying public gene expression databases from other tissues, we found that rather than generally characterizing androgen exposure or epithelial budding, the early prostate development program more closely resembles the program for human prostate cancer. Most importantly, early androgen-regulated genes and functional themes associated with prostate development were highly enriched in contrasts between increasingly lethal forms of prostate cancer, confirming a 'reactivation' of embryonic pathways for proliferation and invasion in prostate cancer progression. Among the genes with the most significant links to the development and cancer, we highlight coordinate induction of the transcription factor Sox9 and suppression of the proapoptotic phospholipid-binding protein Annexin A1 that link early prostate development to early prostate carcinogenesis. These results credential early prostate development as a reliable and valid model system for the investigation of genes and pathways that drive prostate cancer."}
{"STANDARD_NAME":"SCHAEFFER_PROSTATE_DEVELOPMENT_12HR_DN","SYSTEMATIC_NAME":"M1349","ORGANISM":"Mus musculus","PMID":"18794802","AUTHORS":"Schaeffer EM,Marchionni L,Huang Z,Simons B,Blackman A,Yu W,Parmigiani G,Berman DM","GEOID":"GSE12077","EXACT_SOURCE":"Table 2S: logFC < 0","CHIP":"Mouse_AGILENT_Array","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in the urogenital sinus (UGS) of day E16 females exposed to the androgen dihydrotestosterone [PubChem=10635] for 12 h.","DESCRIPTION_FULL":"Cancer cells differentiate along specific lineages that largely determine their clinical and biologic behavior. Distinct cancer phenotypes from different cells and organs likely result from unique gene expression repertoires established in the embryo and maintained after malignant transformation. We used comprehensive gene expression analysis to examine this concept in the prostate, an organ with a tractable developmental program and a high propensity for cancer. We focused on gene expression in the murine prostate rudiment at three time points during the first 48 h of exposure to androgen, which initiates proliferation and invasion of prostate epithelial buds into surrounding urogenital sinus mesenchyme. Here, we show that androgen exposure regulates genes previously implicated in prostate carcinogenesis comprising pathways for the phosphatase and tensin homolog (PTEN), fibroblast growth factor (FGF)/mitogen-activated protein kinase (MAPK), and Wnt signaling along with cellular programs regulating such 'hallmarks' of cancer as angiogenesis, apoptosis, migration and proliferation. We found statistically significant evidence for novel androgen-induced gene regulation events that establish and/or maintain prostate cell fate. These include modulation of gene expression through microRNAs, expression of specific transcription factors, and regulation of their predicted targets. By querying public gene expression databases from other tissues, we found that rather than generally characterizing androgen exposure or epithelial budding, the early prostate development program more closely resembles the program for human prostate cancer. Most importantly, early androgen-regulated genes and functional themes associated with prostate development were highly enriched in contrasts between increasingly lethal forms of prostate cancer, confirming a 'reactivation' of embryonic pathways for proliferation and invasion in prostate cancer progression. Among the genes with the most significant links to the development and cancer, we highlight coordinate induction of the transcription factor Sox9 and suppression of the proapoptotic phospholipid-binding protein Annexin A1 that link early prostate development to early prostate carcinogenesis. These results credential early prostate development as a reliable and valid model system for the investigation of genes and pathways that drive prostate cancer."}
{"STANDARD_NAME":"SCHAEFFER_PROSTATE_DEVELOPMENT_AND_CANCER_BOX1_UP","SYSTEMATIC_NAME":"M1353","ORGANISM":"Mus musculus","PMID":"18794802","AUTHORS":"Schaeffer EM,Marchionni L,Huang Z,Simons B,Blackman A,Yu W,Parmigiani G,Berman DM","GEOID":"GSE12077","EXACT_SOURCE":"Table 13S","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Early prostate development genes (up-regulated at 6 h dihydrotestosterone [PubChem=10635]) which are also up-regulated in normal epithelium vs high grade prostatic intraepithelial neoplasia (PIN).","DESCRIPTION_FULL":"Cancer cells differentiate along specific lineages that largely determine their clinical and biologic behavior. Distinct cancer phenotypes from different cells and organs likely result from unique gene expression repertoires established in the embryo and maintained after malignant transformation. We used comprehensive gene expression analysis to examine this concept in the prostate, an organ with a tractable developmental program and a high propensity for cancer. We focused on gene expression in the murine prostate rudiment at three time points during the first 48 h of exposure to androgen, which initiates proliferation and invasion of prostate epithelial buds into surrounding urogenital sinus mesenchyme. Here, we show that androgen exposure regulates genes previously implicated in prostate carcinogenesis comprising pathways for the phosphatase and tensin homolog (PTEN), fibroblast growth factor (FGF)/mitogen-activated protein kinase (MAPK), and Wnt signaling along with cellular programs regulating such 'hallmarks' of cancer as angiogenesis, apoptosis, migration and proliferation. We found statistically significant evidence for novel androgen-induced gene regulation events that establish and/or maintain prostate cell fate. These include modulation of gene expression through microRNAs, expression of specific transcription factors, and regulation of their predicted targets. By querying public gene expression databases from other tissues, we found that rather than generally characterizing androgen exposure or epithelial budding, the early prostate development program more closely resembles the program for human prostate cancer. Most importantly, early androgen-regulated genes and functional themes associated with prostate development were highly enriched in contrasts between increasingly lethal forms of prostate cancer, confirming a 'reactivation' of embryonic pathways for proliferation and invasion in prostate cancer progression. Among the genes with the most significant links to the development and cancer, we highlight coordinate induction of the transcription factor Sox9 and suppression of the proapoptotic phospholipid-binding protein Annexin A1 that link early prostate development to early prostate carcinogenesis. These results credential early prostate development as a reliable and valid model system for the investigation of genes and pathways that drive prostate cancer."}
{"STANDARD_NAME":"SCHAEFFER_PROSTATE_DEVELOPMENT_AND_CANCER_BOX1_DN","SYSTEMATIC_NAME":"M1355","ORGANISM":"Mus musculus","PMID":"18794802","AUTHORS":"Schaeffer EM,Marchionni L,Huang Z,Simons B,Blackman A,Yu W,Parmigiani G,Berman DM","GEOID":"GSE12077","EXACT_SOURCE":"Table 13S","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Early prostate development genes (down-regulated at 6 h dihydrotestosterone [PubChem=10635]) which are also down-regulated in normal epithelium vs high grade prostatic intraepithelial neoplasia (PIN).","DESCRIPTION_FULL":"Cancer cells differentiate along specific lineages that largely determine their clinical and biologic behavior. Distinct cancer phenotypes from different cells and organs likely result from unique gene expression repertoires established in the embryo and maintained after malignant transformation. We used comprehensive gene expression analysis to examine this concept in the prostate, an organ with a tractable developmental program and a high propensity for cancer. We focused on gene expression in the murine prostate rudiment at three time points during the first 48 h of exposure to androgen, which initiates proliferation and invasion of prostate epithelial buds into surrounding urogenital sinus mesenchyme. Here, we show that androgen exposure regulates genes previously implicated in prostate carcinogenesis comprising pathways for the phosphatase and tensin homolog (PTEN), fibroblast growth factor (FGF)/mitogen-activated protein kinase (MAPK), and Wnt signaling along with cellular programs regulating such 'hallmarks' of cancer as angiogenesis, apoptosis, migration and proliferation. We found statistically significant evidence for novel androgen-induced gene regulation events that establish and/or maintain prostate cell fate. These include modulation of gene expression through microRNAs, expression of specific transcription factors, and regulation of their predicted targets. By querying public gene expression databases from other tissues, we found that rather than generally characterizing androgen exposure or epithelial budding, the early prostate development program more closely resembles the program for human prostate cancer. Most importantly, early androgen-regulated genes and functional themes associated with prostate development were highly enriched in contrasts between increasingly lethal forms of prostate cancer, confirming a 'reactivation' of embryonic pathways for proliferation and invasion in prostate cancer progression. Among the genes with the most significant links to the development and cancer, we highlight coordinate induction of the transcription factor Sox9 and suppression of the proapoptotic phospholipid-binding protein Annexin A1 that link early prostate development to early prostate carcinogenesis. These results credential early prostate development as a reliable and valid model system for the investigation of genes and pathways that drive prostate cancer."}
{"STANDARD_NAME":"SCHAEFFER_PROSTATE_DEVELOPMENT_AND_CANCER_BOX2_UP","SYSTEMATIC_NAME":"M1356","ORGANISM":"Mus musculus","PMID":"18794802","AUTHORS":"Schaeffer EM,Marchionni L,Huang Z,Simons B,Blackman A,Yu W,Parmigiani G,Berman DM","GEOID":"GSE12077","EXACT_SOURCE":"Table 14S","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Early prostate development genes (up-regulated at 6 hr dihydrotestosterone [PubChem=10635]) which are also up-regulated in high grade prostatic intraepithelial neoplasia (PIN) vs invasive cancer.","DESCRIPTION_FULL":"Cancer cells differentiate along specific lineages that largely determine their clinical and biologic behavior. Distinct cancer phenotypes from different cells and organs likely result from unique gene expression repertoires established in the embryo and maintained after malignant transformation. We used comprehensive gene expression analysis to examine this concept in the prostate, an organ with a tractable developmental program and a high propensity for cancer. We focused on gene expression in the murine prostate rudiment at three time points during the first 48 h of exposure to androgen, which initiates proliferation and invasion of prostate epithelial buds into surrounding urogenital sinus mesenchyme. Here, we show that androgen exposure regulates genes previously implicated in prostate carcinogenesis comprising pathways for the phosphatase and tensin homolog (PTEN), fibroblast growth factor (FGF)/mitogen-activated protein kinase (MAPK), and Wnt signaling along with cellular programs regulating such 'hallmarks' of cancer as angiogenesis, apoptosis, migration and proliferation. We found statistically significant evidence for novel androgen-induced gene regulation events that establish and/or maintain prostate cell fate. These include modulation of gene expression through microRNAs, expression of specific transcription factors, and regulation of their predicted targets. By querying public gene expression databases from other tissues, we found that rather than generally characterizing androgen exposure or epithelial budding, the early prostate development program more closely resembles the program for human prostate cancer. Most importantly, early androgen-regulated genes and functional themes associated with prostate development were highly enriched in contrasts between increasingly lethal forms of prostate cancer, confirming a 'reactivation' of embryonic pathways for proliferation and invasion in prostate cancer progression. Among the genes with the most significant links to the development and cancer, we highlight coordinate induction of the transcription factor Sox9 and suppression of the proapoptotic phospholipid-binding protein Annexin A1 that link early prostate development to early prostate carcinogenesis. These results credential early prostate development as a reliable and valid model system for the investigation of genes and pathways that drive prostate cancer."}
{"STANDARD_NAME":"SCHAEFFER_PROSTATE_DEVELOPMENT_AND_CANCER_BOX2_DN","SYSTEMATIC_NAME":"M1357","ORGANISM":"Mus musculus","PMID":"18794802","AUTHORS":"Schaeffer EM,Marchionni L,Huang Z,Simons B,Blackman A,Yu W,Parmigiani G,Berman DM","GEOID":"GSE12077","EXACT_SOURCE":"Table 14S","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Early prostate development genes (down-regulated at 6 hr dihydrotestosterone [PubChem=10635]) which are also down-regulated in high grade prostatic intraepithelial neoplasia (PIN) vs invasive cancer.","DESCRIPTION_FULL":"Cancer cells differentiate along specific lineages that largely determine their clinical and biologic behavior. Distinct cancer phenotypes from different cells and organs likely result from unique gene expression repertoires established in the embryo and maintained after malignant transformation. We used comprehensive gene expression analysis to examine this concept in the prostate, an organ with a tractable developmental program and a high propensity for cancer. We focused on gene expression in the murine prostate rudiment at three time points during the first 48 h of exposure to androgen, which initiates proliferation and invasion of prostate epithelial buds into surrounding urogenital sinus mesenchyme. Here, we show that androgen exposure regulates genes previously implicated in prostate carcinogenesis comprising pathways for the phosphatase and tensin homolog (PTEN), fibroblast growth factor (FGF)/mitogen-activated protein kinase (MAPK), and Wnt signaling along with cellular programs regulating such 'hallmarks' of cancer as angiogenesis, apoptosis, migration and proliferation. We found statistically significant evidence for novel androgen-induced gene regulation events that establish and/or maintain prostate cell fate. These include modulation of gene expression through microRNAs, expression of specific transcription factors, and regulation of their predicted targets. By querying public gene expression databases from other tissues, we found that rather than generally characterizing androgen exposure or epithelial budding, the early prostate development program more closely resembles the program for human prostate cancer. Most importantly, early androgen-regulated genes and functional themes associated with prostate development were highly enriched in contrasts between increasingly lethal forms of prostate cancer, confirming a 'reactivation' of embryonic pathways for proliferation and invasion in prostate cancer progression. Among the genes with the most significant links to the development and cancer, we highlight coordinate induction of the transcription factor Sox9 and suppression of the proapoptotic phospholipid-binding protein Annexin A1 that link early prostate development to early prostate carcinogenesis. These results credential early prostate development as a reliable and valid model system for the investigation of genes and pathways that drive prostate cancer."}
{"STANDARD_NAME":"SCHAEFFER_PROSTATE_DEVELOPMENT_AND_CANCER_BOX4_UP","SYSTEMATIC_NAME":"M1358","ORGANISM":"Mus musculus","PMID":"18794802","AUTHORS":"Schaeffer EM,Marchionni L,Huang Z,Simons B,Blackman A,Yu W,Parmigiani G,Berman DM","GEOID":"GSE12077","EXACT_SOURCE":"Table 16S","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Early prostate development genes (up-regulated at 6 hr dihydrotestosterone [PubChem=10635]) which are also up-regulated in localized vs metastatic prostate cancers.","DESCRIPTION_FULL":"Cancer cells differentiate along specific lineages that largely determine their clinical and biologic behavior. Distinct cancer phenotypes from different cells and organs likely result from unique gene expression repertoires established in the embryo and maintained after malignant transformation. We used comprehensive gene expression analysis to examine this concept in the prostate, an organ with a tractable developmental program and a high propensity for cancer. We focused on gene expression in the murine prostate rudiment at three time points during the first 48 h of exposure to androgen, which initiates proliferation and invasion of prostate epithelial buds into surrounding urogenital sinus mesenchyme. Here, we show that androgen exposure regulates genes previously implicated in prostate carcinogenesis comprising pathways for the phosphatase and tensin homolog (PTEN), fibroblast growth factor (FGF)/mitogen-activated protein kinase (MAPK), and Wnt signaling along with cellular programs regulating such 'hallmarks' of cancer as angiogenesis, apoptosis, migration and proliferation. We found statistically significant evidence for novel androgen-induced gene regulation events that establish and/or maintain prostate cell fate. These include modulation of gene expression through microRNAs, expression of specific transcription factors, and regulation of their predicted targets. By querying public gene expression databases from other tissues, we found that rather than generally characterizing androgen exposure or epithelial budding, the early prostate development program more closely resembles the program for human prostate cancer. Most importantly, early androgen-regulated genes and functional themes associated with prostate development were highly enriched in contrasts between increasingly lethal forms of prostate cancer, confirming a 'reactivation' of embryonic pathways for proliferation and invasion in prostate cancer progression. Among the genes with the most significant links to the development and cancer, we highlight coordinate induction of the transcription factor Sox9 and suppression of the proapoptotic phospholipid-binding protein Annexin A1 that link early prostate development to early prostate carcinogenesis. These results credential early prostate development as a reliable and valid model system for the investigation of genes and pathways that drive prostate cancer."}
{"STANDARD_NAME":"SCHAEFFER_PROSTATE_DEVELOPMENT_AND_CANCER_BOX4_DN","SYSTEMATIC_NAME":"M1359","ORGANISM":"Mus musculus","PMID":"18794802","AUTHORS":"Schaeffer EM,Marchionni L,Huang Z,Simons B,Blackman A,Yu W,Parmigiani G,Berman DM","GEOID":"GSE12077","EXACT_SOURCE":"Table 16S","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Early prostate development genes (down-regulated at 6 hr dihydrotestosterone [PubChem=10635]) which are also down-regulated in localized vs metastatic prostate cancers.","DESCRIPTION_FULL":"Cancer cells differentiate along specific lineages that largely determine their clinical and biologic behavior. Distinct cancer phenotypes from different cells and organs likely result from unique gene expression repertoires established in the embryo and maintained after malignant transformation. We used comprehensive gene expression analysis to examine this concept in the prostate, an organ with a tractable developmental program and a high propensity for cancer. We focused on gene expression in the murine prostate rudiment at three time points during the first 48 h of exposure to androgen, which initiates proliferation and invasion of prostate epithelial buds into surrounding urogenital sinus mesenchyme. Here, we show that androgen exposure regulates genes previously implicated in prostate carcinogenesis comprising pathways for the phosphatase and tensin homolog (PTEN), fibroblast growth factor (FGF)/mitogen-activated protein kinase (MAPK), and Wnt signaling along with cellular programs regulating such 'hallmarks' of cancer as angiogenesis, apoptosis, migration and proliferation. We found statistically significant evidence for novel androgen-induced gene regulation events that establish and/or maintain prostate cell fate. These include modulation of gene expression through microRNAs, expression of specific transcription factors, and regulation of their predicted targets. By querying public gene expression databases from other tissues, we found that rather than generally characterizing androgen exposure or epithelial budding, the early prostate development program more closely resembles the program for human prostate cancer. Most importantly, early androgen-regulated genes and functional themes associated with prostate development were highly enriched in contrasts between increasingly lethal forms of prostate cancer, confirming a 'reactivation' of embryonic pathways for proliferation and invasion in prostate cancer progression. Among the genes with the most significant links to the development and cancer, we highlight coordinate induction of the transcription factor Sox9 and suppression of the proapoptotic phospholipid-binding protein Annexin A1 that link early prostate development to early prostate carcinogenesis. These results credential early prostate development as a reliable and valid model system for the investigation of genes and pathways that drive prostate cancer."}
{"STANDARD_NAME":"SCHAEFFER_PROSTATE_DEVELOPMENT_AND_CANCER_BOX5_UP","SYSTEMATIC_NAME":"M1362","ORGANISM":"Mus musculus","PMID":"18794802","AUTHORS":"Schaeffer EM,Marchionni L,Huang Z,Simons B,Blackman A,Yu W,Parmigiani G,Berman DM","GEOID":"GSE12077","EXACT_SOURCE":"Table 17S","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Early prostate development genes (up-regulated at 12 hr dihydrotestosterone [PubChem=10635]) which are also up-regulated in high grade prostatic intraepithelial neoplasia (PIN) vs invasive cancer.","DESCRIPTION_FULL":"Cancer cells differentiate along specific lineages that largely determine their clinical and biologic behavior. Distinct cancer phenotypes from different cells and organs likely result from unique gene expression repertoires established in the embryo and maintained after malignant transformation. We used comprehensive gene expression analysis to examine this concept in the prostate, an organ with a tractable developmental program and a high propensity for cancer. We focused on gene expression in the murine prostate rudiment at three time points during the first 48 h of exposure to androgen, which initiates proliferation and invasion of prostate epithelial buds into surrounding urogenital sinus mesenchyme. Here, we show that androgen exposure regulates genes previously implicated in prostate carcinogenesis comprising pathways for the phosphatase and tensin homolog (PTEN), fibroblast growth factor (FGF)/mitogen-activated protein kinase (MAPK), and Wnt signaling along with cellular programs regulating such 'hallmarks' of cancer as angiogenesis, apoptosis, migration and proliferation. We found statistically significant evidence for novel androgen-induced gene regulation events that establish and/or maintain prostate cell fate. These include modulation of gene expression through microRNAs, expression of specific transcription factors, and regulation of their predicted targets. By querying public gene expression databases from other tissues, we found that rather than generally characterizing androgen exposure or epithelial budding, the early prostate development program more closely resembles the program for human prostate cancer. Most importantly, early androgen-regulated genes and functional themes associated with prostate development were highly enriched in contrasts between increasingly lethal forms of prostate cancer, confirming a 'reactivation' of embryonic pathways for proliferation and invasion in prostate cancer progression. Among the genes with the most significant links to the development and cancer, we highlight coordinate induction of the transcription factor Sox9 and suppression of the proapoptotic phospholipid-binding protein Annexin A1 that link early prostate development to early prostate carcinogenesis. These results credential early prostate development as a reliable and valid model system for the investigation of genes and pathways that drive prostate cancer."}
{"STANDARD_NAME":"SCHAEFFER_PROSTATE_DEVELOPMENT_AND_CANCER_BOX5_DN","SYSTEMATIC_NAME":"M1363","ORGANISM":"Mus musculus","PMID":"18794802","AUTHORS":"Schaeffer EM,Marchionni L,Huang Z,Simons B,Blackman A,Yu W,Parmigiani G,Berman DM","GEOID":"GSE12077","EXACT_SOURCE":"Table 17S","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Early prostate development genes (down-regulated at 12 hr dihydrotestosterone [PubChem=10635]) which are also down-regulated in high grade prostatic intraepithelial neoplasia (PIN) vs invasive cancer.","DESCRIPTION_FULL":"Cancer cells differentiate along specific lineages that largely determine their clinical and biologic behavior. Distinct cancer phenotypes from different cells and organs likely result from unique gene expression repertoires established in the embryo and maintained after malignant transformation. We used comprehensive gene expression analysis to examine this concept in the prostate, an organ with a tractable developmental program and a high propensity for cancer. We focused on gene expression in the murine prostate rudiment at three time points during the first 48 h of exposure to androgen, which initiates proliferation and invasion of prostate epithelial buds into surrounding urogenital sinus mesenchyme. Here, we show that androgen exposure regulates genes previously implicated in prostate carcinogenesis comprising pathways for the phosphatase and tensin homolog (PTEN), fibroblast growth factor (FGF)/mitogen-activated protein kinase (MAPK), and Wnt signaling along with cellular programs regulating such 'hallmarks' of cancer as angiogenesis, apoptosis, migration and proliferation. We found statistically significant evidence for novel androgen-induced gene regulation events that establish and/or maintain prostate cell fate. These include modulation of gene expression through microRNAs, expression of specific transcription factors, and regulation of their predicted targets. By querying public gene expression databases from other tissues, we found that rather than generally characterizing androgen exposure or epithelial budding, the early prostate development program more closely resembles the program for human prostate cancer. Most importantly, early androgen-regulated genes and functional themes associated with prostate development were highly enriched in contrasts between increasingly lethal forms of prostate cancer, confirming a 'reactivation' of embryonic pathways for proliferation and invasion in prostate cancer progression. Among the genes with the most significant links to the development and cancer, we highlight coordinate induction of the transcription factor Sox9 and suppression of the proapoptotic phospholipid-binding protein Annexin A1 that link early prostate development to early prostate carcinogenesis. These results credential early prostate development as a reliable and valid model system for the investigation of genes and pathways that drive prostate cancer."}
{"STANDARD_NAME":"SCHAEFFER_PROSTATE_DEVELOPMENT_AND_CANCER_BOX6_UP","SYSTEMATIC_NAME":"M1364","ORGANISM":"Mus musculus","PMID":"18794802","AUTHORS":"Schaeffer EM,Marchionni L,Huang Z,Simons B,Blackman A,Yu W,Parmigiani G,Berman DM","GEOID":"GSE12077","EXACT_SOURCE":"Table 18S","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Early prostate development genes (up-regulated at 48 hr dihydrotestosterone [PubChem=10635]) which are also up-regulated in high grade prostatic intraepithelial neoplasia (PIN) vs invasive cancer.","DESCRIPTION_FULL":"Cancer cells differentiate along specific lineages that largely determine their clinical and biologic behavior. Distinct cancer phenotypes from different cells and organs likely result from unique gene expression repertoires established in the embryo and maintained after malignant transformation. We used comprehensive gene expression analysis to examine this concept in the prostate, an organ with a tractable developmental program and a high propensity for cancer. We focused on gene expression in the murine prostate rudiment at three time points during the first 48 h of exposure to androgen, which initiates proliferation and invasion of prostate epithelial buds into surrounding urogenital sinus mesenchyme. Here, we show that androgen exposure regulates genes previously implicated in prostate carcinogenesis comprising pathways for the phosphatase and tensin homolog (PTEN), fibroblast growth factor (FGF)/mitogen-activated protein kinase (MAPK), and Wnt signaling along with cellular programs regulating such 'hallmarks' of cancer as angiogenesis, apoptosis, migration and proliferation. We found statistically significant evidence for novel androgen-induced gene regulation events that establish and/or maintain prostate cell fate. These include modulation of gene expression through microRNAs, expression of specific transcription factors, and regulation of their predicted targets. By querying public gene expression databases from other tissues, we found that rather than generally characterizing androgen exposure or epithelial budding, the early prostate development program more closely resembles the program for human prostate cancer. Most importantly, early androgen-regulated genes and functional themes associated with prostate development were highly enriched in contrasts between increasingly lethal forms of prostate cancer, confirming a 'reactivation' of embryonic pathways for proliferation and invasion in prostate cancer progression. Among the genes with the most significant links to the development and cancer, we highlight coordinate induction of the transcription factor Sox9 and suppression of the proapoptotic phospholipid-binding protein Annexin A1 that link early prostate development to early prostate carcinogenesis. These results credential early prostate development as a reliable and valid model system for the investigation of genes and pathways that drive prostate cancer."}
{"STANDARD_NAME":"SCHAEFFER_PROSTATE_DEVELOPMENT_AND_CANCER_BOX6_DN","SYSTEMATIC_NAME":"M1366","ORGANISM":"Mus musculus","PMID":"18794802","AUTHORS":"Schaeffer EM,Marchionni L,Huang Z,Simons B,Blackman A,Yu W,Parmigiani G,Berman DM","GEOID":"GSE12077","EXACT_SOURCE":"Table 18S","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Early prostate development genes (down-regulated at 48 hr dihydrotestosterone [PubChem=10635]) which are also down-regulated in high grade prostatic intraepithelial neoplasia (PIN) vs invasive cancer.","DESCRIPTION_FULL":"Cancer cells differentiate along specific lineages that largely determine their clinical and biologic behavior. Distinct cancer phenotypes from different cells and organs likely result from unique gene expression repertoires established in the embryo and maintained after malignant transformation. We used comprehensive gene expression analysis to examine this concept in the prostate, an organ with a tractable developmental program and a high propensity for cancer. We focused on gene expression in the murine prostate rudiment at three time points during the first 48 h of exposure to androgen, which initiates proliferation and invasion of prostate epithelial buds into surrounding urogenital sinus mesenchyme. Here, we show that androgen exposure regulates genes previously implicated in prostate carcinogenesis comprising pathways for the phosphatase and tensin homolog (PTEN), fibroblast growth factor (FGF)/mitogen-activated protein kinase (MAPK), and Wnt signaling along with cellular programs regulating such 'hallmarks' of cancer as angiogenesis, apoptosis, migration and proliferation. We found statistically significant evidence for novel androgen-induced gene regulation events that establish and/or maintain prostate cell fate. These include modulation of gene expression through microRNAs, expression of specific transcription factors, and regulation of their predicted targets. By querying public gene expression databases from other tissues, we found that rather than generally characterizing androgen exposure or epithelial budding, the early prostate development program more closely resembles the program for human prostate cancer. Most importantly, early androgen-regulated genes and functional themes associated with prostate development were highly enriched in contrasts between increasingly lethal forms of prostate cancer, confirming a 'reactivation' of embryonic pathways for proliferation and invasion in prostate cancer progression. Among the genes with the most significant links to the development and cancer, we highlight coordinate induction of the transcription factor Sox9 and suppression of the proapoptotic phospholipid-binding protein Annexin A1 that link early prostate development to early prostate carcinogenesis. These results credential early prostate development as a reliable and valid model system for the investigation of genes and pathways that drive prostate cancer."}
{"STANDARD_NAME":"SCHAEFFER_SOX9_TARGETS_IN_PROSTATE_DEVELOPMENT_UP","SYSTEMATIC_NAME":"M1368","ORGANISM":"Mus musculus","PMID":"18794802","AUTHORS":"Schaeffer EM,Marchionni L,Huang Z,Simons B,Blackman A,Yu W,Parmigiani G,Berman DM","GEOID":"GSE12077","EXACT_SOURCE":"Table 21S: Induced","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Predicted targets of SOX9 [GeneID=6662] that are up-regulated during early prostate development.","DESCRIPTION_FULL":"Cancer cells differentiate along specific lineages that largely determine their clinical and biologic behavior. Distinct cancer phenotypes from different cells and organs likely result from unique gene expression repertoires established in the embryo and maintained after malignant transformation. We used comprehensive gene expression analysis to examine this concept in the prostate, an organ with a tractable developmental program and a high propensity for cancer. We focused on gene expression in the murine prostate rudiment at three time points during the first 48 h of exposure to androgen, which initiates proliferation and invasion of prostate epithelial buds into surrounding urogenital sinus mesenchyme. Here, we show that androgen exposure regulates genes previously implicated in prostate carcinogenesis comprising pathways for the phosphatase and tensin homolog (PTEN), fibroblast growth factor (FGF)/mitogen-activated protein kinase (MAPK), and Wnt signaling along with cellular programs regulating such 'hallmarks' of cancer as angiogenesis, apoptosis, migration and proliferation. We found statistically significant evidence for novel androgen-induced gene regulation events that establish and/or maintain prostate cell fate. These include modulation of gene expression through microRNAs, expression of specific transcription factors, and regulation of their predicted targets. By querying public gene expression databases from other tissues, we found that rather than generally characterizing androgen exposure or epithelial budding, the early prostate development program more closely resembles the program for human prostate cancer. Most importantly, early androgen-regulated genes and functional themes associated with prostate development were highly enriched in contrasts between increasingly lethal forms of prostate cancer, confirming a 'reactivation' of embryonic pathways for proliferation and invasion in prostate cancer progression. Among the genes with the most significant links to the development and cancer, we highlight coordinate induction of the transcription factor Sox9 and suppression of the proapoptotic phospholipid-binding protein Annexin A1 that link early prostate development to early prostate carcinogenesis. These results credential early prostate development as a reliable and valid model system for the investigation of genes and pathways that drive prostate cancer."}
{"STANDARD_NAME":"SCHAEFFER_SOX9_TARGETS_IN_PROSTATE_DEVELOPMENT_DN","SYSTEMATIC_NAME":"M1369","ORGANISM":"Mus musculus","PMID":"18794802","AUTHORS":"Schaeffer EM,Marchionni L,Huang Z,Simons B,Blackman A,Yu W,Parmigiani G,Berman DM","GEOID":"GSE12077","EXACT_SOURCE":"Table 21S: Repressed","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Predicted targets of SOX9 [GeneID=6662] that are down-regulated during early prostate development.","DESCRIPTION_FULL":"Cancer cells differentiate along specific lineages that largely determine their clinical and biologic behavior. Distinct cancer phenotypes from different cells and organs likely result from unique gene expression repertoires established in the embryo and maintained after malignant transformation. We used comprehensive gene expression analysis to examine this concept in the prostate, an organ with a tractable developmental program and a high propensity for cancer. We focused on gene expression in the murine prostate rudiment at three time points during the first 48 h of exposure to androgen, which initiates proliferation and invasion of prostate epithelial buds into surrounding urogenital sinus mesenchyme. Here, we show that androgen exposure regulates genes previously implicated in prostate carcinogenesis comprising pathways for the phosphatase and tensin homolog (PTEN), fibroblast growth factor (FGF)/mitogen-activated protein kinase (MAPK), and Wnt signaling along with cellular programs regulating such 'hallmarks' of cancer as angiogenesis, apoptosis, migration and proliferation. We found statistically significant evidence for novel androgen-induced gene regulation events that establish and/or maintain prostate cell fate. These include modulation of gene expression through microRNAs, expression of specific transcription factors, and regulation of their predicted targets. By querying public gene expression databases from other tissues, we found that rather than generally characterizing androgen exposure or epithelial budding, the early prostate development program more closely resembles the program for human prostate cancer. Most importantly, early androgen-regulated genes and functional themes associated with prostate development were highly enriched in contrasts between increasingly lethal forms of prostate cancer, confirming a 'reactivation' of embryonic pathways for proliferation and invasion in prostate cancer progression. Among the genes with the most significant links to the development and cancer, we highlight coordinate induction of the transcription factor Sox9 and suppression of the proapoptotic phospholipid-binding protein Annexin A1 that link early prostate development to early prostate carcinogenesis. These results credential early prostate development as a reliable and valid model system for the investigation of genes and pathways that drive prostate cancer."}
{"STANDARD_NAME":"RICKMAN_HEAD_AND_NECK_CANCER_A","SYSTEMATIC_NAME":"M14228","ORGANISM":"Homo sapiens","PMID":"18679425","AUTHORS":"Rickman DS,Millon R,De Reynies A,Thomas E,Wasylyk C,Muller D,Abecassis J,Wasylyk B","EXACT_SOURCE":"Table 2S: cluster a","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster a: genes identifying an intrinsic group in head and neck squamous cell carcinoma (HNSCC).","DESCRIPTION_FULL":"Propensity for subsequent distant metastasis in head and neck squamous-cell carcinoma (HNSCC) was analysed using 186 primary tumours from patients initially treated by surgery that developed (M) or did not develop (NM) metastases as the first recurrent event. Transcriptome (Affymetrix HGU133_Plus2, QRT-PCR) and array-comparative genomic hybridization data were collected. Non-supervised hierarchical clustering based on Affymetrix data distinguished tumours differing in pathological differentiation, and identified associated functional changes. Propensity for metastasis was not associated with these subgroups. Using QRT-PCR data we identified a four-gene model (PSMD10, HSD17B12, FLOT2 and KRT17) that predicts M/NM status with 77% success in a separate 79-sample validation group of HNSCC samples. This prediction is independent of clinical criteria (age, lymph node status, stage, differentiation and localization). The most significantly altered transcripts in M versus NM were significantly associated to metastasis-related functions, including adhesion, mobility and cell survival. Several genomic modifications were significantly associated with M/NM status (most notably gains at 4q11-22 and Xq12-28; losses at 11q14-24 and 17q11 losses) and partly linked to transcription modifications. This work yields a basis for the development of prognostic molecular signatures, markers and therapeutic targets for HNSCC metastasis."}
{"STANDARD_NAME":"SCHAEFFER_PROSTATE_DEVELOPMENT_AND_CANCER_BOX3","SYSTEMATIC_NAME":"M1371","ORGANISM":"Mus musculus","PMID":"18794802","AUTHORS":"Schaeffer EM,Marchionni L,Huang Z,Simons B,Blackman A,Yu W,Parmigiani G,Berman DM","GEOID":"GSE12077","EXACT_SOURCE":"Table 15S","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Early prostate development genes (up-regulated at 6 hr dihydrotestosterone [PubChem=10635]) which are also up-regulated in lower grade vs higher grade locally invasive prostate cancers.","DESCRIPTION_FULL":"Cancer cells differentiate along specific lineages that largely determine their clinical and biologic behavior. Distinct cancer phenotypes from different cells and organs likely result from unique gene expression repertoires established in the embryo and maintained after malignant transformation. We used comprehensive gene expression analysis to examine this concept in the prostate, an organ with a tractable developmental program and a high propensity for cancer. We focused on gene expression in the murine prostate rudiment at three time points during the first 48 h of exposure to androgen, which initiates proliferation and invasion of prostate epithelial buds into surrounding urogenital sinus mesenchyme. Here, we show that androgen exposure regulates genes previously implicated in prostate carcinogenesis comprising pathways for the phosphatase and tensin homolog (PTEN), fibroblast growth factor (FGF)/mitogen-activated protein kinase (MAPK), and Wnt signaling along with cellular programs regulating such 'hallmarks' of cancer as angiogenesis, apoptosis, migration and proliferation. We found statistically significant evidence for novel androgen-induced gene regulation events that establish and/or maintain prostate cell fate. These include modulation of gene expression through microRNAs, expression of specific transcription factors, and regulation of their predicted targets. By querying public gene expression databases from other tissues, we found that rather than generally characterizing androgen exposure or epithelial budding, the early prostate development program more closely resembles the program for human prostate cancer. Most importantly, early androgen-regulated genes and functional themes associated with prostate development were highly enriched in contrasts between increasingly lethal forms of prostate cancer, confirming a 'reactivation' of embryonic pathways for proliferation and invasion in prostate cancer progression. Among the genes with the most significant links to the development and cancer, we highlight coordinate induction of the transcription factor Sox9 and suppression of the proapoptotic phospholipid-binding protein Annexin A1 that link early prostate development to early prostate carcinogenesis. These results credential early prostate development as a reliable and valid model system for the investigation of genes and pathways that drive prostate cancer."}
{"STANDARD_NAME":"RICKMAN_HEAD_AND_NECK_CANCER_B","SYSTEMATIC_NAME":"M7727","ORGANISM":"Homo sapiens","PMID":"18679425","AUTHORS":"Rickman DS,Millon R,De Reynies A,Thomas E,Wasylyk C,Muller D,Abecassis J,Wasylyk B","EXACT_SOURCE":"Table 2S: cluster b","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster b: genes identifying an intrinsic group in head and neck squamous cell carcinoma (HNSCC).","DESCRIPTION_FULL":"Propensity for subsequent distant metastasis in head and neck squamous-cell carcinoma (HNSCC) was analysed using 186 primary tumours from patients initially treated by surgery that developed (M) or did not develop (NM) metastases as the first recurrent event. Transcriptome (Affymetrix HGU133_Plus2, QRT-PCR) and array-comparative genomic hybridization data were collected. Non-supervised hierarchical clustering based on Affymetrix data distinguished tumours differing in pathological differentiation, and identified associated functional changes. Propensity for metastasis was not associated with these subgroups. Using QRT-PCR data we identified a four-gene model (PSMD10, HSD17B12, FLOT2 and KRT17) that predicts M/NM status with 77% success in a separate 79-sample validation group of HNSCC samples. This prediction is independent of clinical criteria (age, lymph node status, stage, differentiation and localization). The most significantly altered transcripts in M versus NM were significantly associated to metastasis-related functions, including adhesion, mobility and cell survival. Several genomic modifications were significantly associated with M/NM status (most notably gains at 4q11-22 and Xq12-28; losses at 11q14-24 and 17q11 losses) and partly linked to transcription modifications. This work yields a basis for the development of prognostic molecular signatures, markers and therapeutic targets for HNSCC metastasis."}
{"STANDARD_NAME":"RICKMAN_HEAD_AND_NECK_CANCER_C","SYSTEMATIC_NAME":"M16130","ORGANISM":"Homo sapiens","PMID":"18679425","AUTHORS":"Rickman DS,Millon R,De Reynies A,Thomas E,Wasylyk C,Muller D,Abecassis J,Wasylyk B","EXACT_SOURCE":"Table 2S: cluster c","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster c: genes identifying an intrinsic group in head and neck squamous cell carcinoma (HNSCC).","DESCRIPTION_FULL":"Propensity for subsequent distant metastasis in head and neck squamous-cell carcinoma (HNSCC) was analysed using 186 primary tumours from patients initially treated by surgery that developed (M) or did not develop (NM) metastases as the first recurrent event. Transcriptome (Affymetrix HGU133_Plus2, QRT-PCR) and array-comparative genomic hybridization data were collected. Non-supervised hierarchical clustering based on Affymetrix data distinguished tumours differing in pathological differentiation, and identified associated functional changes. Propensity for metastasis was not associated with these subgroups. Using QRT-PCR data we identified a four-gene model (PSMD10, HSD17B12, FLOT2 and KRT17) that predicts M/NM status with 77% success in a separate 79-sample validation group of HNSCC samples. This prediction is independent of clinical criteria (age, lymph node status, stage, differentiation and localization). The most significantly altered transcripts in M versus NM were significantly associated to metastasis-related functions, including adhesion, mobility and cell survival. Several genomic modifications were significantly associated with M/NM status (most notably gains at 4q11-22 and Xq12-28; losses at 11q14-24 and 17q11 losses) and partly linked to transcription modifications. This work yields a basis for the development of prognostic molecular signatures, markers and therapeutic targets for HNSCC metastasis."}
{"STANDARD_NAME":"RICKMAN_HEAD_AND_NECK_CANCER_D","SYSTEMATIC_NAME":"M19164","ORGANISM":"Homo sapiens","PMID":"18679425","AUTHORS":"Rickman DS,Millon R,De Reynies A,Thomas E,Wasylyk C,Muller D,Abecassis J,Wasylyk B","EXACT_SOURCE":"Table 2S: cluster d","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster d: genes identifying an intrinsic group in head and neck squamous cell carcinoma (HNSCC).","DESCRIPTION_FULL":"Propensity for subsequent distant metastasis in head and neck squamous-cell carcinoma (HNSCC) was analysed using 186 primary tumours from patients initially treated by surgery that developed (M) or did not develop (NM) metastases as the first recurrent event. Transcriptome (Affymetrix HGU133_Plus2, QRT-PCR) and array-comparative genomic hybridization data were collected. Non-supervised hierarchical clustering based on Affymetrix data distinguished tumours differing in pathological differentiation, and identified associated functional changes. Propensity for metastasis was not associated with these subgroups. Using QRT-PCR data we identified a four-gene model (PSMD10, HSD17B12, FLOT2 and KRT17) that predicts M/NM status with 77% success in a separate 79-sample validation group of HNSCC samples. This prediction is independent of clinical criteria (age, lymph node status, stage, differentiation and localization). The most significantly altered transcripts in M versus NM were significantly associated to metastasis-related functions, including adhesion, mobility and cell survival. Several genomic modifications were significantly associated with M/NM status (most notably gains at 4q11-22 and Xq12-28; losses at 11q14-24 and 17q11 losses) and partly linked to transcription modifications. This work yields a basis for the development of prognostic molecular signatures, markers and therapeutic targets for HNSCC metastasis."}
{"STANDARD_NAME":"RICKMAN_HEAD_AND_NECK_CANCER_E","SYSTEMATIC_NAME":"M19837","ORGANISM":"Homo sapiens","PMID":"18679425","AUTHORS":"Rickman DS,Millon R,De Reynies A,Thomas E,Wasylyk C,Muller D,Abecassis J,Wasylyk B","EXACT_SOURCE":"Table 2S: cluster e","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster e: genes identifying an intrinsic group in head and neck squamous cell carcinoma (HNSCC).","DESCRIPTION_FULL":"Propensity for subsequent distant metastasis in head and neck squamous-cell carcinoma (HNSCC) was analysed using 186 primary tumours from patients initially treated by surgery that developed (M) or did not develop (NM) metastases as the first recurrent event. Transcriptome (Affymetrix HGU133_Plus2, QRT-PCR) and array-comparative genomic hybridization data were collected. Non-supervised hierarchical clustering based on Affymetrix data distinguished tumours differing in pathological differentiation, and identified associated functional changes. Propensity for metastasis was not associated with these subgroups. Using QRT-PCR data we identified a four-gene model (PSMD10, HSD17B12, FLOT2 and KRT17) that predicts M/NM status with 77% success in a separate 79-sample validation group of HNSCC samples. This prediction is independent of clinical criteria (age, lymph node status, stage, differentiation and localization). The most significantly altered transcripts in M versus NM were significantly associated to metastasis-related functions, including adhesion, mobility and cell survival. Several genomic modifications were significantly associated with M/NM status (most notably gains at 4q11-22 and Xq12-28; losses at 11q14-24 and 17q11 losses) and partly linked to transcription modifications. This work yields a basis for the development of prognostic molecular signatures, markers and therapeutic targets for HNSCC metastasis."}
{"STANDARD_NAME":"TAGHAVI_NEOPLASTIC_TRANSFORMATION","SYSTEMATIC_NAME":"M9267","ORGANISM":"Mus musculus","PMID":"18762810","AUTHORS":"Taghavi P,Verhoeven E,Jacobs JJ,Lambooij JP,Stortelers C,Tanger E,Moolenaar WH,van Lohuizen M","EXACT_SOURCE":"Table 1","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes that cooperate with MYC and TBX2 [GeneID=4609;6909] to transform MEF cells (embryo fibroblasts).","DESCRIPTION_FULL":"c-Myc drives uncontrolled cell proliferation in various human cancers. However, in mouse embryo fibroblasts (MEFs), c-Myc also induces apoptosis by activating the p19Arf tumor suppressor pathway. Tbx2, a transcriptional repressor of p19Arf, can collaborate with c-Myc by suppressing apoptosis. MEFs overexpressing c-Myc and Tbx2 are immortal but not transformed. We have performed an unbiased genetic screen, which identified 12 oncogenes that collaborate with c-Myc and Tbx2 to transform MEFs in vitro. One of them encodes the LPA2 receptor for the lipid growth factor lysophosphatidic acid (LPA). We find that LPA1 and LPA4, but not LPA3, can reproduce the transforming effect of LPA2. Using pharmacological inhibitors, we show that the in vitro cell transformation induced by LPA receptors is dependent on the Gi-linked ERK and PI3K signaling pathways. The transforming ability of LPA1, LPA2 and LPA4 was confirmed by tumor formation assays in vivo and correlated with prolonged ERK1/2 activation in response to LPA. Our results reveal a direct role for LPA receptor signaling in cell transformation and tumorigenesis in conjunction with c-Myc and reduced p19Arf expression."}
{"STANDARD_NAME":"COLIN_PILOCYTIC_ASTROCYTOMA_VS_GLIOBLASTOMA_UP","SYSTEMATIC_NAME":"M11581","ORGANISM":"Homo sapiens","PMID":"16314830","AUTHORS":"Colin C,Baeza N,Bartoli C,Fina F,Eudes N,Nanni I,Martin PM,Ouafik L,Figarella-Branger D","EXACT_SOURCE":"Table 1","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in pilocytic astrocytoma compared to glioblastoma samples.","DESCRIPTION_FULL":"Glioblastoma (GBM) is a highly malignant glioma, which has the propensity to infiltrate throughout the brain in contrast to pilocytic astrocytoma (PA) of the posterior fossa, which does not spread and can be cured by surgery. We have used Suppression Subtractive Hybridization to define markers that better delineate the molecular basis of brain invasion and distinguish these tumor groups. We have identified 106 genes expressed in PA versus GBM and 80 genes expressed in GBM versus PA. Subsequent analysis identified a subset of 20 transcripts showing a common differential expression pattern for the two groups. GBM differs from PA by the expression of five genes involved in invasion and angiogenesis: fibronectin, osteopontin, chitinase-3-like-1 (YKL-40), keratoepithelin and fibromodulin. PA differs from GBM by the expression of genes related to metabolism (apolipoprotein D), proteolysis (protease-serine-11), receptor and signal transduction (PLEKHB1 for Pleckstrin-Homology-domain-containing-protein-family-B-member-1), transcription/translation (eukaryotic-translation-elongation-factor-1-alpha1) processes and cell adhesion (SPOCK1 for SPARC/Osteonectin-CWCV-kazal-like-domains-proteoglycan). The expression of these genes was confirmed by real-time quantitative RT-PCR and immunohistochemistry. This study highlights the crucial role of brain invasion in GBM and identifies specific molecules involved in this process. In addition, it offers a restricted list of markers that accurately distinguish PA from GBM."}
{"STANDARD_NAME":"COLIN_PILOCYTIC_ASTROCYTOMA_VS_GLIOBLASTOMA_DN","SYSTEMATIC_NAME":"M14859","ORGANISM":"Homo sapiens","PMID":"16314830","AUTHORS":"Colin C,Baeza N,Bartoli C,Fina F,Eudes N,Nanni I,Martin PM,Ouafik L,Figarella-Branger D","EXACT_SOURCE":"Table 2","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in pilocytic astrocytoma compared to glioblastoma samples.","DESCRIPTION_FULL":"Glioblastoma (GBM) is a highly malignant glioma, which has the propensity to infiltrate throughout the brain in contrast to pilocytic astrocytoma (PA) of the posterior fossa, which does not spread and can be cured by surgery. We have used Suppression Subtractive Hybridization to define markers that better delineate the molecular basis of brain invasion and distinguish these tumor groups. We have identified 106 genes expressed in PA versus GBM and 80 genes expressed in GBM versus PA. Subsequent analysis identified a subset of 20 transcripts showing a common differential expression pattern for the two groups. GBM differs from PA by the expression of five genes involved in invasion and angiogenesis: fibronectin, osteopontin, chitinase-3-like-1 (YKL-40), keratoepithelin and fibromodulin. PA differs from GBM by the expression of genes related to metabolism (apolipoprotein D), proteolysis (protease-serine-11), receptor and signal transduction (PLEKHB1 for Pleckstrin-Homology-domain-containing-protein-family-B-member-1), transcription/translation (eukaryotic-translation-elongation-factor-1-alpha1) processes and cell adhesion (SPOCK1 for SPARC/Osteonectin-CWCV-kazal-like-domains-proteoglycan). The expression of these genes was confirmed by real-time quantitative RT-PCR and immunohistochemistry. This study highlights the crucial role of brain invasion in GBM and identifies specific molecules involved in this process. In addition, it offers a restricted list of markers that accurately distinguish PA from GBM."}
{"STANDARD_NAME":"BALDWIN_PRKCI_TARGETS_UP","SYSTEMATIC_NAME":"M16912","ORGANISM":"Homo sapiens","PMID":"16331246","AUTHORS":"Baldwin RM,Garratt-Lalonde M,Parolin DA,Krzyzanowski PM,Andrade MA,Lorimer IA","EXACT_SOURCE":"Fig 5B: Fold change > 1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in U87MG cells (glioblastoma multiforme) after knockdown of PRKCI [GeneID=5584] by RNAi.","DESCRIPTION_FULL":"Glioblastoma multiforme is an aggressive form of brain cancer that responds poorly to chemotherapy and is generally incurable. The basis for the poor response of this cancer to chemotherapy is not well understood. The atypical protein kinases C (PKCiota and PKCzeta) have previously been implicated in leukaemia cell chemoresistance. To assess the role of atypical PKC in glioblastoma cell chemoresistance, RNA interference was used to deplete human glioblastoma cells of PKCiota. Transfection of cells with either of two different RNA duplexes specific for PKCiota caused a partial sensitisation to cell death induced by the chemotherapy agent cisplatin. To screen for possible mechanisms for PKCiota-mediated chemoresistance, microarray analysis of gene expression was performed on RNA from glioblastoma cells that were either untreated or depleted of PKCiota. This identified sets of genes that were regulated either positively or negatively by PKCiota. Within the set of genes that were negatively regulated by PKCiota, the function of the gene coding for GMFbeta, an enhancer of p38 mitogen-activated protein kinase (MAP kinase) signaling, was investigated further, as the p38 MAP kinase pathway has been previously identified as a key mediator of cisplatin cytotoxicity. The expression of both GMFbeta mRNA and protein increased upon PKCiota depletion, and this was accompanied by an increase in cisplatin-activated p38 MAP kinase signaling. Transient overexpression of GMFbeta increased cisplatin-activated p38 MAP kinase signaling and also sensitised cells to cisplatin cytotoxicity. The increase in cisplatin cytotoxicity seen with PKCiota depletion was blocked by the p38 MAP kinase inhibitor SKF86002. These data show that PKCiota can confer partial resistance to cisplatin in glioblastoma cells by suppressing GMFbeta-mediated enhancement of p38 MAP kinase signaling."}
{"STANDARD_NAME":"HE_PTEN_TARGETS_UP","SYSTEMATIC_NAME":"M1377","ORGANISM":"Mus musculus","PMID":"17237784","AUTHORS":"He XC,Yin T,Grindley JC,Tian Q,Sato T,Tao WA,Dirisina R,Porter-Westpfahl KS,Hembree M,Johnson T,Wiedemann LM,Barrett TA,Hood L,Wu H,Li L","GEOID":"GSE6078","EXACT_SOURCE":"Fig 2e: red in Mut","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in the intestine after the tissue specific knockout of PTEN [GeneID=5728] by Cre-lox.","DESCRIPTION_FULL":"Intestinal polyposis, a precancerous neoplasia, results primarily from an abnormal increase in the number of crypts, which contain intestinal stem cells (ISCs). In mice, widespread deletion of the tumor suppressor Phosphatase and tensin homolog (PTEN) generates hamartomatous intestinal polyps with epithelial and stromal involvement. Using this model, we have established the relationship between stem cells and polyp and tumor formation. PTEN helps govern the proliferation rate and number of ISCs and loss of PTEN results in an excess of ISCs. In PTEN-deficient mice, excess ISCs initiate de novo crypt formation and crypt fission, recapitulating crypt production in fetal and neonatal intestine. The PTEN-Akt pathway probably governs stem cell activation by helping control nuclear localization of the Wnt pathway effector beta-catenin. Akt phosphorylates beta-catenin at Ser552, resulting in a nuclear-localized form in ISCs. Our observations show that intestinal polyposis is initiated by PTEN-deficient ISCs that undergo excessive proliferation driven by Akt activation and nuclear localization of beta-catenin."}
{"STANDARD_NAME":"HE_PTEN_TARGETS_DN","SYSTEMATIC_NAME":"M1379","ORGANISM":"Mus musculus","PMID":"17237784","AUTHORS":"He XC,Yin T,Grindley JC,Tian Q,Sato T,Tao WA,Dirisina R,Porter-Westpfahl KS,Hembree M,Johnson T,Wiedemann LM,Barrett TA,Hood L,Wu H,Li L","GEOID":"GSE6078","EXACT_SOURCE":"Fig 2e: green in Mut","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in the intestine after the tissue specific knockout of PTEN [GeneID=5728] by Cre-lox.","DESCRIPTION_FULL":"Intestinal polyposis, a precancerous neoplasia, results primarily from an abnormal increase in the number of crypts, which contain intestinal stem cells (ISCs). In mice, widespread deletion of the tumor suppressor Phosphatase and tensin homolog (PTEN) generates hamartomatous intestinal polyps with epithelial and stromal involvement. Using this model, we have established the relationship between stem cells and polyp and tumor formation. PTEN helps govern the proliferation rate and number of ISCs and loss of PTEN results in an excess of ISCs. In PTEN-deficient mice, excess ISCs initiate de novo crypt formation and crypt fission, recapitulating crypt production in fetal and neonatal intestine. The PTEN-Akt pathway probably governs stem cell activation by helping control nuclear localization of the Wnt pathway effector beta-catenin. Akt phosphorylates beta-catenin at Ser552, resulting in a nuclear-localized form in ISCs. Our observations show that intestinal polyposis is initiated by PTEN-deficient ISCs that undergo excessive proliferation driven by Akt activation and nuclear localization of beta-catenin."}
{"STANDARD_NAME":"PASQUALUCCI_LYMPHOMA_BY_GC_STAGE_DN","SYSTEMATIC_NAME":"M17811","ORGANISM":"Mus musculus","PMID":"18066064","AUTHORS":"Pasqualucci L,Bhagat G,Jankovic M,Compagno M,Smith P,Muramatsu M,Honjo T,Morse HC 3rd,Nussenzweig MC,Dalla-Favera R","GEOID":"GSE9249","EXACT_SOURCE":"Table 2S: Z acore < 0","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in post-GC, BCL6 [GeneID=604] dependent B cell non-Hodgkin's lymphoma (B-NHL) vs MYC [GeneID=4609] driven pre-GC lymphoma.","DESCRIPTION_FULL":"Most human B cell non-Hodgkin's lymphomas (B-NHLs) derive from germinal centers (GCs), the structure in which B cells undergo somatic hypermutation (SHM) and class switch recombination (CSR) before being selected for high-affinity antibody production. The pathogenesis of B-NHL is associated with distinct genetic lesions, including chromosomal translocations and aberrant SHM, which arise from mistakes occurring during CSR and SHM. A direct link between these DNA remodeling events and GC lymphoma development, however, has not been demonstrated. Here we have crossed three mouse models of B cell lymphoma driven by oncogenes (Myc, Bcl6 and Myc/Bcl6; refs. 5,6) with mice lacking activation-induced cytidine deaminase (AID), the enzyme required for both CSR and SHM. We show that AID deficiency prevents Bcl6-dependent, GC-derived B-NHL, but has no impact on Myc-driven, pre-GC lymphomas. Accordingly, abrogation of AID is associated with the disappearance of CSR- and SHM-mediated structural alterations. These results show that AID is required for GC-derived lymphomagenesis, supporting the notion that errors in AID-mediated antigen-receptor gene modification processes are principal contributors to the pathogenesis of human B-NHL."}
{"STANDARD_NAME":"BENPORATH_ES_2","SYSTEMATIC_NAME":"M4241","ORGANISM":"Homo sapiens","PMID":"18443585","AUTHORS":"Ben-Porath I,Thomson MW,Carey VJ,Ge R,Bell GW,Regev A,Weinberg RA","EXACT_SOURCE":"Table 1S: ES exp2","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Set 'Set 'ES exp2': genes overexpressed in human embryonic stem cells according to a meta-analysis of 8 profiling studies.","DESCRIPTION_FULL":"Cancer cells possess traits reminiscent of those ascribed to normal stem cells. It is unclear, however, whether these phenotypic similarities reflect the activity of common molecular pathways. Here, we analyze the enrichment patterns of gene sets associated with embryonic stem (ES) cell identity in the expression profiles of various human tumor types. We find that histologically poorly differentiated tumors show preferential overexpression of genes normally enriched in ES cells, combined with preferential repression of Polycomb-regulated genes. Moreover, activation targets of Nanog, Oct4, Sox2 and c-Myc are more frequently overexpressed in poorly differentiated tumors than in well-differentiated tumors. In breast cancers, this ES-like signature is associated with high-grade estrogen receptor (ER)-negative tumors, often of the basal-like subtype, and with poor clinical outcome. The ES signature is also present in poorly differentiated glioblastomas and bladder carcinomas. We identify a subset of ES cell-associated transcription regulators that are highly expressed in poorly differentiated tumors. Our results reveal a previously unknown link between genes associated with ES cell identity and the histopathological traits of tumors and support the possibility that these genes contribute to stem cell-like phenotypes shown by many tumors."}
{"STANDARD_NAME":"BENPORATH_SUZ12_TARGETS","SYSTEMATIC_NAME":"M9898","ORGANISM":"Homo sapiens","PMID":"18443585","AUTHORS":"Ben-Porath I,Thomson MW,Carey VJ,Ge R,Bell GW,Regev A,Weinberg RA","EXACT_SOURCE":"Table 1S: Suz12 targets","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Set 'Suz12 targets': genes identified by ChIP on chip as targets of the Polycomb protein SUZ12 [GeneID=23512] in human embryonic stem cells.","DESCRIPTION_FULL":"Cancer cells possess traits reminiscent of those ascribed to normal stem cells. It is unclear, however, whether these phenotypic similarities reflect the activity of common molecular pathways. Here, we analyze the enrichment patterns of gene sets associated with embryonic stem (ES) cell identity in the expression profiles of various human tumor types. We find that histologically poorly differentiated tumors show preferential overexpression of genes normally enriched in ES cells, combined with preferential repression of Polycomb-regulated genes. Moreover, activation targets of Nanog, Oct4, Sox2 and c-Myc are more frequently overexpressed in poorly differentiated tumors than in well-differentiated tumors. In breast cancers, this ES-like signature is associated with high-grade estrogen receptor (ER)-negative tumors, often of the basal-like subtype, and with poor clinical outcome. The ES signature is also present in poorly differentiated glioblastomas and bladder carcinomas. We identify a subset of ES cell-associated transcription regulators that are highly expressed in poorly differentiated tumors. Our results reveal a previously unknown link between genes associated with ES cell identity and the histopathological traits of tumors and support the possibility that these genes contribute to stem cell-like phenotypes shown by many tumors."}
{"STANDARD_NAME":"BENPORATH_EED_TARGETS","SYSTEMATIC_NAME":"M7617","ORGANISM":"Homo sapiens","PMID":"18443585","AUTHORS":"Ben-Porath I,Thomson MW,Carey VJ,Ge R,Bell GW,Regev A,Weinberg RA","EXACT_SOURCE":"Table 1S: Eed targets","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Set 'Eed targets': genes identified by ChIP on chip as targets of the Polycomb protein EED [GeneID=8726] in human embryonic stem cells.","DESCRIPTION_FULL":"Cancer cells possess traits reminiscent of those ascribed to normal stem cells. It is unclear, however, whether these phenotypic similarities reflect the activity of common molecular pathways. Here, we analyze the enrichment patterns of gene sets associated with embryonic stem (ES) cell identity in the expression profiles of various human tumor types. We find that histologically poorly differentiated tumors show preferential overexpression of genes normally enriched in ES cells, combined with preferential repression of Polycomb-regulated genes. Moreover, activation targets of Nanog, Oct4, Sox2 and c-Myc are more frequently overexpressed in poorly differentiated tumors than in well-differentiated tumors. In breast cancers, this ES-like signature is associated with high-grade estrogen receptor (ER)-negative tumors, often of the basal-like subtype, and with poor clinical outcome. The ES signature is also present in poorly differentiated glioblastomas and bladder carcinomas. We identify a subset of ES cell-associated transcription regulators that are highly expressed in poorly differentiated tumors. Our results reveal a previously unknown link between genes associated with ES cell identity and the histopathological traits of tumors and support the possibility that these genes contribute to stem cell-like phenotypes shown by many tumors."}
{"STANDARD_NAME":"BENPORATH_ES_WITH_H3K27ME3","SYSTEMATIC_NAME":"M10371","ORGANISM":"Homo sapiens","PMID":"18443585","AUTHORS":"Ben-Porath I,Thomson MW,Carey VJ,Ge R,Bell GW,Regev A,Weinberg RA","EXACT_SOURCE":"Table 1S: H3K27 bound","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Set 'H3K27 bound': genes posessing the trimethylated H3K27 (H3K27me3) mark in their promoters in human embryonic stem cells, as identified by ChIP on chip.","DESCRIPTION_FULL":"Cancer cells possess traits reminiscent of those ascribed to normal stem cells. It is unclear, however, whether these phenotypic similarities reflect the activity of common molecular pathways. Here, we analyze the enrichment patterns of gene sets associated with embryonic stem (ES) cell identity in the expression profiles of various human tumor types. We find that histologically poorly differentiated tumors show preferential overexpression of genes normally enriched in ES cells, combined with preferential repression of Polycomb-regulated genes. Moreover, activation targets of Nanog, Oct4, Sox2 and c-Myc are more frequently overexpressed in poorly differentiated tumors than in well-differentiated tumors. In breast cancers, this ES-like signature is associated with high-grade estrogen receptor (ER)-negative tumors, often of the basal-like subtype, and with poor clinical outcome. The ES signature is also present in poorly differentiated glioblastomas and bladder carcinomas. We identify a subset of ES cell-associated transcription regulators that are highly expressed in poorly differentiated tumors. Our results reveal a previously unknown link between genes associated with ES cell identity and the histopathological traits of tumors and support the possibility that these genes contribute to stem cell-like phenotypes shown by many tumors."}
{"STANDARD_NAME":"BENPORATH_PRC2_TARGETS","SYSTEMATIC_NAME":"M8448","ORGANISM":"Homo sapiens","PMID":"18443585","AUTHORS":"Ben-Porath I,Thomson MW,Carey VJ,Ge R,Bell GW,Regev A,Weinberg RA","EXACT_SOURCE":"Table 1S: PRC2 targets","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Set 'PRC2 targets': Polycomb Repression Complex 2 (PRC) targets; identified by ChIP on chip on human embryonic stem cells as genes that: posess the trimethylated H3K27 mark in their promoters and are bound by SUZ12 [GeneID=23512] and EED [GeneID=8726] Polycomb proteins.","DESCRIPTION_FULL":"Cancer cells possess traits reminiscent of those ascribed to normal stem cells. It is unclear, however, whether these phenotypic similarities reflect the activity of common molecular pathways. Here, we analyze the enrichment patterns of gene sets associated with embryonic stem (ES) cell identity in the expression profiles of various human tumor types. We find that histologically poorly differentiated tumors show preferential overexpression of genes normally enriched in ES cells, combined with preferential repression of Polycomb-regulated genes. Moreover, activation targets of Nanog, Oct4, Sox2 and c-Myc are more frequently overexpressed in poorly differentiated tumors than in well-differentiated tumors. In breast cancers, this ES-like signature is associated with high-grade estrogen receptor (ER)-negative tumors, often of the basal-like subtype, and with poor clinical outcome. The ES signature is also present in poorly differentiated glioblastomas and bladder carcinomas. We identify a subset of ES cell-associated transcription regulators that are highly expressed in poorly differentiated tumors. Our results reveal a previously unknown link between genes associated with ES cell identity and the histopathological traits of tumors and support the possibility that these genes contribute to stem cell-like phenotypes shown by many tumors."}
{"STANDARD_NAME":"STARK_PREFRONTAL_CORTEX_22Q11_DELETION_UP","SYSTEMATIC_NAME":"M2817","ORGANISM":"Mus musculus","PMID":"18469815","AUTHORS":"Stark KL,Xu B,Bagchi A,Lai WS,Liu H,Hsu R,Wan X,Pavlidis P,Mills AA,Karayiorgou M,Gogos JA","GEOID":"GSE10784","EXACT_SOURCE":"Table 1S: PFC up","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in prefrontal cortex (PFC) of mice carrying a hemizygotic microdeletion in the 22q11.2 region.","DESCRIPTION_FULL":"Individuals with 22q11.2 microdeletions show behavioral and cognitive deficits and are at high risk of developing schizophrenia. We analyzed an engineered mouse strain carrying a chromosomal deficiency spanning a segment syntenic to the human 22q11.2 locus. We uncovered a previously unknown alteration in the biogenesis of microRNAs (miRNAs) and identified a subset of brain miRNAs affected by the microdeletion. We provide evidence that the abnormal miRNA biogenesis emerges because of haploinsufficiency of the Dgcr8 gene, which encodes an RNA-binding moiety of the 'microprocessor' complex and contributes to the behavioral and neuronal deficits associated with the 22q11.2 microdeletion."}
{"STANDARD_NAME":"STARK_HYPPOCAMPUS_22Q11_DELETION_UP","SYSTEMATIC_NAME":"M12050","ORGANISM":"Mus musculus","PMID":"18469815","AUTHORS":"Stark KL,Xu B,Bagchi A,Lai WS,Liu H,Hsu R,Wan X,Pavlidis P,Mills AA,Karayiorgou M,Gogos JA","GEOID":"GSE10784","EXACT_SOURCE":"Table 1S: HPC up","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in hyppocampus of mice carrying a hemizygotic microdeletion in the 22q11.2 region.","DESCRIPTION_FULL":"Individuals with 22q11.2 microdeletions show behavioral and cognitive deficits and are at high risk of developing schizophrenia. We analyzed an engineered mouse strain carrying a chromosomal deficiency spanning a segment syntenic to the human 22q11.2 locus. We uncovered a previously unknown alteration in the biogenesis of microRNAs (miRNAs) and identified a subset of brain miRNAs affected by the microdeletion. We provide evidence that the abnormal miRNA biogenesis emerges because of haploinsufficiency of the Dgcr8 gene, which encodes an RNA-binding moiety of the 'microprocessor' complex and contributes to the behavioral and neuronal deficits associated with the 22q11.2 microdeletion."}
{"STANDARD_NAME":"STARK_HYPPOCAMPUS_22Q11_DELETION_DN","SYSTEMATIC_NAME":"M17954","ORGANISM":"Mus musculus","PMID":"18469815","AUTHORS":"Stark KL,Xu B,Bagchi A,Lai WS,Liu H,Hsu R,Wan X,Pavlidis P,Mills AA,Karayiorgou M,Gogos JA","GEOID":"GSE10784","EXACT_SOURCE":"Table 1S: HPC down","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in hyppocampus of mice carrying a hemizygotic microdeletion in the 22q11.2 region.","DESCRIPTION_FULL":"Individuals with 22q11.2 microdeletions show behavioral and cognitive deficits and are at high risk of developing schizophrenia. We analyzed an engineered mouse strain carrying a chromosomal deficiency spanning a segment syntenic to the human 22q11.2 locus. We uncovered a previously unknown alteration in the biogenesis of microRNAs (miRNAs) and identified a subset of brain miRNAs affected by the microdeletion. We provide evidence that the abnormal miRNA biogenesis emerges because of haploinsufficiency of the Dgcr8 gene, which encodes an RNA-binding moiety of the 'microprocessor' complex and contributes to the behavioral and neuronal deficits associated with the 22q11.2 microdeletion."}
{"STANDARD_NAME":"STARK_BRAIN_22Q11_DELETION","SYSTEMATIC_NAME":"M6139","ORGANISM":"Mus musculus","PMID":"18469815","AUTHORS":"Stark KL,Xu B,Bagchi A,Lai WS,Liu H,Hsu R,Wan X,Pavlidis P,Mills AA,Karayiorgou M,Gogos JA","GEOID":"GSE10784","EXACT_SOURCE":"Table 2S","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes located outside the microdeletion region in 22q11 which were differentially expressed in the same manner both in hyppocampus and prefrontal cortex.","DESCRIPTION_FULL":"Individuals with 22q11.2 microdeletions show behavioral and cognitive deficits and are at high risk of developing schizophrenia. We analyzed an engineered mouse strain carrying a chromosomal deficiency spanning a segment syntenic to the human 22q11.2 locus. We uncovered a previously unknown alteration in the biogenesis of microRNAs (miRNAs) and identified a subset of brain miRNAs affected by the microdeletion. We provide evidence that the abnormal miRNA biogenesis emerges because of haploinsufficiency of the Dgcr8 gene, which encodes an RNA-binding moiety of the 'microprocessor' complex and contributes to the behavioral and neuronal deficits associated with the 22q11.2 microdeletion."}
{"STANDARD_NAME":"PETRETTO_BLOOD_PRESSURE_UP","SYSTEMATIC_NAME":"M14298","ORGANISM":"Rattus norvegicus","PMID":"18443592","AUTHORS":"Petretto E,Sarwar R,Grieve I,Lu H,Kumaran MK,Muckett PJ,Mangion J,Schroen B,Benson M,Punjabi PP,Prasad SK,Pennell DJ,Kiesewetter C,Tasheva ES,Corpuz LM,Webb MD,Conrad GW,Kurtz TW,Kren V,Fischer J,Hubner N,Pinto YM,Pravenec M,Aitman TJ,Cook SA","GEOID":"GSE10161","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_Rat230","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes that are most strongly positively correlated with systolic blood pressure (SBP).","DESCRIPTION_FULL":"Left ventricular mass (LVM) and cardiac gene expression are complex traits regulated by factors both intrinsic and extrinsic to the heart. To dissect the major determinants of LVM, we combined expression quantitative trait locus1 and quantitative trait transcript (QTT) analyses of the cardiac transcriptome in the rat. Using these methods and in vitro functional assays, we identified osteoglycin (Ogn) as a major candidate regulator of rat LVM, with increased Ogn protein expression associated with elevated LVM. We also applied genome-wide QTT analysis to the human heart and observed that, out of 22,000 transcripts, OGN transcript abundance had the highest correlation with LVM. We further confirmed a role for Ogn in the in vivo regulation of LVM in Ogn knockout mice. Taken together, these data implicate Ogn as a key regulator of LVM in rats, mice and humans, and suggest that Ogn modifies the hypertrophic response to extrinsic factors such as hypertension and aortic stenosis."}
{"STANDARD_NAME":"PETRETTO_BLOOD_PRESSURE_DN","SYSTEMATIC_NAME":"M7813","ORGANISM":"Rattus norvegicus","PMID":"18443592","AUTHORS":"Petretto E,Sarwar R,Grieve I,Lu H,Kumaran MK,Muckett PJ,Mangion J,Schroen B,Benson M,Punjabi PP,Prasad SK,Pennell DJ,Kiesewetter C,Tasheva ES,Corpuz LM,Webb MD,Conrad GW,Kurtz TW,Kren V,Fischer J,Hubner N,Pinto YM,Pravenec M,Aitman TJ,Cook SA","GEOID":"GSE10161","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_Rat230","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes that are most strongly negatively correlated with systolic blood pressure (SBP).","DESCRIPTION_FULL":"Left ventricular mass (LVM) and cardiac gene expression are complex traits regulated by factors both intrinsic and extrinsic to the heart. To dissect the major determinants of LVM, we combined expression quantitative trait locus1 and quantitative trait transcript (QTT) analyses of the cardiac transcriptome in the rat. Using these methods and in vitro functional assays, we identified osteoglycin (Ogn) as a major candidate regulator of rat LVM, with increased Ogn protein expression associated with elevated LVM. We also applied genome-wide QTT analysis to the human heart and observed that, out of 22,000 transcripts, OGN transcript abundance had the highest correlation with LVM. We further confirmed a role for Ogn in the in vivo regulation of LVM in Ogn knockout mice. Taken together, these data implicate Ogn as a key regulator of LVM in rats, mice and humans, and suggest that Ogn modifies the hypertrophic response to extrinsic factors such as hypertension and aortic stenosis."}
{"STANDARD_NAME":"PETRETTO_HEART_MASS_QTL_CIS_UP","SYSTEMATIC_NAME":"M17037","ORGANISM":"Rattus norvegicus","PMID":"18443592","AUTHORS":"Petretto E,Sarwar R,Grieve I,Lu H,Kumaran MK,Muckett PJ,Mangion J,Schroen B,Benson M,Punjabi PP,Prasad SK,Pennell DJ,Kiesewetter C,Tasheva ES,Corpuz LM,Webb MD,Conrad GW,Kurtz TW,Kren V,Fischer J,Hubner N,Pinto YM,Pravenec M,Aitman TJ,Cook SA","GEOID":"GSE10161","EXACT_SOURCE":"Table 2S","CHIP":"AFFY_Rat230","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Up-regulated cis-regulated expression quantitative loci (cis-eQTL) in the heart that colocalize with previously mapped cardiac mass QTLs.","DESCRIPTION_FULL":"Left ventricular mass (LVM) and cardiac gene expression are complex traits regulated by factors both intrinsic and extrinsic to the heart. To dissect the major determinants of LVM, we combined expression quantitative trait locus1 and quantitative trait transcript (QTT) analyses of the cardiac transcriptome in the rat. Using these methods and in vitro functional assays, we identified osteoglycin (Ogn) as a major candidate regulator of rat LVM, with increased Ogn protein expression associated with elevated LVM. We also applied genome-wide QTT analysis to the human heart and observed that, out of 22,000 transcripts, OGN transcript abundance had the highest correlation with LVM. We further confirmed a role for Ogn in the in vivo regulation of LVM in Ogn knockout mice. Taken together, these data implicate Ogn as a key regulator of LVM in rats, mice and humans, and suggest that Ogn modifies the hypertrophic response to extrinsic factors such as hypertension and aortic stenosis."}
{"STANDARD_NAME":"PETRETTO_HEART_MASS_QTL_CIS_DN","SYSTEMATIC_NAME":"M13336","ORGANISM":"Rattus norvegicus","PMID":"18443592","AUTHORS":"Petretto E,Sarwar R,Grieve I,Lu H,Kumaran MK,Muckett PJ,Mangion J,Schroen B,Benson M,Punjabi PP,Prasad SK,Pennell DJ,Kiesewetter C,Tasheva ES,Corpuz LM,Webb MD,Conrad GW,Kurtz TW,Kren V,Fischer J,Hubner N,Pinto YM,Pravenec M,Aitman TJ,Cook SA","GEOID":"GSE10161","EXACT_SOURCE":"Table 2S","CHIP":"AFFY_Rat230","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated cis-regulated expression quantitative loci (cis-eQTL) in the heart that colocalize with previously mapped cardiac mass QTLs.","DESCRIPTION_FULL":"Left ventricular mass (LVM) and cardiac gene expression are complex traits regulated by factors both intrinsic and extrinsic to the heart. To dissect the major determinants of LVM, we combined expression quantitative trait locus1 and quantitative trait transcript (QTT) analyses of the cardiac transcriptome in the rat. Using these methods and in vitro functional assays, we identified osteoglycin (Ogn) as a major candidate regulator of rat LVM, with increased Ogn protein expression associated with elevated LVM. We also applied genome-wide QTT analysis to the human heart and observed that, out of 22,000 transcripts, OGN transcript abundance had the highest correlation with LVM. We further confirmed a role for Ogn in the in vivo regulation of LVM in Ogn knockout mice. Taken together, these data implicate Ogn as a key regulator of LVM in rats, mice and humans, and suggest that Ogn modifies the hypertrophic response to extrinsic factors such as hypertension and aortic stenosis."}
{"STANDARD_NAME":"PETRETTO_LEFT_VENTRICLE_MASS_QTL_CIS_UP","SYSTEMATIC_NAME":"M1381","ORGANISM":"Rattus norvegicus","PMID":"18443592","AUTHORS":"Petretto E,Sarwar R,Grieve I,Lu H,Kumaran MK,Muckett PJ,Mangion J,Schroen B,Benson M,Punjabi PP,Prasad SK,Pennell DJ,Kiesewetter C,Tasheva ES,Corpuz LM,Webb MD,Conrad GW,Kurtz TW,Kren V,Fischer J,Hubner N,Pinto YM,Pravenec M,Aitman TJ,Cook SA","GEOID":"GSE10161","EXACT_SOURCE":"Table 5S","CHIP":"AFFY_Rat230","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Up-regulated cis-regulated expression quantitative loci (cis-eQTL) in the heart that were identified as candidate genes for the regulation of left ventricle mass (LVM).","DESCRIPTION_FULL":"Left ventricular mass (LVM) and cardiac gene expression are complex traits regulated by factors both intrinsic and extrinsic to the heart. To dissect the major determinants of LVM, we combined expression quantitative trait locus1 and quantitative trait transcript (QTT) analyses of the cardiac transcriptome in the rat. Using these methods and in vitro functional assays, we identified osteoglycin (Ogn) as a major candidate regulator of rat LVM, with increased Ogn protein expression associated with elevated LVM. We also applied genome-wide QTT analysis to the human heart and observed that, out of 22,000 transcripts, OGN transcript abundance had the highest correlation with LVM. We further confirmed a role for Ogn in the in vivo regulation of LVM in Ogn knockout mice. Taken together, these data implicate Ogn as a key regulator of LVM in rats, mice and humans, and suggest that Ogn modifies the hypertrophic response to extrinsic factors such as hypertension and aortic stenosis."}
{"STANDARD_NAME":"PETRETTO_LEFT_VENTRICLE_MASS_QTL_CIS_DN","SYSTEMATIC_NAME":"M1382","ORGANISM":"Rattus norvegicus","PMID":"18443592","AUTHORS":"Petretto E,Sarwar R,Grieve I,Lu H,Kumaran MK,Muckett PJ,Mangion J,Schroen B,Benson M,Punjabi PP,Prasad SK,Pennell DJ,Kiesewetter C,Tasheva ES,Corpuz LM,Webb MD,Conrad GW,Kurtz TW,Kren V,Fischer J,Hubner N,Pinto YM,Pravenec M,Aitman TJ,Cook SA","GEOID":"GSE10161","EXACT_SOURCE":"Table 5S","CHIP":"AFFY_Rat230","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated cis-regulated expression quantitative loci (cis-eQTL) in the heart that were identified as candidate genes for the regulation of left ventricle mass (LVM).","DESCRIPTION_FULL":"Left ventricular mass (LVM) and cardiac gene expression are complex traits regulated by factors both intrinsic and extrinsic to the heart. To dissect the major determinants of LVM, we combined expression quantitative trait locus1 and quantitative trait transcript (QTT) analyses of the cardiac transcriptome in the rat. Using these methods and in vitro functional assays, we identified osteoglycin (Ogn) as a major candidate regulator of rat LVM, with increased Ogn protein expression associated with elevated LVM. We also applied genome-wide QTT analysis to the human heart and observed that, out of 22,000 transcripts, OGN transcript abundance had the highest correlation with LVM. We further confirmed a role for Ogn in the in vivo regulation of LVM in Ogn knockout mice. Taken together, these data implicate Ogn as a key regulator of LVM in rats, mice and humans, and suggest that Ogn modifies the hypertrophic response to extrinsic factors such as hypertension and aortic stenosis."}
{"STANDARD_NAME":"AMIT_EGF_RESPONSE_240_HELA","SYSTEMATIC_NAME":"M7714","ORGANISM":"Homo sapiens","PMID":"17322878","AUTHORS":"Amit I,Citri A,Shay T,Lu Y,Katz M,Zhang F,Tarcic G,Siwak D,Lahad J,Jacob-Hirsch J,Amariglio N,Vaisman N,Segal E,Rechavi G,Alon U,Mills GB,Domany E,Yarden Y","GEOID":"GSE6786,GSE6784,GSE6783","EXACT_SOURCE":"Table 1S: Part-2 EGF peak 240 min","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes whose expression peaked at 240 min after stimulation of HeLa cells with EGF [GeneID=1950].","DESCRIPTION_FULL":"Signaling pathways invoke interplays between forward signaling and feedback to drive robust cellular response. In this study, we address the dynamics of growth factor signaling through profiling of protein phosphorylation and gene expression, demonstrating the presence of a kinetically defined cluster of delayed early genes that function to attenuate the early events of growth factor signaling. Using epidermal growth factor receptor signaling as the major model system and concentrating on regulation of transcription and mRNA stability, we demonstrate that a number of genes within the delayed early gene cluster function as feedback regulators of immediate early genes. Consistent with their role in negative regulation of cell signaling, genes within this cluster are downregulated in diverse tumor types, in correlation with clinical outcome. More generally, our study proposes a mechanistic description of the cellular response to growth factors by defining architectural motifs that underlie the function of signaling networks."}
{"STANDARD_NAME":"AMIT_EGF_RESPONSE_20_MCF10A","SYSTEMATIC_NAME":"M4625","ORGANISM":"Homo sapiens","PMID":"17322878","AUTHORS":"Amit I,Citri A,Shay T,Lu Y,Katz M,Zhang F,Tarcic G,Siwak D,Lahad J,Jacob-Hirsch J,Amariglio N,Vaisman N,Segal E,Rechavi G,Alon U,Mills GB,Domany E,Yarden Y","GEOID":"GSE6783,GSE6784,GSE6786","EXACT_SOURCE":"Table 1S: Part-5 EGF peak 20 min","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes whose expression peaked at 20 min after stimulation of MCF10A cells with EGF [GeneID=1950].","DESCRIPTION_FULL":"Signaling pathways invoke interplays between forward signaling and feedback to drive robust cellular response. In this study, we address the dynamics of growth factor signaling through profiling of protein phosphorylation and gene expression, demonstrating the presence of a kinetically defined cluster of delayed early genes that function to attenuate the early events of growth factor signaling. Using epidermal growth factor receptor signaling as the major model system and concentrating on regulation of transcription and mRNA stability, we demonstrate that a number of genes within the delayed early gene cluster function as feedback regulators of immediate early genes. Consistent with their role in negative regulation of cell signaling, genes within this cluster are downregulated in diverse tumor types, in correlation with clinical outcome. More generally, our study proposes a mechanistic description of the cellular response to growth factors by defining architectural motifs that underlie the function of signaling networks."}
{"STANDARD_NAME":"AMIT_EGF_RESPONSE_240_MCF10A","SYSTEMATIC_NAME":"M2894","ORGANISM":"Homo sapiens","PMID":"17322878","AUTHORS":"Amit I,Citri A,Shay T,Lu Y,Katz M,Zhang F,Tarcic G,Siwak D,Lahad J,Jacob-Hirsch J,Amariglio N,Vaisman N,Segal E,Rechavi G,Alon U,Mills GB,Domany E,Yarden Y","GEOID":"GSE6784,GSE6783,GSE6786","EXACT_SOURCE":"Table 1S: Part-5 EGF peak 240 min","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes whose expression peaked at 240 min after stimulation of MCF10A cells with EGF [GeneID=1950].","DESCRIPTION_FULL":"Signaling pathways invoke interplays between forward signaling and feedback to drive robust cellular response. In this study, we address the dynamics of growth factor signaling through profiling of protein phosphorylation and gene expression, demonstrating the presence of a kinetically defined cluster of delayed early genes that function to attenuate the early events of growth factor signaling. Using epidermal growth factor receptor signaling as the major model system and concentrating on regulation of transcription and mRNA stability, we demonstrate that a number of genes within the delayed early gene cluster function as feedback regulators of immediate early genes. Consistent with their role in negative regulation of cell signaling, genes within this cluster are downregulated in diverse tumor types, in correlation with clinical outcome. More generally, our study proposes a mechanistic description of the cellular response to growth factors by defining architectural motifs that underlie the function of signaling networks."}
{"STANDARD_NAME":"AMIT_EGF_RESPONSE_480_MCF10A","SYSTEMATIC_NAME":"M12170","ORGANISM":"Homo sapiens","PMID":"17322878","AUTHORS":"Amit I,Citri A,Shay T,Lu Y,Katz M,Zhang F,Tarcic G,Siwak D,Lahad J,Jacob-Hirsch J,Amariglio N,Vaisman N,Segal E,Rechavi G,Alon U,Mills GB,Domany E,Yarden Y","GEOID":"GSE6786,GSE6784,GSE6783","EXACT_SOURCE":"Table 1S: Part-5 EGF peak 480 min","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes whose expression peaked at 480 min after stimulation of MCF10A cells with EGF [GeneID=1950].","DESCRIPTION_FULL":"Signaling pathways invoke interplays between forward signaling and feedback to drive robust cellular response. In this study, we address the dynamics of growth factor signaling through profiling of protein phosphorylation and gene expression, demonstrating the presence of a kinetically defined cluster of delayed early genes that function to attenuate the early events of growth factor signaling. Using epidermal growth factor receptor signaling as the major model system and concentrating on regulation of transcription and mRNA stability, we demonstrate that a number of genes within the delayed early gene cluster function as feedback regulators of immediate early genes. Consistent with their role in negative regulation of cell signaling, genes within this cluster are downregulated in diverse tumor types, in correlation with clinical outcome. More generally, our study proposes a mechanistic description of the cellular response to growth factors by defining architectural motifs that underlie the function of signaling networks."}
{"STANDARD_NAME":"AMIT_SERUM_RESPONSE_20_MCF10A","SYSTEMATIC_NAME":"M11193","ORGANISM":"Homo sapiens","PMID":"17322878","AUTHORS":"Amit I,Citri A,Shay T,Lu Y,Katz M,Zhang F,Tarcic G,Siwak D,Lahad J,Jacob-Hirsch J,Amariglio N,Vaisman N,Segal E,Rechavi G,Alon U,Mills GB,Domany E,Yarden Y","GEOID":"GSE6786,GSE6784,GSE6783","EXACT_SOURCE":"Table 1S: Part-5 serum peak 20 min","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes whose expression peaked at 20 min after stimulation of MCF10A cells with serum.","DESCRIPTION_FULL":"Signaling pathways invoke interplays between forward signaling and feedback to drive robust cellular response. In this study, we address the dynamics of growth factor signaling through profiling of protein phosphorylation and gene expression, demonstrating the presence of a kinetically defined cluster of delayed early genes that function to attenuate the early events of growth factor signaling. Using epidermal growth factor receptor signaling as the major model system and concentrating on regulation of transcription and mRNA stability, we demonstrate that a number of genes within the delayed early gene cluster function as feedback regulators of immediate early genes. Consistent with their role in negative regulation of cell signaling, genes within this cluster are downregulated in diverse tumor types, in correlation with clinical outcome. More generally, our study proposes a mechanistic description of the cellular response to growth factors by defining architectural motifs that underlie the function of signaling networks."}
{"STANDARD_NAME":"AMIT_SERUM_RESPONSE_240_MCF10A","SYSTEMATIC_NAME":"M2777","ORGANISM":"Homo sapiens","PMID":"17322878","AUTHORS":"Amit I,Citri A,Shay T,Lu Y,Katz M,Zhang F,Tarcic G,Siwak D,Lahad J,Jacob-Hirsch J,Amariglio N,Vaisman N,Segal E,Rechavi G,Alon U,Mills GB,Domany E,Yarden Y","GEOID":"GSE6783,GSE6786,GSE6784","EXACT_SOURCE":"Table 1S: Part-5 serum peak 240 min","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes whose expression peaked at 240 min after stimulation of MCF10A cells with serum.","DESCRIPTION_FULL":"Signaling pathways invoke interplays between forward signaling and feedback to drive robust cellular response. In this study, we address the dynamics of growth factor signaling through profiling of protein phosphorylation and gene expression, demonstrating the presence of a kinetically defined cluster of delayed early genes that function to attenuate the early events of growth factor signaling. Using epidermal growth factor receptor signaling as the major model system and concentrating on regulation of transcription and mRNA stability, we demonstrate that a number of genes within the delayed early gene cluster function as feedback regulators of immediate early genes. Consistent with their role in negative regulation of cell signaling, genes within this cluster are downregulated in diverse tumor types, in correlation with clinical outcome. More generally, our study proposes a mechanistic description of the cellular response to growth factors by defining architectural motifs that underlie the function of signaling networks."}
{"STANDARD_NAME":"AMIT_SERUM_RESPONSE_480_MCF10A","SYSTEMATIC_NAME":"M8202","ORGANISM":"Homo sapiens","PMID":"17322878","AUTHORS":"Amit I,Citri A,Shay T,Lu Y,Katz M,Zhang F,Tarcic G,Siwak D,Lahad J,Jacob-Hirsch J,Amariglio N,Vaisman N,Segal E,Rechavi G,Alon U,Mills GB,Domany E,Yarden Y","GEOID":"GSE6783,GSE6784,GSE6786","EXACT_SOURCE":"Table 1S: Part-5 serum peak 480 min","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes whose expression peaked at 480 min after stimulation of MCF10A cells with serum.","DESCRIPTION_FULL":"Signaling pathways invoke interplays between forward signaling and feedback to drive robust cellular response. In this study, we address the dynamics of growth factor signaling through profiling of protein phosphorylation and gene expression, demonstrating the presence of a kinetically defined cluster of delayed early genes that function to attenuate the early events of growth factor signaling. Using epidermal growth factor receptor signaling as the major model system and concentrating on regulation of transcription and mRNA stability, we demonstrate that a number of genes within the delayed early gene cluster function as feedback regulators of immediate early genes. Consistent with their role in negative regulation of cell signaling, genes within this cluster are downregulated in diverse tumor types, in correlation with clinical outcome. More generally, our study proposes a mechanistic description of the cellular response to growth factors by defining architectural motifs that underlie the function of signaling networks."}
{"STANDARD_NAME":"SHEN_SMARCA2_TARGETS_DN","SYSTEMATIC_NAME":"M1676","ORGANISM":"Homo sapiens","PMID":"19074882","AUTHORS":"Shen H,Powers N,Saini N,Comstock CE,Sharma A,Weaver K,Revelo MP,Gerald W,Williams E,Jessen WJ,Aronow BJ,Rosson G,Weissman B,Muchardt C,Yaniv M,Knudsen KE","EXACT_SOURCE":"Fig S6: anti-correlated","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes whose expression negatively correlated with that of SMARCA2 [GeneID=6595] in prostate cancer samples.","DESCRIPTION_FULL":"Factors that drive prostate cancer progression remain poorly defined, thus hindering the development of new therapeutic strategies. Disseminated tumors are treated through regimens that ablate androgen signaling, as prostate cancer cells require androgen for growth and survival. However, recurrent, incurable tumors that have bypassed the androgen requirement ultimately arise. This study reveals that the Brm ATPase, a component of selected SWI/SNF complexes, has significant antiproliferative functions in the prostate that protect against these transitions. First, we show that targeted ablation of Brm is causative for the development of prostatic hyperplasia in mice. Second, in vivo challenge revealed that Brm-/- epithelia acquire the capacity for lobe-specific, castration-resistant cellular proliferation. Third, investigation of human specimens revealed that Brm mRNA and protein levels are attenuated in prostate cancer. Fourth, Brm down-regulation was associated with an increased proliferative index, consistent with the mouse model. Lastly, gene expression profiling showed that Brm loss alters factors upstream of E2F1; this was confirmed in murine models, wherein Brm loss induced E2F1 deregulation in a tissue-specific manner. Combined, these data identify Brm as a major effector of serum androgen-induced proliferation in the prostate that is disrupted in human disease, and indicate that loss of Brm confers a proliferative advantage in prostate cancer."}
{"STANDARD_NAME":"LIN_SILENCED_BY_TUMOR_MICROENVIRONMENT","SYSTEMATIC_NAME":"M19768","ORGANISM":"Homo sapiens","PMID":"19074894","AUTHORS":"Lin HJ,Zuo T,Lin CH,Kuo CT,Liyanarachchi S,Sun S,Shen R,Deatherage DE,Potter D,Asamoto L,Lin S,Yan PS,Cheng AL,Ostrowski MC,Huang TH","GEOID":"GSE10046","EXACT_SOURCE":"Table 2S","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes downregulated in MCF10A cells (breast cancer) co-cultured with cancer-associated fibroblasts (CAF).","DESCRIPTION_FULL":"The interplay between histone modifications and promoter hypermethylation provides a causative explanation for epigenetic gene silencing in cancer. Less is known about the upstream initiators that direct this process. Here, we report that the Cystatin M (CST6) tumor suppressor gene is concurrently down-regulated with other loci in breast epithelial cells cocultured with cancer-associated fibroblasts (CAF). Promoter hypermethylation of CST6 is associated with aberrant AKT1 activation in epithelial cells, as well as the disabled INNP4B regulator resulting from the suppression by CAFs. Repressive chromatin, marked by trimethyl-H3K27 and dimethyl-H3K9, and de novo DNA methylation is established at the promoter. The findings suggest that microenvironmental stimuli are triggers in this epigenetic cascade, leading to the long-term silencing of CST6 in breast tumors. Our present findings implicate a causal mechanism defining how tumor stromal fibroblasts support neoplastic progression by manipulating the epigenome of mammary epithelial cells. The result also highlights the importance of direct cell-cell contact between epithelial cells and the surrounding fibroblasts that confer this epigenetic perturbation. Because this two-way interaction is anticipated, the described coculture system can be used to determine the effect of epithelial factors on fibroblasts in future studies."}
{"STANDARD_NAME":"SAKAI_TUMOR_INFILTRATING_MONOCYTES_UP","SYSTEMATIC_NAME":"M14614","ORGANISM":"Homo sapiens","PMID":"19074895","AUTHORS":"Sakai Y,Honda M,Fujinaga H,Tatsumi I,Mizukoshi E,Nakamoto Y,Kaneko S","EXACT_SOURCE":"Table 3S","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Selected genes up-regulated in inflammatory monocytes infiltrating hepatocellular carcinoma (HCC).","DESCRIPTION_FULL":"Hepatocellular carcinoma (HCC) is frequently associated with infiltrating mononuclear inflammatory cells. We performed laser capture microdissection of HCC-infiltrating and noncancerous liver-infiltrating mononuclear inflammatory cells in patients with chronic hepatitis C (CH-C) and examined gene expression profiles. HCC-infiltrating mononuclear inflammatory cells had an expression profile distinct from noncancerous liver-infiltrating mononuclear inflammatory cells; they differed with regard to genes involved in biological processes, such as antigen presentation, ubiquitin-proteasomal proteolysis, and responses to hypoxia and oxidative stress. Immunohistochemical analysis and gene expression databases suggested that the up-regulated genes involved macrophages and Th1 and Th2 CD4 cells. We next examined the gene expression profile of peripheral blood mononuclear cells (PBMC) obtained from CH-C patients with or without HCC. The expression profiles of PBMCs from patients with HCC differed significantly from those of patients without HCC (P < 0.0005). Many of the up-regulated genes in HCC-infiltrating mononuclear inflammatory cells were also differentially expressed by PBMCs of HCC patients. Analysis of the commonly up-regulated or down-regulated genes in HCC-infiltrating mononuclear inflammatory cells and PBMCs of HCC patients showed networks of nucleophosmin, SMAD3, and proliferating cell nuclear antigen that are involved with redox status, the cell cycle, and the proteasome system, along with immunologic genes, suggesting regulation of anticancer immunity. Thus, exploring the gene expression profile of PBMCs may be a surrogate approach for the assessment of local HCC-infiltrating mononuclear inflammatory cells."}
{"STANDARD_NAME":"SAKAI_CHRONIC_HEPATITIS_VS_LIVER_CANCER_DN","SYSTEMATIC_NAME":"M15473","ORGANISM":"Homo sapiens","PMID":"19074895","AUTHORS":"Sakai Y,Honda M,Fujinaga H,Tatsumi I,Mizukoshi E,Nakamoto Y,Kaneko S","EXACT_SOURCE":"Table 4S","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Selected genes down-regulated in peripheral blood monocytes (PBMC) of patients with hepatocellular carcinoma (HCC) compared to those with chronic hepatitis.","DESCRIPTION_FULL":"Hepatocellular carcinoma (HCC) is frequently associated with infiltrating mononuclear inflammatory cells. We performed laser capture microdissection of HCC-infiltrating and noncancerous liver-infiltrating mononuclear inflammatory cells in patients with chronic hepatitis C (CH-C) and examined gene expression profiles. HCC-infiltrating mononuclear inflammatory cells had an expression profile distinct from noncancerous liver-infiltrating mononuclear inflammatory cells; they differed with regard to genes involved in biological processes, such as antigen presentation, ubiquitin-proteasomal proteolysis, and responses to hypoxia and oxidative stress. Immunohistochemical analysis and gene expression databases suggested that the up-regulated genes involved macrophages and Th1 and Th2 CD4 cells. We next examined the gene expression profile of peripheral blood mononuclear cells (PBMC) obtained from CH-C patients with or without HCC. The expression profiles of PBMCs from patients with HCC differed significantly from those of patients without HCC (P < 0.0005). Many of the up-regulated genes in HCC-infiltrating mononuclear inflammatory cells were also differentially expressed by PBMCs of HCC patients. Analysis of the commonly up-regulated or down-regulated genes in HCC-infiltrating mononuclear inflammatory cells and PBMCs of HCC patients showed networks of nucleophosmin, SMAD3, and proliferating cell nuclear antigen that are involved with redox status, the cell cycle, and the proteasome system, along with immunologic genes, suggesting regulation of anticancer immunity. Thus, exploring the gene expression profile of PBMCs may be a surrogate approach for the assessment of local HCC-infiltrating mononuclear inflammatory cells."}
{"STANDARD_NAME":"JEON_SMAD6_TARGETS_UP","SYSTEMATIC_NAME":"M4592","ORGANISM":"Homo sapiens","PMID":"19047146","AUTHORS":"Jeon HS,Dracheva T,Yang SH,Meerzaman D,Fukuoka J,Shakoori A,Shilo K,Travis WD,Jen J","EXACT_SOURCE":"Table 3S","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in H1299 cells (lung cancer) upon knockdown of SMAD6 [GeneID=4091] by RNAi.","DESCRIPTION_FULL":"The malignant transformation in several types of cancer, including lung cancer, results in a loss of growth inhibition by transforming growth factor-beta (TGF-beta). Here, we show that SMAD6 expression is associated with a reduced survival in lung cancer patients. Short hairpin RNA (shRNA)-mediated knockdown of SMAD6 in lung cancer cell lines resulted in reduced cell viability and increased apoptosis as well as inhibition of cell cycle progression. However, these results were not seen in Beas2B, a normal bronchial epithelial cell line. To better understand the mechanism underlying the association of SMAD6 with poor patient survival, we used a lentivirus construct carrying shRNA for SMAD6 to knock down expression of the targeted gene. Through gene expression analysis, we observed that knockdown of SMAD6 led to the activation of TGF-beta signaling through up-regulation of plasminogen activator inhibitor-1 and phosphorylation of SMAD2/3. Furthermore, SMAD6 knockdown activated the c-Jun NH2-terminal kinase pathway and reduced phosphorylation of Rb-1, resulting in increased G0-G1 cell arrest and apoptosis in the lung cancer cell line H1299. These results jointly suggest that SMAD6 plays a critical role in supporting lung cancer cell growth and survival. Targeted inactivation of SMAD6 may provide a novel therapeutic strategy for lung cancers expressing this gene."}
{"STANDARD_NAME":"WANG_PROSTATE_CANCER_ANDROGEN_INDEPENDENT","SYSTEMATIC_NAME":"M16347","ORGANISM":"Homo sapiens","PMID":"19047173","AUTHORS":"Wang G,Wang J,Sadar MD","GEOID":"GSE2443","EXACT_SOURCE":"Table 2S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes changed in prostate cancer: androgen independent vs androgen dependent samples.","DESCRIPTION_FULL":"The androgen-signaling pathway plays an important role in the development and hormonal progression of prostate cancer to the castrate-resistant stage (also called androgen-independent or hormone refractory). The Wnt pathway and beta-catenin contribute to prostate biology and pathology. Here application of Affymetrix GeneChip analysis revealed the genomic similarity of the LNCaP hollow fiber model to clinical samples and identified genes with differential expression during hormonal progression. The fiber model samples clustered according to the expression profile of androgen-regulated genes to provide genomic evidence for the reactivation of the AR signaling pathway in castrate-resistant prostate cancer. Pathway-based characterization of gene expression identified activation of the Wnt pathway. Together with the increased expression of AR and beta-catenin, there was increased nuclear colocalization and interaction of endogenous AR and beta-catenin in castrate-resistant prostate cancer from castrated mice. Surprisingly, no interaction or colocalization of AR and beta-catenin could be detected in xenografts from noncastrated mice. These studies provide the first in vivo evidence to support aberrant activation of the AR through the Wnt/beta-catenin signaling pathway during progression of prostate cancer to the terminal castrate-resistant stage."}
{"STANDARD_NAME":"SUNG_METASTASIS_STROMA_DN","SYSTEMATIC_NAME":"M2904","ORGANISM":"Homo sapiens","PMID":"19047182","AUTHORS":"Sung SY,Hsieh CL,Law A,Zhau HE,Pathak S,Multani AS,Lim S,Coleman IM,Wu LC,Figg WD,Dahut WL,Nelson P,Lee JK,Amin MB,Lyles R,Johnstone PA,Marshall FF,Chung LW","EXACT_SOURCE":"Table 2S","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in metastatic vs non-metastatic stromal cells originated from either bone or prostate tissues.","DESCRIPTION_FULL":"Human bone stromal cells, after three-dimensional coculture with human prostate cancer (PCa) cells in vitro, underwent permanent cytogenetic and gene expression changes with reactive oxygen species serving as mediators. The evolved stromal cells are highly inductive of human PCa growth in mice, and expressed increased levels of extracellular matrix (versican and tenascin) and chemokine (BDFN, CCL5, CXCL5, and CXCL16) genes. These genes were validated in clinical tissue and/or serum specimens and could be the predictors for invasive and bone metastatic PCa. These results, combined with our previous observations, support the concept of permanent genetic and behavioral changes of PCa epithelial cells after being either cocultured with prostate or bone stromal cells as three-dimensional prostate organoids or grown as tumor xenografts in mice. These observations collectively suggest coevolution of cancer and stromal cells occurred under three-dimensional growth condition, which ultimately accelerates cancer growth and metastasis."}
{"STANDARD_NAME":"SHIN_B_CELL_LYMPHOMA_CLUSTER_2","SYSTEMATIC_NAME":"M1384","ORGANISM":"Mus musculus","PMID":"19010892","AUTHORS":"Shin DM,Shaffer DJ,Wang H,Roopenian DC,Morse HC 3rd","EXACT_SOURCE":"Table 2S: Cluster = 2","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster 2 of genes distinguishing among different B lymphocyte neoplasms.","DESCRIPTION_FULL":"Aside from Myc-activating translocations characteristic of plasmacytomas (PCT), little is known about genetic factors and signaling pathways responsible for the development of spontaneous B-cell lineage lymphomas of mice. Here, we characterized the transcriptional profiles of PCT, centroblastic diffuse large B-cell lymphomas (CBL), and high-grade splenic marginal zone B-cell lymphoma (MZL++) using high-throughput quantitative reverse transcription-PCR. Expression profiles of CBL and MZL++ were strikingly similar and quite unlike that of PCT. Among the genes expressed at significantly higher levels by PCT were a number involved in NOTCH signaling, a finding supported by gene set enrichment analyses of microarray data. To investigate the importance of this pathway, NOTCH signaling was blocked in PCT cell lines by treatment with a gamma-secretase inhibitor (GSI) or transduction of a dominant-negative mutant of MAML1. These treatments resulted in reduced expression of NOTCH transcriptional targets in association with impaired proliferation and increased apoptosis. GSI treatment of transformed plasma cells in a primary PCT also induced apoptosis. These results integrate NOTCH activation with oncogenic signaling pathways downstream of translocated Myc in the pathogenesis of mouse PCT, two signaling pathways also implicated in development of human multiple myeloma and T-cell lymphoblastic lymphoma."}
{"STANDARD_NAME":"SHIN_B_CELL_LYMPHOMA_CLUSTER_5","SYSTEMATIC_NAME":"M1388","ORGANISM":"Mus musculus","PMID":"19010892","AUTHORS":"Shin DM,Shaffer DJ,Wang H,Roopenian DC,Morse HC 3rd","EXACT_SOURCE":"Table 2S: Cluster = 5","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster 5 of genes distinguishing among different B lymphocyte neoplasms.","DESCRIPTION_FULL":"Aside from Myc-activating translocations characteristic of plasmacytomas (PCT), little is known about genetic factors and signaling pathways responsible for the development of spontaneous B-cell lineage lymphomas of mice. Here, we characterized the transcriptional profiles of PCT, centroblastic diffuse large B-cell lymphomas (CBL), and high-grade splenic marginal zone B-cell lymphoma (MZL++) using high-throughput quantitative reverse transcription-PCR. Expression profiles of CBL and MZL++ were strikingly similar and quite unlike that of PCT. Among the genes expressed at significantly higher levels by PCT were a number involved in NOTCH signaling, a finding supported by gene set enrichment analyses of microarray data. To investigate the importance of this pathway, NOTCH signaling was blocked in PCT cell lines by treatment with a gamma-secretase inhibitor (GSI) or transduction of a dominant-negative mutant of MAML1. These treatments resulted in reduced expression of NOTCH transcriptional targets in association with impaired proliferation and increased apoptosis. GSI treatment of transformed plasma cells in a primary PCT also induced apoptosis. These results integrate NOTCH activation with oncogenic signaling pathways downstream of translocated Myc in the pathogenesis of mouse PCT, two signaling pathways also implicated in development of human multiple myeloma and T-cell lymphoblastic lymphoma."}
{"STANDARD_NAME":"SHIN_B_CELL_LYMPHOMA_CLUSTER_6","SYSTEMATIC_NAME":"M1390","ORGANISM":"Mus musculus","PMID":"19010892","AUTHORS":"Shin DM,Shaffer DJ,Wang H,Roopenian DC,Morse HC 3rd","EXACT_SOURCE":"Table 2S: Cluster = 6","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster 6 of genes distinguishing among different B lymphocyte neoplasms.","DESCRIPTION_FULL":"Aside from Myc-activating translocations characteristic of plasmacytomas (PCT), little is known about genetic factors and signaling pathways responsible for the development of spontaneous B-cell lineage lymphomas of mice. Here, we characterized the transcriptional profiles of PCT, centroblastic diffuse large B-cell lymphomas (CBL), and high-grade splenic marginal zone B-cell lymphoma (MZL++) using high-throughput quantitative reverse transcription-PCR. Expression profiles of CBL and MZL++ were strikingly similar and quite unlike that of PCT. Among the genes expressed at significantly higher levels by PCT were a number involved in NOTCH signaling, a finding supported by gene set enrichment analyses of microarray data. To investigate the importance of this pathway, NOTCH signaling was blocked in PCT cell lines by treatment with a gamma-secretase inhibitor (GSI) or transduction of a dominant-negative mutant of MAML1. These treatments resulted in reduced expression of NOTCH transcriptional targets in association with impaired proliferation and increased apoptosis. GSI treatment of transformed plasma cells in a primary PCT also induced apoptosis. These results integrate NOTCH activation with oncogenic signaling pathways downstream of translocated Myc in the pathogenesis of mouse PCT, two signaling pathways also implicated in development of human multiple myeloma and T-cell lymphoblastic lymphoma."}
{"STANDARD_NAME":"SHIN_B_CELL_LYMPHOMA_CLUSTER_8","SYSTEMATIC_NAME":"M1392","ORGANISM":"Mus musculus","PMID":"19010892","AUTHORS":"Shin DM,Shaffer DJ,Wang H,Roopenian DC,Morse HC 3rd","EXACT_SOURCE":"Table 2S: Cluster = 8","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster 8 of genes distinguishing among different B lymphocyte neoplasms.","DESCRIPTION_FULL":"Aside from Myc-activating translocations characteristic of plasmacytomas (PCT), little is known about genetic factors and signaling pathways responsible for the development of spontaneous B-cell lineage lymphomas of mice. Here, we characterized the transcriptional profiles of PCT, centroblastic diffuse large B-cell lymphomas (CBL), and high-grade splenic marginal zone B-cell lymphoma (MZL++) using high-throughput quantitative reverse transcription-PCR. Expression profiles of CBL and MZL++ were strikingly similar and quite unlike that of PCT. Among the genes expressed at significantly higher levels by PCT were a number involved in NOTCH signaling, a finding supported by gene set enrichment analyses of microarray data. To investigate the importance of this pathway, NOTCH signaling was blocked in PCT cell lines by treatment with a gamma-secretase inhibitor (GSI) or transduction of a dominant-negative mutant of MAML1. These treatments resulted in reduced expression of NOTCH transcriptional targets in association with impaired proliferation and increased apoptosis. GSI treatment of transformed plasma cells in a primary PCT also induced apoptosis. These results integrate NOTCH activation with oncogenic signaling pathways downstream of translocated Myc in the pathogenesis of mouse PCT, two signaling pathways also implicated in development of human multiple myeloma and T-cell lymphoblastic lymphoma."}
{"STANDARD_NAME":"SHIN_B_CELL_LYMPHOMA_CLUSTER_9","SYSTEMATIC_NAME":"M1393","ORGANISM":"Mus musculus","PMID":"19010892","AUTHORS":"Shin DM,Shaffer DJ,Wang H,Roopenian DC,Morse HC 3rd","EXACT_SOURCE":"Table 2S: Cluster = 9","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster 9 of genes distinguishing among different B lymphocyte neoplasms.","DESCRIPTION_FULL":"Aside from Myc-activating translocations characteristic of plasmacytomas (PCT), little is known about genetic factors and signaling pathways responsible for the development of spontaneous B-cell lineage lymphomas of mice. Here, we characterized the transcriptional profiles of PCT, centroblastic diffuse large B-cell lymphomas (CBL), and high-grade splenic marginal zone B-cell lymphoma (MZL++) using high-throughput quantitative reverse transcription-PCR. Expression profiles of CBL and MZL++ were strikingly similar and quite unlike that of PCT. Among the genes expressed at significantly higher levels by PCT were a number involved in NOTCH signaling, a finding supported by gene set enrichment analyses of microarray data. To investigate the importance of this pathway, NOTCH signaling was blocked in PCT cell lines by treatment with a gamma-secretase inhibitor (GSI) or transduction of a dominant-negative mutant of MAML1. These treatments resulted in reduced expression of NOTCH transcriptional targets in association with impaired proliferation and increased apoptosis. GSI treatment of transformed plasma cells in a primary PCT also induced apoptosis. These results integrate NOTCH activation with oncogenic signaling pathways downstream of translocated Myc in the pathogenesis of mouse PCT, two signaling pathways also implicated in development of human multiple myeloma and T-cell lymphoblastic lymphoma."}
{"STANDARD_NAME":"ZHANG_RESPONSE_TO_IKK_INHIBITOR_AND_TNF_DN","SYSTEMATIC_NAME":"M9160","ORGANISM":"Homo sapiens","PMID":"19010928","AUTHORS":"Zhang Y,Gavriil M,Lucas J,Mandiyan S,Follettie M,Diesl V,Sum FW,Powell D,Haney S,Abraham R,Arndt K","EXACT_SOURCE":"Table 2S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in BxPC3 cells (pancreatic cancer) after treatment with TNF [GeneID=7124] or IKI-1, an inhibitor of IkappaB kinase (IKK).","DESCRIPTION_FULL":"Tumor necrosis factor alpha (TNFalpha) has been used to treat patients with certain tumor types. However, its antitumor activity has been undermined by the activation of IkappaBalpha kinase (IKK), which in turn activates nuclear factor-kappaB (NF-kappaB) to help cancer cells survive. Therefore, inhibition of TNFalpha-induced IKK activity with specific IKK inhibitor represents an attractive strategy to treat cancer patients. This study reveals IKI-1 as a potent small molecule inhibitor of IKKalpha and IKKbeta, which effectively blocked TNFalpha-mediated IKK activation and subsequent NF-kappaB activity. Using gene profiling analysis, we show that IKI-1 blocked most of the TNFalpha-mediated mRNA expression, including many genes that play important roles in cell survival. We further show that in vitro and in vivo combination of TNFalpha with IKI-1 had superior potency than either agent alone. This increased potency was due primarily to the increased apoptosis in the presence of both TNFalpha and IKI-1. Additionally, IKKbeta small interfering RNA transfected cells were more sensitive to the treatment of TNFalpha. The study suggests that the limited efficacy of TNFalpha in cancer treatment was due in part to the activation of NF-kappaB, allowing tumor cells to escape apoptosis. Therefore, the combination of IKI-1 with TNFalpha may improve the efficacy of TNFalpha for certain tumor types."}
{"STANDARD_NAME":"MORI_PRE_BI_LYMPHOCYTE_DN","SYSTEMATIC_NAME":"M6455","ORGANISM":"Mus musculus","PMID":"18922927","AUTHORS":"Mori S,Rempel RE,Chang JT,Yao G,Lagoo AS,Potti A,Bild A,Nevins JR","GEOID":"GSE7897","EXACT_SOURCE":"Table 4S: Pre-BI","CHIP":"AFFY_Mu11K","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated genes in the B lymphocyte developmental signature, based on expression profiling of lymphomas from the Emu-myc transgenic mice: the Pre-BI stage.","DESCRIPTION_FULL":"The Emu-myc transgenic mouse has provided a valuable model for the study of B-cell lymphoma. Making use of gene expression analysis and, in particular, expression signatures of cell signaling pathway activation, we now show that several forms of B lymphoma can be identified in the Emu-myc mice associated with time of tumor onset. Furthermore, one form of Emu-myc tumor with pre-B character is shown to resemble human Burkitt lymphoma, whereas others exhibit more differentiated B-cell characteristics and show similarity with human diffuse large B-cell lymphoma in the pattern of gene expression, as well as oncogenic pathway activation. Importantly, we show that signatures of oncogenic pathway activity provide further dissection of the spectrum of diffuse large B-cell lymphoma, identifying a subset of patients who have very poor prognosis and could benefit from more aggressive or novel therapeutic strategies. Taken together, these studies provide insight into the complexity of the oncogenic process and a novel strategy for dissecting the heterogeneity of B lymphoma."}
{"STANDARD_NAME":"MORI_LARGE_PRE_BII_LYMPHOCYTE_DN","SYSTEMATIC_NAME":"M4856","ORGANISM":"Mus musculus","PMID":"18922927","AUTHORS":"Mori S,Rempel RE,Chang JT,Yao G,Lagoo AS,Potti A,Bild A,Nevins JR","GEOID":"GSE7897","EXACT_SOURCE":"Table 4S: Large Pre-BII","CHIP":"AFFY_Mu11K","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated genes in the B lymphocyte developmental signature, based on expression profiling of lymphomas from the Emu-myc transgenic mice: the Large Pre-BII stage.","DESCRIPTION_FULL":"The Emu-myc transgenic mouse has provided a valuable model for the study of B-cell lymphoma. Making use of gene expression analysis and, in particular, expression signatures of cell signaling pathway activation, we now show that several forms of B lymphoma can be identified in the Emu-myc mice associated with time of tumor onset. Furthermore, one form of Emu-myc tumor with pre-B character is shown to resemble human Burkitt lymphoma, whereas others exhibit more differentiated B-cell characteristics and show similarity with human diffuse large B-cell lymphoma in the pattern of gene expression, as well as oncogenic pathway activation. Importantly, we show that signatures of oncogenic pathway activity provide further dissection of the spectrum of diffuse large B-cell lymphoma, identifying a subset of patients who have very poor prognosis and could benefit from more aggressive or novel therapeutic strategies. Taken together, these studies provide insight into the complexity of the oncogenic process and a novel strategy for dissecting the heterogeneity of B lymphoma."}
{"STANDARD_NAME":"MORI_SMALL_PRE_BII_LYMPHOCYTE_UP","SYSTEMATIC_NAME":"M19751","ORGANISM":"Mus musculus","PMID":"18922927","AUTHORS":"Mori S,Rempel RE,Chang JT,Yao G,Lagoo AS,Potti A,Bild A,Nevins JR","GEOID":"GSE7897","EXACT_SOURCE":"Table 4S: Small Pre-BII","CHIP":"AFFY_Mu11K","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Up-regulated genes in the B lymphocyte developmental signature, based on expression profiling of lymphomas from the Emu-myc transgenic mice: the Small Pre-BII stage.","DESCRIPTION_FULL":"The Emu-myc transgenic mouse has provided a valuable model for the study of B-cell lymphoma. Making use of gene expression analysis and, in particular, expression signatures of cell signaling pathway activation, we now show that several forms of B lymphoma can be identified in the Emu-myc mice associated with time of tumor onset. Furthermore, one form of Emu-myc tumor with pre-B character is shown to resemble human Burkitt lymphoma, whereas others exhibit more differentiated B-cell characteristics and show similarity with human diffuse large B-cell lymphoma in the pattern of gene expression, as well as oncogenic pathway activation. Importantly, we show that signatures of oncogenic pathway activity provide further dissection of the spectrum of diffuse large B-cell lymphoma, identifying a subset of patients who have very poor prognosis and could benefit from more aggressive or novel therapeutic strategies. Taken together, these studies provide insight into the complexity of the oncogenic process and a novel strategy for dissecting the heterogeneity of B lymphoma."}
{"STANDARD_NAME":"MORI_SMALL_PRE_BII_LYMPHOCYTE_DN","SYSTEMATIC_NAME":"M13396","ORGANISM":"Mus musculus","PMID":"18922927","AUTHORS":"Mori S,Rempel RE,Chang JT,Yao G,Lagoo AS,Potti A,Bild A,Nevins JR","GEOID":"GSE7897","EXACT_SOURCE":"Table 4S: Small Pre-BII","CHIP":"AFFY_Mu11K","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated genes in the B lymphocyte developmental signature, based on expression profiling of lymphomas from the Emu-myc transgenic mice: the Small Pre-BII stage.","DESCRIPTION_FULL":"The Emu-myc transgenic mouse has provided a valuable model for the study of B-cell lymphoma. Making use of gene expression analysis and, in particular, expression signatures of cell signaling pathway activation, we now show that several forms of B lymphoma can be identified in the Emu-myc mice associated with time of tumor onset. Furthermore, one form of Emu-myc tumor with pre-B character is shown to resemble human Burkitt lymphoma, whereas others exhibit more differentiated B-cell characteristics and show similarity with human diffuse large B-cell lymphoma in the pattern of gene expression, as well as oncogenic pathway activation. Importantly, we show that signatures of oncogenic pathway activity provide further dissection of the spectrum of diffuse large B-cell lymphoma, identifying a subset of patients who have very poor prognosis and could benefit from more aggressive or novel therapeutic strategies. Taken together, these studies provide insight into the complexity of the oncogenic process and a novel strategy for dissecting the heterogeneity of B lymphoma."}
{"STANDARD_NAME":"MORI_IMMATURE_B_LYMPHOCYTE_UP","SYSTEMATIC_NAME":"M11262","ORGANISM":"Mus musculus","PMID":"18922927","AUTHORS":"Mori S,Rempel RE,Chang JT,Yao G,Lagoo AS,Potti A,Bild A,Nevins JR","GEOID":"GSE7897","EXACT_SOURCE":"Table 4S: Immature B","CHIP":"AFFY_Mu11K","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Up-regulated genes in the B lymphocyte developmental signature based on expression profiling of lymphomas from the Emu-myc transgenic mice: the immature B stage.","DESCRIPTION_FULL":"The Emu-myc transgenic mouse has provided a valuable model for the study of B-cell lymphoma. Making use of gene expression analysis and, in particular, expression signatures of cell signaling pathway activation, we now show that several forms of B lymphoma can be identified in the Emu-myc mice associated with time of tumor onset. Furthermore, one form of Emu-myc tumor with pre-B character is shown to resemble human Burkitt lymphoma, whereas others exhibit more differentiated B-cell characteristics and show similarity with human diffuse large B-cell lymphoma in the pattern of gene expression, as well as oncogenic pathway activation. Importantly, we show that signatures of oncogenic pathway activity provide further dissection of the spectrum of diffuse large B-cell lymphoma, identifying a subset of patients who have very poor prognosis and could benefit from more aggressive or novel therapeutic strategies. Taken together, these studies provide insight into the complexity of the oncogenic process and a novel strategy for dissecting the heterogeneity of B lymphoma."}
{"STANDARD_NAME":"MORI_MATURE_B_LYMPHOCYTE_UP","SYSTEMATIC_NAME":"M17083","ORGANISM":"Mus musculus","PMID":"18922927","AUTHORS":"Mori S,Rempel RE,Chang JT,Yao G,Lagoo AS,Potti A,Bild A,Nevins JR","GEOID":"GSE7897","EXACT_SOURCE":"Table 4S: Mature B","CHIP":"AFFY_Mu11K","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Up-regulated genes in the B lymphocyte developmental signature, based on expression profiling of lymphomas from the Emu-myc transgenic mice: the mature B","DESCRIPTION_FULL":"The Emu-myc transgenic mouse has provided a valuable model for the study of B-cell lymphoma. Making use of gene expression analysis and, in particular, expression signatures of cell signaling pathway activation, we now show that several forms of B lymphoma can be identified in the Emu-myc mice associated with time of tumor onset. Furthermore, one form of Emu-myc tumor with pre-B character is shown to resemble human Burkitt lymphoma, whereas others exhibit more differentiated B-cell characteristics and show similarity with human diffuse large B-cell lymphoma in the pattern of gene expression, as well as oncogenic pathway activation. Importantly, we show that signatures of oncogenic pathway activity provide further dissection of the spectrum of diffuse large B-cell lymphoma, identifying a subset of patients who have very poor prognosis and could benefit from more aggressive or novel therapeutic strategies. Taken together, these studies provide insight into the complexity of the oncogenic process and a novel strategy for dissecting the heterogeneity of B lymphoma."}
{"STANDARD_NAME":"MORI_MATURE_B_LYMPHOCYTE_DN","SYSTEMATIC_NAME":"M15847","ORGANISM":"Mus musculus","PMID":"18922927","AUTHORS":"Mori S,Rempel RE,Chang JT,Yao G,Lagoo AS,Potti A,Bild A,Nevins JR","GEOID":"GSE7897","EXACT_SOURCE":"Table 4S: Mature B","CHIP":"AFFY_Mu11K","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated genes in the B lymphocyte developmental signature, based on expression profiling of lymphomas from the Emu-myc transgenic mice: the mature B","DESCRIPTION_FULL":"The Emu-myc transgenic mouse has provided a valuable model for the study of B-cell lymphoma. Making use of gene expression analysis and, in particular, expression signatures of cell signaling pathway activation, we now show that several forms of B lymphoma can be identified in the Emu-myc mice associated with time of tumor onset. Furthermore, one form of Emu-myc tumor with pre-B character is shown to resemble human Burkitt lymphoma, whereas others exhibit more differentiated B-cell characteristics and show similarity with human diffuse large B-cell lymphoma in the pattern of gene expression, as well as oncogenic pathway activation. Importantly, we show that signatures of oncogenic pathway activity provide further dissection of the spectrum of diffuse large B-cell lymphoma, identifying a subset of patients who have very poor prognosis and could benefit from more aggressive or novel therapeutic strategies. Taken together, these studies provide insight into the complexity of the oncogenic process and a novel strategy for dissecting the heterogeneity of B lymphoma."}
{"STANDARD_NAME":"MORI_PLASMA_CELL_UP","SYSTEMATIC_NAME":"M1487","ORGANISM":"Mus musculus","PMID":"18922927","AUTHORS":"Mori S,Rempel RE,Chang JT,Yao G,Lagoo AS,Potti A,Bild A,Nevins JR","GEOID":"GSE7897","EXACT_SOURCE":"Table 4S: Plasma Cell","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Up-regulated genes in the B lymphocyte developmental signature, based on expression profiling of lymphomas from the Emu-myc transgenic mice: plasma cell.","DESCRIPTION_FULL":"The Emu-myc transgenic mouse has provided a valuable model for the study of B-cell lymphoma. Making use of gene expression analysis and, in particular, expression signatures of cell signaling pathway activation, we now show that several forms of B lymphoma can be identified in the Emu-myc mice associated with time of tumor onset. Furthermore, one form of Emu-myc tumor with pre-B character is shown to resemble human Burkitt lymphoma, whereas others exhibit more differentiated B-cell characteristics and show similarity with human diffuse large B-cell lymphoma in the pattern of gene expression, as well as oncogenic pathway activation. Importantly, we show that signatures of oncogenic pathway activity provide further dissection of the spectrum of diffuse large B-cell lymphoma, identifying a subset of patients who have very poor prognosis and could benefit from more aggressive or novel therapeutic strategies. Taken together, these studies provide insight into the complexity of the oncogenic process and a novel strategy for dissecting the heterogeneity of B lymphoma."}
{"STANDARD_NAME":"MORI_PLASMA_CELL_DN","SYSTEMATIC_NAME":"M19509","ORGANISM":"Mus musculus","PMID":"18922927","AUTHORS":"Mori S,Rempel RE,Chang JT,Yao G,Lagoo AS,Potti A,Bild A,Nevins JR","GEOID":"GSE7897","EXACT_SOURCE":"Table 4S: Plasma Cell","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated genes in the B lymphocyte developmental signature, based on expression profiling of lymphomas from the Emu-myc transgenic mice: plasma cell.","DESCRIPTION_FULL":"The Emu-myc transgenic mouse has provided a valuable model for the study of B-cell lymphoma. Making use of gene expression analysis and, in particular, expression signatures of cell signaling pathway activation, we now show that several forms of B lymphoma can be identified in the Emu-myc mice associated with time of tumor onset. Furthermore, one form of Emu-myc tumor with pre-B character is shown to resemble human Burkitt lymphoma, whereas others exhibit more differentiated B-cell characteristics and show similarity with human diffuse large B-cell lymphoma in the pattern of gene expression, as well as oncogenic pathway activation. Importantly, we show that signatures of oncogenic pathway activity provide further dissection of the spectrum of diffuse large B-cell lymphoma, identifying a subset of patients who have very poor prognosis and could benefit from more aggressive or novel therapeutic strategies. Taken together, these studies provide insight into the complexity of the oncogenic process and a novel strategy for dissecting the heterogeneity of B lymphoma."}
{"STANDARD_NAME":"MORI_EMU_MYC_LYMPHOMA_BY_ONSET_TIME_UP","SYSTEMATIC_NAME":"M4939","ORGANISM":"Mus musculus","PMID":"18922927","AUTHORS":"Mori S,Rempel RE,Chang JT,Yao G,Lagoo AS,Potti A,Bild A,Nevins JR","GEOID":"GSE7897","EXACT_SOURCE":"Table 6S: early onset tumor correlated genes","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes correlated with the early tumor onset in the Emu-myc transgenic mouse lymphoma model.","DESCRIPTION_FULL":"The Emu-myc transgenic mouse has provided a valuable model for the study of B-cell lymphoma. Making use of gene expression analysis and, in particular, expression signatures of cell signaling pathway activation, we now show that several forms of B lymphoma can be identified in the Emu-myc mice associated with time of tumor onset. Furthermore, one form of Emu-myc tumor with pre-B character is shown to resemble human Burkitt lymphoma, whereas others exhibit more differentiated B-cell characteristics and show similarity with human diffuse large B-cell lymphoma in the pattern of gene expression, as well as oncogenic pathway activation. Importantly, we show that signatures of oncogenic pathway activity provide further dissection of the spectrum of diffuse large B-cell lymphoma, identifying a subset of patients who have very poor prognosis and could benefit from more aggressive or novel therapeutic strategies. Taken together, these studies provide insight into the complexity of the oncogenic process and a novel strategy for dissecting the heterogeneity of B lymphoma."}
{"STANDARD_NAME":"MORI_EMU_MYC_LYMPHOMA_BY_ONSET_TIME_DN","SYSTEMATIC_NAME":"M3621","ORGANISM":"Mus musculus","PMID":"18922927","AUTHORS":"Mori S,Rempel RE,Chang JT,Yao G,Lagoo AS,Potti A,Bild A,Nevins JR","GEOID":"GSE7897","EXACT_SOURCE":"Table 6S: late onset tumor correlated genes","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes correlated with the late tumor onset in the Emu-myc transgenic mouse lymphoma model.","DESCRIPTION_FULL":"The Emu-myc transgenic mouse has provided a valuable model for the study of B-cell lymphoma. Making use of gene expression analysis and, in particular, expression signatures of cell signaling pathway activation, we now show that several forms of B lymphoma can be identified in the Emu-myc mice associated with time of tumor onset. Furthermore, one form of Emu-myc tumor with pre-B character is shown to resemble human Burkitt lymphoma, whereas others exhibit more differentiated B-cell characteristics and show similarity with human diffuse large B-cell lymphoma in the pattern of gene expression, as well as oncogenic pathway activation. Importantly, we show that signatures of oncogenic pathway activity provide further dissection of the spectrum of diffuse large B-cell lymphoma, identifying a subset of patients who have very poor prognosis and could benefit from more aggressive or novel therapeutic strategies. Taken together, these studies provide insight into the complexity of the oncogenic process and a novel strategy for dissecting the heterogeneity of B lymphoma."}
{"STANDARD_NAME":"COLLIS_PRKDC_SUBSTRATES","SYSTEMATIC_NAME":"M4495","ORGANISM":"Homo sapiens","PMID":"15592499","AUTHORS":"Collis SJ,DeWeese TL,Jeggo PA,Parker AR","EXACT_SOURCE":"Table 1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Substrates of PRKDC [GeneID=5591].","DESCRIPTION_FULL":"Double-strand breaks (DSBs) arise endogenously during normal cellular processes and exogenously by genotoxic agents such as ionizing radiation (IR). DSBs are one of the most severe types of DNA damage, which if left unrepaired are lethal to the cell. Several different DNA repair pathways combat DSBs, with nonhomologous end-joining (NHEJ) being one of the most important in mammalian cells. Competent NHEJ catalyses repair of DSBs by joining together and ligating two free DNA ends of little homology (microhomology) or DNA ends of no homology. The core components of mammalian NHEJ are the catalytic subunit of DNA protein kinase (DNA-PK(cs)), Ku subunits Ku70 and Ku80, Artemis, XRCC4 and DNA ligase IV. DNA-PK is a nuclear serine/threonine protein kinase that comprises a catalytic subunit (DNA-PK(cs)), with the Ku subunits acting as the regulatory element. It has been proposed that DNA-PK is a molecular sensor for DNA damage that enhances the signal via phosphorylation of many downstream targets. The crucial role of DNA-PK in the repair of DSBs is highlighted by the hypersensitivity of DNA-PK(-/-) mice to IR and the high levels of unrepaired DSBs after genotoxic insult. Recently, DNA-PK has emerged as a suitable genetic target for molecular therapeutics such as siRNA, antisense and novel inhibitory small molecules. This review encompasses the recent literature regarding the role of DNA-PK in the protection of genomic stability and focuses on how this knowledge has aided the development of specific DNA-PK inhibitors, via both small molecule and directed molecular targeting techniques. This review promotes the inhibition of DNA-PK as a valid approach to enhance the tumor-cell-killing effects of treatments such as IR."}
{"STANDARD_NAME":"COLLIS_PRKDC_REGULATORS","SYSTEMATIC_NAME":"M5839","ORGANISM":"Homo sapiens","PMID":"15592499","AUTHORS":"Collis SJ,DeWeese TL,Jeggo PA,Parker AR","EXACT_SOURCE":"Table 2","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Proteins that regulate activity of PRKDC [GeneID=5591].","DESCRIPTION_FULL":"Double-strand breaks (DSBs) arise endogenously during normal cellular processes and exogenously by genotoxic agents such as ionizing radiation (IR). DSBs are one of the most severe types of DNA damage, which if left unrepaired are lethal to the cell. Several different DNA repair pathways combat DSBs, with nonhomologous end-joining (NHEJ) being one of the most important in mammalian cells. Competent NHEJ catalyses repair of DSBs by joining together and ligating two free DNA ends of little homology (microhomology) or DNA ends of no homology. The core components of mammalian NHEJ are the catalytic subunit of DNA protein kinase (DNA-PK(cs)), Ku subunits Ku70 and Ku80, Artemis, XRCC4 and DNA ligase IV. DNA-PK is a nuclear serine/threonine protein kinase that comprises a catalytic subunit (DNA-PK(cs)), with the Ku subunits acting as the regulatory element. It has been proposed that DNA-PK is a molecular sensor for DNA damage that enhances the signal via phosphorylation of many downstream targets. The crucial role of DNA-PK in the repair of DSBs is highlighted by the hypersensitivity of DNA-PK(-/-) mice to IR and the high levels of unrepaired DSBs after genotoxic insult. Recently, DNA-PK has emerged as a suitable genetic target for molecular therapeutics such as siRNA, antisense and novel inhibitory small molecules. This review encompasses the recent literature regarding the role of DNA-PK in the protection of genomic stability and focuses on how this knowledge has aided the development of specific DNA-PK inhibitors, via both small molecule and directed molecular targeting techniques. This review promotes the inhibition of DNA-PK as a valid approach to enhance the tumor-cell-killing effects of treatments such as IR."}
{"STANDARD_NAME":"TOMIDA_LUNG_CANCER_POOR_SURVIVAL","SYSTEMATIC_NAME":"M1397","ORGANISM":"Homo sapiens","PMID":"17260014","AUTHORS":"Tomida S,Yanagisawa K,Koshikawa K,Yatabe Y,Mitsudomi T,Osada H,Takahashi T","GEOID":"GSE4705","EXACT_SOURCE":"Table 4S","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Metastatic signature genes that best distinguished between favorable and unfavorable prognosis for the non-small cell lung cancer (NSCLC) patients.","DESCRIPTION_FULL":"Although widespread metastasis is the major cause of human lung cancer-related deaths, its underlying mechanism remains largely unclear. Our genome-wide comparison of the expression profiles of a highly metastatic lung cancer cell line, NCI-H460-LNM35 (LNM35), and its parental clone, NCI-H460-N15 (N15), resulted in the identification of a cancer metastasis signature composed of 45 genes. Through gene ontology analysis, our study also provided insights into how this 45-gene metastasis signature may contribute to the acquisition of metastatic potential. By applying the signature to datasets of human cancer cases, we could demonstrate significant associations with a subset of cases with poor prognosis not only for the two datasets of cancers of the lung but also for cancers of the breast. Furthermore, we were able to show that enforced expression of the DLX4 homeobox gene, which was identified as a gene with significant downregulation in LNM35 as well as with significant association with favorable prognosis for lung cancer patients, markedly inhibited in vitro motility and invasion as well as in vivo metastasis via both hematogenous and lymphogenous routes. Taken together, these findings indicate that our combined transcriptome analysis is an efficient approach in the search for genes possessing both clinical usefulness in terms of prognostic prediction in human cancer cases and clear functional relevance for studying cancer biology in relation to metastasis."}
{"STANDARD_NAME":"LEE_TARGETS_OF_PTCH1_AND_SUFU_UP","SYSTEMATIC_NAME":"M7669","ORGANISM":"Mus musculus","PMID":"17452975","AUTHORS":"Lee Y,Kawagoe R,Sasai K,Li Y,Russell HR,Curran T,McKinnon PJ","EXACT_SOURCE":"Fig 1S: UP in medulloblastoma, DOWN in cerebellum","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in medulloblastoma tumors from animals with inactivating mutations of one copy of PTCH1 or SUFU [GeneID=5727;51684] in conjunction with TP53 [GeneID=7157] loss.","DESCRIPTION_FULL":"The Sonic Hedgehog (SHH) signaling pathway is indispensable for development, and functions to activate a transcriptional program modulated by the GLI transcription factors. Here, we report that loss of a regulator of the SHH pathway, Suppressor of Fused (Sufu), resulted in early embryonic lethality in the mouse similar to inactivation of another SHH regulator, Patched1 (Ptch1). In contrast to Ptch1+/- mice, Sufu+/- mice were not tumor prone. However, in conjunction with p53 loss, Sufu+/- animals developed tumors including medulloblastoma and rhabdomyosarcoma. Tumors present in Sufu+/-p53-/- animals resulted from Sufu loss of heterozygosity. Sufu+/-p53-/- medulloblastomas also expressed a signature gene expression profile typical of aberrant SHH signaling, including upregulation of N-myc, Sfrp1, Ptch2 and cyclin D1. Finally, the Smoothened inhibitor, hedgehog antagonist, did not block growth of tumors arising from Sufu inactivation. These data demonstrate that Sufu is essential for development and functions as a tumor suppressor."}
{"STANDARD_NAME":"LEE_TARGETS_OF_PTCH1_AND_SUFU_DN","SYSTEMATIC_NAME":"M16478","ORGANISM":"Mus musculus","PMID":"17452975","AUTHORS":"Lee Y,Kawagoe R,Sasai K,Li Y,Russell HR,Curran T,McKinnon PJ","EXACT_SOURCE":"Fig 1S: DOWN in medulloblastoma, UP in cerebellum","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in medulloblastoma tumors from animals with inactivating mutations of one copy of PTCH1 or SUFU [GeneID=5727;51684] in conjunction with TP53 [GeneID=7157] loss.","DESCRIPTION_FULL":"The Sonic Hedgehog (SHH) signaling pathway is indispensable for development, and functions to activate a transcriptional program modulated by the GLI transcription factors. Here, we report that loss of a regulator of the SHH pathway, Suppressor of Fused (Sufu), resulted in early embryonic lethality in the mouse similar to inactivation of another SHH regulator, Patched1 (Ptch1). In contrast to Ptch1+/- mice, Sufu+/- mice were not tumor prone. However, in conjunction with p53 loss, Sufu+/- animals developed tumors including medulloblastoma and rhabdomyosarcoma. Tumors present in Sufu+/-p53-/- animals resulted from Sufu loss of heterozygosity. Sufu+/-p53-/- medulloblastomas also expressed a signature gene expression profile typical of aberrant SHH signaling, including upregulation of N-myc, Sfrp1, Ptch2 and cyclin D1. Finally, the Smoothened inhibitor, hedgehog antagonist, did not block growth of tumors arising from Sufu inactivation. These data demonstrate that Sufu is essential for development and functions as a tumor suppressor."}
{"STANDARD_NAME":"NIKOLSKY_BREAST_CANCER_1Q21_AMPLICON","SYSTEMATIC_NAME":"M5497","ORGANISM":"Homo sapiens","PMID":"19010930","AUTHORS":"Nikolsky Y,Sviridov E,Yao J,Dosymbekov D,Ustyansky V,Kaznacheev V,Dezso Z,Mulvey L,Macconaill LE,Winckler W,Serebryiskaya T,Nikolskaya T,Polyak K","EXACT_SOURCE":"Suppl. Excel File 1S: 1q21","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes within amplicon 1q21 identified in a copy number alterations study of 191 breast tumor samples.","DESCRIPTION_FULL":"A single cancer cell contains large numbers of genetic alterations that in combination create the malignant phenotype. However, whether amplified and mutated genes form functional and physical interaction networks that could explain the selection for cells with combined alterations is unknown. To investigate this issue, we characterized copy number alterations in 191 breast tumors using dense single nucleotide polymorphism arrays and identified 1,747 genes with copy number gain organized into 30 amplicons. Amplicons were distributed unequally throughout the genome. Each amplicon had distinct enrichment pattern in pathways, networks, and molecular functions, but genes within individual amplicons did not form coherent functional units. Genes in amplicons included all major tumorigenic pathways and were highly enriched in breast cancer-causative genes. In contrast, 1,188 genes with somatic mutations in breast cancer were distributed randomly over the genome, did not represent a functionally cohesive gene set, and were relatively less enriched in breast cancer marker genes. Mutated and gained genes did not show statistically significant overlap but were highly synergistic in populating key tumorigenic pathways including transforming growth factor beta, WNT, fibroblast growth factor, and PIP3 signaling. In general, mutated genes were more frequently upstream of gained genes in transcription regulation signaling than vice versa, suggesting that mutated genes are mainly regulators, whereas gained genes are mostly regulated. ESR1 was the major transcription factor regulating amplified but not mutated genes. Our results support the hypothesis that multiple genetic events, including copy number gains and somatic mutations, are necessary for establishing the malignant cell phenotype."}
{"STANDARD_NAME":"NIKOLSKY_BREAST_CANCER_1Q32_AMPLICON","SYSTEMATIC_NAME":"M1207","ORGANISM":"Homo sapiens","PMID":"19010930","AUTHORS":"Nikolsky Y,Sviridov E,Yao J,Dosymbekov D,Ustyansky V,Kaznacheev V,Dezso Z,Mulvey L,Macconaill LE,Winckler W,Serebryiskaya T,Nikolskaya T,Polyak K","EXACT_SOURCE":"Suppl. Excel File 1S: 1q32","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes within amplicon 1q32 identified in a copy number alterations study of 191 breast tumor samples.","DESCRIPTION_FULL":"A single cancer cell contains large numbers of genetic alterations that in combination create the malignant phenotype. However, whether amplified and mutated genes form functional and physical interaction networks that could explain the selection for cells with combined alterations is unknown. To investigate this issue, we characterized copy number alterations in 191 breast tumors using dense single nucleotide polymorphism arrays and identified 1,747 genes with copy number gain organized into 30 amplicons. Amplicons were distributed unequally throughout the genome. Each amplicon had distinct enrichment pattern in pathways, networks, and molecular functions, but genes within individual amplicons did not form coherent functional units. Genes in amplicons included all major tumorigenic pathways and were highly enriched in breast cancer-causative genes. In contrast, 1,188 genes with somatic mutations in breast cancer were distributed randomly over the genome, did not represent a functionally cohesive gene set, and were relatively less enriched in breast cancer marker genes. Mutated and gained genes did not show statistically significant overlap but were highly synergistic in populating key tumorigenic pathways including transforming growth factor beta, WNT, fibroblast growth factor, and PIP3 signaling. In general, mutated genes were more frequently upstream of gained genes in transcription regulation signaling than vice versa, suggesting that mutated genes are mainly regulators, whereas gained genes are mostly regulated. ESR1 was the major transcription factor regulating amplified but not mutated genes. Our results support the hypothesis that multiple genetic events, including copy number gains and somatic mutations, are necessary for establishing the malignant cell phenotype."}
{"STANDARD_NAME":"NIKOLSKY_BREAST_CANCER_5P15_AMPLICON","SYSTEMATIC_NAME":"M13766","ORGANISM":"Homo sapiens","PMID":"19010930","AUTHORS":"Nikolsky Y,Sviridov E,Yao J,Dosymbekov D,Ustyansky V,Kaznacheev V,Dezso Z,Mulvey L,Macconaill LE,Winckler W,Serebryiskaya T,Nikolskaya T,Polyak K","EXACT_SOURCE":"Suppl. Excel File 1S: 5p15","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes within amplicon 5p15 identified in a copy number alterations study of 191 breast tumor samples.","DESCRIPTION_FULL":"A single cancer cell contains large numbers of genetic alterations that in combination create the malignant phenotype. However, whether amplified and mutated genes form functional and physical interaction networks that could explain the selection for cells with combined alterations is unknown. To investigate this issue, we characterized copy number alterations in 191 breast tumors using dense single nucleotide polymorphism arrays and identified 1,747 genes with copy number gain organized into 30 amplicons. Amplicons were distributed unequally throughout the genome. Each amplicon had distinct enrichment pattern in pathways, networks, and molecular functions, but genes within individual amplicons did not form coherent functional units. Genes in amplicons included all major tumorigenic pathways and were highly enriched in breast cancer-causative genes. In contrast, 1,188 genes with somatic mutations in breast cancer were distributed randomly over the genome, did not represent a functionally cohesive gene set, and were relatively less enriched in breast cancer marker genes. Mutated and gained genes did not show statistically significant overlap but were highly synergistic in populating key tumorigenic pathways including transforming growth factor beta, WNT, fibroblast growth factor, and PIP3 signaling. In general, mutated genes were more frequently upstream of gained genes in transcription regulation signaling than vice versa, suggesting that mutated genes are mainly regulators, whereas gained genes are mostly regulated. ESR1 was the major transcription factor regulating amplified but not mutated genes. Our results support the hypothesis that multiple genetic events, including copy number gains and somatic mutations, are necessary for establishing the malignant cell phenotype."}
{"STANDARD_NAME":"NIKOLSKY_BREAST_CANCER_6P24_P22_AMPLICON","SYSTEMATIC_NAME":"M4276","ORGANISM":"Homo sapiens","PMID":"19010930","AUTHORS":"Nikolsky Y,Sviridov E,Yao J,Dosymbekov D,Ustyansky V,Kaznacheev V,Dezso Z,Mulvey L,Macconaill LE,Winckler W,Serebryiskaya T,Nikolskaya T,Polyak K","EXACT_SOURCE":"Suppl. Excel File 1S: 6p24-p22","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes within amplicon 6p24-p22 identified in a copy number alterations study of 191 breast tumor samples.","DESCRIPTION_FULL":"A single cancer cell contains large numbers of genetic alterations that in combination create the malignant phenotype. However, whether amplified and mutated genes form functional and physical interaction networks that could explain the selection for cells with combined alterations is unknown. To investigate this issue, we characterized copy number alterations in 191 breast tumors using dense single nucleotide polymorphism arrays and identified 1,747 genes with copy number gain organized into 30 amplicons. Amplicons were distributed unequally throughout the genome. Each amplicon had distinct enrichment pattern in pathways, networks, and molecular functions, but genes within individual amplicons did not form coherent functional units. Genes in amplicons included all major tumorigenic pathways and were highly enriched in breast cancer-causative genes. In contrast, 1,188 genes with somatic mutations in breast cancer were distributed randomly over the genome, did not represent a functionally cohesive gene set, and were relatively less enriched in breast cancer marker genes. Mutated and gained genes did not show statistically significant overlap but were highly synergistic in populating key tumorigenic pathways including transforming growth factor beta, WNT, fibroblast growth factor, and PIP3 signaling. In general, mutated genes were more frequently upstream of gained genes in transcription regulation signaling than vice versa, suggesting that mutated genes are mainly regulators, whereas gained genes are mostly regulated. ESR1 was the major transcription factor regulating amplified but not mutated genes. Our results support the hypothesis that multiple genetic events, including copy number gains and somatic mutations, are necessary for establishing the malignant cell phenotype."}
{"STANDARD_NAME":"NIKOLSKY_BREAST_CANCER_7P22_AMPLICON","SYSTEMATIC_NAME":"M15884","ORGANISM":"Homo sapiens","PMID":"19010930","AUTHORS":"Nikolsky Y,Sviridov E,Yao J,Dosymbekov D,Ustyansky V,Kaznacheev V,Dezso Z,Mulvey L,Macconaill LE,Winckler W,Serebryiskaya T,Nikolskaya T,Polyak K","EXACT_SOURCE":"Suppl. Excel File 1S: 7p22","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes within amplicon 7p22 identified in a copy number alterations study of 191 breast tumor samples.","DESCRIPTION_FULL":"A single cancer cell contains large numbers of genetic alterations that in combination create the malignant phenotype. However, whether amplified and mutated genes form functional and physical interaction networks that could explain the selection for cells with combined alterations is unknown. To investigate this issue, we characterized copy number alterations in 191 breast tumors using dense single nucleotide polymorphism arrays and identified 1,747 genes with copy number gain organized into 30 amplicons. Amplicons were distributed unequally throughout the genome. Each amplicon had distinct enrichment pattern in pathways, networks, and molecular functions, but genes within individual amplicons did not form coherent functional units. Genes in amplicons included all major tumorigenic pathways and were highly enriched in breast cancer-causative genes. In contrast, 1,188 genes with somatic mutations in breast cancer were distributed randomly over the genome, did not represent a functionally cohesive gene set, and were relatively less enriched in breast cancer marker genes. Mutated and gained genes did not show statistically significant overlap but were highly synergistic in populating key tumorigenic pathways including transforming growth factor beta, WNT, fibroblast growth factor, and PIP3 signaling. In general, mutated genes were more frequently upstream of gained genes in transcription regulation signaling than vice versa, suggesting that mutated genes are mainly regulators, whereas gained genes are mostly regulated. ESR1 was the major transcription factor regulating amplified but not mutated genes. Our results support the hypothesis that multiple genetic events, including copy number gains and somatic mutations, are necessary for establishing the malignant cell phenotype."}
{"STANDARD_NAME":"NIKOLSKY_BREAST_CANCER_7P15_AMPLICON","SYSTEMATIC_NAME":"M18241","ORGANISM":"Homo sapiens","PMID":"19010930","AUTHORS":"Nikolsky Y,Sviridov E,Yao J,Dosymbekov D,Ustyansky V,Kaznacheev V,Dezso Z,Mulvey L,Macconaill LE,Winckler W,Serebryiskaya T,Nikolskaya T,Polyak K","EXACT_SOURCE":"Suppl. Excel File 1S: 7p15","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes within amplicon 7p15 identified in a copy number alterations study of 191 breast tumor samples.","DESCRIPTION_FULL":"A single cancer cell contains large numbers of genetic alterations that in combination create the malignant phenotype. However, whether amplified and mutated genes form functional and physical interaction networks that could explain the selection for cells with combined alterations is unknown. To investigate this issue, we characterized copy number alterations in 191 breast tumors using dense single nucleotide polymorphism arrays and identified 1,747 genes with copy number gain organized into 30 amplicons. Amplicons were distributed unequally throughout the genome. Each amplicon had distinct enrichment pattern in pathways, networks, and molecular functions, but genes within individual amplicons did not form coherent functional units. Genes in amplicons included all major tumorigenic pathways and were highly enriched in breast cancer-causative genes. In contrast, 1,188 genes with somatic mutations in breast cancer were distributed randomly over the genome, did not represent a functionally cohesive gene set, and were relatively less enriched in breast cancer marker genes. Mutated and gained genes did not show statistically significant overlap but were highly synergistic in populating key tumorigenic pathways including transforming growth factor beta, WNT, fibroblast growth factor, and PIP3 signaling. In general, mutated genes were more frequently upstream of gained genes in transcription regulation signaling than vice versa, suggesting that mutated genes are mainly regulators, whereas gained genes are mostly regulated. ESR1 was the major transcription factor regulating amplified but not mutated genes. Our results support the hypothesis that multiple genetic events, including copy number gains and somatic mutations, are necessary for establishing the malignant cell phenotype."}
{"STANDARD_NAME":"NIKOLSKY_BREAST_CANCER_7Q21_Q22_AMPLICON","SYSTEMATIC_NAME":"M5278","ORGANISM":"Homo sapiens","PMID":"19010930","AUTHORS":"Nikolsky Y,Sviridov E,Yao J,Dosymbekov D,Ustyansky V,Kaznacheev V,Dezso Z,Mulvey L,Macconaill LE,Winckler W,Serebryiskaya T,Nikolskaya T,Polyak K","EXACT_SOURCE":"Suppl. Excel File 1S: 7q21-q22","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes within amplicon 7q21-q22 identified in a copy number alterations study of 191 breast tumor samples.","DESCRIPTION_FULL":"A single cancer cell contains large numbers of genetic alterations that in combination create the malignant phenotype. However, whether amplified and mutated genes form functional and physical interaction networks that could explain the selection for cells with combined alterations is unknown. To investigate this issue, we characterized copy number alterations in 191 breast tumors using dense single nucleotide polymorphism arrays and identified 1,747 genes with copy number gain organized into 30 amplicons. Amplicons were distributed unequally throughout the genome. Each amplicon had distinct enrichment pattern in pathways, networks, and molecular functions, but genes within individual amplicons did not form coherent functional units. Genes in amplicons included all major tumorigenic pathways and were highly enriched in breast cancer-causative genes. In contrast, 1,188 genes with somatic mutations in breast cancer were distributed randomly over the genome, did not represent a functionally cohesive gene set, and were relatively less enriched in breast cancer marker genes. Mutated and gained genes did not show statistically significant overlap but were highly synergistic in populating key tumorigenic pathways including transforming growth factor beta, WNT, fibroblast growth factor, and PIP3 signaling. In general, mutated genes were more frequently upstream of gained genes in transcription regulation signaling than vice versa, suggesting that mutated genes are mainly regulators, whereas gained genes are mostly regulated. ESR1 was the major transcription factor regulating amplified but not mutated genes. Our results support the hypothesis that multiple genetic events, including copy number gains and somatic mutations, are necessary for establishing the malignant cell phenotype."}
{"STANDARD_NAME":"NIKOLSKY_BREAST_CANCER_8P12_P11_AMPLICON","SYSTEMATIC_NAME":"M8293","ORGANISM":"Homo sapiens","PMID":"19010930","AUTHORS":"Nikolsky Y,Sviridov E,Yao J,Dosymbekov D,Ustyansky V,Kaznacheev V,Dezso Z,Mulvey L,Macconaill LE,Winckler W,Serebryiskaya T,Nikolskaya T,Polyak K","EXACT_SOURCE":"Suppl. Excel File 1S: 8p12-p11","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes within amplicon 8p12-p11 identified in a copy number alterations study of 191 breast tumor samples.","DESCRIPTION_FULL":"A single cancer cell contains large numbers of genetic alterations that in combination create the malignant phenotype. However, whether amplified and mutated genes form functional and physical interaction networks that could explain the selection for cells with combined alterations is unknown. To investigate this issue, we characterized copy number alterations in 191 breast tumors using dense single nucleotide polymorphism arrays and identified 1,747 genes with copy number gain organized into 30 amplicons. Amplicons were distributed unequally throughout the genome. Each amplicon had distinct enrichment pattern in pathways, networks, and molecular functions, but genes within individual amplicons did not form coherent functional units. Genes in amplicons included all major tumorigenic pathways and were highly enriched in breast cancer-causative genes. In contrast, 1,188 genes with somatic mutations in breast cancer were distributed randomly over the genome, did not represent a functionally cohesive gene set, and were relatively less enriched in breast cancer marker genes. Mutated and gained genes did not show statistically significant overlap but were highly synergistic in populating key tumorigenic pathways including transforming growth factor beta, WNT, fibroblast growth factor, and PIP3 signaling. In general, mutated genes were more frequently upstream of gained genes in transcription regulation signaling than vice versa, suggesting that mutated genes are mainly regulators, whereas gained genes are mostly regulated. ESR1 was the major transcription factor regulating amplified but not mutated genes. Our results support the hypothesis that multiple genetic events, including copy number gains and somatic mutations, are necessary for establishing the malignant cell phenotype."}
{"STANDARD_NAME":"NIKOLSKY_BREAST_CANCER_8Q12_Q22_AMPLICON","SYSTEMATIC_NAME":"M13954","ORGANISM":"Homo sapiens","PMID":"19010930","AUTHORS":"Nikolsky Y,Sviridov E,Yao J,Dosymbekov D,Ustyansky V,Kaznacheev V,Dezso Z,Mulvey L,Macconaill LE,Winckler W,Serebryiskaya T,Nikolskaya T,Polyak K","EXACT_SOURCE":"Suppl. Excel File 1S: 8q12-q22","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes within amplicon 8q12-q22 identified in a copy number alterations study of 191 breast tumor samples.","DESCRIPTION_FULL":"A single cancer cell contains large numbers of genetic alterations that in combination create the malignant phenotype. However, whether amplified and mutated genes form functional and physical interaction networks that could explain the selection for cells with combined alterations is unknown. To investigate this issue, we characterized copy number alterations in 191 breast tumors using dense single nucleotide polymorphism arrays and identified 1,747 genes with copy number gain organized into 30 amplicons. Amplicons were distributed unequally throughout the genome. Each amplicon had distinct enrichment pattern in pathways, networks, and molecular functions, but genes within individual amplicons did not form coherent functional units. Genes in amplicons included all major tumorigenic pathways and were highly enriched in breast cancer-causative genes. In contrast, 1,188 genes with somatic mutations in breast cancer were distributed randomly over the genome, did not represent a functionally cohesive gene set, and were relatively less enriched in breast cancer marker genes. Mutated and gained genes did not show statistically significant overlap but were highly synergistic in populating key tumorigenic pathways including transforming growth factor beta, WNT, fibroblast growth factor, and PIP3 signaling. In general, mutated genes were more frequently upstream of gained genes in transcription regulation signaling than vice versa, suggesting that mutated genes are mainly regulators, whereas gained genes are mostly regulated. ESR1 was the major transcription factor regulating amplified but not mutated genes. Our results support the hypothesis that multiple genetic events, including copy number gains and somatic mutations, are necessary for establishing the malignant cell phenotype."}
{"STANDARD_NAME":"NIKOLSKY_BREAST_CANCER_8Q23_Q24_AMPLICON","SYSTEMATIC_NAME":"M17936","ORGANISM":"Homo sapiens","PMID":"19010930","AUTHORS":"Nikolsky Y,Sviridov E,Yao J,Dosymbekov D,Ustyansky V,Kaznacheev V,Dezso Z,Mulvey L,Macconaill LE,Winckler W,Serebryiskaya T,Nikolskaya T,Polyak K","EXACT_SOURCE":"Suppl. Excel File 1S: 8q23-q24","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes within amplicon 8q23-q24 identified in a copy number alterations study of 191 breast tumor samples.","DESCRIPTION_FULL":"A single cancer cell contains large numbers of genetic alterations that in combination create the malignant phenotype. However, whether amplified and mutated genes form functional and physical interaction networks that could explain the selection for cells with combined alterations is unknown. To investigate this issue, we characterized copy number alterations in 191 breast tumors using dense single nucleotide polymorphism arrays and identified 1,747 genes with copy number gain organized into 30 amplicons. Amplicons were distributed unequally throughout the genome. Each amplicon had distinct enrichment pattern in pathways, networks, and molecular functions, but genes within individual amplicons did not form coherent functional units. Genes in amplicons included all major tumorigenic pathways and were highly enriched in breast cancer-causative genes. In contrast, 1,188 genes with somatic mutations in breast cancer were distributed randomly over the genome, did not represent a functionally cohesive gene set, and were relatively less enriched in breast cancer marker genes. Mutated and gained genes did not show statistically significant overlap but were highly synergistic in populating key tumorigenic pathways including transforming growth factor beta, WNT, fibroblast growth factor, and PIP3 signaling. In general, mutated genes were more frequently upstream of gained genes in transcription regulation signaling than vice versa, suggesting that mutated genes are mainly regulators, whereas gained genes are mostly regulated. ESR1 was the major transcription factor regulating amplified but not mutated genes. Our results support the hypothesis that multiple genetic events, including copy number gains and somatic mutations, are necessary for establishing the malignant cell phenotype."}
{"STANDARD_NAME":"NIKOLSKY_BREAST_CANCER_10Q22_AMPLICON","SYSTEMATIC_NAME":"M4042","ORGANISM":"Homo sapiens","PMID":"19010930","AUTHORS":"Nikolsky Y,Sviridov E,Yao J,Dosymbekov D,Ustyansky V,Kaznacheev V,Dezso Z,Mulvey L,Macconaill LE,Winckler W,Serebryiskaya T,Nikolskaya T,Polyak K","EXACT_SOURCE":"Suppl. Excel File 1S: 10q22","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes within amplicon 10q22 identified in a copy number alterations study of 191 breast tumor samples.","DESCRIPTION_FULL":"A single cancer cell contains large numbers of genetic alterations that in combination create the malignant phenotype. However, whether amplified and mutated genes form functional and physical interaction networks that could explain the selection for cells with combined alterations is unknown. To investigate this issue, we characterized copy number alterations in 191 breast tumors using dense single nucleotide polymorphism arrays and identified 1,747 genes with copy number gain organized into 30 amplicons. Amplicons were distributed unequally throughout the genome. Each amplicon had distinct enrichment pattern in pathways, networks, and molecular functions, but genes within individual amplicons did not form coherent functional units. Genes in amplicons included all major tumorigenic pathways and were highly enriched in breast cancer-causative genes. In contrast, 1,188 genes with somatic mutations in breast cancer were distributed randomly over the genome, did not represent a functionally cohesive gene set, and were relatively less enriched in breast cancer marker genes. Mutated and gained genes did not show statistically significant overlap but were highly synergistic in populating key tumorigenic pathways including transforming growth factor beta, WNT, fibroblast growth factor, and PIP3 signaling. In general, mutated genes were more frequently upstream of gained genes in transcription regulation signaling than vice versa, suggesting that mutated genes are mainly regulators, whereas gained genes are mostly regulated. ESR1 was the major transcription factor regulating amplified but not mutated genes. Our results support the hypothesis that multiple genetic events, including copy number gains and somatic mutations, are necessary for establishing the malignant cell phenotype."}
{"STANDARD_NAME":"NIKOLSKY_BREAST_CANCER_11Q12_Q14_AMPLICON","SYSTEMATIC_NAME":"M1493","ORGANISM":"Homo sapiens","PMID":"19010930","AUTHORS":"Nikolsky Y,Sviridov E,Yao J,Dosymbekov D,Ustyansky V,Kaznacheev V,Dezso Z,Mulvey L,Macconaill LE,Winckler W,Serebryiskaya T,Nikolskaya T,Polyak K","EXACT_SOURCE":"Suppl. Excel File 1S: 11q12-q14","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes within amplicon 11q12-q14 identified in a copy number alterations study of 191 breast tumor samples.","DESCRIPTION_FULL":"A single cancer cell contains large numbers of genetic alterations that in combination create the malignant phenotype. However, whether amplified and mutated genes form functional and physical interaction networks that could explain the selection for cells with combined alterations is unknown. To investigate this issue, we characterized copy number alterations in 191 breast tumors using dense single nucleotide polymorphism arrays and identified 1,747 genes with copy number gain organized into 30 amplicons. Amplicons were distributed unequally throughout the genome. Each amplicon had distinct enrichment pattern in pathways, networks, and molecular functions, but genes within individual amplicons did not form coherent functional units. Genes in amplicons included all major tumorigenic pathways and were highly enriched in breast cancer-causative genes. In contrast, 1,188 genes with somatic mutations in breast cancer were distributed randomly over the genome, did not represent a functionally cohesive gene set, and were relatively less enriched in breast cancer marker genes. Mutated and gained genes did not show statistically significant overlap but were highly synergistic in populating key tumorigenic pathways including transforming growth factor beta, WNT, fibroblast growth factor, and PIP3 signaling. In general, mutated genes were more frequently upstream of gained genes in transcription regulation signaling than vice versa, suggesting that mutated genes are mainly regulators, whereas gained genes are mostly regulated. ESR1 was the major transcription factor regulating amplified but not mutated genes. Our results support the hypothesis that multiple genetic events, including copy number gains and somatic mutations, are necessary for establishing the malignant cell phenotype."}
{"STANDARD_NAME":"NIKOLSKY_BREAST_CANCER_12Q13_Q21_AMPLICON","SYSTEMATIC_NAME":"M13709","ORGANISM":"Homo sapiens","PMID":"19010930","AUTHORS":"Nikolsky Y,Sviridov E,Yao J,Dosymbekov D,Ustyansky V,Kaznacheev V,Dezso Z,Mulvey L,Macconaill LE,Winckler W,Serebryiskaya T,Nikolskaya T,Polyak K","EXACT_SOURCE":"Suppl. Excel File 1S: 12q13-q21","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes within amplicon 12q13-q21 identified in a copy number alterations study of 191 breast tumor samples.","DESCRIPTION_FULL":"A single cancer cell contains large numbers of genetic alterations that in combination create the malignant phenotype. However, whether amplified and mutated genes form functional and physical interaction networks that could explain the selection for cells with combined alterations is unknown. To investigate this issue, we characterized copy number alterations in 191 breast tumors using dense single nucleotide polymorphism arrays and identified 1,747 genes with copy number gain organized into 30 amplicons. Amplicons were distributed unequally throughout the genome. Each amplicon had distinct enrichment pattern in pathways, networks, and molecular functions, but genes within individual amplicons did not form coherent functional units. Genes in amplicons included all major tumorigenic pathways and were highly enriched in breast cancer-causative genes. In contrast, 1,188 genes with somatic mutations in breast cancer were distributed randomly over the genome, did not represent a functionally cohesive gene set, and were relatively less enriched in breast cancer marker genes. Mutated and gained genes did not show statistically significant overlap but were highly synergistic in populating key tumorigenic pathways including transforming growth factor beta, WNT, fibroblast growth factor, and PIP3 signaling. In general, mutated genes were more frequently upstream of gained genes in transcription regulation signaling than vice versa, suggesting that mutated genes are mainly regulators, whereas gained genes are mostly regulated. ESR1 was the major transcription factor regulating amplified but not mutated genes. Our results support the hypothesis that multiple genetic events, including copy number gains and somatic mutations, are necessary for establishing the malignant cell phenotype."}
{"STANDARD_NAME":"NIKOLSKY_BREAST_CANCER_12Q24_AMPLICON","SYSTEMATIC_NAME":"M8432","ORGANISM":"Homo sapiens","PMID":"19010930","AUTHORS":"Nikolsky Y,Sviridov E,Yao J,Dosymbekov D,Ustyansky V,Kaznacheev V,Dezso Z,Mulvey L,Macconaill LE,Winckler W,Serebryiskaya T,Nikolskaya T,Polyak K","EXACT_SOURCE":"Suppl. Excel File 1S: 12q24","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes within amplicon 12q24 identified in a copy number alterations study of 191 breast tumor samples.","DESCRIPTION_FULL":"A single cancer cell contains large numbers of genetic alterations that in combination create the malignant phenotype. However, whether amplified and mutated genes form functional and physical interaction networks that could explain the selection for cells with combined alterations is unknown. To investigate this issue, we characterized copy number alterations in 191 breast tumors using dense single nucleotide polymorphism arrays and identified 1,747 genes with copy number gain organized into 30 amplicons. Amplicons were distributed unequally throughout the genome. Each amplicon had distinct enrichment pattern in pathways, networks, and molecular functions, but genes within individual amplicons did not form coherent functional units. Genes in amplicons included all major tumorigenic pathways and were highly enriched in breast cancer-causative genes. In contrast, 1,188 genes with somatic mutations in breast cancer were distributed randomly over the genome, did not represent a functionally cohesive gene set, and were relatively less enriched in breast cancer marker genes. Mutated and gained genes did not show statistically significant overlap but were highly synergistic in populating key tumorigenic pathways including transforming growth factor beta, WNT, fibroblast growth factor, and PIP3 signaling. In general, mutated genes were more frequently upstream of gained genes in transcription regulation signaling than vice versa, suggesting that mutated genes are mainly regulators, whereas gained genes are mostly regulated. ESR1 was the major transcription factor regulating amplified but not mutated genes. Our results support the hypothesis that multiple genetic events, including copy number gains and somatic mutations, are necessary for establishing the malignant cell phenotype."}
{"STANDARD_NAME":"NIKOLSKY_BREAST_CANCER_14Q22_AMPLICON","SYSTEMATIC_NAME":"M17961","ORGANISM":"Homo sapiens","PMID":"19010930","AUTHORS":"Nikolsky Y,Sviridov E,Yao J,Dosymbekov D,Ustyansky V,Kaznacheev V,Dezso Z,Mulvey L,Macconaill LE,Winckler W,Serebryiskaya T,Nikolskaya T,Polyak K","EXACT_SOURCE":"Suppl. Excel File 1S: 14q22","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes within amplicon 14q22 identified in a copy number alterations study of 191 breast tumor samples.","DESCRIPTION_FULL":"A single cancer cell contains large numbers of genetic alterations that in combination create the malignant phenotype. However, whether amplified and mutated genes form functional and physical interaction networks that could explain the selection for cells with combined alterations is unknown. To investigate this issue, we characterized copy number alterations in 191 breast tumors using dense single nucleotide polymorphism arrays and identified 1,747 genes with copy number gain organized into 30 amplicons. Amplicons were distributed unequally throughout the genome. Each amplicon had distinct enrichment pattern in pathways, networks, and molecular functions, but genes within individual amplicons did not form coherent functional units. Genes in amplicons included all major tumorigenic pathways and were highly enriched in breast cancer-causative genes. In contrast, 1,188 genes with somatic mutations in breast cancer were distributed randomly over the genome, did not represent a functionally cohesive gene set, and were relatively less enriched in breast cancer marker genes. Mutated and gained genes did not show statistically significant overlap but were highly synergistic in populating key tumorigenic pathways including transforming growth factor beta, WNT, fibroblast growth factor, and PIP3 signaling. In general, mutated genes were more frequently upstream of gained genes in transcription regulation signaling than vice versa, suggesting that mutated genes are mainly regulators, whereas gained genes are mostly regulated. ESR1 was the major transcription factor regulating amplified but not mutated genes. Our results support the hypothesis that multiple genetic events, including copy number gains and somatic mutations, are necessary for establishing the malignant cell phenotype."}
{"STANDARD_NAME":"NIKOLSKY_BREAST_CANCER_15Q26_AMPLICON","SYSTEMATIC_NAME":"M1352","ORGANISM":"Homo sapiens","PMID":"19010930","AUTHORS":"Nikolsky Y,Sviridov E,Yao J,Dosymbekov D,Ustyansky V,Kaznacheev V,Dezso Z,Mulvey L,Macconaill LE,Winckler W,Serebryiskaya T,Nikolskaya T,Polyak K","EXACT_SOURCE":"Suppl. Excel File 1S: 15q26","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes within amplicon 15q26 identified in a copy number alterations study of 191 breast tumor samples.","DESCRIPTION_FULL":"A single cancer cell contains large numbers of genetic alterations that in combination create the malignant phenotype. However, whether amplified and mutated genes form functional and physical interaction networks that could explain the selection for cells with combined alterations is unknown. To investigate this issue, we characterized copy number alterations in 191 breast tumors using dense single nucleotide polymorphism arrays and identified 1,747 genes with copy number gain organized into 30 amplicons. Amplicons were distributed unequally throughout the genome. Each amplicon had distinct enrichment pattern in pathways, networks, and molecular functions, but genes within individual amplicons did not form coherent functional units. Genes in amplicons included all major tumorigenic pathways and were highly enriched in breast cancer-causative genes. In contrast, 1,188 genes with somatic mutations in breast cancer were distributed randomly over the genome, did not represent a functionally cohesive gene set, and were relatively less enriched in breast cancer marker genes. Mutated and gained genes did not show statistically significant overlap but were highly synergistic in populating key tumorigenic pathways including transforming growth factor beta, WNT, fibroblast growth factor, and PIP3 signaling. In general, mutated genes were more frequently upstream of gained genes in transcription regulation signaling than vice versa, suggesting that mutated genes are mainly regulators, whereas gained genes are mostly regulated. ESR1 was the major transcription factor regulating amplified but not mutated genes. Our results support the hypothesis that multiple genetic events, including copy number gains and somatic mutations, are necessary for establishing the malignant cell phenotype."}
{"STANDARD_NAME":"NIKOLSKY_BREAST_CANCER_16P13_AMPLICON","SYSTEMATIC_NAME":"M1788","ORGANISM":"Homo sapiens","PMID":"19010930","AUTHORS":"Nikolsky Y,Sviridov E,Yao J,Dosymbekov D,Ustyansky V,Kaznacheev V,Dezso Z,Mulvey L,Macconaill LE,Winckler W,Serebryiskaya T,Nikolskaya T,Polyak K","EXACT_SOURCE":"Suppl. Excel File 1S: 16p13","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes within amplicon 16p13 identified in a study of 191 breast tumor samples.","DESCRIPTION_FULL":"A single cancer cell contains large numbers of genetic alterations that in combination create the malignant phenotype. However, whether amplified and mutated genes form functional and physical interaction networks that could explain the selection for cells with combined alterations is unknown. To investigate this issue, we characterized copy number alterations in 191 breast tumors using dense single nucleotide polymorphism arrays and identified 1,747 genes with copy number gain organized into 30 amplicons. Amplicons were distributed unequally throughout the genome. Each amplicon had distinct enrichment pattern in pathways, networks, and molecular functions, but genes within individual amplicons did not form coherent functional units. Genes in amplicons included all major tumorigenic pathways and were highly enriched in breast cancer-causative genes. In contrast, 1,188 genes with somatic mutations in breast cancer were distributed randomly over the genome, did not represent a functionally cohesive gene set, and were relatively less enriched in breast cancer marker genes. Mutated and gained genes did not show statistically significant overlap but were highly synergistic in populating key tumorigenic pathways including transforming growth factor beta, WNT, fibroblast growth factor, and PIP3 signaling. In general, mutated genes were more frequently upstream of gained genes in transcription regulation signaling than vice versa, suggesting that mutated genes are mainly regulators, whereas gained genes are mostly regulated. ESR1 was the major transcription factor regulating amplified but not mutated genes. Our results support the hypothesis that multiple genetic events, including copy number gains and somatic mutations, are necessary for establishing the malignant cell phenotype."}
{"STANDARD_NAME":"NIKOLSKY_BREAST_CANCER_16Q24_AMPLICON","SYSTEMATIC_NAME":"M12307","ORGANISM":"Homo sapiens","PMID":"19010930","AUTHORS":"Nikolsky Y,Sviridov E,Yao J,Dosymbekov D,Ustyansky V,Kaznacheev V,Dezso Z,Mulvey L,Macconaill LE,Winckler W,Serebryiskaya T,Nikolskaya T,Polyak K","EXACT_SOURCE":"Suppl. Excel File 1S: 16q24","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes within amplicon 16q24 identified in a copy number alterations study of 191 breast tumor samples.","DESCRIPTION_FULL":"A single cancer cell contains large numbers of genetic alterations that in combination create the malignant phenotype. However, whether amplified and mutated genes form functional and physical interaction networks that could explain the selection for cells with combined alterations is unknown. To investigate this issue, we characterized copy number alterations in 191 breast tumors using dense single nucleotide polymorphism arrays and identified 1,747 genes with copy number gain organized into 30 amplicons. Amplicons were distributed unequally throughout the genome. Each amplicon had distinct enrichment pattern in pathways, networks, and molecular functions, but genes within individual amplicons did not form coherent functional units. Genes in amplicons included all major tumorigenic pathways and were highly enriched in breast cancer-causative genes. In contrast, 1,188 genes with somatic mutations in breast cancer were distributed randomly over the genome, did not represent a functionally cohesive gene set, and were relatively less enriched in breast cancer marker genes. Mutated and gained genes did not show statistically significant overlap but were highly synergistic in populating key tumorigenic pathways including transforming growth factor beta, WNT, fibroblast growth factor, and PIP3 signaling. In general, mutated genes were more frequently upstream of gained genes in transcription regulation signaling than vice versa, suggesting that mutated genes are mainly regulators, whereas gained genes are mostly regulated. ESR1 was the major transcription factor regulating amplified but not mutated genes. Our results support the hypothesis that multiple genetic events, including copy number gains and somatic mutations, are necessary for establishing the malignant cell phenotype."}
{"STANDARD_NAME":"NIKOLSKY_BREAST_CANCER_17P11_AMPLICON","SYSTEMATIC_NAME":"M2253","ORGANISM":"Homo sapiens","PMID":"19010930","AUTHORS":"Nikolsky Y,Sviridov E,Yao J,Dosymbekov D,Ustyansky V,Kaznacheev V,Dezso Z,Mulvey L,Macconaill LE,Winckler W,Serebryiskaya T,Nikolskaya T,Polyak K","EXACT_SOURCE":"Suppl. Excel File 1S: 17p11","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes within amplicon 17p11 identified in a copy number alterations study of 191 breast tumor samples.","DESCRIPTION_FULL":"A single cancer cell contains large numbers of genetic alterations that in combination create the malignant phenotype. However, whether amplified and mutated genes form functional and physical interaction networks that could explain the selection for cells with combined alterations is unknown. To investigate this issue, we characterized copy number alterations in 191 breast tumors using dense single nucleotide polymorphism arrays and identified 1,747 genes with copy number gain organized into 30 amplicons. Amplicons were distributed unequally throughout the genome. Each amplicon had distinct enrichment pattern in pathways, networks, and molecular functions, but genes within individual amplicons did not form coherent functional units. Genes in amplicons included all major tumorigenic pathways and were highly enriched in breast cancer-causative genes. In contrast, 1,188 genes with somatic mutations in breast cancer were distributed randomly over the genome, did not represent a functionally cohesive gene set, and were relatively less enriched in breast cancer marker genes. Mutated and gained genes did not show statistically significant overlap but were highly synergistic in populating key tumorigenic pathways including transforming growth factor beta, WNT, fibroblast growth factor, and PIP3 signaling. In general, mutated genes were more frequently upstream of gained genes in transcription regulation signaling than vice versa, suggesting that mutated genes are mainly regulators, whereas gained genes are mostly regulated. ESR1 was the major transcription factor regulating amplified but not mutated genes. Our results support the hypothesis that multiple genetic events, including copy number gains and somatic mutations, are necessary for establishing the malignant cell phenotype."}
{"STANDARD_NAME":"NIKOLSKY_BREAST_CANCER_17Q11_Q21_AMPLICON","SYSTEMATIC_NAME":"M3434","ORGANISM":"Homo sapiens","PMID":"19010930","AUTHORS":"Nikolsky Y,Sviridov E,Yao J,Dosymbekov D,Ustyansky V,Kaznacheev V,Dezso Z,Mulvey L,Macconaill LE,Winckler W,Serebryiskaya T,Nikolskaya T,Polyak K","EXACT_SOURCE":"Suppl. Excel File 1S: 17q11-q21","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes within amplicon 17q11-q21 identified in a copy number alterations study of 191 breast tumor samples.","DESCRIPTION_FULL":"A single cancer cell contains large numbers of genetic alterations that in combination create the malignant phenotype. However, whether amplified and mutated genes form functional and physical interaction networks that could explain the selection for cells with combined alterations is unknown. To investigate this issue, we characterized copy number alterations in 191 breast tumors using dense single nucleotide polymorphism arrays and identified 1,747 genes with copy number gain organized into 30 amplicons. Amplicons were distributed unequally throughout the genome. Each amplicon had distinct enrichment pattern in pathways, networks, and molecular functions, but genes within individual amplicons did not form coherent functional units. Genes in amplicons included all major tumorigenic pathways and were highly enriched in breast cancer-causative genes. In contrast, 1,188 genes with somatic mutations in breast cancer were distributed randomly over the genome, did not represent a functionally cohesive gene set, and were relatively less enriched in breast cancer marker genes. Mutated and gained genes did not show statistically significant overlap but were highly synergistic in populating key tumorigenic pathways including transforming growth factor beta, WNT, fibroblast growth factor, and PIP3 signaling. In general, mutated genes were more frequently upstream of gained genes in transcription regulation signaling than vice versa, suggesting that mutated genes are mainly regulators, whereas gained genes are mostly regulated. ESR1 was the major transcription factor regulating amplified but not mutated genes. Our results support the hypothesis that multiple genetic events, including copy number gains and somatic mutations, are necessary for establishing the malignant cell phenotype."}
{"STANDARD_NAME":"NIKOLSKY_BREAST_CANCER_17Q21_Q25_AMPLICON","SYSTEMATIC_NAME":"M15936","ORGANISM":"Homo sapiens","PMID":"19010930","AUTHORS":"Nikolsky Y,Sviridov E,Yao J,Dosymbekov D,Ustyansky V,Kaznacheev V,Dezso Z,Mulvey L,Macconaill LE,Winckler W,Serebryiskaya T,Nikolskaya T,Polyak K","EXACT_SOURCE":"Suppl. Excel File 1S: 17q21-q25","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes within amplicon 17q21-q25 identified in a copy number alterations study of 191 breast tumor samples.","DESCRIPTION_FULL":"A single cancer cell contains large numbers of genetic alterations that in combination create the malignant phenotype. However, whether amplified and mutated genes form functional and physical interaction networks that could explain the selection for cells with combined alterations is unknown. To investigate this issue, we characterized copy number alterations in 191 breast tumors using dense single nucleotide polymorphism arrays and identified 1,747 genes with copy number gain organized into 30 amplicons. Amplicons were distributed unequally throughout the genome. Each amplicon had distinct enrichment pattern in pathways, networks, and molecular functions, but genes within individual amplicons did not form coherent functional units. Genes in amplicons included all major tumorigenic pathways and were highly enriched in breast cancer-causative genes. In contrast, 1,188 genes with somatic mutations in breast cancer were distributed randomly over the genome, did not represent a functionally cohesive gene set, and were relatively less enriched in breast cancer marker genes. Mutated and gained genes did not show statistically significant overlap but were highly synergistic in populating key tumorigenic pathways including transforming growth factor beta, WNT, fibroblast growth factor, and PIP3 signaling. In general, mutated genes were more frequently upstream of gained genes in transcription regulation signaling than vice versa, suggesting that mutated genes are mainly regulators, whereas gained genes are mostly regulated. ESR1 was the major transcription factor regulating amplified but not mutated genes. Our results support the hypothesis that multiple genetic events, including copy number gains and somatic mutations, are necessary for establishing the malignant cell phenotype."}
{"STANDARD_NAME":"NIKOLSKY_BREAST_CANCER_19Q13.1_AMPLICON","SYSTEMATIC_NAME":"M8692","ORGANISM":"Homo sapiens","PMID":"19010930","AUTHORS":"Nikolsky Y,Sviridov E,Yao J,Dosymbekov D,Ustyansky V,Kaznacheev V,Dezso Z,Mulvey L,Macconaill LE,Winckler W,Serebryiskaya T,Nikolskaya T,Polyak K","EXACT_SOURCE":"Suppl. Excel File 1S: 19q13.1","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes within amplicon 19q13.1 identified in a copy number alterations study of 191 breast tumor samples.","DESCRIPTION_FULL":"A single cancer cell contains large numbers of genetic alterations that in combination create the malignant phenotype. However, whether amplified and mutated genes form functional and physical interaction networks that could explain the selection for cells with combined alterations is unknown. To investigate this issue, we characterized copy number alterations in 191 breast tumors using dense single nucleotide polymorphism arrays and identified 1,747 genes with copy number gain organized into 30 amplicons. Amplicons were distributed unequally throughout the genome. Each amplicon had distinct enrichment pattern in pathways, networks, and molecular functions, but genes within individual amplicons did not form coherent functional units. Genes in amplicons included all major tumorigenic pathways and were highly enriched in breast cancer-causative genes. In contrast, 1,188 genes with somatic mutations in breast cancer were distributed randomly over the genome, did not represent a functionally cohesive gene set, and were relatively less enriched in breast cancer marker genes. Mutated and gained genes did not show statistically significant overlap but were highly synergistic in populating key tumorigenic pathways including transforming growth factor beta, WNT, fibroblast growth factor, and PIP3 signaling. In general, mutated genes were more frequently upstream of gained genes in transcription regulation signaling than vice versa, suggesting that mutated genes are mainly regulators, whereas gained genes are mostly regulated. ESR1 was the major transcription factor regulating amplified but not mutated genes. Our results support the hypothesis that multiple genetic events, including copy number gains and somatic mutations, are necessary for establishing the malignant cell phenotype."}
{"STANDARD_NAME":"NIKOLSKY_BREAST_CANCER_19Q13.4_AMPLICON","SYSTEMATIC_NAME":"M4709","ORGANISM":"Homo sapiens","PMID":"19010930","AUTHORS":"Nikolsky Y,Sviridov E,Yao J,Dosymbekov D,Ustyansky V,Kaznacheev V,Dezso Z,Mulvey L,Macconaill LE,Winckler W,Serebryiskaya T,Nikolskaya T,Polyak K","EXACT_SOURCE":"Suppl. Excel File 1S: 19q13.4","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes within amplicon 19q13.4 identified in a copy number alterations study of 191 breast tumor samples.","DESCRIPTION_FULL":"A single cancer cell contains large numbers of genetic alterations that in combination create the malignant phenotype. However, whether amplified and mutated genes form functional and physical interaction networks that could explain the selection for cells with combined alterations is unknown. To investigate this issue, we characterized copy number alterations in 191 breast tumors using dense single nucleotide polymorphism arrays and identified 1,747 genes with copy number gain organized into 30 amplicons. Amplicons were distributed unequally throughout the genome. Each amplicon had distinct enrichment pattern in pathways, networks, and molecular functions, but genes within individual amplicons did not form coherent functional units. Genes in amplicons included all major tumorigenic pathways and were highly enriched in breast cancer-causative genes. In contrast, 1,188 genes with somatic mutations in breast cancer were distributed randomly over the genome, did not represent a functionally cohesive gene set, and were relatively less enriched in breast cancer marker genes. Mutated and gained genes did not show statistically significant overlap but were highly synergistic in populating key tumorigenic pathways including transforming growth factor beta, WNT, fibroblast growth factor, and PIP3 signaling. In general, mutated genes were more frequently upstream of gained genes in transcription regulation signaling than vice versa, suggesting that mutated genes are mainly regulators, whereas gained genes are mostly regulated. ESR1 was the major transcription factor regulating amplified but not mutated genes. Our results support the hypothesis that multiple genetic events, including copy number gains and somatic mutations, are necessary for establishing the malignant cell phenotype."}
{"STANDARD_NAME":"NIKOLSKY_BREAST_CANCER_20P13_AMPLICON","SYSTEMATIC_NAME":"M6821","ORGANISM":"Homo sapiens","PMID":"19010930","AUTHORS":"Nikolsky Y,Sviridov E,Yao J,Dosymbekov D,Ustyansky V,Kaznacheev V,Dezso Z,Mulvey L,Macconaill LE,Winckler W,Serebryiskaya T,Nikolskaya T,Polyak K","EXACT_SOURCE":"Suppl. Excel File 1S: 20p13","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes within amplicon 20p13 identified in a copy number alterations study of 191 breast tumor samples.","DESCRIPTION_FULL":"A single cancer cell contains large numbers of genetic alterations that in combination create the malignant phenotype. However, whether amplified and mutated genes form functional and physical interaction networks that could explain the selection for cells with combined alterations is unknown. To investigate this issue, we characterized copy number alterations in 191 breast tumors using dense single nucleotide polymorphism arrays and identified 1,747 genes with copy number gain organized into 30 amplicons. Amplicons were distributed unequally throughout the genome. Each amplicon had distinct enrichment pattern in pathways, networks, and molecular functions, but genes within individual amplicons did not form coherent functional units. Genes in amplicons included all major tumorigenic pathways and were highly enriched in breast cancer-causative genes. In contrast, 1,188 genes with somatic mutations in breast cancer were distributed randomly over the genome, did not represent a functionally cohesive gene set, and were relatively less enriched in breast cancer marker genes. Mutated and gained genes did not show statistically significant overlap but were highly synergistic in populating key tumorigenic pathways including transforming growth factor beta, WNT, fibroblast growth factor, and PIP3 signaling. In general, mutated genes were more frequently upstream of gained genes in transcription regulation signaling than vice versa, suggesting that mutated genes are mainly regulators, whereas gained genes are mostly regulated. ESR1 was the major transcription factor regulating amplified but not mutated genes. Our results support the hypothesis that multiple genetic events, including copy number gains and somatic mutations, are necessary for establishing the malignant cell phenotype."}
{"STANDARD_NAME":"NIKOLSKY_BREAST_CANCER_20Q11_AMPLICON","SYSTEMATIC_NAME":"M10837","ORGANISM":"Homo sapiens","PMID":"19010930","AUTHORS":"Nikolsky Y,Sviridov E,Yao J,Dosymbekov D,Ustyansky V,Kaznacheev V,Dezso Z,Mulvey L,Macconaill LE,Winckler W,Serebryiskaya T,Nikolskaya T,Polyak K","EXACT_SOURCE":"Suppl. Excel File 1S: 20q11","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes within amplicon 20q11 identified in a copy number alterations study of 191 breast tumor samples.","DESCRIPTION_FULL":"A single cancer cell contains large numbers of genetic alterations that in combination create the malignant phenotype. However, whether amplified and mutated genes form functional and physical interaction networks that could explain the selection for cells with combined alterations is unknown. To investigate this issue, we characterized copy number alterations in 191 breast tumors using dense single nucleotide polymorphism arrays and identified 1,747 genes with copy number gain organized into 30 amplicons. Amplicons were distributed unequally throughout the genome. Each amplicon had distinct enrichment pattern in pathways, networks, and molecular functions, but genes within individual amplicons did not form coherent functional units. Genes in amplicons included all major tumorigenic pathways and were highly enriched in breast cancer-causative genes. In contrast, 1,188 genes with somatic mutations in breast cancer were distributed randomly over the genome, did not represent a functionally cohesive gene set, and were relatively less enriched in breast cancer marker genes. Mutated and gained genes did not show statistically significant overlap but were highly synergistic in populating key tumorigenic pathways including transforming growth factor beta, WNT, fibroblast growth factor, and PIP3 signaling. In general, mutated genes were more frequently upstream of gained genes in transcription regulation signaling than vice versa, suggesting that mutated genes are mainly regulators, whereas gained genes are mostly regulated. ESR1 was the major transcription factor regulating amplified but not mutated genes. Our results support the hypothesis that multiple genetic events, including copy number gains and somatic mutations, are necessary for establishing the malignant cell phenotype."}
{"STANDARD_NAME":"NIKOLSKY_BREAST_CANCER_20Q12_Q13_AMPLICON","SYSTEMATIC_NAME":"M18973","ORGANISM":"Homo sapiens","PMID":"19010930","AUTHORS":"Nikolsky Y,Sviridov E,Yao J,Dosymbekov D,Ustyansky V,Kaznacheev V,Dezso Z,Mulvey L,Macconaill LE,Winckler W,Serebryiskaya T,Nikolskaya T,Polyak K","EXACT_SOURCE":"Suppl. Excel File 1S: 20q12-q13","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes within amplicon 20q12-q13 identified in a copy number alterations study of 191 breast tumor samples.","DESCRIPTION_FULL":"A single cancer cell contains large numbers of genetic alterations that in combination create the malignant phenotype. However, whether amplified and mutated genes form functional and physical interaction networks that could explain the selection for cells with combined alterations is unknown. To investigate this issue, we characterized copy number alterations in 191 breast tumors using dense single nucleotide polymorphism arrays and identified 1,747 genes with copy number gain organized into 30 amplicons. Amplicons were distributed unequally throughout the genome. Each amplicon had distinct enrichment pattern in pathways, networks, and molecular functions, but genes within individual amplicons did not form coherent functional units. Genes in amplicons included all major tumorigenic pathways and were highly enriched in breast cancer-causative genes. In contrast, 1,188 genes with somatic mutations in breast cancer were distributed randomly over the genome, did not represent a functionally cohesive gene set, and were relatively less enriched in breast cancer marker genes. Mutated and gained genes did not show statistically significant overlap but were highly synergistic in populating key tumorigenic pathways including transforming growth factor beta, WNT, fibroblast growth factor, and PIP3 signaling. In general, mutated genes were more frequently upstream of gained genes in transcription regulation signaling than vice versa, suggesting that mutated genes are mainly regulators, whereas gained genes are mostly regulated. ESR1 was the major transcription factor regulating amplified but not mutated genes. Our results support the hypothesis that multiple genetic events, including copy number gains and somatic mutations, are necessary for establishing the malignant cell phenotype."}
{"STANDARD_NAME":"NIKOLSKY_BREAST_CANCER_22Q13_AMPLICON","SYSTEMATIC_NAME":"M12053","ORGANISM":"Homo sapiens","PMID":"19010930","AUTHORS":"Nikolsky Y,Sviridov E,Yao J,Dosymbekov D,Ustyansky V,Kaznacheev V,Dezso Z,Mulvey L,Macconaill LE,Winckler W,Serebryiskaya T,Nikolskaya T,Polyak K","EXACT_SOURCE":"Suppl. Excel File 1S: 22q13","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes within amplicon 22q13 identified in a copy number alterations study of 191 breast tumor samples.","DESCRIPTION_FULL":"A single cancer cell contains large numbers of genetic alterations that in combination create the malignant phenotype. However, whether amplified and mutated genes form functional and physical interaction networks that could explain the selection for cells with combined alterations is unknown. To investigate this issue, we characterized copy number alterations in 191 breast tumors using dense single nucleotide polymorphism arrays and identified 1,747 genes with copy number gain organized into 30 amplicons. Amplicons were distributed unequally throughout the genome. Each amplicon had distinct enrichment pattern in pathways, networks, and molecular functions, but genes within individual amplicons did not form coherent functional units. Genes in amplicons included all major tumorigenic pathways and were highly enriched in breast cancer-causative genes. In contrast, 1,188 genes with somatic mutations in breast cancer were distributed randomly over the genome, did not represent a functionally cohesive gene set, and were relatively less enriched in breast cancer marker genes. Mutated and gained genes did not show statistically significant overlap but were highly synergistic in populating key tumorigenic pathways including transforming growth factor beta, WNT, fibroblast growth factor, and PIP3 signaling. In general, mutated genes were more frequently upstream of gained genes in transcription regulation signaling than vice versa, suggesting that mutated genes are mainly regulators, whereas gained genes are mostly regulated. ESR1 was the major transcription factor regulating amplified but not mutated genes. Our results support the hypothesis that multiple genetic events, including copy number gains and somatic mutations, are necessary for establishing the malignant cell phenotype."}
{"STANDARD_NAME":"NIKOLSKY_MUTATED_AND_AMPLIFIED_IN_BREAST_CANCER","SYSTEMATIC_NAME":"M18108","ORGANISM":"Homo sapiens","PMID":"19010930","AUTHORS":"Nikolsky Y,Sviridov E,Yao J,Dosymbekov D,Ustyansky V,Kaznacheev V,Dezso Z,Mulvey L,Macconaill LE,Winckler W,Serebryiskaya T,Nikolskaya T,Polyak K","EXACT_SOURCE":"Suppl. Excel File 7S","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes both mutated and amplified in a panel of 191 breast tumor samples.","DESCRIPTION_FULL":"A single cancer cell contains large numbers of genetic alterations that in combination create the malignant phenotype. However, whether amplified and mutated genes form functional and physical interaction networks that could explain the selection for cells with combined alterations is unknown. To investigate this issue, we characterized copy number alterations in 191 breast tumors using dense single nucleotide polymorphism arrays and identified 1,747 genes with copy number gain organized into 30 amplicons. Amplicons were distributed unequally throughout the genome. Each amplicon had distinct enrichment pattern in pathways, networks, and molecular functions, but genes within individual amplicons did not form coherent functional units. Genes in amplicons included all major tumorigenic pathways and were highly enriched in breast cancer-causative genes. In contrast, 1,188 genes with somatic mutations in breast cancer were distributed randomly over the genome, did not represent a functionally cohesive gene set, and were relatively less enriched in breast cancer marker genes. Mutated and gained genes did not show statistically significant overlap but were highly synergistic in populating key tumorigenic pathways including transforming growth factor beta, WNT, fibroblast growth factor, and PIP3 signaling. In general, mutated genes were more frequently upstream of gained genes in transcription regulation signaling than vice versa, suggesting that mutated genes are mainly regulators, whereas gained genes are mostly regulated. ESR1 was the major transcription factor regulating amplified but not mutated genes. Our results support the hypothesis that multiple genetic events, including copy number gains and somatic mutations, are necessary for establishing the malignant cell phenotype."}
{"STANDARD_NAME":"STEGMEIER_PREMITOTIC_CELL_CYCLE_REGULATORS","SYSTEMATIC_NAME":"M9183","ORGANISM":"Homo sapiens","PMID":"17443180","AUTHORS":"Stegmeier F,Rape M,Draviam VM,Nalepa G,Sowa ME,Ang XL,McDonald ER 3rd,Li MZ,Hannon GJ,Sorger PK,Kirschner MW,Harper JW,Elledge SJ","EXACT_SOURCE":"Fig 1DS: CDC","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Pre-mitotic cell cycle regulators (CDC) identified in an shRNA screen of the ubiquitin pathway components.","DESCRIPTION_FULL":"The spindle checkpoint prevents chromosome mis-segregation by delaying sister chromatid separation until all chromosomes have achieved bipolar attachment to the mitotic spindle. Its operation is essential for accurate chromosome segregation, whereas its dysregulation can contribute to birth defects and tumorigenesis. The target of the spindle checkpoint is the anaphase-promoting complex (APC), a ubiquitin ligase that promotes sister chromatid separation and progression to anaphase. Using a short hairpin RNA screen targeting components of the ubiquitin-proteasome pathway in human cells, we identified the deubiquitinating enzyme USP44 (ubiquitin-specific protease 44) as a critical regulator of the spindle checkpoint. USP44 is not required for the initial recognition of unattached kinetochores and the subsequent recruitment of checkpoint components. Instead, it prevents the premature activation of the APC by stabilizing the APC-inhibitory Mad2-Cdc20 complex. USP44 deubiquitinates the APC coactivator Cdc20 both in vitro and in vivo, and thereby directly counteracts the APC-driven disassembly of Mad2-Cdc20 complexes (discussed in an accompanying paper). Our findings suggest that a dynamic balance of ubiquitination by the APC and deubiquitination by USP44 contributes to the generation of the switch-like transition controlling anaphase entry, analogous to the way that phosphorylation and dephosphorylation of Cdk1 by Wee1 and Cdc25 controls entry into mitosis."}
{"STANDARD_NAME":"TESAR_ALK_TARGETS_HUMAN_ES_4D_DN","SYSTEMATIC_NAME":"M16516","ORGANISM":"Homo sapiens","PMID":"17597760","AUTHORS":"Tesar PJ,Chenoweth JG,Brook FA,Davies TJ,Evans EP,Mack DL,Gardner RL,McKay RD","GEOID":"GSE7902","EXACT_SOURCE":"Table 1S: hES d4","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in hES cells (human embryonic stem cells) after treatment with the ALK [GeneID=238] inhibitor SB-431542 [PubChem=16079008].","DESCRIPTION_FULL":"The application of human embryonic stem (ES) cells in medicine and biology has an inherent reliance on understanding the starting cell population. Human ES cells differ from mouse ES cells and the specific embryonic origin of both cell types is unclear. Previous work suggested that mouse ES cells could only be obtained from the embryo before implantation in the uterus. Here we show that cell lines can be derived from the epiblast, a tissue of the post-implantation embryo that generates the embryo proper. These cells, which we refer to as EpiSCs (post-implantation epiblast-derived stem cells), express transcription factors known to regulate pluripotency, maintain their genomic integrity, and robustly differentiate into the major somatic cell types as well as primordial germ cells. The EpiSC lines are distinct from mouse ES cells in their epigenetic state and the signals controlling their differentiation. Furthermore, EpiSC and human ES cells share patterns of gene expression and signalling responses that normally function in the epiblast. These results show that epiblast cells can be maintained as stable cell lines and interrogated to understand how pluripotent cells generate distinct fates during early development."}
{"STANDARD_NAME":"TESAR_ALK_TARGETS_HUMAN_ES_5D_DN","SYSTEMATIC_NAME":"M2811","ORGANISM":"Homo sapiens","PMID":"17597760","AUTHORS":"Tesar PJ,Chenoweth JG,Brook FA,Davies TJ,Evans EP,Mack DL,Gardner RL,McKay RD","GEOID":"GSE7902","EXACT_SOURCE":"Table 1S: hES d5","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in hES cells (human embryonic stem cells) after treatment with the ALK [GeneID=238] inhibitor SB-431542 [PubChem=4521392].","DESCRIPTION_FULL":"The application of human embryonic stem (ES) cells in medicine and biology has an inherent reliance on understanding the starting cell population. Human ES cells differ from mouse ES cells and the specific embryonic origin of both cell types is unclear. Previous work suggested that mouse ES cells could only be obtained from the embryo before implantation in the uterus. Here we show that cell lines can be derived from the epiblast, a tissue of the post-implantation embryo that generates the embryo proper. These cells, which we refer to as EpiSCs (post-implantation epiblast-derived stem cells), express transcription factors known to regulate pluripotency, maintain their genomic integrity, and robustly differentiate into the major somatic cell types as well as primordial germ cells. The EpiSC lines are distinct from mouse ES cells in their epigenetic state and the signals controlling their differentiation. Furthermore, EpiSC and human ES cells share patterns of gene expression and signalling responses that normally function in the epiblast. These results show that epiblast cells can be maintained as stable cell lines and interrogated to understand how pluripotent cells generate distinct fates during early development."}
{"STANDARD_NAME":"JI_METASTASIS_REPRESSED_BY_STK11","SYSTEMATIC_NAME":"M18843","ORGANISM":"Homo sapiens","PMID":"17676035","AUTHORS":"Ji H,Ramsey MR,Hayes DN,Fan C,McNamara K,Kozlowski P,Torrice C,Wu MC,Shimamura T,Perera SA,Liang MC,Cai D,Naumov GN,Bao L,Contreras CM,Li D,Chen L,Krishnamurthy J,Koivunen J,Chirieac LR,Padera RF,Bronson RT,Lindeman NI,Christiani DC,Lin X,Shapiro GI,Jänne PA,Johnson BE,Meyerson M,Kwiatkowski DJ,Castrillon DH,Bardeesy N,Sharpless NE,Wong KK","GEOID":"GSE6135","EXACT_SOURCE":"Fig 8S","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Adenocarcinoma metastatic program genes up-regulated in A549 and H2126 cells (lung cancer) lacking functional STK11 [GeneID=6794] but down-regulated by the normal gene.","DESCRIPTION_FULL":"Germline mutation in serine/threonine kinase 11 (STK11, also called LKB1) results in Peutz-Jeghers syndrome, characterized by intestinal hamartomas and increased incidence of epithelial cancers. Although uncommon in most sporadic cancers, inactivating somatic mutations of LKB1 have been reported in primary human lung adenocarcinomas and derivative cell lines. Here we used a somatically activatable mutant Kras-driven model of mouse lung cancer to compare the role of Lkb1 to other tumour suppressors in lung cancer. Although Kras mutation cooperated with loss of p53 or Ink4a/Arf (also known as Cdkn2a) in this system, the strongest cooperation was seen with homozygous inactivation of Lkb1. Lkb1-deficient tumours demonstrated shorter latency, an expanded histological spectrum (adeno-, squamous and large-cell carcinoma) and more frequent metastasis compared to tumours lacking p53 or Ink4a/Arf. Pulmonary tumorigenesis was also accelerated by hemizygous inactivation of Lkb1. Consistent with these findings, inactivation of LKB1 was found in 34% and 19% of 144 analysed human lung adenocarcinomas and squamous cell carcinomas, respectively. Expression profiling in human lung cancer cell lines and mouse lung tumours identified a variety of metastasis-promoting genes, such as NEDD9, VEGFC and CD24, as targets of LKB1 repression in lung cancer. These studies establish LKB1 as a critical barrier to pulmonary tumorigenesis, controlling initiation, differentiation and metastasis."}
{"STANDARD_NAME":"GOTTWEIN_TARGETS_OF_KSHV_MIR_K12_11","SYSTEMATIC_NAME":"M18201","ORGANISM":"Homo sapiens","PMID":"18075594","AUTHORS":"Gottwein E,Mukherjee N,Sachse C,Frenzel C,Majoros WH,Chi JT,Braich R,Manoharan M,Soutschek J,Ohler U,Cullen BR","GEOID":"GSE8867","EXACT_SOURCE":"Table 1S","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in BJAB cell line (B lymphocyte) after expression of the viral microRNA miR-K12-11 which functions as an ortholog of cellular MIR155 [GeneID=406947].","DESCRIPTION_FULL":"All metazoan eukaryotes express microRNAs (miRNAs), roughly 22-nucleotide regulatory RNAs that can repress the expression of messenger RNAs bearing complementary sequences. Several DNA viruses also express miRNAs in infected cells, suggesting a role in viral replication and pathogenesis. Although specific viral miRNAs have been shown to autoregulate viral mRNAs or downregulate cellular mRNAs, the function of most viral miRNAs remains unknown. Here we report that the miR-K12-11 miRNA encoded by Kaposi's-sarcoma-associated herpes virus (KSHV) shows significant homology to cellular miR-155, including the entire miRNA 'seed' region. Using a range of assays, we show that expression of physiological levels of miR-K12-11 or miR-155 results in the downregulation of an extensive set of common mRNA targets, including genes with known roles in cell growth regulation. Our findings indicate that viral miR-K12-11 functions as an orthologue of cellular miR-155 and probably evolved to exploit a pre-existing gene regulatory pathway in B cells. Moreover, the known aetiological role of miR-155 in B-cell transformation suggests that miR-K12-11 may contribute to the induction of KSHV-positive B-cell tumours in infected patients."}
{"STANDARD_NAME":"CHEN_NEUROBLASTOMA_COPY_NUMBER_GAINS","SYSTEMATIC_NAME":"M1702","ORGANISM":"Homo sapiens","PMID":"18923524","AUTHORS":"Chen Y,Takita J,Choi YL,Kato M,Ohira M,Sanada M,Wang L,Soda M,Kikuchi A,Igarashi T,Nakagawara A,Hayashi Y,Mano H,Ogawa S","GEOID":"GSE12494","EXACT_SOURCE":"Table 4S","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"High-grade amplification (copy number, CN >= 5) detected in primary neuroblastoma samples.","DESCRIPTION_FULL":"Neuroblastoma in advanced stages is one of the most intractable paediatric cancers, even with recent therapeutic advances. Neuroblastoma harbours a variety of genetic changes, including a high frequency of MYCN amplification, loss of heterozygosity at 1p36 and 11q, and gain of genetic material from 17q, all of which have been implicated in the pathogenesis of neuroblastoma. However, the scarcity of reliable molecular targets has hampered the development of effective therapeutic agents targeting neuroblastoma. Here we show that the anaplastic lymphoma kinase (ALK), originally identified as a fusion kinase in a subtype of non-Hodgkin's lymphoma (NPM-ALK) and more recently in adenocarcinoma of lung (EML4-ALK), is also a frequent target of genetic alteration in advanced neuroblastoma. According to our genome-wide scans of genetic lesions in 215 primary neuroblastoma samples using high-density single-nucleotide polymorphism genotyping microarrays, the ALK locus, centromeric to the MYCN locus, was identified as a recurrent target of copy number gain and gene amplification. Furthermore, DNA sequencing of ALK revealed eight novel missense mutations in 13 out of 215 (6.1%) fresh tumours and 8 out of 24 (33%) neuroblastoma-derived cell lines. All but one mutation in the primary samples (12 out of 13) were found in stages 3-4 of the disease and were harboured in the kinase domain. The mutated kinases were autophosphorylated and displayed increased kinase activity compared with the wild-type kinase. They were able to transform NIH3T3 fibroblasts as shown by their colony formation ability in soft agar and their capacity to form tumours in nude mice. Furthermore, we demonstrate that downregulation of ALK through RNA interference suppresses proliferation of neuroblastoma cells harbouring mutated ALK. We anticipate that our findings will provide new insights into the pathogenesis of advanced neuroblastoma and that ALK-specific kinase inhibitors might improve its clinical outcome."}
{"STANDARD_NAME":"TCGA_GLIOBLASTOMA_COPY_NUMBER_UP","SYSTEMATIC_NAME":"M5536","ORGANISM":"Homo sapiens","PMID":"18772890","AUTHORS":"Cancer Genome Atlas Research Network","GEOID":"GSE11233","EXACT_SOURCE":"Table 2S: increased expression and amplification","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated and displaying increased copy number in glioblastoma samples.","DESCRIPTION_FULL":"Human cancer cells typically harbour multiple chromosomal aberrations, nucleotide substitutions and epigenetic modifications that drive malignant transformation. The Cancer Genome Atlas (TCGA) pilot project aims to assess the value of large-scale multi-dimensional analysis of these molecular characteristics in human cancer and to provide the data rapidly to the research community. Here we report the interim integrative analysis of DNA copy number, gene expression and DNA methylation aberrations in 206 glioblastomas--the most common type of adult brain cancer--and nucleotide sequence aberrations in 91 of the 206 glioblastomas. This analysis provides new insights into the roles of ERBB2, NF1 and TP53, uncovers frequent mutations of the phosphatidylinositol-3-OH kinase regulatory subunit gene PIK3R1, and provides a network view of the pathways altered in the development of glioblastoma. Furthermore, integration of mutation, DNA methylation and clinical treatment data reveals a link between MGMT promoter methylation and a hypermutator phenotype consequent to mismatch repair deficiency in treated glioblastomas, an observation with potential clinical implications. Together, these findings establish the feasibility and power of TCGA, demonstrating that it can rapidly expand knowledge of the molecular basis of cancer."}
{"STANDARD_NAME":"TCGA_GLIOBLASTOMA_COPY_NUMBER_DN","SYSTEMATIC_NAME":"M5520","ORGANISM":"Homo sapiens","PMID":"18772890","AUTHORS":"Cancer Genome Atlas Research Network","GEOID":"GSE11233","EXACT_SOURCE":"Table 2S: reduced expression and deletion","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated and displaying decreased copy number in glioblastoma samples.","DESCRIPTION_FULL":"Human cancer cells typically harbour multiple chromosomal aberrations, nucleotide substitutions and epigenetic modifications that drive malignant transformation. The Cancer Genome Atlas (TCGA) pilot project aims to assess the value of large-scale multi-dimensional analysis of these molecular characteristics in human cancer and to provide the data rapidly to the research community. Here we report the interim integrative analysis of DNA copy number, gene expression and DNA methylation aberrations in 206 glioblastomas--the most common type of adult brain cancer--and nucleotide sequence aberrations in 91 of the 206 glioblastomas. This analysis provides new insights into the roles of ERBB2, NF1 and TP53, uncovers frequent mutations of the phosphatidylinositol-3-OH kinase regulatory subunit gene PIK3R1, and provides a network view of the pathways altered in the development of glioblastoma. Furthermore, integration of mutation, DNA methylation and clinical treatment data reveals a link between MGMT promoter methylation and a hypermutator phenotype consequent to mismatch repair deficiency in treated glioblastomas, an observation with potential clinical implications. Together, these findings establish the feasibility and power of TCGA, demonstrating that it can rapidly expand knowledge of the molecular basis of cancer."}
{"STANDARD_NAME":"DING_LUNG_CANCER_MUTATED_SIGNIFICANTLY","SYSTEMATIC_NAME":"M16488","ORGANISM":"Homo sapiens","PMID":"18948947","AUTHORS":"Ding L,Getz G,Wheeler DA,Mardis ER,McLellan MD,Cibulskis K,Sougnez C,Greulich H,Muzny DM,Morgan MB,Fulton L,Fulton RS,Zhang Q,Wendl MC,Lawrence MS,Larson DE,Chen K,Dooling DJ,Sabo A,Hawes AC,Shen H,Jhangiani SN,Lewis LR,Hall O,Zhu Y,Mathew T,Ren Y,Yao J,Scherer SE,Clerc K,Metcalf GA,Ng B,Milosavljevic A,Gonzalez-Garay ML,Osborne JR,Meyer R,Shi X,Tang Y,Koboldt DC,Lin L,Abbott R,Miner TL,Pohl C,Fewell G,Haipek C,Schmidt H,Dunford-Shore BH,Kraja A,Crosby SD,Sawyer CS,Vickery T,Sander S,Robinson J,Winckler W,Baldwin J,Chirieac LR,Dutt A,Fennell T,Hanna M,Johnson BE,Onofrio RC,Thomas RK,Tonon G,Weir BA,Zhao X,Ziaugra L,Zody MC,Giordano T,Orringer MB,Roth JA,Spitz MR,Wistuba II,Ozenberger B,Good PJ,Chang AC,Beer DG,Watson MA,Ladanyi M,Broderick S,Yoshizawa A,Travis WD,Pao W,Province MA,Weinstock GM,Varmus HE,Gabriel SB,Lander ES,Gibbs RA,Meyerson M,Wilson RK","GEOID":"GSE12667","EXACT_SOURCE":"Fig 1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"The lung adenocarcinoma TSP (tumor sequencing project) genes that were found significantly mutated by at least one method.","DESCRIPTION_FULL":"Determining the genetic basis of cancer requires comprehensive analyses of large collections of histopathologically well-classified primary tumours. Here we report the results of a collaborative study to discover somatic mutations in 188 human lung adenocarcinomas. DNA sequencing of 623 genes with known or potential relationships to cancer revealed more than 1,000 somatic mutations across the samples. Our analysis identified 26 genes that are mutated at significantly high frequencies and thus are probably involved in carcinogenesis. The frequently mutated genes include tyrosine kinases, among them the EGFR homologue ERBB4; multiple ephrin receptor genes, notably EPHA3; vascular endothelial growth factor receptor KDR; and NTRK genes. These data provide evidence of somatic mutations in primary lung adenocarcinoma for several tumour suppressor genes involved in other cancers--including NF1, APC, RB1 and ATM--and for sequence changes in PTPRD as well as the frequently deleted gene LRP1B. The observed mutational profiles correlate with clinical features, smoking status and DNA repair defects. These results are reinforced by data integration including single nucleotide polymorphism array and gene expression array. Our findings shed further light on several important signalling pathways involved in lung adenocarcinoma, and suggest new molecular targets for treatment."}
{"STANDARD_NAME":"DING_LUNG_CANCER_MUTATED_FREQUENTLY","SYSTEMATIC_NAME":"M16718","ORGANISM":"Homo sapiens","PMID":"18948947","AUTHORS":"Ding L,Getz G,Wheeler DA,Mardis ER,McLellan MD,Cibulskis K,Sougnez C,Greulich H,Muzny DM,Morgan MB,Fulton L,Fulton RS,Zhang Q,Wendl MC,Lawrence MS,Larson DE,Chen K,Dooling DJ,Sabo A,Hawes AC,Shen H,Jhangiani SN,Lewis LR,Hall O,Zhu Y,Mathew T,Ren Y,Yao J,Scherer SE,Clerc K,Metcalf GA,Ng B,Milosavljevic A,Gonzalez-Garay ML,Osborne JR,Meyer R,Shi X,Tang Y,Koboldt DC,Lin L,Abbott R,Miner TL,Pohl C,Fewell G,Haipek C,Schmidt H,Dunford-Shore BH,Kraja A,Crosby SD,Sawyer CS,Vickery T,Sander S,Robinson J,Winckler W,Baldwin J,Chirieac LR,Dutt A,Fennell T,Hanna M,Johnson BE,Onofrio RC,Thomas RK,Tonon G,Weir BA,Zhao X,Ziaugra L,Zody MC,Giordano T,Orringer MB,Roth JA,Spitz MR,Wistuba II,Ozenberger B,Good PJ,Chang AC,Beer DG,Watson MA,Ladanyi M,Broderick S,Yoshizawa A,Travis WD,Pao W,Province MA,Weinstock GM,Varmus HE,Gabriel SB,Lander ES,Gibbs RA,Meyerson M,Wilson RK","GEOID":"GSE12667","EXACT_SOURCE":"Table 3aS: p<0.1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"The lung adenocarcinoma TSP (tumor sequencing project) genes with significantly higher frequencies of nonsense, splice site, and frame-shift mutations.","DESCRIPTION_FULL":"Determining the genetic basis of cancer requires comprehensive analyses of large collections of histopathologically well-classified primary tumours. Here we report the results of a collaborative study to discover somatic mutations in 188 human lung adenocarcinomas. DNA sequencing of 623 genes with known or potential relationships to cancer revealed more than 1,000 somatic mutations across the samples. Our analysis identified 26 genes that are mutated at significantly high frequencies and thus are probably involved in carcinogenesis. The frequently mutated genes include tyrosine kinases, among them the EGFR homologue ERBB4; multiple ephrin receptor genes, notably EPHA3; vascular endothelial growth factor receptor KDR; and NTRK genes. These data provide evidence of somatic mutations in primary lung adenocarcinoma for several tumour suppressor genes involved in other cancers--including NF1, APC, RB1 and ATM--and for sequence changes in PTPRD as well as the frequently deleted gene LRP1B. The observed mutational profiles correlate with clinical features, smoking status and DNA repair defects. These results are reinforced by data integration including single nucleotide polymorphism array and gene expression array. Our findings shed further light on several important signalling pathways involved in lung adenocarcinoma, and suggest new molecular targets for treatment."}
{"STANDARD_NAME":"DING_LUNG_CANCER_EXPRESSION_BY_COPY_NUMBER","SYSTEMATIC_NAME":"M14670","ORGANISM":"Homo sapiens","PMID":"18948947","AUTHORS":"Ding L,Getz G,Wheeler DA,Mardis ER,McLellan MD,Cibulskis K,Sougnez C,Greulich H,Muzny DM,Morgan MB,Fulton L,Fulton RS,Zhang Q,Wendl MC,Lawrence MS,Larson DE,Chen K,Dooling DJ,Sabo A,Hawes AC,Shen H,Jhangiani SN,Lewis LR,Hall O,Zhu Y,Mathew T,Ren Y,Yao J,Scherer SE,Clerc K,Metcalf GA,Ng B,Milosavljevic A,Gonzalez-Garay ML,Osborne JR,Meyer R,Shi X,Tang Y,Koboldt DC,Lin L,Abbott R,Miner TL,Pohl C,Fewell G,Haipek C,Schmidt H,Dunford-Shore BH,Kraja A,Crosby SD,Sawyer CS,Vickery T,Sander S,Robinson J,Winckler W,Baldwin J,Chirieac LR,Dutt A,Fennell T,Hanna M,Johnson BE,Onofrio RC,Thomas RK,Tonon G,Weir BA,Zhao X,Ziaugra L,Zody MC,Giordano T,Orringer MB,Roth JA,Spitz MR,Wistuba II,Ozenberger B,Good PJ,Chang AC,Beer DG,Watson MA,Ladanyi M,Broderick S,Yoshizawa A,Travis WD,Pao W,Province MA,Weinstock GM,Varmus HE,Gabriel SB,Lander ES,Gibbs RA,Meyerson M,Wilson RK","GEOID":"GSE12667","EXACT_SOURCE":"Table 9aS","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"The lung adenocarcinoma TSP (tumor sequencing project) genes showing strong correlation between DNA copy number variation and gene expression.","DESCRIPTION_FULL":"Determining the genetic basis of cancer requires comprehensive analyses of large collections of histopathologically well-classified primary tumours. Here we report the results of a collaborative study to discover somatic mutations in 188 human lung adenocarcinomas. DNA sequencing of 623 genes with known or potential relationships to cancer revealed more than 1,000 somatic mutations across the samples. Our analysis identified 26 genes that are mutated at significantly high frequencies and thus are probably involved in carcinogenesis. The frequently mutated genes include tyrosine kinases, among them the EGFR homologue ERBB4; multiple ephrin receptor genes, notably EPHA3; vascular endothelial growth factor receptor KDR; and NTRK genes. These data provide evidence of somatic mutations in primary lung adenocarcinoma for several tumour suppressor genes involved in other cancers--including NF1, APC, RB1 and ATM--and for sequence changes in PTPRD as well as the frequently deleted gene LRP1B. The observed mutational profiles correlate with clinical features, smoking status and DNA repair defects. These results are reinforced by data integration including single nucleotide polymorphism array and gene expression array. Our findings shed further light on several important signalling pathways involved in lung adenocarcinoma, and suggest new molecular targets for treatment."}
{"STANDARD_NAME":"ONDER_CDH1_TARGETS_1_UP","SYSTEMATIC_NAME":"M18757","ORGANISM":"Homo sapiens","PMID":"18483246","AUTHORS":"Onder TT,Gupta PB,Mani SA,Yang J,Lander ES,Weinberg RA","GEOID":"GSE9691","EXACT_SOURCE":"Table 2S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in HMLE cells (mmortalized nontransformed mammary epithelial) by expression of a dominant-negative form of E-cadhedrin (CDH1) [GeneID=999].","DESCRIPTION_FULL":"Loss of the epithelial adhesion molecule E-cadherin is thought to enable metastasis by disrupting intercellular contacts-an early step in metastatic dissemination. To further investigate the molecular basis of this notion, we use two methods to inhibit E-cadherin function that distinguish between E-cadherin's cell-cell adhesion and intracellular signaling functions. Whereas the disruption of cell-cell contacts alone does not enable metastasis, the loss of E-cadherin protein does, through induction of an epithelial-to-mesenchymal transition, invasiveness, and anoikis resistance. We find the E-cadherin binding partner beta-catenin to be necessary, but not sufficient, for induction of these phenotypes. In addition, gene expression analysis shows that E-cadherin loss results in the induction of multiple transcription factors, at least one of which, Twist, is necessary for E-cadherin loss-induced metastasis. These findings indicate that E-cadherin loss in tumors contributes to metastatic dissemination by inducing wide-ranging transcriptional and functional changes."}
{"STANDARD_NAME":"ONDER_CDH1_TARGETS_1_DN","SYSTEMATIC_NAME":"M6822","ORGANISM":"Homo sapiens","PMID":"18483246","AUTHORS":"Onder TT,Gupta PB,Mani SA,Yang J,Lander ES,Weinberg RA","GEOID":"GSE9691","EXACT_SOURCE":"Table 2S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in HMLE cells (mmortalized nontransformed mammary epithelial) by expression of a dominant-negative form of E-cadhedrin (CDH1) [GeneID=999].","DESCRIPTION_FULL":"Loss of the epithelial adhesion molecule E-cadherin is thought to enable metastasis by disrupting intercellular contacts-an early step in metastatic dissemination. To further investigate the molecular basis of this notion, we use two methods to inhibit E-cadherin function that distinguish between E-cadherin's cell-cell adhesion and intracellular signaling functions. Whereas the disruption of cell-cell contacts alone does not enable metastasis, the loss of E-cadherin protein does, through induction of an epithelial-to-mesenchymal transition, invasiveness, and anoikis resistance. We find the E-cadherin binding partner beta-catenin to be necessary, but not sufficient, for induction of these phenotypes. In addition, gene expression analysis shows that E-cadherin loss results in the induction of multiple transcription factors, at least one of which, Twist, is necessary for E-cadherin loss-induced metastasis. These findings indicate that E-cadherin loss in tumors contributes to metastatic dissemination by inducing wide-ranging transcriptional and functional changes."}
{"STANDARD_NAME":"ONDER_CDH1_TARGETS_3_UP","SYSTEMATIC_NAME":"M844","ORGANISM":"Homo sapiens","PMID":"18483246","AUTHORS":"Onder TT,Gupta PB,Mani SA,Yang J,Lander ES,Weinberg RA","GEOID":"GSE9691","EXACT_SOURCE":"Table 3S","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in HMLE cells (immortalized nontransformed mammary epithelial) cells after loss of function of E-cadhedrin (CDH1) [GeneID=999], which was achieved either by RNAi knockdown or by expression of a dominan-negative form of CDH1.","DESCRIPTION_FULL":"Loss of the epithelial adhesion molecule E-cadherin is thought to enable metastasis by disrupting intercellular contacts-an early step in metastatic dissemination. To further investigate the molecular basis of this notion, we use two methods to inhibit E-cadherin function that distinguish between E-cadherin's cell-cell adhesion and intracellular signaling functions. Whereas the disruption of cell-cell contacts alone does not enable metastasis, the loss of E-cadherin protein does, through induction of an epithelial-to-mesenchymal transition, invasiveness, and anoikis resistance. We find the E-cadherin binding partner beta-catenin to be necessary, but not sufficient, for induction of these phenotypes. In addition, gene expression analysis shows that E-cadherin loss results in the induction of multiple transcription factors, at least one of which, Twist, is necessary for E-cadherin loss-induced metastasis. These findings indicate that E-cadherin loss in tumors contributes to metastatic dissemination by inducing wide-ranging transcriptional and functional changes."}
{"STANDARD_NAME":"ONDER_CDH1_TARGETS_3_DN","SYSTEMATIC_NAME":"M11790","ORGANISM":"Homo sapiens","PMID":"18483246","AUTHORS":"Onder TT,Gupta PB,Mani SA,Yang J,Lander ES,Weinberg RA","GEOID":"GSE9691","EXACT_SOURCE":"Table 3S","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in HMLE cells (immortalized nontransformed mammary epithelial) cells after loss of function of E-cadhedrin (CDH1) [GeneID=999], which was achieved either by RNAi knockdown or by expression of a dominan-negative form of CDH1.","DESCRIPTION_FULL":"Loss of the epithelial adhesion molecule E-cadherin is thought to enable metastasis by disrupting intercellular contacts-an early step in metastatic dissemination. To further investigate the molecular basis of this notion, we use two methods to inhibit E-cadherin function that distinguish between E-cadherin's cell-cell adhesion and intracellular signaling functions. Whereas the disruption of cell-cell contacts alone does not enable metastasis, the loss of E-cadherin protein does, through induction of an epithelial-to-mesenchymal transition, invasiveness, and anoikis resistance. We find the E-cadherin binding partner beta-catenin to be necessary, but not sufficient, for induction of these phenotypes. In addition, gene expression analysis shows that E-cadherin loss results in the induction of multiple transcription factors, at least one of which, Twist, is necessary for E-cadherin loss-induced metastasis. These findings indicate that E-cadherin loss in tumors contributes to metastatic dissemination by inducing wide-ranging transcriptional and functional changes."}
{"STANDARD_NAME":"ZEILSTRA_CD44_TARGETS_UP","SYSTEMATIC_NAME":"M1398","ORGANISM":"Mus musculus","PMID":"18483247","AUTHORS":"Zeilstra J,Joosten SP,Dokter M,Verwiel E,Spaargaren M,Pals ST","EXACT_SOURCE":"Table 1S","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes implicated in apoptosis that were up-regulated in duodenum of CD44 [GeneID=960] knockout mice.","DESCRIPTION_FULL":"Mutation of the genes encoding the WNT signaling components adenomatous polyposis coli or beta-catenin plays a critical role in the initiation of colorectal cancer. These mutations cause constitutively active beta-catenin/TCF-mediated transcription, driving the transformation of intestinal crypts to colorectal cancer precursor lesions, called dysplastic aberrant crypt foci. CD44 is a prominent WNT signaling target in the intestine and is selectively expressed on the renewing epithelial cells lining the crypts. The expression of CD44 is dramatically increased in aberrant crypt foci in both humans and tumor-susceptible Apc(Min/+) mice, suggesting a role for CD44 in intestinal tumorigenesis. To study this role, we crossed C57BL/6J-Cd44(-/-) mice with C57BL/6J-Apc(Min/+) mice. Compared with C57BL/6J-Cd44(+/+)/Apc(Min/+) mice, C57BL/6J-Cd44(-/-)/Apc(Min/+) mice showed an almost 50% reduction in the number of intestinal adenomas. This reduction was primarily caused by a decrease in the formation of aberrant crypts, implying the involvement of CD44 in tumor initiation. The absence of CD44 in the normal (nonneoplastic) crypts of Cd44(-/-)/Apc(Min/+) mice did not alter the proliferative capacity and size of the intestinal stem cell and transit-amplifying compartments. However, compared with Cd44(+/+)/Apc(Min/+) mice, Cd44(-/-)/Apc(Min/+) showed an increase in the number of apoptotic epithelial cells at the base of the crypt which correlated with an increased expression of the proapoptotic genes Bok and Dr6. Our results show an important role for CD44 in intestinal tumorigenesis and suggest that CD44 does not affect proliferation but is involved in the control of the balance between survival and apoptosis in the intestinal crypt."}
{"STANDARD_NAME":"ZEILSTRA_CD44_TARGETS_DN","SYSTEMATIC_NAME":"M1400","ORGANISM":"Mus musculus","PMID":"18483247","AUTHORS":"Zeilstra J,Joosten SP,Dokter M,Verwiel E,Spaargaren M,Pals ST","EXACT_SOURCE":"Table 1S","CHIP":"Mouse_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes implicated in apoptosis that were down-regulated in duodenum of CD44 [GeneID=960] knockout mice.","DESCRIPTION_FULL":"Mutation of the genes encoding the WNT signaling components adenomatous polyposis coli or beta-catenin plays a critical role in the initiation of colorectal cancer. These mutations cause constitutively active beta-catenin/TCF-mediated transcription, driving the transformation of intestinal crypts to colorectal cancer precursor lesions, called dysplastic aberrant crypt foci. CD44 is a prominent WNT signaling target in the intestine and is selectively expressed on the renewing epithelial cells lining the crypts. The expression of CD44 is dramatically increased in aberrant crypt foci in both humans and tumor-susceptible Apc(Min/+) mice, suggesting a role for CD44 in intestinal tumorigenesis. To study this role, we crossed C57BL/6J-Cd44(-/-) mice with C57BL/6J-Apc(Min/+) mice. Compared with C57BL/6J-Cd44(+/+)/Apc(Min/+) mice, C57BL/6J-Cd44(-/-)/Apc(Min/+) mice showed an almost 50% reduction in the number of intestinal adenomas. This reduction was primarily caused by a decrease in the formation of aberrant crypts, implying the involvement of CD44 in tumor initiation. The absence of CD44 in the normal (nonneoplastic) crypts of Cd44(-/-)/Apc(Min/+) mice did not alter the proliferative capacity and size of the intestinal stem cell and transit-amplifying compartments. However, compared with Cd44(+/+)/Apc(Min/+) mice, Cd44(-/-)/Apc(Min/+) showed an increase in the number of apoptotic epithelial cells at the base of the crypt which correlated with an increased expression of the proapoptotic genes Bok and Dr6. Our results show an important role for CD44 in intestinal tumorigenesis and suggest that CD44 does not affect proliferation but is involved in the control of the balance between survival and apoptosis in the intestinal crypt."}
{"STANDARD_NAME":"CERVERA_SDHB_TARGETS_2","SYSTEMATIC_NAME":"M19068","ORGANISM":"Homo sapiens","PMID":"18519664","AUTHORS":"Cervera AM,Apostolova N,Crespo FL,Mata M,McCreath KJ","GEOID":"GSE10289","EXACT_SOURCE":"Table 2CS","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes present but differentially expressed between Hep3B cells (hepatocellular carcinoma, HCC) with RNAi knockdown of SDHB [GeneID=6390] and control cells.","DESCRIPTION_FULL":"Recently, enzymes of the tricarboxylic acid (TCA) cycle have emerged as novel tumor suppressors. In particular, mutations in the nuclear-encoded subunits of succinate dehydrogenase (SDHB, SDHC, and SDHD) cause paragangliomas and pheochromocytomas. Although the mechanism(s) by which disruption of mitochondrial metabolism leads to neoplasia is largely unknown, increasing evidence points to an activation of pseudohypoxia. In this study, we have shown that silencing of SDHB using DNA-based small interfering RNA resulted in major impairments in cellular proliferation, respiration, and a corresponding shift to glycolysis. The levels of reactive oxygen species, however, were unchanged. As expected, hypoxia-inducible factor-1 alpha (HIF-1 alpha) and HIF-2alpha were up-regulated in chronically silenced cells, suggesting that a pseudohypoxic state was attained. In addition, the c-Jun amino-terminal kinase and p38 kinase stress signaling proteins were hyperphosphorylated in SDHB-silenced cells. Microarray analysis showed that >400 genes were influenced (6-fold or more up-regulation or down-regulation) by silencing of SDHB, confirming the importance of the TCA cycle in cellular metabolism. Examples of dysregulated genes included those involved in proliferation, adhesion, and the hypoxia pathway. Of interest, SDHB-silenced cells had a greater capacity to adhere to extracellular matrix components, including fibronectin and laminin, than control cells, thus suggesting a possible mechanism of tumor initiation. Although transient silencing of the HIF-1 alpha transcription factor in SDHB-silenced cells had little effect on the expression of a subset of up-regulated genes, it partially reversed the adhesion phenotype to fibronectin, pointing to a potentially important role for HIF-1 in this process."}
{"STANDARD_NAME":"LANDEMAINE_LUNG_METASTASIS","SYSTEMATIC_NAME":"M5914","ORGANISM":"Homo sapiens","PMID":"18676831","AUTHORS":"Landemaine T,Jackson A,Bellahcène A,Rucci N,Sin S,Abad BM,Sierra A,Boudinet A,Guinebretière JM,Ricevuto E,Noguès C,Briffod M,Bièche I,Cherel P,Garcia T,Castronovo V,Teti A,Lidereau R,Driouch K","GEOID":"GSE11078","EXACT_SOURCE":"Table 1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes associated with metastasis of breast cancer in the lung compared to the non-lung metastasis.","DESCRIPTION_FULL":"The lungs are a frequent target of metastatic breast cancer cells, but the underlying molecular mechanisms are unclear. All existing data were obtained either using statistical association between gene expression measurements found in primary tumors and clinical outcome, or using experimentally derived signatures from mouse tumor models. Here, we describe a distinct approach that consists of using tissue surgically resected from lung metastatic lesions and comparing their gene expression profiles with those from nonpulmonary sites, all coming from breast cancer patients. We show that the gene expression profiles of organ-specific metastatic lesions can be used to predict lung metastasis in breast cancer. We identified a set of 21 lung metastasis-associated genes. Using a cohort of 72 lymph node-negative breast cancer patients, we developed a 6-gene prognostic classifier that discriminated breast primary cancers with a significantly higher risk of lung metastasis. We then validated the predictive ability of the 6-gene signature in 3 independent cohorts of breast cancers consisting of a total of 721 patients. Finally, we show that the signature improves risk stratification independently of known standard clinical variables and a previously established lung metastasis signature based on an experimental breast cancer metastasis model."}
{"STANDARD_NAME":"CERVERA_SDHB_TARGETS_1_UP","SYSTEMATIC_NAME":"M15549","ORGANISM":"Homo sapiens","PMID":"18519664","AUTHORS":"Cervera AM,Apostolova N,Crespo FL,Mata M,McCreath KJ","GEOID":"GSE10289","EXACT_SOURCE":"Table 2AS","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes turned on in Hep3B cells (hepatocellular carcinoma, HCC) upon knockdown of SDHB [GeneID=6390] by RNAi.","DESCRIPTION_FULL":"Recently, enzymes of the tricarboxylic acid (TCA) cycle have emerged as novel tumor suppressors. In particular, mutations in the nuclear-encoded subunits of succinate dehydrogenase (SDHB, SDHC, and SDHD) cause paragangliomas and pheochromocytomas. Although the mechanism(s) by which disruption of mitochondrial metabolism leads to neoplasia is largely unknown, increasing evidence points to an activation of pseudohypoxia. In this study, we have shown that silencing of SDHB using DNA-based small interfering RNA resulted in major impairments in cellular proliferation, respiration, and a corresponding shift to glycolysis. The levels of reactive oxygen species, however, were unchanged. As expected, hypoxia-inducible factor-1 alpha (HIF-1 alpha) and HIF-2alpha were up-regulated in chronically silenced cells, suggesting that a pseudohypoxic state was attained. In addition, the c-Jun amino-terminal kinase and p38 kinase stress signaling proteins were hyperphosphorylated in SDHB-silenced cells. Microarray analysis showed that >400 genes were influenced (6-fold or more up-regulation or down-regulation) by silencing of SDHB, confirming the importance of the TCA cycle in cellular metabolism. Examples of dysregulated genes included those involved in proliferation, adhesion, and the hypoxia pathway. Of interest, SDHB-silenced cells had a greater capacity to adhere to extracellular matrix components, including fibronectin and laminin, than control cells, thus suggesting a possible mechanism of tumor initiation. Although transient silencing of the HIF-1 alpha transcription factor in SDHB-silenced cells had little effect on the expression of a subset of up-regulated genes, it partially reversed the adhesion phenotype to fibronectin, pointing to a potentially important role for HIF-1 in this process."}
{"STANDARD_NAME":"CERVERA_SDHB_TARGETS_1_DN","SYSTEMATIC_NAME":"M11404","ORGANISM":"Homo sapiens","PMID":"18519664","AUTHORS":"Cervera AM,Apostolova N,Crespo FL,Mata M,McCreath KJ","GEOID":"GSE10289","EXACT_SOURCE":"Table 2BS","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes turned off in Hep3B cells (hepatocellular carcinoma, HCC) upon knockdown of SDHB [GeneID=6390] by RNAi.","DESCRIPTION_FULL":"Recently, enzymes of the tricarboxylic acid (TCA) cycle have emerged as novel tumor suppressors. In particular, mutations in the nuclear-encoded subunits of succinate dehydrogenase (SDHB, SDHC, and SDHD) cause paragangliomas and pheochromocytomas. Although the mechanism(s) by which disruption of mitochondrial metabolism leads to neoplasia is largely unknown, increasing evidence points to an activation of pseudohypoxia. In this study, we have shown that silencing of SDHB using DNA-based small interfering RNA resulted in major impairments in cellular proliferation, respiration, and a corresponding shift to glycolysis. The levels of reactive oxygen species, however, were unchanged. As expected, hypoxia-inducible factor-1 alpha (HIF-1 alpha) and HIF-2alpha were up-regulated in chronically silenced cells, suggesting that a pseudohypoxic state was attained. In addition, the c-Jun amino-terminal kinase and p38 kinase stress signaling proteins were hyperphosphorylated in SDHB-silenced cells. Microarray analysis showed that >400 genes were influenced (6-fold or more up-regulation or down-regulation) by silencing of SDHB, confirming the importance of the TCA cycle in cellular metabolism. Examples of dysregulated genes included those involved in proliferation, adhesion, and the hypoxia pathway. Of interest, SDHB-silenced cells had a greater capacity to adhere to extracellular matrix components, including fibronectin and laminin, than control cells, thus suggesting a possible mechanism of tumor initiation. Although transient silencing of the HIF-1 alpha transcription factor in SDHB-silenced cells had little effect on the expression of a subset of up-regulated genes, it partially reversed the adhesion phenotype to fibronectin, pointing to a potentially important role for HIF-1 in this process."}
{"STANDARD_NAME":"ROSS_ACUTE_MYELOID_LEUKEMIA_CBF","SYSTEMATIC_NAME":"M7804","ORGANISM":"Homo sapiens","PMID":"15226186","AUTHORS":"Ross ME,Mahfouz R,Onciu M,Liu HC,Zhou X,Song G,Shurtleff SA,Pounds S,Cheng C,Ma J,Ribeiro RC,Rubnitz JE,Girtman K,Williams WK,Raimondi SC,Liang DC,Shih LY,Pui CH,Downing JR","EXACT_SOURCE":"Table S12","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kate Stafford","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top 100 probe sets for core-binding factor (CBF) acute myeloid leukemia (AML): contains CBFB MYH11 [GeneID=865;4629] or AML1 ETO [GeneID=861;862] fusions.","DESCRIPTION_FULL":"Contemporary treatment of pediatric acute myeloid leukemia (AML) requires the assignment of patients to specific risk groups. To explore whether expression profiling of leukemic blasts could accurately distinguish between the known risk groups of AML, we analyzed 130 pediatric and 20 adult AML diagnostic bone marrow or peripheral blood samples using the Affymetrix U133A microarray. Class discriminating genes were identified for each of the major prognostic subtypes of pediatric AML, including t(15;17)[PML-RARalpha], t(8;21)[AML1-ETO], inv(16) [CBFbeta-MYH11], MLL chimeric fusion genes, and cases classified as FAB-M7. When subsets of these genes were used in supervised learning algorithms, an overall classification accuracy of more than 93% was achieved. Moreover, we were able to use the expression signatures generated from the pediatric samples to accurately classify adult de novo AMLs with the same genetic lesions. The class discriminating genes also provided novel insights into the molecular pathobiology of these leukemias. Finally, using a combined pediatric data set of 130 AMLs and 137 acute lymphoblastic leukemias, we identified an expression signature for cases with MLL chimeric fusion genes irrespective of lineage. Surprisingly, AMLs containing partial tandem duplications of MLL failed to cluster with MLL chimeric fusion gene cases, suggesting a significant difference in their underlying mechanism of transformation."}
{"STANDARD_NAME":"KENNY_CTNNB1_TARGETS_UP","SYSTEMATIC_NAME":"M11067","ORGANISM":"Mus musculus","PMID":"15642117","AUTHORS":"Kenny PA,Enver T,Ashworth A","EXACT_SOURCE":"Suppl. file 1: top 100 up-regulated genes, converted to human orthologs","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes up-regulated in HC11 cells (mammary epithelium) by expression of constantly active CTNNB1 [GeneID=1499].","DESCRIPTION_FULL":"BACKGROUND: Deregulation of the Wnt/ beta-catenin signal transduction pathway has been implicated in the pathogenesis of tumours in the mammary gland, colon and other tissues. Mutations in components of this pathway result in beta-catenin stabilization and accumulation, and the aberrant modulation of beta-catenin/TCF target genes. Such alterations in the cellular transcriptional profile are believed to underlie the pathogenesis of these cancers. We have sought to identify novel target genes of this pathway in mouse mammary epithelial cells. METHODS: Gene expression microarray analysis of mouse mammary epithelial cells inducibly expressing a constitutively active mutant of beta-catenin was used to identify target genes of this pathway. RESULTS: The differential expression in response to DeltaNbeta-catenin for five putative target genes, Autotaxin, Extracellular Matrix Protein 1 (Ecm1), CD14, Hypoxia-inducible gene 2 (Hig2) and Receptor Activity Modifying Protein 3 (RAMP3), was independently validated by northern blotting. Each of these genes encodes either a receptor or a secreted protein, modulation of which may underlie the interactions between Wnt/beta-catenin tumour cells and between the tumour and its microenvironment. One of these genes, Hig2, previously shown to be induced by both hypoxia and glucose deprivation in human cervical carcinoma cells, was strongly repressed upon DeltaNbeta-catenin induction. The predicted N-terminus of Hig2 contains a putative signal peptide suggesting it might be secreted. Consistent with this, a Hig2-EGFP fusion protein was able to enter the secretory pathway and was detected in conditioned medium. Mutation of critical residues in the putative signal sequence abolished its secretion. The expression of human HIG2 was examined in a panel of human tumours and was found to be significantly downregulated in kidney tumours compared to normal adjacent tissue. CONCLUSIONS: HIG2 represents a novel non-cell autonomous target of the Wnt pathway which is potentially involved in human cancer."}
{"STANDARD_NAME":"CHEOK_RESPONSE_TO_MERCAPTOPURINE_DN","SYSTEMATIC_NAME":"M12605","ORGANISM":"Homo sapiens","PMID":"12704389","AUTHORS":"Cheok MH,Yang W,Pui CH,Downing JR,Cheng C,Naeve CW,Relling MV,Evans WE","GEOID":"GSE412","EXACT_SOURCE":"Table 2S: MP DC < 0 & MP p val. < 0.01","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jean Junior","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes specifically down-regulated in pediadric acute lymphoblastic leukemia (ALL) patients by mercaptopurine [PubChem=667490].","DESCRIPTION_FULL":"To elucidate the genomics of cellular responses to cancer treatment, we analyzed the expression of over 9,600 human genes in acute lymphoblastic leukemia cells before and after in vivo treatment with methotrexate and mercaptopurine given alone or in combination. Based on changes in gene expression, we identified 124 genes that accurately discriminated among the four treatments. Discriminating genes included those involved in apoptosis, mismatch repair, cell cycle control and stress response. Only 14% of genes that changed when these medications were given as single agents also changed when they were given together. These data indicate that lymphoid leukemia cells of different molecular subtypes share common pathways of genomic response to the same treatment, that changes in gene expression are treatment-specific and that gene expression can illuminate differences in cellular response to drug combinations versus single agents."}
{"STANDARD_NAME":"NELSON_RESPONSE_TO_ANDROGEN_DN","SYSTEMATIC_NAME":"M16830","ORGANISM":"Homo sapiens","PMID":"12185249","AUTHORS":"Nelson PS,Clegg N,Arnold H,Ferguson C,Bonham M,White J,Hood L,Lin B","EXACT_SOURCE":"Table 1S","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in LNCaP cells (prostate cancer) in response to synthetic androgen R1881 [PubChem=13766].","DESCRIPTION_FULL":"The human prostate gland is an important target organ of androgenic hormones. Testosterone and dihydrotestosterone interact with the androgen receptor to regulate vital aspects of prostate growth and function including cellular proliferation, differentiation, apoptosis, metabolism, and secretory activity. Our objective in this study was to characterize the temporal program of transcription that reflects the cellular response to androgens and to identify specific androgen-regulated genes (ARGs) or gene networks that participate in these responses. We used cDNA microarrays representing about 20,000 distinct human genes to profile androgen-responsive transcripts in the LNCaP adenocarcinoma cell line and identified 146 genes with transcript alterations more than 3-fold. Of these, 103 encode proteins with described functional roles, and 43 represent transcripts that have yet to be characterized. Temporal gene expression profiles grouped the ARGs into four distinct cohorts. Five uncharacterized ARGs demonstrated exclusive or high expression levels in the prostate relative to other tissues studied. A search of available DNA sequence upstream of 28 ARGs identified 25 with homology to the androgen response-element consensus-binding motif. These results identify previously uncharacterized and unsuspected genes whose expression levels are directly or indirectly regulated by androgens; further, they provide a comprehensive temporal view of the transcriptional program of human androgen-responsive cells."}
{"STANDARD_NAME":"TARTE_PLASMA_CELL_VS_B_LYMPHOCYTE_UP","SYSTEMATIC_NAME":"M4552","ORGANISM":"Homo sapiens","PMID":"12663452","AUTHORS":"Tarte K,Zhan F,De Vos J,Klein B,Shaughnessy J Jr","EXACT_SOURCE":"Table 3S","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kate Stafford","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in plasma cells compared with B lymphocytes.","DESCRIPTION_FULL":"Plasma cells (PCs), the end point of B-cell differentiation, are a heterogeneous cell compartment comprising several cell subsets from short-lived highly proliferative plasmablasts to long-lived nondividing fully mature PCs. Whereas the major transcription factors driving the differentiation of B cells to PCs were recently identified, the subtle genetic changes that underlie the transition from plasmablasts to mature PCs are poorly understood. We recently described an in vitro model making it possible to obtain a large number of cells with the morphologic, phenotypic, and functional characteristics of normal polyclonal plasmablastic cells (PPCs). Using Affymetrix microarrays we compared the gene expression profiles of these PPCs with those of mature PCs isolated from tonsils (TPCs) and bone marrow (BMPCs), and with those of B cells purified from peripheral blood (PBB cells) and tonsils (TBCs). Unsupervised principal component analysis clearly distinguished the 5 cell populations on the basis of their differentiation and proliferation status. Detailed statistical analysis allowed the identification of 85 PC genes and 40 B-cell genes, overexpressed, respectively, in the 3 PC subsets or in the 2 B-cell subsets. In addition, several signaling molecules and antiapoptotic proteins were found to be induced in BMPCs compared with PPCs and could be involved in the accumulation and prolonged survival of BMPCs in close contact with specialized stromal microenvironment. These data should help to better understand the molecular events that regulate commitment to a PC fate, mediate PC maintenance in survival niches, and could facilitate PC immortalization in plasma cell dyscrasias."}
{"STANDARD_NAME":"BYSTROEM_CORRELATED_WITH_IL5_DN","SYSTEMATIC_NAME":"M1401","ORGANISM":"Mus musculus","PMID":"14525773","AUTHORS":"Byström J,Wynn TA,Domachowske JB,Rosenberg HF","EXACT_SOURCE":"Tabke 1: indirect correlation","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kate Stafford","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes whose expression in bone marrow samples correlated inversely with increased levels of serum IL5 [GeneID=3567].","DESCRIPTION_FULL":"Interleukin-5 (IL-5) is a hematopoietic differentiation factor that promotes the development of mature eosinophils from progenitors in bone marrow. We present a multifactorial microarray study documenting the transcriptional events in bone marrow of wild-type and IL-5-deficient mice at baseline and in response to infection with Schistosoma mansoni. The microarray data were analyzed by a 4-way subtractive algorithm that eliminated confounding non-IL-5-related sequelae of schistosome infection as well as alterations in gene expression among uninfected mice. Among the most prominent findings, we observed 7- to 40-fold increased expression of transcripts encoding the classic eosinophil granule proteins (eosinophil peroxidase, major basic protein, the ribonucleases) together with arachidonate-15-lipoxygenase and protease inhibitor plasminogen activator inhibitor 2 (PAI-2), in the IL-5-producing, infected wild-type mice only. This was accompanied by increased transcription of genes involved in secretory protein biosynthesis and granule-vesicle formation. Interestingly, we did not detect increased expression of genes encoding eosinophil-related chemokine receptors (CCR1, CCR3) or members of the GATA or CCAAT/enhancer binding protein (C/EBP) transcription factor families. These data suggest that the IL-5-responsive progenitors in the mouse bone marrow are already significantly committed to the eosinophil lineage and that IL-5 promotes differentiation of these committed progenitors into cells with recognizable and characteristic cytoplasmic granules and granule proteins."}
{"STANDARD_NAME":"SWEET_KRAS_TARGETS_DN","SYSTEMATIC_NAME":"M4359","ORGANISM":"Homo sapiens","PMID":"15608639","AUTHORS":"Sweet-Cordero A,Mukherjee S,Subramanian A,You H,Roix JJ,Ladd-Acosta C,Mesirov J,Golub TR,Jacks T","GEOID":"GSE49200","EXACT_SOURCE":"unknown","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes upregulated in control vs KRAS [GeneID=3845] knockdown in a human cell line.","DESCRIPTION_FULL":"Using advanced gene targeting methods, generating mouse models of cancer that accurately reproduce the genetic alterations present in human tumors is now relatively straightforward. The challenge is to determine to what extent such models faithfully mimic human disease with respect to the underlying molecular mechanisms that accompany tumor progression. Here we describe a method for comparing mouse models of cancer with human tumors using gene-expression profiling. We applied this method to the analysis of a model of Kras2-mediated lung cancer and found a good relationship to human lung adenocarcinoma, thereby validating the model. Furthermore, we found that whereas a gene-expression signature of KRAS2 activation was not identifiable when analyzing human tumors with known KRAS2 mutation status alone, integrating mouse and human data uncovered a gene-expression signature of KRAS2 mutation in human lung cancer. We confirmed the importance of this signature by gene-expression analysis of short hairpin RNA-mediated inhibition of oncogenic Kras2. These experiments identified both a pattern of gene expression indicative of KRAS2 mutation and potential effectors of oncogenic KRAS2 activity in human cancer. This approach provides a strategy for using genomic analysis of animal models to probe human disease."}
{"STANDARD_NAME":"ROSS_AML_WITH_PML_RARA_FUSION","SYSTEMATIC_NAME":"M15368","ORGANISM":"Homo sapiens","PMID":"15226186","AUTHORS":"Ross ME,Mahfouz R,Onciu M,Liu HC,Zhou X,Song G,Shurtleff SA,Pounds S,Cheng C,Ma J,Ribeiro RC,Rubnitz JE,Girtman K,Williams WK,Raimondi SC,Liang DC,Shih LY,Pui CH,Downing JR","EXACT_SOURCE":"Table S8","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kate Stafford","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top 100 probe sets for pediatric acute myeloid leukemia (AML) subtype t(15;17): has PML RARA fusion [GeneID=5371;5914].","DESCRIPTION_FULL":"Contemporary treatment of pediatric acute myeloid leukemia (AML) requires the assignment of patients to specific risk groups. To explore whether expression profiling of leukemic blasts could accurately distinguish between the known risk groups of AML, we analyzed 130 pediatric and 20 adult AML diagnostic bone marrow or peripheral blood samples using the Affymetrix U133A microarray. Class discriminating genes were identified for each of the major prognostic subtypes of pediatric AML, including t(15;17)[PML-RARalpha], t(8;21)[AML1-ETO], inv(16) [CBFbeta-MYH11], MLL chimeric fusion genes, and cases classified as FAB-M7. When subsets of these genes were used in supervised learning algorithms, an overall classification accuracy of more than 93% was achieved. Moreover, we were able to use the expression signatures generated from the pediatric samples to accurately classify adult de novo AMLs with the same genetic lesions. The class discriminating genes also provided novel insights into the molecular pathobiology of these leukemias. Finally, using a combined pediatric data set of 130 AMLs and 137 acute lymphoblastic leukemias, we identified an expression signature for cases with MLL chimeric fusion genes irrespective of lineage. Surprisingly, AMLs containing partial tandem duplications of MLL failed to cluster with MLL chimeric fusion gene cases, suggesting a significant difference in their underlying mechanism of transformation."}
{"STANDARD_NAME":"LEI_HOXC8_TARGETS_UP","SYSTEMATIC_NAME":"M1402","ORGANISM":"Mus musculus","PMID":"15699330","AUTHORS":"Lei H,Wang H,Juan AH,Ruddle FH","EXACT_SOURCE":"Table 2: mRNA that increases in the overexpression of Hoxc8","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kate Stafford","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in MEF cells (embryonic fibroblasts) by overexpression of HOXC8 [GeneID=3224].","DESCRIPTION_FULL":"Hox genes encode transcription factors that control spatial patterning during embryogenesis. To date, downstream targets of Hox genes have proven difficult to identify. Here, we describe studies designed to identify target genes under the control of the murine transcription factor Hoxc8. We used a mouse 16,463 gene oligonucleotide microarray to identify mRNAs whose expression was altered by the overexpression of Hoxc8 in C57BL/6J mouse embryo fibroblasts (MEF) in cell culture (in vitro). We identified a total of 34 genes whose expression was changed by 2-fold or greater: 16 genes were up-regulated, and 18 genes were down-regulated. The majority of genes encoded proteins involved in critical biological processes, such as cell adhesion, migration, metabolism, apoptosis, and tumorigenesis. Two genes showed high levels of regulation: (i) secreted phosphoprotein 1 (Spp1), also known as osteopontin (OPN), was down-regulated 4.8-fold, and (ii) frizzled homolog 2 (Drosophila) (Fzd2) was up-regulated 4.4-fold. Chromatin immunoprecipitation (ChIP) analysis confirmed the direct interaction between the OPN promoter and Hoxc8 protein in vivo, supporting the view that OPN is a direct transcriptional target of Hoxc8."}
{"STANDARD_NAME":"PARK_HSC_VS_MULTIPOTENT_PROGENITORS_DN","SYSTEMATIC_NAME":"M1403","ORGANISM":"Mus musculus","PMID":"11781229","AUTHORS":"Park IK,He Y,Lin F,Laerum OD,Tian Q,Bumgarner R,Klug CA,Li K,Kuhr C,Doyle MJ,Xie T,Schummer M,Sun Y,Goldsmith A,Clarke MF,Weissman IL,Hood L,Li L","EXACT_SOURCE":"Table 2: low rhodamine (MPP)","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kate Stafford","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in long term hematopoietic stem cells (LT-HSC) compared to multipotent progenitor (MPP) cells.","DESCRIPTION_FULL":"Hematopoietic stem cells (HSCs) have self-renewal capacity and multilineage developmental potentials. The molecular mechanisms that control the self-renewal of HSCs are still largely unknown. Here, a systematic approach using bioinformatics and array hybridization techniques to analyze gene expression profiles in HSCs is described. To enrich mRNAs predominantly expressed in uncommitted cell lineages, 54 000 cDNA clones generated from a highly enriched population of HSCs and a mixed population of stem and early multipotent progenitor (MPP) cells were arrayed on nylon membranes (macroarray or high-density array), and subtracted with cDNA probes derived from mature lineage cells including spleen, thymus, and bone marrow. Five thousand cDNA clones with very low hybridization signals were selected for sequencing and further analysis using microarrays on glass slides. Two populations of cells, HSCs and MPP cells, were compared for differential gene expression using microarray analysis. HSCs have the ability to self-renew, while MPP cells have lost the capacity for self-renewal. A large number of genes that were differentially expressed by enriched populations of HSCs and MPP cells were identified. These included transcription factors, signaling molecules, and previously unknown genes."}
{"STANDARD_NAME":"ASTON_MAJOR_DEPRESSIVE_DISORDER_DN","SYSTEMATIC_NAME":"M11011","ORGANISM":"Homo sapiens","PMID":"15303102","AUTHORS":"Aston C,Jiang L,Sokolov BP","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jean Junior","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in the temporal cortex samples from patients with major depressive disorder.","DESCRIPTION_FULL":"Major depressive disorder is one of the most common and devastating psychiatric disorders. To identify candidate mechanisms for major depressive disorder, we compared gene expression in the temporal cortex from 12 patients with major depressive disorder and 14 matched controls using Affymetrix HgU95A microarrays. Significant expression changes were revealed in families of genes involved in neurodevelopment, signal transduction and cell communication. Among these, the expression of 17 genes related to oligodendrocyte function was significantly (P < 0.05, fold change > 1.4) decreased in patients with major depressive disorder. Eight of these 17 genes encode structural components of myelin (CNP, MAG, MAL, MOG, MOBP, PMP22, PLLP, PLP1). Five other genes encode enzymes involved in the synthesis of myelin constituents (ASPA, UGT8), or are essential in regulation of myelin formation (ENPP2, EDG2, TF, KLK6). One gene, that is, SOX10, encodes a transcription factor regulating other myelination-related genes. OLIG2 is a transcription factor present exclusively in oligodendrocytes and oligodendrocyte precursors. Another gene, ERBB3, is involved in oligodendrocyte differentiation. In addition to myelination-related genes, there were significant changes in multiple genes involved in axonal growth/synaptic function. These findings suggest that major depressive disorder may be associated with changes in cell communication and signal transduction mechanisms that contribute to abnormalities in oligodendroglia and synaptic function. Taken together with other studies, these findings indicate that major depressive disorder may share common oligodendroglial abnormalities with schizophrenia and bipolar disorder."}
{"STANDARD_NAME":"CHESLER_BRAIN_D6MIT150_QTL_CIS","SYSTEMATIC_NAME":"M12143","ORGANISM":"Mus musculus","PMID":"15711545","AUTHORS":"Chesler EJ,Lu L,Shou S,Qu Y,Gu J,Wang J,Hsu HC,Mountz JD,Baldwin NE,Langston MA,Threadgill DW,Manly KF,Williams RW","EXACT_SOURCE":"text on page 237","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jean Junior","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cis-regulatory QTLs (quantitative trait loci) found at the D6Mit150 region.","DESCRIPTION_FULL":"Patterns of gene expression in the central nervous system are highly variable and heritable. This genetic variation among normal individuals leads to considerable structural, functional and behavioral differences. We devised a general approach to dissect genetic networks systematically across biological scale, from base pairs to behavior, using a reference population of recombinant inbred strains. We profiled gene expression using Affymetrix oligonucleotide arrays in the BXD recombinant inbred strains, for which we have extensive SNP and haplotype data. We integrated a complementary database comprising 25 years of legacy phenotypic data on these strains. Covariance among gene expression and pharmacological and behavioral traits is often highly significant, corroborates known functional relations and is often generated by common quantitative trait loci. We found that a small number of major-effect quantitative trait loci jointly modulated large sets of transcripts and classical neural phenotypes in patterns specific to each tissue. We developed new analytic and graph theoretical approaches to study shared genetic modulation of networks of traits using gene sets involved in neural synapse function as an example. We built these tools into an open web resource called WebQTL that can be used to test a broad array of hypotheses."}
{"STANDARD_NAME":"SHIPP_DLBCL_CURED_VS_FATAL_DN","SYSTEMATIC_NAME":"M11685","ORGANISM":"Homo sapiens","PMID":"11786909","AUTHORS":"Shipp MA,Ross KN,Tamayo P,Weng AP,Kutok JL,Aguiar RC,Gaasenbeek M,Angelo M,Reich M,Pinkus GS,Ray TS,Koval MA,Last KW,Norton A,Lister TA,Mesirov J,Neuberg DS,Lander ES,Aster JC,Golub TR","EXACT_SOURCE":"Suppl. Data: section 3; DLBCL Cured versus Fatal/Refractory Distinction; Distinction = fatal/ref.","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jean Junior","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top 50 down-regulated markers for the diffused large B-cell lymphoma (DLBCL) that distinguished between cured and fatal/refractory clinical outcomes.","DESCRIPTION_FULL":"Diffuse large B-cell lymphoma (DLBCL), the most common lymphoid malignancy in adults, is curable in less than 50% of patients. Prognostic models based on pre-treatment characteristics, such as the International Prognostic Index (IPI), are currently used to predict outcome in DLBCL. However, clinical outcome models identify neither the molecular basis of clinical heterogeneity, nor specific therapeutic targets. We analyzed the expression of 6,817 genes in diagnostic tumor specimens from DLBCL patients who received cyclophosphamide, adriamycin, vincristine and prednisone (CHOP)-based chemotherapy, and applied a supervised learning prediction method to identify cured versus fatal or refractory disease. The algorithm classified two categories of patients with very different five-year overall survival rates (70% versus 12%). The model also effectively delineated patients within specific IPI risk categories who were likely to be cured or to die of their disease. Genes implicated in DLBCL outcome included some that regulate responses to B-cell-receptor signaling, critical serine/threonine phosphorylation pathways and apoptosis. Our data indicate that supervised learning classification techniques can predict outcome in DLBCL and identify rational targets for intervention."}
{"STANDARD_NAME":"BYSTRYKH_HEMATOPOIESIS_STEM_CELL_FGF3","SYSTEMATIC_NAME":"M10331","ORGANISM":"Mus musculus","PMID":"15711547","AUTHORS":"Bystrykh L,Weersing E,Dontje B,Sutton S,Pletcher MT,Wiltshire T,Su AI,Vellenga E,Wang J,Manly KF,Lu L,Chesler EJ,Alberts R,Jansen RC,Williams RW,Cooke MP,de Haan G","GEOID":"GSE2031","EXACT_SOURCE":"Table 3: Fgf3","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jean Junior","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes whose expression is coregulated with that of FGF3 [GeneID=2248] in hematopoietic stem cells (HSC).","DESCRIPTION_FULL":"We combined large-scale mRNA expression analysis and gene mapping to identify genes and loci that control hematopoietic stem cell (HSC) function. We measured mRNA expression levels in purified HSCs isolated from a panel of densely genotyped recombinant inbred mouse strains. We mapped quantitative trait loci (QTLs) associated with variation in expression of thousands of transcripts. By comparing the physical transcript position with the location of the controlling QTL, we identified polymorphic cis-acting stem cell genes. We also identified multiple trans-acting control loci that modify expression of large numbers of genes. These groups of coregulated transcripts identify pathways that specify variation in stem cells. We illustrate this concept with the identification of candidate genes involved with HSC turnover. We compared expression QTLs in HSCs and brain from the same mice and identified both shared and tissue-specific QTLs. Our data are accessible through WebQTL, a web-based interface that allows custom genetic linkage analysis and identification of coregulated transcripts."}
{"STANDARD_NAME":"GOLUB_ALL_VS_AML_UP","SYSTEMATIC_NAME":"M4275","ORGANISM":"Homo sapiens","PMID":"10521349","AUTHORS":"Golub TR,Slonim DK,Tamayo P,Huard C,Gaasenbeek M,Mesirov JP,Coller H,Loh ML,Downing JR,Caligiuri MA,Bloomfield CD,Lander ES","EXACT_SOURCE":"Fig 3b: red in ALL","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jean Junior","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Up-regulated genes highly correlated with acute lymphoblastic leukemia (ALL) vs acute myeloid leukemia (AML).","DESCRIPTION_FULL":"Although cancer classification has improved over the past 30 years, there has been no general approach for identifying new cancer classes (class discovery) or for assigning tumors to known classes (class prediction). Here, a generic approach to cancer classification based on gene expression monitoring by DNA microarrays is described and applied to human acute leukemias as a test case. A class discovery procedure automatically discovered the distinction between acute myeloid leukemia (AML) and acute lymphoblastic leukemia (ALL) without previous knowledge of these classes. An automatically derived class predictor was able to determine the class of new leukemia cases. The results demonstrate the feasibility of cancer classification based solely on gene expression monitoring and suggest a general strategy for discovering and predicting cancer classes for other types of cancer, independent of previous biological knowledge."}
{"STANDARD_NAME":"BYSTRYKH_HEMATOPOIESIS_STEM_CELL_QTL_CIS","SYSTEMATIC_NAME":"M8699","ORGANISM":"Mus musculus","PMID":"15711547","AUTHORS":"Bystrykh L,Weersing E,Dontje B,Sutton S,Pletcher MT,Wiltshire T,Su AI,Vellenga E,Wang J,Manly KF,Lu L,Chesler EJ,Alberts R,Jansen RC,Williams RW,Cooke MP,de Haan G","GEOID":"GSE2031","EXACT_SOURCE":"Table 2S","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jean Junior","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Transcripts in hematopoietic stem cells (HSC) which are cis-regulated (i.e., modulated by a QTL (quantitative trait locus) in close proximity to the gene).","DESCRIPTION_FULL":"We combined large-scale mRNA expression analysis and gene mapping to identify genes and loci that control hematopoietic stem cell (HSC) function. We measured mRNA expression levels in purified HSCs isolated from a panel of densely genotyped recombinant inbred mouse strains. We mapped quantitative trait loci (QTLs) associated with variation in expression of thousands of transcripts. By comparing the physical transcript position with the location of the controlling QTL, we identified polymorphic cis-acting stem cell genes. We also identified multiple trans-acting control loci that modify expression of large numbers of genes. These groups of coregulated transcripts identify pathways that specify variation in stem cells. We illustrate this concept with the identification of candidate genes involved with HSC turnover. We compared expression QTLs in HSCs and brain from the same mice and identified both shared and tissue-specific QTLs. Our data are accessible through WebQTL, a web-based interface that allows custom genetic linkage analysis and identification of coregulated transcripts."}
{"STANDARD_NAME":"SCHUHMACHER_MYC_TARGETS_DN","SYSTEMATIC_NAME":"M969","ORGANISM":"Homo sapiens","PMID":"11139609","AUTHORS":"Schuhmacher M,Kohlhuber F,Hölzel M,Kaiser C,Burtscher H,Jarsch M,Bornkamm GW,Laux G,Polack A,Weidle UH,Eick D","EXACT_SOURCE":"Table 1","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes down-regulated in P493-6 cells (Burkitt's lymphoma) induced to express MYC [GeneID=4609].","DESCRIPTION_FULL":"The proto-oncogene c-myc (myc) encodes a transcription factor (Myc) that promotes growth, proliferation and apoptosis. Myc has been suggested to induce these effects by induction/repression of downstream genes. Here we report the identification of potential Myc target genes in a human B cell line that grows and proliferates depending on conditional myc expression. Oligonucleotide microarrays were applied to identify downstream genes of Myc at the level of cytoplasmic mRNA. In addition, we identified potential Myc target genes in nuclear run-on experiments by changes in their transcription rate. The identified genes belong to gene classes whose products are involved in amino acid/protein synthesis, lipid metabolism, protein turnover/folding, nucleotide/DNA synthesis, transport, nucleolus function/RNA binding, transcription and splicing, oxidative stress and signal transduction. The identified targets support our current view that myc acts as a master gene for growth control and increases transcription of a large variety of genes."}
{"STANDARD_NAME":"LEI_HOXC8_TARGETS_DN","SYSTEMATIC_NAME":"M1404","ORGANISM":"Mus musculus","PMID":"15699330","AUTHORS":"Lei H,Wang H,Juan AH,Ruddle FH","EXACT_SOURCE":"Table 2: mRNA that decreases in the overexpression of Hoxc8","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kate Stafford","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in MEF cells (embryonic fibroblasts) by overexpression of HOXC8 [GeneID=3224].","DESCRIPTION_FULL":"Hox genes encode transcription factors that control spatial patterning during embryogenesis. To date, downstream targets of Hox genes have proven difficult to identify. Here, we describe studies designed to identify target genes under the control of the murine transcription factor Hoxc8. We used a mouse 16,463 gene oligonucleotide microarray to identify mRNAs whose expression was altered by the overexpression of Hoxc8 in C57BL/6J mouse embryo fibroblasts (MEF) in cell culture (in vitro). We identified a total of 34 genes whose expression was changed by 2-fold or greater: 16 genes were up-regulated, and 18 genes were down-regulated. The majority of genes encoded proteins involved in critical biological processes, such as cell adhesion, migration, metabolism, apoptosis, and tumorigenesis. Two genes showed high levels of regulation: (i) secreted phosphoprotein 1 (Spp1), also known as osteopontin (OPN), was down-regulated 4.8-fold, and (ii) frizzled homolog 2 (Drosophila) (Fzd2) was up-regulated 4.4-fold. Chromatin immunoprecipitation (ChIP) analysis confirmed the direct interaction between the OPN promoter and Hoxc8 protein in vivo, supporting the view that OPN is a direct transcriptional target of Hoxc8."}
{"STANDARD_NAME":"CHESLER_BRAIN_QTL_CIS","SYSTEMATIC_NAME":"M17500","ORGANISM":"Mus musculus","PMID":"15711545","AUTHORS":"Chesler EJ,Lu L,Shou S,Qu Y,Gu J,Wang J,Hsu HC,Mountz JD,Baldwin NE,Langston MA,Threadgill DW,Manly KF,Williams RW","EXACT_SOURCE":"Table 2S: CIS REGULATED TRANSCRIPTS","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jean Junior","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Best cis-regulated quantitative trait loci (QTLs) in the mouse genome which modulate transcription in brain tissue.","DESCRIPTION_FULL":"Patterns of gene expression in the central nervous system are highly variable and heritable. This genetic variation among normal individuals leads to considerable structural, functional and behavioral differences. We devised a general approach to dissect genetic networks systematically across biological scale, from base pairs to behavior, using a reference population of recombinant inbred strains. We profiled gene expression using Affymetrix oligonucleotide arrays in the BXD recombinant inbred strains, for which we have extensive SNP and haplotype data. We integrated a complementary database comprising 25 years of legacy phenotypic data on these strains. Covariance among gene expression and pharmacological and behavioral traits is often highly significant, corroborates known functional relations and is often generated by common quantitative trait loci. We found that a small number of major-effect quantitative trait loci jointly modulated large sets of transcripts and classical neural phenotypes in patterns specific to each tissue. We developed new analytic and graph theoretical approaches to study shared genetic modulation of networks of traits using gene sets involved in neural synapse function as an example. We built these tools into an open web resource called WebQTL that can be used to test a broad array of hypotheses."}
{"STANDARD_NAME":"ROSS_AML_WITH_CBFB_MYH11_FUSION","SYSTEMATIC_NAME":"M5236","ORGANISM":"Homo sapiens","PMID":"15226186","AUTHORS":"Ross ME,Mahfouz R,Onciu M,Liu HC,Zhou X,Song G,Shurtleff SA,Pounds S,Cheng C,Ma J,Ribeiro RC,Rubnitz JE,Girtman K,Williams WK,Raimondi SC,Liang DC,Shih LY,Pui CH,Downing JR","EXACT_SOURCE":"Table S9","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kate Stafford","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top 63 probe sets for pediatric acute myeloid leukemia (AML) subtype inv(16); has a CBFB-MYH11 fusion [GeneID=865;4629].","DESCRIPTION_FULL":"Contemporary treatment of pediatric acute myeloid leukemia (AML) requires the assignment of patients to specific risk groups. To explore whether expression profiling of leukemic blasts could accurately distinguish between the known risk groups of AML, we analyzed 130 pediatric and 20 adult AML diagnostic bone marrow or peripheral blood samples using the Affymetrix U133A microarray. Class discriminating genes were identified for each of the major prognostic subtypes of pediatric AML, including t(15;17)[PML-RARalpha], t(8;21)[AML1-ETO], inv(16) [CBFbeta-MYH11], MLL chimeric fusion genes, and cases classified as FAB-M7. When subsets of these genes were used in supervised learning algorithms, an overall classification accuracy of more than 93% was achieved. Moreover, we were able to use the expression signatures generated from the pediatric samples to accurately classify adult de novo AMLs with the same genetic lesions. The class discriminating genes also provided novel insights into the molecular pathobiology of these leukemias. Finally, using a combined pediatric data set of 130 AMLs and 137 acute lymphoblastic leukemias, we identified an expression signature for cases with MLL chimeric fusion genes irrespective of lineage. Surprisingly, AMLs containing partial tandem duplications of MLL failed to cluster with MLL chimeric fusion gene cases, suggesting a significant difference in their underlying mechanism of transformation."}
{"STANDARD_NAME":"IIZUKA_LIVER_CANCER_PROGRESSION_L0_L1_UP","SYSTEMATIC_NAME":"M2152","ORGANISM":"Homo sapiens","PMID":"15710396","AUTHORS":"Iizuka N,Oka M,Yamada-Okabe H,Mori N,Tamesa T,Okada T,Takemoto N,Sakamoto K,Hamada K,Ishitsuka H,Miyamoto T,Uchimura S,Hamamoto Y","EXACT_SOURCE":"Table 2: genes downregulated in L1 in comparison with L0","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes up-regulated during transition from L0 (non-tumor, not infected with HCV) to L1 (non-tumor, infected with HCV) in the development of hepatocellular carcinoma.","DESCRIPTION_FULL":"Using high-density oligonucleotide array, we comprehensively analyzed expression levels of 12600 genes in 50 hepatocellular carcinoma (HCC) samples with positive hepatitis C virus (HCV) serology (well (G1), moderately (G2), and poorly (G3) differentiated tumors) and 11 non-tumorous livers (L1 and L0) with and without HCV infection. We searched for discriminatory genes of transition (L0 vs. L1, L1 vs. G1, G1 vs. G2, G2 vs. G3) with a supervised learning method, and then arranged the samples by self-organizing map (SOM) with the discriminatory gene sets. The SOM arranged the five clusters on a unique sigmoidal curve in the order L0, L1, G1, G2, and G3. The sample arrangement reproduced development-related features of HCC such as p53 abnormality. Strikingly, G2 tumors without venous invasion were located closer to the G1 cluster, and most G2 tumors with venous invasion were located closer to the G3 cluster (P=0.001 by Fisher's exact test). Our present profiling data will serve as a framework to understand the relation between the development and dedifferentiation of HCC."}
{"STANDARD_NAME":"IIZUKA_LIVER_CANCER_PROGRESSION_L1_G1_DN","SYSTEMATIC_NAME":"M8659","ORGANISM":"Homo sapiens","PMID":"15710396","AUTHORS":"Iizuka N,Oka M,Yamada-Okabe H,Mori N,Tamesa T,Okada T,Takemoto N,Sakamoto K,Hamada K,Ishitsuka H,Miyamoto T,Uchimura S,Hamamoto Y","EXACT_SOURCE":"Table 3: genes upregulated in G1 in comparison with L1","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes down-regulated during transition from L1 (non-tumor, infected with HCV) to G1 (well differentiated tumor, infected with HCV) in the development of hepatocellular carcinoma.","DESCRIPTION_FULL":"Using high-density oligonucleotide array, we comprehensively analyzed expression levels of 12600 genes in 50 hepatocellular carcinoma (HCC) samples with positive hepatitis C virus (HCV) serology (well (G1), moderately (G2), and poorly (G3) differentiated tumors) and 11 non-tumorous livers (L1 and L0) with and without HCV infection. We searched for discriminatory genes of transition (L0 vs. L1, L1 vs. G1, G1 vs. G2, G2 vs. G3) with a supervised learning method, and then arranged the samples by self-organizing map (SOM) with the discriminatory gene sets. The SOM arranged the five clusters on a unique sigmoidal curve in the order L0, L1, G1, G2, and G3. The sample arrangement reproduced development-related features of HCC such as p53 abnormality. Strikingly, G2 tumors without venous invasion were located closer to the G1 cluster, and most G2 tumors with venous invasion were located closer to the G3 cluster (P=0.001 by Fisher's exact test). Our present profiling data will serve as a framework to understand the relation between the development and dedifferentiation of HCC."}
{"STANDARD_NAME":"FERRANDO_TAL1_NEIGHBORS","SYSTEMATIC_NAME":"M1007","ORGANISM":"Homo sapiens","PMID":"12086890","AUTHORS":"Ferrando AA,Neuberg DS,Staunton J,Loh ML,Huard C,Raimondi SC,Behm FG,Pui CH,Downing JR,Gilliland DG,Lander ES,Golub TR,Look AT","EXACT_SOURCE":"Fig 2: the TAL1+ panel","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jean Junior","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Nearest neighbors of TAL1 [GeneID=6886], based on the close agreement of their expression profiles with that of TAL1 in pediatric T cell acute lymphoblastic leukemia (T-ALL)","DESCRIPTION_FULL":"Human T cell leukemias can arise from oncogenes activated by specific chromosomal translocations involving the T cell receptor genes. Here we show that five different T cell oncogenes (HOX11, TAL1, LYL1, LMO1, and LMO2) are often aberrantly expressed in the absence of chromosomal abnormalities. Using oligonucleotide microarrays, we identified several gene expression signatures that were indicative of leukemic arrest at specific stages of normal thymocyte development: LYL1+ signature (pro-T), HOX11+ (early cortical thymocyte), and TAL1+ (late cortical thymocyte). Hierarchical clustering analysis of gene expression signatures grouped samples according to their shared oncogenic pathways and identified HOX11L2 activation as a novel event in T cell leukemogenesis. These findings have clinical importance, since HOX11 activation is significantly associated with a favorable prognosis, while expression of TAL1, LYL1, or, surprisingly, HOX11L2 confers a much worse response to treatment. Our results illustrate the power of gene expression profiles to elucidate transformation pathways relevant to human leukemia."}
{"STANDARD_NAME":"BYSTRYKH_HEMATOPOIESIS_STEM_CELL_AND_BRAIN_QTL_TRANS","SYSTEMATIC_NAME":"M14242","ORGANISM":"Mus musculus","PMID":"15711547","AUTHORS":"Bystrykh L,Weersing E,Dontje B,Sutton S,Pletcher MT,Wiltshire T,Su AI,Vellenga E,Wang J,Manly KF,Lu L,Chesler EJ,Alberts R,Jansen RC,Williams RW,Cooke MP,de Haan G","GEOID":"GSE2031","EXACT_SOURCE":"Table 5S","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jean Junior","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes trans-regulated by the same QTL (quantitative trait loci) in brain and hematopoietic stem cells (HSC).","DESCRIPTION_FULL":"We combined large-scale mRNA expression analysis and gene mapping to identify genes and loci that control hematopoietic stem cell (HSC) function. We measured mRNA expression levels in purified HSCs isolated from a panel of densely genotyped recombinant inbred mouse strains. We mapped quantitative trait loci (QTLs) associated with variation in expression of thousands of transcripts. By comparing the physical transcript position with the location of the controlling QTL, we identified polymorphic cis-acting stem cell genes. We also identified multiple trans-acting control loci that modify expression of large numbers of genes. These groups of coregulated transcripts identify pathways that specify variation in stem cells. We illustrate this concept with the identification of candidate genes involved with HSC turnover. We compared expression QTLs in HSCs and brain from the same mice and identified both shared and tissue-specific QTLs. Our data are accessible through WebQTL, a web-based interface that allows custom genetic linkage analysis and identification of coregulated transcripts."}
{"STANDARD_NAME":"IIZUKA_LIVER_CANCER_PROGRESSION_G1_G2_DN","SYSTEMATIC_NAME":"M16374","ORGANISM":"Homo sapiens","PMID":"15710396","AUTHORS":"Iizuka N,Oka M,Yamada-Okabe H,Mori N,Tamesa T,Okada T,Takemoto N,Sakamoto K,Hamada K,Ishitsuka H,Miyamoto T,Uchimura S,Hamamoto Y","EXACT_SOURCE":"Table 4: genes upregulated in G2 in comparison with G1","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes down-regulated during transition from G1 (well differentiated tumor, infected with HCV) to G2 (moderately differentiated tumor, infected with HCV) in the development of hepatocellular carcinoma.","DESCRIPTION_FULL":"Using high-density oligonucleotide array, we comprehensively analyzed expression levels of 12600 genes in 50 hepatocellular carcinoma (HCC) samples with positive hepatitis C virus (HCV) serology (well (G1), moderately (G2), and poorly (G3) differentiated tumors) and 11 non-tumorous livers (L1 and L0) with and without HCV infection. We searched for discriminatory genes of transition (L0 vs. L1, L1 vs. G1, G1 vs. G2, G2 vs. G3) with a supervised learning method, and then arranged the samples by self-organizing map (SOM) with the discriminatory gene sets. The SOM arranged the five clusters on a unique sigmoidal curve in the order L0, L1, G1, G2, and G3. The sample arrangement reproduced development-related features of HCC such as p53 abnormality. Strikingly, G2 tumors without venous invasion were located closer to the G1 cluster, and most G2 tumors with venous invasion were located closer to the G3 cluster (P=0.001 by Fisher's exact test). Our present profiling data will serve as a framework to understand the relation between the development and dedifferentiation of HCC."}
{"STANDARD_NAME":"GOLDRATH_HOMEOSTATIC_PROLIFERATION","SYSTEMATIC_NAME":"M3592","ORGANISM":"Mus musculus","PMID":"15548615","AUTHORS":"Goldrath AW,Luckey CJ,Park R,Benoist C,Mathis D","GEOID":"GSE1921","EXACT_SOURCE":"Table 5S","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kate Stafford","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Up-regulated in CD8+ [GeneID=925] T lymphocytes undergoing homeostatic proliferation (HP) versus the naive cells; these genes are not up-regulated versus effector or memory cell population.","DESCRIPTION_FULL":"Naive T cells proliferate independently of cognate antigen when introduced into lymphopenic hosts. Lymphopenia-induced proliferation depends on low-affinity MHC/self-peptide complexes and on IL-7. To elucidate the intracellular signals mediating this proliferation, we analyzed changes in gene expression in naive CD8+ T cells at different times after their transfer into a lymphopenic environment. The genes induced in response to lymphopenia were largely an attenuated subset of those turned up by full antigenic stimulation, including genes related to cell cycling, whereas excluding genes specifically associated with effector activity. After the initial phase of proliferation in an empty compartment, the naive T cells adopted a stable pattern of gene expression similar to that of antigen-experienced memory cells. Thus, T cells proliferating in lymphopenic hosts do not exhibit a unique gene-expression profile, instead relying on traditional signals for this antigen-independent proliferation; this process ultimately results in differentiation to authentic memory cells."}
{"STANDARD_NAME":"GNATENKO_PLATELET_SIGNATURE","SYSTEMATIC_NAME":"M15669","ORGANISM":"Homo sapiens","PMID":"12433680","AUTHORS":"Gnatenko DV,Dunn JJ,McCorkle SR,Weissmann D,Perrotta PL,Bahou WF","EXACT_SOURCE":"Table 2","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kate Stafford","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top 50 most up-regulated genes in human platelet cells.","DESCRIPTION_FULL":"Human platelets are anucleate blood cells that retain cytoplasmic mRNA and maintain functionally intact protein translational capabilities. We have adapted complementary techniques of microarray and serial analysis of gene expression (SAGE) for genetic profiling of highly purified human blood platelets. Microarray analysis using the Affymetrix HG-U95Av2 approximately 12 600-probe set maximally identified the expression of 2147 (range, 13%-17%) platelet-expressed transcripts, with approximately 22% collectively involved in metabolism and receptor/signaling, and an overrepresentation of genes with unassigned function (32%). In contrast, a modified SAGE protocol using the Type IIS restriction enzyme MmeI (generating 21-base pair [bp] or 22-bp tags) demonstrated that 89% of tags represented mitochondrial (mt) transcripts (enriched in 16S and 12S ribosomal RNAs), presumably related to persistent mt-transcription in the absence of nuclear-derived transcripts. The frequency of non-mt SAGE tags paralleled average difference values (relative expression) for the most abundant transcripts as determined by microarray analysis, establishing the concordance of both techniques for platelet profiling. Quantitative reverse transcription-polymerase chain reaction (PCR) confirmed the highest frequency of mt-derived transcripts, along with the mRNAs for neurogranin (NGN, a protein kinase C substrate) and the complement lysis inhibitor clusterin among the top 5 most abundant transcripts. For confirmatory characterization, immunoblots and flow cytometric analyses were performed, establishing abundant cell-surface expression of clusterin and intracellular expression of NGN. These observations demonstrate a strong correlation between high transcript abundance and protein expression, and they establish the validity of transcript analysis as a tool for identifying novel platelet proteins that may regulate normal and pathologic platelet (and/or megakaryocyte) functions."}
{"STANDARD_NAME":"KIM_GERMINAL_CENTER_T_HELPER_UP","SYSTEMATIC_NAME":"M1405","ORGANISM":"Homo sapiens","PMID":"15213097","AUTHORS":"Kim CH,Lim HW,Kim JR,Rott L,Hillsamer P,Butcher EC","EXACT_SOURCE":"Table 1S","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kate Stafford","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in germinal center T helper cells compared to other CD4+ [GeneID=920] T lymphocyte types.","DESCRIPTION_FULL":"Gene expression profiling was used to compare the gene expression patterns of human germinal center (GC) T helper (Th) cells with other CD4+ T-cell subsets (naive, central, and effector memory T cells). GC-Th cells, specifically localized in germinal centers to help B cells, are distantly related to central and effector memory T cells in global gene expression profiles. GC-Th cells displayed substantial differences in mRNA for adhesion molecules, chemoattractant receptors, and cytokines compared with other populations. Distinct expression of transcriptional factors by GC-Th cells is consistent with the hypothesis that they may be different from other T cells in cell lineage. Interestingly, CXCL13, a critical chemokine for B-cell entry to lymphoid follicles, is one of the most highly up-regulated genes in GC-Th cells. GC-Th cells (but not other T cells) produce and secrete large amounts of functional CXCL13 upon T-cell receptor activation, a process that is dependent on costimulation, requires translation and transcription, and is dramatically enhanced by activation in the presence of GC-B cells. This study revealed for the first time the unique gene expression program of GC-Th cells."}
{"STANDARD_NAME":"BYSTRYKH_HEMATOPOIESIS_STEM_CELL_AND_BRAIN_QTL_CIS","SYSTEMATIC_NAME":"M13133","ORGANISM":"Mus musculus","PMID":"15711547","AUTHORS":"Bystrykh L,Weersing E,Dontje B,Sutton S,Pletcher MT,Wiltshire T,Su AI,Vellenga E,Wang J,Manly KF,Lu L,Chesler EJ,Alberts R,Jansen RC,Williams RW,Cooke MP,de Haan G","GEOID":"GSE2031","EXACT_SOURCE":"Table 4S","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jean Junior","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes associated with the same cis-regulatory QTL (quantitative trait loci) in both brain and hematopoietic stem cells (HSC).","DESCRIPTION_FULL":"We combined large-scale mRNA expression analysis and gene mapping to identify genes and loci that control hematopoietic stem cell (HSC) function. We measured mRNA expression levels in purified HSCs isolated from a panel of densely genotyped recombinant inbred mouse strains. We mapped quantitative trait loci (QTLs) associated with variation in expression of thousands of transcripts. By comparing the physical transcript position with the location of the controlling QTL, we identified polymorphic cis-acting stem cell genes. We also identified multiple trans-acting control loci that modify expression of large numbers of genes. These groups of coregulated transcripts identify pathways that specify variation in stem cells. We illustrate this concept with the identification of candidate genes involved with HSC turnover. We compared expression QTLs in HSCs and brain from the same mice and identified both shared and tissue-specific QTLs. Our data are accessible through WebQTL, a web-based interface that allows custom genetic linkage analysis and identification of coregulated transcripts."}
{"STANDARD_NAME":"LEE_LIVER_CANCER_MYC_UP","SYSTEMATIC_NAME":"M2742","ORGANISM":"Mus musculus","PMID":"15565109","AUTHORS":"Lee JS,Chu IS,Mikaelyan A,Calvisi DF,Heo J,Reddy JK,Thorgeirsson SS","GEOID":"GSE1897","EXACT_SOURCE":"GSE1897: top 100 up-regulated in Myc; converted to human orthologs","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes up-regulated in hepatocellular carcinoma (HCC) induced by overexpression of MYC [GeneID=4609].","DESCRIPTION_FULL":"Genetically modified mice have been extensively used for analyzing the molecular events that occur during tumor development. In many, if not all, cases, however, it is uncertain to what extent the mouse models reproduce features observed in the corresponding human conditions. This is due largely to lack of precise methods for direct and comprehensive comparison at the molecular level of the mouse and human tumors. Here we use global gene expression patterns of 68 hepatocellular carcinomas (HCCs) from seven different mouse models and 91 human HCCs from predefined subclasses to obtain direct comparison of the molecular features of mouse and human HCCs. Gene expression patterns in HCCs from Myc, E2f1 and Myc E2f1 transgenic mice were most similar to those of the better survival group of human HCCs, whereas the expression patterns in HCCs from Myc Tgfa transgenic mice and in diethylnitrosamine-induced mouse HCCs were most similar to those of the poorer survival group of human HCCs. Gene expression patterns in HCCs from Acox1(-/-) mice and in ciprofibrate-induced HCCs were least similar to those observed in human HCCs. We conclude that our approach can effectively identify appropriate mouse models to study human cancers."}
{"STANDARD_NAME":"IIZUKA_LIVER_CANCER_PROGRESSION_L0_L1_DN","SYSTEMATIC_NAME":"M16962","ORGANISM":"Homo sapiens","PMID":"15710396","AUTHORS":"Iizuka N,Oka M,Yamada-Okabe H,Mori N,Tamesa T,Okada T,Takemoto N,Sakamoto K,Hamada K,Ishitsuka H,Miyamoto T,Uchimura S,Hamamoto Y","EXACT_SOURCE":"Table 2: genes upregulated in L1 in comparison with L0","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes down-regulated during transition from L0 (non-tumor, not infected with HCV) to L1 (non-tumor, infected with HCV) in the development of hepatocellular carcinoma.","DESCRIPTION_FULL":"Using high-density oligonucleotide array, we comprehensively analyzed expression levels of 12600 genes in 50 hepatocellular carcinoma (HCC) samples with positive hepatitis C virus (HCV) serology (well (G1), moderately (G2), and poorly (G3) differentiated tumors) and 11 non-tumorous livers (L1 and L0) with and without HCV infection. We searched for discriminatory genes of transition (L0 vs. L1, L1 vs. G1, G1 vs. G2, G2 vs. G3) with a supervised learning method, and then arranged the samples by self-organizing map (SOM) with the discriminatory gene sets. The SOM arranged the five clusters on a unique sigmoidal curve in the order L0, L1, G1, G2, and G3. The sample arrangement reproduced development-related features of HCC such as p53 abnormality. Strikingly, G2 tumors without venous invasion were located closer to the G1 cluster, and most G2 tumors with venous invasion were located closer to the G3 cluster (P=0.001 by Fisher's exact test). Our present profiling data will serve as a framework to understand the relation between the development and dedifferentiation of HCC."}
{"STANDARD_NAME":"LEE_LIVER_CANCER_MYC_TGFA_UP","SYSTEMATIC_NAME":"M3432","ORGANISM":"Mus musculus","PMID":"15565109","AUTHORS":"Lee JS,Chu IS,Mikaelyan A,Calvisi DF,Heo J,Reddy JK,Thorgeirsson SS","GEOID":"GSE1897","EXACT_SOURCE":"GSE1897: top 100 up-regulated in Myc/Tgfa; convertied to human orthologs","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes up-regulated in hepatocellular carcinoma (HCC) tissue of MYC and TGFA [GeneID=4609;7039] double transgenic mice.","DESCRIPTION_FULL":"Genetically modified mice have been extensively used for analyzing the molecular events that occur during tumor development. In many, if not all, cases, however, it is uncertain to what extent the mouse models reproduce features observed in the corresponding human conditions. This is due largely to lack of precise methods for direct and comprehensive comparison at the molecular level of the mouse and human tumors. Here we use global gene expression patterns of 68 hepatocellular carcinomas (HCCs) from seven different mouse models and 91 human HCCs from predefined subclasses to obtain direct comparison of the molecular features of mouse and human HCCs. Gene expression patterns in HCCs from Myc, E2f1 and Myc E2f1 transgenic mice were most similar to those of the better survival group of human HCCs, whereas the expression patterns in HCCs from Myc Tgfa transgenic mice and in diethylnitrosamine-induced mouse HCCs were most similar to those of the poorer survival group of human HCCs. Gene expression patterns in HCCs from Acox1(-/-) mice and in ciprofibrate-induced HCCs were least similar to those observed in human HCCs. We conclude that our approach can effectively identify appropriate mouse models to study human cancers."}
{"STANDARD_NAME":"FLECHNER_PBL_KIDNEY_TRANSPLANT_OK_VS_DONOR_DN","SYSTEMATIC_NAME":"M9905","ORGANISM":"Homo sapiens","PMID":"15307835","AUTHORS":"Flechner SM,Kurian SM,Head SR,Sharp SM,Whisenant TC,Zhang J,Chismar JD,Horvath S,Mondala T,Gilmartin T,Cook DJ,Kay SA,Walker JR,Salomon DR","GEOID":"GSE1563","EXACT_SOURCE":"Final annotated Gene list PBL C vs Tx down in Tx","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jean Junior","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes downregulated in peripheral blood lymphocytes (PBL) from patients with well functioning kidneys more than 1-year post transplant compared to those from normal living kidney donors.","DESCRIPTION_FULL":"A major challenge for kidney transplantation is balancing the need for immunosuppression to prevent rejection, while minimizing drug-induced toxicities. We used DNA microarrays (HG-U95Av2 GeneChips, Affymetrix) to determine gene expression profiles for kidney biopsies and peripheral blood lymphocytes (PBLs) in transplant patients including normal donor kidneys, well-functioning transplants without rejection, kidneys undergoing acute rejection, and transplants with renal dysfunction without rejection. We developed a data analysis schema based on expression signal determination, class comparison and prediction, hierarchical clustering, statistical power analysis and real-time quantitative PCR validation. We identified distinct gene expression signatures for both biopsies and PBLs that correlated significantly with each of the different classes of transplant patients. This is the most complete report to date using commercial arrays to identify unique expression signatures in transplant biopsies distinguishing acute rejection, acute dysfunction without rejection and well-functioning transplants with no rejection history. We demonstrate for the first time the successful application of high density DNA chip analysis of PBL as a diagnostic tool for transplantation. The significance of these results, if validated in a multicenter prospective trial, would be the establishment of a metric based on gene expression signatures for monitoring the immune status and immunosuppression of transplanted patients."}
{"STANDARD_NAME":"DORSAM_HOXA9_TARGETS_UP","SYSTEMATIC_NAME":"M10445","ORGANISM":"Homo sapiens","PMID":"14604967","AUTHORS":"Dorsam ST,Ferrell CM,Dorsam GP,Derynck MK,Vijapurkar U,Khodabakhsh D,Pau B,Bernstein H,Haqq CM,Largman C,Lawrence HJ","EXACT_SOURCE":"Fig 6:Upregulated by HOXA9","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"HOXA9 [GeneID=3205] targets up-regulated in hematopoietic stem cells.","DESCRIPTION_FULL":"Hematopoietic defects in HOXA9(-/-) mice demonstrate a key role for this homeoprotein in blood cell development. Conversely, enforced HOXA9 expression is leukemogenic in mice, and HOXA9 is frequently activated in human acute myeloid leukemia (AML). Although HOXA9 is thought to function as a transcription factor, few downstream targets have been identified. We searched for early HOXA9 target genes by using a transient overexpression strategy in 3 hematopoietic cell lines (2 myeloid, 1 lymphoid). cDNA microarray analyses identified 220 genes whose expression was modulated at least 2-fold. Expression signatures in myeloid and lymphoid cells demonstrated that HOXA9 functions as both an activator and repressor of a variety of genes in cell-specific patterns suggesting that the transcriptional effects of HOXA9 are largely dependent on the cell context. Transient transcription assays and target gene expression patterns in HOXA9(-/-) marrow cells imply that we have identified direct physiologic targets. Many target genes are expressed in CD34+ stem cells or are members of gene families involved in proliferation or myeloid differentiation. Expression of 14 HOXA9 target genes correlated with high-level HOXA9 expression in primary AML. These data suggest that many genes identified in this survey may mediate the biologic effects of HOXA9 in normal and leukemic hematopoiesis."}
{"STANDARD_NAME":"DER_IFN_BETA_RESPONSE_DN","SYSTEMATIC_NAME":"M17607","ORGANISM":"Homo sapiens","PMID":"9861020","AUTHORS":"Der SD,Zhou A,Williams BR,Silverman RH","EXACT_SOURCE":"Table 3: IFN beta","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes down-regulated in HT1080 (fibrosarcoma) cells by treatment with interferon beta for 6 h.","DESCRIPTION_FULL":"The pleiotropic activities of interferons (IFNs) are mediated primarily through the transcriptional regulation of many downstream effector genes. The mRNA profiles from IFN-alpha, -beta, or -gamma treatments of the human fibrosarcoma cell line, HT1080, were determined by using oligonucleotide arrays with probe sets corresponding to more than 6,800 human genes. Among these were transcripts for known IFN-stimulated genes (ISGs), the expression of which were consistent with previous studies in which the particular ISG was characterized as responsive to either Type I (alpha, beta) or Type II (gamma) IFNs, or both. Importantly, many novel IFN-stimulated genes were identified that were diverse in their known biological functions. For instance, several novel ISGs were identified that are implicated in apoptosis (including RAP46/Bag-1, phospholipid scramblase, and hypoxia inducible factor-1alpha). Furthermore, several IFN-repressed genes also were identified. These results demonstrate the usefulness of oligonucleotide arrays in monitoring mammalian gene expression on a broad and unprecedented scale. In particular, these findings provide insights into the basic mechanisms of IFN actions and ultimately may contribute to better therapeutic uses for IFNs."}
{"STANDARD_NAME":"IIZUKA_LIVER_CANCER_PROGRESSION_G2_G3_UP","SYSTEMATIC_NAME":"M9096","ORGANISM":"Homo sapiens","PMID":"15710396","AUTHORS":"Iizuka N,Oka M,Yamada-Okabe H,Mori N,Tamesa T,Okada T,Takemoto N,Sakamoto K,Hamada K,Ishitsuka H,Miyamoto T,Uchimura S,Hamamoto Y","EXACT_SOURCE":"Table 5: genes downregulated in G3 in comparison with G2","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes up-regulated during transition from G2 (moderately differentiated tumor, infected with HCV) to G3 (poorly differentiated tumor, infected with HCV) in the development of hepatocellular carcinoma.","DESCRIPTION_FULL":"Using high-density oligonucleotide array, we comprehensively analyzed expression levels of 12600 genes in 50 hepatocellular carcinoma (HCC) samples with positive hepatitis C virus (HCV) serology (well (G1), moderately (G2), and poorly (G3) differentiated tumors) and 11 non-tumorous livers (L1 and L0) with and without HCV infection. We searched for discriminatory genes of transition (L0 vs. L1, L1 vs. G1, G1 vs. G2, G2 vs. G3) with a supervised learning method, and then arranged the samples by self-organizing map (SOM) with the discriminatory gene sets. The SOM arranged the five clusters on a unique sigmoidal curve in the order L0, L1, G1, G2, and G3. The sample arrangement reproduced development-related features of HCC such as p53 abnormality. Strikingly, G2 tumors without venous invasion were located closer to the G1 cluster, and most G2 tumors with venous invasion were located closer to the G3 cluster (P=0.001 by Fisher's exact test). Our present profiling data will serve as a framework to understand the relation between the development and dedifferentiation of HCC."}
{"STANDARD_NAME":"KLEIN_PRIMARY_EFFUSION_LYMPHOMA_DN","SYSTEMATIC_NAME":"M18825","ORGANISM":"Homo sapiens","PMID":"12531789","AUTHORS":"Klein U,Gloghini A,Gaidano G,Chadburn A,Cesarman E,Dalla-Favera R,Carbone A","EXACT_SOURCE":"Table 2S","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kate Stafford","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in AIDS-related primary effusion lymphoma (PEL) samples compared to other tumor subtypes and normal B lymphocytes.","DESCRIPTION_FULL":"AIDS-related primary effusion lymphoma (PEL) is an HIV-associated malignancy characterized by the ability of the tumor cells to specifically home in the serous body cavities. Here we used gene expression profile analysis (about 12 000 genes) to further define the phenotype of PEL and to investigate the lymphoma relationship to normal B cells and to other tumor subtypes, including non-Hodgkin lymphomas (NHLs) of immunocompetent hosts and AIDS-associated NHL (AIDS-NHL). The results showed that PEL displayed a common gene expression profile that is clearly distinct from all NHLs of immunocompetent hosts and AIDS-NHL subtypes and, in contrast to those, is not related to germinal center (GC) or memory B cells. The gene expression profile of PEL was defined as plasmablastic because it showed features of both immunoblasts identified by Epstein-Barr virus (EBV)-transformed lymphoblastoid cell lines and AIDS immunoblastic lymphoma, and plasma cells, as defined by multiple myeloma cell lines. Finally, our results identify a set of genes specifically expressed in PEL tumor cells. Their expression was validated at the protein level, suggesting their potential pathogenetic and clinical significance."}
{"STANDARD_NAME":"CHANG_POU5F1_TARGETS_DN","SYSTEMATIC_NAME":"M19735","ORGANISM":"Homo sapiens","PMID":"18676852","AUTHORS":"Chang CC,Shieh GS,Wu P,Lin CC,Shiau AL,Wu CL","EXACT_SOURCE":"Table 3S","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated by POU5F1 [GeneID=5460] in bladder cancer cell lines.","DESCRIPTION_FULL":"Cancer and embryonic stem cells exhibit similar behavior, including immortal, undifferentiated, and invasive activities. Here, we show that in clinical samples bladder tumors with intense expression of stem cell marker Oct-3/4 (also known as POU5F1) are associated with further disease progression, greater metastasis, and shorter cancer-related survival compared with those with moderate and low expressions. Expression of Oct-3/4 is detected in human bladder transitional cell carcinoma samples and cell lines. Overexpression of Oct-3/4 enhances, whereas knockdown of Oct-3/4 expression by RNA interference reduces, migration and invasion of bladder cancer cells. Oct-3/4 can up-regulate fibroblast growth factor-4 and matrix metalloproteinase-2 (MMP-2), MMP-9, and MMP-13 production, which may contribute to tumor metastasis. Finally, we show that Ad5WS4, an E1B-55 kD-deleted adenovirus driven by the Oct-3/4 promoter, exerts potent antitumor activity against bladder cancer in a syngeneic murine tumor model. Therefore, our results implicate that Oct-3/4 may be useful as a novel tumor biological and prognostic marker and probably as a potential therapeutic target for bladder cancer."}
{"STANDARD_NAME":"TARTE_PLASMA_CELL_VS_PLASMABLAST_UP","SYSTEMATIC_NAME":"M4872","ORGANISM":"Homo sapiens","PMID":"12663452","AUTHORS":"Tarte K,Zhan F,De Vos J,Klein B,Shaughnessy J Jr","EXACT_SOURCE":"Table 6S","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kate Stafford","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in mature plasma cells compared with plasmablastic B lymphocytes.","DESCRIPTION_FULL":"Plasma cells (PCs), the end point of B-cell differentiation, are a heterogeneous cell compartment comprising several cell subsets from short-lived highly proliferative plasmablasts to long-lived nondividing fully mature PCs. Whereas the major transcription factors driving the differentiation of B cells to PCs were recently identified, the subtle genetic changes that underlie the transition from plasmablasts to mature PCs are poorly understood. We recently described an in vitro model making it possible to obtain a large number of cells with the morphologic, phenotypic, and functional characteristics of normal polyclonal plasmablastic cells (PPCs). Using Affymetrix microarrays we compared the gene expression profiles of these PPCs with those of mature PCs isolated from tonsils (TPCs) and bone marrow (BMPCs), and with those of B cells purified from peripheral blood (PBB cells) and tonsils (TBCs). Unsupervised principal component analysis clearly distinguished the 5 cell populations on the basis of their differentiation and proliferation status. Detailed statistical analysis allowed the identification of 85 PC genes and 40 B-cell genes, overexpressed, respectively, in the 3 PC subsets or in the 2 B-cell subsets. In addition, several signaling molecules and antiapoptotic proteins were found to be induced in BMPCs compared with PPCs and could be involved in the accumulation and prolonged survival of BMPCs in close contact with specialized stromal microenvironment. These data should help to better understand the molecular events that regulate commitment to a PC fate, mediate PC maintenance in survival niches, and could facilitate PC immortalization in plasma cell dyscrasias."}
{"STANDARD_NAME":"WILLERT_WNT_SIGNALING","SYSTEMATIC_NAME":"M1805","ORGANISM":"Homo sapiens","PMID":"12095419","AUTHORS":"Willert J,Epping M,Pollack JR,Brown PO,Nusse R","GEOID":"GSE3262","EXACT_SOURCE":"Fig 1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes up-regulated in NCCIT cell line (embryonic teratocarcinoma) after stimulation with WNT3A [GeneID=89780].","DESCRIPTION_FULL":"BACKGROUND: Wnt signaling is implicated in many developmental decisions, including stem cell control, as well as in cancer. There are relatively few target genes known of the Wnt pathway. RESULTS: We have identified target genes of Wnt signaling using microarray technology and human embryonic carcinoma cells stimulated with active Wnt protein. The ~50 genes upregulated early after Wnt addition include the previously known Wnt targets Cyclin D1, MYC, ID2 and betaTRCP. The newly identified targets, which include MSX1, MSX2, Nucleophosmin, Follistatin, TLE/Groucho, Ubc4/5E2, CBP/P300, Frizzled and REST/NRSF, have important implications for understanding the roles of Wnts in development and cancer. The protein synthesis inhibitor cycloheximide blocks induction by Wnt, consistent with a requirement for newly synthesized beta-catenin protein prior to target gene activation. The promoters of nearly all the target genes we identified have putative TCF binding sites, and we show that the TCF binding site is required for induction of Follistatin. Several of the target genes have a cooperative response to a combination of Wnt and BMP. CONCLUSIONS: Wnt signaling activates genes that promote stem cell fate and inhibit cellular differentiation and regulates a remarkable number of genes involved in its own signaling system."}
{"STANDARD_NAME":"BYSTRYKH_HEMATOPOIESIS_STEM_CELL_RUNX1","SYSTEMATIC_NAME":"M12486","ORGANISM":"Mus musculus","PMID":"15711547","AUTHORS":"Bystrykh L,Weersing E,Dontje B,Sutton S,Pletcher MT,Wiltshire T,Su AI,Vellenga E,Wang J,Manly KF,Lu L,Chesler EJ,Alberts R,Jansen RC,Williams RW,Cooke MP,de Haan G","GEOID":"GSE2031","EXACT_SOURCE":"Table 3: Runx1","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jean Junior","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes whose expression is coregulated with that of RUNX1 [GeneID=861] in hematopoietic stem cells (HSC).","DESCRIPTION_FULL":"We combined large-scale mRNA expression analysis and gene mapping to identify genes and loci that control hematopoietic stem cell (HSC) function. We measured mRNA expression levels in purified HSCs isolated from a panel of densely genotyped recombinant inbred mouse strains. We mapped quantitative trait loci (QTLs) associated with variation in expression of thousands of transcripts. By comparing the physical transcript position with the location of the controlling QTL, we identified polymorphic cis-acting stem cell genes. We also identified multiple trans-acting control loci that modify expression of large numbers of genes. These groups of coregulated transcripts identify pathways that specify variation in stem cells. We illustrate this concept with the identification of candidate genes involved with HSC turnover. We compared expression QTLs in HSCs and brain from the same mice and identified both shared and tissue-specific QTLs. Our data are accessible through WebQTL, a web-based interface that allows custom genetic linkage analysis and identification of coregulated transcripts."}
{"STANDARD_NAME":"KENNY_CTNNB1_TARGETS_DN","SYSTEMATIC_NAME":"M19134","ORGANISM":"Mus musculus","PMID":"15642117","AUTHORS":"Kenny PA,Enver T,Ashworth A","EXACT_SOURCE":"Suppl. file 1: top 100 down-regulated genes, converted to human orthologs","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes down-regulated in HC11 cells (mammary epithelium) by expression of constantly active CTNNB1 [GeneID=1499].","DESCRIPTION_FULL":"BACKGROUND: Deregulation of the Wnt/ beta-catenin signal transduction pathway has been implicated in the pathogenesis of tumours in the mammary gland, colon and other tissues. Mutations in components of this pathway result in beta-catenin stabilization and accumulation, and the aberrant modulation of beta-catenin/TCF target genes. Such alterations in the cellular transcriptional profile are believed to underlie the pathogenesis of these cancers. We have sought to identify novel target genes of this pathway in mouse mammary epithelial cells. METHODS: Gene expression microarray analysis of mouse mammary epithelial cells inducibly expressing a constitutively active mutant of beta-catenin was used to identify target genes of this pathway. RESULTS: The differential expression in response to DeltaNbeta-catenin for five putative target genes, Autotaxin, Extracellular Matrix Protein 1 (Ecm1), CD14, Hypoxia-inducible gene 2 (Hig2) and Receptor Activity Modifying Protein 3 (RAMP3), was independently validated by northern blotting. Each of these genes encodes either a receptor or a secreted protein, modulation of which may underlie the interactions between Wnt/beta-catenin tumour cells and between the tumour and its microenvironment. One of these genes, Hig2, previously shown to be induced by both hypoxia and glucose deprivation in human cervical carcinoma cells, was strongly repressed upon DeltaNbeta-catenin induction. The predicted N-terminus of Hig2 contains a putative signal peptide suggesting it might be secreted. Consistent with this, a Hig2-EGFP fusion protein was able to enter the secretory pathway and was detected in conditioned medium. Mutation of critical residues in the putative signal sequence abolished its secretion. The expression of human HIG2 was examined in a panel of human tumours and was found to be significantly downregulated in kidney tumours compared to normal adjacent tissue. CONCLUSIONS: HIG2 represents a novel non-cell autonomous target of the Wnt pathway which is potentially involved in human cancer."}
{"STANDARD_NAME":"CHEOK_RESPONSE_TO_MERCAPTOPURINE_AND_LD_MTX_UP","SYSTEMATIC_NAME":"M11031","ORGANISM":"Homo sapiens","PMID":"12704389","AUTHORS":"Cheok MH,Yang W,Pui CH,Downing JR,Cheng C,Naeve CW,Relling MV,Evans WE","GEOID":"GSE412","EXACT_SOURCE":"Table 2S: LDMP DC > 0 & LDMP p val. < 0.01","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jean Junior","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes specifically up-regulated in pediatric acute lymphoblastic leukemia (ALL) patients by mercaptopurine [PubChem=667490] and low-dose methotrexate (LDMTX) [PubChem=4112].","DESCRIPTION_FULL":"To elucidate the genomics of cellular responses to cancer treatment, we analyzed the expression of over 9,600 human genes in acute lymphoblastic leukemia cells before and after in vivo treatment with methotrexate and mercaptopurine given alone or in combination. Based on changes in gene expression, we identified 124 genes that accurately discriminated among the four treatments. Discriminating genes included those involved in apoptosis, mismatch repair, cell cycle control and stress response. Only 14% of genes that changed when these medications were given as single agents also changed when they were given together. These data indicate that lymphoid leukemia cells of different molecular subtypes share common pathways of genomic response to the same treatment, that changes in gene expression are treatment-specific and that gene expression can illuminate differences in cellular response to drug combinations versus single agents."}
{"STANDARD_NAME":"CHESLER_BRAIN_QTL_TRANS","SYSTEMATIC_NAME":"M7189","ORGANISM":"Mus musculus","PMID":"15711545","AUTHORS":"Chesler EJ,Lu L,Shou S,Qu Y,Gu J,Wang J,Hsu HC,Mountz JD,Baldwin NE,Langston MA,Threadgill DW,Manly KF,Williams RW","EXACT_SOURCE":"Table 2S: TRANS REGULATED TRANSCRIPTS","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jean Junior","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Best trans-regulated quantitative trait loci (QTLs) in the mouse genome which modulate transcription in brain tissue.","DESCRIPTION_FULL":"Patterns of gene expression in the central nervous system are highly variable and heritable. This genetic variation among normal individuals leads to considerable structural, functional and behavioral differences. We devised a general approach to dissect genetic networks systematically across biological scale, from base pairs to behavior, using a reference population of recombinant inbred strains. We profiled gene expression using Affymetrix oligonucleotide arrays in the BXD recombinant inbred strains, for which we have extensive SNP and haplotype data. We integrated a complementary database comprising 25 years of legacy phenotypic data on these strains. Covariance among gene expression and pharmacological and behavioral traits is often highly significant, corroborates known functional relations and is often generated by common quantitative trait loci. We found that a small number of major-effect quantitative trait loci jointly modulated large sets of transcripts and classical neural phenotypes in patterns specific to each tissue. We developed new analytic and graph theoretical approaches to study shared genetic modulation of networks of traits using gene sets involved in neural synapse function as an example. We built these tools into an open web resource called WebQTL that can be used to test a broad array of hypotheses."}
{"STANDARD_NAME":"KIM_GERMINAL_CENTER_T_HELPER_DN","SYSTEMATIC_NAME":"M1408","ORGANISM":"Homo sapiens","PMID":"15213097","AUTHORS":"Kim CH,Lim HW,Kim JR,Rott L,Hillsamer P,Butcher EC","EXACT_SOURCE":"Table 2S","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kate Stafford","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in germinal center T helper cells compared to other CD4+ [GeneID=920] T lymphocyte types.","DESCRIPTION_FULL":"Gene expression profiling was used to compare the gene expression patterns of human germinal center (GC) T helper (Th) cells with other CD4+ T-cell subsets (naive, central, and effector memory T cells). GC-Th cells, specifically localized in germinal centers to help B cells, are distantly related to central and effector memory T cells in global gene expression profiles. GC-Th cells displayed substantial differences in mRNA for adhesion molecules, chemoattractant receptors, and cytokines compared with other populations. Distinct expression of transcriptional factors by GC-Th cells is consistent with the hypothesis that they may be different from other T cells in cell lineage. Interestingly, CXCL13, a critical chemokine for B-cell entry to lymphoid follicles, is one of the most highly up-regulated genes in GC-Th cells. GC-Th cells (but not other T cells) produce and secrete large amounts of functional CXCL13 upon T-cell receptor activation, a process that is dependent on costimulation, requires translation and transcription, and is dramatically enhanced by activation in the presence of GC-B cells. This study revealed for the first time the unique gene expression program of GC-Th cells."}
{"STANDARD_NAME":"TARTE_PLASMA_CELL_VS_B_LYMPHOCYTE_DN","SYSTEMATIC_NAME":"M17812","ORGANISM":"Homo sapiens","PMID":"12663452","AUTHORS":"Tarte K,Zhan F,De Vos J,Klein B,Shaughnessy J Jr","EXACT_SOURCE":"Table 4S","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kate Stafford","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in plasma cells compared with B lymphocytes.","DESCRIPTION_FULL":"Plasma cells (PCs), the end point of B-cell differentiation, are a heterogeneous cell compartment comprising several cell subsets from short-lived highly proliferative plasmablasts to long-lived nondividing fully mature PCs. Whereas the major transcription factors driving the differentiation of B cells to PCs were recently identified, the subtle genetic changes that underlie the transition from plasmablasts to mature PCs are poorly understood. We recently described an in vitro model making it possible to obtain a large number of cells with the morphologic, phenotypic, and functional characteristics of normal polyclonal plasmablastic cells (PPCs). Using Affymetrix microarrays we compared the gene expression profiles of these PPCs with those of mature PCs isolated from tonsils (TPCs) and bone marrow (BMPCs), and with those of B cells purified from peripheral blood (PBB cells) and tonsils (TBCs). Unsupervised principal component analysis clearly distinguished the 5 cell populations on the basis of their differentiation and proliferation status. Detailed statistical analysis allowed the identification of 85 PC genes and 40 B-cell genes, overexpressed, respectively, in the 3 PC subsets or in the 2 B-cell subsets. In addition, several signaling molecules and antiapoptotic proteins were found to be induced in BMPCs compared with PPCs and could be involved in the accumulation and prolonged survival of BMPCs in close contact with specialized stromal microenvironment. These data should help to better understand the molecular events that regulate commitment to a PC fate, mediate PC maintenance in survival niches, and could facilitate PC immortalization in plasma cell dyscrasias."}
{"STANDARD_NAME":"PARK_HSC_VS_MULTIPOTENT_PROGENITORS_UP","SYSTEMATIC_NAME":"M1412","ORGANISM":"Mus musculus","PMID":"11781229","AUTHORS":"Park IK,He Y,Lin F,Laerum OD,Tian Q,Bumgarner R,Klug CA,Li K,Kuhr C,Doyle MJ,Xie T,Schummer M,Sun Y,Goldsmith A,Clarke MF,Weissman IL,Hood L,Li L","EXACT_SOURCE":"Table 2: high rhodamine (LT-HSC)","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kate Stafford","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in long term hematopoietic stem cells (LT-HSC) compared to multipotent progenitor (MPP) cells.","DESCRIPTION_FULL":"Hematopoietic stem cells (HSCs) have self-renewal capacity and multilineage developmental potentials. The molecular mechanisms that control the self-renewal of HSCs are still largely unknown. Here, a systematic approach using bioinformatics and array hybridization techniques to analyze gene expression profiles in HSCs is described. To enrich mRNAs predominantly expressed in uncommitted cell lineages, 54 000 cDNA clones generated from a highly enriched population of HSCs and a mixed population of stem and early multipotent progenitor (MPP) cells were arrayed on nylon membranes (macroarray or high-density array), and subtracted with cDNA probes derived from mature lineage cells including spleen, thymus, and bone marrow. Five thousand cDNA clones with very low hybridization signals were selected for sequencing and further analysis using microarrays on glass slides. Two populations of cells, HSCs and MPP cells, were compared for differential gene expression using microarray analysis. HSCs have the ability to self-renew, while MPP cells have lost the capacity for self-renewal. A large number of genes that were differentially expressed by enriched populations of HSCs and MPP cells were identified. These included transcription factors, signaling molecules, and previously unknown genes."}
{"STANDARD_NAME":"YAGI_AML_RELAPSE_PROGNOSIS","SYSTEMATIC_NAME":"M15262","ORGANISM":"Homo sapiens","PMID":"12738660","AUTHORS":"Yagi T,Morimoto A,Eguchi M,Hibi S,Sako M,Ishii E,Mizutani S,Imashuku S,Ohki M,Ichikawa H","GEOID":"GSE2191","EXACT_SOURCE":"Table 2","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kate Stafford","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes associated with clinical prognosis of pediatric AML (acute myeloid leukemia): good prognosis=no relapse > 3 years; poor prognosis=relapse < 1 year or no response to therapy.","DESCRIPTION_FULL":"Most patients with acute myeloid leukemia (AML) enter complete remission (CR) after treatment with chemotherapy, but a large number of them experience relapse with resistant disease. To identify genes that are associated with their prognoses, we analyzed gene expression in 54 pediatric patients with AML using an oligonucleotide microarray that contained 12 566 probe sets. A supervised approach using the Student t test selected a prognostic set of 35 genes, some of which are associated with the regulation of cell cycle and apoptosis. Most of these genes had not previously been reported to be associated with prognosis and were not correlated with morphologically classified French-American-British (FAB) subtypes or with karyotypes. These results indicate the existence of prognosis-associated genes that are independent of cell lineage and cytogenetic abnormalities, and they can provide therapeutic direction for individual risk-adapted therapy for pediatric AML patients."}
{"STANDARD_NAME":"SHIPP_DLBCL_CURED_VS_FATAL_UP","SYSTEMATIC_NAME":"M3334","ORGANISM":"Homo sapiens","PMID":"11786909","AUTHORS":"Shipp MA,Ross KN,Tamayo P,Weng AP,Kutok JL,Aguiar RC,Gaasenbeek M,Angelo M,Reich M,Pinkus GS,Ray TS,Koval MA,Last KW,Norton A,Lister TA,Mesirov J,Neuberg DS,Lander ES,Aster JC,Golub TR","EXACT_SOURCE":"Suppl. Data: section 3; DLBCL Cured versus Fatal/Refractory Distinction; Distinction = cured","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jean Junior","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top 50 up-regulated markers for the diffused large B-cell lymphoma (DLBCL) that distinguished between cured and fatal/refractory clinical outcomes.","DESCRIPTION_FULL":"Diffuse large B-cell lymphoma (DLBCL), the most common lymphoid malignancy in adults, is curable in less than 50% of patients. Prognostic models based on pre-treatment characteristics, such as the International Prognostic Index (IPI), are currently used to predict outcome in DLBCL. However, clinical outcome models identify neither the molecular basis of clinical heterogeneity, nor specific therapeutic targets. We analyzed the expression of 6,817 genes in diagnostic tumor specimens from DLBCL patients who received cyclophosphamide, adriamycin, vincristine and prednisone (CHOP)-based chemotherapy, and applied a supervised learning prediction method to identify cured versus fatal or refractory disease. The algorithm classified two categories of patients with very different five-year overall survival rates (70% versus 12%). The model also effectively delineated patients within specific IPI risk categories who were likely to be cured or to die of their disease. Genes implicated in DLBCL outcome included some that regulate responses to B-cell-receptor signaling, critical serine/threonine phosphorylation pathways and apoptosis. Our data indicate that supervised learning classification techniques can predict outcome in DLBCL and identify rational targets for intervention."}
{"STANDARD_NAME":"LEE_LIVER_CANCER_ACOX1_UP","SYSTEMATIC_NAME":"M19612","ORGANISM":"Mus musculus","PMID":"15565109","AUTHORS":"Lee JS,Chu IS,Mikaelyan A,Calvisi DF,Heo J,Reddy JK,Thorgeirsson SS","GEOID":"GSE1897","EXACT_SOURCE":"GSE1897: top 100 up-regulated in Acox1; converted to human orthologs","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes up-regulated in hepatocellular carcinoma of ACOX1 [GeneID=51] knockout mice.","DESCRIPTION_FULL":"Genetically modified mice have been extensively used for analyzing the molecular events that occur during tumor development. In many, if not all, cases, however, it is uncertain to what extent the mouse models reproduce features observed in the corresponding human conditions. This is due largely to lack of precise methods for direct and comprehensive comparison at the molecular level of the mouse and human tumors. Here we use global gene expression patterns of 68 hepatocellular carcinomas (HCCs) from seven different mouse models and 91 human HCCs from predefined subclasses to obtain direct comparison of the molecular features of mouse and human HCCs. Gene expression patterns in HCCs from Myc, E2f1 and Myc E2f1 transgenic mice were most similar to those of the better survival group of human HCCs, whereas the expression patterns in HCCs from Myc Tgfa transgenic mice and in diethylnitrosamine-induced mouse HCCs were most similar to those of the poorer survival group of human HCCs. Gene expression patterns in HCCs from Acox1(-/-) mice and in ciprofibrate-induced HCCs were least similar to those observed in human HCCs. We conclude that our approach can effectively identify appropriate mouse models to study human cancers."}
{"STANDARD_NAME":"CHEOK_RESPONSE_TO_MERCAPTOPURINE_UP","SYSTEMATIC_NAME":"M19652","ORGANISM":"Homo sapiens","PMID":"12704389","AUTHORS":"Cheok MH,Yang W,Pui CH,Downing JR,Cheng C,Naeve CW,Relling MV,Evans WE","GEOID":"GSE412","EXACT_SOURCE":"Table 2S: MP DC > 0 & MP p val. < 0.01","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jean Junior","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes specifically up-regulated in pediadric acute lymphoblastic leukemia (ALL) patients by mercaptopurine [PubChem=667490].","DESCRIPTION_FULL":"To elucidate the genomics of cellular responses to cancer treatment, we analyzed the expression of over 9,600 human genes in acute lymphoblastic leukemia cells before and after in vivo treatment with methotrexate and mercaptopurine given alone or in combination. Based on changes in gene expression, we identified 124 genes that accurately discriminated among the four treatments. Discriminating genes included those involved in apoptosis, mismatch repair, cell cycle control and stress response. Only 14% of genes that changed when these medications were given as single agents also changed when they were given together. These data indicate that lymphoid leukemia cells of different molecular subtypes share common pathways of genomic response to the same treatment, that changes in gene expression are treatment-specific and that gene expression can illuminate differences in cellular response to drug combinations versus single agents."}
{"STANDARD_NAME":"CHESLER_BRAIN_HIGHEST_GENETIC_VARIANCE","SYSTEMATIC_NAME":"M427","ORGANISM":"Mus musculus","PMID":"15711545","AUTHORS":"Chesler EJ,Lu L,Shou S,Qu Y,Gu J,Wang J,Hsu HC,Mountz JD,Baldwin NE,Langston MA,Threadgill DW,Manly KF,Williams RW","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jean Junior","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neurologically relevant transcripts with highest variance accounted for by mouse strain (genotype) differences.","DESCRIPTION_FULL":"Patterns of gene expression in the central nervous system are highly variable and heritable. This genetic variation among normal individuals leads to considerable structural, functional and behavioral differences. We devised a general approach to dissect genetic networks systematically across biological scale, from base pairs to behavior, using a reference population of recombinant inbred strains. We profiled gene expression using Affymetrix oligonucleotide arrays in the BXD recombinant inbred strains, for which we have extensive SNP and haplotype data. We integrated a complementary database comprising 25 years of legacy phenotypic data on these strains. Covariance among gene expression and pharmacological and behavioral traits is often highly significant, corroborates known functional relations and is often generated by common quantitative trait loci. We found that a small number of major-effect quantitative trait loci jointly modulated large sets of transcripts and classical neural phenotypes in patterns specific to each tissue. We developed new analytic and graph theoretical approaches to study shared genetic modulation of networks of traits using gene sets involved in neural synapse function as an example. We built these tools into an open web resource called WebQTL that can be used to test a broad array of hypotheses."}
{"STANDARD_NAME":"CHEN_LUNG_CANCER_SURVIVAL","SYSTEMATIC_NAME":"M8526","ORGANISM":"Homo sapiens","PMID":"14573703","AUTHORS":"Chen G,Gharib TG,Wang H,Huang CC,Kuick R,Thomas DG,Shedden KA,Misek DE,Taylor JM,Giordano TJ,Kardia SL,Iannettoni MD,Yee J,Hogg PJ,Orringer MB,Hanash SM,Beer DG","EXACT_SOURCE":"Table 1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kate Stafford","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Protein profiles associated with survival in lung adenocarcinoma.","DESCRIPTION_FULL":"Morphologic assessment of lung tumors is informative but insufficient to adequately predict patient outcome. We previously identified transcriptional profiles that predict patient survival, and here we identify proteins associated with patient survival in lung adenocarcinoma. A total of 682 individual protein spots were quantified in 90 lung adenocarcinomas by using quantitative two-dimensional polyacrylamide gel electrophoresis analysis. A leave-one-out cross-validation procedure using the top 20 survival-associated proteins identified by Cox modeling indicated that protein profiles as a whole can predict survival in stage I tumor patients (P = 0.01). Thirty-three of 46 survival-associated proteins were identified by using mass spectrometry. Expression of 12 candidate proteins was confirmed as tumor-derived with immunohistochemical analysis and tissue microarrays. Oligonucleotide microarray results from both the same tumors and from an independent study showed mRNAs associated with survival for 11 of 27 encoded genes. Combined analysis of protein and mRNA data revealed 11 components of the glycolysis pathway as associated with poor survival. Among these candidates, phosphoglycerate kinase 1 was associated with survival in the protein study, in both mRNA studies and in an independent validation set of 117 adenocarcinomas and squamous lung tumors using tissue microarrays. Elevated levels of phosphoglycerate kinase 1 in the serum were also significantly correlated with poor outcome in a validation set of 107 patients with lung adenocarcinomas using ELISA analysis. These studies identify new prognostic biomarkers and indicate that protein expression profiles can predict the outcome of patients with early-stage lung cancer."}
{"STANDARD_NAME":"GOLUB_ALL_VS_AML_DN","SYSTEMATIC_NAME":"M6761","ORGANISM":"Homo sapiens","PMID":"10521349","AUTHORS":"Golub TR,Slonim DK,Tamayo P,Huard C,Gaasenbeek M,Mesirov JP,Coller H,Loh ML,Downing JR,Caligiuri MA,Bloomfield CD,Lander ES","EXACT_SOURCE":"Fig 3b: blue in ALL","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jean Junior","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated genes highly correlated with acute lymphoblastic leukemia (ALL) vs acute myeloid leukemia (AML).","DESCRIPTION_FULL":"Although cancer classification has improved over the past 30 years, there has been no general approach for identifying new cancer classes (class discovery) or for assigning tumors to known classes (class prediction). Here, a generic approach to cancer classification based on gene expression monitoring by DNA microarrays is described and applied to human acute leukemias as a test case. A class discovery procedure automatically discovered the distinction between acute myeloid leukemia (AML) and acute lymphoblastic leukemia (ALL) without previous knowledge of these classes. An automatically derived class predictor was able to determine the class of new leukemia cases. The results demonstrate the feasibility of cancer classification based solely on gene expression monitoring and suggest a general strategy for discovering and predicting cancer classes for other types of cancer, independent of previous biological knowledge."}
{"STANDARD_NAME":"DISTECHE_ESCAPED_FROM_X_INACTIVATION","SYSTEMATIC_NAME":"M16091","ORGANISM":"Homo sapiens","PMID":"12900543","AUTHORS":"Disteche CM,Filippova GN,Tsuchiya KD","EXACT_SOURCE":"Table 1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes that escape X inactivation.","DESCRIPTION_FULL":"Although the process of X inactivation in mammalian cells silences the majority of genes on the inactivated X chromosome, some genes escape this chromosome-wide silencing. Genes that escape X inactivation present a unique opportunity to study the process of silencing and the mechanisms that protect some genes from being turned off. In this review, we will discuss evolutionary aspects of escape from X inactivation, in relation to the divergence of the sex chromosomes. Molecular characteristics, expression, and epigenetic modifications of genes that escape will be presented, including their developmental regulation and the implications of chromatin domains along the X chromosome in modeling the escape process."}
{"STANDARD_NAME":"CHESLER_BRAIN_HIGHEST_EXPRESSION","SYSTEMATIC_NAME":"M4519","ORGANISM":"Mus musculus","PMID":"15711545","AUTHORS":"Chesler EJ,Lu L,Shou S,Qu Y,Gu J,Wang J,Hsu HC,Mountz JD,Baldwin NE,Langston MA,Threadgill DW,Manly KF,Williams RW","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jean Junior","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neurologically relevant transcripts with highest abundance fold range in brain tissue among mouse strains.","DESCRIPTION_FULL":"Patterns of gene expression in the central nervous system are highly variable and heritable. This genetic variation among normal individuals leads to considerable structural, functional and behavioral differences. We devised a general approach to dissect genetic networks systematically across biological scale, from base pairs to behavior, using a reference population of recombinant inbred strains. We profiled gene expression using Affymetrix oligonucleotide arrays in the BXD recombinant inbred strains, for which we have extensive SNP and haplotype data. We integrated a complementary database comprising 25 years of legacy phenotypic data on these strains. Covariance among gene expression and pharmacological and behavioral traits is often highly significant, corroborates known functional relations and is often generated by common quantitative trait loci. We found that a small number of major-effect quantitative trait loci jointly modulated large sets of transcripts and classical neural phenotypes in patterns specific to each tissue. We developed new analytic and graph theoretical approaches to study shared genetic modulation of networks of traits using gene sets involved in neural synapse function as an example. We built these tools into an open web resource called WebQTL that can be used to test a broad array of hypotheses."}
{"STANDARD_NAME":"BYSTROEM_CORRELATED_WITH_IL5_UP","SYSTEMATIC_NAME":"M1415","ORGANISM":"Mus musculus","PMID":"14525773","AUTHORS":"Byström J,Wynn TA,Domachowske JB,Rosenberg HF","EXACT_SOURCE":"Table 1: Direct correlation","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kate Stafford","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes whose expression in bone marrow samples correlated directly with increased levels of serum IL5 [GeneID=3567].","DESCRIPTION_FULL":"Interleukin-5 (IL-5) is a hematopoietic differentiation factor that promotes the development of mature eosinophils from progenitors in bone marrow. We present a multifactorial microarray study documenting the transcriptional events in bone marrow of wild-type and IL-5-deficient mice at baseline and in response to infection with Schistosoma mansoni. The microarray data were analyzed by a 4-way subtractive algorithm that eliminated confounding non-IL-5-related sequelae of schistosome infection as well as alterations in gene expression among uninfected mice. Among the most prominent findings, we observed 7- to 40-fold increased expression of transcripts encoding the classic eosinophil granule proteins (eosinophil peroxidase, major basic protein, the ribonucleases) together with arachidonate-15-lipoxygenase and protease inhibitor plasminogen activator inhibitor 2 (PAI-2), in the IL-5-producing, infected wild-type mice only. This was accompanied by increased transcription of genes involved in secretory protein biosynthesis and granule-vesicle formation. Interestingly, we did not detect increased expression of genes encoding eosinophil-related chemokine receptors (CCR1, CCR3) or members of the GATA or CCAAT/enhancer binding protein (C/EBP) transcription factor families. These data suggest that the IL-5-responsive progenitors in the mouse bone marrow are already significantly committed to the eosinophil lineage and that IL-5 promotes differentiation of these committed progenitors into cells with recognizable and characteristic cytoplasmic granules and granule proteins."}
{"STANDARD_NAME":"LIN_APC_TARGETS","SYSTEMATIC_NAME":"M17434","ORGANISM":"Homo sapiens","PMID":"11522623","AUTHORS":"Lin YM,Ono K,Satoh S,Ishiguro H,Fujita M,Miwa N,Tanaka T,Tsunoda T,Yang KC,Nakamura Y,Furukawa Y","EXACT_SOURCE":"Table 1","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes up-regulated by forced expression of APC [GeneID=324] in the APC-deficient SW480 cell line (colon cancer).","DESCRIPTION_FULL":"To elucidate the molecular mechanism of colorectal carcinogenesis, we have been attempting to isolate genes involved in the beta-catenin/T-cell factor pathway. In the experiments reported here, analysis by cDNA microarray indicated that AF17, a fusion partner of the MLL gene in acute leukemias with t(11;17)(q23;q21), was transactivated according to accumulation of beta-catenin. Expression of AF17 was significantly enhanced in 8 of the 12 colorectal cancer tissues examined. Introduction of a plasmid designed to express AF17 stimulated growth of NIH3T3 cells, and fluorescence-activated cell sorter analysis indicated that the AF17 regulation of cell-cycle progression was occurring mainly at the G(2)-M transition. Our results suggest that the AF17 gene product is likely to be involved in the beta-catenin-T-cell factor/lymphoid enhancer factor signaling pathway and to function as a growth-promoting, oncogenic protein. These findings should aid development of new strategies for diagnosis, treatment, and prevention of colon cancers and acute leukemias by clarifying the pathogenesis of these conditions."}
{"STANDARD_NAME":"CHEOK_RESPONSE_TO_HD_MTX_DN","SYSTEMATIC_NAME":"M4535","ORGANISM":"Homo sapiens","PMID":"12704389","AUTHORS":"Cheok MH,Yang W,Pui CH,Downing JR,Cheng C,Naeve CW,Relling MV,Evans WE","GEOID":"GSE412","EXACT_SOURCE":"Table 2S: HD DC < 0 & HD p val. < 0.01","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jean Junior","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes specifically down-regulated in pediatric acute lymphoblastic leukemia (ALL) patients by high-dose methotrexate (HDMTX) [PubChem=4112].","DESCRIPTION_FULL":"To elucidate the genomics of cellular responses to cancer treatment, we analyzed the expression of over 9,600 human genes in acute lymphoblastic leukemia cells before and after in vivo treatment with methotrexate and mercaptopurine given alone or in combination. Based on changes in gene expression, we identified 124 genes that accurately discriminated among the four treatments. Discriminating genes included those involved in apoptosis, mismatch repair, cell cycle control and stress response. Only 14% of genes that changed when these medications were given as single agents also changed when they were given together. These data indicate that lymphoid leukemia cells of different molecular subtypes share common pathways of genomic response to the same treatment, that changes in gene expression are treatment-specific and that gene expression can illuminate differences in cellular response to drug combinations versus single agents."}
{"STANDARD_NAME":"SMITH_LIVER_CANCER","SYSTEMATIC_NAME":"M18761","ORGANISM":"Homo sapiens","PMID":"12591738","AUTHORS":"Smith MW,Yue ZN,Geiss GK,Sadovnikova NY,Carter VS,Boix L,Lazaro CA,Rosenberg GB,Bumgarner RE,Fausto N,Bruix J,Katze MG","EXACT_SOURCE":"Fig 1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Potential marker genes specifically up-regulated in the majority of hepatocellular carcinoma (HCC) tumors.","DESCRIPTION_FULL":"Hepatocellular carcinoma (HCC) is a common primary cancer associated frequently with hepatitis C virus (HCV). To gain insight into the molecular mechanisms of hepatocarcinogenesis, and to identify potential HCC markers, we performed cDNA microarray analysis on surgical liver samples from 20 HCV-infected patients. RNA from individual tumors was compared with RNA isolated from adjacent nontumor tissue that was cirrhotic in all of the cases. Gene expression changes related to cirrhosis were filtered out using experiments in which pooled RNA from HCV-infected cirrhotic liver without tumors was compared with pooled RNA from normal liver. Expression of approximately 13,600 genes was analyzed using the advanced analysis tools of the Rosetta Resolver System. This analysis revealed a set of 50 potential HCC marker genes, which were up-regulated in the majority of the tumors analyzed, much more widely than common clinical markers such as cell proliferation-related genes. This HCC marker set contained several cancer-related genes, including serine/threonine kinase 15 (STK15), which has been implicated in chromosome segregation abnormalities but which has not been linked previously with liver cancer. In addition, a set of genes encoding secreted or plasma proteins was identified, including plasma glutamate carboxypeptidase (PGCP) and two secreted phospholipases A2 (PLA2G13 and PLA2G7). These genes may provide potential HCC serological markers because of their strong up-regulation in more than half of the tumors analyzed. Thus, high throughput methods coupled with high-order statistical analyses may result in the development of new diagnostic tools for liver malignancies."}
{"STANDARD_NAME":"ROSS_AML_WITH_MLL_FUSIONS","SYSTEMATIC_NAME":"M454","ORGANISM":"Homo sapiens","PMID":"15226186","AUTHORS":"Ross ME,Mahfouz R,Onciu M,Liu HC,Zhou X,Song G,Shurtleff SA,Pounds S,Cheng C,Ma J,Ribeiro RC,Rubnitz JE,Girtman K,Williams WK,Raimondi SC,Liang DC,Shih LY,Pui CH,Downing JR","EXACT_SOURCE":"Table S10","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kate Stafford","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top 100 probe sets for pediatric acute myeloid leukemia (AML) subtypes with chimeric MLL fusions [GeneID=4297].","DESCRIPTION_FULL":"Contemporary treatment of pediatric acute myeloid leukemia (AML) requires the assignment of patients to specific risk groups. To explore whether expression profiling of leukemic blasts could accurately distinguish between the known risk groups of AML, we analyzed 130 pediatric and 20 adult AML diagnostic bone marrow or peripheral blood samples using the Affymetrix U133A microarray. Class discriminating genes were identified for each of the major prognostic subtypes of pediatric AML, including t(15;17)[PML-RARalpha], t(8;21)[AML1-ETO], inv(16) [CBFbeta-MYH11], MLL chimeric fusion genes, and cases classified as FAB-M7. When subsets of these genes were used in supervised learning algorithms, an overall classification accuracy of more than 93% was achieved. Moreover, we were able to use the expression signatures generated from the pediatric samples to accurately classify adult de novo AMLs with the same genetic lesions. The class discriminating genes also provided novel insights into the molecular pathobiology of these leukemias. Finally, using a combined pediatric data set of 130 AMLs and 137 acute lymphoblastic leukemias, we identified an expression signature for cases with MLL chimeric fusion genes irrespective of lineage. Surprisingly, AMLs containing partial tandem duplications of MLL failed to cluster with MLL chimeric fusion gene cases, suggesting a significant difference in their underlying mechanism of transformation."}
{"STANDARD_NAME":"LEE_LIVER_CANCER_MYC_E2F1_UP","SYSTEMATIC_NAME":"M4420","ORGANISM":"Mus musculus","PMID":"15565109","AUTHORS":"Lee JS,Chu IS,Mikaelyan A,Calvisi DF,Heo J,Reddy JK,Thorgeirsson SS","GEOID":"GSE1897","EXACT_SOURCE":"GSE1897: top 100 up-regulated in Myc/E2f1; convertied to human orthologs","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes up-regulated in hepatocellular carcinoma (HCC) from MYC and E2F1 [GeneID=4609;1869] double transgenic mice.","DESCRIPTION_FULL":"Genetically modified mice have been extensively used for analyzing the molecular events that occur during tumor development. In many, if not all, cases, however, it is uncertain to what extent the mouse models reproduce features observed in the corresponding human conditions. This is due largely to lack of precise methods for direct and comprehensive comparison at the molecular level of the mouse and human tumors. Here we use global gene expression patterns of 68 hepatocellular carcinomas (HCCs) from seven different mouse models and 91 human HCCs from predefined subclasses to obtain direct comparison of the molecular features of mouse and human HCCs. Gene expression patterns in HCCs from Myc, E2f1 and Myc E2f1 transgenic mice were most similar to those of the better survival group of human HCCs, whereas the expression patterns in HCCs from Myc Tgfa transgenic mice and in diethylnitrosamine-induced mouse HCCs were most similar to those of the poorer survival group of human HCCs. Gene expression patterns in HCCs from Acox1(-/-) mice and in ciprofibrate-induced HCCs were least similar to those observed in human HCCs. We conclude that our approach can effectively identify appropriate mouse models to study human cancers."}
{"STANDARD_NAME":"ASTON_MAJOR_DEPRESSIVE_DISORDER_UP","SYSTEMATIC_NAME":"M25","ORGANISM":"Homo sapiens","PMID":"15303102","AUTHORS":"Aston C,Jiang L,Sokolov BP","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jean Junior","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in the temporal cortex samples from patients with major depressive disorder.","DESCRIPTION_FULL":"Major depressive disorder is one of the most common and devastating psychiatric disorders. To identify candidate mechanisms for major depressive disorder, we compared gene expression in the temporal cortex from 12 patients with major depressive disorder and 14 matched controls using Affymetrix HgU95A microarrays. Significant expression changes were revealed in families of genes involved in neurodevelopment, signal transduction and cell communication. Among these, the expression of 17 genes related to oligodendrocyte function was significantly (P < 0.05, fold change > 1.4) decreased in patients with major depressive disorder. Eight of these 17 genes encode structural components of myelin (CNP, MAG, MAL, MOG, MOBP, PMP22, PLLP, PLP1). Five other genes encode enzymes involved in the synthesis of myelin constituents (ASPA, UGT8), or are essential in regulation of myelin formation (ENPP2, EDG2, TF, KLK6). One gene, that is, SOX10, encodes a transcription factor regulating other myelination-related genes. OLIG2 is a transcription factor present exclusively in oligodendrocytes and oligodendrocyte precursors. Another gene, ERBB3, is involved in oligodendrocyte differentiation. In addition to myelination-related genes, there were significant changes in multiple genes involved in axonal growth/synaptic function. These findings suggest that major depressive disorder may be associated with changes in cell communication and signal transduction mechanisms that contribute to abnormalities in oligodendroglia and synaptic function. Taken together with other studies, these findings indicate that major depressive disorder may share common oligodendroglial abnormalities with schizophrenia and bipolar disorder."}
{"STANDARD_NAME":"ROSS_AML_OF_FAB_M7_TYPE","SYSTEMATIC_NAME":"M4621","ORGANISM":"Homo sapiens","PMID":"15226186","AUTHORS":"Ross ME,Mahfouz R,Onciu M,Liu HC,Zhou X,Song G,Shurtleff SA,Pounds S,Cheng C,Ma J,Ribeiro RC,Rubnitz JE,Girtman K,Williams WK,Raimondi SC,Liang DC,Shih LY,Pui CH,Downing JR","EXACT_SOURCE":"Table S11","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jean-Pierre Bourquin","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Top 100 probe sets for pediatric acute myeloid leukemia (AML) subtype FAB M7 (also known as acute megakaryoblastic leukemia, AMKL).","DESCRIPTION_FULL":"Contemporary treatment of pediatric acute myeloid leukemia (AML) requires the assignment of patients to specific risk groups. To explore whether expression profiling of leukemic blasts could accurately distinguish between the known risk groups of AML, we analyzed 130 pediatric and 20 adult AML diagnostic bone marrow or peripheral blood samples using the Affymetrix U133A microarray. Class discriminating genes were identified for each of the major prognostic subtypes of pediatric AML, including t(15;17)[PML-RARalpha], t(8;21)[AML1-ETO], inv(16) [CBFbeta-MYH11], MLL chimeric fusion genes, and cases classified as FAB-M7. When subsets of these genes were used in supervised learning algorithms, an overall classification accuracy of more than 93% was achieved. Moreover, we were able to use the expression signatures generated from the pediatric samples to accurately classify adult de novo AMLs with the same genetic lesions. The class discriminating genes also provided novel insights into the molecular pathobiology of these leukemias. Finally, using a combined pediatric data set of 130 AMLs and 137 acute lymphoblastic leukemias, we identified an expression signature for cases with MLL chimeric fusion genes irrespective of lineage. Surprisingly, AMLs containing partial tandem duplications of MLL failed to cluster with MLL chimeric fusion gene cases, suggesting a significant difference in their underlying mechanism of transformation."}
{"STANDARD_NAME":"DER_IFN_GAMMA_RESPONSE_DN","SYSTEMATIC_NAME":"M8478","ORGANISM":"Homo sapiens","PMID":"9861020","AUTHORS":"Der SD,Zhou A,Williams BR,Silverman RH","EXACT_SOURCE":"Table 3: IFN gamma","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes down-regulated in HT1080 (fibrosarcoma) cells by treatment with interferon gamma for 6 h.","DESCRIPTION_FULL":"The pleiotropic activities of interferons (IFNs) are mediated primarily through the transcriptional regulation of many downstream effector genes. The mRNA profiles from IFN-alpha, -beta, or -gamma treatments of the human fibrosarcoma cell line, HT1080, were determined by using oligonucleotide arrays with probe sets corresponding to more than 6,800 human genes. Among these were transcripts for known IFN-stimulated genes (ISGs), the expression of which were consistent with previous studies in which the particular ISG was characterized as responsive to either Type I (alpha, beta) or Type II (gamma) IFNs, or both. Importantly, many novel IFN-stimulated genes were identified that were diverse in their known biological functions. For instance, several novel ISGs were identified that are implicated in apoptosis (including RAP46/Bag-1, phospholipid scramblase, and hypoxia inducible factor-1alpha). Furthermore, several IFN-repressed genes also were identified. These results demonstrate the usefulness of oligonucleotide arrays in monitoring mammalian gene expression on a broad and unprecedented scale. In particular, these findings provide insights into the basic mechanisms of IFN actions and ultimately may contribute to better therapeutic uses for IFNs."}
{"STANDARD_NAME":"POMEROY_MEDULLOBLASTOMA_PROGNOSIS_UP","SYSTEMATIC_NAME":"M18328","ORGANISM":"Homo sapiens","PMID":"11807556","AUTHORS":"Pomeroy SL,Tamayo P,Gaasenbeek M,Sturla LM,Angelo M,McLaughlin ME,Kim JY,Goumnerova LC,Black PM,Lau C,Allen JC,Zagzag D,Olson JM,Curran T,Wetmore C,Biegel JA,Poggio T,Mukherjee S,Rifkin R,Califano A,Stolovitzky G,Louis DN,Mesirov JP,Lander ES,Golub TR","EXACT_SOURCE":"Fig. 4: Markers of survival","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jean Junior","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top marker genes in medulloblastoma associated with good response to treatment (good outcome).","DESCRIPTION_FULL":"Embryonal tumours of the central nervous system (CNS) represent a heterogeneous group of tumours about which little is known biologically, and whose diagnosis, on the basis of morphologic appearance alone, is controversial. Medulloblastomas, for example, are the most common malignant brain tumour of childhood, but their pathogenesis is unknown, their relationship to other embryonal CNS tumours is debated, and patients' response to therapy is difficult to predict. We approached these problems by developing a classification system based on DNA microarray gene expression data derived from 99 patient samples. Here we demonstrate that medulloblastomas are molecularly distinct from other brain tumours including primitive neuroectodermal tumours (PNETs), atypical teratoid/rhabdoid tumours (AT/RTs) and malignant gliomas. Previously unrecognized evidence supporting the derivation of medulloblastomas from cerebellar granule cells through activation of the Sonic Hedgehog (SHH) pathway was also revealed. We show further that the clinical outcome of children with medulloblastomas is highly predictable on the basis of the gene expression profiles of their tumours at diagnosis."}
{"STANDARD_NAME":"CHEOK_RESPONSE_TO_HD_MTX_UP","SYSTEMATIC_NAME":"M114","ORGANISM":"Homo sapiens","PMID":"12704389","AUTHORS":"Cheok MH,Yang W,Pui CH,Downing JR,Cheng C,Naeve CW,Relling MV,Evans WE","GEOID":"GSE412","EXACT_SOURCE":"Table 2S: HD DC > 0 & HD p val. < 0.01","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jean Junior","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes specifically up-regulated in pediatric acute lymphoblastic leukemia (ALL) patients by high-dose methotrexate (HDMTX) [PubChem=4112].","DESCRIPTION_FULL":"To elucidate the genomics of cellular responses to cancer treatment, we analyzed the expression of over 9,600 human genes in acute lymphoblastic leukemia cells before and after in vivo treatment with methotrexate and mercaptopurine given alone or in combination. Based on changes in gene expression, we identified 124 genes that accurately discriminated among the four treatments. Discriminating genes included those involved in apoptosis, mismatch repair, cell cycle control and stress response. Only 14% of genes that changed when these medications were given as single agents also changed when they were given together. These data indicate that lymphoid leukemia cells of different molecular subtypes share common pathways of genomic response to the same treatment, that changes in gene expression are treatment-specific and that gene expression can illuminate differences in cellular response to drug combinations versus single agents."}
{"STANDARD_NAME":"MAGRANGEAS_MULTIPLE_MYELOMA_IGG_VS_IGA_UP","SYSTEMATIC_NAME":"M1419","ORGANISM":"Homo sapiens","PMID":"12623842","AUTHORS":"Magrangeas F,Nasser V,Avet-Loiseau H,Loriod B,Decaux O,Granjeaud S,Bertucci F,Birnbaum D,Nguyen C,Harousseau JL,Bataille R,Houlgatte R,Minvielle S","EXACT_SOURCE":"Table 1: Discriminating score > 0","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kate Stafford","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Up-regulated genes discriminating multiple myeloma samples by type of immunoglobulin they produce: IgG vs IgA.","DESCRIPTION_FULL":"Although multiple myeloma (MM) is a unique entity, a marked heterogeneity is actually observed among the patients, which has been first related to immunoglobulin (Ig) types and light chain subtypes and more recently to chromosomal abnormalities. To further investigate this genetic heterogeneity, we analyzed gene expression profiles of 92 primary tumors according to their Ig types and light chain subtypes with DNA microarrays. Several clusters of genes involved in various biologic functions such as immune response, cell cycle control, signaling, apoptosis, cell adhesion, and structure significantly discriminated IgA- from IgG-MM. Genes associated with inhibition of differentiation and apoptosis induction were up-regulated while genes associated with immune response, cell cycle control, and apoptosis were down-regulated in IgA-MM. According to the expression of the 61 most discriminating genes, BJ-MM represented a separate subgroup that did not express either the genes characteristic of IgG-MM or those of IgA-MM at a high level. This suggests that transcriptional programs associated to the switch could be maintained up to plasma cell differentiation. Several genes whose products are known to stimulate bone remodeling discriminate between kappa- and lambda-MM. One of these genes, Mip-1alpha, was overexpressed in the kappa subgroup. In addition, we established a strong association (P =.0001) between kappa subgroup expressing high levels of Mip-1alpha and active myeloma bone disease. This study shows that DNA microarrays enable us to perform a molecular dissection of the bioclinical diversity of MM and provide new molecular tools to investigate the pathogenesis of malignant plasma cells."}
{"STANDARD_NAME":"SMITH_TERT_TARGETS_DN","SYSTEMATIC_NAME":"M1217","ORGANISM":"Homo sapiens","PMID":"12717449","AUTHORS":"Smith LL,Coller HA,Roberts JM","GEOID":"GSE361","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes consistently down-regulated in HMEC cells (primary mammary epithelium) upon expression of TERT [GeneID=7015] off a retroviral vector.","DESCRIPTION_FULL":"Most somatic cells do not express sufficient amounts of telomerase to maintain a constant telomere length during cycles of chromosome replication. Consequently, there is a limit to the number of doublings somatic cells can undergo before telomere shortening triggers an irreversible state of cellular senescence. Ectopic expression of telomerase overcomes this limitation, and in conjunction with specific oncogenes can transform cells to a tumorigenic phenotype. However, recent studies have questioned whether the stabilization of chromosome ends entirely explains the ability of telomerase to promote tumorigenesis and have resulted in the hypothesis that telomerase has a second function that also supports cell division. Here we show that ectopic expression of telomerase in human mammary epithelial cells (HMECs) results in a diminished requirement for exogenous mitogens and that this correlates with telomerase-dependent induction of genes that promote cell growth. Furthermore, we show that inhibiting expression of one of these genes, the epidermal growth factor receptor (EGFR), reverses the enhanced proliferation caused by telomerase. We conclude that telomerase may affect proliferation of epithelial cells not only by stabilizing telomeres, but also by affecting the expression of growth-promoting genes."}
{"STANDARD_NAME":"SHIPP_DLBCL_VS_FOLLICULAR_LYMPHOMA_DN","SYSTEMATIC_NAME":"M8813","ORGANISM":"Homo sapiens","PMID":"11786909","AUTHORS":"Shipp MA,Ross KN,Tamayo P,Weng AP,Kutok JL,Aguiar RC,Gaasenbeek M,Angelo M,Reich M,Pinkus GS,Ray TS,Koval MA,Last KW,Norton A,Lister TA,Mesirov J,Neuberg DS,Lander ES,Aster JC,Golub TR","EXACT_SOURCE":"Suppl. Data: section 3; DLBCL versus FL Distinction; Distinction = FL","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jean Junior","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top 50 down-regulated markers distinguishing diffuse large B-cell lymphoma (DLBCL) from follicular lymphoma (FL) samples.","DESCRIPTION_FULL":"Diffuse large B-cell lymphoma (DLBCL), the most common lymphoid malignancy in adults, is curable in less than 50% of patients. Prognostic models based on pre-treatment characteristics, such as the International Prognostic Index (IPI), are currently used to predict outcome in DLBCL. However, clinical outcome models identify neither the molecular basis of clinical heterogeneity, nor specific therapeutic targets. We analyzed the expression of 6,817 genes in diagnostic tumor specimens from DLBCL patients who received cyclophosphamide, adriamycin, vincristine and prednisone (CHOP)-based chemotherapy, and applied a supervised learning prediction method to identify cured versus fatal or refractory disease. The algorithm classified two categories of patients with very different five-year overall survival rates (70% versus 12%). The model also effectively delineated patients within specific IPI risk categories who were likely to be cured or to die of their disease. Genes implicated in DLBCL outcome included some that regulate responses to B-cell-receptor signaling, critical serine/threonine phosphorylation pathways and apoptosis. Our data indicate that supervised learning classification techniques can predict outcome in DLBCL and identify rational targets for intervention."}
{"STANDARD_NAME":"CHEOK_RESPONSE_TO_MERCAPTOPURINE_AND_LD_MTX_DN","SYSTEMATIC_NAME":"M2978","ORGANISM":"Homo sapiens","PMID":"12704389","AUTHORS":"Cheok MH,Yang W,Pui CH,Downing JR,Cheng C,Naeve CW,Relling MV,Evans WE","GEOID":"GSE412","EXACT_SOURCE":"Table 2S: LDMP DC < 0 & LDMP p val. < 0.01","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jean Junior","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes specifically down-regulated in pediatric acute lymphoblastic leukemia (ALL) patients by mercaptopurine [PubChem=667490] and low-dose methotrexate (LDMTX) [PubChem=4112].","DESCRIPTION_FULL":"To elucidate the genomics of cellular responses to cancer treatment, we analyzed the expression of over 9,600 human genes in acute lymphoblastic leukemia cells before and after in vivo treatment with methotrexate and mercaptopurine given alone or in combination. Based on changes in gene expression, we identified 124 genes that accurately discriminated among the four treatments. Discriminating genes included those involved in apoptosis, mismatch repair, cell cycle control and stress response. Only 14% of genes that changed when these medications were given as single agents also changed when they were given together. These data indicate that lymphoid leukemia cells of different molecular subtypes share common pathways of genomic response to the same treatment, that changes in gene expression are treatment-specific and that gene expression can illuminate differences in cellular response to drug combinations versus single agents."}
{"STANDARD_NAME":"LEE_LIVER_CANCER_CIPROFIBRATE_UP","SYSTEMATIC_NAME":"M2195","ORGANISM":"Mus musculus","PMID":"15565109","AUTHORS":"Lee JS,Chu IS,Mikaelyan A,Calvisi DF,Heo J,Reddy JK,Thorgeirsson SS","GEOID":"GSE1897","EXACT_SOURCE":"GSE1897: top 100 up-regulated in CIP; convertied to human orthologs","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes up-regulated in hepatocellular carcinoma (HCC) induced by ciprofibrate [PubChem=2763].","DESCRIPTION_FULL":"Genetically modified mice have been extensively used for analyzing the molecular events that occur during tumor development. In many, if not all, cases, however, it is uncertain to what extent the mouse models reproduce features observed in the corresponding human conditions. This is due largely to lack of precise methods for direct and comprehensive comparison at the molecular level of the mouse and human tumors. Here we use global gene expression patterns of 68 hepatocellular carcinomas (HCCs) from seven different mouse models and 91 human HCCs from predefined subclasses to obtain direct comparison of the molecular features of mouse and human HCCs. Gene expression patterns in HCCs from Myc, E2f1 and Myc E2f1 transgenic mice were most similar to those of the better survival group of human HCCs, whereas the expression patterns in HCCs from Myc Tgfa transgenic mice and in diethylnitrosamine-induced mouse HCCs were most similar to those of the poorer survival group of human HCCs. Gene expression patterns in HCCs from Acox1(-/-) mice and in ciprofibrate-induced HCCs were least similar to those observed in human HCCs. We conclude that our approach can effectively identify appropriate mouse models to study human cancers."}
{"STANDARD_NAME":"IIZUKA_LIVER_CANCER_PROGRESSION_L1_G1_UP","SYSTEMATIC_NAME":"M11507","ORGANISM":"Homo sapiens","PMID":"15710396","AUTHORS":"Iizuka N,Oka M,Yamada-Okabe H,Mori N,Tamesa T,Okada T,Takemoto N,Sakamoto K,Hamada K,Ishitsuka H,Miyamoto T,Uchimura S,Hamamoto Y","EXACT_SOURCE":"Table 3: genes downregulated in G1 in comparison with L1","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes up-regulated during transition from L1 (non-tumor, infected with HCV) to G1 (well differentiated tumor, infected with HCV) in the development of hepatocellular carcinoma.","DESCRIPTION_FULL":"Using high-density oligonucleotide array, we comprehensively analyzed expression levels of 12600 genes in 50 hepatocellular carcinoma (HCC) samples with positive hepatitis C virus (HCV) serology (well (G1), moderately (G2), and poorly (G3) differentiated tumors) and 11 non-tumorous livers (L1 and L0) with and without HCV infection. We searched for discriminatory genes of transition (L0 vs. L1, L1 vs. G1, G1 vs. G2, G2 vs. G3) with a supervised learning method, and then arranged the samples by self-organizing map (SOM) with the discriminatory gene sets. The SOM arranged the five clusters on a unique sigmoidal curve in the order L0, L1, G1, G2, and G3. The sample arrangement reproduced development-related features of HCC such as p53 abnormality. Strikingly, G2 tumors without venous invasion were located closer to the G1 cluster, and most G2 tumors with venous invasion were located closer to the G3 cluster (P=0.001 by Fisher's exact test). Our present profiling data will serve as a framework to understand the relation between the development and dedifferentiation of HCC."}
{"STANDARD_NAME":"BYSTRYKH_HEMATOPOIESIS_STEM_CELL_FLI1","SYSTEMATIC_NAME":"M3254","ORGANISM":"Mus musculus","PMID":"15711547","AUTHORS":"Bystrykh L,Weersing E,Dontje B,Sutton S,Pletcher MT,Wiltshire T,Su AI,Vellenga E,Wang J,Manly KF,Lu L,Chesler EJ,Alberts R,Jansen RC,Williams RW,Cooke MP,de Haan G","GEOID":"GSE2031","EXACT_SOURCE":"Table 3: Fli1","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jean Junior","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes whose expression is coregulated with that of FLI1 [GeneID=2313] in hematopoietic stem cells (HSC).","DESCRIPTION_FULL":"We combined large-scale mRNA expression analysis and gene mapping to identify genes and loci that control hematopoietic stem cell (HSC) function. We measured mRNA expression levels in purified HSCs isolated from a panel of densely genotyped recombinant inbred mouse strains. We mapped quantitative trait loci (QTLs) associated with variation in expression of thousands of transcripts. By comparing the physical transcript position with the location of the controlling QTL, we identified polymorphic cis-acting stem cell genes. We also identified multiple trans-acting control loci that modify expression of large numbers of genes. These groups of coregulated transcripts identify pathways that specify variation in stem cells. We illustrate this concept with the identification of candidate genes involved with HSC turnover. We compared expression QTLs in HSCs and brain from the same mice and identified both shared and tissue-specific QTLs. Our data are accessible through WebQTL, a web-based interface that allows custom genetic linkage analysis and identification of coregulated transcripts."}
{"STANDARD_NAME":"MAGRANGEAS_MULTIPLE_MYELOMA_IGLL_VS_IGLK_DN","SYSTEMATIC_NAME":"M1420","ORGANISM":"Homo sapiens","PMID":"12623842","AUTHORS":"Magrangeas F,Nasser V,Avet-Loiseau H,Loriod B,Decaux O,Granjeaud S,Bertucci F,Birnbaum D,Nguyen C,Harousseau JL,Bataille R,Houlgatte R,Minvielle S","EXACT_SOURCE":"Table 2: Discriminating score < 0","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kate Stafford","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated genes discriminating multiple myeloma samples by the ype of immunoglobulin light chain they produce: Ig lambda (IGLL) vs Ig kappa (IGLK).","DESCRIPTION_FULL":"Although multiple myeloma (MM) is a unique entity, a marked heterogeneity is actually observed among the patients, which has been first related to immunoglobulin (Ig) types and light chain subtypes and more recently to chromosomal abnormalities. To further investigate this genetic heterogeneity, we analyzed gene expression profiles of 92 primary tumors according to their Ig types and light chain subtypes with DNA microarrays. Several clusters of genes involved in various biologic functions such as immune response, cell cycle control, signaling, apoptosis, cell adhesion, and structure significantly discriminated IgA- from IgG-MM. Genes associated with inhibition of differentiation and apoptosis induction were up-regulated while genes associated with immune response, cell cycle control, and apoptosis were down-regulated in IgA-MM. According to the expression of the 61 most discriminating genes, BJ-MM represented a separate subgroup that did not express either the genes characteristic of IgG-MM or those of IgA-MM at a high level. This suggests that transcriptional programs associated to the switch could be maintained up to plasma cell differentiation. Several genes whose products are known to stimulate bone remodeling discriminate between kappa- and lambda-MM. One of these genes, Mip-1alpha, was overexpressed in the kappa subgroup. In addition, we established a strong association (P =.0001) between kappa subgroup expressing high levels of Mip-1alpha and active myeloma bone disease. This study shows that DNA microarrays enable us to perform a molecular dissection of the bioclinical diversity of MM and provide new molecular tools to investigate the pathogenesis of malignant plasma cells."}
{"STANDARD_NAME":"DORSAM_HOXA9_TARGETS_DN","SYSTEMATIC_NAME":"M6051","ORGANISM":"Homo sapiens","PMID":"14604967","AUTHORS":"Dorsam ST,Ferrell CM,Dorsam GP,Derynck MK,Vijapurkar U,Khodabakhsh D,Pau B,Bernstein H,Haqq CM,Largman C,Lawrence HJ","EXACT_SOURCE":"Fig 6:Downregulated by HOXA9","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"HOXA9 [GeneID=3205] targets down-regulated in hematopoietic stem cells.","DESCRIPTION_FULL":"Hematopoietic defects in HOXA9(-/-) mice demonstrate a key role for this homeoprotein in blood cell development. Conversely, enforced HOXA9 expression is leukemogenic in mice, and HOXA9 is frequently activated in human acute myeloid leukemia (AML). Although HOXA9 is thought to function as a transcription factor, few downstream targets have been identified. We searched for early HOXA9 target genes by using a transient overexpression strategy in 3 hematopoietic cell lines (2 myeloid, 1 lymphoid). cDNA microarray analyses identified 220 genes whose expression was modulated at least 2-fold. Expression signatures in myeloid and lymphoid cells demonstrated that HOXA9 functions as both an activator and repressor of a variety of genes in cell-specific patterns suggesting that the transcriptional effects of HOXA9 are largely dependent on the cell context. Transient transcription assays and target gene expression patterns in HOXA9(-/-) marrow cells imply that we have identified direct physiologic targets. Many target genes are expressed in CD34+ stem cells or are members of gene families involved in proliferation or myeloid differentiation. Expression of 14 HOXA9 target genes correlated with high-level HOXA9 expression in primary AML. These data suggest that many genes identified in this survey may mediate the biologic effects of HOXA9 in normal and leukemic hematopoiesis."}
{"STANDARD_NAME":"GRANDVAUX_IRF3_TARGETS_DN","SYSTEMATIC_NAME":"M11814","ORGANISM":"Homo sapiens","PMID":"11991981","AUTHORS":"Grandvaux N,Servant MJ,tenOever B,Sen GC,Balachandran S,Barber GN,Lin R,Hiscott J","EXACT_SOURCE":"Table 2: fold induction < 0","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes down-regulated in Jurkat cells (T lymphocyte) by expression of a constitutively active form of IRF3 [GeneID=3661].","DESCRIPTION_FULL":"Ubiquitously expressed interferon regulatory factor 3 (IRF-3) is directly activated after virus infection and functions as a key activator of the immediate-early alpha/beta interferon (IFN) genes, as well as the RANTES chemokine gene. In the present study, a tetracycline-inducible expression system expressing a constitutively active form of IRF-3 (IRF-3 5D) was combined with DNA microarray analysis to identify target genes regulated by IRF-3. Changes in mRNA expression profiles of 8,556 genes were monitored after Tet-inducible expression of IRF-3 5D. Among the genes upregulated by IRF-3 were transcripts for several known IFN-stimulated genes (ISGs). Subsequent analysis revealed that IRF-3 directly induced the expression of ISG56 in an IFN-independent manner through the IFN-stimulated responsive elements (ISREs) of the ISG56 promoter. These results demonstrate that, in addition to its role in the formation of a functional immediate-early IFN-beta enhanceosome, IRF-3 is able to discriminate among ISRE-containing genes involved in the establishment of the antiviral state as a direct response to virus infection."}
{"STANDARD_NAME":"IIZUKA_LIVER_CANCER_EARLY_RECURRENCE","SYSTEMATIC_NAME":"M10382","ORGANISM":"Homo sapiens","PMID":"12648972","AUTHORS":"Iizuka N,Oka M,Yamada-Okabe H,Nishida M,Maeda Y,Mori N,Takao T,Tamesa T,Tangoku A,Tabuchi H,Hamada K,Nakayama H,Ishitsuka H,Miyamoto T,Hirabayashi A,Uchimura S,Hamamoto Y","EXACT_SOURCE":"Fig 3B: green in Group A","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes down-regulated in hepatocellular carcinoma (HCC) tumors with higher risk of early intrahepatic recurrence. The single up-regulated gene (GenBank Accession=AC000063) has been excluded from the signature.","DESCRIPTION_FULL":"BACKGROUND: Hepatocellular carcinoma has a poor prognosis because of the high intrahepatic recurrence rate. There are technological limitations to traditional methods such as TNM staging for accurate prediction of recurrence, suggesting that new techniques are needed. METHODS: We investigated mRNA expression profiles in tissue specimens from a training set, comprising 33 patients with hepatocellular carcinoma, with high-density oligonucleotide microarrays representing about 6000 genes. We used this training set in a supervised learning manner to construct a predictive system, consisting of 12 genes, with the Fisher linear classifier. We then compared the predictive performance of our system with that of a predictive system with a support vector machine (SVM-based system) on a blinded set of samples from 27 newly enrolled patients. FINDINGS: Early intrahepatic recurrence within 1 year after curative surgery occurred in 12 (36%) and eight (30%) patients in the training and blinded sets, respectively. Our system correctly predicted early intrahepatic recurrence or non-recurrence in 25 (93%) of 27 samples in the blinded set and had a positive predictive value of 88% and a negative predictive value of 95%. By contrast, the SVM-based system predicted early intrahepatic recurrence or non-recurrence correctly in only 16 (60%) individuals in the blinded set, and the result yielded a positive predictive value of only 38% and a negative predictive value of 79%. INTERPRETATION: Our system predicted early intrahepatic recurrence or non-recurrence for patients with hepatocellular carcinoma much more accurately than the SVM-based system, suggesting that our system could serve as a new method for characterising the metastatic potential of hepatocellular carcinoma."}
{"STANDARD_NAME":"RADAEVA_RESPONSE_TO_IFNA1_DN","SYSTEMATIC_NAME":"M19208","ORGANISM":"Homo sapiens","PMID":"11910354","AUTHORS":"Radaeva S,Jaruga B,Hong F,Kim WH,Fan S,Cai H,Strom S,Liu Y,El-Assal O,Gao B","EXACT_SOURCE":"Table 2","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes down-regulated in primary hepatocytes and Hep3B (hepatocyte) cells in response to IFNA [GeneID=3439].","DESCRIPTION_FULL":"BACKGROUND & AIMS: Interferon (IFN)-alpha therapy is currently the primary choice for viral hepatitis and a promising treatment for hepatocellular carcinoma (HCC). Primary mouse and rat hepatocytes respond poorly to IFN-alpha stimulation. Thus, it is very important to examine the IFN-alpha signal pathway in primary human hepatocytes. METHODS: The IFN-alpha-activated signals and genes in primary human hepatocytes and hepatoma cells were examined by Western blotting and microarray analyses. RESULTS: Primary human hepatocytes respond very well to IFN-alpha stimulation as shown by activation of multiple signal transducer and activator of transcription factor (STAT) 1, 2, 3, 5, and multiple genes. The differential response to IFN-alpha stimulation in primary human and mouse hepatocytes may be caused by expression of predominant functional IFN-alpha receptor 2c (IFNAR2c) in primary human hepatocytes vs. expression of predominant inhibitory IFNAR2a in mouse hepatocytes. Microarray analyses of primary human hepatocytes show that IFN-alpha up-regulates about 44 genes by over 2-fold and down-regulates about 9 genes by 50%. The up-regulated genes include a variety of antiviral and tumor suppressors/proapoptotic genes. The down-regulated genes include c-myc and c-Met, the hepatocyte growth factor (HGF) receptor. Down-regulation of c-Met is caused by IFN-alpha suppression of the c-Met promoter through down-regulation of Sp1 binding and results in attenuation of HGF-induced signals and cell proliferation. CONCLUSIONS: IFN-alpha directly targets human hepatocytes, followed by activation of multiple STATs and regulation of a wide variety of genes, which may contribute to the antiviral and antitumor activities of IFN-alpha in human liver."}
{"STANDARD_NAME":"BECKER_TAMOXIFEN_RESISTANCE_DN","SYSTEMATIC_NAME":"M15676","ORGANISM":"Homo sapiens","PMID":"15657362","AUTHORS":"Becker M,Sommer A,Krätzschmar JR,Seidel H,Pohlenz HD,Fichtner I","EXACT_SOURCE":"Table 2B: HuGeneFL and Hu95Av2","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jean Junior","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in a breast cancer cell line resistant to tamoxifen [PubChem=5376] compared to the parental line sensitive to the drug.","DESCRIPTION_FULL":"The reasons why human mammary tumors become resistant to tamoxifen therapy are mainly unknown. Changes in gene expression may occur as cells acquire resistance to antiestrogens. We therefore undertook a comparative gene expression analysis of tamoxifen-sensitive and tamoxifen-resistant human breast cancer in vivo models using Affymetrix oligonucleotide arrays to analyze differential gene expression. Total RNAs from the tamoxifen-sensitive patient-derived mammary carcinoma xenograft MaCa 3366 and the tamoxifen-resistant model MaCa 3366/TAM were hybridized to Affymetrix HuGeneFL and to Hu95Av2 arrays. Pairwise comparisons and clustering algorithms were applied to identify differentially expressed genes and patterns of gene expression. As revealed by cluster analysis, the tamoxifen-sensitive and the tamoxifen-resistant breast carcinomas differed regarding their gene expression pattern. More than 100 transcripts are changed in abundance in MaCa 3366/TAM as compared with MaCa 3366. Among the genes that are differentially expressed in the tamoxifen-resistant tumors, there are several IFN-inducible and estrogen-responsive genes, and genes known to be involved in breast carcinogenesis. The genes neuronatin (NNAT) and bone marrow stem cell antigen 2 (BST2) were sharply up-regulated in MaCa 3366/TAM. The differential expression of four genes (NNAT, BST2, IGFBP5, and BCAS1) was confirmed by Taqman PCR. Our results provide the starting point for deriving markers for tamoxifen resistance by differential gene expression profiling in a human breast cancer model of acquired tamoxifen resistance. Finally, genes whose expression profiles are distinctly changed between the two xenograft lines will be further evaluated as potential targets for diagnostic or therapeutic approaches of tamoxifen-resistant breast cancer."}
{"STANDARD_NAME":"KLEIN_PRIMARY_EFFUSION_LYMPHOMA_UP","SYSTEMATIC_NAME":"M12993","ORGANISM":"Homo sapiens","PMID":"12531789","AUTHORS":"Klein U,Gloghini A,Gaidano G,Chadburn A,Cesarman E,Dalla-Favera R,Carbone A","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kate Stafford","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in AIDS-related primary effusion lymphoma (PEL) samples compared to other tumor subtypes and normal B lymphocytes.","DESCRIPTION_FULL":"AIDS-related primary effusion lymphoma (PEL) is an HIV-associated malignancy characterized by the ability of the tumor cells to specifically home in the serous body cavities. Here we used gene expression profile analysis (about 12 000 genes) to further define the phenotype of PEL and to investigate the lymphoma relationship to normal B cells and to other tumor subtypes, including non-Hodgkin lymphomas (NHLs) of immunocompetent hosts and AIDS-associated NHL (AIDS-NHL). The results showed that PEL displayed a common gene expression profile that is clearly distinct from all NHLs of immunocompetent hosts and AIDS-NHL subtypes and, in contrast to those, is not related to germinal center (GC) or memory B cells. The gene expression profile of PEL was defined as plasmablastic because it showed features of both immunoblasts identified by Epstein-Barr virus (EBV)-transformed lymphoblastoid cell lines and AIDS immunoblastic lymphoma, and plasma cells, as defined by multiple myeloma cell lines. Finally, our results identify a set of genes specifically expressed in PEL tumor cells. Their expression was validated at the protein level, suggesting their potential pathogenetic and clinical significance."}
{"STANDARD_NAME":"LEE_LIVER_CANCER_DENA_UP","SYSTEMATIC_NAME":"M16524","ORGANISM":"Mus musculus","PMID":"15565109","AUTHORS":"Lee JS,Chu IS,Mikaelyan A,Calvisi DF,Heo J,Reddy JK,Thorgeirsson SS","GEOID":"GSE1897","EXACT_SOURCE":"GSE1897: top 100 up-regulated in DENA; converted to human orthologs","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes up-regulated in hepatocellular carcinoma (HCC) induced by diethylnitrosamine (DENA) [PubChem=5921].","DESCRIPTION_FULL":"Genetically modified mice have been extensively used for analyzing the molecular events that occur during tumor development. In many, if not all, cases, however, it is uncertain to what extent the mouse models reproduce features observed in the corresponding human conditions. This is due largely to lack of precise methods for direct and comprehensive comparison at the molecular level of the mouse and human tumors. Here we use global gene expression patterns of 68 hepatocellular carcinomas (HCCs) from seven different mouse models and 91 human HCCs from predefined subclasses to obtain direct comparison of the molecular features of mouse and human HCCs. Gene expression patterns in HCCs from Myc, E2f1 and Myc E2f1 transgenic mice were most similar to those of the better survival group of human HCCs, whereas the expression patterns in HCCs from Myc Tgfa transgenic mice and in diethylnitrosamine-induced mouse HCCs were most similar to those of the poorer survival group of human HCCs. Gene expression patterns in HCCs from Acox1(-/-) mice and in ciprofibrate-induced HCCs were least similar to those observed in human HCCs. We conclude that our approach can effectively identify appropriate mouse models to study human cancers."}
{"STANDARD_NAME":"FLECHNER_BIOPSY_KIDNEY_TRANSPLANT_OK_VS_DONOR_DN","SYSTEMATIC_NAME":"M15841","ORGANISM":"Homo sapiens","PMID":"15307835","AUTHORS":"Flechner SM,Kurian SM,Head SR,Sharp SM,Whisenant TC,Zhang J,Chismar JD,Horvath S,Mondala T,Gilmartin T,Cook DJ,Kay SA,Walker JR,Salomon DR","GEOID":"GSE1563","EXACT_SOURCE":"Final annotated Gene list BX C vs Tx down in Tx","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jean Junior","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in kidney biopsies from patients with well functioning kidneys more than 1-year post transplant compared to the biopsies from normal living kidney donors.","DESCRIPTION_FULL":"A major challenge for kidney transplantation is balancing the need for immunosuppression to prevent rejection, while minimizing drug-induced toxicities. We used DNA microarrays (HG-U95Av2 GeneChips, Affymetrix) to determine gene expression profiles for kidney biopsies and peripheral blood lymphocytes (PBLs) in transplant patients including normal donor kidneys, well-functioning transplants without rejection, kidneys undergoing acute rejection, and transplants with renal dysfunction without rejection. We developed a data analysis schema based on expression signal determination, class comparison and prediction, hierarchical clustering, statistical power analysis and real-time quantitative PCR validation. We identified distinct gene expression signatures for both biopsies and PBLs that correlated significantly with each of the different classes of transplant patients. This is the most complete report to date using commercial arrays to identify unique expression signatures in transplant biopsies distinguishing acute rejection, acute dysfunction without rejection and well-functioning transplants with no rejection history. We demonstrate for the first time the successful application of high density DNA chip analysis of PBL as a diagnostic tool for transplantation. The significance of these results, if validated in a multicenter prospective trial, would be the establishment of a metric based on gene expression signatures for monitoring the immune status and immunosuppression of transplanted patients."}
{"STANDARD_NAME":"MAGRANGEAS_MULTIPLE_MYELOMA_IGLL_VS_IGLK_UP","SYSTEMATIC_NAME":"M1422","ORGANISM":"Homo sapiens","PMID":"12623842","AUTHORS":"Magrangeas F,Nasser V,Avet-Loiseau H,Loriod B,Decaux O,Granjeaud S,Bertucci F,Birnbaum D,Nguyen C,Harousseau JL,Bataille R,Houlgatte R,Minvielle S","EXACT_SOURCE":"Table 2: Discriminating score > 0","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kate Stafford","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Up-regulated genes discriminating multiple myeloma samples by the ype of immunoglobulin light chain they produce: Ig lambda (IGLL) vs Ig kappa (IGLK).","DESCRIPTION_FULL":"Although multiple myeloma (MM) is a unique entity, a marked heterogeneity is actually observed among the patients, which has been first related to immunoglobulin (Ig) types and light chain subtypes and more recently to chromosomal abnormalities. To further investigate this genetic heterogeneity, we analyzed gene expression profiles of 92 primary tumors according to their Ig types and light chain subtypes with DNA microarrays. Several clusters of genes involved in various biologic functions such as immune response, cell cycle control, signaling, apoptosis, cell adhesion, and structure significantly discriminated IgA- from IgG-MM. Genes associated with inhibition of differentiation and apoptosis induction were up-regulated while genes associated with immune response, cell cycle control, and apoptosis were down-regulated in IgA-MM. According to the expression of the 61 most discriminating genes, BJ-MM represented a separate subgroup that did not express either the genes characteristic of IgG-MM or those of IgA-MM at a high level. This suggests that transcriptional programs associated to the switch could be maintained up to plasma cell differentiation. Several genes whose products are known to stimulate bone remodeling discriminate between kappa- and lambda-MM. One of these genes, Mip-1alpha, was overexpressed in the kappa subgroup. In addition, we established a strong association (P =.0001) between kappa subgroup expressing high levels of Mip-1alpha and active myeloma bone disease. This study shows that DNA microarrays enable us to perform a molecular dissection of the bioclinical diversity of MM and provide new molecular tools to investigate the pathogenesis of malignant plasma cells."}
{"STANDARD_NAME":"FLECHNER_PBL_KIDNEY_TRANSPLANT_REJECTED_VS_OK_UP","SYSTEMATIC_NAME":"M10243","ORGANISM":"Homo sapiens","PMID":"15307835","AUTHORS":"Flechner SM,Kurian SM,Head SR,Sharp SM,Whisenant TC,Zhang J,Chismar JD,Horvath S,Mondala T,Gilmartin T,Cook DJ,Kay SA,Walker JR,Salomon DR","GEOID":"GSE1563","EXACT_SOURCE":"Final annotated Gene list PBL Tx vs AR up in AR","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jean Junior","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in peripheral blood lymphocytes (PBL) from patients with acute transplant rejection compared to those from patients with well functioning kidneys more than 1-year post transplant.","DESCRIPTION_FULL":"A major challenge for kidney transplantation is balancing the need for immunosuppression to prevent rejection, while minimizing drug-induced toxicities. We used DNA microarrays (HG-U95Av2 GeneChips, Affymetrix) to determine gene expression profiles for kidney biopsies and peripheral blood lymphocytes (PBLs) in transplant patients including normal donor kidneys, well-functioning transplants without rejection, kidneys undergoing acute rejection, and transplants with renal dysfunction without rejection. We developed a data analysis schema based on expression signal determination, class comparison and prediction, hierarchical clustering, statistical power analysis and real-time quantitative PCR validation. We identified distinct gene expression signatures for both biopsies and PBLs that correlated significantly with each of the different classes of transplant patients. This is the most complete report to date using commercial arrays to identify unique expression signatures in transplant biopsies distinguishing acute rejection, acute dysfunction without rejection and well-functioning transplants with no rejection history. We demonstrate for the first time the successful application of high density DNA chip analysis of PBL as a diagnostic tool for transplantation. The significance of these results, if validated in a multicenter prospective trial, would be the establishment of a metric based on gene expression signatures for monitoring the immune status and immunosuppression of transplanted patients."}
{"STANDARD_NAME":"GOLDRATH_IMMUNE_MEMORY","SYSTEMATIC_NAME":"M10845","ORGANISM":"Mus musculus","PMID":"15548615","AUTHORS":"Goldrath AW,Luckey CJ,Park R,Benoist C,Mathis D","GEOID":"GSE1921","EXACT_SOURCE":"Table 4S","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kate Stafford","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"'Memory genes' expressed uniquely in CD8+ [GeneID=925] memory T lymphocytes (compared with effector or naive cells)","DESCRIPTION_FULL":"Naive T cells proliferate independently of cognate antigen when introduced into lymphopenic hosts. Lymphopenia-induced proliferation depends on low-affinity MHC/self-peptide complexes and on IL-7. To elucidate the intracellular signals mediating this proliferation, we analyzed changes in gene expression in naive CD8+ T cells at different times after their transfer into a lymphopenic environment. The genes induced in response to lymphopenia were largely an attenuated subset of those turned up by full antigenic stimulation, including genes related to cell cycling, whereas excluding genes specifically associated with effector activity. After the initial phase of proliferation in an empty compartment, the naive T cells adopted a stable pattern of gene expression similar to that of antigen-experienced memory cells. Thus, T cells proliferating in lymphopenic hosts do not exhibit a unique gene-expression profile, instead relying on traditional signals for this antigen-independent proliferation; this process ultimately results in differentiation to authentic memory cells."}
{"STANDARD_NAME":"LEE_LIVER_CANCER_E2F1_UP","SYSTEMATIC_NAME":"M18438","ORGANISM":"Mus musculus","PMID":"15565109","AUTHORS":"Lee JS,Chu IS,Mikaelyan A,Calvisi DF,Heo J,Reddy JK,Thorgeirsson SS","GEOID":"GSE1897","EXACT_SOURCE":"GSE1897: top 100 up-regulated in E2f1; converted to human orthologs","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes up-regulated in hepatocellular carcinoma (HCC) induced by overexpression of E2F1 [GeneID=1869].","DESCRIPTION_FULL":"Genetically modified mice have been extensively used for analyzing the molecular events that occur during tumor development. In many, if not all, cases, however, it is uncertain to what extent the mouse models reproduce features observed in the corresponding human conditions. This is due largely to lack of precise methods for direct and comprehensive comparison at the molecular level of the mouse and human tumors. Here we use global gene expression patterns of 68 hepatocellular carcinomas (HCCs) from seven different mouse models and 91 human HCCs from predefined subclasses to obtain direct comparison of the molecular features of mouse and human HCCs. Gene expression patterns in HCCs from Myc, E2f1 and Myc E2f1 transgenic mice were most similar to those of the better survival group of human HCCs, whereas the expression patterns in HCCs from Myc Tgfa transgenic mice and in diethylnitrosamine-induced mouse HCCs were most similar to those of the poorer survival group of human HCCs. Gene expression patterns in HCCs from Acox1(-/-) mice and in ciprofibrate-induced HCCs were least similar to those observed in human HCCs. We conclude that our approach can effectively identify appropriate mouse models to study human cancers."}
{"STANDARD_NAME":"ROSS_AML_WITH_AML1_ETO_FUSION","SYSTEMATIC_NAME":"M8043","ORGANISM":"Homo sapiens","PMID":"15226186","AUTHORS":"Ross ME,Mahfouz R,Onciu M,Liu HC,Zhou X,Song G,Shurtleff SA,Pounds S,Cheng C,Ma J,Ribeiro RC,Rubnitz JE,Girtman K,Williams WK,Raimondi SC,Liang DC,Shih LY,Pui CH,Downing JR","EXACT_SOURCE":"Table S7","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kate Stafford","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top 100 probe sets for pediatric acute myeloid leukemia (AML) subtype t(8;21) ; has AML1 ETO fusion [GeneID=861;862].","DESCRIPTION_FULL":"Contemporary treatment of pediatric acute myeloid leukemia (AML) requires the assignment of patients to specific risk groups. To explore whether expression profiling of leukemic blasts could accurately distinguish between the known risk groups of AML, we analyzed 130 pediatric and 20 adult AML diagnostic bone marrow or peripheral blood samples using the Affymetrix U133A microarray. Class discriminating genes were identified for each of the major prognostic subtypes of pediatric AML, including t(15;17)[PML-RARalpha], t(8;21)[AML1-ETO], inv(16) [CBFbeta-MYH11], MLL chimeric fusion genes, and cases classified as FAB-M7. When subsets of these genes were used in supervised learning algorithms, an overall classification accuracy of more than 93% was achieved. Moreover, we were able to use the expression signatures generated from the pediatric samples to accurately classify adult de novo AMLs with the same genetic lesions. The class discriminating genes also provided novel insights into the molecular pathobiology of these leukemias. Finally, using a combined pediatric data set of 130 AMLs and 137 acute lymphoblastic leukemias, we identified an expression signature for cases with MLL chimeric fusion genes irrespective of lineage. Surprisingly, AMLs containing partial tandem duplications of MLL failed to cluster with MLL chimeric fusion gene cases, suggesting a significant difference in their underlying mechanism of transformation."}
{"STANDARD_NAME":"HASLINGER_B_CLL_WITH_17P13_DELETION","SYSTEMATIC_NAME":"M3256","ORGANISM":"Homo sapiens","PMID":"15459216","AUTHORS":"Haslinger C,Schweifer N,Stilgenbauer S,Döhner H,Lichter P,Kraut N,Stratowa C,Abseher R","GEOID":"GSE2466","EXACT_SOURCE":"Table 3: 17p13","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes changed in the B cell chronic lymphocytic leukemia (B-CLL) with deletions in the 17p13 region.","DESCRIPTION_FULL":"PURPOSE: Genomic aberrations and mutational status of the immunoglobulin variable heavy chain (VH) gene have been shown to be among the most important predictors for outcome in patients with B-cell chronic lymphocytic leukemia (B-CLL). In this study, we report on differential gene expression patterns that are characteristic for genetically defined B-CLL subtypes. MATERIALS AND METHODS: One hundred genetically well-characterized B-CLL samples, together with 11 healthy control samples, were analyzed using oligonucleotide arrays, which test for the expression of some 12,000 human genes. RESULTS: Aiming at microarray-based subclassification, class predictors were constructed using sets of differentially expressed genes, which yielded in zero or low misclassification rates. Furthermore, a significant number of the differentially expressed genes clustered in chromosomal regions affected by the respective genomic losses/gains. Deletions affecting chromosome bands 11q22-q23 and 17p13 led to a reduced expression of the corresponding genes, such as ATM and p53, while trisomy 12 resulted in the upregulation of genes mapping to chromosome arm 12q. Using an unsupervised analysis algorithm, expression profiling allowed partitioning into predominantly VH-mutated versus unmutated patient groups; however, association of the expression profile with the VH mutational status could only be detected in male patients. CONCLUSION: The finding that the most significantly differentially expressed genes are located in the corresponding aberrant chromosomal regions indicates that a gene dosage effect may exert a pathogenic role in B-CLL. The significant difference in the partitioning of male and female B-CLL samples suggests that the genomic signature for the VH mutational status might be sex-related."}
{"STANDARD_NAME":"YAO_HOXA10_TARGETS_VIA_PROGESTERONE_UP","SYSTEMATIC_NAME":"M10660","ORGANISM":"Mus musculus","PMID":"12554760","AUTHORS":"Yao MW,Lim H,Schust DJ,Choe SE,Farago A,Ding Y,Michaud S,Church GM,Maas RL","GEOID":"GSE108,GSE109","EXACT_SOURCE":"Table 3","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in the uteri of ovariectomized mice 6 h after progesterone [PubChem=5994] injection: HOXA10 [GeneID=3206] knockout vs wild type animals.","DESCRIPTION_FULL":"Human infertility and recurrent pregnancy loss caused by implantation defects are poorly understood. Hoxa-10-deficient female mice have severe infertility and recurrent pregnancy loss due to defective uterine implantation. Gene expression profiling experiments reveal that Hoxa-10 is an important regulator of two critical events in implantation: stromal cell proliferation and local immunosuppression. At the time of implantation, Hoxa-10 mediates the progesterone-stimulated proliferation of uterine stromal cells. Hoxa-10 mutants express a stromal cell proliferation defect that is accompanied by quantitative or spatial alterations in the expression of two cyclin-dependent kinase inhibitor genes, p57 and p15. Hoxa-10 deficiency also leads to a severe local immunological disturbance, characterized by a polyclonal proliferation of T cells, that occurs in place of the normal progesterone-mediated immunosuppression in the periimplantation uterus."}
{"STANDARD_NAME":"ZHAN_MULTIPLE_MYELOMA_CD1_UP","SYSTEMATIC_NAME":"M1190","ORGANISM":"Homo sapiens","PMID":"16728703","AUTHORS":"Zhan F,Huang Y,Colla S,Stewart JP,Hanamura I,Gupta S,Epstein J,Yaccoby S,Sawyer J,Burington B,Anaissie E,Hollmig K,Pineda-Roman M,Tricot G,van Rhee F,Walker R,Zangari M,Crowley J,Barlogie B,Shaughnessy JD Jr","GEOID":"GSE2658","EXACT_SOURCE":"Table 2S: Subgroup = CD-1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top 50 up-regulated genes in cluster CD-1 of multiple myeloma samples with the characteristic expression spike of CCND1 [GeneID=595].","DESCRIPTION_FULL":"To better define the molecular basis of multiple myeloma (MM), we performed unsupervised hierarchic clustering of mRNA expression profiles in CD138-enriched plasma cells from 414 newly diagnosed patients who went on to receive high-dose therapy and tandem stem cell transplants. Seven disease subtypes were validated that were strongly influenced by known genetic lesions, such as c-MAF- and MAFB-, CCND1- and CCND3-, and MMSET-activating translocations and hyperdiploidy. Indicative of the deregulation of common pathways by gene orthologs, common gene signatures were observed in cases with c-MAF and MAFB activation and CCND1 and CCND3 activation, the latter consisting of 2 subgroups, one characterized by expression of the early B-cell markers CD20 and PAX5. A low incidence of focal bone disease distinguished one and increased expression of proliferation-associated genes of another novel subgroup. Comprising varying fractions of each of the other 6 subgroups, the proliferation subgroup dominated at relapse, suggesting that this signature is linked to disease progression. Proliferation and MMSET-spike groups were characterized by significant overexpression of genes mapping to chromosome 1q, and both exhibited a poor prognosis relative to the other groups. A subset of cases with a predominating myeloid gene expression signature, excluded from the profiling analyses, had more favorable baseline characteristics and superior prognosis to those lacking this signature."}
{"STANDARD_NAME":"ABBUD_LIF_SIGNALING_1_DN","SYSTEMATIC_NAME":"M1423","ORGANISM":"Mus musculus","PMID":"14576184","AUTHORS":"Abbud RA,Kelleher R,Melmed S","EXACT_SOURCE":"Table 2","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in AtT20 cells (pituitary cancer) after treatment with LIF [GeneID=3976].","DESCRIPTION_FULL":"Leukemia inhibitory factor (LIF) mediates the hypothalamo-pituitary-adrenal stress response. Transgenic mice overexpressing LIF in the developing pituitary have altered pituitary differentiation with expansion of corticotropes, maintenance of Rathke's cleft cysts, and suppression of all other pituitary cell types. Affymetrix GeneChips were used to identify modulators of LIF effects in corticotrope (AtT-20) and somatolactotrope (GH(3)) cells. In addition to genes known to respond to LIF in corticotrope cells [e.g. suppressor of cytokine signaling-3 (SOCS-3), signal transducer and activator of transcription-3, SH2 domain-containing tyrosine phosphatase-1, and proopiomelanocortin (POMC)], corticotrope-specific changes were also observed for genes involved in glycolysis and gluconeogenesis, transcription factors, signaling molecules, and expressed sequence tags. Two transcription factors identified, CCAAT/enhancer-binding protein beta (C/EBPbeta) and glial cell-derived neurotrophic factor (GDNF)-inducible factor (GIF), dose-dependently induced expression of the rat POMC promoter when overexpressed in AtT-20 cells. LIF further induced POMC transcription with C/EBPbeta, but not with GIF. C/EBPbeta also induced expression of the SOCS-3 promoter that was further enhanced by cotreatment with LIF. However, GIF did not affect SOCS-3 expression. These results indicate that C/EBPbeta and GIF are downstream effectors of LIF corticotrope action. LIF also stimulates the expression of inhibitors of its actions, such as SOCS-3 and SH2 domain-containing tyrosine phosphatase-1. alpha(2)-HS-glycoprotein (AHSG)/fetuin, a secreted protein that antagonizes bone TGFbeta/bone morphogenic protein signaling, was induced by LIF in a signal transducer and activator of transcription-3-dependent fashion. Pretreatment with AHSG/fetuin blocked LIF-induced expression of the POMC promoter independently of SOCS-3. Thus, using GeneChips, C/EBPbeta and GIF have been identified as novel mediators and AHSG/fetuin as an inhibitor of LIF action in corticotropes."}
{"STANDARD_NAME":"SANSOM_APC_TARGETS_UP","SYSTEMATIC_NAME":"M1428","ORGANISM":"Mus musculus","PMID":"15198980","AUTHORS":"Sansom OJ,Reed KR,Hayes AJ,Ireland H,Brinkmann H,Newton IP,Batlle E,Simon-Assmann P,Clevers H,Nathke IS,Clarke AR,Winton DJ","EXACT_SOURCE":"unknown","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top genes up-regulated at day 5 of Cre-Lox induced APC [GeneID=324] knockout in the intestine.","DESCRIPTION_FULL":"Although Apc is well characterized as a tumor-suppressor gene in the intestine, the precise mechanism of this suppression remains to be defined. Using a novel inducible Ahcre transgenic line in conjunction with a loxP-flanked Apc allele we, show that loss of Apc acutely activates Wnt signaling through the nuclear accumulation of beta-catenin. Coincidentally, it perturbs differentiation, migration, proliferation, and apoptosis, such that Apc-deficient cells maintain a crypt progenitor-like phenotype. Critically, for the first time we confirm a series of Wnt target molecules in an in vivo setting and also identify a series of new candidate targets within the same setting."}
{"STANDARD_NAME":"NAKAJIMA_EOSINOPHIL","SYSTEMATIC_NAME":"M8344","ORGANISM":"Homo sapiens","PMID":"11493461","AUTHORS":"Nakajima T,Matsumoto K,Suto H,Tanaka K,Ebisawa M,Tomita H,Yuki K,Katsunuma T,Akasawa A,Hashida R,Sugita Y,Ogawa H,Ra C,Saito H","EXACT_SOURCE":"Table 2","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top 30 increased eosinophil specific transcripts.","DESCRIPTION_FULL":"Mast cells (MCs) and eosinophils are thought to play important roles in evoking allergic inflammation. Cell-type--specific gene expression was screened among 12,000 genes in human MCs and eosinophils with the use of high-density oligonucleotide probe arrays. In comparison with other leukocytes, MCs expressed 140 cell-type--specific transcripts, whereas eosinophils expressed only 34. Among the transcripts for expected MC-specific proteins such as tryptase, major basic protein (MBP), which had been thought to be eosinophil specific, was ranked fourth in terms of amounts of increased MC-specific messenger RNA. Mature eosinophils were almost lacking this transcript. MCs obtained from 4 different sources (ie, lung, skin, adult peripheral blood progenitor--derived and cord blood progenitor--derived MCs, and eosinophils) were found to have high protein levels of MBP in their granules with the use of flow cytometric and confocal laser scanning microscopic analyses. The present finding that MCs can produce abundant MBP is crucial because many reports regarding allergic pathogenesis have been based on earlier findings that MBP was almost unique to eosinophils and not produced by MCs. (Blood. 2001;98:1127-1134)"}
{"STANDARD_NAME":"ZHANG_TARGETS_OF_EWSR1_FLI1_FUSION","SYSTEMATIC_NAME":"M18322","ORGANISM":"Homo sapiens","PMID":"15930281","AUTHORS":"Hu-Lieskovan S,Zhang J,Wu L,Shimada H,Schofield DE,Triche TJ","EXACT_SOURCE":"Table 1","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in RD-EF cells (rhabdomyosarcoma) engineered to express EWSR1-FLI1 fusion [GeneID=2130;2313] and which are also highly expressed in Ewing's famliy tumors.","DESCRIPTION_FULL":"Tumor-specific translocations are common in tumors of mesenchymal origin. Whether the translocation determines the phenotype, or vice versa, is debatable. Ewing's family tumors (EFT) are consistently associated with an EWS-FLI1 translocation and a primitive neural phenotype. Histogenesis and classification are therefore uncertain. To test whether EWS-FLI1 fusion gene expression is responsible for the primitive neuroectodermal phenotype of EFT, we established a tetracycline-inducible EWS-FLI1 expression system in a rhabdomyosarcoma cell line RD. Cell morphology changed after EWS-FLI1 expression, resembling cultured EFT cells. Xenografts showed typical EFT features, distinct from tumors formed by parental RD. Neuron-specific microtubule gene MAPT, parasympathetic marker cholecystokinin, and epithelial marker keratin 18 were up-regulated. Conversely, myogenesis was diminished. Comparison of the up-regulated genes in RD-EF with the Ewing's signature genes identified important EWS-FLI1 downstream genes, many involved in neural crest differentiation. These results were validated by real-time reverse transcription-PCR analysis and RNA interference technology using small interfering RNA against EWS-FLI1 breakpoint. The present study shows that the neural phenotype of Ewing's tumors is attributable to the EWS-FLI1 expression and the resultant phenotype resembles developing neural crest. Such tumors have a limited neural phenotype regardless of tissue of origin. These findings challenge traditional views of histogenesis and tumor origin."}
{"STANDARD_NAME":"ZHAN_MULTIPLE_MYELOMA_SUBGROUPS","SYSTEMATIC_NAME":"M17405","ORGANISM":"Homo sapiens","PMID":"11861292","AUTHORS":"Zhan F,Hardin J,Kordsmeier B,Bumm K,Zheng M,Tian E,Sanderson R,Yang Y,Wilson C,Zangari M,Anaissie E,Morris C,Muwalla F,van Rhee F,Fassas A,Crowley J,Tricot G,Barlogie B,Shaughnessy J Jr","EXACT_SOURCE":"Table 2","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top genes up-regulated in MM4 vs MM1 subgroup of multiple myeloma samples.","DESCRIPTION_FULL":"Bone marrow plasma cells (PCs) from 74 patients with newly diagnosed multiple myeloma (MM), 5 with monoclonal gammopathy of undetermined significance (MGUS), and 31 healthy volunteers (normal PCs) were purified by CD138(+) selection. Gene expression of purified PCs and 7 MM cell lines were profiled using high-density oligonucleotide microarrays interrogating about 6800 genes. On hierarchical clustering analysis, normal and MM PCs were differentiated and 4 distinct subgroups of MM (MM1, MM2, MM3, and MM4) were identified. The expression pattern of MM1 was similar to normal PCs and MGUS, whereas MM4 was similar to MM cell lines. Clinical parameters linked to poor prognosis, abnormal karyotype (P =.002) and high serum beta(2)-microglobulin levels (P =.0005), were most prevalent in MM4. Also, genes involved in DNA metabolism and cell cycle control were overexpressed in a comparison of MM1 and MM4. In addition, using chi(2) and Wilcoxon rank sum tests, 120 novel candidate disease genes were identified that discriminate normal and malignant PCs (P <.0001); many are involved in adhesion, apoptosis, cell cycle, drug resistance, growth arrest, oncogenesis, signaling, and transcription. A total of 156 genes, including FGFR3 and CCND1, exhibited highly elevated (spiked) expression in at least 4 of the 74 MM cases (range, 4-25 spikes). Elevated expression of these 2 genes was caused by the translocation t(4;14)(p16;q32) or t(11;14)(q13;q32). Thus, novel candidate MM disease genes have been identified using gene expression profiling and this profiling has led to the development of a gene-based classification system for MM."}
{"STANDARD_NAME":"HADDAD_T_LYMPHOCYTE_AND_NK_PROGENITOR_UP","SYSTEMATIC_NAME":"M17082","ORGANISM":"Homo sapiens","PMID":"15331438","AUTHORS":"Haddad R,Guardiola P,Izac B,Thibault C,Radich J,Delezoide AL,Baillou C,Lemoine FM,Gluckman JC,Pflumio F,Canque B","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in hematopoietic progenitor cells (HPC) of T lymphocyte and NK (natural killer) lineage.","DESCRIPTION_FULL":"The early stages of human lymphopoiesis are poorly characterized. Here, we compared the lymphoid potential of a novel umbilical cord blood CD34(+)CD45RA(hi)CD7(+) hematopoietic progenitor cell (HPC) population with that of CD34(+)CD45RA(hi)Lin(-)CD10(+) HPCs, previously proposed as candidate common lymphoid progenitors. Limiting-dilution and clonal analysis, fetal thymic organ cultures, and culture onto Notch ligand Delta-like-1-expressing OP9 cells, showed that although CD34(+)CD45RA(hi)CD7(+) HPCs could generate cells of the 3 lymphoid lineages, their potential was skewed toward the T/natural killer (T/NK) lineages. In contrast, CD34(+)CD45RA(hi)Lin(-)CD10(+) HPCs predominantly exhibited a B-cell potential. Gene expression profiling with DNA microarrays confirmed that CD34(+)CD45RA(hi)CD7(+) HPCs selectively expressed T-lymphoid and NK lineage-committed genes while retaining expression of genes affiliated to the granulomonocytic lineage, whereas CD34(+)CD45RA(hi)Lin(-)CD10(+) HPCs displayed a typical pro-B-cell transcription profile and essentially lacked genes unrelated to the B lineage. In addition, both populations could be generated in vitro from CD34(+)CD45RA(int)CD7(-) and CD34(+)CD45RA(hi)Lin(-) HPCs with mixed lymphomyeloid potential, from which they emerged independently with different growth/differentiation factor requirements. These findings indicate that CD34(+)CD45RA(hi)CD7(+) and CD34(+)CD45RA(hi)Lin(-)CD10(+) HPCs correspond to multipotent early lymphoid progenitors polarized toward either the T/NK or B lineage, respectively."}
{"STANDARD_NAME":"MA_MYELOID_DIFFERENTIATION_DN","SYSTEMATIC_NAME":"M1433","ORGANISM":"Mus musculus","PMID":"12130493","AUTHORS":"Ma X,Husain T,Peng H,Lin S,Mironenko O,Maun N,Johnson S,Tuck D,Berliner N,Krause DS,Perkins AS","EXACT_SOURCE":"Table 8","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated during myeloid differentiation induced by tretinoin (ATRA) [PubChem=444795] and IL3 [GeneID=3652] in the EML cell line (myeloid progenitor).","DESCRIPTION_FULL":"With the goal of creating a resource for in-depth study of myelopoiesis, we have executed a 2-pronged strategy to obtain a complementary DNA (cDNA) clone set enriched in hematopoietic genes. One aspect is a library subtraction to enrich for underrepresented transcripts present at early stages of hematopoiesis. For this, a hematopoietic cDNA library from primary murine bone marrow cells enriched for primitive progenitors was used as tester. The subtraction used 10 000 known genes and expressed sequence tags (ESTs) as driver. The 2304 randomly picked clones from the subtracted cDNA libraries represent 1255 distinct genes, of which 622 (50%) are named genes, 386 (30%) match uncharacterized ESTs, and 247 (20%) are novel. The second aspect of our strategy was to complement this subtracted library with genes known to be involved in myeloid cell differentiation and function. The resulting cDNAs were arrayed on polylysine-coated glass slides. The microarrays were used to analyze gene expression in primary and cultured murine bone marrow-derived progenitors. We found expression of various types of genes, including regulatory cytokines and their receptors, signal transduction genes, and transcription factors. To assess gene expression during myeloid differentiation, we examined patterns of change during induced differentiation of EML cells. Several hundred of the genes underwent fluctuations in expression level during myeloid cell differentiation. The complete database, accessible on the World Wide Web at http://yale130132115135.med.yale.edu/, allows for retrieval of information regarding these genes. Our microarray allows for genomewide expression analysis of myeloid stem cells, which will help in defining the regulatory mechanisms of stem cell differentiation."}
{"STANDARD_NAME":"VERNELL_RETINOBLASTOMA_PATHWAY_DN","SYSTEMATIC_NAME":"M12456","ORGANISM":"Homo sapiens","PMID":"12923195","AUTHORS":"Vernell R,Helin K,Müller H","EXACT_SOURCE":"Table 1: cluster 2","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster 2: genes down-regulated by RB1, CDNK2A [GeneID=1029;5925], and one of the E2Fs (E2F1, E2F2, or E2F3 [GeneID=1869;1870;1871]).","DESCRIPTION_FULL":"Deregulation of the retinoblastoma protein (pRB) pathway is a hallmark of human cancer. The core members of this pathway include the tumor suppressor protein, pRB, which through binding to a number of cellular proteins, most notably members of the E2F transcription factor family, regulates progression through the cell division cycle. With the aim of identifying transcriptional changes provoked by deregulation of the pRB pathway, we have used cell lines that conditionally express a constitutively active phosphorylation site mutant of pRB (pRBDeltaCDK) or p16INK4A (p16). The expression of pRBDeltaCDK and p16 resulted in significant repression and activation of a large number of genes as measured by high density oligonucleotide array analysis. Transcriptional changes were found in genes that are essential for DNA replication and cell proliferation. In agreement with previous results, we found a high degree of overlap between genes regulated by p16 and pRB. Data we have obtained previously for E2F family members showed that 74 of the genes repressed by pRB and p16 were induced by the E2Fs and 23 genes that were induced by pRB and p16 were repressed by the E2Fs. Thus, we have identified 97 genes as physiological targets of the pRB pathway, and the further characterization of these genes should provide insights into how this pathway controls proliferation. We show that Gibbs sampling detects enrichment of several sequence motifs, including E2F consensus binding sites, in the upstream regions of these genes and use this enrichment in an in silico filtering process to refine microarray derived gene lists."}
{"STANDARD_NAME":"HASLINGER_B_CLL_WITH_MUTATED_VH_GENES","SYSTEMATIC_NAME":"M11120","ORGANISM":"Homo sapiens","PMID":"15459216","AUTHORS":"Haslinger C,Schweifer N,Stilgenbauer S,Döhner H,Lichter P,Kraut N,Stratowa C,Abseher R","GEOID":"GSE2466","EXACT_SOURCE":"Table 3: VH-mutated","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes changed in the B cell chronic lymphocytic leukemia (B-CLL) with mutations in the variable immunoglobulin veriable heavy chain (VH) genes.","DESCRIPTION_FULL":"PURPOSE: Genomic aberrations and mutational status of the immunoglobulin variable heavy chain (VH) gene have been shown to be among the most important predictors for outcome in patients with B-cell chronic lymphocytic leukemia (B-CLL). In this study, we report on differential gene expression patterns that are characteristic for genetically defined B-CLL subtypes. MATERIALS AND METHODS: One hundred genetically well-characterized B-CLL samples, together with 11 healthy control samples, were analyzed using oligonucleotide arrays, which test for the expression of some 12,000 human genes. RESULTS: Aiming at microarray-based subclassification, class predictors were constructed using sets of differentially expressed genes, which yielded in zero or low misclassification rates. Furthermore, a significant number of the differentially expressed genes clustered in chromosomal regions affected by the respective genomic losses/gains. Deletions affecting chromosome bands 11q22-q23 and 17p13 led to a reduced expression of the corresponding genes, such as ATM and p53, while trisomy 12 resulted in the upregulation of genes mapping to chromosome arm 12q. Using an unsupervised analysis algorithm, expression profiling allowed partitioning into predominantly VH-mutated versus unmutated patient groups; however, association of the expression profile with the VH mutational status could only be detected in male patients. CONCLUSION: The finding that the most significantly differentially expressed genes are located in the corresponding aberrant chromosomal regions indicates that a gene dosage effect may exert a pathogenic role in B-CLL. The significant difference in the partitioning of male and female B-CLL samples suggests that the genomic signature for the VH mutational status might be sex-related."}
{"STANDARD_NAME":"CROMER_METASTASIS_UP","SYSTEMATIC_NAME":"M7061","ORGANISM":"Homo sapiens","PMID":"14676830","AUTHORS":"Cromer A,Carles A,Millon R,Ganguli G,Chalmel F,Lemaire F,Young J,Dembélé D,Thibault C,Muller D,Poch O,Abecassis J,Wasylyk B","GEOID":"GSE2379","EXACT_SOURCE":"Table 1S","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Metastatic propensity markers of head and neck squamous cell carcinoma (HNSCC): up-regulated in metastatic vs non-metastatic tumors.","DESCRIPTION_FULL":"Head and neck squamous cell carcinoma (HNSCC) is the sixth most common cancer among men in the developed world. There is a need, for both clinical and scientific reasons, to find markers to identify patients with aggressive disease as early as possible, and to understand the events leading to malignant transformation and susceptibility to metastasis. We report the first large-scale gene expression analysis of a unique HNSCC location, the hypopharynx. Four normal and 34 tumour samples were analysed with 12 600 gene microarrays. Clusters of differentially expressed genes were identified in the chromosomal regions 3q27.3, 17q21.2-q21.31, 7q11.22-q22.1 and 11q13.1-q13.3, which, interestingly, have already been identified by comparative genomic hybridization (CGH) as major regions of gene amplification. We showed that six overexpressed genes (EIF4G1, DVL3, EPHB4, MCM7, BRMS1 and SART1) located in these regions are indeed amplified. We report 119 genes that are highly differentially expressed between 'early' tumours and normal samples. Of these, we validated by quantitative PCR six novel poorly characterized genes. These genes are potential new markers of HNSCC. Comparing patients with relatively nonaggressive and aggressive tumours (without or with clinical evidence of metastasis 3 years after surgery), we identified 164 differentially expressed genes potentially involved in the acquisition of metastatic potential. This study contributes to the understanding of HNSCC, staging patients into prognostic groups and identifying high-risk patients who may benefit from more aggressive treatment."}
{"STANDARD_NAME":"ZHAN_MULTIPLE_MYELOMA_CD1_AND_CD2_DN","SYSTEMATIC_NAME":"M16649","ORGANISM":"Homo sapiens","PMID":"16728703","AUTHORS":"Zhan F,Huang Y,Colla S,Stewart JP,Hanamura I,Gupta S,Epstein J,Yaccoby S,Sawyer J,Burington B,Anaissie E,Hollmig K,Pineda-Roman M,Tricot G,van Rhee F,Walker R,Zangari M,Crowley J,Barlogie B,Shaughnessy JD Jr","GEOID":"GSE2658","EXACT_SOURCE":"Table 5S: SAM Score < 0","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes commonly down-regulated in CD-1 and CD-2 clusters of multiple myeloma samples and which were higher expressed in the CD-1 group.","DESCRIPTION_FULL":"To better define the molecular basis of multiple myeloma (MM), we performed unsupervised hierarchic clustering of mRNA expression profiles in CD138-enriched plasma cells from 414 newly diagnosed patients who went on to receive high-dose therapy and tandem stem cell transplants. Seven disease subtypes were validated that were strongly influenced by known genetic lesions, such as c-MAF- and MAFB-, CCND1- and CCND3-, and MMSET-activating translocations and hyperdiploidy. Indicative of the deregulation of common pathways by gene orthologs, common gene signatures were observed in cases with c-MAF and MAFB activation and CCND1 and CCND3 activation, the latter consisting of 2 subgroups, one characterized by expression of the early B-cell markers CD20 and PAX5. A low incidence of focal bone disease distinguished one and increased expression of proliferation-associated genes of another novel subgroup. Comprising varying fractions of each of the other 6 subgroups, the proliferation subgroup dominated at relapse, suggesting that this signature is linked to disease progression. Proliferation and MMSET-spike groups were characterized by significant overexpression of genes mapping to chromosome 1q, and both exhibited a poor prognosis relative to the other groups. A subset of cases with a predominating myeloid gene expression signature, excluded from the profiling analyses, had more favorable baseline characteristics and superior prognosis to those lacking this signature."}
{"STANDARD_NAME":"GUO_HEX_TARGETS_UP","SYSTEMATIC_NAME":"M1436","ORGANISM":"Mus musculus","PMID":"12791650","AUTHORS":"Guo Y,Chan R,Ramsey H,Li W,Xie X,Shelley WC,Martinez-Barbera JP,Bort B,Zaret K,Yoder M,Hromas R","EXACT_SOURCE":"Table 2","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in day 6 embryoid bodies derived from embryonic stem cells (ES) with HEX [GeneID=3087] knockout.","DESCRIPTION_FULL":"The first hematopoietic and endothelial progenitors are derived from a common embryonic precursor termed the hemangioblast. The genetic cascades that regulate the differentiation of the hemangioblast to hematopoietic and endothelial cells are largely unknown. In general, much of embryonic development is coordinately regulated by temporal and spatial expression of transcription factors, such as the Homeobox (Hox) gene family. We and others isolated a divergent homeobox gene termed Hex (or Prh) that is preferentially expressed in hematopoietic and endothelial cells. Using in vitro Hex-/- embryonic stem (ES) cell differentiation, in vivo yolk sac hematopoietic progenitor assays, and chimeric mouse analysis, we found that Hex is required for differentiation of the hemangioblast to definitive embryonic hematopoietic progenitors and to a lesser extent endothelial cells. Therefore, Hex is a novel regulator of hemangioblast differentiation to hematopoietic and endothelial cells."}
{"STANDARD_NAME":"WANG_IMMORTALIZED_BY_HOXA9_AND_MEIS1_DN","SYSTEMATIC_NAME":"M1437","ORGANISM":"Mus musculus","PMID":"15755900","AUTHORS":"Wang GG,Pasillas MP,Kamps MP","EXACT_SOURCE":"Table 2","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated genes in myeloid progenitors immortalized by HOXA9 [GeneID=3205] vs those immortalized by HOXA9 and MEIS1 [GeneID=4211].","DESCRIPTION_FULL":"Meis1 is a homeodomain transcription factor coexpressed with Hoxa9 in most human acute myeloid leukemias (AMLs). In mouse models of leukemia produced by Hoxa9, Meis1 accelerates leukemogenesis. Because Hoxa9 immortalizes myeloid progenitors in the absence of Meis1 expression, the contribution of Meis1 toward leukemia remains unclear. Here, we describe a cultured progenitor model in which Meis1 programs leukemogenicity. Progenitors immortalized by Hoxa9 in culture are myeloid-lineage restricted and only infrequently caused leukemia after more than 250 days. Coexpressed Meis1 programmed rapid AML-initiating character, maintained multipotent progenitor potential, and induced expression of genes associated with short-term hematopoietic stem cells (HSCs), such as FLT3 and CD34, whose expression also characterizes the leukemia-initiating stem cells of human AML. Meis1 leukemogenesis functions required binding to Pbx, binding to DNA, and a conserved function of its C-terminal tail. We hypothesize that Meis1 is required for the homing and survival of leukemic progenitors within their hematopoietic niches, functions mediated by HSC-specific genes such as CD34 and Fms-like tyrosine kinase 3 (FLT3), respectively. This is the first example of a transcription factor oncoprotein (Meis1) that establishes expression of a tyrosine kinase oncoprotein (FLT3), and explains their coexpression in human leukemia. This cultured progenitor model will be useful to define the genetic basis of leukemogenesis involving Hoxa9 and Meis1."}
{"STANDARD_NAME":"ALCALAY_AML_BY_NPM1_LOCALIZATION_UP","SYSTEMATIC_NAME":"M9377","ORGANISM":"Homo sapiens","PMID":"15831697","AUTHORS":"Alcalay M,Tiacci E,Bergomas R,Bigerna B,Venturini E,Minardi SP,Meani N,Diverio D,Bernard L,Tizzoni L,Volorio S,Luzi L,Colombo E,Lo Coco F,Mecucci C,Falini B,Pelicci PG","EXACT_SOURCE":"Table S2: INCREASED EXPRESSION IN NPMc+ LEUKEMIAS","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in acute myeloid leukemia (AML) with respect to cellular localization of NPM1 [GeneID=4869]: cytoplasmic vs. nucleolar.","DESCRIPTION_FULL":"Approximately one third of acute myeloid leukemias (AMLs) are characterized by aberrant cytoplasmic localization of nucleophosmin (NPMc+ AML), consequent to mutations in the NPM putative nucleolar localization signal. These events are mutually exclusive with the major AML-associated chromosomal rearrangements, and are frequently associated with normal karyotype, FLT3 mutations, and multilineage involvement. We report the gene expression profiles of 78 de novo AMLs (72 with normal karyotype; 6 without major chromosomal abnormalities) that were characterized for the subcellular localization and mutation status of NPM. Unsupervised clustering clearly separated NPMc+ from NPMc- AMLs, regardless of the presence of FLT3 mutations or non-major chromosomal rearrangements, supporting the concept that NPMc+ AML represents a distinct entity. The molecular signature of NPMc+ AML includes up-regulation of several genes putatively involved in the maintenance of a stem-cell phenotype, suggesting that NPMc+ AML may derive from a multipotent hematopoietic progenitor."}
{"STANDARD_NAME":"FAELT_B_CLL_WITH_VH_REARRANGEMENTS_UP","SYSTEMATIC_NAME":"M7202","ORGANISM":"Homo sapiens","PMID":"15817677","AUTHORS":"Fält S,Merup M,Tobin G,Thunberg U,Gahrton G,Rosenquist R,Wennborg A","EXACT_SOURCE":"Table 2S","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in B-CLL (B-cell chronic lymphocytic leukemia) patients with mutated immunoglobulin variable heavy chain (VH) genes.","DESCRIPTION_FULL":"The usage of the immunoglobulin (Ig) V(H)3-21 gene is associated with poor prognosis in B-cell chronic lymphocytic leukemia (B-CLL) despite V(H) gene mutation status. Many V(H)3-21+ patients also display restricted heavy- and light-chain Ig gene rearrangements, implying a role of antigen selection in disease development. To explore the specific phenotypic/genotypic features among V(H)3-21+ B-CLLs, we compared gene expression patterns in 15 V(H)3-21+ and 24 non-V(H)3-21 patients (11 with unmutated and 13 with mutated V(H) genes) using Affymetrix microarray analysis (approximately 12,500 genes). A distinct expression profile was identified for V(H)3-21+ patients in contrast to the Ig-unmutated and -mutated groups. By applying different algorithms, the data enabled an efficient class discrimination of the V(H)3-21+ subset based on 27 or 57 genes. A set of genes was sorted out which, using different analytical methods, consistently gave a distinction between V(H)3-21+ and non-V(H)3-21 samples. Several of these genes are involved in regulation of DNA replication/cell-cycle control, transcription and protein kinase activity, which may render the V(H)3-21+ cells with a higher proliferative drive. However, no clear evidence of increased B-cell receptor signaling was found in the V(H)3-21+ group. Altogether, our identification of a specific V(H)3-21 profile may provide insights into the pathogenesis of the V(H)3-21+ subgroup."}
{"STANDARD_NAME":"PARK_HSC_MARKERS","SYSTEMATIC_NAME":"M6509","ORGANISM":"Mus musculus","PMID":"11781229","AUTHORS":"Park IK,He Y,Lin F,Laerum OD,Tian Q,Bumgarner R,Klug CA,Li K,Kuhr C,Doyle MJ,Xie T,Schummer M,Sun Y,Goldsmith A,Clarke MF,Weissman IL,Hood L,Li L","EXACT_SOURCE":"Table 1","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes in a cCDNA library from hematopoietic stem cells (HSC) after subtraction of lineage-specific markers.","DESCRIPTION_FULL":"Hematopoietic stem cells (HSCs) have self-renewal capacity and multilineage developmental potentials. The molecular mechanisms that control the self-renewal of HSCs are still largely unknown. Here, a systematic approach using bioinformatics and array hybridization techniques to analyze gene expression profiles in HSCs is described. To enrich mRNAs predominantly expressed in uncommitted cell lineages, 54 000 cDNA clones generated from a highly enriched population of HSCs and a mixed population of stem and early multipotent progenitor (MPP) cells were arrayed on nylon membranes (macroarray or high-density array), and subtracted with cDNA probes derived from mature lineage cells including spleen, thymus, and bone marrow. Five thousand cDNA clones with very low hybridization signals were selected for sequencing and further analysis using microarrays on glass slides. Two populations of cells, HSCs and MPP cells, were compared for differential gene expression using microarray analysis. HSCs have the ability to self-renew, while MPP cells have lost the capacity for self-renewal. A large number of genes that were differentially expressed by enriched populations of HSCs and MPP cells were identified. These included transcription factors, signaling molecules, and previously unknown genes."}
{"STANDARD_NAME":"ZHAN_MULTIPLE_MYELOMA_CD1_VS_CD2_UP","SYSTEMATIC_NAME":"M1679","ORGANISM":"Homo sapiens","PMID":"16728703","AUTHORS":"Zhan F,Huang Y,Colla S,Stewart JP,Hanamura I,Gupta S,Epstein J,Yaccoby S,Sawyer J,Burington B,Anaissie E,Hollmig K,Pineda-Roman M,Tricot G,van Rhee F,Walker R,Zangari M,Crowley J,Barlogie B,Shaughnessy JD Jr","GEOID":"GSE2658","EXACT_SOURCE":"Table 6S: SAM Score > 0","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in CD-1 compared to CD-2 cluster of multiple myeloma samples.","DESCRIPTION_FULL":"To better define the molecular basis of multiple myeloma (MM), we performed unsupervised hierarchic clustering of mRNA expression profiles in CD138-enriched plasma cells from 414 newly diagnosed patients who went on to receive high-dose therapy and tandem stem cell transplants. Seven disease subtypes were validated that were strongly influenced by known genetic lesions, such as c-MAF- and MAFB-, CCND1- and CCND3-, and MMSET-activating translocations and hyperdiploidy. Indicative of the deregulation of common pathways by gene orthologs, common gene signatures were observed in cases with c-MAF and MAFB activation and CCND1 and CCND3 activation, the latter consisting of 2 subgroups, one characterized by expression of the early B-cell markers CD20 and PAX5. A low incidence of focal bone disease distinguished one and increased expression of proliferation-associated genes of another novel subgroup. Comprising varying fractions of each of the other 6 subgroups, the proliferation subgroup dominated at relapse, suggesting that this signature is linked to disease progression. Proliferation and MMSET-spike groups were characterized by significant overexpression of genes mapping to chromosome 1q, and both exhibited a poor prognosis relative to the other groups. A subset of cases with a predominating myeloid gene expression signature, excluded from the profiling analyses, had more favorable baseline characteristics and superior prognosis to those lacking this signature."}
{"STANDARD_NAME":"WANG_TARGETS_OF_MLL_CBP_FUSION_UP","SYSTEMATIC_NAME":"M1440","ORGANISM":"Mus musculus","PMID":"15635450","AUTHORS":"Wang J,Iwasaki H,Krivtsov A,Febbo PG,Thorner AR,Ernst P,Anastasiadou E,Kutok JL,Kogan SC,Zinkel SS,Fisher JK,Hess JL,Golub TR,Armstrong SA,Akashi K,Korsmeyer SJ","GEOID":"E-MEXP-213","EXACT_SOURCE":"Fig 5: Upregulated","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top 50 genes up-regulated in granulocyte/macrophage progenitors (GMP) upon expression of MLL-CBP fusion [GeneID=4297;1387].","DESCRIPTION_FULL":"Chromosomal translocations that fuse the mixed lineage leukemia (MLL) gene with multiple partners typify acute leukemias of infancy as well as therapy-related leukemias. We utilized a conditional knockin strategy to bypass the embryonic lethality caused by MLL-CBP expression and to assess the immediate effects of induced MLL-CBP expression on hematopoiesis. Within days of activating MLL-CBP, the fusion protein selectively expanded granulocyte/macrophage progenitors (GMP) and enhanced their self-renewal/proliferation. MLL-CBP altered the gene expression program of GMP, upregulating a subset of genes including Hox a9. Inhibition of Hox a9 expression by RNA interference demonstrated that MLL-CBP required Hox a9 for its enhanced cell expansion. Following exposure to sublethal gamma-irradiation or N-ethyl-N-nitrosourea (ENU), MLL-CBP mice developed myelomonocytic hyperplasia and progressed to fatal myeloproliferative disorders. These represented the spectrum of therapy-induced acute myelomonocytic leukemia/chronic myelomonocytic leukemia/myelodysplastic/myeloproliferative disorder similar to that seen in humans possessing the t(11;16). This model of MLL-CBP therapy-related myeloproliferative disease demonstrates the selectivity of this MLL fusion for GMP cells and its ability to initiate leukemogenesis in conjunction with cooperating mutations."}
{"STANDARD_NAME":"STONER_ESOPHAGEAL_CARCINOGENESIS_UP","SYSTEMATIC_NAME":"M1442","ORGANISM":"Rattus norvegicus","PMID":"18676871","AUTHORS":"Stoner GD,Dombkowski AA,Reen RK,Cukovic D,Salagrama S,Wang LS,Lechner JF","EXACT_SOURCE":"Table 2: NMBA vs control > 0","CHIP":"Rat_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in esophagus by the carcinogen NMBA [PubChem=13643] and brought back to normal by a diet with PEITC [PubChem=16741] or black raspberries.","DESCRIPTION_FULL":"Our recent study identified 2,261 dysregulated genes in the esophagi of rats that received a 1-week exposure to the carcinogen N-nitrosomethylbenzylamine (NMBA). We further reported that 1,323 of these genes were positively modulated to near-normal levels of expression in NMBA-treated animals that consumed dietary phenylethyl isothiocyanate (PEITC), a constituent of cruciferous vegetables. Herein, we report our results with companion animals that were fed a diet containing 5% freeze-dried black raspberries (BRB) instead of PEITC. We found that 462 of the 2,261 NMBA-dysregulated genes in rat esophagus were restored to near-normal levels of expression by BRB. Further, we have identified 53 NMBA-dysregulated genes that are positively modulated by both PEITC and BRB. These 53 common genes include genes involved in phase I and II metabolism, oxidative damage, and oncogenes and tumor suppressor genes that regulate apoptosis, cell cycling, and angiogenesis. Because both PEITC and BRB maintain near-normal levels of expression of these 53 genes, their dysregulation during the early phase of NMBA-induced esophageal cancer may be especially important in the genesis of the disease."}
{"STANDARD_NAME":"STONER_ESOPHAGEAL_CARCINOGENESIS_DN","SYSTEMATIC_NAME":"M1444","ORGANISM":"Rattus norvegicus","PMID":"18676871","AUTHORS":"Stoner GD,Dombkowski AA,Reen RK,Cukovic D,Salagrama S,Wang LS,Lechner JF","EXACT_SOURCE":"Table 2: NMBA vs control < 0","CHIP":"Rat_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in esophagus by the carcinogen NMBA [PubChem=13643] and brought back to normal by a diet with PEITC [PubChem=16741] or black raspberries.","DESCRIPTION_FULL":"Our recent study identified 2,261 dysregulated genes in the esophagi of rats that received a 1-week exposure to the carcinogen N-nitrosomethylbenzylamine (NMBA). We further reported that 1,323 of these genes were positively modulated to near-normal levels of expression in NMBA-treated animals that consumed dietary phenylethyl isothiocyanate (PEITC), a constituent of cruciferous vegetables. Herein, we report our results with companion animals that were fed a diet containing 5% freeze-dried black raspberries (BRB) instead of PEITC. We found that 462 of the 2,261 NMBA-dysregulated genes in rat esophagus were restored to near-normal levels of expression by BRB. Further, we have identified 53 NMBA-dysregulated genes that are positively modulated by both PEITC and BRB. These 53 common genes include genes involved in phase I and II metabolism, oxidative damage, and oncogenes and tumor suppressor genes that regulate apoptosis, cell cycling, and angiogenesis. Because both PEITC and BRB maintain near-normal levels of expression of these 53 genes, their dysregulation during the early phase of NMBA-induced esophageal cancer may be especially important in the genesis of the disease."}
{"STANDARD_NAME":"HASLINGER_B_CLL_WITH_13Q14_DELETION","SYSTEMATIC_NAME":"M3941","ORGANISM":"Homo sapiens","PMID":"15459216","AUTHORS":"Haslinger C,Schweifer N,Stilgenbauer S,Döhner H,Lichter P,Kraut N,Stratowa C,Abseher R","GEOID":"GSE2466","EXACT_SOURCE":"Table 3: 13q14","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes changed in the B cell chronic lymphocytic leukemia (B-CLL) with deletions in the 13q14 region.","DESCRIPTION_FULL":"PURPOSE: Genomic aberrations and mutational status of the immunoglobulin variable heavy chain (VH) gene have been shown to be among the most important predictors for outcome in patients with B-cell chronic lymphocytic leukemia (B-CLL). In this study, we report on differential gene expression patterns that are characteristic for genetically defined B-CLL subtypes. MATERIALS AND METHODS: One hundred genetically well-characterized B-CLL samples, together with 11 healthy control samples, were analyzed using oligonucleotide arrays, which test for the expression of some 12,000 human genes. RESULTS: Aiming at microarray-based subclassification, class predictors were constructed using sets of differentially expressed genes, which yielded in zero or low misclassification rates. Furthermore, a significant number of the differentially expressed genes clustered in chromosomal regions affected by the respective genomic losses/gains. Deletions affecting chromosome bands 11q22-q23 and 17p13 led to a reduced expression of the corresponding genes, such as ATM and p53, while trisomy 12 resulted in the upregulation of genes mapping to chromosome arm 12q. Using an unsupervised analysis algorithm, expression profiling allowed partitioning into predominantly VH-mutated versus unmutated patient groups; however, association of the expression profile with the VH mutational status could only be detected in male patients. CONCLUSION: The finding that the most significantly differentially expressed genes are located in the corresponding aberrant chromosomal regions indicates that a gene dosage effect may exert a pathogenic role in B-CLL. The significant difference in the partitioning of male and female B-CLL samples suggests that the genomic signature for the VH mutational status might be sex-related."}
{"STANDARD_NAME":"HOFMANN_CELL_LYMPHOMA_UP","SYSTEMATIC_NAME":"M10783","ORGANISM":"Homo sapiens","PMID":"11468180","AUTHORS":"Hofmann WK,de Vos S,Tsukasaki K,Wachsman W,Pinkus GS,Said JW,Koeffler HP","EXACT_SOURCE":"Table 3","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in lymph nodes from patients with mantle cell lymphoma (MCL) compared to the non-malignant hyperplastic lymph nodes.","DESCRIPTION_FULL":"An imbalance between cellular apoptosis and survival may be critical for the pathogenesis of lymphoma. Therefore, the gene expression pattern in lymph node preparations from patients with mantle cell lymphoma (MCL) was compared to the pattern in nonmalignant hyperplastic lymph nodes (HLs). Oligonucleotide microarray analysis was performed comparing 5 MCLs to 4 HLs using high-density microarrays. The expression data were analyzed using Genespring software. For confirmation, the expression of selected genes was analyzed by real-time polymerase chain reaction using the RNA extracted from 16 MCL and 12 HL samples. The focus was on 42 genes that were at least 3-fold down-regulated in MCL; in addition to the B-cell leukemia 2 (BCL2) system other apoptotic pathways were altered in MCL. The FAS-associated via death domain (FADD) gene that acts downstream of the FAS cascade as a key gene to induce apoptosis was more than 10-fold down-regulated in MCL. Furthermore, the death-associated protein 6 (DAXX) gene, the caspase 2 (CASP2) gene, and the RIPK1 domain containing adapter with death domain (RAIDD) gene, which are key genes in other proapoptotic pathways, were also decreased in the MCL samples. The suggestion is made that in addition to the known overexpression of cyclin D1, which drives entry into the cell cycle, disturbances of pathways associated with apoptosis contribute to the development of MCL. (Blood. 2001;98:787-794)"}
{"STANDARD_NAME":"GUO_HEX_TARGETS_DN","SYSTEMATIC_NAME":"M1445","ORGANISM":"Mus musculus","PMID":"12791650","AUTHORS":"Guo Y,Chan R,Ramsey H,Li W,Xie X,Shelley WC,Martinez-Barbera JP,Bort B,Zaret K,Yoder M,Hromas R","EXACT_SOURCE":"Table 1","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in day 6 embryoid bodies derived from embryonic stem cells (ES) with HEX [GeneID=3087] knockout.","DESCRIPTION_FULL":"The first hematopoietic and endothelial progenitors are derived from a common embryonic precursor termed the hemangioblast. The genetic cascades that regulate the differentiation of the hemangioblast to hematopoietic and endothelial cells are largely unknown. In general, much of embryonic development is coordinately regulated by temporal and spatial expression of transcription factors, such as the Homeobox (Hox) gene family. We and others isolated a divergent homeobox gene termed Hex (or Prh) that is preferentially expressed in hematopoietic and endothelial cells. Using in vitro Hex-/- embryonic stem (ES) cell differentiation, in vivo yolk sac hematopoietic progenitor assays, and chimeric mouse analysis, we found that Hex is required for differentiation of the hemangioblast to definitive embryonic hematopoietic progenitors and to a lesser extent endothelial cells. Therefore, Hex is a novel regulator of hemangioblast differentiation to hematopoietic and endothelial cells."}
{"STANDARD_NAME":"GILDEA_METASTASIS","SYSTEMATIC_NAME":"M2386","ORGANISM":"Homo sapiens","PMID":"12438227","AUTHORS":"Gildea JJ,Seraj MJ,Oxford G,Harding MA,Hampton GM,Moskaluk CA,Frierson HF,Conaway MR,Theodorescu D","EXACT_SOURCE":"Table 1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top genes down-regulated in metastatic (T24T) vs non-metastatic (T24) bladder cancer cell lines.","DESCRIPTION_FULL":"To discover novel metastasis suppressor genes that are clinically relevant in common human cancers, we used isogenic human bladder cancer cell lines and used DNA microarray technology to identify genes whose expression diminishes as a function of invasive and metastatic competence. We then evaluated the expression profile of such genes in 105 pathologically characterized tumors from seven common organ sites, and we identified one gene, RhoGDI2, whose expression was diminished as a function of primary tumor stage and grade. When RhoGDI2 was transferred back into cells with metastatic ability that lacked its expression, it suppressed experimental lung metastasis but did not affect in vitro growth, colony formation, or in vivo tumorigenicity. In addition, RhoGDI2 reconstitution in these cells blocked invasion in an organotypic assay and led to a reduction of in vitro motility. These results indicate that RhoGDI2 is a metastasis suppressor gene, a marker of aggressive human cancer, and a promising target for therapy."}
{"STANDARD_NAME":"ZHAN_MULTIPLE_MYELOMA_SPIKED","SYSTEMATIC_NAME":"M896","ORGANISM":"Homo sapiens","PMID":"11861292","AUTHORS":"Zhan F,Hardin J,Kordsmeier B,Bumm K,Zheng M,Tian E,Sanderson R,Yang Y,Wilson C,Zangari M,Anaissie E,Morris C,Muwalla F,van Rhee F,Fassas A,Crowley J,Tricot G,Barlogie B,Shaughnessy J Jr","EXACT_SOURCE":"Table 6","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"'Spiked' genes: genes most highly up-regulated in multiple myeloma samples; were not differentially expressed as compared to the normal plasma cells.","DESCRIPTION_FULL":"Bone marrow plasma cells (PCs) from 74 patients with newly diagnosed multiple myeloma (MM), 5 with monoclonal gammopathy of undetermined significance (MGUS), and 31 healthy volunteers (normal PCs) were purified by CD138(+) selection. Gene expression of purified PCs and 7 MM cell lines were profiled using high-density oligonucleotide microarrays interrogating about 6800 genes. On hierarchical clustering analysis, normal and MM PCs were differentiated and 4 distinct subgroups of MM (MM1, MM2, MM3, and MM4) were identified. The expression pattern of MM1 was similar to normal PCs and MGUS, whereas MM4 was similar to MM cell lines. Clinical parameters linked to poor prognosis, abnormal karyotype (P =.002) and high serum beta(2)-microglobulin levels (P =.0005), were most prevalent in MM4. Also, genes involved in DNA metabolism and cell cycle control were overexpressed in a comparison of MM1 and MM4. In addition, using chi(2) and Wilcoxon rank sum tests, 120 novel candidate disease genes were identified that discriminate normal and malignant PCs (P <.0001); many are involved in adhesion, apoptosis, cell cycle, drug resistance, growth arrest, oncogenesis, signaling, and transcription. A total of 156 genes, including FGFR3 and CCND1, exhibited highly elevated (spiked) expression in at least 4 of the 74 MM cases (range, 4-25 spikes). Elevated expression of these 2 genes was caused by the translocation t(4;14)(p16;q32) or t(11;14)(q13;q32). Thus, novel candidate MM disease genes have been identified using gene expression profiling and this profiling has led to the development of a gene-based classification system for MM."}
{"STANDARD_NAME":"MUNSHI_MULTIPLE_MYELOMA_DN","SYSTEMATIC_NAME":"M3900","ORGANISM":"Homo sapiens","PMID":"12969976","AUTHORS":"Munshi NC,Hideshima T,Carrasco D,Shammas M,Auclair D,Davies F,Mitsiades N,Mitsiades C,Kim RS,Li C,Rajkumar SV,Fonseca R,Bergsagel L,Chauhan D,Anderson KC","EXACT_SOURCE":"Table 1","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in multiple myeloma (MM) compared to normal plasma cells from the patient's identical twin.","DESCRIPTION_FULL":"Genetic heterogeneity between individuals confounds the comparison of gene profiling of multiple myeloma (MM) cells versus normal plasma cells (PCs). To overcome this barrier, we compared the gene expression profile of CD138+ MM cells from a patient bone marrow (BM) sample with CD138+ PCs from a genetically identical twin BM sample using microarray profiling. Two hundred and ninety-six genes were up-regulated and 103 genes were down-regulated at least 2-fold in MM cells versus normal twin PCs. Highly expressed genes in MM cells included cell survival pathway genes such as mcl-1, dad-1, caspase 8, and FADD-like apoptosis regulator (FLIP); oncogenes/transcriptional factors such as Jun-D, Xbp-1, calmodulin, Calnexin, and FGFR-3; stress response and ubiquitin/proteasome pathway-related genes and various ribosomal genes reflecting increased metabolic and translational activity. Genes that were down-regulated in MM cells versus healthy twin PCs included RAD51, killer cell immunoglobulin-like receptor protein, and apoptotic protease activating factor. Microarray results were further confirmed by Western blot analyses, immunohistochemistry, fluorescent in situ hybridization (FISH), and functional assays of telomerase activity and bone marrow angiogenesis. This molecular profiling provides potential insights into mechanisms of malignant transformation in MM. For example, FGFR3, xbp-1, and both mcl-1 and dad-1 may mediate transformation, differentiation, and survival, respectively, and may have clinical implications. By identifying genes uniquely altered in MM cells compared with normal PCs in an identical genotypic background, the current study provides the framework to identify novel therapeutic targets."}
{"STANDARD_NAME":"ASTIER_INTEGRIN_SIGNALING","SYSTEMATIC_NAME":"M3590","ORGANISM":"Homo sapiens","PMID":"12393420","AUTHORS":"Astier AL,Xu R,Svoboda M,Hinds E,Munoz O,de Beaumont R,Crean CD,Gabig T,Freedman AS","EXACT_SOURCE":"Table 1","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Integrin signaling signature in precursor B leukemia (PBL) cells: fibronectin (FN1) [GeneID=2335] vs control treatment with poly-L-lysine.","DESCRIPTION_FULL":"The physical interactions between B cells and stromal cells from the lymphoid tissue microenvironment are critical to the survival of normal and malignant B cells. They are principally mediated by integrins expressed on B cells and counterreceptors on stromal cells. Specifically, alpha4beta1 integrin engagement rescues B cells from physiological or drug-induced apoptosis. Therefore, in order to understand the mechanisms by which integrins prevent apoptosis in leukemia B cells, we compared the temporal gene expression profiles induced by beta1-integrin ligation with fibronectin (Fn) or adhesion by poly-L-Lysine in serum-starved precursor B leukemia cells. Among the 38 selected differentially expressed genes, 6 genes involved in adhesion (VAV2, EPB41L1, CORO1A), proliferation (FRAP1, CCT4), and intercellular communication (GJB3) were validated by real-time quantitative polymerase chain reaction (RT-Q-PCR). Gene expression modulation could also be validated at the protein level for 5 other genes. We show that integrin stimulation up-regulated FBI-1 expression but inhibited CD79a, Requiem, c-Fos, and caspase 7 induction when the cells underwent apoptosis. We further demonstrate that Fn stimulation also inhibits caspase 3 activation but increases XIAP and survivin expression. Moreover, integrin stimulation also prevents caspase activation induced by doxorubicin. Therefore, we identified genes modulated by adhesion of human precursor B leukemia cells that regulate proliferation and apoptosis, highlighting new pathways that might provide insights into future therapy aiming at targeting apoptosis of leukemia cells."}
{"STANDARD_NAME":"ZHAN_MULTIPLE_MYELOMA_LB_UP","SYSTEMATIC_NAME":"M14744","ORGANISM":"Homo sapiens","PMID":"16728703","AUTHORS":"Zhan F,Huang Y,Colla S,Stewart JP,Hanamura I,Gupta S,Epstein J,Yaccoby S,Sawyer J,Burington B,Anaissie E,Hollmig K,Pineda-Roman M,Tricot G,van Rhee F,Walker R,Zangari M,Crowley J,Barlogie B,Shaughnessy JD Jr","GEOID":"GSE2658","EXACT_SOURCE":"Table 2S: Subgroup = LB","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top 50 up-regulated genes in cluster LB of multiple myeloma samples belonging to the low bone disease group.","DESCRIPTION_FULL":"To better define the molecular basis of multiple myeloma (MM), we performed unsupervised hierarchic clustering of mRNA expression profiles in CD138-enriched plasma cells from 414 newly diagnosed patients who went on to receive high-dose therapy and tandem stem cell transplants. Seven disease subtypes were validated that were strongly influenced by known genetic lesions, such as c-MAF- and MAFB-, CCND1- and CCND3-, and MMSET-activating translocations and hyperdiploidy. Indicative of the deregulation of common pathways by gene orthologs, common gene signatures were observed in cases with c-MAF and MAFB activation and CCND1 and CCND3 activation, the latter consisting of 2 subgroups, one characterized by expression of the early B-cell markers CD20 and PAX5. A low incidence of focal bone disease distinguished one and increased expression of proliferation-associated genes of another novel subgroup. Comprising varying fractions of each of the other 6 subgroups, the proliferation subgroup dominated at relapse, suggesting that this signature is linked to disease progression. Proliferation and MMSET-spike groups were characterized by significant overexpression of genes mapping to chromosome 1q, and both exhibited a poor prognosis relative to the other groups. A subset of cases with a predominating myeloid gene expression signature, excluded from the profiling analyses, had more favorable baseline characteristics and superior prognosis to those lacking this signature."}
{"STANDARD_NAME":"HASLINGER_B_CLL_WITH_11Q23_DELETION","SYSTEMATIC_NAME":"M11509","ORGANISM":"Homo sapiens","PMID":"15459216","AUTHORS":"Haslinger C,Schweifer N,Stilgenbauer S,Döhner H,Lichter P,Kraut N,Stratowa C,Abseher R","GEOID":"GSE2466","EXACT_SOURCE":"Table 3: 11q23","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes changed in the B cell chronic lymphocytic leukemia (B-CLL) with deletions in the 11q23 region.","DESCRIPTION_FULL":"PURPOSE: Genomic aberrations and mutational status of the immunoglobulin variable heavy chain (VH) gene have been shown to be among the most important predictors for outcome in patients with B-cell chronic lymphocytic leukemia (B-CLL). In this study, we report on differential gene expression patterns that are characteristic for genetically defined B-CLL subtypes. MATERIALS AND METHODS: One hundred genetically well-characterized B-CLL samples, together with 11 healthy control samples, were analyzed using oligonucleotide arrays, which test for the expression of some 12,000 human genes. RESULTS: Aiming at microarray-based subclassification, class predictors were constructed using sets of differentially expressed genes, which yielded in zero or low misclassification rates. Furthermore, a significant number of the differentially expressed genes clustered in chromosomal regions affected by the respective genomic losses/gains. Deletions affecting chromosome bands 11q22-q23 and 17p13 led to a reduced expression of the corresponding genes, such as ATM and p53, while trisomy 12 resulted in the upregulation of genes mapping to chromosome arm 12q. Using an unsupervised analysis algorithm, expression profiling allowed partitioning into predominantly VH-mutated versus unmutated patient groups; however, association of the expression profile with the VH mutational status could only be detected in male patients. CONCLUSION: The finding that the most significantly differentially expressed genes are located in the corresponding aberrant chromosomal regions indicates that a gene dosage effect may exert a pathogenic role in B-CLL. The significant difference in the partitioning of male and female B-CLL samples suggests that the genomic signature for the VH mutational status might be sex-related."}
{"STANDARD_NAME":"HALMOS_CEBPA_TARGETS_DN","SYSTEMATIC_NAME":"M8604","ORGANISM":"Homo sapiens","PMID":"15205324","AUTHORS":"Halmos B,Bassères DS,Monti S,D'Aló F,Dayaram T,Ferenczi K,Wouters BJ,Huettner CS,Golub TR,Tenen DG","EXACT_SOURCE":"Table 2","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in H358 cells (lung cancer) by inducible expression of CEBPA [GeneID=1050] off plasmid vector.","DESCRIPTION_FULL":"We showed previously that CCAAT/enhancer binding protein alpha (C/EBP alpha), a tissue-specific transcription factor, is a candidate tumor suppressor in lung cancer. In the present study, we have performed a transcriptional profiling study of C/EBP alpha target genes using an inducible cell line system. This study led to the identification of hepatocyte nuclear factor 3beta (HNF3 beta), a transcription factor known to play a role in airway differentiation, as a downstream target of C/EBP alpha. We found down-regulation of HNF3 beta expression in a large proportion of lung cancer cell lines examined and identified two novel mutants of HNF3 beta, as well as hypermethylation of the HNF3 beta promoter. We also developed a tetracycline-inducible cell line model to study the cellular consequences of HNF3 beta expression. Conditional expression of HNF3 beta led to significant growth reduction, proliferation arrest, apoptosis, and loss of clonogenic ability, suggesting additionally that HNF3 beta is a novel tumor suppressor in lung cancer. This is the first study to show genetic abnormalities of lung-specific differentiation pathways in the development of lung cancer."}
{"STANDARD_NAME":"WANG_IMMORTALIZED_BY_HOXA9_AND_MEIS1_UP","SYSTEMATIC_NAME":"M1450","ORGANISM":"Mus musculus","PMID":"15755900","AUTHORS":"Wang GG,Pasillas MP,Kamps MP","EXACT_SOURCE":"Table 2","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Up-regulated genes in myeloid progenitors immortalized by HOXA9 [GeneID=3205] vs those immortalized by HOXA9 and MEIS1 [GeneID=4211].","DESCRIPTION_FULL":"Meis1 is a homeodomain transcription factor coexpressed with Hoxa9 in most human acute myeloid leukemias (AMLs). In mouse models of leukemia produced by Hoxa9, Meis1 accelerates leukemogenesis. Because Hoxa9 immortalizes myeloid progenitors in the absence of Meis1 expression, the contribution of Meis1 toward leukemia remains unclear. Here, we describe a cultured progenitor model in which Meis1 programs leukemogenicity. Progenitors immortalized by Hoxa9 in culture are myeloid-lineage restricted and only infrequently caused leukemia after more than 250 days. Coexpressed Meis1 programmed rapid AML-initiating character, maintained multipotent progenitor potential, and induced expression of genes associated with short-term hematopoietic stem cells (HSCs), such as FLT3 and CD34, whose expression also characterizes the leukemia-initiating stem cells of human AML. Meis1 leukemogenesis functions required binding to Pbx, binding to DNA, and a conserved function of its C-terminal tail. We hypothesize that Meis1 is required for the homing and survival of leukemic progenitors within their hematopoietic niches, functions mediated by HSC-specific genes such as CD34 and Fms-like tyrosine kinase 3 (FLT3), respectively. This is the first example of a transcription factor oncoprotein (Meis1) that establishes expression of a tyrosine kinase oncoprotein (FLT3), and explains their coexpression in human leukemia. This cultured progenitor model will be useful to define the genetic basis of leukemogenesis involving Hoxa9 and Meis1."}
{"STANDARD_NAME":"ZHAN_MULTIPLE_MYELOMA_CD1_AND_CD2_UP","SYSTEMATIC_NAME":"M3889","ORGANISM":"Homo sapiens","PMID":"16728703","AUTHORS":"Zhan F,Huang Y,Colla S,Stewart JP,Hanamura I,Gupta S,Epstein J,Yaccoby S,Sawyer J,Burington B,Anaissie E,Hollmig K,Pineda-Roman M,Tricot G,van Rhee F,Walker R,Zangari M,Crowley J,Barlogie B,Shaughnessy JD Jr","GEOID":"GSE2658","EXACT_SOURCE":"Table 5S: SAM Score > 0","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes commonly up-regulated in CD-1 and CD-2 clusters of multiple myeloma samples and which were higher expressed in the CD-1 group.","DESCRIPTION_FULL":"To better define the molecular basis of multiple myeloma (MM), we performed unsupervised hierarchic clustering of mRNA expression profiles in CD138-enriched plasma cells from 414 newly diagnosed patients who went on to receive high-dose therapy and tandem stem cell transplants. Seven disease subtypes were validated that were strongly influenced by known genetic lesions, such as c-MAF- and MAFB-, CCND1- and CCND3-, and MMSET-activating translocations and hyperdiploidy. Indicative of the deregulation of common pathways by gene orthologs, common gene signatures were observed in cases with c-MAF and MAFB activation and CCND1 and CCND3 activation, the latter consisting of 2 subgroups, one characterized by expression of the early B-cell markers CD20 and PAX5. A low incidence of focal bone disease distinguished one and increased expression of proliferation-associated genes of another novel subgroup. Comprising varying fractions of each of the other 6 subgroups, the proliferation subgroup dominated at relapse, suggesting that this signature is linked to disease progression. Proliferation and MMSET-spike groups were characterized by significant overexpression of genes mapping to chromosome 1q, and both exhibited a poor prognosis relative to the other groups. A subset of cases with a predominating myeloid gene expression signature, excluded from the profiling analyses, had more favorable baseline characteristics and superior prognosis to those lacking this signature."}
{"STANDARD_NAME":"NADLER_HYPERGLYCEMIA_AT_OBESITY","SYSTEMATIC_NAME":"M1453","ORGANISM":"Mus musculus","PMID":"11027337","AUTHORS":"Nadler ST,Stoehr JP,Schueler KL,Tanimoto G,Yandell BS,Attie AD","GEOID":"GSE2952","EXACT_SOURCE":"Table 3","CHIP":"AFFY_Mu11K","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes correlated with the development of hyperglycemia in obese mice.","DESCRIPTION_FULL":"Obesity is strongly correlated with type 2 diabetes mellitus, a common disorder of glucose and lipid metabolism. Although adipocytes are critical in obesity, their role in diabetes has only recently been appreciated. We conducted studies by using DNA microarrays to identify differences in gene expression in adipose tissue from lean, obese, and obese-diabetic mice. The expression level of over 11,000 transcripts was analyzed, and 214 transcripts showed significant differences between lean and obese mice. Surprisingly, the expression of genes normally associated with adipocyte differentiation were down-regulated in obesity. Not all obese individuals will become diabetic; many remain normoglycemic despite profound obesity. Understanding the transition to obesity with concomitant diabetes will provide important clues to the pathogenesis of type 2 diabetes. Therefore, we examined the levels of gene expression in adipose tissue from five groups of obese mice with varying degrees of hyperglycemia, and we identified 88 genes whose expression strongly correlated with diabetes severity. This group included many genes that are known to be involved in signal transduction and energy metabolism as well as genes not previously examined in the context of diabetes. Our data show that a decrease in expression of genes normally involved in adipogenesis is associated with obesity, and we further identify genes important for subsequent development of type 2 diabetes mellitus."}
{"STANDARD_NAME":"HALMOS_CEBPA_TARGETS_UP","SYSTEMATIC_NAME":"M11064","ORGANISM":"Homo sapiens","PMID":"15205324","AUTHORS":"Halmos B,Bassères DS,Monti S,D'Aló F,Dayaram T,Ferenczi K,Wouters BJ,Huettner CS,Golub TR,Tenen DG","EXACT_SOURCE":"Table 1","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in H358 cells (lung cancer) by inducible expression of CEBPA [GeneID=1050] off plasmid vector.","DESCRIPTION_FULL":"We showed previously that CCAAT/enhancer binding protein alpha (C/EBP alpha), a tissue-specific transcription factor, is a candidate tumor suppressor in lung cancer. In the present study, we have performed a transcriptional profiling study of C/EBP alpha target genes using an inducible cell line system. This study led to the identification of hepatocyte nuclear factor 3beta (HNF3 beta), a transcription factor known to play a role in airway differentiation, as a downstream target of C/EBP alpha. We found down-regulation of HNF3 beta expression in a large proportion of lung cancer cell lines examined and identified two novel mutants of HNF3 beta, as well as hypermethylation of the HNF3 beta promoter. We also developed a tetracycline-inducible cell line model to study the cellular consequences of HNF3 beta expression. Conditional expression of HNF3 beta led to significant growth reduction, proliferation arrest, apoptosis, and loss of clonogenic ability, suggesting additionally that HNF3 beta is a novel tumor suppressor in lung cancer. This is the first study to show genetic abnormalities of lung-specific differentiation pathways in the development of lung cancer."}
{"STANDARD_NAME":"YU_MYC_TARGETS_DN","SYSTEMATIC_NAME":"M3923","ORGANISM":"Mus musculus","PMID":"16382050","AUTHORS":"Yu D,Cozma D,Park A,Thomas-Tikhonenko A","EXACT_SOURCE":"Table 2","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in B cell lymphoma tumors expressing an activated form of MYC [GeneID=4609].","DESCRIPTION_FULL":"The involvement of the c-Myc transcription factor in neoplastic transformation is well documented. However, which of its numerous target genes are crucial for tumorigenesis remains a frequently contested issue. We have recently established a non-transgenic murine model for B-cell lymphoma based on neoplastic conversion of p53-null bone marrow cells by conditionally active Myc. Using this model, we have identified a number of genes whose expression levels are affected by Myc during B-lymphomagenesis. Here we discuss their possible roles in neoplastic processes and describe an experimental approach allowing in vivo validation of these roles. We demonstrate that lymphoma cells overexpressing one of the Myc targets, the interleukin-10 receptor gene, have a very strong selective advantage over low IL10R expressors. Furthermore, Mcl1, a presumptive IL10R effector, also confers selective advantages when overexpressed in Myc-transformed hematopoietic cells. Thus, both IL10R and Mcl1 might be amenable to therapeutic interventions, and new targets can be identified and validated using the selection approach."}
{"STANDARD_NAME":"NUMATA_CSF3_SIGNALING_VIA_STAT3","SYSTEMATIC_NAME":"M1454","ORGANISM":"Mus musculus","PMID":"15664994","AUTHORS":"Numata A,Shimoda K,Kamezaki K,Haro T,Kakumitsu H,Shide K,Kato K,Miyamoto T,Yamashita Y,Oshima Y,Nakajima H,Iwama A,Aoki K,Takase K,Gondo H,Mano H,Harada M","EXACT_SOURCE":"Table 1","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Target genes for STAT3 [GeneID=20848] in CSF3 [GeneID=12985] signaling during myeloblast differentiation to neutrophils.","DESCRIPTION_FULL":"The Janus kinase (Jak)-Stat pathway plays an essential role in cytokine signaling. Granulocyte colony-stimulating factor (G-CSF) promotes granulopoiesis and granulocytic differentiation, and Stat3 is the principle Stat protein activated by G-CSF. Upon treatment with G-CSF, the interleukin-3-dependent cell line 32D clone 3(32Dcl3) differentiates into neutrophils, and 32Dcl3 cells expressing dominant-negative Stat3 (32Dcl3/DNStat3) proliferate in G-CSF without differentiation. Gene expression profile and quantitative PCR analysis of G-CSF-stimulated cell lines revealed that the expression of C/EBPalpha was up-regulated by the activation of Stat3. In addition, activated Stat3 bound to CCAAT/enhancer-binding protein (C/EBP)alpha, leading to the enhancement of the transcription activity of C/EBPalpha. Conditional expression of C/EBPalpha in 32Dcl3/DNStat3 cells after G-CSF stimulation abolishes the G-CSF-dependent cell proliferation and induces granulocytic differentiation. Although granulocyte-specific genes, such as the G-CSF receptor, lysozyme M, and neutrophil gelatinase-associated lipocalin precursor (NGAL) are regulated by Stat3, only NGAL was induced by the restoration of C/EBPalpha after stimulation with G-CSF in 32Dcl3/DNStat3 cells. These results show that one of the major roles of Stat3 in the G-CSF signaling pathway is to augment the function of C/EBPalpha, which is essential for myeloid differentiation. Additionally, cooperation of C/EBPalpha with other Stat3-activated proteins are required for the induction of some G-CSF responsive genes including lysozyme M and the G-CSF receptor."}
{"STANDARD_NAME":"ZHAN_MULTIPLE_MYELOMA_UP","SYSTEMATIC_NAME":"M3958","ORGANISM":"Homo sapiens","PMID":"11861292","AUTHORS":"Zhan F,Hardin J,Kordsmeier B,Bumm K,Zheng M,Tian E,Sanderson R,Yang Y,Wilson C,Zangari M,Anaissie E,Morris C,Muwalla F,van Rhee F,Fassas A,Crowley J,Tricot G,Barlogie B,Shaughnessy J Jr","EXACT_SOURCE":"Table 5","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes most significantly up-regulated in multiple myeloma samples, compared to normal bone marrow plasma cells.","DESCRIPTION_FULL":"Bone marrow plasma cells (PCs) from 74 patients with newly diagnosed multiple myeloma (MM), 5 with monoclonal gammopathy of undetermined significance (MGUS), and 31 healthy volunteers (normal PCs) were purified by CD138(+) selection. Gene expression of purified PCs and 7 MM cell lines were profiled using high-density oligonucleotide microarrays interrogating about 6800 genes. On hierarchical clustering analysis, normal and MM PCs were differentiated and 4 distinct subgroups of MM (MM1, MM2, MM3, and MM4) were identified. The expression pattern of MM1 was similar to normal PCs and MGUS, whereas MM4 was similar to MM cell lines. Clinical parameters linked to poor prognosis, abnormal karyotype (P =.002) and high serum beta(2)-microglobulin levels (P =.0005), were most prevalent in MM4. Also, genes involved in DNA metabolism and cell cycle control were overexpressed in a comparison of MM1 and MM4. In addition, using chi(2) and Wilcoxon rank sum tests, 120 novel candidate disease genes were identified that discriminate normal and malignant PCs (P <.0001); many are involved in adhesion, apoptosis, cell cycle, drug resistance, growth arrest, oncogenesis, signaling, and transcription. A total of 156 genes, including FGFR3 and CCND1, exhibited highly elevated (spiked) expression in at least 4 of the 74 MM cases (range, 4-25 spikes). Elevated expression of these 2 genes was caused by the translocation t(4;14)(p16;q32) or t(11;14)(q13;q32). Thus, novel candidate MM disease genes have been identified using gene expression profiling and this profiling has led to the development of a gene-based classification system for MM."}
{"STANDARD_NAME":"LENAOUR_DENDRITIC_CELL_MATURATION_UP","SYSTEMATIC_NAME":"M4562","ORGANISM":"Homo sapiens","PMID":"11279020","AUTHORS":"Le Naour F,Hohenkirk L,Grolleau A,Misek DE,Lescure P,Geiger JD,Hanash S,Beretta L","EXACT_SOURCE":"Table 1","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated during in vitro maturation of CD14+ [GeneID=929] monocytes (day 0) into immature (day 7) and mature dendritic cells (day 14).","DESCRIPTION_FULL":"Dendritic cells (DCs) are antigen-presenting cells that play a major role in initiating primary immune responses. We have utilized two independent approaches, DNA microarrays and proteomics, to analyze the expression profile of human CD14(+) blood monocytes and their derived DCs. Analysis of gene expression changes at the RNA level using oligonucleotide microarrays complementary to 6300 human genes showed that approximately 40% of the genes were expressed in DCs. A total of 255 genes (4%) were found to be regulated during DC differentiation or maturation. Most of these genes were not previously associated with DCs and included genes encoding secreted proteins as well as genes involved in cell adhesion, signaling, and lipid metabolism. Protein analysis of the same cell populations was done using two-dimensional gel electrophoresis. A total of 900 distinct protein spots were included, and 4% of them exhibited quantitative changes during DC differentiation and maturation. Differentially expressed proteins were identified by mass spectrometry and found to represent proteins with Ca(2+) binding, fatty acid binding, or chaperone activities as well as proteins involved in cell motility. In addition, proteomic analysis provided an assessment of post-translational modifications. The chaperone protein, calreticulin, was found to undergo cleavage, yielding a novel form. The combined oligonucleotide microarray and proteomic approaches have uncovered novel genes associated with DC differentiation and maturation and has allowed analysis of post-translational modifications of specific proteins as part of these processes."}
{"STANDARD_NAME":"WANG_TARGETS_OF_MLL_CBP_FUSION_DN","SYSTEMATIC_NAME":"M1455","ORGANISM":"Mus musculus","PMID":"15635450","AUTHORS":"Wang J,Iwasaki H,Krivtsov A,Febbo PG,Thorner AR,Ernst P,Anastasiadou E,Kutok JL,Kogan SC,Zinkel SS,Fisher JK,Hess JL,Golub TR,Armstrong SA,Akashi K,Korsmeyer SJ","GEOID":"E-MEXP-213","EXACT_SOURCE":"Fig 5: Downregulated","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top 50 genes down-regulated in granulocyte/macrophage progenitors (GMP) upon expression of MLL-CBP fusion [GeneID=4297;1387].","DESCRIPTION_FULL":"Chromosomal translocations that fuse the mixed lineage leukemia (MLL) gene with multiple partners typify acute leukemias of infancy as well as therapy-related leukemias. We utilized a conditional knockin strategy to bypass the embryonic lethality caused by MLL-CBP expression and to assess the immediate effects of induced MLL-CBP expression on hematopoiesis. Within days of activating MLL-CBP, the fusion protein selectively expanded granulocyte/macrophage progenitors (GMP) and enhanced their self-renewal/proliferation. MLL-CBP altered the gene expression program of GMP, upregulating a subset of genes including Hox a9. Inhibition of Hox a9 expression by RNA interference demonstrated that MLL-CBP required Hox a9 for its enhanced cell expansion. Following exposure to sublethal gamma-irradiation or N-ethyl-N-nitrosourea (ENU), MLL-CBP mice developed myelomonocytic hyperplasia and progressed to fatal myeloproliferative disorders. These represented the spectrum of therapy-induced acute myelomonocytic leukemia/chronic myelomonocytic leukemia/myelodysplastic/myeloproliferative disorder similar to that seen in humans possessing the t(11;16). This model of MLL-CBP therapy-related myeloproliferative disease demonstrates the selectivity of this MLL fusion for GMP cells and its ability to initiate leukemogenesis in conjunction with cooperating mutations."}
{"STANDARD_NAME":"GREENBAUM_E2A_TARGETS_DN","SYSTEMATIC_NAME":"M1457","ORGANISM":"Mus musculus","PMID":"15310760","AUTHORS":"Greenbaum S,Lazorchak AS,Zhuang Y","EXACT_SOURCE":"Table 1","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in pre-B lymphocytes upon Cre-Lox knockout of E2A [GeneID=6929].","DESCRIPTION_FULL":"The transcription factors encoded by the E2A gene have been shown to play essential roles in the initiation and progression of lymphocyte development. However, there is still a lack of comprehensive understanding of E2A downstream genes in B-cell development. We previously developed a gene tagging-based chromatin immunoprecipitation (ChIP) system to directly evaluate E2A target genes in B-cell development. Here, we have improved this ChIP strategy and used it in conjunction with microarray analysis on E2A-deficient pre-B-cell lines to determine E2A target genes in lymphocyte development. Both microarray data and ChIP studies confirmed that E2A directly controls IgH gene expression. The microarray assay also revealed genes that were significantly up-regulated after E2A disruption. ChIP analysis showed that E2A was most likely to be directly involved in repression of some of these target genes such as Nfil3 and FGFR2. An inducible E2A reconstitution system further demonstrated that E2A-mediated repression of Nfil3 and FGFR2 was reversible. Collectively, these findings indicate that E2A is a positive regulator for one set of genes and a negative regulator for another set of genes in developing B lymphocytes."}
{"STANDARD_NAME":"NGUYEN_NOTCH1_TARGETS_UP","SYSTEMATIC_NAME":"M15592","ORGANISM":"Homo sapiens","PMID":"16618808","AUTHORS":"Nguyen BC,Lefort K,Mandinova A,Antonini D,Devgan V,Della Gatta G,Koster MI,Zhang Z,Wang J,Tommasi di Vignano A,Kitajewski J,Chiorino G,Roop DR,Missero C,Dotto GP","GEOID":"GSE5229","EXACT_SOURCE":"Table 1S","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in primary keratinocytes by expression of constantly active NOTCH1 [GeneID=4851].","DESCRIPTION_FULL":"Notch signaling promotes commitment of keratinocytes to differentiation and suppresses tumorigenesis. p63, a p53 family member, has been implicated in establishment of the keratinocyte cell fate and/or maintenance of epithelial self-renewal. Here we show that p63 expression is suppressed by Notch1 activation in both mouse and human keratinocytes through a mechanism independent of cell cycle withdrawal and requiring down-modulation of selected interferon-responsive genes, including IRF7 and/or IRF3. In turn, elevated p63 expression counteracts the ability of Notch1 to restrict growth and promote differentiation. p63 functions as a selective modulator of Notch1-dependent transcription and function, with the Hes-1 gene as one of its direct negative targets. Thus, a complex cross-talk between Notch and p63 is involved in the balance between keratinocyte self-renewal and differentiation."}
{"STANDARD_NAME":"ZHAN_MULTIPLE_MYELOMA_CD2_UP","SYSTEMATIC_NAME":"M18513","ORGANISM":"Homo sapiens","PMID":"16728703","AUTHORS":"Zhan F,Huang Y,Colla S,Stewart JP,Hanamura I,Gupta S,Epstein J,Yaccoby S,Sawyer J,Burington B,Anaissie E,Hollmig K,Pineda-Roman M,Tricot G,van Rhee F,Walker R,Zangari M,Crowley J,Barlogie B,Shaughnessy JD Jr","GEOID":"GSE2658","EXACT_SOURCE":"Table 2S: Subgroup = CD-2","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top 50 up-regulated genes in cluster CD-2 of multiple myeloma samples with the characteristic expression spike of CCND3 [GeneID=896].","DESCRIPTION_FULL":"To better define the molecular basis of multiple myeloma (MM), we performed unsupervised hierarchic clustering of mRNA expression profiles in CD138-enriched plasma cells from 414 newly diagnosed patients who went on to receive high-dose therapy and tandem stem cell transplants. Seven disease subtypes were validated that were strongly influenced by known genetic lesions, such as c-MAF- and MAFB-, CCND1- and CCND3-, and MMSET-activating translocations and hyperdiploidy. Indicative of the deregulation of common pathways by gene orthologs, common gene signatures were observed in cases with c-MAF and MAFB activation and CCND1 and CCND3 activation, the latter consisting of 2 subgroups, one characterized by expression of the early B-cell markers CD20 and PAX5. A low incidence of focal bone disease distinguished one and increased expression of proliferation-associated genes of another novel subgroup. Comprising varying fractions of each of the other 6 subgroups, the proliferation subgroup dominated at relapse, suggesting that this signature is linked to disease progression. Proliferation and MMSET-spike groups were characterized by significant overexpression of genes mapping to chromosome 1q, and both exhibited a poor prognosis relative to the other groups. A subset of cases with a predominating myeloid gene expression signature, excluded from the profiling analyses, had more favorable baseline characteristics and superior prognosis to those lacking this signature."}
{"STANDARD_NAME":"HASLINGER_B_CLL_WITH_CHROMOSOME_12_TRISOMY","SYSTEMATIC_NAME":"M1536","ORGANISM":"Homo sapiens","PMID":"15459216","AUTHORS":"Haslinger C,Schweifer N,Stilgenbauer S,Döhner H,Lichter P,Kraut N,Stratowa C,Abseher R","GEOID":"GSE2466","EXACT_SOURCE":"Table 3: 12","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes changed in the B cell chronic lymphocytic leukemia (B-CLL) with trisomy of chromosome 12.","DESCRIPTION_FULL":"PURPOSE: Genomic aberrations and mutational status of the immunoglobulin variable heavy chain (VH) gene have been shown to be among the most important predictors for outcome in patients with B-cell chronic lymphocytic leukemia (B-CLL). In this study, we report on differential gene expression patterns that are characteristic for genetically defined B-CLL subtypes. MATERIALS AND METHODS: One hundred genetically well-characterized B-CLL samples, together with 11 healthy control samples, were analyzed using oligonucleotide arrays, which test for the expression of some 12,000 human genes. RESULTS: Aiming at microarray-based subclassification, class predictors were constructed using sets of differentially expressed genes, which yielded in zero or low misclassification rates. Furthermore, a significant number of the differentially expressed genes clustered in chromosomal regions affected by the respective genomic losses/gains. Deletions affecting chromosome bands 11q22-q23 and 17p13 led to a reduced expression of the corresponding genes, such as ATM and p53, while trisomy 12 resulted in the upregulation of genes mapping to chromosome arm 12q. Using an unsupervised analysis algorithm, expression profiling allowed partitioning into predominantly VH-mutated versus unmutated patient groups; however, association of the expression profile with the VH mutational status could only be detected in male patients. CONCLUSION: The finding that the most significantly differentially expressed genes are located in the corresponding aberrant chromosomal regions indicates that a gene dosage effect may exert a pathogenic role in B-CLL. The significant difference in the partitioning of male and female B-CLL samples suggests that the genomic signature for the VH mutational status might be sex-related."}
{"STANDARD_NAME":"ABBUD_LIF_SIGNALING_1_UP","SYSTEMATIC_NAME":"M1458","ORGANISM":"Mus musculus","PMID":"14576184","AUTHORS":"Abbud RA,Kelleher R,Melmed S","EXACT_SOURCE":"Table 1","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in AtT20 cells (pituitary cancer) after treatment with LIF [GeneID=3976].","DESCRIPTION_FULL":"Leukemia inhibitory factor (LIF) mediates the hypothalamo-pituitary-adrenal stress response. Transgenic mice overexpressing LIF in the developing pituitary have altered pituitary differentiation with expansion of corticotropes, maintenance of Rathke's cleft cysts, and suppression of all other pituitary cell types. Affymetrix GeneChips were used to identify modulators of LIF effects in corticotrope (AtT-20) and somatolactotrope (GH(3)) cells. In addition to genes known to respond to LIF in corticotrope cells [e.g. suppressor of cytokine signaling-3 (SOCS-3), signal transducer and activator of transcription-3, SH2 domain-containing tyrosine phosphatase-1, and proopiomelanocortin (POMC)], corticotrope-specific changes were also observed for genes involved in glycolysis and gluconeogenesis, transcription factors, signaling molecules, and expressed sequence tags. Two transcription factors identified, CCAAT/enhancer-binding protein beta (C/EBPbeta) and glial cell-derived neurotrophic factor (GDNF)-inducible factor (GIF), dose-dependently induced expression of the rat POMC promoter when overexpressed in AtT-20 cells. LIF further induced POMC transcription with C/EBPbeta, but not with GIF. C/EBPbeta also induced expression of the SOCS-3 promoter that was further enhanced by cotreatment with LIF. However, GIF did not affect SOCS-3 expression. These results indicate that C/EBPbeta and GIF are downstream effectors of LIF corticotrope action. LIF also stimulates the expression of inhibitors of its actions, such as SOCS-3 and SH2 domain-containing tyrosine phosphatase-1. alpha(2)-HS-glycoprotein (AHSG)/fetuin, a secreted protein that antagonizes bone TGFbeta/bone morphogenic protein signaling, was induced by LIF in a signal transducer and activator of transcription-3-dependent fashion. Pretreatment with AHSG/fetuin blocked LIF-induced expression of the POMC promoter independently of SOCS-3. Thus, using GeneChips, C/EBPbeta and GIF have been identified as novel mediators and AHSG/fetuin as an inhibitor of LIF action in corticotropes."}
{"STANDARD_NAME":"VERHAAK_AML_WITH_NPM1_MUTATED_UP","SYSTEMATIC_NAME":"M4861","ORGANISM":"Homo sapiens","PMID":"16109776","AUTHORS":"Verhaak RG,Goudswaard CS,Putten van W,Bijl MA,Sanders MA,Hugens W,Uitterlinden AG,Erpelinck CA,Delwel R,Löwenberg B,Valk PJ","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in acute myeloid leukemia (AML) patients with mutated NPM1 [GeneID=4869].","DESCRIPTION_FULL":"Mutations in nucleophosmin NPM1 are the most frequent acquired molecular abnormalities in acute myeloid leukemia (AML). We determined the NPM1 mutation status in a clinically and molecularly well-characterized patient cohort of 275 patients with newly diagnosed AML by denaturing high-performance liquid chromatography (dHPLC). We show that NPM1 mutations are significantly underrepresented in patients younger than 35 years. NPM1 mutations positively correlate with AML with high white blood cell counts, normal karyotypes, and fms-like tyrosine kinase-3 gene (FLT3) internal tandem duplication (ITD) mutations. NPM1 mutations associate inversely with the occurrence of CCAAT/enhancer-binding protein-alpha (CEBPA) and NRAS mutations. With respect to gene expression profiling, we show that AML cases with an NPM1 mutation cluster in specific subtypes of AML with previously established gene expression signatures, are highly associated with a homeobox gene-specific expression signature, and can be predicted with high accuracy. We demonstrate that patients with intermediate cytogenetic risk AML without FLT3 ITD mutations but with NPM1 mutations have a significantly better overall survival (OS) and event-free survival (EFS) than those without NPM1 mutations. Finally, in multivariable analysis NPM1 mutations express independent favorable prognostic value with regard to OS, EFS, and disease-free survival (DFS)."}
{"STANDARD_NAME":"BASSO_CD40_SIGNALING_DN","SYSTEMATIC_NAME":"M1899","ORGANISM":"Homo sapiens","PMID":"15331443","AUTHORS":"Basso K,Klein U,Niu H,Stolovitzky GA,Tu Y,Califano A,Cattoretti G,Dalla-Favera R","EXACT_SOURCE":"Table 1S: CD40 down-regulated genes","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Gene down-regulated by CD40 [GeneID=958] signaling in Ramos cells (EBV negative Burkitt lymphoma).","DESCRIPTION_FULL":"Substantial evidence indicates that signaling through the CD40 receptor (CD40) is required for germinal center (GC) and memory B-cell formation. However, it is not fully understood at which stages of B-cell development the CD40 pathway is activated in vivo. To address this question, we induced CD40 signaling in human transformed GC B cells in vitro and identified a CD40 gene expression signature by DNA microarray analysis. This signature was then investigated in the gene expression profiles of normal B cells and found in pre- and post-GC B cells (naive and memory) but, surprisingly, not in GC B cells. This finding was validated in lymphoid tissues by showing that the nuclear factor-kappaB (NF-kappaB) transcription factors, which translocate to the nucleus upon CD40 stimulation, are retained in the cytoplasm in most GC B cells, indicating the absence of CD40 signaling. Nevertheless, a subset of centrocytes and B cells in the subepithelium showed nuclear staining of multiple NF-kappaB subunits, suggesting that a fraction of naive and memory B cells may be subject to CD40 signaling or to other signals that activate NF-kappaB. Together, these results show that GC expansion occurs in the absence of CD40 signaling, which may act only in the initial and final stages of the GC reaction."}
{"STANDARD_NAME":"ZHAN_MULTIPLE_MYELOMA_MF_UP","SYSTEMATIC_NAME":"M10770","ORGANISM":"Homo sapiens","PMID":"16728703","AUTHORS":"Zhan F,Huang Y,Colla S,Stewart JP,Hanamura I,Gupta S,Epstein J,Yaccoby S,Sawyer J,Burington B,Anaissie E,Hollmig K,Pineda-Roman M,Tricot G,van Rhee F,Walker R,Zangari M,Crowley J,Barlogie B,Shaughnessy JD Jr","GEOID":"GSE2658","EXACT_SOURCE":"Table 2S: Subgroup = MF","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top 50 up-regulated genes in cluster MF of multiple myeloma samples with characteristic expression spike of MAF family transcription factors.","DESCRIPTION_FULL":"To better define the molecular basis of multiple myeloma (MM), we performed unsupervised hierarchic clustering of mRNA expression profiles in CD138-enriched plasma cells from 414 newly diagnosed patients who went on to receive high-dose therapy and tandem stem cell transplants. Seven disease subtypes were validated that were strongly influenced by known genetic lesions, such as c-MAF- and MAFB-, CCND1- and CCND3-, and MMSET-activating translocations and hyperdiploidy. Indicative of the deregulation of common pathways by gene orthologs, common gene signatures were observed in cases with c-MAF and MAFB activation and CCND1 and CCND3 activation, the latter consisting of 2 subgroups, one characterized by expression of the early B-cell markers CD20 and PAX5. A low incidence of focal bone disease distinguished one and increased expression of proliferation-associated genes of another novel subgroup. Comprising varying fractions of each of the other 6 subgroups, the proliferation subgroup dominated at relapse, suggesting that this signature is linked to disease progression. Proliferation and MMSET-spike groups were characterized by significant overexpression of genes mapping to chromosome 1q, and both exhibited a poor prognosis relative to the other groups. A subset of cases with a predominating myeloid gene expression signature, excluded from the profiling analyses, had more favorable baseline characteristics and superior prognosis to those lacking this signature."}
{"STANDARD_NAME":"JAIN_NFKB_SIGNALING","SYSTEMATIC_NAME":"M17646","ORGANISM":"Homo sapiens","PMID":"15578091","AUTHORS":"Jain A,Ma CA,Lopez-Granados E,Means G,Brady W,Orange JS,Liu S,Holland S,Derry JM","EXACT_SOURCE":"Table 3","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes abnormally regulated in response to CD40L and IL4 [GeneID=959;3565] stimulation of B lymphocytes from patients with a hypomorphic mutation of IKBKG [GeneID=8517].","DESCRIPTION_FULL":"Hypomorphic mutations in the zinc finger domain of NF-kappaB essential modulator (NEMO) cause X-linked hyper-IgM syndrome with ectodermal dysplasia (XHM-ED). Here we report that patient B cells are characterized by an absence of Ig somatic hypermutation (SHM) and defective class switch recombination (CSR) despite normal induction of activation-induced cytidine deaminase (AID) and Iepsilon-Cepsilon transcripts. This indicates that AID expression alone is insufficient to support neutralizing antibody responses. Furthermore, we show that patient B cells stimulated with CD40 ligand are impaired in both p65 and c-Rel activation, and whereas addition of IL-4 can enhance p65 activity, c-Rel activity remains deficient. This suggests that these NF-kappaB components have different activation requirements and that IL-4 can augment some but not all NEMO-dependent NF-kappaB signaling. Finally, using microarray analysis of patient B cells we identified downstream effects of impaired NF-kappaB activation and candidate factors that may be necessary for CSR and SHM in B cells."}
{"STANDARD_NAME":"STAEGE_EWING_FAMILY_TUMOR","SYSTEMATIC_NAME":"M10582","ORGANISM":"Homo sapiens","PMID":"15548687","AUTHORS":"Staege MS,Hutter C,Neumann I,Foja S,Hattenhorst UE,Hansen G,Afar D,Burdach SE","GEOID":"GSE1824,GSE1822,GSE1825","EXACT_SOURCE":"Table 1","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in Ewing family tumors (EFT) compared with normal bone marrow samples.","DESCRIPTION_FULL":"Ewing family tumors (EFTs) are small round blue cell tumors that show features of neuroectodermal differentiation. However, the histogenetic origin of EFTs is still a matter of debate. We used high-density DNA microarrays for the identification of EFT-specific gene expression profiles in comparison with normal tissues of diverse origin. We identified 37 genes that are up-regulated in EFTs compared with normal tissues and validated expression of these genes in EFTs by both conventional and quantitative reverse transcription-polymerase chain reaction. The expression pattern of EFT-associated genes in normal tissues indicated a high similarity between EFTs and fetal and neuronal as well as endothelial tissues and supports the concept that a primitive neural crest-derived progenitor at the transition to mesenchymal and endothelial differentiation is transformed in EFTs. EFT-associated genes could be used for molecular discrimination between EFTs and other small round blue cell tumors and clearly identified a cell line (SK-N-MC) that was initially established as neuroblastoma as being an EFT. Ectopic expression of the EFT-specific EWS-FLI1 fusion protein in human embryonic kidney (HEK293) cells was not sufficient to induce the complete EFT-specific gene expression signature, suggesting that the EFT-specific gene expression profile is not just a consequence of EWS-FLI1 expression but depends on the histogenetic background of the EFT stem cell."}
{"STANDARD_NAME":"GALE_APL_WITH_FLT3_MUTATED_UP","SYSTEMATIC_NAME":"M3845","ORGANISM":"Homo sapiens","PMID":"16105978","AUTHORS":"Gale RE,Hills R,Pizzey AR,Kottaridis PD,Swirsky D,Gilkes AF,Nugent E,Mills KI,Wheatley K,Solomon E,Burnett AK,Linch DC,Grimwade D,NCRI Adult Leukaemia Working Party","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in acute promyelocytic leukemia (APL) patients with mutated FLT3 [GeneID=2322].","DESCRIPTION_FULL":"The prognostic significance of FLT3 mutations in acute promyelocytic leukemia (APL) is not firmly established and is of particular interest given the opportunities for targeted therapies using FLT3 inhibitors. We studied 203 patients with PML-RARA-positive APL; 43% of the patients had an FLT3 mutation (65 internal tandem duplications [ITDs], 19 D835/I836, 4 ITD+D835/I836). Both mutations were associated with higher white blood cell (WBC) count at presentation; 75% of the patients with WBC counts of 10 x 10(9)/L or greater had mutant FLT3. FLT3/ITDs were correlated with M3v subtype (P < .001), bcr3 PML breakpoint (P < .001), and expression of reciprocal RARA-PML transcripts (P = .01). Microarray analysis revealed differences in expression profiles among patients with FLT3/ITD, D835/I836, and wild-type FLT3. Patients with mutant FLT3 had a higher rate of induction death (19% vs 9%; P = .04, but no significant difference in relapse risk (28% vs 23%; P = .5) or overall survival (59% vs 67%; P = .2) at 5 years. In in vitro differentiation assays using primary APL blasts (n = 6), the FLT3 inhibitor CEP-701 had a greater effect on cell survival/proliferation in FLT3/ITD+ cells, but this inhibition was reduced in the presence of ATRA. Furthermore, in the presence of CEP-701, ATRA-induced differentiation was reduced in FLT3/ITD+ cells. These data carry implications for the use of FLT3 inhibitors as frontline therapy for APL."}
{"STANDARD_NAME":"THEILGAARD_NEUTROPHIL_AT_SKIN_WOUND_DN","SYSTEMATIC_NAME":"M11234","ORGANISM":"Homo sapiens","PMID":"15187151","AUTHORS":"Theilgaard-Mönch K,Knudsen S,Follin P,Borregaard N","EXACT_SOURCE":"Table 3","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in polymorphonuclear neutrophilic granulocytes (PMNs) attracted to skin wounds.","DESCRIPTION_FULL":"To investigate the cellular fate and function of polymorphonuclear neutrophilic granulocytes (PMNs) attracted to skin wounds, we used a human skin-wounding model and microarray technology to define differentially expressed genes in PMNs from peripheral blood, and PMNs that had transmigrated to skin lesions. After migration to skin lesions, PMNs demonstrated a significant transcriptional response including genes from several different functional categories. The up-regulation of anti-apoptotic genes concomitant with the down-regulation of proapoptotic genes suggested a transient anti-apoptotic priming of PMNs. Among the up-regulated genes were cytokines and chemokines critical for chemotaxis of macrophages, T cells, and PMNs, and for the modulation of their inflammatory responses. PMNs in skin lesions down-regulated receptors mediating chemotaxis and anti-microbial activity, but up-regulated other receptors involved in inflammatory responses. These findings indicate a change of responsiveness to chemotactic and immunoregulatory mediators once PMNs have migrated to skin lesions and have been activated. Other effects of the up-regulated cytokines/chemokines/enzymes were critical for wound healing. These included the breakdown of fibrin clots and degradation of extracellular matrix, the promotion of angiogenesis, the migration and proliferation of keratinocytes and fibroblasts, the adhesion of keratinocytes to the dermal layer, and finally, the induction of anti-microbial gene expression in keratinocytes. Notably, the up-regulation of genes, which activate lysosomal proteases, indicate a priming of skin lesion-PMNs for degradation of phagocytosed material. These findings demonstrate that migration of PMNs to skin lesions induces a transcriptional activation program, which regulates cellular fate and function, and promotes wound healing."}
{"STANDARD_NAME":"FAELT_B_CLL_WITH_VH_REARRANGEMENTS_DN","SYSTEMATIC_NAME":"M10389","ORGANISM":"Homo sapiens","PMID":"15817677","AUTHORS":"Fält S,Merup M,Tobin G,Thunberg U,Gahrton G,Rosenquist R,Wennborg A","EXACT_SOURCE":"Table 2S","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in B-CLL (B-cell chronic lymphocytic leukemia) patients with mutated immunoglobulin variable heavy chain (VH) genes.","DESCRIPTION_FULL":"The usage of the immunoglobulin (Ig) V(H)3-21 gene is associated with poor prognosis in B-cell chronic lymphocytic leukemia (B-CLL) despite V(H) gene mutation status. Many V(H)3-21+ patients also display restricted heavy- and light-chain Ig gene rearrangements, implying a role of antigen selection in disease development. To explore the specific phenotypic/genotypic features among V(H)3-21+ B-CLLs, we compared gene expression patterns in 15 V(H)3-21+ and 24 non-V(H)3-21 patients (11 with unmutated and 13 with mutated V(H) genes) using Affymetrix microarray analysis (approximately 12,500 genes). A distinct expression profile was identified for V(H)3-21+ patients in contrast to the Ig-unmutated and -mutated groups. By applying different algorithms, the data enabled an efficient class discrimination of the V(H)3-21+ subset based on 27 or 57 genes. A set of genes was sorted out which, using different analytical methods, consistently gave a distinction between V(H)3-21+ and non-V(H)3-21 samples. Several of these genes are involved in regulation of DNA replication/cell-cycle control, transcription and protein kinase activity, which may render the V(H)3-21+ cells with a higher proliferative drive. However, no clear evidence of increased B-cell receptor signaling was found in the V(H)3-21+ group. Altogether, our identification of a specific V(H)3-21 profile may provide insights into the pathogenesis of the V(H)3-21+ subgroup."}
{"STANDARD_NAME":"ALCALAY_AML_BY_NPM1_LOCALIZATION_DN","SYSTEMATIC_NAME":"M19867","ORGANISM":"Homo sapiens","PMID":"15831697","AUTHORS":"Alcalay M,Tiacci E,Bergomas R,Bigerna B,Venturini E,Minardi SP,Meani N,Diverio D,Bernard L,Tizzoni L,Volorio S,Luzi L,Colombo E,Lo Coco F,Mecucci C,Falini B,Pelicci PG","EXACT_SOURCE":"Table S2: DECREASED EXPRESSION IN NPMc+ LEUKEMIAS","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in acute myeloid leukemia (AML) with respect to cellular localization of NPM1 [GeneID=4869]: cytoplasmic vs. nucleolar.","DESCRIPTION_FULL":"Approximately one third of acute myeloid leukemias (AMLs) are characterized by aberrant cytoplasmic localization of nucleophosmin (NPMc+ AML), consequent to mutations in the NPM putative nucleolar localization signal. These events are mutually exclusive with the major AML-associated chromosomal rearrangements, and are frequently associated with normal karyotype, FLT3 mutations, and multilineage involvement. We report the gene expression profiles of 78 de novo AMLs (72 with normal karyotype; 6 without major chromosomal abnormalities) that were characterized for the subcellular localization and mutation status of NPM. Unsupervised clustering clearly separated NPMc+ from NPMc- AMLs, regardless of the presence of FLT3 mutations or non-major chromosomal rearrangements, supporting the concept that NPMc+ AML represents a distinct entity. The molecular signature of NPMc+ AML includes up-regulation of several genes putatively involved in the maintenance of a stem-cell phenotype, suggesting that NPMc+ AML may derive from a multipotent hematopoietic progenitor."}
{"STANDARD_NAME":"KANG_IMMORTALIZED_BY_TERT_DN","SYSTEMATIC_NAME":"M1514","ORGANISM":"Homo sapiens","PMID":"15579653","AUTHORS":"Kang SK,Putnam L,Dufour J,Ylostalo J,Jung JS,Bunnell BA","EXACT_SOURCE":"Table 2","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated genes in the signature of adipose stromal cells (ADSC) immortalized by forced expression of telomerase (TERT) [GeneID=7015].","DESCRIPTION_FULL":"Expression of TERT, the catalytic protein subunit of the telomerase complex, can be used to generate cell lines that expand indefinitely and retain multilineage potential. We have created immortal adipose stromal cell lines (ATSCs) by stably transducing nonhuman primate-derived ATSCs with a retroviral vector expressing TERT. Transduced cells (ATSC-TERT) had an increased level of telomerase activity and increased mean telomere length in the absence of malignant cellular transformation. Long-term culture of the ATSC-TERT cells demonstrated that the cells retain the ability to undergo differentiation along multiple lineages such as adipogenic, chondrogenic, and neurogenic. Untransduced cells demonstrated markedly reduced multilineage and self-renewal potentials after 12 passages in vitro. To determine the functional role of telomerase during osteogenesis, we examined osteogenic differentiation potential of ATSC-TERT cells in vitro. Compared with naive ATSCs, which typically begin to accumulate calcium after 3-4 weeks of induction by osteogenic differentiation medium, ATSC-TERT cells were found to accumulate significant amounts of calcium after only 1 week of culture in osteogenic induction medium. The cells have increased production of osteoblastic markers, such as AP2, osteoblast-specific factor 2, chondroitin sulfate proteoglycan 4, and the tumor necrosis factor receptor superfamily, compared with control ATSCs, indicating that telomerase expression may aid in maintaining the osteogenic stem cell pool during in vitro expansion. These results show that ectopic expression of the telomerase gene in nonhuman primate ATSCs prevents senescence-associated impairment of osteoblast functions and that telomerase therapy may be a useful strategy for bone regeneration and repair."}
{"STANDARD_NAME":"YAO_HOXA10_TARGETS_VIA_PROGESTERONE_DN","SYSTEMATIC_NAME":"M4435","ORGANISM":"Mus musculus","PMID":"12554760","AUTHORS":"Yao MW,Lim H,Schust DJ,Choe SE,Farago A,Ding Y,Michaud S,Church GM,Maas RL","GEOID":"GSE108,GSE109","EXACT_SOURCE":"Table 2","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in the uteri of ovariectomized mice 6 h after progesterone [PubChem=5994] injection: HOXA10 [GeneID=3206] knockout vs wild type animals.","DESCRIPTION_FULL":"Human infertility and recurrent pregnancy loss caused by implantation defects are poorly understood. Hoxa-10-deficient female mice have severe infertility and recurrent pregnancy loss due to defective uterine implantation. Gene expression profiling experiments reveal that Hoxa-10 is an important regulator of two critical events in implantation: stromal cell proliferation and local immunosuppression. At the time of implantation, Hoxa-10 mediates the progesterone-stimulated proliferation of uterine stromal cells. Hoxa-10 mutants express a stromal cell proliferation defect that is accompanied by quantitative or spatial alterations in the expression of two cyclin-dependent kinase inhibitor genes, p57 and p15. Hoxa-10 deficiency also leads to a severe local immunological disturbance, characterized by a polyclonal proliferation of T cells, that occurs in place of the normal progesterone-mediated immunosuppression in the periimplantation uterus."}
{"STANDARD_NAME":"MOREAUX_MULTIPLE_MYELOMA_BY_TACI_UP","SYSTEMATIC_NAME":"M19025","ORGANISM":"Homo sapiens","PMID":"15827134","AUTHORS":"Moreaux J,Cremer FW,Reme T,Raab M,Mahtouk K,Kaukel P,Pantesco V,De Vos J,Jourdan E,Jauch A,Legouffe E,Moos M,Fiol G,Goldschmidt H,Rossi JF,Hose D,Klein B","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Up-regulated genes distinguishing in multiple myeloma (MM) samples with higher expression of TACI [GeneID=23495].","DESCRIPTION_FULL":"B-cell activating factor (BAFF) and a proliferation-inducing ligand (APRIL) have been shown to promote multiple myeloma (MM) cell growth. We show that the main site of production for BAFF and APRIL is the bone marrow (BM) environment, and that production is mainly by monocytes and neutrophils. In addition, osteoclasts produce very high levels of APRIL, unlike BM stromal cells. Myeloma cells (MMCs) express TACI (transmembrane activator and calcium modulator and cyclophilin ligand interactor), the receptor of BAFF/APRIL, at varying levels. TACI expression is a good indicator of a BAFF-binding receptor. Expression data of purified MMCs from 65 newly diagnosed patients have been generated using Affymetrix microarrays and were analyzed by supervised clustering of groups with higher (TACI(hi)) versus lower (TACI(lo)) TACI expression levels. Patients in the TACI(lo) group had clinical parameters associated with bad prognosis. A set of 659 genes was differentially expressed between TACI(hi) and TACI(lo) MMCs. This set makes it possible to efficiently classify TACI(hi) and TACI(lo) MMCs in an independent cohort of 40 patients. TACI(hi) MMCs displayed a mature plasma cell gene signature, indicating dependence on the BM environment. In contrast, the TACI(lo) group had a gene signature of plasmablasts, suggesting an attenuated dependence on the BM environment. Taken together, our findings suggest using gene expression profiling to identify the group of patients who might benefit most from treatment with BAFF/APRIL inhibitors."}
{"STANDARD_NAME":"CHIARETTI_ACUTE_LYMPHOBLASTIC_LEUKEMIA_ZAP70","SYSTEMATIC_NAME":"M305","ORGANISM":"Homo sapiens","PMID":"16160012","AUTHORS":"Chiaretti S,Guarini A,Propris De MS,Tavolaro S,Intoppa S,Vitale A,Iacobelli S,Elia L,Ariola C,Ritz J,Foà R","EXACT_SOURCE":"Table 1","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Differentially expressed genes between high vs low ZAP70 [GeneID=7535] acute lymphoblastic leukemia (ALL) cases with no known molecular aberrations.","DESCRIPTION_FULL":"We evaluated the expression of 2 members of the Syk family, ZAP-70 and Syk, in acute lymphoblastic leukemia (ALL) samples, using data derived from a series of 33 T-ALL and 95 B-lineage adult ALL patients analyzed by oligonucleotide arrays. Of the B-lineage ALL cases, 37 were BCR/ABL+, 10 were ALL1/AF4+, 5 were E2A/PBX1+, and 43 carried no known molecular abnormality. ZAP-70 was highly expressed in T-ALL. A high ZAP-70 expression was also found in a proportion of B-lineage ALL, the highest levels being associated with the E2A/PBX1+ group and the lowest with ALL1/AF4+ cases (P < .001). A higher ZAP-70 expression was also observed in the pre-B group (P < .001). Remarkably, Syk expression was always preserved, suggesting that ZAP-70 expression is not substitutive of Syk. At the protein level, ZAP-70 was evaluated on 39 newly diagnosed ALL patients (25 adults, 14 children) and was detected in 23 cases (59%). ZAP-70 expression was consistently found in Ig mu+ cases. Evaluation of long-term outcome in cases without molecular abnormalities showed that the higher levels of ZAP-70 were coupled to a higher relapse rate. In ALL, ZAP-70 expression is associated with the E2A/PBX1 rearrangement and pre-B stage and may have a prognostic role and be a candidate molecule for targeted therapies."}
{"STANDARD_NAME":"XU_RESPONSE_TO_TRETINOIN_UP","SYSTEMATIC_NAME":"M4385","ORGANISM":"Homo sapiens","PMID":"16140955","AUTHORS":"Xu K,Guidez F,Glasow A,Chung D,Petrie K,Stegmaier K,Wang KK,Zhang J,Jing Y,Zelent A,Waxman S","EXACT_SOURCE":"Table 2A","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in NB4 cells (acute promyelocytic leukemia, APL) by tretinoin [PubChem=444795] alone.","DESCRIPTION_FULL":"Differentiation induction is an effective therapy for acute promyelocytic leukemia (APL), which dramatically responds to all-trans-retinoic acid (ATRA). Recent studies have indicated that combinatorial use of retinoid and nonretinoid compounds, such as histone deacetylase inhibitors, arsenics, and PKA agonists, has higher therapeutic value in this disease and potentially in other malignancies. In a screen of 370 compounds, we identified benzodithiophene analogues as potent enhancers of ATRA-induced APL cell differentiation. These effects were not associated with changes in global histone acetylation and, for the most potent compounds, were exerted at very low nanomolar concentrations, and were paralleled by enhancement of some, but not all, ATRA-modulated gene expressions. Investigating the mechanism underlying the effects of these drugs on ATRA-induced APL cell differentiation, we have shown that benzodithiophenes enhance ATRA-mediated dissociation and association of corepressor N-CoR and coactivator p300 acetyltransferase, respectively, with retinoic acid receptor (RAR) alpha proteins. These data suggest that benzodithiophenes act at the level of receptor activation, possibly by affecting posttranslational modification of the receptor (and/or coregulators), thus leading to an enhancement in ATRA-mediated effects on gene expression and APL cell differentiation. Given the specificities of these low benzodithiophene concentrations for PML-RARalpha and RARalpha, these drugs may be useful for combinatorial differentiation therapy of APL and possibly other acute myelogenous leukemia subtypes in which the overall ATRA signaling is suppressed."}
{"STANDARD_NAME":"ABRAHAM_ALPC_VS_MULTIPLE_MYELOMA_DN","SYSTEMATIC_NAME":"M9880","ORGANISM":"Homo sapiens","PMID":"15388584","AUTHORS":"Abraham RS,Ballman KV,Dispenzieri A,Grill DE,Manske MK,Price-Troska TL,Paz NG,Gertz MA,Fonseca R","EXACT_SOURCE":"Table 5","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in immunoglobulin light chain amyloidosis plasma cells (ALPC) compared to multiple myeloma (MM) cells.","DESCRIPTION_FULL":"Immunoglobulin light chain amyloidosis (AL) is characterized by a clonal expansion of plasma cells within the bone marrow. Gene expression analysis was used to identify a unique molecular profile for AL using enriched plasma cells (CD138+) from the bone marrow of 24 patients with AL and 28 patients with multiple myeloma (MM) and 6 healthy controls. Class prediction analysis (PAM) revealed a subset of 12 genes, which included TNFRSF7 (CD27), SDF-1, and PSMA2, that distinguished between these 2 groups with an estimated and observed accuracy of classification of 92%. This model was validated with an independent dataset of 11 patients with AL and 12 patients with MM with 87% accuracy. Differential expression for the most discriminant genes in the 12-gene subset was validated using quantitative real-time polymerase chain reaction and protein expression analysis, which upheld the observations from the micro-array expression data. Functional analyses using a novel network mapping software revealed a number of potentially significant pathways that were dysregulated in patients with AL, with those regulating proliferation, apoptosis, cell signaling, chemotaxis, and migration being substantially represented. This study provides new insight into the molecular profile of clonal plasma cells and its functional relevance in the pathogenesis of light chain amyloidosis."}
{"STANDARD_NAME":"MARCINIAK_ER_STRESS_RESPONSE_VIA_CHOP","SYSTEMATIC_NAME":"M1477","ORGANISM":"Mus musculus","PMID":"15601821","AUTHORS":"Marciniak SJ,Yun CY,Oyadomari S,Novoa I,Zhang Y,Jungreis R,Nagata K,Harding HP,Ron D","GEOID":"GSE2082","EXACT_SOURCE":"Table 1S","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Endoplasmic retuculum (ER) stress response (caused by tunicamycin [PubChem=5282055]) genes dependent on CHOP [GeneID=13198].","DESCRIPTION_FULL":"Unfolded and malfolded client proteins impose a stress on the endoplasmic reticulum (ER), which contributes to cell death in pathophysiological conditions. The transcription factor C/EBP homologous protein (CHOP) is activated by ER stress, and CHOP deletion protects against its lethal consequences. We find that CHOP directly activates GADD34, which promotes ER client protein biosynthesis by dephosphorylating phospho-Ser 51 of the alpha-subunit of translation initiation factor 2 (eIF2alpha) in stressed cells. Thus, impaired GADD34 expression reduces client protein load and ER stress in CHOP(-/-) cells exposed to perturbations that impair ER function. CHOP(-/-) and GADD34 mutant cells accumulate less high molecular weight protein complexes in their stressed ER than wild-type cells. Furthermore, mice lacking GADD34-directed eIF2alpha dephosphorylation, like CHOP(-/-) mice, are resistant to renal toxicity of the ER stress-inducing drug tunicamycin. CHOP also activates ERO1alpha, which encodes an ER oxidase. Consequently, the ER of stressed CHOP(-/-) cells is relatively hypo-oxidizing. Pharmacological and genetic manipulations that promote a hypo-oxidizing ER reduce abnormal high molecular weight protein complexes in the stressed ER and protect from the lethal consequences of ER stress. CHOP deletion thus protects cells from ER stress by decreasing ER client protein load and changing redox conditions within the organelle."}
{"STANDARD_NAME":"ZHAN_V2_LATE_DIFFERENTIATION_GENES","SYSTEMATIC_NAME":"M13059","ORGANISM":"Homo sapiens","PMID":"12393520","AUTHORS":"Zhan F,Tian E,Bumm K,Smith R,Barlogie B,Shaughnessy J Jr","EXACT_SOURCE":"Table 6","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"The v2LDG set: 50 most variable late differentiation genes (LDG) with similar expression patterns in bone marrow plasma cells (BPC) and multiple myeloma (MM) samples.","DESCRIPTION_FULL":"To identify genes linked to normal plasma cell (PC) differentiation and to classify multiple myeloma (MM) with respect to the expression patterns of these genes, we analyzed global mRNA expression in CD19-enriched B cells (BCs) from 7 tonsils, CD138-enriched PCs from 11 tonsils, 31 normal bone marrow samples, and 74 MM bone marrow samples using microarrays interrogating 6800 genes. Hierarchical clustering analyses with 3288 genes clearly segregated the 4 cell types, and chi-square and Wilcoxin rank sum tests (P <.0005) identified 359 and 500 previously defined and novel genes that distinguish tonsil BCs from tonsil PCs (early differentiation genes [EDGs]), and tonsil PCs from bone marrow PCs (late differentiation genes [LDGs]), respectively. MM as a whole was found to have dramatically variable expression of EDGs and LDGs, and one-way analysis of variance (ANOVA) was used to identify the most variable EDGs (vEDGs) and LDGs (v1LDG and v2LDG). Hierarchical cluster analysis with these genes revealed that previously defined MM gene expression subgroups (MM1-MM4) could be linked to one of the 3 normal cell types. Clustering with 30 vEDGs revealed that 13 of 18 MM4 cases clustered with tonsil BCs (P =.000 05), whereas 14 of 15 MM3 cases clustered with tonsil PCs when using 50 v1LDG (P =.000 008), and 14 of 20 MM2 cases clustered with bone marrow PCs when using 50 v2LDG (P =.000 09). MM1 showed no significant linkage with normal cell types studied. Thus, genes whose expression is linked to distinct transitions in late-stage B-cell differentiation can be used to classify MM."}
{"STANDARD_NAME":"DORSEY_GAB2_TARGETS","SYSTEMATIC_NAME":"M14557","ORGANISM":"Homo sapiens","PMID":"11830491","AUTHORS":"Dorsey JF,Cunnick JM,Mane SM,Wu J","EXACT_SOURCE":"Table 1","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated by expression of GAB2 [GeneID=9846] in K562 cells (chronic myeloid leukemia (CML) cell line with p210 BCR-ABL [GeneID=613;25]).","DESCRIPTION_FULL":"In the blast crisis phase of chronic myelogenous leukemia (CML), Bcr-Abl(+) myeloblasts fail to undergo terminal maturation. The extracellular signal-regulated kinase (Erk) mitogen-activated protein (MAP) kinase has been shown to mediate terminal differentiation of myeloid cells. Interestingly, Bcr-Abl(+) CML cell lines established from blast crisis were found to have low Erk MAP kinase activity. In this study, we analyzed the role of the Gab2 docking protein in regulation of the Erk MAP kinase in Bcr-Abl(+) K562 human CML cells. Overexpression of Gab2 in K562 cells resulted in transcriptional activation of the c-fos serum response element (SRE) promoter, whereas overexpression of SHP2, Grb2, and CrkL had no effect. Activation of the c-fos SRE transcriptional activity by Gab2 required tyrosine 604, which is a SHP2 docking site on Gab2, and the SHP2 tyrosine phosphatase activity. Elk1, c-Jun, and CHOP trans-reporting assays indicated that overexpression of Gab2 selectively activated the Erk2-Elk1 signaling pathway. To determine cellular consequences of elevating the Gab2 level in K562 cells, stable cell lines for doxycycline-inducible expression of the wild-type Gab2 (Gab2WT) and an SHP2-binding defective Gab2 (Gab2Tyr604Phe) were established. Analysis of these cell lines indicated that induction of Gab2WT expression, but not Gab2Tyr604Phe expression, led to Erk activation, growth arrest, cell spreading, and enlargement; expression of megakaryocyte/platelet lineage-specific integrins alphaIIb/beta3 (CD41/CD61); and upregulation of RNA for megakaryocyte/platelet proteins. All of these changes are characteristics of megakaryocytic differentiation. Together, these results reveal Gab2 as a limiting signaling component for Erk MAP kinase activation and terminal differentiation of K562 CML cells."}
{"STANDARD_NAME":"NAKAJIMA_MAST_CELL","SYSTEMATIC_NAME":"M389","ORGANISM":"Homo sapiens","PMID":"11493461","AUTHORS":"Nakajima T,Matsumoto K,Suto H,Tanaka K,Ebisawa M,Tomita H,Yuki K,Katsunuma T,Akasawa A,Hashida R,Sugita Y,Ogawa H,Ra C,Saito H","EXACT_SOURCE":"Table 1","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top 50 most-increased mast cell specific genes.","DESCRIPTION_FULL":"Mast cells (MCs) and eosinophils are thought to play important roles in evoking allergic inflammation. Cell-type--specific gene expression was screened among 12,000 genes in human MCs and eosinophils with the use of high-density oligonucleotide probe arrays. In comparison with other leukocytes, MCs expressed 140 cell-type--specific transcripts, whereas eosinophils expressed only 34. Among the transcripts for expected MC-specific proteins such as tryptase, major basic protein (MBP), which had been thought to be eosinophil specific, was ranked fourth in terms of amounts of increased MC-specific messenger RNA. Mature eosinophils were almost lacking this transcript. MCs obtained from 4 different sources (ie, lung, skin, adult peripheral blood progenitor--derived and cord blood progenitor--derived MCs, and eosinophils) were found to have high protein levels of MBP in their granules with the use of flow cytometric and confocal laser scanning microscopic analyses. The present finding that MCs can produce abundant MBP is crucial because many reports regarding allergic pathogenesis have been based on earlier findings that MBP was almost unique to eosinophils and not produced by MCs. (Blood. 2001;98:1127-1134)"}
{"STANDARD_NAME":"LIAN_NEUTROPHIL_GRANULE_CONSTITUENTS","SYSTEMATIC_NAME":"M1478","ORGANISM":"Mus musculus","PMID":"11468144","AUTHORS":"Lian Z,Wang L,Yamaga S,Bonds W,Beazer-Barclay Y,Kluger Y,Gerstein M,Newburger PE,Berliner N,Weissman SM","EXACT_SOURCE":"Table 4","CHIP":"AFFY_Mu11K","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Granule constituents expressed during mouse promyelocytic cell line differentiation to neutrophils.","DESCRIPTION_FULL":"Although the mature neutrophil is one of the better characterized mammalian cell types, the mechanisms of myeloid differentiation are incompletely understood at the molecular level. A mouse promyelocytic cell line (MPRO), derived from murine bone marrow cells and arrested developmentally by a dominant-negative retinoic acid receptor, morphologically differentiates to mature neutrophils in the presence of 10 microM retinoic acid. An extensive catalog was prepared of the gene expression changes that occur during morphologic maturation. To do this, 3'-end differential display, oligonucleotide chip array hybridization, and 2-dimensional protein electrophoresis were used. A large number of genes whose mRNA levels are modulated during differentiation of MPRO cells were identified. The results suggest the involvement of several transcription regulatory factors not previously implicated in this process, but they also emphasize the importance of events other than the production of new transcription factors. Furthermore, gene expression patterns were compared at the level of mRNA and protein, and the correlation between 2 parameters was studied. (Blood. 2001;98:513-524)"}
{"STANDARD_NAME":"ZHAN_MULTIPLE_MYELOMA_MS_UP","SYSTEMATIC_NAME":"M19632","ORGANISM":"Homo sapiens","PMID":"16728703","AUTHORS":"Zhan F,Huang Y,Colla S,Stewart JP,Hanamura I,Gupta S,Epstein J,Yaccoby S,Sawyer J,Burington B,Anaissie E,Hollmig K,Pineda-Roman M,Tricot G,van Rhee F,Walker R,Zangari M,Crowley J,Barlogie B,Shaughnessy JD Jr","GEOID":"GSE2658","EXACT_SOURCE":"Table 2S: Subgroup = MS","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top 50 up-regulated genes in cluster MS of multiple myeloma samples with characteristic expression spike of WHSC1 [GeneID=7468].","DESCRIPTION_FULL":"To better define the molecular basis of multiple myeloma (MM), we performed unsupervised hierarchic clustering of mRNA expression profiles in CD138-enriched plasma cells from 414 newly diagnosed patients who went on to receive high-dose therapy and tandem stem cell transplants. Seven disease subtypes were validated that were strongly influenced by known genetic lesions, such as c-MAF- and MAFB-, CCND1- and CCND3-, and MMSET-activating translocations and hyperdiploidy. Indicative of the deregulation of common pathways by gene orthologs, common gene signatures were observed in cases with c-MAF and MAFB activation and CCND1 and CCND3 activation, the latter consisting of 2 subgroups, one characterized by expression of the early B-cell markers CD20 and PAX5. A low incidence of focal bone disease distinguished one and increased expression of proliferation-associated genes of another novel subgroup. Comprising varying fractions of each of the other 6 subgroups, the proliferation subgroup dominated at relapse, suggesting that this signature is linked to disease progression. Proliferation and MMSET-spike groups were characterized by significant overexpression of genes mapping to chromosome 1q, and both exhibited a poor prognosis relative to the other groups. A subset of cases with a predominating myeloid gene expression signature, excluded from the profiling analyses, had more favorable baseline characteristics and superior prognosis to those lacking this signature."}
{"STANDARD_NAME":"MA_MYELOID_DIFFERENTIATION_UP","SYSTEMATIC_NAME":"M1479","ORGANISM":"Mus musculus","PMID":"12130493","AUTHORS":"Ma X,Husain T,Peng H,Lin S,Mironenko O,Maun N,Johnson S,Tuck D,Berliner N,Krause DS,Perkins AS","EXACT_SOURCE":"Table 7","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated during myeloid differentiation induced by tretinoin (ATRA) [PubChem=444795] and IL3 [GeneID=3652] in the EML cell line (myeloid progenitor).","DESCRIPTION_FULL":"With the goal of creating a resource for in-depth study of myelopoiesis, we have executed a 2-pronged strategy to obtain a complementary DNA (cDNA) clone set enriched in hematopoietic genes. One aspect is a library subtraction to enrich for underrepresented transcripts present at early stages of hematopoiesis. For this, a hematopoietic cDNA library from primary murine bone marrow cells enriched for primitive progenitors was used as tester. The subtraction used 10 000 known genes and expressed sequence tags (ESTs) as driver. The 2304 randomly picked clones from the subtracted cDNA libraries represent 1255 distinct genes, of which 622 (50%) are named genes, 386 (30%) match uncharacterized ESTs, and 247 (20%) are novel. The second aspect of our strategy was to complement this subtracted library with genes known to be involved in myeloid cell differentiation and function. The resulting cDNAs were arrayed on polylysine-coated glass slides. The microarrays were used to analyze gene expression in primary and cultured murine bone marrow-derived progenitors. We found expression of various types of genes, including regulatory cytokines and their receptors, signal transduction genes, and transcription factors. To assess gene expression during myeloid differentiation, we examined patterns of change during induced differentiation of EML cells. Several hundred of the genes underwent fluctuations in expression level during myeloid cell differentiation. The complete database, accessible on the World Wide Web at http://yale130132115135.med.yale.edu/, allows for retrieval of information regarding these genes. Our microarray allows for genomewide expression analysis of myeloid stem cells, which will help in defining the regulatory mechanisms of stem cell differentiation."}
{"STANDARD_NAME":"RADMACHER_AML_PROGNOSIS","SYSTEMATIC_NAME":"M7815","ORGANISM":"Homo sapiens","PMID":"16670265","AUTHORS":"Radmacher MD,Marcucci G,Ruppert AS,Mrózek K,Whitman SP,Vardiman JW,Paschka P,Vukosavljevic T,Baldus CD,Kolitz JE,Caligiuri MA,Larson RA,Bloomfield CD,LastName M","GEOID":"GSE425","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"The 'Bullinger validation signature' [PMID=15084693] used to validate prediction of prognostic outcome of acute myeloid leukemia (AML) patients with a normal karyotype.","DESCRIPTION_FULL":"Patients with acute myeloid leukemia (AML) and normal karyotype are classified in an intermediate-risk group, albeit this subset is heterogeneous for clinical outcome. A recent complementary DNA microarray study identified a gene-expression signature that--when used to cluster normal karyotype patients--separated them into 2 prognostically relevant subgroups. We sought the first independent validation of the prognostic value of this signature. Using oligonucleotide microarrays to measure gene expression in samples from uniformly treated adults with karyotypically normal AML, we performed cluster analysis based on the previously identified signature. We also developed a well-defined classification rule using the signature to predict outcome for individual patients. Cluster analysis confirmed the prognostic utility of the signature: patient clusters differed in overall (P = .001) and disease-free (P = .001) survival. The signature-based classifier identified groups with differences in overall (P = .02) and disease-free (P = .05) survival. A strong association of the outcome classifier with the prognostically adverse FLT3 internal tandem duplication (FLT3 ITD) potentially explained the prognostic significance of the signature. However, in the subgroup of patients without FLT3 ITD there was a moderate difference in survival for the classifier-derived groups. Our analysis confirms the applicability of the gene-expression profiling strategy for outcome prediction in cytogenetically normal AML."}
{"STANDARD_NAME":"CROMER_METASTASIS_DN","SYSTEMATIC_NAME":"M8417","ORGANISM":"Homo sapiens","PMID":"14676830","AUTHORS":"Cromer A,Carles A,Millon R,Ganguli G,Chalmel F,Lemaire F,Young J,Dembélé D,Thibault C,Muller D,Poch O,Abecassis J,Wasylyk B","GEOID":"GSE2379","EXACT_SOURCE":"Table 2S","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Metastatic propensity markers of head and neck squamous cell carcinoma (HNSCC): down-regulated in metastatic vs non-metastatic tumors.","DESCRIPTION_FULL":"Head and neck squamous cell carcinoma (HNSCC) is the sixth most common cancer among men in the developed world. There is a need, for both clinical and scientific reasons, to find markers to identify patients with aggressive disease as early as possible, and to understand the events leading to malignant transformation and susceptibility to metastasis. We report the first large-scale gene expression analysis of a unique HNSCC location, the hypopharynx. Four normal and 34 tumour samples were analysed with 12 600 gene microarrays. Clusters of differentially expressed genes were identified in the chromosomal regions 3q27.3, 17q21.2-q21.31, 7q11.22-q22.1 and 11q13.1-q13.3, which, interestingly, have already been identified by comparative genomic hybridization (CGH) as major regions of gene amplification. We showed that six overexpressed genes (EIF4G1, DVL3, EPHB4, MCM7, BRMS1 and SART1) located in these regions are indeed amplified. We report 119 genes that are highly differentially expressed between 'early' tumours and normal samples. Of these, we validated by quantitative PCR six novel poorly characterized genes. These genes are potential new markers of HNSCC. Comparing patients with relatively nonaggressive and aggressive tumours (without or with clinical evidence of metastasis 3 years after surgery), we identified 164 differentially expressed genes potentially involved in the acquisition of metastatic potential. This study contributes to the understanding of HNSCC, staging patients into prognostic groups and identifying high-risk patients who may benefit from more aggressive treatment."}
{"STANDARD_NAME":"NOUZOVA_METHYLATED_IN_APL","SYSTEMATIC_NAME":"M16097","ORGANISM":"Homo sapiens","PMID":"15302897","AUTHORS":"Nouzova M,Holtan N,Oshiro MM,Isett RB,Munoz-Rodriguez JL,List AF,Narro ML,Miller SJ,Merchant NC,Futscher BW","EXACT_SOURCE":"Table 2","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes whose CpG islands are hyper-methylated in the NB4 cell line (APL, acute promyelocytic leukemia) compared to PBMC (normal peripheral peripheral blood mononuclear cells).","DESCRIPTION_FULL":"Dysregulation of epigenetic control is an important participant in carcinogenesis. The PML/RAR alpha translocation in acute promyelocytic leukemia (APL) is an example where the resultant fusion protein recruits histone deacetylase complexes to target genes resulting in their inappropriate transcriptional repression. All-trans-retinoic acid (ATRA) acts as a ligand that relieves this repression and produces an epigenetic transcriptional reprogramming of the cancer cell. CpG island microarrays were used to analyze the DNA methylation and histone acetylation state of the human APL cell line NB4 before and after differentiation with ATRA as well as normal peripheral blood mononuclear cells (PBMC). Over 70 CpG islands within 1 kb of transcription start of a known gene are aberrantly methylated in NB4 cells compared with PBMC; however, no changes in cytosine methylation were detected following ATRA-induced differentiation. With respect to histone H4 acetylation, over 100 single-copy CpG islands within 1 kb of transcription start of a known human gene became hyperacetylated following ATRA-induced differentiation. One CpG island was aberrantly methylated in NB4 cells, but became hyperacetylated and was induced following ATRA treatment and was associated with the HoxA1 gene, suggesting it may be a target gene of ATRA in APL. In addition to single-copy sequences, a selective increase in acetylation was detected in satellite DNA when compared with other high-copy sequences, such as Alu or rDNA. In summary, ATRA stimulates complex epigenomic changes during leukemic cell differentiation, and monitoring these changes may help to identify new targets of epigenetic dysfunction."}
{"STANDARD_NAME":"ZHAN_MULTIPLE_MYELOMA_HP_UP","SYSTEMATIC_NAME":"M13746","ORGANISM":"Homo sapiens","PMID":"16728703","AUTHORS":"Zhan F,Huang Y,Colla S,Stewart JP,Hanamura I,Gupta S,Epstein J,Yaccoby S,Sawyer J,Burington B,Anaissie E,Hollmig K,Pineda-Roman M,Tricot G,van Rhee F,Walker R,Zangari M,Crowley J,Barlogie B,Shaughnessy JD Jr","GEOID":"GSE2658","EXACT_SOURCE":"Table 2S: Subgroup = HP","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top 50 up-regulated genes in cluster HP of multiple myeloma samples characterized by a hyperploid signature.","DESCRIPTION_FULL":"To better define the molecular basis of multiple myeloma (MM), we performed unsupervised hierarchic clustering of mRNA expression profiles in CD138-enriched plasma cells from 414 newly diagnosed patients who went on to receive high-dose therapy and tandem stem cell transplants. Seven disease subtypes were validated that were strongly influenced by known genetic lesions, such as c-MAF- and MAFB-, CCND1- and CCND3-, and MMSET-activating translocations and hyperdiploidy. Indicative of the deregulation of common pathways by gene orthologs, common gene signatures were observed in cases with c-MAF and MAFB activation and CCND1 and CCND3 activation, the latter consisting of 2 subgroups, one characterized by expression of the early B-cell markers CD20 and PAX5. A low incidence of focal bone disease distinguished one and increased expression of proliferation-associated genes of another novel subgroup. Comprising varying fractions of each of the other 6 subgroups, the proliferation subgroup dominated at relapse, suggesting that this signature is linked to disease progression. Proliferation and MMSET-spike groups were characterized by significant overexpression of genes mapping to chromosome 1q, and both exhibited a poor prognosis relative to the other groups. A subset of cases with a predominating myeloid gene expression signature, excluded from the profiling analyses, had more favorable baseline characteristics and superior prognosis to those lacking this signature."}
{"STANDARD_NAME":"XU_RESPONSE_TO_TRETINOIN_DN","SYSTEMATIC_NAME":"M12964","ORGANISM":"Homo sapiens","PMID":"16140955","AUTHORS":"Xu K,Guidez F,Glasow A,Chung D,Petrie K,Stegmaier K,Wang KK,Zhang J,Jing Y,Zelent A,Waxman S","EXACT_SOURCE":"Table 2C","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in NB4 cells (acute promyelocytic leukemia, APL) by tretinoin [PubChem=444795] alone.","DESCRIPTION_FULL":"Differentiation induction is an effective therapy for acute promyelocytic leukemia (APL), which dramatically responds to all-trans-retinoic acid (ATRA). Recent studies have indicated that combinatorial use of retinoid and nonretinoid compounds, such as histone deacetylase inhibitors, arsenics, and PKA agonists, has higher therapeutic value in this disease and potentially in other malignancies. In a screen of 370 compounds, we identified benzodithiophene analogues as potent enhancers of ATRA-induced APL cell differentiation. These effects were not associated with changes in global histone acetylation and, for the most potent compounds, were exerted at very low nanomolar concentrations, and were paralleled by enhancement of some, but not all, ATRA-modulated gene expressions. Investigating the mechanism underlying the effects of these drugs on ATRA-induced APL cell differentiation, we have shown that benzodithiophenes enhance ATRA-mediated dissociation and association of corepressor N-CoR and coactivator p300 acetyltransferase, respectively, with retinoic acid receptor (RAR) alpha proteins. These data suggest that benzodithiophenes act at the level of receptor activation, possibly by affecting posttranslational modification of the receptor (and/or coregulators), thus leading to an enhancement in ATRA-mediated effects on gene expression and APL cell differentiation. Given the specificities of these low benzodithiophene concentrations for PML-RARalpha and RARalpha, these drugs may be useful for combinatorial differentiation therapy of APL and possibly other acute myelogenous leukemia subtypes in which the overall ATRA signaling is suppressed."}
{"STANDARD_NAME":"TAVOR_CEBPA_TARGETS_UP","SYSTEMATIC_NAME":"M9709","ORGANISM":"Homo sapiens","PMID":"14517214","AUTHORS":"Tavor S,Park DJ,Gery S,Vuong PT,Gombart AF,Koeffler HP","EXACT_SOURCE":"Table 1","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in KCL22 cells (chronic myelogenous leukemia, CML, with BCR-ABL1 [GeneID=613;25] fusion) by expression of CEBPA [GeneID=1050].","DESCRIPTION_FULL":"The transcription factor C/EBPalpha plays a critical role in the process of granulocytic differentiation. Recently, mutations that abrogated transcriptional activation of C/EBPalpha were detected in acute myeloid leukemia patient samples. Moreover, the progression of chronic myelogenous leukemia (CML) to blast crisis in patients was correlated with down-modulation of C/EBPalpha. The KCL22 cell line, derived from BCR-ABL+ CML in blast crisis, expressed wild-type C/EBPepsilon protein but not a functional C/EBPalpha, -beta, and -gamma. Restoration of C/EBPalpha expression in KCL22 cells triggered a profound proliferative arrest, a block in the G2/M phase of the cell cycle and a gradual increase in apoptosis. Within 3 days of inducing expression of C/EBPalpha, a remarkable neutrophilic differentiation of the KCL22 blast cells occurred as shown by morphologic changes, induction of expression of CD11b, primary, secondary, and tertiary granule proteins, and granulocyte colony-stimulating factor receptor. Using high density oligonucleotide microarrays, the gene expression profile of KCL22 cells stably transfected with C/EBPalpha was compared with that of empty vector, and we identified genes not previously known to be regulated by C/EBPalpha. These included the up-regulation of those genes important for regulation of hematopoietic stem cell homing, granulocytic differentiation, and cell cycle, whereas down-regulation occurred for genes coding for signaling molecules and transcription factors that are implicated in regulation of proliferation and differentiation of hematopoietic cells. Our study showed that restoration of C/EBPalpha expression in BCR-ABL+ leukemic cells in blast crisis is sufficient for rapid neutrophil differentiation suggesting a potential therapeutic role for ectopic transfer of C/EBPalpha in acute phase of CML."}
{"STANDARD_NAME":"YAGI_AML_SURVIVAL","SYSTEMATIC_NAME":"M18887","ORGANISM":"Homo sapiens","PMID":"12738660","AUTHORS":"Yagi T,Morimoto A,Eguchi M,Hibi S,Sako M,Ishii E,Mizutani S,Imashuku S,Ohki M,Ichikawa H","GEOID":"GSE2191","EXACT_SOURCE":"Table 2S","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes differentially expressed in pediatric AML (acute myeloid leukemia) samples from patients with good survival (>3 years without relapse) compared to those with poor survival (relapsed within one year after treatment).","DESCRIPTION_FULL":"Most patients with acute myeloid leukemia (AML) enter complete remission (CR) after treatment with chemotherapy, but a large number of them experience relapse with resistant disease. To identify genes that are associated with their prognoses, we analyzed gene expression in 54 pediatric patients with AML using an oligonucleotide microarray that contained 12 566 probe sets. A supervised approach using the Student t test selected a prognostic set of 35 genes, some of which are associated with the regulation of cell cycle and apoptosis. Most of these genes had not previously been reported to be associated with prognosis and were not correlated with morphologically classified French-American-British (FAB) subtypes or with karyotypes. These results indicate the existence of prognosis-associated genes that are independent of cell lineage and cytogenetic abnormalities, and they can provide therapeutic direction for individual risk-adapted therapy for pediatric AML patients."}
{"STANDARD_NAME":"XU_CREBBP_TARGETS_UP","SYSTEMATIC_NAME":"M17669","ORGANISM":"Mus musculus","PMID":"16424387","AUTHORS":"Xu W,Fukuyama T,Ney PA,Wang D,Rehg J,Boyd K,van Deursen JM,Brindle PK","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in pro-B lymphocytes after knockout of CREBBP [GeneID=1387].","DESCRIPTION_FULL":"CREB-binding protein (CBP) and its para-log p300 are transcriptional coactivators that physically or functionally interact with over 320 mammalian and viral proteins, including 36 that are essential for B cells in mice. CBP and p300 are generally considered limiting for transcription, yet their roles in adult cell lineages are largely unknown since homozygous null mutations in either gene or compound heterozygosity cause early embryonic lethality in mice. We tested the hypotheses that CBP and p300 are limiting and that each has unique properties in B cells, by using mice with Cre/LoxP conditional knockout alleles for CBP (CBP(flox)) and p300 (p300(flox)), which carry CD19(Cre) that initiates floxed gene recombination at the pro-B-cell stage. CD19(Cre)-mediated loss of CBP or p300 led to surprisingly modest deficits in B-cell numbers, whereas inactivation of both genes was not tolerated by peripheral B cells. There was a moderate decrease in B-cell receptor (BCR)-responsive gene expression in CBP or p300 homozygous null B cells, suggesting that CBP and p300 are essential for this signaling pathway that is crucial for B-cell homeostasis. These results indicate that individually CBP and p300 are partially limiting beyond the pro-B-cell stage and that other coactivators in B cells cannot replace their combined loss."}
{"STANDARD_NAME":"VERHAAK_AML_WITH_NPM1_MUTATED_DN","SYSTEMATIC_NAME":"M10117","ORGANISM":"Homo sapiens","PMID":"16109776","AUTHORS":"Verhaak RG,Goudswaard CS,Putten van W,Bijl MA,Sanders MA,Hugens W,Uitterlinden AG,Erpelinck CA,Delwel R,Löwenberg B,Valk PJ","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in acute myeloid leukemia (AML) patients with mutated NPM1 [GeneID=4869].","DESCRIPTION_FULL":"Mutations in nucleophosmin NPM1 are the most frequent acquired molecular abnormalities in acute myeloid leukemia (AML). We determined the NPM1 mutation status in a clinically and molecularly well-characterized patient cohort of 275 patients with newly diagnosed AML by denaturing high-performance liquid chromatography (dHPLC). We show that NPM1 mutations are significantly underrepresented in patients younger than 35 years. NPM1 mutations positively correlate with AML with high white blood cell counts, normal karyotypes, and fms-like tyrosine kinase-3 gene (FLT3) internal tandem duplication (ITD) mutations. NPM1 mutations associate inversely with the occurrence of CCAAT/enhancer-binding protein-alpha (CEBPA) and NRAS mutations. With respect to gene expression profiling, we show that AML cases with an NPM1 mutation cluster in specific subtypes of AML with previously established gene expression signatures, are highly associated with a homeobox gene-specific expression signature, and can be predicted with high accuracy. We demonstrate that patients with intermediate cytogenetic risk AML without FLT3 ITD mutations but with NPM1 mutations have a significantly better overall survival (OS) and event-free survival (EFS) than those without NPM1 mutations. Finally, in multivariable analysis NPM1 mutations express independent favorable prognostic value with regard to OS, EFS, and disease-free survival (DFS)."}
{"STANDARD_NAME":"RORIE_TARGETS_OF_EWSR1_FLI1_FUSION_DN","SYSTEMATIC_NAME":"M15762","ORGANISM":"Homo sapiens","PMID":"14973077","AUTHORS":"Rorie CJ,Thomas VD,Chen P,Pierce HH,O'Bryan JP,Weissman BE","EXACT_SOURCE":"Table 4","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neuroblastoma markers down-regulated in neuroblastoma cell lines expressing ESWR1-FLI1 [GeneID=2130;2313] fusion protein.","DESCRIPTION_FULL":"Neuroblastoma (NB) and the Ewing sarcoma (ES)/peripheral primitive neuroectodermal tumor (PNET) family are pediatric cancers derived from neural crest cells. Although NBs display features of the sympathetic nervous system, ES/PNETs express markers consistent with parasympathetic differentiation. To examine the control of these differentiation markers, we generated NB x ES/PNET somatic cell hybrids. NB-specific markers were suppressed in the hybrids, whereas ES/PNET-specific markers were unaffected. These results suggested that the Ews/Fli-1 fusion gene, resulting from a translocation unique to ES/PNETs, might account for the loss of NB-specific markers. To test this hypothesis, we generated two different NB cell lines that stably expressed the Ews/Fli-1 gene. We observed that heterologous expression of the Ews/Fli-1 protein led to the suppression of NB-specific markers and de novo expression of ES/PNET markers. To determine the extent of changes in differentiation, we used the Affymetrix GeneChip Array system to observe global transcriptional changes of genes. This analysis revealed that the gene expression pattern of the Ews/Fli-1-expressing NB cells resembled that observed in pooled ES/PNET cell lines and differed significantly from the NB parental cells. Therefore, we propose that Ews/Fli-1 contributes to the etiology of ES/PNET by subverting the differentiation program of its neural crest precursor cell to a less differentiated and more proliferative state."}
{"STANDARD_NAME":"APPEL_IMATINIB_RESPONSE","SYSTEMATIC_NAME":"M5319","ORGANISM":"Homo sapiens","PMID":"15756019","AUTHORS":"Appel S,Rupf A,Weck MM,Schoor O,Brümmendorf TH,Weinschenk T,Grünebach F,Brossart P","EXACT_SOURCE":"Table 3","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated by imatinib [PubChem=5291] during dendritic cell differentiation.","DESCRIPTION_FULL":"Dendritic cells are the most powerful antigen-presenting cells playing a decisive role for the initiation and maintenance of primary immune responses. However, signaling pathways involved in the differentiation of these cells have not been fully determined. Imatinib is a novel tyrosine kinase inhibitor effective against Abl kinases, c-Kit, and platelet-derived growth factor receptor. Using this compound, we show that human monocyte-derived dendritic cells generated in the presence of therapeutic concentrations of imatinib show a reduced expression of CD1a, MHC class I and II, and costimulatory molecules as well as decreased secretion of chemokines and cytokines resulting in an impaired capacity of dendritic cells to elicit primary T-cell responses. Using Western blot analyses, we found that these effects are mediated by inhibition of phosphatidylinositol 3-kinase/Akt pathways and a pronounced down-regulation of nuclear localized protein levels of nuclear factor-kappaB family members. Importantly, using blocking antibodies and tyrosine kinase inhibitors, we show that the inhibitory effects of imatinib on dendritic cell differentiation are not mediated via platelet-derived growth factor receptor and c-Kit. Taken together, our study reveals that imatinib inhibits dendritic cell differentiation and function via Akt and nuclear factor-kappaB signal transduction. Importantly, we show that imatinib can inhibit the function of normal, nonmalignant cells that may result in immunosuppression of these patients."}
{"STANDARD_NAME":"YAGI_AML_FAB_MARKERS","SYSTEMATIC_NAME":"M5103","ORGANISM":"Homo sapiens","PMID":"12738660","AUTHORS":"Yagi T,Morimoto A,Eguchi M,Hibi S,Sako M,Ishii E,Mizutani S,Imashuku S,Ohki M,Ichikawa H","GEOID":"GSE2191","EXACT_SOURCE":"Table 3S","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes specifically expressed in FAB subtypes M2, M4, M5 and M7 of pediatric AML (acute myeloid leukemia).","DESCRIPTION_FULL":"Most patients with acute myeloid leukemia (AML) enter complete remission (CR) after treatment with chemotherapy, but a large number of them experience relapse with resistant disease. To identify genes that are associated with their prognoses, we analyzed gene expression in 54 pediatric patients with AML using an oligonucleotide microarray that contained 12 566 probe sets. A supervised approach using the Student t test selected a prognostic set of 35 genes, some of which are associated with the regulation of cell cycle and apoptosis. Most of these genes had not previously been reported to be associated with prognosis and were not correlated with morphologically classified French-American-British (FAB) subtypes or with karyotypes. These results indicate the existence of prognosis-associated genes that are independent of cell lineage and cytogenetic abnormalities, and they can provide therapeutic direction for individual risk-adapted therapy for pediatric AML patients."}
{"STANDARD_NAME":"ZHAN_MULTIPLE_MYELOMA_CD1_VS_CD2_DN","SYSTEMATIC_NAME":"M7602","ORGANISM":"Homo sapiens","PMID":"16728703","AUTHORS":"Zhan F,Huang Y,Colla S,Stewart JP,Hanamura I,Gupta S,Epstein J,Yaccoby S,Sawyer J,Burington B,Anaissie E,Hollmig K,Pineda-Roman M,Tricot G,van Rhee F,Walker R,Zangari M,Crowley J,Barlogie B,Shaughnessy JD Jr","GEOID":"GSE2658","EXACT_SOURCE":"Table 6S: SAM Score < 0","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in CD-1 compared to CD-2 cluster of multiple myeloma samples.","DESCRIPTION_FULL":"To better define the molecular basis of multiple myeloma (MM), we performed unsupervised hierarchic clustering of mRNA expression profiles in CD138-enriched plasma cells from 414 newly diagnosed patients who went on to receive high-dose therapy and tandem stem cell transplants. Seven disease subtypes were validated that were strongly influenced by known genetic lesions, such as c-MAF- and MAFB-, CCND1- and CCND3-, and MMSET-activating translocations and hyperdiploidy. Indicative of the deregulation of common pathways by gene orthologs, common gene signatures were observed in cases with c-MAF and MAFB activation and CCND1 and CCND3 activation, the latter consisting of 2 subgroups, one characterized by expression of the early B-cell markers CD20 and PAX5. A low incidence of focal bone disease distinguished one and increased expression of proliferation-associated genes of another novel subgroup. Comprising varying fractions of each of the other 6 subgroups, the proliferation subgroup dominated at relapse, suggesting that this signature is linked to disease progression. Proliferation and MMSET-spike groups were characterized by significant overexpression of genes mapping to chromosome 1q, and both exhibited a poor prognosis relative to the other groups. A subset of cases with a predominating myeloid gene expression signature, excluded from the profiling analyses, had more favorable baseline characteristics and superior prognosis to those lacking this signature."}
{"STANDARD_NAME":"ABBUD_LIF_SIGNALING_2_DN","SYSTEMATIC_NAME":"M1481","ORGANISM":"Rattus norvegicus","PMID":"14576184","AUTHORS":"Abbud RA,Kelleher R,Melmed S","EXACT_SOURCE":"Table 4","CHIP":"RAT_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in GH3 cells (pituitary cancer) after treatment with LIF [GeneID=3976].","DESCRIPTION_FULL":"Leukemia inhibitory factor (LIF) mediates the hypothalamo-pituitary-adrenal stress response. Transgenic mice overexpressing LIF in the developing pituitary have altered pituitary differentiation with expansion of corticotropes, maintenance of Rathke's cleft cysts, and suppression of all other pituitary cell types. Affymetrix GeneChips were used to identify modulators of LIF effects in corticotrope (AtT-20) and somatolactotrope (GH(3)) cells. In addition to genes known to respond to LIF in corticotrope cells [e.g. suppressor of cytokine signaling-3 (SOCS-3), signal transducer and activator of transcription-3, SH2 domain-containing tyrosine phosphatase-1, and proopiomelanocortin (POMC)], corticotrope-specific changes were also observed for genes involved in glycolysis and gluconeogenesis, transcription factors, signaling molecules, and expressed sequence tags. Two transcription factors identified, CCAAT/enhancer-binding protein beta (C/EBPbeta) and glial cell-derived neurotrophic factor (GDNF)-inducible factor (GIF), dose-dependently induced expression of the rat POMC promoter when overexpressed in AtT-20 cells. LIF further induced POMC transcription with C/EBPbeta, but not with GIF. C/EBPbeta also induced expression of the SOCS-3 promoter that was further enhanced by cotreatment with LIF. However, GIF did not affect SOCS-3 expression. These results indicate that C/EBPbeta and GIF are downstream effectors of LIF corticotrope action. LIF also stimulates the expression of inhibitors of its actions, such as SOCS-3 and SH2 domain-containing tyrosine phosphatase-1. alpha(2)-HS-glycoprotein (AHSG)/fetuin, a secreted protein that antagonizes bone TGFbeta/bone morphogenic protein signaling, was induced by LIF in a signal transducer and activator of transcription-3-dependent fashion. Pretreatment with AHSG/fetuin blocked LIF-induced expression of the POMC promoter independently of SOCS-3. Thus, using GeneChips, C/EBPbeta and GIF have been identified as novel mediators and AHSG/fetuin as an inhibitor of LIF action in corticotropes."}
{"STANDARD_NAME":"XU_CREBBP_TARGETS_DN","SYSTEMATIC_NAME":"M4357","ORGANISM":"Mus musculus","PMID":"16424387","AUTHORS":"Xu W,Fukuyama T,Ney PA,Wang D,Rehg J,Boyd K,van Deursen JM,Brindle PK","EXACT_SOURCE":"Table 2","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in pro-B lymphocytes after knockout of CREBBP [GeneID=1387].","DESCRIPTION_FULL":"CREB-binding protein (CBP) and its para-log p300 are transcriptional coactivators that physically or functionally interact with over 320 mammalian and viral proteins, including 36 that are essential for B cells in mice. CBP and p300 are generally considered limiting for transcription, yet their roles in adult cell lineages are largely unknown since homozygous null mutations in either gene or compound heterozygosity cause early embryonic lethality in mice. We tested the hypotheses that CBP and p300 are limiting and that each has unique properties in B cells, by using mice with Cre/LoxP conditional knockout alleles for CBP (CBP(flox)) and p300 (p300(flox)), which carry CD19(Cre) that initiates floxed gene recombination at the pro-B-cell stage. CD19(Cre)-mediated loss of CBP or p300 led to surprisingly modest deficits in B-cell numbers, whereas inactivation of both genes was not tolerated by peripheral B cells. There was a moderate decrease in B-cell receptor (BCR)-responsive gene expression in CBP or p300 homozygous null B cells, suggesting that CBP and p300 are essential for this signaling pathway that is crucial for B-cell homeostasis. These results indicate that individually CBP and p300 are partially limiting beyond the pro-B-cell stage and that other coactivators in B cells cannot replace their combined loss."}
{"STANDARD_NAME":"IGLESIAS_E2F_TARGETS_DN","SYSTEMATIC_NAME":"M1482","ORGANISM":"Mus musculus","PMID":"15146237","AUTHORS":"Iglesias A,Murga M,Laresgoiti U,Skoudy A,Bernales I,Fullaondo A,Moreno B,Lloreta J,Field SJ,Real FX,Zubiaga AM","EXACT_SOURCE":"Table 2S","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in pancreatic cells from mice with double knockout of E2F1 [GeneID=1869] and E2F2 [GeneID=1870] compared to wild type.","DESCRIPTION_FULL":"E2F transcription factors are thought to be key regulators of cell growth control. Here we use mutant mouse strains to investigate the function of E2F1 and E2F2 in vivo. E2F1/E2F2 compound-mutant mice develop nonautoimmune insulin-deficient diabetes and exocrine pancreatic dysfunction characterized by endocrine and exocrine cell dysplasia, a reduction in the number and size of acini and islets, and their replacement by ductal structures and adipose tissue. Mutant pancreatic cells exhibit increased rates of DNA replication but also of apoptosis, resulting in severe pancreatic atrophy. The expression of genes involved in DNA replication and cell cycle control was upregulated in the E2F1/E2F2 compound-mutant pancreas, suggesting that their expression is repressed by E2F1/E2F2 activities and that the inappropriate cell cycle found in the mutant pancreas is likely the result of the deregulated expression of these genes. Interestingly, the expression of ductal cell and adipocyte differentiation marker genes was also upregulated, whereas expression of pancreatic cell marker genes were downregulated. These results suggest that E2F1/E2F2 activity negatively controls growth of mature pancreatic cells and is necessary for the maintenance of differentiated pancreatic phenotypes in the adult."}
{"STANDARD_NAME":"HOEGERKORP_CD44_TARGETS_TEMPORAL_UP","SYSTEMATIC_NAME":"M8139","ORGANISM":"Homo sapiens","PMID":"12411303","AUTHORS":"Högerkorp CM,Bilke S,Breslin T,Ingvarsson S,Borrebaeck CA","EXACT_SOURCE":"Table 3","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes temporally up-regulated by CD44 [GeneID=960] stimulation of B lymphocytes.","DESCRIPTION_FULL":"A number of studies have implicated a role for the cell surface glycoprotein CD44 in several biologic events, such as lymphopoiesis, homing, lymphocyte activation, and apoptosis. We have earlier reported that signaling via CD44 on naive B cells in addition to B-cell receptor (BCR) and CD40 engagement generated a germinal center-like phenotype. To further characterize the global role of CD44 in B differentiation, we examined the expression profile of human B cells cultured in vitro in the presence or absence of CD44 ligation, together with anti-immunoglobulin (anti-Ig) and anti-CD40 antibodies. The data sets derived from DNA microarrays were analyzed using a novel statistical analysis scheme created to retrieve the most likely expression pattern of CD44 ligation. Our results show that genes such as interleukin-6 (IL-6), IL-1alpha, and beta(2)-adrenergic receptor (beta(2)-AR) were specifically up-regulated by CD44 ligation, suggesting a novel role for CD44 in immunoregulation and inflammation."}
{"STANDARD_NAME":"HOEGERKORP_CD44_TARGETS_TEMPORAL_DN","SYSTEMATIC_NAME":"M11025","ORGANISM":"Homo sapiens","PMID":"12411303","AUTHORS":"Högerkorp CM,Bilke S,Breslin T,Ingvarsson S,Borrebaeck CA","EXACT_SOURCE":"Table 4","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes temporally down-regulated by CD44 [GeneID=960] stimulation of B lymphocytes.","DESCRIPTION_FULL":"A number of studies have implicated a role for the cell surface glycoprotein CD44 in several biologic events, such as lymphopoiesis, homing, lymphocyte activation, and apoptosis. We have earlier reported that signaling via CD44 on naive B cells in addition to B-cell receptor (BCR) and CD40 engagement generated a germinal center-like phenotype. To further characterize the global role of CD44 in B differentiation, we examined the expression profile of human B cells cultured in vitro in the presence or absence of CD44 ligation, together with anti-immunoglobulin (anti-Ig) and anti-CD40 antibodies. The data sets derived from DNA microarrays were analyzed using a novel statistical analysis scheme created to retrieve the most likely expression pattern of CD44 ligation. Our results show that genes such as interleukin-6 (IL-6), IL-1alpha, and beta(2)-adrenergic receptor (beta(2)-AR) were specifically up-regulated by CD44 ligation, suggesting a novel role for CD44 in immunoregulation and inflammation."}
{"STANDARD_NAME":"MUNSHI_MULTIPLE_MYELOMA_UP","SYSTEMATIC_NAME":"M4517","ORGANISM":"Homo sapiens","PMID":"12969976","AUTHORS":"Munshi NC,Hideshima T,Carrasco D,Shammas M,Auclair D,Davies F,Mitsiades N,Mitsiades C,Kim RS,Li C,Rajkumar SV,Fonseca R,Bergsagel L,Chauhan D,Anderson KC","EXACT_SOURCE":"Table 1","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in multiple myeloma (MM) compared to normal plasma cells from the patient's identical twin.","DESCRIPTION_FULL":"Genetic heterogeneity between individuals confounds the comparison of gene profiling of multiple myeloma (MM) cells versus normal plasma cells (PCs). To overcome this barrier, we compared the gene expression profile of CD138+ MM cells from a patient bone marrow (BM) sample with CD138+ PCs from a genetically identical twin BM sample using microarray profiling. Two hundred and ninety-six genes were up-regulated and 103 genes were down-regulated at least 2-fold in MM cells versus normal twin PCs. Highly expressed genes in MM cells included cell survival pathway genes such as mcl-1, dad-1, caspase 8, and FADD-like apoptosis regulator (FLIP); oncogenes/transcriptional factors such as Jun-D, Xbp-1, calmodulin, Calnexin, and FGFR-3; stress response and ubiquitin/proteasome pathway-related genes and various ribosomal genes reflecting increased metabolic and translational activity. Genes that were down-regulated in MM cells versus healthy twin PCs included RAD51, killer cell immunoglobulin-like receptor protein, and apoptotic protease activating factor. Microarray results were further confirmed by Western blot analyses, immunohistochemistry, fluorescent in situ hybridization (FISH), and functional assays of telomerase activity and bone marrow angiogenesis. This molecular profiling provides potential insights into mechanisms of malignant transformation in MM. For example, FGFR3, xbp-1, and both mcl-1 and dad-1 may mediate transformation, differentiation, and survival, respectively, and may have clinical implications. By identifying genes uniquely altered in MM cells compared with normal PCs in an identical genotypic background, the current study provides the framework to identify novel therapeutic targets."}
{"STANDARD_NAME":"ZHAN_MULTIPLE_MYELOMA_DN","SYSTEMATIC_NAME":"M2523","ORGANISM":"Homo sapiens","PMID":"11861292","AUTHORS":"Zhan F,Hardin J,Kordsmeier B,Bumm K,Zheng M,Tian E,Sanderson R,Yang Y,Wilson C,Zangari M,Anaissie E,Morris C,Muwalla F,van Rhee F,Fassas A,Crowley J,Tricot G,Barlogie B,Shaughnessy J Jr","EXACT_SOURCE":"Table 4","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes most significantly down-regulated in multiple myeloma samples, compared to normal bone marrow plasma cells.","DESCRIPTION_FULL":"Bone marrow plasma cells (PCs) from 74 patients with newly diagnosed multiple myeloma (MM), 5 with monoclonal gammopathy of undetermined significance (MGUS), and 31 healthy volunteers (normal PCs) were purified by CD138(+) selection. Gene expression of purified PCs and 7 MM cell lines were profiled using high-density oligonucleotide microarrays interrogating about 6800 genes. On hierarchical clustering analysis, normal and MM PCs were differentiated and 4 distinct subgroups of MM (MM1, MM2, MM3, and MM4) were identified. The expression pattern of MM1 was similar to normal PCs and MGUS, whereas MM4 was similar to MM cell lines. Clinical parameters linked to poor prognosis, abnormal karyotype (P =.002) and high serum beta(2)-microglobulin levels (P =.0005), were most prevalent in MM4. Also, genes involved in DNA metabolism and cell cycle control were overexpressed in a comparison of MM1 and MM4. In addition, using chi(2) and Wilcoxon rank sum tests, 120 novel candidate disease genes were identified that discriminate normal and malignant PCs (P <.0001); many are involved in adhesion, apoptosis, cell cycle, drug resistance, growth arrest, oncogenesis, signaling, and transcription. A total of 156 genes, including FGFR3 and CCND1, exhibited highly elevated (spiked) expression in at least 4 of the 74 MM cases (range, 4-25 spikes). Elevated expression of these 2 genes was caused by the translocation t(4;14)(p16;q32) or t(11;14)(q13;q32). Thus, novel candidate MM disease genes have been identified using gene expression profiling and this profiling has led to the development of a gene-based classification system for MM."}
{"STANDARD_NAME":"HASLINGER_B_CLL_WITH_6Q21_DELETION","SYSTEMATIC_NAME":"M7362","ORGANISM":"Homo sapiens","PMID":"15459216","AUTHORS":"Haslinger C,Schweifer N,Stilgenbauer S,Döhner H,Lichter P,Kraut N,Stratowa C,Abseher R","GEOID":"GSE2466","EXACT_SOURCE":"Table 3: 6q21","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes changed in the B cell chronic lymphocytic leukemia (B-CLL) with deletions in the 6q21 region.","DESCRIPTION_FULL":"PURPOSE: Genomic aberrations and mutational status of the immunoglobulin variable heavy chain (VH) gene have been shown to be among the most important predictors for outcome in patients with B-cell chronic lymphocytic leukemia (B-CLL). In this study, we report on differential gene expression patterns that are characteristic for genetically defined B-CLL subtypes. MATERIALS AND METHODS: One hundred genetically well-characterized B-CLL samples, together with 11 healthy control samples, were analyzed using oligonucleotide arrays, which test for the expression of some 12,000 human genes. RESULTS: Aiming at microarray-based subclassification, class predictors were constructed using sets of differentially expressed genes, which yielded in zero or low misclassification rates. Furthermore, a significant number of the differentially expressed genes clustered in chromosomal regions affected by the respective genomic losses/gains. Deletions affecting chromosome bands 11q22-q23 and 17p13 led to a reduced expression of the corresponding genes, such as ATM and p53, while trisomy 12 resulted in the upregulation of genes mapping to chromosome arm 12q. Using an unsupervised analysis algorithm, expression profiling allowed partitioning into predominantly VH-mutated versus unmutated patient groups; however, association of the expression profile with the VH mutational status could only be detected in male patients. CONCLUSION: The finding that the most significantly differentially expressed genes are located in the corresponding aberrant chromosomal regions indicates that a gene dosage effect may exert a pathogenic role in B-CLL. The significant difference in the partitioning of male and female B-CLL samples suggests that the genomic signature for the VH mutational status might be sex-related."}
{"STANDARD_NAME":"HANSON_HRAS_SIGNALING_VIA_NFKB","SYSTEMATIC_NAME":"M1488","ORGANISM":"Mus musculus","PMID":"15492243","AUTHORS":"Hanson JL,Hawke NA,Kashatus D,Baldwin AS","EXACT_SOURCE":"Table 1","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes changed by expression of activated form of HRas[GeneID=3265] in MEF cells (embryonic fibroblast) with or without p65/c-Rel complex [GeneID=5970;5966].","DESCRIPTION_FULL":"Extensive data indicate that oncoproteins, such as oncogenic H-Ras, initiate signal transduction cascades that ultimately lead to the activation of specific transcription factors. We and others have previously demonstrated that Ras activates the inherent transcriptional activation function of the transcription factor nuclear factor kappaB (NF-kappaB). Supportive of the importance of NF-kappaB in transformation, Ras-induced cellular transformation can be suppressed by expression of IkappaBalpha, an inhibitor of NF-kappaB, or by dominant-negative forms of the upstream activator IkappaB kinase (IKK). However, conclusive evidence for a requirement for NF-kappaB subunits in oncogenic transformation has not been reported. Furthermore, there is little understanding of the gene targets controlled by NF-kappaB that might support oncogenic conversion. The data presented here demonstrate that, although both p65 and c-Rel enhance the frequency of Ras-induced cellular transformation, these NF-kappaB subunits are not essential for Ras to transform spontaneously immortalized murine fibroblasts. Microarray analysis identified a set of genes induced by Ras that is dependent on NF-kappaB for their expression and that likely play contributory roles in promoting Ras-induced oncogenic transformation."}
{"STANDARD_NAME":"FAELT_B_CLL_WITH_VH3_21_DN","SYSTEMATIC_NAME":"M7218","ORGANISM":"Homo sapiens","PMID":"15817677","AUTHORS":"Fält S,Merup M,Tobin G,Thunberg U,Gahrton G,Rosenquist R,Wennborg A","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in samples from B-CLL (B-cell chronic lymphocytic leukemia) with the immunoglobulin heavy chain VH3-21 gene.","DESCRIPTION_FULL":"The usage of the immunoglobulin (Ig) V(H)3-21 gene is associated with poor prognosis in B-cell chronic lymphocytic leukemia (B-CLL) despite V(H) gene mutation status. Many V(H)3-21+ patients also display restricted heavy- and light-chain Ig gene rearrangements, implying a role of antigen selection in disease development. To explore the specific phenotypic/genotypic features among V(H)3-21+ B-CLLs, we compared gene expression patterns in 15 V(H)3-21+ and 24 non-V(H)3-21 patients (11 with unmutated and 13 with mutated V(H) genes) using Affymetrix microarray analysis (approximately 12,500 genes). A distinct expression profile was identified for V(H)3-21+ patients in contrast to the Ig-unmutated and -mutated groups. By applying different algorithms, the data enabled an efficient class discrimination of the V(H)3-21+ subset based on 27 or 57 genes. A set of genes was sorted out which, using different analytical methods, consistently gave a distinction between V(H)3-21+ and non-V(H)3-21 samples. Several of these genes are involved in regulation of DNA replication/cell-cycle control, transcription and protein kinase activity, which may render the V(H)3-21+ cells with a higher proliferative drive. However, no clear evidence of increased B-cell receptor signaling was found in the V(H)3-21+ group. Altogether, our identification of a specific V(H)3-21 profile may provide insights into the pathogenesis of the V(H)3-21+ subgroup."}
{"STANDARD_NAME":"NOUZOVA_TRETINOIN_AND_H4_ACETYLATION","SYSTEMATIC_NAME":"M15068","ORGANISM":"Homo sapiens","PMID":"15302897","AUTHORS":"Nouzova M,Holtan N,Oshiro MM,Isett RB,Munoz-Rodriguez JL,List AF,Narro ML,Miller SJ,Merchant NC,Futscher BW","EXACT_SOURCE":"Table 3","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes whose CpG islands showed greatly increased histone H4 acetylation in NB4 cells (acute promyelocytic leukemia, APL) upon treatment with tretinoin [PubChem=444795].","DESCRIPTION_FULL":"Dysregulation of epigenetic control is an important participant in carcinogenesis. The PML/RAR alpha translocation in acute promyelocytic leukemia (APL) is an example where the resultant fusion protein recruits histone deacetylase complexes to target genes resulting in their inappropriate transcriptional repression. All-trans-retinoic acid (ATRA) acts as a ligand that relieves this repression and produces an epigenetic transcriptional reprogramming of the cancer cell. CpG island microarrays were used to analyze the DNA methylation and histone acetylation state of the human APL cell line NB4 before and after differentiation with ATRA as well as normal peripheral blood mononuclear cells (PBMC). Over 70 CpG islands within 1 kb of transcription start of a known gene are aberrantly methylated in NB4 cells compared with PBMC; however, no changes in cytosine methylation were detected following ATRA-induced differentiation. With respect to histone H4 acetylation, over 100 single-copy CpG islands within 1 kb of transcription start of a known human gene became hyperacetylated following ATRA-induced differentiation. One CpG island was aberrantly methylated in NB4 cells, but became hyperacetylated and was induced following ATRA treatment and was associated with the HoxA1 gene, suggesting it may be a target gene of ATRA in APL. In addition to single-copy sequences, a selective increase in acetylation was detected in satellite DNA when compared with other high-copy sequences, such as Alu or rDNA. In summary, ATRA stimulates complex epigenomic changes during leukemic cell differentiation, and monitoring these changes may help to identify new targets of epigenetic dysfunction."}
{"STANDARD_NAME":"BRUNO_HEMATOPOIESIS","SYSTEMATIC_NAME":"M1492","ORGANISM":"Mus musculus","PMID":"14701746","AUTHORS":"Bruno L,Hoffmann R,McBlane F,Brown J,Gupta R,Joshi C,Pearson S,Seidl T,Heyworth C,Enver T","EXACT_SOURCE":"Table 2","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes that are rapidly down-regulated as multipotential cells of the FDCP-mix hematopoiesis model undergo differentiation and loose their self-renewal and proliferation properties.","DESCRIPTION_FULL":"The molecular mechanisms governing self-renewal, differentiation, and lineage specification remain unknown. Transcriptional profiling is likely to provide insight into these processes but, as yet, has been confined to static molecular profiles of stem and progenitors cells. We now provide a comprehensive, statistically robust, and dynamic analysis of multipotent hemopoietic progenitor cells undergoing self-renewal in response to interleukin-3 (IL-3) and multilineage differentiation in response to lineage-affiliated cytokines. Cells undergoing IL-3-dependent proliferative self-renewal displayed striking complexity, including expression of genes associated with different lineage programs, suggesting a highly responsive compartment poised to rapidly execute intrinsically or extrinsically initiated cell fate decisions. A remarkable general feature of early differentiation was a resolution of complexity through the downregulation of gene expression. Although effector genes characteristic of mature cells were upregulated late, coincident with morphological changes, lineage-specific changes in gene expression were observed prior to this, identifying genes which may provide early harbingers of unilineage commitment. Of particular interest were genes that displayed differential behavior irrespective of the lineage elaborated, many of which were rapidly downregulated within 4 to 8 h after exposure to a differentiation cue. These are likely to include genes important in self-renewal, the maintenance of multipotentiality, or the negative regulation of differentiation per se."}
{"STANDARD_NAME":"MOREAUX_B_LYMPHOCYTE_MATURATION_BY_TACI_UP","SYSTEMATIC_NAME":"M945","ORGANISM":"Homo sapiens","PMID":"15827134","AUTHORS":"Moreaux J,Cremer FW,Reme T,Raab M,Mahtouk K,Kaukel P,Pantesco V,De Vos J,Jourdan E,Jauch A,Legouffe E,Moos M,Fiol G,Goldschmidt H,Rossi JF,Hose D,Klein B","EXACT_SOURCE":"Table 3S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in normal bone marrow plasma cells (BMPC) compared to polyclonal plasmablasts (PPC) that also distinguished multiple myeloma (MM) samples by expression of levels of TACI (TNFRSF13B) [GeneID=23495].","DESCRIPTION_FULL":"B-cell activating factor (BAFF) and a proliferation-inducing ligand (APRIL) have been shown to promote multiple myeloma (MM) cell growth. We show that the main site of production for BAFF and APRIL is the bone marrow (BM) environment, and that production is mainly by monocytes and neutrophils. In addition, osteoclasts produce very high levels of APRIL, unlike BM stromal cells. Myeloma cells (MMCs) express TACI (transmembrane activator and calcium modulator and cyclophilin ligand interactor), the receptor of BAFF/APRIL, at varying levels. TACI expression is a good indicator of a BAFF-binding receptor. Expression data of purified MMCs from 65 newly diagnosed patients have been generated using Affymetrix microarrays and were analyzed by supervised clustering of groups with higher (TACI(hi)) versus lower (TACI(lo)) TACI expression levels. Patients in the TACI(lo) group had clinical parameters associated with bad prognosis. A set of 659 genes was differentially expressed between TACI(hi) and TACI(lo) MMCs. This set makes it possible to efficiently classify TACI(hi) and TACI(lo) MMCs in an independent cohort of 40 patients. TACI(hi) MMCs displayed a mature plasma cell gene signature, indicating dependence on the BM environment. In contrast, the TACI(lo) group had a gene signature of plasmablasts, suggesting an attenuated dependence on the BM environment. Taken together, our findings suggest using gene expression profiling to identify the group of patients who might benefit most from treatment with BAFF/APRIL inhibitors."}
{"STANDARD_NAME":"HOEGERKORP_CD44_TARGETS_DIRECT_UP","SYSTEMATIC_NAME":"M14487","ORGANISM":"Homo sapiens","PMID":"12411303","AUTHORS":"Högerkorp CM,Bilke S,Breslin T,Ingvarsson S,Borrebaeck CA","EXACT_SOURCE":"Table 1","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes directly up-regulated by CD44 [GeneID=960] stimulation of B lymphocytes.","DESCRIPTION_FULL":"A number of studies have implicated a role for the cell surface glycoprotein CD44 in several biologic events, such as lymphopoiesis, homing, lymphocyte activation, and apoptosis. We have earlier reported that signaling via CD44 on naive B cells in addition to B-cell receptor (BCR) and CD40 engagement generated a germinal center-like phenotype. To further characterize the global role of CD44 in B differentiation, we examined the expression profile of human B cells cultured in vitro in the presence or absence of CD44 ligation, together with anti-immunoglobulin (anti-Ig) and anti-CD40 antibodies. The data sets derived from DNA microarrays were analyzed using a novel statistical analysis scheme created to retrieve the most likely expression pattern of CD44 ligation. Our results show that genes such as interleukin-6 (IL-6), IL-1alpha, and beta(2)-adrenergic receptor (beta(2)-AR) were specifically up-regulated by CD44 ligation, suggesting a novel role for CD44 in immunoregulation and inflammation."}
{"STANDARD_NAME":"FAELT_B_CLL_WITH_VH3_21_UP","SYSTEMATIC_NAME":"M15164","ORGANISM":"Homo sapiens","PMID":"15817677","AUTHORS":"Fält S,Merup M,Tobin G,Thunberg U,Gahrton G,Rosenquist R,Wennborg A","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in samples from B-CLL (B-cell chronic lymphocytic leukemia) with the immunoglobulin heavy chain VH3-21 gene.","DESCRIPTION_FULL":"The usage of the immunoglobulin (Ig) V(H)3-21 gene is associated with poor prognosis in B-cell chronic lymphocytic leukemia (B-CLL) despite V(H) gene mutation status. Many V(H)3-21+ patients also display restricted heavy- and light-chain Ig gene rearrangements, implying a role of antigen selection in disease development. To explore the specific phenotypic/genotypic features among V(H)3-21+ B-CLLs, we compared gene expression patterns in 15 V(H)3-21+ and 24 non-V(H)3-21 patients (11 with unmutated and 13 with mutated V(H) genes) using Affymetrix microarray analysis (approximately 12,500 genes). A distinct expression profile was identified for V(H)3-21+ patients in contrast to the Ig-unmutated and -mutated groups. By applying different algorithms, the data enabled an efficient class discrimination of the V(H)3-21+ subset based on 27 or 57 genes. A set of genes was sorted out which, using different analytical methods, consistently gave a distinction between V(H)3-21+ and non-V(H)3-21 samples. Several of these genes are involved in regulation of DNA replication/cell-cycle control, transcription and protein kinase activity, which may render the V(H)3-21+ cells with a higher proliferative drive. However, no clear evidence of increased B-cell receptor signaling was found in the V(H)3-21+ group. Altogether, our identification of a specific V(H)3-21 profile may provide insights into the pathogenesis of the V(H)3-21+ subgroup."}
{"STANDARD_NAME":"SESTO_RESPONSE_TO_UV_C8","SYSTEMATIC_NAME":"M2948","ORGANISM":"Homo sapiens","PMID":"11867738","AUTHORS":"Sesto A,Navarro M,Burslem F,Jorcano JL","EXACT_SOURCE":"Table 3S: Cluster=8","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Cluster 8: genes changed in primary keratinocytes by UVB irradiation.","DESCRIPTION_FULL":"UV radiation is the most important environmental skin aggressor, causing cancer and other problems. This paper reports the use of oligonucleotide microarray technology to determine changes in gene expression in human keratinocytes after UVB treatment. Examination of the effects of different doses at different times after irradiation gave a global picture of the keratinocyte response to this type of insult. Five hundred thirty-nine regulated transcripts were found and organized into nine different clusters depending on behavior patterns. Classification of these genes into 23 functional categories revealed that several biological processes are globally affected by UVB. In addition to confirming a majority up-regulation of the transcripts related to the UV-specific inflammatory and stress responses, significant increases were seen in the expression of genes involved in basal transcription, splicing, and translation as well as in the proteasome-mediated degradation category. On the other hand, those transcripts belonging to the metabolism and adhesion categories were strongly downregulated. These results demonstrate the complexity of the transcriptional profile of the UVB response, describe several cellular processes previously not known to be affected by UV irradiation, and serve as a basis for the global characterization of UV-regulated genes and pathways."}
{"STANDARD_NAME":"GENTILE_UV_RESPONSE_CLUSTER_D9","SYSTEMATIC_NAME":"M13686","ORGANISM":"Homo sapiens","PMID":"12907719","AUTHORS":"Gentile M,Latonen L,Laiho M","GEOID":"GSE713","EXACT_SOURCE":"Table 2S: Cluster d9","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Cluster d9: genes progressively down-regulated in WS1 cells (fibroblast) through 24 h after irradiation with high dose UV-C.","DESCRIPTION_FULL":"DNA damage caused by UV radiation initiates cellular recovery mechanisms, which involve activation of DNA damage response pathways, cell cycle arrest and apoptosis. To assess cellular transcriptional responses to UVC-induced DNA damage we compared time course responses of human skin fibroblasts to low and high doses of UVC radiation known to induce a transient cellular replicative arrest or apoptosis, respectively. UVC radiation elicited >3-fold changes in 460 out of 12,000 transcripts and 89% of these represented downregulated transcripts. Only 5% of the regulated genes were common to both low and high doses of radiation. Cells inflicted with a low dose of UVC exhibited transcription profiles demonstrating transient regulation followed by recovery, whereas the responses were persistent after the high dose. A detailed clustering analysis and functional classification of the targets implied regulation of biologically divergent responses and suggested involvement of transcriptional and translational machinery, inflammatory, anti-proliferative and anti-angiogenic responses. The data support the notion that UVC radiation induces prominent, dose-dependent downregulation of transcription. However, the data strongly suggest that transcriptional repression is also target gene selective. Furthermore, the results demonstrate that dose-dependent induction of cell cycle arrest and apoptosis by UVC radiation are transcriptionally highly distinct responses."}
{"STANDARD_NAME":"MARTINEZ_RESPONSE_TO_TRABECTEDIN","SYSTEMATIC_NAME":"M5077","ORGANISM":"Homo sapiens","PMID":"11755394","AUTHORS":"Martinez EJ,Corey EJ,Owa T","EXACT_SOURCE":"Table 1A","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes down-regulated by trabectedin [PubChem=3199] and its synthetic analog phthalascidin Pt 650 in HCT116 cells (colon cancer).","DESCRIPTION_FULL":"BACKGROUND: Ecteinascidin 743 (Et 743) is a potent antitumor marine alkaloid currently undergoing phase II clinical trials. The synthetic analog phthalascidin (Pt 650), a designed structural analog of Et 743 displays in vitro potency comparable to Et 743. In this study, we used a panel of 36 human cancer cell lines, flow cytometry and oligonucleotide microarrays to analyze further these two compounds in a parallel fashion with regard to both antitumor activity (phenotype) and gene expression (genotype) bases. RESULTS: The cancer panel experiment established that activity patterns of Et 743 and Pt 650 were essentially the same with their IC(50) values ranging from pM to low nM. By means of flow cytometric cell cycle analysis using HCT116 cells, they were shown to disrupt S phase progression after a 12-h treatment at 2.0 nM, eventually resulting in the late S and G2/M accumulation at the 24-h time point. Array-based gene expression monitoring also demonstrated that the Et 743 and Pt 650 profiles were highly similar in two distinct cancer cell lines, HCT116 colon and MDA-MB-435 breast. Characteristic changes were observed in subsets of genes involved in DNA damage response, transcription and signal transduction. In HCT116 carrying the wild-type p53 tumor suppressor gene, the up-regulation of several p53-responsive genes was evident. Furthermore, a subset of genes encoding DNA-binding proteins to specific promoter regions (e.g. the CCAAT box) was down-regulated in both cell lines, suggesting one potential mode of action of this series of antitumor agents. CONCLUSION: A combination of gene expression analysis using oligonucleotide microarrays and flow cytometry confirms an earlier finding that Et 743 and Pt 650 have remarkably similar biological activities."}
{"STANDARD_NAME":"WEIGEL_OXIDATIVE_STRESS_BY_TBH_AND_H2O2","SYSTEMATIC_NAME":"M11333","ORGANISM":"Homo sapiens","PMID":"12419474","AUTHORS":"Weigel AL,Handa JT,Hjelmeland LM","EXACT_SOURCE":"Table 5","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Oxidative stress genes down-regulated in ARPE-19 cells (retinal pigmented epithelium) in response to tert-butyl hydroperoxide (tBH) and H2O2 [PubChem=6410;784].","DESCRIPTION_FULL":"Oxidative stress plays a key role in aging diseases of the posterior pole of the eye such as age-related macular degeneration. The oxidative stress response of in vitro RPE cells has been studied for a small number of genes. However, a comprehensive transcriptional response has yet to be elucidated. The purpose of this study was to determine if the transcription of a common set of genes is altered by exposure of ARPE-19 cells to three major generators of oxidative stress, hydrogen peroxide (H2O2), 4-hydroxynonenal (HNE), and tert-butylhydroperoxide (tBH). As expected, a common response was observed that included 35 genes differentially regulated by all three treatments. Of these, only one gene was upregulated, and only by one oxidant, while all other responses were downregulation. The majority of these genes fell into five functional categories: apoptosis, cell cycle regulation, cell-cell communication, signal transduction, and transcriptional regulation. Additionally, a large number of genes were differentially regulated by one oxidant only, including the majority of the conventional oxidative stress response genes present on the Clontech Human 1.2 microarray. This study raises questions regarding the generality of results that involve the use of a single oxidant and a single cell culture condition."}
{"STANDARD_NAME":"LEE_AGING_NEOCORTEX_DN","SYSTEMATIC_NAME":"M1497","ORGANISM":"Mus musculus","PMID":"10888876","AUTHORS":"Lee CK,Weindruch R,Prolla TA","EXACT_SOURCE":"Table 2S","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Downregulated in the neocortex of aged adult mice (30-month) vs young adult (5-month)","DESCRIPTION_FULL":"Ageing of the brain leads to impairments in cognitive and motor skills, and is the major risk factor for several common neurological disorders such as Alzheimer disease (AD) and Parkinson disease (PD). Recent studies suggest that normal brain ageing is associated with subtle morphological and functional alterations in specific neuronal circuits, as opposed to large-scale neuronal loss. In fact, ageing of the central nervous system in diverse mammalian species shares many features, such as atrophy of pyramidal neurons, synaptic atrophy, decrease of striatal dopamine receptors, accumulation of fluorescent pigments, cytoskeletal abnormalities, and reactive astrocytes and microglia. To provide the first global analysis of brain ageing at the molecular level, we used oligonucleotide arrays representing 6,347 genes to determine the gene-expression profile of the ageing neocortex and cerebellum in mice. Ageing resulted in a gene-expression profile indicative of an inflammatory response, oxidative stress and reduced neurotrophic support in both brain regions. At the transcriptional level, brain ageing in mice displays parallels with human neurodegenerative disorders. Caloric restriction, which retards the ageing process in mammals, selectively attenuated the age-associated induction of genes encoding inflammatory and stress responses."}
{"STANDARD_NAME":"REN_ALVEOLAR_RHABDOMYOSARCOMA_UP","SYSTEMATIC_NAME":"M768","ORGANISM":"Homo sapiens","PMID":"18701482","AUTHORS":"Ren YX,Finckenstein FG,Abdueva DA,Shahbazian V,Chung B,Weinberg KI,Triche TJ,Shimada H,Anderson MJ","GEOID":"GSM38627,GSM139891,GSM201143,GSM201144,GSM201145,GSM161538","EXACT_SOURCE":"Table 11S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes commonly up-regulated in human alveolar rhabdomyosarcoma (ARMS) and its mouse model overexpressing PAX3-FOXO1 [GeneID=5077;2308] fusion.","DESCRIPTION_FULL":"Alveolar rhabdomyosarcomas (ARMS) are highly malignant soft-tissue sarcomas that arise in children, adolescents, and young adults. Although formation and expression of the PAX-FKHR fusion genes is thought to be the initiating event in this cancer, the role of PAX-FKHR in the neoplastic process remains largely unknown in a progenitor cell that is undefined. We hypothesize that PAX-FKHR determine the ARMS progenitor to the skeletal muscle lineage, which when coupled to the inactivation and/or activation of critical cell signaling pathways leads to the formation of ARMS. Because a number of studies have proposed that mesenchymal stem cells (MSC) are the progenitor for several of the sarcomas, we tested this hypothesis in MSCs. We show that PAX-FKHR induce skeletal myogenesis in MSCs by transactivating MyoD and myogenin. Despite exhibiting enhanced growth in vitro, the PAX-FKHR-expressing populations do not form colonies in soft agar or tumors in mice. Expression of dominant-negative p53, or the SV40 early region, elicits tumor formation in some of the PAX-FKHR-expressing populations. Additional activation of the Ras signaling pathway leads to highly malignant tumor formation for all of the populations. The PAX-FKHR-expressing tumors were shown to have histologic, immunohistochemical, and gene expression profiles similar to human ARMS. Our results show the critical role played by PAX-FKHR in determining the molecular, myogenic, and histologic phenotype of ARMS. More importantly, we identify MSCs as a progenitor that can give rise to ARMS."}
{"STANDARD_NAME":"TRAYNOR_RETT_SYNDROM_UP","SYSTEMATIC_NAME":"M2712","ORGANISM":"Homo sapiens","PMID":"12418965","AUTHORS":"Traynor J,Agarwal P,Lazzeroni L,Francke U","EXACT_SOURCE":"Table 1","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes up-regulated in primary fibroblasts from Rett syndrom patients who carry mutations inactivating MECP2 [GeneID=4204].","DESCRIPTION_FULL":"BACKGROUND: Females with the neurological disorder Rett syndrome are heterozygous for mutations in X-linked MECP2 that encodes methyl-CpG binding protein 2 (MeCP2) thought to act as a transcriptional repressor. To identify target genes for MeCP2 modulation, we studied global gene expression in single cell-derived wild-type and mutant MECP2 expressing fibroblast clones with four common mutations (R106W, R306C, 705delG, 1155del32) and in lymphoblastoid cell lines (LCLs) that included four mutant MeCP2 (T158M, 803delG, R168X and 1159del28) expressing, and five (1159del28, R106W, R255X, 803delG, 803delG) wild-type MeCP2 expressing lines. METHODS: Clonality and mutation status were verified by androgen receptor methylation assays for X-inactivation and by sequencing MECP2 transcripts. Expression studies were done with oligonucleotide microarrays (Affymetrix U95) and verified with real-time quantitative RT-PCR using Sybr Green. RESULTS: Expression of 49 transcripts was increased, and expression of 21 transcripts was decreased, in at least 3 of 4 mutant/wild-type fibroblast comparisons. Transcript levels of 11 genes, determined by quantitative RT-PCR, were highly correlated with the microarray data. Therefore, multiple additional clones from two Rett individuals were tested by RT-PCR only. Striking expression differences were found in both mutant and wildtype MeCP2 expressing clones. Comparing expression profiles of lymphoblastoid cell lines yielded 16 differentially expressed genes. CONCLUSIONS: MeCP2 deficiency does not lead to global deregulation of gene expression. Either MeCP2's in vivo function does not involve widespread transcriptional repression, or its function is redundant in cell types that also express other methyl-CpG binding proteins. Our data suggest that clonal fibroblast strains may show substantial inter-strain variation, making them a difficult and unstable resource for genome-wide expression profiling studies."}
{"STANDARD_NAME":"MCCLUNG_DELTA_FOSB_TARGETS_8WK","SYSTEMATIC_NAME":"M17173","ORGANISM":"Mus musculus","PMID":"14566342","AUTHORS":"McClung CA,Nestler EJ","EXACT_SOURCE":"Table 6S","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes up-regulated in the nucleus accumbens (a major reward center in brain) 8 weeks after induction of deltaFosB, a FOSB [GeneID=2354] splice variant.","DESCRIPTION_FULL":"DeltaFosB (a truncated form of FosB) and CREB (cAMP response element binding protein) are transcription factors induced in the brain's reward pathways after chronic exposure to drugs of abuse. However, their mechanisms of action and the genes they regulate remain unclear. Using microarray analysis in the nucleus accumbens of inducible transgenic mice, we found that CREB and a dominant-negative CREB have opposite effects on gene expression, as do prolonged expression of DeltaFosB and the activator protein-1 (AP-1) antagonist DeltacJun. However, unlike CREB, short-term and prolonged DeltaFosB induction had opposing effects on gene expression. Gene expression induced by short-term DeltaFosB and by CREB was strikingly similar, and both reduced the rewarding effects of cocaine, whereas prolonged DeltaFosB expression increased drug reward. Gene expression after a short cocaine treatment was more dependent on CREB, whereas gene expression after a longer cocaine treatment became increasingly DeltaFosB dependent. These findings help define the molecular functions of CREB and DeltaFosB and identify clusters of genes that contribute to cocaine addiction."}
{"STANDARD_NAME":"MODY_HIPPOCAMPUS_POSTNATAL","SYSTEMATIC_NAME":"M10332","ORGANISM":"Mus musculus","PMID":"11438693","AUTHORS":"Mody M,Cao Y,Cui Z,Tay KY,Shyong A,Shimizu E,Pham K,Schultz P,Welsh D,Tsien JZ","EXACT_SOURCE":"Table 3S","CHIP":"AFFY_Mu11K","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes up-regulated in hyppocampus at late postnatal stages (clusters 11 and 15).","DESCRIPTION_FULL":"We have analyzed the developmental molecular programs of the mouse hippocampus, a cortical structure critical for learning and memory, by means of large-scale DNA microarray techniques. Of 11,000 genes and expressed sequence tags examined, 1,926 showed dynamic changes during hippocampal development from embryonic day 16 to postnatal day 30. Gene-cluster analysis was used to group these genes into 16 distinct clusters with striking patterns that appear to correlate with major developmental hallmarks and cellular events. These include genes involved in neuronal proliferation, differentiation, and synapse formation. A complete list of the transcriptional changes has been compiled into a comprehensive gene profile database (http://BrainGenomics.Princeton.edu), which should prove valuable in advancing our understanding of the molecular and genetic programs underlying both the development and the functions of the mammalian brain."}
{"STANDARD_NAME":"IYENGAR_RESPONSE_TO_ADIPOCYTE_FACTORS","SYSTEMATIC_NAME":"M19259","ORGANISM":"Homo sapiens","PMID":"14508521","AUTHORS":"Iyengar P,Combs TP,Shah SJ,Gouon-Evans V,Pollard JW,Albanese C,Flanagan L,Tenniswood MP,Guha C,Lisanti MP,Pestell RG,Scherer PE","EXACT_SOURCE":"Table 1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes up-regulated in MCF-7 cells (breast cancer) in response to growth medium from L3T3-L1 cells (differentiated to pre-adipocytes).","DESCRIPTION_FULL":"Mammary epithelial cells are embedded in a unique extracellular environment to which adipocytes and other stromal cells contribute. Mammary epithelial cells are critically dependent on this milieu for survival. However, it remains unknown which adipocyte-secreted factors are required for the survival of the mammary epithelia and what role these adipokines play in the process of ductal carcinoma tumorigenesis. Here, we take a systematic molecular approach to investigate the multiple ways adipocytes and adipokines can uniquely influence the characteristics and phenotypic behavior of malignant breast ductal epithelial cells. Microarray analysis and luciferase reporter assays indicate that adipokines specifically induce several transcriptional programs involved in promoting tumorigenesis, including increased cell proliferation (IGF2, FOS, JUN, cyclin D1), invasive potential (MMP1, ATF3), survival (A20, NFkappaB), and angiogenesis. One of the key changes in the transformed ductal epithelial cells associated with the cell cycle involves the induction of NFkappaB (five-fold) and cyclin D1 (three-fold). We show that by regulating the transcription of these molecules, the synergistic activity of adipocyte-derived factors can potentiate MCF-7 cell proliferation. Furthermore, compared to other stromal cell-secreted factors, the full complement of adipokines shows an unparalleled ability to promote increased cell motility, migration, and the capacity for angiogenesis. Adipocyte-secreted factors can affect tumorigenesis by increasing the stabilization of pro-oncogenic factors such as beta-catenin and CDK6 as a result of a reduction in the gene expression of their inhibitors (i.e. p18). An in vivo coinjection system using 3T3-L1 adipocytes and SUM159PT cells effectively recapitulates the host-tumor interactions in primary tumors. Type VI collagen, a soluble extracellular matrix protein abundantly expressed in adipocytes, is further upregulated in adipocytes during tumorigenesis. It promotes GSK3beta phosphorylation, beta-catenin stabilization, and increased beta-catenin activity in breast cancer cells and may critically contribute towards tumorigenesis when not counterbalanced by other factors."}
{"STANDARD_NAME":"JAZAERI_BREAST_CANCER_BRCA1_VS_BRCA2_DN","SYSTEMATIC_NAME":"M16561","ORGANISM":"Homo sapiens","PMID":"12096084","AUTHORS":"Jazaeri AA,Yee CJ,Sotiriou C,Brantley KR,Boyd J,Liu ET","EXACT_SOURCE":"Fig. 3","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Down-regulated genes distinguishing between breast cancer tumors with mutated BRCA1 [GeneID=672] from those with mutated BRCA2 [GeneID=675].","DESCRIPTION_FULL":"BACKGROUND: Germline mutations in BRCA1 and BRCA2 are responsible for 5%-10% of epithelial ovarian cancers, but the molecular pathways affected by these mutations are unknown. We used complementary DNA (cDNA) microarrays to compare gene expression patterns in ovarian cancers associated with BRCA1 or BRCA2 mutations with gene expression patterns in sporadic epithelial ovarian cancers and to identify patterns common to both hereditary and sporadic tumors. METHODS: Tumor samples from 61 patients with pathologically confirmed epithelial ovarian adenocarcinoma with matched clinicopathologic features were studied, including 18 with BRCA1 founder mutations, 16 with BRCA2 founder mutations, and 27 without either founder mutation (termed sporadic cancers). The cDNA microarrays contained 7651 sequence-verified features. Gene expression data were analyzed with a modified two-sided F test, with P<.0001 considered statistically significant. The expression level of six genes was also studied with reverse transcription-polymerase chain reaction. RESULTS: The greatest contrast in gene expression was observed between tumors with BRCA1 mutations and those with BRCA2 mutations; 110 genes showed statistically significantly different expression levels (P<.0001). This group of genes could segregate sporadic tumors into two subgroups, BRCA1-like and BRCA2-like, suggesting that BRCA1-related and BRCA2-related pathways are also involved in sporadic ovarian cancers. Fifty-three genes were differentially expressed between tumors with BRCA1 mutations and sporadic tumors; six of the 53 mapped to Xp11.23 and were expressed at higher levels in tumors with BRCA1 mutations than in sporadic tumors. Compared with the immortalized ovarian surface epithelial cells used as reference, several interferon-inducible genes were overexpressed in the majority of tumors with a BRCA mutation and in sporadic tumors. CONCLUSIONS: Mutations in BRCA1 and BRCA2 may lead to carcinogenesis through distinct molecular pathways that also appear to be involved in sporadic cancers. Sporadic carcinogenic pathways may result from epigenetic aberrations of BRCA1 and BRCA2 or their downstream effectors."}
{"STANDARD_NAME":"DAZARD_UV_RESPONSE_CLUSTER_G3","SYSTEMATIC_NAME":"M8463","ORGANISM":"Homo sapiens","PMID":"12771951","AUTHORS":"Dazard JE,Gal H,Amariglio N,Rechavi G,Domany E,Givol D","EXACT_SOURCE":"Table 2S: Cluster#=3","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Cluster G3: genes increasingly up-regulated in NHEK cells (normal keratinocyte) after 6 h time point upon UV-B irradiation.","DESCRIPTION_FULL":"To gain insight into the transformation of epidermal cells into squamous carcinoma cells (SCC), we compared the response to ultraviolet B radiation (UVB) of normal human epidermal keratinocytes (NHEK) versus their transformed counterpart, SCC, using biological and molecular profiling. DNA microarray analyses (Affymetrix), approximately 12000 genes) indicated that the major group of upregulated genes in keratinocytes fall into three categories: (i). antiapoptotic and cell survival factors, including chemokines of the CXC/CC subfamilies (e.g. IL-8, GRO-1, -2, -3, SCYA20), growth factors (e.g. HB-EGF, CTGF, INSL-4), and proinflammatory mediators (e.g. COX-2, S100A9), (ii). DNA repair-related genes (e.g. GADD45, ERCC, BTG-1, Histones), and (iii). ECM proteases (MMP-1, -10). The major downregulated genes are DeltaNp63 and PUMILIO, two potential markers for the maintenance of keratinocyte stem cells. NHEK were found to be more resistant than SCC to UVB-induced apoptosis and this resistance was mainly because of the protection from cell death by secreted survival factors, since it can be transferred from NHEK to SCC cultures by the conditioned medium. Whereas the response of keratinocytes to UVB involved regulation of key checkpoint genes (p53, MDM2, p21(Cip1), DeltaNp63), as well as antiapoptotic and DNA repair-related genes - no or little regulation of these genes was observed in SCC. The effect of UVB on NHEK and SCC resulted in upregulation of 251 and 127 genes, respectively, and downregulation of 322 genes in NHEK and 117 genes in SCC. To further analyse these changes, we used a novel unsupervised coupled two-way clustering method that allowed the identification of groups of genes that clearly partitioned keratinocytes from SCC, including a group of genes whose constitutive expression levels were similar before UVB. This allowed the identification of discriminating genes not otherwise revealed by simple static comparison in the absence of UVB irradiation. The implication of the changes in gene profile in keratinocytes for epithelial cancer is discussed."}
{"STANDARD_NAME":"SCHLINGEMANN_SKIN_CARCINOGENESIS_TPA_UP","SYSTEMATIC_NAME":"M1502","ORGANISM":"Mus musculus","PMID":"12640676","AUTHORS":"Schlingemann J,Hess J,Wrobel G,Breitenbach U,Gebhardt C,Steinlein P,Kramer H,Fürstenberger G,Hahn M,Angel P,Lichter P","EXACT_SOURCE":"Table 3","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Up-regulated in murine dorsal skin cells at 6 h after treatment with the phorbol ester carcinogen TPA [PubChem=4792].","DESCRIPTION_FULL":"Malignant transformation of mouse skin by chemical carcinogens and tumour promoters, such as the phorbol ester 12-O-tetradecanoylphorbol-13-acetate (TPA), is a multistage process that leads to squamous cell carcinoma (SCC) formation. In an effort to identify tumour-associated genes, we studied the influence of short-term TPA-treatment on the gene expression profile of murine skin. A comprehensive microarray with some 5,000 murine gene specific cDNA fragments was established and hybridised with pooled RNA derived from control and TPA-treated dorsal skin samples. Of these genes, 54 were up- and 35 were down-regulated upon TPA application. Additionally, we performed suppression subtractive hybridisation (SSH) with respective RNA pools to generate and analyse a cDNA library enriched for TPA-inducible genes. Expression data of selected genes were confirmed by quantitative real-time PCR and Northern blot analysis. Comparison of microarray and SSH data revealed that 26% of up-regulated genes identified by expression profiling matched with those present in the SSH library. Besides numerous known genes, we identified a large set of unknown cDNAs that represent previously unrecognised TPA-regulated genes in murine skin with potential function in tumour promotion. Additionally, some TPA-induced genes, such as Sprr1A, Saa3, JunB, Il4ralpha, Gp38, RalGDS and Slpi exhibit high basal level in advanced stages of skin carcinogenesis, suggesting that at least a subgroup of the identified TPA-regulated genes may contribute to tumour progression and metastasis."}
{"STANDARD_NAME":"KAAB_FAILED_HEART_ATRIUM_DN","SYSTEMATIC_NAME":"M10619","ORGANISM":"Homo sapiens","PMID":"15103417","AUTHORS":"Kääb S,Barth AS,Margerie D,Dugas M,Gebauer M,Zwermann L,Merk S,Pfeufer A,Steinmeyer K,Bleich M,Kreuzer E,Steinbeck G,Näbauer M","EXACT_SOURCE":"Table 3aS, 3bS: CMP atrium = DOWN","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes down-regulated in atria of failing hearts (DCM and ICM) compared to healthy controls.","DESCRIPTION_FULL":"To obtain region- and disease-specific transcription profiles of human myocardial tissue, we explored mRNA expression from all four chambers of eight explanted failing [idiopathic dilated cardiomyopathy (DCM), n=5; ischemic cardiomyopathy (ICM), n=3], and five non-failing hearts using high-density oligonucleotide arrays (Affymetrix U95Av2). We performed pair-wise comparisons of gene expression in the categories (1) atria versus ventricles, (2) disease-regulated genes in atria and (3) disease-regulated genes in ventricles. In the 51 heart samples examined, 549 genes showed divergent distribution between atria and ventricles (272 genes with higher expression in atria, 277 genes with higher expression in ventricles). Two hundred and eighty-eight genes were differentially expressed in failing myocardium compared to non-failing hearts (19 genes regulated in atria and ventricles, 172 regulated in atria only, 97 genes regulated in ventricles only). For disease-regulated genes, down-regulation was 4.5-times more common than up-regulation. Functional classification according to Gene Ontology identified specific biological patterns for differentially expressed genes. Eleven genes were validated by RT-PCR showing a good correlation with the microarray data. Our goal was to determine a gene expression fingerprint of the heart, accounting for region- and disease-specific aspects. Recognizing common gene expression patterns in heart failure will significantly contribute to the understanding of heart failure and may eventually lead to the development of pathway-specific therapies."}
{"STANDARD_NAME":"SU_PANCREAS","SYSTEMATIC_NAME":"M19938","ORGANISM":"Homo sapiens","PMID":"11904358","AUTHORS":"Su AI,Cooke MP,Ching KA,Hakak Y,Walker JR,Wiltshire T,Orth AP,Vega RG,Sapinoso LM,Moqrich A,Patapoutian A,Hampton GM,Schultz PG,Hogenesch JB","GEOID":"GSE96","EXACT_SOURCE":"Table 1S: Max Tissue=Pancreas","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes up-regulated specifically in human pancreas.","DESCRIPTION_FULL":"High-throughput gene expression profiling has become an important tool for investigating transcriptional activity in a variety of biological samples. To date, the vast majority of these experiments have focused on specific biological processes and perturbations. Here, we have generated and analyzed gene expression from a set of samples spanning a broad range of biological conditions. Specifically, we profiled gene expression from 91 human and mouse samples across a diverse array of tissues, organs, and cell lines. Because these samples predominantly come from the normal physiological state in the human and mouse, this dataset represents a preliminary, but substantial, description of the normal mammalian transcriptome. We have used this dataset to illustrate methods of mining these data, and to reveal insights into molecular and physiological gene function, mechanisms of transcriptional regulation, disease etiology, and comparative genomics. Finally, to allow the scientific community to use this resource, we have built a free and publicly accessible website (http://expression.gnf.org) that integrates data visualization and curation of current gene annotations."}
{"STANDARD_NAME":"WU_HBX_TARGETS_2_DN","SYSTEMATIC_NAME":"M17517","ORGANISM":"Homo sapiens","PMID":"11439330","AUTHORS":"Wu CG,Salvay DM,Forgues M,Valerie K,Farnsworth J,Markin RS,Wang XW","EXACT_SOURCE":"Fig. 3B+C","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes down-regulated by expression of HBV X protein (HBVgp3) [GeneID=944566] in primary hepatocytes.","DESCRIPTION_FULL":"Hepatitis B virus (HBV) is a major risk factor for the development of hepatocellular carcinoma (HCC). HBV encodes the potentially oncogenic HBx protein, which mainly functions as a transcriptional co-activator involving in multiple gene deregulations. However, mechanisms underlying HBx-mediated oncogenicity remain unclear. To determine the role(s) of HBx in the early genesis of HCC, we utilized the NCI Oncochip microarray that contains 2208 human cDNA clones to examine the gene expression profiles in either freshly isolated normal primary adult human hepatocytes (Hhep) or an HCC cell line (SK-Hep-1) ecotopically expressing HBx via an adenoviral system. The gene expression profiles also were determined in liver samples from HBV-infected chronic active hepatitis patients when compared with normal liver samples. The microarray results were validated through Northern blot analysis of the expression of selected genes. Using reciprocally labeling hybridizations, scatterplot analysis of gene expression ratios in human primary hepatocytes expressing HBx demonstrates that microarrays are highly reproducible. The comparison of gene expression profiles between HBx-expressing primary hepatocytes and HBV-infected liver samples shows a consistent alteration of many cellular genes including a subset of oncogenes (such as c-myc and c-myb) and tumor suppressor genes (such as APC, p53, WAF1 and WT1). Furthermore, clustering algorithm analysis showed distinctive gene expression profiles in Hhep and SK-Hep-1 cells. Our findings are consistent with the hypothesis that the deregulation of cellular genes by oncogenic HBx may be an early event that favors hepatocyte proliferation during liver carcinogenesis."}
{"STANDARD_NAME":"JIANG_AGING_CEREBRAL_CORTEX_UP","SYSTEMATIC_NAME":"M1508","ORGANISM":"Mus musculus","PMID":"11172053","AUTHORS":"Jiang CH,Tsien JZ,Schultz PG,Hu Y","EXACT_SOURCE":"Table 2, 4S: FC >= 2","CHIP":"AFFY_Mu11K","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Up-regulated in the cerebral cortex of aged (22 months) BALB/c mice, compared to young (2 months) controls","DESCRIPTION_FULL":"A better understanding of the molecular effects of aging in the brain may help to reveal important aspects of organismal aging, as well as processes that lead to age-related brain dysfunction. In this study, we have examined differences in gene expression in the hypothalamus and cortex of young and aged mice by using high-density oligonucleotide arrays. A number of key genes involved in neuronal structure and signaling are differentially expressed in both the aged hypothalamus and cortex, including synaptotagmin I, cAMP-dependent protein kinase C beta, apolipoprotein E, protein phosphatase 2A, and prostaglandin D. Misregulation of these proteins may contribute to age-related memory deficits and neurodegenerative diseases. In addition, many proteases that play essential roles in regulating neuropeptide metabolism, amyloid precursor protein processing, and neuronal apoptosis are up-regulated in the aged brain and likely contribute significantly to brain aging. Finally, a subset of these genes whose expression is affected by aging are oppositely affected by exposure of mice to an enriched environment, suggesting that these genes may play important roles in learning and memory."}
{"STANDARD_NAME":"WEIGEL_OXIDATIVE_STRESS_RESPONSE","SYSTEMATIC_NAME":"M14591","ORGANISM":"Homo sapiens","PMID":"12419474","AUTHORS":"Weigel AL,Handa JT,Hjelmeland LM","EXACT_SOURCE":"Table 2","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Oxidative stress genes down-regulated in ARPE-19 cells (retinal pigmented epithelium) in response to HNE, tBH and H2O2 [PubChem=5283344;6410;784].","DESCRIPTION_FULL":"Oxidative stress plays a key role in aging diseases of the posterior pole of the eye such as age-related macular degeneration. The oxidative stress response of in vitro RPE cells has been studied for a small number of genes. However, a comprehensive transcriptional response has yet to be elucidated. The purpose of this study was to determine if the transcription of a common set of genes is altered by exposure of ARPE-19 cells to three major generators of oxidative stress, hydrogen peroxide (H2O2), 4-hydroxynonenal (HNE), and tert-butylhydroperoxide (tBH). As expected, a common response was observed that included 35 genes differentially regulated by all three treatments. Of these, only one gene was upregulated, and only by one oxidant, while all other responses were downregulation. The majority of these genes fell into five functional categories: apoptosis, cell cycle regulation, cell-cell communication, signal transduction, and transcriptional regulation. Additionally, a large number of genes were differentially regulated by one oxidant only, including the majority of the conventional oxidative stress response genes present on the Clontech Human 1.2 microarray. This study raises questions regarding the generality of results that involve the use of a single oxidant and a single cell culture condition."}
{"STANDARD_NAME":"LU_AGING_BRAIN_DN","SYSTEMATIC_NAME":"M9112","ORGANISM":"Homo sapiens","PMID":"15190254","AUTHORS":"Lu T,Pan Y,Kao SY,Li C,Kohane I,Chan J,Yankner BA","GEOID":"GSE1572","EXACT_SOURCE":"Table 2S: Fold change =< -1.5","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Age down-regulated genes in the human frontal cortex.","DESCRIPTION_FULL":"The ageing of the human brain is a cause of cognitive decline in the elderly and the major risk factor for Alzheimer's disease. The time in life when brain ageing begins is undefined. Here we show that transcriptional profiling of the human frontal cortex from individuals ranging from 26 to 106 years of age defines a set of genes with reduced expression after age 40. These genes play central roles in synaptic plasticity, vesicular transport and mitochondrial function. This is followed by induction of stress response, antioxidant and DNA repair genes. DNA damage is markedly increased in the promoters of genes with reduced expression in the aged cortex. Moreover, these gene promoters are selectively damaged by oxidative stress in cultured human neurons, and show reduced base-excision DNA repair. Thus, DNA damage may reduce the expression of selectively vulnerable genes involved in learning, memory and neuronal survival, initiating a programme of brain ageing that starts early in adult life."}
{"STANDARD_NAME":"RUAN_RESPONSE_TO_TNF_UP","SYSTEMATIC_NAME":"M1512","ORGANISM":"Mus musculus","PMID":"12732648","AUTHORS":"Ruan H,Pownall HJ,Lodish HF","EXACT_SOURCE":"Table 1: Fold-TNFa >= 1.3","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Adipocyte abundant genes up-regulated in 3T3-L1 cells (fibroblasts induced to differentiate to adipocytes) in response to TNF [GeneID=7124].","DESCRIPTION_FULL":"Troglitazone (TGZ), a member of the thiazolidinedione class of anti-diabetic compounds and a peroxisome proliferator activator receptor-gamma (PPAR-gamma) agonist, restores systemic insulin sensitivity and improves the full insulin resistance syndrome in vivo. The mechanisms underlying its in vivo function are not understood. Here we investigated the potential functional interaction between PPAR-gamma and NF-kappaB in adipocytes. We show that TGZ selectively blocked tumor necrosis factor-alpha-induced and NF-kappaB-dependent repression of multiple adipocyte-specific genes and induction of growth phase and other genes. This occurs without interfering with NF-kappaB expression, activation, nuclear translocation, or DNA binding and without suppressing NF-kappaB-dependent survival signals. Notably, the expressions of some tumor necrosis factor-alpha-induced genes in adipocytes were unaffected by PPAR-gamma activation. In reporter gene assays in HeLa cells, ectopic expression of PPAR-gamma abolished induction of a NF-kappaB-responsive reporter gene by the p65 subunit (RelA) of NF-kappaB, and the inhibition was further enhanced in the presence of TGZ. Conversely, overexpression of p65 inhibited induction of a PPAR-gamma-responsive reporter gene by activated PPAR-gamma in a dose-dependent manner. The inhibitory effect was independent of the presence of NF-kappaB-binding sites in the promoter region. Other NF-kappaB family members, p50 and c-Rel as well as the S276A mutant of p65, blocked PPAR-gamma-mediated gene transcription less effectively. Thus, p65 antagonizes the transcriptional regulatory activity of PPAR-gamma in adipocytes, and PPAR-gamma activation can at least partially override the inhibitory effects of p65 on the expression of key adipocyte genes. Our data suggest that inhibition of NF-kappaB activity is a mechanism by which PPAR-gamma agonists improve insulin sensitivity in vivo and that adipocyte NF-kappaB is a potential therapeutic target for obesity-linked type 2 diabetes."}
{"STANDARD_NAME":"LEE_CALORIE_RESTRICTION_NEOCORTEX_UP","SYSTEMATIC_NAME":"M1513","ORGANISM":"Mus musculus","PMID":"10888876","AUTHORS":"Lee CK,Weindruch R,Prolla TA","EXACT_SOURCE":"Table 3S","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Up-regulated in the neocortex of aged (30-month) mice subjected to caloric restriction since young adulthood.","DESCRIPTION_FULL":"Ageing of the brain leads to impairments in cognitive and motor skills, and is the major risk factor for several common neurological disorders such as Alzheimer disease (AD) and Parkinson disease (PD). Recent studies suggest that normal brain ageing is associated with subtle morphological and functional alterations in specific neuronal circuits, as opposed to large-scale neuronal loss. In fact, ageing of the central nervous system in diverse mammalian species shares many features, such as atrophy of pyramidal neurons, synaptic atrophy, decrease of striatal dopamine receptors, accumulation of fluorescent pigments, cytoskeletal abnormalities, and reactive astrocytes and microglia. To provide the first global analysis of brain ageing at the molecular level, we used oligonucleotide arrays representing 6,347 genes to determine the gene-expression profile of the ageing neocortex and cerebellum in mice. Ageing resulted in a gene-expression profile indicative of an inflammatory response, oxidative stress and reduced neurotrophic support in both brain regions. At the transcriptional level, brain ageing in mice displays parallels with human neurodegenerative disorders. Caloric restriction, which retards the ageing process in mammals, selectively attenuated the age-associated induction of genes encoding inflammatory and stress responses."}
{"STANDARD_NAME":"JOSEPH_RESPONSE_TO_SODIUM_BUTYRATE_DN","SYSTEMATIC_NAME":"M1515","ORGANISM":"Homo sapiens","PMID":"15318170","AUTHORS":"Joseph J,Mudduluru G,Antony S,Vashistha S,Ajitkumar P,Somasundaram K","EXACT_SOURCE":"Table 2","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes down-regulated in H460 cells (non-small cell lung carcinoma, NSCLC) after treatment with sodium butyrate [PubChem=5222465].","DESCRIPTION_FULL":"Histone deacetylase (HDAC) inhibitors induce growth arrest and apoptosis in a variety of human cancer cells. Sodium butyrate (NaB), a short chain fatty acid, is a HDAC inhibitor and is produced in the colonic lumen as a consequence of microbial degradation of dietary fibers. In order to dissect out the mechanism of NaB-induced growth inhibition of cancer cells, we carried out expression profiling of a human lung carcinoma cell line (H460) treated with NaB using a cDNA microarray. Of the total 1728 genes analysed, there were 32 genes with a mean expression value of 2.0-fold and higher and 66 genes with a mean expression value 3.0-fold and lower in NaB-treated cells. For a few selected genes, we demonstrate that their expression pattern by semiquantitative reverse transcription-polymerase chain reaction (RT-PCR) analysis is matching with the results obtained by microarray analysis. Closer view at the expression profile of NaB-treated cells revealed the downregulation of a total of 16 genes associated with cytokine signaling, in particular, interferon gamma (IFNgamma) pathway. In good correlation, NaB-pretreated cells failed to induce interferon regulatory factor 1, an INFgamma target gene, efficiently upon IFNgamma addition. These results suggest that NaB inhibits proinflammatory cytokine signaling pathway, thus providing proof of mechanism for its anti-inflammatory activity. We also found that NaB induced three genes, which are known metastatic suppressors, and downregulated 11 genes, which have been shown to promote metastasis. Upregulation of metastatic suppressor Kangai 1 (KAI1) by NaB in a time-dependent manner was confirmed by RT-PCR analysis. The differential regulation of metastasis-associated genes by NaB provides explanation for the anti-invasive properties of NaB. Therefore, our study presents new evidence for pathways regulated by NaB, thus providing evidence for the mechanism behind anti-inflammatory and antimetastatic activities of NaB."}
{"STANDARD_NAME":"HU_GENOTOXIN_ACTION_DIRECT_VS_INDIRECT_4HR","SYSTEMATIC_NAME":"M1516","ORGANISM":"Mus musculus","PMID":"15120960","AUTHORS":"Hu T,Gibson DP,Carr GJ,Torontali SM,Tiesman JP,Chaney JG,Aardema MJ","EXACT_SOURCE":"Table 4","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes discriminating between direct (cisplatin, MMS, mitomycin C [PubChem=2767;4156;5746]) and indirect (paclitaxel, hydroxyurea, etoposide [PubChem=4666;3657;36462]) acting genotoxins at 4 h time point.","DESCRIPTION_FULL":"During the safety evaluation process of new drugs and chemicals, a battery of genotoxicity tests is conducted starting with in vitro genotoxicity assays. Obtaining positive results in in vitro genotoxicity tests is not uncommon. Follow-up studies to determine the biological relevance of positive genotoxicity results are costly, time consuming, and utilize animals. More efficient methods, especially for identifying a putative mode of action like an indirect mechanism of genotoxicity (where DNA molecules are not the initial primary targets), would greatly improve the risk assessment for genotoxins. To this end, we are participating in an International Life Sciences Institute (ILSI) project involving studies of gene expression changes caused by model genotoxins. The purpose of the work is to evaluate gene expression tools in general, and specifically for discriminating genotoxins that are direct-acting from indirect-acting. Our lab has evaluated gene expression changes as well as micronuclei (MN) in L5178Y TK(+/-) mouse lymphoma cells treated with six compounds. Direct-acting genotoxins (where DNA is the initial primary target) that were evaluated included the DNA crosslinking agents, mitomycin C (MMC) and cisplatin (CIS), and an alkylating agent, methyl methanesulfonate (MMS). Indirect-acting genotoxins included hydroxyurea (HU), a ribonucleotide reductase inhibitor, taxol (TXL), a microtubule inhibitor, and etoposide (ETOP), a DNA topoisomerase II inhibitor. Microarray gene expression analysis was conducted using Affymetrix mouse oligonucleotide arrays on RNA samples derived from cells which were harvested immediately after the 4 h chemical treatment, and 20 h after the 4 h chemical treatment. The evaluation of these experimental results yields evidence of differentially regulated genes at both 4 and 24 h time points that appear to have discriminating power for direct versus indirect genotoxins, and therefore may serve as a fingerprint for classifying chemicals when their mechanism of action is unknown."}
{"STANDARD_NAME":"MARCHINI_TRABECTEDIN_RESISTANCE_UP","SYSTEMATIC_NAME":"M17330","ORGANISM":"Homo sapiens","PMID":"15661559","AUTHORS":"Marchini S,Marrazzo E,Bonomi R,Chiorino G,Zaffaroni M,Weissbach L,Hornicek FJ,Broggini M,Faircloth GT,D'Incalci M","EXACT_SOURCE":"Suppl. file: CHS & Igrovs with common trend: up","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes up-regulated in chondrosarcoma and ovarian carcinoma cell lines which developed resistance to trabectedin [PubChem=3199].","DESCRIPTION_FULL":"ET-743 (Yondelis(TM), Trabectedin) isolated from the tunicate Ecteinascidia turbinata, is being tested in phase II clinical trials in Europe and the United States of America (USA). Studies with different solid tumours have shown antitumour activity in advanced, pre-treated sarcomas as well as in drug-resistant breast and ovarian cancer. The primary mechanism of action for ET-743 has not been fully elucidated and different models have been suggested to explain its molecular mechanism of action. ET-743 binds tightly to the minor groove of DNA and previous data have suggested that ET-743 acts by interfering with RNA transcription. To further investigate the mechanism of in vitro drug resistance, we evaluated the gene expression profile in ovarian and chondrosarcoma cell lines selected for resistance to ET-743. We found 70 genes whose expression was modulated in both drug-resistant cell lines when compared with their respective parental drug-sensitive cell lines. This pattern of gene expression seems to be selective for ET-743-resistant cells, since ovarian cancer cells resistant to paclitaxel did not share the same gene expression changes. Data presented in this study reveal different molecular pathways that could be involved in the cellular mechanism of ET-743 resistance."}
{"STANDARD_NAME":"BANDRES_RESPONSE_TO_CARMUSTIN_WITHOUT_MGMT_24HR_UP","SYSTEMATIC_NAME":"M6416","ORGANISM":"Homo sapiens","PMID":"15980968","AUTHORS":"Bandres E,Andion E,Escalada A,Honorato B,Catalan V,Cubedo E,Cordeu L,Garcia F,Zarate R,Zabalegui N,Garcia-Foncillas J","EXACT_SOURCE":"Table 2: 24 h Up-regulated","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes up-regulated in A172 cells (glioma, does not express MGMT [GeneID=4255]) by carmustine [PubChem=2578] at 24 h.","DESCRIPTION_FULL":"Chemotherapy with the alkylating agent BCNU (1,3-bis (2-chloroethyl)-1-nitrosourea) is the most commonly used chemotherapeutic agent for gliomas. However, the usefulness of this agent is limited because tumor cell resistance to BCNU is frequently found in clinical brain tumor therapy. The O6-methylguanine-DNA methyltransferase protein (MGMT) reverses alkylation at the O6 position of guanine and we have reported the role of MGMT in the response of brain tumors to alkylating agents. However, the different mechanisms underlying the patterns related to MGMT remain unclear. To better understand the molecular mechanism by which BCNU exerts its effect in glioma cell lines according MGMT expression, we used microarray technology to interrogate 3800 known genes and determine the gene expression profiles altered by BCNU treatment. Our results showed that treatment with BCNU alters the expression of a diverse group of genes in a time-dependent manner. A subset of gene changes was found common in both glioma cell lines and other subset is specific of each cell line. After 24 h of BCNU treatment, up-regulation of transcription factors involved in the nucleation of both RNA polymerase II and III transcription initiation complexes was reported. Interestingly, BCNU promoted the expression of actin-dependent regulators of chromatin. Similar effects were found with higher BCNU doses in MGMT+ cell line showing a similar mechanism that in MGMT-deficient cell with standard doses. Our data suggest that human glioma cell lines treated with BCNU, independently of MGMT expression, show changes in the expression of cell cycle and survival-related genes interfering the transcription mechanisms and the chromatin regulation."}
{"STANDARD_NAME":"WU_HBX_TARGETS_1_DN","SYSTEMATIC_NAME":"M5813","ORGANISM":"Homo sapiens","PMID":"11439330","AUTHORS":"Wu CG,Salvay DM,Forgues M,Valerie K,Farnsworth J,Markin RS,Wang XW","EXACT_SOURCE":"Fig. 3B+D","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes down-regulated by expression of HBV X protein (HBVgp3) [GeneID=944566] in SK-Hep-1 cells (hepatocellular carcinoma).","DESCRIPTION_FULL":"Hepatitis B virus (HBV) is a major risk factor for the development of hepatocellular carcinoma (HCC). HBV encodes the potentially oncogenic HBx protein, which mainly functions as a transcriptional co-activator involving in multiple gene deregulations. However, mechanisms underlying HBx-mediated oncogenicity remain unclear. To determine the role(s) of HBx in the early genesis of HCC, we utilized the NCI Oncochip microarray that contains 2208 human cDNA clones to examine the gene expression profiles in either freshly isolated normal primary adult human hepatocytes (Hhep) or an HCC cell line (SK-Hep-1) ecotopically expressing HBx via an adenoviral system. The gene expression profiles also were determined in liver samples from HBV-infected chronic active hepatitis patients when compared with normal liver samples. The microarray results were validated through Northern blot analysis of the expression of selected genes. Using reciprocally labeling hybridizations, scatterplot analysis of gene expression ratios in human primary hepatocytes expressing HBx demonstrates that microarrays are highly reproducible. The comparison of gene expression profiles between HBx-expressing primary hepatocytes and HBV-infected liver samples shows a consistent alteration of many cellular genes including a subset of oncogenes (such as c-myc and c-myb) and tumor suppressor genes (such as APC, p53, WAF1 and WT1). Furthermore, clustering algorithm analysis showed distinctive gene expression profiles in Hhep and SK-Hep-1 cells. Our findings are consistent with the hypothesis that the deregulation of cellular genes by oncogenic HBx may be an early event that favors hepatocyte proliferation during liver carcinogenesis."}
{"STANDARD_NAME":"SU_SALIVARY_GLAND","SYSTEMATIC_NAME":"M19977","ORGANISM":"Homo sapiens","PMID":"11904358","AUTHORS":"Su AI,Cooke MP,Ching KA,Hakak Y,Walker JR,Wiltshire T,Orth AP,Vega RG,Sapinoso LM,Moqrich A,Patapoutian A,Hampton GM,Schultz PG,Hogenesch JB","GEOID":"GSE96","EXACT_SOURCE":"Table 1S: Max Tissue=Salivary","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes up-regulated specifically in human salivary gland tissue.","DESCRIPTION_FULL":"High-throughput gene expression profiling has become an important tool for investigating transcriptional activity in a variety of biological samples. To date, the vast majority of these experiments have focused on specific biological processes and perturbations. Here, we have generated and analyzed gene expression from a set of samples spanning a broad range of biological conditions. Specifically, we profiled gene expression from 91 human and mouse samples across a diverse array of tissues, organs, and cell lines. Because these samples predominantly come from the normal physiological state in the human and mouse, this dataset represents a preliminary, but substantial, description of the normal mammalian transcriptome. We have used this dataset to illustrate methods of mining these data, and to reveal insights into molecular and physiological gene function, mechanisms of transcriptional regulation, disease etiology, and comparative genomics. Finally, to allow the scientific community to use this resource, we have built a free and publicly accessible website (http://expression.gnf.org) that integrates data visualization and curation of current gene annotations."}
{"STANDARD_NAME":"HENDRICKS_SMARCA4_TARGETS_UP","SYSTEMATIC_NAME":"M15057","ORGANISM":"Homo sapiens","PMID":"14673169","AUTHORS":"Hendricks KB,Shanahan F,Lees E","EXACT_SOURCE":"Table A1: induced","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes up-regulated in ALAB cells (breast cancer) upon reintroduction of SMARCA4 [GeneID=6597] expressed off adenoviral vector.","DESCRIPTION_FULL":"Human BRG1, a subunit of the Swi/Snf chromatin remodeling apparatus, has been implicated in regulation of cellular proliferation and is a candidate tumor suppressor. Reintroduction of BRG1 into a breast tumor cell line, ALAB, carrying a defined mutation in the BRG1 gene, induced growth arrest. Gene expression data revealed that the arrest may in part be accounted for by down-regulation of select E2F target genes such as cyclin E, but more dramatically, by up-regulation of mRNAs for the cyclin-dependent kinase inhibitors p21 and p15. Protein levels of both p15 and p21 were induced, and p21 protein was recruited to a complex with cyclin-dependent kinase, CDK2, to inhibit its activity. BRG1 can associate with the p21 promoter in a p53-independent manner, suggesting that the induction of p21 by BRG1 may be direct. Further, using microarray and real-time PCR analysis we identified several novel BRG1-regulated genes. Our work provides further evidence for a role for BRG1 in the regulation of several genes involved in key steps in tumorigenesis and has revealed a potential mechanism for BRG1-induced growth arrest."}
{"STANDARD_NAME":"ZHENG_RESPONSE_TO_ARSENITE_DN","SYSTEMATIC_NAME":"M1525","ORGANISM":"Homo sapiens","PMID":"12679051","AUTHORS":"Zheng XH,Watts GS,Vaught S,Gandolfi AJ","EXACT_SOURCE":"Table 1B","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Down-regulated in HEK293 cells (kidney epithelium) by treatment with sodium arsenite [PubChem=26435].","DESCRIPTION_FULL":"Chronic, low-level exposure to arsenic frequently results in skin, lung, bladder, and kidney cancer. Since arsenic is primarily excreted via the kidney, this study focused on this target tissue. Gene array was used as a sensitive low-level monitor of the impact of arsenic on this target tissue. Arsenite [As(III)] was chosen as the chemical species of arsenic since As(III) species are touted as the cellular toxic form of arsenic. Human embryonic kidney cell line HEK293 cells were incubated with 1, 10, and 25 microM arsenite [As(III)] for 6 or 24 h. Total RNA from treated and control cells was isolated, reverse transcribed, and labeled with Cy3 or Cy5, and hybridized to a human cDNA microarray. Hybridizations were performed four times using independent total RNA preparations to ensure reproducibility. Raw data from 10 and 25 microM treated cells exposed for 6 h was normalized within, and between, hybridizations followed by identification of genes affected by arsenite exposure based on practical significance (2-fold change up or down) and reproducibility (affected in four of six measurements). In these studies, 20 genes (HMOX1, MT1E, or FOSL1, etc.) were up-regulated, and 19 genes (MYC, JAK1, or CENPE, etc.) were down-regulated. Genes identified at 10 and 25 microM arsenic exposure were then examined after 1 microM treatment for 6 or 24 h. Expression of affected genes showed a dose-dependent (1-25 microM) trend that was apparently not time-dependent (6 vs. 24 h). The affected genes indicate that even this realistic, low-level arsenite exposure was recognized by the HEK293 cells (e.g. metallothionein genes) and produced an oxidative stress (e.g. heme oxygenase gene). These affected genes were characterized as stress response genes, proto-oncogene, signaling molecules, transcription factors, chemokine receptors, proteolytic enzymes, ESTs, and unknown genes. These findings imply that arsenite induces complex cellular injury and the cellular adaptation to As(III) is associated with alterations in the expression of many genes."}
{"STANDARD_NAME":"MURAKAMI_UV_RESPONSE_6HR_DN","SYSTEMATIC_NAME":"M16756","ORGANISM":"Homo sapiens","PMID":"11532376","AUTHORS":"Murakami T,Fujimoto M,Ohtsuki M,Nakagawa H","EXACT_SOURCE":"Table 1: 6 h ratio < 0.8","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes down-regulated in primary keratinocytes at 6 h after UVB irradiation.","DESCRIPTION_FULL":"Ultraviolet B irradiation initiates and promotes skin cancers, photo-aging, and immune suppression. In order to elucidate the effect of these processes at the level of gene expression, we used cDNA microarray technology to examine the effect of ultraviolet B irradiation on 588 cancer-related genes in human keratinocytes at 1, 6, and 24 h post-irradiation with a mildly cytotoxic dose of ultraviolet B (170 mJ/cm(2)). The viability of the irradiated keratinocytes was 75% at 24 h post-irradiation. Various cytokeratins and transcription factors were up-regulated within 1 h post-irradiation. After 6 h, expression of a variety of genes related to growth regulation (e.g. p21(WAF1), notch 4, and smoothened), apoptosis (e.g. caspase 10, hTRIP, and CRAF1), DNA repair (ERCC1, XRCC1), cytokines (e.g. IL-6, IL-13, TGF-beta, and endothelin 2), and cell adhesion (e.g. RhoE, and RhoGDI) were altered in human keratinocytes. These data suggest the changes in a cascade of gene expression in human keratinocytes occurring within 24 h after UVB exposure. Although the roles of these cellular genes after UVB-irradiation remain to be elucidated, microarray analysis may provide a new view of gene expression in epidermal keratinocytes following UVB exposure."}
{"STANDARD_NAME":"CHEN_LVAD_SUPPORT_OF_FAILING_HEART_DN","SYSTEMATIC_NAME":"M7566","ORGANISM":"Homo sapiens","PMID":"12824457","AUTHORS":"Chen Y,Park S,Li Y,Missov E,Hou M,Han X,Hall JL,Miller LW,Bache RJ","GEOID":"GSE430","EXACT_SOURCE":"Table 3S: Fold Change = arrow down","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Down-regulated genesin the left ventricle myocardium of patients with heart failure following implantation of LVAD (left ventricular assist device).","DESCRIPTION_FULL":"Chronic unloading of the failing heart with a left ventricular assist device (LVAD) can decrease cardiac mass and myocyte size and has the potential to improve contractile function. To study the effect of chronic ventricular unloading on myocardial gene expression, a microarray (U133A, Affymetrix) profiling gene expression was compared before and after LVAD support in seven patients with idiopathic dilated cardiomyopathy and end-stage heart failure. On average, 1,374 +/- 155 genes were reported as increased and 1,629 +/- 45 as decreased after LVAD support. A total of 130 gene transcripts achieved the strict criteria for upregulation and 49 gene transcripts for downregulation after LVAD support. Upregulated genes included a large proportion of transcription factors, genes related to cell growth/apoptosis/DNA repair, cell structure proteins, metabolism, and cell signaling/communication. LVAD support resulted in downregulation of genes for a group of cytokines. To validate the array data, 10 altered genes were confirmed by real-time RT-PCR. Further study showed that the phosphoinositide-3-kinase-forkhead protein pathway and proteins related to nitric oxide synthesis, including eNOS and dimethylarginine dimethylaminohydrolase isoform 1 (DDAH1, an enzyme regulating endogenous nitric oxide synthase activity), were significantly increased during the cardiac remodeling process. Increased eNOS and DDAH1 expression after LVAD support may contribute to improved endothelial function of the failing hearts."}
{"STANDARD_NAME":"MARIADASON_RESPONSE_TO_CURCUMIN_SULINDAC_7","SYSTEMATIC_NAME":"M1526","ORGANISM":"Homo sapiens","PMID":"10969808","AUTHORS":"Mariadason JM,Corner GA,Augenlicht LH","EXACT_SOURCE":"Suppl. File 2: cluster 7","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Cluster 7: genes up-regulated in SW260 cells (colon cancer) by curcumin and sulindac [PubChem=969516;5352].","DESCRIPTION_FULL":"The short-chain fatty acid butyrate, produced by microbial fermentation of dietary fiber in the large intestine, is a physiological regulator of major pathways of colonic epithelial cell maturation: cell cycle arrest, lineage-specific differentiation, and apoptosis. Microarray analysis of 8,063 sequences demonstrated a complex cascade of reprogramming of SW620 colonic epithelial cells upon treatment with butyrate characterized by the progressive recruitment of gene sets as a function of time. Comparison with the effects of trichostatin A, in conjunction with differences in the kinetics of alteration of histone acetylation induced by butyrate and trichostatin A, identified subsets of induced and repressed genes likely coordinately regulated by altered histone acetylation. The butyrate response was also compared in detail with that of sulindac, a nonsteroidal anti-inflammatory drug with significant chemopreventive activity for colon cancer, and curcumin, a component of mustard and curry structurally and functionally related to sulindac that also has chemopreventive activity. Although gene clusters were identified that showed similar responses to butyrate and sulindac, the data were characterized by the extensive differences in the effects of the two agents. This was striking for functional classes of genes involved in signaling pathways and in cell cycle progression, although butyrate and sulindac induce a similar G0-G1 arrest, elevation of beta-catenin-Tcf signaling, and apoptotic cascade. As regards cell cycle arrest, the underlying mechanism in response to butyrate was most similar to that of the Caco-2 cell line that had spontaneously undergone a G0-G1 arrest and least similar to the G2-M arrest stimulated by curcumin. Thus, high-throughput microarray analysis of gene expression profiles can be used to characterize and distinguish the mechanisms of response of colonic epithelial cells to physiological and pharmacological inducers of cell maturation. This has important implications for characterization of chemopreventive agents and recognition of potential toxicity and synergies. The data bases, gene clusters, and analyses are available at http:// sequence.aecom.yu.edu/genome/."}
{"STANDARD_NAME":"SESTO_RESPONSE_TO_UV_C4","SYSTEMATIC_NAME":"M9634","ORGANISM":"Homo sapiens","PMID":"11867738","AUTHORS":"Sesto A,Navarro M,Burslem F,Jorcano JL","EXACT_SOURCE":"Table 3S: Cluster=4","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Cluster 4: genes changed in primary keratinocytes by UVB irradiation.","DESCRIPTION_FULL":"UV radiation is the most important environmental skin aggressor, causing cancer and other problems. This paper reports the use of oligonucleotide microarray technology to determine changes in gene expression in human keratinocytes after UVB treatment. Examination of the effects of different doses at different times after irradiation gave a global picture of the keratinocyte response to this type of insult. Five hundred thirty-nine regulated transcripts were found and organized into nine different clusters depending on behavior patterns. Classification of these genes into 23 functional categories revealed that several biological processes are globally affected by UVB. In addition to confirming a majority up-regulation of the transcripts related to the UV-specific inflammatory and stress responses, significant increases were seen in the expression of genes involved in basal transcription, splicing, and translation as well as in the proteasome-mediated degradation category. On the other hand, those transcripts belonging to the metabolism and adhesion categories were strongly downregulated. These results demonstrate the complexity of the transcriptional profile of the UVB response, describe several cellular processes previously not known to be affected by UV irradiation, and serve as a basis for the global characterization of UV-regulated genes and pathways."}
{"STANDARD_NAME":"TRAYNOR_RETT_SYNDROM_DN","SYSTEMATIC_NAME":"M1227","ORGANISM":"Homo sapiens","PMID":"12418965","AUTHORS":"Traynor J,Agarwal P,Lazzeroni L,Francke U","EXACT_SOURCE":"Table 2","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes down-regulated in primary fibroblasts from Rett syndrom patients who carry mutations inactivating MECP2 [GeneID=4204].","DESCRIPTION_FULL":"BACKGROUND: Females with the neurological disorder Rett syndrome are heterozygous for mutations in X-linked MECP2 that encodes methyl-CpG binding protein 2 (MeCP2) thought to act as a transcriptional repressor. To identify target genes for MeCP2 modulation, we studied global gene expression in single cell-derived wild-type and mutant MECP2 expressing fibroblast clones with four common mutations (R106W, R306C, 705delG, 1155del32) and in lymphoblastoid cell lines (LCLs) that included four mutant MeCP2 (T158M, 803delG, R168X and 1159del28) expressing, and five (1159del28, R106W, R255X, 803delG, 803delG) wild-type MeCP2 expressing lines. METHODS: Clonality and mutation status were verified by androgen receptor methylation assays for X-inactivation and by sequencing MECP2 transcripts. Expression studies were done with oligonucleotide microarrays (Affymetrix U95) and verified with real-time quantitative RT-PCR using Sybr Green. RESULTS: Expression of 49 transcripts was increased, and expression of 21 transcripts was decreased, in at least 3 of 4 mutant/wild-type fibroblast comparisons. Transcript levels of 11 genes, determined by quantitative RT-PCR, were highly correlated with the microarray data. Therefore, multiple additional clones from two Rett individuals were tested by RT-PCR only. Striking expression differences were found in both mutant and wildtype MeCP2 expressing clones. Comparing expression profiles of lymphoblastoid cell lines yielded 16 differentially expressed genes. CONCLUSIONS: MeCP2 deficiency does not lead to global deregulation of gene expression. Either MeCP2's in vivo function does not involve widespread transcriptional repression, or its function is redundant in cell types that also express other methyl-CpG binding proteins. Our data suggest that clonal fibroblast strains may show substantial inter-strain variation, making them a difficult and unstable resource for genome-wide expression profiling studies."}
{"STANDARD_NAME":"SESTO_RESPONSE_TO_UV_C6","SYSTEMATIC_NAME":"M4229","ORGANISM":"Homo sapiens","PMID":"11867738","AUTHORS":"Sesto A,Navarro M,Burslem F,Jorcano JL","EXACT_SOURCE":"Table 3S: Cluster=5","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Cluster 6: genes changed in primary keratinocytes by UVB irradiation.","DESCRIPTION_FULL":"UV radiation is the most important environmental skin aggressor, causing cancer and other problems. This paper reports the use of oligonucleotide microarray technology to determine changes in gene expression in human keratinocytes after UVB treatment. Examination of the effects of different doses at different times after irradiation gave a global picture of the keratinocyte response to this type of insult. Five hundred thirty-nine regulated transcripts were found and organized into nine different clusters depending on behavior patterns. Classification of these genes into 23 functional categories revealed that several biological processes are globally affected by UVB. In addition to confirming a majority up-regulation of the transcripts related to the UV-specific inflammatory and stress responses, significant increases were seen in the expression of genes involved in basal transcription, splicing, and translation as well as in the proteasome-mediated degradation category. On the other hand, those transcripts belonging to the metabolism and adhesion categories were strongly downregulated. These results demonstrate the complexity of the transcriptional profile of the UVB response, describe several cellular processes previously not known to be affected by UV irradiation, and serve as a basis for the global characterization of UV-regulated genes and pathways."}
{"STANDARD_NAME":"MCCLUNG_CREB1_TARGETS_DN","SYSTEMATIC_NAME":"M3576","ORGANISM":"Mus musculus","PMID":"14566342","AUTHORS":"McClung CA,Nestler EJ","EXACT_SOURCE":"Table 2S","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes down-regulated in the nucleus accumbens (a major reward center in the brain) 8 weeks after induction of CREB1 [GeneID=1385] expression in a transgenic Tet-Off system.","DESCRIPTION_FULL":"DeltaFosB (a truncated form of FosB) and CREB (cAMP response element binding protein) are transcription factors induced in the brain's reward pathways after chronic exposure to drugs of abuse. However, their mechanisms of action and the genes they regulate remain unclear. Using microarray analysis in the nucleus accumbens of inducible transgenic mice, we found that CREB and a dominant-negative CREB have opposite effects on gene expression, as do prolonged expression of DeltaFosB and the activator protein-1 (AP-1) antagonist DeltacJun. However, unlike CREB, short-term and prolonged DeltaFosB induction had opposing effects on gene expression. Gene expression induced by short-term DeltaFosB and by CREB was strikingly similar, and both reduced the rewarding effects of cocaine, whereas prolonged DeltaFosB expression increased drug reward. Gene expression after a short cocaine treatment was more dependent on CREB, whereas gene expression after a longer cocaine treatment became increasingly DeltaFosB dependent. These findings help define the molecular functions of CREB and DeltaFosB and identify clusters of genes that contribute to cocaine addiction."}
{"STANDARD_NAME":"SUZUKI_RESPONSE_TO_TSA_AND_DECITABINE_1B","SYSTEMATIC_NAME":"M1530","ORGANISM":"Homo sapiens","PMID":"11992124","AUTHORS":"Suzuki H,Gabrielson E,Chen W,Anbazhagan R,van Engeland M,Weijenberg MP,Herman JG,Baylin SB","EXACT_SOURCE":"Table 1: Group 1b","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes with some basal expression and partially methylated promoters, up-regulated by the combination of TSA and decitabine [PubChem=5562;451668] in RKO cells (colorectal cancer).","DESCRIPTION_FULL":"Aberrant hypermethylation of gene promoters is a major mechanism associated with inactivation of tumor-suppressor genes in cancer. We previously showed this transcriptional silencing to be mediated by both methylation and histone deacetylase activity, with methylation being dominant. Here, we have used cDNA microarray analysis to screen for genes that are epigenetically silenced in human colorectal cancer. By screening over 10,000 genes, we show that our approach can identify a substantial number of genes with promoter hypermethylation in a given cancer; these are distinct from genes with unmethylated promoters, for which increased expression is produced by histone deacetylase inhibition alone. Many of the hypermethylated genes we identified have high potential for roles in tumorigenesis by virtue of their predicted function and chromosome position. We also identified a group of genes that are preferentially hypermethylated in colorectal cancer and gastric cancer. One of these genes, SFRP1, belongs to a gene family; we show that hypermethylation of four genes in this family occurs very frequently in colorectal cancer, providing for (i) a unique potential mechanism for loss of tumor-suppressor gene function and (ii) construction of a molecular marker panel that could detect virtually all colorectal cancer."}
{"STANDARD_NAME":"SESTO_RESPONSE_TO_UV_C2","SYSTEMATIC_NAME":"M2589","ORGANISM":"Homo sapiens","PMID":"11867738","AUTHORS":"Sesto A,Navarro M,Burslem F,Jorcano JL","EXACT_SOURCE":"Table 3S: Cluster=2","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Cluster 2: genes changed in primary keratinocytes by UVB irradiation.","DESCRIPTION_FULL":"UV radiation is the most important environmental skin aggressor, causing cancer and other problems. This paper reports the use of oligonucleotide microarray technology to determine changes in gene expression in human keratinocytes after UVB treatment. Examination of the effects of different doses at different times after irradiation gave a global picture of the keratinocyte response to this type of insult. Five hundred thirty-nine regulated transcripts were found and organized into nine different clusters depending on behavior patterns. Classification of these genes into 23 functional categories revealed that several biological processes are globally affected by UVB. In addition to confirming a majority up-regulation of the transcripts related to the UV-specific inflammatory and stress responses, significant increases were seen in the expression of genes involved in basal transcription, splicing, and translation as well as in the proteasome-mediated degradation category. On the other hand, those transcripts belonging to the metabolism and adhesion categories were strongly downregulated. These results demonstrate the complexity of the transcriptional profile of the UVB response, describe several cellular processes previously not known to be affected by UV irradiation, and serve as a basis for the global characterization of UV-regulated genes and pathways."}
{"STANDARD_NAME":"HEDENFALK_BREAST_CANCER_BRACX_UP","SYSTEMATIC_NAME":"M6669","ORGANISM":"Homo sapiens","PMID":"12610208","AUTHORS":"Hedenfalk I,Ringner M,Ben-Dor A,Yakhini Z,Chen Y,Chebil G,Ach R,Loman N,Olsson H,Meltzer P,Borg A,Trent J","EXACT_SOURCE":"Fig 1a: red in Group A","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Up-regulated genes distinguishing between two groups of non-BRCA1/BRCA2 [GeneID=672;675] breast tumors (BRACx): group A vs group B.","DESCRIPTION_FULL":"In the decade since their discovery, the two major breast cancer susceptibility genes BRCA1 and BRCA2, have been shown conclusively to be involved in a significant fraction of families segregating breast and ovarian cancer. However, it has become equally clear that a large proportion of families segregating breast cancer alone are not caused by mutations in BRCA1 or BRCA2. Unfortunately, despite intensive effort, the identification of additional breast cancer predisposition genes has so far been unsuccessful, presumably because of genetic heterogeneity, low penetrance, or recessive/polygenic mechanisms. These non-BRCA1/2 breast cancer families (termed BRCAx families) comprise a histopathologically heterogeneous group, further supporting their origin from multiple genetic events. Accordingly, the identification of a method to successfully subdivide BRCAx families into recognizable groups could be of considerable value to further genetic analysis. We have previously shown that global gene expression analysis can identify unique and distinct expression profiles in breast tumors from BRCA1 and BRCA2 mutation carriers. Here we show that gene expression profiling can discover novel classes among BRCAx tumors, and differentiate them from BRCA1 and BRCA2 tumors. Moreover, microarray-based comparative genomic hybridization (CGH) to cDNA arrays revealed specific somatic genetic alterations within the BRCAx subgroups. These findings illustrate that, when gene expression-based classifications are used, BRCAx families can be grouped into homogeneous subsets, thereby potentially increasing the power of conventional genetic analysis."}
{"STANDARD_NAME":"GEISS_RESPONSE_TO_DSRNA_DN","SYSTEMATIC_NAME":"M19944","ORGANISM":"Homo sapiens","PMID":"11487589","AUTHORS":"Geiss G,Jin G,Guo J,Bumgarner R,Katze MG,Sen GC","EXACT_SOURCE":"Table 2","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes down-pregulated by dsRNA in GRE cells (glioma; no interferon system).","DESCRIPTION_FULL":"Double-stranded (ds) RNA, a common component of virus-infected cells, is a potent inducer of the type I interferon and other cellular genes. For identifying the full repertoire of human dsRNA-regulated genes, a cDNA microarray hybridization screening was conducted using mRNA from dsRNA-treated GRE cells. Because these cells lack all type I interferon genes, the possibility of gene induction by autocrine actions of interferon was eliminated. Our screen identified 175 dsRNA-stimulated genes (DSG) and 95 dsRNA-repressed genes. A subset of the DSGs was also induced by different inflammatory cytokines and viruses demonstrating interconnections among disparate signaling pathways. Functionally, the DSGs encode proteins involved in signaling, apoptosis, RNA synthesis, protein synthesis and processing, cell metabolism, transport, and structure. Induction of such a diverse family of genes by dsRNA has major implications in host-virus interactions and in the use of RNA(i) technology for functional ablation of specific genes."}
{"STANDARD_NAME":"VIETOR_IFRD1_TARGETS","SYSTEMATIC_NAME":"M1534","ORGANISM":"Mus musculus","PMID":"12198164","AUTHORS":"Vietor I,Vadivelu SK,Wick N,Hoffman R,Cotten M,Seiser C,Fialka I,Wunderlich W,Haase A,Korinkova G,Brosch G,Huber LA","EXACT_SOURCE":"Table 1: Diff. expression =< -1.5","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes down-regulated in c-JunER cells (mammary gland epithelum) by overexpression of IFRD1 [GeneID=3475] off an adenovirus vector.","DESCRIPTION_FULL":"The mammalian SIN3 complex consists of histone deacetylases (HDAC1, HDAC2), several known proteins (SAP30, N-CoR) and as yet unidentified proteins. Here we show that the mouse tetradecanoyl phorbol acetate induced sequence 7 (TIS7) protein is a novel transcriptional co-repressor that can associate with the SIN3 complex. We have identified tis7 as a gene that is up-regulated upon loss of polarity in a mouse mammary gland epithelial cell line expressing an estrogen-inducible c-JunER fusion protein. In unpolarized cells, TIS7 protein levels increase and TIS7 translocates into the nucleus. Overexpression of tis7 causes loss of polarity and represses a set of genes, as revealed by cDNA microarray analysis. We have shown that TIS7 protein interacts with several proteins of the SIN3 complex (mSin3B, HDAC1, N-CoR and SAP30) by yeast two-hybrid screening and co-immunoprecipitations. TIS7 co-immunoprecipitated HDAC complex is enzymatically active and represses a GAL4-dependent reporter transcription. The transcriptional repression of endogenous genes by tis7 overexpression is HDAC dependent. Thus, we propose TIS7 as a transcriptional co-repressor affecting the expression of specific genes in a HDAC activity-dependent manner during cell fate decisions, e.g. scattering."}
{"STANDARD_NAME":"HEDENFALK_BREAST_CANCER_BRACX_DN","SYSTEMATIC_NAME":"M8941","ORGANISM":"Homo sapiens","PMID":"12610208","AUTHORS":"Hedenfalk I,Ringner M,Ben-Dor A,Yakhini Z,Chen Y,Chebil G,Ach R,Loman N,Olsson H,Meltzer P,Borg A,Trent J","EXACT_SOURCE":"Fig 1a: green in Group A","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Down-regulated genes distinguishing between two groups of non-BRCA1/BRCA2 [GeneID=672;675] breast tumors (BRACx): group A vs group B.","DESCRIPTION_FULL":"In the decade since their discovery, the two major breast cancer susceptibility genes BRCA1 and BRCA2, have been shown conclusively to be involved in a significant fraction of families segregating breast and ovarian cancer. However, it has become equally clear that a large proportion of families segregating breast cancer alone are not caused by mutations in BRCA1 or BRCA2. Unfortunately, despite intensive effort, the identification of additional breast cancer predisposition genes has so far been unsuccessful, presumably because of genetic heterogeneity, low penetrance, or recessive/polygenic mechanisms. These non-BRCA1/2 breast cancer families (termed BRCAx families) comprise a histopathologically heterogeneous group, further supporting their origin from multiple genetic events. Accordingly, the identification of a method to successfully subdivide BRCAx families into recognizable groups could be of considerable value to further genetic analysis. We have previously shown that global gene expression analysis can identify unique and distinct expression profiles in breast tumors from BRCA1 and BRCA2 mutation carriers. Here we show that gene expression profiling can discover novel classes among BRCAx tumors, and differentiate them from BRCA1 and BRCA2 tumors. Moreover, microarray-based comparative genomic hybridization (CGH) to cDNA arrays revealed specific somatic genetic alterations within the BRCAx subgroups. These findings illustrate that, when gene expression-based classifications are used, BRCAx families can be grouped into homogeneous subsets, thereby potentially increasing the power of conventional genetic analysis."}
{"STANDARD_NAME":"JIANG_AGING_HYPOTHALAMUS_DN","SYSTEMATIC_NAME":"M1535","ORGANISM":"Mus musculus","PMID":"11172053","AUTHORS":"Jiang CH,Tsien JZ,Schultz PG,Hu Y","EXACT_SOURCE":"Table 1, 3S: FC < -2","CHIP":"AFFY_Mu11K","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Down-regulated in the hypothalamus of aged (22 months) BALB/c mice, compared to young (2 months) controls","DESCRIPTION_FULL":"A better understanding of the molecular effects of aging in the brain may help to reveal important aspects of organismal aging, as well as processes that lead to age-related brain dysfunction. In this study, we have examined differences in gene expression in the hypothalamus and cortex of young and aged mice by using high-density oligonucleotide arrays. A number of key genes involved in neuronal structure and signaling are differentially expressed in both the aged hypothalamus and cortex, including synaptotagmin I, cAMP-dependent protein kinase C beta, apolipoprotein E, protein phosphatase 2A, and prostaglandin D. Misregulation of these proteins may contribute to age-related memory deficits and neurodegenerative diseases. In addition, many proteases that play essential roles in regulating neuropeptide metabolism, amyloid precursor protein processing, and neuronal apoptosis are up-regulated in the aged brain and likely contribute significantly to brain aging. Finally, a subset of these genes whose expression is affected by aging are oppositely affected by exposure of mice to an enriched environment, suggesting that these genes may play important roles in learning and memory."}
{"STANDARD_NAME":"MARIADASON_RESPONSE_TO_BUTYRATE_CURCUMIN_SULINDAC_TSA_8","SYSTEMATIC_NAME":"M1537","ORGANISM":"Homo sapiens","PMID":"10969808","AUTHORS":"Mariadason JM,Corner GA,Augenlicht LH","EXACT_SOURCE":"Suppl. File 2: cluster 8","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Cluster 8: genes down-regulated in SW260 cells (colon cancer) by sodium butyrate, curcumin, sulindac and TSA [PubChem=5222465;969516;5352;5562].","DESCRIPTION_FULL":"The short-chain fatty acid butyrate, produced by microbial fermentation of dietary fiber in the large intestine, is a physiological regulator of major pathways of colonic epithelial cell maturation: cell cycle arrest, lineage-specific differentiation, and apoptosis. Microarray analysis of 8,063 sequences demonstrated a complex cascade of reprogramming of SW620 colonic epithelial cells upon treatment with butyrate characterized by the progressive recruitment of gene sets as a function of time. Comparison with the effects of trichostatin A, in conjunction with differences in the kinetics of alteration of histone acetylation induced by butyrate and trichostatin A, identified subsets of induced and repressed genes likely coordinately regulated by altered histone acetylation. The butyrate response was also compared in detail with that of sulindac, a nonsteroidal anti-inflammatory drug with significant chemopreventive activity for colon cancer, and curcumin, a component of mustard and curry structurally and functionally related to sulindac that also has chemopreventive activity. Although gene clusters were identified that showed similar responses to butyrate and sulindac, the data were characterized by the extensive differences in the effects of the two agents. This was striking for functional classes of genes involved in signaling pathways and in cell cycle progression, although butyrate and sulindac induce a similar G0-G1 arrest, elevation of beta-catenin-Tcf signaling, and apoptotic cascade. As regards cell cycle arrest, the underlying mechanism in response to butyrate was most similar to that of the Caco-2 cell line that had spontaneously undergone a G0-G1 arrest and least similar to the G2-M arrest stimulated by curcumin. Thus, high-throughput microarray analysis of gene expression profiles can be used to characterize and distinguish the mechanisms of response of colonic epithelial cells to physiological and pharmacological inducers of cell maturation. This has important implications for characterization of chemopreventive agents and recognition of potential toxicity and synergies. The data bases, gene clusters, and analyses are available at http:// sequence.aecom.yu.edu/genome/."}
{"STANDARD_NAME":"CHIBA_RESPONSE_TO_TSA_UP","SYSTEMATIC_NAME":"M10372","ORGANISM":"Homo sapiens","PMID":"15452378","AUTHORS":"Chiba T,Yokosuka O,Fukai K,Kojima H,Tada M,Arai M,Imazeki F,Saisho H","EXACT_SOURCE":"Table 2","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Cancer related genes up-regulated in any of four hepatoma cell lines following 24 h treatment with TSA [PubChem=5562].","DESCRIPTION_FULL":"OBJECTIVE: Histone deacetylase (HDAC) inhibitors have been reported to induce cell growth arrest, apoptosis and differentiation in tumor cells. The effect of the HDAC inhibitor, trichostatin A (TSA), on hepatoma cells, however, has not been well studied. In this study, we examined cell viability and gene expression profile in hepatoma cell lines treated with TSA. METHODS: To study cell growth inhibition and induction of apoptosis by TSA on human hepatoma cell lines including HuH7, Hep3B, HepG2, and PLC/PRF/5, cells were treated with TSA at various concentrations and analyzed by the 3-(4, 5-dimethyl-2-thiazolyl)-2H-tetrazolium bromide (MTT) and TUNEL assays, respectively. Changes in gene expression profile after exposure to TSA were assessed using a cDNA microarray consisting of 557 distinct cDNA of cancer-related genes. The levels of acetylated histones were examined by the chromatin immunoprecipitation (ChIP) assay using anti-acetylated histone H3 or H4 antibody. RESULTS: The MTT assay demonstrated that TSA showed cell growth inhibition not only in a concentration-dependent but also a time-dependent manner on all cell lines studied. The TUNEL assay also revealed the potential of TSA to induce apoptosis. The microarray analysis revealed that 8 genes including collagen type 1, alpha2 (COL1A2), insulin-like growth factor binding protein 2 (IGFBP2), integrin, alpha7 (ITGA7), basigin (BSG), quiescin Q6 (QSCN6), superoxide dismutase 3, extracellular (SOD3), nerve growth factor receptor (NGFR), and p53-induced protein (PIG11) exhibited substantial induction (ratio >2.0) after TSA treatment in multiple cell lines. ChIP assay, in general, showed a good correlation between the expression level of mRNA and levels of acetylated histones in these upregulated genes. CONCLUSIONS: This study showed cell growth inhibition and the gene expression profile in hepatoma cell lines exposed to TSA. The alteration in levels of acetylated histones was closely associated with expression of specific cancer-related genes in hepatoma cells."}
{"STANDARD_NAME":"RAMASWAMY_METASTASIS_DN","SYSTEMATIC_NAME":"M16963","ORGANISM":"Homo sapiens","PMID":"12469122","AUTHORS":"Ramaswamy S,Ross KN,Lander ES,Golub TR","EXACT_SOURCE":"Suppl. File F: Original distinction=T","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Down-regulated genes in metastatic vs primary solid tumors.","DESCRIPTION_FULL":"Metastasis is the principal event leading to death in individuals with cancer, yet its molecular basis is poorly understood. To explore the molecular differences between human primary tumors and metastases, we compared the gene-expression profiles of adenocarcinoma metastases of multiple tumor types to unmatched primary adenocarcinomas. We found a gene-expression signature that distinguished primary from metastatic adenocarcinomas. More notably, we found that a subset of primary tumors resembled metastatic tumors with respect to this gene-expression signature. We confirmed this finding by applying the expression signature to data on 279 primary solid tumors of diverse types. We found that solid tumors carrying the gene-expression signature were most likely to be associated with metastasis and poor clinical outcome (P < 0.03). These results suggest that the metastatic potential of human tumors is encoded in the bulk of a primary tumor, thus challenging the notion that metastases arise from rare cells within a primary tumor that have the ability to metastasize."}
{"STANDARD_NAME":"MODY_HIPPOCAMPUS_NEONATAL","SYSTEMATIC_NAME":"M7409","ORGANISM":"Mus musculus","PMID":"11438693","AUTHORS":"Mody M,Cao Y,Cui Z,Tay KY,Shyong A,Shimizu E,Pham K,Schultz P,Welsh D,Tsien JZ","EXACT_SOURCE":"Table 2S","CHIP":"AFFY_Mu11K","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes highly expressed in the neonatal hippocampus (clusters 4 and 8).","DESCRIPTION_FULL":"We have analyzed the developmental molecular programs of the mouse hippocampus, a cortical structure critical for learning and memory, by means of large-scale DNA microarray techniques. Of 11,000 genes and expressed sequence tags examined, 1,926 showed dynamic changes during hippocampal development from embryonic day 16 to postnatal day 30. Gene-cluster analysis was used to group these genes into 16 distinct clusters with striking patterns that appear to correlate with major developmental hallmarks and cellular events. These include genes involved in neuronal proliferation, differentiation, and synapse formation. A complete list of the transcriptional changes has been compiled into a comprehensive gene profile database (http://BrainGenomics.Princeton.edu), which should prove valuable in advancing our understanding of the molecular and genetic programs underlying both the development and the functions of the mammalian brain."}
{"STANDARD_NAME":"MCCLUNG_COCAINE_REWARD_5D","SYSTEMATIC_NAME":"M1539","ORGANISM":"Mus musculus","PMID":"14566342","AUTHORS":"McClung CA,Nestler EJ","EXACT_SOURCE":"Table 12S","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes up-regulated in the nucleus accumbens (a major reward center in the brain) after 5 days of cocaine [PubChem=5760] treatment.","DESCRIPTION_FULL":"DeltaFosB (a truncated form of FosB) and CREB (cAMP response element binding protein) are transcription factors induced in the brain's reward pathways after chronic exposure to drugs of abuse. However, their mechanisms of action and the genes they regulate remain unclear. Using microarray analysis in the nucleus accumbens of inducible transgenic mice, we found that CREB and a dominant-negative CREB have opposite effects on gene expression, as do prolonged expression of DeltaFosB and the activator protein-1 (AP-1) antagonist DeltacJun. However, unlike CREB, short-term and prolonged DeltaFosB induction had opposing effects on gene expression. Gene expression induced by short-term DeltaFosB and by CREB was strikingly similar, and both reduced the rewarding effects of cocaine, whereas prolonged DeltaFosB expression increased drug reward. Gene expression after a short cocaine treatment was more dependent on CREB, whereas gene expression after a longer cocaine treatment became increasingly DeltaFosB dependent. These findings help define the molecular functions of CREB and DeltaFosB and identify clusters of genes that contribute to cocaine addiction."}
{"STANDARD_NAME":"KAYO_AGING_MUSCLE_UP","SYSTEMATIC_NAME":"M16050","ORGANISM":"Macaca mulatta","PMID":"11309484","AUTHORS":"Kayo T,Allison DB,Weindruch R,Prolla TA","EXACT_SOURCE":"Table 6S","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Upregulated in the vastus lateralis muscle of aged vs young adult rhesus monkeys","DESCRIPTION_FULL":"In laboratory rodents, caloric restriction (CR) retards several age-dependent physiological and biochemical changes in skeletal muscle, including increased steady-state levels of oxidative damage to lipids, DNA, and proteins. We have previously used high-density oligonucleotide arrays to show that CR can prevent or delay most of the major age-related transcriptional alterations in the gastrocnemius muscle of C57BL/6 mice. Here we report the effects of aging and adult-onset CR on the gene expression profile of 7,070 genes in the vastus lateralis muscle from rhesus monkeys. Gene expression analysis of aged rhesus monkeys (mean age of 26 years) was compared with that of young animals (mean age of 8 years). Aging resulted in a selective up-regulation of transcripts involved in inflammation and oxidative stress, and a down-regulation of genes involved in mitochondrial electron transport and oxidative phosphorylation. Middle-aged monkeys (mean age of 20 years) subjected to CR since early adulthood (mean age of 11 years) were studied to determine the gene expression profile induced by CR. CR resulted in an up-regulation of cytoskeletal protein-encoding genes, and also a decrease in the expression of genes involved in mitochondrial bioenergetics. Surprisingly, we did not observe any evidence for an inhibitory effect of adult-onset CR on age-related changes in gene expression. These results indicate that the induction of an oxidative stress-induced transcriptional response may be a common feature of aging in skeletal muscle of rodents and primates, but the extent to which CR modifies these responses may be species-specific."}
{"STANDARD_NAME":"VISALA_RESPONSE_TO_HEAT_SHOCK_AND_AGING_UP","SYSTEMATIC_NAME":"M1540","ORGANISM":"Homo sapiens","PMID":"12618007","AUTHORS":"Visala Rao D,Boyle GM,Parsons PG,Watson K,Jones GL","EXACT_SOURCE":"Table 1: increase in old","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes up-regulated after heat shock in peripheral lympocytes from old donors, compared to those from the young ones.","DESCRIPTION_FULL":"Ageing results in a progressive, intrinsic and generalised imbalance of the control of regulatory systems. A key manifestation of this complex biological process includes the attenuation of the universal stress response. Here we provide the first global assessment of the ageing process as it affects the heat shock response, utilising human peripheral lymphocytes and cDNA microarray analysis. The genomic approach employed in our preliminary study was supplemented with a proteomic approach. In addition, the current study correlates the in vivo total antioxidant status with the age-related differential gene expression as well as the translational kinetics of heat shock proteins (hsps). Most of the genes encoding stress response proteins on the 4224 element microarray used in this study were significantly elevated after heat shock treatment of lymphocytes obtained from both young and old individuals albeit to a greater extent in the young. Cell signaling and signal transduction genes as well as some oxidoreductases showed varied response. Results from translational kinetics of induction of major hsps, from 0 to 24 h recovery period were broadly consistent with the differential expression of HSC 70 and HSP 40 genes. Total antioxidant levels in plasma from old individuals were found to be significantly lower by comparison with young, in agreement with the widely acknowledged role of oxidant homeostasis in the ageing process."}
{"STANDARD_NAME":"DELASERNA_MYOD_TARGETS_DN","SYSTEMATIC_NAME":"M1541","ORGANISM":"Mus musculus","PMID":"15870273","AUTHORS":"de la Serna IL,Ohkawa Y,Berkes CA,Bergstrom DA,Dacwag CS,Tapscott SJ,Imbalzano AN","EXACT_SOURCE":"Table 1S: Fold Change Due to MyoD =< -2","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes down-regulated in NIH 3T3 cells (fibroblasts) 24 h after inducing MyoD [GeneID=4654] differentiation program.","DESCRIPTION_FULL":"The activation of muscle-specific gene expression requires the coordinated action of muscle regulatory proteins and chromatin-remodeling enzymes. Microarray analysis performed in the presence or absence of a dominant-negative BRG1 ATPase demonstrated that approximately one-third of MyoD-induced genes were highly dependent on SWI/SNF enzymes. To understand the mechanism of activation, we performed chromatin immunoprecipitations analyzing the myogenin promoter. We found that H4 hyperacetylation preceded Brg1 binding in a MyoD-dependent manner but that MyoD binding occurred subsequent to H4 modification and Brg1 interaction. In the absence of functional SWI/SNF enzymes, muscle regulatory proteins did not bind to the myogenin promoter, thereby providing evidence for SWI/SNF-dependent activator binding. We observed that the homeodomain factor Pbx1, which cooperates with MyoD to stimulate myogenin expression, is constitutively bound to the myogenin promoter in a SWI/SNF-independent manner, suggesting a two-step mechanism in which MyoD initially interacts indirectly with the myogenin promoter and attracts chromatin-remodeling enzymes, which then facilitate direct binding by MyoD and other regulatory proteins."}
{"STANDARD_NAME":"YAMAZAKI_TCEB3_TARGETS_UP","SYSTEMATIC_NAME":"M1542","ORGANISM":"Mus musculus","PMID":"12604609","AUTHORS":"Yamazaki K,Aso T,Ohnishi Y,Ohno M,Tamura K,Shuin T,Kitajima S,Nakabeppu Y","EXACT_SOURCE":"Table 2S","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes up-regulated in embryonic stem cells from TCEB3 [GeneID=6924] knockout mice.","DESCRIPTION_FULL":"Elongin A is a transcription elongation factor that increases the overall rate of mRNA chain elongation by RNA polymerase II. To investigate the function of Elongin A in vivo, the two alleles of the Elongin A gene have been disrupted by homologous recombination in murine embryonic stem (ES) cells. The Elongin A-deficient ES cells are viable, but show a slow growth phenotype because they undergo a delayed mitosis. The cDNA microarray and RNase protection assay using the wild-type and Elongin A-deficient ES cells indicate that the expression of only a small subset of genes is affected in the mutant cells. Taken together, our results suggest that Elongin A regulates transcription of a subset but not all of genes and reveal a linkage between Elongin A function and cell cycle progression."}
{"STANDARD_NAME":"HU_GENOTOXIN_ACTION_DIRECT_VS_INDIRECT_24HR","SYSTEMATIC_NAME":"M1543","ORGANISM":"Mus musculus","PMID":"15120960","AUTHORS":"Hu T,Gibson DP,Carr GJ,Torontali SM,Tiesman JP,Chaney JG,Aardema MJ","EXACT_SOURCE":"Table 5","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes discriminating between direct (cisplatin, MMS, mitomycin C [PubChem=2767;4156;5746]) and indirect (paclitaxel, hydroxyurea, etoposide [PubChem=4666;3657;36462]) acting genotoxins at 24 h time point.","DESCRIPTION_FULL":"During the safety evaluation process of new drugs and chemicals, a battery of genotoxicity tests is conducted starting with in vitro genotoxicity assays. Obtaining positive results in in vitro genotoxicity tests is not uncommon. Follow-up studies to determine the biological relevance of positive genotoxicity results are costly, time consuming, and utilize animals. More efficient methods, especially for identifying a putative mode of action like an indirect mechanism of genotoxicity (where DNA molecules are not the initial primary targets), would greatly improve the risk assessment for genotoxins. To this end, we are participating in an International Life Sciences Institute (ILSI) project involving studies of gene expression changes caused by model genotoxins. The purpose of the work is to evaluate gene expression tools in general, and specifically for discriminating genotoxins that are direct-acting from indirect-acting. Our lab has evaluated gene expression changes as well as micronuclei (MN) in L5178Y TK(+/-) mouse lymphoma cells treated with six compounds. Direct-acting genotoxins (where DNA is the initial primary target) that were evaluated included the DNA crosslinking agents, mitomycin C (MMC) and cisplatin (CIS), and an alkylating agent, methyl methanesulfonate (MMS). Indirect-acting genotoxins included hydroxyurea (HU), a ribonucleotide reductase inhibitor, taxol (TXL), a microtubule inhibitor, and etoposide (ETOP), a DNA topoisomerase II inhibitor. Microarray gene expression analysis was conducted using Affymetrix mouse oligonucleotide arrays on RNA samples derived from cells which were harvested immediately after the 4 h chemical treatment, and 20 h after the 4 h chemical treatment. The evaluation of these experimental results yields evidence of differentially regulated genes at both 4 and 24 h time points that appear to have discriminating power for direct versus indirect genotoxins, and therefore may serve as a fingerprint for classifying chemicals when their mechanism of action is unknown."}
{"STANDARD_NAME":"JIANG_VHL_TARGETS","SYSTEMATIC_NAME":"M18850","ORGANISM":"Homo sapiens","PMID":"12692265","AUTHORS":"Jiang Y,Zhang W,Kondo K,Klco JM,St Martin TB,Dufault MR,Madden SL,Kaelin WG Jr,Nacht M","EXACT_SOURCE":"Table 1S-2S: 116 genes + 38 genes","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes up-regulated in 786-0 cells (renal carcinoma, RCC) upon expression of VHL [GeneID=7428] off a retroviral vector under normoxia (normal oxygen) condition.","DESCRIPTION_FULL":"The von Hippel-Lindau tumor suppressor, pVHL, is a key player in one of the best characterized hypoxia signaling pathways, the VHL-hypoxia-inducible factor (VHL-HIF) pathway. To better understand the role of VHL in the hypoxia signaling pathways of tumor cells, we used serial analysis of gene expression (SAGE) to investigate hypoxia-regulated gene expression in renal carcinoma cells (786-0), with and without VHL. The gene expression profiles of the cancer cells were compared to SAGE profiles from normal renal proximal tubule cells grown under both normoxia and hypoxia. The data suggest that the role of VHL as a tumor suppressor may be more complex than previously thought. Further, the data reveal that renal carcinoma cells have evolved an alternative hypoxia signaling pathway(s) compared with normal renal cells. These alternative hypoxia pathways demonstrate VHL-dependent and VHL-independent regulation. The genes involved in such pathways include those with potential importance in the physiological and pathological regulation of tumor growth and angiogenesis. Some of the genes identified as showing overexpression in the cancer cells, particularly those encoding secreted or membrane-bound proteins, could be potential biomarkers for tumors or targets for rational therapeutics that are dependent on VHL status."}
{"STANDARD_NAME":"MACLACHLAN_BRCA1_TARGETS_DN","SYSTEMATIC_NAME":"M10593","ORGANISM":"Homo sapiens","PMID":"10644742","AUTHORS":"MacLachlan TK,Somasundaram K,Sgagias M,Shifman Y,Muschel RJ,Cowan KH,El-Deiry WS","EXACT_SOURCE":"Table 1: Repressed genes","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes down-regulated in SW480 cells (colon cancer with mutated p53 [GeneID=7157]) upon expression of BRCA1 [GeneID=672] off an adenovirus vector.","DESCRIPTION_FULL":"The breast and ovarian cancer susceptibility gene product BRCA1 has been reported to be expressed in a cell cycle-dependent manner; possess transcriptional activity; associate with several proteins, including the p53 tumor suppressor; and play an integral role in certain types of DNA repair. We show here that ectopic expression of BRCA1 using an adenovirus vector (Ad-BRCA1) leads to dephosphorylation of the retinoblastoma protein accompanied by a decrease in cyclin-dependent kinase activity. Flow cytometric analysis on Ad-BRCA1-infected cells revealed a G(1) or G(2) phase accumulation. High density cDNA array screening of colon, lung, and breast cancer cells identified several genes affected by BRCA1 expression in a p53-independent manner, including DNA damage response genes and genes involved in cell cycle control. Notable changes included induction of the GADD45 and GADD153 genes and a reduction in cyclin B1 expression. Therefore, BRCA1 has the potential to modulate the expression of genes and function of proteins involved in cell cycle control and DNA damage response pathways."}
{"STANDARD_NAME":"LEE_AGING_CEREBELLUM_DN","SYSTEMATIC_NAME":"M1544","ORGANISM":"Mus musculus","PMID":"10888876","AUTHORS":"Lee CK,Weindruch R,Prolla TA","EXACT_SOURCE":"Table 6S","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Downregulated in the cerebellum of aged adult mice (30-month) vs young adult (5-month)","DESCRIPTION_FULL":"Ageing of the brain leads to impairments in cognitive and motor skills, and is the major risk factor for several common neurological disorders such as Alzheimer disease (AD) and Parkinson disease (PD). Recent studies suggest that normal brain ageing is associated with subtle morphological and functional alterations in specific neuronal circuits, as opposed to large-scale neuronal loss. In fact, ageing of the central nervous system in diverse mammalian species shares many features, such as atrophy of pyramidal neurons, synaptic atrophy, decrease of striatal dopamine receptors, accumulation of fluorescent pigments, cytoskeletal abnormalities, and reactive astrocytes and microglia. To provide the first global analysis of brain ageing at the molecular level, we used oligonucleotide arrays representing 6,347 genes to determine the gene-expression profile of the ageing neocortex and cerebellum in mice. Ageing resulted in a gene-expression profile indicative of an inflammatory response, oxidative stress and reduced neurotrophic support in both brain regions. At the transcriptional level, brain ageing in mice displays parallels with human neurodegenerative disorders. Caloric restriction, which retards the ageing process in mammals, selectively attenuated the age-associated induction of genes encoding inflammatory and stress responses."}
{"STANDARD_NAME":"EHRLICH_ICF_SYNDROM_UP","SYSTEMATIC_NAME":"M5053","ORGANISM":"Homo sapiens","PMID":"11741835","AUTHORS":"Ehrlich M,Buchanan KL,Tsien F,Jiang G,Sun B,Uicker W,Weemaes CM,Smeets D,Sperling K,Belohradsky BH,Tommerup N,Misek DE,Rouillard JM,Kuick R,Hanash SM","EXACT_SOURCE":"Table 2-4: FC > 0","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Up-regulated in B lymphocytes from patients with ICF syndrom caused by mutations in DNMT3B [GeneID=1789] compared to normals.","DESCRIPTION_FULL":"ICF (immunodeficiency, centromeric region instability and facial anomalies) is a recessive disease caused by mutations in the DNA methyltransferase 3B gene (DNMT3B). Patients have immunodeficiency, chromosome 1 (Chr1) and Chr16 pericentromeric anomalies in mitogen-stimulated lymphocytes, a small decrease in overall genomic 5-methylcytosine levels and much hypomethylation of Chr1 and Chr16 juxtacentromeric heterochromatin. Microarray expression analysis was done on B-cell lymphoblastoid cell lines (LCLs) from ICF patients with diverse DNMT3B mutations and on control LCLs using oligonucleotide arrays for approximately 5600 different genes, 510 of which showed a lymphoid lineage-restricted expression pattern among several different lineages tested. A set of 32 genes had consistent and significant ICF-specific changes in RNA levels. Half of these genes play a role in immune function. ICF-specific increases in immunoglobulin (Ig) heavy constant mu and delta RNA and cell surface IgM and IgD and decreases in Ig(gamma) and Ig(alpha) RNA and surface IgG and IgA indicate inhibition of the later steps of lymphocyte maturation. ICF-specific increases were seen in RNA for RGS1, a B-cell specific inhibitor of G-protein signaling implicated in negative regulation of B-cell migration, and in RNA for the pro-apoptotic protein kinase C eta gene. ICF-associated decreases were observed in RNAs encoding proteins involved in activation, migration or survival of lymphoid cells, namely, transcription factor negative regulator ID3, the enhancer-binding MEF2C, the iron regulatory transferrin receptor, integrin beta7, the stress protein heme oxygenase and the lymphocyte-specific tumor necrosis factor receptor family members 7 and 17. No differences in promoter methylation were seen between ICF and normal LCLs for three ICF upregulated genes and one downregulated gene by a quantitative methylation assay [combined bisulfite restriction analysis (COBRA)]. Our data suggest that DNMT3B mutations in the ICF syndrome cause lymphogenesis-associated gene dysregulation by indirect effects on gene expression that interfere with normal lymphocyte signaling, maturation and migration."}
{"STANDARD_NAME":"MCCLUNG_DELTA_FOSB_TARGETS_2WK","SYSTEMATIC_NAME":"M8645","ORGANISM":"Mus musculus","PMID":"14566342","AUTHORS":"McClung CA,Nestler EJ","EXACT_SOURCE":"Table 5S","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes up-regulated in the nucleus accumbens (a major reward center in brain) 2 weeks after induction of deltaFosB, a FOSB [GeneID=2354] splice variant.","DESCRIPTION_FULL":"DeltaFosB (a truncated form of FosB) and CREB (cAMP response element binding protein) are transcription factors induced in the brain's reward pathways after chronic exposure to drugs of abuse. However, their mechanisms of action and the genes they regulate remain unclear. Using microarray analysis in the nucleus accumbens of inducible transgenic mice, we found that CREB and a dominant-negative CREB have opposite effects on gene expression, as do prolonged expression of DeltaFosB and the activator protein-1 (AP-1) antagonist DeltacJun. However, unlike CREB, short-term and prolonged DeltaFosB induction had opposing effects on gene expression. Gene expression induced by short-term DeltaFosB and by CREB was strikingly similar, and both reduced the rewarding effects of cocaine, whereas prolonged DeltaFosB expression increased drug reward. Gene expression after a short cocaine treatment was more dependent on CREB, whereas gene expression after a longer cocaine treatment became increasingly DeltaFosB dependent. These findings help define the molecular functions of CREB and DeltaFosB and identify clusters of genes that contribute to cocaine addiction."}
{"STANDARD_NAME":"CUI_TCF21_TARGETS_DN","SYSTEMATIC_NAME":"M6937","ORGANISM":"Mus musculus","PMID":"16207825","AUTHORS":"Cui S,Li C,Ema M,Weinstein J,Quaggin SE","EXACT_SOURCE":"Table 1","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes most strongly down-regulated in kidney glomeruli isolated from TCF21 [GeneID=6943] knockout mice.","DESCRIPTION_FULL":"Mouse mutations have provided tremendous insights into the molecular basis of renal and glomerular development. However, genes often play important roles during multiple stages of nephrogenesis, making it difficult to determine the role of a gene in a specific cell lineage such as the podocyte. Conditional gene targeting and chimeric analysis are two possible approaches to dissect the function of genes in specific cell populations. However, these are labor-intensive and costly and require the generation, validation, and analysis of additional transgenic lines. For overcoming these shortcomings and, specifically, for studying the role of gene function in developing glomeruli, a technique to isolate and purify glomeruli from murine embryos was developed. Combined with gene expression profiling, this method was used to identify differentially expressed genes in glomeruli from Pod1 knockout (KO) mice that die in the perinatal period with multiple renal defects. Glomeruli from early developing stages (late S-shape/early capillary loop) onward can be isolated successfully from wild-type and KO kidneys at 18.5 d postcoitus, and RNA can readily be obtained and used for genome-wide microarray analysis. With this approach, 3986 genes that are differently expressed between glomeruli from Pod1 KO and wild-type mice were identified, including a four-fold reduction of alpha 8 integrin mRNA in glomeruli from Pod1 KO mice that was confirmed by immunostaining. This procedure may be adapted to any transgenic strain, providing a rapid and efficient method to dissect the function of specific genes in glomerular development."}
{"STANDARD_NAME":"SU_THYMUS","SYSTEMATIC_NAME":"M13095","ORGANISM":"Homo sapiens","PMID":"11904358","AUTHORS":"Su AI,Cooke MP,Ching KA,Hakak Y,Walker JR,Wiltshire T,Orth AP,Vega RG,Sapinoso LM,Moqrich A,Patapoutian A,Hampton GM,Schultz PG,Hogenesch JB","GEOID":"GSE96","EXACT_SOURCE":"Table 1S: Max Tissue=Thymus","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes up-regulated specifically in human thymus.","DESCRIPTION_FULL":"High-throughput gene expression profiling has become an important tool for investigating transcriptional activity in a variety of biological samples. To date, the vast majority of these experiments have focused on specific biological processes and perturbations. Here, we have generated and analyzed gene expression from a set of samples spanning a broad range of biological conditions. Specifically, we profiled gene expression from 91 human and mouse samples across a diverse array of tissues, organs, and cell lines. Because these samples predominantly come from the normal physiological state in the human and mouse, this dataset represents a preliminary, but substantial, description of the normal mammalian transcriptome. We have used this dataset to illustrate methods of mining these data, and to reveal insights into molecular and physiological gene function, mechanisms of transcriptional regulation, disease etiology, and comparative genomics. Finally, to allow the scientific community to use this resource, we have built a free and publicly accessible website (http://expression.gnf.org) that integrates data visualization and curation of current gene annotations."}
{"STANDARD_NAME":"KANG_FLUOROURACIL_RESISTANCE_DN","SYSTEMATIC_NAME":"M12110","ORGANISM":"Homo sapiens","PMID":"14734480","AUTHORS":"Kang HC,Kim IJ,Park JH,Shin Y,Ku JL,Jung MS,Yoo BC,Kim HK,Park JG","EXACT_SOURCE":"Table 2, 2A","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes down-regulated in gastric cancer cell lines resistant to 5-fluorouracil [PubChem=3385].","DESCRIPTION_FULL":"PURPOSE: A major obstacle in chemotherapy is treatment failure due to anticancer drug resistance. The emergence of acquired resistance results from host factors and genetic or epigenetic changes in the cancer cells. The purpose of this study was to identify differentially expressed genes associated with acquisition of resistance in human gastric cancer cells. EXPERIMENTAL DESIGN: We performed global gene expression analysis in the acquired drug-resistant gastric cancer cell lines to the commonly used drugs 5-fluorouracil, doxorubicin, and cisplatin using Affymetrix HG-U133A microarray. The gene expression patterns of 10 chemoresistant gastric cancer cell lines were compared with those of four parent cell lines using fold-change and Wilcoxon's test for data analysis. RESULTS: We identified over 250 genes differentially expressed in 5-fluorouracil-, cisplatin-, or doxorubicin-resistant gastric cancer cell lines. Our expression analysis also identified eight multidrug resistance candidate genes that were associated with resistance to two or more of the tested chemotherapeutic agents. Among these, midkine (MDK), a heparin-binding growth factor, was overexpressed in all drug-resistant cell lines, strongly suggesting that MDK might contribute to multidrug resistance in gastric cancer cells. CONCLUSIONS: Our investigation provides comprehensive gene information associated with acquired resistance to anticancer drugs in gastric cancer cells and a basis for additional functional studies."}
{"STANDARD_NAME":"JI_RESPONSE_TO_FSH_DN","SYSTEMATIC_NAME":"M17537","ORGANISM":"Homo sapiens","PMID":"15386376","AUTHORS":"Ji Q,Liu PI,Chen PK,Aoyama C","EXACT_SOURCE":"Table 3","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Down-regulated in ovarian epithelial cells (MCV152) 72 hours following FSH treatment, compared to untreated","DESCRIPTION_FULL":"Epidemiologic data have implicated reproductive follicle-stimulating hormone (FSH) as a probable risk factor for ovarian cancer (OC) development. Although pituitary and sex hormones have been reported to regulate OC cell growth, no information is available on the influence of FSH on gene expression profiles during ovarian surface epithelial (OSE) cell proliferation. This study evaluated the effect of FSH treatment on cell proliferation of various OSE cell lines and gene expression profiles with FSH treatment. Follicle-stimulating hormone receptor (FSHR) was found at higher expression at both transcriptional and protein levels in ovarian cancerous tissues compared to normal tissues, and FSH was shown to promote cell growth in 3 OSE cell lines. Furthermore, it was also found that overexpression of FSHR in Chinese hamster ovary (CHO) cells leads to cell proliferation. Using cDNA MicroArray analysis on MCV152 cells with FSH treatment, 91 genes were found upregulated and 68 genes downregulated for more than 2-fold after FSH treatment. Most of the genes were related to metabolism, cell proliferation and oncogenes. Downregulated genes included tumor suppressor genes (RB1, BRCA1, BS69) and the genes related to cell proliferation control. Pathway analysis found that FSH activates certain important enzymes in sterol biosynthesis pathways. FSH-induced gene expression profiles on MCV152 cells support the standing hypothesis that FSH is a probable risk factor for ovarian cancerous development."}
{"STANDARD_NAME":"CHUANG_OXIDATIVE_STRESS_RESPONSE_UP","SYSTEMATIC_NAME":"M10970","ORGANISM":"Homo sapiens","PMID":"12414654","AUTHORS":"Chuang YY,Chen Y,Gadisetti,Chandramouli VR,Cook JA,Coffin D,Tsai MH,DeGraff W,Yan H,Zhao S,Russo A,Liu ET,Mitchell JB","EXACT_SOURCE":"Table 3: ratio > 0","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes up-regulated in MCF7 cells (breast cancer) after treatment with the oxydants: hydrogen peroxyde, menadione, and t-butyl hydroperoxyde [PubChem=784;4055;6410].","DESCRIPTION_FULL":"Global gene expression patterns in breast cancer cells after treatment with oxidants (hydrogen peroxide, menadione, and t-butyl hydroperoxide) were investigated in three replicate experiments. RNA collected after treatment (at 1, 3, 7, and 24 h) rather than after a single time point, enabled an analysis of gene expression patterns. Using a 17,000 microarray, template-based clustering and multidimensional scaling analysis of the gene expression over the entire time course identified 421 genes as being either up- or down-regulated by the three oxidants. In contrast, only 127 genes were identified for any single time point and a 2-fold change criteria. Surprisingly, the patterns of gene induction were highly similar among the three oxidants; however, differences were observed, particularly with respect to p53, IL-6, and heat-shock related genes. Replicate experiments increased the statistical confidence of the study, whereas changes in gene expression patterns over a time course demonstrated significant additional information versus a single time point. Analyzing the three oxidants simultaneously by template cluster analysis identified genes that heretofore have not been associated with oxidative stress."}
{"STANDARD_NAME":"NATSUME_RESPONSE_TO_INTERFERON_BETA_DN","SYSTEMATIC_NAME":"M2567","ORGANISM":"Homo sapiens","PMID":"16140920","AUTHORS":"Natsume A,Ishii D,Wakabayashi T,Tsuno T,Hatano H,Mizuno M,Yoshida J","EXACT_SOURCE":"Table 1B","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes down-regulated in T98 cells (glioma) 48 h after treatment with interferon beta.","DESCRIPTION_FULL":"Alkylating agents, such as temozolomide, are among the most effective cytotoxic agents used for malignant gliomas, but responses remain very poor. The DNA repair protein O6-methylguanine-DNA methyltransferase (MGMT) plays an important role in cellular resistance to alkylating agents. IFN-beta can act as a drug sensitizer, enhancing toxicity against a variety of neoplasias, and is widely used in combination with other antitumor agents such as nitrosoureas. Here, we show that IFN-beta sensitizes glioma cells that harbor the unmethylated MGMT promoter and are resistant to temozolomide. By means of oligonucleotide microarray and RNA interference, we reveal that the sensitizing effect of IFN-beta was possibly due to attenuation of MGMT expression via induction of the protein p53. Our study suggests that clinical efficacy of temozolomide might be improved by combination with IFN-beta using appropriate doses and schedules of administration."}
{"STANDARD_NAME":"LINDVALL_IMMORTALIZED_BY_TERT_UP","SYSTEMATIC_NAME":"M1549","ORGANISM":"Homo sapiens","PMID":"12702554","AUTHORS":"Lindvall C,Hou M,Komurasaki T,Zheng C,Henriksson M,Sedivy JM,Björkholm M,Teh BT,Nordenskjöld M,Xu D","EXACT_SOURCE":"Table 1S","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes up-regulated in BJ cells (foreskin fibroblasts) immortalized by expression of TERT [GeneID=7015].","DESCRIPTION_FULL":"Reconstitution of telomerase activity by ectopic expression of telomerase reverse transcriptase (hTERT) results in an immortal phenotype in various types of normal human cells, including fibroblasts. Despite lack of transformation characteristics, it is unclear whether hTERT-immortalized cells are physiologically and biochemically the same as their normal counterparts. Here, we compared the gene expression profiles of normal and hTERT-immortalized fibroblasts by using a cDNA microarray containing 20,736 cDNA clones and identified 172 dysregulated genes or expressed sequence tags (ESTs). One of the highly expressed genes in the hTERT-immortalized fibroblasts (hTERT-BJ cells) encodes epiregulin, a potent growth factor. Blockade of epiregulin reduced the growth of hTERT-BJ cells and colony formation of hTERT-transformed fibroblasts. Moreover, inhibition of epiregulin function in immortal hTERT-BJ cells triggered a senescence program. Our results suggest that both activation of telomerase and subsequent induction of epiregulin are required for sustained cell proliferation. Given the significant difference in gene expression profiles between normal and hTERT-immortalized fibroblasts and the close relationship between epiregulin and tumorigenesis, we conclude that hTERT-immortalized cells may not replace their normal counterparts for studies of normal cell biology and that the use of hTERT for expansion of normal human cells for therapeutic purposes must be approached with caution."}
{"STANDARD_NAME":"WU_HBX_TARGETS_3_UP","SYSTEMATIC_NAME":"M6541","ORGANISM":"Homo sapiens","PMID":"11439330","AUTHORS":"Wu CG,Salvay DM,Forgues M,Valerie K,Farnsworth J,Markin RS,Wang XW","EXACT_SOURCE":"Table 1: Up-regulated","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes up-regulated by expression of HBV X protein (HBVgp3) [GeneID=944566] both in SK-Hep-1 cells (hepatocellular carcinoma) and normal primary hepatocytes.","DESCRIPTION_FULL":"Hepatitis B virus (HBV) is a major risk factor for the development of hepatocellular carcinoma (HCC). HBV encodes the potentially oncogenic HBx protein, which mainly functions as a transcriptional co-activator involving in multiple gene deregulations. However, mechanisms underlying HBx-mediated oncogenicity remain unclear. To determine the role(s) of HBx in the early genesis of HCC, we utilized the NCI Oncochip microarray that contains 2208 human cDNA clones to examine the gene expression profiles in either freshly isolated normal primary adult human hepatocytes (Hhep) or an HCC cell line (SK-Hep-1) ecotopically expressing HBx via an adenoviral system. The gene expression profiles also were determined in liver samples from HBV-infected chronic active hepatitis patients when compared with normal liver samples. The microarray results were validated through Northern blot analysis of the expression of selected genes. Using reciprocally labeling hybridizations, scatterplot analysis of gene expression ratios in human primary hepatocytes expressing HBx demonstrates that microarrays are highly reproducible. The comparison of gene expression profiles between HBx-expressing primary hepatocytes and HBV-infected liver samples shows a consistent alteration of many cellular genes including a subset of oncogenes (such as c-myc and c-myb) and tumor suppressor genes (such as APC, p53, WAF1 and WT1). Furthermore, clustering algorithm analysis showed distinctive gene expression profiles in Hhep and SK-Hep-1 cells. Our findings are consistent with the hypothesis that the deregulation of cellular genes by oncogenic HBx may be an early event that favors hepatocyte proliferation during liver carcinogenesis."}
{"STANDARD_NAME":"MURAKAMI_UV_RESPONSE_6HR_UP","SYSTEMATIC_NAME":"M453","ORGANISM":"Homo sapiens","PMID":"11532376","AUTHORS":"Murakami T,Fujimoto M,Ohtsuki M,Nakagawa H","EXACT_SOURCE":"Table 1: 6 h ratio > 1.2","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes up-regulated in primary keratinocytes at 6 h after UVB irradiation.","DESCRIPTION_FULL":"Ultraviolet B irradiation initiates and promotes skin cancers, photo-aging, and immune suppression. In order to elucidate the effect of these processes at the level of gene expression, we used cDNA microarray technology to examine the effect of ultraviolet B irradiation on 588 cancer-related genes in human keratinocytes at 1, 6, and 24 h post-irradiation with a mildly cytotoxic dose of ultraviolet B (170 mJ/cm(2)). The viability of the irradiated keratinocytes was 75% at 24 h post-irradiation. Various cytokeratins and transcription factors were up-regulated within 1 h post-irradiation. After 6 h, expression of a variety of genes related to growth regulation (e.g. p21(WAF1), notch 4, and smoothened), apoptosis (e.g. caspase 10, hTRIP, and CRAF1), DNA repair (ERCC1, XRCC1), cytokines (e.g. IL-6, IL-13, TGF-beta, and endothelin 2), and cell adhesion (e.g. RhoE, and RhoGDI) were altered in human keratinocytes. These data suggest the changes in a cascade of gene expression in human keratinocytes occurring within 24 h after UVB exposure. Although the roles of these cellular genes after UVB-irradiation remain to be elucidated, microarray analysis may provide a new view of gene expression in epidermal keratinocytes following UVB exposure."}
{"STANDARD_NAME":"SIMBULAN_PARP1_TARGETS_UP","SYSTEMATIC_NAME":"M1550","ORGANISM":"Mus musculus","PMID":"11016956","AUTHORS":"Simbulan-Rosenthal CM,Ly DH,Rosenthal DS,Konopka G,Luo R,Wang ZQ,Schultz PG,Smulson ME","EXACT_SOURCE":"Table 1, 2: Fold >= 2","CHIP":"AFFY_Mu11K","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes up-regulated in MEF cells (embryonic fibroblasts) from PARP1 [GeneID=142] knockout mice.","DESCRIPTION_FULL":"Poly(ADP-ribose) polymerase (PARP) is implicated in the maintenance of genomic integrity, given that inhibition or depletion of this enzyme increases genomic instability in cells exposed to genotoxic agents. We previously showed that immortalized fibroblasts derived from PARP(-/-) mice exhibit an unstable tetraploid population, and partial chromosomal gains and losses in PARP(-/-) mice and immortalized fibroblasts are accompanied by changes in the expression of p53, Rb, and c-Jun, as well as other proteins. A tetraploid population has also now been detected in primary fibroblasts derived from PARP(-/-) mice. Oligonucleotide microarray analysis was applied to characterize more comprehensively the differences in gene expression between asynchronously dividing primary fibroblasts derived from PARP(-/-) mice and their wild-type littermates. Of the 11,000 genes monitored, 91 differentially expressed genes were identified. The loss of PARP results in down-regulation of the expression of several genes involved in regulation of cell cycle progression or mitosis, DNA replication, or chromosomal processing or assembly. PARP deficiency also up-regulates genes that encode extracellular matrix or cytoskeletal proteins that are implicated in cancer initiation or progression or in normal or premature aging. These results provide insight into the mechanism by which PARP deficiency impairs mitotic function, thereby resulting in the genomic alterations and chromosomal abnormalities as well as in altered expression of genes that may contribute to genomic instability, cancer, and aging."}
{"STANDARD_NAME":"ULE_SPLICING_VIA_NOVA2","SYSTEMATIC_NAME":"M1551","ORGANISM":"Mus musculus","PMID":"16041372","AUTHORS":"Ule J,Ule A,Spencer J,Williams A,Hu JS,Cline M,Wang H,Clark T,Fraser C,Ruggiu M,Zeeberg BR,Kane D,Weinstein JN,Blume J,Darnell RB","EXACT_SOURCE":"Table 1","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes whose splicing in neocortex was most affected by knock out of NOVA2 [GeneID=4858].","DESCRIPTION_FULL":"Alternative RNA splicing greatly increases proteome diversity and may thereby contribute to tissue-specific functions. We carried out genome-wide quantitative analysis of alternative splicing using a custom Affymetrix microarray to assess the role of the neuronal splicing factor Nova in the brain. We used a stringent algorithm to identify 591 exons that were differentially spliced in the brain relative to immune tissues, and 6.6% of these showed major splicing defects in the neocortex of Nova2-/- mice. We tested 49 exons with the largest predicted Nova-dependent splicing changes and validated all 49 by RT-PCR. We analyzed the encoded proteins and found that all those with defined brain functions acted in the synapse (34 of 40, including neurotransmitter receptors, cation channels, adhesion and scaffold proteins) or in axon guidance (8 of 40). Moreover, of the 35 proteins with known interaction partners, 74% (26) interact with each other. Validating a large set of Nova RNA targets has led us to identify a multi-tiered network in which Nova regulates the exon content of RNAs encoding proteins that interact in the synapse."}
{"STANDARD_NAME":"MARIADASON_REGULATED_BY_HISTONE_ACETYLATION_DN","SYSTEMATIC_NAME":"M1552","ORGANISM":"Homo sapiens","PMID":"10969808","AUTHORS":"Mariadason JM,Corner GA,Augenlicht LH","EXACT_SOURCE":"Suppl. File 2: cluster 10","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Cluster 10: genes down-regulated in SW260 cells (colon cancer) by sodium butyrate and TSA [PubChem=5222465;5562] with the same kinetics with which each alters the level of histone H4 acetylation.","DESCRIPTION_FULL":"The short-chain fatty acid butyrate, produced by microbial fermentation of dietary fiber in the large intestine, is a physiological regulator of major pathways of colonic epithelial cell maturation: cell cycle arrest, lineage-specific differentiation, and apoptosis. Microarray analysis of 8,063 sequences demonstrated a complex cascade of reprogramming of SW620 colonic epithelial cells upon treatment with butyrate characterized by the progressive recruitment of gene sets as a function of time. Comparison with the effects of trichostatin A, in conjunction with differences in the kinetics of alteration of histone acetylation induced by butyrate and trichostatin A, identified subsets of induced and repressed genes likely coordinately regulated by altered histone acetylation. The butyrate response was also compared in detail with that of sulindac, a nonsteroidal anti-inflammatory drug with significant chemopreventive activity for colon cancer, and curcumin, a component of mustard and curry structurally and functionally related to sulindac that also has chemopreventive activity. Although gene clusters were identified that showed similar responses to butyrate and sulindac, the data were characterized by the extensive differences in the effects of the two agents. This was striking for functional classes of genes involved in signaling pathways and in cell cycle progression, although butyrate and sulindac induce a similar G0-G1 arrest, elevation of beta-catenin-Tcf signaling, and apoptotic cascade. As regards cell cycle arrest, the underlying mechanism in response to butyrate was most similar to that of the Caco-2 cell line that had spontaneously undergone a G0-G1 arrest and least similar to the G2-M arrest stimulated by curcumin. Thus, high-throughput microarray analysis of gene expression profiles can be used to characterize and distinguish the mechanisms of response of colonic epithelial cells to physiological and pharmacological inducers of cell maturation. This has important implications for characterization of chemopreventive agents and recognition of potential toxicity and synergies. The data bases, gene clusters, and analyses are available at http:// sequence.aecom.yu.edu/genome/."}
{"STANDARD_NAME":"IVANOVA_HEMATOPOIESIS_STEM_CELL","SYSTEMATIC_NAME":"M6813","ORGANISM":"Mus musculus","PMID":"12228721","AUTHORS":"Ivanova NB,Dimos JT,Schaniel C,Hackney JA,Moore KA,Lemischka IR","EXACT_SOURCE":"Excel Table 2S: Expression Cluster=HSC Shared","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes in the expression cluster 'HSC Shared': up-regulated in hematopoietic stem cells (HSC) from adult bone marrow and fetal liver.","DESCRIPTION_FULL":"Mechanisms regulating self-renewal and cell fate decisions in mammalian stem cells are poorly understood. We determined global gene expression profiles for mouse and human hematopoietic stem cells and other stages of the hematopoietic hierarchy. Murine and human hematopoietic stem cells share a number of expressed gene products, which define key conserved regulatory pathways in this developmental system. Moreover, in the mouse, a portion of the genetic program of hematopoietic stem cells is shared with embryonic and neural stem cells. This overlapping set of gene products represents a molecular signature of stem cells."}
{"STANDARD_NAME":"KANG_FLUOROURACIL_RESISTANCE_UP","SYSTEMATIC_NAME":"M10540","ORGANISM":"Homo sapiens","PMID":"14734480","AUTHORS":"Kang HC,Kim IJ,Park JH,Shin Y,Ku JL,Jung MS,Yoo BC,Kim HK,Park JG","EXACT_SOURCE":"Table 2","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes up-regulated in gastric cancer cell lines resistant to 5-fluorouracil [PubChem=3385].","DESCRIPTION_FULL":"PURPOSE: A major obstacle in chemotherapy is treatment failure due to anticancer drug resistance. The emergence of acquired resistance results from host factors and genetic or epigenetic changes in the cancer cells. The purpose of this study was to identify differentially expressed genes associated with acquisition of resistance in human gastric cancer cells. EXPERIMENTAL DESIGN: We performed global gene expression analysis in the acquired drug-resistant gastric cancer cell lines to the commonly used drugs 5-fluorouracil, doxorubicin, and cisplatin using Affymetrix HG-U133A microarray. The gene expression patterns of 10 chemoresistant gastric cancer cell lines were compared with those of four parent cell lines using fold-change and Wilcoxon's test for data analysis. RESULTS: We identified over 250 genes differentially expressed in 5-fluorouracil-, cisplatin-, or doxorubicin-resistant gastric cancer cell lines. Our expression analysis also identified eight multidrug resistance candidate genes that were associated with resistance to two or more of the tested chemotherapeutic agents. Among these, midkine (MDK), a heparin-binding growth factor, was overexpressed in all drug-resistant cell lines, strongly suggesting that MDK might contribute to multidrug resistance in gastric cancer cells. CONCLUSIONS: Our investigation provides comprehensive gene information associated with acquired resistance to anticancer drugs in gastric cancer cells and a basis for additional functional studies."}
{"STANDARD_NAME":"MAHAJAN_RESPONSE_TO_IL1A_DN","SYSTEMATIC_NAME":"M12107","ORGANISM":"Homo sapiens","PMID":"12091409","AUTHORS":"Mahajan VB,Wei C,McDonnell PJ 3rd","EXACT_SOURCE":"Table 1,2: Change <= -2","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes down-regulated in corneal fibroblasts after treatment with IL1A [GeneID=3552].","DESCRIPTION_FULL":"PURPOSE: To identify changes in gene expression in human corneal fibroblasts after exposure to interleukin-1alpha. METHODS: RNA was isolated from cultured human corneal fibroblasts after treatment with interleukin-1alpha and subjected to DNA microarray analysis. Changes in gene expression were determined by comparison with untreated cells in three independent experiments after a Bayesian statistical analysis of variance. RESULTS: Changes in gene expression were reproducibly observed in 165 genes representing previously identified and novel chemokines, matrix molecules, membrane receptors, angiogenic mediators, and transcription factors that correlated with pathophysiological responses to inflammation. Dramatic increases in gene expression were observed with exodus-1 (CCL20), MMP-12, and RhoA. CONCLUSIONS: DNA microarray analysis of the corneal fibroblast response to interleukin-1alpha provides important insight into modeling changes in gene expression and suggests novel therapeutic targets for the control of corneal inflammation."}
{"STANDARD_NAME":"BURTON_ADIPOGENESIS_12","SYSTEMATIC_NAME":"M1558","ORGANISM":"Mus musculus","PMID":"15033539","AUTHORS":"Burton GR,Nagarajan R,Peterson CA,McGehee RE Jr","EXACT_SOURCE":"Table 2: cluster 6","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Strongly down-regulated at 2 h during differentiation of 3T3-L1 cells (fibroblast) into adipocytes.","DESCRIPTION_FULL":"During cellular differentiation and development, it is recognized that many complex molecular mechanisms as well as precise patterns of differentially expressed genes occur in directing precursor cells toward a given lineage. Using microarray-based technology, we examined gene expression across the course of 3T3-L1 adipocyte differentiation. Total cellular RNA was isolated at times 0, 2, 8, 16, 24, 48, and 96 h following treatment with either standard hormonal inducers of differentiation; insulin, dexamethasone, isobutylmethylxanthine (IDX), or IDX plus trichostatin A (TsA), a histone deacetylase inhibitor and potent adipogenic inhibitor. cRNA was synthesized from cellular RNA and hybridized to high density Affymetrix MG_U74Av2 microarray gene chips containing 12,488 cDNA/Expressed Sequence Tags (ESTs) probe sets. From the IDX-only treated cells, all probe sets that were either unchanged or differentially expressed less than 2-fold throughout differentiation with respect to time 0 preadipocytes were excluded from further analyses. This selection resulted in a net of 1686 transcripts, 859 were increased in expression, and 827 were decreased in expression at least 2-fold across differentiation. To focus in on genes that were more specific to differentiation, the same analysis was performed on IDX plus TsA-treated non-differentiating cells and all probe sets from the IDX-only group that exhibited similar expression profiles in the non-differentiating TsA-treated group were excluded leaving a total of 1016 transcripts that were regulated only under differentiating conditions. Six hundred and thirty-six of these transcripts were elevated at least 2-fold and 380 exhibited a decrease in expression relative to time 0 preadipocytes. This group of genes was further analyzed using hierarchical clustering and self-organizing maps and resulted in the identification of numerous genes not previously known to be regulated during adipocyte differentiation. Many of these genes may well represent novel adipogenic mediators and markers of adipogenesis."}
{"STANDARD_NAME":"KAAB_FAILED_HEART_ATRIUM_UP","SYSTEMATIC_NAME":"M8009","ORGANISM":"Homo sapiens","PMID":"15103417","AUTHORS":"Kääb S,Barth AS,Margerie D,Dugas M,Gebauer M,Zwermann L,Merk S,Pfeufer A,Steinmeyer K,Bleich M,Kreuzer E,Steinbeck G,Näbauer M","EXACT_SOURCE":"Table 3aS, 3bS: CMP atrium = UP","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes up-regulated in atria of failing hearts (DCM and ICM) compared to healthy controls.","DESCRIPTION_FULL":"To obtain region- and disease-specific transcription profiles of human myocardial tissue, we explored mRNA expression from all four chambers of eight explanted failing [idiopathic dilated cardiomyopathy (DCM), n=5; ischemic cardiomyopathy (ICM), n=3], and five non-failing hearts using high-density oligonucleotide arrays (Affymetrix U95Av2). We performed pair-wise comparisons of gene expression in the categories (1) atria versus ventricles, (2) disease-regulated genes in atria and (3) disease-regulated genes in ventricles. In the 51 heart samples examined, 549 genes showed divergent distribution between atria and ventricles (272 genes with higher expression in atria, 277 genes with higher expression in ventricles). Two hundred and eighty-eight genes were differentially expressed in failing myocardium compared to non-failing hearts (19 genes regulated in atria and ventricles, 172 regulated in atria only, 97 genes regulated in ventricles only). For disease-regulated genes, down-regulation was 4.5-times more common than up-regulation. Functional classification according to Gene Ontology identified specific biological patterns for differentially expressed genes. Eleven genes were validated by RT-PCR showing a good correlation with the microarray data. Our goal was to determine a gene expression fingerprint of the heart, accounting for region- and disease-specific aspects. Recognizing common gene expression patterns in heart failure will significantly contribute to the understanding of heart failure and may eventually lead to the development of pathway-specific therapies."}
{"STANDARD_NAME":"MARIADASON_REGULATED_BY_HISTONE_ACETYLATION_UP","SYSTEMATIC_NAME":"M1559","ORGANISM":"Homo sapiens","PMID":"10969808","AUTHORS":"Mariadason JM,Corner GA,Augenlicht LH","EXACT_SOURCE":"Suppl. File 2: cluster 9","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Cluster 9: genes up-regulated in SW260 cells (colon cancer) by sodium butyrate and TSA [PubChem=5222465;5562] with the same kinetics with which each alters the level of histone H4 acetylation.","DESCRIPTION_FULL":"The short-chain fatty acid butyrate, produced by microbial fermentation of dietary fiber in the large intestine, is a physiological regulator of major pathways of colonic epithelial cell maturation: cell cycle arrest, lineage-specific differentiation, and apoptosis. Microarray analysis of 8,063 sequences demonstrated a complex cascade of reprogramming of SW620 colonic epithelial cells upon treatment with butyrate characterized by the progressive recruitment of gene sets as a function of time. Comparison with the effects of trichostatin A, in conjunction with differences in the kinetics of alteration of histone acetylation induced by butyrate and trichostatin A, identified subsets of induced and repressed genes likely coordinately regulated by altered histone acetylation. The butyrate response was also compared in detail with that of sulindac, a nonsteroidal anti-inflammatory drug with significant chemopreventive activity for colon cancer, and curcumin, a component of mustard and curry structurally and functionally related to sulindac that also has chemopreventive activity. Although gene clusters were identified that showed similar responses to butyrate and sulindac, the data were characterized by the extensive differences in the effects of the two agents. This was striking for functional classes of genes involved in signaling pathways and in cell cycle progression, although butyrate and sulindac induce a similar G0-G1 arrest, elevation of beta-catenin-Tcf signaling, and apoptotic cascade. As regards cell cycle arrest, the underlying mechanism in response to butyrate was most similar to that of the Caco-2 cell line that had spontaneously undergone a G0-G1 arrest and least similar to the G2-M arrest stimulated by curcumin. Thus, high-throughput microarray analysis of gene expression profiles can be used to characterize and distinguish the mechanisms of response of colonic epithelial cells to physiological and pharmacological inducers of cell maturation. This has important implications for characterization of chemopreventive agents and recognition of potential toxicity and synergies. The data bases, gene clusters, and analyses are available at http:// sequence.aecom.yu.edu/genome/."}
{"STANDARD_NAME":"DASU_IL6_SIGNALING_SCAR_UP","SYSTEMATIC_NAME":"M292","ORGANISM":"Homo sapiens","PMID":"15095275","AUTHORS":"Dasu MR,Hawkins HK,Barrow RE,Xue H,Herndon DN","EXACT_SOURCE":"Table 3: Fold change > 1.2","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes up-regulated in hypertrophic scar fibroblasts in response to IL6 [GeneID=3569].","DESCRIPTION_FULL":"The structural rearrangement of collagen fibres in hypertrophic scar causes abnormal contracture, low tensile strength, and raised scars, which cause functional impairment and disfigurement. It is hypothesized that changes in the genes of cytokines, extracellular matrix proteins, and proteins regulating programmed cell death are related to hypertrophic scar formation. To test this hypothesis, fibroblasts were cultured from hypertrophic scars and their response to interleukin-6 (IL-6) stimulation was studied by defining their gene expression profiles. Affymetrix gene chip analysis was used to identify up- or down-regulation in the 12 625 genes present in the affymetrix array. RT-PCR and ELISA assays were used to validate microarray expression profiles further. Comparison of gene profiles showed an increase of 12 genes in hypertrophic scar fibroblasts compared with normal skin fibroblasts, while the expression of 14 genes decreased. Thirty-three genes were affected by IL-6 treatment in the hypertrophic scar fibroblasts, while 57 genes were affected in normal skin fibroblasts. Messenger RNA to beta-actin ratios for matrix metalloproteinase-1 (MMP-1) and MMP-3 were increased with IL-6 in normal skin fibroblasts from 2.43 +/- 0.06 to 5.50 +/- 0.45 and from 0.75 +/- 0.09 to 1.98 +/- 0.01, respectively. No change in these matrix metalloproteinases could be shown with IL-6 stimulation in hypertrophic scar fibroblasts. Secreted protein levels of pro-MMP-1 and MMP-3 were elevated in the supernatants from normal skin fibroblasts from 2.00 +/- 0.09 and 1.72 +/- 0.10 ng/ml to 4.60 +/- 0.12 and 3.41 +/- 0.20 ng/ml, respectively, after treatment with IL-6 (p < 0.05). No changes were observed in hypertrophic scar fibroblasts treated with IL-6. Values are means +/- SEM. The absence of any up-regulation of MMP-1 and MMP-3 in hypertrophic scar fibroblasts, in response to IL-6, suggests that suppression of matrix metalloproteinases may play a role in the excessive accumulation of collagen formed in hypertrophic scars. While the pathogenesis of abnormal hypertrophic scars remains poorly understood, the use of gene expression arrays may prove helpful in identifying the mechanisms responsible for this type of abnormal scar formation and in formulating an effective therapeutic protocol."}
{"STANDARD_NAME":"CHIBA_RESPONSE_TO_TSA","SYSTEMATIC_NAME":"M16977","ORGANISM":"Homo sapiens","PMID":"15336447","AUTHORS":"Chiba T,Yokosuka O,Arai M,Tada M,Fukai K,Imazeki F,Kato M,Seki N,Saisho H","EXACT_SOURCE":"Table 4","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes up-regulated in more than one of several human hepatoma cell lines by TSA [PubChem=5562].","DESCRIPTION_FULL":"BACKGROUND/AIMS: Epigenetics is the key factor in the regulation of gene expression. We conducted cDNA microarray analysis to screen for genes induced by histone deacetylase (HDAC) inhibition and examined epigenetic alterations. METHODS: Microarray analysis was performed in six hepatoma cell lines and primary hepatocytes treated with trichostatin A (TSA). mRNA expression of several genes was examined by reverse transcription-polymerase chain reaction in TSA-treated cells and hepatoma samples. Acetylated histones and methylation status in 5'CpG islands was assessed by chromatin immunoprecipitation (ChIP) assay and bisulfite genomic sequencing, respectively. RESULTS: Fifty-seven genes showed greater than 2-fold change after TSA treatment in multiple cell lines. Among them, four genes including p21(WAF1) exhibited substantial induction (greater than 5-fold changes). Decreased mRNA levels of these genes in hepatoma tissues were observed in more than half of patients. ChIP assay, in general, demonstrated a good correlation between mRNA expression and histone acetylation, but only a limited correlation with the methylated DNA in the promoter region. CONCLUSIONS: We identified 57 up-regulated genes by TSA treatment in hepatoma cells and some of them appeared to be cancer-related genes in hepatomas. The alterations in acetylated histones are likely closely associated with gene expression."}
{"STANDARD_NAME":"YIH_RESPONSE_TO_ARSENITE_C2","SYSTEMATIC_NAME":"M1562","ORGANISM":"Homo sapiens","PMID":"12016162","AUTHORS":"Yih LH,Peck K,Lee TC","EXACT_SOURCE":"Table 1: Cluster 2","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes in cluster 2: moderately up-regulated in HFW cells (fibroblast) upon treatment with sodium arsenite [PubChem=26435] at all time points.","DESCRIPTION_FULL":"Arsenic compounds are widely distributed and arsenic ingestion is associated with many human diseases, including blackfoot disease, atherosclerosis, and cancers. However, the underlying mechanism of arsenic toxicity is not understood. In human fibroblast cells (HFW), arsenite is known to induce oxidative damage, chromosome aberrations, cell cycle arrest, and aneuploidy, and the manifestation of these cellular responses is dependent on changes in gene expression which can be analyzed using the cDNA microarray technique. In this study, cDNA microarray membranes with 568 human genes were used to examine mRNA profile changes in HFW cells treated for 0 to 24 h with 5 microM sodium arsenite. On the basis of the mean value for three independent experiments, 133 target genes were selected for a 2 x 3 self-organizing map cluster analysis; 94 were found to be induced by arsenite treatment, whereas 39 were repressed. These genes were categorized as signal transduction, transcriptional regulation, cell cycle control, stress responses, proteolytic enzymes, and miscellaneous. Significant changes in the signaling-related and transcriptional regulation genes indicated that arsenite induces complex toxicopathological injury."}
{"STANDARD_NAME":"CHEN_LVAD_SUPPORT_OF_FAILING_HEART_UP","SYSTEMATIC_NAME":"M12300","ORGANISM":"Homo sapiens","PMID":"12824457","AUTHORS":"Chen Y,Park S,Li Y,Missov E,Hou M,Han X,Hall JL,Miller LW,Bache RJ","GEOID":"GSE430","EXACT_SOURCE":"Table 3S: Fold Change = arrow up","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Up-regulated genesin the left ventricle myocardium of patients with heart failure following implantation of LVAD (left ventricular assist device).","DESCRIPTION_FULL":"Chronic unloading of the failing heart with a left ventricular assist device (LVAD) can decrease cardiac mass and myocyte size and has the potential to improve contractile function. To study the effect of chronic ventricular unloading on myocardial gene expression, a microarray (U133A, Affymetrix) profiling gene expression was compared before and after LVAD support in seven patients with idiopathic dilated cardiomyopathy and end-stage heart failure. On average, 1,374 +/- 155 genes were reported as increased and 1,629 +/- 45 as decreased after LVAD support. A total of 130 gene transcripts achieved the strict criteria for upregulation and 49 gene transcripts for downregulation after LVAD support. Upregulated genes included a large proportion of transcription factors, genes related to cell growth/apoptosis/DNA repair, cell structure proteins, metabolism, and cell signaling/communication. LVAD support resulted in downregulation of genes for a group of cytokines. To validate the array data, 10 altered genes were confirmed by real-time RT-PCR. Further study showed that the phosphoinositide-3-kinase-forkhead protein pathway and proteins related to nitric oxide synthesis, including eNOS and dimethylarginine dimethylaminohydrolase isoform 1 (DDAH1, an enzyme regulating endogenous nitric oxide synthase activity), were significantly increased during the cardiac remodeling process. Increased eNOS and DDAH1 expression after LVAD support may contribute to improved endothelial function of the failing hearts."}
{"STANDARD_NAME":"KIM_GASTRIC_CANCER_CHEMOSENSITIVITY","SYSTEMATIC_NAME":"M14702","ORGANISM":"Homo sapiens","PMID":"15033468","AUTHORS":"Kim HK,Choi IJ,Kim HS,Kim JH,Kim E,Park IS,Chun JH,Kim IH,Kim IJ,Kang HC,Park JH,Bae JM,Lee JS,Park JG","EXACT_SOURCE":"Fig 4A","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes up-regulated in gastric cancer patients refractory to chemotherapy treatment with 5-fluorouracil and cisplatin [PubChem=3385;2767] compared to the sensitive state.","DESCRIPTION_FULL":"The mechanisms of intrinsic and/or acquired anti-cancer drug resistance have been described in in vitro resistance models, but the clinical relevance has remained undefined. We undertook a prospective study to identify correlations between gene expression and clinical resistance to 5-FU/cisplatin. We compared expression profiles from gastric cancer endoscopic biopsy specimens obtained at a chemosensitive state (partial remission after 5-FU/cisplatin) with those obtained at a refractory state (disease progression), using Affymetrix oligonucleotide microarray technology (U133A). Using 119 discriminating probes and a cross-validation approach, we were able to correctly identify the chemo-responsiveness of 7 pairs of training samples and 1 independent test pair. These exploratory data demonstrate that the gene expression profiles differ between chemosensitive and refractory state gastric cancer biopsy samples."}
{"STANDARD_NAME":"GENTILE_UV_RESPONSE_CLUSTER_D5","SYSTEMATIC_NAME":"M13814","ORGANISM":"Homo sapiens","PMID":"12907719","AUTHORS":"Gentile M,Latonen L,Laiho M","GEOID":"GSE713","EXACT_SOURCE":"Table 2S: Cluster d5","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Cluster d5: genes progressively down-regulated in WS1 cells (fibroblast) through 18 h after irradiation with high dose UV-C.","DESCRIPTION_FULL":"DNA damage caused by UV radiation initiates cellular recovery mechanisms, which involve activation of DNA damage response pathways, cell cycle arrest and apoptosis. To assess cellular transcriptional responses to UVC-induced DNA damage we compared time course responses of human skin fibroblasts to low and high doses of UVC radiation known to induce a transient cellular replicative arrest or apoptosis, respectively. UVC radiation elicited >3-fold changes in 460 out of 12,000 transcripts and 89% of these represented downregulated transcripts. Only 5% of the regulated genes were common to both low and high doses of radiation. Cells inflicted with a low dose of UVC exhibited transcription profiles demonstrating transient regulation followed by recovery, whereas the responses were persistent after the high dose. A detailed clustering analysis and functional classification of the targets implied regulation of biologically divergent responses and suggested involvement of transcriptional and translational machinery, inflammatory, anti-proliferative and anti-angiogenic responses. The data support the notion that UVC radiation induces prominent, dose-dependent downregulation of transcription. However, the data strongly suggest that transcriptional repression is also target gene selective. Furthermore, the results demonstrate that dose-dependent induction of cell cycle arrest and apoptosis by UVC radiation are transcriptionally highly distinct responses."}
{"STANDARD_NAME":"LEE_CALORIE_RESTRICTION_MUSCLE_UP","SYSTEMATIC_NAME":"M1572","ORGANISM":"Mus musculus","PMID":"10464095","AUTHORS":"Lee CK,Klopp RG,Weindruch R,Prolla TA","EXACT_SOURCE":"Table 3S","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Up-regulated in the gastrocnemius muscle of aged (30-month) mice subjected to caloric restriction diet since young adulthood.","DESCRIPTION_FULL":"The gene expression profile of the aging process was analyzed in skeletal muscle of mice. Use of high-density oligonucleotide arrays representing 6347 genes revealed that aging resulted in a differential gene expression pattern indicative of a marked stress response and lower expression of metabolic and biosynthetic genes. Most alterations were either completely or partially prevented by caloric restriction, the only intervention known to retard aging in mammals. Transcriptional patterns of calorie-restricted animals suggest that caloric restriction retards the aging process by causing a metabolic shift toward increased protein turnover and decreased macromolecular damage."}
{"STANDARD_NAME":"MACLACHLAN_BRCA1_TARGETS_UP","SYSTEMATIC_NAME":"M17772","ORGANISM":"Homo sapiens","PMID":"10644742","AUTHORS":"MacLachlan TK,Somasundaram K,Sgagias M,Shifman Y,Muschel RJ,Cowan KH,El-Deiry WS","EXACT_SOURCE":"Table 1: Induced genes","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes up-regulated in SW480 cells (colon cancer with mutated p53 [GeneID=7157]) upon expression of BRCA1 [GeneID=672] off an adenovirus vector.","DESCRIPTION_FULL":"The breast and ovarian cancer susceptibility gene product BRCA1 has been reported to be expressed in a cell cycle-dependent manner; possess transcriptional activity; associate with several proteins, including the p53 tumor suppressor; and play an integral role in certain types of DNA repair. We show here that ectopic expression of BRCA1 using an adenovirus vector (Ad-BRCA1) leads to dephosphorylation of the retinoblastoma protein accompanied by a decrease in cyclin-dependent kinase activity. Flow cytometric analysis on Ad-BRCA1-infected cells revealed a G(1) or G(2) phase accumulation. High density cDNA array screening of colon, lung, and breast cancer cells identified several genes affected by BRCA1 expression in a p53-independent manner, including DNA damage response genes and genes involved in cell cycle control. Notable changes included induction of the GADD45 and GADD153 genes and a reduction in cyclin B1 expression. Therefore, BRCA1 has the potential to modulate the expression of genes and function of proteins involved in cell cycle control and DNA damage response pathways."}
{"STANDARD_NAME":"GAJATE_RESPONSE_TO_TRABECTEDIN_DN","SYSTEMATIC_NAME":"M16617","ORGANISM":"Homo sapiens","PMID":"12198119","AUTHORS":"Gajate C,An F,Mollinedo F","EXACT_SOURCE":"Table 1: Fold change =< -2","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes down-regulated in HeLa cells (cervical carcinoma) by trabectedin [PubChem=3199].","DESCRIPTION_FULL":"We have found that ecteinascidin-743 (ET-743) inhibited cell proliferation at 1-10 ng/ml, leading to S and G(2)/M arrest and subsequent apoptosis, and induced early apoptosis without previous cell cycle arrest at 10-100 ng/ml in cancer cells. ET-743-mediated apoptosis, did not involve Fas/CD95. ET-743 induced c-Jun NH(2)-terminal kinase (JNK) and caspase-3 activation, and JNK and caspase inhibition prevented ET-743-induced apoptosis. ET-743 failed to promote apoptosis in caspase-3-deficient MCF-7 cells, further implicating caspase-3 in its proapoptotic action. Overexpression of bcl-2 by gene transfer abrogated ET-743-induced apoptosis, but cells underwent cell cycle arrest. ET-743 triggered cytochrome c release from mitochondria that was inhibited by Bcl-2 overexpression. Inhibition of transcription or protein synthesis did not prevent ET-743-induced apoptosis, but abrogated ET-743-induced cell cycle arrest. Microarray analyses revealed changes in the expression of a small number of cell cycle-related genes (p21, GADD45A, cyclin G2, MCM5, and histones) that suggested their putative involvement in ET-743-induced cell cycle arrest. These data indicate that ET-743 is a very potent anticancer drug showing dose-dependent cytostatic and proapoptotic effects through activation of two different signaling pathways, namely a transcription-dependent pathway leading to cell cycle arrest and a transcription-independent route leading to rapid apoptosis that involves mitochondria, JNK, and caspase-3."}
{"STANDARD_NAME":"LEE_AGING_MUSCLE_DN","SYSTEMATIC_NAME":"M1574","ORGANISM":"Mus musculus","PMID":"10464095","AUTHORS":"Lee CK,Klopp RG,Weindruch R,Prolla TA","EXACT_SOURCE":"Table 2S","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Downregulated in the gastrocnemius muscle of aged adult mice (30-month) vs young adult (5-month)","DESCRIPTION_FULL":"The gene expression profile of the aging process was analyzed in skeletal muscle of mice. Use of high-density oligonucleotide arrays representing 6347 genes revealed that aging resulted in a differential gene expression pattern indicative of a marked stress response and lower expression of metabolic and biosynthetic genes. Most alterations were either completely or partially prevented by caloric restriction, the only intervention known to retard aging in mammals. Transcriptional patterns of calorie-restricted animals suggest that caloric restriction retards the aging process by causing a metabolic shift toward increased protein turnover and decreased macromolecular damage."}
{"STANDARD_NAME":"ZHANG_PROLIFERATING_VS_QUIESCENT","SYSTEMATIC_NAME":"M16992","ORGANISM":"Homo sapiens","PMID":"14517420","AUTHORS":"Zhang HT,Gorn M,Smith K,Graham AP,Lau KK,Bicknell R","EXACT_SOURCE":"Table 2: Differential expression=arrow up","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes up-regulated in HDMEC cells (microvascular endothelium): proliferating vs quiescent cells.","DESCRIPTION_FULL":"Endothelial cells are known to be a rich source of transcriptional gene expression. Recent technological advances now permit the detailed profiling of mRNA expression using arrays of known cDNAs on blots. We have used such arrays to examine expression of mRNA by primary isolates of human foreskin microvascular endothelial cells in the proliferative and quiescent state. Cells were stimulated by a combination of known growth factors for these cells including epidermal growth factor (EGF), vascular endothelial growth factor (VEGF), and 'endothelial cell growth supplement (ECGS)' either alone or in combination. Analysis showed the expression of many mRNAs but of the 588 examined, only one, namely monocyte chemotactic protein-1 (MCP-1), showed a decrease on treatment with EGF. A combination of image grabbing followed by subtractive densitometry enabled identification of the mRNAs upregulated in proliferating endothelium. In consideration of the possibility of selective vascular targeting, of particular interest was the increase in expression of the mRNA for the cell surface proteins vascular endothelial (VE-) and neural (N-) cadherin and alpha5, alphav, beta1 and beta3 integrins. The alpha5 integrin offers a previously unrecognized opportunity for vascular targeting."}
{"STANDARD_NAME":"VERRECCHIA_RESPONSE_TO_TGFB1_C5","SYSTEMATIC_NAME":"M6470","ORGANISM":"Homo sapiens","PMID":"11279127","AUTHORS":"Verrecchia F,Chu ML,Mauviel A","EXACT_SOURCE":"Table 1: Cluster 5","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Cluster 5: ECM related genes up-regulated in dermal fibroblasts later than 30 min after TGFB1 [GeneID=7040] addition; decreased slowly after the peak at 120 min time point.","DESCRIPTION_FULL":"Despite major advances in the understanding of the intimate mechanisms of transforming growth factor-beta (TGF-beta) signaling through the Smad pathway, little progress has been made in the identification of direct target genes. In this report, using cDNA microarrays, we have focussed our attention on the characterization of extracellular matrix-related genes rapidly induced by TGF-beta in human dermal fibroblasts and attempted to identify the ones whose up-regulation by TGF-beta is Smad-mediated. For a gene to qualify as a direct Smad target, we postulated that it had to meet the following criteria: (1) rapid (30 min) and significant (at least 2-fold) elevation of steady-state mRNA levels upon TGF-beta stimulation, (2) activation of the promoter by both exogenous TGF-beta and co-transfected Smad3 expression vector, (3) up-regulation of promoter activity by TGF-beta blocked by both dominant-negative Smad3 and inhibitory Smad7 expression vectors, and (4) promoter transactivation by TGF-beta not possible in Smad3(-/-) mouse embryo fibroblasts. Using this stringent approach, we have identified COL1A2, COL3A1, COL6A1, COL6A3, and tissue inhibitor of metalloproteases-1 as definite TGF-beta/Smad3 targets. Extrapolation of this approach to other extracellular matrix-related gene promoters also identified COL1A1 and COL5A2, but not COL6A2, as novel Smad targets. Together, these results represent a significant step toward the identification of novel, early-induced Smad-dependent TGF-beta target genes in fibroblasts."}
{"STANDARD_NAME":"GERHOLD_ADIPOGENESIS_DN","SYSTEMATIC_NAME":"M1576","ORGANISM":"Mus musculus","PMID":"12021175","AUTHORS":"Gerhold DL,Liu F,Jiang G,Li Z,Xu J,Lu M,Sachs JR,Bagchi A,Fridman A,Holder DJ,Doebber TW,Berger J,Elbrecht A,Moller DE,Zhang BB","EXACT_SOURCE":"Table 3: Clusters 1-18","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Selected genes down-regulated during differentiation of 3T3-L1 cells (fibroblast) into adipocytes in response to adipogenic hormones.","DESCRIPTION_FULL":"PPAR gamma is an adipocyte-specific nuclear hormone receptor. Agonists of PPAR gamma, such as thiazolidinediones (TZDs), promote adipocyte differentiation and have insulin-sensitizing effects in animals and diabetic patients. Affymetrix oligonucleotide arrays representing 6347 genes were employed to profile the gene expression responses of mature 3T3-L1 adipocytes and differentiating preadipocytes to a TZD PPAR gamma agonist in vitro. The expression of 579 genes was significantly up- or down-regulated by more than 1.5-fold during differentiation and/or by treatment with TZD, and these genes were organized into 32 clusters that demonstrated concerted changes in expression of genes controlling cell growth or lipid metabolism. Quantitative PCR was employed to further characterize gene expression and led to the identification of beta-catenin as a new PPAR gamma target gene. Both mRNA and protein levels for beta-catenin were down-regulated in 3T3-L1 adipocytes compared with fibroblasts and were further decreased by treatment of adipocytes with PPAR gamma agonists. Treatment of db/db mice with a PPAR gamma agonist also resulted in reduction of beta-catenin mRNA levels in adipose tissue. These results suggest that beta-catenin plays an important role in the regulation of adipogenesis. Thus, the transcriptional patterns revealed in this study further the understanding of adipogenesis process and the function of PPAR gamma activation."}
{"STANDARD_NAME":"DELLA_RESPONSE_TO_TSA_AND_BUTYRATE","SYSTEMATIC_NAME":"M7912","ORGANISM":"Homo sapiens","PMID":"11423116","AUTHORS":"Della Ragione F,Criniti V,Della Pietra V,Borriello A,Oliva A,Indaco S,Yamamoto T,Zappia V","EXACT_SOURCE":"Table 1","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes up-regulated in HT-29 cells (colon cancer) by the combination of trichostatin A (TSA) and sodium butyrate [PubChem=5562;5222465].","DESCRIPTION_FULL":"A wealth of evidence correlates the chemopreventive activity of a fiber-rich diet with the production of butyrate. In order to identify the genes transcriptionally modulated by the molecule, we analyzed the expression profile of butyrate-treated colon cancer cells by means of cDNA expression arrays. Moreover, the effect of trichostatin A, a specific histone deacetylase inhibitor, was studied. A superimposable group of 23 genes out of 588 investigated is modulated by both butyrate and trichostatin A. Among them, a major target was tob-1, a gene involved in the control of cell cycle. tob-1 is also up-regulated by butyrate in a neuroblastoma-derived cell line, and its overexpression in the colon cells caused growth arrest. Our findings represent an extensive analysis of genes modulated by butyrate and identify completely new effectors of its biological activities."}
{"STANDARD_NAME":"RUAN_RESPONSE_TO_TNF_TROGLITAZONE_UP","SYSTEMATIC_NAME":"M1581","ORGANISM":"Mus musculus","PMID":"12732648","AUTHORS":"Ruan H,Pownall HJ,Lodish HF","EXACT_SOURCE":"Table 1: Fold-TNFa-TGZ >=1.3","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Adipocyte abundant genes up-regulated in 3T3-L1 cells (fibroblasts induced to differentiate to adipocytes) in response to troglitazone [PubChem=5591] and TNF [GeneID=7124].","DESCRIPTION_FULL":"Troglitazone (TGZ), a member of the thiazolidinedione class of anti-diabetic compounds and a peroxisome proliferator activator receptor-gamma (PPAR-gamma) agonist, restores systemic insulin sensitivity and improves the full insulin resistance syndrome in vivo. The mechanisms underlying its in vivo function are not understood. Here we investigated the potential functional interaction between PPAR-gamma and NF-kappaB in adipocytes. We show that TGZ selectively blocked tumor necrosis factor-alpha-induced and NF-kappaB-dependent repression of multiple adipocyte-specific genes and induction of growth phase and other genes. This occurs without interfering with NF-kappaB expression, activation, nuclear translocation, or DNA binding and without suppressing NF-kappaB-dependent survival signals. Notably, the expressions of some tumor necrosis factor-alpha-induced genes in adipocytes were unaffected by PPAR-gamma activation. In reporter gene assays in HeLa cells, ectopic expression of PPAR-gamma abolished induction of a NF-kappaB-responsive reporter gene by the p65 subunit (RelA) of NF-kappaB, and the inhibition was further enhanced in the presence of TGZ. Conversely, overexpression of p65 inhibited induction of a PPAR-gamma-responsive reporter gene by activated PPAR-gamma in a dose-dependent manner. The inhibitory effect was independent of the presence of NF-kappaB-binding sites in the promoter region. Other NF-kappaB family members, p50 and c-Rel as well as the S276A mutant of p65, blocked PPAR-gamma-mediated gene transcription less effectively. Thus, p65 antagonizes the transcriptional regulatory activity of PPAR-gamma in adipocytes, and PPAR-gamma activation can at least partially override the inhibitory effects of p65 on the expression of key adipocyte genes. Our data suggest that inhibition of NF-kappaB activity is a mechanism by which PPAR-gamma agonists improve insulin sensitivity in vivo and that adipocyte NF-kappaB is a potential therapeutic target for obesity-linked type 2 diabetes."}
{"STANDARD_NAME":"BURTON_ADIPOGENESIS_2","SYSTEMATIC_NAME":"M1582","ORGANISM":"Mus musculus","PMID":"15033539","AUTHORS":"Burton GR,Nagarajan R,Peterson CA,McGehee RE Jr","EXACT_SOURCE":"Table 1: cluster 2","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Strongly up-regulated at 8 h during differentiation of 3T3-L1 cells (fibroblast) into adipocytes.","DESCRIPTION_FULL":"During cellular differentiation and development, it is recognized that many complex molecular mechanisms as well as precise patterns of differentially expressed genes occur in directing precursor cells toward a given lineage. Using microarray-based technology, we examined gene expression across the course of 3T3-L1 adipocyte differentiation. Total cellular RNA was isolated at times 0, 2, 8, 16, 24, 48, and 96 h following treatment with either standard hormonal inducers of differentiation; insulin, dexamethasone, isobutylmethylxanthine (IDX), or IDX plus trichostatin A (TsA), a histone deacetylase inhibitor and potent adipogenic inhibitor. cRNA was synthesized from cellular RNA and hybridized to high density Affymetrix MG_U74Av2 microarray gene chips containing 12,488 cDNA/Expressed Sequence Tags (ESTs) probe sets. From the IDX-only treated cells, all probe sets that were either unchanged or differentially expressed less than 2-fold throughout differentiation with respect to time 0 preadipocytes were excluded from further analyses. This selection resulted in a net of 1686 transcripts, 859 were increased in expression, and 827 were decreased in expression at least 2-fold across differentiation. To focus in on genes that were more specific to differentiation, the same analysis was performed on IDX plus TsA-treated non-differentiating cells and all probe sets from the IDX-only group that exhibited similar expression profiles in the non-differentiating TsA-treated group were excluded leaving a total of 1016 transcripts that were regulated only under differentiating conditions. Six hundred and thirty-six of these transcripts were elevated at least 2-fold and 380 exhibited a decrease in expression relative to time 0 preadipocytes. This group of genes was further analyzed using hierarchical clustering and self-organizing maps and resulted in the identification of numerous genes not previously known to be regulated during adipocyte differentiation. Many of these genes may well represent novel adipogenic mediators and markers of adipogenesis."}
{"STANDARD_NAME":"XU_GH1_EXOGENOUS_TARGETS_UP","SYSTEMATIC_NAME":"M16128","ORGANISM":"Homo sapiens","PMID":"15845533","AUTHORS":"Xu XQ,Emerald BS,Goh EL,Kannan N,Miller LD,Gluckman PD,Liu ET,Lobie PE","EXACT_SOURCE":"Table 2: Up-regulated","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes up-regulated in MFCF-7 cells (breast cancer) by exogenous HG1 [GeneID=2688].","DESCRIPTION_FULL":"We have exploited a discrepancy in the oncogenic potential of autocrine and exogenous human growth hormone (hGH) in an attempt to identify molecules that could potentially be involved in oncogenic transformation of the human mammary epithelial cell. Microarray analysis of 19,000 human genes identified a subset of 305 genes in a human mammary carcinoma cell line that were remarkably different in their response to autocrine and exogenous hGH. Autocrine and exogenous hGH also regulated 167 common genes. Semiquantitative reverse transcription-PCR confirmed differential regulation of genes by either autocrine or exogenous hGH. Functional analysis of one of the identified autocrine hGH-regulated genes, TFF3, determined that its expression is sufficient to support anchorage-independent growth of human mammary carcinoma cells. Small interfering RNA-mediated knockdown of TFF3 concordantly abrogated anchorage-independent growth of mammary carcinoma cells and abrogated the ability of autocrine hGH to stimulate oncogenic transformation of immortalized human mammary epithelial cells. Further functional characterization of the identified subset of specifically autocrine hGH regulated genes will delineate additional novel oncogenes for the human mammary epithelial cell."}
{"STANDARD_NAME":"WU_HBX_TARGETS_3_DN","SYSTEMATIC_NAME":"M3518","ORGANISM":"Homo sapiens","PMID":"11439330","AUTHORS":"Wu CG,Salvay DM,Forgues M,Valerie K,Farnsworth J,Markin RS,Wang XW","EXACT_SOURCE":"Table 1: Down-regulated","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes down-regulated by expression of HBV X protein (HBVgp3) [GeneID=944566] both in SK-Hep-1 cells (hepatocellular carcinoma) and normal primary hepatocytes.","DESCRIPTION_FULL":"Hepatitis B virus (HBV) is a major risk factor for the development of hepatocellular carcinoma (HCC). HBV encodes the potentially oncogenic HBx protein, which mainly functions as a transcriptional co-activator involving in multiple gene deregulations. However, mechanisms underlying HBx-mediated oncogenicity remain unclear. To determine the role(s) of HBx in the early genesis of HCC, we utilized the NCI Oncochip microarray that contains 2208 human cDNA clones to examine the gene expression profiles in either freshly isolated normal primary adult human hepatocytes (Hhep) or an HCC cell line (SK-Hep-1) ecotopically expressing HBx via an adenoviral system. The gene expression profiles also were determined in liver samples from HBV-infected chronic active hepatitis patients when compared with normal liver samples. The microarray results were validated through Northern blot analysis of the expression of selected genes. Using reciprocally labeling hybridizations, scatterplot analysis of gene expression ratios in human primary hepatocytes expressing HBx demonstrates that microarrays are highly reproducible. The comparison of gene expression profiles between HBx-expressing primary hepatocytes and HBV-infected liver samples shows a consistent alteration of many cellular genes including a subset of oncogenes (such as c-myc and c-myb) and tumor suppressor genes (such as APC, p53, WAF1 and WT1). Furthermore, clustering algorithm analysis showed distinctive gene expression profiles in Hhep and SK-Hep-1 cells. Our findings are consistent with the hypothesis that the deregulation of cellular genes by oncogenic HBx may be an early event that favors hepatocyte proliferation during liver carcinogenesis."}
{"STANDARD_NAME":"SU_KIDNEY","SYSTEMATIC_NAME":"M5672","ORGANISM":"Homo sapiens","PMID":"11904358","AUTHORS":"Su AI,Cooke MP,Ching KA,Hakak Y,Walker JR,Wiltshire T,Orth AP,Vega RG,Sapinoso LM,Moqrich A,Patapoutian A,Hampton GM,Schultz PG,Hogenesch JB","GEOID":"GSE96","EXACT_SOURCE":"Table 1S: Max Tissue=Kidney","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes up-regulated specifically in human kidney tissue.","DESCRIPTION_FULL":"High-throughput gene expression profiling has become an important tool for investigating transcriptional activity in a variety of biological samples. To date, the vast majority of these experiments have focused on specific biological processes and perturbations. Here, we have generated and analyzed gene expression from a set of samples spanning a broad range of biological conditions. Specifically, we profiled gene expression from 91 human and mouse samples across a diverse array of tissues, organs, and cell lines. Because these samples predominantly come from the normal physiological state in the human and mouse, this dataset represents a preliminary, but substantial, description of the normal mammalian transcriptome. We have used this dataset to illustrate methods of mining these data, and to reveal insights into molecular and physiological gene function, mechanisms of transcriptional regulation, disease etiology, and comparative genomics. Finally, to allow the scientific community to use this resource, we have built a free and publicly accessible website (http://expression.gnf.org) that integrates data visualization and curation of current gene annotations."}
{"STANDARD_NAME":"GENTILE_UV_RESPONSE_CLUSTER_D2","SYSTEMATIC_NAME":"M12861","ORGANISM":"Homo sapiens","PMID":"12907719","AUTHORS":"Gentile M,Latonen L,Laiho M","GEOID":"GSE713","EXACT_SOURCE":"Table 2S: Cluster d2","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Cluster d2: genes down-regulated consistently in WS1 cells (fibroblast) between 6 h and 24 h after irradiation with high dose UV-C.","DESCRIPTION_FULL":"DNA damage caused by UV radiation initiates cellular recovery mechanisms, which involve activation of DNA damage response pathways, cell cycle arrest and apoptosis. To assess cellular transcriptional responses to UVC-induced DNA damage we compared time course responses of human skin fibroblasts to low and high doses of UVC radiation known to induce a transient cellular replicative arrest or apoptosis, respectively. UVC radiation elicited >3-fold changes in 460 out of 12,000 transcripts and 89% of these represented downregulated transcripts. Only 5% of the regulated genes were common to both low and high doses of radiation. Cells inflicted with a low dose of UVC exhibited transcription profiles demonstrating transient regulation followed by recovery, whereas the responses were persistent after the high dose. A detailed clustering analysis and functional classification of the targets implied regulation of biologically divergent responses and suggested involvement of transcriptional and translational machinery, inflammatory, anti-proliferative and anti-angiogenic responses. The data support the notion that UVC radiation induces prominent, dose-dependent downregulation of transcription. However, the data strongly suggest that transcriptional repression is also target gene selective. Furthermore, the results demonstrate that dose-dependent induction of cell cycle arrest and apoptosis by UVC radiation are transcriptionally highly distinct responses."}
{"STANDARD_NAME":"PAL_PRMT5_TARGETS_DN","SYSTEMATIC_NAME":"M5519","ORGANISM":"Mus musculus","PMID":"15485929","AUTHORS":"Pal S,Vishwanath SN,Erdjument-Bromage H,Tempst P,Sif S","EXACT_SOURCE":"Table 2S","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes down-regulated in NIH-3T3 cells (fibroblast) after knockdown of PRMT5 [GeneID=10419] by RNAi.","DESCRIPTION_FULL":"Protein arginine methyltransferases (PRMTs) have been implicated in transcriptional activation and repression, but their role in controlling cell growth and proliferation remains obscure. We have recently shown that PRMT5 can interact with flag-tagged BRG1- and hBRM-based hSWI/SNF chromatin remodelers and that both complexes can specifically methylate histones H3 and H4. Here we report that PRMT5 can be found in association with endogenous hSWI/SNF complexes, which can methylate H3 and H4 N-terminal tails, and show that H3 arginine 8 and H4 arginine 3 are preferred sites of methylation by recombinant and hSWI/SNF-associated PRMT5. To elucidate the role played by PRMT5 in gene regulation, we have established a PRMT5 antisense cell line and determined by microarray analysis that more genes are derepressed when PRMT5 levels are reduced. Among the affected genes, we show that suppressor of tumorigenicity 7 (ST7) and nonmetastatic 23 (NM23) are direct targets of PRMT5-containing BRG1 and hBRM complexes. Furthermore, we demonstrate that expression of ST7 and NM23 is reduced in a cell line that overexpresses PRMT5 and that this decrease in expression correlates with H3R8 methylation, H3K9 deacetylation, and increased transformation of NIH 3T3 cells. These findings suggest that the BRG1- and hBRM-associated PRMT5 regulates cell growth and proliferation by controlling expression of genes involved in tumor suppression."}
{"STANDARD_NAME":"VISALA_AGING_LYMPHOCYTE_DN","SYSTEMATIC_NAME":"M1583","ORGANISM":"Homo sapiens","PMID":"12618007","AUTHORS":"Visala Rao D,Boyle GM,Parsons PG,Watson K,Jones GL","EXACT_SOURCE":"Table 3","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes down-regulated in peripheral lymphocytes from old individuals compared to those from young donors.","DESCRIPTION_FULL":"Ageing results in a progressive, intrinsic and generalised imbalance of the control of regulatory systems. A key manifestation of this complex biological process includes the attenuation of the universal stress response. Here we provide the first global assessment of the ageing process as it affects the heat shock response, utilising human peripheral lymphocytes and cDNA microarray analysis. The genomic approach employed in our preliminary study was supplemented with a proteomic approach. In addition, the current study correlates the in vivo total antioxidant status with the age-related differential gene expression as well as the translational kinetics of heat shock proteins (hsps). Most of the genes encoding stress response proteins on the 4224 element microarray used in this study were significantly elevated after heat shock treatment of lymphocytes obtained from both young and old individuals albeit to a greater extent in the young. Cell signaling and signal transduction genes as well as some oxidoreductases showed varied response. Results from translational kinetics of induction of major hsps, from 0 to 24 h recovery period were broadly consistent with the differential expression of HSC 70 and HSP 40 genes. Total antioxidant levels in plasma from old individuals were found to be significantly lower by comparison with young, in agreement with the widely acknowledged role of oxidant homeostasis in the ageing process."}
{"STANDARD_NAME":"CHEN_ETV5_TARGETS_SERTOLI","SYSTEMATIC_NAME":"M1586","ORGANISM":"Mus musculus","PMID":"16107850","AUTHORS":"Chen C,Ouyang W,Grigura V,Zhou Q,Carnes K,Lim H,Zhao GQ,Arber S,Kurpios N,Murphy TL,Cheng AM,Hassell JA,Chandrashekar V,Hofmann MC,Hess RA,Murphy KM","GEOID":"GSE2205","EXACT_SOURCE":"Table 4S","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes down-regulated in Sertoli cells from both 4 and 10 week old ETV5 [GeneID=2119] knockout mice.","DESCRIPTION_FULL":"Division of spermatogonial stem cells produces daughter cells that either maintain their stem cell identity or undergo differentiation to form mature sperm. The Sertoli cell, the only somatic cell within seminiferous tubules, provides the stem cell niche through physical support and expression of surface proteins and soluble factors. Here we show that the Ets related molecule (ERM) is expressed exclusively within Sertoli cells in the testis and is required for spermatogonial stem cell self-renewal. Mice with targeted disruption of ERM have a loss of maintenance of spermatogonial stem cell self-renewal without a block in normal spermatogenic differentiation and thus have progressive germ-cell depletion and a Sertoli-cell-only syndrome. Microarray analysis of primary Sertoli cells from ERM-deficient mice showed alterations in secreted factors known to regulate the haematopoietic stem cell niche. These results identify a new function for the Ets family transcription factors in spermatogenesis and provide an example of transcriptional control of a vertebrate stem cell niche."}
{"STANDARD_NAME":"MOREIRA_RESPONSE_TO_TSA_UP","SYSTEMATIC_NAME":"M15501","ORGANISM":"Homo sapiens","PMID":"14606959","AUTHORS":"Moreira JM,Scheipers P,Sørensen P","EXACT_SOURCE":"Fig. 7A: arrow up","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Up-regulated in CD4+ [GeneID=920] T lymphocytes after 4 h treatment with 100 nM TSA [PubChem=5562].","DESCRIPTION_FULL":"BACKGROUND: Histone deacetylase inhibitors (HDACIs) induce hyperacetylation of core histones modulating chromatin structure and affecting gene expression. These compounds are also able to induce growth arrest, cell differentiation, and apoptotic cell death of tumor cells in vitro as well as in vivo. Even though several genes modulated by HDAC inhibition have been identified, those genes clearly responsible for the biological effects of these drugs have remained elusive. We investigated the pharmacological effect of the HDACI and potential anti-cancer agent Trichostatin A (TSA) on primary T cells. METHODS: To ascertain the effect of TSA on resting and activated T cells we used a model system where an enriched cell population consisting of primary T-cells was stimulated in vitro with immobilized anti-CD3/anti-CD28 antibodies whilst exposed to pharmacological concentrations of Trichostatin A. RESULTS: We found that this drug causes a rapid decline in cytokine expression, accumulation of cells in the G1 phase of the cell cycle, and induces apoptotic cell death. The mitochondrial respiratory chain (MRC) plays a critical role in the apoptotic response to TSA, as dissipation of mitochondrial membrane potential and reactive oxygen species (ROS) scavengers block TSA-induced T-cell death. Treatment of T cells with TSA results in the altered expression of a subset of genes involved in T cell responses, as assessed by microarray gene expression profiling. We also observed up- as well as down-regulation of various costimulatory/adhesion molecules, such as CD28 and CD154, important for T-cell function. CONCLUSIONS: Taken together, our findings indicate that HDAC inhibitors have an immunomodulatory potential that may contribute to the potency and specificity of these antineoplastic compounds and might be useful in the treatment of autoimmune disorders."}
{"STANDARD_NAME":"IVANOVA_HEMATOPOIESIS_STEM_CELL_SHORT_TERM","SYSTEMATIC_NAME":"M14523","ORGANISM":"Mus musculus","PMID":"12228721","AUTHORS":"Ivanova NB,Dimos JT,Schaniel C,Hackney JA,Moore KA,Lemischka IR","EXACT_SOURCE":"Excel Table 2S: Expression Cluster=ST-HSC Shared","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes in the expression cluster 'ST-HSC Shared': up-regulated in short term hematopoietic stem cells (ST-HSC) from adult bone marrow and fetal liver.","DESCRIPTION_FULL":"Mechanisms regulating self-renewal and cell fate decisions in mammalian stem cells are poorly understood. We determined global gene expression profiles for mouse and human hematopoietic stem cells and other stages of the hematopoietic hierarchy. Murine and human hematopoietic stem cells share a number of expressed gene products, which define key conserved regulatory pathways in this developmental system. Moreover, in the mouse, a portion of the genetic program of hematopoietic stem cells is shared with embryonic and neural stem cells. This overlapping set of gene products represents a molecular signature of stem cells."}
{"STANDARD_NAME":"TAKAO_RESPONSE_TO_UVB_RADIATION_DN","SYSTEMATIC_NAME":"M17860","ORGANISM":"Homo sapiens","PMID":"11982916","AUTHORS":"Takao J,Ariizumi K,Dougherty II,Cruz PD Jr","EXACT_SOURCE":"Table 2","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes down-regulated in primary tissue culture of epidermal kerationcytes after UVB irradiation.","DESCRIPTION_FULL":"Ultraviolet B (UVB) radiation is an important inducer of many biologic changes in skin, of which keratinocytes are a key target. To gain better insight into changes in gene expression generated in the early phase after UVB exposure, we used complementary RNA (cRNA) microarray hybridization to compare differences in mRNA expression of UVB-irradiated (single dose of 100 J/m2 broad-band UVB) and sham-irradiated primary cultured human keratinocytes. Six hours after irradiation, total RNA was isolated from keratinocytes, and cRNA was synthesized and hybridized to a GeneChip expression array (Affymetrix) consisting of 6800 genes. Based on a threshold of > twofold change, 187 genes (2.8%) were designated to be the most UVB-responsive. Surprisingly, none of these genes had been shown previously to be modulated by UVB. Conversely, several genes in the microarray that had been reported previously to be UVB- responsive by other methods showed less (< twofold) or no change. Northern blotting of seven differentially modulated genes produced results similar to those derived from microarray technology, thereby validating the accuracy of screening. Clustering based on known or likely functions indicated that among 88 upregulated genes, nine encode for cytochrome c subunits, six for ribosomal proteins, and two for regulators of apoptosis. By contrast, many of the 99 downregulated genes are involved in transcription, differentiation and transport. These findings indicate that keratinocytes respond to a single low dose of broad-band UVB irradiation by enhancing processes involved in energy production and translation, while suppressing those related to transcription, differentiation and transport."}
{"STANDARD_NAME":"MARIADASON_RESPONSE_TO_BUTYRATE_SULINDAC_4","SYSTEMATIC_NAME":"M1588","ORGANISM":"Homo sapiens","PMID":"10969808","AUTHORS":"Mariadason JM,Corner GA,Augenlicht LH","EXACT_SOURCE":"Suppl. File 2: cluster 4","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Cluster 4: genes down-regulated in SW260 cells (colon cancer) by sodium butyrate and sulindac [PubChem=5222465;5352].","DESCRIPTION_FULL":"The short-chain fatty acid butyrate, produced by microbial fermentation of dietary fiber in the large intestine, is a physiological regulator of major pathways of colonic epithelial cell maturation: cell cycle arrest, lineage-specific differentiation, and apoptosis. Microarray analysis of 8,063 sequences demonstrated a complex cascade of reprogramming of SW620 colonic epithelial cells upon treatment with butyrate characterized by the progressive recruitment of gene sets as a function of time. Comparison with the effects of trichostatin A, in conjunction with differences in the kinetics of alteration of histone acetylation induced by butyrate and trichostatin A, identified subsets of induced and repressed genes likely coordinately regulated by altered histone acetylation. The butyrate response was also compared in detail with that of sulindac, a nonsteroidal anti-inflammatory drug with significant chemopreventive activity for colon cancer, and curcumin, a component of mustard and curry structurally and functionally related to sulindac that also has chemopreventive activity. Although gene clusters were identified that showed similar responses to butyrate and sulindac, the data were characterized by the extensive differences in the effects of the two agents. This was striking for functional classes of genes involved in signaling pathways and in cell cycle progression, although butyrate and sulindac induce a similar G0-G1 arrest, elevation of beta-catenin-Tcf signaling, and apoptotic cascade. As regards cell cycle arrest, the underlying mechanism in response to butyrate was most similar to that of the Caco-2 cell line that had spontaneously undergone a G0-G1 arrest and least similar to the G2-M arrest stimulated by curcumin. Thus, high-throughput microarray analysis of gene expression profiles can be used to characterize and distinguish the mechanisms of response of colonic epithelial cells to physiological and pharmacological inducers of cell maturation. This has important implications for characterization of chemopreventive agents and recognition of potential toxicity and synergies. The data bases, gene clusters, and analyses are available at http:// sequence.aecom.yu.edu/genome/."}
{"STANDARD_NAME":"ZHENG_RESPONSE_TO_ARSENITE_UP","SYSTEMATIC_NAME":"M1589","ORGANISM":"Homo sapiens","PMID":"12679051","AUTHORS":"Zheng XH,Watts GS,Vaught S,Gandolfi AJ","EXACT_SOURCE":"Table 1A","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Up-regulated in HEK293 cells (kidney epithelium) by treatment with sodium arsenite [PubChem=26435].","DESCRIPTION_FULL":"Chronic, low-level exposure to arsenic frequently results in skin, lung, bladder, and kidney cancer. Since arsenic is primarily excreted via the kidney, this study focused on this target tissue. Gene array was used as a sensitive low-level monitor of the impact of arsenic on this target tissue. Arsenite [As(III)] was chosen as the chemical species of arsenic since As(III) species are touted as the cellular toxic form of arsenic. Human embryonic kidney cell line HEK293 cells were incubated with 1, 10, and 25 microM arsenite [As(III)] for 6 or 24 h. Total RNA from treated and control cells was isolated, reverse transcribed, and labeled with Cy3 or Cy5, and hybridized to a human cDNA microarray. Hybridizations were performed four times using independent total RNA preparations to ensure reproducibility. Raw data from 10 and 25 microM treated cells exposed for 6 h was normalized within, and between, hybridizations followed by identification of genes affected by arsenite exposure based on practical significance (2-fold change up or down) and reproducibility (affected in four of six measurements). In these studies, 20 genes (HMOX1, MT1E, or FOSL1, etc.) were up-regulated, and 19 genes (MYC, JAK1, or CENPE, etc.) were down-regulated. Genes identified at 10 and 25 microM arsenic exposure were then examined after 1 microM treatment for 6 or 24 h. Expression of affected genes showed a dose-dependent (1-25 microM) trend that was apparently not time-dependent (6 vs. 24 h). The affected genes indicate that even this realistic, low-level arsenite exposure was recognized by the HEK293 cells (e.g. metallothionein genes) and produced an oxidative stress (e.g. heme oxygenase gene). These affected genes were characterized as stress response genes, proto-oncogene, signaling molecules, transcription factors, chemokine receptors, proteolytic enzymes, ESTs, and unknown genes. These findings imply that arsenite induces complex cellular injury and the cellular adaptation to As(III) is associated with alterations in the expression of many genes."}
{"STANDARD_NAME":"DAZARD_UV_RESPONSE_CLUSTER_G4","SYSTEMATIC_NAME":"M10885","ORGANISM":"Homo sapiens","PMID":"12771951","AUTHORS":"Dazard JE,Gal H,Amariglio N,Rechavi G,Domany E,Givol D","EXACT_SOURCE":"Table 2S: Cluster#=4","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Cluster G4: genes increasingly up-regulated in NHEK cells (normal keratinocyte) after 12 h time point after UV-B irradiation.","DESCRIPTION_FULL":"To gain insight into the transformation of epidermal cells into squamous carcinoma cells (SCC), we compared the response to ultraviolet B radiation (UVB) of normal human epidermal keratinocytes (NHEK) versus their transformed counterpart, SCC, using biological and molecular profiling. DNA microarray analyses (Affymetrix), approximately 12000 genes) indicated that the major group of upregulated genes in keratinocytes fall into three categories: (i). antiapoptotic and cell survival factors, including chemokines of the CXC/CC subfamilies (e.g. IL-8, GRO-1, -2, -3, SCYA20), growth factors (e.g. HB-EGF, CTGF, INSL-4), and proinflammatory mediators (e.g. COX-2, S100A9), (ii). DNA repair-related genes (e.g. GADD45, ERCC, BTG-1, Histones), and (iii). ECM proteases (MMP-1, -10). The major downregulated genes are DeltaNp63 and PUMILIO, two potential markers for the maintenance of keratinocyte stem cells. NHEK were found to be more resistant than SCC to UVB-induced apoptosis and this resistance was mainly because of the protection from cell death by secreted survival factors, since it can be transferred from NHEK to SCC cultures by the conditioned medium. Whereas the response of keratinocytes to UVB involved regulation of key checkpoint genes (p53, MDM2, p21(Cip1), DeltaNp63), as well as antiapoptotic and DNA repair-related genes - no or little regulation of these genes was observed in SCC. The effect of UVB on NHEK and SCC resulted in upregulation of 251 and 127 genes, respectively, and downregulation of 322 genes in NHEK and 117 genes in SCC. To further analyse these changes, we used a novel unsupervised coupled two-way clustering method that allowed the identification of groups of genes that clearly partitioned keratinocytes from SCC, including a group of genes whose constitutive expression levels were similar before UVB. This allowed the identification of discriminating genes not otherwise revealed by simple static comparison in the absence of UVB irradiation. The implication of the changes in gene profile in keratinocytes for epithelial cancer is discussed."}
{"STANDARD_NAME":"GENTILE_UV_RESPONSE_CLUSTER_D7","SYSTEMATIC_NAME":"M16093","ORGANISM":"Homo sapiens","PMID":"12907719","AUTHORS":"Gentile M,Latonen L,Laiho M","GEOID":"GSE713","EXACT_SOURCE":"Table 2S: Cluster d7","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Cluster d7: genes progressively down-regulated in WS1 cells (fibroblast) through 18 h after irradiation with high dose UV-C.","DESCRIPTION_FULL":"DNA damage caused by UV radiation initiates cellular recovery mechanisms, which involve activation of DNA damage response pathways, cell cycle arrest and apoptosis. To assess cellular transcriptional responses to UVC-induced DNA damage we compared time course responses of human skin fibroblasts to low and high doses of UVC radiation known to induce a transient cellular replicative arrest or apoptosis, respectively. UVC radiation elicited >3-fold changes in 460 out of 12,000 transcripts and 89% of these represented downregulated transcripts. Only 5% of the regulated genes were common to both low and high doses of radiation. Cells inflicted with a low dose of UVC exhibited transcription profiles demonstrating transient regulation followed by recovery, whereas the responses were persistent after the high dose. A detailed clustering analysis and functional classification of the targets implied regulation of biologically divergent responses and suggested involvement of transcriptional and translational machinery, inflammatory, anti-proliferative and anti-angiogenic responses. The data support the notion that UVC radiation induces prominent, dose-dependent downregulation of transcription. However, the data strongly suggest that transcriptional repression is also target gene selective. Furthermore, the results demonstrate that dose-dependent induction of cell cycle arrest and apoptosis by UVC radiation are transcriptionally highly distinct responses."}
{"STANDARD_NAME":"EHRLICH_ICF_SYNDROM_DN","SYSTEMATIC_NAME":"M2375","ORGANISM":"Homo sapiens","PMID":"11741835","AUTHORS":"Ehrlich M,Buchanan KL,Tsien F,Jiang G,Sun B,Uicker W,Weemaes CM,Smeets D,Sperling K,Belohradsky BH,Tommerup N,Misek DE,Rouillard JM,Kuick R,Hanash SM","EXACT_SOURCE":"Table 2-4: FC < 0","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Down-regulated in B lymphocytes from patients with ICF syndrom caused by mutations in DNMT3B [GeneID=1789] compared to normals.","DESCRIPTION_FULL":"ICF (immunodeficiency, centromeric region instability and facial anomalies) is a recessive disease caused by mutations in the DNA methyltransferase 3B gene (DNMT3B). Patients have immunodeficiency, chromosome 1 (Chr1) and Chr16 pericentromeric anomalies in mitogen-stimulated lymphocytes, a small decrease in overall genomic 5-methylcytosine levels and much hypomethylation of Chr1 and Chr16 juxtacentromeric heterochromatin. Microarray expression analysis was done on B-cell lymphoblastoid cell lines (LCLs) from ICF patients with diverse DNMT3B mutations and on control LCLs using oligonucleotide arrays for approximately 5600 different genes, 510 of which showed a lymphoid lineage-restricted expression pattern among several different lineages tested. A set of 32 genes had consistent and significant ICF-specific changes in RNA levels. Half of these genes play a role in immune function. ICF-specific increases in immunoglobulin (Ig) heavy constant mu and delta RNA and cell surface IgM and IgD and decreases in Ig(gamma) and Ig(alpha) RNA and surface IgG and IgA indicate inhibition of the later steps of lymphocyte maturation. ICF-specific increases were seen in RNA for RGS1, a B-cell specific inhibitor of G-protein signaling implicated in negative regulation of B-cell migration, and in RNA for the pro-apoptotic protein kinase C eta gene. ICF-associated decreases were observed in RNAs encoding proteins involved in activation, migration or survival of lymphoid cells, namely, transcription factor negative regulator ID3, the enhancer-binding MEF2C, the iron regulatory transferrin receptor, integrin beta7, the stress protein heme oxygenase and the lymphocyte-specific tumor necrosis factor receptor family members 7 and 17. No differences in promoter methylation were seen between ICF and normal LCLs for three ICF upregulated genes and one downregulated gene by a quantitative methylation assay [combined bisulfite restriction analysis (COBRA)]. Our data suggest that DNMT3B mutations in the ICF syndrome cause lymphogenesis-associated gene dysregulation by indirect effects on gene expression that interfere with normal lymphocyte signaling, maturation and migration."}
{"STANDARD_NAME":"VERRECCHIA_DELAYED_RESPONSE_TO_TGFB1","SYSTEMATIC_NAME":"M16643","ORGANISM":"Homo sapiens","PMID":"11279127","AUTHORS":"Verrecchia F,Chu ML,Mauviel A","EXACT_SOURCE":"Table 1: Clusters 4-6","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"ECM related genes up-regulated later than 30 min following addition of TGFB1 [GeneID=7040] in dermal fibroblasts.","DESCRIPTION_FULL":"Despite major advances in the understanding of the intimate mechanisms of transforming growth factor-beta (TGF-beta) signaling through the Smad pathway, little progress has been made in the identification of direct target genes. In this report, using cDNA microarrays, we have focussed our attention on the characterization of extracellular matrix-related genes rapidly induced by TGF-beta in human dermal fibroblasts and attempted to identify the ones whose up-regulation by TGF-beta is Smad-mediated. For a gene to qualify as a direct Smad target, we postulated that it had to meet the following criteria: (1) rapid (30 min) and significant (at least 2-fold) elevation of steady-state mRNA levels upon TGF-beta stimulation, (2) activation of the promoter by both exogenous TGF-beta and co-transfected Smad3 expression vector, (3) up-regulation of promoter activity by TGF-beta blocked by both dominant-negative Smad3 and inhibitory Smad7 expression vectors, and (4) promoter transactivation by TGF-beta not possible in Smad3(-/-) mouse embryo fibroblasts. Using this stringent approach, we have identified COL1A2, COL3A1, COL6A1, COL6A3, and tissue inhibitor of metalloproteases-1 as definite TGF-beta/Smad3 targets. Extrapolation of this approach to other extracellular matrix-related gene promoters also identified COL1A1 and COL5A2, but not COL6A2, as novel Smad targets. Together, these results represent a significant step toward the identification of novel, early-induced Smad-dependent TGF-beta target genes in fibroblasts."}
{"STANDARD_NAME":"SARTIPY_NORMAL_AT_INSULIN_RESISTANCE_UP","SYSTEMATIC_NAME":"M1592","ORGANISM":"Mus musculus","PMID":"14530283","AUTHORS":"Sartipy P,Loskutoff DJ","EXACT_SOURCE":"Table 2","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes up-regulated in 3T3-L1 cells (adipocyte) by insulin [GeneID=3630] which continued to respond normally to insulin in the insulin resistant cells.","DESCRIPTION_FULL":"We have employed microarray technology using RNA from normal 3T3-L1 adipocytes and from 3T3-L1 adipocytes made insulin-resistant by treatment with tumor necrosis factor-alpha to identify a new class of insulin-responsive genes. These genes continued to respond normally to insulin even though the adipocytes themselves were metabolically insulin-resistant, i.e. they displayed a significantly decreased rate of insulin-stimulated glucose uptake. Approximately 12,000 genes/expressed sequence tags (ESTs) were screened. Of these, 40 genes/ESTs were identified that became insulin-resistant as expected (e.g. Socs-3, junB, and matrix metalloproteinase-11). However, 61 genes/ESTs continued to respond normally to insulin. Although some of these genes were previously shown to be regulated by insulin (e.g. Glut-1 and beta3-adrenergic receptor), other novel insulin-sensitive genes were also identified (e.g. Egr-1, epiregulin, Fra-1, and ABCA1). Real-time reverse transcription-PCR analysis confirmed the expression patterns of several of the differentially expressed genes. One gene that remained insulin-sensitive in the insulin-resistant adipocytes is the transcription factor Egr-1. Using an antisense strategy, we show that tissue factor and macrophage colony-stimulating factor, two cardiovascular risk factors, are downstream EGR-1 target genes in the adipocyte. Taken together, these data support the hypothesis that some signaling pathways remain insulin-sensitive in metabolically insulin-resistant adipocytes. These pathways may promote abnormal gene expression in hyperinsulinemic states like obesity and type II diabetes and thus may contribute to pathologies associated with these conditions."}
{"STANDARD_NAME":"MULLIGAN_NTF3_SIGNALING_VIA_INSR_AND_IGF1R_UP","SYSTEMATIC_NAME":"M1593","ORGANISM":"Mus musculus","PMID":"12213819","AUTHORS":"Mulligan C,Rochford J,Denyer G,Stephens R,Yeo G,Freeman T,Siddle K,O'Rahilly S","EXACT_SOURCE":"Table 1A","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes similarly up-regulated in 3T3-L1 cells (fibroblasts able to differentiate to adipocytes) upon stimulation of INSR or IGFR1 by NTF3 [GeneID=3643;3480;4908].","DESCRIPTION_FULL":"Insulin and insulin-like growth factor-1 (IGF-1) act through highly homologous receptors that engage similar intracellular signaling pathways, yet these hormones serve largely distinct physiological roles in the control of metabolism and growth, respectively. In an attempt to uncover the molecular mechanisms underlying their divergent functions, we compared insulin receptor (IR) and IGF-1 receptor (IGF-1R) regulation of gene expression by microarray analysis, using 3T3-L1 cells expressing either TrkC/IR or TrkC/IGF-1R chimeric receptors to ensure the highly selective activation of each receptor tyrosine kinase. Following stimulation of the chimeric receptors for 4 h, we detected 11 genes to be differentially regulated, of which 10 were up-regulated to a greater extent by the IGF-1R. These included genes involved in adhesion, transcription, transport, and proliferation. The expression of mRNA encoding heparin-binding epidermal growth factor-like growth factor (HB-EGF), a potent mitogen, was markedly increased by IGF-1R but not IR activation. This effect was dependent on MAPK, but not phosphatidylinositol 3-kinase, and did not require an autocrine loop through the epidermal growth factor receptor. HB-EGF mitogenic activity was detectable in the medium of 3T3-L1 preadipocytes expressing activated IGF-1R but not IR, indicating that the transcriptional response is accompanied by a parallel increase in mature HB-EGF protein. The differential abilities of the IR and IGF-1R tyrosine kinases to stimulate the synthesis and release of a growth factor may provide, at least in part, an explanation for the greater role of the IGF-1R in the control of cellular proliferation."}
{"STANDARD_NAME":"HENDRICKS_SMARCA4_TARGETS_DN","SYSTEMATIC_NAME":"M7914","ORGANISM":"Homo sapiens","PMID":"14673169","AUTHORS":"Hendricks KB,Shanahan F,Lees E","EXACT_SOURCE":"Table A1: repressed","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes down-regulated in ALAB cells (breast cancer) upon reintroduction of SMARCA4 [GeneID=6597] expressed off adenoviral vector.","DESCRIPTION_FULL":"Human BRG1, a subunit of the Swi/Snf chromatin remodeling apparatus, has been implicated in regulation of cellular proliferation and is a candidate tumor suppressor. Reintroduction of BRG1 into a breast tumor cell line, ALAB, carrying a defined mutation in the BRG1 gene, induced growth arrest. Gene expression data revealed that the arrest may in part be accounted for by down-regulation of select E2F target genes such as cyclin E, but more dramatically, by up-regulation of mRNAs for the cyclin-dependent kinase inhibitors p21 and p15. Protein levels of both p15 and p21 were induced, and p21 protein was recruited to a complex with cyclin-dependent kinase, CDK2, to inhibit its activity. BRG1 can associate with the p21 promoter in a p53-independent manner, suggesting that the induction of p21 by BRG1 may be direct. Further, using microarray and real-time PCR analysis we identified several novel BRG1-regulated genes. Our work provides further evidence for a role for BRG1 in the regulation of several genes involved in key steps in tumorigenesis and has revealed a potential mechanism for BRG1-induced growth arrest."}
{"STANDARD_NAME":"KANG_DOXORUBICIN_RESISTANCE_DN","SYSTEMATIC_NAME":"M3323","ORGANISM":"Homo sapiens","PMID":"14734480","AUTHORS":"Kang HC,Kim IJ,Park JH,Shin Y,Ku JL,Jung MS,Yoo BC,Kim HK,Park JG","EXACT_SOURCE":"Table 3A, 3B","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes down-regulated in gastric cancer cell lines: doxorubicin [PubChem=31703] resistant vs sensitive.","DESCRIPTION_FULL":"PURPOSE: A major obstacle in chemotherapy is treatment failure due to anticancer drug resistance. The emergence of acquired resistance results from host factors and genetic or epigenetic changes in the cancer cells. The purpose of this study was to identify differentially expressed genes associated with acquisition of resistance in human gastric cancer cells. EXPERIMENTAL DESIGN: We performed global gene expression analysis in the acquired drug-resistant gastric cancer cell lines to the commonly used drugs 5-fluorouracil, doxorubicin, and cisplatin using Affymetrix HG-U133A microarray. The gene expression patterns of 10 chemoresistant gastric cancer cell lines were compared with those of four parent cell lines using fold-change and Wilcoxon's test for data analysis. RESULTS: We identified over 250 genes differentially expressed in 5-fluorouracil-, cisplatin-, or doxorubicin-resistant gastric cancer cell lines. Our expression analysis also identified eight multidrug resistance candidate genes that were associated with resistance to two or more of the tested chemotherapeutic agents. Among these, midkine (MDK), a heparin-binding growth factor, was overexpressed in all drug-resistant cell lines, strongly suggesting that MDK might contribute to multidrug resistance in gastric cancer cells. CONCLUSIONS: Our investigation provides comprehensive gene information associated with acquired resistance to anticancer drugs in gastric cancer cells and a basis for additional functional studies."}
{"STANDARD_NAME":"SESTO_RESPONSE_TO_UV_C0","SYSTEMATIC_NAME":"M459","ORGANISM":"Homo sapiens","PMID":"11867738","AUTHORS":"Sesto A,Navarro M,Burslem F,Jorcano JL","EXACT_SOURCE":"Table 3S: Cluster=0","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Cluster 0: genes changed in primary keratinocytes by UVB irradiation.","DESCRIPTION_FULL":"UV radiation is the most important environmental skin aggressor, causing cancer and other problems. This paper reports the use of oligonucleotide microarray technology to determine changes in gene expression in human keratinocytes after UVB treatment. Examination of the effects of different doses at different times after irradiation gave a global picture of the keratinocyte response to this type of insult. Five hundred thirty-nine regulated transcripts were found and organized into nine different clusters depending on behavior patterns. Classification of these genes into 23 functional categories revealed that several biological processes are globally affected by UVB. In addition to confirming a majority up-regulation of the transcripts related to the UV-specific inflammatory and stress responses, significant increases were seen in the expression of genes involved in basal transcription, splicing, and translation as well as in the proteasome-mediated degradation category. On the other hand, those transcripts belonging to the metabolism and adhesion categories were strongly downregulated. These results demonstrate the complexity of the transcriptional profile of the UVB response, describe several cellular processes previously not known to be affected by UV irradiation, and serve as a basis for the global characterization of UV-regulated genes and pathways."}
{"STANDARD_NAME":"CHEN_PDGF_TARGETS","SYSTEMATIC_NAME":"M1598","ORGANISM":"Mus musculus","PMID":"14981515","AUTHORS":"Chen WV,Delrow J,Corrin PD,Frazier JP,Soriano P","EXACT_SOURCE":"Table 1: PDGF = Ind","CHIP":"Mouse_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Up-regulated PDGF targets identified by a gene-trap screen.","DESCRIPTION_FULL":"We developed a versatile, high-throughput genetic screening strategy by coupling gene mutagenesis and expression profiling technologies. Using a retroviral gene-trap vector optimized for efficient mutagenesis and cloning, we randomly disrupted genes in mouse embryonic stem (ES) cells and amplified them to construct a cDNA microarray. With this gene-trap array, we show that transcriptional target genes of platelet-derived growth factor (PDGF) can be efficiently and reliably identified in physiologically relevant cells and are immediately accessible to genetic studies to determine their in vivo roles and relative contributions to PDGF-regulated developmental processes. The same platform can be used to search for genes of specific biological relevance in a broad array of experimental settings, providing a fast track from gene identification to functional validation."}
{"STANDARD_NAME":"MCCLUNG_CREB1_TARGETS_UP","SYSTEMATIC_NAME":"M6920","ORGANISM":"Mus musculus","PMID":"14566342","AUTHORS":"McClung CA,Nestler EJ","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes up-regulated in the nucleus accumbens (a major reward center in the brain) 8 weeks after induction of CREB1 [GeneID=1385] expression in a transgenic Tet-Off system.","DESCRIPTION_FULL":"DeltaFosB (a truncated form of FosB) and CREB (cAMP response element binding protein) are transcription factors induced in the brain's reward pathways after chronic exposure to drugs of abuse. However, their mechanisms of action and the genes they regulate remain unclear. Using microarray analysis in the nucleus accumbens of inducible transgenic mice, we found that CREB and a dominant-negative CREB have opposite effects on gene expression, as do prolonged expression of DeltaFosB and the activator protein-1 (AP-1) antagonist DeltacJun. However, unlike CREB, short-term and prolonged DeltaFosB induction had opposing effects on gene expression. Gene expression induced by short-term DeltaFosB and by CREB was strikingly similar, and both reduced the rewarding effects of cocaine, whereas prolonged DeltaFosB expression increased drug reward. Gene expression after a short cocaine treatment was more dependent on CREB, whereas gene expression after a longer cocaine treatment became increasingly DeltaFosB dependent. These findings help define the molecular functions of CREB and DeltaFosB and identify clusters of genes that contribute to cocaine addiction."}
{"STANDARD_NAME":"WEIGEL_OXIDATIVE_STRESS_BY_HNE_AND_TBH","SYSTEMATIC_NAME":"M7899","ORGANISM":"Homo sapiens","PMID":"12419474","AUTHORS":"Weigel AL,Handa JT,Hjelmeland LM","EXACT_SOURCE":"Table 3","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Oxidative stress genes down-regulated in ARPE-19 cells (retinal pigmented epithelium) in response to HNE and tBH [PubChem=5283344;6410].","DESCRIPTION_FULL":"Oxidative stress plays a key role in aging diseases of the posterior pole of the eye such as age-related macular degeneration. The oxidative stress response of in vitro RPE cells has been studied for a small number of genes. However, a comprehensive transcriptional response has yet to be elucidated. The purpose of this study was to determine if the transcription of a common set of genes is altered by exposure of ARPE-19 cells to three major generators of oxidative stress, hydrogen peroxide (H2O2), 4-hydroxynonenal (HNE), and tert-butylhydroperoxide (tBH). As expected, a common response was observed that included 35 genes differentially regulated by all three treatments. Of these, only one gene was upregulated, and only by one oxidant, while all other responses were downregulation. The majority of these genes fell into five functional categories: apoptosis, cell cycle regulation, cell-cell communication, signal transduction, and transcriptional regulation. Additionally, a large number of genes were differentially regulated by one oxidant only, including the majority of the conventional oxidative stress response genes present on the Clontech Human 1.2 microarray. This study raises questions regarding the generality of results that involve the use of a single oxidant and a single cell culture condition."}
{"STANDARD_NAME":"TSENG_IRS1_TARGETS_DN","SYSTEMATIC_NAME":"M13907","ORGANISM":"Mus musculus","PMID":"15895078","AUTHORS":"Tseng YH,Butte AJ,Kokkotou E,Yechoor VK,Taniguchi CM,Kriauciunas KM,Cypess AM,Niinobe M,Yoshikawa K,Patti ME,Kahn CR","GEOID":"GSE2556","EXACT_SOURCE":"Table 1S: IRS-1 KO / WT < 1","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Down-regulated in brown preadipocytes with IRS1 [GeneID=3667] knockout vs wild type controls; the knockouts have severe defects in adipocyte differentiation.","DESCRIPTION_FULL":"The insulin/IGF-1 (insulin-like growth factor 1) signalling pathway promotes adipocyte differentiation via complex signalling networks. Here, using microarray analysis of brown preadipocytes that are derived from wild-type and insulin receptor substrate (Irs) knockout animals that exhibit progressively impaired differentiation, we define 374 genes/expressed-sequence tags whose expression in preadipocytes correlates with the ultimate ability of the cells to differentiate. Many of these genes, including preadipocyte factor-1 (Pref-1) and multiple members of the Wnt signalling pathway, are related to early adipogenic events. Necdin is also markedly increased in Irs knockout cells that cannot differentiate, and knockdown of necdin restores brown adipogenesis with downregulation of Pref-1 and Wnt10a expression. Insulin receptor substrate proteins regulate a necdin-E2F4 interaction that represses peroxisome-proliferator-activated receptor gamma (PPARgamma) transcription via a cyclic AMP response element binding protein (CREB)-dependent pathway. Together these define a key signalling network that is involved in brown preadipocyte determination."}
{"STANDARD_NAME":"MCCLUNG_COCAIN_REWARD_4WK","SYSTEMATIC_NAME":"M1600","ORGANISM":"Mus musculus","PMID":"14566342","AUTHORS":"McClung CA,Nestler EJ","EXACT_SOURCE":"Table 12","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes up-regulated in the nucleus accumbens (a major reward center in the brain) after 4 weeks of cocaine [PubChem=5760] treatment.","DESCRIPTION_FULL":"DeltaFosB (a truncated form of FosB) and CREB (cAMP response element binding protein) are transcription factors induced in the brain's reward pathways after chronic exposure to drugs of abuse. However, their mechanisms of action and the genes they regulate remain unclear. Using microarray analysis in the nucleus accumbens of inducible transgenic mice, we found that CREB and a dominant-negative CREB have opposite effects on gene expression, as do prolonged expression of DeltaFosB and the activator protein-1 (AP-1) antagonist DeltacJun. However, unlike CREB, short-term and prolonged DeltaFosB induction had opposing effects on gene expression. Gene expression induced by short-term DeltaFosB and by CREB was strikingly similar, and both reduced the rewarding effects of cocaine, whereas prolonged DeltaFosB expression increased drug reward. Gene expression after a short cocaine treatment was more dependent on CREB, whereas gene expression after a longer cocaine treatment became increasingly DeltaFosB dependent. These findings help define the molecular functions of CREB and DeltaFosB and identify clusters of genes that contribute to cocaine addiction."}
{"STANDARD_NAME":"WELCSH_BRCA1_TARGETS_UP","SYSTEMATIC_NAME":"M5490","ORGANISM":"Homo sapiens","PMID":"12032322","AUTHORS":"Welcsh PL,Lee MK,Gonzalez-Hernandez RM,Black DJ,Mahadevappa M,Swisher EM,Warrington JA,King MC","EXACT_SOURCE":"Table 4S: mean(BRCA1+)/mean(BRCA1-) > 1","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Up-regulated by induction of exogenous BRCA1 in EcR-293 cells","DESCRIPTION_FULL":"Loss of function of BRCA1 caused by inherited mutation and tissue-specific somatic mutation leads to breast and ovarian cancer. Nearly all BRCA1 germ-line mutations involve truncation or loss of the C-terminal BRCT transcriptional activation domain, suggesting that transcriptional regulation is a critical function of the wild-type gene. The purpose of this project was to determine whether there is a link between the role of BRCA1 in transcriptional regulation and its role in tumor suppression. We developed a cell line (in which BRCA1 can be induced) and used microarray analysis to compare transcription profiles of epithelial cells with low endogenous levels of BRCA1 vs. transcription profiles of cells with 2-4-fold higher induced levels of expression of BRCA1. At these levels of expression, BRCA1 did not induce apoptosis. Undirected cluster analysis of six paired experiments revealed 373 genes, the expression of which was altered significantly and consistently by BRCA1 induction. Expression of 62 genes was altered more than 2-fold. BRCA1-regulated genes associated with breast tumorigenesis included the estrogen-responsive genes MYC and cyclin D1, which are overexpressed in many breast tumors; STAT1 and JAK1, key components of the cytokine signal transduction pathway; the extracellular matrix protein laminin 3A; ID4, an inhibitor of DNA-binding transcriptional activators, which in turn negatively regulates BRCA1 expression; and the prohormone stanniocalcin, expression of which is lost in breast tumor cells. Coordinated expression of BRCA1 with ID4 and with stanniocalcin was confirmed in primary breast and ovarian tumors."}
{"STANDARD_NAME":"CHANG_IMMORTALIZED_BY_HPV31_UP","SYSTEMATIC_NAME":"M15837","ORGANISM":"Homo sapiens","PMID":"10756030","AUTHORS":"Chang YE,Laimins LA","EXACT_SOURCE":"Table 1: fold > 0","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes up-regulated in normal keratinocytes immortalized by infection with the high risk HPV31 (human papilloma virus) strain.","DESCRIPTION_FULL":"Human papillomaviruses (HPVs) infect keratinocytes and induce proliferative lesions. In infected cells, viral gene products alter the activities of cellular proteins, such as Rb and p53, resulting in altered cell cycle response. It is likely that HPV gene products also alter expression of cellular genes. In this study we used microarray analysis to examine the global changes in gene expression induced by high-risk HPV type 31 (HPV31). Among 7,075 known genes and ESTs (expressed sequence tags) tested, we found that 178 were upregulated and 150 were downregulated twofold or more in HPV31 cells compared to normal human keratinocytes. While no specific pattern could be deduced from the list of genes that were upregulated, downregulated genes could be classified to three groups: genes that are involved in the regulation of cell growth, genes that are specifically expressed in keratinocytes, and genes whose expression is increased in response to interferon stimulation. The basal level of expression of several interferon-responsive genes was found to be downregulated in HPV31 cells by both microarray analysis and Northern blot analysis in different HPV31 cell lines. When cells were treated with alpha or gamma interferon, expression of interferon-inducible genes was impaired. At high doses of interferon, the effects were less pronounced. Among the genes repressed by HPV31 was the signal transducer and activator of transcription (Stat-1), which plays a major role in mediating the interferon response. Suppression of Stat-1 expression may contribute to a suppressed response to interferon as well as immune evasion."}
{"STANDARD_NAME":"IVANOVA_HEMATOPOIESIS_INTERMEDIATE_PROGENITOR","SYSTEMATIC_NAME":"M16005","ORGANISM":"Mus musculus","PMID":"12228721","AUTHORS":"Ivanova NB,Dimos JT,Schaniel C,Hackney JA,Moore KA,Lemischka IR","EXACT_SOURCE":"Excel Table 2S: Expression Cluster=Intermediate Progenitors Shered","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes in the expression cluster 'Intermediate Progenitors Shared': up-regulated in hematopoietic intemediate progenitor cells from adult bone marrow and fetal liver.","DESCRIPTION_FULL":"Mechanisms regulating self-renewal and cell fate decisions in mammalian stem cells are poorly understood. We determined global gene expression profiles for mouse and human hematopoietic stem cells and other stages of the hematopoietic hierarchy. Murine and human hematopoietic stem cells share a number of expressed gene products, which define key conserved regulatory pathways in this developmental system. Moreover, in the mouse, a portion of the genetic program of hematopoietic stem cells is shared with embryonic and neural stem cells. This overlapping set of gene products represents a molecular signature of stem cells."}
{"STANDARD_NAME":"LIANG_SILENCED_BY_METHYLATION_UP","SYSTEMATIC_NAME":"M14553","ORGANISM":"Homo sapiens","PMID":"11861364","AUTHORS":"Liang G,Gonzales FA,Jones PA,Orntoft TF,Thykjaer T","EXACT_SOURCE":"Table 1","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes up-regulated in LD419 cells (fibroblast) after treatment with decitabine (5-aza-2'-deoxycytidine) [PubChem=451668].","DESCRIPTION_FULL":"Hypermethylation of the promoters of cancer-related genes is often associated with their inactivation during tumorigenesis. Several preclinical and clinical trials have been developed to use DNA methylation inhibitors, such as 5-aza-2'-deoxycytidine (5-Aza-CdR) in attempts to reactivate silenced genes in human cancers. We used high-density oligonucleotide gene expression microarrays to examine the effects of 5-Aza-CdR treatment on human fibroblast cells (LD419) and a human bladder tumor cell line (T24). Data obtained 8 days after recovery from 5-Aza-CdR treatment showed that more genes were induced in tumorigenic cells (61 genes induced; >or=4-fold) than nontumorigenic cells (34 genes induced; >or= 4-fold). Approximately 60% of induced genes did not have CpG islands within their 5' regions, suggesting that some genes activated by 5-Aza-CdR may not result from the direct inhibition of promoter methylation. Interestingly, a high percentage of genes activated in both cell types belonged to the IFN signaling pathway, confirming data from other tumor cell types."}
{"STANDARD_NAME":"LEE_CALORIE_RESTRICTION_NEOCORTEX_DN","SYSTEMATIC_NAME":"M1609","ORGANISM":"Mus musculus","PMID":"10888876","AUTHORS":"Lee CK,Weindruch R,Prolla TA","EXACT_SOURCE":"Table 4S","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Down-regulated in the neocortex of aged (30-month) mice subjected to caloric restriction since young adulthood.","DESCRIPTION_FULL":"Ageing of the brain leads to impairments in cognitive and motor skills, and is the major risk factor for several common neurological disorders such as Alzheimer disease (AD) and Parkinson disease (PD). Recent studies suggest that normal brain ageing is associated with subtle morphological and functional alterations in specific neuronal circuits, as opposed to large-scale neuronal loss. In fact, ageing of the central nervous system in diverse mammalian species shares many features, such as atrophy of pyramidal neurons, synaptic atrophy, decrease of striatal dopamine receptors, accumulation of fluorescent pigments, cytoskeletal abnormalities, and reactive astrocytes and microglia. To provide the first global analysis of brain ageing at the molecular level, we used oligonucleotide arrays representing 6,347 genes to determine the gene-expression profile of the ageing neocortex and cerebellum in mice. Ageing resulted in a gene-expression profile indicative of an inflammatory response, oxidative stress and reduced neurotrophic support in both brain regions. At the transcriptional level, brain ageing in mice displays parallels with human neurodegenerative disorders. Caloric restriction, which retards the ageing process in mammals, selectively attenuated the age-associated induction of genes encoding inflammatory and stress responses."}
{"STANDARD_NAME":"SESTO_RESPONSE_TO_UV_C1","SYSTEMATIC_NAME":"M7933","ORGANISM":"Homo sapiens","PMID":"11867738","AUTHORS":"Sesto A,Navarro M,Burslem F,Jorcano JL","EXACT_SOURCE":"Table 3S: Cluster=1","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Cluster 1: genes changed in primary keratinocytes by UVB irradiation.","DESCRIPTION_FULL":"UV radiation is the most important environmental skin aggressor, causing cancer and other problems. This paper reports the use of oligonucleotide microarray technology to determine changes in gene expression in human keratinocytes after UVB treatment. Examination of the effects of different doses at different times after irradiation gave a global picture of the keratinocyte response to this type of insult. Five hundred thirty-nine regulated transcripts were found and organized into nine different clusters depending on behavior patterns. Classification of these genes into 23 functional categories revealed that several biological processes are globally affected by UVB. In addition to confirming a majority up-regulation of the transcripts related to the UV-specific inflammatory and stress responses, significant increases were seen in the expression of genes involved in basal transcription, splicing, and translation as well as in the proteasome-mediated degradation category. On the other hand, those transcripts belonging to the metabolism and adhesion categories were strongly downregulated. These results demonstrate the complexity of the transcriptional profile of the UVB response, describe several cellular processes previously not known to be affected by UV irradiation, and serve as a basis for the global characterization of UV-regulated genes and pathways."}
{"STANDARD_NAME":"LY_AGING_MIDDLE_UP","SYSTEMATIC_NAME":"M19146","ORGANISM":"Homo sapiens","PMID":"10741968","AUTHORS":"Ly DH,Lockhart DJ,Lerner RA,Schultz PG","EXACT_SOURCE":"Table 1, 2: Middle Age: FoldD > 0","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes up-regulated in fibroblasts from middle-age individuals, compared to those from the young donors.","DESCRIPTION_FULL":"Messenger RNA levels were measured in actively dividing fibroblasts isolated from young, middle-age, and old-age humans and humans with progeria, a rare genetic disorder characterized by accelerated aging. Genes whose expression is associated with age-related phenotypes and diseases were identified. The data also suggest that an underlying mechanism of the aging process involves increasing errors in the mitotic machinery of dividing cells in the postreproductive stage of life. We propose that this dysfunction leads to chromosomal pathologies that result in misregulation of genes involved in the aging process."}
{"STANDARD_NAME":"WU_HBX_TARGETS_1_UP","SYSTEMATIC_NAME":"M3190","ORGANISM":"Homo sapiens","PMID":"11439330","AUTHORS":"Wu CG,Salvay DM,Forgues M,Valerie K,Farnsworth J,Markin RS,Wang XW","EXACT_SOURCE":"Fig. 3A+C","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes up-regulated by expression of HBV X protein (HBVgp3) [GeneID=944566] in SK-Hep-1 cells (hepatocellular carcinoma).","DESCRIPTION_FULL":"Hepatitis B virus (HBV) is a major risk factor for the development of hepatocellular carcinoma (HCC). HBV encodes the potentially oncogenic HBx protein, which mainly functions as a transcriptional co-activator involving in multiple gene deregulations. However, mechanisms underlying HBx-mediated oncogenicity remain unclear. To determine the role(s) of HBx in the early genesis of HCC, we utilized the NCI Oncochip microarray that contains 2208 human cDNA clones to examine the gene expression profiles in either freshly isolated normal primary adult human hepatocytes (Hhep) or an HCC cell line (SK-Hep-1) ecotopically expressing HBx via an adenoviral system. The gene expression profiles also were determined in liver samples from HBV-infected chronic active hepatitis patients when compared with normal liver samples. The microarray results were validated through Northern blot analysis of the expression of selected genes. Using reciprocally labeling hybridizations, scatterplot analysis of gene expression ratios in human primary hepatocytes expressing HBx demonstrates that microarrays are highly reproducible. The comparison of gene expression profiles between HBx-expressing primary hepatocytes and HBV-infected liver samples shows a consistent alteration of many cellular genes including a subset of oncogenes (such as c-myc and c-myb) and tumor suppressor genes (such as APC, p53, WAF1 and WT1). Furthermore, clustering algorithm analysis showed distinctive gene expression profiles in Hhep and SK-Hep-1 cells. Our findings are consistent with the hypothesis that the deregulation of cellular genes by oncogenic HBx may be an early event that favors hepatocyte proliferation during liver carcinogenesis."}
{"STANDARD_NAME":"BURTON_ADIPOGENESIS_7","SYSTEMATIC_NAME":"M1616","ORGANISM":"Mus musculus","PMID":"15033539","AUTHORS":"Burton GR,Nagarajan R,Peterson CA,McGehee RE Jr","EXACT_SOURCE":"Table 2: cluster 1","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Down-regulated at 48-96 h during differentiation of 3T3-L1 cells (fibroblast) into adipocytes.","DESCRIPTION_FULL":"During cellular differentiation and development, it is recognized that many complex molecular mechanisms as well as precise patterns of differentially expressed genes occur in directing precursor cells toward a given lineage. Using microarray-based technology, we examined gene expression across the course of 3T3-L1 adipocyte differentiation. Total cellular RNA was isolated at times 0, 2, 8, 16, 24, 48, and 96 h following treatment with either standard hormonal inducers of differentiation; insulin, dexamethasone, isobutylmethylxanthine (IDX), or IDX plus trichostatin A (TsA), a histone deacetylase inhibitor and potent adipogenic inhibitor. cRNA was synthesized from cellular RNA and hybridized to high density Affymetrix MG_U74Av2 microarray gene chips containing 12,488 cDNA/Expressed Sequence Tags (ESTs) probe sets. From the IDX-only treated cells, all probe sets that were either unchanged or differentially expressed less than 2-fold throughout differentiation with respect to time 0 preadipocytes were excluded from further analyses. This selection resulted in a net of 1686 transcripts, 859 were increased in expression, and 827 were decreased in expression at least 2-fold across differentiation. To focus in on genes that were more specific to differentiation, the same analysis was performed on IDX plus TsA-treated non-differentiating cells and all probe sets from the IDX-only group that exhibited similar expression profiles in the non-differentiating TsA-treated group were excluded leaving a total of 1016 transcripts that were regulated only under differentiating conditions. Six hundred and thirty-six of these transcripts were elevated at least 2-fold and 380 exhibited a decrease in expression relative to time 0 preadipocytes. This group of genes was further analyzed using hierarchical clustering and self-organizing maps and resulted in the identification of numerous genes not previously known to be regulated during adipocyte differentiation. Many of these genes may well represent novel adipogenic mediators and markers of adipogenesis."}
{"STANDARD_NAME":"GENTILE_UV_RESPONSE_CLUSTER_D1","SYSTEMATIC_NAME":"M3990","ORGANISM":"Homo sapiens","PMID":"12907719","AUTHORS":"Gentile M,Latonen L,Laiho M","GEOID":"GSE713","EXACT_SOURCE":"Table 2S: Cluster d1","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Cluster d1: genes down-regulated in WS1 cells (fibroblast) at 6 h after irradiation with high dose UV-C.","DESCRIPTION_FULL":"DNA damage caused by UV radiation initiates cellular recovery mechanisms, which involve activation of DNA damage response pathways, cell cycle arrest and apoptosis. To assess cellular transcriptional responses to UVC-induced DNA damage we compared time course responses of human skin fibroblasts to low and high doses of UVC radiation known to induce a transient cellular replicative arrest or apoptosis, respectively. UVC radiation elicited >3-fold changes in 460 out of 12,000 transcripts and 89% of these represented downregulated transcripts. Only 5% of the regulated genes were common to both low and high doses of radiation. Cells inflicted with a low dose of UVC exhibited transcription profiles demonstrating transient regulation followed by recovery, whereas the responses were persistent after the high dose. A detailed clustering analysis and functional classification of the targets implied regulation of biologically divergent responses and suggested involvement of transcriptional and translational machinery, inflammatory, anti-proliferative and anti-angiogenic responses. The data support the notion that UVC radiation induces prominent, dose-dependent downregulation of transcription. However, the data strongly suggest that transcriptional repression is also target gene selective. Furthermore, the results demonstrate that dose-dependent induction of cell cycle arrest and apoptosis by UVC radiation are transcriptionally highly distinct responses."}
{"STANDARD_NAME":"RAMPON_ENRICHED_LEARNING_ENVIRONMENT_EARLY_UP","SYSTEMATIC_NAME":"M1619","ORGANISM":"Mus musculus","PMID":"11070096","AUTHORS":"Rampon C,Jiang CH,Dong H,Tang YP,Lockhart DJ,Schultz PG,Tsien JZ,Hu Y","EXACT_SOURCE":"Table 1: 3 h or 6 h > 0","CHIP":"AFFY_Mu11K","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes up-regulated in the brain cortex of mice that were exposed to an enriched learning environment for one day.","DESCRIPTION_FULL":"An enriched environment is known to promote structural changes in the brain and to enhance learning and memory performance in rodents [Hebb, D. O. (1947) Am. Psychol. 2, 306-307]. To better understand the molecular mechanisms underlying these experience-dependent cognitive changes, we have used high-density oligonucleotide microarrays to analyze gene expression in the brain. Expression of a large number of genes changes in response to enrichment training, many of which can be linked to neuronal structure, synaptic plasticity, and transmission. A number of these genes may play important roles in modulating learning and memory capacity."}
{"STANDARD_NAME":"SARTIPY_BLUNTED_BY_INSULIN_RESISTANCE_DN","SYSTEMATIC_NAME":"M1620","ORGANISM":"Mus musculus","PMID":"14530283","AUTHORS":"Sartipy P,Loskutoff DJ","EXACT_SOURCE":"Table 5","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes down-regulated in 3T3-L1 cells (adipocyte) by insulin [GeneID=3630] but displayed blunted response to insulin the insulin resistant cells.","DESCRIPTION_FULL":"We have employed microarray technology using RNA from normal 3T3-L1 adipocytes and from 3T3-L1 adipocytes made insulin-resistant by treatment with tumor necrosis factor-alpha to identify a new class of insulin-responsive genes. These genes continued to respond normally to insulin even though the adipocytes themselves were metabolically insulin-resistant, i.e. they displayed a significantly decreased rate of insulin-stimulated glucose uptake. Approximately 12,000 genes/expressed sequence tags (ESTs) were screened. Of these, 40 genes/ESTs were identified that became insulin-resistant as expected (e.g. Socs-3, junB, and matrix metalloproteinase-11). However, 61 genes/ESTs continued to respond normally to insulin. Although some of these genes were previously shown to be regulated by insulin (e.g. Glut-1 and beta3-adrenergic receptor), other novel insulin-sensitive genes were also identified (e.g. Egr-1, epiregulin, Fra-1, and ABCA1). Real-time reverse transcription-PCR analysis confirmed the expression patterns of several of the differentially expressed genes. One gene that remained insulin-sensitive in the insulin-resistant adipocytes is the transcription factor Egr-1. Using an antisense strategy, we show that tissue factor and macrophage colony-stimulating factor, two cardiovascular risk factors, are downstream EGR-1 target genes in the adipocyte. Taken together, these data support the hypothesis that some signaling pathways remain insulin-sensitive in metabolically insulin-resistant adipocytes. These pathways may promote abnormal gene expression in hyperinsulinemic states like obesity and type II diabetes and thus may contribute to pathologies associated with these conditions."}
{"STANDARD_NAME":"ZHANG_ANTIVIRAL_RESPONSE_TO_RIBAVIRIN_DN","SYSTEMATIC_NAME":"M950","ORGANISM":"Homo sapiens","PMID":"12719586","AUTHORS":"Zhang Y,Jamaluddin M,Wang S,Tian B,Garofalo RP,Casola A,Brasier AR","EXACT_SOURCE":"Table 2","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes up-regulated in A549 cells (lung carcinoma) upon infection with RSV (respiratory syncytial virus) and down-regulated by further treatment with ribavirin [PubChem=5064].","DESCRIPTION_FULL":"Respiratory syncytial virus (RSV) is a mucosa-restricted virus that is a leading cause of epidemic respiratory tract infections in children. RSV replication is a potent activator of the epithelial-cell genomic response, influencing the expression of a spectrum of cellular pathways, including proinflammatory chemokines of the CC, CXC, and CX(3)C subclasses. Ribavirin (1-beta-D-ribofuranosyl-1,2,4-triazole-3-carboxamide) is a nontoxic antiviral agent currently licensed for the treatment of severe RSV lower respiratory tract infections. Because ribavirin treatment reduces the cytopathic effect in infected cells, we used high-density microarrays to investigate the hypothesis that ribavirin modifies the virus-induced epithelial genomic response to replicating virus. Ribavirin treatment administered in concentrations of 10 to 100 micro g/ml potently inhibited RSV transcription, thereby reducing the level of RSV N transcripts to approximately 13% of levels in nontreated cells. We observed that in both the absence and the presence of ribavirin, RSV infection induced global alterations in the host epithelial cell, affecting approximately 49% of the approximately 6,650 expressed genes detectable by the microarray. Ribavirin influences the expression of only 7.5% of the RSV-inducible genes (total number of genes, 272), suggesting that the epithelial-cell genetic program initiated by viral infection is independent of high-level RSV replication. Hierarchical clustering of the ribavirin-regulated genes identified four expression patterns. In one group, ribavirin inhibited the expression of the RSV-inducible CC chemokines MIP-1 alpha and -1 beta, which are important in RSV-induced pulmonary pathology, and interferon (IFN), a cytokine important in the mucosal immune response. In a second group, ribavirin further up-regulated a set of RSV- and IFN-stimulated response genes (ISGs) encoding antiviral proteins (MxA and p56), complement products, acute-phase response factors, and the STAT and IRF transcription factors. Because IFN-beta expression itself was reduced in the ribavirin-treated cells, we further investigated the mechanism for up-regulation of the IFN-signaling pathway. Enhanced expression of IFI 6-16, IFI 9-27, MxA/p78, STAT-1 alpha, STAT-1 beta, IRF-7B, and TAP-1-LMP2 transcripts were independently reproduced by Northern blot analysis. Ribavirin-enhanced TAP-1-LMP2 expression was a transcriptional event where site mutations of the IFN-stimulated response element (ISRE) blocked RSV and ribavirin-inducible promoter activity. Furthermore, ribavirin up-regulated the transcriptional activity of a reporter gene selectively driven by the ISRE. In specific DNA pull-down assays, we observed that ribavirin enhanced RSV-induced STAT-1 binding to the ISRE. We conclude that ribavirin potentiates virus-induced ISRE signaling to enhance the expression of antiviral ISGs, suggesting a mechanism for the efficacy of combined treatment with ribavirin and IFN in other chronic viral diseases."}
{"STANDARD_NAME":"JAZAERI_BREAST_CANCER_BRCA1_VS_BRCA2_UP","SYSTEMATIC_NAME":"M2202","ORGANISM":"Homo sapiens","PMID":"12096084","AUTHORS":"Jazaeri AA,Yee CJ,Sotiriou C,Brantley KR,Boyd J,Liu ET","EXACT_SOURCE":"Fig. 3","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Up-regulated genes distinguishing between breast cancer tumors with mutated BRCA1 [GeneID=672] from those with mutated BRCA2 [GeneID=675].","DESCRIPTION_FULL":"BACKGROUND: Germline mutations in BRCA1 and BRCA2 are responsible for 5%-10% of epithelial ovarian cancers, but the molecular pathways affected by these mutations are unknown. We used complementary DNA (cDNA) microarrays to compare gene expression patterns in ovarian cancers associated with BRCA1 or BRCA2 mutations with gene expression patterns in sporadic epithelial ovarian cancers and to identify patterns common to both hereditary and sporadic tumors. METHODS: Tumor samples from 61 patients with pathologically confirmed epithelial ovarian adenocarcinoma with matched clinicopathologic features were studied, including 18 with BRCA1 founder mutations, 16 with BRCA2 founder mutations, and 27 without either founder mutation (termed sporadic cancers). The cDNA microarrays contained 7651 sequence-verified features. Gene expression data were analyzed with a modified two-sided F test, with P<.0001 considered statistically significant. The expression level of six genes was also studied with reverse transcription-polymerase chain reaction. RESULTS: The greatest contrast in gene expression was observed between tumors with BRCA1 mutations and those with BRCA2 mutations; 110 genes showed statistically significantly different expression levels (P<.0001). This group of genes could segregate sporadic tumors into two subgroups, BRCA1-like and BRCA2-like, suggesting that BRCA1-related and BRCA2-related pathways are also involved in sporadic ovarian cancers. Fifty-three genes were differentially expressed between tumors with BRCA1 mutations and sporadic tumors; six of the 53 mapped to Xp11.23 and were expressed at higher levels in tumors with BRCA1 mutations than in sporadic tumors. Compared with the immortalized ovarian surface epithelial cells used as reference, several interferon-inducible genes were overexpressed in the majority of tumors with a BRCA mutation and in sporadic tumors. CONCLUSIONS: Mutations in BRCA1 and BRCA2 may lead to carcinogenesis through distinct molecular pathways that also appear to be involved in sporadic cancers. Sporadic carcinogenic pathways may result from epigenetic aberrations of BRCA1 and BRCA2 or their downstream effectors."}
{"STANDARD_NAME":"BANDRES_RESPONSE_TO_CARMUSTIN_WITHOUT_MGMT_48HR_UP","SYSTEMATIC_NAME":"M17700","ORGANISM":"Homo sapiens","PMID":"15980968","AUTHORS":"Bandres E,Andion E,Escalada A,Honorato B,Catalan V,Cubedo E,Cordeu L,Garcia F,Zarate R,Zabalegui N,Garcia-Foncillas J","EXACT_SOURCE":"Table 2: 48 h up-regulated","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes up-regulated in A172 cells (glioma, does not express MGMT [GeneID=4255]) by carmustine [PubChem=2578] at 48 h.","DESCRIPTION_FULL":"Chemotherapy with the alkylating agent BCNU (1,3-bis (2-chloroethyl)-1-nitrosourea) is the most commonly used chemotherapeutic agent for gliomas. However, the usefulness of this agent is limited because tumor cell resistance to BCNU is frequently found in clinical brain tumor therapy. The O6-methylguanine-DNA methyltransferase protein (MGMT) reverses alkylation at the O6 position of guanine and we have reported the role of MGMT in the response of brain tumors to alkylating agents. However, the different mechanisms underlying the patterns related to MGMT remain unclear. To better understand the molecular mechanism by which BCNU exerts its effect in glioma cell lines according MGMT expression, we used microarray technology to interrogate 3800 known genes and determine the gene expression profiles altered by BCNU treatment. Our results showed that treatment with BCNU alters the expression of a diverse group of genes in a time-dependent manner. A subset of gene changes was found common in both glioma cell lines and other subset is specific of each cell line. After 24 h of BCNU treatment, up-regulation of transcription factors involved in the nucleation of both RNA polymerase II and III transcription initiation complexes was reported. Interestingly, BCNU promoted the expression of actin-dependent regulators of chromatin. Similar effects were found with higher BCNU doses in MGMT+ cell line showing a similar mechanism that in MGMT-deficient cell with standard doses. Our data suggest that human glioma cell lines treated with BCNU, independently of MGMT expression, show changes in the expression of cell cycle and survival-related genes interfering the transcription mechanisms and the chromatin regulation."}
{"STANDARD_NAME":"KYNG_RESPONSE_TO_H2O2_VIA_ERCC6","SYSTEMATIC_NAME":"M1629","ORGANISM":"Homo sapiens","PMID":"12606941","AUTHORS":"Kyng KJ,May A,Brosh RM Jr,Cheng WH,Chen C,Becker KG,Bohr VA","EXACT_SOURCE":"Table 3","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes down-regulated in CS-B cells (Cockayne syndrome fibroblast, CS) with defficient ERCC6 [GeneID=2074] in response to hydrogen peroxide [PubChem=784].","DESCRIPTION_FULL":"Cockayne syndrome (CS) is a human hereditary disease belonging to the group of segmental progerias, and the clinical phenotype is characterized by postnatal growth failure, neurological dysfunction, cachetic dwarfism, photosensitivity, sensorineural hearing loss, and retinal degradation. CS-B cells are defective in transcription-coupled DNA repair, base excision repair, transcription, and chromatin structural organization. Using array analysis, we have examined the expression profile in CS complementation group B (CS-B) fibroblasts after exposure to oxidative stress (H2O2) before and after complete complementation with the CSB gene. The following isogenic cell lines were compared: CS-B cells (CS-B null), CS-B cells complemented with wild-type CSB (CS-B wt), and a stably transformed cell line with a point mutation in the ATPase domain of CSB (CS-B ATPase mutant). In the wt rescued cells, we detected significant induction (two-fold) of 112 genes out of the 6912 analysed. The patterns suggested an induction or upregulation of genes involved in several DNA metabolic processes including DNA repair, transcription, and signal transduction. In both CS-B mutant cell lines, we found a general deficiency in transcription after oxidative stress, suggesting that the CSB protein influenced the regulation of transcription of certain genes. Of the 6912 genes, 122 were differentially regulated by more than two-fold. Evidently, the ATPase function of CSB is biologically important as the deficiencies seen in the ATPase mutant cells are very similar to those observed in the CS-B-null cells. Some major defects are in the transcription of genes involved in DNA repair, signal transduction, and ribosomal functions."}
{"STANDARD_NAME":"VERRECCHIA_RESPONSE_TO_TGFB1_C4","SYSTEMATIC_NAME":"M566","ORGANISM":"Homo sapiens","PMID":"11279127","AUTHORS":"Verrecchia F,Chu ML,Mauviel A","EXACT_SOURCE":"Table 1: Cluster 4","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Cluster 4: ECM related genes up-regulated in dermal fibroblasts later than 30 min after TGFB1 [GeneID=7040] addition; kept increasing with time.","DESCRIPTION_FULL":"Despite major advances in the understanding of the intimate mechanisms of transforming growth factor-beta (TGF-beta) signaling through the Smad pathway, little progress has been made in the identification of direct target genes. In this report, using cDNA microarrays, we have focussed our attention on the characterization of extracellular matrix-related genes rapidly induced by TGF-beta in human dermal fibroblasts and attempted to identify the ones whose up-regulation by TGF-beta is Smad-mediated. For a gene to qualify as a direct Smad target, we postulated that it had to meet the following criteria: (1) rapid (30 min) and significant (at least 2-fold) elevation of steady-state mRNA levels upon TGF-beta stimulation, (2) activation of the promoter by both exogenous TGF-beta and co-transfected Smad3 expression vector, (3) up-regulation of promoter activity by TGF-beta blocked by both dominant-negative Smad3 and inhibitory Smad7 expression vectors, and (4) promoter transactivation by TGF-beta not possible in Smad3(-/-) mouse embryo fibroblasts. Using this stringent approach, we have identified COL1A2, COL3A1, COL6A1, COL6A3, and tissue inhibitor of metalloproteases-1 as definite TGF-beta/Smad3 targets. Extrapolation of this approach to other extracellular matrix-related gene promoters also identified COL1A1 and COL5A2, but not COL6A2, as novel Smad targets. Together, these results represent a significant step toward the identification of novel, early-induced Smad-dependent TGF-beta target genes in fibroblasts."}
{"STANDARD_NAME":"ABE_INNER_EAR","SYSTEMATIC_NAME":"M260","ORGANISM":"Homo sapiens","PMID":"12471561","AUTHORS":"Abe S,Katagiri T,Saito-Hisaminato A,Usami S,Inoue Y,Tsunoda T,Nakamura Y","EXACT_SOURCE":"Table 1","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes prefentially expressed in human inner ear tissue (cochlea and vestibule), at least 10-fold higher from a mixture of 29 other tissues.","DESCRIPTION_FULL":"Through cDNA microarray analysis of gene expression in human cochlea and vestibule, we detected strong expression of mu-crystallin (CRYM; also known as NADP-regulated thyroid hormone-binding protein) only in these inner-ear tissues. In a subsequent search for mutations of CRYM, among 192 patients with nonsyndromic deafness, we identified two mutations at the C-terminus; one was a de novo change (X315Y) in a patient with unaffected parents, and the other was a missense mutation (K314T) that segregated dominantly in the proband's family. When the mutated proteins were expressed in COS-7 cells, their subcellular localizations were different from that of the normal protein: the X315Y mutant showed vacuolated distribution in the cytoplasm, and the K314T mutant localized in perinuclear areas, whereas normal protein was distributed homogeneously in the cytoplasm. Aberrant intracellular localization of the mutated proteins might cause dysfunction of the CRYM product and result in hearing impairment. In situ hybridization analysis using mouse tissues indicated its expression in the lateral region of the spiral ligament and the fibrocytes of the spiral limbus, implying its possible involvement in the potassium-ion recycling system. Our results strongly implicate CRYM in normal auditory function and identify it as one of the genes that can be responsible for nonsyndromic deafness."}
{"STANDARD_NAME":"TSENG_IRS1_TARGETS_UP","SYSTEMATIC_NAME":"M10427","ORGANISM":"Mus musculus","PMID":"15895078","AUTHORS":"Tseng YH,Butte AJ,Kokkotou E,Yechoor VK,Taniguchi CM,Kriauciunas KM,Cypess AM,Niinobe M,Yoshikawa K,Patti ME,Kahn CR","GEOID":"GSE2556","EXACT_SOURCE":"Table 1S: IRS-1 KO / WT > 1","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Up-regulated in brown preadipocytes with IRS1 [GeneID=3667] knockout vs wild type controls; the knockouts have severe defects in adipocyte differentiation.","DESCRIPTION_FULL":"The insulin/IGF-1 (insulin-like growth factor 1) signalling pathway promotes adipocyte differentiation via complex signalling networks. Here, using microarray analysis of brown preadipocytes that are derived from wild-type and insulin receptor substrate (Irs) knockout animals that exhibit progressively impaired differentiation, we define 374 genes/expressed-sequence tags whose expression in preadipocytes correlates with the ultimate ability of the cells to differentiate. Many of these genes, including preadipocyte factor-1 (Pref-1) and multiple members of the Wnt signalling pathway, are related to early adipogenic events. Necdin is also markedly increased in Irs knockout cells that cannot differentiate, and knockdown of necdin restores brown adipogenesis with downregulation of Pref-1 and Wnt10a expression. Insulin receptor substrate proteins regulate a necdin-E2F4 interaction that represses peroxisome-proliferator-activated receptor gamma (PPARgamma) transcription via a cyclic AMP response element binding protein (CREB)-dependent pathway. Together these define a key signalling network that is involved in brown preadipocyte determination."}
{"STANDARD_NAME":"XU_GH1_AUTOCRINE_TARGETS_UP","SYSTEMATIC_NAME":"M10664","ORGANISM":"Homo sapiens","PMID":"15845533","AUTHORS":"Xu XQ,Emerald BS,Goh EL,Kannan N,Miller LD,Gluckman PD,Liu ET,Lobie PE","EXACT_SOURCE":"Table 1: Up-regulated","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes up-regulated in MFCF-7 cells (breast cancer) upon stable autocrine expression of HG1 [GeneID=2688].","DESCRIPTION_FULL":"We have exploited a discrepancy in the oncogenic potential of autocrine and exogenous human growth hormone (hGH) in an attempt to identify molecules that could potentially be involved in oncogenic transformation of the human mammary epithelial cell. Microarray analysis of 19,000 human genes identified a subset of 305 genes in a human mammary carcinoma cell line that were remarkably different in their response to autocrine and exogenous hGH. Autocrine and exogenous hGH also regulated 167 common genes. Semiquantitative reverse transcription-PCR confirmed differential regulation of genes by either autocrine or exogenous hGH. Functional analysis of one of the identified autocrine hGH-regulated genes, TFF3, determined that its expression is sufficient to support anchorage-independent growth of human mammary carcinoma cells. Small interfering RNA-mediated knockdown of TFF3 concordantly abrogated anchorage-independent growth of mammary carcinoma cells and abrogated the ability of autocrine hGH to stimulate oncogenic transformation of immortalized human mammary epithelial cells. Further functional characterization of the identified subset of specifically autocrine hGH regulated genes will delineate additional novel oncogenes for the human mammary epithelial cell."}
{"STANDARD_NAME":"XU_GH1_EXOGENOUS_TARGETS_DN","SYSTEMATIC_NAME":"M17387","ORGANISM":"Homo sapiens","PMID":"15845533","AUTHORS":"Xu XQ,Emerald BS,Goh EL,Kannan N,Miller LD,Gluckman PD,Liu ET,Lobie PE","EXACT_SOURCE":"Table 2: Down-regulated","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes down-regulated in MFCF-7 cells (breast cancer) by exogenous HG1 [GeneID=2688].","DESCRIPTION_FULL":"We have exploited a discrepancy in the oncogenic potential of autocrine and exogenous human growth hormone (hGH) in an attempt to identify molecules that could potentially be involved in oncogenic transformation of the human mammary epithelial cell. Microarray analysis of 19,000 human genes identified a subset of 305 genes in a human mammary carcinoma cell line that were remarkably different in their response to autocrine and exogenous hGH. Autocrine and exogenous hGH also regulated 167 common genes. Semiquantitative reverse transcription-PCR confirmed differential regulation of genes by either autocrine or exogenous hGH. Functional analysis of one of the identified autocrine hGH-regulated genes, TFF3, determined that its expression is sufficient to support anchorage-independent growth of human mammary carcinoma cells. Small interfering RNA-mediated knockdown of TFF3 concordantly abrogated anchorage-independent growth of mammary carcinoma cells and abrogated the ability of autocrine hGH to stimulate oncogenic transformation of immortalized human mammary epithelial cells. Further functional characterization of the identified subset of specifically autocrine hGH regulated genes will delineate additional novel oncogenes for the human mammary epithelial cell."}
{"STANDARD_NAME":"MURAKAMI_UV_RESPONSE_24HR","SYSTEMATIC_NAME":"M17175","ORGANISM":"Homo sapiens","PMID":"11532376","AUTHORS":"Murakami T,Fujimoto M,Ohtsuki M,Nakagawa H","EXACT_SOURCE":"Table 1: 24 h ratio < 0.8","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes down-regulated in primary keratinocytes at 24 h after UVB irradiation.","DESCRIPTION_FULL":"Ultraviolet B irradiation initiates and promotes skin cancers, photo-aging, and immune suppression. In order to elucidate the effect of these processes at the level of gene expression, we used cDNA microarray technology to examine the effect of ultraviolet B irradiation on 588 cancer-related genes in human keratinocytes at 1, 6, and 24 h post-irradiation with a mildly cytotoxic dose of ultraviolet B (170 mJ/cm(2)). The viability of the irradiated keratinocytes was 75% at 24 h post-irradiation. Various cytokeratins and transcription factors were up-regulated within 1 h post-irradiation. After 6 h, expression of a variety of genes related to growth regulation (e.g. p21(WAF1), notch 4, and smoothened), apoptosis (e.g. caspase 10, hTRIP, and CRAF1), DNA repair (ERCC1, XRCC1), cytokines (e.g. IL-6, IL-13, TGF-beta, and endothelin 2), and cell adhesion (e.g. RhoE, and RhoGDI) were altered in human keratinocytes. These data suggest the changes in a cascade of gene expression in human keratinocytes occurring within 24 h after UVB exposure. Although the roles of these cellular genes after UVB-irradiation remain to be elucidated, microarray analysis may provide a new view of gene expression in epidermal keratinocytes following UVB exposure."}
{"STANDARD_NAME":"BACOLOD_RESISTANCE_TO_ALKYLATING_AGENTS_DN","SYSTEMATIC_NAME":"M12518","ORGANISM":"Homo sapiens","PMID":"12479369","AUTHORS":"Bacolod MD,Johnson SP,Ali-Osman F,Modrich P,Bullock NS,Colvin OM,Bigner DD,Friedman HS","EXACT_SOURCE":"Table 1: signal ratio =< 0.3","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes down-regulated in D-341 MED (OBR) cells (medulloblastoma) resistant to both carmustine and O6-BG [PubChem=2578;4578].","DESCRIPTION_FULL":"Medulloblastoma (D-341 MED) and rhabdomyosarcoma (TE-671) cell lines, which are resistant to either 1,3-bis(2-chloroethyl)-1-nitrosourea (BCNU) or the combination of BCNU and O6-benzylguanine (O6-BG), were generated by serial escalation of BCNU. The activities of O6-alkylguanine-DNA alkyltransferase (AGT), glutathione-S-transferase (GST), and total glutathione (GSH) of the parental, BCNU-resistant (BR), and BCNU + O6-BG-resistant (OBR) cells were measured. No significant differences in GST activity or total GSH were seen between the parental, BR, and OBR cells of both TE-671 and D-341 MED. The AGT activities of D-341 MED (BR) and TE-671 (BR) were twice those of D-341 MED and TE-671, respectively, confirming the importance of this enzyme for BCNU resistance. The D-341 MED (OBR) cells did not exhibit any AGT activity, suggesting that another mechanism must play a role in the drug resistance. Fewer DNA interstrand cross-links (ICLs) were observed in D-341 MED (OBR) than in D-341 MED after 8 h BCNU (100-400 microM) treatment. However, the amounts of DNA ICLs observed in D-341 MED and D-341 MED (OBR) were stable after 24 h. Microarray analysis showed the increased expressions of several metallothionein genes and down-regulation of several proapoptotic genes. The AGT activity of TE-671 (OBR) was 223 fmol/mg when the cells were grown in 10 microM O6-BG and decreased to about half this value when the O6-BG concentration was increased 60 microM. The AGT cDNA of TE-671 (OBR) cells was cloned and found to contain a G-to-T transversion at codon 156, resulting in conversion of glycine to cysteine (G156C). In vitro mutagenesis has shown that the G156C AGT mutant is resistant to inactivation by O6-BG. Thus, the selection of a mutant AGT with decreased sensitivity to O6-BG is a significant contributing factor to BCNU + O6-BG resistance."}
{"STANDARD_NAME":"CHENG_RESPONSE_TO_NICKEL_ACETATE","SYSTEMATIC_NAME":"M19667","ORGANISM":"Homo sapiens","PMID":"12915101","AUTHORS":"Cheng RY,Zhao A,Alvord WG,Powell DA,Bare RM,Masuda A,Takahashi T,Anderson LM,Kasprzak KS","EXACT_SOURCE":"Table 2","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes down-regulated in HPL1D cells (lung epithelium) upon exposure to nickel acetate [PubChem=9756].","DESCRIPTION_FULL":"Occupational exposure to nickel compounds is associated with lung cancer risk; both genotoxic and epigenetic mechanisms have been proposed. For comprehensive examination of the acute effects of nickel(II) acetate on gene expression in cultured human peripheral lung epithelial HPL1D cells, microarray analyses were carried out with cDNA chips (approximately 8000 cDNAs). Cells were exposed for 24 h to nontoxic (50, 100, and 200 microM) or toxic (400, 800, and 1600 microM) nickel(II) concentrations. Cluster analysis was applied to the 868 genes with > or = 2-fold change at any concentration. Two main clusters showed marked up- or down-regulation at the highest, toxic concentrations. The data further subdivided into 10 highly cohesive clusters with high probability, and of these only 2 had the same response trend at low nontoxic as at high concentrations, an observation of clear relevance to the process of high- to low-dose extrapolation in risk assessment. There were 113 genes showing > or = 2-fold change at the three lower nontoxic concentrations, those most relevant to in vivo carcinogenesis. In addition to expected responses of metallothionein, ferritin, and heat-shock proteins, the results revealed for the first time changed expression of some potential cancer-related genes in response to low-dose Ni(II): RhoA, dyskerin, interferon regulatory factor 1, RAD21 homologue, and tumor protein, translationally controlled. Overall, most of the genes impacted by nontoxic concentrations of nickel(II) acetate related to gene transcription, protein synthesis and stability, cytoskeleton, signaling, metabolism, cell membrane, and extracellular matrix."}
{"STANDARD_NAME":"TSENG_ADIPOGENIC_POTENTIAL_DN","SYSTEMATIC_NAME":"M8364","ORGANISM":"Mus musculus","PMID":"15895078","AUTHORS":"Tseng YH,Butte AJ,Kokkotou E,Yechoor VK,Taniguchi CM,Kriauciunas KM,Cypess AM,Niinobe M,Yoshikawa K,Patti ME,Kahn CR","GEOID":"GSE2556","EXACT_SOURCE":"Fig. 2S: Down progression","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes showing decreasing expression in brown preadipocytes with increasing ability of the cells to differentiate.","DESCRIPTION_FULL":"The insulin/IGF-1 (insulin-like growth factor 1) signalling pathway promotes adipocyte differentiation via complex signalling networks. Here, using microarray analysis of brown preadipocytes that are derived from wild-type and insulin receptor substrate (Irs) knockout animals that exhibit progressively impaired differentiation, we define 374 genes/expressed-sequence tags whose expression in preadipocytes correlates with the ultimate ability of the cells to differentiate. Many of these genes, including preadipocyte factor-1 (Pref-1) and multiple members of the Wnt signalling pathway, are related to early adipogenic events. Necdin is also markedly increased in Irs knockout cells that cannot differentiate, and knockdown of necdin restores brown adipogenesis with downregulation of Pref-1 and Wnt10a expression. Insulin receptor substrate proteins regulate a necdin-E2F4 interaction that represses peroxisome-proliferator-activated receptor gamma (PPARgamma) transcription via a cyclic AMP response element binding protein (CREB)-dependent pathway. Together these define a key signalling network that is involved in brown preadipocyte determination."}
{"STANDARD_NAME":"SESTO_RESPONSE_TO_UV_C7","SYSTEMATIC_NAME":"M14808","ORGANISM":"Homo sapiens","PMID":"11867738","AUTHORS":"Sesto A,Navarro M,Burslem F,Jorcano JL","EXACT_SOURCE":"Table 3S: Cluster=7","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Cluster 7: genes changed in primary keratinocytes by UVB irradiation.","DESCRIPTION_FULL":"UV radiation is the most important environmental skin aggressor, causing cancer and other problems. This paper reports the use of oligonucleotide microarray technology to determine changes in gene expression in human keratinocytes after UVB treatment. Examination of the effects of different doses at different times after irradiation gave a global picture of the keratinocyte response to this type of insult. Five hundred thirty-nine regulated transcripts were found and organized into nine different clusters depending on behavior patterns. Classification of these genes into 23 functional categories revealed that several biological processes are globally affected by UVB. In addition to confirming a majority up-regulation of the transcripts related to the UV-specific inflammatory and stress responses, significant increases were seen in the expression of genes involved in basal transcription, splicing, and translation as well as in the proteasome-mediated degradation category. On the other hand, those transcripts belonging to the metabolism and adhesion categories were strongly downregulated. These results demonstrate the complexity of the transcriptional profile of the UVB response, describe several cellular processes previously not known to be affected by UV irradiation, and serve as a basis for the global characterization of UV-regulated genes and pathways."}
{"STANDARD_NAME":"KAAB_FAILED_HEART_VENTRICLE_DN","SYSTEMATIC_NAME":"M15188","ORGANISM":"Homo sapiens","PMID":"15103417","AUTHORS":"Kääb S,Barth AS,Margerie D,Dugas M,Gebauer M,Zwermann L,Merk S,Pfeufer A,Steinmeyer K,Bleich M,Kreuzer E,Steinbeck G,Näbauer M","EXACT_SOURCE":"Table 3aS, 3bS: CMP ventricle = DOWN","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in the ventricles of failing hearts (DCM and ICM) compared to the healthy controls.","DESCRIPTION_FULL":"To obtain region- and disease-specific transcription profiles of human myocardial tissue, we explored mRNA expression from all four chambers of eight explanted failing [idiopathic dilated cardiomyopathy (DCM), n=5; ischemic cardiomyopathy (ICM), n=3], and five non-failing hearts using high-density oligonucleotide arrays (Affymetrix U95Av2). We performed pair-wise comparisons of gene expression in the categories (1) atria versus ventricles, (2) disease-regulated genes in atria and (3) disease-regulated genes in ventricles. In the 51 heart samples examined, 549 genes showed divergent distribution between atria and ventricles (272 genes with higher expression in atria, 277 genes with higher expression in ventricles). Two hundred and eighty-eight genes were differentially expressed in failing myocardium compared to non-failing hearts (19 genes regulated in atria and ventricles, 172 regulated in atria only, 97 genes regulated in ventricles only). For disease-regulated genes, down-regulation was 4.5-times more common than up-regulation. Functional classification according to Gene Ontology identified specific biological patterns for differentially expressed genes. Eleven genes were validated by RT-PCR showing a good correlation with the microarray data. Our goal was to determine a gene expression fingerprint of the heart, accounting for region- and disease-specific aspects. Recognizing common gene expression patterns in heart failure will significantly contribute to the understanding of heart failure and may eventually lead to the development of pathway-specific therapies."}
{"STANDARD_NAME":"JIANG_HYPOXIA_CANCER","SYSTEMATIC_NAME":"M7547","ORGANISM":"Homo sapiens","PMID":"12692265","AUTHORS":"Jiang Y,Zhang W,Kondo K,Klco JM,St Martin TB,Dufault MR,Madden SL,Kaelin WG Jr,Nacht M","EXACT_SOURCE":"Table 10S-11S: 87 genes + 4 genes","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes up-regulated in 786-0 cells (renal carcinoma, RCC) by hypoxia and in the absensce of VHL [GeneID=7428].","DESCRIPTION_FULL":"The von Hippel-Lindau tumor suppressor, pVHL, is a key player in one of the best characterized hypoxia signaling pathways, the VHL-hypoxia-inducible factor (VHL-HIF) pathway. To better understand the role of VHL in the hypoxia signaling pathways of tumor cells, we used serial analysis of gene expression (SAGE) to investigate hypoxia-regulated gene expression in renal carcinoma cells (786-0), with and without VHL. The gene expression profiles of the cancer cells were compared to SAGE profiles from normal renal proximal tubule cells grown under both normoxia and hypoxia. The data suggest that the role of VHL as a tumor suppressor may be more complex than previously thought. Further, the data reveal that renal carcinoma cells have evolved an alternative hypoxia signaling pathway(s) compared with normal renal cells. These alternative hypoxia pathways demonstrate VHL-dependent and VHL-independent regulation. The genes involved in such pathways include those with potential importance in the physiological and pathological regulation of tumor growth and angiogenesis. Some of the genes identified as showing overexpression in the cancer cells, particularly those encoding secreted or membrane-bound proteins, could be potential biomarkers for tumors or targets for rational therapeutics that are dependent on VHL status."}
{"STANDARD_NAME":"ZAMORA_NOS2_TARGETS_DN","SYSTEMATIC_NAME":"M1638","ORGANISM":"Mus musculus","PMID":"12381414","AUTHORS":"Zamora R,Vodovotz Y,Aulak KS,Kim PK,Kane JM 3rd,Alarcon L,Stuehr DJ,Billiar TR","EXACT_SOURCE":"Table 2-17: Increase","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Down-regulated in hepatocytes upon expression of NOS2 [GeneID=4843].","DESCRIPTION_FULL":"Nitric oxide (NO) can modulate numerous genes directly; however, some genes may be modulated only in the presence of the inflammatory stimuli that increase the expression of the inducible nitric oxide synthase (iNOS). One method by which to examine changes in NO-mediated gene expression is to carry out a gene array analysis on NO-nai;ve cells. Herein, we report a gene array analysis on mRNA from iNOS-null (iNOS(-/-)) mouse hepatocytes harvested from mice exposed to NO by infection with an adenovirus expressing human iNOS (Ad-iNOS). Of the 6500 genes on this array, only approximately 200 were modulated either up or down by the increased iNOS activity according to our criteria for significance. Several clearly defined families of genes were modulated, including genes coding for proinflammatory transcription factors, cytokines, cytokine receptors, proteins associated with cell proliferation and cellular energetics, as well as proteins involved in apoptosis. Our results suggest that iNOS has a generally anti-inflammatory and anti-apoptotic role in hepatocytes but also acts to suppress proliferation and protein synthesis. The expression of iNOS results in increased expression of stress-related proteins, including heme oxygenase-1 (HO-1). We used HO-1 to confirm that a significant change identified by an analysis could be demonstrated as significant in cells and tissues. The elevation of HO-1 was confirmed at the protein level in hepatocytes in vitro. Furthermore, iNOS(-/-) mice experienced greatly increased liver injury subsequent to intestinal ischemia/reperfusion injury, associated with an inability to upregulate HO-1. This is the first study to address the global gene changes induced by iNOS in any cell type, and the findings presented herein may have clinical relevance for conditions such as septic or hemorrhagic shock in which hepatocytes, NO, and HO-1 play a crucial role."}
{"STANDARD_NAME":"YIH_RESPONSE_TO_ARSENITE_C1","SYSTEMATIC_NAME":"M1640","ORGANISM":"Homo sapiens","PMID":"12016162","AUTHORS":"Yih LH,Peck K,Lee TC","EXACT_SOURCE":"Table 1: Cluster 1","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes in cluster 1: strongly up-regulated in HFW cells (fibroblast) upon treatment with sodium arsenite [PubChem=26435] at all time points.","DESCRIPTION_FULL":"Arsenic compounds are widely distributed and arsenic ingestion is associated with many human diseases, including blackfoot disease, atherosclerosis, and cancers. However, the underlying mechanism of arsenic toxicity is not understood. In human fibroblast cells (HFW), arsenite is known to induce oxidative damage, chromosome aberrations, cell cycle arrest, and aneuploidy, and the manifestation of these cellular responses is dependent on changes in gene expression which can be analyzed using the cDNA microarray technique. In this study, cDNA microarray membranes with 568 human genes were used to examine mRNA profile changes in HFW cells treated for 0 to 24 h with 5 microM sodium arsenite. On the basis of the mean value for three independent experiments, 133 target genes were selected for a 2 x 3 self-organizing map cluster analysis; 94 were found to be induced by arsenite treatment, whereas 39 were repressed. These genes were categorized as signal transduction, transcriptional regulation, cell cycle control, stress responses, proteolytic enzymes, and miscellaneous. Significant changes in the signaling-related and transcriptional regulation genes indicated that arsenite induces complex toxicopathological injury."}
{"STANDARD_NAME":"BURTON_ADIPOGENESIS_PEAK_AT_8HR","SYSTEMATIC_NAME":"M1641","ORGANISM":"Mus musculus","PMID":"12137940","AUTHORS":"Burton GR,Guan Y,Nagarajan R,McGehee RE Jr","EXACT_SOURCE":"Table 2: Cluster 3","CHIP":"AFFY_Mu11K","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Cluster 3: genes maximally expressed at 8 hr time point during differentiation of 3T3-L1 fibroblasts into adipocytes in response to adipogenic hormones.","DESCRIPTION_FULL":"The molecular mechanisms that regulate cellular differentiation during development and throughout life are complex. It is now recognized that precise patterns of differentially expressed genes ultimately direct a particular cell toward a given lineage and many of these are regulated during the earliest stages of differentiation. Using a microarray-based expression analysis, we have examined gene expression profiles during the first 24 h of 3T3-L1 adipocyte differentiation. RNA was isolated at times 0, 2, 8, 16, and 24 h following stimulation of differentiation and hybridized in duplicate to high density Affymetrix microarray gene chips containing a series of 13,179 cDNA/expressed sequence tag (EST) probe sets. Two hundred and eighty-five cDNA/ESTs were shown to have at least a fivefold change in expression levels during this time course and both hierarchical and self-organizing map clustering analysis was performed to categorize them by expression profiles. Several genes known to be regulated during this time period were confirmed and Western blot analysis of the proteins encoded by some of the identified genes revealed expression profiles similar to their mRNA counterparts. As expected, many of the genes identified have not been examined in such a critical time period during adipogenesis and may well represent novel adipogenic mediators."}
{"STANDARD_NAME":"SAFFORD_T_LYMPHOCYTE_ANERGY","SYSTEMATIC_NAME":"M1644","ORGANISM":"Mus musculus","PMID":"15834410","AUTHORS":"Safford M,Collins S,Lutz MA,Allen A,Huang CT,Kowalski J,Blackford A,Horton MR,Drake C,Schwartz RH,Powell JD","GEOID":"GSE2323","EXACT_SOURCE":"Table 1","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes up-regulated in anergic mouse T helper cells (A.E7), versus non-anergic stimulated controls","DESCRIPTION_FULL":"T cell receptor engagement in the absence of proper accessory signals leads to T cell anergy. E3 ligases are involved in maintaining the anergic state. However, the specific molecules responsible for the induction of anergy have yet to be elucidated. Using microarray analysis we have identified here early growth response gene 2 (Egr-2) and Egr-3 as key negative regulators of T cell activation. Overexpression of Egr2 and Egr3 was associated with an increase in the E3 ubiquitin ligase Cbl-b and inhibition of T cell activation. Conversely, T cells from Egr3(-/-) mice had lower expression of Cbl-b and were resistant to in vivo peptide-induced tolerance. These data support the idea that Egr-2 and Egr-3 are involved in promoting a T cell receptor-induced negative regulatory genetic program."}
{"STANDARD_NAME":"WU_HBX_TARGETS_2_UP","SYSTEMATIC_NAME":"M17316","ORGANISM":"Homo sapiens","PMID":"11439330","AUTHORS":"Wu CG,Salvay DM,Forgues M,Valerie K,Farnsworth J,Markin RS,Wang XW","EXACT_SOURCE":"Fig. 3A+D","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes up-regulated by expression of HBV X protein (HBVgp3) [GeneID=944566] in primary hepatocytes.","DESCRIPTION_FULL":"Hepatitis B virus (HBV) is a major risk factor for the development of hepatocellular carcinoma (HCC). HBV encodes the potentially oncogenic HBx protein, which mainly functions as a transcriptional co-activator involving in multiple gene deregulations. However, mechanisms underlying HBx-mediated oncogenicity remain unclear. To determine the role(s) of HBx in the early genesis of HCC, we utilized the NCI Oncochip microarray that contains 2208 human cDNA clones to examine the gene expression profiles in either freshly isolated normal primary adult human hepatocytes (Hhep) or an HCC cell line (SK-Hep-1) ecotopically expressing HBx via an adenoviral system. The gene expression profiles also were determined in liver samples from HBV-infected chronic active hepatitis patients when compared with normal liver samples. The microarray results were validated through Northern blot analysis of the expression of selected genes. Using reciprocally labeling hybridizations, scatterplot analysis of gene expression ratios in human primary hepatocytes expressing HBx demonstrates that microarrays are highly reproducible. The comparison of gene expression profiles between HBx-expressing primary hepatocytes and HBV-infected liver samples shows a consistent alteration of many cellular genes including a subset of oncogenes (such as c-myc and c-myb) and tumor suppressor genes (such as APC, p53, WAF1 and WT1). Furthermore, clustering algorithm analysis showed distinctive gene expression profiles in Hhep and SK-Hep-1 cells. Our findings are consistent with the hypothesis that the deregulation of cellular genes by oncogenic HBx may be an early event that favors hepatocyte proliferation during liver carcinogenesis."}
{"STANDARD_NAME":"SESTO_RESPONSE_TO_UV_C5","SYSTEMATIC_NAME":"M1470","ORGANISM":"Homo sapiens","PMID":"11867738","AUTHORS":"Sesto A,Navarro M,Burslem F,Jorcano JL","EXACT_SOURCE":"Table 3S: Cluster=5","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Cluster 5: genes changed in primary keratinocytes by UVB irradiation.","DESCRIPTION_FULL":"UV radiation is the most important environmental skin aggressor, causing cancer and other problems. This paper reports the use of oligonucleotide microarray technology to determine changes in gene expression in human keratinocytes after UVB treatment. Examination of the effects of different doses at different times after irradiation gave a global picture of the keratinocyte response to this type of insult. Five hundred thirty-nine regulated transcripts were found and organized into nine different clusters depending on behavior patterns. Classification of these genes into 23 functional categories revealed that several biological processes are globally affected by UVB. In addition to confirming a majority up-regulation of the transcripts related to the UV-specific inflammatory and stress responses, significant increases were seen in the expression of genes involved in basal transcription, splicing, and translation as well as in the proteasome-mediated degradation category. On the other hand, those transcripts belonging to the metabolism and adhesion categories were strongly downregulated. These results demonstrate the complexity of the transcriptional profile of the UVB response, describe several cellular processes previously not known to be affected by UV irradiation, and serve as a basis for the global characterization of UV-regulated genes and pathways."}
{"STANDARD_NAME":"BACOLOD_RESISTANCE_TO_ALKYLATING_AGENTS_UP","SYSTEMATIC_NAME":"M15908","ORGANISM":"Homo sapiens","PMID":"12479369","AUTHORS":"Bacolod MD,Johnson SP,Ali-Osman F,Modrich P,Bullock NS,Colvin OM,Bigner DD,Friedman HS","EXACT_SOURCE":"Table 1: signal ratio > 3","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes up-regulated in D-341 MED (OBR) cells (medulloblastoma) resistant to both carmustine and O6-BG [PubChem=2578;4578].","DESCRIPTION_FULL":"Medulloblastoma (D-341 MED) and rhabdomyosarcoma (TE-671) cell lines, which are resistant to either 1,3-bis(2-chloroethyl)-1-nitrosourea (BCNU) or the combination of BCNU and O6-benzylguanine (O6-BG), were generated by serial escalation of BCNU. The activities of O6-alkylguanine-DNA alkyltransferase (AGT), glutathione-S-transferase (GST), and total glutathione (GSH) of the parental, BCNU-resistant (BR), and BCNU + O6-BG-resistant (OBR) cells were measured. No significant differences in GST activity or total GSH were seen between the parental, BR, and OBR cells of both TE-671 and D-341 MED. The AGT activities of D-341 MED (BR) and TE-671 (BR) were twice those of D-341 MED and TE-671, respectively, confirming the importance of this enzyme for BCNU resistance. The D-341 MED (OBR) cells did not exhibit any AGT activity, suggesting that another mechanism must play a role in the drug resistance. Fewer DNA interstrand cross-links (ICLs) were observed in D-341 MED (OBR) than in D-341 MED after 8 h BCNU (100-400 microM) treatment. However, the amounts of DNA ICLs observed in D-341 MED and D-341 MED (OBR) were stable after 24 h. Microarray analysis showed the increased expressions of several metallothionein genes and down-regulation of several proapoptotic genes. The AGT activity of TE-671 (OBR) was 223 fmol/mg when the cells were grown in 10 microM O6-BG and decreased to about half this value when the O6-BG concentration was increased 60 microM. The AGT cDNA of TE-671 (OBR) cells was cloned and found to contain a G-to-T transversion at codon 156, resulting in conversion of glycine to cysteine (G156C). In vitro mutagenesis has shown that the G156C AGT mutant is resistant to inactivation by O6-BG. Thus, the selection of a mutant AGT with decreased sensitivity to O6-BG is a significant contributing factor to BCNU + O6-BG resistance."}
{"STANDARD_NAME":"MCDOWELL_ACUTE_LUNG_INJURY_DN","SYSTEMATIC_NAME":"M1650","ORGANISM":"Mus musculus","PMID":"12540486","AUTHORS":"McDowell SA,Gammon K,Zingarelli B,Bachurski CJ,Aronow BJ,Prows DR,Leikauf GD","EXACT_SOURCE":"Table 2","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes down-regulated in the mouse model of acute lung injury induced by inhaling nickel sulfate [PubChem=24586].","DESCRIPTION_FULL":"The role of nitric oxide (NO) in acute lung injury remains controversial. Although inhaled NO increases oxygenation in clinical trials, inhibiting NO-synthase (NOS) can be protective. To examine the latter, nickel-exposed mice were treated with saline or NOS inhibitor, N(G)-nitro-L-arginine methyl ester (L-NAME). Initial microarray analysis of nickel-induced gene expression of saline-treated mice revealed increased inflammatory mediator, matrix injury-repair, and hypoxia-induced factor-mediated sequences and decreased lung-specific (e.g., surfactant-associated protein B and C) sequences. Compared with saline control, L-NAME-treated mice had enhanced survival with attenuated serum nitrate/nitrite, endothelial NOS activity, and lavage neutrophils and protein. Although initial cytokine (i.e., interferon-gamma, interleukins-1beta and -6, macrophage inflammatory protein-2, monocyte chemotactic protein-1, and tumor necrosis factor-alpha) gene expression was similar between groups, subsequent larger cytokine increases only occurred in saline-treated mice. Similarly, surfactant protein gene expression decreased initially in both groups yet was restored subsequently with L-NAME treatment. Interestingly, the role of inducible NOS (iNOS) in these responses seems minimal. iNOS gene expression was unaltered, iNOS activity and nitrotyrosine residues were undetectable, and an iNOS antagonist, aminoguanidine, failed to increase survival. Rather, systemic L-NAME treatment appears to attenuate pulmonary endothelial NOS activity, subsequent cytokine expression, inflammation, and protein permeability, and thereby restores surfactant gene expression and increases survival."}
{"STANDARD_NAME":"RAMPON_ENRICHED_LEARNING_ENVIRONMENT_LATE_UP","SYSTEMATIC_NAME":"M1651","ORGANISM":"Mus musculus","PMID":"11070096","AUTHORS":"Rampon C,Jiang CH,Dong H,Tang YP,Lockhart DJ,Schultz PG,Tsien JZ,Hu Y","EXACT_SOURCE":"Table 1: 3h and 6 hr > 0","CHIP":"AFFY_Mu11K","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes up-regulated in the brain cortex of mice that were exposed to an enriched learning environment for 2 or 14 days.","DESCRIPTION_FULL":"An enriched environment is known to promote structural changes in the brain and to enhance learning and memory performance in rodents [Hebb, D. O. (1947) Am. Psychol. 2, 306-307]. To better understand the molecular mechanisms underlying these experience-dependent cognitive changes, we have used high-density oligonucleotide microarrays to analyze gene expression in the brain. Expression of a large number of genes changes in response to enrichment training, many of which can be linked to neuronal structure, synaptic plasticity, and transmission. A number of these genes may play important roles in modulating learning and memory capacity."}
{"STANDARD_NAME":"MARIADASON_RESPONSE_TO_BUTYRATE_SULINDAC_6","SYSTEMATIC_NAME":"M1652","ORGANISM":"Homo sapiens","PMID":"10969808","AUTHORS":"Mariadason JM,Corner GA,Augenlicht LH","EXACT_SOURCE":"Supp. File 2: cluster 6","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Cluster 6: genes down-regulated in SW260 cells (colon cancer) by sodium butyrate and sulindac [PubChem=5222465;5352].","DESCRIPTION_FULL":"The short-chain fatty acid butyrate, produced by microbial fermentation of dietary fiber in the large intestine, is a physiological regulator of major pathways of colonic epithelial cell maturation: cell cycle arrest, lineage-specific differentiation, and apoptosis. Microarray analysis of 8,063 sequences demonstrated a complex cascade of reprogramming of SW620 colonic epithelial cells upon treatment with butyrate characterized by the progressive recruitment of gene sets as a function of time. Comparison with the effects of trichostatin A, in conjunction with differences in the kinetics of alteration of histone acetylation induced by butyrate and trichostatin A, identified subsets of induced and repressed genes likely coordinately regulated by altered histone acetylation. The butyrate response was also compared in detail with that of sulindac, a nonsteroidal anti-inflammatory drug with significant chemopreventive activity for colon cancer, and curcumin, a component of mustard and curry structurally and functionally related to sulindac that also has chemopreventive activity. Although gene clusters were identified that showed similar responses to butyrate and sulindac, the data were characterized by the extensive differences in the effects of the two agents. This was striking for functional classes of genes involved in signaling pathways and in cell cycle progression, although butyrate and sulindac induce a similar G0-G1 arrest, elevation of beta-catenin-Tcf signaling, and apoptotic cascade. As regards cell cycle arrest, the underlying mechanism in response to butyrate was most similar to that of the Caco-2 cell line that had spontaneously undergone a G0-G1 arrest and least similar to the G2-M arrest stimulated by curcumin. Thus, high-throughput microarray analysis of gene expression profiles can be used to characterize and distinguish the mechanisms of response of colonic epithelial cells to physiological and pharmacological inducers of cell maturation. This has important implications for characterization of chemopreventive agents and recognition of potential toxicity and synergies. The data bases, gene clusters, and analyses are available at http:// sequence.aecom.yu.edu/genome/."}
{"STANDARD_NAME":"GENTILE_UV_LOW_DOSE_DN","SYSTEMATIC_NAME":"M4594","ORGANISM":"Homo sapiens","PMID":"12907719","AUTHORS":"Gentile M,Latonen L,Laiho M","GEOID":"GSE713","EXACT_SOURCE":"Table 1S","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Selected genes down-regulated in WS1 (fibroblast) in response to irradiation with low dose UV-C.","DESCRIPTION_FULL":"DNA damage caused by UV radiation initiates cellular recovery mechanisms, which involve activation of DNA damage response pathways, cell cycle arrest and apoptosis. To assess cellular transcriptional responses to UVC-induced DNA damage we compared time course responses of human skin fibroblasts to low and high doses of UVC radiation known to induce a transient cellular replicative arrest or apoptosis, respectively. UVC radiation elicited >3-fold changes in 460 out of 12,000 transcripts and 89% of these represented downregulated transcripts. Only 5% of the regulated genes were common to both low and high doses of radiation. Cells inflicted with a low dose of UVC exhibited transcription profiles demonstrating transient regulation followed by recovery, whereas the responses were persistent after the high dose. A detailed clustering analysis and functional classification of the targets implied regulation of biologically divergent responses and suggested involvement of transcriptional and translational machinery, inflammatory, anti-proliferative and anti-angiogenic responses. The data support the notion that UVC radiation induces prominent, dose-dependent downregulation of transcription. However, the data strongly suggest that transcriptional repression is also target gene selective. Furthermore, the results demonstrate that dose-dependent induction of cell cycle arrest and apoptosis by UVC radiation are transcriptionally highly distinct responses."}
{"STANDARD_NAME":"SARTIPY_NORMAL_AT_INSULIN_RESISTANCE_DN","SYSTEMATIC_NAME":"M1654","ORGANISM":"Mus musculus","PMID":"14530283","AUTHORS":"Sartipy P,Loskutoff DJ","EXACT_SOURCE":"Table 3","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes down-regulated in 3T3-L1 cells (adipocyte) by insulin [GeneID=3630] which continued to respond normally to insulin in the insulin resistant cells.","DESCRIPTION_FULL":"We have employed microarray technology using RNA from normal 3T3-L1 adipocytes and from 3T3-L1 adipocytes made insulin-resistant by treatment with tumor necrosis factor-alpha to identify a new class of insulin-responsive genes. These genes continued to respond normally to insulin even though the adipocytes themselves were metabolically insulin-resistant, i.e. they displayed a significantly decreased rate of insulin-stimulated glucose uptake. Approximately 12,000 genes/expressed sequence tags (ESTs) were screened. Of these, 40 genes/ESTs were identified that became insulin-resistant as expected (e.g. Socs-3, junB, and matrix metalloproteinase-11). However, 61 genes/ESTs continued to respond normally to insulin. Although some of these genes were previously shown to be regulated by insulin (e.g. Glut-1 and beta3-adrenergic receptor), other novel insulin-sensitive genes were also identified (e.g. Egr-1, epiregulin, Fra-1, and ABCA1). Real-time reverse transcription-PCR analysis confirmed the expression patterns of several of the differentially expressed genes. One gene that remained insulin-sensitive in the insulin-resistant adipocytes is the transcription factor Egr-1. Using an antisense strategy, we show that tissue factor and macrophage colony-stimulating factor, two cardiovascular risk factors, are downstream EGR-1 target genes in the adipocyte. Taken together, these data support the hypothesis that some signaling pathways remain insulin-sensitive in metabolically insulin-resistant adipocytes. These pathways may promote abnormal gene expression in hyperinsulinemic states like obesity and type II diabetes and thus may contribute to pathologies associated with these conditions."}
{"STANDARD_NAME":"BANDRES_RESPONSE_TO_CARMUSTIN_MGMT_48HR_UP","SYSTEMATIC_NAME":"M2042","ORGANISM":"Homo sapiens","PMID":"15980968","AUTHORS":"Bandres E,Andion E,Escalada A,Honorato B,Catalan V,Cubedo E,Cordeu L,Garcia F,Zarate R,Zabalegui N,Garcia-Foncillas J","EXACT_SOURCE":"Table 3: 48 h up-regulated","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes up-regulated in T98G cells (glioma, express MGMT [GeneID=4255]) by carmustine [PubChem=2578] at 48 h.","DESCRIPTION_FULL":"Chemotherapy with the alkylating agent BCNU (1,3-bis (2-chloroethyl)-1-nitrosourea) is the most commonly used chemotherapeutic agent for gliomas. However, the usefulness of this agent is limited because tumor cell resistance to BCNU is frequently found in clinical brain tumor therapy. The O6-methylguanine-DNA methyltransferase protein (MGMT) reverses alkylation at the O6 position of guanine and we have reported the role of MGMT in the response of brain tumors to alkylating agents. However, the different mechanisms underlying the patterns related to MGMT remain unclear. To better understand the molecular mechanism by which BCNU exerts its effect in glioma cell lines according MGMT expression, we used microarray technology to interrogate 3800 known genes and determine the gene expression profiles altered by BCNU treatment. Our results showed that treatment with BCNU alters the expression of a diverse group of genes in a time-dependent manner. A subset of gene changes was found common in both glioma cell lines and other subset is specific of each cell line. After 24 h of BCNU treatment, up-regulation of transcription factors involved in the nucleation of both RNA polymerase II and III transcription initiation complexes was reported. Interestingly, BCNU promoted the expression of actin-dependent regulators of chromatin. Similar effects were found with higher BCNU doses in MGMT+ cell line showing a similar mechanism that in MGMT-deficient cell with standard doses. Our data suggest that human glioma cell lines treated with BCNU, independently of MGMT expression, show changes in the expression of cell cycle and survival-related genes interfering the transcription mechanisms and the chromatin regulation."}
{"STANDARD_NAME":"GENTILE_UV_RESPONSE_CLUSTER_D8","SYSTEMATIC_NAME":"M15693","ORGANISM":"Homo sapiens","PMID":"12907719","AUTHORS":"Gentile M,Latonen L,Laiho M","GEOID":"GSE713","EXACT_SOURCE":"Table 2S: Cluster d8","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Cluster d8: genes progressively down-regulated in WS1 cells (fibroblast) through 18 h after irradiation with high dose UV-C.","DESCRIPTION_FULL":"DNA damage caused by UV radiation initiates cellular recovery mechanisms, which involve activation of DNA damage response pathways, cell cycle arrest and apoptosis. To assess cellular transcriptional responses to UVC-induced DNA damage we compared time course responses of human skin fibroblasts to low and high doses of UVC radiation known to induce a transient cellular replicative arrest or apoptosis, respectively. UVC radiation elicited >3-fold changes in 460 out of 12,000 transcripts and 89% of these represented downregulated transcripts. Only 5% of the regulated genes were common to both low and high doses of radiation. Cells inflicted with a low dose of UVC exhibited transcription profiles demonstrating transient regulation followed by recovery, whereas the responses were persistent after the high dose. A detailed clustering analysis and functional classification of the targets implied regulation of biologically divergent responses and suggested involvement of transcriptional and translational machinery, inflammatory, anti-proliferative and anti-angiogenic responses. The data support the notion that UVC radiation induces prominent, dose-dependent downregulation of transcription. However, the data strongly suggest that transcriptional repression is also target gene selective. Furthermore, the results demonstrate that dose-dependent induction of cell cycle arrest and apoptosis by UVC radiation are transcriptionally highly distinct responses."}
{"STANDARD_NAME":"HAN_JNK_SINGALING_DN","SYSTEMATIC_NAME":"M1655","ORGANISM":"Mus musculus","PMID":"12354774","AUTHORS":"Han SY,Kim SH,Heasley LE","EXACT_SOURCE":"Table 3","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes down-regulated in 3T3 cells (fibroblast) upon activation of JNK pathway.","DESCRIPTION_FULL":"The c-Jun N-terminal kinases (JNKs) are encoded by three genes that yield 10 isoforms through alternative mRNA splicing. The roles of each JNK isoform in the many putative biological responses where the JNK pathway is activated are still unclear. To examine the cellular responses mediated by different JNK isoforms, gain-of-function JNK1 polypeptides were generated by fusing the upstream mitogen-activated protein kinase kinase, MKK7, with p46JNK1alpha or p46JNK1beta. The MKK7-JNK fusion proteins, which exhibited constitutive activity in 293T cells, were stably expressed in Swiss 3T3 fibroblasts using retrovirus-mediated gene transfer. Swiss 3T3 cells expressing either of the MKK7-JNK polypeptides were equally sensitized to induction of cell death following serum withdrawal. To search for other cellular responses that may be selectively regulated by the JNK1 isoforms, the gene expression profiles of Swiss 3T3 cells expressing MKK7-JNK1alpha or MKK7-JNK1beta were compared with empty vector-transfected control cells. Affymetrix Genechips identified 46 genes for which expression was increased in MKK7-JNK-expressing cells relative to vector control cells. Twenty genes including those for c-Jun, MKP-7, interluekin-1 receptor family member ST2L/ST2, and c-Jun-binding protein were induced similarly by MKK7-JNK1alpha and MKK7-JNK1beta proteins, whereas 13 genes were selectively increased by MKK7-JNK1alpha and 13 genes were selectively increased by MKK7-JNK1beta. The set of genes selectively induced by MKK7-JNK1beta included a number of known interferon-stimulated genes (ISG12, ISG15, IGTP, and GTPI). Consistent with these gene expression changes, Swiss 3T3 cells expressing MKK7-JNK1beta exhibited increased resistance to vesicular stomatitis virus-induced cell death. These findings reveal evidence for JNK isoform-selective gene regulation and support a role for distinct JNK isoforms in specific cellular responses."}
{"STANDARD_NAME":"KRASNOSELSKAYA_ILF3_TARGETS_DN","SYSTEMATIC_NAME":"M12166","ORGANISM":"Homo sapiens","PMID":"12036489","AUTHORS":"Krasnoselskaya-Riz I,Spruill A,Chen YW,Schuster D,Teslovich T,Baker C,Kumar A,Stephan DA","EXACT_SOURCE":"Table 2: Fold Change < 0","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Down-regulated in GHOST(3)CXCR4 cells (osteosarcoma) upon ectopic expression of ILF3 [GeneID=3609].","DESCRIPTION_FULL":"Viral infection triggers a cascade of interferon response genes, but the mechanisms that prime such innate antiviral defenses are poorly understood. Among candidate cellular mediators of the antiviral response are the double-stranded RNA (dsRNA)-binding proteins. Here we show that a C-terminal variant of the ubiquitous dsRNA-binding protein, nuclear factor 90 (NF90ctv), can activate the interferon response genes in the absence of viral infection. NF90ctv-expressing cells were infected with the syncytium-inducing HIV-1 strain NL4-3 and were shown to inhibit viral replication. To gain insight into this mechanism of protection, we analyzed the expression profiles of NF90ctv-positive cells as compared with parental cells transduced with the empty vector. Of the 5600 genes represented on the expression arrays, 90 displayed significant (4-fold or more) changes in mRNA levels in NF90-expressing cells. About 50% are known interferon alpha/beta-stimulated genes. The microarray expression data were confirmed by quantitative reverse transcriptase-polymerase chain reaction analysis of six representative interferon-inducible genes. Electrophoretic mobility shift assays showed that the biological response is mediated by the activation of transcription factors in NF90ctv-expressing cells. Functional significance of the activated transcription complex was evaluated by transfection assays with luciferase reporter constructs driven by the interferon-inducible promoter from the 2'-5'-oligoadenylate synthetase (p69) gene. Resistance to HIV-1, caused by the expression of NF90ctv in the cell culture system, appears to be mediated in part by the induction of interferon response genes. This leads to a hypothesis as to the mechanism of action of NF90 in mediating endogenous antiviral responses."}
{"STANDARD_NAME":"LEE_CALORIE_RESTRICTION_MUSCLE_DN","SYSTEMATIC_NAME":"M1657","ORGANISM":"Mus musculus","PMID":"10464095","AUTHORS":"Lee CK,Klopp RG,Weindruch R,Prolla TA","EXACT_SOURCE":"Table 4S","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Down-regulated in the gastrocnemius muscle of aged (30-month) mice subjected to caloric restriction diet since young adulthood.","DESCRIPTION_FULL":"The gene expression profile of the aging process was analyzed in skeletal muscle of mice. Use of high-density oligonucleotide arrays representing 6347 genes revealed that aging resulted in a differential gene expression pattern indicative of a marked stress response and lower expression of metabolic and biosynthetic genes. Most alterations were either completely or partially prevented by caloric restriction, the only intervention known to retard aging in mammals. Transcriptional patterns of calorie-restricted animals suggest that caloric restriction retards the aging process by causing a metabolic shift toward increased protein turnover and decreased macromolecular damage."}
{"STANDARD_NAME":"LEE_AGING_MUSCLE_UP","SYSTEMATIC_NAME":"M1658","ORGANISM":"Mus musculus","PMID":"10464095","AUTHORS":"Lee CK,Klopp RG,Weindruch R,Prolla TA","EXACT_SOURCE":"Table 1S","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Upregulated in the gastrocnemius muscle of aged adult mice (30-month) vs young adult (5-month)","DESCRIPTION_FULL":"The gene expression profile of the aging process was analyzed in skeletal muscle of mice. Use of high-density oligonucleotide arrays representing 6347 genes revealed that aging resulted in a differential gene expression pattern indicative of a marked stress response and lower expression of metabolic and biosynthetic genes. Most alterations were either completely or partially prevented by caloric restriction, the only intervention known to retard aging in mammals. Transcriptional patterns of calorie-restricted animals suggest that caloric restriction retards the aging process by causing a metabolic shift toward increased protein turnover and decreased macromolecular damage."}
{"STANDARD_NAME":"CARDOSO_RESPONSE_TO_GAMMA_RADIATION_AND_3AB","SYSTEMATIC_NAME":"M1659","ORGANISM":"Mus musculus","PMID":"12379459","AUTHORS":"Cardoso RS,Espanhol AR,Passos GA,Sakamoto-Hojo ET","EXACT_SOURCE":"Table 2: Genes with negative interaction","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Down-regulated synergystically by gamma-irradiation and 3-aminobenzamine [PubChem=1645], an inhibitor of PARP1 [GeneID=142].","DESCRIPTION_FULL":"3-Aminobenzamide (3AB) is an inhibitor of poly (ADP-ribose) polymerase (PARP), an enzyme implicated in the maintenance of genomic integrity, which is activated in response to radiation-induced DNA strand breaks. cDNA macroarray membranes containing 1536 clones were used to characterize the gene expression profiles displayed by mouse BALB/3T3 fibroblasts (A31 cell line) in response to ionizing irradiation alone or in combination with 3AB. A31 cells in exponential growth were pre-treated with 3AB 4mM 1h before gamma-irradiation (4Gy), remaining in culture during 6h until harvesting time. A31 cells treated with 3AB alone presented a down-regulation in genes involved in protein processing and cell cycle control, while an up-regulation of genes involved in apoptosis and related to DNA/RNA synthesis and repair was verified. A31 cells irradiated with 4Gy displayed 41 genes differentially expressed, being detected a down-regulation of genes involved in protein processing and apoptosis, and genes controlling the cell cycle. Concomitantly, another set of genes for protein processing and related to DNA/RNA synthesis and repair were found to be up-regulated. A positive or negative interaction effect between 3AB and radiation was verified for 29 known genes. While the combined treatment induced a synergistic effect on the expression of LCK proto-oncogene and several genes related to protein synthesis/processing, a negative interaction effect was found for the expression of genes related to cytoskeleton and extracellular matrix assembly (SATB1 and Anexin III), cell cycle control (tyrosine kinase), and genes participating in DNA/RNA synthesis and repair (RNA helicase, FLAP endonuclease-1, DNA-3 glycosylase methyladenine, splicing factor SC35 and Soh1). The present data open the possibility to investigate the direct participation of specific genes, or gene products acting in concert in the mechanism underlying the cell response to radiation-induced DNA damage under the influence of PARP inhibitor."}
{"STANDARD_NAME":"MULLIGAN_NTF3_SIGNALING_VIA_INSR_AND_IGF1R_DN","SYSTEMATIC_NAME":"M1660","ORGANISM":"Mus musculus","PMID":"12213819","AUTHORS":"Mulligan C,Rochford J,Denyer G,Stephens R,Yeo G,Freeman T,Siddle K,O'Rahilly S","EXACT_SOURCE":"Table 1B","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes similarly down-regulated in 3T3-L1 cells (fibroblasts able to differentiate to adipocytes) upon stimulation of INSR or IGFR1 by NTF3 [GeneID=3643;3480;4908].","DESCRIPTION_FULL":"Insulin and insulin-like growth factor-1 (IGF-1) act through highly homologous receptors that engage similar intracellular signaling pathways, yet these hormones serve largely distinct physiological roles in the control of metabolism and growth, respectively. In an attempt to uncover the molecular mechanisms underlying their divergent functions, we compared insulin receptor (IR) and IGF-1 receptor (IGF-1R) regulation of gene expression by microarray analysis, using 3T3-L1 cells expressing either TrkC/IR or TrkC/IGF-1R chimeric receptors to ensure the highly selective activation of each receptor tyrosine kinase. Following stimulation of the chimeric receptors for 4 h, we detected 11 genes to be differentially regulated, of which 10 were up-regulated to a greater extent by the IGF-1R. These included genes involved in adhesion, transcription, transport, and proliferation. The expression of mRNA encoding heparin-binding epidermal growth factor-like growth factor (HB-EGF), a potent mitogen, was markedly increased by IGF-1R but not IR activation. This effect was dependent on MAPK, but not phosphatidylinositol 3-kinase, and did not require an autocrine loop through the epidermal growth factor receptor. HB-EGF mitogenic activity was detectable in the medium of 3T3-L1 preadipocytes expressing activated IGF-1R but not IR, indicating that the transcriptional response is accompanied by a parallel increase in mature HB-EGF protein. The differential abilities of the IR and IGF-1R tyrosine kinases to stimulate the synthesis and release of a growth factor may provide, at least in part, an explanation for the greater role of the IGF-1R in the control of cellular proliferation."}
{"STANDARD_NAME":"SASSON_FSH_RESPONSE","SYSTEMATIC_NAME":"M1663","ORGANISM":"Rattus norvegicus","PMID":"12832290","AUTHORS":"Sasson R,Dantes A,Tajima K,Amsterdam A","EXACT_SOURCE":"Table 1A","CHIP":"RAT_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes up-regulated in rFSH-17 cells (primary granulosa) after stimulation with FSH.","DESCRIPTION_FULL":"Follicle-stimulating hormone (FSH) controls the development of follicle-enclosed oocytes in the mammalian ovary by interacting with specific receptors located exclusively on granulosa cells. Its biological activity involves stimulation of intercellular communication, intracellular signaling, and up-regulation of steroidogenesis; the entire spectrum of genes regulated by FSH is not yet fully characterized. We have established monoclonal rat FSH-responsive granulosa cell lines that express FSH receptors at 20-fold higher rates than with primary cells, and thus increased the probability of yielding a distinct spectrum of genes modulated by FSH. Using Affymetrix DNA microarrays, we discovered 11 genes not reported earlier to be up-regulated by FSH and 9 genes not reported earlier to be down-regulated by FSH. Modulation of signal transduction associated with G-protein signaling, phosphorylation of proteins, and intracellular-extracellular ion balance was suggested by up-regulation of decay accelerating factor GPI-form precursor (DAF), membrane interacting protein RGS16, protein tyrosine phosphatase (PTPase), oxidative stress-inducible protein tyrosine phosphatase (OSIPTPase), and down-regulation of rat prostatic acid phosphatase (rPAP), Na+, K+-ATPase, and protein phosphatase 1beta. Elevation in granzyme-like proteins 1 and 3, and natural killer (NK) cell protease 1 (NKP-1) along with reduction in carboxypeptidase E indicates possible FSH-mediated preparation of the cells for apoptosis. Up-regulation of vascular endothelial growth factors indicates the ability of FSH to produce angiogenic factors upon their maturation; whereas, reduction in insulin-like growth factor binding protein (IGFBP3) indicates its increased potential to promote p53-induced apoptosis. Striking similarities in FSH modulation of gene expression were found in primary cultures of human granulosa cells obtained from IVF patients although these cells expressed only 1% of FSH receptor compared with immortalized rat cells, as indicated by microarray technique, which probably is in the normal range of expression of this receptor in nontransformed cells. These findings should increase our understanding of the mechanism of FSH action in stimulating development of the ovarian follicular cells, of intracellular and intercellular communication, and of increasing the potential of ovarian follicular cells to undergo apoptosis during the process of selection of the dominant follicle."}
{"STANDARD_NAME":"CHEN_ETV5_TARGETS_TESTIS","SYSTEMATIC_NAME":"M1664","ORGANISM":"Mus musculus","PMID":"16107850","AUTHORS":"Chen C,Ouyang W,Grigura V,Zhou Q,Carnes K,Lim H,Zhao GQ,Arber S,Kurpios N,Murphy TL,Cheng AM,Hassell JA,Chandrashekar V,Hofmann MC,Hess RA,Murphy KM","GEOID":"GSE2205","EXACT_SOURCE":"Table 1S","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes down-regulated in testis from 4 week old ETV5 [GeneID=2119] knockout mice.","DESCRIPTION_FULL":"Division of spermatogonial stem cells produces daughter cells that either maintain their stem cell identity or undergo differentiation to form mature sperm. The Sertoli cell, the only somatic cell within seminiferous tubules, provides the stem cell niche through physical support and expression of surface proteins and soluble factors. Here we show that the Ets related molecule (ERM) is expressed exclusively within Sertoli cells in the testis and is required for spermatogonial stem cell self-renewal. Mice with targeted disruption of ERM have a loss of maintenance of spermatogonial stem cell self-renewal without a block in normal spermatogenic differentiation and thus have progressive germ-cell depletion and a Sertoli-cell-only syndrome. Microarray analysis of primary Sertoli cells from ERM-deficient mice showed alterations in secreted factors known to regulate the haematopoietic stem cell niche. These results identify a new function for the Ets family transcription factors in spermatogenesis and provide an example of transcriptional control of a vertebrate stem cell niche."}
{"STANDARD_NAME":"JIANG_AGING_CEREBRAL_CORTEX_DN","SYSTEMATIC_NAME":"M1665","ORGANISM":"Mus musculus","PMID":"11172053","AUTHORS":"Jiang CH,Tsien JZ,Schultz PG,Hu Y","EXACT_SOURCE":"Table 2, 4S: FC <= -2","CHIP":"AFFY_Mu11K","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Down-regulated in the cerebral cortex of aged (22 months) BALB/c mice, compared to young (2 months) controls","DESCRIPTION_FULL":"A better understanding of the molecular effects of aging in the brain may help to reveal important aspects of organismal aging, as well as processes that lead to age-related brain dysfunction. In this study, we have examined differences in gene expression in the hypothalamus and cortex of young and aged mice by using high-density oligonucleotide arrays. A number of key genes involved in neuronal structure and signaling are differentially expressed in both the aged hypothalamus and cortex, including synaptotagmin I, cAMP-dependent protein kinase C beta, apolipoprotein E, protein phosphatase 2A, and prostaglandin D. Misregulation of these proteins may contribute to age-related memory deficits and neurodegenerative diseases. In addition, many proteases that play essential roles in regulating neuropeptide metabolism, amyloid precursor protein processing, and neuronal apoptosis are up-regulated in the aged brain and likely contribute significantly to brain aging. Finally, a subset of these genes whose expression is affected by aging are oppositely affected by exposure of mice to an enriched environment, suggesting that these genes may play important roles in learning and memory."}
{"STANDARD_NAME":"VISALA_RESPONSE_TO_HEAT_SHOCK_AND_AGING_DN","SYSTEMATIC_NAME":"M1667","ORGANISM":"Homo sapiens","PMID":"12618007","AUTHORS":"Visala Rao D,Boyle GM,Parsons PG,Watson K,Jones GL","EXACT_SOURCE":"Table 1: increase in young","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes down-regulated after heat shock in peripheral lympocytes from old donors, compared to those from the young ones.","DESCRIPTION_FULL":"Ageing results in a progressive, intrinsic and generalised imbalance of the control of regulatory systems. A key manifestation of this complex biological process includes the attenuation of the universal stress response. Here we provide the first global assessment of the ageing process as it affects the heat shock response, utilising human peripheral lymphocytes and cDNA microarray analysis. The genomic approach employed in our preliminary study was supplemented with a proteomic approach. In addition, the current study correlates the in vivo total antioxidant status with the age-related differential gene expression as well as the translational kinetics of heat shock proteins (hsps). Most of the genes encoding stress response proteins on the 4224 element microarray used in this study were significantly elevated after heat shock treatment of lymphocytes obtained from both young and old individuals albeit to a greater extent in the young. Cell signaling and signal transduction genes as well as some oxidoreductases showed varied response. Results from translational kinetics of induction of major hsps, from 0 to 24 h recovery period were broadly consistent with the differential expression of HSC 70 and HSP 40 genes. Total antioxidant levels in plasma from old individuals were found to be significantly lower by comparison with young, in agreement with the widely acknowledged role of oxidant homeostasis in the ageing process."}
{"STANDARD_NAME":"JIANG_AGING_HYPOTHALAMUS_UP","SYSTEMATIC_NAME":"M1668","ORGANISM":"Mus musculus","PMID":"11172053","AUTHORS":"Jiang CH,Tsien JZ,Schultz PG,Hu Y","EXACT_SOURCE":"Table 1, 3S: FC > 2","CHIP":"AFFY_Mu11K","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Up-regulated in the hypothalamus of aged (22 months) BALB/c mice, compared to young (2 months) controls","DESCRIPTION_FULL":"A better understanding of the molecular effects of aging in the brain may help to reveal important aspects of organismal aging, as well as processes that lead to age-related brain dysfunction. In this study, we have examined differences in gene expression in the hypothalamus and cortex of young and aged mice by using high-density oligonucleotide arrays. A number of key genes involved in neuronal structure and signaling are differentially expressed in both the aged hypothalamus and cortex, including synaptotagmin I, cAMP-dependent protein kinase C beta, apolipoprotein E, protein phosphatase 2A, and prostaglandin D. Misregulation of these proteins may contribute to age-related memory deficits and neurodegenerative diseases. In addition, many proteases that play essential roles in regulating neuropeptide metabolism, amyloid precursor protein processing, and neuronal apoptosis are up-regulated in the aged brain and likely contribute significantly to brain aging. Finally, a subset of these genes whose expression is affected by aging are oppositely affected by exposure of mice to an enriched environment, suggesting that these genes may play important roles in learning and memory."}
{"STANDARD_NAME":"KYNG_RESPONSE_TO_H2O2","SYSTEMATIC_NAME":"M1671","ORGANISM":"Homo sapiens","PMID":"12606941","AUTHORS":"Kyng KJ,May A,Brosh RM Jr,Cheng WH,Chen C,Becker KG,Bohr VA","EXACT_SOURCE":"Table 1","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes up-regulated in response to hydrogen peroxide [PubChem=784] in CS-B cells (Cockayne syndrome fibroblast, CS) expressing ERCC6 [GeneID=2074] off a plasmid vector.","DESCRIPTION_FULL":"Cockayne syndrome (CS) is a human hereditary disease belonging to the group of segmental progerias, and the clinical phenotype is characterized by postnatal growth failure, neurological dysfunction, cachetic dwarfism, photosensitivity, sensorineural hearing loss, and retinal degradation. CS-B cells are defective in transcription-coupled DNA repair, base excision repair, transcription, and chromatin structural organization. Using array analysis, we have examined the expression profile in CS complementation group B (CS-B) fibroblasts after exposure to oxidative stress (H2O2) before and after complete complementation with the CSB gene. The following isogenic cell lines were compared: CS-B cells (CS-B null), CS-B cells complemented with wild-type CSB (CS-B wt), and a stably transformed cell line with a point mutation in the ATPase domain of CSB (CS-B ATPase mutant). In the wt rescued cells, we detected significant induction (two-fold) of 112 genes out of the 6912 analysed. The patterns suggested an induction or upregulation of genes involved in several DNA metabolic processes including DNA repair, transcription, and signal transduction. In both CS-B mutant cell lines, we found a general deficiency in transcription after oxidative stress, suggesting that the CSB protein influenced the regulation of transcription of certain genes. Of the 6912 genes, 122 were differentially regulated by more than two-fold. Evidently, the ATPase function of CSB is biologically important as the deficiencies seen in the ATPase mutant cells are very similar to those observed in the CS-B-null cells. Some major defects are in the transcription of genes involved in DNA repair, signal transduction, and ribosomal functions."}
{"STANDARD_NAME":"VERRECCHIA_RESPONSE_TO_TGFB1_C3","SYSTEMATIC_NAME":"M5321","ORGANISM":"Homo sapiens","PMID":"11279127","AUTHORS":"Verrecchia F,Chu ML,Mauviel A","EXACT_SOURCE":"Table 1: Cluster 3","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Cluster 3: ECM related genes up-regulated in dermal fibroblasts within 30 min after TGFB1 [GeneID=7040] addition; returned rapidly to basal level after that.","DESCRIPTION_FULL":"Despite major advances in the understanding of the intimate mechanisms of transforming growth factor-beta (TGF-beta) signaling through the Smad pathway, little progress has been made in the identification of direct target genes. In this report, using cDNA microarrays, we have focussed our attention on the characterization of extracellular matrix-related genes rapidly induced by TGF-beta in human dermal fibroblasts and attempted to identify the ones whose up-regulation by TGF-beta is Smad-mediated. For a gene to qualify as a direct Smad target, we postulated that it had to meet the following criteria: (1) rapid (30 min) and significant (at least 2-fold) elevation of steady-state mRNA levels upon TGF-beta stimulation, (2) activation of the promoter by both exogenous TGF-beta and co-transfected Smad3 expression vector, (3) up-regulation of promoter activity by TGF-beta blocked by both dominant-negative Smad3 and inhibitory Smad7 expression vectors, and (4) promoter transactivation by TGF-beta not possible in Smad3(-/-) mouse embryo fibroblasts. Using this stringent approach, we have identified COL1A2, COL3A1, COL6A1, COL6A3, and tissue inhibitor of metalloproteases-1 as definite TGF-beta/Smad3 targets. Extrapolation of this approach to other extracellular matrix-related gene promoters also identified COL1A1 and COL5A2, but not COL6A2, as novel Smad targets. Together, these results represent a significant step toward the identification of novel, early-induced Smad-dependent TGF-beta target genes in fibroblasts."}
{"STANDARD_NAME":"TSENG_ADIPOGENIC_POTENTIAL_UP","SYSTEMATIC_NAME":"M75","ORGANISM":"Mus musculus","PMID":"15895078","AUTHORS":"Tseng YH,Butte AJ,Kokkotou E,Yechoor VK,Taniguchi CM,Kriauciunas KM,Cypess AM,Niinobe M,Yoshikawa K,Patti ME,Kahn CR","GEOID":"GSE2556","EXACT_SOURCE":"Fig. 2S: Up progression","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes showing increasing expression in brown preadipocytes with decreasing ability of the cells to differentiate.","DESCRIPTION_FULL":"The insulin/IGF-1 (insulin-like growth factor 1) signalling pathway promotes adipocyte differentiation via complex signalling networks. Here, using microarray analysis of brown preadipocytes that are derived from wild-type and insulin receptor substrate (Irs) knockout animals that exhibit progressively impaired differentiation, we define 374 genes/expressed-sequence tags whose expression in preadipocytes correlates with the ultimate ability of the cells to differentiate. Many of these genes, including preadipocyte factor-1 (Pref-1) and multiple members of the Wnt signalling pathway, are related to early adipogenic events. Necdin is also markedly increased in Irs knockout cells that cannot differentiate, and knockdown of necdin restores brown adipogenesis with downregulation of Pref-1 and Wnt10a expression. Insulin receptor substrate proteins regulate a necdin-E2F4 interaction that represses peroxisome-proliferator-activated receptor gamma (PPARgamma) transcription via a cyclic AMP response element binding protein (CREB)-dependent pathway. Together these define a key signalling network that is involved in brown preadipocyte determination."}
{"STANDARD_NAME":"JOSEPH_RESPONSE_TO_SODIUM_BUTYRATE_UP","SYSTEMATIC_NAME":"M1674","ORGANISM":"Homo sapiens","PMID":"15318170","AUTHORS":"Joseph J,Mudduluru G,Antony S,Vashistha S,Ajitkumar P,Somasundaram K","EXACT_SOURCE":"Table 1","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes up-regulated in H460 cells (non-small cell lung carcinoma, NSCLC) after treatment with sodium butyrate [PubChem=5222465].","DESCRIPTION_FULL":"Histone deacetylase (HDAC) inhibitors induce growth arrest and apoptosis in a variety of human cancer cells. Sodium butyrate (NaB), a short chain fatty acid, is a HDAC inhibitor and is produced in the colonic lumen as a consequence of microbial degradation of dietary fibers. In order to dissect out the mechanism of NaB-induced growth inhibition of cancer cells, we carried out expression profiling of a human lung carcinoma cell line (H460) treated with NaB using a cDNA microarray. Of the total 1728 genes analysed, there were 32 genes with a mean expression value of 2.0-fold and higher and 66 genes with a mean expression value 3.0-fold and lower in NaB-treated cells. For a few selected genes, we demonstrate that their expression pattern by semiquantitative reverse transcription-polymerase chain reaction (RT-PCR) analysis is matching with the results obtained by microarray analysis. Closer view at the expression profile of NaB-treated cells revealed the downregulation of a total of 16 genes associated with cytokine signaling, in particular, interferon gamma (IFNgamma) pathway. In good correlation, NaB-pretreated cells failed to induce interferon regulatory factor 1, an INFgamma target gene, efficiently upon IFNgamma addition. These results suggest that NaB inhibits proinflammatory cytokine signaling pathway, thus providing proof of mechanism for its anti-inflammatory activity. We also found that NaB induced three genes, which are known metastatic suppressors, and downregulated 11 genes, which have been shown to promote metastasis. Upregulation of metastatic suppressor Kangai 1 (KAI1) by NaB in a time-dependent manner was confirmed by RT-PCR analysis. The differential regulation of metastasis-associated genes by NaB provides explanation for the anti-invasive properties of NaB. Therefore, our study presents new evidence for pathways regulated by NaB, thus providing evidence for the mechanism behind anti-inflammatory and antimetastatic activities of NaB."}
{"STANDARD_NAME":"SU_PLACENTA","SYSTEMATIC_NAME":"M6349","ORGANISM":"Homo sapiens","PMID":"11904358","AUTHORS":"Su AI,Cooke MP,Ching KA,Hakak Y,Walker JR,Wiltshire T,Orth AP,Vega RG,Sapinoso LM,Moqrich A,Patapoutian A,Hampton GM,Schultz PG,Hogenesch JB","GEOID":"GSE96","EXACT_SOURCE":"Table 1S: Max Tissue=Placenta","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes up-regulated specifically in human placenta.","DESCRIPTION_FULL":"High-throughput gene expression profiling has become an important tool for investigating transcriptional activity in a variety of biological samples. To date, the vast majority of these experiments have focused on specific biological processes and perturbations. Here, we have generated and analyzed gene expression from a set of samples spanning a broad range of biological conditions. Specifically, we profiled gene expression from 91 human and mouse samples across a diverse array of tissues, organs, and cell lines. Because these samples predominantly come from the normal physiological state in the human and mouse, this dataset represents a preliminary, but substantial, description of the normal mammalian transcriptome. We have used this dataset to illustrate methods of mining these data, and to reveal insights into molecular and physiological gene function, mechanisms of transcriptional regulation, disease etiology, and comparative genomics. Finally, to allow the scientific community to use this resource, we have built a free and publicly accessible website (http://expression.gnf.org) that integrates data visualization and curation of current gene annotations."}
{"STANDARD_NAME":"SUZUKI_RESPONSE_TO_TSA","SYSTEMATIC_NAME":"M1680","ORGANISM":"Homo sapiens","PMID":"11992124","AUTHORS":"Suzuki H,Gabrielson E,Chen W,Anbazhagan R,van Engeland M,Weijenberg MP,Herman JG,Baylin SB","EXACT_SOURCE":"Table 1: Group 2","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"John Newman","CONTRIBUTOR_ORG":"University of Washington","DESCRIPTION_BRIEF":"Genes up-regulated by TSA alone [PubChem=5562], with non-hypermethylated promoters, in RKO cells (colorectal cancer).","DESCRIPTION_FULL":"Aberrant hypermethylation of gene promoters is a major mechanism associated with inactivation of tumor-suppressor genes in cancer. We previously showed this transcriptional silencing to be mediated by both methylation and histone deacetylase activity, with methylation being dominant. Here, we have used cDNA microarray analysis to screen for genes that are epigenetically silenced in human colorectal cancer. By screening over 10,000 genes, we show that our approach can identify a substantial number of genes with promoter hypermethylation in a given cancer; these are distinct from genes with unmethylated promoters, for which increased expression is produced by histone deacetylase inhibition alone. Many of the hypermethylated genes we identified have high potential for roles in tumorigenesis by virtue of their predicted function and chromosome position. We also identified a group of genes that are preferentially hypermethylated in colorectal cancer and gastric cancer. One of these genes, SFRP1, belongs to a gene family; we show that hypermethylation of four genes in this family occurs very frequently in colorectal cancer, providing for (i) a unique potential mechanism for loss of tumor-suppressor gene function and (ii) construction of a molecular marker panel that could detect virtually all colorectal cancer."}
{"STANDARD_NAME":"BILD_E2F3_ONCOGENIC_SIGNATURE","SYSTEMATIC_NAME":"M13061","ORGANISM":"Homo sapiens","PMID":"16273092","AUTHORS":"Bild AH,Yao G,Chang JT,Wang Q,Potti A,Chasse D,Joshi MB,Harpole D,Lancaster JM,Berchuck A,Olson JA Jr,Marks JR,Dressman HK,West M,Nevins JR","GEOID":"GSE3151","EXACT_SOURCE":"Table 1S: E2F3","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes selected in supervised analyses to discriminate cells expressing E2F3 [GeneID=1871] from control cells expressing GFP.","DESCRIPTION_FULL":"The development of an oncogenic state is a complex process involving the accumulation of multiple independent mutations that lead to deregulation of cell signalling pathways central to the control of cell growth and cell fate. The ability to define cancer subtypes, recurrence of disease and response to specific therapies using DNA microarray-based gene expression signatures has been demonstrated in multiple studies. Various studies have also demonstrated the potential for using gene expression profiles for the analysis of oncogenic pathways. Here we show that gene expression signatures can be identified that reflect the activation status of several oncogenic pathways. When evaluated in several large collections of human cancers, these gene expression signatures identify patterns of pathway deregulation in tumours and clinically relevant associations with disease outcomes. Combining signature-based predictions across several pathways identifies coordinated patterns of pathway deregulation that distinguish between specific cancers and tumour subtypes. Clustering tumours based on pathway signatures further defines prognosis in respective patient subsets, demonstrating that patterns of oncogenic pathway deregulation underlie the development of the oncogenic phenotype and reflect the biology and outcome of specific cancers. Predictions of pathway deregulation in cancer cell lines are also shown to predict the sensitivity to therapeutic agents that target components of the pathway. Linking pathway deregulation with sensitivity to therapeutics that target components of the pathway provides an opportunity to make use of these oncogenic pathway signatures to guide the use of targeted therapeutics."}
{"STANDARD_NAME":"BILD_SRC_ONCOGENIC_SIGNATURE","SYSTEMATIC_NAME":"M116","ORGANISM":"Homo sapiens","PMID":"16273092","AUTHORS":"Bild AH,Yao G,Chang JT,Wang Q,Potti A,Chasse D,Joshi MB,Harpole D,Lancaster JM,Berchuck A,Olson JA Jr,Marks JR,Dressman HK,West M,Nevins JR","GEOID":"GSE3151","EXACT_SOURCE":"Table 1S: Src","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes selected in supervised analyses to discriminate cells expressing c-Src (CSK) [GeneID=1445] from control cells expressing GFP.","DESCRIPTION_FULL":"The development of an oncogenic state is a complex process involving the accumulation of multiple independent mutations that lead to deregulation of cell signalling pathways central to the control of cell growth and cell fate. The ability to define cancer subtypes, recurrence of disease and response to specific therapies using DNA microarray-based gene expression signatures has been demonstrated in multiple studies. Various studies have also demonstrated the potential for using gene expression profiles for the analysis of oncogenic pathways. Here we show that gene expression signatures can be identified that reflect the activation status of several oncogenic pathways. When evaluated in several large collections of human cancers, these gene expression signatures identify patterns of pathway deregulation in tumours and clinically relevant associations with disease outcomes. Combining signature-based predictions across several pathways identifies coordinated patterns of pathway deregulation that distinguish between specific cancers and tumour subtypes. Clustering tumours based on pathway signatures further defines prognosis in respective patient subsets, demonstrating that patterns of oncogenic pathway deregulation underlie the development of the oncogenic phenotype and reflect the biology and outcome of specific cancers. Predictions of pathway deregulation in cancer cell lines are also shown to predict the sensitivity to therapeutic agents that target components of the pathway. Linking pathway deregulation with sensitivity to therapeutics that target components of the pathway provides an opportunity to make use of these oncogenic pathway signatures to guide the use of targeted therapeutics."}
{"STANDARD_NAME":"BILD_CTNNB1_ONCOGENIC_SIGNATURE","SYSTEMATIC_NAME":"M7102","ORGANISM":"Homo sapiens","PMID":"16273092","AUTHORS":"Bild AH,Yao G,Chang JT,Wang Q,Potti A,Chasse D,Joshi MB,Harpole D,Lancaster JM,Berchuck A,Olson JA Jr,Marks JR,Dressman HK,West M,Nevins JR","GEOID":"GSE3151","EXACT_SOURCE":"Table 1S: beta-catenin","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes selected in supervised analyses to discriminate cells expressing activated beta-catenin (CTNNB1) [GeneID=1499] oncogene from control cells expressing GFP.","DESCRIPTION_FULL":"The development of an oncogenic state is a complex process involving the accumulation of multiple independent mutations that lead to deregulation of cell signalling pathways central to the control of cell growth and cell fate. The ability to define cancer subtypes, recurrence of disease and response to specific therapies using DNA microarray-based gene expression signatures has been demonstrated in multiple studies. Various studies have also demonstrated the potential for using gene expression profiles for the analysis of oncogenic pathways. Here we show that gene expression signatures can be identified that reflect the activation status of several oncogenic pathways. When evaluated in several large collections of human cancers, these gene expression signatures identify patterns of pathway deregulation in tumours and clinically relevant associations with disease outcomes. Combining signature-based predictions across several pathways identifies coordinated patterns of pathway deregulation that distinguish between specific cancers and tumour subtypes. Clustering tumours based on pathway signatures further defines prognosis in respective patient subsets, demonstrating that patterns of oncogenic pathway deregulation underlie the development of the oncogenic phenotype and reflect the biology and outcome of specific cancers. Predictions of pathway deregulation in cancer cell lines are also shown to predict the sensitivity to therapeutic agents that target components of the pathway. Linking pathway deregulation with sensitivity to therapeutics that target components of the pathway provides an opportunity to make use of these oncogenic pathway signatures to guide the use of targeted therapeutics."}
{"STANDARD_NAME":"DOUGLAS_BMI1_TARGETS_DN","SYSTEMATIC_NAME":"M14279","ORGANISM":"Homo sapiens","PMID":"18701473","AUTHORS":"Douglas D,Hsu JH,Hung L,Cooper A,Abdueva D,van Doorninck J,Peng G,Shimada H,Triche TJ,Lawlor ER","GEOID":"GSE12064","EXACT_SOURCE":"Table 1AS: Direction = Down","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in A4573 cells (Ewing's sarcoma, ESFT) after knockdown of BMI1 [GeneID=648] by RNAi.","DESCRIPTION_FULL":"Deregulation of the polycomb group gene BMI-1 is implicated in the pathogenesis of many human cancers. In this study, we have investigated if the Ewing sarcoma family of tumors (ESFT) expresses BMI-1 and whether it functions as an oncogene in this highly aggressive group of bone and soft tissue tumors. Our data show that BMI-1 is highly expressed by ESFT cells and that, although it does not significantly affect proliferation or survival, BMI-1 actively promotes anchorage-independent growth in vitro and tumorigenicity in vivo. Moreover, we find that BMI-1 promotes the tumorigenicity of both p16 wild-type and p16-null cell lines, demonstrating that the mechanism of BMI-1 oncogenic function in ESFT is, at least in part, independent of CDKN2A repression. Expression profiling studies of ESFT cells following BMI-1 knockdown reveal that BMI-1 regulates the expression of hundreds of downstream target genes including, in particular, genes involved in both differentiation and development as well as cell-cell and cell-matrix adhesion. Gain and loss of function assays confirm that BMI-1 represses the expression of the adhesion-associated basement membrane protein nidogen 1. In addition, although BMI-1 promotes ESFT adhesion, nidogen 1 inhibits cellular adhesion in vitro. Together, these data support a pivotal role for BMI-1 ESFT pathogenesis and suggest that its oncogenic function in these tumors is in part mediated through modulation of adhesion pathways."}
{"STANDARD_NAME":"KRIGE_AMINO_ACID_DEPRIVATION","SYSTEMATIC_NAME":"M19341","ORGANISM":"Homo sapiens","PMID":"18701491","AUTHORS":"Krige D,Needham LA,Bawden LJ,Flores N,Farmer H,Miles LE,Stone E,Callaghan J,Chandler S,Clark VL,Kirwin-Jones P,Legris V,Owen J,Patel T,Wood S,Box G,Laber D,Odedra R,Wright A,Wood LM,Eccles SA,Bone EA,Ayscough A,Drummond AH","EXACT_SOURCE":"Table 2","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"The 'amino acid deprivation response' (AADR): genes up-regulated in HL-60 cells (acute promyelocytic leukemia, APL) after amino acid deprivation or treatment with the aminopeptidase inhibitor tosedostat (CHR-2797) [PubChem=15547703].","DESCRIPTION_FULL":"CHR-2797 is a novel metalloenzyme inhibitor that is converted into a pharmacologically active acid product (CHR-79888) inside cells. CHR-79888 is a potent inhibitor of a number of intracellular aminopeptidases, including leucine aminopeptidase. CHR-2797 exerts antiproliferative effects against a range of tumor cell lines in vitro and in vivo and shows selectivity for transformed over nontransformed cells. Its antiproliferative effects are at least 300 times more potent than the prototypical aminopeptidase inhibitor, bestatin. However, the mechanism by which inhibition of these enzymes leads to proliferative changes is not understood. Gene expression microarrays were used to profile changes in mRNA expression levels in the human promyelocytic leukemia cell line HL-60 treated with CHR-2797. This analysis showed that CHR-2797 treatment induced a transcriptional response indicative of amino acid depletion, the amino acid deprivation response, which involves up-regulation of amino acid synthetic genes, transporters, and tRNA synthetases. These changes were confirmed in other leukemic cell lines sensitive to the antiproliferative effects of CHR-2797. Furthermore, CHR-2797 treatment inhibited phosphorylation of mTOR substrates and reduced protein synthesis in HL-60 cells, both also indicative of amino acid depletion. Treatment with CHR-2797 led to an increase in the concentration of intracellular small peptides, the substrates of aminopeptidases. It is suggested that aminopeptidase inhibitors, such as CHR-2797 and bestatin, deplete sensitive tumor cells of amino acids by blocking protein recycling, and this generates an antiproliferative effect. CHR-2797 is orally bioavailable and currently undergoing phase II clinical investigation in the treatment of myeloid leukemia."}
{"STANDARD_NAME":"GHO_ATF5_TARGETS_UP","SYSTEMATIC_NAME":"M12008","ORGANISM":"Homo sapiens","PMID":"18701499","AUTHORS":"Gho JW,Ip WK,Chan KY,Law PT,Lai PB,Wong N","EXACT_SOURCE":"Fig 4A: red in ATF5","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in HEP3B cells (liver cancer) overexpressing ATF5 [GeneID=22809] off a plasmid vector.","DESCRIPTION_FULL":"Transcription factors represent an important class of genes that play key roles in controlling cellular proliferation, cell cycle modulation, and attractive targets for cancer therapy. Here, we report on the novel finding of common ATF5 down-regulations in hepatocellular carcinoma (HCC), a highly malignant tumor with a dismal clinical course. Array-based mapping in HCC highlighted a high and consistent incidence of transcription factor ATF5 repressions on regional chr.19q13. By quantitative reverse transcription-PCR, profound down-regulations of ATF5 were further suggested in 78% of HCC tumors (60 of 77 cases) compared to their adjacent nontumoral liver (P = 0.0004). Restoration of ATF5 expression in 3 nonexpressing HCC cell lines demonstrated a consistent growth inhibitory effect (P < 0.029) but minimal induction on cellular apoptosis. Subsequent flow cytometric investigations revealed a G(2)-M cell cycle arrest in HCC cells that were ectopically transfected with ATF5 (P < 0.002). The differential expressed genes from the functional effects of ATF5 were examined by array profiling. Over a hundred genes were identified, among which ID1 contains the ATF/CREB target binding sequences within its promoter region. An inverse relationship between ATF5 expressions with ID1 transcriptions was verified in HCC (P = 0.019), and a direct interaction of ATF5 on the promoter of ID1 was further demonstrated from electromobility shift assay. Examination of causal events underlying the silencing of ATF5 in HCC suggested copy number losses, promoter hypermethylation, histone deacetylation, and DNA mutations to be the likely inactivating mechanisms. In conclusion, our finding supports a tumor suppressive role for ATF5 in HCC, and highlighted ID1 as a potential downstream target."}
{"STANDARD_NAME":"GHO_ATF5_TARGETS_DN","SYSTEMATIC_NAME":"M11457","ORGANISM":"Homo sapiens","PMID":"18701499","AUTHORS":"Gho JW,Ip WK,Chan KY,Law PT,Lai PB,Wong N","EXACT_SOURCE":"Fig 4A: green in ATF5","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in HEP3B cells (liver cancer) overexpressing ATF5 [GeneID=22809] off a plasmid vector.","DESCRIPTION_FULL":"Transcription factors represent an important class of genes that play key roles in controlling cellular proliferation, cell cycle modulation, and attractive targets for cancer therapy. Here, we report on the novel finding of common ATF5 down-regulations in hepatocellular carcinoma (HCC), a highly malignant tumor with a dismal clinical course. Array-based mapping in HCC highlighted a high and consistent incidence of transcription factor ATF5 repressions on regional chr.19q13. By quantitative reverse transcription-PCR, profound down-regulations of ATF5 were further suggested in 78% of HCC tumors (60 of 77 cases) compared to their adjacent nontumoral liver (P = 0.0004). Restoration of ATF5 expression in 3 nonexpressing HCC cell lines demonstrated a consistent growth inhibitory effect (P < 0.029) but minimal induction on cellular apoptosis. Subsequent flow cytometric investigations revealed a G(2)-M cell cycle arrest in HCC cells that were ectopically transfected with ATF5 (P < 0.002). The differential expressed genes from the functional effects of ATF5 were examined by array profiling. Over a hundred genes were identified, among which ID1 contains the ATF/CREB target binding sequences within its promoter region. An inverse relationship between ATF5 expressions with ID1 transcriptions was verified in HCC (P = 0.019), and a direct interaction of ATF5 on the promoter of ID1 was further demonstrated from electromobility shift assay. Examination of causal events underlying the silencing of ATF5 in HCC suggested copy number losses, promoter hypermethylation, histone deacetylation, and DNA mutations to be the likely inactivating mechanisms. In conclusion, our finding supports a tumor suppressive role for ATF5 in HCC, and highlighted ID1 as a potential downstream target."}
{"STANDARD_NAME":"DURCHDEWALD_SKIN_CARCINOGENESIS_UP","SYSTEMATIC_NAME":"M1683","ORGANISM":"Mus musculus","PMID":"18757399","AUTHORS":"Durchdewald M,Guinea-Viniegra J,Haag D,Riehl A,Lichter P,Hahn M,Wagner EF,Angel P,Hess J","GEOID":"GSE10218","EXACT_SOURCE":"Table 1S","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated upon skin specific knockout of FOS [GeneID=2353] by cre-lox in the K5-SOS-F mice (express a constitutively active form of SOS1 [GeneID=6654] in the skin).","DESCRIPTION_FULL":"Expression and function of the oncogenic transcription factor activator protein (AP-1; mainly composed of Jun and Fos proteins) is required for neoplastic transformation of keratinocytes in vitro and tumor promotion as well as malignant progression in vivo. Here, we describe the identification of 372 differentially expressed genes comparing skin tumor samples of K5-SOS-F transgenic mice (Fos(f/f) SOS(+)) with samples derived from animals with a specific deletion of c-Fos in keratinocytes (Fos(Deltaep) SOS(+)). Fos-dependent transcription of selected genes was confirmed by quantitative real-time PCR analysis using tumor samples and mouse back skin treated with the tumor promoter 12-O-tetradecanoylphorbol-13-acetate (TPA). One of the most differentially expressed genes encodes the small mucin-like glycoprotein Podoplanin (Pdpn), whose expression correlates with malignant progression in mouse tumor model systems and human cancer. We found Pdpn and Fos expression in chemically induced mouse skin tumors, and detailed analysis of the Pdpn gene promoter revealed impaired activity in Fos-deficient mouse embryonic fibroblasts, which could be restored by ectopic Fos expression. Direct Fos protein binding to the Pdpn promoter was shown by chromatin immunoprecipitation and a TPA-induced complex at a TPA-responsive element-like motif in the proximal promoter was identified by electrophoretic mobility shift assays. In summary, we could define a Fos-dependent genetic program in a well-established model of skin tumors. Systematic analysis of these novel target genes will guide us in elucidating the molecular mechanisms of AP-1-regulated pathways that are critically implicated in neoplastic transformation and/or malignant progression."}
{"STANDARD_NAME":"LI_CYTIDINE_ANALOGS_CYCTOTOXICITY","SYSTEMATIC_NAME":"M19805","ORGANISM":"Homo sapiens","PMID":"18757419","AUTHORS":"Li L,Fridley B,Kalari K,Jenkins G,Batzler A,Safgren S,Hildebrandt M,Ames M,Schaid D,Wang L","EXACT_SOURCE":"Table 1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes whose expression in a panel of lymphoblastoid cell lines was associated with cytotoxicity of the anti-cancer analogs of cytidine, gemcitabine and cytarabine [PubChem=596;3461;6253].","DESCRIPTION_FULL":"Two cytidine analogues, gemcitabine (dFdC) and 1-beta-d-arabinofuranosylcytosine (AraC), show significant therapeutic effect in a variety of cancers. However, response to these drugs varies widely. Evidence from tumor biopsy samples shows that expression levels for genes involved in the cytidine transport, metabolism, and bioactivation pathway contribute to this variation in response. In the present study, we set out to test the hypothesis that variation in gene expression both within and outside of this pathway might influence sensitivity to gemcitabine and AraC. Specifically, Affymetrix U133 Plus 2.0 GeneChip and cytotoxicity assays were performed to obtain basal mRNA expression and IC(50) values for both drugs in 197 ethnically defined Human Variation Panel lymphoblastoid cell lines. Genes with a high degree of association with IC(50) values were involved mainly in cell death, cancer, cell cycle, and nucleic acid metabolism pathways. We validated selected significant genes by performing real-time quantitative reverse transcription-PCR and selected two representative candidates, NT5C3 (within the pathway) and FKBP5 (outside of the pathway), for functional validation. Those studies showed that down-regulation of NT5C3 and FKBP5 altered tumor cell sensitivity to both drugs. Our results suggest that cell-based model system studies, when combined with complementary functional characterization, may help to identify biomarkers for response to chemotherapy with these cytidine analogues."}
{"STANDARD_NAME":"LI_CYTIDINE_ANALOG_PATHWAY","SYSTEMATIC_NAME":"M19946","ORGANISM":"Homo sapiens","PMID":"18757419","AUTHORS":"Li L,Fridley B,Kalari K,Jenkins G,Batzler A,Safgren S,Hildebrandt M,Ames M,Schaid D,Wang L","EXACT_SOURCE":"Table 1S","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"The 'cytidine analog pathway': genes involved in transport and metabolism of the anti-cancer analogs of cytidine: gemcitabine and cytarabine [PubChem=596;3461;6253].","DESCRIPTION_FULL":"Two cytidine analogues, gemcitabine (dFdC) and 1-beta-d-arabinofuranosylcytosine (AraC), show significant therapeutic effect in a variety of cancers. However, response to these drugs varies widely. Evidence from tumor biopsy samples shows that expression levels for genes involved in the cytidine transport, metabolism, and bioactivation pathway contribute to this variation in response. In the present study, we set out to test the hypothesis that variation in gene expression both within and outside of this pathway might influence sensitivity to gemcitabine and AraC. Specifically, Affymetrix U133 Plus 2.0 GeneChip and cytotoxicity assays were performed to obtain basal mRNA expression and IC(50) values for both drugs in 197 ethnically defined Human Variation Panel lymphoblastoid cell lines. Genes with a high degree of association with IC(50) values were involved mainly in cell death, cancer, cell cycle, and nucleic acid metabolism pathways. We validated selected significant genes by performing real-time quantitative reverse transcription-PCR and selected two representative candidates, NT5C3 (within the pathway) and FKBP5 (outside of the pathway), for functional validation. Those studies showed that down-regulation of NT5C3 and FKBP5 altered tumor cell sensitivity to both drugs. Our results suggest that cell-based model system studies, when combined with complementary functional characterization, may help to identify biomarkers for response to chemotherapy with these cytidine analogues."}
{"STANDARD_NAME":"CLASPER_LYMPHATIC_VESSELS_DURING_METASTASIS_UP","SYSTEMATIC_NAME":"M11701","ORGANISM":"Mus musculus","PMID":"18794116","AUTHORS":"Clasper S,Royston D,Baban D,Cao Y,Ewers S,Butz S,Vestweber D,Jackson DG","GEOID":"GSE6255","EXACT_SOURCE":"Table 1: fold change > 0","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Selected genes up-regulated during invasion of lymphatic vessels during metastasis.","DESCRIPTION_FULL":"Invasion of lymphatic vessels is a key step in the metastasis of primary tumors to draining lymph nodes. Although the process is enhanced by tumor lymphangiogenesis, it is unclear whether this is a consequence of increased lymphatic vessel number, altered lymphatic vessel properties, or both. Here we have addressed the question by comparing the RNA profiles of primary lymphatic endothelial cells (LEC) isolated from the vasculature of normal tissue and from highly metastatic T-241/vascular endothelial growth factor (VEGF)-C fibrosarcomas implanted in C57BL/6 mice. Our findings reveal significant differences in expression of some 792 genes (i.e., >or=2-fold up- or down-regulated, P 0","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in A549GARS cells (lung cancer) resistant to the geldanamycin and 17-AAG [PubChem=5476289;6440175].","DESCRIPTION_FULL":"Despite studies that show the antitumor activity of Hsp90 inhibitors, such as geldanamycin (GA) and its derivative 17-allylamino-demethoxygeldanamycin (17-AAG), recent reports indicate that these inhibitors lack significant single-agent clinical activity. Resistance to Hsp90 inhibitors has been previously linked to expression of P-glycoprotein (P-gp) and the multidrug resistant (MDR) phenotype. However, the stress response induced by GA treatment can also cause resistance to Hsp90-targeted therapy. Therefore, we chose to further investigate the relative importance of P-gp and the stress response in 17-AAG resistance. Colony-forming assays revealed that high expression of P-gp could increase the 17-AAG IC(50) 6-fold in cells transfected with P-gp compared with parent cells. A549 cells selected for resistance to GA overexpressed P-gp, but verapamil did not reverse the resistance. These cells also overexpressed Hsp27, and Hsp70 was induced with 17-AAG treatment. When the GA and 17-AAG resistant cells were transfected with Hsp27 and/or Hsp70 small interfering RNA (siRNA), the 17-AAG IC(50) decreased 10-fold compared with control transfected cells. Transfection with siRNA directed against Hsp27, Hsp70, or Hsp27 and Hsp70 also increased sensitivity to EC78, a purine scaffold-based Hsp90 inhibitor that is not a P-gp substrate. We conclude that P-gp may contribute, in part, to resistance to 17-AAG, but induction of stress response proteins, such as Hsp27 and Hsp70, by Hsp90-targeted therapy plays a larger role. Taken together, our results indicate that targeting of Hsp27 and Hsp70 should be exploited to increase the clinical efficacy of Hsp90-directed therapy."}
{"STANDARD_NAME":"MCCOLLUM_GELDANAMYCIN_RESISTANCE_DN","SYSTEMATIC_NAME":"M14386","ORGANISM":"Homo sapiens","PMID":"18794130","AUTHORS":"McCollum AK,TenEyck CJ,Stensgard B,Morlan BW,Ballman KV,Jenkins RB,Toft DO,Erlichman C","EXACT_SOURCE":"Table 1S: Mean Difference (log2) < 0","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in A549GARS cells (lung cancer) resistant to the geldanamycin and 17-AAG [PubChem=5476289;6440175].","DESCRIPTION_FULL":"Despite studies that show the antitumor activity of Hsp90 inhibitors, such as geldanamycin (GA) and its derivative 17-allylamino-demethoxygeldanamycin (17-AAG), recent reports indicate that these inhibitors lack significant single-agent clinical activity. Resistance to Hsp90 inhibitors has been previously linked to expression of P-glycoprotein (P-gp) and the multidrug resistant (MDR) phenotype. However, the stress response induced by GA treatment can also cause resistance to Hsp90-targeted therapy. Therefore, we chose to further investigate the relative importance of P-gp and the stress response in 17-AAG resistance. Colony-forming assays revealed that high expression of P-gp could increase the 17-AAG IC(50) 6-fold in cells transfected with P-gp compared with parent cells. A549 cells selected for resistance to GA overexpressed P-gp, but verapamil did not reverse the resistance. These cells also overexpressed Hsp27, and Hsp70 was induced with 17-AAG treatment. When the GA and 17-AAG resistant cells were transfected with Hsp27 and/or Hsp70 small interfering RNA (siRNA), the 17-AAG IC(50) decreased 10-fold compared with control transfected cells. Transfection with siRNA directed against Hsp27, Hsp70, or Hsp27 and Hsp70 also increased sensitivity to EC78, a purine scaffold-based Hsp90 inhibitor that is not a P-gp substrate. We conclude that P-gp may contribute, in part, to resistance to 17-AAG, but induction of stress response proteins, such as Hsp27 and Hsp70, by Hsp90-targeted therapy plays a larger role. Taken together, our results indicate that targeting of Hsp27 and Hsp70 should be exploited to increase the clinical efficacy of Hsp90-directed therapy."}
{"STANDARD_NAME":"MILICIC_FAMILIAL_ADENOMATOUS_POLYPOSIS_UP","SYSTEMATIC_NAME":"M9371","ORGANISM":"Homo sapiens","PMID":"18829530","AUTHORS":"Milicic A,Harrison LA,Goodlad RA,Hardy RG,Nicholson AM,Presz M,Sieber O,Santander S,Pringle JH,Mandir N,East P,Obszynska J,Sanders S,Piazuelo E,Shaw J,Harrison R,Tomlinson IP,McDonald SA,Wright NA,Jankowski JA","GEOID":"GSE12215","EXACT_SOURCE":"Table 1: Log2 ratio > 0","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top genes up-regulated in colon epithelium biopsies from FAP (familial adenomatous polyposis) patients with mutated APC [GeneID=324].","DESCRIPTION_FULL":"P-cadherin is normally expressed in the basal layer of squamous epithelia and absent from the healthy intestine and colon. We have previously shown it to be expressed in all inflamed, hyperplastic, and dysplastic intestinal and colonic mucosa. This study aimed to better understand the mechanisms controlling the expression of P-cadherin and the biological effects of its ectopic presence in the intestine and colon. We investigated the CpG methylation status of the P-cadherin (CDH3) promoter and P-cadherin mRNA and protein expression in cases of familial and sporadic colorectal cancer (CRC). The CDH3 promoter was hypomethylated in colonic aberrant crypt foci, in CRC, and, occasionally, in the normal epithelium adjacent to cancer, demonstrating a potential field effect of cancerization. The hypomethylation was also associated with induction of P-cadherin expression in the neoplastic colon (P < 0.0001). We then created transgenic mice that overexpressed P-cadherin specifically in the intestinal and colonic epithelium under the liver fatty acid binding protein promoter. Forced ectopic expression of P-cadherin accompanied by indomethacin-induced inflammation resulted in a 3-fold higher crypt fission rate within the small and large intestines in the homozygous mice compared with the wild-type animals (P < 0.02). We conclude that epigenetic demethylation of the P-cadherin promoter in the human intestine permits its ectopic expression very early in the colorectal adenoma-carcinoma sequence and persists during invasive cancer. Induced P-cadherin expression, especially in mucosal damage, leads to an increased rate of crypt fission, a common feature of clonal expansion in gastrointestinal dysplasia."}
{"STANDARD_NAME":"MILICIC_FAMILIAL_ADENOMATOUS_POLYPOSIS_DN","SYSTEMATIC_NAME":"M6706","ORGANISM":"Homo sapiens","PMID":"18829530","AUTHORS":"Milicic A,Harrison LA,Goodlad RA,Hardy RG,Nicholson AM,Presz M,Sieber O,Santander S,Pringle JH,Mandir N,East P,Obszynska J,Sanders S,Piazuelo E,Shaw J,Harrison R,Tomlinson IP,McDonald SA,Wright NA,Jankowski JA","GEOID":"GSE12215","EXACT_SOURCE":"Table 1: Log2 ratio < 0","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top genes down-regulated in colon epithelium biopsies from FAP (familial adenomatous polyposis) patients with mutated APC [GeneID=324].","DESCRIPTION_FULL":"P-cadherin is normally expressed in the basal layer of squamous epithelia and absent from the healthy intestine and colon. We have previously shown it to be expressed in all inflamed, hyperplastic, and dysplastic intestinal and colonic mucosa. This study aimed to better understand the mechanisms controlling the expression of P-cadherin and the biological effects of its ectopic presence in the intestine and colon. We investigated the CpG methylation status of the P-cadherin (CDH3) promoter and P-cadherin mRNA and protein expression in cases of familial and sporadic colorectal cancer (CRC). The CDH3 promoter was hypomethylated in colonic aberrant crypt foci, in CRC, and, occasionally, in the normal epithelium adjacent to cancer, demonstrating a potential field effect of cancerization. The hypomethylation was also associated with induction of P-cadherin expression in the neoplastic colon (P < 0.0001). We then created transgenic mice that overexpressed P-cadherin specifically in the intestinal and colonic epithelium under the liver fatty acid binding protein promoter. Forced ectopic expression of P-cadherin accompanied by indomethacin-induced inflammation resulted in a 3-fold higher crypt fission rate within the small and large intestines in the homozygous mice compared with the wild-type animals (P < 0.02). We conclude that epigenetic demethylation of the P-cadherin promoter in the human intestine permits its ectopic expression very early in the colorectal adenoma-carcinoma sequence and persists during invasive cancer. Induced P-cadherin expression, especially in mucosal damage, leads to an increased rate of crypt fission, a common feature of clonal expansion in gastrointestinal dysplasia."}
{"STANDARD_NAME":"LOPES_METHYLATED_IN_COLON_CANCER_UP","SYSTEMATIC_NAME":"M7371","ORGANISM":"Homo sapiens","PMID":"18794111","AUTHORS":"Lopes EC,Valls E,Figueroa ME,Mazur A,Meng FG,Chiosis G,Laird PW,Schreiber-Agus N,Greally JM,Prokhortchouk E,Melnick A","EXACT_SOURCE":"Fig 2S: red or yellow in H and C","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes methylated aberrantly in HCT116 and Colo320 (colon cancer) cells.","DESCRIPTION_FULL":"Aberrant CpG methylation of tumor suppressor gene regulatory elements is associated with transcriptional silencing and contributes to malignant transformation of different tissues. It is presumed that methylated DNA sequences recruit repressor machinery to actively shutdown gene expression. The Kaiso protein is a transcriptional repressor expressed in human and murine colorectal tumors that can bind to methylated clusters of CpG dinucleotides. We show here that Kaiso represses methylated tumor suppressor genes and can bind in a methylation-dependent manner to the CDKN2A in human colon cancer cell lines. The contribution of Kaiso to epigenetic silencing was underlined by the fact that Kaiso depletion induced tumor suppressor gene expression without affecting DNA methylation levels. As a consequence, colon cancer cells became susceptible to cell cycle arrest and cell death mediated by chemotherapy. The data suggest that Kaiso is a methylation-dependent opportunistic oncogene that silences tumor suppressor genes when they become hypermethylated. Because Kaiso inactivation sensitized colon cancer cell lines to chemotherapy, it is possible that therapeutic targeting of Kaiso could improve the efficacy of current treatment regimens."}
{"STANDARD_NAME":"LOPES_METHYLATED_IN_COLON_CANCER_DN","SYSTEMATIC_NAME":"M12717","ORGANISM":"Homo sapiens","PMID":"18794111","AUTHORS":"Lopes EC,Valls E,Figueroa ME,Mazur A,Meng FG,Chiosis G,Laird PW,Schreiber-Agus N,Greally JM,Prokhortchouk E,Melnick A","EXACT_SOURCE":"Fig 2S: green or blue in H and C","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes un-methylated aberrantly in HCT116 and Colo320 (colon cancer) cells.","DESCRIPTION_FULL":"Aberrant CpG methylation of tumor suppressor gene regulatory elements is associated with transcriptional silencing and contributes to malignant transformation of different tissues. It is presumed that methylated DNA sequences recruit repressor machinery to actively shutdown gene expression. The Kaiso protein is a transcriptional repressor expressed in human and murine colorectal tumors that can bind to methylated clusters of CpG dinucleotides. We show here that Kaiso represses methylated tumor suppressor genes and can bind in a methylation-dependent manner to the CDKN2A in human colon cancer cell lines. The contribution of Kaiso to epigenetic silencing was underlined by the fact that Kaiso depletion induced tumor suppressor gene expression without affecting DNA methylation levels. As a consequence, colon cancer cells became susceptible to cell cycle arrest and cell death mediated by chemotherapy. The data suggest that Kaiso is a methylation-dependent opportunistic oncogene that silences tumor suppressor genes when they become hypermethylated. Because Kaiso inactivation sensitized colon cancer cell lines to chemotherapy, it is possible that therapeutic targeting of Kaiso could improve the efficacy of current treatment regimens."}
{"STANDARD_NAME":"TUOMISTO_TUMOR_SUPPRESSION_BY_COL13A1_UP","SYSTEMATIC_NAME":"M1695","ORGANISM":"Mus musculus","PMID":"19074901","AUTHORS":"Tuomisto A,Sund M,Tahkola J,Latvanlehto A,Savolainen ER,Autio-Harmainen H,Liakka A,Sormunen R,Vuoristo J,West A,Lahesmaa R,Morse HC 3rd,Pihlajaniemi T","EXACT_SOURCE":"Table 1","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in small intestine tissue from transgenic mice expressing a mutant form of COL13A1 [GeneID=1305], compared to normal controls.","DESCRIPTION_FULL":"Epithelial cells of mucosal surfaces are critical for maintaining immune homeostasis by aiding in the discrimination of pathogenic and commensal microorganisms and modulating the activities of antigen-presenting cells and lymphocytes. Functional breakdowns resulting in chronic infection and inflammation are associated with the development of hematologic and solid neoplasms for which detailed pathogenetic mechanisms are poorly understood. Mice heterozygous for a transgene Col13a1(del) expressing a mutant collagen XIII developed clonal mature B-cell lineage lymphomas originating in mesenteric lymph nodes (MLN). The tumors were associated with T cells and macrophages. The incidence of disease was reduced 2-fold in transgenic mice raised under specific pathogen-free conditions, suggesting a role for infectious agents. The lymphomas did not express the mutant collagen XIII, indicating that its influence on tumorigenesis was B-cell extrinsic and likely to be associated with collagen XIII-positive tissues drained by the MLN. Studies of the small intestines of transgenic mice showed that the subepithelial basement membranes (BM) were highly abnormal and that they exhibited heightened expression of genes involved in immune responses. These results define collagen XIII-dependent maintenance of the intestinal BM as a previously unappreciated component of immune responses and a critical determinant of cancer susceptibility."}
{"STANDARD_NAME":"TUOMISTO_TUMOR_SUPPRESSION_BY_COL13A1_DN","SYSTEMATIC_NAME":"M1697","ORGANISM":"Mus musculus","PMID":"19074901","AUTHORS":"Tuomisto A,Sund M,Tahkola J,Latvanlehto A,Savolainen ER,Autio-Harmainen H,Liakka A,Sormunen R,Vuoristo J,West A,Lahesmaa R,Morse HC 3rd,Pihlajaniemi T","EXACT_SOURCE":"Table 1","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in small intestine tissue from transgenic mice expressing a mutant form of COL13A1 [GeneID=1305], compared to normal controls.","DESCRIPTION_FULL":"Epithelial cells of mucosal surfaces are critical for maintaining immune homeostasis by aiding in the discrimination of pathogenic and commensal microorganisms and modulating the activities of antigen-presenting cells and lymphocytes. Functional breakdowns resulting in chronic infection and inflammation are associated with the development of hematologic and solid neoplasms for which detailed pathogenetic mechanisms are poorly understood. Mice heterozygous for a transgene Col13a1(del) expressing a mutant collagen XIII developed clonal mature B-cell lineage lymphomas originating in mesenteric lymph nodes (MLN). The tumors were associated with T cells and macrophages. The incidence of disease was reduced 2-fold in transgenic mice raised under specific pathogen-free conditions, suggesting a role for infectious agents. The lymphomas did not express the mutant collagen XIII, indicating that its influence on tumorigenesis was B-cell extrinsic and likely to be associated with collagen XIII-positive tissues drained by the MLN. Studies of the small intestines of transgenic mice showed that the subepithelial basement membranes (BM) were highly abnormal and that they exhibited heightened expression of genes involved in immune responses. These results define collagen XIII-dependent maintenance of the intestinal BM as a previously unappreciated component of immune responses and a critical determinant of cancer susceptibility."}
{"STANDARD_NAME":"BAFNA_MUC4_TARGETS_UP","SYSTEMATIC_NAME":"M1699","ORGANISM":"Mus musculus","PMID":"19010895","AUTHORS":"Bafna S,Singh AP,Moniaux N,Eudy JD,Meza JL,Batra SK","EXACT_SOURCE":"Table 1","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in NIH3T3 cells (fibroblast) engineered to stably express MUC4 [GeneID=4585].","DESCRIPTION_FULL":"Numerous studies have established the association of MUC4 with the progression of cancer and metastasis. An aberrant expression of MUC4 is reported in precancerous lesions, indicating its early involvement in the disease process; however, its precise role in cellular transformation has not been explored. MUC4 contains many unique domains and is proposed to affect cell signaling pathways and behavior of the tumor cells. In the present study, to decipher the oncogenic potential of MUC4, we stably expressed the MUC4 mucin in NIH3T3 mouse fibroblast cells. Stable ectopic expression of MUC4 resulted in increased growth, colony formation, and motility of NIH3T3 cells in vitro and tumor formation in nude mice when cells were injected s.c. Microarray analysis showed increased expression of several growth-associated and mitochondrial energy production-associated genes in MUC4-expressing NIH3T3 cells. In addition, expression of MUC4 in NIH3T3 cells resulted in enhanced levels of oncoprotein ErbB2 and its phosphorylated form (pY(1248)-ErbB2). In conclusion, our studies provide the first evidence that MUC4 alone induces cellular transformation and indicates a novel role of MUC4 in cancer biology."}
{"STANDARD_NAME":"HOWLIN_CITED1_TARGETS_1_UP","SYSTEMATIC_NAME":"M1701","ORGANISM":"Mus musculus","PMID":"16278680","AUTHORS":"Howlin J,McBryan J,Napoletano S,Lambe T,McArdle E,Shioda T,Martin F","EXACT_SOURCE":"Supplementary Data 3: Table 3","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in mammary glands from the CITED1 [GeneID=4435] knockout mice: homozygotic vs. heterozygotic animals.","DESCRIPTION_FULL":"Expression microarray analysis identified CITED1 among a group of genes specifically upregulated in the pubertal mouse mammary gland. At puberty, CITED1 localizes to the luminal epithelial cell population of the mammary ducts and the body cells of the terminal end buds. Generation of CITED1 gene knockout mice showed that homozygous null mutants exhibit retarded mammary ductal growth at puberty and, in addition, dilated ductal structures with a lack of spatial restriction of the subtending branches. Analysis of CITED1 homozygous null and heterozygous null mammary gland gene expression using microarrays suggested that the mammary-specific phenotype seen in the homozygous null females is due to a disturbance in the transcription of a number of key mediators of pubertal ductal morphogenesis. These include estrogen and TGFbeta responsive genes, such as the EGFR/ErbB2 ligand, amphiregulin, whose transcription we suggest is directly or indirectly regulated by CITED1."}
{"STANDARD_NAME":"HOWLIN_CITED1_TARGETS_1_DN","SYSTEMATIC_NAME":"M1703","ORGANISM":"Mus musculus","PMID":"16278680","AUTHORS":"Howlin J,McBryan J,Napoletano S,Lambe T,McArdle E,Shioda T,Martin F","EXACT_SOURCE":"Supplementary Data 3: Table 1","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in mammary glands from the CITED1 [GeneID=4435] knockout mice: homozygotic vs. heterozygotic animals.","DESCRIPTION_FULL":"Expression microarray analysis identified CITED1 among a group of genes specifically upregulated in the pubertal mouse mammary gland. At puberty, CITED1 localizes to the luminal epithelial cell population of the mammary ducts and the body cells of the terminal end buds. Generation of CITED1 gene knockout mice showed that homozygous null mutants exhibit retarded mammary ductal growth at puberty and, in addition, dilated ductal structures with a lack of spatial restriction of the subtending branches. Analysis of CITED1 homozygous null and heterozygous null mammary gland gene expression using microarrays suggested that the mammary-specific phenotype seen in the homozygous null females is due to a disturbance in the transcription of a number of key mediators of pubertal ductal morphogenesis. These include estrogen and TGFbeta responsive genes, such as the EGFR/ErbB2 ligand, amphiregulin, whose transcription we suggest is directly or indirectly regulated by CITED1."}
{"STANDARD_NAME":"HOWLIN_CITED1_TARGETS_2_UP","SYSTEMATIC_NAME":"M1704","ORGANISM":"Mus musculus","PMID":"16278680","AUTHORS":"Howlin J,McBryan J,Napoletano S,Lambe T,McArdle E,Shioda T,Martin F","EXACT_SOURCE":"Supplementary Data 3: Table 4","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in mammary glands from the CITED1 [GeneID=4435] knockout mice: homozygotic vs wild type (WT) animals.","DESCRIPTION_FULL":"Expression microarray analysis identified CITED1 among a group of genes specifically upregulated in the pubertal mouse mammary gland. At puberty, CITED1 localizes to the luminal epithelial cell population of the mammary ducts and the body cells of the terminal end buds. Generation of CITED1 gene knockout mice showed that homozygous null mutants exhibit retarded mammary ductal growth at puberty and, in addition, dilated ductal structures with a lack of spatial restriction of the subtending branches. Analysis of CITED1 homozygous null and heterozygous null mammary gland gene expression using microarrays suggested that the mammary-specific phenotype seen in the homozygous null females is due to a disturbance in the transcription of a number of key mediators of pubertal ductal morphogenesis. These include estrogen and TGFbeta responsive genes, such as the EGFR/ErbB2 ligand, amphiregulin, whose transcription we suggest is directly or indirectly regulated by CITED1."}
{"STANDARD_NAME":"HOWLIN_CITED1_TARGETS_2_DN","SYSTEMATIC_NAME":"M1708","ORGANISM":"Mus musculus","PMID":"16278680","AUTHORS":"Howlin J,McBryan J,Napoletano S,Lambe T,McArdle E,Shioda T,Martin F","EXACT_SOURCE":"Supplementary Data 3: Table 2","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in mammary glands from the CITED1 [GeneID=4435] knockout mice: homozygotic vs wild type (WT) animals.","DESCRIPTION_FULL":"Expression microarray analysis identified CITED1 among a group of genes specifically upregulated in the pubertal mouse mammary gland. At puberty, CITED1 localizes to the luminal epithelial cell population of the mammary ducts and the body cells of the terminal end buds. Generation of CITED1 gene knockout mice showed that homozygous null mutants exhibit retarded mammary ductal growth at puberty and, in addition, dilated ductal structures with a lack of spatial restriction of the subtending branches. Analysis of CITED1 homozygous null and heterozygous null mammary gland gene expression using microarrays suggested that the mammary-specific phenotype seen in the homozygous null females is due to a disturbance in the transcription of a number of key mediators of pubertal ductal morphogenesis. These include estrogen and TGFbeta responsive genes, such as the EGFR/ErbB2 ligand, amphiregulin, whose transcription we suggest is directly or indirectly regulated by CITED1."}
{"STANDARD_NAME":"LEIN_NEURON_MARKERS","SYSTEMATIC_NAME":"M1712","ORGANISM":"Mus musculus","PMID":"17151600","AUTHORS":"Lein ES,Hawrylycz MJ,Ao N,Ayres M,Bensinger A,Bernard A,Boe AF,Boguski MS,Brockway KS,Byrnes EJ,Chen L,Chen TM,Chin MC,Chong J,Crook BE,Czaplinska A,Dang CN,Datta S,Dee NR,Desaki AL,Desta T,Diep E,Dolbeare TA,Donelan MJ,Dong HW,Dougherty JG,Duncan BJ,Ebbert AJ,Eichele G,Estin LK,Faber C,Facer BA,Fields R,Fischer SR,Fliss TP,Frensley C,Gates SN,Glattfelder KJ,Halverson KR,Hart MR,Hohmann JG,Howell MP,Jeung DP,Johnson RA,Karr PT,Kawal R,Kidney JM,Knapik RH,Kuan CL,Lake JH,Laramee AR,Larsen KD,Lau C,Lemon TA,Liang AJ,Liu Y,Luong LT,Michaels J,Morgan JJ,Morgan RJ,Mortrud MT,Mosqueda NF,Ng LL,Ng R,Orta GJ,Overly CC,Pak TH,Parry SE,Pathak SD,Pearson OC,Puchalski RB,Riley ZL,Rockett HR,Rowland SA,Royall JJ,Ruiz MJ,Sarno NR,Schaffnit K,Shapovalova NV,Sivisay T,Slaughterbeck CR,Smith SC,Smith KA,Smith BI,Sodt AJ,Stewart NN,Stumpf KR,Sunkin SM,Sutram M,Tam A,Teemer CD,Thaller C,Thompson CL,Varnam LR,Visel A,Whitlock RM,Wohnoutka PE,Wolkey CK,Wong VY,Wood M,Yaylaoglu MB,Young RC,Youngstrom BL,Yuan XF,Zhang B,Zwingman TA,Jones AR","EXACT_SOURCE":"Table 1S: neuron-enriched","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes enriched in neurons in the adult mouse brain identified through correlation-based searches seeded with neuron cell-type specific gene expression patterns.","DESCRIPTION_FULL":"Molecular approaches to understanding the functional circuitry of the nervous system promise new insights into the relationship between genes, brain and behaviour. The cellular diversity of the brain necessitates a cellular resolution approach towards understanding the functional genomics of the nervous system. We describe here an anatomically comprehensive digital atlas containing the expression patterns of approximately 20,000 genes in the adult mouse brain. Data were generated using automated high-throughput procedures for in situ hybridization and data acquisition, and are publicly accessible online. Newly developed image-based informatics tools allow global genome-scale structural analysis and cross-correlation, as well as identification of regionally enriched genes. Unbiased fine-resolution analysis has identified highly specific cellular markers as well as extensive evidence of cellular heterogeneity not evident in classical neuroanatomical atlases. This highly standardized atlas provides an open, primary data resource for a wide variety of further studies concerning brain organization and function."}
{"STANDARD_NAME":"LEIN_ASTROCYTE_MARKERS","SYSTEMATIC_NAME":"M1713","ORGANISM":"Mus musculus","PMID":"17151600","AUTHORS":"Lein ES,Hawrylycz MJ,Ao N,Ayres M,Bensinger A,Bernard A,Boe AF,Boguski MS,Brockway KS,Byrnes EJ,Chen L,Chen TM,Chin MC,Chong J,Crook BE,Czaplinska A,Dang CN,Datta S,Dee NR,Desaki AL,Desta T,Diep E,Dolbeare TA,Donelan MJ,Dong HW,Dougherty JG,Duncan BJ,Ebbert AJ,Eichele G,Estin LK,Faber C,Facer BA,Fields R,Fischer SR,Fliss TP,Frensley C,Gates SN,Glattfelder KJ,Halverson KR,Hart MR,Hohmann JG,Howell MP,Jeung DP,Johnson RA,Karr PT,Kawal R,Kidney JM,Knapik RH,Kuan CL,Lake JH,Laramee AR,Larsen KD,Lau C,Lemon TA,Liang AJ,Liu Y,Luong LT,Michaels J,Morgan JJ,Morgan RJ,Mortrud MT,Mosqueda NF,Ng LL,Ng R,Orta GJ,Overly CC,Pak TH,Parry SE,Pathak SD,Pearson OC,Puchalski RB,Riley ZL,Rockett HR,Rowland SA,Royall JJ,Ruiz MJ,Sarno NR,Schaffnit K,Shapovalova NV,Sivisay T,Slaughterbeck CR,Smith SC,Smith KA,Smith BI,Sodt AJ,Stewart NN,Stumpf KR,Sunkin SM,Sutram M,Tam A,Teemer CD,Thaller C,Thompson CL,Varnam LR,Visel A,Whitlock RM,Wohnoutka PE,Wolkey CK,Wong VY,Wood M,Yaylaoglu MB,Young RC,Youngstrom BL,Yuan XF,Zhang B,Zwingman TA,Jones AR","EXACT_SOURCE":"Table 1S: astrocyte-enriched","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes enriched in astrocytes in the adult mouse brain identified through correlation-based searches seeded with the astrocyte cell-type specific gene expression patterns.","DESCRIPTION_FULL":"Molecular approaches to understanding the functional circuitry of the nervous system promise new insights into the relationship between genes, brain and behaviour. The cellular diversity of the brain necessitates a cellular resolution approach towards understanding the functional genomics of the nervous system. We describe here an anatomically comprehensive digital atlas containing the expression patterns of approximately 20,000 genes in the adult mouse brain. Data were generated using automated high-throughput procedures for in situ hybridization and data acquisition, and are publicly accessible online. Newly developed image-based informatics tools allow global genome-scale structural analysis and cross-correlation, as well as identification of regionally enriched genes. Unbiased fine-resolution analysis has identified highly specific cellular markers as well as extensive evidence of cellular heterogeneity not evident in classical neuroanatomical atlases. This highly standardized atlas provides an open, primary data resource for a wide variety of further studies concerning brain organization and function."}
{"STANDARD_NAME":"LEIN_OLIGODENDROCYTE_MARKERS","SYSTEMATIC_NAME":"M1714","ORGANISM":"Mus musculus","PMID":"17151600","AUTHORS":"Lein ES,Hawrylycz MJ,Ao N,Ayres M,Bensinger A,Bernard A,Boe AF,Boguski MS,Brockway KS,Byrnes EJ,Chen L,Chen TM,Chin MC,Chong J,Crook BE,Czaplinska A,Dang CN,Datta S,Dee NR,Desaki AL,Desta T,Diep E,Dolbeare TA,Donelan MJ,Dong HW,Dougherty JG,Duncan BJ,Ebbert AJ,Eichele G,Estin LK,Faber C,Facer BA,Fields R,Fischer SR,Fliss TP,Frensley C,Gates SN,Glattfelder KJ,Halverson KR,Hart MR,Hohmann JG,Howell MP,Jeung DP,Johnson RA,Karr PT,Kawal R,Kidney JM,Knapik RH,Kuan CL,Lake JH,Laramee AR,Larsen KD,Lau C,Lemon TA,Liang AJ,Liu Y,Luong LT,Michaels J,Morgan JJ,Morgan RJ,Mortrud MT,Mosqueda NF,Ng LL,Ng R,Orta GJ,Overly CC,Pak TH,Parry SE,Pathak SD,Pearson OC,Puchalski RB,Riley ZL,Rockett HR,Rowland SA,Royall JJ,Ruiz MJ,Sarno NR,Schaffnit K,Shapovalova NV,Sivisay T,Slaughterbeck CR,Smith SC,Smith KA,Smith BI,Sodt AJ,Stewart NN,Stumpf KR,Sunkin SM,Sutram M,Tam A,Teemer CD,Thaller C,Thompson CL,Varnam LR,Visel A,Whitlock RM,Wohnoutka PE,Wolkey CK,Wong VY,Wood M,Yaylaoglu MB,Young RC,Youngstrom BL,Yuan XF,Zhang B,Zwingman TA,Jones AR","EXACT_SOURCE":"Table 1S: Oligodendrocyte-enriched","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes enriched in oligodendrocytes in the adult mouse brain identified through correlation-based searches seeded with the oligodendrocyte cell-type specific gene expression patterns.","DESCRIPTION_FULL":"Molecular approaches to understanding the functional circuitry of the nervous system promise new insights into the relationship between genes, brain and behaviour. The cellular diversity of the brain necessitates a cellular resolution approach towards understanding the functional genomics of the nervous system. We describe here an anatomically comprehensive digital atlas containing the expression patterns of approximately 20,000 genes in the adult mouse brain. Data were generated using automated high-throughput procedures for in situ hybridization and data acquisition, and are publicly accessible online. Newly developed image-based informatics tools allow global genome-scale structural analysis and cross-correlation, as well as identification of regionally enriched genes. Unbiased fine-resolution analysis has identified highly specific cellular markers as well as extensive evidence of cellular heterogeneity not evident in classical neuroanatomical atlases. This highly standardized atlas provides an open, primary data resource for a wide variety of further studies concerning brain organization and function."}
{"STANDARD_NAME":"LEIN_MIDBRAIN_MARKERS","SYSTEMATIC_NAME":"M1720","ORGANISM":"Mus musculus","PMID":"17151600","AUTHORS":"Lein ES,Hawrylycz MJ,Ao N,Ayres M,Bensinger A,Bernard A,Boe AF,Boguski MS,Brockway KS,Byrnes EJ,Chen L,Chen TM,Chin MC,Chong J,Crook BE,Czaplinska A,Dang CN,Datta S,Dee NR,Desaki AL,Desta T,Diep E,Dolbeare TA,Donelan MJ,Dong HW,Dougherty JG,Duncan BJ,Ebbert AJ,Eichele G,Estin LK,Faber C,Facer BA,Fields R,Fischer SR,Fliss TP,Frensley C,Gates SN,Glattfelder KJ,Halverson KR,Hart MR,Hohmann JG,Howell MP,Jeung DP,Johnson RA,Karr PT,Kawal R,Kidney JM,Knapik RH,Kuan CL,Lake JH,Laramee AR,Larsen KD,Lau C,Lemon TA,Liang AJ,Liu Y,Luong LT,Michaels J,Morgan JJ,Morgan RJ,Mortrud MT,Mosqueda NF,Ng LL,Ng R,Orta GJ,Overly CC,Pak TH,Parry SE,Pathak SD,Pearson OC,Puchalski RB,Riley ZL,Rockett HR,Rowland SA,Royall JJ,Ruiz MJ,Sarno NR,Schaffnit K,Shapovalova NV,Sivisay T,Slaughterbeck CR,Smith SC,Smith KA,Smith BI,Sodt AJ,Stewart NN,Stumpf KR,Sunkin SM,Sutram M,Tam A,Teemer CD,Thaller C,Thompson CL,Varnam LR,Visel A,Whitlock RM,Wohnoutka PE,Wolkey CK,Wong VY,Wood M,Yaylaoglu MB,Young RC,Youngstrom BL,Yuan XF,Zhang B,Zwingman TA,Jones AR","EXACT_SOURCE":"Table 3S: MB","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top 100 ranked genes most specific to midbrain region of adult mouse brain.","DESCRIPTION_FULL":"Molecular approaches to understanding the functional circuitry of the nervous system promise new insights into the relationship between genes, brain and behaviour. The cellular diversity of the brain necessitates a cellular resolution approach towards understanding the functional genomics of the nervous system. We describe here an anatomically comprehensive digital atlas containing the expression patterns of approximately 20,000 genes in the adult mouse brain. Data were generated using automated high-throughput procedures for in situ hybridization and data acquisition, and are publicly accessible online. Newly developed image-based informatics tools allow global genome-scale structural analysis and cross-correlation, as well as identification of regionally enriched genes. Unbiased fine-resolution analysis has identified highly specific cellular markers as well as extensive evidence of cellular heterogeneity not evident in classical neuroanatomical atlases. This highly standardized atlas provides an open, primary data resource for a wide variety of further studies concerning brain organization and function."}
{"STANDARD_NAME":"LEIN_PONS_MARKERS","SYSTEMATIC_NAME":"M1721","ORGANISM":"Mus musculus","PMID":"17151600","AUTHORS":"Lein ES,Hawrylycz MJ,Ao N,Ayres M,Bensinger A,Bernard A,Boe AF,Boguski MS,Brockway KS,Byrnes EJ,Chen L,Chen TM,Chin MC,Chong J,Crook BE,Czaplinska A,Dang CN,Datta S,Dee NR,Desaki AL,Desta T,Diep E,Dolbeare TA,Donelan MJ,Dong HW,Dougherty JG,Duncan BJ,Ebbert AJ,Eichele G,Estin LK,Faber C,Facer BA,Fields R,Fischer SR,Fliss TP,Frensley C,Gates SN,Glattfelder KJ,Halverson KR,Hart MR,Hohmann JG,Howell MP,Jeung DP,Johnson RA,Karr PT,Kawal R,Kidney JM,Knapik RH,Kuan CL,Lake JH,Laramee AR,Larsen KD,Lau C,Lemon TA,Liang AJ,Liu Y,Luong LT,Michaels J,Morgan JJ,Morgan RJ,Mortrud MT,Mosqueda NF,Ng LL,Ng R,Orta GJ,Overly CC,Pak TH,Parry SE,Pathak SD,Pearson OC,Puchalski RB,Riley ZL,Rockett HR,Rowland SA,Royall JJ,Ruiz MJ,Sarno NR,Schaffnit K,Shapovalova NV,Sivisay T,Slaughterbeck CR,Smith SC,Smith KA,Smith BI,Sodt AJ,Stewart NN,Stumpf KR,Sunkin SM,Sutram M,Tam A,Teemer CD,Thaller C,Thompson CL,Varnam LR,Visel A,Whitlock RM,Wohnoutka PE,Wolkey CK,Wong VY,Wood M,Yaylaoglu MB,Young RC,Youngstrom BL,Yuan XF,Zhang B,Zwingman TA,Jones AR","EXACT_SOURCE":"Table 3S: P","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top 100 ranked genes most specific to pons region (P) of the adult mouse brain.","DESCRIPTION_FULL":"Molecular approaches to understanding the functional circuitry of the nervous system promise new insights into the relationship between genes, brain and behaviour. The cellular diversity of the brain necessitates a cellular resolution approach towards understanding the functional genomics of the nervous system. We describe here an anatomically comprehensive digital atlas containing the expression patterns of approximately 20,000 genes in the adult mouse brain. Data were generated using automated high-throughput procedures for in situ hybridization and data acquisition, and are publicly accessible online. Newly developed image-based informatics tools allow global genome-scale structural analysis and cross-correlation, as well as identification of regionally enriched genes. Unbiased fine-resolution analysis has identified highly specific cellular markers as well as extensive evidence of cellular heterogeneity not evident in classical neuroanatomical atlases. This highly standardized atlas provides an open, primary data resource for a wide variety of further studies concerning brain organization and function."}
{"STANDARD_NAME":"LEIN_MEDULLA_MARKERS","SYSTEMATIC_NAME":"M1722","ORGANISM":"Mus musculus","PMID":"17151600","AUTHORS":"Lein ES,Hawrylycz MJ,Ao N,Ayres M,Bensinger A,Bernard A,Boe AF,Boguski MS,Brockway KS,Byrnes EJ,Chen L,Chen TM,Chin MC,Chong J,Crook BE,Czaplinska A,Dang CN,Datta S,Dee NR,Desaki AL,Desta T,Diep E,Dolbeare TA,Donelan MJ,Dong HW,Dougherty JG,Duncan BJ,Ebbert AJ,Eichele G,Estin LK,Faber C,Facer BA,Fields R,Fischer SR,Fliss TP,Frensley C,Gates SN,Glattfelder KJ,Halverson KR,Hart MR,Hohmann JG,Howell MP,Jeung DP,Johnson RA,Karr PT,Kawal R,Kidney JM,Knapik RH,Kuan CL,Lake JH,Laramee AR,Larsen KD,Lau C,Lemon TA,Liang AJ,Liu Y,Luong LT,Michaels J,Morgan JJ,Morgan RJ,Mortrud MT,Mosqueda NF,Ng LL,Ng R,Orta GJ,Overly CC,Pak TH,Parry SE,Pathak SD,Pearson OC,Puchalski RB,Riley ZL,Rockett HR,Rowland SA,Royall JJ,Ruiz MJ,Sarno NR,Schaffnit K,Shapovalova NV,Sivisay T,Slaughterbeck CR,Smith SC,Smith KA,Smith BI,Sodt AJ,Stewart NN,Stumpf KR,Sunkin SM,Sutram M,Tam A,Teemer CD,Thaller C,Thompson CL,Varnam LR,Visel A,Whitlock RM,Wohnoutka PE,Wolkey CK,Wong VY,Wood M,Yaylaoglu MB,Young RC,Youngstrom BL,Yuan XF,Zhang B,Zwingman TA,Jones AR","EXACT_SOURCE":"Table 3S: MY","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top 100 ranked genes most specific to medulla (myelencephalon) hindbrain region of adult mouse brain.","DESCRIPTION_FULL":"Molecular approaches to understanding the functional circuitry of the nervous system promise new insights into the relationship between genes, brain and behaviour. The cellular diversity of the brain necessitates a cellular resolution approach towards understanding the functional genomics of the nervous system. We describe here an anatomically comprehensive digital atlas containing the expression patterns of approximately 20,000 genes in the adult mouse brain. Data were generated using automated high-throughput procedures for in situ hybridization and data acquisition, and are publicly accessible online. Newly developed image-based informatics tools allow global genome-scale structural analysis and cross-correlation, as well as identification of regionally enriched genes. Unbiased fine-resolution analysis has identified highly specific cellular markers as well as extensive evidence of cellular heterogeneity not evident in classical neuroanatomical atlases. This highly standardized atlas provides an open, primary data resource for a wide variety of further studies concerning brain organization and function."}
{"STANDARD_NAME":"LEIN_CEREBELLUM_MARKERS","SYSTEMATIC_NAME":"M1723","ORGANISM":"Mus musculus","PMID":"17151600","AUTHORS":"Lein ES,Hawrylycz MJ,Ao N,Ayres M,Bensinger A,Bernard A,Boe AF,Boguski MS,Brockway KS,Byrnes EJ,Chen L,Chen TM,Chin MC,Chong J,Crook BE,Czaplinska A,Dang CN,Datta S,Dee NR,Desaki AL,Desta T,Diep E,Dolbeare TA,Donelan MJ,Dong HW,Dougherty JG,Duncan BJ,Ebbert AJ,Eichele G,Estin LK,Faber C,Facer BA,Fields R,Fischer SR,Fliss TP,Frensley C,Gates SN,Glattfelder KJ,Halverson KR,Hart MR,Hohmann JG,Howell MP,Jeung DP,Johnson RA,Karr PT,Kawal R,Kidney JM,Knapik RH,Kuan CL,Lake JH,Laramee AR,Larsen KD,Lau C,Lemon TA,Liang AJ,Liu Y,Luong LT,Michaels J,Morgan JJ,Morgan RJ,Mortrud MT,Mosqueda NF,Ng LL,Ng R,Orta GJ,Overly CC,Pak TH,Parry SE,Pathak SD,Pearson OC,Puchalski RB,Riley ZL,Rockett HR,Rowland SA,Royall JJ,Ruiz MJ,Sarno NR,Schaffnit K,Shapovalova NV,Sivisay T,Slaughterbeck CR,Smith SC,Smith KA,Smith BI,Sodt AJ,Stewart NN,Stumpf KR,Sunkin SM,Sutram M,Tam A,Teemer CD,Thaller C,Thompson CL,Varnam LR,Visel A,Whitlock RM,Wohnoutka PE,Wolkey CK,Wong VY,Wood M,Yaylaoglu MB,Young RC,Youngstrom BL,Yuan XF,Zhang B,Zwingman TA,Jones AR","EXACT_SOURCE":"Table 3S: CB","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top 100 ranked genes most specific to the cerebellum region of adult mouse brain.","DESCRIPTION_FULL":"Molecular approaches to understanding the functional circuitry of the nervous system promise new insights into the relationship between genes, brain and behaviour. The cellular diversity of the brain necessitates a cellular resolution approach towards understanding the functional genomics of the nervous system. We describe here an anatomically comprehensive digital atlas containing the expression patterns of approximately 20,000 genes in the adult mouse brain. Data were generated using automated high-throughput procedures for in situ hybridization and data acquisition, and are publicly accessible online. Newly developed image-based informatics tools allow global genome-scale structural analysis and cross-correlation, as well as identification of regionally enriched genes. Unbiased fine-resolution analysis has identified highly specific cellular markers as well as extensive evidence of cellular heterogeneity not evident in classical neuroanatomical atlases. This highly standardized atlas provides an open, primary data resource for a wide variety of further studies concerning brain organization and function."}
{"STANDARD_NAME":"LEIN_LOCALIZED_TO_DISTAL_AND_PROXIMAL_DENDRITES","SYSTEMATIC_NAME":"M1725","ORGANISM":"Mus musculus","PMID":"17151600","AUTHORS":"Lein ES,Hawrylycz MJ,Ao N,Ayres M,Bensinger A,Bernard A,Boe AF,Boguski MS,Brockway KS,Byrnes EJ,Chen L,Chen TM,Chin MC,Chong J,Crook BE,Czaplinska A,Dang CN,Datta S,Dee NR,Desaki AL,Desta T,Diep E,Dolbeare TA,Donelan MJ,Dong HW,Dougherty JG,Duncan BJ,Ebbert AJ,Eichele G,Estin LK,Faber C,Facer BA,Fields R,Fischer SR,Fliss TP,Frensley C,Gates SN,Glattfelder KJ,Halverson KR,Hart MR,Hohmann JG,Howell MP,Jeung DP,Johnson RA,Karr PT,Kawal R,Kidney JM,Knapik RH,Kuan CL,Lake JH,Laramee AR,Larsen KD,Lau C,Lemon TA,Liang AJ,Liu Y,Luong LT,Michaels J,Morgan JJ,Morgan RJ,Mortrud MT,Mosqueda NF,Ng LL,Ng R,Orta GJ,Overly CC,Pak TH,Parry SE,Pathak SD,Pearson OC,Puchalski RB,Riley ZL,Rockett HR,Rowland SA,Royall JJ,Ruiz MJ,Sarno NR,Schaffnit K,Shapovalova NV,Sivisay T,Slaughterbeck CR,Smith SC,Smith KA,Smith BI,Sodt AJ,Stewart NN,Stumpf KR,Sunkin SM,Sutram M,Tam A,Teemer CD,Thaller C,Thompson CL,Varnam LR,Visel A,Whitlock RM,Wohnoutka PE,Wolkey CK,Wong VY,Wood M,Yaylaoglu MB,Young RC,Youngstrom BL,Yuan XF,Zhang B,Zwingman TA,Jones AR","EXACT_SOURCE":"Table 4S: Distal and Proximal Dendrites","CHIP":"Mouse_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Transcripts showing subcellular localization to both distal and proximal dendrites in the adult mouse brain.","DESCRIPTION_FULL":"Molecular approaches to understanding the functional circuitry of the nervous system promise new insights into the relationship between genes, brain and behaviour. The cellular diversity of the brain necessitates a cellular resolution approach towards understanding the functional genomics of the nervous system. We describe here an anatomically comprehensive digital atlas containing the expression patterns of approximately 20,000 genes in the adult mouse brain. Data were generated using automated high-throughput procedures for in situ hybridization and data acquisition, and are publicly accessible online. Newly developed image-based informatics tools allow global genome-scale structural analysis and cross-correlation, as well as identification of regionally enriched genes. Unbiased fine-resolution analysis has identified highly specific cellular markers as well as extensive evidence of cellular heterogeneity not evident in classical neuroanatomical atlases. This highly standardized atlas provides an open, primary data resource for a wide variety of further studies concerning brain organization and function."}
{"STANDARD_NAME":"LEIN_LOCALIZED_TO_PROXIMAL_DENDRITES","SYSTEMATIC_NAME":"M1726","ORGANISM":"Mus musculus","PMID":"17151600","AUTHORS":"Lein ES,Hawrylycz MJ,Ao N,Ayres M,Bensinger A,Bernard A,Boe AF,Boguski MS,Brockway KS,Byrnes EJ,Chen L,Chen TM,Chin MC,Chong J,Crook BE,Czaplinska A,Dang CN,Datta S,Dee NR,Desaki AL,Desta T,Diep E,Dolbeare TA,Donelan MJ,Dong HW,Dougherty JG,Duncan BJ,Ebbert AJ,Eichele G,Estin LK,Faber C,Facer BA,Fields R,Fischer SR,Fliss TP,Frensley C,Gates SN,Glattfelder KJ,Halverson KR,Hart MR,Hohmann JG,Howell MP,Jeung DP,Johnson RA,Karr PT,Kawal R,Kidney JM,Knapik RH,Kuan CL,Lake JH,Laramee AR,Larsen KD,Lau C,Lemon TA,Liang AJ,Liu Y,Luong LT,Michaels J,Morgan JJ,Morgan RJ,Mortrud MT,Mosqueda NF,Ng LL,Ng R,Orta GJ,Overly CC,Pak TH,Parry SE,Pathak SD,Pearson OC,Puchalski RB,Riley ZL,Rockett HR,Rowland SA,Royall JJ,Ruiz MJ,Sarno NR,Schaffnit K,Shapovalova NV,Sivisay T,Slaughterbeck CR,Smith SC,Smith KA,Smith BI,Sodt AJ,Stewart NN,Stumpf KR,Sunkin SM,Sutram M,Tam A,Teemer CD,Thaller C,Thompson CL,Varnam LR,Visel A,Whitlock RM,Wohnoutka PE,Wolkey CK,Wong VY,Wood M,Yaylaoglu MB,Young RC,Youngstrom BL,Yuan XF,Zhang B,Zwingman TA,Jones AR","EXACT_SOURCE":"Table 4S: proximal dendrites only","CHIP":"Mouse_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Transcripts showing subcellular localization only to proximal dendrites in the adult mouse brain.","DESCRIPTION_FULL":"Molecular approaches to understanding the functional circuitry of the nervous system promise new insights into the relationship between genes, brain and behaviour. The cellular diversity of the brain necessitates a cellular resolution approach towards understanding the functional genomics of the nervous system. We describe here an anatomically comprehensive digital atlas containing the expression patterns of approximately 20,000 genes in the adult mouse brain. Data were generated using automated high-throughput procedures for in situ hybridization and data acquisition, and are publicly accessible online. Newly developed image-based informatics tools allow global genome-scale structural analysis and cross-correlation, as well as identification of regionally enriched genes. Unbiased fine-resolution analysis has identified highly specific cellular markers as well as extensive evidence of cellular heterogeneity not evident in classical neuroanatomical atlases. This highly standardized atlas provides an open, primary data resource for a wide variety of further studies concerning brain organization and function."}
{"STANDARD_NAME":"GAVIN_FOXP3_TARGETS_CLUSTER_T7","SYSTEMATIC_NAME":"M1731","ORGANISM":"Mus musculus","PMID":"17220874","AUTHORS":"Gavin MA,Rasmussen JP,Fontenot JD,Vasta V,Manganiello VC,Beavo JA,Rudensky AY","GEOID":"GSE7280,GSE7770,GSE7773","EXACT_SOURCE":"Fig 5S: cluster T7","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster T7 of genes with similar expression profiles in thymic T lymphocytes after FOXP3 [GeneID=50943] loss of function (LOF).","DESCRIPTION_FULL":"Regulatory CD4+ T cells (Tr cells), the development of which is critically dependent on X-linked transcription factor Foxp3 (forkhead box P3), prevent self-destructive immune responses. Despite its important role, molecular and functional features conferred by Foxp3 to Tr precursor cells remain unknown. It has been suggested that Foxp3 expression is required for both survival of Tr precursors as well as their inability to produce interleukin (IL)-2 and independently proliferate after T-cell-receptor engagement, raising the possibility that such 'anergy' and Tr suppressive capacity are intimately linked. Here we show, by dissociating Foxp3-dependent features from those induced by the signals preceding and promoting its expression in mice, that the latter signals include several functional and transcriptional hallmarks of Tr cells. Although its function is required for Tr cell suppressor activity, Foxp3 to a large extent amplifies and fixes pre-established molecular features of Tr cells, including anergy and dependence on paracrine IL-2. Furthermore, Foxp3 solidifies Tr cell lineage stability through modification of cell surface and signalling molecules, resulting in adaptation to the signals required to induce and maintain Tr cells. This adaptation includes Foxp3-dependent repression of cyclic nucleotide phosphodiesterase 3B, affecting genes responsible for Tr cell homeostasis."}
{"STANDARD_NAME":"GAVIN_FOXP3_TARGETS_CLUSTER_P2","SYSTEMATIC_NAME":"M1732","ORGANISM":"Mus musculus","PMID":"17220874","AUTHORS":"Gavin MA,Rasmussen JP,Fontenot JD,Vasta V,Manganiello VC,Beavo JA,Rudensky AY","GEOID":"GSE7280,GSE7773,GSE7770","EXACT_SOURCE":"Fig 5S: cluster P2","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster P2 of genes with similar expression profiles in peripheral T ymphocytes after FOXP3 [GeneID=50943] loss of function (LOF).","DESCRIPTION_FULL":"Regulatory CD4+ T cells (Tr cells), the development of which is critically dependent on X-linked transcription factor Foxp3 (forkhead box P3), prevent self-destructive immune responses. Despite its important role, molecular and functional features conferred by Foxp3 to Tr precursor cells remain unknown. It has been suggested that Foxp3 expression is required for both survival of Tr precursors as well as their inability to produce interleukin (IL)-2 and independently proliferate after T-cell-receptor engagement, raising the possibility that such 'anergy' and Tr suppressive capacity are intimately linked. Here we show, by dissociating Foxp3-dependent features from those induced by the signals preceding and promoting its expression in mice, that the latter signals include several functional and transcriptional hallmarks of Tr cells. Although its function is required for Tr cell suppressor activity, Foxp3 to a large extent amplifies and fixes pre-established molecular features of Tr cells, including anergy and dependence on paracrine IL-2. Furthermore, Foxp3 solidifies Tr cell lineage stability through modification of cell surface and signalling molecules, resulting in adaptation to the signals required to induce and maintain Tr cells. This adaptation includes Foxp3-dependent repression of cyclic nucleotide phosphodiesterase 3B, affecting genes responsible for Tr cell homeostasis."}
{"STANDARD_NAME":"GAVIN_FOXP3_TARGETS_CLUSTER_P3","SYSTEMATIC_NAME":"M1733","ORGANISM":"Mus musculus","PMID":"17220874","AUTHORS":"Gavin MA,Rasmussen JP,Fontenot JD,Vasta V,Manganiello VC,Beavo JA,Rudensky AY","GEOID":"GSE7280,GSE7770,GSE7773","EXACT_SOURCE":"Fig 5S: cluster P3","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster P3 of genes with similar expression profiles in peripheral T lymphocytes after FOXP3 [GeneID=50943] loss of function (LOF).","DESCRIPTION_FULL":"Regulatory CD4+ T cells (Tr cells), the development of which is critically dependent on X-linked transcription factor Foxp3 (forkhead box P3), prevent self-destructive immune responses. Despite its important role, molecular and functional features conferred by Foxp3 to Tr precursor cells remain unknown. It has been suggested that Foxp3 expression is required for both survival of Tr precursors as well as their inability to produce interleukin (IL)-2 and independently proliferate after T-cell-receptor engagement, raising the possibility that such 'anergy' and Tr suppressive capacity are intimately linked. Here we show, by dissociating Foxp3-dependent features from those induced by the signals preceding and promoting its expression in mice, that the latter signals include several functional and transcriptional hallmarks of Tr cells. Although its function is required for Tr cell suppressor activity, Foxp3 to a large extent amplifies and fixes pre-established molecular features of Tr cells, including anergy and dependence on paracrine IL-2. Furthermore, Foxp3 solidifies Tr cell lineage stability through modification of cell surface and signalling molecules, resulting in adaptation to the signals required to induce and maintain Tr cells. This adaptation includes Foxp3-dependent repression of cyclic nucleotide phosphodiesterase 3B, affecting genes responsible for Tr cell homeostasis."}
{"STANDARD_NAME":"GAVIN_PDE3B_TARGETS","SYSTEMATIC_NAME":"M1737","ORGANISM":"Mus musculus","PMID":"17220874","AUTHORS":"Gavin MA,Rasmussen JP,Fontenot JD,Vasta V,Manganiello VC,Beavo JA,Rudensky AY","GEOID":"GSE7773,GSE7770,GSE7280","EXACT_SOURCE":"Supplementary Fig 8E","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes changed in peripheral regulatory T lymphocytes that depend on PDE3B [GeneID=5140].","DESCRIPTION_FULL":"Regulatory CD4+ T cells (Tr cells), the development of which is critically dependent on X-linked transcription factor Foxp3 (forkhead box P3), prevent self-destructive immune responses. Despite its important role, molecular and functional features conferred by Foxp3 to Tr precursor cells remain unknown. It has been suggested that Foxp3 expression is required for both survival of Tr precursors as well as their inability to produce interleukin (IL)-2 and independently proliferate after T-cell-receptor engagement, raising the possibility that such 'anergy' and Tr suppressive capacity are intimately linked. Here we show, by dissociating Foxp3-dependent features from those induced by the signals preceding and promoting its expression in mice, that the latter signals include several functional and transcriptional hallmarks of Tr cells. Although its function is required for Tr cell suppressor activity, Foxp3 to a large extent amplifies and fixes pre-established molecular features of Tr cells, including anergy and dependence on paracrine IL-2. Furthermore, Foxp3 solidifies Tr cell lineage stability through modification of cell surface and signalling molecules, resulting in adaptation to the signals required to induce and maintain Tr cells. This adaptation includes Foxp3-dependent repression of cyclic nucleotide phosphodiesterase 3B, affecting genes responsible for Tr cell homeostasis."}
{"STANDARD_NAME":"GAVIN_IL2_RESPONSIVE_FOXP3_TARGETS_DN","SYSTEMATIC_NAME":"M1740","ORGANISM":"Mus musculus","PMID":"17220874","AUTHORS":"Gavin MA,Rasmussen JP,Fontenot JD,Vasta V,Manganiello VC,Beavo JA,Rudensky AY","GEOID":"GSE7773,GSE7280,GSE7770","EXACT_SOURCE":"Supplementary Fig 7D","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"FOXP3 [GeneID=50943] target genes down-regulated in T lymphocytes after stimulation with IL2 [GeneID=3558].","DESCRIPTION_FULL":"Regulatory CD4+ T cells (Tr cells), the development of which is critically dependent on X-linked transcription factor Foxp3 (forkhead box P3), prevent self-destructive immune responses. Despite its important role, molecular and functional features conferred by Foxp3 to Tr precursor cells remain unknown. It has been suggested that Foxp3 expression is required for both survival of Tr precursors as well as their inability to produce interleukin (IL)-2 and independently proliferate after T-cell-receptor engagement, raising the possibility that such 'anergy' and Tr suppressive capacity are intimately linked. Here we show, by dissociating Foxp3-dependent features from those induced by the signals preceding and promoting its expression in mice, that the latter signals include several functional and transcriptional hallmarks of Tr cells. Although its function is required for Tr cell suppressor activity, Foxp3 to a large extent amplifies and fixes pre-established molecular features of Tr cells, including anergy and dependence on paracrine IL-2. Furthermore, Foxp3 solidifies Tr cell lineage stability through modification of cell surface and signalling molecules, resulting in adaptation to the signals required to induce and maintain Tr cells. This adaptation includes Foxp3-dependent repression of cyclic nucleotide phosphodiesterase 3B, affecting genes responsible for Tr cell homeostasis."}
{"STANDARD_NAME":"MARSON_FOXP3_TARGETS_STIMULATED_UP","SYSTEMATIC_NAME":"M3146","ORGANISM":"Mus musculus","PMID":"17237765","AUTHORS":"Marson A,Kretschmer K,Frampton GM,Jacobsen ES,Polansky JK,MacIsaac KD,Levine SS,Fraenkel E,von Boehmer H,Young RA","EXACT_SOURCE":"Table 7aS: fox3p+/fox3p- > 1 & Foxp3 bound (FDR <.10)","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with promoters bound by FOXP3 [GeneID=50943], dependent on it, and up-regulated in hybridoma cells stimulated by PMA [PubChem=4792] and ionomycin [PubChem=3733].","DESCRIPTION_FULL":"Foxp3+CD4+CD25+ regulatory T (T(reg)) cells are essential for the prevention of autoimmunity. T(reg) cells have an attenuated cytokine response to T-cell receptor stimulation, and can suppress the proliferation and effector function of neighbouring T cells. The forkhead transcription factor Foxp3 (forkhead box P3) is selectively expressed in T(reg) cells, is required for T(reg) development and function, and is sufficient to induce a T(reg) phenotype in conventional CD4+CD25- T cells. Mutations in Foxp3 cause severe, multi-organ autoimmunity in both human and mouse. FOXP3 can cooperate in a DNA-binding complex with NFAT (nuclear factor of activated T cells) to regulate the transcription of several known target genes. However, the global set of genes regulated directly by Foxp3 is not known and consequently, how this transcription factor controls the gene expression programme for T(reg) function is not understood. Here we identify Foxp3 target genes and report that many of these are key modulators of T-cell activation and function. Remarkably, the predominant, although not exclusive, effect of Foxp3 occupancy is to suppress the activation of target genes on T-cell stimulation. Foxp3 suppression of its targets appears to be crucial for the normal function of T(reg) cells, because overactive variants of some target genes are known to be associated with autoimmune disease."}
{"STANDARD_NAME":"MARSON_FOXP3_TARGETS_STIMULATED_DN","SYSTEMATIC_NAME":"M18702","ORGANISM":"Mus musculus","PMID":"17237765","AUTHORS":"Marson A,Kretschmer K,Frampton GM,Jacobsen ES,Polansky JK,MacIsaac KD,Levine SS,Fraenkel E,von Boehmer H,Young RA","EXACT_SOURCE":"Table 7aS: fox3p+/fox3p- <1 & Foxp3 bound (FDR<.10)","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with promoters bound by FOXP3 [GeneID=50943], dependent on it, and down-regulated in hybridoma cells stimulated by PMA [PubChem=4792] and ionomycin [PubChem=3733].","DESCRIPTION_FULL":"Foxp3+CD4+CD25+ regulatory T (T(reg)) cells are essential for the prevention of autoimmunity. T(reg) cells have an attenuated cytokine response to T-cell receptor stimulation, and can suppress the proliferation and effector function of neighbouring T cells. The forkhead transcription factor Foxp3 (forkhead box P3) is selectively expressed in T(reg) cells, is required for T(reg) development and function, and is sufficient to induce a T(reg) phenotype in conventional CD4+CD25- T cells. Mutations in Foxp3 cause severe, multi-organ autoimmunity in both human and mouse. FOXP3 can cooperate in a DNA-binding complex with NFAT (nuclear factor of activated T cells) to regulate the transcription of several known target genes. However, the global set of genes regulated directly by Foxp3 is not known and consequently, how this transcription factor controls the gene expression programme for T(reg) function is not understood. Here we identify Foxp3 target genes and report that many of these are key modulators of T-cell activation and function. Remarkably, the predominant, although not exclusive, effect of Foxp3 occupancy is to suppress the activation of target genes on T-cell stimulation. Foxp3 suppression of its targets appears to be crucial for the normal function of T(reg) cells, because overactive variants of some target genes are known to be associated with autoimmune disease."}
{"STANDARD_NAME":"MARSON_FOXP3_CORE_DIRECT_TARGETS","SYSTEMATIC_NAME":"M1745","ORGANISM":"Mus musculus","PMID":"17237765","AUTHORS":"Marson A,Kretschmer K,Frampton GM,Jacobsen ES,Polansky JK,MacIsaac KD,Levine SS,Fraenkel E,von Boehmer H,Young RA","EXACT_SOURCE":"Fig 4a","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Direct FOXP3 [GeneID=50943] targets that exhibit consistent transcriptional behavior in hybridoma and in ex vivo T lymphocytes.","DESCRIPTION_FULL":"Foxp3+CD4+CD25+ regulatory T (T(reg)) cells are essential for the prevention of autoimmunity. T(reg) cells have an attenuated cytokine response to T-cell receptor stimulation, and can suppress the proliferation and effector function of neighbouring T cells. The forkhead transcription factor Foxp3 (forkhead box P3) is selectively expressed in T(reg) cells, is required for T(reg) development and function, and is sufficient to induce a T(reg) phenotype in conventional CD4+CD25- T cells. Mutations in Foxp3 cause severe, multi-organ autoimmunity in both human and mouse. FOXP3 can cooperate in a DNA-binding complex with NFAT (nuclear factor of activated T cells) to regulate the transcription of several known target genes. However, the global set of genes regulated directly by Foxp3 is not known and consequently, how this transcription factor controls the gene expression programme for T(reg) function is not understood. Here we identify Foxp3 target genes and report that many of these are key modulators of T-cell activation and function. Remarkably, the predominant, although not exclusive, effect of Foxp3 occupancy is to suppress the activation of target genes on T-cell stimulation. Foxp3 suppression of its targets appears to be crucial for the normal function of T(reg) cells, because overactive variants of some target genes are known to be associated with autoimmune disease."}
{"STANDARD_NAME":"ZHENG_FOXP3_TARGETS_IN_THYMUS_DN","SYSTEMATIC_NAME":"M1747","ORGANISM":"Mus musculus","PMID":"17237761","AUTHORS":"Zheng Y,Josefowicz SZ,Kas A,Chu TT,Gavin MA,Rudensky AY","EXACT_SOURCE":"Table 3S: thymus only","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with promoters bound by FOXP3 [GeneID=50943] and which are down-regulated only in developing (located in the thymus) regulatory CD4+ [GeneID=920] T lymphocytes.","DESCRIPTION_FULL":"Transcription factor Foxp3 (forkhead box P3), restricted in its expression to a specialized regulatory CD4+ T-cell subset (T(R)) with a dedicated suppressor function, controls T(R) lineage development. In humans and mice, Foxp3 deficiency results in a paucity of T(R) cells and a fatal breach in immunological tolerance, causing highly aggressive multi-organ autoimmune pathology. Here, through genome-wide analysis combining chromatin immunoprecipitation with mouse genome tiling array profiling, we identify Foxp3 binding regions for approximately 700 genes and for an intergenically encoded microRNA. We find that a large number of Foxp3-bound genes are up- or downregulated in Foxp3+ T cells, suggesting that Foxp3 acts as both a transcriptional activator and repressor. Foxp3-mediated regulation unique to the thymus affects, among others, genes encoding nuclear factors that control gene expression and chromatin remodelling. In contrast, Foxp3 target genes shared by the thymic and peripheral T(R) cells encode primarily plasma membrane proteins, as well as cell signalling proteins. Together, our studies suggest that distinct transcriptional sub-programmes implemented by Foxp3 establish T(R) lineage during differentiation and its proliferative and functional competence in the periphery."}
{"STANDARD_NAME":"ZHENG_FOXP3_TARGETS_IN_T_LYMPHOCYTE_UP","SYSTEMATIC_NAME":"M1748","ORGANISM":"Mus musculus","PMID":"17237761","AUTHORS":"Zheng Y,Josefowicz SZ,Kas A,Chu TT,Gavin MA,Rudensky AY","EXACT_SOURCE":"Table 3S: periphery only","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with promoters bound by FOXP3 [GeneID=50943] and which are up-regulated only in mature (peripheral blood) regulatory CD4+ [GeneID=920] T lymphocytes.","DESCRIPTION_FULL":"Transcription factor Foxp3 (forkhead box P3), restricted in its expression to a specialized regulatory CD4+ T-cell subset (T(R)) with a dedicated suppressor function, controls T(R) lineage development. In humans and mice, Foxp3 deficiency results in a paucity of T(R) cells and a fatal breach in immunological tolerance, causing highly aggressive multi-organ autoimmune pathology. Here, through genome-wide analysis combining chromatin immunoprecipitation with mouse genome tiling array profiling, we identify Foxp3 binding regions for approximately 700 genes and for an intergenically encoded microRNA. We find that a large number of Foxp3-bound genes are up- or downregulated in Foxp3+ T cells, suggesting that Foxp3 acts as both a transcriptional activator and repressor. Foxp3-mediated regulation unique to the thymus affects, among others, genes encoding nuclear factors that control gene expression and chromatin remodelling. In contrast, Foxp3 target genes shared by the thymic and peripheral T(R) cells encode primarily plasma membrane proteins, as well as cell signalling proteins. Together, our studies suggest that distinct transcriptional sub-programmes implemented by Foxp3 establish T(R) lineage during differentiation and its proliferative and functional competence in the periphery."}
{"STANDARD_NAME":"ZHENG_FOXP3_TARGETS_IN_T_LYMPHOCYTE_DN","SYSTEMATIC_NAME":"M1751","ORGANISM":"Mus musculus","PMID":"17237761","AUTHORS":"Zheng Y,Josefowicz SZ,Kas A,Chu TT,Gavin MA,Rudensky AY","EXACT_SOURCE":"Table 3S: periphery only","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with promoters bound by FOXP3 [GeneID=50943] and which are down-regulated only in mature (peripheral blood) regulatory CD4+ [GeneID=920] T lymphocytes.","DESCRIPTION_FULL":"Transcription factor Foxp3 (forkhead box P3), restricted in its expression to a specialized regulatory CD4+ T-cell subset (T(R)) with a dedicated suppressor function, controls T(R) lineage development. In humans and mice, Foxp3 deficiency results in a paucity of T(R) cells and a fatal breach in immunological tolerance, causing highly aggressive multi-organ autoimmune pathology. Here, through genome-wide analysis combining chromatin immunoprecipitation with mouse genome tiling array profiling, we identify Foxp3 binding regions for approximately 700 genes and for an intergenically encoded microRNA. We find that a large number of Foxp3-bound genes are up- or downregulated in Foxp3+ T cells, suggesting that Foxp3 acts as both a transcriptional activator and repressor. Foxp3-mediated regulation unique to the thymus affects, among others, genes encoding nuclear factors that control gene expression and chromatin remodelling. In contrast, Foxp3 target genes shared by the thymic and peripheral T(R) cells encode primarily plasma membrane proteins, as well as cell signalling proteins. Together, our studies suggest that distinct transcriptional sub-programmes implemented by Foxp3 establish T(R) lineage during differentiation and its proliferative and functional competence in the periphery."}
{"STANDARD_NAME":"ZHENG_FOXP3_TARGETS_DN","SYSTEMATIC_NAME":"M1754","ORGANISM":"Mus musculus","PMID":"17237761","AUTHORS":"Zheng Y,Josefowicz SZ,Kas A,Chu TT,Gavin MA,Rudensky AY","EXACT_SOURCE":"Table 3S: thymus and periphery","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with promoters bound by FOXP3 [GeneID=50943] and which are down-regulated both in developing (located in the thymus) and mature (from peripheral blood) regulatory CD4+ [GeneID=920] T lymphocytes.","DESCRIPTION_FULL":"Transcription factor Foxp3 (forkhead box P3), restricted in its expression to a specialized regulatory CD4+ T-cell subset (T(R)) with a dedicated suppressor function, controls T(R) lineage development. In humans and mice, Foxp3 deficiency results in a paucity of T(R) cells and a fatal breach in immunological tolerance, causing highly aggressive multi-organ autoimmune pathology. Here, through genome-wide analysis combining chromatin immunoprecipitation with mouse genome tiling array profiling, we identify Foxp3 binding regions for approximately 700 genes and for an intergenically encoded microRNA. We find that a large number of Foxp3-bound genes are up- or downregulated in Foxp3+ T cells, suggesting that Foxp3 acts as both a transcriptional activator and repressor. Foxp3-mediated regulation unique to the thymus affects, among others, genes encoding nuclear factors that control gene expression and chromatin remodelling. In contrast, Foxp3 target genes shared by the thymic and peripheral T(R) cells encode primarily plasma membrane proteins, as well as cell signalling proteins. Together, our studies suggest that distinct transcriptional sub-programmes implemented by Foxp3 establish T(R) lineage during differentiation and its proliferative and functional competence in the periphery."}
{"STANDARD_NAME":"SANSOM_APC_TARGETS","SYSTEMATIC_NAME":"M1755","ORGANISM":"Mus musculus","PMID":"17377531","AUTHORS":"Sansom OJ,Meniel VS,Muncan V,Phesse TJ,Wilkins JA,Reed KR,Vass JK,Athineos D,Clevers H,Clarke AR","EXACT_SOURCE":"Table 1AS, 3AS","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated after Cre-lox knockout of APC [GeneID=324] in the small intestine.","DESCRIPTION_FULL":"The APC gene encodes the adenomatous polyposis coli tumour suppressor protein, germline mutation of which characterizes familial adenomatous polyposis (FAP), an autosomal intestinal cancer syndrome. Inactivation of APC is also recognized as the key early event in the development of sporadic colorectal cancers, and its loss results in constitutive activity of the beta-catenin-Tcf4 transcription complex. The proto-oncogene c-MYC has been identified as a target of the Wnt pathway in colorectal cancer cells in vitro, in normal crypts in vivo and in intestinal epithelial cells acutely transformed on in vivo deletion of the APC gene; however, the significance of this is unclear. Therefore, to elucidate the role Myc has in the intestine after Apc loss, we have simultaneously deleted both Apc and Myc in the adult murine small intestine. Here we show that loss of Myc rescued the phenotypes of perturbed differentiation, migration, proliferation and apoptosis, which occur on deletion of Apc. Remarkably, this rescue occurred in the presence of high levels of nuclear beta-catenin. Array analysis revealed that Myc is required for the majority of Wnt target gene activation following Apc loss. These data establish Myc as the critical mediator of the early stages of neoplasia following Apc loss."}
{"STANDARD_NAME":"SANSOM_APC_MYC_TARGETS","SYSTEMATIC_NAME":"M1756","ORGANISM":"Mus musculus","PMID":"17377531","AUTHORS":"Sansom OJ,Meniel VS,Muncan V,Phesse TJ,Wilkins JA,Reed KR,Vass JK,Athineos D,Clevers H,Clarke AR","EXACT_SOURCE":"Table 1BS, 3BS","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated after double Cre-lox knockout of both APC and MYC [GeneID=324;4609] in small intestine.","DESCRIPTION_FULL":"The APC gene encodes the adenomatous polyposis coli tumour suppressor protein, germline mutation of which characterizes familial adenomatous polyposis (FAP), an autosomal intestinal cancer syndrome. Inactivation of APC is also recognized as the key early event in the development of sporadic colorectal cancers, and its loss results in constitutive activity of the beta-catenin-Tcf4 transcription complex. The proto-oncogene c-MYC has been identified as a target of the Wnt pathway in colorectal cancer cells in vitro, in normal crypts in vivo and in intestinal epithelial cells acutely transformed on in vivo deletion of the APC gene; however, the significance of this is unclear. Therefore, to elucidate the role Myc has in the intestine after Apc loss, we have simultaneously deleted both Apc and Myc in the adult murine small intestine. Here we show that loss of Myc rescued the phenotypes of perturbed differentiation, migration, proliferation and apoptosis, which occur on deletion of Apc. Remarkably, this rescue occurred in the presence of high levels of nuclear beta-catenin. Array analysis revealed that Myc is required for the majority of Wnt target gene activation following Apc loss. These data establish Myc as the critical mediator of the early stages of neoplasia following Apc loss."}
{"STANDARD_NAME":"SANSOM_APC_TARGETS_REQUIRE_MYC","SYSTEMATIC_NAME":"M1757","ORGANISM":"Mus musculus","PMID":"17377531","AUTHORS":"Sansom OJ,Meniel VS,Muncan V,Phesse TJ,Wilkins JA,Reed KR,Vass JK,Athineos D,Clevers H,Clarke AR","EXACT_SOURCE":"Table 2S","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated after Cre-lox knockout of APC [GeneID=324] in the small intestine that require functional MYC [GeneID=4609].","DESCRIPTION_FULL":"The APC gene encodes the adenomatous polyposis coli tumour suppressor protein, germline mutation of which characterizes familial adenomatous polyposis (FAP), an autosomal intestinal cancer syndrome. Inactivation of APC is also recognized as the key early event in the development of sporadic colorectal cancers, and its loss results in constitutive activity of the beta-catenin-Tcf4 transcription complex. The proto-oncogene c-MYC has been identified as a target of the Wnt pathway in colorectal cancer cells in vitro, in normal crypts in vivo and in intestinal epithelial cells acutely transformed on in vivo deletion of the APC gene; however, the significance of this is unclear. Therefore, to elucidate the role Myc has in the intestine after Apc loss, we have simultaneously deleted both Apc and Myc in the adult murine small intestine. Here we show that loss of Myc rescued the phenotypes of perturbed differentiation, migration, proliferation and apoptosis, which occur on deletion of Apc. Remarkably, this rescue occurred in the presence of high levels of nuclear beta-catenin. Array analysis revealed that Myc is required for the majority of Wnt target gene activation following Apc loss. These data establish Myc as the critical mediator of the early stages of neoplasia following Apc loss."}
{"STANDARD_NAME":"SANSOM_WNT_PATHWAY_REQUIRE_MYC","SYSTEMATIC_NAME":"M1758","ORGANISM":"Mus musculus","PMID":"17377531","AUTHORS":"Sansom OJ,Meniel VS,Muncan V,Phesse TJ,Wilkins JA,Reed KR,Vass JK,Athineos D,Clevers H,Clarke AR","EXACT_SOURCE":"Table 4S","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Wnt target genes up-regulated after Cre-lox knockout of APC [GeneID=324] in the small intestine that require functional MYC [GeneID=4609].","DESCRIPTION_FULL":"The APC gene encodes the adenomatous polyposis coli tumour suppressor protein, germline mutation of which characterizes familial adenomatous polyposis (FAP), an autosomal intestinal cancer syndrome. Inactivation of APC is also recognized as the key early event in the development of sporadic colorectal cancers, and its loss results in constitutive activity of the beta-catenin-Tcf4 transcription complex. The proto-oncogene c-MYC has been identified as a target of the Wnt pathway in colorectal cancer cells in vitro, in normal crypts in vivo and in intestinal epithelial cells acutely transformed on in vivo deletion of the APC gene; however, the significance of this is unclear. Therefore, to elucidate the role Myc has in the intestine after Apc loss, we have simultaneously deleted both Apc and Myc in the adult murine small intestine. Here we show that loss of Myc rescued the phenotypes of perturbed differentiation, migration, proliferation and apoptosis, which occur on deletion of Apc. Remarkably, this rescue occurred in the presence of high levels of nuclear beta-catenin. Array analysis revealed that Myc is required for the majority of Wnt target gene activation following Apc loss. These data establish Myc as the critical mediator of the early stages of neoplasia following Apc loss."}
{"STANDARD_NAME":"RIGGINS_TAMOXIFEN_RESISTANCE_UP","SYSTEMATIC_NAME":"M17487","ORGANISM":"Homo sapiens","PMID":"18974135","AUTHORS":"Riggins RB,Lan JP,Klimach U,Zwart A,Cavalli LR,Haddad BR,Chen L,Gong T,Xuan J,Ethier SP,Clarke R","GEOID":"GSE12708","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated SUM44/LCCTam cells (breast cancer) resistant to 4-hydroxytamoxifen [PubChem=63062] relative to the parental SUM44 cells sensitive to the drug.","DESCRIPTION_FULL":"One-third of all estrogen receptor (ER)-positive breast tumors treated with endocrine therapy fail to respond, and the remainder is likely to relapse in the future. Almost all data on endocrine resistance has been obtained in models of invasive ductal carcinoma (IDC). However, invasive lobular carcinomas (ILC) comprise up to 15% of newly diagnosed invasive breast cancers each year and, whereas the incidence of IDC has remained relatively constant during the last 20 years, the prevalence of ILC continues to increase among postmenopausal women. We report a new model of Tamoxifen (TAM)-resistant invasive lobular breast carcinoma cells that provides novel insights into the molecular mechanisms of endocrine resistance. SUM44 cells express ER and are sensitive to the growth inhibitory effects of antiestrogens. Selection for resistance to 4-hydroxytamoxifen led to the development of the SUM44/LCCTam cell line, which exhibits decreased expression of ERalpha and increased expression of the estrogen-related receptor gamma (ERRgamma). Knockdown of ERRgamma in SUM44/LCCTam cells by siRNA restores TAM sensitivity, and overexpression of ERRgamma blocks the growth-inhibitory effects of TAM in SUM44 and MDA-MB-134 VI lobular breast cancer cells. ERRgamma-driven transcription is also increased in SUM44/LCCTam, and inhibition of activator protein 1 (AP1) can restore or enhance TAM sensitivity. These data support a role for ERRgamma/AP1 signaling in the development of TAM resistance and suggest that expression of ERRgamma may be a marker of poor TAM response."}
{"STANDARD_NAME":"NIKOLSKY_OVERCONNECTED_IN_BREAST_CANCER","SYSTEMATIC_NAME":"M10991","ORGANISM":"Homo sapiens","PMID":"19010930","AUTHORS":"Nikolsky Y,Sviridov E,Yao J,Dosymbekov D,Ustyansky V,Kaznacheev V,Dezso Z,Mulvey L,Macconaill LE,Winckler W,Serebryiskaya T,Nikolskaya T,Polyak K","EXACT_SOURCE":"Table 4S","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Overconnected mutated transcription factors regulating genes within the breast cancer amplicome.","DESCRIPTION_FULL":"A single cancer cell contains large numbers of genetic alterations that in combination create the malignant phenotype. However, whether amplified and mutated genes form functional and physical interaction networks that could explain the selection for cells with combined alterations is unknown. To investigate this issue, we characterized copy number alterations in 191 breast tumors using dense single nucleotide polymorphism arrays and identified 1,747 genes with copy number gain organized into 30 amplicons. Amplicons were distributed unequally throughout the genome. Each amplicon had distinct enrichment pattern in pathways, networks, and molecular functions, but genes within individual amplicons did not form coherent functional units. Genes in amplicons included all major tumorigenic pathways and were highly enriched in breast cancer-causative genes. In contrast, 1,188 genes with somatic mutations in breast cancer were distributed randomly over the genome, did not represent a functionally cohesive gene set, and were relatively less enriched in breast cancer marker genes. Mutated and gained genes did not show statistically significant overlap but were highly synergistic in populating key tumorigenic pathways including transforming growth factor beta, WNT, fibroblast growth factor, and PIP3 signaling. In general, mutated genes were more frequently upstream of gained genes in transcription regulation signaling than vice versa, suggesting that mutated genes are mainly regulators, whereas gained genes are mostly regulated. ESR1 was the major transcription factor regulating amplified but not mutated genes. Our results support the hypothesis that multiple genetic events, including copy number gains and somatic mutations, are necessary for establishing the malignant cell phenotype."}
{"STANDARD_NAME":"WANG_LSD1_TARGETS_UP","SYSTEMATIC_NAME":"M1759","ORGANISM":"Mus musculus","PMID":"17392792","AUTHORS":"Wang J,Scully K,Zhu X,Cai L,Zhang J,Prefontaine GG,Krones A,Ohgi KA,Zhu P,Garcia-Bassets I,Liu F,Taylor H,Lozach J,Jayes FL,Korach KS,Glass CK,Fu XD,Rosenfeld MG","EXACT_SOURCE":"Fig 4AS","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated after Cre-lox knockout of LSD1 [GeneID=23028] in pituitary.","DESCRIPTION_FULL":"Precise control of transcriptional programmes underlying metazoan development is modulated by enzymatically active co-regulatory complexes, coupled with epigenetic strategies. One thing that remains unclear is how specific members of histone modification enzyme families, such as histone methyltransferases and demethylases, are used in vivo to simultaneously orchestrate distinct developmental gene activation and repression programmes. Here, we report that the histone lysine demethylase, LSD1--a component of the CoREST-CtBP co-repressor complex--is required for late cell-lineage determination and differentiation during pituitary organogenesis. LSD1 seems to act primarily on target gene activation programmes, as well as in gene repression programmes, on the basis of recruitment of distinct LSD1-containing co-activator or co-repressor complexes. LSD1-dependent gene repression programmes can be extended late in development with the induced expression of ZEB1, a Krüppel-like repressor that can act as a molecular beacon for recruitment of the LSD1-containing CoREST-CtBP co-repressor complex, causing repression of an additional cohort of genes, such as Gh, which previously required LSD1 for activation. These findings suggest that temporal patterns of expression of specific components of LSD1 complexes modulate gene regulatory programmes in many mammalian organs."}
{"STANDARD_NAME":"WANG_LSD1_TARGETS_DN","SYSTEMATIC_NAME":"M1760","ORGANISM":"Mus musculus","PMID":"17392792","AUTHORS":"Wang J,Scully K,Zhu X,Cai L,Zhang J,Prefontaine GG,Krones A,Ohgi KA,Zhu P,Garcia-Bassets I,Liu F,Taylor H,Lozach J,Jayes FL,Korach KS,Glass CK,Fu XD,Rosenfeld MG","EXACT_SOURCE":"Fig 4AS","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated after Cre-lox knockout of LSD1 [GeneID=23028] in pituitary.","DESCRIPTION_FULL":"Precise control of transcriptional programmes underlying metazoan development is modulated by enzymatically active co-regulatory complexes, coupled with epigenetic strategies. One thing that remains unclear is how specific members of histone modification enzyme families, such as histone methyltransferases and demethylases, are used in vivo to simultaneously orchestrate distinct developmental gene activation and repression programmes. Here, we report that the histone lysine demethylase, LSD1--a component of the CoREST-CtBP co-repressor complex--is required for late cell-lineage determination and differentiation during pituitary organogenesis. LSD1 seems to act primarily on target gene activation programmes, as well as in gene repression programmes, on the basis of recruitment of distinct LSD1-containing co-activator or co-repressor complexes. LSD1-dependent gene repression programmes can be extended late in development with the induced expression of ZEB1, a Krüppel-like repressor that can act as a molecular beacon for recruitment of the LSD1-containing CoREST-CtBP co-repressor complex, causing repression of an additional cohort of genes, such as Gh, which previously required LSD1 for activation. These findings suggest that temporal patterns of expression of specific components of LSD1 complexes modulate gene regulatory programmes in many mammalian organs."}
{"STANDARD_NAME":"TESAR_ALK_AND_JAK_TARGETS_MOUSE_ES_D4_DN","SYSTEMATIC_NAME":"M1764","ORGANISM":"Mus musculus","PMID":"17597760","AUTHORS":"Tesar PJ,Chenoweth JG,Brook FA,Davies TJ,Evans EP,Mack DL,Gardner RL,McKay RD","GEOID":"GSE7902","EXACT_SOURCE":"Table 1S: mES d4 +SB431542 & JAK Inh.","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in mES cells (mouse embryonic stem cells) after tratment with the ALK [GeneID=238] inhibitor SB-431542 and JAK inhibitor I [PubChem=4521392;5494425].","DESCRIPTION_FULL":"The application of human embryonic stem (ES) cells in medicine and biology has an inherent reliance on understanding the starting cell population. Human ES cells differ from mouse ES cells and the specific embryonic origin of both cell types is unclear. Previous work suggested that mouse ES cells could only be obtained from the embryo before implantation in the uterus. Here we show that cell lines can be derived from the epiblast, a tissue of the post-implantation embryo that generates the embryo proper. These cells, which we refer to as EpiSCs (post-implantation epiblast-derived stem cells), express transcription factors known to regulate pluripotency, maintain their genomic integrity, and robustly differentiate into the major somatic cell types as well as primordial germ cells. The EpiSC lines are distinct from mouse ES cells in their epigenetic state and the signals controlling their differentiation. Furthermore, EpiSC and human ES cells share patterns of gene expression and signalling responses that normally function in the epiblast. These results show that epiblast cells can be maintained as stable cell lines and interrogated to understand how pluripotent cells generate distinct fates during early development."}
{"STANDARD_NAME":"TESAR_JAK_TARGETS_MOUSE_ES_D3_DN","SYSTEMATIC_NAME":"M1766","ORGANISM":"Mus musculus","PMID":"17597760","AUTHORS":"Tesar PJ,Chenoweth JG,Brook FA,Davies TJ,Evans EP,Mack DL,Gardner RL,McKay RD","GEOID":"GSE7902","EXACT_SOURCE":"Table 1S: mES d3 +JAK Inh.","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in mES cells (mouse embryonic stem cells) after tratment with JAK inhibitor I [PubChem=5494425].","DESCRIPTION_FULL":"The application of human embryonic stem (ES) cells in medicine and biology has an inherent reliance on understanding the starting cell population. Human ES cells differ from mouse ES cells and the specific embryonic origin of both cell types is unclear. Previous work suggested that mouse ES cells could only be obtained from the embryo before implantation in the uterus. Here we show that cell lines can be derived from the epiblast, a tissue of the post-implantation embryo that generates the embryo proper. These cells, which we refer to as EpiSCs (post-implantation epiblast-derived stem cells), express transcription factors known to regulate pluripotency, maintain their genomic integrity, and robustly differentiate into the major somatic cell types as well as primordial germ cells. The EpiSC lines are distinct from mouse ES cells in their epigenetic state and the signals controlling their differentiation. Furthermore, EpiSC and human ES cells share patterns of gene expression and signalling responses that normally function in the epiblast. These results show that epiblast cells can be maintained as stable cell lines and interrogated to understand how pluripotent cells generate distinct fates during early development."}
{"STANDARD_NAME":"JI_CARCINOGENESIS_BY_KRAS_AND_STK11_UP","SYSTEMATIC_NAME":"M1769","ORGANISM":"Mus musculus","PMID":"17676035","AUTHORS":"Ji H,Ramsey MR,Hayes DN,Fan C,McNamara K,Kozlowski P,Torrice C,Wu MC,Shimamura T,Perera SA,Liang MC,Cai D,Naumov GN,Bao L,Contreras CM,Li D,Chen L,Krishnamurthy J,Koivunen J,Chirieac LR,Padera RF,Bronson RT,Lindeman NI,Christiani DC,Lin X,Shapiro GI,Jänne PA,Johnson BE,Meyerson M,Kwiatkowski DJ,Castrillon DH,Bardeesy N,Sharpless NE,Wong KK","GEOID":"GSE6135","EXACT_SOURCE":"Fig 5S: Cluster A","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster A: genes up-regulated in primary lung tumors driven by KRAS [GeneID=3845] activation and loss of STK11 [GeneID=6794]; also up-regulated in human squamous cell carcinoma (SCC) vs adenocarcinoma subtype of NSCLC (non-small cell lung cancer).","DESCRIPTION_FULL":"Germline mutation in serine/threonine kinase 11 (STK11, also called LKB1) results in Peutz-Jeghers syndrome, characterized by intestinal hamartomas and increased incidence of epithelial cancers. Although uncommon in most sporadic cancers, inactivating somatic mutations of LKB1 have been reported in primary human lung adenocarcinomas and derivative cell lines. Here we used a somatically activatable mutant Kras-driven model of mouse lung cancer to compare the role of Lkb1 to other tumour suppressors in lung cancer. Although Kras mutation cooperated with loss of p53 or Ink4a/Arf (also known as Cdkn2a) in this system, the strongest cooperation was seen with homozygous inactivation of Lkb1. Lkb1-deficient tumours demonstrated shorter latency, an expanded histological spectrum (adeno-, squamous and large-cell carcinoma) and more frequent metastasis compared to tumours lacking p53 or Ink4a/Arf. Pulmonary tumorigenesis was also accelerated by hemizygous inactivation of Lkb1. Consistent with these findings, inactivation of LKB1 was found in 34% and 19% of 144 analysed human lung adenocarcinomas and squamous cell carcinomas, respectively. Expression profiling in human lung cancer cell lines and mouse lung tumours identified a variety of metastasis-promoting genes, such as NEDD9, VEGFC and CD24, as targets of LKB1 repression in lung cancer. These studies establish LKB1 as a critical barrier to pulmonary tumorigenesis, controlling initiation, differentiation and metastasis."}
{"STANDARD_NAME":"GAZIN_EPIGENETIC_SILENCING_BY_KRAS","SYSTEMATIC_NAME":"M1770","ORGANISM":"Mus musculus","PMID":"17960246","AUTHORS":"Gazin C,Wajapeyee N,Gobeil S,Virbasius CM,Green MR","EXACT_SOURCE":"Table 1","CHIP":"Mouse_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes required for epigenetic silencing of FAS [GeneID=355] by activated KRAS [GeneID=3845] in NIH 3T3 cells, based on RNAi screen.","DESCRIPTION_FULL":"The conversion of a normal cell to a cancer cell occurs in several steps and typically involves the activation of oncogenes and the inactivation of tumour suppressor and pro-apoptotic genes. In many instances, inactivation of genes critical for cancer development occurs by epigenetic silencing, often involving hypermethylation of CpG-rich promoter regions. It remains to be determined whether silencing occurs by random acquisition of epigenetic marks that confer a selective growth advantage or through a specific pathway initiated by an oncogene. Here we perform a genome-wide RNA interference (RNAi) screen in K-ras-transformed NIH 3T3 cells and identify 28 genes required for Ras-mediated epigenetic silencing of the pro-apoptotic Fas gene. At least nine of these RESEs (Ras epigenetic silencing effectors), including the DNA methyltransferase DNMT1, are directly associated with specific regions of the Fas promoter in K-ras-transformed NIH 3T3 cells but not in untransformed NIH 3T3 cells. RNAi-mediated knockdown of any of the 28 RESEs results in failure to recruit DNMT1 to the Fas promoter, loss of Fas promoter hypermethylation, and derepression of Fas expression. Analysis of five other epigenetically repressed genes indicates that Ras directs the silencing of multiple unrelated genes through a largely common pathway. Last, we show that nine RESEs are required for anchorage-independent growth and tumorigenicity of K-ras-transformed NIH 3T3 cells; these nine genes have not previously been implicated in transformation by Ras. Our results show that Ras-mediated epigenetic silencing occurs through a specific, complex, pathway involving components that are required for maintenance of a fully transformed phenotype."}
{"STANDARD_NAME":"JEPSEN_SMRT_TARGETS","SYSTEMATIC_NAME":"M1773","ORGANISM":"Mus musculus","PMID":"17928865","AUTHORS":"Jepsen K,Solum D,Zhou T,McEvilly RJ,Kim HJ,Glass CK,Hermanson O,Rosenfeld MG","EXACT_SOURCE":"Fig 4S","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in neural progenitor cells (NPC) isolated from E13 cortical tissue of SMRT [GeneID=9612] knockout mice.","DESCRIPTION_FULL":"A series of transcription factors critical for maintenance of the neural stem cell state have been identified, but the role of functionally important corepressors in maintenance of the neural stem cell state and early neurogenesis remains unclear. Previous studies have characterized the expression of both SMRT (also known as NCoR2, nuclear receptor co-repressor 2) and NCoR in a variety of developmental systems; however, the specific role of the SMRT corepressor in neurogenesis is still to be determined. Here we report a critical role for SMRT in forebrain development and in maintenance of the neural stem cell state. Analysis of a series of markers in SMRT-gene-deleted mice revealed the functional requirement of SMRT in the actions of both retinoic-acid-dependent and Notch-dependent forebrain development. In isolated cortical progenitor cells, SMRT was critical for preventing retinoic-acid-receptor-dependent induction of differentiation along a neuronal pathway in the absence of any ligand. Our data reveal that SMRT represses expression of the jumonji-domain containing gene JMJD3, a direct retinoic-acid-receptor target that functions as a histone H3 trimethyl K27 demethylase and which is capable of activating specific components of the neurogenic program."}
{"STANDARD_NAME":"KYNG_DNA_DAMAGE_BY_4NQO","SYSTEMATIC_NAME":"M11361","ORGANISM":"Homo sapiens","PMID":"15897889","AUTHORS":"Kyng KJ,May A,Stevnsner T,Becker KG,Kølvrå S,Bohr VA","EXACT_SOURCE":"Suppl. Info 2: Table 5S: 4NQO only [C]","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes specifically responding to 4NQO treatment of primary fibroblasts.","DESCRIPTION_FULL":"The accumulation of DNA damage and mutations is considered a major cause of cancer and aging. While it is known that DNA damage can affect changes in gene expression, transcriptional regulation after DNA damage is poorly understood. We characterized the expression of 6912 genes in human primary fibroblasts after exposure to three different kinds of cellular stress that introduces DNA damage: 4-nitroquinoline-1-oxide (4NQO), gamma-irradiation, or UV-irradiation. Each type of stress elicited damage specific gene expression changes of up to 10-fold. A total of 85 genes had similar changes in expression of 3-40-fold after all three kinds of stress. We examined transcription in cells from young and old individuals and from patients with Werner syndrome (WS), a segmental progeroid condition with a high incidence of cancer, and found various age-associated transcriptional changes depending upon the type of cellular stress. Compared to young individuals, both WS and old individuals had similarly aberrant transcriptional responses to gamma- and UV-irradiation, suggesting a role for Werner protein in stress-induced gene expression. Our results suggest that aberrant DNA damage-induced gene regulation may contribute to the aging process and the premature aging in WS."}
{"STANDARD_NAME":"KYNG_DNA_DAMAGE_BY_GAMMA_RADIATION","SYSTEMATIC_NAME":"M12971","ORGANISM":"Homo sapiens","PMID":"15897889","AUTHORS":"Kyng KJ,May A,Stevnsner T,Becker KG,Kølvrå S,Bohr VA","EXACT_SOURCE":"Suppl. Info 2: Table 5S: Gamma only [D]","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes specifically responding to gamma radiation.","DESCRIPTION_FULL":"The accumulation of DNA damage and mutations is considered a major cause of cancer and aging. While it is known that DNA damage can affect changes in gene expression, transcriptional regulation after DNA damage is poorly understood. We characterized the expression of 6912 genes in human primary fibroblasts after exposure to three different kinds of cellular stress that introduces DNA damage: 4-nitroquinoline-1-oxide (4NQO), gamma-irradiation, or UV-irradiation. Each type of stress elicited damage specific gene expression changes of up to 10-fold. A total of 85 genes had similar changes in expression of 3-40-fold after all three kinds of stress. We examined transcription in cells from young and old individuals and from patients with Werner syndrome (WS), a segmental progeroid condition with a high incidence of cancer, and found various age-associated transcriptional changes depending upon the type of cellular stress. Compared to young individuals, both WS and old individuals had similarly aberrant transcriptional responses to gamma- and UV-irradiation, suggesting a role for Werner protein in stress-induced gene expression. Our results suggest that aberrant DNA damage-induced gene regulation may contribute to the aging process and the premature aging in WS."}
{"STANDARD_NAME":"KYNG_DNA_DAMAGE_BY_UV","SYSTEMATIC_NAME":"M17866","ORGANISM":"Homo sapiens","PMID":"15897889","AUTHORS":"Kyng KJ,May A,Stevnsner T,Becker KG,Kølvrå S,Bohr VA","EXACT_SOURCE":"Suppl. Info 2: Table 5S: UV only [E]","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"UV only responding genes in primary fibroblasts from young donors.","DESCRIPTION_FULL":"The accumulation of DNA damage and mutations is considered a major cause of cancer and aging. While it is known that DNA damage can affect changes in gene expression, transcriptional regulation after DNA damage is poorly understood. We characterized the expression of 6912 genes in human primary fibroblasts after exposure to three different kinds of cellular stress that introduces DNA damage: 4-nitroquinoline-1-oxide (4NQO), gamma-irradiation, or UV-irradiation. Each type of stress elicited damage specific gene expression changes of up to 10-fold. A total of 85 genes had similar changes in expression of 3-40-fold after all three kinds of stress. We examined transcription in cells from young and old individuals and from patients with Werner syndrome (WS), a segmental progeroid condition with a high incidence of cancer, and found various age-associated transcriptional changes depending upon the type of cellular stress. Compared to young individuals, both WS and old individuals had similarly aberrant transcriptional responses to gamma- and UV-irradiation, suggesting a role for Werner protein in stress-induced gene expression. Our results suggest that aberrant DNA damage-induced gene regulation may contribute to the aging process and the premature aging in WS."}
{"STANDARD_NAME":"KYNG_DNA_DAMAGE_BY_4NQO_OR_UV","SYSTEMATIC_NAME":"M1816","ORGANISM":"Homo sapiens","PMID":"15897889","AUTHORS":"Kyng KJ,May A,Stevnsner T,Becker KG,Kølvrå S,Bohr VA","EXACT_SOURCE":"Suppl. Info 2: Table 5S: 4NQO and UV [G]","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"4NQO treatment and UV irradiation responding genes.","DESCRIPTION_FULL":"The accumulation of DNA damage and mutations is considered a major cause of cancer and aging. While it is known that DNA damage can affect changes in gene expression, transcriptional regulation after DNA damage is poorly understood. We characterized the expression of 6912 genes in human primary fibroblasts after exposure to three different kinds of cellular stress that introduces DNA damage: 4-nitroquinoline-1-oxide (4NQO), gamma-irradiation, or UV-irradiation. Each type of stress elicited damage specific gene expression changes of up to 10-fold. A total of 85 genes had similar changes in expression of 3-40-fold after all three kinds of stress. We examined transcription in cells from young and old individuals and from patients with Werner syndrome (WS), a segmental progeroid condition with a high incidence of cancer, and found various age-associated transcriptional changes depending upon the type of cellular stress. Compared to young individuals, both WS and old individuals had similarly aberrant transcriptional responses to gamma- and UV-irradiation, suggesting a role for Werner protein in stress-induced gene expression. Our results suggest that aberrant DNA damage-induced gene regulation may contribute to the aging process and the premature aging in WS"}
{"STANDARD_NAME":"KYNG_DNA_DAMAGE_BY_GAMMA_AND_UV_RADIATION","SYSTEMATIC_NAME":"M2540","ORGANISM":"Homo sapiens","PMID":"15897889","AUTHORS":"Kyng KJ,May A,Stevnsner T,Becker KG,Kølvrå S,Bohr VA","EXACT_SOURCE":"Suppl. Info 2: Table 5S: Gamma and UV [H]","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Gamma and UV responding genes.","DESCRIPTION_FULL":"The accumulation of DNA damage and mutations is considered a major cause of cancer and aging. While it is known that DNA damage can affect changes in gene expression, transcriptional regulation after DNA damage is poorly understood. We characterized the expression of 6912 genes in human primary fibroblasts after exposure to three different kinds of cellular stress that introduces DNA damage: 4-nitroquinoline-1-oxide (4NQO), gamma-irradiation, or UV-irradiation. Each type of stress elicited damage specific gene expression changes of up to 10-fold. A total of 85 genes had similar changes in expression of 3-40-fold after all three kinds of stress. We examined transcription in cells from young and old individuals and from patients with Werner syndrome (WS), a segmental progeroid condition with a high incidence of cancer, and found various age-associated transcriptional changes depending upon the type of cellular stress. Compared to young individuals, both WS and old individuals had similarly aberrant transcriptional responses to gamma- and UV-irradiation, suggesting a role for Werner protein in stress-induced gene expression. Our results suggest that aberrant DNA damage-induced gene regulation may contribute to the aging process and the premature aging in WS"}
{"STANDARD_NAME":"KYNG_ENVIRONMENTAL_STRESS_RESPONSE_NOT_BY_4NQO_IN_OLD","SYSTEMATIC_NAME":"M1895","ORGANISM":"Homo sapiens","PMID":"15897889","AUTHORS":"Kyng KJ,May A,Stevnsner T,Becker KG,Kølvrå S,Bohr VA","EXACT_SOURCE":"Suppl. Info 3: Table 4S: H-ESR.4NQO.not old","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Human environmental etress response genes not changed in primary fibroblasts from old donors in response to 4NQO treatment.","DESCRIPTION_FULL":"The accumulation of DNA damage and mutations is considered a major cause of cancer and aging. While it is known that DNA damage can affect changes in gene expression, transcriptional regulation after DNA damage is poorly understood. We characterized the expression of 6912 genes in human primary fibroblasts after exposure to three different kinds of cellular stress that introduces DNA damage: 4-nitroquinoline-1-oxide (4NQO), gamma-irradiation, or UV-irradiation. Each type of stress elicited damage specific gene expression changes of up to 10-fold. A total of 85 genes had similar changes in expression of 3-40-fold after all three kinds of stress. We examined transcription in cells from young and old individuals and from patients with Werner syndrome (WS), a segmental progeroid condition with a high incidence of cancer, and found various age-associated transcriptional changes depending upon the type of cellular stress. Compared to young individuals, both WS and old individuals had similarly aberrant transcriptional responses to gamma- and UV-irradiation, suggesting a role for Werner protein in stress-induced gene expression. Our results suggest that aberrant DNA damage-induced gene regulation may contribute to the aging process and the premature aging in WS."}
{"STANDARD_NAME":"KYNG_ENVIRONMENTAL_STRESS_RESPONSE_NOT_BY_4NQO_IN_WS","SYSTEMATIC_NAME":"M5040","ORGANISM":"Homo sapiens","PMID":"15897889","AUTHORS":"Kyng KJ,May A,Stevnsner T,Becker KG,Kølvrå S,Bohr VA","EXACT_SOURCE":"Suppl. Info 3: Table 4S: H-ESR.4NQO.Not WS","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Human environmental stress response genes not changed in primary fibroblasts from Wilmor syndrom (WS) patients in response to 4NQO treatment.","DESCRIPTION_FULL":"The accumulation of DNA damage and mutations is considered a major cause of cancer and aging. While it is known that DNA damage can affect changes in gene expression, transcriptional regulation after DNA damage is poorly understood. We characterized the expression of 6912 genes in human primary fibroblasts after exposure to three different kinds of cellular stress that introduces DNA damage: 4-nitroquinoline-1-oxide (4NQO), gamma-irradiation, or UV-irradiation. Each type of stress elicited damage specific gene expression changes of up to 10-fold. A total of 85 genes had similar changes in expression of 3-40-fold after all three kinds of stress. We examined transcription in cells from young and old individuals and from patients with Werner syndrome (WS), a segmental progeroid condition with a high incidence of cancer, and found various age-associated transcriptional changes depending upon the type of cellular stress. Compared to young individuals, both WS and old individuals had similarly aberrant transcriptional responses to gamma- and UV-irradiation, suggesting a role for Werner protein in stress-induced gene expression. Our results suggest that aberrant DNA damage-induced gene regulation may contribute to the aging process and the premature aging in WS."}
{"STANDARD_NAME":"KYNG_ENVIRONMENTAL_STRESS_RESPONSE_NOT_BY_GAMMA_IN_OLD","SYSTEMATIC_NAME":"M2503","ORGANISM":"Homo sapiens","PMID":"15897889","AUTHORS":"Kyng KJ,May A,Stevnsner T,Becker KG,Kølvrå S,Bohr VA","EXACT_SOURCE":"Suppl. Info 3: Table 4S: H-ESR.Gamma.not old","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Human environmental stress response (H-ESR) genes not changed in primary fibroblasts from old donors in response to gamma radiation.","DESCRIPTION_FULL":"The accumulation of DNA damage and mutations is considered a major cause of cancer and aging. While it is known that DNA damage can affect changes in gene expression, transcriptional regulation after DNA damage is poorly understood. We characterized the expression of 6912 genes in human primary fibroblasts after exposure to three different kinds of cellular stress that introduces DNA damage: 4-nitroquinoline-1-oxide (4NQO), gamma-irradiation, or UV-irradiation. Each type of stress elicited damage specific gene expression changes of up to 10-fold. A total of 85 genes had similar changes in expression of 3-40-fold after all three kinds of stress. We examined transcription in cells from young and old individuals and from patients with Werner syndrome (WS), a segmental progeroid condition with a high incidence of cancer, and found various age-associated transcriptional changes depending upon the type of cellular stress. Compared to young individuals, both WS and old individuals had similarly aberrant transcriptional responses to gamma- and UV-irradiation, suggesting a role for Werner protein in stress-induced gene expression. Our results suggest that aberrant DNA damage-induced gene regulation may contribute to the aging process and the premature aging in WS."}
{"STANDARD_NAME":"KYNG_ENVIRONMENTAL_STRESS_RESPONSE_NOT_BY_GAMMA_IN_WS","SYSTEMATIC_NAME":"M12458","ORGANISM":"Homo sapiens","PMID":"15897889","AUTHORS":"Kyng KJ,May A,Stevnsner T,Becker KG,Kølvrå S,Bohr VA","EXACT_SOURCE":"Suppl. Info 3: Table 4S: H-ESR.Gamma.not WS","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Human environmental stress response genes not changed in primary fibroblasts from Werner syndrom (WS) patients in response to gamma radiation.","DESCRIPTION_FULL":"The accumulation of DNA damage and mutations is considered a major cause of cancer and aging. While it is known that DNA damage can affect changes in gene expression, transcriptional regulation after DNA damage is poorly understood. We characterized the expression of 6912 genes in human primary fibroblasts after exposure to three different kinds of cellular stress that introduces DNA damage: 4-nitroquinoline-1-oxide (4NQO), gamma-irradiation, or UV-irradiation. Each type of stress elicited damage specific gene expression changes of up to 10-fold. A total of 85 genes had similar changes in expression of 3-40-fold after all three kinds of stress. We examined transcription in cells from young and old individuals and from patients with Werner syndrome (WS), a segmental progeroid condition with a high incidence of cancer, and found various age-associated transcriptional changes depending upon the type of cellular stress. Compared to young individuals, both WS and old individuals had similarly aberrant transcriptional responses to gamma- and UV-irradiation, suggesting a role for Werner protein in stress-induced gene expression. Our results suggest that aberrant DNA damage-induced gene regulation may contribute to the aging process and the premature aging in WS."}
{"STANDARD_NAME":"KYNG_ENVIRONMENTAL_STRESS_RESPONSE_NOT_BY_UV_IN_OLD","SYSTEMATIC_NAME":"M16409","ORGANISM":"Homo sapiens","PMID":"15897889","AUTHORS":"Kyng KJ,May A,Stevnsner T,Becker KG,Kølvrå S,Bohr VA","EXACT_SOURCE":"Suppl. Info 3: Table 4S: H-ESR.UV.not old","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Human environmental stress response genes not changed in primary fibroblasts from old donors in response to UV radiation.","DESCRIPTION_FULL":"The accumulation of DNA damage and mutations is considered a major cause of cancer and aging. While it is known that DNA damage can affect changes in gene expression, transcriptional regulation after DNA damage is poorly understood. We characterized the expression of 6912 genes in human primary fibroblasts after exposure to three different kinds of cellular stress that introduces DNA damage: 4-nitroquinoline-1-oxide (4NQO), gamma-irradiation, or UV-irradiation. Each type of stress elicited damage specific gene expression changes of up to 10-fold. A total of 85 genes had similar changes in expression of 3-40-fold after all three kinds of stress. We examined transcription in cells from young and old individuals and from patients with Werner syndrome (WS), a segmental progeroid condition with a high incidence of cancer, and found various age-associated transcriptional changes depending upon the type of cellular stress. Compared to young individuals, both WS and old individuals had similarly aberrant transcriptional responses to gamma- and UV-irradiation, suggesting a role for Werner protein in stress-induced gene expression. Our results suggest that aberrant DNA damage-induced gene regulation may contribute to the aging process and the premature aging in WS."}
{"STANDARD_NAME":"KYNG_ENVIRONMENTAL_STRESS_RESPONSE_NOT_BY_UV_IN_WS","SYSTEMATIC_NAME":"M19703","ORGANISM":"Homo sapiens","PMID":"15897889","AUTHORS":"Kyng KJ,May A,Stevnsner T,Becker KG,Kølvrå S,Bohr VA","EXACT_SOURCE":"Suppl. Info 3: Table 4S: H-ESR.UV.not WS","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Human environmental stress response genes not changed in primary fibroblasts from patients with Warner syndrom (WS) .","DESCRIPTION_FULL":"The accumulation of DNA damage and mutations is considered a major cause of cancer and aging. While it is known that DNA damage can affect changes in gene expression, transcriptional regulation after DNA damage is poorly understood. We characterized the expression of 6912 genes in human primary fibroblasts after exposure to three different kinds of cellular stress that introduces DNA damage: 4-nitroquinoline-1-oxide (4NQO), gamma-irradiation, or UV-irradiation. Each type of stress elicited damage specific gene expression changes of up to 10-fold. A total of 85 genes had similar changes in expression of 3-40-fold after all three kinds of stress. We examined transcription in cells from young and old individuals and from patients with Werner syndrome (WS), a segmental progeroid condition with a high incidence of cancer, and found various age-associated transcriptional changes depending upon the type of cellular stress. Compared to young individuals, both WS and old individuals had similarly aberrant transcriptional responses to gamma- and UV-irradiation, suggesting a role for Werner protein in stress-induced gene expression. Our results suggest that aberrant DNA damage-induced gene regulation may contribute to the aging process and the premature aging in WS."}
{"STANDARD_NAME":"KYNG_DNA_DAMAGE_DN","SYSTEMATIC_NAME":"M11350","ORGANISM":"Homo sapiens","PMID":"15897889","AUTHORS":"Kyng KJ,May A,Stevnsner T,Becker KG,Kølvrå S,Bohr VA","EXACT_SOURCE":"Suppl. Info 5: Table 1S_AL","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with GO annotation and down-regulated after DNA damage in cell lines from young donors.","DESCRIPTION_FULL":"The accumulation of DNA damage and mutations is considered a major cause of cancer and aging. While it is known that DNA damage can affect changes in gene expression, transcriptional regulation after DNA damage is poorly understood. We characterized the expression of 6912 genes in human primary fibroblasts after exposure to three different kinds of cellular stress that introduces DNA damage: 4-nitroquinoline-1-oxide (4NQO), gamma-irradiation, or UV-irradiation. Each type of stress elicited damage specific gene expression changes of up to 10-fold. A total of 85 genes had similar changes in expression of 3-40-fold after all three kinds of stress. We examined transcription in cells from young and old individuals and from patients with Werner syndrome (WS), a segmental progeroid condition with a high incidence of cancer, and found various age-associated transcriptional changes depending upon the type of cellular stress. Compared to young individuals, both WS and old individuals had similarly aberrant transcriptional responses to gamma- and UV-irradiation, suggesting a role for Werner protein in stress-induced gene expression. Our results suggest that aberrant DNA damage-induced gene regulation may contribute to the aging process and the premature aging in WS."}
{"STANDARD_NAME":"KYNG_DNA_DAMAGE_UP","SYSTEMATIC_NAME":"M3961","ORGANISM":"Homo sapiens","PMID":"15897889","AUTHORS":"Kyng KJ,May A,Stevnsner T,Becker KG,Kølvrå S,Bohr VA","EXACT_SOURCE":"Suppl. Info 5: Table 1S_AL","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with GO annotation and up-regulated after DNA damage in cell lines from young donors.","DESCRIPTION_FULL":"The accumulation of DNA damage and mutations is considered a major cause of cancer and aging. While it is known that DNA damage can affect changes in gene expression, transcriptional regulation after DNA damage is poorly understood. We characterized the expression of 6912 genes in human primary fibroblasts after exposure to three different kinds of cellular stress that introduces DNA damage: 4-nitroquinoline-1-oxide (4NQO), gamma-irradiation, or UV-irradiation. Each type of stress elicited damage specific gene expression changes of up to 10-fold. A total of 85 genes had similar changes in expression of 3-40-fold after all three kinds of stress. We examined transcription in cells from young and old individuals and from patients with Werner syndrome (WS), a segmental progeroid condition with a high incidence of cancer, and found various age-associated transcriptional changes depending upon the type of cellular stress. Compared to young individuals, both WS and old individuals had similarly aberrant transcriptional responses to gamma- and UV-irradiation, suggesting a role for Werner protein in stress-induced gene expression. Our results suggest that aberrant DNA damage-induced gene regulation may contribute to the aging process and the premature aging in WS."}
{"STANDARD_NAME":"KYNG_ENVIRONMENTAL_STRESS_RESPONSE_UP","SYSTEMATIC_NAME":"M14365","ORGANISM":"Homo sapiens","PMID":"15897889","AUTHORS":"Kyng KJ,May A,Stevnsner T,Becker KG,Kølvrå S,Bohr VA","EXACT_SOURCE":"Suppl. Info 4: Table 2S","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"All common up-regulated stress response genes (Human Environmental Stress Response, H-ESR).","DESCRIPTION_FULL":"The accumulation of DNA damage and mutations is considered a major cause of cancer and aging. While it is known that DNA damage can affect changes in gene expression, transcriptional regulation after DNA damage is poorly understood. We characterized the expression of 6912 genes in human primary fibroblasts after exposure to three different kinds of cellular stress that introduces DNA damage: 4-nitroquinoline-1-oxide (4NQO), gamma-irradiation, or UV-irradiation. Each type of stress elicited damage specific gene expression changes of up to 10-fold. A total of 85 genes had similar changes in expression of 3-40-fold after all three kinds of stress. We examined transcription in cells from young and old individuals and from patients with Werner syndrome (WS), a segmental progeroid condition with a high incidence of cancer, and found various age-associated transcriptional changes depending upon the type of cellular stress. Compared to young individuals, both WS and old individuals had similarly aberrant transcriptional responses to gamma- and UV-irradiation, suggesting a role for Werner protein in stress-induced gene expression. Our results suggest that aberrant DNA damage-induced gene regulation may contribute to the aging process and the premature aging in WS."}
{"STANDARD_NAME":"KYNG_ENVIRONMENTAL_STRESS_RESPONSE_DN","SYSTEMATIC_NAME":"M1776","ORGANISM":"Homo sapiens","PMID":"15897889","AUTHORS":"Kyng KJ,May A,Stevnsner T,Becker KG,Kølvrå S,Bohr VA","EXACT_SOURCE":"Suppl. Info 4: Table 2S","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"All common down-regulated stress response genes (Human Environmental Stress Response, H-ESR).","DESCRIPTION_FULL":"The accumulation of DNA damage and mutations is considered a major cause of cancer and aging. While it is known that DNA damage can affect changes in gene expression, transcriptional regulation after DNA damage is poorly understood. We characterized the expression of 6912 genes in human primary fibroblasts after exposure to three different kinds of cellular stress that introduces DNA damage: 4-nitroquinoline-1-oxide (4NQO), gamma-irradiation, or UV-irradiation. Each type of stress elicited damage specific gene expression changes of up to 10-fold. A total of 85 genes had similar changes in expression of 3-40-fold after all three kinds of stress. We examined transcription in cells from young and old individuals and from patients with Werner syndrome (WS), a segmental progeroid condition with a high incidence of cancer, and found various age-associated transcriptional changes depending upon the type of cellular stress. Compared to young individuals, both WS and old individuals had similarly aberrant transcriptional responses to gamma- and UV-irradiation, suggesting a role for Werner protein in stress-induced gene expression. Our results suggest that aberrant DNA damage-induced gene regulation may contribute to the aging process and the premature aging in WS."}
{"STANDARD_NAME":"KONDO_PROSTATE_CANCER_HCP_WITH_H3K27ME3","SYSTEMATIC_NAME":"M16734","ORGANISM":"Homo sapiens","PMID":"18488029","AUTHORS":"Kondo Y,Shen L,Cheng AS,Ahmed S,Boumber Y,Charo C,Yamochi T,Urano T,Furukawa K,Kwabi-Addo B,Gold DL,Sekido Y,Huang TH,Issa JP","EXACT_SOURCE":"Table 1S: H3K27me3 in PC3","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with high histone H3 trimethylation mark at K27 (H3K27me3) in PC3 cells (prostate cancer) by ChIP-chip assay on a 12K CpG array (high-CpG-density promoters, HCP).","DESCRIPTION_FULL":"Epigenetic silencing in cancer cells is mediated by at least two distinct histone modifications, polycomb-based histone H3 lysine 27 trimethylation (H3K27triM) and H3K9 dimethylation. The relationship between DNA hypermethylation and these histone modifications is not completely understood. Using chromatin immunoprecipitation microarrays (ChIP-chip) in prostate cancer cells compared to normal prostate, we found that up to 5% of promoters (16% CpG islands and 84% non-CpG islands) were enriched with H3K27triM. These genes were silenced specifically in prostate cancer, and those CpG islands affected showed low levels of DNA methylation. Downregulation of the EZH2 histone methyltransferase restored expression of the H3K27triM target genes alone or in synergy with histone deacetylase inhibition, without affecting promoter DNA methylation, and with no effect on the expression of genes silenced by DNA hypermethylation. These data establish EZH2-mediated H3K27triM as a mechanism of tumor-suppressor gene silencing in cancer that is potentially independent of promoter DNA methylation."}
{"STANDARD_NAME":"KONDO_PROSTATE_CANCER_WITH_H3K27ME3","SYSTEMATIC_NAME":"M7281","ORGANISM":"Homo sapiens","PMID":"18488029","AUTHORS":"Kondo Y,Shen L,Cheng AS,Ahmed S,Boumber Y,Charo C,Yamochi T,Urano T,Furukawa K,Kwabi-Addo B,Gold DL,Sekido Y,Huang TH,Issa JP","GEOID":"E-MEXP-1585","EXACT_SOURCE":"Table 2S: PC3","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top 200 genes with high histone H3 trimethylation mark at K27 (H3K27me3) in PC3 cells (prostate cancer), by ChIP-chip assay on an 88K microarray (all promoters).","DESCRIPTION_FULL":"Epigenetic silencing in cancer cells is mediated by at least two distinct histone modifications, polycomb-based histone H3 lysine 27 trimethylation (H3K27triM) and H3K9 dimethylation. The relationship between DNA hypermethylation and these histone modifications is not completely understood. Using chromatin immunoprecipitation microarrays (ChIP-chip) in prostate cancer cells compared to normal prostate, we found that up to 5% of promoters (16% CpG islands and 84% non-CpG islands) were enriched with H3K27triM. These genes were silenced specifically in prostate cancer, and those CpG islands affected showed low levels of DNA methylation. Downregulation of the EZH2 histone methyltransferase restored expression of the H3K27triM target genes alone or in synergy with histone deacetylase inhibition, without affecting promoter DNA methylation, and with no effect on the expression of genes silenced by DNA hypermethylation. These data establish EZH2-mediated H3K27triM as a mechanism of tumor-suppressor gene silencing in cancer that is potentially independent of promoter DNA methylation."}
{"STANDARD_NAME":"KONDO_COLON_CANCER_HCP_WITH_H3K27ME1","SYSTEMATIC_NAME":"M13354","ORGANISM":"Homo sapiens","PMID":"18488029","AUTHORS":"Kondo Y,Shen L,Cheng AS,Ahmed S,Boumber Y,Charo C,Yamochi T,Urano T,Furukawa K,Kwabi-Addo B,Gold DL,Sekido Y,Huang TH,Issa JP","EXACT_SOURCE":"Table 3S: H3K27me1 in SW48","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with high levels of histone H3 monomethylation mark at K27 (H3K27me1) in SW48 cells (colon cancer) by ChIP-chip assay on a 12K CpG array (CpG promoters only, HCP=high-CpG-density promoters).","DESCRIPTION_FULL":"Epigenetic silencing in cancer cells is mediated by at least two distinct histone modifications, polycomb-based histone H3 lysine 27 trimethylation (H3K27triM) and H3K9 dimethylation. The relationship between DNA hypermethylation and these histone modifications is not completely understood. Using chromatin immunoprecipitation microarrays (ChIP-chip) in prostate cancer cells compared to normal prostate, we found that up to 5% of promoters (16% CpG islands and 84% non-CpG islands) were enriched with H3K27triM. These genes were silenced specifically in prostate cancer, and those CpG islands affected showed low levels of DNA methylation. Downregulation of the EZH2 histone methyltransferase restored expression of the H3K27triM target genes alone or in synergy with histone deacetylase inhibition, without affecting promoter DNA methylation, and with no effect on the expression of genes silenced by DNA hypermethylation. These data establish EZH2-mediated H3K27triM as a mechanism of tumor-suppressor gene silencing in cancer that is potentially independent of promoter DNA methylation."}
{"STANDARD_NAME":"KONDO_COLON_CANCER_HCP_WITH_H3K27ME3","SYSTEMATIC_NAME":"M697","ORGANISM":"Homo sapiens","PMID":"18488029","AUTHORS":"Kondo Y,Shen L,Cheng AS,Ahmed S,Boumber Y,Charo C,Yamochi T,Urano T,Furukawa K,Kwabi-Addo B,Gold DL,Sekido Y,Huang TH,Issa JP","EXACT_SOURCE":"Table 3S: H3K27me3 in SW48","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with high histone H3 tri-methylation mark at K27 (H3K27me3) in SW48 cells (colon cancer), by ChIP-chip assay on a 12K CpG array (high-CpG-density promoters, HCP).","DESCRIPTION_FULL":"Epigenetic silencing in cancer cells is mediated by at least two distinct histone modifications, polycomb-based histone H3 lysine 27 trimethylation (H3K27triM) and H3K9 dimethylation. The relationship between DNA hypermethylation and these histone modifications is not completely understood. Using chromatin immunoprecipitation microarrays (ChIP-chip) in prostate cancer cells compared to normal prostate, we found that up to 5% of promoters (16% CpG islands and 84% non-CpG islands) were enriched with H3K27triM. These genes were silenced specifically in prostate cancer, and those CpG islands affected showed low levels of DNA methylation. Downregulation of the EZH2 histone methyltransferase restored expression of the H3K27triM target genes alone or in synergy with histone deacetylase inhibition, without affecting promoter DNA methylation, and with no effect on the expression of genes silenced by DNA hypermethylation. These data establish EZH2-mediated H3K27triM as a mechanism of tumor-suppressor gene silencing in cancer that is potentially independent of promoter DNA methylation."}
{"STANDARD_NAME":"ZHANG_GATA6_TARGETS_UP","SYSTEMATIC_NAME":"M1777","ORGANISM":"Mus musculus","PMID":"18536717","AUTHORS":"Zhang Y,Goss AM,Cohen ED,Kadzik R,Lepore JJ,Muthukumaraswamy K,Yang J,DeMayo FJ,Whitsett JA,Parmacek MS,Morrisey EE","GEOID":"GSE11165","EXACT_SOURCE":"Fig 4a","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated after cre-lox knockout of GATA6 [GeneID=2627] in airway epithelium.","DESCRIPTION_FULL":"Epithelial organs, including the lung, are known to possess regenerative abilities through activation of endogenous stem cell populations, but the molecular pathways regulating stem cell expansion and regeneration are not well understood. Here we show that Gata6 regulates the temporal appearance and number of bronchioalveolar stem cells (BASCs) in the lung, its absence in Gata6-null lung epithelium leading to the precocious appearance of BASCs and concurrent loss in epithelial differentiation. This expansion of BASCs was the result of a pronounced increase in canonical Wnt signaling in lung epithelium upon loss of Gata6. Expression of the noncanonical Wnt receptor Fzd2 was downregulated in Gata6 mutants and increased Fzd2 or decreased beta-catenin expression rescued, in part, the lung epithelial defects in Gata6 mutants. During lung epithelial regeneration, canonical Wnt signaling was activated in the niche containing BASCs and forced activation of Wnt signaling led to a large increase in BASC numbers. Moreover, Gata6 was required for proper lung epithelial regeneration, and postnatal loss of Gata6 led to increased BASC expansion and decreased differentiation. Together, these data demonstrate that Gata6-regulated Wnt signaling controls the balance between progenitor expansion and epithelial differentiation required for both lung development and regeneration."}
{"STANDARD_NAME":"MCGOWAN_RSP6_TARGETS_UP","SYSTEMATIC_NAME":"M1780","ORGANISM":"Mus musculus","PMID":"18641651","AUTHORS":"McGowan KA,Li JZ,Park CY,Beaudry V,Tabor HK,Sabnis AJ,Zhang W,Fuchs H,de Angelis MH,Myers RM,Attardi LD,Barsh GS","GEOID":"GSE11331","EXACT_SOURCE":"Table 1S","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated by hemizygotic cre-lox knockout of RSP6 [GeneID=81492] in keratinocytes.","DESCRIPTION_FULL":"Mutations in genes encoding ribosomal proteins cause the Minute phenotype in Drosophila and mice, and Diamond-Blackfan syndrome in humans. Here we report two mouse dark skin (Dsk) loci caused by mutations in Rps19 (ribosomal protein S19) and Rps20 (ribosomal protein S20). We identify a common pathophysiologic program in which p53 stabilization stimulates Kit ligand expression, and, consequently, epidermal melanocytosis via a paracrine mechanism. Accumulation of p53 also causes reduced body size and erythrocyte count. These results provide a mechanistic explanation for the diverse collection of phenotypes that accompany reduced dosage of genes encoding ribosomal proteins, and have implications for understanding normal human variation and human disease."}
{"STANDARD_NAME":"KANG_CISPLATIN_RESISTANCE_UP","SYSTEMATIC_NAME":"M2767","ORGANISM":"Homo sapiens","PMID":"14734480","AUTHORS":"Kang HC,Kim IJ,Park JH,Shin Y,Ku JL,Jung MS,Yoo BC,Kim HK,Park JG","EXACT_SOURCE":"Table 4","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in gastric cancer cell lines resistant to cisplatin [PubChem=2767].","DESCRIPTION_FULL":"PURPOSE: A major obstacle in chemotherapy is treatment failure due to anticancer drug resistance. The emergence of acquired resistance results from host factors and genetic or epigenetic changes in the cancer cells. The purpose of this study was to identify differentially expressed genes associated with acquisition of resistance in human gastric cancer cells. EXPERIMENTAL DESIGN: We performed global gene expression analysis in the acquired drug-resistant gastric cancer cell lines to the commonly used drugs 5-fluorouracil, doxorubicin, and cisplatin using Affymetrix HG-U133A microarray. The gene expression patterns of 10 chemoresistant gastric cancer cell lines were compared with those of four parent cell lines using fold-change and Wilcoxon's test for data analysis. RESULTS: We identified over 250 genes differentially expressed in 5-fluorouracil-, cisplatin-, or doxorubicin-resistant gastric cancer cell lines. Our expression analysis also identified eight multidrug resistance candidate genes that were associated with resistance to two or more of the tested chemotherapeutic agents. Among these, midkine (MDK), a heparin-binding growth factor, was overexpressed in all drug-resistant cell lines, strongly suggesting that MDK might contribute to multidrug resistance in gastric cancer cells. CONCLUSIONS: Our investigation provides comprehensive gene information associated with acquired resistance to anticancer drugs in gastric cancer cells and a basis for additional functional studies."}
{"STANDARD_NAME":"KANG_CISPLATIN_RESISTANCE_DN","SYSTEMATIC_NAME":"M8236","ORGANISM":"Homo sapiens","PMID":"14734480","AUTHORS":"Kang HC,Kim IJ,Park JH,Shin Y,Ku JL,Jung MS,Yoo BC,Kim HK,Park JG","EXACT_SOURCE":"Table 4","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in gastric cancer cell lines resistant to cisplatin [PubChem=2767].","DESCRIPTION_FULL":"PURPOSE: A major obstacle in chemotherapy is treatment failure due to anticancer drug resistance. The emergence of acquired resistance results from host factors and genetic or epigenetic changes in the cancer cells. The purpose of this study was to identify differentially expressed genes associated with acquisition of resistance in human gastric cancer cells. EXPERIMENTAL DESIGN: We performed global gene expression analysis in the acquired drug-resistant gastric cancer cell lines to the commonly used drugs 5-fluorouracil, doxorubicin, and cisplatin using Affymetrix HG-U133A microarray. The gene expression patterns of 10 chemoresistant gastric cancer cell lines were compared with those of four parent cell lines using fold-change and Wilcoxon's test for data analysis. RESULTS: We identified over 250 genes differentially expressed in 5-fluorouracil-, cisplatin-, or doxorubicin-resistant gastric cancer cell lines. Our expression analysis also identified eight multidrug resistance candidate genes that were associated with resistance to two or more of the tested chemotherapeutic agents. Among these, midkine (MDK), a heparin-binding growth factor, was overexpressed in all drug-resistant cell lines, strongly suggesting that MDK might contribute to multidrug resistance in gastric cancer cells. CONCLUSIONS: Our investigation provides comprehensive gene information associated with acquired resistance to anticancer drugs in gastric cancer cells and a basis for additional functional studies."}
{"STANDARD_NAME":"STEARMAN_LUNG_CANCER_EARLY_VS_LATE_UP","SYSTEMATIC_NAME":"M4925","ORGANISM":"Mus musculus","PMID":"18172294","AUTHORS":"Stearman RS,Dwyer-Nield L,Grady MC,Malkinson AM,Geraci MW","GEOID":"GSE7269","EXACT_SOURCE":"Table 1S: AGE","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Up-regulated genes classifying non-tumor lung tissues by age after incution of lung cancer by urethane injection [PubChem=5641]: early (24-26 weeks) vs late (46 weeks).","DESCRIPTION_FULL":"One area of intensive investigation is to understand complex cellular and signaling interactions in the tumor microenvironment. Using a novel, although straightforward, microarray approach, we defined a gene expression signature from the lung tumor microenvironment in the murine A/J-urethane model of human lung adenocarcinoma. The tumor microenvironment is reflected by the composition of the cell types present and alterations in mRNA levels, resulting in a Field Effect around the tumor. The genes composing the Field Effect expression signature include proteases and their inhibitors, inflammation markers, and immune signaling molecules. By several criteria, the Field Effect expression signature can be attributed to the macrophage lineage, suggesting a qualitative change in the expression pattern of tumor-associated macrophages (TAM) observed in lung tumors. The protein expression levels for a number of Field Effect genes were verified by Western blot analysis of lung homogenates, and for their expression in macrophages and parenchymal cells outside of the tumors by immunohistochemistry. In addition, the Field Effect expression signature was used to classify bronchoalveolar lavage (BAL) cells from tumor-bearing or age-matched control mice. Using a variety of statistical measures, the Field Effect expression signature correctly classified the BAL cells >94% of the time. Finally, the protein levels for several Field Effect genes were higher in cell-free BAL fluid, indicating they may be secreted by the TAMs. This work suggests that TAMs generate a unique gene expression signature within the tumor microenvironment, and this signature could potentially be used for identifying lung cancer from BAL cells and/or fluid."}
{"STANDARD_NAME":"CLAUS_PGR_POSITIVE_MENINGIOMA_UP","SYSTEMATIC_NAME":"M10153","ORGANISM":"Homo sapiens","PMID":"18172325","AUTHORS":"Claus EB,Park PJ,Carroll R,Chan J,Black PM","GEOID":"GSE9438","EXACT_SOURCE":"Table 1: Up-regulated","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in meningioma samples positive for PGR [GeneID=5241] compared to those without the receptor.","DESCRIPTION_FULL":"An association between hormones and meningioma has been postulated. No data exist that examine gene expression in meningioma by hormone receptor status. The data are surgical specimens from 31 meningioma patients undergoing neurosurgical resection at Brigham and Women's Hospital from March 15, 2004 to May 10, 2005. Progesterone and estrogen hormone receptors (PR and ER, respectively) were measured via immunohistochemistry and compared with gene expression profiling results. The sample is 77% female with a mean age of 55.7 years. Eighty percent were grade 1 and the mean MIB was 6.2, whereas 33% and 84% were ER+ and PR+, respectively. Gene expression seemed more strongly associated with PR status than with ER status. Genes on the long arm of chromosome 22 and near the neurofibromatosis type 2 (NF2) gene (22q12) were most frequently noted to have expression variation, with significant up-regulation in PR+ versus PR- lesions, suggesting a higher rate of 22q loss in PR- lesions. Pathway analyses indicated that genes in collagen and extracellular matrix pathways were most likely to be differentially expressed by PR status. These data, although preliminary, are the first to examine gene expression for meningioma cases by hormone receptor status and indicate a stronger association with PR than with ER status. PR status is related to the expression of genes near the NF2 gene, mutations in which have been identified as the initial event in many meningiomas. These findings suggest that PR status may be a clinical marker for genetic subgroups of meningioma and warrant further examination in a larger data set."}
{"STANDARD_NAME":"CLAUS_PGR_POSITIVE_MENINGIOMA_DN","SYSTEMATIC_NAME":"M14787","ORGANISM":"Homo sapiens","PMID":"18172325","AUTHORS":"Claus EB,Park PJ,Carroll R,Chan J,Black PM","GEOID":"GSE9438","EXACT_SOURCE":"Table 1: Down-regulated","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in meningioma samples positive for PGR [GeneID=5241] compared to those without the receptor.","DESCRIPTION_FULL":"An association between hormones and meningioma has been postulated. No data exist that examine gene expression in meningioma by hormone receptor status. The data are surgical specimens from 31 meningioma patients undergoing neurosurgical resection at Brigham and Women's Hospital from March 15, 2004 to May 10, 2005. Progesterone and estrogen hormone receptors (PR and ER, respectively) were measured via immunohistochemistry and compared with gene expression profiling results. The sample is 77% female with a mean age of 55.7 years. Eighty percent were grade 1 and the mean MIB was 6.2, whereas 33% and 84% were ER+ and PR+, respectively. Gene expression seemed more strongly associated with PR status than with ER status. Genes on the long arm of chromosome 22 and near the neurofibromatosis type 2 (NF2) gene (22q12) were most frequently noted to have expression variation, with significant up-regulation in PR+ versus PR- lesions, suggesting a higher rate of 22q loss in PR- lesions. Pathway analyses indicated that genes in collagen and extracellular matrix pathways were most likely to be differentially expressed by PR status. These data, although preliminary, are the first to examine gene expression for meningioma cases by hormone receptor status and indicate a stronger association with PR than with ER status. PR status is related to the expression of genes near the NF2 gene, mutations in which have been identified as the initial event in many meningiomas. These findings suggest that PR status may be a clinical marker for genetic subgroups of meningioma and warrant further examination in a larger data set."}
{"STANDARD_NAME":"COATES_MACROPHAGE_M1_VS_M2_UP","SYSTEMATIC_NAME":"M13671","ORGANISM":"Mus musculus","PMID":"18199539","AUTHORS":"Coates PJ,Rundle JK,Lorimore SA,Wright EG","EXACT_SOURCE":"Table 1S: fold change > 2","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Up-regulated genes distinguishing between M1 (pro-inflammatory) and M2 (anti-inflammatory) macrophage subtypes.","DESCRIPTION_FULL":"In addition to the directly mutagenic effects of energy deposition in DNA, ionizing radiation is associated with a variety of untargeted and delayed effects that result in ongoing bone marrow damage. Delayed effects are genotype dependent with CBA/Ca mice, but not C57BL/6 mice, susceptible to the induction of damage and also radiation-induced acute myeloid leukemia. Because macrophages are a potential source of ongoing damaging signals, we have determined their gene expression profiles and we show that bone marrow-derived macrophages show widely different intrinsic expression patterns. The profiles classify macrophages derived from CBA/Ca mice as M1-like (pro-inflammatory) and those from C57BL/6 mice as M2-like (anti-inflammatory); measurements of NOS2 and arginase activity in normal bone marrow macrophages confirm these findings. After irradiation in vivo, but not in vitro, C57BL/6 macrophages show a reduction in NOS2 and an increase in arginase activities, indicating a further M2 response, whereas CBA/Ca macrophages retain an M1 phenotype. Activation of specific signal transducer and activator of transcription signaling pathways in irradiated hemopoietic tissues supports these observations. The data indicate that macrophage activation is not a direct effect of radiation but a tissue response, secondary to the initial radiation exposure, and have important implications for understanding genotype-dependent responses and the mechanisms of the hemotoxic and leukemogenic consequences of radiation exposure."}
{"STANDARD_NAME":"COATES_MACROPHAGE_M1_VS_M2_DN","SYSTEMATIC_NAME":"M14515","ORGANISM":"Mus musculus","PMID":"18199539","AUTHORS":"Coates PJ,Rundle JK,Lorimore SA,Wright EG","EXACT_SOURCE":"Table 1S: fold change < -2","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated genes distinguishing between M1 (pro-inflammatory) and M2 (anti-inflammatory) macrophage subtypes.","DESCRIPTION_FULL":"In addition to the directly mutagenic effects of energy deposition in DNA, ionizing radiation is associated with a variety of untargeted and delayed effects that result in ongoing bone marrow damage. Delayed effects are genotype dependent with CBA/Ca mice, but not C57BL/6 mice, susceptible to the induction of damage and also radiation-induced acute myeloid leukemia. Because macrophages are a potential source of ongoing damaging signals, we have determined their gene expression profiles and we show that bone marrow-derived macrophages show widely different intrinsic expression patterns. The profiles classify macrophages derived from CBA/Ca mice as M1-like (pro-inflammatory) and those from C57BL/6 mice as M2-like (anti-inflammatory); measurements of NOS2 and arginase activity in normal bone marrow macrophages confirm these findings. After irradiation in vivo, but not in vitro, C57BL/6 macrophages show a reduction in NOS2 and an increase in arginase activities, indicating a further M2 response, whereas CBA/Ca macrophages retain an M1 phenotype. Activation of specific signal transducer and activator of transcription signaling pathways in irradiated hemopoietic tissues supports these observations. The data indicate that macrophage activation is not a direct effect of radiation but a tissue response, secondary to the initial radiation exposure, and have important implications for understanding genotype-dependent responses and the mechanisms of the hemotoxic and leukemogenic consequences of radiation exposure."}
{"STANDARD_NAME":"LEE_METASTASIS_AND_RNA_PROCESSING_UP","SYSTEMATIC_NAME":"M8887","ORGANISM":"Homo sapiens","PMID":"18245461","AUTHORS":"Lee JH,Horak CE,Khanna C,Meng Z,Yu LR,Veenstra TD,Steeg PS","EXACT_SOURCE":"Table 2S","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Components of RNA post-transcriptional modification machinery up-regulated in MDA-MB-435 cells (breast cancer) whose metastatic potential has been reduced by expression of NME1 [GeneID=4830].","DESCRIPTION_FULL":"The role of Gemin5 in alternative mRNA splicing, tumor cell motility, and proteomic instability was investigated. Isotope Capture Affinity Tag proteomic analysis was conducted on MDA-MB-435 tumor cells transfected with either a control vector (C-100) or the Nm23-H1 metastasis suppressor (H1-177). Ingenuity pathway analysis revealed that RNA posttranscriptional processing was the most prominent class of differentially expressed proteins. Within this category, overexpression of Acinus1, Poly(a) binding protein, HNRPA2B1, Bop1, and Gemin5 was confirmed in less metastatic H1-177 cells. Overexpression of the latter four proteins was also observed in the lower metastatic antisense Ezrin transfectant of a murine osteosarcoma model system, confirming the general relevance of the trends. Gemin5, a component of the spliceosomal complex, was chosen for further study. Analysis of global mRNA splicing by SpliceArray chips revealed that 16 genes were differentially spliced in C-100 compared with H1-177 cells; transient transfection of gemin5 into C-100 cells restored the splice pattern to that of H1-177 cells. Alternative splicing patterns for the engulfment and cell motility 1 and thrombospondin 4 genes were confirmed by semiquantitative reverse transcription-PCR. Gemin5 overexpression coordinately reduced C-100 cell motility by 50%, and siRNA-mediated reduction of Gemin5 expression increased the motility of H1-177 cells by 2-fold (P < 0.004). The data provide the first demonstration that alterations in the expression of a spliceosome protein can effect both specific splicing events and tumor cell motility. The data also show that changes in mRNA splicing patterns accompany metastatic progression, which may contribute to proteome instability."}
{"STANDARD_NAME":"LEE_METASTASIS_AND_ALTERNATIVE_SPLICING_DN","SYSTEMATIC_NAME":"M13714","ORGANISM":"Homo sapiens","PMID":"18245461","AUTHORS":"Lee JH,Horak CE,Khanna C,Meng Z,Yu LR,Veenstra TD,Steeg PS","EXACT_SOURCE":"Table 3.3S, 3.4S","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated genes displaying alternative splicing in MDA-MB-435 cells (breast cancer) whose metastatic potential has been reduced by expression of NME1 [GeneID=4830].","DESCRIPTION_FULL":"The role of Gemin5 in alternative mRNA splicing, tumor cell motility, and proteomic instability was investigated. Isotope Capture Affinity Tag proteomic analysis was conducted on MDA-MB-435 tumor cells transfected with either a control vector (C-100) or the Nm23-H1 metastasis suppressor (H1-177). Ingenuity pathway analysis revealed that RNA posttranscriptional processing was the most prominent class of differentially expressed proteins. Within this category, overexpression of Acinus1, Poly(a) binding protein, HNRPA2B1, Bop1, and Gemin5 was confirmed in less metastatic H1-177 cells. Overexpression of the latter four proteins was also observed in the lower metastatic antisense Ezrin transfectant of a murine osteosarcoma model system, confirming the general relevance of the trends. Gemin5, a component of the spliceosomal complex, was chosen for further study. Analysis of global mRNA splicing by SpliceArray chips revealed that 16 genes were differentially spliced in C-100 compared with H1-177 cells; transient transfection of gemin5 into C-100 cells restored the splice pattern to that of H1-177 cells. Alternative splicing patterns for the engulfment and cell motility 1 and thrombospondin 4 genes were confirmed by semiquantitative reverse transcription-PCR. Gemin5 overexpression coordinately reduced C-100 cell motility by 50%, and siRNA-mediated reduction of Gemin5 expression increased the motility of H1-177 cells by 2-fold (P < 0.004). The data provide the first demonstration that alterations in the expression of a spliceosome protein can effect both specific splicing events and tumor cell motility. The data also show that changes in mRNA splicing patterns accompany metastatic progression, which may contribute to proteome instability."}
{"STANDARD_NAME":"LIN_MELANOMA_COPY_NUMBER_UP","SYSTEMATIC_NAME":"M346","ORGANISM":"Homo sapiens","PMID":"18245465","AUTHORS":"Lin WM,Baker AC,Beroukhim R,Winckler W,Feng W,Marmion JM,Laine E,Greulich H,Tseng H,Gates C,Hodi FS,Dranoff G,Sellers WR,Thomas RK,Meyerson M,Golub TR,Dummer R,Herlyn M,Getz G,Garraway LA","GEOID":"GSE2631","EXACT_SOURCE":"Table 1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Candidate genes in significant regions of chromosomal copy number gains in a panel of melanoma samples.","DESCRIPTION_FULL":"The classification of human tumors based on molecular criteria offers tremendous clinical potential; however, discerning critical and druggable effectors on a large scale will also require robust experimental models reflective of tumor genomic diversity. Here, we describe a comprehensive genomic analysis of 101 melanoma short-term cultures and cell lines. Using an analytic approach designed to enrich for putative driver events, we show that cultured melanoma cells encompass the spectrum of significant genomic alterations present in primary tumors. When annotated according to these lesions, melanomas cluster into subgroups suggestive of distinct oncogenic mechanisms. Integrating gene expression data suggests novel candidate effector genes linked to recurrent copy gains and losses, including both phosphatase and tensin homologue (PTEN)-dependent and PTEN-independent tumor suppressor mechanisms associated with chromosome 10 deletions. Finally, sample-matched pharmacologic data show that FGFR1 mutations and extracellular signal-regulated kinase (ERK) activation may modulate sensitivity to mitogen-activated protein kinase/ERK kinase inhibitors. Genetically defined cell culture collections therefore offer a rich framework for systematic functional studies in melanoma and other tumors."}
{"STANDARD_NAME":"LIN_MELANOMA_COPY_NUMBER_DN","SYSTEMATIC_NAME":"M3694","ORGANISM":"Homo sapiens","PMID":"18245465","AUTHORS":"Lin WM,Baker AC,Beroukhim R,Winckler W,Feng W,Marmion JM,Laine E,Greulich H,Tseng H,Gates C,Hodi FS,Dranoff G,Sellers WR,Thomas RK,Meyerson M,Golub TR,Dummer R,Herlyn M,Getz G,Garraway LA","GEOID":"GSE2631","EXACT_SOURCE":"Table 2","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Candidate genes in significant regions of chromosomal copy number losses in a panel of melanoma samples.","DESCRIPTION_FULL":"The classification of human tumors based on molecular criteria offers tremendous clinical potential; however, discerning critical and druggable effectors on a large scale will also require robust experimental models reflective of tumor genomic diversity. Here, we describe a comprehensive genomic analysis of 101 melanoma short-term cultures and cell lines. Using an analytic approach designed to enrich for putative driver events, we show that cultured melanoma cells encompass the spectrum of significant genomic alterations present in primary tumors. When annotated according to these lesions, melanomas cluster into subgroups suggestive of distinct oncogenic mechanisms. Integrating gene expression data suggests novel candidate effector genes linked to recurrent copy gains and losses, including both phosphatase and tensin homologue (PTEN)-dependent and PTEN-independent tumor suppressor mechanisms associated with chromosome 10 deletions. Finally, sample-matched pharmacologic data show that FGFR1 mutations and extracellular signal-regulated kinase (ERK) activation may modulate sensitivity to mitogen-activated protein kinase/ERK kinase inhibitors. Genetically defined cell culture collections therefore offer a rich framework for systematic functional studies in melanoma and other tumors."}
{"STANDARD_NAME":"FINETTI_BREAST_CANCERS_KINOME_BLUE","SYSTEMATIC_NAME":"M2862","ORGANISM":"Homo sapiens","PMID":"18245477","AUTHORS":"Finetti P,Cervera N,Charafe-Jauffret E,Chabannon C,Charpin C,Chaffanet M,Jacquemier J,Viens P,Birnbaum D,Bertucci F","EXACT_SOURCE":"Fig 1C: blue cluster","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes in the blue cluster of protein kinases distinguishing between luminal A and basal breast cancer subtypes.","DESCRIPTION_FULL":"Breast cancer is a heterogeneous disease made of various molecular subtypes with different prognosis. However, evolution remains difficult to predict within some subtypes, such as luminal A, and treatment is not as adapted as it should be. Refinement of prognostic classification and identification of new therapeutic targets are needed. Using oligonucleotide microarrays, we profiled 227 breast cancers. We focused our analysis on two major breast cancer subtypes with opposite prognosis, luminal A (n = 80) and basal (n = 58), and on genes encoding protein kinases. Whole-kinome expression separated luminal A and basal tumors. The expression (measured by a kinase score) of 16 genes encoding serine/threonine kinases involved in mitosis distinguished two subgroups of luminal A tumors: Aa, of good prognosis and Ab, of poor prognosis. This classification and its prognostic effect were validated in 276 luminal A cases from three independent series profiled across different microarray platforms. The classification outperformed the current prognostic factors in univariate and multivariate analyses in both training and validation sets. The luminal Ab subgroup, characterized by high mitotic activity compared with luminal Aa tumors, displayed clinical characteristics and a kinase score intermediate between the luminal Aa subgroup and the luminal B subtype, suggesting a continuum in luminal tumors. Some of the mitotic kinases of the signature represent therapeutic targets under investigation. The identification of luminal A cases of poor prognosis should help select appropriate treatment, whereas the identification of a relevant kinase set provides potential targets."}
{"STANDARD_NAME":"FINETTI_BREAST_CANCERS_KINOME_GRAY","SYSTEMATIC_NAME":"M9693","ORGANISM":"Homo sapiens","PMID":"18245477","AUTHORS":"Finetti P,Cervera N,Charafe-Jauffret E,Chabannon C,Charpin C,Chaffanet M,Jacquemier J,Viens P,Birnbaum D,Bertucci F","EXACT_SOURCE":"Fig 1C: gray cluster","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes in the gray cluster of protein kinases distinguishing between luminal A and basal breast cancer subtypes.","DESCRIPTION_FULL":"Breast cancer is a heterogeneous disease made of various molecular subtypes with different prognosis. However, evolution remains difficult to predict within some subtypes, such as luminal A, and treatment is not as adapted as it should be. Refinement of prognostic classification and identification of new therapeutic targets are needed. Using oligonucleotide microarrays, we profiled 227 breast cancers. We focused our analysis on two major breast cancer subtypes with opposite prognosis, luminal A (n = 80) and basal (n = 58), and on genes encoding protein kinases. Whole-kinome expression separated luminal A and basal tumors. The expression (measured by a kinase score) of 16 genes encoding serine/threonine kinases involved in mitosis distinguished two subgroups of luminal A tumors: Aa, of good prognosis and Ab, of poor prognosis. This classification and its prognostic effect were validated in 276 luminal A cases from three independent series profiled across different microarray platforms. The classification outperformed the current prognostic factors in univariate and multivariate analyses in both training and validation sets. The luminal Ab subgroup, characterized by high mitotic activity compared with luminal Aa tumors, displayed clinical characteristics and a kinase score intermediate between the luminal Aa subgroup and the luminal B subtype, suggesting a continuum in luminal tumors. Some of the mitotic kinases of the signature represent therapeutic targets under investigation. The identification of luminal A cases of poor prognosis should help select appropriate treatment, whereas the identification of a relevant kinase set provides potential targets."}
{"STANDARD_NAME":"WALLACE_PROSTATE_CANCER_UP","SYSTEMATIC_NAME":"M3710","ORGANISM":"Homo sapiens","PMID":"18245496","AUTHORS":"Wallace TA,Prueitt RL,Yi M,Howe TM,Gillespie JW,Yfantis HG,Stephens RM,Caporaso NE,Loffredo CA,Ambs S","GEOID":"GSE6956","EXACT_SOURCE":"Table 1S","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in prostate tumor vs normal tissue samples.","DESCRIPTION_FULL":"The incidence and mortality rates of prostate cancer are significantly higher in African-American men when compared with European-American men. We tested the hypothesis that differences in tumor biology contribute to this survival health disparity. Using microarray technology, we obtained gene expression profiles of primary prostate tumors resected from 33 African-American and 36 European-American patients. These tumors were matched on clinical variables. We also evaluated 18 nontumor prostate tissues from seven African-American and 11 European-American patients. The resulting datasets were analyzed for expression differences on the gene and pathway level comparing African-American with European-American patients. Our analysis revealed a significant number of genes, e.g., 162 transcripts at a false-discovery rate of F-induced apoptosis. Because flavopiridol inhibits Cdk9, we found that inhibition of Cdk9 by DRB or by siRNA could recapitulate the flavopiridol effects, with suppression of Rad51 and induction of apoptosis only in p53+/+ cells. In conclusion, after DNA damage by Topo I poisons, flavopiridol targets homologous recombination through a p53-dependent down-regulation of Rad51, resulting in enhancement of apoptosis."}
{"STANDARD_NAME":"HANN_RESISTANCE_TO_BCL2_INHIBITOR_UP","SYSTEMATIC_NAME":"M11749","ORGANISM":"Homo sapiens","PMID":"18381439","AUTHORS":"Hann CL,Daniel VC,Sugar EA,Dobromilskaya I,Murphy SC,Cope L,Lin X,Hierman JS,Wilburn DL,Watkins DN,Rudin CM","GEOID":"GSE10003","EXACT_SOURCE":"Table 1S: Increased in H187-63 AR","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in SCLC (small cell lung cancer) cells with acquired resistance to ABT-737 [PubChem=11228183], an inhibitor of the BCL2 [GeneID=596] family proteins.","DESCRIPTION_FULL":"Bcl-2 is a central regulator of cell survival that is overexpressed in the majority of small cell lung cancers (SCLC) and contributes to both malignant transformation and therapeutic resistance. We compared primary SCLC xenografts prepared from de novo human tumors with standard cell line-based xenografts in the evaluation of a novel and highly potent small molecule inhibitor of Bcl-2, ABT-737. ABT-737 induced dramatic regressions in tumors derived from some SCLC cell lines. In contrast, only one of three primary xenograft SCLC tumors showed significant growth inhibition with ABT-737. Explanations for this apparent dichotomy may include relatively low expression of Bcl-2 in the primary xenografts or inherent differences in the model systems. The addition of etoposide to ABT-737 in the primary xenografts resulted in significant decreases in tumor growth, underscoring the clinical potential of ABT-737 in combination therapy. To identify factors that may contribute to resistance to ABT-737 and related inhibitors, we isolated resistant derivatives of an initially sensitive cell line-based xenograft. Acquired resistance in this model was associated with decreases in the expression of the primary target Bcl-2, of proapoptotic partners of Bcl-2 (Bax and Bim), and of Bcl-2:Bim heterodimers. Expression profiling reveals 85 candidate genes demonstrating consistent changes in gene expression with acquired resistance. Taken together, these data have specific implications for the clinical development of Bcl-2 inhibitors for SCLC and broader implications for the testing of novel anticancer strategies in relevant preclinical models."}
{"STANDARD_NAME":"HANN_RESISTANCE_TO_BCL2_INHIBITOR_DN","SYSTEMATIC_NAME":"M4339","ORGANISM":"Homo sapiens","PMID":"18381439","AUTHORS":"Hann CL,Daniel VC,Sugar EA,Dobromilskaya I,Murphy SC,Cope L,Lin X,Hierman JS,Wilburn DL,Watkins DN,Rudin CM","GEOID":"GSE10003","EXACT_SOURCE":"Table 1S: Decreased in H187-63AR","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in SCLC (small cell lung cancer) cells with acquired resistance to ABT-737 [PubChem=11228183], an inhibitor of the BCL2 [GeneID=596] family proteins.","DESCRIPTION_FULL":"Bcl-2 is a central regulator of cell survival that is overexpressed in the majority of small cell lung cancers (SCLC) and contributes to both malignant transformation and therapeutic resistance. We compared primary SCLC xenografts prepared from de novo human tumors with standard cell line-based xenografts in the evaluation of a novel and highly potent small molecule inhibitor of Bcl-2, ABT-737. ABT-737 induced dramatic regressions in tumors derived from some SCLC cell lines. In contrast, only one of three primary xenograft SCLC tumors showed significant growth inhibition with ABT-737. Explanations for this apparent dichotomy may include relatively low expression of Bcl-2 in the primary xenografts or inherent differences in the model systems. The addition of etoposide to ABT-737 in the primary xenografts resulted in significant decreases in tumor growth, underscoring the clinical potential of ABT-737 in combination therapy. To identify factors that may contribute to resistance to ABT-737 and related inhibitors, we isolated resistant derivatives of an initially sensitive cell line-based xenograft. Acquired resistance in this model was associated with decreases in the expression of the primary target Bcl-2, of proapoptotic partners of Bcl-2 (Bax and Bim), and of Bcl-2:Bim heterodimers. Expression profiling reveals 85 candidate genes demonstrating consistent changes in gene expression with acquired resistance. Taken together, these data have specific implications for the clinical development of Bcl-2 inhibitors for SCLC and broader implications for the testing of novel anticancer strategies in relevant preclinical models."}
{"STANDARD_NAME":"ENGELMANN_CANCER_PROGENITORS_UP","SYSTEMATIC_NAME":"M13135","ORGANISM":"Homo sapiens","PMID":"18381450","AUTHORS":"Engelmann K,Shen H,Finn OJ","EXACT_SOURCE":"Table 2aS","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Up-regulated genes in the cancer progenitor (stem) cells corresponding to side population (SP) MCF7 cells (breast cancer) positive for MUC1 [GeneID=4582].","DESCRIPTION_FULL":"Chemotherapy, radiation, and growth inhibitory drugs preferentially eliminate actively growing cancer cells. Cancer recurrence is currently thought to be due to nondividing cancer stem/progenitor cells that are resistant to these therapies. Different therapeutic approaches need to be considered for the elimination of the cancer stem cell population. Immunotherapy is one such approach. In addition to specificity and lack of toxicity, immunotherapy targets cancer cells irrespective of their state of proliferation, as long as they express particular tumor antigens. For that reason, it is important to examine if the tumor antigens that are currently being tested as immunotherapeutic agents are also present on cancer stem cells. This study aimed to determine if one well-known tumor antigen, MUC1, which is being tested as an immunotherapy target on tumor cells, is also expressed on the quiescent cancer stem/progenitor cells. We used the so-called side population (SP) cells found in the MCF7 breast cancer cell line, which we first confirmed by cell surface markers and gene profiling to be highly enriched in cells that fulfill specific functional, phenotypic, and molecular criteria for being tumor stem/progenitor cells. We show that these cells express MUC1 and give rise to MUC1(+) tumors in vivo, which maintain the MUC1(+) SP population. MUC1 on SP cells is hypoglycosylated and heavily sialylated; the characteristics of the tumor-specific form were expressed on mature cancer cells and recognized by tumor-specific T cells and antibodies. This suggests that stem/progenitor cells, like mature tumor cells, would be targets of MUC1-directed immunotherapy."}
{"STANDARD_NAME":"ENGELMANN_CANCER_PROGENITORS_DN","SYSTEMATIC_NAME":"M9246","ORGANISM":"Homo sapiens","PMID":"18381450","AUTHORS":"Engelmann K,Shen H,Finn OJ","EXACT_SOURCE":"Table 2bS","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated genes in the cancer progenitor (stem) cells corresponding to side population (SP) MCF7 cells (breast cancer) positive for MUC1 [GeneID=4582].","DESCRIPTION_FULL":"Chemotherapy, radiation, and growth inhibitory drugs preferentially eliminate actively growing cancer cells. Cancer recurrence is currently thought to be due to nondividing cancer stem/progenitor cells that are resistant to these therapies. Different therapeutic approaches need to be considered for the elimination of the cancer stem cell population. Immunotherapy is one such approach. In addition to specificity and lack of toxicity, immunotherapy targets cancer cells irrespective of their state of proliferation, as long as they express particular tumor antigens. For that reason, it is important to examine if the tumor antigens that are currently being tested as immunotherapeutic agents are also present on cancer stem cells. This study aimed to determine if one well-known tumor antigen, MUC1, which is being tested as an immunotherapy target on tumor cells, is also expressed on the quiescent cancer stem/progenitor cells. We used the so-called side population (SP) cells found in the MCF7 breast cancer cell line, which we first confirmed by cell surface markers and gene profiling to be highly enriched in cells that fulfill specific functional, phenotypic, and molecular criteria for being tumor stem/progenitor cells. We show that these cells express MUC1 and give rise to MUC1(+) tumors in vivo, which maintain the MUC1(+) SP population. MUC1 on SP cells is hypoglycosylated and heavily sialylated; the characteristics of the tumor-specific form were expressed on mature cancer cells and recognized by tumor-specific T cells and antibodies. This suggests that stem/progenitor cells, like mature tumor cells, would be targets of MUC1-directed immunotherapy."}
{"STANDARD_NAME":"WORSCHECH_TUMOR_REJECTION_DN","SYSTEMATIC_NAME":"M1789","ORGANISM":"Mus musculus","PMID":"18381452","AUTHORS":"Worschech A,Kmieciak M,Knutson KL,Bear HD,Szalay AA,Wang E,Marincola FM,Manjili MH","EXACT_SOURCE":"Table 1-3: Reject < Control","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated genes defining rejection of mammary carcinoma (MMC) tumors.","DESCRIPTION_FULL":"We have previously shown T-cell-mediated rejection of the neu-overexpressing mammary carcinoma cells (MMC) in wild-type FVB mice. However, following rejection of primary tumors, a fraction of animals experienced a recurrence of a neu antigen-negative variant (ANV) of MMC (tumor evasion model) after a long latency period. In the present study, we determined that T cells derived from wild-type FVB mice can specifically recognize MMC by secreting IFN-gamma and can induce apoptosis of MMC in vitro. Neu transgenic (FVBN202) mice develop spontaneous tumors and cannot reject it (tumor tolerance model). To dissect the mechanisms associated with rejection or tolerance of MMC tumors, we compared transcriptional patterns within the tumor microenvironment of MMC undergoing rejection with those that resisted it either because of tumor evasion/antigen loss recurrence (ANV tumors) or because of intrinsic tolerance mechanisms displayed by the transgenic mice. Gene profiling confirmed that immune rejection is primarily mediated through activation of IFN-stimulated genes and T-cell effector mechanisms. The tumor evasion model showed combined activation of Th1 and Th2 with a deviation toward Th2 and humoral immune responses that failed to achieve rejection likely because of lack of target antigen. Interestingly, the tumor tolerance model instead displayed immune suppression pathways through activation of regulatory mechanisms that included in particular the overexpression of interleukin-10 (IL-10), IL-10 receptor, and suppressor of cytokine signaling (SOCS)-1 and SOCS-3. These data provide a road map for the identification of novel biomarkers of immune responsiveness in clinical trials."}
{"STANDARD_NAME":"HUANG_FOXA2_TARGETS_UP","SYSTEMATIC_NAME":"M15326","ORGANISM":"Homo sapiens","PMID":"18593902","AUTHORS":"Huang G,Eisenberg R,Yan M,Monti S,Lawrence E,Fu P,Walbroehl J,Löwenberg E,Golub T,Merchan J,Tenen DG,Markowitz SD,Halmos B","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in H358 cells (lung cancer) by inducible expression of FOXA2 [GeneID=3170] in a Tet-off system.","DESCRIPTION_FULL":"The forkhead transcription factor hepatocyte nuclear factor 3beta (HNF3beta) is essential in foregut development and the regulation of lung-specific genes. HNF3beta expression leads to growth arrest and apoptosis in lung cancer cells and HNF3beta is a candidate tumor suppressor in lung cancer. In a transcriptional profiling study using a conditional cell line system, we now identify 15-PGDH as one of the major genes induced by HNF3beta expression. 15-PGDH is a critical metabolic enzyme of proliferative prostaglandins, an antagonist to cyclooxygenase-2 and a tumor suppressor in colon cancer. We confirmed the regulation of 15-PGDH expression by HNF3beta in a number of systems and showed direct binding of HNF3beta to 15-PGDH promoter elements. Western blotting of lung cancer cell lines and immunohistochemical examination of human lung cancer tissues found loss of 15-PGDH expression in approximately 65% of lung cancers. Further studies using in vitro cell-based assays and in vivo xenograft tumorigenesis assays showed a lack of in vitro but significant in vivo tumor suppressor activity of 15-PGDH via an antiangiogenic mechanism analogous to its role in colon cancer. In summary, we identify 15-PGDH as a direct downstream effector of HNF3beta and show that 15-PGDH acts as a tumor suppressor in lung cancer."}
{"STANDARD_NAME":"HUANG_FOXA2_TARGETS_DN","SYSTEMATIC_NAME":"M16701","ORGANISM":"Homo sapiens","PMID":"18593902","AUTHORS":"Huang G,Eisenberg R,Yan M,Monti S,Lawrence E,Fu P,Walbroehl J,Löwenberg E,Golub T,Merchan J,Tenen DG,Markowitz SD,Halmos B","EXACT_SOURCE":"Table 2S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in H358 cells (lung cancer) by inducible expression of FOXA2 [GeneID=3170] in a Tet-off system.","DESCRIPTION_FULL":"The forkhead transcription factor hepatocyte nuclear factor 3beta (HNF3beta) is essential in foregut development and the regulation of lung-specific genes. HNF3beta expression leads to growth arrest and apoptosis in lung cancer cells and HNF3beta is a candidate tumor suppressor in lung cancer. In a transcriptional profiling study using a conditional cell line system, we now identify 15-PGDH as one of the major genes induced by HNF3beta expression. 15-PGDH is a critical metabolic enzyme of proliferative prostaglandins, an antagonist to cyclooxygenase-2 and a tumor suppressor in colon cancer. We confirmed the regulation of 15-PGDH expression by HNF3beta in a number of systems and showed direct binding of HNF3beta to 15-PGDH promoter elements. Western blotting of lung cancer cell lines and immunohistochemical examination of human lung cancer tissues found loss of 15-PGDH expression in approximately 65% of lung cancers. Further studies using in vitro cell-based assays and in vivo xenograft tumorigenesis assays showed a lack of in vitro but significant in vivo tumor suppressor activity of 15-PGDH via an antiangiogenic mechanism analogous to its role in colon cancer. In summary, we identify 15-PGDH as a direct downstream effector of HNF3beta and show that 15-PGDH acts as a tumor suppressor in lung cancer."}
{"STANDARD_NAME":"MASRI_RESISTANCE_TO_TAMOXIFEN_AND_AROMATASE_INHIBITORS_DN","SYSTEMATIC_NAME":"M1991","ORGANISM":"Homo sapiens","PMID":"18559539","AUTHORS":"Masri S,Phung S,Wang X,Wu X,Yuan YC,Wagman L,Chen S","GEOID":"GSE10911","EXACT_SOURCE":"Table 4S","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in derivatives of MCF-7aro cells (breast cancer) that developed resistance to tamoxifen [PubChem=5376] or inhibitors of aromatase (CYP19A1) [GeneID=1588].","DESCRIPTION_FULL":"Acquired resistance to either tamoxifen or aromatase inhibitors (AI) develops after prolonged treatment in a majority of hormone-responsive breast cancers. In an attempt to further elucidate mechanisms of acquired resistance to AIs, MCF-7aro cells resistant to letrozole (T+LET R), anastrozole (T+ANA R), and exemestane (T+EXE R), as well as long-term estrogen deprived (LTEDaro) and tamoxifen-resistant (T+TAM R) lines were generated. This is the first complete panel of endocrine therapy-resistant cell lines, which were generated as multiple independent biological replicates for unbiased genome-wide analysis using affymetrix microarrays. Although similarities are apparent, microarray results clearly show gene signatures unique to AI-resistance were inherently different from LTEDaro and T+TAM R gene expression profiles. Based on hierarchical clustering, unique estrogen-responsive gene signatures vary depending on cell line, with some genes up-regulated in all lines versus other genes up-regulated only in the AI-resistant lines. Characterization of these resistant lines showed that LTEDaro, T+LET R, and T+ANA R cells contained a constitutively active estrogen receptor (ER)alpha that does not require estrogen for activation. This ligand-independent activation of ER was not observed in the parental cells, as well as T+EXE R and T+TAM R cells. Further characterization of these resistant lines was performed using cell cycle analysis, immunofluorescence experiments to visualize ER subcellular localization, as well as cross-resistance studies to determine second-line inhibitor response. Using this well-defined model system, our studies provide important information regarding differences in resistance mechanisms to AIs, TAM, and LTEDaro, which are critical in overcoming resistance when treating hormone-responsive breast cancers."}
{"STANDARD_NAME":"MISHRA_CARCINOMA_ASSOCIATED_FIBROBLAST_UP","SYSTEMATIC_NAME":"M18292","ORGANISM":"Homo sapiens","PMID":"18519693","AUTHORS":"Mishra PJ,Humeniuk R,Medina DJ,Alexe G,Mesirov JP,Ganesan S,Glod JW,Banerjee D","GEOID":"GSE9764","EXACT_SOURCE":"p. 4335: Top 25 (of 53) up-regulated genes","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top genes up-regulated in mesenchyme stem cells (MSC) grown in a tumor conditioned medium, which leads to carcinoma-associated fibroblast phenotype.","DESCRIPTION_FULL":"Carcinoma-associated fibroblasts (CAF) have recently been implicated in important aspects of epithelial solid tumor biology, such as neoplastic progression, tumor growth, angiogenesis, and metastasis. However, neither the source of CAFs nor the differences between CAFs and fibroblasts from nonneoplastic tissue have been well defined. In this study, we show that human bone marrow-derived mesenchymal stem cells (hMSCs) exposed to tumor-conditioned medium (TCM) over a prolonged period of time assume a CAF-like myofibroblastic phenotype. More importantly, these cells exhibit functional properties of CAFs, including sustained expression of stromal-derived factor-1 (SDF-1) and the ability to promote tumor cell growth both in vitro and in an in vivo coimplantation model, and expression of myofibroblast markers, including alpha-smooth muscle actin and fibroblast surface protein. hMSCs induced to differentiate to a myofibroblast-like phenotype using 5-azacytidine do not promote tumor cell growth as efficiently as hMSCs cultured in TCM nor do they show increased SDF-1 expression. Furthermore, gene expression profiling revealed similarities between TCM-exposed hMSCs and CAFs. Taken together, these data suggest that hMSCs are a source of CAFs and can be used in the modeling of tumor-stroma interactions. To our knowledge, this is the first report showing that hMSCs become activated and resemble carcinoma-associated myofibroblasts on prolonged exposure to conditioned medium from MDAMB231 human breast cancer cells."}
{"STANDARD_NAME":"MCCABE_HOXC6_TARGETS_UP","SYSTEMATIC_NAME":"M16591","ORGANISM":"Mus musculus","PMID":"18339881","AUTHORS":"McCabe CD,Spyropoulos DD,Martin D,Moreno CS","GEOID":"GSE9207,GSE9182,GSE9772","EXACT_SOURCE":"Table 2: HOXC-/- FC > 0","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with promoters bound by HOXC6 [GeneID=3223] in LNCaP cells (prostate cancer) and up-regulated upon loss of function (LOF) of HOXC6.","DESCRIPTION_FULL":"Homeobox transcription factors are developmentally regulated genes that play crucial roles in tissue patterning. Homeobox C6 (HOXC6) is overexpressed in prostate cancers and correlated with cancer progression, but the downstream targets of HOXC6 are largely unknown. We have performed genome-wide localization analysis to identify promoters bound by HOXC6 in prostate cancer cells. This analysis identified 468 reproducibly bound promoters whose associated genes are involved in functions such as cell proliferation and apoptosis. We have complemented these data with expression profiling of prostates from mice with homozygous disruption of the Hoxc6 gene to identify 31 direct regulatory target genes of HOXC6. We show that HOXC6 directly regulates expression of bone morphogenic protein 7, fibroblast growth factor receptor 2, insulin-like growth factor binding protein 3, and platelet-derived growth factor receptor alpha (PDGFRA) in prostate cells and indirectly influences the Notch and Wnt signaling pathways in vivo. We further show that inhibition of PDGFRA reduces proliferation of prostate cancer cells, and that overexpression of HOXC6 can overcome the effects of PDGFRA inhibition. HOXC6 regulates genes with both oncogenic and tumor suppressor activities as well as several genes such as CD44 that are important for prostate branching morphogenesis and metastasis to the bone microenvironment."}
{"STANDARD_NAME":"MCCABE_HOXC6_TARGETS_DN","SYSTEMATIC_NAME":"M5465","ORGANISM":"Mus musculus","PMID":"18339881","AUTHORS":"McCabe CD,Spyropoulos DD,Martin D,Moreno CS","GEOID":"GSE9207,GSE9182,GSE9772","EXACT_SOURCE":"Table 3S: HOXC6-/- FC < 0","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with promoters bound by HOXC6 [GeneID=3223] in LNCaP cells (prostate cancer) and down-regulated upon loss of function (LOF) of HOXC6.","DESCRIPTION_FULL":"Homeobox transcription factors are developmentally regulated genes that play crucial roles in tissue patterning. Homeobox C6 (HOXC6) is overexpressed in prostate cancers and correlated with cancer progression, but the downstream targets of HOXC6 are largely unknown. We have performed genome-wide localization analysis to identify promoters bound by HOXC6 in prostate cancer cells. This analysis identified 468 reproducibly bound promoters whose associated genes are involved in functions such as cell proliferation and apoptosis. We have complemented these data with expression profiling of prostates from mice with homozygous disruption of the Hoxc6 gene to identify 31 direct regulatory target genes of HOXC6. We show that HOXC6 directly regulates expression of bone morphogenic protein 7, fibroblast growth factor receptor 2, insulin-like growth factor binding protein 3, and platelet-derived growth factor receptor alpha (PDGFRA) in prostate cells and indirectly influences the Notch and Wnt signaling pathways in vivo. We further show that inhibition of PDGFRA reduces proliferation of prostate cancer cells, and that overexpression of HOXC6 can overcome the effects of PDGFRA inhibition. HOXC6 regulates genes with both oncogenic and tumor suppressor activities as well as several genes such as CD44 that are important for prostate branching morphogenesis and metastasis to the bone microenvironment."}
{"STANDARD_NAME":"TING_SILENCED_BY_DICER","SYSTEMATIC_NAME":"M8943","ORGANISM":"Homo sapiens","PMID":"18413723","AUTHORS":"Ting AH,Suzuki H,Cope L,Schuebel KE,Lee BH,Toyota M,Imai K,Shinomura Y,Tokino T,Baylin SB","GEOID":"GSM147932,GSM147895","EXACT_SOURCE":"Table 1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Epigenetically silenced genes up-regulated in HCT116 cells (colon cancer) hypomorphic for DICER1 [GeneID=23405].","DESCRIPTION_FULL":"Promoter hypermethylation is a prevalent phenomenon, found in virtually all cancer types studied thus far, and accounts for tumor suppressor gene silencing in the absence of genetic mutations. The mechanism behind the establishment and maintenance of such aberrant hypermethylation has been under intense study. Here, we have uncovered a link between aberrant gene silencing associated with promoter CpG island DNA methylation and the siRNA/miRNA processing enzyme, DICER, in human cancer cells. By comparing demethylated HCT116 colon cancer cells with HCT116 cells genetically rendered hypomorphic for DICER, we identified a group of epigenetically silenced genes that became reactivated in the absence of functional DICER. This reactivation is associated with a dramatic loss of localized promoter DNA hypermethylation. Thus, intact DICER is required to maintain full promoter DNA hypermethylation of select epigenetically silenced loci in human cancer cells."}
{"STANDARD_NAME":"BOYERINAS_ONCOFETAL_TARGETS_OF_LET7A1","SYSTEMATIC_NAME":"M9626","ORGANISM":"Homo sapiens","PMID":"18413726","AUTHORS":"Boyerinas B,Park SM,Shomron N,Hedegaard MM,Vinther J,Andersen JS,Feig C,Xu J,Burge CB,Peter ME","EXACT_SOURCE":"Fig. 1B","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Embryonic genes targeted by LET7A1 [GeneID=406881] and which are up-regulated in many human cancers.","DESCRIPTION_FULL":"MicroRNAs (miRNA) are small RNA molecules of approximately 20 to 22 nucleotides that reduce expression of proteins through mRNA degradation and/or translational silencing. Each known miRNA has a large number of predicted targets. Members of the let-7/miR-98 family of miRNAs are up-regulated at the end of embryonic development. Let-7 is often down-regulated early during cancer development, suggesting that let-7-regulated oncofetal genes (LOG) may become reexpressed in cancer cells. Using comparative bioinformatics, we have identified 12 conserved LOGs that include HMGA2 and IMP-1/CRD-BP. IMP-1 has growth-promoting activities through stabilization of c-myc mRNA. We experimentally confirmed that IMP-1 is a direct let-7 target that promotes cell growth and motility of tumor cells, and we confirmed by proteomics analysis that IMP-1 and HMGA2 are major miRNA targets. Our data suggest that a substantial part of the growth inhibitory activities of let-7 comes from suppressing the expression of IMP-1. LOGs could be novel therapeutic targets and potential biomarkers for cancer treatment."}
{"STANDARD_NAME":"MCCABE_HOXC6_TARGETS_CANCER_UP","SYSTEMATIC_NAME":"M15456","ORGANISM":"Homo sapiens","PMID":"18339881","AUTHORS":"McCabe CD,Spyropoulos DD,Martin D,Moreno CS","GEOID":"GSE9207,GSE9182,GSE9772","EXACT_SOURCE":"Table 4S: HOXC6 Overexpression FC > 0","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes whose promoters were bound by HOXC6 [GeneID=3223] in LNCaP cells (prostate cancer) and which were up-regulated in comparison of tumor vs normal prostate tissue samples.","DESCRIPTION_FULL":"Homeobox transcription factors are developmentally regulated genes that play crucial roles in tissue patterning. Homeobox C6 (HOXC6) is overexpressed in prostate cancers and correlated with cancer progression, but the downstream targets of HOXC6 are largely unknown. We have performed genome-wide localization analysis to identify promoters bound by HOXC6 in prostate cancer cells. This analysis identified 468 reproducibly bound promoters whose associated genes are involved in functions such as cell proliferation and apoptosis. We have complemented these data with expression profiling of prostates from mice with homozygous disruption of the Hoxc6 gene to identify 31 direct regulatory target genes of HOXC6. We show that HOXC6 directly regulates expression of bone morphogenic protein 7, fibroblast growth factor receptor 2, insulin-like growth factor binding protein 3, and platelet-derived growth factor receptor alpha (PDGFRA) in prostate cells and indirectly influences the Notch and Wnt signaling pathways in vivo. We further show that inhibition of PDGFRA reduces proliferation of prostate cancer cells, and that overexpression of HOXC6 can overcome the effects of PDGFRA inhibition. HOXC6 regulates genes with both oncogenic and tumor suppressor activities as well as several genes such as CD44 that are important for prostate branching morphogenesis and metastasis to the bone microenvironment."}
{"STANDARD_NAME":"MCCABE_HOXC6_TARGETS_CANCER_DN","SYSTEMATIC_NAME":"M13626","ORGANISM":"Homo sapiens","PMID":"18339881","AUTHORS":"McCabe CD,Spyropoulos DD,Martin D,Moreno CS","GEOID":"GSE9207,GSE9772,GSE9182","EXACT_SOURCE":"Table 4S: HOXC6 Overexpression FC < 0","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes whose promoters were bound by HOXC6 [GeneID=3223] in LNCaP cells (prostate cancer) and which were down-regulated in comparison of tumor vs normal prostate tissue samples.","DESCRIPTION_FULL":"Homeobox transcription factors are developmentally regulated genes that play crucial roles in tissue patterning. Homeobox C6 (HOXC6) is overexpressed in prostate cancers and correlated with cancer progression, but the downstream targets of HOXC6 are largely unknown. We have performed genome-wide localization analysis to identify promoters bound by HOXC6 in prostate cancer cells. This analysis identified 468 reproducibly bound promoters whose associated genes are involved in functions such as cell proliferation and apoptosis. We have complemented these data with expression profiling of prostates from mice with homozygous disruption of the Hoxc6 gene to identify 31 direct regulatory target genes of HOXC6. We show that HOXC6 directly regulates expression of bone morphogenic protein 7, fibroblast growth factor receptor 2, insulin-like growth factor binding protein 3, and platelet-derived growth factor receptor alpha (PDGFRA) in prostate cells and indirectly influences the Notch and Wnt signaling pathways in vivo. We further show that inhibition of PDGFRA reduces proliferation of prostate cancer cells, and that overexpression of HOXC6 can overcome the effects of PDGFRA inhibition. HOXC6 regulates genes with both oncogenic and tumor suppressor activities as well as several genes such as CD44 that are important for prostate branching morphogenesis and metastasis to the bone microenvironment."}
{"STANDARD_NAME":"MOLENAAR_TARGETS_OF_CCND1_AND_CDK4_UP","SYSTEMATIC_NAME":"M11763","ORGANISM":"Homo sapiens","PMID":"18413728","AUTHORS":"Molenaar JJ,Ebus ME,Koster J,van Sluis P,van Noesel CJ,Versteeg R,Caron HN","GEOID":"GSE8866","EXACT_SOURCE":"Table 2A","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes commonly up-regulated in SK-N-BE cells (neuroblastoma) after RNAi knockdown of CCND1 and CDK4 [GeneID=595;1019].","DESCRIPTION_FULL":"Genomic aberrations of Cyclin D1 (CCND1), CDK4, and CDK6 in neuroblastoma indicate that dysregulation of the G(1) entry checkpoint is an important cell cycle aberration in this pediatric tumor. Here, we report that analysis of Affymetrix expression data of primary neuroblastic tumors shows an extensive overexpression of Cyclin D1, which correlates with histologic subgroups. Immunohistochemical analysis showed overexpression of Cyclin D1 in neuroblasts and low Cyclin D1 expression in all cell types in ganglioneuroma. This suggests an involvement of G(1)-regulating genes in neuronal differentiation processes which we further evaluated using RNA interference against Cyclin D1 and its kinase partners CDK4 and CDK6 in several neuroblastoma cell lines. The Cyclin D1 and CDK4 knockdown resulted in pRb pathway inhibition as shown by an almost complete disappearance of CDK4/CDK6-specific pRb phosphorylation, reduction of E2F transcriptional activity, and a decrease of Cyclin A protein levels. Phenotype analysis showed a significant reduction in cell proliferation, a G(1)-specific cell cycle arrest, and, moreover, an extensive neuronal differentiation. Affymetrix microarray profiling of small interfering RNA-treated cells revealed a shift in expression profile toward a neuronal phenotype. Several new potential downstream players are identified. We conclude that neuroblastoma functionally depend on overexpression of G(1)-regulating genes to maintain their undifferentiated phenotype."}
{"STANDARD_NAME":"ACEVEDO_LIVER_CANCER_WITH_H3K27ME3_UP","SYSTEMATIC_NAME":"M11616","ORGANISM":"Homo sapiens","PMID":"18413731","AUTHORS":"Acevedo LG,Bieda M,Green R,Farnham PJ","GEOID":"GSE10842","EXACT_SOURCE":"Table 24S: higher H3me3K27 in tumor","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes whose promoters display higher levels of histone H3 trimethylation mark at K27 (H3K27me3) in hepatocellular carcinoma (HCC) compared to normal liver.","DESCRIPTION_FULL":"There is widespread interest in efficient characterization of differences between tumor and normal samples. Here, we show an effective methodology for genome-scale characterization of tumors. Using matched normal and tumor samples from liver cancer patients, as well as non-cancer-related normal liver tissue, we first determined changes in gene expression as monitored on RNA expression arrays. We identified several hundred mRNAs that were consistently changed in the tumor samples. To characterize the mechanisms responsible for creation of the tumor-specific transcriptome, we performed chromatin immunoprecipitation on microarray experiments to assay binding of RNA polymerase II, H3me3K27, and H3me3K9 and DNA methylation in 25,000 promoter regions. These experiments identified changes in active and silenced regions of the genome in the tumor cells. Finally, we used a virtual comparative genomic hybridization method to identify copy number alterations in the tumor samples. Through comparison of RNA polymerase II binding, chromatin structure, DNA methylation, and copy number changes, we suggest that the major contributor to creation of the liver tumor transcriptome was changes in gene copy number."}
{"STANDARD_NAME":"ACEVEDO_LIVER_CANCER_WITH_H3K27ME3_DN","SYSTEMATIC_NAME":"M16955","ORGANISM":"Homo sapiens","PMID":"18413731","AUTHORS":"Acevedo LG,Bieda M,Green R,Farnham PJ","GEOID":"GSE10842","EXACT_SOURCE":"Table 24S: lower H3me3K27 in tumor","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes whose promoters display lower levels of histone H3 trimethylation mark at K27 (H3K27me3) in hepatocellular carcinoma (HCC) compared to normal liver.","DESCRIPTION_FULL":"There is widespread interest in efficient characterization of differences between tumor and normal samples. Here, we show an effective methodology for genome-scale characterization of tumors. Using matched normal and tumor samples from liver cancer patients, as well as non-cancer-related normal liver tissue, we first determined changes in gene expression as monitored on RNA expression arrays. We identified several hundred mRNAs that were consistently changed in the tumor samples. To characterize the mechanisms responsible for creation of the tumor-specific transcriptome, we performed chromatin immunoprecipitation on microarray experiments to assay binding of RNA polymerase II, H3me3K27, and H3me3K9 and DNA methylation in 25,000 promoter regions. These experiments identified changes in active and silenced regions of the genome in the tumor cells. Finally, we used a virtual comparative genomic hybridization method to identify copy number alterations in the tumor samples. Through comparison of RNA polymerase II binding, chromatin structure, DNA methylation, and copy number changes, we suggest that the major contributor to creation of the liver tumor transcriptome was changes in gene copy number."}
{"STANDARD_NAME":"ACEVEDO_LIVER_CANCER_WITH_H3K9ME3_UP","SYSTEMATIC_NAME":"M6754","ORGANISM":"Homo sapiens","PMID":"18413731","AUTHORS":"Acevedo LG,Bieda M,Green R,Farnham PJ","GEOID":"GSE10842","EXACT_SOURCE":"Table 25S: higher H3me3k9 in tumor","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes whose promoters display higher histone H3 trimethylation mark at K9 (H3K9me3) in hepatocellular carcinoma (HCC) compared to normal liver.","DESCRIPTION_FULL":"There is widespread interest in efficient characterization of differences between tumor and normal samples. Here, we show an effective methodology for genome-scale characterization of tumors. Using matched normal and tumor samples from liver cancer patients, as well as non-cancer-related normal liver tissue, we first determined changes in gene expression as monitored on RNA expression arrays. We identified several hundred mRNAs that were consistently changed in the tumor samples. To characterize the mechanisms responsible for creation of the tumor-specific transcriptome, we performed chromatin immunoprecipitation on microarray experiments to assay binding of RNA polymerase II, H3me3K27, and H3me3K9 and DNA methylation in 25,000 promoter regions. These experiments identified changes in active and silenced regions of the genome in the tumor cells. Finally, we used a virtual comparative genomic hybridization method to identify copy number alterations in the tumor samples. Through comparison of RNA polymerase II binding, chromatin structure, DNA methylation, and copy number changes, we suggest that the major contributor to creation of the liver tumor transcriptome was changes in gene copy number."}
{"STANDARD_NAME":"ACEVEDO_LIVER_CANCER_WITH_H3K9ME3_DN","SYSTEMATIC_NAME":"M8817","ORGANISM":"Homo sapiens","PMID":"18413731","AUTHORS":"Acevedo LG,Bieda M,Green R,Farnham PJ","GEOID":"GSE10842","EXACT_SOURCE":"Table 25S: lower H3me3k9 in tumor","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes whose promoters display lower histone H3 trimethylation mark at K9 (H3K9me3) in hepatocellular carcinoma (HCC) compared to normal liver.","DESCRIPTION_FULL":"There is widespread interest in efficient characterization of differences between tumor and normal samples. Here, we show an effective methodology for genome-scale characterization of tumors. Using matched normal and tumor samples from liver cancer patients, as well as non-cancer-related normal liver tissue, we first determined changes in gene expression as monitored on RNA expression arrays. We identified several hundred mRNAs that were consistently changed in the tumor samples. To characterize the mechanisms responsible for creation of the tumor-specific transcriptome, we performed chromatin immunoprecipitation on microarray experiments to assay binding of RNA polymerase II, H3me3K27, and H3me3K9 and DNA methylation in 25,000 promoter regions. These experiments identified changes in active and silenced regions of the genome in the tumor cells. Finally, we used a virtual comparative genomic hybridization method to identify copy number alterations in the tumor samples. Through comparison of RNA polymerase II binding, chromatin structure, DNA methylation, and copy number changes, we suggest that the major contributor to creation of the liver tumor transcriptome was changes in gene copy number."}
{"STANDARD_NAME":"ACEVEDO_METHYLATED_IN_LIVER_CANCER_DN","SYSTEMATIC_NAME":"M16009","ORGANISM":"Homo sapiens","PMID":"18413731","AUTHORS":"Acevedo LG,Bieda M,Green R,Farnham PJ","GEOID":"GSE10504","EXACT_SOURCE":"Table 26S: lower 5-MeC in tumor","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes whose DNA is hypo-methylated in hepatocellular carcinoma (HCC) compared to normal liver.","DESCRIPTION_FULL":"There is widespread interest in efficient characterization of differences between tumor and normal samples. Here, we show an effective methodology for genome-scale characterization of tumors. Using matched normal and tumor samples from liver cancer patients, as well as non-cancer-related normal liver tissue, we first determined changes in gene expression as monitored on RNA expression arrays. We identified several hundred mRNAs that were consistently changed in the tumor samples. To characterize the mechanisms responsible for creation of the tumor-specific transcriptome, we performed chromatin immunoprecipitation on microarray experiments to assay binding of RNA polymerase II, H3me3K27, and H3me3K9 and DNA methylation in 25,000 promoter regions. These experiments identified changes in active and silenced regions of the genome in the tumor cells. Finally, we used a virtual comparative genomic hybridization method to identify copy number alterations in the tumor samples. Through comparison of RNA polymerase II binding, chromatin structure, DNA methylation, and copy number changes, we suggest that the major contributor to creation of the liver tumor transcriptome was changes in gene copy number."}
{"STANDARD_NAME":"HOQUE_METHYLATED_IN_CANCER","SYSTEMATIC_NAME":"M19948","ORGANISM":"Homo sapiens","PMID":"18413733","AUTHORS":"Hoque MO,Kim MS,Ostrow KL,Liu J,Wisman GB,Park HL,Poeta ML,Jeronimo C,Henrique R,Lendvai A,Schuuring E,Begum S,Rosenbaum E,Ongenaert M,Yamashita K,Califano J,Westra W,van der Zee AG,Van Criekinge W,Sidransky D","EXACT_SOURCE":"Table 2S","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes whose DNA was methylated both in primary tumors and across a panel of cancer cell lines.","DESCRIPTION_FULL":"DNA methylation has a role in mediating epigenetic silencing of CpG island genes in cancer and other diseases. Identification of all gene promoters methylated in cancer cells the cancer methylome would greatly advance our understanding of gene regulatory networks in tumorigenesis. We previously described a new method of identifying methylated tumor suppressor genes based on pharmacologic unmasking of the promoter region and detection of re-expression on microarray analysis. In this study, we modified and greatly improved the selection of candidates based on new promoter structure algorithm and microarray data generated from 20 cancer cell lines of 5 major cancer types. We identified a set of 200 candidate genes that cluster throughout the genome of which 25 were previously reported as harboring cancer-specific promoter methylation. The remaining 175 genes were tested for promoter methylation by bisulfite sequencing or methylation-specific PCR (MSP). Eighty-two of 175 (47%) genes were found to be methylated in cell lines, and 53 of these 82 genes (65%) were methylated in primary tumor tissues. From these 53 genes, cancer-specific methylation was identified in 28 genes (28 of 53; 53%). Furthermore, we tested 8 of the 28 newly identified cancer-specific methylated genes with quantitative MSP in a panel of 300 primary tumors representing 13 types of cancer. We found cancer-specific methylation of at least one gene with high frequency in all cancer types. Identification of a large number of genes with cancer-specific methylation provides new targets for diagnostic and therapeutic intervention, and opens fertile avenues for basic research in tumor biology."}
{"STANDARD_NAME":"NADELLA_PRKAR1A_TARGETS_DN","SYSTEMATIC_NAME":"M1791","ORGANISM":"Mus musculus","PMID":"18413734","AUTHORS":"Nadella KS,Jones GN,Trimboli A,Stratakis CA,Leone G,Kirschner LS","EXACT_SOURCE":"Table 1: fold expression change < 0","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Epithelial and mesenchymal markers down-regulated in MEF cells (embryonic fibroblasts) after knockout of PRKAR1A [GeneID=5573].","DESCRIPTION_FULL":"Dysregulation of protein kinase A (PKA) activity, caused by loss of function mutations in PRKAR1A, is known to induce tumor formation in the inherited tumor syndrome Carney complex (CNC) and is also associated with sporadic tumors of the thyroid and adrenal. We have previously shown that Prkar1a(+/-) mice develop schwannomas reminiscent of those seen in CNC and that similar tumors are observed in tissue-specific knockouts (KO) of Prkar1a targeted to the neural crest. Within these tumors, we have previously described the presence of epithelial islands, although the nature of these structures was unclear. In this article, we report that these epithelial structures are derived from KO cells originating in the neural crest. Analysis of the mesenchymal marker vimentin revealed that this protein was markedly down-regulated not only from the epithelial islands, but also from the tumor as a whole, consistent with mesenchymal-to-epithelial transition (MET). In vitro, Prkar1a null primary mouse embryonic fibroblasts, which display constitutive PKA signaling, also showed evidence for MET, with a loss of vimentin and up-regulation of the epithelial marker E-cadherin. Reduction of vimentin protein occurred at the posttranslational level and was rescued by proteasomal inhibition. Finally, this down-regulation of vimentin was recapitulated in the adrenal nodules of CNC patients, confirming an unexpected and previously unrecognized role for PKA in MET."}
{"STANDARD_NAME":"SAGIV_CD24_TARGETS_UP","SYSTEMATIC_NAME":"M4144","ORGANISM":"Homo sapiens","PMID":"18413748","AUTHORS":"Sagiv E,Starr A,Rozovski U,Khosravi R,Altevogt P,Wang T,Arber N","GEOID":"GSE15102","EXACT_SOURCE":"Table 1B","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in HT29 cells (colon cancer) after knockdown of CD24 [GeneID=100133941] by both RNAi and monoclonal antibodies.","DESCRIPTION_FULL":"CD24 is a potential oncogene reported to be overexpressed in a large variety of human malignancies. We have shown that CD24 is overexpressed in 90% of colorectal tumors at a fairly early stage in the multistep process of carcinogenesis. Anti-CD24 monoclonal antibodies (mAb) induce a significant growth inhibition in colorectal and pancreatic cancer cell lines that express the protein. This study is designed to investigate further the effects of CD24 down-regulation using mAb or small interfering RNA in vitro and in vivo. Western blot analysis showed that anti-CD24 mAb induced CD24 protein down-regulation through lysosomal degradation. mAb augmented growth inhibition in combination with five classic chemotherapies. Xenograft models in vivo showed that tumor growth was significantly reduced in mAb-treated mice. Similarly, stable growth inhibition of cancer cell lines was achieved by down-regulation of CD24 expression using short hairpin RNA (shRNA). The produced clones proliferated more slowly, reached lower saturation densities, and showed impaired motility. Most importantly, down-regulation of CD24 retarded tumorigenicity of human cancer cell lines in nude mice. Microarray analysis revealed a similar pattern of gene expression alterations when cells were subjected to anti-CD24 mAb or shRNA. Genes in the Ras pathway, mitogen-activated protein kinase, or BCL-2 family and others of oncogenic association were frequently down-regulated. As a putative new oncogene that is overexpressed in gastrointestinal malignancies early in the carcinogenesis process, CD24 is a potential target for early intervention in the prevention and treatment of cancer."}
{"STANDARD_NAME":"SAGIV_CD24_TARGETS_DN","SYSTEMATIC_NAME":"M15657","ORGANISM":"Homo sapiens","PMID":"18413748","AUTHORS":"Sagiv E,Starr A,Rozovski U,Khosravi R,Altevogt P,Wang T,Arber N","GEOID":"GSE15102","EXACT_SOURCE":"Table 1A","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in HT29 cells (colon cancer) after knockdown of CD24 [GeneID=100133941] by both RNAi and monoclonal antibodies.","DESCRIPTION_FULL":"CD24 is a potential oncogene reported to be overexpressed in a large variety of human malignancies. We have shown that CD24 is overexpressed in 90% of colorectal tumors at a fairly early stage in the multistep process of carcinogenesis. Anti-CD24 monoclonal antibodies (mAb) induce a significant growth inhibition in colorectal and pancreatic cancer cell lines that express the protein. This study is designed to investigate further the effects of CD24 down-regulation using mAb or small interfering RNA in vitro and in vivo. Western blot analysis showed that anti-CD24 mAb induced CD24 protein down-regulation through lysosomal degradation. mAb augmented growth inhibition in combination with five classic chemotherapies. Xenograft models in vivo showed that tumor growth was significantly reduced in mAb-treated mice. Similarly, stable growth inhibition of cancer cell lines was achieved by down-regulation of CD24 expression using short hairpin RNA (shRNA). The produced clones proliferated more slowly, reached lower saturation densities, and showed impaired motility. Most importantly, down-regulation of CD24 retarded tumorigenicity of human cancer cell lines in nude mice. Microarray analysis revealed a similar pattern of gene expression alterations when cells were subjected to anti-CD24 mAb or shRNA. Genes in the Ras pathway, mitogen-activated protein kinase, or BCL-2 family and others of oncogenic association were frequently down-regulated. As a putative new oncogene that is overexpressed in gastrointestinal malignancies early in the carcinogenesis process, CD24 is a potential target for early intervention in the prevention and treatment of cancer."}
{"STANDARD_NAME":"SMID_BREAST_CANCER_RELAPSE_IN_BRAIN_UP","SYSTEMATIC_NAME":"M14383","ORGANISM":"Homo sapiens","PMID":"18451135","AUTHORS":"Smid M,Wang Y,Zhang Y,Sieuwerts AM,Yu J,Klijn JG,Foekens JA,Martens JW","GEOID":"GSE2034,GSE5327","EXACT_SOURCE":"Figure 1S: brain up","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in brain relapse of breast cancer.","DESCRIPTION_FULL":"We explored whether the five previously reported molecular subtypes in breast cancer show a preference for organ-specific relapse and searched for molecular pathways involved. The intrinsic gene list describing the subtypes was used to classify 344 primary breast tumors of lymph node-negative patients. Fisher exact tests were used to determine the association between a tumor subtype and a particular site of distant relapse in these patients who only received local treatment. Modulated genes and pathways were identified in the various groups using Significance Analysis of Microarrays and Global Testing. Bone relapse patients were most abundant in the luminal subtypes but were found less than expected in the basal subtype. The reverse was true for lung and brain relapse patients with the remark that absence of lung relapse was luminal A specific. Finally, a pleura relapse, although rare, was found almost exclusively in both luminal subtypes. Many differentially expressed genes were identified, of which several were in common in a subtype and the site to which the subtype preferentially relapsed. WNT signaling was up-regulated in the basal subtype and in brain-specific relapse, and down-modulated in the luminal B subtype and in bone-specific relapse. Focal adhesion was found up-regulated in the luminal A subtype but down-regulated in lung relapse. The five major molecular subtypes in breast cancer are evidently different with regard to their ability to metastasize to distant organ(s), and share biological features and pathways with their preferred distant metastatic site."}
{"STANDARD_NAME":"SMID_BREAST_CANCER_RELAPSE_IN_BONE_DN","SYSTEMATIC_NAME":"M2700","ORGANISM":"Homo sapiens","PMID":"18451135","AUTHORS":"Smid M,Wang Y,Zhang Y,Sieuwerts AM,Yu J,Klijn JG,Foekens JA,Martens JW","GEOID":"GSE5327,GSE2034","EXACT_SOURCE":"Fig 1S: bone down","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in bone relapse of breast cancer.","DESCRIPTION_FULL":"We explored whether the five previously reported molecular subtypes in breast cancer show a preference for organ-specific relapse and searched for molecular pathways involved. The intrinsic gene list describing the subtypes was used to classify 344 primary breast tumors of lymph node-negative patients. Fisher exact tests were used to determine the association between a tumor subtype and a particular site of distant relapse in these patients who only received local treatment. Modulated genes and pathways were identified in the various groups using Significance Analysis of Microarrays and Global Testing. Bone relapse patients were most abundant in the luminal subtypes but were found less than expected in the basal subtype. The reverse was true for lung and brain relapse patients with the remark that absence of lung relapse was luminal A specific. Finally, a pleura relapse, although rare, was found almost exclusively in both luminal subtypes. Many differentially expressed genes were identified, of which several were in common in a subtype and the site to which the subtype preferentially relapsed. WNT signaling was up-regulated in the basal subtype and in brain-specific relapse, and down-modulated in the luminal B subtype and in bone-specific relapse. Focal adhesion was found up-regulated in the luminal A subtype but down-regulated in lung relapse. The five major molecular subtypes in breast cancer are evidently different with regard to their ability to metastasize to distant organ(s), and share biological features and pathways with their preferred distant metastatic site."}
{"STANDARD_NAME":"SMID_BREAST_CANCER_RELAPSE_IN_LUNG_UP","SYSTEMATIC_NAME":"M5840","ORGANISM":"Homo sapiens","PMID":"18451135","AUTHORS":"Smid M,Wang Y,Zhang Y,Sieuwerts AM,Yu J,Klijn JG,Foekens JA,Martens JW","GEOID":"GSE2034,GSE5327","EXACT_SOURCE":"Fig 1S: lung up","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in lung relapse of breast cancer.","DESCRIPTION_FULL":"We explored whether the five previously reported molecular subtypes in breast cancer show a preference for organ-specific relapse and searched for molecular pathways involved. The intrinsic gene list describing the subtypes was used to classify 344 primary breast tumors of lymph node-negative patients. Fisher exact tests were used to determine the association between a tumor subtype and a particular site of distant relapse in these patients who only received local treatment. Modulated genes and pathways were identified in the various groups using Significance Analysis of Microarrays and Global Testing. Bone relapse patients were most abundant in the luminal subtypes but were found less than expected in the basal subtype. The reverse was true for lung and brain relapse patients with the remark that absence of lung relapse was luminal A specific. Finally, a pleura relapse, although rare, was found almost exclusively in both luminal subtypes. Many differentially expressed genes were identified, of which several were in common in a subtype and the site to which the subtype preferentially relapsed. WNT signaling was up-regulated in the basal subtype and in brain-specific relapse, and down-modulated in the luminal B subtype and in bone-specific relapse. Focal adhesion was found up-regulated in the luminal A subtype but down-regulated in lung relapse. The five major molecular subtypes in breast cancer are evidently different with regard to their ability to metastasize to distant organ(s), and share biological features and pathways with their preferred distant metastatic site."}
{"STANDARD_NAME":"SMID_BREAST_CANCER_RELAPSE_IN_PLEURA_UP","SYSTEMATIC_NAME":"M19256","ORGANISM":"Homo sapiens","PMID":"18451135","AUTHORS":"Smid M,Wang Y,Zhang Y,Sieuwerts AM,Yu J,Klijn JG,Foekens JA,Martens JW","GEOID":"GSE5327,GSE2034","EXACT_SOURCE":"Fig 1S: pleura up","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in pleura relapse of breast cancer.","DESCRIPTION_FULL":"We explored whether the five previously reported molecular subtypes in breast cancer show a preference for organ-specific relapse and searched for molecular pathways involved. The intrinsic gene list describing the subtypes was used to classify 344 primary breast tumors of lymph node-negative patients. Fisher exact tests were used to determine the association between a tumor subtype and a particular site of distant relapse in these patients who only received local treatment. Modulated genes and pathways were identified in the various groups using Significance Analysis of Microarrays and Global Testing. Bone relapse patients were most abundant in the luminal subtypes but were found less than expected in the basal subtype. The reverse was true for lung and brain relapse patients with the remark that absence of lung relapse was luminal A specific. Finally, a pleura relapse, although rare, was found almost exclusively in both luminal subtypes. Many differentially expressed genes were identified, of which several were in common in a subtype and the site to which the subtype preferentially relapsed. WNT signaling was up-regulated in the basal subtype and in brain-specific relapse, and down-modulated in the luminal B subtype and in bone-specific relapse. Focal adhesion was found up-regulated in the luminal A subtype but down-regulated in lung relapse. The five major molecular subtypes in breast cancer are evidently different with regard to their ability to metastasize to distant organ(s), and share biological features and pathways with their preferred distant metastatic site."}
{"STANDARD_NAME":"SMID_BREAST_CANCER_RELAPSE_IN_PLEURA_DN","SYSTEMATIC_NAME":"M2118","ORGANISM":"Homo sapiens","PMID":"18451135","AUTHORS":"Smid M,Wang Y,Zhang Y,Sieuwerts AM,Yu J,Klijn JG,Foekens JA,Martens JW","GEOID":"GSE5327,GSE2034","EXACT_SOURCE":"Fig 1S: pleura down","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in pleura relapse of breast cancer.","DESCRIPTION_FULL":"We explored whether the five previously reported molecular subtypes in breast cancer show a preference for organ-specific relapse and searched for molecular pathways involved. The intrinsic gene list describing the subtypes was used to classify 344 primary breast tumors of lymph node-negative patients. Fisher exact tests were used to determine the association between a tumor subtype and a particular site of distant relapse in these patients who only received local treatment. Modulated genes and pathways were identified in the various groups using Significance Analysis of Microarrays and Global Testing. Bone relapse patients were most abundant in the luminal subtypes but were found less than expected in the basal subtype. The reverse was true for lung and brain relapse patients with the remark that absence of lung relapse was luminal A specific. Finally, a pleura relapse, although rare, was found almost exclusively in both luminal subtypes. Many differentially expressed genes were identified, of which several were in common in a subtype and the site to which the subtype preferentially relapsed. WNT signaling was up-regulated in the basal subtype and in brain-specific relapse, and down-modulated in the luminal B subtype and in bone-specific relapse. Focal adhesion was found up-regulated in the luminal A subtype but down-regulated in lung relapse. The five major molecular subtypes in breast cancer are evidently different with regard to their ability to metastasize to distant organ(s), and share biological features and pathways with their preferred distant metastatic site."}
{"STANDARD_NAME":"SMID_BREAST_CANCER_LUMINAL_B_DN","SYSTEMATIC_NAME":"M17572","ORGANISM":"Homo sapiens","PMID":"18451135","AUTHORS":"Smid M,Wang Y,Zhang Y,Sieuwerts AM,Yu J,Klijn JG,Foekens JA,Martens JW","GEOID":"GSE2034,GSE5327","EXACT_SOURCE":"Fig 1S: luminal B down","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in the luminal B subtype of breast cancer.","DESCRIPTION_FULL":"We explored whether the five previously reported molecular subtypes in breast cancer show a preference for organ-specific relapse and searched for molecular pathways involved. The intrinsic gene list describing the subtypes was used to classify 344 primary breast tumors of lymph node-negative patients. Fisher exact tests were used to determine the association between a tumor subtype and a particular site of distant relapse in these patients who only received local treatment. Modulated genes and pathways were identified in the various groups using Significance Analysis of Microarrays and Global Testing. Bone relapse patients were most abundant in the luminal subtypes but were found less than expected in the basal subtype. The reverse was true for lung and brain relapse patients with the remark that absence of lung relapse was luminal A specific. Finally, a pleura relapse, although rare, was found almost exclusively in both luminal subtypes. Many differentially expressed genes were identified, of which several were in common in a subtype and the site to which the subtype preferentially relapsed. WNT signaling was up-regulated in the basal subtype and in brain-specific relapse, and down-modulated in the luminal B subtype and in bone-specific relapse. Focal adhesion was found up-regulated in the luminal A subtype but down-regulated in lung relapse. The five major molecular subtypes in breast cancer are evidently different with regard to their ability to metastasize to distant organ(s), and share biological features and pathways with their preferred distant metastatic site."}
{"STANDARD_NAME":"SMID_BREAST_CANCER_ERBB2_DN","SYSTEMATIC_NAME":"M1219","ORGANISM":"Homo sapiens","PMID":"18451135","AUTHORS":"Smid M,Wang Y,Zhang Y,Sieuwerts AM,Yu J,Klijn JG,Foekens JA,Martens JW","GEOID":"GSE2034,GSE5327","EXACT_SOURCE":"Fig 1S: erbb2 down","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in the erbb2 subype of breast cancer samples, characterized by higher expression of ERBB2 [GeneID=2064].","DESCRIPTION_FULL":"We explored whether the five previously reported molecular subtypes in breast cancer show a preference for organ-specific relapse and searched for molecular pathways involved. The intrinsic gene list describing the subtypes was used to classify 344 primary breast tumors of lymph node-negative patients. Fisher exact tests were used to determine the association between a tumor subtype and a particular site of distant relapse in these patients who only received local treatment. Modulated genes and pathways were identified in the various groups using Significance Analysis of Microarrays and Global Testing. Bone relapse patients were most abundant in the luminal subtypes but were found less than expected in the basal subtype. The reverse was true for lung and brain relapse patients with the remark that absence of lung relapse was luminal A specific. Finally, a pleura relapse, although rare, was found almost exclusively in both luminal subtypes. Many differentially expressed genes were identified, of which several were in common in a subtype and the site to which the subtype preferentially relapsed. WNT signaling was up-regulated in the basal subtype and in brain-specific relapse, and down-modulated in the luminal B subtype and in bone-specific relapse. Focal adhesion was found up-regulated in the luminal A subtype but down-regulated in lung relapse. The five major molecular subtypes in breast cancer are evidently different with regard to their ability to metastasize to distant organ(s), and share biological features and pathways with their preferred distant metastatic site."}
{"STANDARD_NAME":"SMID_BREAST_CANCER_NORMAL_LIKE_UP","SYSTEMATIC_NAME":"M8513","ORGANISM":"Homo sapiens","PMID":"18451135","AUTHORS":"Smid M,Wang Y,Zhang Y,Sieuwerts AM,Yu J,Klijn JG,Foekens JA,Martens JW","GEOID":"GSE2034,GSE5327","EXACT_SOURCE":"Fig 1S: normal up","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in the normal-like subtype of breast cancer.","DESCRIPTION_FULL":"We explored whether the five previously reported molecular subtypes in breast cancer show a preference for organ-specific relapse and searched for molecular pathways involved. The intrinsic gene list describing the subtypes was used to classify 344 primary breast tumors of lymph node-negative patients. Fisher exact tests were used to determine the association between a tumor subtype and a particular site of distant relapse in these patients who only received local treatment. Modulated genes and pathways were identified in the various groups using Significance Analysis of Microarrays and Global Testing. Bone relapse patients were most abundant in the luminal subtypes but were found less than expected in the basal subtype. The reverse was true for lung and brain relapse patients with the remark that absence of lung relapse was luminal A specific. Finally, a pleura relapse, although rare, was found almost exclusively in both luminal subtypes. Many differentially expressed genes were identified, of which several were in common in a subtype and the site to which the subtype preferentially relapsed. WNT signaling was up-regulated in the basal subtype and in brain-specific relapse, and down-modulated in the luminal B subtype and in bone-specific relapse. Focal adhesion was found up-regulated in the luminal A subtype but down-regulated in lung relapse. The five major molecular subtypes in breast cancer are evidently different with regard to their ability to metastasize to distant organ(s), and share biological features and pathways with their preferred distant metastatic site."}
{"STANDARD_NAME":"SMID_BREAST_CANCER_NORMAL_LIKE_DN","SYSTEMATIC_NAME":"M9564","ORGANISM":"Homo sapiens","PMID":"18451135","AUTHORS":"Smid M,Wang Y,Zhang Y,Sieuwerts AM,Yu J,Klijn JG,Foekens JA,Martens JW","GEOID":"GSE2034,GSE5327","EXACT_SOURCE":"Fig 1S: normal down","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in the normal-like subtype of breast cancer.","DESCRIPTION_FULL":"We explored whether the five previously reported molecular subtypes in breast cancer show a preference for organ-specific relapse and searched for molecular pathways involved. The intrinsic gene list describing the subtypes was used to classify 344 primary breast tumors of lymph node-negative patients. Fisher exact tests were used to determine the association between a tumor subtype and a particular site of distant relapse in these patients who only received local treatment. Modulated genes and pathways were identified in the various groups using Significance Analysis of Microarrays and Global Testing. Bone relapse patients were most abundant in the luminal subtypes but were found less than expected in the basal subtype. The reverse was true for lung and brain relapse patients with the remark that absence of lung relapse was luminal A specific. Finally, a pleura relapse, although rare, was found almost exclusively in both luminal subtypes. Many differentially expressed genes were identified, of which several were in common in a subtype and the site to which the subtype preferentially relapsed. WNT signaling was up-regulated in the basal subtype and in brain-specific relapse, and down-modulated in the luminal B subtype and in bone-specific relapse. Focal adhesion was found up-regulated in the luminal A subtype but down-regulated in lung relapse. The five major molecular subtypes in breast cancer are evidently different with regard to their ability to metastasize to distant organ(s), and share biological features and pathways with their preferred distant metastatic site."}
{"STANDARD_NAME":"SMID_BREAST_CANCER_BASAL_UP","SYSTEMATIC_NAME":"M8124","ORGANISM":"Homo sapiens","PMID":"18451135","AUTHORS":"Smid M,Wang Y,Zhang Y,Sieuwerts AM,Yu J,Klijn JG,Foekens JA,Martens JW","GEOID":"GSE5327,GSE2034","EXACT_SOURCE":"Fig 1S: basal up","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in basal subtype of breast cancer samles.","DESCRIPTION_FULL":"We explored whether the five previously reported molecular subtypes in breast cancer show a preference for organ-specific relapse and searched for molecular pathways involved. The intrinsic gene list describing the subtypes was used to classify 344 primary breast tumors of lymph node-negative patients. Fisher exact tests were used to determine the association between a tumor subtype and a particular site of distant relapse in these patients who only received local treatment. Modulated genes and pathways were identified in the various groups using Significance Analysis of Microarrays and Global Testing. Bone relapse patients were most abundant in the luminal subtypes but were found less than expected in the basal subtype. The reverse was true for lung and brain relapse patients with the remark that absence of lung relapse was luminal A specific. Finally, a pleura relapse, although rare, was found almost exclusively in both luminal subtypes. Many differentially expressed genes were identified, of which several were in common in a subtype and the site to which the subtype preferentially relapsed. WNT signaling was up-regulated in the basal subtype and in brain-specific relapse, and down-modulated in the luminal B subtype and in bone-specific relapse. Focal adhesion was found up-regulated in the luminal A subtype but down-regulated in lung relapse. The five major molecular subtypes in breast cancer are evidently different with regard to their ability to metastasize to distant organ(s), and share biological features and pathways with their preferred distant metastatic site."}
{"STANDARD_NAME":"ITO_PTTG1_TARGETS_UP","SYSTEMATIC_NAME":"M2282","ORGANISM":"Homo sapiens","PMID":"18451147","AUTHORS":"Ito T,Shimada Y,Kan T,David S,Cheng Y,Mori Y,Agarwal R,Paun B,Jin Z,Olaru A,Hamilton JP,Yang J,Abraham JM,Meltzer SJ,Sato F","GEOID":"GSE7447","EXACT_SOURCE":"Table 3: Up-regulated genes","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in HSA/c and KYSE140 cells (esophageal squamous cell carcinoma, ESCC) after knockdown of PTTG1 [GeneID=9232] by RNAi.","DESCRIPTION_FULL":"Human pituitary tumor-transforming 1 (PTTG1)/securin is a putative oncoprotein that is overexpressed in various tumor types. However, the involvement of PTTG1 in gastrointestinal cancer development and progression remains unclear. In this study, we investigated the clinical significance and biological effects of PTTG1 in esophageal squamous cell carcinoma (ESCC). Immunohistochemical studies performed on 113 primary ESCC specimens revealed a high prevalence of PTTG1 overexpression (60.2%), which was significantly associated with lymph node metastasis (regional, P = 0.042; distant, P = 0.005), advanced tumor stage (P = 0.028), and poorer overall survival (P = 0.017, log-rank test; P = 0.044, Cox proportional hazard model). Eleven ESCC cell lines expressed PTTG1 protein at levels 2.4 to 6.6 times higher than those in normal esophageal epithelial cells (HEEpiC). PTTG1 protein expression was confined to the nucleus in HEEpiC cells but present in both the cytoplasm and nucleus in ESCC cells. Two small interfering RNAs (siRNA) inhibited PTTG1 mRNA and protein expression in three ESCC cell lines by 77% to 97%. In addition, PTTG1 down-regulation by these siRNAs significantly reduced cell motility in all three ESCC cell lines (P < 0.01) in vitro, as well as popliteal lymph node metastases of ESCC cells in nude mice (P = 0.020). Global gene expression profiling suggested that several members of the Ras and Rho gene families, including RRAS, RHOG, ARHGAP1, and ARHGADIA, represented potential downstream genes in the PTTG1 pathway. Taken together, these findings suggest that PTTG1 overexpression promotes cell motility and lymph node metastasis in ESCC patients, leading to poorer survival. Thus, PTTG1 constitutes a potential biomarker and therapeutic target in ESCCs with lymph node metastases."}
{"STANDARD_NAME":"ITO_PTTG1_TARGETS_DN","SYSTEMATIC_NAME":"M2292","ORGANISM":"Homo sapiens","PMID":"18451147","AUTHORS":"Ito T,Shimada Y,Kan T,David S,Cheng Y,Mori Y,Agarwal R,Paun B,Jin Z,Olaru A,Hamilton JP,Yang J,Abraham JM,Meltzer SJ,Sato F","GEOID":"GSE7447","EXACT_SOURCE":"Table 3: Down-regulated genes","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in HSA/c and KYSE140 cells (esophageal squamous cell carcinoma, ESCC) after knockdown of PTTG1 [GeneID=9232] by RNAi.","DESCRIPTION_FULL":"Human pituitary tumor-transforming 1 (PTTG1)/securin is a putative oncoprotein that is overexpressed in various tumor types. However, the involvement of PTTG1 in gastrointestinal cancer development and progression remains unclear. In this study, we investigated the clinical significance and biological effects of PTTG1 in esophageal squamous cell carcinoma (ESCC). Immunohistochemical studies performed on 113 primary ESCC specimens revealed a high prevalence of PTTG1 overexpression (60.2%), which was significantly associated with lymph node metastasis (regional, P = 0.042; distant, P = 0.005), advanced tumor stage (P = 0.028), and poorer overall survival (P = 0.017, log-rank test; P = 0.044, Cox proportional hazard model). Eleven ESCC cell lines expressed PTTG1 protein at levels 2.4 to 6.6 times higher than those in normal esophageal epithelial cells (HEEpiC). PTTG1 protein expression was confined to the nucleus in HEEpiC cells but present in both the cytoplasm and nucleus in ESCC cells. Two small interfering RNAs (siRNA) inhibited PTTG1 mRNA and protein expression in three ESCC cell lines by 77% to 97%. In addition, PTTG1 down-regulation by these siRNAs significantly reduced cell motility in all three ESCC cell lines (P < 0.01) in vitro, as well as popliteal lymph node metastases of ESCC cells in nude mice (P = 0.020). Global gene expression profiling suggested that several members of the Ras and Rho gene families, including RRAS, RHOG, ARHGAP1, and ARHGADIA, represented potential downstream genes in the PTTG1 pathway. Taken together, these findings suggest that PTTG1 overexpression promotes cell motility and lymph node metastasis in ESCC patients, leading to poorer survival. Thus, PTTG1 constitutes a potential biomarker and therapeutic target in ESCCs with lymph node metastases."}
{"STANDARD_NAME":"LE_SKI_TARGETS_UP","SYSTEMATIC_NAME":"M362","ORGANISM":"Homo sapiens","PMID":"18451154","AUTHORS":"Le Scolan E,Zhu Q,Wang L,Bandyopadhyay A,Javelaud D,Mauviel A,Sun L,Luo K","EXACT_SOURCE":"Table 1S","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Selected genes implicated in metastasis and epithelial-to-mesenchymal transition (EMT) which were up-regulated in MDA-MB-231 cells (breast cancer) upon knockdown of SKI [GeneID=6497] by RNAi.","DESCRIPTION_FULL":"c-Ski is an important corepressor of transforming growth factor-beta (TGF-beta) signaling through its ability to bind to and repress the activity of the Smad proteins. It was initially identified as an oncogene that promotes anchorage-independent growth of chicken and quail embryo fibroblasts when overexpressed. Although increased Ski expression is detected in many human cancer cells, the roles of Ski in mammalian carcinogenesis have yet to be defined. Here, we report that reducing Ski expression in breast and lung cancer cells does not affect tumor growth but enhances tumor metastasis in vivo. Thus, in these cells, Ski plays an antitumorigenic role. We also showed that TGF-beta, a cytokine that is often highly expressed in metastatic tumors, induces Ski degradation through the ubiquitin-dependent proteasome in malignant human cancer cells. On TGF-beta treatment, the E3 ubiquitin ligase Arkadia mediates degradation of Ski in a Smad-dependent manner. Although Arkadia interacts with Ski in the absence of TGF-beta, binding of phosphorylated Smad2 or Smad3 to Ski is required to induce efficient degradation of Ski by Arkadia. Our results suggest that the ability of TGF-beta to induce degradation of Ski could be an additional mechanism contributing to its protumorigenic activity."}
{"STANDARD_NAME":"LE_SKI_TARGETS_DN","SYSTEMATIC_NAME":"M15687","ORGANISM":"Homo sapiens","PMID":"18451154","AUTHORS":"Le Scolan E,Zhu Q,Wang L,Bandyopadhyay A,Javelaud D,Mauviel A,Sun L,Luo K","EXACT_SOURCE":"Table 1S","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Selected genes implicated in metastasis and epithelial-to-mesenchymal transition (EMT) which were down-regulated in MDA-MB-231 cells (breast cancer) upon knockdown of SKI [GeneID=6497] by RNAi.","DESCRIPTION_FULL":"c-Ski is an important corepressor of transforming growth factor-beta (TGF-beta) signaling through its ability to bind to and repress the activity of the Smad proteins. It was initially identified as an oncogene that promotes anchorage-independent growth of chicken and quail embryo fibroblasts when overexpressed. Although increased Ski expression is detected in many human cancer cells, the roles of Ski in mammalian carcinogenesis have yet to be defined. Here, we report that reducing Ski expression in breast and lung cancer cells does not affect tumor growth but enhances tumor metastasis in vivo. Thus, in these cells, Ski plays an antitumorigenic role. We also showed that TGF-beta, a cytokine that is often highly expressed in metastatic tumors, induces Ski degradation through the ubiquitin-dependent proteasome in malignant human cancer cells. On TGF-beta treatment, the E3 ubiquitin ligase Arkadia mediates degradation of Ski in a Smad-dependent manner. Although Arkadia interacts with Ski in the absence of TGF-beta, binding of phosphorylated Smad2 or Smad3 to Ski is required to induce efficient degradation of Ski by Arkadia. Our results suggest that the ability of TGF-beta to induce degradation of Ski could be an additional mechanism contributing to its protumorigenic activity."}
{"STANDARD_NAME":"BONOME_OVARIAN_CANCER_POOR_SURVIVAL_UP","SYSTEMATIC_NAME":"M816","ORGANISM":"Homo sapiens","PMID":"18593951","AUTHORS":"Bonome T,Levine DA,Shih J,Randonovich M,Pise-Masison CA,Bogomolniy F,Ozbun L,Brady J,Barrett JC,Boyd J,Birrer MJ","EXACT_SOURCE":"Table 1: Cox core coefficient > 0","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top highly correlated genes positively associated with poor survival of patients with suboptimally debulked ovarian tumors.","DESCRIPTION_FULL":"Despite the existence of morphologically indistinguishable disease, patients with advanced ovarian tumors display a broad range of survival end points. We hypothesize that gene expression profiling can identify a prognostic signature accounting for these distinct clinical outcomes. To resolve survival-associated loci, gene expression profiling was completed for an extensive set of 185 (90 optimal/95 suboptimal) primary ovarian tumors using the Affymetrix human U133A microarray. Cox regression analysis identified probe sets associated with survival in optimally and suboptimally debulked tumor sets at a P value of <0.01. Leave-one-out cross-validation was applied to each tumor cohort and confirmed by a permutation test. External validation was conducted by applying the gene signature to a publicly available array database of expression profiles of advanced stage suboptimally debulked tumors. The prognostic signature successfully classified the tumors according to survival for suboptimally (P = 0.0179) but not optimally debulked (P = 0.144) patients. The suboptimal gene signature was validated using the independent set of tumors (odds ratio, 8.75; P = 0.0146). To elucidate signaling events amenable to therapeutic intervention in suboptimally debulked patients, pathway analysis was completed for the top 57 survival-associated probe sets. For suboptimally debulked patients, confirmation of the predictive gene signature supports the existence of a clinically relevant predictor, as well as the possibility of novel therapeutic opportunities. Ultimately, the prognostic classifier defined for suboptimally debulked tumors may aid in the classification and enhancement of patient outcome for this high-risk population."}
{"STANDARD_NAME":"BONOME_OVARIAN_CANCER_POOR_SURVIVAL_DN","SYSTEMATIC_NAME":"M15807","ORGANISM":"Homo sapiens","PMID":"18593951","AUTHORS":"Bonome T,Levine DA,Shih J,Randonovich M,Pise-Masison CA,Bogomolniy F,Ozbun L,Brady J,Barrett JC,Boyd J,Birrer MJ","EXACT_SOURCE":"Table 1: Cox core coefficient < 0","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top highly correlated genes negatively associated with poor survival of patients with suboptimally debulked ovarian tumors.","DESCRIPTION_FULL":"Despite the existence of morphologically indistinguishable disease, patients with advanced ovarian tumors display a broad range of survival end points. We hypothesize that gene expression profiling can identify a prognostic signature accounting for these distinct clinical outcomes. To resolve survival-associated loci, gene expression profiling was completed for an extensive set of 185 (90 optimal/95 suboptimal) primary ovarian tumors using the Affymetrix human U133A microarray. Cox regression analysis identified probe sets associated with survival in optimally and suboptimally debulked tumor sets at a P value of <0.01. Leave-one-out cross-validation was applied to each tumor cohort and confirmed by a permutation test. External validation was conducted by applying the gene signature to a publicly available array database of expression profiles of advanced stage suboptimally debulked tumors. The prognostic signature successfully classified the tumors according to survival for suboptimally (P = 0.0179) but not optimally debulked (P = 0.144) patients. The suboptimal gene signature was validated using the independent set of tumors (odds ratio, 8.75; P = 0.0146). To elucidate signaling events amenable to therapeutic intervention in suboptimally debulked patients, pathway analysis was completed for the top 57 survival-associated probe sets. For suboptimally debulked patients, confirmation of the predictive gene signature supports the existence of a clinically relevant predictor, as well as the possibility of novel therapeutic opportunities. Ultimately, the prognostic classifier defined for suboptimally debulked tumors may aid in the classification and enhancement of patient outcome for this high-risk population."}
{"STANDARD_NAME":"BONOME_OVARIAN_CANCER_SURVIVAL_OPTIMAL_DEBULKING","SYSTEMATIC_NAME":"M7068","ORGANISM":"Homo sapiens","PMID":"18593951","AUTHORS":"Bonome T,Levine DA,Shih J,Randonovich M,Pise-Masison CA,Bogomolniy F,Ozbun L,Brady J,Barrett JC,Boyd J,Birrer MJ","EXACT_SOURCE":"Table 2S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes whose expression in optimally debulked ovarian tumors is associated with survival prognosis.","DESCRIPTION_FULL":"Despite the existence of morphologically indistinguishable disease, patients with advanced ovarian tumors display a broad range of survival end points. We hypothesize that gene expression profiling can identify a prognostic signature accounting for these distinct clinical outcomes. To resolve survival-associated loci, gene expression profiling was completed for an extensive set of 185 (90 optimal/95 suboptimal) primary ovarian tumors using the Affymetrix human U133A microarray. Cox regression analysis identified probe sets associated with survival in optimally and suboptimally debulked tumor sets at a P value of <0.01. Leave-one-out cross-validation was applied to each tumor cohort and confirmed by a permutation test. External validation was conducted by applying the gene signature to a publicly available array database of expression profiles of advanced stage suboptimally debulked tumors. The prognostic signature successfully classified the tumors according to survival for suboptimally (P = 0.0179) but not optimally debulked (P = 0.144) patients. The suboptimal gene signature was validated using the independent set of tumors (odds ratio, 8.75; P = 0.0146). To elucidate signaling events amenable to therapeutic intervention in suboptimally debulked patients, pathway analysis was completed for the top 57 survival-associated probe sets. For suboptimally debulked patients, confirmation of the predictive gene signature supports the existence of a clinically relevant predictor, as well as the possibility of novel therapeutic opportunities. Ultimately, the prognostic classifier defined for suboptimally debulked tumors may aid in the classification and enhancement of patient outcome for this high-risk population."}
{"STANDARD_NAME":"GALI_TP53_TARGETS_APOPTOTIC_DN","SYSTEMATIC_NAME":"M17309","ORGANISM":"Homo sapiens","PMID":"18632613","AUTHORS":"Gali-Muhtasib H,Kuester D,Mawrin C,Bajbouj K,Diestel A,Ocker M,Habold C,Foltzer-Jourdainne C,Schoenfeld P,Peters B,Diab-Assaf M,Pommrich U,Itani W,Lippert H,Roessner A,Schneider-Stock R","EXACT_SOURCE":"Table 1S: p53 repressed","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Apoptosis genes down-regulated by TP53 [GeneID=7157] in HCT116 cells (colon cancer) treated with thymoquinone [PubChem=10281].","DESCRIPTION_FULL":"There are few reports describing the role of p53-dependent gene repression in apoptotic cell death. To identify such apoptosis-associated p53 target genes, we used the pro-oxidant plant-derived drug thymoquinone and compared p53+/+ and p53-/- colon cancer cells HCT116. The p53 wild-type (wt) status correlated with more pronounced DNA damage and higher apoptosis after thymoquinone treatment. A significant up-regulation of the survival gene CHEK1 was observed in p53-/- cells in response to thymoquinone due to the lack of transcriptional repression of p53. In p53-/- cells, transfection with p53-wt vector and CHEK1 small interfering RNA treatment decreased CHEK1 mRNA and protein levels and restored apoptosis to the levels of the p53+/+ cells. p53-/- cells transplanted to nude mice treated with thymoquinone up-regulated CHEK1 expression and did not undergo apoptosis unlike p53+/+ cells. Immunofluorescence analysis revealed that the apoptosis resistance in p53-/- cells after thymoquinone treatment might be conveyed by shuttling of CHEK1 into the nucleus. We confirmed the in vivo existence of this CHEK1/p53 link in human colorectal cancer, showing that tumors lacking p53 had higher levels of CHEK1, which was accompanied by poorer apoptosis. CHEK1 overexpression was correlated with advanced tumor stages (P = 0.03), proximal tumor localization (P = 0.02), and worse prognosis (1.9-fold risk, univariate Cox regression; Kaplan-Meier, P = 0.04). We suggest that the inhibition of the stress response sensor CHEK1 might contribute to the antineoplastic activity of specific DNA-damaging drugs."}
{"STANDARD_NAME":"MCGARVEY_SILENCED_BY_METHYLATION_IN_COLON_CANCER","SYSTEMATIC_NAME":"M8760","ORGANISM":"Homo sapiens","PMID":"18632628","AUTHORS":"McGarvey KM,Van Neste L,Cope L,Ohm JE,Herman JG,Van Criekinge W,Schuebel KE,Baylin SB","GEOID":"GSE11173","EXACT_SOURCE":"Table 1S","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes silenced in HCT116 cells (colon cancer) by methylation of CpG islands in their promoters.","DESCRIPTION_FULL":"Epigenetic gene regulation is a key determinant of heritable gene expression patterns and is critical for normal cellular function. Dysregulation of epigenetic transcriptional control is a fundamental feature of cancer, particularly manifesting as increased promoter DNA methylation with associated aberrant gene silencing, which plays a significant role in tumor progression. We now globally map key chromatin parameters for genes with promoter CpG island DNA hypermethylation in colon cancer cells by combining microarray gene expression analyses with chromatin immunoprecipitation-on-chip technology. We first show that the silent state of such genes universally correlates with a broad distribution of a low but distinct level of the PcG-mediated histone modification, methylation of lysine 27 of histone 3 (H3K27me), and a very low level of the active mark H3K4me2. This chromatin pattern, and particularly H3K4me2 levels, crisply separates DNA-hypermethylated genes from those where histone deacetylation is responsible for transcriptional silencing. Moreover, the chromatin pattern can markedly enhance identification of truly silent and DNA-hypermethylated genes. We additionally find that when DNA-hypermethylated genes are demethylated and reexpressed, they adopt a bivalent chromatin pattern, which is associated with the poised gene expression state of a large group of embryonic stem cell genes and is characterized by an increase in levels of both the H3K27me3 and H3K4me2 marks. Our data have great relevance for the increasing interest in reexpression of DNA-hypermethylated genes for the treatment of cancer."}
{"STANDARD_NAME":"WILSON_PROTEASES_AT_TUMOR_BONE_INTERFACE_DN","SYSTEMATIC_NAME":"M1794","ORGANISM":"Mus musculus","PMID":"18632634","AUTHORS":"Wilson TJ,Nannuru KC,Futakuchi M,Sadanandam A,Singh RK","EXACT_SOURCE":"Fig. 1B: green","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Protease genes down-regulated at tumor-bone interface compared to the tumor alone area.","DESCRIPTION_FULL":"Breast cancer commonly causes osteolytic metastases in bone, a process that is dependent on tumor-stromal interaction. Proteases play an important role in modulating tumor-stromal interactions in a manner that favors tumor establishment and progression. Whereas several studies have examined the role of proteases in modulating the bone microenvironment, little is currently known about their role in tumor-bone interaction during osteolytic metastasis. In cancer-induced osteolytic lesions, cleavage of receptor activator of nuclear factor-kappaB ligand (RANKL) to a soluble version (sRANKL) is critical for widespread osteoclast activation. Using a mouse model that mimics osteolytic changes associated with breast cancer-induced bone metastases, we identified cathepsin G, cathepsin K, matrix metalloproteinase (MMP)-9, and MMP13 to be proteases that are up-regulated at the tumor-bone interface using comparative cDNA microarray analysis and quantitative reverse transcription-PCR. Moreover, we showed that cathepsin G is capable of shedding the extracellular domain of RANKL, generating active sRANKL that is capable of inducing differentiation and activation of osteoclast precursors. The major source of cathepsin G at the tumor-bone interface seems to be osteoclasts that up-regulate production of cathepsin G via interaction with tumor cells. Furthermore, we showed that in vitro osteoclastogenesis is reduced by inhibition of cathepsin G in a coculture model and that in vivo inhibition of cathepsin G reduces mammary tumor-induced osteolysis. Together, our data indicate that cathepsin G activity at the tumor-bone interface plays an important role in mammary tumor-induced osteolysis and suggest that cathepsin G is a potentially novel therapeutic target in the treatment of breast cancer bone metastasis."}
{"STANDARD_NAME":"BASSO_HAIRY_CELL_LEUKEMIA_UP","SYSTEMATIC_NAME":"M13859","ORGANISM":"Homo sapiens","PMID":"14707115","AUTHORS":"Basso K,Liso A,Tiacci E,Benedetti R,Pulsoni A,Foa R,Di Raimondo F,Ambrosetti A,Califano A,Klein U,Dalla Favera R,Falini B","EXACT_SOURCE":"Table 4S; correspond to red color in Fig 4","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in hairy cell leukemia (HCL) compared with normal and other neoplastic B cell populations.","DESCRIPTION_FULL":"Hairy cell leukemia (HCL) is a chronic B cell malignancy characterized by the diffuse infiltration of bone marrow and spleen by cells displaying a typical hairy morphology. However, the nature of the HCL phenotype and its relationship to normal B cells and to other lymphoma subtypes remains unclear. Using gene expression profiling, we show here that HCL displays a homogeneous pattern of gene expression, which is clearly distinct from that of other B cell non-Hodgkin lymphomas. Comparison with the gene expression profiles of purified normal B cell subpopulations, including germinal center (GC), pre-GC (naive), and post-GC (memory) B cells, shows that HCL cells are more related to memory cells, suggesting a derivation from this B cell population. Notably, when compared with memory cells, HCL cells displayed a remarkable conservation in proliferation, apoptosis, and DNA metabolism programs, whereas they appeared significantly altered in the expression of genes controlling cell adhesion and response to chemokines. Finally, these analyses have identified several genes that are specifically expressed in HCL and whose expression was confirmed at the protein level by immunocytochemical analysis of primary HCL cases. These results have biological implications relevant to the pathogenesis of this malignancy as well as clinical implications for its diagnosis and therapy."}
{"STANDARD_NAME":"BASSO_HAIRY_CELL_LEUKEMIA_DN","SYSTEMATIC_NAME":"M10728","ORGANISM":"Homo sapiens","PMID":"14707115","AUTHORS":"Basso K,Liso A,Tiacci E,Benedetti R,Pulsoni A,Foa R,Di Raimondo F,Ambrosetti A,Califano A,Klein U,Dalla Favera R,Falini B","EXACT_SOURCE":"Table 4S; correspond to green color in Fig 4","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in hairy cell leukemia (HCL) compared with normal and other neoplastic B cell populations.","DESCRIPTION_FULL":"Hairy cell leukemia (HCL) is a chronic B cell malignancy characterized by the diffuse infiltration of bone marrow and spleen by cells displaying a typical hairy morphology. However, the nature of the HCL phenotype and its relationship to normal B cells and to other lymphoma subtypes remains unclear. Using gene expression profiling, we show here that HCL displays a homogeneous pattern of gene expression, which is clearly distinct from that of other B cell non-Hodgkin lymphomas. Comparison with the gene expression profiles of purified normal B cell subpopulations, including germinal center (GC), pre-GC (naive), and post-GC (memory) B cells, shows that HCL cells are more related to memory cells, suggesting a derivation from this B cell population. Notably, when compared with memory cells, HCL cells displayed a remarkable conservation in proliferation, apoptosis, and DNA metabolism programs, whereas they appeared significantly altered in the expression of genes controlling cell adhesion and response to chemokines. Finally, these analyses have identified several genes that are specifically expressed in HCL and whose expression was confirmed at the protein level by immunocytochemical analysis of primary HCL cases. These results have biological implications relevant to the pathogenesis of this malignancy as well as clinical implications for its diagnosis and therapy."}
{"STANDARD_NAME":"IZADPANAH_STEM_CELL_ADIPOSE_VS_BONE_UP","SYSTEMATIC_NAME":"M15887","ORGANISM":"Macaca mulatta","PMID":"18519682","AUTHORS":"Izadpanah R,Kaushal D,Kriedt C,Tsien F,Patel B,Dufour J,Bunnell BA","EXACT_SOURCE":"Table 3S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in adipose tissue mesenchymal stem cells (ASC) vs bone marrow mesenchymal stem cells (rBMSC)","DESCRIPTION_FULL":"Mesenchymal stem cells (MSC) derived from bone marrow stem cells (BMSC) and adipose tissue stem cells (ASC) of humans and rhesus macaques were evaluated for their cell cycle properties during protracted culture in vitro. Human ASCs (hASC) and rhesus BMSCs (rBMSC) underwent significantly more total population doublings than human BMSCs (hBMSC) and rhesus ASCs (rASC). The cell cycle profile of all MSCs was altered as cultures aged. hMSCs underwent an increase in the frequency of cells in the S phase at P20 and P30. However, rhesus MSCs from both sources developed a distinct polyploid population of cells at P20, which progressed to aneuploidy by P30. Karyotype analysis of MSCs revealed the development of tetraploid or aneuploid karyotypes in the rhesus cells at P20 or P30. Analysis of the transcriptome of the MSCs from early and late passages revealed significant alterations in the patterns of gene expression (8.8% of the genes were differentially expressed in hBMSCs versus hASCs, and 5.5% in rBMSCs versus rASCs). Gene expression changes were much less evident within the same cell type as aging occurred (0.7% in hMSCs and 0.9% in rMSC). Gene ontology analysis showed that functions involved in protein catabolism and regulation of pol II transcription were overrepresented in rASCs, whereas the regulation of I kappa B/nuclear factor-kappaB cascade were overrepresented in hBMSCs. Functional analysis of genes that were differentially expressed in rASCs and hBMSCs revealed that pathways involved in cell cycle, cell cycle checkpoints, protein-ubiquitination, and apoptosis were altered."}
{"STANDARD_NAME":"ZHANG_BREAST_CANCER_PROGENITORS_DN","SYSTEMATIC_NAME":"M6489","ORGANISM":"Mus musculus","PMID":"18559513","AUTHORS":"Zhang M,Behbod F,Atkinson RL,Landis MD,Kittrell F,Edwards D,Medina D,Tsimelzon A,Hilsenbeck S,Green JE,Michalowska AM,Rosen JM","GEOID":"GSE8863","EXACT_SOURCE":"Table 5S: fold < 0.5","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in cancer stem cells isolated from mammary tumors compared to the non-tumorigenic cells.","DESCRIPTION_FULL":"Using a syngeneic p53-null mouse mammary gland tumor model that closely mimics human breast cancer, we have identified, by limiting dilution transplantation and in vitro mammosphere assay, a Lin(-)CD29(H)CD24(H) subpopulation of tumor-initiating cells. Upon subsequent transplantation, this subpopulation generated heterogeneous tumors that displayed properties similar to the primary tumor. Analysis of biomarkers suggests the Lin(-)CD29(H)CD24(H) subpopulation may have arisen from a bipotent mammary progenitor. Differentially expressed genes in the Lin(-)CD29(H)CD24(H) mouse mammary gland tumor-initiating cell population include those involved in DNA damage response and repair, as well as genes involved in epigenetic regulation previously shown to be critical for stem cell self-renewal. These studies provide in vitro and in vivo data that support the cancer stem cell (CSC) hypothesis. Furthermore, this p53-null mouse mammary tumor model may allow us to identify new CSC markers and to test the functional importance of these markers."}
{"STANDARD_NAME":"MISHRA_CARCINOMA_ASSOCIATED_FIBROBLAST_DN","SYSTEMATIC_NAME":"M4577","ORGANISM":"Homo sapiens","PMID":"18519693","AUTHORS":"Mishra PJ,Humeniuk R,Medina DJ,Alexe G,Mesirov JP,Ganesan S,Glod JW,Banerjee D","GEOID":"GSE9764","EXACT_SOURCE":"p. 4335: Top 25 (of 47) down-regulated genes","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top genes down-regulated in mesenchyme stem cells (MSC) grown in a tumor conditioned medium, which leads to carcinoma-associated fibroblast phenotype.","DESCRIPTION_FULL":"Carcinoma-associated fibroblasts (CAF) have recently been implicated in important aspects of epithelial solid tumor biology, such as neoplastic progression, tumor growth, angiogenesis, and metastasis. However, neither the source of CAFs nor the differences between CAFs and fibroblasts from nonneoplastic tissue have been well defined. In this study, we show that human bone marrow-derived mesenchymal stem cells (hMSCs) exposed to tumor-conditioned medium (TCM) over a prolonged period of time assume a CAF-like myofibroblastic phenotype. More importantly, these cells exhibit functional properties of CAFs, including sustained expression of stromal-derived factor-1 (SDF-1) and the ability to promote tumor cell growth both in vitro and in an in vivo coimplantation model, and expression of myofibroblast markers, including alpha-smooth muscle actin and fibroblast surface protein. hMSCs induced to differentiate to a myofibroblast-like phenotype using 5-azacytidine do not promote tumor cell growth as efficiently as hMSCs cultured in TCM nor do they show increased SDF-1 expression. Furthermore, gene expression profiling revealed similarities between TCM-exposed hMSCs and CAFs. Taken together, these data suggest that hMSCs are a source of CAFs and can be used in the modeling of tumor-stroma interactions. To our knowledge, this is the first report showing that hMSCs become activated and resemble carcinoma-associated myofibroblasts on prolonged exposure to conditioned medium from MDAMB231 human breast cancer cells."}
{"STANDARD_NAME":"BERNARD_PPAPDC1B_TARGETS_UP","SYSTEMATIC_NAME":"M15315","ORGANISM":"Homo sapiens","PMID":"18757432","AUTHORS":"Bernard-Pierrot I,Gruel N,Stransky N,Vincent-Salomon A,Reyal F,Raynal V,Vallot C,Pierron G,Radvanyi F,Delattre O","EXACT_SOURCE":"Table 2S: up-regulated","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in ZR-75-1 cells (breast cancer, amplified 8p11-12 region) upon knockdown of PPAPDC1B [GeneID=84513] by RNAi.","DESCRIPTION_FULL":"The 8p11-12 chromosome region is one of the regions most frequently amplified in breast carcinoma (10-15% of cases). Several genes within this region have been identified as candidate oncogenes, as they are both amplified and overexpressed. However, very few studies have explored the role of these genes in cell transformation, with the aim of identifying valuable therapeutic targets. An analysis of comparative genomic hybridization array and expression profiling data for a series of 152 ductal breast carcinomas and 21 cell lines identified five genes (LSM1, BAG4, DDHD2, PPAPDC1B, and WHSC1L1) within the amplified region as consistently overexpressed due to an increased gene copy number. The use of small interfering RNA to knock down the expression of each of these genes showed the major role played by two genes, PPAPDC1B and WHSC1L1, in regulating the survival and transformation of two different cell lines harboring the 8p amplicon. The role of these two genes in cell survival and cell transformation was also confirmed by long-term knockdown expression studies using short hairpin RNAs. The potential of PPAPDC1B, which encodes a transmembrane phosphatase, as a therapeutic target was further shown by the strong inhibition of growth of breast tumor xenografts displaying 8p11-12 amplification induced by the silencing of PPAPDC1B. The oncogenic properties of PPAPDC1B were further shown by its ability to transform NIH-3T3 fibroblasts, inducing their anchorage-independent growth. Finally, microarray experiments on PPAPDC1B knockdown indicated that this gene interfered with multiple cell signaling pathways, including the Janus-activated kinase-signal transducer and activator of transcription, mitogen-activated protein kinase, and protein kinase C pathways. PPAPDC1B may also potentiate the estrogen receptor pathway by down-regulating DUSP22."}
{"STANDARD_NAME":"BERNARD_PPAPDC1B_TARGETS_DN","SYSTEMATIC_NAME":"M8123","ORGANISM":"Homo sapiens","PMID":"18757432","AUTHORS":"Bernard-Pierrot I,Gruel N,Stransky N,Vincent-Salomon A,Reyal F,Raynal V,Vallot C,Pierron G,Radvanyi F,Delattre O","EXACT_SOURCE":"Table 2S: down-regulated","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in ZR-75-1 cells (breast cancer, amplified 8p11-12 region) upon knockdown of PPAPDC1B [GeneID=84513] by RNAi.","DESCRIPTION_FULL":"The 8p11-12 chromosome region is one of the regions most frequently amplified in breast carcinoma (10-15% of cases). Several genes within this region have been identified as candidate oncogenes, as they are both amplified and overexpressed. However, very few studies have explored the role of these genes in cell transformation, with the aim of identifying valuable therapeutic targets. An analysis of comparative genomic hybridization array and expression profiling data for a series of 152 ductal breast carcinomas and 21 cell lines identified five genes (LSM1, BAG4, DDHD2, PPAPDC1B, and WHSC1L1) within the amplified region as consistently overexpressed due to an increased gene copy number. The use of small interfering RNA to knock down the expression of each of these genes showed the major role played by two genes, PPAPDC1B and WHSC1L1, in regulating the survival and transformation of two different cell lines harboring the 8p amplicon. The role of these two genes in cell survival and cell transformation was also confirmed by long-term knockdown expression studies using short hairpin RNAs. The potential of PPAPDC1B, which encodes a transmembrane phosphatase, as a therapeutic target was further shown by the strong inhibition of growth of breast tumor xenografts displaying 8p11-12 amplification induced by the silencing of PPAPDC1B. The oncogenic properties of PPAPDC1B were further shown by its ability to transform NIH-3T3 fibroblasts, inducing their anchorage-independent growth. Finally, microarray experiments on PPAPDC1B knockdown indicated that this gene interfered with multiple cell signaling pathways, including the Janus-activated kinase-signal transducer and activator of transcription, mitogen-activated protein kinase, and protein kinase C pathways. PPAPDC1B may also potentiate the estrogen receptor pathway by down-regulating DUSP22."}
{"STANDARD_NAME":"EHLERS_ANEUPLOIDY_UP","SYSTEMATIC_NAME":"M7775","ORGANISM":"Homo sapiens","PMID":"18172260","AUTHORS":"Ehlers JP,Worley L,Onken MD,Harbour JW","EXACT_SOURCE":"Fig. 5A: UP in low aneuploidy, DOWN in high aneuploidy","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Up-regulated genes in the expression signature of aneuploidy in uveal melanoma tumors: low vs high aneuploidy.","DESCRIPTION_FULL":"PURPOSE: Aneuploidy is a hallmark of cancer and is closely linked to metastasis and poor clinical outcome. Yet, the mechanisms leading to aneuploidy and its role in tumor progression remain poorly understood. The extensive and complex karyotypic abnormalities seen in many solid tumors could hinder the identification of pathogenetically relevant chromosomal alterations. Uveal melanoma is an attractive solid tumor for studying aneuploidy because it is a relatively homogeneous cancer that is highly metastatic and has low nonspecific chromosomal instability. EXPERIMENTAL DESIGN: Comparative genomic hybridization and gene expression profiling were used to analyze patterns of aneuploidy in 49 primary uveal melanomas. This analysis was supplemented by a review of cytogenetic findings in 336 published cases. RESULTS: Three prognostically significant tumor subgroups were identified based on the status of chromosomes 3 and 6p. Discrete patterns of chromosomal alterations accumulated in these three subgroups in a nonrandom temporal sequence. Poor clinical outcome was associated with early chromosomal alterations rather than overall aneuploidy. A gene expression signature associated with aneuploidy was enriched for genes involved in cell cycle regulation, centrosome function, and DNA damage repair. One of these genes was PTEN, a tumor suppressor and genomic integrity guardian, which was down-regulated in association with increasing aneuploidy (P = 0.003). CONCLUSIONS: The relationship between aneuploidy and poor prognosis may be determined by specific, pathogenetically relevant chromosomal alterations, rather than overall aneuploidy. Such alterations can be identified using integrative genomic methods and may provide insights for novel therapeutic approaches."}
{"STANDARD_NAME":"EHLERS_ANEUPLOIDY_DN","SYSTEMATIC_NAME":"M2785","ORGANISM":"Homo sapiens","PMID":"18172260","AUTHORS":"Ehlers JP,Worley L,Onken MD,Harbour JW","EXACT_SOURCE":"Fig. 5A: DOWN in low aneuploidy, UP in high aneuploidy","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated genes in the expression signature of aneuploidy in uveal melanoma tumors: low vs high aneuploidy.","DESCRIPTION_FULL":"PURPOSE: Aneuploidy is a hallmark of cancer and is closely linked to metastasis and poor clinical outcome. Yet, the mechanisms leading to aneuploidy and its role in tumor progression remain poorly understood. The extensive and complex karyotypic abnormalities seen in many solid tumors could hinder the identification of pathogenetically relevant chromosomal alterations. Uveal melanoma is an attractive solid tumor for studying aneuploidy because it is a relatively homogeneous cancer that is highly metastatic and has low nonspecific chromosomal instability. EXPERIMENTAL DESIGN: Comparative genomic hybridization and gene expression profiling were used to analyze patterns of aneuploidy in 49 primary uveal melanomas. This analysis was supplemented by a review of cytogenetic findings in 336 published cases. RESULTS: Three prognostically significant tumor subgroups were identified based on the status of chromosomes 3 and 6p. Discrete patterns of chromosomal alterations accumulated in these three subgroups in a nonrandom temporal sequence. Poor clinical outcome was associated with early chromosomal alterations rather than overall aneuploidy. A gene expression signature associated with aneuploidy was enriched for genes involved in cell cycle regulation, centrosome function, and DNA damage repair. One of these genes was PTEN, a tumor suppressor and genomic integrity guardian, which was down-regulated in association with increasing aneuploidy (P = 0.003). CONCLUSIONS: The relationship between aneuploidy and poor prognosis may be determined by specific, pathogenetically relevant chromosomal alterations, rather than overall aneuploidy. Such alterations can be identified using integrative genomic methods and may provide insights for novel therapeutic approaches."}
{"STANDARD_NAME":"ZHENG_GLIOBLASTOMA_PLASTICITY_DN","SYSTEMATIC_NAME":"M1797","ORGANISM":"Mus musculus","PMID":"18948956","AUTHORS":"Zheng H,Ying H,Yan H,Kimmelman AC,Hiller DJ,Chen AJ,Perry SR,Tonon G,Chu GC,Ding Z,Stommel JM,Dunn KL,Wiedemeyer R,You MJ,Brennan C,Wang YA,Ligon KL,Wong WH,Chin L,DePinho RA","GEOID":"GSE12694","EXACT_SOURCE":"Table 2S","CHIP":"Mouse_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"The glioblastoma multiforme (GBM) plasticity signature: genes down-regulated in neural stem cells (NSC) with double knockout of TP53 and PTEN [GeneID=7157;5728] vs those with knockout of TP53 alone.","DESCRIPTION_FULL":"Glioblastoma (GBM) is a highly lethal brain tumour presenting as one of two subtypes with distinct clinical histories and molecular profiles. The primary GBM subtype presents acutely as a high-grade disease that typically harbours mutations in EGFR, PTEN and INK4A/ARF (also known as CDKN2A), and the secondary GBM subtype evolves from the slow progression of a low-grade disease that classically possesses PDGF and TP53 events. Here we show that concomitant central nervous system (CNS)-specific deletion of p53 and Pten in the mouse CNS generates a penetrant acute-onset high-grade malignant glioma phenotype with notable clinical, pathological and molecular resemblance to primary GBM in humans. This genetic observation prompted TP53 and PTEN mutational analysis in human primary GBM, demonstrating unexpectedly frequent inactivating mutations of TP53 as well as the expected PTEN mutations. Integrated transcriptomic profiling, in silico promoter analysis and functional studies of murine neural stem cells (NSCs) established that dual, but not singular, inactivation of p53 and Pten promotes an undifferentiated state with high renewal potential and drives increased Myc protein levels and its associated signature. Functional studies validated increased Myc activity as a potent contributor to the impaired differentiation and enhanced renewal of NSCs doubly null for p53 and Pten (p53(-/-) Pten(-/-)) as well as tumour neurospheres (TNSs) derived from this model. Myc also serves to maintain robust tumorigenic potential of p53(-/-) Pten(-/-) TNSs. These murine modelling studies, together with confirmatory transcriptomic/promoter studies in human primary GBM, validate a pathogenetic role of a common tumour suppressor mutation profile in human primary GBM and establish Myc as an important target for cooperative actions of p53 and Pten in the regulation of normal and malignant stem/progenitor cell differentiation, self-renewal and tumorigenic potential."}
{"STANDARD_NAME":"BUCKANOVICH_T_LYMPHOCYTE_HOMING_ON_TUMOR_UP","SYSTEMATIC_NAME":"M17086","ORGANISM":"Homo sapiens","PMID":"18157142","AUTHORS":"Buckanovich RJ,Facciabene A,Kim S,Benencia F,Sasaroli D,Balint K,Katsaros D,O'Brien-Jenkins A,Gimotty PA,Coukos G","EXACT_SOURCE":"Fig. 2B: UP in TIL+","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in microdissected endothelial samples from ovarian cancer tumors with tumor-infiltrating lymphocytes (TIL) vs those without TILs.","DESCRIPTION_FULL":"In spite of their having sufficient immunogenicity, tumor vaccines remain largely ineffective. The mechanisms underlying this lack of efficacy are still unclear. Here we report a previously undescribed mechanism by which the tumor endothelium prevents T cell homing and hinders tumor immunotherapy. Transcriptional profiling of microdissected tumor endothelial cells from human ovarian cancers revealed genes associated with the absence or presence of tumor-infiltrating lymphocytes (TILs). Overexpression of the endothelin B receptor (ET(B)R) was associated with the absence of TILs and short patient survival time. The ET(B)R inhibitor BQ-788 increased T cell adhesion to human endothelium in vitro, an effect countered by intercellular adhesion molecule-1 (ICAM-1) blockade or treatment with NO donors. In mice, ET(B)R neutralization by BQ-788 increased T cell homing to tumors; this homing required ICAM-1 and enabled tumor response to otherwise ineffective immunotherapy in vivo without changes in systemic antitumor immune response. These findings highlight a molecular mechanism with the potential to be pharmacologically manipulated to enhance the efficacy of tumor immunotherapy in humans."}
{"STANDARD_NAME":"BUCKANOVICH_T_LYMPHOCYTE_HOMING_ON_TUMOR_DN","SYSTEMATIC_NAME":"M487","ORGANISM":"Homo sapiens","PMID":"18157142","AUTHORS":"Buckanovich RJ,Facciabene A,Kim S,Benencia F,Sasaroli D,Balint K,Katsaros D,O'Brien-Jenkins A,Gimotty PA,Coukos G","EXACT_SOURCE":"Fig. 2B: UP in TIL-","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in microdissected endothelial samples from ovarian cancer tumors with tumor-infiltrating lymphocytes (TIL) vs those without TILs.","DESCRIPTION_FULL":"In spite of their having sufficient immunogenicity, tumor vaccines remain largely ineffective. The mechanisms underlying this lack of efficacy are still unclear. Here we report a previously undescribed mechanism by which the tumor endothelium prevents T cell homing and hinders tumor immunotherapy. Transcriptional profiling of microdissected tumor endothelial cells from human ovarian cancers revealed genes associated with the absence or presence of tumor-infiltrating lymphocytes (TILs). Overexpression of the endothelin B receptor (ET(B)R) was associated with the absence of TILs and short patient survival time. The ET(B)R inhibitor BQ-788 increased T cell adhesion to human endothelium in vitro, an effect countered by intercellular adhesion molecule-1 (ICAM-1) blockade or treatment with NO donors. In mice, ET(B)R neutralization by BQ-788 increased T cell homing to tumors; this homing required ICAM-1 and enabled tumor response to otherwise ineffective immunotherapy in vivo without changes in systemic antitumor immune response. These findings highlight a molecular mechanism with the potential to be pharmacologically manipulated to enhance the efficacy of tumor immunotherapy in humans."}
{"STANDARD_NAME":"ZHENG_IL22_SIGNALING_UP","SYSTEMATIC_NAME":"M1800","ORGANISM":"Mus musculus","PMID":"18264109","AUTHORS":"Zheng Y,Valdez PA,Danilenko DM,Hu Y,Sa SM,Gong Q,Abbas AR,Modrusan Z,Ghilardi N,de Sauvage FJ,Ouyang W","GEOID":"GSE10010","EXACT_SOURCE":"Table 1S","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in ex-vivo colonic tissue after treatment with IL22 [GeneID=50616].","DESCRIPTION_FULL":"Infections by attaching and effacing (A/E) bacterial pathogens, such as Escherichia coli O157:H7, pose a serious threat to public health. Using a mouse A/E pathogen, Citrobacter rodentium, we show that interleukin-22 (IL-22) has a crucial role in the early phase of host defense against C. rodentium. Infection of IL-22 knockout mice results in increased intestinal epithelial damage, systemic bacterial burden and mortality. We also find that IL-23 is required for the early induction of IL-22 during C. rodentium infection, and adaptive immunity is not essential for the protective role of IL-22 in this model. Instead, IL-22 is required for the direct induction of the Reg family of antimicrobial proteins, including RegIIIbeta and RegIIIgamma, in colonic epithelial cells. Exogenous mouse or human RegIIIgamma substantially improves survival of IL-22 knockout mice after C. rodentium infection. Together, our data identify a new innate immune function for IL-22 in regulating early defense mechanisms against A/E bacterial pathogens."}
{"STANDARD_NAME":"ZHENG_IL22_SIGNALING_DN","SYSTEMATIC_NAME":"M1802","ORGANISM":"Mus musculus","PMID":"18264109","AUTHORS":"Zheng Y,Valdez PA,Danilenko DM,Hu Y,Sa SM,Gong Q,Abbas AR,Modrusan Z,Ghilardi N,de Sauvage FJ,Ouyang W","GEOID":"GSE10010","EXACT_SOURCE":"Table 1S","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in ex-vivo colonic tissue after treatment with IL22 [GeneID=50616].","DESCRIPTION_FULL":"Infections by attaching and effacing (A/E) bacterial pathogens, such as Escherichia coli O157:H7, pose a serious threat to public health. Using a mouse A/E pathogen, Citrobacter rodentium, we show that interleukin-22 (IL-22) has a crucial role in the early phase of host defense against C. rodentium. Infection of IL-22 knockout mice results in increased intestinal epithelial damage, systemic bacterial burden and mortality. We also find that IL-23 is required for the early induction of IL-22 during C. rodentium infection, and adaptive immunity is not essential for the protective role of IL-22 in this model. Instead, IL-22 is required for the direct induction of the Reg family of antimicrobial proteins, including RegIIIbeta and RegIIIgamma, in colonic epithelial cells. Exogenous mouse or human RegIIIgamma substantially improves survival of IL-22 knockout mice after C. rodentium infection. Together, our data identify a new innate immune function for IL-22 in regulating early defense mechanisms against A/E bacterial pathogens."}
{"STANDARD_NAME":"MATZUK_CUMULUS_EXPANSION","SYSTEMATIC_NAME":"M1809","ORGANISM":"Mus musculus","PMID":"18989307","AUTHORS":"Matzuk MM,Lamb DJ","EXACT_SOURCE":"Fig. 4: Cumulus Expansion","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes important for cumulus expansion, based on mouse models with female fertility defects.","DESCRIPTION_FULL":"Reproduction is required for the survival of all mammalian species, and thousands of essential 'sex' genes are conserved through evolution. Basic research helps to define these genes and the mechanisms responsible for the development, function and regulation of the male and female reproductive systems. However, many infertile couples continue to be labeled with the diagnosis of idiopathic infertility or given descriptive diagnoses that do not provide a cause for their defect. For other individuals with a known etiology, effective cures are lacking, although their infertility is often bypassed with assisted reproductive technologies (ART), some accompanied by safety or ethical concerns. Certainly, progress in the field of reproduction has been realized in the twenty-first century with advances in the understanding of the regulation of fertility, with the production of over 400 mutant mouse models with a reproductive phenotype and with the promise of regenerative gonadal stem cells. Indeed, the past six years have witnessed a virtual explosion in the identification of gene mutations or polymorphisms that cause or are linked to human infertility. Translation of these findings to the clinic remains slow, however, as do new methods to diagnose and treat infertile couples. Additionally, new approaches to contraception remain elusive. Nevertheless, the basic and clinical advances in the understanding of the molecular controls of reproduction are impressive and will ultimately improve patient care."}
{"STANDARD_NAME":"MATZUK_FERTILIZATION","SYSTEMATIC_NAME":"M1811","ORGANISM":"Mus musculus","PMID":"18989307","AUTHORS":"Matzuk MM,Lamb DJ","EXACT_SOURCE":"Fig. 4: Fertilization","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes important for fertilization, based on mouse models with female fertility defects.","DESCRIPTION_FULL":"Reproduction is required for the survival of all mammalian species, and thousands of essential 'sex' genes are conserved through evolution. Basic research helps to define these genes and the mechanisms responsible for the development, function and regulation of the male and female reproductive systems. However, many infertile couples continue to be labeled with the diagnosis of idiopathic infertility or given descriptive diagnoses that do not provide a cause for their defect. For other individuals with a known etiology, effective cures are lacking, although their infertility is often bypassed with assisted reproductive technologies (ART), some accompanied by safety or ethical concerns. Certainly, progress in the field of reproduction has been realized in the twenty-first century with advances in the understanding of the regulation of fertility, with the production of over 400 mutant mouse models with a reproductive phenotype and with the promise of regenerative gonadal stem cells. Indeed, the past six years have witnessed a virtual explosion in the identification of gene mutations or polymorphisms that cause or are linked to human infertility. Translation of these findings to the clinic remains slow, however, as do new methods to diagnose and treat infertile couples. Additionally, new approaches to contraception remain elusive. Nevertheless, the basic and clinical advances in the understanding of the molecular controls of reproduction are impressive and will ultimately improve patient care."}
{"STANDARD_NAME":"MATZUK_MATERNAL_EFFECT","SYSTEMATIC_NAME":"M1812","ORGANISM":"Mus musculus","PMID":"18989307","AUTHORS":"Matzuk MM,Lamb DJ","EXACT_SOURCE":"Fig. 4: Maternal Effect","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Maternal effect genes, based on mouse models wih female fertility defects.","DESCRIPTION_FULL":"Reproduction is required for the survival of all mammalian species, and thousands of essential 'sex' genes are conserved through evolution. Basic research helps to define these genes and the mechanisms responsible for the development, function and regulation of the male and female reproductive systems. However, many infertile couples continue to be labeled with the diagnosis of idiopathic infertility or given descriptive diagnoses that do not provide a cause for their defect. For other individuals with a known etiology, effective cures are lacking, although their infertility is often bypassed with assisted reproductive technologies (ART), some accompanied by safety or ethical concerns. Certainly, progress in the field of reproduction has been realized in the twenty-first century with advances in the understanding of the regulation of fertility, with the production of over 400 mutant mouse models with a reproductive phenotype and with the promise of regenerative gonadal stem cells. Indeed, the past six years have witnessed a virtual explosion in the identification of gene mutations or polymorphisms that cause or are linked to human infertility. Translation of these findings to the clinic remains slow, however, as do new methods to diagnose and treat infertile couples. Additionally, new approaches to contraception remain elusive. Nevertheless, the basic and clinical advances in the understanding of the molecular controls of reproduction are impressive and will ultimately improve patient care."}
{"STANDARD_NAME":"MATZUK_IMPLANTATION_AND_UTERINE","SYSTEMATIC_NAME":"M1813","ORGANISM":"Mus musculus","PMID":"18989307","AUTHORS":"Matzuk MM,Lamb DJ","EXACT_SOURCE":"Fig. 4: Implantation and Uterine","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes important for implantation and uterine, based on mouse models with female fertility defects.","DESCRIPTION_FULL":"Reproduction is required for the survival of all mammalian species, and thousands of essential 'sex' genes are conserved through evolution. Basic research helps to define these genes and the mechanisms responsible for the development, function and regulation of the male and female reproductive systems. However, many infertile couples continue to be labeled with the diagnosis of idiopathic infertility or given descriptive diagnoses that do not provide a cause for their defect. For other individuals with a known etiology, effective cures are lacking, although their infertility is often bypassed with assisted reproductive technologies (ART), some accompanied by safety or ethical concerns. Certainly, progress in the field of reproduction has been realized in the twenty-first century with advances in the understanding of the regulation of fertility, with the production of over 400 mutant mouse models with a reproductive phenotype and with the promise of regenerative gonadal stem cells. Indeed, the past six years have witnessed a virtual explosion in the identification of gene mutations or polymorphisms that cause or are linked to human infertility. Translation of these findings to the clinic remains slow, however, as do new methods to diagnose and treat infertile couples. Additionally, new approaches to contraception remain elusive. Nevertheless, the basic and clinical advances in the understanding of the molecular controls of reproduction are impressive and will ultimately improve patient care."}
{"STANDARD_NAME":"MATZUK_POSTIMPLANTATION_AND_POSTPARTUM","SYSTEMATIC_NAME":"M1815","ORGANISM":"Mus musculus","PMID":"18989307","AUTHORS":"Matzuk MM,Lamb DJ","EXACT_SOURCE":"Fig. 4: Post-implantation and post-partum","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes important for post-implantation and post-partum, based on mouse models with female fertility defects.","DESCRIPTION_FULL":"Reproduction is required for the survival of all mammalian species, and thousands of essential 'sex' genes are conserved through evolution. Basic research helps to define these genes and the mechanisms responsible for the development, function and regulation of the male and female reproductive systems. However, many infertile couples continue to be labeled with the diagnosis of idiopathic infertility or given descriptive diagnoses that do not provide a cause for their defect. For other individuals with a known etiology, effective cures are lacking, although their infertility is often bypassed with assisted reproductive technologies (ART), some accompanied by safety or ethical concerns. Certainly, progress in the field of reproduction has been realized in the twenty-first century with advances in the understanding of the regulation of fertility, with the production of over 400 mutant mouse models with a reproductive phenotype and with the promise of regenerative gonadal stem cells. Indeed, the past six years have witnessed a virtual explosion in the identification of gene mutations or polymorphisms that cause or are linked to human infertility. Translation of these findings to the clinic remains slow, however, as do new methods to diagnose and treat infertile couples. Additionally, new approaches to contraception remain elusive. Nevertheless, the basic and clinical advances in the understanding of the molecular controls of reproduction are impressive and will ultimately improve patient care."}
{"STANDARD_NAME":"MATZUK_STEROIDOGENESIS","SYSTEMATIC_NAME":"M1818","ORGANISM":"Mus musculus","PMID":"18989307","AUTHORS":"Matzuk MM,Lamb DJ","EXACT_SOURCE":"Fig. 4: Steroidogenesis","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes important for steroidogenesis, based on mouse models with female fertility defects.","DESCRIPTION_FULL":"Reproduction is required for the survival of all mammalian species, and thousands of essential 'sex' genes are conserved through evolution. Basic research helps to define these genes and the mechanisms responsible for the development, function and regulation of the male and female reproductive systems. However, many infertile couples continue to be labeled with the diagnosis of idiopathic infertility or given descriptive diagnoses that do not provide a cause for their defect. For other individuals with a known etiology, effective cures are lacking, although their infertility is often bypassed with assisted reproductive technologies (ART), some accompanied by safety or ethical concerns. Certainly, progress in the field of reproduction has been realized in the twenty-first century with advances in the understanding of the regulation of fertility, with the production of over 400 mutant mouse models with a reproductive phenotype and with the promise of regenerative gonadal stem cells. Indeed, the past six years have witnessed a virtual explosion in the identification of gene mutations or polymorphisms that cause or are linked to human infertility. Translation of these findings to the clinic remains slow, however, as do new methods to diagnose and treat infertile couples. Additionally, new approaches to contraception remain elusive. Nevertheless, the basic and clinical advances in the understanding of the molecular controls of reproduction are impressive and will ultimately improve patient care."}
{"STANDARD_NAME":"MATZUK_CENTRAL_FOR_FEMALE_FERTILITY","SYSTEMATIC_NAME":"M1820","ORGANISM":"Mus musculus","PMID":"18989307","AUTHORS":"Matzuk MM,Lamb DJ","EXACT_SOURCE":"Fig. 4: Central","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes central for female fertility pathways, based on mouse models with female fertility defects.","DESCRIPTION_FULL":"Reproduction is required for the survival of all mammalian species, and thousands of essential 'sex' genes are conserved through evolution. Basic research helps to define these genes and the mechanisms responsible for the development, function and regulation of the male and female reproductive systems. However, many infertile couples continue to be labeled with the diagnosis of idiopathic infertility or given descriptive diagnoses that do not provide a cause for their defect. For other individuals with a known etiology, effective cures are lacking, although their infertility is often bypassed with assisted reproductive technologies (ART), some accompanied by safety or ethical concerns. Certainly, progress in the field of reproduction has been realized in the twenty-first century with advances in the understanding of the regulation of fertility, with the production of over 400 mutant mouse models with a reproductive phenotype and with the promise of regenerative gonadal stem cells. Indeed, the past six years have witnessed a virtual explosion in the identification of gene mutations or polymorphisms that cause or are linked to human infertility. Translation of these findings to the clinic remains slow, however, as do new methods to diagnose and treat infertile couples. Additionally, new approaches to contraception remain elusive. Nevertheless, the basic and clinical advances in the understanding of the molecular controls of reproduction are impressive and will ultimately improve patient care."}
{"STANDARD_NAME":"MATZUK_EMBRYONIC_GERM_CELL","SYSTEMATIC_NAME":"M1821","ORGANISM":"Mus musculus","PMID":"18989307","AUTHORS":"Matzuk MM,Lamb DJ","EXACT_SOURCE":"Fig. 4: Embryonic germ cell","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes important for embryonic germ cell, based on mouse models with female fertility defects.","DESCRIPTION_FULL":"Reproduction is required for the survival of all mammalian species, and thousands of essential 'sex' genes are conserved through evolution. Basic research helps to define these genes and the mechanisms responsible for the development, function and regulation of the male and female reproductive systems. However, many infertile couples continue to be labeled with the diagnosis of idiopathic infertility or given descriptive diagnoses that do not provide a cause for their defect. For other individuals with a known etiology, effective cures are lacking, although their infertility is often bypassed with assisted reproductive technologies (ART), some accompanied by safety or ethical concerns. Certainly, progress in the field of reproduction has been realized in the twenty-first century with advances in the understanding of the regulation of fertility, with the production of over 400 mutant mouse models with a reproductive phenotype and with the promise of regenerative gonadal stem cells. Indeed, the past six years have witnessed a virtual explosion in the identification of gene mutations or polymorphisms that cause or are linked to human infertility. Translation of these findings to the clinic remains slow, however, as do new methods to diagnose and treat infertile couples. Additionally, new approaches to contraception remain elusive. Nevertheless, the basic and clinical advances in the understanding of the molecular controls of reproduction are impressive and will ultimately improve patient care."}
{"STANDARD_NAME":"MATZUK_EARLY_ANTRAL_FOLLICLE","SYSTEMATIC_NAME":"M1822","ORGANISM":"Mus musculus","PMID":"18989307","AUTHORS":"Matzuk MM,Lamb DJ","EXACT_SOURCE":"Fig. 4: Early antral follicle","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes important for early anral follicle, based on mouse models with female fertility defects.","DESCRIPTION_FULL":"Reproduction is required for the survival of all mammalian species, and thousands of essential 'sex' genes are conserved through evolution. Basic research helps to define these genes and the mechanisms responsible for the development, function and regulation of the male and female reproductive systems. However, many infertile couples continue to be labeled with the diagnosis of idiopathic infertility or given descriptive diagnoses that do not provide a cause for their defect. For other individuals with a known etiology, effective cures are lacking, although their infertility is often bypassed with assisted reproductive technologies (ART), some accompanied by safety or ethical concerns. Certainly, progress in the field of reproduction has been realized in the twenty-first century with advances in the understanding of the regulation of fertility, with the production of over 400 mutant mouse models with a reproductive phenotype and with the promise of regenerative gonadal stem cells. Indeed, the past six years have witnessed a virtual explosion in the identification of gene mutations or polymorphisms that cause or are linked to human infertility. Translation of these findings to the clinic remains slow, however, as do new methods to diagnose and treat infertile couples. Additionally, new approaches to contraception remain elusive. Nevertheless, the basic and clinical advances in the understanding of the molecular controls of reproduction are impressive and will ultimately improve patient care."}
{"STANDARD_NAME":"MATZUK_LUTEAL_GENES","SYSTEMATIC_NAME":"M1824","ORGANISM":"Mus musculus","PMID":"18989307","AUTHORS":"Matzuk MM,Lamb DJ","EXACT_SOURCE":"Fig. 4: Luteal","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Luteal genes, based on mouse models with female fertility defects.","DESCRIPTION_FULL":"Reproduction is required for the survival of all mammalian species, and thousands of essential 'sex' genes are conserved through evolution. Basic research helps to define these genes and the mechanisms responsible for the development, function and regulation of the male and female reproductive systems. However, many infertile couples continue to be labeled with the diagnosis of idiopathic infertility or given descriptive diagnoses that do not provide a cause for their defect. For other individuals with a known etiology, effective cures are lacking, although their infertility is often bypassed with assisted reproductive technologies (ART), some accompanied by safety or ethical concerns. Certainly, progress in the field of reproduction has been realized in the twenty-first century with advances in the understanding of the regulation of fertility, with the production of over 400 mutant mouse models with a reproductive phenotype and with the promise of regenerative gonadal stem cells. Indeed, the past six years have witnessed a virtual explosion in the identification of gene mutations or polymorphisms that cause or are linked to human infertility. Translation of these findings to the clinic remains slow, however, as do new methods to diagnose and treat infertile couples. Additionally, new approaches to contraception remain elusive. Nevertheless, the basic and clinical advances in the understanding of the molecular controls of reproduction are impressive and will ultimately improve patient care."}
{"STANDARD_NAME":"MATZUK_PREOVULATORY_FOLLICLE","SYSTEMATIC_NAME":"M1827","ORGANISM":"Mus musculus","PMID":"18989307","AUTHORS":"Matzuk MM,Lamb DJ","EXACT_SOURCE":"Fig. 4: Preovulatory follicle","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes important for preovulatory follicle, based on mouse models with female fertility defects.","DESCRIPTION_FULL":"Reproduction is required for the survival of all mammalian species, and thousands of essential 'sex' genes are conserved through evolution. Basic research helps to define these genes and the mechanisms responsible for the development, function and regulation of the male and female reproductive systems. However, many infertile couples continue to be labeled with the diagnosis of idiopathic infertility or given descriptive diagnoses that do not provide a cause for their defect. For other individuals with a known etiology, effective cures are lacking, although their infertility is often bypassed with assisted reproductive technologies (ART), some accompanied by safety or ethical concerns. Certainly, progress in the field of reproduction has been realized in the twenty-first century with advances in the understanding of the regulation of fertility, with the production of over 400 mutant mouse models with a reproductive phenotype and with the promise of regenerative gonadal stem cells. Indeed, the past six years have witnessed a virtual explosion in the identification of gene mutations or polymorphisms that cause or are linked to human infertility. Translation of these findings to the clinic remains slow, however, as do new methods to diagnose and treat infertile couples. Additionally, new approaches to contraception remain elusive. Nevertheless, the basic and clinical advances in the understanding of the molecular controls of reproduction are impressive and will ultimately improve patient care."}
{"STANDARD_NAME":"MATZUK_MALE_REPRODUCTION_SERTOLI","SYSTEMATIC_NAME":"M1828","ORGANISM":"Mus musculus","PMID":"18989307","AUTHORS":"Matzuk MM,Lamb DJ","EXACT_SOURCE":"Fig. 5: Sertoli, peritubular, Leydig and/or interstitial cells","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes important for Sertoli, peritubular, Leydig and interstitial cells, based on mouse models with male reproductive defects.","DESCRIPTION_FULL":"Reproduction is required for the survival of all mammalian species, and thousands of essential 'sex' genes are conserved through evolution. Basic research helps to define these genes and the mechanisms responsible for the development, function and regulation of the male and female reproductive systems. However, many infertile couples continue to be labeled with the diagnosis of idiopathic infertility or given descriptive diagnoses that do not provide a cause for their defect. For other individuals with a known etiology, effective cures are lacking, although their infertility is often bypassed with assisted reproductive technologies (ART), some accompanied by safety or ethical concerns. Certainly, progress in the field of reproduction has been realized in the twenty-first century with advances in the understanding of the regulation of fertility, with the production of over 400 mutant mouse models with a reproductive phenotype and with the promise of regenerative gonadal stem cells. Indeed, the past six years have witnessed a virtual explosion in the identification of gene mutations or polymorphisms that cause or are linked to human infertility. Translation of these findings to the clinic remains slow, however, as do new methods to diagnose and treat infertile couples. Additionally, new approaches to contraception remain elusive. Nevertheless, the basic and clinical advances in the understanding of the molecular controls of reproduction are impressive and will ultimately improve patient care."}
{"STANDARD_NAME":"MATZUK_SPERMATOGONIA","SYSTEMATIC_NAME":"M1829","ORGANISM":"Mus musculus","PMID":"18989307","AUTHORS":"Matzuk MM,Lamb DJ","EXACT_SOURCE":"Fig. 5: Spermatogonia","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes important for spermatogonia, based on mouse models with male reproductive defects.","DESCRIPTION_FULL":"Reproduction is required for the survival of all mammalian species, and thousands of essential 'sex' genes are conserved through evolution. Basic research helps to define these genes and the mechanisms responsible for the development, function and regulation of the male and female reproductive systems. However, many infertile couples continue to be labeled with the diagnosis of idiopathic infertility or given descriptive diagnoses that do not provide a cause for their defect. For other individuals with a known etiology, effective cures are lacking, although their infertility is often bypassed with assisted reproductive technologies (ART), some accompanied by safety or ethical concerns. Certainly, progress in the field of reproduction has been realized in the twenty-first century with advances in the understanding of the regulation of fertility, with the production of over 400 mutant mouse models with a reproductive phenotype and with the promise of regenerative gonadal stem cells. Indeed, the past six years have witnessed a virtual explosion in the identification of gene mutations or polymorphisms that cause or are linked to human infertility. Translation of these findings to the clinic remains slow, however, as do new methods to diagnose and treat infertile couples. Additionally, new approaches to contraception remain elusive. Nevertheless, the basic and clinical advances in the understanding of the molecular controls of reproduction are impressive and will ultimately improve patient care."}
{"STANDARD_NAME":"BONCI_TARGETS_OF_MIR15A_AND_MIR16_1","SYSTEMATIC_NAME":"M11682","ORGANISM":"Homo sapiens","PMID":"18931683","AUTHORS":"Bonci D,Coppola V,Musumeci M,Addario A,Giuffrida R,Memeo L,D'Urso L,Pagliuca A,Biffoni M,Labbaye C,Bartucci M,Muto G,Peschle C,De Maria R","EXACT_SOURCE":"Table 2S","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Potential targets of MIR15A and MIR16-1 [GeneID=406948;406950] microRNAs in prostate cancer.","DESCRIPTION_FULL":"MicroRNAs (miRNAs) are noncoding small RNAs that repress protein translation by targeting specific messenger RNAs. miR-15a and miR-16-1 act as putative tumor suppressors by targeting the oncogene BCL2. These miRNAs form a cluster at the chromosomal region 13q14, which is frequently deleted in cancer. Here, we report that the miR-15a and miR-16-1 cluster targets CCND1 (encoding cyclin D1) and WNT3A, which promotes several tumorigenic features such as survival, proliferation and invasion. In cancer cells of advanced prostate tumors, the miR-15a and miR-16 level is significantly decreased, whereas the expression of BCL2, CCND1 and WNT3A is inversely upregulated. Delivery of antagomirs specific for miR-15a and miR-16 to normal mouse prostate results in marked hyperplasia, and knockdown of miR-15a and miR-16 promotes survival, proliferation and invasiveness of untransformed prostate cells, which become tumorigenic in immunodeficient NOD-SCID mice. Conversely, reconstitution of miR-15a and miR-16-1 expression results in growth arrest, apoptosis and marked regression of prostate tumor xenografts. Altogether, we propose that miR-15a and miR-16 act as tumor suppressor genes in prostate cancer through the control of cell survival, proliferation and invasion. These findings have therapeutic implications and may be exploited for future treatment of prostate cancer."}
{"STANDARD_NAME":"CHUNG_BLISTER_CYTOTOXICITY_DN","SYSTEMATIC_NAME":"M10850","ORGANISM":"Homo sapiens","PMID":"19029983","AUTHORS":"Chung WH,Hung SI,Yang JY,Su SC,Huang SP,Wei CY,Chin SW,Chiou CC,Chu SC,Ho HC,Yang CH,Lu CF,Wu JY,Liao YD,Chen YT","GEOID":"GSE13726,GSE13727","EXACT_SOURCE":"Table 2S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in blister cells from patients with adverse drug reactions (ADR).","DESCRIPTION_FULL":"Stevens-Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN) are life-threatening adverse drug reactions characterized by massive epidermal necrosis, in which the specific danger signals involved remain unclear. Here we show that blister cells from skin lesions of SJS-TEN primarily consist of cytotoxic T lymphocytes (CTLs) and natural killer (NK) cells, and both blister fluids and cells were cytotoxic. Gene expression profiling identified granulysin as the most highly expressed cytotoxic molecule, confirmed by quantitative PCR and immunohistochemistry. Granulysin concentrations in the blister fluids were two to four orders of magnitude higher than perforin, granzyme B or soluble Fas ligand concentrations, and depleting granulysin reduced the cytotoxicity. Granulysin in the blister fluids was a 15-kDa secretory form, and injection of it into mouse skin resulted in features mimicking SJS-TEN. Our findings demonstrate that secretory granulysin is a key molecule responsible for the disseminated keratinocyte death in SJS-TEN and highlight a mechanism for CTL- or NK cell--mediated cytotoxicity that does not require direct cellular contact."}
{"STANDARD_NAME":"GRADE_COLON_AND_RECTAL_CANCER_DN","SYSTEMATIC_NAME":"M15780","ORGANISM":"Homo sapiens","PMID":"17210682","AUTHORS":"Grade M,Hörmann P,Becker S,Hummon AB,Wangsa D,Varma S,Simon R,Liersch T,Becker H,Difilippantonio MJ,Ghadimi BM,Ried T","EXACT_SOURCE":"Table 5S: Colon < 1 & Rectum < 1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated genes in both rectal and colon carcinoma compared to normal mucosa samples.","DESCRIPTION_FULL":"To characterize patterns of global transcriptional deregulation in primary colon carcinomas, we did gene expression profiling of 73 tumors [Unio Internationale Contra Cancrum stage II (n = 33) and stage III (n = 40)] using oligonucleotide microarrays. For 30 of the tumors, expression profiles were compared with those from matched normal mucosa samples. We identified a set of 1,950 genes with highly significant deregulation between tumors and mucosa samples (P < 1e-7). A significant proportion of these genes mapped to chromosome 20 (P = 0.01). Seventeen genes had a >5-fold average expression difference between normal colon mucosa and carcinomas, including up-regulation of MYC and of HMGA1, a putative oncogene. Furthermore, we identified 68 genes that were significantly differentially expressed between lymph node-negative and lymph node-positive tumors (P < 0.001), the functional annotation of which revealed a preponderance of genes that play a role in cellular immune response and surveillance. The microarray-derived gene expression levels of 20 deregulated genes were validated using quantitative real-time reverse transcription-PCR in >40 tumor and normal mucosa samples with good concordance between the techniques. Finally, we established a relationship between specific genomic imbalances, which were mapped for 32 of the analyzed colon tumors by comparative genomic hybridization, and alterations of global transcriptional activity. Previously, we had conducted a similar analysis of primary rectal carcinomas. The systematic comparison of colon and rectal carcinomas revealed a significant overlap of genomic imbalances and transcriptional deregulation, including activation of the Wnt/beta-catenin signaling cascade, suggesting similar pathogenic pathways."}
{"STANDARD_NAME":"GRADE_COLON_VS_RECTAL_CANCER_UP","SYSTEMATIC_NAME":"M9538","ORGANISM":"Homo sapiens","PMID":"17210682","AUTHORS":"Grade M,Hörmann P,Becker S,Hummon AB,Wangsa D,Varma S,Simon R,Liersch T,Becker H,Difilippantonio MJ,Ghadimi BM,Ried T","EXACT_SOURCE":"Table 5S: Colon < 1 & Rectum > 1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in rectal but down-regulated in colon carcinoma compared to normal mucosa samples.","DESCRIPTION_FULL":"To characterize patterns of global transcriptional deregulation in primary colon carcinomas, we did gene expression profiling of 73 tumors [Unio Internationale Contra Cancrum stage II (n = 33) and stage III (n = 40)] using oligonucleotide microarrays. For 30 of the tumors, expression profiles were compared with those from matched normal mucosa samples. We identified a set of 1,950 genes with highly significant deregulation between tumors and mucosa samples (P < 1e-7). A significant proportion of these genes mapped to chromosome 20 (P = 0.01). Seventeen genes had a >5-fold average expression difference between normal colon mucosa and carcinomas, including up-regulation of MYC and of HMGA1, a putative oncogene. Furthermore, we identified 68 genes that were significantly differentially expressed between lymph node-negative and lymph node-positive tumors (P < 0.001), the functional annotation of which revealed a preponderance of genes that play a role in cellular immune response and surveillance. The microarray-derived gene expression levels of 20 deregulated genes were validated using quantitative real-time reverse transcription-PCR in >40 tumor and normal mucosa samples with good concordance between the techniques. Finally, we established a relationship between specific genomic imbalances, which were mapped for 32 of the analyzed colon tumors by comparative genomic hybridization, and alterations of global transcriptional activity. Previously, we had conducted a similar analysis of primary rectal carcinomas. The systematic comparison of colon and rectal carcinomas revealed a significant overlap of genomic imbalances and transcriptional deregulation, including activation of the Wnt/beta-catenin signaling cascade, suggesting similar pathogenic pathways."}
{"STANDARD_NAME":"GRADE_COLON_VS_RECTAL_CANCER_DN","SYSTEMATIC_NAME":"M9435","ORGANISM":"Homo sapiens","PMID":"17210682","AUTHORS":"Grade M,Hörmann P,Becker S,Hummon AB,Wangsa D,Varma S,Simon R,Liersch T,Becker H,Difilippantonio MJ,Ghadimi BM,Ried T","EXACT_SOURCE":"Table 5S: Colon > 1 & Rectum < 1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in rectal but up-regulated in colon carcinoma compared to normal mucosa samples.","DESCRIPTION_FULL":"To characterize patterns of global transcriptional deregulation in primary colon carcinomas, we did gene expression profiling of 73 tumors [Unio Internationale Contra Cancrum stage II (n = 33) and stage III (n = 40)] using oligonucleotide microarrays. For 30 of the tumors, expression profiles were compared with those from matched normal mucosa samples. We identified a set of 1,950 genes with highly significant deregulation between tumors and mucosa samples (P < 1e-7). A significant proportion of these genes mapped to chromosome 20 (P = 0.01). Seventeen genes had a >5-fold average expression difference between normal colon mucosa and carcinomas, including up-regulation of MYC and of HMGA1, a putative oncogene. Furthermore, we identified 68 genes that were significantly differentially expressed between lymph node-negative and lymph node-positive tumors (P < 0.001), the functional annotation of which revealed a preponderance of genes that play a role in cellular immune response and surveillance. The microarray-derived gene expression levels of 20 deregulated genes were validated using quantitative real-time reverse transcription-PCR in >40 tumor and normal mucosa samples with good concordance between the techniques. Finally, we established a relationship between specific genomic imbalances, which were mapped for 32 of the analyzed colon tumors by comparative genomic hybridization, and alterations of global transcriptional activity. Previously, we had conducted a similar analysis of primary rectal carcinomas. The systematic comparison of colon and rectal carcinomas revealed a significant overlap of genomic imbalances and transcriptional deregulation, including activation of the Wnt/beta-catenin signaling cascade, suggesting similar pathogenic pathways."}
{"STANDARD_NAME":"NAKAMURA_METASTASIS","SYSTEMATIC_NAME":"M17162","ORGANISM":"Homo sapiens","PMID":"17210693","AUTHORS":"Nakamura T,Fidler IJ,Coombes KR","EXACT_SOURCE":"Table 4","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in highly metastatic pancreatic cancer cells.","DESCRIPTION_FULL":"To determine the influence of the microenvironment on changes in gene expression, we did microarray analysis on three variant lines of a human pancreatic cancer (FG, L3.3, and L3.6pl) with different metastatic potentials. The variant lines were grown in tissue culture in the subcutis (ectopic) or pancreas (orthotopic) of nude mice. Compared with tissue culture, the number of genes of which the expression was affected by the microenvironment was up-regulated in tumors growing in the subcutis and pancreas. In addition, highly metastatic L3.6pl cells growing in the pancreas expressed significantly higher levels of 226 genes than did the L3.3 or FG variant cells. Growth of the variant lines in the subcutis did not yield similar results, indicating that the orthotopic microenvironment significantly influences gene expression in pancreatic cancer cells. These data suggest that investigations of the functional consequence of gene expression require accounting for experimental growth conditions."}
{"STANDARD_NAME":"NAKAMURA_METASTASIS_MODEL_UP","SYSTEMATIC_NAME":"M18483","ORGANISM":"Homo sapiens","PMID":"17210693","AUTHORS":"Nakamura T,Fidler IJ,Coombes KR","EXACT_SOURCE":"Table 2S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top genes up-regulated in orthotopic tumors from highly metastatic pancreatic cancer cells.","DESCRIPTION_FULL":"To determine the influence of the microenvironment on changes in gene expression, we did microarray analysis on three variant lines of a human pancreatic cancer (FG, L3.3, and L3.6pl) with different metastatic potentials. The variant lines were grown in tissue culture in the subcutis (ectopic) or pancreas (orthotopic) of nude mice. Compared with tissue culture, the number of genes of which the expression was affected by the microenvironment was up-regulated in tumors growing in the subcutis and pancreas. In addition, highly metastatic L3.6pl cells growing in the pancreas expressed significantly higher levels of 226 genes than did the L3.3 or FG variant cells. Growth of the variant lines in the subcutis did not yield similar results, indicating that the orthotopic microenvironment significantly influences gene expression in pancreatic cancer cells. These data suggest that investigations of the functional consequence of gene expression require accounting for experimental growth conditions."}
{"STANDARD_NAME":"NAKAMURA_METASTASIS_MODEL_DN","SYSTEMATIC_NAME":"M15940","ORGANISM":"Homo sapiens","PMID":"17210693","AUTHORS":"Nakamura T,Fidler IJ,Coombes KR","EXACT_SOURCE":"Table 3S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Bottom genes down-regulated in subcutaneous tumors from highly metastatic pancreatic cancer cells.","DESCRIPTION_FULL":"To determine the influence of the microenvironment on changes in gene expression, we did microarray analysis on three variant lines of a human pancreatic cancer (FG, L3.3, and L3.6pl) with different metastatic potentials. The variant lines were grown in tissue culture in the subcutis (ectopic) or pancreas (orthotopic) of nude mice. Compared with tissue culture, the number of genes of which the expression was affected by the microenvironment was up-regulated in tumors growing in the subcutis and pancreas. In addition, highly metastatic L3.6pl cells growing in the pancreas expressed significantly higher levels of 226 genes than did the L3.3 or FG variant cells. Growth of the variant lines in the subcutis did not yield similar results, indicating that the orthotopic microenvironment significantly influences gene expression in pancreatic cancer cells. These data suggest that investigations of the functional consequence of gene expression require accounting for experimental growth conditions."}
{"STANDARD_NAME":"GRATIAS_RETINOBLASTOMA_16Q24","SYSTEMATIC_NAME":"M8458","ORGANISM":"Homo sapiens","PMID":"17210724","AUTHORS":"Gratias S,Rieder H,Ullmann R,Klein-Hitpass L,Schneider S,Bölöni R,Kappler M,Lohmann DR","GEOID":"GSE5222","EXACT_SOURCE":"Table 1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes from 16q24 region up-regulated in retinoblastoma tumors with 16q24 LOH (loss of heterozygocity) compared to those without the LOH.","DESCRIPTION_FULL":"In addition to RB1 gene mutations, retinoblastomas frequently show gains of 1q and 6p and losses of 16q. To identify suppressor genes on 16q, we analyzed 22 short tandem repeat loci in 58 patients with known RB1 mutations. A subset of tumors was also investigated by conventional and matrix comparative genomic hybridization. In 40 of 58 (69%) tumors, we found no loss of heterozygosity (LOH) at any 16q marker. LOH was detected in 18 of 58 (31%) tumors, including five with allelic imbalance at some markers. In one tumor LOH was only observed at 16q24. As the parental origin of allele loss was unbiased, an imprinted locus is unlikely to be involved. Analysis of gene expression by microarray hybridization and quantitative RT real-time PCR did not identify a candidate suppressor in 16q24. Cadherin 13 (CDH13), CBFA2T3, and WFDC1, which are candidate suppressors in other tumor entities with 16q24 loss, did not show loss of expression. In addition, mutation and methylation analysis showed no somatic alteration of CDH13. Results in all tumors with chromosome 16 alterations define a single minimal deleted region of 5.7 Mb in the telomeric part of 16q24 with the centromeric boundary defined by retention of heterozygosity for a single nucleotide variant in exon 10 of CDH13 (Mb 82.7). Interestingly, clinical presentation of tumors with and without 16q alterations was distinct. Specifically, almost all retinoblastomas with 16q24 loss showed diffuse intraocular seeding. This suggests that genetic alterations in the minimal deleted region are associated with impaired cell-to-cell adhesion."}
{"STANDARD_NAME":"WEST_ADRENOCORTICAL_CARCINOMA_VS_ADENOMA_UP","SYSTEMATIC_NAME":"M14030","ORGANISM":"Homo sapiens","PMID":"17234769","AUTHORS":"West AN,Neale GA,Pounds S,Figueredo BC,Rodriguez Galindo C,Pianovski MA,Oliveira Filho AG,Malkin D,Lalli E,Ribeiro R,Zambetti GP","EXACT_SOURCE":"Table 5S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Up-regulated genes in pediatric adrenocortical carcinoma (ACC) compared to the adenoma (ACA) tumors.","DESCRIPTION_FULL":"Pediatric adrenocortical tumors (ACT) are rare and often fatal malignancies; little is known regarding their etiology and biology. To provide additional insight into the nature of ACT, we determined the gene expression profiles of 24 pediatric tumors (five adenomas, 18 carcinomas, and one undetermined) and seven normal adrenal glands. Distinct patterns of gene expression, validated by quantitative real-time PCR and Western blot analysis, were identified that distinguish normal adrenal cortex from tumor. Differences in gene expression were also identified between adrenocortical adenomas and carcinomas. In addition, pediatric adrenocortical carcinomas were found to share similar patterns of gene expression when compared with those published for adult ACT. This study represents the first microarray analysis of childhood ACT. Our findings lay the groundwork for establishing gene expression profiles that may aid in the diagnosis and prognosis of pediatric ACT, and in the identification of signaling pathways that contribute to this disease."}
{"STANDARD_NAME":"CHO_NR4A1_TARGETS","SYSTEMATIC_NAME":"M14560","ORGANISM":"Homo sapiens","PMID":"17234778","AUTHORS":"Cho SD,Yoon K,Chintharlapalli S,Abdelrahim M,Lei P,Hamilton S,Khan S,Ramaiah SK,Safe S","EXACT_SOURCE":"Table 1","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in RKO cells (colon cancer) after treatment with the NR4A1 [GeneID=3164] agonist, DIM-C-pPhOCH3.","DESCRIPTION_FULL":"Nerve growth factor-induced Balpha (NGFI-Balpha, Nur77) is an orphan nuclear receptor with no known endogenous ligands; however, recent studies on a series of methylene-substituted diindolylmethanes (C-DIM) have identified 1,1-bis(3'-indolyl)-1-(phenyl)methane (DIM-C-Ph) and 1,1-bis(3'-indolyl)-1-(p-anisyl)methane (DIM-C-pPhOCH3) as Nur77 agonists. Nur77 is expressed in several colon cancer cell lines (RKO, SW480, HCT-116, HT-29, and HCT-15), and we also observed by immunostaining that Nur77 was overexpressed in colon tumors compared with normal colon tissue. DIM-C-Ph and DIM-C-pPhOCH3 decreased survival and induced apoptosis in RKO colon cancer cells, and this was accompanied by induction of tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) protein. The induction of apoptosis and TRAIL by DIM-C-pPhOCH3 was significantly inhibited by a small inhibitory RNA for Nur77 (iNur77); however, it was evident from RNA interference studies that DIM-C-pPhOCH3 also induced Nur77-independent apoptosis. Analysis of DIM-C-pPhOCH3-induced gene expression using microarrays identified several proapoptotic genes, and analysis by reverse transcription-PCR in the presence or absence of iNur77 showed that induction of programmed cell death gene 1 was Nur77 dependent, whereas induction of cystathionase and activating transcription factor 3 was Nur77 independent. DIM-C-pPhOCH3 (25 mg/kg/d) also inhibited tumor growth in athymic nude mice bearing RKO cell xenografts. These results show that Nur77-active C-DIM compounds represent a new class of anti-colon cancer drugs that act through receptor-dependent and receptor-independent pathways."}
{"STANDARD_NAME":"BHATI_G2M_ARREST_BY_2METHOXYESTRADIOL_DN","SYSTEMATIC_NAME":"M10839","ORGANISM":"Homo sapiens","PMID":"17234781","AUTHORS":"Bhati R,Gökmen-Polar Y,Sledge GW,Fan C,Nakshatri H,Ketelsen D,Borchers CH,Dial MJ,Patterson C,Klauber-DeMore N","GEOID":"GSE5665","EXACT_SOURCE":"Suppl. Gene List: Green","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated genes in MDA-MB-435 cells (breast cancer) undergoing G2/M arrest after treatment with 2-methoxyestradiol (2ME2) [PubChem=1573].","DESCRIPTION_FULL":"2-methoxyestradiol (2ME2), an estradiol metabolite with antiproliferative and antiangiogenic activities, is in phase I/II clinical trials for breast cancer. 2ME2 inhibits microtubule polymerization and causes cells to arrest in G2-M. The purpose of this study was to further elucidate the molecular mechanism of 2ME2. MDA-MB-435 breast cancer cells were treated with 2ME2 (2 micromol/L) or vehicle alone. RNA was extracted and genomic profiling was done using 22k Agilent microarrays. Expression Analysis Systematic Explorer was used to determine enrichment of Gene Ontology categories. Protein isolates were subjected to Western blot analysis. Protein synthesis was measured with a [35S]methionine pulse assay. An MDA-MB-435 cell line with two beta-tubulin mutations (2ME2R) was used to determine whether novel mechanisms were tubulin-dependent. Gene Ontology categories enriched include genes that regulate the mitotic spindle assembly checkpoint, apoptosis, and the cytosolic ribosome. The target of the mitotic spindle assembly checkpoint is the anaphase-promoting complex (APC). APC inhibition was confirmed by measuring protein levels of its targets securin and cyclin B1, which were increased in 2ME2-treated cells. Because gene expression in the cytosolic ribosome category was decreased, we evaluated whether 2ME2 decreases protein translation. This was confirmed with a pulse assay, which showed decreased isotope incorporation in 2ME2-treated cells, which was maintained in the tubulin-resistant 2ME2R cells. APC inhibition was not maintained in 2ME2R cells. 2ME2 induces tubulin-dependent cell cycle arrest through regulation of genes involved in the mitotic spindle assembly checkpoint, which results in inhibition of the APC and tubulin-independent inhibition of protein translation."}
{"STANDARD_NAME":"CLIMENT_BREAST_CANCER_COPY_NUMBER_UP","SYSTEMATIC_NAME":"M13910","ORGANISM":"Homo sapiens","PMID":"17234794","AUTHORS":"Climent J,Dimitrow P,Fridlyand J,Palacios J,Siebert R,Albertson DG,Gray JW,Pinkel D,Lluch A,Martinez-Climent JA","GEOID":"GSE6448","EXACT_SOURCE":"Table 4CS-4DS","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes from the most frequent genomic gains and amplifications in a panel of patients with lymph node negative breast cancer (NNBC).","DESCRIPTION_FULL":"Despite the recent consensus on the eligibility of adjuvant systemic therapy in patients with lymph node-negative breast cancer (NNBC) based on clinicopathologic criteria, specific biological markers are needed to predict sensitivity to the different available therapeutic options. We examined the feasibility of developing a genomic predictor of chemotherapy response and recurrence risk in 185 patients with NNBC using assembled arrays containing 2,460 bacterial artificial chromosome clones for scanning the genome for DNA copy number changes. After surgery, 90 patients received anthracycline-based chemotherapy, whereas 95 did not. Tamoxifen was administered to patients with hormone receptor-positive tumors. The association of genomic and clinicopathologic data and outcome was computed using Cox proportional hazard models and multiple testing adjustment procedures. Analysis of NNBC genomes revealed a common genomic signature. Specific DNA copy number aberrations were associated with hormonal receptor status, but not with other clinicopathologic variables. In patients treated with chemotherapy, none of the genomic changes were significantly correlated with recurrence. In patients not receiving chemotherapy, deletion of eight bacterial artificial chromosome clones clustered to chromosome 11q was independently associated with relapse (disease-free survival at 10 years+/-SE, 40%+/-14% versus 86%+/-6%; P<0.0001). The 54 patients with deletion of 11q (29%) did not present more aggressive clinicopathologic features than those without 11q loss. The adverse influence of 11q deletion on clinical outcome was confirmed in an independent validation series of 88 patients with NNBC. Our data suggests that patients with NNBC with the 11q deletion might benefit from anthracycline-based chemotherapy despite other clinical, pathologic, or genetic features. However, these initial findings should be evaluated in randomized clinical trials."}
{"STANDARD_NAME":"CLIMENT_BREAST_CANCER_COPY_NUMBER_DN","SYSTEMATIC_NAME":"M5098","ORGANISM":"Homo sapiens","PMID":"17234794","AUTHORS":"Climent J,Dimitrow P,Fridlyand J,Palacios J,Siebert R,Albertson DG,Gray JW,Pinkel D,Lluch A,Martinez-Climent JA","GEOID":"GSE6448","EXACT_SOURCE":"Table 4AS-4BS","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes from the most frequent genomic losses and homozygous deletions in a panel of patients with lymph node negative breast cancer (NNBC).","DESCRIPTION_FULL":"Despite the recent consensus on the eligibility of adjuvant systemic therapy in patients with lymph node-negative breast cancer (NNBC) based on clinicopathologic criteria, specific biological markers are needed to predict sensitivity to the different available therapeutic options. We examined the feasibility of developing a genomic predictor of chemotherapy response and recurrence risk in 185 patients with NNBC using assembled arrays containing 2,460 bacterial artificial chromosome clones for scanning the genome for DNA copy number changes. After surgery, 90 patients received anthracycline-based chemotherapy, whereas 95 did not. Tamoxifen was administered to patients with hormone receptor-positive tumors. The association of genomic and clinicopathologic data and outcome was computed using Cox proportional hazard models and multiple testing adjustment procedures. Analysis of NNBC genomes revealed a common genomic signature. Specific DNA copy number aberrations were associated with hormonal receptor status, but not with other clinicopathologic variables. In patients treated with chemotherapy, none of the genomic changes were significantly correlated with recurrence. In patients not receiving chemotherapy, deletion of eight bacterial artificial chromosome clones clustered to chromosome 11q was independently associated with relapse (disease-free survival at 10 years+/-SE, 40%+/-14% versus 86%+/-6%; P<0.0001). The 54 patients with deletion of 11q (29%) did not present more aggressive clinicopathologic features than those without 11q loss. The adverse influence of 11q deletion on clinical outcome was confirmed in an independent validation series of 88 patients with NNBC. Our data suggests that patients with NNBC with the 11q deletion might benefit from anthracycline-based chemotherapy despite other clinical, pathologic, or genetic features. However, these initial findings should be evaluated in randomized clinical trials."}
{"STANDARD_NAME":"SHARMA_PILOCYTIC_ASTROCYTOMA_LOCATION_UP","SYSTEMATIC_NAME":"M4447","ORGANISM":"Homo sapiens","PMID":"17283119","AUTHORS":"Sharma MK,Mansur DB,Reifenberger G,Perry A,Leonard JR,Aldape KD,Albin MG,Emnett RJ,Loeser S,Watson MA,Nagarajan R,Gutmann DH","GEOID":"GSE5675","EXACT_SOURCE":"Table 1: SAM score > 0","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in pilocytic astrocytoma (PA) from supratentorial regions compared to the infratentorial PA tumors.","DESCRIPTION_FULL":"Pilocytic astrocytomas (PAs) are the most common glioma in children. Whereas many PAs are slow-growing or clinically indolent, others exhibit more aggressive features with tumor recurrence and death. To identify genetic signatures that might predict PA clinical behavior, we did gene expression profiling on 41 primary PAs arising sporadically and in patients with neurofibromatosis type 1 (NF1). Whereas no expression signature was found that could discriminate clinically aggressive or recurrent tumors from more indolent cases, PAs arising in patients with NF1 did exhibit a unique gene expression pattern. In addition, we identified a gene expression signature that stratified PAs by location (supratentorial versus infratentorial). Lastly, we also identified a gene expression pattern common to PAs and normal mouse astrocytes and neural stem cells from these distinct brain regions as well as a gene expression pattern shared between PAs and another human glial tumor (ependymoma) arising supratentorially compared with those originating in the posterior fossa. These results suggest that glial tumors share an intrinsic, lineage-specific molecular signature that reflects the brain region in which their nonmalignant predecessors originated."}
{"STANDARD_NAME":"SHARMA_PILOCYTIC_ASTROCYTOMA_LOCATION_DN","SYSTEMATIC_NAME":"M19757","ORGANISM":"Homo sapiens","PMID":"17283119","AUTHORS":"Sharma MK,Mansur DB,Reifenberger G,Perry A,Leonard JR,Aldape KD,Albin MG,Emnett RJ,Loeser S,Watson MA,Nagarajan R,Gutmann DH","GEOID":"GSE5675","EXACT_SOURCE":"Table 1: SAM score < 0","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in pilocytic astrocytoma (PA) from supratentorial regions compared to the infratentorial PA tumors.","DESCRIPTION_FULL":"Pilocytic astrocytomas (PAs) are the most common glioma in children. Whereas many PAs are slow-growing or clinically indolent, others exhibit more aggressive features with tumor recurrence and death. To identify genetic signatures that might predict PA clinical behavior, we did gene expression profiling on 41 primary PAs arising sporadically and in patients with neurofibromatosis type 1 (NF1). Whereas no expression signature was found that could discriminate clinically aggressive or recurrent tumors from more indolent cases, PAs arising in patients with NF1 did exhibit a unique gene expression pattern. In addition, we identified a gene expression signature that stratified PAs by location (supratentorial versus infratentorial). Lastly, we also identified a gene expression pattern common to PAs and normal mouse astrocytes and neural stem cells from these distinct brain regions as well as a gene expression pattern shared between PAs and another human glial tumor (ependymoma) arising supratentorially compared with those originating in the posterior fossa. These results suggest that glial tumors share an intrinsic, lineage-specific molecular signature that reflects the brain region in which their nonmalignant predecessors originated."}
{"STANDARD_NAME":"TSUDA_ALVEOLAR_SOFT_PART_SARCOMA","SYSTEMATIC_NAME":"M4000","ORGANISM":"Homo sapiens","PMID":"17283122","AUTHORS":"Tsuda M,Davis IJ,Argani P,Shukla N,McGill GG,Nagai M,Saito T,Laé M,Fisher DE,Ladanyi M","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Protein kinase genes most significantly up-regulated in ASPS (alveolar soft part sarcoma) tumors compared to four other types of primitive sarcomas.","DESCRIPTION_FULL":"Specific chromosomal translocations encoding chimeric transcription factors are considered to play crucial oncogenic roles in a variety of human cancers but the fusion proteins themselves seldom represent suitable therapeutic targets. Oncogenic TFE3 fusion proteins define a subset of pediatric renal adenocarcinomas and one fusion (ASPL-TFE3) is also characteristic of alveolar soft part sarcoma (ASPS). By expression profiling, we identified the MET receptor tyrosine kinase gene as significantly overexpressed in ASPS relative to four other types of primitive sarcomas. We therefore examined MET as a direct transcriptional target of ASPL-TFE3. ASPL-TFE3 binds to the MET promoter and strongly activates it. Likewise, PSF-TFE3 and NONO-TFE3 also bind this promoter. Induction of MET by ASPL-TFE3 results in strong MET autophosphorylation and activation of downstream signaling in the presence of hepatocyte growth factor (HGF). In cancer cell lines containing endogenous TFE3 fusion proteins, inhibiting MET by RNA interference or by the inhibitor PHA665752 abolishes HGF-dependent MET activation, causing decreased cell growth and loss of HGF-dependent phenotypes. MET is thus a potential therapeutic target in these cancers. Aberrant transcriptional up-regulation of MET by oncogenic TFE3 fusion proteins represents another mechanism by which certain cancers become dependent on MET signaling. The identification of kinase signaling pathways transcriptionally up-regulated by oncogenic fusion proteins may reveal more accessible therapeutic targets in this class of human cancers."}
{"STANDARD_NAME":"YAGUE_PRETUMOR_DRUG_RESISTANCE_UP","SYSTEMATIC_NAME":"M12825","ORGANISM":"Homo sapiens","PMID":"17283147","AUTHORS":"Yagüe E,Arance A,Kubitza L,O'Hare M,Jat P,Ogilvie CM,Hart IR,Higgins CF,Raguz S","EXACT_SOURCE":"Table 2: Up-regulated in resistant cells","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Up-regulated genes common to all pretumorigenic cells with acquired drug resistance.","DESCRIPTION_FULL":"Resistance to chemotherapy is one of the principal causes of cancer mortality and is generally considered a late event in tumor progression. Although cellular models of drug resistance have been useful in identifying the molecules responsible for conferring drug resistance, most of these cellular models are derived from cell lines isolated from patients at a late stage in cancer progression. To ask at which stage in the tumorigenic progression does the cell gain the ability to acquire drug resistance, we generated a series of pre-tumorigenic and tumorigenic cells from human embryonic skin fibroblasts by introducing, sequentially, the catalytic subunit of telomerase, SV40 large T and small T oncoproteins, and an oncogenic form of ras. We show that the ability to acquire multidrug resistance (MDR) can arise before the malignant transformation stage. The minimal set of changes necessary to obtain pre-tumorigenic drug-resistant cells is expression of telomerase and inactivation of p53 and pRb. Thus, the pathways inactivated during tumorigenesis also confer the ability to acquire drug resistance. Microarray and functional studies of drug-resistant pre-tumorigenic cells indicate that the drug efflux pump P-glycoprotein is responsible for the MDR phenotype in this pre-tumorigenic cell model."}
{"STANDARD_NAME":"YAGUE_PRETUMOR_DRUG_RESISTANCE_DN","SYSTEMATIC_NAME":"M2070","ORGANISM":"Homo sapiens","PMID":"17283147","AUTHORS":"Yagüe E,Arance A,Kubitza L,O'Hare M,Jat P,Ogilvie CM,Hart IR,Higgins CF,Raguz S","EXACT_SOURCE":"Table 2: Down-regulated in resistant cells","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated genes common to all pretumorigenic cells with acquired drug resistance.","DESCRIPTION_FULL":"Resistance to chemotherapy is one of the principal causes of cancer mortality and is generally considered a late event in tumor progression. Although cellular models of drug resistance have been useful in identifying the molecules responsible for conferring drug resistance, most of these cellular models are derived from cell lines isolated from patients at a late stage in cancer progression. To ask at which stage in the tumorigenic progression does the cell gain the ability to acquire drug resistance, we generated a series of pre-tumorigenic and tumorigenic cells from human embryonic skin fibroblasts by introducing, sequentially, the catalytic subunit of telomerase, SV40 large T and small T oncoproteins, and an oncogenic form of ras. We show that the ability to acquire multidrug resistance (MDR) can arise before the malignant transformation stage. The minimal set of changes necessary to obtain pre-tumorigenic drug-resistant cells is expression of telomerase and inactivation of p53 and pRb. Thus, the pathways inactivated during tumorigenesis also confer the ability to acquire drug resistance. Microarray and functional studies of drug-resistant pre-tumorigenic cells indicate that the drug efflux pump P-glycoprotein is responsible for the MDR phenotype in this pre-tumorigenic cell model."}
{"STANDARD_NAME":"BRUECKNER_TARGETS_OF_MIRLET7A3_UP","SYSTEMATIC_NAME":"M8831","ORGANISM":"Homo sapiens","PMID":"17308078","AUTHORS":"Brueckner B,Stresemann C,Kuner R,Mund C,Musch T,Meister M,Sültmann H,Lyko F","GEOID":"GSE6474","EXACT_SOURCE":"Table 1S","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in A549 cells (lung cancer) expressing MIRLET7A3 [GeneID=406883] microRNA off a plasmid vector.","DESCRIPTION_FULL":"MicroRNAs (miRNAs) are small noncoding RNAs that repress their target mRNAs by complementary base pairing and induction of the RNA interference pathway. It has been shown that miRNA expression can be regulated by DNA methylation and it has been suggested that altered miRNA gene methylation might contribute to human tumorigenesis. In this study, we show that the human let-7a-3 gene on chromosome 22q13.31 is associated with a CpG island. Let-7a-3 belongs to the archetypal let-7 miRNA gene family and was found to be methylated by the DNA methyltransferases DNMT1 and DNMT3B. The gene was heavily methylated in normal human tissues but hypomethylated in some lung adenocarcinomas. Let-7a-3 hypomethylation facilitated epigenetic reactivation of the gene and elevated expression of let-7a-3 in a human lung cancer cell line resulted in enhanced tumor phenotypes and oncogenic changes in transcription profiles. Our results thus identify let-7a-3 as an epigenetically regulated miRNA gene with oncogenic function and suggest that aberrant miRNA gene methylation might contribute to the human cancer epigenome."}
{"STANDARD_NAME":"LU_TUMOR_ENDOTHELIAL_MARKERS_DN","SYSTEMATIC_NAME":"M8822","ORGANISM":"Homo sapiens","PMID":"17308118","AUTHORS":"Lu C,Bonome T,Li Y,Kamat AA,Han LY,Schmandt R,Coleman RL,Gershenson DM,Jaffe RB,Birrer MJ,Sood AK","EXACT_SOURCE":"Table 3: Fold difference < 0.15","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes specifically down-regulated in tumor endothelium.","DESCRIPTION_FULL":"Therapeutic strategies based on antiangiogenic approaches are beginning to show great promise in clinical studies. However, full realization of these approaches requires identification of key differences in gene expression between endothelial cells from tumors versus their normal counterparts. Here, we examined gene expression differences in purified endothelial cells from 10 invasive epithelial ovarian cancers and 5 normal ovaries using Affymetrix U133 Plus 2.0 microarrays. More than 400 differentially expressed genes were identified in tumor-associated endothelial cells. We selected and validated 23 genes that were overexpressed by 3.6- to 168-fold using real-time reverse transcription-PCR and/or immunohistochemistry. Among these, the polycomb group protein enhancer of Zeste homologue 2 (EZH2), the Notch ligand Jagged1, and PTK2 were elevated 3- to 4.3-fold in tumor-associated endothelial cells. Silencing these genes individually with small interfering RNA blocked endothelial cell migration and tube formation in vitro. The present study shows that tumor and normal endothelium differ at the molecular level, which may have significant implications for the development of antiangiogenic therapies."}
{"STANDARD_NAME":"LIN_TUMOR_ESCAPE_FROM_IMMUNE_ATTACK","SYSTEMATIC_NAME":"M1847","ORGANISM":"Mus musculus","PMID":"17308126","AUTHORS":"Lin KY,Lu D,Hung CF,Peng S,Huang L,Jie C,Murillo F,Rowley J,Tsai YC,He L,Kim DJ,Jaffee E,Pardoll D,Wu TC","GEOID":"GSE2774","EXACT_SOURCE":"Fig. 1D","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in highly immune-resistant cancer cell line developed from a susceptible cancer using an in vivo selection strategy.","DESCRIPTION_FULL":"Immune escape is an important reason why the immune system cannot control tumor growth, but how escape variants emerge during immunotherapy remains poorly understood. Here, we identify a new mechanism of tumor immune escape using an in vivo selection strategy. We generated a highly immune-resistant cancer cell line (P3) by subjecting a susceptible cancer cell line (P0/TC-1) to multiple rounds of in vivo immune selection. Microarray analysis of P0 and P3 revealed that vascular cell adhesion molecule-1 (VCAM-1) is up-regulated in the P3-resistant variant. Retroviral transfer of VCAM-1 into P0 significantly increased its resistance against a vaccine-induced immune response. Analysis of tumors showed a dramatic decrease in the number of tumor-infiltrating cluster of differentiation 8(+) (CD8(+)) T cells in the tumors expressing VCAM-1. In vitro transwell migration assays showed that VCAM-1 can promote the migration of CD8(+) T cells through its interaction with the alpha(4)beta(1) integrin. Site-directed mutagenesis of VCAM-1 at amino acid residues required for interaction with alpha(4)beta(1) integrin completely abolished the immune resistance conferred by VCAM-1 in vivo. Surface staining showed that most renal cell carcinomas (RCC) express VCAM-1, whereas an RCC that responded to vaccination was VCAM-1 negative. These data provide evidence that tumor expression of VCAM-1 represents a new mechanism of immune evasion and has important implications for the development of immunotherapy for human RCC."}
{"STANDARD_NAME":"CHEN_HOXA5_TARGETS_6HR_DN","SYSTEMATIC_NAME":"M13148","ORGANISM":"Homo sapiens","PMID":"15757903","AUTHORS":"Chen H,Rubin E,Zhang H,Chung S,Jie CC,Garrett E,Biswal S,Sukumar S","GEOID":"GSE2241","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated 6 h after induction of HoxA5 [GeneID=3205] expression in a breast cancer cell line.","DESCRIPTION_FULL":"The homeobox gene HOXA5 encodes a transcription factor that has been shown to play important roles in embryogenesis, hematopoiesis, and tumorigenesis. In order to decipher downstream signaling pathways of HOXA5, we utilized oligonucleotide microarray analysis to identify genes that are differentially expressed in HOXA5-induced cells compared with uninduced cells. Comparative analysis of gene expression changes after 9 h of HOXA5 induction in Hs578T breast cancer cells identified 306 genes whose expression was modulated at least 2-fold. Ten of these 306 genes were also up-regulated by at least 2-fold at 6 h post-induction. The expression of all of these 10 genes was confirmed by semiquantitative reverse transcription-PCR. Among these 10 genes, which are most likely to be direct targets of HOXA5, we initiated an investigation into the pleiotrophin gene by first cloning its promoter. Transient transfection assays indicated that HOXA5 can specifically activate the pleiotrophin promoter. Promoter deletion, chromatin immunoprecipitation assay, and gel-shift assays were performed to show that HOXA5 can directly bind to one binding site on the pleiotrophin promoter. These data strongly suggest that microarray analysis can successfully identify many potential direct downstream genes of HOXA5. Further functional analysis of these targets will allow us to better understand the diverse functions of HOXA5 in embryonic development and tumorigenesis."}
{"STANDARD_NAME":"CHEN_HOXA5_TARGETS_9HR_DN","SYSTEMATIC_NAME":"M15493","ORGANISM":"Homo sapiens","PMID":"15757903","AUTHORS":"Chen H,Rubin E,Zhang H,Chung S,Jie CC,Garrett E,Biswal S,Sukumar S","GEOID":"GSE2241","EXACT_SOURCE":"Table 3S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated 9 h after induction of HoxA5 [GeneID=3205] expression in a breast cancer cell line.","DESCRIPTION_FULL":"The homeobox gene HOXA5 encodes a transcription factor that has been shown to play important roles in embryogenesis, hematopoiesis, and tumorigenesis. In order to decipher downstream signaling pathways of HOXA5, we utilized oligonucleotide microarray analysis to identify genes that are differentially expressed in HOXA5-induced cells compared with uninduced cells. Comparative analysis of gene expression changes after 9 h of HOXA5 induction in Hs578T breast cancer cells identified 306 genes whose expression was modulated at least 2-fold. Ten of these 306 genes were also up-regulated by at least 2-fold at 6 h post-induction. The expression of all of these 10 genes was confirmed by semiquantitative reverse transcription-PCR. Among these 10 genes, which are most likely to be direct targets of HOXA5, we initiated an investigation into the pleiotrophin gene by first cloning its promoter. Transient transfection assays indicated that HOXA5 can specifically activate the pleiotrophin promoter. Promoter deletion, chromatin immunoprecipitation assay, and gel-shift assays were performed to show that HOXA5 can directly bind to one binding site on the pleiotrophin promoter. These data strongly suggest that microarray analysis can successfully identify many potential direct downstream genes of HOXA5. Further functional analysis of these targets will allow us to better understand the diverse functions of HOXA5 in embryonic development and tumorigenesis."}
{"STANDARD_NAME":"LIN_NPAS4_TARGETS_UP","SYSTEMATIC_NAME":"M687","ORGANISM":"Mus musculus","PMID":"18815592","AUTHORS":"Lin Y,Bloodgood BL,Hauser JL,Lapan AD,Koon AC,Kim TK,Hu LS,Malik AN,Greenberg ME","GEOID":"GSE11258,GSE11261,GSE11256","EXACT_SOURCE":"Table 1S: U = Up-regulated","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in neurons after NPAS4 [GeneID=266743] knockdown by RNAi.","DESCRIPTION_FULL":"Neuronal activity regulates the development and maturation of excitatory and inhibitory synapses in the mammalian brain. Several recent studies have identified signalling networks within neurons that control excitatory synapse development. However, less is known about the molecular mechanisms that regulate the activity-dependent development of GABA (gamma-aminobutyric acid)-releasing inhibitory synapses. Here we report the identification of a transcription factor, Npas4, that plays a role in the development of inhibitory synapses by regulating the expression of activity-dependent genes, which in turn control the number of GABA-releasing synapses that form on excitatory neurons. These findings demonstrate that the activity-dependent gene program regulates inhibitory synapse development, and suggest a new role for this program in controlling the homeostatic balance between synaptic excitation and inhibition."}
{"STANDARD_NAME":"CADWELL_ATG16L1_TARGETS_DN","SYSTEMATIC_NAME":"M12482","ORGANISM":"Mus musculus","PMID":"18849966","AUTHORS":"Cadwell K,Liu JY,Brown SL,Miyoshi H,Loh J,Lennerz JK,Kishi C,Kc W,Carrero JA,Hunt S,Stone CD,Brunt EM,Xavier RJ,Sleckman BP,Li E,Mizushima N,Stappenbeck TS,Virgin HW 4th","GEOID":"GSE12707,GSE13512","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in Paneth cell (part of intestiinal epithelium) of mice with hypomorphic (reduced function) form of ATG16L1 [GeneID=55054].","DESCRIPTION_FULL":"Susceptibility to Crohn's disease, a complex inflammatory disease involving the small intestine, is controlled by over 30 loci. One Crohn's disease risk allele is in ATG16L1, a gene homologous to the essential yeast autophagy gene ATG16 (ref. 2). It is not known how ATG16L1 or autophagy contributes to intestinal biology or Crohn's disease pathogenesis. To address these questions, we generated and characterized mice that are hypomorphic for ATG16L1 protein expression, and validated conclusions on the basis of studies in these mice by analysing intestinal tissues that we collected from Crohn's disease patients carrying the Crohn's disease risk allele of ATG16L1. Here we show that ATG16L1 is a bona fide autophagy protein. Within the ileal epithelium, both ATG16L1 and a second essential autophagy protein ATG5 are selectively important for the biology of the Paneth cell, a specialized epithelial cell that functions in part by secretion of granule contents containing antimicrobial peptides and other proteins that alter the intestinal environment. ATG16L1- and ATG5-deficient Paneth cells exhibited notable abnormalities in the granule exocytosis pathway. In addition, transcriptional analysis revealed an unexpected gain of function specific to ATG16L1-deficient Paneth cells including increased expression of genes involved in peroxisome proliferator-activated receptor (PPAR) signalling and lipid metabolism, of acute phase reactants and of two adipocytokines, leptin and adiponectin, known to directly influence intestinal injury responses. Importantly, Crohn's disease patients homozygous for the ATG16L1 Crohn's disease risk allele displayed Paneth cell granule abnormalities similar to those observed in autophagy-protein-deficient mice and expressed increased levels of leptin protein. Thus, ATG16L1, and probably the process of autophagy, have a role within the intestinal epithelium of mice and Crohn's disease patients by selective effects on the cell biology and specialized regulatory properties of Paneth cells."}
{"STANDARD_NAME":"BREDEMEYER_RAG_SIGNALING_NOT_VIA_ATM_UP","SYSTEMATIC_NAME":"M15542","ORGANISM":"Mus musculus","PMID":"18849970","AUTHORS":"Bredemeyer AL,Helmink BA,Innes CL,Calderon B,McGinnis LM,Mahowald GK,Gapud EJ,Walker LM,Collins JB,Weaver BK,Mandik-Nayak L,Schreiber RD,Allen PM,May MJ,Paules RS,Bassing CH,Sleckman BP","GEOID":"GSE9024","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in pre B lymphocyte after induction of physiological DNA double-strand breaks (DSB) by RAG2 [GeneID=5897]; the changes are independent of ATM [GeneID=472] signaling.","DESCRIPTION_FULL":"DNA double-strand breaks are generated by genotoxic agents and by cellular endonucleases as intermediates of several important physiological processes. The cellular response to genotoxic DNA breaks includes the activation of transcriptional programs known primarily to regulate cell-cycle checkpoints and cell survival. DNA double-strand breaks are generated in all developing lymphocytes during the assembly of antigen receptor genes, a process that is essential for normal lymphocyte development. Here we show that in murine lymphocytes these physiological DNA breaks activate a broad transcriptional program. This program transcends the canonical DNA double-strand break response and includes many genes that regulate diverse cellular processes important for lymphocyte development. Moreover, the expression of several of these genes is regulated similarly in response to genotoxic DNA damage. Thus, physiological DNA double-strand breaks provide cues that can regulate cell-type-specific processes not directly involved in maintaining the integrity of the genome, and genotoxic DNA breaks could disrupt normal cellular functions by corrupting these processes."}
{"STANDARD_NAME":"BREDEMEYER_RAG_SIGNALING_NOT_VIA_ATM_DN","SYSTEMATIC_NAME":"M6023","ORGANISM":"Mus musculus","PMID":"18849970","AUTHORS":"Bredemeyer AL,Helmink BA,Innes CL,Calderon B,McGinnis LM,Mahowald GK,Gapud EJ,Walker LM,Collins JB,Weaver BK,Mandik-Nayak L,Schreiber RD,Allen PM,May MJ,Paules RS,Bassing CH,Sleckman BP","GEOID":"GSE9024","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in pre B lymphocyte after induction of physiological DNA double-strand breaks (DSB) by RAG2 [GeneID=5897]; the changes are independent of ATM [GeneID=472] signaling.","DESCRIPTION_FULL":"DNA double-strand breaks are generated by genotoxic agents and by cellular endonucleases as intermediates of several important physiological processes. The cellular response to genotoxic DNA breaks includes the activation of transcriptional programs known primarily to regulate cell-cycle checkpoints and cell survival. DNA double-strand breaks are generated in all developing lymphocytes during the assembly of antigen receptor genes, a process that is essential for normal lymphocyte development. Here we show that in murine lymphocytes these physiological DNA breaks activate a broad transcriptional program. This program transcends the canonical DNA double-strand break response and includes many genes that regulate diverse cellular processes important for lymphocyte development. Moreover, the expression of several of these genes is regulated similarly in response to genotoxic DNA damage. Thus, physiological DNA double-strand breaks provide cues that can regulate cell-type-specific processes not directly involved in maintaining the integrity of the genome, and genotoxic DNA breaks could disrupt normal cellular functions by corrupting these processes."}
{"STANDARD_NAME":"BREDEMEYER_RAG_SIGNALING_VIA_ATM_NOT_VIA_NFKB_UP","SYSTEMATIC_NAME":"M2831","ORGANISM":"Mus musculus","PMID":"18849970","AUTHORS":"Bredemeyer AL,Helmink BA,Innes CL,Calderon B,McGinnis LM,Mahowald GK,Gapud EJ,Walker LM,Collins JB,Weaver BK,Mandik-Nayak L,Schreiber RD,Allen PM,May MJ,Paules RS,Bassing CH,Sleckman BP","GEOID":"GSE9024","EXACT_SOURCE":"Table 2S","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in pre B lymphocyte after induction of physiological DNA double-strand breaks (DSB) by RAG2 [GeneID=5897]; the changes depend on ATM [GeneID=472] but not NFKB signaling.","DESCRIPTION_FULL":"DNA double-strand breaks are generated by genotoxic agents and by cellular endonucleases as intermediates of several important physiological processes. The cellular response to genotoxic DNA breaks includes the activation of transcriptional programs known primarily to regulate cell-cycle checkpoints and cell survival. DNA double-strand breaks are generated in all developing lymphocytes during the assembly of antigen receptor genes, a process that is essential for normal lymphocyte development. Here we show that in murine lymphocytes these physiological DNA breaks activate a broad transcriptional program. This program transcends the canonical DNA double-strand break response and includes many genes that regulate diverse cellular processes important for lymphocyte development. Moreover, the expression of several of these genes is regulated similarly in response to genotoxic DNA damage. Thus, physiological DNA double-strand breaks provide cues that can regulate cell-type-specific processes not directly involved in maintaining the integrity of the genome, and genotoxic DNA breaks could disrupt normal cellular functions by corrupting these processes."}
{"STANDARD_NAME":"BREDEMEYER_RAG_SIGNALING_VIA_ATM_NOT_VIA_NFKB_DN","SYSTEMATIC_NAME":"M3644","ORGANISM":"Mus musculus","PMID":"18849970","AUTHORS":"Bredemeyer AL,Helmink BA,Innes CL,Calderon B,McGinnis LM,Mahowald GK,Gapud EJ,Walker LM,Collins JB,Weaver BK,Mandik-Nayak L,Schreiber RD,Allen PM,May MJ,Paules RS,Bassing CH,Sleckman BP","GEOID":"GSE9024","EXACT_SOURCE":"Table 2S","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in pre B lymphocyte after induction of physiological DNA double-strand breaks (DSB) by RAG2 [GeneID=5897]; the changes depend on ATM [GeneID=472] but not NFKB signaling.","DESCRIPTION_FULL":"DNA double-strand breaks are generated by genotoxic agents and by cellular endonucleases as intermediates of several important physiological processes. The cellular response to genotoxic DNA breaks includes the activation of transcriptional programs known primarily to regulate cell-cycle checkpoints and cell survival. DNA double-strand breaks are generated in all developing lymphocytes during the assembly of antigen receptor genes, a process that is essential for normal lymphocyte development. Here we show that in murine lymphocytes these physiological DNA breaks activate a broad transcriptional program. This program transcends the canonical DNA double-strand break response and includes many genes that regulate diverse cellular processes important for lymphocyte development. Moreover, the expression of several of these genes is regulated similarly in response to genotoxic DNA damage. Thus, physiological DNA double-strand breaks provide cues that can regulate cell-type-specific processes not directly involved in maintaining the integrity of the genome, and genotoxic DNA breaks could disrupt normal cellular functions by corrupting these processes."}
{"STANDARD_NAME":"CONRAD_STEM_CELL","SYSTEMATIC_NAME":"M15383","ORGANISM":"Homo sapiens","PMID":"18849962","AUTHORS":"Conrad S,Renninger M,Hennenlotter J,Wiesner T,Just L,Bonin M,Aicher W,Bühring HJ,Mattheus U,Mack A,Wagner HJ,Minger S,Matzkies M,Reppel M,Hescheler J,Sievert KD,Stenzl A,Skutella T","EXACT_SOURCE":"Table 2S: stem cell enriched genes","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Supplementary Table 2. Genelist comparing microarray expression profiles of spermatogonial cells, haGSCs and hES (H1) cells. Examples of expression rates of different hES cell enriched and germ cell specific genes, surface markers for germ cell selection and signal transduction in all three cell types (spermatogonial cells = SC).","DESCRIPTION_FULL":"Human primordial germ cells and mouse neonatal and adult germline stem cells are pluripotent and show similar properties to embryonic stem cells. Here we report the successful establishment of human adult germline stem cells derived from spermatogonial cells of adult human testis. Cellular and molecular characterization of these cells revealed many similarities to human embryonic stem cells, and the germline stem cells produced teratomas after transplantation into immunodeficient mice. The human adult germline stem cells differentiated into various types of somatic cells of all three germ layers when grown under conditions used to induce the differentiation of human embryonic stem cells. We conclude that the generation of human adult germline stem cells from testicular biopsies may provide simple and non-controversial access to individual cell-based therapy without the ethical and immunological problems associated with human embryonic stem cells."}
{"STANDARD_NAME":"CONRAD_GERMLINE_STEM_CELL","SYSTEMATIC_NAME":"M15040","ORGANISM":"Homo sapiens","PMID":"18849962","AUTHORS":"Conrad S,Renninger M,Hennenlotter J,Wiesner T,Just L,Bonin M,Aicher W,Bühring HJ,Mattheus U,Mack A,Wagner HJ,Minger S,Matzkies M,Reppel M,Hescheler J,Sievert KD,Stenzl A,Skutella T","EXACT_SOURCE":"Table 2S: germ cell specific genes","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes enriched in pluripotent adult germline stem cells.","DESCRIPTION_FULL":"Human primordial germ cells and mouse neonatal and adult germline stem cells are pluripotent and show similar properties to embryonic stem cells. Here we report the successful establishment of human adult germline stem cells derived from spermatogonial cells of adult human testis. Cellular and molecular characterization of these cells revealed many similarities to human embryonic stem cells, and the germline stem cells produced teratomas after transplantation into immunodeficient mice. The human adult germline stem cells differentiated into various types of somatic cells of all three germ layers when grown under conditions used to induce the differentiation of human embryonic stem cells. We conclude that the generation of human adult germline stem cells from testicular biopsies may provide simple and non-controversial access to individual cell-based therapy without the ethical and immunological problems associated with human embryonic stem cells."}
{"STANDARD_NAME":"KUUSELO_PANCREATIC_CANCER_19Q13_AMPLIFICATION","SYSTEMATIC_NAME":"M14529","ORGANISM":"Homo sapiens","PMID":"17332321","AUTHORS":"Kuuselo R,Savinainen K,Azorsa DO,Basu GD,Karhu R,Tuzmen S,Mousses S,Kallioniemi A","EXACT_SOURCE":"Table 1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"List of genes in the 19q13 amplicon region based on a copy number alterations study of a panel of 16 pancreatic cancer cell lines and 31 primary tumors.","DESCRIPTION_FULL":"Pancreatic cancer is a highly aggressive disease characterized by poor prognosis and vast genetic instability. Recent microarray-based, genome-wide surveys have identified multiple recurrent copy number aberrations in pancreatic cancer; however, the target genes are, for the most part, unknown. Here, we characterized the 19q13 amplicon in pancreatic cancer to identify putative new drug targets. Copy number increases at 19q13 were quantitated in 16 pancreatic cancer cell lines and 31 primary tumors by fluorescence in situ hybridization. Cell line copy number data delineated a 1.1 Mb amplicon, the presence of which was also validated in 10% of primary pancreatic tumors. Comprehensive expression analysis by quantitative real-time reverse transcription-PCR indicated that seven transcripts within this region had consistently elevated expression levels in the amplified versus nonamplified cell lines. High-throughput loss-of-function screen by RNA interference was applied across the amplicon to identify genes whose down-regulation affected cell viability. This screen revealed five genes whose down-regulation led to significantly decreased cell viability in the amplified PANC-1 cells but not in the nonamplified MiaPaca-2 cells, suggesting the presence of multiple biologically interesting genes in this region. Of these, the transcriptional regulator intersex-like (IXL) was consistently overexpressed in amplified cells and had the most dramatic effect on cell viability. IXL silencing also resulted in G(0)-G(1) cell cycle arrest and increased apoptosis in PANC-1 cells. These findings implicate IXL as a novel amplification target gene in pancreatic cancer and suggest that IXL is required for cancer cell survival in 19q13-amplified tumors."}
{"STANDARD_NAME":"MATTHEWS_SKIN_CARCINOGENESIS_VIA_JUN","SYSTEMATIC_NAME":"M1848","ORGANISM":"Mus musculus","PMID":"17363560","AUTHORS":"Matthews CP,Birkholz AM,Baker AR,Perella CM,Beck GR Jr,Young MR,Colburn NH","EXACT_SOURCE":"Table 1AS-1CS","CHIP":"Mouse_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated by skin tumor promoters but completely blocked by expression of TAM67, a dominan-negative form of JUN [GeneID=3725].","DESCRIPTION_FULL":"Activation of activator protein 1 (AP-1) and nuclear factor kappaB (NFkappaB)-dependent transcription is required for tumor promotion in cell culture models and transgenic mice. Dominant-negative c-Jun (TAM67) blocks AP-1 activation by dimerizing with Jun or Fos family proteins and blocks NFkappaB activation by interacting with NFkappaB p65. Two-stage [7,12-dimethylbenz(a)anthracene (DMBA)/12-O-tetradecanoylphorbol-13-acetate (TPA)] skin carcinogenesis experiments in a model relevant to human cancer risk, transgenic mice expressing human papillomavirus 16 E7 oncogene (K14-HPV16-E7), show E7-enhanced tumor promotion. A cross to K14-TAM67-expressing mice results in dramatic inhibition of tumor promoter-induced AP-1 luciferase reporter activation and papillomagenesis. Epithelial specific TAM67 expression inhibits tumorigenesis without affecting TPA- or E7-induced hyperproliferation of the skin. Thus, the mouse model enriches for TAM67 targets relevant to tumorigenesis rather than to general cell proliferation or hyperplasia, implicating a subset of AP-1- and/or NFkappaB-dependent genes. The aim of the present study was to identify target genes responsible for TAM67 inhibition of DMBA-TPA-induced tumorigenesis. Microarray expression analysis of epidermal tissues revealed small sets of genes in which expression is both up-regulated by tumor promoter and down-regulated by TAM67. Among these, cyclooxygenase-2 (Cox-2/Ptgs2) and osteopontin (Opn/Spp1) are known to be functionally significant in driving carcinogenesis. Results identify both Cox-2 and Opn as transcriptional targets of TAM67 with CRE, but not NFkappaB sites important in the Cox-2 promoter and an AP-1 site important in the Opn promoter."}
{"STANDARD_NAME":"MATTHEWS_AP1_TARGETS","SYSTEMATIC_NAME":"M1850","ORGANISM":"Mus musculus","PMID":"17363560","AUTHORS":"Matthews CP,Birkholz AM,Baker AR,Perella CM,Beck GR Jr,Young MR,Colburn NH","EXACT_SOURCE":"Table 2S","CHIP":"Mouse_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Known targets of AP1 that were down-regulated by overexpression of TAM67, a dominant-negative form of JUN [GeneID=3725].","DESCRIPTION_FULL":"Activation of activator protein 1 (AP-1) and nuclear factor kappaB (NFkappaB)-dependent transcription is required for tumor promotion in cell culture models and transgenic mice. Dominant-negative c-Jun (TAM67) blocks AP-1 activation by dimerizing with Jun or Fos family proteins and blocks NFkappaB activation by interacting with NFkappaB p65. Two-stage [7,12-dimethylbenz(a)anthracene (DMBA)/12-O-tetradecanoylphorbol-13-acetate (TPA)] skin carcinogenesis experiments in a model relevant to human cancer risk, transgenic mice expressing human papillomavirus 16 E7 oncogene (K14-HPV16-E7), show E7-enhanced tumor promotion. A cross to K14-TAM67-expressing mice results in dramatic inhibition of tumor promoter-induced AP-1 luciferase reporter activation and papillomagenesis. Epithelial specific TAM67 expression inhibits tumorigenesis without affecting TPA- or E7-induced hyperproliferation of the skin. Thus, the mouse model enriches for TAM67 targets relevant to tumorigenesis rather than to general cell proliferation or hyperplasia, implicating a subset of AP-1- and/or NFkappaB-dependent genes. The aim of the present study was to identify target genes responsible for TAM67 inhibition of DMBA-TPA-induced tumorigenesis. Microarray expression analysis of epidermal tissues revealed small sets of genes in which expression is both up-regulated by tumor promoter and down-regulated by TAM67. Among these, cyclooxygenase-2 (Cox-2/Ptgs2) and osteopontin (Opn/Spp1) are known to be functionally significant in driving carcinogenesis. Results identify both Cox-2 and Opn as transcriptional targets of TAM67 with CRE, but not NFkappaB sites important in the Cox-2 promoter and an AP-1 site important in the Opn promoter."}
{"STANDARD_NAME":"QI_PLASMACYTOMA_DN","SYSTEMATIC_NAME":"M1852","ORGANISM":"Mus musculus","PMID":"17363561","AUTHORS":"Qi CF,Zhou JX,Lee CH,Naghashfar Z,Xiang S,Kovalchuk AL,Fredrickson TN,Hartley JW,Roopenian DC,Davidson WF,Janz S,Morse HC 3rd","EXACT_SOURCE":"Table 2: Plasmacytic","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated genes that best disciminate plasmablastic plasmacytoma from plasmacytic plasmacytoma tumors.","DESCRIPTION_FULL":"We have compared histologic features and gene expression profiles of newly identified plasmacytomas from NFS.V(+) congenic mice with plasmacytomas of IL6 transgenic, Fasl mutant, and SJL-beta2M(-/-) mice. NFS.V(+) tumors comprised an overlapping morphologic spectrum of high-grade/anaplastic, intermediate-grade/plasmablastic, and low-grade/plasmacytic cases with similarities to subsets of human multiple myeloma and plasmacytoma. Microarray and immunohistochemical analyses of genes expressed by the most prevalent tumors, plasmablastic plasmacytomas, showed them to be most closely related to immunoblastic lymphomas, less so to plasmacytomas of Fasl mutant and SJL mice, and least to plasmacytic plasmacytomas of IL6 transgenic mice. Plasmablastic tumors seemed to develop in an inflammatory environment associated with gene signatures of T cells, natural killer cells, and macrophages not seen with plasmacytic plasmacytomas. Plasmablastic plasmacytomas from NFS.V(+) and SJL-beta2M(-/-) mice did not have structural alterations in Myc or T(12;15) translocations and did not express Myc at high levels, regular features of transgenic and pristane-induced plasmacytomas. These findings imply that, as for human multiple myeloma, Myc-independent routes of transformation contribute to the pathogenesis of these tumors. These findings suggest that plasma cell neoplasms of mice and humans exhibit similar degrees of complexity. Mouse plasmacytomas, previously considered to be homogeneous, may thus be as diverse as their human counterparts with respect to oncogenic mechanisms of plasma cell transformation. Selecting specific types of mouse plasmacytomas that relate most closely to subtypes of human multiple myeloma may provide new opportunities for preclinical testing of drugs for treatment of the human disease."}
{"STANDARD_NAME":"TAYLOR_METHYLATED_IN_ACUTE_LYMPHOBLASTIC_LEUKEMIA","SYSTEMATIC_NAME":"M2438","ORGANISM":"Homo sapiens","PMID":"17363581","AUTHORS":"Taylor KH,Pena-Hernandez KE,Davis JW,Arthur GL,Duff DJ,Shi H,Rahmatpanah FB,Sjahputera O,Caldwell CW","EXACT_SOURCE":"Table 1S","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes whose DNA methylation differed between primary ALL cells (acute lymphoblastic leukemia) and normal peripheral blood samples.","DESCRIPTION_FULL":"This study examined DNA methylation associated with acute lymphoblastic leukemia (ALL) and showed that selected molecular targets can be pharmacologically modulated to reverse gene silencing. A CpG island (CGI) microarray containing more than 3,400 unique clones that span all human chromosomes was used for large-scale discovery experiments and led to 262 unique CGI loci being statistically identified as methylated in ALL lymphoblasts. The methylation status of 10 clones encompassing 11 genes (DCC, DLC-1, DDX51, KCNK2, LRP1B, NKX6-1, NOPE, PCDHGA12, RPIB9, ABCB1, and SLC2A14) identified as differentially methylated between ALL patients and controls was independently verified. Consequently, the methylation status of DDX51 was found to differentiate patients with B- and T-ALL subtypes (P = 0.011, Fisher's exact test). Next, the relationship between methylation and expression of these genes was examined in ALL cell lines (NALM-6 and Jurkat) before and after treatments with 5-aza-2-deoxycytidine and trichostatin A. More than a 10-fold increase in mRNA expression was observed for two previously identified tumor suppressor genes (DLC-1 and DCC) and also for RPIB9 and PCDHGA12. Although the mechanisms that lead to the CGI methylation of these genes are unknown, bisulfite sequencing of the promoter of RPIB9 suggests that expression is inhibited by methylation within SP1 and AP2 transcription factor binding motifs. Finally, specific chromosomal methylation hotspots were found to be associated with ALL. This study sets the stage for acquiring a better biological understanding of ALL and for the identification of epigenetic biomarkers useful for differential diagnosis, therapeutic monitoring, and the detection of leukemic relapse."}
{"STANDARD_NAME":"CHNG_MULTIPLE_MYELOMA_HYPERPLOID_DN","SYSTEMATIC_NAME":"M8214","ORGANISM":"Homo sapiens","PMID":"17409404","AUTHORS":"Chng WJ,Kumar S,Vanwier S,Ahmann G,Price-Troska T,Henderson K,Chung TH,Kim S,Mulligan G,Bryant B,Carpten J,Gertz M,Rajkumar SV,Lacy M,Dispenzieri A,Kyle R,Greipp P,Bergsagel PL,Fonseca R","GEOID":"GSE6477","EXACT_SOURCE":"Table 4S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Protein biosynthesis, transport or catabolism genes down-regulated in hyperploid multiple myeloma (MM) compared to the non-hyperploid MM samples.","DESCRIPTION_FULL":"Hyperdiploid multiple myeloma (H-MM) is the most common form of myeloma. In this gene expression profiling study, we show that H-MM is defined by a protein biosynthesis signature that is primarily driven by a gene dosage mechanism as a result of trisomic chromosomes. Within H-MM, four independently validated patient clusters overexpressing nonoverlapping sets of genes that form cognate pathways/networks that have potential biological importance in multiple myeloma were identified. One prominent cluster, cluster 1, is characterized by high expression of cancer testis antigen and proliferation-associated genes. Tumors from these patients were more proliferative than tumors in other clusters (median plasma cell labeling index, 3.8; P < 0.05). Another cluster, cluster 3, is characterized by genes involved in tumor necrosis factor/nuclear factor-kappaB signaling and antiapoptosis. These patients have better response to bortezomib as compared with patients within other clusters (70% versus 29%; P = 0.02). Furthermore, for a group of patients generally thought to have better prognosis, a cluster of patients with short survival (cluster 1; median survival, 27 months) could be identified. This analysis illustrates the heterogeneity within H-MM and the importance of defining specific cytogenetic prognostic factors. Furthermore, the signatures that defined these clusters may provide a basis for tailoring treatment to individual patients."}
{"STANDARD_NAME":"HUPER_BREAST_BASAL_VS_LUMINAL_UP","SYSTEMATIC_NAME":"M13422","ORGANISM":"Homo sapiens","PMID":"17409405","AUTHORS":"Huper G,Marks JR","EXACT_SOURCE":"Table 1: S > 0","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in basal mammary epithelial cells compared to the luminal ones.","DESCRIPTION_FULL":"Epithelial cells within the normal breast duct seem to be the primary target for neoplastic transformation events that eventually produce breast cancer. Normal epithelial cells are easily isolated and propagated using standard techniques. However, these techniques almost invariably result in populations of cells that are largely basal in character. Because only approximately 20% of human breast cancers exhibit a basal phenotype, our understanding of the disease may be skewed by using these cells as the primary comparator to cancer. Further, because germ line mutations in BRCA1 yield breast cancers that are most often of the basal type, a comparison of normal basal and luminal cells could yield insight into the tissue and cell type specificity of this hereditary cancer susceptibility gene. In this report, we describe a simplified and efficient method for isolating basal and luminal cells from normal human breast tissue. These isogenic cells can be independently propagated and maintain phenotypic markers consistent with their respective lineages. Using these cultured cells, we show that basal and luminal cells exhibit distinct responses to ionizing radiation. Basal cells undergo a rapid but labile cell cycle arrest, whereas luminal cells show a much more durable arrest, primarily at the G(2)-M boundary. Molecular markers, including p53 protein accumulation, p53-activated genes, and BRCA1 nuclear focus formation all correlate with the respective cell cycle responses. Further, we show that short-term cultures of human breast tissue fragments treated with ionizing radiation show a similar phenomenon as indicated by the biphasic accumulation of p53 protein in the basal versus luminal layer. Together, these results indicate that normal basal cells have a transitory cell cycle arrest after DNA damage that may underlie their increased susceptibility to transformation after the loss of functional BRCA1."}
{"STANDARD_NAME":"HUPER_BREAST_BASAL_VS_LUMINAL_DN","SYSTEMATIC_NAME":"M5505","ORGANISM":"Homo sapiens","PMID":"17409405","AUTHORS":"Huper G,Marks JR","EXACT_SOURCE":"Table 1: S < 0","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in basal mammary epithelial cells compared to the luminal ones.","DESCRIPTION_FULL":"Epithelial cells within the normal breast duct seem to be the primary target for neoplastic transformation events that eventually produce breast cancer. Normal epithelial cells are easily isolated and propagated using standard techniques. However, these techniques almost invariably result in populations of cells that are largely basal in character. Because only approximately 20% of human breast cancers exhibit a basal phenotype, our understanding of the disease may be skewed by using these cells as the primary comparator to cancer. Further, because germ line mutations in BRCA1 yield breast cancers that are most often of the basal type, a comparison of normal basal and luminal cells could yield insight into the tissue and cell type specificity of this hereditary cancer susceptibility gene. In this report, we describe a simplified and efficient method for isolating basal and luminal cells from normal human breast tissue. These isogenic cells can be independently propagated and maintain phenotypic markers consistent with their respective lineages. Using these cultured cells, we show that basal and luminal cells exhibit distinct responses to ionizing radiation. Basal cells undergo a rapid but labile cell cycle arrest, whereas luminal cells show a much more durable arrest, primarily at the G(2)-M boundary. Molecular markers, including p53 protein accumulation, p53-activated genes, and BRCA1 nuclear focus formation all correlate with the respective cell cycle responses. Further, we show that short-term cultures of human breast tissue fragments treated with ionizing radiation show a similar phenomenon as indicated by the biphasic accumulation of p53 protein in the basal versus luminal layer. Together, these results indicate that normal basal cells have a transitory cell cycle arrest after DNA damage that may underlie their increased susceptibility to transformation after the loss of functional BRCA1."}
{"STANDARD_NAME":"MALONEY_RESPONSE_TO_17AAG_UP","SYSTEMATIC_NAME":"M1857","ORGANISM":"Homo sapiens","PMID":"17409432","AUTHORS":"Maloney A,Clarke PA,Naaby-Hansen S,Stein R,Koopman JO,Akpan A,Yang A,Zvelebil M,Cramer R,Stimson L,Aherne W,Banerji U,Judson I,Sharp S,Powers M,deBilly E,Salmons J,Walton M,Burlingame A,Waterfield M,Workman P","EXACT_SOURCE":"Table 1: Increased","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Up-regulated genes in A2780 cells (ovarian cancer) treated with 17AAG [PubChem=6440175], a chemical with anticancer properties.","DESCRIPTION_FULL":"The promising antitumor activity of 17-allylamino-17-demethoxygeldanamycin (17AAG) results from inhibition of the molecular chaperone heat shock protein 90 (HSP90) and subsequent degradation of multiple oncogenic client proteins. Gene expression microarray and proteomic analysis were used to profile molecular changes in the A2780 human ovarian cancer cell line treated with 17AAG. Comparison of results with an inactive analogue and an alternative HSP90 inhibitor radicicol indicated that increased expression of HSP72, HSC70, HSP27, HSP47, and HSP90beta at the mRNA level were on-target effects of 17AAG. HSP27 protein levels were increased in tumor biopsies following treatment of patients with 17AAG. A group of MYC-regulated mRNAs was decreased by 17AAG. Of particular interest and novelty were changes in expression of chromatin-associated proteins. Expression of the heterochromatin protein 1 was increased, and expression of the histone acetyltransferase 1 and the histone arginine methyltransferase PRMT5 was decreased by 17AAG. PRMT5 was shown to be a novel HSP90-binding partner and potential client protein. Cellular protein acetylation was reduced by 17AAG, which was shown to have an antagonistic interaction on cell proliferation with the histone deacetylase inhibitor trichostatin A. This mRNA and protein expression analysis has provided new insights into the complex molecular pharmacology of 17AAG and suggested new genes and proteins that may be involved in response to the drug or be potential biomarkers of drug action."}
{"STANDARD_NAME":"CUI_GLUCOSE_DEPRIVATION","SYSTEMATIC_NAME":"M9780","ORGANISM":"Homo sapiens","PMID":"17409444","AUTHORS":"Cui H,Darmanin S,Natsuisaka M,Kondo T,Asaka M,Shindoh M,Higashino F,Hamuro J,Okada F,Kobayashi M,Nakagawa K,Koide H","EXACT_SOURCE":"Table 1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Representative genes up-regulated in MiaPaCa2 cells (pancreatic cancer) under glucose-deprived conditions.","DESCRIPTION_FULL":"Although hypovasculature is an outstanding characteristic of pancreatic cancers, the tumor cells survive and proliferate under severe hypoxic, glucose-deprived conditions caused by low blood supply. It is well known that the hypoxia-inducible factor-1 pathway is essential for the survival of pancreatic cancer cells under hypoxic conditions. To discover how pancreatic cancer cells adapt to glucose deprivation as well as hypoxia, we sought glucose deprivation-inducible genes by means of a DNA microarray system. We identified 63 genes whose expression was enhanced under glucose-deprived conditions at >2-fold higher levels than under normal glucose conditions. Among these genes, asparagine synthetase (ASNS) was studied in detail. Although it is known to be associated with drug resistance in leukemia and oncogenesis triggered by mutated p53, its function is yet to be determined. In this study, we found that glucose deprivation induced the overexpression of ASNS through an AMP-activated protein kinase-independent and activating transcription factor-4-dependent manner and that ASNS protects pancreatic cancer cells from apoptosis induced by glucose deprivation itself. ASNS overexpression also induced resistance to apoptosis triggered by cisplatin [cis-diammine-dichloroplatinum (CDDP)] and carboplatin, but not by 5-fluorouracil, paclitaxel, etoposide, or gemcitabine. We show that glucose deprivation induces the activation of c-jun NH(2)-terminal kinase (JNK)/stress-activated protein kinase (SAPK) in a mock transfectant but not in an ASNS transfectant. Consequently, an inhibitor of JNK/SAPK decreased the sensitivity of pancreatic cancer cells to apoptosis by glucose deprivation and CDDP. These results strongly suggest that ASNS is induced by glucose deprivation and may play a pivotal role in the survival of pancreatic cancer cells under glucose-deprived conditions."}
{"STANDARD_NAME":"ALONSO_METASTASIS_EMT_UP","SYSTEMATIC_NAME":"M8191","ORGANISM":"Homo sapiens","PMID":"17409456","AUTHORS":"Alonso SR,Tracey L,Ortiz P,Pérez-Gómez B,Palacios J,Pollán M,Linares J,Serrano S,Sáez-Castillo AI,Sánchez L,Pajares R,Sánchez-Aguilera A,Artiga MJ,Piris MA,Rodríguez-Peralto JL","EXACT_SOURCE":"Table 3","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"EMT (epithelial-mesenchymal transition) genes up-regulated genes in melanoma tumous that developed metastatic disease compared to primary melanoma that did not.","DESCRIPTION_FULL":"Metastatic disease is the primary cause of death in cutaneous malignant melanoma (CMM) patients. To understand the mechanisms of CMM metastasis and identify potential predictive markers, we analyzed gene-expression profiles of 34 vertical growth phase melanoma cases using cDNA microarrays. All patients had a minimum follow-up of 36 months. Twenty-one cases developed nodal metastatic disease and 13 did not. Comparison of gene expression profiling of metastatic and nonmetastatic melanoma cases identified 243 genes with a >2-fold differential expression ratio and a false discovery rate of <0.2 (206 up-regulated and 37 down-regulated). This set of genes included molecules involved in cell cycle and apoptosis regulation, epithelial-mesenchymal transition (EMT), signal transduction, nucleic acid binding and transcription, protein synthesis and degradation, metabolism, and a specific group of melanoma- and neural-related proteins. Validation of these expression data in an independent series of melanomas using tissue microarrays confirmed that the expression of a set of proteins included in the EMT group (N-cadherin, osteopontin, and SPARC/osteonectin) were significantly associated with metastasis development. Our results suggest that EMT-related genes contribute to the promotion of the metastatic phenotype in primary CMM by supporting specific adhesive, invasive, and migratory properties. These data give a better understanding of the biology of this aggressive tumor and may provide new prognostic and patient stratification markers in addition to potential therapeutic targets."}
{"STANDARD_NAME":"ALONSO_METASTASIS_EMT_DN","SYSTEMATIC_NAME":"M3029","ORGANISM":"Homo sapiens","PMID":"17409456","AUTHORS":"Alonso SR,Tracey L,Ortiz P,Pérez-Gómez B,Palacios J,Pollán M,Linares J,Serrano S,Sáez-Castillo AI,Sánchez L,Pajares R,Sánchez-Aguilera A,Artiga MJ,Piris MA,Rodríguez-Peralto JL","EXACT_SOURCE":"Table 3","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"EMT (epithelial-mesenchymal transition) genes down-regulated genes in melanoma tumous that developed metastatic disease compared to primary melanoma that did not.","DESCRIPTION_FULL":"Metastatic disease is the primary cause of death in cutaneous malignant melanoma (CMM) patients. To understand the mechanisms of CMM metastasis and identify potential predictive markers, we analyzed gene-expression profiles of 34 vertical growth phase melanoma cases using cDNA microarrays. All patients had a minimum follow-up of 36 months. Twenty-one cases developed nodal metastatic disease and 13 did not. Comparison of gene expression profiling of metastatic and nonmetastatic melanoma cases identified 243 genes with a >2-fold differential expression ratio and a false discovery rate of <0.2 (206 up-regulated and 37 down-regulated). This set of genes included molecules involved in cell cycle and apoptosis regulation, epithelial-mesenchymal transition (EMT), signal transduction, nucleic acid binding and transcription, protein synthesis and degradation, metabolism, and a specific group of melanoma- and neural-related proteins. Validation of these expression data in an independent series of melanomas using tissue microarrays confirmed that the expression of a set of proteins included in the EMT group (N-cadherin, osteopontin, and SPARC/osteonectin) were significantly associated with metastasis development. Our results suggest that EMT-related genes contribute to the promotion of the metastatic phenotype in primary CMM by supporting specific adhesive, invasive, and migratory properties. These data give a better understanding of the biology of this aggressive tumor and may provide new prognostic and patient stratification markers in addition to potential therapeutic targets."}
{"STANDARD_NAME":"ALONSO_METASTASIS_NEURAL_UP","SYSTEMATIC_NAME":"M19437","ORGANISM":"Homo sapiens","PMID":"17409456","AUTHORS":"Alonso SR,Tracey L,Ortiz P,Pérez-Gómez B,Palacios J,Pollán M,Linares J,Serrano S,Sáez-Castillo AI,Sánchez L,Pajares R,Sánchez-Aguilera A,Artiga MJ,Piris MA,Rodríguez-Peralto JL","EXACT_SOURCE":"Table 4","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neural-related genes up-regulated in melanoma tumors that developed metastases compared to primary melanoma that did not.","DESCRIPTION_FULL":"Metastatic disease is the primary cause of death in cutaneous malignant melanoma (CMM) patients. To understand the mechanisms of CMM metastasis and identify potential predictive markers, we analyzed gene-expression profiles of 34 vertical growth phase melanoma cases using cDNA microarrays. All patients had a minimum follow-up of 36 months. Twenty-one cases developed nodal metastatic disease and 13 did not. Comparison of gene expression profiling of metastatic and nonmetastatic melanoma cases identified 243 genes with a >2-fold differential expression ratio and a false discovery rate of <0.2 (206 up-regulated and 37 down-regulated). This set of genes included molecules involved in cell cycle and apoptosis regulation, epithelial-mesenchymal transition (EMT), signal transduction, nucleic acid binding and transcription, protein synthesis and degradation, metabolism, and a specific group of melanoma- and neural-related proteins. Validation of these expression data in an independent series of melanomas using tissue microarrays confirmed that the expression of a set of proteins included in the EMT group (N-cadherin, osteopontin, and SPARC/osteonectin) were significantly associated with metastasis development. Our results suggest that EMT-related genes contribute to the promotion of the metastatic phenotype in primary CMM by supporting specific adhesive, invasive, and migratory properties. These data give a better understanding of the biology of this aggressive tumor and may provide new prognostic and patient stratification markers in addition to potential therapeutic targets."}
{"STANDARD_NAME":"ALONSO_METASTASIS_UP","SYSTEMATIC_NAME":"M3582","ORGANISM":"Homo sapiens","PMID":"17409456","AUTHORS":"Alonso SR,Tracey L,Ortiz P,Pérez-Gómez B,Palacios J,Pollán M,Linares J,Serrano S,Sáez-Castillo AI,Sánchez L,Pajares R,Sánchez-Aguilera A,Artiga MJ,Piris MA,Rodríguez-Peralto JL","EXACT_SOURCE":"Table 1S","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Up-regulated genes in melanoma tumous that developed metastatic disease compared to primary melanoma that did not.","DESCRIPTION_FULL":"Metastatic disease is the primary cause of death in cutaneous malignant melanoma (CMM) patients. To understand the mechanisms of CMM metastasis and identify potential predictive markers, we analyzed gene-expression profiles of 34 vertical growth phase melanoma cases using cDNA microarrays. All patients had a minimum follow-up of 36 months. Twenty-one cases developed nodal metastatic disease and 13 did not. Comparison of gene expression profiling of metastatic and nonmetastatic melanoma cases identified 243 genes with a >2-fold differential expression ratio and a false discovery rate of <0.2 (206 up-regulated and 37 down-regulated). This set of genes included molecules involved in cell cycle and apoptosis regulation, epithelial-mesenchymal transition (EMT), signal transduction, nucleic acid binding and transcription, protein synthesis and degradation, metabolism, and a specific group of melanoma- and neural-related proteins. Validation of these expression data in an independent series of melanomas using tissue microarrays confirmed that the expression of a set of proteins included in the EMT group (N-cadherin, osteopontin, and SPARC/osteonectin) were significantly associated with metastasis development. Our results suggest that EMT-related genes contribute to the promotion of the metastatic phenotype in primary CMM by supporting specific adhesive, invasive, and migratory properties. These data give a better understanding of the biology of this aggressive tumor and may provide new prognostic and patient stratification markers in addition to potential therapeutic targets."}
{"STANDARD_NAME":"ALONSO_METASTASIS_DN","SYSTEMATIC_NAME":"M17331","ORGANISM":"Homo sapiens","PMID":"17409456","AUTHORS":"Alonso SR,Tracey L,Ortiz P,Pérez-Gómez B,Palacios J,Pollán M,Linares J,Serrano S,Sáez-Castillo AI,Sánchez L,Pajares R,Sánchez-Aguilera A,Artiga MJ,Piris MA,Rodríguez-Peralto JL","EXACT_SOURCE":"Table 1S","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated genes in melanoma tumors that developed metastatic disease compared to primary melanoma that did not.","DESCRIPTION_FULL":"Metastatic disease is the primary cause of death in cutaneous malignant melanoma (CMM) patients. To understand the mechanisms of CMM metastasis and identify potential predictive markers, we analyzed gene-expression profiles of 34 vertical growth phase melanoma cases using cDNA microarrays. All patients had a minimum follow-up of 36 months. Twenty-one cases developed nodal metastatic disease and 13 did not. Comparison of gene expression profiling of metastatic and nonmetastatic melanoma cases identified 243 genes with a >2-fold differential expression ratio and a false discovery rate of <0.2 (206 up-regulated and 37 down-regulated). This set of genes included molecules involved in cell cycle and apoptosis regulation, epithelial-mesenchymal transition (EMT), signal transduction, nucleic acid binding and transcription, protein synthesis and degradation, metabolism, and a specific group of melanoma- and neural-related proteins. Validation of these expression data in an independent series of melanomas using tissue microarrays confirmed that the expression of a set of proteins included in the EMT group (N-cadherin, osteopontin, and SPARC/osteonectin) were significantly associated with metastasis development. Our results suggest that EMT-related genes contribute to the promotion of the metastatic phenotype in primary CMM by supporting specific adhesive, invasive, and migratory properties. These data give a better understanding of the biology of this aggressive tumor and may provide new prognostic and patient stratification markers in addition to potential therapeutic targets."}
{"STANDARD_NAME":"CROMER_TUMORIGENESIS_DN","SYSTEMATIC_NAME":"M16948","ORGANISM":"Homo sapiens","PMID":"14676830","AUTHORS":"Cromer A,Carles A,Millon R,Ganguli G,Chalmel F,Lemaire F,Young J,Dembélé D,Thibault C,Muller D,Poch O,Abecassis J,Wasylyk B","GEOID":"GSE2379","EXACT_SOURCE":"Table 3","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Tumorigenesis markers of head and neck squamous cell carcinoma (HNSCC): down-regulated in the 'early' tumors vs normal samples.","DESCRIPTION_FULL":"Head and neck squamous cell carcinoma (HNSCC) is the sixth most common cancer among men in the developed world. There is a need, for both clinical and scientific reasons, to find markers to identify patients with aggressive disease as early as possible, and to understand the events leading to malignant transformation and susceptibility to metastasis. We report the first large-scale gene expression analysis of a unique HNSCC location, the hypopharynx. Four normal and 34 tumour samples were analysed with 12 600 gene microarrays. Clusters of differentially expressed genes were identified in the chromosomal regions 3q27.3, 17q21.2-q21.31, 7q11.22-q22.1 and 11q13.1-q13.3, which, interestingly, have already been identified by comparative genomic hybridization (CGH) as major regions of gene amplification. We showed that six overexpressed genes (EIF4G1, DVL3, EPHB4, MCM7, BRMS1 and SART1) located in these regions are indeed amplified. We report 119 genes that are highly differentially expressed between 'early' tumours and normal samples. Of these, we validated by quantitative PCR six novel poorly characterized genes. These genes are potential new markers of HNSCC. Comparing patients with relatively nonaggressive and aggressive tumours (without or with clinical evidence of metastasis 3 years after surgery), we identified 164 differentially expressed genes potentially involved in the acquisition of metastatic potential. This study contributes to the understanding of HNSCC, staging patients into prognostic groups and identifying high-risk patients who may benefit from more aggressive treatment."}
{"STANDARD_NAME":"KRISHNAN_FURIN_TARGETS_DN","SYSTEMATIC_NAME":"M8701","ORGANISM":"Mus musculus","PMID":"18690214","AUTHORS":"Krishnan MN,Ng A,Sukumaran B,Gilfoy FD,Uchil PD,Sultana H,Brass AL,Adametz R,Tsui M,Qian F,Montgomery RR,Lev S,Mason PW,Koski RA,Elledge SJ,Xavier RJ,Agaisse H,Fikrig E","EXACT_SOURCE":"Fig. 3bS","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in naive T lymphocytes lacking FURIN [GeneID=5045]: Cre-Lox knockout of FURIN in CD4+ [GeneID=920] cells.","DESCRIPTION_FULL":"West Nile virus (WNV), and related flaviviruses such as tick-borne encephalitis, Japanese encephalitis, yellow fever and dengue viruses, constitute a significant global human health problem. However, our understanding of the molecular interaction of such flaviviruses with mammalian host cells is limited. WNV encodes only 10 proteins, implying that it may use many cellular proteins for infection. WNV enters the cytoplasm through pH-dependent endocytosis, undergoes cycles of translation and replication, assembles progeny virions in association with endoplasmic reticulum, and exits along the secretory pathway. RNA interference (RNAi) presents a powerful forward genetics approach to dissect virus-host cell interactions. Here we report the identification of 305 host proteins that affect WNV infection, using a human-genome-wide RNAi screen. Functional clustering of the genes revealed a complex dependence of this virus on host cell physiology, requiring a wide variety of molecules and cellular pathways for successful infection. We further demonstrate a requirement for the ubiquitin ligase CBLL1 in WNV internalization, a post-entry role for the endoplasmic-reticulum-associated degradation pathway in viral infection, and the monocarboxylic acid transporter MCT4 as a viral replication resistance factor. By extending this study to dengue virus, we show that flaviviruses have both overlapping and unique interaction strategies with host cells. This study provides a comprehensive molecular portrait of WNV-human cell interactions that forms a model for understanding single plus-stranded RNA virus infection, and reveals potential antiviral targets."}
{"STANDARD_NAME":"YAUCH_HEDGEHOG_SIGNALING_PARACRINE_UP","SYSTEMATIC_NAME":"M19384","ORGANISM":"Mus musculus","PMID":"18754008","AUTHORS":"Yauch RL,Gould SE,Scales SJ,Tang T,Tian H,Ahn CP,Marshall D,Fu L,Januario T,Kallop D,Nannini-Pepe M,Kotkow K,Marsters JC,Rubin LL,de Sauvage FJ","GEOID":"GSE11981","EXACT_SOURCE":"Supplmentary File 2: pvalue<0.05 and log2(Fold Change) > 1.5","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in mouse stroma of pancreatic adenocarcinoma zenografts after treatment with HhAntag, a hedgehog (Hh) pathway inhibitor.","DESCRIPTION_FULL":"Ligand-dependent activation of the hedgehog (Hh) signalling pathway has been associated with tumorigenesis in a number of human tissues. Here we show that, although previous reports have described a cell-autonomous role for Hh signalling in these tumours, Hh ligands fail to activate signalling in tumour epithelial cells. In contrast, our data support ligand-dependent activation of the Hh pathway in the stromal microenvironment. Specific inhibition of Hh signalling using small molecule inhibitors, a neutralizing anti-Hh antibody or genetic deletion of smoothened (Smo) in the mouse stroma results in growth inhibition in xenograft tumour models. Taken together, these studies demonstrate a paracrine requirement for Hh ligand signalling in the tumorigenesis of Hh-expressing cancers and have important implications for the development of Hh pathway antagonists in cancer."}
{"STANDARD_NAME":"FIRESTEIN_CTNNB1_PATHWAY_AND_PROLIFERATION","SYSTEMATIC_NAME":"M16807","ORGANISM":"Homo sapiens","PMID":"18794900","AUTHORS":"Firestein R,Bass AJ,Kim SY,Dunn IF,Silver SJ,Guney I,Freed E,Ligon AH,Vena N,Ogino S,Chheda MG,Tamayo P,Finn S,Shrestha Y,Boehm JS,Jain S,Bojarski E,Mermel C,Barretina J,Chan JA,Baselga J,Tabernero J,Root DE,Fuchs CS,Loda M,Shivdasani RA,Meyerson M,Hahn WC","EXACT_SOURCE":"Fig. 1D","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes required for both proliferation and CTNNB1 [GeneID=1499] activity in DLD-1 cell (colon cancer with APC [GeneID=324] deletions).","DESCRIPTION_FULL":"Aberrant activation of the canonical WNT/beta-catenin pathway occurs in almost all colorectal cancers and contributes to their growth, invasion and survival. Although dysregulated beta-catenin activity drives colon tumorigenesis, further genetic perturbations are required to elaborate full malignant transformation. To identify genes that both modulate beta-catenin activity and are essential for colon cancer cell proliferation, we conducted two loss-of-function screens in human colon cancer cells and compared genes identified in these screens with an analysis of copy number alterations in colon cancer specimens. One of these genes, CDK8, which encodes a member of the mediator complex, is located at 13q12.13, a region of recurrent copy number gain in a substantial fraction of colon cancers. Here we show that the suppression of CDK8 expression inhibits proliferation in colon cancer cells characterized by high levels of CDK8 and beta-catenin hyperactivity. CDK8 kinase activity was necessary for beta-catenin-driven transformation and for expression of several beta-catenin transcriptional targets. Together these observations suggest that therapeutic interventions targeting CDK8 may confer a clinical benefit in beta-catenin-driven malignancies."}
{"STANDARD_NAME":"FIRESTEIN_CTNNB1_PATHWAY","SYSTEMATIC_NAME":"M1489","ORGANISM":"Homo sapiens","PMID":"18794900","AUTHORS":"Firestein R,Bass AJ,Kim SY,Dunn IF,Silver SJ,Guney I,Freed E,Ligon AH,Vena N,Ogino S,Chheda MG,Tamayo P,Finn S,Shrestha Y,Boehm JS,Jain S,Bojarski E,Mermel C,Barretina J,Chan JA,Baselga J,Tabernero J,Root DE,Fuchs CS,Loda M,Shivdasani RA,Meyerson M,Hahn WC","EXACT_SOURCE":"Table 1S: Z score <= -2","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes required for CTNNB1 [GeneID=1499] activity in DLD-1 cell (colon cancer with APC [GeneID=324] deletions), based on shRNA screen.","DESCRIPTION_FULL":"Aberrant activation of the canonical WNT/beta-catenin pathway occurs in almost all colorectal cancers and contributes to their growth, invasion and survival. Although dysregulated beta-catenin activity drives colon tumorigenesis, further genetic perturbations are required to elaborate full malignant transformation. To identify genes that both modulate beta-catenin activity and are essential for colon cancer cell proliferation, we conducted two loss-of-function screens in human colon cancer cells and compared genes identified in these screens with an analysis of copy number alterations in colon cancer specimens. One of these genes, CDK8, which encodes a member of the mediator complex, is located at 13q12.13, a region of recurrent copy number gain in a substantial fraction of colon cancers. Here we show that the suppression of CDK8 expression inhibits proliferation in colon cancer cells characterized by high levels of CDK8 and beta-catenin hyperactivity. CDK8 kinase activity was necessary for beta-catenin-driven transformation and for expression of several beta-catenin transcriptional targets. Together these observations suggest that therapeutic interventions targeting CDK8 may confer a clinical benefit in beta-catenin-driven malignancies."}
{"STANDARD_NAME":"FIRESTEIN_PROLIFERATION","SYSTEMATIC_NAME":"M5354","ORGANISM":"Homo sapiens","PMID":"18794900","AUTHORS":"Firestein R,Bass AJ,Kim SY,Dunn IF,Silver SJ,Guney I,Freed E,Ligon AH,Vena N,Ogino S,Chheda MG,Tamayo P,Finn S,Shrestha Y,Boehm JS,Jain S,Bojarski E,Mermel C,Barretina J,Chan JA,Baselga J,Tabernero J,Root DE,Fuchs CS,Loda M,Shivdasani RA,Meyerson M,Hahn WC","EXACT_SOURCE":"Table 2S: Z score <= -2","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes required for proliferation of DLD-1 cell (colon cancer with APC [GeneID=324] deletions), based on shRNA screen.","DESCRIPTION_FULL":"Aberrant activation of the canonical WNT/beta-catenin pathway occurs in almost all colorectal cancers and contributes to their growth, invasion and survival. Although dysregulated beta-catenin activity drives colon tumorigenesis, further genetic perturbations are required to elaborate full malignant transformation. To identify genes that both modulate beta-catenin activity and are essential for colon cancer cell proliferation, we conducted two loss-of-function screens in human colon cancer cells and compared genes identified in these screens with an analysis of copy number alterations in colon cancer specimens. One of these genes, CDK8, which encodes a member of the mediator complex, is located at 13q12.13, a region of recurrent copy number gain in a substantial fraction of colon cancers. Here we show that the suppression of CDK8 expression inhibits proliferation in colon cancer cells characterized by high levels of CDK8 and beta-catenin hyperactivity. CDK8 kinase activity was necessary for beta-catenin-driven transformation and for expression of several beta-catenin transcriptional targets. Together these observations suggest that therapeutic interventions targeting CDK8 may confer a clinical benefit in beta-catenin-driven malignancies."}
{"STANDARD_NAME":"WANG_TUMOR_INVASIVENESS_DN","SYSTEMATIC_NAME":"M1866","ORGANISM":"Mus musculus","PMID":"17440055","AUTHORS":"Wang W,Wyckoff JB,Goswami S,Wang Y,Sidani M,Segall JE,Condeelis JS","EXACT_SOURCE":"Table 2S: Invasive/general =< 0.5","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated genes in the subpopulation of invasive PyMT cells (breast cancer) compared to the general population of PyMT cells.","DESCRIPTION_FULL":"Correlating tumor cell behavior in vivo with patterns of gene expression has led to new insights into the microenvironment of tumor cells in the primary tumor. Until now, these studies have been done with cell line-derived tumors. In the current study, we have analyzed, in polyoma middle T oncogene (PyMT)-derived mammary tumors, tumor cell behavior and gene expression patterns of the invasive subpopulation of tumor cells by multiphoton-based intravital imaging and microarray-based expression profiling, respectively. Our results indicate that the patterns of cell behavior that contribute to invasion and metastasis in the PyMT tumor are similar to those seen previously in rat MTLn3 cell line-derived mammary tumors. The invasive tumor cells collected from PyMT mouse mammary tumors, like their counterparts from rat xenograft mammary tumors, are a population that is relatively nondividing and nonapoptotic but chemotherapy resistant and chemotactic. Changes in the expression of genes that occur uniquely in the invasive subpopulation of tumor cells in the PyMT mammary tumors that fall on the Arp2/3 complex, capping protein and cofilin pathways show a pattern like that seen previously in invasive tumor cells from the MTLn3 cell line-derived tumors. These changes predict an enhanced activity of the cofilin pathway, and this was confirmed in isolated invasive PyMT tumor cells. We conclude that changes in gene expression and their related changes in cell behavior, which were identified in the invasive tumor cells of cell line-derived tumors, are conserved in the invasive tumor cells of PyMT-derived mouse mammary tumors, although these tumor types have different genetic origins."}
{"STANDARD_NAME":"JIANG_TIP30_TARGETS_UP","SYSTEMATIC_NAME":"M12641","ORGANISM":"Homo sapiens","PMID":"17440068","AUTHORS":"Jiang C,Pecha J,Hoshino I,Ankrapp D,Xiao H","EXACT_SOURCE":"Table 1S: Fold change > 1.7","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Up-regulated genes in HepG2 cells (liver cancer) overexpressing an oncogenic variant of tumor suppressor TIP30 [GeneID=10553] compared to its wild type form.","DESCRIPTION_FULL":"TIP30 is a tumor suppressor whose expression is altered in human liver, prostate, lung, colon, and breast cancers. Mice lacking TIP30 spontaneously developed hepatocellular carcinomas (HCC) and other tumors at a higher incidence than wild-type mice. Somatic missense mutations in the TIP30 gene were identified in human HCC tissue specimens, which resulted in instability or abnormal cellular distribution of TIP30 protein in cells. Here, we show that TIP30 mutants are able to promote cell growth and invasion and inhibit cisplatin-induced apoptosis in the HCC cell line HepG2 negative for endogenous TIP30. Moreover, one of the TIP30 mutants can dramatically accelerate tumor formation in immunodeficient mice. Analysis of gene expression in HepG2 cells, ectopically expressing either wild-type TIP30 or mutant TIP30, by Affymetrix GeneChip array, real-time quantitative PCR, and Western blotting assays reveals that TIP30 mutants can alter expression of genes involved in the regulation of tumorigenesis. This includes up-regulation of expression of N-cadherin and c-MYC and down-regulation of expression of p53 and E-cadherin. N-cadherin knockdown with small interfering RNA in HepG2 cells expressing mutant TIP30 resulted in a profound reduction in cell viability. Taken together, our data indicate that somatic mutations in the TIP30 gene may abolish its native tumor-suppressor activity and gain oncogenic activities partially through up-regulation of N-cadherin, thereby potentiating the pathogenesis of HCC in patients."}
{"STANDARD_NAME":"JIANG_TIP30_TARGETS_DN","SYSTEMATIC_NAME":"M13930","ORGANISM":"Homo sapiens","PMID":"17440068","AUTHORS":"Jiang C,Pecha J,Hoshino I,Ankrapp D,Xiao H","EXACT_SOURCE":"Table 1S: Fold change < -1.7","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated genes in HepG2 cells (liver cancer) overexpressing an oncogenic variant of tumor suppressor TIP30 [GeneID=10553] compared to its wild type form.","DESCRIPTION_FULL":"TIP30 is a tumor suppressor whose expression is altered in human liver, prostate, lung, colon, and breast cancers. Mice lacking TIP30 spontaneously developed hepatocellular carcinomas (HCC) and other tumors at a higher incidence than wild-type mice. Somatic missense mutations in the TIP30 gene were identified in human HCC tissue specimens, which resulted in instability or abnormal cellular distribution of TIP30 protein in cells. Here, we show that TIP30 mutants are able to promote cell growth and invasion and inhibit cisplatin-induced apoptosis in the HCC cell line HepG2 negative for endogenous TIP30. Moreover, one of the TIP30 mutants can dramatically accelerate tumor formation in immunodeficient mice. Analysis of gene expression in HepG2 cells, ectopically expressing either wild-type TIP30 or mutant TIP30, by Affymetrix GeneChip array, real-time quantitative PCR, and Western blotting assays reveals that TIP30 mutants can alter expression of genes involved in the regulation of tumorigenesis. This includes up-regulation of expression of N-cadherin and c-MYC and down-regulation of expression of p53 and E-cadherin. N-cadherin knockdown with small interfering RNA in HepG2 cells expressing mutant TIP30 resulted in a profound reduction in cell viability. Taken together, our data indicate that somatic mutations in the TIP30 gene may abolish its native tumor-suppressor activity and gain oncogenic activities partially through up-regulation of N-cadherin, thereby potentiating the pathogenesis of HCC in patients."}
{"STANDARD_NAME":"GRESHOCK_CANCER_COPY_NUMBER_UP","SYSTEMATIC_NAME":"M9150","ORGANISM":"Homo sapiens","PMID":"17440070","AUTHORS":"Greshock J,Nathanson K,Martin AM,Zhang L,Coukos G,Weber BL,Zaks TZ","GEOID":"GSE7692","EXACT_SOURCE":"Table 3S","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes from common genomic gains observed in a meta analyis of copy number alterations across a panel of different cancer cell lines and tumor samples.","DESCRIPTION_FULL":"Tumor-derived cell lines are used as in vitro cancer models, but their ability to accurately reflect the phenotype and genotype of the parental histology remains questionable, given the prevalence of documented cell line-specific cytogenetic changes. We have addressed the issue of whether copy number alterations seen in tumor-derived cell lines reflect those observed in studies of fresh tissue by carrying out a meta-analysis of array-based comparative genomic hybridization data that considers both copy number alteration frequencies and the occurrence of cancer gene amplifications and homozygous deletions. Pairwise correlation comparisons between the data sets of seven diagnosis-specific matched tumor and cell line groups indicate that the trends in aberration frequencies are highly correlated between tumors and cell line sets of matched cancer histology relative to unmatched pairings. Despite their similarities, cell lines showed uniformly higher locus-specific alteration frequencies (P = 0.004) and several recurring cell line-specific alterations emerged. These include the previously documented losses of 13q and 9p and gains of 20q, as well as additional undescribed cell line-specific gains of 5p, 7p, and 17q and losses of 18q and 4q. These results indicate that, on average, cell lines preserve in vitro the genetic aberrations that are unique to the parent histology from which they were derived while acquiring additional locus-specific alterations. These data may enable a more predictive understanding of individual cell lines as in vitro models of cancer biology and therapy."}
{"STANDARD_NAME":"WANG_NEOPLASTIC_TRANSFORMATION_BY_CCND1_MYC","SYSTEMATIC_NAME":"M1867","ORGANISM":"Mus musculus","PMID":"17440082","AUTHORS":"Wang Y,Thakur A,Sun Y,Wu J,Biliran H,Bollig A,Liao DJ","EXACT_SOURCE":"Table 3A","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Selected genes changed in NMuMG cells (mammary epithelium) transformed by overexpression of CCND1 [GeneID=595] vs those transformed by overexpression of CCND1 and MYC [GeneID=4609].","DESCRIPTION_FULL":"Cyclin D1 is one of the most commonly overexpressed oncogenes in breast cancer; yet, it is not clear whether cyclin D1 alone is capable of causing malignant transformation of mammary epithelial cells. Here, we show that ectopic expression of cyclin D1 in benign mouse mammary epithelial cells promotes cell proliferation, anchorage-independent growth in soft agar, and tumorigenesis in severe combined immunodeficient mice. To address the possible interaction of cyclin D1 and c-myc in malignant transformation, we used cyclin D1/c-myc dual-expressing clones, which displayed more aggressive and invasive phenotype than cyclin D1-expressing clones. These data provide evidence that overexpression of cyclin D1 or coexpression with c-myc could cause invasive malignant transformation of benign mouse mammary epithelial cells. Furthermore, microarray analysis of cyclin D1 and cyclin D1/c-myc clones showed that these two tumor-producing clones might use distinct invasive pathways. In summary, overexpression of cyclin D1 may commit mammary epithelia to a tumor-prone phenotype in which cooperation with other genes, such as synergy with c-myc, may lead to a more aggressive phenotype."}
{"STANDARD_NAME":"TSAI_RESPONSE_TO_RADIATION_THERAPY","SYSTEMATIC_NAME":"M308","ORGANISM":"Mus musculus","PMID":"17440099","AUTHORS":"Tsai MH,Cook JA,Chandramouli GV,DeGraff W,Yan H,Zhao S,Coleman CN,Mitchell JB,Chuang EY","EXACT_SOURCE":"Table 2, 3","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in response to both single dose and fractionated radiation that were common to all three cell lines studied.","DESCRIPTION_FULL":"Studies were conducted to determine whether gene expression profiles following a single dose of radiation would yield equivalent profiles following fractionated radiation in different tumor cell lines. MCF7 (breast), DU145 (prostate), and SF539 (gliosarcoma) cells were exposed to a total radiation dose of 10 Gy administered as a single dose (SD) or by daily multifractions (MF) of 5 x 2 Gy. Following radiation treatment, mRNA was isolated at 1, 4, 10, and 24 h and processed for cDNA microarray analysis. To determine the influence of the tumor microenvironment on gene expression, one cell type (DU145) was evaluated growing as a solid tumor in athymic nude mice for both radiation protocols. Unsupervised hierarchical cluster map analysis showed significant differences in gene expression profiles between SD and MF treatments for cells treated in vitro, with MF yielding a more robust induction compared with SD. Several genes were uniquely up-regulated by MF treatment, including multiple IFN-related genes (STAT1, G1P2, OAS1, OAS3, G1P3, IFITM1) and TGF-beta-associated genes (EGR1, VEGF, THBS1, and TGFB2). DU145 cells grown in vivo exhibited a completely different set of genes induced by both SD and MF compared with the same cells exposed in vitro. The results of the study clearly show distinct differences in the molecular response of cells between SD and MF radiation exposures and show that the tumor microenvironment can significantly influence the pattern of gene expression after radiation exposures."}
{"STANDARD_NAME":"SASAI_TARGETS_OF_CXCR6_AND_PTCH1_UP","SYSTEMATIC_NAME":"M10694","ORGANISM":"Mus musculus","PMID":"17413002","AUTHORS":"Sasai K,Romer JT,Kimura H,Eberhart DE,Rice DS,Curran T","GEOID":"GSE7212","EXACT_SOURCE":"Table 2S: log-ratio > 0","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Up-regulated genes in medulloblastoma tumors from heterozygotic CXCR6 [GeneID=10663] knockout mice compared to those from PTCH1 [GeneID=5727] heterozygotic knockout mice.","DESCRIPTION_FULL":"The sonic hedgehog (Shh) pathway is activated in approximately 30% of human medulloblastoma resulting in increased expression of downstream target genes. In about half of these cases, this has been shown to be a consequence of mutations in regulatory genes within the pathway, including Ptc1, Smo, and Sufu. However, for some tumors, no mutations have been detected in known pathway genes. This suggests that either mutations in other genes promote tumorigenesis or that epigenetic alterations increase pathway activity in these tumors. Here, we report that 3% to 4% of mice lacking either one or both functional copies of Cxcr6 develop medulloblastoma. Although CXCR6 is not known to be involved in Shh signaling, tumors derived from Cxcr6 mutant mice expressed Shh pathway target genes including Gli1, Gli2, Ptc2, and Sfrp1, indicating elevated pathway activity. Interestingly, the level of Ptc1 expression was decreased in tumor cells although two normal copies of Ptc1 were retained. This implies that reduced CXCR6 function leads to suppression of Ptc1 thereby increasing Smoothened function and promoting tumorigenesis. We used a direct transplant model to test the sensitivity of medulloblastoma arising in Cxcr6 mutant mice to a small-molecule inhibitor of Smoothened (HhAntag). We found that transplanted tumors were dramatically inhibited in mice treated for only 4 days with HhAntag. These findings suggest that HhAntag may be effective against tumors lacking mutations in known Shh pathway genes."}
{"STANDARD_NAME":"SASAI_TARGETS_OF_CXCR6_AND_PTCH1_DN","SYSTEMATIC_NAME":"M17228","ORGANISM":"Mus musculus","PMID":"17413002","AUTHORS":"Sasai K,Romer JT,Kimura H,Eberhart DE,Rice DS,Curran T","GEOID":"GSE7212","EXACT_SOURCE":"Table 2S: log-ratio < 0","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated genes in medulloblastoma tumors from heterozygotic CXCR6 [GeneID=10663] knockout mice compared to those from PTCH1 [GeneID=5727] heterozygotic knockout mice.","DESCRIPTION_FULL":"The sonic hedgehog (Shh) pathway is activated in approximately 30% of human medulloblastoma resulting in increased expression of downstream target genes. In about half of these cases, this has been shown to be a consequence of mutations in regulatory genes within the pathway, including Ptc1, Smo, and Sufu. However, for some tumors, no mutations have been detected in known pathway genes. This suggests that either mutations in other genes promote tumorigenesis or that epigenetic alterations increase pathway activity in these tumors. Here, we report that 3% to 4% of mice lacking either one or both functional copies of Cxcr6 develop medulloblastoma. Although CXCR6 is not known to be involved in Shh signaling, tumors derived from Cxcr6 mutant mice expressed Shh pathway target genes including Gli1, Gli2, Ptc2, and Sfrp1, indicating elevated pathway activity. Interestingly, the level of Ptc1 expression was decreased in tumor cells although two normal copies of Ptc1 were retained. This implies that reduced CXCR6 function leads to suppression of Ptc1 thereby increasing Smoothened function and promoting tumorigenesis. We used a direct transplant model to test the sensitivity of medulloblastoma arising in Cxcr6 mutant mice to a small-molecule inhibitor of Smoothened (HhAntag). We found that transplanted tumors were dramatically inhibited in mice treated for only 4 days with HhAntag. These findings suggest that HhAntag may be effective against tumors lacking mutations in known Shh pathway genes."}
{"STANDARD_NAME":"BEIER_GLIOMA_STEM_CELL_UP","SYSTEMATIC_NAME":"M9126","ORGANISM":"Homo sapiens","PMID":"17483311","AUTHORS":"Beier D,Hau P,Proescholdt M,Lohmeier A,Wischhusen J,Oefner PJ,Aigner L,Brawanski A,Bogdahn U,Beier CP","GEOID":"GSE7181","EXACT_SOURCE":"Suppl. Data 3: fold regulation > 2","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in cancer stem cells derived from glyoblastoma tumors: CD133+ [GeneID=8842] vs. CD133- cells.","DESCRIPTION_FULL":"Although glioblastomas show the same histologic phenotype, biological hallmarks such as growth and differentiation properties vary considerably between individual cases. To investigate whether different subtypes of glioblastomas might originate from different cells of origin, we cultured tumor cells from 22 glioblastomas under medium conditions favoring the growth of neural and cancer stem cells (CSC). Secondary glioblastoma (n = 7)-derived cells did not show any growth in the medium used, suggesting the absence of neural stem cell-like tumor cells. In contrast, 11/15 primary glioblastomas contained a significant CD133(+) subpopulation that displayed neurosphere-like, nonadherent growth and asymmetrical cell divisions yielding cells expressing markers characteristic for all three neural lineages. Four of 15 cell lines derived from primary glioblastomas grew adherently in vitro and were driven by CD133(-) tumor cells that fulfilled stem cell criteria. Both subtypes were similarly tumorigenic in nude mice in vivo. Clinically, CD133(-) glioblastomas were characterized by a lower proliferation index, whereas glial fibrillary acidic protein staining was similar. GeneArray analysis revealed 117 genes to be differentially expressed by these two subtypes. Together, our data provide first evidence that CD133(+) CSC maintain only a subset of primary glioblastomas. The remainder stems from previously unknown CD133(-) tumor cells with apparent stem cell-like properties but distinct molecular profiles and growth characteristics in vitro and in vivo."}
{"STANDARD_NAME":"DAVIES_MULTIPLE_MYELOMA_VS_MGUS_UP","SYSTEMATIC_NAME":"M13055","ORGANISM":"Homo sapiens","PMID":"12947006","AUTHORS":"Davies FE,Dring AM,Li C,Rawstron AC,Shammas MA,O'Connor SM,Fenton JA,Hideshima T,Chauhan D,Tai IT,Robinson E,Auclair D,Rees K,Gonzalez D,Ashcroft AJ,Dasgupta R,Mitsiades C,Mitsiades N,Chen LB,Wong WH,Munshi NC,Morgan GJ,Anderson KC","EXACT_SOURCE":"Table 2: Fold change > 0","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in multiple myeloma (MM) compared to monoclonal gammopathy of uncertain significance (MGUS).","DESCRIPTION_FULL":"To define specific pathways important in the multistep transformation process of normal plasma cells (PCs) to monoclonal gammopathy of uncertain significance (MGUS) and multiple myeloma (MM), we have applied microarray analysis to PCs from 5 healthy donors (N), 7 patients with MGUS, and 24 patients with newly diagnosed MM. Unsupervised hierarchical clustering using 125 genes with a large variation across all samples defined 2 groups: N and MGUS/MM. Supervised analysis identified 263 genes differentially expressed between N and MGUS and 380 genes differentially expressed between N and MM, 197 of which were also differentially regulated between N and MGUS. Only 74 genes were differentially expressed between MGUS and MM samples, indicating that the differences between MGUS and MM are smaller than those between N and MM or N and MGUS. Differentially expressed genes included oncogenes/tumor-suppressor genes (LAF4, RB1, and disabled homolog 2), cell-signaling genes (RAS family members, B-cell signaling and NF-kappaB genes), DNA-binding and transcription-factor genes (XBP1, zinc finger proteins, forkhead box, and ring finger proteins), and developmental genes (WNT and SHH pathways). Understanding the molecular pathogenesis of MM by gene expression profiling has demonstrated sequential genetic changes from N to malignant PCs and highlighted important pathways involved in the transformation of MGUS to MM."}
{"STANDARD_NAME":"DAVIES_MULTIPLE_MYELOMA_VS_MGUS_DN","SYSTEMATIC_NAME":"M10219","ORGANISM":"Homo sapiens","PMID":"12947006","AUTHORS":"Davies FE,Dring AM,Li C,Rawstron AC,Shammas MA,O'Connor SM,Fenton JA,Hideshima T,Chauhan D,Tai IT,Robinson E,Auclair D,Rees K,Gonzalez D,Ashcroft AJ,Dasgupta R,Mitsiades C,Mitsiades N,Chen LB,Wong WH,Munshi NC,Morgan GJ,Anderson KC","EXACT_SOURCE":"Table 2: Fold change < 0","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in multiple myeloma (MM) compared to monoclonal gammopathy of uncertain significance (MGUS).","DESCRIPTION_FULL":"To define specific pathways important in the multistep transformation process of normal plasma cells (PCs) to monoclonal gammopathy of uncertain significance (MGUS) and multiple myeloma (MM), we have applied microarray analysis to PCs from 5 healthy donors (N), 7 patients with MGUS, and 24 patients with newly diagnosed MM. Unsupervised hierarchical clustering using 125 genes with a large variation across all samples defined 2 groups: N and MGUS/MM. Supervised analysis identified 263 genes differentially expressed between N and MGUS and 380 genes differentially expressed between N and MM, 197 of which were also differentially regulated between N and MGUS. Only 74 genes were differentially expressed between MGUS and MM samples, indicating that the differences between MGUS and MM are smaller than those between N and MM or N and MGUS. Differentially expressed genes included oncogenes/tumor-suppressor genes (LAF4, RB1, and disabled homolog 2), cell-signaling genes (RAS family members, B-cell signaling and NF-kappaB genes), DNA-binding and transcription-factor genes (XBP1, zinc finger proteins, forkhead box, and ring finger proteins), and developmental genes (WNT and SHH pathways). Understanding the molecular pathogenesis of MM by gene expression profiling has demonstrated sequential genetic changes from N to malignant PCs and highlighted important pathways involved in the transformation of MGUS to MM."}
{"STANDARD_NAME":"BOYLAN_MULTIPLE_MYELOMA_C_CLUSTER_UP","SYSTEMATIC_NAME":"M1367","ORGANISM":"Mus musculus","PMID":"17483317","AUTHORS":"Boylan KL,Gosse MA,Staggs SE,Janz S,Grindle S,Kansas GS,Van Ness BG","EXACT_SOURCE":"Fig 1S: cluster 1","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes from cluster 1: up-regulated in group C of tumors arising from overexpression of BCL2L1 and MYC [GeneID=598;4609] in plasma cells.","DESCRIPTION_FULL":"Multiple myeloma is an incurable plasma cell malignancy for which existing animal models are limited. We have previously shown that the targeted expression of the transgenes c-Myc and Bcl-X(L) in murine plasma cells produces malignancy that displays features of human myeloma, such as localization of tumor cells to the bone marrow and lytic bone lesions. We have isolated and characterized in vitro cultures and adoptive transfers of tumors from Bcl-xl/Myc transgenic mice. Tumors have a plasmablastic morphology and variable expression of CD138, CD45, CD38, and CD19. Spectral karyotyping analysis of metaphase chromosomes from primary tumor cell cultures shows that the Bcl-xl/Myc tumors contain a variety of chromosomal abnormalities, including trisomies, translocations, and deletions. The most frequently aberrant chromosomes are 12 and 16. Three sites for recurring translocations were also identified on chromosomes 4D, 12F, and 16C. Gene expression profiling was used to identify differences in gene expression between tumor cells and normal plasma cells (NPC) and to cluster the tumors into two groups (tumor groups C and D), with distinct gene expression profiles. Four hundred and ninety-five genes were significantly different between both tumor groups and NPCs, whereas 124 genes were uniquely different from NPCs in tumor group C and 204 genes were uniquely different from NPCs in tumor group D. Similar to human myeloma, the cyclin D genes are differentially dysregulated in the mouse tumor groups. These data suggest the Bcl-xl/Myc tumors are similar to a subset of plasmablastic human myelomas and provide insight into the specific genes and pathways underlying the human disease."}
{"STANDARD_NAME":"BOYLAN_MULTIPLE_MYELOMA_C_CLUSTER_DN","SYSTEMATIC_NAME":"M17990","ORGANISM":"Mus musculus","PMID":"17483317","AUTHORS":"Boylan KL,Gosse MA,Staggs SE,Janz S,Grindle S,Kansas GS,Van Ness BG","EXACT_SOURCE":"Fig 1S: cluster 2","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes from cluster 2: down-regulated in group C of tumors arising from overexpression of BCL2L1 and MYC [GeneID=598;4609] in plasma cells.","DESCRIPTION_FULL":"Multiple myeloma is an incurable plasma cell malignancy for which existing animal models are limited. We have previously shown that the targeted expression of the transgenes c-Myc and Bcl-X(L) in murine plasma cells produces malignancy that displays features of human myeloma, such as localization of tumor cells to the bone marrow and lytic bone lesions. We have isolated and characterized in vitro cultures and adoptive transfers of tumors from Bcl-xl/Myc transgenic mice. Tumors have a plasmablastic morphology and variable expression of CD138, CD45, CD38, and CD19. Spectral karyotyping analysis of metaphase chromosomes from primary tumor cell cultures shows that the Bcl-xl/Myc tumors contain a variety of chromosomal abnormalities, including trisomies, translocations, and deletions. The most frequently aberrant chromosomes are 12 and 16. Three sites for recurring translocations were also identified on chromosomes 4D, 12F, and 16C. Gene expression profiling was used to identify differences in gene expression between tumor cells and normal plasma cells (NPC) and to cluster the tumors into two groups (tumor groups C and D), with distinct gene expression profiles. Four hundred and ninety-five genes were significantly different between both tumor groups and NPCs, whereas 124 genes were uniquely different from NPCs in tumor group C and 204 genes were uniquely different from NPCs in tumor group D. Similar to human myeloma, the cyclin D genes are differentially dysregulated in the mouse tumor groups. These data suggest the Bcl-xl/Myc tumors are similar to a subset of plasmablastic human myelomas and provide insight into the specific genes and pathways underlying the human disease."}
{"STANDARD_NAME":"BOYLAN_MULTIPLE_MYELOMA_D_CLUSTER_UP","SYSTEMATIC_NAME":"M2658","ORGANISM":"Mus musculus","PMID":"17483317","AUTHORS":"Boylan KL,Gosse MA,Staggs SE,Janz S,Grindle S,Kansas GS,Van Ness BG","EXACT_SOURCE":"Fig 1S: cluster 3","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes from cluster 3: up-regulated in group D of tumors arising from overexpression of BCL2L1 and MYC [GeneID=598;4609] in plasma cells.","DESCRIPTION_FULL":"Multiple myeloma is an incurable plasma cell malignancy for which existing animal models are limited. We have previously shown that the targeted expression of the transgenes c-Myc and Bcl-X(L) in murine plasma cells produces malignancy that displays features of human myeloma, such as localization of tumor cells to the bone marrow and lytic bone lesions. We have isolated and characterized in vitro cultures and adoptive transfers of tumors from Bcl-xl/Myc transgenic mice. Tumors have a plasmablastic morphology and variable expression of CD138, CD45, CD38, and CD19. Spectral karyotyping analysis of metaphase chromosomes from primary tumor cell cultures shows that the Bcl-xl/Myc tumors contain a variety of chromosomal abnormalities, including trisomies, translocations, and deletions. The most frequently aberrant chromosomes are 12 and 16. Three sites for recurring translocations were also identified on chromosomes 4D, 12F, and 16C. Gene expression profiling was used to identify differences in gene expression between tumor cells and normal plasma cells (NPC) and to cluster the tumors into two groups (tumor groups C and D), with distinct gene expression profiles. Four hundred and ninety-five genes were significantly different between both tumor groups and NPCs, whereas 124 genes were uniquely different from NPCs in tumor group C and 204 genes were uniquely different from NPCs in tumor group D. Similar to human myeloma, the cyclin D genes are differentially dysregulated in the mouse tumor groups. These data suggest the Bcl-xl/Myc tumors are similar to a subset of plasmablastic human myelomas and provide insight into the specific genes and pathways underlying the human disease."}
{"STANDARD_NAME":"BOYLAN_MULTIPLE_MYELOMA_D_CLUSTER_DN","SYSTEMATIC_NAME":"M12678","ORGANISM":"Mus musculus","PMID":"17483317","AUTHORS":"Boylan KL,Gosse MA,Staggs SE,Janz S,Grindle S,Kansas GS,Van Ness BG","EXACT_SOURCE":"Fig 1S: cluster 4","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes from cluster 4: down-regulated in group D of tumors arising from overexpression of BCL2L1 and MYC [GeneID=598;4609] in plasma cells.","DESCRIPTION_FULL":"Multiple myeloma is an incurable plasma cell malignancy for which existing animal models are limited. We have previously shown that the targeted expression of the transgenes c-Myc and Bcl-X(L) in murine plasma cells produces malignancy that displays features of human myeloma, such as localization of tumor cells to the bone marrow and lytic bone lesions. We have isolated and characterized in vitro cultures and adoptive transfers of tumors from Bcl-xl/Myc transgenic mice. Tumors have a plasmablastic morphology and variable expression of CD138, CD45, CD38, and CD19. Spectral karyotyping analysis of metaphase chromosomes from primary tumor cell cultures shows that the Bcl-xl/Myc tumors contain a variety of chromosomal abnormalities, including trisomies, translocations, and deletions. The most frequently aberrant chromosomes are 12 and 16. Three sites for recurring translocations were also identified on chromosomes 4D, 12F, and 16C. Gene expression profiling was used to identify differences in gene expression between tumor cells and normal plasma cells (NPC) and to cluster the tumors into two groups (tumor groups C and D), with distinct gene expression profiles. Four hundred and ninety-five genes were significantly different between both tumor groups and NPCs, whereas 124 genes were uniquely different from NPCs in tumor group C and 204 genes were uniquely different from NPCs in tumor group D. Similar to human myeloma, the cyclin D genes are differentially dysregulated in the mouse tumor groups. These data suggest the Bcl-xl/Myc tumors are similar to a subset of plasmablastic human myelomas and provide insight into the specific genes and pathways underlying the human disease."}
{"STANDARD_NAME":"BOYLAN_MULTIPLE_MYELOMA_D_UP","SYSTEMATIC_NAME":"M5863","ORGANISM":"Mus musculus","PMID":"17483317","AUTHORS":"Boylan KL,Gosse MA,Staggs SE,Janz S,Grindle S,Kansas GS,Van Ness BG","EXACT_SOURCE":"Table 5S: Tumor Group=D & Fold Change > 0","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in group D of tumors arising from overexpression of BCL2L1 and MYC [GeneID=598;4609] in plasma cells.","DESCRIPTION_FULL":"Multiple myeloma is an incurable plasma cell malignancy for which existing animal models are limited. We have previously shown that the targeted expression of the transgenes c-Myc and Bcl-X(L) in murine plasma cells produces malignancy that displays features of human myeloma, such as localization of tumor cells to the bone marrow and lytic bone lesions. We have isolated and characterized in vitro cultures and adoptive transfers of tumors from Bcl-xl/Myc transgenic mice. Tumors have a plasmablastic morphology and variable expression of CD138, CD45, CD38, and CD19. Spectral karyotyping analysis of metaphase chromosomes from primary tumor cell cultures shows that the Bcl-xl/Myc tumors contain a variety of chromosomal abnormalities, including trisomies, translocations, and deletions. The most frequently aberrant chromosomes are 12 and 16. Three sites for recurring translocations were also identified on chromosomes 4D, 12F, and 16C. Gene expression profiling was used to identify differences in gene expression between tumor cells and normal plasma cells (NPC) and to cluster the tumors into two groups (tumor groups C and D), with distinct gene expression profiles. Four hundred and ninety-five genes were significantly different between both tumor groups and NPCs, whereas 124 genes were uniquely different from NPCs in tumor group C and 204 genes were uniquely different from NPCs in tumor group D. Similar to human myeloma, the cyclin D genes are differentially dysregulated in the mouse tumor groups. These data suggest the Bcl-xl/Myc tumors are similar to a subset of plasmablastic human myelomas and provide insight into the specific genes and pathways underlying the human disease."}
{"STANDARD_NAME":"BOYLAN_MULTIPLE_MYELOMA_D_DN","SYSTEMATIC_NAME":"M11718","ORGANISM":"Mus musculus","PMID":"17483317","AUTHORS":"Boylan KL,Gosse MA,Staggs SE,Janz S,Grindle S,Kansas GS,Van Ness BG","EXACT_SOURCE":"Table 5S: Tumor Group=D & Fold Change < 0","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in group D of tumors arising from overexpression of BCL2L1 and MYC [GeneID=598;4609] in plasma cells.","DESCRIPTION_FULL":"Multiple myeloma is an incurable plasma cell malignancy for which existing animal models are limited. We have previously shown that the targeted expression of the transgenes c-Myc and Bcl-X(L) in murine plasma cells produces malignancy that displays features of human myeloma, such as localization of tumor cells to the bone marrow and lytic bone lesions. We have isolated and characterized in vitro cultures and adoptive transfers of tumors from Bcl-xl/Myc transgenic mice. Tumors have a plasmablastic morphology and variable expression of CD138, CD45, CD38, and CD19. Spectral karyotyping analysis of metaphase chromosomes from primary tumor cell cultures shows that the Bcl-xl/Myc tumors contain a variety of chromosomal abnormalities, including trisomies, translocations, and deletions. The most frequently aberrant chromosomes are 12 and 16. Three sites for recurring translocations were also identified on chromosomes 4D, 12F, and 16C. Gene expression profiling was used to identify differences in gene expression between tumor cells and normal plasma cells (NPC) and to cluster the tumors into two groups (tumor groups C and D), with distinct gene expression profiles. Four hundred and ninety-five genes were significantly different between both tumor groups and NPCs, whereas 124 genes were uniquely different from NPCs in tumor group C and 204 genes were uniquely different from NPCs in tumor group D. Similar to human myeloma, the cyclin D genes are differentially dysregulated in the mouse tumor groups. These data suggest the Bcl-xl/Myc tumors are similar to a subset of plasmablastic human myelomas and provide insight into the specific genes and pathways underlying the human disease."}
{"STANDARD_NAME":"BOYLAN_MULTIPLE_MYELOMA_C_D_UP","SYSTEMATIC_NAME":"M16927","ORGANISM":"Mus musculus","PMID":"17483317","AUTHORS":"Boylan KL,Gosse MA,Staggs SE,Janz S,Grindle S,Kansas GS,Van Ness BG","EXACT_SOURCE":"Table 5S: Tumor Group=C and D & Fold Change > 0","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated both in group C and D of tumors arising from overexpression of BCL2L1 and MYC [GeneID=598;4609] in plasma cells.","DESCRIPTION_FULL":"Multiple myeloma is an incurable plasma cell malignancy for which existing animal models are limited. We have previously shown that the targeted expression of the transgenes c-Myc and Bcl-X(L) in murine plasma cells produces malignancy that displays features of human myeloma, such as localization of tumor cells to the bone marrow and lytic bone lesions. We have isolated and characterized in vitro cultures and adoptive transfers of tumors from Bcl-xl/Myc transgenic mice. Tumors have a plasmablastic morphology and variable expression of CD138, CD45, CD38, and CD19. Spectral karyotyping analysis of metaphase chromosomes from primary tumor cell cultures shows that the Bcl-xl/Myc tumors contain a variety of chromosomal abnormalities, including trisomies, translocations, and deletions. The most frequently aberrant chromosomes are 12 and 16. Three sites for recurring translocations were also identified on chromosomes 4D, 12F, and 16C. Gene expression profiling was used to identify differences in gene expression between tumor cells and normal plasma cells (NPC) and to cluster the tumors into two groups (tumor groups C and D), with distinct gene expression profiles. Four hundred and ninety-five genes were significantly different between both tumor groups and NPCs, whereas 124 genes were uniquely different from NPCs in tumor group C and 204 genes were uniquely different from NPCs in tumor group D. Similar to human myeloma, the cyclin D genes are differentially dysregulated in the mouse tumor groups. These data suggest the Bcl-xl/Myc tumors are similar to a subset of plasmablastic human myelomas and provide insight into the specific genes and pathways underlying the human disease."}
{"STANDARD_NAME":"BOYLAN_MULTIPLE_MYELOMA_C_UP","SYSTEMATIC_NAME":"M847","ORGANISM":"Mus musculus","PMID":"17483317","AUTHORS":"Boylan KL,Gosse MA,Staggs SE,Janz S,Grindle S,Kansas GS,Van Ness BG","EXACT_SOURCE":"Table 5S: Tumor Group=C & Fold Change > 0","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in group C of tumors arising from overexpression of BCL2L1 and MYC [GeneID=598;4609] in plasma cells.","DESCRIPTION_FULL":"Multiple myeloma is an incurable plasma cell malignancy for which existing animal models are limited. We have previously shown that the targeted expression of the transgenes c-Myc and Bcl-X(L) in murine plasma cells produces malignancy that displays features of human myeloma, such as localization of tumor cells to the bone marrow and lytic bone lesions. We have isolated and characterized in vitro cultures and adoptive transfers of tumors from Bcl-xl/Myc transgenic mice. Tumors have a plasmablastic morphology and variable expression of CD138, CD45, CD38, and CD19. Spectral karyotyping analysis of metaphase chromosomes from primary tumor cell cultures shows that the Bcl-xl/Myc tumors contain a variety of chromosomal abnormalities, including trisomies, translocations, and deletions. The most frequently aberrant chromosomes are 12 and 16. Three sites for recurring translocations were also identified on chromosomes 4D, 12F, and 16C. Gene expression profiling was used to identify differences in gene expression between tumor cells and normal plasma cells (NPC) and to cluster the tumors into two groups (tumor groups C and D), with distinct gene expression profiles. Four hundred and ninety-five genes were significantly different between both tumor groups and NPCs, whereas 124 genes were uniquely different from NPCs in tumor group C and 204 genes were uniquely different from NPCs in tumor group D. Similar to human myeloma, the cyclin D genes are differentially dysregulated in the mouse tumor groups. These data suggest the Bcl-xl/Myc tumors are similar to a subset of plasmablastic human myelomas and provide insight into the specific genes and pathways underlying the human disease."}
{"STANDARD_NAME":"BOYLAN_MULTIPLE_MYELOMA_C_DN","SYSTEMATIC_NAME":"M7735","ORGANISM":"Mus musculus","PMID":"17483317","AUTHORS":"Boylan KL,Gosse MA,Staggs SE,Janz S,Grindle S,Kansas GS,Van Ness BG","EXACT_SOURCE":"Table 5S: Tumor Group=C & Fold Change < 0","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in group C of tumors arising from overexpression of BCL2L1 and MYC [GeneID=598;4609] in plasma cells.","DESCRIPTION_FULL":"Multiple myeloma is an incurable plasma cell malignancy for which existing animal models are limited. We have previously shown that the targeted expression of the transgenes c-Myc and Bcl-X(L) in murine plasma cells produces malignancy that displays features of human myeloma, such as localization of tumor cells to the bone marrow and lytic bone lesions. We have isolated and characterized in vitro cultures and adoptive transfers of tumors from Bcl-xl/Myc transgenic mice. Tumors have a plasmablastic morphology and variable expression of CD138, CD45, CD38, and CD19. Spectral karyotyping analysis of metaphase chromosomes from primary tumor cell cultures shows that the Bcl-xl/Myc tumors contain a variety of chromosomal abnormalities, including trisomies, translocations, and deletions. The most frequently aberrant chromosomes are 12 and 16. Three sites for recurring translocations were also identified on chromosomes 4D, 12F, and 16C. Gene expression profiling was used to identify differences in gene expression between tumor cells and normal plasma cells (NPC) and to cluster the tumors into two groups (tumor groups C and D), with distinct gene expression profiles. Four hundred and ninety-five genes were significantly different between both tumor groups and NPCs, whereas 124 genes were uniquely different from NPCs in tumor group C and 204 genes were uniquely different from NPCs in tumor group D. Similar to human myeloma, the cyclin D genes are differentially dysregulated in the mouse tumor groups. These data suggest the Bcl-xl/Myc tumors are similar to a subset of plasmablastic human myelomas and provide insight into the specific genes and pathways underlying the human disease."}
{"STANDARD_NAME":"WU_SILENCED_BY_METHYLATION_IN_BLADDER_CANCER","SYSTEMATIC_NAME":"M19766","ORGANISM":"Homo sapiens","PMID":"17456585","AUTHORS":"Wu G,Guo Z,Chang X,Kim MS,Nagpal JK,Liu J,Maki JM,Kivirikko KI,Ethier SP,Trink B,Sidransky D","EXACT_SOURCE":"Suppl. Data 2","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes silenced by DNA methylation in bladder cancer cell lines.","DESCRIPTION_FULL":"Promoter hypermethylation is one of the common mechanisms leading to gene silencing in various human cancers. Using a combination of pharmacologic unmasking and microarray techniques, we identified 59 candidate hypermethylated genes, including LOXL1, a lysyl oxidase-like gene, in human bladder cancer cells. We further showed that LOXL1 and LOXL4 are commonly silenced genes in human bladder cancer cells, and this silence is predominantly related to promoter methylation. We also found LOXL1 and LOXL4 gene methylation and loss of expression in primary bladder tumors. In addition, somatic mutations were identified in LOXL4, but not in LOXL1 in bladder cancer. Moreover, reintroduction of LOXL1 and LOXL4 genes into human bladder cancer cells leads to a decrease of colony formation ability. Further studies indicated that the overexpression of LOXL1 and LOXL4 could antagonize Ras in activating the extracellular signal-regulated kinase (ERK) signaling pathway. Thus, our current study suggests for the first time that lysyl oxidase-like genes can act as tumor suppressor genes and exert their functions through the inhibition of the Ras/ERK signaling pathway in human bladder cancer."}
{"STANDARD_NAME":"FERRARI_RESPONSE_TO_FENRETINIDE_DN","SYSTEMATIC_NAME":"M1585","ORGANISM":"Homo sapiens","PMID":"15958647","AUTHORS":"Ferrari N,Pfeffer U,Dell'Eva R,Ambrosini C,Noonan DM,Albini A","EXACT_SOURCE":"Table 1; fold change < 0.5","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in HUVEC cells (umbilical vein endothelium) by fenretinide [PubChem=1744].","DESCRIPTION_FULL":"PURPOSE: Tumor growth appears to be an angiogenesis-dependent process. N-(4-hydroxyphenyl)retinamide (fenretinide; 4HPR) has been found to inhibit and/or prevent tumor growth under diverse conditions. Although 4HPR is antiangiogenic, the molecular mechanisms of this effect remain largely unknown. EXPERIMENTAL DESIGN: Endothelial cells were treated with 4HPR in vitro to study the effects on migration, invasion, and organization, as well as gene expression by microarray and quantitative PCR studies. In vivo angiogenesis was evaluated in the Matrigel model. RESULTS: 4HPR treatment substantially modified the biological activities of endothelial cells, repressing their capacity to migrate, invade, and organize into capillary-like structures. The inhibition of invasion induced by 4HPR was also associated with decreased activities of the metalloproteases matrix metalloproteinase-2 and CD13/APN. Using oligonucleotide microarrays, we observed that bone morphogenetic protein-2 and macrophage inhibitory cytokine-1, two multifunctional cytokines of the transforming growth factor-beta family that regulate the growth, differentiation, apoptosis, and matrix accumulation of a variety of cells, are up-regulated in vitro by 4HPR. Both these molecules specifically inhibited endothelial cell growth, migration, and invasion in vitro and suppressed angiogenesis in the Matrigel plug assay in vivo. Blocking antibodies to bone morphogenetic protein-2 were able to reverse the suppressive effects of 4HPR in vitro and in vivo. CONCLUSIONS: These data support the conclusion that 4HPR inhibits tumor growth by repression of new vessel growth and identify novel points of regulation of angiogenesis in transforming growth factor-beta family proteins."}
{"STANDARD_NAME":"GU_PDEF_TARGETS_DN","SYSTEMATIC_NAME":"M10480","ORGANISM":"Homo sapiens","PMID":"17483333","AUTHORS":"Gu X,Zerbini LF,Otu HH,Bhasin M,Yang Q,Joseph MG,Grall F,Onatunde T,Correa RG,Libermann TA","GEOID":"GSE6576","EXACT_SOURCE":"Table 1S","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Integrin, VEGF, Wnt and TGFbeta signaling pathway genes down-regulated in PC-3 cells (prostate cancer) after knockdown of PDEF [GeneID=25803] by RNAi.","DESCRIPTION_FULL":"The epithelium-specific Ets transcription factor, PDEF, plays a role in prostate and breast cancer, although its precise function has not been established. In prostate cancer, PDEF is involved in regulating prostate-specific antigen expression via interaction with the androgen receptor and NKX3.1, and down-regulation of PDEF by antiproliferative agents has been associated with reduced PDEF expression. We now report that reduced expression of PDEF leads to a morphologic change, increased migration and invasiveness in prostate cancer cells, reminiscent of transforming growth factor beta (TGFbeta) function and epithelial-to-mesenchymal transition. Indeed, inhibition of PDEF expression triggers a transcriptional program of genes involved in the TGFbeta pathway, migration, invasion, adhesion, and epithelial dedifferentiation. Our results establish PDEF as a critical regulator of genes involved in cell motility, invasion, and adhesion of prostate cancer cells."}
{"STANDARD_NAME":"TOOKER_GEMCITABINE_RESISTANCE_UP","SYSTEMATIC_NAME":"M19654","ORGANISM":"Homo sapiens","PMID":"17483357","AUTHORS":"Tooker P,Yen WC,Ng SC,Negro-Vilar A,Hermann TW","GEOID":"GSE6914","EXACT_SOURCE":"Table 1S: GemR/Parental","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Up-regulated genes in Calu3 cells (non-small cell lung cancer, NSCLC) resistant to gemcitabine [PubChem=3461] which became down-regulated in response to bexarotene [PubChem=82146].","DESCRIPTION_FULL":"Acquired drug resistance is a major obstacle in cancer therapy. As for many other drugs, this is also the case for gemcitabine, a nucleoside analogue with activity against non-small cell lung cancer (NSCLC). Here, we evaluate the ability of bexarotene to modulate the acquisition and maintenance of gemcitabine resistance in Calu3 NSCLC models. In the prevention model, Calu3 cells treated repeatedly with gemcitabine alone gradually developed resistance. However, with inclusion of bexarotene, the cells remained chemosensitive. RNA analysis showed a strong increase of rrm1 (ribonucleotide reductase M1) expression in the resistant cells (Calu3-GemR), a gene known to be involved in gemcitabine resistance. In addition, the expression of genes surrounding the chromosomal location of rrm1 was increased, suggesting that resistance was due to gene amplification at the chr11 p15.5 locus. Analysis of genomic DNA confirmed that the rrm1 gene copy number was increased over 10-fold. Correspondingly, fluorescence in situ hybridization analysis of metaphase chromosomes showed an intrachromosomal amplification of the rrm1 locus. In the therapeutic model, bexarotene gradually resensitized Calu3-GemR cells to gemcitabine, reaching parental drug sensitivity after 10 treatment cycles. This was associated with a loss in rrm1 amplification. Corresponding with the in vitro data, xenograft tumors generated from the resistant cells did not respond to gemcitabine but were growth inhibited when bexarotene was added to the cytotoxic agent. The data indicate that bexarotene can resensitize gemcitabine-resistant tumor cells by reversing gene amplification. This suggests that bexarotene may have clinical utility in cancers where drug resistance by gene amplification is a major obstacle to successful therapy."}
{"STANDARD_NAME":"BOHN_PRIMARY_IMMUNODEFICIENCY_SYNDROM_DN","SYSTEMATIC_NAME":"M11778","ORGANISM":"Homo sapiens","PMID":"17195838","AUTHORS":"Bohn G,Allroth A,Brandes G,Thiel J,Glocker E,Schäffer AA,Rathinam C,Taub N,Teis D,Zeidler C,Dewey RA,Geffers R,Buer J,Huber LA,Welte K,Grimbacher B,Klein C","GEOID":"GSE6322","EXACT_SOURCE":"Table 3S: expression values < 1","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in B lymphocytes from patients with primary immunodefiency syndrom.","DESCRIPTION_FULL":"Lysosome-related organelles have versatile functions, including protein and lipid degradation, signal transduction and protein secretion. The molecular elucidation of rare congenital diseases affecting endosomal-lysosomal biogenesis has given insights into physiological functions of the innate and adaptive immune system. Here, we describe a previously unknown human primary immunodeficiency disorder and provide evidence that the endosomal adaptor protein p14, previously characterized as confining mitogen-activated protein kinase (MAPK) signaling to late endosomes, is crucial for the function of neutrophils, B cells, cytotoxic T cells and melanocytes. Combining genetic linkage studies and transcriptional profiling analysis, we identified a homozygous point mutation in the 3' untranslated region (UTR) of p14 (also known as MAPBPIP), resulting in decreased protein expression. In p14-deficient cells, the distribution of late endosomes was severely perturbed, suggesting a previously unknown role for p14 in endosomal biogenesis. These findings have implications for understanding endosomal membrane dynamics, compartmentalization of cell signal cascades, and their role in immunity."}
{"STANDARD_NAME":"FLOTHO_PEDIATRIC_ALL_THERAPY_RESPONSE_DN","SYSTEMATIC_NAME":"M4866","ORGANISM":"Homo sapiens","PMID":"16627760","AUTHORS":"Flotho C,Coustan-Smith E,Pei D,Iwamoto S,Song G,Cheng C,Pui CH,Downing JR,Campana D","EXACT_SOURCE":"Table 1: Genes underexpressed in MRD+","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated genes significantly associated with positive minimal residual disease (MRD) on day 46 after chemotherapy treatment of children with acute lymphoblastic leukemia (ALL).","DESCRIPTION_FULL":"In childhood acute lymphoblastic leukemia (ALL), early response to treatment is a powerful prognostic indicator. To identify genes associated with this response, we analyzed gene expression of diagnostic lymphoblasts from 189 children with ALL and compared the findings with minimal residual disease (MRD) levels on days 19 and 46 of remission induction treatment. After excluding genes associated with genetic subgroups, we identified 17 genes that were significantly associated with MRD. The caspase 8-associated protein 2 (CASP8AP2) gene was studied further because of its reported role in apoptosis and glucocorticoid signaling. In a separate cohort of 99 patients not included in the comparison of gene expression profiles and MRD, low levels of CASP8AP2 expression predicted a lower event-free survival (P = .02) and a higher rate of leukemia relapse (P = .01) and were an independent predictor of outcome. High levels of CASP8AP2 expression were associated with a greater propensity of leukemic lymphoblasts to undergo apoptosis. We conclude that measurement of CASP8AP2 expression at diagnosis offers a means to identify patients whose leukemic cells are highly susceptible to chemotherapy. Therefore, this gene is a strong candidate for inclusion in gene expression arrays specifically designed for leukemia diagnosis."}
{"STANDARD_NAME":"VILIMAS_NOTCH1_TARGETS_DN","SYSTEMATIC_NAME":"M1873","ORGANISM":"Mus musculus","PMID":"17173050","AUTHORS":"Vilimas T,Mascarenhas J,Palomero T,Mandal M,Buonamici S,Meng F,Thompson B,Spaulding C,Macaroun S,Alegre ML,Kee BL,Ferrando A,Miele L,Aifantis I","GEOID":"GSE6396","EXACT_SOURCE":"Fig 1a, 1BS, 1CS: down in either early or late","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow progenitors by constitutively active NOTCH1 [GeneID=4851].","DESCRIPTION_FULL":"T-cell acute lymphoblastic leukemia (T-ALL), unlike other ALL types, is only infrequently associated with chromosomal aberrations, but it was recently shown that most individuals with T-ALL carry activating mutations in the NOTCH1 gene. However, the signaling pathways and target genes responsible for Notch1-induced neoplastic transformation remain undefined. We report here that constitutively active Notch1 activates the NF-kappaB pathway transcriptionally and via the IkappaB kinase (IKK) complex, thereby causing increased expression of several well characterized target genes of NF-kappaB in bone marrow hematopoietic stem cells and progenitors. Our observations demonstrate that the NF-kappaB pathway is highly active in established human T-ALL and that inhibition of the pathway can efficiently restrict tumor growth both in vitro and in vivo. These findings identify NF-kappaB as one of the major mediators of Notch1-induced transformation and suggest that the NF-kappaB pathway is a potential target of future therapies of T-ALL."}
{"STANDARD_NAME":"SPIRA_SMOKERS_LUNG_CANCER_UP","SYSTEMATIC_NAME":"M7880","ORGANISM":"Homo sapiens","PMID":"17334370","AUTHORS":"Spira A,Beane JE,Shah V,Steiling K,Liu G,Schembri F,Gilman S,Dumas YM,Calner P,Sebastiani P,Sridhar S,Beamis J,Lamb C,Anderson T,Gerry N,Keane J,Lenburg ME,Brody JS","GEOID":"GSE4115","EXACT_SOURCE":"Fig. 2","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Up-regulated genes that distinguished smokers with and without lung cancer.","DESCRIPTION_FULL":"Lung cancer is the leading cause of death from cancer in the US and the world. The high mortality rate (80-85% within 5 years) results, in part, from a lack of effective tools to diagnose the disease at an early stage. Given that cigarette smoke creates a field of injury throughout the airway, we sought to determine if gene expression in histologically normal large-airway epithelial cells obtained at bronchoscopy from smokers with suspicion of lung cancer could be used as a lung cancer biomarker. Using a training set (n = 77) and gene-expression profiles from Affymetrix HG-U133A microarrays, we identified an 80-gene biomarker that distinguishes smokers with and without lung cancer. We tested the biomarker on an independent test set (n = 52), with an accuracy of 83% (80% sensitive, 84% specific), and on an additional validation set independently obtained from five medical centers (n = 35). Our biomarker had approximately 90% sensitivity for stage 1 cancer across all subjects. Combining cytopathology of lower airway cells obtained at bronchoscopy with the biomarker yielded 95% sensitivity and a 95% negative predictive value. These findings indicate that gene expression in cytologically normal large-airway epithelial cells can serve as a lung cancer biomarker, potentially owing to a cancer-specific airway-wide response to cigarette smoke."}
{"STANDARD_NAME":"SPIRA_SMOKERS_LUNG_CANCER_DN","SYSTEMATIC_NAME":"M6515","ORGANISM":"Homo sapiens","PMID":"17334370","AUTHORS":"Spira A,Beane JE,Shah V,Steiling K,Liu G,Schembri F,Gilman S,Dumas YM,Calner P,Sebastiani P,Sridhar S,Beamis J,Lamb C,Anderson T,Gerry N,Keane J,Lenburg ME,Brody JS","GEOID":"GSE4115","EXACT_SOURCE":"Fig. 2","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated genes that distinguished smokers with and without lung cancer.","DESCRIPTION_FULL":"Lung cancer is the leading cause of death from cancer in the US and the world. The high mortality rate (80-85% within 5 years) results, in part, from a lack of effective tools to diagnose the disease at an early stage. Given that cigarette smoke creates a field of injury throughout the airway, we sought to determine if gene expression in histologically normal large-airway epithelial cells obtained at bronchoscopy from smokers with suspicion of lung cancer could be used as a lung cancer biomarker. Using a training set (n = 77) and gene-expression profiles from Affymetrix HG-U133A microarrays, we identified an 80-gene biomarker that distinguishes smokers with and without lung cancer. We tested the biomarker on an independent test set (n = 52), with an accuracy of 83% (80% sensitive, 84% specific), and on an additional validation set independently obtained from five medical centers (n = 35). Our biomarker had approximately 90% sensitivity for stage 1 cancer across all subjects. Combining cytopathology of lower airway cells obtained at bronchoscopy with the biomarker yielded 95% sensitivity and a 95% negative predictive value. These findings indicate that gene expression in cytologically normal large-airway epithelial cells can serve as a lung cancer biomarker, potentially owing to a cancer-specific airway-wide response to cigarette smoke."}
{"STANDARD_NAME":"LUDWICZEK_TREATING_IRON_OVERLOAD","SYSTEMATIC_NAME":"M1874","ORGANISM":"Mus musculus","PMID":"17293870","AUTHORS":"Ludwiczek S,Theurl I,Muckenthaler MU,Jakab M,Mair SM,Theurl M,Kiss J,Paulmichl M,Hentze MW,Ritter M,Weiss G","EXACT_SOURCE":"Table 1","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes changed in liver in response to nifedipine [PubChem=4485] treatment of iron overload.","DESCRIPTION_FULL":"Hereditary hemochromatosis and transfusional iron overload are frequent clinical conditions associated with progressive iron accumulation in parenchymal tissues, leading to eventual organ failure. We have discovered a new mechanism to reverse iron overload-pharmacological modulation of the divalent metal transporter-1 (DMT-1). DMT-1 mediates intracellular iron transport during the transferrin cycle and apical iron absorption in the duodenum. Its additional functions in iron handling in the kidney and liver are less well understood. We show that the L-type calcium channel blocker nifedipine increases DMT-1-mediated cellular iron transport 10- to 100-fold at concentrations between 1 and 100 microM. Mechanistically, nifedipine causes this effect by prolonging the iron-transporting activity of DMT-1. We show that nifedipine mobilizes iron from the liver of mice with primary and secondary iron overload and enhances urinary iron excretion. Modulation of DMT-1 function by L-type calcium channel blockers emerges as a new pharmacological therapy for the treatment of iron overload disorders."}
{"STANDARD_NAME":"WAGNER_APO2_SENSITIVITY","SYSTEMATIC_NAME":"M13240","ORGANISM":"Homo sapiens","PMID":"17767167","AUTHORS":"Wagner KW,Punnoose EA,Januario T,Lawrence DA,Pitti RM,Lancaster K,Lee D,von Goetz M,Yee SF,Totpal K,Huw L,Katta V,Cavet G,Hymowitz SG,Amler L,Ashkenazi A","GEOID":"GSE8332","EXACT_SOURCE":"Table 1aS, 1bS","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes whose expression most significantly correlated with cancer cell line sensitivity to the proapoptotic ligand APO2 [GeneID=8797].","DESCRIPTION_FULL":"Apo2L/TRAIL stimulates cancer cell death through the proapoptotic receptors DR4 and DR5, but the determinants of tumor susceptibility to this ligand are not fully defined. mRNA expression of the peptidyl O-glycosyltransferase GALNT14 correlated with Apo2L/TRAIL sensitivity in pancreatic carcinoma, non-small-cell lung carcinoma and melanoma cell lines, and up to 30% of samples from various human malignancies showed GALNT14 overexpression. RNA interference of GALNT14 reduced cellular Apo2L/TRAIL sensitivity, whereas overexpression increased responsiveness. Biochemical analysis of DR5 identified several ectodomain O-(N-acetyl galactosamine-galactose-sialic acid) structures. Sequence comparison predicted conserved extracellular DR4 and DR5 O-glycosylation sites; progressive mutation of the DR5 sites attenuated apoptotic signaling. O-glycosylation promoted ligand-stimulated clustering of DR4 and DR5, which mediated recruitment and activation of the apoptosis-initiating protease caspase-8. These results uncover a new link between death-receptor O-glycosylation and apoptotic signaling, providing potential predictive biomarkers for Apo2L/TRAIL-based cancer therapy."}
{"STANDARD_NAME":"PALOMERO_GSI_SENSITIVITY_DN","SYSTEMATIC_NAME":"M14865","ORGANISM":"Homo sapiens","PMID":"17873882","AUTHORS":"Palomero T,Sulis ML,Cortina M,Real PJ,Barnes K,Ciofani M,Caparros E,Buteau J,Brown K,Perkins SL,Bhagat G,Agarwal AM,Basso G,Castillo M,Nagase S,Cordon-Cardo C,Parsons R,Zúñiga-Pflücker JC,Dominguez M,Ferrando AA","GEOID":"GSE5682","EXACT_SOURCE":"Fig. 1a: down in sensitive & up in resistant","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated genes associated with sensitivity and resistance to gamma-secretase (GSI) in T-cell acute lymphoblastic leukemia (T-ALL) cell lines.","DESCRIPTION_FULL":"Gain-of-function mutations in NOTCH1 are common in T-cell lymphoblastic leukemias and lymphomas (T-ALL), making this receptor a promising target for drugs such as gamma-secretase inhibitors, which block a proteolytic cleavage required for NOTCH1 activation. However, the enthusiasm for these therapies has been tempered by tumor resistance and the paucity of information on the oncogenic programs regulated by oncogenic NOTCH1. Here we show that NOTCH1 regulates the expression of PTEN (encoding phosphatase and tensin homolog) and the activity of the phosphoinositol-3 kinase (PI3K)-AKT signaling pathway in normal and leukemic T cells. Notch signaling and the PI3K-AKT pathway synergize in vivo in a Drosophila melanogaster model of Notch-induced tumorigenesis, and mutational loss of PTEN is associated with human T-ALL resistance to pharmacological inhibition of NOTCH1. Overall, these findings identify transcriptional control of PTEN and regulation of the PI3K-AKT pathway as key elements of the leukemogenic program activated by NOTCH1 and provide the basis for the design of new therapeutic strategies for T-ALL."}
{"STANDARD_NAME":"SEKI_INFLAMMATORY_RESPONSE_LPS_DN","SYSTEMATIC_NAME":"M1980","ORGANISM":"Mus musculus","PMID":"17952090","AUTHORS":"Seki E,De Minicis S,Osterreicher CH,Kluwe J,Osawa Y,Brenner DA,Schwabe RF","EXACT_SOURCE":"Table 1S: Fold change < 0.5","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in hepatic stellar cells after stimulation with bacterial lipopolysacharide (LPS).","DESCRIPTION_FULL":"Hepatic injury is associated with a defective intestinal barrier and increased hepatic exposure to bacterial products. Here we report that the intestinal bacterial microflora and a functional Toll-like receptor 4 (TLR4), but not TLR2, are required for hepatic fibrogenesis. Using Tlr4-chimeric mice and in vivo lipopolysaccharide (LPS) challenge, we demonstrate that quiescent hepatic stellate cells (HSCs), the main precursors for myofibroblasts in the liver, are the predominant target through which TLR4 ligands promote fibrogenesis. In quiescent HSCs, TLR4 activation not only upregulates chemokine secretion and induces chemotaxis of Kupffer cells, but also downregulates the transforming growth factor (TGF)-beta pseudoreceptor Bambi to sensitize HSCs to TGF-beta-induced signals and allow for unrestricted activation by Kupffer cells. LPS-induced Bambi downregulation and sensitization to TGF-beta is mediated by a MyD88-NF-kappaB-dependent pathway. Accordingly, Myd88-deficient mice have decreased hepatic fibrosis. Thus, modulation of TGF-beta signaling by a TLR4-MyD88-NF-kappaB axis provides a novel link between proinflammatory and profibrogenic signals."}
{"STANDARD_NAME":"PIONTEK_PKD1_TARGETS_UP","SYSTEMATIC_NAME":"M1879","ORGANISM":"Mus musculus","PMID":"17965720","AUTHORS":"Piontek K,Menezes LF,Garcia-Gonzalez MA,Huso DL,Germino GG","GEOID":"GSE9167","EXACT_SOURCE":"Table 3S","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated during later stages of renal maturation (days P14-P16) in kidney specific knockout of PKD1 [GeneID=5310].","DESCRIPTION_FULL":"Autosomal dominant polycystic kidney disease is an important cause of end-stage renal disease, for which there is no proven therapy. Mutations in PKD1 (the gene encoding polycystin-1) are the principal cause of this disease. The disease begins in utero and is slowly progressive, but it is not known whether cystogenesis is an ongoing process during adult life. We now show that inactivation of Pkd1 in mice before postnatal day 13 results in severely cystic kidneys within 3 weeks, whereas inactivation at day 14 and later results in cysts only after 5 months. We found that cellular proliferation was not appreciably higher in cystic specimens than in age-matched controls, but the abrupt change in response to Pkd1 inactivation corresponded to a previously unrecognized brake point during renal growth and significant changes in gene expression. These findings suggest that the effects of Pkd1 inactivation are defined by a developmental switch that signals the end of the terminal renal maturation process. Our studies show that Pkd1 regulates tubular morphology in both developing and adult kidney, but the pathologic consequences of inactivation are defined by the organ's developmental status. These results have important implications for clinical understanding of the disease and therapeutic approaches."}
{"STANDARD_NAME":"CHAUHAN_RESPONSE_TO_METHOXYESTRADIOL_UP","SYSTEMATIC_NAME":"M6562","ORGANISM":"Homo sapiens","PMID":"12480690","AUTHORS":"Chauhan D,Li G,Auclair D,Hideshima T,Richardson P,Podar K,Mitsiades N,Mitsiades C,Li C,Kim RS,Munshi N,Chen LB,Wong W,Anderson KC","EXACT_SOURCE":"Suppl. file: 2me2 compare result, up","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated by 2-methoxyestradiol (2ME2) [PubChem=1573] in the MM.1S cell line (multiple myeloma) sensitive to dexamethasone [PubChem=5743].","DESCRIPTION_FULL":"Our previous study demonstrated that 2-methoxyestradiol (2ME2), an estrogen derivative, induces apoptosis in multiple myeloma (MM) cells; however, the related transcriptional events are unclear. In the present study, we used oligonucleotide microarrays to identify genes altered during 2ME2-induced apoptosis in MM cells. 2ME2 triggers an early transient induction of genes known to trigger cell death and repression of growth/survival-related genes. Many genes regulating cell defense/repair machinery also were transiently induced. Since 2ME2 also induces apoptosis in MM cells resistant to conventional therapies such as dexamethasone (Dex), we compared the gene profiles of 2ME2-treated and Dex-resistant MM cells. Our results suggest that 2ME2 overcomes Dex resistance by modulating genes that confer chemoresistance in MM cells. Microarray results were confirmed by Northern and Western blot analyses. A comparative analysis of selected genes from freshly isolated MM patient cells and 2ME2-treated MM.1S MM cells further provides an in vivo relevance of our in vitro studies. Collectively, these findings suggest genetic events mediating anti-MM activity of 2ME2, as well as mechanisms whereby 2ME2 overcomes Dex resistance in MM cells. These studies may therefore allow improved therapeutic use of 2ME2, based upon targeting genes that regulate MM cell growth and survival."}
{"STANDARD_NAME":"CHAUHAN_RESPONSE_TO_METHOXYESTRADIOL_DN","SYSTEMATIC_NAME":"M17723","ORGANISM":"Homo sapiens","PMID":"12480690","AUTHORS":"Chauhan D,Li G,Auclair D,Hideshima T,Richardson P,Podar K,Mitsiades N,Mitsiades C,Li C,Kim RS,Munshi N,Chen LB,Wong W,Anderson KC","EXACT_SOURCE":"Suppl. file: 2me2 compare result, dn","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated by 2-methoxyestradiol (2ME2) [PubChem=1573] in the MM.1S cell line (multiple myeloma) sensitive to dexamethasone [PubChem=5743].","DESCRIPTION_FULL":"Our previous study demonstrated that 2-methoxyestradiol (2ME2), an estrogen derivative, induces apoptosis in multiple myeloma (MM) cells; however, the related transcriptional events are unclear. In the present study, we used oligonucleotide microarrays to identify genes altered during 2ME2-induced apoptosis in MM cells. 2ME2 triggers an early transient induction of genes known to trigger cell death and repression of growth/survival-related genes. Many genes regulating cell defense/repair machinery also were transiently induced. Since 2ME2 also induces apoptosis in MM cells resistant to conventional therapies such as dexamethasone (Dex), we compared the gene profiles of 2ME2-treated and Dex-resistant MM cells. Our results suggest that 2ME2 overcomes Dex resistance by modulating genes that confer chemoresistance in MM cells. Microarray results were confirmed by Northern and Western blot analyses. A comparative analysis of selected genes from freshly isolated MM patient cells and 2ME2-treated MM.1S MM cells further provides an in vivo relevance of our in vitro studies. Collectively, these findings suggest genetic events mediating anti-MM activity of 2ME2, as well as mechanisms whereby 2ME2 overcomes Dex resistance in MM cells. These studies may therefore allow improved therapeutic use of 2ME2, based upon targeting genes that regulate MM cell growth and survival."}
{"STANDARD_NAME":"LINDSTEDT_DENDRITIC_CELL_MATURATION_C","SYSTEMATIC_NAME":"M9210","ORGANISM":"Homo sapiens","PMID":"12356685","AUTHORS":"Lindstedt M,Johansson-Lindbom B,Borrebaeck CA","EXACT_SOURCE":"Table 3","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Maturation of monocyte-derived dendritic cells (DC) in response to inflammatory stimuli: genes up-regulated only at 48 hr after the stimulation (cluster C).","DESCRIPTION_FULL":"Maturation of dendritic cells (DC) serves a deterministic role in the link between innate and adaptive immunity, constituting a checkpoint with regard to whether responses from the lymphocyte compartment shall be raised and what class of response is needed to protect the host against invading pathogens. Since DC have not been shown to possess mechanisms such as gene recombination or somatic mutation for generating a diverse repertoire of antigen-recognition receptors, it is unlikely that these leukocytes can intrinsically respond to all conceivable molecules present in our environment. In the present study, we have therefore determined how mediators of the inflammatory response regulate global gene transcription in DC. The data represent an extensive and time-ordered reprogramming of the DC during their course of maturation, involving genes encoding proteins that regulate responses of both innate cells and lymphocytes. This transcriptional reorganization may reflect the effect of in vivo released inflammatory mediators induced by endogenous or pathogenic stimulation."}
{"STANDARD_NAME":"LINDSTEDT_DENDRITIC_CELL_MATURATION_D","SYSTEMATIC_NAME":"M3848","ORGANISM":"Homo sapiens","PMID":"12356685","AUTHORS":"Lindstedt M,Johansson-Lindbom B,Borrebaeck CA","EXACT_SOURCE":"Table 4","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated during the course of maturation of monocyte-derived dendritic cells (DC) in response to inflammatory stimuli (cluster D).","DESCRIPTION_FULL":"Maturation of dendritic cells (DC) serves a deterministic role in the link between innate and adaptive immunity, constituting a checkpoint with regard to whether responses from the lymphocyte compartment shall be raised and what class of response is needed to protect the host against invading pathogens. Since DC have not been shown to possess mechanisms such as gene recombination or somatic mutation for generating a diverse repertoire of antigen-recognition receptors, it is unlikely that these leukocytes can intrinsically respond to all conceivable molecules present in our environment. In the present study, we have therefore determined how mediators of the inflammatory response regulate global gene transcription in DC. The data represent an extensive and time-ordered reprogramming of the DC during their course of maturation, involving genes encoding proteins that regulate responses of both innate cells and lymphocytes. This transcriptional reorganization may reflect the effect of in vivo released inflammatory mediators induced by endogenous or pathogenic stimulation."}
{"STANDARD_NAME":"MARSHALL_VIRAL_INFECTION_RESPONSE_UP","SYSTEMATIC_NAME":"M1881","ORGANISM":"Mus musculus","PMID":"15831586","AUTHORS":"Marshall DR,Olivas E,Andreansky S,La Gruta NL,Neale GA,Gutierrez A,Wichlan DG,Wingo S,Cheng C,Doherty PC,Turner SJ","EXACT_SOURCE":"Table 1","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in the influenza-specific CD8+ [GeneID=925] T lymphocytes from bronchoalveolar lavage (BAL) compared to those from spleen.","DESCRIPTION_FULL":"The restriction of influenza A virus replication to mouse respiratory epithelium means that this host response is anatomically compartmentalized, on the one hand, to sites of T cell stimulation and proliferation in the secondary lymphoid tissue and, on the other hand, to the site of effector T cell function and pathology in the pneumonic lung. Thus, it is hardly surprising that virus-specific CD8(+) T cells recovered by bronchoalveolar lavage (BAL) from the infected respiratory tract seem more activated in terms of both cytolytic activity and cytokine production than those cells isolated from the spleen. The present analysis uses Affymetrix microarray technology to compare profiles of gene expression in these two lineage-related, yet anatomically separate, lymphocyte populations. Ninety differentially expressed genes were identified for influenza-specific CD8(+)D(b)NP(366)(+) T cells obtained directly ex vivo by BAL or spleen disruption, with nine genes being further analyzed by quantitative, real-time PCR at the population level. Integrin alphaE, for example, was shown by Affymetrix and real-time mRNA analyses and then by single-cell PCR and protein staining to be present at a much higher prevalence on the BAL CD8(+)D(b)NP(366)(+) set. The unpredicted finding, however, was that mRNA expression for 75% of the 90 genes was lower in T cells from the BAL than from the spleen. Apparently, the localization of virus-specific CD8(+) T cells to the site of virus-induced pathology is associated with a narrowing, or focusing, of gene expression that favors enhanced effector function in the damaged, high-antigen load environment of the pneumonic lung."}
{"STANDARD_NAME":"MARSHALL_VIRAL_INFECTION_RESPONSE_DN","SYSTEMATIC_NAME":"M1882","ORGANISM":"Mus musculus","PMID":"15831586","AUTHORS":"Marshall DR,Olivas E,Andreansky S,La Gruta NL,Neale GA,Gutierrez A,Wichlan DG,Wingo S,Cheng C,Doherty PC,Turner SJ","EXACT_SOURCE":"Table 1","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in the influenza-specific CD8+ [GeneID=925] T lymphocytes from bronchoalveolar lavage (BAL) compared to those from spleen.","DESCRIPTION_FULL":"The restriction of influenza A virus replication to mouse respiratory epithelium means that this host response is anatomically compartmentalized, on the one hand, to sites of T cell stimulation and proliferation in the secondary lymphoid tissue and, on the other hand, to the site of effector T cell function and pathology in the pneumonic lung. Thus, it is hardly surprising that virus-specific CD8(+) T cells recovered by bronchoalveolar lavage (BAL) from the infected respiratory tract seem more activated in terms of both cytolytic activity and cytokine production than those cells isolated from the spleen. The present analysis uses Affymetrix microarray technology to compare profiles of gene expression in these two lineage-related, yet anatomically separate, lymphocyte populations. Ninety differentially expressed genes were identified for influenza-specific CD8(+)D(b)NP(366)(+) T cells obtained directly ex vivo by BAL or spleen disruption, with nine genes being further analyzed by quantitative, real-time PCR at the population level. Integrin alphaE, for example, was shown by Affymetrix and real-time mRNA analyses and then by single-cell PCR and protein staining to be present at a much higher prevalence on the BAL CD8(+)D(b)NP(366)(+) set. The unpredicted finding, however, was that mRNA expression for 75% of the 90 genes was lower in T cells from the BAL than from the spleen. Apparently, the localization of virus-specific CD8(+) T cells to the site of virus-induced pathology is associated with a narrowing, or focusing, of gene expression that favors enhanced effector function in the damaged, high-antigen load environment of the pneumonic lung."}
{"STANDARD_NAME":"MARTINELLI_IMMATURE_NEUTROPHIL_UP","SYSTEMATIC_NAME":"M14418","ORGANISM":"Homo sapiens","PMID":"15302890","AUTHORS":"Martinelli S,Urosevic M,Daryadel A,Oberholzer PA,Baumann C,Fey MF,Dummer R,Simon HU,Yousefi S","EXACT_SOURCE":"Table 4: Immature neutrophils","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neutrophil-specific genes up-regulated in comparison of immature with mature neutrophils.","DESCRIPTION_FULL":"Interferons (IFNs) are cytokines that possess potent anti-viral and immunoregulatory activities. In contrast, their potential role(s) in anti-bacterial defense and neutrophil activation mechanisms is less well explored. By comparing gene expression patterns between immature and mature human neutrophils, we obtained evidence that intracellular proteases and other anti-bacterial proteins are produced at earlier stages of maturation, whereas the genes for receptors and signaling molecules required for the release of these effector molecules are preferentially induced during terminal differentiation. For instance, mature neutrophils strongly expressed genes that increase their responses to type I and type II IFNs. Interestingly, granulocyte/macrophage colony-stimulating factor was identified as a repressor of IFN signaling components and consequently of IFN-responsive genes. Both IFN-alpha and IFN-gamma induced strong tyrosine phosphorylation of STAT1 in mature but not in immature neutrophils. Functional in vitro studies suggested that IFNs act as priming factors on mature neutrophils, allowing the formation of extracellular traps upon subsequent stimulation with complement factor 5a (C5a). In contrast, both IFN-alpha and IFN-gamma had only little capacity to prime immature cells in this system. Moreover, both IFNs did not have significant anti-proliferative effects on immature neutrophils. These data contribute to our understanding regarding changes of gene expression during neutrophil differentiation and IFN-mediated anti-bacterial defense mechanisms."}
{"STANDARD_NAME":"NICK_RESPONSE_TO_PROC_TREATMENT_DN","SYSTEMATIC_NAME":"M8801","ORGANISM":"Homo sapiens","PMID":"15339848","AUTHORS":"Nick JA,Coldren CD,Geraci MW,Poch KR,Fouty BW,O'Brien J,Gruber M,Zarini S,Murphy RC,Kuhn K,Richter D,Kast KR,Abraham E","EXACT_SOURCE":"Table 1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in neutrophils upon treatment with activated protein C (PROC) [GeneID=5624] of pulmonary inflammation induced by bacterial lipopolysaccharide (LPS).","DESCRIPTION_FULL":"Recombinant human activated protein C (rhAPC) is a natural anticoagulant with potentially important anti-inflammatory properties. In humans with severe sepsis, rhAPC treatment reduces mortality, but mechanisms responsible have not been well characterized. Accumulation of activated neutrophils in the lungs and other organs during severe infection contributes to sepsis-induced organ dysfunction, including acute inflammatory lung injury. Because neutrophils express an APC receptor, we hypothesized that immunomodulatory effects of rhAPC occur, in part, via modulation of neutrophil responses. To examine this issue, we performed a double-blinded, placebo-controlled study of rhAPC in a human model of endotoxin-induced pulmonary inflammation. Administration of rhAPC significantly reduced leukocyte accumulation to the airspaces, independent of pulmonary cytokine or chemokine release. Neutrophils recovered from bronchoalveolar lavage fluid of volunteers receiving rhAPC demonstrated decreased chemotaxis ex vivo. Decreased neutrophil chemotaxis following exposure to rhAPC was confirmed in vitro. No differences were detected in gene expression, kinase activation, cytokine release, cell survival, or apoptosis of neutrophils recovered in the presence or absence of rhAPC. These studies demonstrate that rhAPC reduces both endotoxin-induced accumulation of leukocytes in the airspaces and neutrophil chemotaxis. These rhAPC-induced effects on neutrophil function may represent a mechanism by which rhAPC improves survival in patients with sepsis."}
{"STANDARD_NAME":"NUTT_GBM_VS_AO_GLIOMA_UP","SYSTEMATIC_NAME":"M6921","ORGANISM":"Homo sapiens","PMID":"12670911","AUTHORS":"Nutt CL,Mani DR,Betensky RA,Tamayo P,Cairncross JG,Ladd C,Pohl U,Hartmann C,McLaughlin ME,Batchelor TT,Black PM,von Deimling A,Pomeroy SL,Golub TR,Louis DN","EXACT_SOURCE":"Suppl. Data: High Grade Glioma Class Markers, GBM","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top 50 marker genes for glioblastoma multiforme (GBM), a class of high grade glioma.","DESCRIPTION_FULL":"In modern clinical neuro-oncology, histopathological diagnosis affects therapeutic decisions and prognostic estimation more than any other variable. Among high-grade gliomas, histologically classic glioblastomas and anaplastic oligodendrogliomas follow markedly different clinical courses. Unfortunately, many malignant gliomas are diagnostically challenging; these nonclassic lesions are difficult to classify by histological features, generating considerable interobserver variability and limited diagnostic reproducibility. The resulting tentative pathological diagnoses create significant clinical confusion. We investigated whether gene expression profiling, coupled with class prediction methodology, could be used to classify high-grade gliomas in a manner more objective, explicit, and consistent than standard pathology. Microarray analysis was used to determine the expression of approximately 12000 genes in a set of 50 gliomas, 28 glioblastomas and 22 anaplastic oligodendrogliomas. Supervised learning approaches were used to build a two-class prediction model based on a subset of 14 glioblastomas and 7 anaplastic oligodendrogliomas with classic histology. A 20-feature k-nearest neighbor model correctly classified 18 of the 21 classic cases in leave-one-out cross-validation when compared with pathological diagnoses. This model was then used to predict the classification of clinically common, histologically nonclassic samples. When tumors were classified according to pathology, the survival of patients with nonclassic glioblastoma and nonclassic anaplastic oligodendroglioma was not significantly different (P = 0.19). However, class distinctions according to the model were significantly associated with survival outcome (P = 0.05). This class prediction model was capable of classifying high-grade, nonclassic glial tumors objectively and reproducibly. Moreover, the model provided a more accurate predictor of prognosis in these nonclassic lesions than did pathological classification. These data suggest that class prediction models, based on defined molecular profiles, classify diagnostically challenging malignant gliomas in a manner that better correlates with clinical outcome than does standard pathology."}
{"STANDARD_NAME":"PARK_APL_PATHOGENESIS_UP","SYSTEMATIC_NAME":"M3993","ORGANISM":"Homo sapiens","PMID":"12893766","AUTHORS":"Park DJ,Vuong PT,de Vos S,Douer D,Koeffler HP","EXACT_SOURCE":"Table 1: Up-regulated gene","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in U937 cells (acute promyelocytic leukemia, APL) expressing RARA [GeneID=5914] fused with either PML or PLZF [GeneID=5371;7704].","DESCRIPTION_FULL":"Acute promyelocytic leukemia (APL) is associated with chromosomal translocations involving retinoic acid receptor alpha (RAR alpha) and its fusion partners including promyelocytic leukemia (PML) and promyelocytic leukemia zinc finger (PLZF). Using oligonucleotide arrays, we examined changes in global gene expression mediated by the ectopic expression of either PML/RAR alpha (retinoid-sensitive) or PLZF/RAR alpha (retinoid-resistant) in U937 cells. Of more than 5000 genes analyzed, 16 genes were commonly up-regulated, and 57 genes were down-regulated by both fusion proteins suggesting their role in the APL phenotype. In our APL model, for example, TNFAIP2, TNFR2, ELF4, RAR gamma, and HoxA1 were down-regulated by both fusion proteins in the absence of retinoic acid (RA). RA strongly up-regulated these genes in PML/RAR alpha, but not in PLZF/RAR alpha expressing U937 cells. Expression studies in NB4, retinoid-resistant NB4-R2, normal human CD34+ cells, and APL patient samples strongly suggest their role in the regulation of granulocytic differentiation. Furthermore, combined treatment with tumor necrosis factor alpha (TNF alpha) and RA synergistically enhanced granulocytic differentiation in NB4 cells but not in NB4-R2 cells. Our data indicate that APL pathogenesis and retinoid-induced granulocytic differentiation of APL cells involve genes in the cell death pathway, and that cooperation between the RA and TNFalpha signaling pathways exists. Targeting both the retinoid-dependent differentiation and the cell death pathways may improve leukemic therapy, especially in retinoid-resistant acute myeloid leukemia."}
{"STANDARD_NAME":"PARK_APL_PATHOGENESIS_DN","SYSTEMATIC_NAME":"M2541","ORGANISM":"Homo sapiens","PMID":"12893766","AUTHORS":"Park DJ,Vuong PT,de Vos S,Douer D,Koeffler HP","EXACT_SOURCE":"Table 1: Down-regulated gene","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in U937 cells (acute promyelocytic leukemia, APL) expressing RARA [GeneID=5914] fused with either PML or PLZF [GeneID=5371;7704].","DESCRIPTION_FULL":"Acute promyelocytic leukemia (APL) is associated with chromosomal translocations involving retinoic acid receptor alpha (RAR alpha) and its fusion partners including promyelocytic leukemia (PML) and promyelocytic leukemia zinc finger (PLZF). Using oligonucleotide arrays, we examined changes in global gene expression mediated by the ectopic expression of either PML/RAR alpha (retinoid-sensitive) or PLZF/RAR alpha (retinoid-resistant) in U937 cells. Of more than 5000 genes analyzed, 16 genes were commonly up-regulated, and 57 genes were down-regulated by both fusion proteins suggesting their role in the APL phenotype. In our APL model, for example, TNFAIP2, TNFR2, ELF4, RAR gamma, and HoxA1 were down-regulated by both fusion proteins in the absence of retinoic acid (RA). RA strongly up-regulated these genes in PML/RAR alpha, but not in PLZF/RAR alpha expressing U937 cells. Expression studies in NB4, retinoid-resistant NB4-R2, normal human CD34+ cells, and APL patient samples strongly suggest their role in the regulation of granulocytic differentiation. Furthermore, combined treatment with tumor necrosis factor alpha (TNF alpha) and RA synergistically enhanced granulocytic differentiation in NB4 cells but not in NB4-R2 cells. Our data indicate that APL pathogenesis and retinoid-induced granulocytic differentiation of APL cells involve genes in the cell death pathway, and that cooperation between the RA and TNFalpha signaling pathways exists. Targeting both the retinoid-dependent differentiation and the cell death pathways may improve leukemic therapy, especially in retinoid-resistant acute myeloid leukemia."}
{"STANDARD_NAME":"PARK_TRETINOIN_RESPONSE","SYSTEMATIC_NAME":"M15935","ORGANISM":"Homo sapiens","PMID":"12893766","AUTHORS":"Park DJ,Vuong PT,de Vos S,Douer D,Koeffler HP","EXACT_SOURCE":"Table 2: U937 cells","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in U937 cells (acute promyelocytic leukemia, APL) by tretinoin (ATRA) [PubChem=444795].","DESCRIPTION_FULL":"Acute promyelocytic leukemia (APL) is associated with chromosomal translocations involving retinoic acid receptor alpha (RAR alpha) and its fusion partners including promyelocytic leukemia (PML) and promyelocytic leukemia zinc finger (PLZF). Using oligonucleotide arrays, we examined changes in global gene expression mediated by the ectopic expression of either PML/RAR alpha (retinoid-sensitive) or PLZF/RAR alpha (retinoid-resistant) in U937 cells. Of more than 5000 genes analyzed, 16 genes were commonly up-regulated, and 57 genes were down-regulated by both fusion proteins suggesting their role in the APL phenotype. In our APL model, for example, TNFAIP2, TNFR2, ELF4, RAR gamma, and HoxA1 were down-regulated by both fusion proteins in the absence of retinoic acid (RA). RA strongly up-regulated these genes in PML/RAR alpha, but not in PLZF/RAR alpha expressing U937 cells. Expression studies in NB4, retinoid-resistant NB4-R2, normal human CD34+ cells, and APL patient samples strongly suggest their role in the regulation of granulocytic differentiation. Furthermore, combined treatment with tumor necrosis factor alpha (TNF alpha) and RA synergistically enhanced granulocytic differentiation in NB4 cells but not in NB4-R2 cells. Our data indicate that APL pathogenesis and retinoid-induced granulocytic differentiation of APL cells involve genes in the cell death pathway, and that cooperation between the RA and TNFalpha signaling pathways exists. Targeting both the retinoid-dependent differentiation and the cell death pathways may improve leukemic therapy, especially in retinoid-resistant acute myeloid leukemia."}
{"STANDARD_NAME":"PARK_TRETINOIN_RESPONSE_AND_PML_RARA_FUSION","SYSTEMATIC_NAME":"M19270","ORGANISM":"Homo sapiens","PMID":"12893766","AUTHORS":"Park DJ,Vuong PT,de Vos S,Douer D,Koeffler HP","EXACT_SOURCE":"Table 2: U937PR9 (PML/RAR alpha)","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated by tretinoin (ATRA) [PubChem=444795] in U937 cells (acute promyelocytic leukemia, APL) made sensitive to the drug by expression of the PML-RARA fusion [GeneID=5371;5914].","DESCRIPTION_FULL":"Acute promyelocytic leukemia (APL) is associated with chromosomal translocations involving retinoic acid receptor alpha (RAR alpha) and its fusion partners including promyelocytic leukemia (PML) and promyelocytic leukemia zinc finger (PLZF). Using oligonucleotide arrays, we examined changes in global gene expression mediated by the ectopic expression of either PML/RAR alpha (retinoid-sensitive) or PLZF/RAR alpha (retinoid-resistant) in U937 cells. Of more than 5000 genes analyzed, 16 genes were commonly up-regulated, and 57 genes were down-regulated by both fusion proteins suggesting their role in the APL phenotype. In our APL model, for example, TNFAIP2, TNFR2, ELF4, RAR gamma, and HoxA1 were down-regulated by both fusion proteins in the absence of retinoic acid (RA). RA strongly up-regulated these genes in PML/RAR alpha, but not in PLZF/RAR alpha expressing U937 cells. Expression studies in NB4, retinoid-resistant NB4-R2, normal human CD34+ cells, and APL patient samples strongly suggest their role in the regulation of granulocytic differentiation. Furthermore, combined treatment with tumor necrosis factor alpha (TNF alpha) and RA synergistically enhanced granulocytic differentiation in NB4 cells but not in NB4-R2 cells. Our data indicate that APL pathogenesis and retinoid-induced granulocytic differentiation of APL cells involve genes in the cell death pathway, and that cooperation between the RA and TNFalpha signaling pathways exists. Targeting both the retinoid-dependent differentiation and the cell death pathways may improve leukemic therapy, especially in retinoid-resistant acute myeloid leukemia."}
{"STANDARD_NAME":"PARK_TRETINOIN_RESPONSE_AND_RARA_PLZF_FUSION","SYSTEMATIC_NAME":"M11798","ORGANISM":"Homo sapiens","PMID":"12893766","AUTHORS":"Park DJ,Vuong PT,de Vos S,Douer D,Koeffler HP","EXACT_SOURCE":"Table 2: U937B412 (PLZF/RARalpha)","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated by tretinoin (ATRA) [PubChem=444795] in U937 cells (acute promyelocytic leukemia, APL) made resistant to the drug by expression of the PLZF-RARA fusion [GeneID=7704, 5914].","DESCRIPTION_FULL":"Acute promyelocytic leukemia (APL) is associated with chromosomal translocations involving retinoic acid receptor alpha (RAR alpha) and its fusion partners including promyelocytic leukemia (PML) and promyelocytic leukemia zinc finger (PLZF). Using oligonucleotide arrays, we examined changes in global gene expression mediated by the ectopic expression of either PML/RAR alpha (retinoid-sensitive) or PLZF/RAR alpha (retinoid-resistant) in U937 cells. Of more than 5000 genes analyzed, 16 genes were commonly up-regulated, and 57 genes were down-regulated by both fusion proteins suggesting their role in the APL phenotype. In our APL model, for example, TNFAIP2, TNFR2, ELF4, RAR gamma, and HoxA1 were down-regulated by both fusion proteins in the absence of retinoic acid (RA). RA strongly up-regulated these genes in PML/RAR alpha, but not in PLZF/RAR alpha expressing U937 cells. Expression studies in NB4, retinoid-resistant NB4-R2, normal human CD34+ cells, and APL patient samples strongly suggest their role in the regulation of granulocytic differentiation. Furthermore, combined treatment with tumor necrosis factor alpha (TNF alpha) and RA synergistically enhanced granulocytic differentiation in NB4 cells but not in NB4-R2 cells. Our data indicate that APL pathogenesis and retinoid-induced granulocytic differentiation of APL cells involve genes in the cell death pathway, and that cooperation between the RA and TNFalpha signaling pathways exists. Targeting both the retinoid-dependent differentiation and the cell death pathways may improve leukemic therapy, especially in retinoid-resistant acute myeloid leukemia."}
{"STANDARD_NAME":"WU_ALZHEIMER_DISEASE_UP","SYSTEMATIC_NAME":"M17609","ORGANISM":"Homo sapiens","PMID":"16116430","AUTHORS":"Wu Z,Guo H,Chow N,Sallstrom J,Bell RD,Deane R,Brooks AI,Kanagala S,Rubio A,Sagare A,Liu D,Li F,Armstrong D,Gasiewicz T,Zidovetzki R,Song X,Hofman F,Zlokovic BV","EXACT_SOURCE":"Table 2S","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in brain endothelial cells from patients with Alzheimer disease.","DESCRIPTION_FULL":"Neurovascular dysfunction substantially contributes to Alzheimer disease. Here, we show that transcriptional profiling of human brain endothelial cells (BECs) defines a subset of genes whose expression is age-independent but is considerably altered in Alzheimer disease, including the homeobox gene MEOX2 (also known as GAX), a regulator of vascular differentiation, whose expression is low in Alzheimer disease. By using viral-mediated MEOX2 gene silencing and transfer, we show that restoring expression of the protein it encodes, GAX, in BECs from individuals with Alzheimer disease stimulates angiogenesis, transcriptionally suppresses AFX1 forkhead transcription factor-mediated apoptosis and increases the levels of a major amyloid-beta peptide (Abeta) clearance receptor, the low-density lipoprotein receptor-related protein 1 (LRP), at the blood-brain barrier. In mice, deletion of Meox2 (also known as Gax) results in reductions in brain capillary density and resting cerebral blood flow, loss of the angiogenic response to hypoxia in the brain and an impaired Abeta efflux from brain caused by reduced LRP levels. The link of MEOX2 to neurovascular dysfunction in Alzheimer disease provides new mechanistic and therapeutic insights into this illness."}
{"STANDARD_NAME":"WU_ALZHEIMER_DISEASE_DN","SYSTEMATIC_NAME":"M13334","ORGANISM":"Homo sapiens","PMID":"16116430","AUTHORS":"Wu Z,Guo H,Chow N,Sallstrom J,Bell RD,Deane R,Brooks AI,Kanagala S,Rubio A,Sagare A,Liu D,Li F,Armstrong D,Gasiewicz T,Zidovetzki R,Song X,Hofman F,Zlokovic BV","EXACT_SOURCE":"Table 2S","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in brain endothelial cells from patients with Alzheimer disease.","DESCRIPTION_FULL":"Neurovascular dysfunction substantially contributes to Alzheimer disease. Here, we show that transcriptional profiling of human brain endothelial cells (BECs) defines a subset of genes whose expression is age-independent but is considerably altered in Alzheimer disease, including the homeobox gene MEOX2 (also known as GAX), a regulator of vascular differentiation, whose expression is low in Alzheimer disease. By using viral-mediated MEOX2 gene silencing and transfer, we show that restoring expression of the protein it encodes, GAX, in BECs from individuals with Alzheimer disease stimulates angiogenesis, transcriptionally suppresses AFX1 forkhead transcription factor-mediated apoptosis and increases the levels of a major amyloid-beta peptide (Abeta) clearance receptor, the low-density lipoprotein receptor-related protein 1 (LRP), at the blood-brain barrier. In mice, deletion of Meox2 (also known as Gax) results in reductions in brain capillary density and resting cerebral blood flow, loss of the angiogenic response to hypoxia in the brain and an impaired Abeta efflux from brain caused by reduced LRP levels. The link of MEOX2 to neurovascular dysfunction in Alzheimer disease provides new mechanistic and therapeutic insights into this illness."}
{"STANDARD_NAME":"MIZUKAMI_HYPOXIA_UP","SYSTEMATIC_NAME":"M208","ORGANISM":"Homo sapiens","PMID":"16127434","AUTHORS":"Mizukami Y,Jo WS,Duerr EM,Gala M,Li J,Zhang X,Zimmer MA,Iliopoulos O,Zukerberg LR,Kohgo Y,Lynch MP,Rueda BR,Chung DC","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in DLD-1 cells (colon cancer) in response to hypoxia; might not be direct targets of HIF1A [GeneID=3091].","DESCRIPTION_FULL":"Hypoxia inducible factor-1 (HIF-1) is considered a crucial mediator of the cellular response to hypoxia through its regulation of genes that control angiogenesis. It represents an attractive therapeutic target in colon cancer, one of the few tumor types that shows a clinical response to antiangiogenic therapy. But it is unclear whether inhibition of HIF-1 alone is sufficient to block tumor angiogenesis. In HIF-1alpha knockdown DLD-1 colon cancer cells (DLD-1(HIF-kd)), the hypoxic induction of vascular endothelial growth factor (VEGF) was only partially blocked. Xenografts remained highly vascularized with microvessel densities identical to DLD-1 tumors that had wild-type HIF-1alpha (DLD-1(HIF-wt)). In addition to the preserved expression of VEGF, the proangiogenic cytokine interleukin (IL)-8 was induced by hypoxia in DLD-1(HIF-kd) but not DLD-1(HIF-wt) cells. This induction was mediated by the production of hydrogen peroxide and subsequent activation of NF-kappaB. Furthermore, the KRAS oncogene, which is commonly mutated in colon cancer, enhanced the hypoxic induction of IL-8. A neutralizing antibody to IL-8 substantially inhibited angiogenesis and tumor growth in DLD-1(HIF-kd) but not DLD-1(HIF-wt) xenografts, verifying the functional significance of this IL-8 response. Thus, compensatory pathways can be activated to preserve the tumor angiogenic response, and strategies that inhibit HIF-1alpha may be most effective when IL-8 is simultaneously targeted."}
{"STANDARD_NAME":"WUNDER_INFLAMMATORY_RESPONSE_AND_CHOLESTEROL_DN","SYSTEMATIC_NAME":"M1888","ORGANISM":"Mus musculus","PMID":"16951684","AUTHORS":"Wunder C,Churin Y,Winau F,Warnecke D,Vieth M,Lindner B,Zähringer U,Mollenkopf HJ,Heinz E,Meyer TF","GEOID":"GSE3878","EXACT_SOURCE":"Table 1S","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in gastric mucosal tissue of mice on 2% cholesterol [PubChem=5997] diet and infected with H. pylori vs those infected with H. pylori while on 0% cholesterol diet.","DESCRIPTION_FULL":"Helicobacter pylori infection causes gastric pathology such as ulcer and carcinoma. Because H. pylori is auxotrophic for cholesterol, we have explored the assimilation of cholesterol by H. pylori in infection. Here we show that H. pylori follows a cholesterol gradient and extracts the lipid from plasma membranes of epithelial cells for subsequent glucosylation. Excessive cholesterol promotes phagocytosis of H. pylori by antigen-presenting cells, such as macrophages and dendritic cells, and enhances antigen-specific T cell responses. A cholesterol-rich diet during bacterial challenge leads to T cell-dependent reduction of the H. pylori burden in the stomach. Intrinsic alpha-glucosylation of cholesterol abrogates phagocytosis of H. pylori and subsequent T cell activation. We identify the gene hp0421 as encoding the enzyme cholesterol-alpha-glucosyltransferase responsible for cholesterol glucosylation. Generation of knockout mutants lacking hp0421 corroborates the importance of cholesteryl glucosides for escaping phagocytosis, T cell activation and bacterial clearance in vivo. Thus, we propose a mechanism regulating the host-pathogen interaction whereby glucosylation of a lipid tips the scales towards immune evasion or response."}
{"STANDARD_NAME":"RAY_TARGETS_OF_P210_BCR_ABL_FUSION_UP","SYSTEMATIC_NAME":"M16309","ORGANISM":"Homo sapiens","PMID":"15155749","AUTHORS":"Ray S,Lu Y,Kaufmann SH,Gustafson WC,Karp JE,Boldogh I,Fields AP,Brasier AR","EXACT_SOURCE":"Table 3","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in HL-60 cells (acute myeloid leukemia, AML) by expression of p210 BCR-ABL [GeneID=613;25] fusion protein.","DESCRIPTION_FULL":"Chronic myelogenous leukemia (CML) results from a t(9,22) translocation, producing the p210(BCR-ABL) oncoprotein, a tyrosine kinase that causes transformation and chemotherapy resistance. To further understand mechanisms mediating chemotherapy resistance, we identified 556 differentially regulated genes in HL-60 cells stably expressing p210(BCR-ABL) versus those expressing an empty vector using cDNA macro- and oligonucleotide microarrays. These BCR-ABL-regulated gene products play diverse roles in cellular function including apoptosis, cell cycle regulation, intracellular signaling, transcription, and cellular adhesion. In particular, we identified up-regulation of the inducible form of heat shock protein 70 (Hsp70), and further explored the mechanism for its up-regulation. In HL-60/BCR-ABL and K562 cells (expressing p210(BCR-ABL)), abundant cytoplasmic Hsp70 expression was detected by immunoblot analysis. Moreover, cells isolated from bone marrow aspirates of patients in different stages of CML (chronic, aggressive, and blast crisis) express Hsp70. Expression of p210(BCR-ABL) in BCR-ABL negative cells induced transcription of the proximal Hsp70 promoter. Mutational analysis mapped the major p210(BCR-ABL) responsive element to a high affinity 5'(A/T)GATA(A/G)-3' GATA response element (GATA-RE) that binds GATA-1 in CML cells. The GATA-RE was sufficient to confer p210(BCR-ABL)- and p185(BCR-ABL)-mediated trans-activation to an inert promoter. Short interfering RNA mediated knockdown of Hsp70 expression in K562 cells induced marked sensitivity to paclitaxel-induced apoptosis. Together these findings indicate that BCR-ABL confers chemotherapeutic resistance through intracellular signaling to the GATA-RE element found in the promoter region of the anti-apoptotic Hsp70 protein. We suggest that down-regulation of the GATA-Hsp70 pathway may be useful in the treatment of chemotherapy-resistant CML."}
{"STANDARD_NAME":"RAY_TARGETS_OF_P210_BCR_ABL_FUSION_DN","SYSTEMATIC_NAME":"M319","ORGANISM":"Homo sapiens","PMID":"15155749","AUTHORS":"Ray S,Lu Y,Kaufmann SH,Gustafson WC,Karp JE,Boldogh I,Fields AP,Brasier AR","EXACT_SOURCE":"Table 3","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in HL-60 cells (acute myeloid leukemia, AML) by expression of p210 BCR-ABL [GeneID=613;25] fusion protein.","DESCRIPTION_FULL":"Chronic myelogenous leukemia (CML) results from a t(9,22) translocation, producing the p210(BCR-ABL) oncoprotein, a tyrosine kinase that causes transformation and chemotherapy resistance. To further understand mechanisms mediating chemotherapy resistance, we identified 556 differentially regulated genes in HL-60 cells stably expressing p210(BCR-ABL) versus those expressing an empty vector using cDNA macro- and oligonucleotide microarrays. These BCR-ABL-regulated gene products play diverse roles in cellular function including apoptosis, cell cycle regulation, intracellular signaling, transcription, and cellular adhesion. In particular, we identified up-regulation of the inducible form of heat shock protein 70 (Hsp70), and further explored the mechanism for its up-regulation. In HL-60/BCR-ABL and K562 cells (expressing p210(BCR-ABL)), abundant cytoplasmic Hsp70 expression was detected by immunoblot analysis. Moreover, cells isolated from bone marrow aspirates of patients in different stages of CML (chronic, aggressive, and blast crisis) express Hsp70. Expression of p210(BCR-ABL) in BCR-ABL negative cells induced transcription of the proximal Hsp70 promoter. Mutational analysis mapped the major p210(BCR-ABL) responsive element to a high affinity 5'(A/T)GATA(A/G)-3' GATA response element (GATA-RE) that binds GATA-1 in CML cells. The GATA-RE was sufficient to confer p210(BCR-ABL)- and p185(BCR-ABL)-mediated trans-activation to an inert promoter. Short interfering RNA mediated knockdown of Hsp70 expression in K562 cells induced marked sensitivity to paclitaxel-induced apoptosis. Together these findings indicate that BCR-ABL confers chemotherapeutic resistance through intracellular signaling to the GATA-RE element found in the promoter region of the anti-apoptotic Hsp70 protein. We suggest that down-regulation of the GATA-Hsp70 pathway may be useful in the treatment of chemotherapy-resistant CML."}
{"STANDARD_NAME":"SCHRAETS_MLL_TARGETS_UP","SYSTEMATIC_NAME":"M1902","ORGANISM":"Mus musculus","PMID":"12789274","AUTHORS":"Schraets D,Lehmann T,Dingermann T,Marschalek R","EXACT_SOURCE":"Table 1","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in fibroblasts from MLL [GeneID=4297] knockout mice.","DESCRIPTION_FULL":"The human mixed lineage leukemia (MLL) gene is involved in about 50 different chromosomal translocations, associated with the disease phenotype of acute leukemia. However, the normal function of MLL is less understood. Homozygous knockouts of murine Mll were embryonal lethal, while heterozygous disruption led to aberrant hox gene expression associated with skeletal malformations, growth retardation, and impaired hematopoiesis. To understand MLL functions on the molecular level, gene expression profiling experiments were performed with a pair of murine cell lines (MLL(+/+) and MLL(-/-)). Microarray hybridization experiments revealed 197 potential target genes that are differentially expressed, providing new and important clues about MLL functions."}
{"STANDARD_NAME":"MUELLER_COMMON_TARGETS_OF_AML_FUSIONS_UP","SYSTEMATIC_NAME":"M2289","ORGANISM":"Homo sapiens","PMID":"15024077","AUTHORS":"Müller-Tidow C,Steffen B,Cauvet T,Tickenbrock L,Ji P,Diederichs S,Sargin B,Köhler G,Stelljes M,Puccetti E,Ruthardt M,deVos S,Hiebert SW,Koeffler HP,Berdel WE,Serve H","EXACT_SOURCE":"Table 1: Induced","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Up-regulated target genes shared by acute myeloid leukemia (AML) translocation products PML RARA [GeneID=5371;5914], AML1 ETO [GeneID=861;862], and PLZF RARA [GeneID=5914;7704].","DESCRIPTION_FULL":"The acute myeloid leukemia (AML)-associated translocation products AML1-ETO, PML-retinoic acid receptor alpha (RARalpha), and PLZF-RARalpha encode aberrant transcription factors. Several lines of evidence suggest similar pathogenetic mechanisms for these fusion proteins. We used high-density oligonucleotide arrays to identify shared target genes in inducibly transfected U937 cells expressing AML1-ETO, PML-RARalpha, or PLZF-RARalpha. All three fusion proteins significantly repressed the expression of 38 genes and induced the expression of 14 genes. Several of the regulated genes were associated with Wnt signaling. One of these, plakoglobin (gamma-catenin), was induced on the mRNA and protein level by all three fusion proteins. In addition, primary AML blasts carrying one of the fusion proteins significantly overexpressed plakoglobin. The plakoglobin promoter was cloned and shown to be induced by AML1-ETO, with promoter activation depending on the corepressor and histone deacetylase binding domains. The induction of plakoglobin by AML fusion proteins led to downstream signaling and transactivation of TCF- and LEF-dependent promoters, including the c-myc promoter, which was found to be bound by plakoglobin in vivo after AML1-ETO expression. beta-Catenin protein levels and TCF and LEF target genes such as c-myc and cyclin D1 were found to be induced by the fusion proteins. On the functional level, a dominant negative TCF inhibited colony growth of AML1-ETO-positive Kasumi cells, whereas plakoglobin transfection into myeloid 32D cells enhanced proliferation and clonal growth. Injection of plakoglobin-expressing 32D cells into syngeneic mice accelerated the development of leukemia. Transduction of plakoglobin into primitive murine hematopoietic progenitor cells preserved the immature phenotype during colony growth, suggesting enhanced self-renewal. These data provide evidence that activation of Wnt signaling is a common feature of several balanced translocations in AML."}
{"STANDARD_NAME":"MUELLER_COMMON_TARGETS_OF_AML_FUSIONS_DN","SYSTEMATIC_NAME":"M8780","ORGANISM":"Homo sapiens","PMID":"15024077","AUTHORS":"Müller-Tidow C,Steffen B,Cauvet T,Tickenbrock L,Ji P,Diederichs S,Sargin B,Köhler G,Stelljes M,Puccetti E,Ruthardt M,deVos S,Hiebert SW,Koeffler HP,Berdel WE,Serve H","EXACT_SOURCE":"Table 1: repressed","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated target genes shared by acute myeloid leukemia (AML) translocation products PML RARA [GeneID=5371;5914], AML1 ETO [GeneID=861;862], and PLZF RARA [GeneID=5914;7704].","DESCRIPTION_FULL":"The acute myeloid leukemia (AML)-associated translocation products AML1-ETO, PML-retinoic acid receptor alpha (RARalpha), and PLZF-RARalpha encode aberrant transcription factors. Several lines of evidence suggest similar pathogenetic mechanisms for these fusion proteins. We used high-density oligonucleotide arrays to identify shared target genes in inducibly transfected U937 cells expressing AML1-ETO, PML-RARalpha, or PLZF-RARalpha. All three fusion proteins significantly repressed the expression of 38 genes and induced the expression of 14 genes. Several of the regulated genes were associated with Wnt signaling. One of these, plakoglobin (gamma-catenin), was induced on the mRNA and protein level by all three fusion proteins. In addition, primary AML blasts carrying one of the fusion proteins significantly overexpressed plakoglobin. The plakoglobin promoter was cloned and shown to be induced by AML1-ETO, with promoter activation depending on the corepressor and histone deacetylase binding domains. The induction of plakoglobin by AML fusion proteins led to downstream signaling and transactivation of TCF- and LEF-dependent promoters, including the c-myc promoter, which was found to be bound by plakoglobin in vivo after AML1-ETO expression. beta-Catenin protein levels and TCF and LEF target genes such as c-myc and cyclin D1 were found to be induced by the fusion proteins. On the functional level, a dominant negative TCF inhibited colony growth of AML1-ETO-positive Kasumi cells, whereas plakoglobin transfection into myeloid 32D cells enhanced proliferation and clonal growth. Injection of plakoglobin-expressing 32D cells into syngeneic mice accelerated the development of leukemia. Transduction of plakoglobin into primitive murine hematopoietic progenitor cells preserved the immature phenotype during colony growth, suggesting enhanced self-renewal. These data provide evidence that activation of Wnt signaling is a common feature of several balanced translocations in AML."}
{"STANDARD_NAME":"ROSS_LEUKEMIA_WITH_MLL_FUSIONS","SYSTEMATIC_NAME":"M12695","ORGANISM":"Homo sapiens","PMID":"15226186","AUTHORS":"Ross ME,Mahfouz R,Onciu M,Liu HC,Zhou X,Song G,Shurtleff SA,Pounds S,Cheng C,Ma J,Ribeiro RC,Rubnitz JE,Girtman K,Williams WK,Raimondi SC,Liang DC,Shih LY,Pui CH,Downing JR","EXACT_SOURCE":"Table 13S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top 100 probe sets associated with MLL fusions [GeneID=4297] irrespective of the lineage of the pediatric acute leukemia.","DESCRIPTION_FULL":"Contemporary treatment of pediatric acute myeloid leukemia (AML) requires the assignment of patients to specific risk groups. To explore whether expression profiling of leukemic blasts could accurately distinguish between the known risk groups of AML, we analyzed 130 pediatric and 20 adult AML diagnostic bone marrow or peripheral blood samples using the Affymetrix U133A microarray. Class discriminating genes were identified for each of the major prognostic subtypes of pediatric AML, including t(15;17)[PML-RARalpha], t(8;21)[AML1-ETO], inv(16) [CBFbeta-MYH11], MLL chimeric fusion genes, and cases classified as FAB-M7. When subsets of these genes were used in supervised learning algorithms, an overall classification accuracy of more than 93% was achieved. Moreover, we were able to use the expression signatures generated from the pediatric samples to accurately classify adult de novo AMLs with the same genetic lesions. The class discriminating genes also provided novel insights into the molecular pathobiology of these leukemias. Finally, using a combined pediatric data set of 130 AMLs and 137 acute lymphoblastic leukemias, we identified an expression signature for cases with MLL chimeric fusion genes irrespective of lineage. Surprisingly, AMLs containing partial tandem duplications of MLL failed to cluster with MLL chimeric fusion gene cases, suggesting a significant difference in their underlying mechanism of transformation."}
{"STANDARD_NAME":"VANASSE_BCL2_TARGETS_UP","SYSTEMATIC_NAME":"M1906","ORGANISM":"Mus musculus","PMID":"15561778","AUTHORS":"Vanasse GJ,Winn RK,Rodov S,Zieske AW,Li JT,Tupper JC,Tang J,Raines EW,Peters MA,Yeung KY,Harlan JM","EXACT_SOURCE":"Table 1: fold change > 0","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in primary B lymphocytes engineered to overexpress BCL2 [GeneID=12043].","DESCRIPTION_FULL":"The t(14;18)(q32;q21), resulting in deregulated expression of B-cell-leukemia/lymphoma-2 (Bcl-2), represents the genetic hallmark in human follicular lymphomas. Substantial evidence supports the hypothesis that the t(14;18) and Bcl-2 overexpression are necessary but not solely responsible for neoplastic transformation and require cooperating genetic derangements for neoplastic transformation to occur. To investigate genes that cooperate with Bcl-2 to influence cellular signaling pathways important for neoplastic transformation, we used oligonucleotide microarrays to determine differential gene expression patterns in CD19+ B cells isolated from Emu-Bcl-2 transgenic mice and wild-type littermate control mice. Fifty-seven genes were induced and 94 genes were repressed by > or =2-fold in Emu-Bcl-2 transgenic mice (P < 0.05). The suppressor of cytokine signaling-3 (SOCS3) gene was found to be overexpressed 5-fold in B cells from Emu-Bcl-2 transgenic mice. Overexpression of Bcl-2 in both mouse embryo fibroblast-1 and hematopoietic cell lines resulted in induction of SOCS3 protein, suggesting a Bcl-2-associated mechanism underlying SOCS3 induction. Immunohistochemistry with SOCS3 antisera on tissue from a cohort of patients with de novo follicular lymphoma revealed marked overexpression of SOCS3 protein that, within the follicular center cell region, was limited to neoplastic follicular lymphoma cells and colocalized with Bcl-2 expression in 9 of 12 de novo follicular lymphoma cases examined. In contrast, SOCS3 protein expression was not detected in the follicular center cell region of benign hyperplastic tonsil tissue. These data suggest that Bcl-2 overexpression leads to the induction of activated signal transducer and activator of transcription 3 (STAT3) and to the induction of SOCS3, which may contribute to the pathogenesis of follicular lymphoma."}
{"STANDARD_NAME":"VANASSE_BCL2_TARGETS_DN","SYSTEMATIC_NAME":"M1910","ORGANISM":"Mus musculus","PMID":"15561778","AUTHORS":"Vanasse GJ,Winn RK,Rodov S,Zieske AW,Li JT,Tupper JC,Tang J,Raines EW,Peters MA,Yeung KY,Harlan JM","EXACT_SOURCE":"Table 1: fold change < 0","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in primary B lymphocytes engineered to overexpress BCL2 [GeneID=12043].","DESCRIPTION_FULL":"The t(14;18)(q32;q21), resulting in deregulated expression of B-cell-leukemia/lymphoma-2 (Bcl-2), represents the genetic hallmark in human follicular lymphomas. Substantial evidence supports the hypothesis that the t(14;18) and Bcl-2 overexpression are necessary but not solely responsible for neoplastic transformation and require cooperating genetic derangements for neoplastic transformation to occur. To investigate genes that cooperate with Bcl-2 to influence cellular signaling pathways important for neoplastic transformation, we used oligonucleotide microarrays to determine differential gene expression patterns in CD19+ B cells isolated from Emu-Bcl-2 transgenic mice and wild-type littermate control mice. Fifty-seven genes were induced and 94 genes were repressed by > or =2-fold in Emu-Bcl-2 transgenic mice (P < 0.05). The suppressor of cytokine signaling-3 (SOCS3) gene was found to be overexpressed 5-fold in B cells from Emu-Bcl-2 transgenic mice. Overexpression of Bcl-2 in both mouse embryo fibroblast-1 and hematopoietic cell lines resulted in induction of SOCS3 protein, suggesting a Bcl-2-associated mechanism underlying SOCS3 induction. Immunohistochemistry with SOCS3 antisera on tissue from a cohort of patients with de novo follicular lymphoma revealed marked overexpression of SOCS3 protein that, within the follicular center cell region, was limited to neoplastic follicular lymphoma cells and colocalized with Bcl-2 expression in 9 of 12 de novo follicular lymphoma cases examined. In contrast, SOCS3 protein expression was not detected in the follicular center cell region of benign hyperplastic tonsil tissue. These data suggest that Bcl-2 overexpression leads to the induction of activated signal transducer and activator of transcription 3 (STAT3) and to the induction of SOCS3, which may contribute to the pathogenesis of follicular lymphoma."}
{"STANDARD_NAME":"VANTVEER_BREAST_CANCER_ESR1_DN","SYSTEMATIC_NAME":"M15425","ORGANISM":"Homo sapiens","PMID":"11823860","AUTHORS":"van 't Veer LJ,Dai H,van de Vijver MJ,He YD,Hart AA,Mao M,Peterse HL,van der Kooy K,Marton MJ,Witteveen AT,Schreiber GJ,Kerkhoven RM,Roberts C,Linsley PS,Bernards R,Friend SH","EXACT_SOURCE":"Table 3S: top 550 with |correlation| > 0.3 & correlation < -0.3","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated genes from the optimal set of 550 markers discriminating breast cancer samples by ESR1 [GeneID=2099] expression: ER(+) vs ER(-) tumors.","DESCRIPTION_FULL":"Breast cancer patients with the same stage of disease can have markedly different treatment responses and overall outcome. The strongest predictors for metastases (for example, lymph node status and histological grade) fail to classify accurately breast tumours according to their clinical behaviour. Chemotherapy or hormonal therapy reduces the risk of distant metastases by approximately one-third; however, 70-80% of patients receiving this treatment would have survived without it. None of the signatures of breast cancer gene expression reported to date allow for patient-tailored therapy strategies. Here we used DNA microarray analysis on primary breast tumours of 117 young patients, and applied supervised classification to identify a gene expression signature strongly predictive of a short interval to distant metastases ('poor prognosis' signature) in patients without tumour cells in local lymph nodes at diagnosis (lymph node negative). In addition, we established a signature that identifies tumours of BRCA1 carriers. The poor prognosis signature consists of genes regulating cell cycle, invasion, metastasis and angiogenesis. This gene expression profile will outperform all currently used clinical parameters in predicting disease outcome. Our findings provide a strategy to select patients who would benefit from adjuvant therapy."}
{"STANDARD_NAME":"VANTVEER_BREAST_CANCER_BRCA1_UP","SYSTEMATIC_NAME":"M16737","ORGANISM":"Homo sapiens","PMID":"11823860","AUTHORS":"van 't Veer LJ,Dai H,van de Vijver MJ,He YD,Hart AA,Mao M,Peterse HL,van der Kooy K,Marton MJ,Witteveen AT,Schreiber GJ,Kerkhoven RM,Roberts C,Linsley PS,Bernards R,Friend SH","EXACT_SOURCE":"Table 4S: top 100 with |correlation| > 0.3 & correlation > 0.3","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Up-regulated genes from the optimal set of 100 markers discriminating ER(-) breast cancer tumors by BRCA1 [GeneID=672] mutation status.","DESCRIPTION_FULL":"Breast cancer patients with the same stage of disease can have markedly different treatment responses and overall outcome. The strongest predictors for metastases (for example, lymph node status and histological grade) fail to classify accurately breast tumours according to their clinical behaviour. Chemotherapy or hormonal therapy reduces the risk of distant metastases by approximately one-third; however, 70-80% of patients receiving this treatment would have survived without it. None of the signatures of breast cancer gene expression reported to date allow for patient-tailored therapy strategies. Here we used DNA microarray analysis on primary breast tumours of 117 young patients, and applied supervised classification to identify a gene expression signature strongly predictive of a short interval to distant metastases ('poor prognosis' signature) in patients without tumour cells in local lymph nodes at diagnosis (lymph node negative). In addition, we established a signature that identifies tumours of BRCA1 carriers. The poor prognosis signature consists of genes regulating cell cycle, invasion, metastasis and angiogenesis. This gene expression profile will outperform all currently used clinical parameters in predicting disease outcome. Our findings provide a strategy to select patients who would benefit from adjuvant therapy."}
{"STANDARD_NAME":"VANTVEER_BREAST_CANCER_BRCA1_DN","SYSTEMATIC_NAME":"M3464","ORGANISM":"Homo sapiens","PMID":"11823860","AUTHORS":"van 't Veer LJ,Dai H,van de Vijver MJ,He YD,Hart AA,Mao M,Peterse HL,van der Kooy K,Marton MJ,Witteveen AT,Schreiber GJ,Kerkhoven RM,Roberts C,Linsley PS,Bernards R,Friend SH","EXACT_SOURCE":"Table 4S: top 100 with |correlation| > 0.3 & correlation < -0.3","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated genes from the optimal set of 100 markers discriminating ER(-) breast cancer tumors by BRCA1 [GeneID=672] mutation status.","DESCRIPTION_FULL":"Breast cancer patients with the same stage of disease can have markedly different treatment responses and overall outcome. The strongest predictors for metastases (for example, lymph node status and histological grade) fail to classify accurately breast tumours according to their clinical behaviour. Chemotherapy or hormonal therapy reduces the risk of distant metastases by approximately one-third; however, 70-80% of patients receiving this treatment would have survived without it. None of the signatures of breast cancer gene expression reported to date allow for patient-tailored therapy strategies. Here we used DNA microarray analysis on primary breast tumours of 117 young patients, and applied supervised classification to identify a gene expression signature strongly predictive of a short interval to distant metastases ('poor prognosis' signature) in patients without tumour cells in local lymph nodes at diagnosis (lymph node negative). In addition, we established a signature that identifies tumours of BRCA1 carriers. The poor prognosis signature consists of genes regulating cell cycle, invasion, metastasis and angiogenesis. This gene expression profile will outperform all currently used clinical parameters in predicting disease outcome. Our findings provide a strategy to select patients who would benefit from adjuvant therapy."}
{"STANDARD_NAME":"WALLACE_JAK2_TARGETS_UP","SYSTEMATIC_NAME":"M3058","ORGANISM":"Homo sapiens","PMID":"15189810","AUTHORS":"Wallace TA,VonDerLinden D,He K,Frank SJ,Sayeski PP","EXACT_SOURCE":"Table 1: average induction > 7","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated more than 7-fold by expressing JAK2 [GeneID=3717] in the JAK2 null cell line.","DESCRIPTION_FULL":"Mice lacking a functional Janus kinase 2 (JAK2) allele die embryonically, indicating the mandatory role of JAK2 in basic developmental cellular transcription. Currently, however, the downstream target genes of JAK2 are largely unknown. Here, in vitro conditions were created using a cell line lacking JAK2 expression. Microarray analysis was then used to identify genes that are differentially expressed as a result of the presence, or absence, of JAK2. The data identified 621 JAK2-dependent genes as having at least a twofold change in expression. Surprisingly, these genes did not require ligand-dependent activation of JAK2 but merely its expression in the cell. Thirty-one of these genes were found to have a greater than sevenfold change in expression levels, and a subset of these were further characterized. These genes represent a diverse cluster of ontological functions including transcription factors, signaling molecules, and cell surface receptors. The expression levels of these genes were validated by Northern blot and/or quantitative RT-PCR analysis in both the JAK2 null cells and cells expressing a JAK2-dominant negative allele. As such, this work demonstrates for the first time that, in addition to being a key mediator of ligand-activated gene transcription, JAK2 can perhaps also be viewed as a critical mediator of basal level gene expression."}
{"STANDARD_NAME":"AGUIRRE_PANCREATIC_CANCER_COPY_NUMBER_UP","SYSTEMATIC_NAME":"M9565","ORGANISM":"Homo sapiens","PMID":"15199222","AUTHORS":"Aguirre AJ,Brennan C,Bailey G,Sinha R,Feng B,Leo C,Zhang Y,Zhang J,Gans JD,Bardeesy N,Cauwels C,Cordon-Cardo C,Redston MS,DePinho RA,Chin L","EXACT_SOURCE":"Table 5S: gene weight > 0","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Up-regulated genes whose expression correlates with copy number gains in pancreatic adenocarcinoma cell lines and primary tumor specimens.","DESCRIPTION_FULL":"The pancreatic adenocarcinoma genome harbors multiple amplifications and deletions, pointing to the existence of numerous oncogenes and tumor suppressor genes driving the genesis and progression of this lethal cancer. Here, array comparative genomic hybridization on a cDNA microarray platform and informatics tools have been used to define the copy number alterations in a panel of 24 pancreatic adenocarcinoma cell lines and 13 primary tumor specimens. This high-resolution genomic analysis has identified all known regional gains and losses as well as many previously uncharacterized highly recurrent copy number alterations. A systematic prioritization scheme has selected 64 focal minimal common regions (MCRs) of recurrent copy number change. These MCRs possess a median size of 2.7 megabases (Mb), with 21 (33%) MCRs spanning 1 Mb or less (median of 0.33 Mb) and possessing an average of 15 annotated genes. Furthermore, complementary expression profile analysis of a significant fraction of the genes residing within these 64 prioritized MCRs has enabled the identification of a subset of candidates with statistically significant association between gene dosage and mRNA expression. Thus, the integration of DNA and RNA profiles provides a highly productive entry point for the discovery of genes involved in the pathogenesis of pancreatic adenocarcinoma."}
{"STANDARD_NAME":"AGUIRRE_PANCREATIC_CANCER_COPY_NUMBER_DN","SYSTEMATIC_NAME":"M8897","ORGANISM":"Homo sapiens","PMID":"15199222","AUTHORS":"Aguirre AJ,Brennan C,Bailey G,Sinha R,Feng B,Leo C,Zhang Y,Zhang J,Gans JD,Bardeesy N,Cauwels C,Cordon-Cardo C,Redston MS,DePinho RA,Chin L","EXACT_SOURCE":"Table 5S: gene weight < 0","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated genes whose expression correlates with copy number losses in pancreatic adenocarcinoma cell lines and primary tumor specimens.","DESCRIPTION_FULL":"The pancreatic adenocarcinoma genome harbors multiple amplifications and deletions, pointing to the existence of numerous oncogenes and tumor suppressor genes driving the genesis and progression of this lethal cancer. Here, array comparative genomic hybridization on a cDNA microarray platform and informatics tools have been used to define the copy number alterations in a panel of 24 pancreatic adenocarcinoma cell lines and 13 primary tumor specimens. This high-resolution genomic analysis has identified all known regional gains and losses as well as many previously uncharacterized highly recurrent copy number alterations. A systematic prioritization scheme has selected 64 focal minimal common regions (MCRs) of recurrent copy number change. These MCRs possess a median size of 2.7 megabases (Mb), with 21 (33%) MCRs spanning 1 Mb or less (median of 0.33 Mb) and possessing an average of 15 annotated genes. Furthermore, complementary expression profile analysis of a significant fraction of the genes residing within these 64 prioritized MCRs has enabled the identification of a subset of candidates with statistically significant association between gene dosage and mRNA expression. Thus, the integration of DNA and RNA profiles provides a highly productive entry point for the discovery of genes involved in the pathogenesis of pancreatic adenocarcinoma."}
{"STANDARD_NAME":"HINATA_NFKB_TARGETS_KERATINOCYTE_DN","SYSTEMATIC_NAME":"M1959","ORGANISM":"Homo sapiens","PMID":"12673201","AUTHORS":"Hinata K,Gervin AM,Jennifer Zhang Y,Khavari PA","EXACT_SOURCE":"Table 2: blue color","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in primary keratinocytes by expression of p50 (NFKB1) and p65 (RELA) [GeneID=4790;5970] components of NFKB.","DESCRIPTION_FULL":"NF-kappa B regulates normal and pathological processes, including neoplasia, in a tissue-context-dependent manner. In skin, NF-kappa B is implicated in epidermal homeostasis as well as in the pathogenesis of squamous cell carcinoma; however, its function in the underlying mesenchymal dermis has been unclear. To gain insight into NF-kappa B roles in these two adjacent cutaneous tissue compartments, NF-kappa B effects on expression of 12 435 genes were determined in epidermal keratinocytes and dermal fibroblasts. Although NF-kappa B induced proinflammatory and antiapoptotic genes in both settings, it exhibited divergent effects on growth regulatory genes. In keratinocytes, but not in fibroblasts, NF-kappa B induced p21(CIP1), which was sufficient to inhibit growth of both cell types. Levels of growth inhibitory factor (GIF), in contrast, were increased by NF-kappa B in both settings but inhibited growth only in keratinocytes. These findings indicate that transcription factors such as NF-kappa B can program tissue-selective effects via both differential target gene induction as well as by inducing common targets that exert differing effects depending on cellular lineage."}
{"STANDARD_NAME":"HOFFMANN_PRE_BI_TO_LARGE_PRE_BII_LYMPHOCYTE_UP","SYSTEMATIC_NAME":"M5589","ORGANISM":"Mus musculus","PMID":"11779835","AUTHORS":"Hoffmann R,Seidl T,Neeb M,Rolink A,Melchers F","EXACT_SOURCE":"Table 2S: CHGF_PRE_LAR>=4","CHIP":"AFFY_Mu11K","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated during differentiation from pre-BI to large pre-BII lymphocyte.","DESCRIPTION_FULL":"Gene expression profiles of five consecutive stages of mouse B cell development were generated with high-density oligonucleotide arrays from as few as 2 x 10(4) ex vivo isolated and flow-cytometrically purified cells. Between 2.8% and 6.8% of all genes change on differentiation from one cellular stage to the next by at least twofold. The entire pathway involves differential expression of 10.7% of all genes. Previously known expression patterns of 15 genes (like surrogate light chain, RAG-1/2, MHC class II, mel-14 antigen) are confirmed. The gene expression patterns of the proliferating pre-BI and large pre-BII cells on the one hand, and the resting immature and mature B cells on the other hand, are most similar to each other. Small pre-BII cells display a pattern that is transitional between these two groups. Most of the genes expressed in early precursors are involved in general processes, like protein folding or cell cycle regulation, whereas more mature precursors express genes involved in more specific molecular programs (cell surface receptors, secreted factors, and adhesion molecules, among others). Between 19 and 139 genes share a given expression pattern. Combining knowledge about gene function and expression pattern allows identification of novel candidate genes potentially involved in self-maintenance of pre-BI cells, allelic exclusion and pre-B cell receptor signaling in large pre BII cells, cell-cycle arrest of small pre-BII cells, propensity toward apoptosis or anergization in immature B cells, propensity toward cell division and activation in mature B cells, and stage-specific interactions with stromal cells in the bone marrow."}
{"STANDARD_NAME":"HOFFMANN_PRE_BI_TO_LARGE_PRE_BII_LYMPHOCYTE_DN","SYSTEMATIC_NAME":"M7405","ORGANISM":"Mus musculus","PMID":"11779835","AUTHORS":"Hoffmann R,Seidl T,Neeb M,Rolink A,Melchers F","EXACT_SOURCE":"Table 2S: CHGF_PRE_LAR<=-4","CHIP":"AFFY_Mu11K","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated during differentiation from pre-BI to large pre-BII lymphocyte.","DESCRIPTION_FULL":"Gene expression profiles of five consecutive stages of mouse B cell development were generated with high-density oligonucleotide arrays from as few as 2 x 10(4) ex vivo isolated and flow-cytometrically purified cells. Between 2.8% and 6.8% of all genes change on differentiation from one cellular stage to the next by at least twofold. The entire pathway involves differential expression of 10.7% of all genes. Previously known expression patterns of 15 genes (like surrogate light chain, RAG-1/2, MHC class II, mel-14 antigen) are confirmed. The gene expression patterns of the proliferating pre-BI and large pre-BII cells on the one hand, and the resting immature and mature B cells on the other hand, are most similar to each other. Small pre-BII cells display a pattern that is transitional between these two groups. Most of the genes expressed in early precursors are involved in general processes, like protein folding or cell cycle regulation, whereas more mature precursors express genes involved in more specific molecular programs (cell surface receptors, secreted factors, and adhesion molecules, among others). Between 19 and 139 genes share a given expression pattern. Combining knowledge about gene function and expression pattern allows identification of novel candidate genes potentially involved in self-maintenance of pre-BI cells, allelic exclusion and pre-B cell receptor signaling in large pre BII cells, cell-cycle arrest of small pre-BII cells, propensity toward apoptosis or anergization in immature B cells, propensity toward cell division and activation in mature B cells, and stage-specific interactions with stromal cells in the bone marrow."}
{"STANDARD_NAME":"HOFFMANN_LARGE_TO_SMALL_PRE_BII_LYMPHOCYTE_DN","SYSTEMATIC_NAME":"M19523","ORGANISM":"Mus musculus","PMID":"11779835","AUTHORS":"Hoffmann R,Seidl T,Neeb M,Rolink A,Melchers F","EXACT_SOURCE":"Table 2S: CHGF_LAR_SMA<=-4","CHIP":"AFFY_Mu11K","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated during differentiation from large pre-BII to small pre-BII lymphocyte.","DESCRIPTION_FULL":"Gene expression profiles of five consecutive stages of mouse B cell development were generated with high-density oligonucleotide arrays from as few as 2 x 10(4) ex vivo isolated and flow-cytometrically purified cells. Between 2.8% and 6.8% of all genes change on differentiation from one cellular stage to the next by at least twofold. The entire pathway involves differential expression of 10.7% of all genes. Previously known expression patterns of 15 genes (like surrogate light chain, RAG-1/2, MHC class II, mel-14 antigen) are confirmed. The gene expression patterns of the proliferating pre-BI and large pre-BII cells on the one hand, and the resting immature and mature B cells on the other hand, are most similar to each other. Small pre-BII cells display a pattern that is transitional between these two groups. Most of the genes expressed in early precursors are involved in general processes, like protein folding or cell cycle regulation, whereas more mature precursors express genes involved in more specific molecular programs (cell surface receptors, secreted factors, and adhesion molecules, among others). Between 19 and 139 genes share a given expression pattern. Combining knowledge about gene function and expression pattern allows identification of novel candidate genes potentially involved in self-maintenance of pre-BI cells, allelic exclusion and pre-B cell receptor signaling in large pre BII cells, cell-cycle arrest of small pre-BII cells, propensity toward apoptosis or anergization in immature B cells, propensity toward cell division and activation in mature B cells, and stage-specific interactions with stromal cells in the bone marrow."}
{"STANDARD_NAME":"HOFFMANN_SMALL_PRE_BII_TO_IMMATURE_B_LYMPHOCYTE_UP","SYSTEMATIC_NAME":"M13760","ORGANISM":"Mus musculus","PMID":"11779835","AUTHORS":"Hoffmann R,Seidl T,Neeb M,Rolink A,Melchers F","EXACT_SOURCE":"Table 2S: CHGF_SMA_IMM=>4","CHIP":"AFFY_Mu11K","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated during differentiation from small pre-BII to immature B lymphocyte.","DESCRIPTION_FULL":"Gene expression profiles of five consecutive stages of mouse B cell development were generated with high-density oligonucleotide arrays from as few as 2 x 10(4) ex vivo isolated and flow-cytometrically purified cells. Between 2.8% and 6.8% of all genes change on differentiation from one cellular stage to the next by at least twofold. The entire pathway involves differential expression of 10.7% of all genes. Previously known expression patterns of 15 genes (like surrogate light chain, RAG-1/2, MHC class II, mel-14 antigen) are confirmed. The gene expression patterns of the proliferating pre-BI and large pre-BII cells on the one hand, and the resting immature and mature B cells on the other hand, are most similar to each other. Small pre-BII cells display a pattern that is transitional between these two groups. Most of the genes expressed in early precursors are involved in general processes, like protein folding or cell cycle regulation, whereas more mature precursors express genes involved in more specific molecular programs (cell surface receptors, secreted factors, and adhesion molecules, among others). Between 19 and 139 genes share a given expression pattern. Combining knowledge about gene function and expression pattern allows identification of novel candidate genes potentially involved in self-maintenance of pre-BI cells, allelic exclusion and pre-B cell receptor signaling in large pre BII cells, cell-cycle arrest of small pre-BII cells, propensity toward apoptosis or anergization in immature B cells, propensity toward cell division and activation in mature B cells, and stage-specific interactions with stromal cells in the bone marrow."}
{"STANDARD_NAME":"HOFFMANN_SMALL_PRE_BII_TO_IMMATURE_B_LYMPHOCYTE_DN","SYSTEMATIC_NAME":"M10487","ORGANISM":"Mus musculus","PMID":"11779835","AUTHORS":"Hoffmann R,Seidl T,Neeb M,Rolink A,Melchers F","EXACT_SOURCE":"Table 2S: CHGF_SMA_IMM<=4","CHIP":"AFFY_Mu11K","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated during differentiation from small pre-BII to immature B lymphocyte.","DESCRIPTION_FULL":"Gene expression profiles of five consecutive stages of mouse B cell development were generated with high-density oligonucleotide arrays from as few as 2 x 10(4) ex vivo isolated and flow-cytometrically purified cells. Between 2.8% and 6.8% of all genes change on differentiation from one cellular stage to the next by at least twofold. The entire pathway involves differential expression of 10.7% of all genes. Previously known expression patterns of 15 genes (like surrogate light chain, RAG-1/2, MHC class II, mel-14 antigen) are confirmed. The gene expression patterns of the proliferating pre-BI and large pre-BII cells on the one hand, and the resting immature and mature B cells on the other hand, are most similar to each other. Small pre-BII cells display a pattern that is transitional between these two groups. Most of the genes expressed in early precursors are involved in general processes, like protein folding or cell cycle regulation, whereas more mature precursors express genes involved in more specific molecular programs (cell surface receptors, secreted factors, and adhesion molecules, among others). Between 19 and 139 genes share a given expression pattern. Combining knowledge about gene function and expression pattern allows identification of novel candidate genes potentially involved in self-maintenance of pre-BI cells, allelic exclusion and pre-B cell receptor signaling in large pre BII cells, cell-cycle arrest of small pre-BII cells, propensity toward apoptosis or anergization in immature B cells, propensity toward cell division and activation in mature B cells, and stage-specific interactions with stromal cells in the bone marrow."}
{"STANDARD_NAME":"HOFFMANN_IMMATURE_TO_MATURE_B_LYMPHOCYTE_UP","SYSTEMATIC_NAME":"M19976","ORGANISM":"Mus musculus","PMID":"11779835","AUTHORS":"Hoffmann R,Seidl T,Neeb M,Rolink A,Melchers F","EXACT_SOURCE":"Table 2S: CHGF_IMM_MAT>=4","CHIP":"AFFY_Mu11K","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated during differentiation of immature to mature B lymphocyte.","DESCRIPTION_FULL":"Gene expression profiles of five consecutive stages of mouse B cell development were generated with high-density oligonucleotide arrays from as few as 2 x 10(4) ex vivo isolated and flow-cytometrically purified cells. Between 2.8% and 6.8% of all genes change on differentiation from one cellular stage to the next by at least twofold. The entire pathway involves differential expression of 10.7% of all genes. Previously known expression patterns of 15 genes (like surrogate light chain, RAG-1/2, MHC class II, mel-14 antigen) are confirmed. The gene expression patterns of the proliferating pre-BI and large pre-BII cells on the one hand, and the resting immature and mature B cells on the other hand, are most similar to each other. Small pre-BII cells display a pattern that is transitional between these two groups. Most of the genes expressed in early precursors are involved in general processes, like protein folding or cell cycle regulation, whereas more mature precursors express genes involved in more specific molecular programs (cell surface receptors, secreted factors, and adhesion molecules, among others). Between 19 and 139 genes share a given expression pattern. Combining knowledge about gene function and expression pattern allows identification of novel candidate genes potentially involved in self-maintenance of pre-BI cells, allelic exclusion and pre-B cell receptor signaling in large pre BII cells, cell-cycle arrest of small pre-BII cells, propensity toward apoptosis or anergization in immature B cells, propensity toward cell division and activation in mature B cells, and stage-specific interactions with stromal cells in the bone marrow."}
{"STANDARD_NAME":"HOFFMANN_IMMATURE_TO_MATURE_B_LYMPHOCYTE_DN","SYSTEMATIC_NAME":"M4655","ORGANISM":"Mus musculus","PMID":"11779835","AUTHORS":"Hoffmann R,Seidl T,Neeb M,Rolink A,Melchers F","EXACT_SOURCE":"Table 2S: CHGF_IMM_MAT<=-4","CHIP":"AFFY_Mu11K","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated during differentiation of immature to mature B lymphocyte.","DESCRIPTION_FULL":"Gene expression profiles of five consecutive stages of mouse B cell development were generated with high-density oligonucleotide arrays from as few as 2 x 10(4) ex vivo isolated and flow-cytometrically purified cells. Between 2.8% and 6.8% of all genes change on differentiation from one cellular stage to the next by at least twofold. The entire pathway involves differential expression of 10.7% of all genes. Previously known expression patterns of 15 genes (like surrogate light chain, RAG-1/2, MHC class II, mel-14 antigen) are confirmed. The gene expression patterns of the proliferating pre-BI and large pre-BII cells on the one hand, and the resting immature and mature B cells on the other hand, are most similar to each other. Small pre-BII cells display a pattern that is transitional between these two groups. Most of the genes expressed in early precursors are involved in general processes, like protein folding or cell cycle regulation, whereas more mature precursors express genes involved in more specific molecular programs (cell surface receptors, secreted factors, and adhesion molecules, among others). Between 19 and 139 genes share a given expression pattern. Combining knowledge about gene function and expression pattern allows identification of novel candidate genes potentially involved in self-maintenance of pre-BI cells, allelic exclusion and pre-B cell receptor signaling in large pre BII cells, cell-cycle arrest of small pre-BII cells, propensity toward apoptosis or anergization in immature B cells, propensity toward cell division and activation in mature B cells, and stage-specific interactions with stromal cells in the bone marrow."}
{"STANDARD_NAME":"HOFMANN_MYELODYSPLASTIC_SYNDROM_LOW_RISK_UP","SYSTEMATIC_NAME":"M6868","ORGANISM":"Homo sapiens","PMID":"12411319","AUTHORS":"Hofmann WK,de Vos S,Komor M,Hoelzer D,Wachsman W,Koeffler HP","EXACT_SOURCE":"Table 2: Up-regulation","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow hematopoietic stem cells (HSC, CD34+ [GeneID=947]) from patients with low risk of myelodysplastic syndrome (MDS) compared with healthy controls.","DESCRIPTION_FULL":"Gene patterns of expression in purified CD34(+) bone marrow cells from 7 patients with low-risk myelodysplastic syndrome (MDS) and 4 patients with high-risk MDS were compared with expression data from CD34(+) bone marrow cells from 4 healthy control subjects. CD34(+) cells were isolated by magnetic cell separation, and high-density oligonucleotide microarray analysis was performed. For confirmation, the expression of selected genes was analyzed by real-time polymerase chain reaction. Class membership prediction analysis selected 11 genes. Using the expression profile of these genes, we were able to discriminate patients with low-risk from patients with high-risk MDS and both patient groups from the control group by hierarchical clustering (Spearman confidence). The power of these 11 genes was verified by applying the algorithm to an unknown test set containing expression data from 8 additional patients with MDS (3 at low risk, 5 at high risk). Patients at low risk could be distinguished from those at high risk by clustering analysis. In low-risk MDS, we found that the retinoic-acid-induced gene (RAI3), the radiation-inducible, immediate-early response gene (IEX1), and the stress-induced phosphoprotein 1 (STIP1) were down-regulated. These data suggest that CD34(+) cells from patients with low-risk MDS lack defensive proteins, resulting in their susceptibility to cell damage. In summary, we propose that gene expression profiling may have clinical relevance for risk evaluation in MDS at the time of initial diagnosis. Furthermore, this study provides evidence that in MDS, hematopoietic stem cells accumulate defects that prevent normal hematopoiesis."}
{"STANDARD_NAME":"HOFMANN_MYELODYSPLASTIC_SYNDROM_LOW_RISK_DN","SYSTEMATIC_NAME":"M19472","ORGANISM":"Homo sapiens","PMID":"12411319","AUTHORS":"Hofmann WK,de Vos S,Komor M,Hoelzer D,Wachsman W,Koeffler HP","EXACT_SOURCE":"Table 2: Down-regulation","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow hematopoietic stem cells (HSC, CD34+ [GeneID=947]) from patients with low risk of myelodysplastic syndrome (MDS) compared with healthy controls.","DESCRIPTION_FULL":"Gene patterns of expression in purified CD34(+) bone marrow cells from 7 patients with low-risk myelodysplastic syndrome (MDS) and 4 patients with high-risk MDS were compared with expression data from CD34(+) bone marrow cells from 4 healthy control subjects. CD34(+) cells were isolated by magnetic cell separation, and high-density oligonucleotide microarray analysis was performed. For confirmation, the expression of selected genes was analyzed by real-time polymerase chain reaction. Class membership prediction analysis selected 11 genes. Using the expression profile of these genes, we were able to discriminate patients with low-risk from patients with high-risk MDS and both patient groups from the control group by hierarchical clustering (Spearman confidence). The power of these 11 genes was verified by applying the algorithm to an unknown test set containing expression data from 8 additional patients with MDS (3 at low risk, 5 at high risk). Patients at low risk could be distinguished from those at high risk by clustering analysis. In low-risk MDS, we found that the retinoic-acid-induced gene (RAI3), the radiation-inducible, immediate-early response gene (IEX1), and the stress-induced phosphoprotein 1 (STIP1) were down-regulated. These data suggest that CD34(+) cells from patients with low-risk MDS lack defensive proteins, resulting in their susceptibility to cell damage. In summary, we propose that gene expression profiling may have clinical relevance for risk evaluation in MDS at the time of initial diagnosis. Furthermore, this study provides evidence that in MDS, hematopoietic stem cells accumulate defects that prevent normal hematopoiesis."}
{"STANDARD_NAME":"HOFMANN_MYELODYSPLASTIC_SYNDROM_HIGH_RISK_UP","SYSTEMATIC_NAME":"M14215","ORGANISM":"Homo sapiens","PMID":"12411319","AUTHORS":"Hofmann WK,de Vos S,Komor M,Hoelzer D,Wachsman W,Koeffler HP","EXACT_SOURCE":"Table 3: Up-regulation","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow hematopoietic stem cells (HSC, CD34+ [GeneID=947]) from patients with high risk of myelodysplastic syndrome (MDS) compared with healthy controls.","DESCRIPTION_FULL":"Gene patterns of expression in purified CD34(+) bone marrow cells from 7 patients with low-risk myelodysplastic syndrome (MDS) and 4 patients with high-risk MDS were compared with expression data from CD34(+) bone marrow cells from 4 healthy control subjects. CD34(+) cells were isolated by magnetic cell separation, and high-density oligonucleotide microarray analysis was performed. For confirmation, the expression of selected genes was analyzed by real-time polymerase chain reaction. Class membership prediction analysis selected 11 genes. Using the expression profile of these genes, we were able to discriminate patients with low-risk from patients with high-risk MDS and both patient groups from the control group by hierarchical clustering (Spearman confidence). The power of these 11 genes was verified by applying the algorithm to an unknown test set containing expression data from 8 additional patients with MDS (3 at low risk, 5 at high risk). Patients at low risk could be distinguished from those at high risk by clustering analysis. In low-risk MDS, we found that the retinoic-acid-induced gene (RAI3), the radiation-inducible, immediate-early response gene (IEX1), and the stress-induced phosphoprotein 1 (STIP1) were down-regulated. These data suggest that CD34(+) cells from patients with low-risk MDS lack defensive proteins, resulting in their susceptibility to cell damage. In summary, we propose that gene expression profiling may have clinical relevance for risk evaluation in MDS at the time of initial diagnosis. Furthermore, this study provides evidence that in MDS, hematopoietic stem cells accumulate defects that prevent normal hematopoiesis."}
{"STANDARD_NAME":"HOFMANN_MYELODYSPLASTIC_SYNDROM_HIGH_RISK_DN","SYSTEMATIC_NAME":"M5443","ORGANISM":"Homo sapiens","PMID":"12411319","AUTHORS":"Hofmann WK,de Vos S,Komor M,Hoelzer D,Wachsman W,Koeffler HP","EXACT_SOURCE":"Table 3: Down-regulation","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow hematopoietic stem cells (HSC, CD34+ [GeneID=947]) from patients with high risk of myelodysplastic syndrome (MDS) compared with healthy controls.","DESCRIPTION_FULL":"Gene patterns of expression in purified CD34(+) bone marrow cells from 7 patients with low-risk myelodysplastic syndrome (MDS) and 4 patients with high-risk MDS were compared with expression data from CD34(+) bone marrow cells from 4 healthy control subjects. CD34(+) cells were isolated by magnetic cell separation, and high-density oligonucleotide microarray analysis was performed. For confirmation, the expression of selected genes was analyzed by real-time polymerase chain reaction. Class membership prediction analysis selected 11 genes. Using the expression profile of these genes, we were able to discriminate patients with low-risk from patients with high-risk MDS and both patient groups from the control group by hierarchical clustering (Spearman confidence). The power of these 11 genes was verified by applying the algorithm to an unknown test set containing expression data from 8 additional patients with MDS (3 at low risk, 5 at high risk). Patients at low risk could be distinguished from those at high risk by clustering analysis. In low-risk MDS, we found that the retinoic-acid-induced gene (RAI3), the radiation-inducible, immediate-early response gene (IEX1), and the stress-induced phosphoprotein 1 (STIP1) were down-regulated. These data suggest that CD34(+) cells from patients with low-risk MDS lack defensive proteins, resulting in their susceptibility to cell damage. In summary, we propose that gene expression profiling may have clinical relevance for risk evaluation in MDS at the time of initial diagnosis. Furthermore, this study provides evidence that in MDS, hematopoietic stem cells accumulate defects that prevent normal hematopoiesis."}
{"STANDARD_NAME":"HOFMANN_MYELODYSPLASTIC_SYNDROM_RISK_UP","SYSTEMATIC_NAME":"M14742","ORGANISM":"Homo sapiens","PMID":"12411319","AUTHORS":"Hofmann WK,de Vos S,Komor M,Hoelzer D,Wachsman W,Koeffler HP","EXACT_SOURCE":"Table 4: Up-regulation","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow hematopoietic stem cells (HSC, CD34+ [GeneID=947]) from patients with high risk of myelodysplastic syndrom (MDS) compared to the low risk patients.","DESCRIPTION_FULL":"Gene patterns of expression in purified CD34(+) bone marrow cells from 7 patients with low-risk myelodysplastic syndrome (MDS) and 4 patients with high-risk MDS were compared with expression data from CD34(+) bone marrow cells from 4 healthy control subjects. CD34(+) cells were isolated by magnetic cell separation, and high-density oligonucleotide microarray analysis was performed. For confirmation, the expression of selected genes was analyzed by real-time polymerase chain reaction. Class membership prediction analysis selected 11 genes. Using the expression profile of these genes, we were able to discriminate patients with low-risk from patients with high-risk MDS and both patient groups from the control group by hierarchical clustering (Spearman confidence). The power of these 11 genes was verified by applying the algorithm to an unknown test set containing expression data from 8 additional patients with MDS (3 at low risk, 5 at high risk). Patients at low risk could be distinguished from those at high risk by clustering analysis. In low-risk MDS, we found that the retinoic-acid-induced gene (RAI3), the radiation-inducible, immediate-early response gene (IEX1), and the stress-induced phosphoprotein 1 (STIP1) were down-regulated. These data suggest that CD34(+) cells from patients with low-risk MDS lack defensive proteins, resulting in their susceptibility to cell damage. In summary, we propose that gene expression profiling may have clinical relevance for risk evaluation in MDS at the time of initial diagnosis. Furthermore, this study provides evidence that in MDS, hematopoietic stem cells accumulate defects that prevent normal hematopoiesis."}
{"STANDARD_NAME":"HOFMANN_MYELODYSPLASTIC_SYNDROM_RISK_DN","SYSTEMATIC_NAME":"M12153","ORGANISM":"Homo sapiens","PMID":"12411319","AUTHORS":"Hofmann WK,de Vos S,Komor M,Hoelzer D,Wachsman W,Koeffler HP","EXACT_SOURCE":"Table 4: Down-regulation","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow hematopoietic stem cells (HSC, CD34+ [GeneID=947]) from patients with high risk of myelodysplastic syndrom (MDS) compared to the low risk patients.","DESCRIPTION_FULL":"Gene patterns of expression in purified CD34(+) bone marrow cells from 7 patients with low-risk myelodysplastic syndrome (MDS) and 4 patients with high-risk MDS were compared with expression data from CD34(+) bone marrow cells from 4 healthy control subjects. CD34(+) cells were isolated by magnetic cell separation, and high-density oligonucleotide microarray analysis was performed. For confirmation, the expression of selected genes was analyzed by real-time polymerase chain reaction. Class membership prediction analysis selected 11 genes. Using the expression profile of these genes, we were able to discriminate patients with low-risk from patients with high-risk MDS and both patient groups from the control group by hierarchical clustering (Spearman confidence). The power of these 11 genes was verified by applying the algorithm to an unknown test set containing expression data from 8 additional patients with MDS (3 at low risk, 5 at high risk). Patients at low risk could be distinguished from those at high risk by clustering analysis. In low-risk MDS, we found that the retinoic-acid-induced gene (RAI3), the radiation-inducible, immediate-early response gene (IEX1), and the stress-induced phosphoprotein 1 (STIP1) were down-regulated. These data suggest that CD34(+) cells from patients with low-risk MDS lack defensive proteins, resulting in their susceptibility to cell damage. In summary, we propose that gene expression profiling may have clinical relevance for risk evaluation in MDS at the time of initial diagnosis. Furthermore, this study provides evidence that in MDS, hematopoietic stem cells accumulate defects that prevent normal hematopoiesis."}
{"STANDARD_NAME":"LEE_EARLY_T_LYMPHOCYTE_DN","SYSTEMATIC_NAME":"M13767","ORGANISM":"Homo sapiens","PMID":"15210650","AUTHORS":"Lee MS,Hanspers K,Barker CS,Korn AP,McCune JM","EXACT_SOURCE":"Table 3-2S: SOM C6: (SP4 CB4 AB4) vs (ITTP DP)","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated at early stages of progenitor T lymphocyte maturation compared to the late stages.","DESCRIPTION_FULL":"To develop a comprehensive catalogue of phenotypic and functional parameters of human CD4(+) T cell differentiation stages, we have performed microarray gene expression profiling on subpopulations of human thymocytes and circulating naive CD4(+) T cells, including CD3(-)CD4(+)CD8(-) intrathymic T progenitor cells, CD3(int)CD4(+)CD8(+) 'double positive' thymocytes, CD3(high)CD4(+)CD8(-) 'single positive' thymocytes, CD3(+)CD4(+)CD8(-) CD45RA(+)CD62L(+) naive T cells from cord blood and CD3(+)CD4(+)CD8(-) CD45RA(+)CD62L(+) naive T cells from adult blood. These subpopulations were sort-purified to >98% purity and their expressed RNAs were analyzed on Affymetrix Human Genome U133 arrays. Comparison of gene expression signals between these subpopulations and with early passage fetal thymic stromal cultures identify: (i) transcripts that are preferentially expressed in human CD4(+) T cell subpopulations and not in thymic stromal cells; (ii) major shifts in gene expression as progenitor T cells mature into progeny; (iii) preferential expression of transcripts at the progenitor cell stage with plausible relevance to the regulation of expansion and differentiation of these cells; and (iv) preferential expression of potential markers of recent thymic emigrants in naive-phenotype CD4(+) T cells from cord blood. Further evaluation of these findings may lead to a better definition of human thymopoiesis as well as to improved approaches to monitor and to augment the function of this important organ of T cell production."}
{"STANDARD_NAME":"LEE_INTRATHYMIC_T_PROGENITOR","SYSTEMATIC_NAME":"M8213","ORGANISM":"Homo sapiens","PMID":"15210650","AUTHORS":"Lee MS,Hanspers K,Barker CS,Korn AP,McCune JM","EXACT_SOURCE":"Table 3-3S: SOM C2: ITTP vs other","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes enriched in the intrathymic T progenitor (ITTP) cells compared to all other T lymphocyte differentiation stages.","DESCRIPTION_FULL":"To develop a comprehensive catalogue of phenotypic and functional parameters of human CD4(+) T cell differentiation stages, we have performed microarray gene expression profiling on subpopulations of human thymocytes and circulating naive CD4(+) T cells, including CD3(-)CD4(+)CD8(-) intrathymic T progenitor cells, CD3(int)CD4(+)CD8(+) 'double positive' thymocytes, CD3(high)CD4(+)CD8(-) 'single positive' thymocytes, CD3(+)CD4(+)CD8(-) CD45RA(+)CD62L(+) naive T cells from cord blood and CD3(+)CD4(+)CD8(-) CD45RA(+)CD62L(+) naive T cells from adult blood. These subpopulations were sort-purified to >98% purity and their expressed RNAs were analyzed on Affymetrix Human Genome U133 arrays. Comparison of gene expression signals between these subpopulations and with early passage fetal thymic stromal cultures identify: (i) transcripts that are preferentially expressed in human CD4(+) T cell subpopulations and not in thymic stromal cells; (ii) major shifts in gene expression as progenitor T cells mature into progeny; (iii) preferential expression of transcripts at the progenitor cell stage with plausible relevance to the regulation of expansion and differentiation of these cells; and (iv) preferential expression of potential markers of recent thymic emigrants in naive-phenotype CD4(+) T cells from cord blood. Further evaluation of these findings may lead to a better definition of human thymopoiesis as well as to improved approaches to monitor and to augment the function of this important organ of T cell production."}
{"STANDARD_NAME":"LEE_DOUBLE_POLAR_THYMOCYTE","SYSTEMATIC_NAME":"M17534","ORGANISM":"Homo sapiens","PMID":"15210650","AUTHORS":"Lee MS,Hanspers K,Barker CS,Korn AP,McCune JM","EXACT_SOURCE":"Table 3-4S: SOM C3: DP vs other","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes enriched in the double polar (DP) thymocyte compared to all other T lymphocyte differentiation stages.","DESCRIPTION_FULL":"To develop a comprehensive catalogue of phenotypic and functional parameters of human CD4(+) T cell differentiation stages, we have performed microarray gene expression profiling on subpopulations of human thymocytes and circulating naive CD4(+) T cells, including CD3(-)CD4(+)CD8(-) intrathymic T progenitor cells, CD3(int)CD4(+)CD8(+) 'double positive' thymocytes, CD3(high)CD4(+)CD8(-) 'single positive' thymocytes, CD3(+)CD4(+)CD8(-) CD45RA(+)CD62L(+) naive T cells from cord blood and CD3(+)CD4(+)CD8(-) CD45RA(+)CD62L(+) naive T cells from adult blood. These subpopulations were sort-purified to >98% purity and their expressed RNAs were analyzed on Affymetrix Human Genome U133 arrays. Comparison of gene expression signals between these subpopulations and with early passage fetal thymic stromal cultures identify: (i) transcripts that are preferentially expressed in human CD4(+) T cell subpopulations and not in thymic stromal cells; (ii) major shifts in gene expression as progenitor T cells mature into progeny; (iii) preferential expression of transcripts at the progenitor cell stage with plausible relevance to the regulation of expansion and differentiation of these cells; and (iv) preferential expression of potential markers of recent thymic emigrants in naive-phenotype CD4(+) T cells from cord blood. Further evaluation of these findings may lead to a better definition of human thymopoiesis as well as to improved approaches to monitor and to augment the function of this important organ of T cell production."}
{"STANDARD_NAME":"LEE_SP4_THYMOCYTE","SYSTEMATIC_NAME":"M10158","ORGANISM":"Homo sapiens","PMID":"15210650","AUTHORS":"Lee MS,Hanspers K,Barker CS,Korn AP,McCune JM","EXACT_SOURCE":"Table 3-5S: SOM C4: SP4 vs others","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes enriched in the single positive 4 (SP4) thymocytes compared to all other T lymphocyte differentiation stages.","DESCRIPTION_FULL":"To develop a comprehensive catalogue of phenotypic and functional parameters of human CD4(+) T cell differentiation stages, we have performed microarray gene expression profiling on subpopulations of human thymocytes and circulating naive CD4(+) T cells, including CD3(-)CD4(+)CD8(-) intrathymic T progenitor cells, CD3(int)CD4(+)CD8(+) 'double positive' thymocytes, CD3(high)CD4(+)CD8(-) 'single positive' thymocytes, CD3(+)CD4(+)CD8(-) CD45RA(+)CD62L(+) naive T cells from cord blood and CD3(+)CD4(+)CD8(-) CD45RA(+)CD62L(+) naive T cells from adult blood. These subpopulations were sort-purified to >98% purity and their expressed RNAs were analyzed on Affymetrix Human Genome U133 arrays. Comparison of gene expression signals between these subpopulations and with early passage fetal thymic stromal cultures identify: (i) transcripts that are preferentially expressed in human CD4(+) T cell subpopulations and not in thymic stromal cells; (ii) major shifts in gene expression as progenitor T cells mature into progeny; (iii) preferential expression of transcripts at the progenitor cell stage with plausible relevance to the regulation of expansion and differentiation of these cells; and (iv) preferential expression of potential markers of recent thymic emigrants in naive-phenotype CD4(+) T cells from cord blood. Further evaluation of these findings may lead to a better definition of human thymopoiesis as well as to improved approaches to monitor and to augment the function of this important organ of T cell production."}
{"STANDARD_NAME":"LEE_NAIVE_T_LYMPHOCYTE","SYSTEMATIC_NAME":"M12367","ORGANISM":"Homo sapiens","PMID":"15210650","AUTHORS":"Lee MS,Hanspers K,Barker CS,Korn AP,McCune JM","EXACT_SOURCE":"Table 3-6S: (CB4 AB4) vs (ITTP DB SP4)","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes enriched in the naive circulating T lymphocytes compared to the earlier differentiation stages.","DESCRIPTION_FULL":"To develop a comprehensive catalogue of phenotypic and functional parameters of human CD4(+) T cell differentiation stages, we have performed microarray gene expression profiling on subpopulations of human thymocytes and circulating naive CD4(+) T cells, including CD3(-)CD4(+)CD8(-) intrathymic T progenitor cells, CD3(int)CD4(+)CD8(+) 'double positive' thymocytes, CD3(high)CD4(+)CD8(-) 'single positive' thymocytes, CD3(+)CD4(+)CD8(-) CD45RA(+)CD62L(+) naive T cells from cord blood and CD3(+)CD4(+)CD8(-) CD45RA(+)CD62L(+) naive T cells from adult blood. These subpopulations were sort-purified to >98% purity and their expressed RNAs were analyzed on Affymetrix Human Genome U133 arrays. Comparison of gene expression signals between these subpopulations and with early passage fetal thymic stromal cultures identify: (i) transcripts that are preferentially expressed in human CD4(+) T cell subpopulations and not in thymic stromal cells; (ii) major shifts in gene expression as progenitor T cells mature into progeny; (iii) preferential expression of transcripts at the progenitor cell stage with plausible relevance to the regulation of expansion and differentiation of these cells; and (iv) preferential expression of potential markers of recent thymic emigrants in naive-phenotype CD4(+) T cells from cord blood. Further evaluation of these findings may lead to a better definition of human thymopoiesis as well as to improved approaches to monitor and to augment the function of this important organ of T cell production."}
{"STANDARD_NAME":"LEE_DIFFERENTIATING_T_LYMPHOCYTE","SYSTEMATIC_NAME":"M2200","ORGANISM":"Homo sapiens","PMID":"15210650","AUTHORS":"Lee MS,Hanspers K,Barker CS,Korn AP,McCune JM","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes enriched at every T lymphocyte differentiation stage compared to the early passage fetal thymic stromal cultures (TSC).","DESCRIPTION_FULL":"To develop a comprehensive catalogue of phenotypic and functional parameters of human CD4(+) T cell differentiation stages, we have performed microarray gene expression profiling on subpopulations of human thymocytes and circulating naive CD4(+) T cells, including CD3(-)CD4(+)CD8(-) intrathymic T progenitor cells, CD3(int)CD4(+)CD8(+) 'double positive' thymocytes, CD3(high)CD4(+)CD8(-) 'single positive' thymocytes, CD3(+)CD4(+)CD8(-) CD45RA(+)CD62L(+) naive T cells from cord blood and CD3(+)CD4(+)CD8(-) CD45RA(+)CD62L(+) naive T cells from adult blood. These subpopulations were sort-purified to >98% purity and their expressed RNAs were analyzed on Affymetrix Human Genome U133 arrays. Comparison of gene expression signals between these subpopulations and with early passage fetal thymic stromal cultures identify: (i) transcripts that are preferentially expressed in human CD4(+) T cell subpopulations and not in thymic stromal cells; (ii) major shifts in gene expression as progenitor T cells mature into progeny; (iii) preferential expression of transcripts at the progenitor cell stage with plausible relevance to the regulation of expansion and differentiation of these cells; and (iv) preferential expression of potential markers of recent thymic emigrants in naive-phenotype CD4(+) T cells from cord blood. Further evaluation of these findings may lead to a better definition of human thymopoiesis as well as to improved approaches to monitor and to augment the function of this important organ of T cell production."}
{"STANDARD_NAME":"FINAK_BREAST_CANCER_SDPP_SIGNATURE","SYSTEMATIC_NAME":"M12461","ORGANISM":"Homo sapiens","PMID":"18438415","AUTHORS":"Finak G,Bertos N,Pepin F,Sadekova S,Souleimanova M,Zhao H,Chen H,Omeroglu G,Meterissian S,Omeroglu A,Hallett M,Park M","EXACT_SOURCE":"Table 2","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes in the stroma-derived prognostic predictor of breast cancer disease outcome.","DESCRIPTION_FULL":"Although it is increasingly evident that cancer is influenced by signals emanating from tumor stroma, little is known regarding how changes in stromal gene expression affect epithelial tumor progression. We used laser capture microdissection to compare gene expression profiles of tumor stroma from 53 primary breast tumors and derived signatures strongly associated with clinical outcome. We present a new stroma-derived prognostic predictor (SDPP) that stratifies disease outcome independently of standard clinical prognostic factors and published expression-based predictors. The SDPP predicts outcome in several published whole tumor-derived expression data sets, identifies poor-outcome individuals from multiple clinical subtypes, including lymph node-negative tumors, and shows increased accuracy with respect to previously published predictors, especially for HER2-positive tumors. Prognostic power increases substantially when the predictor is combined with existing outcome predictors. Genes represented in the SDPP reveal the strong prognostic capacity of differential immune responses as well as angiogenic and hypoxic responses, highlighting the importance of stromal biology in tumor progression."}
{"STANDARD_NAME":"SHEDDEN_LUNG_CANCER_GOOD_SURVIVAL_A4","SYSTEMATIC_NAME":"M12824","ORGANISM":"Homo sapiens","PMID":"18641660","AUTHORS":"Director's Challenge Consortium for the Molecular Classification of Lung Adenocarcinoma,Shedden K,Taylor JM,Enkemann SA,Tsao MS,Yeatman TJ,Gerald WL,Eschrich S,Jurisica I,Giordano TJ,Misek DE,Chang AC,Zhu CQ,Strumpf D,Hanash S,Shepherd FA,Ding K,Seymour L,Naoki K,Pennell N,Weir B,Verhaak R,Ladd-Acosta C,Golub T,Gruidl M,Sharma A,Szoke J,Zakowski M,Rusch V,Kris M,Viale A,Motoi N,Travis W,Conley B,Seshan VE,Meyerson M,Kuick R,Dobbin KK,Lively T,Jacobson JW,Beer DG","EXACT_SOURCE":"Cluster 4 of method A","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster 4 of method A: up-regulation of these genes in patients with non-small cell lung cancer (NSCLC) predicts good survival outcome.","DESCRIPTION_FULL":"Although prognostic gene expression signatures for survival in early-stage lung cancer have been proposed, for clinical application, it is critical to establish their performance across different subject populations and in different laboratories. Here we report a large, training-testing, multi-site, blinded validation study to characterize the performance of several prognostic models based on gene expression for 442 lung adenocarcinomas. The hypotheses proposed examined whether microarray measurements of gene expression either alone or combined with basic clinical covariates (stage, age, sex) could be used to predict overall survival in lung cancer subjects. Several models examined produced risk scores that substantially correlated with actual subject outcome. Most methods performed better with clinical data, supporting the combined use of clinical and molecular information when building prognostic models for early-stage lung cancer. This study also provides the largest available set of microarray data with extensive pathological and clinical annotation for lung adenocarcinomas."}
{"STANDARD_NAME":"BRUNEAU_SEPTATION_ATRIAL","SYSTEMATIC_NAME":"M5223","ORGANISM":"Homo sapiens","PMID":"18288184","AUTHORS":"Bruneau BG","EXACT_SOURCE":"Fig. 3: Atrial septation","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes for which mutations result in atrial septation defects, a major class of congenital heart disease.","DESCRIPTION_FULL":"Congenital heart disease is the leading cause of infant morbidity in the Western world, but only in the past ten years has its aetiology been understood. Recent studies have uncovered the genetic basis for some common forms of the disease and provide new insight into how the heart develops and how dysregulation of heart development leads to disease."}
{"STANDARD_NAME":"SHEDDEN_LUNG_CANCER_GOOD_SURVIVAL_A5","SYSTEMATIC_NAME":"M12001","ORGANISM":"Homo sapiens","PMID":"18641660","AUTHORS":"Director's Challenge Consortium for the Molecular Classification of Lung Adenocarcinoma,Shedden K,Taylor JM,Enkemann SA,Tsao MS,Yeatman TJ,Gerald WL,Eschrich S,Jurisica I,Giordano TJ,Misek DE,Chang AC,Zhu CQ,Strumpf D,Hanash S,Shepherd FA,Ding K,Seymour L,Naoki K,Pennell N,Weir B,Verhaak R,Ladd-Acosta C,Golub T,Gruidl M,Sharma A,Szoke J,Zakowski M,Rusch V,Kris M,Viale A,Motoi N,Travis W,Conley B,Seshan VE,Meyerson M,Kuick R,Dobbin KK,Lively T,Jacobson JW,Beer DG","EXACT_SOURCE":"Cluster 5 of method A","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster 5 of method A: up-regulation of these genes in patients with non-small cell lung cancer (NSCLC) predicts good survival outcome.","DESCRIPTION_FULL":"Although prognostic gene expression signatures for survival in early-stage lung cancer have been proposed, for clinical application, it is critical to establish their performance across different subject populations and in different laboratories. Here we report a large, training-testing, multi-site, blinded validation study to characterize the performance of several prognostic models based on gene expression for 442 lung adenocarcinomas. The hypotheses proposed examined whether microarray measurements of gene expression either alone or combined with basic clinical covariates (stage, age, sex) could be used to predict overall survival in lung cancer subjects. Several models examined produced risk scores that substantially correlated with actual subject outcome. Most methods performed better with clinical data, supporting the combined use of clinical and molecular information when building prognostic models for early-stage lung cancer. This study also provides the largest available set of microarray data with extensive pathological and clinical annotation for lung adenocarcinomas."}
{"STANDARD_NAME":"BRUNEAU_SEPTATION_VENTRICULAR","SYSTEMATIC_NAME":"M11865","ORGANISM":"Homo sapiens","PMID":"18288184","AUTHORS":"Bruneau BG","EXACT_SOURCE":"Fig. 3: Ventricular septation and atrioventricular cushion formation","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes for which mutations result in developmental defects in ventricular septation and atrioventricular cushion formation, a major class of congenital heart disease.","DESCRIPTION_FULL":"Congenital heart disease is the leading cause of infant morbidity in the Western world, but only in the past ten years has its aetiology been understood. Recent studies have uncovered the genetic basis for some common forms of the disease and provide new insight into how the heart develops and how dysregulation of heart development leads to disease."}
{"STANDARD_NAME":"BRUNEAU_HEART_GREAT_VESSELS_AND_VALVULOGENESIS","SYSTEMATIC_NAME":"M9884","ORGANISM":"Homo sapiens","PMID":"18288184","AUTHORS":"Bruneau BG","EXACT_SOURCE":"Fig. 3: Great vessel formation and valvulogenesis","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes for which mutations result in developmental defects in the great vessels formation and valvulogenesis, a major class of congenital heart disease.","DESCRIPTION_FULL":"Congenital heart disease is the leading cause of infant morbidity in the Western world, but only in the past ten years has its aetiology been understood. Recent studies have uncovered the genetic basis for some common forms of the disease and provide new insight into how the heart develops and how dysregulation of heart development leads to disease."}
{"STANDARD_NAME":"MELLMAN_TUT1_TARGETS_DN","SYSTEMATIC_NAME":"M16335","ORGANISM":"Homo sapiens","PMID":"18288197","AUTHORS":"Mellman DL,Gonzales ML,Song C,Barlow CA,Wang P,Kendziorski C,Anderson RA","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in HEK293 cells (embryo kidney) after knockdown of TUT1 [GeneID=64852] by RNAi.","DESCRIPTION_FULL":"Phosphoinositides are a family of lipid signalling molecules that regulate many cellular functions in eukaryotes. Phosphatidylinositol-4,5-bisphosphate (PtdIns4,5P2), the central component in the phosphoinositide signalling circuitry, is generated primarily by type I phosphatidylinositol 4-phosphate 5-kinases (PIPKIalpha, PIPKIbeta and PIPKIgamma). In addition to functions in the cytosol, phosphoinositides are present in the nucleus, where they modulate several functions; however, the mechanism by which they directly regulate nuclear functions remains unknown. PIPKIs regulate cellular functions through interactions with protein partners, often PtdIns4,5P2 effectors, that target PIPKIs to discrete subcellular compartments, resulting in the spatial and temporal generation of PtdIns4,5P2 required for the regulation of specific signalling pathways. Therefore, to determine roles for nuclear PtdIns4,5P2 we set out to identify proteins that interacted with the nuclear PIPK, PIPKIalpha. Here we show that PIPKIalpha co-localizes at nuclear speckles and interacts with a newly identified non-canonical poly(A) polymerase, which we have termed Star-PAP (nuclear speckle targeted PIPKIalpha regulated-poly(A) polymerase) and that the activity of Star-PAP can be specifically regulated by PtdIns4,5P2. Star-PAP and PIPKIalpha function together in a complex to control the expression of select mRNAs, including the transcript encoding the key cytoprotective enzyme haem oxygenase-1 (refs 8, 9) and other oxidative stress response genes by regulating the 3'-end formation of their mRNAs. Taken together, the data demonstrate a model by which phosphoinositide signalling works in tandem with complement pathways to regulate the activity of Star-PAP and the subsequent biosynthesis of its target mRNA. The results reveal a mechanism for the integration of nuclear phosphoinositide signals and a method for regulating gene expression."}
{"STANDARD_NAME":"SHEDDEN_LUNG_CANCER_GOOD_SURVIVAL_A12","SYSTEMATIC_NAME":"M2429","ORGANISM":"Homo sapiens","PMID":"18641660","AUTHORS":"Director's Challenge Consortium for the Molecular Classification of Lung Adenocarcinoma,Shedden K,Taylor JM,Enkemann SA,Tsao MS,Yeatman TJ,Gerald WL,Eschrich S,Jurisica I,Giordano TJ,Misek DE,Chang AC,Zhu CQ,Strumpf D,Hanash S,Shepherd FA,Ding K,Seymour L,Naoki K,Pennell N,Weir B,Verhaak R,Ladd-Acosta C,Golub T,Gruidl M,Sharma A,Szoke J,Zakowski M,Rusch V,Kris M,Viale A,Motoi N,Travis W,Conley B,Seshan VE,Meyerson M,Kuick R,Dobbin KK,Lively T,Jacobson JW,Beer DG","EXACT_SOURCE":"Cluster 12 of method A","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster 12 of method A: up-regulation of these genes in patients with non-small cell lung cancer (NSCLC) predicts good survival outcome.","DESCRIPTION_FULL":"Although prognostic gene expression signatures for survival in early-stage lung cancer have been proposed, for clinical application, it is critical to establish their performance across different subject populations and in different laboratories. Here we report a large, training-testing, multi-site, blinded validation study to characterize the performance of several prognostic models based on gene expression for 442 lung adenocarcinomas. The hypotheses proposed examined whether microarray measurements of gene expression either alone or combined with basic clinical covariates (stage, age, sex) could be used to predict overall survival in lung cancer subjects. Several models examined produced risk scores that substantially correlated with actual subject outcome. Most methods performed better with clinical data, supporting the combined use of clinical and molecular information when building prognostic models for early-stage lung cancer. This study also provides the largest available set of microarray data with extensive pathological and clinical annotation for lung adenocarcinomas."}
{"STANDARD_NAME":"MCMURRAY_TP53_HRAS_COOPERATION_RESPONSE_UP","SYSTEMATIC_NAME":"M7034","ORGANISM":"Mus musculus","PMID":"18500333","AUTHORS":"McMurray HR,Sampson ER,Compitello G,Kinsey C,Newman L,Smith B,Chen SR,Klebanov L,Salzman P,Yakovlev A,Land H","GEOID":"GSE9199","EXACT_SOURCE":"Table 1S: mp53/Ras vs. YAMC, norm Data >1","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Up-regulated 'cooperation response genes': responded synergystically to the combination of mutant TP53 and HRAS [GeneID=7157;3265] in YAMC cells (colon).","DESCRIPTION_FULL":"Understanding the molecular underpinnings of cancer is of critical importance to the development of targeted intervention strategies. Identification of such targets, however, is notoriously difficult and unpredictable. Malignant cell transformation requires the cooperation of a few oncogenic mutations that cause substantial reorganization of many cell features and induce complex changes in gene expression patterns. Genes critical to this multifaceted cellular phenotype have therefore only been identified after signalling pathway analysis or on an ad hoc basis. Our observations that cell transformation by cooperating oncogenic lesions depends on synergistic modulation of downstream signalling circuitry suggest that malignant transformation is a highly cooperative process, involving synergy at multiple levels of regulation, including gene expression. Here we show that a large proportion of genes controlled synergistically by loss-of-function p53 and Ras activation are critical to the malignant state of murine and human colon cells. Notably, 14 out of 24 'cooperation response genes' were found to contribute to tumour formation in gene perturbation experiments. In contrast, only 1 in 14 perturbations of the genes responding in a non-synergistic manner had a similar effect. Synergistic control of gene expression by oncogenic mutations thus emerges as an underlying key to malignancy, and provides an attractive rationale for identifying intervention targets in gene networks downstream of oncogenic gain- and loss-of-function mutations."}
{"STANDARD_NAME":"MCMURRAY_TP53_HRAS_COOPERATION_RESPONSE_DN","SYSTEMATIC_NAME":"M9325","ORGANISM":"Mus musculus","PMID":"18500333","AUTHORS":"McMurray HR,Sampson ER,Compitello G,Kinsey C,Newman L,Smith B,Chen SR,Klebanov L,Salzman P,Yakovlev A,Land H","GEOID":"GSE9199","EXACT_SOURCE":"Table 1S: mp53/Ras vs. YAMC, norm Data < 1","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated 'cooperation response genes': responded synergystically to the combination of mutant TP53 and HRAS [GeneID=7157;3265] in YAMC cells (colon).","DESCRIPTION_FULL":"Understanding the molecular underpinnings of cancer is of critical importance to the development of targeted intervention strategies. Identification of such targets, however, is notoriously difficult and unpredictable. Malignant cell transformation requires the cooperation of a few oncogenic mutations that cause substantial reorganization of many cell features and induce complex changes in gene expression patterns. Genes critical to this multifaceted cellular phenotype have therefore only been identified after signalling pathway analysis or on an ad hoc basis. Our observations that cell transformation by cooperating oncogenic lesions depends on synergistic modulation of downstream signalling circuitry suggest that malignant transformation is a highly cooperative process, involving synergy at multiple levels of regulation, including gene expression. Here we show that a large proportion of genes controlled synergistically by loss-of-function p53 and Ras activation are critical to the malignant state of murine and human colon cells. Notably, 14 out of 24 'cooperation response genes' were found to contribute to tumour formation in gene perturbation experiments. In contrast, only 1 in 14 perturbations of the genes responding in a non-synergistic manner had a similar effect. Synergistic control of gene expression by oncogenic mutations thus emerges as an underlying key to malignancy, and provides an attractive rationale for identifying intervention targets in gene networks downstream of oncogenic gain- and loss-of-function mutations."}
{"STANDARD_NAME":"MIKKELSEN_PLURIPOTENT_STATE_UP","SYSTEMATIC_NAME":"M1922","ORGANISM":"Mus musculus","PMID":"18509334","AUTHORS":"Mikkelsen TS,Hanna J,Zhang X,Ku M,Wernig M,Schorderet P,Bernstein BE,Jaenisch R,Lander ES,Meissner A","GEOID":"GSE10781","EXACT_SOURCE":"Fig. 1: UP in iPS/ES","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in the induced pluripotent cells (iPS) and embryonic stem cells (ES) compared to the parental lineage-committed and partially reprogrammed cell lines.","DESCRIPTION_FULL":"Somatic cells can be reprogrammed to a pluripotent state through the ectopic expression of defined transcription factors. Understanding the mechanism and kinetics of this transformation may shed light on the nature of developmental potency and suggest strategies with improved efficiency or safety. Here we report an integrative genomic analysis of reprogramming of mouse fibroblasts and B lymphocytes. Lineage-committed cells show a complex response to the ectopic expression involving induction of genes downstream of individual reprogramming factors. Fully reprogrammed cells show gene expression and epigenetic states that are highly similar to embryonic stem cells. In contrast, stable partially reprogrammed cell lines show reactivation of a distinctive subset of stem-cell-related genes, incomplete repression of lineage-specifying transcription factors, and DNA hypermethylation at pluripotency-related loci. These observations suggest that some cells may become trapped in partially reprogrammed states owing to incomplete repression of transcription factors, and that DNA de-methylation is an inefficient step in the transition to pluripotency. We demonstrate that RNA inhibition of transcription factors can facilitate reprogramming, and that treatment with DNA methyltransferase inhibitors can improve the overall efficiency of the reprogramming process."}
{"STANDARD_NAME":"MIKKELSEN_PLURIPOTENT_STATE_DN","SYSTEMATIC_NAME":"M1923","ORGANISM":"Mus musculus","PMID":"18509334","AUTHORS":"Mikkelsen TS,Hanna J,Zhang X,Ku M,Wernig M,Schorderet P,Bernstein BE,Jaenisch R,Lander ES,Meissner A","GEOID":"GSE10781","EXACT_SOURCE":"Fig. 1: DOWN in iPS/ES","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in the induced pluripotent cells (iPS) and embryonic stem cells (ES) compared to the parental lineage-committed and partially reprogrammed cell lines.","DESCRIPTION_FULL":"Somatic cells can be reprogrammed to a pluripotent state through the ectopic expression of defined transcription factors. Understanding the mechanism and kinetics of this transformation may shed light on the nature of developmental potency and suggest strategies with improved efficiency or safety. Here we report an integrative genomic analysis of reprogramming of mouse fibroblasts and B lymphocytes. Lineage-committed cells show a complex response to the ectopic expression involving induction of genes downstream of individual reprogramming factors. Fully reprogrammed cells show gene expression and epigenetic states that are highly similar to embryonic stem cells. In contrast, stable partially reprogrammed cell lines show reactivation of a distinctive subset of stem-cell-related genes, incomplete repression of lineage-specifying transcription factors, and DNA hypermethylation at pluripotency-related loci. These observations suggest that some cells may become trapped in partially reprogrammed states owing to incomplete repression of transcription factors, and that DNA de-methylation is an inefficient step in the transition to pluripotency. We demonstrate that RNA inhibition of transcription factors can facilitate reprogramming, and that treatment with DNA methyltransferase inhibitors can improve the overall efficiency of the reprogramming process."}
{"STANDARD_NAME":"MIKKELSEN_DEDIFFERENTIATED_STATE_UP","SYSTEMATIC_NAME":"M1924","ORGANISM":"Mus musculus","PMID":"18509334","AUTHORS":"Mikkelsen TS,Hanna J,Zhang X,Ku M,Wernig M,Schorderet P,Bernstein BE,Jaenisch R,Lander ES,Meissner A","GEOID":"GSE10871","EXACT_SOURCE":"Fig. 1: UP in partially reprogrammed iPS/ES","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in partially reprogrammed and pluripotent cell populations (induced, iPS; and embryonic stem cells, ES) compared to parental lineage-commited cell lines.","DESCRIPTION_FULL":"Somatic cells can be reprogrammed to a pluripotent state through the ectopic expression of defined transcription factors. Understanding the mechanism and kinetics of this transformation may shed light on the nature of developmental potency and suggest strategies with improved efficiency or safety. Here we report an integrative genomic analysis of reprogramming of mouse fibroblasts and B lymphocytes. Lineage-committed cells show a complex response to the ectopic expression involving induction of genes downstream of individual reprogramming factors. Fully reprogrammed cells show gene expression and epigenetic states that are highly similar to embryonic stem cells. In contrast, stable partially reprogrammed cell lines show reactivation of a distinctive subset of stem-cell-related genes, incomplete repression of lineage-specifying transcription factors, and DNA hypermethylation at pluripotency-related loci. These observations suggest that some cells may become trapped in partially reprogrammed states owing to incomplete repression of transcription factors, and that DNA de-methylation is an inefficient step in the transition to pluripotency. We demonstrate that RNA inhibition of transcription factors can facilitate reprogramming, and that treatment with DNA methyltransferase inhibitors can improve the overall efficiency of the reprogramming process."}
{"STANDARD_NAME":"ELLWOOD_MYC_TARGETS_UP","SYSTEMATIC_NAME":"M2607","ORGANISM":"Mus musculus","PMID":"14522256","AUTHORS":"Ellwood-Yen K,Graeber TG,Wongvipat J,Iruela-Arispe ML,Zhang J,Matusik R,Thomas GV,Sawyers CL","EXACT_SOURCE":"Table 1S: rank <= 60, direction = up","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in transgenic mice expressing human MYC [GeneID=4609] in prostate.","DESCRIPTION_FULL":"Increased Myc gene copy number is observed in human prostate cancer. To define Myc's functional role, we generated transgenic mice expressing human c-Myc in the mouse prostate. All mice developed murine prostatic intraepithelial neoplasia followed by invasive adenocarcinoma. Microarray-based expression profiling identified a Myc prostate cancer expression signature, which included the putative human tumor suppressor NXK3.1. Human prostate tumor databases revealed modules of human genes that varied in concert with the Myc prostate cancer signature. This module includes the Pim-1 kinase, a gene known to cooperate with Myc in tumorigenesis, and defines a subset of human, Myc-like human cancers. This approach illustrates how genomic technologies can be applied to mouse cancer models to guide evaluation of human tumor databases."}
{"STANDARD_NAME":"ELLWOOD_MYC_TARGETS_DN","SYSTEMATIC_NAME":"M6951","ORGANISM":"Mus musculus","PMID":"14522256","AUTHORS":"Ellwood-Yen K,Graeber TG,Wongvipat J,Iruela-Arispe ML,Zhang J,Matusik R,Thomas GV,Sawyers CL","EXACT_SOURCE":"Table 1S: rank <= 60, direction = down","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in transgenic mice expressing human MYC [GeneID=4609] in prostate.","DESCRIPTION_FULL":"Increased Myc gene copy number is observed in human prostate cancer. To define Myc's functional role, we generated transgenic mice expressing human c-Myc in the mouse prostate. All mice developed murine prostatic intraepithelial neoplasia followed by invasive adenocarcinoma. Microarray-based expression profiling identified a Myc prostate cancer expression signature, which included the putative human tumor suppressor NXK3.1. Human prostate tumor databases revealed modules of human genes that varied in concert with the Myc prostate cancer signature. This module includes the Pim-1 kinase, a gene known to cooperate with Myc in tumorigenesis, and defines a subset of human, Myc-like human cancers. This approach illustrates how genomic technologies can be applied to mouse cancer models to guide evaluation of human tumor databases."}
{"STANDARD_NAME":"SHAFFER_IRF4_MULTIPLE_MYELOMA_PROGRAM","SYSTEMATIC_NAME":"M16679","ORGANISM":"Homo sapiens","PMID":"18568025","AUTHORS":"Shaffer AL,Emre NC,Lamy L,Ngo VN,Wright G,Xiao W,Powell J,Dave S,Yu X,Zhao H,Zeng Y,Chen B,Epstein J,Staudt LM","GEOID":"GSE9367,GSE9067,GSE8958","EXACT_SOURCE":"Table 2S: ChIP-chip + gene expression = X","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Direct targets of IRF4 [GeneID=3662] that constitute a multiple myeloma program.","DESCRIPTION_FULL":"The transcription factor IRF4 (interferon regulatory factor 4) is required during an immune response for lymphocyte activation and the generation of immunoglobulin-secreting plasma cells. Multiple myeloma, a malignancy of plasma cells, has a complex molecular aetiology with several subgroups defined by gene expression profiling and recurrent chromosomal translocations. Moreover, the malignant clone can sustain multiple oncogenic lesions, accumulating genetic damage as the disease progresses. Current therapies for myeloma can extend survival but are not curative. Hence, new therapeutic strategies are needed that target molecular pathways shared by all subtypes of myeloma. Here we show, using a loss-of-function, RNA-interference-based genetic screen, that IRF4 inhibition is toxic to myeloma cell lines, regardless of transforming oncogenic mechanism. Gene expression profiling and genome-wide chromatin immunoprecipitation analysis uncovered an extensive network of IRF4 target genes and identified MYC as a direct target of IRF4 in activated B cells and myeloma. Unexpectedly, IRF4 was itself a direct target of MYC transactivation, generating an autoregulatory circuit in myeloma cells. Although IRF4 is not genetically altered in most myelomas, they are nonetheless addicted to an aberrant IRF4 regulatory network that fuses the gene expression programmes of normal plasma cells and activated B cells."}
{"STANDARD_NAME":"SHAFFER_IRF4_TARGETS_IN_MYELOMA_VS_MATURE_B_LYMPHOCYTE","SYSTEMATIC_NAME":"M5784","ORGANISM":"Homo sapiens","PMID":"18568025","AUTHORS":"Shaffer AL,Emre NC,Lamy L,Ngo VN,Wright G,Xiao W,Powell J,Dave S,Yu X,Zhao H,Zeng Y,Chen B,Epstein J,Staudt LM","GEOID":"GSE9031","EXACT_SOURCE":"Fig. 4bS: Primary myeloma > mature B cell","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"IRF4 [GeneID=3662] target genes up-regulated in primary myeloma vs. mature B lymphocytes.","DESCRIPTION_FULL":"The transcription factor IRF4 (interferon regulatory factor 4) is required during an immune response for lymphocyte activation and the generation of immunoglobulin-secreting plasma cells. Multiple myeloma, a malignancy of plasma cells, has a complex molecular aetiology with several subgroups defined by gene expression profiling and recurrent chromosomal translocations. Moreover, the malignant clone can sustain multiple oncogenic lesions, accumulating genetic damage as the disease progresses. Current therapies for myeloma can extend survival but are not curative. Hence, new therapeutic strategies are needed that target molecular pathways shared by all subtypes of myeloma. Here we show, using a loss-of-function, RNA-interference-based genetic screen, that IRF4 inhibition is toxic to myeloma cell lines, regardless of transforming oncogenic mechanism. Gene expression profiling and genome-wide chromatin immunoprecipitation analysis uncovered an extensive network of IRF4 target genes and identified MYC as a direct target of IRF4 in activated B cells and myeloma. Unexpectedly, IRF4 was itself a direct target of MYC transactivation, generating an autoregulatory circuit in myeloma cells. Although IRF4 is not genetically altered in most myelomas, they are nonetheless addicted to an aberrant IRF4 regulatory network that fuses the gene expression programmes of normal plasma cells and activated B cells."}
{"STANDARD_NAME":"SHAFFER_IRF4_TARGETS_IN_PLASMA_CELL_VS_MATURE_B_LYMPHOCYTE","SYSTEMATIC_NAME":"M12037","ORGANISM":"Homo sapiens","PMID":"18568025","AUTHORS":"Shaffer AL,Emre NC,Lamy L,Ngo VN,Wright G,Xiao W,Powell J,Dave S,Yu X,Zhao H,Zeng Y,Chen B,Epstein J,Staudt LM","GEOID":"GSE8959","EXACT_SOURCE":"Fig. 4bS: Plasma cell > mature B cell","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"IRF4 [GeneID=3662] target genes up-regulated in plasma cells compared to mature B lymphocytes.","DESCRIPTION_FULL":"The transcription factor IRF4 (interferon regulatory factor 4) is required during an immune response for lymphocyte activation and the generation of immunoglobulin-secreting plasma cells. Multiple myeloma, a malignancy of plasma cells, has a complex molecular aetiology with several subgroups defined by gene expression profiling and recurrent chromosomal translocations. Moreover, the malignant clone can sustain multiple oncogenic lesions, accumulating genetic damage as the disease progresses. Current therapies for myeloma can extend survival but are not curative. Hence, new therapeutic strategies are needed that target molecular pathways shared by all subtypes of myeloma. Here we show, using a loss-of-function, RNA-interference-based genetic screen, that IRF4 inhibition is toxic to myeloma cell lines, regardless of transforming oncogenic mechanism. Gene expression profiling and genome-wide chromatin immunoprecipitation analysis uncovered an extensive network of IRF4 target genes and identified MYC as a direct target of IRF4 in activated B cells and myeloma. Unexpectedly, IRF4 was itself a direct target of MYC transactivation, generating an autoregulatory circuit in myeloma cells. Although IRF4 is not genetically altered in most myelomas, they are nonetheless addicted to an aberrant IRF4 regulatory network that fuses the gene expression programmes of normal plasma cells and activated B cells."}
{"STANDARD_NAME":"SHAFFER_IRF4_TARGETS_IN_ACTIVATED_B_LYMPHOCYTE","SYSTEMATIC_NAME":"M11189","ORGANISM":"Homo sapiens","PMID":"18568025","AUTHORS":"Shaffer AL,Emre NC,Lamy L,Ngo VN,Wright G,Xiao W,Powell J,Dave S,Yu X,Zhao H,Zeng Y,Chen B,Epstein J,Staudt LM","GEOID":"GSE9030,GSE9119","EXACT_SOURCE":"Fig. 4bS: Activated B cell > resting B cell","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"IRF4 [GeneID=3662] target genes induced after activation of primary B lymphocytes by anti-IgM crosslinking.","DESCRIPTION_FULL":"The transcription factor IRF4 (interferon regulatory factor 4) is required during an immune response for lymphocyte activation and the generation of immunoglobulin-secreting plasma cells. Multiple myeloma, a malignancy of plasma cells, has a complex molecular aetiology with several subgroups defined by gene expression profiling and recurrent chromosomal translocations. Moreover, the malignant clone can sustain multiple oncogenic lesions, accumulating genetic damage as the disease progresses. Current therapies for myeloma can extend survival but are not curative. Hence, new therapeutic strategies are needed that target molecular pathways shared by all subtypes of myeloma. Here we show, using a loss-of-function, RNA-interference-based genetic screen, that IRF4 inhibition is toxic to myeloma cell lines, regardless of transforming oncogenic mechanism. Gene expression profiling and genome-wide chromatin immunoprecipitation analysis uncovered an extensive network of IRF4 target genes and identified MYC as a direct target of IRF4 in activated B cells and myeloma. Unexpectedly, IRF4 was itself a direct target of MYC transactivation, generating an autoregulatory circuit in myeloma cells. Although IRF4 is not genetically altered in most myelomas, they are nonetheless addicted to an aberrant IRF4 regulatory network that fuses the gene expression programmes of normal plasma cells and activated B cells."}
{"STANDARD_NAME":"SHAFFER_IRF4_TARGETS_IN_ACTIVATED_DENDRITIC_CELL","SYSTEMATIC_NAME":"M14970","ORGANISM":"Homo sapiens","PMID":"18568025","AUTHORS":"Shaffer AL,Emre NC,Lamy L,Ngo VN,Wright G,Xiao W,Powell J,Dave S,Yu X,Zhao H,Zeng Y,Chen B,Epstein J,Staudt LM","EXACT_SOURCE":"Fig. 4bS: Plasmacytoid DC > monocyte","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"IRF4 [GeneID=3662] target genes up-regulated in plasmacytoid dendritic cells compared to monocytes.","DESCRIPTION_FULL":"The transcription factor IRF4 (interferon regulatory factor 4) is required during an immune response for lymphocyte activation and the generation of immunoglobulin-secreting plasma cells. Multiple myeloma, a malignancy of plasma cells, has a complex molecular aetiology with several subgroups defined by gene expression profiling and recurrent chromosomal translocations. Moreover, the malignant clone can sustain multiple oncogenic lesions, accumulating genetic damage as the disease progresses. Current therapies for myeloma can extend survival but are not curative. Hence, new therapeutic strategies are needed that target molecular pathways shared by all subtypes of myeloma. Here we show, using a loss-of-function, RNA-interference-based genetic screen, that IRF4 inhibition is toxic to myeloma cell lines, regardless of transforming oncogenic mechanism. Gene expression profiling and genome-wide chromatin immunoprecipitation analysis uncovered an extensive network of IRF4 target genes and identified MYC as a direct target of IRF4 in activated B cells and myeloma. Unexpectedly, IRF4 was itself a direct target of MYC transactivation, generating an autoregulatory circuit in myeloma cells. Although IRF4 is not genetically altered in most myelomas, they are nonetheless addicted to an aberrant IRF4 regulatory network that fuses the gene expression programmes of normal plasma cells and activated B cells."}
{"STANDARD_NAME":"MEISSNER_ES_ICP_WITH_H3K4ME3","SYSTEMATIC_NAME":"M1929","ORGANISM":"Mus musculus","PMID":"18600261","AUTHORS":"Meissner A,Mikkelsen TS,Gu H,Wernig M,Hanna J,Sivachenko A,Zhang X,Bernstein BE,Nusbaum C,Jaffe DB,Gnirke A,Jaenisch R,Lander ES","GEOID":"GSE11172","EXACT_SOURCE":"Table 2S: ES: ICP, K4me3","CHIP":"Mouse_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with intermediate-CpG-density promoters (ICP) bearing histone H3 trimethylation mark at K4 (H3K4me3) in ES cells (embryonic stem).","DESCRIPTION_FULL":"DNA methylation is essential for normal development and has been implicated in many pathologies including cancer. Our knowledge about the genome-wide distribution of DNA methylation, how it changes during cellular differentiation and how it relates to histone methylation and other chromatin modifications in mammals remains limited. Here we report the generation and analysis of genome-scale DNA methylation profiles at nucleotide resolution in mammalian cells. Using high-throughput reduced representation bisulphite sequencing and single-molecule-based sequencing, we generated DNA methylation maps covering most CpG islands, and a representative sampling of conserved non-coding elements, transposons and other genomic features, for mouse embryonic stem cells, embryonic-stem-cell-derived and primary neural cells, and eight other primary tissues. Several key findings emerge from the data. First, DNA methylation patterns are better correlated with histone methylation patterns than with the underlying genome sequence context. Second, methylation of CpGs are dynamic epigenetic marks that undergo extensive changes during cellular differentiation, particularly in regulatory regions outside of core promoters. Third, analysis of embryonic-stem-cell-derived and primary cells reveals that 'weak' CpG islands associated with a specific set of developmentally regulated genes undergo aberrant hypermethylation during extended proliferation in vitro, in a pattern reminiscent of that reported in some primary tumours. More generally, the results establish reduced representation bisulphite sequencing as a powerful technology for epigenetic profiling of cell populations relevant to developmental biology, cancer and regenerative medicine."}
{"STANDARD_NAME":"MEISSNER_ES_ICP_WITH_H3K4ME3_AND_H3K27ME3","SYSTEMATIC_NAME":"M1931","ORGANISM":"Mus musculus","PMID":"18600261","AUTHORS":"Meissner A,Mikkelsen TS,Gu H,Wernig M,Hanna J,Sivachenko A,Zhang X,Bernstein BE,Nusbaum C,Jaffe DB,Gnirke A,Jaenisch R,Lander ES","GEOID":"GSE11172","EXACT_SOURCE":"Table 2S: ES: ICP, K4me3_K27me3","CHIP":"Mouse_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with intermediate-CpG-density promoters (ICP) bearing histone trimethylation marks at K4 (H3K4me3) and K27 (H3K27me3)ES cells (embryonic stem).","DESCRIPTION_FULL":"DNA methylation is essential for normal development and has been implicated in many pathologies including cancer. Our knowledge about the genome-wide distribution of DNA methylation, how it changes during cellular differentiation and how it relates to histone methylation and other chromatin modifications in mammals remains limited. Here we report the generation and analysis of genome-scale DNA methylation profiles at nucleotide resolution in mammalian cells. Using high-throughput reduced representation bisulphite sequencing and single-molecule-based sequencing, we generated DNA methylation maps covering most CpG islands, and a representative sampling of conserved non-coding elements, transposons and other genomic features, for mouse embryonic stem cells, embryonic-stem-cell-derived and primary neural cells, and eight other primary tissues. Several key findings emerge from the data. First, DNA methylation patterns are better correlated with histone methylation patterns than with the underlying genome sequence context. Second, methylation of CpGs are dynamic epigenetic marks that undergo extensive changes during cellular differentiation, particularly in regulatory regions outside of core promoters. Third, analysis of embryonic-stem-cell-derived and primary cells reveals that 'weak' CpG islands associated with a specific set of developmentally regulated genes undergo aberrant hypermethylation during extended proliferation in vitro, in a pattern reminiscent of that reported in some primary tumours. More generally, the results establish reduced representation bisulphite sequencing as a powerful technology for epigenetic profiling of cell populations relevant to developmental biology, cancer and regenerative medicine."}
{"STANDARD_NAME":"MEISSNER_NPC_HCP_WITH_H3K27ME3","SYSTEMATIC_NAME":"M1932","ORGANISM":"Mus musculus","PMID":"18600261","AUTHORS":"Meissner A,Mikkelsen TS,Gu H,Wernig M,Hanna J,Sivachenko A,Zhang X,Bernstein BE,Nusbaum C,Jaffe DB,Gnirke A,Jaenisch R,Lander ES","GEOID":"GSE11172","EXACT_SOURCE":"Table 2S: NPC(P18): HCP, K27me3","CHIP":"Mouse_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with high-CpG-density promoters (HCP) bearing the H3K27 tri-methylation (H3K27me3) mark in neural precursor cells (NPC).","DESCRIPTION_FULL":"DNA methylation is essential for normal development and has been implicated in many pathologies including cancer. Our knowledge about the genome-wide distribution of DNA methylation, how it changes during cellular differentiation and how it relates to histone methylation and other chromatin modifications in mammals remains limited. Here we report the generation and analysis of genome-scale DNA methylation profiles at nucleotide resolution in mammalian cells. Using high-throughput reduced representation bisulphite sequencing and single-molecule-based sequencing, we generated DNA methylation maps covering most CpG islands, and a representative sampling of conserved non-coding elements, transposons and other genomic features, for mouse embryonic stem cells, embryonic-stem-cell-derived and primary neural cells, and eight other primary tissues. Several key findings emerge from the data. First, DNA methylation patterns are better correlated with histone methylation patterns than with the underlying genome sequence context. Second, methylation of CpGs are dynamic epigenetic marks that undergo extensive changes during cellular differentiation, particularly in regulatory regions outside of core promoters. Third, analysis of embryonic-stem-cell-derived and primary cells reveals that 'weak' CpG islands associated with a specific set of developmentally regulated genes undergo aberrant hypermethylation during extended proliferation in vitro, in a pattern reminiscent of that reported in some primary tumours. More generally, the results establish reduced representation bisulphite sequencing as a powerful technology for epigenetic profiling of cell populations relevant to developmental biology, cancer and regenerative medicine."}
{"STANDARD_NAME":"MEISSNER_NPC_ICP_WITH_H3K4ME3","SYSTEMATIC_NAME":"M1934","ORGANISM":"Mus musculus","PMID":"18600261","AUTHORS":"Meissner A,Mikkelsen TS,Gu H,Wernig M,Hanna J,Sivachenko A,Zhang X,Bernstein BE,Nusbaum C,Jaffe DB,Gnirke A,Jaenisch R,Lander ES","GEOID":"GSE11172","EXACT_SOURCE":"Table 2S: NPC(P18): ICP, K4me3","CHIP":"Mouse_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with intermediate-CpG-density promoters (ICP) bearing histone H3 trimethylation mark at K4 (H3K4me3) in neural precursor cells (NPC).","DESCRIPTION_FULL":"DNA methylation is essential for normal development and has been implicated in many pathologies including cancer. Our knowledge about the genome-wide distribution of DNA methylation, how it changes during cellular differentiation and how it relates to histone methylation and other chromatin modifications in mammals remains limited. Here we report the generation and analysis of genome-scale DNA methylation profiles at nucleotide resolution in mammalian cells. Using high-throughput reduced representation bisulphite sequencing and single-molecule-based sequencing, we generated DNA methylation maps covering most CpG islands, and a representative sampling of conserved non-coding elements, transposons and other genomic features, for mouse embryonic stem cells, embryonic-stem-cell-derived and primary neural cells, and eight other primary tissues. Several key findings emerge from the data. First, DNA methylation patterns are better correlated with histone methylation patterns than with the underlying genome sequence context. Second, methylation of CpGs are dynamic epigenetic marks that undergo extensive changes during cellular differentiation, particularly in regulatory regions outside of core promoters. Third, analysis of embryonic-stem-cell-derived and primary cells reveals that 'weak' CpG islands associated with a specific set of developmentally regulated genes undergo aberrant hypermethylation during extended proliferation in vitro, in a pattern reminiscent of that reported in some primary tumours. More generally, the results establish reduced representation bisulphite sequencing as a powerful technology for epigenetic profiling of cell populations relevant to developmental biology, cancer and regenerative medicine."}
{"STANDARD_NAME":"MEISSNER_NPC_HCP_WITH_H3K4ME3_AND_H3K27ME3","SYSTEMATIC_NAME":"M1935","ORGANISM":"Mus musculus","PMID":"18600261","AUTHORS":"Meissner A,Mikkelsen TS,Gu H,Wernig M,Hanna J,Sivachenko A,Zhang X,Bernstein BE,Nusbaum C,Jaffe DB,Gnirke A,Jaenisch R,Lander ES","GEOID":"GSE11172","EXACT_SOURCE":"Table 2S: NPC(P18): HCP, K4me3_K27me3","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with high-CpG-density promoters (HCP) bearing histone H3 trimethylation marks at k4 (H3K4me3) and K27 ((H3K27me3) in neural precursor cells (NPC).","DESCRIPTION_FULL":"DNA methylation is essential for normal development and has been implicated in many pathologies including cancer. Our knowledge about the genome-wide distribution of DNA methylation, how it changes during cellular differentiation and how it relates to histone methylation and other chromatin modifications in mammals remains limited. Here we report the generation and analysis of genome-scale DNA methylation profiles at nucleotide resolution in mammalian cells. Using high-throughput reduced representation bisulphite sequencing and single-molecule-based sequencing, we generated DNA methylation maps covering most CpG islands, and a representative sampling of conserved non-coding elements, transposons and other genomic features, for mouse embryonic stem cells, embryonic-stem-cell-derived and primary neural cells, and eight other primary tissues. Several key findings emerge from the data. First, DNA methylation patterns are better correlated with histone methylation patterns than with the underlying genome sequence context. Second, methylation of CpGs are dynamic epigenetic marks that undergo extensive changes during cellular differentiation, particularly in regulatory regions outside of core promoters. Third, analysis of embryonic-stem-cell-derived and primary cells reveals that 'weak' CpG islands associated with a specific set of developmentally regulated genes undergo aberrant hypermethylation during extended proliferation in vitro, in a pattern reminiscent of that reported in some primary tumours. More generally, the results establish reduced representation bisulphite sequencing as a powerful technology for epigenetic profiling of cell populations relevant to developmental biology, cancer and regenerative medicine."}
{"STANDARD_NAME":"MEISSNER_NPC_HCP_WITH_H3_UNMETHYLATED","SYSTEMATIC_NAME":"M1936","ORGANISM":"Mus musculus","PMID":"18600261","AUTHORS":"Meissner A,Mikkelsen TS,Gu H,Wernig M,Hanna J,Sivachenko A,Zhang X,Bernstein BE,Nusbaum C,Jaffe DB,Gnirke A,Jaenisch R,Lander ES","GEOID":"GSE11172","EXACT_SOURCE":"Table 2S: NPC(P18): HCP, None","CHIP":"Mouse_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with high-CpG-density promoters (HCP) that have no histone H3 methylation marks in neural precursor cells (NPC).","DESCRIPTION_FULL":"DNA methylation is essential for normal development and has been implicated in many pathologies including cancer. Our knowledge about the genome-wide distribution of DNA methylation, how it changes during cellular differentiation and how it relates to histone methylation and other chromatin modifications in mammals remains limited. Here we report the generation and analysis of genome-scale DNA methylation profiles at nucleotide resolution in mammalian cells. Using high-throughput reduced representation bisulphite sequencing and single-molecule-based sequencing, we generated DNA methylation maps covering most CpG islands, and a representative sampling of conserved non-coding elements, transposons and other genomic features, for mouse embryonic stem cells, embryonic-stem-cell-derived and primary neural cells, and eight other primary tissues. Several key findings emerge from the data. First, DNA methylation patterns are better correlated with histone methylation patterns than with the underlying genome sequence context. Second, methylation of CpGs are dynamic epigenetic marks that undergo extensive changes during cellular differentiation, particularly in regulatory regions outside of core promoters. Third, analysis of embryonic-stem-cell-derived and primary cells reveals that 'weak' CpG islands associated with a specific set of developmentally regulated genes undergo aberrant hypermethylation during extended proliferation in vitro, in a pattern reminiscent of that reported in some primary tumours. More generally, the results establish reduced representation bisulphite sequencing as a powerful technology for epigenetic profiling of cell populations relevant to developmental biology, cancer and regenerative medicine."}
{"STANDARD_NAME":"MEISSNER_NPC_ICP_WITH_H3_UNMETHYLATED","SYSTEMATIC_NAME":"M1937","ORGANISM":"Mus musculus","PMID":"18600261","AUTHORS":"Meissner A,Mikkelsen TS,Gu H,Wernig M,Hanna J,Sivachenko A,Zhang X,Bernstein BE,Nusbaum C,Jaffe DB,Gnirke A,Jaenisch R,Lander ES","GEOID":"GSE11172","EXACT_SOURCE":"Table 2S: NPC(P18): ICP, None","CHIP":"Mouse_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with intermediate-CpG-density promoters (ICP) that have no histone H3 methylation marks in neural precursor cells (NPC).","DESCRIPTION_FULL":"DNA methylation is essential for normal development and has been implicated in many pathologies including cancer. Our knowledge about the genome-wide distribution of DNA methylation, how it changes during cellular differentiation and how it relates to histone methylation and other chromatin modifications in mammals remains limited. Here we report the generation and analysis of genome-scale DNA methylation profiles at nucleotide resolution in mammalian cells. Using high-throughput reduced representation bisulphite sequencing and single-molecule-based sequencing, we generated DNA methylation maps covering most CpG islands, and a representative sampling of conserved non-coding elements, transposons and other genomic features, for mouse embryonic stem cells, embryonic-stem-cell-derived and primary neural cells, and eight other primary tissues. Several key findings emerge from the data. First, DNA methylation patterns are better correlated with histone methylation patterns than with the underlying genome sequence context. Second, methylation of CpGs are dynamic epigenetic marks that undergo extensive changes during cellular differentiation, particularly in regulatory regions outside of core promoters. Third, analysis of embryonic-stem-cell-derived and primary cells reveals that 'weak' CpG islands associated with a specific set of developmentally regulated genes undergo aberrant hypermethylation during extended proliferation in vitro, in a pattern reminiscent of that reported in some primary tumours. More generally, the results establish reduced representation bisulphite sequencing as a powerful technology for epigenetic profiling of cell populations relevant to developmental biology, cancer and regenerative medicine."}
{"STANDARD_NAME":"MEISSNER_BRAIN_HCP_WITH_H3K27ME3","SYSTEMATIC_NAME":"M1938","ORGANISM":"Mus musculus","PMID":"18600261","AUTHORS":"Meissner A,Mikkelsen TS,Gu H,Wernig M,Hanna J,Sivachenko A,Zhang X,Bernstein BE,Nusbaum C,Jaffe DB,Gnirke A,Jaenisch R,Lander ES","GEOID":"GSE11172","EXACT_SOURCE":"Table 2S: WHOLE_BRAIN: HCP, K27ME3","CHIP":"Mouse_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with high-CpG-density promoters (HCP) bearing the H3K27 tri-methylation (H3K27me3) mark in brain.","DESCRIPTION_FULL":"DNA methylation is essential for normal development and has been implicated in many pathologies including cancer. Our knowledge about the genome-wide distribution of DNA methylation, how it changes during cellular differentiation and how it relates to histone methylation and other chromatin modifications in mammals remains limited. Here we report the generation and analysis of genome-scale DNA methylation profiles at nucleotide resolution in mammalian cells. Using high-throughput reduced representation bisulphite sequencing and single-molecule-based sequencing, we generated DNA methylation maps covering most CpG islands, and a representative sampling of conserved non-coding elements, transposons and other genomic features, for mouse embryonic stem cells, embryonic-stem-cell-derived and primary neural cells, and eight other primary tissues. Several key findings emerge from the data. First, DNA methylation patterns are better correlated with histone methylation patterns than with the underlying genome sequence context. Second, methylation of CpGs are dynamic epigenetic marks that undergo extensive changes during cellular differentiation, particularly in regulatory regions outside of core promoters. Third, analysis of embryonic-stem-cell-derived and primary cells reveals that 'weak' CpG islands associated with a specific set of developmentally regulated genes undergo aberrant hypermethylation during extended proliferation in vitro, in a pattern reminiscent of that reported in some primary tumours. More generally, the results establish reduced representation bisulphite sequencing as a powerful technology for epigenetic profiling of cell populations relevant to developmental biology, cancer and regenerative medicine."}
{"STANDARD_NAME":"MEISSNER_BRAIN_ICP_WITH_H3K4ME3","SYSTEMATIC_NAME":"M1939","ORGANISM":"Mus musculus","PMID":"18600261","AUTHORS":"Meissner A,Mikkelsen TS,Gu H,Wernig M,Hanna J,Sivachenko A,Zhang X,Bernstein BE,Nusbaum C,Jaffe DB,Gnirke A,Jaenisch R,Lander ES","GEOID":"GSE11172","EXACT_SOURCE":"Table 2S: WHOLE_BRAIN: ICP, K4me3","CHIP":"Mouse_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with intermediate-CpG-density promoters (ICP) bearing histone H3 trimethylation mark at K4 (H3K4me3) in brain.","DESCRIPTION_FULL":"DNA methylation is essential for normal development and has been implicated in many pathologies including cancer. Our knowledge about the genome-wide distribution of DNA methylation, how it changes during cellular differentiation and how it relates to histone methylation and other chromatin modifications in mammals remains limited. Here we report the generation and analysis of genome-scale DNA methylation profiles at nucleotide resolution in mammalian cells. Using high-throughput reduced representation bisulphite sequencing and single-molecule-based sequencing, we generated DNA methylation maps covering most CpG islands, and a representative sampling of conserved non-coding elements, transposons and other genomic features, for mouse embryonic stem cells, embryonic-stem-cell-derived and primary neural cells, and eight other primary tissues. Several key findings emerge from the data. First, DNA methylation patterns are better correlated with histone methylation patterns than with the underlying genome sequence context. Second, methylation of CpGs are dynamic epigenetic marks that undergo extensive changes during cellular differentiation, particularly in regulatory regions outside of core promoters. Third, analysis of embryonic-stem-cell-derived and primary cells reveals that 'weak' CpG islands associated with a specific set of developmentally regulated genes undergo aberrant hypermethylation during extended proliferation in vitro, in a pattern reminiscent of that reported in some primary tumours. More generally, the results establish reduced representation bisulphite sequencing as a powerful technology for epigenetic profiling of cell populations relevant to developmental biology, cancer and regenerative medicine."}
{"STANDARD_NAME":"MEISSNER_BRAIN_HCP_WITH_H3K4ME3_AND_H3K27ME3","SYSTEMATIC_NAME":"M1941","ORGANISM":"Mus musculus","PMID":"18600261","AUTHORS":"Meissner A,Mikkelsen TS,Gu H,Wernig M,Hanna J,Sivachenko A,Zhang X,Bernstein BE,Nusbaum C,Jaffe DB,Gnirke A,Jaenisch R,Lander ES","GEOID":"GSE11172","EXACT_SOURCE":"Table 2S: WHOLE_BRAIN: HCP, K4ME3_K27ME3","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with high-CpG-density promoters (HCP) bearing histone H3 dimethylation at K4 (H3K4me2) and trimethylation at K27 (H3K27me3) in brain.","DESCRIPTION_FULL":"DNA methylation is essential for normal development and has been implicated in many pathologies including cancer. Our knowledge about the genome-wide distribution of DNA methylation, how it changes during cellular differentiation and how it relates to histone methylation and other chromatin modifications in mammals remains limited. Here we report the generation and analysis of genome-scale DNA methylation profiles at nucleotide resolution in mammalian cells. Using high-throughput reduced representation bisulphite sequencing and single-molecule-based sequencing, we generated DNA methylation maps covering most CpG islands, and a representative sampling of conserved non-coding elements, transposons and other genomic features, for mouse embryonic stem cells, embryonic-stem-cell-derived and primary neural cells, and eight other primary tissues. Several key findings emerge from the data. First, DNA methylation patterns are better correlated with histone methylation patterns than with the underlying genome sequence context. Second, methylation of CpGs are dynamic epigenetic marks that undergo extensive changes during cellular differentiation, particularly in regulatory regions outside of core promoters. Third, analysis of embryonic-stem-cell-derived and primary cells reveals that 'weak' CpG islands associated with a specific set of developmentally regulated genes undergo aberrant hypermethylation during extended proliferation in vitro, in a pattern reminiscent of that reported in some primary tumours. More generally, the results establish reduced representation bisulphite sequencing as a powerful technology for epigenetic profiling of cell populations relevant to developmental biology, cancer and regenerative medicine."}
{"STANDARD_NAME":"TAVAZOIE_METASTASIS","SYSTEMATIC_NAME":"M2778","ORGANISM":"Homo sapiens","PMID":"18185580","AUTHORS":"Tavazoie SF,Alarcón C,Oskarsson T,Padua D,Wang Q,Bos PD,Gerald WL,Massagué J","EXACT_SOURCE":"Table 2S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Putative metastasis genes: up-regulated in metastatic cell lines LM2 (lung) and BoM2 (bone) relative to the parental MDA-MB-231 line (breast adenocarcinoma).","DESCRIPTION_FULL":"A search for general regulators of cancer metastasis has yielded a set of microRNAs for which expression is specifically lost as human breast cancer cells develop metastatic potential. Here we show that restoring the expression of these microRNAs in malignant cells suppresses lung and bone metastasis by human cancer cells in vivo. Of these microRNAs, miR-126 restoration reduces overall tumour growth and proliferation, whereas miR-335 inhibits metastatic cell invasion. miR-335 regulates a set of genes whose collective expression in a large cohort of human tumours is associated with risk of distal metastasis. miR-335 suppresses metastasis and migration through targeting of the progenitor cell transcription factor SOX4 and extracellular matrix component tenascin C. Expression of miR-126 and miR-335 is lost in the majority of primary breast tumours from patients who relapse, and the loss of expression of either microRNA is associated with poor distal metastasis-free survival. miR-335 and miR-126 are thus identified as metastasis suppressor microRNAs in human breast cancer."}
{"STANDARD_NAME":"WENDT_COHESIN_TARGETS_UP","SYSTEMATIC_NAME":"M10024","ORGANISM":"Homo sapiens","PMID":"18235444","AUTHORS":"Wendt KS,Yoshida K,Itoh T,Bando M,Koch B,Schirghuber E,Tsutsumi S,Nagae G,Ishihara K,Mishiro T,Yahata K,Imamoto F,Aburatani H,Nakao M,Imamoto N,Maeshima K,Shirahige K,Peters JM","EXACT_SOURCE":"Table 4S","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cohesin targets identified by ChIP-chip which were up-regulated after knockdown of CTCF and RAD21 [GeneID=10664;5885] by RNAi.","DESCRIPTION_FULL":"Cohesin complexes mediate sister-chromatid cohesion in dividing cells but may also contribute to gene regulation in postmitotic cells. How cohesin regulates gene expression is not known. Here we describe cohesin-binding sites in the human genome and show that most of these are associated with the CCCTC-binding factor (CTCF), a zinc-finger protein required for transcriptional insulation. CTCF is dispensable for cohesin loading onto DNA, but is needed to enrich cohesin at specific binding sites. Cohesin enables CTCF to insulate promoters from distant enhancers and controls transcription at the H19/IGF2 (insulin-like growth factor 2) locus. This role of cohesin seems to be independent of its role in cohesion. We propose that cohesin functions as a transcriptional insulator, and speculate that subtle deficiencies in this function contribute to 'cohesinopathies' such as Cornelia de Lange syndrome."}
{"STANDARD_NAME":"FERRANDO_HOX11_NEIGHBORS","SYSTEMATIC_NAME":"M2059","ORGANISM":"Homo sapiens","PMID":"12086890","AUTHORS":"Ferrando AA,Neuberg DS,Staunton J,Loh ML,Huard C,Raimondi SC,Behm FG,Pui CH,Downing JR,Gilliland DG,Lander ES,Golub TR,Look AT","EXACT_SOURCE":"Fig 2: the HOX11+ panel","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Nearest neighbors of HOX11 [GeneID=3195], based on the close agreement of their expression profiles with that of HOX11 in pediatric T cell acute lymphoblastic leukemia (T-ALL).","DESCRIPTION_FULL":"Human T cell leukemias can arise from oncogenes activated by specific chromosomal translocations involving the T cell receptor genes. Here we show that five different T cell oncogenes (HOX11, TAL1, LYL1, LMO1, and LMO2) are often aberrantly expressed in the absence of chromosomal abnormalities. Using oligonucleotide microarrays, we identified several gene expression signatures that were indicative of leukemic arrest at specific stages of normal thymocyte development: LYL1+ signature (pro-T), HOX11+ (early cortical thymocyte), and TAL1+ (late cortical thymocyte). Hierarchical clustering analysis of gene expression signatures grouped samples according to their shared oncogenic pathways and identified HOX11L2 activation as a novel event in T cell leukemogenesis. These findings have clinical importance, since HOX11 activation is significantly associated with a favorable prognosis, while expression of TAL1, LYL1, or, surprisingly, HOX11L2 confers a much worse response to treatment. Our results illustrate the power of gene expression profiles to elucidate transformation pathways relevant to human leukemia."}
{"STANDARD_NAME":"CHEOK_RESPONSE_TO_MERCAPTOPURINE_AND_HD_MTX_UP","SYSTEMATIC_NAME":"M5076","ORGANISM":"Homo sapiens","PMID":"12704389","AUTHORS":"Cheok MH,Yang W,Pui CH,Downing JR,Cheng C,Naeve CW,Relling MV,Evans WE","EXACT_SOURCE":"Table 2S: HDMP DC > 0 & HDMP p val. < 0.01","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes specifically up-regulated in pediatric acute lymphoblastic leukemia (ALL) patients by mercaptopurine [PubChem=667490] and high dose methotrexate (HDMTX) [PubChem=4112].","DESCRIPTION_FULL":"To elucidate the genomics of cellular responses to cancer treatment, we analyzed the expression of over 9,600 human genes in acute lymphoblastic leukemia cells before and after in vivo treatment with methotrexate and mercaptopurine given alone or in combination. Based on changes in gene expression, we identified 124 genes that accurately discriminated among the four treatments. Discriminating genes included those involved in apoptosis, mismatch repair, cell cycle control and stress response. Only 14% of genes that changed when these medications were given as single agents also changed when they were given together. These data indicate that lymphoid leukemia cells of different molecular subtypes share common pathways of genomic response to the same treatment, that changes in gene expression are treatment-specific and that gene expression can illuminate differences in cellular response to drug combinations versus single agents."}
{"STANDARD_NAME":"CHEOK_RESPONSE_TO_MERCAPTOPURINE_AND_HD_MTX_DN","SYSTEMATIC_NAME":"M7910","ORGANISM":"Homo sapiens","PMID":"12704389","AUTHORS":"Cheok MH,Yang W,Pui CH,Downing JR,Cheng C,Naeve CW,Relling MV,Evans WE","EXACT_SOURCE":"Table 2S: HDMP DC < 0 & HDMP p val. < 0.01","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes specifically down-regulated in pediatric acute lymphoblastic leukemia (ALL) patients by mercaptopurine [PubChem=667490] and high dose methotrexate (HDMTX) [PubChem=4112].","DESCRIPTION_FULL":"To elucidate the genomics of cellular responses to cancer treatment, we analyzed the expression of over 9,600 human genes in acute lymphoblastic leukemia cells before and after in vivo treatment with methotrexate and mercaptopurine given alone or in combination. Based on changes in gene expression, we identified 124 genes that accurately discriminated among the four treatments. Discriminating genes included those involved in apoptosis, mismatch repair, cell cycle control and stress response. Only 14% of genes that changed when these medications were given as single agents also changed when they were given together. These data indicate that lymphoid leukemia cells of different molecular subtypes share common pathways of genomic response to the same treatment, that changes in gene expression are treatment-specific and that gene expression can illuminate differences in cellular response to drug combinations versus single agents."}
{"STANDARD_NAME":"ZHAN_EARLY_DIFFERENTIATION_GENES_UP","SYSTEMATIC_NAME":"M16256","ORGANISM":"Homo sapiens","PMID":"12393520","AUTHORS":"Zhan F,Tian E,Bumm K,Smith R,Barlogie B,Shaughnessy J Jr","EXACT_SOURCE":"Table 2: up from TPC to TBC","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"B lymphocyte early differentiation genes (EDG): top genes up-regulated in tonsil B lymphocytes (TBC) compared to the tonsil plasma cells (TPC).","DESCRIPTION_FULL":"To identify genes linked to normal plasma cell (PC) differentiation and to classify multiple myeloma (MM) with respect to the expression patterns of these genes, we analyzed global mRNA expression in CD19-enriched B cells (BCs) from 7 tonsils, CD138-enriched PCs from 11 tonsils, 31 normal bone marrow samples, and 74 MM bone marrow samples using microarrays interrogating 6800 genes. Hierarchical clustering analyses with 3288 genes clearly segregated the 4 cell types, and chi-square and Wilcoxin rank sum tests (P <.0005) identified 359 and 500 previously defined and novel genes that distinguish tonsil BCs from tonsil PCs (early differentiation genes [EDGs]), and tonsil PCs from bone marrow PCs (late differentiation genes [LDGs]), respectively. MM as a whole was found to have dramatically variable expression of EDGs and LDGs, and one-way analysis of variance (ANOVA) was used to identify the most variable EDGs (vEDGs) and LDGs (v1LDG and v2LDG). Hierarchical cluster analysis with these genes revealed that previously defined MM gene expression subgroups (MM1-MM4) could be linked to one of the 3 normal cell types. Clustering with 30 vEDGs revealed that 13 of 18 MM4 cases clustered with tonsil BCs (P =.000 05), whereas 14 of 15 MM3 cases clustered with tonsil PCs when using 50 v1LDG (P =.000 008), and 14 of 20 MM2 cases clustered with bone marrow PCs when using 50 v2LDG (P =.000 09). MM1 showed no significant linkage with normal cell types studied. Thus, genes whose expression is linked to distinct transitions in late-stage B-cell differentiation can be used to classify MM."}
{"STANDARD_NAME":"ZHAN_EARLY_DIFFERENTIATION_GENES_DN","SYSTEMATIC_NAME":"M1476","ORGANISM":"Homo sapiens","PMID":"12393520","AUTHORS":"Zhan F,Tian E,Bumm K,Smith R,Barlogie B,Shaughnessy J Jr","EXACT_SOURCE":"Table 2: down from TBC to TPC","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"B lymphocyte early differentiation genes (EDG): top genes down-regulated in tonsil B lymphocytes (TBC) compared to the tonsil plasma cells (TPC).","DESCRIPTION_FULL":"To identify genes linked to normal plasma cell (PC) differentiation and to classify multiple myeloma (MM) with respect to the expression patterns of these genes, we analyzed global mRNA expression in CD19-enriched B cells (BCs) from 7 tonsils, CD138-enriched PCs from 11 tonsils, 31 normal bone marrow samples, and 74 MM bone marrow samples using microarrays interrogating 6800 genes. Hierarchical clustering analyses with 3288 genes clearly segregated the 4 cell types, and chi-square and Wilcoxin rank sum tests (P <.0005) identified 359 and 500 previously defined and novel genes that distinguish tonsil BCs from tonsil PCs (early differentiation genes [EDGs]), and tonsil PCs from bone marrow PCs (late differentiation genes [LDGs]), respectively. MM as a whole was found to have dramatically variable expression of EDGs and LDGs, and one-way analysis of variance (ANOVA) was used to identify the most variable EDGs (vEDGs) and LDGs (v1LDG and v2LDG). Hierarchical cluster analysis with these genes revealed that previously defined MM gene expression subgroups (MM1-MM4) could be linked to one of the 3 normal cell types. Clustering with 30 vEDGs revealed that 13 of 18 MM4 cases clustered with tonsil BCs (P =.000 05), whereas 14 of 15 MM3 cases clustered with tonsil PCs when using 50 v1LDG (P =.000 008), and 14 of 20 MM2 cases clustered with bone marrow PCs when using 50 v2LDG (P =.000 09). MM1 showed no significant linkage with normal cell types studied. Thus, genes whose expression is linked to distinct transitions in late-stage B-cell differentiation can be used to classify MM."}
{"STANDARD_NAME":"MILI_PSEUDOPODIA","SYSTEMATIC_NAME":"M17507","ORGANISM":"Mus musculus","PMID":"18451862","AUTHORS":"Mili S,Moissoglu K,Macara IG","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Transcripts significantly enriched in pseudopodia of NIH/3T3 cells (fibroblast) in response to both chemotactic (lysophosphatidic acid, LPA [PubChem=3988]) and haptotactic (fibronectin, FN1 [GeneID=2335) migratory stimuli.","DESCRIPTION_FULL":"RNA localization is important for the establishment and maintenance of polarity in multiple cell types. Localized RNAs are usually transported along microtubules or actin filaments and become anchored at their destination to some underlying subcellular structure. Retention commonly involves actin or actin-associated proteins, although cytokeratin filaments and dynein anchor certain RNAs. RNA localization is important for diverse processes ranging from cell fate determination to synaptic plasticity; however, so far there have been few comprehensive studies of localized RNAs in mammalian cells. Here we have addressed this issue, focusing on migrating fibroblasts that polarize to form a leading edge and a tail in a process that involves asymmetric distribution of RNAs. We used a fractionation scheme combined with microarrays to identify, on a genome-wide scale, RNAs that localize in protruding pseudopodia of mouse fibroblasts in response to migratory stimuli. We find that a diverse group of RNAs accumulates in such pseudopodial protrusions. Through their 3' untranslated regions these transcripts are anchored in granules concentrated at the plus ends of detyrosinated microtubules. RNAs in the granules associate with the adenomatous polyposis coli (APC) tumour suppressor and the fragile X mental retardation protein (FMRP). APC is required for the accumulation of transcripts in protrusions. Our results suggest a new type of RNA anchoring mechanism as well as a new, unanticipated function for APC in localizing RNAs."}
{"STANDARD_NAME":"MILI_PSEUDOPODIA_CHEMOTAXIS_UP","SYSTEMATIC_NAME":"M15130","ORGANISM":"Mus musculus","PMID":"18451862","AUTHORS":"Mili S,Moissoglu K,Macara IG","EXACT_SOURCE":"Table 2S: Ps vs CB Fold Change > 0","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Transcripts enriched in pseudopodia of NIH/3T3 cells (fibroblast) in response to the chemotactic migration stimulus by lysophosphatidic acid (LPA) [PubChem=3988].","DESCRIPTION_FULL":"RNA localization is important for the establishment and maintenance of polarity in multiple cell types. Localized RNAs are usually transported along microtubules or actin filaments and become anchored at their destination to some underlying subcellular structure. Retention commonly involves actin or actin-associated proteins, although cytokeratin filaments and dynein anchor certain RNAs. RNA localization is important for diverse processes ranging from cell fate determination to synaptic plasticity; however, so far there have been few comprehensive studies of localized RNAs in mammalian cells. Here we have addressed this issue, focusing on migrating fibroblasts that polarize to form a leading edge and a tail in a process that involves asymmetric distribution of RNAs. We used a fractionation scheme combined with microarrays to identify, on a genome-wide scale, RNAs that localize in protruding pseudopodia of mouse fibroblasts in response to migratory stimuli. We find that a diverse group of RNAs accumulates in such pseudopodial protrusions. Through their 3' untranslated regions these transcripts are anchored in granules concentrated at the plus ends of detyrosinated microtubules. RNAs in the granules associate with the adenomatous polyposis coli (APC) tumour suppressor and the fragile X mental retardation protein (FMRP). APC is required for the accumulation of transcripts in protrusions. Our results suggest a new type of RNA anchoring mechanism as well as a new, unanticipated function for APC in localizing RNAs."}
{"STANDARD_NAME":"LIU_VAV3_PROSTATE_CARCINOGENESIS_DN","SYSTEMATIC_NAME":"M12393","ORGANISM":"Homo sapiens","PMID":"18676865","AUTHORS":"Liu Y,Mo JQ,Hu Q,Boivin G,Levin L,Lu S,Yang D,Dong Z","EXACT_SOURCE":"Table 1S-3S","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Selected genes down-regulated in prostate tumors developed by transgenic mice overexpressing VAV3 [GeneID=10451] in prostate epithelium.","DESCRIPTION_FULL":"Our previous study revealed that Vav3 oncogene is overexpressed in human prostate cancer, activates androgen receptor (AR), and stimulates growth in prostate cancer cells. The purpose of this study is to further determine the potential role of Vav3 in prostate cancer development in genetically engineered mouse model. We generated Vav3 transgenic mice by targeted overexpression of a constitutive active Vav3 in the prostatic epithelium. We found that overexpression of Vav3 led to development of mouse prostatic intraepithelial neoplasia and prostate cancer at the age of as early as 3 months. The AR signaling axis and phosphatidylinositol 3-kinase-Akt signaling were elevated in the prostate glands of Vav3 transgenic mice. In addition to prostate cancer, Vav3 transgenic mice developed significant nonbacterial chronic prostatitis in the prostate gland with notable infiltration of lymphomononuclear cells (monocytes, lymphocytes, and plasma cells), which was associated with elevated incidence of prostate cancer. DNA microarray and signaling pathway analysis revealed that the top diseases and disorders were inflammatory diseases and cancer of the prostate gland in Vav3 transgenic mice. In vitro analysis showed that overexpression of Vav3 in prostate cancer cells enhanced nuclear factor-kappaB (NF-kappaB) activity, implicating an underlying mechanism of innate inflammatory response induced by elevated Vav3 activity. These data showed that Vav3 overexpression in the prostate epithelium enhanced both the AR signaling axis and NF-kappaB-mediated pathway, which potentially contributed to the development of nonbacterial prostatitis and prostate cancer."}
{"STANDARD_NAME":"CROONQUIST_IL6_DEPRIVATION_UP","SYSTEMATIC_NAME":"M8342","ORGANISM":"Homo sapiens","PMID":"12791645","AUTHORS":"Croonquist PA,Linden MA,Zhao F,Van Ness BG","EXACT_SOURCE":"Suppl. Data 2A: Table 2S: Fold-diff in geom means < 1","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in the ANBL-6 cell line (multiple myeloma, MM) after withdrawal of IL6 [GeneID=3569].","DESCRIPTION_FULL":"ANBL-6, a myeloma cell line, proliferates in response to interleukin 6 (IL-6) stimulation, coculture with bone marrow stromal cells, and when harboring a constitutively active mutant N-ras gene. Eighteen samples, including 4 IL-6-treated, 3 mutant N-ras-transfected, 3 normal stroma-stimulated, 2 multiple myeloma (MM) stroma-stimulated, and 6 untreated controls were profiled using microarrays interrogating 12 626 genes. Global hierarchical clustering analysis distinguished at least 6 unique expression signatures. Notably, the different stimuli altered distinct functional gene programs. Class comparison analysis (P =.001) revealed 138 genes (54% involved in cell cycle) that distinguished IL-6-stimulated versus nontreated samples. Eighty-seven genes distinguished stroma-stimulated versus IL-6-treated samples (22% encoded for extracellular matrix [ECM] proteins). A total of 130 genes distinguished N-ras transfectants versus IL-6-treated samples (26% involved in metabolism). A total of 157 genes, 20% of these involved in signaling, distinguished N-ras from stroma-interacting samples. All 3 stimuli shared 347 genes, mostly of metabolic function. Genes that distinguished MM1 from MM4 clinical groups were induced at least by one treatment. Notably, only 3 genes (ETV5, DUSP6, and KIAA0735) are uniquely induced in mutant ras-containing cells. We have demonstrated gene expression patterns in myeloma cells that distinguish an intrinsic genetic transformation event and patterns derived from both soluble factors and cell contacts in the bone marrow microenvironment."}
{"STANDARD_NAME":"CROONQUIST_STROMAL_STIMULATION_DN","SYSTEMATIC_NAME":"M2015","ORGANISM":"Homo sapiens","PMID":"12791645","AUTHORS":"Croonquist PA,Linden MA,Zhao F,Van Ness BG","EXACT_SOURCE":"Suppl. Data 2B: Table 2S: Fold-diff in geom means < 1","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in ANBL-6 cell line (multiple myeloma, MM) co-cultured with bone marrow stromal cells compared to those grown in the presence of IL6 [GeneID=3569].","DESCRIPTION_FULL":"ANBL-6, a myeloma cell line, proliferates in response to interleukin 6 (IL-6) stimulation, coculture with bone marrow stromal cells, and when harboring a constitutively active mutant N-ras gene. Eighteen samples, including 4 IL-6-treated, 3 mutant N-ras-transfected, 3 normal stroma-stimulated, 2 multiple myeloma (MM) stroma-stimulated, and 6 untreated controls were profiled using microarrays interrogating 12 626 genes. Global hierarchical clustering analysis distinguished at least 6 unique expression signatures. Notably, the different stimuli altered distinct functional gene programs. Class comparison analysis (P =.001) revealed 138 genes (54% involved in cell cycle) that distinguished IL-6-stimulated versus nontreated samples. Eighty-seven genes distinguished stroma-stimulated versus IL-6-treated samples (22% encoded for extracellular matrix [ECM] proteins). A total of 130 genes distinguished N-ras transfectants versus IL-6-treated samples (26% involved in metabolism). A total of 157 genes, 20% of these involved in signaling, distinguished N-ras from stroma-interacting samples. All 3 stimuli shared 347 genes, mostly of metabolic function. Genes that distinguished MM1 from MM4 clinical groups were induced at least by one treatment. Notably, only 3 genes (ETV5, DUSP6, and KIAA0735) are uniquely induced in mutant ras-containing cells. We have demonstrated gene expression patterns in myeloma cells that distinguish an intrinsic genetic transformation event and patterns derived from both soluble factors and cell contacts in the bone marrow microenvironment."}
{"STANDARD_NAME":"CROONQUIST_NRAS_SIGNALING_UP","SYSTEMATIC_NAME":"M1138","ORGANISM":"Homo sapiens","PMID":"12791645","AUTHORS":"Croonquist PA,Linden MA,Zhao F,Van Ness BG","EXACT_SOURCE":"Suppl. Data 2C: Table 2S: Fold-diff in geom means > 1","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in ANBL-6 cell line (multiple myeloma, MM) expressing a constantly active form of NRAS [GeneID=4893] off a plasmid vector compared to those grown in the presence of IL6 [GeneID=3569].","DESCRIPTION_FULL":"ANBL-6, a myeloma cell line, proliferates in response to interleukin 6 (IL-6) stimulation, coculture with bone marrow stromal cells, and when harboring a constitutively active mutant N-ras gene. Eighteen samples, including 4 IL-6-treated, 3 mutant N-ras-transfected, 3 normal stroma-stimulated, 2 multiple myeloma (MM) stroma-stimulated, and 6 untreated controls were profiled using microarrays interrogating 12 626 genes. Global hierarchical clustering analysis distinguished at least 6 unique expression signatures. Notably, the different stimuli altered distinct functional gene programs. Class comparison analysis (P =.001) revealed 138 genes (54% involved in cell cycle) that distinguished IL-6-stimulated versus nontreated samples. Eighty-seven genes distinguished stroma-stimulated versus IL-6-treated samples (22% encoded for extracellular matrix [ECM] proteins). A total of 130 genes distinguished N-ras transfectants versus IL-6-treated samples (26% involved in metabolism). A total of 157 genes, 20% of these involved in signaling, distinguished N-ras from stroma-interacting samples. All 3 stimuli shared 347 genes, mostly of metabolic function. Genes that distinguished MM1 from MM4 clinical groups were induced at least by one treatment. Notably, only 3 genes (ETV5, DUSP6, and KIAA0735) are uniquely induced in mutant ras-containing cells. We have demonstrated gene expression patterns in myeloma cells that distinguish an intrinsic genetic transformation event and patterns derived from both soluble factors and cell contacts in the bone marrow microenvironment."}
{"STANDARD_NAME":"CROONQUIST_NRAS_VS_STROMAL_STIMULATION_UP","SYSTEMATIC_NAME":"M8273","ORGANISM":"Homo sapiens","PMID":"12791645","AUTHORS":"Croonquist PA,Linden MA,Zhao F,Van Ness BG","EXACT_SOURCE":"Suppl. Data 2D: Table 2S: Fold-diff in geom means > 1","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in ANBL-6 cell line (multiple myeloma, MM) expressing an activated form of NRAS [GeneID=4893] off a plasmid vector compared to those co-cultured with bone marrow stromal cells.","DESCRIPTION_FULL":"ANBL-6, a myeloma cell line, proliferates in response to interleukin 6 (IL-6) stimulation, coculture with bone marrow stromal cells, and when harboring a constitutively active mutant N-ras gene. Eighteen samples, including 4 IL-6-treated, 3 mutant N-ras-transfected, 3 normal stroma-stimulated, 2 multiple myeloma (MM) stroma-stimulated, and 6 untreated controls were profiled using microarrays interrogating 12 626 genes. Global hierarchical clustering analysis distinguished at least 6 unique expression signatures. Notably, the different stimuli altered distinct functional gene programs. Class comparison analysis (P =.001) revealed 138 genes (54% involved in cell cycle) that distinguished IL-6-stimulated versus nontreated samples. Eighty-seven genes distinguished stroma-stimulated versus IL-6-treated samples (22% encoded for extracellular matrix [ECM] proteins). A total of 130 genes distinguished N-ras transfectants versus IL-6-treated samples (26% involved in metabolism). A total of 157 genes, 20% of these involved in signaling, distinguished N-ras from stroma-interacting samples. All 3 stimuli shared 347 genes, mostly of metabolic function. Genes that distinguished MM1 from MM4 clinical groups were induced at least by one treatment. Notably, only 3 genes (ETV5, DUSP6, and KIAA0735) are uniquely induced in mutant ras-containing cells. We have demonstrated gene expression patterns in myeloma cells that distinguish an intrinsic genetic transformation event and patterns derived from both soluble factors and cell contacts in the bone marrow microenvironment."}
{"STANDARD_NAME":"IRITANI_MAD1_TARGETS_UP","SYSTEMATIC_NAME":"M1943","ORGANISM":"Mus musculus","PMID":"12234922","AUTHORS":"Iritani BM,Delrow J,Grandori C,Gomez I,Klacking M,Carlos LS,Eisenman RN","EXACT_SOURCE":"Fig. 7B: Genes increased by Mad1","CHIP":"AFFY_Mu11K","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated by overexpression of MAD1 [GeneID=4084] in primary thymocytes from RAG2 [GeneID=5897] knockout mice.","DESCRIPTION_FULL":"Activated lymphocytes must increase in size and duplicate their contents (cell growth) before they can divide. The molecular events that control cell growth in proliferating lymphocytes and other metazoan cells are still unclear. Here, we utilized transgenesis to provide evidence suggesting that the basic helix-loop- helix-zipper (bHLHZ) transcriptional repressor Mad1, considered to be an antagonist of Myc function, inhibits lymphocyte expansion, maturation and growth following pre-T-cell receptor (pre-TCR) and TCR stimulation. Furthermore, we utilized cDNA microarray technology to determine that, of the genes repressed by Mad1, the majority (77%) are involved in cell growth, which correlates with a decrease in size of Mad1 transgenic thymocytes. Over 80% of the genes repressed by Mad1 have previously been found to be induced by Myc. These results suggest that a balance between Myc and Mad levels may normally modulate lymphocyte proliferation and development in part by controlling expression of growth-regulating genes."}
{"STANDARD_NAME":"ZHAN_LATE_DIFFERENTIATION_GENES_UP","SYSTEMATIC_NAME":"M10280","ORGANISM":"Homo sapiens","PMID":"12393520","AUTHORS":"Zhan F,Tian E,Bumm K,Smith R,Barlogie B,Shaughnessy J Jr","EXACT_SOURCE":"Table 3: up from TPC to BPC","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"B lymphocyte late differentiation genes (LDG): top genes up-regulated in plasma cells from tonsils (TPC) compared to those from bone marrow (BPC).","DESCRIPTION_FULL":"To identify genes linked to normal plasma cell (PC) differentiation and to classify multiple myeloma (MM) with respect to the expression patterns of these genes, we analyzed global mRNA expression in CD19-enriched B cells (BCs) from 7 tonsils, CD138-enriched PCs from 11 tonsils, 31 normal bone marrow samples, and 74 MM bone marrow samples using microarrays interrogating 6800 genes. Hierarchical clustering analyses with 3288 genes clearly segregated the 4 cell types, and chi-square and Wilcoxin rank sum tests (P <.0005) identified 359 and 500 previously defined and novel genes that distinguish tonsil BCs from tonsil PCs (early differentiation genes [EDGs]), and tonsil PCs from bone marrow PCs (late differentiation genes [LDGs]), respectively. MM as a whole was found to have dramatically variable expression of EDGs and LDGs, and one-way analysis of variance (ANOVA) was used to identify the most variable EDGs (vEDGs) and LDGs (v1LDG and v2LDG). Hierarchical cluster analysis with these genes revealed that previously defined MM gene expression subgroups (MM1-MM4) could be linked to one of the 3 normal cell types. Clustering with 30 vEDGs revealed that 13 of 18 MM4 cases clustered with tonsil BCs (P =.000 05), whereas 14 of 15 MM3 cases clustered with tonsil PCs when using 50 v1LDG (P =.000 008), and 14 of 20 MM2 cases clustered with bone marrow PCs when using 50 v2LDG (P =.000 09). MM1 showed no significant linkage with normal cell types studied. Thus, genes whose expression is linked to distinct transitions in late-stage B-cell differentiation can be used to classify MM."}
{"STANDARD_NAME":"ZHAN_LATE_DIFFERENTIATION_GENES_DN","SYSTEMATIC_NAME":"M4230","ORGANISM":"Homo sapiens","PMID":"12393520","AUTHORS":"Zhan F,Tian E,Bumm K,Smith R,Barlogie B,Shaughnessy J Jr","EXACT_SOURCE":"Table 3: down from TPC to BPC","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"B lymphocyte late differentiation genes (LDG): top genes down-regulated in plasma cells from tonsils (TPC) compared to those from bone marrow (BPC).","DESCRIPTION_FULL":"To identify genes linked to normal plasma cell (PC) differentiation and to classify multiple myeloma (MM) with respect to the expression patterns of these genes, we analyzed global mRNA expression in CD19-enriched B cells (BCs) from 7 tonsils, CD138-enriched PCs from 11 tonsils, 31 normal bone marrow samples, and 74 MM bone marrow samples using microarrays interrogating 6800 genes. Hierarchical clustering analyses with 3288 genes clearly segregated the 4 cell types, and chi-square and Wilcoxin rank sum tests (P <.0005) identified 359 and 500 previously defined and novel genes that distinguish tonsil BCs from tonsil PCs (early differentiation genes [EDGs]), and tonsil PCs from bone marrow PCs (late differentiation genes [LDGs]), respectively. MM as a whole was found to have dramatically variable expression of EDGs and LDGs, and one-way analysis of variance (ANOVA) was used to identify the most variable EDGs (vEDGs) and LDGs (v1LDG and v2LDG). Hierarchical cluster analysis with these genes revealed that previously defined MM gene expression subgroups (MM1-MM4) could be linked to one of the 3 normal cell types. Clustering with 30 vEDGs revealed that 13 of 18 MM4 cases clustered with tonsil BCs (P =.000 05), whereas 14 of 15 MM3 cases clustered with tonsil PCs when using 50 v1LDG (P =.000 008), and 14 of 20 MM2 cases clustered with bone marrow PCs when using 50 v2LDG (P =.000 09). MM1 showed no significant linkage with normal cell types studied. Thus, genes whose expression is linked to distinct transitions in late-stage B-cell differentiation can be used to classify MM."}
{"STANDARD_NAME":"ZHAN_VARIABLE_EARLY_DIFFERENTIATION_GENES_UP","SYSTEMATIC_NAME":"M1717","ORGANISM":"Homo sapiens","PMID":"12393520","AUTHORS":"Zhan F,Tian E,Bumm K,Smith R,Barlogie B,Shaughnessy J Jr","EXACT_SOURCE":"Table 4: up from (TBC and MM) to (TPC and BPC)","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"The vEDG up-regulated set: most variable early differentiation genes (EDG) with similar expression patterns in tonsil B lymphocytes (TBC) and multiple myeloma (MM) cells compared to the plasma cells from tonsil (TPC) and bone marrow (BPC).","DESCRIPTION_FULL":"To identify genes linked to normal plasma cell (PC) differentiation and to classify multiple myeloma (MM) with respect to the expression patterns of these genes, we analyzed global mRNA expression in CD19-enriched B cells (BCs) from 7 tonsils, CD138-enriched PCs from 11 tonsils, 31 normal bone marrow samples, and 74 MM bone marrow samples using microarrays interrogating 6800 genes. Hierarchical clustering analyses with 3288 genes clearly segregated the 4 cell types, and chi-square and Wilcoxin rank sum tests (P <.0005) identified 359 and 500 previously defined and novel genes that distinguish tonsil BCs from tonsil PCs (early differentiation genes [EDGs]), and tonsil PCs from bone marrow PCs (late differentiation genes [LDGs]), respectively. MM as a whole was found to have dramatically variable expression of EDGs and LDGs, and one-way analysis of variance (ANOVA) was used to identify the most variable EDGs (vEDGs) and LDGs (v1LDG and v2LDG). Hierarchical cluster analysis with these genes revealed that previously defined MM gene expression subgroups (MM1-MM4) could be linked to one of the 3 normal cell types. Clustering with 30 vEDGs revealed that 13 of 18 MM4 cases clustered with tonsil BCs (P =.000 05), whereas 14 of 15 MM3 cases clustered with tonsil PCs when using 50 v1LDG (P =.000 008), and 14 of 20 MM2 cases clustered with bone marrow PCs when using 50 v2LDG (P =.000 09). MM1 showed no significant linkage with normal cell types studied. Thus, genes whose expression is linked to distinct transitions in late-stage B-cell differentiation can be used to classify MM."}
{"STANDARD_NAME":"ZHAN_VARIABLE_EARLY_DIFFERENTIATION_GENES_DN","SYSTEMATIC_NAME":"M16104","ORGANISM":"Homo sapiens","PMID":"12393520","AUTHORS":"Zhan F,Tian E,Bumm K,Smith R,Barlogie B,Shaughnessy J Jr","EXACT_SOURCE":"Table 4: down from (TBC and MM) to (TPC and BPC)","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"The vEDG down-regulated set: most variable early differentiation genes (EDG) with similar expression patterns in tonsil B lymphocytes (TBC) and multiple myeloma (MM) cells compared to the plasma cells from tonsil (TPC) and bone marrow (BPC).","DESCRIPTION_FULL":"To identify genes linked to normal plasma cell (PC) differentiation and to classify multiple myeloma (MM) with respect to the expression patterns of these genes, we analyzed global mRNA expression in CD19-enriched B cells (BCs) from 7 tonsils, CD138-enriched PCs from 11 tonsils, 31 normal bone marrow samples, and 74 MM bone marrow samples using microarrays interrogating 6800 genes. Hierarchical clustering analyses with 3288 genes clearly segregated the 4 cell types, and chi-square and Wilcoxin rank sum tests (P <.0005) identified 359 and 500 previously defined and novel genes that distinguish tonsil BCs from tonsil PCs (early differentiation genes [EDGs]), and tonsil PCs from bone marrow PCs (late differentiation genes [LDGs]), respectively. MM as a whole was found to have dramatically variable expression of EDGs and LDGs, and one-way analysis of variance (ANOVA) was used to identify the most variable EDGs (vEDGs) and LDGs (v1LDG and v2LDG). Hierarchical cluster analysis with these genes revealed that previously defined MM gene expression subgroups (MM1-MM4) could be linked to one of the 3 normal cell types. Clustering with 30 vEDGs revealed that 13 of 18 MM4 cases clustered with tonsil BCs (P =.000 05), whereas 14 of 15 MM3 cases clustered with tonsil PCs when using 50 v1LDG (P =.000 008), and 14 of 20 MM2 cases clustered with bone marrow PCs when using 50 v2LDG (P =.000 09). MM1 showed no significant linkage with normal cell types studied. Thus, genes whose expression is linked to distinct transitions in late-stage B-cell differentiation can be used to classify MM."}
{"STANDARD_NAME":"ZHAN_V1_LATE_DIFFERENTIATION_GENES_UP","SYSTEMATIC_NAME":"M13608","ORGANISM":"Homo sapiens","PMID":"12393520","AUTHORS":"Zhan F,Tian E,Bumm K,Smith R,Barlogie B,Shaughnessy J Jr","EXACT_SOURCE":"Table 5: up from (TPC and MM) to BPC","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"The v1LDG up-regulated set: most variable late differentiation genes (LDG) with similar expression patterns in tonsil plasma cells (TPC) and multiple myeloma (MM) samples.","DESCRIPTION_FULL":"To identify genes linked to normal plasma cell (PC) differentiation and to classify multiple myeloma (MM) with respect to the expression patterns of these genes, we analyzed global mRNA expression in CD19-enriched B cells (BCs) from 7 tonsils, CD138-enriched PCs from 11 tonsils, 31 normal bone marrow samples, and 74 MM bone marrow samples using microarrays interrogating 6800 genes. Hierarchical clustering analyses with 3288 genes clearly segregated the 4 cell types, and chi-square and Wilcoxin rank sum tests (P <.0005) identified 359 and 500 previously defined and novel genes that distinguish tonsil BCs from tonsil PCs (early differentiation genes [EDGs]), and tonsil PCs from bone marrow PCs (late differentiation genes [LDGs]), respectively. MM as a whole was found to have dramatically variable expression of EDGs and LDGs, and one-way analysis of variance (ANOVA) was used to identify the most variable EDGs (vEDGs) and LDGs (v1LDG and v2LDG). Hierarchical cluster analysis with these genes revealed that previously defined MM gene expression subgroups (MM1-MM4) could be linked to one of the 3 normal cell types. Clustering with 30 vEDGs revealed that 13 of 18 MM4 cases clustered with tonsil BCs (P =.000 05), whereas 14 of 15 MM3 cases clustered with tonsil PCs when using 50 v1LDG (P =.000 008), and 14 of 20 MM2 cases clustered with bone marrow PCs when using 50 v2LDG (P =.000 09). MM1 showed no significant linkage with normal cell types studied. Thus, genes whose expression is linked to distinct transitions in late-stage B-cell differentiation can be used to classify MM."}
{"STANDARD_NAME":"ZHAN_V1_LATE_DIFFERENTIATION_GENES_DN","SYSTEMATIC_NAME":"M13806","ORGANISM":"Homo sapiens","PMID":"12393520","AUTHORS":"Zhan F,Tian E,Bumm K,Smith R,Barlogie B,Shaughnessy J Jr","EXACT_SOURCE":"Table 5: down from (TPC and MM) to BPC","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"The v1LDG down-regulated set: most variable late differentiation genes (LDG) with similar expression patterns in tonsil plasma cells (TPC) and multiple myeloma (MM) samples.","DESCRIPTION_FULL":"To identify genes linked to normal plasma cell (PC) differentiation and to classify multiple myeloma (MM) with respect to the expression patterns of these genes, we analyzed global mRNA expression in CD19-enriched B cells (BCs) from 7 tonsils, CD138-enriched PCs from 11 tonsils, 31 normal bone marrow samples, and 74 MM bone marrow samples using microarrays interrogating 6800 genes. Hierarchical clustering analyses with 3288 genes clearly segregated the 4 cell types, and chi-square and Wilcoxin rank sum tests (P <.0005) identified 359 and 500 previously defined and novel genes that distinguish tonsil BCs from tonsil PCs (early differentiation genes [EDGs]), and tonsil PCs from bone marrow PCs (late differentiation genes [LDGs]), respectively. MM as a whole was found to have dramatically variable expression of EDGs and LDGs, and one-way analysis of variance (ANOVA) was used to identify the most variable EDGs (vEDGs) and LDGs (v1LDG and v2LDG). Hierarchical cluster analysis with these genes revealed that previously defined MM gene expression subgroups (MM1-MM4) could be linked to one of the 3 normal cell types. Clustering with 30 vEDGs revealed that 13 of 18 MM4 cases clustered with tonsil BCs (P =.000 05), whereas 14 of 15 MM3 cases clustered with tonsil PCs when using 50 v1LDG (P =.000 008), and 14 of 20 MM2 cases clustered with bone marrow PCs when using 50 v2LDG (P =.000 09). MM1 showed no significant linkage with normal cell types studied. Thus, genes whose expression is linked to distinct transitions in late-stage B-cell differentiation can be used to classify MM."}
{"STANDARD_NAME":"VALK_AML_CLUSTER_1","SYSTEMATIC_NAME":"M19844","ORGANISM":"Homo sapiens","PMID":"15084694","AUTHORS":"Valk PJ,Verhaak RG,Beijen MA,Erpelinck CA,Doorn-Khosrovani van Waalwijk van Barjesteh S,Boer JM,Beverloo HB,Moorhouse MJ,Spek der van PJ,Löwenberg B,Delwel R","EXACT_SOURCE":"Supplementary Table A1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top 40 genes from cluster 1 of acute myeloid leukemia (AML) expression profile; 57% of the samples are FAB M1 subtype, 43% have 11q23 abnormalities, and 36% have up-regulated EVI1 [GeneID=2122] expression.","DESCRIPTION_FULL":"BACKGROUND: In patients with acute myeloid leukemia (AML) a combination of methods must be used to classify the disease, make therapeutic decisions, and determine the prognosis. However, this combined approach provides correct therapeutic and prognostic information in only 50 percent of cases. METHODS: We determined the gene-expression profiles in samples of peripheral blood or bone marrow from 285 patients with AML using Affymetrix U133A GeneChips containing approximately 13,000 unique genes or expression-signature tags. Data analyses were carried out with Omniviz, significance analysis of microarrays, and prediction analysis of microarrays software. Statistical analyses were performed to determine the prognostic significance of cases of AML with specific molecular signatures. RESULTS: Unsupervised cluster analyses identified 16 groups of patients with AML on the basis of molecular signatures. We identified the genes that defined these clusters and determined the minimal numbers of genes needed to identify prognostically important clusters with a high degree of accuracy. The clustering was driven by the presence of chromosomal lesions (e.g., t(8;21), t(15;17), and inv(16)), particular genetic mutations (CEBPA), and abnormal oncogene expression (EVI1). We identified several novel clusters, some consisting of specimens with normal karyotypes. A unique cluster with a distinctive gene-expression signature included cases of AML with a poor treatment outcome. CONCLUSIONS: Gene-expression profiling allows a comprehensive classification of AML that includes previously identified genetically defined subgroups and a novel cluster with an adverse prognosis."}
{"STANDARD_NAME":"VALK_AML_CLUSTER_2","SYSTEMATIC_NAME":"M1464","ORGANISM":"Homo sapiens","PMID":"15084694","AUTHORS":"Valk PJ,Verhaak RG,Beijen MA,Erpelinck CA,Doorn-Khosrovani van Waalwijk van Barjesteh S,Boer JM,Beverloo HB,Moorhouse MJ,Spek der van PJ,Löwenberg B,Delwel R","EXACT_SOURCE":"Supplementary Table B1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top 40 genes from cluster 2 of acute myeloid leukemia (AML) expression profile; 71% of the samples are FAB M4 or M5 subtypes, and 82% bear internal tundem duplications in FLT3 [GeneID=2322].","DESCRIPTION_FULL":"BACKGROUND: In patients with acute myeloid leukemia (AML) a combination of methods must be used to classify the disease, make therapeutic decisions, and determine the prognosis. However, this combined approach provides correct therapeutic and prognostic information in only 50 percent of cases. METHODS: We determined the gene-expression profiles in samples of peripheral blood or bone marrow from 285 patients with AML using Affymetrix U133A GeneChips containing approximately 13,000 unique genes or expression-signature tags. Data analyses were carried out with Omniviz, significance analysis of microarrays, and prediction analysis of microarrays software. Statistical analyses were performed to determine the prognostic significance of cases of AML with specific molecular signatures. RESULTS: Unsupervised cluster analyses identified 16 groups of patients with AML on the basis of molecular signatures. We identified the genes that defined these clusters and determined the minimal numbers of genes needed to identify prognostically important clusters with a high degree of accuracy. The clustering was driven by the presence of chromosomal lesions (e.g., t(8;21), t(15;17), and inv(16)), particular genetic mutations (CEBPA), and abnormal oncogene expression (EVI1). We identified several novel clusters, some consisting of specimens with normal karyotypes. A unique cluster with a distinctive gene-expression signature included cases of AML with a poor treatment outcome. CONCLUSIONS: Gene-expression profiling allows a comprehensive classification of AML that includes previously identified genetically defined subgroups and a novel cluster with an adverse prognosis."}
{"STANDARD_NAME":"VALK_AML_CLUSTER_3","SYSTEMATIC_NAME":"M9858","ORGANISM":"Homo sapiens","PMID":"15084694","AUTHORS":"Valk PJ,Verhaak RG,Beijen MA,Erpelinck CA,Doorn-Khosrovani van Waalwijk van Barjesteh S,Boer JM,Beverloo HB,Moorhouse MJ,Spek der van PJ,Löwenberg B,Delwel R","EXACT_SOURCE":"Supplementary Table C1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top 40 genes from cluster 3 of acute myeloid leukemia (AML) expression profile; 84% of the samples are FAB M1 or M2 subtypes, 52% bear intern tandem duplication in FLT3 [GeneID=2322].","DESCRIPTION_FULL":"BACKGROUND: In patients with acute myeloid leukemia (AML) a combination of methods must be used to classify the disease, make therapeutic decisions, and determine the prognosis. However, this combined approach provides correct therapeutic and prognostic information in only 50 percent of cases. METHODS: We determined the gene-expression profiles in samples of peripheral blood or bone marrow from 285 patients with AML using Affymetrix U133A GeneChips containing approximately 13,000 unique genes or expression-signature tags. Data analyses were carried out with Omniviz, significance analysis of microarrays, and prediction analysis of microarrays software. Statistical analyses were performed to determine the prognostic significance of cases of AML with specific molecular signatures. RESULTS: Unsupervised cluster analyses identified 16 groups of patients with AML on the basis of molecular signatures. We identified the genes that defined these clusters and determined the minimal numbers of genes needed to identify prognostically important clusters with a high degree of accuracy. The clustering was driven by the presence of chromosomal lesions (e.g., t(8;21), t(15;17), and inv(16)), particular genetic mutations (CEBPA), and abnormal oncogene expression (EVI1). We identified several novel clusters, some consisting of specimens with normal karyotypes. A unique cluster with a distinctive gene-expression signature included cases of AML with a poor treatment outcome. CONCLUSIONS: Gene-expression profiling allows a comprehensive classification of AML that includes previously identified genetically defined subgroups and a novel cluster with an adverse prognosis."}
{"STANDARD_NAME":"VALK_AML_CLUSTER_4","SYSTEMATIC_NAME":"M4253","ORGANISM":"Homo sapiens","PMID":"15084694","AUTHORS":"Valk PJ,Verhaak RG,Beijen MA,Erpelinck CA,Doorn-Khosrovani van Waalwijk van Barjesteh S,Boer JM,Beverloo HB,Moorhouse MJ,Spek der van PJ,Löwenberg B,Delwel R","EXACT_SOURCE":"Supplementary Table D1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top 40 genes from cluster 4 of acute myeloid leukemia (AML) expression profile; 87% of the samples are FAB M1 subtype, 53% bear mutations in CEBPA [GeneID=1050].","DESCRIPTION_FULL":"BACKGROUND: In patients with acute myeloid leukemia (AML) a combination of methods must be used to classify the disease, make therapeutic decisions, and determine the prognosis. However, this combined approach provides correct therapeutic and prognostic information in only 50 percent of cases. METHODS: We determined the gene-expression profiles in samples of peripheral blood or bone marrow from 285 patients with AML using Affymetrix U133A GeneChips containing approximately 13,000 unique genes or expression-signature tags. Data analyses were carried out with Omniviz, significance analysis of microarrays, and prediction analysis of microarrays software. Statistical analyses were performed to determine the prognostic significance of cases of AML with specific molecular signatures. RESULTS: Unsupervised cluster analyses identified 16 groups of patients with AML on the basis of molecular signatures. We identified the genes that defined these clusters and determined the minimal numbers of genes needed to identify prognostically important clusters with a high degree of accuracy. The clustering was driven by the presence of chromosomal lesions (e.g., t(8;21), t(15;17), and inv(16)), particular genetic mutations (CEBPA), and abnormal oncogene expression (EVI1). We identified several novel clusters, some consisting of specimens with normal karyotypes. A unique cluster with a distinctive gene-expression signature included cases of AML with a poor treatment outcome. CONCLUSIONS: Gene-expression profiling allows a comprehensive classification of AML that includes previously identified genetically defined subgroups and a novel cluster with an adverse prognosis."}
{"STANDARD_NAME":"VALK_AML_CLUSTER_6","SYSTEMATIC_NAME":"M4965","ORGANISM":"Homo sapiens","PMID":"15084694","AUTHORS":"Valk PJ,Verhaak RG,Beijen MA,Erpelinck CA,Doorn-Khosrovani van Waalwijk van Barjesteh S,Boer JM,Beverloo HB,Moorhouse MJ,Spek der van PJ,Löwenberg B,Delwel R","EXACT_SOURCE":"Supplementary Table F1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top 40 genes from cluster 6 of acute myeloid leukemia (AML) expression profile; all samples are FAB M1 or M2 subtypes and all samples have internal tundem duplication of FLT3 [GeneID=2322].","DESCRIPTION_FULL":"BACKGROUND: In patients with acute myeloid leukemia (AML) a combination of methods must be used to classify the disease, make therapeutic decisions, and determine the prognosis. However, this combined approach provides correct therapeutic and prognostic information in only 50 percent of cases. METHODS: We determined the gene-expression profiles in samples of peripheral blood or bone marrow from 285 patients with AML using Affymetrix U133A GeneChips containing approximately 13,000 unique genes or expression-signature tags. Data analyses were carried out with Omniviz, significance analysis of microarrays, and prediction analysis of microarrays software. Statistical analyses were performed to determine the prognostic significance of cases of AML with specific molecular signatures. RESULTS: Unsupervised cluster analyses identified 16 groups of patients with AML on the basis of molecular signatures. We identified the genes that defined these clusters and determined the minimal numbers of genes needed to identify prognostically important clusters with a high degree of accuracy. The clustering was driven by the presence of chromosomal lesions (e.g., t(8;21), t(15;17), and inv(16)), particular genetic mutations (CEBPA), and abnormal oncogene expression (EVI1). We identified several novel clusters, some consisting of specimens with normal karyotypes. A unique cluster with a distinctive gene-expression signature included cases of AML with a poor treatment outcome. CONCLUSIONS: Gene-expression profiling allows a comprehensive classification of AML that includes previously identified genetically defined subgroups and a novel cluster with an adverse prognosis."}
{"STANDARD_NAME":"VALK_AML_CLUSTER_9","SYSTEMATIC_NAME":"M9326","ORGANISM":"Homo sapiens","PMID":"15084694","AUTHORS":"Valk PJ,Verhaak RG,Beijen MA,Erpelinck CA,Doorn-Khosrovani van Waalwijk van Barjesteh S,Boer JM,Beverloo HB,Moorhouse MJ,Spek der van PJ,Löwenberg B,Delwel R","EXACT_SOURCE":"Supplementary Table I1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top 40 genes from cluster 9 of acute myeloid leukemia (AML) expression profile; 87% of the samples are FAB M4 or M5 subtype, all have inv(16) inversion producing the CBFB-MYH11 fusion [GeneID=865;4629]; indicate good survival.","DESCRIPTION_FULL":"BACKGROUND: In patients with acute myeloid leukemia (AML) a combination of methods must be used to classify the disease, make therapeutic decisions, and determine the prognosis. However, this combined approach provides correct therapeutic and prognostic information in only 50 percent of cases. METHODS: We determined the gene-expression profiles in samples of peripheral blood or bone marrow from 285 patients with AML using Affymetrix U133A GeneChips containing approximately 13,000 unique genes or expression-signature tags. Data analyses were carried out with Omniviz, significance analysis of microarrays, and prediction analysis of microarrays software. Statistical analyses were performed to determine the prognostic significance of cases of AML with specific molecular signatures. RESULTS: Unsupervised cluster analyses identified 16 groups of patients with AML on the basis of molecular signatures. We identified the genes that defined these clusters and determined the minimal numbers of genes needed to identify prognostically important clusters with a high degree of accuracy. The clustering was driven by the presence of chromosomal lesions (e.g., t(8;21), t(15;17), and inv(16)), particular genetic mutations (CEBPA), and abnormal oncogene expression (EVI1). We identified several novel clusters, some consisting of specimens with normal karyotypes. A unique cluster with a distinctive gene-expression signature included cases of AML with a poor treatment outcome. CONCLUSIONS: Gene-expression profiling allows a comprehensive classification of AML that includes previously identified genetically defined subgroups and a novel cluster with an adverse prognosis."}
{"STANDARD_NAME":"VALK_AML_CLUSTER_10","SYSTEMATIC_NAME":"M18784","ORGANISM":"Homo sapiens","PMID":"15084694","AUTHORS":"Valk PJ,Verhaak RG,Beijen MA,Erpelinck CA,Doorn-Khosrovani van Waalwijk van Barjesteh S,Boer JM,Beverloo HB,Moorhouse MJ,Spek der van PJ,Löwenberg B,Delwel R","EXACT_SOURCE":"Supplementary Table J1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top 40 genes from cluster 10 of acute myeloid leukemia (AML) expression profile; 41% of the samples are FAB M1 subtype, 45% have up-regulated EVI1 [GeneID=2122] expression; indicate poor survival.","DESCRIPTION_FULL":"BACKGROUND: In patients with acute myeloid leukemia (AML) a combination of methods must be used to classify the disease, make therapeutic decisions, and determine the prognosis. However, this combined approach provides correct therapeutic and prognostic information in only 50 percent of cases. METHODS: We determined the gene-expression profiles in samples of peripheral blood or bone marrow from 285 patients with AML using Affymetrix U133A GeneChips containing approximately 13,000 unique genes or expression-signature tags. Data analyses were carried out with Omniviz, significance analysis of microarrays, and prediction analysis of microarrays software. Statistical analyses were performed to determine the prognostic significance of cases of AML with specific molecular signatures. RESULTS: Unsupervised cluster analyses identified 16 groups of patients with AML on the basis of molecular signatures. We identified the genes that defined these clusters and determined the minimal numbers of genes needed to identify prognostically important clusters with a high degree of accuracy. The clustering was driven by the presence of chromosomal lesions (e.g., t(8;21), t(15;17), and inv(16)), particular genetic mutations (CEBPA), and abnormal oncogene expression (EVI1). We identified several novel clusters, some consisting of specimens with normal karyotypes. A unique cluster with a distinctive gene-expression signature included cases of AML with a poor treatment outcome. CONCLUSIONS: Gene-expression profiling allows a comprehensive classification of AML that includes previously identified genetically defined subgroups and a novel cluster with an adverse prognosis."}
{"STANDARD_NAME":"VALK_AML_CLUSTER_11","SYSTEMATIC_NAME":"M9334","ORGANISM":"Homo sapiens","PMID":"15084694","AUTHORS":"Valk PJ,Verhaak RG,Beijen MA,Erpelinck CA,Doorn-Khosrovani van Waalwijk van Barjesteh S,Boer JM,Beverloo HB,Moorhouse MJ,Spek der van PJ,Löwenberg B,Delwel R","EXACT_SOURCE":"Supplementary Table K1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top 40 genes from cluster 11 of acute myeloid leukemia (AML) expression profile; 67% of the samples are FAB M4 or M5.","DESCRIPTION_FULL":"BACKGROUND: In patients with acute myeloid leukemia (AML) a combination of methods must be used to classify the disease, make therapeutic decisions, and determine the prognosis. However, this combined approach provides correct therapeutic and prognostic information in only 50 percent of cases. METHODS: We determined the gene-expression profiles in samples of peripheral blood or bone marrow from 285 patients with AML using Affymetrix U133A GeneChips containing approximately 13,000 unique genes or expression-signature tags. Data analyses were carried out with Omniviz, significance analysis of microarrays, and prediction analysis of microarrays software. Statistical analyses were performed to determine the prognostic significance of cases of AML with specific molecular signatures. RESULTS: Unsupervised cluster analyses identified 16 groups of patients with AML on the basis of molecular signatures. We identified the genes that defined these clusters and determined the minimal numbers of genes needed to identify prognostically important clusters with a high degree of accuracy. The clustering was driven by the presence of chromosomal lesions (e.g., t(8;21), t(15;17), and inv(16)), particular genetic mutations (CEBPA), and abnormal oncogene expression (EVI1). We identified several novel clusters, some consisting of specimens with normal karyotypes. A unique cluster with a distinctive gene-expression signature included cases of AML with a poor treatment outcome. CONCLUSIONS: Gene-expression profiling allows a comprehensive classification of AML that includes previously identified genetically defined subgroups and a novel cluster with an adverse prognosis."}
{"STANDARD_NAME":"VALK_AML_CLUSTER_12","SYSTEMATIC_NAME":"M5516","ORGANISM":"Homo sapiens","PMID":"15084694","AUTHORS":"Valk PJ,Verhaak RG,Beijen MA,Erpelinck CA,Doorn-Khosrovani van Waalwijk van Barjesteh S,Boer JM,Beverloo HB,Moorhouse MJ,Spek der van PJ,Löwenberg B,Delwel R","EXACT_SOURCE":"Supplementary Table L1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top 40 genes from cluster 12 of acute myeloid leukemia (AML) expression profile; 89% of the samples are FAB M3 subtype, 95% bear the t(15;17) translocation, all have the PML-RARA fusion [GeneID=5371;5914]; indicate good survival.","DESCRIPTION_FULL":"BACKGROUND: In patients with acute myeloid leukemia (AML) a combination of methods must be used to classify the disease, make therapeutic decisions, and determine the prognosis. However, this combined approach provides correct therapeutic and prognostic information in only 50 percent of cases. METHODS: We determined the gene-expression profiles in samples of peripheral blood or bone marrow from 285 patients with AML using Affymetrix U133A GeneChips containing approximately 13,000 unique genes or expression-signature tags. Data analyses were carried out with Omniviz, significance analysis of microarrays, and prediction analysis of microarrays software. Statistical analyses were performed to determine the prognostic significance of cases of AML with specific molecular signatures. RESULTS: Unsupervised cluster analyses identified 16 groups of patients with AML on the basis of molecular signatures. We identified the genes that defined these clusters and determined the minimal numbers of genes needed to identify prognostically important clusters with a high degree of accuracy. The clustering was driven by the presence of chromosomal lesions (e.g., t(8;21), t(15;17), and inv(16)), particular genetic mutations (CEBPA), and abnormal oncogene expression (EVI1). We identified several novel clusters, some consisting of specimens with normal karyotypes. A unique cluster with a distinctive gene-expression signature included cases of AML with a poor treatment outcome. CONCLUSIONS: Gene-expression profiling allows a comprehensive classification of AML that includes previously identified genetically defined subgroups and a novel cluster with an adverse prognosis."}
{"STANDARD_NAME":"VALK_AML_CLUSTER_13","SYSTEMATIC_NAME":"M2603","ORGANISM":"Homo sapiens","PMID":"15084694","AUTHORS":"Valk PJ,Verhaak RG,Beijen MA,Erpelinck CA,Doorn-Khosrovani van Waalwijk van Barjesteh S,Boer JM,Beverloo HB,Moorhouse MJ,Spek der van PJ,Löwenberg B,Delwel R","EXACT_SOURCE":"Supplementary Table M1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top 40 genes from cluster 13 of acute myeloid leukemia (AML) expression profile; 91% of the samples are FAB M2 subtype, all bear the t(8;21) translocation producing the AML1-ETO fusion [GeneID=861;862]; indicate good survival.","DESCRIPTION_FULL":"BACKGROUND: In patients with acute myeloid leukemia (AML) a combination of methods must be used to classify the disease, make therapeutic decisions, and determine the prognosis. However, this combined approach provides correct therapeutic and prognostic information in only 50 percent of cases. METHODS: We determined the gene-expression profiles in samples of peripheral blood or bone marrow from 285 patients with AML using Affymetrix U133A GeneChips containing approximately 13,000 unique genes or expression-signature tags. Data analyses were carried out with Omniviz, significance analysis of microarrays, and prediction analysis of microarrays software. Statistical analyses were performed to determine the prognostic significance of cases of AML with specific molecular signatures. RESULTS: Unsupervised cluster analyses identified 16 groups of patients with AML on the basis of molecular signatures. We identified the genes that defined these clusters and determined the minimal numbers of genes needed to identify prognostically important clusters with a high degree of accuracy. The clustering was driven by the presence of chromosomal lesions (e.g., t(8;21), t(15;17), and inv(16)), particular genetic mutations (CEBPA), and abnormal oncogene expression (EVI1). We identified several novel clusters, some consisting of specimens with normal karyotypes. A unique cluster with a distinctive gene-expression signature included cases of AML with a poor treatment outcome. CONCLUSIONS: Gene-expression profiling allows a comprehensive classification of AML that includes previously identified genetically defined subgroups and a novel cluster with an adverse prognosis."}
{"STANDARD_NAME":"VALK_AML_CLUSTER_15","SYSTEMATIC_NAME":"M15545","ORGANISM":"Homo sapiens","PMID":"15084694","AUTHORS":"Valk PJ,Verhaak RG,Beijen MA,Erpelinck CA,Doorn-Khosrovani van Waalwijk van Barjesteh S,Boer JM,Beverloo HB,Moorhouse MJ,Spek der van PJ,Löwenberg B,Delwel R","EXACT_SOURCE":"Supplementary Table O1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top 40 genes from cluster 15 of acute myeloid leukemia (AML) expression profile; 88% of the samples are FAB M1 or M2 subtype, 63% have mutations in CEBPA [GeneID=1050].","DESCRIPTION_FULL":"BACKGROUND: In patients with acute myeloid leukemia (AML) a combination of methods must be used to classify the disease, make therapeutic decisions, and determine the prognosis. However, this combined approach provides correct therapeutic and prognostic information in only 50 percent of cases. METHODS: We determined the gene-expression profiles in samples of peripheral blood or bone marrow from 285 patients with AML using Affymetrix U133A GeneChips containing approximately 13,000 unique genes or expression-signature tags. Data analyses were carried out with Omniviz, significance analysis of microarrays, and prediction analysis of microarrays software. Statistical analyses were performed to determine the prognostic significance of cases of AML with specific molecular signatures. RESULTS: Unsupervised cluster analyses identified 16 groups of patients with AML on the basis of molecular signatures. We identified the genes that defined these clusters and determined the minimal numbers of genes needed to identify prognostically important clusters with a high degree of accuracy. The clustering was driven by the presence of chromosomal lesions (e.g., t(8;21), t(15;17), and inv(16)), particular genetic mutations (CEBPA), and abnormal oncogene expression (EVI1). We identified several novel clusters, some consisting of specimens with normal karyotypes. A unique cluster with a distinctive gene-expression signature included cases of AML with a poor treatment outcome. CONCLUSIONS: Gene-expression profiling allows a comprehensive classification of AML that includes previously identified genetically defined subgroups and a novel cluster with an adverse prognosis."}
{"STANDARD_NAME":"VALK_AML_CLUSTER_16","SYSTEMATIC_NAME":"M16673","ORGANISM":"Homo sapiens","PMID":"15084694","AUTHORS":"Valk PJ,Verhaak RG,Beijen MA,Erpelinck CA,Doorn-Khosrovani van Waalwijk van Barjesteh S,Boer JM,Beverloo HB,Moorhouse MJ,Spek der van PJ,Löwenberg B,Delwel R","EXACT_SOURCE":"Supplementary Table P1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top 40 genes from cluster 16 of acute myeloid leukemia (AML) expression profile; 81% of the samples are FAB M5 subtype, 45% have 11q23 abnormalities.","DESCRIPTION_FULL":"BACKGROUND: In patients with acute myeloid leukemia (AML) a combination of methods must be used to classify the disease, make therapeutic decisions, and determine the prognosis. However, this combined approach provides correct therapeutic and prognostic information in only 50 percent of cases. METHODS: We determined the gene-expression profiles in samples of peripheral blood or bone marrow from 285 patients with AML using Affymetrix U133A GeneChips containing approximately 13,000 unique genes or expression-signature tags. Data analyses were carried out with Omniviz, significance analysis of microarrays, and prediction analysis of microarrays software. Statistical analyses were performed to determine the prognostic significance of cases of AML with specific molecular signatures. RESULTS: Unsupervised cluster analyses identified 16 groups of patients with AML on the basis of molecular signatures. We identified the genes that defined these clusters and determined the minimal numbers of genes needed to identify prognostically important clusters with a high degree of accuracy. The clustering was driven by the presence of chromosomal lesions (e.g., t(8;21), t(15;17), and inv(16)), particular genetic mutations (CEBPA), and abnormal oncogene expression (EVI1). We identified several novel clusters, some consisting of specimens with normal karyotypes. A unique cluster with a distinctive gene-expression signature included cases of AML with a poor treatment outcome. CONCLUSIONS: Gene-expression profiling allows a comprehensive classification of AML that includes previously identified genetically defined subgroups and a novel cluster with an adverse prognosis."}
{"STANDARD_NAME":"VALK_AML_WITH_T_8_21_TRANSLOCATION","SYSTEMATIC_NAME":"M17966","ORGANISM":"Homo sapiens","PMID":"15084694","AUTHORS":"Valk PJ,Verhaak RG,Beijen MA,Erpelinck CA,Doorn-Khosrovani van Waalwijk van Barjesteh S,Boer JM,Beverloo HB,Moorhouse MJ,Spek der van PJ,Löwenberg B,Delwel R","EXACT_SOURCE":"Supplementary Table R: AML","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes that best predicted acute myeloid leukemia (AML) with the t(8;21) translocation producing the AML1-ETO fusion [GeneID=861;862].","DESCRIPTION_FULL":"BACKGROUND: In patients with acute myeloid leukemia (AML) a combination of methods must be used to classify the disease, make therapeutic decisions, and determine the prognosis. However, this combined approach provides correct therapeutic and prognostic information in only 50 percent of cases. METHODS: We determined the gene-expression profiles in samples of peripheral blood or bone marrow from 285 patients with AML using Affymetrix U133A GeneChips containing approximately 13,000 unique genes or expression-signature tags. Data analyses were carried out with Omniviz, significance analysis of microarrays, and prediction analysis of microarrays software. Statistical analyses were performed to determine the prognostic significance of cases of AML with specific molecular signatures. RESULTS: Unsupervised cluster analyses identified 16 groups of patients with AML on the basis of molecular signatures. We identified the genes that defined these clusters and determined the minimal numbers of genes needed to identify prognostically important clusters with a high degree of accuracy. The clustering was driven by the presence of chromosomal lesions (e.g., t(8;21), t(15;17), and inv(16)), particular genetic mutations (CEBPA), and abnormal oncogene expression (EVI1). We identified several novel clusters, some consisting of specimens with normal karyotypes. A unique cluster with a distinctive gene-expression signature included cases of AML with a poor treatment outcome. CONCLUSIONS: Gene-expression profiling allows a comprehensive classification of AML that includes previously identified genetically defined subgroups and a novel cluster with an adverse prognosis."}
{"STANDARD_NAME":"VALK_AML_WITH_11Q23_REARRANGED","SYSTEMATIC_NAME":"M9270","ORGANISM":"Homo sapiens","PMID":"15084694","AUTHORS":"Valk PJ,Verhaak RG,Beijen MA,Erpelinck CA,Doorn-Khosrovani van Waalwijk van Barjesteh S,Boer JM,Beverloo HB,Moorhouse MJ,Spek der van PJ,Löwenberg B,Delwel R","EXACT_SOURCE":"Supplementary Table R: 11q23","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes that best predicted acute myeloid leukemia (AML) with the 11q23 rearrangements.","DESCRIPTION_FULL":"BACKGROUND: In patients with acute myeloid leukemia (AML) a combination of methods must be used to classify the disease, make therapeutic decisions, and determine the prognosis. However, this combined approach provides correct therapeutic and prognostic information in only 50 percent of cases. METHODS: We determined the gene-expression profiles in samples of peripheral blood or bone marrow from 285 patients with AML using Affymetrix U133A GeneChips containing approximately 13,000 unique genes or expression-signature tags. Data analyses were carried out with Omniviz, significance analysis of microarrays, and prediction analysis of microarrays software. Statistical analyses were performed to determine the prognostic significance of cases of AML with specific molecular signatures. RESULTS: Unsupervised cluster analyses identified 16 groups of patients with AML on the basis of molecular signatures. We identified the genes that defined these clusters and determined the minimal numbers of genes needed to identify prognostically important clusters with a high degree of accuracy. The clustering was driven by the presence of chromosomal lesions (e.g., t(8;21), t(15;17), and inv(16)), particular genetic mutations (CEBPA), and abnormal oncogene expression (EVI1). We identified several novel clusters, some consisting of specimens with normal karyotypes. A unique cluster with a distinctive gene-expression signature included cases of AML with a poor treatment outcome. CONCLUSIONS: Gene-expression profiling allows a comprehensive classification of AML that includes previously identified genetically defined subgroups and a novel cluster with an adverse prognosis."}
{"STANDARD_NAME":"VALK_AML_WITH_EVI1","SYSTEMATIC_NAME":"M5200","ORGANISM":"Homo sapiens","PMID":"15084694","AUTHORS":"Valk PJ,Verhaak RG,Beijen MA,Erpelinck CA,Doorn-Khosrovani van Waalwijk van Barjesteh S,Boer JM,Beverloo HB,Moorhouse MJ,Spek der van PJ,Löwenberg B,Delwel R","EXACT_SOURCE":"Supplementary Table R: EVI","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes that best predicted acute myeloid leukemia (AML) with the up-regulated expression of EVI1 [GeneID=2122].","DESCRIPTION_FULL":"BACKGROUND: In patients with acute myeloid leukemia (AML) a combination of methods must be used to classify the disease, make therapeutic decisions, and determine the prognosis. However, this combined approach provides correct therapeutic and prognostic information in only 50 percent of cases. METHODS: We determined the gene-expression profiles in samples of peripheral blood or bone marrow from 285 patients with AML using Affymetrix U133A GeneChips containing approximately 13,000 unique genes or expression-signature tags. Data analyses were carried out with Omniviz, significance analysis of microarrays, and prediction analysis of microarrays software. Statistical analyses were performed to determine the prognostic significance of cases of AML with specific molecular signatures. RESULTS: Unsupervised cluster analyses identified 16 groups of patients with AML on the basis of molecular signatures. We identified the genes that defined these clusters and determined the minimal numbers of genes needed to identify prognostically important clusters with a high degree of accuracy. The clustering was driven by the presence of chromosomal lesions (e.g., t(8;21), t(15;17), and inv(16)), particular genetic mutations (CEBPA), and abnormal oncogene expression (EVI1). We identified several novel clusters, some consisting of specimens with normal karyotypes. A unique cluster with a distinctive gene-expression signature included cases of AML with a poor treatment outcome. CONCLUSIONS: Gene-expression profiling allows a comprehensive classification of AML that includes previously identified genetically defined subgroups and a novel cluster with an adverse prognosis."}
{"STANDARD_NAME":"VALK_AML_WITH_CEBPA","SYSTEMATIC_NAME":"M19586","ORGANISM":"Homo sapiens","PMID":"15084694","AUTHORS":"Valk PJ,Verhaak RG,Beijen MA,Erpelinck CA,Doorn-Khosrovani van Waalwijk van Barjesteh S,Boer JM,Beverloo HB,Moorhouse MJ,Spek der van PJ,Löwenberg B,Delwel R","EXACT_SOURCE":"Supplementary Table R: cEBPalpha","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes that best predicted acute myeloid leukemia (AML) with mutations in CEBPA [GeneID=1050].","DESCRIPTION_FULL":"BACKGROUND: In patients with acute myeloid leukemia (AML) a combination of methods must be used to classify the disease, make therapeutic decisions, and determine the prognosis. However, this combined approach provides correct therapeutic and prognostic information in only 50 percent of cases. METHODS: We determined the gene-expression profiles in samples of peripheral blood or bone marrow from 285 patients with AML using Affymetrix U133A GeneChips containing approximately 13,000 unique genes or expression-signature tags. Data analyses were carried out with Omniviz, significance analysis of microarrays, and prediction analysis of microarrays software. Statistical analyses were performed to determine the prognostic significance of cases of AML with specific molecular signatures. RESULTS: Unsupervised cluster analyses identified 16 groups of patients with AML on the basis of molecular signatures. We identified the genes that defined these clusters and determined the minimal numbers of genes needed to identify prognostically important clusters with a high degree of accuracy. The clustering was driven by the presence of chromosomal lesions (e.g., t(8;21), t(15;17), and inv(16)), particular genetic mutations (CEBPA), and abnormal oncogene expression (EVI1). We identified several novel clusters, some consisting of specimens with normal karyotypes. A unique cluster with a distinctive gene-expression signature included cases of AML with a poor treatment outcome. CONCLUSIONS: Gene-expression profiling allows a comprehensive classification of AML that includes previously identified genetically defined subgroups and a novel cluster with an adverse prognosis."}
{"STANDARD_NAME":"VALK_AML_WITH_FLT3_ITD","SYSTEMATIC_NAME":"M10010","ORGANISM":"Homo sapiens","PMID":"15084694","AUTHORS":"Valk PJ,Verhaak RG,Beijen MA,Erpelinck CA,Doorn-Khosrovani van Waalwijk van Barjesteh S,Boer JM,Beverloo HB,Moorhouse MJ,Spek der van PJ,Löwenberg B,Delwel R","EXACT_SOURCE":"Supplementary Table R: FLT3 ITD","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes that best predicted acute myeloid leukemia (AML) with internal tandem duplications (IDT) in FLT3 [GeneID=2322].","DESCRIPTION_FULL":"BACKGROUND: In patients with acute myeloid leukemia (AML) a combination of methods must be used to classify the disease, make therapeutic decisions, and determine the prognosis. However, this combined approach provides correct therapeutic and prognostic information in only 50 percent of cases. METHODS: We determined the gene-expression profiles in samples of peripheral blood or bone marrow from 285 patients with AML using Affymetrix U133A GeneChips containing approximately 13,000 unique genes or expression-signature tags. Data analyses were carried out with Omniviz, significance analysis of microarrays, and prediction analysis of microarrays software. Statistical analyses were performed to determine the prognostic significance of cases of AML with specific molecular signatures. RESULTS: Unsupervised cluster analyses identified 16 groups of patients with AML on the basis of molecular signatures. We identified the genes that defined these clusters and determined the minimal numbers of genes needed to identify prognostically important clusters with a high degree of accuracy. The clustering was driven by the presence of chromosomal lesions (e.g., t(8;21), t(15;17), and inv(16)), particular genetic mutations (CEBPA), and abnormal oncogene expression (EVI1). We identified several novel clusters, some consisting of specimens with normal karyotypes. A unique cluster with a distinctive gene-expression signature included cases of AML with a poor treatment outcome. CONCLUSIONS: Gene-expression profiling allows a comprehensive classification of AML that includes previously identified genetically defined subgroups and a novel cluster with an adverse prognosis."}
{"STANDARD_NAME":"POOLA_INVASIVE_BREAST_CANCER_DN","SYSTEMATIC_NAME":"M6767","ORGANISM":"Homo sapiens","PMID":"15864312","AUTHORS":"Poola I,DeWitty RL,Marshalleck JJ,Bhatnagar R,Abraham J,Leffall LD","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in atypical ductal hyperplastic tissues from patients with (ADHC) breast cancer vs those without the cancer (ADH).","DESCRIPTION_FULL":"Breast cancer is the second leading cause of cancer death for women in the United States. In 2005, about 215,000 cases of invasive breast cancer (IBC) and 50,000 cases of ductal carcinoma in situ will be diagnosed and 40,000 women will die of IBC in the US. Yet there is presently no molecular marker that can be used to detect a precancerous state or identify which premalignant lesions will develop into invasive breast cancer. Here we report the gene expression analysis of atypical ductal hyperplastic tissues from patients with and without a history of breast cancer. We identify MMP-1 as a candidate marker that may be useful for identification of breast lesions that can develop into cancer."}
{"STANDARD_NAME":"DING_LUNG_CANCER_MUTATED_RECURRENTLY","SYSTEMATIC_NAME":"M14019","ORGANISM":"Homo sapiens","PMID":"18948947","AUTHORS":"Ding L,Getz G,Wheeler DA,Mardis ER,McLellan MD,Cibulskis K,Sougnez C,Greulich H,Muzny DM,Morgan MB,Fulton L,Fulton RS,Zhang Q,Wendl MC,Lawrence MS,Larson DE,Chen K,Dooling DJ,Sabo A,Hawes AC,Shen H,Jhangiani SN,Lewis LR,Hall O,Zhu Y,Mathew T,Ren Y,Yao J,Scherer SE,Clerc K,Metcalf GA,Ng B,Milosavljevic A,Gonzalez-Garay ML,Osborne JR,Meyer R,Shi X,Tang Y,Koboldt DC,Lin L,Abbott R,Miner TL,Pohl C,Fewell G,Haipek C,Schmidt H,Dunford-Shore BH,Kraja A,Crosby SD,Sawyer CS,Vickery T,Sander S,Robinson J,Winckler W,Baldwin J,Chirieac LR,Dutt A,Fennell T,Hanna M,Johnson BE,Onofrio RC,Thomas RK,Tonon G,Weir BA,Zhao X,Ziaugra L,Zody MC,Giordano T,Orringer MB,Roth JA,Spitz MR,Wistuba II,Ozenberger B,Good PJ,Chang AC,Beer DG,Watson MA,Ladanyi M,Broderick S,Yoshizawa A,Travis WD,Pao W,Province MA,Weinstock GM,Varmus HE,Gabriel SB,Lander ES,Gibbs RA,Meyerson M,Wilson RK","EXACT_SOURCE":"Table 3bS","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"The lung adenocarcinoma TSP (tumor sequencing project) genes bearing recurrent somatic mutations.","DESCRIPTION_FULL":"Determining the genetic basis of cancer requires comprehensive analyses of large collections of histopathologically well-classified primary tumours. Here we report the results of a collaborative study to discover somatic mutations in 188 human lung adenocarcinomas. DNA sequencing of 623 genes with known or potential relationships to cancer revealed more than 1,000 somatic mutations across the samples. Our analysis identified 26 genes that are mutated at significantly high frequencies and thus are probably involved in carcinogenesis. The frequently mutated genes include tyrosine kinases, among them the EGFR homologue ERBB4; multiple ephrin receptor genes, notably EPHA3; vascular endothelial growth factor receptor KDR; and NTRK genes. These data provide evidence of somatic mutations in primary lung adenocarcinoma for several tumour suppressor genes involved in other cancers--including NF1, APC, RB1 and ATM--and for sequence changes in PTPRD as well as the frequently deleted gene LRP1B. The observed mutational profiles correlate with clinical features, smoking status and DNA repair defects. These results are reinforced by data integration including single nucleotide polymorphism array and gene expression array. Our findings shed further light on several important signalling pathways involved in lung adenocarcinoma, and suggest new molecular targets for treatment."}
{"STANDARD_NAME":"DING_LUNG_CANCER_BY_MUTATION_RATE","SYSTEMATIC_NAME":"M1189","ORGANISM":"Homo sapiens","PMID":"18948947","AUTHORS":"Ding L,Getz G,Wheeler DA,Mardis ER,McLellan MD,Cibulskis K,Sougnez C,Greulich H,Muzny DM,Morgan MB,Fulton L,Fulton RS,Zhang Q,Wendl MC,Lawrence MS,Larson DE,Chen K,Dooling DJ,Sabo A,Hawes AC,Shen H,Jhangiani SN,Lewis LR,Hall O,Zhu Y,Mathew T,Ren Y,Yao J,Scherer SE,Clerc K,Metcalf GA,Ng B,Milosavljevic A,Gonzalez-Garay ML,Osborne JR,Meyer R,Shi X,Tang Y,Koboldt DC,Lin L,Abbott R,Miner TL,Pohl C,Fewell G,Haipek C,Schmidt H,Dunford-Shore BH,Kraja A,Crosby SD,Sawyer CS,Vickery T,Sander S,Robinson J,Winckler W,Baldwin J,Chirieac LR,Dutt A,Fennell T,Hanna M,Johnson BE,Onofrio RC,Thomas RK,Tonon G,Weir BA,Zhao X,Ziaugra L,Zody MC,Giordano T,Orringer MB,Roth JA,Spitz MR,Wistuba II,Ozenberger B,Good PJ,Chang AC,Beer DG,Watson MA,Ladanyi M,Broderick S,Yoshizawa A,Travis WD,Pao W,Province MA,Weinstock GM,Varmus HE,Gabriel SB,Lander ES,Gibbs RA,Meyerson M,Wilson RK","EXACT_SOURCE":"Table 8","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"The lung adenocarcinoma TSP (tumor sequencing project) genes mutations in which show positive correlation with the higher overall mutation rate.","DESCRIPTION_FULL":"Determining the genetic basis of cancer requires comprehensive analyses of large collections of histopathologically well-classified primary tumours. Here we report the results of a collaborative study to discover somatic mutations in 188 human lung adenocarcinomas. DNA sequencing of 623 genes with known or potential relationships to cancer revealed more than 1,000 somatic mutations across the samples. Our analysis identified 26 genes that are mutated at significantly high frequencies and thus are probably involved in carcinogenesis. The frequently mutated genes include tyrosine kinases, among them the EGFR homologue ERBB4; multiple ephrin receptor genes, notably EPHA3; vascular endothelial growth factor receptor KDR; and NTRK genes. These data provide evidence of somatic mutations in primary lung adenocarcinoma for several tumour suppressor genes involved in other cancers--including NF1, APC, RB1 and ATM--and for sequence changes in PTPRD as well as the frequently deleted gene LRP1B. The observed mutational profiles correlate with clinical features, smoking status and DNA repair defects. These results are reinforced by data integration including single nucleotide polymorphism array and gene expression array. Our findings shed further light on several important signalling pathways involved in lung adenocarcinoma, and suggest new molecular targets for treatment."}
{"STANDARD_NAME":"TCGA_GLIOBLASTOMA_MUTATED","SYSTEMATIC_NAME":"M19387","ORGANISM":"Homo sapiens","PMID":"18772890","AUTHORS":"Cancer Genome Atlas Research Network","EXACT_SOURCE":"Suppl. data file","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes significantly mutated in 91 glioblastoma samples.","DESCRIPTION_FULL":"Human cancer cells typically harbour multiple chromosomal aberrations, nucleotide substitutions and epigenetic modifications that drive malignant transformation. The Cancer Genome Atlas (TCGA) pilot project aims to assess the value of large-scale multi-dimensional analysis of these molecular characteristics in human cancer and to provide the data rapidly to the research community. Here we report the interim integrative analysis of DNA copy number, gene expression and DNA methylation aberrations in 206 glioblastomas--the most common type of adult brain cancer--and nucleotide sequence aberrations in 91 of the 206 glioblastomas. This analysis provides new insights into the roles of ERBB2, NF1 and TP53, uncovers frequent mutations of the phosphatidylinositol-3-OH kinase regulatory subunit gene PIK3R1, and provides a network view of the pathways altered in the development of glioblastoma. Furthermore, integration of mutation, DNA methylation and clinical treatment data reveals a link between MGMT promoter methylation and a hypermutator phenotype consequent to mismatch repair deficiency in treated glioblastomas, an observation with potential clinical implications. Together, these findings establish the feasibility and power of TCGA, demonstrating that it can rapidly expand knowledge of the molecular basis of cancer."}
{"STANDARD_NAME":"CHEN_LIVER_METABOLISM_QTL_CIS","SYSTEMATIC_NAME":"M1947","ORGANISM":"Mus musculus","PMID":"18344982","AUTHORS":"Chen Y,Zhu J,Lum PY,Yang X,Pinto S,MacNeil DJ,Zhang C,Lamb J,Edwards S,Sieberts SK,Leonardson A,Castellini LW,Wang S,Champy MF,Zhang B,Emilsson V,Doss S,Ghazalpour A,Horvath S,Drake TA,Lusis AJ,Schadt EE","EXACT_SOURCE":"Table 1S","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cis-regulated expression quantitative loci (cis-eQTL) in the liver that contribute to metabolic quantitative traits (weight, fat mass, and plasma glucose and cholesterol levels).","DESCRIPTION_FULL":"Identifying variations in DNA that increase susceptibility to disease is one of the primary aims of genetic studies using a forward genetics approach. However, identification of disease-susceptibility genes by means of such studies provides limited functional information on how genes lead to disease. In fact, in most cases there is an absence of functional information altogether, preventing a definitive identification of the susceptibility gene or genes. Here we develop an alternative to the classic forward genetics approach for dissecting complex disease traits where, instead of identifying susceptibility genes directly affected by variations in DNA, we identify gene networks that are perturbed by susceptibility loci and that in turn lead to disease. Application of this method to liver and adipose gene expression data generated from a segregating mouse population results in the identification of a macrophage-enriched network supported as having a causal relationship with disease traits associated with metabolic syndrome. Three genes in this network, lipoprotein lipase (Lpl), lactamase beta (Lactb) and protein phosphatase 1-like (Ppm1l), are validated as previously unknown obesity genes, strengthening the association between this network and metabolic disease traits. Our analysis provides direct experimental support that complex traits such as obesity are emergent properties of molecular networks that are modulated by complex genetic loci and environmental factors."}
{"STANDARD_NAME":"BOYAULT_LIVER_CANCER_SUBCLASS_G1_UP","SYSTEMATIC_NAME":"M14146","ORGANISM":"Homo sapiens","PMID":"17187432","AUTHORS":"Boyault S,Rickman DS,Reyniès de A,Balabaud C,Rebouissou S,Jeannot E,Hérault A,Saric J,Belghiti J,Franco D,Bioulac-Sage P,Laurent-Puig P,Zucman-Rossi J","EXACT_SOURCE":"Table 4S: G1_UP","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Up-regulated genes in hepatocellular carcinoma (HCC) subclass G1, defined by unsupervised clustering","DESCRIPTION_FULL":"Hepatocellular carcinomas (HCCs) are a heterogeneous group of tumors that differ in risk factors and genetic alterations. We further investigated transcriptome-genotype-phenotype correlations in HCC. Global transcriptome analyses were performed on 57 HCCs and 3 hepatocellular adenomas and validated by quantitative RT-PCR using 63 additional HCCs. We determined loss of heterozygosity, gene mutations, promoter methylation of CDH1 and CDKN2A, and HBV DNA copy number for each tumor. Unsupervised transcriptome analysis identified 6 robust subgroups of HCC (G1-G6) associated with clinical and genetic characteristics. G1 tumors were associated with low copy number of HBV and overexpression of genes expressed in fetal liver and controlled by parental imprinting. G2 included HCCs infected with a high copy number of HBV and mutations in PIK3CA and TP53. In these first groups, we detected specific activation of the AKT pathway. G3 tumors were typified by mutation of TP53 and overexpression of genes controlling the cell cycle. G4 was a heterogeneous subgroup of tumors including TCF1-mutated hepatocellular adenomas and carcinomas. G5 and G6 were strongly related to beta-catenin mutations that lead to Wnt pathway activation; in particular, G6 tumors were characterized by satellite nodules, higher activation of the Wnt pathway, and E-cadherin underexpression. CONCLUSION: These results have furthered our understanding of the genetic diversity of human HCC and have provided specific identifiers for classifying tumors. In addition, our classification has potential therapeutic implications because 50% of the tumors were related to WNT or AKT pathway activation, which potentially could be targeted by specific inhibiting therapies."}
{"STANDARD_NAME":"BOYAULT_LIVER_CANCER_SUBCLASS_G1_DN","SYSTEMATIC_NAME":"M1883","ORGANISM":"Homo sapiens","PMID":"17187432","AUTHORS":"Boyault S,Rickman DS,Reyniès de A,Balabaud C,Rebouissou S,Jeannot E,Hérault A,Saric J,Belghiti J,Franco D,Bioulac-Sage P,Laurent-Puig P,Zucman-Rossi J","EXACT_SOURCE":"Table 4S: G1_DN","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Down-regulated genes in hepatocellular carcinoma (HCC) subclass G1, defined by unsupervised clustering","DESCRIPTION_FULL":"Hepatocellular carcinomas (HCCs) are a heterogeneous group of tumors that differ in risk factors and genetic alterations. We further investigated transcriptome-genotype-phenotype correlations in HCC. Global transcriptome analyses were performed on 57 HCCs and 3 hepatocellular adenomas and validated by quantitative RT-PCR using 63 additional HCCs. We determined loss of heterozygosity, gene mutations, promoter methylation of CDH1 and CDKN2A, and HBV DNA copy number for each tumor. Unsupervised transcriptome analysis identified 6 robust subgroups of HCC (G1-G6) associated with clinical and genetic characteristics. G1 tumors were associated with low copy number of HBV and overexpression of genes expressed in fetal liver and controlled by parental imprinting. G2 included HCCs infected with a high copy number of HBV and mutations in PIK3CA and TP53. In these first groups, we detected specific activation of the AKT pathway. G3 tumors were typified by mutation of TP53 and overexpression of genes controlling the cell cycle. G4 was a heterogeneous subgroup of tumors including TCF1-mutated hepatocellular adenomas and carcinomas. G5 and G6 were strongly related to beta-catenin mutations that lead to Wnt pathway activation; in particular, G6 tumors were characterized by satellite nodules, higher activation of the Wnt pathway, and E-cadherin underexpression. CONCLUSION: These results have furthered our understanding of the genetic diversity of human HCC and have provided specific identifiers for classifying tumors. In addition, our classification has potential therapeutic implications because 50% of the tumors were related to WNT or AKT pathway activation, which potentially could be targeted by specific inhibiting therapies."}
{"STANDARD_NAME":"BOYAULT_LIVER_CANCER_SUBCLASS_G2","SYSTEMATIC_NAME":"M10953","ORGANISM":"Homo sapiens","PMID":"17187432","AUTHORS":"Boyault S,Rickman DS,Reyniès de A,Balabaud C,Rebouissou S,Jeannot E,Hérault A,Saric J,Belghiti J,Franco D,Bioulac-Sage P,Laurent-Puig P,Zucman-Rossi J","EXACT_SOURCE":"Table 4S: G2","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in hepatocellular carcinoma (HCC) subclass G2, defined by unsupervised clustering.","DESCRIPTION_FULL":"Hepatocellular carcinomas (HCCs) are a heterogeneous group of tumors that differ in risk factors and genetic alterations. We further investigated transcriptome-genotype-phenotype correlations in HCC. Global transcriptome analyses were performed on 57 HCCs and 3 hepatocellular adenomas and validated by quantitative RT-PCR using 63 additional HCCs. We determined loss of heterozygosity, gene mutations, promoter methylation of CDH1 and CDKN2A, and HBV DNA copy number for each tumor. Unsupervised transcriptome analysis identified 6 robust subgroups of HCC (G1-G6) associated with clinical and genetic characteristics. G1 tumors were associated with low copy number of HBV and overexpression of genes expressed in fetal liver and controlled by parental imprinting. G2 included HCCs infected with a high copy number of HBV and mutations in PIK3CA and TP53. In these first groups, we detected specific activation of the AKT pathway. G3 tumors were typified by mutation of TP53 and overexpression of genes controlling the cell cycle. G4 was a heterogeneous subgroup of tumors including TCF1-mutated hepatocellular adenomas and carcinomas. G5 and G6 were strongly related to beta-catenin mutations that lead to Wnt pathway activation; in particular, G6 tumors were characterized by satellite nodules, higher activation of the Wnt pathway, and E-cadherin underexpression. CONCLUSION: These results have furthered our understanding of the genetic diversity of human HCC and have provided specific identifiers for classifying tumors. In addition, our classification has potential therapeutic implications because 50% of the tumors were related to WNT or AKT pathway activation, which potentially could be targeted by specific inhibiting therapies."}
{"STANDARD_NAME":"BOYAULT_LIVER_CANCER_SUBCLASS_G5_DN","SYSTEMATIC_NAME":"M9343","ORGANISM":"Homo sapiens","PMID":"17187432","AUTHORS":"Boyault S,Rickman DS,Reyniès de A,Balabaud C,Rebouissou S,Jeannot E,Hérault A,Saric J,Belghiti J,Franco D,Bioulac-Sage P,Laurent-Puig P,Zucman-Rossi J","EXACT_SOURCE":"Table 4S: G5_DN","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Down-regulated genes in hepatocellular carcinoma (HCC) subclass G5, defined by unsupervised clustering.","DESCRIPTION_FULL":"Hepatocellular carcinomas (HCCs) are a heterogeneous group of tumors that differ in risk factors and genetic alterations. We further investigated transcriptome-genotype-phenotype correlations in HCC. Global transcriptome analyses were performed on 57 HCCs and 3 hepatocellular adenomas and validated by quantitative RT-PCR using 63 additional HCCs. We determined loss of heterozygosity, gene mutations, promoter methylation of CDH1 and CDKN2A, and HBV DNA copy number for each tumor. Unsupervised transcriptome analysis identified 6 robust subgroups of HCC (G1-G6) associated with clinical and genetic characteristics. G1 tumors were associated with low copy number of HBV and overexpression of genes expressed in fetal liver and controlled by parental imprinting. G2 included HCCs infected with a high copy number of HBV and mutations in PIK3CA and TP53. In these first groups, we detected specific activation of the AKT pathway. G3 tumors were typified by mutation of TP53 and overexpression of genes controlling the cell cycle. G4 was a heterogeneous subgroup of tumors including TCF1-mutated hepatocellular adenomas and carcinomas. G5 and G6 were strongly related to beta-catenin mutations that lead to Wnt pathway activation; in particular, G6 tumors were characterized by satellite nodules, higher activation of the Wnt pathway, and E-cadherin underexpression. CONCLUSION: These results have furthered our understanding of the genetic diversity of human HCC and have provided specific identifiers for classifying tumors. In addition, our classification has potential therapeutic implications because 50% of the tumors were related to WNT or AKT pathway activation, which potentially could be targeted by specific inhibiting therapies."}
{"STANDARD_NAME":"BOYAULT_LIVER_CANCER_SUBCLASS_G6_UP","SYSTEMATIC_NAME":"M4342","ORGANISM":"Homo sapiens","PMID":"17187432","AUTHORS":"Boyault S,Rickman DS,Reyniès de A,Balabaud C,Rebouissou S,Jeannot E,Hérault A,Saric J,Belghiti J,Franco D,Bioulac-Sage P,Laurent-Puig P,Zucman-Rossi J","EXACT_SOURCE":"Table 4S: G6_UP","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Up-regulated genes in hepatocellular carcinoma (HCC) subclass G6, defined by unsupervised clustering.","DESCRIPTION_FULL":"Hepatocellular carcinomas (HCCs) are a heterogeneous group of tumors that differ in risk factors and genetic alterations. We further investigated transcriptome-genotype-phenotype correlations in HCC. Global transcriptome analyses were performed on 57 HCCs and 3 hepatocellular adenomas and validated by quantitative RT-PCR using 63 additional HCCs. We determined loss of heterozygosity, gene mutations, promoter methylation of CDH1 and CDKN2A, and HBV DNA copy number for each tumor. Unsupervised transcriptome analysis identified 6 robust subgroups of HCC (G1-G6) associated with clinical and genetic characteristics. G1 tumors were associated with low copy number of HBV and overexpression of genes expressed in fetal liver and controlled by parental imprinting. G2 included HCCs infected with a high copy number of HBV and mutations in PIK3CA and TP53. In these first groups, we detected specific activation of the AKT pathway. G3 tumors were typified by mutation of TP53 and overexpression of genes controlling the cell cycle. G4 was a heterogeneous subgroup of tumors including TCF1-mutated hepatocellular adenomas and carcinomas. G5 and G6 were strongly related to beta-catenin mutations that lead to Wnt pathway activation; in particular, G6 tumors were characterized by satellite nodules, higher activation of the Wnt pathway, and E-cadherin underexpression. CONCLUSION: These results have furthered our understanding of the genetic diversity of human HCC and have provided specific identifiers for classifying tumors. In addition, our classification has potential therapeutic implications because 50% of the tumors were related to WNT or AKT pathway activation, which potentially could be targeted by specific inhibiting therapies."}
{"STANDARD_NAME":"BOYAULT_LIVER_CANCER_SUBCLASS_G6_DN","SYSTEMATIC_NAME":"M14414","ORGANISM":"Homo sapiens","PMID":"17187432","AUTHORS":"Boyault S,Rickman DS,Reyniès de A,Balabaud C,Rebouissou S,Jeannot E,Hérault A,Saric J,Belghiti J,Franco D,Bioulac-Sage P,Laurent-Puig P,Zucman-Rossi J","EXACT_SOURCE":"Table 4S: G6_DN","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Down-regulated genes in hepatocellular carcinoma (HCC) subclass G6, defined by unsupervised clustering.","DESCRIPTION_FULL":"Hepatocellular carcinomas (HCCs) are a heterogeneous group of tumors that differ in risk factors and genetic alterations. We further investigated transcriptome-genotype-phenotype correlations in HCC. Global transcriptome analyses were performed on 57 HCCs and 3 hepatocellular adenomas and validated by quantitative RT-PCR using 63 additional HCCs. We determined loss of heterozygosity, gene mutations, promoter methylation of CDH1 and CDKN2A, and HBV DNA copy number for each tumor. Unsupervised transcriptome analysis identified 6 robust subgroups of HCC (G1-G6) associated with clinical and genetic characteristics. G1 tumors were associated with low copy number of HBV and overexpression of genes expressed in fetal liver and controlled by parental imprinting. G2 included HCCs infected with a high copy number of HBV and mutations in PIK3CA and TP53. In these first groups, we detected specific activation of the AKT pathway. G3 tumors were typified by mutation of TP53 and overexpression of genes controlling the cell cycle. G4 was a heterogeneous subgroup of tumors including TCF1-mutated hepatocellular adenomas and carcinomas. G5 and G6 were strongly related to beta-catenin mutations that lead to Wnt pathway activation; in particular, G6 tumors were characterized by satellite nodules, higher activation of the Wnt pathway, and E-cadherin underexpression. CONCLUSION: These results have furthered our understanding of the genetic diversity of human HCC and have provided specific identifiers for classifying tumors. In addition, our classification has potential therapeutic implications because 50% of the tumors were related to WNT or AKT pathway activation, which potentially could be targeted by specific inhibiting therapies."}
{"STANDARD_NAME":"BOYAULT_LIVER_CANCER_SUBCLASS_G12_UP","SYSTEMATIC_NAME":"M15147","ORGANISM":"Homo sapiens","PMID":"17187432","AUTHORS":"Boyault S,Rickman DS,Reyniès de A,Balabaud C,Rebouissou S,Jeannot E,Hérault A,Saric J,Belghiti J,Franco D,Bioulac-Sage P,Laurent-Puig P,Zucman-Rossi J","EXACT_SOURCE":"Table 4S: G12_UP","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Up-regulated genes in hepatocellular carcinoma (HCC) subclass G12, defined by unsupervised clustering","DESCRIPTION_FULL":"Hepatocellular carcinomas (HCCs) are a heterogeneous group of tumors that differ in risk factors and genetic alterations. We further investigated transcriptome-genotype-phenotype correlations in HCC. Global transcriptome analyses were performed on 57 HCCs and 3 hepatocellular adenomas and validated by quantitative RT-PCR using 63 additional HCCs. We determined loss of heterozygosity, gene mutations, promoter methylation of CDH1 and CDKN2A, and HBV DNA copy number for each tumor. Unsupervised transcriptome analysis identified 6 robust subgroups of HCC (G1-G6) associated with clinical and genetic characteristics. G1 tumors were associated with low copy number of HBV and overexpression of genes expressed in fetal liver and controlled by parental imprinting. G2 included HCCs infected with a high copy number of HBV and mutations in PIK3CA and TP53. In these first groups, we detected specific activation of the AKT pathway. G3 tumors were typified by mutation of TP53 and overexpression of genes controlling the cell cycle. G4 was a heterogeneous subgroup of tumors including TCF1-mutated hepatocellular adenomas and carcinomas. G5 and G6 were strongly related to beta-catenin mutations that lead to Wnt pathway activation; in particular, G6 tumors were characterized by satellite nodules, higher activation of the Wnt pathway, and E-cadherin underexpression. CONCLUSION: These results have furthered our understanding of the genetic diversity of human HCC and have provided specific identifiers for classifying tumors. In addition, our classification has potential therapeutic implications because 50% of the tumors were related to WNT or AKT pathway activation, which potentially could be targeted by specific inhibiting therapies."}
{"STANDARD_NAME":"BOYAULT_LIVER_CANCER_SUBCLASS_G12_DN","SYSTEMATIC_NAME":"M12228","ORGANISM":"Homo sapiens","PMID":"17187432","AUTHORS":"Boyault S,Rickman DS,Reyniès de A,Balabaud C,Rebouissou S,Jeannot E,Hérault A,Saric J,Belghiti J,Franco D,Bioulac-Sage P,Laurent-Puig P,Zucman-Rossi J","EXACT_SOURCE":"Table 4S: G12_DN","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Down-regulated genes in hepatocellular carcinoma (HCC) subclass G12, defined by unsupervised clustering","DESCRIPTION_FULL":"Hepatocellular carcinomas (HCCs) are a heterogeneous group of tumors that differ in risk factors and genetic alterations. We further investigated transcriptome-genotype-phenotype correlations in HCC. Global transcriptome analyses were performed on 57 HCCs and 3 hepatocellular adenomas and validated by quantitative RT-PCR using 63 additional HCCs. We determined loss of heterozygosity, gene mutations, promoter methylation of CDH1 and CDKN2A, and HBV DNA copy number for each tumor. Unsupervised transcriptome analysis identified 6 robust subgroups of HCC (G1-G6) associated with clinical and genetic characteristics. G1 tumors were associated with low copy number of HBV and overexpression of genes expressed in fetal liver and controlled by parental imprinting. G2 included HCCs infected with a high copy number of HBV and mutations in PIK3CA and TP53. In these first groups, we detected specific activation of the AKT pathway. G3 tumors were typified by mutation of TP53 and overexpression of genes controlling the cell cycle. G4 was a heterogeneous subgroup of tumors including TCF1-mutated hepatocellular adenomas and carcinomas. G5 and G6 were strongly related to beta-catenin mutations that lead to Wnt pathway activation; in particular, G6 tumors were characterized by satellite nodules, higher activation of the Wnt pathway, and E-cadherin underexpression. CONCLUSION: These results have furthered our understanding of the genetic diversity of human HCC and have provided specific identifiers for classifying tumors. In addition, our classification has potential therapeutic implications because 50% of the tumors were related to WNT or AKT pathway activation, which potentially could be targeted by specific inhibiting therapies."}
{"STANDARD_NAME":"BOYAULT_LIVER_CANCER_SUBCLASS_G23_DN","SYSTEMATIC_NAME":"M12809","ORGANISM":"Homo sapiens","PMID":"17187432","AUTHORS":"Boyault S,Rickman DS,Reyniès de A,Balabaud C,Rebouissou S,Jeannot E,Hérault A,Saric J,Belghiti J,Franco D,Bioulac-Sage P,Laurent-Puig P,Zucman-Rossi J","EXACT_SOURCE":"Table 4S: G23_DN","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Down-regulated genes in hepatocellular carcinoma (HCC) subclass G23, defined by unsupervised clustering.","DESCRIPTION_FULL":"Hepatocellular carcinomas (HCCs) are a heterogeneous group of tumors that differ in risk factors and genetic alterations. We further investigated transcriptome-genotype-phenotype correlations in HCC. Global transcriptome analyses were performed on 57 HCCs and 3 hepatocellular adenomas and validated by quantitative RT-PCR using 63 additional HCCs. We determined loss of heterozygosity, gene mutations, promoter methylation of CDH1 and CDKN2A, and HBV DNA copy number for each tumor. Unsupervised transcriptome analysis identified 6 robust subgroups of HCC (G1-G6) associated with clinical and genetic characteristics. G1 tumors were associated with low copy number of HBV and overexpression of genes expressed in fetal liver and controlled by parental imprinting. G2 included HCCs infected with a high copy number of HBV and mutations in PIK3CA and TP53. In these first groups, we detected specific activation of the AKT pathway. G3 tumors were typified by mutation of TP53 and overexpression of genes controlling the cell cycle. G4 was a heterogeneous subgroup of tumors including TCF1-mutated hepatocellular adenomas and carcinomas. G5 and G6 were strongly related to beta-catenin mutations that lead to Wnt pathway activation; in particular, G6 tumors were characterized by satellite nodules, higher activation of the Wnt pathway, and E-cadherin underexpression. CONCLUSION: These results have furthered our understanding of the genetic diversity of human HCC and have provided specific identifiers for classifying tumors. In addition, our classification has potential therapeutic implications because 50% of the tumors were related to WNT or AKT pathway activation, which potentially could be targeted by specific inhibiting therapies."}
{"STANDARD_NAME":"BOYAULT_LIVER_CANCER_SUBCLASS_G56_UP","SYSTEMATIC_NAME":"M1925","ORGANISM":"Homo sapiens","PMID":"17187432","AUTHORS":"Boyault S,Rickman DS,Reyniès de A,Balabaud C,Rebouissou S,Jeannot E,Hérault A,Saric J,Belghiti J,Franco D,Bioulac-Sage P,Laurent-Puig P,Zucman-Rossi J","EXACT_SOURCE":"Table 4S: G56_UP","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Up-regulated genes in hepatocellular carcinoma (HCC) subclass G56, defined by unsupervised clustering.","DESCRIPTION_FULL":"Hepatocellular carcinomas (HCCs) are a heterogeneous group of tumors that differ in risk factors and genetic alterations. We further investigated transcriptome-genotype-phenotype correlations in HCC. Global transcriptome analyses were performed on 57 HCCs and 3 hepatocellular adenomas and validated by quantitative RT-PCR using 63 additional HCCs. We determined loss of heterozygosity, gene mutations, promoter methylation of CDH1 and CDKN2A, and HBV DNA copy number for each tumor. Unsupervised transcriptome analysis identified 6 robust subgroups of HCC (G1-G6) associated with clinical and genetic characteristics. G1 tumors were associated with low copy number of HBV and overexpression of genes expressed in fetal liver and controlled by parental imprinting. G2 included HCCs infected with a high copy number of HBV and mutations in PIK3CA and TP53. In these first groups, we detected specific activation of the AKT pathway. G3 tumors were typified by mutation of TP53 and overexpression of genes controlling the cell cycle. G4 was a heterogeneous subgroup of tumors including TCF1-mutated hepatocellular adenomas and carcinomas. G5 and G6 were strongly related to beta-catenin mutations that lead to Wnt pathway activation; in particular, G6 tumors were characterized by satellite nodules, higher activation of the Wnt pathway, and E-cadherin underexpression. CONCLUSION: These results have furthered our understanding of the genetic diversity of human HCC and have provided specific identifiers for classifying tumors. In addition, our classification has potential therapeutic implications because 50% of the tumors were related to WNT or AKT pathway activation, which potentially could be targeted by specific inhibiting therapies."}
{"STANDARD_NAME":"BOYAULT_LIVER_CANCER_SUBCLASS_G56_DN","SYSTEMATIC_NAME":"M10544","ORGANISM":"Homo sapiens","PMID":"17187432","AUTHORS":"Boyault S,Rickman DS,Reyniès de A,Balabaud C,Rebouissou S,Jeannot E,Hérault A,Saric J,Belghiti J,Franco D,Bioulac-Sage P,Laurent-Puig P,Zucman-Rossi J","EXACT_SOURCE":"Table 4S: G56_DN","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Down-regulated genes in hepatocellular carcinoma (HCC) subclass G56, defined by unsupervised clustering.","DESCRIPTION_FULL":"Hepatocellular carcinomas (HCCs) are a heterogeneous group of tumors that differ in risk factors and genetic alterations. We further investigated transcriptome-genotype-phenotype correlations in HCC. Global transcriptome analyses were performed on 57 HCCs and 3 hepatocellular adenomas and validated by quantitative RT-PCR using 63 additional HCCs. We determined loss of heterozygosity, gene mutations, promoter methylation of CDH1 and CDKN2A, and HBV DNA copy number for each tumor. Unsupervised transcriptome analysis identified 6 robust subgroups of HCC (G1-G6) associated with clinical and genetic characteristics. G1 tumors were associated with low copy number of HBV and overexpression of genes expressed in fetal liver and controlled by parental imprinting. G2 included HCCs infected with a high copy number of HBV and mutations in PIK3CA and TP53. In these first groups, we detected specific activation of the AKT pathway. G3 tumors were typified by mutation of TP53 and overexpression of genes controlling the cell cycle. G4 was a heterogeneous subgroup of tumors including TCF1-mutated hepatocellular adenomas and carcinomas. G5 and G6 were strongly related to beta-catenin mutations that lead to Wnt pathway activation; in particular, G6 tumors were characterized by satellite nodules, higher activation of the Wnt pathway, and E-cadherin underexpression. CONCLUSION: These results have furthered our understanding of the genetic diversity of human HCC and have provided specific identifiers for classifying tumors. In addition, our classification has potential therapeutic implications because 50% of the tumors were related to WNT or AKT pathway activation, which potentially could be targeted by specific inhibiting therapies."}
{"STANDARD_NAME":"CHIANG_LIVER_CANCER_SUBCLASS_CTNNB1_UP","SYSTEMATIC_NAME":"M16496","ORGANISM":"Homo sapiens","PMID":"18701503","AUTHORS":"Chiang DY,Villanueva A,Hoshida Y,Peix J,Newell P,Minguez B,LeBlanc AC,Donovan DJ,Thung SN,Solé M,Tovar V,Alsinet C,Ramos AH,Barretina J,Roayaie S,Schwartz M,Waxman S,Bruix J,Mazzaferro V,Ligon AH,Najfeld V,Friedman SL,Sellers WR,Meyerson M,Llovet JM","GEOID":"GSE9843","EXACT_SOURCE":"Table 6S: Overexpressed in CTNNB1 class","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Top 200 marker genes up-regulated in the 'CTNNB1' subclass of hepatocellular carcinoma (HCC); characterized by activated CTNNB1 [GeneID=1499].","DESCRIPTION_FULL":"Hepatocellular carcinomas represent the third leading cause of cancer-related deaths worldwide. The vast majority of cases arise in the context of chronic liver injury due to hepatitis B virus or hepatitis C virus infection. To identify genetic mechanisms of hepatocarcinogenesis, we characterized copy number alterations and gene expression profiles from the same set of tumors associated with hepatitis C virus. Most tumors harbored 1q gain, 8q gain, or 8p loss, with occasional alterations in 13 additional chromosome arms. In addition to amplifications at 11q13 in 6 of 103 tumors, 4 tumors harbored focal gains at 6p21 incorporating vascular endothelial growth factor A (VEGFA). Fluorescence in situ hybridization on an independent validation set of 210 tumors found 6p21 high-level gains in 14 tumors, as well as 2 tumors with 6p21 amplifications. Strikingly, this locus overlapped with copy gains in 4 of 371 lung adenocarcinomas. Overexpression of VEGFA via 6p21 gain in hepatocellular carcinomas suggested a novel, non-cell-autonomous mechanism of oncogene activation. Hierarchical clustering of gene expression among 91 of these tumors identified five classes, including CTNNB1, proliferation, IFN-related, a novel class defined by polysomy of chromosome 7, and an unannotated class. These class labels were further supported by molecular data; mutations in CTNNB1 were enriched in the CTNNB1 class, whereas insulin-like growth factor I receptor and RPS6 phosphorylation were enriched in the proliferation class. The enrichment of signaling pathway alterations in gene expression classes provides insights on hepatocellular carcinoma pathogenesis. Furthermore, the prevalence of VEGFA high-level gains in multiple tumor types suggests indications for clinical trials of antiangiogenic therapies."}
{"STANDARD_NAME":"CHIANG_LIVER_CANCER_SUBCLASS_INTERFERON_DN","SYSTEMATIC_NAME":"M14353","ORGANISM":"Homo sapiens","PMID":"18701503","AUTHORS":"Chiang DY,Villanueva A,Hoshida Y,Peix J,Newell P,Minguez B,LeBlanc AC,Donovan DJ,Thung SN,Solé M,Tovar V,Alsinet C,Ramos AH,Barretina J,Roayaie S,Schwartz M,Waxman S,Bruix J,Mazzaferro V,Ligon AH,Najfeld V,Friedman SL,Sellers WR,Meyerson M,Llovet JM","GEOID":"GSE9843","EXACT_SOURCE":"Table 8S: Underexpressed in Interferon class","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"All marker genes down-regulated in the 'interferon' subclass of hepatocellular carcinoma (HCC).","DESCRIPTION_FULL":"Hepatocellular carcinomas represent the third leading cause of cancer-related deaths worldwide. The vast majority of cases arise in the context of chronic liver injury due to hepatitis B virus or hepatitis C virus infection. To identify genetic mechanisms of hepatocarcinogenesis, we characterized copy number alterations and gene expression profiles from the same set of tumors associated with hepatitis C virus. Most tumors harbored 1q gain, 8q gain, or 8p loss, with occasional alterations in 13 additional chromosome arms. In addition to amplifications at 11q13 in 6 of 103 tumors, 4 tumors harbored focal gains at 6p21 incorporating vascular endothelial growth factor A (VEGFA). Fluorescence in situ hybridization on an independent validation set of 210 tumors found 6p21 high-level gains in 14 tumors, as well as 2 tumors with 6p21 amplifications. Strikingly, this locus overlapped with copy gains in 4 of 371 lung adenocarcinomas. Overexpression of VEGFA via 6p21 gain in hepatocellular carcinomas suggested a novel, non-cell-autonomous mechanism of oncogene activation. Hierarchical clustering of gene expression among 91 of these tumors identified five classes, including CTNNB1, proliferation, IFN-related, a novel class defined by polysomy of chromosome 7, and an unannotated class. These class labels were further supported by molecular data; mutations in CTNNB1 were enriched in the CTNNB1 class, whereas insulin-like growth factor I receptor and RPS6 phosphorylation were enriched in the proliferation class. The enrichment of signaling pathway alterations in gene expression classes provides insights on hepatocellular carcinoma pathogenesis. Furthermore, the prevalence of VEGFA high-level gains in multiple tumor types suggests indications for clinical trials of antiangiogenic therapies."}
{"STANDARD_NAME":"CHIANG_LIVER_CANCER_SUBCLASS_POLYSOMY7_UP","SYSTEMATIC_NAME":"M834","ORGANISM":"Homo sapiens","PMID":"18701503","AUTHORS":"Chiang DY,Villanueva A,Hoshida Y,Peix J,Newell P,Minguez B,LeBlanc AC,Donovan DJ,Thung SN,Solé M,Tovar V,Alsinet C,Ramos AH,Barretina J,Roayaie S,Schwartz M,Waxman S,Bruix J,Mazzaferro V,Ligon AH,Najfeld V,Friedman SL,Sellers WR,Meyerson M,Llovet JM","GEOID":"GSE9843","EXACT_SOURCE":"Table 9S: Overexpressed in Chr 7 polysomy class","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Marker genes up-regulated in the 'chromosome 7 polysomy' subclass of hepatocellular carcinoma (HCC); characterized by polysomy of chromosome 7 and by a lack of gains of chromosome 8q.","DESCRIPTION_FULL":"Hepatocellular carcinomas represent the third leading cause of cancer-related deaths worldwide. The vast majority of cases arise in the context of chronic liver injury due to hepatitis B virus or hepatitis C virus infection. To identify genetic mechanisms of hepatocarcinogenesis, we characterized copy number alterations and gene expression profiles from the same set of tumors associated with hepatitis C virus. Most tumors harbored 1q gain, 8q gain, or 8p loss, with occasional alterations in 13 additional chromosome arms. In addition to amplifications at 11q13 in 6 of 103 tumors, 4 tumors harbored focal gains at 6p21 incorporating vascular endothelial growth factor A (VEGFA). Fluorescence in situ hybridization on an independent validation set of 210 tumors found 6p21 high-level gains in 14 tumors, as well as 2 tumors with 6p21 amplifications. Strikingly, this locus overlapped with copy gains in 4 of 371 lung adenocarcinomas. Overexpression of VEGFA via 6p21 gain in hepatocellular carcinomas suggested a novel, non-cell-autonomous mechanism of oncogene activation. Hierarchical clustering of gene expression among 91 of these tumors identified five classes, including CTNNB1, proliferation, IFN-related, a novel class defined by polysomy of chromosome 7, and an unannotated class. These class labels were further supported by molecular data; mutations in CTNNB1 were enriched in the CTNNB1 class, whereas insulin-like growth factor I receptor and RPS6 phosphorylation were enriched in the proliferation class. The enrichment of signaling pathway alterations in gene expression classes provides insights on hepatocellular carcinoma pathogenesis. Furthermore, the prevalence of VEGFA high-level gains in multiple tumor types suggests indications for clinical trials of antiangiogenic therapies."}
{"STANDARD_NAME":"CHIANG_LIVER_CANCER_SUBCLASS_POLYSOMY7_DN","SYSTEMATIC_NAME":"M7678","ORGANISM":"Homo sapiens","PMID":"18701503","AUTHORS":"Chiang DY,Villanueva A,Hoshida Y,Peix J,Newell P,Minguez B,LeBlanc AC,Donovan DJ,Thung SN,Solé M,Tovar V,Alsinet C,Ramos AH,Barretina J,Roayaie S,Schwartz M,Waxman S,Bruix J,Mazzaferro V,Ligon AH,Najfeld V,Friedman SL,Sellers WR,Meyerson M,Llovet JM","GEOID":"GSE9843","EXACT_SOURCE":"Table 9S: Underexpressed in Chr 7 polysomy class","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Marker genes down-regulated in the 'chromosome 7 polysomy' subclass of hepatocellular carcinoma (HCC); characterized by polysomy of chromosome 7 and by a lack of gains of chromosome 8q.","DESCRIPTION_FULL":"Hepatocellular carcinomas represent the third leading cause of cancer-related deaths worldwide. The vast majority of cases arise in the context of chronic liver injury due to hepatitis B virus or hepatitis C virus infection. To identify genetic mechanisms of hepatocarcinogenesis, we characterized copy number alterations and gene expression profiles from the same set of tumors associated with hepatitis C virus. Most tumors harbored 1q gain, 8q gain, or 8p loss, with occasional alterations in 13 additional chromosome arms. In addition to amplifications at 11q13 in 6 of 103 tumors, 4 tumors harbored focal gains at 6p21 incorporating vascular endothelial growth factor A (VEGFA). Fluorescence in situ hybridization on an independent validation set of 210 tumors found 6p21 high-level gains in 14 tumors, as well as 2 tumors with 6p21 amplifications. Strikingly, this locus overlapped with copy gains in 4 of 371 lung adenocarcinomas. Overexpression of VEGFA via 6p21 gain in hepatocellular carcinomas suggested a novel, non-cell-autonomous mechanism of oncogene activation. Hierarchical clustering of gene expression among 91 of these tumors identified five classes, including CTNNB1, proliferation, IFN-related, a novel class defined by polysomy of chromosome 7, and an unannotated class. These class labels were further supported by molecular data; mutations in CTNNB1 were enriched in the CTNNB1 class, whereas insulin-like growth factor I receptor and RPS6 phosphorylation were enriched in the proliferation class. The enrichment of signaling pathway alterations in gene expression classes provides insights on hepatocellular carcinoma pathogenesis. Furthermore, the prevalence of VEGFA high-level gains in multiple tumor types suggests indications for clinical trials of antiangiogenic therapies."}
{"STANDARD_NAME":"CHIANG_LIVER_CANCER_SUBCLASS_UNANNOTATED_UP","SYSTEMATIC_NAME":"M19610","ORGANISM":"Homo sapiens","PMID":"18701503","AUTHORS":"Chiang DY,Villanueva A,Hoshida Y,Peix J,Newell P,Minguez B,LeBlanc AC,Donovan DJ,Thung SN,Solé M,Tovar V,Alsinet C,Ramos AH,Barretina J,Roayaie S,Schwartz M,Waxman S,Bruix J,Mazzaferro V,Ligon AH,Najfeld V,Friedman SL,Sellers WR,Meyerson M,Llovet JM","GEOID":"GSE9843","EXACT_SOURCE":"Table 10S: Overexpressed in unannotated class","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Marker genes up-regulated in the 'unannotated' subclass of hepatocellular carcinoma (HCC) samples.","DESCRIPTION_FULL":"Hepatocellular carcinomas represent the third leading cause of cancer-related deaths worldwide. The vast majority of cases arise in the context of chronic liver injury due to hepatitis B virus or hepatitis C virus infection. To identify genetic mechanisms of hepatocarcinogenesis, we characterized copy number alterations and gene expression profiles from the same set of tumors associated with hepatitis C virus. Most tumors harbored 1q gain, 8q gain, or 8p loss, with occasional alterations in 13 additional chromosome arms. In addition to amplifications at 11q13 in 6 of 103 tumors, 4 tumors harbored focal gains at 6p21 incorporating vascular endothelial growth factor A (VEGFA). Fluorescence in situ hybridization on an independent validation set of 210 tumors found 6p21 high-level gains in 14 tumors, as well as 2 tumors with 6p21 amplifications. Strikingly, this locus overlapped with copy gains in 4 of 371 lung adenocarcinomas. Overexpression of VEGFA via 6p21 gain in hepatocellular carcinomas suggested a novel, non-cell-autonomous mechanism of oncogene activation. Hierarchical clustering of gene expression among 91 of these tumors identified five classes, including CTNNB1, proliferation, IFN-related, a novel class defined by polysomy of chromosome 7, and an unannotated class. These class labels were further supported by molecular data; mutations in CTNNB1 were enriched in the CTNNB1 class, whereas insulin-like growth factor I receptor and RPS6 phosphorylation were enriched in the proliferation class. The enrichment of signaling pathway alterations in gene expression classes provides insights on hepatocellular carcinoma pathogenesis. Furthermore, the prevalence of VEGFA high-level gains in multiple tumor types suggests indications for clinical trials of antiangiogenic therapies."}
{"STANDARD_NAME":"COULOUARN_TEMPORAL_TGFB1_SIGNATURE_UP","SYSTEMATIC_NAME":"M18762","ORGANISM":"Homo sapiens","PMID":"18506891","AUTHORS":"Coulouarn C,Factor VM,Thorgeirsson SS","GEOID":"GSE1898,GSE4024","EXACT_SOURCE":"Table 2S","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"'Late-TGFB1 signature': genes overexpressed in primary hepatocytes at a late phase of TGFB1 [GeneID=7040] treatment; is associated with a more invasive phenotype.","DESCRIPTION_FULL":"Hepatocellular carcinoma (HCC) is one of the most common cancers in the world. The clinical heterogeneity of HCC, and the lack of good diagnostic markers and treatment strategies, has rendered the disease a major challenge. Patients with HCC have a highly variable clinical course, indicating that HCC comprises several biologically distinctive subgroups reflecting a molecular heterogeneity of the tumors. Transforming growth factor beta (TGF-beta) is known to exhibit tumor stage dependent suppressive (that is, growth inhibition) and oncogenic (that is, invasiveness) properties. Here, we asked if a TGF-beta specific gene expression signature could refine the classification and prognostic predictions for HCC patients. Applying a comparative functional genomics approach we demonstrated that a temporal TGF-beta gene expression signature established in mouse primary hepatocytes successfully discriminated distinct subgroups of HCC. The TGF-beta positive cluster included two novel homogeneous groups of HCC associated with early and late TGF-beta signatures. Kaplan-Meier plots and log-rank statistics indicated that the patients with a late TGF-beta signature showed significantly (P < 0.005) shortened mean survival time (16.2 +/- 5.3 months) compared to the patients with an early (60.7 +/- 16.1 months) TGF-beta signature. Also, tumors expressing late TGF-beta-responsive genes displayed invasive phenotype and increased tumor recurrence. We also showed that the late TGF-beta signature accurately predicted liver metastasis and discriminated HCC cell lines by degree of invasiveness. Finally, we established that the TGF-beta gene expression signature possessed a predictive value for tumors other than HCC. CONCLUSION: These data demonstrate the clinical significance of the genes embedded in TGF-beta expression signature for the molecular classification of HCC."}
{"STANDARD_NAME":"HOSHIDA_LIVER_CANCER_LATE_RECURRENCE_UP","SYSTEMATIC_NAME":"M6176","ORGANISM":"Homo sapiens","PMID":"18923165","AUTHORS":"Hoshida Y,Villanueva A,Kobayashi M,Peix J,Chiang DY,Camargo A,Gupta S,Moore J,Wrobel MJ,Lerner J,Reich M,Chan JA,Glickman JN,Ikeda K,Hashimoto M,Watanabe G,Daidone MG,Roayaie S,Schwartz M,Thung S,Salvesen HB,Gabriel S,Mazzaferro V,Bruix J,Friedman SL,Kumada H,Llovet JM,Golub TR","GEOID":"GSE10143","EXACT_SOURCE":"Fig. 3D","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes whose expression correlated with higher risk of late recurrence of hepatocellular carcinoma (HCC).","DESCRIPTION_FULL":"BACKGROUND: It is a challenge to identify patients who, after undergoing potentially curative treatment for hepatocellular carcinoma, are at greatest risk for recurrence. Such high-risk patients could receive novel interventional measures. An obstacle to the development of genome-based predictors of outcome in patients with hepatocellular carcinoma has been the lack of a means to carry out genomewide expression profiling of fixed, as opposed to frozen, tissue. METHODS: We aimed to demonstrate the feasibility of gene-expression profiling of more than 6000 human genes in formalin-fixed, paraffin-embedded tissues. We applied the method to tissues from 307 patients with hepatocellular carcinoma, from four series of patients, to discover and validate a gene-expression signature associated with survival. RESULTS: The expression-profiling method for formalin-fixed, paraffin-embedded tissue was highly effective: samples from 90% of the patients yielded data of high quality, including samples that had been archived for more than 24 years. Gene-expression profiles of tumor tissue failed to yield a significant association with survival. In contrast, profiles of the surrounding nontumoral liver tissue were highly correlated with survival in a training set of tissue samples from 82 Japanese patients, and the signature was validated in tissues from an independent group of 225 patients from the United States and Europe (P=0.04). CONCLUSIONS: We have demonstrated the feasibility of genomewide expression profiling of formalin-fixed, paraffin-embedded tissues and have shown that a reproducible gene-expression signature correlated with survival is present in liver tissue adjacent to the tumor in patients with hepatocellular carcinoma."}
{"STANDARD_NAME":"HOSHIDA_LIVER_CANCER_SURVIVAL_UP","SYSTEMATIC_NAME":"M6939","ORGANISM":"Homo sapiens","PMID":"18923165","AUTHORS":"Hoshida Y,Villanueva A,Kobayashi M,Peix J,Chiang DY,Camargo A,Gupta S,Moore J,Wrobel MJ,Lerner J,Reich M,Chan JA,Glickman JN,Ikeda K,Hashimoto M,Watanabe G,Daidone MG,Roayaie S,Schwartz M,Thung S,Salvesen HB,Gabriel S,Mazzaferro V,Bruix J,Friedman SL,Kumada H,Llovet JM,Golub TR","EXACT_SOURCE":"Table 2S: poor survival","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Survival signature genes defined in adjacent liver tissue: genes correlated with poor survival of hepatocellular carcinoma (HCC) patients.","DESCRIPTION_FULL":"BACKGROUND: It is a challenge to identify patients who, after undergoing potentially curative treatment for hepatocellular carcinoma, are at greatest risk for recurrence. Such high-risk patients could receive novel interventional measures. An obstacle to the development of genome-based predictors of outcome in patients with hepatocellular carcinoma has been the lack of a means to carry out genomewide expression profiling of fixed, as opposed to frozen, tissue. METHODS: We aimed to demonstrate the feasibility of gene-expression profiling of more than 6000 human genes in formalin-fixed, paraffin-embedded tissues. We applied the method to tissues from 307 patients with hepatocellular carcinoma, from four series of patients, to discover and validate a gene-expression signature associated with survival. RESULTS: The expression-profiling method for formalin-fixed, paraffin-embedded tissue was highly effective: samples from 90% of the patients yielded data of high quality, including samples that had been archived for more than 24 years. Gene-expression profiles of tumor tissue failed to yield a significant association with survival. In contrast, profiles of the surrounding nontumoral liver tissue were highly correlated with survival in a training set of tissue samples from 82 Japanese patients, and the signature was validated in tissues from an independent group of 225 patients from the United States and Europe (P=0.04). CONCLUSIONS: We have demonstrated the feasibility of genomewide expression profiling of formalin-fixed, paraffin-embedded tissues and have shown that a reproducible gene-expression signature correlated with survival is present in liver tissue adjacent to the tumor in patients with hepatocellular carcinoma."}
{"STANDARD_NAME":"KAPOSI_LIVER_CANCER_MET_UP","SYSTEMATIC_NAME":"M5755","ORGANISM":"Homo sapiens","PMID":"16710476","AUTHORS":"Kaposi-Novak P,Lee JS,Gòmez-Quiroz L,Coulouarn C,Factor VM,Thorgeirsson SS","EXACT_SOURCE":"Table 4","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Selected up-regulated MET [GeneID=4233] target genes from a classifier of hepatocellular carcinoma (HCC) cases; associated with poor survival.","DESCRIPTION_FULL":"Identification of specific gene expression signatures characteristic of oncogenic pathways is an important step toward molecular classification of human malignancies. Aberrant activation of the Met signaling pathway is frequently associated with tumor progression and metastasis. In this study, we defined the Met-dependent gene expression signature using global gene expression profiling of WT and Met-deficient primary mouse hepatocytes. Newly identified transcriptional targets of the Met pathway included genes involved in the regulation of oxidative stress responses as well as cell motility, cytoskeletal organization, and angiogenesis. To assess the importance of a Met-regulated gene expression signature, a comparative functional genomic approach was applied to 242 human hepatocellular carcinomas (HCCs) and 7 metastatic liver lesions. Cluster analysis revealed that a subset of human HCCs and all liver metastases shared the Met-induced expression signature. Furthermore, the presence of the Met signature showed significant correlation with increased vascular invasion rate and microvessel density as well as with decreased mean survival time of HCC patients. We conclude that the genetically defined gene expression signatures in combination with comparative functional genomics constitute an attractive paradigm for defining both the function of oncogenic pathways and the clinically relevant subgroups of human cancers."}
{"STANDARD_NAME":"LEE_LIVER_CANCER_HEPATOBLAST","SYSTEMATIC_NAME":"M13123","ORGANISM":"Homo sapiens","PMID":"16532004","AUTHORS":"Lee JS,Heo J,Libbrecht L,Chu IS,Kaposi-Novak P,Calvisi DF,Mikaelyan A,Roberts LR,Demetris AJ,Sun Z,Nevens F,Roskams T,Thorgeirsson SS","EXACT_SOURCE":"Fig.5","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Fig.5, Supplementary Fig.2 Genes overexpressed in human hepatocellular carcinoma with hepatoblast property","DESCRIPTION_FULL":"The variability in the prognosis of individuals with hepatocellular carcinoma (HCC) suggests that HCC may comprise several distinct biological phenotypes. These phenotypes may result from activation of different oncogenic pathways during tumorigenesis and/or from a different cell of origin. Here we address whether the transcriptional characteristics of HCC can provide insight into the cellular origin of the tumor. We integrated gene expression data from rat fetal hepatoblasts and adult hepatocytes with HCC from human and mouse models. Individuals with HCC who shared a gene expression pattern with fetal hepatoblasts had a poor prognosis. The gene expression program that distinguished this subtype from other types of HCC included markers of hepatic oval cells, suggesting that HCC of this subtype may arise from hepatic progenitor cells. Analyses of gene networks showed that activation of AP-1 transcription factors in this newly identified HCC subtype might have key roles in tumor development."}
{"STANDARD_NAME":"WANG_RECURRENT_LIVER_CANCER_UP","SYSTEMATIC_NAME":"M10922","ORGANISM":"Homo sapiens","PMID":"17975138","AUTHORS":"Wang SM,Ooi LL,Hui KM","GEOID":"E-TABM-292,E-MEXP-84","EXACT_SOURCE":"Fig.3A","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes up-regulated in samples from patients with recurrent hepatocellular carcinoma (HCC).","DESCRIPTION_FULL":"PURPOSE: To improve the clinical management of human hepatocellular carcinoma (HCC) by accurate identification, at diagnosis, of patients at risk of recurrence after primary treatment for HCC. EXPERIMENTAL DESIGN: Two clinicopathologic variables available at diagnosis, vascular invasion and cirrhosis, together with molecular profiling using Affymetrix human HG-U133A and HG-U133B oligonucleotide probe arrays, were used to identify recurrent HCC disease. RESULTS: HCC patients presented clinically at diagnosis with vascular invasion and cirrhosis showed a high rate (78-83%) of developing recurrent disease within 6 to 35 months. In comparison, most of the HCC patients (80-100%) without vascular invasion and cirrhosis remained disease-free. However, the risk of recurrent disease for HCC patients with either vascular invasion or cirrhosis could not be accurately ascertained. Using a pool of 23 HCC patients with either vascular invasion or cirrhosis as training set, a 57-gene signature was derived and could predict recurrent disease at diagnosis, with 84% (sensitivity 86%, specificity 82%) accuracy, for a totally independent test set of 25 HCC patients with either vascular invasion or cirrhosis. On further analysis, the disease-free rate was significantly different between patients that were predicted to recur or not to recur in the test group (P = 0.002). CONCLUSION: We have presented data to show that by incorporating the status of vascular invasion and cirrhosis available at diagnosis for patients with HCC after partial curative hepatectomy and a novel 57-member gene signature, we could accurately stratify HCC patients with different risks of recurrence."}
{"STANDARD_NAME":"WANG_RECURRENT_LIVER_CANCER_DN","SYSTEMATIC_NAME":"M13077","ORGANISM":"Homo sapiens","PMID":"17975138","AUTHORS":"Wang SM,Ooi LL,Hui KM","GEOID":"E-TABM-292,E-MEXP-84","EXACT_SOURCE":"Fig.3C","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes down-regulated in samples from patients with recurrent hepatocellular carcinoma (HCC).","DESCRIPTION_FULL":"PURPOSE: To improve the clinical management of human hepatocellular carcinoma (HCC) by accurate identification, at diagnosis, of patients at risk of recurrence after primary treatment for HCC. EXPERIMENTAL DESIGN: Two clinicopathologic variables available at diagnosis, vascular invasion and cirrhosis, together with molecular profiling using Affymetrix human HG-U133A and HG-U133B oligonucleotide probe arrays, were used to identify recurrent HCC disease. RESULTS: HCC patients presented clinically at diagnosis with vascular invasion and cirrhosis showed a high rate (78-83%) of developing recurrent disease within 6 to 35 months. In comparison, most of the HCC patients (80-100%) without vascular invasion and cirrhosis remained disease-free. However, the risk of recurrent disease for HCC patients with either vascular invasion or cirrhosis could not be accurately ascertained. Using a pool of 23 HCC patients with either vascular invasion or cirrhosis as training set, a 57-gene signature was derived and could predict recurrent disease at diagnosis, with 84% (sensitivity 86%, specificity 82%) accuracy, for a totally independent test set of 25 HCC patients with either vascular invasion or cirrhosis. On further analysis, the disease-free rate was significantly different between patients that were predicted to recur or not to recur in the test group (P = 0.002). CONCLUSION: We have presented data to show that by incorporating the status of vascular invasion and cirrhosis available at diagnosis for patients with HCC after partial curative hepatectomy and a novel 57-member gene signature, we could accurately stratify HCC patients with different risks of recurrence."}
{"STANDARD_NAME":"YAMANAKA_GLIOBLASTOMA_SURVIVAL_UP","SYSTEMATIC_NAME":"M5457","ORGANISM":"Homo sapiens","PMID":"16652150","AUTHORS":"Yamanaka R,Arao T,Yajima N,Tsuchiya N,Homma J,Tanaka R,Sano M,Oide A,Sekijima M,Nishio K","EXACT_SOURCE":"Table 3: hazard ratio < 1","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes whose expression most strongly and consistently associated with the long term survival of patients with high grade glioma tumors.","DESCRIPTION_FULL":"Better understanding of the underlying biology of malignant gliomas is critical for the development of early detection strategies and new therapeutics. This study aimed to define genes associated with survival. We investigated whether genes coupled with a class prediction model could be used to define subgroups of high-grade gliomas in a more objective manner than standard pathology. RNAs from 29 malignant gliomas were analysed using Agilent microarrays. We identified 21 genes whose expression was most strongly and consistently related to patient survival based on univariate proportional hazards models. In six out of 10 genes, changes in gene expression were validated by quantitative real-time PCR. After adjusting for clinical covariates based on a multivariate analysis, we finally obtained a statistical significance level for DDR1 (discoidin domain receptor family, member 1), DYRK3 (dual-specificity tyrosine-(Y)-phosphorylation-regulated kinase 3) and KSP37 (Ksp37 protein). In independent samples, it was confirmed that DDR1 protein expression was also correlated to the prognosis of glioma patients detected by immunohistochemical staining. Furthermore, we analysed the efficacy of the short interfering RNA (siRNA)-mediated inhibition of DDR1 mRNA synthesis in glioma cell lines. Cell proliferation and invasion were significantly suppressed by siRNA against DDR1. Thus, DDR1 can be a novel molecular target of therapy as well as an important predictive marker for survival in patients with glioma. Our method was effective at classifying high-grade gliomas objectively, and provided a more accurate predictor of prognosis than histological grading."}
{"STANDARD_NAME":"YAMANAKA_GLIOBLASTOMA_SURVIVAL_DN","SYSTEMATIC_NAME":"M1948","ORGANISM":"Homo sapiens","PMID":"16652150","AUTHORS":"Yamanaka R,Arao T,Yajima N,Tsuchiya N,Homma J,Tanaka R,Sano M,Oide A,Sekijima M,Nishio K","EXACT_SOURCE":"Table 3: hazard ratio > 1","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes whose expression most strongly and consistently associated with the short term survival of patients with high grade glioma tumors.","DESCRIPTION_FULL":"Better understanding of the underlying biology of malignant gliomas is critical for the development of early detection strategies and new therapeutics. This study aimed to define genes associated with survival. We investigated whether genes coupled with a class prediction model could be used to define subgroups of high-grade gliomas in a more objective manner than standard pathology. RNAs from 29 malignant gliomas were analysed using Agilent microarrays. We identified 21 genes whose expression was most strongly and consistently related to patient survival based on univariate proportional hazards models. In six out of 10 genes, changes in gene expression were validated by quantitative real-time PCR. After adjusting for clinical covariates based on a multivariate analysis, we finally obtained a statistical significance level for DDR1 (discoidin domain receptor family, member 1), DYRK3 (dual-specificity tyrosine-(Y)-phosphorylation-regulated kinase 3) and KSP37 (Ksp37 protein). In independent samples, it was confirmed that DDR1 protein expression was also correlated to the prognosis of glioma patients detected by immunohistochemical staining. Furthermore, we analysed the efficacy of the short interfering RNA (siRNA)-mediated inhibition of DDR1 mRNA synthesis in glioma cell lines. Cell proliferation and invasion were significantly suppressed by siRNA against DDR1. Thus, DDR1 can be a novel molecular target of therapy as well as an important predictive marker for survival in patients with glioma. Our method was effective at classifying high-grade gliomas objectively, and provided a more accurate predictor of prognosis than histological grading."}
{"STANDARD_NAME":"MONTERO_THYROID_CANCER_POOR_SURVIVAL_DN","SYSTEMATIC_NAME":"M6972","ORGANISM":"Homo sapiens","PMID":"17873908","AUTHORS":"Montero-Conde C,Martín-Campos JM,Lerma E,Gimenez G,Martínez-Guitarte JL,Combalía N,Montaner D,Matías-Guiu X,Dopazo J,Leiva de A,Robledo M,Mauricio D","EXACT_SOURCE":"Table 3: fold change PPTC/NPPTC < 0","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated genes predicting poor survival of patients with thyroid carcinoma.","DESCRIPTION_FULL":"Undifferentiated and poorly differentiated thyroid tumors are responsible for more than half of thyroid cancer patient deaths in spite of their low incidence. Conventional treatments do not obtain substantial benefits, and the lack of alternative approaches limits patient survival. Additionally, the absence of prognostic markers for well-differentiated tumors complicates patient-specific treatments and favors the progression of recurrent forms. In order to recognize the molecular basis involved in tumor dedifferentiation and identify potential markers for thyroid cancer prognosis prediction, we analysed the expression profile of 44 thyroid primary tumors with different degrees of dedifferentiation and aggressiveness using cDNA microarrays. Transcriptome comparison of dedifferentiated and well-differentiated thyroid tumors identified 1031 genes with >2-fold difference in absolute values and false discovery rate of <0.15. According to known molecular interaction and reaction networks, the products of these genes were mainly clustered in the MAPkinase signaling pathway, the TGF-beta signaling pathway, focal adhesion and cell motility, activation of actin polymerization and cell cycle. An exhaustive search in several databases allowed us to identify various members of the matrix metalloproteinase, melanoma antigen A and collagen gene families within the upregulated gene set. We also identified a prognosis classifier comprising just 30 transcripts with an overall accuracy of 95%. These findings may clarify the molecular mechanisms involved in thyroid tumor dedifferentiation and provide a potential prognosis predictor as well as targets for new therapies."}
{"STANDARD_NAME":"YAGI_AML_WITH_T_8_21_TRANSLOCATION","SYSTEMATIC_NAME":"M19261","ORGANISM":"Homo sapiens","PMID":"12738660","AUTHORS":"Yagi T,Morimoto A,Eguchi M,Hibi S,Sako M,Ishii E,Mizutani S,Imashuku S,Ohki M,Ichikawa H","GEOID":"GSE2191","EXACT_SOURCE":"Table 4S: t(8;21)-specific probe sets (424 probe sets)","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes specifically expressed in samples from patients with pediatric AML (acute myeloid leukemia ) bearing t(8;21) translocation.","DESCRIPTION_FULL":"Most patients with acute myeloid leukemia (AML) enter complete remission (CR) after treatment with chemotherapy, but a large number of them experience relapse with resistant disease. To identify genes that are associated with their prognoses, we analyzed gene expression in 54 pediatric patients with AML using an oligonucleotide microarray that contained 12 566 probe sets. A supervised approach using the Student t test selected a prognostic set of 35 genes, some of which are associated with the regulation of cell cycle and apoptosis. Most of these genes had not previously been reported to be associated with prognosis and were not correlated with morphologically classified French-American-British (FAB) subtypes or with karyotypes. These results indicate the existence of prognosis-associated genes that are independent of cell lineage and cytogenetic abnormalities, and they can provide therapeutic direction for individual risk-adapted therapy for pediatric AML patients."}
{"STANDARD_NAME":"YAGI_AML_WITH_T_9_11_TRANSLOCATION","SYSTEMATIC_NAME":"M16922","ORGANISM":"Homo sapiens","PMID":"12738660","AUTHORS":"Yagi T,Morimoto A,Eguchi M,Hibi S,Sako M,Ishii E,Mizutani S,Imashuku S,Ohki M,Ichikawa H","GEOID":"GSE2191","EXACT_SOURCE":"Table 4S: t(9;11)-specific probe sets (144 probe sets)","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes specifically expressed in samples from patients with pediatric acute myeloid leukemia (AML) bearing t(9;11) translocation.","DESCRIPTION_FULL":"Most patients with acute myeloid leukemia (AML) enter complete remission (CR) after treatment with chemotherapy, but a large number of them experience relapse with resistant disease. To identify genes that are associated with their prognoses, we analyzed gene expression in 54 pediatric patients with AML using an oligonucleotide microarray that contained 12 566 probe sets. A supervised approach using the Student t test selected a prognostic set of 35 genes, some of which are associated with the regulation of cell cycle and apoptosis. Most of these genes had not previously been reported to be associated with prognosis and were not correlated with morphologically classified French-American-British (FAB) subtypes or with karyotypes. These results indicate the existence of prognosis-associated genes that are independent of cell lineage and cytogenetic abnormalities, and they can provide therapeutic direction for individual risk-adapted therapy for pediatric AML patients."}
{"STANDARD_NAME":"YAGI_AML_WITH_11Q23_REARRANGED","SYSTEMATIC_NAME":"M17123","ORGANISM":"Homo sapiens","PMID":"12738660","AUTHORS":"Yagi T,Morimoto A,Eguchi M,Hibi S,Sako M,Ishii E,Mizutani S,Imashuku S,Ohki M,Ichikawa H","GEOID":"GSE2191","EXACT_SOURCE":"Table 4S: 11q23 rearragement-specific probe sets (388 probe sets)","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes specifically expressed in samples from patients with pediatric acute myeloid leukemia (AML) bearing 11q23 rearrangements.","DESCRIPTION_FULL":"Most patients with acute myeloid leukemia (AML) enter complete remission (CR) after treatment with chemotherapy, but a large number of them experience relapse with resistant disease. To identify genes that are associated with their prognoses, we analyzed gene expression in 54 pediatric patients with AML using an oligonucleotide microarray that contained 12 566 probe sets. A supervised approach using the Student t test selected a prognostic set of 35 genes, some of which are associated with the regulation of cell cycle and apoptosis. Most of these genes had not previously been reported to be associated with prognosis and were not correlated with morphologically classified French-American-British (FAB) subtypes or with karyotypes. These results indicate the existence of prognosis-associated genes that are independent of cell lineage and cytogenetic abnormalities, and they can provide therapeutic direction for individual risk-adapted therapy for pediatric AML patients."}
{"STANDARD_NAME":"MEISSNER_NPC_HCP_WITH_H3K4ME2_AND_H3K27ME3","SYSTEMATIC_NAME":"M1949","ORGANISM":"Mus musculus","PMID":"18600261","AUTHORS":"Meissner A,Mikkelsen TS,Gu H,Wernig M,Hanna J,Sivachenko A,Zhang X,Bernstein BE,Nusbaum C,Jaffe DB,Gnirke A,Jaenisch R,Lander ES","GEOID":"GSE11172","EXACT_SOURCE":"Table 2S: NPC (P18): HCP, K4me2_K27me3","CHIP":"Mouse_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with high-CpG-density promoters (HCP) bearing histone H3 dimethylation mark at K4 (H3K4me2) and trimethylation mark at K27 (H3K27me3) in neural precursor cells (NPC).","DESCRIPTION_FULL":"DNA methylation is essential for normal development and has been implicated in many pathologies including cancer. Our knowledge about the genome-wide distribution of DNA methylation, how it changes during cellular differentiation and how it relates to histone methylation and other chromatin modifications in mammals remains limited. Here we report the generation and analysis of genome-scale DNA methylation profiles at nucleotide resolution in mammalian cells. Using high-throughput reduced representation bisulphite sequencing and single-molecule-based sequencing, we generated DNA methylation maps covering most CpG islands, and a representative sampling of conserved non-coding elements, transposons and other genomic features, for mouse embryonic stem cells, embryonic-stem-cell-derived and primary neural cells, and eight other primary tissues. Several key findings emerge from the data. First, DNA methylation patterns are better correlated with histone methylation patterns than with the underlying genome sequence context. Second, methylation of CpGs are dynamic epigenetic marks that undergo extensive changes during cellular differentiation, particularly in regulatory regions outside of core promoters. Third, analysis of embryonic-stem-cell-derived and primary cells reveals that 'weak' CpG islands associated with a specific set of developmentally regulated genes undergo aberrant hypermethylation during extended proliferation in vitro, in a pattern reminiscent of that reported in some primary tumours. More generally, the results establish reduced representation bisulphite sequencing as a powerful technology for epigenetic profiling of cell populations relevant to developmental biology, cancer and regenerative medicine."}
{"STANDARD_NAME":"MEISSNER_BRAIN_HCP_WITH_H3K4ME2_AND_H3K27ME3","SYSTEMATIC_NAME":"M1950","ORGANISM":"Mus musculus","PMID":"18600261","AUTHORS":"Meissner A,Mikkelsen TS,Gu H,Wernig M,Hanna J,Sivachenko A,Zhang X,Bernstein BE,Nusbaum C,Jaffe DB,Gnirke A,Jaenisch R,Lander ES","GEOID":"GSE11172","EXACT_SOURCE":"Table 2S: WHOLE_BRAIN: HCP, K4me2_K27me3","CHIP":"Mouse_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with high-CpG-density promoters (HCP) bearing bivalent histone H3 dimethylation mark at K4 (H3K4me2) and trimethlation mark at K27 (H3K27me3) in brain.","DESCRIPTION_FULL":"DNA methylation is essential for normal development and has been implicated in many pathologies including cancer. Our knowledge about the genome-wide distribution of DNA methylation, how it changes during cellular differentiation and how it relates to histone methylation and other chromatin modifications in mammals remains limited. Here we report the generation and analysis of genome-scale DNA methylation profiles at nucleotide resolution in mammalian cells. Using high-throughput reduced representation bisulphite sequencing and single-molecule-based sequencing, we generated DNA methylation maps covering most CpG islands, and a representative sampling of conserved non-coding elements, transposons and other genomic features, for mouse embryonic stem cells, embryonic-stem-cell-derived and primary neural cells, and eight other primary tissues. Several key findings emerge from the data. First, DNA methylation patterns are better correlated with histone methylation patterns than with the underlying genome sequence context. Second, methylation of CpGs are dynamic epigenetic marks that undergo extensive changes during cellular differentiation, particularly in regulatory regions outside of core promoters. Third, analysis of embryonic-stem-cell-derived and primary cells reveals that 'weak' CpG islands associated with a specific set of developmentally regulated genes undergo aberrant hypermethylation during extended proliferation in vitro, in a pattern reminiscent of that reported in some primary tumours. More generally, the results establish reduced representation bisulphite sequencing as a powerful technology for epigenetic profiling of cell populations relevant to developmental biology, cancer and regenerative medicine."}
{"STANDARD_NAME":"MEISSNER_NPC_HCP_WITH_H3K4ME2","SYSTEMATIC_NAME":"M1951","ORGANISM":"Mus musculus","PMID":"18600261","AUTHORS":"Meissner A,Mikkelsen TS,Gu H,Wernig M,Hanna J,Sivachenko A,Zhang X,Bernstein BE,Nusbaum C,Jaffe DB,Gnirke A,Jaenisch R,Lander ES","GEOID":"GSE11172","EXACT_SOURCE":"Table 2S: NPC(P18): HCP, K4me2","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with high-CpG-density promoters (HCP) bearing histone H3 dimethylation mark at K4 (H3K4me2) in neural precursor cells (NPC).","DESCRIPTION_FULL":"DNA methylation is essential for normal development and has been implicated in many pathologies including cancer. Our knowledge about the genome-wide distribution of DNA methylation, how it changes during cellular differentiation and how it relates to histone methylation and other chromatin modifications in mammals remains limited. Here we report the generation and analysis of genome-scale DNA methylation profiles at nucleotide resolution in mammalian cells. Using high-throughput reduced representation bisulphite sequencing and single-molecule-based sequencing, we generated DNA methylation maps covering most CpG islands, and a representative sampling of conserved non-coding elements, transposons and other genomic features, for mouse embryonic stem cells, embryonic-stem-cell-derived and primary neural cells, and eight other primary tissues. Several key findings emerge from the data. First, DNA methylation patterns are better correlated with histone methylation patterns than with the underlying genome sequence context. Second, methylation of CpGs are dynamic epigenetic marks that undergo extensive changes during cellular differentiation, particularly in regulatory regions outside of core promoters. Third, analysis of embryonic-stem-cell-derived and primary cells reveals that 'weak' CpG islands associated with a specific set of developmentally regulated genes undergo aberrant hypermethylation during extended proliferation in vitro, in a pattern reminiscent of that reported in some primary tumours. More generally, the results establish reduced representation bisulphite sequencing as a powerful technology for epigenetic profiling of cell populations relevant to developmental biology, cancer and regenerative medicine."}
{"STANDARD_NAME":"MEISSNER_BRAIN_HCP_WITH_H3K4ME2","SYSTEMATIC_NAME":"M1952","ORGANISM":"Mus musculus","PMID":"18600261","AUTHORS":"Meissner A,Mikkelsen TS,Gu H,Wernig M,Hanna J,Sivachenko A,Zhang X,Bernstein BE,Nusbaum C,Jaffe DB,Gnirke A,Jaenisch R,Lander ES","GEOID":"GSE11172","EXACT_SOURCE":"Table 2S: WHOLE_BRAIN; HCP, K4me2","CHIP":"Mouse_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with high-CpG-density promoters (HCP) bearing histone H3 dimethylation mark (H3K4me2) in brain.","DESCRIPTION_FULL":"DNA methylation is essential for normal development and has been implicated in many pathologies including cancer. Our knowledge about the genome-wide distribution of DNA methylation, how it changes during cellular differentiation and how it relates to histone methylation and other chromatin modifications in mammals remains limited. Here we report the generation and analysis of genome-scale DNA methylation profiles at nucleotide resolution in mammalian cells. Using high-throughput reduced representation bisulphite sequencing and single-molecule-based sequencing, we generated DNA methylation maps covering most CpG islands, and a representative sampling of conserved non-coding elements, transposons and other genomic features, for mouse embryonic stem cells, embryonic-stem-cell-derived and primary neural cells, and eight other primary tissues. Several key findings emerge from the data. First, DNA methylation patterns are better correlated with histone methylation patterns than with the underlying genome sequence context. Second, methylation of CpGs are dynamic epigenetic marks that undergo extensive changes during cellular differentiation, particularly in regulatory regions outside of core promoters. Third, analysis of embryonic-stem-cell-derived and primary cells reveals that 'weak' CpG islands associated with a specific set of developmentally regulated genes undergo aberrant hypermethylation during extended proliferation in vitro, in a pattern reminiscent of that reported in some primary tumours. More generally, the results establish reduced representation bisulphite sequencing as a powerful technology for epigenetic profiling of cell populations relevant to developmental biology, cancer and regenerative medicine."}
{"STANDARD_NAME":"MIKKELSEN_MCV6_HCP_WITH_H3K27ME3","SYSTEMATIC_NAME":"M1954","ORGANISM":"Mus musculus","PMID":"18509334","AUTHORS":"Mikkelsen TS,Hanna J,Zhang X,Ku M,Wernig M,Schorderet P,Bernstein BE,Jaenisch R,Lander ES,Meissner A","GEOID":"GSE11074","EXACT_SOURCE":"Table 2S: Promoter=HCP & MCV6=K27","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with high-CpG-density promoters (HCP) bearing the tri-methylation mark at H3K27 (H3K27me3) in MCV6 cells (embryonic fibroblasts trapped in a differentiated state).","DESCRIPTION_FULL":"Somatic cells can be reprogrammed to a pluripotent state through the ectopic expression of defined transcription factors. Understanding the mechanism and kinetics of this transformation may shed light on the nature of developmental potency and suggest strategies with improved efficiency or safety. Here we report an integrative genomic analysis of reprogramming of mouse fibroblasts and B lymphocytes. Lineage-committed cells show a complex response to the ectopic expression involving induction of genes downstream of individual reprogramming factors. Fully reprogrammed cells show gene expression and epigenetic states that are highly similar to embryonic stem cells. In contrast, stable partially reprogrammed cell lines show reactivation of a distinctive subset of stem-cell-related genes, incomplete repression of lineage-specifying transcription factors, and DNA hypermethylation at pluripotency-related loci. These observations suggest that some cells may become trapped in partially reprogrammed states owing to incomplete repression of transcription factors, and that DNA de-methylation is an inefficient step in the transition to pluripotency. We demonstrate that RNA inhibition of transcription factors can facilitate reprogramming, and that treatment with DNA methyltransferase inhibitors can improve the overall efficiency of the reprogramming process."}
{"STANDARD_NAME":"MIKKELSEN_MCV6_ICP_WITH_H3K4ME3_AND_H3K27ME3","SYSTEMATIC_NAME":"M1955","ORGANISM":"Mus musculus","PMID":"18509334","AUTHORS":"Mikkelsen TS,Hanna J,Zhang X,Ku M,Wernig M,Schorderet P,Bernstein BE,Jaenisch R,Lander ES,Meissner A","GEOID":"GSE10781","EXACT_SOURCE":"Table 2S: Promoter=ICP & MCV6=Biv","CHIP":"Mouse_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with intermediate-CpG-density promoters (ICP) bearing the bivalent trimethylation marks at H3K4 (H3K4me3) and H3K27 (H3K27me3) in MCV6 cells (embryonic fibroblasts trapped in a differentiated state).","DESCRIPTION_FULL":"Somatic cells can be reprogrammed to a pluripotent state through the ectopic expression of defined transcription factors. Understanding the mechanism and kinetics of this transformation may shed light on the nature of developmental potency and suggest strategies with improved efficiency or safety. Here we report an integrative genomic analysis of reprogramming of mouse fibroblasts and B lymphocytes. Lineage-committed cells show a complex response to the ectopic expression involving induction of genes downstream of individual reprogramming factors. Fully reprogrammed cells show gene expression and epigenetic states that are highly similar to embryonic stem cells. In contrast, stable partially reprogrammed cell lines show reactivation of a distinctive subset of stem-cell-related genes, incomplete repression of lineage-specifying transcription factors, and DNA hypermethylation at pluripotency-related loci. These observations suggest that some cells may become trapped in partially reprogrammed states owing to incomplete repression of transcription factors, and that DNA de-methylation is an inefficient step in the transition to pluripotency. We demonstrate that RNA inhibition of transcription factors can facilitate reprogramming, and that treatment with DNA methyltransferase inhibitors can improve the overall efficiency of the reprogramming process."}
{"STANDARD_NAME":"MIKKELSEN_MCV6_ICP_WITH_H3K27ME3","SYSTEMATIC_NAME":"M1956","ORGANISM":"Mus musculus","PMID":"18509334","AUTHORS":"Mikkelsen TS,Hanna J,Zhang X,Ku M,Wernig M,Schorderet P,Bernstein BE,Jaenisch R,Lander ES,Meissner A","GEOID":"GSE11074","EXACT_SOURCE":"Table 2S: Promoter=ICP & MCV6=K27","CHIP":"Mouse_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with intermediate-CpG-density promoters (ICP) bearing the tri-methylation mark at H3K27 (H3K27me3) in MCV6 cells (embryonic fibroblasts trapped in a differentiated state).","DESCRIPTION_FULL":"Somatic cells can be reprogrammed to a pluripotent state through the ectopic expression of defined transcription factors. Understanding the mechanism and kinetics of this transformation may shed light on the nature of developmental potency and suggest strategies with improved efficiency or safety. Here we report an integrative genomic analysis of reprogramming of mouse fibroblasts and B lymphocytes. Lineage-committed cells show a complex response to the ectopic expression involving induction of genes downstream of individual reprogramming factors. Fully reprogrammed cells show gene expression and epigenetic states that are highly similar to embryonic stem cells. In contrast, stable partially reprogrammed cell lines show reactivation of a distinctive subset of stem-cell-related genes, incomplete repression of lineage-specifying transcription factors, and DNA hypermethylation at pluripotency-related loci. These observations suggest that some cells may become trapped in partially reprogrammed states owing to incomplete repression of transcription factors, and that DNA de-methylation is an inefficient step in the transition to pluripotency. We demonstrate that RNA inhibition of transcription factors can facilitate reprogramming, and that treatment with DNA methyltransferase inhibitors can improve the overall efficiency of the reprogramming process."}
{"STANDARD_NAME":"MIKKELSEN_MCV6_LCP_WITH_H3K27ME3","SYSTEMATIC_NAME":"M1957","ORGANISM":"Mus musculus","PMID":"18509334","AUTHORS":"Mikkelsen TS,Hanna J,Zhang X,Ku M,Wernig M,Schorderet P,Bernstein BE,Jaenisch R,Lander ES,Meissner A","GEOID":"GSE11074","EXACT_SOURCE":"Table 2S: Promoter=LCP & MCV6=K27","CHIP":"Mouse_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with low-CpG-density promoters (LCP) bearing the tri-methylation mark at H3K27 (H3K27me3) in MCV6 cells (embryonic fibroblasts trapped in a differentiated state).","DESCRIPTION_FULL":"Somatic cells can be reprogrammed to a pluripotent state through the ectopic expression of defined transcription factors. Understanding the mechanism and kinetics of this transformation may shed light on the nature of developmental potency and suggest strategies with improved efficiency or safety. Here we report an integrative genomic analysis of reprogramming of mouse fibroblasts and B lymphocytes. Lineage-committed cells show a complex response to the ectopic expression involving induction of genes downstream of individual reprogramming factors. Fully reprogrammed cells show gene expression and epigenetic states that are highly similar to embryonic stem cells. In contrast, stable partially reprogrammed cell lines show reactivation of a distinctive subset of stem-cell-related genes, incomplete repression of lineage-specifying transcription factors, and DNA hypermethylation at pluripotency-related loci. These observations suggest that some cells may become trapped in partially reprogrammed states owing to incomplete repression of transcription factors, and that DNA de-methylation is an inefficient step in the transition to pluripotency. We demonstrate that RNA inhibition of transcription factors can facilitate reprogramming, and that treatment with DNA methyltransferase inhibitors can improve the overall efficiency of the reprogramming process."}
{"STANDARD_NAME":"MIKKELSEN_MCV6_LCP_WITH_H3K4ME3","SYSTEMATIC_NAME":"M1960","ORGANISM":"Mus musculus","PMID":"18509334","AUTHORS":"Mikkelsen TS,Hanna J,Zhang X,Ku M,Wernig M,Schorderet P,Bernstein BE,Jaenisch R,Lander ES,Meissner A","GEOID":"GSE11074","EXACT_SOURCE":"Table 2S: Promoter=LCP & MCV6=K4","CHIP":"Mouse_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with low-CpG-density promoters (LCP) bearing the tri-methylation mark at H3K4 (H3K4me3) in MCV6 cells (embryonic fibroblasts trapped in a differentiated state).","DESCRIPTION_FULL":"Somatic cells can be reprogrammed to a pluripotent state through the ectopic expression of defined transcription factors. Understanding the mechanism and kinetics of this transformation may shed light on the nature of developmental potency and suggest strategies with improved efficiency or safety. Here we report an integrative genomic analysis of reprogramming of mouse fibroblasts and B lymphocytes. Lineage-committed cells show a complex response to the ectopic expression involving induction of genes downstream of individual reprogramming factors. Fully reprogrammed cells show gene expression and epigenetic states that are highly similar to embryonic stem cells. In contrast, stable partially reprogrammed cell lines show reactivation of a distinctive subset of stem-cell-related genes, incomplete repression of lineage-specifying transcription factors, and DNA hypermethylation at pluripotency-related loci. These observations suggest that some cells may become trapped in partially reprogrammed states owing to incomplete repression of transcription factors, and that DNA de-methylation is an inefficient step in the transition to pluripotency. We demonstrate that RNA inhibition of transcription factors can facilitate reprogramming, and that treatment with DNA methyltransferase inhibitors can improve the overall efficiency of the reprogramming process."}
{"STANDARD_NAME":"MIKKELSEN_MEF_ICP_WITH_H3K4ME3_AND_H3K27ME3","SYSTEMATIC_NAME":"M1962","ORGANISM":"Mus musculus","PMID":"18509334","AUTHORS":"Mikkelsen TS,Hanna J,Zhang X,Ku M,Wernig M,Schorderet P,Bernstein BE,Jaenisch R,Lander ES,Meissner A","GEOID":"GSE11074","EXACT_SOURCE":"Table 2S: Promoter=ICP & MEF=Biv","CHIP":"Mouse_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with intermediate-CpG-density promoters (ICP) bearing the bivalent tri-methylation marks at H3K4 (H3K4me3) and H3K27 (H3K27me3) in MEF cells (embryonic fibroblasts).","DESCRIPTION_FULL":"Somatic cells can be reprogrammed to a pluripotent state through the ectopic expression of defined transcription factors. Understanding the mechanism and kinetics of this transformation may shed light on the nature of developmental potency and suggest strategies with improved efficiency or safety. Here we report an integrative genomic analysis of reprogramming of mouse fibroblasts and B lymphocytes. Lineage-committed cells show a complex response to the ectopic expression involving induction of genes downstream of individual reprogramming factors. Fully reprogrammed cells show gene expression and epigenetic states that are highly similar to embryonic stem cells. In contrast, stable partially reprogrammed cell lines show reactivation of a distinctive subset of stem-cell-related genes, incomplete repression of lineage-specifying transcription factors, and DNA hypermethylation at pluripotency-related loci. These observations suggest that some cells may become trapped in partially reprogrammed states owing to incomplete repression of transcription factors, and that DNA de-methylation is an inefficient step in the transition to pluripotency. We demonstrate that RNA inhibition of transcription factors can facilitate reprogramming, and that treatment with DNA methyltransferase inhibitors can improve the overall efficiency of the reprogramming process."}
{"STANDARD_NAME":"MIKKELSEN_MEF_ICP_WITH_H3K27ME3","SYSTEMATIC_NAME":"M1963","ORGANISM":"Mus musculus","PMID":"18509334","AUTHORS":"Mikkelsen TS,Hanna J,Zhang X,Ku M,Wernig M,Schorderet P,Bernstein BE,Jaenisch R,Lander ES,Meissner A","GEOID":"GSE11074","EXACT_SOURCE":"Table 2S: Promoter=ICP & MEF=K27","CHIP":"Mouse_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with intermediate-CpG-density promoters (ICP) bearing the tri-methylation mark at H3K27 (H3K27me3) in MEF cells (embryonic fibroblasts).","DESCRIPTION_FULL":"Somatic cells can be reprogrammed to a pluripotent state through the ectopic expression of defined transcription factors. Understanding the mechanism and kinetics of this transformation may shed light on the nature of developmental potency and suggest strategies with improved efficiency or safety. Here we report an integrative genomic analysis of reprogramming of mouse fibroblasts and B lymphocytes. Lineage-committed cells show a complex response to the ectopic expression involving induction of genes downstream of individual reprogramming factors. Fully reprogrammed cells show gene expression and epigenetic states that are highly similar to embryonic stem cells. In contrast, stable partially reprogrammed cell lines show reactivation of a distinctive subset of stem-cell-related genes, incomplete repression of lineage-specifying transcription factors, and DNA hypermethylation at pluripotency-related loci. These observations suggest that some cells may become trapped in partially reprogrammed states owing to incomplete repression of transcription factors, and that DNA de-methylation is an inefficient step in the transition to pluripotency. We demonstrate that RNA inhibition of transcription factors can facilitate reprogramming, and that treatment with DNA methyltransferase inhibitors can improve the overall efficiency of the reprogramming process."}
{"STANDARD_NAME":"MIKKELSEN_MEF_LCP_WITH_H3K27ME3","SYSTEMATIC_NAME":"M1965","ORGANISM":"Mus musculus","PMID":"18509334","AUTHORS":"Mikkelsen TS,Hanna J,Zhang X,Ku M,Wernig M,Schorderet P,Bernstein BE,Jaenisch R,Lander ES,Meissner A","GEOID":"GSE11074","EXACT_SOURCE":"Table 2S: Promoter=LCP & MEF=K27","CHIP":"Mouse_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with low-CpG-density promoters (LCP) bearing the tri-methylation mark at H3K27 (H3K27me3) in MEF cells (embryonic fibroblasts).","DESCRIPTION_FULL":"Somatic cells can be reprogrammed to a pluripotent state through the ectopic expression of defined transcription factors. Understanding the mechanism and kinetics of this transformation may shed light on the nature of developmental potency and suggest strategies with improved efficiency or safety. Here we report an integrative genomic analysis of reprogramming of mouse fibroblasts and B lymphocytes. Lineage-committed cells show a complex response to the ectopic expression involving induction of genes downstream of individual reprogramming factors. Fully reprogrammed cells show gene expression and epigenetic states that are highly similar to embryonic stem cells. In contrast, stable partially reprogrammed cell lines show reactivation of a distinctive subset of stem-cell-related genes, incomplete repression of lineage-specifying transcription factors, and DNA hypermethylation at pluripotency-related loci. These observations suggest that some cells may become trapped in partially reprogrammed states owing to incomplete repression of transcription factors, and that DNA de-methylation is an inefficient step in the transition to pluripotency. We demonstrate that RNA inhibition of transcription factors can facilitate reprogramming, and that treatment with DNA methyltransferase inhibitors can improve the overall efficiency of the reprogramming process."}
{"STANDARD_NAME":"MIKKELSEN_MEF_LCP_WITH_H3K4ME3","SYSTEMATIC_NAME":"M1966","ORGANISM":"Mus musculus","PMID":"18509334","AUTHORS":"Mikkelsen TS,Hanna J,Zhang X,Ku M,Wernig M,Schorderet P,Bernstein BE,Jaenisch R,Lander ES,Meissner A","GEOID":"GSE11074","EXACT_SOURCE":"Table 2S: Promoter=LCP & MEF=K4","CHIP":"Mouse_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with low-CpG-density promoters (LCP) bearing tri-methylation mark at H3K4 (H3K4me3) in MEF cells (embryonic fibroblasts).","DESCRIPTION_FULL":"Somatic cells can be reprogrammed to a pluripotent state through the ectopic expression of defined transcription factors. Understanding the mechanism and kinetics of this transformation may shed light on the nature of developmental potency and suggest strategies with improved efficiency or safety. Here we report an integrative genomic analysis of reprogramming of mouse fibroblasts and B lymphocytes. Lineage-committed cells show a complex response to the ectopic expression involving induction of genes downstream of individual reprogramming factors. Fully reprogrammed cells show gene expression and epigenetic states that are highly similar to embryonic stem cells. In contrast, stable partially reprogrammed cell lines show reactivation of a distinctive subset of stem-cell-related genes, incomplete repression of lineage-specifying transcription factors, and DNA hypermethylation at pluripotency-related loci. These observations suggest that some cells may become trapped in partially reprogrammed states owing to incomplete repression of transcription factors, and that DNA de-methylation is an inefficient step in the transition to pluripotency. We demonstrate that RNA inhibition of transcription factors can facilitate reprogramming, and that treatment with DNA methyltransferase inhibitors can improve the overall efficiency of the reprogramming process."}
{"STANDARD_NAME":"MIKKELSEN_IPS_ICP_WITH_H3K4ME3_AND_H327ME3","SYSTEMATIC_NAME":"M1969","ORGANISM":"Mus musculus","PMID":"18509334","AUTHORS":"Mikkelsen TS,Hanna J,Zhang X,Ku M,Wernig M,Schorderet P,Bernstein BE,Jaenisch R,Lander ES,Meissner A","GEOID":"GSE11074","EXACT_SOURCE":"Table 2S: Promoter=ICP & MCV8.1=Biv","CHIP":"Mouse_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with intermediate-CpG-density promoters (ICP) bearing the bivalent tri-methylation marks at H3K4 (H3K4me3) and H3K27 (H3K27me3) in MCV8.1 cells (induced pluripotent cells, iPS).","DESCRIPTION_FULL":"Somatic cells can be reprogrammed to a pluripotent state through the ectopic expression of defined transcription factors. Understanding the mechanism and kinetics of this transformation may shed light on the nature of developmental potency and suggest strategies with improved efficiency or safety. Here we report an integrative genomic analysis of reprogramming of mouse fibroblasts and B lymphocytes. Lineage-committed cells show a complex response to the ectopic expression involving induction of genes downstream of individual reprogramming factors. Fully reprogrammed cells show gene expression and epigenetic states that are highly similar to embryonic stem cells. In contrast, stable partially reprogrammed cell lines show reactivation of a distinctive subset of stem-cell-related genes, incomplete repression of lineage-specifying transcription factors, and DNA hypermethylation at pluripotency-related loci. These observations suggest that some cells may become trapped in partially reprogrammed states owing to incomplete repression of transcription factors, and that DNA de-methylation is an inefficient step in the transition to pluripotency. We demonstrate that RNA inhibition of transcription factors can facilitate reprogramming, and that treatment with DNA methyltransferase inhibitors can improve the overall efficiency of the reprogramming process."}
{"STANDARD_NAME":"MIKKELSEN_IPS_ICP_WITH_H3K27ME3","SYSTEMATIC_NAME":"M1970","ORGANISM":"Mus musculus","PMID":"18509334","AUTHORS":"Mikkelsen TS,Hanna J,Zhang X,Ku M,Wernig M,Schorderet P,Bernstein BE,Jaenisch R,Lander ES,Meissner A","GEOID":"GSE10871","EXACT_SOURCE":"Table 2S: Promoter=ICP & MCV8.1=K27","CHIP":"Mouse_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with intermediate-CpG-density promoters (ICP) bearing the tri-methylation mark at H3K27 (H3K27me3) in MCV8.1 cells (induced pluripotent cells, iPS).","DESCRIPTION_FULL":"Somatic cells can be reprogrammed to a pluripotent state through the ectopic expression of defined transcription factors. Understanding the mechanism and kinetics of this transformation may shed light on the nature of developmental potency and suggest strategies with improved efficiency or safety. Here we report an integrative genomic analysis of reprogramming of mouse fibroblasts and B lymphocytes. Lineage-committed cells show a complex response to the ectopic expression involving induction of genes downstream of individual reprogramming factors. Fully reprogrammed cells show gene expression and epigenetic states that are highly similar to embryonic stem cells. In contrast, stable partially reprogrammed cell lines show reactivation of a distinctive subset of stem-cell-related genes, incomplete repression of lineage-specifying transcription factors, and DNA hypermethylation at pluripotency-related loci. These observations suggest that some cells may become trapped in partially reprogrammed states owing to incomplete repression of transcription factors, and that DNA de-methylation is an inefficient step in the transition to pluripotency. We demonstrate that RNA inhibition of transcription factors can facilitate reprogramming, and that treatment with DNA methyltransferase inhibitors can improve the overall efficiency of the reprogramming process."}
{"STANDARD_NAME":"MIKKELSEN_IPS_LCP_WITH_H3K4ME3_AND_H3K27ME3","SYSTEMATIC_NAME":"M1972","ORGANISM":"Mus musculus","PMID":"18509334","AUTHORS":"Mikkelsen TS,Hanna J,Zhang X,Ku M,Wernig M,Schorderet P,Bernstein BE,Jaenisch R,Lander ES,Meissner A","GEOID":"GSE11074","EXACT_SOURCE":"Table 2S: Promoter=LCP & MCV8.1=Biv","CHIP":"Mouse_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with low-CpG-density promoters (LCP) bearing the bivalent tri-methylation marks at H3K4 (H3K4me3) and H3K27 (H3K27me3) in MCV8.1 cells (induced pluripotent cells, iPS).","DESCRIPTION_FULL":"Somatic cells can be reprogrammed to a pluripotent state through the ectopic expression of defined transcription factors. Understanding the mechanism and kinetics of this transformation may shed light on the nature of developmental potency and suggest strategies with improved efficiency or safety. Here we report an integrative genomic analysis of reprogramming of mouse fibroblasts and B lymphocytes. Lineage-committed cells show a complex response to the ectopic expression involving induction of genes downstream of individual reprogramming factors. Fully reprogrammed cells show gene expression and epigenetic states that are highly similar to embryonic stem cells. In contrast, stable partially reprogrammed cell lines show reactivation of a distinctive subset of stem-cell-related genes, incomplete repression of lineage-specifying transcription factors, and DNA hypermethylation at pluripotency-related loci. These observations suggest that some cells may become trapped in partially reprogrammed states owing to incomplete repression of transcription factors, and that DNA de-methylation is an inefficient step in the transition to pluripotency. We demonstrate that RNA inhibition of transcription factors can facilitate reprogramming, and that treatment with DNA methyltransferase inhibitors can improve the overall efficiency of the reprogramming process."}
{"STANDARD_NAME":"MIKKELSEN_IPS_LCP_WITH_H3K27ME3","SYSTEMATIC_NAME":"M1974","ORGANISM":"Mus musculus","PMID":"18509334","AUTHORS":"Mikkelsen TS,Hanna J,Zhang X,Ku M,Wernig M,Schorderet P,Bernstein BE,Jaenisch R,Lander ES,Meissner A","GEOID":"GSE10871","EXACT_SOURCE":"Table 2S: Promoter=LCP & MCV8.1=K27","CHIP":"Mouse_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with low-CpG-density promoters (LCP) bearing the tri-methylation mark at H3K27 (H3K27me3) in MCV8.1 cells (induced pluripotent cells, iPS).","DESCRIPTION_FULL":"Somatic cells can be reprogrammed to a pluripotent state through the ectopic expression of defined transcription factors. Understanding the mechanism and kinetics of this transformation may shed light on the nature of developmental potency and suggest strategies with improved efficiency or safety. Here we report an integrative genomic analysis of reprogramming of mouse fibroblasts and B lymphocytes. Lineage-committed cells show a complex response to the ectopic expression involving induction of genes downstream of individual reprogramming factors. Fully reprogrammed cells show gene expression and epigenetic states that are highly similar to embryonic stem cells. In contrast, stable partially reprogrammed cell lines show reactivation of a distinctive subset of stem-cell-related genes, incomplete repression of lineage-specifying transcription factors, and DNA hypermethylation at pluripotency-related loci. These observations suggest that some cells may become trapped in partially reprogrammed states owing to incomplete repression of transcription factors, and that DNA de-methylation is an inefficient step in the transition to pluripotency. We demonstrate that RNA inhibition of transcription factors can facilitate reprogramming, and that treatment with DNA methyltransferase inhibitors can improve the overall efficiency of the reprogramming process."}
{"STANDARD_NAME":"MIKKELSEN_IPS_LCP_WITH_H3K4ME3","SYSTEMATIC_NAME":"M1975","ORGANISM":"Mus musculus","PMID":"18509334","AUTHORS":"Mikkelsen TS,Hanna J,Zhang X,Ku M,Wernig M,Schorderet P,Bernstein BE,Jaenisch R,Lander ES,Meissner A","GEOID":"GSE11074","EXACT_SOURCE":"Table 2S: Promoter=LCP & MCV8.1=K4","CHIP":"Mouse_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Table 2S. Genes in MEF, MCV6, MCV8.1 and ES cells by epigenetic mark of their promoter","DESCRIPTION_FULL":"Somatic cells can be reprogrammed to a pluripotent state through the ectopic expression of defined transcription factors. Understanding the mechanism and kinetics of this transformation may shed light on the nature of developmental potency and suggest strategies with improved efficiency or safety. Here we report an integrative genomic analysis of reprogramming of mouse fibroblasts and B lymphocytes. Lineage-committed cells show a complex response to the ectopic expression involving induction of genes downstream of individual reprogramming factors. Fully reprogrammed cells show gene expression and epigenetic states that are highly similar to embryonic stem cells. In contrast, stable partially reprogrammed cell lines show reactivation of a distinctive subset of stem-cell-related genes, incomplete repression of lineage-specifying transcription factors, and DNA hypermethylation at pluripotency-related loci. These observations suggest that some cells may become trapped in partially reprogrammed states owing to incomplete repression of transcription factors, and that DNA de-methylation is an inefficient step in the transition to pluripotency. We demonstrate that RNA inhibition of transcription factors can facilitate reprogramming, and that treatment with DNA methyltransferase inhibitors can improve the overall efficiency of the reprogramming process."}
{"STANDARD_NAME":"KUROKAWA_LIVER_CANCER_EARLY_RECURRENCE_UP","SYSTEMATIC_NAME":"M7700","ORGANISM":"Homo sapiens","PMID":"15288478","AUTHORS":"Kurokawa Y,Matoba R,Takemasa I,Nagano H,Dono K,Nakamori S,Umeshita K,Sakon M,Ueno N,Oba S,Ishii S,Kato K,Monden M","EXACT_SOURCE":"Table 3","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes up-regulated in hepatocellular carcinoma (HCC) with early recurrence.","DESCRIPTION_FULL":"BACKGROUND/AIMS: Hepatocellular carcinoma (HCC) has a very poor prognosis, due to the high incidence of tumor recurrence. As the current morphological indicators are often insufficient for therapeutic decisions, we sought to identify additional biologic indicators for early recurrence. METHODS: We analyzed gene expression using a PCR-based array of 3,072 genes in 100 HCC patients. Informative genes predicting early intrahepatic recurrence were selected by random permutation testing, and a weighted voting prediction method was constructed. Following estimation of prediction accuracy, a multivariate Cox analysis was performed. RESULTS: By permutation testing, we selected 92 genes demonstrated distinct expression patterns differing significantly between recurrence cases and recurrence-free cases. Our prediction method, using the 20 top-ranked genes, correctly predicted the early intrahepatic recurrence for 29 of 40 cases within the validation group, and the odds ratio was 6.8 (95%CI 1.7-27.5, P = 0.010). The 2-year recurrence rates in the patients with the good signature and those with the poor signature were 29.4 and 73.9%, respectively. Multivariate Cox analysis revealed that molecular-signature was an independent indicator for recurrence (hazard ratio 3.82, 95%CI 1.44-10.10, P = 0.007). CONCLUSIONS: Our molecular-based prediction method using 20 genes is clinically useful to predict early recurrence of HCC."}
{"STANDARD_NAME":"MARSON_FOXP3_TARGETS_UP","SYSTEMATIC_NAME":"M14233","ORGANISM":"Mus musculus","PMID":"17237765","AUTHORS":"Marson A,Kretschmer K,Frampton GM,Jacobsen ES,Polansky JK,MacIsaac KD,Levine SS,Fraenkel E,von Boehmer H,Young RA","EXACT_SOURCE":"Table 10S: Ex vivo > 0 & hybridoma > 0","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated by FOXP3 [GeneID=50943] in both ex vivo and hybridoma cells.","DESCRIPTION_FULL":"Foxp3+CD4+CD25+ regulatory T (T(reg)) cells are essential for the prevention of autoimmunity. T(reg) cells have an attenuated cytokine response to T-cell receptor stimulation, and can suppress the proliferation and effector function of neighbouring T cells. The forkhead transcription factor Foxp3 (forkhead box P3) is selectively expressed in T(reg) cells, is required for T(reg) development and function, and is sufficient to induce a T(reg) phenotype in conventional CD4+CD25- T cells. Mutations in Foxp3 cause severe, multi-organ autoimmunity in both human and mouse. FOXP3 can cooperate in a DNA-binding complex with NFAT (nuclear factor of activated T cells) to regulate the transcription of several known target genes. However, the global set of genes regulated directly by Foxp3 is not known and consequently, how this transcription factor controls the gene expression programme for T(reg) function is not understood. Here we identify Foxp3 target genes and report that many of these are key modulators of T-cell activation and function. Remarkably, the predominant, although not exclusive, effect of Foxp3 occupancy is to suppress the activation of target genes on T-cell stimulation. Foxp3 suppression of its targets appears to be crucial for the normal function of T(reg) cells, because overactive variants of some target genes are known to be associated with autoimmune disease."}
{"STANDARD_NAME":"MARSON_FOXP3_TARGETS_DN","SYSTEMATIC_NAME":"M2160","ORGANISM":"Mus musculus","PMID":"17237765","AUTHORS":"Marson A,Kretschmer K,Frampton GM,Jacobsen ES,Polansky JK,MacIsaac KD,Levine SS,Fraenkel E,von Boehmer H,Young RA","EXACT_SOURCE":"Table 10S: Ex vivo < 0 & hybridoma < 0","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated by FOXP3 [GeneID=50943] in both ex vivo and hybridoma cells.","DESCRIPTION_FULL":"Foxp3+CD4+CD25+ regulatory T (T(reg)) cells are essential for the prevention of autoimmunity. T(reg) cells have an attenuated cytokine response to T-cell receptor stimulation, and can suppress the proliferation and effector function of neighbouring T cells. The forkhead transcription factor Foxp3 (forkhead box P3) is selectively expressed in T(reg) cells, is required for T(reg) development and function, and is sufficient to induce a T(reg) phenotype in conventional CD4+CD25- T cells. Mutations in Foxp3 cause severe, multi-organ autoimmunity in both human and mouse. FOXP3 can cooperate in a DNA-binding complex with NFAT (nuclear factor of activated T cells) to regulate the transcription of several known target genes. However, the global set of genes regulated directly by Foxp3 is not known and consequently, how this transcription factor controls the gene expression programme for T(reg) function is not understood. Here we identify Foxp3 target genes and report that many of these are key modulators of T-cell activation and function. Remarkably, the predominant, although not exclusive, effect of Foxp3 occupancy is to suppress the activation of target genes on T-cell stimulation. Foxp3 suppression of its targets appears to be crucial for the normal function of T(reg) cells, because overactive variants of some target genes are known to be associated with autoimmune disease."}
{"STANDARD_NAME":"SETLUR_PROSTATE_CANCER_TMPRSS2_ERG_FUSION_UP","SYSTEMATIC_NAME":"M3695","ORGANISM":"Homo sapiens","PMID":"18505969","AUTHORS":"Setlur SR,Mertz KD,Hoshida Y,Demichelis F,Lupien M,Perner S,Sboner A,Pawitan Y,Andrén O,Johnson LA,Tang J,Adami HO,Calza S,Chinnaiyan AM,Rhodes D,Tomlins S,Fall K,Mucci LA,Kantoff PW,Stampfer MJ,Andersson SO,Varenhorst E,Johansson JE,Brown M,Golub TR,Rubin MA","GEOID":"GSE8402","EXACT_SOURCE":"Table 3: Expression level=Increased","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in prostate cancer samples bearing the fusion of TMPRSS2 with ERG [GeneID=7113;2078].","DESCRIPTION_FULL":"BACKGROUND: The majority of prostate cancers harbor gene fusions of the 5'-untranslated region of the androgen-regulated transmembrane protease serine 2 (TMPRSS2) promoter with erythroblast transformation-specific transcription factor family members. The common fusion between TMPRESS2 and v-ets erythroblastosis virus E26 oncogene homolog (avian) (ERG) is associated with a more aggressive clinical phenotype, implying the existence of a distinct subclass of prostate cancer defined by this fusion. METHODS: We used complementary DNA-mediated annealing, selection, ligation, and extension to determine the expression profiles of 6144 transcriptionally informative genes in archived biopsy samples from 455 prostate cancer patients in the Swedish Watchful Waiting cohort (1987-1999) and the United States-based Physicians(') Health Study cohort (1983-2003). A gene expression signature for prostate cancers with the TMPRSS2-ERG fusion was determined using partitioning and classification models and used in computational functional analysis. Cell proliferation and TMPRSS2-ERG expression in androgen receptor-negative (NCI-H660) prostate cancer cells after treatment with vehicle or estrogenic compounds were assessed by viability assays and quantitative polymerase chain reaction, respectively. All statistical tests were two-sided. RESULTS: We identified an 87-gene expression signature that distinguishes TMPRSS2-ERG fusion prostate cancer as a discrete molecular entity (area under the curve = 0.80, 95% confidence interval [CI] = 0.792 to 0.81; P < .001). Computational analysis suggested that this fusion signature was associated with estrogen receptor (ER) signaling. Viability of NCI-H660 cells decreased after treatment with estrogen (viability normalized to day 0, estrogen vs vehicle at day 8, mean = 2.04 vs 3.40, difference = 1.36, 95% CI = 1.12 to 1.62) or ERbeta agonist (ERbeta agonist vs vehicle at day 8, mean = 1.86 vs 3.40, difference = 1.54, 95% CI = 1.39 to 1.69) but increased after ERalpha agonist treatment (ERalpha agonist vs vehicle at day 8, mean = 4.36 vs 3.40, difference = 0.96, 95% CI = 0.68 to 1.23). Similarly, expression of TMPRSS2-ERG decreased after ERbeta agonist treatment (fold change over internal control, ERbeta agonist vs vehicle at 24 hours, NCI-H660, mean = 0.57- vs 1.0-fold, difference = 0.43-fold, 95% CI = 0.29- to 0.57-fold) and increased after ERalpha agonist treatment (ERalpha agonist vs vehicle at 24 hours, mean = 5.63- vs 1.0-fold, difference = 4.63-fold, 95% CI = 4.34- to 4.92-fold). CONCLUSIONS: TMPRSS2-ERG fusion prostate cancer is a distinct molecular subclass. TMPRSS2-ERG expression is regulated by a novel ER-dependent mechanism."}
{"STANDARD_NAME":"SETLUR_PROSTATE_CANCER_TMPRSS2_ERG_FUSION_DN","SYSTEMATIC_NAME":"M12596","ORGANISM":"Homo sapiens","PMID":"18505969","AUTHORS":"Setlur SR,Mertz KD,Hoshida Y,Demichelis F,Lupien M,Perner S,Sboner A,Pawitan Y,Andrén O,Johnson LA,Tang J,Adami HO,Calza S,Chinnaiyan AM,Rhodes D,Tomlins S,Fall K,Mucci LA,Kantoff PW,Stampfer MJ,Andersson SO,Varenhorst E,Johansson JE,Brown M,Golub TR,Rubin MA","GEOID":"GSE8402","EXACT_SOURCE":"Table 3: Expression level=Decreased","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in prostate cancer samples bearing the fusion of TMPRSS2 with ERG [GeneID=7113;2078].","DESCRIPTION_FULL":"BACKGROUND: The majority of prostate cancers harbor gene fusions of the 5'-untranslated region of the androgen-regulated transmembrane protease serine 2 (TMPRSS2) promoter with erythroblast transformation-specific transcription factor family members. The common fusion between TMPRESS2 and v-ets erythroblastosis virus E26 oncogene homolog (avian) (ERG) is associated with a more aggressive clinical phenotype, implying the existence of a distinct subclass of prostate cancer defined by this fusion. METHODS: We used complementary DNA-mediated annealing, selection, ligation, and extension to determine the expression profiles of 6144 transcriptionally informative genes in archived biopsy samples from 455 prostate cancer patients in the Swedish Watchful Waiting cohort (1987-1999) and the United States-based Physicians(') Health Study cohort (1983-2003). A gene expression signature for prostate cancers with the TMPRSS2-ERG fusion was determined using partitioning and classification models and used in computational functional analysis. Cell proliferation and TMPRSS2-ERG expression in androgen receptor-negative (NCI-H660) prostate cancer cells after treatment with vehicle or estrogenic compounds were assessed by viability assays and quantitative polymerase chain reaction, respectively. All statistical tests were two-sided. RESULTS: We identified an 87-gene expression signature that distinguishes TMPRSS2-ERG fusion prostate cancer as a discrete molecular entity (area under the curve = 0.80, 95% confidence interval [CI] = 0.792 to 0.81; P < .001). Computational analysis suggested that this fusion signature was associated with estrogen receptor (ER) signaling. Viability of NCI-H660 cells decreased after treatment with estrogen (viability normalized to day 0, estrogen vs vehicle at day 8, mean = 2.04 vs 3.40, difference = 1.36, 95% CI = 1.12 to 1.62) or ERbeta agonist (ERbeta agonist vs vehicle at day 8, mean = 1.86 vs 3.40, difference = 1.54, 95% CI = 1.39 to 1.69) but increased after ERalpha agonist treatment (ERalpha agonist vs vehicle at day 8, mean = 4.36 vs 3.40, difference = 0.96, 95% CI = 0.68 to 1.23). Similarly, expression of TMPRSS2-ERG decreased after ERbeta agonist treatment (fold change over internal control, ERbeta agonist vs vehicle at 24 hours, NCI-H660, mean = 0.57- vs 1.0-fold, difference = 0.43-fold, 95% CI = 0.29- to 0.57-fold) and increased after ERalpha agonist treatment (ERalpha agonist vs vehicle at 24 hours, mean = 5.63- vs 1.0-fold, difference = 4.63-fold, 95% CI = 4.34- to 4.92-fold). CONCLUSIONS: TMPRSS2-ERG fusion prostate cancer is a distinct molecular subclass. TMPRSS2-ERG expression is regulated by a novel ER-dependent mechanism."}
{"STANDARD_NAME":"YANAGISAWA_LUNG_CANCER_RECURRENCE","SYSTEMATIC_NAME":"M13596","ORGANISM":"Homo sapiens","PMID":"17551146","AUTHORS":"Yanagisawa K,Tomida S,Shimada Y,Yatabe Y,Mitsudomi T,Takahashi T","EXACT_SOURCE":"Table 3","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes defining a 25-signal proteomic signature associated with a high risk of cancer recurrence and poor survival of NSCLC (non-small cell lung cancer) patients.","DESCRIPTION_FULL":"BACKGROUND: Among patients with non-small-cell lung cancer (NSCLC), those with poor prognosis cannot be distinguished from those with good prognosis. METHODS: Matrix-assisted laser desorption-ionization mass spectrometry was used to analyze protein profiles of 174 specimens from NSCLC tumors and 27 specimens from normal lung tissue and to derive a prognosis-associated proteomic signature. Frozen resected tissue specimens were randomly divided into a training set (116 NSCLC and 20 normal lung specimens) and an independent, blinded validation set (58 NSCLC and seven normal lung specimens). Mass spectrometry signals from training set specimens that were differentially associated with specimens from patients with a high risk of recurrence (i.e., who died within 5 years of surgical treatment because of relapse) compared with those from patients with a low risk of recurrence (i.e., alive with no symptoms of relapse after a median follow-up of 89 months) were selected by use of the Fisher's exact test, the Kruskal-Wallis test, and the significance analysis of microarray test. These signals were used to build an individualized, weighted voting-based prognostic signature. The signature was then validated in the independent dataset. Survival was assessed by multivariable Cox regression analysis. Proteins corresponding to individual signals were identified by ion-trap mass spectrometry coupled with high-performance liquid chromatography. All statistical tests were two-sided. RESULTS: From 2630 mass spectrometry signals from specimens in the training cohort, we derived a signature of 25 signals that was associated with both relapse-free survival and overall survival. Among stage I NSCLC patients in the validation set, the signature was statistically significantly associated with both overall survival (hazard ratio [HR] of death for patients in the high-risk group compared with those in the low-risk group = 61.1, 95% confidence interval [CI] = 8.9 to 419.2, P<.001) and relapse-free survival (HR of relapse = 11.7, 95% CI = 3.1 to 44.8, P<.001). Proteins corresponding to signals in the signature were identified that had various cellular functions, including ribosomal protein L26-like 1, acylphosphatase, and phosphoprotein enriched in astrocytes 15. CONCLUSIONS: We defined a mass spectrometry signature that was associated with survival among NSCLC patients and appeared to distinguish those with poor prognosis from those with good prognosis."}
{"STANDARD_NAME":"KESHELAVA_MULTIPLE_DRUG_RESISTANCE","SYSTEMATIC_NAME":"M12618","ORGANISM":"Homo sapiens","PMID":"17623797","AUTHORS":"Keshelava N,Davicioni E,Wan Z,Ji L,Sposto R,Triche TJ,Reynolds CP","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in multiple drug resistant neuroblastoma cell lines.","DESCRIPTION_FULL":"BACKGROUND: Genes that are overexpressed in multidrug-resistant neuroblastomas relative to drug-sensitive neuroblastomas may provide targets for modulating drug resistance. METHODS: We used microarrays to compare the gene expression profile of two drug-sensitive neuroblastoma cell lines with that of three multidrug-resistant neuroblastoma cell lines. RNA expression of selected overexpressed genes was quantified in 17 neuroblastoma cell lines by reverse transcription-polymerase chain reaction (RT-PCR). Small-interfering RNAs (siRNAs) were used for silencing gene expression. Cytotoxicity of melphalan, carboplatin, etoposide, and vincristine and cytotoxic synergy (expressed as combination index calculated by CalcuSyn software, where combination index < 1 indicates synergy and > 1 indicates antagonism) were measured in cell lines with a fluorescence-based assay of cell viability. All statistical tests were two-sided. RESULTS: A total of 94 genes were overexpressed in the multidrug-resistant cell lines relative to the drug-sensitive cell lines. Nine genes were selected for RT-PCR analysis, of which four displayed higher mRNA expression in the multidrug-resistant lines than in the drug-sensitive lines: histone deacetylase 1 (HDAC1; 2.3-fold difference, 95% confidence interval [CI] = 1.0-fold to 3.5-fold, P = .025), nuclear transport factor 2-like export factor (4.2-fold difference, 95% CI = 1.7-fold to 7.6-fold, P = .0018), heat shock 27-kDa protein 1 (2.5-fold difference, 95% CI = 1.0-fold to 87.7-fold, P = .028), and TAF12 RNA polymerase II, TATA box-binding protein-associated factor, 20 kDa (2.2-fold, 95% CI = 0.9-fold to 6.0-fold, P = .051). siRNA knockdown of HDAC1 gene expression sensitized CHLA-136 neuroblastoma cells to etoposide up to fivefold relative to the parental cell line or scrambled siRNA-transfected cells (P<.001). Cytotoxicity of the histone deacetylase inhibitor depsipeptide was tested in combination with melphalan, carboplatin, etoposide, or vincristine in five multidrug-resistant neuroblastoma cell lines, and synergistic cytotoxicity was demonstrated at a 90% cell kill of treated cells (combination index < 0.8) in all cell lines. CONCLUSION: High HDAC1 mRNA expression was associated with multidrug resistance in neuroblastoma cell lines, and inhibition of HDAC1 expression or activity enhanced the cytotoxicity of chemotherapeutic drugs in multidrug-resistant neuroblastoma cell lines. Thus, HDAC1 is a potential therapeutic target in multidrug-resistant neuroblastoma."}
{"STANDARD_NAME":"WINNEPENNINCKX_MELANOMA_METASTASIS_DN","SYSTEMATIC_NAME":"M18320","ORGANISM":"Homo sapiens","PMID":"16595783","AUTHORS":"Winnepenninckx V,Lazar V,Michiels S,Dessen P,Stas M,Alonso SR,Avril MF,Ortiz Romero PL,Robert T,Balacescu O,Eggermont AM,Lenoir G,Sarasin A,Tursz T,van den Oord JJ,Spatz A,Melanoma Group of the European Organization for Research and Treatment of Cancer","GEOID":"E-TABM-2,E-TABM-1,E-TABM-4","EXACT_SOURCE":"Table 3S: direction=downregulated in M+","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes from the 254-gene classifier which were down-regulated in melanoma patients with a reported distant metastasis within 4 years.","DESCRIPTION_FULL":"BACKGROUND: Gene expression profiling data for human primary cutaneous melanomas are scarce because of the lack of retrospective collections of frozen tumors. To identify differentially expressed genes that may be involved in melanoma progression and prognosis, we investigated the relationship between gene expression profiles and clinical outcome in a cohort of patients with primary melanoma. METHODS: Labeled complementary RNA (cRNA) from each tissue sample was hybridized to a pangenomic 44K 60-mer oligonucleotide microarray. Class comparison and class prediction analyses were performed to identify genes whose expression in primary melanomas was associated with 4-year distant metastasis-free survival among 58 patients with at least 4 years of follow-up, distant metastasis, or death. Results were validated immunohistochemically at the protein level in 176 independent primary melanomas from patients with a median clinical follow-up of 8.5 years. Survival was analyzed with a Cox multivariable model and stratified log-rank test. All statistical tests were two-sided. RESULTS: We identified 254 genes that were associated with distant metastasis-free survival of patients with primary melanoma. These 254 genes include genes involved in activating DNA replication origins, such as minichromosome maintenance genes and geminin. Twenty-three of these genes were studied at the protein level; expression of five (MCM4, P = .002; MCM3, P = .030; MCM6, P = .004; KPNA2, P = .021; and geminin, P = .004) was statistically significantly associated with overall survival in the validation set. In a multivariable Cox model adjusted for tumor thickness, ulceration, age, and sex, expression of MCM4 (hazard ratio [HR] of death = 4.04, 95% confidence interval [CI] = 1.39 to 11.76; P = .010) and MCM6 (HR of death = 7.42, 95% CI = 1.99 to 27.64; P = .003) proteins was still statistically significantly associated with overall survival. CONCLUSION: We identified 254 genes whose expression was associated with metastatic dissemination of cutaneous melanomas. These genes may shed light on the molecular mechanisms underlying poor prognosis in melanoma patients."}
{"STANDARD_NAME":"TSAI_DNAJB4_TARGETS_DN","SYSTEMATIC_NAME":"M12315","ORGANISM":"Homo sapiens","PMID":"16788156","AUTHORS":"Tsai MF,Wang CC,Chang GC,Chen CY,Chen HY,Cheng CL,Yang YP,Wu CY,Shih FY,Liu CC,Lin HP,Jou YS,Lin SC,Lin CW,Chen WJ,Chan WK,Chen JJ,Yang PC","EXACT_SOURCE":"Table 1: Suppressed genes","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in CL1-5 cells (lung cancer) overexpressing DNAJB4 [GeneID=11080] off a plasmid vector.","DESCRIPTION_FULL":"BACKGROUND: We previously identified DnaJ-like heat shock protein (HLJ1) as a gene associated with tumor invasion. Here, we investigated the clinical significance of HLJ1 expression in non-small-cell lung cancer (NSCLC) patients and its role in cancer progression. METHODS: We induced HLJ1 overexpression or knockdown in human lung adenocarcinoma CL1-5 cells and analyzed cell proliferation, anchorage-independent growth, in vivo tumorigenesis, cell motility, invasion, and cell cycle progression. Expression of genes that act downstream of HLJ1 was examined by DNA microarray analysis, pathway analysis, and western blotting. We measured HLJ1 expression in tumors and adjacent normal tissues of 71 NSCLC patients by quantitative reverse transcription-polymerase chain reaction. Associations between HLJ1 expression and disease-free and overall survival were determined using the log-rank test and multivariable Cox proportional hazards regression analysis. Validation was performed in an independent cohort of 56 NSCLC patients. Loss of heterozygosity (LOH) mapping of the HLJ1 locus was analyzed in 48 paired microdissected NSCLC tumors. All statistical tests were two-sided. RESULTS: HLJ1 expression inhibited lung cancer cell proliferation, anchorage-independent growth, tumorigenesis, cell motility, and invasion, and slowed cell cycle progression through a novel STAT1/P21(WAF1) pathway that is independent of P53 and interferon. HLJ1 expression was lower in tumors than in adjacent normal tissue in 55 of 71 patients studied. NSCLC patients with high HLJI expressing tumors had reduced cancer recurrence (hazard ratio [HR] = 0.47; 95% confidence interval [CI] = 0.23 to 0.93; P = .03) and longer overall survival (HR = 0.38; 95% CI = 0.16 to 0.89; P = .03) than those with low-expressing tumors. Validation in the independent patient cohort confirmed the association between HLJ1 expression and patient outcome. LOH mapping revealed high frequencies (66.7% and 70.8%) of allelic loss and microsatellite instability (87.5% and 95.2%) of the HLJ1 locus at chromosome 1p31.1. CONCLUSIONS: HLJ1 is a novel tumor suppressor in NSCLC, and high HLJ1 expression is associated with reduced cancer recurrence and prolonged survival of NSCLC patients."}
{"STANDARD_NAME":"ASGHARZADEH_NEUROBLASTOMA_POOR_SURVIVAL_DN","SYSTEMATIC_NAME":"M17794","ORGANISM":"Homo sapiens","PMID":"16954472","AUTHORS":"Asgharzadeh S,Pique-Regi R,Sposto R,Wang H,Yang Y,Shimada H,Matthay K,Buckley J,Ortega A,Seeger RC","GEOID":"GSE3446","EXACT_SOURCE":"Fig. 5","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated genes associated with poor survival prognosis of patients with metastatic neuroblastoma that lack MYCN [GeneID=4613] amplification.","DESCRIPTION_FULL":"BACKGROUND: The aggressiveness of metastatic neuroblastomas that lack MYCN gene amplification varies with age--they are least aggressive when diagnosed in patients younger than 12 months and most aggressive when diagnosed in patients older than 24 months. However, age at diagnosis is not always associated with patient survival. We examined whether molecular classification of metastatic neuroblastomas without MYCN gene amplification at diagnosis using gene expression profiling could improve the prediction of risk of disease progression. METHODS: We used Affymetrix microarrays to determine the gene expression profiles of 102 untreated primary neuroblastomas without MYCN gene amplification obtained from children whose ages at diagnosis ranged from 0.1 to 151 months. A supervised method using diagonal linear discriminant analysis was devised to build a multigene model for predicting risk of disease progression. The accuracy of the model was evaluated using nested cross-validations, permutation analyses, and gene expression data from 15 additional tumors obtained at disease progression. RESULTS: An expression profile model using 55 genes defined a tumor signature that distinguished two groups of patients from among those older than 12 months at diagnosis and clinically classified as having high-risk disease, those with a progression-free survival (PFS) rate of 16% (95% confidence interval [CI] = 8% to 28%), and those with a PFS rate of 79% (95% CI = 57% to 91%) (P<.01). These tumor signatures also identified two groups of patients with PFS of 15% (95% CI = 7% to 27%) and 69% (95% CI = 40% to 86%) (P<.01) from among patients who were older than 18 months at diagnosis. The gene expression signature of untreated molecular high-risk tumors was also present in progressively growing tumors. CONCLUSION: Gene expression signatures of tumors obtained at diagnosis from patients with clinically indistinguishable high-risk, metastatic neuroblastomas identify subgroups with different outcomes. Accurate identification of these subgroups with gene expression profiles may facilitate development, implementation, and analysis of clinical trials aimed at improving outcome."}
{"STANDARD_NAME":"LI_PROSTATE_CANCER_EPIGENETIC","SYSTEMATIC_NAME":"M10861","ORGANISM":"Homo sapiens","PMID":"15657340","AUTHORS":"Li LC,Carroll PR,Dahiya R","EXACT_SOURCE":"Table 1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes affected by epigenetic aberrations in prostate cancer.","DESCRIPTION_FULL":"Prostate cancer is the most common noncutaneous malignancy and the second leading cause of cancer death among men in the United States. DNA methylation and histone modifications are important epigenetic mechanisms of gene regulation and play essential roles both independently and cooperatively in tumor initiation and progression. Aberrant epigenetic events such as DNA hypo- and hypermethylation and altered histone acetylation have both been observed in prostate cancer, in which they affect a large number of genes. Although the list of aberrantly epigenetically regulated genes continues to grow, only a few genes have, so far, given promising results as potential tumor biomarkers for early diagnosis and risk assessment of prostate cancer. Thus, large-scale screening of aberrant epigenetic events such as DNA hypermethylation is needed to identify prostate cancer-specific epigenetic fingerprints. The reversibility of epigenetic aberrations has made them attractive targets for cancer treatment with modulators that demethylate DNA and inhibit histone deacetylases, leading to reactivation of silenced genes. More studies into the mechanism and consequence of demethylation are required before the cancer epigenome can be safely manipulated with therapeutics as a treatment modality. In this review, we examine the current literature on epigenetic changes in prostate cancer and discuss the clinical potential of cancer epigenetics for the diagnosis and treatment of this disease."}
{"STANDARD_NAME":"FONTAINE_FOLLICULAR_THYROID_ADENOMA_UP","SYSTEMATIC_NAME":"M4605","ORGANISM":"Homo sapiens","PMID":"17968324","AUTHORS":"Fontaine JF,Mirebeau-Prunier D,Franc B,Triau S,Rodien P,Houlgatte R,Malthièry Y,Savagner F","GEOID":"GSE6339","EXACT_SOURCE":"Table 1S: FTA +","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in follicular thyroid adenoma (FTA) compared to other thyroid tumors.","DESCRIPTION_FULL":"Conventional histology failed to classify part of non-medullary thyroid lesions as either benign or malignant. The group of tumours of uncertain malignancy (T-UM) concerns either atypical follicular adenomas or the recently called 'tumours of uncertain malignant potential'. To refine this classification we analysed microarray data from 93 follicular thyroid tumours: 10 T-UM, 3 follicular carcinomas, 13 papillary thyroid carcinomas and 67 follicular adenomas, compared to 73 control thyroid tissue samples. The diagnosis potential of 16 selected genes was validated by real-time quantitative RT-PCR on 6 additional T-UM. The gene expression profiles in several groups were examined with reference to the mutational status of the RET/PTC, BRAF and RAS genes. A pathological score (histological and immunohistochemical) was estimate for each of the T-UM involved in the study. The correlation between the T-UM gene profiles and the pathological score allowed a separation of the samples in two groups of benign or malignant tumours. Our analysis confirms the heterogeneity of T-UM and highlighted the molecular similarities between some cases and true carcinomas. We demonstrated the ability of few marker genes to serve as diagnosis tools and the need of a T-UM pathological scoring."}
{"STANDARD_NAME":"FONTAINE_FOLLICULAR_THYROID_ADENOMA_DN","SYSTEMATIC_NAME":"M5370","ORGANISM":"Homo sapiens","PMID":"17968324","AUTHORS":"Fontaine JF,Mirebeau-Prunier D,Franc B,Triau S,Rodien P,Houlgatte R,Malthièry Y,Savagner F","GEOID":"GSE6339","EXACT_SOURCE":"Table 1S: FTA -","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in follicular thyroid adenoma (FTA) compared to other thyroid tumors.","DESCRIPTION_FULL":"Conventional histology failed to classify part of non-medullary thyroid lesions as either benign or malignant. The group of tumours of uncertain malignancy (T-UM) concerns either atypical follicular adenomas or the recently called 'tumours of uncertain malignant potential'. To refine this classification we analysed microarray data from 93 follicular thyroid tumours: 10 T-UM, 3 follicular carcinomas, 13 papillary thyroid carcinomas and 67 follicular adenomas, compared to 73 control thyroid tissue samples. The diagnosis potential of 16 selected genes was validated by real-time quantitative RT-PCR on 6 additional T-UM. The gene expression profiles in several groups were examined with reference to the mutational status of the RET/PTC, BRAF and RAS genes. A pathological score (histological and immunohistochemical) was estimate for each of the T-UM involved in the study. The correlation between the T-UM gene profiles and the pathological score allowed a separation of the samples in two groups of benign or malignant tumours. Our analysis confirms the heterogeneity of T-UM and highlighted the molecular similarities between some cases and true carcinomas. We demonstrated the ability of few marker genes to serve as diagnosis tools and the need of a T-UM pathological scoring."}
{"STANDARD_NAME":"FONTAINE_THYROID_TUMOR_UNCERTAIN_MALIGNANCY_UP","SYSTEMATIC_NAME":"M4957","ORGANISM":"Homo sapiens","PMID":"17968324","AUTHORS":"Fontaine JF,Mirebeau-Prunier D,Franc B,Triau S,Rodien P,Houlgatte R,Malthièry Y,Savagner F","GEOID":"GSE6339","EXACT_SOURCE":"Table 1S: T-UM +","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in thyroid tumors of uncertain malignancy (T-UM) compared to other thyroid tumors.","DESCRIPTION_FULL":"Conventional histology failed to classify part of non-medullary thyroid lesions as either benign or malignant. The group of tumours of uncertain malignancy (T-UM) concerns either atypical follicular adenomas or the recently called 'tumours of uncertain malignant potential'. To refine this classification we analysed microarray data from 93 follicular thyroid tumours: 10 T-UM, 3 follicular carcinomas, 13 papillary thyroid carcinomas and 67 follicular adenomas, compared to 73 control thyroid tissue samples. The diagnosis potential of 16 selected genes was validated by real-time quantitative RT-PCR on 6 additional T-UM. The gene expression profiles in several groups were examined with reference to the mutational status of the RET/PTC, BRAF and RAS genes. A pathological score (histological and immunohistochemical) was estimate for each of the T-UM involved in the study. The correlation between the T-UM gene profiles and the pathological score allowed a separation of the samples in two groups of benign or malignant tumours. Our analysis confirms the heterogeneity of T-UM and highlighted the molecular similarities between some cases and true carcinomas. We demonstrated the ability of few marker genes to serve as diagnosis tools and the need of a T-UM pathological scoring."}
{"STANDARD_NAME":"FONTAINE_THYROID_TUMOR_UNCERTAIN_MALIGNANCY_DN","SYSTEMATIC_NAME":"M18834","ORGANISM":"Homo sapiens","PMID":"17968324","AUTHORS":"Fontaine JF,Mirebeau-Prunier D,Franc B,Triau S,Rodien P,Houlgatte R,Malthièry Y,Savagner F","GEOID":"GSE6339","EXACT_SOURCE":"Table 1S: T-UM -","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in thyroid tumors of uncertain malignancy (T-UM) compared to other thyroid tumors.","DESCRIPTION_FULL":"Conventional histology failed to classify part of non-medullary thyroid lesions as either benign or malignant. The group of tumours of uncertain malignancy (T-UM) concerns either atypical follicular adenomas or the recently called 'tumours of uncertain malignant potential'. To refine this classification we analysed microarray data from 93 follicular thyroid tumours: 10 T-UM, 3 follicular carcinomas, 13 papillary thyroid carcinomas and 67 follicular adenomas, compared to 73 control thyroid tissue samples. The diagnosis potential of 16 selected genes was validated by real-time quantitative RT-PCR on 6 additional T-UM. The gene expression profiles in several groups were examined with reference to the mutational status of the RET/PTC, BRAF and RAS genes. A pathological score (histological and immunohistochemical) was estimate for each of the T-UM involved in the study. The correlation between the T-UM gene profiles and the pathological score allowed a separation of the samples in two groups of benign or malignant tumours. Our analysis confirms the heterogeneity of T-UM and highlighted the molecular similarities between some cases and true carcinomas. We demonstrated the ability of few marker genes to serve as diagnosis tools and the need of a T-UM pathological scoring."}
{"STANDARD_NAME":"FONTAINE_PAPILLARY_THYROID_CARCINOMA_UP","SYSTEMATIC_NAME":"M12353","ORGANISM":"Homo sapiens","PMID":"17968324","AUTHORS":"Fontaine JF,Mirebeau-Prunier D,Franc B,Triau S,Rodien P,Houlgatte R,Malthièry Y,Savagner F","GEOID":"GSE6339","EXACT_SOURCE":"Table 1S: PTC +","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in papillary thyroid carcinoma (PTC) compared to other thyroid tumors.","DESCRIPTION_FULL":"Conventional histology failed to classify part of non-medullary thyroid lesions as either benign or malignant. The group of tumours of uncertain malignancy (T-UM) concerns either atypical follicular adenomas or the recently called 'tumours of uncertain malignant potential'. To refine this classification we analysed microarray data from 93 follicular thyroid tumours: 10 T-UM, 3 follicular carcinomas, 13 papillary thyroid carcinomas and 67 follicular adenomas, compared to 73 control thyroid tissue samples. The diagnosis potential of 16 selected genes was validated by real-time quantitative RT-PCR on 6 additional T-UM. The gene expression profiles in several groups were examined with reference to the mutational status of the RET/PTC, BRAF and RAS genes. A pathological score (histological and immunohistochemical) was estimate for each of the T-UM involved in the study. The correlation between the T-UM gene profiles and the pathological score allowed a separation of the samples in two groups of benign or malignant tumours. Our analysis confirms the heterogeneity of T-UM and highlighted the molecular similarities between some cases and true carcinomas. We demonstrated the ability of few marker genes to serve as diagnosis tools and the need of a T-UM pathological scoring."}
{"STANDARD_NAME":"FONTAINE_PAPILLARY_THYROID_CARCINOMA_DN","SYSTEMATIC_NAME":"M14275","ORGANISM":"Homo sapiens","PMID":"17968324","AUTHORS":"Fontaine JF,Mirebeau-Prunier D,Franc B,Triau S,Rodien P,Houlgatte R,Malthièry Y,Savagner F","GEOID":"GSE6339","EXACT_SOURCE":"Table 1S: PTC -","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in papillary thyroid carcinoma (PTC) compared to other thyroid tumors.","DESCRIPTION_FULL":"Conventional histology failed to classify part of non-medullary thyroid lesions as either benign or malignant. The group of tumours of uncertain malignancy (T-UM) concerns either atypical follicular adenomas or the recently called 'tumours of uncertain malignant potential'. To refine this classification we analysed microarray data from 93 follicular thyroid tumours: 10 T-UM, 3 follicular carcinomas, 13 papillary thyroid carcinomas and 67 follicular adenomas, compared to 73 control thyroid tissue samples. The diagnosis potential of 16 selected genes was validated by real-time quantitative RT-PCR on 6 additional T-UM. The gene expression profiles in several groups were examined with reference to the mutational status of the RET/PTC, BRAF and RAS genes. A pathological score (histological and immunohistochemical) was estimate for each of the T-UM involved in the study. The correlation between the T-UM gene profiles and the pathological score allowed a separation of the samples in two groups of benign or malignant tumours. Our analysis confirms the heterogeneity of T-UM and highlighted the molecular similarities between some cases and true carcinomas. We demonstrated the ability of few marker genes to serve as diagnosis tools and the need of a T-UM pathological scoring."}
{"STANDARD_NAME":"LIANG_HEMATOPOIESIS_STEM_CELL_NUMBER_QTL","SYSTEMATIC_NAME":"M3903","ORGANISM":"Mus musculus","PMID":"17220891","AUTHORS":"Liang Y,Jansen M,Aronow B,Geiger H,Van Zant G","EXACT_SOURCE":"Table 1","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes changed in LSK cells (bone marrow) as a function of a QTL for the size of hematopoietic stem cell (HSC) population: comparison of reciprocal congenic strains D.B. Chr3 (DB), B.D. Chr3 (BD) and the parental strains B6 and D2.","DESCRIPTION_FULL":"We mapped quantitative trait loci that accounted for the variation in hematopoietic stem cell (HSC) numbers between young adult C57BL/6 (B6) and DBA/2 (D2) mice. In reciprocal chromosome 3 congenic mice, introgressed D2 alleles increased HSC numbers owing to enhanced proliferation and self-renewal and reduced apoptosis, whereas B6 alleles had the opposite effects. Using oligonucleotide arrays, real-time PCR and protein blots, we identified latexin (Lxn), a gene whose differential transcription and expression was associated with the allelic differences. Expression was inversely correlated with the number of HSCs; therefore, ectopic expression of Lxn using a retroviral vector decreased stem cell population size. We identified clusters of SNPs upstream of the Lxn transcriptional start site, at least two of which are associated with potential binding sites for transcription factors regulating stem cells. Thus, promoter polymorphisms between the B6 and D2 alleles may affect Lxn gene expression and consequently influence the population size of hematopoietic stem cells."}
{"STANDARD_NAME":"WEBER_METHYLATED_LCP_IN_FIBROBLAST_DN","SYSTEMATIC_NAME":"M13611","ORGANISM":"Homo sapiens","PMID":"17334365","AUTHORS":"Weber M,Hellmann I,Stadler MB,Ramos L,Pääbo S,Rebhan M,Schübeler D","EXACT_SOURCE":"Table 1S: LCP, 5mC (log2) in fibroblasts < 0","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Unmethylated germline-specific genes with low-CpG-density promoters (LCP) in primary fibroblasts.","DESCRIPTION_FULL":"To gain insight into the function of DNA methylation at cis-regulatory regions and its impact on gene expression, we measured methylation, RNA polymerase occupancy and histone modifications at 16,000 promoters in primary human somatic and germline cells. We find CpG-poor promoters hypermethylated in somatic cells, which does not preclude their activity. This methylation is present in male gametes and results in evolutionary loss of CpG dinucleotides, as measured by divergence between humans and primates. In contrast, strong CpG island promoters are mostly unmethylated, even when inactive. Weak CpG island promoters are distinct, as they are preferential targets for de novo methylation in somatic cells. Notably, most germline-specific genes are methylated in somatic cells, suggesting additional functional selection. These results show that promoter sequence and gene function are major predictors of promoter methylation states. Moreover, we observe that inactive unmethylated CpG island promoters show elevated levels of dimethylation of Lys4 of histone H3, suggesting that this chromatin mark may protect DNA from methylation."}
{"STANDARD_NAME":"WEBER_METHYLATED_LCP_IN_SPERM_DN","SYSTEMATIC_NAME":"M4762","ORGANISM":"Homo sapiens","PMID":"17334365","AUTHORS":"Weber M,Hellmann I,Stadler MB,Ramos L,Pääbo S,Rebhan M,Schübeler D","EXACT_SOURCE":"Table 1S: LCP, 5mC (log2) in sperm < 0","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Unmethylated germline-specific genes with low-CpG-density promoters (LCP) in sperm.","DESCRIPTION_FULL":"To gain insight into the function of DNA methylation at cis-regulatory regions and its impact on gene expression, we measured methylation, RNA polymerase occupancy and histone modifications at 16,000 promoters in primary human somatic and germline cells. We find CpG-poor promoters hypermethylated in somatic cells, which does not preclude their activity. This methylation is present in male gametes and results in evolutionary loss of CpG dinucleotides, as measured by divergence between humans and primates. In contrast, strong CpG island promoters are mostly unmethylated, even when inactive. Weak CpG island promoters are distinct, as they are preferential targets for de novo methylation in somatic cells. Notably, most germline-specific genes are methylated in somatic cells, suggesting additional functional selection. These results show that promoter sequence and gene function are major predictors of promoter methylation states. Moreover, we observe that inactive unmethylated CpG island promoters show elevated levels of dimethylation of Lys4 of histone H3, suggesting that this chromatin mark may protect DNA from methylation."}
{"STANDARD_NAME":"PUJANA_BREAST_CANCER_WITH_BRCA1_MUTATED_DN","SYSTEMATIC_NAME":"M376","ORGANISM":"Homo sapiens","PMID":"17922014","AUTHORS":"Pujana MA,Han JD,Starita LM,Stevens KN,Tewari M,Ahn JS,Rennert G,Moreno V,Kirchhoff T,Gold B,Assmann V,Elshamy WM,Rual JF,Levine D,Rozek LS,Gelman RS,Gunsalus KC,Greenberg RA,Sobhian B,Bertin N,Venkatesan K,Ayivi-Guedehoussou N,Solé X,Hernández P,Lázaro C,Nathanson KL,Weber BL,Cusick ME,Hill DE,Offit K,Livingston DM,Gruber SB,Parvin JD,Vidal M","EXACT_SOURCE":"Table 4S: Difference < 0","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"The XPRSS-Int network genes down-regulated in breast tumors from patients with germline mutations in BRCA1 [GeneID=672] compared to those with the wild type allele.","DESCRIPTION_FULL":"Many cancer-associated genes remain to be identified to clarify the underlying molecular mechanisms of cancer susceptibility and progression. Better understanding is also required of how mutations in cancer genes affect their products in the context of complex cellular networks. Here we have used a network modeling strategy to identify genes potentially associated with higher risk of breast cancer. Starting with four known genes encoding tumor suppressors of breast cancer, we combined gene expression profiling with functional genomic and proteomic (or 'omic') data from various species to generate a network containing 118 genes linked by 866 potential functional associations. This network shows higher connectivity than expected by chance, suggesting that its components function in biologically related pathways. One of the components of the network is HMMR, encoding a centrosome subunit, for which we demonstrate previously unknown functional associations with the breast cancer-associated gene BRCA1. Two case-control studies of incident breast cancer indicate that the HMMR locus is associated with higher risk of breast cancer in humans. Our network modeling strategy should be useful for the discovery of additional cancer-associated genes."}
{"STANDARD_NAME":"GYORFFY_DOXORUBICIN_RESISTANCE","SYSTEMATIC_NAME":"M1987","ORGANISM":"Homo sapiens","PMID":"16044152","AUTHORS":"Györffy B,Serra V,Jürchott K,Abdul-Ghani R,Garber M,Stein U,Petersen I,Lage H,Dietel M,Schäfer R","EXACT_SOURCE":"Table 2S","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes associated with resistance to doxorubicin [PubChem=31703].","DESCRIPTION_FULL":"Up to date clinical tests for predicting cancer chemotherapy response are not available and individual markers have shown little predictive value. We hypothesized that gene expression patterns attributable to chemotherapy-resistant cells can predict response and cancer prognosis. We contrasted the expression profiles of 13 different human tumor cell lines of gastric (EPG85-257), pancreatic (EPP85-181), colon (HT29) and breast (MCF7 and MDA-MB-231) origin and their counterparts resistant to the topoisomerase inhibitors daunorubicin, doxorubicin or mitoxantrone. We interrogated cDNA arrays with 43 000 cDNA clones ( approximately 30 000 unique genes) to study the expression pattern of these cell lines. We divided gene expression profiles into two sets: we compared the expression patterns of the daunorubicin/doxorubicin-resistant cell lines and the mitoxantrone-resistant cell lines independently to the parental cell lines. For identifying predictive genes, the Prediction Analysis for Mircorarrays algorithm was used. The analysis revealed 79 genes best correlated with doxorubicin resistance and 70 genes with mitoxantrone resistance. In an independent classification experiment, we applied our model of resistance for predicting the sensitivity of 44 previously characterized breast cancer samples. The patient group characterized by the gene expression profile similar to those of doxorubicin-sensitive cell lines exhibited longer survival (49.7+/-26.1 months, n=21, P=0.034) than the resistant group (32.9+/-18.7 months, n=23). The application of gene expression signatures derived from doxorubicin-resistant and -sensitive cell lines allowed to predict effectively clinical survival after doxorubicin monotherapy. Our approach demonstrates the significance of in vitro experiments in the development of new strategies for cancer response prediction."}
{"STANDARD_NAME":"GYORFFY_MITOXANTRONE_RESISTANCE","SYSTEMATIC_NAME":"M1988","ORGANISM":"Homo sapiens","PMID":"16044152","AUTHORS":"Györffy B,Serra V,Jürchott K,Abdul-Ghani R,Garber M,Stein U,Petersen I,Lage H,Dietel M,Schäfer R","EXACT_SOURCE":"Table 3S","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes associated with resistance to mitoxantrone [PubChem=4212].","DESCRIPTION_FULL":"Up to date clinical tests for predicting cancer chemotherapy response are not available and individual markers have shown little predictive value. We hypothesized that gene expression patterns attributable to chemotherapy-resistant cells can predict response and cancer prognosis. We contrasted the expression profiles of 13 different human tumor cell lines of gastric (EPG85-257), pancreatic (EPP85-181), colon (HT29) and breast (MCF7 and MDA-MB-231) origin and their counterparts resistant to the topoisomerase inhibitors daunorubicin, doxorubicin or mitoxantrone. We interrogated cDNA arrays with 43 000 cDNA clones ( approximately 30 000 unique genes) to study the expression pattern of these cell lines. We divided gene expression profiles into two sets: we compared the expression patterns of the daunorubicin/doxorubicin-resistant cell lines and the mitoxantrone-resistant cell lines independently to the parental cell lines. For identifying predictive genes, the Prediction Analysis for Mircorarrays algorithm was used. The analysis revealed 79 genes best correlated with doxorubicin resistance and 70 genes with mitoxantrone resistance. In an independent classification experiment, we applied our model of resistance for predicting the sensitivity of 44 previously characterized breast cancer samples. The patient group characterized by the gene expression profile similar to those of doxorubicin-sensitive cell lines exhibited longer survival (49.7+/-26.1 months, n=21, P=0.034) than the resistant group (32.9+/-18.7 months, n=23). The application of gene expression signatures derived from doxorubicin-resistant and -sensitive cell lines allowed to predict effectively clinical survival after doxorubicin monotherapy. Our approach demonstrates the significance of in vitro experiments in the development of new strategies for cancer response prediction."}
{"STANDARD_NAME":"SYED_ESTRADIOL_RESPONSE","SYSTEMATIC_NAME":"M13262","ORGANISM":"Homo sapiens","PMID":"16116479","AUTHORS":"Syed V,Zhang X,Lau KM,Cheng R,Mukherjee K,Ho SM","EXACT_SOURCE":"Table 1","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes responsive to estradiol [PubChem=5757] both in normal and cancer ovarian cell lines.","DESCRIPTION_FULL":"Estrogens regulate normal ovarian surface epithelium (OSE) cell functions but also affect epithelial ovarian cancer (OCa) development. Little is known about how estrogens play such opposing roles. Transcriptional profiling using a cDNA microarray containing 2400 named genes identified 155 genes whose expression was altered by estradiol-17beta (E2) in three immortalized normal human ovarian surface epithelial (HOSE) cell lines and 315 genes whose expression was affected by the hormone in three established OCa (OVCA) cell lines. All but 19 of the genes in these two sets were different. Among the 19 overlapping genes, five were found to show discordant responses between HOSE and OVCA cell lines. The five genes are those that encode clone 5.1 RNA-binding protein (RNPS1), erythrocyte adducin alpha subunit (ADD1), plexin A3 (PLXNA3 or the SEX gene), nuclear protein SkiP (SKIIP), and Rap-2 (rap-2). RNPS1, ADD1, rap-2, and SKIIP were upregulated by E2 in HOSE cells but downregulated by estrogen in OVCA cells, whereas PLXNA3 showed the reverse pattern of regulation. The estrogen effects was observed within 6-18 h of treatment. In silicon analyses revealed presence of estrogen response elements in the proximal promoters of all five genes. RNPS1, ADD1, and PLXNA3 were underexpressed in OVCA cell lines compared to HOSE cell lines, while the opposite was true for rap-2 and SKIIP. Functional studies showed that RNPS1 and ADD1 exerted multiple antitumor actions in OVCA cells, while PLXNA3 only inhibited cell invasiveness. In contrast, rap-2 was found to cause significant oncogenic effects in OVCA cells, while SKIIP promotes only anchorage-independent growth. In sum, gene profiling data reveal that (1) E2 exerts different actions on HOSE cells than on OVCA cells by affecting two distinct transcriptomes with few overlapping genes and (2) among the overlapping genes, a set of putative oncogenes/tumor suppressors have been identified due to their differential responses to E2 between the two cell types. These findings may explain the paradoxical roles of estrogens in regulating normal and malignant OSE cell functions."}
{"STANDARD_NAME":"LOPEZ_EPITHELIOID_MESOTHELIOMA","SYSTEMATIC_NAME":"M409","ORGANISM":"Homo sapiens","PMID":"16540645","AUTHORS":"López-Ríos F,Chuai S,Flores R,Shimizu S,Ohno T,Wakahara K,Illei PB,Hussain S,Krug L,Zakowski MF,Rusch V,Olshen AB,Ladanyi M","EXACT_SOURCE":"Table 3","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top 20 genes expressed higher in epithelioid than in sarcomatoid mesothelioma samples.","DESCRIPTION_FULL":"Most gene expression profiling studies of mesothelioma have been based on relatively small sample numbers, limiting their statistical power. We did Affymetrix U133A microarray analysis on 99 pleural mesotheliomas, in which multivariate analysis showed advanced-stage, sarcomatous histology and P16/CDKN2A homozygous deletion to be significant independent adverse prognostic factors. Comparison of the expression profiles of epithelioid versus sarcomatous mesotheliomas identified many genes significantly overexpressed among the former, including previously unrecognized ones, such as uroplakins and kallikrein 11, both confirmed by immunohistochemistry. Examination of the gene expression correlates of survival showed that more aggressive mesotheliomas expressed higher levels of Aurora kinases A and B and functionally related genes involved in mitosis and cell cycle control. Independent confirmation of the negative effect of Aurora kinase B was obtained by immunohistochemistry in a separate patient cohort. A role for Aurora kinases in the aggressive behavior of mesotheliomas is of potential clinical interest because of the recent development of small-molecule inhibitors. We then used our data to develop microarray-based predictors of 1 year survival; these achieved a maximal accuracy of 68% in cross-validation. However, this was inferior to prognostic prediction based on standard clinicopathologic variables and P16/CDNK2A status (accuracy, 73%), and adding the microarray model to the latter did not improve overall accuracy. Finally, we evaluated three recently published microarray-based outcome prediction models, but their accuracies ranged from 63% to 67%, consistently lower than reported. Gene expression profiling of mesotheliomas is an important discovery tool, but its power in clinical prognostication has been overestimated."}
{"STANDARD_NAME":"LOPEZ_MESOTHELIOMA_SURVIVAL_OVERALL_UP","SYSTEMATIC_NAME":"M10759","ORGANISM":"Homo sapiens","PMID":"16540645","AUTHORS":"López-Ríos F,Chuai S,Flores R,Shimizu S,Ohno T,Wakahara K,Illei PB,Hussain S,Krug L,Zakowski MF,Rusch V,Olshen AB,Ladanyi M","EXACT_SOURCE":"Table 3AS: Favorable","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top genes associated with favorable overall survival of mesothelioma patients after surgery.","DESCRIPTION_FULL":"Most gene expression profiling studies of mesothelioma have been based on relatively small sample numbers, limiting their statistical power. We did Affymetrix U133A microarray analysis on 99 pleural mesotheliomas, in which multivariate analysis showed advanced-stage, sarcomatous histology and P16/CDKN2A homozygous deletion to be significant independent adverse prognostic factors. Comparison of the expression profiles of epithelioid versus sarcomatous mesotheliomas identified many genes significantly overexpressed among the former, including previously unrecognized ones, such as uroplakins and kallikrein 11, both confirmed by immunohistochemistry. Examination of the gene expression correlates of survival showed that more aggressive mesotheliomas expressed higher levels of Aurora kinases A and B and functionally related genes involved in mitosis and cell cycle control. Independent confirmation of the negative effect of Aurora kinase B was obtained by immunohistochemistry in a separate patient cohort. A role for Aurora kinases in the aggressive behavior of mesotheliomas is of potential clinical interest because of the recent development of small-molecule inhibitors. We then used our data to develop microarray-based predictors of 1 year survival; these achieved a maximal accuracy of 68% in cross-validation. However, this was inferior to prognostic prediction based on standard clinicopathologic variables and P16/CDNK2A status (accuracy, 73%), and adding the microarray model to the latter did not improve overall accuracy. Finally, we evaluated three recently published microarray-based outcome prediction models, but their accuracies ranged from 63% to 67%, consistently lower than reported. Gene expression profiling of mesotheliomas is an important discovery tool, but its power in clinical prognostication has been overestimated."}
{"STANDARD_NAME":"LOPEZ_MESOTHELIOMA_SURVIVAL_OVERALL_DN","SYSTEMATIC_NAME":"M16003","ORGANISM":"Homo sapiens","PMID":"16540645","AUTHORS":"López-Ríos F,Chuai S,Flores R,Shimizu S,Ohno T,Wakahara K,Illei PB,Hussain S,Krug L,Zakowski MF,Rusch V,Olshen AB,Ladanyi M","EXACT_SOURCE":"Table 3AS: Unfavorable","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top genes associated with unfavorable overall survival of mesothelioma patients after surgery.","DESCRIPTION_FULL":"Most gene expression profiling studies of mesothelioma have been based on relatively small sample numbers, limiting their statistical power. We did Affymetrix U133A microarray analysis on 99 pleural mesotheliomas, in which multivariate analysis showed advanced-stage, sarcomatous histology and P16/CDKN2A homozygous deletion to be significant independent adverse prognostic factors. Comparison of the expression profiles of epithelioid versus sarcomatous mesotheliomas identified many genes significantly overexpressed among the former, including previously unrecognized ones, such as uroplakins and kallikrein 11, both confirmed by immunohistochemistry. Examination of the gene expression correlates of survival showed that more aggressive mesotheliomas expressed higher levels of Aurora kinases A and B and functionally related genes involved in mitosis and cell cycle control. Independent confirmation of the negative effect of Aurora kinase B was obtained by immunohistochemistry in a separate patient cohort. A role for Aurora kinases in the aggressive behavior of mesotheliomas is of potential clinical interest because of the recent development of small-molecule inhibitors. We then used our data to develop microarray-based predictors of 1 year survival; these achieved a maximal accuracy of 68% in cross-validation. However, this was inferior to prognostic prediction based on standard clinicopathologic variables and P16/CDNK2A status (accuracy, 73%), and adding the microarray model to the latter did not improve overall accuracy. Finally, we evaluated three recently published microarray-based outcome prediction models, but their accuracies ranged from 63% to 67%, consistently lower than reported. Gene expression profiling of mesotheliomas is an important discovery tool, but its power in clinical prognostication has been overestimated."}
{"STANDARD_NAME":"LOPEZ_MESOTHELIOMA_SURVIVAL_UP","SYSTEMATIC_NAME":"M16161","ORGANISM":"Homo sapiens","PMID":"16540645","AUTHORS":"López-Ríos F,Chuai S,Flores R,Shimizu S,Ohno T,Wakahara K,Illei PB,Hussain S,Krug L,Zakowski MF,Rusch V,Olshen AB,Ladanyi M","EXACT_SOURCE":"Table 4AS: Favorable","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top genes associated with favorable survival after surgery of patients with epithelioid mesothelioma.","DESCRIPTION_FULL":"Most gene expression profiling studies of mesothelioma have been based on relatively small sample numbers, limiting their statistical power. We did Affymetrix U133A microarray analysis on 99 pleural mesotheliomas, in which multivariate analysis showed advanced-stage, sarcomatous histology and P16/CDKN2A homozygous deletion to be significant independent adverse prognostic factors. Comparison of the expression profiles of epithelioid versus sarcomatous mesotheliomas identified many genes significantly overexpressed among the former, including previously unrecognized ones, such as uroplakins and kallikrein 11, both confirmed by immunohistochemistry. Examination of the gene expression correlates of survival showed that more aggressive mesotheliomas expressed higher levels of Aurora kinases A and B and functionally related genes involved in mitosis and cell cycle control. Independent confirmation of the negative effect of Aurora kinase B was obtained by immunohistochemistry in a separate patient cohort. A role for Aurora kinases in the aggressive behavior of mesotheliomas is of potential clinical interest because of the recent development of small-molecule inhibitors. We then used our data to develop microarray-based predictors of 1 year survival; these achieved a maximal accuracy of 68% in cross-validation. However, this was inferior to prognostic prediction based on standard clinicopathologic variables and P16/CDNK2A status (accuracy, 73%), and adding the microarray model to the latter did not improve overall accuracy. Finally, we evaluated three recently published microarray-based outcome prediction models, but their accuracies ranged from 63% to 67%, consistently lower than reported. Gene expression profiling of mesotheliomas is an important discovery tool, but its power in clinical prognostication has been overestimated."}
{"STANDARD_NAME":"LOPEZ_MESOTHELIOMA_SURVIVAL_DN","SYSTEMATIC_NAME":"M10263","ORGANISM":"Homo sapiens","PMID":"16540645","AUTHORS":"López-Ríos F,Chuai S,Flores R,Shimizu S,Ohno T,Wakahara K,Illei PB,Hussain S,Krug L,Zakowski MF,Rusch V,Olshen AB,Ladanyi M","EXACT_SOURCE":"Table 4AS: Unfavorable","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top genes associated with unfavorable survival after surgery of patients with epithelioid mesothelioma.","DESCRIPTION_FULL":"Most gene expression profiling studies of mesothelioma have been based on relatively small sample numbers, limiting their statistical power. We did Affymetrix U133A microarray analysis on 99 pleural mesotheliomas, in which multivariate analysis showed advanced-stage, sarcomatous histology and P16/CDKN2A homozygous deletion to be significant independent adverse prognostic factors. Comparison of the expression profiles of epithelioid versus sarcomatous mesotheliomas identified many genes significantly overexpressed among the former, including previously unrecognized ones, such as uroplakins and kallikrein 11, both confirmed by immunohistochemistry. Examination of the gene expression correlates of survival showed that more aggressive mesotheliomas expressed higher levels of Aurora kinases A and B and functionally related genes involved in mitosis and cell cycle control. Independent confirmation of the negative effect of Aurora kinase B was obtained by immunohistochemistry in a separate patient cohort. A role for Aurora kinases in the aggressive behavior of mesotheliomas is of potential clinical interest because of the recent development of small-molecule inhibitors. We then used our data to develop microarray-based predictors of 1 year survival; these achieved a maximal accuracy of 68% in cross-validation. However, this was inferior to prognostic prediction based on standard clinicopathologic variables and P16/CDNK2A status (accuracy, 73%), and adding the microarray model to the latter did not improve overall accuracy. Finally, we evaluated three recently published microarray-based outcome prediction models, but their accuracies ranged from 63% to 67%, consistently lower than reported. Gene expression profiling of mesotheliomas is an important discovery tool, but its power in clinical prognostication has been overestimated."}
{"STANDARD_NAME":"KORKOLA_CORRELATED_WITH_POU5F1","SYSTEMATIC_NAME":"M4967","ORGANISM":"Homo sapiens","PMID":"16424014","AUTHORS":"Korkola JE,Houldsworth J,Chadalavada RS,Olshen AB,Dobrzynski D,Reuter VE,Bosl GJ,Chaganti RS","EXACT_SOURCE":"Table 4S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes whose expression pattern in adult male germ cell tumors (GCT) correlates with POU5F1 [GeneID=5460].","DESCRIPTION_FULL":"Adult male germ cell tumors (GCTs) comprise distinct groups: seminomas and nonseminomas, which include pluripotent embryonal carcinomas as well as other histologic subtypes exhibiting various stages of differentiation. Almost all GCTs show 12p gain, but the target genes have not been clearly defined. To identify 12p target genes, we examined Affymetrix (Santa Clara, CA) U133A+B microarray ( approximately 83% coverage of 12p genes) expression profiles of 17 seminomas, 84 nonseminoma GCTs, and 5 normal testis samples. Seventy-three genes on 12p were significantly overexpressed, including GLUT3 and REA (overexpressed in all GCTs) and CCND2 and FLJ22028 (overexpressed in all GCTs, except choriocarcinomas). We characterized a 200-kb gene cluster at 12p13.31 that exhibited coordinated overexpression in embryonal carcinomas and seminomas, which included the known stem cell genes NANOG, STELLA, and GDF3 and two previously uncharacterized genes. A search for other coordinately regulated genomic clusters of stem cell genes did not reveal any genomic regions similar to that at 12p13.31. Comparison of embryonal carcinoma with seminomas revealed relative overexpression of several stem cell-associated genes in embryonal carcinoma, including several core stemness genes (EBAF, TDGF1, and SOX2) and several downstream targets of WNT, NODAL, and FGF signaling (FGF4, NODAL, and ZFP42). Our results indicate that 12p gain is a functionally relevant change leading to activation of proliferation and reestablishment/maintenance of stem cell function through activation of key stem cell genes. Furthermore, the differential expression of core stem cell genes may explain the differences in pluripotency between embryonal carcinomas and seminomas."}
{"STANDARD_NAME":"KORKOLA_EMBRYONIC_CARCINOMA_VS_SEMINOMA_UP","SYSTEMATIC_NAME":"M7346","ORGANISM":"Homo sapiens","PMID":"16424014","AUTHORS":"Korkola JE,Houldsworth J,Chadalavada RS,Olshen AB,Dobrzynski D,Reuter VE,Bosl GJ,Chaganti RS","EXACT_SOURCE":"Table 5AS","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top 25 most highly expressed genes in embryonic carcinoma relative to seminoma tumors.","DESCRIPTION_FULL":"Adult male germ cell tumors (GCTs) comprise distinct groups: seminomas and nonseminomas, which include pluripotent embryonal carcinomas as well as other histologic subtypes exhibiting various stages of differentiation. Almost all GCTs show 12p gain, but the target genes have not been clearly defined. To identify 12p target genes, we examined Affymetrix (Santa Clara, CA) U133A+B microarray ( approximately 83% coverage of 12p genes) expression profiles of 17 seminomas, 84 nonseminoma GCTs, and 5 normal testis samples. Seventy-three genes on 12p were significantly overexpressed, including GLUT3 and REA (overexpressed in all GCTs) and CCND2 and FLJ22028 (overexpressed in all GCTs, except choriocarcinomas). We characterized a 200-kb gene cluster at 12p13.31 that exhibited coordinated overexpression in embryonal carcinomas and seminomas, which included the known stem cell genes NANOG, STELLA, and GDF3 and two previously uncharacterized genes. A search for other coordinately regulated genomic clusters of stem cell genes did not reveal any genomic regions similar to that at 12p13.31. Comparison of embryonal carcinoma with seminomas revealed relative overexpression of several stem cell-associated genes in embryonal carcinoma, including several core stemness genes (EBAF, TDGF1, and SOX2) and several downstream targets of WNT, NODAL, and FGF signaling (FGF4, NODAL, and ZFP42). Our results indicate that 12p gain is a functionally relevant change leading to activation of proliferation and reestablishment/maintenance of stem cell function through activation of key stem cell genes. Furthermore, the differential expression of core stem cell genes may explain the differences in pluripotency between embryonal carcinomas and seminomas."}
{"STANDARD_NAME":"KORKOLA_EMBRYONIC_CARCINOMA_VS_SEMINOMA_DN","SYSTEMATIC_NAME":"M15380","ORGANISM":"Homo sapiens","PMID":"16424014","AUTHORS":"Korkola JE,Houldsworth J,Chadalavada RS,Olshen AB,Dobrzynski D,Reuter VE,Bosl GJ,Chaganti RS","EXACT_SOURCE":"Table 5BS","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top 25 most highly expressed genes in seminoma relative to embryonic carcinoma tumors.","DESCRIPTION_FULL":"Adult male germ cell tumors (GCTs) comprise distinct groups: seminomas and nonseminomas, which include pluripotent embryonal carcinomas as well as other histologic subtypes exhibiting various stages of differentiation. Almost all GCTs show 12p gain, but the target genes have not been clearly defined. To identify 12p target genes, we examined Affymetrix (Santa Clara, CA) U133A+B microarray ( approximately 83% coverage of 12p genes) expression profiles of 17 seminomas, 84 nonseminoma GCTs, and 5 normal testis samples. Seventy-three genes on 12p were significantly overexpressed, including GLUT3 and REA (overexpressed in all GCTs) and CCND2 and FLJ22028 (overexpressed in all GCTs, except choriocarcinomas). We characterized a 200-kb gene cluster at 12p13.31 that exhibited coordinated overexpression in embryonal carcinomas and seminomas, which included the known stem cell genes NANOG, STELLA, and GDF3 and two previously uncharacterized genes. A search for other coordinately regulated genomic clusters of stem cell genes did not reveal any genomic regions similar to that at 12p13.31. Comparison of embryonal carcinoma with seminomas revealed relative overexpression of several stem cell-associated genes in embryonal carcinoma, including several core stemness genes (EBAF, TDGF1, and SOX2) and several downstream targets of WNT, NODAL, and FGF signaling (FGF4, NODAL, and ZFP42). Our results indicate that 12p gain is a functionally relevant change leading to activation of proliferation and reestablishment/maintenance of stem cell function through activation of key stem cell genes. Furthermore, the differential expression of core stem cell genes may explain the differences in pluripotency between embryonal carcinomas and seminomas."}
{"STANDARD_NAME":"BOYLAN_MULTIPLE_MYELOMA_PCA1_DN","SYSTEMATIC_NAME":"M1038","ORGANISM":"Mus musculus","PMID":"17483317","AUTHORS":"Boylan KL,Gosse MA,Staggs SE,Janz S,Grindle S,Kansas GS,Van Ness BG","EXACT_SOURCE":"Table 3S: Eigengene 1 Score < 0","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top down-regulated genes from principal component 1 (PCA1) which captures variation between normal plasma cells and tumors arising from aberrant expression of BCL2L1 and MYC [GeneID=598;4609].","DESCRIPTION_FULL":"Multiple myeloma is an incurable plasma cell malignancy for which existing animal models are limited. We have previously shown that the targeted expression of the transgenes c-Myc and Bcl-X(L) in murine plasma cells produces malignancy that displays features of human myeloma, such as localization of tumor cells to the bone marrow and lytic bone lesions. We have isolated and characterized in vitro cultures and adoptive transfers of tumors from Bcl-xl/Myc transgenic mice. Tumors have a plasmablastic morphology and variable expression of CD138, CD45, CD38, and CD19. Spectral karyotyping analysis of metaphase chromosomes from primary tumor cell cultures shows that the Bcl-xl/Myc tumors contain a variety of chromosomal abnormalities, including trisomies, translocations, and deletions. The most frequently aberrant chromosomes are 12 and 16. Three sites for recurring translocations were also identified on chromosomes 4D, 12F, and 16C. Gene expression profiling was used to identify differences in gene expression between tumor cells and normal plasma cells (NPC) and to cluster the tumors into two groups (tumor groups C and D), with distinct gene expression profiles. Four hundred and ninety-five genes were significantly different between both tumor groups and NPCs, whereas 124 genes were uniquely different from NPCs in tumor group C and 204 genes were uniquely different from NPCs in tumor group D. Similar to human myeloma, the cyclin D genes are differentially dysregulated in the mouse tumor groups. These data suggest the Bcl-xl/Myc tumors are similar to a subset of plasmablastic human myelomas and provide insight into the specific genes and pathways underlying the human disease."}
{"STANDARD_NAME":"BOYLAN_MULTIPLE_MYELOMA_PCA3_UP","SYSTEMATIC_NAME":"M18227","ORGANISM":"Mus musculus","PMID":"17483317","AUTHORS":"Boylan KL,Gosse MA,Staggs SE,Janz S,Grindle S,Kansas GS,Van Ness BG","EXACT_SOURCE":"Table 4S: Eigengene 3 Score > 0","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top up-regulated genes from principal component 3 (PCA3) which captures variation among different plasma cell tumors arising from overexpression of BCL2L1 and MYC [GeneID=598;4609].","DESCRIPTION_FULL":"Multiple myeloma is an incurable plasma cell malignancy for which existing animal models are limited. We have previously shown that the targeted expression of the transgenes c-Myc and Bcl-X(L) in murine plasma cells produces malignancy that displays features of human myeloma, such as localization of tumor cells to the bone marrow and lytic bone lesions. We have isolated and characterized in vitro cultures and adoptive transfers of tumors from Bcl-xl/Myc transgenic mice. Tumors have a plasmablastic morphology and variable expression of CD138, CD45, CD38, and CD19. Spectral karyotyping analysis of metaphase chromosomes from primary tumor cell cultures shows that the Bcl-xl/Myc tumors contain a variety of chromosomal abnormalities, including trisomies, translocations, and deletions. The most frequently aberrant chromosomes are 12 and 16. Three sites for recurring translocations were also identified on chromosomes 4D, 12F, and 16C. Gene expression profiling was used to identify differences in gene expression between tumor cells and normal plasma cells (NPC) and to cluster the tumors into two groups (tumor groups C and D), with distinct gene expression profiles. Four hundred and ninety-five genes were significantly different between both tumor groups and NPCs, whereas 124 genes were uniquely different from NPCs in tumor group C and 204 genes were uniquely different from NPCs in tumor group D. Similar to human myeloma, the cyclin D genes are differentially dysregulated in the mouse tumor groups. These data suggest the Bcl-xl/Myc tumors are similar to a subset of plasmablastic human myelomas and provide insight into the specific genes and pathways underlying the human disease."}
{"STANDARD_NAME":"BOYLAN_MULTIPLE_MYELOMA_PCA3_DN","SYSTEMATIC_NAME":"M9544","ORGANISM":"Mus musculus","PMID":"17483317","AUTHORS":"Boylan KL,Gosse MA,Staggs SE,Janz S,Grindle S,Kansas GS,Van Ness BG","EXACT_SOURCE":"Table 4S: Eigengene 3 Score < 0","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top down-regulated genes from principal component 3 (PCA3) which captures variation among different plasma cell tumors arising from overexpression of BCL2L1 and MYC [GeneID=598;4609].","DESCRIPTION_FULL":"Multiple myeloma is an incurable plasma cell malignancy for which existing animal models are limited. We have previously shown that the targeted expression of the transgenes c-Myc and Bcl-X(L) in murine plasma cells produces malignancy that displays features of human myeloma, such as localization of tumor cells to the bone marrow and lytic bone lesions. We have isolated and characterized in vitro cultures and adoptive transfers of tumors from Bcl-xl/Myc transgenic mice. Tumors have a plasmablastic morphology and variable expression of CD138, CD45, CD38, and CD19. Spectral karyotyping analysis of metaphase chromosomes from primary tumor cell cultures shows that the Bcl-xl/Myc tumors contain a variety of chromosomal abnormalities, including trisomies, translocations, and deletions. The most frequently aberrant chromosomes are 12 and 16. Three sites for recurring translocations were also identified on chromosomes 4D, 12F, and 16C. Gene expression profiling was used to identify differences in gene expression between tumor cells and normal plasma cells (NPC) and to cluster the tumors into two groups (tumor groups C and D), with distinct gene expression profiles. Four hundred and ninety-five genes were significantly different between both tumor groups and NPCs, whereas 124 genes were uniquely different from NPCs in tumor group C and 204 genes were uniquely different from NPCs in tumor group D. Similar to human myeloma, the cyclin D genes are differentially dysregulated in the mouse tumor groups. These data suggest the Bcl-xl/Myc tumors are similar to a subset of plasmablastic human myelomas and provide insight into the specific genes and pathways underlying the human disease."}
{"STANDARD_NAME":"HOSHIDA_LIVER_CANCER_SUBCLASS_S2","SYSTEMATIC_NAME":"M7995","ORGANISM":"Homo sapiens","PMID":"19723656","AUTHORS":"Hoshida Y,Nijman SM,Kobayashi M,Chan JA,Brunet JP,Chiang DY,Villanueva A,Newell P,Ikeda K,Hashimoto M,Watanabe G,Gabriel S,Friedman SL,Kumada H,Llovet JM,Golub TR","EXACT_SOURCE":"Table 3S: Subtype=S2","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes from 'subtype S2' signature of hepatocellular carcinoma (HCC): proliferation, MYC and AKT1 [GeneID=4609;207] activation.","DESCRIPTION_FULL":"Hepatocellular carcinoma (HCC) is a highly heterogeneous disease, and prior attempts to develop genomic-based classification for HCC have yielded highly divergent results, indicating difficulty in identifying unified molecular anatomy. We performed a meta-analysis of gene expression profiles in data sets from eight independent patient cohorts across the world. In addition, aiming to establish the real world applicability of a classification system, we profiled 118 formalin-fixed, paraffin-embedded tissues from an additional patient cohort. A total of 603 patients were analyzed, representing the major etiologies of HCC (hepatitis B and C) collected from Western and Eastern countries. We observed three robust HCC subclasses (termed S1, S2, and S3), each correlated with clinical parameters such as tumor size, extent of cellular differentiation, and serum alpha-fetoprotein levels. An analysis of the components of the signatures indicated that S1 reflected aberrant activation of the WNT signaling pathway, S2 was characterized by proliferation as well as MYC and AKT activation, and S3 was associated with hepatocyte differentiation. Functional studies indicated that the WNT pathway activation signature characteristic of S1 tumors was not simply the result of beta-catenin mutation but rather was the result of transforming growth factor-beta activation, thus representing a new mechanism of WNT pathway activation in HCC. These experiments establish the first consensus classification framework for HCC based on gene expression profiles and highlight the power of integrating multiple data sets to define a robust molecular taxonomy of the disease. [Cancer Res 2009;69(18):7385-92]."}
{"STANDARD_NAME":"PYEON_CANCER_HEAD_AND_NECK_VS_CERVICAL_DN","SYSTEMATIC_NAME":"M5126","ORGANISM":"Homo sapiens","PMID":"17510386","AUTHORS":"Pyeon D,Newton MA,Lambert PF,den Boon JA,Sengupta S,Marsit CJ,Woodworth CD,Connor JP,Haugen TH,Smith EM,Kelsey KT,Turek LP,Ahlquist P","GEOID":"GSE6791","EXACT_SOURCE":"Table 6S: t-statistic < -4","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated genes in head and neck cancer compared to cervical carcinoma samples.","DESCRIPTION_FULL":"Human papillomaviruses (HPV) are associated with nearly all cervical cancers, 20% to 30% of head and neck cancers (HNC), and other cancers. Because HNCs also arise in HPV-negative patients, this type of cancer provides unique opportunities to define similarities and differences of HPV-positive versus HPV-negative cancers arising in the same tissue. Here, we describe genome-wide expression profiling of 84 HNCs, cervical cancers, and site-matched normal epithelial samples in which we used laser capture microdissection to enrich samples for tumor-derived versus normal epithelial cells. This analysis revealed that HPV(+) HNCs and cervical cancers differed in their patterns of gene expression yet shared many changes compared with HPV(-) HNCs. Some of these shared changes were predicted, but many others were not. Notably, HPV(+) HNCs and cervical cancers were found to be up-regulated in their expression of a distinct and larger subset of cell cycle genes than that observed in HPV(-) HNC. Moreover, HPV(+) cancers overexpressed testis-specific genes that are normally expressed only in meiotic cells. Many, although not all, of the hallmark differences between HPV(+) HNC and HPV(-) HNC were a direct consequence of HPV and in particular the viral E6 and E7 oncogenes. This included a novel association of HPV oncogenes with testis-specific gene expression. These findings in primary human tumors provide novel biomarkers for early detection of HPV(+) and HPV(-) cancers, and emphasize the potential value of targeting E6 and E7 function, alone or combined with radiation and/or traditional chemotherapy, in the treatment of HPV(+) cancers."}
{"STANDARD_NAME":"CAIRO_HEPATOBLASTOMA_UP","SYSTEMATIC_NAME":"M14601","ORGANISM":"Homo sapiens","PMID":"19061838","AUTHORS":"Cairo S,Armengol C,Reyniès De A,Wei Y,Thomas E,Renard CA,Goga A,Balakrishnan A,Semeraro M,Gresh L,Pontoglio M,Strick-Marchand H,Levillayer F,Nouet Y,Rickman D,Gauthier F,Branchereau S,Brugières L,Laithier V,Bouvier R,Boman F,Basso G,Michiels JF,Hofman P,Arbez-Gindre F,Jouan H,Rousselet-Chapeau MC,Berrebi D,Marcellin L,Plenat F,Zachar D,Joubert M,Selves J,Pasquier D,Bioulac-Sage P,Grotzer M,Childs M,Fabre M,Buendia MA","GEOID":"E-MEXP-1852,E-MEXP-1853,E-MEXP-1851","EXACT_SOURCE":"Table 3S: Fold change HB/NL >= 2","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in hepatoblastoma samples compared to normal liver tissue.","DESCRIPTION_FULL":"Hepatoblastoma, the most common pediatric liver cancer, is tightly linked to excessive Wnt/beta-catenin signaling. Here, we used microarray analysis to identify two tumor subclasses resembling distinct phases of liver development and a discriminating 16-gene signature. beta-catenin activated different transcriptional programs in the two tumor types, with distinctive expression of hepatic stem/progenitor markers in immature tumors. This highly proliferating subclass was typified by gains of chromosomes 8q and 2p and upregulated Myc signaling. Myc-induced hepatoblastoma-like tumors in mice strikingly resembled the human immature subtype, and Myc downregulation in hepatoblastoma cells impaired tumorigenesis in vivo. Remarkably, the 16-gene signature discriminated invasive and metastatic hepatoblastomas and predicted prognosis with high accuracy."}
{"STANDARD_NAME":"CAIRO_HEPATOBLASTOMA_POOR_SURVIVAL","SYSTEMATIC_NAME":"M2650","ORGANISM":"Homo sapiens","PMID":"19061838","AUTHORS":"Cairo S,Armengol C,Reyniès De A,Wei Y,Thomas E,Renard CA,Goga A,Balakrishnan A,Semeraro M,Gresh L,Pontoglio M,Strick-Marchand H,Levillayer F,Nouet Y,Rickman D,Gauthier F,Branchereau S,Brugières L,Laithier V,Bouvier R,Boman F,Basso G,Michiels JF,Hofman P,Arbez-Gindre F,Jouan H,Rousselet-Chapeau MC,Berrebi D,Marcellin L,Plenat F,Zachar D,Joubert M,Selves J,Pasquier D,Bioulac-Sage P,Grotzer M,Childs M,Fabre M,Buendia MA","GEOID":"E-MEXP-1852,E-MEXP-1853,E-MEXP-1851","EXACT_SOURCE":"Table 10S","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes whose expression classifies hepatoblastoma tumors as belonging to either rC1 or rC2 subtypes and whose expression predicts poor survival.","DESCRIPTION_FULL":"Hepatoblastoma, the most common pediatric liver cancer, is tightly linked to excessive Wnt/beta-catenin signaling. Here, we used microarray analysis to identify two tumor subclasses resembling distinct phases of liver development and a discriminating 16-gene signature. beta-catenin activated different transcriptional programs in the two tumor types, with distinctive expression of hepatic stem/progenitor markers in immature tumors. This highly proliferating subclass was typified by gains of chromosomes 8q and 2p and upregulated Myc signaling. Myc-induced hepatoblastoma-like tumors in mice strikingly resembled the human immature subtype, and Myc downregulation in hepatoblastoma cells impaired tumorigenesis in vivo. Remarkably, the 16-gene signature discriminated invasive and metastatic hepatoblastomas and predicted prognosis with high accuracy."}
{"STANDARD_NAME":"GUTIERREZ_CHRONIC_LYMPHOCYTIC_LEUKEMIA_UP","SYSTEMATIC_NAME":"M885","ORGANISM":"Homo sapiens","PMID":"17252022","AUTHORS":"Gutiérrez NC,Ocio EM,Rivas Las de J,Maiso P,Delgado M,Fermiñán E,Arcos MJ,Sánchez ML,Hernández JM,Miguel San JF","GEOID":"GSE6691","EXACT_SOURCE":"Table 1: d-Value > 0","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes exclusively up-regulated in B lymphocytes from CLL (chronic lymphocytic leukemia) patients but with a similiar expression pattern in the normal cells and in the cells from WM (Waldenstroem's macroblobulinemia) patients.","DESCRIPTION_FULL":"The tumoral clone of Waldenström's macroglobulinemia (WM) shows a wide morphological heterogeneity, which ranges from B lymphocytes (BL) to plasma cells (PC). By means of genome-wide expression profiling we have been able to identify genes exclusively deregulated in BL and PC from WM, but with a similar expression pattern in their corresponding cell counterparts from chronic lymphocytic leukemia (CLL) and multiple myeloma (MM), as well as normal individuals. The differentially expressed genes have important functions in B-cell differentiation and oncogenesis. Thus, two of the genes downregulated in WM-BL were IL4R, which plays a relevant role in CLL B-cell survival, and BACH2, which participates in the development of class-switched PC. Interestingly, one of the upregulated genes in WM-BL was IL6. A set of four genes was able to discriminate clonal BL from WM and CLL: LEF1 (WNT/beta-catenin pathway), MARCKS, ATXN1 and FMOD. We also found deregulation of genes involved in plasma cell differentiation such as PAX5, which was overexpressed in WM-PC, and IRF4 and BLIMP1, which were underexpressed. In addition, three of the target genes activated by PAX5 - CD79, BLNK and SYK - were upregulated in WM-PC. In summary, these results indicate that both PC and BL from WM are genetically different from the MM and CLL cell counterpart."}
{"STANDARD_NAME":"GUTIERREZ_CHRONIC_LYMPHOCYTIC_LEUKEMIA_DN","SYSTEMATIC_NAME":"M19492","ORGANISM":"Homo sapiens","PMID":"17252022","AUTHORS":"Gutiérrez NC,Ocio EM,Rivas Las de J,Maiso P,Delgado M,Fermiñán E,Arcos MJ,Sánchez ML,Hernández JM,Miguel San JF","GEOID":"GSE6691","EXACT_SOURCE":"Table 1: d-Value < 0","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes exclusively down-regulated in B lymphocytes from CLL (chronic lymphocytic leukemia) patients but with a similiar expression pattern in the normal cells and in the cells from WM (Waldenstroem's macroblobulinemia) patients.","DESCRIPTION_FULL":"The tumoral clone of Waldenström's macroglobulinemia (WM) shows a wide morphological heterogeneity, which ranges from B lymphocytes (BL) to plasma cells (PC). By means of genome-wide expression profiling we have been able to identify genes exclusively deregulated in BL and PC from WM, but with a similar expression pattern in their corresponding cell counterparts from chronic lymphocytic leukemia (CLL) and multiple myeloma (MM), as well as normal individuals. The differentially expressed genes have important functions in B-cell differentiation and oncogenesis. Thus, two of the genes downregulated in WM-BL were IL4R, which plays a relevant role in CLL B-cell survival, and BACH2, which participates in the development of class-switched PC. Interestingly, one of the upregulated genes in WM-BL was IL6. A set of four genes was able to discriminate clonal BL from WM and CLL: LEF1 (WNT/beta-catenin pathway), MARCKS, ATXN1 and FMOD. We also found deregulation of genes involved in plasma cell differentiation such as PAX5, which was overexpressed in WM-PC, and IRF4 and BLIMP1, which were underexpressed. In addition, three of the target genes activated by PAX5 - CD79, BLNK and SYK - were upregulated in WM-PC. In summary, these results indicate that both PC and BL from WM are genetically different from the MM and CLL cell counterpart."}
{"STANDARD_NAME":"GUTIERREZ_WALDENSTROEMS_MACROGLOBULINEMIA_1_UP","SYSTEMATIC_NAME":"M13976","ORGANISM":"Homo sapiens","PMID":"17252022","AUTHORS":"Gutiérrez NC,Ocio EM,Rivas Las de J,Maiso P,Delgado M,Fermiñán E,Arcos MJ,Sánchez ML,Hernández JM,Miguel San JF","GEOID":"GSE6691","EXACT_SOURCE":"Table 2: d-Value > 0","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes exclusively up-regulated in B lymphocytes from WM (Waldenstroem's macroblobulinemia) patients but with a similiar expression pattern in the normal cells and in the cells from CLL (chronic lymphocytic leukemia) patients.","DESCRIPTION_FULL":"The tumoral clone of Waldenström's macroglobulinemia (WM) shows a wide morphological heterogeneity, which ranges from B lymphocytes (BL) to plasma cells (PC). By means of genome-wide expression profiling we have been able to identify genes exclusively deregulated in BL and PC from WM, but with a similar expression pattern in their corresponding cell counterparts from chronic lymphocytic leukemia (CLL) and multiple myeloma (MM), as well as normal individuals. The differentially expressed genes have important functions in B-cell differentiation and oncogenesis. Thus, two of the genes downregulated in WM-BL were IL4R, which plays a relevant role in CLL B-cell survival, and BACH2, which participates in the development of class-switched PC. Interestingly, one of the upregulated genes in WM-BL was IL6. A set of four genes was able to discriminate clonal BL from WM and CLL: LEF1 (WNT/beta-catenin pathway), MARCKS, ATXN1 and FMOD. We also found deregulation of genes involved in plasma cell differentiation such as PAX5, which was overexpressed in WM-PC, and IRF4 and BLIMP1, which were underexpressed. In addition, three of the target genes activated by PAX5 - CD79, BLNK and SYK - were upregulated in WM-PC. In summary, these results indicate that both PC and BL from WM are genetically different from the MM and CLL cell counterpart."}
{"STANDARD_NAME":"GUTIERREZ_WALDENSTROEMS_MACROGLOBULINEMIA_1_DN","SYSTEMATIC_NAME":"M11733","ORGANISM":"Homo sapiens","PMID":"17252022","AUTHORS":"Gutiérrez NC,Ocio EM,Rivas Las de J,Maiso P,Delgado M,Fermiñán E,Arcos MJ,Sánchez ML,Hernández JM,Miguel San JF","GEOID":"GSE6691","EXACT_SOURCE":"Table 2: d-Value < 0","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes exclusively down-regulated in B lymphocytes from WM (Waldenstroem's macroblobulinemia) patients but with a similiar expression pattern in the normal cells and in the cells from CLL (chronic lymphocytic leukemia) patients.","DESCRIPTION_FULL":"The tumoral clone of Waldenström's macroglobulinemia (WM) shows a wide morphological heterogeneity, which ranges from B lymphocytes (BL) to plasma cells (PC). By means of genome-wide expression profiling we have been able to identify genes exclusively deregulated in BL and PC from WM, but with a similar expression pattern in their corresponding cell counterparts from chronic lymphocytic leukemia (CLL) and multiple myeloma (MM), as well as normal individuals. The differentially expressed genes have important functions in B-cell differentiation and oncogenesis. Thus, two of the genes downregulated in WM-BL were IL4R, which plays a relevant role in CLL B-cell survival, and BACH2, which participates in the development of class-switched PC. Interestingly, one of the upregulated genes in WM-BL was IL6. A set of four genes was able to discriminate clonal BL from WM and CLL: LEF1 (WNT/beta-catenin pathway), MARCKS, ATXN1 and FMOD. We also found deregulation of genes involved in plasma cell differentiation such as PAX5, which was overexpressed in WM-PC, and IRF4 and BLIMP1, which were underexpressed. In addition, three of the target genes activated by PAX5 - CD79, BLNK and SYK - were upregulated in WM-PC. In summary, these results indicate that both PC and BL from WM are genetically different from the MM and CLL cell counterpart."}
{"STANDARD_NAME":"GUTIERREZ_MULTIPLE_MYELOMA_UP","SYSTEMATIC_NAME":"M19443","ORGANISM":"Homo sapiens","PMID":"17252022","AUTHORS":"Gutiérrez NC,Ocio EM,Rivas Las de J,Maiso P,Delgado M,Fermiñán E,Arcos MJ,Sánchez ML,Hernández JM,Miguel San JF","GEOID":"GSE6691","EXACT_SOURCE":"Table 3: d-Value < 0","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes exclusively up-regulated in plasma cells from MM (multiple myeloma) patients but with a similiar expression pattern in the normal cells and in the cells from WM (Waldenstroem's macroblobulinemia) patients.","DESCRIPTION_FULL":"The tumoral clone of Waldenström's macroglobulinemia (WM) shows a wide morphological heterogeneity, which ranges from B lymphocytes (BL) to plasma cells (PC). By means of genome-wide expression profiling we have been able to identify genes exclusively deregulated in BL and PC from WM, but with a similar expression pattern in their corresponding cell counterparts from chronic lymphocytic leukemia (CLL) and multiple myeloma (MM), as well as normal individuals. The differentially expressed genes have important functions in B-cell differentiation and oncogenesis. Thus, two of the genes downregulated in WM-BL were IL4R, which plays a relevant role in CLL B-cell survival, and BACH2, which participates in the development of class-switched PC. Interestingly, one of the upregulated genes in WM-BL was IL6. A set of four genes was able to discriminate clonal BL from WM and CLL: LEF1 (WNT/beta-catenin pathway), MARCKS, ATXN1 and FMOD. We also found deregulation of genes involved in plasma cell differentiation such as PAX5, which was overexpressed in WM-PC, and IRF4 and BLIMP1, which were underexpressed. In addition, three of the target genes activated by PAX5 - CD79, BLNK and SYK - were upregulated in WM-PC. In summary, these results indicate that both PC and BL from WM are genetically different from the MM and CLL cell counterpart."}
{"STANDARD_NAME":"GUTIERREZ_WALDENSTROEMS_MACROGLOBULINEMIA_2","SYSTEMATIC_NAME":"M17096","ORGANISM":"Homo sapiens","PMID":"17252022","AUTHORS":"Gutiérrez NC,Ocio EM,Rivas Las de J,Maiso P,Delgado M,Fermiñán E,Arcos MJ,Sánchez ML,Hernández JM,Miguel San JF","GEOID":"GSE6691","EXACT_SOURCE":"Table 4","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes exclusively up-regulated in B lymphocytes from WM (Waldenstroem's macroglobulinemia) but with a similar expression profile in MM (macroglobulinemia) and normal cells.","DESCRIPTION_FULL":"The tumoral clone of Waldenström's macroglobulinemia (WM) shows a wide morphological heterogeneity, which ranges from B lymphocytes (BL) to plasma cells (PC). By means of genome-wide expression profiling we have been able to identify genes exclusively deregulated in BL and PC from WM, but with a similar expression pattern in their corresponding cell counterparts from chronic lymphocytic leukemia (CLL) and multiple myeloma (MM), as well as normal individuals. The differentially expressed genes have important functions in B-cell differentiation and oncogenesis. Thus, two of the genes downregulated in WM-BL were IL4R, which plays a relevant role in CLL B-cell survival, and BACH2, which participates in the development of class-switched PC. Interestingly, one of the upregulated genes in WM-BL was IL6. A set of four genes was able to discriminate clonal BL from WM and CLL: LEF1 (WNT/beta-catenin pathway), MARCKS, ATXN1 and FMOD. We also found deregulation of genes involved in plasma cell differentiation such as PAX5, which was overexpressed in WM-PC, and IRF4 and BLIMP1, which were underexpressed. In addition, three of the target genes activated by PAX5 - CD79, BLNK and SYK - were upregulated in WM-PC. In summary, these results indicate that both PC and BL from WM are genetically different from the MM and CLL cell counterpart."}
{"STANDARD_NAME":"HAHTOLA_CTCL_CUTANEOUS","SYSTEMATIC_NAME":"M2804","ORGANISM":"Homo sapiens","PMID":"16914566","AUTHORS":"Hahtola S,Tuomela S,Elo L,Häkkinen T,Karenko L,Nedoszytko B,Heikkilä H,Saarialho-Kere U,Roszkiewicz J,Aittokallio T,Lahesmaa R,Ranki A","EXACT_SOURCE":"Table 1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes showing similar expression profiles in all subtypes of cutaneous T cell lymphoma (CTCL).","DESCRIPTION_FULL":"PURPOSE: Increased production of Th2 cytokines characterizes Sezary syndrome, the leukemic form of cutaneous T-cell lymphomas (CTCL). To identify the molecular background and to study whether shared by the most common CTCL subtype, mycosis fungoides, we analyzed the gene expression profiles in both subtypes. EXPERIMENTAL DESIGN: Freshly isolated cells from 30 samples, representing skin, blood, and enriched CD4(+) cell populations of mycosis fungoides and Sezary syndrome, were analyzed with Affymetrix (Santa Clara, CA) oligonucleotide microarrays, quantitative PCR, or immunohistochemistry. The gene expression profiles were combined with findings of comparative genomic hybridization of the same samples to identify chromosomal changes affecting the aberrant gene expression. RESULTS: We identified a set of Th1-specific genes [e.g., TBX21 (T-bet), NKG7, and SCYA5 (RANTES)] to be down-regulated in Sezary syndrome as well as in a proportion of mycosis fungoides samples. In both Sezary syndrome and mycosis fungoides blood samples, the S100P and LIR9 gene expression was up-regulated. In lesional skin, IL7R and CD52 were up-regulated. Integration of comparative genomic hybridization and transcriptomic data identified chromosome arms 1q, 3p, 3q, 4q, 12q, 16p, and 16q as likely targets for new CTCL-associated gene aberrations. CONCLUSIONS: Our findings revealed several new genes involved in CTCL pathogenesis and potential therapeutic targets. Down-regulation of a set of genes involved in Th1 polarization, including the major Th1-polarizing factor, TBX21, was for the first time associated with CTCL. In addition, a plausible explanation for the proliferative response of CTCL cells to locally produced interleukin-7 was revealed."}
{"STANDARD_NAME":"HAHTOLA_CTCL_PATHOGENESIS","SYSTEMATIC_NAME":"M1416","ORGANISM":"Homo sapiens","PMID":"16914566","AUTHORS":"Hahtola S,Tuomela S,Elo L,Häkkinen T,Karenko L,Nedoszytko B,Heikkilä H,Saarialho-Kere U,Roszkiewicz J,Aittokallio T,Lahesmaa R,Ranki A","EXACT_SOURCE":"Table 2","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Differentially expressed genes relevant to pathogenesis of cutaneous T cell lymphoma (CTCL).","DESCRIPTION_FULL":"PURPOSE: Increased production of Th2 cytokines characterizes Sezary syndrome, the leukemic form of cutaneous T-cell lymphomas (CTCL). To identify the molecular background and to study whether shared by the most common CTCL subtype, mycosis fungoides, we analyzed the gene expression profiles in both subtypes. EXPERIMENTAL DESIGN: Freshly isolated cells from 30 samples, representing skin, blood, and enriched CD4(+) cell populations of mycosis fungoides and Sezary syndrome, were analyzed with Affymetrix (Santa Clara, CA) oligonucleotide microarrays, quantitative PCR, or immunohistochemistry. The gene expression profiles were combined with findings of comparative genomic hybridization of the same samples to identify chromosomal changes affecting the aberrant gene expression. RESULTS: We identified a set of Th1-specific genes [e.g., TBX21 (T-bet), NKG7, and SCYA5 (RANTES)] to be down-regulated in Sezary syndrome as well as in a proportion of mycosis fungoides samples. In both Sezary syndrome and mycosis fungoides blood samples, the S100P and LIR9 gene expression was up-regulated. In lesional skin, IL7R and CD52 were up-regulated. Integration of comparative genomic hybridization and transcriptomic data identified chromosome arms 1q, 3p, 3q, 4q, 12q, 16p, and 16q as likely targets for new CTCL-associated gene aberrations. CONCLUSIONS: Our findings revealed several new genes involved in CTCL pathogenesis and potential therapeutic targets. Down-regulation of a set of genes involved in Th1 polarization, including the major Th1-polarizing factor, TBX21, was for the first time associated with CTCL. In addition, a plausible explanation for the proliferative response of CTCL cells to locally produced interleukin-7 was revealed."}
{"STANDARD_NAME":"KYNG_WERNER_SYNDROM_AND_NORMAL_AGING_UP","SYSTEMATIC_NAME":"M1992","ORGANISM":"Homo sapiens","PMID":"14527998","AUTHORS":"Kyng KJ,May A,Kølvraa S,Bohr VA","EXACT_SOURCE":"Table 7S: Normal Old > 0 & WS > 0 & |Normal Old - WS| < 0.5","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated similarly in primary fibroblast cultures from Werner syndrom patients and normal old donors compared to those from normal young donors.","DESCRIPTION_FULL":"Werner syndrome (WS) is a premature aging disorder, displaying defects in DNA replication, recombination, repair, and transcription. It has been hypothesized that several WS phenotypes are secondary consequences of aberrant gene expression and that a transcription defect may be crucial to the development of the syndrome. We used cDNA microarrays to characterize the expression of 6,912 genes and ESTs across a panel of 15 primary human fibroblast cell lines derived from young donors, old donors, and WS patients. Of the analyzed genes, 6.3% displayed significant differences in expression when either WS or old donor cells were compared with young donor cells. This result demonstrates that the WS transcription defect is specific to certain genes. Transcription alterations in WS were strikingly similar to those in normal aging: 91% of annotated genes displayed similar expression changes in WS and in normal aging, 3% were unique to WS, and 6% were unique to normal aging. We propose that a defect in the transcription of the genes as identified in this study could produce many of the complex clinical features of WS. The remarkable similarity between WS and normal aging suggests that WS causes the acceleration of a normal aging mechanism. This finding supports the use of WS as an aging model and implies that the transcription alterations common to WS and normal aging represent general events in the aging process."}
{"STANDARD_NAME":"KYNG_WERNER_SYNDROM_AND_NORMAL_AGING_DN","SYSTEMATIC_NAME":"M1993","ORGANISM":"Homo sapiens","PMID":"14527998","AUTHORS":"Kyng KJ,May A,Kølvraa S,Bohr VA","EXACT_SOURCE":"Table 7S: Normal old < 0 & WS < 0 & |Normal Old - WS| < 0.5","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated similarly in primary fibroblast cultures from Werner syndrom patients and normal old donors compared to those from normal young donors.","DESCRIPTION_FULL":"Werner syndrome (WS) is a premature aging disorder, displaying defects in DNA replication, recombination, repair, and transcription. It has been hypothesized that several WS phenotypes are secondary consequences of aberrant gene expression and that a transcription defect may be crucial to the development of the syndrome. We used cDNA microarrays to characterize the expression of 6,912 genes and ESTs across a panel of 15 primary human fibroblast cell lines derived from young donors, old donors, and WS patients. Of the analyzed genes, 6.3% displayed significant differences in expression when either WS or old donor cells were compared with young donor cells. This result demonstrates that the WS transcription defect is specific to certain genes. Transcription alterations in WS were strikingly similar to those in normal aging: 91% of annotated genes displayed similar expression changes in WS and in normal aging, 3% were unique to WS, and 6% were unique to normal aging. We propose that a defect in the transcription of the genes as identified in this study could produce many of the complex clinical features of WS. The remarkable similarity between WS and normal aging suggests that WS causes the acceleration of a normal aging mechanism. This finding supports the use of WS as an aging model and implies that the transcription alterations common to WS and normal aging represent general events in the aging process."}
{"STANDARD_NAME":"KYNG_NORMAL_AGING_UP","SYSTEMATIC_NAME":"M1994","ORGANISM":"Homo sapiens","PMID":"14527998","AUTHORS":"Kyng KJ,May A,Kølvraa S,Bohr VA","EXACT_SOURCE":"Table 7S: Normal Old > 0 & |Normal Old - WS| >= 0.5","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes distinctly up-regulated in primary fibroblast cultures from normal old donors compared to those from normal young donors.","DESCRIPTION_FULL":"Werner syndrome (WS) is a premature aging disorder, displaying defects in DNA replication, recombination, repair, and transcription. It has been hypothesized that several WS phenotypes are secondary consequences of aberrant gene expression and that a transcription defect may be crucial to the development of the syndrome. We used cDNA microarrays to characterize the expression of 6,912 genes and ESTs across a panel of 15 primary human fibroblast cell lines derived from young donors, old donors, and WS patients. Of the analyzed genes, 6.3% displayed significant differences in expression when either WS or old donor cells were compared with young donor cells. This result demonstrates that the WS transcription defect is specific to certain genes. Transcription alterations in WS were strikingly similar to those in normal aging: 91% of annotated genes displayed similar expression changes in WS and in normal aging, 3% were unique to WS, and 6% were unique to normal aging. We propose that a defect in the transcription of the genes as identified in this study could produce many of the complex clinical features of WS. The remarkable similarity between WS and normal aging suggests that WS causes the acceleration of a normal aging mechanism. This finding supports the use of WS as an aging model and implies that the transcription alterations common to WS and normal aging represent general events in the aging process."}
{"STANDARD_NAME":"KYNG_NORMAL_AGING_DN","SYSTEMATIC_NAME":"M1995","ORGANISM":"Homo sapiens","PMID":"14527998","AUTHORS":"Kyng KJ,May A,Kølvraa S,Bohr VA","EXACT_SOURCE":"Table 7S: Normal Old < 0 & |Normal Old -WS| >= 0.5","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes distinctly down-regulated in primary fibroblast cultures from normal old donors compared to those from normal young donors.","DESCRIPTION_FULL":"Werner syndrome (WS) is a premature aging disorder, displaying defects in DNA replication, recombination, repair, and transcription. It has been hypothesized that several WS phenotypes are secondary consequences of aberrant gene expression and that a transcription defect may be crucial to the development of the syndrome. We used cDNA microarrays to characterize the expression of 6,912 genes and ESTs across a panel of 15 primary human fibroblast cell lines derived from young donors, old donors, and WS patients. Of the analyzed genes, 6.3% displayed significant differences in expression when either WS or old donor cells were compared with young donor cells. This result demonstrates that the WS transcription defect is specific to certain genes. Transcription alterations in WS were strikingly similar to those in normal aging: 91% of annotated genes displayed similar expression changes in WS and in normal aging, 3% were unique to WS, and 6% were unique to normal aging. We propose that a defect in the transcription of the genes as identified in this study could produce many of the complex clinical features of WS. The remarkable similarity between WS and normal aging suggests that WS causes the acceleration of a normal aging mechanism. This finding supports the use of WS as an aging model and implies that the transcription alterations common to WS and normal aging represent general events in the aging process."}
{"STANDARD_NAME":"KYNG_WERNER_SYNDROM_UP","SYSTEMATIC_NAME":"M1996","ORGANISM":"Homo sapiens","PMID":"14527998","AUTHORS":"Kyng KJ,May A,Kølvraa S,Bohr VA","EXACT_SOURCE":"Table 7S: WS > 0 & |Normal Old - WS| >= 0.5","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes distinctly up-regulated in primary fibroblast cultures from Werner syndrom patients compared to those from normal young donors.","DESCRIPTION_FULL":"Werner syndrome (WS) is a premature aging disorder, displaying defects in DNA replication, recombination, repair, and transcription. It has been hypothesized that several WS phenotypes are secondary consequences of aberrant gene expression and that a transcription defect may be crucial to the development of the syndrome. We used cDNA microarrays to characterize the expression of 6,912 genes and ESTs across a panel of 15 primary human fibroblast cell lines derived from young donors, old donors, and WS patients. Of the analyzed genes, 6.3% displayed significant differences in expression when either WS or old donor cells were compared with young donor cells. This result demonstrates that the WS transcription defect is specific to certain genes. Transcription alterations in WS were strikingly similar to those in normal aging: 91% of annotated genes displayed similar expression changes in WS and in normal aging, 3% were unique to WS, and 6% were unique to normal aging. We propose that a defect in the transcription of the genes as identified in this study could produce many of the complex clinical features of WS. The remarkable similarity between WS and normal aging suggests that WS causes the acceleration of a normal aging mechanism. This finding supports the use of WS as an aging model and implies that the transcription alterations common to WS and normal aging represent general events in the aging process."}
{"STANDARD_NAME":"KYNG_WERNER_SYNDROM_DN","SYSTEMATIC_NAME":"M1997","ORGANISM":"Homo sapiens","PMID":"14527998","AUTHORS":"Kyng KJ,May A,Kølvraa S,Bohr VA","EXACT_SOURCE":"Table 7S: WS > 0 & |Normal Old - WS| >= 0.5","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes distinctly down-regulated in primary fibroblast cultures from Werner syndrom patients compared to those from normal young donors.","DESCRIPTION_FULL":"Werner syndrome (WS) is a premature aging disorder, displaying defects in DNA replication, recombination, repair, and transcription. It has been hypothesized that several WS phenotypes are secondary consequences of aberrant gene expression and that a transcription defect may be crucial to the development of the syndrome. We used cDNA microarrays to characterize the expression of 6,912 genes and ESTs across a panel of 15 primary human fibroblast cell lines derived from young donors, old donors, and WS patients. Of the analyzed genes, 6.3% displayed significant differences in expression when either WS or old donor cells were compared with young donor cells. This result demonstrates that the WS transcription defect is specific to certain genes. Transcription alterations in WS were strikingly similar to those in normal aging: 91% of annotated genes displayed similar expression changes in WS and in normal aging, 3% were unique to WS, and 6% were unique to normal aging. We propose that a defect in the transcription of the genes as identified in this study could produce many of the complex clinical features of WS. The remarkable similarity between WS and normal aging suggests that WS causes the acceleration of a normal aging mechanism. This finding supports the use of WS as an aging model and implies that the transcription alterations common to WS and normal aging represent general events in the aging process."}
{"STANDARD_NAME":"CHIARETTI_T_ALL_REFRACTORY_TO_THERAPY","SYSTEMATIC_NAME":"M10778","ORGANISM":"Homo sapiens","PMID":"14684422","AUTHORS":"Chiaretti S,Li X,Gentleman R,Vitale A,Vignetti M,Mandelli F,Ritz J,Foa R","EXACT_SOURCE":"Fig. 2","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in T cell acute lymphocytic leukemia (T-ALL) patients refractory to chemotherapy treatment.","DESCRIPTION_FULL":"Gene expression profiles were examined in 33 adult patients with T-cell acute lymphocytic leukemia (T-ALL). Nonspecific filtering criteria identified 313 genes differentially expressed in the leukemic cells. Hierarchical clustering of samples identified 2 groups that reflected the degree of T-cell differentiation but was not associated with clinical outcome. Comparison between refractory patients and those who responded to induction chemotherapy identified a single gene, interleukin 8 (IL-8), that was highly expressed in refractory T-ALL cells and a set of 30 genes that was highly expressed in leukemic cells from patients who achieved complete remission. We next identified 19 genes that were differentially expressed in T-ALL cells from patients who either had a relapse or remained in continuous complete remission. A model based on the expression of 3 of these genes was predictive of duration of remission. The 3-gene model was validated on a further set of T-ALL samples from 18 additional patients treated on the same clinical protocol. This study demonstrates that gene expression profiling can identify a limited number of genes that are predictive of response to induction therapy and remission duration in adult patients with T-ALL."}
{"STANDARD_NAME":"BYSTRYKH_HEMATOPOIESIS_STEM_CELL_IL3RA","SYSTEMATIC_NAME":"M13013","ORGANISM":"Mus musculus","PMID":"15711547","AUTHORS":"Bystrykh L,Weersing E,Dontje B,Sutton S,Pletcher MT,Wiltshire T,Su AI,Vellenga E,Wang J,Manly KF,Lu L,Chesler EJ,Alberts R,Jansen RC,Williams RW,Cooke MP,de Haan G","GEOID":"GSE2031","EXACT_SOURCE":"Table 3: Il3ra","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes whose expression is coregulated with that of IL3RA [GeneID=3563] in hematopoietic stem cells (HSC).","DESCRIPTION_FULL":"We combined large-scale mRNA expression analysis and gene mapping to identify genes and loci that control hematopoietic stem cell (HSC) function. We measured mRNA expression levels in purified HSCs isolated from a panel of densely genotyped recombinant inbred mouse strains. We mapped quantitative trait loci (QTLs) associated with variation in expression of thousands of transcripts. By comparing the physical transcript position with the location of the controlling QTL, we identified polymorphic cis-acting stem cell genes. We also identified multiple trans-acting control loci that modify expression of large numbers of genes. These groups of coregulated transcripts identify pathways that specify variation in stem cells. We illustrate this concept with the identification of candidate genes involved with HSC turnover. We compared expression QTLs in HSCs and brain from the same mice and identified both shared and tissue-specific QTLs. Our data are accessible through WebQTL, a web-based interface that allows custom genetic linkage analysis and identification of coregulated transcripts."}
{"STANDARD_NAME":"BYSTRYKH_HEMATOPOIESIS_STEM_CELL_SCP2_QTL_TRANS","SYSTEMATIC_NAME":"M1998","ORGANISM":"Mus musculus","PMID":"15711547","AUTHORS":"Bystrykh L,Weersing E,Dontje B,Sutton S,Pletcher MT,Wiltshire T,Su AI,Vellenga E,Wang J,Manly KF,Lu L,Chesler EJ,Alberts R,Jansen RC,Williams RW,Cooke MP,de Haan G","GEOID":"GSE2031","EXACT_SOURCE":"Table 4","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes trans-regulated by the hematopoietic stem cell (HSC) proliferation QTL (quantitative trait locus) Scp2.","DESCRIPTION_FULL":"We combined large-scale mRNA expression analysis and gene mapping to identify genes and loci that control hematopoietic stem cell (HSC) function. We measured mRNA expression levels in purified HSCs isolated from a panel of densely genotyped recombinant inbred mouse strains. We mapped quantitative trait loci (QTLs) associated with variation in expression of thousands of transcripts. By comparing the physical transcript position with the location of the controlling QTL, we identified polymorphic cis-acting stem cell genes. We also identified multiple trans-acting control loci that modify expression of large numbers of genes. These groups of coregulated transcripts identify pathways that specify variation in stem cells. We illustrate this concept with the identification of candidate genes involved with HSC turnover. We compared expression QTLs in HSCs and brain from the same mice and identified both shared and tissue-specific QTLs. Our data are accessible through WebQTL, a web-based interface that allows custom genetic linkage analysis and identification of coregulated transcripts."}
{"STANDARD_NAME":"ZHAN_MULTIPLE_MYELOMA_CD1_DN","SYSTEMATIC_NAME":"M16530","ORGANISM":"Homo sapiens","PMID":"16728703","AUTHORS":"Zhan F,Huang Y,Colla S,Stewart JP,Hanamura I,Gupta S,Epstein J,Yaccoby S,Sawyer J,Burington B,Anaissie E,Hollmig K,Pineda-Roman M,Tricot G,van Rhee F,Walker R,Zangari M,Crowley J,Barlogie B,Shaughnessy JD Jr","GEOID":"GSE2658","EXACT_SOURCE":"Table 3S: Subgroup = CD-1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top 50 down-regulated genes in cluster CD-1 of multiple myeloma samples with the characteristic expression spike of CCND1 [GeneID=595].","DESCRIPTION_FULL":"To better define the molecular basis of multiple myeloma (MM), we performed unsupervised hierarchic clustering of mRNA expression profiles in CD138-enriched plasma cells from 414 newly diagnosed patients who went on to receive high-dose therapy and tandem stem cell transplants. Seven disease subtypes were validated that were strongly influenced by known genetic lesions, such as c-MAF- and MAFB-, CCND1- and CCND3-, and MMSET-activating translocations and hyperdiploidy. Indicative of the deregulation of common pathways by gene orthologs, common gene signatures were observed in cases with c-MAF and MAFB activation and CCND1 and CCND3 activation, the latter consisting of 2 subgroups, one characterized by expression of the early B-cell markers CD20 and PAX5. A low incidence of focal bone disease distinguished one and increased expression of proliferation-associated genes of another novel subgroup. Comprising varying fractions of each of the other 6 subgroups, the proliferation subgroup dominated at relapse, suggesting that this signature is linked to disease progression. Proliferation and MMSET-spike groups were characterized by significant overexpression of genes mapping to chromosome 1q, and both exhibited a poor prognosis relative to the other groups. A subset of cases with a predominating myeloid gene expression signature, excluded from the profiling analyses, had more favorable baseline characteristics and superior prognosis to those lacking this signature."}
{"STANDARD_NAME":"ZHAN_MULTIPLE_MYELOMA_CD2_DN","SYSTEMATIC_NAME":"M17523","ORGANISM":"Homo sapiens","PMID":"16728703","AUTHORS":"Zhan F,Huang Y,Colla S,Stewart JP,Hanamura I,Gupta S,Epstein J,Yaccoby S,Sawyer J,Burington B,Anaissie E,Hollmig K,Pineda-Roman M,Tricot G,van Rhee F,Walker R,Zangari M,Crowley J,Barlogie B,Shaughnessy JD Jr","GEOID":"GSE2658","EXACT_SOURCE":"Table 3S: Subgroup = CD-2","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top 50 down-regulated genes in cluster CD-2 of multiple myeloma samples with the charachteristic expression spike of CCND3 [GeneID=896].","DESCRIPTION_FULL":"To better define the molecular basis of multiple myeloma (MM), we performed unsupervised hierarchic clustering of mRNA expression profiles in CD138-enriched plasma cells from 414 newly diagnosed patients who went on to receive high-dose therapy and tandem stem cell transplants. Seven disease subtypes were validated that were strongly influenced by known genetic lesions, such as c-MAF- and MAFB-, CCND1- and CCND3-, and MMSET-activating translocations and hyperdiploidy. Indicative of the deregulation of common pathways by gene orthologs, common gene signatures were observed in cases with c-MAF and MAFB activation and CCND1 and CCND3 activation, the latter consisting of 2 subgroups, one characterized by expression of the early B-cell markers CD20 and PAX5. A low incidence of focal bone disease distinguished one and increased expression of proliferation-associated genes of another novel subgroup. Comprising varying fractions of each of the other 6 subgroups, the proliferation subgroup dominated at relapse, suggesting that this signature is linked to disease progression. Proliferation and MMSET-spike groups were characterized by significant overexpression of genes mapping to chromosome 1q, and both exhibited a poor prognosis relative to the other groups. A subset of cases with a predominating myeloid gene expression signature, excluded from the profiling analyses, had more favorable baseline characteristics and superior prognosis to those lacking this signature."}
{"STANDARD_NAME":"ZHAN_MULTIPLE_MYELOMA_HP_DN","SYSTEMATIC_NAME":"M4697","ORGANISM":"Homo sapiens","PMID":"16728703","AUTHORS":"Zhan F,Huang Y,Colla S,Stewart JP,Hanamura I,Gupta S,Epstein J,Yaccoby S,Sawyer J,Burington B,Anaissie E,Hollmig K,Pineda-Roman M,Tricot G,van Rhee F,Walker R,Zangari M,Crowley J,Barlogie B,Shaughnessy JD Jr","GEOID":"GSE2658","EXACT_SOURCE":"Table 3S: Subgroup = HP","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top 50 down-regulated genes in cluster HP of multiple myeloma samples characterized by a hyperploid signature.","DESCRIPTION_FULL":"To better define the molecular basis of multiple myeloma (MM), we performed unsupervised hierarchic clustering of mRNA expression profiles in CD138-enriched plasma cells from 414 newly diagnosed patients who went on to receive high-dose therapy and tandem stem cell transplants. Seven disease subtypes were validated that were strongly influenced by known genetic lesions, such as c-MAF- and MAFB-, CCND1- and CCND3-, and MMSET-activating translocations and hyperdiploidy. Indicative of the deregulation of common pathways by gene orthologs, common gene signatures were observed in cases with c-MAF and MAFB activation and CCND1 and CCND3 activation, the latter consisting of 2 subgroups, one characterized by expression of the early B-cell markers CD20 and PAX5. A low incidence of focal bone disease distinguished one and increased expression of proliferation-associated genes of another novel subgroup. Comprising varying fractions of each of the other 6 subgroups, the proliferation subgroup dominated at relapse, suggesting that this signature is linked to disease progression. Proliferation and MMSET-spike groups were characterized by significant overexpression of genes mapping to chromosome 1q, and both exhibited a poor prognosis relative to the other groups. A subset of cases with a predominating myeloid gene expression signature, excluded from the profiling analyses, had more favorable baseline characteristics and superior prognosis to those lacking this signature."}
{"STANDARD_NAME":"ZHAN_MULTIPLE_MYELOMA_MF_DN","SYSTEMATIC_NAME":"M513","ORGANISM":"Homo sapiens","PMID":"16728703","AUTHORS":"Zhan F,Huang Y,Colla S,Stewart JP,Hanamura I,Gupta S,Epstein J,Yaccoby S,Sawyer J,Burington B,Anaissie E,Hollmig K,Pineda-Roman M,Tricot G,van Rhee F,Walker R,Zangari M,Crowley J,Barlogie B,Shaughnessy JD Jr","GEOID":"GSE2658","EXACT_SOURCE":"Table 3S: Subgroup = MF","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top 50 down-regulated genes in cluster MF of multiple myeloma samples with characteristic expression spike of MAF family transcription factors.","DESCRIPTION_FULL":"To better define the molecular basis of multiple myeloma (MM), we performed unsupervised hierarchic clustering of mRNA expression profiles in CD138-enriched plasma cells from 414 newly diagnosed patients who went on to receive high-dose therapy and tandem stem cell transplants. Seven disease subtypes were validated that were strongly influenced by known genetic lesions, such as c-MAF- and MAFB-, CCND1- and CCND3-, and MMSET-activating translocations and hyperdiploidy. Indicative of the deregulation of common pathways by gene orthologs, common gene signatures were observed in cases with c-MAF and MAFB activation and CCND1 and CCND3 activation, the latter consisting of 2 subgroups, one characterized by expression of the early B-cell markers CD20 and PAX5. A low incidence of focal bone disease distinguished one and increased expression of proliferation-associated genes of another novel subgroup. Comprising varying fractions of each of the other 6 subgroups, the proliferation subgroup dominated at relapse, suggesting that this signature is linked to disease progression. Proliferation and MMSET-spike groups were characterized by significant overexpression of genes mapping to chromosome 1q, and both exhibited a poor prognosis relative to the other groups. A subset of cases with a predominating myeloid gene expression signature, excluded from the profiling analyses, had more favorable baseline characteristics and superior prognosis to those lacking this signature."}
{"STANDARD_NAME":"ZHAN_MULTIPLE_MYELOMA_MS_DN","SYSTEMATIC_NAME":"M18567","ORGANISM":"Homo sapiens","PMID":"16728703","AUTHORS":"Zhan F,Huang Y,Colla S,Stewart JP,Hanamura I,Gupta S,Epstein J,Yaccoby S,Sawyer J,Burington B,Anaissie E,Hollmig K,Pineda-Roman M,Tricot G,van Rhee F,Walker R,Zangari M,Crowley J,Barlogie B,Shaughnessy JD Jr","GEOID":"GSE2658","EXACT_SOURCE":"Table 3S: Subgroup = MS","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kevin Vogelsang","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top 50 down-regulated genes in cluster MS of multiple myeloma samples with characteristic expression spike of WHSC1 [GeneID=7468].","DESCRIPTION_FULL":"To better define the molecular basis of multiple myeloma (MM), we performed unsupervised hierarchic clustering of mRNA expression profiles in CD138-enriched plasma cells from 414 newly diagnosed patients who went on to receive high-dose therapy and tandem stem cell transplants. Seven disease subtypes were validated that were strongly influenced by known genetic lesions, such as c-MAF- and MAFB-, CCND1- and CCND3-, and MMSET-activating translocations and hyperdiploidy. Indicative of the deregulation of common pathways by gene orthologs, common gene signatures were observed in cases with c-MAF and MAFB activation and CCND1 and CCND3 activation, the latter consisting of 2 subgroups, one characterized by expression of the early B-cell markers CD20 and PAX5. A low incidence of focal bone disease distinguished one and increased expression of proliferation-associated genes of another novel subgroup. Comprising varying fractions of each of the other 6 subgroups, the proliferation subgroup dominated at relapse, suggesting that this signature is linked to disease progression. Proliferation and MMSET-spike groups were characterized by significant overexpression of genes mapping to chromosome 1q, and both exhibited a poor prognosis relative to the other groups. A subset of cases with a predominating myeloid gene expression signature, excluded from the profiling analyses, had more favorable baseline characteristics and superior prognosis to those lacking this signature."}
{"STANDARD_NAME":"ZHAN_MULTIPLE_MYELOMA_PR_DN","SYSTEMATIC_NAME":"M10412","ORGANISM":"Homo sapiens","PMID":"16728703","AUTHORS":"Zhan F,Huang Y,Colla S,Stewart JP,Hanamura I,Gupta S,Epstein J,Yaccoby S,Sawyer J,Burington B,Anaissie E,Hollmig K,Pineda-Roman M,Tricot G,van Rhee F,Walker R,Zangari M,Crowley J,Barlogie B,Shaughnessy JD Jr","GEOID":"GSE2658","EXACT_SOURCE":"Table 3S: Subgroup = PR","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top 50 down-regulated genes in cluster PR of multiple myeloma samples characterized by increased expression of proliferation and cell cycle genes.","DESCRIPTION_FULL":"To better define the molecular basis of multiple myeloma (MM), we performed unsupervised hierarchic clustering of mRNA expression profiles in CD138-enriched plasma cells from 414 newly diagnosed patients who went on to receive high-dose therapy and tandem stem cell transplants. Seven disease subtypes were validated that were strongly influenced by known genetic lesions, such as c-MAF- and MAFB-, CCND1- and CCND3-, and MMSET-activating translocations and hyperdiploidy. Indicative of the deregulation of common pathways by gene orthologs, common gene signatures were observed in cases with c-MAF and MAFB activation and CCND1 and CCND3 activation, the latter consisting of 2 subgroups, one characterized by expression of the early B-cell markers CD20 and PAX5. A low incidence of focal bone disease distinguished one and increased expression of proliferation-associated genes of another novel subgroup. Comprising varying fractions of each of the other 6 subgroups, the proliferation subgroup dominated at relapse, suggesting that this signature is linked to disease progression. Proliferation and MMSET-spike groups were characterized by significant overexpression of genes mapping to chromosome 1q, and both exhibited a poor prognosis relative to the other groups. A subset of cases with a predominating myeloid gene expression signature, excluded from the profiling analyses, had more favorable baseline characteristics and superior prognosis to those lacking this signature."}
{"STANDARD_NAME":"NAKAYAMA_SOFT_TISSUE_TUMORS_PCA1_DN","SYSTEMATIC_NAME":"M17937","ORGANISM":"Homo sapiens","PMID":"17464315","AUTHORS":"Nakayama R,Nemoto T,Takahashi H,Ohta T,Kawai A,Seki K,Yoshida T,Toyama Y,Ichikawa H,Hasegawa T","GEOID":"GSE6481","EXACT_SOURCE":"Table 3S: 1st PCA genes (-)","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Nikolaos Papanikolaou","CONTRIBUTOR_ORG":"Aristoteles University of Thessaloniki","DESCRIPTION_BRIEF":"Top 100 probe sets contrubuting to the negative side of the 1st principal component; predominantly associated with synovial sarcoma and myxoid/round cell liposarcoma samples.","DESCRIPTION_FULL":"In soft tissue sarcomas, the diagnosis of malignant fibrous histiocytoma (MFH) has been a very controversial issue, and MFH is now considered to be reclassified into pleomorphic subtypes of other sarcomas. To characterize MFH genetically, we used an oligonucleotide microarray to analyze gene expression in 105 samples from 10 types of soft tissue tumors. Spindle cell and pleomorphic sarcomas, such as dedifferentiated liposarcoma, myxofibrosarcoma, leiomyosarcoma, malignant peripheral nerve sheath tumor (MPNST), fibrosarcoma and MFH, showed similar gene expression patterns compared to other tumors. Samples from those five sarcoma types could be classified into respective clusters based on gene expression by excluding MFH samples. We calculated distances between MFH samples and other five sarcoma types (dedifferentiated liposarcoma, myxofibrosarcoma, leiomyosarcoma, MPNST and fibrosarcoma) based on differentially expressed genes and evaluated similarities. Three of the 21 MFH samples showed marked similarities to one of the five sarcoma types, which were supported by histological findings. Although most of the remaining 18 MFH samples showed little or no histological resemblance to one of the five sarcoma types, 12 of them showed moderate similarities in terms of gene expression. These results explain the heterogeneity of MFH and show that the majority of MFHs could be reclassified into pleomorphic subtypes of other sarcomas. Taken together, gene expression profiling could be a useful tool to unveil the difference in the underlying molecular backgrounds, which leads to a rational taxonomy and diagnosis of a diverse group of soft tissue sarcomas."}
{"STANDARD_NAME":"CHANDRAN_METASTASIS_UP","SYSTEMATIC_NAME":"M16036","ORGANISM":"Homo sapiens","PMID":"17430594","AUTHORS":"Chandran UR,Ma C,Dhir R,Bisceglia M,Lyons-Weiler M,Liang W,Michalopoulos G,Becich M,Monzon FA","GEOID":"GSE6919","EXACT_SOURCE":"Table 2S: Upregulated","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in metastatic tumors from the whole panel of patients with prostate cancer.","DESCRIPTION_FULL":"BACKGROUND: Prostate cancer is characterized by heterogeneity in the clinical course that often does not correlate with morphologic features of the tumor. Metastasis reflects the most adverse outcome of prostate cancer, and to date there are no reliable morphologic features or serum biomarkers that can reliably predict which patients are at higher risk of developing metastatic disease. Understanding the differences in the biology of metastatic and organ confined primary tumors is essential for developing new prognostic markers and therapeutic targets. METHODS: Using Affymetrix oligonucleotide arrays, we analyzed gene expression profiles of 24 androgen-ablation resistant metastatic samples obtained from 4 patients and a previously published dataset of 64 primary prostate tumor samples. Differential gene expression was analyzed after removing potentially uninformative stromal genes, addressing the differences in cellular content between primary and metastatic tumors. RESULTS: The metastatic samples are highly heterogenous in expression; however, differential expression analysis shows that 415 genes are upregulated and 364 genes are downregulated at least 2 fold in every patient with metastasis. The expression profile of metastatic samples reveals changes in expression of a unique set of genes representing both the androgen ablation related pathways and other metastasis related gene networks such as cell adhesion, bone remodelling and cell cycle. The differentially expressed genes include metabolic enzymes, transcription factors such as Forkhead Box M1 (FoxM1) and cell adhesion molecules such as Osteopontin (SPP1). CONCLUSION: We hypothesize that these genes have a role in the biology of metastatic disease and that they represent potential therapeutic targets for prostate cancer."}
{"STANDARD_NAME":"CHANDRAN_METASTASIS_DN","SYSTEMATIC_NAME":"M11615","ORGANISM":"Homo sapiens","PMID":"17430594","AUTHORS":"Chandran UR,Ma C,Dhir R,Bisceglia M,Lyons-Weiler M,Liang W,Michalopoulos G,Becich M,Monzon FA","GEOID":"GSE6919","EXACT_SOURCE":"Table 2S: Downregulated genes","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in metastatic tumors from the whole panel of patients with prostate cancer.","DESCRIPTION_FULL":"BACKGROUND: Prostate cancer is characterized by heterogeneity in the clinical course that often does not correlate with morphologic features of the tumor. Metastasis reflects the most adverse outcome of prostate cancer, and to date there are no reliable morphologic features or serum biomarkers that can reliably predict which patients are at higher risk of developing metastatic disease. Understanding the differences in the biology of metastatic and organ confined primary tumors is essential for developing new prognostic markers and therapeutic targets. METHODS: Using Affymetrix oligonucleotide arrays, we analyzed gene expression profiles of 24 androgen-ablation resistant metastatic samples obtained from 4 patients and a previously published dataset of 64 primary prostate tumor samples. Differential gene expression was analyzed after removing potentially uninformative stromal genes, addressing the differences in cellular content between primary and metastatic tumors. RESULTS: The metastatic samples are highly heterogenous in expression; however, differential expression analysis shows that 415 genes are upregulated and 364 genes are downregulated at least 2 fold in every patient with metastasis. The expression profile of metastatic samples reveals changes in expression of a unique set of genes representing both the androgen ablation related pathways and other metastasis related gene networks such as cell adhesion, bone remodelling and cell cycle. The differentially expressed genes include metabolic enzymes, transcription factors such as Forkhead Box M1 (FoxM1) and cell adhesion molecules such as Osteopontin (SPP1). CONCLUSION: We hypothesize that these genes have a role in the biology of metastatic disease and that they represent potential therapeutic targets for prostate cancer."}
{"STANDARD_NAME":"MIKKELSEN_ES_ICP_WITH_H3K27ME3","SYSTEMATIC_NAME":"M2003","ORGANISM":"Mus musculus","PMID":"17603471","AUTHORS":"Mikkelsen TS,Ku M,Jaffe DB,Issac B,Lieberman E,Giannoukos G,Alvarez P,Brockman W,Kim TK,Koche RP,Lee W,Mendenhall E,O'Donovan A,Presser A,Russ C,Xie X,Meissner A,Wernig M,Jaenisch R,Nusbaum C,Lander ES,Bernstein BE","GEOID":"GSE12241","EXACT_SOURCE":"Table 4S: Class=ICP & ESC state=K27","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with intermediate-CpG-density promoters (ICP) bearing histone H3 K27 trimethylation mark (H3K27me3) in embryonic stem cells (ES).","DESCRIPTION_FULL":"We report the application of single-molecule-based sequencing technology for high-throughput profiling of histone modifications in mammalian cells. By obtaining over four billion bases of sequence from chromatin immunoprecipitated DNA, we generated genome-wide chromatin-state maps of mouse embryonic stem cells, neural progenitor cells and embryonic fibroblasts. We find that lysine 4 and lysine 27 trimethylation effectively discriminates genes that are expressed, poised for expression, or stably repressed, and therefore reflect cell state and lineage potential. Lysine 36 trimethylation marks primary coding and non-coding transcripts, facilitating gene annotation. Trimethylation of lysine 9 and lysine 20 is detected at satellite, telomeric and active long-terminal repeats, and can spread into proximal unique sequences. Lysine 4 and lysine 9 trimethylation marks imprinting control regions. Finally, we show that chromatin state can be read in an allele-specific manner by using single nucleotide polymorphisms. This study provides a framework for the application of comprehensive chromatin profiling towards characterization of diverse mammalian cell populations."}
{"STANDARD_NAME":"MIKKELSEN_ES_ICP_WITH_H3K4ME3","SYSTEMATIC_NAME":"M2004","ORGANISM":"Mus musculus","PMID":"17603471","AUTHORS":"Mikkelsen TS,Ku M,Jaffe DB,Issac B,Lieberman E,Giannoukos G,Alvarez P,Brockman W,Kim TK,Koche RP,Lee W,Mendenhall E,O'Donovan A,Presser A,Russ C,Xie X,Meissner A,Wernig M,Jaenisch R,Nusbaum C,Lander ES,Bernstein BE","GEOID":"GSE12241","EXACT_SOURCE":"Table 4S: Class=ICP & ESC state=K4","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with intermediate-CpG-density (ICP) promoters bearing histone H3 K4 trimethylation mark (H3K4me3) in embryonic stem cells (ES).","DESCRIPTION_FULL":"We report the application of single-molecule-based sequencing technology for high-throughput profiling of histone modifications in mammalian cells. By obtaining over four billion bases of sequence from chromatin immunoprecipitated DNA, we generated genome-wide chromatin-state maps of mouse embryonic stem cells, neural progenitor cells and embryonic fibroblasts. We find that lysine 4 and lysine 27 trimethylation effectively discriminates genes that are expressed, poised for expression, or stably repressed, and therefore reflect cell state and lineage potential. Lysine 36 trimethylation marks primary coding and non-coding transcripts, facilitating gene annotation. Trimethylation of lysine 9 and lysine 20 is detected at satellite, telomeric and active long-terminal repeats, and can spread into proximal unique sequences. Lysine 4 and lysine 9 trimethylation marks imprinting control regions. Finally, we show that chromatin state can be read in an allele-specific manner by using single nucleotide polymorphisms. This study provides a framework for the application of comprehensive chromatin profiling towards characterization of diverse mammalian cell populations."}
{"STANDARD_NAME":"MIKKELSEN_ES_ICP_WITH_H3K4ME3_AND_H3K27ME3","SYSTEMATIC_NAME":"M2005","ORGANISM":"Mus musculus","PMID":"17603471","AUTHORS":"Mikkelsen TS,Ku M,Jaffe DB,Issac B,Lieberman E,Giannoukos G,Alvarez P,Brockman W,Kim TK,Koche RP,Lee W,Mendenhall E,O'Donovan A,Presser A,Russ C,Xie X,Meissner A,Wernig M,Jaenisch R,Nusbaum C,Lander ES,Bernstein BE","GEOID":"GSE12241","EXACT_SOURCE":"Table 4S: Class=ICP & ESC state=K4+K27","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with intermediate-CpG-density promoters (ICP) bearing bivalent histone H3 methylation mark (H3K4me3 and H3K27me3) in embryonic stem cells (ES).","DESCRIPTION_FULL":"We report the application of single-molecule-based sequencing technology for high-throughput profiling of histone modifications in mammalian cells. By obtaining over four billion bases of sequence from chromatin immunoprecipitated DNA, we generated genome-wide chromatin-state maps of mouse embryonic stem cells, neural progenitor cells and embryonic fibroblasts. We find that lysine 4 and lysine 27 trimethylation effectively discriminates genes that are expressed, poised for expression, or stably repressed, and therefore reflect cell state and lineage potential. Lysine 36 trimethylation marks primary coding and non-coding transcripts, facilitating gene annotation. Trimethylation of lysine 9 and lysine 20 is detected at satellite, telomeric and active long-terminal repeats, and can spread into proximal unique sequences. Lysine 4 and lysine 9 trimethylation marks imprinting control regions. Finally, we show that chromatin state can be read in an allele-specific manner by using single nucleotide polymorphisms. This study provides a framework for the application of comprehensive chromatin profiling towards characterization of diverse mammalian cell populations."}
{"STANDARD_NAME":"MIKKELSEN_ES_LCP_WITH_H3K27ME3","SYSTEMATIC_NAME":"M2006","ORGANISM":"Mus musculus","PMID":"17603471","AUTHORS":"Mikkelsen TS,Ku M,Jaffe DB,Issac B,Lieberman E,Giannoukos G,Alvarez P,Brockman W,Kim TK,Koche RP,Lee W,Mendenhall E,O'Donovan A,Presser A,Russ C,Xie X,Meissner A,Wernig M,Jaenisch R,Nusbaum C,Lander ES,Bernstein BE","GEOID":"GSE12241","EXACT_SOURCE":"Table 4S: Class=LCP & ESC state=K27","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with low-CpG-density promoters bearing H3 trimethylation mark at K27 (H3K27me3) in embryonic stem cells (ES).","DESCRIPTION_FULL":"We report the application of single-molecule-based sequencing technology for high-throughput profiling of histone modifications in mammalian cells. By obtaining over four billion bases of sequence from chromatin immunoprecipitated DNA, we generated genome-wide chromatin-state maps of mouse embryonic stem cells, neural progenitor cells and embryonic fibroblasts. We find that lysine 4 and lysine 27 trimethylation effectively discriminates genes that are expressed, poised for expression, or stably repressed, and therefore reflect cell state and lineage potential. Lysine 36 trimethylation marks primary coding and non-coding transcripts, facilitating gene annotation. Trimethylation of lysine 9 and lysine 20 is detected at satellite, telomeric and active long-terminal repeats, and can spread into proximal unique sequences. Lysine 4 and lysine 9 trimethylation marks imprinting control regions. Finally, we show that chromatin state can be read in an allele-specific manner by using single nucleotide polymorphisms. This study provides a framework for the application of comprehensive chromatin profiling towards characterization of diverse mammalian cell populations."}
{"STANDARD_NAME":"MIKKELSEN_ES_LCP_WITH_H3K4ME3","SYSTEMATIC_NAME":"M2007","ORGANISM":"Mus musculus","PMID":"17603471","AUTHORS":"Mikkelsen TS,Ku M,Jaffe DB,Issac B,Lieberman E,Giannoukos G,Alvarez P,Brockman W,Kim TK,Koche RP,Lee W,Mendenhall E,O'Donovan A,Presser A,Russ C,Xie X,Meissner A,Wernig M,Jaenisch R,Nusbaum C,Lander ES,Bernstein BE","GEOID":"GSE12241","EXACT_SOURCE":"Table 4S: Class=LCP & ESC state=K4","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with low-CpG-density promoters (LCP) bearing histone H3 trimethylation mark at K4 (H3K4me3) in embryonic stem cells (ES).","DESCRIPTION_FULL":"We report the application of single-molecule-based sequencing technology for high-throughput profiling of histone modifications in mammalian cells. By obtaining over four billion bases of sequence from chromatin immunoprecipitated DNA, we generated genome-wide chromatin-state maps of mouse embryonic stem cells, neural progenitor cells and embryonic fibroblasts. We find that lysine 4 and lysine 27 trimethylation effectively discriminates genes that are expressed, poised for expression, or stably repressed, and therefore reflect cell state and lineage potential. Lysine 36 trimethylation marks primary coding and non-coding transcripts, facilitating gene annotation. Trimethylation of lysine 9 and lysine 20 is detected at satellite, telomeric and active long-terminal repeats, and can spread into proximal unique sequences. Lysine 4 and lysine 9 trimethylation marks imprinting control regions. Finally, we show that chromatin state can be read in an allele-specific manner by using single nucleotide polymorphisms. This study provides a framework for the application of comprehensive chromatin profiling towards characterization of diverse mammalian cell populations."}
{"STANDARD_NAME":"MIKKELSEN_ES_LCP_WITH_H3K4ME3_AND_H3K27ME3","SYSTEMATIC_NAME":"M2008","ORGANISM":"Mus musculus","PMID":"17603471","AUTHORS":"Mikkelsen TS,Ku M,Jaffe DB,Issac B,Lieberman E,Giannoukos G,Alvarez P,Brockman W,Kim TK,Koche RP,Lee W,Mendenhall E,O'Donovan A,Presser A,Russ C,Xie X,Meissner A,Wernig M,Jaenisch R,Nusbaum C,Lander ES,Bernstein BE","GEOID":"GSE12241","EXACT_SOURCE":"Table 4S: Class=LCP & ESC state=K4+k27","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with low-CpG-density promoters (LCP) bearing the bivalent histone H3 trimethylation mark at K4 and K27 (H3K4me3 and H3K27me3) in embryonic stem cells (ES).","DESCRIPTION_FULL":"We report the application of single-molecule-based sequencing technology for high-throughput profiling of histone modifications in mammalian cells. By obtaining over four billion bases of sequence from chromatin immunoprecipitated DNA, we generated genome-wide chromatin-state maps of mouse embryonic stem cells, neural progenitor cells and embryonic fibroblasts. We find that lysine 4 and lysine 27 trimethylation effectively discriminates genes that are expressed, poised for expression, or stably repressed, and therefore reflect cell state and lineage potential. Lysine 36 trimethylation marks primary coding and non-coding transcripts, facilitating gene annotation. Trimethylation of lysine 9 and lysine 20 is detected at satellite, telomeric and active long-terminal repeats, and can spread into proximal unique sequences. Lysine 4 and lysine 9 trimethylation marks imprinting control regions. Finally, we show that chromatin state can be read in an allele-specific manner by using single nucleotide polymorphisms. This study provides a framework for the application of comprehensive chromatin profiling towards characterization of diverse mammalian cell populations."}
{"STANDARD_NAME":"MIKKELSEN_NPC_HCP_WITH_H3K27ME3","SYSTEMATIC_NAME":"M2009","ORGANISM":"Mus musculus","PMID":"17603471","AUTHORS":"Mikkelsen TS,Ku M,Jaffe DB,Issac B,Lieberman E,Giannoukos G,Alvarez P,Brockman W,Kim TK,Koche RP,Lee W,Mendenhall E,O'Donovan A,Presser A,Russ C,Xie X,Meissner A,Wernig M,Jaenisch R,Nusbaum C,Lander ES,Bernstein BE","GEOID":"GSE12241","EXACT_SOURCE":"Table 4S: Class=HCP & NPC state=K27","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with high-CpG-density promoters (HCP) bearing histone H3 trimethylation mark at K27 (H3K27me3) in neural progenitor cells (NPC).","DESCRIPTION_FULL":"We report the application of single-molecule-based sequencing technology for high-throughput profiling of histone modifications in mammalian cells. By obtaining over four billion bases of sequence from chromatin immunoprecipitated DNA, we generated genome-wide chromatin-state maps of mouse embryonic stem cells, neural progenitor cells and embryonic fibroblasts. We find that lysine 4 and lysine 27 trimethylation effectively discriminates genes that are expressed, poised for expression, or stably repressed, and therefore reflect cell state and lineage potential. Lysine 36 trimethylation marks primary coding and non-coding transcripts, facilitating gene annotation. Trimethylation of lysine 9 and lysine 20 is detected at satellite, telomeric and active long-terminal repeats, and can spread into proximal unique sequences. Lysine 4 and lysine 9 trimethylation marks imprinting control regions. Finally, we show that chromatin state can be read in an allele-specific manner by using single nucleotide polymorphisms. This study provides a framework for the application of comprehensive chromatin profiling towards characterization of diverse mammalian cell populations."}
{"STANDARD_NAME":"MIKKELSEN_NPC_HCP_WITH_H3K4ME3_AND_H3K27ME3","SYSTEMATIC_NAME":"M2010","ORGANISM":"Mus musculus","PMID":"17603471","AUTHORS":"Mikkelsen TS,Ku M,Jaffe DB,Issac B,Lieberman E,Giannoukos G,Alvarez P,Brockman W,Kim TK,Koche RP,Lee W,Mendenhall E,O'Donovan A,Presser A,Russ C,Xie X,Meissner A,Wernig M,Jaenisch R,Nusbaum C,Lander ES,Bernstein BE","GEOID":"GSE12241","EXACT_SOURCE":"Table 4S: Class=HCP & NPC state=K4+K27","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with high-CpG-density promoters (HCP) bearing the bivalent histone H3 trimethylation mark at K4 and K27 (H3K4me3 and H3K27me3) in neural progenitor cells (NPC).","DESCRIPTION_FULL":"We report the application of single-molecule-based sequencing technology for high-throughput profiling of histone modifications in mammalian cells. By obtaining over four billion bases of sequence from chromatin immunoprecipitated DNA, we generated genome-wide chromatin-state maps of mouse embryonic stem cells, neural progenitor cells and embryonic fibroblasts. We find that lysine 4 and lysine 27 trimethylation effectively discriminates genes that are expressed, poised for expression, or stably repressed, and therefore reflect cell state and lineage potential. Lysine 36 trimethylation marks primary coding and non-coding transcripts, facilitating gene annotation. Trimethylation of lysine 9 and lysine 20 is detected at satellite, telomeric and active long-terminal repeats, and can spread into proximal unique sequences. Lysine 4 and lysine 9 trimethylation marks imprinting control regions. Finally, we show that chromatin state can be read in an allele-specific manner by using single nucleotide polymorphisms. This study provides a framework for the application of comprehensive chromatin profiling towards characterization of diverse mammalian cell populations."}
{"STANDARD_NAME":"MIKKELSEN_NPC_ICP_WITH_H3K27ME3","SYSTEMATIC_NAME":"M2011","ORGANISM":"Mus musculus","PMID":"17603471","AUTHORS":"Mikkelsen TS,Ku M,Jaffe DB,Issac B,Lieberman E,Giannoukos G,Alvarez P,Brockman W,Kim TK,Koche RP,Lee W,Mendenhall E,O'Donovan A,Presser A,Russ C,Xie X,Meissner A,Wernig M,Jaenisch R,Nusbaum C,Lander ES,Bernstein BE","GEOID":"GSE12241","EXACT_SOURCE":"Table 4S: Class=ICP & NPC state=K27","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with intermediate-CpG-density promoters (ICP) bearing histone H3 trimethylation mark at K27 (H3K27me3) in neural progenitor cells (NPC).","DESCRIPTION_FULL":"We report the application of single-molecule-based sequencing technology for high-throughput profiling of histone modifications in mammalian cells. By obtaining over four billion bases of sequence from chromatin immunoprecipitated DNA, we generated genome-wide chromatin-state maps of mouse embryonic stem cells, neural progenitor cells and embryonic fibroblasts. We find that lysine 4 and lysine 27 trimethylation effectively discriminates genes that are expressed, poised for expression, or stably repressed, and therefore reflect cell state and lineage potential. Lysine 36 trimethylation marks primary coding and non-coding transcripts, facilitating gene annotation. Trimethylation of lysine 9 and lysine 20 is detected at satellite, telomeric and active long-terminal repeats, and can spread into proximal unique sequences. Lysine 4 and lysine 9 trimethylation marks imprinting control regions. Finally, we show that chromatin state can be read in an allele-specific manner by using single nucleotide polymorphisms. This study provides a framework for the application of comprehensive chromatin profiling towards characterization of diverse mammalian cell populations."}
{"STANDARD_NAME":"MIKKELSEN_NPC_ICP_WITH_H3K4ME3","SYSTEMATIC_NAME":"M2013","ORGANISM":"Mus musculus","PMID":"17603471","AUTHORS":"Mikkelsen TS,Ku M,Jaffe DB,Issac B,Lieberman E,Giannoukos G,Alvarez P,Brockman W,Kim TK,Koche RP,Lee W,Mendenhall E,O'Donovan A,Presser A,Russ C,Xie X,Meissner A,Wernig M,Jaenisch R,Nusbaum C,Lander ES,Bernstein BE","GEOID":"GSE12241","EXACT_SOURCE":"Table 4S: Class=ICP & NPC state=K4","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with intermediate-CpG-density promoters (ICP) bearing histone H3 trimethylation mark at K4 (H3K4me3) in neural progenitor cells (NPC).","DESCRIPTION_FULL":"We report the application of single-molecule-based sequencing technology for high-throughput profiling of histone modifications in mammalian cells. By obtaining over four billion bases of sequence from chromatin immunoprecipitated DNA, we generated genome-wide chromatin-state maps of mouse embryonic stem cells, neural progenitor cells and embryonic fibroblasts. We find that lysine 4 and lysine 27 trimethylation effectively discriminates genes that are expressed, poised for expression, or stably repressed, and therefore reflect cell state and lineage potential. Lysine 36 trimethylation marks primary coding and non-coding transcripts, facilitating gene annotation. Trimethylation of lysine 9 and lysine 20 is detected at satellite, telomeric and active long-terminal repeats, and can spread into proximal unique sequences. Lysine 4 and lysine 9 trimethylation marks imprinting control regions. Finally, we show that chromatin state can be read in an allele-specific manner by using single nucleotide polymorphisms. This study provides a framework for the application of comprehensive chromatin profiling towards characterization of diverse mammalian cell populations."}
{"STANDARD_NAME":"MIKKELSEN_NPC_WITH_LCP_H3K27ME3","SYSTEMATIC_NAME":"M2017","ORGANISM":"Mus musculus","PMID":"17603471","AUTHORS":"Mikkelsen TS,Ku M,Jaffe DB,Issac B,Lieberman E,Giannoukos G,Alvarez P,Brockman W,Kim TK,Koche RP,Lee W,Mendenhall E,O'Donovan A,Presser A,Russ C,Xie X,Meissner A,Wernig M,Jaenisch R,Nusbaum C,Lander ES,Bernstein BE","GEOID":"GSE12241","EXACT_SOURCE":"Table 4S: Class=LCP & NPC state=K27","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with low-CpG-density promoters (LCP) bearing histone H3 trimethylation mark at K27 in neural progenitor cells (NPC).","DESCRIPTION_FULL":"We report the application of single-molecule-based sequencing technology for high-throughput profiling of histone modifications in mammalian cells. By obtaining over four billion bases of sequence from chromatin immunoprecipitated DNA, we generated genome-wide chromatin-state maps of mouse embryonic stem cells, neural progenitor cells and embryonic fibroblasts. We find that lysine 4 and lysine 27 trimethylation effectively discriminates genes that are expressed, poised for expression, or stably repressed, and therefore reflect cell state and lineage potential. Lysine 36 trimethylation marks primary coding and non-coding transcripts, facilitating gene annotation. Trimethylation of lysine 9 and lysine 20 is detected at satellite, telomeric and active long-terminal repeats, and can spread into proximal unique sequences. Lysine 4 and lysine 9 trimethylation marks imprinting control regions. Finally, we show that chromatin state can be read in an allele-specific manner by using single nucleotide polymorphisms. This study provides a framework for the application of comprehensive chromatin profiling towards characterization of diverse mammalian cell populations."}
{"STANDARD_NAME":"MIKKELSEN_NPC_LCP_WITH_H3K4ME3","SYSTEMATIC_NAME":"M2018","ORGANISM":"Mus musculus","PMID":"17603471","AUTHORS":"Mikkelsen TS,Ku M,Jaffe DB,Issac B,Lieberman E,Giannoukos G,Alvarez P,Brockman W,Kim TK,Koche RP,Lee W,Mendenhall E,O'Donovan A,Presser A,Russ C,Xie X,Meissner A,Wernig M,Jaenisch R,Nusbaum C,Lander ES,Bernstein BE","GEOID":"GSE12241","EXACT_SOURCE":"Table 4S: Class=LCP & NPC state=K4","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with low-CpG-density promoters (LCP) bearing histone H3 trimethylation mark at K4 (H3K4me3) in neural progenitor cells (NPC).","DESCRIPTION_FULL":"We report the application of single-molecule-based sequencing technology for high-throughput profiling of histone modifications in mammalian cells. By obtaining over four billion bases of sequence from chromatin immunoprecipitated DNA, we generated genome-wide chromatin-state maps of mouse embryonic stem cells, neural progenitor cells and embryonic fibroblasts. We find that lysine 4 and lysine 27 trimethylation effectively discriminates genes that are expressed, poised for expression, or stably repressed, and therefore reflect cell state and lineage potential. Lysine 36 trimethylation marks primary coding and non-coding transcripts, facilitating gene annotation. Trimethylation of lysine 9 and lysine 20 is detected at satellite, telomeric and active long-terminal repeats, and can spread into proximal unique sequences. Lysine 4 and lysine 9 trimethylation marks imprinting control regions. Finally, we show that chromatin state can be read in an allele-specific manner by using single nucleotide polymorphisms. This study provides a framework for the application of comprehensive chromatin profiling towards characterization of diverse mammalian cell populations."}
{"STANDARD_NAME":"MIKKELSEN_MEF_HCP_WITH_H3K27ME3","SYSTEMATIC_NAME":"M2019","ORGANISM":"Mus musculus","PMID":"17603471","AUTHORS":"Mikkelsen TS,Ku M,Jaffe DB,Issac B,Lieberman E,Giannoukos G,Alvarez P,Brockman W,Kim TK,Koche RP,Lee W,Mendenhall E,O'Donovan A,Presser A,Russ C,Xie X,Meissner A,Wernig M,Jaenisch R,Nusbaum C,Lander ES,Bernstein BE","GEOID":"GSE12241","EXACT_SOURCE":"Table 4S: Class=HCP & MEF state=K27","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with high-CpG-density promoters (HCP) bearing histone H3 trimethylation mark at K27 (H3K27me3) in MEF cells (embryonic fibroblast).","DESCRIPTION_FULL":"We report the application of single-molecule-based sequencing technology for high-throughput profiling of histone modifications in mammalian cells. By obtaining over four billion bases of sequence from chromatin immunoprecipitated DNA, we generated genome-wide chromatin-state maps of mouse embryonic stem cells, neural progenitor cells and embryonic fibroblasts. We find that lysine 4 and lysine 27 trimethylation effectively discriminates genes that are expressed, poised for expression, or stably repressed, and therefore reflect cell state and lineage potential. Lysine 36 trimethylation marks primary coding and non-coding transcripts, facilitating gene annotation. Trimethylation of lysine 9 and lysine 20 is detected at satellite, telomeric and active long-terminal repeats, and can spread into proximal unique sequences. Lysine 4 and lysine 9 trimethylation marks imprinting control regions. Finally, we show that chromatin state can be read in an allele-specific manner by using single nucleotide polymorphisms. This study provides a framework for the application of comprehensive chromatin profiling towards characterization of diverse mammalian cell populations."}
{"STANDARD_NAME":"YAO_TEMPORAL_RESPONSE_TO_PROGESTERONE_CLUSTER_0","SYSTEMATIC_NAME":"M15699","ORGANISM":"Mus musculus","PMID":"12554760","AUTHORS":"Yao MW,Lim H,Schust DJ,Choe SE,Farago A,Ding Y,Michaud S,Church GM,Maas RL","GEOID":"GSE106,GSE107","EXACT_SOURCE":"Supp. data: out_b_data Web S6: Cluster No.=0","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes co-regulated in uterus during a time course response to progesterone [PubChem=5994]: SOM cluster 0.","DESCRIPTION_FULL":"Human infertility and recurrent pregnancy loss caused by implantation defects are poorly understood. Hoxa-10-deficient female mice have severe infertility and recurrent pregnancy loss due to defective uterine implantation. Gene expression profiling experiments reveal that Hoxa-10 is an important regulator of two critical events in implantation: stromal cell proliferation and local immunosuppression. At the time of implantation, Hoxa-10 mediates the progesterone-stimulated proliferation of uterine stromal cells. Hoxa-10 mutants express a stromal cell proliferation defect that is accompanied by quantitative or spatial alterations in the expression of two cyclin-dependent kinase inhibitor genes, p57 and p15. Hoxa-10 deficiency also leads to a severe local immunological disturbance, characterized by a polyclonal proliferation of T cells, that occurs in place of the normal progesterone-mediated immunosuppression in the periimplantation uterus."}
{"STANDARD_NAME":"YAO_TEMPORAL_RESPONSE_TO_PROGESTERONE_CLUSTER_1","SYSTEMATIC_NAME":"M1145","ORGANISM":"Mus musculus","PMID":"12554760","AUTHORS":"Yao MW,Lim H,Schust DJ,Choe SE,Farago A,Ding Y,Michaud S,Church GM,Maas RL","GEOID":"GSE106,GSE107","EXACT_SOURCE":"Supp. data: out_b_data Web S6: Cluster No.=1","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes co-regulated in uterus during a time course response to progesterone [PubChem=5994]: SOM cluster 1.","DESCRIPTION_FULL":"Human infertility and recurrent pregnancy loss caused by implantation defects are poorly understood. Hoxa-10-deficient female mice have severe infertility and recurrent pregnancy loss due to defective uterine implantation. Gene expression profiling experiments reveal that Hoxa-10 is an important regulator of two critical events in implantation: stromal cell proliferation and local immunosuppression. At the time of implantation, Hoxa-10 mediates the progesterone-stimulated proliferation of uterine stromal cells. Hoxa-10 mutants express a stromal cell proliferation defect that is accompanied by quantitative or spatial alterations in the expression of two cyclin-dependent kinase inhibitor genes, p57 and p15. Hoxa-10 deficiency also leads to a severe local immunological disturbance, characterized by a polyclonal proliferation of T cells, that occurs in place of the normal progesterone-mediated immunosuppression in the periimplantation uterus."}
{"STANDARD_NAME":"YAO_TEMPORAL_RESPONSE_TO_PROGESTERONE_CLUSTER_2","SYSTEMATIC_NAME":"M2021","ORGANISM":"Mus musculus","PMID":"12554760","AUTHORS":"Yao MW,Lim H,Schust DJ,Choe SE,Farago A,Ding Y,Michaud S,Church GM,Maas RL","GEOID":"GSE106,GSE107","EXACT_SOURCE":"Supp. data: out_b_data Web S6: Cluster No.=2","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes co-regulated in uterus during a time course response to progesterone [PubChem=5994]: SOM cluster 2.","DESCRIPTION_FULL":"Human infertility and recurrent pregnancy loss caused by implantation defects are poorly understood. Hoxa-10-deficient female mice have severe infertility and recurrent pregnancy loss due to defective uterine implantation. Gene expression profiling experiments reveal that Hoxa-10 is an important regulator of two critical events in implantation: stromal cell proliferation and local immunosuppression. At the time of implantation, Hoxa-10 mediates the progesterone-stimulated proliferation of uterine stromal cells. Hoxa-10 mutants express a stromal cell proliferation defect that is accompanied by quantitative or spatial alterations in the expression of two cyclin-dependent kinase inhibitor genes, p57 and p15. Hoxa-10 deficiency also leads to a severe local immunological disturbance, characterized by a polyclonal proliferation of T cells, that occurs in place of the normal progesterone-mediated immunosuppression in the periimplantation uterus."}
{"STANDARD_NAME":"YAO_TEMPORAL_RESPONSE_TO_PROGESTERONE_CLUSTER_3","SYSTEMATIC_NAME":"M12322","ORGANISM":"Mus musculus","PMID":"12554760","AUTHORS":"Yao MW,Lim H,Schust DJ,Choe SE,Farago A,Ding Y,Michaud S,Church GM,Maas RL","GEOID":"GSE106,GSE107","EXACT_SOURCE":"Supp. data: out_b_data Web S6: Cluster No.=3","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes co-regulated in uterus during a time course response to progesterone [PubChem=5994]: SOM cluster 3.","DESCRIPTION_FULL":"Human infertility and recurrent pregnancy loss caused by implantation defects are poorly understood. Hoxa-10-deficient female mice have severe infertility and recurrent pregnancy loss due to defective uterine implantation. Gene expression profiling experiments reveal that Hoxa-10 is an important regulator of two critical events in implantation: stromal cell proliferation and local immunosuppression. At the time of implantation, Hoxa-10 mediates the progesterone-stimulated proliferation of uterine stromal cells. Hoxa-10 mutants express a stromal cell proliferation defect that is accompanied by quantitative or spatial alterations in the expression of two cyclin-dependent kinase inhibitor genes, p57 and p15. Hoxa-10 deficiency also leads to a severe local immunological disturbance, characterized by a polyclonal proliferation of T cells, that occurs in place of the normal progesterone-mediated immunosuppression in the periimplantation uterus."}
{"STANDARD_NAME":"YAO_TEMPORAL_RESPONSE_TO_PROGESTERONE_CLUSTER_4","SYSTEMATIC_NAME":"M16325","ORGANISM":"Mus musculus","PMID":"12554760","AUTHORS":"Yao MW,Lim H,Schust DJ,Choe SE,Farago A,Ding Y,Michaud S,Church GM,Maas RL","GEOID":"GSE107,GSE106","EXACT_SOURCE":"Supp. data: out_b_data Web S6: Cluster No.=4","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes co-regulated in uterus during a time course response to progesterone [PubChem=5994]: SOM cluster 4.","DESCRIPTION_FULL":"Human infertility and recurrent pregnancy loss caused by implantation defects are poorly understood. Hoxa-10-deficient female mice have severe infertility and recurrent pregnancy loss due to defective uterine implantation. Gene expression profiling experiments reveal that Hoxa-10 is an important regulator of two critical events in implantation: stromal cell proliferation and local immunosuppression. At the time of implantation, Hoxa-10 mediates the progesterone-stimulated proliferation of uterine stromal cells. Hoxa-10 mutants express a stromal cell proliferation defect that is accompanied by quantitative or spatial alterations in the expression of two cyclin-dependent kinase inhibitor genes, p57 and p15. Hoxa-10 deficiency also leads to a severe local immunological disturbance, characterized by a polyclonal proliferation of T cells, that occurs in place of the normal progesterone-mediated immunosuppression in the periimplantation uterus."}
{"STANDARD_NAME":"YAO_TEMPORAL_RESPONSE_TO_PROGESTERONE_CLUSTER_6","SYSTEMATIC_NAME":"M13387","ORGANISM":"Mus musculus","PMID":"12554760","AUTHORS":"Yao MW,Lim H,Schust DJ,Choe SE,Farago A,Ding Y,Michaud S,Church GM,Maas RL","GEOID":"GSE106,GSE107","EXACT_SOURCE":"Supp. data: out_b_data Web S6: Cluster No.=6","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes co-regulated in uterus during a time course response to progesterone [PubChem=5994]: SOM cluster 6.","DESCRIPTION_FULL":"Human infertility and recurrent pregnancy loss caused by implantation defects are poorly understood. Hoxa-10-deficient female mice have severe infertility and recurrent pregnancy loss due to defective uterine implantation. Gene expression profiling experiments reveal that Hoxa-10 is an important regulator of two critical events in implantation: stromal cell proliferation and local immunosuppression. At the time of implantation, Hoxa-10 mediates the progesterone-stimulated proliferation of uterine stromal cells. Hoxa-10 mutants express a stromal cell proliferation defect that is accompanied by quantitative or spatial alterations in the expression of two cyclin-dependent kinase inhibitor genes, p57 and p15. Hoxa-10 deficiency also leads to a severe local immunological disturbance, characterized by a polyclonal proliferation of T cells, that occurs in place of the normal progesterone-mediated immunosuppression in the periimplantation uterus."}
{"STANDARD_NAME":"YAO_TEMPORAL_RESPONSE_TO_PROGESTERONE_CLUSTER_7","SYSTEMATIC_NAME":"M17481","ORGANISM":"Mus musculus","PMID":"12554760","AUTHORS":"Yao MW,Lim H,Schust DJ,Choe SE,Farago A,Ding Y,Michaud S,Church GM,Maas RL","GEOID":"GSE107,GSE106","EXACT_SOURCE":"Supp. data: out_b_data Web S6: Cluster No.=7","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes co-regulated in uterus during a time course response to progesterone [PubChem=5994]: SOM cluster 7.","DESCRIPTION_FULL":"Human infertility and recurrent pregnancy loss caused by implantation defects are poorly understood. Hoxa-10-deficient female mice have severe infertility and recurrent pregnancy loss due to defective uterine implantation. Gene expression profiling experiments reveal that Hoxa-10 is an important regulator of two critical events in implantation: stromal cell proliferation and local immunosuppression. At the time of implantation, Hoxa-10 mediates the progesterone-stimulated proliferation of uterine stromal cells. Hoxa-10 mutants express a stromal cell proliferation defect that is accompanied by quantitative or spatial alterations in the expression of two cyclin-dependent kinase inhibitor genes, p57 and p15. Hoxa-10 deficiency also leads to a severe local immunological disturbance, characterized by a polyclonal proliferation of T cells, that occurs in place of the normal progesterone-mediated immunosuppression in the periimplantation uterus."}
{"STANDARD_NAME":"YAO_TEMPORAL_RESPONSE_TO_PROGESTERONE_CLUSTER_8","SYSTEMATIC_NAME":"M16033","ORGANISM":"Mus musculus","PMID":"12554760","AUTHORS":"Yao MW,Lim H,Schust DJ,Choe SE,Farago A,Ding Y,Michaud S,Church GM,Maas RL","GEOID":"GSE107,GSE106","EXACT_SOURCE":"Supp. data: out_b_data Web S6: Cluster No.=8","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes co-regulated in uterus during a time course response to progesterone [PubChem=5994]: SOM cluster 8.","DESCRIPTION_FULL":"Human infertility and recurrent pregnancy loss caused by implantation defects are poorly understood. Hoxa-10-deficient female mice have severe infertility and recurrent pregnancy loss due to defective uterine implantation. Gene expression profiling experiments reveal that Hoxa-10 is an important regulator of two critical events in implantation: stromal cell proliferation and local immunosuppression. At the time of implantation, Hoxa-10 mediates the progesterone-stimulated proliferation of uterine stromal cells. Hoxa-10 mutants express a stromal cell proliferation defect that is accompanied by quantitative or spatial alterations in the expression of two cyclin-dependent kinase inhibitor genes, p57 and p15. Hoxa-10 deficiency also leads to a severe local immunological disturbance, characterized by a polyclonal proliferation of T cells, that occurs in place of the normal progesterone-mediated immunosuppression in the periimplantation uterus."}
{"STANDARD_NAME":"YAO_TEMPORAL_RESPONSE_TO_PROGESTERONE_CLUSTER_12","SYSTEMATIC_NAME":"M19891","ORGANISM":"Mus musculus","PMID":"12554760","AUTHORS":"Yao MW,Lim H,Schust DJ,Choe SE,Farago A,Ding Y,Michaud S,Church GM,Maas RL","GEOID":"GSE107,GSE106","EXACT_SOURCE":"Supp. data: out_b_data Web S6: Cluster No.=12","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes co-regulated in uterus during a time course response to progesterone [PubChem=5994]: SOM cluster 12.","DESCRIPTION_FULL":"Human infertility and recurrent pregnancy loss caused by implantation defects are poorly understood. Hoxa-10-deficient female mice have severe infertility and recurrent pregnancy loss due to defective uterine implantation. Gene expression profiling experiments reveal that Hoxa-10 is an important regulator of two critical events in implantation: stromal cell proliferation and local immunosuppression. At the time of implantation, Hoxa-10 mediates the progesterone-stimulated proliferation of uterine stromal cells. Hoxa-10 mutants express a stromal cell proliferation defect that is accompanied by quantitative or spatial alterations in the expression of two cyclin-dependent kinase inhibitor genes, p57 and p15. Hoxa-10 deficiency also leads to a severe local immunological disturbance, characterized by a polyclonal proliferation of T cells, that occurs in place of the normal progesterone-mediated immunosuppression in the periimplantation uterus."}
{"STANDARD_NAME":"SENGUPTA_EBNA1_ANTICORRELATED","SYSTEMATIC_NAME":"M18742","ORGANISM":"Homo sapiens","PMID":"16912175","AUTHORS":"Sengupta S,den Boon JA,Chen IH,Newton MA,Dahl DB,Chen M,Cheng YJ,Westra WH,Chen CJ,Hildesheim A,Sugden B,Ahlquist P","GEOID":"GSE12452","EXACT_SOURCE":"Table 8S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes whose reduced expression in nasopharyngeal carinoma (NPC) correlated most with the increased expression of EBNA1 [GeneID=3783774], a latent gene of Epstein-Barr virus (EBV).","DESCRIPTION_FULL":"To identify the molecular mechanisms by which EBV-associated epithelial cancers are maintained, we measured the expression of essentially all human genes and all latent EBV genes in a collection of 31 laser-captured, microdissected nasopharyngeal carcinoma (NPC) tissue samples and 10 normal nasopharyngeal tissues. Global gene expression profiles clearly distinguished tumors from normal healthy epithelium. Expression levels of six viral genes (EBNA1, EBNA2, EBNA3A, EBNA3B, LMP1, and LMP2A) were correlated among themselves and strongly inversely correlated with the expression of a large subset of host genes. Among the human genes whose inhibition was most strongly correlated with increased EBV gene expression were multiple MHC class I HLA genes involved in regulating immune response via antigen presentation. The association between EBV gene expression and inhibition of MHC class I HLA expression implies that antigen display is either directly inhibited by EBV, facilitating immune evasion by tumor cells, and/or that tumor cells with inhibited presentation are selected for their ability to sustain higher levels of EBV to take maximum advantage of EBV oncogene-mediated tumor-promoting actions. Our data clearly reflect such tumor promotion, showing that deregulation of key proteins involved in apoptosis (BCL2-related protein A1 and Fas apoptotic inhibitory molecule), cell cycle checkpoints (AKIP, SCYL1, and NIN), and metastasis (matrix metalloproteinase 1) is closely correlated with the levels of EBV gene expression in NPC."}
{"STANDARD_NAME":"YIH_RESPONSE_TO_ARSENITE_C5","SYSTEMATIC_NAME":"M2023","ORGANISM":"Homo sapiens","PMID":"12016162","AUTHORS":"Yih LH,Peck K,Lee TC","EXACT_SOURCE":"Table 1: Cluster 5","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes in cluster 5: slowly down-regulated in HFW cells (fibroblast) by sodium arsenite [PubChem=26435].","DESCRIPTION_FULL":"Arsenic compounds are widely distributed and arsenic ingestion is associated with many human diseases, including blackfoot disease, atherosclerosis, and cancers. However, the underlying mechanism of arsenic toxicity is not understood. In human fibroblast cells (HFW), arsenite is known to induce oxidative damage, chromosome aberrations, cell cycle arrest, and aneuploidy, and the manifestation of these cellular responses is dependent on changes in gene expression which can be analyzed using the cDNA microarray technique. In this study, cDNA microarray membranes with 568 human genes were used to examine mRNA profile changes in HFW cells treated for 0 to 24 h with 5 microM sodium arsenite. On the basis of the mean value for three independent experiments, 133 target genes were selected for a 2 x 3 self-organizing map cluster analysis; 94 were found to be induced by arsenite treatment, whereas 39 were repressed. These genes were categorized as signal transduction, transcriptional regulation, cell cycle control, stress responses, proteolytic enzymes, and miscellaneous. Significant changes in the signaling-related and transcriptional regulation genes indicated that arsenite induces complex toxicopathological injury."}
{"STANDARD_NAME":"LY_AGING_OLD_UP","SYSTEMATIC_NAME":"M8910","ORGANISM":"Homo sapiens","PMID":"10741968","AUTHORS":"Ly DH,Lockhart DJ,Lerner RA,Schultz PG","EXACT_SOURCE":"Table 1, 2: Old Age: FoldD > 0","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in fibroblasts from old individuals, compared to those from young donors.","DESCRIPTION_FULL":"Messenger RNA levels were measured in actively dividing fibroblasts isolated from young, middle-age, and old-age humans and humans with progeria, a rare genetic disorder characterized by accelerated aging. Genes whose expression is associated with age-related phenotypes and diseases were identified. The data also suggest that an underlying mechanism of the aging process involves increasing errors in the mitotic machinery of dividing cells in the postreproductive stage of life. We propose that this dysfunction leads to chromosomal pathologies that result in misregulation of genes involved in the aging process."}
{"STANDARD_NAME":"NAKAMURA_ADIPOGENESIS_EARLY_UP","SYSTEMATIC_NAME":"M2024","ORGANISM":"Homo sapiens","PMID":"12646203","AUTHORS":"Nakamura T,Shiojima S,Hirai Y,Iwama T,Tsuruzoe N,Hirasawa A,Katsuma S,Tsujimoto G","EXACT_SOURCE":"Fig.2: % of change >80% at days 1,3 or 5","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in mesenchymal stem cells during early phase of adipogenesis, defined as days 1 to 5 of culturing with adipogenic hormones.","DESCRIPTION_FULL":"Human bone marrow mesenchymal stem cells (hMSCs) give rise to adipocytes in response to adipogenic hormones. An in-house cDNA microarray representing 3400 genes was employed to characterize the modulation of genes involved in this process. A total of 197 genes showed temporal gene expression changes during adipogenesis, including genes encoding transcriptional regulators and signaling molecules. Semi-quantitative RT-PCR analyses confirmed differential expression at the transcriptional level of several genes identified by cDNA microarray screening. Cluster analysis of the genes regulated during the late phase (from day 7 to day 14) of hMSC adipogenesis indicated that these changes are well correlated with data previously reported for murine preadipocytes. However, during the early phase (day 1-day 5), the modulations of genes differed from those reported for the preadipocytes. These data provide novel information on the molecular mechanisms required for lineage commitment and maturation accompanying adipogenesis of hMSC."}
{"STANDARD_NAME":"NAKAMURA_ADIPOGENESIS_LATE_UP","SYSTEMATIC_NAME":"M2026","ORGANISM":"Homo sapiens","PMID":"12646203","AUTHORS":"Nakamura T,Shiojima S,Hirai Y,Iwama T,Tsuruzoe N,Hirasawa A,Katsuma S,Tsujimoto G","EXACT_SOURCE":"Fig.2: % of change >80% at days 7,9 or 14","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in mesenchymal stem cells during late phase of adipogenesis, defined as days 7 to 14 of culturing with adipogenic hormones.","DESCRIPTION_FULL":"Human bone marrow mesenchymal stem cells (hMSCs) give rise to adipocytes in response to adipogenic hormones. An in-house cDNA microarray representing 3400 genes was employed to characterize the modulation of genes involved in this process. A total of 197 genes showed temporal gene expression changes during adipogenesis, including genes encoding transcriptional regulators and signaling molecules. Semi-quantitative RT-PCR analyses confirmed differential expression at the transcriptional level of several genes identified by cDNA microarray screening. Cluster analysis of the genes regulated during the late phase (from day 7 to day 14) of hMSC adipogenesis indicated that these changes are well correlated with data previously reported for murine preadipocytes. However, during the early phase (day 1-day 5), the modulations of genes differed from those reported for the preadipocytes. These data provide novel information on the molecular mechanisms required for lineage commitment and maturation accompanying adipogenesis of hMSC."}
{"STANDARD_NAME":"RAMPON_ENRICHED_LEARNING_ENVIRONMENT_EARLY_DN","SYSTEMATIC_NAME":"M2031","ORGANISM":"Mus musculus","PMID":"11070096","AUTHORS":"Rampon C,Jiang CH,Dong H,Tang YP,Lockhart DJ,Schultz PG,Tsien JZ,Hu Y","EXACT_SOURCE":"Table 1: 3 h or 6 h < 0","CHIP":"AFFY_Mu11K","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in the brain cortex of mice that were exposed to an enriched learning environment for one day.","DESCRIPTION_FULL":"An enriched environment is known to promote structural changes in the brain and to enhance learning and memory performance in rodents [Hebb, D. O. (1947) Am. Psychol. 2, 306-307]. To better understand the molecular mechanisms underlying these experience-dependent cognitive changes, we have used high-density oligonucleotide microarrays to analyze gene expression in the brain. Expression of a large number of genes changes in response to enrichment training, many of which can be linked to neuronal structure, synaptic plasticity, and transmission. A number of these genes may play important roles in modulating learning and memory capacity."}
{"STANDARD_NAME":"VERRECCHIA_RESPONSE_TO_TGFB1_C6","SYSTEMATIC_NAME":"M15374","ORGANISM":"Homo sapiens","PMID":"11279127","AUTHORS":"Verrecchia F,Chu ML,Mauviel A","EXACT_SOURCE":"Table 1: Cluster 6","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster 6: ECM related genes up-regulated in dermal fibroblasts later than 30 min after TGFB1 [GeneID=7040] addition; slowly increased up to 120 min time point, then reached a plateau.","DESCRIPTION_FULL":"Despite major advances in the understanding of the intimate mechanisms of transforming growth factor-beta (TGF-beta) signaling through the Smad pathway, little progress has been made in the identification of direct target genes. In this report, using cDNA microarrays, we have focussed our attention on the characterization of extracellular matrix-related genes rapidly induced by TGF-beta in human dermal fibroblasts and attempted to identify the ones whose up-regulation by TGF-beta is Smad-mediated. For a gene to qualify as a direct Smad target, we postulated that it had to meet the following criteria: (1) rapid (30 min) and significant (at least 2-fold) elevation of steady-state mRNA levels upon TGF-beta stimulation, (2) activation of the promoter by both exogenous TGF-beta and co-transfected Smad3 expression vector, (3) up-regulation of promoter activity by TGF-beta blocked by both dominant-negative Smad3 and inhibitory Smad7 expression vectors, and (4) promoter transactivation by TGF-beta not possible in Smad3(-/-) mouse embryo fibroblasts. Using this stringent approach, we have identified COL1A2, COL3A1, COL6A1, COL6A3, and tissue inhibitor of metalloproteases-1 as definite TGF-beta/Smad3 targets. Extrapolation of this approach to other extracellular matrix-related gene promoters also identified COL1A1 and COL5A2, but not COL6A2, as novel Smad targets. Together, these results represent a significant step toward the identification of novel, early-induced Smad-dependent TGF-beta target genes in fibroblasts."}
{"STANDARD_NAME":"BAUS_TFF2_TARGETS_DN","SYSTEMATIC_NAME":"M2036","ORGANISM":"Mus musculus","PMID":"16121031","AUTHORS":"Baus-Loncar M,Schmid J,Lalani el-N,Rosewell I,Goodlad RA,Stamp GW,Blin N,Kayademir T","EXACT_SOURCE":"Fig. 2: green","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in pyloric atrium with knockout of TFF2 [GeneID=7032].","DESCRIPTION_FULL":"BACKGROUND AND AIMS: The gastrointestinal trefoil factor family (TFF1, TFF2, TFF3) peptides are considered to play an important role in maintaining the integrity of the mucosa. The physiological role of TFF2 in the protection of the GI tract was investigated in TFF2 deficiency. METHODS: TFF2-/- mice were generated and differential expression of various genes was assessed by using a mouse expression microarray, quantitative real time PCR, Northern blots or immunohistochemistry. RESULTS: On an mRNA level we found 128 differentially expressed genes. We observed modulation of a number of crucial genes involved in innate and adaptive immunity in the TFF2-/- mice. Expression of proteasomal subunits genes (LMP2, LMP7 and PSMB5) involved in the MHC class I presentation pathway were modulated indicating the formation of immunoproteasomes improving antigen presentation. Expression of one subunit of a transporter (TAP1) responsible for importing degraded antigens into ER was increased, similarly to the BAG2 gene that modulates chaperone activity in ER helping proper loading on MHC class I molecules. Several mouse defensin (cryptdin) genes coding important intestinal microbicidal proteins were up-regulated as a consequence of TFF2 deficiency. Normally moderate expression of TFF3 was highly increased in stomach."}
{"STANDARD_NAME":"KAMMINGA_SENESCENCE","SYSTEMATIC_NAME":"M2037","ORGANISM":"Mus musculus","PMID":"16293602","AUTHORS":"Kamminga LM,Bystrykh LV,de Boer A,Houwer S,Douma J,Weersing E,Dontje B,de Haan G","EXACT_SOURCE":"Table 1S","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated on serial passage of MEF cells (embryonic fibroblast).","DESCRIPTION_FULL":"The molecular mechanism responsible for a decline of stem cell functioning after replicative stress remains unknown. We used mouse embryonic fibroblasts (MEFs) and hematopoietic stem cells (HSCs) to identify genes involved in the process of cellular aging. In proliferating and senescent MEFs one of the most differentially expressed transcripts was Enhancer of zeste homolog 2 (Ezh2), a Polycomb group protein (PcG) involved in histone methylation and deacetylation. Retroviral overexpression of Ezh2 in MEFs resulted in bypassing of the senescence program. More importantly, whereas normal HSCs were rapidly exhausted after serial transplantations, overexpression of Ezh2 completely conserved long-term repopulating potential. Animals that were reconstituted with 3 times serially transplanted control bone marrow cells all died due to hematopoietic failure. In contrast, similarly transplanted Ezh2-overexpressing stem cells restored stem cell quality to normal levels. In a genetic genomics screen, we identified novel putative Ezh2 target or partner stem cell genes that are associated with chromatin modification. Our data suggest that stabilization of the chromatin structure preserves HSC potential after replicative stress."}
{"STANDARD_NAME":"HO_LIVER_CANCER_VASCULAR_INVASION","SYSTEMATIC_NAME":"M8773","ORGANISM":"Homo sapiens","PMID":"17009164","AUTHORS":"Ho MC,Lin JJ,Chen CN,Chen CC,Lee H,Yang CY,Ni YH,Chang KJ,Hsu HC,Hsieh FJ,Lee PH","EXACT_SOURCE":"Fig. 2","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Gene expression signature of vascular invasion of hepatocellular carcinoma (HCC).","DESCRIPTION_FULL":"BACKGROUND: Recurrence after hepatocellular carcinoma (HCC) resection is the major obstacle to improved survival. The presence of vascular invasion (VI) in pathology specimens is a well-known unfavorable prognostic factor for HCC recurrence. Though some VI-related genes have been reported, their association with recurrence-free survival is not known. We hypothesized that a gene expression profile for VI can predict the recurrence of HCC after liver resection. METHODS: Eighteen patients receiving complete HCC resection were included as a training group. Genome-wide gene expression profile was obtained for each tumor using a microarray technique. Datasets were subjected to clustering analysis supervised by the presence or absence of VI to obtain 14 discriminative genes. We then applied those genes to execute pattern recognition using the k-Nearest Neighbor (KNN) classification method, and the best model for this VI gene signature to predict recurrence-free survival in the training group was obtained. The resulting model was then tested in an independent test group of 35 patients. RESULTS: A 14-gene profile was extracted which could accurately separate ten patients with VI and eight patients without VI in the training group. In the test group, significant difference in disease-free survival was found between patients predicted to have and not to have recurrence (P = .02823). In patients with stage_I disease, this model can also predict outcomes (P = .000205). CONCLUSIONS: Using the 14-gene expression profile extracted from microarrays based on the presence of VI can effectively predict recurrence after HCC resection. This approach might facilitate personalized medicine for HCC patients after surgical resection."}
{"STANDARD_NAME":"GERHOLD_RESPONSE_TO_TZD_UP","SYSTEMATIC_NAME":"M2040","ORGANISM":"Mus musculus","PMID":"12021175","AUTHORS":"Gerhold DL,Liu F,Jiang G,Li Z,Xu J,Lu M,Sachs JR,Bagchi A,Fridman A,Holder DJ,Doebber TW,Berger J,Elbrecht A,Moller DE,Zhang BB","EXACT_SOURCE":"Table 3: clusters 11, 17, 32","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in 3T3-L1 cells (fibroblast) induced to differentiate to mature adipocytes and then treated with a TZD derivative AD-5075 [PubChem=128440], a PPARG [GeneID=5468] activator.","DESCRIPTION_FULL":"PPAR gamma is an adipocyte-specific nuclear hormone receptor. Agonists of PPAR gamma, such as thiazolidinediones (TZDs), promote adipocyte differentiation and have insulin-sensitizing effects in animals and diabetic patients. Affymetrix oligonucleotide arrays representing 6347 genes were employed to profile the gene expression responses of mature 3T3-L1 adipocytes and differentiating preadipocytes to a TZD PPAR gamma agonist in vitro. The expression of 579 genes was significantly up- or down-regulated by more than 1.5-fold during differentiation and/or by treatment with TZD, and these genes were organized into 32 clusters that demonstrated concerted changes in expression of genes controlling cell growth or lipid metabolism. Quantitative PCR was employed to further characterize gene expression and led to the identification of beta-catenin as a new PPAR gamma target gene. Both mRNA and protein levels for beta-catenin were down-regulated in 3T3-L1 adipocytes compared with fibroblasts and were further decreased by treatment of adipocytes with PPAR gamma agonists. Treatment of db/db mice with a PPAR gamma agonist also resulted in reduction of beta-catenin mRNA levels in adipose tissue. These results suggest that beta-catenin plays an important role in the regulation of adipogenesis. Thus, the transcriptional patterns revealed in this study further the understanding of adipogenesis process and the function of PPAR gamma activation."}
{"STANDARD_NAME":"GERHOLD_RESPONSE_TO_TZD_DN","SYSTEMATIC_NAME":"M2041","ORGANISM":"Mus musculus","PMID":"12021175","AUTHORS":"Gerhold DL,Liu F,Jiang G,Li Z,Xu J,Lu M,Sachs JR,Bagchi A,Fridman A,Holder DJ,Doebber TW,Berger J,Elbrecht A,Moller DE,Zhang BB","EXACT_SOURCE":"Table 3: clusters 1,8,9,18-20,23,27","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in 3T3-L1 cells (fibroblast) induced to differentiate to mature adipocytes and then treated with a TZD derivative AD-5075 [PubChem=128440], a PPARG [GeneID=5468] activator.","DESCRIPTION_FULL":"PPAR gamma is an adipocyte-specific nuclear hormone receptor. Agonists of PPAR gamma, such as thiazolidinediones (TZDs), promote adipocyte differentiation and have insulin-sensitizing effects in animals and diabetic patients. Affymetrix oligonucleotide arrays representing 6347 genes were employed to profile the gene expression responses of mature 3T3-L1 adipocytes and differentiating preadipocytes to a TZD PPAR gamma agonist in vitro. The expression of 579 genes was significantly up- or down-regulated by more than 1.5-fold during differentiation and/or by treatment with TZD, and these genes were organized into 32 clusters that demonstrated concerted changes in expression of genes controlling cell growth or lipid metabolism. Quantitative PCR was employed to further characterize gene expression and led to the identification of beta-catenin as a new PPAR gamma target gene. Both mRNA and protein levels for beta-catenin were down-regulated in 3T3-L1 adipocytes compared with fibroblasts and were further decreased by treatment of adipocytes with PPAR gamma agonists. Treatment of db/db mice with a PPAR gamma agonist also resulted in reduction of beta-catenin mRNA levels in adipose tissue. These results suggest that beta-catenin plays an important role in the regulation of adipogenesis. Thus, the transcriptional patterns revealed in this study further the understanding of adipogenesis process and the function of PPAR gamma activation."}
{"STANDARD_NAME":"MARIADASON_RESPONSE_TO_BUTYRATE_CURCUMIN_SULINDAC_TSA_1","SYSTEMATIC_NAME":"M2045","ORGANISM":"Homo sapiens","PMID":"10969808","AUTHORS":"Mariadason JM,Corner GA,Augenlicht LH","EXACT_SOURCE":"Suppl. Fle 2: cluster 1","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster 1: genes up-regulated in SW260 cells (colon cancer) by sodium butyrate, curcumin, sulindac and TSA [PubChem=5222465;969516;5352;5562].","DESCRIPTION_FULL":"The short-chain fatty acid butyrate, produced by microbial fermentation of dietary fiber in the large intestine, is a physiological regulator of major pathways of colonic epithelial cell maturation: cell cycle arrest, lineage-specific differentiation, and apoptosis. Microarray analysis of 8,063 sequences demonstrated a complex cascade of reprogramming of SW620 colonic epithelial cells upon treatment with butyrate characterized by the progressive recruitment of gene sets as a function of time. Comparison with the effects of trichostatin A, in conjunction with differences in the kinetics of alteration of histone acetylation induced by butyrate and trichostatin A, identified subsets of induced and repressed genes likely coordinately regulated by altered histone acetylation. The butyrate response was also compared in detail with that of sulindac, a nonsteroidal anti-inflammatory drug with significant chemopreventive activity for colon cancer, and curcumin, a component of mustard and curry structurally and functionally related to sulindac that also has chemopreventive activity. Although gene clusters were identified that showed similar responses to butyrate and sulindac, the data were characterized by the extensive differences in the effects of the two agents. This was striking for functional classes of genes involved in signaling pathways and in cell cycle progression, although butyrate and sulindac induce a similar G0-G1 arrest, elevation of beta-catenin-Tcf signaling, and apoptotic cascade. As regards cell cycle arrest, the underlying mechanism in response to butyrate was most similar to that of the Caco-2 cell line that had spontaneously undergone a G0-G1 arrest and least similar to the G2-M arrest stimulated by curcumin. Thus, high-throughput microarray analysis of gene expression profiles can be used to characterize and distinguish the mechanisms of response of colonic epithelial cells to physiological and pharmacological inducers of cell maturation. This has important implications for characterization of chemopreventive agents and recognition of potential toxicity and synergies. The data bases, gene clusters, and analyses are available at http:// sequence.aecom.yu.edu/genome/."}
{"STANDARD_NAME":"MARIADASON_RESPONSE_TO_BUTYRATE_CURCUMIN_SULINDAC_TSA_2","SYSTEMATIC_NAME":"M2046","ORGANISM":"Homo sapiens","PMID":"10969808","AUTHORS":"Mariadason JM,Corner GA,Augenlicht LH","EXACT_SOURCE":"Suppl. File 2: cluster 2","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster 2: genes up-regulated in SW260 cells (colon cancer) by sodium butyrate, curcumin, sulindac and TSA [PubChem=5222465;969516;5352;5562].","DESCRIPTION_FULL":"The short-chain fatty acid butyrate, produced by microbial fermentation of dietary fiber in the large intestine, is a physiological regulator of major pathways of colonic epithelial cell maturation: cell cycle arrest, lineage-specific differentiation, and apoptosis. Microarray analysis of 8,063 sequences demonstrated a complex cascade of reprogramming of SW620 colonic epithelial cells upon treatment with butyrate characterized by the progressive recruitment of gene sets as a function of time. Comparison with the effects of trichostatin A, in conjunction with differences in the kinetics of alteration of histone acetylation induced by butyrate and trichostatin A, identified subsets of induced and repressed genes likely coordinately regulated by altered histone acetylation. The butyrate response was also compared in detail with that of sulindac, a nonsteroidal anti-inflammatory drug with significant chemopreventive activity for colon cancer, and curcumin, a component of mustard and curry structurally and functionally related to sulindac that also has chemopreventive activity. Although gene clusters were identified that showed similar responses to butyrate and sulindac, the data were characterized by the extensive differences in the effects of the two agents. This was striking for functional classes of genes involved in signaling pathways and in cell cycle progression, although butyrate and sulindac induce a similar G0-G1 arrest, elevation of beta-catenin-Tcf signaling, and apoptotic cascade. As regards cell cycle arrest, the underlying mechanism in response to butyrate was most similar to that of the Caco-2 cell line that had spontaneously undergone a G0-G1 arrest and least similar to the G2-M arrest stimulated by curcumin. Thus, high-throughput microarray analysis of gene expression profiles can be used to characterize and distinguish the mechanisms of response of colonic epithelial cells to physiological and pharmacological inducers of cell maturation. This has important implications for characterization of chemopreventive agents and recognition of potential toxicity and synergies. The data bases, gene clusters, and analyses are available at http:// sequence.aecom.yu.edu/genome/."}
{"STANDARD_NAME":"MURAKAMI_UV_RESPONSE_1HR_UP","SYSTEMATIC_NAME":"M13308","ORGANISM":"Homo sapiens","PMID":"11532376","AUTHORS":"Murakami T,Fujimoto M,Ohtsuki M,Nakagawa H","EXACT_SOURCE":"Table 1: 1 h ratio > 1.2","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in primary keratinocytes at 1 h after UVB irradiation.","DESCRIPTION_FULL":"Ultraviolet B irradiation initiates and promotes skin cancers, photo-aging, and immune suppression. In order to elucidate the effect of these processes at the level of gene expression, we used cDNA microarray technology to examine the effect of ultraviolet B irradiation on 588 cancer-related genes in human keratinocytes at 1, 6, and 24 h post-irradiation with a mildly cytotoxic dose of ultraviolet B (170 mJ/cm(2)). The viability of the irradiated keratinocytes was 75% at 24 h post-irradiation. Various cytokeratins and transcription factors were up-regulated within 1 h post-irradiation. After 6 h, expression of a variety of genes related to growth regulation (e.g. p21(WAF1), notch 4, and smoothened), apoptosis (e.g. caspase 10, hTRIP, and CRAF1), DNA repair (ERCC1, XRCC1), cytokines (e.g. IL-6, IL-13, TGF-beta, and endothelin 2), and cell adhesion (e.g. RhoE, and RhoGDI) were altered in human keratinocytes. These data suggest the changes in a cascade of gene expression in human keratinocytes occurring within 24 h after UVB exposure. Although the roles of these cellular genes after UVB-irradiation remain to be elucidated, microarray analysis may provide a new view of gene expression in epidermal keratinocytes following UVB exposure."}
{"STANDARD_NAME":"MURAKAMI_UV_RESPONSE_1HR_DN","SYSTEMATIC_NAME":"M9172","ORGANISM":"Homo sapiens","PMID":"11532376","AUTHORS":"Murakami T,Fujimoto M,Ohtsuki M,Nakagawa H","EXACT_SOURCE":"Table 1: 1 h ratio < 0.8","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in primary keratinocytes at 1 h after UVB irradiation.","DESCRIPTION_FULL":"Ultraviolet B irradiation initiates and promotes skin cancers, photo-aging, and immune suppression. In order to elucidate the effect of these processes at the level of gene expression, we used cDNA microarray technology to examine the effect of ultraviolet B irradiation on 588 cancer-related genes in human keratinocytes at 1, 6, and 24 h post-irradiation with a mildly cytotoxic dose of ultraviolet B (170 mJ/cm(2)). The viability of the irradiated keratinocytes was 75% at 24 h post-irradiation. Various cytokeratins and transcription factors were up-regulated within 1 h post-irradiation. After 6 h, expression of a variety of genes related to growth regulation (e.g. p21(WAF1), notch 4, and smoothened), apoptosis (e.g. caspase 10, hTRIP, and CRAF1), DNA repair (ERCC1, XRCC1), cytokines (e.g. IL-6, IL-13, TGF-beta, and endothelin 2), and cell adhesion (e.g. RhoE, and RhoGDI) were altered in human keratinocytes. These data suggest the changes in a cascade of gene expression in human keratinocytes occurring within 24 h after UVB exposure. Although the roles of these cellular genes after UVB-irradiation remain to be elucidated, microarray analysis may provide a new view of gene expression in epidermal keratinocytes following UVB exposure."}
{"STANDARD_NAME":"KYNG_RESPONSE_TO_H2O2_VIA_ERCC6_UP","SYSTEMATIC_NAME":"M2047","ORGANISM":"Homo sapiens","PMID":"12606941","AUTHORS":"Kyng KJ,May A,Brosh RM Jr,Cheng WH,Chen C,Becker KG,Bohr VA","EXACT_SOURCE":"Table 2: Cluster 1","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in response to hydorgen peroxyde [PubChem=784] in CS-B cells (Cockaine syndrome fibroblast, CS) with defficient ERCC6 [GeneID=2074].","DESCRIPTION_FULL":"Cockayne syndrome (CS) is a human hereditary disease belonging to the group of segmental progerias, and the clinical phenotype is characterized by postnatal growth failure, neurological dysfunction, cachetic dwarfism, photosensitivity, sensorineural hearing loss, and retinal degradation. CS-B cells are defective in transcription-coupled DNA repair, base excision repair, transcription, and chromatin structural organization. Using array analysis, we have examined the expression profile in CS complementation group B (CS-B) fibroblasts after exposure to oxidative stress (H2O2) before and after complete complementation with the CSB gene. The following isogenic cell lines were compared: CS-B cells (CS-B null), CS-B cells complemented with wild-type CSB (CS-B wt), and a stably transformed cell line with a point mutation in the ATPase domain of CSB (CS-B ATPase mutant). In the wt rescued cells, we detected significant induction (two-fold) of 112 genes out of the 6912 analysed. The patterns suggested an induction or upregulation of genes involved in several DNA metabolic processes including DNA repair, transcription, and signal transduction. In both CS-B mutant cell lines, we found a general deficiency in transcription after oxidative stress, suggesting that the CSB protein influenced the regulation of transcription of certain genes. Of the 6912 genes, 122 were differentially regulated by more than two-fold. Evidently, the ATPase function of CSB is biologically important as the deficiencies seen in the ATPase mutant cells are very similar to those observed in the CS-B-null cells. Some major defects are in the transcription of genes involved in DNA repair, signal transduction, and ribosomal functions."}
{"STANDARD_NAME":"KYNG_RESPONSE_TO_H2O2_VIA_ERCC6_DN","SYSTEMATIC_NAME":"M2048","ORGANISM":"Homo sapiens","PMID":"12606941","AUTHORS":"Kyng KJ,May A,Brosh RM Jr,Cheng WH,Chen C,Becker KG,Bohr VA","EXACT_SOURCE":"Table 2: Clusters 2 & 3","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in response to hydorgen peroxyde [PubChem=784] in CS-B cells (Cockaine syndrome fibroblast, CS) with defficient ERCC6 [GeneID=2074].","DESCRIPTION_FULL":"Cockayne syndrome (CS) is a human hereditary disease belonging to the group of segmental progerias, and the clinical phenotype is characterized by postnatal growth failure, neurological dysfunction, cachetic dwarfism, photosensitivity, sensorineural hearing loss, and retinal degradation. CS-B cells are defective in transcription-coupled DNA repair, base excision repair, transcription, and chromatin structural organization. Using array analysis, we have examined the expression profile in CS complementation group B (CS-B) fibroblasts after exposure to oxidative stress (H2O2) before and after complete complementation with the CSB gene. The following isogenic cell lines were compared: CS-B cells (CS-B null), CS-B cells complemented with wild-type CSB (CS-B wt), and a stably transformed cell line with a point mutation in the ATPase domain of CSB (CS-B ATPase mutant). In the wt rescued cells, we detected significant induction (two-fold) of 112 genes out of the 6912 analysed. The patterns suggested an induction or upregulation of genes involved in several DNA metabolic processes including DNA repair, transcription, and signal transduction. In both CS-B mutant cell lines, we found a general deficiency in transcription after oxidative stress, suggesting that the CSB protein influenced the regulation of transcription of certain genes. Of the 6912 genes, 122 were differentially regulated by more than two-fold. Evidently, the ATPase function of CSB is biologically important as the deficiencies seen in the ATPase mutant cells are very similar to those observed in the CS-B-null cells. Some major defects are in the transcription of genes involved in DNA repair, signal transduction, and ribosomal functions."}
{"STANDARD_NAME":"VISALA_AGING_LYMPHOCYTE_UP","SYSTEMATIC_NAME":"M2050","ORGANISM":"Homo sapiens","PMID":"12618007","AUTHORS":"Visala Rao D,Boyle GM,Parsons PG,Watson K,Jones GL","EXACT_SOURCE":"Table 3","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in peripheral lymphocytes from old individuals compared to those from young donors.","DESCRIPTION_FULL":"Ageing results in a progressive, intrinsic and generalised imbalance of the control of regulatory systems. A key manifestation of this complex biological process includes the attenuation of the universal stress response. Here we provide the first global assessment of the ageing process as it affects the heat shock response, utilising human peripheral lymphocytes and cDNA microarray analysis. The genomic approach employed in our preliminary study was supplemented with a proteomic approach. In addition, the current study correlates the in vivo total antioxidant status with the age-related differential gene expression as well as the translational kinetics of heat shock proteins (hsps). Most of the genes encoding stress response proteins on the 4224 element microarray used in this study were significantly elevated after heat shock treatment of lymphocytes obtained from both young and old individuals albeit to a greater extent in the young. Cell signaling and signal transduction genes as well as some oxidoreductases showed varied response. Results from translational kinetics of induction of major hsps, from 0 to 24 h recovery period were broadly consistent with the differential expression of HSC 70 and HSP 40 genes. Total antioxidant levels in plasma from old individuals were found to be significantly lower by comparison with young, in agreement with the widely acknowledged role of oxidant homeostasis in the ageing process."}
{"STANDARD_NAME":"DAZARD_UV_RESPONSE_CLUSTER_G24","SYSTEMATIC_NAME":"M5002","ORGANISM":"Homo sapiens","PMID":"12771951","AUTHORS":"Dazard JE,Gal H,Amariglio N,Rechavi G,Domany E,Givol D","EXACT_SOURCE":"Fig 6d","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster G24: genes induced in NHEK (normal keratinocyte) but not in SCC12B2 cells (squamous cell carcinoma) by UV-B radiation.","DESCRIPTION_FULL":"To gain insight into the transformation of epidermal cells into squamous carcinoma cells (SCC), we compared the response to ultraviolet B radiation (UVB) of normal human epidermal keratinocytes (NHEK) versus their transformed counterpart, SCC, using biological and molecular profiling. DNA microarray analyses (Affymetrix), approximately 12000 genes) indicated that the major group of upregulated genes in keratinocytes fall into three categories: (i). antiapoptotic and cell survival factors, including chemokines of the CXC/CC subfamilies (e.g. IL-8, GRO-1, -2, -3, SCYA20), growth factors (e.g. HB-EGF, CTGF, INSL-4), and proinflammatory mediators (e.g. COX-2, S100A9), (ii). DNA repair-related genes (e.g. GADD45, ERCC, BTG-1, Histones), and (iii). ECM proteases (MMP-1, -10). The major downregulated genes are DeltaNp63 and PUMILIO, two potential markers for the maintenance of keratinocyte stem cells. NHEK were found to be more resistant than SCC to UVB-induced apoptosis and this resistance was mainly because of the protection from cell death by secreted survival factors, since it can be transferred from NHEK to SCC cultures by the conditioned medium. Whereas the response of keratinocytes to UVB involved regulation of key checkpoint genes (p53, MDM2, p21(Cip1), DeltaNp63), as well as antiapoptotic and DNA repair-related genes - no or little regulation of these genes was observed in SCC. The effect of UVB on NHEK and SCC resulted in upregulation of 251 and 127 genes, respectively, and downregulation of 322 genes in NHEK and 117 genes in SCC. To further analyse these changes, we used a novel unsupervised coupled two-way clustering method that allowed the identification of groups of genes that clearly partitioned keratinocytes from SCC, including a group of genes whose constitutive expression levels were similar before UVB. This allowed the identification of discriminating genes not otherwise revealed by simple static comparison in the absence of UVB irradiation. The implication of the changes in gene profile in keratinocytes for epithelial cancer is discussed."}
{"STANDARD_NAME":"DASU_IL6_SIGNALING_UP","SYSTEMATIC_NAME":"M14344","ORGANISM":"Homo sapiens","PMID":"15095275","AUTHORS":"Dasu MR,Hawkins HK,Barrow RE,Xue H,Herndon DN","EXACT_SOURCE":"Table 4: Fold change > 1.2","CHIP":"AFFY_HG_U95","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in normal fibroblasts in response to IL6 [GeneID=3569].","DESCRIPTION_FULL":"The structural rearrangement of collagen fibres in hypertrophic scar causes abnormal contracture, low tensile strength, and raised scars, which cause functional impairment and disfigurement. It is hypothesized that changes in the genes of cytokines, extracellular matrix proteins, and proteins regulating programmed cell death are related to hypertrophic scar formation. To test this hypothesis, fibroblasts were cultured from hypertrophic scars and their response to interleukin-6 (IL-6) stimulation was studied by defining their gene expression profiles. Affymetrix gene chip analysis was used to identify up- or down-regulation in the 12 625 genes present in the affymetrix array. RT-PCR and ELISA assays were used to validate microarray expression profiles further. Comparison of gene profiles showed an increase of 12 genes in hypertrophic scar fibroblasts compared with normal skin fibroblasts, while the expression of 14 genes decreased. Thirty-three genes were affected by IL-6 treatment in the hypertrophic scar fibroblasts, while 57 genes were affected in normal skin fibroblasts. Messenger RNA to beta-actin ratios for matrix metalloproteinase-1 (MMP-1) and MMP-3 were increased with IL-6 in normal skin fibroblasts from 2.43 +/- 0.06 to 5.50 +/- 0.45 and from 0.75 +/- 0.09 to 1.98 +/- 0.01, respectively. No change in these matrix metalloproteinases could be shown with IL-6 stimulation in hypertrophic scar fibroblasts. Secreted protein levels of pro-MMP-1 and MMP-3 were elevated in the supernatants from normal skin fibroblasts from 2.00 +/- 0.09 and 1.72 +/- 0.10 ng/ml to 4.60 +/- 0.12 and 3.41 +/- 0.20 ng/ml, respectively, after treatment with IL-6 (p < 0.05). No changes were observed in hypertrophic scar fibroblasts treated with IL-6. Values are means +/- SEM. The absence of any up-regulation of MMP-1 and MMP-3 in hypertrophic scar fibroblasts, in response to IL-6, suggests that suppression of matrix metalloproteinases may play a role in the excessive accumulation of collagen formed in hypertrophic scars. While the pathogenesis of abnormal hypertrophic scars remains poorly understood, the use of gene expression arrays may prove helpful in identifying the mechanisms responsible for this type of abnormal scar formation and in formulating an effective therapeutic protocol."}
{"STANDARD_NAME":"BANDRES_RESPONSE_TO_CARMUSTIN_MGMT_24HR_UP","SYSTEMATIC_NAME":"M15132","ORGANISM":"Homo sapiens","PMID":"15980968","AUTHORS":"Bandres E,Andion E,Escalada A,Honorato B,Catalan V,Cubedo E,Cordeu L,Garcia F,Zarate R,Zabalegui N,Garcia-Foncillas J","EXACT_SOURCE":"Table 3: 24 h up-regulated","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in T98G cells (glioma, express MGMT [GeneID=4255]) by carmustine [PubChem=2578] at 24 h.","DESCRIPTION_FULL":"Chemotherapy with the alkylating agent BCNU (1,3-bis (2-chloroethyl)-1-nitrosourea) is the most commonly used chemotherapeutic agent for gliomas. However, the usefulness of this agent is limited because tumor cell resistance to BCNU is frequently found in clinical brain tumor therapy. The O6-methylguanine-DNA methyltransferase protein (MGMT) reverses alkylation at the O6 position of guanine and we have reported the role of MGMT in the response of brain tumors to alkylating agents. However, the different mechanisms underlying the patterns related to MGMT remain unclear. To better understand the molecular mechanism by which BCNU exerts its effect in glioma cell lines according MGMT expression, we used microarray technology to interrogate 3800 known genes and determine the gene expression profiles altered by BCNU treatment. Our results showed that treatment with BCNU alters the expression of a diverse group of genes in a time-dependent manner. A subset of gene changes was found common in both glioma cell lines and other subset is specific of each cell line. After 24 h of BCNU treatment, up-regulation of transcription factors involved in the nucleation of both RNA polymerase II and III transcription initiation complexes was reported. Interestingly, BCNU promoted the expression of actin-dependent regulators of chromatin. Similar effects were found with higher BCNU doses in MGMT+ cell line showing a similar mechanism that in MGMT-deficient cell with standard doses. Our data suggest that human glioma cell lines treated with BCNU, independently of MGMT expression, show changes in the expression of cell cycle and survival-related genes interfering the transcription mechanisms and the chromatin regulation."}
{"STANDARD_NAME":"HOFFMAN_CLOCK_TARGETS_DN","SYSTEMATIC_NAME":"M2065","ORGANISM":"Homo sapiens","PMID":"20124474","AUTHORS":"Hoffman AE,Yi CH,Zheng T,Stevens RG,Leaderer D,Zhang Y,Holford TR,Hansen J,Paulson J,Zhu Y","GEOID":"GSE17766","EXACT_SOURCE":"Table 2: Fold change < 0","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in MCF7 cells (breast cancer) upon knockdown of CLOCK [GeneID=9575] by RNAi that also belong to the highest confidence network (according to Ingenuity Pathway Analysis).","DESCRIPTION_FULL":"The transcription factors responsible for maintaining circadian rhythm influence a variety of biological processes. Recently, it has been suggested that the core circadian genes may play a role in breast tumorigenesis, possibly by influencing hormone regulation or other pathways relevant to cancer. To evaluate this hypothesis, we conducted a genetic and epigenetic association study, as well as a transcriptional profiling array and a pathway-based network analysis. We report significant correlations between single nucleotide polymorphisms associated with the central circadian regulator CLOCK and breast cancer risk, with apparent effect modification by estrogen receptor/progesterone receptor status. We also found that hypermethylation in the CLOCK promoter reduced the risk of breast cancer, and lower levels of CLOCK expression were documented in healthy controls relative to normal or tumor tissue from patients with breast cancer. Finally, we silenced CLOCK in vitro and performed a whole-genome expression microarray and pathway analysis, which identified a cancer-relevant network of transcripts with altered expression following CLOCK gene knockdown. Our findings support the hypothesis that circadian genes influence tumorigenesis, and identify a set of circadian gene variants as candidate breast cancer susceptibility biomarkers."}
{"STANDARD_NAME":"JIANG_HYPOXIA_VIA_VHL","SYSTEMATIC_NAME":"M2522","ORGANISM":"Homo sapiens","PMID":"12692265","AUTHORS":"Jiang Y,Zhang W,Kondo K,Klco JM,St Martin TB,Dufault MR,Madden SL,Kaelin WG Jr,Nacht M","EXACT_SOURCE":"Table 2S: 38 genes","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in 786-0 cells (renal carcinoma, RCC) by the loss of VHL [GeneID=7428] and in response to hypoxia.","DESCRIPTION_FULL":"The von Hippel-Lindau tumor suppressor, pVHL, is a key player in one of the best characterized hypoxia signaling pathways, the VHL-hypoxia-inducible factor (VHL-HIF) pathway. To better understand the role of VHL in the hypoxia signaling pathways of tumor cells, we used serial analysis of gene expression (SAGE) to investigate hypoxia-regulated gene expression in renal carcinoma cells (786-0), with and without VHL. The gene expression profiles of the cancer cells were compared to SAGE profiles from normal renal proximal tubule cells grown under both normoxia and hypoxia. The data suggest that the role of VHL as a tumor suppressor may be more complex than previously thought. Further, the data reveal that renal carcinoma cells have evolved an alternative hypoxia signaling pathway(s) compared with normal renal cells. These alternative hypoxia pathways demonstrate VHL-dependent and VHL-independent regulation. The genes involved in such pathways include those with potential importance in the physiological and pathological regulation of tumor growth and angiogenesis. Some of the genes identified as showing overexpression in the cancer cells, particularly those encoding secreted or membrane-bound proteins, could be potential biomarkers for tumors or targets for rational therapeutics that are dependent on VHL status."}
{"STANDARD_NAME":"ONGUSAHA_BRCA1_TARGETS_UP","SYSTEMATIC_NAME":"M2067","ORGANISM":"Mus musculus","PMID":"12802282","AUTHORS":"Ongusaha PP,Ouchi T,Kim KT,Nytko E,Kwak JC,Duda RB,Deng CX,Lee SW","EXACT_SOURCE":"Table 2: Upregulated genes","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in MEF cells (embryonic fibroblast) lacking TP53 and BRCA1 [GeneID=7157;672] by expression of BRCA1.","DESCRIPTION_FULL":"The tumor suppressor protein BRCA1 has been shown to enhance p53 transcription, whereas activated p53 represses BRCA1 transcription. To further understand the functional interaction of these proteins, we investigated the role of BRCA1 in p53-induced phenotypes. We found that BRCA1 when subjected to forced expression acts synergistically with wild-type p53, resulting in irreversible growth arrest, as shown by VhD mouse fibroblast cells expressing a temperature-sensitive mutant of p53. Furthermore, reintroduction of both BRCA1 and p53 into BRCA1(-/-)/p53(-/-) mouse embryonic fibroblasts markedly increased the senescence phenotype compared to that induced by p53 alone. In particular, we found that BRCA1 expression attenuated p53-mediated cell death in response to gamma-irradiation. Moreover, microarray screening of 11 000 murine genes demonstrated that a set of genes upregulated by p53 is enhanced by coexpression of BRCA1 and p53, suggesting that BRCA1 and p53 exert a promoter selectivity leading to a specific phenotype. Taken together, our results provide evidence that BRCA1 is involved in p53-mediated growth suppression rather than apoptosis."}
{"STANDARD_NAME":"ONGUSAHA_BRCA1_TARGETS_DN","SYSTEMATIC_NAME":"M2068","ORGANISM":"Mus musculus","PMID":"12802282","AUTHORS":"Ongusaha PP,Ouchi T,Kim KT,Nytko E,Kwak JC,Duda RB,Deng CX,Lee SW","EXACT_SOURCE":"Table 2: Downregulated genes","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in MEF cells (embryonic fibroblast) lacking TP53 and BRCA1 [GeneID=7157;672] by expression of BRCA1.","DESCRIPTION_FULL":"The tumor suppressor protein BRCA1 has been shown to enhance p53 transcription, whereas activated p53 represses BRCA1 transcription. To further understand the functional interaction of these proteins, we investigated the role of BRCA1 in p53-induced phenotypes. We found that BRCA1 when subjected to forced expression acts synergistically with wild-type p53, resulting in irreversible growth arrest, as shown by VhD mouse fibroblast cells expressing a temperature-sensitive mutant of p53. Furthermore, reintroduction of both BRCA1 and p53 into BRCA1(-/-)/p53(-/-) mouse embryonic fibroblasts markedly increased the senescence phenotype compared to that induced by p53 alone. In particular, we found that BRCA1 expression attenuated p53-mediated cell death in response to gamma-irradiation. Moreover, microarray screening of 11 000 murine genes demonstrated that a set of genes upregulated by p53 is enhanced by coexpression of BRCA1 and p53, suggesting that BRCA1 and p53 exert a promoter selectivity leading to a specific phenotype. Taken together, our results provide evidence that BRCA1 is involved in p53-mediated growth suppression rather than apoptosis."}
{"STANDARD_NAME":"SASSON_RESPONSE_TO_GONADOTROPHINS_UP","SYSTEMATIC_NAME":"M16587","ORGANISM":"Homo sapiens","PMID":"15026540","AUTHORS":"Sasson R,Rimon E,Dantes A,Cohen T,Shinder V,Land-Bracha A,Amsterdam A","EXACT_SOURCE":"Table 1-4: LH & FSH > 0","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in primary granulosa cells after stimulation with LH or FSH gonadotrophic hormones for 24 h.","DESCRIPTION_FULL":"Gonadotrophins exert a major effect on ovarian development and on the control of fertilization. By stimulating cells with forskolin (FK), it is possible to study which genes are activated by gonadotrophins via the cAMP cascade, and which by alternative pathways. Using RNA isolated from stimulated cells, we found that 59% of the total genes modulated by LH were also modulated by FK, while 69% of the genes modulated exclusively by FSH were also modulated by FK. Gene transcripts involved in steroidogenesis/progesterone production were highly elevated, while 17beta-hydroxysteroid dehydrogenase was down-regulated. This suggests that a decrease in the conversion of androstenedione to testosterone and estrone to estradiol occurs during luteinization. Down-regulation of genes coding for actin cytoskeleton proteins and cytokeratin 18 was observed in response to gonadotrophin and cAMP stimulation. Several of the genes coding for the microtubule network were also modulated, implying that rearrangement of the cytoskeletal proteins permits better coupling between organelles involved in steroidogenesis. A dramatic change in gene transcripts coding for signalling enzymes was observed following LH stimulation. This includes the down-regulation of adenylyl cyclase 7 and 9, elevation of cAMP-dependent phosphodiesterase, and the up-regulation of a negative regulator of G-protein signalling (RGS16) that may negate gonadotrophin signalling via guanine nucleotide binding proteins. Thus luteinized cells, despite increased gene transcripts to LH/chorionic gonadotrophin (CG) receptors, respond inefficiently to gonadotrophin stimulation, due to attenuation of signal transduction in the cAMP cascade at multiple steps. Novel genes involved in the regulation of apoptosis were found for the first time to be up-regulated by gonadotrophin stimulation, including: BAX inhibitor-1, granulysin and apoptosis repressor with caspase recruitment domain (ARC). These proteins may be involved in a unique alternative pathway of ovarian cell death. Such a pathway could temporarily preserve the mitochondria and progesterone production during the initial stages of granulosa cell apoptosis."}
{"STANDARD_NAME":"SASSON_RESPONSE_TO_GONADOTROPHINS_DN","SYSTEMATIC_NAME":"M17143","ORGANISM":"Homo sapiens","PMID":"15026540","AUTHORS":"Sasson R,Rimon E,Dantes A,Cohen T,Shinder V,Land-Bracha A,Amsterdam A","EXACT_SOURCE":"Table 1-4: LH & FSH < 0","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in primary granulosa cells after stimulation with LH or FSH gonadotrophic hormones for 24 h.","DESCRIPTION_FULL":"Gonadotrophins exert a major effect on ovarian development and on the control of fertilization. By stimulating cells with forskolin (FK), it is possible to study which genes are activated by gonadotrophins via the cAMP cascade, and which by alternative pathways. Using RNA isolated from stimulated cells, we found that 59% of the total genes modulated by LH were also modulated by FK, while 69% of the genes modulated exclusively by FSH were also modulated by FK. Gene transcripts involved in steroidogenesis/progesterone production were highly elevated, while 17beta-hydroxysteroid dehydrogenase was down-regulated. This suggests that a decrease in the conversion of androstenedione to testosterone and estrone to estradiol occurs during luteinization. Down-regulation of genes coding for actin cytoskeleton proteins and cytokeratin 18 was observed in response to gonadotrophin and cAMP stimulation. Several of the genes coding for the microtubule network were also modulated, implying that rearrangement of the cytoskeletal proteins permits better coupling between organelles involved in steroidogenesis. A dramatic change in gene transcripts coding for signalling enzymes was observed following LH stimulation. This includes the down-regulation of adenylyl cyclase 7 and 9, elevation of cAMP-dependent phosphodiesterase, and the up-regulation of a negative regulator of G-protein signalling (RGS16) that may negate gonadotrophin signalling via guanine nucleotide binding proteins. Thus luteinized cells, despite increased gene transcripts to LH/chorionic gonadotrophin (CG) receptors, respond inefficiently to gonadotrophin stimulation, due to attenuation of signal transduction in the cAMP cascade at multiple steps. Novel genes involved in the regulation of apoptosis were found for the first time to be up-regulated by gonadotrophin stimulation, including: BAX inhibitor-1, granulysin and apoptosis repressor with caspase recruitment domain (ARC). These proteins may be involved in a unique alternative pathway of ovarian cell death. Such a pathway could temporarily preserve the mitochondria and progesterone production during the initial stages of granulosa cell apoptosis."}
{"STANDARD_NAME":"SASSON_RESPONSE_TO_FORSKOLIN_UP","SYSTEMATIC_NAME":"M9869","ORGANISM":"Homo sapiens","PMID":"15026540","AUTHORS":"Sasson R,Rimon E,Dantes A,Cohen T,Shinder V,Land-Bracha A,Amsterdam A","EXACT_SOURCE":"Table 1-4: FK > 0","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in primary granulosa cells in response to forskolin [PubChem=47936].","DESCRIPTION_FULL":"Gonadotrophins exert a major effect on ovarian development and on the control of fertilization. By stimulating cells with forskolin (FK), it is possible to study which genes are activated by gonadotrophins via the cAMP cascade, and which by alternative pathways. Using RNA isolated from stimulated cells, we found that 59% of the total genes modulated by LH were also modulated by FK, while 69% of the genes modulated exclusively by FSH were also modulated by FK. Gene transcripts involved in steroidogenesis/progesterone production were highly elevated, while 17beta-hydroxysteroid dehydrogenase was down-regulated. This suggests that a decrease in the conversion of androstenedione to testosterone and estrone to estradiol occurs during luteinization. Down-regulation of genes coding for actin cytoskeleton proteins and cytokeratin 18 was observed in response to gonadotrophin and cAMP stimulation. Several of the genes coding for the microtubule network were also modulated, implying that rearrangement of the cytoskeletal proteins permits better coupling between organelles involved in steroidogenesis. A dramatic change in gene transcripts coding for signalling enzymes was observed following LH stimulation. This includes the down-regulation of adenylyl cyclase 7 and 9, elevation of cAMP-dependent phosphodiesterase, and the up-regulation of a negative regulator of G-protein signalling (RGS16) that may negate gonadotrophin signalling via guanine nucleotide binding proteins. Thus luteinized cells, despite increased gene transcripts to LH/chorionic gonadotrophin (CG) receptors, respond inefficiently to gonadotrophin stimulation, due to attenuation of signal transduction in the cAMP cascade at multiple steps. Novel genes involved in the regulation of apoptosis were found for the first time to be up-regulated by gonadotrophin stimulation, including: BAX inhibitor-1, granulysin and apoptosis repressor with caspase recruitment domain (ARC). These proteins may be involved in a unique alternative pathway of ovarian cell death. Such a pathway could temporarily preserve the mitochondria and progesterone production during the initial stages of granulosa cell apoptosis."}
{"STANDARD_NAME":"SASSON_RESPONSE_TO_FORSKOLIN_DN","SYSTEMATIC_NAME":"M12924","ORGANISM":"Homo sapiens","PMID":"15026540","AUTHORS":"Sasson R,Rimon E,Dantes A,Cohen T,Shinder V,Land-Bracha A,Amsterdam A","EXACT_SOURCE":"Table 1-4: FK < 0","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in primary granulosa cells in response to forskolin [PubChem=47936].","DESCRIPTION_FULL":"Gonadotrophins exert a major effect on ovarian development and on the control of fertilization. By stimulating cells with forskolin (FK), it is possible to study which genes are activated by gonadotrophins via the cAMP cascade, and which by alternative pathways. Using RNA isolated from stimulated cells, we found that 59% of the total genes modulated by LH were also modulated by FK, while 69% of the genes modulated exclusively by FSH were also modulated by FK. Gene transcripts involved in steroidogenesis/progesterone production were highly elevated, while 17beta-hydroxysteroid dehydrogenase was down-regulated. This suggests that a decrease in the conversion of androstenedione to testosterone and estrone to estradiol occurs during luteinization. Down-regulation of genes coding for actin cytoskeleton proteins and cytokeratin 18 was observed in response to gonadotrophin and cAMP stimulation. Several of the genes coding for the microtubule network were also modulated, implying that rearrangement of the cytoskeletal proteins permits better coupling between organelles involved in steroidogenesis. A dramatic change in gene transcripts coding for signalling enzymes was observed following LH stimulation. This includes the down-regulation of adenylyl cyclase 7 and 9, elevation of cAMP-dependent phosphodiesterase, and the up-regulation of a negative regulator of G-protein signalling (RGS16) that may negate gonadotrophin signalling via guanine nucleotide binding proteins. Thus luteinized cells, despite increased gene transcripts to LH/chorionic gonadotrophin (CG) receptors, respond inefficiently to gonadotrophin stimulation, due to attenuation of signal transduction in the cAMP cascade at multiple steps. Novel genes involved in the regulation of apoptosis were found for the first time to be up-regulated by gonadotrophin stimulation, including: BAX inhibitor-1, granulysin and apoptosis repressor with caspase recruitment domain (ARC). These proteins may be involved in a unique alternative pathway of ovarian cell death. Such a pathway could temporarily preserve the mitochondria and progesterone production during the initial stages of granulosa cell apoptosis."}
{"STANDARD_NAME":"BAE_BRCA1_TARGETS_UP","SYSTEMATIC_NAME":"M2072","ORGANISM":"Homo sapiens","PMID":"15520196","AUTHORS":"Bae I,Fan S,Meng Q,Rih JK,Kim HJ,Kang HJ,Xu J,Goldberg ID,Jaiswal AK,Rosen EM","EXACT_SOURCE":"Table 5: Increased by BRCA1","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes concordantly up-regulated in DU-145 and MCF-7 cells (lprostate, breast cancer) upon expression of BRCA1.","DESCRIPTION_FULL":"Mutations of the breast cancer susceptibility gene 1 (BRCA1), a tumor suppressor, confer an increased risk for breast, ovarian, and prostate cancers. To investigate the function of the BRCA1 gene, we performed DNA microarray and confirmatory reverse transcription-PCR analyses to identify BRCA1-regulated gene expression changes. We found that BRCA1 up-regulates the expression of multiple genes involved in the cytoprotective antioxidant response, including glutathione S-transferases, oxidoreductases, and other antioxidant genes. Consistent with these findings, BRCA1 overexpression conferred resistance while BRCA1 deficiency conferred sensitivity to several different oxidizing agents (hydrogen peroxide and paraquat). In addition, in the setting of oxidative stress (due to hydrogen peroxide), BRCA1 shifted the cellular redox balance to a higher ratio of reduced to oxidized glutathione. Finally, BRCA1 stimulated antioxidant response element-driven transcriptional activity and enhanced the activity of the antioxidant response transcription factor nuclear factor erythroid-derived 2 like 2 [also called NRF2 (NFE2L2)]. The ability of BRCA1 to stimulate antioxidant response element-dependent transcription and to protect cells against oxidative stress was attenuated by inhibition of nuclear factor erythroid-derived 2 like 2. These findings suggest a novel function for BRCA1, i.e., to protect cells against oxidative stress. This function would be consistent with the postulated role of BRCA1 as a caretaker gene in preserving genomic integrity."}
{"STANDARD_NAME":"BAE_BRCA1_TARGETS_DN","SYSTEMATIC_NAME":"M2073","ORGANISM":"Homo sapiens","PMID":"15520196","AUTHORS":"Bae I,Fan S,Meng Q,Rih JK,Kim HJ,Kang HJ,Xu J,Goldberg ID,Jaiswal AK,Rosen EM","EXACT_SOURCE":"Table 5: Decreased by BRCA1","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes concordantly down-regulated in DU-145 and MCF-7 cells (lprostate, breast cancer) upon expression of BRCA1.","DESCRIPTION_FULL":"Mutations of the breast cancer susceptibility gene 1 (BRCA1), a tumor suppressor, confer an increased risk for breast, ovarian, and prostate cancers. To investigate the function of the BRCA1 gene, we performed DNA microarray and confirmatory reverse transcription-PCR analyses to identify BRCA1-regulated gene expression changes. We found that BRCA1 up-regulates the expression of multiple genes involved in the cytoprotective antioxidant response, including glutathione S-transferases, oxidoreductases, and other antioxidant genes. Consistent with these findings, BRCA1 overexpression conferred resistance while BRCA1 deficiency conferred sensitivity to several different oxidizing agents (hydrogen peroxide and paraquat). In addition, in the setting of oxidative stress (due to hydrogen peroxide), BRCA1 shifted the cellular redox balance to a higher ratio of reduced to oxidized glutathione. Finally, BRCA1 stimulated antioxidant response element-driven transcriptional activity and enhanced the activity of the antioxidant response transcription factor nuclear factor erythroid-derived 2 like 2 [also called NRF2 (NFE2L2)]. The ability of BRCA1 to stimulate antioxidant response element-dependent transcription and to protect cells against oxidative stress was attenuated by inhibition of nuclear factor erythroid-derived 2 like 2. These findings suggest a novel function for BRCA1, i.e., to protect cells against oxidative stress. This function would be consistent with the postulated role of BRCA1 as a caretaker gene in preserving genomic integrity."}
{"STANDARD_NAME":"RAGHAVACHARI_PLATELET_SPECIFIC_GENES","SYSTEMATIC_NAME":"M7732","ORGANISM":"Homo sapiens","PMID":"17353439","AUTHORS":"Raghavachari N,Xu X,Harris A,Villagra J,Logun C,Barb J,Solomon MA,Suffredini AF,Danner RL,Kato G,Munson PJ,Morris SM Jr,Gladwin MT","GEOID":"GSE11524","EXACT_SOURCE":"Table 2S: Relative Expression Index > 1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes in this set correspond to the most abuntant transcripts that are also specific to platelets.","DESCRIPTION_FULL":"BACKGROUND: In sickle cell disease, ischemia-reperfusion injury and intravascular hemolysis produce endothelial dysfunction and vasculopathy characterized by reduced nitric oxide and arginine bioavailability. Recent functional studies of platelets in patients with sickle cell disease reveal a basally activated state, which suggests that pathological platelet activation may contribute to sickle cell disease vasculopathy. METHODS AND RESULTS: Studies were therefore undertaken to examine transcriptional signaling pathways in platelets that may be dysregulated in sickle cell disease. We demonstrate and validate in the present study the feasibility of comparative platelet transcriptome studies on clinical samples from single donors by the application of RNA amplification followed by microarray-based analysis of 54,000 probe sets. Data mining an existing microarray database, we identified 220 highly abundant genes in platelets and a subset of 72 relatively platelet-specific genes, defined by >10-fold increased expression compared with the median of other cell types in the database with amplified transcripts. The highly abundant platelet transcripts found in the present study included 82% or 70% of platelet-abundant genes identified in 2 previous gene expression studies on nonamplified mRNA from pooled or apheresis samples, respectively. On comparing the platelet gene expression profiles in 18 patients with sickle cell disease in steady state to those of 12 black control subjects, at a 3-fold cutoff and 5% false-discovery rate, we identified approximately 100 differentially expressed genes, including multiple genes involved in arginine metabolism and redox homeostasis. Further characterization of these pathways with real-time polymerase chain reaction and biochemical assays revealed increased arginase II expression and activity and decreased platelet polyamine levels. CONCLUSIONS: The present studies suggest a potential pathogenic role for platelet arginase and altered arginine and polyamine metabolism in sickle cell disease and provide a novel framework for the study of disease-specific platelet biology."}
{"STANDARD_NAME":"WANG_METASTASIS_OF_BREAST_CANCER_ESR1_DN","SYSTEMATIC_NAME":"M2083","ORGANISM":"Homo sapiens","PMID":"15721472","AUTHORS":"Wang Y,Klijn JG,Zhang Y,Sieuwerts AM,Look MP,Yang F,Talantov D,Timmermans M,Meijer-van Gelder ME,Yu J,Jatkoe T,Berns EM,Atkins D,Foekens JA","GEOID":"GSE2034","EXACT_SOURCE":"Table 2: ER-positive group, Cox < 0","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes whose expression in primary ER(+) [GeneID=2099] breast cancer tumors negatively correlates with developing distant metastases.","DESCRIPTION_FULL":"BACKGROUND: Genome-wide measures of gene expression can identify patterns of gene activity that subclassify tumours and might provide a better means than is currently available for individual risk assessment in patients with lymph-node-negative breast cancer. METHODS: We analysed, with Affymetrix Human U133a GeneChips, the expression of 22000 transcripts from total RNA of frozen tumour samples from 286 lymph-node-negative patients who had not received adjuvant systemic treatment. FINDINGS: In a training set of 115 tumours, we identified a 76-gene signature consisting of 60 genes for patients positive for oestrogen receptors (ER) and 16 genes for ER-negative patients. This signature showed 93% sensitivity and 48% specificity in a subsequent independent testing set of 171 lymph-node-negative patients. The gene profile was highly informative in identifying patients who developed distant metastases within 5 years (hazard ratio 5.67 [95% CI 2.59-12.4]), even when corrected for traditional prognostic factors in multivariate analysis (5.55 [2.46-12.5]). The 76-gene profile also represented a strong prognostic factor for the development of metastasis in the subgroups of 84 premenopausal patients (9.60 [2.28-40.5]), 87 postmenopausal patients (4.04 [1.57-10.4]), and 79 patients with tumours of 10-20 mm (14.1 [3.34-59.2]), a group of patients for whom prediction of prognosis is especially difficult. INTERPRETATION: The identified signature provides a powerful tool for identification of patients at high risk of distant recurrence. The ability to identify patients who have a favourable prognosis could, after independent confirmation, allow clinicians to avoid adjuvant systemic therapy or to choose less aggressive therapeutic options."}
{"STANDARD_NAME":"WANG_METASTASIS_OF_BREAST_CANCER","SYSTEMATIC_NAME":"M2084","ORGANISM":"Homo sapiens","PMID":"15721472","AUTHORS":"Wang Y,Klijn JG,Zhang Y,Sieuwerts AM,Look MP,Yang F,Talantov D,Timmermans M,Meijer-van Gelder ME,Yu J,Jatkoe T,Berns EM,Atkins D,Foekens JA","GEOID":"GSE2034","EXACT_SOURCE":"Table 2: ER-negative group, Cox < 0","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes whose expression in primary ER(-) [GeneID=2099] breast cancer tumors negatively correlates with developing distant metastases.","DESCRIPTION_FULL":"BACKGROUND: Genome-wide measures of gene expression can identify patterns of gene activity that subclassify tumours and might provide a better means than is currently available for individual risk assessment in patients with lymph-node-negative breast cancer. METHODS: We analysed, with Affymetrix Human U133a GeneChips, the expression of 22000 transcripts from total RNA of frozen tumour samples from 286 lymph-node-negative patients who had not received adjuvant systemic treatment. FINDINGS: In a training set of 115 tumours, we identified a 76-gene signature consisting of 60 genes for patients positive for oestrogen receptors (ER) and 16 genes for ER-negative patients. This signature showed 93% sensitivity and 48% specificity in a subsequent independent testing set of 171 lymph-node-negative patients. The gene profile was highly informative in identifying patients who developed distant metastases within 5 years (hazard ratio 5.67 [95% CI 2.59-12.4]), even when corrected for traditional prognostic factors in multivariate analysis (5.55 [2.46-12.5]). The 76-gene profile also represented a strong prognostic factor for the development of metastasis in the subgroups of 84 premenopausal patients (9.60 [2.28-40.5]), 87 postmenopausal patients (4.04 [1.57-10.4]), and 79 patients with tumours of 10-20 mm (14.1 [3.34-59.2]), a group of patients for whom prediction of prognosis is especially difficult. INTERPRETATION: The identified signature provides a powerful tool for identification of patients at high risk of distant recurrence. The ability to identify patients who have a favourable prognosis could, after independent confirmation, allow clinicians to avoid adjuvant systemic therapy or to choose less aggressive therapeutic options."}
{"STANDARD_NAME":"LI_INDUCED_T_TO_NATURAL_KILLER_DN","SYSTEMATIC_NAME":"M2088","ORGANISM":"Mus musculus","PMID":"20538915","AUTHORS":"Li P,Burke S,Wang J,Chen X,Ortiz M,Lee SC,Lu D,Campos L,Goulding D,Ng BL,Dougan G,Huntly B,Gottgens B,Jenkins NA,Copeland NG,Colucci F,Liu P","GEOID":"GSE21016","EXACT_SOURCE":"Table 1S: ITNK vs DN3 Ratio < 1","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in ITNK cells (T-lymphocyte progenitors (DN3 cells) reprogrammed to natural killer (NK) cells by ablation of BCL11B [GeneID=64919] gene), compared to the parental DN3 cells.","DESCRIPTION_FULL":"T cells develop in the thymus and are critical for adaptive immunity. Natural killer (NK) lymphocytes constitute an essential component of the innate immune system in tumor surveillance, reproduction, and defense against microbes and viruses. Here, we show that the transcription factor Bcl11b was expressed in all T cell compartments and was indispensable for T lineage development. When Bcl11b was deleted, T cells from all developmental stages acquired NK cell properties and concomitantly lost or decreased T cell-associated gene expression. These induced T-to-natural killer (ITNK) cells, which were morphologically and genetically similar to conventional NK cells, killed tumor cells in vitro, and effectively prevented tumor metastasis in vivo. Therefore, ITNKs may represent a new cell source for cell-based therapies."}
{"STANDARD_NAME":"NOUSHMEHR_GBM_SOMATIC_MUTATED","SYSTEMATIC_NAME":"M2089","ORGANISM":"Homo sapiens","PMID":"20399149","AUTHORS":"Noushmehr H,Weisenberger DJ,Diefes K,Phillips HS,Pujara K,Berman BP,Pan F,Pelloski CE,Sulman EP,Bhat KP,Verhaak RG,Hoadley KA,Hayes DN,Perou CM,Schmidt HK,Ding L,Wilson RK,Van Den Berg D,Shen H,Bengtsson H,Neuvial P,Cope LM,Buckley J,Herman JG,Baylin SB,Laird PW,Aldape K,Cancer Genome Atlas Research Network","EXACT_SOURCE":"Table 2S: SOMATIC, fisher.exact < 0.05","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes showing significantly elevated somatic mutation frequencies in proneural G-CIMP (a CpG island methylator phenotype) GBM (glyoblastoma multiforme) tumors.","DESCRIPTION_FULL":"We have profiled promoter DNA methylation alterations in 272 glioblastoma tumors in the context of The Cancer Genome Atlas (TCGA). We found that a distinct subset of samples displays concerted hypermethylation at a large number of loci, indicating the existence of a glioma-CpG island methylator phenotype (G-CIMP). We validated G-CIMP in a set of non-TCGA glioblastomas and low-grade gliomas. G-CIMP tumors belong to the proneural subgroup, are more prevalent among lower-grade gliomas, display distinct copy-number alterations, and are tightly associated with IDH1 somatic mutations. Patients with G-CIMP tumors are younger at the time of diagnosis and experience significantly improved outcome. These findings identify G-CIMP as a distinct subset of human gliomas on molecular and clinical grounds."}
{"STANDARD_NAME":"NOUSHMEHR_GBM_GERMLINE_MUTATED","SYSTEMATIC_NAME":"M2090","ORGANISM":"Homo sapiens","PMID":"20399149","AUTHORS":"Noushmehr H,Weisenberger DJ,Diefes K,Phillips HS,Pujara K,Berman BP,Pan F,Pelloski CE,Sulman EP,Bhat KP,Verhaak RG,Hoadley KA,Hayes DN,Perou CM,Schmidt HK,Ding L,Wilson RK,Van Den Berg D,Shen H,Bengtsson H,Neuvial P,Cope LM,Buckley J,Herman JG,Baylin SB,Laird PW,Aldape K,Cancer Genome Atlas Research Network","EXACT_SOURCE":"Table 2S: GERMLINE, fisher.exact < 0.05","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes with significantl germline mutation differences in proneural G-CIMP (a CpG island methylator phenotype) GBM (glyoblastoma multiforme) tumors.","DESCRIPTION_FULL":"We have profiled promoter DNA methylation alterations in 272 glioblastoma tumors in the context of The Cancer Genome Atlas (TCGA). We found that a distinct subset of samples displays concerted hypermethylation at a large number of loci, indicating the existence of a glioma-CpG island methylator phenotype (G-CIMP). We validated G-CIMP in a set of non-TCGA glioblastomas and low-grade gliomas. G-CIMP tumors belong to the proneural subgroup, are more prevalent among lower-grade gliomas, display distinct copy-number alterations, and are tightly associated with IDH1 somatic mutations. Patients with G-CIMP tumors are younger at the time of diagnosis and experience significantly improved outcome. These findings identify G-CIMP as a distinct subset of human gliomas on molecular and clinical grounds."}
{"STANDARD_NAME":"NOUSHMEHR_GBM_SILENCED_BY_METHYLATION","SYSTEMATIC_NAME":"M2091","ORGANISM":"Homo sapiens","PMID":"20399149","AUTHORS":"Noushmehr H,Weisenberger DJ,Diefes K,Phillips HS,Pujara K,Berman BP,Pan F,Pelloski CE,Sulman EP,Bhat KP,Verhaak RG,Hoadley KA,Hayes DN,Perou CM,Schmidt HK,Ding L,Wilson RK,Van Den Berg D,Shen H,Bengtsson H,Neuvial P,Cope LM,Buckley J,Herman JG,Baylin SB,Laird PW,Aldape K,Cancer Genome Atlas Research Network","EXACT_SOURCE":"Table 2","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top 50 most differentially hypermethylated and down-regulated genes in proneural G-CIMP (a CpG island methylator phenotype) GBM (glyoblastoma multiforme) tumors.","DESCRIPTION_FULL":"We have profiled promoter DNA methylation alterations in 272 glioblastoma tumors in the context of The Cancer Genome Atlas (TCGA). We found that a distinct subset of samples displays concerted hypermethylation at a large number of loci, indicating the existence of a glioma-CpG island methylator phenotype (G-CIMP). We validated G-CIMP in a set of non-TCGA glioblastomas and low-grade gliomas. G-CIMP tumors belong to the proneural subgroup, are more prevalent among lower-grade gliomas, display distinct copy-number alterations, and are tightly associated with IDH1 somatic mutations. Patients with G-CIMP tumors are younger at the time of diagnosis and experience significantly improved outcome. These findings identify G-CIMP as a distinct subset of human gliomas on molecular and clinical grounds."}
{"STANDARD_NAME":"KAMIKUBO_MYELOID_CEBPA_NETWORK","SYSTEMATIC_NAME":"M2092","ORGANISM":"Mus musculus","PMID":"20478528","AUTHORS":"Kamikubo Y,Zhao L,Wunderlich M,Corpora T,Hyde RK,Paul TA,Kundu M,Garrett L,Compton S,Huang G,Wolff L,Ito Y,Bushweller J,Mulloy JC,Liu PP","GEOID":"GSE21155","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Network of differentially expressed myeloid genes centered around CEBPA [GeneID=1050].","DESCRIPTION_FULL":"Dominant RUNX1 inhibition has been proposed as a common pathway for CBF leukemia. CBF beta-SMMHC, a fusion protein in human acute myeloid leukemia (AML), dominantly inhibits RUNX1 largely through its RUNX1 high-affinity binding domain (HABD). However, the type I CBF beta-SMMHC fusion in AML patients lacks HABD. Here, we report that the type I CBF beta-SMMHC protein binds RUNX1 inefficiently. Knockin mice expressing CBF beta-SMMHC with a HABD deletion developed leukemia quickly, even though hematopoietic defects associated with Runx1-inhibition were partially rescued. A larger pool of leukemia-initiating cells, increased MN1 expression, and retention of RUNX1 phosphorylation are potential mechanisms for accelerated leukemia development in these mice. Our data suggest that RUNX1 dominant inhibition may not be a critical step for leukemogenesis by CBF beta-SMMHC."}
{"STANDARD_NAME":"KAMIKUBO_MYELOID_MN1_NETWORK","SYSTEMATIC_NAME":"M2093","ORGANISM":"Mus musculus","PMID":"20478528","AUTHORS":"Kamikubo Y,Zhao L,Wunderlich M,Corpora T,Hyde RK,Paul TA,Kundu M,Garrett L,Compton S,Huang G,Wolff L,Ito Y,Bushweller J,Mulloy JC,Liu PP","GEOID":"GSE21155","EXACT_SOURCE":"Table 2S","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Network of differentially expressed myeloid genes centered around MN1 [GeneID=4330].","DESCRIPTION_FULL":"Dominant RUNX1 inhibition has been proposed as a common pathway for CBF leukemia. CBF beta-SMMHC, a fusion protein in human acute myeloid leukemia (AML), dominantly inhibits RUNX1 largely through its RUNX1 high-affinity binding domain (HABD). However, the type I CBF beta-SMMHC fusion in AML patients lacks HABD. Here, we report that the type I CBF beta-SMMHC protein binds RUNX1 inefficiently. Knockin mice expressing CBF beta-SMMHC with a HABD deletion developed leukemia quickly, even though hematopoietic defects associated with Runx1-inhibition were partially rescued. A larger pool of leukemia-initiating cells, increased MN1 expression, and retention of RUNX1 phosphorylation are potential mechanisms for accelerated leukemia development in these mice. Our data suggest that RUNX1 dominant inhibition may not be a critical step for leukemogenesis by CBF beta-SMMHC."}
{"STANDARD_NAME":"MARTENS_TRETINOIN_RESPONSE_UP","SYSTEMATIC_NAME":"M2098","ORGANISM":"Homo sapiens","PMID":"20159609","AUTHORS":"Martens JH,Brinkman AB,Simmer F,Francoijs KJ,Nebbioso A,Ferrara F,Altucci L,Stunnenberg HG","GEOID":"GSE18886","EXACT_SOURCE":"Table S6 upregulated genes","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in NB4 cells (acute promyelocytic leukemia, APL) in response to tretinoin [PubChem=444795]; based on Chip-seq data.","DESCRIPTION_FULL":"Many different molecular mechanisms have been associated with PML-RARalpha-dependent transformation of hematopoietic progenitors. Here, we identified high confidence PML-RARalpha binding sites in an acute promyelocytic leukemia (APL) cell line and in two APL primary blasts. We found colocalization of PML-RARalpha with RXR to the vast majority of these binding regions. Genome-wide epigenetic studies revealed that treatment with pharmacological doses of all-trans retinoic acid induces changes in H3 acetylation, but not H3K27me3, H3K9me3, or DNA methylation at the PML-RARalpha/RXR binding sites or at nearby target genes. Our results suggest that PML-RARalpha/RXR functions as a local chromatin modulator and that specific recruitment of histone deacetylase activities to genes important for hematopoietic differentiation, RAR signaling, and epigenetic control is crucial to its transforming potential."}
{"STANDARD_NAME":"STAMBOLSKY_BOUND_BY_MUTATED_TP53","SYSTEMATIC_NAME":"M2100","ORGANISM":"Homo sapiens","PMID":"20227041","AUTHORS":"Stambolsky P,Tabach Y,Fontemaggi G,Weisz L,Maor-Aloni R,Siegfried Z,Shiff I,Kogan I,Shay M,Kalo E,Blandino G,Simon I,Oren M,Rotter V","GEOID":"E-MEXP-2538","EXACT_SOURCE":"Table 1","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Gene promoters preferentially bound by a mutated form of TP53 [GeneID=7157] in SKBR3 cells (breast cancer).","DESCRIPTION_FULL":"The p53 gene is mutated in many human tumors. Cells of such tumors often contain abundant mutant p53 (mutp53) protein, which may contribute actively to tumor progression via a gain-of-function mechanism. We applied ChIP-on-chip analysis and identified the vitamin D receptor (VDR) response element as overrepresented in promoter sequences bound by mutp53. We report that mutp53 can interact functionally and physically with VDR. Mutp53 is recruited to VDR-regulated genes and modulates their expression, augmenting the transactivation of some genes and relieving the repression of others. Furthermore, mutp53 increases the nuclear accumulation of VDR. Importantly, mutp53 converts vitamin D into an antiapoptotic agent. Thus, p53 status can determine the biological impact of vitamin D on tumor cells."}
{"STANDARD_NAME":"STAMBOLSKY_TARGETS_OF_MUTATED_TP53_UP","SYSTEMATIC_NAME":"M2101","ORGANISM":"Homo sapiens","PMID":"20227041","AUTHORS":"Stambolsky P,Tabach Y,Fontemaggi G,Weisz L,Maor-Aloni R,Siegfried Z,Shiff I,Kogan I,Shay M,Kalo E,Blandino G,Simon I,Oren M,Rotter V","GEOID":"GSE19670","EXACT_SOURCE":"Table 2S: Genes induced by mutp53","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes induced in SKBR3 cells (breast cancer) by mutated TP53 [GeneID=7157].","DESCRIPTION_FULL":"The p53 gene is mutated in many human tumors. Cells of such tumors often contain abundant mutant p53 (mutp53) protein, which may contribute actively to tumor progression via a gain-of-function mechanism. We applied ChIP-on-chip analysis and identified the vitamin D receptor (VDR) response element as overrepresented in promoter sequences bound by mutp53. We report that mutp53 can interact functionally and physically with VDR. Mutp53 is recruited to VDR-regulated genes and modulates their expression, augmenting the transactivation of some genes and relieving the repression of others. Furthermore, mutp53 increases the nuclear accumulation of VDR. Importantly, mutp53 converts vitamin D into an antiapoptotic agent. Thus, p53 status can determine the biological impact of vitamin D on tumor cells."}
{"STANDARD_NAME":"STAMBOLSKY_RESPONSE_TO_VITAMIN_D3_UP","SYSTEMATIC_NAME":"M2103","ORGANISM":"Homo sapiens","PMID":"20227041","AUTHORS":"Stambolsky P,Tabach Y,Fontemaggi G,Weisz L,Maor-Aloni R,Siegfried Z,Shiff I,Kogan I,Shay M,Kalo E,Blandino G,Simon I,Oren M,Rotter V","GEOID":"GSE19670","EXACT_SOURCE":"Table 2S: Genes induced by vitamin D3","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes induced in SKBR3 cells (breast cancer) by 25-hydroxyvitamin D3 [PubChem=1593].","DESCRIPTION_FULL":"The p53 gene is mutated in many human tumors. Cells of such tumors often contain abundant mutant p53 (mutp53) protein, which may contribute actively to tumor progression via a gain-of-function mechanism. We applied ChIP-on-chip analysis and identified the vitamin D receptor (VDR) response element as overrepresented in promoter sequences bound by mutp53. We report that mutp53 can interact functionally and physically with VDR. Mutp53 is recruited to VDR-regulated genes and modulates their expression, augmenting the transactivation of some genes and relieving the repression of others. Furthermore, mutp53 increases the nuclear accumulation of VDR. Importantly, mutp53 converts vitamin D into an antiapoptotic agent. Thus, p53 status can determine the biological impact of vitamin D on tumor cells."}
{"STANDARD_NAME":"STAMBOLSKY_RESPONSE_TO_VITAMIN_D3_DN","SYSTEMATIC_NAME":"M2104","ORGANISM":"Homo sapiens","PMID":"20227041","AUTHORS":"Stambolsky P,Tabach Y,Fontemaggi G,Weisz L,Maor-Aloni R,Siegfried Z,Shiff I,Kogan I,Shay M,Kalo E,Blandino G,Simon I,Oren M,Rotter V","GEOID":"GSE19670","EXACT_SOURCE":"Table 2S: Genes repressed by vitamin D3","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes repressed in SKBR3 cells (breast cancer) by 25-hydroxyvitamin D3 [PubChem=1593].","DESCRIPTION_FULL":"The p53 gene is mutated in many human tumors. Cells of such tumors often contain abundant mutant p53 (mutp53) protein, which may contribute actively to tumor progression via a gain-of-function mechanism. We applied ChIP-on-chip analysis and identified the vitamin D receptor (VDR) response element as overrepresented in promoter sequences bound by mutp53. We report that mutp53 can interact functionally and physically with VDR. Mutp53 is recruited to VDR-regulated genes and modulates their expression, augmenting the transactivation of some genes and relieving the repression of others. Furthermore, mutp53 increases the nuclear accumulation of VDR. Importantly, mutp53 converts vitamin D into an antiapoptotic agent. Thus, p53 status can determine the biological impact of vitamin D on tumor cells."}
{"STANDARD_NAME":"KIM_ALL_DISORDERS_OLIGODENDROCYTE_NUMBER_CORR_DN","SYSTEMATIC_NAME":"M2106","ORGANISM":"Homo sapiens","PMID":"18762803","AUTHORS":"Kim S,Webster MJ","EXACT_SOURCE":"Table 1S: correlation coefficient < 0","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes whose expression was significantly and negatively correlated with the number of perineuronal oligodendrocytes in the layer III of BA9 brain region.","DESCRIPTION_FULL":"Cytoarchitectural abnormalities have been described in the prefrontal cortex of subjects with schizophrenia, bipolar disorder and depression. However, little is known about the gene expression profiles associated with these abnormalities. Genome-wide expression profiling technology provides an unbiased approach to identifying candidate genes and biological processes that may be associated with complex biological traits such as cytoarchitecture. In this study, we explored expression profiles associated with the abnormalities by using publicly available microarray metadata and cytoarchitectural data from post-mortem samples of the frontal cortex from 54 subjects (schizophrenia, n=14; bipolar disorder, n=13; depression, n=12 and controls n=15). Correlation analysis between genome-wide expression levels and cytoarchitectural traits revealed that 818 genes were significantly correlated with a decrease in the number of perineuronal oligodendrocytes across all subjects. A total of 600 genes were significantly correlated with a decrease in density of calbindin-positive interneurons across all subjects. Multiple biological processes including cellular metabolism, central nervous system development, cell motility and programmed cell death were significantly overrepresented in both correlated gene lists. These findings may provide novel insights into the molecular mechanisms that underlie the cytoarchitectural abnormalities of perineuronal oligodendrocytes and calbindin-containing GABAergic interneurons in the prefrontal cortex of the major psychiatric disorders."}
{"STANDARD_NAME":"KIM_BIPOLAR_DISORDER_OLIGODENDROCYTE_DENSITY_CORR_DN","SYSTEMATIC_NAME":"M2109","ORGANISM":"Homo sapiens","PMID":"18762803","AUTHORS":"Kim S,Webster MJ","EXACT_SOURCE":"Table 2S: correlation coefficient < 0","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes whose expression significantly and negatively correlated with oligodendrocyte density in layer VI of BA9 brain region in patients with bipolar disorder.","DESCRIPTION_FULL":"Cytoarchitectural abnormalities have been described in the prefrontal cortex of subjects with schizophrenia, bipolar disorder and depression. However, little is known about the gene expression profiles associated with these abnormalities. Genome-wide expression profiling technology provides an unbiased approach to identifying candidate genes and biological processes that may be associated with complex biological traits such as cytoarchitecture. In this study, we explored expression profiles associated with the abnormalities by using publicly available microarray metadata and cytoarchitectural data from post-mortem samples of the frontal cortex from 54 subjects (schizophrenia, n=14; bipolar disorder, n=13; depression, n=12 and controls n=15). Correlation analysis between genome-wide expression levels and cytoarchitectural traits revealed that 818 genes were significantly correlated with a decrease in the number of perineuronal oligodendrocytes across all subjects. A total of 600 genes were significantly correlated with a decrease in density of calbindin-positive interneurons across all subjects. Multiple biological processes including cellular metabolism, central nervous system development, cell motility and programmed cell death were significantly overrepresented in both correlated gene lists. These findings may provide novel insights into the molecular mechanisms that underlie the cytoarchitectural abnormalities of perineuronal oligodendrocytes and calbindin-containing GABAergic interneurons in the prefrontal cortex of the major psychiatric disorders."}
{"STANDARD_NAME":"KIM_ALL_DISORDERS_CALB1_CORR_DN","SYSTEMATIC_NAME":"M2111","ORGANISM":"Homo sapiens","PMID":"18762803","AUTHORS":"Kim S,Webster MJ","EXACT_SOURCE":"Table 3S: correlation coefficient < 0","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes whose expression significantly and negatively correlated with the density of CALB1-positive [GeneID=793] GABAergic interneurons in the BA9 brain region across all subjects with psychiatric disorders.","DESCRIPTION_FULL":"Cytoarchitectural abnormalities have been described in the prefrontal cortex of subjects with schizophrenia, bipolar disorder and depression. However, little is known about the gene expression profiles associated with these abnormalities. Genome-wide expression profiling technology provides an unbiased approach to identifying candidate genes and biological processes that may be associated with complex biological traits such as cytoarchitecture. In this study, we explored expression profiles associated with the abnormalities by using publicly available microarray metadata and cytoarchitectural data from post-mortem samples of the frontal cortex from 54 subjects (schizophrenia, n=14; bipolar disorder, n=13; depression, n=12 and controls n=15). Correlation analysis between genome-wide expression levels and cytoarchitectural traits revealed that 818 genes were significantly correlated with a decrease in the number of perineuronal oligodendrocytes across all subjects. A total of 600 genes were significantly correlated with a decrease in density of calbindin-positive interneurons across all subjects. Multiple biological processes including cellular metabolism, central nervous system development, cell motility and programmed cell death were significantly overrepresented in both correlated gene lists. These findings may provide novel insights into the molecular mechanisms that underlie the cytoarchitectural abnormalities of perineuronal oligodendrocytes and calbindin-containing GABAergic interneurons in the prefrontal cortex of the major psychiatric disorders."}
{"STANDARD_NAME":"KIM_ALL_DISORDERS_DURATION_CORR_UP","SYSTEMATIC_NAME":"M2112","ORGANISM":"Homo sapiens","PMID":"18762803","AUTHORS":"Kim S,Webster MJ","EXACT_SOURCE":"Table 6S: correlation coefficient > 0","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes whose expression in brain significantly and positively correlated with the duration of all psychiatric disorders studied.","DESCRIPTION_FULL":"Cytoarchitectural abnormalities have been described in the prefrontal cortex of subjects with schizophrenia, bipolar disorder and depression. However, little is known about the gene expression profiles associated with these abnormalities. Genome-wide expression profiling technology provides an unbiased approach to identifying candidate genes and biological processes that may be associated with complex biological traits such as cytoarchitecture. In this study, we explored expression profiles associated with the abnormalities by using publicly available microarray metadata and cytoarchitectural data from post-mortem samples of the frontal cortex from 54 subjects (schizophrenia, n=14; bipolar disorder, n=13; depression, n=12 and controls n=15). Correlation analysis between genome-wide expression levels and cytoarchitectural traits revealed that 818 genes were significantly correlated with a decrease in the number of perineuronal oligodendrocytes across all subjects. A total of 600 genes were significantly correlated with a decrease in density of calbindin-positive interneurons across all subjects. Multiple biological processes including cellular metabolism, central nervous system development, cell motility and programmed cell death were significantly overrepresented in both correlated gene lists. These findings may provide novel insights into the molecular mechanisms that underlie the cytoarchitectural abnormalities of perineuronal oligodendrocytes and calbindin-containing GABAergic interneurons in the prefrontal cortex of the major psychiatric disorders."}
{"STANDARD_NAME":"VERHAAK_GLIOBLASTOMA_PRONEURAL","SYSTEMATIC_NAME":"M2115","ORGANISM":"Homo sapiens","PMID":"20129251","AUTHORS":"Verhaak RG,Hoadley KA,Purdom E,Wang V,Qi Y,Wilkerson MD,Miller CR,Ding L,Golub T,Mesirov JP,Alexe G,Lawrence M,O'Kelly M,Tamayo P,Weir BA,Gabriel S,Winckler W,Gupta S,Jakkula L,Feiler HS,Hodgson JG,James CD,Sarkaria JN,Brennan C,Kahn A,Spellman PT,Wilson RK,Speed TP,Gray JW,Meyerson M,Getz G,Perou CM,Hayes DN,Cancer Genome Atlas Research Network","EXACT_SOURCE":"TCGA_unified_CORE_ClaNC840.txt GO genes = PN","EXTERNAL_DETAILS_URL":"https://tcga-data.nci.nih.gov/docs/publications/gbm_2010/","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes correlated with proneural type of glioblastoma multiforme tumors.","DESCRIPTION_FULL":"The Cancer Genome Atlas Network recently cataloged recurrent genomic abnormalities in glioblastoma multiforme (GBM). We describe a robust gene expression-based molecular classification of GBM into Proneural, Neural, Classical, and Mesenchymal subtypes and integrate multidimensional genomic data to establish patterns of somatic mutations and DNA copy number. Aberrations and gene expression of EGFR, NF1, and PDGFRA/IDH1 each define the Classical, Mesenchymal, and Proneural subtypes, respectively. Gene signatures of normal brain cell types show a strong relationship between subtypes and different neural lineages. Additionally, response to aggressive therapy differs by subtype, with the greatest benefit in the Classical subtype and no benefit in the Proneural subtype. We provide a framework that unifies transcriptomic and genomic dimensions for GBM molecular stratification with important implications for future studies."}
{"STANDARD_NAME":"VERHAAK_GLIOBLASTOMA_NEURAL","SYSTEMATIC_NAME":"M2116","ORGANISM":"Homo sapiens","PMID":"20129251","AUTHORS":"Verhaak RG,Hoadley KA,Purdom E,Wang V,Qi Y,Wilkerson MD,Miller CR,Ding L,Golub T,Mesirov JP,Alexe G,Lawrence M,O'Kelly M,Tamayo P,Weir BA,Gabriel S,Winckler W,Gupta S,Jakkula L,Feiler HS,Hodgson JG,James CD,Sarkaria JN,Brennan C,Kahn A,Spellman PT,Wilson RK,Speed TP,Gray JW,Meyerson M,Getz G,Perou CM,Hayes DN,Cancer Genome Atlas Research Network","EXACT_SOURCE":"TCGA_unified_CORE_ClaNC840.txt GO genes = NL","EXTERNAL_DETAILS_URL":"https://tcga-data.nci.nih.gov/docs/publications/gbm_2010/","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes correlated with neural type of glioblastoma multiforme tumors.","DESCRIPTION_FULL":"The Cancer Genome Atlas Network recently cataloged recurrent genomic abnormalities in glioblastoma multiforme (GBM). We describe a robust gene expression-based molecular classification of GBM into Proneural, Neural, Classical, and Mesenchymal subtypes and integrate multidimensional genomic data to establish patterns of somatic mutations and DNA copy number. Aberrations and gene expression of EGFR, NF1, and PDGFRA/IDH1 each define the Classical, Mesenchymal, and Proneural subtypes, respectively. Gene signatures of normal brain cell types show a strong relationship between subtypes and different neural lineages. Additionally, response to aggressive therapy differs by subtype, with the greatest benefit in the Classical subtype and no benefit in the Proneural subtype. We provide a framework that unifies transcriptomic and genomic dimensions for GBM molecular stratification with important implications for future studies."}
{"STANDARD_NAME":"VERHAAK_GLIOBLASTOMA_CLASSICAL","SYSTEMATIC_NAME":"M2121","ORGANISM":"Homo sapiens","PMID":"20129251","AUTHORS":"Verhaak RG,Hoadley KA,Purdom E,Wang V,Qi Y,Wilkerson MD,Miller CR,Ding L,Golub T,Mesirov JP,Alexe G,Lawrence M,O'Kelly M,Tamayo P,Weir BA,Gabriel S,Winckler W,Gupta S,Jakkula L,Feiler HS,Hodgson JG,James CD,Sarkaria JN,Brennan C,Kahn A,Spellman PT,Wilson RK,Speed TP,Gray JW,Meyerson M,Getz G,Perou CM,Hayes DN,Cancer Genome Atlas Research Network","EXACT_SOURCE":"TCGA_unified_CORE_ClaNC840.txt GO genes = CL","EXTERNAL_DETAILS_URL":"https://tcga-data.nci.nih.gov/docs/publications/gbm_2010/","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes correlated with classical type of glioblastoma multiforme tumors.","DESCRIPTION_FULL":"The Cancer Genome Atlas Network recently cataloged recurrent genomic abnormalities in glioblastoma multiforme (GBM). We describe a robust gene expression-based molecular classification of GBM into Proneural, Neural, Classical, and Mesenchymal subtypes and integrate multidimensional genomic data to establish patterns of somatic mutations and DNA copy number. Aberrations and gene expression of EGFR, NF1, and PDGFRA/IDH1 each define the Classical, Mesenchymal, and Proneural subtypes, respectively. Gene signatures of normal brain cell types show a strong relationship between subtypes and different neural lineages. Additionally, response to aggressive therapy differs by subtype, with the greatest benefit in the Classical subtype and no benefit in the Proneural subtype. We provide a framework that unifies transcriptomic and genomic dimensions for GBM molecular stratification with important implications for future studies."}
{"STANDARD_NAME":"VERHAAK_GLIOBLASTOMA_MESENCHYMAL","SYSTEMATIC_NAME":"M2122","ORGANISM":"Homo sapiens","PMID":"20129251","AUTHORS":"Verhaak RG,Hoadley KA,Purdom E,Wang V,Qi Y,Wilkerson MD,Miller CR,Ding L,Golub T,Mesirov JP,Alexe G,Lawrence M,O'Kelly M,Tamayo P,Weir BA,Gabriel S,Winckler W,Gupta S,Jakkula L,Feiler HS,Hodgson JG,James CD,Sarkaria JN,Brennan C,Kahn A,Spellman PT,Wilson RK,Speed TP,Gray JW,Meyerson M,Getz G,Perou CM,Hayes DN,Cancer Genome Atlas Research Network","EXACT_SOURCE":"TCGA_unified_CORE_ClaNC840.txt GO genes = MES","EXTERNAL_DETAILS_URL":"https://tcga-data.nci.nih.gov/docs/publications/gbm_2010/","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes correlated with mesenchymal type of glioblastoma multiforme tumors.","DESCRIPTION_FULL":"The Cancer Genome Atlas Network recently cataloged recurrent genomic abnormalities in glioblastoma multiforme (GBM). We describe a robust gene expression-based molecular classification of GBM into Proneural, Neural, Classical, and Mesenchymal subtypes and integrate multidimensional genomic data to establish patterns of somatic mutations and DNA copy number. Aberrations and gene expression of EGFR, NF1, and PDGFRA/IDH1 each define the Classical, Mesenchymal, and Proneural subtypes, respectively. Gene signatures of normal brain cell types show a strong relationship between subtypes and different neural lineages. Additionally, response to aggressive therapy differs by subtype, with the greatest benefit in the Classical subtype and no benefit in the Proneural subtype. We provide a framework that unifies transcriptomic and genomic dimensions for GBM molecular stratification with important implications for future studies."}
{"STANDARD_NAME":"HIRSCH_CELLULAR_TRANSFORMATION_SIGNATURE_DN","SYSTEMATIC_NAME":"M2124","ORGANISM":"Homo sapiens","PMID":"20385360","AUTHORS":"Hirsch HA,Iliopoulos D,Joshi A,Zhang Y,Jaeger SA,Bulyk M,Tsichlis PN,Shirley Liu X,Struhl K","GEOID":"GSE17941","EXACT_SOURCE":"Table 3S: Downregulated","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Down-regulated genes in the cancer gene signature, representing a gene signature of cellular transformation.","DESCRIPTION_FULL":"Transcriptional profiling of two isogenic models of transformation identifies a gene signature linking cancer with inflammatory and metabolic diseases. In accord with this common transcriptional program, many drugs used for treatment of diabetes and cardiovascular diseases inhibit transformation and tumor growth. Unexpectedly, lipid metabolism genes are important for transformation and are upregulated in cancer tissues. As in atherosclerosis, oxidized LDL and its receptor OLR1 activate the inflammatory pathway through NF-kappaB, leading to transformation. OLR1 is important for maintaining the transformed state in developmentally diverse cancer cell lines and for tumor growth, suggesting a molecular connection between cancer and atherosclerosis. We suggest that the interplay between this common transcriptional program and cell-type-specific factors gives rise to phenotypically disparate human diseases."}
{"STANDARD_NAME":"CHICAS_RB1_TARGETS_LOW_SERUM","SYSTEMATIC_NAME":"M2126","ORGANISM":"Homo sapiens","PMID":"20385362","AUTHORS":"Chicas A,Wang X,Zhang C,McCurrach M,Zhao Z,Mert O,Dickins RA,Narita M,Zhang M,Lowe SW","GEOID":"GSE19899","EXACT_SOURCE":"Table 2S: lowserum_shRb_up","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in IMR90 cells (fibroblast) grown under low serum conditions and after knockdown of RB1 [GeneID=5925] by RNAi.","DESCRIPTION_FULL":"The RB protein family (RB, p107, and p130) has overlapping and compensatory functions in cell-cycle control. However, cancer-associated mutations are almost exclusively found in RB, implying that RB has a nonredundant role in tumor suppression. We demonstrate that RB preferentially associates with E2F target genes involved in DNA replication and is uniquely required to repress these genes during senescence but not other growth states. Consequently, RB loss leads to inappropriate DNA synthesis following a senescence trigger and, together with disruption of a p21-mediated cell-cycle checkpoint, enables extensive proliferation and rampant genomic instability. Our results identify a nonredundant RB effector function that may contribute to tumor suppression and reveal how loss of RB and p53 cooperate to bypass senescence."}
{"STANDARD_NAME":"WANG_RESPONSE_TO_GSK3_INHIBITOR_SB216763_UP","SYSTEMATIC_NAME":"M2131","ORGANISM":"Homo sapiens","PMID":"20541704","AUTHORS":"Wang Z,Iwasaki M,Ficara F,Lin C,Matheny C,Wong SH,Smith KS,Cleary ML","GEOID":"GSE19736","EXACT_SOURCE":"Table 2S: Upregulated genes","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in RS4;11 cells (MLL, mixed lineage leukemia) in response to SB216763 [PubChem=176158], an inhibitor of GSK3B [GeneID=2932].","DESCRIPTION_FULL":"Acute leukemias induced by MLL chimeric oncoproteins are among the subset of cancers distinguished by a paradoxical dependence on GSK-3 kinase activity for sustained proliferation. We demonstrate here that GSK-3 maintains the MLL leukemia stem cell transcriptional program by promoting the conditional association of CREB and its coactivators TORC and CBP with homedomain protein MEIS1, a critical component of the MLL-subordinate program, which in turn facilitates HOX-mediated transcription and transformation. This mechanism also applies to hematopoietic cells transformed by other HOX genes, including CDX2, which is highly expressed in a majority of acute myeloid leukemias, thus providing a molecular approach based on GSK-3 inhibitory strategies to target HOX-associated transcription in a broad spectrum of leukemias."}
{"STANDARD_NAME":"QI_HYPOXIA_TARGETS_OF_HIF1A_AND_FOXA2","SYSTEMATIC_NAME":"M2136","ORGANISM":"Mus musculus","PMID":"20609350","AUTHORS":"Qi J,Nakayama K,Cardiff RD,Borowsky AD,Kaul K,Williams R,Krajewski S,Mercola D,Carpenter PM,Bowtell D,Ronai ZA","GEOID":"GSE18478","EXACT_SOURCE":"Table 3S","CHIP":"Mouse_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated by hypoxia in TRAMP-C cells (prostatic cancer) expressing HIF1A and FOXA2 [GeneID=3091,3170] off plasmid vectors.","DESCRIPTION_FULL":"Neuroendocrine (NE) phenotype, seen in >30% of prostate adenocarcinomas (PCa), and NE prostate tumors are implicated in aggressive prostate cancer. Formation of NE prostate tumors in the TRAMP mouse model was suppressed in mice lacking the ubiquitin ligase Siah2, which regulates HIF-1alpha availability. Cooperation between HIF-1alpha and FoxA2, a transcription factor expressed in NE tissue, promotes recruitment of p300 to transactivate select HIF-regulated genes, Hes6, Sox9, and Jmjd1a. These HIF-regulated genes are highly expressed in metastatic PCa and required for hypoxia-mediated NE phenotype, metastasis in PCa, and the formation of NE tumors. Tissue-specific expression of FoxA2 combined with Siah2-dependent HIF-1alpha availability enables a transcriptional program required for NE prostate tumor development and NE phenotype in PCa."}
{"STANDARD_NAME":"LU_EZH2_TARGETS_UP","SYSTEMATIC_NAME":"M2139","ORGANISM":"Homo sapiens","PMID":"20708159","AUTHORS":"Lu C,Han HD,Mangala LS,Ali-Fehmi R,Newton CS,Ozbun L,Armaiz-Pena GN,Hu W,Stone RL,Munkarah A,Ravoori MK,Shahzad MM,Lee JW,Mora E,Langley RR,Carroll AR,Matsuo K,Spannuth WA,Schmandt R,Jennings NB,Goodman BW,Jaffe RB,Nick AM,Kim HS,Guven EO,Chen YH,Li LY,Hsu MC,Coleman RL,Calin GA,Denkbas EB,Lim JY,Lee JS,Kundra V,Birrer MJ,Hung MC,Lopez-Berestein G,Sood AK","GEOID":"GSE20381","EXACT_SOURCE":"Fig 5SJ: personal communication","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in SKOV3ip1 cells (ovarian cancer) upon knockdown of EZH2 [GeneID=2146] by RNAi.","DESCRIPTION_FULL":"Although VEGF-targeted therapies are showing promise, new angiogenesis targets are needed to make additional gains. Here, we show that increased Zeste homolog 2 (EZH2) expression in either tumor cells or in tumor vasculature is predictive of poor clinical outcome. The increase in endothelial EZH2 is a direct result of VEGF stimulation by a paracrine circuit that promotes angiogenesis by methylating and silencing vasohibin1 (vash1). Ezh2 silencing in the tumor-associated endothelial cells inhibited angiogenesis mediated by reactivation of VASH1, and reduced ovarian cancer growth, which is further enhanced in combination with ezh2 silencing in tumor cells. Collectively, these data support the potential for targeting ezh2 as an important therapeutic approach."}
{"STANDARD_NAME":"HOELZEL_NF1_TARGETS_UP","SYSTEMATIC_NAME":"M2142","ORGANISM":"Homo sapiens","PMID":"20655465","AUTHORS":"Hölzel M,Huang S,Koster J,Ora I,Lakeman A,Caron H,Nijkamp W,Xie J,Callens T,Asgharzadeh S,Seeger RC,Messiaen L,Versteeg R,Bernards R","EXACT_SOURCE":"Table 1S: Log Ratio (vs pRS) > 0","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in SH-SY5Y cells (neuroblastoma) after knockdown of NF1 [GeneID=4763] by RNAi.","DESCRIPTION_FULL":"Retinoic acid (RA) induces differentiation of neuroblastoma cells in vitro and is used with variable success to treat aggressive forms of this disease. This variability in clinical response to RA is enigmatic, as no mutations in components of the RA signaling cascade have been found. Using a large-scale RNAi genetic screen, we identify crosstalk between the tumor suppressor NF1 and retinoic acid-induced differentiation in neuroblastoma. Loss of NF1 activates RAS-MEK signaling, which in turn represses ZNF423, a critical transcriptional coactivator of the retinoic acid receptors. Neuroblastomas with low levels of both NF1 and ZNF423 have extremely poor outcome. We find NF1 mutations in neuroblastoma cell lines and in primary tumors. Inhibition of MEK signaling downstream of NF1 restores responsiveness to RA, suggesting a therapeutic strategy to overcome RA resistance in NF1-deficient neuroblastomas."}
{"STANDARD_NAME":"HOELZEL_NF1_TARGETS_DN","SYSTEMATIC_NAME":"M2143","ORGANISM":"Homo sapiens","PMID":"20655465","AUTHORS":"Hölzel M,Huang S,Koster J,Ora I,Lakeman A,Caron H,Nijkamp W,Xie J,Callens T,Asgharzadeh S,Seeger RC,Messiaen L,Versteeg R,Bernards R","EXACT_SOURCE":"Table 1S: Log Ratio (vs pRS) < 0","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in SH-SY5Y cells (neuroblastoma) after knockdown of NF1 [GeneID=4763] by RNAi.","DESCRIPTION_FULL":"Retinoic acid (RA) induces differentiation of neuroblastoma cells in vitro and is used with variable success to treat aggressive forms of this disease. This variability in clinical response to RA is enigmatic, as no mutations in components of the RA signaling cascade have been found. Using a large-scale RNAi genetic screen, we identify crosstalk between the tumor suppressor NF1 and retinoic acid-induced differentiation in neuroblastoma. Loss of NF1 activates RAS-MEK signaling, which in turn represses ZNF423, a critical transcriptional coactivator of the retinoic acid receptors. Neuroblastomas with low levels of both NF1 and ZNF423 have extremely poor outcome. We find NF1 mutations in neuroblastoma cell lines and in primary tumors. Inhibition of MEK signaling downstream of NF1 restores responsiveness to RA, suggesting a therapeutic strategy to overcome RA resistance in NF1-deficient neuroblastomas."}
{"STANDARD_NAME":"DEMAGALHAES_AGING_DN","SYSTEMATIC_NAME":"M2145","ORGANISM":"Homo sapiens","PMID":"19189975","AUTHORS":"Magalhães de JP,Curado J,Church GM","EXACT_SOURCE":"http://genomics.senescence.info/genes/microarray.php?show=4&sort=1&page=1 Underexpressed","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"João Pedro de Magalhaães","CONTRIBUTOR_ORG":"University of Liverpool","DESCRIPTION_BRIEF":"Genes consistently underexpressed with age, based on meta-analysis of microarray data.","DESCRIPTION_FULL":"MOTIVATION: Numerous microarray studies of aging have been conducted, yet given the noisy nature of gene expression changes with age, elucidating the transcriptional features of aging and how these relate to physiological, biochemical and pathological changes remains a critical problem. RESULTS: We performed a meta-analysis of age-related gene expression profiles using 27 datasets from mice, rats and humans. Our results reveal several common signatures of aging, including 56 genes consistently overexpressed with age, the most significant of which was APOD, and 17 genes underexpressed with age. We characterized the biological processes associated with these signatures and found that age-related gene expression changes most notably involve an overexpression of inflammation and immune response genes and of genes associated with the lysosome. An underexpression of collagen genes and of genes associated with energy metabolism, particularly mitochondrial genes, as well as alterations in the expression of genes related to apoptosis, cell cycle and cellular senescence biomarkers, were also observed. By employing a new method that emphasizes sensitivity, our work further reveals previously unknown transcriptional changes with age in many genes, processes and functions. We suggest these molecular signatures reflect a combination of degenerative processes but also transcriptional responses to the process of aging. Overall, our results help to understand how transcriptional changes relate to the process of aging and could serve as targets for future studies. AVAILABILITY: http://genomics.senescence.info/uarrays/signatures.html. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online."}
{"STANDARD_NAME":"FIGUEROA_AML_METHYLATION_CLUSTER_1_UP","SYSTEMATIC_NAME":"M2159","ORGANISM":"Homo sapiens","PMID":"20060365","AUTHORS":"Figueroa ME,Lugthart S,Li Y,Erpelinck-Verschueren C,Deng X,Christos PJ,Schifano E,Booth J,Putten van W,Skrabanek L,Campagne F,Mazumdar M,Greally JM,Valk PJ,Löwenberg B,Delwel R,Melnick A","GEOID":"GSE18700","EXACT_SOURCE":"Table 3AS: Hypermethylated","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster 1 of aberrantly hypermethylated genes in blasts from AML (acute myeloid leukemia) patients.","DESCRIPTION_FULL":"We hypothesized that DNA methylation distributes into specific patterns in cancer cells, which reflect critical biological differences. We therefore examined the methylation profiles of 344 patients with acute myeloid leukemia (AML). Clustering of these patients by methylation data segregated patients into 16 groups. Five of these groups defined new AML subtypes that shared no other known feature. In addition, DNA methylation profiles segregated patients with CEBPA aberrations from other subtypes of leukemia, defined four epigenetically distinct forms of AML with NPM1 mutations, and showed that established AML1-ETO, CBFb-MYH11, and PML-RARA leukemia entities are associated with specific methylation profiles. We report a 15 gene methylation classifier predictive of overall survival in an independent patient cohort (p < 0.001, adjusted for known covariates)."}
{"STANDARD_NAME":"FIGUEROA_AML_METHYLATION_CLUSTER_1_DN","SYSTEMATIC_NAME":"M2161","ORGANISM":"Homo sapiens","PMID":"20060365","AUTHORS":"Figueroa ME,Lugthart S,Li Y,Erpelinck-Verschueren C,Deng X,Christos PJ,Schifano E,Booth J,Putten van W,Skrabanek L,Campagne F,Mazumdar M,Greally JM,Valk PJ,Löwenberg B,Delwel R,Melnick A","GEOID":"GSE18700","EXACT_SOURCE":"Table 3AS: Hypomethylated","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster 1 of aberrantly hypomethylated genes in blasts from AML (acute myeloid leukemia) patients.","DESCRIPTION_FULL":"We hypothesized that DNA methylation distributes into specific patterns in cancer cells, which reflect critical biological differences. We therefore examined the methylation profiles of 344 patients with acute myeloid leukemia (AML). Clustering of these patients by methylation data segregated patients into 16 groups. Five of these groups defined new AML subtypes that shared no other known feature. In addition, DNA methylation profiles segregated patients with CEBPA aberrations from other subtypes of leukemia, defined four epigenetically distinct forms of AML with NPM1 mutations, and showed that established AML1-ETO, CBFb-MYH11, and PML-RARA leukemia entities are associated with specific methylation profiles. We report a 15 gene methylation classifier predictive of overall survival in an independent patient cohort (p < 0.001, adjusted for known covariates)."}
{"STANDARD_NAME":"FIGUEROA_AML_METHYLATION_CLUSTER_2_UP","SYSTEMATIC_NAME":"M2162","ORGANISM":"Homo sapiens","PMID":"20060365","AUTHORS":"Figueroa ME,Lugthart S,Li Y,Erpelinck-Verschueren C,Deng X,Christos PJ,Schifano E,Booth J,Putten van W,Skrabanek L,Campagne F,Mazumdar M,Greally JM,Valk PJ,Löwenberg B,Delwel R,Melnick A","GEOID":"GSE18700","EXACT_SOURCE":"Table 3BS: Hypermethylated","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster 2 of aberrantly hypermethylated genes in blasts from AML (acute myeloid leukemia) patients.","DESCRIPTION_FULL":"We hypothesized that DNA methylation distributes into specific patterns in cancer cells, which reflect critical biological differences. We therefore examined the methylation profiles of 344 patients with acute myeloid leukemia (AML). Clustering of these patients by methylation data segregated patients into 16 groups. Five of these groups defined new AML subtypes that shared no other known feature. In addition, DNA methylation profiles segregated patients with CEBPA aberrations from other subtypes of leukemia, defined four epigenetically distinct forms of AML with NPM1 mutations, and showed that established AML1-ETO, CBFb-MYH11, and PML-RARA leukemia entities are associated with specific methylation profiles. We report a 15 gene methylation classifier predictive of overall survival in an independent patient cohort (p < 0.001, adjusted for known covariates)."}
{"STANDARD_NAME":"FIGUEROA_AML_METHYLATION_CLUSTER_2_DN","SYSTEMATIC_NAME":"M2163","ORGANISM":"Homo sapiens","PMID":"20060365","AUTHORS":"Figueroa ME,Lugthart S,Li Y,Erpelinck-Verschueren C,Deng X,Christos PJ,Schifano E,Booth J,Putten van W,Skrabanek L,Campagne F,Mazumdar M,Greally JM,Valk PJ,Löwenberg B,Delwel R,Melnick A","GEOID":"GSE18700","EXACT_SOURCE":"Table 3BS: Hypomethylated","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster 2 of aberrantly hypomethylated genes in blasts from AML (acute myeloid leukemia) patients.","DESCRIPTION_FULL":"We hypothesized that DNA methylation distributes into specific patterns in cancer cells, which reflect critical biological differences. We therefore examined the methylation profiles of 344 patients with acute myeloid leukemia (AML). Clustering of these patients by methylation data segregated patients into 16 groups. Five of these groups defined new AML subtypes that shared no other known feature. In addition, DNA methylation profiles segregated patients with CEBPA aberrations from other subtypes of leukemia, defined four epigenetically distinct forms of AML with NPM1 mutations, and showed that established AML1-ETO, CBFb-MYH11, and PML-RARA leukemia entities are associated with specific methylation profiles. We report a 15 gene methylation classifier predictive of overall survival in an independent patient cohort (p < 0.001, adjusted for known covariates)."}
{"STANDARD_NAME":"FIGUEROA_AML_METHYLATION_CLUSTER_3_UP","SYSTEMATIC_NAME":"M2168","ORGANISM":"Homo sapiens","PMID":"20060365","AUTHORS":"Figueroa ME,Lugthart S,Li Y,Erpelinck-Verschueren C,Deng X,Christos PJ,Schifano E,Booth J,Putten van W,Skrabanek L,Campagne F,Mazumdar M,Greally JM,Valk PJ,Löwenberg B,Delwel R,Melnick A","GEOID":"GSE18700","EXACT_SOURCE":"Table 3CS: Hypermethylated","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster 3 of aberrantly hypermethylated genes in blasts from AML (acute myeloid leukemia) patients.","DESCRIPTION_FULL":"We hypothesized that DNA methylation distributes into specific patterns in cancer cells, which reflect critical biological differences. We therefore examined the methylation profiles of 344 patients with acute myeloid leukemia (AML). Clustering of these patients by methylation data segregated patients into 16 groups. Five of these groups defined new AML subtypes that shared no other known feature. In addition, DNA methylation profiles segregated patients with CEBPA aberrations from other subtypes of leukemia, defined four epigenetically distinct forms of AML with NPM1 mutations, and showed that established AML1-ETO, CBFb-MYH11, and PML-RARA leukemia entities are associated with specific methylation profiles. We report a 15 gene methylation classifier predictive of overall survival in an independent patient cohort (p < 0.001, adjusted for known covariates)."}
{"STANDARD_NAME":"FIGUEROA_AML_METHYLATION_CLUSTER_3_DN","SYSTEMATIC_NAME":"M2169","ORGANISM":"Homo sapiens","PMID":"20060365","AUTHORS":"Figueroa ME,Lugthart S,Li Y,Erpelinck-Verschueren C,Deng X,Christos PJ,Schifano E,Booth J,Putten van W,Skrabanek L,Campagne F,Mazumdar M,Greally JM,Valk PJ,Löwenberg B,Delwel R,Melnick A","GEOID":"GSE18700","EXACT_SOURCE":"Table 3CS: Hypomethylated","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster 3 of aberrantly hypomethylated genes in blasts from AML (acute myeloid leukemia) patients.","DESCRIPTION_FULL":"We hypothesized that DNA methylation distributes into specific patterns in cancer cells, which reflect critical biological differences. We therefore examined the methylation profiles of 344 patients with acute myeloid leukemia (AML). Clustering of these patients by methylation data segregated patients into 16 groups. Five of these groups defined new AML subtypes that shared no other known feature. In addition, DNA methylation profiles segregated patients with CEBPA aberrations from other subtypes of leukemia, defined four epigenetically distinct forms of AML with NPM1 mutations, and showed that established AML1-ETO, CBFb-MYH11, and PML-RARA leukemia entities are associated with specific methylation profiles. We report a 15 gene methylation classifier predictive of overall survival in an independent patient cohort (p < 0.001, adjusted for known covariates)."}
{"STANDARD_NAME":"FIGUEROA_AML_METHYLATION_CLUSTER_4_UP","SYSTEMATIC_NAME":"M2170","ORGANISM":"Homo sapiens","PMID":"20060365","AUTHORS":"Figueroa ME,Lugthart S,Li Y,Erpelinck-Verschueren C,Deng X,Christos PJ,Schifano E,Booth J,Putten van W,Skrabanek L,Campagne F,Mazumdar M,Greally JM,Valk PJ,Löwenberg B,Delwel R,Melnick A","GEOID":"GSE18700","EXACT_SOURCE":"Table 3DS: Hypermethylated","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster 4 of aberrantly hypermethylated genes in blasts from AML (acute myeloid leukemia) patients.","DESCRIPTION_FULL":"We hypothesized that DNA methylation distributes into specific patterns in cancer cells, which reflect critical biological differences. We therefore examined the methylation profiles of 344 patients with acute myeloid leukemia (AML). Clustering of these patients by methylation data segregated patients into 16 groups. Five of these groups defined new AML subtypes that shared no other known feature. In addition, DNA methylation profiles segregated patients with CEBPA aberrations from other subtypes of leukemia, defined four epigenetically distinct forms of AML with NPM1 mutations, and showed that established AML1-ETO, CBFb-MYH11, and PML-RARA leukemia entities are associated with specific methylation profiles. We report a 15 gene methylation classifier predictive of overall survival in an independent patient cohort (p < 0.001, adjusted for known covariates)."}
{"STANDARD_NAME":"FIGUEROA_AML_METHYLATION_CLUSTER_4_DN","SYSTEMATIC_NAME":"M2171","ORGANISM":"Homo sapiens","PMID":"20060365","AUTHORS":"Figueroa ME,Lugthart S,Li Y,Erpelinck-Verschueren C,Deng X,Christos PJ,Schifano E,Booth J,Putten van W,Skrabanek L,Campagne F,Mazumdar M,Greally JM,Valk PJ,Löwenberg B,Delwel R,Melnick A","GEOID":"GSE18700","EXACT_SOURCE":"Table 3DS: Hypomethylated","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster 4 of aberrantly hypomethylated genes in blasts from AML (acute myeloid leukemia) patients.","DESCRIPTION_FULL":"We hypothesized that DNA methylation distributes into specific patterns in cancer cells, which reflect critical biological differences. We therefore examined the methylation profiles of 344 patients with acute myeloid leukemia (AML). Clustering of these patients by methylation data segregated patients into 16 groups. Five of these groups defined new AML subtypes that shared no other known feature. In addition, DNA methylation profiles segregated patients with CEBPA aberrations from other subtypes of leukemia, defined four epigenetically distinct forms of AML with NPM1 mutations, and showed that established AML1-ETO, CBFb-MYH11, and PML-RARA leukemia entities are associated with specific methylation profiles. We report a 15 gene methylation classifier predictive of overall survival in an independent patient cohort (p < 0.001, adjusted for known covariates)."}
{"STANDARD_NAME":"FIGUEROA_AML_METHYLATION_CLUSTER_5_UP","SYSTEMATIC_NAME":"M2172","ORGANISM":"Homo sapiens","PMID":"20060365","AUTHORS":"Figueroa ME,Lugthart S,Li Y,Erpelinck-Verschueren C,Deng X,Christos PJ,Schifano E,Booth J,Putten van W,Skrabanek L,Campagne F,Mazumdar M,Greally JM,Valk PJ,Löwenberg B,Delwel R,Melnick A","GEOID":"GSE18700","EXACT_SOURCE":"Table 3ES: Hypermethylated","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster 5 of aberrantly hypermethylated genes in blasts from AML (acute myeloid leukemia) patients.","DESCRIPTION_FULL":"We hypothesized that DNA methylation distributes into specific patterns in cancer cells, which reflect critical biological differences. We therefore examined the methylation profiles of 344 patients with acute myeloid leukemia (AML). Clustering of these patients by methylation data segregated patients into 16 groups. Five of these groups defined new AML subtypes that shared no other known feature. In addition, DNA methylation profiles segregated patients with CEBPA aberrations from other subtypes of leukemia, defined four epigenetically distinct forms of AML with NPM1 mutations, and showed that established AML1-ETO, CBFb-MYH11, and PML-RARA leukemia entities are associated with specific methylation profiles. We report a 15 gene methylation classifier predictive of overall survival in an independent patient cohort (p < 0.001, adjusted for known covariates)."}
{"STANDARD_NAME":"FIGUEROA_AML_METHYLATION_CLUSTER_5_DN","SYSTEMATIC_NAME":"M2174","ORGANISM":"Homo sapiens","PMID":"20060365","AUTHORS":"Figueroa ME,Lugthart S,Li Y,Erpelinck-Verschueren C,Deng X,Christos PJ,Schifano E,Booth J,Putten van W,Skrabanek L,Campagne F,Mazumdar M,Greally JM,Valk PJ,Löwenberg B,Delwel R,Melnick A","GEOID":"GSE18700","EXACT_SOURCE":"Table 3ES: Hypomethylated","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster 5 of aberrantly hypomethylated genes in blasts from AML (acute myeloid leukemia) patients.","DESCRIPTION_FULL":"We hypothesized that DNA methylation distributes into specific patterns in cancer cells, which reflect critical biological differences. We therefore examined the methylation profiles of 344 patients with acute myeloid leukemia (AML). Clustering of these patients by methylation data segregated patients into 16 groups. Five of these groups defined new AML subtypes that shared no other known feature. In addition, DNA methylation profiles segregated patients with CEBPA aberrations from other subtypes of leukemia, defined four epigenetically distinct forms of AML with NPM1 mutations, and showed that established AML1-ETO, CBFb-MYH11, and PML-RARA leukemia entities are associated with specific methylation profiles. We report a 15 gene methylation classifier predictive of overall survival in an independent patient cohort (p < 0.001, adjusted for known covariates)."}
{"STANDARD_NAME":"FIGUEROA_AML_METHYLATION_CLUSTER_6_UP","SYSTEMATIC_NAME":"M2177","ORGANISM":"Homo sapiens","PMID":"20060365","AUTHORS":"Figueroa ME,Lugthart S,Li Y,Erpelinck-Verschueren C,Deng X,Christos PJ,Schifano E,Booth J,Putten van W,Skrabanek L,Campagne F,Mazumdar M,Greally JM,Valk PJ,Löwenberg B,Delwel R,Melnick A","GEOID":"GSE18700","EXACT_SOURCE":"Table 3FS: Hypermethylated","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster 6 of aberrantly hypermethylated genes in blasts from AML (acute myeloid leukemia) patients.","DESCRIPTION_FULL":"We hypothesized that DNA methylation distributes into specific patterns in cancer cells, which reflect critical biological differences. We therefore examined the methylation profiles of 344 patients with acute myeloid leukemia (AML). Clustering of these patients by methylation data segregated patients into 16 groups. Five of these groups defined new AML subtypes that shared no other known feature. In addition, DNA methylation profiles segregated patients with CEBPA aberrations from other subtypes of leukemia, defined four epigenetically distinct forms of AML with NPM1 mutations, and showed that established AML1-ETO, CBFb-MYH11, and PML-RARA leukemia entities are associated with specific methylation profiles. We report a 15 gene methylation classifier predictive of overall survival in an independent patient cohort (p < 0.001, adjusted for known covariates)."}
{"STANDARD_NAME":"FIGUEROA_AML_METHYLATION_CLUSTER_6_DN","SYSTEMATIC_NAME":"M2178","ORGANISM":"Homo sapiens","PMID":"20060365","AUTHORS":"Figueroa ME,Lugthart S,Li Y,Erpelinck-Verschueren C,Deng X,Christos PJ,Schifano E,Booth J,Putten van W,Skrabanek L,Campagne F,Mazumdar M,Greally JM,Valk PJ,Löwenberg B,Delwel R,Melnick A","GEOID":"GSE18700","EXACT_SOURCE":"Table 3FS: Hypomethylated","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster 6 of aberrantly hypomethylated genes in blasts from AML (acute myeloid leukemia) patients.","DESCRIPTION_FULL":"We hypothesized that DNA methylation distributes into specific patterns in cancer cells, which reflect critical biological differences. We therefore examined the methylation profiles of 344 patients with acute myeloid leukemia (AML). Clustering of these patients by methylation data segregated patients into 16 groups. Five of these groups defined new AML subtypes that shared no other known feature. In addition, DNA methylation profiles segregated patients with CEBPA aberrations from other subtypes of leukemia, defined four epigenetically distinct forms of AML with NPM1 mutations, and showed that established AML1-ETO, CBFb-MYH11, and PML-RARA leukemia entities are associated with specific methylation profiles. We report a 15 gene methylation classifier predictive of overall survival in an independent patient cohort (p < 0.001, adjusted for known covariates)."}
{"STANDARD_NAME":"FIGUEROA_AML_METHYLATION_CLUSTER_7_UP","SYSTEMATIC_NAME":"M2179","ORGANISM":"Homo sapiens","PMID":"20060365","AUTHORS":"Figueroa ME,Lugthart S,Li Y,Erpelinck-Verschueren C,Deng X,Christos PJ,Schifano E,Booth J,Putten van W,Skrabanek L,Campagne F,Mazumdar M,Greally JM,Valk PJ,Löwenberg B,Delwel R,Melnick A","GEOID":"GSE18700","EXACT_SOURCE":"Table 3GS: Hypermethylated","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster 7 of aberrantly hypermethylated genes in blasts from AML (acute myeloid leukemia) patients.","DESCRIPTION_FULL":"We hypothesized that DNA methylation distributes into specific patterns in cancer cells, which reflect critical biological differences. We therefore examined the methylation profiles of 344 patients with acute myeloid leukemia (AML). Clustering of these patients by methylation data segregated patients into 16 groups. Five of these groups defined new AML subtypes that shared no other known feature. In addition, DNA methylation profiles segregated patients with CEBPA aberrations from other subtypes of leukemia, defined four epigenetically distinct forms of AML with NPM1 mutations, and showed that established AML1-ETO, CBFb-MYH11, and PML-RARA leukemia entities are associated with specific methylation profiles. We report a 15 gene methylation classifier predictive of overall survival in an independent patient cohort (p < 0.001, adjusted for known covariates)."}
{"STANDARD_NAME":"FIGUEROA_AML_METHYLATION_CLUSTER_7_DN","SYSTEMATIC_NAME":"M2181","ORGANISM":"Homo sapiens","PMID":"20060365","AUTHORS":"Figueroa ME,Lugthart S,Li Y,Erpelinck-Verschueren C,Deng X,Christos PJ,Schifano E,Booth J,Putten van W,Skrabanek L,Campagne F,Mazumdar M,Greally JM,Valk PJ,Löwenberg B,Delwel R,Melnick A","GEOID":"GSE18700","EXACT_SOURCE":"Table 3GS: Hypomethylated","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster 7 of aberrantly hypomethylated genes in blasts from AML (acute myeloid leukemia) patients.","DESCRIPTION_FULL":"We hypothesized that DNA methylation distributes into specific patterns in cancer cells, which reflect critical biological differences. We therefore examined the methylation profiles of 344 patients with acute myeloid leukemia (AML). Clustering of these patients by methylation data segregated patients into 16 groups. Five of these groups defined new AML subtypes that shared no other known feature. In addition, DNA methylation profiles segregated patients with CEBPA aberrations from other subtypes of leukemia, defined four epigenetically distinct forms of AML with NPM1 mutations, and showed that established AML1-ETO, CBFb-MYH11, and PML-RARA leukemia entities are associated with specific methylation profiles. We report a 15 gene methylation classifier predictive of overall survival in an independent patient cohort (p < 0.001, adjusted for known covariates)."}
{"STANDARD_NAME":"PANGAS_TUMOR_SUPPRESSION_BY_SMAD1_AND_SMAD5_UP","SYSTEMATIC_NAME":"M2185","ORGANISM":"Mus musculus","PMID":"17967875","AUTHORS":"Pangas SA,Li X,Umans L,Zwijsen A,Huylebroeck D,Gutierrez C,Wang D,Martin JF,Jamin SP,Behringer RR,Robertson EJ,Matzuk MM","GEOID":"GSE8156","EXACT_SOURCE":"Table 2S","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in ovarian tumors from mouse models for the BMP SMAD signaling (gonad specific double knockout of SMAD1 and SMAD5 [GeneID=4086, 4090]).","DESCRIPTION_FULL":"The transforming growth factor beta (TGFbeta) family has critical roles in the regulation of fertility. In addition, the pathogenesis of some human cancers is attributed to misregulation of TGFbeta function and SMAD2 or SMAD4 mutations. There are limited mouse models for the BMP signaling SMADs (BR-SMADs) 1, 5, and 8 because of embryonic lethality and suspected genetic redundancy. Using tissue-specific ablation in mice, we deleted the BR-SMADs from somatic cells of ovaries and testes. Single conditional knockouts for Smad1 or Smad5 or mice homozygous null for Smad8 are viable and fertile. Female double Smad1 Smad5 and triple Smad1 Smad5 Smad8 conditional knockout mice become infertile and develop metastatic granulosa cell tumors. Male double Smad1 Smad5 conditional knockout mice are fertile but demonstrate metastatic testicular tumor development. Microarray analysis indicated significant alterations in expression of genes related to the TGFbeta pathway, as well as genes involved in infertility and extracellular matrix production. These data strongly implicate the BR-SMADs as part of a critical developmental pathway in ovaries and testis that, when disrupted, leads to malignant transformation."}
{"STANDARD_NAME":"PANGAS_TUMOR_SUPPRESSION_BY_SMAD1_AND_SMAD5_DN","SYSTEMATIC_NAME":"M2186","ORGANISM":"Mus musculus","PMID":"17967875","AUTHORS":"Pangas SA,Li X,Umans L,Zwijsen A,Huylebroeck D,Gutierrez C,Wang D,Martin JF,Jamin SP,Behringer RR,Robertson EJ,Matzuk MM","GEOID":"GSE8156","EXACT_SOURCE":"Table 1S","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in ovarian tumors from mouse models for the BMP SMAD signaling (gonad specific double knockout of SMAD1 and SMAD5 [GeneID=4086, 4090]).","DESCRIPTION_FULL":"The transforming growth factor beta (TGFbeta) family has critical roles in the regulation of fertility. In addition, the pathogenesis of some human cancers is attributed to misregulation of TGFbeta function and SMAD2 or SMAD4 mutations. There are limited mouse models for the BMP signaling SMADs (BR-SMADs) 1, 5, and 8 because of embryonic lethality and suspected genetic redundancy. Using tissue-specific ablation in mice, we deleted the BR-SMADs from somatic cells of ovaries and testes. Single conditional knockouts for Smad1 or Smad5 or mice homozygous null for Smad8 are viable and fertile. Female double Smad1 Smad5 and triple Smad1 Smad5 Smad8 conditional knockout mice become infertile and develop metastatic granulosa cell tumors. Male double Smad1 Smad5 conditional knockout mice are fertile but demonstrate metastatic testicular tumor development. Microarray analysis indicated significant alterations in expression of genes related to the TGFbeta pathway, as well as genes involved in infertility and extracellular matrix production. These data strongly implicate the BR-SMADs as part of a critical developmental pathway in ovaries and testis that, when disrupted, leads to malignant transformation."}
{"STANDARD_NAME":"TSUTSUMI_FBXW8_TARGETS","SYSTEMATIC_NAME":"M2187","ORGANISM":"Mus musculus","PMID":"17998335","AUTHORS":"Tsutsumi T,Kuwabara H,Arai T,Xiao Y,Decaprio JA","EXACT_SOURCE":"Table 1","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes differentially expressed in E18.5 whole embryos upon knockout of FBXW8 [GeneID=26259].","DESCRIPTION_FULL":"CUL7 binds to SKP1, RBX1, and FBXW8 to form a cullin-RING ligase, or an SKP1-cullin-F box protein complex. The targeted disruption of the Cul7 gene in mice results in significant reduction in embryo size and neonatal lethality. In humans, CUL7 was found to be mutated in the 3-M dwarfism syndrome characterized by severe pre- and postnatal growth retardation, indicating that CUL7 is closely associated with human and mouse growth. We generated mice lacking Fbxw8 by gene trapping. Similar to Cul7(-/-) animals, Fbxw8(-/-) embryos and placentas were smaller than wild-type and heterozygous littermates and placentas. Approximately 30% of the expected number of Fbxw8(-/-) mice survived birth, but these mice remained smaller than their wild-type and heterozygous littermates throughout postnatal development. FBXW8 expression was detected in most organs of wild-type mice examined, and the organs in Fbxw8(-/-) mice were smaller than those in wild-type mice. Fbxw8 expression levels were highest in skeletal muscle, cartilage, and lung tissue. Expression profiling revealed elevated levels of insulin-like growth factor binding protein 1 (IGFBP1) transcripts in Fbxw8(-/-) embryos. Furthermore, we observed increased levels of IGFBP2 in Cul7(-/-) as well as Fbxw8(-/-) fibroblasts. These results demonstrate that the FBXW8-CUL7 complex plays a significant role in growth control."}
{"STANDARD_NAME":"LI_DCP2_BOUND_MRNA","SYSTEMATIC_NAME":"M2188","ORGANISM":"Homo sapiens","PMID":"18039849","AUTHORS":"Li Y,Song MG,Kiledjian M","EXACT_SOURCE":"Table 1S","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes encoding mRNA transcripts specifically bound by DCP2 [GeneID=167227].","DESCRIPTION_FULL":"mRNA decapping is a critical step in the control of mRNA stability and gene expression and is carried out by the Dcp2 decapping enzyme. Dcp2 is an RNA binding protein that must bind RNA in order to recognize the cap for hydrolysis. We demonstrate that human Dcp2 (hDcp2) preferentially binds to a subset of mRNAs and identify sequences at the 5' terminus of the mRNA encoding Rrp41, a core subunit component of the RNA exosome, as a specific hDcp2 substrate. A 60-nucleotide element at the 5' end of Rrp41 mRNA was identified and shown to confer more efficient decapping on a heterologous RNA both in vitro and upon transfection into cells. Moreover, reduction of hDcp2 protein levels in cells resulted in a selective stabilization of the Rrp41 mRNA, confirming it as a downstream target of hDcp2 regulation. These findings demonstrate that hDcp2 can specifically bind to and regulate the stability of a subset of mRNAs, and its intriguing regulation of the 3'-to-5' exonuclease exosome subunit suggests a potential interplay between 5'-end mRNA decapping and 3'-end mRNA decay."}
{"STANDARD_NAME":"SUBTIL_PROGESTIN_TARGETS","SYSTEMATIC_NAME":"M2191","ORGANISM":"Homo sapiens","PMID":"18378698","AUTHORS":"Subtil-Rodríguez A,Millán-Ariño L,Quiles I,Ballaré C,Beato M,Jordan A","GEOID":"GSE9286","EXACT_SOURCE":"Table 1S","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes responding to progestin R5020 [PubChem=36709] treatment of T47D-MTVL cells (breast cancer).","DESCRIPTION_FULL":"Steroid hormone receptors regulate gene expression, interacting with target DNA sequences but also activating cytoplasmic signaling pathways. Using the human 11beta-hydroxysteroid dehydrogenase type 2 (11beta-HSD2) gene as a model, we have investigated the contributions of both effects on a human progesterone-responsive promoter in breast cancer cells. Chromatin immunoprecipitation has identified two different mechanisms of hormone-induced progesterone receptor (PR) recruitment to the 11beta-HSD2 promoter: (i) direct PR binding to DNA at the proximal promoter, abrogated when PR contains a mutated DNA binding domain (DBD), and (ii) STAT5A (signal transducer and activator of transcription 5A)-mediated recruitment of PR to an upstream distal region, impaired by AG490, a JAK/STAT pathway inhibitor. The JAK/STAT inhibitor, as well as expression of dominant-negative STAT5A, impairs hormone induction of 11beta-HSD2. On the other hand, the DBD-mutated PR fully supports 11beta-HSD2 expression. These results, along with data from a deletion analysis, indicate that the distal region is crucial for hormone regulation of 11beta-HSD2. We show active RNA polymerase II tracking from the distal region upon PR and STAT5A binding, concomitant with synthesis of noncoding, hormone-dependent RNAs, suggesting that this region works as a hormone-dependent transcriptional enhancer. In conclusion, coordination of PR transcriptional effects and cytoplasmic signaling activation, in particular the JAK/STAT pathway, are critical in regulating progestin-induced endogenous 11beta-HSD2 gene expression in breast cancer cells. This is not unique to this promoter, as AG490 also alters the expression of other progesterone-regulated genes."}
{"STANDARD_NAME":"OHGUCHI_LIVER_HNF4A_TARGETS_UP","SYSTEMATIC_NAME":"M2193","ORGANISM":"Mus musculus","PMID":"18426912","AUTHORS":"Ohguchi H,Tanaka T,Uchida A,Magoori K,Kudo H,Kim I,Daigo K,Sakakibara I,Okamura M,Harigae H,Sasaki T,Osborne TF,Gonzalez FJ,Hamakubo T,Kodama T,Sakai J","EXACT_SOURCE":"Table 3S","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in liver samples of liver-specific knockout of HNF4A [GeneID=3172].","DESCRIPTION_FULL":"Type 1 iodothyronine deiodinase (Dio1), a selenoenzyme catalyzing the bioactivation of thyroid hormone, is highly expressed in the liver. Dio1 mRNA and enzyme activity levels are markedly reduced in the livers of hepatocyte nuclear factor 4alpha (HNF4alpha)-null mice, thus accounting for its liver-specific expression. Consistent with this deficiency, serum T4 and rT3 concentrations are elevated in these mice compared with those in HNF4alpha-floxed control littermates; however, serum T3 levels are unchanged. Promoter analysis of the mouse Dio1 gene demonstrated that HNF4alpha plays a key role in the transactivation of the mouse Dio1 gene. Deletion and substitution mutation analyses demonstrated that a proximal HNF4alpha site (direct repeat 1 [TGGACAAAGGTGC]; HNF4alpha-RE) is crucial for transactivation of the mouse Dio1 gene by HNF4alpha. Mouse Dio1 is also stimulated by thyroid hormone signaling, but a direct role for thyroid hormone receptor action has not been reported. We also showed that thyroid hormone-inducible Krüppel-like factor 9 (KLF9) stimulates the mouse Dio1 promoter very efficiently through two CACCC sequences that are located on either side of HNF4alpha-RE. Furthermore, KLF9 functions together with HNF4alpha and GATA4 to synergistically activate the mouse Dio1 promoter, suggesting that Dio1 is regulated by thyroid hormone in the mouse through an indirect mechanism requiring prior KLF9 induction. In addition, we showed that physical interactions between the C-terminal zinc finger domain (Cf) of GATA4 and activation function 2 of HNF4alpha and between the basic domain adjacent to Cf of GATA4 and a C-terminal domain of KLF9 are both required for this synergistic response. Taken together, these results suggest that HNF4alpha regulates thyroid hormone homeostasis through transcriptional regulation of the mouse Dio1 gene with GATA4 and KLF9."}
{"STANDARD_NAME":"GABRIELY_MIR21_TARGETS","SYSTEMATIC_NAME":"M2196","ORGANISM":"Homo sapiens","PMID":"18591254","AUTHORS":"Gabriely G,Wurdinger T,Kesari S,Esau CC,Burchard J,Linsley PS,Krichevsky AM","GEOID":"GSE11778","EXACT_SOURCE":"Table 1S: mean p-value < 0.05","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes significantly de-regulated (p < 0.05) by MIR21 [GeneID=406991] in A172 cells (glioma).","DESCRIPTION_FULL":"Substantial data indicate that microRNA 21 (miR-21) is significantly elevated in glioblastoma (GBM) and in many other tumors of various origins. This microRNA has been implicated in various aspects of carcinogenesis, including cellular proliferation, apoptosis, and migration. We demonstrate that miR-21 regulates multiple genes associated with glioma cell apoptosis, migration, and invasiveness, including the RECK and TIMP3 genes, which are suppressors of malignancy and inhibitors of matrix metalloproteinases (MMPs). Specific inhibition of miR-21 with antisense oligonucleotides leads to elevated levels of RECK and TIMP3 and therefore reduces MMP activities in vitro and in a human model of gliomas in nude mice. Moreover, downregulation of miR-21 in glioma cells leads to decreases of their migratory and invasion abilities. Our data suggest that miR-21 contributes to glioma malignancy by downregulation of MMP inhibitors, which leads to activation of MMPs, thus promoting invasiveness of cancer cells. Our results also indicate that inhibition of a single oncomir, like miR-21, with specific antisense molecules can provide a novel therapeutic approach for physiological modulation of multiple proteins whose expression is deregulated in cancer."}
{"STANDARD_NAME":"THILLAINADESAN_ZNF217_TARGETS_UP","SYSTEMATIC_NAME":"M2197","ORGANISM":"Homo sapiens","PMID":"18625718","AUTHORS":"Thillainadesan G,Isovic M,Loney E,Andrews J,Tini M,Torchia J","EXACT_SOURCE":"Table 1: Genes activated","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes bound and activated by ZNF217 [GeneID=7764] in MCF7 cells (breast cancer).","DESCRIPTION_FULL":"The ZNF217 oncoprotein is a constituent of a core transcriptional complex that includes CoREST, histone deacetylase 1/2, lysine demethylase 1, and the C-terminal binding protein 1/2. We have combined genome-wide expression profiling and chromatin immunoprecipitation with directed selection and ligation (ChIP-DSL) to identify a subset of genes directly regulated by ZNF217. Our results establish p15(ink4b) as a direct target of the ZNF217 complex. Downregulation of ZNF217 in MCF-7 breast cancer cells resulted in a dramatic increase in p15(ink4b) expression and coincided with increases in dimethylation of H3-K4 and, surprisingly, a decrease in K9/K14-H3 acetylation. Stimulation of HaCaT cells with transforming growth factor beta (TGF-beta) resulted in a release of ZNF217 and a concomitant binding of SMAD2 to the proximal promoter, which preceded increases in ink4b protein expression. Furthermore, the changes in chromatin marks at the p15(ink4b) promoter following TGF-beta stimulation were similar to those observed following ZNF217 downregulation. Collectively, these results establish the ZNF217 complex as a novel negative regulator of the p15(ink4b) gene and may constitute an important link between amplification of ZNF217 and the loss of TGF-beta responsiveness in breast cancer."}
{"STANDARD_NAME":"THILLAINADESAN_ZNF217_TARGETS_DN","SYSTEMATIC_NAME":"M2199","ORGANISM":"Homo sapiens","PMID":"18625718","AUTHORS":"Thillainadesan G,Isovic M,Loney E,Andrews J,Tini M,Torchia J","EXACT_SOURCE":"Table 1: Genes repressed","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes bound and repressed by ZNF217 [GeneID=7764] in MCF7 cells (breast cancer).","DESCRIPTION_FULL":"The ZNF217 oncoprotein is a constituent of a core transcriptional complex that includes CoREST, histone deacetylase 1/2, lysine demethylase 1, and the C-terminal binding protein 1/2. We have combined genome-wide expression profiling and chromatin immunoprecipitation with directed selection and ligation (ChIP-DSL) to identify a subset of genes directly regulated by ZNF217. Our results establish p15(ink4b) as a direct target of the ZNF217 complex. Downregulation of ZNF217 in MCF-7 breast cancer cells resulted in a dramatic increase in p15(ink4b) expression and coincided with increases in dimethylation of H3-K4 and, surprisingly, a decrease in K9/K14-H3 acetylation. Stimulation of HaCaT cells with transforming growth factor beta (TGF-beta) resulted in a release of ZNF217 and a concomitant binding of SMAD2 to the proximal promoter, which preceded increases in ink4b protein expression. Furthermore, the changes in chromatin marks at the p15(ink4b) promoter following TGF-beta stimulation were similar to those observed following ZNF217 downregulation. Collectively, these results establish the ZNF217 complex as a novel negative regulator of the p15(ink4b) gene and may constitute an important link between amplification of ZNF217 and the loss of TGF-beta responsiveness in breast cancer."}
{"STANDARD_NAME":"PHESSE_TARGETS_OF_APC_AND_MBD2_UP","SYSTEMATIC_NAME":"M2201","ORGANISM":"Mus musculus","PMID":"18644872","AUTHORS":"Phesse TJ,Parry L,Reed KR,Ewan KB,Dale TC,Sansom OJ,Clarke AR","EXACT_SOURCE":"Table 2S: asterics","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in small intestine upon loss of both APC and MBD2 [GeneID=324, 8932].","DESCRIPTION_FULL":"We have previously shown that deficiency of the methyl binding domain protein Mbd2 dramatically reduces adenoma burden on an Apc(Min/+) background. To investigate the mechanism underlying this phenomenon, we have determined the effect of Mbd2 deficiency upon the phenotypes imposed by the conditional deletion of Apc in the small intestine. Microarray analysis demonstrated a partial suppression of the Wnt pathway in the absence of Mbd2. Mbd2 deficiency also influenced one immediate cellular consequence of Apc loss, with normalization of Paneth cell positioning. From a mechanistic perspective, we show that deficiency of Mbd2 elevates levels of the known Wnt target Lect2, and we confirm here that Mbd2 binds the Lect2 promoter in association with NuRD. Furthermore, we show that Lect2 is capable of functioning as a Wnt pathway repressor. These results therefore provide a mechanistic basis for the epigenetic control of adenoma formation mediated through Mbd2."}
{"STANDARD_NAME":"PHESSE_TARGETS_OF_APC_AND_MBD2_DN","SYSTEMATIC_NAME":"M2203","ORGANISM":"Mus musculus","PMID":"18644872","AUTHORS":"Phesse TJ,Parry L,Reed KR,Ewan KB,Dale TC,Sansom OJ,Clarke AR","EXACT_SOURCE":"Table 2S: crosses","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in small intestine upon loss of both APC and MBD2 [GeneID=324, 8932].","DESCRIPTION_FULL":"We have previously shown that deficiency of the methyl binding domain protein Mbd2 dramatically reduces adenoma burden on an Apc(Min/+) background. To investigate the mechanism underlying this phenomenon, we have determined the effect of Mbd2 deficiency upon the phenotypes imposed by the conditional deletion of Apc in the small intestine. Microarray analysis demonstrated a partial suppression of the Wnt pathway in the absence of Mbd2. Mbd2 deficiency also influenced one immediate cellular consequence of Apc loss, with normalization of Paneth cell positioning. From a mechanistic perspective, we show that deficiency of Mbd2 elevates levels of the known Wnt target Lect2, and we confirm here that Mbd2 binds the Lect2 promoter in association with NuRD. Furthermore, we show that Lect2 is capable of functioning as a Wnt pathway repressor. These results therefore provide a mechanistic basis for the epigenetic control of adenoma formation mediated through Mbd2."}
{"STANDARD_NAME":"CARD_MIR302A_TARGETS","SYSTEMATIC_NAME":"M2208","ORGANISM":"Homo sapiens","PMID":"18710938","AUTHORS":"Card DA,Hebbar PB,Li L,Trotter KW,Komatsu Y,Mishina Y,Archer TK","EXACT_SOURCE":"Fig. 4S","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Potential targets of MIR302A [GeneID=407028].","DESCRIPTION_FULL":"Oct4 and Sox2 are transcription factors required for pluripotency during early embryogenesis and for the maintenance of embryonic stem cell (ESC) identity. Functional mechanisms contributing to pluripotency are expected to be associated with genes transcriptionally activated by these factors. Here, we show that Oct4 and Sox2 bind to a conserved promoter region of miR-302, a cluster of eight microRNAs expressed specifically in ESCs and pluripotent cells. The expression of miR-302a is dependent on Oct4/Sox2 in human ESCs (hESCs), and miR-302a is expressed at the same developmental stages and in the same tissues as Oct4 during embryogenesis. miR-302a is predicted to target many cell cycle regulators, and the expression of miR-302a in primary and transformed cell lines promotes an increase in S-phase and a decrease in G(1)-phase cells, reminiscent of an ESC-like cell cycle profile. Correspondingly, the inhibition of miR-302 causes hESCs to accumulate in G(1) phase. Moreover, we show that miR-302a represses the productive translation of an important G(1) regulator, cyclin D1, in hESCs. The transcriptional activation of miR-302 and the translational repression of its targets, such as cyclin D1, may provide a link between Oct4/Sox2 and cell cycle regulation in pluripotent cells."}
{"STANDARD_NAME":"WIERENGA_STAT5A_TARGETS_DN","SYSTEMATIC_NAME":"M2213","ORGANISM":"Homo sapiens","PMID":"18779318","AUTHORS":"Wierenga AT,Vellenga E,Schuringa JJ","EXACT_SOURCE":"Table 2S: Fold change STAT3A(1*6)-ER < 1","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in CD34+ [GeneID=947] cells by intermediate activity levels of STAT5A [GeneID=6776]; predominant long-term growth and self-renewal phenotype.","DESCRIPTION_FULL":"The level of transcription factor activity critically regulates cell fate decisions, such as hematopoietic stem cell (HSC) self-renewal and differentiation. We introduced STAT5A transcriptional activity into human HSCs/progenitor cells in a dose-dependent manner by overexpression of a tamoxifen-inducible STAT5A(1*6)-estrogen receptor fusion protein. Induction of STAT5A activity in CD34(+) cells resulted in impaired myelopoiesis and induction of erythropoiesis, which was most pronounced at the highest STAT5A transactivation levels. In contrast, intermediate STAT5A activity levels resulted in the most pronounced proliferative advantage of CD34(+) cells. This coincided with increased cobblestone area-forming cell and long-term-culture-initiating cell frequencies, which were predominantly elevated at intermediate STAT5A activity levels but not at high STAT5A levels. Self-renewal of progenitors was addressed by serial replating of CFU, and only progenitors containing intermediate STAT5A activity levels contained self-renewal capacity. By extensive gene expression profiling we could identify gene expression patterns of STAT5 target genes that predominantly associated with a self-renewal and long-term expansion phenotype versus those that identified a predominant differentiation phenotype."}
{"STANDARD_NAME":"KANG_AR_TARGETS_DN","SYSTEMATIC_NAME":"M2225","ORGANISM":"Mus musculus","PMID":"18838539","AUTHORS":"Kang HY,Shyr CR,Huang CK,Tsai MY,Orimo H,Lin PC,Chang C,Huang KE","EXACT_SOURCE":"Table 2S: Fold < 1","CHIP":"Mouse_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in osteoblasts from wild type male mice compared to those with AR [GeneID=367] knockout.","DESCRIPTION_FULL":"While androgen receptor (AR)-deficient mice developed osteopenia in endochondral bones due to the high bone turnover with increased bone resorption by osteoclasts, little is known about the mechanism of intramembranous bone loss contributed by AR in osteoblasts. Here, we discovered a dramatic decrease in the area of calcification, new bone, and the number of osteocytes in calvaria from AR-deficient mice related to a reduction in mineralization caused, in part, by the diminished activity of AR-deficient osteoblasts. Enforced AR expression in differentiated osteoblasts boosts mineralization while knockdown of AR expression prevents androgen-induced mineralization. We identified the tissue-nonspecific alkaline phosphatase (TNSALP) and several members of small integrin binding ligand N-linked glycoprotein (SIBLING) gene family as androgen target genes required for AR-mediated bone formation. We show that inorganic phosphate (P(i)) levels and TNSALP activity increased in response to androgen/AR and P(i) signals increase the expression and translocation of AR. The ectopic expression of TNSALP or P(i) partially rescued the bone loss due to AR deficiency. Thus, androgen/AR signaling plays an essential role in bone formation by coordinating the expression of genes associated with phosphate regulation."}
{"STANDARD_NAME":"JOHNSTONE_PARVB_TARGETS_1_UP","SYSTEMATIC_NAME":"M2236","ORGANISM":"Homo sapiens","PMID":"17998334","AUTHORS":"Johnstone CN,Mongroo PS,Rich AS,Schupp M,Bowser MJ,Delemos AS,Tobias JW,Liu Y,Hannigan GE,Rustgi AK","GEOID":"GSE9747","EXACT_SOURCE":"Table 2S: Inc. in all 3","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in MDA-MB-231 cells (breast cancer) upon overexpression of PARVB [GeneID=29780] under all three culture conditions.","DESCRIPTION_FULL":"Parvin-beta is a focal adhesion protein downregulated in human breast cancer cells. Loss of Parvin-beta contributes to increased integrin-linked kinase activity, cell-matrix adhesion, and invasion through the extracellular matrix in vitro. The effect of ectopic Parvin-beta expression on the transcriptional profile of MDA-MB-231 breast cancer cells, which normally do not express Parvin-beta, was evaluated. Particular emphasis was placed upon propagating MDA-MB-231 breast cancer cells in three-dimensional culture matrices. Interestingly, Parvin-beta reexpression in MDA-MB-231 cells increased the mRNA expression, serine 82 phosphorylation (mediated by CDK9), and activity of the nuclear hormone receptor peroxisome proliferator-activated receptor gamma (PPARgamma), and there was a concomitant increase in lipogenic gene expression as a downstream effector of PPARgamma. Importantly, Parvin-beta suppressed breast cancer growth in vivo, with associated decreased proliferation. These data suggest that Parvin-beta might influence breast cancer progression."}
{"STANDARD_NAME":"JOHNSTONE_PARVB_TARGETS_1_DN","SYSTEMATIC_NAME":"M2237","ORGANISM":"Homo sapiens","PMID":"17998334","AUTHORS":"Johnstone CN,Mongroo PS,Rich AS,Schupp M,Bowser MJ,Delemos AS,Tobias JW,Liu Y,Hannigan GE,Rustgi AK","GEOID":"GSE9747","EXACT_SOURCE":"Table 2S: Dec. in all 3","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in MDA-MB-231 cells (breast cancer) upon overexpression of PARVB [GeneID=29780] under all three culture conditions.","DESCRIPTION_FULL":"Parvin-beta is a focal adhesion protein downregulated in human breast cancer cells. Loss of Parvin-beta contributes to increased integrin-linked kinase activity, cell-matrix adhesion, and invasion through the extracellular matrix in vitro. The effect of ectopic Parvin-beta expression on the transcriptional profile of MDA-MB-231 breast cancer cells, which normally do not express Parvin-beta, was evaluated. Particular emphasis was placed upon propagating MDA-MB-231 breast cancer cells in three-dimensional culture matrices. Interestingly, Parvin-beta reexpression in MDA-MB-231 cells increased the mRNA expression, serine 82 phosphorylation (mediated by CDK9), and activity of the nuclear hormone receptor peroxisome proliferator-activated receptor gamma (PPARgamma), and there was a concomitant increase in lipogenic gene expression as a downstream effector of PPARgamma. Importantly, Parvin-beta suppressed breast cancer growth in vivo, with associated decreased proliferation. These data suggest that Parvin-beta might influence breast cancer progression."}
{"STANDARD_NAME":"BRUINS_UVC_RESPONSE_VIA_TP53_GROUP_A","SYSTEMATIC_NAME":"M2242","ORGANISM":"Mus musculus","PMID":"18195040","AUTHORS":"Bruins W,Bruning O,Jonker MJ,Zwart E,van der Hoeven TV,Pennings JL,Rauwerda H,de Vries A,Breit TM","EXACT_SOURCE":"Table 1S: category WTG vs SAG = CatA","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Category A genes: p53-dependent genes whose expression in the absence of S389 phosphorylation is similar to loss of TP53 [GeneID=7157] in MEF (embryonic fibroblast) cells in response to UV-C irradiation.","DESCRIPTION_FULL":"Phosphorylation is important in p53-mediated DNA damage responses. After UV irradiation, p53 is phosphorylated specifically at murine residue Ser389. Phosphorylation mutant p53.S389A cells and mice show reduced apoptosis and compromised tumor suppression after UV irradiation. We investigated the underlying cellular processes by time-series analysis of UV-induced gene expression responses in wild-type, p53.S389A, and p53(-/-) mouse embryonic fibroblasts. The absence of p53.S389 phosphorylation already causes small endogenous gene expression changes for 2,253, mostly p53-dependent, genes. These genes showed basal gene expression levels intermediate to the wild type and p53(-/-), possibly to readjust the p53 network. Overall, the p53.S389A mutation lifts p53-dependent gene repression to a level similar to that of p53(-/-) but has lesser effect on p53-dependently induced genes. In the wild type, the response of 6,058 genes to UV irradiation was strictly biphasic. The early stress response, from 0 to 3 h, results in the activation of processes to prevent the accumulation of DNA damage in cells, whereas the late response, from 12 to 24 h, relates more to reentering the cell cycle. Although the p53.S389A UV gene response was only subtly changed, many cellular processes were significantly affected. The early response was affected the most, and many cellular processes were phase-specifically lost, gained, or altered, e.g., induction of apoptosis, cell division, and DNA repair, respectively. Altogether, p53.S389 phosphorylation seems essential for many p53 target genes and p53-dependent processes."}
{"STANDARD_NAME":"BRUINS_UVC_RESPONSE_VIA_TP53_GROUP_C","SYSTEMATIC_NAME":"M2245","ORGANISM":"Mus musculus","PMID":"18195040","AUTHORS":"Bruins W,Bruning O,Jonker MJ,Zwart E,van der Hoeven TV,Pennings JL,Rauwerda H,de Vries A,Breit TM","EXACT_SOURCE":"Table 1S: category WTG vs SAG = CatC","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Category C genes: p53-independent genes whose expression in the absence of S389 phosphorylation is dissimilar to loss of TP53 [GeneID=7157] in MEF (embryonic fibroblast) cells in response to UV-C irradiation.","DESCRIPTION_FULL":"Phosphorylation is important in p53-mediated DNA damage responses. After UV irradiation, p53 is phosphorylated specifically at murine residue Ser389. Phosphorylation mutant p53.S389A cells and mice show reduced apoptosis and compromised tumor suppression after UV irradiation. We investigated the underlying cellular processes by time-series analysis of UV-induced gene expression responses in wild-type, p53.S389A, and p53(-/-) mouse embryonic fibroblasts. The absence of p53.S389 phosphorylation already causes small endogenous gene expression changes for 2,253, mostly p53-dependent, genes. These genes showed basal gene expression levels intermediate to the wild type and p53(-/-), possibly to readjust the p53 network. Overall, the p53.S389A mutation lifts p53-dependent gene repression to a level similar to that of p53(-/-) but has lesser effect on p53-dependently induced genes. In the wild type, the response of 6,058 genes to UV irradiation was strictly biphasic. The early stress response, from 0 to 3 h, results in the activation of processes to prevent the accumulation of DNA damage in cells, whereas the late response, from 12 to 24 h, relates more to reentering the cell cycle. Although the p53.S389A UV gene response was only subtly changed, many cellular processes were significantly affected. The early response was affected the most, and many cellular processes were phase-specifically lost, gained, or altered, e.g., induction of apoptosis, cell division, and DNA repair, respectively. Altogether, p53.S389 phosphorylation seems essential for many p53 target genes and p53-dependent processes."}
{"STANDARD_NAME":"BRUINS_UVC_RESPONSE_VIA_TP53_GROUP_D","SYSTEMATIC_NAME":"M2246","ORGANISM":"Mus musculus","PMID":"18195040","AUTHORS":"Bruins W,Bruning O,Jonker MJ,Zwart E,van der Hoeven TV,Pennings JL,Rauwerda H,de Vries A,Breit TM","EXACT_SOURCE":"Table 1S: category WTG vs SAG = CatD","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Category D genes: p53-independent genes whose expression in the absence of S389 phosphorylation is similar to loss of TP53 [GeneID=7157] in MEF (embryonic fibroblast) cells in response to UV-C irradiation.","DESCRIPTION_FULL":"Phosphorylation is important in p53-mediated DNA damage responses. After UV irradiation, p53 is phosphorylated specifically at murine residue Ser389. Phosphorylation mutant p53.S389A cells and mice show reduced apoptosis and compromised tumor suppression after UV irradiation. We investigated the underlying cellular processes by time-series analysis of UV-induced gene expression responses in wild-type, p53.S389A, and p53(-/-) mouse embryonic fibroblasts. The absence of p53.S389 phosphorylation already causes small endogenous gene expression changes for 2,253, mostly p53-dependent, genes. These genes showed basal gene expression levels intermediate to the wild type and p53(-/-), possibly to readjust the p53 network. Overall, the p53.S389A mutation lifts p53-dependent gene repression to a level similar to that of p53(-/-) but has lesser effect on p53-dependently induced genes. In the wild type, the response of 6,058 genes to UV irradiation was strictly biphasic. The early stress response, from 0 to 3 h, results in the activation of processes to prevent the accumulation of DNA damage in cells, whereas the late response, from 12 to 24 h, relates more to reentering the cell cycle. Although the p53.S389A UV gene response was only subtly changed, many cellular processes were significantly affected. The early response was affected the most, and many cellular processes were phase-specifically lost, gained, or altered, e.g., induction of apoptosis, cell division, and DNA repair, respectively. Altogether, p53.S389 phosphorylation seems essential for many p53 target genes and p53-dependent processes."}
{"STANDARD_NAME":"BRUINS_UVC_RESPONSE_MIDDLE","SYSTEMATIC_NAME":"M2249","ORGANISM":"Mus musculus","PMID":"18195040","AUTHORS":"Bruins W,Bruning O,Jonker MJ,Zwart E,van der Hoeven TV,Pennings JL,Rauwerda H,de Vries A,Breit TM","EXACT_SOURCE":"Table 2S: Found in=WT_II","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Middle response genes: differentially expressed in the period between 3 h and 12 h after UV-C irradiation of MEF cells (embryonic fibroblast).","DESCRIPTION_FULL":"Phosphorylation is important in p53-mediated DNA damage responses. After UV irradiation, p53 is phosphorylated specifically at murine residue Ser389. Phosphorylation mutant p53.S389A cells and mice show reduced apoptosis and compromised tumor suppression after UV irradiation. We investigated the underlying cellular processes by time-series analysis of UV-induced gene expression responses in wild-type, p53.S389A, and p53(-/-) mouse embryonic fibroblasts. The absence of p53.S389 phosphorylation already causes small endogenous gene expression changes for 2,253, mostly p53-dependent, genes. These genes showed basal gene expression levels intermediate to the wild type and p53(-/-), possibly to readjust the p53 network. Overall, the p53.S389A mutation lifts p53-dependent gene repression to a level similar to that of p53(-/-) but has lesser effect on p53-dependently induced genes. In the wild type, the response of 6,058 genes to UV irradiation was strictly biphasic. The early stress response, from 0 to 3 h, results in the activation of processes to prevent the accumulation of DNA damage in cells, whereas the late response, from 12 to 24 h, relates more to reentering the cell cycle. Although the p53.S389A UV gene response was only subtly changed, many cellular processes were significantly affected. The early response was affected the most, and many cellular processes were phase-specifically lost, gained, or altered, e.g., induction of apoptosis, cell division, and DNA repair, respectively. Altogether, p53.S389 phosphorylation seems essential for many p53 target genes and p53-dependent processes."}
{"STANDARD_NAME":"CERIBELLI_PROMOTERS_INACTIVE_AND_BOUND_BY_NFY","SYSTEMATIC_NAME":"M2252","ORGANISM":"Homo sapiens","PMID":"18212061","AUTHORS":"Ceribelli M,Dolfini D,Merico D,Gatta R,Viganò AM,Pavesi G,Mantovani R","GEOID":"GSE6207,GSE8884,GSE6022","EXACT_SOURCE":"File 8S: foglio2: promoters","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Transcriptionally inactive genes whose promoters (regions between -2 kb to +0.5 kb relative to trascription start sites) where bound by NF-Y transcription factor.","DESCRIPTION_FULL":"NF-Y is a trimeric transcription factor containing H2A/H2B-like subunits, which specifically binds to the CCAAT box, a common eukaryotic promoter element. To gain insights into NF-Y-dependent transcriptional regulation, we assessed its relationships with positive histone marks by chromatin immunoprecipitation-on-chip and correlative-profiling studies. Unbiased identification of binding sites shows that the majority of genes are bound by NF-Y in the promoter and/or within the coding region. Parallel analysis of H3K9-14ac and H3K4me3 sites indicates that NF-Y loci can be divided in two distinct clusters: (i) a large cohort contains H3K9-14ac and H3K4me3 marks and correlates with expression and (ii) a sizeable group is devoid of these marks and is found on transcriptionally silent genes. Within this class, we find that NF-Y binding is associated with negative histone marks, such as H4K20me3 and H3K27me3. NF-Y removal by a dominant negative NF-YA leads to a decrease in the transcription of expressed genes associated with H3K4me3 and H3K9-14ac, while increasing the levels of many inactive genes. These data indicate that NF-Y is embedded in positive as well as in negative methyl histone marks, serving a dual function in transcriptional regulation, as an activator or as a repressor."}
{"STANDARD_NAME":"CERIBELLI_GENES_INACTIVE_AND_BOUND_BY_NFY","SYSTEMATIC_NAME":"M2254","ORGANISM":"Homo sapiens","PMID":"18212061","AUTHORS":"Ceribelli M,Dolfini D,Merico D,Gatta R,Viganò AM,Pavesi G,Mantovani R","GEOID":"GSE6207,GSE6022,GSE8884","EXACT_SOURCE":"File 8S: foglio2: genes","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Transcriptionally inactive genes which where bound by NF-Y transcription factor.","DESCRIPTION_FULL":"NF-Y is a trimeric transcription factor containing H2A/H2B-like subunits, which specifically binds to the CCAAT box, a common eukaryotic promoter element. To gain insights into NF-Y-dependent transcriptional regulation, we assessed its relationships with positive histone marks by chromatin immunoprecipitation-on-chip and correlative-profiling studies. Unbiased identification of binding sites shows that the majority of genes are bound by NF-Y in the promoter and/or within the coding region. Parallel analysis of H3K9-14ac and H3K4me3 sites indicates that NF-Y loci can be divided in two distinct clusters: (i) a large cohort contains H3K9-14ac and H3K4me3 marks and correlates with expression and (ii) a sizeable group is devoid of these marks and is found on transcriptionally silent genes. Within this class, we find that NF-Y binding is associated with negative histone marks, such as H4K20me3 and H3K27me3. NF-Y removal by a dominant negative NF-YA leads to a decrease in the transcription of expressed genes associated with H3K4me3 and H3K9-14ac, while increasing the levels of many inactive genes. These data indicate that NF-Y is embedded in positive as well as in negative methyl histone marks, serving a dual function in transcriptional regulation, as an activator or as a repressor."}
{"STANDARD_NAME":"MIYAGAWA_TARGETS_OF_EWSR1_ETS_FUSIONS_UP","SYSTEMATIC_NAME":"M2255","ORGANISM":"Homo sapiens","PMID":"18212050","AUTHORS":"Miyagawa Y,Okita H,Nakaijima H,Horiuchi Y,Sato B,Taguchi T,Toyoda M,Katagiri YU,Fujimoto J,Hata J,Umezawa A,Kiyokawa N","GEOID":"GSE8596,GSE8665","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes commonly up-regulated in UET-13 cells (mesenchymal progenitor) by expression of EWSR1 [GeneID=2130] fusions with ETS transcription factors FLI1 and ERG [GeneID=2313 ,2078].","DESCRIPTION_FULL":"Ewing's family tumor (EFT) is a rare pediatric tumor of unclear origin that occurs in bone and soft tissue. Specific chromosomal translocations found in EFT cause EWS to fuse to a subset of ets transcription factor genes (ETS), generating chimeric EWS/ETS proteins. These proteins are believed to play a crucial role in the onset and progression of EFT. However, the mechanisms responsible for the EWS/ETS-mediated onset remain unclear. Here we report the establishment of a tetracycline-controlled EWS/ETS-inducible system in human bone marrow-derived mesenchymal progenitor cells (MPCs). Ectopic expression of both EWS/FLI1 and EWS/ERG proteins resulted in a dramatic change of morphology, i.e., from a mesenchymal spindle shape to a small round-to-polygonal cell, one of the characteristics of EFT. EWS/ETS also induced immunophenotypic changes in MPCs, including the disappearance of the mesenchyme-positive markers CD10 and CD13 and the up-regulation of the EFT-positive markers CD54, CD99, CD117, and CD271. Furthermore, a prominent shift from the gene expression profile of MPCs to that of EFT was observed in the presence of EWS/ETS. Together with the observation that EWS/ETS enhances the ability of cells to invade Matrigel, these results suggest that EWS/ETS proteins contribute to alterations of cellular features and confer an EFT-like phenotype to human MPCs."}
{"STANDARD_NAME":"IVANOVSKA_MIR106B_TARGETS","SYSTEMATIC_NAME":"M2258","ORGANISM":"Homo sapiens","PMID":"18212054","AUTHORS":"Ivanovska I,Ball AS,Diaz RL,Magnus JF,Kibukawa M,Schelter JM,Kobayashi SV,Lim L,Burchard J,Jackson AL,Linsley PS,Cleary MA","GEOID":"GSE14831","EXACT_SOURCE":"Table 1S","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"A consensus set of genes that were significantly down-regulated by MIR106B [GeneID=406900].","DESCRIPTION_FULL":"microRNAs in the miR-106b family are overexpressed in multiple tumor types and are correlated with the expression of genes that regulate the cell cycle. Consistent with these observations, miR-106b family gain of function promotes cell cycle progression, whereas loss of function reverses this phenotype. Microarray profiling uncovers multiple targets of the family, including the cyclin-dependent kinase inhibitor p21/CDKN1A. We show that p21 is a direct target of miR-106b and that its silencing plays a key role in miR-106b-induced cell cycle phenotypes. We also show that miR-106b overrides a doxorubicin-induced DNA damage checkpoint. Thus, miR-106b family members contribute to tumor cell proliferation in part by regulating cell cycle progression and by modulating checkpoint functions."}
{"STANDARD_NAME":"KIM_GLIS2_TARGETS_DN","SYSTEMATIC_NAME":"M2262","ORGANISM":"Mus musculus","PMID":"18227149","AUTHORS":"Kim YS,Kang HS,Herbert R,Beak JY,Collins JB,Grissom SF,Jetten AM","GEOID":"GSE8454","EXACT_SOURCE":"Table 2S: Fold change < 0","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Partial list of genes down-regulated in the kidney of GLIS2 [GeneID=84662] knockout mice compared to the wild type.","DESCRIPTION_FULL":"To obtain insight into the physiological functions of the Krüppel-like zinc finger protein Gli-similar 2 (Glis2), mice deficient in Glis2 expression were generated. Glis2 mutant (Glis2(mut)) mice exhibit significantly shorter life spans than do littermate wild-type (WT) mice due to the development of progressive chronic kidney disease with features resembling nephronophthisis. Glis2(mut) mice develop severe renal atrophy involving increased cell death and basement membrane thickening in the proximal convoluted tubules. This development is accompanied by infiltration of lymphocytic inflammatory cells and interstitial/glomerular fibrosis. The severity of the fibrosis, inflammatory infiltrates, and glomerular and tubular changes progresses with age. Blood urea nitrogen and creatinine increase, and Glis2(mut) mice develop proteinuria and ultimately die prematurely of renal failure. A comparison of the gene expression profiles of kidneys from 25-day-old/60-day-old WT and Glis2(mut) mice by microarray analysis showed increased expressions of many genes involved in immune responses/inflammation and fibrosis/tissue remodeling in kidneys of Glis2(mut) mice, including several cytokines and adhesion and extracellular matrix proteins. Our data demonstrate that a deficiency in Glis2 expression leads to tubular atrophy and progressive fibrosis, similar to nephronophthisis, that ultimately results in renal failure. Our study indicates that Glis2 plays a critical role in the maintenance of normal kidney architecture and functions."}
{"STANDARD_NAME":"MIKHAYLOVA_OXIDATIVE_STRESS_RESPONSE_VIA_VHL_UP","SYSTEMATIC_NAME":"M2263","ORGANISM":"Homo sapiens","PMID":"18285459","AUTHORS":"Mikhaylova O,Ignacak ML,Barankiewicz TJ,Harbaugh SV,Yi Y,Maxwell PH,Schneider M,Van Geyte K,Carmeliet P,Revelo MP,Wyder M,Greis KD,Meller J,Czyzyk-Krzeska MF","EXACT_SOURCE":"Fig. 8A","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Proteins significantly induced by oxidative stress (hydrogen peroxide [PubChem=784] in 786-O cells (renal clear cell carcinoma, RCC) expressing VHL [GeneID=7428].","DESCRIPTION_FULL":"Human renal clear cell carcinoma (RCC) is frequently associated with loss of the von Hippel-Lindau (VHL) tumor suppressor (pVHL), which inhibits ubiquitylation and degradation of the alpha subunits of hypoxia-inducible transcription factor. pVHL also ubiquitylates the large subunit of RNA polymerase II, Rpb1, phosphorylated on serine 5 (Ser5) within the C-terminal domain (CTD). A hydroxylated proline 1465 within an LXXLAP motif located N-terminal to the CTD allows the interaction of Rpb1 with pVHL. Here we report that in RCC cells, pVHL regulates expression of Rpb1 and is necessary for low-grade oxidative-stress-induced recruitment of Rpb1 to the DNA-engaged fraction and for its P1465 hydroxylation, phosphorylation, and nondegradative ubiquitylation. Egln-9-type prolyl hydroxylases, PHD1 and PHD2, coimmunoprecipitated with Rpb1 in the chromatin fraction of VHL(+) RCC cells in response to oxidative stress, and PHD1 was necessary for P1465 hydroxylation while PHD2 had an inhibitory effect. P1465 hydroxylation was required for oxidative-stress-induced Ser5 phosphorylation of Rpb1. Importantly, overexpression of wild-type Rpb1 stimulated formation of kidney tumors by VHL(+) cells, and this effect was abolished by P1465A mutation of Rpb1. These data indicate that through this novel pathway involving P1465 hydroxylation and Ser5 phosphorylation of Rbp1, pVHL may regulate tumor growth."}
{"STANDARD_NAME":"MIKHAYLOVA_OXIDATIVE_STRESS_RESPONSE_VIA_VHL_DN","SYSTEMATIC_NAME":"M2269","ORGANISM":"Homo sapiens","PMID":"18285459","AUTHORS":"Mikhaylova O,Ignacak ML,Barankiewicz TJ,Harbaugh SV,Yi Y,Maxwell PH,Schneider M,Van Geyte K,Carmeliet P,Revelo MP,Wyder M,Greis KD,Meller J,Czyzyk-Krzeska MF","EXACT_SOURCE":"Fig. 8B","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Proteins significantly repressed by oxidative stress (hydrogen peroxide [PubChem=784] in 786-O cells (renal clear cell carcinoma, RCC) expressing VHL [GeneID=7428].","DESCRIPTION_FULL":"Human renal clear cell carcinoma (RCC) is frequently associated with loss of the von Hippel-Lindau (VHL) tumor suppressor (pVHL), which inhibits ubiquitylation and degradation of the alpha subunits of hypoxia-inducible transcription factor. pVHL also ubiquitylates the large subunit of RNA polymerase II, Rpb1, phosphorylated on serine 5 (Ser5) within the C-terminal domain (CTD). A hydroxylated proline 1465 within an LXXLAP motif located N-terminal to the CTD allows the interaction of Rpb1 with pVHL. Here we report that in RCC cells, pVHL regulates expression of Rpb1 and is necessary for low-grade oxidative-stress-induced recruitment of Rpb1 to the DNA-engaged fraction and for its P1465 hydroxylation, phosphorylation, and nondegradative ubiquitylation. Egln-9-type prolyl hydroxylases, PHD1 and PHD2, coimmunoprecipitated with Rpb1 in the chromatin fraction of VHL(+) RCC cells in response to oxidative stress, and PHD1 was necessary for P1465 hydroxylation while PHD2 had an inhibitory effect. P1465 hydroxylation was required for oxidative-stress-induced Ser5 phosphorylation of Rpb1. Importantly, overexpression of wild-type Rpb1 stimulated formation of kidney tumors by VHL(+) cells, and this effect was abolished by P1465A mutation of Rpb1. These data indicate that through this novel pathway involving P1465 hydroxylation and Ser5 phosphorylation of Rbp1, pVHL may regulate tumor growth."}
{"STANDARD_NAME":"STEGER_ADIPOGENESIS_DN","SYSTEMATIC_NAME":"M2271","ORGANISM":"Mus musculus","PMID":"18285465","AUTHORS":"Steger DJ,Lefterova MI,Ying L,Stonestrom AJ,Schupp M,Zhuo D,Vakoc AL,Kim JE,Chen J,Lazar MA,Blobel GA,Vakoc CR","EXACT_SOURCE":"Fig. 5: mRNA arrow(s) down","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated during adipogenesis of 3T3-L1 cells (fibroblast).","DESCRIPTION_FULL":"The histone H3 lysine 79 methyltransferase DOT1L/KMT4 can promote an oncogenic pattern of gene expression through binding with several MLL fusion partners found in acute leukemia. However, the normal function of DOT1L in mammalian gene regulation is poorly understood. Here we report that DOT1L recruitment is ubiquitously coupled with active transcription in diverse mammalian cell types. DOT1L preferentially occupies the proximal transcribed region of active genes, correlating with enrichment of H3K79 di- and trimethylation. Furthermore, Dot1l mutant fibroblasts lacked H3K79 di- and trimethylation at all sites examined, indicating that DOT1L is the sole enzyme responsible for these marks. Importantly, we identified chromatin immunoprecipitation (ChIP) assay conditions necessary for reliable H3K79 methylation detection. ChIP-chip tiling arrays revealed that levels of all degrees of genic H3K79 methylation correlate with mRNA abundance and dynamically respond to changes in gene activity. Conversion of H3K79 monomethylation into di- and trimethylation correlated with the transition from low- to high-level gene transcription. We also observed enrichment of H3K79 monomethylation at intergenic regions occupied by DNA-binding transcriptional activators. Our findings highlight several similarities between the patterning of H3K4 methylation and that of H3K79 methylation in mammalian chromatin, suggesting a widespread mechanism for parallel or sequential recruitment of DOT1L and MLL to genes in their normal on state."}
{"STANDARD_NAME":"ZHU_SKIL_TARGETS_UP","SYSTEMATIC_NAME":"M2273","ORGANISM":"Homo sapiens","PMID":"17074815","AUTHORS":"Zhu Q,Krakowski AR,Dunham EE,Wang L,Bandyopadhyay A,Berdeaux R,Martin GS,Sun L,Luo K","EXACT_SOURCE":"Table 2: Regulation=Up","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in A549 cells (lung adenocarcinoma) upon SKIL [GeneID=6498] knockdown by RNAi.","DESCRIPTION_FULL":"SnoN is an important negative regulator of transforming growth factor beta signaling through its ability to interact with and repress the activity of Smad proteins. It was originally identified as an oncoprotein based on its ability to induce anchorage-independent growth in chicken embryo fibroblasts. However, the roles of SnoN in mammalian epithelial carcinogenesis have not been well defined. Here we show for the first time that SnoN plays an important but complex role in human cancer. SnoN expression is highly elevated in many human cancer cell lines, and this high level of SnoN promotes mitogenic transformation of breast and lung cancer cell lines in vitro and tumor growth in vivo, consistent with its proposed pro-oncogenic role. However, this high level of SnoN expression also inhibits epithelial-to-mesenchymal transdifferentiation. Breast and lung cancer cells expressing the shRNA for SnoN exhibited an increase in cell motility, actin stress fiber formation, metalloprotease activity, and extracellular matrix production as well as a reduction in adherens junction proteins. Supporting this observation, in an in vivo breast cancer metastasis model, reducing SnoN expression was found to moderately enhance metastasis of human breast cancer cells to bone and lung. Thus, SnoN plays both pro-tumorigenic and antitumorigenic roles at different stages of mammalian malignant progression. The growth-promoting activity of SnoN appears to require its ability to bind to and repress the Smad proteins, while the antitumorigenic activity can be mediated by both Smad-dependent and Smad-independent pathways and requires the activity of small GTPase RhoA. Our study has established the importance of SnoN in mammalian epithelial carcinogenesis and revealed a novel aspect of SnoN function in malignant progression."}
{"STANDARD_NAME":"ISHIDA_TARGETS_OF_SYT_SSX_FUSIONS","SYSTEMATIC_NAME":"M2278","ORGANISM":"Homo sapiens","PMID":"17101797","AUTHORS":"Ishida M,Miyamoto M,Naitoh S,Tatsuda D,Hasegawa T,Nemoto T,Yokozeki H,Nishioka K,Matsukage A,Ohki M,Ohta T","EXACT_SOURCE":"Table 1","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in synovial sarcoma samples with SYT-SSX fusions resulting from translocation of SS18 [GeneID=SS18] to one of the SSX genes.","DESCRIPTION_FULL":"Chromosomal translocations are frequently associated with soft-tissue sarcomas. Fusion proteins generated by such translocations often play critical roles in tumorigenesis. Therefore, it is important to understand the function of the fusion protein to develop therapeutic interventions. The t(X;18)(p11.2;q11.2) translocation found in synovial sarcomas results in a fusion between the SYT gene on chromosome 18 and an SSX gene on the X chromosome. Although SYT-SSX fusion proteins appear to trigger synovial sarcoma development, little is known about the downstream targets of SYT-SSX. We found that the SYT-SSX fusion protein produces a dominant-negative function for SYT, which is a transcriptional coactivator. We then analyzed the gene expression profiles of SYT-SSX1-expressing HeLa cells using oligonucleotide microarrays and found that the SYT-SSX1 fusion protein directly down-regulated the expression of COM1, a regulator of cell proliferation. COM1 was found to be expressed at relatively low levels in synovial sarcoma tissues and cell lines. We then investigated the impact of conditional COM1 expression in the synovial sarcoma cell line. Increased COM1 expression resulted in induced apoptosis and in reduced cell growth and colony formation activity. Our results suggested that restoration of COM1 expression may be of therapeutic benefit in synovial sarcoma."}
{"STANDARD_NAME":"MAEKAWA_ATF2_TARGETS","SYSTEMATIC_NAME":"M2279","ORGANISM":"Mus musculus","PMID":"17189429","AUTHORS":"Maekawa T,Shinagawa T,Sano Y,Sakuma T,Nomura S,Nagasaki K,Miki Y,Saito-Ohara F,Inazawa J,Kohno T,Yokota J,Ishii S","EXACT_SOURCE":"Table 1S","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in MEF cells (embryonic fibroblast) upon knockout of ATF2 [GeneID=1386].","DESCRIPTION_FULL":"Transcription factor ATF-2 is a nuclear target of stress-activated protein kinases, such as p38, which are activated by various extracellular stresses, including UV light. Here, we show that ATF-2 plays a critical role in hypoxia- and high-cell-density-induced apoptosis and the development of mammary tumors. Compared to wild-type cells, Atf-2(-/-) mouse embryonic fibroblasts (MEFs) were more resistant to hypoxia- and anisomycin-induced apoptosis but remained equally susceptible to other stresses, including UV. Atf-2(-/-) and Atf-2(+/-) MEFs could not express a group of genes, such as Gadd45alpha, whose overexpression can induce apoptosis, in response to hypoxia. Atf-2(-/-) MEFs also had a higher saturation density than wild-type cells and expressed lower levels of Maspin, the breast cancer tumor suppressor, which is also known to enhance cellular sensitivity to apoptotic stimuli. Atf-2(-/-) MEFs underwent a lower degree of apoptosis at high cell density than wild-type cells. Atf-2(+/-) mice were highly prone to mammary tumors that expressed reduced levels of Gadd45alpha and Maspin. The ATF-2 mRNA levels in human breast cancers were lower than those in normal breast tissue. Thus, ATF-2 acts as a tumor susceptibility gene of mammary tumors, at least partly, by activating a group of target genes, including Maspin and Gadd45alpha."}
{"STANDARD_NAME":"ISSAEVA_MLL2_TARGETS","SYSTEMATIC_NAME":"M2281","ORGANISM":"Homo sapiens","PMID":"17178841","AUTHORS":"Issaeva I,Zonis Y,Rozovskaia T,Orlovsky K,Croce CM,Nakamura T,Mazo A,Eisenbach L,Canaani E","EXACT_SOURCE":"Table 1S","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in HeLa cells upon knockdown of MLL2 [GeneID=8085] by RNAi.","DESCRIPTION_FULL":"ALR (MLL2) is a member of the human MLL family, which belongs to a larger SET1 family of histone methyltransferases. We found that ALR is present within a stable multiprotein complex containing a cohort of proteins shared with other SET1 family complexes and several unique components, such as PTIP and the jumonji family member UTX. Like other complexes formed by SET1 family members, the ALR complex exhibited strong H3K4 methyltransferase activity, conferred by the ALR SET domain. By generating ALR knockdown cell lines and comparing their expression profiles to that of control cells, we identified a set of genes whose expression is activated by ALR. Some of these genes were identified by chromatin immunoprecipitation as direct ALR targets. The ALR complex was found to associate in an ALR-dependent fashion with promoters and transcription initiation sites of target genes and to induce H3K4 trimethylation. The most characteristic features of the ALR knockdown cells were changes in the dynamics and mode of cell spreading/polarization, reduced migration capacity, impaired anchorage-dependent and -independent growth, and decreased tumorigenicity in mice. Taken together, our results suggest that ALR is a transcriptional activator that induces the transcription of target genes by covalent histone modification. ALR appears to be involved in the regulation of adhesion-related cytoskeletal events, which might affect cell growth and survival."}
{"STANDARD_NAME":"LINSLEY_MIR16_TARGETS","SYSTEMATIC_NAME":"M2284","ORGANISM":"Homo sapiens","PMID":"17242205","AUTHORS":"Linsley PS,Schelter J,Burchard J,Kibukawa M,Martin MM,Bartz SR,Johnson JM,Cummins JM,Raymond CK,Dai H,Chau N,Cleary M,Jackson AL,Carleton M,Lim L","GEOID":"GSE6838","EXACT_SOURCE":"Table 4S","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Transcripts down-regulated by overexpression of MIR16 family of microRNA molecules in DLD-1 and HCT116 (colon cancer) cells hypomorphic for DICER1 [GeneID=23405].","DESCRIPTION_FULL":"microRNAs (miRNAs) are abundant, approximately 21-nucleotide, noncoding regulatory RNAs. Each miRNA may regulate hundreds of mRNA targets, but the identities of these targets and the processes they regulate are poorly understood. Here we have explored the use of microarray profiling and functional screening to identify targets and biological processes triggered by the transfection of human cells with miRNAs. We demonstrate that a family of miRNAs sharing sequence identity with miRNA-16 (miR-16) negatively regulates cellular growth and cell cycle progression. miR-16-down-regulated transcripts were enriched with genes whose silencing by small interfering RNAs causes an accumulation of cells in G(0)/G(1). Simultaneous silencing of these genes was more effective at blocking cell cycle progression than disruption of the individual genes. Thus, miR-16 coordinately regulates targets that may act in concert to control cell cycle progression."}
{"STANDARD_NAME":"CHENG_TAF7L_TARGETS","SYSTEMATIC_NAME":"M2285","ORGANISM":"Mus musculus","PMID":"17242199","AUTHORS":"Cheng Y,Buffone MG,Kouadio M,Goodheart M,Page DC,Gerton GL,Davidson I,Wang PJ","GEOID":"GSE5510","EXACT_SOURCE":"Table 3","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in testis tissues upon knockout of TAF7L [GeneID=54457].","DESCRIPTION_FULL":"TFIID is a general transcription factor required for transcription of most protein-coding genes by RNA polymerase II. TAF7L is an X-linked germ cell-specific paralogue of TAF7, which is a generally expressed component of TFIID. Here, we report the generation of Taf7l mutant mice by homologous recombination in embryonic stem cells by using the Cre-loxP strategy. While spermatogenesis was completed in Taf7l(-/Y) mice, the weight of Taf7l(-/Y) testis decreased and the amount of sperm in the epididymides was sharply reduced. Mutant epididymal sperm exhibited abnormal morphology, including folded tails. Sperm motility was significantly reduced, and Taf7l(-/Y) males were fertile with reduced litter size. Microarray profiling revealed that the abundance of six gene transcripts (including Fscn1) in Taf7l(-/Y) testes decreased more than twofold. In particular, FSCN1 is an F-action-bundling protein and thus may be critical for normal sperm morphology and sperm motility. Although deficiency of Taf7l may be compensated in part by Taf7, Taf7l has apparently evolved new specialized functions in the gene-selective transcription in male germ cell differentiation. Our mouse studies suggest that mutations in the human TAF7L gene might be implicated in X-linked oligozoospermia in men."}
{"STANDARD_NAME":"CHANGOLKAR_H2AFY_TARGETS_UP","SYSTEMATIC_NAME":"M2287","ORGANISM":"Mus musculus","PMID":"17242180","AUTHORS":"Changolkar LN,Costanzi C,Leu NA,Chen D,McLaughlin KJ,Pehrson JR","EXACT_SOURCE":"Table 1S: ratio ko/cont > 1","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in liver tissue upon knockout of H2AFY [GeneID=9555].","DESCRIPTION_FULL":"macroH2A histone variants have been implicated to function in gene silencing by several studies, including ones showing a preferential association of macroH2A on the inactive X chromosome. To examine macroH2A function in vivo, we knocked out macroH2A1. macroH2A1 knockout mice are viable and fertile. A broad screen of liver gene expression showed no evidence of defects in X inactivation but did identify genes that have increased expression levels in macroH2A1 knockouts. macroH2A1-containing nucleosomes are enriched on the coding and/or upstream regions of these genes, suggesting that their increased expression levels are a direct effect of the absence of macroH2A1. The concentrations of macroH2A1 nucleosomes on these genes are low in the livers of newborn mice, and the macroH2A1 knockout had little effect on the expression levels of these genes in newborn liver. Our results indicate that an increase in liver macroH2A1 during the transition from newborn to young-adult status contributes to a decrease in the expression levels of these genes. These genes cluster in the area of lipid metabolism, and we observed metabolic effects in macroH2A1 knockouts. Our results indicate that the function of macroH2A1 histones is not restricted to gene silencing but also involves fine tuning the expression of specific genes."}
{"STANDARD_NAME":"CHANGOLKAR_H2AFY_TARGETS_DN","SYSTEMATIC_NAME":"M2290","ORGANISM":"Mus musculus","PMID":"17242180","AUTHORS":"Changolkar LN,Costanzi C,Leu NA,Chen D,McLaughlin KJ,Pehrson JR","EXACT_SOURCE":"Table 1S: ratio ko/cont < 1","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in liver tissue upon knockout of H2AFY [GeneID=9555].","DESCRIPTION_FULL":"macroH2A histone variants have been implicated to function in gene silencing by several studies, including ones showing a preferential association of macroH2A on the inactive X chromosome. To examine macroH2A function in vivo, we knocked out macroH2A1. macroH2A1 knockout mice are viable and fertile. A broad screen of liver gene expression showed no evidence of defects in X inactivation but did identify genes that have increased expression levels in macroH2A1 knockouts. macroH2A1-containing nucleosomes are enriched on the coding and/or upstream regions of these genes, suggesting that their increased expression levels are a direct effect of the absence of macroH2A1. The concentrations of macroH2A1 nucleosomes on these genes are low in the livers of newborn mice, and the macroH2A1 knockout had little effect on the expression levels of these genes in newborn liver. Our results indicate that an increase in liver macroH2A1 during the transition from newborn to young-adult status contributes to a decrease in the expression levels of these genes. These genes cluster in the area of lipid metabolism, and we observed metabolic effects in macroH2A1 knockouts. Our results indicate that the function of macroH2A1 histones is not restricted to gene silencing but also involves fine tuning the expression of specific genes."}
{"STANDARD_NAME":"BAKKER_FOXO3_TARGETS_UP","SYSTEMATIC_NAME":"M2294","ORGANISM":"Mus musculus","PMID":"17353275","AUTHORS":"Bakker WJ,Dijk van TB,Amelsvoort Parren-van M,Kolbus A,Yamamoto K,Steinlein P,Verhaak RG,Mak TW,Beug H,Löwenberg B,Lindern von M","EXACT_SOURCE":"Suppl. file 'cluster_list_Bakker.xls': cluster A, D, E","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in I/11 erythroblast cells upon expression of an activated form of FOXO3 [GeneID=2309].","DESCRIPTION_FULL":"The cooperation of stem cell factor (SCF) and erythropoietin (Epo) is required to induce renewal divisions in erythroid progenitors, whereas differentiation to mature erythrocytes requires the presence of Epo only. Epo and SCF activate common signaling pathways such as the activation of protein kinase B (PKB) and the subsequent phosphorylation and inactivation of Foxo3a. In contrast, only Epo activates Stat5. Both Foxo3a and Stat5 promote erythroid differentiation. To understand the interplay of SCF and Epo in maintaining the balance between renewal and differentiation during erythroid development, we investigated differential Foxo3a target regulation by Epo and SCF. Expression profiling revealed that a subset of Foxo3a targets was not inhibited but was activated by Epo. One of these genes was Cited2. Transcriptional control of Epo/Foxo3a-induced Cited2 was studied and compared with that of the Epo-repressed Foxo3a target Btg1. We show that in response to Epo, the allegedly growth-inhibitory factor Foxo3a associates with the allegedly growth-stimulatory factor Stat5 in the nucleus, which is required for Epo-induced Cited2 expression. In contrast, Btg1 expression is controlled by the cooperation of Foxo3a with cyclic AMP- and Jun kinase-dependent Creb family members. Thus, Foxo3a not only is an effector of PKB but also integrates distinct signals to regulate gene expression in erythropoiesis."}
{"STANDARD_NAME":"BAKKER_FOXO3_TARGETS_DN","SYSTEMATIC_NAME":"M2295","ORGANISM":"Mus musculus","PMID":"17353275","AUTHORS":"Bakker WJ,Dijk van TB,Amelsvoort Parren-van M,Kolbus A,Yamamoto K,Steinlein P,Verhaak RG,Mak TW,Beug H,Löwenberg B,Lindern von M","EXACT_SOURCE":"Suppl. file 'cluster_list_Bakker.xls': cluster B, C","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in I/11 erythroblast cells upon expression of an activated form of FOXO3 [GeneID=2309].","DESCRIPTION_FULL":"The cooperation of stem cell factor (SCF) and erythropoietin (Epo) is required to induce renewal divisions in erythroid progenitors, whereas differentiation to mature erythrocytes requires the presence of Epo only. Epo and SCF activate common signaling pathways such as the activation of protein kinase B (PKB) and the subsequent phosphorylation and inactivation of Foxo3a. In contrast, only Epo activates Stat5. Both Foxo3a and Stat5 promote erythroid differentiation. To understand the interplay of SCF and Epo in maintaining the balance between renewal and differentiation during erythroid development, we investigated differential Foxo3a target regulation by Epo and SCF. Expression profiling revealed that a subset of Foxo3a targets was not inhibited but was activated by Epo. One of these genes was Cited2. Transcriptional control of Epo/Foxo3a-induced Cited2 was studied and compared with that of the Epo-repressed Foxo3a target Btg1. We show that in response to Epo, the allegedly growth-inhibitory factor Foxo3a associates with the allegedly growth-stimulatory factor Stat5 in the nucleus, which is required for Epo-induced Cited2 expression. In contrast, Btg1 expression is controlled by the cooperation of Foxo3a with cyclic AMP- and Jun kinase-dependent Creb family members. Thus, Foxo3a not only is an effector of PKB but also integrates distinct signals to regulate gene expression in erythropoiesis."}
{"STANDARD_NAME":"BERGER_MBD2_TARGETS","SYSTEMATIC_NAME":"M2296","ORGANISM":"Mus musculus","PMID":"17353267","AUTHORS":"Berger J,Sansom O,Clarke A,Bird A","EXACT_SOURCE":"Table 1","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes strongly up-regulated in colon tissue upon MBD2 [GeneID=8932] knockout.","DESCRIPTION_FULL":"Gene expression in the gut is segmentally regulated, but little is known of the molecular origin of patterning. Analysis of gene expression in colons from mice lacking the methyl-CpG binding repressor MBD2 revealed frequent activation of genes that are normally only expressed in the exocrine pancreas and duodenum. Reduced DNA methylation activated the same gene set in the colon. No significant differences in DNA methylation between the colon and duodenum were detected, but MBD2 was significantly more abundant in the colon. The relevance of MBD2 concentration was tested in a human colon cancer cell line. Depletion of MBD2 was again found to activate exocrine pancreatic genes. Gene activation in this cell culture model was accompanied by loss of promoter-bound MBD2 and increased histone acetylation. The results suggest that modulation of MBD2 during gut development establishes a region-specific gene expression pattern that is essential for establishing correct segmental character."}
{"STANDARD_NAME":"VANDESLUIS_COMMD1_TARGETS_GROUP_3_DN","SYSTEMATIC_NAME":"M2300","ORGANISM":"Mus musculus","PMID":"17371845","AUTHORS":"van de Sluis B,Muller P,Duran K,Chen A,Groot AJ,Klomp LW,Liu PP,Wijmenga C","GEOID":"E-MEXP-832","EXACT_SOURCE":"Table 5S: Comparison=9.5 dpc KO versus 9.5 dpc WT","CHIP":"Mouse_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in 9.5 days post coitus (dpc) embryos with COMMD1 [GeneID=150684] knockout compared to normal 9.5 dpc embryos.","DESCRIPTION_FULL":"COMMD1 (previously known as MURR1) belongs to a novel family of proteins termed the copper metabolism gene MURR1 domain (COMMD) family. The 10 COMMD family members are well conserved between vertebrates, but the functions of most of the COMMD proteins are unknown. We recently established that COMMD1 is associated with the hepatic copper overload disorder copper toxicosis in Bedlington terriers. Recent in vitro studies indicate that COMMD1 has multiple functions, including sodium transport and NF-kappaB signaling. To elucidate the function of Commd1 in vivo, we generated homozygous Commd1 null (Commd1(-/-)) mice. Commd1(-/-) embryos died in utero between 9.5 and 10.5 days postcoitum (dpc), their development was generally retarded, and placenta vascularization was absent. Microarray analysis identified transcriptional upregulation of hypoxia-inducible factor 1 (HIF-1) target genes in 9.5-dpc Commd1(-/-) embryos compared to normal embryos, a feature that was associated with increased Hif-1alpha stability. Consistent with these observations, COMMD1 physically associates with HIF-1alpha and inhibits HIF-1alpha stability and HIF-1 transactivation in vitro. Thus, this study identifies COMMD1 as a novel regulator of HIF-1 activity and shows that Commd1 deficiency in mice leads to embryonic lethality associated with dysregulated placenta vascularization."}
{"STANDARD_NAME":"VANDESLUIS_COMMD1_TARGETS_GROUP_4_UP","SYSTEMATIC_NAME":"M2301","ORGANISM":"Mus musculus","PMID":"17371845","AUTHORS":"van de Sluis B,Muller P,Duran K,Chen A,Groot AJ,Klomp LW,Liu PP,Wijmenga C","GEOID":"E-MEXP-832","EXACT_SOURCE":"Table 4S-5S: Comparison=9.5 dpc KO and 8.5 dpc WT versus 9.5 dpc WT","CHIP":"Mouse_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in 9.5 days post coitus (dpc) embryos with COMMD1 [GeneID=150684] knockout and in normal 8.5 dpc embryos compared to normal 9.5 dpc embryos.","DESCRIPTION_FULL":"COMMD1 (previously known as MURR1) belongs to a novel family of proteins termed the copper metabolism gene MURR1 domain (COMMD) family. The 10 COMMD family members are well conserved between vertebrates, but the functions of most of the COMMD proteins are unknown. We recently established that COMMD1 is associated with the hepatic copper overload disorder copper toxicosis in Bedlington terriers. Recent in vitro studies indicate that COMMD1 has multiple functions, including sodium transport and NF-kappaB signaling. To elucidate the function of Commd1 in vivo, we generated homozygous Commd1 null (Commd1(-/-)) mice. Commd1(-/-) embryos died in utero between 9.5 and 10.5 days postcoitum (dpc), their development was generally retarded, and placenta vascularization was absent. Microarray analysis identified transcriptional upregulation of hypoxia-inducible factor 1 (HIF-1) target genes in 9.5-dpc Commd1(-/-) embryos compared to normal embryos, a feature that was associated with increased Hif-1alpha stability. Consistent with these observations, COMMD1 physically associates with HIF-1alpha and inhibits HIF-1alpha stability and HIF-1 transactivation in vitro. Thus, this study identifies COMMD1 as a novel regulator of HIF-1 activity and shows that Commd1 deficiency in mice leads to embryonic lethality associated with dysregulated placenta vascularization."}
{"STANDARD_NAME":"VANDESLUIS_NORMAL_EMBRYOS_UP","SYSTEMATIC_NAME":"M2303","ORGANISM":"Mus musculus","PMID":"17371845","AUTHORS":"van de Sluis B,Muller P,Duran K,Chen A,Groot AJ,Klomp LW,Liu PP,Wijmenga C","GEOID":"E-MEXP-832","EXACT_SOURCE":"Table 5S: Comparison=8.5 dpc WT versus 9.5 dpc WT","CHIP":"Mouse_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in normal 9.5 days post coitus (dpc) embryos compared to normal 8.5 dpc and 9.5 dpc embryos.","DESCRIPTION_FULL":"COMMD1 (previously known as MURR1) belongs to a novel family of proteins termed the copper metabolism gene MURR1 domain (COMMD) family. The 10 COMMD family members are well conserved between vertebrates, but the functions of most of the COMMD proteins are unknown. We recently established that COMMD1 is associated with the hepatic copper overload disorder copper toxicosis in Bedlington terriers. Recent in vitro studies indicate that COMMD1 has multiple functions, including sodium transport and NF-kappaB signaling. To elucidate the function of Commd1 in vivo, we generated homozygous Commd1 null (Commd1(-/-)) mice. Commd1(-/-) embryos died in utero between 9.5 and 10.5 days postcoitum (dpc), their development was generally retarded, and placenta vascularization was absent. Microarray analysis identified transcriptional upregulation of hypoxia-inducible factor 1 (HIF-1) target genes in 9.5-dpc Commd1(-/-) embryos compared to normal embryos, a feature that was associated with increased Hif-1alpha stability. Consistent with these observations, COMMD1 physically associates with HIF-1alpha and inhibits HIF-1alpha stability and HIF-1 transactivation in vitro. Thus, this study identifies COMMD1 as a novel regulator of HIF-1 activity and shows that Commd1 deficiency in mice leads to embryonic lethality associated with dysregulated placenta vascularization."}
{"STANDARD_NAME":"VANDESLUIS_NORMAL_EMBRYOS_DN","SYSTEMATIC_NAME":"M2304","ORGANISM":"Mus musculus","PMID":"17371845","AUTHORS":"van de Sluis B,Muller P,Duran K,Chen A,Groot AJ,Klomp LW,Liu PP,Wijmenga C","GEOID":"E-MEXP-832","EXACT_SOURCE":"Table 7S: Comparison=8.5 dpc WT versus 9.5 dpc WT","CHIP":"Mouse_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in normal 9.5 days post coitus (dpc) embryos compared to normal 8.5 dpc and 9.5 dpc embryos.","DESCRIPTION_FULL":"COMMD1 (previously known as MURR1) belongs to a novel family of proteins termed the copper metabolism gene MURR1 domain (COMMD) family. The 10 COMMD family members are well conserved between vertebrates, but the functions of most of the COMMD proteins are unknown. We recently established that COMMD1 is associated with the hepatic copper overload disorder copper toxicosis in Bedlington terriers. Recent in vitro studies indicate that COMMD1 has multiple functions, including sodium transport and NF-kappaB signaling. To elucidate the function of Commd1 in vivo, we generated homozygous Commd1 null (Commd1(-/-)) mice. Commd1(-/-) embryos died in utero between 9.5 and 10.5 days postcoitum (dpc), their development was generally retarded, and placenta vascularization was absent. Microarray analysis identified transcriptional upregulation of hypoxia-inducible factor 1 (HIF-1) target genes in 9.5-dpc Commd1(-/-) embryos compared to normal embryos, a feature that was associated with increased Hif-1alpha stability. Consistent with these observations, COMMD1 physically associates with HIF-1alpha and inhibits HIF-1alpha stability and HIF-1 transactivation in vitro. Thus, this study identifies COMMD1 as a novel regulator of HIF-1 activity and shows that Commd1 deficiency in mice leads to embryonic lethality associated with dysregulated placenta vascularization."}
{"STANDARD_NAME":"SUMI_HNF4A_TARGETS","SYSTEMATIC_NAME":"M2306","ORGANISM":"Homo sapiens","PMID":"17403900","AUTHORS":"Sumi K,Tanaka T,Uchida A,Magoori K,Urashima Y,Ohashi R,Ohguchi H,Okamura M,Kudo H,Daigo K,Maejima T,Kojima N,Sakakibara I,Jiang S,Hasegawa G,Kim I,Osborne TF,Naito M,Gonzalez FJ,Hamakubo T,Kodama T,Sakai J","EXACT_SOURCE":"Table 2","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in HepG2 cells (hepatocellular carcinoma, HCC) upon expression of HNF4A [GeneID=3172] and down-regulated upon knockdown of HNF4A [GeneID=3172] in these cells by RNAi.","DESCRIPTION_FULL":"Cholesterol homeostasis is maintained by coordinate regulation of cholesterol synthesis and its conversion to bile acids in the liver. The excretion of cholesterol from liver and intestine is regulated by ATP-binding cassette half-transporters ABCG5 and ABCG8. The genes for these two proteins are closely linked and divergently transcribed from a common intergenic promoter region. Here, we identified a binding site for hepatocyte nuclear factor 4alpha (HNF4alpha) in the ABCG5/ABCG8 intergenic promoter, through which HNF4alpha strongly activated the expression of a reporter gene in both directions. The HNF4alpha-responsive element is flanked by two conserved GATA boxes that were also required for stimulation by HNF4alpha. GATA4 and GATA6 bind to the GATA boxes, coexpression of GATA4 and HNF4alpha leads to a striking synergistic activation of both the ABCG5 and the ABCG8 promoters, and binding sites for HNF4alpha and GATA were essential for maximal synergism. We also show that HNF4alpha, GATA4, and GATA6 colocalize in the nuclei of HepG2 cells and that a physical interaction between HNF4alpha and GATA4 is critical for the synergistic response. This is the first demonstration that HNF4alpha acts synergistically with GATA factors to activate gene expression in a bidirectional fashion."}
{"STANDARD_NAME":"AZARE_NEOPLASTIC_TRANSFORMATION_BY_STAT3_UP","SYSTEMATIC_NAME":"M2309","ORGANISM":"Homo sapiens","PMID":"17438134","AUTHORS":"Azare J,Leslie K,Al-Ahmadie H,Gerald W,Weinreb PH,Violette SM,Bromberg J","EXACT_SOURCE":"Table 1S: Fold Change < 0","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in RWPE-1 cells (prostate cancer) upon expression of constitutively active form of STAT3 [GeneID=6774].","DESCRIPTION_FULL":"The persistent activation of signal transducer and activator of transcription 3 (Stat3) is a common feature of prostate cancer. However, little is known about the Stat3 targets that may mediate prostate tumorigenesis. The introduction of an activating mutant form of Stat3 (Stat3-C) into immortalized prostate epithelial cells resulted in tumorigenesis. Stat3-C-expressing cells had decreased E-cadherin levels, increased numbers of lamellipodia and stress fibers, and enhanced migratory capacities compared to vector control-expressing cells, with a concomitant increase in the expression of integrin beta6 and its ligand, fibronectin (FN). Exogenously added FN increased cellular migration, with a concomitant loss of E-cadherin expression. The blockade of integrin alphavbeta6 in Stat3-C-expressing cells inhibited migration, increased E-cadherin levels, and reduced colony formation in soft agar. These results demonstrate the sufficiency of constitutively activated Stat3 in mediating prostate tumorigenesis and identify novel Stat3 targets that are involved in promoting cell migration and transformation."}
{"STANDARD_NAME":"AZARE_NEOPLASTIC_TRANSFORMATION_BY_STAT3_DN","SYSTEMATIC_NAME":"M2311","ORGANISM":"Homo sapiens","PMID":"17438134","AUTHORS":"Azare J,Leslie K,Al-Ahmadie H,Gerald W,Weinreb PH,Violette SM,Bromberg J","EXACT_SOURCE":"Table 1S: Fold Change > 0","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in RWPE-1 cells (prostate cancer) upon expression of constitutively active form of STAT3 [GeneID=6774].","DESCRIPTION_FULL":"The persistent activation of signal transducer and activator of transcription 3 (Stat3) is a common feature of prostate cancer. However, little is known about the Stat3 targets that may mediate prostate tumorigenesis. The introduction of an activating mutant form of Stat3 (Stat3-C) into immortalized prostate epithelial cells resulted in tumorigenesis. Stat3-C-expressing cells had decreased E-cadherin levels, increased numbers of lamellipodia and stress fibers, and enhanced migratory capacities compared to vector control-expressing cells, with a concomitant increase in the expression of integrin beta6 and its ligand, fibronectin (FN). Exogenously added FN increased cellular migration, with a concomitant loss of E-cadherin expression. The blockade of integrin alphavbeta6 in Stat3-C-expressing cells inhibited migration, increased E-cadherin levels, and reduced colony formation in soft agar. These results demonstrate the sufficiency of constitutively activated Stat3 in mediating prostate tumorigenesis and identify novel Stat3 targets that are involved in promoting cell migration and transformation."}
{"STANDARD_NAME":"AZARE_STAT3_TARGETS","SYSTEMATIC_NAME":"M2312","ORGANISM":"Homo sapiens","PMID":"17438134","AUTHORS":"Azare J,Leslie K,Al-Ahmadie H,Gerald W,Weinreb PH,Violette SM,Bromberg J","EXACT_SOURCE":"Table 2S: FoldChange > 0","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in RPWE-1 cells by activated STAT3 [GeneID=6774].","DESCRIPTION_FULL":"The persistent activation of signal transducer and activator of transcription 3 (Stat3) is a common feature of prostate cancer. However, little is known about the Stat3 targets that may mediate prostate tumorigenesis. The introduction of an activating mutant form of Stat3 (Stat3-C) into immortalized prostate epithelial cells resulted in tumorigenesis. Stat3-C-expressing cells had decreased E-cadherin levels, increased numbers of lamellipodia and stress fibers, and enhanced migratory capacities compared to vector control-expressing cells, with a concomitant increase in the expression of integrin beta6 and its ligand, fibronectin (FN). Exogenously added FN increased cellular migration, with a concomitant loss of E-cadherin expression. The blockade of integrin alphavbeta6 in Stat3-C-expressing cells inhibited migration, increased E-cadherin levels, and reduced colony formation in soft agar. These results demonstrate the sufficiency of constitutively activated Stat3 in mediating prostate tumorigenesis and identify novel Stat3 targets that are involved in promoting cell migration and transformation."}
{"STANDARD_NAME":"KASLER_HDAC7_TARGETS_1_UP","SYSTEMATIC_NAME":"M2317","ORGANISM":"Mus musculus","PMID":"17470548","AUTHORS":"Kasler HG,Verdin E","GEOID":"GSE7468","EXACT_SOURCE":"Suppl. data: UP by HDAC-VP16 & DN by HDAC7-dP","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in DO11.10 cells (hybridoma) by expression of transciptionally activating form of HDAC7 [GeneID=51564] and down-regulated by its transcriptionally repressing form.","DESCRIPTION_FULL":"Histone deacetylase 7 (HDAC7) is highly expressed in CD4(+)/CD8(+) thymocytes and functions as a signal-dependent repressor of gene transcription during T-cell development. In this study, we expressed HDAC7 mutant proteins in a T-cell line and use DNA microarrays to identify transcriptional targets of HDAC7 in T cells. The changes in gene expression levels were compared to differential gene expression profiles associated with positive and negative thymic selection. This analysis reveals that HDAC7 regulates an extensive set of genes that are differentially expressed during both positive and negative thymic selection. Many of these genes play important functional roles in thymic selection, primarily via modulating the coupling between antigen receptor engagement and downstream signaling events. Consistent with the model that HDAC7 may play an important role in both positive and negative thymic selection, the expression of distinct HDAC7 mutants or the abrogation of HDAC7 expression can either enhance or inhibit the signal-dependent differentiation of a CD4(+)/CD8(+) cell line."}
{"STANDARD_NAME":"KASLER_HDAC7_TARGETS_1_DN","SYSTEMATIC_NAME":"M2318","ORGANISM":"Mus musculus","PMID":"17470548","AUTHORS":"Kasler HG,Verdin E","GEOID":"GSE7468","EXACT_SOURCE":"Suppl. data: DN by HDAC-VP16 & UP by HDAC7-dP","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in DO11.10 cells (hybridoma) by expression of transciptionally activating form of HDAC7 [GeneID=51564] and up-regulated by its transcriptionally repressing form.","DESCRIPTION_FULL":"Histone deacetylase 7 (HDAC7) is highly expressed in CD4(+)/CD8(+) thymocytes and functions as a signal-dependent repressor of gene transcription during T-cell development. In this study, we expressed HDAC7 mutant proteins in a T-cell line and use DNA microarrays to identify transcriptional targets of HDAC7 in T cells. The changes in gene expression levels were compared to differential gene expression profiles associated with positive and negative thymic selection. This analysis reveals that HDAC7 regulates an extensive set of genes that are differentially expressed during both positive and negative thymic selection. Many of these genes play important functional roles in thymic selection, primarily via modulating the coupling between antigen receptor engagement and downstream signaling events. Consistent with the model that HDAC7 may play an important role in both positive and negative thymic selection, the expression of distinct HDAC7 mutants or the abrogation of HDAC7 expression can either enhance or inhibit the signal-dependent differentiation of a CD4(+)/CD8(+) cell line."}
{"STANDARD_NAME":"KASLER_HDAC7_TARGETS_2_UP","SYSTEMATIC_NAME":"M2319","ORGANISM":"Mus musculus","PMID":"17470548","AUTHORS":"Kasler HG,Verdin E","GEOID":"GSE7468","EXACT_SOURCE":"Suppl. data: UP by HDAC-VP16 & UP by HDAC7-dP","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in DO11.10 cells (hybridoma) by expression of transciptionally activating and by transcriptionally repressive forms of HDAC7 [GeneID=51564].","DESCRIPTION_FULL":"Histone deacetylase 7 (HDAC7) is highly expressed in CD4(+)/CD8(+) thymocytes and functions as a signal-dependent repressor of gene transcription during T-cell development. In this study, we expressed HDAC7 mutant proteins in a T-cell line and use DNA microarrays to identify transcriptional targets of HDAC7 in T cells. The changes in gene expression levels were compared to differential gene expression profiles associated with positive and negative thymic selection. This analysis reveals that HDAC7 regulates an extensive set of genes that are differentially expressed during both positive and negative thymic selection. Many of these genes play important functional roles in thymic selection, primarily via modulating the coupling between antigen receptor engagement and downstream signaling events. Consistent with the model that HDAC7 may play an important role in both positive and negative thymic selection, the expression of distinct HDAC7 mutants or the abrogation of HDAC7 expression can either enhance or inhibit the signal-dependent differentiation of a CD4(+)/CD8(+) cell line."}
{"STANDARD_NAME":"KASLER_HDAC7_TARGETS_2_DN","SYSTEMATIC_NAME":"M2322","ORGANISM":"Mus musculus","PMID":"17470548","AUTHORS":"Kasler HG,Verdin E","GEOID":"GSE7468","EXACT_SOURCE":"Suppl. data: DN by HDAC-VP16 & DN by HDAC7-dP","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in DO11.10 cells (hybridoma) by expression of transciptionally activating and by transcriptionally repressive forms of HDAC7 [GeneID=51564].","DESCRIPTION_FULL":"Histone deacetylase 7 (HDAC7) is highly expressed in CD4(+)/CD8(+) thymocytes and functions as a signal-dependent repressor of gene transcription during T-cell development. In this study, we expressed HDAC7 mutant proteins in a T-cell line and use DNA microarrays to identify transcriptional targets of HDAC7 in T cells. The changes in gene expression levels were compared to differential gene expression profiles associated with positive and negative thymic selection. This analysis reveals that HDAC7 regulates an extensive set of genes that are differentially expressed during both positive and negative thymic selection. Many of these genes play important functional roles in thymic selection, primarily via modulating the coupling between antigen receptor engagement and downstream signaling events. Consistent with the model that HDAC7 may play an important role in both positive and negative thymic selection, the expression of distinct HDAC7 mutants or the abrogation of HDAC7 expression can either enhance or inhibit the signal-dependent differentiation of a CD4(+)/CD8(+) cell line."}
{"STANDARD_NAME":"BILANGES_SERUM_SENSITIVE_VIA_TSC1","SYSTEMATIC_NAME":"M2332","ORGANISM":"Mus musculus","PMID":"17562867","AUTHORS":"Bilanges B,Argonza-Barrett R,Kolesnichenko M,Skinner C,Nair M,Chen M,Stokoe D","EXACT_SOURCE":"Table 5S: genes 1-27","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes translationally up-regulated by serum in MEF cells (embryonic fibroblast) lacking TSC1 [GeneID=7248].","DESCRIPTION_FULL":"The tuberous sclerosis complex (TSC) proteins TSC1 and TSC2 regulate protein translation by inhibiting the serine/threonine kinase mTORC1 (for mammalian target of rapamycin complex 1). However, how TSC1 and TSC2 control overall protein synthesis and the translation of specific mRNAs in response to different mitogenic and nutritional stimuli is largely unknown. We show here that serum withdrawal inhibits mTORC1 signaling, causes disassembly of translation initiation complexes, and causes mRNA redistribution from polysomes to subpolysomes in wild-type mouse embryo fibroblasts (MEFs). In contrast, these responses are defective in Tsc1(-/-) or Tsc2(-/-) MEFs. Microarray analysis of polysome- and subpolysome-associated mRNAs uncovered specific mRNAs that are translationally regulated by serum, 90% of which are TSC1 and TSC2 dependent. Surprisingly, the mTORC1 inhibitor, rapamycin, abolished mTORC1 activity but only affected approximately 40% of the serum-regulated mRNAs. Serum-dependent signaling through mTORC1 and polysome redistribution of global and individual mRNAs were restored upon re-expression of TSC1 and TSC2. Serum-responsive mRNAs that are sensitive to inhibition by rapamycin are highly enriched for terminal oligopyrimidine and for very short 5' and 3' untranslated regions. These data demonstrate that the TSC1/TSC2 complex regulates protein translation through mainly mTORC1-dependent mechanisms and implicates a discrete profile of deregulated mRNA translation in tuberous sclerosis pathology."}
{"STANDARD_NAME":"KIM_TIAL1_TARGETS","SYSTEMATIC_NAME":"M2338","ORGANISM":"Homo sapiens","PMID":"17682065","AUTHORS":"Kim HS,Kuwano Y,Zhan M,Pullmann R Jr,Mazan-Mamczarz K,Li H,Kedersha N,Anderson P,Wilce MC,Gorospe M,Wilce JA","EXACT_SOURCE":"Table 1","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top scoring genes whose transcripts bound TIAR1 [GeneID=7073] in extracts from RKO cells (colon cancer).","DESCRIPTION_FULL":"The RNA-binding protein TIAR (related to TIA-1 [T-cell-restricted intracellular antigen 1]) was shown to associate with subsets of mRNAs bearing U-rich sequences in their 3' untranslated regions. TIAR can function as a translational repressor, particularly in response to cytotoxic agents. Using unstressed colon cancer cells, collections of mRNAs associated with TIAR were isolated by immunoprecipitation (IP) of (TIAR-RNA) ribonucleoprotein (RNP) complexes, identified by microarray analysis, and used to elucidate a common signature motif present among TIAR target transcripts. The predicted TIAR motif was an unexpectedly cytosine-rich, 28- to 32-nucleotide-long element forming a stem and a loop of variable size with an additional side loop. The ability of TIAR to bind an RNA oligonucleotide with a representative C-rich TIAR motif sequence was verified in vitro using surface plasmon resonance. By this analysis, TIAR containing two or three RNA recognition domains (TIAR12 and TIAR123) showed low but significant binding to the C-rich sequence. In vivo, insertion of the C-rich motif into a heterologous reporter strongly suppressed its translation in cultured cells. Using this signature motif, an additional approximately 2,209 UniGene targets were identified (2.0% of the total UniGene database). A subset of specific mRNAs were validated by RNP IP analysis. Interestingly, in response to treatment with short-wavelength UV light (UVC), a stress agent causing DNA damage, each of these target mRNAs bearing C-rich motifs dissociated from TIAR. In turn, expression of the encoded proteins was elevated in a TIAR-dependent manner. In sum, we report the identification of a C-rich signature motif present in TIAR target mRNAs whose association with TIAR decreases following exposure to a stress-causing agent."}
{"STANDARD_NAME":"DUAN_PRDM5_TARGETS","SYSTEMATIC_NAME":"M2339","ORGANISM":"Homo sapiens","PMID":"17636019","AUTHORS":"Duan Z,Person RE,Lee HH,Huang S,Donadieu J,Badolato R,Grimes HL,Papayannopoulou T,Horwitz MS","EXACT_SOURCE":"Table 2","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Direct targets of PRDM5 [GeneID=11107].","DESCRIPTION_FULL":"Gfi1 transcriptionally governs hematopoiesis, and its mutations produce neutropenia. In an effort to identify Gfi1-interacting proteins and also to generate new candidate genes causing neutropenia, we performed a yeast two-hybrid screen with Gfi1. Among other Gfi1-interacting proteins, we identified a previously uncharacterized member of the PR domain-containing family of tumor suppressors, PRDM5. PRDM5 has 16 zinc fingers, and we show that it acts as a sequence-specific, DNA binding transcription factor that targets hematopoiesis-associated protein-coding and microRNA genes, including many that are also targets of Gfi1. PRDM5 epigenetically regulates transcription similarly to Gfi1: it recruits the histone methyltransferase G9a and class I histone deacetylases to its target gene promoters and demonstrates repressor activity on synthetic reporters; on endogenous target genes, however, it functions as an activator, in addition to a repressor. Interestingly, genes that PRDM5 activates, as opposed to those it represses, are also targets of Gfi1, suggesting a competitive mechanism through which two repressors could cooperate in order to become transcriptional activators. In neutropenic patients, we identified PRDM5 protein sequence variants perturbing transcriptional function, suggesting a potentially important role in hematopoiesis."}
{"STANDARD_NAME":"TORCHIA_TARGETS_OF_EWSR1_FLI1_FUSION_TOP20_UP","SYSTEMATIC_NAME":"M2346","ORGANISM":"Mus musculus","PMID":"17875932","AUTHORS":"Torchia EC,Boyd K,Rehg JE,Qu C,Baker SJ","EXACT_SOURCE":"Table 5: Ratio > 0","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top 20 up-regulated genes in leukemic progenitor cells expressing activated fusion of ESWR1 and FLI1 [GeneID=2130, 2313] compared to normal hematopoetic progenitors.","DESCRIPTION_FULL":"EWS/FLI-1 is a chimeric oncogene generated by chromosomal translocation in Ewing tumors, a family of poorly differentiated pediatric tumors arising predominantly in bone but also in soft tissue. The fusion gene combines sequences encoding a strong transactivating domain from the EWS protein with the DNA binding domain of FLI-1, an ETS transcription factor. A related fusion, TLS/ERG, has been found in myeloid leukemia. To determine EWS/FLI-1 function in vivo, we engineered mice with Cre-inducible expression of EWS/FLI-1 from the ubiquitous Rosa26 locus. When crossed with Mx1-cre mice, Cre-mediated activation of EWS/FLI-1 resulted in the rapid development of myeloid/erythroid leukemia characterized by expansion of primitive mononuclear cells causing hepatomegaly, splenomegaly, severe anemia, and death. The disease could be transplanted serially into naïve recipients. Gene expression profiles of primary and transplanted animals were highly similar, suggesting that activation of EWS/FLI-1 was the primary event leading to disease in this model. The Cre-inducible EWS/FLI-1 mouse provides a novel model system to study the contribution of this oncogene to malignant disease in vivo."}
{"STANDARD_NAME":"TORCHIA_TARGETS_OF_EWSR1_FLI1_FUSION_TOP20_DN","SYSTEMATIC_NAME":"M2347","ORGANISM":"Mus musculus","PMID":"17875932","AUTHORS":"Torchia EC,Boyd K,Rehg JE,Qu C,Baker SJ","EXACT_SOURCE":"Table 5: Ratio < 0","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Top 20 down-regulated genes in leukemic progenitor cells expressing activated fusion of ESWR1 and FLI1 [GeneID=2130, 2313] compared to normal hematopoetic progenitors.","DESCRIPTION_FULL":"EWS/FLI-1 is a chimeric oncogene generated by chromosomal translocation in Ewing tumors, a family of poorly differentiated pediatric tumors arising predominantly in bone but also in soft tissue. The fusion gene combines sequences encoding a strong transactivating domain from the EWS protein with the DNA binding domain of FLI-1, an ETS transcription factor. A related fusion, TLS/ERG, has been found in myeloid leukemia. To determine EWS/FLI-1 function in vivo, we engineered mice with Cre-inducible expression of EWS/FLI-1 from the ubiquitous Rosa26 locus. When crossed with Mx1-cre mice, Cre-mediated activation of EWS/FLI-1 resulted in the rapid development of myeloid/erythroid leukemia characterized by expansion of primitive mononuclear cells causing hepatomegaly, splenomegaly, severe anemia, and death. The disease could be transplanted serially into naïve recipients. Gene expression profiles of primary and transplanted animals were highly similar, suggesting that activation of EWS/FLI-1 was the primary event leading to disease in this model. The Cre-inducible EWS/FLI-1 mouse provides a novel model system to study the contribution of this oncogene to malignant disease in vivo."}
{"STANDARD_NAME":"TORCHIA_TARGETS_OF_EWSR1_FLI1_FUSION_UP","SYSTEMATIC_NAME":"M2348","ORGANISM":"Mus musculus","PMID":"17875932","AUTHORS":"Torchia EC,Boyd K,Rehg JE,Qu C,Baker SJ","EXACT_SOURCE":"Table 4S: Ratio > 1","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in leukemic progenitor cells expressing activated fusion of ESWR1 and FLI1 [GeneID=2130, 2313] compared to normal hematopoetic progenitors.","DESCRIPTION_FULL":"EWS/FLI-1 is a chimeric oncogene generated by chromosomal translocation in Ewing tumors, a family of poorly differentiated pediatric tumors arising predominantly in bone but also in soft tissue. The fusion gene combines sequences encoding a strong transactivating domain from the EWS protein with the DNA binding domain of FLI-1, an ETS transcription factor. A related fusion, TLS/ERG, has been found in myeloid leukemia. To determine EWS/FLI-1 function in vivo, we engineered mice with Cre-inducible expression of EWS/FLI-1 from the ubiquitous Rosa26 locus. When crossed with Mx1-cre mice, Cre-mediated activation of EWS/FLI-1 resulted in the rapid development of myeloid/erythroid leukemia characterized by expansion of primitive mononuclear cells causing hepatomegaly, splenomegaly, severe anemia, and death. The disease could be transplanted serially into naïve recipients. Gene expression profiles of primary and transplanted animals were highly similar, suggesting that activation of EWS/FLI-1 was the primary event leading to disease in this model. The Cre-inducible EWS/FLI-1 mouse provides a novel model system to study the contribution of this oncogene to malignant disease in vivo."}
{"STANDARD_NAME":"VANLOO_SP3_TARGETS_UP","SYSTEMATIC_NAME":"M2353","ORGANISM":"Mus musculus","PMID":"17923686","AUTHORS":"van Loo PF,Mahtab EA,Wisse LJ,Hou J,Grosveld F,Suske G,Philipsen S,Gittenberger-de Groot AC","GEOID":"GSE9124","EXACT_SOURCE":"Fig. 7B: FC > 1","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in E12.5 hearts from mice with SP3 [GeneID=6670] knockout compared to the wild type organ.","DESCRIPTION_FULL":"Mice lacking the zinc finger transcription factor specificity protein 3 (Sp3) die prenatally in the C57BL/6 background. To elucidate the cause of mortality we analyzed the potential role of Sp3 in embryonic heart development. Sp3 null hearts display defective looping at embryonic day 10.5 (E10.5), and at E14.5 the Sp3 null mutants have developed a range of severe cardiac malformations. In an attempt to position Sp3 in the cardiac developmental hierarchy, we analyzed the expression patterns of >15 marker genes in Sp3 null hearts. Expression of cardiac ankyrin repeat protein (Carp) was downregulated prematurely after E12.5, while expression of the other marker genes was not affected. Chromatin immunoprecipitation analysis revealed that Sp3 is bound to the Carp promoter region in vivo. Microarray analysis indicates that small-molecule metabolism and cell-cell interactions are the most significantly affected biological processes in E12.5 Sp3 null myocardium. Since the epicardium showed distension from the myocardium, we studied expression of Wt1, a marker for epicardial cells. Wt1 expression was diminished in epicardium-derived cells in the myocardium of Sp3 null hearts. We conclude that Sp3 is required for normal cardiac development and suggest that it has a crucial role in myocardial differentiation."}
{"STANDARD_NAME":"VANLOO_SP3_TARGETS_DN","SYSTEMATIC_NAME":"M2354","ORGANISM":"Mus musculus","PMID":"17923686","AUTHORS":"van Loo PF,Mahtab EA,Wisse LJ,Hou J,Grosveld F,Suske G,Philipsen S,Gittenberger-de Groot AC","GEOID":"GSE9124","EXACT_SOURCE":"Fig. 7B: FC < 1","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in E12.5 hearts from mice with SP3 [GeneID=6670] knockout compared to the wild type organ.","DESCRIPTION_FULL":"Mice lacking the zinc finger transcription factor specificity protein 3 (Sp3) die prenatally in the C57BL/6 background. To elucidate the cause of mortality we analyzed the potential role of Sp3 in embryonic heart development. Sp3 null hearts display defective looping at embryonic day 10.5 (E10.5), and at E14.5 the Sp3 null mutants have developed a range of severe cardiac malformations. In an attempt to position Sp3 in the cardiac developmental hierarchy, we analyzed the expression patterns of >15 marker genes in Sp3 null hearts. Expression of cardiac ankyrin repeat protein (Carp) was downregulated prematurely after E12.5, while expression of the other marker genes was not affected. Chromatin immunoprecipitation analysis revealed that Sp3 is bound to the Carp promoter region in vivo. Microarray analysis indicates that small-molecule metabolism and cell-cell interactions are the most significantly affected biological processes in E12.5 Sp3 null myocardium. Since the epicardium showed distension from the myocardium, we studied expression of Wt1, a marker for epicardial cells. Wt1 expression was diminished in epicardium-derived cells in the myocardium of Sp3 null hearts. We conclude that Sp3 is required for normal cardiac development and suggest that it has a crucial role in myocardial differentiation."}
{"STANDARD_NAME":"YUAN_ZNF143_PARTNERS","SYSTEMATIC_NAME":"M2355","ORGANISM":"Homo sapiens","PMID":"17938208","AUTHORS":"Yuan CC,Zhao X,Florens L,Swanson SK,Washburn MP,Hernandez N","EXACT_SOURCE":"Fig. 2B","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Proteins associated with ZNF143 [GeneID=7702] in HeLa cells, based on MudPIT analysis.","DESCRIPTION_FULL":"Chromatin remodeling and histone modification are essential for eukaryotic transcription regulation, but little is known about chromatin-modifying activities acting on RNA polymerase III (Pol III)-transcribed genes. The human U6 small nuclear RNA promoter, located 5' of the transcription start site, consists of a core region directing basal transcription and an activating region that recruits the transcription factors Oct-1 and Staf (ZNF143). Oct-1 activates transcription in part by helping recruit core binding factors, but nothing is known about the mechanisms of transcription activation by Staf. We show that Staf activates U6 transcription from a preassembled chromatin template in vitro and associates with several proteins linked to chromatin modification, among them chromodomain-helicase-DNA binding protein 8 (CHD8). CHD8 binds to histone H3 di- and trimethylated on lysine 4. It resides on the human U6 promoter as well as the mRNA IRF3 promoter in vivo and contributes to efficient transcription from both these promoters. Thus, Pol III transcription from type 3 promoters uses some of the same factors used for chromatin remodeling at Pol II promoters."}
{"STANDARD_NAME":"RAFFEL_VEGFA_TARGETS_UP","SYSTEMATIC_NAME":"M2357","ORGANISM":"Mus musculus","PMID":"18981216","AUTHORS":"Raffel GD,Chu GC,Jesneck JL,Cullen DE,Bronson RT,Bernard OA,Gilliland DG","GEOID":"GSE12628","EXACT_SOURCE":"Table 2: Signal-to-noise ratio > 0","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in hearts of E18.5 embryos upon knockout of VEGFA [GeneID=7422].","DESCRIPTION_FULL":"The infant leukemia-associated gene Ott1 (Rbm15) has broad regulatory effects within murine hematopoiesis. However, germ line Ott1 deletion results in fetal demise prior to embryonic day 10.5, indicating additional developmental requirements for Ott1. The spen gene family, to which Ott1 belongs, has a transcriptional activation/repression domain and RNA recognition motifs and has a significant role in the development of the head and thorax in Drosophila melanogaster. Early Ott1-deficient embryos show growth retardation and incomplete closure of the notochord. Further analysis demonstrated placental defects in the spongiotrophoblast and syncytiotrophoblast layers, resulting in an arrest of vascular branching morphogenesis. The rescue of the placental defect using a conditional allele with a trophoblast-sparing cre transgene allowed embryos to form a normal placenta and survive gestation. This outcome showed that the process of vascular branching morphogenesis in Ott1-deficient animals was regulated by the trophoblast compartment rather than the fetal vasculature. Mice surviving to term manifested hyposplenia and abnormal cardiac development. Analysis of global gene expression of Ott1-deficient embryonic hearts showed an enrichment of hypoxia-related genes and a significant alteration of several candidate genes critical for cardiac development. Thus, Ott1-dependent pathways, in addition to being implicated in leukemogenesis, may also be important for the pathogenesis of placental insufficiency and cardiac malformations."}
{"STANDARD_NAME":"RAFFEL_VEGFA_TARGETS_DN","SYSTEMATIC_NAME":"M2358","ORGANISM":"Mus musculus","PMID":"18981216","AUTHORS":"Raffel GD,Chu GC,Jesneck JL,Cullen DE,Bronson RT,Bernard OA,Gilliland DG","GEOID":"GSE12628","EXACT_SOURCE":"Table 2: Signal-to-noise ratio < 0","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in hearts of E18.5 embryos upon knockout of VEGFA [GeneID=7422].","DESCRIPTION_FULL":"The infant leukemia-associated gene Ott1 (Rbm15) has broad regulatory effects within murine hematopoiesis. However, germ line Ott1 deletion results in fetal demise prior to embryonic day 10.5, indicating additional developmental requirements for Ott1. The spen gene family, to which Ott1 belongs, has a transcriptional activation/repression domain and RNA recognition motifs and has a significant role in the development of the head and thorax in Drosophila melanogaster. Early Ott1-deficient embryos show growth retardation and incomplete closure of the notochord. Further analysis demonstrated placental defects in the spongiotrophoblast and syncytiotrophoblast layers, resulting in an arrest of vascular branching morphogenesis. The rescue of the placental defect using a conditional allele with a trophoblast-sparing cre transgene allowed embryos to form a normal placenta and survive gestation. This outcome showed that the process of vascular branching morphogenesis in Ott1-deficient animals was regulated by the trophoblast compartment rather than the fetal vasculature. Mice surviving to term manifested hyposplenia and abnormal cardiac development. Analysis of global gene expression of Ott1-deficient embryonic hearts showed an enrichment of hypoxia-related genes and a significant alteration of several candidate genes critical for cardiac development. Thus, Ott1-dependent pathways, in addition to being implicated in leukemogenesis, may also be important for the pathogenesis of placental insufficiency and cardiac malformations."}
{"STANDARD_NAME":"TERAO_AOX4_TARGETS_HG_UP","SYSTEMATIC_NAME":"M2360","ORGANISM":"Mus musculus","PMID":"18981221","AUTHORS":"Terao M,Kurosaki M,Barzago MM,Fratelli M,Bagnati R,Bastone A,Giudice C,Scanziani E,Mancuso A,Tiveron C,Garattini E","GEOID":"GSE12541","EXACT_SOURCE":"Fig. 6B: red","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in Harderian gland tissue upon knockout of AOX4 [GeneID=71872].","DESCRIPTION_FULL":"The mouse aldehyde oxidase AOH2 (aldehyde oxidase homolog 2) is a molybdoflavoenzyme. Harderian glands are the richest source of AOH2, although the protein is detectable also in sebaceous glands, epidermis, and other keratinized epithelia. The levels of AOH2 in the Harderian gland and skin are controlled by genetic background, being maximal in CD1 and C57BL/6 and minimal in DBA/2, CBA, and 129/Sv strains. Testosterone is a negative regulator of AOH2 in Harderian glands. Purified AOH2 oxidizes retinaldehyde into retinoic acid, while it is devoid of pyridoxal-oxidizing activity. Aoh2(-/-) mice, the first aldehyde oxidase knockout animals ever generated, are viable and fertile. The data obtained for this knockout model indicate a significant role of AOH2 in the local synthesis and biodisposition of endogenous retinoids in the Harderian gland and skin. The Harderian gland's transcriptome of knockout mice demonstrates overall downregulation of direct retinoid-dependent genes as well as perturbations in pathways controlling lipid homeostasis and cellular secretion, particularly in sexually immature animals. The skin of knockout mice is characterized by thickening of the epidermis in basal conditions and after UV light exposure. This has correlates in the corresponding transcriptome, which shows enrichment and overall upregulation of genes involved in hypertrophic responses."}
{"STANDARD_NAME":"TERAO_AOX4_TARGETS_HG_DN","SYSTEMATIC_NAME":"M2361","ORGANISM":"Mus musculus","PMID":"18981221","AUTHORS":"Terao M,Kurosaki M,Barzago MM,Fratelli M,Bagnati R,Bastone A,Giudice C,Scanziani E,Mancuso A,Tiveron C,Garattini E","GEOID":"GSE12541","EXACT_SOURCE":"Fig. 6B: green","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in Harderian gland tissue upon knockout of AOX4 [GeneID=71872].","DESCRIPTION_FULL":"The mouse aldehyde oxidase AOH2 (aldehyde oxidase homolog 2) is a molybdoflavoenzyme. Harderian glands are the richest source of AOH2, although the protein is detectable also in sebaceous glands, epidermis, and other keratinized epithelia. The levels of AOH2 in the Harderian gland and skin are controlled by genetic background, being maximal in CD1 and C57BL/6 and minimal in DBA/2, CBA, and 129/Sv strains. Testosterone is a negative regulator of AOH2 in Harderian glands. Purified AOH2 oxidizes retinaldehyde into retinoic acid, while it is devoid of pyridoxal-oxidizing activity. Aoh2(-/-) mice, the first aldehyde oxidase knockout animals ever generated, are viable and fertile. The data obtained for this knockout model indicate a significant role of AOH2 in the local synthesis and biodisposition of endogenous retinoids in the Harderian gland and skin. The Harderian gland's transcriptome of knockout mice demonstrates overall downregulation of direct retinoid-dependent genes as well as perturbations in pathways controlling lipid homeostasis and cellular secretion, particularly in sexually immature animals. The skin of knockout mice is characterized by thickening of the epidermis in basal conditions and after UV light exposure. This has correlates in the corresponding transcriptome, which shows enrichment and overall upregulation of genes involved in hypertrophic responses."}
{"STANDARD_NAME":"TERAO_AOX4_TARGETS_SKIN_UP","SYSTEMATIC_NAME":"M2362","ORGANISM":"Mus musculus","PMID":"18981221","AUTHORS":"Terao M,Kurosaki M,Barzago MM,Fratelli M,Bagnati R,Bastone A,Giudice C,Scanziani E,Mancuso A,Tiveron C,Garattini E","GEOID":"GSE12541","EXACT_SOURCE":"Table 3: logR >= 1","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in skin upon knockout of AOX4 [GeneID=71872].","DESCRIPTION_FULL":"The mouse aldehyde oxidase AOH2 (aldehyde oxidase homolog 2) is a molybdoflavoenzyme. Harderian glands are the richest source of AOH2, although the protein is detectable also in sebaceous glands, epidermis, and other keratinized epithelia. The levels of AOH2 in the Harderian gland and skin are controlled by genetic background, being maximal in CD1 and C57BL/6 and minimal in DBA/2, CBA, and 129/Sv strains. Testosterone is a negative regulator of AOH2 in Harderian glands. Purified AOH2 oxidizes retinaldehyde into retinoic acid, while it is devoid of pyridoxal-oxidizing activity. Aoh2(-/-) mice, the first aldehyde oxidase knockout animals ever generated, are viable and fertile. The data obtained for this knockout model indicate a significant role of AOH2 in the local synthesis and biodisposition of endogenous retinoids in the Harderian gland and skin. The Harderian gland's transcriptome of knockout mice demonstrates overall downregulation of direct retinoid-dependent genes as well as perturbations in pathways controlling lipid homeostasis and cellular secretion, particularly in sexually immature animals. The skin of knockout mice is characterized by thickening of the epidermis in basal conditions and after UV light exposure. This has correlates in the corresponding transcriptome, which shows enrichment and overall upregulation of genes involved in hypertrophic responses."}
{"STANDARD_NAME":"TERAO_AOX4_TARGETS_SKIN_DN","SYSTEMATIC_NAME":"M2363","ORGANISM":"Mus musculus","PMID":"18981221","AUTHORS":"Terao M,Kurosaki M,Barzago MM,Fratelli M,Bagnati R,Bastone A,Giudice C,Scanziani E,Mancuso A,Tiveron C,Garattini E","GEOID":"GSE12541","EXACT_SOURCE":"Table 3: logR <= 1","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in skin upon knockout of AOX4 [GeneID=71872].","DESCRIPTION_FULL":"The mouse aldehyde oxidase AOH2 (aldehyde oxidase homolog 2) is a molybdoflavoenzyme. Harderian glands are the richest source of AOH2, although the protein is detectable also in sebaceous glands, epidermis, and other keratinized epithelia. The levels of AOH2 in the Harderian gland and skin are controlled by genetic background, being maximal in CD1 and C57BL/6 and minimal in DBA/2, CBA, and 129/Sv strains. Testosterone is a negative regulator of AOH2 in Harderian glands. Purified AOH2 oxidizes retinaldehyde into retinoic acid, while it is devoid of pyridoxal-oxidizing activity. Aoh2(-/-) mice, the first aldehyde oxidase knockout animals ever generated, are viable and fertile. The data obtained for this knockout model indicate a significant role of AOH2 in the local synthesis and biodisposition of endogenous retinoids in the Harderian gland and skin. The Harderian gland's transcriptome of knockout mice demonstrates overall downregulation of direct retinoid-dependent genes as well as perturbations in pathways controlling lipid homeostasis and cellular secretion, particularly in sexually immature animals. The skin of knockout mice is characterized by thickening of the epidermis in basal conditions and after UV light exposure. This has correlates in the corresponding transcriptome, which shows enrichment and overall upregulation of genes involved in hypertrophic responses."}
{"STANDARD_NAME":"PURBEY_TARGETS_OF_CTBP1_AND_SATB1_UP","SYSTEMATIC_NAME":"M2364","ORGANISM":"Homo sapiens","PMID":"19103759","AUTHORS":"Purbey PK,Singh S,Notani D,Kumar PP,Limaye AS,Galande S","EXACT_SOURCE":"Table 2S: up-regulated","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in HEK-293 cells (fibroblast) upon knockdown of both CTBP1 and SATB1 [GeneID=1487, 6304] by RNAi.","DESCRIPTION_FULL":"Special AT-rich binding protein 1 (SATB1) acts as a global regulator of gene expression by recruiting various corepressor or coactivator complexes, thereby establishing a unique chromatin structure at its genomic targets in a context-dependent manner. Although SATB1 acts predominantly as a repressor via recruitment of histone deacetylase 1 (HDAC1) complexes, the precise mechanism of global repression is not clear. Here we report that SATB1 and C-terminal binding protein 1 (CtBP1) form a repressor complex in vivo. The interaction occurs via the CtBP1 interaction consensus motif PVPLS within the PDZ-like domain of SATB1. The acetylation of SATB1 upon LiCl and ionomycin treatments disrupts its association with CtBP1, resulting in enhanced target gene expression. Chromatin immunoprecipitation analysis indicated that the occupancy of CtBP1 and HDAC1 is gradually decreased and the occupancy of PCAF is elevated at the SATB1 binding sites within the human interleukin-2 and mouse c-Myc promoters. Moreover, gene expression profiling studies using cells in which expression of SATB1 and CtBP1 was silenced indicated commonly targeted genes that may be coordinately repressed by the SATB1-CtBP1 complex. Collectively, these results provide a mechanistic insight into the role of SATB1-CtBP1 interaction in the repression and derepression of SATB1 target genes during Wnt signaling in T cells."}
{"STANDARD_NAME":"PURBEY_TARGETS_OF_CTBP1_AND_SATB1_DN","SYSTEMATIC_NAME":"M2365","ORGANISM":"Homo sapiens","PMID":"19103759","AUTHORS":"Purbey PK,Singh S,Notani D,Kumar PP,Limaye AS,Galande S","EXACT_SOURCE":"Table 2S: down-regulated","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in HEK-293 cells (fibroblast) upon knockdown of both CTBP1 and SATB1 [GeneID=1487, 6304] by RNAi.","DESCRIPTION_FULL":"Special AT-rich binding protein 1 (SATB1) acts as a global regulator of gene expression by recruiting various corepressor or coactivator complexes, thereby establishing a unique chromatin structure at its genomic targets in a context-dependent manner. Although SATB1 acts predominantly as a repressor via recruitment of histone deacetylase 1 (HDAC1) complexes, the precise mechanism of global repression is not clear. Here we report that SATB1 and C-terminal binding protein 1 (CtBP1) form a repressor complex in vivo. The interaction occurs via the CtBP1 interaction consensus motif PVPLS within the PDZ-like domain of SATB1. The acetylation of SATB1 upon LiCl and ionomycin treatments disrupts its association with CtBP1, resulting in enhanced target gene expression. Chromatin immunoprecipitation analysis indicated that the occupancy of CtBP1 and HDAC1 is gradually decreased and the occupancy of PCAF is elevated at the SATB1 binding sites within the human interleukin-2 and mouse c-Myc promoters. Moreover, gene expression profiling studies using cells in which expression of SATB1 and CtBP1 was silenced indicated commonly targeted genes that may be coordinately repressed by the SATB1-CtBP1 complex. Collectively, these results provide a mechanistic insight into the role of SATB1-CtBP1 interaction in the repression and derepression of SATB1 target genes during Wnt signaling in T cells."}
{"STANDARD_NAME":"PURBEY_TARGETS_OF_CTBP1_NOT_SATB1_UP","SYSTEMATIC_NAME":"M2366","ORGANISM":"Homo sapiens","PMID":"19103759","AUTHORS":"Purbey PK,Singh S,Notani D,Kumar PP,Limaye AS,Galande S","EXACT_SOURCE":"Table 3S: up-regulated","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in HEK-293 cells (fibroblast) upon knockdown of CTBP1 but not of SATB1 [GeneID=1487, 6304] by RNAi.","DESCRIPTION_FULL":"Special AT-rich binding protein 1 (SATB1) acts as a global regulator of gene expression by recruiting various corepressor or coactivator complexes, thereby establishing a unique chromatin structure at its genomic targets in a context-dependent manner. Although SATB1 acts predominantly as a repressor via recruitment of histone deacetylase 1 (HDAC1) complexes, the precise mechanism of global repression is not clear. Here we report that SATB1 and C-terminal binding protein 1 (CtBP1) form a repressor complex in vivo. The interaction occurs via the CtBP1 interaction consensus motif PVPLS within the PDZ-like domain of SATB1. The acetylation of SATB1 upon LiCl and ionomycin treatments disrupts its association with CtBP1, resulting in enhanced target gene expression. Chromatin immunoprecipitation analysis indicated that the occupancy of CtBP1 and HDAC1 is gradually decreased and the occupancy of PCAF is elevated at the SATB1 binding sites within the human interleukin-2 and mouse c-Myc promoters. Moreover, gene expression profiling studies using cells in which expression of SATB1 and CtBP1 was silenced indicated commonly targeted genes that may be coordinately repressed by the SATB1-CtBP1 complex. Collectively, these results provide a mechanistic insight into the role of SATB1-CtBP1 interaction in the repression and derepression of SATB1 target genes during Wnt signaling in T cells."}
{"STANDARD_NAME":"GOBERT_CORE_OLIGODENDROCYTE_DIFFERENTIATION","SYSTEMATIC_NAME":"M2370","ORGANISM":"Mus musculus","PMID":"19139271","AUTHORS":"Gobert RP,Joubert L,Curchod ML,Salvat C,Foucault I,Jorand-Lebrun C,Lamarine M,Peixoto H,Vignaud C,Frémaux C,Jomotte T,Françon B,Alliod C,Bernasconi L,Abderrahim H,Perrin D,Bombrun A,Zanoguera F,Rommel C,Huijsduijnen van Hooft R","GEOID":"GSE14406","EXACT_SOURCE":"Table 1","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Oligodendrocyte core differentiation genes: up-regulated in Oli-neo cells (oligodendroglial precursor) at 10 h after treatment with PD174265, dexamethasone or isotretinoin [PubChem=4709, 5743, 5282379].","DESCRIPTION_FULL":"Inadequate remyelination of brain white matter lesions has been associated with a failure of oligodendrocyte precursors to differentiate into mature, myelin-producing cells. In order to better understand which genes play a critical role in oligodendrocyte differentiation, we performed time-dependent, genome-wide gene expression studies of mouse Oli-neu cells as they differentiate into process-forming and myelin basic protein-producing cells, following treatment with three different agents. Our data indicate that different inducers activate distinct pathways that ultimately converge into the completely differentiated state, where regulated gene sets overlap maximally. In order to also gain insight into the functional role of genes that are regulated in this process, we silenced 88 of these genes using small interfering RNA and identified multiple repressors of spontaneous differentiation of Oli-neu, most of which were confirmed in rat primary oligodendrocyte precursors cells. Among these repressors were CNP, a well-known myelin constituent, and three phosphatases, each known to negatively control mitogen-activated protein kinase cascades. We show that a novel inhibitor for one of the identified genes, dual-specificity phosphatase DUSP10/MKP5, was also capable of inducing oligodendrocyte differentiation in primary oligodendrocyte precursors. Oligodendrocytic differentiation feedback loops may therefore yield pharmacological targets to treat disease related to dysfunctional myelin deposition."}
{"STANDARD_NAME":"IKEDA_MIR1_TARGETS_UP","SYSTEMATIC_NAME":"M2372","ORGANISM":"Mus musculus","PMID":"19188439","AUTHORS":"Ikeda S,He A,Kong SW,Lu J,Bejar R,Bodyak N,Lee KH,Ma Q,Kang PM,Golub TR,Pu WT","GEOID":"GSE13874","EXACT_SOURCE":"Table 3S: miR-1 targets: Rel Expr (CN/Ntg) > 1","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in hypertrophic hearts (due to expression of constitutively active form of PPP3CA [GeneID=5530]) and predicted to be targets of miR-1 microRNA.","DESCRIPTION_FULL":"Calcium signaling is a central regulator of cardiomyocyte growth and function. Calmodulin is a critical mediator of calcium signals. Because the amount of calmodulin within cardiomyocytes is limiting, the precise control of calmodulin expression is important for the regulation of calcium signaling. In this study, we show for the first time that calmodulin levels are regulated posttranscriptionally in heart failure. The cardiomyocyte-restricted microRNA miR-1 inhibited the translation of calmodulin-encoding mRNAs via highly conserved target sites within their 3' untranslated regions. In keeping with its effect on calmodulin expression, miR-1 downregulated calcium-calmodulin signaling through calcineurin to NFAT. miR-1 also negatively regulated the expression of Mef2a and Gata4, key transcription factors that mediate calcium-dependent changes in gene expression. Consistent with the downregulation of these hypertrophy-associated genes, miR-1 attenuated cardiomyocyte hypertrophy in cultured neonatal rat cardiomyocytes and in the intact adult heart. Our data indicate that miR-1 regulates cardiomyocyte growth responses by negatively regulating the calcium signaling components calmodulin, Mef2a, and Gata4."}
{"STANDARD_NAME":"IKEDA_MIR1_TARGETS_DN","SYSTEMATIC_NAME":"M2376","ORGANISM":"Mus musculus","PMID":"19188439","AUTHORS":"Ikeda S,He A,Kong SW,Lu J,Bejar R,Bodyak N,Lee KH,Ma Q,Kang PM,Golub TR,Pu WT","GEOID":"GSE13874","EXACT_SOURCE":"Table 3S: miR-1 targets: Rel Expr (CN/Ntg) < 1","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in hypertrophic hearts (due to expression of constitutively active form of PPP3CA [GeneID=5530]) and predicted to be targets of miR-1 microRNA.","DESCRIPTION_FULL":"Calcium signaling is a central regulator of cardiomyocyte growth and function. Calmodulin is a critical mediator of calcium signals. Because the amount of calmodulin within cardiomyocytes is limiting, the precise control of calmodulin expression is important for the regulation of calcium signaling. In this study, we show for the first time that calmodulin levels are regulated posttranscriptionally in heart failure. The cardiomyocyte-restricted microRNA miR-1 inhibited the translation of calmodulin-encoding mRNAs via highly conserved target sites within their 3' untranslated regions. In keeping with its effect on calmodulin expression, miR-1 downregulated calcium-calmodulin signaling through calcineurin to NFAT. miR-1 also negatively regulated the expression of Mef2a and Gata4, key transcription factors that mediate calcium-dependent changes in gene expression. Consistent with the downregulation of these hypertrophy-associated genes, miR-1 attenuated cardiomyocyte hypertrophy in cultured neonatal rat cardiomyocytes and in the intact adult heart. Our data indicate that miR-1 regulates cardiomyocyte growth responses by negatively regulating the calcium signaling components calmodulin, Mef2a, and Gata4."}
{"STANDARD_NAME":"IKEDA_MIR133_TARGETS_UP","SYSTEMATIC_NAME":"M2377","ORGANISM":"Mus musculus","PMID":"19188439","AUTHORS":"Ikeda S,He A,Kong SW,Lu J,Bejar R,Bodyak N,Lee KH,Ma Q,Kang PM,Golub TR,Pu WT","GEOID":"GSE13874","EXACT_SOURCE":"Table 3S: miR-133 targets: Rel Expr (CN/Ntg) > 1","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in hypertrophic hearts (due to expression of constitutively active form of PPP3CA [GeneID=5530]) and predicted to be targets of miR-133 microRNA.","DESCRIPTION_FULL":"Calcium signaling is a central regulator of cardiomyocyte growth and function. Calmodulin is a critical mediator of calcium signals. Because the amount of calmodulin within cardiomyocytes is limiting, the precise control of calmodulin expression is important for the regulation of calcium signaling. In this study, we show for the first time that calmodulin levels are regulated posttranscriptionally in heart failure. The cardiomyocyte-restricted microRNA miR-1 inhibited the translation of calmodulin-encoding mRNAs via highly conserved target sites within their 3' untranslated regions. In keeping with its effect on calmodulin expression, miR-1 downregulated calcium-calmodulin signaling through calcineurin to NFAT. miR-1 also negatively regulated the expression of Mef2a and Gata4, key transcription factors that mediate calcium-dependent changes in gene expression. Consistent with the downregulation of these hypertrophy-associated genes, miR-1 attenuated cardiomyocyte hypertrophy in cultured neonatal rat cardiomyocytes and in the intact adult heart. Our data indicate that miR-1 regulates cardiomyocyte growth responses by negatively regulating the calcium signaling components calmodulin, Mef2a, and Gata4."}
{"STANDARD_NAME":"IKEDA_MIR133_TARGETS_DN","SYSTEMATIC_NAME":"M2378","ORGANISM":"Mus musculus","PMID":"19188439","AUTHORS":"Ikeda S,He A,Kong SW,Lu J,Bejar R,Bodyak N,Lee KH,Ma Q,Kang PM,Golub TR,Pu WT","GEOID":"GSE13874","EXACT_SOURCE":"Table 3S: miR-133 targets: Rel Expr (CN/Ntg) < 1","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in hypertrophic hearts (due to expression of constitutively active form of PPP3CA [GeneID=5530]) and predicted to be targets of miR-133 microRNA.","DESCRIPTION_FULL":"Calcium signaling is a central regulator of cardiomyocyte growth and function. Calmodulin is a critical mediator of calcium signals. Because the amount of calmodulin within cardiomyocytes is limiting, the precise control of calmodulin expression is important for the regulation of calcium signaling. In this study, we show for the first time that calmodulin levels are regulated posttranscriptionally in heart failure. The cardiomyocyte-restricted microRNA miR-1 inhibited the translation of calmodulin-encoding mRNAs via highly conserved target sites within their 3' untranslated regions. In keeping with its effect on calmodulin expression, miR-1 downregulated calcium-calmodulin signaling through calcineurin to NFAT. miR-1 also negatively regulated the expression of Mef2a and Gata4, key transcription factors that mediate calcium-dependent changes in gene expression. Consistent with the downregulation of these hypertrophy-associated genes, miR-1 attenuated cardiomyocyte hypertrophy in cultured neonatal rat cardiomyocytes and in the intact adult heart. Our data indicate that miR-1 regulates cardiomyocyte growth responses by negatively regulating the calcium signaling components calmodulin, Mef2a, and Gata4."}
{"STANDARD_NAME":"IKEDA_MIR30_TARGETS_UP","SYSTEMATIC_NAME":"M2379","ORGANISM":"Mus musculus","PMID":"19188439","AUTHORS":"Ikeda S,He A,Kong SW,Lu J,Bejar R,Bodyak N,Lee KH,Ma Q,Kang PM,Golub TR,Pu WT","GEOID":"GSE13874","EXACT_SOURCE":"Table 3S: miR-30 targets: Rel Expr (CN/Ntg) > 1","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in hypertrophic hearts (due to expression of constitutively active form of PPP3CA [GeneID=5530]) and predicted to be targets of miR-30 microRNA.","DESCRIPTION_FULL":"Calcium signaling is a central regulator of cardiomyocyte growth and function. Calmodulin is a critical mediator of calcium signals. Because the amount of calmodulin within cardiomyocytes is limiting, the precise control of calmodulin expression is important for the regulation of calcium signaling. In this study, we show for the first time that calmodulin levels are regulated posttranscriptionally in heart failure. The cardiomyocyte-restricted microRNA miR-1 inhibited the translation of calmodulin-encoding mRNAs via highly conserved target sites within their 3' untranslated regions. In keeping with its effect on calmodulin expression, miR-1 downregulated calcium-calmodulin signaling through calcineurin to NFAT. miR-1 also negatively regulated the expression of Mef2a and Gata4, key transcription factors that mediate calcium-dependent changes in gene expression. Consistent with the downregulation of these hypertrophy-associated genes, miR-1 attenuated cardiomyocyte hypertrophy in cultured neonatal rat cardiomyocytes and in the intact adult heart. Our data indicate that miR-1 regulates cardiomyocyte growth responses by negatively regulating the calcium signaling components calmodulin, Mef2a, and Gata4."}
{"STANDARD_NAME":"IKEDA_MIR30_TARGETS_DN","SYSTEMATIC_NAME":"M2380","ORGANISM":"Mus musculus","PMID":"19188439","AUTHORS":"Ikeda S,He A,Kong SW,Lu J,Bejar R,Bodyak N,Lee KH,Ma Q,Kang PM,Golub TR,Pu WT","GEOID":"GSE13874","EXACT_SOURCE":"Table 3S: miR-30 targets: Rel Expr (CN/Ntg) < 1","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in hypertrophic hearts (due to expression of constitutively active form of PPP3CA [GeneID=5530]) and predicted to be targets of miR-30 microRNA.","DESCRIPTION_FULL":"Calcium signaling is a central regulator of cardiomyocyte growth and function. Calmodulin is a critical mediator of calcium signals. Because the amount of calmodulin within cardiomyocytes is limiting, the precise control of calmodulin expression is important for the regulation of calcium signaling. In this study, we show for the first time that calmodulin levels are regulated posttranscriptionally in heart failure. The cardiomyocyte-restricted microRNA miR-1 inhibited the translation of calmodulin-encoding mRNAs via highly conserved target sites within their 3' untranslated regions. In keeping with its effect on calmodulin expression, miR-1 downregulated calcium-calmodulin signaling through calcineurin to NFAT. miR-1 also negatively regulated the expression of Mef2a and Gata4, key transcription factors that mediate calcium-dependent changes in gene expression. Consistent with the downregulation of these hypertrophy-associated genes, miR-1 attenuated cardiomyocyte hypertrophy in cultured neonatal rat cardiomyocytes and in the intact adult heart. Our data indicate that miR-1 regulates cardiomyocyte growth responses by negatively regulating the calcium signaling components calmodulin, Mef2a, and Gata4."}
{"STANDARD_NAME":"KUWANO_RNA_STABILIZED_BY_NO","SYSTEMATIC_NAME":"M2381","ORGANISM":"Mus musculus","PMID":"19289500","AUTHORS":"Kuwano Y,Rabinovic A,Srikantan S,Gorospe M,Demple B","EXACT_SOURCE":"Fig. 2A","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Transcripts stabilized by NO [PubChem=145068] identified as up-regulated by NO [PubChem=145068] in the presence of actinomycin D [PubChemiD=2019] in IMR-90 and NIH 3T3 cells (fibroblast).","DESCRIPTION_FULL":"We previously observed that nitric oxide (NO) exposure increases the stability of mRNAs encoding heme oxygenase 1 (HO-1) and TIEG-1 in human and mouse fibroblasts. Here, we have used microarrays to look broadly for changes in mRNA stability in response to NO treatment. Using human IMR-90 and mouse NIH 3T3 fibroblasts treated with actinomycin D to block de novo transcription, microarray analysis suggested that the stability of the majority of mRNAs was unaffected. Among the mRNAs that were stabilized by NO treatment, seven transcripts were found in both IMR-90 and NIH 3T3 cells (CHIC2, GADD45B, HO-1, PTGS2, RGS2, TIEG, and ID3) and were chosen for further analysis. All seven mRNAs showed at least one hit of a signature motif for the stabilizing RNA-binding protein (RBP) HuR; accordingly, ribonucleoprotein immunoprecipitation analysis revealed that all seven mRNAs associated with HuR. In keeping with a functional role of HuR in the response to NO, a measurable fraction of HuR increased in the cytoplasm following NO treatment. However, among the seven transcripts, only HO-1 mRNA showed a robust increase in the level of its association with HuR following NO treatment. In turn, HO-1 mRNA and protein levels were significantly reduced when HuR levels were silenced in IMR-90 cells, and they were elevated when HuR was overexpressed. In sum, our results indicate that NO stabilizes mRNA subsets in fibroblasts, identify HuR as an RBP implicated in the NO response, reveal that HuR alone is insufficient for stabilizing several mRNAs by NO, and show that HO-1 induction by NO is regulated by HuR."}
{"STANDARD_NAME":"SCHMIDT_POR_TARGETS_IN_LIMB_BUD_DN","SYSTEMATIC_NAME":"M2384","ORGANISM":"Mus musculus","PMID":"19273610","AUTHORS":"Schmidt K,Hughes C,Chudek JA,Goodyear SR,Aspden RM,Talbot R,Gundersen TE,Blomhoff R,Henderson C,Wolf CR,Tickle C","GEOID":"E_TABM_367","EXACT_SOURCE":"Fig. 7C: Fold change < 1","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in E12.5 forelimb buds with POR [GeneID=5447] knockout.","DESCRIPTION_FULL":"Cytochrome P450 oxidoreductase (POR) is the obligate electron donor for all microsomal cytochrome P450 enzymes, which catalyze the metabolism of a wide spectrum of xenobiotic and endobiotic compounds. Point mutations in POR have been found recently in patients with Antley-Bixler-like syndrome, which includes limb skeletal defects. In order to study P450 function during limb and skeletal development, we deleted POR specifically in mouse limb bud mesenchyme. Forelimbs and hind limbs in conditional knockout (CKO) mice were short with thin skeletal elements and fused joints. POR deletion occurred earlier in forelimbs than in hind limbs, leading additionally to soft tissue syndactyly and loss of wrist elements and phalanges due to changes in growth, cell death, and skeletal segmentation. Transcriptional analysis of E12.5 mouse forelimb buds demonstrated the expression of P450s involved in retinoic acid, cholesterol, and arachidonic acid metabolism. Biochemical analysis of CKO limbs confirmed retinoic acid excess. In CKO limbs, expression of genes throughout the whole cholesterol biosynthetic pathway was upregulated, and cholesterol deficiency can explain most aspects of the phenotype. Thus, cellular POR-dependent cholesterol synthesis is essential during limb and skeletal development. Modulation of P450 activity could contribute to susceptibility of the embryo and developing organs to teratogenesis."}
{"STANDARD_NAME":"KATSANOU_ELAVL1_TARGETS_DN","SYSTEMATIC_NAME":"M2387","ORGANISM":"Mus musculus","PMID":"19307312","AUTHORS":"Katsanou V,Milatos S,Yiakouvaki A,Sgantzis N,Kotsoni A,Alexiou M,Harokopos V,Aidinis V,Hemberger M,Kontoyiannis DL","EXACT_SOURCE":"Table 3a","CHIP":"Mouse_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in MEF cells (embryonic fibroblast) with ELAVL1 [GeneID=1994] knocked out.","DESCRIPTION_FULL":"HuR is an RNA-binding protein implicated in a diverse array of pathophysiological processes due to its effects on the posttranscriptional regulation of AU- and U-rich mRNAs. Here we reveal HuR's requirement in embryonic development through its genetic ablation. Obligatory HuR-null embryos exhibited a stage retardation phenotype and failed to survive beyond midgestation. By means of conditional transgenesis, we restricted HuR's mutation in either embryonic or endothelial compartments to demonstrate that embryonic lethality is consequent to defects in extraembryonic placenta. HuR's absence impaired the invagination of allantoic capillaries into the chorionic trophoblast layer and the differentiation of syncytiotrophoblast cells that control the morphogenesis and vascularization of the placental labyrinth and fetal support. HuR-null embryos rescued from these placental defects proceeded to subsequent developmental stages but displayed defects in skeletal ossification, fusions in limb elements, and asplenia. By coupling gene expression measurements, data meta-analysis, and HuR-RNA association assays, we identified transcription and growth factor mRNAs controlled by HuR, primarily at the posttranscriptional level, to guide morphogenesis, specification, and patterning. Collectively, our data demonstrate the dominant role of HuR in organizing gene expression programs guiding placental labyrinth morphogenesis, skeletal specification patterns, and splenic ontogeny."}
{"STANDARD_NAME":"WANG_THOC1_TARGETS_DN","SYSTEMATIC_NAME":"M2391","ORGANISM":"Mus musculus","PMID":"19307311","AUTHORS":"Wang X,Chinnam M,Wang J,Wang Y,Zhang X,Marcon E,Moens P,Goodrich DW","EXACT_SOURCE":"Table 1S: logFC < 0","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in testis tissue expressing hypomorphic allele of THOC1 [GeneID=9984].","DESCRIPTION_FULL":"Accumulating evidence suggests that regulation of RNA processing through an RNP-driven mechanism is important for coordinated gene expression. This hypothesis predicts that defects in RNP biogenesis will adversely affect the elaboration of specific gene expression programs. To explore the role of RNP biogenesis on mammalian development, we have characterized the phenotype of mice hypomorphic for Thoc1. Thoc1 encodes an essential component of the evolutionarily conserved TREX complex. TREX accompanies the elongating RNA polymerase II and facilitates RNP assembly and recruitment of RNA processing factors. Hypomorphic Thoc1 mice are viable despite significantly reduced Thoc1 expression in the tissues examined. While most tissues of Thoc1-deficient mice appear to develop and function normally, gametogenesis is severely compromised. Male infertility is associated with a loss in spermatocyte viability and abnormal endocrine signaling. We suggest that loss of spermatocyte viability is a consequence of defects in the expression of genes required for normal differentiation of cell types within the testes. A number of the genes affected appear to be direct targets for regulation by Thoc1. These findings support the notion that Thoc1-mediated RNP assembly contributes to the coordinated expression of genes necessary for normal differentiation and development in vivo."}
{"STANDARD_NAME":"SERVITJA_ISLET_HNF1A_TARGETS_DN","SYSTEMATIC_NAME":"M2396","ORGANISM":"Mus musculus","PMID":"19289501","AUTHORS":"Servitja JM,Pignatelli M,Maestro MA,Cardalda C,Boj SF,Lozano J,Blanco E,Lafuente A,McCarthy MI,Sumoy L,Guigó R,Ferrer J","GEOID":"E-MEXP-1707","EXACT_SOURCE":"Table 1S","CHIP":"Mouse_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in pancreatic islets upon knockout of HNF1A [GeneID=6927].","DESCRIPTION_FULL":"Heterozygous HNF1A mutations cause pancreatic-islet beta-cell dysfunction and monogenic diabetes (MODY3). Hnf1alpha is known to regulate numerous hepatic genes, yet knowledge of its function in pancreatic islets is more limited. We now show that Hnf1a deficiency in mice leads to highly tissue-specific changes in the expression of genes involved in key functions of both islets and liver. To gain insights into the mechanisms of tissue-specific Hnf1alpha regulation, we integrated expression studies of Hnf1a-deficient mice with identification of direct Hnf1alpha targets. We demonstrate that Hnf1alpha can bind in a tissue-selective manner to genes that are expressed only in liver or islets. We also show that Hnf1alpha is essential only for the transcription of a minor fraction of its direct-target genes. Even among genes that were expressed in both liver and islets, the subset of targets showing functional dependence on Hnf1alpha was highly tissue specific. This was partly explained by the compensatory occupancy by the paralog Hnf1beta at selected genes in Hnf1a-deficient liver. In keeping with these findings, the biological consequences of Hnf1a deficiency were markedly different in islets and liver. Notably, Hnf1a deficiency led to impaired large-T-antigen-induced growth and oncogenesis in beta cells yet enhanced proliferation in hepatocytes. Collectively, these findings show that Hnf1alpha governs broad, highly tissue-specific genetic programs in pancreatic islets and liver and reveal key consequences of Hnf1a deficiency relevant to the pathophysiology of monogenic diabetes."}
{"STANDARD_NAME":"SERVITJA_LIVER_HNF1A_TARGETS_UP","SYSTEMATIC_NAME":"M2397","ORGANISM":"Mus musculus","PMID":"19289501","AUTHORS":"Servitja JM,Pignatelli M,Maestro MA,Cardalda C,Boj SF,Lozano J,Blanco E,Lafuente A,McCarthy MI,Sumoy L,Guigó R,Ferrer J","GEOID":"E-MEXP-1709","EXACT_SOURCE":"Table 4S","CHIP":"Mouse_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in liver tissue upon knockout of HNF1A [GeneID=6927].","DESCRIPTION_FULL":"Heterozygous HNF1A mutations cause pancreatic-islet beta-cell dysfunction and monogenic diabetes (MODY3). Hnf1alpha is known to regulate numerous hepatic genes, yet knowledge of its function in pancreatic islets is more limited. We now show that Hnf1a deficiency in mice leads to highly tissue-specific changes in the expression of genes involved in key functions of both islets and liver. To gain insights into the mechanisms of tissue-specific Hnf1alpha regulation, we integrated expression studies of Hnf1a-deficient mice with identification of direct Hnf1alpha targets. We demonstrate that Hnf1alpha can bind in a tissue-selective manner to genes that are expressed only in liver or islets. We also show that Hnf1alpha is essential only for the transcription of a minor fraction of its direct-target genes. Even among genes that were expressed in both liver and islets, the subset of targets showing functional dependence on Hnf1alpha was highly tissue specific. This was partly explained by the compensatory occupancy by the paralog Hnf1beta at selected genes in Hnf1a-deficient liver. In keeping with these findings, the biological consequences of Hnf1a deficiency were markedly different in islets and liver. Notably, Hnf1a deficiency led to impaired large-T-antigen-induced growth and oncogenesis in beta cells yet enhanced proliferation in hepatocytes. Collectively, these findings show that Hnf1alpha governs broad, highly tissue-specific genetic programs in pancreatic islets and liver and reveal key consequences of Hnf1a deficiency relevant to the pathophysiology of monogenic diabetes."}
{"STANDARD_NAME":"KOHOUTEK_CCNT1_TARGETS","SYSTEMATIC_NAME":"M2401","ORGANISM":"Mus musculus","PMID":"19364821","AUTHORS":"Kohoutek J,Li Q,Blazek D,Luo Z,Jiang H,Peterlin BM","EXACT_SOURCE":"Table 1S: CycT1 siRNA","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in E14 ES (embryonic stem) cells upon knockdown of CYCT1 [GeneID=904] by RNAi.","DESCRIPTION_FULL":"The positive transcription elongation factor b (P-TEFb) is essential for the elongation of transcription and cotranscriptional processing by RNA polymerase II. In mammals, it contains predominantly the C-type cyclin cyclin T1 (CycT1) or CycT2 and cyclin-dependent kinase 9 (Cdk9). To determine if these cyclins have redundant functions or affect distinct sets of genes, we genetically inactivated the CycT2 gene (Ccnt2) using the beta-galactosidase-neomycin gene (beta-geo) gene trap technology in the mouse. Visualizing beta-galactosidase during mouse embryogenesis revealed that CycT2 is expressed abundantly during embryogenesis and throughout the organism in the adult. This finding was reflected in the expression of CycT2 in all adult tissues and organs. However, despite numerous matings of heterozygous mice, we observed no CycT2(-/-) embryos, pups, or adult mice. This early lethality could have resulted from decreased expression of critical genes, which were revealed by short interfering RNAs against CycT2 in embryonic stem cells. Thus, CycT1 and CycT2 are not redundant, and these different P-TEFb complexes regulate subsets of distinct genes that are important for embryonic development."}
{"STANDARD_NAME":"KOHOUTEK_CCNT2_TARGETS","SYSTEMATIC_NAME":"M2402","ORGANISM":"Mus musculus","PMID":"19364821","AUTHORS":"Kohoutek J,Li Q,Blazek D,Luo Z,Jiang H,Peterlin BM","EXACT_SOURCE":"Table 1S: CycT2 siRNA","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in E14 ES (embryonic stem) cells upon knockdown of CYCT2 [GeneID=905] by RNAi.","DESCRIPTION_FULL":"The positive transcription elongation factor b (P-TEFb) is essential for the elongation of transcription and cotranscriptional processing by RNA polymerase II. In mammals, it contains predominantly the C-type cyclin cyclin T1 (CycT1) or CycT2 and cyclin-dependent kinase 9 (Cdk9). To determine if these cyclins have redundant functions or affect distinct sets of genes, we genetically inactivated the CycT2 gene (Ccnt2) using the beta-galactosidase-neomycin gene (beta-geo) gene trap technology in the mouse. Visualizing beta-galactosidase during mouse embryogenesis revealed that CycT2 is expressed abundantly during embryogenesis and throughout the organism in the adult. This finding was reflected in the expression of CycT2 in all adult tissues and organs. However, despite numerous matings of heterozygous mice, we observed no CycT2(-/-) embryos, pups, or adult mice. This early lethality could have resulted from decreased expression of critical genes, which were revealed by short interfering RNAs against CycT2 in embryonic stem cells. Thus, CycT1 and CycT2 are not redundant, and these different P-TEFb complexes regulate subsets of distinct genes that are important for embryonic development."}
{"STANDARD_NAME":"PEDERSEN_METASTASIS_BY_ERBB2_ISOFORM_3","SYSTEMATIC_NAME":"M2408","ORGANISM":"Homo sapiens","PMID":"19364815","AUTHORS":"Pedersen K,Angelini PD,Laos S,Bach-Faig A,Cunningham MP,Ferrer-Ramón C,Luque-García A,García-Castillo J,Parra-Palau JL,Scaltriti M,Cajal y Ramón S,Baselga J,Arribas J","EXACT_SOURCE":"Table 1S: Probeset average sheet: Both 611- 15h and 60h regulated","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes regulated in MCF7 cells (breast cancer) by expression of the truncated (611-CTF) form of ERBB2 [GeneID=2064] at both 15 h and 60 h time points.","DESCRIPTION_FULL":"HER2 is a tyrosine kinase receptor causally involved in cancer. A subgroup of breast cancer patients with particularly poor clinical outcomes expresses a heterogeneous collection of HER2 carboxy-terminal fragments (CTFs). However, since the CTFs lack the extracellular domain that drives dimerization and subsequent activation of full-length HER2, they are in principle expected to be inactive. Here we show that at low expression levels one of these fragments, 611-CTF, activated multiple signaling pathways because of its unanticipated ability to constitutively homodimerize. A transcriptomic analysis revealed that 611-CTF specifically controlled the expression of genes that we found to be correlated with poor prognosis in breast cancer. Among the 611-CTF-regulated genes were several that have previously been linked to metastasis, including those for MET, EPHA2, matrix metalloproteinase 1, interleukin 11, angiopoietin-like 4, and different integrins. It is thought that transgenic mice overexpressing HER2 in the mammary glands develop tumors only after acquisition of activating mutations in the transgene. In contrast, we show that expression of 611-CTF led to development of aggressive and invasive mammary tumors without the need for mutations. These results demonstrate that 611-CTF is a potent oncogene capable of promoting mammary tumor progression and metastasis."}
{"STANDARD_NAME":"PEDERSEN_METASTASIS_BY_ERBB2_ISOFORM_4","SYSTEMATIC_NAME":"M2410","ORGANISM":"Homo sapiens","PMID":"19364815","AUTHORS":"Pedersen K,Angelini PD,Laos S,Bach-Faig A,Cunningham MP,Ferrer-Ramón C,Luque-García A,García-Castillo J,Parra-Palau JL,Scaltriti M,Cajal y Ramón S,Baselga J,Arribas J","EXACT_SOURCE":"Table 1S: Probeset average sheet: Both 611-60h and HER2-60h regulated","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes regulated in MCF7 cells (breast cancer) by expression of the full-length and truncated (611-CTF) forms of ERBB2 [GeneID=2064] at 60 h time point.","DESCRIPTION_FULL":"HER2 is a tyrosine kinase receptor causally involved in cancer. A subgroup of breast cancer patients with particularly poor clinical outcomes expresses a heterogeneous collection of HER2 carboxy-terminal fragments (CTFs). However, since the CTFs lack the extracellular domain that drives dimerization and subsequent activation of full-length HER2, they are in principle expected to be inactive. Here we show that at low expression levels one of these fragments, 611-CTF, activated multiple signaling pathways because of its unanticipated ability to constitutively homodimerize. A transcriptomic analysis revealed that 611-CTF specifically controlled the expression of genes that we found to be correlated with poor prognosis in breast cancer. Among the 611-CTF-regulated genes were several that have previously been linked to metastasis, including those for MET, EPHA2, matrix metalloproteinase 1, interleukin 11, angiopoietin-like 4, and different integrins. It is thought that transgenic mice overexpressing HER2 in the mammary glands develop tumors only after acquisition of activating mutations in the transgene. In contrast, we show that expression of 611-CTF led to development of aggressive and invasive mammary tumors without the need for mutations. These results demonstrate that 611-CTF is a potent oncogene capable of promoting mammary tumor progression and metastasis."}
{"STANDARD_NAME":"PEDERSEN_METASTASIS_BY_ERBB2_ISOFORM_5","SYSTEMATIC_NAME":"M2411","ORGANISM":"Homo sapiens","PMID":"19364815","AUTHORS":"Pedersen K,Angelini PD,Laos S,Bach-Faig A,Cunningham MP,Ferrer-Ramón C,Luque-García A,García-Castillo J,Parra-Palau JL,Scaltriti M,Cajal y Ramón S,Baselga J,Arribas J","EXACT_SOURCE":"Table 1S: Probeset average sheet: Only 611-15h regulated","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes regulated in MCF7 cells (breast cancer) by expression of the truncated (611-CTF) form of ERBB2 [GeneID=2064] at 15 h time point.","DESCRIPTION_FULL":"HER2 is a tyrosine kinase receptor causally involved in cancer. A subgroup of breast cancer patients with particularly poor clinical outcomes expresses a heterogeneous collection of HER2 carboxy-terminal fragments (CTFs). However, since the CTFs lack the extracellular domain that drives dimerization and subsequent activation of full-length HER2, they are in principle expected to be inactive. Here we show that at low expression levels one of these fragments, 611-CTF, activated multiple signaling pathways because of its unanticipated ability to constitutively homodimerize. A transcriptomic analysis revealed that 611-CTF specifically controlled the expression of genes that we found to be correlated with poor prognosis in breast cancer. Among the 611-CTF-regulated genes were several that have previously been linked to metastasis, including those for MET, EPHA2, matrix metalloproteinase 1, interleukin 11, angiopoietin-like 4, and different integrins. It is thought that transgenic mice overexpressing HER2 in the mammary glands develop tumors only after acquisition of activating mutations in the transgene. In contrast, we show that expression of 611-CTF led to development of aggressive and invasive mammary tumors without the need for mutations. These results demonstrate that 611-CTF is a potent oncogene capable of promoting mammary tumor progression and metastasis."}
{"STANDARD_NAME":"PEDERSEN_METASTASIS_BY_ERBB2_ISOFORM_6","SYSTEMATIC_NAME":"M2412","ORGANISM":"Homo sapiens","PMID":"19364815","AUTHORS":"Pedersen K,Angelini PD,Laos S,Bach-Faig A,Cunningham MP,Ferrer-Ramón C,Luque-García A,García-Castillo J,Parra-Palau JL,Scaltriti M,Cajal y Ramón S,Baselga J,Arribas J","EXACT_SOURCE":"Table 1S: Probeset average sheet: Only HER2-60h regulated","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes regulated in MCF7 cells (breast cancer) by expression of the full-length form of ERBB2 [GeneID=2064] at 60 h time point.","DESCRIPTION_FULL":"HER2 is a tyrosine kinase receptor causally involved in cancer. A subgroup of breast cancer patients with particularly poor clinical outcomes expresses a heterogeneous collection of HER2 carboxy-terminal fragments (CTFs). However, since the CTFs lack the extracellular domain that drives dimerization and subsequent activation of full-length HER2, they are in principle expected to be inactive. Here we show that at low expression levels one of these fragments, 611-CTF, activated multiple signaling pathways because of its unanticipated ability to constitutively homodimerize. A transcriptomic analysis revealed that 611-CTF specifically controlled the expression of genes that we found to be correlated with poor prognosis in breast cancer. Among the 611-CTF-regulated genes were several that have previously been linked to metastasis, including those for MET, EPHA2, matrix metalloproteinase 1, interleukin 11, angiopoietin-like 4, and different integrins. It is thought that transgenic mice overexpressing HER2 in the mammary glands develop tumors only after acquisition of activating mutations in the transgene. In contrast, we show that expression of 611-CTF led to development of aggressive and invasive mammary tumors without the need for mutations. These results demonstrate that 611-CTF is a potent oncogene capable of promoting mammary tumor progression and metastasis."}
{"STANDARD_NAME":"PARK_OSTEOBLAST_DIFFERENTIATION_BY_PHENYLAMIL_UP","SYSTEMATIC_NAME":"M2421","ORGANISM":"Mus musculus","PMID":"19433444","AUTHORS":"Park KW,Waki H,Kim WK,Davies BS,Young SG,Parhami F,Tontonoz P","EXACT_SOURCE":"Fig. 2S: Change folds > 1","CHIP":"Mouse_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in M2-10B4 cells (osteoblast) in response to phenylamil [PubChem=4755].","DESCRIPTION_FULL":"Stimulation of osteoblast differentiation from mesenchymal stem cells is a potential strategy for bone repair. Bone morphogenetic proteins (BMPs) that induce osteoblastic differentiation have been successfully used in humans to treat fractures. Here we outline a new approach to the stimulation of osteoblast differentiation using small molecules that stimulate BMP activity. We have identified the amiloride derivative phenamil as a stimulator of osteoblast differentiation and mineralization. Remarkably, phenamil acts cooperatively with BMPs to induce the expression of BMP target genes, osteogenic markers, and matrix mineralization in both mesenchymal stem cell lines and calvarial organ cultures. Transcriptional profiling of cells treated with phenamil led to the identification of tribbles homolog 3 (Trb3) as a mediator of its effects. Trb3 is induced by phenamil selectively in cells with osteoblastic potential. Both Trb3 and phenamil stabilize the expression of SMAD, the critical transcription factor in BMP signaling, by promoting the degradation of SMAD ubiquitin regulatory factor 1. Small interfering RNA-mediated knockdown of Trb3 blunts the effects of phenamil on BMP signaling and osteogenesis. Thus, phenamil induces osteogenic differentiation, at least in part, through Trb3-dependent promotion of BMP action. The synergistic use of small molecules such as phenamil along with BMPs may provide new strategies for the promotion of bone healing."}
{"STANDARD_NAME":"PARK_OSTEOBLAST_DIFFERENTIATION_BY_PHENYLAMIL_DN","SYSTEMATIC_NAME":"M2423","ORGANISM":"Mus musculus","PMID":"19433444","AUTHORS":"Park KW,Waki H,Kim WK,Davies BS,Young SG,Parhami F,Tontonoz P","EXACT_SOURCE":"Fig. 2S: Change folds < 1","CHIP":"Mouse_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in M2-10B4 cells (osteoblast) in response to phenylamil [PubChem=4755].","DESCRIPTION_FULL":"Stimulation of osteoblast differentiation from mesenchymal stem cells is a potential strategy for bone repair. Bone morphogenetic proteins (BMPs) that induce osteoblastic differentiation have been successfully used in humans to treat fractures. Here we outline a new approach to the stimulation of osteoblast differentiation using small molecules that stimulate BMP activity. We have identified the amiloride derivative phenamil as a stimulator of osteoblast differentiation and mineralization. Remarkably, phenamil acts cooperatively with BMPs to induce the expression of BMP target genes, osteogenic markers, and matrix mineralization in both mesenchymal stem cell lines and calvarial organ cultures. Transcriptional profiling of cells treated with phenamil led to the identification of tribbles homolog 3 (Trb3) as a mediator of its effects. Trb3 is induced by phenamil selectively in cells with osteoblastic potential. Both Trb3 and phenamil stabilize the expression of SMAD, the critical transcription factor in BMP signaling, by promoting the degradation of SMAD ubiquitin regulatory factor 1. Small interfering RNA-mediated knockdown of Trb3 blunts the effects of phenamil on BMP signaling and osteogenesis. Thus, phenamil induces osteogenic differentiation, at least in part, through Trb3-dependent promotion of BMP action. The synergistic use of small molecules such as phenamil along with BMPs may provide new strategies for the promotion of bone healing."}
{"STANDARD_NAME":"YANG_BCL3_TARGETS_DN","SYSTEMATIC_NAME":"M2425","ORGANISM":"Rattus norvegicus","PMID":"19451226","AUTHORS":"Yang J,Williams RS,Kelly DP","EXACT_SOURCE":"Table 3S: Fold change < 1","CHIP":"RAT_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in neonatal cardiac myocytes upon knockdown of BCL3 [GeneID=602] by RNAi.","DESCRIPTION_FULL":"Estrogen-related receptors (ERRs) play critical roles in regulation of cellular energy metabolism in response to inducible coactivators such as peroxisome proliferator-activated receptor gamma (PPARgamma) coactivator 1alpha (PGC-1alpha). A yeast two-hybrid screen led to the identification of the cytokine-stimulated transcriptional regulator, Bcl3, as an ERRalpha coactivator. Bcl3 was shown to synergize with PGC-1alpha to coactivate ERRalpha. Chromatin immunoprecipitation studies demonstrated that ERRalpha, PGC-1alpha, and Bcl3 form a complex on an ERRalpha-responsive element within the pyruvate dehydrogenase kinase 4 gene promoter in cardiac myocytes. Mapping studies demonstrated that Bc13 interacts with PGC-1alpha and ERRalpha, allowing for interaction with both proteins. Transcriptional profiling demonstrated that Bcl3 activates genes involved in diverse pathways including a subset involved in cellular energy metabolism known to be regulated by PGC-1alpha, ERRalpha, and a second nuclear receptor, PPARalpha. Consistent with the gene expression profiling results, Bcl3 was shown to synergistically coactivate PPARalpha with PGC-1alpha in a manner similar to ERRalpha. We propose that the cooperativity between Bcl3 and PGC-1alpha may serve as a point of convergence on nuclear receptor targets to direct programs orchestrating inflammatory and energy metabolism responses in heart and other tissues."}
{"STANDARD_NAME":"LOPEZ_TRANSLATION_VIA_FN1_SIGNALING","SYSTEMATIC_NAME":"M2426","ORGANISM":"Homo sapiens","PMID":"19451229","AUTHORS":"López-Lago MA,Okada T,Murillo MM,Socci N,Giancotti FG","EXACT_SOURCE":"Fig. 2D","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes translationally up-regulated in HUVEC cells (endothelium) grown on FN1 [GeneID=2335] compared to those grown on laminin 1.","DESCRIPTION_FULL":"Integrin signaling promotes, through p21-activated kinase, phosphorylation and inactivation of the tumor suppressor merlin, thus removing a block to mitogenesis in normal cells. However, the biochemical function of merlin and the effector pathways critical for the pathogenesis of malignant mesothelioma and other NF2-related malignancies are not known. We report that integrin-specific signaling promotes activation of mTORC1 and cap-dependent mRNA translation. Depletion of merlin rescues mTORC1 signaling in cells deprived of anchorage to a permissive extracellular matrix, suggesting that integrin signaling controls mTORC1 through inactivation of merlin. This signaling pathway controls translation of the cyclin D1 mRNA and, thereby, cell cycle progression. In addition, it promotes cell survival. Analysis of a panel of malignant mesothelioma cell lines reveals a strong correlation between loss of merlin and activation of mTORC1. Merlin-negative lines are sensitive to the growth-inhibitory effect of rapamycin, and the expression of recombinant merlin renders them partially resistant to rapamycin. Conversely, depletion of merlin restores rapamycin sensitivity in merlin-positive lines. These results indicate that integrin-mediated adhesion promotes mTORC1 signaling through the inactivation of merlin. Furthermore, they reveal that merlin-negative mesotheliomas display unregulated mTORC1 signaling and are sensitive to rapamycin, thus providing a preclinical rationale for prospective, biomarker-driven clinical studies of mTORC1 inhibitors in these tumors."}
{"STANDARD_NAME":"IM_SREBF1A_TARGETS","SYSTEMATIC_NAME":"M2433","ORGANISM":"Mus musculus","PMID":"19564420","AUTHORS":"Im SS,Hammond LE,Yousef L,Nugas-Selby C,Shin DJ,Seo YK,Fong LG,Young SG,Osborne TF","EXACT_SOURCE":"Table 1","CHIP":"Mouse_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes differentially expressed in liver tissue upon knockout of the 1a isoform of SREBF1 [GeneID=6720].","DESCRIPTION_FULL":"We generated a line of mice in which sterol regulatory element binding protein 1a (SREBP-1a) was specifically inactivated by insertional mutagenesis. Homozygous mutant mice were completely viable despite expressing SREBP-1a mRNA below 5% of normal, and there were minimal effects on expression of either SREBP-1c or -2. Microarray expression studies in liver, where SREBP-1a mRNA is 1/10 the level of the highly similar SREBP-1c, demonstrated that only a few genes were affected. The only downregulated genes directly linked to lipid metabolism were Srebf1 (which encodes SREBP-1) and Acacb (which encodes acetyl coenzyme A [acetyl-CoA] carboxylase 2 [ACC2], a critical regulator of fatty acyl-CoA partitioning between cytosol and mitochondria). ACC2 regulation is particularly important during food restriction. Similar to Acacb knockout mice, SREBP-1a-deficient mice have lower hepatic triglycerides and higher serum ketones during fasting than wild-type mice. SREBP-1a and -1c have identical DNA binding and dimerization domains; thus, the failure of the more abundant SREBP-1c to substitute for activating hepatic ACC2 must relate to more efficient recruitment of transcriptional coactivators to the more potent SREBP-1a activation domain. Our chromatin immunoprecipitation results support this hypothesis."}
{"STANDARD_NAME":"HUANG_GATA2_TARGETS_DN","SYSTEMATIC_NAME":"M2439","ORGANISM":"Mus musculus","PMID":"19620289","AUTHORS":"Huang Z,Dore LC,Li Z,Orkin SH,Feng G,Lin S,Crispino JD","GEOID":"GSE16521","EXACT_SOURCE":"Table 2S: Differentially downregulated genes","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in G1ME cells (megakaryocyte/erythroid progenitor lacking GATA1 [GeneID=2623]) upon knockdown of GATA2 [GeneID=2624] by RNAi.","DESCRIPTION_FULL":"GATA-2 is an essential transcription factor that regulates multiple aspects of hematopoiesis. Dysregulation of GATA-2 is a hallmark of acute megakaryoblastic leukemia in children with Down syndrome, a malignancy that is defined by the combination of trisomy 21 and a GATA1 mutation. Here, we show that GATA-2 is required for normal megakaryocyte development as well as aberrant megakaryopoiesis in Gata1 mutant cells. Furthermore, we demonstrate that GATA-2 indirectly controls cell cycle progression in GATA-1-deficient megakaryocytes. Genome-wide microarray analysis and chromatin immunoprecipitation studies revealed that GATA-2 regulates a wide set of genes, including cell cycle regulators and megakaryocyte-specific genes. Surprisingly, GATA-2 also negatively regulates the expression of crucial myeloid transcription factors, such as Sfpi1 and Cebpa. In the absence of GATA-1, GATA-2 prevents induction of a latent myeloid gene expression program. Thus, GATA-2 contributes to cell cycle progression and the maintenance of megakaryocyte identity of GATA-1-deficient cells, including GATA-1s-expressing fetal megakaryocyte progenitors. Moreover, our data reveal that overexpression of GATA-2 facilitates aberrant megakaryopoiesis."}
{"STANDARD_NAME":"LE_NEURONAL_DIFFERENTIATION_UP","SYSTEMATIC_NAME":"M2440","ORGANISM":"Homo sapiens","PMID":"19635812","AUTHORS":"Le MT,Xie H,Zhou B,Chia PH,Rizk P,Um M,Udolph G,Yang H,Lim B,Lodish HF","GEOID":"GSE14787","EXACT_SOURCE":"Table 2S: Exression=Up","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated during neuronal differentiation of SH-SY5Y cells (neuroblastoma) in response to stimulation by tretinoin (all-trans retinoic acid, ATRA) [PubChem=444795] and BDNF [GeneID=627].","DESCRIPTION_FULL":"MicroRNAs (miRNAs) are a class of small noncoding RNAs that regulate gene expression at the posttranscriptional level. Research on miRNAs has highlighted their importance in neural development, but the specific functions of neurally enriched miRNAs remain poorly understood. We report here the expression profile of miRNAs during neuronal differentiation in the human neuroblastoma cell line SH-SY5Y. Six miRNAs were significantly upregulated during differentiation induced by all-trans-retinoic acid and brain-derived neurotrophic factor. We demonstrated that the ectopic expression of either miR-124a or miR-125b increases the percentage of differentiated SH-SY5Y cells with neurite outgrowth. Subsequently, we focused our functional analysis on miR-125b and demonstrated the important role of this miRNA in both the spontaneous and induced differentiations of SH-SH5Y cells. miR-125b is also upregulated during the differentiation of human neural progenitor ReNcell VM cells, and miR-125b ectopic expression significantly promotes the neurite outgrowth of these cells. To identify the targets of miR-125b regulation, we profiled the global changes in gene expression following miR-125b ectopic expression in SH-SY5Y cells. miR-125b represses 164 genes that contain the seed match sequence of the miRNA and/or that are predicted to be direct targets of miR-125b by conventional methods. Pathway analysis suggests that a subset of miR-125b-repressed targets antagonizes neuronal genes in several neurogenic pathways, thereby mediating the positive effect of miR-125b on neuronal differentiation. We have further validated the binding of miR-125b to the miRNA response elements of 10 selected mRNA targets. Together, we report here for the first time the important role of miR-125b in human neuronal differentiation."}
{"STANDARD_NAME":"PLASARI_TGFB1_TARGETS_1HR_DN","SYSTEMATIC_NAME":"M2444","ORGANISM":"Mus musculus","PMID":"19752192","AUTHORS":"Plasari G,Calabrese A,Dusserre Y,Gronostajski RM,McNair A,Michalik L,Mermod N","GEOID":"GSE15871","EXACT_SOURCE":"Table 3S: 1h TGFB1 treated vs untreated: Fold change < 0","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in MEF cells (embryonic fibroblast) upon stimulation with TGFB1 [GeneID=7040] for 1 h.","DESCRIPTION_FULL":"Transforming growth factor beta (TGF-beta) and platelet-derived growth factor A (PDGFAlpha) play a central role in tissue morphogenesis and repair, but their interplay remain poorly understood. The nuclear factor I C (NFI-C) transcription factor has been implicated in TGF-beta signaling, extracellular matrix deposition, and skin appendage pathologies, but a potential role in skin morphogenesis or healing had not been assessed. To evaluate this possibility, we performed a global gene expression analysis in NFI-C(-/-) and wild-type embryonic primary murine fibroblasts. This indicated that NFI-C acts mostly to repress gene expression in response to TGF-beta1. Misregulated genes were prominently overrepresented by regulators of connective tissue inflammation and repair. In vivo skin healing revealed a faster inflammatory stage and wound closure in NFI-C(-/-) mice. Expression of PDGFA and PDGF-receptor alpha were increased in wounds of NFI-C(-/-) mice, explaining the early recruitment of macrophages and fibroblasts. Differentiation of fibroblasts to contractile myofibroblasts was also elevated, providing a rationale for faster wound closure. Taken together with the role of TGF-beta in myofibroblast differentiation, our results imply a central role of NFI-C in the interplay of the two signaling pathways and in regulation of the progression of tissue regeneration."}
{"STANDARD_NAME":"PLASARI_NFIC_TARGETS_BASAL_UP","SYSTEMATIC_NAME":"M2447","ORGANISM":"Mus musculus","PMID":"19752192","AUTHORS":"Plasari G,Calabrese A,Dusserre Y,Gronostajski RM,McNair A,Michalik L,Mermod N","GEOID":"GSE15871","EXACT_SOURCE":"Table 4S: KO vs WT basal condition: Fold Change > 0","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in MEF cells (embryonic fibroblast) upon knockout of NFIC [GeneID=4782].","DESCRIPTION_FULL":"Transforming growth factor beta (TGF-beta) and platelet-derived growth factor A (PDGFAlpha) play a central role in tissue morphogenesis and repair, but their interplay remain poorly understood. The nuclear factor I C (NFI-C) transcription factor has been implicated in TGF-beta signaling, extracellular matrix deposition, and skin appendage pathologies, but a potential role in skin morphogenesis or healing had not been assessed. To evaluate this possibility, we performed a global gene expression analysis in NFI-C(-/-) and wild-type embryonic primary murine fibroblasts. This indicated that NFI-C acts mostly to repress gene expression in response to TGF-beta1. Misregulated genes were prominently overrepresented by regulators of connective tissue inflammation and repair. In vivo skin healing revealed a faster inflammatory stage and wound closure in NFI-C(-/-) mice. Expression of PDGFA and PDGF-receptor alpha were increased in wounds of NFI-C(-/-) mice, explaining the early recruitment of macrophages and fibroblasts. Differentiation of fibroblasts to contractile myofibroblasts was also elevated, providing a rationale for faster wound closure. Taken together with the role of TGF-beta in myofibroblast differentiation, our results imply a central role of NFI-C in the interplay of the two signaling pathways and in regulation of the progression of tissue regeneration."}
{"STANDARD_NAME":"PLASARI_NFIC_TARGETS_BASAL_DN","SYSTEMATIC_NAME":"M2449","ORGANISM":"Mus musculus","PMID":"19752192","AUTHORS":"Plasari G,Calabrese A,Dusserre Y,Gronostajski RM,McNair A,Michalik L,Mermod N","GEOID":"GSE15871","EXACT_SOURCE":"Table 4S: KO vs WT basal condition: Fold Change < 0","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in MEF cells (embryonic fibroblast) upon knockout of NFIC [GeneID=4782].","DESCRIPTION_FULL":"Transforming growth factor beta (TGF-beta) and platelet-derived growth factor A (PDGFAlpha) play a central role in tissue morphogenesis and repair, but their interplay remain poorly understood. The nuclear factor I C (NFI-C) transcription factor has been implicated in TGF-beta signaling, extracellular matrix deposition, and skin appendage pathologies, but a potential role in skin morphogenesis or healing had not been assessed. To evaluate this possibility, we performed a global gene expression analysis in NFI-C(-/-) and wild-type embryonic primary murine fibroblasts. This indicated that NFI-C acts mostly to repress gene expression in response to TGF-beta1. Misregulated genes were prominently overrepresented by regulators of connective tissue inflammation and repair. In vivo skin healing revealed a faster inflammatory stage and wound closure in NFI-C(-/-) mice. Expression of PDGFA and PDGF-receptor alpha were increased in wounds of NFI-C(-/-) mice, explaining the early recruitment of macrophages and fibroblasts. Differentiation of fibroblasts to contractile myofibroblasts was also elevated, providing a rationale for faster wound closure. Taken together with the role of TGF-beta in myofibroblast differentiation, our results imply a central role of NFI-C in the interplay of the two signaling pathways and in regulation of the progression of tissue regeneration."}
{"STANDARD_NAME":"PLASARI_TGFB1_SIGNALING_VIA_NFIC_1HR_UP","SYSTEMATIC_NAME":"M2450","ORGANISM":"Mus musculus","PMID":"19752192","AUTHORS":"Plasari G,Calabrese A,Dusserre Y,Gronostajski RM,McNair A,Michalik L,Mermod N","GEOID":"GSE15871","EXACT_SOURCE":"Table 4S: KO vs WT after 1h of TGFB1 treatment: Fold Change > 0","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated after 1 h of TGFB1 [GeneID=7040] stimulation in MEF cells (embryonic fibroblast) with NFIC [GeneID=4782] knockout vs wild type MEFs.","DESCRIPTION_FULL":"Transforming growth factor beta (TGF-beta) and platelet-derived growth factor A (PDGFAlpha) play a central role in tissue morphogenesis and repair, but their interplay remain poorly understood. The nuclear factor I C (NFI-C) transcription factor has been implicated in TGF-beta signaling, extracellular matrix deposition, and skin appendage pathologies, but a potential role in skin morphogenesis or healing had not been assessed. To evaluate this possibility, we performed a global gene expression analysis in NFI-C(-/-) and wild-type embryonic primary murine fibroblasts. This indicated that NFI-C acts mostly to repress gene expression in response to TGF-beta1. Misregulated genes were prominently overrepresented by regulators of connective tissue inflammation and repair. In vivo skin healing revealed a faster inflammatory stage and wound closure in NFI-C(-/-) mice. Expression of PDGFA and PDGF-receptor alpha were increased in wounds of NFI-C(-/-) mice, explaining the early recruitment of macrophages and fibroblasts. Differentiation of fibroblasts to contractile myofibroblasts was also elevated, providing a rationale for faster wound closure. Taken together with the role of TGF-beta in myofibroblast differentiation, our results imply a central role of NFI-C in the interplay of the two signaling pathways and in regulation of the progression of tissue regeneration."}
{"STANDARD_NAME":"PLASARI_TGFB1_SIGNALING_VIA_NFIC_1HR_DN","SYSTEMATIC_NAME":"M2451","ORGANISM":"Mus musculus","PMID":"19752192","AUTHORS":"Plasari G,Calabrese A,Dusserre Y,Gronostajski RM,McNair A,Michalik L,Mermod N","GEOID":"GSE15871","EXACT_SOURCE":"Table 4S: KO vs WT after 1h of TGFB1 treatment: Fold Change > 0","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated after 1 h of TGFB1 [GeneID=7040] stimulation in MEF cells (embryonic fibroblast) with NFIC [GeneID=4782] knockout vs wild type MEFs.","DESCRIPTION_FULL":"Transforming growth factor beta (TGF-beta) and platelet-derived growth factor A (PDGFAlpha) play a central role in tissue morphogenesis and repair, but their interplay remain poorly understood. The nuclear factor I C (NFI-C) transcription factor has been implicated in TGF-beta signaling, extracellular matrix deposition, and skin appendage pathologies, but a potential role in skin morphogenesis or healing had not been assessed. To evaluate this possibility, we performed a global gene expression analysis in NFI-C(-/-) and wild-type embryonic primary murine fibroblasts. This indicated that NFI-C acts mostly to repress gene expression in response to TGF-beta1. Misregulated genes were prominently overrepresented by regulators of connective tissue inflammation and repair. In vivo skin healing revealed a faster inflammatory stage and wound closure in NFI-C(-/-) mice. Expression of PDGFA and PDGF-receptor alpha were increased in wounds of NFI-C(-/-) mice, explaining the early recruitment of macrophages and fibroblasts. Differentiation of fibroblasts to contractile myofibroblasts was also elevated, providing a rationale for faster wound closure. Taken together with the role of TGF-beta in myofibroblast differentiation, our results imply a central role of NFI-C in the interplay of the two signaling pathways and in regulation of the progression of tissue regeneration."}
{"STANDARD_NAME":"PLASARI_TGFB1_SIGNALING_VIA_NFIC_10HR_UP","SYSTEMATIC_NAME":"M2452","ORGANISM":"Mus musculus","PMID":"19752192","AUTHORS":"Plasari G,Calabrese A,Dusserre Y,Gronostajski RM,McNair A,Michalik L,Mermod N","GEOID":"GSE15871","EXACT_SOURCE":"Table 4S: KO vs WT after 10h of TGFB1 treatment: Fold Change > 0","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated after 10 h of TGFB1 [GeneID=7040] stimulation in MEF cells (embryonic fibroblast) with NFIC [GeneID=4782] knockout vs wild type MEFs.","DESCRIPTION_FULL":"Transforming growth factor beta (TGF-beta) and platelet-derived growth factor A (PDGFAlpha) play a central role in tissue morphogenesis and repair, but their interplay remain poorly understood. The nuclear factor I C (NFI-C) transcription factor has been implicated in TGF-beta signaling, extracellular matrix deposition, and skin appendage pathologies, but a potential role in skin morphogenesis or healing had not been assessed. To evaluate this possibility, we performed a global gene expression analysis in NFI-C(-/-) and wild-type embryonic primary murine fibroblasts. This indicated that NFI-C acts mostly to repress gene expression in response to TGF-beta1. Misregulated genes were prominently overrepresented by regulators of connective tissue inflammation and repair. In vivo skin healing revealed a faster inflammatory stage and wound closure in NFI-C(-/-) mice. Expression of PDGFA and PDGF-receptor alpha were increased in wounds of NFI-C(-/-) mice, explaining the early recruitment of macrophages and fibroblasts. Differentiation of fibroblasts to contractile myofibroblasts was also elevated, providing a rationale for faster wound closure. Taken together with the role of TGF-beta in myofibroblast differentiation, our results imply a central role of NFI-C in the interplay of the two signaling pathways and in regulation of the progression of tissue regeneration."}
{"STANDARD_NAME":"PLASARI_TGFB1_SIGNALING_VIA_NFIC_10HR_DN","SYSTEMATIC_NAME":"M2455","ORGANISM":"Mus musculus","PMID":"19752192","AUTHORS":"Plasari G,Calabrese A,Dusserre Y,Gronostajski RM,McNair A,Michalik L,Mermod N","GEOID":"GSE15871","EXACT_SOURCE":"Table 4S: KO vs WT after 10h of TGFB1 treatment: Fold Change < 0","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated after 10 h of TGFB1 [GeneID=7040] stimulation in MEF cells (embryonic fibroblast) with NFIC [GeneID=4782] knockout vs wild type MEFs.","DESCRIPTION_FULL":"Transforming growth factor beta (TGF-beta) and platelet-derived growth factor A (PDGFAlpha) play a central role in tissue morphogenesis and repair, but their interplay remain poorly understood. The nuclear factor I C (NFI-C) transcription factor has been implicated in TGF-beta signaling, extracellular matrix deposition, and skin appendage pathologies, but a potential role in skin morphogenesis or healing had not been assessed. To evaluate this possibility, we performed a global gene expression analysis in NFI-C(-/-) and wild-type embryonic primary murine fibroblasts. This indicated that NFI-C acts mostly to repress gene expression in response to TGF-beta1. Misregulated genes were prominently overrepresented by regulators of connective tissue inflammation and repair. In vivo skin healing revealed a faster inflammatory stage and wound closure in NFI-C(-/-) mice. Expression of PDGFA and PDGF-receptor alpha were increased in wounds of NFI-C(-/-) mice, explaining the early recruitment of macrophages and fibroblasts. Differentiation of fibroblasts to contractile myofibroblasts was also elevated, providing a rationale for faster wound closure. Taken together with the role of TGF-beta in myofibroblast differentiation, our results imply a central role of NFI-C in the interplay of the two signaling pathways and in regulation of the progression of tissue regeneration."}
{"STANDARD_NAME":"DELACROIX_RAR_TARGETS_DN","SYSTEMATIC_NAME":"M2465","ORGANISM":"Mus musculus","PMID":"19884340","AUTHORS":"Delacroix L,Moutier E,Altobelli G,Legras S,Poch O,Choukrallah MA,Bertin I,Jost B,Davidson I","EXACT_SOURCE":"Table 1S: RA-regulation of target genes: Log change < 0","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes bound by RARG [GeneID=5916] and down-regulated by tretinoin (all-trans retinoic acid, ATRA) [PubChem=444795] in MEF cells (embryonic fibroblast).","DESCRIPTION_FULL":"All-trans retinoic acid (RA) induces transforming growth factor beta (TGF-beta)-dependent autocrine growth of mouse embryonic fibroblasts (MEFs). We have used chromatin immunoprecipitation to map 354 RA receptor (RAR) binding loci in MEFs, most of which were similarly occupied by the RAR alpha and RAR gamma receptors. Only a subset of the genes associated with these loci are regulated by RA, among which are several critical components of the TGF-beta pathway. We also show RAR binding to a novel series of target genes involved in cell cycle regulation, transformation, and metastasis, suggesting new pathways by which RA may regulate proliferation and cancer. Few of the RAR binding loci contained consensus direct-repeat (DR)-type elements. The majority comprised either degenerate DRs or no identifiable DRs but anomalously spaced half sites. Furthermore, we identify 462 RAR target loci in embryonic stem (ES) cells and show that their occupancy is cell type specific. Our results also show that differences in the chromatin landscape regulate the accessibility of a subset of more than 700 identified loci to RARs, thus modulating the repertoire of target genes that can be regulated and the biological effects of RA."}
{"STANDARD_NAME":"MALIK_REPRESSED_BY_ESTROGEN","SYSTEMATIC_NAME":"M2470","ORGANISM":"Homo sapiens","PMID":"19917725","AUTHORS":"Malik S,Jiang S,Garee JP,Verdin E,Lee AV,O'Malley BW,Zhang M,Belaguli NS,Oesterreich S","EXACT_SOURCE":"Fig. 1A","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes consistently and robustly repressed by estradiol [PubChem=5757] in MCF7 cells (breast cancer); this reperession was prevented by fulvestrant [PubChem=3478439].","DESCRIPTION_FULL":"Activation of estrogen receptor alpha (ERalpha) results in both induction and repression of gene transcription; while mechanistic details of estrogen induction are well described, details of repression remain largely unknown. We characterized several ERalpha-repressed targets and examined in detail the mechanism for estrogen repression of Reprimo (RPRM), a cell cycle inhibitor. Estrogen repression of RPRM is rapid and robust and requires a tripartite interaction between ERalpha, histone deacetylase 7 (HDAC7), and FoxA1. HDAC7 is the critical HDAC needed for repression of RPRM; it can bind to ERalpha and represses ERalpha's transcriptional activity--this repression does not require HDAC7's deacetylase activity. We further show that the chromatin pioneer factor FoxA1, well known for its role in estrogen induction of genes, is recruited to the RPRM promoter, is necessary for repression of RPRM, and interacts with HDAC7. Like other FoxA1 recruitment sites, the RPRM promoter is characterized by H3K4me1/me2. Estrogen treatment causes decreases in H3K4me1/me2 and release of RNA polymerase II (Pol II) from the RPRM proximal promoter. Overall, these data implicate a novel role for HDAC7 and FoxA1 in estrogen repression of RPRM, a mechanism which could potentially be generalized to many more estrogen-repressed genes and hence be important in both normal physiology and pathological processes."}
{"STANDARD_NAME":"TIAN_BHLHA15_TARGETS","SYSTEMATIC_NAME":"M2471","ORGANISM":"Homo sapiens","PMID":"20038531","AUTHORS":"Tian X,Jin RU,Bredemeyer AJ,Oates EJ,Błazewska KM,McKenna CE,Mills JC","GEOID":"GSE16924","EXACT_SOURCE":"Table 1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in both AGS and HGC-27 cells (gastric cancer) by BHLHA15 [GeneID=168620] transfection.","DESCRIPTION_FULL":"Little is known about how differentiating cells reorganize their cellular structure to perform specialized physiological functions. MIST1, an evolutionarily conserved transcription factor, is required for the formation of large, specialized secretory vesicles in gastric zymogenic (chief) cells (ZCs) as they differentiate from their mucous neck cell progenitors. Here, we show that MIST1 binds to highly conserved CATATG E-boxes to directly activate transcription of 6 genes, including those encoding the small GTPases RAB26 and RAB3D. We next show that RAB26 and RAB3D expression is significantly downregulated in Mist1(-)(/)(-) ZCs, suggesting that MIST1 establishes large secretory granules by inducing RAB transcription. To test this hypothesis, we transfected human gastric cancer cell lines stably expressing MIST1 with red fluorescent protein (RFP)-tagged pepsinogen C, a key secretory product of ZCs. Those cells upregulate expression of RAB26 and RAB3D to form large secretory granules, whereas control, non-MIST1-expressing cells do not. Moreover, granule formation in MIST1-expressing cells requires RAB activity because treatment with a RAB prenylation inhibitor and transfection of dominant negative RAB26 abrogate granule formation. Together, our data establish the molecular process by which a transcription factor can directly induce fundamental cellular architecture changes by increasing transcription of specific cellular effectors that act to organize a unique subcellular compartment."}
{"STANDARD_NAME":"LIU_IL13_MEMORY_MODEL_UP","SYSTEMATIC_NAME":"M2474","ORGANISM":"Homo sapiens","PMID":"20123980","AUTHORS":"Liu W,Tundwal K,Liang Q,Goplen N,Rozario S,Quayum N,Gorska M,Wenzel S,Balzar S,Alam R","EXACT_SOURCE":"Table 2: Genes upregulated in the repeatedstimulationmodel","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in BEAS-2B cells (bronchial epithelium) stimulated with IL13 [GeneID=3596] on days 1 to 3 and then rested for the next 3 days (repeated-stimulation or memory model)","DESCRIPTION_FULL":"Our objective was to establish an experimental model of a self-sustained and bistable extracellular signal-regulated kinase 1/2 (ERK1/2) signaling process. A single stimulation of cells with cytokines causes rapid ERK1/2 activation, which returns to baseline in 4 h. Repeated stimulation leads to sustained activation of ERK1/2 but not Jun N-terminal protein kinase (JNK), p38, or STAT6. The ERK1/2 activation lasts for 3 to 7 days and depends upon a positive-feedback mechanism involving Sprouty 2. Overexpression of Sprouty 2 induces, and its genetic deletion abrogates, ERK1/2 bistability. Sprouty 2 directly activates Fyn kinase, which then induces ERK1/2 activation. A genome-wide microarray analysis shows that the bistable phospho-ERK1/2 (pERK1/2) does not induce a high level of gene transcription. This is due to its nuclear exclusion and compartmentalization to Rab5+ endosomes. Cells with sustained endosomal pERK1/2 manifest resistance against growth factor withdrawal-induced cell death. They are primed for heightened cytokine production. Epithelial cells from cases of human asthma and from a mouse model of chronic asthma manifest increased pERK1/2, which is associated with Rab5+ endosomes. The increase in pERK1/2 was associated with a simultaneous increase in Sprouty 2 expression in these tissues. Thus, we have developed a cellular model of sustained ERK1/2 activation, which may provide a mechanistic understanding of self-sustained biological processes in chronic illnesses such as asthma."}
{"STANDARD_NAME":"LIU_IL13_MEMORY_MODEL_DN","SYSTEMATIC_NAME":"M2475","ORGANISM":"Homo sapiens","PMID":"20123980","AUTHORS":"Liu W,Tundwal K,Liang Q,Goplen N,Rozario S,Quayum N,Gorska M,Wenzel S,Balzar S,Alam R","EXACT_SOURCE":"Genes downregulated in therepeated-stimulation model","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in BEAS-2B cells (bronchial epithelium) stimulated with IL13 [GeneID=3596] on days 1 to 3 and then rested for the next 3 days (repeated-stimulation or memory model)","DESCRIPTION_FULL":"Our objective was to establish an experimental model of a self-sustained and bistable extracellular signal-regulated kinase 1/2 (ERK1/2) signaling process. A single stimulation of cells with cytokines causes rapid ERK1/2 activation, which returns to baseline in 4 h. Repeated stimulation leads to sustained activation of ERK1/2 but not Jun N-terminal protein kinase (JNK), p38, or STAT6. The ERK1/2 activation lasts for 3 to 7 days and depends upon a positive-feedback mechanism involving Sprouty 2. Overexpression of Sprouty 2 induces, and its genetic deletion abrogates, ERK1/2 bistability. Sprouty 2 directly activates Fyn kinase, which then induces ERK1/2 activation. A genome-wide microarray analysis shows that the bistable phospho-ERK1/2 (pERK1/2) does not induce a high level of gene transcription. This is due to its nuclear exclusion and compartmentalization to Rab5+ endosomes. Cells with sustained endosomal pERK1/2 manifest resistance against growth factor withdrawal-induced cell death. They are primed for heightened cytokine production. Epithelial cells from cases of human asthma and from a mouse model of chronic asthma manifest increased pERK1/2, which is associated with Rab5+ endosomes. The increase in pERK1/2 was associated with a simultaneous increase in Sprouty 2 expression in these tissues. Thus, we have developed a cellular model of sustained ERK1/2 activation, which may provide a mechanistic understanding of self-sustained biological processes in chronic illnesses such as asthma."}
{"STANDARD_NAME":"FU_INTERACT_WITH_ALKBH8","SYSTEMATIC_NAME":"M2478","ORGANISM":"Homo sapiens","PMID":"20308323","AUTHORS":"Fu D,Brophy JA,Chan CT,Atmore KA,Begley U,Paules RS,Dedon PC,Begley TJ,Samson LD","EXACT_SOURCE":"Table 2","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Proteins identified by mass spectrometry in complexes containing ALKBH8 [GeneID=91801].","DESCRIPTION_FULL":"tRNA nucleosides are extensively modified to ensure their proper function in translation. However, many of the enzymes responsible for tRNA modifications in mammals await identification. Here, we show that human AlkB homolog 8 (ABH8) catalyzes tRNA methylation to generate 5-methylcarboxymethyl uridine (mcm(5)U) at the wobble position of certain tRNAs, a critical anticodon loop modification linked to DNA damage survival. We find that ABH8 interacts specifically with tRNAs containing mcm(5)U and that purified ABH8 complexes methylate RNA in vitro. Significantly, ABH8 depletion in human cells reduces endogenous levels of mcm(5)U in RNA and increases cellular sensitivity to DNA-damaging agents. Moreover, DNA-damaging agents induce ABH8 expression in an ATM-dependent manner. These results expand the role of mammalian AlkB proteins beyond that of direct DNA repair and support a regulatory mechanism in the DNA damage response pathway involving modulation of tRNA modification."}
{"STANDARD_NAME":"SUZUKI_CTCFL_TARGETS_UP","SYSTEMATIC_NAME":"M2479","ORGANISM":"Mus musculus","PMID":"20231363","AUTHORS":"Suzuki T,Kosaka-Suzuki N,Pack S,Shin DM,Yoon J,Abdullaev Z,Pugacheva E,Morse HC 3rd,Loukinov D,Lobanenkov V","GEOID":"GSE19162","EXACT_SOURCE":"Fig. 2S: red","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in testis tissue upon knockout of CTCFL [GeneID=140690].","DESCRIPTION_FULL":"Previously, it was shown that the CTCF paralogous gene, BORIS (brother of the regulator of imprinted sites) is expressed in male germ cells, but its function in spermatogenesis has not been defined. To develop an understanding of the functional activities of BORIS, we generated BORIS knockout (KO) mice. Mice homozygous for the null allele had a defect in spermatogenesis that resulted in small testes associated with increased cell death. The defect was evident as early as postnatal day 21 and was manifested by delayed production of haploid cells. By gene expression profiling, we found that transcript levels for Gal3st1 (also known as cerebroside sulfotransferase [CST]), known to play a crucial role in meiosis, were dramatically reduced in BORIS KO testes. We found that CST is expressed in testis as a novel testis-specific isoform, CST form F(TS), that has a short exon 1f. We showed that BORIS bound to and activated the promoter of CST form F(TS). Mutation of the BORIS binding site in the promoter reduced the ability of BORIS to activate the promoter. These findings define transcriptional regulation of CST expression as a critical role for BORIS in spermatogenesis."}
{"STANDARD_NAME":"GUILLAUMOND_KLF10_TARGETS_UP","SYSTEMATIC_NAME":"M2485","ORGANISM":"Mus musculus","PMID":"20385766","AUTHORS":"Guillaumond F,Gréchez-Cassiau A,Subramaniam M,Brangolo S,Peteri-Brünback B,Staels B,Fiévet C,Spelsberg TC,Delaunay F,Teboul M","GEOID":"E-MEXP-2089","EXACT_SOURCE":"Table 3S: Ratio > 1","CHIP":"Mouse_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in the liver tissue from 10 week old male mice with KLF10 [GeneID=7071] compared to wild-type littermates.","DESCRIPTION_FULL":"The circadian timing system coordinates many aspects of mammalian physiology and behavior in synchrony with the external light/dark cycle. These rhythms are driven by endogenous molecular clocks present in most body cells. Many clock outputs are transcriptional regulators, suggesting that clock genes primarily control physiology through indirect pathways. Here, we show that Krüppel-like factor 10 (KLF10) displays a robust circadian expression pattern in wild-type mouse liver but not in clock-deficient Bmal1 knockout mice. Consistently, the Klf10 promoter recruited the BMAL1 core clock protein and was transactivated by the CLOCK-BMAL1 heterodimer through a conserved E-box response element. Profiling the liver transcriptome from Klf10(-/-) mice identified 158 regulated genes with significant enrichment for transcripts involved in lipid and carbohydrate metabolism. Importantly, approximately 56% of these metabolic genes are clock controlled. Male Klf10(-/-) mice displayed postprandial and fasting hyperglycemia, a phenotype accompanied by a significant time-of-day-dependent upregulation of the gluconeogenic gene Pepck and increased hepatic glucose production. Consistently, functional data showed that the proximal Pepck promoter is repressed directly by KLF10. Klf10(-/-) females were normoglycemic but displayed higher plasma triglycerides. Correspondingly, rhythmic gene expression of components of the lipogenic pathway, including Srebp1c, Fas, and Elovl6, was altered in females. Collectively, these data establish KLF10 as a required circadian transcriptional regulator that links the molecular clock to energy metabolism in the liver."}
{"STANDARD_NAME":"GUILLAUMOND_KLF10_TARGETS_DN","SYSTEMATIC_NAME":"M2486","ORGANISM":"Mus musculus","PMID":"20385766","AUTHORS":"Guillaumond F,Gréchez-Cassiau A,Subramaniam M,Brangolo S,Peteri-Brünback B,Staels B,Fiévet C,Spelsberg TC,Delaunay F,Teboul M","GEOID":"E-MEXP-2089","EXACT_SOURCE":"Table 3S: Ratio < 1","CHIP":"Mouse_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in the liver tissue from 10 week old male mice with KLF10 [GeneID=7071] compared to wild-type littermates.","DESCRIPTION_FULL":"The circadian timing system coordinates many aspects of mammalian physiology and behavior in synchrony with the external light/dark cycle. These rhythms are driven by endogenous molecular clocks present in most body cells. Many clock outputs are transcriptional regulators, suggesting that clock genes primarily control physiology through indirect pathways. Here, we show that Krüppel-like factor 10 (KLF10) displays a robust circadian expression pattern in wild-type mouse liver but not in clock-deficient Bmal1 knockout mice. Consistently, the Klf10 promoter recruited the BMAL1 core clock protein and was transactivated by the CLOCK-BMAL1 heterodimer through a conserved E-box response element. Profiling the liver transcriptome from Klf10(-/-) mice identified 158 regulated genes with significant enrichment for transcripts involved in lipid and carbohydrate metabolism. Importantly, approximately 56% of these metabolic genes are clock controlled. Male Klf10(-/-) mice displayed postprandial and fasting hyperglycemia, a phenotype accompanied by a significant time-of-day-dependent upregulation of the gluconeogenic gene Pepck and increased hepatic glucose production. Consistently, functional data showed that the proximal Pepck promoter is repressed directly by KLF10. Klf10(-/-) females were normoglycemic but displayed higher plasma triglycerides. Correspondingly, rhythmic gene expression of components of the lipogenic pathway, including Srebp1c, Fas, and Elovl6, was altered in females. Collectively, these data establish KLF10 as a required circadian transcriptional regulator that links the molecular clock to energy metabolism in the liver."}
{"STANDARD_NAME":"FORTSCHEGGER_PHF8_TARGETS_UP","SYSTEMATIC_NAME":"M2487","ORGANISM":"Homo sapiens","PMID":"20421419","AUTHORS":"Fortschegger K,de Graaf P,Outchkourov NS,van Schaik FM,Timmers HT,Shiekhattar R","GEOID":"GSE20753","EXACT_SOURCE":"Table 3S: sheet: Upregulated","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in HeLa cells (cervical carcinoma) upon knockdown of PHF8 [GeneID=23133] by RNAi.","DESCRIPTION_FULL":"Mutations in PHF8 are associated with X-linked mental retardation and cleft lip/cleft palate. PHF8 contains a plant homeodomain (PHD) in its N terminus and is a member of a family of JmjC domain-containing proteins. While PHDs can act as methyl lysine recognition motifs, JmjC domains can catalyze lysine demethylation. Here, we show that PHF8 is a histone demethylase that removes repressive histone H3 dimethyl lysine 9 marks. Our biochemical analysis revealed specific association of the PHF8 PHD with histone H3 trimethylated at lysine 4 (H3K4me3). Chromatin immunoprecipitation followed by high-throughput sequencing indicated that PHF8 is enriched at the transcription start sites of many active or poised genes, mirroring the presence of RNA polymerase II (RNAPII) and of H3K4me3-bearing nucleosomes. We show that PHF8 can act as a transcriptional coactivator and that its activation function largely depends on binding of the PHD to H3K4me3. Furthermore, we present evidence for direct interaction of PHF8 with the C-terminal domain of RNAPII. Importantly, a PHF8 disease mutant was defective in demethylation and in coactivation. This is the first demonstration of a chromatin-modifying enzyme that is globally recruited to promoters through its association with H3K4me3 and RNAPII."}
{"STANDARD_NAME":"BRIDEAU_IMPRINTED_GENES","SYSTEMATIC_NAME":"M2491","ORGANISM":"Mus musculus","PMID":"20421412","AUTHORS":"Brideau CM,Eilertson KE,Hagarman JA,Bustamante CD,Soloway PD","EXACT_SOURCE":"Table 3, 1AS","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"List of genomically imprinted genes.","DESCRIPTION_FULL":"Approximately 100 mouse genes undergo genomic imprinting, whereby one of the two parental alleles is epigenetically silenced. Imprinted genes influence processes including development, X chromosome inactivation, obesity, schizophrenia, and diabetes, motivating the identification of all imprinted loci. Local sequence features have been used to predict candidate imprinted genes, but rigorous testing using reciprocal crosses validated only three, one of which resided in previously identified imprinting clusters. Here we show that specific epigenetic features in mouse cells correlate with imprinting status in mice, and we identify hundreds of additional genes predicted to be imprinted in the mouse. We used a multitiered approach to validate imprinted expression, including use of a custom single nucleotide polymorphism array and traditional molecular methods. Of 65 candidates subjected to molecular assays for allele-specific expression, we found 10 novel imprinted genes that were maternally expressed in the placenta."}
{"STANDARD_NAME":"PEDRIOLI_MIR31_TARGETS_UP","SYSTEMATIC_NAME":"M2493","ORGANISM":"Homo sapiens","PMID":"20479124","AUTHORS":"Pedrioli DM,Karpanen T,Dabouras V,Jurisic G,Hoek de van G,Shin JW,Marino D,Kälin RE,Leidel S,Cinelli P,Schulte-Merker S,Brändli AW,Detmar M","GEOID":"GSE16908","EXACT_SOURCE":"Table 4S","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in primary LEC cells (lymphatic endothelum) upon overexpression of MIR31 [GeneID=407035].","DESCRIPTION_FULL":"The lymphatic vascular system maintains tissue fluid homeostasis, helps mediate afferent immune responses, and promotes cancer metastasis. To address the role microRNAs (miRNAs) play in the development and function of the lymphatic vascular system, we defined the in vitro miRNA expression profiles of primary human lymphatic endothelial cells (LECs) and blood vascular endothelial cells (BVECs) and identified four BVEC signature and two LEC signature miRNAs. Their vascular lineage-specific expression patterns were confirmed in vivo by quantitative real-time PCR and in situ hybridization. Functional characterization of the BVEC signature miRNA miR-31 identified a novel BVEC-specific posttranscriptional regulatory mechanism that inhibits the expression of lymphatic lineage-specific transcripts in vitro. We demonstrate that suppression of lymphatic differentiation is partially mediated via direct repression of PROX1, a transcription factor that functions as a master regulator of lymphatic lineage-specific differentiation. Finally, in vivo studies of Xenopus and zebrafish demonstrated that gain of miR-31 function impaired venous sprouting and lymphatic vascular development, thus highlighting the importance of miR-31 as a negative regulator of lymphatic development. Collectively, our findings identify miR-31 is a potent regulator of vascular lineage-specific differentiation and development in vertebrates."}
{"STANDARD_NAME":"PHONG_TNF_TARGETS_DN","SYSTEMATIC_NAME":"M2498","ORGANISM":"Homo sapiens","PMID":"20516219","AUTHORS":"Phong MS,Van Horn RD,Li S,Tucker-Kellogg G,Surana U,Ye XS","EXACT_SOURCE":"Table 1S: Fold changes < 0","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in Calu-6 cells (lung cancer) at 1 h time point after TNF [GeneID=7124] treatment.","DESCRIPTION_FULL":"p38 mitogen-activated protein kinase (MAPK) is rapidly activated by stresses and is believed to play an important role in the stress response. While Chk1 is known to mediate G(2) DNA damage checkpoint control, p38 was also reported to have an essential function in this checkpoint control. Here, we have investigated further the roles of p38 and Chk1 in the G(2) DNA damage checkpoint in cancer cells. We find that although p38 activation is strongly induced by DNA damage, its activity is not required for the G(2) DNA damage checkpoint. In contrast, Chk1 kinase is responsible for the execution of G(2) DNA damage checkpoint control in p53-deficient cells. The inhibition of p38 activity has no effect on Chk1 activation and gamma-H2AX expression. Global gene expression profiling of cancer cells in response to tumor necrosis factor alpha (TNF-alpha) revealed that p38 plays a strong prosurvival role through the coordinated downregulation of proapoptotic genes and upregulation of prosurvival genes. We show that the inhibition of p38 activity during G(2) DNA damage checkpoint arrest triggers apoptosis in a p53-independent manner with a concurrent decrease in the level of Bcl2 family proteins. Our results suggest that although p38 MAPK is not required for the G(2) DNA damage checkpoint function, it plays an important prosurvival role during the G(2) DNA damage checkpoint response through the upregulation of the Bcl2 family proteins."}
{"STANDARD_NAME":"RATTENBACHER_BOUND_BY_CELF1","SYSTEMATIC_NAME":"M2505","ORGANISM":"Homo sapiens","PMID":"20547756","AUTHORS":"Rattenbacher B,Beisang D,Wiesner DL,Jeschke JC,von Hohenberg M,St Louis-Vlasova IA,Bohjanen PR","EXACT_SOURCE":"Table 1S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Transcripts bound by CELF1 [GeneID=10658] in HeLa cells (cervical carcinoma).","DESCRIPTION_FULL":"CUG-repeat binding protein 1 (CUGBP1) mediates selective mRNA decay by binding to GU-rich elements (GREs) containing the sequence UGUUUGUUUGU found in the 3' untranslated region (UTR) of short-lived transcripts. We used an anti-CUGBP1 antibody to immunoprecipitate CUGBP1 from HeLa cytoplasmic extracts and analyzed the associated transcripts using oligonucleotide microarrays. We identified 613 putative mRNA targets of CUGBP1 and found that the UGUUUGUUUGU GRE sequence and a GU-repeat sequence were both highly enriched in the 3' UTRs of these targets. We showed that CUGBP1 bound specifically to the GU-repeat sequence and that insertion of this sequence into the 3' UTR of a beta-globin reporter transcript conferred instability to the transcript. Based on these results, we redefined the GRE to include this GU-repeat sequence. Our results suggest that CUGBP1 coordinately regulates the mRNA decay of a network of transcripts involved in cell growth, cell motility, and apoptosis."}
{"STANDARD_NAME":"KINNEY_DNMT1_METHYLATION_TARGETS","SYSTEMATIC_NAME":"M2508","ORGANISM":"Mus musculus","PMID":"20584988","AUTHORS":"Kinney SR,Moser MT,Pascual M,Greally JM,Foster BA,Karpf AR","EXACT_SOURCE":"Table 2","CHIP":"Mouse_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Hypomethylated genes in prostate tissue from mice carrying hypomorphic alleles of DNMT1 [GeneID=1786].","DESCRIPTION_FULL":"Previous studies have shown that tumor progression in the transgenic adenocarcinoma of mouse prostate (TRAMP) model is characterized by global DNA hypomethylation initiated during early-stage disease and locus-specific DNA hypermethylation occurring predominantly in late-stage disease. Here, we utilized Dnmt1 hypomorphic alleles to examine the role of Dnmt1 in normal prostate development and in prostate cancer in TRAMP. Prostate tissue morphology and differentiation status was normal in Dnmt1 hypomorphic mice, despite global DNA hypomethylation. TRAMP; Dnmt1 hypomorphic mice also displayed global DNA hypomethylation, but were characterized by altered tumor phenotype. Specifically, TRAMP; Dnmt1 hypomorphic mice exhibited slightly increased tumor incidence and significantly increased pathological progression at early ages and, conversely, displayed slightly decreased tumor incidence and significantly decreased pathological progression at advanced ages. Remarkably, hypomorphic Dnmt1 expression abrogated local and distant site macrometastases. Thus, Dnmt1 has tumor suppressor activity in early-stage prostate cancer, and oncogenic activity in late stage prostate cancer and metastasis. Consistent with the biological phenotype, epigenomic studies revealed that TRAMP; Dnmt1 hypomorphic mice show dramatically reduced CpG island and promoter DNA hypermethylation in late-stage primary tumors compared to control mice. Taken together, the data reveal a crucial role for Dnmt1 in prostate cancer and suggest that Dnmt1-targeted interventions may have utility specifically for advanced and/or metastatic prostate cancer."}
{"STANDARD_NAME":"FOSTER_KDM1A_TARGETS_UP","SYSTEMATIC_NAME":"M2512","ORGANISM":"Mus musculus","PMID":"20713442","AUTHORS":"Foster CT,Dovey OM,Lezina L,Luo JL,Gant TW,Barlev N,Bradley A,Cowley SM","GEOID":"GSE21131","EXACT_SOURCE":"Table 1S: Up-regulated genes","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in ES cells (embryonic stem) heterozygotic for KDM1A [GeneID=23028] loss of function mutant compared to the homozygotic loss of the gene.","DESCRIPTION_FULL":"Lysine-specific demethylase 1 (LSD1), which demethylates mono- and dimethylated histone H3-Lys4 as part of a complex including CoREST and histone deacetylases (HDACs), is essential for embryonic development in the mouse beyond embryonic day 6.5 (e6.5). To determine the role of LSD1 during this early period of embryogenesis, we have generated loss-of-function gene trap mice and conditional knockout embryonic stem (ES) cells. Analysis of postimplantation gene trap embryos revealed that LSD1 expression, and therefore function, is restricted to the epiblast. Conditional deletion of LSD1 in mouse ES cells, the in vitro counterpart of the epiblast, revealed a reduction in CoREST protein and associated HDAC activity, resulting in a global increase in histone H3-Lys56 acetylation, but not H3-Lys4 methylation. Despite this biochemical perturbation, ES cells with LSD1 deleted proliferate normally and retain stem cell characteristics. Loss of LSD1 causes the aberrant expression of 588 genes, including those coding for transcription factors with roles in anterior/posterior patterning and limb development, such as brachyury, Hoxb7, Hoxd8, and retinoic acid receptor γ (RARγ). The gene coding for brachyury, a key regulator of mesodermal differentiation, is a direct target gene of LSD1 and is overexpressed in e6.5 Lsd1 gene trap embryos. Thus, LSD1 regulates the expression and appropriate timing of key developmental regulators, as part of the LSD1/CoREST/HDAC complex, during early embryonic development."}
{"STANDARD_NAME":"FOSTER_KDM1A_TARGETS_DN","SYSTEMATIC_NAME":"M2514","ORGANISM":"Mus musculus","PMID":"20713442","AUTHORS":"Foster CT,Dovey OM,Lezina L,Luo JL,Gant TW,Barlev N,Bradley A,Cowley SM","GEOID":"GSE21131","EXACT_SOURCE":"Table 1S: Down-regulated genes","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in ES cells (embryonic stem) heterozygotic for KDM1A [GeneID=23028] loss of function mutant compared to the homozygotic loss of the gene.","DESCRIPTION_FULL":"Lysine-specific demethylase 1 (LSD1), which demethylates mono- and dimethylated histone H3-Lys4 as part of a complex including CoREST and histone deacetylases (HDACs), is essential for embryonic development in the mouse beyond embryonic day 6.5 (e6.5). To determine the role of LSD1 during this early period of embryogenesis, we have generated loss-of-function gene trap mice and conditional knockout embryonic stem (ES) cells. Analysis of postimplantation gene trap embryos revealed that LSD1 expression, and therefore function, is restricted to the epiblast. Conditional deletion of LSD1 in mouse ES cells, the in vitro counterpart of the epiblast, revealed a reduction in CoREST protein and associated HDAC activity, resulting in a global increase in histone H3-Lys56 acetylation, but not H3-Lys4 methylation. Despite this biochemical perturbation, ES cells with LSD1 deleted proliferate normally and retain stem cell characteristics. Loss of LSD1 causes the aberrant expression of 588 genes, including those coding for transcription factors with roles in anterior/posterior patterning and limb development, such as brachyury, Hoxb7, Hoxd8, and retinoic acid receptor γ (RARγ). The gene coding for brachyury, a key regulator of mesodermal differentiation, is a direct target gene of LSD1 and is overexpressed in e6.5 Lsd1 gene trap embryos. Thus, LSD1 regulates the expression and appropriate timing of key developmental regulators, as part of the LSD1/CoREST/HDAC complex, during early embryonic development."}
{"STANDARD_NAME":"RAO_BOUND_BY_SALL4_ISOFORM_A","SYSTEMATIC_NAME":"M2517","ORGANISM":"Mus musculus","PMID":"20837710","AUTHORS":"Rao S,Zhen S,Roumiantsev S,McDonald LT,Yuan GC,Orkin SH","GEOID":"GSE21056","EXACT_SOURCE":"Table 1S, 2S: bound by Sal4a but not by Sal4b","CHIP":"Mouse_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Loci bound exclusively by SALL4 [GeneID=57167] isoform a in ES cells (embryonic stem).","DESCRIPTION_FULL":"Murine embryonic stem (ES) cells are defined by continuous self-renewal and pluripotency. A diverse repertoire of protein isoforms arising from alternative splicing is expressed in ES cells without defined biological roles. Sall4, a transcription factor essential for pluripotency, exists as two isoforms (Sall4a and Sall4b). Both isoforms can form homodimers and a heterodimer with each other, and each can interact with Nanog. By genomewide location analysis, we determined that Sall4a and Sall4b have overlapping, but not identical binding sites within the ES cell genome. In addition, Sall4b, but not Sall4a, binds preferentially to highly expressed loci in ES cells. Sall4a and Sall4b binding sites are distinguished by both epigenetic marks at target loci and their clustering with binding sites of other pluripotency factors. When ES cells expressing a single isoform of Sall4 are generated, Sall4b alone could maintain the pluripotent state, although it could not completely suppress all differentiation markers. Sall4a and Sall4b collaborate in maintenance of the pluripotent state but play distinct roles. Our work is novel in establishing such isoform-specific differences in ES cells."}
{"STANDARD_NAME":"VANOEVELEN_MYOGENESIS_SIN3A_TARGETS","SYSTEMATIC_NAME":"M2524","ORGANISM":"Mus musculus","PMID":"20956564","AUTHORS":"van Oevelen C,Bowman C,Pellegrino J,Asp P,Cheng J,Parisi F,Micsinai M,Kluger Y,Chu A,Blais A,David G,Dynlacht BD","GEOID":"GSE19968","EXACT_SOURCE":"Table 1S: Sin3A targets only","CHIP":"MOUSE_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Loci bound exclusively by SIN3A [GeneID=25942] in myotubules.","DESCRIPTION_FULL":"The highly related mammalian Sin3A and Sin3B proteins provide a versatile platform for chromatin-modifying activities. Sin3-containing complexes play a role in gene repression through deacetylation of nucleosomes. Here, we explore a role for Sin3 in myogenesis by examining the phenotypes resulting from acute somatic deletion of both isoforms in vivo and from primary myotubes in vitro. Myotubes ablated for Sin3A alone, but not Sin3B, displayed gross defects in sarcomere structure that were considerably enhanced upon simultaneous ablation of both isoforms. Massively parallel sequencing of Sin3A- and Sin3B-bound genomic loci revealed a subset of target genes directly involved in sarcomere function that are positively regulated by Sin3A and Sin3B proteins. Both proteins were coordinately recruited to a substantial number of genes. Interestingly, depletion of Sin3B led to compensatory increases in Sin3A recruitment at certain target loci, but Sin3B was never found to compensate for Sin3A loss. Thus, our analyses describe a novel transcriptional role for Sin3A and Sin3B proteins associated with maintenance of differentiated muscle cells."}
{"STANDARD_NAME":"BOSCO_TH1_CYTOTOXIC_MODULE","SYSTEMATIC_NAME":"M2527","ORGANISM":"Homo sapiens","PMID":"20336062","AUTHORS":"Bosco A,Ehteshami S,Stern DA,Martinez FD","GEOID":"GSE19903","EXACT_SOURCE":"Table 2S","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Antony Bosco","CONTRIBUTOR_ORG":"Telethon Kids Institute","DESCRIPTION_BRIEF":"Genes representing Th1 / cytotoxic module in sputum during asthma exacerbations.","DESCRIPTION_FULL":"Asthma exacerbations are associated with subsequent deficits in lung function. Here, we tested the hypothesis that a specific pattern of inflammatory responses during acute exacerbations may be associated with chronic airway obstruction. Gene coexpression networks were characterized in induced sputum obtained during an acute exacerbation, from asthmatic children with or without chronic airflow limitation. The data showed that activation of Th1-like/cytotoxic and interferon signaling pathways during acute exacerbations was decreased in asthmatic children with deficits in baseline lung function. These associations were independent of the identification of picornaviruses in nasal secretions or the use of medications at the time of the exacerbation. Th2-related pathways were also detected in the responses, but variations in these pathways were not related to chronic airways obstruction. Our findings show that decreased activation of Th1-like/cytotoxic and interferon pathways is a hallmark of acute exacerbation responses in asthmatic children with evidence of chronic airways obstruction."}
{"STANDARD_NAME":"BOSCO_EPITHELIAL_DIFFERENTIATION_MODULE","SYSTEMATIC_NAME":"M2533","ORGANISM":"Homo sapiens","PMID":"20336062","AUTHORS":"Bosco A,Ehteshami S,Stern DA,Martinez FD","GEOID":"GSE19903","EXACT_SOURCE":"Table 4S","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Antony Bosco","CONTRIBUTOR_ORG":"Telethon Kids Institute","DESCRIPTION_BRIEF":"Genes representing epithelial differentiation module in sputum during asthma exacerbations.","DESCRIPTION_FULL":"Asthma exacerbations are associated with subsequent deficits in lung function. Here, we tested the hypothesis that a specific pattern of inflammatory responses during acute exacerbations may be associated with chronic airway obstruction. Gene coexpression networks were characterized in induced sputum obtained during an acute exacerbation, from asthmatic children with or without chronic airflow limitation. The data showed that activation of Th1-like/cytotoxic and interferon signaling pathways during acute exacerbations was decreased in asthmatic children with deficits in baseline lung function. These associations were independent of the identification of picornaviruses in nasal secretions or the use of medications at the time of the exacerbation. Th2-related pathways were also detected in the responses, but variations in these pathways were not related to chronic airways obstruction. Our findings show that decreased activation of Th1-like/cytotoxic and interferon pathways is a hallmark of acute exacerbation responses in asthmatic children with evidence of chronic airways obstruction."}
{"STANDARD_NAME":"KUMAR_PATHOGEN_LOAD_BY_MACROPHAGES","SYSTEMATIC_NAME":"M2538","ORGANISM":"Homo sapiens","PMID":"20211141","AUTHORS":"Kumar D,Nath L,Kamal MA,Varshney A,Jain A,Singh S,Rao KV","GEOID":"GSE19052","EXACT_SOURCE":"Table 1BS","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes indentified by RNAi screen as regulating infection of THP-1 cells (macrophage) with Mycobacterium tuberculosis.","DESCRIPTION_FULL":"We performed a genome-wide siRNA screen to identify host factors that regulated pathogen load in human macrophages infected with a virulent strain of Mycobacterium tuberculosis. Iterative rounds of confirmation, followed by validation, identified 275 such molecules that were all found to functionally associate with each other through a dense network of interactions. This network then yielded to a molecular description of the host cell functional modules that were both engaged and perturbed by the pathogen. Importantly, a subscreen against a panel of field isolates revealed that the molecular composition of the host interface varied with both genotype and the phenotypic properties of the pathogen. An analysis of these differences, however, permitted identification of those host factors that were invariantly involved, regardless of the diversification in adaptive mechanisms employed by the pathogen. Interestingly, these factors were found to predominantly function through the regulation of autophagy."}
{"STANDARD_NAME":"KUMAR_AUTOPHAGY_NETWORK","SYSTEMATIC_NAME":"M2539","ORGANISM":"Homo sapiens","PMID":"20211141","AUTHORS":"Kumar D,Nath L,Kamal MA,Varshney A,Jain A,Singh S,Rao KV","GEOID":"GSE19052","EXACT_SOURCE":"Table 9S","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes defining the Mycobacterium tuberculosis strain-independent regulatory axis of the host macrophage cells.","DESCRIPTION_FULL":"We performed a genome-wide siRNA screen to identify host factors that regulated pathogen load in human macrophages infected with a virulent strain of Mycobacterium tuberculosis. Iterative rounds of confirmation, followed by validation, identified 275 such molecules that were all found to functionally associate with each other through a dense network of interactions. This network then yielded to a molecular description of the host cell functional modules that were both engaged and perturbed by the pathogen. Importantly, a subscreen against a panel of field isolates revealed that the molecular composition of the host interface varied with both genotype and the phenotypic properties of the pathogen. An analysis of these differences, however, permitted identification of those host factors that were invariantly involved, regardless of the diversification in adaptive mechanisms employed by the pathogen. Interestingly, these factors were found to predominantly function through the regulation of autophagy."}
{"STANDARD_NAME":"GENTLES_LEUKEMIC_STEM_CELL_UP","SYSTEMATIC_NAME":"M2542","ORGANISM":"Homo sapiens","PMID":"21177505","AUTHORS":"Gentles AJ,Plevritis SK,Majeti R,Alizadeh AA","GEOID":"GSE24006","EXACT_SOURCE":"Table 2S: Mean FC > 0 (red)","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Andrew Gentles","CONTRIBUTOR_ORG":"Stanford University","DESCRIPTION_BRIEF":"Genes up-regulated in LSC (leukemic stem) cells compared to LPC (leukemia progenitor) cells from AML (acute myeloid leukemia) tumor samples.","DESCRIPTION_FULL":"In many cancers, specific subpopulations of cells appear to be uniquely capable of initiating and maintaining tumors. The strongest support for this cancer stem cell model comes from transplantation assays in immunodeficient mice, which indicate that human acute myeloid leukemia (AML) is driven by self-renewing leukemic stem cells (LSCs). This model has significant implications for the development of novel therapies, but its clinical relevance has yet to be determined."}
{"STANDARD_NAME":"GENTLES_LEUKEMIC_STEM_CELL_DN","SYSTEMATIC_NAME":"M2543","ORGANISM":"Homo sapiens","PMID":"21177505","AUTHORS":"Gentles AJ,Plevritis SK,Majeti R,Alizadeh AA","GEOID":"GSE24006","EXACT_SOURCE":"Table 2S: Mean FC < 0 (green)","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Andrew Gentles","CONTRIBUTOR_ORG":"Stanford University","DESCRIPTION_BRIEF":"Genes down-regulated in LSC (leukemic stem) cells compared to LPC (leukemia progenitor) cells from AML (acute myeloid leukemia) tumor samples.","DESCRIPTION_FULL":"In many cancers, specific subpopulations of cells appear to be uniquely capable of initiating and maintaining tumors. The strongest support for this cancer stem cell model comes from transplantation assays in immunodeficient mice, which indicate that human acute myeloid leukemia (AML) is driven by self-renewing leukemic stem cells (LSCs). This model has significant implications for the development of novel therapies, but its clinical relevance has yet to be determined."}
{"STANDARD_NAME":"ROESSLER_LIVER_CANCER_METASTASIS_UP","SYSTEMATIC_NAME":"M2544","ORGANISM":"Homo sapiens","PMID":"21159642","AUTHORS":"Roessler S,Jia HL,Budhu A,Forgues M,Ye QH,Lee JS,Thorgeirsson SS,Sun Z,Tang ZY,Qin LX,Wang XW","GEOID":"GSE14520","EXACT_SOURCE":"Table 1S: Fold (PN/PT) < 1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes up-regulated in liver samples containing tumor thrombi in the major branches of the portal vein at surgery (PT) compared to those from metastasis-free HCC patients (PN) at the time of surgery and at follow-up.","DESCRIPTION_FULL":"Metastasis-related recurrence often occurs in hepatocellular carcinoma (HCC) patients who receive curative therapies. At present, it is challenging to identify patients with high risk of recurrence, which would warrant additional therapies. In this study, we sought to analyze a recently developed metastasis-related gene signature for its utility in predicting HCC survival, using 2 independent cohorts consisting of a total of 386 patients who received radical resection. Cohort 1 contained 247 predominantly HBV-positive cases analyzed with an Affymetrix platform, whereas cohort 2 contained 139 cases with mixed etiology analyzed with the NCI Oligo Set microarray platform. We employed a survival risk prediction algorithm with training, test, and independent cross-validation strategies and found that the gene signature is predictive of overall and disease-free survival. Importantly, risk was significantly predicted independently of clinical characteristics and microarray platform. In addition, survival prediction was successful in patients with early disease, such as small (<5 cm in diameter) and solitary tumors, and the signature predicted particularly well for early recurrence risk (<2 years), especially when combined with serum alpha fetoprotein or tumor staging. In conclusion, we have shown in 2 independent cohorts with mixed etiologies and ethnicity that the metastasis gene signature is a useful tool to predict HCC outcome, suggesting the general utility of this classifier. We recommend the use of this classifier as a molecular diagnostic test to assess the risk that an HCC patient will develop tumor relapse within 2 years after surgical resection, particularly for those with early-stage tumors and solitary presentation."}
{"STANDARD_NAME":"ROESSLER_LIVER_CANCER_METASTASIS_DN","SYSTEMATIC_NAME":"M2545","ORGANISM":"Homo sapiens","PMID":"21159642","AUTHORS":"Roessler S,Jia HL,Budhu A,Forgues M,Ye QH,Lee JS,Thorgeirsson SS,Sun Z,Tang ZY,Qin LX,Wang XW","GEOID":"GSE14520","EXACT_SOURCE":"Table 1S: Fold (PN/PT) > 1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes down-regulated in liver samples containing tumor thrombi in the major branches of the portal vein at surgery (PT) compared to those from metastasis-free HCC patients (PN) at the time of surgery and at follow-up.","DESCRIPTION_FULL":"Metastasis-related recurrence often occurs in hepatocellular carcinoma (HCC) patients who receive curative therapies. At present, it is challenging to identify patients with high risk of recurrence, which would warrant additional therapies. In this study, we sought to analyze a recently developed metastasis-related gene signature for its utility in predicting HCC survival, using 2 independent cohorts consisting of a total of 386 patients who received radical resection. Cohort 1 contained 247 predominantly HBV-positive cases analyzed with an Affymetrix platform, whereas cohort 2 contained 139 cases with mixed etiology analyzed with the NCI Oligo Set microarray platform. We employed a survival risk prediction algorithm with training, test, and independent cross-validation strategies and found that the gene signature is predictive of overall and disease-free survival. Importantly, risk was significantly predicted independently of clinical characteristics and microarray platform. In addition, survival prediction was successful in patients with early disease, such as small (<5 cm in diameter) and solitary tumors, and the signature predicted particularly well for early recurrence risk (<2 years), especially when combined with serum alpha fetoprotein or tumor staging. In conclusion, we have shown in 2 independent cohorts with mixed etiologies and ethnicity that the metastasis gene signature is a useful tool to predict HCC outcome, suggesting the general utility of this classifier. We recommend the use of this classifier as a molecular diagnostic test to assess the risk that an HCC patient will develop tumor relapse within 2 years after surgical resection, particularly for those with early-stage tumors and solitary presentation."}
{"STANDARD_NAME":"HOLLEMAN_PREDNISOLONE_RESISTANCE_B_ALL_UP","SYSTEMATIC_NAME":"M2547","ORGANISM":"Homo sapiens","PMID":"15295046","AUTHORS":"Holleman A,Cheok MH,den Boer ML,Yang W,Veerman AJ,Kazemier KM,Pei D,Cheng C,Pui CH,Relling MV,Janka-Schaub GE,Pieters R,Evans WE","GEOID":"GSE635","EXACT_SOURCE":"Fig. 5S: R/S ratio > 1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes distinguishing prednisolone [PubChem=5755] resistant and sensitive B-lineage ALL; here - genes up-regulated in the drug resistant samples.","DESCRIPTION_FULL":"Childhood acute lymphoblastic leukemia (ALL) is curable with chemotherapy in approximately 80 percent of patients. However, the cause of treatment failure in the remaining 20 percent of patients is largely unknown."}
{"STANDARD_NAME":"HOLLEMAN_PREDNISOLONE_RESISTANCE_B_ALL_DN","SYSTEMATIC_NAME":"M2548","ORGANISM":"Homo sapiens","PMID":"15295046","AUTHORS":"Holleman A,Cheok MH,den Boer ML,Yang W,Veerman AJ,Kazemier KM,Pei D,Cheng C,Pui CH,Relling MV,Janka-Schaub GE,Pieters R,Evans WE","GEOID":"GSE635","EXACT_SOURCE":"Fig. 5S: R/S ratio < 1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes distinguishing prednisolone [PubChem=5755] resistant and sensitive B-lineage ALL; here - genes down-regulated in the drug resistant samples.","DESCRIPTION_FULL":"Childhood acute lymphoblastic leukemia (ALL) is curable with chemotherapy in approximately 80 percent of patients. However, the cause of treatment failure in the remaining 20 percent of patients is largely unknown."}
{"STANDARD_NAME":"HOLLEMAN_VINCRISTINE_RESISTANCE_B_ALL_UP","SYSTEMATIC_NAME":"M2550","ORGANISM":"Homo sapiens","PMID":"15295046","AUTHORS":"Holleman A,Cheok MH,den Boer ML,Yang W,Veerman AJ,Kazemier KM,Pei D,Cheng C,Pui CH,Relling MV,Janka-Schaub GE,Pieters R,Evans WE","GEOID":"GSE635","EXACT_SOURCE":"Fig. 6S: R/S ratio > 1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes distinguishing vincristine [PubChem=5978] resistant and sensitive B-lineage ALL; here - genes up-regulated in the drug resistant samples.","DESCRIPTION_FULL":"Childhood acute lymphoblastic leukemia (ALL) is curable with chemotherapy in approximately 80 percent of patients. However, the cause of treatment failure in the remaining 20 percent of patients is largely unknown."}
{"STANDARD_NAME":"HOLLEMAN_VINCRISTINE_RESISTANCE_B_ALL_DN","SYSTEMATIC_NAME":"M2552","ORGANISM":"Homo sapiens","PMID":"15295046","AUTHORS":"Holleman A,Cheok MH,den Boer ML,Yang W,Veerman AJ,Kazemier KM,Pei D,Cheng C,Pui CH,Relling MV,Janka-Schaub GE,Pieters R,Evans WE","GEOID":"GSE635","EXACT_SOURCE":"Fig. 6S: R/S ratio < 1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes distinguishing vincristine [PubChem=5978] resistant and sensitive B-lineage ALL; here - genes down-regulated in the drug resistant samples.","DESCRIPTION_FULL":"Childhood acute lymphoblastic leukemia (ALL) is curable with chemotherapy in approximately 80 percent of patients. However, the cause of treatment failure in the remaining 20 percent of patients is largely unknown."}
{"STANDARD_NAME":"HOLLEMAN_ASPARAGINASE_RESISTANCE_B_ALL_DN","SYSTEMATIC_NAME":"M2554","ORGANISM":"Homo sapiens","PMID":"15295046","AUTHORS":"Holleman A,Cheok MH,den Boer ML,Yang W,Veerman AJ,Kazemier KM,Pei D,Cheng C,Pui CH,Relling MV,Janka-Schaub GE,Pieters R,Evans WE","GEOID":"GSE635","EXACT_SOURCE":"Fig. 7S: R/S ratio < 1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes distinguishing asparaginase resistant and sensitive B-lineage ALL; here - genes down-regulated in the drug resistant samples.","DESCRIPTION_FULL":"Childhood acute lymphoblastic leukemia (ALL) is curable with chemotherapy in approximately 80 percent of patients. However, the cause of treatment failure in the remaining 20 percent of patients is largely unknown."}
{"STANDARD_NAME":"HOLLEMAN_DAUNORUBICIN_B_ALL_UP","SYSTEMATIC_NAME":"M2556","ORGANISM":"Homo sapiens","PMID":"15295046","AUTHORS":"Holleman A,Cheok MH,den Boer ML,Yang W,Veerman AJ,Kazemier KM,Pei D,Cheng C,Pui CH,Relling MV,Janka-Schaub GE,Pieters R,Evans WE","GEOID":"GSE635","EXACT_SOURCE":"Fig. 8S: R/S ratio > 1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes distinguishing daunorubicin [PubChem=30323] resistant and sensitive B-lineage ALL; here - genes up-regulated in the drug resistant samples.","DESCRIPTION_FULL":"Childhood acute lymphoblastic leukemia (ALL) is curable with chemotherapy in approximately 80 percent of patients. However, the cause of treatment failure in the remaining 20 percent of patients is largely unknown."}
{"STANDARD_NAME":"HOLLEMAN_DAUNORUBICIN_B_ALL_DN","SYSTEMATIC_NAME":"M2557","ORGANISM":"Homo sapiens","PMID":"15295046","AUTHORS":"Holleman A,Cheok MH,den Boer ML,Yang W,Veerman AJ,Kazemier KM,Pei D,Cheng C,Pui CH,Relling MV,Janka-Schaub GE,Pieters R,Evans WE","GEOID":"GSE635","EXACT_SOURCE":"Fig. 8S: R/S ratio < 1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes distinguishing daunorubicin [PubChem=30323] resistant and sensitive B-lineage ALL; here - genes down-regulated in the drug resistant samples.","DESCRIPTION_FULL":"Childhood acute lymphoblastic leukemia (ALL) is curable with chemotherapy in approximately 80 percent of patients. However, the cause of treatment failure in the remaining 20 percent of patients is largely unknown."}
{"STANDARD_NAME":"HOLLEMAN_PREDNISOLONE_RESISTANCE_ALL_UP","SYSTEMATIC_NAME":"M2558","ORGANISM":"Homo sapiens","PMID":"15295046","AUTHORS":"Holleman A,Cheok MH,den Boer ML,Yang W,Veerman AJ,Kazemier KM,Pei D,Cheng C,Pui CH,Relling MV,Janka-Schaub GE,Pieters R,Evans WE","GEOID":"GSE635","EXACT_SOURCE":"Fig. 9S: R/S ratio > 1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes distinguishing prednisolone [PubChem=5755] resistant and sensitive ALL (B- and T-lineage ALL); here - genes up-regulated in the drug resistant samples.","DESCRIPTION_FULL":"Childhood acute lymphoblastic leukemia (ALL) is curable with chemotherapy in approximately 80 percent of patients. However, the cause of treatment failure in the remaining 20 percent of patients is largely unknown."}
{"STANDARD_NAME":"HOLLEMAN_PREDNISOLONE_RESISTANCE_ALL_DN","SYSTEMATIC_NAME":"M2560","ORGANISM":"Homo sapiens","PMID":"15295046","AUTHORS":"Holleman A,Cheok MH,den Boer ML,Yang W,Veerman AJ,Kazemier KM,Pei D,Cheng C,Pui CH,Relling MV,Janka-Schaub GE,Pieters R,Evans WE","GEOID":"GSE635","EXACT_SOURCE":"Fig. 9S: R/S ratio < 1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes distinguishing prednisolone [PubChem=5755] resistant and sensitive ALL (B- and T-lineage ALL); here - genes down-regulated in the drug resistant samples.","DESCRIPTION_FULL":"Childhood acute lymphoblastic leukemia (ALL) is curable with chemotherapy in approximately 80 percent of patients. However, the cause of treatment failure in the remaining 20 percent of patients is largely unknown."}
{"STANDARD_NAME":"HOLLEMAN_VINCRISTINE_RESISTANCE_ALL_UP","SYSTEMATIC_NAME":"M2561","ORGANISM":"Homo sapiens","PMID":"15295046","AUTHORS":"Holleman A,Cheok MH,den Boer ML,Yang W,Veerman AJ,Kazemier KM,Pei D,Cheng C,Pui CH,Relling MV,Janka-Schaub GE,Pieters R,Evans WE","GEOID":"GSE635","EXACT_SOURCE":"Fig. 10S: R/S ratio > 1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes distinguishing vincristine [PubChem=5978] resistant and sensitive ALL (B- and T-lineage ALL); here - genes up-regulated in the drug resistant samples.","DESCRIPTION_FULL":"Childhood acute lymphoblastic leukemia (ALL) is curable with chemotherapy in approximately 80 percent of patients. However, the cause of treatment failure in the remaining 20 percent of patients is largely unknown."}
{"STANDARD_NAME":"HOLLEMAN_VINCRISTINE_RESISTANCE_ALL_DN","SYSTEMATIC_NAME":"M2562","ORGANISM":"Homo sapiens","PMID":"15295046","AUTHORS":"Holleman A,Cheok MH,den Boer ML,Yang W,Veerman AJ,Kazemier KM,Pei D,Cheng C,Pui CH,Relling MV,Janka-Schaub GE,Pieters R,Evans WE","GEOID":"GSE635","EXACT_SOURCE":"Fig. 10S: R/S ratio < 1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes distinguishing vincristine [PubChem=5978] resistant and sensitive ALL (B- and T-lineage ALL); here - genes down-regulated in the drug resistant samples.","DESCRIPTION_FULL":"Childhood acute lymphoblastic leukemia (ALL) is curable with chemotherapy in approximately 80 percent of patients. However, the cause of treatment failure in the remaining 20 percent of patients is largely unknown."}
{"STANDARD_NAME":"HOLLEMAN_DAUNORUBICIN_ALL_UP","SYSTEMATIC_NAME":"M2563","ORGANISM":"Homo sapiens","PMID":"15295046","AUTHORS":"Holleman A,Cheok MH,den Boer ML,Yang W,Veerman AJ,Kazemier KM,Pei D,Cheng C,Pui CH,Relling MV,Janka-Schaub GE,Pieters R,Evans WE","GEOID":"GSE635","EXACT_SOURCE":"Fig. 12S: R/S > 1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes distinguishing daunorubicin [PubChem=30323] resistant and sensitive ALL (B- and T-lineage ALL); here - genes up-regulated in the drug resistant samples.","DESCRIPTION_FULL":"Childhood acute lymphoblastic leukemia (ALL) is curable with chemotherapy in approximately 80 percent of patients. However, the cause of treatment failure in the remaining 20 percent of patients is largely unknown."}
{"STANDARD_NAME":"HOLLEMAN_DAUNORUBICIN_ALL_DN","SYSTEMATIC_NAME":"M2564","ORGANISM":"Homo sapiens","PMID":"15295046","AUTHORS":"Holleman A,Cheok MH,den Boer ML,Yang W,Veerman AJ,Kazemier KM,Pei D,Cheng C,Pui CH,Relling MV,Janka-Schaub GE,Pieters R,Evans WE","GEOID":"GSE635","EXACT_SOURCE":"Fig. 12S: R/S < 1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes distinguishing daunorubicin [PubChem=30323] resistant and sensitive ALL (B- and T-lineage ALL); here - genes down-regulated in the drug resistant samples.","DESCRIPTION_FULL":"Childhood acute lymphoblastic leukemia (ALL) is curable with chemotherapy in approximately 80 percent of patients. However, the cause of treatment failure in the remaining 20 percent of patients is largely unknown."}
{"STANDARD_NAME":"HOLLEMAN_ASPARAGINASE_RESISTANCE_ALL_DN","SYSTEMATIC_NAME":"M2566","ORGANISM":"Homo sapiens","PMID":"15295046","AUTHORS":"Holleman A,Cheok MH,den Boer ML,Yang W,Veerman AJ,Kazemier KM,Pei D,Cheng C,Pui CH,Relling MV,Janka-Schaub GE,Pieters R,Evans WE","GEOID":"GSE635","EXACT_SOURCE":"Fig. 11S: R/S < 1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes distinguishing asparaginase resistant and sensitive ALL (B- and T-lineage ALL); here - genes down-regulated in the drug resistant samples.","DESCRIPTION_FULL":"Childhood acute lymphoblastic leukemia (ALL) is curable with chemotherapy in approximately 80 percent of patients. However, the cause of treatment failure in the remaining 20 percent of patients is largely unknown."}
{"STANDARD_NAME":"LIM_MAMMARY_LUMINAL_PROGENITOR_UP","SYSTEMATIC_NAME":"M2575","ORGANISM":"Mus musculus","PMID":"20346151","AUTHORS":"Lim E,Wu D,Pal B,Bouras T,Asselin-Labat ML,Vaillant F,Yagita H,Lindeman GJ,Smyth GK,Visvader JE","GEOID":"GSE19446","EXACT_SOURCE":"Table 2S: Up-regulated in luminal progenitor (LP) cells","CHIP":"Mouse_ILLUMINA_Array","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Daniel Hollern","CONTRIBUTOR_ORG":"Michigan State University","DESCRIPTION_BRIEF":"Genes consistently up-regulated in mammary luminal progenitor cells both in mouse and human species.","DESCRIPTION_FULL":"INTRODUCTION: Molecular characterization of the normal epithelial cell types that reside in the mammary gland is an important step toward understanding pathways that regulate self-renewal, lineage commitment, and differentiation along the hierarchy. Here we determined the gene expression signatures of four distinct subpopulations isolated from the mouse mammary gland. The epithelial cell signatures were used to interrogate mouse models of mammary tumorigenesis and to compare with their normal human counterpart subsets to identify conserved genes and networks.METHODS: RNA was prepared from freshly sorted mouse mammary cell subpopulations (mammary stem cell (MaSC)-enriched, committed luminal progenitor, mature luminal and stromal cell) and used for gene expression profiling analysis on the Illumina platform. Gene signatures were derived and compared with those previously reported for the analogous normal human mammary cell subpopulations. The mouse and human epithelial subset signatures were then subjected to Ingenuity Pathway Analysis (IPA) to identify conserved pathways.RESULTS: The four mouse mammary cell subpopulations exhibited distinct gene signatures. Comparison of these signatures with the molecular profiles of different mouse models of mammary tumorigenesis revealed that tumors arising in MMTV-Wnt-1 and p53-/- mice were enriched for MaSC-subset genes, whereas the gene profiles of MMTV-Neu and MMTV-PyMT tumors were most concordant with the luminal progenitor cell signature. Comparison of the mouse mammary epithelial cell signatures with their human counterparts revealed substantial conservation of genes, whereas IPA highlighted a number of conserved pathways in the three epithelial subsets.CONCLUSIONS: The conservation of genes and pathways across species further validates the use of the mouse as a model to study mammary gland development and highlights pathways that are likely to govern cell-fate decisions and differentiation. It is noteworthy that many of the conserved genes in the MaSC population have been considered as epithelial-mesenchymal transition (EMT) signature genes. Therefore, the expression of these genes in tumor cells may reflect basal epithelial cell characteristics and not necessarily cells that have undergone an EMT. Comparative analyses of normal mouse epithelial subsets with murine tumor models have implicated distinct cell types in contributing to tumorigenesis in the different models."}
{"STANDARD_NAME":"LIM_MAMMARY_LUMINAL_PROGENITOR_DN","SYSTEMATIC_NAME":"M2576","ORGANISM":"Mus musculus","PMID":"20346151","AUTHORS":"Lim E,Wu D,Pal B,Bouras T,Asselin-Labat ML,Vaillant F,Yagita H,Lindeman GJ,Smyth GK,Visvader JE","GEOID":"GSE19446","EXACT_SOURCE":"Table 2S: Down-regulated in luminal progenitor (LP) cells","CHIP":"Mouse_ILLUMINA_Array","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Daniel Hollern","CONTRIBUTOR_ORG":"Michigan State University","DESCRIPTION_BRIEF":"Genes consistently down-regulated in mammary luminal progenitor cells both in mouse and human species.","DESCRIPTION_FULL":"INTRODUCTION: Molecular characterization of the normal epithelial cell types that reside in the mammary gland is an important step toward understanding pathways that regulate self-renewal, lineage commitment, and differentiation along the hierarchy. Here we determined the gene expression signatures of four distinct subpopulations isolated from the mouse mammary gland. The epithelial cell signatures were used to interrogate mouse models of mammary tumorigenesis and to compare with their normal human counterpart subsets to identify conserved genes and networks.METHODS: RNA was prepared from freshly sorted mouse mammary cell subpopulations (mammary stem cell (MaSC)-enriched, committed luminal progenitor, mature luminal and stromal cell) and used for gene expression profiling analysis on the Illumina platform. Gene signatures were derived and compared with those previously reported for the analogous normal human mammary cell subpopulations. The mouse and human epithelial subset signatures were then subjected to Ingenuity Pathway Analysis (IPA) to identify conserved pathways.RESULTS: The four mouse mammary cell subpopulations exhibited distinct gene signatures. Comparison of these signatures with the molecular profiles of different mouse models of mammary tumorigenesis revealed that tumors arising in MMTV-Wnt-1 and p53-/- mice were enriched for MaSC-subset genes, whereas the gene profiles of MMTV-Neu and MMTV-PyMT tumors were most concordant with the luminal progenitor cell signature. Comparison of the mouse mammary epithelial cell signatures with their human counterparts revealed substantial conservation of genes, whereas IPA highlighted a number of conserved pathways in the three epithelial subsets.CONCLUSIONS: The conservation of genes and pathways across species further validates the use of the mouse as a model to study mammary gland development and highlights pathways that are likely to govern cell-fate decisions and differentiation. It is noteworthy that many of the conserved genes in the MaSC population have been considered as epithelial-mesenchymal transition (EMT) signature genes. Therefore, the expression of these genes in tumor cells may reflect basal epithelial cell characteristics and not necessarily cells that have undergone an EMT. Comparative analyses of normal mouse epithelial subsets with murine tumor models have implicated distinct cell types in contributing to tumorigenesis in the different models."}
{"STANDARD_NAME":"DURAND_STROMA_NS_UP","SYSTEMATIC_NAME":"M2582","ORGANISM":"Mus musculus","EXACT_SOURCE":"personal communication","CHIP":"Mouse_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Charles Durand","CONTRIBUTOR_ORG":"Pierre and Marie Curie University","DESCRIPTION_BRIEF":"Genes up-regulated in the HSC non-supportive stromal cell lines.","DESCRIPTION_FULL":"Stromal cell lines represent an exceptional tool to study the role on the microenvironment on hematopoietic stem cell (HSC) activity. We have compared the expression profile of HSC supportive vs non-supportive stromal lines generated from different hematopoietic tissues in the mouse, i.e the aorta-gonad-mesonephros (AGM) region, the fetal liver and the adult bone marrow, sequentially activated during development. In this study, six stromal lines were used with one HSC supportive and one non-supportive for each tissue (triplicate samples for each stromal line). We used Mouse Gene 1.0 ST microrrays in combination with GSEA and statistical analysis to identify lists of genes that segregate HSC supportive from non-supportive stromal lines."}
{"STANDARD_NAME":"GHANDHI_DIRECT_IRRADIATION_DN","SYSTEMATIC_NAME":"M2594","ORGANISM":"Homo sapiens","PMID":"19108712","AUTHORS":"Ghandhi SA,Yaghoubian B,Amundson SA","GEOID":"GSE12435","EXACT_SOURCE":"Table 1S: FDR < 0.1 & mean < 1","CHIP":"Human_AGILENT_Array","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Itai Pashtan","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes significantly (FDR < 10%) down-regulated in IMR-90 cells (fibroblast) in response to direct irradiation.","DESCRIPTION_FULL":"Background: The existence of a radiation bystander effect, in which non-irradiated cells respond to signals from irradiated cells, is now well established. It raises concerns for the interpretation of risks arising from exposure to low doses of ionizing radiation. However, the regulatory mechanisms involved in the bystander response have not been well elucidated. To provide insight into the signaling pathways responding in bystanders, we have measured global gene expression four hours after bystander and direct alpha particle exposure of primary human lung fibroblasts. Results: Although common p53-regulated radiation response genes like CDKN1A were expressed at elevated levels in the directly exposed cultures, they showed little or no change in the bystanders. In contrast, genes regulated by NF_B, such as PTGS2 (cyclooxygenase-2), IL8 and BCL2A1, responded nearly identically in bystander and irradiated cells. This trend was substantiated by gene ontology and pathway analyses of the microarray data, which suggest that bystander cells mount a full NF_B response, but a muted or partial p53 response. In time-course analyses, quantitative real-time PCR measurements of CDKN1A showed the expected 4-hour peak of expression in irradiated but not bystander cells. In contrast, PTGS2, IL8 and BCL2A1 responded with two waves of expression in both bystander and directly irradiated cells, one peaking at half an hour and the other between four and six hours after irradiation. Conclusion: Two major transcriptional hubs that regulate the direct response to ionizing radiation are also implicated in regulation of the bystander response, but to dramatically different degrees. While activation of the p53 response pathway is minimal in bystander cells, the NF_B response is virtually identical in irradiated and bystander cells. This alteration in the balance of signaling is likely to lead to different outcomes in irradiated cells and their bystanders, perhaps leading to greater survival of bystanders and increased risk from any long-term damage they have sustained."}
{"STANDARD_NAME":"GHANDHI_BYSTANDER_IRRADIATION_DN","SYSTEMATIC_NAME":"M2599","ORGANISM":"Homo sapiens","PMID":"19108712","AUTHORS":"Ghandhi SA,Yaghoubian B,Amundson SA","GEOID":"GSE12435","EXACT_SOURCE":"Table 2S: FDR < 0.1","CHIP":"Human_AGILENT_Array","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Itai Pashtan","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes significantly (FDR < 10%) down-regulated in IMR-90 cells (fibroblast) in response to bystander irradiation.","DESCRIPTION_FULL":"Background: The existence of a radiation bystander effect, in which non-irradiated cells respond to signals from irradiated cells, is now well established. It raises concerns for the interpretation of risks arising from exposure to low doses of ionizing radiation. However, the regulatory mechanisms involved in the bystander response have not been well elucidated. To provide insight into the signaling pathways responding in bystanders, we have measured global gene expression four hours after bystander and direct alpha particle exposure of primary human lung fibroblasts. Results: Although common p53-regulated radiation response genes like CDKN1A were expressed at elevated levels in the directly exposed cultures, they showed little or no change in the bystanders. In contrast, genes regulated by NF_B, such as PTGS2 (cyclooxygenase-2), IL8 and BCL2A1, responded nearly identically in bystander and irradiated cells. This trend was substantiated by gene ontology and pathway analyses of the microarray data, which suggest that bystander cells mount a full NF_B response, but a muted or partial p53 response. In time-course analyses, quantitative real-time PCR measurements of CDKN1A showed the expected 4-hour peak of expression in irradiated but not bystander cells. In contrast, PTGS2, IL8 and BCL2A1 responded with two waves of expression in both bystander and directly irradiated cells, one peaking at half an hour and the other between four and six hours after irradiation. Conclusion: Two major transcriptional hubs that regulate the direct response to ionizing radiation are also implicated in regulation of the bystander response, but to dramatically different degrees. While activation of the p53 response pathway is minimal in bystander cells, the NF_B response is virtually identical in irradiated and bystander cells. This alteration in the balance of signaling is likely to lead to different outcomes in irradiated cells and their bystanders, perhaps leading to greater survival of bystanders and increased risk from any long-term damage they have sustained."}
{"STANDARD_NAME":"ZWANG_DOWN_BY_2ND_EGF_PULSE","SYSTEMATIC_NAME":"M2615","ORGANISM":"Homo sapiens","PMID":"21596316","AUTHORS":"Zwang Y,Sas-Chen A,Drier Y,Shay T,Avraham R,Lauriola M,Shema E,Lidor-Nili E,Jacob-Hirsch J,Amariglio N,Lu Y,Mills GB,Rechavi G,Oren M,Domany E,Yarden Y","GEOID":"GSE27629","EXACT_SOURCE":"Table 2S: Down-regulated by 2nd pulse","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yaara Zwang","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes down-regulated by second pulse of EGF [GeneID =1950] in 184A1 cells (mammary epithelium).","DESCRIPTION_FULL":"Normal cells require continuous exposure to growth factors in order to cross a restriction point and commit to cell-cycle progression. This can be replaced by two short, appropriately spaced pulses of growth factors, where the first pulse primes a process, which is completed by the second pulse, and enables restriction point crossing. Through integration of comprehensive proteomic and transcriptomic analyses of each pulse, we identified three processes that regulate restriction point crossing: (1) The first pulse induces essential metabolic enzymes and activates p53-dependent restraining processes. (2) The second pulse eliminates, via the PI3K/AKT pathway, the suppressive action of p53, as well as (3) sets an ERK-EGR1 threshold mechanism, which digitizes graded external signals into an all-or-none decision obligatory for S phase entry. Together, our findings uncover two gating mechanisms, which ensure that cells ignore fortuitous growth factors and undergo proliferation only in response to consistent mitogenic signals."}
{"STANDARD_NAME":"ZWANG_TRANSIENTLY_UP_BY_2ND_EGF_PULSE_ONLY","SYSTEMATIC_NAME":"M2616","ORGANISM":"Homo sapiens","PMID":"21596316","AUTHORS":"Zwang Y,Sas-Chen A,Drier Y,Shay T,Avraham R,Lauriola M,Shema E,Lidor-Nili E,Jacob-Hirsch J,Amariglio N,Lu Y,Mills GB,Rechavi G,Oren M,Domany E,Yarden Y","GEOID":"GSE27629","EXACT_SOURCE":"Table 2S: Transiently induced, 2nd pulse only","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yaara Zwang","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes transiently induced only by the second pulse of EGF [GeneID =1950] in 184A1 cells (mammary epithelium).","DESCRIPTION_FULL":"Normal cells require continuous exposure to growth factors in order to cross a restriction point and commit to cell-cycle progression. This can be replaced by two short, appropriately spaced pulses of growth factors, where the first pulse primes a process, which is completed by the second pulse, and enables restriction point crossing. Through integration of comprehensive proteomic and transcriptomic analyses of each pulse, we identified three processes that regulate restriction point crossing: (1) The first pulse induces essential metabolic enzymes and activates p53-dependent restraining processes. (2) The second pulse eliminates, via the PI3K/AKT pathway, the suppressive action of p53, as well as (3) sets an ERK-EGR1 threshold mechanism, which digitizes graded external signals into an all-or-none decision obligatory for S phase entry. Together, our findings uncover two gating mechanisms, which ensure that cells ignore fortuitous growth factors and undergo proliferation only in response to consistent mitogenic signals."}
{"STANDARD_NAME":"ZWANG_EGF_INTERVAL_UP","SYSTEMATIC_NAME":"M2619","ORGANISM":"Homo sapiens","PMID":"21596316","AUTHORS":"Zwang Y,Sas-Chen A,Drier Y,Shay T,Avraham R,Lauriola M,Shema E,Lidor-Nili E,Jacob-Hirsch J,Amariglio N,Lu Y,Mills GB,Rechavi G,Oren M,Domany E,Yarden Y","GEOID":"GSE27629","EXACT_SOURCE":"Table 2S: Interval induced","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yaara Zwang","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes induced in the time interval between two pulses of EGF [GeneID =1950] in 184A1 cells (mammary epithelium).","DESCRIPTION_FULL":"Normal cells require continuous exposure to growth factors in order to cross a restriction point and commit to cell-cycle progression. This can be replaced by two short, appropriately spaced pulses of growth factors, where the first pulse primes a process, which is completed by the second pulse, and enables restriction point crossing. Through integration of comprehensive proteomic and transcriptomic analyses of each pulse, we identified three processes that regulate restriction point crossing: (1) The first pulse induces essential metabolic enzymes and activates p53-dependent restraining processes. (2) The second pulse eliminates, via the PI3K/AKT pathway, the suppressive action of p53, as well as (3) sets an ERK-EGR1 threshold mechanism, which digitizes graded external signals into an all-or-none decision obligatory for S phase entry. Together, our findings uncover two gating mechanisms, which ensure that cells ignore fortuitous growth factors and undergo proliferation only in response to consistent mitogenic signals."}
{"STANDARD_NAME":"ZWANG_EGF_PERSISTENTLY_DN","SYSTEMATIC_NAME":"M2621","ORGANISM":"Homo sapiens","PMID":"21596316","AUTHORS":"Zwang Y,Sas-Chen A,Drier Y,Shay T,Avraham R,Lauriola M,Shema E,Lidor-Nili E,Jacob-Hirsch J,Amariglio N,Lu Y,Mills GB,Rechavi G,Oren M,Domany E,Yarden Y","GEOID":"GSE27629","EXACT_SOURCE":"Table 2S: Persistently repressed","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yaara Zwang","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes persistently repressed by EGF [GeneID =1950] in 184A1 cells (mammary epithelium).","DESCRIPTION_FULL":"Normal cells require continuous exposure to growth factors in order to cross a restriction point and commit to cell-cycle progression. This can be replaced by two short, appropriately spaced pulses of growth factors, where the first pulse primes a process, which is completed by the second pulse, and enables restriction point crossing. Through integration of comprehensive proteomic and transcriptomic analyses of each pulse, we identified three processes that regulate restriction point crossing: (1) The first pulse induces essential metabolic enzymes and activates p53-dependent restraining processes. (2) The second pulse eliminates, via the PI3K/AKT pathway, the suppressive action of p53, as well as (3) sets an ERK-EGR1 threshold mechanism, which digitizes graded external signals into an all-or-none decision obligatory for S phase entry. Together, our findings uncover two gating mechanisms, which ensure that cells ignore fortuitous growth factors and undergo proliferation only in response to consistent mitogenic signals."}
{"STANDARD_NAME":"FARMER_BREAST_CANCER_CLUSTER_6","SYSTEMATIC_NAME":"M19779","ORGANISM":"Homo sapiens","PMID":"15897907","AUTHORS":"Farmer P,Bonnefoi H,Becette V,Tubiana-Hulin M,Fumoleau P,Larsimont D,Macgrogan G,Bergh J,Cameron D,Goldstein D,Duss S,Nicoulaz AL,Brisken C,Fiche M,Delorenzi M,Iggo R","GEOID":"GSE1561","EXACT_SOURCE":"Figure 5S: cluster 6","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster 6: selected luminal genes clustered together across breast cancer samples.","DESCRIPTION_FULL":"Previous microarray studies on breast cancer identified multiple tumour classes, of which the most prominent, named luminal and basal, differ in expression of the oestrogen receptor alpha gene (ER). We report here the identification of a group of breast tumours with increased androgen signalling and a 'molecular apocrine' gene expression profile. Tumour samples from 49 patients with large operable or locally advanced breast cancers were tested on Affymetrix U133A gene expression microarrays. Principal components analysis and hierarchical clustering split the tumours into three groups: basal, luminal and a group we call molecular apocrine. All of the molecular apocrine tumours have strong apocrine features on histological examination (P=0.0002). The molecular apocrine group is androgen receptor (AR) positive and contains all of the ER-negative tumours outside the basal group. Kolmogorov-Smirnov testing indicates that oestrogen signalling is most active in the luminal group, and androgen signalling is most active in the molecular apocrine group. ERBB2 amplification is commoner in the molecular apocrine than the other groups. Genes that best split the three groups were identified by Wilcoxon test. Correlation of the average expression profile of these genes in our data with the expression profile of individual tumours in four published breast cancer studies suggest that molecular apocrine tumours represent 8-14% of tumours in these studies. Our data show that it is possible with microarray data to divide mammary tumour cells into three groups based on steroid receptor activity: luminal (ER+ AR+), basal (ER- AR-) and molecular apocrine (ER- AR+)."}
{"STANDARD_NAME":"FARMER_BREAST_CANCER_CLUSTER_4","SYSTEMATIC_NAME":"M15125","ORGANISM":"Homo sapiens","PMID":"15897907","AUTHORS":"Farmer P,Bonnefoi H,Becette V,Tubiana-Hulin M,Fumoleau P,Larsimont D,Macgrogan G,Bergh J,Cameron D,Goldstein D,Duss S,Nicoulaz AL,Brisken C,Fiche M,Delorenzi M,Iggo R","GEOID":"GSE1561","EXACT_SOURCE":"Figure 5S: cluster 4","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster 4: selected stromal genes clustered together across breast cancer samples.","DESCRIPTION_FULL":"Previous microarray studies on breast cancer identified multiple tumour classes, of which the most prominent, named luminal and basal, differ in expression of the oestrogen receptor alpha gene (ER). We report here the identification of a group of breast tumours with increased androgen signalling and a 'molecular apocrine' gene expression profile. Tumour samples from 49 patients with large operable or locally advanced breast cancers were tested on Affymetrix U133A gene expression microarrays. Principal components analysis and hierarchical clustering split the tumours into three groups: basal, luminal and a group we call molecular apocrine. All of the molecular apocrine tumours have strong apocrine features on histological examination (P=0.0002). The molecular apocrine group is androgen receptor (AR) positive and contains all of the ER-negative tumours outside the basal group. Kolmogorov-Smirnov testing indicates that oestrogen signalling is most active in the luminal group, and androgen signalling is most active in the molecular apocrine group. ERBB2 amplification is commoner in the molecular apocrine than the other groups. Genes that best split the three groups were identified by Wilcoxon test. Correlation of the average expression profile of these genes in our data with the expression profile of individual tumours in four published breast cancer studies suggest that molecular apocrine tumours represent 8-14% of tumours in these studies. Our data show that it is possible with microarray data to divide mammary tumour cells into three groups based on steroid receptor activity: luminal (ER+ AR+), basal (ER- AR-) and molecular apocrine (ER- AR+)."}
{"STANDARD_NAME":"FARMER_BREAST_CANCER_CLUSTER_3","SYSTEMATIC_NAME":"M19675","ORGANISM":"Homo sapiens","PMID":"15897907","AUTHORS":"Farmer P,Bonnefoi H,Becette V,Tubiana-Hulin M,Fumoleau P,Larsimont D,Macgrogan G,Bergh J,Cameron D,Goldstein D,Duss S,Nicoulaz AL,Brisken C,Fiche M,Delorenzi M,Iggo R","GEOID":"GSE1561","EXACT_SOURCE":"Fig 5S: cluster 3","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Cluster 3: selected apocrine, basal and hypoxia genes clustered together across breast cancer samples.","DESCRIPTION_FULL":"Previous microarray studies on breast cancer identified multiple tumour classes, of which the most prominent, named luminal and basal, differ in expression of the oestrogen receptor alpha gene (ER). We report here the identification of a group of breast tumours with increased androgen signalling and a 'molecular apocrine' gene expression profile. Tumour samples from 49 patients with large operable or locally advanced breast cancers were tested on Affymetrix U133A gene expression microarrays. Principal components analysis and hierarchical clustering split the tumours into three groups: basal, luminal and a group we call molecular apocrine. All of the molecular apocrine tumours have strong apocrine features on histological examination (P=0.0002). The molecular apocrine group is androgen receptor (AR) positive and contains all of the ER-negative tumours outside the basal group. Kolmogorov-Smirnov testing indicates that oestrogen signalling is most active in the luminal group, and androgen signalling is most active in the molecular apocrine group. ERBB2 amplification is commoner in the molecular apocrine than the other groups. Genes that best split the three groups were identified by Wilcoxon test. Correlation of the average expression profile of these genes in our data with the expression profile of individual tumours in four published breast cancer studies suggest that molecular apocrine tumours represent 8-14% of tumours in these studies. Our data show that it is possible with microarray data to divide mammary tumour cells into three groups based on steroid receptor activity: luminal (ER+ AR+), basal (ER- AR-) and molecular apocrine (ER- AR+)."}
{"STANDARD_NAME":"EPPERT_LSC_R","SYSTEMATIC_NAME":"M19230","ORGANISM":"Homo sapiens","PMID":"21873988","AUTHORS":"Eppert K,Takenaka K,Lechman ER,Waldron L,Nilsson B,Galen van P,Metzeler KH,Poeppl A,Ling V,Beyene J,Canty AJ,Danska JS,Bohlander SK,Buske C,Minden MD,Golub TR,Jurisica I,Ebert BL,Dick JE","GEOID":"GSE30377","EXACT_SOURCE":"Supplemental Table 7","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kolja Eppert","CONTRIBUTOR_ORG":"McGill University","DESCRIPTION_BRIEF":"Genes up-regulated in functionally defined leukemic stem cells (LSC) from acute myeloid leukemia (AML) patients.","DESCRIPTION_FULL":"Xenograft studies indicate that some solid tumors and leukemias are organized as cellular hierarchies sustained by cancer stem cells (CSCs). Despite the promise of the CSC model, its relevance in humans remains uncertain. Here we show that acute myeloid leukemia (AML) follows a CSC model on the basis of sorting multiple populations from each of 16 primary human AML samples and identifying which contain leukemia stem cells (LSCs) using a sensitive xenograft assay. Analysis of gene expression from all functionally validated populations yielded an LSC-specific signature. Similarly, a hematopoietic stem cell (HSC) gene signature was established. Bioinformatic analysis identified a core transcriptional program shared by LSCs and HSCs, revealing the molecular machinery underlying stemness properties. Both stem cell programs were highly significant independent predictors of patient survival and were found in existing prognostic signatures. Thus, determinants of stemness influence the clinical outcome of AML, establishing that LSCs are clinically relevant and not artifacts of xenotransplantation."}
{"STANDARD_NAME":"EPPERT_HSC_R","SYSTEMATIC_NAME":"M19231","ORGANISM":"Homo sapiens","PMID":"21873988","AUTHORS":"Eppert K,Takenaka K,Lechman ER,Waldron L,Nilsson B,Galen van P,Metzeler KH,Poeppl A,Ling V,Beyene J,Canty AJ,Danska JS,Bohlander SK,Buske C,Minden MD,Golub TR,Jurisica I,Ebert BL,Dick JE","GEOID":"GSE30377","EXACT_SOURCE":"Supplemental Table 8","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kolja Eppert","CONTRIBUTOR_ORG":"McGill University","DESCRIPTION_BRIEF":"Genes up-regulated in human hematopoietic stem cell (HSC) enriched populations compared to committed progenitors and mature cells.","DESCRIPTION_FULL":"Xenograft studies indicate that some solid tumors and leukemias are organized as cellular hierarchies sustained by cancer stem cells (CSCs). Despite the promise of the CSC model, its relevance in humans remains uncertain. Here we show that acute myeloid leukemia (AML) follows a CSC model on the basis of sorting multiple populations from each of 16 primary human AML samples and identifying which contain leukemia stem cells (LSCs) using a sensitive xenograft assay. Analysis of gene expression from all functionally validated populations yielded an LSC-specific signature. Similarly, a hematopoietic stem cell (HSC) gene signature was established. Bioinformatic analysis identified a core transcriptional program shared by LSCs and HSCs, revealing the molecular machinery underlying stemness properties. Both stem cell programs were highly significant independent predictors of patient survival and were found in existing prognostic signatures. Thus, determinants of stemness influence the clinical outcome of AML, establishing that LSCs are clinically relevant and not artifacts of xenotransplantation."}
{"STANDARD_NAME":"EPPERT_PROGENITOR","SYSTEMATIC_NAME":"M19232","ORGANISM":"Homo sapiens","PMID":"21873988","AUTHORS":"Eppert K,Takenaka K,Lechman ER,Waldron L,Nilsson B,Galen van P,Metzeler KH,Poeppl A,Ling V,Beyene J,Canty AJ,Danska JS,Bohlander SK,Buske C,Minden MD,Golub TR,Jurisica I,Ebert BL,Dick JE","GEOID":"GSE30377","EXACT_SOURCE":"Supplemental Table 11: FDR 0.05 Probe Set List","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kolja Eppert","CONTRIBUTOR_ORG":"McGill University","DESCRIPTION_BRIEF":"Genes up-regulated in human hematopoietic lineage committed progenitor cells versus hematopoietic stem cells (HSC) and mature cells.","DESCRIPTION_FULL":"Xenograft studies indicate that some solid tumors and leukemias are organized as cellular hierarchies sustained by cancer stem cells (CSCs). Despite the promise of the CSC model, its relevance in humans remains uncertain. Here we show that acute myeloid leukemia (AML) follows a CSC model on the basis of sorting multiple populations from each of 16 primary human AML samples and identifying which contain leukemia stem cells (LSCs) using a sensitive xenograft assay. Analysis of gene expression from all functionally validated populations yielded an LSC-specific signature. Similarly, a hematopoietic stem cell (HSC) gene signature was established. Bioinformatic analysis identified a core transcriptional program shared by LSCs and HSCs, revealing the molecular machinery underlying stemness properties. Both stem cell programs were highly significant independent predictors of patient survival and were found in existing prognostic signatures. Thus, determinants of stemness influence the clinical outcome of AML, establishing that LSCs are clinically relevant and not artifacts of xenotransplantation."}
{"STANDARD_NAME":"EPPERT_CE_HSC_LSC","SYSTEMATIC_NAME":"M19233","ORGANISM":"Homo sapiens","PMID":"21873988","AUTHORS":"Eppert K,Takenaka K,Lechman ER,Waldron L,Nilsson B,Galen van P,Metzeler KH,Poeppl A,Ling V,Beyene J,Canty AJ,Danska JS,Bohlander SK,Buske C,Minden MD,Golub TR,Jurisica I,Ebert BL,Dick JE","GEOID":"GSE30377","EXACT_SOURCE":"Fig 2D","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Kolja Eppert","CONTRIBUTOR_ORG":"McGill University","DESCRIPTION_BRIEF":"Shared human hematopoietic stem cell (HSC) and acute myeloid leukemia (AML) stem cell (LSC) genes: HSC genes that are highly expressed in LSC versus other leukemic cells.","DESCRIPTION_FULL":"Xenograft studies indicate that some solid tumors and leukemias are organized as cellular hierarchies sustained by cancer stem cells (CSCs). Despite the promise of the CSC model, its relevance in humans remains uncertain. Here we show that acute myeloid leukemia (AML) follows a CSC model on the basis of sorting multiple populations from each of 16 primary human AML samples and identifying which contain leukemia stem cells (LSCs) using a sensitive xenograft assay. Analysis of gene expression from all functionally validated populations yielded an LSC-specific signature. Similarly, a hematopoietic stem cell (HSC) gene signature was established. Bioinformatic analysis identified a core transcriptional program shared by LSCs and HSCs, revealing the molecular machinery underlying stemness properties. Both stem cell programs were highly significant independent predictors of patient survival and were found in existing prognostic signatures. Thus, determinants of stemness influence the clinical outcome of AML, establishing that LSCs are clinically relevant and not artifacts of xenotransplantation."}
{"STANDARD_NAME":"QUINTENS_EMBRYONIC_BRAIN_RESPONSE_TO_IR","SYSTEMATIC_NAME":"M39","ORGANISM":"Mus musculus","PMID":"25681390","AUTHORS":"Quintens R,Verreet T,Janssen A,Neefs M,Leysen L,Michaux A,Verslegers M,Samari N,Pani G,Verheyde J,Baatout S,Benotmane MA","GEOID":"E-MTAB-2632","EXACT_SOURCE":"Table S3. ","CHIP":"AFFY_MoGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Roel Quintens","CONTRIBUTOR_ORG":"Belgian Nuclear Research Centre","DESCRIPTION_BRIEF":"Genes up-regulated in the mouse embryonic brain or immature neurons at 2 h or 6 h, respectively after exposure to 1 Gy dose of ionizing radiation.","DESCRIPTION_FULL":"The mammalian brain is especially sensitive to ionizing radiation during development, as shown by the increased occurrence of mental retardation and small head size in children who were in utero exposed to ionizing radiation after the atomic bombings of Hiroshima and Nagasaki. These effects of prenatal irradiation can be mimicked by irradiation of mouse embryos during the organogenesis period. In order to better understand the early effects of ionizing radiation on the embryonic brain and immature neurons, we performed a microarray analysis on brains from mice irradiated with different doses at E11 and E14, as well as primary cortical neuron cultures at 14 h in vitro. RNA was extracted at either 2 h (brains) or 6 h (neurons) post-irradiation. This gene set includes genes that were differentially expressed in at least two different conditions, to generate a bona fide list of early radiation-responsive genes in the embryonic mouse brain."}
{"STANDARD_NAME":"MACAEVA_PBMC_RESPONSE_TO_IR","SYSTEMATIC_NAME":"M52","ORGANISM":"Homo sapiens","PMID":"26763932","AUTHORS":"Macaeva E,Saeys Y,Tabury K,Janssen A,Michaux A,Benotmane MA,Vos De WH,Baatout S,Quintens R","GEOID":"E-MTAB-3463","EXACT_SOURCE":"Table S1","CHIP":"AFFY_HuGene","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Roel Quintens","CONTRIBUTOR_ORG":"Belgian Nuclear Research Centre","DESCRIPTION_BRIEF":"Genes up-regulated in human peripheral blood mononuclear cells (PBMC) at 8 h after exposure to 0.1 and 1.0 Gy dose of ionizing radiation.","DESCRIPTION_FULL":"Peripheral blood mononuclear cells (PBMC) were isolated using Histopaque-1077 (Sigma-Aldrich) from 10 healthy donors (5 males, 5 females, aged 23-50). Isolated cells were resuspended at a density of 106 cells/ml and allowed to equilibrate to culture conditions at 37°C in a humidified 5% CO2 atmosphere. PBMCs were then exposed to 0 (sham), 0.1 or 1.0 Gy of X-rays (250 keV - 1 mA, 1 mm Cu) at a dose rate of 0.26 Gy/min. After irradiation, cells were incubated at 37°C in a humidified 5% CO2 atmosphere for 8 h before RNA extraction. Two weeks later, the experiment was repeated using fresh PBMCs from the same donors, resulting in a total of 60 RNA samples. Total RNA (250 ng) was used for hybridization to GeneChip Human Gene 1.0 ST arrays (Affymetrix). This gene set contains genes that were up-regulated after radiation exposure (3-way ANOVA, FDR <0.05)."}
{"STANDARD_NAME":"FISCHER_DIRECT_P53_TARGETS_META_ANALYSIS","SYSTEMATIC_NAME":"M61","ORGANISM":"Homo sapiens","PMID":"27280975","AUTHORS":"Fischer M,Grossmann P,Padi M,DeCaprio JA","EXACT_SOURCE":"Table S3","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Martin Fischer","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes directly bound and regulated by TP53[GeneID=7157].","DESCRIPTION_FULL":"Genes identified as transcriptionally activated by p53 in at least 5 out of 20 genome-wide p53 gene expression profiles and identified as bound by p53 within 2.5kb of the TSS in at least 4 out of 15 genome-wide p53 binding profiles."}
{"STANDARD_NAME":"FISCHER_G1_S_CELL_CYCLE","SYSTEMATIC_NAME":"M107","ORGANISM":"Homo sapiens","PMID":"27280975","AUTHORS":"Fischer M,Grossmann P,Padi M,DeCaprio JA","EXACT_SOURCE":"Table S6","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Martin Fischer","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Cell cycle genes with peak expression in G1/S check point.","DESCRIPTION_FULL":"Cell cycle genes with a CC Expression Score <= -2 (identified in at least 2 genome-wide cell cycle gene expression profiles with peak expression in G1/S)"}
{"STANDARD_NAME":"FISCHER_G2_M_CELL_CYCLE","SYSTEMATIC_NAME":"M130","ORGANISM":"Homo sapiens","PMID":"27280975","AUTHORS":"Fischer M,Grossmann P,Padi M,DeCaprio JA","EXACT_SOURCE":"Table S6","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Martin Fischer","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Cell cycle genes with peak expression in G2/M check point.","DESCRIPTION_FULL":"Cell cycle genes with a CC Expression Score >= 2 (identified in at least 2 genome-wide cell cycle gene expression profiles with peak expression in G2/M)"}
{"STANDARD_NAME":"FISCHER_DREAM_TARGETS","SYSTEMATIC_NAME":"M149","ORGANISM":"Homo sapiens","PMID":"27280975","AUTHORS":"Fischer M,Grossmann P,Padi M,DeCaprio JA","EXACT_SOURCE":"Table S7","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Martin Fischer","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Target genes of the DREAM complex.","DESCRIPTION_FULL":"Genes bound and regulated by the DREAM complex according to multiple genome-wide datasets"}
{"STANDARD_NAME":"GRYDER_PAX3FOXO1_ENHANCERS_IN_TADS","SYSTEMATIC_NAME":"M157","ORGANISM":"Homo sapiens","PMID":"28446439","AUTHORS":"Gryder BE,Yohe ME,Chou HC,Zhang X,Marques J,Wachtel M,Schaefer B,Sen N,Song Y,Gualtieri A,Pomella S,Rota R,Cleveland A,Wen X,Sindiri S,Wei JS,Barr FG,Das S,Andresson T,Guha R,Lal-Nag M,Ferrer M,Shern JF,Zhao K,Thomas CJ,Khan J","GEOID":"GSE83728","EXACT_SOURCE":"Supplemental Table 1, tab 2","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Berkley Gryder","CONTRIBUTOR_ORG":"NIH","DESCRIPTION_BRIEF":"Expressed genes (FPKM>1) associated with high-confidence PAX3-FOXO1 sites with enhancers in primary tumors and cell lines, restricted to those within topological domain boundaries","DESCRIPTION_FULL":"While previous studies have attempted to identify PAX3-FOXO1 target genes, these were based either on changes in gene expression or proximity to PAX3-FOXO1 in a single cell line with no consideration of expression or chromatin context. By gene expression many targets could be falsely identified which were in fact indirect, and 336 (31%) of the nearby genes previously reported to be direct targets were not expressed, while others may not be physically interacting because of barriers in 3D chromatin space. We therefore identified high-confidence PAX3-FOXO1 target genes by a series of criteria: first, using only PAX3-FOXO1 bound to enhancers recurrent in cell lines and tumors. Secondly, we only selected expressed genes, as PAX3-FOXO1 was not found in repressive chromatin. Third, we excluded nearby expressed genes if they were not found within the same topologically associated domain (TAD) as the PAX3-FOXO1 bound enhancer. Fourth, we also called out the maximally expressed gene within each TAD harboring PAX3-FOXO1. This approach removed 435 nearby but not expressed genes, and 78 expressed but out of TAD bounds. We found 1010 high-confidence targets, 678 of which were novel, and 439 were significantly reduced by shRNA knockdown of PAX3-FOXO1 for 48 hours. Novel targets include 24 oncogenes, 14 pan-cancer upregulated genes, 53 transcription factors, and 7 imprinted genes, many of which were rapidly decommissioned upon depletion of P3F (both reduced RNA-seq and H3K27ac at their enhancers."}
{"STANDARD_NAME":"GRYDER_PAX3FOXO1_TOP_ENHANCERS","SYSTEMATIC_NAME":"M172","ORGANISM":"Homo sapiens","PMID":"28446439","AUTHORS":"Gryder BE,Yohe ME,Chou HC,Zhang X,Marques J,Wachtel M,Schaefer B,Sen N,Song Y,Gualtieri A,Pomella S,Rota R,Cleveland A,Wen X,Sindiri S,Wei JS,Barr FG,Das S,Andresson T,Guha R,Lal-Nag M,Ferrer M,Shern JF,Zhao K,Thomas CJ,Khan J","GEOID":"GSE83728","EXACT_SOURCE":"Supplemental Table 1, tab 2","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Berkley Gryder","CONTRIBUTOR_ORG":"NIH","DESCRIPTION_BRIEF":"Expressed genes (FPKM>1) associated with super-high-confidence PAX3-FOXO1 sites with highly-recurrent enhancers in primary tumors and cell lines, restricted to those within topological domain boundaries","DESCRIPTION_FULL":"While previous studies have attempted to identify PAX3-FOXO1 target genes, these were based either on changes in gene expression or proximity to PAX3-FOXO1 in a single cell line with no consideration of expression or chromatin context. By gene expression many targets could be falsely identified which were in fact indirect, and 336 (31%) of the nearby genes previously reported to be direct targets were not expressed, while others may not be physically interacting because of barriers in 3D chromatin space. We therefore identified high-confidence PAX3-FOXO1 target genes by a series of criteria: first, using only PAX3-FOXO1 bound to enhancers recurrent in cell lines and tumors. Secondly, we only selected expressed genes, as PAX3-FOXO1 was not found in repressive chromatin. Third, we excluded nearby expressed genes if they were not found within the same topologically associated domain (TAD) as the PAX3-FOXO1 bound enhancer. Fourth, we also called out the maximally expressed gene within each TAD harboring PAX3-FOXO1. This approach removed 435 nearby but not expressed genes, and 78 expressed but out of TAD bounds. We found 1010 high-confidence targets, 678 of which were novel, and 439 were significantly reduced by shRNA knockdown of PAX3-FOXO1 for 48 hours. Novel targets include 24 oncogenes, 14 pan-cancer upregulated genes, 53 transcription factors, and 7 imprinted genes, many of which were rapidly decommissioned upon depletion of P3F (both reduced RNA-seq and H3K27ac at their enhancers."}
{"STANDARD_NAME":"GRYDER_PAX3FOXO1_ENHANCERS_KO_DOWN","SYSTEMATIC_NAME":"M227","ORGANISM":"Homo sapiens","PMID":"28446439","AUTHORS":"Gryder BE,Yohe ME,Chou HC,Zhang X,Marques J,Wachtel M,Schaefer B,Sen N,Song Y,Gualtieri A,Pomella S,Rota R,Cleveland A,Wen X,Sindiri S,Wei JS,Barr FG,Das S,Andresson T,Guha R,Lal-Nag M,Ferrer M,Shern JF,Zhao K,Thomas CJ,Khan J","GEOID":"GSE83724","EXACT_SOURCE":"Supplemental Table 1, tab 2","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Berkley Gryder","CONTRIBUTOR_ORG":"NIH","DESCRIPTION_BRIEF":"Expressed genes (FPKM>1) associated with high-confidence PAX3-FOXO1 sites with enhancers in primary tumors and cell lines, restricted to those within topological domain boundaries, which are downregulated by delta log2(FPKM) < -0.2","DESCRIPTION_FULL":"We identified high-confidence PAX3-FOXO1 target genes by a series of criteria: first, using only PAX3-FOXO1 bound to enhancers recurrent in cell lines and tumors. Secondly, we only selected expressed genes, as PAX3-FOXO1 was not found in repressive chromatin. Third, we excluded nearby expressed genes if they were not found within the same topologically associated domain (TAD) as the PAX3-FOXO1 bound enhancer. Fourth, we also called out the maximally expressed gene within each TAD harboring PAX3-FOXO1. This approach removed 435 nearby but not expressed genes, and 78 expressed but out of TAD bounds. We found 1010 high-confidence targets, 678 of which were novel, and 439 were significantly reduced by shRNA knockdown of PAX3-FOXO1 for 48 hours. The reduced genes are represented in this gene set, which is a subset of GRYDER_PAX3FOXO1_ENHANCERS_IN_TADS."}
{"STANDARD_NAME":"ANDERSEN_CHOLANGIOCARCINOMA_CLASS2","SYSTEMATIC_NAME":"M246","ORGANISM":"Homo sapiens","PMID":"21320499","AUTHORS":"Villanueva A,Hoshida Y,Battiston C,Tovar V,Sia D,Alsinet C,Cornella H,Liberzon A,Kobayashi M,Kumada H,Thung SN,Bruix J,Newell P,April C,Fan JB,Roayaie S,Mazzaferro V,Schwartz ME,Llovet JM","GEOID":"GSE26566","EXACT_SOURCE":"Table S1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes overexpressed in cholangiocarcinoma class 2 associated with poor prognosis.","DESCRIPTION_FULL":"In approximately 70% of patients with hepatocellular carcinoma (HCC) treated by resection or ablation, disease recurs within 5 years. Although gene expression signatures have been associated with outcome, there is no method to predict recurrence based on combined clinical, pathology, and genomic data (from tumor and cirrhotic tissue). We evaluated gene expression signatures associated with outcome in a large cohort of patients with early stage (Barcelona-Clinic Liver Cancer 0/A), single-nodule HCC and heterogeneity of signatures within tumor tissues."}
{"STANDARD_NAME":"ANDERSEN_CHOLANGIOCARCINOMA_CLASS1","SYSTEMATIC_NAME":"M282","ORGANISM":"Homo sapiens","PMID":"21320499","AUTHORS":"Villanueva A,Hoshida Y,Battiston C,Tovar V,Sia D,Alsinet C,Cornella H,Liberzon A,Kobayashi M,Kumada H,Thung SN,Bruix J,Newell P,April C,Fan JB,Roayaie S,Mazzaferro V,Schwartz ME,Llovet JM","GEOID":"GSE26566","EXACT_SOURCE":"Table S1","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes overexpressed in cholangiocarcinoma class 1 associated with good prognosis","DESCRIPTION_FULL":"In approximately 70% of patients with hepatocellular carcinoma (HCC) treated by resection or ablation, disease recurs within 5 years. Although gene expression signatures have been associated with outcome, there is no method to predict recurrence based on combined clinical, pathology, and genomic data (from tumor and cirrhotic tissue). We evaluated gene expression signatures associated with outcome in a large cohort of patients with early stage (Barcelona-Clinic Liver Cancer 0/A), single-nodule HCC and heterogeneity of signatures within tumor tissues."}
{"STANDARD_NAME":"OISHI_CHOLANGIOMA_STEM_CELL_LIKE_UP","SYSTEMATIC_NAME":"M283","ORGANISM":"Homo sapiens","PMID":"21320499","AUTHORS":"Villanueva A,Hoshida Y,Battiston C,Tovar V,Sia D,Alsinet C,Cornella H,Liberzon A,Kobayashi M,Kumada H,Thung SN,Bruix J,Newell P,April C,Fan JB,Roayaie S,Mazzaferro V,Schwartz ME,Llovet JM","GEOID":"GSE32879","EXACT_SOURCE":"Table S2: Fold-change > 1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes over-expressed in stem cell-like cholangiocellular carcinoma.","DESCRIPTION_FULL":"In approximately 70% of patients with hepatocellular carcinoma (HCC) treated by resection or ablation, disease recurs within 5 years. Although gene expression signatures have been associated with outcome, there is no method to predict recurrence based on combined clinical, pathology, and genomic data (from tumor and cirrhotic tissue). We evaluated gene expression signatures associated with outcome in a large cohort of patients with early stage (Barcelona-Clinic Liver Cancer 0/A), single-nodule HCC and heterogeneity of signatures within tumor tissues."}
{"STANDARD_NAME":"OISHI_CHOLANGIOMA_STEM_CELL_LIKE_DN","SYSTEMATIC_NAME":"M289","ORGANISM":"Homo sapiens","PMID":"21320499","AUTHORS":"Villanueva A,Hoshida Y,Battiston C,Tovar V,Sia D,Alsinet C,Cornella H,Liberzon A,Kobayashi M,Kumada H,Thung SN,Bruix J,Newell P,April C,Fan JB,Roayaie S,Mazzaferro V,Schwartz ME,Llovet JM","GEOID":"GSE32879","EXACT_SOURCE":"Table S2: Fold-change < 1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes under-expressed in stem cell-like cholangiocellular carcinoma","DESCRIPTION_FULL":"In approximately 70% of patients with hepatocellular carcinoma (HCC) treated by resection or ablation, disease recurs within 5 years. Although gene expression signatures have been associated with outcome, there is no method to predict recurrence based on combined clinical, pathology, and genomic data (from tumor and cirrhotic tissue). We evaluated gene expression signatures associated with outcome in a large cohort of patients with early stage (Barcelona-Clinic Liver Cancer 0/A), single-nodule HCC and heterogeneity of signatures within tumor tissues."}
{"STANDARD_NAME":"VILLANUEVA_LIVER_CANCER_KRT19_UP","SYSTEMATIC_NAME":"M336","ORGANISM":"Homo sapiens","PMID":"21320499","AUTHORS":"Villanueva A,Hoshida Y,Battiston C,Tovar V,Sia D,Alsinet C,Cornella H,Liberzon A,Kobayashi M,Kumada H,Thung SN,Bruix J,Newell P,April C,Fan JB,Roayaie S,Mazzaferro V,Schwartz ME,Llovet JM","EXACT_SOURCE":"personal communication","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes over-expressed in KRT19-positive [GeneID=3880] hepatocellular carcinoma (HCC).","DESCRIPTION_FULL":"In approximately 70% of patients with hepatocellular carcinoma (HCC) treated by resection or ablation, disease recurs within 5 years. Although gene expression signatures have been associated with outcome, there is no method to predict recurrence based on combined clinical, pathology, and genomic data (from tumor and cirrhotic tissue). We evaluated gene expression signatures associated with outcome in a large cohort of patients with early stage (Barcelona-Clinic Liver Cancer 0/A), single-nodule HCC and heterogeneity of signatures within tumor tissues."}
{"STANDARD_NAME":"VILLANUEVA_LIVER_CANCER_KRT19_DN","SYSTEMATIC_NAME":"M373","ORGANISM":"Homo sapiens","PMID":"21320499","AUTHORS":"Villanueva A,Hoshida Y,Battiston C,Tovar V,Sia D,Alsinet C,Cornella H,Liberzon A,Kobayashi M,Kumada H,Thung SN,Bruix J,Newell P,April C,Fan JB,Roayaie S,Mazzaferro V,Schwartz ME,Llovet JM","EXACT_SOURCE":"personal communication","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes under-expressed in KRT19-positive [GeneID=3880] hepatocellular carcinoma (HCC).","DESCRIPTION_FULL":"In approximately 70% of patients with hepatocellular carcinoma (HCC) treated by resection or ablation, disease recurs within 5 years. Although gene expression signatures have been associated with outcome, there is no method to predict recurrence based on combined clinical, pathology, and genomic data (from tumor and cirrhotic tissue). We evaluated gene expression signatures associated with outcome in a large cohort of patients with early stage (Barcelona-Clinic Liver Cancer 0/A), single-nodule HCC and heterogeneity of signatures within tumor tissues."}
{"STANDARD_NAME":"MINGUEZ_LIVER_CANCER_VASCULAR_INVASION_UP","SYSTEMATIC_NAME":"M378","ORGANISM":"Homo sapiens","PMID":"21320499","AUTHORS":"Villanueva A,Hoshida Y,Battiston C,Tovar V,Sia D,Alsinet C,Cornella H,Liberzon A,Kobayashi M,Kumada H,Thung SN,Bruix J,Newell P,April C,Fan JB,Roayaie S,Mazzaferro V,Schwartz ME,Llovet JM","GEOID":"GSE20238","EXACT_SOURCE":"Table 2: Signal-to-noise ratio > 0","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes over-expressed in hepatocellular carcinoma (HCC) with vascular invasion.","DESCRIPTION_FULL":"In approximately 70% of patients with hepatocellular carcinoma (HCC) treated by resection or ablation, disease recurs within 5 years. Although gene expression signatures have been associated with outcome, there is no method to predict recurrence based on combined clinical, pathology, and genomic data (from tumor and cirrhotic tissue). We evaluated gene expression signatures associated with outcome in a large cohort of patients with early stage (Barcelona-Clinic Liver Cancer 0/A), single-nodule HCC and heterogeneity of signatures within tumor tissues."}
{"STANDARD_NAME":"MINGUEZ_LIVER_CANCER_VASCULAR_INVASION_DN","SYSTEMATIC_NAME":"M398","ORGANISM":"Homo sapiens","PMID":"21320499","AUTHORS":"Villanueva A,Hoshida Y,Battiston C,Tovar V,Sia D,Alsinet C,Cornella H,Liberzon A,Kobayashi M,Kumada H,Thung SN,Bruix J,Newell P,April C,Fan JB,Roayaie S,Mazzaferro V,Schwartz ME,Llovet JM","GEOID":"GSE20238","EXACT_SOURCE":"Table 2: Signal-to-noise ratio < 0","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes under-expressed in hepatocellular carcinoma (HCC) with vascular invasion.","DESCRIPTION_FULL":"In approximately 70% of patients with hepatocellular carcinoma (HCC) treated by resection or ablation, disease recurs within 5 years. Although gene expression signatures have been associated with outcome, there is no method to predict recurrence based on combined clinical, pathology, and genomic data (from tumor and cirrhotic tissue). We evaluated gene expression signatures associated with outcome in a large cohort of patients with early stage (Barcelona-Clinic Liver Cancer 0/A), single-nodule HCC and heterogeneity of signatures within tumor tissues."}
{"STANDARD_NAME":"ANDERSEN_LIVER_CANCER_KRT19_UP","SYSTEMATIC_NAME":"M416","ORGANISM":"Homo sapiens","PMID":"21320499","AUTHORS":"Villanueva A,Hoshida Y,Battiston C,Tovar V,Sia D,Alsinet C,Cornella H,Liberzon A,Kobayashi M,Kumada H,Thung SN,Bruix J,Newell P,April C,Fan JB,Roayaie S,Mazzaferro V,Schwartz ME,Llovet JM","EXACT_SOURCE":"Table S3: Fold-change > 1","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes over-expressed in KRT19-positive [GeneID=3880] hepatocellular carcinoma.","DESCRIPTION_FULL":"In approximately 70% of patients with hepatocellular carcinoma (HCC) treated by resection or ablation, disease recurs within 5 years. Although gene expression signatures have been associated with outcome, there is no method to predict recurrence based on combined clinical, pathology, and genomic data (from tumor and cirrhotic tissue). We evaluated gene expression signatures associated with outcome in a large cohort of patients with early stage (Barcelona-Clinic Liver Cancer 0/A), single-nodule HCC and heterogeneity of signatures within tumor tissues."}
{"STANDARD_NAME":"ANDERSEN_LIVER_CANCER_KRT19_DN","SYSTEMATIC_NAME":"M424","ORGANISM":"Homo sapiens","PMID":"21320499","AUTHORS":"Villanueva A,Hoshida Y,Battiston C,Tovar V,Sia D,Alsinet C,Cornella H,Liberzon A,Kobayashi M,Kumada H,Thung SN,Bruix J,Newell P,April C,Fan JB,Roayaie S,Mazzaferro V,Schwartz ME,Llovet JM","EXACT_SOURCE":"Table S3: Fold-change < 1","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes under-expressed in KRT19-positive [GeneID=3880] hepatocellular carcinoma.","DESCRIPTION_FULL":"In approximately 70% of patients with hepatocellular carcinoma (HCC) treated by resection or ablation, disease recurs within 5 years. Although gene expression signatures have been associated with outcome, there is no method to predict recurrence based on combined clinical, pathology, and genomic data (from tumor and cirrhotic tissue). We evaluated gene expression signatures associated with outcome in a large cohort of patients with early stage (Barcelona-Clinic Liver Cancer 0/A), single-nodule HCC and heterogeneity of signatures within tumor tissues."}
{"STANDARD_NAME":"KIM_LIVER_CANCER_POOR_SURVIVAL_UP","SYSTEMATIC_NAME":"M450","ORGANISM":"Homo sapiens","PMID":"21320499","AUTHORS":"Villanueva A,Hoshida Y,Battiston C,Tovar V,Sia D,Alsinet C,Cornella H,Liberzon A,Kobayashi M,Kumada H,Thung SN,Bruix J,Newell P,April C,Fan JB,Roayaie S,Mazzaferro V,Schwartz ME,Llovet JM","GEOID":"GSE16757","EXACT_SOURCE":"Table 2: Coefficient > 0","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes over-expressed in hepatocellular carcinoma (HCC) with poor survival","DESCRIPTION_FULL":"In approximately 70% of patients with hepatocellular carcinoma (HCC) treated by resection or ablation, disease recurs within 5 years. Although gene expression signatures have been associated with outcome, there is no method to predict recurrence based on combined clinical, pathology, and genomic data (from tumor and cirrhotic tissue). We evaluated gene expression signatures associated with outcome in a large cohort of patients with early stage (Barcelona-Clinic Liver Cancer 0/A), single-nodule HCC and heterogeneity of signatures within tumor tissues."}
{"STANDARD_NAME":"KIM_LIVER_CANCER_POOR_SURVIVAL_DN","SYSTEMATIC_NAME":"M534","ORGANISM":"Homo sapiens","PMID":"21320499","AUTHORS":"Villanueva A,Hoshida Y,Battiston C,Tovar V,Sia D,Alsinet C,Cornella H,Liberzon A,Kobayashi M,Kumada H,Thung SN,Bruix J,Newell P,April C,Fan JB,Roayaie S,Mazzaferro V,Schwartz ME,Llovet JM","GEOID":"GSE16757","EXACT_SOURCE":"Table 2: Coefficient < 0","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Yujin Hoshida","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes under-expressed in hepatocellular carcinoma (HCC) with poor survival","DESCRIPTION_FULL":"In approximately 70% of patients with hepatocellular carcinoma (HCC) treated by resection or ablation, disease recurs within 5 years. Although gene expression signatures have been associated with outcome, there is no method to predict recurrence based on combined clinical, pathology, and genomic data (from tumor and cirrhotic tissue). We evaluated gene expression signatures associated with outcome in a large cohort of patients with early stage (Barcelona-Clinic Liver Cancer 0/A), single-nodule HCC and heterogeneity of signatures within tumor tissues."}
{"STANDARD_NAME":"HOLLERN_ADENOMYOEPITHELIAL_BREAST_TUMOR","SYSTEMATIC_NAME":"M555","ORGANISM":"Mus musculus","PMID":"29346386","AUTHORS":"Hollern DP,Swiatnicki MR,Andrechek ER","EXACT_SOURCE":"File S1: Upregulated_in_Adenomyoepithelioma","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Daniel Hollern","CONTRIBUTOR_ORG":"University of North Carolina","DESCRIPTION_BRIEF":"Genes that have high expression in mammary tumors of adenomyoepithelial histology.","DESCRIPTION_FULL":"Human breast cancer has been characterized by extensive transcriptional heterogeneity, with dominant patterns reflected in the intrinsic subtypes. Mouse models of breast cancer also have heterogeneous transcriptomes and we noted that specific histological subtypes were associated with particular subsets. We hypothesized that unique sets of genes define each tumor histological type across mouse models of breast cancer. Using mouse models that contained both gene expression data and expert pathologist classification of tumor histology on a sample by sample basis, we predicted and validated gene expression signatures for Papillary, EMT, Microacinar and other histological subtypes. These signatures predict known histological events across murine breast cancer models and identify counterparts of mouse mammary tumor types in subtypes of human breast cancer. Importantly, the EMT, Adenomyoepithelial, and Solid signatures were predictive of clinical events in human breast cancer. In addition, a pan-cancer comparison revealed that the histological signatures were active in a variety of human cancers such as lung, oral, and esophageal squamous tumors. Finally, the differentiation status and transcriptional activity implicit within these signatures was identified. These data reveal that within tumor histology groups are unique gene expression profiles of differentiation and pathway activity that stretch well beyond the transgenic initiating events and that have clear applicability to human cancers. As a result, our work provides a predictive resource and insights into possible mechanisms that govern tumor heterogeneity."}
{"STANDARD_NAME":"HOLLERN_EMT_BREAST_TUMOR_UP","SYSTEMATIC_NAME":"M617","ORGANISM":"Mus musculus","PMID":"29346386","AUTHORS":"Hollern DP,Swiatnicki MR,Andrechek ER","EXACT_SOURCE":"File S1: Upregulated_In_EMT","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Daniel Hollern","CONTRIBUTOR_ORG":"University of North Carolina","DESCRIPTION_BRIEF":"Genes that are highly expressed in mammary tumors of epithelial-mesenchymal transition (EMT) histology.","DESCRIPTION_FULL":"Human breast cancer has been characterized by extensive transcriptional heterogeneity, with dominant patterns reflected in the intrinsic subtypes. Mouse models of breast cancer also have heterogeneous transcriptomes and we noted that specific histological subtypes were associated with particular subsets. We hypothesized that unique sets of genes define each tumor histological type across mouse models of breast cancer. Using mouse models that contained both gene expression data and expert pathologist classification of tumor histology on a sample by sample basis, we predicted and validated gene expression signatures for Papillary, EMT, Microacinar and other histological subtypes. These signatures predict known histological events across murine breast cancer models and identify counterparts of mouse mammary tumor types in subtypes of human breast cancer. Importantly, the EMT, Adenomyoepithelial, and Solid signatures were predictive of clinical events in human breast cancer. In addition, a pan-cancer comparison revealed that the histological signatures were active in a variety of human cancers such as lung, oral, and esophageal squamous tumors. Finally, the differentiation status and transcriptional activity implicit within these signatures was identified. These data reveal that within tumor histology groups are unique gene expression profiles of differentiation and pathway activity that stretch well beyond the transgenic initiating events and that have clear applicability to human cancers. As a result, our work provides a predictive resource and insights into possible mechanisms that govern tumor heterogeneity."}
{"STANDARD_NAME":"HOLLERN_EMT_BREAST_TUMOR_DN","SYSTEMATIC_NAME":"M624","ORGANISM":"Mus musculus","PMID":"29346386","AUTHORS":"Hollern DP,Swiatnicki MR,Andrechek ER","EXACT_SOURCE":"File S1: Downregulated_In_EMT","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Daniel Hollern","CONTRIBUTOR_ORG":"University of North Carolina","DESCRIPTION_BRIEF":"Genes that that have low expression in mammary tumors of epithelial-mesenchymal transition (EMT) histology.","DESCRIPTION_FULL":"Human breast cancer has been characterized by extensive transcriptional heterogeneity, with dominant patterns reflected in the intrinsic subtypes. Mouse models of breast cancer also have heterogeneous transcriptomes and we noted that specific histological subtypes were associated with particular subsets. We hypothesized that unique sets of genes define each tumor histological type across mouse models of breast cancer. Using mouse models that contained both gene expression data and expert pathologist classification of tumor histology on a sample by sample basis, we predicted and validated gene expression signatures for Papillary, EMT, Microacinar and other histological subtypes. These signatures predict known histological events across murine breast cancer models and identify counterparts of mouse mammary tumor types in subtypes of human breast cancer. Importantly, the EMT, Adenomyoepithelial, and Solid signatures were predictive of clinical events in human breast cancer. In addition, a pan-cancer comparison revealed that the histological signatures were active in a variety of human cancers such as lung, oral, and esophageal squamous tumors. Finally, the differentiation status and transcriptional activity implicit within these signatures was identified. These data reveal that within tumor histology groups are unique gene expression profiles of differentiation and pathway activity that stretch well beyond the transgenic initiating events and that have clear applicability to human cancers. As a result, our work provides a predictive resource and insights into possible mechanisms that govern tumor heterogeneity."}
{"STANDARD_NAME":"HOLLERN_SQUAMOUS_BREAST_TUMOR","SYSTEMATIC_NAME":"M650","ORGANISM":"Mus musculus","PMID":"29346386","AUTHORS":"Hollern DP,Swiatnicki MR,Andrechek ER","EXACT_SOURCE":"File S1: Upregulated_In_Squamous","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Daniel Hollern","CONTRIBUTOR_ORG":"University of North Carolina","DESCRIPTION_BRIEF":"Genes that have high expression in mammary tumors of squamous epithelium histology.","DESCRIPTION_FULL":"Human breast cancer has been characterized by extensive transcriptional heterogeneity, with dominant patterns reflected in the intrinsic subtypes. Mouse models of breast cancer also have heterogeneous transcriptomes and we noted that specific histological subtypes were associated with particular subsets. We hypothesized that unique sets of genes define each tumor histological type across mouse models of breast cancer. Using mouse models that contained both gene expression data and expert pathologist classification of tumor histology on a sample by sample basis, we predicted and validated gene expression signatures for Papillary, EMT, Microacinar and other histological subtypes. These signatures predict known histological events across murine breast cancer models and identify counterparts of mouse mammary tumor types in subtypes of human breast cancer. Importantly, the EMT, Adenomyoepithelial, and Solid signatures were predictive of clinical events in human breast cancer. In addition, a pan-cancer comparison revealed that the histological signatures were active in a variety of human cancers such as lung, oral, and esophageal squamous tumors. Finally, the differentiation status and transcriptional activity implicit within these signatures was identified. These data reveal that within tumor histology groups are unique gene expression profiles of differentiation and pathway activity that stretch well beyond the transgenic initiating events and that have clear applicability to human cancers. As a result, our work provides a predictive resource and insights into possible mechanisms that govern tumor heterogeneity."}
{"STANDARD_NAME":"HOLLERN_PAPILLARY_BREAST_TUMOR","SYSTEMATIC_NAME":"M694","ORGANISM":"Mus musculus","PMID":"29346386","AUTHORS":"Hollern DP,Swiatnicki MR,Andrechek ER","EXACT_SOURCE":"File S1: Upregulated_In_Papillary","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Daniel Hollern","CONTRIBUTOR_ORG":"University of North Carolina","DESCRIPTION_BRIEF":"Genes that have high expression in paplillary mammary tumors.","DESCRIPTION_FULL":"Human breast cancer has been characterized by extensive transcriptional heterogeneity, with dominant patterns reflected in the intrinsic subtypes. Mouse models of breast cancer also have heterogeneous transcriptomes and we noted that specific histological subtypes were associated with particular subsets. We hypothesized that unique sets of genes define each tumor histological type across mouse models of breast cancer. Using mouse models that contained both gene expression data and expert pathologist classification of tumor histology on a sample by sample basis, we predicted and validated gene expression signatures for Papillary, EMT, Microacinar and other histological subtypes. These signatures predict known histological events across murine breast cancer models and identify counterparts of mouse mammary tumor types in subtypes of human breast cancer. Importantly, the EMT, Adenomyoepithelial, and Solid signatures were predictive of clinical events in human breast cancer. In addition, a pan-cancer comparison revealed that the histological signatures were active in a variety of human cancers such as lung, oral, and esophageal squamous tumors. Finally, the differentiation status and transcriptional activity implicit within these signatures was identified. These data reveal that within tumor histology groups are unique gene expression profiles of differentiation and pathway activity that stretch well beyond the transgenic initiating events and that have clear applicability to human cancers. As a result, our work provides a predictive resource and insights into possible mechanisms that govern tumor heterogeneity."}
{"STANDARD_NAME":"HOLLERN_MICROACINAR_BREAST_TUMOR_UP","SYSTEMATIC_NAME":"M696","ORGANISM":"Mus musculus","PMID":"29346386","AUTHORS":"Hollern DP,Swiatnicki MR,Andrechek ER","EXACT_SOURCE":"File S1: Upregulated_In_Microacinar","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Daniel Hollern","CONTRIBUTOR_ORG":"University of North Carolina","DESCRIPTION_BRIEF":"Genes that have high expression in mammary tumors of microacinar histology.","DESCRIPTION_FULL":"Human breast cancer has been characterized by extensive transcriptional heterogeneity, with dominant patterns reflected in the intrinsic subtypes. Mouse models of breast cancer also have heterogeneous transcriptomes and we noted that specific histological subtypes were associated with particular subsets. We hypothesized that unique sets of genes define each tumor histological type across mouse models of breast cancer. Using mouse models that contained both gene expression data and expert pathologist classification of tumor histology on a sample by sample basis, we predicted and validated gene expression signatures for Papillary, EMT, Microacinar and other histological subtypes. These signatures predict known histological events across murine breast cancer models and identify counterparts of mouse mammary tumor types in subtypes of human breast cancer. Importantly, the EMT, Adenomyoepithelial, and Solid signatures were predictive of clinical events in human breast cancer. In addition, a pan-cancer comparison revealed that the histological signatures were active in a variety of human cancers such as lung, oral, and esophageal squamous tumors. Finally, the differentiation status and transcriptional activity implicit within these signatures was identified. These data reveal that within tumor histology groups are unique gene expression profiles of differentiation and pathway activity that stretch well beyond the transgenic initiating events and that have clear applicability to human cancers. As a result, our work provides a predictive resource and insights into possible mechanisms that govern tumor heterogeneity."}
{"STANDARD_NAME":"HOLLERN_MICROACINAR_BREAST_TUMOR_DN","SYSTEMATIC_NAME":"M717","ORGANISM":"Mus musculus","PMID":"29346386","AUTHORS":"Hollern DP,Swiatnicki MR,Andrechek ER","EXACT_SOURCE":"File S1: Downregulated_In_Microacinar","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Daniel Hollern","CONTRIBUTOR_ORG":"University of North Carolina","DESCRIPTION_BRIEF":"Genes that have low expression in mammary tumors of microacinar histology.","DESCRIPTION_FULL":"Human breast cancer has been characterized by extensive transcriptional heterogeneity, with dominant patterns reflected in the intrinsic subtypes. Mouse models of breast cancer also have heterogeneous transcriptomes and we noted that specific histological subtypes were associated with particular subsets. We hypothesized that unique sets of genes define each tumor histological type across mouse models of breast cancer. Using mouse models that contained both gene expression data and expert pathologist classification of tumor histology on a sample by sample basis, we predicted and validated gene expression signatures for Papillary, EMT, Microacinar and other histological subtypes. These signatures predict known histological events across murine breast cancer models and identify counterparts of mouse mammary tumor types in subtypes of human breast cancer. Importantly, the EMT, Adenomyoepithelial, and Solid signatures were predictive of clinical events in human breast cancer. In addition, a pan-cancer comparison revealed that the histological signatures were active in a variety of human cancers such as lung, oral, and esophageal squamous tumors. Finally, the differentiation status and transcriptional activity implicit within these signatures was identified. These data reveal that within tumor histology groups are unique gene expression profiles of differentiation and pathway activity that stretch well beyond the transgenic initiating events and that have clear applicability to human cancers. As a result, our work provides a predictive resource and insights into possible mechanisms that govern tumor heterogeneity."}
{"STANDARD_NAME":"HOLLERN_SOLID_NODULAR_BREAST_TUMOR_UP","SYSTEMATIC_NAME":"M742","ORGANISM":"Mus musculus","PMID":"29346386","AUTHORS":"Hollern DP,Swiatnicki MR,Andrechek ER","EXACT_SOURCE":"File S1: Upregulated_In_SolidNodular","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Daniel Hollern","CONTRIBUTOR_ORG":"University of North Carolina","DESCRIPTION_BRIEF":"Genes that have high expression in mammary tumors of solid nodular histology.","DESCRIPTION_FULL":"Human breast cancer has been characterized by extensive transcriptional heterogeneity, with dominant patterns reflected in the intrinsic subtypes. Mouse models of breast cancer also have heterogeneous transcriptomes and we noted that specific histological subtypes were associated with particular subsets. We hypothesized that unique sets of genes define each tumor histological type across mouse models of breast cancer. Using mouse models that contained both gene expression data and expert pathologist classification of tumor histology on a sample by sample basis, we predicted and validated gene expression signatures for Papillary, EMT, Microacinar and other histological subtypes. These signatures predict known histological events across murine breast cancer models and identify counterparts of mouse mammary tumor types in subtypes of human breast cancer. Importantly, the EMT, Adenomyoepithelial, and Solid signatures were predictive of clinical events in human breast cancer. In addition, a pan-cancer comparison revealed that the histological signatures were active in a variety of human cancers such as lung, oral, and esophageal squamous tumors. Finally, the differentiation status and transcriptional activity implicit within these signatures was identified. These data reveal that within tumor histology groups are unique gene expression profiles of differentiation and pathway activity that stretch well beyond the transgenic initiating events and that have clear applicability to human cancers. As a result, our work provides a predictive resource and insights into possible mechanisms that govern tumor heterogeneity."}
{"STANDARD_NAME":"HOLLERN_SOLID_NODULAR_BREAST_TUMOR_DN","SYSTEMATIC_NAME":"M743","ORGANISM":"Mus musculus","PMID":"29346386","AUTHORS":"Hollern DP,Swiatnicki MR,Andrechek ER","EXACT_SOURCE":"File S1: Downregulated_In_SolidNodular","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Daniel Hollern","CONTRIBUTOR_ORG":"University of North Carolina","DESCRIPTION_BRIEF":"Genes that have low expression in mammary tumors of solid nodular histology.","DESCRIPTION_FULL":"Human breast cancer has been characterized by extensive transcriptional heterogeneity, with dominant patterns reflected in the intrinsic subtypes. Mouse models of breast cancer also have heterogeneous transcriptomes and we noted that specific histological subtypes were associated with particular subsets. We hypothesized that unique sets of genes define each tumor histological type across mouse models of breast cancer. Using mouse models that contained both gene expression data and expert pathologist classification of tumor histology on a sample by sample basis, we predicted and validated gene expression signatures for Papillary, EMT, Microacinar and other histological subtypes. These signatures predict known histological events across murine breast cancer models and identify counterparts of mouse mammary tumor types in subtypes of human breast cancer. Importantly, the EMT, Adenomyoepithelial, and Solid signatures were predictive of clinical events in human breast cancer. In addition, a pan-cancer comparison revealed that the histological signatures were active in a variety of human cancers such as lung, oral, and esophageal squamous tumors. Finally, the differentiation status and transcriptional activity implicit within these signatures was identified. These data reveal that within tumor histology groups are unique gene expression profiles of differentiation and pathway activity that stretch well beyond the transgenic initiating events and that have clear applicability to human cancers. As a result, our work provides a predictive resource and insights into possible mechanisms that govern tumor heterogeneity."}
{"STANDARD_NAME":"FLORIO_NEOCORTEX_BASAL_RADIAL_GLIA_DN","SYSTEMATIC_NAME":"M761","ORGANISM":"Homo sapiens","PMID":"25721503","AUTHORS":"Florio M,Albert M,Taverna E,Namba T,Brandl H,Lewitus E,Haffner C,Sykes A,Wong FK,Peters J,Guhr E,Klemroth S,Prüfer K,Kelso J,Naumann R,Nüsslein I,Dahl A,Lachmann R,Pääbo S,Huttner WB","GEOID":"GSE65000","EXACT_SOURCE":"Table 1S: aRG>bRG>N (190)","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated in basal radial glia (bRG) relative to apical radial glia (aRG), and up-regulated in both aRG and bRG relative to neurons.","DESCRIPTION_FULL":"Evolutionary expansion of the human neocortex reflects increased amplification of basal progenitors in the subventricular zone, producing more neurons during fetal corticogenesis. In this work, we analyze the transcriptomes of distinct progenitor subpopulations isolated by a cell polarity-based approach from developing mouse and human neocortex. We identify 56 genes preferentially expressed in human apical and basal radial glia that lack mouse orthologs. Among these, ARHGAP11B has the highest degree of radial glia-specific expression. ARHGAP11B arose from partial duplication of ARHGAP11A (which encodes a Rho guanosine triphosphatase-activating protein) on the human lineage after separation from the chimpanzee lineage. Expression of ARHGAP11B in embryonic mouse neocortex promotes basal progenitor generation and self-renewal and can increase cortical plate area and induce gyrification. Hence, ARHGAP11B may have contributed to evolutionary expansion of human neocortex."}
{"STANDARD_NAME":"FLORIO_NEOCORTEX_BASAL_RADIAL_GLIA_UP","SYSTEMATIC_NAME":"M798","ORGANISM":"Homo sapiens","PMID":"25721503","AUTHORS":"Florio M,Albert M,Taverna E,Namba T,Brandl H,Lewitus E,Haffner C,Sykes A,Wong FK,Peters J,Guhr E,Klemroth S,Prüfer K,Kelso J,Naumann R,Nüsslein I,Dahl A,Lachmann R,Pääbo S,Huttner WB","GEOID":"GSE65000","EXACT_SOURCE":"Table 2S: bRG≥aRG>N (394)","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in basal radial glia (bRG) relative to apical radial glia (aRG), and up-regulated in both aRG and bRG relative to neurons.","DESCRIPTION_FULL":"Evolutionary expansion of the human neocortex reflects increased amplification of basal progenitors in the subventricular zone, producing more neurons during fetal corticogenesis. In this work, we analyze the transcriptomes of distinct progenitor subpopulations isolated by a cell polarity-based approach from developing mouse and human neocortex. We identify 56 genes preferentially expressed in human apical and basal radial glia that lack mouse orthologs. Among these, ARHGAP11B has the highest degree of radial glia-specific expression. ARHGAP11B arose from partial duplication of ARHGAP11A (which encodes a Rho guanosine triphosphatase-activating protein) on the human lineage after separation from the chimpanzee lineage. Expression of ARHGAP11B in embryonic mouse neocortex promotes basal progenitor generation and self-renewal and can increase cortical plate area and induce gyrification. Hence, ARHGAP11B may have contributed to evolutionary expansion of human neocortex."}
{"STANDARD_NAME":"FLORIO_HUMAN_NEOCORTEX","SYSTEMATIC_NAME":"M799","ORGANISM":"Homo sapiens","PMID":"25721503","AUTHORS":"Florio M,Albert M,Taverna E,Namba T,Brandl H,Lewitus E,Haffner C,Sykes A,Wong FK,Peters J,Guhr E,Klemroth S,Prüfer K,Kelso J,Naumann R,Nüsslein I,Dahl A,Lachmann R,Pääbo S,Huttner WB","GEOID":"GSE65000","EXACT_SOURCE":"Table 2S: without ms ortholog (56)","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Human-specific genes up-regulated in basal radial glia (bRG) relative to apical radial glia (aRG), and up-regulated in both aRG and bRG relative to neurons.","DESCRIPTION_FULL":"Evolutionary expansion of the human neocortex reflects increased amplification of basal progenitors in the subventricular zone, producing more neurons during fetal corticogenesis. In this work, we analyze the transcriptomes of distinct progenitor subpopulations isolated by a cell polarity-based approach from developing mouse and human neocortex. We identify 56 genes preferentially expressed in human apical and basal radial glia that lack mouse orthologs. Among these, ARHGAP11B has the highest degree of radial glia-specific expression. ARHGAP11B arose from partial duplication of ARHGAP11A (which encodes a Rho guanosine triphosphatase-activating protein) on the human lineage after separation from the chimpanzee lineage. Expression of ARHGAP11B in embryonic mouse neocortex promotes basal progenitor generation and self-renewal and can increase cortical plate area and induce gyrification. Hence, ARHGAP11B may have contributed to evolutionary expansion of human neocortex."}
{"STANDARD_NAME":"GARGALOVIC_RESPONSE_TO_OXIDIZED_PHOSPHOLIPIDS_PINK_DN","SYSTEMATIC_NAME":"M27963","ORGANISM":"Homo sapiens","PMID":"16912112","AUTHORS":"Gargalovic PS,Imura M,Zhang B,Gharavi NM,Clark MJ,Pagnon J,Yang WP,He A,Truong A,Patel S,Nelson SF,Horvath S,Berliner JA,Kirchgessner TG,Lusis AJ","EXACT_SOURCE":"Table 1S: module=pink & fold change < 0.667","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes from the pink module which are dn-regulated in HAEC cells (primary aortic endothelium) after exposure to the oxidized 1-palmitoyl-2-arachidonyl-sn-3-glycerophosphorylcholine (oxPAPC).","DESCRIPTION_FULL":"Oxidized phospholipids are thought to promote atherogenesis by stimulating endothelial cells (ECs) to produce inflammatory cytokines, such as IL-8. In studies with mouse models, we previously demonstrated that genetic variation in inflammatory responses of endothelial cells to oxidized lipids contributes importantly to atherosclerosis susceptibility. We now show that similar variations occur in cultured aortic ECs derived from multiple heart transplant donors. These variations were stably maintained between passages and, thus, reflect either genetic or epigenetic regulatory differences. Expression array analysis of aortic EC cultures derived from 12 individuals revealed that >1,000 genes were regulated by oxidized phospholipids. We have used the observed variations in the sampled population to construct a gene coexpression network comprised of 15 modules of highly connected genes. We show that several identified modules are significantly enriched in genes for known pathways and confirm a module enriched for unfolded protein response (UPR) genes using siRNA and the UPR inducer tunicamycin. On the basis of the constructed network, we predicted that a gene of unknown function (MGC4504) present in the UPR module is a target for UPR transcriptional activator ATF4. Our data also indicate that IL-8 is present in the UPR module and is regulated, in part, by the UPR. We validate these by using siRNA. In conclusion, we show that interindividual variability can be used to group genes into pathways and predict gene-gene regulatory relationships, thus identifying targets potentially involved in susceptibility to common diseases such as atherosclerosis."}
{"STANDARD_NAME":"GARGALOVIC_RESPONSE_TO_OXIDIZED_PHOSPHOLIPIDS_PURPLE_DN","SYSTEMATIC_NAME":"M27964","ORGANISM":"Homo sapiens","PMID":"16912112","AUTHORS":"Gargalovic PS,Imura M,Zhang B,Gharavi NM,Clark MJ,Pagnon J,Yang WP,He A,Truong A,Patel S,Nelson SF,Horvath S,Berliner JA,Kirchgessner TG,Lusis AJ","EXACT_SOURCE":"Table 1S: module=purple & fold change < 0.667","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes from the purple module which are dn-regulated in HAEC cells (primary aortic endothelium) after exposure to the oxidized 1-palmitoyl-2-arachidonyl-sn-3-glycerophosphorylcholine (oxPAPC).","DESCRIPTION_FULL":"Oxidized phospholipids are thought to promote atherogenesis by stimulating endothelial cells (ECs) to produce inflammatory cytokines, such as IL-8. In studies with mouse models, we previously demonstrated that genetic variation in inflammatory responses of endothelial cells to oxidized lipids contributes importantly to atherosclerosis susceptibility. We now show that similar variations occur in cultured aortic ECs derived from multiple heart transplant donors. These variations were stably maintained between passages and, thus, reflect either genetic or epigenetic regulatory differences. Expression array analysis of aortic EC cultures derived from 12 individuals revealed that >1,000 genes were regulated by oxidized phospholipids. We have used the observed variations in the sampled population to construct a gene coexpression network comprised of 15 modules of highly connected genes. We show that several identified modules are significantly enriched in genes for known pathways and confirm a module enriched for unfolded protein response (UPR) genes using siRNA and the UPR inducer tunicamycin. On the basis of the constructed network, we predicted that a gene of unknown function (MGC4504) present in the UPR module is a target for UPR transcriptional activator ATF4. Our data also indicate that IL-8 is present in the UPR module and is regulated, in part, by the UPR. We validate these by using siRNA. In conclusion, we show that interindividual variability can be used to group genes into pathways and predict gene-gene regulatory relationships, thus identifying targets potentially involved in susceptibility to common diseases such as atherosclerosis."}
{"STANDARD_NAME":"GARGALOVIC_RESPONSE_TO_OXIDIZED_PHOSPHOLIPIDS_BROWN_UP","SYSTEMATIC_NAME":"M27965","ORGANISM":"Homo sapiens","PMID":"16912112","AUTHORS":"Gargalovic PS,Imura M,Zhang B,Gharavi NM,Clark MJ,Pagnon J,Yang WP,He A,Truong A,Patel S,Nelson SF,Horvath S,Berliner JA,Kirchgessner TG,Lusis AJ","EXACT_SOURCE":"Table 1S: module=brown & fold change >= 1.5","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes from the brown module which are up-regulated in HAEC cells (primary aortic endothelium) after exposure to the oxidized 1-palmitoyl-2-arachidonyl-sn-3-glycerophosphorylcholine (oxPAPC).","DESCRIPTION_FULL":"Oxidized phospholipids are thought to promote atherogenesis by stimulating endothelial cells (ECs) to produce inflammatory cytokines, such as IL-8. In studies with mouse models, we previously demonstrated that genetic variation in inflammatory responses of endothelial cells to oxidized lipids contributes importantly to atherosclerosis susceptibility. We now show that similar variations occur in cultured aortic ECs derived from multiple heart transplant donors. These variations were stably maintained between passages and, thus, reflect either genetic or epigenetic regulatory differences. Expression array analysis of aortic EC cultures derived from 12 individuals revealed that >1,000 genes were regulated by oxidized phospholipids. We have used the observed variations in the sampled population to construct a gene coexpression network comprised of 15 modules of highly connected genes. We show that several identified modules are significantly enriched in genes for known pathways and confirm a module enriched for unfolded protein response (UPR) genes using siRNA and the UPR inducer tunicamycin. On the basis of the constructed network, we predicted that a gene of unknown function (MGC4504) present in the UPR module is a target for UPR transcriptional activator ATF4. Our data also indicate that IL-8 is present in the UPR module and is regulated, in part, by the UPR. We validate these by using siRNA. In conclusion, we show that interindividual variability can be used to group genes into pathways and predict gene-gene regulatory relationships, thus identifying targets potentially involved in susceptibility to common diseases such as atherosclerosis."}
{"STANDARD_NAME":"GARGALOVIC_RESPONSE_TO_OXIDIZED_PHOSPHOLIPIDS_TAN_DN","SYSTEMATIC_NAME":"M27966","ORGANISM":"Homo sapiens","PMID":"16912112","AUTHORS":"Gargalovic PS,Imura M,Zhang B,Gharavi NM,Clark MJ,Pagnon J,Yang WP,He A,Truong A,Patel S,Nelson SF,Horvath S,Berliner JA,Kirchgessner TG,Lusis AJ","EXACT_SOURCE":"Table 1S: module=tan & fold change < 0.667","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes from the tan module which are dn-regulated in HAEC cells (primary aortic endothelium) after exposure to the oxidized 1-palmitoyl-2-arachidonyl-sn-3-glycerophosphorylcholine (oxPAPC).","DESCRIPTION_FULL":"Oxidized phospholipids are thought to promote atherogenesis by stimulating endothelial cells (ECs) to produce inflammatory cytokines, such as IL-8. In studies with mouse models, we previously demonstrated that genetic variation in inflammatory responses of endothelial cells to oxidized lipids contributes importantly to atherosclerosis susceptibility. We now show that similar variations occur in cultured aortic ECs derived from multiple heart transplant donors. These variations were stably maintained between passages and, thus, reflect either genetic or epigenetic regulatory differences. Expression array analysis of aortic EC cultures derived from 12 individuals revealed that >1,000 genes were regulated by oxidized phospholipids. We have used the observed variations in the sampled population to construct a gene coexpression network comprised of 15 modules of highly connected genes. We show that several identified modules are significantly enriched in genes for known pathways and confirm a module enriched for unfolded protein response (UPR) genes using siRNA and the UPR inducer tunicamycin. On the basis of the constructed network, we predicted that a gene of unknown function (MGC4504) present in the UPR module is a target for UPR transcriptional activator ATF4. Our data also indicate that IL-8 is present in the UPR module and is regulated, in part, by the UPR. We validate these by using siRNA. In conclusion, we show that interindividual variability can be used to group genes into pathways and predict gene-gene regulatory relationships, thus identifying targets potentially involved in susceptibility to common diseases such as atherosclerosis."}
{"STANDARD_NAME":"GARGALOVIC_RESPONSE_TO_OXIDIZED_PHOSPHOLIPIDS_SALMON_DN","SYSTEMATIC_NAME":"M27967","ORGANISM":"Homo sapiens","PMID":"16912112","AUTHORS":"Gargalovic PS,Imura M,Zhang B,Gharavi NM,Clark MJ,Pagnon J,Yang WP,He A,Truong A,Patel S,Nelson SF,Horvath S,Berliner JA,Kirchgessner TG,Lusis AJ","EXACT_SOURCE":"Table 1S: module=salmon & fold change < 0.667","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes from the salmon module which are dn-regulated in HAEC cells (primary aortic endothelium) after exposure to the oxidized 1-palmitoyl-2-arachidonyl-sn-3-glycerophosphorylcholine (oxPAPC).","DESCRIPTION_FULL":"Oxidized phospholipids are thought to promote atherogenesis by stimulating endothelial cells (ECs) to produce inflammatory cytokines, such as IL-8. In studies with mouse models, we previously demonstrated that genetic variation in inflammatory responses of endothelial cells to oxidized lipids contributes importantly to atherosclerosis susceptibility. We now show that similar variations occur in cultured aortic ECs derived from multiple heart transplant donors. These variations were stably maintained between passages and, thus, reflect either genetic or epigenetic regulatory differences. Expression array analysis of aortic EC cultures derived from 12 individuals revealed that >1,000 genes were regulated by oxidized phospholipids. We have used the observed variations in the sampled population to construct a gene coexpression network comprised of 15 modules of highly connected genes. We show that several identified modules are significantly enriched in genes for known pathways and confirm a module enriched for unfolded protein response (UPR) genes using siRNA and the UPR inducer tunicamycin. On the basis of the constructed network, we predicted that a gene of unknown function (MGC4504) present in the UPR module is a target for UPR transcriptional activator ATF4. Our data also indicate that IL-8 is present in the UPR module and is regulated, in part, by the UPR. We validate these by using siRNA. In conclusion, we show that interindividual variability can be used to group genes into pathways and predict gene-gene regulatory relationships, thus identifying targets potentially involved in susceptibility to common diseases such as atherosclerosis."}
{"STANDARD_NAME":"GARGALOVIC_RESPONSE_TO_OXIDIZED_PHOSPHOLIPIDS_CYAN_UP","SYSTEMATIC_NAME":"M27968","ORGANISM":"Homo sapiens","PMID":"16912112","AUTHORS":"Gargalovic PS,Imura M,Zhang B,Gharavi NM,Clark MJ,Pagnon J,Yang WP,He A,Truong A,Patel S,Nelson SF,Horvath S,Berliner JA,Kirchgessner TG,Lusis AJ","EXACT_SOURCE":"Table 1S: module=cyan & fold change >= 1.5","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes from the cyan module which are up-regulated in HAEC cells (primary aortic endothelium) after exposure to the oxidized 1-palmitoyl-2-arachidonyl-sn-3-glycerophosphorylcholine (oxPAPC).","DESCRIPTION_FULL":"Oxidized phospholipids are thought to promote atherogenesis by stimulating endothelial cells (ECs) to produce inflammatory cytokines, such as IL-8. In studies with mouse models, we previously demonstrated that genetic variation in inflammatory responses of endothelial cells to oxidized lipids contributes importantly to atherosclerosis susceptibility. We now show that similar variations occur in cultured aortic ECs derived from multiple heart transplant donors. These variations were stably maintained between passages and, thus, reflect either genetic or epigenetic regulatory differences. Expression array analysis of aortic EC cultures derived from 12 individuals revealed that >1,000 genes were regulated by oxidized phospholipids. We have used the observed variations in the sampled population to construct a gene coexpression network comprised of 15 modules of highly connected genes. We show that several identified modules are significantly enriched in genes for known pathways and confirm a module enriched for unfolded protein response (UPR) genes using siRNA and the UPR inducer tunicamycin. On the basis of the constructed network, we predicted that a gene of unknown function (MGC4504) present in the UPR module is a target for UPR transcriptional activator ATF4. Our data also indicate that IL-8 is present in the UPR module and is regulated, in part, by the UPR. We validate these by using siRNA. In conclusion, we show that interindividual variability can be used to group genes into pathways and predict gene-gene regulatory relationships, thus identifying targets potentially involved in susceptibility to common diseases such as atherosclerosis."}
{"STANDARD_NAME":"GARGALOVIC_RESPONSE_TO_OXIDIZED_PHOSPHOLIPIDS_LIGHTGREEN_DN","SYSTEMATIC_NAME":"M27969","ORGANISM":"Homo sapiens","PMID":"16912112","AUTHORS":"Gargalovic PS,Imura M,Zhang B,Gharavi NM,Clark MJ,Pagnon J,Yang WP,He A,Truong A,Patel S,Nelson SF,Horvath S,Berliner JA,Kirchgessner TG,Lusis AJ","EXACT_SOURCE":"Table 1S: module=lightgreen & fold change < 0.667","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes from the lightgreen module which are dn-regulated in HAEC cells (primary aortic endothelium) after exposure to the oxidized 1-palmitoyl-2-arachidonyl-sn-3-glycerophosphorylcholine (oxPAPC).","DESCRIPTION_FULL":"Oxidized phospholipids are thought to promote atherogenesis by stimulating endothelial cells (ECs) to produce inflammatory cytokines, such as IL-8. In studies with mouse models, we previously demonstrated that genetic variation in inflammatory responses of endothelial cells to oxidized lipids contributes importantly to atherosclerosis susceptibility. We now show that similar variations occur in cultured aortic ECs derived from multiple heart transplant donors. These variations were stably maintained between passages and, thus, reflect either genetic or epigenetic regulatory differences. Expression array analysis of aortic EC cultures derived from 12 individuals revealed that >1,000 genes were regulated by oxidized phospholipids. We have used the observed variations in the sampled population to construct a gene coexpression network comprised of 15 modules of highly connected genes. We show that several identified modules are significantly enriched in genes for known pathways and confirm a module enriched for unfolded protein response (UPR) genes using siRNA and the UPR inducer tunicamycin. On the basis of the constructed network, we predicted that a gene of unknown function (MGC4504) present in the UPR module is a target for UPR transcriptional activator ATF4. Our data also indicate that IL-8 is present in the UPR module and is regulated, in part, by the UPR. We validate these by using siRNA. In conclusion, we show that interindividual variability can be used to group genes into pathways and predict gene-gene regulatory relationships, thus identifying targets potentially involved in susceptibility to common diseases such as atherosclerosis."}
{"STANDARD_NAME":"CASTELLANO_HRAS_TARGETS_UP","SYSTEMATIC_NAME":"M1907","ORGANISM":"Mus musculus","PMID":"16909116","AUTHORS":"Castellano E,De Las Rivas J,Guerrero C,Santos E","EXACT_SOURCE":"Table 1: delta(i) > 0","CHIP":"AFFY_MG_U74","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in MEF cells (embryonic fibroblast) isolated from HRAS [GeneID=3265] knockout mice.","DESCRIPTION_FULL":"We characterized differential gene expression profiles of fibroblast cell lines harboring single or double-homozygous null mutations in H-ras and N-ras. Whereas the expression level of the individual H-, N- and K-ras genes appeared unaffected by the presence or absence of the other ras loci, significant differences were observed between the expression profiles of cells missing N-ras and/or H-ras. Absence of N-ras produced much stronger effects than absence of H-ras over the profile of the cellular transcriptome. N-ras(-/-) and H-ras(-/-) fibroblasts displayed rather antagonistic expression profiles and the transcriptome of H-ras(-/-) cells was significantly closer to that of wild-type fibroblasts than to that of N-ras(-/-) cells. Classifying all differentially expressed genes into functional categories suggested specific roles for H-Ras and N-Ras. It was particularly striking in N-ras(-/-) cells the upregulation of a remarkable number of immunity-related genes, as well as of several loci involved in apoptosis. Reverse-phase protein array assays demonstrated in the same N-ras(-/-) cells the overexpression and nuclear migration of tyrosine phosphorylated signal transducer and activator of transcription 1 (Stat1) which was concomitant with transcriptional activation mediated by interferon-stimulated response elements. Significantly enhanced numbers of apoptotic cells were also detected in cultures of N-ras(-/-) cells. Our data support the notion that different Ras isoforms play functionally distinct cellular roles and indicate that N-Ras is significantly involved in immune modulation/host defense and apoptotic responses."}
{"STANDARD_NAME":"WIEMANN_TELOMERE_SHORTENING_AND_CHRONIC_LIVER_DAMAGE_DN","SYSTEMATIC_NAME":"M1244","ORGANISM":"Mus musculus","PMID":"15608677","AUTHORS":"Wiemann SU,Satyanarayana A,Buer J,Kamino K,Manns MP,Rudolph KL","EXACT_SOURCE":"Table 1","CHIP":"MOUSE_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Leona Saunders","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes down-regulated by telomere shortening due to the knockout of TERC [GeneID=7012] in the presence of chronic liver damage.","DESCRIPTION_FULL":"Telomere shortening limits the regenerative capacity of cells during aging and chronic disease but at the same time inhibits tumor progression, and it has yet to be determined which of these mechanisms is dominantly affecting organismal survival. Here we show that telomere shortening in telomerase knockout (mTERC-/-) mice in combination with chronic liver damage significantly reduced organismal survival even though telomere shortening strongly inhibited liver tumor formation. Decreased survival induced by telomere shortening correlated with an imbalance between liver cell proliferation and liver cell apoptosis. Specific changes in gene expression were associated with telomere shortening and chronic liver damage and these gene expression changes were partially reversed by adenovirus mediated telomerase gene delivery. This study gives experimental evidence that the negative impact of telomere shortening on organ homeostasis and organismal survival can surpass the beneficial effects of telomere shortening on suppression of tumor growth in the setting of chronic organ damage."}
{"STANDARD_NAME":"BIERIE_INFLAMMATORY_RESPONSE_TGFB1","SYSTEMATIC_NAME":"M778","ORGANISM":"Mus musculus","PMID":"18339861","AUTHORS":"Bierie B,Stover DG,Abel TW,Chytil A,Gorska AE,Aakre M,Forrester E,Yang L,Wagner KU,Moses HL","EXACT_SOURCE":"Figure 5A","CHIP":"AFFY_Mouse430","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Inflammatory genes down-regulated in mammary carcinoma cells after stimulation with TGFB1 [GeneID=7040] for 1 hr.","DESCRIPTION_FULL":"Transforming growth factor (TGF)-beta signaling has been associated with early tumor suppression and late tumor progression; however, many of the mechanisms that mediate these processes are not known. Using Cre/LoxP technology, with the whey acidic protein promoter driving transgenic expression of Cre recombinase (WAP-Cre), we have now ablated the type II TGF-beta receptor (T beta RII) expression specifically within mouse mammary alveolar progenitors. Transgenic expression of the polyoma virus middle T antigen, under control of the mouse mammary tumor virus enhancer/promoter, was used to produce mammary tumors in the absence or presence of Cre (T beta RII((fl/fl);PY) and T beta RII((fl/fl);PY;WC), respectively). The loss of TGF-beta signaling significantly decreased tumor latency and increased the rate of pulmonary metastasis. The loss of TGF-beta signaling was significantly correlated with increased tumor size and enhanced carcinoma cell survival. In addition, we observed significant differences in stromal fibrovascular abundance and composition accompanied by increased recruitment of F4/80(+) cell populations in T beta RII((fl/fl);PY;WC) mice when compared with T beta RII((fl/fl);PY) controls. The recruitment of F4/80(+) cells correlated with increased expression of known inflammatory genes including Cxcl1, Cxcl5, and Ptgs2 (cyclooxygenase-2). Notably, we also identified an enriched K5(+) dNp63(+) cell population in primary T beta RII((fl/fl);PY;WC) tumors and corresponding pulmonary metastases, suggesting that loss of TGF-beta signaling in this subset of carcinoma cells can contribute to metastasis. Together, our current results indicate that loss of TGF-beta signaling in mammary alveolar progenitors may affect tumor initiation, progression, and metastasis through regulation of both intrinsic cell signaling and adjacent stromal-epithelial interactions in vivo."}
{"STANDARD_NAME":"NICK_RESPONSE_TO_PROC_TREATMENT_UP","SYSTEMATIC_NAME":"M16154","ORGANISM":"Homo sapiens","PMID":"15339848","AUTHORS":"Nick JA,Coldren CD,Geraci MW,Poch KR,Fouty BW,O'Brien J,Gruber M,Zarini S,Murphy RC,Kuhn K,Richter D,Kast KR,Abraham E","EXACT_SOURCE":"Table 1","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Arthur Liberzon","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in neutrophils upon treatment with activated protein C (PROC) [GeneID=5624] of pulmonary inflammation induced by bacterial lipopolysaccharide (LPS).","DESCRIPTION_FULL":"Recombinant human activated protein C (rhAPC) is a natural anticoagulant with potentially important anti-inflammatory properties. In humans with severe sepsis, rhAPC treatment reduces mortality, but mechanisms responsible have not been well characterized. Accumulation of activated neutrophils in the lungs and other organs during severe infection contributes to sepsis-induced organ dysfunction, including acute inflammatory lung injury. Because neutrophils express an APC receptor, we hypothesized that immunomodulatory effects of rhAPC occur, in part, via modulation of neutrophil responses. To examine this issue, we performed a double-blinded, placebo-controlled study of rhAPC in a human model of endotoxin-induced pulmonary inflammation. Administration of rhAPC significantly reduced leukocyte accumulation to the airspaces, independent of pulmonary cytokine or chemokine release. Neutrophils recovered from bronchoalveolar lavage fluid of volunteers receiving rhAPC demonstrated decreased chemotaxis ex vivo. Decreased neutrophil chemotaxis following exposure to rhAPC was confirmed in vitro. No differences were detected in gene expression, kinase activation, cytokine release, cell survival, or apoptosis of neutrophils recovered in the presence or absence of rhAPC. These studies demonstrate that rhAPC reduces both endotoxin-induced accumulation of leukocytes in the airspaces and neutrophil chemotaxis. These rhAPC-induced effects on neutrophil function may represent a mechanism by which rhAPC improves survival in patients with sepsis."}
{"STANDARD_NAME":"MALTA_CURATED_STEMNESS_MARKERS","SYSTEMATIC_NAME":"M30411","ORGANISM":"Homo sapiens","PMID":"29625051","EXACT_SOURCE":"Table S2: List of published stem cell markers (healthy and cancer)","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Literature curated collection of genes marking normal and cancer stem cells."}
{"STANDARD_NAME":"DESERT_PERIPORTAL_HEPATOCELLULAR_CARCINOMA_SUBCLASS_UP","SYSTEMATIC_NAME":"M34031","ORGANISM":"Homo sapiens","PMID":"28498607","EXACT_SOURCE":"Fig. 1B & Supplemental Table 2.","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Orlando Musso","CONTRIBUTOR_ORG":"INSERM (Institut National de la Santé et de la Recherche Médicale), France.","DESCRIPTION_BRIEF":"Genes up-regulated in the periportal-type subclass of hepatocellular carcinomas. Sets created as part of a metaanalysis of nine public transcriptomic datasets merged into a metadataset including 1133 human hepatocellular carcinomas obtained after curative resection. For platform descriptions of each one of the 9 datasets, see Figure 1B in Désert et al., Hepatology (2017), 66: 1502-1518.","DESCRIPTION_FULL":"Hepatocellular carcinomas (HCCs) exhibit a diversity of molecular phenotypes, raising major challenges in clinical management. HCCs detected by surveillance programs at an early stage are candidates for potentially curative therapies (local ablation, resection or transplantation). In the long term, transplantation provides the lowest recurrence rates. Treatment allocation is based on tumor number, size, vascular invasion, performance status, functional liver reserve and on the prediction of early (< 2 years) recurrence, which reflects the intrinsic aggressiveness of the tumor. Well-differentiated, potentially low-aggressiveness tumors form the heterogeneous molecular class of non-proliferative HCCs, characterized by an approximate 50% beta-catenin (CTNNB1) mutation rate. To define the clinical, pathological, molecular features and the outcome of non-proliferative HCCs, we constructed an 1133-HCC transcriptomic metadata set and validated findings in a publically available 210-HCC RNAseq set. We show that non-proliferative HCCs preserve the zonation program that distributes metabolic functions along the porto-central axis in normal liver. More precisely, we identified two well-differentiated, non-proliferation subclasses, namely Periportal-type (wild-type CTNNB1) and Perivenous-type (mutant CTNNB1), which expressed negatively correlated gene networks. The new Periportal-type subclass represented 29% of all HCCs; expressed an HNF4A-driven gene network, which was down-regulated in mouse Hnf4a-KO mice; were early-stage tumors by BCLC, CLIP and TNM staging systems; had no macrovascular invasion and showed the lowest metastasis-specific gene expression levels and TP53 mutation rates. Also, we identified an 8-gene Periportal-type HCC signature, which was independently associated with the highest 2-year recurrence-free survival by multivariate analyses in two independent cohorts of 247 and 210 patients. Conclusion: Well-differentiated HCCs display mutually exclusive periportal or perivenous zonation programs. Among all HCCs, Periportal-type tumors have the lowest intrinsic potential for early recurrence after curative resection."}
{"STANDARD_NAME":"DESERT_PERIVENOUS_HEPATOCELLULAR_CARCINOMA_SUBCLASS_UP","SYSTEMATIC_NAME":"M34032","ORGANISM":"Homo sapiens","PMID":"28498607","EXACT_SOURCE":"Fig. 1B & Supplemental Table 2.","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Orlando Musso","CONTRIBUTOR_ORG":"INSERM (Institut National de la Santé et de la Recherche Médicale), France. ","DESCRIPTION_BRIEF":"Genes up-regulated in the perivenous-type subclass of hepatocellular carcinomas. Sets created as part of a metaanalysis of nine public transcriptomic datasets merged into a metadataset including 1133 human hepatocellular carcinomas obtained after curative resection. For platform descriptions of each one of the 9 datasets, see Figure 1B in Désert et al., Hepatology (2017), 66: 1502-1518.","DESCRIPTION_FULL":"Hepatocellular carcinomas (HCCs) exhibit a diversity of molecular phenotypes, raising major challenges in clinical management. HCCs detected by surveillance programs at an early stage are candidates for potentially curative therapies (local ablation, resection or transplantation). In the long term, transplantation provides the lowest recurrence rates. Treatment allocation is based on tumor number, size, vascular invasion, performance status, functional liver reserve and on the prediction of early (< 2 years) recurrence, which reflects the intrinsic aggressiveness of the tumor. Well-differentiated, potentially low-aggressiveness tumors form the heterogeneous molecular class of non-proliferative HCCs, characterized by an approximate 50% beta-catenin (CTNNB1) mutation rate. To define the clinical, pathological, molecular features and the outcome of non-proliferative HCCs, we constructed an 1133-HCC transcriptomic metadata set and validated findings in a publically available 210-HCC RNAseq set. We show that non-proliferative HCCs preserve the zonation program that distributes metabolic functions along the porto-central axis in normal liver. More precisely, we identified two well-differentiated, non-proliferation subclasses, namely Periportal-type (wild-type CTNNB1) and Perivenous-type (mutant CTNNB1), which expressed negatively correlated gene networks. The new Periportal-type subclass represented 29% of all HCCs; expressed an HNF4A-driven gene network, which was down-regulated in mouse Hnf4a-KO mice; were early-stage tumors by BCLC, CLIP and TNM staging systems; had no macrovascular invasion and showed the lowest metastasis-specific gene expression levels and TP53 mutation rates. Also, we identified an 8-gene Periportal-type HCC signature, which was independently associated with the highest 2-year recurrence-free survival by multivariate analyses in two independent cohorts of 247 and 210 patients. Conclusion: Well-differentiated HCCs display mutually exclusive periportal or perivenous zonation programs. Among all HCCs, Periportal-type tumors have the lowest intrinsic potential for early recurrence after curative resection."}
{"STANDARD_NAME":"DESERT_EXTRACELLULAR_MATRIX_HEPATOCELLULAR_CARCINOMA_SUBCLASS_UP","SYSTEMATIC_NAME":"M34033","ORGANISM":"Homo sapiens","PMID":"28498607","EXACT_SOURCE":"Fig. 1B & Supplemental Table 2.","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Orlando Musso","CONTRIBUTOR_ORG":"INSERM (Institut National de la Santé et de la Recherche Médicale), France. ","DESCRIPTION_BRIEF":"Genes up-regulated in the extracellular matrix-type subclass of hepatocellular carcinomas. Sets created as part of a metaanalysis of nine public transcriptomic datasets merged into a metadataset including 1133 human hepatocellular carcinomas obtained after curative resection. For platform descriptions of each one of the 9 datasets, see Figure 1B in Désert et al., Hepatology (2017), 66: 1502-1518.","DESCRIPTION_FULL":"Hepatocellular carcinomas (HCCs) exhibit a diversity of molecular phenotypes, raising major challenges in clinical management. HCCs detected by surveillance programs at an early stage are candidates for potentially curative therapies (local ablation, resection or transplantation). In the long term, transplantation provides the lowest recurrence rates. Treatment allocation is based on tumor number, size, vascular invasion, performance status, functional liver reserve and on the prediction of early (< 2 years) recurrence, which reflects the intrinsic aggressiveness of the tumor. Well-differentiated, potentially low-aggressiveness tumors form the heterogeneous molecular class of non-proliferative HCCs, characterized by an approximate 50% beta-catenin (CTNNB1) mutation rate. To define the clinical, pathological, molecular features and the outcome of non-proliferative HCCs, we constructed an 1133-HCC transcriptomic metadata set and validated findings in a publically available 210-HCC RNAseq set. We show that non-proliferative HCCs preserve the zonation program that distributes metabolic functions along the porto-central axis in normal liver. More precisely, we identified two well-differentiated, non-proliferation subclasses, namely Periportal-type (wild-type CTNNB1) and Perivenous-type (mutant CTNNB1), which expressed negatively correlated gene networks. The new Periportal-type subclass represented 29% of all HCCs; expressed an HNF4A-driven gene network, which was down-regulated in mouse Hnf4a-KO mice; were early-stage tumors by BCLC, CLIP and TNM staging systems; had no macrovascular invasion and showed the lowest metastasis-specific gene expression levels and TP53 mutation rates. Also, we identified an 8-gene Periportal-type HCC signature, which was independently associated with the highest 2-year recurrence-free survival by multivariate analyses in two independent cohorts of 247 and 210 patients. Conclusion: Well-differentiated HCCs display mutually exclusive periportal or perivenous zonation programs. Among all HCCs, Periportal-type tumors have the lowest intrinsic potential for early recurrence after curative resection."}
{"STANDARD_NAME":"DESERT_STEM_CELL_HEPATOCELLULAR_CARCINOMA_SUBCLASS_UP","SYSTEMATIC_NAME":"M34034","ORGANISM":"Homo sapiens","PMID":"28498607","EXACT_SOURCE":"Fig. 1B & Supplemental Table 2.","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Orlando Musso","CONTRIBUTOR_ORG":"INSERM (Institut National de la Santé et de la Recherche Médicale), France. ","DESCRIPTION_BRIEF":"Genes up-regulated in the stem cell-type subclass of hepatocellular carcinomas. Sets created as part of a metaanalysis of nine public transcriptomic datasets merged into a metadataset including 1133 human hepatocellular carcinomas obtained after curative resection. For platform descriptions of each one of the 9 datasets, see Figure 1B in Désert et al., Hepatology (2017), 66: 1502-1518.","DESCRIPTION_FULL":"Hepatocellular carcinomas (HCCs) exhibit a diversity of molecular phenotypes, raising major challenges in clinical management. HCCs detected by surveillance programs at an early stage are candidates for potentially curative therapies (local ablation, resection or transplantation). In the long term, transplantation provides the lowest recurrence rates. Treatment allocation is based on tumor number, size, vascular invasion, performance status, functional liver reserve and on the prediction of early (< 2 years) recurrence, which reflects the intrinsic aggressiveness of the tumor. Well-differentiated, potentially low-aggressiveness tumors form the heterogeneous molecular class of non-proliferative HCCs, characterized by an approximate 50% beta-catenin (CTNNB1) mutation rate. To define the clinical, pathological, molecular features and the outcome of non-proliferative HCCs, we constructed an 1133-HCC transcriptomic metadata set and validated findings in a publically available 210-HCC RNAseq set. We show that non-proliferative HCCs preserve the zonation program that distributes metabolic functions along the porto-central axis in normal liver. More precisely, we identified two well-differentiated, non-proliferation subclasses, namely Periportal-type (wild-type CTNNB1) and Perivenous-type (mutant CTNNB1), which expressed negatively correlated gene networks. The new Periportal-type subclass represented 29% of all HCCs; expressed an HNF4A-driven gene network, which was down-regulated in mouse Hnf4a-KO mice; were early-stage tumors by BCLC, CLIP and TNM staging systems; had no macrovascular invasion and showed the lowest metastasis-specific gene expression levels and TP53 mutation rates. Also, we identified an 8-gene Periportal-type HCC signature, which was independently associated with the highest 2-year recurrence-free survival by multivariate analyses in two independent cohorts of 247 and 210 patients. Conclusion: Well-differentiated HCCs display mutually exclusive periportal or perivenous zonation programs. Among all HCCs, Periportal-type tumors have the lowest intrinsic potential for early recurrence after curative resection."}
{"STANDARD_NAME":"JINESH_BLEBBISHIELD_TO_IMMUNE_CELL_FUSION_PBSHMS_DN","SYSTEMATIC_NAME":"M38970","ORGANISM":"Homo sapiens","PMID":"28855211","GEOID":"GSE98980","EXACT_SOURCE":"Supplementary table-2 & Figure-3D Genes Downregulated in PBSHMS (blebbishield-to-immune cell fusion) Log2Fold change <0.6","CHIP":"Human_ILLUMINA_Array","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Goodwin G. Jinesh and Ashish M. Kamat","CONTRIBUTOR_ORG":"UT MD Anderson Cancer Center","DESCRIPTION_BRIEF":"Genes Downregulated in PBSHMS (RT4 blebbishield-to-immune cell fusion)","DESCRIPTION_FULL":"Apoptosis is a process that kills cells. However, cancer stem cells find ways to escape death after commencement of apoptosis. One such mechanism is blebbishield emergency program, in which the apoptotic cancer stem cells first undergo apoptotic body formation but then reassemble apoptotic bodies with main body (nuclei containing) of the apoptotic cells to form spherical to elongated structures called blebbishields. Blebbishields in turn are capable of blebbishield-blebbishield fusion to form transformed stem cell spheres (transformation phase) and then give rise to individual cancer cells from spheres (exit phase). Blebbishields are also capable of fusion with immune cells. The resulting hybrids are called PBSHMS cells in this study. We did microarray analysis of live RT4 cells, and hybrid PBSHMS cells. This data set is a comparison of RT4 cells, and hybrid PBSHMS cells and the gene list includes the genes that are downregulated in blebbishield-immune cells hybrids (PBSHMS). A separate set is provided for upregulated gene list too. "}
{"STANDARD_NAME":"JINESH_BLEBBISHIELD_TRANSFORMED_STEM_CELL_SPHERES_UP","SYSTEMATIC_NAME":"M38971","ORGANISM":"Homo sapiens","PMID":"28855211","GEOID":"GSE98980","EXACT_SOURCE":"Supplementary table-1 & Figure-2B Genes Upregulated in transformed stem cell spheres Log2Fold change >1.0","CHIP":"Human_ILLUMINA_Array","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Goodwin G. Jinesh and Ashish M. Kamat","CONTRIBUTOR_ORG":"UT MD Anderson Cancer Center","DESCRIPTION_BRIEF":"Genes up-regulated in transformed spheres compared to blebbishields from RT4 cells","DESCRIPTION_FULL":"Apoptosis is a process that kills cells. However, cancer stem cells find ways to escape death after commencement of apoptosis. One such mechanism is blebbishield emergency program, in which the apoptotic cancer stem cells first undergo apoptotic body formation but then reassemble apoptotic bodies with main body (nuclei containing) of the apoptotic cells to form spherical to elongated structures called blebbishields. Blebbishields in turn are capable of blebbishield-blebbishield fusion to form transformed stem cell spheres (transformation phase) and then give rise to individual cancer cells from spheres (exit phase). We identified blebbishield emergency program in RT4 bladder cancer cells (RT4P=P stands for parental) and did microarray analysis of live RT4P cells, blebbishields and transformed spheres. This data set is a comparison of blebbishields with transformed spheres and the gene list includes the genes that are upregulated in transformed spheres. A separate set is provided for downregulated gene list too. In addition we provide separate gene lists for upregulated and downregulated gene lists for blebbishields compared to RT4 live cells. "}
{"STANDARD_NAME":"JINESH_BLEBBISHIELD_TO_IMMUNE_CELL_FUSION_PBSHMS_UP","SYSTEMATIC_NAME":"M38972","ORGANISM":"Homo sapiens","PMID":"28855211","GEOID":"GSE98980","EXACT_SOURCE":"Supplementary table-2 & Figure-3D Genes Upregulated in PBSHMS (blebbishield-to-immune cell fusion) Log2Fold change >0.6","CHIP":"Human_ILLUMINA_Array","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Goodwin G. Jinesh and Ashish M. Kamat","CONTRIBUTOR_ORG":"UT MD Anderson Cancer Center","DESCRIPTION_BRIEF":"Genes Upregulated in PBSHMS (RT4 blebbishield-to-immune cell fusion)","DESCRIPTION_FULL":"Apoptosis is a process that kills cells. However, cancer stem cells find ways to escape death after commencement of apoptosis. One such mechanism is blebbishield emergency program, in which the apoptotic cancer stem cells first undergo apoptotic body formation but then reassemble apoptotic bodies with main body (nuclei containing) of the apoptotic cells to form spherical to elongated structures called blebbishields. Blebbishields in turn are capable of blebbishield-blebbishield fusion to form transformed stem cell spheres (transformation phase) and then give rise to individual cancer cells from spheres (exit phase). Blebbishields are also capable of fusion with immune cells. The resulting hybrids are called PBSHMS cells in this study. We did microarray analysis of live RT4P cells, and hybrid PBSHMS cells. This data set is a comparison of RT4P cells, and hybrid PBSHMS cells and the gene list includes the genes that are upregulated in blebbishield-immune cells hybrids (PBSHMS). A separate set is provided for downregulated gene list too. "}
{"STANDARD_NAME":"JINESH_BLEBBISHIELD_VS_LIVE_CONTROL_DN","SYSTEMATIC_NAME":"M38973","ORGANISM":"Homo sapiens","PMID":"28855211","GEOID":"GSE98980","EXACT_SOURCE":"Figure-2B: Genes downregulated in blebbishields Log2Fold change <1.0","CHIP":"Human_ILLUMINA_Array","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Goodwin G. Jinesh and Ashish M. Kamat","CONTRIBUTOR_ORG":"UT MD Anderson Cancer Center","DESCRIPTION_BRIEF":"Genes down-regulated in blebbishields compared to control RT4 live cells","DESCRIPTION_FULL":"Apoptosis is a process that kills cells. However, cancer stem cells find ways to escape death after commencement of apoptosis. One such mechanism is blebbishield emergency program, in which the apoptotic cancer stem cells first undergo apoptotic body formation but then reassemble apoptotic bodies with main body (nuclei containing) of the apoptotic cells to form spherical to elongated structures called blebbishields. Blebbishields in turn are capable of blebbishield-blebbishield fusion to form transformed stem cell spheres (transformation phase) and then give rise to individual cancer cells from spheres (exit phase). We identified blebbishield emergency program in RT4 bladder cancer cells (RT4P=parental) and did microarray analysis of live RT4P cells, blebbishields and transformed spheres. This data set is a comparison of RT4P live cells with blebbishields and the gene list includes the genes that are downregulated in blebbishields. A separate set is provided for upregulated gene list too. In addition we provide separate gene lists for upregulated and downregulated gene lists for transformed spheres compared to blebbishields. "}
{"STANDARD_NAME":"JINESH_BLEBBISHIELD_VS_LIVE_CONTROL_UP","SYSTEMATIC_NAME":"M38974","ORGANISM":"Homo sapiens","PMID":"28855211","GEOID":"GSE98980","EXACT_SOURCE":"Figure-2B: Genes Upregulated in blebbishields Log2Fold change >1.0","CHIP":"Human_ILLUMINA_Array","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Goodwin G. Jinesh and Ashish M. Kamat","CONTRIBUTOR_ORG":"UT MD Anderson Cancer Center","DESCRIPTION_BRIEF":"Genes up-regulated in blebbishields compared to control RT4 live cells","DESCRIPTION_FULL":"Apoptosis is a process that kills cells. However, cancer stem cells find ways to escape death after commencement of apoptosis. One such mechanism is blebbishield emergency program, in which the apoptotic cancer stem cells first undergo apoptotic body formation but then reassemble apoptotic bodies with main body (nuclei containing) of the apoptotic cells to form spherical to elongated structures called blebbishields. Blebbishields in turn are capable of blebbishield-blebbishield fusion to form transformed stem cell spheres (transformation phase) and then give rise to individual cancer cells from spheres (exit phase). We identified blebbishield emergency program in RT4 bladder cancer cells (RT4P=parental) and did microarray analysis of live RT4P cells, blebbishields and transformed spheres. This data set is a comparison of RT4P live cells with blebbishields and the gene list includes the genes that are upregulated in blebbishields. A separate set is provided for downregulated gene list too. In addition we provide separate gene lists for upregulated and downregulated gene lists for transformed spheres compared to blebbishields. "}
{"STANDARD_NAME":"JINESH_BLEBBISHIELD_TRANSFORMED_STEM_CELL_SPHERES_DN","SYSTEMATIC_NAME":"M38975","ORGANISM":"Homo sapiens","PMID":"28855211","GEOID":"GSE98980","EXACT_SOURCE":"Supplementary Table-1 & Figure-2B Genes Downregulated in transformed stem cell spheres Log2Fold change <1.0","CHIP":"Human_ILLUMINA_Array","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Goodwin G. Jinesh and Ashish M. Kamat","CONTRIBUTOR_ORG":"UT MD Anderson Cancer Center","DESCRIPTION_BRIEF":"Genes Down-regulated in transformed spheres compared to blebbishields from RT4 cells","DESCRIPTION_FULL":"Apoptosis is a process that kills cells. However, cancer stem cells find ways to escape death after commencement of apoptosis. One such mechanism is blebbishield emergency program, in which the apoptotic cancer stem cells first undergo apoptotic body formation but then reassemble apoptotic bodies with main body (nuclei containing) of the apoptotic cells to form spherical to elongated structures called blebbishields. Blebbishields in turn are capable of blebbishield-blebbishield fusion to form transformed stem cell spheres (transformation phase) and then give rise to individual cancer cells from spheres (exit phase). We identified blebbishield emergency program in RT4 bladder cancer cells (RT4P=P stands for parental) and did microarray analysis of live RT4P cells, blebbishields and transformed spheres. This data set is a comparison of blebbishields with transformed spheres and the gene list includes the genes that are downregulated in transformed spheres. A separate set is provided for upregulated gene list too. In addition we provide separate gene lists for upregulated and downregulated gene lists for blebbishields compared to RT4 live cells. "}
{"STANDARD_NAME":"MANNE_COVID19_NONICU_VS_HEALTHY_DONOR_PLATELETS_UP","SYSTEMATIC_NAME":"M38976","ORGANISM":"Homo sapiens","PMID":"32573711","EXACT_SOURCE":"Supplemental Table 1: Platelet differential gene expression analysis from hospitalized non-ICU COVID-19 patients. Genes with Log2(FC)>2, pAdj<0.05.","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Strongly upregulated genes from differential gene expression analysis of platelets from 6 Non-ICU patients with SARS-CoV-2 infection as well as 5 healthy donors.","DESCRIPTION_FULL":"Thrombotic complications in patients with COVID-19 are common and contribute to organ failure and mortality. Patients with severe COVID-19 present with hemostatic abnormalities that mimic disseminated intravascular coagulopathy associated with sepsis with the major difference being increased risk of thrombosis rather than bleeding. However, whether SARS-CoV-2 infection alters platelet function to contribute to the pathophysiology of COVID-19 remains unknown. In this study, we report altered platelet gene expression and functional responses in patients infected with SARS-CoV-2."}
{"STANDARD_NAME":"MANNE_COVID19_NONICU_VS_HEALTHY_DONOR_PLATELETS_DN","SYSTEMATIC_NAME":"M38977","ORGANISM":"Homo sapiens","PMID":"32573711","EXACT_SOURCE":"Supplemental Table 1: Platelet differential gene expression analysis from hospitalized non-ICU COVID-19 patients. Genes with Log2(FC)<-2, pAdj<0.05.","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Strongly downregulated genes from differential gene expression analysis of platelets from 6 Non-ICU patients with SARS-CoV-2 infection as well as 5 healthy donors.","DESCRIPTION_FULL":"Thrombotic complications in patients with COVID-19 are common and contribute to organ failure and mortality. Patients with severe COVID-19 present with hemostatic abnormalities that mimic disseminated intravascular coagulopathy associated with sepsis with the major difference being increased risk of thrombosis rather than bleeding. However, whether SARS-CoV-2 infection alters platelet function to contribute to the pathophysiology of COVID-19 remains unknown. In this study, we report altered platelet gene expression and functional responses in patients infected with SARS-CoV-2."}
{"STANDARD_NAME":"MANNE_COVID19_ICU_VS_HEALTHY_DONOR_PLATELETS_UP","SYSTEMATIC_NAME":"M38978","ORGANISM":"Homo sapiens","PMID":"32573711","EXACT_SOURCE":"Supplemental Table 2. Platelet differential gene expression analysis from ICU COVID-19 patients. Genes with Log2(FC)>2, pAdj<0.05.","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Strongly upregulated genes from differential gene expression analysis of platelets from 4 ICU patients with SARS-CoV-2 infection as well as 5 healthy donors.","DESCRIPTION_FULL":"Thrombotic complications in patients with COVID-19 are common and contribute to organ failure and mortality. Patients with severe COVID-19 present with hemostatic abnormalities that mimic disseminated intravascular coagulopathy associated with sepsis with the major difference being increased risk of thrombosis rather than bleeding. However, whether SARS-CoV-2 infection alters platelet function to contribute to the pathophysiology of COVID-19 remains unknown. In this study, we report altered platelet gene expression and functional responses in patients infected with SARS-CoV-2."}
{"STANDARD_NAME":"MANNE_COVID19_ICU_VS_HEALTHY_DONOR_PLATELETS_DN","SYSTEMATIC_NAME":"M38979","ORGANISM":"Homo sapiens","PMID":"32573711","EXACT_SOURCE":"Supplemental Table 2. Platelet differential gene expression analysis from ICU COVID-19 patients. Genes with Log2(FC)<-2, pAdj<0.05.","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Strongly downregualted genes from differential gene expression analysis of platelets from 4 ICU patients with SARS-CoV-2 infection as well as 5 healthy donors.","DESCRIPTION_FULL":"Thrombotic complications in patients with COVID-19 are common and contribute to organ failure and mortality. Patients with severe COVID-19 present with hemostatic abnormalities that mimic disseminated intravascular coagulopathy associated with sepsis with the major difference being increased risk of thrombosis rather than bleeding. However, whether SARS-CoV-2 infection alters platelet function to contribute to the pathophysiology of COVID-19 remains unknown. In this study, we report altered platelet gene expression and functional responses in patients infected with SARS-CoV-2."}
{"STANDARD_NAME":"MANNE_COVID19_COMBINED_COHORT_VS_HEALTHY_DONOR_PLATELETS_UP","SYSTEMATIC_NAME":"M38980","ORGANISM":"Homo sapiens","PMID":"32573711","EXACT_SOURCE":"Supplemental Table 4. Platelet differential gene expression analysis from COVID-19 patients. Genes with Log2(FC)<-2, pAdj<0.05.","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Strongly upregulated genes from differential gene expression analysis of platelets from 10 combined ICU and Non-ICU COVID-19 patients and, for comparison, 5 healthy donors","DESCRIPTION_FULL":"Thrombotic complications in patients with COVID-19 are common and contribute to organ failure and mortality. Patients with severe COVID-19 present with hemostatic abnormalities that mimic disseminated intravascular coagulopathy associated with sepsis with the major difference being increased risk of thrombosis rather than bleeding. However, whether SARS-CoV-2 infection alters platelet function to contribute to the pathophysiology of COVID-19 remains unknown. In this study, we report altered platelet gene expression and functional responses in patients infected with SARS-CoV-2."}
{"STANDARD_NAME":"MANNE_COVID19_COMBINED_COHORT_VS_HEALTHY_DONOR_PLATELETS_DN","SYSTEMATIC_NAME":"M38981","ORGANISM":"Homo sapiens","PMID":"32573711","EXACT_SOURCE":"Supplemental Table 4. Platelet differential gene expression analysis from COVID-19 patients. Genes with Log2(FC)<-2, pAdj<0.05.","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Strongly downregulated genes from differential gene expression analysis of platelets from 10 combined ICU and Non-ICU COVID-19 patients and, for comparison, 5 healthy donors","DESCRIPTION_FULL":"Thrombotic complications in patients with COVID-19 are common and contribute to organ failure and mortality. Patients with severe COVID-19 present with hemostatic abnormalities that mimic disseminated intravascular coagulopathy associated with sepsis with the major difference being increased risk of thrombosis rather than bleeding. However, whether SARS-CoV-2 infection alters platelet function to contribute to the pathophysiology of COVID-19 remains unknown. In this study, we report altered platelet gene expression and functional responses in patients infected with SARS-CoV-2."}
{"STANDARD_NAME":"MEBARKI_HCC_PROGENITOR_WNT_UP","SYSTEMATIC_NAME":"M38982","ORGANISM":"Homo sapiens","PMID":"27191501","GEOID":"GSE68633","EXACT_SOURCE":"Supplementary Table 3A, in Mebarki et al., Oncotarget (2016), 7: 39026 - 39043","CHIP":"Human_AGILENT_Array","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Orlando Musso","CONTRIBUTOR_ORG":"INSERM (Institut National de la Sant� et de la Recherche M�dicale), France. ","DESCRIPTION_BRIEF":"Transcriptome of human HepaRG hepatocellular carcinoma liver progenitors in responses to a WNT3A-enriched microenvironment and dissection of pathways dependent on _-catenin and/or blocked by the SFRP-like Wnt inhibitor FZD8_CRD.","DESCRIPTION_FULL":"Methods: Liver progenitor cells were incubated in a WNT-enriched microenvironment for 72hrs (200 ng/ml mouse recombinant purified Wnt3A from R&D Systems). Gene pathways dependent on downstream _-catenin were studied by _-catenin knockdown with specific siRNA. Gene pathways blocked by extracellular SFRP-like Wnt inhibitors were studied by co-incubating cells with recombinant purified FZD8_CRD (300 ng/ml, from R&D Systems). Independent culture experiments performed in triplicate include untreated cells or cells incubated with scrambled siRNA or with _-catenin-specific siRNA or with FZD8_CRD, alone or in combination with Wnt3A. "}
{"STANDARD_NAME":"MEBARKI_HCC_PROGENITOR_WNT_DN","SYSTEMATIC_NAME":"M38983","ORGANISM":"Homo sapiens","PMID":"27191501","GEOID":"GSE68633","EXACT_SOURCE":"Supplementary Table 3A, in Mebarki et al., Oncotarget (2016), 7: 39026 - 39043","CHIP":"Human_AGILENT_Array","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Orlando Musso","CONTRIBUTOR_ORG":"INSERM (Institut National de la Sant� et de la Recherche M�dicale), France. ","DESCRIPTION_BRIEF":"Transcriptome of human HepaRG hepatocellular carcinoma liver progenitors in responses to a WNT3A-enriched microenvironment and dissection of pathways dependent on _-catenin and/or blocked by the SFRP-like Wnt inhibitor FZD8_CRD.","DESCRIPTION_FULL":"Methods: Liver progenitor cells were incubated in a WNT-enriched microenvironment for 72hrs (200 ng/ml mouse recombinant purified Wnt3A from R&D Systems). Gene pathways dependent on downstream _-catenin were studied by _-catenin knockdown with specific siRNA. Gene pathways blocked by extracellular SFRP-like Wnt inhibitors were studied by co-incubating cells with recombinant purified FZD8_CRD (300 ng/ml, from R&D Systems). Independent culture experiments performed in triplicate include untreated cells or cells incubated with scrambled siRNA or with _-catenin-specific siRNA or with FZD8_CRD, alone or in combination with Wnt3A. "}
{"STANDARD_NAME":"MEBARKI_HCC_PROGENITOR_WNT_UP_CTNNB1_DEPENDENT","SYSTEMATIC_NAME":"M38984","ORGANISM":"Homo sapiens","PMID":"27191501","GEOID":"GSE68633","EXACT_SOURCE":"Supplementary Table 3C, in Mebarki et al., Oncotarget (2016), 7: 39026 - 39043","CHIP":"Human_AGILENT_Array","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Orlando Musso","CONTRIBUTOR_ORG":"INSERM (Institut National de la Sant� et de la Recherche M�dicale), France. ","DESCRIPTION_BRIEF":"Transcriptome of human HepaRG hepatocellular carcinoma liver progenitors in responses to a WNT3A-enriched microenvironment and dissection of pathways dependent on _-catenin and/or blocked by the SFRP-like Wnt inhibitor FZD8_CRD.","DESCRIPTION_FULL":"Methods: Liver progenitor cells were incubated in a WNT-enriched microenvironment for 72hrs (200 ng/ml mouse recombinant purified Wnt3A from R&D Systems). Gene pathways dependent on downstream _-catenin were studied by _-catenin knockdown with specific siRNA. Gene pathways blocked by extracellular SFRP-like Wnt inhibitors were studied by co-incubating cells with recombinant purified FZD8_CRD (300 ng/ml, from R&D Systems). Independent culture experiments performed in triplicate include untreated cells or cells incubated with scrambled siRNA or with _-catenin-specific siRNA or with FZD8_CRD, alone or in combination with Wnt3A. "}
{"STANDARD_NAME":"MEBARKI_HCC_PROGENITOR_WNT_DN_CTNNB1_DEPENDENT","SYSTEMATIC_NAME":"M38985","ORGANISM":"Homo sapiens","PMID":"27191501","GEOID":"GSE68633","EXACT_SOURCE":"Supplementary Table 3C, in Mebarki et al., Oncotarget (2016), 7: 39026 - 39043","CHIP":"Human_AGILENT_Array","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Orlando Musso","CONTRIBUTOR_ORG":"INSERM (Institut National de la Sant� et de la Recherche M�dicale), France. ","DESCRIPTION_BRIEF":"Transcriptome of human HepaRG hepatocellular carcinoma liver progenitors in responses to a WNT3A-enriched microenvironment and dissection of pathways dependent on _-catenin and/or blocked by the SFRP-like Wnt inhibitor FZD8_CRD.","DESCRIPTION_FULL":"Methods: Liver progenitor cells were incubated in a WNT-enriched microenvironment for 72hrs (200 ng/ml mouse recombinant purified Wnt3A from R&D Systems). Gene pathways dependent on downstream _-catenin were studied by _-catenin knockdown with specific siRNA. Gene pathways blocked by extracellular SFRP-like Wnt inhibitors were studied by co-incubating cells with recombinant purified FZD8_CRD (300 ng/ml, from R&D Systems). Independent culture experiments performed in triplicate include untreated cells or cells incubated with scrambled siRNA or with _-catenin-specific siRNA or with FZD8_CRD, alone or in combination with Wnt3A. "}
{"STANDARD_NAME":"MEBARKI_HCC_PROGENITOR_WNT_UP_CTNNB1_INDEPENDENT","SYSTEMATIC_NAME":"M38986","ORGANISM":"Homo sapiens","PMID":"27191501","GEOID":"GSE68633","EXACT_SOURCE":"Supplementary Table 3D, in Mebarki et al., Oncotarget (2016), 7: 39026 - 39043","CHIP":"Human_AGILENT_Array","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Orlando Musso","CONTRIBUTOR_ORG":"INSERM (Institut National de la Sant� et de la Recherche M�dicale), France. ","DESCRIPTION_BRIEF":"Transcriptome of human HepaRG hepatocellular carcinoma liver progenitors in responses to a WNT3A-enriched microenvironment and dissection of pathways dependent on _-catenin and/or blocked by the SFRP-like Wnt inhibitor FZD8_CRD.","DESCRIPTION_FULL":"Methods: Liver progenitor cells were incubated in a WNT-enriched microenvironment for 72hrs (200 ng/ml mouse recombinant purified Wnt3A from R&D Systems). Gene pathways dependent on downstream _-catenin were studied by _-catenin knockdown with specific siRNA. Gene pathways blocked by extracellular SFRP-like Wnt inhibitors were studied by co-incubating cells with recombinant purified FZD8_CRD (300 ng/ml, from R&D Systems). Independent culture experiments performed in triplicate include untreated cells or cells incubated with scrambled siRNA or with _-catenin-specific siRNA or with FZD8_CRD, alone or in combination with Wnt3A. "}
{"STANDARD_NAME":"MEBARKI_HCC_PROGENITOR_WNT_DN_CTNNB1_INDEPENDENT","SYSTEMATIC_NAME":"M38987","ORGANISM":"Homo sapiens","PMID":"27191501","GEOID":"GSE68633","EXACT_SOURCE":"Supplementary Table 3D, in Mebarki et al., Oncotarget (2016), 7: 39026 - 39043","CHIP":"Human_AGILENT_Array","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Orlando Musso","CONTRIBUTOR_ORG":"INSERM (Institut National de la Sant� et de la Recherche M�dicale), France. ","DESCRIPTION_BRIEF":"Transcriptome of human HepaRG hepatocellular carcinoma liver progenitors in responses to a WNT3A-enriched microenvironment and dissection of pathways dependent on _-catenin and/or blocked by the SFRP-like Wnt inhibitor FZD8_CRD.","DESCRIPTION_FULL":"Methods: Liver progenitor cells were incubated in a WNT-enriched microenvironment for 72hrs (200 ng/ml mouse recombinant purified Wnt3A from R&D Systems). Gene pathways dependent on downstream _-catenin were studied by _-catenin knockdown with specific siRNA. Gene pathways blocked by extracellular SFRP-like Wnt inhibitors were studied by co-incubating cells with recombinant purified FZD8_CRD (300 ng/ml, from R&D Systems). Independent culture experiments performed in triplicate include untreated cells or cells incubated with scrambled siRNA or with _-catenin-specific siRNA or with FZD8_CRD, alone or in combination with Wnt3A. "}
{"STANDARD_NAME":"MEBARKI_HCC_PROGENITOR_WNT_UP_BLOCKED_BY_FZD8CRD","SYSTEMATIC_NAME":"M38988","ORGANISM":"Homo sapiens","PMID":"27191501","GEOID":"GSE68633","EXACT_SOURCE":"Supplementary Table 3E, in Mebarki et al., Oncotarget (2016), 7: 39026 - 39043","CHIP":"Human_AGILENT_Array","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Orlando Musso","CONTRIBUTOR_ORG":"INSERM (Institut National de la Sant� et de la Recherche M�dicale), France. ","DESCRIPTION_BRIEF":"Transcriptome of human HepaRG hepatocellular carcinoma liver progenitors in responses to a WNT3A-enriched microenvironment and dissection of pathways dependent on _-catenin and/or blocked by the SFRP-like Wnt inhibitor FZD8_CRD.","DESCRIPTION_FULL":"Methods: Liver progenitor cells were incubated in a WNT-enriched microenvironment for 72hrs (200 ng/ml mouse recombinant purified Wnt3A from R&D Systems). Gene pathways dependent on downstream _-catenin were studied by _-catenin knockdown with specific siRNA. Gene pathways blocked by extracellular SFRP-like Wnt inhibitors were studied by co-incubating cells with recombinant purified FZD8_CRD (300 ng/ml, from R&D Systems). Independent culture experiments performed in triplicate include untreated cells or cells incubated with scrambled siRNA or with _-catenin-specific siRNA or with FZD8_CRD, alone or in combination with Wnt3A. "}
{"STANDARD_NAME":"MEBARKI_HCC_PROGENITOR_WNT_DN_BLOCKED_BY_FZD8CRD","SYSTEMATIC_NAME":"M38989","ORGANISM":"Homo sapiens","PMID":"27191501","GEOID":"GSE68633","EXACT_SOURCE":"Supplementary Table 3E, in Mebarki et al., Oncotarget (2016), 7: 39026 - 39043","CHIP":"Human_AGILENT_Array","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Orlando Musso","CONTRIBUTOR_ORG":"INSERM (Institut National de la Sant� et de la Recherche M�dicale), France. ","DESCRIPTION_BRIEF":"Transcriptome of human HepaRG hepatocellular carcinoma liver progenitors in responses to a WNT3A-enriched microenvironment and dissection of pathways dependent on _-catenin and/or blocked by the SFRP-like Wnt inhibitor FZD8_CRD.","DESCRIPTION_FULL":"Methods: Liver progenitor cells were incubated in a WNT-enriched microenvironment for 72hrs (200 ng/ml mouse recombinant purified Wnt3A from R&D Systems). Gene pathways dependent on downstream _-catenin were studied by _-catenin knockdown with specific siRNA. Gene pathways blocked by extracellular SFRP-like Wnt inhibitors were studied by co-incubating cells with recombinant purified FZD8_CRD (300 ng/ml, from R&D Systems). Independent culture experiments performed in triplicate include untreated cells or cells incubated with scrambled siRNA or with _-catenin-specific siRNA or with FZD8_CRD, alone or in combination with Wnt3A. "}
{"STANDARD_NAME":"MEBARKI_HCC_PROGENITOR_WNT_UP_CTNNB1_DEPENDENT_BLOCKED_BY_FZD8CRD","SYSTEMATIC_NAME":"M38990","ORGANISM":"Homo sapiens","PMID":"27191501","GEOID":"GSE68633","EXACT_SOURCE":"Supplementary Table 3G, in Mebarki et al., Oncotarget (2016), 7: 39026 - 39043","CHIP":"Human_AGILENT_Array","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Orlando Musso","CONTRIBUTOR_ORG":"INSERM (Institut National de la Sant� et de la Recherche M�dicale), France. ","DESCRIPTION_BRIEF":"Transcriptome of human HepaRG hepatocellular carcinoma liver progenitors in responses to a WNT3A-enriched microenvironment and dissection of pathways dependent on _-catenin and/or blocked by the SFRP-like Wnt inhibitor FZD8_CRD.","DESCRIPTION_FULL":"Methods: Liver progenitor cells were incubated in a WNT-enriched microenvironment for 72hrs (200 ng/ml mouse recombinant purified Wnt3A from R&D Systems). Gene pathways dependent on downstream _-catenin were studied by _-catenin knockdown with specific siRNA. Gene pathways blocked by extracellular SFRP-like Wnt inhibitors were studied by co-incubating cells with recombinant purified FZD8_CRD (300 ng/ml, from R&D Systems). Independent culture experiments performed in triplicate include untreated cells or cells incubated with scrambled siRNA or with _-catenin-specific siRNA or with FZD8_CRD, alone or in combination with Wnt3A. "}
{"STANDARD_NAME":"MEBARKI_HCC_PROGENITOR_WNT_DN_CTNNB1_DEPENDENT_BLOCKED_BY_FZD8CRD","SYSTEMATIC_NAME":"M38991","ORGANISM":"Homo sapiens","PMID":"27191501","GEOID":"GSE68633","EXACT_SOURCE":"Supplementary Table 3G, in Mebarki et al., Oncotarget (2016), 7: 39026 - 39043","CHIP":"Human_AGILENT_Array","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Orlando Musso","CONTRIBUTOR_ORG":"INSERM (Institut National de la Sant� et de la Recherche M�dicale), France. ","DESCRIPTION_BRIEF":"Transcriptome of human HepaRG hepatocellular carcinoma liver progenitors in responses to a WNT3A-enriched microenvironment and dissection of pathways dependent on _-catenin and/or blocked by the SFRP-like Wnt inhibitor FZD8_CRD.","DESCRIPTION_FULL":"Methods: Liver progenitor cells were incubated in a WNT-enriched microenvironment for 72hrs (200 ng/ml mouse recombinant purified Wnt3A from R&D Systems). Gene pathways dependent on downstream _-catenin were studied by _-catenin knockdown with specific siRNA. Gene pathways blocked by extracellular SFRP-like Wnt inhibitors were studied by co-incubating cells with recombinant purified FZD8_CRD (300 ng/ml, from R&D Systems). Independent culture experiments performed in triplicate include untreated cells or cells incubated with scrambled siRNA or with _-catenin-specific siRNA or with FZD8_CRD, alone or in combination with Wnt3A. "}
{"STANDARD_NAME":"MEBARKI_HCC_PROGENITOR_FZD8CRD_UP","SYSTEMATIC_NAME":"M38992","ORGANISM":"Homo sapiens","PMID":"27191501","GEOID":"GSE68633","EXACT_SOURCE":"GSM1677868; GSM1677876; GSM1677884 in GSE68633","CHIP":"Human_AGILENT_Array","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Orlando Musso","CONTRIBUTOR_ORG":"INSERM (Institut National de la Sant� et de la Recherche M�dicale), France. ","DESCRIPTION_BRIEF":"Transcriptome of human HepaRG hepatocellular carcinoma liver progenitors in responses to a WNT3A-enriched microenvironment and dissection of pathways dependent on _-catenin and/or blocked by the SFRP-like Wnt inhibitor FZD8_CRD.","DESCRIPTION_FULL":"Methods: Liver progenitor cells were incubated in a WNT-enriched microenvironment for 72hrs (200 ng/ml mouse recombinant purified Wnt3A from R&D Systems). Gene pathways dependent on downstream _-catenin were studied by _-catenin knockdown with specific siRNA. Gene pathways blocked by extracellular SFRP-like Wnt inhibitors were studied by co-incubating cells with recombinant purified FZD8_CRD (300 ng/ml, from R&D Systems). Independent culture experiments performed in triplicate include untreated cells or cells incubated with scrambled siRNA or with _-catenin-specific siRNA or with FZD8_CRD, alone or in combination with Wnt3A. "}
{"STANDARD_NAME":"MEBARKI_HCC_PROGENITOR_FZD8CRD_DN","SYSTEMATIC_NAME":"M38993","ORGANISM":"Homo sapiens","PMID":"27191501","GEOID":"GSE68633","EXACT_SOURCE":"GSM1677868; GSM1677876; GSM1677884 in GSE68633","CHIP":"Human_AGILENT_Array","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Orlando Musso","CONTRIBUTOR_ORG":"INSERM (Institut National de la Sant� et de la Recherche M�dicale), France. ","DESCRIPTION_BRIEF":"Transcriptome of human HepaRG hepatocellular carcinoma liver progenitors in responses to a WNT3A-enriched microenvironment and dissection of pathways dependent on _-catenin and/or blocked by the SFRP-like Wnt inhibitor FZD8_CRD.","DESCRIPTION_FULL":"Methods: Liver progenitor cells were incubated in a WNT-enriched microenvironment for 72hrs (200 ng/ml mouse recombinant purified Wnt3A from R&D Systems). Gene pathways dependent on downstream _-catenin were studied by _-catenin knockdown with specific siRNA. Gene pathways blocked by extracellular SFRP-like Wnt inhibitors were studied by co-incubating cells with recombinant purified FZD8_CRD (300 ng/ml, from R&D Systems). Independent culture experiments performed in triplicate include untreated cells or cells incubated with scrambled siRNA or with _-catenin-specific siRNA or with FZD8_CRD, alone or in combination with Wnt3A. In the absence of Wnt in the microenvironnment, soluble FZD8_CRD may dimerize with other cell surface FZD_CRD domains."}
{"STANDARD_NAME":"RYAN_MANTLE_CELL_LYMPHOMA_NOTCH_DIRECT_UP","SYSTEMATIC_NAME":"M39016","ORGANISM":"Homo sapiens","PMID":"29045844","GEOID":"GSE97541","EXACT_SOURCE":"Table S4. Linkage Analysis for Notch-Activated Genes and Notch Transcription Complex Binding Peaks in MCL Cell Lines; Tab 1; Column A","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Russell Ryan","CONTRIBUTOR_ORG":"University Of Michigan","DESCRIPTION_BRIEF":"Genes upregulated by rapid Notch activation and linked to Notch TF binding peaks in mantle cell lymphoma cell lines.","DESCRIPTION_FULL":"Gain-of-function Notch mutations are recurrent in mature small B cell lymphomas such as mantle cell lymphoma (MCL) and chronic lymphocytic leukemia (CLL). We identified Notch-activated genes via rapid washout of gamma secretase inhibitor in MCL cell lines with activating Notch gene rearrangements, or that had been pre-stimulated by immobilized Notch ligand. We performed integrative analysis of Notch-regulated transcripts, genomic binding of Notch transcription factor complexes, and genome conformation data to identify direct Notch target genes in MCL cell lines. Likely indirect target genes (MYC-activated genes) were excluded by Notch activation experiments conducted in a cell line in which MYC expression was independent of Notch due to a genomic rearrangement of the MYC locus. This B cell Notch regulome is largely controlled through Notch-bound distal enhancers and includes genes involved in B cell receptor and cytokine signaling. We show that the oncogene MYC sustains proliferation of Notch-dependent MCL cell lines via a Notch-regulated lineage-restricted enhancer complex. Expression of direct Notch target genes is associated with Notch activity in an MCL xenograft model and in CLL lymph node biopsies."}
{"STANDARD_NAME":"RIEGE_DELTANP63_DIRECT_TARGETS_UP","SYSTEMATIC_NAME":"M41739","ORGANISM":"Homo sapiens","PMID":"33263276","AUTHORS":"Riege K,Kretzmer H,Sahm A,McDade SS,Hoffmann S,Fischer M","EXACT_SOURCE":"Table 1 (positive p63 Expression Score)","EXTERNAL_DETAILS_URL":"https://doi.org/10.7554/elife.63266","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Martin Fischer","CONTRIBUTOR_ORG":"Leibniz Institute on Aging, Fritz Lipmann Institute (FLI)","DESCRIPTION_BRIEF":"Genes directly up-regulated by DeltaNp63, the p63 isoform that lacks the canonical transactivation domain and is predominantly expressed in stratifying epithelia, identified through a meta-analysis of both cell lines and primary cells.","DESCRIPTION_FULL":"To identify genes commonly regulated by DeltaNp63 across cell types and tissues, we employed a previously established meta-analysis approach. From 11 genome-wide studies, 16 publicly available gene expression datasets were integrated to generate a specific p63 Expression Score (the number of datasets that identify a gene as significantly up-regulated minus the number of datasets that identify the genes as significantly down-regulated). The gene expression profiling datasets have been obtained from knockdown (n = 12) or overexpression experiments (n = 4) of p63 in primary keratinocytes (n = 3), the keratinocyte cell line HaCaT (n = 2), the foreskin fibroblast cell line BJ (n = 1), the breast epithelial cell line MCF10A (n = 4), the squamous carcinoma cell lines H226 (n = 2), KYSE70 (n = 1), and FaDu (n = 1), as well as the pancreatic ductal adenocarcinoma cell lines BxPC3 (n = 1) and SUIT2 (n = 1) In addition, we integrated 20 p63 ChIP-seq datasets. Given the large number of p63-binding sites identified and the high variance in p63-dependent gene regulation, we employed conservative thresholds to identify high-probability target genes of DeltaNp63. We only used p63-binding sites supported by at least half of the datasets (>=10) that are linked through TSS proximity (within 5 kb) or double-elite enhancer:gene associations to genes with a p63 Expression Score >= 8."}
{"STANDARD_NAME":"SALVADOR_MARTIN_PEDIATRIC_TBD_ANTI_TNF_THERAPY_NONRESPONDER_PRE_TREATMENT_UP","SYSTEMATIC_NAME":"M41740","ORGANISM":"Homo sapiens","PMID":"33429950","AUTHORS":"Salvador-Martín S,Kaczmarczyk B,Álvarez R,Navas-LÁpez VM,Gallego-Fernández C,Moreno-Álvarez A,Solar-Boga A,Sánchez C,Tolin M,Velasco M,Muñoz-Codoceo R,Rodriguez-Martinez A,Vayo CA,Bossacoma F,Pujol-Muncunill G,Fobelo MJ,Millán-Jiménez A,Magallares L,Martínez-Ojinaga E,Loverdos I,Eizaguirre FJ,Blanca-García JA,Clemente S,García-Romero R,Merino-Bohórquez V,González de Caldas R,Vázquez E,Dopazo A,Sanjurjo-Sáez M,López-Fernández LA","GEOID":"GSE159034","EXACT_SOURCE":"Table 3. List of genes expressed differentially between responders (R) and non-responders (NR) prior to initiation of anti-TNF treatment.","EXTERNAL_DETAILS_URL":"https://www.mdpi.com/1999-4923/13/1/77/htm","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes upregulated in anti-TNF therapy non-responders vs. responders prior to the initiation of anti-TNF therapy","DESCRIPTION_FULL":"Background: Up to 30% of patients with pediatric inflammatory bowel disease (IBD) do not respond to anti-Tumor Necrosis Factor (anti-TNF) therapy. The aim of this study was to identify pharmacogenomic markers that predict early response to anti-TNF drugs in pediatric patients with IBD. Methods: An observational, longitudinal, prospective cohort study was conducted. The study population comprised 38 patients with IBD aged < 18 years who started treatment with infliximab or adalimumab (29 responders and nine non-responders). Whole gene expression profiles from total RNA isolated from whole blood samples of six responders and six non-responders taken before administration of the biologic and after two weeks of therapy were analyzed using next-generation RNA sequencing. The expression of six selected genes was measured for purposes of validation in all of the 38 patients recruited using qPCR. Results: Genes were differentially expressed in non-responders and responders (32 before initiation of treatment and 44 after two weeks, Log2FC (Fold change) >0.6 or <_0.6 and p value < 0.05). After validation, FCGR1A, FCGR1B, and GBP1 were overexpressed in non-responders two weeks after initiation of anti-TNF treatment (Log2FC 1.05, 1.21, and 1.08, respectively, p value < 0.05). Conclusion: Expression of the FCGR1A, FCGR1B, and GBP1 genes is a pharmacogenomic biomarker of early response to anti-TNF agents in pediatric IBD."}
{"STANDARD_NAME":"SALVADOR_MARTIN_PEDIATRIC_TBD_ANTI_TNF_THERAPY_NONRESPONDER_POST_TREATMENT_UP","SYSTEMATIC_NAME":"M41741","ORGANISM":"Homo sapiens","PMID":"33429950","AUTHORS":"Salvador-Martín S,Kaczmarczyk B,Álvarez R,Navas-LÁpez VM,Gallego-Fernández C,Moreno-Álvarez A,Solar-Boga A,Sánchez C,Tolin M,Velasco M,Muñoz-Codoceo R,Rodriguez-Martinez A,Vayo CA,Bossacoma F,Pujol-Muncunill G,Fobelo MJ,Millán-Jiménez A,Magallares L,Martínez-Ojinaga E,Loverdos I,Eizaguirre FJ,Blanca-García JA,Clemente S,García-Romero R,Merino-Bohórquez V,González de Caldas R,Vázquez E,Dopazo A,Sanjurjo-Sáez M,López-Fernández LA","GEOID":"GSE159034","EXACT_SOURCE":"Table 4. List of genes expressed differentially between responders (R) and non-responders (NR) after two weeks of anti-TNF treatment.","EXTERNAL_DETAILS_URL":"https://www.mdpi.com/1999-4923/13/1/77/htm","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes upregulated in anti-TNF therapy non-responders vs. responders after two weeks of anti-TNF therapy","DESCRIPTION_FULL":"Background: Up to 30% of patients with pediatric inflammatory bowel disease (IBD) do not respond to anti-Tumor Necrosis Factor (anti-TNF) therapy. The aim of this study was to identify pharmacogenomic markers that predict early response to anti-TNF drugs in pediatric patients with IBD. Methods: An observational, longitudinal, prospective cohort study was conducted. The study population comprised 38 patients with IBD aged < 18 years who started treatment with infliximab or adalimumab (29 responders and nine non-responders). Whole gene expression profiles from total RNA isolated from whole blood samples of six responders and six non-responders taken before administration of the biologic and after two weeks of therapy were analyzed using next-generation RNA sequencing. The expression of six selected genes was measured for purposes of validation in all of the 38 patients recruited using qPCR. Results: Genes were differentially expressed in non-responders and responders (32 before initiation of treatment and 44 after two weeks, Log2FC (Fold change) >0.6 or <_0.6 and p value < 0.05). After validation, FCGR1A, FCGR1B, and GBP1 were overexpressed in non-responders two weeks after initiation of anti-TNF treatment (Log2FC 1.05, 1.21, and 1.08, respectively, p value < 0.05). Conclusion: Expression of the FCGR1A, FCGR1B, and GBP1 genes is a pharmacogenomic biomarker of early response to anti-TNF agents in pediatric IBD."}
{"STANDARD_NAME":"SALVADOR_MARTIN_PEDIATRIC_TBD_ANTI_TNF_THERAPY_NONRESPONDER_POST_TREATMENT_DN","SYSTEMATIC_NAME":"M41742","ORGANISM":"Homo sapiens","PMID":"33429950","AUTHORS":"Salvador-Martín S,Kaczmarczyk B,Álvarez R,Navas-LÁpez VM,Gallego-Fernández C,Moreno-Álvarez A,Solar-Boga A,Sánchez C,Tolin M,Velasco M,Muñoz-Codoceo R,Rodriguez-Martinez A,Vayo CA,Bossacoma F,Pujol-Muncunill G,Fobelo MJ,Millán-Jiménez A,Magallares L,Martínez-Ojinaga E,Loverdos I,Eizaguirre FJ,Blanca-García JA,Clemente S,García-Romero R,Merino-Bohórquez V,González de Caldas R,Vázquez E,Dopazo A,Sanjurjo-Sáez M,López-Fernández LA","GEOID":"GSE159034","EXACT_SOURCE":"Table 4. List of genes expressed differentially between responders (R) and non-responders (NR) after two weeks of anti-TNF treatment.","EXTERNAL_DETAILS_URL":"https://www.mdpi.com/1999-4923/13/1/77/htm","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes downregulated in anti-TNF therapy non-responders vs. responders after two weeks of anti-TNF therapy","DESCRIPTION_FULL":"Background: Up to 30% of patients with pediatric inflammatory bowel disease (IBD) do not respond to anti-Tumor Necrosis Factor (anti-TNF) therapy. The aim of this study was to identify pharmacogenomic markers that predict early response to anti-TNF drugs in pediatric patients with IBD. Methods: An observational, longitudinal, prospective cohort study was conducted. The study population comprised 38 patients with IBD aged < 18 years who started treatment with infliximab or adalimumab (29 responders and nine non-responders). Whole gene expression profiles from total RNA isolated from whole blood samples of six responders and six non-responders taken before administration of the biologic and after two weeks of therapy were analyzed using next-generation RNA sequencing. The expression of six selected genes was measured for purposes of validation in all of the 38 patients recruited using qPCR. Results: Genes were differentially expressed in non-responders and responders (32 before initiation of treatment and 44 after two weeks, Log2FC (Fold change) >0.6 or <_0.6 and p value < 0.05). After validation, FCGR1A, FCGR1B, and GBP1 were overexpressed in non-responders two weeks after initiation of anti-TNF treatment (Log2FC 1.05, 1.21, and 1.08, respectively, p value < 0.05). Conclusion: Expression of the FCGR1A, FCGR1B, and GBP1 genes is a pharmacogenomic biomarker of early response to anti-TNF agents in pediatric IBD."}
{"STANDARD_NAME":"SHARMA_ASTROCYTOMA_WITH_NF1_SYNDROM","SYSTEMATIC_NAME":"M216","ORGANISM":"Homo sapiens","PMID":"17283119","AUTHORS":"Sharma MK,Mansur DB,Reifenberger G,Perry A,Leonard JR,Aldape KD,Albin MG,Emnett RJ,Loeser S,Watson MA,Nagarajan R,Gutmann DH","GEOID":"GSE5675","EXACT_SOURCE":"Fig. 2A","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Jessica Robertson","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes up-regulated in pilocytic astrocytoma (PA) samples from patients with type 1 neurofibromatosis syndrom (NF1) compared to the PA tumors from non-NF1 patients.","DESCRIPTION_FULL":"Pilocytic astrocytomas (PAs) are the most common glioma in children. Whereas many PAs are slow-growing or clinically indolent, others exhibit more aggressive features with tumor recurrence and death. To identify genetic signatures that might predict PA clinical behavior, we did gene expression profiling on 41 primary PAs arising sporadically and in patients with neurofibromatosis type 1 (NF1). Whereas no expression signature was found that could discriminate clinically aggressive or recurrent tumors from more indolent cases, PAs arising in patients with NF1 did exhibit a unique gene expression pattern. In addition, we identified a gene expression signature that stratified PAs by location (supratentorial versus infratentorial). Lastly, we also identified a gene expression pattern common to PAs and normal mouse astrocytes and neural stem cells from these distinct brain regions as well as a gene expression pattern shared between PAs and another human glial tumor (ependymoma) arising supratentorially compared with those originating in the posterior fossa. These results suggest that glial tumors share an intrinsic, lineage-specific molecular signature that reflects the brain region in which their nonmalignant predecessors originated."}
{"STANDARD_NAME":"XIE_LT_HSC_S1PR3_OE_UP","SYSTEMATIC_NAME":"M41754","ORGANISM":"Homo sapiens","PMID":"33458693","AUTHORS":"Xie SZ,Kaufmann KB,Wang W,Chan-Seng-Yue M,Gan OI,Laurenti E,Garcia-Prat L,Takayanagi SI,Ng SWK,Xu C,Zeng AGX,Jin L,McLeod J,Wagenblast E,Mitchell A,Kennedy JA,Liu Q,Boutzen H,Kleinau M,Jargstorf J,Holmes G,Zhang Y,Voisin V,Bader GD,Wang JCY,Hannun YA,Luberto C,Schroeder T,Minden MD,Dick JE","GEOID":"GSE149238","EXACT_SOURCE":"Supplemental Table 3: LT-HSC DEGs. Differentially expressed genes with S1PR3 overexpression in LT-HSC and ST-HSC (q=0.05, fold change >1)","EXTERNAL_DETAILS_URL":"https://doi.org/10.1158/2643-3230.bcd-20-0155","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes upregulated in long-term hematopoietic stem cells (CD34+,CD38_,CD45RA_,CD90+,CD49f+) upon overexpression of Sphingosine-1-Phosphate Receptor 3 (S1PR3)","DESCRIPTION_FULL":"Acute myeloid leukemia (AML) is a caricature of normal hematopoiesis driven from leukemia stem cells (LSC) that share some hematopoietic stem cell (HSC) programs including responsiveness to inflammatory signaling. Although inflammation dysregulates mature myeloid cells and influences stemness programs and lineage determination in HSCs by activating stress myelopoiesis, such roles in LSCs are poorly understood. Here, we show that S1PR3, a receptor for the bioactive lipid sphingosine-1-phosphate, is a central regulator that drives myeloid differentiation and activates inflammatory programs in both HSCs and LSCs. S1PR3-mediated inflammatory signatures varied in a continuum from primitive to mature myeloid states across cohorts of patients with AML, each with distinct phenotypic and clinical properties. S1PR3 was high in LSCs and blasts of mature myeloid samples with linkages to chemosensitivity, whereas S1PR3 activation in primitive samples promoted LSC differentiation leading to eradication. Our studies open new avenues for therapeutic target identification specific for each AML subset.
Significance: S1PR3 is a novel regulator of myeloid fate in normal hematopoiesis that is heterogeneously expressed in AML. S1PR3 marks a subset of less primitive AML cases with a distinct inflammatory signature and therefore has clinical implications as both a therapeutic target and a biomarker to distinguish primitive from mature AML."}
{"STANDARD_NAME":"XIE_ST_HSC_S1PR3_OE_UP","SYSTEMATIC_NAME":"M41755","ORGANISM":"Homo sapiens","PMID":"33458693","AUTHORS":"Xie SZ,Kaufmann KB,Wang W,Chan-Seng-Yue M,Gan OI,Laurenti E,Garcia-Prat L,Takayanagi SI,Ng SWK,Xu C,Zeng AGX,Jin L,McLeod J,Wagenblast E,Mitchell A,Kennedy JA,Liu Q,Boutzen H,Kleinau M,Jargstorf J,Holmes G,Zhang Y,Voisin V,Bader GD,Wang JCY,Hannun YA,Luberto C,Schroeder T,Minden MD,Dick JE","GEOID":"GSE149238","EXACT_SOURCE":"Supplemental Table 3: ST-HSC DEGs. Differentially expressed genes with S1PR3 overexpression in LT-HSC and ST-HSC (q=0.05, fold change >1)","EXTERNAL_DETAILS_URL":"https://doi.org/10.1158/2643-3230.bcd-20-0155","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes upregulated in short-term hematopoietic stem cells (CD34+,CD38_,CD45RA_,CD90_,CD49f_) upon overexpression of Sphingosine-1-Phosphate Receptor 3 (S1PR3)","DESCRIPTION_FULL":"Acute myeloid leukemia (AML) is a caricature of normal hematopoiesis driven from leukemia stem cells (LSC) that share some hematopoietic stem cell (HSC) programs including responsiveness to inflammatory signaling. Although inflammation dysregulates mature myeloid cells and influences stemness programs and lineage determination in HSCs by activating stress myelopoiesis, such roles in LSCs are poorly understood. Here, we show that S1PR3, a receptor for the bioactive lipid sphingosine-1-phosphate, is a central regulator that drives myeloid differentiation and activates inflammatory programs in both HSCs and LSCs. S1PR3-mediated inflammatory signatures varied in a continuum from primitive to mature myeloid states across cohorts of patients with AML, each with distinct phenotypic and clinical properties. S1PR3 was high in LSCs and blasts of mature myeloid samples with linkages to chemosensitivity, whereas S1PR3 activation in primitive samples promoted LSC differentiation leading to eradication. Our studies open new avenues for therapeutic target identification specific for each AML subset.
Significance: S1PR3 is a novel regulator of myeloid fate in normal hematopoiesis that is heterogeneously expressed in AML. S1PR3 marks a subset of less primitive AML cases with a distinct inflammatory signature and therefore has clinical implications as both a therapeutic target and a biomarker to distinguish primitive from mature AML."}
{"STANDARD_NAME":"XIE_ST_HSC_S1PR3_OE_DN","SYSTEMATIC_NAME":"M41756","ORGANISM":"Homo sapiens","PMID":"33458693","AUTHORS":"Xie SZ,Kaufmann KB,Wang W,Chan-Seng-Yue M,Gan OI,Laurenti E,Garcia-Prat L,Takayanagi SI,Ng SWK,Xu C,Zeng AGX,Jin L,McLeod J,Wagenblast E,Mitchell A,Kennedy JA,Liu Q,Boutzen H,Kleinau M,Jargstorf J,Holmes G,Zhang Y,Voisin V,Bader GD,Wang JCY,Hannun YA,Luberto C,Schroeder T,Minden MD,Dick JE","GEOID":"GSE149238","EXACT_SOURCE":"Supplemental Table 3: ST-HSC DEGs. Differentially expressed genes with S1PR3 overexpression in LT-HSC and ST-HSC (q=0.05, fold change >-1)","EXTERNAL_DETAILS_URL":"https://doi.org/10.1158/2643-3230.bcd-20-0155","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CGP","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes downregulated in short-term hematopoietic stem cells (CD34+,CD38_,CD45RA_,CD90_,CD49f_) upon overexpression of Sphingosine-1-Phosphate Receptor 3 (S1PR3)","DESCRIPTION_FULL":"Acute myeloid leukemia (AML) is a caricature of normal hematopoiesis driven from leukemia stem cells (LSC) that share some hematopoietic stem cell (HSC) programs including responsiveness to inflammatory signaling. Although inflammation dysregulates mature myeloid cells and influences stemness programs and lineage determination in HSCs by activating stress myelopoiesis, such roles in LSCs are poorly understood. Here, we show that S1PR3, a receptor for the bioactive lipid sphingosine-1-phosphate, is a central regulator that drives myeloid differentiation and activates inflammatory programs in both HSCs and LSCs. S1PR3-mediated inflammatory signatures varied in a continuum from primitive to mature myeloid states across cohorts of patients with AML, each with distinct phenotypic and clinical properties. S1PR3 was high in LSCs and blasts of mature myeloid samples with linkages to chemosensitivity, whereas S1PR3 activation in primitive samples promoted LSC differentiation leading to eradication. Our studies open new avenues for therapeutic target identification specific for each AML subset.
Significance: S1PR3 is a novel regulator of myeloid fate in normal hematopoiesis that is heterogeneously expressed in AML. S1PR3 marks a subset of less primitive AML cases with a distinct inflammatory signature and therefore has clinical implications as both a therapeutic target and a biomarker to distinguish primitive from mature AML."}
{"STANDARD_NAME":"BIOCARTA_GRANULOCYTES_PATHWAY","SYSTEMATIC_NAME":"M5467","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_granulocytesPathway.gif","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Adhesion and Diapedesis of Granulocytes","DESCRIPTION_FULL":"Cell adhesion is a fundamental feature of multicellular organisms including their defense mechanisms. In the later case in mammals, leukocytes play central role. They bind bacteria, parasites, viruses, tumor cells etc. Furthermore, their interactions with the endothelium are of special importance. During an inflammation or immune reaction, specialized leukocytes (eosinophilic granulocytes) adhere to and pass through the endothelium of the blood vessels and the underlying matrix. The reaction passes through the following steps: 1. Rolling (the flow of cells is slowed down by first making contacts to the endothelium via P-, E-, and L-selectins and their receptors); 2. Adhesion (After activation of leukocyte integrins, firm contacts are established between them and endothelium molecules of the Ig superfamily - LFA-1, Mac-1, VLA-4 etc.); 3. Flattening of the cells and diapedesis (Adhering leukocytes crawl to an intercellular junction of the endothelium and then transmigrate to or even through the intercellular matrix. This is mediated by a homophilic interactions of PECAM and CD31."}
{"STANDARD_NAME":"BIOCARTA_LYM_PATHWAY","SYSTEMATIC_NAME":"M1469","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_lymPathway.gif","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Adhesion and Diapedesis of Lymphocytes","DESCRIPTION_FULL":"Cell adhesion is a fundamental feature of multicellular organisms including their defense mechanisms. In the later case in mammals, leukocytes play central role. They bind bacteria, parasites, viruses, tumor cells etc. Furthermore, their interactions with the endothelium are of special importance. Generally, lymphocyte adhesion and passage from the bloodstream to the lymphatic system occurs in the high endothelial venules of the lymphnodes. This way the lymphocytes can communicate with each other in the lymphatic system and search for foreign compounds after their recirculation to the bloodstream, this fulfilling their role in the immune system. The reaction passes through the following steps: 1. Rolling (the flow of cells is slowed down by first making contacts to the endothelium via P-, E-, and L-selectins and their receptors); 2. Adhesion (After activation of leukocyte integrins, firm contacts are established between them and endothelium molecules of the Ig superfamily - LFA-1, Mac-1, VLA-4 etc.); 3. Flatteningof the cells and diapedesis (Adhering leukocytes crawl to an intercellular junction of the endothelium and then transmigrate to or even through the intercellular matrix. This is mediated by a homophilic interactions of PECAM and CD31."}
{"STANDARD_NAME":"BIOCARTA_BLYMPHOCYTE_PATHWAY","SYSTEMATIC_NAME":"M1473","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_blymphocytePathway.gif","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"B Lymphocyte Cell Surface Molecules","DESCRIPTION_FULL":"B cells must communicate with their environment to participate in the immune system as the source of antigen-specific immunoglobulins. Cell surface proteins on B cells receive signals from the exterior, adhere to other cells, and transmit signals to other cells. Antigen recognized by a B cell's immunoglobulin is presented in MHC Class II to T cells during B cell activation. Cell surface immunoglobulins are a key to B cell function, assisting in the response of B cells to specific antigen recognized by that cell's immunoglobulin. CD54 (ICAM-1) is an adhesion molecule involved in the binding of B cells to other cell types and LFA-1 is an integrin adhesion protein with two subunits that binds to ICAM. CD35 and CD21 are receptors for complement factors that stimulate the B cell response when complement is activated. CD80 and CD40 bind to T cell proteins (CD28 and CD40L, respectively) to provide costimulatory signals in the B cell-T cell interaction required for B cell activation. CD45 is a protein tyrosine phosphatase that regulates activation of B cells and T cells through dephosphorylation of signaling factors. CD32 is a receptor for IgG Fc, and is also called FcgammaRII. The number of proteins on the surface of B cell proteins indicates the complexity of regulation of B cell activation."}
{"STANDARD_NAME":"BIOCARTA_CARM_ER_PATHWAY","SYSTEMATIC_NAME":"M2499","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_carm-erPathway.gif","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"CARM1 and Regulation of the Estrogen Receptor","DESCRIPTION_FULL":"Several forms of post-translational modification regulate protein activities. Recently, protein methylation by CARM1 (coactivator-associated arginine methyltransferase 1) has been observed to play a key role in transcriptional regulation. CARM1 associates with the p160 class of transcriptional coactivators involved in gene activation by steroid hormone family receptors. CARM1 also interacts with CBP/p300 transcriptional coactivators involved in gene activation by a large variety of transcription factors, including steroid hormone receptors and CEBP. One target of CARM1 is the core histones H3 and H4, which are also targets of the histone acetylase activity of CBP/p300 coactivators. Recruitment of CARM1 to the promoter region by binding to coactivators increases histone methylation and makes promoter regions more accessible for transcription. Another target of CARM1 methylation is a coactivator it interacts with, CBP. Methylation of CBP by CARM1 blocks CBP from acting as a coactivator for CREB and redirects the limited CBP pool in the cell to be available for steroid hormone receptors. Other forms of post-translational protein modification such as phosphorylation are reversible in nature, but as of yet a protein demethylase is not known. The methylation activity of CARM1 modulates the activity of specific transcriptional regulators. CARM1 acts as a coactivator for the myogenic transcription factor Mef2c, and is necessary for normal muscle cell differentiation. The estrogen receptor is another transcription factor that uses CARM1 as one of several coactivators, acting synergistically with CBP through the Grip1 member of the p160 family of coactivators. The interaction of estrogen receptor with various ligand-dependent coactivators may produce the tissue selective response of some estrogen receptor ligands like tamoxifen."}
{"STANDARD_NAME":"BIOCARTA_LAIR_PATHWAY","SYSTEMATIC_NAME":"M3952","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_LairPathway.gif","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Cells and Molecules involved in local acute inflammatory response","DESCRIPTION_FULL":"Inflammation has several distinct components, including the localized response at the site of tissue injury or infection. Tissue injury stimulates the release of inflammatory signaling molecules such as bradykinin. Bacterial infection stimulates an immune response in several ways. Bacteria that are phagocytosed can activate macrophages, causing the release of inflammatory cytokines such as IL-1, TNF, and IL-6. Bacteria can also activate the complement cascade through either the antibody-mediated pathway (classical pathway) or the alternative complement pathway. In extravascular tissues, cells that respond to infection or injury include macrophages and mast cells. Macrophages and other immune cells secrete chemokines that recruit leukocytes from the circulation to the site of inflammation. Mast cells release histamine, prostaglandins, and leukotrienes that act as chemokines, increase vascular permeability, and act on the vascular endothelium to increase tissue recruitment of leukocytes. Chemokines can recruit leukocytes or lymphocytes out of the blood stream into tissues and make blood vessels more permeable. Leukocytes are activated by inflammatory signals to express adhesion molecules that cause them to interact with the vascular endothelium, penetrate the endothelial wall and migrate into the extracellular space of tissues. The combined response of immune cells and signaling molecules at the site of inflammation induces swelling, activation of immune cells, and clearance of potential infectious agents. Chronic inflammation can however also lead to tissue damage in conditions such as arthritis, in which anti-inflammatory drugs act on various steps in inflammation to prevent disease."}
{"STANDARD_NAME":"BIOCARTA_VDR_PATHWAY","SYSTEMATIC_NAME":"M13404","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_vdrPathway.gif","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Control of Gene Expression by Vitamin D Receptor","DESCRIPTION_FULL":"The vitamin D receptor, VDR is the mediator of all genomic actions of vitamin D3 and its analogs. It belongs to a family of ligand induced transcription factors, nuclear receptors (NRs). Vitamin D3 is the main regulator of calcium homeostasis and is critical in bone formation. It is also involved in controlling cellular growth, differentiation and apoptosis, which makes synthetic vitamin D3 analogues interesting for therapy of such diseases as cancer and psoriasis. NRs are comprised of: an amino-terminal activation function domain AF-1; the DNA-binding domain; a hinge region; and a carboxy-terminal ligand-binding domain containing a second activation function, AF-2. VDR acts primarily as a heterodimer with the retinoid X receptor (RXR) on vitamin D response elements (VDREs). It interacts with the transcription machinery and nuclear receptor coactivators or corepressors to regulate target gene activity. NRs coregulators can be divided into 3 major classes: 1)ATP-dependent chromatin remodeling complexes that are involved in the location and association of nucleosomes with DNA; 2) Enzymes that catalyze modifications of histone tails to regulate histone-histone and histone-DNA interactions 3) General transcription factors adaptors that bridge the functions between regulators and basal transcription factors. A novel multifunctional ATP-dependent chromatin remodeling complex c WINAC directly interacts with the vitamin D receptor. It contains BRG1 or hBRM as ATPase subunits as all SWI/SNF complexes do, but it also has subunits associated with DNA replication (TopoII_ and CAF-1p150) and transcript elongation through nucleosomes (FACTP140) not found before in SWI/SNF complexes. WINAC also contains the Williams syndrome transcription factor (WSTF). WSTF appears to function as a platform protein for the assembly of components in WINAC, and it interacts directly with the vitamin D receptor in a ligand-independent manner. WINAC and vitamin Dreceptor are targeted to vitamin D responsive promoters in the absence of ligand to both positively and negatively regulated genes. WINAC may rearrange the nucleosome array around the positive and negative VDREs, thereby facilitating the coregulatory complexes access for further transcription control. Upon ligand binding, two HAT complexes, p160/CBP and TRRAP/PCAF, coactivate the NR function. The p160 proteins (SRC protein family) interact directly with an NR activation surface AF2 and serve as platforms for the recruitment of histone-modifying enzymes, including CBP/p300 and methyltransferases. The SRC/p160 family members SRC-1 and p/CIP, as well as CBP and p300 contain intrinsic histone acetyltransferase activity(HAT). Both the HAT activity and the histone methyltransferase activity may cooperate in histone modification and facilitate nucleosome remodeling and recruitment of transcriptional machinery. A third group of coactivators is represented by thyroid receptor-associated proteins (TRAP)/vitamin D receptor-interacting proteins (DRIP). This complex may play a role by directly contacting the basal transcriptional machinery. As the VDR/RXR heterodimer also represses transcription in a ligand-dependent manner through negative VDRE (nVDRE), a number of corepressor proteins such as NCoR and ALIEN may also be recruited to the surface of the receptor. They, too function as platforms but serve to recruit enzymes such as histone deacetylases. WINAC association with VDR facilitates targeting of a putative corepressor complex to the nVDRE"}
{"STANDARD_NAME":"BIOCARTA_MTA3_PATHWAY","SYSTEMATIC_NAME":"M225","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_mta3Pathway.gif","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Downregulated of MTA-3 in ER-negative Breast Tumors","DESCRIPTION_FULL":"Approximately 30% of breast carcinomas lack ER expression. Presumably, these breast cancers become estrogen independent through genetic alterations that bypass the requirement for ER-dependent stimulation of cell proliferation. As such estrogen receptor is a key regulator of proliferation and differentiation in mammary epithelia and represents a crucial prognostic indicator and therapeutic target in breast cancer. Mechanistically, estrogen receptor induces changes in gene expression through direct gene activation of a number of genes (cathepsin D, HSP27 (heat shock protein 27,000 kDa, aldolase A, dehydrogenase, alpha-tubulin, and glyceraldehyde-3-phosphat, Pdzk1, Greb ets) and also through the biological functions of target loci. The product of human MTA3 has been identified as an estrogen-dependent component of the Mi-2/NuRD transcriptional corepressor in breast epithelial cells and demonstrate that MTA3 constitutes a key component of an estrogen-dependent pathway regulating growth and differentiation. The absence of estrogen receptor or of MTA3 leads to aberrant expression of the transcriptional repressor Snail, a master regulator of epithelial to mesenchymal transitions. Aberrant Snail expression results in loss of expression of the cell adhesion molecule E-cadherin, an event associated with changes in epithelial architecture and invasive growth. MTA3 is the mechanistic link between estrogen receptor status and invasive growth of breast cancers."}
{"STANDARD_NAME":"BIOCARTA_GABA_PATHWAY","SYSTEMATIC_NAME":"M477","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_gabaPathway.gif","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Gamma-aminobutyric Acid Receptor Life Cycle","DESCRIPTION_FULL":"Gamma-amino butyric acid (GABA) is an inhibitory neurotransmitter that acts at synapses through binding to ligand-gated ion channels, the GABA receptors. Clustering of the GABA-A receptor chloride channel alters receptor pharmacology on the cell surface and reduced clustering of the GABA receptor is associated with anxiety. GABA-A interacts with several proteins that modulate its clustering, endocytosis, and recycling or degradation. Plic-1 is a ubiquitin-like protein that binds to GABA-A receptors and causes them to accumulate at inhibitory synapses. Gephyrin interacts with the cytoplasmic domain of GABA-A, and with microtubules, bringing receptors together in plasma microdomains. Curiously, Gephyrin appears to be a bifunctional protein, with a domain involved in molybdenum metabolism. Another protein interacting with the GABA-A receptor is GABARAP, a microtubule-associated protein. Anchoring of the GABA-A receptor to GABARAP helps to cluster the receptor at the synaptic termini and to mediate fast synaptic transmission. GABARAP may mediate interaction of gephyrin with the GABA-A receptor and gephyrin may stabilize clusters by forming multimeric structures. GABARAP and gephyrin may play more of a role in receptor sorting and transport to the cell surface than in anchoring to the cytoplasm, since at inhibitory synapses GABARAP appears to associated with transport vesicles rather than the cell surface. The association of GABARAP with NSF (N-ethyl maleimide sensitive factor), a protein involved in intracellular vesicle transport, supports this hypothesis."}
{"STANDARD_NAME":"BIOCARTA_EGFR_SMRTE_PATHWAY","SYSTEMATIC_NAME":"M18837","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_egfr_smrtePathway.gif","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Map Kinase Inactivation of SMRT Corepressor","DESCRIPTION_FULL":"Corepressors are coregulators that interact with transcriptional silencers in a variety of pathways such as cell proliferation, differentiation and apoptosis. Abnormal corepressor-silencer interactions have been implicated in a variety of human disease pathways including several types of leukemia. The regulation of the SMRT corepressor via the p38 and Mek-1 Kinase pathway is shown in this diagram. The EFG receptor represents one mechanism by which SMRT function is inhibited by the tyrosine kinase signaling pathway. The MEKK1 and p38 pathways are activated by EGF resulting in cross-regulation of SMRT. The induction of SMRT phosphorylation by each pathway is shown, causing SMRT to unbind from the transcription factor complexes represented by RXR, RAR, T3R and PLZF."}
{"STANDARD_NAME":"BIOCARTA_MONOCYTE_PATHWAY","SYSTEMATIC_NAME":"M4956","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_monocytePathway.gif","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Monocyte and its Surface Molecules","DESCRIPTION_FULL":"Monocytes are a class of phagocytes involved in non-specific immune defense that develop into macrophages. In plasma, monocytes ingest and destroy bacteria, and can form macrophages when they enter the extracellular space in tissues. In addition to the immune protection that monocytes provide, they may contribute to disease states such as arthritis and heart disease through an aberrant immune response. As with other immune cells, the immune function and differentiation of monocytes rely on communication with other cells through cell surface proteins. Cell surface proteins are involved in both interaction and adhesion with other cells and in transducing signals into the cellular interior. The LFA-1 integrin (Leukocyte function-associated molecule 1) is composed of two subunits, CD11a and CD18 and is involved in monocytes adhesion with ICAM-1 endothelial cells. Mac-1 is composed of the subunits CD11b and CD18 and is induced during inflammation as well. PECAM-1 mediates the migration of monocytes and other immune cells into inflamed tissues through interaction with vascular endothelial cells. CD44 interaction of leukocytes with hyaluronan in the extracellular matrix is induced by inflammation. VLA-4 is another integrin expressed on lymphocytes that plays a role in adhesion through interaction with its adhesion partner on endothelial cells, VCAM-1."}
{"STANDARD_NAME":"BIOCARTA_RARRXR_PATHWAY","SYSTEMATIC_NAME":"M6907","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_rarrxrPathway.gif","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Nuclear receptors coordinate the activities of chromatin remodeling complexes and coactivators to facilitate initiation of transcription in carcinoma cells","DESCRIPTION_FULL":"RXR and RAR are nuclear receptors that bind either all trans retinoic (tRA) or 9cis retinoic acid (9cisRA). In the absence of ligand corepressors with histone deacetylase activity are bound to the RAR/RXR hetrodimer and suppress transcription. Once they bind retinoic acid a conformational change in the receptors cause the dissociation of the corepressors and the binding of coactivators with histone acetylase activity (1). Following ligand binding by the hetrodimer the receptors and proteins in the basal transcription machinery (like TBP and TAF135) are degraded by the proteasome (2)."}
{"STANDARD_NAME":"BIOCARTA_NUCLEARRS_PATHWAY","SYSTEMATIC_NAME":"M16393","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_nuclearRsPathway.gif","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Nuclear Receptors in Lipid Metabolism and Toxicity","DESCRIPTION_FULL":"Nuclear receptors are transcription factors that are activated upon binding to its ligands. Initially, they had been classified as classic endocrine nuclear hormone receptors and orphan receptors. However, further studies have led to the identification of lipid ligands for some of these adopted orphan receptors, which are responsible for lipid metabolism, storage or elimination. One of the characteristics of these receptors is that they act by forming heterodimers with retinoid X receptor (RXR). The receptors include peroxisome proliferators-Activated receptors (PPARs) for fatty acids, liver X receptor (LCR) for oxysterols, Farnesoid X receptors (FXR) for bile acids and steroid xenobiotic receptor/X receptor (SXR/PXR or Nsil2) for xenobiotics. Other orphan receptors also require RXR for its functions are vitamin D receptor (VDR) for vitamin D and retinoic acid receptor (RAR) for retinoid acids, although these receptors are not involved in lipid metabolism. Upon binding to various ligands, three classes of proteins are synthesized including lipid binding proteins, the ATP-binding cassette (ABC) transporters and cytochrome P450 member proteins which catalyzes lipid anabolism, metabolism and elimination. In addition to lipid metabolism, some members of the cytochrome P450 family genes are responsible for activation of procarcinogens, detoxification of environmental toxins and metabolism of drugs and xenobiotics. In particular, CAR, Nsil2 and recently identified VDR are important in up-regulation of these cytochromes. Of all the human cytochrome P450 genes, only a few CYP1A2, CYP2C9, CYP2C19, CYP2D6, CYP2E1 and CYP3A4 account for most toxicity effects, specifically CYP3A is responsible for clearing approximately half of the clinically prescribed drugs. For instance, acetaminophen, one of the most commonly used drug, is toxic in high doses due to the activation of CAR and the drugs subsequentconversion to acetyl-p-benzoquinone imine (NAPQI) by CYP1A2, CYP2E1 and CYP3A."}
{"STANDARD_NAME":"BIOCARTA_RANMS_PATHWAY","SYSTEMATIC_NAME":"M17370","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_ranMSPathway.gif","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Role of Ran in mitotic spindle regulation","DESCRIPTION_FULL":"One of the central features of mitotic cell division is the formation of the spindle that segregates chromosomes into each daughter cell. Chromosomes are not just passengers along for a ride with the spindle, but active participants in the nucleation and stabilization of spindle microtubules in their near vicinity. The ras-like GTPase Ran that regulates nucleocytoplasmic transport through the nuclear pore complex (NPC) during interphase also regulates the formation of the mitotic spindle. Ran plays a similar role in each of these processes, regulating downstream signaling pathways in a differential manner based on whether GDP or GTP is bound. Like other GTPases, the inherent GTPase activity of Ran is regulated by GTPase activating proteins (GAPs) and by exchange factors. An exchange factor that stimulates nucleotide exchange by the Ran GTPase is RCC1, which binds to chromatin in both interphase and mitosis. While RCC1 helps RAN drive transport between the nucleus and cytoplasm during interphase, the localization of RCC1 on chromatin during mitosis localizes Ran-GTP near chromosomes, localizing microtubule formation in these regions. Ran-BP1 and Ran-GAP1 stimulate GTP hydrolysis by Ran, converting it back to Ran-GDP further away from chromosomes. Aster promoting activities (APA) and the importin-alpha and importin-beta proteins involved with Ran in nucleocytoplasmic transport are also involved in mitotic spindle formation. Aster promoting activities stabilize microtubules during spindle formation, but binding of importins to APA neutralizes their activity in forming microtubules. The importins bind to APA when far from the chromosomes, where Ran-GDP predominates, but Ran-GTP near chromosomes causes importins to release APA factors including Tpx2 and NuMa, allowing them to stimulate microtubule formation. Tpx2 interacts with the microtubule motor protein Xklp2 and also activates the Aurora A mitotic kinase, required for spindle formation. In addition to regulating spindle formation, Ran may also help reform the nuclear envelope after cell division and may use a similar mechanism to regulate other cellular processes."}
{"STANDARD_NAME":"BIOCARTA_TEL_PATHWAY","SYSTEMATIC_NAME":"M10401","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_telPathway.gif","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Telomeres, Telomerase, Cellular Aging, and Immortality","DESCRIPTION_FULL":"Telomeres, which define the ends of chromosomes, consist of short, tandemly repeated DNA sequences loosely conserved in eukaryotes. Telomerase is a ribonucleoprotein complex ( we only show a few of the components in this illustration) which in vitro recognizes a single-stranded G-rich telomere primer and adds multiple telomeric repeats to its 3-prime end by using an RNA template. Telomerase may also have a role in de novo formation of telomeres. Telomerase has been identified in many cultured cell lines and actively dividing cell types. The active reverse transcriptase component has been identified in teh TERT protein. The presence of this factor determines the availability of the telomerase function. The TERT protein has a high turnover rate and its expression is regulated by factors that promote growth (c-MYC, v-k-ras, Bcl-2 and E6) and inhibiting factors (RB and p53) that promote cell death or that block cell division. It appears that the regulation of active telomerase has many levels and can be inhibited by TEP1 not releasing TERT or by TRF1 which binds the end repeats and prevents access to the chromosome ends. Additional modulation is due to phosphorlyation by PKC and AKT or dephophorylation by PP2A. Wilke et al found that a case of human alpha-thalassemia was caused by a truncation of chromosome 16 that had been healed by the addition of telomeric repeats (TTAGGG)n. Human telomeres consist of many kilobases of (TTAGGG)n together with various associated proteins. Small amounts of these terminal sequences are lost from the tips of the chromosomes during each S phase because of incomplete DNA replication, but de novo addition of TTAGGG repeats by the enzyme telomerase compensates for this loss. Many human cells progressively lose terminal bases with each cell division, a loss that correlates with the apparent absence of telomerase in these cells. There has been considerable interest in the possible relationship between human telomeres and cellular senescence and immortalization. This interest includes the question of a role in the malignant process and the question of the use of telomerase inhibitors as anti-tumor drugs."}
{"STANDARD_NAME":"BIOCARTA_SARS_PATHWAY","SYSTEMATIC_NAME":"M5374","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_SARSpathway.gif","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"SARS Coronavirus Protease","DESCRIPTION_FULL":"Severe Acute Respiratory Syndrome (SARS) has affected thousands of individuals, causing fever, and pneumonia with a mortality rate estimated at 10-18%. A novel coronavirus has been identified as the cause agent and its genome has been sequenced. Human coronaviruses cause mild respiratory illness and accounts for about a third of all cases of the common cold. The enveloped SARS virus contains a large + strand RNA genome, approximately 30,000 nucleotides. Examination of the SARS coronavirus sequences reveals that rep gene covers over 20,000 nucleotides and encodes two overlapping polyproteins cleaved by viral proteases into smaller protein products. Translation of the longer polyprotein encoded by the rep gene requires a ribosomal frameshift. Other viral genes are predicted to encode the transmembrane spike protein S involved in viral fusion with host cells, the envelope protein E, the membrane protein M and the nucleocapsid protein N that binds to the RNA genome as well as several additional open reading frames with unknown functions. Viral entry into the cell is followed by translation of the viral rep gene, which codes for a viral protease within the polyprotein, Mpro or 3CLpro. The SARS 3CLpro has also been verified in vitro to cleave after the Gln residue at Leu-Gln-(Ser, Ala, Gly),. Polypeptides released from the polyproteins by the main viral protease Mpro or 3CLpro include the viral polymerase and a protease. Both products are essential for viral replication and transcription. Structural crystals of a porcine coronavirus protease with a transition state inhibitor suggest that inhibitors of the distantly related rhinovirus protease like the drug AG7088 may be modified to produce drugs that block the SARS protease and viral replication. Blocking entry of the SARS virus into cells, involving recognition of cellular receptors by the S spike protein, may provide another strategy for the development of drugs to treat SARS."}
{"STANDARD_NAME":"BIOCARTA_PDZS_PATHWAY","SYSTEMATIC_NAME":"M22001","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_PDZsPathway.gif","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Synaptic Proteins at the Synaptic Junction"}
{"STANDARD_NAME":"BIOCARTA_RACC_PATHWAY","SYSTEMATIC_NAME":"M22002","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_raccPathway.gif","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Ion Channels and Their Functional Role in Vascular Endothelium"}
{"STANDARD_NAME":"BIOCARTA_EICOSANOID_PATHWAY","SYSTEMATIC_NAME":"M22003","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_eicosanoidPathway.gif","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Eicosanoid Metabolism"}
{"STANDARD_NAME":"BIOCARTA_CHREBP_PATHWAY","SYSTEMATIC_NAME":"M22004","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_chrebpPathway.gif","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"ChREBP regulation by carbohydrates and cAMP","DESCRIPTION_FULL":"Liver is the major site for carbohydrate metabolism (glycolysis and glycogen synthesis) and triglyceride synthesis (lipogenesis). While insulin was long thought to be the major regulator of hepatic gene expression, emerging evidence show that nutrients, in particular, glucose and fatty acids, are also able to regulate hepatic genes. This diagram illustrates how glucose metabolite, rather than glucose itself, contributes to the coordinated regulation of carbohydrate and lipid homeostasis in liver through phosphorylation-dependent regulation of ChREBP (carbohydrate responsive element binding protein). ChREBP is a basic helix-loop helix/leucine zipper (bHLH/LZ) transcription factor, shuttling between the cytoplasm and nucleus in a glucose-responsive manner in hepatocytes. When serum glucose is elevated, glucose transporter (GLUT2) and glucokinase (GCK) allow for rapid uptake and equilibration of intracellular glucose levels. This flux of glucose promotes, via the hexose monophosphate shunt pathway (HMP Shunt), the formation of xylulose-5-phosphate (Xu-5-P), which activates protein phosphatase 2A (PP2A) to dephosphorylate ChREBP (Ser196) and promote its nuclear localization. PP2A further dephosphorylates ChREBP in the nucleus, allowing it to dimerize with the bHLH/LZ transcription factor Max-like protein X (MLX) and activate transcription of a number of glycolytic and lipogenic genes containing a ChoRE, such as liver-type pyruvate kinase (L-PK), acetyl-CoA carboxylase 1 (ACACA), and fatty acid synthase (FASN). Upon starvation or high-fat feeding, intrahepatic levels of cAMP and AMP are elevated to activate protein kinase A (PKA) and AMP-dependent protein kinase (AMPK), respectively. PKA-mediated phosphorylation of Thr666 and Ser626 inhibits the DNA binding capacity of ChREBP; so does AMPK-mediated modification of Ser568. PKA-dependent phosphorylation of Ser196 promotes interaction with 14-3-3 and thus sequesters ChREBP in the cytosol. In summary, the phosphorylated form of ChREBP is rendered inactive due to its diminished DNA binding capacity and subcellular compartmentalization. Glucose metabolism triggers dephosphorylation of ChREBP, allowing it to enter the nucleus and activate the transcription of both glycolytic and lipogenic gene expression in liver. The fact that ChREBP/ mice are intolerant to glucose and insulin resistant suggests that ChREBP may also play a role in the pathogenesis of type 2 diabetes."}
{"STANDARD_NAME":"BIOCARTA_LIS1_PATHWAY","SYSTEMATIC_NAME":"M22005","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_Lis1Pathway.gif","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Lissencephaly gene (LIS1) in neuronal migration and development"}
{"STANDARD_NAME":"BIOCARTA_HSWI_SNF_PATHWAY","SYSTEMATIC_NAME":"M22006","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_hSWI-SNFpathway.gif","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Chromatin Remodeling by hSWI/SNF ATP-dependent Complexes"}
{"STANDARD_NAME":"BIOCARTA_PCAF_PATHWAY","SYSTEMATIC_NAME":"M22007","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_pcafPathway.gif","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"The information-processing pathway at the IFN-beta enhancer"}
{"STANDARD_NAME":"BIOCARTA_LYMPHOCYTE_PATHWAY","SYSTEMATIC_NAME":"M22008","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_lymphocytePathway.gif","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Adhesion Molecules on Lymphocyte"}
{"STANDARD_NAME":"BIOCARTA_AMAN_PATHWAY","SYSTEMATIC_NAME":"M22009","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_aMANpathway.gif","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Steps in the Glycosylation of Mammalian N-linked Oligosaccarides"}
{"STANDARD_NAME":"BIOCARTA_NEUTROPHIL_PATHWAY","SYSTEMATIC_NAME":"M22010","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_neutrophilPathway.gif","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Neutrophil and Its Surface Molecules"}
{"STANDARD_NAME":"BIOCARTA_EFP_PATHWAY","SYSTEMATIC_NAME":"M22011","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_EfpPathway.gif","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Estrogen-responsive protein Efp controls cell cycle and breast tumors growth"}
{"STANDARD_NAME":"BIOCARTA_CREM_PATHWAY","SYSTEMATIC_NAME":"M22012","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_cremPathway.gif","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Regulation of Spermatogenesis by CREM"}
{"STANDARD_NAME":"BIOCARTA_ERAD_PATHWAY","SYSTEMATIC_NAME":"M22013","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_eradPathway.gif","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"ERbassociated degradation (ERAD) Pathway"}
{"STANDARD_NAME":"BIOCARTA_BTG2_PATHWAY","SYSTEMATIC_NAME":"M22014","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_btg2Pathway.gif","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"BTG family proteins and cell cycle regulation"}
{"STANDARD_NAME":"BIOCARTA_TERT_PATHWAY","SYSTEMATIC_NAME":"M22015","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_tertPathway.gif","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Overview of telomerase protein component gene hTert Transcriptional Regulation"}
{"STANDARD_NAME":"BIOCARTA_GHRELIN_PATHWAY","SYSTEMATIC_NAME":"M22016","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_ghrelinPathway.gif","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Ghrelin: Regulation of Food Intake and Energy Homeostasis"}
{"STANDARD_NAME":"BIOCARTA_VOBESITY_PATHWAY","SYSTEMATIC_NAME":"M22017","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_vobesityPathway.gif","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Visceral Fat Deposits and the Metabolic Syndrome"}
{"STANDARD_NAME":"BIOCARTA_ERBB3_PATHWAY","SYSTEMATIC_NAME":"M22018","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_ErbB3Pathway.gif","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Neuroregulin receptor degredation protein-1 Controls ErbB3 receptor recycling"}
{"STANDARD_NAME":"BIOCARTA_CTBP1_PATHWAY","SYSTEMATIC_NAME":"M22019","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_ctbp1Pathway.gif","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"SUMOylation as a mechanism to modulate CtBP-dependent gene responses"}
{"STANDARD_NAME":"BIOCARTA_PRION_PATHWAY","SYSTEMATIC_NAME":"M22020","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_prionPathway.gif","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Prion Pathway"}
{"STANDARD_NAME":"BIOCARTA_PLK3_PATHWAY","SYSTEMATIC_NAME":"M22021","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_plk3Pathway.gif","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Regulation of cell cycle progression by Plk3"}
{"STANDARD_NAME":"BIOCARTA_FXR_PATHWAY","SYSTEMATIC_NAME":"M22022","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_fxrPathway.gif","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"FXR and LXR Regulation of Cholesterol Metabolism"}
{"STANDARD_NAME":"BIOCARTA_MHC_PATHWAY","SYSTEMATIC_NAME":"M22023","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_mhcPathway.gif","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Antigen Processing and Presentation"}
{"STANDARD_NAME":"BIOCARTA_ACETAMINOPHEN_PATHWAY","SYSTEMATIC_NAME":"M22024","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_acetaminophenPathway.gif","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Mechanism of Acetaminophen Activity and Toxicity"}
{"STANDARD_NAME":"BIOCARTA_PRC2_PATHWAY","SYSTEMATIC_NAME":"M22025","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_prc2Pathway.gif","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"The PRC2 Complex Sets Long-term Gene Silencing Through Modification of Histone Tails"}
{"STANDARD_NAME":"BIOCARTA_SM_PATHWAY","SYSTEMATIC_NAME":"M22026","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_smPathway.gif","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Spliceosomal Assembly"}
{"STANDARD_NAME":"BIOCARTA_RANBP2_PATHWAY","SYSTEMATIC_NAME":"M22027","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_ranbp2Pathway.gif","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Sumoylation by RanBP2 Regulates Transcriptional Repression"}
{"STANDARD_NAME":"BIOCARTA_IRES_PATHWAY","SYSTEMATIC_NAME":"M22028","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_iresPathway.gif","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Internal Ribosome entry pathway"}
{"STANDARD_NAME":"BIOCARTA_PLC_PATHWAY","SYSTEMATIC_NAME":"M22029","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_plcPathway.gif","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Phospholipase C Signaling Pathway"}
{"STANDARD_NAME":"BIOCARTA_BBCELL_PATHWAY","SYSTEMATIC_NAME":"M22030","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_bbcellPathway.gif","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Bystander B Cell Activation"}
{"STANDARD_NAME":"BIOCARTA_CDC25_PATHWAY","SYSTEMATIC_NAME":"M22031","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/H_cdc25Pathway.gif","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"cdc25 and chk1 Regulatory Pathway in response to DNA damage"}
{"STANDARD_NAME":"BIOCARTA_DSP_PATHWAY","SYSTEMATIC_NAME":"M22032","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_dspPathway.gif","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Regulation of MAP Kinase Pathways Through Dual Specificity Phosphatases"}
{"STANDARD_NAME":"BIOCARTA_NPC_PATHWAY","SYSTEMATIC_NAME":"M22033","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_npcPathway.gif","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Mechanism of Protein Import into the Nucleus"}
{"STANDARD_NAME":"BIOCARTA_FLUMAZENIL_PATHWAY","SYSTEMATIC_NAME":"M22034","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_FlumazenilPathway.gif","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Cardiac Protection Against ROS"}
{"STANDARD_NAME":"BIOCARTA_MELANOCYTE_PATHWAY","SYSTEMATIC_NAME":"M22035","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_melanocytePathway.gif","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Melanocyte Development and Pigmentation Pathway"}
{"STANDARD_NAME":"BIOCARTA_S1P_PATHWAY","SYSTEMATIC_NAME":"M22036","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_s1pPathway.gif","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"SREBP control of lipid synthesis"}
{"STANDARD_NAME":"BIOCARTA_HBX_PATHWAY","SYSTEMATIC_NAME":"M22037","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_hbxPathway.gif","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Calcium Signaling by HBx of Hepatitis B virus"}
{"STANDARD_NAME":"BIOCARTA_MALATEX_PATHWAY","SYSTEMATIC_NAME":"M22038","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_malatexPathway.gif","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Shuttle for transfer of acetyl groups from mitochondria to the cytosol"}
{"STANDARD_NAME":"BIOCARTA_TSP1_PATHWAY","SYSTEMATIC_NAME":"M22039","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_tsp1Pathway.gif","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"TSP-1 Induced Apoptosis in Microvascular Endothelial Cell"}
{"STANDARD_NAME":"BIOCARTA_NPP1_PATHWAY","SYSTEMATIC_NAME":"M22040","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_npp1Pathway.gif","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Regulators of Bone Mineralization"}
{"STANDARD_NAME":"BIOCARTA_CPSF_PATHWAY","SYSTEMATIC_NAME":"M22041","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_cpsfPathway.gif","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Polyadenylation of mRNA"}
{"STANDARD_NAME":"BIOCARTA_HES_PATHWAY","SYSTEMATIC_NAME":"M22042","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_hesPathway.gif","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Segmentation Clock"}
{"STANDARD_NAME":"BIOCARTA_ERBB4_PATHWAY","SYSTEMATIC_NAME":"M22043","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_erbb4Pathway.gif","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"g-Secretase mediated ErbB4 Signaling Pathway"}
{"STANDARD_NAME":"BIOCARTA_RHODOPSIN_PATHWAY","SYSTEMATIC_NAME":"M22044","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_rhodopsinPathway.gif","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Visual Signal Transduction"}
{"STANDARD_NAME":"BIOCARTA_RNAPOL3_PATHWAY","SYSTEMATIC_NAME":"M22046","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_RNApol3Pathway.gif","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"RNA polymerase III transcription"}
{"STANDARD_NAME":"BIOCARTA_TERC_PATHWAY","SYSTEMATIC_NAME":"M22047","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_tercPathway.gif","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Overview of telomerase RNA component gene hTerc Transcriptional Regulation"}
{"STANDARD_NAME":"BIOCARTA_EOSINOPHILS_PATHWAY","SYSTEMATIC_NAME":"M22048","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_eosinophilsPathway.gif","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"The Role of Eosinophils in the Chemokine Network of Allergy"}
{"STANDARD_NAME":"BIOCARTA_REELIN_PATHWAY","SYSTEMATIC_NAME":"M22049","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_reelinPathway.gif","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Reelin Signaling Pathway"}
{"STANDARD_NAME":"BIOCARTA_BARD1_PATHWAY","SYSTEMATIC_NAME":"M22050","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_bard1Pathway.gif","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"BRCA1-dependent Ub-ligase activity"}
{"STANDARD_NAME":"BIOCARTA_LDL_PATHWAY","SYSTEMATIC_NAME":"M22051","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_LDLpathway.gif","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Low-density lipoprotein (LDL) pathway during atherogenesis"}
{"STANDARD_NAME":"BIOCARTA_SAM68_PATHWAY","SYSTEMATIC_NAME":"M22052","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_sam68Pathway.gif","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Regulation of Splicing through Sam68"}
{"STANDARD_NAME":"BIOCARTA_FBW7_PATHWAY","SYSTEMATIC_NAME":"M22053","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_fbw7Pathway.gif","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Cyclin E Destruction Pathway"}
{"STANDARD_NAME":"BIOCARTA_CB1R_PATHWAY","SYSTEMATIC_NAME":"M22054","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_cb1rPathway.gif","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Metabolism of Anandamide, an Endogenous Cannabinoid"}
{"STANDARD_NAME":"BIOCARTA_SUMO_PATHWAY","SYSTEMATIC_NAME":"M22055","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_sumoPathway.gif","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Basic Mechanisms of SUMOylation"}
{"STANDARD_NAME":"BIOCARTA_IFNA_PATHWAY","SYSTEMATIC_NAME":"M22056","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_ifnaPathway.gif","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"IFN alpha signaling pathway"}
{"STANDARD_NAME":"BIOCARTA_PKC_PATHWAY","SYSTEMATIC_NAME":"M22057","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_pkcPathway.gif","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Activation of PKC through G protein coupled receptor"}
{"STANDARD_NAME":"BIOCARTA_PPARG_PATHWAY","SYSTEMATIC_NAME":"M22058","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_PPARgPathway.gif","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Role of PPAR-gamma Coactivators in Obesity and Thermogenesis"}
{"STANDARD_NAME":"BIOCARTA_ION_PATHWAY","SYSTEMATIC_NAME":"M22059","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_ionPathway.gif","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Ion Channel and Phorbal Esters Signaling Pathway"}
{"STANDARD_NAME":"BIOCARTA_PELP1_PATHWAY","SYSTEMATIC_NAME":"M22062","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_pelp1Pathway.gif","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Pelp1 Modulation of Estrogen Receptor Activity"}
{"STANDARD_NAME":"BIOCARTA_STAT3_PATHWAY","SYSTEMATIC_NAME":"M22063","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_stat3Pathway.gif","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Stat3 Signaling Pathway"}
{"STANDARD_NAME":"BIOCARTA_EEA1_PATHWAY","SYSTEMATIC_NAME":"M22064","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_eea1Pathway.gif","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"The role of FYVE-finger proteins in vesicle transport"}
{"STANDARD_NAME":"BIOCARTA_MITR_PATHWAY","SYSTEMATIC_NAME":"M22065","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_mitrPathway.gif","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Signal Dependent Regulation of Myogenesis by Corepressor MITR"}
{"STANDARD_NAME":"BIOCARTA_CIRCADIAN_PATHWAY","SYSTEMATIC_NAME":"M22067","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_circadianPathway.gif","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Circadian Rhythms"}
{"STANDARD_NAME":"BIOCARTA_RECK_PATHWAY","SYSTEMATIC_NAME":"M22068","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_reckPathway.gif","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Inhibition of Matrix Metalloproteinases"}
{"STANDARD_NAME":"BIOCARTA_MSP_PATHWAY","SYSTEMATIC_NAME":"M22069","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_mspPathway.gif","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Msp/Ron Receptor Signaling Pathway"}
{"STANDARD_NAME":"BIOCARTA_SLRP_PATHWAY","SYSTEMATIC_NAME":"M22071","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_slrpPathway.gif","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Small Leucine-rich Proteoglycan (SLRP) molecules"}
{"STANDARD_NAME":"BIOCARTA_ALTERNATIVE_PATHWAY","SYSTEMATIC_NAME":"M22072","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_alternativePathway.gif","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Alternative Complement Pathway"}
{"STANDARD_NAME":"BIOCARTA_FOSB_PATHWAY","SYSTEMATIC_NAME":"M22073","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_fosbPathway.gif","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"FOSB gene expression and drug abuse"}
{"STANDARD_NAME":"BIOCARTA_NOTCH_PATHWAY","SYSTEMATIC_NAME":"M22074","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_notchPathway.gif","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Proteolysis and Signaling Pathway of Notch"}
{"STANDARD_NAME":"BIOCARTA_TUBBY_PATHWAY","SYSTEMATIC_NAME":"M22076","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_tubbyPathway.gif","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"G-Protein Signaling Through Tubby Proteins"}
{"STANDARD_NAME":"BIOCARTA_MRP_PATHWAY","SYSTEMATIC_NAME":"M22078","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_mrpPathway.gif","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Multi-Drug Resistance Factors"}
{"STANDARD_NAME":"BIOCARTA_DICER_PATHWAY","SYSTEMATIC_NAME":"M22079","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_dicerPathway.gif","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Dicer Pathway"}
{"STANDARD_NAME":"BIOCARTA_PLCD_PATHWAY","SYSTEMATIC_NAME":"M22080","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_plcdPathway.gif","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Phospholipase C d1 in phospholipid associated cell signaling"}
{"STANDARD_NAME":"BIOCARTA_RAN_PATHWAY","SYSTEMATIC_NAME":"M22082","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_ranPathway.gif","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Cycling of Ran in nucleocytoplasmic transport"}
{"STANDARD_NAME":"BIOCARTA_WNT_LRP6_PATHWAY","SYSTEMATIC_NAME":"M22083","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_wnt-Lrp6Pathway.gif","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Wnt/LRP6 Signalling"}
{"STANDARD_NAME":"BIOCARTA_PEPI_PATHWAY","SYSTEMATIC_NAME":"M22084","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_pepiPathway.gif","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Proepithelin Conversion to Epithelin and Wound Repair Control"}
{"STANDARD_NAME":"BIOCARTA_IFNG_PATHWAY","SYSTEMATIC_NAME":"M22085","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_ifngPathway.gif","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"IFN gamma signaling pathway"}
{"STANDARD_NAME":"BIOCARTA_BOTULIN_PATHWAY","SYSTEMATIC_NAME":"M22086","ORGANISM":"Homo sapiens","EXTERNAL_DETAILS_URL":"https://data.broadinstitute.org/gsea-msigdb/msigdb/biocarta/human/h_botulinPathway.gif","CHIP":"Human_RefSeq","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:BIOCARTA","CONTRIBUTOR":"BioCarta","CONTRIBUTOR_ORG":"BioCarta","DESCRIPTION_BRIEF":"Blockade of Neurotransmitter Relase by Botulinum Toxin"}
{"STANDARD_NAME":"KEGG_N_GLYCAN_BIOSYNTHESIS","SYSTEMATIC_NAME":"M11079","ORGANISM":"Homo sapiens","EXACT_SOURCE":"hsa00510","EXTERNAL_DETAILS_URL":"http://www.genome.jp/kegg/pathway/hsa/hsa00510.html","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:KEGG","CONTRIBUTOR":"KEGG","CONTRIBUTOR_ORG":"Kyoto Encyclopedia of Genes and Genomes","DESCRIPTION_BRIEF":"N-Glycan biosynthesis","DESCRIPTION_FULL":"N-glycans or asparagine-linked glycans are major constituents of glycoproteins in eukaryotes. N-glycans are covalently attached to asparagine with the consensus sequence of Asn-X-Ser/Thr by an N-glycosidic bond, GlcNAc b1- Asn. Biosynthesis of N-glycans begins on the cytoplasmic face of the ER membrane with the transferase reaction of UDP-GlcNAc and the lipid-like precursor P-Dol (dolichol phosphate) to generate GlcNAc a1- PP-Dol. After sequential addition of monosaccharides by ALG glycosyltransferases, the N-glycan precursor is attached by the OST (oligosaccharyltransferase) complex to the polypeptide chain that is being synthesized and translocated through the ER membrane. The protein-bound N-glycan precursor is subsequently trimmed, extended, and modified in the ER and Golgi by a complex series of reactions catalyzed by membrane-bound glycosidases and glycosyltransferases. N-glycans thus synthesized are classified into three types: high-mannose type, complex type, and hybrid type. Defects in N-glycan biosynthesis lead to a variety of human diseases known as congenital disorders of glycosylation."}
{"STANDARD_NAME":"KEGG_OTHER_GLYCAN_DEGRADATION","SYSTEMATIC_NAME":"M17844","ORGANISM":"Homo sapiens","EXACT_SOURCE":"hsa00511","EXTERNAL_DETAILS_URL":"http://www.genome.jp/kegg/pathway/hsa/hsa00511.html","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:KEGG","CONTRIBUTOR":"KEGG","CONTRIBUTOR_ORG":"Kyoto Encyclopedia of Genes and Genomes","DESCRIPTION_BRIEF":"Other glycan degradation"}
{"STANDARD_NAME":"KEGG_O_GLYCAN_BIOSYNTHESIS","SYSTEMATIC_NAME":"M6929","ORGANISM":"Homo sapiens","EXACT_SOURCE":"hsa00512","EXTERNAL_DETAILS_URL":"http://www.genome.jp/kegg/pathway/hsa/hsa00512.html","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:KEGG","CONTRIBUTOR":"KEGG","CONTRIBUTOR_ORG":"Kyoto Encyclopedia of Genes and Genomes","DESCRIPTION_BRIEF":"O-Glycan biosynthesis","DESCRIPTION_FULL":"O-glycans are a class of glycans that modify serine or threonine residues of proteins. Biosynthesis of O-glycans starts from the transfer of N-acetylgalactosamine (GalNAc) to serine or threonine. The first GalNAc may be extended with sugars including galactose, N-acetylglucosamine, fucose, or sialic acid, but not mannose, glucose, or xylose. Depending on the sugars added, there are four common O-glycan core structures, cores 1 through 4, and an additional four, cores 5 though 8. Mucins are highly O-glycosylated glycoproteins ubiquitous in mucous secretions on cell surfaces and in body fluids. Mucin O-glycans can be branched, and many sugars or groups of sugars are antigenic. Important modifications of mucin O-glycans include O-acetylation of sialic acid and O-sulfation of galactose and N-acetylglucosamine."}
{"STANDARD_NAME":"KEGG_GLYCOSAMINOGLYCAN_DEGRADATION","SYSTEMATIC_NAME":"M3624","ORGANISM":"Homo sapiens","EXACT_SOURCE":"hsa00531","EXTERNAL_DETAILS_URL":"http://www.genome.jp/kegg/pathway/hsa/hsa00531.html","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:KEGG","CONTRIBUTOR":"KEGG","CONTRIBUTOR_ORG":"Kyoto Encyclopedia of Genes and Genomes","DESCRIPTION_BRIEF":"Glycosaminoglycan degradation"}
{"STANDARD_NAME":"KEGG_GLYCOSAMINOGLYCAN_BIOSYNTHESIS_KERATAN_SULFATE","SYSTEMATIC_NAME":"M3042","ORGANISM":"Homo sapiens","EXACT_SOURCE":"hsa00533","EXTERNAL_DETAILS_URL":"http://www.genome.jp/kegg/pathway/hsa/hsa00533.html","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:KEGG","CONTRIBUTOR":"KEGG","CONTRIBUTOR_ORG":"Kyoto Encyclopedia of Genes and Genomes","DESCRIPTION_BRIEF":"Glycosaminoglycan biosynthesis - keratan sulfate"}
{"STANDARD_NAME":"KEGG_GLYCEROLIPID_METABOLISM","SYSTEMATIC_NAME":"M15902","ORGANISM":"Homo sapiens","EXACT_SOURCE":"hsa00561","EXTERNAL_DETAILS_URL":"http://www.genome.jp/kegg/pathway/hsa/hsa00561.html","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:KEGG","CONTRIBUTOR":"KEGG","CONTRIBUTOR_ORG":"Kyoto Encyclopedia of Genes and Genomes","DESCRIPTION_BRIEF":"Glycerolipid metabolism"}
{"STANDARD_NAME":"KEGG_GLYCOSYLPHOSPHATIDYLINOSITOL_GPI_ANCHOR_BIOSYNTHESIS","SYSTEMATIC_NAME":"M13265","ORGANISM":"Homo sapiens","EXACT_SOURCE":"hsa00563","EXTERNAL_DETAILS_URL":"http://www.genome.jp/kegg/pathway/hsa/hsa00563.html","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:KEGG","CONTRIBUTOR":"KEGG","CONTRIBUTOR_ORG":"Kyoto Encyclopedia of Genes and Genomes","DESCRIPTION_BRIEF":"Glycosylphosphatidylinositol(GPI)-anchor biosynthesis","DESCRIPTION_FULL":"Cell surface proteins can be attached to the cell membrane via the glycolipid structure called glycosylphosphatidylinositol (GPI) anchor. Hundreds of GPI-anchored proteins have been identified in many eukaryotes ranging from protozoa and fungi to mammals. All protein-linked GPI anchors share a common core structure, characterized by the substructure Man (a14) GlcN (a1-6) myo-inositol-1P-lipid. Biosynthesis of GPI anchors proceeds in three stages: (i) preassembly of a GPI precursor in the ER membrane, (ii) attachment of the GPI to the C-terminus of a newly synthesized protein in the lumen of the ER, and (iii) lipid remodeling and/or carbohydrate side-chain modifications in the ER and the Golgi. Defects of GPI anchor biosynthesis gene result in a genetic disorder, paroxysmal nocturnal hemoglobinuria."}
{"STANDARD_NAME":"KEGG_GLYCEROPHOSPHOLIPID_METABOLISM","SYSTEMATIC_NAME":"M9131","ORGANISM":"Homo sapiens","EXACT_SOURCE":"hsa00564","EXTERNAL_DETAILS_URL":"http://www.genome.jp/kegg/pathway/hsa/hsa00564.html","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:KEGG","CONTRIBUTOR":"KEGG","CONTRIBUTOR_ORG":"Kyoto Encyclopedia of Genes and Genomes","DESCRIPTION_BRIEF":"Glycerophospholipid metabolism"}
{"STANDARD_NAME":"KEGG_ETHER_LIPID_METABOLISM","SYSTEMATIC_NAME":"M2130","ORGANISM":"Homo sapiens","EXACT_SOURCE":"hsa00565","EXTERNAL_DETAILS_URL":"http://www.genome.jp/kegg/pathway/hsa/hsa00565.html","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:KEGG","CONTRIBUTOR":"KEGG","CONTRIBUTOR_ORG":"Kyoto Encyclopedia of Genes and Genomes","DESCRIPTION_BRIEF":"Ether lipid metabolism"}
{"STANDARD_NAME":"KEGG_ARACHIDONIC_ACID_METABOLISM","SYSTEMATIC_NAME":"M5410","ORGANISM":"Homo sapiens","EXACT_SOURCE":"hsa00590","EXTERNAL_DETAILS_URL":"http://www.genome.jp/kegg/pathway/hsa/hsa00590.html","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:KEGG","CONTRIBUTOR":"KEGG","CONTRIBUTOR_ORG":"Kyoto Encyclopedia of Genes and Genomes","DESCRIPTION_BRIEF":"Arachidonic acid metabolism"}
{"STANDARD_NAME":"KEGG_LINOLEIC_ACID_METABOLISM","SYSTEMATIC_NAME":"M2920","ORGANISM":"Homo sapiens","EXACT_SOURCE":"hsa00591","EXTERNAL_DETAILS_URL":"http://www.genome.jp/kegg/pathway/hsa/hsa00591.html","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:KEGG","CONTRIBUTOR":"KEGG","CONTRIBUTOR_ORG":"Kyoto Encyclopedia of Genes and Genomes","DESCRIPTION_BRIEF":"Linoleic acid metabolism"}
{"STANDARD_NAME":"KEGG_ALPHA_LINOLENIC_ACID_METABOLISM","SYSTEMATIC_NAME":"M311","ORGANISM":"Homo sapiens","EXACT_SOURCE":"hsa00592","EXTERNAL_DETAILS_URL":"http://www.genome.jp/kegg/pathway/hsa/hsa00592.html","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:KEGG","CONTRIBUTOR":"KEGG","CONTRIBUTOR_ORG":"Kyoto Encyclopedia of Genes and Genomes","DESCRIPTION_BRIEF":"alpha-Linolenic acid metabolism"}
{"STANDARD_NAME":"KEGG_SPHINGOLIPID_METABOLISM","SYSTEMATIC_NAME":"M15955","ORGANISM":"Homo sapiens","EXACT_SOURCE":"hsa00600","EXTERNAL_DETAILS_URL":"http://www.genome.jp/kegg/pathway/hsa/hsa00600.html","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:KEGG","CONTRIBUTOR":"KEGG","CONTRIBUTOR_ORG":"Kyoto Encyclopedia of Genes and Genomes","DESCRIPTION_BRIEF":"Sphingolipid metabolism"}
{"STANDARD_NAME":"KEGG_GLYCOSPHINGOLIPID_BIOSYNTHESIS_LACTO_AND_NEOLACTO_SERIES","SYSTEMATIC_NAME":"M17377","ORGANISM":"Homo sapiens","EXACT_SOURCE":"hsa00601","EXTERNAL_DETAILS_URL":"http://www.genome.jp/kegg/pathway/hsa/hsa00601.html","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:KEGG","CONTRIBUTOR":"KEGG","CONTRIBUTOR_ORG":"Kyoto Encyclopedia of Genes and Genomes","DESCRIPTION_BRIEF":"Glycosphingolipid biosynthesis - lacto and neolacto series"}
{"STANDARD_NAME":"KEGG_GLYCOSPHINGOLIPID_BIOSYNTHESIS_GLOBO_SERIES","SYSTEMATIC_NAME":"M12899","ORGANISM":"Homo sapiens","EXACT_SOURCE":"hsa00603","EXTERNAL_DETAILS_URL":"http://www.genome.jp/kegg/pathway/hsa/hsa00603.html","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:KEGG","CONTRIBUTOR":"KEGG","CONTRIBUTOR_ORG":"Kyoto Encyclopedia of Genes and Genomes","DESCRIPTION_BRIEF":"Glycosphingolipid biosynthesis - globo series"}
{"STANDARD_NAME":"KEGG_GLYCOSPHINGOLIPID_BIOSYNTHESIS_GANGLIO_SERIES","SYSTEMATIC_NAME":"M8535","ORGANISM":"Homo sapiens","EXACT_SOURCE":"hsa00604","EXTERNAL_DETAILS_URL":"http://www.genome.jp/kegg/pathway/hsa/hsa00604.html","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:KEGG","CONTRIBUTOR":"KEGG","CONTRIBUTOR_ORG":"Kyoto Encyclopedia of Genes and Genomes","DESCRIPTION_BRIEF":"Glycosphingolipid biosynthesis - ganglio series"}
{"STANDARD_NAME":"KEGG_RIBOFLAVIN_METABOLISM","SYSTEMATIC_NAME":"M6889","ORGANISM":"Homo sapiens","EXACT_SOURCE":"hsa00740","EXTERNAL_DETAILS_URL":"http://www.genome.jp/kegg/pathway/hsa/hsa00740.html","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:KEGG","CONTRIBUTOR":"KEGG","CONTRIBUTOR_ORG":"Kyoto Encyclopedia of Genes and Genomes","DESCRIPTION_BRIEF":"Riboflavin metabolism"}
{"STANDARD_NAME":"KEGG_NICOTINATE_AND_NICOTINAMIDE_METABOLISM","SYSTEMATIC_NAME":"M19895","ORGANISM":"Homo sapiens","EXACT_SOURCE":"hsa00760","EXTERNAL_DETAILS_URL":"http://www.genome.jp/kegg/pathway/hsa/hsa00760.html","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:KEGG","CONTRIBUTOR":"KEGG","CONTRIBUTOR_ORG":"Kyoto Encyclopedia of Genes and Genomes","DESCRIPTION_BRIEF":"Nicotinate and nicotinamide metabolism"}
{"STANDARD_NAME":"KEGG_PANTOTHENATE_AND_COA_BIOSYNTHESIS","SYSTEMATIC_NAME":"M7528","ORGANISM":"Homo sapiens","EXACT_SOURCE":"hsa00770","EXTERNAL_DETAILS_URL":"http://www.genome.jp/kegg/pathway/hsa/hsa00770.html","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:KEGG","CONTRIBUTOR":"KEGG","CONTRIBUTOR_ORG":"Kyoto Encyclopedia of Genes and Genomes","DESCRIPTION_BRIEF":"Pantothenate and CoA biosynthesis"}
{"STANDARD_NAME":"KEGG_AMINOACYL_TRNA_BIOSYNTHESIS","SYSTEMATIC_NAME":"M14691","ORGANISM":"Homo sapiens","EXACT_SOURCE":"hsa00970","EXTERNAL_DETAILS_URL":"http://www.genome.jp/kegg/pathway/hsa/hsa00970.html","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:KEGG","CONTRIBUTOR":"KEGG","CONTRIBUTOR_ORG":"Kyoto Encyclopedia of Genes and Genomes","DESCRIPTION_BRIEF":"Aminoacyl-tRNA biosynthesis"}
{"STANDARD_NAME":"KEGG_BASAL_TRANSCRIPTION_FACTORS","SYSTEMATIC_NAME":"M4864","ORGANISM":"Homo sapiens","EXACT_SOURCE":"hsa03022","EXTERNAL_DETAILS_URL":"http://www.genome.jp/kegg/pathway/hsa/hsa03022.html","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:KEGG","CONTRIBUTOR":"KEGG","CONTRIBUTOR_ORG":"Kyoto Encyclopedia of Genes and Genomes","DESCRIPTION_BRIEF":"Basal transcription factors"}
{"STANDARD_NAME":"KEGG_NON_HOMOLOGOUS_END_JOINING","SYSTEMATIC_NAME":"M7857","ORGANISM":"Homo sapiens","EXACT_SOURCE":"hsa03450","EXTERNAL_DETAILS_URL":"http://www.genome.jp/kegg/pathway/hsa/hsa03450.html","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:KEGG","CONTRIBUTOR":"KEGG","CONTRIBUTOR_ORG":"Kyoto Encyclopedia of Genes and Genomes","DESCRIPTION_BRIEF":"Non-homologous end-joining","DESCRIPTION_FULL":"Nonhomologous end joining (NHEJ) eliminates DNA double-strand breaks (DSBs) by direct ligation. NHEJ involves binding of the KU heterodimer to double-stranded DNA ends, recruitment of DNA-PKcs (MRX complex in yeast), processing of ends, and recruitment of the DNA ligase IV (LIG4)-XRCC4 complex, which brings about ligation. A recent study shows that bacteria accomplish NHEJ using just two proteins (Ku and DNA ligase), whereas eukaryotes require many factors. NHEJ repairs DSBs at all stages of the cell cycle, bringing about the ligation of two DNA DSBs without the need for sequence homology, and so is error-prone."}
{"STANDARD_NAME":"KEGG_SNARE_INTERACTIONS_IN_VESICULAR_TRANSPORT","SYSTEMATIC_NAME":"M17857","ORGANISM":"Homo sapiens","EXACT_SOURCE":"hsa04130","EXTERNAL_DETAILS_URL":"http://www.genome.jp/kegg/pathway/hsa/hsa04130.html","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:KEGG","CONTRIBUTOR":"KEGG","CONTRIBUTOR_ORG":"Kyoto Encyclopedia of Genes and Genomes","DESCRIPTION_BRIEF":"SNARE interactions in vesicular transport"}
{"STANDARD_NAME":"KEGG_LYSOSOME","SYSTEMATIC_NAME":"M11266","ORGANISM":"Homo sapiens","EXACT_SOURCE":"hsa04142","EXTERNAL_DETAILS_URL":"http://www.genome.jp/kegg/pathway/hsa/hsa04142.html","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:KEGG","CONTRIBUTOR":"KEGG","CONTRIBUTOR_ORG":"Kyoto Encyclopedia of Genes and Genomes","DESCRIPTION_BRIEF":"Lysosome","DESCRIPTION_FULL":"Lysosomes are membrane-delimited organelles in animal cells serving as the cell's main digestive compartment to which all sorts of macromolecules are delivered for degradation. They contain more than 40 hydrolases in an acidic environment (pH of about 5). After synthesis in the ER, lysosomal enzymes are decorated with mannose-6-phosphate residues, which are recognized by mannose-6-phosphate receptors in the trans-Golgi network. They are packaged into clathrin-coated vesicles and are transported to late endosomes. Substances for digestion are acquired by the lysosomes via a series of processes including endocytosis, phagocytosis, and autophagy."}
{"STANDARD_NAME":"KEGG_CARDIAC_MUSCLE_CONTRACTION","SYSTEMATIC_NAME":"M17673","ORGANISM":"Homo sapiens","EXACT_SOURCE":"hsa04260","EXTERNAL_DETAILS_URL":"http://www.genome.jp/kegg/pathway/hsa/hsa04260.html","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:KEGG","CONTRIBUTOR":"KEGG","CONTRIBUTOR_ORG":"Kyoto Encyclopedia of Genes and Genomes","DESCRIPTION_BRIEF":"Cardiac muscle contraction","DESCRIPTION_FULL":"Contraction of the heart is a complex process initiated by the electrical excitation of cardiac myocytes (excitation-contraction coupling, ECC). In cardiac myocytes, Ca2+ influx induced by activation of voltage-dependent L-type Ca channels (DHP receptors) upon membrane depolarization triggers the release of Ca2+ via Ca2+ release channels (ryanodine receptors) of sarcoplasmic reticulum (SR) through a Ca2+ -induced Ca release (CICR) mechanism. Ca2+ ions released via the CICR mechanism diffuse through the cytosolic space to contractile proteins to bind to troponinC resulting in the release of inhibition induced by troponinI. The Ca2+ binding to troponinC thereby triggers the sliding of thin and thick filaments, that is, the activation of a crossbridge and subsequent cardiac force development and/or cell shortening. Recovery occurs as Ca2+ is pumped out of the cell by the Na+/Ca2+ exchanger (NCX) or is returned to the sarcoplasmic reticulum (SR) by sarco(endo)plasmic Ca2+ -ATPase (SERCA) pumps on the non-junctional region of the SR."}
{"STANDARD_NAME":"KEGG_RENIN_ANGIOTENSIN_SYSTEM","SYSTEMATIC_NAME":"M17636","ORGANISM":"Homo sapiens","EXACT_SOURCE":"hsa04614","EXTERNAL_DETAILS_URL":"http://www.genome.jp/kegg/pathway/hsa/hsa04614.html","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:KEGG","CONTRIBUTOR":"KEGG","CONTRIBUTOR_ORG":"Kyoto Encyclopedia of Genes and Genomes","DESCRIPTION_BRIEF":"Renin-angiotensin system"}
{"STANDARD_NAME":"KEGG_CIRCADIAN_RHYTHM_MAMMAL","SYSTEMATIC_NAME":"M18009","ORGANISM":"Homo sapiens","EXACT_SOURCE":"hsa04710","EXTERNAL_DETAILS_URL":"http://www.genome.jp/kegg/pathway/hsa/hsa04710.html","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:KEGG","CONTRIBUTOR":"KEGG","CONTRIBUTOR_ORG":"Kyoto Encyclopedia of Genes and Genomes","DESCRIPTION_BRIEF":"Circadian rhythm - mammal"}
{"STANDARD_NAME":"KEGG_TASTE_TRANSDUCTION","SYSTEMATIC_NAME":"M5785","ORGANISM":"Homo sapiens","EXACT_SOURCE":"hsa04742","EXTERNAL_DETAILS_URL":"http://www.genome.jp/kegg/pathway/hsa/hsa04742.html","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:KEGG","CONTRIBUTOR":"KEGG","CONTRIBUTOR_ORG":"Kyoto Encyclopedia of Genes and Genomes","DESCRIPTION_BRIEF":"Taste transduction","DESCRIPTION_FULL":"All taste pathways are proposed to converge on common elements that mediate a rise in intracellular Ca2+ followed by neurotransmitter release. Na+ salt depolarizes taste cells by passive influx of Na+ through the amiloride-sensitive Na+ channel (ENaC). Acids depolarize taste cells by a variety of mechanisms, including influx of protons (H+) through ENaC and a proton-gated cation channel (MDEG). Two putative umami receptors have been identified: a truncated variant of the metabotropic glutamate receptor mGluR4 and the heterodimer, T1R1 + T1R3. Umami receptors are coupled to a signaling pathway involving activation of PLCbeta2, production of IP3 and diacylglycerol, release of Ca2+ from intracellular stores and activation of a transient receptor potential channel, TRPM5. Bitter compounds, such as denatonium and PROP, activate particular T2R/TRB isoforms, which activate gustducin heterotrimers. Activated alpha-gustducin stimulates PDE to hydrolyze cAMP, whereas betagamma subunits activate PLCbeta2 to generate IP3, which leads to release of Ca2+ from internal stores. Artificial sweeteners activate GPCRs (T1R heterodimers) apparently linked via PLC to IP3 production and release of Ca2+ from intracellular stores. Sugars apparently activate GPCRs linked via AC to cAMP production which, in turn, may inhibit basolateral K+ channels through phosphorylation by cAMP-activated protein kinase A (PKA)."}
{"STANDARD_NAME":"KEGG_PROXIMAL_TUBULE_BICARBONATE_RECLAMATION","SYSTEMATIC_NAME":"M4361","ORGANISM":"Homo sapiens","EXACT_SOURCE":"hsa04964","EXTERNAL_DETAILS_URL":"http://www.genome.jp/kegg/pathway/hsa/hsa04964.html","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:KEGG","CONTRIBUTOR":"KEGG","CONTRIBUTOR_ORG":"Kyoto Encyclopedia of Genes and Genomes","DESCRIPTION_BRIEF":"Proximal tubule bicarbonate reclamation","DESCRIPTION_FULL":"One of the major tasks of the renal proximal tubule (PT) is to secrete acid into the tubule lumen, thereby reabsorbing approximately 80% of the filtered bicarbonate (HCO3(-)), as well as generating new HCO3(-) for regulating blood pH. In the tubular lumen, filtered HCO3(-) combines with H(+) in a reaction catalyzed by CA IV. The CO2 thus produced rapidly diffuses into the tubular cells and is combined with water to produce intracellular H(+) and HCO3(-), catalyzed by soluble cytoplasmic CA II. HCO3(-) is then cotransported with Na(+) into blood via the NBC-1. The intracellular H(+) produced by CA II is secreted into the tubular lumen predominantly via the NHE-3. The PT creates the new HCO3(-) by taking glutamine and metabolizing it to two molecules each of NH4(+) and HCO3(-). The NH4(+) is excreted into the tubular lumen, and the HCO3(-) , which is new HCO3(-) , is returned to the blood, where it replaces the HCO3(-) lost earlier in the titration of nonvolatile acids."}
{"STANDARD_NAME":"KEGG_PATHOGENIC_ESCHERICHIA_COLI_INFECTION","SYSTEMATIC_NAME":"M2333","ORGANISM":"Homo sapiens","EXACT_SOURCE":"hsa05130","EXTERNAL_DETAILS_URL":"http://www.genome.jp/kegg/pathway/hsa/hsa05130.html","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:KEGG","CONTRIBUTOR":"KEGG","CONTRIBUTOR_ORG":"Kyoto Encyclopedia of Genes and Genomes","DESCRIPTION_BRIEF":"Pathogenic Escherichia coli infection","DESCRIPTION_FULL":"Eenteropathogenic E. coli (EPEC) and enterohemorrhagic E. coli (EHEC) are closely related pathogenic strains of Escherichia coli. The hallmark of EPEC/EHEC infections is induction of attaching and effacing (A/E) lesions that damage intestinal epithelial cells. The capacity to form A/E lesions is encoded mainly by the locus of enterocyte effacement (LEE) pathogenicity island. Tir, Map, EspF, EspG are known LEE-encoded effector proteins secreted via the type III secretion system, which is also LEE-encoded, into the host cell. EPEC and EHEC Tir's link the extracellular bacterium to the cell cytoskeleton. Map and EspF are involved in mitochondrion membrane permeabilization. EspG interacts with tubulins and stimulates microtubule destabilization. LEE-encoded adhesin or intimin (Eae) is exported via the general secretory pathway to the periplasm, where it is inserted into the outer membrane. In addition to Tir, two potential host cell-carried intimin receptors, beta1 integrin (ITGB1) and nucleolin (NCL), have so far been identified. The distinguishing feature of EHEC is the elaboration of Shiga-like toxin (Stx). Stx cleaves ribosomal RNA, thereby disrupting protein synthesis and killing the intoxicated epithelial or endothelial cells."}
{"STANDARD_NAME":"KEGG_SYSTEMIC_LUPUS_ERYTHEMATOSUS","SYSTEMATIC_NAME":"M4741","ORGANISM":"Homo sapiens","EXACT_SOURCE":"hsa05322","EXTERNAL_DETAILS_URL":"http://www.genome.jp/kegg/pathway/hsa/hsa05322.html","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:KEGG","CONTRIBUTOR":"KEGG","CONTRIBUTOR_ORG":"Kyoto Encyclopedia of Genes and Genomes","DESCRIPTION_BRIEF":"Systemic lupus erythematosus","DESCRIPTION_FULL":"Systemic lupus erythematosus (SLE) is characterized by circulating IgG autoantibodies that are specific for self-antigens, such as DNA, nuclear proteins and certain cytoplasmic components. Immune complexes comprising autoantibody and self-antigen is deposited particulary in the renal glomeruli and mediate a systemic inflammatory response by activating complement or via Fc-gamma-R-mediated neutrophil and macrophage activation. Activation of complement leads to injury both through formation of the membrane attack complex (C5b-9) or by generation of the anaphylatoxin and cell activator C5a. Neutrophils and macrophages cause tissue injury by the release of oxidants and proteases."}
{"STANDARD_NAME":"KEGG_PRIMARY_IMMUNODEFICIENCY","SYSTEMATIC_NAME":"M4085","ORGANISM":"Homo sapiens","EXACT_SOURCE":"hsa05340","EXTERNAL_DETAILS_URL":"http://www.genome.jp/kegg/pathway/hsa/hsa05340.html","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:KEGG","CONTRIBUTOR":"KEGG","CONTRIBUTOR_ORG":"Kyoto Encyclopedia of Genes and Genomes","DESCRIPTION_BRIEF":"Primary immunodeficiency","DESCRIPTION_FULL":"Primary immunodeficiencies (PIs) are a heterogeneous group of disorders, which affect cellular and humoral immunity or non-specific host defense mechanisms mediated by complement proteins, and cells such as phagocytes and natural killer (NK) cells. These disorders of the immune system cause increased susceptibility to infection, autoimmune disease, and malignancy. Most of PIs are due to genetic defects that affect cell maturation or function at different levels during hematopoiesis. Disruption of the cellular immunity is observed in patients with defects in T cells or both T and B cells. These cellular immunodeficiencies comprise 20% of all PIs. Disorders of humoral immunity affect B-cell differentiation and antibody production. They account for 70% of all PIs."}
{"STANDARD_NAME":"KEGG_HYPERTROPHIC_CARDIOMYOPATHY_HCM","SYSTEMATIC_NAME":"M8728","ORGANISM":"Homo sapiens","EXACT_SOURCE":"hsa05410","EXTERNAL_DETAILS_URL":"http://www.genome.jp/kegg/pathway/hsa/hsa05410.html","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:KEGG","CONTRIBUTOR":"KEGG","CONTRIBUTOR_ORG":"Kyoto Encyclopedia of Genes and Genomes","DESCRIPTION_BRIEF":"Hypertrophic cardiomyopathy (HCM)","DESCRIPTION_FULL":"Hypertrophic cardiomyopathy (HCM) is a primary myocardial disorder with an autosomal dominant pattern of inheritance that is characterized by hypertrophy of the left ventricles with histological features of myocyte hypertrophy, myofibrillar disarray, and interstitial fibrosis. HCM is one of the most common inherited cardiac disorders, with a prevalence in young adults of 1 in 500. Hundreds of mutations in 11 genes that encode protein constituents of the sarcomere have been identified in HCM. These mutations increase the Ca2+ sensitivity of cardiac myofilaments. Increased myofilament Ca2+ sensitivity is expected to increase the ATP utilization by actomyosin at submaximal Ca2+ concentrations, which might cause an imbalance in energy supply and demand in the heart under severe stress. The inefficient use of ATP suggests that an inability to maintain normal ATP levels could be the central abnormality. This theory might be supported by the discovery of the role of a mutant PRKAG2 gene in HCM, which in active form acts as a central sensing mechanism protecting cells from depletion of ATP supplies. The increase in the myofilament Ca2+ sensitivity well account for the diastolic dysfunction of model animals as well as human patients of HCM. It has been widely proposed that left ventricular hypertrophy is not a primary manifestation but develops as compensatory response to sarcomere dysfunction."}
{"STANDARD_NAME":"KEGG_ARRHYTHMOGENIC_RIGHT_VENTRICULAR_CARDIOMYOPATHY_ARVC","SYSTEMATIC_NAME":"M16376","ORGANISM":"Homo sapiens","EXACT_SOURCE":"hsa05412","EXTERNAL_DETAILS_URL":"http://www.genome.jp/kegg/pathway/hsa/hsa05412.html","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:KEGG","CONTRIBUTOR":"KEGG","CONTRIBUTOR_ORG":"Kyoto Encyclopedia of Genes and Genomes","DESCRIPTION_BRIEF":"Arrhythmogenic right ventricular cardiomyopathy (ARVC)","DESCRIPTION_FULL":"Arrhythmogenic right ventricular cardiomyopathy (ARVC) is an inherited heart muscle disease that may result in arrhythmia, heart failure, and sudden death. The hallmark pathological findings are progressive myocyte loss and fibrofatty replacement, with a predilection for the right ventricle. A number of genetic studies have identified mutations in various components of the cardiac desmosome that have important roles in the pathogenesis of ARVD/C. Disruption of desmosomal function by defective proteins might lead to death of myocytes under mechanical stress. The myocardial injury may be accompanied by inflammation. Since regeneration of cardiac myocytes is limited, repair by fibrofatty replacement occurs. Several studies have implicated that desmosome dysfunction results in the delocalization and nuclear translocation of plakoglobin. As a result, competition between plakoglobin and beta-catenin will lead to the inhibition of Wnt/beta-catenin signaling, resulting in a shift from a myocyte fate towards an adipocyte fate of cells. The ryanodine receptor plays a crucial part in electromechanical coupling by control of release of calcium from the sarcoplasmic reticulum into the cytosol. Therefore, defects in this receptor could result in an imbalance of calcium homeostasis that might trigger cell death."}
{"STANDARD_NAME":"KEGG_DILATED_CARDIOMYOPATHY","SYSTEMATIC_NAME":"M835","ORGANISM":"Homo sapiens","EXACT_SOURCE":"hsa05414","EXTERNAL_DETAILS_URL":"http://www.genome.jp/kegg/pathway/hsa/hsa05414.html","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:KEGG","CONTRIBUTOR":"KEGG","CONTRIBUTOR_ORG":"Kyoto Encyclopedia of Genes and Genomes","DESCRIPTION_BRIEF":"Dilated cardiomyopathy","DESCRIPTION_FULL":"Dilated cardiomyopathy (DCM) is a heart muscle disease characterised by dilation and impaired contraction of the left or both ventricles that results in progressive heart failure and sudden cardiac death from ventricular arrhythmia. Genetically inherited forms of DCM (familial DCM) have been identified in 25-35% of patients presenting with this disease, and the inherited gene defects are an important cause of familial DCM. The pathophysiology may be separated into two categories: defects in force generation and defects in force transmission. In cases where an underlying pathology cannot be identified, the patient is diagnosed with an idiopathic DCM. Current hypotheses regarding causes of idiopathic DCM focus on chronic viral myocarditis and/or on autoimmune abnormalities. Viral myocarditis may progress to an autoimmune phase and then to progressive cardiac dilatation. Antibodies to the beta1-adrenergic receptor (beta1AR), which are detected in a substantial number of patients with idiopathic DCM, may increase the concentration of intracellular cAMP and intracellular Ca2+, a condition often leading to a transient hyper-performance of the heart followed by depressed heart function and heart failure."}
{"STANDARD_NAME":"PID_HDAC_CLASSII_PATHWAY","SYSTEMATIC_NAME":"M30","ORGANISM":"Homo sapiens","PMID":"18832364","AUTHORS":"Schaefer CF,Anthony K,Krupa S,Buchoff J,Day M,Hannay T,Buetow KH","CHIP":"Human_UniProt_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:PID","CONTRIBUTOR":"Pathway Interaction Database","CONTRIBUTOR_ORG":"NCI, NIH and Nature Publishing Group","DESCRIPTION_BRIEF":"Signaling events mediated by HDAC Class II"}
{"STANDARD_NAME":"PID_DNA_PK_PATHWAY","SYSTEMATIC_NAME":"M42","ORGANISM":"Homo sapiens","PMID":"18832364","AUTHORS":"Schaefer CF,Anthony K,Krupa S,Buchoff J,Day M,Hannay T,Buetow KH","CHIP":"Human_UniProt_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:PID","CONTRIBUTOR":"Pathway Interaction Database","CONTRIBUTOR_ORG":"NCI, NIH and Nature Publishing Group","DESCRIPTION_BRIEF":"DNA-PK pathway in nonhomologous end joining"}
{"STANDARD_NAME":"PID_INTEGRIN_CS_PATHWAY","SYSTEMATIC_NAME":"M47","ORGANISM":"Homo sapiens","PMID":"18832364","AUTHORS":"Schaefer CF,Anthony K,Krupa S,Buchoff J,Day M,Hannay T,Buetow KH","CHIP":"Human_UniProt_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:PID","CONTRIBUTOR":"Pathway Interaction Database","CONTRIBUTOR_ORG":"NCI, NIH and Nature Publishing Group","DESCRIPTION_BRIEF":"Integrin family cell surface interactions"}
{"STANDARD_NAME":"PID_ARF6_TRAFFICKING_PATHWAY","SYSTEMATIC_NAME":"M67","ORGANISM":"Homo sapiens","PMID":"18832364","AUTHORS":"Schaefer CF,Anthony K,Krupa S,Buchoff J,Day M,Hannay T,Buetow KH","CHIP":"Human_UniProt_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:PID","CONTRIBUTOR":"Pathway Interaction Database","CONTRIBUTOR_ORG":"NCI, NIH and Nature Publishing Group","DESCRIPTION_BRIEF":"Arf6 trafficking events"}
{"STANDARD_NAME":"PID_ILK_PATHWAY","SYSTEMATIC_NAME":"M71","ORGANISM":"Homo sapiens","PMID":"18832364","AUTHORS":"Schaefer CF,Anthony K,Krupa S,Buchoff J,Day M,Hannay T,Buetow KH","CHIP":"Human_UniProt_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:PID","CONTRIBUTOR":"Pathway Interaction Database","CONTRIBUTOR_ORG":"NCI, NIH and Nature Publishing Group","DESCRIPTION_BRIEF":"Integrin-linked kinase signaling"}
{"STANDARD_NAME":"PID_CIRCADIAN_PATHWAY","SYSTEMATIC_NAME":"M95","ORGANISM":"Homo sapiens","PMID":"18832364","AUTHORS":"Schaefer CF,Anthony K,Krupa S,Buchoff J,Day M,Hannay T,Buetow KH","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:PID","CONTRIBUTOR":"Pathway Interaction Database","CONTRIBUTOR_ORG":"NCI, NIH and Nature Publishing Group","DESCRIPTION_BRIEF":"Circadian rhythm pathway"}
{"STANDARD_NAME":"PID_HDAC_CLASSI_PATHWAY","SYSTEMATIC_NAME":"M101","ORGANISM":"Homo sapiens","PMID":"18832364","AUTHORS":"Schaefer CF,Anthony K,Krupa S,Buchoff J,Day M,Hannay T,Buetow KH","CHIP":"HUMAN_SEQ_ACCESSION","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:PID","CONTRIBUTOR":"Pathway Interaction Database","CONTRIBUTOR_ORG":"NCI, NIH and Nature Publishing Group","DESCRIPTION_BRIEF":"Signaling events mediated by HDAC Class I"}
{"STANDARD_NAME":"PID_CONE_PATHWAY","SYSTEMATIC_NAME":"M117","ORGANISM":"Homo sapiens","PMID":"18832364","AUTHORS":"Schaefer CF,Anthony K,Krupa S,Buchoff J,Day M,Hannay T,Buetow KH","CHIP":"Human_UniProt_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:PID","CONTRIBUTOR":"Pathway Interaction Database","CONTRIBUTOR_ORG":"NCI, NIH and Nature Publishing Group","DESCRIPTION_BRIEF":"Visual signal transduction: Cones"}
{"STANDARD_NAME":"PID_ERB_GENOMIC_PATHWAY","SYSTEMATIC_NAME":"M119","ORGANISM":"Homo sapiens","PMID":"18832364","AUTHORS":"Schaefer CF,Anthony K,Krupa S,Buchoff J,Day M,Hannay T,Buetow KH","CHIP":"Human_UniProt_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:PID","CONTRIBUTOR":"Pathway Interaction Database","CONTRIBUTOR_ORG":"NCI, NIH and Nature Publishing Group","DESCRIPTION_BRIEF":"Validated nuclear estrogen receptor beta network"}
{"STANDARD_NAME":"PID_VEGF_VEGFR_PATHWAY","SYSTEMATIC_NAME":"M137","ORGANISM":"Homo sapiens","PMID":"18832364","AUTHORS":"Schaefer CF,Anthony K,Krupa S,Buchoff J,Day M,Hannay T,Buetow KH","CHIP":"Human_UniProt_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:PID","CONTRIBUTOR":"Pathway Interaction Database","CONTRIBUTOR_ORG":"NCI, NIH and Nature Publishing Group","DESCRIPTION_BRIEF":"VEGF and VEGFR signaling network"}
{"STANDARD_NAME":"PID_MYC_PATHWAY","SYSTEMATIC_NAME":"M139","ORGANISM":"Homo sapiens","PMID":"18832364","AUTHORS":"Schaefer CF,Anthony K,Krupa S,Buchoff J,Day M,Hannay T,Buetow KH","CHIP":"Human_UniProt_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:PID","CONTRIBUTOR":"Pathway Interaction Database","CONTRIBUTOR_ORG":"NCI, NIH and Nature Publishing Group","DESCRIPTION_BRIEF":"C-MYC pathway"}
{"STANDARD_NAME":"PID_RANBP2_PATHWAY","SYSTEMATIC_NAME":"M140","ORGANISM":"Homo sapiens","PMID":"18832364","AUTHORS":"Schaefer CF,Anthony K,Krupa S,Buchoff J,Day M,Hannay T,Buetow KH","CHIP":"Human_UniProt_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:PID","CONTRIBUTOR":"Pathway Interaction Database","CONTRIBUTOR_ORG":"NCI, NIH and Nature Publishing Group","DESCRIPTION_BRIEF":"Sumoylation by RanBP2 regulates transcriptional repression"}
{"STANDARD_NAME":"PID_AR_TF_PATHWAY","SYSTEMATIC_NAME":"M151","ORGANISM":"Homo sapiens","PMID":"18832364","AUTHORS":"Schaefer CF,Anthony K,Krupa S,Buchoff J,Day M,Hannay T,Buetow KH","CHIP":"Human_UniProt_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:PID","CONTRIBUTOR":"Pathway Interaction Database","CONTRIBUTOR_ORG":"NCI, NIH and Nature Publishing Group","DESCRIPTION_BRIEF":"Regulation of Androgen receptor activity"}
{"STANDARD_NAME":"PID_RXR_VDR_PATHWAY","SYSTEMATIC_NAME":"M162","ORGANISM":"Homo sapiens","PMID":"18832364","AUTHORS":"Schaefer CF,Anthony K,Krupa S,Buchoff J,Day M,Hannay T,Buetow KH","CHIP":"Human_UniProt_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:PID","CONTRIBUTOR":"Pathway Interaction Database","CONTRIBUTOR_ORG":"NCI, NIH and Nature Publishing Group","DESCRIPTION_BRIEF":"RXR and RAR heterodimerization with other nuclear receptor"}
{"STANDARD_NAME":"PID_INTEGRIN2_PATHWAY","SYSTEMATIC_NAME":"M169","ORGANISM":"Homo sapiens","PMID":"18832364","AUTHORS":"Schaefer CF,Anthony K,Krupa S,Buchoff J,Day M,Hannay T,Buetow KH","CHIP":"Human_UniProt_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:PID","CONTRIBUTOR":"Pathway Interaction Database","CONTRIBUTOR_ORG":"NCI, NIH and Nature Publishing Group","DESCRIPTION_BRIEF":"Beta2 integrin cell surface interactions"}
{"STANDARD_NAME":"PID_CMYB_PATHWAY","SYSTEMATIC_NAME":"M195","ORGANISM":"Homo sapiens","PMID":"18832364","AUTHORS":"Schaefer CF,Anthony K,Krupa S,Buchoff J,Day M,Hannay T,Buetow KH","CHIP":"Human_UniProt_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:PID","CONTRIBUTOR":"Pathway Interaction Database","CONTRIBUTOR_ORG":"NCI, NIH and Nature Publishing Group","DESCRIPTION_BRIEF":"C-MYB transcription factor network"}
{"STANDARD_NAME":"PID_ERA_GENOMIC_PATHWAY","SYSTEMATIC_NAME":"M200","ORGANISM":"Homo sapiens","PMID":"18832364","AUTHORS":"Schaefer CF,Anthony K,Krupa S,Buchoff J,Day M,Hannay T,Buetow KH","CHIP":"Human_UniProt_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:PID","CONTRIBUTOR":"Pathway Interaction Database","CONTRIBUTOR_ORG":"NCI, NIH and Nature Publishing Group","DESCRIPTION_BRIEF":"Validated nuclear estrogen receptor alpha network"}
{"STANDARD_NAME":"PID_RHODOPSIN_PATHWAY","SYSTEMATIC_NAME":"M204","ORGANISM":"Homo sapiens","PMID":"18832364","AUTHORS":"Schaefer CF,Anthony K,Krupa S,Buchoff J,Day M,Hannay T,Buetow KH","CHIP":"Human_UniProt_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:PID","CONTRIBUTOR":"Pathway Interaction Database","CONTRIBUTOR_ORG":"NCI, NIH and Nature Publishing Group","DESCRIPTION_BRIEF":"Visual signal transduction: Rods"}
{"STANDARD_NAME":"PID_RETINOIC_ACID_PATHWAY","SYSTEMATIC_NAME":"M207","ORGANISM":"Homo sapiens","PMID":"18832364","AUTHORS":"Schaefer CF,Anthony K,Krupa S,Buchoff J,Day M,Hannay T,Buetow KH","CHIP":"Human_UniProt_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:PID","CONTRIBUTOR":"Pathway Interaction Database","CONTRIBUTOR_ORG":"NCI, NIH and Nature Publishing Group","DESCRIPTION_BRIEF":"Retinoic acid receptors-mediated signaling"}
{"STANDARD_NAME":"PID_INTEGRIN5_PATHWAY","SYSTEMATIC_NAME":"M212","ORGANISM":"Homo sapiens","PMID":"18832364","AUTHORS":"Schaefer CF,Anthony K,Krupa S,Buchoff J,Day M,Hannay T,Buetow KH","CHIP":"Human_UniProt_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:PID","CONTRIBUTOR":"Pathway Interaction Database","CONTRIBUTOR_ORG":"NCI, NIH and Nature Publishing Group","DESCRIPTION_BRIEF":"Beta5 beta6 beta7 and beta8 integrin cell surface interactions"}
{"STANDARD_NAME":"PID_HNF3A_PATHWAY","SYSTEMATIC_NAME":"M285","ORGANISM":"Homo sapiens","PMID":"18832364","AUTHORS":"Schaefer CF,Anthony K,Krupa S,Buchoff J,Day M,Hannay T,Buetow KH","CHIP":"Human_UniProt_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:PID","CONTRIBUTOR":"Pathway Interaction Database","CONTRIBUTOR_ORG":"NCI, NIH and Nature Publishing Group","DESCRIPTION_BRIEF":"FOXA1 transcription factor network"}
{"STANDARD_NAME":"NABA_COLLAGENS","SYSTEMATIC_NAME":"M3005","ORGANISM":"Homo sapiens","PMID":"22159717","AUTHORS":"Naba A,Clauser KR,Hoersch S,Liu H,Carr SA,Hynes RO","EXTERNAL_DETAILS_URL":"http://matrisome.org","CHIP":"HGNC_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP","CONTRIBUTOR":"Alexandra Naba","CONTRIBUTOR_ORG":"Massachusetts Institute of Technology","DESCRIPTION_BRIEF":"Genes encoding collagen proteins","DESCRIPTION_FULL":"One hallmark of ECM proteins is their domain-based structure. Exploiting this characteristic, we established a list of diagnostic InterPro domains commonly found in ECM proteins. This domain list was used to screen the UniProt protein database. We know that some of the domains used to select positively for ECM proteins are also found in transmembrane receptors and proteins involved in cell adhesion (growth factor receptors, integrins, etc) that do not belong to the ECM. These families of proteins also display a subset of specific domains and transmembrane domains incompatible with definition as “extracellular matrix” proteins. Therefore, a second step comprised a negative selection using another set of domains and a transmembrane domain prediction. Manual curation of the matrisome lists also allowed us to add a very few known ECM proteins that do not contain any known domains. Protein-centric predictions were then converted to gene-centric lists. Finally, knowledge-based annotation of these gene lists allowed us to define subcategories within the core matrisome; namely, ECM glycoproteins, collagens, and proteoglycans. We also defined separate lists of domains commonly found in 1) ECM-affiliated proteins (proteins that share either some architectural similarities with ECM proteins or that are known to be associated with ECM proteins; 2) ECM regulators: ECM-remodeling enzymes, crosslinkers, proteases, regulators etc.; 3) secreted factors, many of which are known to bind to ECM and others that may. As for the core matrisome list, we also defined lists of domains that excluded mis-assigned proteins from these categories. Using similar bioinformatic pipelines as for the core matrisome, we defined three categories of “matrisome-associated” proteins: ECM-affiliated proteins, ECM regulators, and secreted factors."}
{"STANDARD_NAME":"NABA_ECM_GLYCOPROTEINS","SYSTEMATIC_NAME":"M3008","ORGANISM":"Homo sapiens","PMID":"22159717","AUTHORS":"Naba A,Clauser KR,Hoersch S,Liu H,Carr SA,Hynes RO","EXTERNAL_DETAILS_URL":"http://matrisome.org","CHIP":"HGNC_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP","CONTRIBUTOR":"Alexandra Naba","CONTRIBUTOR_ORG":"Massachusetts Institute of Technology","DESCRIPTION_BRIEF":"Genes encoding structural ECM glycoproteins","DESCRIPTION_FULL":"One hallmark of ECM proteins is their domain-based structure. Exploiting this characteristic, we established a list of diagnostic InterPro domains commonly found in ECM proteins. This domain list was used to screen the UniProt protein database. We know that some of the domains used to select positively for ECM proteins are also found in transmembrane receptors and proteins involved in cell adhesion (growth factor receptors, integrins, etc) that do not belong to the ECM. These families of proteins also display a subset of specific domains and transmembrane domains incompatible with definition as “extracellular matrix” proteins. Therefore, a second step comprised a negative selection using another set of domains and a transmembrane domain prediction. Manual curation of the matrisome lists also allowed us to add a very few known ECM proteins that do not contain any known domains. Protein-centric predictions were then converted to gene-centric lists. Finally, knowledge-based annotation of these gene lists allowed us to define subcategories within the core matrisome; namely, ECM glycoproteins, collagens, and proteoglycans. We also defined separate lists of domains commonly found in 1) ECM-affiliated proteins (proteins that share either some architectural similarities with ECM proteins or that are known to be associated with ECM proteins; 2) ECM regulators: ECM-remodeling enzymes, crosslinkers, proteases, regulators etc.; 3) secreted factors, many of which are known to bind to ECM and others that may. As for the core matrisome list, we also defined lists of domains that excluded mis-assigned proteins from these categories. Using similar bioinformatic pipelines as for the core matrisome, we defined three categories of “matrisome-associated” proteins: ECM-affiliated proteins, ECM regulators, and secreted factors."}
{"STANDARD_NAME":"NABA_ECM_REGULATORS","SYSTEMATIC_NAME":"M3468","ORGANISM":"Homo sapiens","PMID":"22159717","AUTHORS":"Naba A,Clauser KR,Hoersch S,Liu H,Carr SA,Hynes RO","EXTERNAL_DETAILS_URL":"http://matrisome.org","CHIP":"HGNC_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP","CONTRIBUTOR":"Alexandra Naba","CONTRIBUTOR_ORG":"Massachusetts Institute of Technology","DESCRIPTION_BRIEF":"Genes encoding enzymes and their regulators involved in the remodeling of the extracellular matrix","DESCRIPTION_FULL":"One hallmark of ECM proteins is their domain-based structure. Exploiting this characteristic, we established a list of diagnostic InterPro domains commonly found in ECM proteins. This domain list was used to screen the UniProt protein database. We know that some of the domains used to select positively for ECM proteins are also found in transmembrane receptors and proteins involved in cell adhesion (growth factor receptors, integrins, etc) that do not belong to the ECM. These families of proteins also display a subset of specific domains and transmembrane domains incompatible with definition as “extracellular matrix” proteins. Therefore, a second step comprised a negative selection using another set of domains and a transmembrane domain prediction. Manual curation of the matrisome lists also allowed us to add a very few known ECM proteins that do not contain any known domains. Protein-centric predictions were then converted to gene-centric lists. Finally, knowledge-based annotation of these gene lists allowed us to define subcategories within the core matrisome; namely, ECM glycoproteins, collagens, and proteoglycans. We also defined separate lists of domains commonly found in 1) ECM-affiliated proteins (proteins that share either some architectural similarities with ECM proteins or that are known to be associated with ECM proteins; 2) ECM regulators: ECM-remodeling enzymes, crosslinkers, proteases, regulators etc.; 3) secreted factors, many of which are known to bind to ECM and others that may. As for the core matrisome list, we also defined lists of domains that excluded mis-assigned proteins from these categories. Using similar bioinformatic pipelines as for the core matrisome, we defined three categories of “matrisome-associated” proteins: ECM-affiliated proteins, ECM regulators, and secreted factors."}
{"STANDARD_NAME":"NABA_ECM_AFFILIATED","SYSTEMATIC_NAME":"M5880","ORGANISM":"Homo sapiens","PMID":"22159717","AUTHORS":"Naba A,Clauser KR,Hoersch S,Liu H,Carr SA,Hynes RO","EXTERNAL_DETAILS_URL":"http://matrisome.org","CHIP":"HGNC_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP","CONTRIBUTOR":"Alexandra Naba","CONTRIBUTOR_ORG":"Massachusetts Institute of Technology","DESCRIPTION_BRIEF":"Genes encoding proteins affiliated structurally or functionally to extracellular matrix proteins","DESCRIPTION_FULL":"One hallmark of ECM proteins is their domain-based structure. Exploiting this characteristic, we established a list of diagnostic InterPro domains commonly found in ECM proteins. This domain list was used to screen the UniProt protein database. We know that some of the domains used to select positively for ECM proteins are also found in transmembrane receptors and proteins involved in cell adhesion (growth factor receptors, integrins, etc) that do not belong to the ECM. These families of proteins also display a subset of specific domains and transmembrane domains incompatible with definition as “extracellular matrix” proteins. Therefore, a second step comprised a negative selection using another set of domains and a transmembrane domain prediction. Manual curation of the matrisome lists also allowed us to add a very few known ECM proteins that do not contain any known domains. Protein-centric predictions were then converted to gene-centric lists. Finally, knowledge-based annotation of these gene lists allowed us to define subcategories within the core matrisome; namely, ECM glycoproteins, collagens, and proteoglycans. We also defined separate lists of domains commonly found in 1) ECM-affiliated proteins (proteins that share either some architectural similarities with ECM proteins or that are known to be associated with ECM proteins; 2) ECM regulators: ECM-remodeling enzymes, crosslinkers, proteases, regulators etc.; 3) secreted factors, many of which are known to bind to ECM and others that may. As for the core matrisome list, we also defined lists of domains that excluded mis-assigned proteins from these categories. Using similar bioinformatic pipelines as for the core matrisome, we defined three categories of “matrisome-associated” proteins: ECM-affiliated proteins, ECM regulators, and secreted factors."}
{"STANDARD_NAME":"NABA_PROTEOGLYCANS","SYSTEMATIC_NAME":"M5882","ORGANISM":"Homo sapiens","PMID":"22159717","AUTHORS":"Naba A,Clauser KR,Hoersch S,Liu H,Carr SA,Hynes RO","EXTERNAL_DETAILS_URL":"http://matrisome.org","CHIP":"HGNC_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP","CONTRIBUTOR":"Alexandra Naba","CONTRIBUTOR_ORG":"Massachusetts Institute of Technology","DESCRIPTION_BRIEF":"Genes encoding proteoglycans","DESCRIPTION_FULL":"One hallmark of ECM proteins is their domain-based structure. Exploiting this characteristic, we established a list of diagnostic InterPro domains commonly found in ECM proteins. This domain list was used to screen the UniProt protein database. We know that some of the domains used to select positively for ECM proteins are also found in transmembrane receptors and proteins involved in cell adhesion (growth factor receptors, integrins, etc) that do not belong to the ECM. These families of proteins also display a subset of specific domains and transmembrane domains incompatible with definition as “extracellular matrix” proteins. Therefore, a second step comprised a negative selection using another set of domains and a transmembrane domain prediction. Manual curation of the matrisome lists also allowed us to add a very few known ECM proteins that do not contain any known domains. Protein-centric predictions were then converted to gene-centric lists. Finally, knowledge-based annotation of these gene lists allowed us to define subcategories within the core matrisome; namely, ECM glycoproteins, collagens, and proteoglycans. We also defined separate lists of domains commonly found in 1) ECM-affiliated proteins (proteins that share either some architectural similarities with ECM proteins or that are known to be associated with ECM proteins; 2) ECM regulators: ECM-remodeling enzymes, crosslinkers, proteases, regulators etc.; 3) secreted factors, many of which are known to bind to ECM and others that may. As for the core matrisome list, we also defined lists of domains that excluded mis-assigned proteins from these categories. Using similar bioinformatic pipelines as for the core matrisome, we defined three categories of “matrisome-associated” proteins: ECM-affiliated proteins, ECM regulators, and secreted factors."}
{"STANDARD_NAME":"NABA_SECRETED_FACTORS","SYSTEMATIC_NAME":"M5883","ORGANISM":"Homo sapiens","PMID":"22159717","AUTHORS":"Naba A,Clauser KR,Hoersch S,Liu H,Carr SA,Hynes RO","EXTERNAL_DETAILS_URL":"http://matrisome.org","CHIP":"HGNC_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP","CONTRIBUTOR":"Alexandra Naba","CONTRIBUTOR_ORG":"Massachusetts Institute of Technology","DESCRIPTION_BRIEF":"Genes encoding secreted soluble factors","DESCRIPTION_FULL":"One hallmark of ECM proteins is their domain-based structure. Exploiting this characteristic, we established a list of diagnostic InterPro domains commonly found in ECM proteins. This domain list was used to screen the UniProt protein database. We know that some of the domains used to select positively for ECM proteins are also found in transmembrane receptors and proteins involved in cell adhesion (growth factor receptors, integrins, etc) that do not belong to the ECM. These families of proteins also display a subset of specific domains and transmembrane domains incompatible with definition as “extracellular matrix” proteins. Therefore, a second step comprised a negative selection using another set of domains and a transmembrane domain prediction. Manual curation of the matrisome lists also allowed us to add a very few known ECM proteins that do not contain any known domains. Protein-centric predictions were then converted to gene-centric lists. Finally, knowledge-based annotation of these gene lists allowed us to define subcategories within the core matrisome; namely, ECM glycoproteins, collagens, and proteoglycans. We also defined separate lists of domains commonly found in 1) ECM-affiliated proteins (proteins that share either some architectural similarities with ECM proteins or that are known to be associated with ECM proteins; 2) ECM regulators: ECM-remodeling enzymes, crosslinkers, proteases, regulators etc.; 3) secreted factors, many of which are known to bind to ECM and others that may. As for the core matrisome list, we also defined lists of domains that excluded mis-assigned proteins from these categories. Using similar bioinformatic pipelines as for the core matrisome, we defined three categories of “matrisome-associated” proteins: ECM-affiliated proteins, ECM regulators, and secreted factors."}
{"STANDARD_NAME":"NABA_CORE_MATRISOME","SYSTEMATIC_NAME":"M5884","ORGANISM":"Homo sapiens","PMID":"22159717","AUTHORS":"Naba A,Clauser KR,Hoersch S,Liu H,Carr SA,Hynes RO","EXTERNAL_DETAILS_URL":"http://matrisome.org","CHIP":"HGNC_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP","CONTRIBUTOR":"Alexandra Naba","CONTRIBUTOR_ORG":"Massachusetts Institute of Technology","DESCRIPTION_BRIEF":"Ensemble of genes encoding core extracellular matrix including ECM glycoproteins, collagens and proteoglycans","DESCRIPTION_FULL":"One hallmark of ECM proteins is their domain-based structure. Exploiting this characteristic, we established a list of diagnostic InterPro domains commonly found in ECM proteins. This domain list was used to screen the UniProt protein database. We know that some of the domains used to select positively for ECM proteins are also found in transmembrane receptors and proteins involved in cell adhesion (growth factor receptors, integrins, etc) that do not belong to the ECM. These families of proteins also display a subset of specific domains and transmembrane domains incompatible with definition as “extracellular matrix” proteins. Therefore, a second step comprised a negative selection using another set of domains and a transmembrane domain prediction. Manual curation of the matrisome lists also allowed us to add a very few known ECM proteins that do not contain any known domains. Protein-centric predictions were then converted to gene-centric lists. Finally, knowledge-based annotation of these gene lists allowed us to define subcategories within the core matrisome; namely, ECM glycoproteins, collagens, and proteoglycans. We also defined separate lists of domains commonly found in 1) ECM-affiliated proteins (proteins that share either some architectural similarities with ECM proteins or that are known to be associated with ECM proteins; 2) ECM regulators: ECM-remodeling enzymes, crosslinkers, proteases, regulators etc.; 3) secreted factors, many of which are known to bind to ECM and others that may. As for the core matrisome list, we also defined lists of domains that excluded mis-assigned proteins from these categories. Using similar bioinformatic pipelines as for the core matrisome, we defined three categories of “matrisome-associated” proteins: ECM-affiliated proteins, ECM regulators, and secreted factors."}
{"STANDARD_NAME":"NABA_MATRISOME_ASSOCIATED","SYSTEMATIC_NAME":"M5885","ORGANISM":"Homo sapiens","PMID":"22159717","AUTHORS":"Naba A,Clauser KR,Hoersch S,Liu H,Carr SA,Hynes RO","EXTERNAL_DETAILS_URL":"http://matrisome.org","CHIP":"HGNC_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP","CONTRIBUTOR":"Alexandra Naba","CONTRIBUTOR_ORG":"Massachusetts Institute of Technology","DESCRIPTION_BRIEF":"Ensemble of genes encoding ECM-associated proteins including ECM-affilaited proteins, ECM regulators and secreted factors","DESCRIPTION_FULL":"One hallmark of ECM proteins is their domain-based structure. Exploiting this characteristic, we established a list of diagnostic InterPro domains commonly found in ECM proteins. This domain list was used to screen the UniProt protein database. We know that some of the domains used to select positively for ECM proteins are also found in transmembrane receptors and proteins involved in cell adhesion (growth factor receptors, integrins, etc) that do not belong to the ECM. These families of proteins also display a subset of specific domains and transmembrane domains incompatible with definition as “extracellular matrix” proteins. Therefore, a second step comprised a negative selection using another set of domains and a transmembrane domain prediction. Manual curation of the matrisome lists also allowed us to add a very few known ECM proteins that do not contain any known domains. Protein-centric predictions were then converted to gene-centric lists. Finally, knowledge-based annotation of these gene lists allowed us to define subcategories within the core matrisome; namely, ECM glycoproteins, collagens, and proteoglycans. We also defined separate lists of domains commonly found in 1) ECM-affiliated proteins (proteins that share either some architectural similarities with ECM proteins or that are known to be associated with ECM proteins; 2) ECM regulators: ECM-remodeling enzymes, crosslinkers, proteases, regulators etc.; 3) secreted factors, many of which are known to bind to ECM and others that may. As for the core matrisome list, we also defined lists of domains that excluded mis-assigned proteins from these categories. Using similar bioinformatic pipelines as for the core matrisome, we defined three categories of “matrisome-associated” proteins: ECM-affiliated proteins, ECM regulators, and secreted factors."}
{"STANDARD_NAME":"NABA_BASEMENT_MEMBRANES","SYSTEMATIC_NAME":"M5887","ORGANISM":"Homo sapiens","PMID":"22159717","AUTHORS":"Naba A,Clauser KR,Hoersch S,Liu H,Carr SA,Hynes RO","EXTERNAL_DETAILS_URL":"http://matrisome.org","CHIP":"HGNC_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP","CONTRIBUTOR":"Alexandra Naba","CONTRIBUTOR_ORG":"Massachusetts Institute of Technology","DESCRIPTION_BRIEF":"Genes encoding structural components of basement membranes","DESCRIPTION_FULL":"One hallmark of ECM proteins is their domain-based structure. Exploiting this characteristic, we established a list of diagnostic InterPro domains commonly found in ECM proteins. This domain list was used to screen the UniProt protein database. We know that some of the domains used to select positively for ECM proteins are also found in transmembrane receptors and proteins involved in cell adhesion (growth factor receptors, integrins, etc) that do not belong to the ECM. These families of proteins also display a subset of specific domains and transmembrane domains incompatible with definition as “extracellular matrix” proteins. Therefore, a second step comprised a negative selection using another set of domains and a transmembrane domain prediction. Manual curation of the matrisome lists also allowed us to add a very few known ECM proteins that do not contain any known domains. Protein-centric predictions were then converted to gene-centric lists. Finally, knowledge-based annotation of these gene lists allowed us to define subcategories within the core matrisome; namely, ECM glycoproteins, collagens, and proteoglycans. We also defined separate lists of domains commonly found in 1) ECM-affiliated proteins (proteins that share either some architectural similarities with ECM proteins or that are known to be associated with ECM proteins; 2) ECM regulators: ECM-remodeling enzymes, crosslinkers, proteases, regulators etc.; 3) secreted factors, many of which are known to bind to ECM and others that may. As for the core matrisome list, we also defined lists of domains that excluded mis-assigned proteins from these categories. Using similar bioinformatic pipelines as for the core matrisome, we defined three categories of “matrisome-associated” proteins: ECM-affiliated proteins, ECM regulators, and secreted factors."}
{"STANDARD_NAME":"NABA_MATRISOME","SYSTEMATIC_NAME":"M5889","ORGANISM":"Homo sapiens","PMID":"22159717","AUTHORS":"Naba A,Clauser KR,Hoersch S,Liu H,Carr SA,Hynes RO","EXTERNAL_DETAILS_URL":"http://matrisome.org","CHIP":"HGNC_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP","CONTRIBUTOR":"Alexandra Naba","CONTRIBUTOR_ORG":"Massachusetts Institute of Technology","DESCRIPTION_BRIEF":"Ensemble of genes encoding extracellular matrix and extracellular matrix-associated proteins ","DESCRIPTION_FULL":"One hallmark of ECM proteins is their domain-based structure. Exploiting this characteristic, we established a list of diagnostic InterPro domains commonly found in ECM proteins. This domain list was used to screen the UniProt protein database. We know that some of the domains used to select positively for ECM proteins are also found in transmembrane receptors and proteins involved in cell adhesion (growth factor receptors, integrins, etc) that do not belong to the ECM. These families of proteins also display a subset of specific domains and transmembrane domains incompatible with definition as “extracellular matrix” proteins. Therefore, a second step comprised a negative selection using another set of domains and a transmembrane domain prediction. Manual curation of the matrisome lists also allowed us to add a very few known ECM proteins that do not contain any known domains. Protein-centric predictions were then converted to gene-centric lists. Finally, knowledge-based annotation of these gene lists allowed us to define subcategories within the core matrisome; namely, ECM glycoproteins, collagens, and proteoglycans. We also defined separate lists of domains commonly found in 1) ECM-affiliated proteins (proteins that share either some architectural similarities with ECM proteins or that are known to be associated with ECM proteins; 2) ECM regulators: ECM-remodeling enzymes, crosslinkers, proteases, regulators etc.; 3) secreted factors, many of which are known to bind to ECM and others that may. As for the core matrisome list, we also defined lists of domains that excluded mis-assigned proteins from these categories. Using similar bioinformatic pipelines as for the core matrisome, we defined three categories of “matrisome-associated” proteins: ECM-affiliated proteins, ECM regulators, and secreted factors."}
{"STANDARD_NAME":"WP_B_CELL_RECEPTOR_SIGNALING_PATHWAY","SYSTEMATIC_NAME":"M39323","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP23","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP23_r108321","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"B Cell Receptor Signaling Pathway"}
{"STANDARD_NAME":"WP_TRANSSULFURATION_PATHWAY","SYSTEMATIC_NAME":"M39324","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2333","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2333_r72015","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Trans-sulfuration pathway"}
{"STANDARD_NAME":"WP_NANOPARTICLE_TRIGGERED_AUTOPHAGIC_CELL_DEATH","SYSTEMATIC_NAME":"M39325","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2509","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2509_r101755","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Nanoparticle triggered autophagic cell death"}
{"STANDARD_NAME":"WP_BENZENE_METABOLISM","SYSTEMATIC_NAME":"M39326","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3891","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3891_r106161","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Benzene metabolism"}
{"STANDARD_NAME":"WP_MAMMARY_GLAND_DEVELOPMENT_PATHWAY_EMBRYONIC_DEVELOPMENT_STAGE_1_OF_4","SYSTEMATIC_NAME":"M39327","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2813","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2813_r102405","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Mammary gland development pathway - Embryonic development (Stage 1 of 4)"}
{"STANDARD_NAME":"WP_CODEINE_AND_MORPHINE_METABOLISM","SYSTEMATIC_NAME":"M39328","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP1604","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP1604_r110711","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Codeine and Morphine Metabolism"}
{"STANDARD_NAME":"WP_CALCIUM_REGULATION_IN_THE_CARDIAC_CELL","SYSTEMATIC_NAME":"M39329","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP536","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP536_r111318","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Calcium Regulation in the Cardiac Cell"}
{"STANDARD_NAME":"WP_MIR517_RELATIONSHIP_WITH_ARCN1_AND_USP1","SYSTEMATIC_NAME":"M39330","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3596","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3596_r105860","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"miR-517 relationship with ARCN1 and USP1"}
{"STANDARD_NAME":"WP_ALANINE_AND_ASPARTATE_METABOLISM","SYSTEMATIC_NAME":"M39331","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP106","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP106_r114258","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Alanine and aspartate metabolism"}
{"STANDARD_NAME":"WP_MICRORNA_NETWORK_ASSOCIATED_WITH_CHRONIC_LYMPHOCYTIC_LEUKEMIA","SYSTEMATIC_NAME":"M39332","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4399","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4399_r102102","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"MicroRNA network associated with chronic lymphocytic leukemia"}
{"STANDARD_NAME":"WP_WHITE_FAT_CELL_DIFFERENTIATION","SYSTEMATIC_NAME":"M39333","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4149","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4149_r107159","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"White fat cell differentiation"}
{"STANDARD_NAME":"WP_EGFEGFR_SIGNALING_PATHWAY","SYSTEMATIC_NAME":"M39334","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP437","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP437_r111019","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"EGF/EGFR Signaling Pathway"}
{"STANDARD_NAME":"WP_DNA_REPLICATION","SYSTEMATIC_NAME":"M39335","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP466","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP466_r107180","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"DNA Replication"}
{"STANDARD_NAME":"WP_PYRIMIDINE_METABOLISM","SYSTEMATIC_NAME":"M39336","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4022","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4022_r106773","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Pyrimidine metabolism"}
{"STANDARD_NAME":"WP_VITAMIN_B12_METABOLISM","SYSTEMATIC_NAME":"M39337","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP1533","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP1533_r107121","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Vitamin B12 Metabolism"}
{"STANDARD_NAME":"WP_ANGIOPOIETIN_LIKE_PROTEIN_8_REGULATORY_PATHWAY","SYSTEMATIC_NAME":"M39338","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3915","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3915_r112155","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Angiopoietin Like Protein 8 Regulatory Pathway"}
{"STANDARD_NAME":"WP_DNA_DAMAGE_RESPONSE","SYSTEMATIC_NAME":"M39339","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP707","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP707_r113795","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"DNA Damage Response"}
{"STANDARD_NAME":"WP_OXIDATIVE_DAMAGE","SYSTEMATIC_NAME":"M39340","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3941","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3941_r106568","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Oxidative Damage"}
{"STANDARD_NAME":"WP_SPINAL_CORD_INJURY","SYSTEMATIC_NAME":"M39341","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2431","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2431_r106712","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Spinal Cord Injury"}
{"STANDARD_NAME":"WP_PHASE_I_BIOTRANSFORMATIONS_NON_P450","SYSTEMATIC_NAME":"M39342","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP136","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP136_r107116","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Phase I biotransformations, non P450"}
{"STANDARD_NAME":"WP_NICOTINE_ACTIVITY_ON_DOPAMINERGIC_NEURONS","SYSTEMATIC_NAME":"M39343","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP1602","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP1602_r112075","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Nicotine Activity on Dopaminergic Neurons"}
{"STANDARD_NAME":"WP_BENZOAPYRENE_METABOLISM","SYSTEMATIC_NAME":"M39344","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP696","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP696_r106311","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Benzo(a)pyrene metabolism"}
{"STANDARD_NAME":"WP_PI3KAKTMTOR_VITD3_SIGNALLING","SYSTEMATIC_NAME":"M39345","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4141","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4141_r106775","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"PI3K/AKT/mTOR - VitD3 Signalling"}
{"STANDARD_NAME":"WP_IL1_SIGNALING_PATHWAY","SYSTEMATIC_NAME":"M39346","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP195","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP195_r108323","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"IL-1 signaling pathway"}
{"STANDARD_NAME":"WP_GASTRIC_CANCER_NETWORK_1","SYSTEMATIC_NAME":"M39347","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2361","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2361_r108121","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Gastric Cancer Network 1"}
{"STANDARD_NAME":"WP_CYTOSINE_METHYLATION","SYSTEMATIC_NAME":"M39348","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3585","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3585_r106742","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Cytosine methylation"}
{"STANDARD_NAME":"WP_COPPER_HOMEOSTASIS","SYSTEMATIC_NAME":"M39349","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3286","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3286_r106367","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Copper homeostasis"}
{"STANDARD_NAME":"WP_KIT_RECEPTOR_SIGNALING_PATHWAY","SYSTEMATIC_NAME":"M39350","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP304","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP304_r108331","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Kit receptor signaling pathway"}
{"STANDARD_NAME":"WP_TGFBETA_RECEPTOR_SIGNALING","SYSTEMATIC_NAME":"M39351","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP560","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP560_r106477","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"TGF-beta Receptor Signaling"}
{"STANDARD_NAME":"WP_VITAMIN_D_METABOLISM","SYSTEMATIC_NAME":"M39352","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP1531","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP1531_r107120","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Vitamin D Metabolism"}
{"STANDARD_NAME":"WP_THYROXINE_THYROID_HORMONE_PRODUCTION","SYSTEMATIC_NAME":"M39353","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP1981","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP1981_r106141","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Thyroxine (Thyroid Hormone) Production"}
{"STANDARD_NAME":"WP_MIRNAS_INVOLVEMENT_IN_THE_IMMUNE_RESPONSE_IN_SEPSIS","SYSTEMATIC_NAME":"M39354","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4329","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4329_r101725","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"miRNAs involvement in the immune response in sepsis"}
{"STANDARD_NAME":"WP_PROSTAGLANDIN_SYNTHESIS_AND_REGULATION","SYSTEMATIC_NAME":"M39355","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP98","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP98_r113596","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Prostaglandin Synthesis and Regulation"}
{"STANDARD_NAME":"WP_FTO_OBESITY_VARIANT_MECHANISM","SYSTEMATIC_NAME":"M39356","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3407","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3407_r97679","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"FTO Obesity Variant Mechanism"}
{"STANDARD_NAME":"WP_GALANIN_RECEPTOR_PATHWAY","SYSTEMATIC_NAME":"M40039","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4970","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4970_r113773","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Galanin receptor pathway"}
{"STANDARD_NAME":"WP_AMYOTROPHIC_LATERAL_SCLEROSIS_ALS","SYSTEMATIC_NAME":"M39357","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2447","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2447_r113794","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Amyotrophic lateral sclerosis (ALS)"}
{"STANDARD_NAME":"WP_SEROTONIN_RECEPTOR_467_AND_NR3C_SIGNALING","SYSTEMATIC_NAME":"M39358","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP734","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP734_r106485","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Serotonin Receptor 4/6/7 and NR3C Signaling"}
{"STANDARD_NAME":"WP_ID_SIGNALING_PATHWAY","SYSTEMATIC_NAME":"M39359","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP53","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP53_r108330","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"ID signaling pathway"}
{"STANDARD_NAME":"WP_INTEGRATED_BREAST_CANCER_PATHWAY","SYSTEMATIC_NAME":"M39360","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP1984","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP1984_r113594","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Integrated Breast Cancer Pathway"}
{"STANDARD_NAME":"WP_METASTATIC_BRAIN_TUMOR","SYSTEMATIC_NAME":"M39361","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2249","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2249_r107453","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Metastatic brain tumor"}
{"STANDARD_NAME":"WP_GLYCEROLIPIDS_AND_GLYCEROPHOSPHOLIPIDS","SYSTEMATIC_NAME":"M39362","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4722","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4722_r107599","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Glycerolipids and Glycerophospholipids"}
{"STANDARD_NAME":"WP_TYPE_II_INTERFERON_SIGNALING_IFNG","SYSTEMATIC_NAME":"M39363","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP619","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP619_r106442","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Type II interferon signaling (IFNG)"}
{"STANDARD_NAME":"WP_DEVELOPMENT_AND_HETEROGENEITY_OF_THE_ILC_FAMILY","SYSTEMATIC_NAME":"M39364","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3893","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3893_r106386","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Development and heterogeneity of the ILC family"}
{"STANDARD_NAME":"WP_MITOCHONDRIAL_LCFATTY_ACID_BETAOXIDATION","SYSTEMATIC_NAME":"M39365","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP368","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP368_r107146","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Mitochondrial LC-Fatty Acid Beta-Oxidation"}
{"STANDARD_NAME":"WP_HEMATOPOIETIC_STEM_CELL_DIFFERENTIATION","SYSTEMATIC_NAME":"M39366","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2849","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2849_r103039","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Hematopoietic Stem Cell Differentiation"}
{"STANDARD_NAME":"WP_METHIONINE_DE_NOVO_AND_SALVAGE_PATHWAY","SYSTEMATIC_NAME":"M39367","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3580","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3580_r107143","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Methionine De Novo and Salvage Pathway"}
{"STANDARD_NAME":"WP_TP53_NETWORK","SYSTEMATIC_NAME":"M39368","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP1742","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP1742_r106445","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"TP53 Network"}
{"STANDARD_NAME":"WP_GABA_RECEPTOR_SIGNALING","SYSTEMATIC_NAME":"M39369","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4159","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4159_r107556","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"GABA receptor Signaling"}
{"STANDARD_NAME":"WP_TGFB_SIGNALING_IN_THYROID_CELLS_FOR_EPITHELIALMESENCHYMAL_TRANSITION","SYSTEMATIC_NAME":"M39370","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3859","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3859_r106478","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"TGF-B Signaling in Thyroid Cells for Epithelial-Mesenchymal Transition"}
{"STANDARD_NAME":"WP_VALPROIC_ACID_PATHWAY","SYSTEMATIC_NAME":"M39371","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3871","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3871_r106754","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Valproic acid pathway"}
{"STANDARD_NAME":"WP_GLIAL_CELL_DIFFERENTIATION","SYSTEMATIC_NAME":"M39372","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2276","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2276_r107580","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Glial Cell Differentiation"}
{"STANDARD_NAME":"WP_SUDDEN_INFANT_DEATH_SYNDROME_SIDS_SUSCEPTIBILITY_PATHWAYS","SYSTEMATIC_NAME":"M39373","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP706","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP706_r113813","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Sudden Infant Death Syndrome (SIDS) Susceptibility Pathways"}
{"STANDARD_NAME":"WP_HISTONE_MODIFICATIONS","SYSTEMATIC_NAME":"M39374","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2369","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2369_r106592","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Histone Modifications"}
{"STANDARD_NAME":"WP_PATHWAYS_IN_CLEAR_CELL_RENAL_CELL_CARCINOMA","SYSTEMATIC_NAME":"M39375","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4018","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4018_r111011","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Pathways in clear cell renal cell carcinoma"}
{"STANDARD_NAME":"WP_MIRNAS_INVOLVED_IN_DNA_DAMAGE_RESPONSE","SYSTEMATIC_NAME":"M39376","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP1545","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP1545_r105864","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"miRNAs involved in DNA damage response"}
{"STANDARD_NAME":"WP_ZINC_HOMEOSTASIS","SYSTEMATIC_NAME":"M39377","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3529","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3529_r106738","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Zinc homeostasis"}
{"STANDARD_NAME":"WP_BMP2WNT4FOXO1_PATHWAY_IN_HUMAN_PRIMARY_ENDOMETRIAL_STROMAL_CELL_DIFFERENTIATION","SYSTEMATIC_NAME":"M39378","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3876","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3876_r106755","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"BMP2-WNT4-FOXO1 Pathway in Human Primary Endometrial Stromal Cell Differentiation"}
{"STANDARD_NAME":"WP_ALZHEIMERS_DISEASE","SYSTEMATIC_NAME":"M39379","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2059","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2059_r115412","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Alzheimers Disease"}
{"STANDARD_NAME":"WP_THYMIC_STROMAL_LYMPHOPOIETIN_TSLP_SIGNALING_PATHWAY","SYSTEMATIC_NAME":"M39380","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2203","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2203_r105841","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Thymic Stromal LymphoPoietin (TSLP) Signaling Pathway"}
{"STANDARD_NAME":"WP_IMATINIB_AND_CHRONIC_MYELOID_LEUKEMIA","SYSTEMATIC_NAME":"M39381","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3640","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3640_r106747","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Imatinib and Chronic Myeloid Leukemia"}
{"STANDARD_NAME":"WP_EICOSANOID_SYNTHESIS","SYSTEMATIC_NAME":"M39382","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP167","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP167_r106700","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Eicosanoid Synthesis"}
{"STANDARD_NAME":"WP_SIGNALING_OF_HEPATOCYTE_GROWTH_FACTOR_RECEPTOR","SYSTEMATIC_NAME":"M39383","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP313","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP313_r107452","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Signaling of Hepatocyte Growth Factor Receptor"}
{"STANDARD_NAME":"WP_SIGNAL_TRANSDUCTION_OF_S1P_RECEPTOR","SYSTEMATIC_NAME":"M39384","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP26","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP26_r106482","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Signal Transduction of S1P Receptor"}
{"STANDARD_NAME":"WP_SELENIUM_MICRONUTRIENT_NETWORK","SYSTEMATIC_NAME":"M39385","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP15","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP15_r107118","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Selenium Micronutrient Network"}
{"STANDARD_NAME":"WP_EUKARYOTIC_TRANSCRIPTION_INITIATION","SYSTEMATIC_NAME":"M39386","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP405","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP405_r94824","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Eukaryotic Transcription Initiation"}
{"STANDARD_NAME":"WP_WNT_SIGNALING_PATHWAY_AND_PLURIPOTENCY","SYSTEMATIC_NAME":"M39387","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP399","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP399_r113990","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Wnt Signaling Pathway and Pluripotency"}
{"STANDARD_NAME":"WP_GLUTATHIONE_METABOLISM","SYSTEMATIC_NAME":"M39388","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP100","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP100_r107114","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Glutathione metabolism"}
{"STANDARD_NAME":"WP_NOTCH1_REGULATION_OF_HUMAN_ENDOTHELIAL_CELL_CALCIFICATION","SYSTEMATIC_NAME":"M39389","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3413","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3413_r106657","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"NOTCH1 regulation of human endothelial cell calcification"}
{"STANDARD_NAME":"WP_ROLE_OF_OSX_AND_MIRNAS_IN_TOOTH_DEVELOPMENT","SYSTEMATIC_NAME":"M39390","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3971","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3971_r105314","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Role of Osx and miRNAs in tooth development"}
{"STANDARD_NAME":"WP_DEREGULATION_OF_RAB_AND_RAB_EFFECTOR_GENES_IN_BLADDER_CANCER","SYSTEMATIC_NAME":"M39391","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2291","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2291_r108118","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Deregulation of Rab and Rab Effector Genes in Bladder Cancer"}
{"STANDARD_NAME":"WP_IL5_SIGNALING_PATHWAY","SYSTEMATIC_NAME":"M39392","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP127","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP127_r108326","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"IL-5 Signaling Pathway"}
{"STANDARD_NAME":"WP_SRF_AND_MIRS_IN_SMOOTH_MUSCLE_DIFFERENTIATION_AND_PROLIFERATION","SYSTEMATIC_NAME":"M39393","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP1991","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP1991_r103014","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"SRF and miRs in Smooth Muscle Differentiation and Proliferation"}
{"STANDARD_NAME":"WP_HIF1A_AND_PPARG_REGULATION_OF_GLYCOLYSIS","SYSTEMATIC_NAME":"M39394","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2456","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2456_r107555","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"HIF1A and PPARG regulation of glycolysis"}
{"STANDARD_NAME":"WP_STEROL_REGULATORY_ELEMENTBINDING_PROTEINS_SREBP_SIGNALLING","SYSTEMATIC_NAME":"M39395","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP1982","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP1982_r110111","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Sterol Regulatory Element-Binding Proteins (SREBP) signalling"}
{"STANDARD_NAME":"WP_FOLATEALCOHOL_AND_CANCER_PATHWAY_HYPOTHESES","SYSTEMATIC_NAME":"M39396","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP1589","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP1589_r106697","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Folate-Alcohol and Cancer Pathway Hypotheses"}
{"STANDARD_NAME":"WP_GPCRS_CLASS_A_RHODOPSINLIKE","SYSTEMATIC_NAME":"M39397","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP455","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP455_r106426","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"GPCRs, Class A Rhodopsin-like"}
{"STANDARD_NAME":"WP_ALLOGRAFT_REJECTION","SYSTEMATIC_NAME":"M39398","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2328","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2328_r106557","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Allograft Rejection"}
{"STANDARD_NAME":"WP_IL1_AND_MEGAKARYOCYTES_IN_OBESITY","SYSTEMATIC_NAME":"M39399","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2865","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2865_r106600","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"IL1 and megakaryocytes in obesity"}
{"STANDARD_NAME":"WP_CHEMOKINE_SIGNALING_PATHWAY","SYSTEMATIC_NAME":"M39400","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3929","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3929_r106503","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Chemokine signaling pathway"}
{"STANDARD_NAME":"WP_MECP2_AND_ASSOCIATED_RETT_SYNDROME","SYSTEMATIC_NAME":"M39401","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3584","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3584_r110253","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"MECP2 and Associated Rett Syndrome"}
{"STANDARD_NAME":"WP_FOCAL_ADHESION","SYSTEMATIC_NAME":"M39402","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP306","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP306_r106731","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Focal Adhesion"}
{"STANDARD_NAME":"WP_PRIMARY_FOCAL_SEGMENTAL_GLOMERULOSCLEROSIS_FSGS","SYSTEMATIC_NAME":"M39403","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2572","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2572_r106533","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Primary Focal Segmental Glomerulosclerosis FSGS"}
{"STANDARD_NAME":"WP_GLUCURONIDATION","SYSTEMATIC_NAME":"M39404","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP698","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP698_r106827","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Glucuronidation"}
{"STANDARD_NAME":"WP_GENES_TARGETED_BY_MIRNAS_IN_ADIPOCYTES","SYSTEMATIC_NAME":"M39405","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP1992","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP1992_r105839","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Genes targeted by miRNAs in adipocytes"}
{"STANDARD_NAME":"WP_MRNA_PROCESSING","SYSTEMATIC_NAME":"M39406","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP411","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP411_r105857","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"mRNA Processing"}
{"STANDARD_NAME":"WP_WNTBETACATENIN_SIGNALING_PATHWAY_IN_LEUKEMIA","SYSTEMATIC_NAME":"M39407","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3658","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3658_r106440","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Wnt/beta-catenin Signaling Pathway in Leukemia"}
{"STANDARD_NAME":"WP_RALA_DOWNSTREAM_REGULATED_GENES","SYSTEMATIC_NAME":"M39408","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2290","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2290_r79988","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"RalA downstream regulated genes"}
{"STANDARD_NAME":"WP_INTERLEUKIN1_INDUCED_ACTIVATION_OF_NFKAPPAB","SYSTEMATIC_NAME":"M39409","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3656","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3656_r106174","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Interleukin-1 Induced Activation of NF-kappa-B"}
{"STANDARD_NAME":"WP_EBV_LMP1_SIGNALING","SYSTEMATIC_NAME":"M39410","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP262","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP262_r106391","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"EBV LMP1 signaling"}
{"STANDARD_NAME":"WP_FARNESOID_X_RECEPTOR_PATHWAY","SYSTEMATIC_NAME":"M39411","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2879","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2879_r106413","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Farnesoid X Receptor Pathway"}
{"STANDARD_NAME":"WP_MIR124_PREDICTED_INTERACTIONS_WITH_CELL_CYCLE_AND_DIFFERENTIATION","SYSTEMATIC_NAME":"M39412","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3595","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3595_r89883","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"mir-124 predicted interactions with cell cycle and differentiation "}
{"STANDARD_NAME":"WP_HEPATITIS_C_AND_HEPATOCELLULAR_CARCINOMA","SYSTEMATIC_NAME":"M39413","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3646","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3646_r111190","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Hepatitis C and Hepatocellular Carcinoma"}
{"STANDARD_NAME":"WP_TRANSCRIPTION_FACTOR_REGULATION_IN_ADIPOGENESIS","SYSTEMATIC_NAME":"M39414","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3599","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3599_r105845","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Transcription factor regulation in adipogenesis"}
{"STANDARD_NAME":"WP_PENTOSE_PHOSPHATE_METABOLISM","SYSTEMATIC_NAME":"M39415","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP134","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP134_r114260","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Pentose Phosphate Metabolism"}
{"STANDARD_NAME":"WP_MIRNA_BIOGENESIS","SYSTEMATIC_NAME":"M39416","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2338","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2338_r106710","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"miRNA Biogenesis"}
{"STANDARD_NAME":"WP_ELECTRON_TRANSPORT_CHAIN_OXPHOS_SYSTEM_IN_MITOCHONDRIA","SYSTEMATIC_NAME":"M39417","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP111","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP111_r113902","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Electron Transport Chain (OXPHOS system in mitochondria)"}
{"STANDARD_NAME":"WP_MELATONIN_METABOLISM_AND_EFFECTS","SYSTEMATIC_NAME":"M39418","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3298","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3298_r107142","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Melatonin metabolism and effects"}
{"STANDARD_NAME":"WP_DUAL_HIJACK_MODEL_OF_VIF_IN_HIV_INFECTION","SYSTEMATIC_NAME":"M39419","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3300","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3300_r102277","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Dual hijack model of Vif in HIV infection"}
{"STANDARD_NAME":"WP_AGERAGE_PATHWAY","SYSTEMATIC_NAME":"M39420","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2324","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2324_r105867","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"AGE/RAGE pathway"}
{"STANDARD_NAME":"WP_MIR5093P_ALTERATION_OF_YAP1ECM_AXIS","SYSTEMATIC_NAME":"M39421","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3967","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3967_r108139","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"miR-509-3p alteration of YAP1/ECM axis"}
{"STANDARD_NAME":"WP_NUCLEOTIDE_GPCRS","SYSTEMATIC_NAME":"M39422","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP80","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP80_r111167","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Nucleotide GPCRs"}
{"STANDARD_NAME":"WP_TRANSLATION_FACTORS","SYSTEMATIC_NAME":"M39423","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP107","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP107_r105846","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Translation Factors"}
{"STANDARD_NAME":"WP_ESTROGEN_METABOLISM","SYSTEMATIC_NAME":"M39424","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP697","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP697_r106826","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Estrogen metabolism"}
{"STANDARD_NAME":"WP_MIRNA_REGULATION_OF_P53_PATHWAY_IN_PROSTATE_CANCER","SYSTEMATIC_NAME":"M39425","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3982","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3982_r108115","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"miRNA regulation of p53 pathway in prostate cancer"}
{"STANDARD_NAME":"WP_G_PROTEIN_SIGNALING_PATHWAYS","SYSTEMATIC_NAME":"M39426","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP35","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP35_r106737","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"G Protein Signaling Pathways"}
{"STANDARD_NAME":"WP_DIFFERENTIATION_PATHWAY","SYSTEMATIC_NAME":"M39427","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2848","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2848_r107975","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Differentiation Pathway"}
{"STANDARD_NAME":"WP_NUCLEAR_RECEPTORS_METAPATHWAY","SYSTEMATIC_NAME":"M39428","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2882","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2882_r115341","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Nuclear Receptors Meta-Pathway"}
{"STANDARD_NAME":"WP_TCELL_ANTIGEN_RECEPTOR_TCR_PATHWAY_DURING_STAPHYLOCOCCUS_AUREUS_INFECTION","SYSTEMATIC_NAME":"M39429","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3863","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3863_r106753","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"T-Cell antigen Receptor (TCR) pathway during Staphylococcus aureus infection"}
{"STANDARD_NAME":"WP_OVERVIEW_OF_LEUKOCYTEINTRINSIC_HIPPO_PATHWAY_FUNCTIONS","SYSTEMATIC_NAME":"M39430","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4542","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4542_r104788","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Overview of leukocyte-intrinsic Hippo pathway functions"}
{"STANDARD_NAME":"WP_TFS_REGULATE_MIRNAS_RELATED_TO_CARDIAC_HYPERTROPHY","SYSTEMATIC_NAME":"M39431","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP1559","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP1559_r105834","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"TFs Regulate miRNAs related to cardiac hypertrophy"}
{"STANDARD_NAME":"WP_TGFBETA_SIGNALING_PATHWAY","SYSTEMATIC_NAME":"M39432","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP366","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP366_r108333","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"TGF-beta Signaling Pathway"}
{"STANDARD_NAME":"WP_ATM_SIGNALING_PATHWAY","SYSTEMATIC_NAME":"M39433","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2516","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2516_r115323","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"ATM Signaling Pathway"}
{"STANDARD_NAME":"WP_TOLLLIKE_RECEPTOR_SIGNALING_PATHWAY","SYSTEMATIC_NAME":"M39434","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP75","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP75_r111250","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Toll-like Receptor Signaling Pathway"}
{"STANDARD_NAME":"WP_INTERFERON_TYPE_I_SIGNALING_PATHWAYS","SYSTEMATIC_NAME":"M39435","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP585","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP585_r107188","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Interferon type I signaling pathways"}
{"STANDARD_NAME":"WP_OXIDATIVE_PHOSPHORYLATION","SYSTEMATIC_NAME":"M39436","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP623","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP623_r107189","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Oxidative phosphorylation"}
{"STANDARD_NAME":"WP_ARYLAMINE_METABOLISM","SYSTEMATIC_NAME":"M39437","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP694","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP694_r106139","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Arylamine metabolism"}
{"STANDARD_NAME":"WP_PHOTODYNAMIC_THERAPYINDUCED_AP1_SURVIVAL_SIGNALING","SYSTEMATIC_NAME":"M39438","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3611","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3611_r90923","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Photodynamic therapy-induced AP-1 survival signaling."}
{"STANDARD_NAME":"WP_NAD_METABOLISM_SIRTUINS_AND_AGING","SYSTEMATIC_NAME":"M39439","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3630","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3630_r106745","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"NAD metabolism, sirtuins and aging"}
{"STANDARD_NAME":"WP_FATTY_ACID_BIOSYNTHESIS","SYSTEMATIC_NAME":"M39440","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP357","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP357_r114302","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Fatty Acid Biosynthesis"}
{"STANDARD_NAME":"WP_CORTICOTROPINRELEASING_HORMONE_SIGNALING_PATHWAY","SYSTEMATIC_NAME":"M39441","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2355","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2355_r108254","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Corticotropin-releasing hormone signaling pathway"}
{"STANDARD_NAME":"WP_GPCRS_CLASS_C_METABOTROPIC_GLUTAMATE_PHEROMONE","SYSTEMATIC_NAME":"M39442","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP501","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP501_r79715","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"GPCRs, Class C Metabotropic glutamate, pheromone"}
{"STANDARD_NAME":"WP_AMPLIFICATION_AND_EXPANSION_OF_ONCOGENIC_PATHWAYS_AS_METASTATIC_TRAITS","SYSTEMATIC_NAME":"M39443","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3678","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3678_r108162","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Amplification and Expansion of Oncogenic Pathways as Metastatic Traits"}
{"STANDARD_NAME":"WP_EXERCISEINDUCED_CIRCADIAN_REGULATION","SYSTEMATIC_NAME":"M39444","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP410","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP410_r106410","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Exercise-induced Circadian Regulation"}
{"STANDARD_NAME":"WP_PI3KAKTMTOR_SIGNALING_PATHWAY_AND_THERAPEUTIC_OPPORTUNITIES","SYSTEMATIC_NAME":"M39445","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3844","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3844_r107714","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"PI3K-AKT-mTOR signaling pathway and therapeutic opportunities"}
{"STANDARD_NAME":"WP_LNCRNAMEDIATED_MECHANISMS_OF_THERAPEUTIC_RESISTANCE","SYSTEMATIC_NAME":"M39446","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3672","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3672_r108191","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"LncRNA-mediated mechanisms of therapeutic resistance"}
{"STANDARD_NAME":"WP_INSULIN_SIGNALLING_IN_HUMAN_ADIPOCYTES_NORMAL_CONDITION","SYSTEMATIC_NAME":"M39447","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3634","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3634_r115355","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Insulin signalling in human adipocytes (normal condition)"}
{"STANDARD_NAME":"WP_NEURAL_CREST_DIFFERENTIATION","SYSTEMATIC_NAME":"M39448","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2064","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2064_r106662","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Neural Crest Differentiation"}
{"STANDARD_NAME":"WP_CATALYTIC_CYCLE_OF_MAMMALIAN_FLAVINCONTAINING_MONOOXYGENASES_FMOS","SYSTEMATIC_NAME":"M39449","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP688","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP688_r107912","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Catalytic cycle of mammalian Flavin-containing MonoOxygenases (FMOs)"}
{"STANDARD_NAME":"WP_APOPTOSIS_MODULATION_BY_HSP70","SYSTEMATIC_NAME":"M39450","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP384","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP384_r106301","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Apoptosis Modulation by HSP70"}
{"STANDARD_NAME":"WP_SEROTONIN_TRANSPORTER_ACTIVITY","SYSTEMATIC_NAME":"M39451","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP1455","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP1455_r106692","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Serotonin Transporter Activity"}
{"STANDARD_NAME":"WP_TNF_RELATED_WEAK_INDUCER_OF_APOPTOSIS_TWEAK_SIGNALING_PATHWAY","SYSTEMATIC_NAME":"M39452","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2036","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2036_r105837","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"TNF related weak inducer of apoptosis (TWEAK) Signaling Pathway"}
{"STANDARD_NAME":"WP_SCFA_AND_SKELETAL_MUSCLE_SUBSTRATE_METABOLISM","SYSTEMATIC_NAME":"M39453","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4030","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4030_r93221","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"SCFA and skeletal muscle substrate metabolism"}
{"STANDARD_NAME":"WP_NRF2_PATHWAY","SYSTEMATIC_NAME":"M39454","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2884","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2884_r106658","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"NRF2 pathway"}
{"STANDARD_NAME":"WP_MAMMARY_GLAND_DEVELOPMENT_PATHWAY_PREGNANCY_AND_LACTATION_STAGE_3_OF_4","SYSTEMATIC_NAME":"M39455","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2817","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2817_r102410","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Mammary gland development pathway - Pregnancy and lactation (Stage 3 of 4)"}
{"STANDARD_NAME":"WP_RAC1PAK1P38MMP2_PATHWAY","SYSTEMATIC_NAME":"M39456","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3303","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3303_r108160","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"RAC1/PAK1/p38/MMP2 Pathway"}
{"STANDARD_NAME":"WP_SYNAPTIC_VESICLE_PATHWAY","SYSTEMATIC_NAME":"M39457","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2267","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2267_r106709","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Synaptic Vesicle Pathway"}
{"STANDARD_NAME":"WP_OVARIAN_INFERTILITY_GENES","SYSTEMATIC_NAME":"M39458","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP34","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP34_r106570","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Ovarian Infertility Genes"}
{"STANDARD_NAME":"WP_METABOLISM_OF_SPINGOLIPIDS_IN_ER_AND_GOLGI_APPARATUS","SYSTEMATIC_NAME":"M39459","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4142","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4142_r110014","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Metabolism of Spingolipids in ER and Golgi apparatus"}
{"STANDARD_NAME":"WP_TCA_CYCLE_AKA_KREBS_OR_CITRIC_ACID_CYCLE","SYSTEMATIC_NAME":"M39460","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP78","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP78_r113981","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"TCA Cycle (aka Krebs or citric acid cycle)"}
{"STANDARD_NAME":"WP_PARKINSONS_DISEASE_PATHWAY","SYSTEMATIC_NAME":"M39461","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2371","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2371_r115348","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Parkinsons Disease Pathway"}
{"STANDARD_NAME":"WP_ARRHYTHMOGENIC_RIGHT_VENTRICULAR_CARDIOMYOPATHY","SYSTEMATIC_NAME":"M39462","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2118","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2118_r106506","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Arrhythmogenic Right Ventricular Cardiomyopathy"}
{"STANDARD_NAME":"WP_MFAP5MEDIATED_OVARIAN_CANCER_CELL_MOTILITY_AND_INVASIVENESS","SYSTEMATIC_NAME":"M39463","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3301","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3301_r108104","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"MFAP5-mediated ovarian cancer cell motility and invasiveness"}
{"STANDARD_NAME":"WP_TYPE_III_INTERFERON_SIGNALING","SYSTEMATIC_NAME":"M39464","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2113","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2113_r105848","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Type III interferon signaling"}
{"STANDARD_NAME":"WP_HAIR_FOLLICLE_DEVELOPMENT_CYTODIFFERENTIATION_PART_3_OF_3","SYSTEMATIC_NAME":"M39465","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2840","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2840_r115444","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Hair Follicle Development: Cytodifferentiation - Part 3 of 3"}
{"STANDARD_NAME":"WP_LET7_INHIBITION_OF_ES_CELL_REPROGRAMMING","SYSTEMATIC_NAME":"M39466","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3299","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3299_r88676","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"let-7 inhibition of ES cell reprogramming"}
{"STANDARD_NAME":"WP_GLOBO_SPHINGOLIPID_METABOLISM","SYSTEMATIC_NAME":"M39467","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP1424","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP1424_r115205","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Globo Sphingolipid Metabolism"}
{"STANDARD_NAME":"WP_UREA_CYCLE_AND_METABOLISM_OF_AMINO_GROUPS","SYSTEMATIC_NAME":"M39468","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP497","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP497_r114002","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Urea cycle and metabolism of amino groups"}
{"STANDARD_NAME":"WP_NONHOMOLOGOUS_END_JOINING","SYSTEMATIC_NAME":"M39469","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP438","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP438_r108414","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Non-homologous end joining"}
{"STANDARD_NAME":"WP_HEME_BIOSYNTHESIS","SYSTEMATIC_NAME":"M39470","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP561","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP561_r107186","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Heme Biosynthesis"}
{"STANDARD_NAME":"WP_ONE_CARBON_METABOLISM","SYSTEMATIC_NAME":"M39471","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP241","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP241_r113976","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"One Carbon Metabolism"}
{"STANDARD_NAME":"WP_H19_ACTION_RBE2F1_SIGNALING_AND_CDKBETACATENIN_ACTIVITY","SYSTEMATIC_NAME":"M39472","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3969","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3969_r106437","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"H19 action Rb-E2F1 signaling and CDK-Beta-catenin activity"}
{"STANDARD_NAME":"WP_OVERVIEW_OF_NANOPARTICLE_EFFECTS","SYSTEMATIC_NAME":"M39473","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3287","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3287_r113822","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Overview of nanoparticle effects"}
{"STANDARD_NAME":"WP_GLYCOLYSIS_AND_GLUCONEOGENESIS","SYSTEMATIC_NAME":"M39474","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP534","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP534_r107184","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Glycolysis and Gluconeogenesis"}
{"STANDARD_NAME":"WP_MYOMETRIAL_RELAXATION_AND_CONTRACTION_PATHWAYS","SYSTEMATIC_NAME":"M39475","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP289","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP289_r107347","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Myometrial Relaxation and Contraction Pathways"}
{"STANDARD_NAME":"WP_CONSTITUTIVE_ANDROSTANE_RECEPTOR_PATHWAY","SYSTEMATIC_NAME":"M39476","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2875","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2875_r106366","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Constitutive Androstane Receptor Pathway"}
{"STANDARD_NAME":"WP_LUNG_FIBROSIS","SYSTEMATIC_NAME":"M39477","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3624","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3624_r110182","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Lung fibrosis"}
{"STANDARD_NAME":"WP_SIMPLIFIED_DEPICTION_OF_MYD88_DISTINCT_INPUTOUTPUT_PATHWAY","SYSTEMATIC_NAME":"M39478","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3877","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3877_r105817","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Simplified Depiction of MYD88 Distinct Input-Output Pathway"}
{"STANDARD_NAME":"WP_NANOMATERIAL_INDUCED_APOPTOSIS","SYSTEMATIC_NAME":"M39479","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2507","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2507_r110715","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Nanomaterial induced apoptosis"}
{"STANDARD_NAME":"WP_BLOOD_CLOTTING_CASCADE","SYSTEMATIC_NAME":"M39480","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP272","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP272_r115461","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Blood Clotting Cascade"}
{"STANDARD_NAME":"WP_ETHANOL_METABOLISM_RESULTING_IN_PRODUCTION_OF_ROS_BY_CYP2E1","SYSTEMATIC_NAME":"M39481","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4269","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4269_r106788","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Ethanol metabolism resulting in production of ROS by CYP2E1"}
{"STANDARD_NAME":"WP_INSULIN_SIGNALING","SYSTEMATIC_NAME":"M39482","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP481","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP481_r106617","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Insulin Signaling"}
{"STANDARD_NAME":"WP_SULFATION_BIOTRANSFORMATION_REACTION","SYSTEMATIC_NAME":"M39483","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP692","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP692_r106825","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Sulfation Biotransformation Reaction"}
{"STANDARD_NAME":"WP_INTERACTOME_OF_POLYCOMB_REPRESSIVE_COMPLEX_2_PRC2","SYSTEMATIC_NAME":"M39484","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2916","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2916_r104425","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Interactome of polycomb repressive complex 2 (PRC2) "}
{"STANDARD_NAME":"WP_SEROTONIN_RECEPTOR_2_AND_ELKSRFGATA4_SIGNALING","SYSTEMATIC_NAME":"M39485","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP732","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP732_r106487","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Serotonin Receptor 2 and ELK-SRF/GATA4 signaling"}
{"STANDARD_NAME":"WP_ROBO4_AND_VEGF_SIGNALING_PATHWAYS_CROSSTALK","SYSTEMATIC_NAME":"M39486","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3943","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3943_r106492","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Robo4 and VEGF Signaling Pathways Crosstalk"}
{"STANDARD_NAME":"WP_NANOPARTICLE_TRIGGERED_REGULATED_NECROSIS","SYSTEMATIC_NAME":"M39487","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2513","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2513_r110691","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Nanoparticle triggered regulated necrosis"}
{"STANDARD_NAME":"WP_NUCLEAR_RECEPTORS_IN_LIPID_METABOLISM_AND_TOXICITY","SYSTEMATIC_NAME":"M39488","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP299","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP299_r107139","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Nuclear Receptors in Lipid Metabolism and Toxicity"}
{"STANDARD_NAME":"WP_TCA_CYCLE_AND_DEFICIENCY_OF_PYRUVATE_DEHYDROGENASE_COMPLEX_PDHC","SYSTEMATIC_NAME":"M39489","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2453","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2453_r107130","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"TCA Cycle and Deficiency of Pyruvate Dehydrogenase complex (PDHc)"}
{"STANDARD_NAME":"WP_DNA_IRDAMAGE_AND_CELLULAR_RESPONSE_VIA_ATR","SYSTEMATIC_NAME":"M39490","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4016","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4016_r108188","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"DNA IR-damage and cellular response via ATR"}
{"STANDARD_NAME":"WP_LEPTIN_SIGNALING_PATHWAY","SYSTEMATIC_NAME":"M39491","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2034","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2034_r106629","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Leptin signaling pathway"}
{"STANDARD_NAME":"WP_DNA_DAMAGE_RESPONSE_ONLY_ATM_DEPENDENT","SYSTEMATIC_NAME":"M39492","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP710","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP710_r113791","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"DNA Damage Response (only ATM dependent)"}
{"STANDARD_NAME":"WP_METHYLATION_PATHWAYS","SYSTEMATIC_NAME":"M39493","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP704","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP704_r107581","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Methylation Pathways"}
{"STANDARD_NAME":"WP_NLR_PROTEINS","SYSTEMATIC_NAME":"M39494","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP288","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP288_r80026","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"NLR Proteins"}
{"STANDARD_NAME":"WP_CYTOPLASMIC_RIBOSOMAL_PROTEINS","SYSTEMATIC_NAME":"M39495","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP477","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP477_r108309","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Cytoplasmic Ribosomal Proteins"}
{"STANDARD_NAME":"WP_ESTROGEN_RECEPTOR_PATHWAY","SYSTEMATIC_NAME":"M39496","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2881","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2881_r106406","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Estrogen Receptor Pathway"}
{"STANDARD_NAME":"WP_GASTRIC_CANCER_NETWORK_2","SYSTEMATIC_NAME":"M39497","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2363","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2363_r108061","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Gastric Cancer Network 2"}
{"STANDARD_NAME":"WP_PHYTOCHEMICAL_ACTIVITY_ON_NRF2_TRANSCRIPTIONAL_ACTIVATION","SYSTEMATIC_NAME":"M39498","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3_r106155","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Phytochemical activity on NRF2 transcriptional activation"}
{"STANDARD_NAME":"WP_IL7_SIGNALING_PATHWAY","SYSTEMATIC_NAME":"M39499","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP205","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP205_r108328","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"IL-7 Signaling Pathway"}
{"STANDARD_NAME":"WP_TRYPTOPHAN_METABOLISM","SYSTEMATIC_NAME":"M39500","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP465","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP465_r113999","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Tryptophan metabolism"}
{"STANDARD_NAME":"WP_SPHINGOLIPID_PATHWAY","SYSTEMATIC_NAME":"M39501","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP1422","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP1422_r110178","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Sphingolipid pathway"}
{"STANDARD_NAME":"WP_COMPLEMENT_ACTIVATION","SYSTEMATIC_NAME":"M39502","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP545","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP545_r106816","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Complement Activation"}
{"STANDARD_NAME":"WP_ALPHA_6_BETA_4_SIGNALING_PATHWAY","SYSTEMATIC_NAME":"M39503","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP244","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP244_r108319","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Alpha 6 Beta 4 signaling pathway"}
{"STANDARD_NAME":"WP_SLEEP_REGULATION","SYSTEMATIC_NAME":"M39504","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3591","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3591_r88424","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Sleep regulation"}
{"STANDARD_NAME":"WP_ADIPOGENESIS","SYSTEMATIC_NAME":"M39505","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP236","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP236_r105873","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Adipogenesis"}
{"STANDARD_NAME":"WP_NEOVASCULARISATION_PROCESSES","SYSTEMATIC_NAME":"M39506","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4331","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4331_r107654","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Neovascularisation processes"}
{"STANDARD_NAME":"WP_ATR_SIGNALING","SYSTEMATIC_NAME":"M39507","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3875","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3875_r105872","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"ATR Signaling"}
{"STANDARD_NAME":"WP_TYROBP_CAUSAL_NETWORK","SYSTEMATIC_NAME":"M39508","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3945","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3945_r107558","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"TYROBP Causal Network"}
{"STANDARD_NAME":"WP_SUPRESSION_OF_HMGB1_MEDIATED_INFLAMMATION_BY_THBD","SYSTEMATIC_NAME":"M39509","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4479","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4479_r102253","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Supression of HMGB1 mediated inflammation by THBD"}
{"STANDARD_NAME":"WP_SEROTONIN_AND_ANXIETY","SYSTEMATIC_NAME":"M39511","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3947","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3947_r106483","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Serotonin and anxiety"}
{"STANDARD_NAME":"WP_NCRNAS_INVOLVED_IN_STAT3_SIGNALING_IN_HEPATOCELLULAR_CARCINOMA","SYSTEMATIC_NAME":"M39512","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4337","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4337_r108190","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"ncRNAs involved in STAT3 signaling in hepatocellular carcinoma"}
{"STANDARD_NAME":"WP_EV_RELEASE_FROM_CARDIAC_CELLS_AND_THEIR_FUNCTIONAL_EFFECTS","SYSTEMATIC_NAME":"M39513","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3297","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3297_r106734","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"EV release from cardiac cells and their functional effects"}
{"STANDARD_NAME":"WP_STATIN_PATHWAY","SYSTEMATIC_NAME":"M39514","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP430","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP430_r108375","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Statin Pathway"}
{"STANDARD_NAME":"WP_ARACHIDONATE_EPOXYGENASE_EPOXIDE_HYDROLASE","SYSTEMATIC_NAME":"M39515","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP678","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP678_r106822","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Arachidonate Epoxygenase / Epoxide Hydrolase"}
{"STANDARD_NAME":"WP_EXTRACELLULAR_VESICLEMEDIATED_SIGNALING_IN_RECIPIENT_CELLS","SYSTEMATIC_NAME":"M39516","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2870","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2870_r106411","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Extracellular vesicle-mediated signaling in recipient cells"}
{"STANDARD_NAME":"WP_LEPTIN_INSULIN_OVERLAP","SYSTEMATIC_NAME":"M39517","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3935","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3935_r107152","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Leptin Insulin Overlap"}
{"STANDARD_NAME":"WP_ATM_SIGNALING_NETWORK_IN_DEVELOPMENT_AND_DISEASE","SYSTEMATIC_NAME":"M39518","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3878","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3878_r106756","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"ATM Signaling Network in Development and Disease "}
{"STANDARD_NAME":"WP_BONE_MORPHOGENIC_PROTEIN_BMP_SIGNALLING_AND_REGULATION","SYSTEMATIC_NAME":"M39519","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP1425","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP1425_r106344","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Bone Morphogenic Protein (BMP) Signalling and Regulation"}
{"STANDARD_NAME":"WP_REGULATION_OF_ACTIN_CYTOSKELETON","SYSTEMATIC_NAME":"M39520","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP51","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP51_r113897","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Regulation of Actin Cytoskeleton"}
{"STANDARD_NAME":"WP_INITIATION_OF_TRANSCRIPTION_AND_TRANSLATION_ELONGATION_AT_THE_HIV1_LTR","SYSTEMATIC_NAME":"M39521","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3414","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3414_r106735","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Initiation of transcription and translation elongation at the HIV-1 LTR"}
{"STANDARD_NAME":"WP_TUMOR_SUPPRESSOR_ACTIVITY_OF_SMARCB1","SYSTEMATIC_NAME":"M39522","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4204","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4204_r108297","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Tumor suppressor activity of SMARCB1"}
{"STANDARD_NAME":"WP_BLADDER_CANCER","SYSTEMATIC_NAME":"M39523","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2828","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2828_r115349","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Bladder Cancer"}
{"STANDARD_NAME":"WP_MIRNA_REGULATION_OF_DNA_DAMAGE_RESPONSE","SYSTEMATIC_NAME":"M39524","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP1530","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP1530_r113793","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"miRNA Regulation of DNA Damage Response"}
{"STANDARD_NAME":"WP_REGULATION_OF_WNTBCATENIN_SIGNALING_BY_SMALL_MOLECULE_COMPOUNDS","SYSTEMATIC_NAME":"M39525","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3664","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3664_r111245","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Regulation of Wnt/B-catenin Signaling by Small Molecule Compounds"}
{"STANDARD_NAME":"WP_GPR40_PATHWAY","SYSTEMATIC_NAME":"M39526","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3958","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3958_r107154","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"GPR40 Pathway"}
{"STANDARD_NAME":"WP_DEVELOPMENT_OF_PULMONARY_DENDRITIC_CELLS_AND_MACROPHAGE_SUBSETS","SYSTEMATIC_NAME":"M39527","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3892","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3892_r106387","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Development of pulmonary dendritic cells and macrophage subsets"}
{"STANDARD_NAME":"WP_CELL_DIFFERENTIATION_INDEX","SYSTEMATIC_NAME":"M39528","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2029","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2029_r108731","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Cell Differentiation - Index"}
{"STANDARD_NAME":"WP_PHOTODYNAMIC_THERAPYINDUCED_NFKB_SURVIVAL_SIGNALING","SYSTEMATIC_NAME":"M39529","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3617","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3617_r106541","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Photodynamic therapy-induced NF-kB survival signaling"}
{"STANDARD_NAME":"WP_ESC_PLURIPOTENCY_PATHWAYS","SYSTEMATIC_NAME":"M39530","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3931","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3931_r106768","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"ESC Pluripotency Pathways"}
{"STANDARD_NAME":"WP_NOCGMPPKG_MEDIATED_NEUROPROTECTION","SYSTEMATIC_NAME":"M39531","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4008","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4008_r110707","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"NO/cGMP/PKG mediated Neuroprotection"}
{"STANDARD_NAME":"WP_BDNFTRKB_SIGNALING","SYSTEMATIC_NAME":"M39532","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3676","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3676_r106307","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"BDNF-TrkB Signaling"}
{"STANDARD_NAME":"WP_REGULATION_OF_APOPTOSIS_BY_PARATHYROID_HORMONERELATED_PROTEIN","SYSTEMATIC_NAME":"M39533","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3872","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3872_r106498","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Regulation of Apoptosis by Parathyroid Hormone-related Protein"}
{"STANDARD_NAME":"WP_MAMMARY_GLAND_DEVELOPMENT_PATHWAY_INVOLUTION_STAGE_4_OF_4","SYSTEMATIC_NAME":"M39534","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2815","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2815_r102408","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Mammary gland development pathway - Involution (Stage 4 of 4)"}
{"STANDARD_NAME":"WP_HFE_EFFECT_ON_HEPCIDIN_PRODUCTION","SYSTEMATIC_NAME":"M39535","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3924","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3924_r96137","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Hfe effect on hepcidin production"}
{"STANDARD_NAME":"WP_IL2_SIGNALING_PATHWAY","SYSTEMATIC_NAME":"M39536","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP49","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP49_r95132","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"IL-2 Signaling Pathway"}
{"STANDARD_NAME":"WP_INSULIN_SIGNALLING_IN_HUMAN_ADIPOCYTES_DIABETIC_CONDITION","SYSTEMATIC_NAME":"M39537","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3635","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3635_r102468","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Insulin signalling in human adipocytes (diabetic condition)"}
{"STANDARD_NAME":"WP_STEROID_BIOSYNTHESIS","SYSTEMATIC_NAME":"M39538","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP496","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP496_r115214","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Steroid Biosynthesis"}
{"STANDARD_NAME":"WP_LEPTIN_AND_ADIPONECTIN","SYSTEMATIC_NAME":"M39539","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3934","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3934_r107151","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Leptin and adiponectin"}
{"STANDARD_NAME":"WP_NOTCH_SIGNALING_PATHWAY_NETPATH","SYSTEMATIC_NAME":"M39540","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP61","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP61_r108322","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Notch Signaling Pathway Netpath"}
{"STANDARD_NAME":"WP_NSP1_FROM_SARSCOV2_INHIBITS_TRANSLATION_INITIATION_IN_THE_HOST_CELL","SYSTEMATIC_NAME":"M40040","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP5027","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP5027_r114436","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"nsp1 from SARS-CoV-2 inhibits translation initiation in the host cell"}
{"STANDARD_NAME":"WP_NAD_METABOLISM","SYSTEMATIC_NAME":"M39541","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3644","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3644_r115123","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"NAD+ metabolism"}
{"STANDARD_NAME":"WP_PRADERWILLI_AND_ANGELMAN_SYNDROME","SYSTEMATIC_NAME":"M39542","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3998","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3998_r113877","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Prader-Willi and Angelman Syndrome"}
{"STANDARD_NAME":"WP_STRUCTURAL_PATHWAY_OF_INTERLEUKIN_1_IL1","SYSTEMATIC_NAME":"M39543","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2637","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2637_r107551","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Structural Pathway of Interleukin 1 (IL-1)"}
{"STANDARD_NAME":"WP_HAIR_FOLLICLE_DEVELOPMENT_ORGANOGENESIS_PART_2_OF_3","SYSTEMATIC_NAME":"M40041","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2839","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2839_r115446","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Hair Follicle Development: Organogenesis - Part 2 of 3"}
{"STANDARD_NAME":"WP_MITOCHONDRIAL_GENE_EXPRESSION","SYSTEMATIC_NAME":"M39544","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP391","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP391_r106760","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Mitochondrial Gene Expression"}
{"STANDARD_NAME":"WP_CANONICAL_AND_NONCANONICAL_NOTCH_SIGNALING","SYSTEMATIC_NAME":"M39545","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3845","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3845_r110756","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Canonical and Non-canonical Notch signaling"}
{"STANDARD_NAME":"WP_MESODERMAL_COMMITMENT_PATHWAY","SYSTEMATIC_NAME":"M39546","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2857","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2857_r110685","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Mesodermal Commitment Pathway"}
{"STANDARD_NAME":"WP_PPAR_ALPHA_PATHWAY","SYSTEMATIC_NAME":"M39547","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2878","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2878_r106549","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"PPAR Alpha Pathway"}
{"STANDARD_NAME":"WP_PTF1A_RELATED_REGULATORY_PATHWAY","SYSTEMATIC_NAME":"M39548","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4147","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4147_r94394","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"PTF1A related regulatory pathway"}
{"STANDARD_NAME":"WP_STRIATED_MUSCLE_CONTRACTION_PATHWAY","SYSTEMATIC_NAME":"M39549","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP383","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP383_r105826","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Striated Muscle Contraction Pathway"}
{"STANDARD_NAME":"WP_APOE_AND_MIR146_IN_INFLAMMATION_AND_ATHEROSCLEROSIS","SYSTEMATIC_NAME":"M39550","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3926","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3926_r106298","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"ApoE and miR-146 in inflammation and atherosclerosis"}
{"STANDARD_NAME":"WP_AFLATOXIN_B1_METABOLISM","SYSTEMATIC_NAME":"M39551","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP699","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP699_r106828","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Aflatoxin B1 metabolism"}
{"STANDARD_NAME":"WP_MAPK_AND_NFKB_SIGNALLING_PATHWAYS_INHIBITED_BY_YERSINIA_YOPJ","SYSTEMATIC_NAME":"M39552","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3849","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3849_r106636","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"MAPK and NFkB Signalling Pathways Inhibited by Yersinia YopJ"}
{"STANDARD_NAME":"WP_PPAR_SIGNALING_PATHWAY","SYSTEMATIC_NAME":"M39553","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3942","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3942_r106517","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"PPAR signaling pathway"}
{"STANDARD_NAME":"WP_VITAMIN_A_AND_CAROTENOID_METABOLISM","SYSTEMATIC_NAME":"M39554","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP716","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP716_r110181","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Vitamin A and Carotenoid Metabolism"}
{"STANDARD_NAME":"WP_PDGF_PATHWAY","SYSTEMATIC_NAME":"M39555","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2526","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2526_r107132","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"PDGF Pathway"}
{"STANDARD_NAME":"WP_ANGIOGENESIS","SYSTEMATIC_NAME":"M39556","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP1539","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP1539_r105882","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Angiogenesis"}
{"STANDARD_NAME":"WP_LIVER_X_RECEPTOR_PATHWAY","SYSTEMATIC_NAME":"M39557","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2874","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2874_r106631","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Liver X Receptor Pathway"}
{"STANDARD_NAME":"WP_EDA_SIGNALLING_IN_HAIR_FOLLICLE_DEVELOPMENT","SYSTEMATIC_NAME":"M39558","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3930","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3930_r105672","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"EDA Signalling in Hair Follicle Development"}
{"STANDARD_NAME":"WP_REGULATION_OF_TOLLLIKE_RECEPTOR_SIGNALING_PATHWAY","SYSTEMATIC_NAME":"M39559","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP1449","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP1449_r106494","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Regulation of toll-like receptor signaling pathway"}
{"STANDARD_NAME":"WP_IL17_SIGNALING_PATHWAY","SYSTEMATIC_NAME":"M39560","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2112","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2112_r106599","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"IL17 signaling pathway"}
{"STANDARD_NAME":"WP_TLR4_SIGNALING_AND_TOLERANCE","SYSTEMATIC_NAME":"M39561","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3851","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3851_r105835","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"TLR4 Signaling and Tolerance"}
{"STANDARD_NAME":"WP_ONCOSTATIN_M_SIGNALING_PATHWAY","SYSTEMATIC_NAME":"M39562","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2374","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2374_r106575","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Oncostatin M Signaling Pathway"}
{"STANDARD_NAME":"WP_NCRNAS_INVOLVED_IN_WNT_SIGNALING_IN_HEPATOCELLULAR_CARCINOMA","SYSTEMATIC_NAME":"M39563","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4336","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4336_r108198","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"ncRNAs involved in Wnt signaling in hepatocellular carcinoma"}
{"STANDARD_NAME":"WP_ERK_PATHWAY_IN_HUNTINGTONS_DISEASE","SYSTEMATIC_NAME":"M39564","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3853","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3853_r108057","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"ERK Pathway in Huntington's Disease"}
{"STANDARD_NAME":"WP_MIRNA_TARGETS_IN_ECM_AND_MEMBRANE_RECEPTORS","SYSTEMATIC_NAME":"M39565","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2911","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2911_r105863","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"miRNA targets in ECM and membrane receptors"}
{"STANDARD_NAME":"WP_REGULATION_OF_MICROTUBULE_CYTOSKELETON","SYSTEMATIC_NAME":"M39566","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2038","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2038_r106497","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Regulation of Microtubule Cytoskeleton"}
{"STANDARD_NAME":"WP_PREGNANE_X_RECEPTOR_PATHWAY","SYSTEMATIC_NAME":"M39567","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2876","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2876_r110712","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Pregnane X Receptor pathway"}
{"STANDARD_NAME":"WP_NONGENOMIC_ACTIONS_OF_125_DIHYDROXYVITAMIN_D3","SYSTEMATIC_NAME":"M39568","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4341","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4341_r107169","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Non-genomic actions of 1,25 dihydroxyvitamin D3"}
{"STANDARD_NAME":"WP_FACTORS_AND_PATHWAYS_AFFECTING_INSULINLIKE_GROWTH_FACTOR_IGF1AKT_SIGNALING","SYSTEMATIC_NAME":"M39569","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3850","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3850_r110688","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Factors and pathways affecting insulin-like growth factor (IGF1)-Akt signaling"}
{"STANDARD_NAME":"WP_AMINO_ACID_METABOLISM","SYSTEMATIC_NAME":"M39570","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3925","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3925_r115752","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Amino Acid metabolism"}
{"STANDARD_NAME":"WP_NOTCH_SIGNALING","SYSTEMATIC_NAME":"M39571","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP268","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP268_r115418","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Notch Signaling"}
{"STANDARD_NAME":"WP_NANOPARTICLEMEDIATED_ACTIVATION_OF_RECEPTOR_SIGNALING","SYSTEMATIC_NAME":"M39572","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2643","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2643_r110709","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Nanoparticle-mediated activation of receptor signaling"}
{"STANDARD_NAME":"WP_TOLLLIKE_RECEPTOR_SIGNALING_RELATED_TO_MYD88","SYSTEMATIC_NAME":"M39573","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3858","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3858_r107438","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Toll-like Receptor Signaling related to MyD88"}
{"STANDARD_NAME":"WP_4HYDROXYTAMOXIFEN_DEXAMETHASONE_AND_RETINOIC_ACIDS_REGULATION_OF_P27_EXPRESSION","SYSTEMATIC_NAME":"M39574","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3879","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3879_r108131","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"4-hydroxytamoxifen, Dexamethasone, and Retinoic Acids Regulation of p27 Expression"}
{"STANDARD_NAME":"WP_ECTODERM_DIFFERENTIATION","SYSTEMATIC_NAME":"M39575","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2858","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2858_r110690","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Ectoderm Differentiation"}
{"STANDARD_NAME":"WP_PHYSIOLOGICAL_AND_PATHOLOGICAL_HYPERTROPHY_OF_THE_HEART","SYSTEMATIC_NAME":"M39576","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP1528","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP1528_r106695","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Physiological and Pathological Hypertrophy of the Heart"}
{"STANDARD_NAME":"WP_INTEGRINMEDIATED_CELL_ADHESION","SYSTEMATIC_NAME":"M39577","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP185","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP185_r106621","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Integrin-mediated Cell Adhesion"}
{"STANDARD_NAME":"WP_EXRNA_MECHANISM_OF_ACTION_AND_BIOGENESIS","SYSTEMATIC_NAME":"M39578","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2805","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2805_r106523","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"exRNA mechanism of action and biogenesis"}
{"STANDARD_NAME":"WP_PREIMPLANTATION_EMBRYO","SYSTEMATIC_NAME":"M39579","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3527","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3527_r106534","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Preimplantation Embryo"}
{"STANDARD_NAME":"WP_DOPAMINERGIC_NEUROGENESIS","SYSTEMATIC_NAME":"M39580","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2855","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2855_r106728","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Dopaminergic Neurogenesis"}
{"STANDARD_NAME":"WP_HUMAN_COMPLEMENT_SYSTEM","SYSTEMATIC_NAME":"M39581","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2806","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2806_r107137","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Human Complement System"}
{"STANDARD_NAME":"WP_MAMMARY_GLAND_DEVELOPMENT_PATHWAY_PUBERTY_STAGE_2_OF_4","SYSTEMATIC_NAME":"M39582","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2814","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2814_r102407","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Mammary gland development pathway - Puberty (Stage 2 of 4)"}
{"STANDARD_NAME":"WP_NOVEL_INTRACELLULAR_COMPONENTS_OF_RIGILIKE_RECEPTOR_RLR_PATHWAY","SYSTEMATIC_NAME":"M39583","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3865","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3865_r106524","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Novel intracellular components of RIG-I-like receptor (RLR) pathway"}
{"STANDARD_NAME":"WP_PILOCYTIC_ASTROCYTOMA","SYSTEMATIC_NAME":"M39584","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2253","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2253_r112071","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Pilocytic astrocytoma"}
{"STANDARD_NAME":"WP_MONOAMINE_GPCRS","SYSTEMATIC_NAME":"M39585","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP58","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP58_r113950","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Monoamine GPCRs"}
{"STANDARD_NAME":"WP_SIMPLIFIED_INTERACTION_MAP_BETWEEN_LOXL4_AND_OXIDATIVE_STRESS_PATHWAY","SYSTEMATIC_NAME":"M39586","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3670","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3670_r108164","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Simplified Interaction Map Between LOXL4 and Oxidative Stress Pathway"}
{"STANDARD_NAME":"WP_SYNTHESIS_AND_DEGRADATION_OF_KETONE_BODIES","SYSTEMATIC_NAME":"M39587","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP311","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP311_r113992","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Synthesis and Degradation of Ketone Bodies"}
{"STANDARD_NAME":"WP_METAPATHWAY_BIOTRANSFORMATION_PHASE_I_AND_II","SYSTEMATIC_NAME":"M39588","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP702","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP702_r106643","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Metapathway biotransformation Phase I and II"}
{"STANDARD_NAME":"WP_CELLTYPE_DEPENDENT_SELECTIVITY_OF_CCK2R_SIGNALING","SYSTEMATIC_NAME":"M39589","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3679","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3679_r96380","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Cell-type Dependent Selectivity of CCK2R Signaling"}
{"STANDARD_NAME":"WP_ENERGY_METABOLISM","SYSTEMATIC_NAME":"M39590","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP1541","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP1541_r106404","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Energy Metabolism"}
{"STANDARD_NAME":"WP_ENDODERM_DIFFERENTIATION","SYSTEMATIC_NAME":"M39591","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2853","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2853_r106401","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Endoderm Differentiation"}
{"STANDARD_NAME":"WP_GLYCEROPHOSPHOLIPID_BIOSYNTHETIC_PATHWAY","SYSTEMATIC_NAME":"M39592","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2533","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2533_r113857","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Glycerophospholipid Biosynthetic Pathway"}
{"STANDARD_NAME":"WP_HEMATOPOIETIC_STEM_CELL_GENE_REGULATION_BY_GABP_ALPHABETA_COMPLEX","SYSTEMATIC_NAME":"M39593","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3657","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3657_r106590","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Hematopoietic Stem Cell Gene Regulation by GABP alpha/beta Complex"}
{"STANDARD_NAME":"WP_MAPK_CASCADE","SYSTEMATIC_NAME":"M39594","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP422","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP422_r112162","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"MAPK Cascade"}
{"STANDARD_NAME":"WP_GLYCOGEN_SYNTHESIS_AND_DEGRADATION","SYSTEMATIC_NAME":"M39595","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP500","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP500_r113973","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Glycogen Synthesis and Degradation"}
{"STANDARD_NAME":"WP_FATTY_ACID_BETA_OXIDATION","SYSTEMATIC_NAME":"M39596","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP143","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP143_r113903","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Fatty Acid Beta Oxidation"}
{"STANDARD_NAME":"WP_MAPK_SIGNALING_PATHWAY","SYSTEMATIC_NAME":"M39597","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP382","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP382_r113991","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"MAPK Signaling Pathway"}
{"STANDARD_NAME":"WP_DNA_IRDOUBLE_STRAND_BREAKS_DSBS_AND_CELLULAR_RESPONSE_VIA_ATM","SYSTEMATIC_NAME":"M39598","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3959","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3959_r101991","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"DNA IR-Double Strand Breaks (DSBs) and cellular response via ATM"}
{"STANDARD_NAME":"WP_OSTEOBLAST_SIGNALING","SYSTEMATIC_NAME":"M39599","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP322","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP322_r107607","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Osteoblast Signaling"}
{"STANDARD_NAME":"WP_NICOTINE_METABOLISM","SYSTEMATIC_NAME":"M39600","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP1600","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP1600_r106147","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Nicotine Metabolism"}
{"STANDARD_NAME":"WP_PROLACTIN_SIGNALING_PATHWAY","SYSTEMATIC_NAME":"M39601","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2037","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2037_r106530","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Prolactin Signaling Pathway"}
{"STANDARD_NAME":"WP_NEURODEGENERATION_WITH_BRAIN_IRON_ACCUMULATION_NBIA_SUBTYPES_PATHWAY","SYSTEMATIC_NAME":"M39602","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4577","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4577_r109208","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Neurodegeneration with brain iron accumulation (NBIA) subtypes pathway"}
{"STANDARD_NAME":"WP_OSTEOPONTIN_SIGNALING","SYSTEMATIC_NAME":"M39603","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP1434","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP1434_r106571","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Osteopontin Signaling"}
{"STANDARD_NAME":"WP_CORI_CYCLE","SYSTEMATIC_NAME":"M39604","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP1946","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP1946_r108783","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Cori Cycle"}
{"STANDARD_NAME":"WP_CIRCADIAN_RHYTHM_RELATED_GENES","SYSTEMATIC_NAME":"M39605","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3594","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3594_r108782","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Circadian rhythm related genes"}
{"STANDARD_NAME":"WP_G13_SIGNALING_PATHWAY","SYSTEMATIC_NAME":"M39606","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP524","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP524_r106423","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"G13 Signaling Pathway"}
{"STANDARD_NAME":"WP_TGIF_DISRUPTION_OF_SHH_SIGNALING","SYSTEMATIC_NAME":"M39607","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3674","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3674_r113712","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Tgif disruption of Shh signaling"}
{"STANDARD_NAME":"WP_CHOLESTEROL_BIOSYNTHESIS_PATHWAY","SYSTEMATIC_NAME":"M39608","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP197","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP197_r106703","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Cholesterol Biosynthesis Pathway"}
{"STANDARD_NAME":"WP_FOLLICLE_STIMULATING_HORMONE_FSH_SIGNALING_PATHWAY","SYSTEMATIC_NAME":"M39609","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2035","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2035_r101857","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Follicle Stimulating Hormone (FSH) signaling pathway"}
{"STANDARD_NAME":"WP_HEART_DEVELOPMENT","SYSTEMATIC_NAME":"M39610","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP1591","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP1591_r106589","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Heart Development"}
{"STANDARD_NAME":"WP_IRINOTECAN_PATHWAY","SYSTEMATIC_NAME":"M39611","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP229","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP229_r115612","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Irinotecan Pathway"}
{"STANDARD_NAME":"WP_FLUOROPYRIMIDINE_ACTIVITY","SYSTEMATIC_NAME":"M39612","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP1601","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP1601_r108138","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Fluoropyrimidine Activity"}
{"STANDARD_NAME":"WP_PATHOGENIC_ESCHERICHIA_COLI_INFECTION","SYSTEMATIC_NAME":"M39613","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2272","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2272_r106514","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Pathogenic Escherichia coli infection"}
{"STANDARD_NAME":"WP_SEROTONIN_AND_ANXIETYRELATED_EVENTS","SYSTEMATIC_NAME":"M39614","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3944","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3944_r106484","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Serotonin and anxiety-related events"}
{"STANDARD_NAME":"WP_ARYL_HYDROCARBON_RECEPTOR_PATHWAY","SYSTEMATIC_NAME":"M39615","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2873","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2873_r106304","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Aryl Hydrocarbon Receptor Pathway"}
{"STANDARD_NAME":"WP_PDGFRBETA_PATHWAY","SYSTEMATIC_NAME":"M39616","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3972","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3972_r108157","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"PDGFR-beta pathway"}
{"STANDARD_NAME":"WP_FOLATE_METABOLISM","SYSTEMATIC_NAME":"M39617","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP176","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP176_r107123","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Folate Metabolism"}
{"STANDARD_NAME":"WP_PHOTODYNAMIC_THERAPYINDUCED_UNFOLDED_PROTEIN_RESPONSE","SYSTEMATIC_NAME":"M39618","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3613","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3613_r106539","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Photodynamic therapy-induced unfolded protein response"}
{"STANDARD_NAME":"WP_SENESCENCE_AND_AUTOPHAGY_IN_CANCER","SYSTEMATIC_NAME":"M39619","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP615","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP615_r115575","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Senescence and Autophagy in Cancer"}
{"STANDARD_NAME":"WP_KENNEDY_PATHWAY_FROM_SPHINGOLIPIDS","SYSTEMATIC_NAME":"M39620","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3933","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3933_r114252","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Kennedy pathway from Sphingolipids"}
{"STANDARD_NAME":"WP_TCA_CYCLE_NUTRIENT_UTILIZATION_AND_INVASIVENESS_OF_OVARIAN_CANCER","SYSTEMATIC_NAME":"M39621","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2868","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2868_r112051","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"TCA Cycle Nutrient Utilization and Invasiveness of Ovarian Cancer"}
{"STANDARD_NAME":"WP_DOPAMINE_METABOLISM","SYSTEMATIC_NAME":"M39622","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2436","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2436_r107129","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Dopamine metabolism"}
{"STANDARD_NAME":"WP_ENDOMETRIAL_CANCER","SYSTEMATIC_NAME":"M39623","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4155","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4155_r112038","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Endometrial cancer"}
{"STANDARD_NAME":"WP_BMP_SIGNALING_PATHWAY_IN_EYELID_DEVELOPMENT","SYSTEMATIC_NAME":"M39624","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3927","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3927_r115753","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"BMP Signaling Pathway in Eyelid Development"}
{"STANDARD_NAME":"WP_MICRORNAS_IN_CARDIOMYOCYTE_HYPERTROPHY","SYSTEMATIC_NAME":"M39625","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP1544","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP1544_r108800","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"MicroRNAs in cardiomyocyte hypertrophy"}
{"STANDARD_NAME":"WP_GLUCOCORTICOID_RECEPTOR_PATHWAY","SYSTEMATIC_NAME":"M40042","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2880","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2880_r112288","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Glucocorticoid Receptor Pathway"}
{"STANDARD_NAME":"WP_SECRETION_OF_HYDROCHLORIC_ACID_IN_PARIETAL_CELLS","SYSTEMATIC_NAME":"M39626","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2597","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2597_r106721","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Secretion of Hydrochloric Acid in Parietal Cells"}
{"STANDARD_NAME":"WP_G1_TO_S_CELL_CYCLE_CONTROL","SYSTEMATIC_NAME":"M39627","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP45","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP45_r106424","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"G1 to S cell cycle control"}
{"STANDARD_NAME":"WP_INTEGRATED_CANCER_PATHWAY","SYSTEMATIC_NAME":"M39628","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP1971","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP1971_r106620","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Integrated Cancer Pathway"}
{"STANDARD_NAME":"WP_GPCRS_OTHER","SYSTEMATIC_NAME":"M39629","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP117","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP117_r107421","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"GPCRs, Other"}
{"STANDARD_NAME":"WP_AMPACTIVATED_PROTEIN_KINASE_AMPK_SIGNALING","SYSTEMATIC_NAME":"M39630","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP1403","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP1403_r106688","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"AMP-activated Protein Kinase (AMPK) Signaling"}
{"STANDARD_NAME":"WP_TAMOXIFEN_METABOLISM","SYSTEMATIC_NAME":"M39631","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP691","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP691_r114497","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Tamoxifen metabolism"}
{"STANDARD_NAME":"WP_TCELL_RECEPTOR_AND_COSTIMULATORY_SIGNALING","SYSTEMATIC_NAME":"M39632","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2583","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2583_r106720","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"T-Cell Receptor and Co-stimulatory Signaling"}
{"STANDARD_NAME":"WP_NANOMATERIALINDUCED_INFLAMMASOME_ACTIVATION","SYSTEMATIC_NAME":"M39633","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3890","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3890_r110231","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Nanomaterial-induced Inflammasome Activation"}
{"STANDARD_NAME":"WP_HYPOTHETICAL_CRANIOFACIAL_DEVELOPMENT_PATHWAY","SYSTEMATIC_NAME":"M39634","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3655","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3655_r106749","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Hypothetical Craniofacial Development Pathway"}
{"STANDARD_NAME":"WP_TARGET_OF_RAPAMYCIN_TOR_SIGNALING","SYSTEMATIC_NAME":"M39635","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP1471","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP1471_r106444","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Target Of Rapamycin (TOR) Signaling"}
{"STANDARD_NAME":"WP_PRION_DISEASE_PATHWAY","SYSTEMATIC_NAME":"M39636","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3995","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3995_r108089","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Prion disease pathway"}
{"STANDARD_NAME":"WP_SIGNALING_PATHWAYS_IN_GLIOBLASTOMA","SYSTEMATIC_NAME":"M39637","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2261","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2261_r108196","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Signaling Pathways in Glioblastoma"}
{"STANDARD_NAME":"WP_DEGRADATION_PATHWAY_OF_SPHINGOLIPIDS_INCLUDING_DISEASES","SYSTEMATIC_NAME":"M39638","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4153","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4153_r115614","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Degradation pathway of sphingolipids, including diseases"}
{"STANDARD_NAME":"WP_PROTEASOME_DEGRADATION","SYSTEMATIC_NAME":"M39639","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP183","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP183_r106528","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Proteasome Degradation"}
{"STANDARD_NAME":"WP_ACETYLCHOLINE_SYNTHESIS","SYSTEMATIC_NAME":"M39640","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP528","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP528_r106814","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Acetylcholine Synthesis"}
{"STANDARD_NAME":"WP_INFLAMMATORY_RESPONSE_PATHWAY","SYSTEMATIC_NAME":"M39641","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP453","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP453_r106602","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Inflammatory Response Pathway"}
{"STANDARD_NAME":"WP_ASSOCIATION_BETWEEN_PHYSICOCHEMICAL_FEATURES_AND_TOXICITY_ASSOCIATED_PATHWAYS","SYSTEMATIC_NAME":"M39642","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3680","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3680_r106306","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Association Between Physico-Chemical Features and Toxicity Associated Pathways"}
{"STANDARD_NAME":"WP_GPCRS_CLASS_B_SECRETINLIKE","SYSTEMATIC_NAME":"M39643","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP334","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP334_r79716","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"GPCRs, Class B Secretin-like"}
{"STANDARD_NAME":"WP_IL9_SIGNALING_PATHWAY","SYSTEMATIC_NAME":"M39644","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP22","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP22_r108329","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"IL-9 Signaling Pathway"}
{"STANDARD_NAME":"WP_OXIDATIVE_STRESS","SYSTEMATIC_NAME":"M39645","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP408","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP408_r106567","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Oxidative Stress"}
{"STANDARD_NAME":"WP_ENDOCHONDRAL_OSSIFICATION","SYSTEMATIC_NAME":"M39646","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP474","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP474_r106812","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Endochondral Ossification"}
{"STANDARD_NAME":"WP_GENE_REGULATORY_NETWORK_MODELLING_SOMITOGENESIS","SYSTEMATIC_NAME":"M39647","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2854","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2854_r106431","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Gene regulatory network modelling somitogenesis "}
{"STANDARD_NAME":"WP_NAD_BIOSYNTHESIS_II_FROM_TRYPTOPHAN","SYSTEMATIC_NAME":"M39648","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2485","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2485_r108352","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"NAD Biosynthesis II (from tryptophan)"}
{"STANDARD_NAME":"WP_COMPLEMENT_AND_COAGULATION_CASCADES","SYSTEMATIC_NAME":"M39649","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP558","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP558_r106553","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Complement and Coagulation Cascades"}
{"STANDARD_NAME":"WP_CELL_CYCLE","SYSTEMATIC_NAME":"M39650","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP179","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP179_r114261","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Cell Cycle"}
{"STANDARD_NAME":"WP_ENDOTHELIN_PATHWAYS","SYSTEMATIC_NAME":"M39651","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2197","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2197_r108353","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Endothelin Pathways"}
{"STANDARD_NAME":"WP_MATRIX_METALLOPROTEINASES","SYSTEMATIC_NAME":"M39652","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP129","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP129_r106640","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Matrix Metalloproteinases"}
{"STANDARD_NAME":"WP_OXIDATION_BY_CYTOCHROME_P450","SYSTEMATIC_NAME":"M39653","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP43","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP43_r110684","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Oxidation by Cytochrome P450"}
{"STANDARD_NAME":"WP_APOPTOSIS","SYSTEMATIC_NAME":"M39654","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP254","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP254_r106302","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Apoptosis"}
{"STANDARD_NAME":"WP_COMMON_PATHWAYS_UNDERLYING_DRUG_ADDICTION","SYSTEMATIC_NAME":"M39655","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2636","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2636_r106363","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Common Pathways Underlying Drug Addiction"}
{"STANDARD_NAME":"WP_IL6_SIGNALING_PATHWAY","SYSTEMATIC_NAME":"M39656","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP364","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP364_r108327","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"IL-6 signaling pathway"}
{"STANDARD_NAME":"WP_NUCLEAR_RECEPTORS","SYSTEMATIC_NAME":"M39657","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP170","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP170_r106664","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Nuclear Receptors"}
{"STANDARD_NAME":"WP_TYPE_II_DIABETES_MELLITUS","SYSTEMATIC_NAME":"M39658","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP1584","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP1584_r111210","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Type II diabetes mellitus"}
{"STANDARD_NAME":"WP_P38_MAPK_SIGNALING_PATHWAY","SYSTEMATIC_NAME":"M39659","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP400","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP400_r105865","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"p38 MAPK Signaling Pathway"}
{"STANDARD_NAME":"WP_IRON_METABOLISM_IN_PLACENTA","SYSTEMATIC_NAME":"M39660","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2007","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2007_r106626","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Iron metabolism in placenta"}
{"STANDARD_NAME":"WP_ARYL_HYDROCARBON_RECEPTOR_NETPATH","SYSTEMATIC_NAME":"M39661","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2586","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2586_r115347","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Aryl Hydrocarbon Receptor Netpath"}
{"STANDARD_NAME":"WP_TNF_ALPHA_SIGNALING_PATHWAY","SYSTEMATIC_NAME":"M39662","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP231","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP231_r111053","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"TNF alpha Signaling Pathway"}
{"STANDARD_NAME":"WP_NUCLEOTIDE_METABOLISM","SYSTEMATIC_NAME":"M39663","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP404","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP404_r107158","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Nucleotide Metabolism"}
{"STANDARD_NAME":"WP_APOPTOSIS_MODULATION_AND_SIGNALING","SYSTEMATIC_NAME":"M39664","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP1772","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP1772_r107525","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Apoptosis Modulation and Signaling"}
{"STANDARD_NAME":"WP_DIFFERENTIATION_OF_WHITE_AND_BROWN_ADIPOCYTE","SYSTEMATIC_NAME":"M39665","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2895","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2895_r87889","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Differentiation of white and brown adipocyte "}
{"STANDARD_NAME":"WP_DRUG_INDUCTION_OF_BILE_ACID_PATHWAY","SYSTEMATIC_NAME":"M39666","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2289","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2289_r106211","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Drug Induction of Bile Acid Pathway"}
{"STANDARD_NAME":"WP_RANKLRANK_RECEPTOR_ACTIVATOR_OF_NFKB_LIGAND_SIGNALING_PATHWAY","SYSTEMATIC_NAME":"M39667","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2018","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2018_r115690","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"RANKL/RANK (Receptor activator of NFKB (ligand)) Signaling Pathway"}
{"STANDARD_NAME":"WP_DNA_MISMATCH_REPAIR","SYSTEMATIC_NAME":"M39668","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP531","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP531_r113644","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"DNA Mismatch Repair"}
{"STANDARD_NAME":"WP_WNT_SIGNALING","SYSTEMATIC_NAME":"M39669","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP428","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP428_r115436","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Wnt Signaling"}
{"STANDARD_NAME":"WP_MICRORNA_FOR_TARGETING_CANCER_GROWTH_AND_VASCULARIZATION_IN_GLIOBLASTOMA","SYSTEMATIC_NAME":"M39670","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3593","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3593_r108122","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"MicroRNA for Targeting Cancer Growth and Vascularization in Glioblastoma"}
{"STANDARD_NAME":"WP_SULINDAC_METABOLIC_PATHWAY","SYSTEMATIC_NAME":"M39671","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2542","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2542_r105115","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Sulindac Metabolic Pathway"}
{"STANDARD_NAME":"WP_ESTROGEN_SIGNALING_PATHWAY","SYSTEMATIC_NAME":"M39672","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP712","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP712_r109450","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Estrogen signaling pathway"}
{"STANDARD_NAME":"WP_FAS_LIGAND_FASL_PATHWAY_AND_STRESS_INDUCTION_OF_HEAT_SHOCK_PROTEINS_HSP_REGULATION","SYSTEMATIC_NAME":"M39673","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP314","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP314_r109375","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Fas Ligand (FasL) pathway and Stress induction of Heat Shock Proteins (HSP) regulation"}
{"STANDARD_NAME":"WP_HYPERTROPHY_MODEL","SYSTEMATIC_NAME":"M39674","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP516","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP516_r106595","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Hypertrophy Model"}
{"STANDARD_NAME":"WP_HEDGEHOG_SIGNALING_PATHWAY_NETPATH","SYSTEMATIC_NAME":"M39675","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP47","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP47_r111020","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Hedgehog Signaling Pathway Netpath"}
{"STANDARD_NAME":"WP_CANNABINOID_RECEPTOR_SIGNALING","SYSTEMATIC_NAME":"M39676","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3869","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3869_r106148","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Cannabinoid receptor signaling"}
{"STANDARD_NAME":"WP_EFFECTS_OF_NITRIC_OXIDE","SYSTEMATIC_NAME":"M39677","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP1995","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP1995_r106705","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Effects of Nitric Oxide"}
{"STANDARD_NAME":"WP_RETINOBLASTOMA_GENE_IN_CANCER","SYSTEMATIC_NAME":"M39678","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2446","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2446_r113796","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Retinoblastoma Gene in Cancer"}
{"STANDARD_NAME":"WP_SREBF_AND_MIR33_IN_CHOLESTEROL_AND_LIPID_HOMEOSTASIS","SYSTEMATIC_NAME":"M39679","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2011","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2011_r106491","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"SREBF and miR33 in cholesterol and lipid homeostasis"}
{"STANDARD_NAME":"WP_ACE_INHIBITOR_PATHWAY","SYSTEMATIC_NAME":"M39680","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP554","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP554_r107642","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"ACE Inhibitor Pathway"}
{"STANDARD_NAME":"WP_CARDIAC_PROGENITOR_DIFFERENTIATION","SYSTEMATIC_NAME":"M39681","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2406","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2406_r106350","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Cardiac Progenitor Differentiation"}
{"STANDARD_NAME":"WP_PATHWAYS_AFFECTED_IN_ADENOID_CYSTIC_CARCINOMA","SYSTEMATIC_NAME":"M39682","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3651","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3651_r106546","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Pathways Affected in Adenoid Cystic Carcinoma"}
{"STANDARD_NAME":"WP_MIRNA_REGULATION_OF_PROSTATE_CANCER_SIGNALING_PATHWAYS","SYSTEMATIC_NAME":"M39683","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3981","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3981_r108114","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"miRNA regulation of prostate cancer signaling pathways"}
{"STANDARD_NAME":"WP_HUMAN_THYROID_STIMULATING_HORMONE_TSH_SIGNALING_PATHWAY","SYSTEMATIC_NAME":"M39684","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2032","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2032_r110976","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Human Thyroid Stimulating Hormone (TSH) signaling pathway"}
{"STANDARD_NAME":"WP_CARDIAC_HYPERTROPHIC_RESPONSE","SYSTEMATIC_NAME":"M39685","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2795","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2795_r106724","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Cardiac Hypertrophic Response"}
{"STANDARD_NAME":"WP_CANONICAL_AND_NONCANONICAL_TGFB_SIGNALING","SYSTEMATIC_NAME":"M39686","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3874","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3874_r106348","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Canonical and Non-Canonical TGF-B signaling"}
{"STANDARD_NAME":"WP_EPO_RECEPTOR_SIGNALING","SYSTEMATIC_NAME":"M39687","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP581","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP581_r106394","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"EPO Receptor Signaling"}
{"STANDARD_NAME":"WP_APOPTOSISRELATED_NETWORK_DUE_TO_ALTERED_NOTCH3_IN_OVARIAN_CANCER","SYSTEMATIC_NAME":"M39688","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2864","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2864_r108133","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Apoptosis-related network due to altered Notch3 in ovarian cancer"}
{"STANDARD_NAME":"WP_DDX1_AS_A_REGULATORY_COMPONENT_OF_THE_DROSHA_MICROPROCESSOR","SYSTEMATIC_NAME":"M39689","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2942","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2942_r106371","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"DDX1 as a regulatory component of the Drosha microprocessor"}
{"STANDARD_NAME":"WP_PARKINUBIQUITIN_PROTEASOMAL_SYSTEM_PATHWAY","SYSTEMATIC_NAME":"M39690","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2359","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2359_r106548","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Parkin-Ubiquitin Proteasomal System pathway"}
{"STANDARD_NAME":"WP_BRAINDERIVED_NEUROTROPHIC_FACTOR_BDNF_SIGNALING_PATHWAY","SYSTEMATIC_NAME":"M39691","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2380","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2380_r106345","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Brain-Derived Neurotrophic Factor (BDNF) signaling pathway"}
{"STANDARD_NAME":"WP_TRIACYLGLYCERIDE_SYNTHESIS","SYSTEMATIC_NAME":"M39692","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP325","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP325_r115325","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Triacylglyceride Synthesis"}
{"STANDARD_NAME":"WP_EBOLA_VIRUS_PATHWAY_ON_HOST","SYSTEMATIC_NAME":"M39693","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4217","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4217_r101851","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Ebola Virus Pathway on Host"}
{"STANDARD_NAME":"WP_OSTEOCLAST_SIGNALING","SYSTEMATIC_NAME":"M39694","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP12","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP12_r106572","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Osteoclast Signaling"}
{"STANDARD_NAME":"WP_MICROGLIA_PATHOGEN_PHAGOCYTOSIS_PATHWAY","SYSTEMATIC_NAME":"M39695","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3937","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3937_r106647","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Microglia Pathogen Phagocytosis Pathway"}
{"STANDARD_NAME":"WP_PEPTIDE_GPCRS","SYSTEMATIC_NAME":"M39696","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP24","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP24_r113974","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Peptide GPCRs"}
{"STANDARD_NAME":"WP_COMPOSITION_OF_LIPID_PARTICLES","SYSTEMATIC_NAME":"M39697","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3601","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3601_r106212","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Composition of Lipid Particles"}
{"STANDARD_NAME":"WP_NUCLEOTIDEBINDING_OLIGOMERIZATION_DOMAIN_NOD_PATHWAY","SYSTEMATIC_NAME":"M39698","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP1433","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP1433_r106666","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Nucleotide-binding Oligomerization Domain (NOD) pathway"}
{"STANDARD_NAME":"WP_WNT_SIGNALING_IN_KIDNEY_DISEASE","SYSTEMATIC_NAME":"M39699","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4150","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4150_r106778","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Wnt Signaling in Kidney Disease"}
{"STANDARD_NAME":"WP_ANDROGEN_RECEPTOR_SIGNALING_PATHWAY","SYSTEMATIC_NAME":"M39700","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP138","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP138_r108320","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Androgen receptor signaling pathway"}
{"STANDARD_NAME":"WP_LTF_DANGER_SIGNAL_RESPONSE_PATHWAY","SYSTEMATIC_NAME":"M39701","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4478","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4478_r103756","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"LTF danger signal response pathway"}
{"STANDARD_NAME":"WP_MEVALONATE_PATHWAY","SYSTEMATIC_NAME":"M39702","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3963","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3963_r107557","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Mevalonate pathway"}
{"STANDARD_NAME":"WP_SPLICING_FACTOR_NOVA_REGULATED_SYNAPTIC_PROTEINS","SYSTEMATIC_NAME":"M39703","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4148","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4148_r110682","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Splicing factor NOVA regulated synaptic proteins"}
{"STANDARD_NAME":"WP_NAD_BIOSYNTHETIC_PATHWAYS","SYSTEMATIC_NAME":"M39704","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3645","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3645_r106653","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"NAD+ biosynthetic pathways"}
{"STANDARD_NAME":"WP_BIOGENIC_AMINE_SYNTHESIS","SYSTEMATIC_NAME":"M39705","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP550","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP550_r106312","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Biogenic Amine Synthesis"}
{"STANDARD_NAME":"WP_HEDGEHOG_SIGNALING_PATHWAY","SYSTEMATIC_NAME":"M39706","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4249","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4249_r106507","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Hedgehog Signaling Pathway"}
{"STANDARD_NAME":"WP_PHOTODYNAMIC_THERAPYINDUCED_HIF1_SURVIVAL_SIGNALING","SYSTEMATIC_NAME":"M39707","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3614","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3614_r106542","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Photodynamic therapy-induced HIF-1 survival signaling"}
{"STANDARD_NAME":"WP_MACROPHAGE_MARKERS","SYSTEMATIC_NAME":"M39708","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4146","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4146_r107552","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Macrophage markers"}
{"STANDARD_NAME":"WP_PHOTODYNAMIC_THERAPYINDUCED_NFE2L2_NRF2_SURVIVAL_SIGNALING","SYSTEMATIC_NAME":"M39709","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3612","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3612_r106540","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Photodynamic therapy-induced NFE2L2 (NRF2) survival signaling"}
{"STANDARD_NAME":"WP_TRANSSULFURATION_AND_ONE_CARBON_METABOLISM","SYSTEMATIC_NAME":"M39710","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2525","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2525_r106716","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Trans-sulfuration and one carbon metabolism"}
{"STANDARD_NAME":"WP_CYTOKINES_AND_INFLAMMATORY_RESPONSE","SYSTEMATIC_NAME":"M39711","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP530","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP530_r111164","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Cytokines and Inflammatory Response"}
{"STANDARD_NAME":"WP_HOMOLOGOUS_RECOMBINATION","SYSTEMATIC_NAME":"M39712","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP186","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP186_r106593","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Homologous recombination"}
{"STANDARD_NAME":"WP_HYPOTHESIZED_PATHWAYS_IN_PATHOGENESIS_OF_CARDIOVASCULAR_DISEASE","SYSTEMATIC_NAME":"M39713","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3668","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3668_r108207","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Hypothesized Pathways in Pathogenesis of Cardiovascular Disease"}
{"STANDARD_NAME":"WP_ETHANOL_EFFECTS_ON_HISTONE_MODIFICATIONS","SYSTEMATIC_NAME":"M39714","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3996","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3996_r107156","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Ethanol effects on histone modifications"}
{"STANDARD_NAME":"WP_ERBB_SIGNALING_PATHWAY","SYSTEMATIC_NAME":"M39715","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP673","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP673_r112158","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"ErbB Signaling Pathway"}
{"STANDARD_NAME":"WP_INTERLEUKIN11_SIGNALING_PATHWAY","SYSTEMATIC_NAME":"M39716","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2332","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2332_r106623","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Interleukin-11 Signaling Pathway"}
{"STANDARD_NAME":"WP_FATTY_ACID_OMEGA_OXIDATION","SYSTEMATIC_NAME":"M39717","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP206","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP206_r106417","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Fatty Acid Omega Oxidation"}
{"STANDARD_NAME":"WP_VITAMIN_D_RECEPTOR_PATHWAY","SYSTEMATIC_NAME":"M39718","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2877","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2877_r105854","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Vitamin D Receptor Pathway"}
{"STANDARD_NAME":"WP_FOCAL_ADHESIONPI3KAKTMTORSIGNALING_PATHWAY","SYSTEMATIC_NAME":"M39719","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3932","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3932_r106555","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Focal Adhesion-PI3K-Akt-mTOR-signaling pathway"}
{"STANDARD_NAME":"WP_IL4_SIGNALING_PATHWAY","SYSTEMATIC_NAME":"M39720","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP395","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP395_r110790","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"IL-4 Signaling Pathway"}
{"STANDARD_NAME":"WP_WNT_SIGNALING_PATHWAY_NETPATH","SYSTEMATIC_NAME":"M39721","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP363","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP363_r107433","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Wnt Signaling Pathway (Netpath)"}
{"STANDARD_NAME":"WP_IL3_SIGNALING_PATHWAY","SYSTEMATIC_NAME":"M39722","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP286","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP286_r108324","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"IL-3 Signaling Pathway"}
{"STANDARD_NAME":"WP_CELL_DIFFERENTIATION_INDEX_EXPANDED","SYSTEMATIC_NAME":"M39723","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2023","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2023_r108801","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Cell Differentiation - Index expanded"}
{"STANDARD_NAME":"WP_MONOAMINE_TRANSPORT","SYSTEMATIC_NAME":"M39724","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP727","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP727_r107191","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Monoamine Transport"}
{"STANDARD_NAME":"WP_TCELL_ANTIGEN_RECEPTOR_TCR_SIGNALING_PATHWAY","SYSTEMATIC_NAME":"M39725","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP69","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP69_r103503","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"T-Cell antigen Receptor (TCR) Signaling Pathway"}
{"STANDARD_NAME":"WP_GASTRIC_ACID_PRODUCTION","SYSTEMATIC_NAME":"M39726","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP2596","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP2596_r115458","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Gastric acid production"}
{"STANDARD_NAME":"WP_ONE_CARBON_METABOLISM_AND_RELATED_PATHWAYS","SYSTEMATIC_NAME":"M39727","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3940","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3940_r107153","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"One carbon metabolism and related pathways"}
{"STANDARD_NAME":"WP_SMALL_LIGAND_GPCRS","SYSTEMATIC_NAME":"M39728","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP247","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP247_r115417","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Small Ligand GPCRs"}
{"STANDARD_NAME":"WP_VEGFAVEGFR2_SIGNALING_PATHWAY","SYSTEMATIC_NAME":"M39729","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3888","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3888_r115530","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"VEGFA-VEGFR2 Signaling Pathway"}
{"STANDARD_NAME":"WP_GANGLIO_SPHINGOLIPID_METABOLISM","SYSTEMATIC_NAME":"M39730","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP1423","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP1423_r110179","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Ganglio Sphingolipid Metabolism"}
{"STANDARD_NAME":"WP_LNCRNA_INVOLVEMENT_IN_CANONICAL_WNT_SIGNALING_AND_COLORECTAL_CANCER","SYSTEMATIC_NAME":"M39731","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4258","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4258_r108136","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"LncRNA involvement in canonical Wnt signaling and colorectal cancer"}
{"STANDARD_NAME":"WP_PANCREATIC_ADENOCARCINOMA_PATHWAY","SYSTEMATIC_NAME":"M39732","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4263","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4263_r105482","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Pancreatic adenocarcinoma pathway"}
{"STANDARD_NAME":"WP_CELLS_AND_MOLECULES_INVOLVED_IN_LOCAL_ACUTE_INFLAMMATORY_RESPONSE","SYSTEMATIC_NAME":"M39733","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4493","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4493_r102660","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Cells and Molecules involved in local acute inflammatory response "}
{"STANDARD_NAME":"WP_CILIARY_LANDSCAPE","SYSTEMATIC_NAME":"M39734","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4352","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4352_r102218","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Ciliary landscape"}
{"STANDARD_NAME":"WP_EXTRACELLULAR_VESICLES_IN_THE_CROSSTALK_OF_CARDIAC_CELLS","SYSTEMATIC_NAME":"M39735","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4300","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4300_r105311","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Extracellular vesicles in the crosstalk of cardiac cells"}
{"STANDARD_NAME":"WP_PI3KAKT_SIGNALING_PATHWAY","SYSTEMATIC_NAME":"M39736","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4172","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4172_r112040","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"PI3K-Akt Signaling Pathway"}
{"STANDARD_NAME":"WP_INHIBITION_OF_EXOSOME_BIOGENESIS_AND_SECRETION_BY_MANUMYCIN_A_IN_CRPC_CELLS","SYSTEMATIC_NAME":"M39737","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4301","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4301_r97800","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Inhibition of exosome biogenesis and secretion by Manumycin A in CRPC cells"}
{"STANDARD_NAME":"WP_NONSMALL_CELL_LUNG_CANCER","SYSTEMATIC_NAME":"M39738","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4255","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4255_r108128","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Non-small cell lung cancer"}
{"STANDARD_NAME":"WP_BREAST_CANCER_PATHWAY","SYSTEMATIC_NAME":"M39739","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4262","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4262_r108103","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Breast cancer pathway"}
{"STANDARD_NAME":"WP_METABOLIC_REPROGRAMMING_IN_COLON_CANCER","SYSTEMATIC_NAME":"M39740","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4290","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4290_r113958","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Metabolic reprogramming in colon cancer"}
{"STANDARD_NAME":"WP_METHIONINE_METABOLISM_LEADING_TO_SULPHUR_AMINO_ACIDS_AND_RELATED_DISORDERS","SYSTEMATIC_NAME":"M39741","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4292","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4292_r114510","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Methionine metabolism leading to Sulphur Amino Acids and related disorders"}
{"STANDARD_NAME":"WP_SOMATROPH_AXIS_GH_AND_ITS_RELATIONSHIP_TO_DIETARY_RESTRICTION_AND_AGING","SYSTEMATIC_NAME":"M39742","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4186","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4186_r105819","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Somatroph axis (GH) and its relationship to dietary restriction and aging"}
{"STANDARD_NAME":"WP_CALORIC_RESTRICTION_AND_AGING","SYSTEMATIC_NAME":"M39743","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4191","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4191_r106347","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Caloric restriction and aging"}
{"STANDARD_NAME":"WP_FIBRIN_COMPLEMENT_RECEPTOR_3_SIGNALING_PATHWAY","SYSTEMATIC_NAME":"M39744","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4136","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4136_r106418","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Fibrin Complement Receptor 3 Signaling Pathway"}
{"STANDARD_NAME":"WP_RESISTIN_AS_A_REGULATOR_OF_INFLAMMATION","SYSTEMATIC_NAME":"M39745","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4481","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4481_r102529","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Resistin as a regulator of inflammation"}
{"STANDARD_NAME":"WP_THERMOGENESIS","SYSTEMATIC_NAME":"M39746","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4321","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4321_r106178","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Thermogenesis"}
{"STANDARD_NAME":"WP_METABOLIC_PATHWAY_OF_LDL_HDL_AND_TG_INCLUDING_DISEASES","SYSTEMATIC_NAME":"M39747","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4522","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4522_r108085","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Metabolic pathway of LDL, HDL and TG, including diseases"}
{"STANDARD_NAME":"WP_THE_HUMAN_IMMUNE_RESPONSE_TO_TUBERCULOSIS","SYSTEMATIC_NAME":"M39748","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4197","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4197_r105840","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"The human immune response to tuberculosis"}
{"STANDARD_NAME":"WP_THE_ALTERNATIVE_PATHWAY_OF_FETAL_ANDROGEN_SYNTHESIS","SYSTEMATIC_NAME":"M39749","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4524","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4524_r108087","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"The alternative pathway of fetal androgen synthesis"}
{"STANDARD_NAME":"WP_MET_IN_TYPE_1_PAPILLARY_RENAL_CELL_CARCINOMA","SYSTEMATIC_NAME":"M39750","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4205","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4205_r112059","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"MET in type 1 papillary renal cell carcinoma"}
{"STANDARD_NAME":"WP_HEREDITARY_LEIOMYOMATOSIS_AND_RENAL_CELL_CARCINOMA_PATHWAY","SYSTEMATIC_NAME":"M39751","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4206","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4206_r108163","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Hereditary leiomyomatosis and renal cell carcinoma pathway"}
{"STANDARD_NAME":"WP_TRYPTOPHAN_CATABOLISM_LEADING_TO_NAD_PRODUCTION","SYSTEMATIC_NAME":"M39752","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4210","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4210_r95880","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Tryptophan catabolism leading to NAD+ production"}
{"STANDARD_NAME":"WP_TRANSCRIPTIONAL_CASCADE_REGULATING_ADIPOGENESIS","SYSTEMATIC_NAME":"M39753","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4211","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4211_r107570","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Transcriptional cascade regulating adipogenesis"}
{"STANDARD_NAME":"WP_OXYSTEROLS_DERIVED_FROM_CHOLESTEROL","SYSTEMATIC_NAME":"M39754","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4545","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4545_r115605","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Oxysterols derived from cholesterol"}
{"STANDARD_NAME":"WP_MTHFR_DEFICIENCY","SYSTEMATIC_NAME":"M39755","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4288","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4288_r108079","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"MTHFR deficiency"}
{"STANDARD_NAME":"WP_THE_EFFECT_OF_PROGERIN_ON_THE_INVOLVED_GENES_IN_HUTCHINSONGILFORD_PROGERIA_SYNDROME","SYSTEMATIC_NAME":"M39756","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4320","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4320_r108245","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"The effect of progerin on the involved genes in Hutchinson-Gilford Progeria Syndrome"}
{"STANDARD_NAME":"WP_ROLE_OF_ALTERED_GLYCOLYSATION_OF_MUC1_IN_TUMOUR_MICROENVIRONMENT","SYSTEMATIC_NAME":"M39757","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4480","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4480_r107458","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Role of Altered Glycolysation of MUC1 in Tumour Microenvironment"}
{"STANDARD_NAME":"WP_CHROMOSOMAL_AND_MICROSATELLITE_INSTABILITY_IN_COLORECTAL_CANCER","SYSTEMATIC_NAME":"M39758","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4216","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4216_r108124","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Chromosomal and microsatellite instability in colorectal cancer "}
{"STANDARD_NAME":"WP_RETT_SYNDROME_CAUSING_GENES","SYSTEMATIC_NAME":"M39759","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4312","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4312_r104287","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Rett syndrome causing genes"}
{"STANDARD_NAME":"WP_GENOTOXICITY_PATHWAY","SYSTEMATIC_NAME":"M39760","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4286","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4286_r97441","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Genotoxicity pathway"}
{"STANDARD_NAME":"WP_NRF2ARE_REGULATION","SYSTEMATIC_NAME":"M39761","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4357","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4357_r98705","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"NRF2-ARE regulation"}
{"STANDARD_NAME":"WP_LIPID_METABOLISM_PATHWAY","SYSTEMATIC_NAME":"M39762","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP3965","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP3965_r106630","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Lipid Metabolism Pathway"}
{"STANDARD_NAME":"WP_PHOSPHODIESTERASES_IN_NEURONAL_FUNCTION","SYSTEMATIC_NAME":"M39763","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4222","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4222_r107160","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Phosphodiesterases in neuronal function"}
{"STANDARD_NAME":"WP_RAS_SIGNALING","SYSTEMATIC_NAME":"M39764","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4223","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4223_r107655","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Ras Signaling"}
{"STANDARD_NAME":"WP_PYRIMIDINE_METABOLISM_AND_RELATED_DISEASES","SYSTEMATIC_NAME":"M39765","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4225","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4225_r114338","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Pyrimidine metabolism and related diseases"}
{"STANDARD_NAME":"WP_PURINE_METABOLISM_AND_RELATED_DISORDERS","SYSTEMATIC_NAME":"M39766","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4224","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4224_r111936","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Purine metabolism and related disorders"}
{"STANDARD_NAME":"WP_VITAMIN_B6DEPENDENT_AND_RESPONSIVE_DISORDERS","SYSTEMATIC_NAME":"M39767","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4228","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4228_r110710","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Vitamin B6-dependent and responsive disorders"}
{"STANDARD_NAME":"WP_FERROPTOSIS","SYSTEMATIC_NAME":"M39768","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4313","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4313_r113766","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Ferroptosis"}
{"STANDARD_NAME":"WP_DISORDERS_OF_THE_KREBS_CYCLE","SYSTEMATIC_NAME":"M39769","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4236","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4236_r107304","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Disorders of the Krebs cycle"}
{"STANDARD_NAME":"WP_EPITHELIAL_TO_MESENCHYMAL_TRANSITION_IN_COLORECTAL_CANCER","SYSTEMATIC_NAME":"M39770","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4239","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4239_r111457","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Epithelial to mesenchymal transition in colorectal cancer"}
{"STANDARD_NAME":"WP_TYPE_2_PAPILLARY_RENAL_CELL_CARCINOMA","SYSTEMATIC_NAME":"M39771","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4241","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4241_r106520","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Type 2 papillary renal cell carcinoma"}
{"STANDARD_NAME":"WP_REGULATION_OF_SISTER_CHROMATID_SEPARATION_AT_THE_METAPHASEANAPHASE_TRANSITION","SYSTEMATIC_NAME":"M39772","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4240","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4240_r106495","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Regulation of sister chromatid separation at the metaphase-anaphase transition"}
{"STANDARD_NAME":"WP_VITAMIN_D_IN_INFLAMMATORY_DISEASES","SYSTEMATIC_NAME":"M39773","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4482","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4482_r112969","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Vitamin D in inflammatory diseases"}
{"STANDARD_NAME":"WP_THIAMINE_METABOLIC_PATHWAYS","SYSTEMATIC_NAME":"M39774","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4297","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4297_r110714","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Thiamine metabolic pathways"}
{"STANDARD_NAME":"WP_OLIGODENDROCYTE_SPECIFICATION_AND_DIFFERENTIATION_LEADING_TO_MYELIN_COMPONENTS_FOR_CNS","SYSTEMATIC_NAME":"M39775","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4304","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4304_r112156","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Oligodendrocyte specification and differentiation, leading to Myelin Components for CNS"}
{"STANDARD_NAME":"WP_VIRAL_ACUTE_MYOCARDITIS","SYSTEMATIC_NAME":"M39776","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4298","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4298_r110705","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Viral Acute Myocarditis"}
{"STANDARD_NAME":"WP_DISORDERS_OF_FOLATE_METABOLISM_AND_TRANSPORT","SYSTEMATIC_NAME":"M39777","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4259","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4259_r108786","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Disorders of Folate Metabolism and Transport"}
{"STANDARD_NAME":"WP_VITAMIN_B12_DISORDERS","SYSTEMATIC_NAME":"M39778","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4271","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4271_r114414","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Vitamin B12 Disorders"}
{"STANDARD_NAME":"WP_ULTRACONSERVED_REGION_339_MODULATION_OF_TUMOR_SUPPRESSOR_MICRORNAS_IN_CANCER","SYSTEMATIC_NAME":"M39779","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4284","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4284_r108123","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Ultraconserved region 339 modulation of tumor suppressor microRNAs in cancer"}
{"STANDARD_NAME":"WP_MITOCHONDRIAL_FATTY_ACID_SYNTHESIS_PATHWAY","SYSTEMATIC_NAME":"M40043","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4317","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4317_r114309","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Mitochondrial fatty acid synthesis pathway"}
{"STANDARD_NAME":"WP_OMEGA9_FA_SYNTHESIS","SYSTEMATIC_NAME":"M39780","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4724","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4724_r107608","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Omega-9 FA synthesis"}
{"STANDARD_NAME":"WP_MITOCHONDRIAL_COMPLEX_I_ASSEMBLY_MODEL_OXPHOS_SYSTEM","SYSTEMATIC_NAME":"M39781","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4324","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4324_r98172","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Mitochondrial complex I assembly model OXPHOS system"}
{"STANDARD_NAME":"WP_NETRINUNC5B_SIGNALING_PATHWAY","SYSTEMATIC_NAME":"M39782","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4747","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4747_r108877","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Netrin-UNC5B signaling Pathway"}
{"STANDARD_NAME":"WP_CANONICAL_NFKB_PATHWAY","SYSTEMATIC_NAME":"M39783","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4562","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4562_r104110","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Canonical NF-KB pathway"}
{"STANDARD_NAME":"WP_SPHINGOLIPID_METABOLISM_INTEGRATED_PATHWAY","SYSTEMATIC_NAME":"M39784","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4726","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4726_r107643","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Sphingolipid Metabolism (integrated pathway)"}
{"STANDARD_NAME":"WP_OVERVIEW_OF_INTERFERONSMEDIATED_SIGNALING_PATHWAY","SYSTEMATIC_NAME":"M39785","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4558","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4558_r107928","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Overview of interferons-mediated signaling pathway"}
{"STANDARD_NAME":"WP_INTERACTIONS_BETWEEN_IMMUNE_CELLS_AND_MICRORNAS_IN_TUMOR_MICROENVIRONMENT","SYSTEMATIC_NAME":"M39786","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4559","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4559_r104316","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Interactions between immune cells and microRNAs in tumor microenvironment"}
{"STANDARD_NAME":"WP_22Q112_COPY_NUMBER_VARIATION_SYNDROME","SYSTEMATIC_NAME":"M39787","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4657","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4657_r113893","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"22q11.2 copy number variation syndrome"}
{"STANDARD_NAME":"WP_NEURAL_CREST_CELL_MIGRATION_IN_CANCER","SYSTEMATIC_NAME":"M39788","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4565","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4565_r108154","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Neural Crest Cell Migration in Cancer"}
{"STANDARD_NAME":"WP_OMEGA3OMEGA6_FA_SYNTHESIS","SYSTEMATIC_NAME":"M39789","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4723","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4723_r114096","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Omega-3/Omega-6 FA synthesis"}
{"STANDARD_NAME":"WP_CYSTEINE_AND_METHIONINE_CATABOLISM","SYSTEMATIC_NAME":"M39790","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4504","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4504_r108080","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Cysteine and methionine catabolism"}
{"STANDARD_NAME":"WP_THYROID_HORMONES_PRODUCTION_AND_THEIR_PERIPHERAL_DOWNSTREAM_SIGNALLING_EFFECTS","SYSTEMATIC_NAME":"M39791","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4746","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4746_r111628","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Thyroid hormones production and their peripheral downstream signalling effects"}
{"STANDARD_NAME":"WP_CELL_MIGRATION_AND_INVASION_THROUGH_P75NTR","SYSTEMATIC_NAME":"M39792","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4561","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4561_r107544","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Cell migration and invasion through p75NTR"}
{"STANDARD_NAME":"WP_CONTROL_OF_IMMUNE_TOLERANCE_BY_VASOACTIVE_INTESTINAL_PEPTIDE","SYSTEMATIC_NAME":"M39793","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4484","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4484_r107333","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Control of immune tolerance by vasoactive intestinal peptide"}
{"STANDARD_NAME":"WP_RELATIONSHIP_BETWEEN_INFLAMMATION_COX2_AND_EGFR","SYSTEMATIC_NAME":"M39794","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4483","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4483_r107927","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Relationship between inflammation, COX-2 and EGFR"}
{"STANDARD_NAME":"WP_PKCGAMMA_CALCIUM_SIGNALING_PATHWAY_IN_ATAXIA","SYSTEMATIC_NAME":"M39795","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4760","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4760_r108400","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"PKC-gamma calcium signaling pathway in ataxia"}
{"STANDARD_NAME":"WP_IL10_ANTIINFLAMMATORY_SIGNALING_PATHWAY","SYSTEMATIC_NAME":"M39796","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4495","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4495_r102692","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"IL-10 Anti-inflammatory Signaling Pathway "}
{"STANDARD_NAME":"WP_SELECTIVE_EXPRESSION_OF_CHEMOKINE_RECEPTORS_DURING_TCELL_POLARIZATION","SYSTEMATIC_NAME":"M39797","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4494","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4494_r103559","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Selective expression of chemokine receptors during T-cell polarization"}
{"STANDARD_NAME":"WP_NEURAL_CREST_CELL_MIGRATION_DURING_DEVELOPMENT","SYSTEMATIC_NAME":"M39798","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4564","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4564_r103712","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Neural Crest Cell Migration during Development"}
{"STANDARD_NAME":"WP_MOLYBDENUM_COFACTOR_MOCO_BIOSYNTHESIS","SYSTEMATIC_NAME":"M39799","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4507","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4507_r107173","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Molybdenum cofactor (Moco) biosynthesis"}
{"STANDARD_NAME":"WP_FBXL10_ENHANCEMENT_OF_MAPERK_SIGNALING_IN_DIFFUSE_LARGE_BCELL_LYMPHOMA","SYSTEMATIC_NAME":"M39800","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4553","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4553_r103606","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"FBXL10 enhancement of MAP/ERK signaling in diffuse large B-cell lymphoma"}
{"STANDARD_NAME":"WP_HEPATITIS_B_INFECTION","SYSTEMATIC_NAME":"M39801","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4666","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4666_r107486","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Hepatitis B infection"}
{"STANDARD_NAME":"WP_BILE_ACIDS_SYNTHESIS_AND_ENTEROHEPATIC_CIRCULATION","SYSTEMATIC_NAME":"M39802","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4389","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4389_r103474","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Bile Acids synthesis and enterohepatic circulation "}
{"STANDARD_NAME":"WP_SIGNAL_TRANSDUCTION_THROUGH_IL1R","SYSTEMATIC_NAME":"M39803","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4496","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4496_r102693","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Signal transduction through IL1R"}
{"STANDARD_NAME":"WP_FRAGILE_X_SYNDROME","SYSTEMATIC_NAME":"M39804","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4549","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4549_r108088","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Fragile X Syndrome "}
{"STANDARD_NAME":"WP_TRANSLATION_INHIBITORS_IN_CHRONICALLY_ACTIVATED_PDGFRA_CELLS","SYSTEMATIC_NAME":"M39805","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4566","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4566_r104315","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Translation inhibitors in chronically activated PDGFRA cells"}
{"STANDARD_NAME":"WP_NONALCOHOLIC_FATTY_LIVER_DISEASE","SYSTEMATIC_NAME":"M39806","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4396","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4396_r98945","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Nonalcoholic fatty liver disease"}
{"STANDARD_NAME":"WP_PLATELETMEDIATED_INTERACTIONS_WITH_VASCULAR_AND_CIRCULATING_CELLS","SYSTEMATIC_NAME":"M39807","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4462","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4462_r102079","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Platelet-mediated interactions with vascular and circulating cells"}
{"STANDARD_NAME":"WP_MFAP5_EFFECT_ON_PERMEABILITY_AND_MOTILITY_OF_ENDOTHELIAL_CELLS_VIA_CYTOSKELETON_REARRANGEMENT","SYSTEMATIC_NAME":"M39808","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4560","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4560_r108134","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"MFAP5 effect on permeability and motility of endothelial cells via cytoskeleton rearrangement"}
{"STANDARD_NAME":"WP_CEREBRAL_ORGANIC_ACIDURIAS_INCLUDING_DISEASES","SYSTEMATIC_NAME":"M39809","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4519","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4519_r108083","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Cerebral Organic Acidurias, including diseases"}
{"STANDARD_NAME":"WP_GAMMAGLUTAMYL_CYCLE_FOR_THE_BIOSYNTHESIS_AND_DEGRADATION_OF_GLUTATHIONE_INCLUDING_DISEASES","SYSTEMATIC_NAME":"M39810","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4518","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4518_r108661","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Gamma-Glutamyl Cycle for the biosynthesis and degradation of glutathione, including diseases"}
{"STANDARD_NAME":"WP_MELANOMA","SYSTEMATIC_NAME":"M39811","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4685","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4685_r112160","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Melanoma"}
{"STANDARD_NAME":"WP_ASPIRIN_AND_MIRNAS","SYSTEMATIC_NAME":"M40044","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4707","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4707_r113681","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"aspirin and miRNAs"}
{"STANDARD_NAME":"WP_PROXIMAL_TUBULE_TRANSPORT","SYSTEMATIC_NAME":"M39812","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4917","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4917_r110974","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Proximal tubule transport"}
{"STANDARD_NAME":"WP_GLYCOSYLATION_AND_RELATED_CONGENITAL_DEFECTS","SYSTEMATIC_NAME":"M39813","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4521","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4521_r108084","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Glycosylation and related congenital defects"}
{"STANDARD_NAME":"WP_GDNFRET_SIGNALLING_AXIS","SYSTEMATIC_NAME":"M39814","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4830","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4830_r109223","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"GDNF/RET signalling axis"}
{"STANDARD_NAME":"WP_CLASSICAL_PATHWAY_OF_STEROIDOGENESIS_WITH_GLUCOCORTICOID_AND_MINERALOCORTICOID_METABOLISM","SYSTEMATIC_NAME":"M39815","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4523","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4523_r113593","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Classical pathway of steroidogenesis with Glucocorticoid and Mineralocorticoid Metabolism"}
{"STANDARD_NAME":"WP_COMPUTATIONAL_MODEL_OF_AEROBIC_GLYCOLYSIS","SYSTEMATIC_NAME":"M39816","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4629","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4629_r107177","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Computational Model of Aerobic Glycolysis"}
{"STANDARD_NAME":"WP_THE_INFLUENCE_OF_LAMINOPATHIES_ON_WNT_SIGNALING","SYSTEMATIC_NAME":"M39817","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4844","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4844_r112235","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"The influence of laminopathies on Wnt signaling"}
{"STANDARD_NAME":"WP_IL18_SIGNALING_PATHWAY","SYSTEMATIC_NAME":"M39818","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4754","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4754_r115147","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"IL-18 signaling pathway"}
{"STANDARD_NAME":"WP_EICOSANOID_METABOLISM_VIA_CYTOCHROME_P450_MONOOXYGENASES_CYP_PATHWAY","SYSTEMATIC_NAME":"M39819","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4720","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4720_r107606","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Eicosanoid metabolism via Cytochrome P450 Mono-Oxygenases (CYP) pathway"}
{"STANDARD_NAME":"WP_AMINO_ACID_METABOLISM_PATHWAY_EXCERPT_HISTIDINE_CATABOLISM_EXTENSION","SYSTEMATIC_NAME":"M39820","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4661","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4661_r107181","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Amino Acid Metabolism Pathway Excerpt (Histidine catabolism extension)"}
{"STANDARD_NAME":"WP_HIPPOYAP_SIGNALING_PATHWAY","SYSTEMATIC_NAME":"M39821","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4537","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4537_r103300","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Hippo-Yap signaling pathway"}
{"STANDARD_NAME":"WP_SYNAPTIC_SIGNALING_PATHWAYS_ASSOCIATED_WITH_AUTISM_SPECTRUM_DISORDER","SYSTEMATIC_NAME":"M39822","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4539","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4539_r113659","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Synaptic signaling pathways associated with autism spectrum disorder"}
{"STANDARD_NAME":"WP_HIPPOMERLIN_SIGNALING_DYSREGULATION","SYSTEMATIC_NAME":"M39823","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4541","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4541_r103434","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Hippo-Merlin Signaling Dysregulation"}
{"STANDARD_NAME":"WP_REGULATORY_CIRCUITS_OF_THE_STAT3_SIGNALING_PATHWAY","SYSTEMATIC_NAME":"M39824","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4538","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4538_r104390","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Regulatory circuits of the STAT3 signaling pathway"}
{"STANDARD_NAME":"WP_TRANSCRIPTION_COFACTORS_SKI_AND_SKIL_PROTEIN_PARTNERS","SYSTEMATIC_NAME":"M39825","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4533","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4533_r103380","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Transcription co-factors SKI and SKIL protein partners"}
{"STANDARD_NAME":"WP_GENES_RELATED_TO_PRIMARY_CILIUM_DEVELOPMENT_BASED_ON_CRISPR","SYSTEMATIC_NAME":"M39826","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4536","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4536_r110928","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Genes related to primary cilium development (based on CRISPR)"}
{"STANDARD_NAME":"WP_INTRAFLAGELLAR_TRANSPORT_PROTEINS_BINDING_TO_DYNEIN","SYSTEMATIC_NAME":"M39827","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4532","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4532_r103287","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Intraflagellar transport proteins binding to dynein"}
{"STANDARD_NAME":"WP_ENVELOPE_PROTEINS_AND_THEIR_POTENTIAL_ROLES_IN_EDMD_PHYSIOPATHOLOGY","SYSTEMATIC_NAME":"M39828","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4535","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4535_r109210","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Envelope proteins and their potential roles in EDMD physiopathology"}
{"STANDARD_NAME":"WP_MECHANOREGULATION_AND_PATHOLOGY_OF_YAPTAZ_VIA_HIPPO_AND_NONHIPPO_MECHANISMS","SYSTEMATIC_NAME":"M39829","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4534","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4534_r103303","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Mechanoregulation and pathology of YAP/TAZ via Hippo and non-Hippo mechanisms"}
{"STANDARD_NAME":"WP_PATHWAYS_REGULATING_HIPPO_SIGNALING","SYSTEMATIC_NAME":"M39830","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4540","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4540_r103347","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Pathways Regulating Hippo Signaling"}
{"STANDARD_NAME":"WP_VITAMIN_DSENSITIVE_CALCIUM_SIGNALING_IN_DEPRESSION","SYSTEMATIC_NAME":"M39831","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4698","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4698_r110708","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Vitamin D-sensitive calcium signaling in depression"}
{"STANDARD_NAME":"WP_GLYCOSAMINOGLYCAN_DEGRADATION","SYSTEMATIC_NAME":"M39832","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4815","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4815_r110276","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Glycosaminoglycan degradation"}
{"STANDARD_NAME":"WP_UREA_CYCLE_AND_RELATED_DISEASES","SYSTEMATIC_NAME":"M39833","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4571","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4571_r108392","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Urea cycle and related diseases"}
{"STANDARD_NAME":"WP_SMALL_CELL_LUNG_CANCER","SYSTEMATIC_NAME":"M39834","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4658","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4658_r108148","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Small cell lung cancer"}
{"STANDARD_NAME":"WP_JOUBERT_SYNDROME","SYSTEMATIC_NAME":"M39835","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4656","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4656_r105130","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Joubert Syndrome"}
{"STANDARD_NAME":"WP_KETOGENESIS_AND_KETOLYSIS","SYSTEMATIC_NAME":"M39836","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4742","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4742_r108452","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Ketogenesis and Ketolysis"}
{"STANDARD_NAME":"WP_CYTOSOLIC_DNASENSING_PATHWAY","SYSTEMATIC_NAME":"M39837","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4655","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4655_r105163","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Cytosolic DNA-sensing pathway"}
{"STANDARD_NAME":"WP_FGFR3_SIGNALLING_IN_CHONDROCYTE_PROLIFERATION_AND_TERMINAL_DIFFERENTIATION","SYSTEMATIC_NAME":"M39838","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4767","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4767_r112165","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"FGFR3 signalling in chondrocyte proliferation and terminal differentiation"}
{"STANDARD_NAME":"WP_EGFR_TYROSINE_KINASE_INHIBITOR_RESISTANCE","SYSTEMATIC_NAME":"M39839","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4806","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4806_r113761","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"EGFR Tyrosine Kinase Inhibitor Resistance"}
{"STANDARD_NAME":"WP_CANCER_IMMUNOTHERAPY_BY_CTLA4_BLOCKADE","SYSTEMATIC_NAME":"M39840","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4582","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4582_r108125","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Cancer immunotherapy by CTLA4 blockade"}
{"STANDARD_NAME":"WP_BIOMARKERS_FOR_PYRIMIDINE_METABOLISM_DISORDERS","SYSTEMATIC_NAME":"M39841","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4584","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4584_r104645","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Biomarkers for pyrimidine metabolism disorders"}
{"STANDARD_NAME":"WP_BIOMARKERS_FOR_UREA_CYCLE_DISORDERS","SYSTEMATIC_NAME":"M39842","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4583","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4583_r106803","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Biomarkers for urea cycle disorders"}
{"STANDARD_NAME":"WP_CANCER_IMMUNOTHERAPY_BY_PD1_BLOCKADE","SYSTEMATIC_NAME":"M39843","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4585","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4585_r108119","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Cancer immunotherapy by PD-1 blockade"}
{"STANDARD_NAME":"WP_METABOLISM_OF_ALPHALINOLENIC_ACID","SYSTEMATIC_NAME":"M39844","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4586","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4586_r106804","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Metabolism of alpha-linolenic acid"}
{"STANDARD_NAME":"WP_RENIN_ANGIOTENSIN_ALDOSTERONE_SYSTEM_RAAS","SYSTEMATIC_NAME":"M39845","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4756","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4756_r108364","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Renin Angiotensin Aldosterone System (RAAS)"}
{"STANDARD_NAME":"WP_PATHWAYS_OF_NUCLEIC_ACID_METABOLISM_AND_INNATE_IMMUNE_SENSING","SYSTEMATIC_NAME":"M39846","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4705","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4705_r110737","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Pathways of nucleic acid metabolism and innate immune sensing"}
{"STANDARD_NAME":"WP_NEPHROGENESIS","SYSTEMATIC_NAME":"M40045","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP5052","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP5052_r115258","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Nephrogenesis"}
{"STANDARD_NAME":"WP_NUCLEOTIDE_EXCISION_REPAIR","SYSTEMATIC_NAME":"M39847","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4753","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4753_r108596","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Nucleotide Excision Repair"}
{"STANDARD_NAME":"WP_CHOLESTEROL_BIOSYNTHESIS_WITH_SKELETAL_DYSPLASIAS","SYSTEMATIC_NAME":"M39848","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4804","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4804_r113891","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Cholesterol Biosynthesis with Skeletal Dysplasias"}
{"STANDARD_NAME":"WP_MAJOR_RECEPTORS_TARGETED_BY_EPINEPHRINE_AND_NOREPINEPHRINE","SYSTEMATIC_NAME":"M39849","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4589","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4589_r105272","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Major receptors targeted by epinephrine and norepinephrine"}
{"STANDARD_NAME":"WP_PHOSPHOINOSITIDES_METABOLISM","SYSTEMATIC_NAME":"M40046","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4971","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4971_r112223","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Phosphoinositides metabolism"}
{"STANDARD_NAME":"WP_UREA_CYCLE_AND_ASSOCIATED_PATHWAYS","SYSTEMATIC_NAME":"M39850","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4595","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4595_r114567","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Urea cycle and associated pathways"}
{"STANDARD_NAME":"WP_CAMKK2_PATHWAY","SYSTEMATIC_NAME":"M40047","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4874","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4874_r113833","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"CAMKK2 Pathway"}
{"STANDARD_NAME":"WP_EICOSANOID_METABOLISM_VIA_CYCLO_OXYGENASES_COX","SYSTEMATIC_NAME":"M39851","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4719","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4719_r114095","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Eicosanoid metabolism via Cyclo Oxygenases (COX)"}
{"STANDARD_NAME":"WP_OSTEOBLAST_DIFFERENTIATION","SYSTEMATIC_NAME":"M39852","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4787","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4787_r112157","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Osteoblast differentiation"}
{"STANDARD_NAME":"WP_CHOLESTEROL_METABOLISM_INCLUDES_BOTH_BLOCH_AND_KANDUTSCHRUSSELL_PATHWAYS","SYSTEMATIC_NAME":"M39853","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4718","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4718_r107595","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Cholesterol metabolism (includes both Bloch and Kandutsch-Russell pathways)"}
{"STANDARD_NAME":"WP_MBDNF_AND_PROBDNF_REGULATION_OF_GABA_NEUROTRANSMISSION","SYSTEMATIC_NAME":"M39854","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4829","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4829_r109219","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"mBDNF and proBDNF regulation of GABA neurotransmission"}
{"STANDARD_NAME":"WP_PURINERGIC_SIGNALING","SYSTEMATIC_NAME":"M39855","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4900","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4900_r110333","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Purinergic signaling"}
{"STANDARD_NAME":"WP_GENES_INVOLVED_IN_MALE_INFERTILITY","SYSTEMATIC_NAME":"M39856","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4673","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4673_r106810","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Genes involved in male infertility"}
{"STANDARD_NAME":"WP_HEAD_AND_NECK_SQUAMOUS_CELL_CARCINOMA","SYSTEMATIC_NAME":"M39857","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4674","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4674_r112164","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Head and Neck Squamous Cell Carcinoma"}
{"STANDARD_NAME":"WP_EICOSANOID_METABOLISM_VIA_LIPO_OXYGENASES_LOX","SYSTEMATIC_NAME":"M39858","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4721","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4721_r107598","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Eicosanoid metabolism via Lipo Oxygenases (LOX)"}
{"STANDARD_NAME":"WP_TYPE_I_INTERFERON_INDUCTION_AND_SIGNALING_DURING_SARSCOV2_INFECTION","SYSTEMATIC_NAME":"M39859","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4868","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4868_r111110","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Type I Interferon Induction and Signaling During SARS-CoV-2 Infection"}
{"STANDARD_NAME":"WP_3Q29_COPY_NUMBER_VARIATION_SYNDROME","SYSTEMATIC_NAME":"M39860","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4906","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4906_r110951","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"3q29 copy number variation syndrome"}
{"STANDARD_NAME":"WP_BASE_EXCISION_REPAIR","SYSTEMATIC_NAME":"M39861","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4752","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4752_r110588","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Base Excision Repair"}
{"STANDARD_NAME":"WP_FGF23_SIGNALLING_IN_HYPOPHOSPHATEMIC_RICKETS_AND_RELATED_DISORDERS","SYSTEMATIC_NAME":"M39862","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4790","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4790_r111721","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"FGF23 signalling in Hypophosphatemic rickets and related disorders"}
{"STANDARD_NAME":"WP_SPHINGOLIPID_METABOLISM_GENERAL_OVERVIEW","SYSTEMATIC_NAME":"M39863","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4725","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4725_r115610","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Sphingolipid Metabolism (general overview)"}
{"STANDARD_NAME":"WP_NEPHROTIC_SYNDROME","SYSTEMATIC_NAME":"M39864","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4758","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4758_r108284","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Nephrotic syndrome"}
{"STANDARD_NAME":"WP_PROTEOGLYCAN_BIOSYNTHESIS","SYSTEMATIC_NAME":"M39865","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4784","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4784_r111633","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Proteoglycan biosynthesis"}
{"STANDARD_NAME":"WP_GASTRIN_SIGNALING_PATHWAY","SYSTEMATIC_NAME":"M39866","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4659","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4659_r107967","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Gastrin Signaling Pathway"}
{"STANDARD_NAME":"WP_DEVELOPMENT_OF_URETERIC_COLLECTION_SYSTEM","SYSTEMATIC_NAME":"M40048","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP5053","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP5053_r115549","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Development of ureteric collection system"}
{"STANDARD_NAME":"WP_SARSCOV2_AND_ANGIOTENSINCONVERTING_ENZYME_2_RECEPTOR_MOLECULAR_MECHANISMS","SYSTEMATIC_NAME":"M39867","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4883","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4883_r115281","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"SARS-CoV-2 and Angiotensin-converting enzyme 2 receptor: molecular mechanisms"}
{"STANDARD_NAME":"WP_COVID19_THROMBOSIS_AND_ANTICOAGULATION","SYSTEMATIC_NAME":"M39868","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4927","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4927_r111155","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"COVID-19, thrombosis and anticoagulation"}
{"STANDARD_NAME":"WP_SOMITOGENESIS_IN_THE_CONTEXT_OF_SPONDYLOCOSTAL_DYSOSTOSIS","SYSTEMATIC_NAME":"M39869","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4785","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4785_r111735","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Somitogenesis in the context of spondylocostal dysostosis"}
{"STANDARD_NAME":"WP_TYPE_I_COLLAGEN_SYNTHESIS_IN_THE_CONTEXT_OF_OSTEOGENESIS_IMPERFECTA","SYSTEMATIC_NAME":"M39870","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4786","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4786_r110981","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Type I collagen synthesis in the context of Osteogenesis imperfecta"}
{"STANDARD_NAME":"WP_AUTOSOMAL_RECESSIVE_OSTEOPETROSIS_PATHWAYS","SYSTEMATIC_NAME":"M39871","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4788","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4788_r111730","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Autosomal recessive Osteopetrosis pathways"}
{"STANDARD_NAME":"WP_MED_AND_PSEUDOACHONDROPLASIA_GENES","SYSTEMATIC_NAME":"M39872","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4789","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4789_r110638","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"MED and Pseudoachondroplasia genes"}
{"STANDARD_NAME":"WP_PURINE_METABOLISM","SYSTEMATIC_NAME":"M39873","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4792","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4792_r109348","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Purine metabolism"}
{"STANDARD_NAME":"WP_ACTIVATION_OF_NLRP3_INFLAMMASOME_BY_SARSCOV2","SYSTEMATIC_NAME":"M39874","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4876","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4876_r110321","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Activation of NLRP3 Inflammasome by SARS-CoV-2"}
{"STANDARD_NAME":"WP_DISRUPTION_OF_POSTSYNAPTIC_SIGNALLING_BY_CNV","SYSTEMATIC_NAME":"M39875","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4875","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4875_r110312","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Disruption of postsynaptic signalling by CNV"}
{"STANDARD_NAME":"WP_PATHOGENESIS_OF_SARSCOV2_MEDIATED_BY_NSP9NSP10_COMPLEX","SYSTEMATIC_NAME":"M39876","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4884","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4884_r111618","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Pathogenesis of SARS-CoV-2 Mediated by nsp9-nsp10 Complex"}
{"STANDARD_NAME":"WP_THE_OVERLAP_BETWEEN_SIGNAL_TRANSDUCTION_PATHWAYS_THAT_CONTRIBUTE_TO_A_RANGE_OF_LMNA_LAMINOPATHIES","SYSTEMATIC_NAME":"M39877","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4879","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4879_r110990","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"The Overlap Between Signal Transduction Pathways that Contribute to a Range of LMNA Laminopathies"}
{"STANDARD_NAME":"WP_UNFOLDED_PROTEIN_RESPONSE","SYSTEMATIC_NAME":"M39878","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4925","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4925_r112845","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Unfolded protein response"}
{"STANDARD_NAME":"WP_15Q112_COPY_NUMBER_VARIATION_SYNDROME","SYSTEMATIC_NAME":"M39879","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4940","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4940_r111081","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"15q11.2 copy number variation syndrome"}
{"STANDARD_NAME":"WP_CILIOPATHIES","SYSTEMATIC_NAME":"M39880","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4803","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4803_r110008","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Ciliopathies"}
{"STANDARD_NAME":"WP_MITOCHONDRIAL_CIV_ASSEMBLY","SYSTEMATIC_NAME":"M39881","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4922","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4922_r110390","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Mitochondrial CIV Assembly"}
{"STANDARD_NAME":"WP_MAPK_PATHWAY_IN_CONGENITAL_THYROID_CANCER","SYSTEMATIC_NAME":"M39882","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4928","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4928_r111017","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"MAPK pathway in congenital thyroid cancer"}
{"STANDARD_NAME":"WP_15Q133_COPY_NUMBER_VARIATION_SYNDROME","SYSTEMATIC_NAME":"M39883","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4942","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4942_r111500","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"15q13.3 copy number variation syndrome"}
{"STANDARD_NAME":"WP_ENDOCHONDRAL_OSSIFICATION_WITH_SKELETAL_DYSPLASIAS","SYSTEMATIC_NAME":"M39884","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4808","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4808_r109123","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Endochondral Ossification with Skeletal Dysplasias"}
{"STANDARD_NAME":"WP_CELLULAR_PROTEOSTASIS","SYSTEMATIC_NAME":"M39885","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4918","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4918_r110411","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Cellular Proteostasis"}
{"STANDARD_NAME":"WP_TGFBETA_RECEPTOR_SIGNALLING_IN_SKELETAL_DYSPLASIAS","SYSTEMATIC_NAME":"M39886","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4816","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4816_r111739","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"TGF-beta Receptor Signalling in Skeletal Dysplasias"}
{"STANDARD_NAME":"WP_SOMATIC_SEX_DETERMINATION","SYSTEMATIC_NAME":"M39887","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4814","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4814_r110053","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Somatic Sex determination"}
{"STANDARD_NAME":"WP_COVID19_ADVERSE_OUTCOME_PATHWAY","SYSTEMATIC_NAME":"M39888","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4891","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4891_r111616","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"COVID-19 Adverse Outcome Pathway"}
{"STANDARD_NAME":"WP_LDLRAD4_AND_WHAT_WE_KNOW_ABOUT_IT","SYSTEMATIC_NAME":"M39889","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4904","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4904_r114084","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"LDLRAD4 and what we know about it"}
{"STANDARD_NAME":"WP_1Q211_COPY_NUMBER_VARIATION_SYNDROME","SYSTEMATIC_NAME":"M39890","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4905","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4905_r113763","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"1q21.1 copy number variation syndrome"}
{"STANDARD_NAME":"WP_GENES_CONTROLLING_NEPHROGENESIS","SYSTEMATIC_NAME":"M39891","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4823","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4823_r115204","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Genes controlling nephrogenesis"}
{"STANDARD_NAME":"WP_MITOCHONDRIAL_CIII_ASSEMBLY","SYSTEMATIC_NAME":"M39892","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4921","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4921_r110420","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Mitochondrial CIII assembly"}
{"STANDARD_NAME":"WP_DNA_REPAIR_PATHWAYS_FULL_NETWORK","SYSTEMATIC_NAME":"M40049","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4946","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4946_r112230","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"DNA Repair Pathways Full Network"}
{"STANDARD_NAME":"WP_REGUCALCIN_IN_PROXIMAL_TUBULE_EPITHELIAL_KIDNEY_CELLS","SYSTEMATIC_NAME":"M39893","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4838","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4838_r110282","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Regucalcin in proximal tubule epithelial kidney cells"}
{"STANDARD_NAME":"WP_NO_METABOLISM_IN_CYSTIC_FIBROSIS","SYSTEMATIC_NAME":"M39894","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4947","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4947_r111131","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"NO metabolism in cystic fibrosis"}
{"STANDARD_NAME":"WP_NEUROINFLAMMATION","SYSTEMATIC_NAME":"M39895","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4919","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4919_r111814","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Neuroinflammation"}
{"STANDARD_NAME":"WP_MAMMALIAN_DISORDER_OF_SEXUAL_DEVELOPMENT","SYSTEMATIC_NAME":"M39896","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4842","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4842_r110324","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Mammalian disorder of sexual development"}
{"STANDARD_NAME":"WP_SARSCOV2_AND_COVID19_PATHWAY","SYSTEMATIC_NAME":"M40050","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4846","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4846_r115453","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"SARS-CoV-2 and COVID-19 Pathway"}
{"STANDARD_NAME":"WP_SARS_CORONAVIRUS_AND_INNATE_IMMUNITY","SYSTEMATIC_NAME":"M39897","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4912","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4912_r113956","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"SARS coronavirus and innate immunity"}
{"STANDARD_NAME":"WP_MITOCHONDRIAL_CII_ASSEMBLY","SYSTEMATIC_NAME":"M39898","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4920","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4920_r110413","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Mitochondrial CII Assembly"}
{"STANDARD_NAME":"WP_INTRACELLULAR_TRAFFICKING_PROTEINS_INVOLVED_IN_CMT_NEUROPATHY","SYSTEMATIC_NAME":"M39899","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4856","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4856_r113654","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Intracellular trafficking proteins involved in CMT neuropathy"}
{"STANDARD_NAME":"WP_HIJACK_OF_UBIQUITINATION_BY_SARSCOV2","SYSTEMATIC_NAME":"M39900","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4860","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4860_r111111","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Hijack of Ubiquitination by SARS-CoV-2"}
{"STANDARD_NAME":"WP_ENDOPLASMIC_RETICULUM_STRESS_RESPONSE_IN_CORONAVIRUS_INFECTION","SYSTEMATIC_NAME":"M39901","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4861","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4861_r114110","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Endoplasmic reticulum stress response in Coronavirus infection"}
{"STANDARD_NAME":"WP_HOSTPATHOGEN_INTERACTION_OF_HUMAN_CORONA_VIRUSES_APOPTOSIS","SYSTEMATIC_NAME":"M39902","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4864","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4864_r113801","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Host-pathogen interaction of human corona viruses - apoptosis"}
{"STANDARD_NAME":"WP_HOSTPATHOGEN_INTERACTION_OF_HUMAN_CORONA_VIRUSES_AUTOPHAGY","SYSTEMATIC_NAME":"M39903","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4863","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4863_r112163","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Host-pathogen interaction of human corona viruses - autophagy"}
{"STANDARD_NAME":"WP_AUTOPHAGY","SYSTEMATIC_NAME":"M39904","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4923","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4923_r110416","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Autophagy"}
{"STANDARD_NAME":"WP_RAS_AND_BRADYKININ_PATHWAYS_IN_COVID19","SYSTEMATIC_NAME":"M40051","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4969","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4969_r115143","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"RAS and Bradykinin pathways in COVID-19"}
{"STANDARD_NAME":"WP_KISSPEPTINKISSPEPTIN_RECEPTOR_SYSTEM_IN_THE_OVARY","SYSTEMATIC_NAME":"M39905","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4871","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4871_r110295","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Kisspeptin/Kisspeptin Receptor System in the Ovary"}
{"STANDARD_NAME":"WP_PEROXIREDOXIN_2_INDUCED_OVARIAN_FAILURE","SYSTEMATIC_NAME":"M39906","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4873","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4873_r110299","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Peroxiredoxin 2 induced ovarian failure"}
{"STANDARD_NAME":"WP_MAP3K1_ROLE_IN_PROMOTING_AND_BLOCKING_GONADAL_DETERMINATION","SYSTEMATIC_NAME":"M39907","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4872","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4872_r110081","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"MAP3K1 role in promoting and blocking gonadal determination"}
{"STANDARD_NAME":"WP_HOSTPATHOGEN_INTERACTION_OF_HUMAN_CORONA_VIRUSES_MAPK_SIGNALING","SYSTEMATIC_NAME":"M39908","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4877","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4877_r114104","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Host-pathogen interaction of human corona viruses - MAPK signaling"}
{"STANDARD_NAME":"WP_HOSTPATHOGEN_INTERACTION_OF_HUMAN_CORONA_VIRUSES_INTERFERON_INDUCTION","SYSTEMATIC_NAME":"M39909","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4880","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4880_r114076","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Host-pathogen interaction of human corona viruses - Interferon induction"}
{"STANDARD_NAME":"WP_7Q1123_COPY_NUMBER_VARIATION_SYNDROME","SYSTEMATIC_NAME":"M40052","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4932","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4932_r113696","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"7q11.23 copy number variation syndrome"}
{"STANDARD_NAME":"WP_GLYCOLYSIS_IN_SENESCENCE","SYSTEMATIC_NAME":"M40053","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP5049","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP5049_r115339","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Glycolysis in senescence"}
{"STANDARD_NAME":"WP_7OXOC_AND_7BETAHC_PATHWAYS","SYSTEMATIC_NAME":"M40054","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP5064","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP5064_r115617","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"7-oxo-C and 7beta-HC pathways"}
{"STANDARD_NAME":"WP_KYNURENINE_PATHWAY_AND_LINKS_TO_CELLULAR_SENESCENCE","SYSTEMATIC_NAME":"M40055","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP5044","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP5044_r115411","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Kynurenine Pathway and links to Cellular Senescence"}
{"STANDARD_NAME":"WP_16P112_DISTAL_DELETION_SYNDROME","SYSTEMATIC_NAME":"M40056","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4950","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4950_r112224","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"16p11.2 distal deletion syndrome"}
{"STANDARD_NAME":"WP_16P112_PROXIMAL_DELETION_SYNDROME","SYSTEMATIC_NAME":"M40057","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4949","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4949_r113592","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"16p11.2 proximal deletion syndrome"}
{"STANDARD_NAME":"WP_TCA_CYCLE_IN_SENESCENCE","SYSTEMATIC_NAME":"M40058","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP5050","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP5050_r115340","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"TCA cycle in senescence"}
{"STANDARD_NAME":"WP_NAD_METABOLISM_IN_ONCOGENEINDUCED_SENESCENCE_AND_MITOCHONDRIAL_DYSFUNCTIONASSOCIATED_SENESCENCE","SYSTEMATIC_NAME":"M40059","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP5046","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP5046_r115410","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"NAD Metabolism in Oncogene-Induced Senescence and Mitochondrial Dysfunction-Associated Senescence"}
{"STANDARD_NAME":"WP_AIRWAY_SMOOTH_MUSCLE_CELL_CONTRACTION","SYSTEMATIC_NAME":"M40060","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4962","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4962_r115210","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Airway smooth muscle cell contraction"}
{"STANDARD_NAME":"WP_STING_PATHWAY_IN_KAWASAKILIKE_DISEASE_AND_COVID19","SYSTEMATIC_NAME":"M40061","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4961","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4961_r115144","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"STING pathway in Kawasaki-like disease and COVID-19"}
{"STANDARD_NAME":"WP_P53_TRANSCRIPTIONAL_GENE_NETWORK","SYSTEMATIC_NAME":"M40062","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4963","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4963_r112233","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"p53 transcriptional gene network"}
{"STANDARD_NAME":"WP_FLUOROACETIC_ACID_TOXICITY","SYSTEMATIC_NAME":"M40063","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP4966","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP4966_r112070","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Fluoroacetic acid toxicity"}
{"STANDARD_NAME":"WP_BIOTIN_METABOLISM_INCLUDING_IEMS","SYSTEMATIC_NAME":"M40064","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP5031","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP5031_r115139","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Biotin Metabolism (including IEMs)"}
{"STANDARD_NAME":"WP_RIBOFLAVIN_AND_COQ_DISORDERS","SYSTEMATIC_NAME":"M40065","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP5037","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP5037_r115140","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"Riboflavin and CoQ disorders"}
{"STANDARD_NAME":"WP_SARSCOV2_MITOCHONDRIAL_INTERACTIONS","SYSTEMATIC_NAME":"M40066","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP5038","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP5038_r115236","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"SARS-CoV-2 mitochondrial interactions"}
{"STANDARD_NAME":"WP_SARSCOV2_INNATE_IMMUNITY_EVASION_AND_CELLSPECIFIC_IMMUNE_RESPONSE","SYSTEMATIC_NAME":"M40067","ORGANISM":"Homo sapiens","EXACT_SOURCE":"WP5039","EXTERNAL_DETAILS_URL":"http://www.wikipathways.org/instance/WP5039_r115234","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C2","SUB_CATEGORY_CODE":"CP:WIKIPATHWAYS","CONTRIBUTOR":"WikiPathways","CONTRIBUTOR_ORG":"WikiPathways","DESCRIPTION_BRIEF":"SARS-CoV-2 Innate Immunity Evasion and Cell-specific immune response"}
{"STANDARD_NAME":"MIR153_5P","SYSTEMATIC_NAME":"M30412","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-153-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-153-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR8485","SYSTEMATIC_NAME":"M30413","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-8485","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-8485 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3662","SYSTEMATIC_NAME":"M30414","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3662","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3662 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR607","SYSTEMATIC_NAME":"M30415","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-607","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-607 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR616_5P","SYSTEMATIC_NAME":"M30416","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-616-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-616-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR371B_5P","SYSTEMATIC_NAME":"M30417","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-371b-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-371b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR373_5P","SYSTEMATIC_NAME":"M30418","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-373-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-373-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6867_5P","SYSTEMATIC_NAME":"M30419","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6867-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6867-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR12136","SYSTEMATIC_NAME":"M30420","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-12136","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-12136 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548AJ_3P_MIR548X_3P","SYSTEMATIC_NAME":"M30421","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548aj-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548aj-3p, hsa-miR-548x-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3646","SYSTEMATIC_NAME":"M30422","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3646","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3646 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1277_5P","SYSTEMATIC_NAME":"M30423","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1277-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1277-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR651_3P","SYSTEMATIC_NAME":"M30424","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-651-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-651-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR335_3P","SYSTEMATIC_NAME":"M30425","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-335-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-335-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR520D_5P","SYSTEMATIC_NAME":"M30426","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-520d-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-520d-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR524_5P","SYSTEMATIC_NAME":"M30427","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-524-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-524-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548AE_3P_MIR548AQ_3P","SYSTEMATIC_NAME":"M30428","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548ae-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548ae-3p, hsa-miR-548aq-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548AH_3P_MIR548AM_3P","SYSTEMATIC_NAME":"M30429","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548ah-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548ah-3p, hsa-miR-548am-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548J_3P","SYSTEMATIC_NAME":"M30430","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548j-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548j-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3658","SYSTEMATIC_NAME":"M30431","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3658","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3658 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR570_3P","SYSTEMATIC_NAME":"M30432","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-570-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-570-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5688","SYSTEMATIC_NAME":"M30433","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5688","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5688 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4795_3P","SYSTEMATIC_NAME":"M30434","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4795-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4795-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548E_5P","SYSTEMATIC_NAME":"M30435","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548e-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548e-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5696","SYSTEMATIC_NAME":"M30436","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5696","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5696 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR340_5P","SYSTEMATIC_NAME":"M30437","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-340-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-340-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"LET_7A_3P","SYSTEMATIC_NAME":"M30438","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-let-7a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-let-7a-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4262","SYSTEMATIC_NAME":"M30439","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4262","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4262 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR30B_5P_MIR30C_5P","SYSTEMATIC_NAME":"M30440","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-30b-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-30b-5p, hsa-miR-30c-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR30D_5P","SYSTEMATIC_NAME":"M30441","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-30d-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-30d-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR30E_5P","SYSTEMATIC_NAME":"M30442","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-30e-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-30e-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR98_3P","SYSTEMATIC_NAME":"M30443","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-98-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-98-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR30A_5P","SYSTEMATIC_NAME":"M30444","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-30a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-30a-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"LET_7F_1_3P","SYSTEMATIC_NAME":"M30445","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-let-7f-1-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-let-7f-1-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"LET_7B_3P","SYSTEMATIC_NAME":"M30446","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-let-7b-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-let-7b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR495_3P","SYSTEMATIC_NAME":"M30447","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-495-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-495-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5582_3P","SYSTEMATIC_NAME":"M30448","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5582-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5582-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4729","SYSTEMATIC_NAME":"M30449","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4729","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4729 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4659A_3P_MIR4659B_3P","SYSTEMATIC_NAME":"M30450","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4659a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4659a-3p, hsa-miR-4659b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7_1_3P","SYSTEMATIC_NAME":"M30451","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7-1-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7-1-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7_2_3P","SYSTEMATIC_NAME":"M30452","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7-2-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7-2-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3671","SYSTEMATIC_NAME":"M30453","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3671","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3671 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4698","SYSTEMATIC_NAME":"M30454","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4698","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4698 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR95_5P","SYSTEMATIC_NAME":"M30455","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-95-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-95-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1468_3P","SYSTEMATIC_NAME":"M30456","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1468-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1468-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548N","SYSTEMATIC_NAME":"M30457","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548n","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548n in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4328","SYSTEMATIC_NAME":"M30458","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4328","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4328 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548D_3P","SYSTEMATIC_NAME":"M30459","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548d-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548d-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548H_3P_MIR548Z","SYSTEMATIC_NAME":"M30460","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548h-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548h-3p, hsa-miR-548z in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR302C_5P","SYSTEMATIC_NAME":"M30461","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-302c-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-302c-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548BB_3P","SYSTEMATIC_NAME":"M30462","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548bb-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548bb-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548AC","SYSTEMATIC_NAME":"M30463","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548ac","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548ac in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548P","SYSTEMATIC_NAME":"M30464","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR23A_3P_MIR23B_3P","SYSTEMATIC_NAME":"M30465","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-23a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-23a-3p, hsa-miR-23b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR23C","SYSTEMATIC_NAME":"M30466","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-23c","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-23c in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6809_3P","SYSTEMATIC_NAME":"M30467","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6809-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6809-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR559","SYSTEMATIC_NAME":"M30468","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-559","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-559 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3121_3P","SYSTEMATIC_NAME":"M30469","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3121-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3121-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1297","SYSTEMATIC_NAME":"M30470","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1297","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1297 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548AR_3P","SYSTEMATIC_NAME":"M30471","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548ar-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548ar-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR10527_5P","SYSTEMATIC_NAME":"M30472","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-10527-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-10527-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3529_3P","SYSTEMATIC_NAME":"M30473","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3529-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3529-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4728_5P","SYSTEMATIC_NAME":"M30474","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4728-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4728-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR19A_3P","SYSTEMATIC_NAME":"M30475","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-19a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-19a-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548AW","SYSTEMATIC_NAME":"M30476","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548aw","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548aw in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR106B_5P","SYSTEMATIC_NAME":"M30477","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-106b-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-106b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR19B_3P","SYSTEMATIC_NAME":"M30478","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-19b-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-19b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548AA_MIR548AP_3P_MIR548T_3P","SYSTEMATIC_NAME":"M30479","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548aa","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548aa, hsa-miR-548ap-3p, hsa-miR-548t-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR20A_5P","SYSTEMATIC_NAME":"M30480","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-20a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-20a-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR9983_3P","SYSTEMATIC_NAME":"M30481","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-9983-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-9983-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR506_3P","SYSTEMATIC_NAME":"M30482","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-506-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-506-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR579_3P","SYSTEMATIC_NAME":"M30483","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-579-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-579-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR124_3P","SYSTEMATIC_NAME":"M30484","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-124-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-124-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3680_3P","SYSTEMATIC_NAME":"M30485","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3680-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3680-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR664B_3P","SYSTEMATIC_NAME":"M30486","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-664b-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-664b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR186_5P","SYSTEMATIC_NAME":"M30487","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-186-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-186-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR181A_5P_MIR181B_5P","SYSTEMATIC_NAME":"M30488","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-181a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-181a-5p, hsa-miR-181b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR181D_5P","SYSTEMATIC_NAME":"M30489","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-181d-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-181d-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR181C_5P","SYSTEMATIC_NAME":"M30490","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-181c-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-181c-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4719","SYSTEMATIC_NAME":"M30491","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4719","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4719 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4753_3P","SYSTEMATIC_NAME":"M30492","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4753-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4753-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4666A_3P","SYSTEMATIC_NAME":"M30493","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4666a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4666a-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR126_5P","SYSTEMATIC_NAME":"M30494","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-126-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-126-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548Y","SYSTEMATIC_NAME":"M30495","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548y","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548y in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4668_5P","SYSTEMATIC_NAME":"M30496","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4668-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4668-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR551B_5P","SYSTEMATIC_NAME":"M30497","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-551b-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-551b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548BB_5P","SYSTEMATIC_NAME":"M30498","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548bb-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548bb-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548AR_5P","SYSTEMATIC_NAME":"M30499","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548ar-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548ar-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"LET_7C_3P","SYSTEMATIC_NAME":"M30500","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-let-7c-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-let-7c-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548AD_5P_MIR548AE_5P_MIR548AY_5P_MIR548B_5P_MIR548D_5P","SYSTEMATIC_NAME":"M30501","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548ad-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548ad-5p, hsa-miR-548ae-5p, hsa-miR-548ay-5p, hsa-miR-548b-5p, hsa-miR-548d-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548AK_MIR548AM_5P_MIR548C_5P_MIR548H_5P_MIR548O_5P_MIR548AU_5P","SYSTEMATIC_NAME":"M30502","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548ak","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548ak, hsa-miR-548am-5p, hsa-miR-548c-5p, hsa-miR-548h-5p, hsa-miR-548o-5p, hsa-miR-548au-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548O_5P_MIR548W","SYSTEMATIC_NAME":"M30503","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548o-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548o-5p, hsa-miR-548w in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR144_3P","SYSTEMATIC_NAME":"M30504","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-144-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-144-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548AB","SYSTEMATIC_NAME":"M30505","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548ab","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548ab in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548AS_5P","SYSTEMATIC_NAME":"M30506","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548as-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548as-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1250_3P","SYSTEMATIC_NAME":"M30507","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1250-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1250-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548A_5P","SYSTEMATIC_NAME":"M30508","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548a-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548AQ_5P","SYSTEMATIC_NAME":"M30509","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548aq-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548aq-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR513A_3P_MIR513C_3P","SYSTEMATIC_NAME":"M30510","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-513a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-513a-3p, hsa-miR-513c-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548I","SYSTEMATIC_NAME":"M30511","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548i","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548i in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548AP_5P_MIR548J_5P","SYSTEMATIC_NAME":"M30512","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548ap-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548ap-5p, hsa-miR-548j-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4482_3P","SYSTEMATIC_NAME":"M30513","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4482-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4482-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR106A_5P","SYSTEMATIC_NAME":"M30514","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-106a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-106a-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6785_5P","SYSTEMATIC_NAME":"M30515","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6785-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6785-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR17_5P","SYSTEMATIC_NAME":"M30516","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-17-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-17-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR561_3P","SYSTEMATIC_NAME":"M30517","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-561-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-561-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR627_3P","SYSTEMATIC_NAME":"M30518","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-627-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-627-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR429","SYSTEMATIC_NAME":"M30519","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-429","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-429 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR182_5P","SYSTEMATIC_NAME":"M30520","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-182-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-182-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1305","SYSTEMATIC_NAME":"M30521","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1305","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1305 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR20B_5P","SYSTEMATIC_NAME":"M30522","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-20b-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-20b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR27A_3P_MIR27B_3P","SYSTEMATIC_NAME":"M30523","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-27a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-27a-3p, hsa-miR-27b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR93_5P","SYSTEMATIC_NAME":"M30524","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-93-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-93-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR526B_3P","SYSTEMATIC_NAME":"M30525","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-526b-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-526b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR519D_3P","SYSTEMATIC_NAME":"M30526","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-519d-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-519d-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR9985","SYSTEMATIC_NAME":"M30527","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-9985","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-9985 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3133","SYSTEMATIC_NAME":"M30528","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3133","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3133 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR450B_5P","SYSTEMATIC_NAME":"M30529","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-450b-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-450b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548F_3P","SYSTEMATIC_NAME":"M30530","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548f-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548f-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3143","SYSTEMATIC_NAME":"M30531","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3143","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3143 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4803","SYSTEMATIC_NAME":"M30532","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4803","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4803 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548BC","SYSTEMATIC_NAME":"M30533","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548bc","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548bc in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548AZ_3P","SYSTEMATIC_NAME":"M30534","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548az-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548az-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548A_3P","SYSTEMATIC_NAME":"M30535","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548a-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4306","SYSTEMATIC_NAME":"M30536","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4306","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4306 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR15A_5P","SYSTEMATIC_NAME":"M30537","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-15a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-15a-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4495","SYSTEMATIC_NAME":"M30538","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4495","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4495 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548E_3P","SYSTEMATIC_NAME":"M30539","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548e-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548e-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR195_5P","SYSTEMATIC_NAME":"M30540","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-195-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-195-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR15B_5P","SYSTEMATIC_NAME":"M30541","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-15b-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-15b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR200B_3P","SYSTEMATIC_NAME":"M30542","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-200b-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-200b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR16_5P","SYSTEMATIC_NAME":"M30543","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-16-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-16-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR200C_3P","SYSTEMATIC_NAME":"M30544","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-200c-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-200c-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3065_5P","SYSTEMATIC_NAME":"M30545","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3065-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3065-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR137_3P","SYSTEMATIC_NAME":"M30546","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-137-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-137-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR12123","SYSTEMATIC_NAME":"M30547","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-12123","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-12123 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1283","SYSTEMATIC_NAME":"M30548","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1283","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1283 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR338_5P","SYSTEMATIC_NAME":"M30549","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-338-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-338-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3688_3P","SYSTEMATIC_NAME":"M30550","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3688-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3688-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4422","SYSTEMATIC_NAME":"M30551","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4422","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4422 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR300","SYSTEMATIC_NAME":"M30552","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-300","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-300 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4261","SYSTEMATIC_NAME":"M30553","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4261","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4261 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR101_3P","SYSTEMATIC_NAME":"M30554","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-101-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-101-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR381_3P","SYSTEMATIC_NAME":"M30555","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-381-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-381-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR655_3P","SYSTEMATIC_NAME":"M30556","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-655-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-655-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR374C_5P","SYSTEMATIC_NAME":"M30557","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-374c-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-374c-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4307","SYSTEMATIC_NAME":"M30558","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4307","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4307 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR656_3P","SYSTEMATIC_NAME":"M30559","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-656-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-656-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5680","SYSTEMATIC_NAME":"M30560","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5680","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5680 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR129_5P","SYSTEMATIC_NAME":"M30561","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-129-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-129-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6124","SYSTEMATIC_NAME":"M30562","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6124","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6124 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7110_3P","SYSTEMATIC_NAME":"M30563","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7110-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7110-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548F_5P","SYSTEMATIC_NAME":"M30564","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548f-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548f-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548AJ_5P_MIR548G_5P_MIR548X_5P","SYSTEMATIC_NAME":"M30565","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548aj-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548aj-5p, hsa-miR-548g-5p, hsa-miR-548x-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR494_3P","SYSTEMATIC_NAME":"M30566","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-494-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-494-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR196A_1_3P","SYSTEMATIC_NAME":"M30567","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-196a-1-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-196a-1-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR32_5P","SYSTEMATIC_NAME":"M30568","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-32-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-32-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR33A_3P","SYSTEMATIC_NAME":"M30569","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-33a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-33a-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6838_5P","SYSTEMATIC_NAME":"M30570","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6838-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6838-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR92A_3P","SYSTEMATIC_NAME":"M30571","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-92a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-92a-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR8068","SYSTEMATIC_NAME":"M30572","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-8068","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-8068 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR374A_5P","SYSTEMATIC_NAME":"M30573","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-374a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-374a-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR92B_3P","SYSTEMATIC_NAME":"M30574","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-92b-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-92b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3606_3P","SYSTEMATIC_NAME":"M30575","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3606-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3606-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR944","SYSTEMATIC_NAME":"M30576","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-944","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-944 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6833_3P","SYSTEMATIC_NAME":"M30577","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6833-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6833-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6825_5P","SYSTEMATIC_NAME":"M30578","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6825-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6825-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR26A_5P","SYSTEMATIC_NAME":"M30579","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-26a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-26a-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR149_3P","SYSTEMATIC_NAME":"M30580","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-149-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-149-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR26B_5P","SYSTEMATIC_NAME":"M30581","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-26b-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-26b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR424_5P","SYSTEMATIC_NAME":"M30582","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-424-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-424-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR497_5P","SYSTEMATIC_NAME":"M30583","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-497-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-497-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6885_3P","SYSTEMATIC_NAME":"M30584","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6885-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6885-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548AZ_5P","SYSTEMATIC_NAME":"M30585","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548az-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548az-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548T_5P","SYSTEMATIC_NAME":"M30586","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548t-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548t-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5692B_MIR5692C","SYSTEMATIC_NAME":"M30587","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5692b","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5692b, hsa-miR-5692c in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4672","SYSTEMATIC_NAME":"M30588","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4672","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4672 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR205_3P","SYSTEMATIC_NAME":"M30589","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-205-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-205-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4500","SYSTEMATIC_NAME":"M30590","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4500","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4500 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6835_3P","SYSTEMATIC_NAME":"M30591","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6835-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6835-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR493_5P","SYSTEMATIC_NAME":"M30592","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-493-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-493-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR141_3P","SYSTEMATIC_NAME":"M30593","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-141-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-141-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR200A_3P","SYSTEMATIC_NAME":"M30594","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-200a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-200a-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4531","SYSTEMATIC_NAME":"M30595","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4531","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4531 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR466","SYSTEMATIC_NAME":"M30596","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-466","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-466 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7159_5P","SYSTEMATIC_NAME":"M30597","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7159-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7159-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6875_3P","SYSTEMATIC_NAME":"M30598","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6875-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6875-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR664A_3P","SYSTEMATIC_NAME":"M30599","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-664a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-664a-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR545_3P","SYSTEMATIC_NAME":"M30600","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-545-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-545-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4492","SYSTEMATIC_NAME":"M30601","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4492","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4492 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4311","SYSTEMATIC_NAME":"M30602","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4311","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4311 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR539_5P","SYSTEMATIC_NAME":"M30603","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-539-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-539-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6873_3P","SYSTEMATIC_NAME":"M30604","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6873-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6873-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6883_5P","SYSTEMATIC_NAME":"M30605","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6883-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6883-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7856_5P","SYSTEMATIC_NAME":"M30606","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7856-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7856-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4699_3P","SYSTEMATIC_NAME":"M30607","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4699-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4699-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR9_5P","SYSTEMATIC_NAME":"M30608","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-9-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-9-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4251","SYSTEMATIC_NAME":"M30609","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4251","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4251 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4799_5P","SYSTEMATIC_NAME":"M30610","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4799-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4799-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR302E","SYSTEMATIC_NAME":"M30611","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-302e","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-302e in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR128_3P","SYSTEMATIC_NAME":"M30612","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-128-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-128-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4755_5P","SYSTEMATIC_NAME":"M30613","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4755-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4755-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR510_3P","SYSTEMATIC_NAME":"M30614","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-510-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-510-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR216A_3P","SYSTEMATIC_NAME":"M30615","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-216a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-216a-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR367_3P","SYSTEMATIC_NAME":"M30616","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-367-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-367-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR363_3P","SYSTEMATIC_NAME":"M30617","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-363-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-363-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4789_3P","SYSTEMATIC_NAME":"M30618","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4789-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4789-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR582_5P","SYSTEMATIC_NAME":"M30619","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-582-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-582-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR454_3P","SYSTEMATIC_NAME":"M30620","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-454-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-454-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5006_3P","SYSTEMATIC_NAME":"M30621","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5006-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5006-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR25_3P","SYSTEMATIC_NAME":"M30622","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-25-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-25-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548AT_5P","SYSTEMATIC_NAME":"M30623","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548at-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548at-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1185_1_3P_MIR1185_2_3P","SYSTEMATIC_NAME":"M30624","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1185-1-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1185-1-3p, hsa-miR-1185-2-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR203A_3P","SYSTEMATIC_NAME":"M30625","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-203a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-203a-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR576_5P","SYSTEMATIC_NAME":"M30626","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-576-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-576-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR30D_3P","SYSTEMATIC_NAME":"M30627","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-30d-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-30d-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR204_5P","SYSTEMATIC_NAME":"M30628","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-204-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-204-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR211_5P","SYSTEMATIC_NAME":"M30629","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-211-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-211-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548AN","SYSTEMATIC_NAME":"M30630","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548an","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548an in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4789_5P","SYSTEMATIC_NAME":"M30631","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4789-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4789-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR587","SYSTEMATIC_NAME":"M30632","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-587","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-587 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR96_5P","SYSTEMATIC_NAME":"M30633","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-96-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-96-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548L","SYSTEMATIC_NAME":"M30634","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548l","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548l in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR30E_3P","SYSTEMATIC_NAME":"M30635","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-30e-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-30e-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR30A_3P","SYSTEMATIC_NAME":"M30636","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-30a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-30a-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1827","SYSTEMATIC_NAME":"M30637","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1827","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1827 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1252_5P","SYSTEMATIC_NAME":"M30638","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1252-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1252-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"LET_7F_2_3P","SYSTEMATIC_NAME":"M30639","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-let-7f-2-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-let-7f-2-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR8063","SYSTEMATIC_NAME":"M30640","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-8063","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-8063 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6507_5P","SYSTEMATIC_NAME":"M30641","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6507-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6507-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4477A","SYSTEMATIC_NAME":"M30642","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4477a","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4477a in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3924","SYSTEMATIC_NAME":"M30643","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3924","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3924 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4465","SYSTEMATIC_NAME":"M30644","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4465","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4465 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4652_3P","SYSTEMATIC_NAME":"M30645","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4652-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4652-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3941","SYSTEMATIC_NAME":"M30646","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3941","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3941 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR374B_5P","SYSTEMATIC_NAME":"M30647","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-374b-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-374b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4291","SYSTEMATIC_NAME":"M30648","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4291","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4291 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6504_3P","SYSTEMATIC_NAME":"M30649","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6504-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6504-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR130A_3P","SYSTEMATIC_NAME":"M30650","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-130a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-130a-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5590_3P","SYSTEMATIC_NAME":"M30651","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5590-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5590-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3714","SYSTEMATIC_NAME":"M30652","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3714","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3714 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR142_5P","SYSTEMATIC_NAME":"M30653","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-142-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-142-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4533","SYSTEMATIC_NAME":"M30654","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4533","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4533 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR130A_5P","SYSTEMATIC_NAME":"M30655","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-130a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-130a-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3119","SYSTEMATIC_NAME":"M30656","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3119","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3119 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR130B_3P","SYSTEMATIC_NAME":"M30657","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-130b-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-130b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7106_5P","SYSTEMATIC_NAME":"M30658","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7106-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7106-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3120_3P","SYSTEMATIC_NAME":"M30659","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3120-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3120-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4295","SYSTEMATIC_NAME":"M30660","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4295","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4295 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4694_3P","SYSTEMATIC_NAME":"M30661","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4694-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4694-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3059_5P","SYSTEMATIC_NAME":"M30662","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3059-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3059-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR301A_3P","SYSTEMATIC_NAME":"M30663","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-301a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-301a-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR301B_3P","SYSTEMATIC_NAME":"M30664","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-301b-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-301b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6721_5P","SYSTEMATIC_NAME":"M30665","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6721-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6721-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4768_5P","SYSTEMATIC_NAME":"M30666","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4768-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4768-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR10399_5P","SYSTEMATIC_NAME":"M30667","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-10399-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-10399-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3910","SYSTEMATIC_NAME":"M30668","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3910","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3910 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3666","SYSTEMATIC_NAME":"M30669","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3666","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3666 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4516","SYSTEMATIC_NAME":"M30670","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4516","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4516 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6508_5P","SYSTEMATIC_NAME":"M30671","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6508-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6508-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR448","SYSTEMATIC_NAME":"M30672","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-448","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-448 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1299","SYSTEMATIC_NAME":"M30673","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1299","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1299 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6844","SYSTEMATIC_NAME":"M30674","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6844","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6844 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1207_5P","SYSTEMATIC_NAME":"M30675","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1207-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1207-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR147B_5P","SYSTEMATIC_NAME":"M30676","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-147b-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-147b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3686","SYSTEMATIC_NAME":"M30677","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3686","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3686 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR511_5P","SYSTEMATIC_NAME":"M30678","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-511-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-511-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4319","SYSTEMATIC_NAME":"M30679","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4319","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4319 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR218_5P","SYSTEMATIC_NAME":"M30680","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-218-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-218-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3942_3P","SYSTEMATIC_NAME":"M30681","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3942-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3942-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1323","SYSTEMATIC_NAME":"M30682","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1323","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1323 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR410_3P","SYSTEMATIC_NAME":"M30683","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-410-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-410-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR29B_3P_MIR29C_3P","SYSTEMATIC_NAME":"M30684","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-29b-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-29b-3p, hsa-miR-29c-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR29A_3P","SYSTEMATIC_NAME":"M30685","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-29a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-29a-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR369_3P","SYSTEMATIC_NAME":"M30686","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-369-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-369-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1271_5P","SYSTEMATIC_NAME":"M30687","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1271-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1271-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3609","SYSTEMATIC_NAME":"M30688","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3609","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3609 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR206","SYSTEMATIC_NAME":"M30689","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-206","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-206 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR519C_3P","SYSTEMATIC_NAME":"M30690","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-519c-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-519c-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4760_3P","SYSTEMATIC_NAME":"M30691","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4760-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4760-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR12133","SYSTEMATIC_NAME":"M30692","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-12133","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-12133 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR519A_3P_MIR519B_3P","SYSTEMATIC_NAME":"M30693","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-519a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-519a-3p, hsa-miR-519b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR148A_3P","SYSTEMATIC_NAME":"M30694","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-148a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-148a-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1_3P","SYSTEMATIC_NAME":"M30695","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR513A_5P","SYSTEMATIC_NAME":"M30696","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-513a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-513a-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR152_3P","SYSTEMATIC_NAME":"M30697","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-152-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-152-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR148B_3P","SYSTEMATIC_NAME":"M30698","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-148b-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-148b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4446_5P","SYSTEMATIC_NAME":"M30699","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4446-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4446-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR9_3P","SYSTEMATIC_NAME":"M30700","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-9-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-9-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3681_3P","SYSTEMATIC_NAME":"M30701","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3681-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3681-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5010_3P","SYSTEMATIC_NAME":"M30702","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5010-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5010-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548AH_5P","SYSTEMATIC_NAME":"M30703","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548ah-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548ah-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5700","SYSTEMATIC_NAME":"M30704","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5700","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5700 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4503","SYSTEMATIC_NAME":"M30705","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4503","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4503 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5584_5P","SYSTEMATIC_NAME":"M30706","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5584-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5584-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR875_3P","SYSTEMATIC_NAME":"M30707","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-875-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-875-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6780B_5P","SYSTEMATIC_NAME":"M30708","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6780b-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6780b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR545_5P","SYSTEMATIC_NAME":"M30709","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-545-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-545-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4725_3P","SYSTEMATIC_NAME":"M30710","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4725-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4725-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4447","SYSTEMATIC_NAME":"M30711","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4447","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4447 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1252_3P","SYSTEMATIC_NAME":"M30712","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1252-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1252-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR519E_5P","SYSTEMATIC_NAME":"M30713","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-519e-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-519e-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR330_3P","SYSTEMATIC_NAME":"M30714","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-330-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-330-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548AV_5P_MIR548K","SYSTEMATIC_NAME":"M30715","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548av-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548av-5p, hsa-miR-548k in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4310","SYSTEMATIC_NAME":"M30716","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4310","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4310 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3692_3P","SYSTEMATIC_NAME":"M30717","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3692-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3692-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR12124","SYSTEMATIC_NAME":"M30718","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-12124","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-12124 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3919","SYSTEMATIC_NAME":"M30719","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3919","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3919 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4766_5P","SYSTEMATIC_NAME":"M30720","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4766-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4766-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR515_5P","SYSTEMATIC_NAME":"M30721","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-515-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-515-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR8054","SYSTEMATIC_NAME":"M30722","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-8054","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-8054 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4668_3P","SYSTEMATIC_NAME":"M30723","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4668-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4668-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR543","SYSTEMATIC_NAME":"M30724","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-543","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-543 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR670_3P","SYSTEMATIC_NAME":"M30725","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-670-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-670-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4762_3P","SYSTEMATIC_NAME":"M30726","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4762-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4762-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"LET_7B_5P","SYSTEMATIC_NAME":"M30727","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-let-7b-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-let-7b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR577","SYSTEMATIC_NAME":"M30728","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-577","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-577 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"LET_7A_5P_LET_7C_5P_LET_7E_5P","SYSTEMATIC_NAME":"M30729","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-let-7a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-let-7a-5p, hsa-let-7c-5p, hsa-let-7e-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"LET_7I_5P","SYSTEMATIC_NAME":"M30730","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-let-7i-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-let-7i-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"LET_7F_5P","SYSTEMATIC_NAME":"M30731","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-let-7f-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-let-7f-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"LET_7G_5P","SYSTEMATIC_NAME":"M30732","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-let-7g-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-let-7g-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR98_5P","SYSTEMATIC_NAME":"M30733","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-98-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-98-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6868_3P","SYSTEMATIC_NAME":"M30734","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6868-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6868-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4441","SYSTEMATIC_NAME":"M30735","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4441","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4441 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR208B_5P","SYSTEMATIC_NAME":"M30736","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-208b-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-208b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR8067","SYSTEMATIC_NAME":"M30737","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-8067","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-8067 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5003_3P","SYSTEMATIC_NAME":"M30738","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5003-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5003-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1275","SYSTEMATIC_NAME":"M30739","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1275","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1275 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5196_5P","SYSTEMATIC_NAME":"M30740","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5196-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5196-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR208A_5P","SYSTEMATIC_NAME":"M30741","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-208a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-208a-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3180_5P","SYSTEMATIC_NAME":"M30742","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3180-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3180-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR892C_5P","SYSTEMATIC_NAME":"M30743","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-892c-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-892c-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR586","SYSTEMATIC_NAME":"M30744","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-586","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-586 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR513B_5P","SYSTEMATIC_NAME":"M30745","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-513b-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-513b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4644","SYSTEMATIC_NAME":"M30746","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4644","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4644 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548O_3P","SYSTEMATIC_NAME":"M30747","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548o-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548o-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1290","SYSTEMATIC_NAME":"M30748","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1290","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1290 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5582_5P","SYSTEMATIC_NAME":"M30749","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5582-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5582-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR32_3P","SYSTEMATIC_NAME":"M30750","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-32-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-32-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR153_3P","SYSTEMATIC_NAME":"M30751","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-153-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-153-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR185_5P","SYSTEMATIC_NAME":"M30752","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-185-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-185-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4263","SYSTEMATIC_NAME":"M30753","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4263","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4263 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1200","SYSTEMATIC_NAME":"M30754","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1200","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1200 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR889_3P","SYSTEMATIC_NAME":"M30755","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-889-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-889-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR34A_5P","SYSTEMATIC_NAME":"M30756","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-34a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-34a-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6074","SYSTEMATIC_NAME":"M30757","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6074","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6074 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR449A","SYSTEMATIC_NAME":"M30758","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-449a","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-449a in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6739_5P","SYSTEMATIC_NAME":"M30759","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6739-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6739-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6083","SYSTEMATIC_NAME":"M30760","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6083","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6083 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3619_5P","SYSTEMATIC_NAME":"M30761","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3619-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3619-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR380_3P","SYSTEMATIC_NAME":"M30762","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-380-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-380-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR613","SYSTEMATIC_NAME":"M30763","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-613","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-613 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR195_3P","SYSTEMATIC_NAME":"M30764","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-195-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-195-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR16_2_3P","SYSTEMATIC_NAME":"M30765","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-16-2-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-16-2-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6733_5P","SYSTEMATIC_NAME":"M30766","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6733-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6733-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4747_5P","SYSTEMATIC_NAME":"M30767","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4747-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4747-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7151_3P","SYSTEMATIC_NAME":"M30768","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7151-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7151-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR302A_3P_MIR302B_3P_MIR302C_3P_MIR302D_3P","SYSTEMATIC_NAME":"M30769","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-302a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-302a-3p, hsa-miR-302b-3p, hsa-miR-302c-3p, hsa-miR-302d-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4677_5P","SYSTEMATIC_NAME":"M30770","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4677-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4677-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548AS_3P","SYSTEMATIC_NAME":"M30771","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548as-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548as-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4505","SYSTEMATIC_NAME":"M30772","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4505","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4505 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7154_5P","SYSTEMATIC_NAME":"M30773","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7154-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7154-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5195_3P","SYSTEMATIC_NAME":"M30774","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5195-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5195-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3617_5P","SYSTEMATIC_NAME":"M30775","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3617-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3617-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3202","SYSTEMATIC_NAME":"M30776","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3202","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3202 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR9902","SYSTEMATIC_NAME":"M30777","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-9902","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-9902 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR641","SYSTEMATIC_NAME":"M30778","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-641","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-641 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4458","SYSTEMATIC_NAME":"M30779","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4458","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4458 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3973","SYSTEMATIC_NAME":"M30780","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3973","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3973 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"LET_7A_2_3P","SYSTEMATIC_NAME":"M30781","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-let-7a-2-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-let-7a-2-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR105_5P","SYSTEMATIC_NAME":"M30782","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-105-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-105-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4477B","SYSTEMATIC_NAME":"M30783","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4477b","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4477b in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5580_3P","SYSTEMATIC_NAME":"M30784","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5580-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5580-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR320A_3P_MIR320B_MIR320C_MIR320D","SYSTEMATIC_NAME":"M30785","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-320a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-320a-3p, hsa-miR-320b, hsa-miR-320c, hsa-miR-320d in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"LET_7D_5P","SYSTEMATIC_NAME":"M30786","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-let-7d-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-let-7d-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7152_5P","SYSTEMATIC_NAME":"M30787","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7152-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7152-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR145_5P","SYSTEMATIC_NAME":"M30788","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-145-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-145-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4429","SYSTEMATIC_NAME":"M30789","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4429","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4429 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4801","SYSTEMATIC_NAME":"M30790","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4801","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4801 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"LET_7G_3P","SYSTEMATIC_NAME":"M30791","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-let-7g-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-let-7g-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7853_5P","SYSTEMATIC_NAME":"M30792","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7853-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7853-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4528","SYSTEMATIC_NAME":"M30793","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4528","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4528 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR2115_3P","SYSTEMATIC_NAME":"M30794","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-2115-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-2115-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3145_3P","SYSTEMATIC_NAME":"M30795","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3145-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3145-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR507","SYSTEMATIC_NAME":"M30796","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-507","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-507 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3125","SYSTEMATIC_NAME":"M30797","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3125","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3125 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4276","SYSTEMATIC_NAME":"M30798","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4276","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4276 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4496","SYSTEMATIC_NAME":"M30799","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4496","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4496 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR372_5P","SYSTEMATIC_NAME":"M30800","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-372-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-372-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7159_3P","SYSTEMATIC_NAME":"M30801","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7159-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7159-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5787","SYSTEMATIC_NAME":"M30802","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5787","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5787 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR888_5P","SYSTEMATIC_NAME":"M30803","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-888-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-888-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR497_3P","SYSTEMATIC_NAME":"M30804","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-497-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-497-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1284","SYSTEMATIC_NAME":"M30805","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1284","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1284 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4680_3P","SYSTEMATIC_NAME":"M30806","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4680-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4680-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4778_3P","SYSTEMATIC_NAME":"M30807","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4778-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4778-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR580_5P","SYSTEMATIC_NAME":"M30808","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-580-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-580-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR765","SYSTEMATIC_NAME":"M30809","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-765","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-765 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6756_5P","SYSTEMATIC_NAME":"M30810","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6756-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6756-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR568","SYSTEMATIC_NAME":"M30811","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-568","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-568 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR135A_5P","SYSTEMATIC_NAME":"M30812","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-135a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-135a-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3978","SYSTEMATIC_NAME":"M30813","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3978","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3978 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR24_3P","SYSTEMATIC_NAME":"M30814","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-24-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-24-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR589_3P","SYSTEMATIC_NAME":"M30815","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-589-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-589-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR520A_3P","SYSTEMATIC_NAME":"M30816","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-520a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-520a-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR372_3P","SYSTEMATIC_NAME":"M30817","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-372-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-372-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4303","SYSTEMATIC_NAME":"M30818","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4303","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4303 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR520D_3P","SYSTEMATIC_NAME":"M30819","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-520d-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-520d-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3182","SYSTEMATIC_NAME":"M30820","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3182","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3182 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4427","SYSTEMATIC_NAME":"M30821","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4427","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4427 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4325","SYSTEMATIC_NAME":"M30822","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4325","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4325 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548G_3P","SYSTEMATIC_NAME":"M30823","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548g-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548g-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR520B_3P_MIR520C_3P_MIR520E_3P","SYSTEMATIC_NAME":"M30824","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-520b-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-520b-3p, hsa-miR-520c-3p, hsa-miR-520e-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR2052","SYSTEMATIC_NAME":"M30825","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-2052","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-2052 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3123","SYSTEMATIC_NAME":"M30826","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3123","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3123 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR135B_5P","SYSTEMATIC_NAME":"M30827","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-135b-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-135b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5002_5P","SYSTEMATIC_NAME":"M30828","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5002-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5002-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7_5P","SYSTEMATIC_NAME":"M30829","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR518A_5P_MIR527","SYSTEMATIC_NAME":"M30830","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-518a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-518a-5p, hsa-miR-527 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5093","SYSTEMATIC_NAME":"M30831","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5093","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5093 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR519D_5P","SYSTEMATIC_NAME":"M30832","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-519d-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-519d-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4666A_5P","SYSTEMATIC_NAME":"M30833","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4666a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4666a-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR373_3P","SYSTEMATIC_NAME":"M30834","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-373-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-373-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4731_5P","SYSTEMATIC_NAME":"M30835","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4731-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4731-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4763_3P","SYSTEMATIC_NAME":"M30836","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4763-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4763-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR377_3P","SYSTEMATIC_NAME":"M30837","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-377-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-377-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5683","SYSTEMATIC_NAME":"M30838","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5683","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5683 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4723_5P","SYSTEMATIC_NAME":"M30839","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4723-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4723-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR12135","SYSTEMATIC_NAME":"M30840","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-12135","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-12135 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR125B_5P","SYSTEMATIC_NAME":"M30841","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-125b-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-125b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR125A_5P","SYSTEMATIC_NAME":"M30842","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-125a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-125a-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3916","SYSTEMATIC_NAME":"M30843","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3916","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3916 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6870_5P","SYSTEMATIC_NAME":"M30844","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6870-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6870-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6832_3P","SYSTEMATIC_NAME":"M30845","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6832-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6832-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6766_5P","SYSTEMATIC_NAME":"M30846","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6766-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6766-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR2113","SYSTEMATIC_NAME":"M30847","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-2113","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-2113 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR10522_5P","SYSTEMATIC_NAME":"M30848","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-10522-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-10522-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR520F_5P","SYSTEMATIC_NAME":"M30849","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-520f-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-520f-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3140_3P","SYSTEMATIC_NAME":"M30850","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3140-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3140-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR205_5P","SYSTEMATIC_NAME":"M30851","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-205-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-205-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR214_3P","SYSTEMATIC_NAME":"M30852","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-214-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-214-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6878_5P","SYSTEMATIC_NAME":"M30853","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6878-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6878-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4524A_3P","SYSTEMATIC_NAME":"M30854","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4524a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4524a-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4703_5P","SYSTEMATIC_NAME":"M30855","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4703-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4703-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6859_5P","SYSTEMATIC_NAME":"M30856","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6859-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6859-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7157_5P","SYSTEMATIC_NAME":"M30857","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7157-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7157-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR323A_3P","SYSTEMATIC_NAME":"M30858","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-323a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-323a-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR498_5P","SYSTEMATIC_NAME":"M30859","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-498-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-498-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6077","SYSTEMATIC_NAME":"M30860","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6077","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6077 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4742_3P","SYSTEMATIC_NAME":"M30861","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4742-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4742-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR659_3P","SYSTEMATIC_NAME":"M30862","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-659-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-659-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7111_5P","SYSTEMATIC_NAME":"M30863","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7111-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7111-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3915","SYSTEMATIC_NAME":"M30864","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3915","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3915 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR539_3P","SYSTEMATIC_NAME":"M30865","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-539-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-539-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5698","SYSTEMATIC_NAME":"M30866","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5698","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5698 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6764_5P","SYSTEMATIC_NAME":"M30867","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6764-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6764-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4498","SYSTEMATIC_NAME":"M30868","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4498","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4498 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3124_3P","SYSTEMATIC_NAME":"M30869","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3124-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3124-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR766_5P","SYSTEMATIC_NAME":"M30870","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-766-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-766-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6778_3P","SYSTEMATIC_NAME":"M30871","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6778-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6778-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR485_3P","SYSTEMATIC_NAME":"M30872","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-485-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-485-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR181B_2_3P_MIR181B_3P","SYSTEMATIC_NAME":"M30873","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-181b-2-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-181b-2-3p, hsa-miR-181b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR10523_5P","SYSTEMATIC_NAME":"M30874","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-10523-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-10523-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6817_3P","SYSTEMATIC_NAME":"M30875","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6817-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6817-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR519A_2_5P_MIR520B_5P","SYSTEMATIC_NAME":"M30876","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-519a-2-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-519a-2-5p, hsa-miR-520b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR625_5P","SYSTEMATIC_NAME":"M30877","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-625-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-625-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR670_5P","SYSTEMATIC_NAME":"M30878","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-670-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-670-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6780A_5P","SYSTEMATIC_NAME":"M30879","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6780a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6780a-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR761","SYSTEMATIC_NAME":"M30880","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-761","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-761 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6830_5P","SYSTEMATIC_NAME":"M30881","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6830-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6830-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4271","SYSTEMATIC_NAME":"M30882","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4271","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4271 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR8085","SYSTEMATIC_NAME":"M30883","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-8085","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-8085 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR557","SYSTEMATIC_NAME":"M30884","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-557","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-557 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6731_5P","SYSTEMATIC_NAME":"M30885","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6731-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6731-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR8084","SYSTEMATIC_NAME":"M30886","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-8084","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-8084 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4470","SYSTEMATIC_NAME":"M30887","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4470","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4470 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4517","SYSTEMATIC_NAME":"M30888","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4517","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4517 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR580_3P","SYSTEMATIC_NAME":"M30889","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-580-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-580-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4692","SYSTEMATIC_NAME":"M30890","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4692","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4692 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR130B_5P","SYSTEMATIC_NAME":"M30891","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-130b-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-130b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7977","SYSTEMATIC_NAME":"M30892","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7977","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7977 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3153","SYSTEMATIC_NAME":"M30893","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3153","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3153 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4743_3P","SYSTEMATIC_NAME":"M30894","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4743-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4743-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6516_5P","SYSTEMATIC_NAME":"M30895","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6516-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6516-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR450A_1_3P","SYSTEMATIC_NAME":"M30896","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-450a-1-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-450a-1-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR942_5P","SYSTEMATIC_NAME":"M30897","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-942-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-942-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR29B_2_5P","SYSTEMATIC_NAME":"M30898","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-29b-2-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-29b-2-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR452_5P","SYSTEMATIC_NAME":"M30899","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-452-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-452-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR34C_5P","SYSTEMATIC_NAME":"M30900","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-34c-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-34c-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR155_5P","SYSTEMATIC_NAME":"M30901","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-155-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-155-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4420","SYSTEMATIC_NAME":"M30902","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4420","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4420 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3160_5P","SYSTEMATIC_NAME":"M30903","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3160-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3160-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7160_5P","SYSTEMATIC_NAME":"M30904","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7160-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7160-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3185","SYSTEMATIC_NAME":"M30905","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3185","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3185 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4731_3P","SYSTEMATIC_NAME":"M30906","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4731-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4731-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4272","SYSTEMATIC_NAME":"M30907","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4272","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4272 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548M","SYSTEMATIC_NAME":"M30908","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548m","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548m in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6876_5P","SYSTEMATIC_NAME":"M30909","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6876-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6876-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4279","SYSTEMATIC_NAME":"M30910","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4279","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4279 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR605_3P","SYSTEMATIC_NAME":"M30911","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-605-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-605-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1303","SYSTEMATIC_NAME":"M30912","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1303","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1303 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4760_5P","SYSTEMATIC_NAME":"M30913","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4760-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4760-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR146A_3P","SYSTEMATIC_NAME":"M30914","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-146a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-146a-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR449B_5P","SYSTEMATIC_NAME":"M30915","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-449b-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-449b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6783_3P","SYSTEMATIC_NAME":"M30916","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6783-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6783-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR302F","SYSTEMATIC_NAME":"M30917","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-302f","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-302f in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR92A_2_5P","SYSTEMATIC_NAME":"M30918","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-92a-2-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-92a-2-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR488_3P","SYSTEMATIC_NAME":"M30919","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-488-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-488-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR518C_5P","SYSTEMATIC_NAME":"M30920","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-518c-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-518c-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR12131","SYSTEMATIC_NAME":"M30921","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-12131","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-12131 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR298","SYSTEMATIC_NAME":"M30922","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-298","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-298 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4476","SYSTEMATIC_NAME":"M30923","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4476","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4476 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR892C_3P","SYSTEMATIC_NAME":"M30924","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-892c-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-892c-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR302B_5P","SYSTEMATIC_NAME":"M30925","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-302b-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-302b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4267","SYSTEMATIC_NAME":"M30926","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4267","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4267 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6830_3P","SYSTEMATIC_NAME":"M30927","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6830-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6830-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6127","SYSTEMATIC_NAME":"M30928","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6127","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6127 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6515_3P","SYSTEMATIC_NAME":"M30929","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6515-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6515-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR12122","SYSTEMATIC_NAME":"M30930","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-12122","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-12122 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5003_5P","SYSTEMATIC_NAME":"M30931","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5003-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5003-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR544A","SYSTEMATIC_NAME":"M30932","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-544a","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-544a in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4676_3P","SYSTEMATIC_NAME":"M30933","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4676-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4676-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR578","SYSTEMATIC_NAME":"M30934","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-578","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-578 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR29A_5P","SYSTEMATIC_NAME":"M30935","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-29a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-29a-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4324","SYSTEMATIC_NAME":"M30936","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4324","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4324 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4700_5P","SYSTEMATIC_NAME":"M30937","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4700-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4700-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR302D_5P","SYSTEMATIC_NAME":"M30938","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-302d-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-302d-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR133A_3P_MIR133B","SYSTEMATIC_NAME":"M30939","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-133a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-133a-3p, hsa-miR-133b in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR212_3P","SYSTEMATIC_NAME":"M30940","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-212-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-212-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3685","SYSTEMATIC_NAME":"M30941","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3685","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3685 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548AV_3P","SYSTEMATIC_NAME":"M30942","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548av-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548av-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR877_3P","SYSTEMATIC_NAME":"M30943","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-877-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-877-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4744","SYSTEMATIC_NAME":"M30944","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4744","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4744 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4524A_5P","SYSTEMATIC_NAME":"M30945","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4524a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4524a-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4524B_5P","SYSTEMATIC_NAME":"M30946","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4524b-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4524b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3942_5P","SYSTEMATIC_NAME":"M30947","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3942-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3942-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR224_3P","SYSTEMATIC_NAME":"M30948","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-224-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-224-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6505_5P","SYSTEMATIC_NAME":"M30949","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6505-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6505-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR183_5P","SYSTEMATIC_NAME":"M30950","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-183-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-183-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5703","SYSTEMATIC_NAME":"M30951","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5703","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5703 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR302A_5P","SYSTEMATIC_NAME":"M30952","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-302a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-302a-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6853_3P","SYSTEMATIC_NAME":"M30953","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6853-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6853-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR552_5P","SYSTEMATIC_NAME":"M30954","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-552-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-552-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR194_5P","SYSTEMATIC_NAME":"M30955","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-194-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-194-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6739_3P","SYSTEMATIC_NAME":"M30956","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6739-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6739-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR132_3P","SYSTEMATIC_NAME":"M30957","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-132-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-132-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR122B_5P","SYSTEMATIC_NAME":"M30958","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-122b-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-122b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR221_3P","SYSTEMATIC_NAME":"M30959","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-221-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-221-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR608","SYSTEMATIC_NAME":"M30960","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-608","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-608 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4768_3P","SYSTEMATIC_NAME":"M30961","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4768-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4768-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4651","SYSTEMATIC_NAME":"M30962","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4651","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4651 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4773","SYSTEMATIC_NAME":"M30963","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4773","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4773 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR379_3P_MIR411_3P","SYSTEMATIC_NAME":"M30964","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-379-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-379-3p, hsa-miR-411-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR522_3P","SYSTEMATIC_NAME":"M30965","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-522-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-522-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7515","SYSTEMATIC_NAME":"M30966","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7515","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7515 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR222_3P","SYSTEMATIC_NAME":"M30967","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-222-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-222-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR202_3P","SYSTEMATIC_NAME":"M30968","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-202-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-202-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR629_3P","SYSTEMATIC_NAME":"M30969","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-629-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-629-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1285_3P","SYSTEMATIC_NAME":"M30970","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1285-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1285-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR2053","SYSTEMATIC_NAME":"M30971","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-2053","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-2053 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR103A_3P_MIR107","SYSTEMATIC_NAME":"M30972","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-103a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-103a-3p, hsa-miR-107 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4434","SYSTEMATIC_NAME":"M30973","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4434","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4434 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4283","SYSTEMATIC_NAME":"M30974","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4283","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4283 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR217_5P","SYSTEMATIC_NAME":"M30975","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-217-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-217-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4297","SYSTEMATIC_NAME":"M30976","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4297","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4297 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR16_1_3P","SYSTEMATIC_NAME":"M30977","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-16-1-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-16-1-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR499A_5P","SYSTEMATIC_NAME":"M30978","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-499a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-499a-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4796_3P","SYSTEMATIC_NAME":"M30979","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4796-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4796-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR183_3P","SYSTEMATIC_NAME":"M30980","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-183-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-183-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR636","SYSTEMATIC_NAME":"M30981","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-636","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-636 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR139_5P","SYSTEMATIC_NAME":"M30982","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-139-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-139-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR345_3P","SYSTEMATIC_NAME":"M30983","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-345-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-345-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4782_5P","SYSTEMATIC_NAME":"M30984","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4782-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4782-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR12120","SYSTEMATIC_NAME":"M30985","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-12120","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-12120 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6129","SYSTEMATIC_NAME":"M30986","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6129","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6129 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5706","SYSTEMATIC_NAME":"M30987","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5706","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5706 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6133","SYSTEMATIC_NAME":"M30988","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6133","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6133 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR20A_3P","SYSTEMATIC_NAME":"M30989","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-20a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-20a-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7161_5P","SYSTEMATIC_NAME":"M30990","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7161-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7161-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4735_5P","SYSTEMATIC_NAME":"M30991","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4735-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4735-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4510","SYSTEMATIC_NAME":"M30992","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4510","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4510 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4643","SYSTEMATIC_NAME":"M30993","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4643","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4643 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6130","SYSTEMATIC_NAME":"M30994","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6130","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6130 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6722_3P","SYSTEMATIC_NAME":"M30995","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6722-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6722-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3065_3P","SYSTEMATIC_NAME":"M30996","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3065-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3065-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1276","SYSTEMATIC_NAME":"M30997","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1276","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1276 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4684_5P","SYSTEMATIC_NAME":"M30998","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4684-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4684-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6768_5P","SYSTEMATIC_NAME":"M30999","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6768-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6768-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR361_5P","SYSTEMATIC_NAME":"M31000","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-361-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-361-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4742_5P","SYSTEMATIC_NAME":"M31001","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4742-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4742-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR8065","SYSTEMATIC_NAME":"M31002","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-8065","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-8065 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1236_3P","SYSTEMATIC_NAME":"M31003","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1236-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1236-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4713_5P","SYSTEMATIC_NAME":"M31004","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4713-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4713-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5701","SYSTEMATIC_NAME":"M31005","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5701","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5701 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6797_5P","SYSTEMATIC_NAME":"M31006","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6797-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6797-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3679_3P","SYSTEMATIC_NAME":"M31007","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3679-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3679-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4778_5P","SYSTEMATIC_NAME":"M31008","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4778-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4778-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR514B_5P","SYSTEMATIC_NAME":"M31009","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-514b-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-514b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR11181_3P","SYSTEMATIC_NAME":"M31010","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-11181-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-11181-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR187_5P","SYSTEMATIC_NAME":"M31011","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-187-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-187-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4802_3P","SYSTEMATIC_NAME":"M31012","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4802-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4802-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR520E_5P","SYSTEMATIC_NAME":"M31013","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-520e-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-520e-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6882_5P","SYSTEMATIC_NAME":"M31014","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6882-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6882-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR8061","SYSTEMATIC_NAME":"M31015","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-8061","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-8061 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6881_3P","SYSTEMATIC_NAME":"M31016","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6881-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6881-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1249_5P","SYSTEMATIC_NAME":"M31017","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1249-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1249-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5197_5P","SYSTEMATIC_NAME":"M31018","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5197-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5197-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6852_5P","SYSTEMATIC_NAME":"M31019","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6852-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6852-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR8066","SYSTEMATIC_NAME":"M31020","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-8066","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-8066 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1273H_5P","SYSTEMATIC_NAME":"M31021","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1273h-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1273h-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4534","SYSTEMATIC_NAME":"M31022","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4534","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4534 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR10394_5P","SYSTEMATIC_NAME":"M31023","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-10394-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-10394-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR2054","SYSTEMATIC_NAME":"M31024","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-2054","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-2054 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR138_2_3P","SYSTEMATIC_NAME":"M31025","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-138-2-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-138-2-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7162_3P","SYSTEMATIC_NAME":"M31026","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7162-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7162-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4738_3P","SYSTEMATIC_NAME":"M31027","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4738-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4738-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6808_5P","SYSTEMATIC_NAME":"M31028","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6808-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6808-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR513C_5P","SYSTEMATIC_NAME":"M31029","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-513c-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-513c-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6815_3P","SYSTEMATIC_NAME":"M31030","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6815-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6815-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4704_3P","SYSTEMATIC_NAME":"M31031","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4704-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4704-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7157_3P","SYSTEMATIC_NAME":"M31032","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7157-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7157-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6893_5P","SYSTEMATIC_NAME":"M31033","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6893-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6893-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3158_5P","SYSTEMATIC_NAME":"M31034","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3158-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3158-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6715B_5P","SYSTEMATIC_NAME":"M31035","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6715b-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6715b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR603","SYSTEMATIC_NAME":"M31036","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-603","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-603 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR520G_3P_MIR520H","SYSTEMATIC_NAME":"M31037","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-520g-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-520g-3p, hsa-miR-520h in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR421","SYSTEMATIC_NAME":"M31038","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-421","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-421 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR583","SYSTEMATIC_NAME":"M31039","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-583","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-583 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR486_3P","SYSTEMATIC_NAME":"M31040","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-486-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-486-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6511A_5P","SYSTEMATIC_NAME":"M31041","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6511a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6511a-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4671_3P","SYSTEMATIC_NAME":"M31042","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4671-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4671-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548AO_5P_MIR548AX","SYSTEMATIC_NAME":"M31043","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548ao-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548ao-5p, hsa-miR-548ax in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR143_3P_MIR4770","SYSTEMATIC_NAME":"M31044","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-143-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-143-3p, hsa-miR-4770 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6737_3P","SYSTEMATIC_NAME":"M31045","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6737-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6737-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4709_3P","SYSTEMATIC_NAME":"M31046","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4709-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4709-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR297","SYSTEMATIC_NAME":"M31047","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-297","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-297 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR940","SYSTEMATIC_NAME":"M31048","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-940","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-940 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7844_5P","SYSTEMATIC_NAME":"M31049","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7844-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7844-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR2110","SYSTEMATIC_NAME":"M31050","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-2110","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-2110 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7110_5P","SYSTEMATIC_NAME":"M31051","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7110-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7110-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR138_5P","SYSTEMATIC_NAME":"M31052","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-138-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-138-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4514","SYSTEMATIC_NAME":"M31053","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4514","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4514 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4270","SYSTEMATIC_NAME":"M31054","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4270","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4270 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4478","SYSTEMATIC_NAME":"M31055","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4478","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4478 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1208","SYSTEMATIC_NAME":"M31056","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1208","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1208 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5189_5P","SYSTEMATIC_NAME":"M31057","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5189-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5189-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5689","SYSTEMATIC_NAME":"M31058","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5689","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5689 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR12119","SYSTEMATIC_NAME":"M31059","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-12119","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-12119 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR150_5P","SYSTEMATIC_NAME":"M31060","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-150-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-150-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR8087","SYSTEMATIC_NAME":"M31061","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-8087","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-8087 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1205","SYSTEMATIC_NAME":"M31062","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1205","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1205 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1915_3P","SYSTEMATIC_NAME":"M31063","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1915-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1915-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR9500","SYSTEMATIC_NAME":"M31064","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-9500","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-9500 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3925_3P","SYSTEMATIC_NAME":"M31065","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3925-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3925-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4269","SYSTEMATIC_NAME":"M31066","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4269","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4269 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR224_5P","SYSTEMATIC_NAME":"M31067","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-224-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-224-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1910_3P","SYSTEMATIC_NAME":"M31068","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1910-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1910-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4649_3P","SYSTEMATIC_NAME":"M31069","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4649-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4649-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4255","SYSTEMATIC_NAME":"M31070","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4255","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4255 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6128","SYSTEMATIC_NAME":"M31071","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6128","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6128 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR544B","SYSTEMATIC_NAME":"M31072","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-544b","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-544b in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6770_5P","SYSTEMATIC_NAME":"M31073","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6770-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6770-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3064_3P","SYSTEMATIC_NAME":"M31074","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3064-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3064-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3926","SYSTEMATIC_NAME":"M31075","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3926","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3926 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4288","SYSTEMATIC_NAME":"M31076","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4288","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4288 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR520F_3P","SYSTEMATIC_NAME":"M31077","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-520f-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-520f-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR299_5P","SYSTEMATIC_NAME":"M31078","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-299-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-299-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6071","SYSTEMATIC_NAME":"M31079","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6071","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6071 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5197_3P","SYSTEMATIC_NAME":"M31080","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5197-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5197-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3175","SYSTEMATIC_NAME":"M31081","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3175","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3175 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR499B_3P","SYSTEMATIC_NAME":"M31082","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-499b-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-499b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR646","SYSTEMATIC_NAME":"M31083","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-646","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-646 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548BA","SYSTEMATIC_NAME":"M31084","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548ba","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548ba in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548AI_MIR570_5P","SYSTEMATIC_NAME":"M31085","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548ai","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548ai, hsa-miR-570-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6828_5P","SYSTEMATIC_NAME":"M31086","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6828-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6828-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR499A_3P","SYSTEMATIC_NAME":"M31087","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-499a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-499a-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR676_5P","SYSTEMATIC_NAME":"M31088","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-676-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-676-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR8070","SYSTEMATIC_NAME":"M31089","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-8070","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-8070 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1279","SYSTEMATIC_NAME":"M31090","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1279","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1279 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7113_5P","SYSTEMATIC_NAME":"M31091","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7113-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7113-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6779_5P","SYSTEMATIC_NAME":"M31092","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6779-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6779-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6842_5P","SYSTEMATIC_NAME":"M31093","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6842-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6842-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548AG","SYSTEMATIC_NAME":"M31094","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548ag","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548ag in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6887_3P","SYSTEMATIC_NAME":"M31095","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6887-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6887-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4275","SYSTEMATIC_NAME":"M31096","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4275","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4275 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR2681_5P","SYSTEMATIC_NAME":"M31097","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-2681-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-2681-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1343_3P","SYSTEMATIC_NAME":"M31098","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1343-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1343-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5193","SYSTEMATIC_NAME":"M31099","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5193","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5193 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR19A_5P","SYSTEMATIC_NAME":"M31100","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-19a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-19a-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5682","SYSTEMATIC_NAME":"M31101","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5682","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5682 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7162_5P","SYSTEMATIC_NAME":"M31102","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7162-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7162-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5571_5P","SYSTEMATIC_NAME":"M31103","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5571-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5571-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR19B_1_5P_MIR19B_2_5P","SYSTEMATIC_NAME":"M31104","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-19b-1-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-19b-1-5p, hsa-miR-19b-2-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4443","SYSTEMATIC_NAME":"M31105","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4443","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4443 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR511_3P","SYSTEMATIC_NAME":"M31106","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-511-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-511-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR330_5P","SYSTEMATIC_NAME":"M31107","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-330-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-330-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5589_3P","SYSTEMATIC_NAME":"M31108","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5589-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5589-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5581_3P","SYSTEMATIC_NAME":"M31109","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5581-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5581-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR501_5P","SYSTEMATIC_NAME":"M31110","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-501-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-501-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR516A_3P_MIR516B_3P","SYSTEMATIC_NAME":"M31111","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-516a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-516a-3p, hsa-miR-516b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR2467_3P","SYSTEMATIC_NAME":"M31112","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-2467-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-2467-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3977","SYSTEMATIC_NAME":"M31113","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3977","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3977 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4784","SYSTEMATIC_NAME":"M31114","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4784","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4784 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR498_3P","SYSTEMATIC_NAME":"M31115","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-498-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-498-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR142_3P","SYSTEMATIC_NAME":"M31116","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-142-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-142-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR371A_5P","SYSTEMATIC_NAME":"M31117","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-371a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-371a-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7114_5P","SYSTEMATIC_NAME":"M31118","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7114-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7114-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3191_5P","SYSTEMATIC_NAME":"M31119","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3191-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3191-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR29B_1_5P","SYSTEMATIC_NAME":"M31120","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-29b-1-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-29b-1-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3150B_3P","SYSTEMATIC_NAME":"M31121","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3150b-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3150b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR30B_3P","SYSTEMATIC_NAME":"M31122","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-30b-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-30b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR513B_3P","SYSTEMATIC_NAME":"M31123","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-513b-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-513b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR509_5P","SYSTEMATIC_NAME":"M31124","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-509-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-509-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR223_5P","SYSTEMATIC_NAME":"M31125","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-223-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-223-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5009_3P","SYSTEMATIC_NAME":"M31126","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5009-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5009-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR103A_2_5P","SYSTEMATIC_NAME":"M31127","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-103a-2-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-103a-2-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4786_3P","SYSTEMATIC_NAME":"M31128","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4786-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4786-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3689A_3P_MIR3689B_3P_MIR3689C","SYSTEMATIC_NAME":"M31129","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3689a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3689a-3p, hsa-miR-3689b-3p, hsa-miR-3689c in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4426","SYSTEMATIC_NAME":"M31130","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4426","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4426 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR222_5P","SYSTEMATIC_NAME":"M31131","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-222-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-222-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR22_5P","SYSTEMATIC_NAME":"M31132","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-22-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-22-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548U","SYSTEMATIC_NAME":"M31133","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548u","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548u in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4762_5P","SYSTEMATIC_NAME":"M31134","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4762-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4762-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4451","SYSTEMATIC_NAME":"M31135","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4451","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4451 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4679","SYSTEMATIC_NAME":"M31136","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4679","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4679 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3611","SYSTEMATIC_NAME":"M31137","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3611","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3611 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR12132","SYSTEMATIC_NAME":"M31138","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-12132","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-12132 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6761_5P","SYSTEMATIC_NAME":"M31139","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6761-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6761-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR509_3_5P","SYSTEMATIC_NAME":"M31140","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-509-3-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-509-3-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR451B","SYSTEMATIC_NAME":"M31141","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-451b","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-451b in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR922","SYSTEMATIC_NAME":"M31142","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-922","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-922 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR619_5P","SYSTEMATIC_NAME":"M31143","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-619-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-619-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4753_5P","SYSTEMATIC_NAME":"M31144","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4753-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4753-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR103A_1_5P","SYSTEMATIC_NAME":"M31145","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-103a-1-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-103a-1-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5681A","SYSTEMATIC_NAME":"M31146","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5681a","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5681a in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4452","SYSTEMATIC_NAME":"M31147","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4452","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4452 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR939_3P","SYSTEMATIC_NAME":"M31148","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-939-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-939-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1184","SYSTEMATIC_NAME":"M31149","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1184","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1184 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR500A_5P","SYSTEMATIC_NAME":"M31150","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-500a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-500a-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR30C_2_3P","SYSTEMATIC_NAME":"M31151","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-30c-2-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-30c-2-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4504","SYSTEMATIC_NAME":"M31152","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4504","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4504 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR374B_3P","SYSTEMATIC_NAME":"M31153","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-374b-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-374b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3925_5P","SYSTEMATIC_NAME":"M31154","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3925-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3925-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1245B_3P","SYSTEMATIC_NAME":"M31155","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1245b-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1245b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR561_5P","SYSTEMATIC_NAME":"M31156","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-561-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-561-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR762","SYSTEMATIC_NAME":"M31157","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-762","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-762 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR376C_3P","SYSTEMATIC_NAME":"M31158","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-376c-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-376c-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4666B","SYSTEMATIC_NAME":"M31159","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4666b","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4666b in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6807_3P","SYSTEMATIC_NAME":"M31160","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6807-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6807-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6740_3P","SYSTEMATIC_NAME":"M31161","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6740-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6740-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6792_5P","SYSTEMATIC_NAME":"M31162","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6792-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6792-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4667_5P","SYSTEMATIC_NAME":"M31163","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4667-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4667-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6795_5P","SYSTEMATIC_NAME":"M31164","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6795-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6795-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR936","SYSTEMATIC_NAME":"M31165","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-936","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-936 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4511","SYSTEMATIC_NAME":"M31166","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4511","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4511 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR767_5P","SYSTEMATIC_NAME":"M31167","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-767-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-767-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR504_3P","SYSTEMATIC_NAME":"M31168","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-504-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-504-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR374A_3P","SYSTEMATIC_NAME":"M31169","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-374a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-374a-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR188_3P","SYSTEMATIC_NAME":"M31170","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-188-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-188-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548V","SYSTEMATIC_NAME":"M31171","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548v","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548v in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6887_5P","SYSTEMATIC_NAME":"M31172","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6887-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6887-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5001_5P","SYSTEMATIC_NAME":"M31173","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5001-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5001-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6516_3P","SYSTEMATIC_NAME":"M31174","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6516-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6516-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6839_3P","SYSTEMATIC_NAME":"M31175","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6839-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6839-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6780A_3P","SYSTEMATIC_NAME":"M31176","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6780a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6780a-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3192_5P","SYSTEMATIC_NAME":"M31177","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3192-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3192-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR423_5P","SYSTEMATIC_NAME":"M31178","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-423-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-423-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7156_5P","SYSTEMATIC_NAME":"M31179","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7156-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7156-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3667_3P","SYSTEMATIC_NAME":"M31180","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3667-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3667-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR216A_5P","SYSTEMATIC_NAME":"M31181","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-216a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-216a-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4665_5P","SYSTEMATIC_NAME":"M31182","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4665-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4665-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6513_3P","SYSTEMATIC_NAME":"M31183","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6513-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6513-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR185_3P","SYSTEMATIC_NAME":"M31184","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-185-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-185-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4646_5P","SYSTEMATIC_NAME":"M31185","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4646-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4646-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4424","SYSTEMATIC_NAME":"M31186","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4424","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4424 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR2116_5P","SYSTEMATIC_NAME":"M31187","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-2116-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-2116-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4776_3P","SYSTEMATIC_NAME":"M31188","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4776-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4776-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3664_3P","SYSTEMATIC_NAME":"M31189","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3664-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3664-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR199A_5P","SYSTEMATIC_NAME":"M31190","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-199a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-199a-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR30C_1_3P","SYSTEMATIC_NAME":"M31191","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-30c-1-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-30c-1-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6847_5P","SYSTEMATIC_NAME":"M31192","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6847-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6847-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6715A_3P","SYSTEMATIC_NAME":"M31193","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6715a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6715a-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5584_3P","SYSTEMATIC_NAME":"M31194","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5584-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5584-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR199B_5P","SYSTEMATIC_NAME":"M31195","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-199b-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-199b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR10393_5P","SYSTEMATIC_NAME":"M31196","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-10393-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-10393-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR642A_3P_MIR642B_3P","SYSTEMATIC_NAME":"M31197","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-642a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-642a-3p, hsa-miR-642b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR122B_3P","SYSTEMATIC_NAME":"M31198","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-122b-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-122b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3652","SYSTEMATIC_NAME":"M31199","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3652","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3652 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3187_5P","SYSTEMATIC_NAME":"M31200","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3187-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3187-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR661","SYSTEMATIC_NAME":"M31201","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-661","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-661 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4499","SYSTEMATIC_NAME":"M31202","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4499","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4499 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR186_3P","SYSTEMATIC_NAME":"M31203","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-186-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-186-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548AU_3P","SYSTEMATIC_NAME":"M31204","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548au-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548au-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4481","SYSTEMATIC_NAME":"M31205","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4481","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4481 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR21_5P","SYSTEMATIC_NAME":"M31206","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-21-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-21-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6752_3P","SYSTEMATIC_NAME":"M31207","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6752-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6752-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR10395_3P","SYSTEMATIC_NAME":"M31208","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-10395-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-10395-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3177_5P","SYSTEMATIC_NAME":"M31209","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3177-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3177-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR21_3P","SYSTEMATIC_NAME":"M31210","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-21-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-21-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR8089","SYSTEMATIC_NAME":"M31211","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-8089","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-8089 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR876_5P","SYSTEMATIC_NAME":"M31212","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-876-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-876-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4766_3P","SYSTEMATIC_NAME":"M31213","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4766-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4766-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR520A_5P","SYSTEMATIC_NAME":"M31214","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-520a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-520a-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6788_5P","SYSTEMATIC_NAME":"M31215","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6788-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6788-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3920","SYSTEMATIC_NAME":"M31216","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3920","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3920 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4682","SYSTEMATIC_NAME":"M31217","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4682","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4682 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1253","SYSTEMATIC_NAME":"M31218","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1253","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1253 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR633","SYSTEMATIC_NAME":"M31219","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-633","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-633 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5008_3P","SYSTEMATIC_NAME":"M31220","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5008-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5008-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4436B_5P","SYSTEMATIC_NAME":"M31221","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4436b-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4436b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR496","SYSTEMATIC_NAME":"M31222","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-496","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-496 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6840_3P","SYSTEMATIC_NAME":"M31223","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6840-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6840-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR556_3P","SYSTEMATIC_NAME":"M31224","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-556-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-556-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR2276_3P","SYSTEMATIC_NAME":"M31225","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-2276-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-2276-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR766_3P","SYSTEMATIC_NAME":"M31226","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-766-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-766-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR12128","SYSTEMATIC_NAME":"M31227","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-12128","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-12128 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR892A","SYSTEMATIC_NAME":"M31228","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-892a","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-892a in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR525_5P","SYSTEMATIC_NAME":"M31229","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-525-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-525-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6509_3P","SYSTEMATIC_NAME":"M31230","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6509-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6509-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1251_3P","SYSTEMATIC_NAME":"M31231","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1251-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1251-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR329_5P","SYSTEMATIC_NAME":"M31232","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-329-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-329-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR9851_3P","SYSTEMATIC_NAME":"M31233","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-9851-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-9851-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR150_3P","SYSTEMATIC_NAME":"M31234","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-150-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-150-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR2117","SYSTEMATIC_NAME":"M31235","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-2117","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-2117 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR891B","SYSTEMATIC_NAME":"M31236","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-891b","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-891b in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4779","SYSTEMATIC_NAME":"M31237","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4779","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4779 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4430","SYSTEMATIC_NAME":"M31238","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4430","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4430 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR190A_5P","SYSTEMATIC_NAME":"M31239","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-190a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-190a-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3606_5P","SYSTEMATIC_NAME":"M31240","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3606-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3606-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR433_3P","SYSTEMATIC_NAME":"M31241","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-433-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-433-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4635","SYSTEMATIC_NAME":"M31242","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4635","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4635 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4677_3P","SYSTEMATIC_NAME":"M31243","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4677-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4677-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6728_3P","SYSTEMATIC_NAME":"M31244","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6728-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6728-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4318","SYSTEMATIC_NAME":"M31245","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4318","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4318 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6818_3P","SYSTEMATIC_NAME":"M31246","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6818-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6818-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR376A_3P_MIR376B_3P","SYSTEMATIC_NAME":"M31247","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-376a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-376a-3p, hsa-miR-376b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3692_5P","SYSTEMATIC_NAME":"M31248","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3692-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3692-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6860","SYSTEMATIC_NAME":"M31249","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6860","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6860 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1909_3P","SYSTEMATIC_NAME":"M31250","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1909-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1909-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6088","SYSTEMATIC_NAME":"M31251","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6088","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6088 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR542_3P","SYSTEMATIC_NAME":"M31252","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-542-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-542-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4670_3P","SYSTEMATIC_NAME":"M31253","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4670-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4670-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6512_5P","SYSTEMATIC_NAME":"M31254","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6512-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6512-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4716_5P","SYSTEMATIC_NAME":"M31255","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4716-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4716-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR190B_5P","SYSTEMATIC_NAME":"M31256","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-190b-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-190b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR190B_3P","SYSTEMATIC_NAME":"M31257","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-190b-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-190b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6799_5P","SYSTEMATIC_NAME":"M31258","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6799-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6799-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR204_3P","SYSTEMATIC_NAME":"M31259","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-204-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-204-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6852_3P","SYSTEMATIC_NAME":"M31260","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6852-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6852-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR653_3P","SYSTEMATIC_NAME":"M31261","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-653-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-653-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4724_5P","SYSTEMATIC_NAME":"M31262","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4724-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4724-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5006_5P","SYSTEMATIC_NAME":"M31263","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5006-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5006-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6752_5P","SYSTEMATIC_NAME":"M31264","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6752-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6752-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4640_5P","SYSTEMATIC_NAME":"M31265","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4640-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4640-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6791_5P","SYSTEMATIC_NAME":"M31266","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6791-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6791-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6733_3P","SYSTEMATIC_NAME":"M31267","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6733-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6733-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4705","SYSTEMATIC_NAME":"M31268","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4705","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4705 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5001_3P","SYSTEMATIC_NAME":"M31269","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5001-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5001-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1237_3P","SYSTEMATIC_NAME":"M31270","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1237-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1237-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3128","SYSTEMATIC_NAME":"M31271","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3128","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3128 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3689A_5P_MIR3689B_5P_MIR3689E_MIR3689F","SYSTEMATIC_NAME":"M31272","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3689a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3689a-5p, hsa-miR-3689b-5p, hsa-miR-3689e, hsa-miR-3689f in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6719_3P","SYSTEMATIC_NAME":"M31273","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6719-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6719-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4673","SYSTEMATIC_NAME":"M31274","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4673","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4673 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4722_5P","SYSTEMATIC_NAME":"M31275","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4722-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4722-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5691_MIR6805_3P","SYSTEMATIC_NAME":"M31276","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5691","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5691, hsa-miR-6805-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6809_5P","SYSTEMATIC_NAME":"M31277","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6809-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6809-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6783_5P","SYSTEMATIC_NAME":"M31278","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6783-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6783-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6501_3P","SYSTEMATIC_NAME":"M31279","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6501-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6501-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6884_5P","SYSTEMATIC_NAME":"M31280","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6884-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6884-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6716_5P","SYSTEMATIC_NAME":"M31281","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6716-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6716-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6730_5P","SYSTEMATIC_NAME":"M31282","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6730-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6730-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR491_3P","SYSTEMATIC_NAME":"M31283","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-491-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-491-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR612","SYSTEMATIC_NAME":"M31284","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-612","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-612 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3129_5P","SYSTEMATIC_NAME":"M31285","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3129-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3129-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5579_3P","SYSTEMATIC_NAME":"M31286","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5579-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5579-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4653_5P","SYSTEMATIC_NAME":"M31287","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4653-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4653-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR17_3P","SYSTEMATIC_NAME":"M31288","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-17-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-17-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR33A_5P_MIR33B_5P","SYSTEMATIC_NAME":"M31289","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-33a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-33a-5p, hsa-miR-33b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4684_3P","SYSTEMATIC_NAME":"M31290","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4684-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4684-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR12129","SYSTEMATIC_NAME":"M31291","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-12129","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-12129 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR623","SYSTEMATIC_NAME":"M31292","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-623","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-623 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR935","SYSTEMATIC_NAME":"M31293","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-935","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-935 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR199A_3P_MIR199B_3P","SYSTEMATIC_NAME":"M31294","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-199a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-199a-3p, hsa-miR-199b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4456","SYSTEMATIC_NAME":"M31295","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4456","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4456 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3149","SYSTEMATIC_NAME":"M31296","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3149","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3149 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4797_5P","SYSTEMATIC_NAME":"M31297","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4797-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4797-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR342_3P","SYSTEMATIC_NAME":"M31298","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-342-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-342-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR8076","SYSTEMATIC_NAME":"M31299","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-8076","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-8076 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1207_3P","SYSTEMATIC_NAME":"M31300","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1207-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1207-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3921","SYSTEMATIC_NAME":"M31301","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3921","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3921 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1294","SYSTEMATIC_NAME":"M31302","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1294","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1294 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR125B_2_3P","SYSTEMATIC_NAME":"M31303","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-125b-2-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-125b-2-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR708_3P","SYSTEMATIC_NAME":"M31304","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-708-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-708-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3168","SYSTEMATIC_NAME":"M31305","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3168","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3168 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR197_3P","SYSTEMATIC_NAME":"M31306","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-197-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-197-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5590_5P","SYSTEMATIC_NAME":"M31307","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5590-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5590-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3678_3P","SYSTEMATIC_NAME":"M31308","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3678-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3678-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7111_3P","SYSTEMATIC_NAME":"M31309","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7111-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7111-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR2115_5P","SYSTEMATIC_NAME":"M31310","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-2115-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-2115-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR8082","SYSTEMATIC_NAME":"M31311","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-8082","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-8082 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR605_5P","SYSTEMATIC_NAME":"M31312","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-605-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-605-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3184_5P","SYSTEMATIC_NAME":"M31313","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3184-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3184-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4418","SYSTEMATIC_NAME":"M31314","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4418","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4418 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR9986","SYSTEMATIC_NAME":"M31315","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-9986","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-9986 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR567","SYSTEMATIC_NAME":"M31316","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-567","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-567 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4530","SYSTEMATIC_NAME":"M31317","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4530","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4530 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4292","SYSTEMATIC_NAME":"M31318","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4292","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4292 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR337_3P","SYSTEMATIC_NAME":"M31319","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-337-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-337-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4755_3P","SYSTEMATIC_NAME":"M31320","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4755-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4755-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR593_3P","SYSTEMATIC_NAME":"M31321","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-593-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-593-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR516B_5P","SYSTEMATIC_NAME":"M31322","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-516b-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-516b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6079","SYSTEMATIC_NAME":"M31323","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6079","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6079 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR34B_3P","SYSTEMATIC_NAME":"M31324","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-34b-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-34b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR760","SYSTEMATIC_NAME":"M31325","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-760","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-760 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3976","SYSTEMATIC_NAME":"M31326","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3976","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3976 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR181A_2_3P","SYSTEMATIC_NAME":"M31327","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-181a-2-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-181a-2-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6132","SYSTEMATIC_NAME":"M31328","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6132","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6132 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR593_5P","SYSTEMATIC_NAME":"M31329","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-593-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-593-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1825","SYSTEMATIC_NAME":"M31330","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1825","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1825 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR450A_2_3P","SYSTEMATIC_NAME":"M31331","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-450a-2-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-450a-2-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1321","SYSTEMATIC_NAME":"M31332","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1321","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1321 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6738_3P","SYSTEMATIC_NAME":"M31333","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6738-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6738-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR223_3P","SYSTEMATIC_NAME":"M31334","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-223-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-223-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4316","SYSTEMATIC_NAME":"M31335","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4316","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4316 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6845_3P","SYSTEMATIC_NAME":"M31336","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6845-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6845-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4660","SYSTEMATIC_NAME":"M31337","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4660","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4660 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR219A_5P","SYSTEMATIC_NAME":"M31338","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-219a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-219a-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6766_3P","SYSTEMATIC_NAME":"M31339","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6766-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6766-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR888_3P","SYSTEMATIC_NAME":"M31340","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-888-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-888-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4782_3P","SYSTEMATIC_NAME":"M31341","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4782-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4782-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4691_3P","SYSTEMATIC_NAME":"M31342","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4691-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4691-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4739","SYSTEMATIC_NAME":"M31343","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4739","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4739 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4701_5P","SYSTEMATIC_NAME":"M31344","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4701-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4701-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR588","SYSTEMATIC_NAME":"M31345","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-588","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-588 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3688_5P","SYSTEMATIC_NAME":"M31346","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3688-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3688-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3674","SYSTEMATIC_NAME":"M31347","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3674","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3674 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1913","SYSTEMATIC_NAME":"M31348","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1913","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1913 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6165","SYSTEMATIC_NAME":"M31349","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6165","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6165 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5190","SYSTEMATIC_NAME":"M31350","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5190","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5190 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6836_5P","SYSTEMATIC_NAME":"M31351","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6836-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6836-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4428","SYSTEMATIC_NAME":"M31352","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4428","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4428 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6720_5P","SYSTEMATIC_NAME":"M31353","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6720-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6720-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR148A_5P","SYSTEMATIC_NAME":"M31354","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-148a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-148a-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4257","SYSTEMATIC_NAME":"M31355","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4257","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4257 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR31_5P","SYSTEMATIC_NAME":"M31356","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-31-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-31-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR671_5P","SYSTEMATIC_NAME":"M31357","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-671-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-671-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR485_5P","SYSTEMATIC_NAME":"M31358","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-485-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-485-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3074_5P","SYSTEMATIC_NAME":"M31359","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3074-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3074-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3085_3P","SYSTEMATIC_NAME":"M31360","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3085-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3085-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4756_5P","SYSTEMATIC_NAME":"M31361","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4756-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4756-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3064_5P","SYSTEMATIC_NAME":"M31362","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3064-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3064-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6792_3P","SYSTEMATIC_NAME":"M31363","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6792-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6792-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6512_3P","SYSTEMATIC_NAME":"M31364","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6512-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6512-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR758_3P","SYSTEMATIC_NAME":"M31365","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-758-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-758-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1304_5P","SYSTEMATIC_NAME":"M31366","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1304-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1304-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR8080","SYSTEMATIC_NAME":"M31367","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-8080","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-8080 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR452_3P","SYSTEMATIC_NAME":"M31368","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-452-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-452-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3190_3P","SYSTEMATIC_NAME":"M31369","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3190-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3190-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR651_5P","SYSTEMATIC_NAME":"M31370","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-651-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-651-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4277","SYSTEMATIC_NAME":"M31371","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4277","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4277 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1179","SYSTEMATIC_NAME":"M31372","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1179","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1179 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR600","SYSTEMATIC_NAME":"M31373","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-600","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-600 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6715B_3P","SYSTEMATIC_NAME":"M31374","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6715b-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6715b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1248","SYSTEMATIC_NAME":"M31375","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1248","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1248 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR93_3P","SYSTEMATIC_NAME":"M31376","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-93-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-93-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6842_3P","SYSTEMATIC_NAME":"M31377","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6842-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6842-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3663_3P","SYSTEMATIC_NAME":"M31378","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3663-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3663-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4685_3P","SYSTEMATIC_NAME":"M31379","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4685-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4685-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4645_3P","SYSTEMATIC_NAME":"M31380","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4645-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4645-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5585_5P","SYSTEMATIC_NAME":"M31381","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5585-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5585-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5007_3P","SYSTEMATIC_NAME":"M31382","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5007-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5007-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR2355_5P","SYSTEMATIC_NAME":"M31383","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-2355-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-2355-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4693_5P","SYSTEMATIC_NAME":"M31384","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4693-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4693-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6891_5P","SYSTEMATIC_NAME":"M31385","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6891-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6891-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4287","SYSTEMATIC_NAME":"M31386","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4287","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4287 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4720_3P","SYSTEMATIC_NAME":"M31387","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4720-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4720-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR216B_3P","SYSTEMATIC_NAME":"M31388","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-216b-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-216b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR143_5P","SYSTEMATIC_NAME":"M31389","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-143-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-143-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR215_3P","SYSTEMATIC_NAME":"M31390","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-215-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-215-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6760_5P","SYSTEMATIC_NAME":"M31391","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6760-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6760-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6134","SYSTEMATIC_NAME":"M31392","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6134","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6134 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4777_5P","SYSTEMATIC_NAME":"M31393","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4777-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4777-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR140_3P","SYSTEMATIC_NAME":"M31394","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-140-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-140-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5004_3P","SYSTEMATIC_NAME":"M31395","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5004-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5004-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR887_5P","SYSTEMATIC_NAME":"M31396","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-887-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-887-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3179","SYSTEMATIC_NAME":"M31397","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3179","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3179 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1264","SYSTEMATIC_NAME":"M31398","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1264","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1264 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6504_5P","SYSTEMATIC_NAME":"M31399","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6504-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6504-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1343_5P","SYSTEMATIC_NAME":"M31400","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1343-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1343-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3154","SYSTEMATIC_NAME":"M31401","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3154","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3154 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4314","SYSTEMATIC_NAME":"M31402","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4314","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4314 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1304_3P","SYSTEMATIC_NAME":"M31403","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1304-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1304-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4302","SYSTEMATIC_NAME":"M31404","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4302","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4302 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6768_3P","SYSTEMATIC_NAME":"M31405","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6768-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6768-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR491_5P","SYSTEMATIC_NAME":"M31406","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-491-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-491-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1324","SYSTEMATIC_NAME":"M31407","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1324","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1324 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR487A_3P","SYSTEMATIC_NAME":"M31408","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-487a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-487a-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR8062","SYSTEMATIC_NAME":"M31409","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-8062","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-8062 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4691_5P","SYSTEMATIC_NAME":"M31410","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4691-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4691-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4520_2_3P","SYSTEMATIC_NAME":"M31411","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4520-2-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4520-2-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR505_3P","SYSTEMATIC_NAME":"M31412","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-505-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-505-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6839_5P","SYSTEMATIC_NAME":"M31413","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6839-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6839-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4650_3P","SYSTEMATIC_NAME":"M31414","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4650-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4650-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR154_3P","SYSTEMATIC_NAME":"M31415","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-154-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-154-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1206","SYSTEMATIC_NAME":"M31416","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1206","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1206 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4728_3P","SYSTEMATIC_NAME":"M31417","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4728-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4728-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR653_5P","SYSTEMATIC_NAME":"M31418","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-653-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-653-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6749_3P","SYSTEMATIC_NAME":"M31419","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6749-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6749-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR802","SYSTEMATIC_NAME":"M31420","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-802","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-802 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3167","SYSTEMATIC_NAME":"M31421","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3167","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3167 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR590_5P","SYSTEMATIC_NAME":"M31422","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-590-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-590-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3129_3P","SYSTEMATIC_NAME":"M31423","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3129-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3129-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR149_5P","SYSTEMATIC_NAME":"M31424","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-149-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-149-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6499_3P","SYSTEMATIC_NAME":"M31425","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6499-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6499-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4472","SYSTEMATIC_NAME":"M31426","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4472","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4472 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4457","SYSTEMATIC_NAME":"M31427","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4457","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4457 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4308","SYSTEMATIC_NAME":"M31428","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4308","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4308 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7153_5P","SYSTEMATIC_NAME":"M31429","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7153-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7153-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4667_3P","SYSTEMATIC_NAME":"M31430","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4667-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4667-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3140_5P","SYSTEMATIC_NAME":"M31431","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3140-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3140-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6734_3P","SYSTEMATIC_NAME":"M31432","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6734-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6734-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR939_5P","SYSTEMATIC_NAME":"M31433","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-939-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-939-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR665","SYSTEMATIC_NAME":"M31434","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-665","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-665 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1301_3P_MIR5047","SYSTEMATIC_NAME":"M31435","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1301-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1301-3p, hsa-miR-5047 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR889_5P","SYSTEMATIC_NAME":"M31436","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-889-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-889-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1257","SYSTEMATIC_NAME":"M31437","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1257","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1257 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6833_5P","SYSTEMATIC_NAME":"M31438","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6833-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6833-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4699_5P","SYSTEMATIC_NAME":"M31439","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4699-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4699-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR9718","SYSTEMATIC_NAME":"M31440","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-9718","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-9718 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5088_3P","SYSTEMATIC_NAME":"M31441","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5088-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5088-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR660_3P","SYSTEMATIC_NAME":"M31442","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-660-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-660-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR196A_3P","SYSTEMATIC_NAME":"M31443","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-196a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-196a-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR384","SYSTEMATIC_NAME":"M31444","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-384","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-384 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR629_5P","SYSTEMATIC_NAME":"M31445","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-629-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-629-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR136_5P","SYSTEMATIC_NAME":"M31446","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-136-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-136-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6837_5P","SYSTEMATIC_NAME":"M31447","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6837-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6837-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5697","SYSTEMATIC_NAME":"M31448","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5697","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5697 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR133A_5P","SYSTEMATIC_NAME":"M31449","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-133a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-133a-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3157_5P","SYSTEMATIC_NAME":"M31450","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3157-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3157-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7850_5P","SYSTEMATIC_NAME":"M31451","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7850-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7850-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR146A_5P","SYSTEMATIC_NAME":"M31452","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-146a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-146a-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6873_5P","SYSTEMATIC_NAME":"M31453","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6873-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6873-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4455","SYSTEMATIC_NAME":"M31454","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4455","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4455 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4756_3P","SYSTEMATIC_NAME":"M31455","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4756-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4756-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR146B_5P","SYSTEMATIC_NAME":"M31456","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-146b-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-146b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR326","SYSTEMATIC_NAME":"M31457","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-326","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-326 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR890","SYSTEMATIC_NAME":"M31458","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-890","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-890 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5583_5P","SYSTEMATIC_NAME":"M31459","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5583-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5583-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4273","SYSTEMATIC_NAME":"M31460","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4273","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4273 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR338_3P","SYSTEMATIC_NAME":"M31461","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-338-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-338-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR124_5P","SYSTEMATIC_NAME":"M31462","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-124-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-124-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR200A_5P","SYSTEMATIC_NAME":"M31463","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-200a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-200a-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR200B_5P","SYSTEMATIC_NAME":"M31464","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-200b-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-200b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR378A_5P","SYSTEMATIC_NAME":"M31465","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-378a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-378a-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6081","SYSTEMATIC_NAME":"M31466","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6081","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6081 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3908","SYSTEMATIC_NAME":"M31467","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3908","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3908 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR942_3P","SYSTEMATIC_NAME":"M31468","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-942-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-942-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6776_5P","SYSTEMATIC_NAME":"M31469","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6776-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6776-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR767_3P","SYSTEMATIC_NAME":"M31470","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-767-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-767-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1537_5P","SYSTEMATIC_NAME":"M31471","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1537-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1537-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6818_5P","SYSTEMATIC_NAME":"M31472","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6818-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6818-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR12125","SYSTEMATIC_NAME":"M31473","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-12125","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-12125 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR217_3P","SYSTEMATIC_NAME":"M31474","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-217-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-217-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR335_5P","SYSTEMATIC_NAME":"M31475","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-335-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-335-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR526B_5P","SYSTEMATIC_NAME":"M31476","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-526b-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-526b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR585_5P","SYSTEMATIC_NAME":"M31477","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-585-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-585-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4685_5P","SYSTEMATIC_NAME":"M31478","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4685-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4685-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548S","SYSTEMATIC_NAME":"M31479","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548s","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548s in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5089_5P","SYSTEMATIC_NAME":"M31480","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5089-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5089-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR361_3P","SYSTEMATIC_NAME":"M31481","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-361-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-361-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4709_5P","SYSTEMATIC_NAME":"M31482","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4709-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4709-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR541_5P","SYSTEMATIC_NAME":"M31483","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-541-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-541-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3682_5P","SYSTEMATIC_NAME":"M31484","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3682-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3682-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4436B_3P","SYSTEMATIC_NAME":"M31485","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4436b-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4436b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR449C_5P","SYSTEMATIC_NAME":"M31486","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-449c-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-449c-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR506_5P","SYSTEMATIC_NAME":"M31487","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-506-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-506-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6787_3P","SYSTEMATIC_NAME":"M31488","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6787-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6787-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6814_5P","SYSTEMATIC_NAME":"M31489","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6814-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6814-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR582_3P","SYSTEMATIC_NAME":"M31490","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-582-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-582-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4483","SYSTEMATIC_NAME":"M31491","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4483","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4483 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6754_5P","SYSTEMATIC_NAME":"M31492","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6754-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6754-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR8060","SYSTEMATIC_NAME":"M31493","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-8060","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-8060 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7112_3P","SYSTEMATIC_NAME":"M31494","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7112-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7112-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR18A_5P_MIR18B_5P","SYSTEMATIC_NAME":"M31495","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-18a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-18a-5p, hsa-miR-18b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3164","SYSTEMATIC_NAME":"M31496","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3164","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3164 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR873_5P","SYSTEMATIC_NAME":"M31497","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-873-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-873-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6879_5P","SYSTEMATIC_NAME":"M31498","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6879-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6879-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR34B_5P","SYSTEMATIC_NAME":"M31499","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-34b-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-34b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4796_5P","SYSTEMATIC_NAME":"M31500","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4796-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4796-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR365A_3P_MIR365B_3P","SYSTEMATIC_NAME":"M31501","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-365a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-365a-3p, hsa-miR-365b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5087","SYSTEMATIC_NAME":"M31502","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5087","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5087 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5004_5P","SYSTEMATIC_NAME":"M31503","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5004-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5004-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6757_3P","SYSTEMATIC_NAME":"M31504","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6757-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6757-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4700_3P","SYSTEMATIC_NAME":"M31505","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4700-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4700-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR9851_5P","SYSTEMATIC_NAME":"M31506","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-9851-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-9851-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR487A_5P","SYSTEMATIC_NAME":"M31507","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-487a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-487a-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3668","SYSTEMATIC_NAME":"M31508","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3668","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3668 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6507_3P","SYSTEMATIC_NAME":"M31509","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6507-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6507-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3159","SYSTEMATIC_NAME":"M31510","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3159","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3159 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR487B_5P","SYSTEMATIC_NAME":"M31511","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-487b-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-487b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6889_3P","SYSTEMATIC_NAME":"M31512","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6889-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6889-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3660","SYSTEMATIC_NAME":"M31513","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3660","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3660 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR597_3P","SYSTEMATIC_NAME":"M31514","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-597-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-597-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR891A_3P","SYSTEMATIC_NAME":"M31515","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-891a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-891a-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6867_3P","SYSTEMATIC_NAME":"M31516","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6867-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6867-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR362_3P","SYSTEMATIC_NAME":"M31517","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-362-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-362-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR499B_5P","SYSTEMATIC_NAME":"M31518","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-499b-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-499b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6735_5P","SYSTEMATIC_NAME":"M31519","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6735-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6735-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4526","SYSTEMATIC_NAME":"M31520","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4526","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4526 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR876_3P","SYSTEMATIC_NAME":"M31521","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-876-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-876-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3911","SYSTEMATIC_NAME":"M31522","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3911","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3911 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1183","SYSTEMATIC_NAME":"M31523","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1183","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1183 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4727_5P","SYSTEMATIC_NAME":"M31524","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4727-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4727-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6828_3P","SYSTEMATIC_NAME":"M31525","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6828-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6828-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6758_3P","SYSTEMATIC_NAME":"M31526","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6758-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6758-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5690","SYSTEMATIC_NAME":"M31527","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5690","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5690 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6778_5P","SYSTEMATIC_NAME":"M31528","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6778-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6778-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4999_5P","SYSTEMATIC_NAME":"M31529","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4999-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4999-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6824_3P","SYSTEMATIC_NAME":"M31530","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6824-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6824-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR432_5P","SYSTEMATIC_NAME":"M31531","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-432-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-432-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR155_3P","SYSTEMATIC_NAME":"M31532","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-155-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-155-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6758_5P","SYSTEMATIC_NAME":"M31533","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6758-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6758-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR329_3P","SYSTEMATIC_NAME":"M31534","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-329-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-329-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6764_3P","SYSTEMATIC_NAME":"M31535","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6764-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6764-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1227_5P","SYSTEMATIC_NAME":"M31536","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1227-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1227-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR10A_5P_MIR10B_5P","SYSTEMATIC_NAME":"M31537","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-10a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-10a-5p, hsa-miR-10b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6736_3P","SYSTEMATIC_NAME":"M31538","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6736-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6736-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7849_3P","SYSTEMATIC_NAME":"M31539","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7849-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7849-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4697_3P","SYSTEMATIC_NAME":"M31540","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4697-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4697-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR558","SYSTEMATIC_NAME":"M31541","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-558","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-558 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR2467_5P","SYSTEMATIC_NAME":"M31542","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-2467-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-2467-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR2355_3P","SYSTEMATIC_NAME":"M31543","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-2355-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-2355-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR301B_5P","SYSTEMATIC_NAME":"M31544","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-301b-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-301b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6762_3P","SYSTEMATIC_NAME":"M31545","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6762-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6762-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6747_3P","SYSTEMATIC_NAME":"M31546","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6747-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6747-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6509_5P","SYSTEMATIC_NAME":"M31547","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6509-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6509-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7161_3P","SYSTEMATIC_NAME":"M31548","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7161-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7161-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4736","SYSTEMATIC_NAME":"M31549","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4736","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4736 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6073","SYSTEMATIC_NAME":"M31550","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6073","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6073 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5187_5P","SYSTEMATIC_NAME":"M31551","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5187-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5187-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1233_5P","SYSTEMATIC_NAME":"M31552","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1233-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1233-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR106A_3P","SYSTEMATIC_NAME":"M31553","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-106a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-106a-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3116","SYSTEMATIC_NAME":"M31554","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3116","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3116 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4326","SYSTEMATIC_NAME":"M31555","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4326","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4326 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6820_3P","SYSTEMATIC_NAME":"M31556","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6820-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6820-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5580_5P","SYSTEMATIC_NAME":"M31557","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5580-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5580-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4317","SYSTEMATIC_NAME":"M31558","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4317","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4317 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6513_5P","SYSTEMATIC_NAME":"M31559","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6513-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6513-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4716_3P","SYSTEMATIC_NAME":"M31560","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4716-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4716-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6794_5P","SYSTEMATIC_NAME":"M31561","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6794-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6794-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR654_5P","SYSTEMATIC_NAME":"M31562","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-654-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-654-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3612","SYSTEMATIC_NAME":"M31563","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3612","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3612 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR301A_5P","SYSTEMATIC_NAME":"M31564","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-301a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-301a-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7843_5P","SYSTEMATIC_NAME":"M31565","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7843-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7843-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6506_5P","SYSTEMATIC_NAME":"M31566","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6506-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6506-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5699_5P","SYSTEMATIC_NAME":"M31567","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5699-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5699-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4645_5P","SYSTEMATIC_NAME":"M31568","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4645-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4645-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6799_3P","SYSTEMATIC_NAME":"M31569","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6799-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6799-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6760_3P","SYSTEMATIC_NAME":"M31570","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6760-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6760-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR12113","SYSTEMATIC_NAME":"M31571","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-12113","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-12113 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4264","SYSTEMATIC_NAME":"M31572","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4264","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4264 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1_5P","SYSTEMATIC_NAME":"M31573","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7150","SYSTEMATIC_NAME":"M31574","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7150","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7150 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR650","SYSTEMATIC_NAME":"M31575","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-650","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-650 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR885_5P","SYSTEMATIC_NAME":"M31576","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-885-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-885-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6126","SYSTEMATIC_NAME":"M31577","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6126","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6126 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1272","SYSTEMATIC_NAME":"M31578","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1272","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1272 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4735_3P","SYSTEMATIC_NAME":"M31579","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4735-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4735-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR541_3P","SYSTEMATIC_NAME":"M31580","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-541-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-541-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4656","SYSTEMATIC_NAME":"M31581","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4656","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4656 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6727_3P","SYSTEMATIC_NAME":"M31582","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6727-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6727-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR216B_5P","SYSTEMATIC_NAME":"M31583","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-216b-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-216b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4293","SYSTEMATIC_NAME":"M31584","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4293","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4293 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3944_5P","SYSTEMATIC_NAME":"M31585","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3944-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3944-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4718","SYSTEMATIC_NAME":"M31586","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4718","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4718 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4711_5P","SYSTEMATIC_NAME":"M31587","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4711-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4711-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4797_3P","SYSTEMATIC_NAME":"M31588","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4797-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4797-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6892_5P","SYSTEMATIC_NAME":"M31589","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6892-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6892-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1197","SYSTEMATIC_NAME":"M31590","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1197","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1197 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR449B_3P","SYSTEMATIC_NAME":"M31591","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-449b-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-449b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6505_3P","SYSTEMATIC_NAME":"M31592","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6505-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6505-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4469","SYSTEMATIC_NAME":"M31593","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4469","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4469 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7155_5P","SYSTEMATIC_NAME":"M31594","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7155-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7155-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR202_5P","SYSTEMATIC_NAME":"M31595","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-202-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-202-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR198","SYSTEMATIC_NAME":"M31596","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-198","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-198 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR584_3P","SYSTEMATIC_NAME":"M31597","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-584-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-584-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6851_5P","SYSTEMATIC_NAME":"M31598","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6851-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6851-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6817_5P","SYSTEMATIC_NAME":"M31599","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6817-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6817-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6759_3P","SYSTEMATIC_NAME":"M31600","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6759-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6759-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5187_3P","SYSTEMATIC_NAME":"M31601","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5187-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5187-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1291","SYSTEMATIC_NAME":"M31602","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1291","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1291 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR486_5P","SYSTEMATIC_NAME":"M31603","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-486-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-486-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1972","SYSTEMATIC_NAME":"M31604","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1972","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1972 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1266_5P","SYSTEMATIC_NAME":"M31605","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1266-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1266-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR324_3P","SYSTEMATIC_NAME":"M31606","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-324-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-324-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR320A_5P","SYSTEMATIC_NAME":"M31607","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-320a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-320a-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6868_5P","SYSTEMATIC_NAME":"M31608","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6868-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6868-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3618","SYSTEMATIC_NAME":"M31609","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3618","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3618 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3135B","SYSTEMATIC_NAME":"M31610","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3135b","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3135b in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5695","SYSTEMATIC_NAME":"M31611","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5695","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5695 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4769_3P","SYSTEMATIC_NAME":"M31612","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4769-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4769-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR484","SYSTEMATIC_NAME":"M31613","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-484","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-484 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4772_3P","SYSTEMATIC_NAME":"M31614","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4772-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4772-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3934_3P","SYSTEMATIC_NAME":"M31615","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3934-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3934-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5100","SYSTEMATIC_NAME":"M31616","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5100","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5100 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR26B_3P","SYSTEMATIC_NAME":"M31617","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-26b-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-26b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR22_3P","SYSTEMATIC_NAME":"M31618","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-22-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-22-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4632_5P","SYSTEMATIC_NAME":"M31619","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4632-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4632-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR628_5P","SYSTEMATIC_NAME":"M31620","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-628-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-628-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6837_3P","SYSTEMATIC_NAME":"M31621","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6837-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6837-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4726_5P","SYSTEMATIC_NAME":"M31622","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4726-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4726-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4786_5P","SYSTEMATIC_NAME":"M31623","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4786-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4786-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7854_3P","SYSTEMATIC_NAME":"M31624","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7854-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7854-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4642","SYSTEMATIC_NAME":"M31625","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4642","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4642 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4733_5P","SYSTEMATIC_NAME":"M31626","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4733-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4733-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4745_5P","SYSTEMATIC_NAME":"M31627","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4745-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4745-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR514A_3P_MIR514B_3P","SYSTEMATIC_NAME":"M31628","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-514a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-514a-3p, hsa-miR-514b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR10526_3P","SYSTEMATIC_NAME":"M31629","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-10526-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-10526-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3173_5P","SYSTEMATIC_NAME":"M31630","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3173-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3173-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR192_3P","SYSTEMATIC_NAME":"M31631","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-192-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-192-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR382_3P","SYSTEMATIC_NAME":"M31632","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-382-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-382-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR2278","SYSTEMATIC_NAME":"M31633","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-2278","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-2278 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3675_3P","SYSTEMATIC_NAME":"M31634","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3675-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3675-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR129_1_3P_MIR129_2_3P","SYSTEMATIC_NAME":"M31635","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-129-1-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-129-1-3p, hsa-miR-129-2-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1255B_2_3P","SYSTEMATIC_NAME":"M31636","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1255b-2-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1255b-2-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR425_5P","SYSTEMATIC_NAME":"M31637","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-425-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-425-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR512_3P","SYSTEMATIC_NAME":"M31638","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-512-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-512-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4468","SYSTEMATIC_NAME":"M31639","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4468","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4468 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6856_5P","SYSTEMATIC_NAME":"M31640","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6856-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6856-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6826_3P","SYSTEMATIC_NAME":"M31641","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6826-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6826-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4647_MIR4662B","SYSTEMATIC_NAME":"M31642","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4647","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4647, hsa-miR-4662b in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4425","SYSTEMATIC_NAME":"M31643","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4425","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4425 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1226_3P","SYSTEMATIC_NAME":"M31644","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1226-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1226-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR218_1_3P","SYSTEMATIC_NAME":"M31645","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-218-1-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-218-1-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4423_3P","SYSTEMATIC_NAME":"M31646","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4423-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4423-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6763_5P","SYSTEMATIC_NAME":"M31647","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6763-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6763-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3166","SYSTEMATIC_NAME":"M31648","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3166","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3166 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4774_5P","SYSTEMATIC_NAME":"M31649","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4774-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4774-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4518","SYSTEMATIC_NAME":"M31650","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4518","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4518 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR383_3P","SYSTEMATIC_NAME":"M31651","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-383-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-383-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR12118","SYSTEMATIC_NAME":"M31652","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-12118","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-12118 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6880_5P","SYSTEMATIC_NAME":"M31653","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6880-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6880-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7843_3P","SYSTEMATIC_NAME":"M31654","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7843-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7843-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5587_5P","SYSTEMATIC_NAME":"M31655","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5587-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5587-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6806_3P","SYSTEMATIC_NAME":"M31656","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6806-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6806-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6515_5P","SYSTEMATIC_NAME":"M31657","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6515-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6515-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR599","SYSTEMATIC_NAME":"M31658","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-599","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-599 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR488_5P","SYSTEMATIC_NAME":"M31659","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-488-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-488-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3173_3P","SYSTEMATIC_NAME":"M31660","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3173-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3173-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5094","SYSTEMATIC_NAME":"M31661","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5094","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5094 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4284","SYSTEMATIC_NAME":"M31662","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4284","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4284 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548B_3P","SYSTEMATIC_NAME":"M31663","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548b-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6773_3P","SYSTEMATIC_NAME":"M31664","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6773-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6773-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1273H_3P","SYSTEMATIC_NAME":"M31665","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1273h-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1273h-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6892_3P","SYSTEMATIC_NAME":"M31666","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6892-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6892-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7855_5P","SYSTEMATIC_NAME":"M31667","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7855-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7855-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR141_5P","SYSTEMATIC_NAME":"M31668","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-141-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-141-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3617_3P","SYSTEMATIC_NAME":"M31669","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3617-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3617-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6801_5P","SYSTEMATIC_NAME":"M31670","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6801-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6801-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1912_3P","SYSTEMATIC_NAME":"M31671","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1912-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1912-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3121_5P","SYSTEMATIC_NAME":"M31672","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3121-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3121-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4490","SYSTEMATIC_NAME":"M31673","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4490","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4490 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR8075","SYSTEMATIC_NAME":"M31674","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-8075","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-8075 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4266","SYSTEMATIC_NAME":"M31675","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4266","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4266 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR2682_5P","SYSTEMATIC_NAME":"M31676","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-2682-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-2682-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR2861","SYSTEMATIC_NAME":"M31677","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-2861","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-2861 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3928_5P","SYSTEMATIC_NAME":"M31678","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3928-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3928-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3127_3P","SYSTEMATIC_NAME":"M31679","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3127-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3127-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR211_3P","SYSTEMATIC_NAME":"M31680","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-211-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-211-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3974","SYSTEMATIC_NAME":"M31681","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3974","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3974 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3190_5P","SYSTEMATIC_NAME":"M31682","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3190-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3190-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1244","SYSTEMATIC_NAME":"M31683","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1244","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1244 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR584_5P","SYSTEMATIC_NAME":"M31684","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-584-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-584-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3074_3P","SYSTEMATIC_NAME":"M31685","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3074-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3074-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3145_5P","SYSTEMATIC_NAME":"M31686","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3145-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3145-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR212_5P","SYSTEMATIC_NAME":"M31687","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-212-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-212-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5702","SYSTEMATIC_NAME":"M31688","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5702","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5702 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3689D","SYSTEMATIC_NAME":"M31689","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3689d","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3689d in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR549A_3P","SYSTEMATIC_NAME":"M31690","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-549a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-549a-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6742_3P","SYSTEMATIC_NAME":"M31691","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6742-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6742-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1260A_MIR1260B","SYSTEMATIC_NAME":"M31692","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1260a","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1260a, hsa-miR-1260b in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR508_3P","SYSTEMATIC_NAME":"M31693","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-508-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-508-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6888_3P","SYSTEMATIC_NAME":"M31694","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6888-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6888-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR624_3P","SYSTEMATIC_NAME":"M31695","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-624-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-624-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4520_3P","SYSTEMATIC_NAME":"M31696","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4520-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4520-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6782_3P","SYSTEMATIC_NAME":"M31697","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6782-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6782-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR518D_5P_MIR518F_5P_MIR520C_5P_MIR526A_5P","SYSTEMATIC_NAME":"M31698","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-518d-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-518d-5p, hsa-miR-518f-5p, hsa-miR-520c-5p, hsa-miR-526a-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4639_5P","SYSTEMATIC_NAME":"M31699","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4639-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4639-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4714_5P","SYSTEMATIC_NAME":"M31700","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4714-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4714-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6756_3P","SYSTEMATIC_NAME":"M31701","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6756-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6756-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4752","SYSTEMATIC_NAME":"M31702","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4752","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4752 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3171","SYSTEMATIC_NAME":"M31703","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3171","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3171 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR12117","SYSTEMATIC_NAME":"M31704","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-12117","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-12117 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4711_3P","SYSTEMATIC_NAME":"M31705","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4711-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4711-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5585_3P","SYSTEMATIC_NAME":"M31706","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5585-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5585-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR10393_3P","SYSTEMATIC_NAME":"M31707","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-10393-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-10393-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7703","SYSTEMATIC_NAME":"M31708","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7703","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7703 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4662A_5P","SYSTEMATIC_NAME":"M31709","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4662a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4662a-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4678","SYSTEMATIC_NAME":"M31710","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4678","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4678 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR152_5P","SYSTEMATIC_NAME":"M31711","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-152-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-152-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4659B_5P","SYSTEMATIC_NAME":"M31712","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4659b-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4659b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3605_5P","SYSTEMATIC_NAME":"M31713","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3605-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3605-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5572","SYSTEMATIC_NAME":"M31714","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5572","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5572 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR606","SYSTEMATIC_NAME":"M31715","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-606","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-606 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3622A_3P_MIR3622B_3P","SYSTEMATIC_NAME":"M31716","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3622a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3622a-3p, hsa-miR-3622b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5000_5P","SYSTEMATIC_NAME":"M31717","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5000-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5000-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4680_5P","SYSTEMATIC_NAME":"M31718","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4680-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4680-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6846_5P","SYSTEMATIC_NAME":"M31719","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6846-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6846-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR628_3P","SYSTEMATIC_NAME":"M31720","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-628-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-628-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1267","SYSTEMATIC_NAME":"M31721","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1267","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1267 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6829_5P","SYSTEMATIC_NAME":"M31722","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6829-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6829-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6748_3P","SYSTEMATIC_NAME":"M31723","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6748-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6748-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6882_3P","SYSTEMATIC_NAME":"M31724","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6882-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6882-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7852_3P","SYSTEMATIC_NAME":"M31725","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7852-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7852-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3922_5P","SYSTEMATIC_NAME":"M31726","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3922-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3922-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR618","SYSTEMATIC_NAME":"M31727","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-618","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-618 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5693","SYSTEMATIC_NAME":"M31728","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5693","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5693 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR96_3P","SYSTEMATIC_NAME":"M31729","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-96-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-96-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3201","SYSTEMATIC_NAME":"M31730","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3201","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3201 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR581","SYSTEMATIC_NAME":"M31731","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-581","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-581 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3913_5P","SYSTEMATIC_NAME":"M31732","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3913-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3913-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6754_3P","SYSTEMATIC_NAME":"M31733","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6754-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6754-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6819_5P","SYSTEMATIC_NAME":"M31734","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6819-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6819-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6804_5P","SYSTEMATIC_NAME":"M31735","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6804-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6804-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR624_5P","SYSTEMATIC_NAME":"M31736","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-624-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-624-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4708_3P","SYSTEMATIC_NAME":"M31737","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4708-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4708-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7152_3P","SYSTEMATIC_NAME":"M31738","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7152-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7152-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4286","SYSTEMATIC_NAME":"M31739","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4286","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4286 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR637","SYSTEMATIC_NAME":"M31740","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-637","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-637 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5000_3P","SYSTEMATIC_NAME":"M31741","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5000-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5000-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR378J","SYSTEMATIC_NAME":"M31742","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-378j","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-378j in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR654_3P","SYSTEMATIC_NAME":"M31743","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-654-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-654-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR610","SYSTEMATIC_NAME":"M31744","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-610","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-610 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3150A_3P","SYSTEMATIC_NAME":"M31745","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3150a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3150a-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR455_3P","SYSTEMATIC_NAME":"M31746","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-455-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-455-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4710","SYSTEMATIC_NAME":"M31747","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4710","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4710 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR409_3P","SYSTEMATIC_NAME":"M31748","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-409-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-409-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5581_5P","SYSTEMATIC_NAME":"M31749","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5581-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5581-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7976","SYSTEMATIC_NAME":"M31750","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7976","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7976 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6831_5P","SYSTEMATIC_NAME":"M31751","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6831-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6831-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR10397_5P","SYSTEMATIC_NAME":"M31752","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-10397-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-10397-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6730_3P","SYSTEMATIC_NAME":"M31753","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6730-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6730-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6871_3P","SYSTEMATIC_NAME":"M31754","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6871-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6871-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6796_5P","SYSTEMATIC_NAME":"M31755","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6796-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6796-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR532_3P","SYSTEMATIC_NAME":"M31756","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-532-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-532-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6745","SYSTEMATIC_NAME":"M31757","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6745","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6745 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3928_3P","SYSTEMATIC_NAME":"M31758","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3928-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3928-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4793_5P","SYSTEMATIC_NAME":"M31759","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4793-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4793-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR892B","SYSTEMATIC_NAME":"M31760","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-892b","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-892b in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR642A_5P","SYSTEMATIC_NAME":"M31761","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-642a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-642a-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6737_5P","SYSTEMATIC_NAME":"M31762","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6737-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6737-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6794_3P","SYSTEMATIC_NAME":"M31763","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6794-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6794-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR367_5P","SYSTEMATIC_NAME":"M31764","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-367-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-367-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4502","SYSTEMATIC_NAME":"M31765","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4502","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4502 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR383_5P","SYSTEMATIC_NAME":"M31766","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-383-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-383-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4330","SYSTEMATIC_NAME":"M31767","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4330","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4330 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6849_3P","SYSTEMATIC_NAME":"M31768","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6849-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6849-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR127_5P","SYSTEMATIC_NAME":"M31769","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-127-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-127-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3918","SYSTEMATIC_NAME":"M31770","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3918","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3918 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR573","SYSTEMATIC_NAME":"M31771","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-573","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-573 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6771_3P","SYSTEMATIC_NAME":"M31772","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6771-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6771-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4696","SYSTEMATIC_NAME":"M31773","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4696","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4696 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5579_5P","SYSTEMATIC_NAME":"M31774","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5579-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5579-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6848_5P","SYSTEMATIC_NAME":"M31775","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6848-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6848-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4539","SYSTEMATIC_NAME":"M31776","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4539","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4539 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR370_3P","SYSTEMATIC_NAME":"M31777","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-370-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-370-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4294","SYSTEMATIC_NAME":"M31778","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4294","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4294 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR134_3P","SYSTEMATIC_NAME":"M31779","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-134-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-134-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3156_3P","SYSTEMATIC_NAME":"M31780","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3156-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3156-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR622","SYSTEMATIC_NAME":"M31781","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-622","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-622 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6750_3P","SYSTEMATIC_NAME":"M31782","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6750-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6750-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1178_3P","SYSTEMATIC_NAME":"M31783","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1178-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1178-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4695_3P","SYSTEMATIC_NAME":"M31784","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4695-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4695-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR532_5P","SYSTEMATIC_NAME":"M31785","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-532-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-532-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1912_5P","SYSTEMATIC_NAME":"M31786","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1912-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1912-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1286","SYSTEMATIC_NAME":"M31787","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1286","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1286 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6864_5P","SYSTEMATIC_NAME":"M31788","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6864-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6864-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR592","SYSTEMATIC_NAME":"M31789","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-592","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-592 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1261","SYSTEMATIC_NAME":"M31790","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1261","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1261 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4437","SYSTEMATIC_NAME":"M31791","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4437","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4437 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5583_3P","SYSTEMATIC_NAME":"M31792","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5583-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5583-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6732_3P","SYSTEMATIC_NAME":"M31793","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6732-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6732-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7113_3P","SYSTEMATIC_NAME":"M31794","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7113-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7113-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7978","SYSTEMATIC_NAME":"M31795","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7978","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7978 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4254","SYSTEMATIC_NAME":"M31796","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4254","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4254 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3162_5P","SYSTEMATIC_NAME":"M31797","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3162-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3162-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3682_3P","SYSTEMATIC_NAME":"M31798","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3682-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3682-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6793_3P","SYSTEMATIC_NAME":"M31799","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6793-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6793-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3616_5P","SYSTEMATIC_NAME":"M31800","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3616-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3616-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4689","SYSTEMATIC_NAME":"M31801","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4689","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4689 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6781_3P","SYSTEMATIC_NAME":"M31802","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6781-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6781-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR8055","SYSTEMATIC_NAME":"M31803","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-8055","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-8055 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR518E_5P_MIR519A_5P_MIR519B_5P_MIR519C_5P_MIR522_5P_MIR523_5P","SYSTEMATIC_NAME":"M31804","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-518e-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-518e-5p, hsa-miR-519a-5p, hsa-miR-519b-5p, hsa-miR-519c-5p, hsa-miR-522-5p, hsa-miR-523-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4329","SYSTEMATIC_NAME":"M31805","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4329","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4329 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3155A_MIR3155B","SYSTEMATIC_NAME":"M31806","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3155a","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3155a, hsa-miR-3155b in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR630","SYSTEMATIC_NAME":"M31807","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-630","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-630 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4289","SYSTEMATIC_NAME":"M31808","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4289","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4289 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR508_5P","SYSTEMATIC_NAME":"M31809","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-508-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-508-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR770_5P","SYSTEMATIC_NAME":"M31810","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-770-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-770-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4686","SYSTEMATIC_NAME":"M31811","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4686","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4686 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6748_5P","SYSTEMATIC_NAME":"M31812","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6748-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6748-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1228_3P","SYSTEMATIC_NAME":"M31813","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1228-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1228-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6529_3P","SYSTEMATIC_NAME":"M31814","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6529-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6529-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR145_3P","SYSTEMATIC_NAME":"M31815","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-145-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-145-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR589_5P","SYSTEMATIC_NAME":"M31816","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-589-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-589-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4712_5P","SYSTEMATIC_NAME":"M31817","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4712-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4712-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1285_5P","SYSTEMATIC_NAME":"M31818","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1285-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1285-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR203B_3P","SYSTEMATIC_NAME":"M31819","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-203b-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-203b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4252","SYSTEMATIC_NAME":"M31820","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4252","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4252 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR122_5P","SYSTEMATIC_NAME":"M31821","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-122-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-122-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6874_3P","SYSTEMATIC_NAME":"M31822","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6874-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6874-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6832_5P","SYSTEMATIC_NAME":"M31823","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6832-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6832-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4501","SYSTEMATIC_NAME":"M31824","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4501","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4501 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6893_3P","SYSTEMATIC_NAME":"M31825","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6893-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6893-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1202","SYSTEMATIC_NAME":"M31826","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1202","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1202 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4662A_3P","SYSTEMATIC_NAME":"M31827","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4662a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4662a-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4794","SYSTEMATIC_NAME":"M31828","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4794","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4794 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR148B_5P","SYSTEMATIC_NAME":"M31829","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-148b-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-148b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4435","SYSTEMATIC_NAME":"M31830","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4435","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4435 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6857_5P","SYSTEMATIC_NAME":"M31831","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6857-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6857-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR495_5P","SYSTEMATIC_NAME":"M31832","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-495-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-495-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR647","SYSTEMATIC_NAME":"M31833","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-647","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-647 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR517_5P","SYSTEMATIC_NAME":"M31834","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-517-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-517-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5588_5P","SYSTEMATIC_NAME":"M31835","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5588-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5588-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6827_3P","SYSTEMATIC_NAME":"M31836","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6827-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6827-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3194_3P","SYSTEMATIC_NAME":"M31837","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3194-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3194-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR182_3P","SYSTEMATIC_NAME":"M31838","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-182-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-182-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4790_3P","SYSTEMATIC_NAME":"M31839","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4790-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4790-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4687_3P","SYSTEMATIC_NAME":"M31840","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4687-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4687-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3192_3P","SYSTEMATIC_NAME":"M31841","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3192-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3192-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR26A_1_3P","SYSTEMATIC_NAME":"M31842","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-26a-1-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-26a-1-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR26A_2_3P","SYSTEMATIC_NAME":"M31843","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-26a-2-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-26a-2-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR15B_3P","SYSTEMATIC_NAME":"M31844","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-15b-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-15b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6514_3P","SYSTEMATIC_NAME":"M31845","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6514-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6514-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR10B_3P","SYSTEMATIC_NAME":"M31846","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-10b-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-10b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6501_5P","SYSTEMATIC_NAME":"M31847","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6501-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6501-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR10524_5P","SYSTEMATIC_NAME":"M31848","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-10524-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-10524-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4695_5P","SYSTEMATIC_NAME":"M31849","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4695-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4695-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6731_3P","SYSTEMATIC_NAME":"M31850","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6731-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6731-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR10525_3P","SYSTEMATIC_NAME":"M31851","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-10525-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-10525-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR455_5P","SYSTEMATIC_NAME":"M31852","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-455-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-455-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR597_5P","SYSTEMATIC_NAME":"M31853","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-597-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-597-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6510_5P","SYSTEMATIC_NAME":"M31854","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6510-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6510-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR323B_3P","SYSTEMATIC_NAME":"M31855","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-323b-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-323b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3156_5P","SYSTEMATIC_NAME":"M31856","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3156-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3156-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4491","SYSTEMATIC_NAME":"M31857","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4491","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4491 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR31_3P","SYSTEMATIC_NAME":"M31858","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-31-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-31-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1236_5P","SYSTEMATIC_NAME":"M31859","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1236-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1236-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3613_5P","SYSTEMATIC_NAME":"M31860","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3613-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3613-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4657","SYSTEMATIC_NAME":"M31861","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4657","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4657 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3922_3P","SYSTEMATIC_NAME":"M31862","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3922-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3922-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4804_3P","SYSTEMATIC_NAME":"M31863","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4804-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4804-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4464","SYSTEMATIC_NAME":"M31864","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4464","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4464 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1302","SYSTEMATIC_NAME":"M31865","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1302","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1302 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3927_3P","SYSTEMATIC_NAME":"M31866","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3927-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3927-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR510_5P","SYSTEMATIC_NAME":"M31867","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-510-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-510-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3972","SYSTEMATIC_NAME":"M31868","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3972","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3972 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR194_3P","SYSTEMATIC_NAME":"M31869","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-194-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-194-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR10401_5P","SYSTEMATIC_NAME":"M31870","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-10401-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-10401-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4720_5P","SYSTEMATIC_NAME":"M31871","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4720-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4720-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4748","SYSTEMATIC_NAME":"M31872","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4748","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4748 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1229_3P","SYSTEMATIC_NAME":"M31873","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1229-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1229-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5586_3P","SYSTEMATIC_NAME":"M31874","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5586-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5586-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7158_5P","SYSTEMATIC_NAME":"M31875","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7158-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7158-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR8073","SYSTEMATIC_NAME":"M31876","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-8073","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-8073 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7974","SYSTEMATIC_NAME":"M31877","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7974","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7974 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4445_5P","SYSTEMATIC_NAME":"M31878","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4445-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4445-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4799_3P","SYSTEMATIC_NAME":"M31879","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4799-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4799-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5008_5P","SYSTEMATIC_NAME":"M31880","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5008-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5008-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4722_3P","SYSTEMATIC_NAME":"M31881","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4722-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4722-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7156_3P","SYSTEMATIC_NAME":"M31882","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7156-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7156-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4664_5P","SYSTEMATIC_NAME":"M31883","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4664-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4664-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6827_5P","SYSTEMATIC_NAME":"M31884","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6827-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6827-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4717_3P","SYSTEMATIC_NAME":"M31885","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4717-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4717-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4774_3P","SYSTEMATIC_NAME":"M31886","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4774-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4774-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6823_5P","SYSTEMATIC_NAME":"M31887","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6823-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6823-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3909","SYSTEMATIC_NAME":"M31888","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3909","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3909 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4473","SYSTEMATIC_NAME":"M31889","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4473","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4473 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3161","SYSTEMATIC_NAME":"M31890","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3161","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3161 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4717_5P","SYSTEMATIC_NAME":"M31891","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4717-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4717-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR138_1_3P","SYSTEMATIC_NAME":"M31892","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-138-1-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-138-1-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6131","SYSTEMATIC_NAME":"M31893","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6131","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6131 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR489_3P","SYSTEMATIC_NAME":"M31894","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-489-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-489-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4519","SYSTEMATIC_NAME":"M31895","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4519","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4519 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6765_3P","SYSTEMATIC_NAME":"M31896","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6765-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6765-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5586_5P","SYSTEMATIC_NAME":"M31897","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5586-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5586-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6755_3P","SYSTEMATIC_NAME":"M31898","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6755-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6755-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR569","SYSTEMATIC_NAME":"M31899","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-569","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-569 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4460","SYSTEMATIC_NAME":"M31900","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4460","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4460 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4527","SYSTEMATIC_NAME":"M31901","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4527","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4527 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4436A","SYSTEMATIC_NAME":"M31902","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4436a","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4436a in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR500B_3P","SYSTEMATIC_NAME":"M31903","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-500b-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-500b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5089_3P","SYSTEMATIC_NAME":"M31904","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5089-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5089-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4726_3P","SYSTEMATIC_NAME":"M31905","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4726-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4726-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4795_5P","SYSTEMATIC_NAME":"M31906","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4795-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4795-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4701_3P","SYSTEMATIC_NAME":"M31907","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4701-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4701-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR934","SYSTEMATIC_NAME":"M31908","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-934","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-934 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7109_5P","SYSTEMATIC_NAME":"M31909","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7109-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7109-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR221_5P","SYSTEMATIC_NAME":"M31910","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-221-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-221-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR675_3P","SYSTEMATIC_NAME":"M31911","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-675-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-675-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6872_3P","SYSTEMATIC_NAME":"M31912","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6872-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6872-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1295B_5P","SYSTEMATIC_NAME":"M31913","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1295b-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1295b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6829_3P","SYSTEMATIC_NAME":"M31914","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6829-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6829-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3136_5P","SYSTEMATIC_NAME":"M31915","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3136-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3136-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR140_5P","SYSTEMATIC_NAME":"M31916","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-140-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-140-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3679_5P","SYSTEMATIC_NAME":"M31917","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3679-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3679-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3935","SYSTEMATIC_NAME":"M31918","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3935","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3935 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1976","SYSTEMATIC_NAME":"M31919","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1976","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1976 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR219A_2_3P","SYSTEMATIC_NAME":"M31920","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-219a-2-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-219a-2-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1246","SYSTEMATIC_NAME":"M31921","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1246","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1246 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6791_3P","SYSTEMATIC_NAME":"M31922","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6791-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6791-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5589_5P","SYSTEMATIC_NAME":"M31923","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5589-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5589-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6886_3P","SYSTEMATIC_NAME":"M31924","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6886-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6886-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1199_5P","SYSTEMATIC_NAME":"M31925","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1199-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1199-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6751_3P","SYSTEMATIC_NAME":"M31926","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6751-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6751-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4474_3P","SYSTEMATIC_NAME":"M31927","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4474-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4474-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6500_3P","SYSTEMATIC_NAME":"M31928","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6500-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6500-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR643","SYSTEMATIC_NAME":"M31929","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-643","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-643 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4493","SYSTEMATIC_NAME":"M31930","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4493","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4493 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR634","SYSTEMATIC_NAME":"M31931","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-634","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-634 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR649","SYSTEMATIC_NAME":"M31932","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-649","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-649 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6861_5P","SYSTEMATIC_NAME":"M31933","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6861-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6861-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6854_5P","SYSTEMATIC_NAME":"M31934","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6854-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6854-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3929","SYSTEMATIC_NAME":"M31935","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3929","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3929 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6890_3P","SYSTEMATIC_NAME":"M31936","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6890-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6890-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1262","SYSTEMATIC_NAME":"M31937","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1262","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1262 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4296","SYSTEMATIC_NAME":"M31938","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4296","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4296 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3138","SYSTEMATIC_NAME":"M31939","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3138","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3138 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR125A_3P","SYSTEMATIC_NAME":"M31940","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-125a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-125a-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR657","SYSTEMATIC_NAME":"M31941","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-657","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-657 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6810_5P","SYSTEMATIC_NAME":"M31942","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6810-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6810-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR378G","SYSTEMATIC_NAME":"M31943","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-378g","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-378g in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR644A","SYSTEMATIC_NAME":"M31944","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-644a","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-644a in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR660_5P","SYSTEMATIC_NAME":"M31945","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-660-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-660-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR12127","SYSTEMATIC_NAME":"M31946","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-12127","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-12127 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3132","SYSTEMATIC_NAME":"M31947","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3132","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3132 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR18A_3P","SYSTEMATIC_NAME":"M31948","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-18a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-18a-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4724_3P","SYSTEMATIC_NAME":"M31949","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4724-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4724-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5694","SYSTEMATIC_NAME":"M31950","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5694","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5694 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6736_5P","SYSTEMATIC_NAME":"M31951","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6736-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6736-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4764_5P","SYSTEMATIC_NAME":"M31952","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4764-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4764-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6728_5P","SYSTEMATIC_NAME":"M31953","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6728-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6728-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4450","SYSTEMATIC_NAME":"M31954","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4450","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4450 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR642B_5P","SYSTEMATIC_NAME":"M31955","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-642b-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-642b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3912_5P","SYSTEMATIC_NAME":"M31956","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3912-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3912-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR331_5P","SYSTEMATIC_NAME":"M31957","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-331-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-331-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4708_5P","SYSTEMATIC_NAME":"M31958","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4708-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4708-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6810_3P","SYSTEMATIC_NAME":"M31959","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6810-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6810-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6734_5P","SYSTEMATIC_NAME":"M31960","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6734-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6734-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR376A_5P","SYSTEMATIC_NAME":"M31961","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-376a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-376a-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR193A_3P_MIR193B_3P","SYSTEMATIC_NAME":"M31962","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-193a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-193a-3p, hsa-miR-193b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR10395_5P","SYSTEMATIC_NAME":"M31963","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-10395-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-10395-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4327","SYSTEMATIC_NAME":"M31964","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4327","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4327 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6072","SYSTEMATIC_NAME":"M31965","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6072","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6072 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4439","SYSTEMATIC_NAME":"M31966","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4439","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4439 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1910_5P","SYSTEMATIC_NAME":"M31967","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1910-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1910-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4463","SYSTEMATIC_NAME":"M31968","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4463","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4463 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR376A_2_5P","SYSTEMATIC_NAME":"M31969","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-376a-2-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-376a-2-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7847_3P","SYSTEMATIC_NAME":"M31970","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7847-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7847-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3664_5P","SYSTEMATIC_NAME":"M31971","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3664-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3664-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6855_5P","SYSTEMATIC_NAME":"M31972","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6855-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6855-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4639_3P","SYSTEMATIC_NAME":"M31973","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4639-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4639-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR8069","SYSTEMATIC_NAME":"M31974","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-8069","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-8069 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR550A_3P","SYSTEMATIC_NAME":"M31975","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-550a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-550a-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4772_5P","SYSTEMATIC_NAME":"M31976","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4772-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4772-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR744_3P","SYSTEMATIC_NAME":"M31977","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-744-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-744-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR8077","SYSTEMATIC_NAME":"M31978","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-8077","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-8077 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6894_3P","SYSTEMATIC_NAME":"M31979","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6894-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6894-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1224_5P","SYSTEMATIC_NAME":"M31980","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1224-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1224-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR188_5P","SYSTEMATIC_NAME":"M31981","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-188-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-188-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR12115","SYSTEMATIC_NAME":"M31982","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-12115","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-12115 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4777_3P","SYSTEMATIC_NAME":"M31983","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4777-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4777-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3187_3P","SYSTEMATIC_NAME":"M31984","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3187-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3187-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1270","SYSTEMATIC_NAME":"M31985","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1270","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1270 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6866_3P","SYSTEMATIC_NAME":"M31986","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6866-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6866-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6895_3P","SYSTEMATIC_NAME":"M31987","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6895-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6895-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3134","SYSTEMATIC_NAME":"M31988","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3134","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3134 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4690_5P","SYSTEMATIC_NAME":"M31989","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4690-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4690-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR432_3P","SYSTEMATIC_NAME":"M31990","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-432-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-432-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1255A_MIR1255B_5P","SYSTEMATIC_NAME":"M31991","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1255a","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1255a, hsa-miR-1255b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4704_5P","SYSTEMATIC_NAME":"M31992","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4704-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4704-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6804_3P","SYSTEMATIC_NAME":"M31993","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6804-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6804-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR8081","SYSTEMATIC_NAME":"M31994","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-8081","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-8081 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4650_5P","SYSTEMATIC_NAME":"M31995","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4650-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4650-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7155_3P","SYSTEMATIC_NAME":"M31996","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7155-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7155-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6843_3P","SYSTEMATIC_NAME":"M31997","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6843-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6843-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR2116_3P","SYSTEMATIC_NAME":"M31998","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-2116-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-2116-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR412_3P","SYSTEMATIC_NAME":"M31999","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-412-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-412-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR8057","SYSTEMATIC_NAME":"M32000","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-8057","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-8057 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR574_5P","SYSTEMATIC_NAME":"M32001","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-574-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-574-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR20B_3P","SYSTEMATIC_NAME":"M32002","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-20b-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-20b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3184_3P","SYSTEMATIC_NAME":"M32003","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3184-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3184-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3118","SYSTEMATIC_NAME":"M32004","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3118","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3118 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4471","SYSTEMATIC_NAME":"M32005","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4471","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4471 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6848_3P","SYSTEMATIC_NAME":"M32006","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6848-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6848-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6744_5P","SYSTEMATIC_NAME":"M32007","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6744-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6744-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR550B_3P","SYSTEMATIC_NAME":"M32008","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-550b-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-550b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR197_5P","SYSTEMATIC_NAME":"M32009","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-197-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-197-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3188","SYSTEMATIC_NAME":"M32010","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3188","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3188 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3661","SYSTEMATIC_NAME":"M32011","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3661","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3661 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6812_5P","SYSTEMATIC_NAME":"M32012","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6812-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6812-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR193B_5P","SYSTEMATIC_NAME":"M32013","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-193b-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-193b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3122","SYSTEMATIC_NAME":"M32014","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3122","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3122 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7109_3P","SYSTEMATIC_NAME":"M32015","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7109-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7109-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR877_5P","SYSTEMATIC_NAME":"M32016","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-877-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-877-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6775_3P","SYSTEMATIC_NAME":"M32017","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6775-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6775-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR196A_5P_MIR196B_5P","SYSTEMATIC_NAME":"M32018","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-196a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-196a-5p, hsa-miR-196b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6769B_5P","SYSTEMATIC_NAME":"M32019","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6769b-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6769b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR147A","SYSTEMATIC_NAME":"M32020","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-147a","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-147a in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR520G_5P","SYSTEMATIC_NAME":"M32021","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-520g-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-520g-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1322","SYSTEMATIC_NAME":"M32022","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1322","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1322 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR2392","SYSTEMATIC_NAME":"M32023","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-2392","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-2392 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3189_3P","SYSTEMATIC_NAME":"M32024","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3189-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3189-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1224_3P","SYSTEMATIC_NAME":"M32025","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1224-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1224-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3152_3P","SYSTEMATIC_NAME":"M32026","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3152-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3152-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR10398_5P","SYSTEMATIC_NAME":"M32027","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-10398-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-10398-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4653_3P","SYSTEMATIC_NAME":"M32028","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4653-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4653-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6729_3P","SYSTEMATIC_NAME":"M32029","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6729-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6729-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3913_3P","SYSTEMATIC_NAME":"M32030","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3913-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3913-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6769B_3P","SYSTEMATIC_NAME":"M32031","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6769b-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6769b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR144_5P","SYSTEMATIC_NAME":"M32032","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-144-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-144-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4487","SYSTEMATIC_NAME":"M32033","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4487","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4487 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6857_3P","SYSTEMATIC_NAME":"M32034","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6857-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6857-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3169","SYSTEMATIC_NAME":"M32035","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3169","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3169 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3136_3P","SYSTEMATIC_NAME":"M32036","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3136-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3136-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5196_3P","SYSTEMATIC_NAME":"M32037","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5196-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5196-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6772_3P","SYSTEMATIC_NAME":"M32038","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6772-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6772-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4290","SYSTEMATIC_NAME":"M32039","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4290","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4290 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR937_5P","SYSTEMATIC_NAME":"M32040","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-937-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-937-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7151_5P","SYSTEMATIC_NAME":"M32041","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7151-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7151-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR8064","SYSTEMATIC_NAME":"M32042","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-8064","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-8064 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6750_5P","SYSTEMATIC_NAME":"M32043","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6750-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6750-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4723_3P","SYSTEMATIC_NAME":"M32044","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4723-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4723-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR11399","SYSTEMATIC_NAME":"M32045","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-11399","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-11399 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6824_5P","SYSTEMATIC_NAME":"M32046","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6824-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6824-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1227_3P","SYSTEMATIC_NAME":"M32047","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1227-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1227-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3194_5P","SYSTEMATIC_NAME":"M32048","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3194-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3194-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4432","SYSTEMATIC_NAME":"M32049","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4432","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4432 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR2276_5P","SYSTEMATIC_NAME":"M32050","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-2276-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-2276-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6822_5P","SYSTEMATIC_NAME":"M32051","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6822-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6822-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3183","SYSTEMATIC_NAME":"M32052","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3183","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3183 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR502_5P","SYSTEMATIC_NAME":"M32053","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-502-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-502-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR620","SYSTEMATIC_NAME":"M32054","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-620","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-620 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4256","SYSTEMATIC_NAME":"M32055","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4256","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4256 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR500A_3P","SYSTEMATIC_NAME":"M32056","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-500a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-500a-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4299","SYSTEMATIC_NAME":"M32057","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4299","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4299 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6806_5P","SYSTEMATIC_NAME":"M32058","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6806-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6806-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6866_5P","SYSTEMATIC_NAME":"M32059","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6866-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6866-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6875_5P","SYSTEMATIC_NAME":"M32060","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6875-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6875-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR10226","SYSTEMATIC_NAME":"M32061","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-10226","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-10226 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR134_5P","SYSTEMATIC_NAME":"M32062","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-134-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-134-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3176","SYSTEMATIC_NAME":"M32063","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3176","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3176 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4648","SYSTEMATIC_NAME":"M32064","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4648","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4648 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1843","SYSTEMATIC_NAME":"M32065","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1843","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1843 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR339_5P","SYSTEMATIC_NAME":"M32066","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-339-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-339-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4646_3P","SYSTEMATIC_NAME":"M32067","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4646-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4646-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR591","SYSTEMATIC_NAME":"M32068","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-591","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-591 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR550A_3_5P_MIR550A_5P","SYSTEMATIC_NAME":"M32069","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-550a-3-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-550a-3-5p, hsa-miR-550a-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4764_3P","SYSTEMATIC_NAME":"M32070","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4764-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4764-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5685","SYSTEMATIC_NAME":"M32071","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5685","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5685 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR595","SYSTEMATIC_NAME":"M32072","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-595","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-595 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR483_3P","SYSTEMATIC_NAME":"M32073","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-483-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-483-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6797_3P","SYSTEMATIC_NAME":"M32074","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6797-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6797-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3659","SYSTEMATIC_NAME":"M32075","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3659","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3659 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR363_5P","SYSTEMATIC_NAME":"M32076","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-363-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-363-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR938","SYSTEMATIC_NAME":"M32077","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-938","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-938 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4690_3P","SYSTEMATIC_NAME":"M32078","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4690-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4690-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6831_3P","SYSTEMATIC_NAME":"M32079","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6831-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6831-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4712_3P","SYSTEMATIC_NAME":"M32080","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4712-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4712-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4521","SYSTEMATIC_NAME":"M32081","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4521","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4521 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4663","SYSTEMATIC_NAME":"M32082","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4663","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4663 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1271_3P","SYSTEMATIC_NAME":"M32083","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1271-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1271-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4802_5P","SYSTEMATIC_NAME":"M32084","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4802-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4802-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5699_3P","SYSTEMATIC_NAME":"M32085","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5699-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5699-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3672","SYSTEMATIC_NAME":"M32086","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3672","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3672 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR11181_5P","SYSTEMATIC_NAME":"M32087","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-11181-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-11181-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3126_5P","SYSTEMATIC_NAME":"M32088","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3126-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3126-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3200_5P","SYSTEMATIC_NAME":"M32089","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3200-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3200-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4791","SYSTEMATIC_NAME":"M32090","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4791","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4791 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR154_5P","SYSTEMATIC_NAME":"M32091","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-154-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-154-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4732_3P","SYSTEMATIC_NAME":"M32092","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4732-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4732-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6856_3P","SYSTEMATIC_NAME":"M32093","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6856-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6856-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR2682_3P","SYSTEMATIC_NAME":"M32094","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-2682-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-2682-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1256","SYSTEMATIC_NAME":"M32095","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1256","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1256 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3127_5P","SYSTEMATIC_NAME":"M32096","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3127-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3127-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6779_3P","SYSTEMATIC_NAME":"M32097","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6779-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6779-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4740_5P","SYSTEMATIC_NAME":"M32098","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4740-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4740-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR219A_1_3P","SYSTEMATIC_NAME":"M32099","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-219a-1-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-219a-1-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4793_3P","SYSTEMATIC_NAME":"M32100","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4793-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4793-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3117_5P","SYSTEMATIC_NAME":"M32101","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3117-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3117-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4509","SYSTEMATIC_NAME":"M32102","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4509","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4509 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR549A_5P","SYSTEMATIC_NAME":"M32103","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-549a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-549a-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR34A_3P","SYSTEMATIC_NAME":"M32104","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-34a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-34a-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR616_3P","SYSTEMATIC_NAME":"M32105","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-616-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-616-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4761_5P","SYSTEMATIC_NAME":"M32106","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4761-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4761-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5681B","SYSTEMATIC_NAME":"M32107","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5681b","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5681b in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4771","SYSTEMATIC_NAME":"M32108","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4771","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4771 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR655_5P","SYSTEMATIC_NAME":"M32109","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-655-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-655-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3160_3P","SYSTEMATIC_NAME":"M32110","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3160-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3160-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR100_3P","SYSTEMATIC_NAME":"M32111","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-100-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-100-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1278","SYSTEMATIC_NAME":"M32112","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1278","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1278 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR571","SYSTEMATIC_NAME":"M32113","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-571","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-571 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5591_5P","SYSTEMATIC_NAME":"M32114","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5591-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5591-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6751_5P","SYSTEMATIC_NAME":"M32115","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6751-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6751-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1293","SYSTEMATIC_NAME":"M32116","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1293","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1293 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4641","SYSTEMATIC_NAME":"M32117","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4641","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4641 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3144_3P","SYSTEMATIC_NAME":"M32118","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3144-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3144-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6529_5P","SYSTEMATIC_NAME":"M32119","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6529-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6529-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4298","SYSTEMATIC_NAME":"M32120","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4298","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4298 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3120_5P","SYSTEMATIC_NAME":"M32121","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3120-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3120-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3622B_5P","SYSTEMATIC_NAME":"M32122","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3622b-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3622b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1587","SYSTEMATIC_NAME":"M32123","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1587","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1587 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR617","SYSTEMATIC_NAME":"M32124","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-617","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-617 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6871_5P","SYSTEMATIC_NAME":"M32125","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6871-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6871-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6793_5P","SYSTEMATIC_NAME":"M32126","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6793-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6793-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6811_3P","SYSTEMATIC_NAME":"M32127","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6811-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6811-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6503_5P","SYSTEMATIC_NAME":"M32128","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6503-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6503-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4637","SYSTEMATIC_NAME":"M32129","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4637","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4637 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4659A_5P","SYSTEMATIC_NAME":"M32130","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4659a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4659a-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR509_3P","SYSTEMATIC_NAME":"M32131","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-509-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-509-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6891_3P","SYSTEMATIC_NAME":"M32132","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6891-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6891-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4260","SYSTEMATIC_NAME":"M32133","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4260","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4260 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR664A_5P","SYSTEMATIC_NAME":"M32134","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-664a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-664a-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR219B_3P","SYSTEMATIC_NAME":"M32135","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-219b-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-219b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3938","SYSTEMATIC_NAME":"M32136","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3938","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3938 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6883_3P","SYSTEMATIC_NAME":"M32137","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6883-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6883-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6759_5P","SYSTEMATIC_NAME":"M32138","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6759-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6759-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6511A_3P_MIR6511B_3P","SYSTEMATIC_NAME":"M32139","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6511a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6511a-3p, hsa-miR-6511b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3691_3P","SYSTEMATIC_NAME":"M32140","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3691-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3691-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6881_5P","SYSTEMATIC_NAME":"M32141","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6881-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6881-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR562","SYSTEMATIC_NAME":"M32142","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-562","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-562 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4300","SYSTEMATIC_NAME":"M32143","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4300","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4300 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR493_3P","SYSTEMATIC_NAME":"M32144","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-493-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-493-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3152_5P","SYSTEMATIC_NAME":"M32145","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3152-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3152-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1266_3P","SYSTEMATIC_NAME":"M32146","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1266-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1266-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6870_3P","SYSTEMATIC_NAME":"M32147","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6870-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6870-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4305","SYSTEMATIC_NAME":"M32148","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4305","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4305 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6753_3P","SYSTEMATIC_NAME":"M32149","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6753-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6753-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6884_3P","SYSTEMATIC_NAME":"M32150","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6884-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6884-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3616_3P","SYSTEMATIC_NAME":"M32151","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3616-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3616-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6780B_3P","SYSTEMATIC_NAME":"M32152","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6780b-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6780b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR759","SYSTEMATIC_NAME":"M32153","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-759","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-759 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR12116","SYSTEMATIC_NAME":"M32154","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-12116","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-12116 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR873_3P","SYSTEMATIC_NAME":"M32155","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-873-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-873-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1185_5P","SYSTEMATIC_NAME":"M32156","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1185-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1185-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6740_5P","SYSTEMATIC_NAME":"M32157","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6740-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6740-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR382_5P","SYSTEMATIC_NAME":"M32158","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-382-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-382-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4513","SYSTEMATIC_NAME":"M32159","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4513","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4513 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3923","SYSTEMATIC_NAME":"M32160","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3923","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3923 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6823_3P","SYSTEMATIC_NAME":"M32161","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6823-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6823-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3934_5P","SYSTEMATIC_NAME":"M32162","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3934-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3934-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR632","SYSTEMATIC_NAME":"M32163","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-632","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-632 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4654","SYSTEMATIC_NAME":"M32164","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4654","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4654 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR34C_3P","SYSTEMATIC_NAME":"M32165","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-34c-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-34c-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4761_3P","SYSTEMATIC_NAME":"M32166","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4761-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4761-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1288_5P","SYSTEMATIC_NAME":"M32167","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1288-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1288-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR874_5P","SYSTEMATIC_NAME":"M32168","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-874-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-874-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR328_5P","SYSTEMATIC_NAME":"M32169","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-328-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-328-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR626","SYSTEMATIC_NAME":"M32170","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-626","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-626 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR299_3P","SYSTEMATIC_NAME":"M32171","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-299-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-299-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6811_5P","SYSTEMATIC_NAME":"M32172","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6811-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6811-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6511B_5P","SYSTEMATIC_NAME":"M32173","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6511b-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6511b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR514A_5P","SYSTEMATIC_NAME":"M32174","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-514a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-514a-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7107_3P","SYSTEMATIC_NAME":"M32175","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7107-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7107-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR8059","SYSTEMATIC_NAME":"M32176","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-8059","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-8059 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3137","SYSTEMATIC_NAME":"M32177","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3137","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3137 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4524B_3P","SYSTEMATIC_NAME":"M32178","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4524b-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4524b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3139","SYSTEMATIC_NAME":"M32179","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3139","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3139 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3614_3P","SYSTEMATIC_NAME":"M32180","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3614-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3614-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7845_5P","SYSTEMATIC_NAME":"M32181","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7845-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7845-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4693_3P","SYSTEMATIC_NAME":"M32182","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4693-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4693-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6762_5P","SYSTEMATIC_NAME":"M32183","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6762-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6762-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4733_3P","SYSTEMATIC_NAME":"M32184","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4733-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4733-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR370_5P","SYSTEMATIC_NAME":"M32185","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-370-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-370-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR631","SYSTEMATIC_NAME":"M32186","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-631","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-631 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR345_5P","SYSTEMATIC_NAME":"M32187","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-345-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-345-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR342_5P","SYSTEMATIC_NAME":"M32188","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-342-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-342-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6774_5P","SYSTEMATIC_NAME":"M32189","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6774-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6774-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4721","SYSTEMATIC_NAME":"M32190","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4721","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4721 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4448","SYSTEMATIC_NAME":"M32191","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4448","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4448 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR576_3P","SYSTEMATIC_NAME":"M32192","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-576-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-576-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR200C_5P","SYSTEMATIC_NAME":"M32193","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-200c-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-200c-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6847_3P","SYSTEMATIC_NAME":"M32194","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6847-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6847-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6841_3P","SYSTEMATIC_NAME":"M32195","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6841-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6841-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR28_3P","SYSTEMATIC_NAME":"M32196","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-28-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-28-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6865_5P","SYSTEMATIC_NAME":"M32197","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6865-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6865-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1258","SYSTEMATIC_NAME":"M32198","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1258","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1258 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1233_3P","SYSTEMATIC_NAME":"M32199","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1233-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1233-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4683","SYSTEMATIC_NAME":"M32200","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4683","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4683 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3665","SYSTEMATIC_NAME":"M32201","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3665","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3665 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3614_5P","SYSTEMATIC_NAME":"M32202","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3614-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3614-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6869_5P","SYSTEMATIC_NAME":"M32203","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6869-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6869-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3975","SYSTEMATIC_NAME":"M32204","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3975","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3975 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6876_3P","SYSTEMATIC_NAME":"M32205","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6876-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6876-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6801_3P","SYSTEMATIC_NAME":"M32206","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6801-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6801-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7851_3P","SYSTEMATIC_NAME":"M32207","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7851-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7851-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1263","SYSTEMATIC_NAME":"M32208","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1263","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1263 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4741","SYSTEMATIC_NAME":"M32209","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4741","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4741 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6815_5P","SYSTEMATIC_NAME":"M32210","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6815-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6815-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR8056","SYSTEMATIC_NAME":"M32211","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-8056","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-8056 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4474_5P","SYSTEMATIC_NAME":"M32212","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4474-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4474-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR664B_5P","SYSTEMATIC_NAME":"M32213","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-664b-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-664b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1243","SYSTEMATIC_NAME":"M32214","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1243","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1243 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR8083","SYSTEMATIC_NAME":"M32215","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-8083","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-8083 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3914","SYSTEMATIC_NAME":"M32216","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3914","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3914 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4515","SYSTEMATIC_NAME":"M32217","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4515","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4515 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6864_3P","SYSTEMATIC_NAME":"M32218","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6864-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6864-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6834_5P","SYSTEMATIC_NAME":"M32219","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6834-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6834-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4522","SYSTEMATIC_NAME":"M32220","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4522","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4522 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3170","SYSTEMATIC_NAME":"M32221","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3170","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3170 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR505_5P","SYSTEMATIC_NAME":"M32222","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-505-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-505-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR320E","SYSTEMATIC_NAME":"M32223","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-320e","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-320e in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6845_5P","SYSTEMATIC_NAME":"M32224","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6845-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6845-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4433B_5P","SYSTEMATIC_NAME":"M32225","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4433b-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4433b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4749_3P","SYSTEMATIC_NAME":"M32226","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4749-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4749-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6858_5P","SYSTEMATIC_NAME":"M32227","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6858-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6858-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6796_3P","SYSTEMATIC_NAME":"M32228","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6796-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6796-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6744_3P","SYSTEMATIC_NAME":"M32229","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6744-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6744-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3059_3P","SYSTEMATIC_NAME":"M32230","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3059-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3059-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3130_3P","SYSTEMATIC_NAME":"M32231","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3130-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3130-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3620_5P","SYSTEMATIC_NAME":"M32232","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3620-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3620-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6803_5P","SYSTEMATIC_NAME":"M32233","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6803-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6803-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6807_5P","SYSTEMATIC_NAME":"M32234","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6807-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6807-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4480","SYSTEMATIC_NAME":"M32235","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4480","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4480 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1226_5P","SYSTEMATIC_NAME":"M32236","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1226-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1226-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4433A_3P","SYSTEMATIC_NAME":"M32237","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4433a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4433a-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4446_3P","SYSTEMATIC_NAME":"M32238","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4446-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4446-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6798_5P","SYSTEMATIC_NAME":"M32239","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6798-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6798-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7154_3P","SYSTEMATIC_NAME":"M32240","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7154-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7154-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR346","SYSTEMATIC_NAME":"M32241","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-346","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-346 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3620_3P","SYSTEMATIC_NAME":"M32242","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3620-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3620-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR9898","SYSTEMATIC_NAME":"M32243","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-9898","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-9898 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR501_3P_MIR502_3P","SYSTEMATIC_NAME":"M32244","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-501-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-501-3p, hsa-miR-502-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6858_3P","SYSTEMATIC_NAME":"M32245","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6858-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6858-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4757_5P","SYSTEMATIC_NAME":"M32246","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4757-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4757-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4475","SYSTEMATIC_NAME":"M32247","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4475","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4475 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4438","SYSTEMATIC_NAME":"M32248","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4438","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4438 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR9903","SYSTEMATIC_NAME":"M32249","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-9903","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-9903 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR503_5P","SYSTEMATIC_NAME":"M32250","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-503-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-503-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4715_5P","SYSTEMATIC_NAME":"M32251","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4715-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4715-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7158_3P","SYSTEMATIC_NAME":"M32252","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7158-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7158-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR449C_3P","SYSTEMATIC_NAME":"M32253","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-449c-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-449c-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR146B_3P","SYSTEMATIC_NAME":"M32254","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-146b-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-146b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4638_3P","SYSTEMATIC_NAME":"M32255","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4638-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4638-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4676_5P","SYSTEMATIC_NAME":"M32256","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4676-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4676-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6851_3P","SYSTEMATIC_NAME":"M32257","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6851-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6851-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3130_5P","SYSTEMATIC_NAME":"M32258","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3130-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3130-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3189_5P","SYSTEMATIC_NAME":"M32259","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3189-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3189-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6885_5P","SYSTEMATIC_NAME":"M32260","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6885-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6885-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4274","SYSTEMATIC_NAME":"M32261","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4274","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4274 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6076","SYSTEMATIC_NAME":"M32262","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6076","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6076 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4320","SYSTEMATIC_NAME":"M32263","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4320","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4320 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR575","SYSTEMATIC_NAME":"M32264","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-575","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-575 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR431_5P","SYSTEMATIC_NAME":"M32265","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-431-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-431-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR921","SYSTEMATIC_NAME":"M32266","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-921","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-921 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6878_3P","SYSTEMATIC_NAME":"M32267","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6878-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6878-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6776_3P","SYSTEMATIC_NAME":"M32268","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6776-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6776-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4714_3P","SYSTEMATIC_NAME":"M32269","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4714-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4714-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR380_5P","SYSTEMATIC_NAME":"M32270","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-380-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-380-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4715_3P","SYSTEMATIC_NAME":"M32271","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4715-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4715-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1287_5P","SYSTEMATIC_NAME":"M32272","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1287-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1287-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR331_3P","SYSTEMATIC_NAME":"M32273","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-331-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-331-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5704","SYSTEMATIC_NAME":"M32274","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5704","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5704 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR512_5P","SYSTEMATIC_NAME":"M32275","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-512-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-512-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3654","SYSTEMATIC_NAME":"M32276","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3654","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3654 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR552_3P","SYSTEMATIC_NAME":"M32277","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-552-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-552-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1288_3P","SYSTEMATIC_NAME":"M32278","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1288-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1288-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR203B_5P","SYSTEMATIC_NAME":"M32279","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-203b-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-203b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3936","SYSTEMATIC_NAME":"M32280","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3936","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3936 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6772_5P","SYSTEMATIC_NAME":"M32281","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6772-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6772-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR374C_3P","SYSTEMATIC_NAME":"M32282","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-374c-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-374c-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6838_3P","SYSTEMATIC_NAME":"M32283","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6838-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6838-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6757_5P","SYSTEMATIC_NAME":"M32284","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6757-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6757-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR340_3P","SYSTEMATIC_NAME":"M32285","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-340-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-340-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR504_5P","SYSTEMATIC_NAME":"M32286","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-504-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-504-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR764","SYSTEMATIC_NAME":"M32287","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-764","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-764 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR924","SYSTEMATIC_NAME":"M32288","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-924","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-924 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR218_2_3P","SYSTEMATIC_NAME":"M32289","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-218-2-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-218-2-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR635","SYSTEMATIC_NAME":"M32290","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-635","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-635 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1914_5P","SYSTEMATIC_NAME":"M32291","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1914-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1914-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4725_5P","SYSTEMATIC_NAME":"M32292","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4725-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4725-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7702","SYSTEMATIC_NAME":"M32293","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7702","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7702 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR619_3P","SYSTEMATIC_NAME":"M32294","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-619-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-619-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5009_5P","SYSTEMATIC_NAME":"M32295","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5009-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5009-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1225_3P","SYSTEMATIC_NAME":"M32296","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1225-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1225-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6502_5P","SYSTEMATIC_NAME":"M32297","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6502-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6502-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6861_3P","SYSTEMATIC_NAME":"M32298","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6861-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6861-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4529_5P","SYSTEMATIC_NAME":"M32299","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4529-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4529-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR640","SYSTEMATIC_NAME":"M32300","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-640","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-640 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548AT_3P","SYSTEMATIC_NAME":"M32301","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548at-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548at-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR377_5P","SYSTEMATIC_NAME":"M32302","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-377-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-377-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6718_5P","SYSTEMATIC_NAME":"M32303","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6718-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6718-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3663_5P","SYSTEMATIC_NAME":"M32304","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3663-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3663-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR2909","SYSTEMATIC_NAME":"M32305","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-2909","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-2909 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4675","SYSTEMATIC_NAME":"M32306","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4675","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4675 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1301_5P","SYSTEMATIC_NAME":"M32307","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1301-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1301-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5189_3P","SYSTEMATIC_NAME":"M32308","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5189-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5189-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR101_5P","SYSTEMATIC_NAME":"M32309","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-101-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-101-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR214_5P","SYSTEMATIC_NAME":"M32310","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-214-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-214-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR10397_3P","SYSTEMATIC_NAME":"M32311","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-10397-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-10397-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7705","SYSTEMATIC_NAME":"M32312","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7705","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7705 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3198","SYSTEMATIC_NAME":"M32313","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3198","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3198 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4268","SYSTEMATIC_NAME":"M32314","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4268","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4268 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR450B_3P","SYSTEMATIC_NAME":"M32315","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-450b-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-450b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR500B_5P","SYSTEMATIC_NAME":"M32316","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-500b-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-500b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR210_5P","SYSTEMATIC_NAME":"M32317","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-210-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-210-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3690","SYSTEMATIC_NAME":"M32318","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3690","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3690 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR519E_3P","SYSTEMATIC_NAME":"M32319","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-519e-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-519e-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR296_5P","SYSTEMATIC_NAME":"M32320","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-296-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-296-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4253","SYSTEMATIC_NAME":"M32321","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4253","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4253 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6514_5P","SYSTEMATIC_NAME":"M32322","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6514-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6514-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR676_3P","SYSTEMATIC_NAME":"M32323","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-676-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-676-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6826_5P","SYSTEMATIC_NAME":"M32324","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6826-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6826-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1231","SYSTEMATIC_NAME":"M32325","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1231","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1231 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1245B_5P","SYSTEMATIC_NAME":"M32326","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1245b-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1245b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6777_3P","SYSTEMATIC_NAME":"M32327","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6777-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6777-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR362_5P","SYSTEMATIC_NAME":"M32328","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-362-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-362-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6502_3P","SYSTEMATIC_NAME":"M32329","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6502-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6502-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4540","SYSTEMATIC_NAME":"M32330","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4540","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4540 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7114_3P","SYSTEMATIC_NAME":"M32331","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7114-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7114-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR515_3P","SYSTEMATIC_NAME":"M32332","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-515-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-515-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6862_5P","SYSTEMATIC_NAME":"M32333","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6862-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6862-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5007_5P","SYSTEMATIC_NAME":"M32334","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5007-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5007-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR874_3P","SYSTEMATIC_NAME":"M32335","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-874-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-874-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6822_3P","SYSTEMATIC_NAME":"M32336","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6822-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6822-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3199","SYSTEMATIC_NAME":"M32337","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3199","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3199 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6086","SYSTEMATIC_NAME":"M32338","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6086","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6086 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1265","SYSTEMATIC_NAME":"M32339","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1265","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1265 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3144_5P","SYSTEMATIC_NAME":"M32340","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3144-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3144-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6834_3P","SYSTEMATIC_NAME":"M32341","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6834-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6834-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR33B_3P","SYSTEMATIC_NAME":"M32342","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-33b-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-33b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6800_5P","SYSTEMATIC_NAME":"M32343","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6800-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6800-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6888_5P","SYSTEMATIC_NAME":"M32344","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6888-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6888-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3691_5P","SYSTEMATIC_NAME":"M32345","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3691-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3691-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR668_3P","SYSTEMATIC_NAME":"M32346","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-668-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-668-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3146","SYSTEMATIC_NAME":"M32347","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3146","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3146 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6836_3P","SYSTEMATIC_NAME":"M32348","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6836-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6836-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR490_5P","SYSTEMATIC_NAME":"M32349","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-490-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-490-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR378H","SYSTEMATIC_NAME":"M32350","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-378h","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-378h in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR203A_5P","SYSTEMATIC_NAME":"M32351","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-203a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-203a-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5011_3P","SYSTEMATIC_NAME":"M32352","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5011-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5011-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4489","SYSTEMATIC_NAME":"M32353","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4489","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4489 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4309","SYSTEMATIC_NAME":"M32354","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4309","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4309 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4759","SYSTEMATIC_NAME":"M32355","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4759","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4759 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3667_5P","SYSTEMATIC_NAME":"M32356","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3667-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3667-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3650","SYSTEMATIC_NAME":"M32357","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3650","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3650 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4765","SYSTEMATIC_NAME":"M32358","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4765","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4765 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5192","SYSTEMATIC_NAME":"M32359","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5192","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5192 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3142","SYSTEMATIC_NAME":"M32360","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3142","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3142 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR18B_3P","SYSTEMATIC_NAME":"M32361","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-18b-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-18b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR24_1_5P_MIR24_2_5P","SYSTEMATIC_NAME":"M32362","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-24-1-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-24-1-5p, hsa-miR-24-2-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4758_3P","SYSTEMATIC_NAME":"M32363","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4758-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4758-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4280","SYSTEMATIC_NAME":"M32364","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4280","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4280 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5186","SYSTEMATIC_NAME":"M32365","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5186","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5186 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1289","SYSTEMATIC_NAME":"M32366","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1289","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1289 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7975","SYSTEMATIC_NAME":"M32367","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7975","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7975 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4763_5P","SYSTEMATIC_NAME":"M32368","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4763-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4763-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR8052","SYSTEMATIC_NAME":"M32369","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-8052","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-8052 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR379_5P","SYSTEMATIC_NAME":"M32370","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-379-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-379-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3151_5P","SYSTEMATIC_NAME":"M32371","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3151-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3151-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6855_3P","SYSTEMATIC_NAME":"M32372","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6855-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6855-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6821_3P","SYSTEMATIC_NAME":"M32373","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6821-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6821-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4494","SYSTEMATIC_NAME":"M32374","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4494","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4494 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3907","SYSTEMATIC_NAME":"M32375","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3907","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3907 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR875_5P","SYSTEMATIC_NAME":"M32376","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-875-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-875-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR708_5P","SYSTEMATIC_NAME":"M32377","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-708-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-708-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6080","SYSTEMATIC_NAME":"M32378","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6080","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6080 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3657","SYSTEMATIC_NAME":"M32379","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3657","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3657 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR411_5P","SYSTEMATIC_NAME":"M32380","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-411-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-411-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR135A_2_3P","SYSTEMATIC_NAME":"M32381","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-135a-2-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-135a-2-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548AY_3P","SYSTEMATIC_NAME":"M32382","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548ay-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548ay-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR376B_5P_MIR376C_5P","SYSTEMATIC_NAME":"M32383","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-376b-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-376b-5p, hsa-miR-376c-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1306_5P","SYSTEMATIC_NAME":"M32384","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1306-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1306-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6865_3P","SYSTEMATIC_NAME":"M32385","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6865-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6865-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR2114_3P","SYSTEMATIC_NAME":"M32386","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-2114-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-2114-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR135B_3P","SYSTEMATIC_NAME":"M32387","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-135b-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-135b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4265","SYSTEMATIC_NAME":"M32388","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4265","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4265 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR490_3P","SYSTEMATIC_NAME":"M32389","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-490-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-490-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4769_5P","SYSTEMATIC_NAME":"M32390","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4769-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4769-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR28_5P","SYSTEMATIC_NAME":"M32391","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-28-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-28-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1238_5P_MIR4758_5P","SYSTEMATIC_NAME":"M32392","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1238-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1238-5p, hsa-miR-4758-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4688","SYSTEMATIC_NAME":"M32393","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4688","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4688 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3927_5P","SYSTEMATIC_NAME":"M32394","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3927-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3927-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5588_3P","SYSTEMATIC_NAME":"M32395","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5588-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5588-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4259","SYSTEMATIC_NAME":"M32396","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4259","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4259 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3165","SYSTEMATIC_NAME":"M32397","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3165","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3165 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4322","SYSTEMATIC_NAME":"M32398","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4322","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4322 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR625_3P","SYSTEMATIC_NAME":"M32399","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-625-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-625-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4421","SYSTEMATIC_NAME":"M32400","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4421","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4421 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR378E","SYSTEMATIC_NAME":"M32401","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-378e","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-378e in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4301","SYSTEMATIC_NAME":"M32402","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4301","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4301 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1915_5P","SYSTEMATIC_NAME":"M32403","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1915-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1915-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4506","SYSTEMATIC_NAME":"M32404","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4506","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4506 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR27B_5P","SYSTEMATIC_NAME":"M32405","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-27b-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-27b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5571_3P","SYSTEMATIC_NAME":"M32406","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5571-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5571-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3115","SYSTEMATIC_NAME":"M32407","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3115","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3115 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5194","SYSTEMATIC_NAME":"M32408","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5194","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5194 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR943","SYSTEMATIC_NAME":"M32409","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-943","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-943 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR378A_3P_MIR378C_MIR378D_MIR378I","SYSTEMATIC_NAME":"M32410","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-378a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-378a-3p, hsa-miR-378c, hsa-miR-378d, hsa-miR-378i in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6798_3P","SYSTEMATIC_NAME":"M32411","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6798-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6798-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR324_5P","SYSTEMATIC_NAME":"M32412","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-324-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-324-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1269A_MIR1269B","SYSTEMATIC_NAME":"M32413","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1269a","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1269a, hsa-miR-1269b in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6747_5P","SYSTEMATIC_NAME":"M32414","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6747-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6747-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6802_3P","SYSTEMATIC_NAME":"M32415","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6802-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6802-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR378B","SYSTEMATIC_NAME":"M32416","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-378b","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-378b in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR422A","SYSTEMATIC_NAME":"M32417","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-422a","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-422a in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR556_5P","SYSTEMATIC_NAME":"M32418","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-556-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-556-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6769A_5P","SYSTEMATIC_NAME":"M32419","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6769a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6769a-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5002_3P","SYSTEMATIC_NAME":"M32420","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5002-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5002-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3945","SYSTEMATIC_NAME":"M32421","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3945","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3945 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3151_3P","SYSTEMATIC_NAME":"M32422","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3151-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3151-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4312","SYSTEMATIC_NAME":"M32423","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4312","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4312 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6879_3P","SYSTEMATIC_NAME":"M32424","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6879-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6879-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1911_3P","SYSTEMATIC_NAME":"M32425","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1911-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1911-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR378F","SYSTEMATIC_NAME":"M32426","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-378f","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-378f in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR769_5P","SYSTEMATIC_NAME":"M32427","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-769-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-769-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR323A_5P","SYSTEMATIC_NAME":"M32428","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-323a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-323a-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR219B_5P","SYSTEMATIC_NAME":"M32429","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-219b-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-219b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1225_5P","SYSTEMATIC_NAME":"M32430","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1225-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1225-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR193A_5P","SYSTEMATIC_NAME":"M32431","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-193a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-193a-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4536_5P","SYSTEMATIC_NAME":"M32432","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4536-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4536-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6742_5P","SYSTEMATIC_NAME":"M32433","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6742-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6742-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6790_5P","SYSTEMATIC_NAME":"M32434","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6790-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6790-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1287_3P","SYSTEMATIC_NAME":"M32435","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1287-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1287-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3619_3P","SYSTEMATIC_NAME":"M32436","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3619-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3619-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6085","SYSTEMATIC_NAME":"M32437","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6085","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6085 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR920","SYSTEMATIC_NAME":"M32438","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-920","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-920 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6841_5P","SYSTEMATIC_NAME":"M32439","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6841-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6841-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR92A_1_5P","SYSTEMATIC_NAME":"M32440","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-92a-1-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-92a-1-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6894_5P","SYSTEMATIC_NAME":"M32441","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6894-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6894-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7108_5P","SYSTEMATIC_NAME":"M32442","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7108-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7108-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1298_5P","SYSTEMATIC_NAME":"M32443","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1298-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1298-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1180_5P","SYSTEMATIC_NAME":"M32444","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1180-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1180-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4658","SYSTEMATIC_NAME":"M32445","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4658","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4658 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR648","SYSTEMATIC_NAME":"M32446","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-648","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-648 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4776_5P","SYSTEMATIC_NAME":"M32447","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4776-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4776-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR323B_5P","SYSTEMATIC_NAME":"M32448","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-323b-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-323b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6726_5P","SYSTEMATIC_NAME":"M32449","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6726-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6726-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4713_3P","SYSTEMATIC_NAME":"M32450","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4713-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4713-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR23B_5P","SYSTEMATIC_NAME":"M32451","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-23b-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-23b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4433A_5P","SYSTEMATIC_NAME":"M32452","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4433a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4433a-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6508_3P","SYSTEMATIC_NAME":"M32453","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6508-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6508-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR12126","SYSTEMATIC_NAME":"M32454","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-12126","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-12126 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR555","SYSTEMATIC_NAME":"M32455","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-555","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-555 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4529_3P","SYSTEMATIC_NAME":"M32456","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4529-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4529-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR103B","SYSTEMATIC_NAME":"M32457","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-103b","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-103b in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR410_5P","SYSTEMATIC_NAME":"M32458","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-410-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-410-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR494_5P","SYSTEMATIC_NAME":"M32459","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-494-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-494-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6808_3P","SYSTEMATIC_NAME":"M32460","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6808-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6808-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1296_3P","SYSTEMATIC_NAME":"M32461","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1296-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1296-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6773_5P","SYSTEMATIC_NAME":"M32462","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6773-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6773-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4633_5P","SYSTEMATIC_NAME":"M32463","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4633-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4633-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1193","SYSTEMATIC_NAME":"M32464","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1193","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1193 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR627_5P","SYSTEMATIC_NAME":"M32465","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-627-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-627-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4694_5P","SYSTEMATIC_NAME":"M32466","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4694-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4694-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6895_5P","SYSTEMATIC_NAME":"M32467","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6895-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6895-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7153_3P","SYSTEMATIC_NAME":"M32468","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7153-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7153-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR550B_2_5P","SYSTEMATIC_NAME":"M32469","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-550b-2-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-550b-2-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3670","SYSTEMATIC_NAME":"M32470","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3670","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3670 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6784_3P","SYSTEMATIC_NAME":"M32471","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6784-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6784-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6743_5P","SYSTEMATIC_NAME":"M32472","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6743-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6743-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3135A","SYSTEMATIC_NAME":"M32473","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3135a","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3135a in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6819_3P","SYSTEMATIC_NAME":"M32474","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6819-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6819-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4482_5P","SYSTEMATIC_NAME":"M32475","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4482-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4482-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR711","SYSTEMATIC_NAME":"M32476","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-711","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-711 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6813_5P","SYSTEMATIC_NAME":"M32477","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6813-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6813-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR621","SYSTEMATIC_NAME":"M32478","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-621","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-621 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3174","SYSTEMATIC_NAME":"M32479","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3174","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3174 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6877_3P","SYSTEMATIC_NAME":"M32480","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6877-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6877-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR656_5P","SYSTEMATIC_NAME":"M32481","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-656-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-656-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3117_3P","SYSTEMATIC_NAME":"M32482","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3117-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3117-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR2681_3P","SYSTEMATIC_NAME":"M32483","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-2681-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-2681-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1298_3P","SYSTEMATIC_NAME":"M32484","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1298-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1298-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR409_5P","SYSTEMATIC_NAME":"M32485","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-409-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-409-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR424_3P","SYSTEMATIC_NAME":"M32486","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-424-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-424-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1909_5P","SYSTEMATIC_NAME":"M32487","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1909-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1909-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3675_5P","SYSTEMATIC_NAME":"M32488","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3675-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3675-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR563","SYSTEMATIC_NAME":"M32489","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-563","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-563 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4703_3P","SYSTEMATIC_NAME":"M32490","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4703-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4703-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4661_5P","SYSTEMATIC_NAME":"M32491","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4661-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4661-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1229_5P","SYSTEMATIC_NAME":"M32492","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1229-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1229-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6813_3P","SYSTEMATIC_NAME":"M32493","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6813-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6813-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR645","SYSTEMATIC_NAME":"M32494","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-645","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-645 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR12114","SYSTEMATIC_NAME":"M32495","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-12114","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-12114 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR652_5P","SYSTEMATIC_NAME":"M32496","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-652-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-652-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3943","SYSTEMATIC_NAME":"M32497","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3943","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3943 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR215_5P","SYSTEMATIC_NAME":"M32498","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-215-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-215-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1245A","SYSTEMATIC_NAME":"M32499","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1245a","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1245a in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6874_5P","SYSTEMATIC_NAME":"M32500","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6874-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6874-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR375_3P","SYSTEMATIC_NAME":"M32501","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-375-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-375-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR15A_3P","SYSTEMATIC_NAME":"M32502","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-15a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-15a-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR609","SYSTEMATIC_NAME":"M32503","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-609","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-609 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6816_3P","SYSTEMATIC_NAME":"M32504","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6816-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6816-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6755_5P","SYSTEMATIC_NAME":"M32505","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6755-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6755-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR135A_3P","SYSTEMATIC_NAME":"M32506","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-135a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-135a-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3126_3P","SYSTEMATIC_NAME":"M32507","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3126-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3126-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR192_5P","SYSTEMATIC_NAME":"M32508","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-192-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-192-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR9900","SYSTEMATIC_NAME":"M32509","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-9900","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-9900 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4323","SYSTEMATIC_NAME":"M32510","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4323","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4323 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR296_3P","SYSTEMATIC_NAME":"M32511","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-296-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-296-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4687_5P","SYSTEMATIC_NAME":"M32512","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4687-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4687-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7106_3P","SYSTEMATIC_NAME":"M32513","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7106-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7106-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548Q","SYSTEMATIC_NAME":"M32514","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548q","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548q in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1296_5P","SYSTEMATIC_NAME":"M32515","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1296-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1296-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4652_5P","SYSTEMATIC_NAME":"M32516","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4652-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4652-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4781_3P","SYSTEMATIC_NAME":"M32517","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4781-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4781-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR208B_3P","SYSTEMATIC_NAME":"M32518","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-208b-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-208b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4780","SYSTEMATIC_NAME":"M32519","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4780","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4780 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR503_3P","SYSTEMATIC_NAME":"M32520","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-503-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-503-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR12130","SYSTEMATIC_NAME":"M32521","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-12130","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-12130 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5591_3P","SYSTEMATIC_NAME":"M32522","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5591-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5591-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR8079","SYSTEMATIC_NAME":"M32523","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-8079","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-8079 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6846_3P","SYSTEMATIC_NAME":"M32524","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6846-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6846-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR208A_3P","SYSTEMATIC_NAME":"M32525","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-208a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-208a-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6859_3P","SYSTEMATIC_NAME":"M32526","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6859-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6859-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR328_3P","SYSTEMATIC_NAME":"M32527","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-328-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-328-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6890_5P","SYSTEMATIC_NAME":"M32528","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6890-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6890-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3157_3P","SYSTEMATIC_NAME":"M32529","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3157-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3157-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3529_5P","SYSTEMATIC_NAME":"M32530","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3529-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3529-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5088_5P","SYSTEMATIC_NAME":"M32531","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5088-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5088-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR151A_3P","SYSTEMATIC_NAME":"M32532","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-151a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-151a-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR2114_5P","SYSTEMATIC_NAME":"M32533","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-2114-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-2114-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7973","SYSTEMATIC_NAME":"M32534","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7973","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7973 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR758_5P","SYSTEMATIC_NAME":"M32535","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-758-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-758-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6805_5P","SYSTEMATIC_NAME":"M32536","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6805-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6805-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3158_3P","SYSTEMATIC_NAME":"M32537","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3158-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3158-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR8071","SYSTEMATIC_NAME":"M32538","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-8071","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-8071 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4507","SYSTEMATIC_NAME":"M32539","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4507","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4507 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR10400_3P_MIR4674","SYSTEMATIC_NAME":"M32540","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-10400-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-10400-3p, hsa-miR-4674 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3085_5P","SYSTEMATIC_NAME":"M32541","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3085-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3085-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5684","SYSTEMATIC_NAME":"M32542","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5684","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5684 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6738_5P","SYSTEMATIC_NAME":"M32543","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6738-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6738-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3940_5P","SYSTEMATIC_NAME":"M32544","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3940-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3940-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1178_5P","SYSTEMATIC_NAME":"M32545","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1178-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1178-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6782_5P","SYSTEMATIC_NAME":"M32546","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6782-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6782-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548AD_3P","SYSTEMATIC_NAME":"M32547","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548ad-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548ad-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR769_3P","SYSTEMATIC_NAME":"M32548","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-769-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-769-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR601","SYSTEMATIC_NAME":"M32549","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-601","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-601 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR8058","SYSTEMATIC_NAME":"M32550","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-8058","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-8058 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR27A_5P","SYSTEMATIC_NAME":"M32551","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-27a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-27a-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3622A_5P","SYSTEMATIC_NAME":"M32552","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3622a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3622a-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR663B","SYSTEMATIC_NAME":"M32553","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-663b","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-663b in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR10A_3P","SYSTEMATIC_NAME":"M32554","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-10a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-10a-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5010_5P","SYSTEMATIC_NAME":"M32555","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5010-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5010-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR615_5P","SYSTEMATIC_NAME":"M32556","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-615-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-615-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1914_3P","SYSTEMATIC_NAME":"M32557","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1914-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1914-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4999_3P","SYSTEMATIC_NAME":"M32558","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4999-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4999-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6735_3P","SYSTEMATIC_NAME":"M32559","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6735-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6735-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4633_3P_MIR6500_5P","SYSTEMATIC_NAME":"M32560","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4633-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4633-3p, hsa-miR-6500-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3684","SYSTEMATIC_NAME":"M32561","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3684","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3684 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4525","SYSTEMATIC_NAME":"M32562","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4525","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4525 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4750_3P","SYSTEMATIC_NAME":"M32563","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4750-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4750-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR23A_5P","SYSTEMATIC_NAME":"M32564","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-23a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-23a-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4278","SYSTEMATIC_NAME":"M32565","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4278","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4278 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5191","SYSTEMATIC_NAME":"M32566","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5191","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5191 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6732_5P","SYSTEMATIC_NAME":"M32567","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6732-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6732-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1911_5P","SYSTEMATIC_NAME":"M32568","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1911-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1911-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3681_5P","SYSTEMATIC_NAME":"M32569","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3681-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3681-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6835_5P","SYSTEMATIC_NAME":"M32570","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6835-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6835-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4800_5P","SYSTEMATIC_NAME":"M32571","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4800-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4800-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3147","SYSTEMATIC_NAME":"M32572","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3147","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3147 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4751","SYSTEMATIC_NAME":"M32573","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4751","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4751 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4433B_3P","SYSTEMATIC_NAME":"M32574","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4433b-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4433b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4423_5P","SYSTEMATIC_NAME":"M32575","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4423-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4423-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6862_3P","SYSTEMATIC_NAME":"M32576","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6862-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6862-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6503_3P","SYSTEMATIC_NAME":"M32577","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6503-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6503-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR454_5P","SYSTEMATIC_NAME":"M32578","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-454-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-454-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6849_5P","SYSTEMATIC_NAME":"M32579","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6849-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6849-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4535","SYSTEMATIC_NAME":"M32580","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4535","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4535 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR371B_3P","SYSTEMATIC_NAME":"M32581","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-371b-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-371b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4486","SYSTEMATIC_NAME":"M32582","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4486","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4486 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6069","SYSTEMATIC_NAME":"M32583","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6069","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6069 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR554","SYSTEMATIC_NAME":"M32584","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-554","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-554 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3680_5P","SYSTEMATIC_NAME":"M32585","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3680-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3680-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR492","SYSTEMATIC_NAME":"M32586","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-492","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-492 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1238_3P","SYSTEMATIC_NAME":"M32587","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1238-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1238-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4732_5P","SYSTEMATIC_NAME":"M32588","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4732-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4732-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4727_3P","SYSTEMATIC_NAME":"M32589","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4727-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4727-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR8078","SYSTEMATIC_NAME":"M32590","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-8078","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-8078 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR151A_5P_MIR151B","SYSTEMATIC_NAME":"M32591","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-151a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-151a-5p, hsa-miR-151b in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR325","SYSTEMATIC_NAME":"M32592","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-325","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-325 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6802_5P","SYSTEMATIC_NAME":"M32593","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6802-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6802-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR365B_5P","SYSTEMATIC_NAME":"M32594","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-365b-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-365b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1182","SYSTEMATIC_NAME":"M32595","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1182","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1182 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7160_3P","SYSTEMATIC_NAME":"M32596","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7160-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7160-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6082","SYSTEMATIC_NAME":"M32597","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6082","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6082 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR596","SYSTEMATIC_NAME":"M32598","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-596","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-596 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR12121","SYSTEMATIC_NAME":"M32599","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-12121","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-12121 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR365A_5P","SYSTEMATIC_NAME":"M32600","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-365a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-365a-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4661_3P","SYSTEMATIC_NAME":"M32601","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4661-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4661-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6800_3P","SYSTEMATIC_NAME":"M32602","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6800-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6800-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6767_3P","SYSTEMATIC_NAME":"M32603","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6767-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6767-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7848_3P","SYSTEMATIC_NAME":"M32604","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7848-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7848-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6724_5P","SYSTEMATIC_NAME":"M32605","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6724-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6724-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4453","SYSTEMATIC_NAME":"M32607","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4453","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4453 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1295B_3P","SYSTEMATIC_NAME":"M32608","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1295b-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1295b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3180_MIR3180_3P","SYSTEMATIC_NAME":"M32609","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3180","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3180, hsa-miR-3180-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3649","SYSTEMATIC_NAME":"M32610","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3649","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3649 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4538","SYSTEMATIC_NAME":"M32611","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4538","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4538 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6787_5P","SYSTEMATIC_NAME":"M32612","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6787-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6787-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3677_5P","SYSTEMATIC_NAME":"M32613","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3677-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3677-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR659_5P","SYSTEMATIC_NAME":"M32614","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-659-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-659-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3191_3P","SYSTEMATIC_NAME":"M32615","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3191-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3191-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6753_5P","SYSTEMATIC_NAME":"M32616","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6753-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6753-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3200_3P","SYSTEMATIC_NAME":"M32617","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3200-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3200-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR744_5P","SYSTEMATIC_NAME":"M32618","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-744-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-744-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6816_5P","SYSTEMATIC_NAME":"M32619","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6816-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6816-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR885_3P","SYSTEMATIC_NAME":"M32620","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-885-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-885-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5195_5P","SYSTEMATIC_NAME":"M32621","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5195-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5195-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3162_3P","SYSTEMATIC_NAME":"M32622","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3162-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3162-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4484","SYSTEMATIC_NAME":"M32623","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4484","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4484 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6741_5P","SYSTEMATIC_NAME":"M32624","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6741-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6741-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1282","SYSTEMATIC_NAME":"M32625","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1282","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1282 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1251_5P","SYSTEMATIC_NAME":"M32626","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1251-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1251-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR8086","SYSTEMATIC_NAME":"M32627","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-8086","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-8086 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6789_5P","SYSTEMATIC_NAME":"M32628","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6789-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6789-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1468_5P","SYSTEMATIC_NAME":"M32629","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1468-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1468-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR191_5P","SYSTEMATIC_NAME":"M32630","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-191-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-191-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1277_3P","SYSTEMATIC_NAME":"M32631","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1277-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1277-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3196","SYSTEMATIC_NAME":"M32632","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3196","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3196 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4313","SYSTEMATIC_NAME":"M32633","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4313","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4313 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5687","SYSTEMATIC_NAME":"M32634","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5687","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5687 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR517A_3P_MIR517B_3P_MIR517C_3P","SYSTEMATIC_NAME":"M32635","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-517a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-517a-3p, hsa-miR-517b-3p, hsa-miR-517c-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR10396B_5P","SYSTEMATIC_NAME":"M32636","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-10396b-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-10396b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4790_5P","SYSTEMATIC_NAME":"M32637","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4790-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4790-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4697_5P","SYSTEMATIC_NAME":"M32638","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4697-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4697-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4512","SYSTEMATIC_NAME":"M32639","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4512","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4512 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR663A","SYSTEMATIC_NAME":"M32640","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-663a","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-663a in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4640_3P","SYSTEMATIC_NAME":"M32641","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4640-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4640-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR564","SYSTEMATIC_NAME":"M32642","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-564","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-564 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548AO_3P","SYSTEMATIC_NAME":"M32643","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548ao-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548ao-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3651","SYSTEMATIC_NAME":"M32644","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3651","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3651 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR339_3P","SYSTEMATIC_NAME":"M32645","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-339-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-339-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR604","SYSTEMATIC_NAME":"M32646","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-604","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-604 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1908_5P","SYSTEMATIC_NAME":"M32647","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1908-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1908-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1281","SYSTEMATIC_NAME":"M32648","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1281","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1281 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3678_5P","SYSTEMATIC_NAME":"M32649","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3678-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3678-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4462","SYSTEMATIC_NAME":"M32650","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4462","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4462 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR598_5P","SYSTEMATIC_NAME":"M32651","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-598-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-598-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6889_5P","SYSTEMATIC_NAME":"M32652","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6889-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6889-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6769A_3P","SYSTEMATIC_NAME":"M32653","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6769a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6769a-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR139_3P","SYSTEMATIC_NAME":"M32654","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-139-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-139-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1237_5P_MIR4488","SYSTEMATIC_NAME":"M32655","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1237-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1237-5p, hsa-miR-4488 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR8088","SYSTEMATIC_NAME":"M32656","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-8088","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-8088 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR524_3P_MIR525_3P","SYSTEMATIC_NAME":"M32657","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-524-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-524-3p, hsa-miR-525-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6863","SYSTEMATIC_NAME":"M32658","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6863","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6863 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4536_3P","SYSTEMATIC_NAME":"M32659","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4536-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4536-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4707_5P","SYSTEMATIC_NAME":"M32660","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4707-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4707-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR210_3P","SYSTEMATIC_NAME":"M32661","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-210-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-210-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6506_3P","SYSTEMATIC_NAME":"M32662","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6506-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6506-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR2277_3P","SYSTEMATIC_NAME":"M32663","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-2277-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-2277-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1292_5P","SYSTEMATIC_NAME":"M32664","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1292-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1292-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR933","SYSTEMATIC_NAME":"M32665","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-933","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-933 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR181C_3P","SYSTEMATIC_NAME":"M32666","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-181c-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-181c-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4730","SYSTEMATIC_NAME":"M32667","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4730","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4730 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4281","SYSTEMATIC_NAME":"M32668","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4281","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4281 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1470","SYSTEMATIC_NAME":"M32669","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1470","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1470 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR598_3P","SYSTEMATIC_NAME":"M32670","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-598-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-598-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4787_5P","SYSTEMATIC_NAME":"M32671","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4787-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4787-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR8074","SYSTEMATIC_NAME":"M32672","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-8074","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-8074 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR128_1_5P","SYSTEMATIC_NAME":"M32673","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-128-1-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-128-1-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR548AL","SYSTEMATIC_NAME":"M32674","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-548al","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-548al in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6795_3P","SYSTEMATIC_NAME":"M32675","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6795-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6795-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6765_5P","SYSTEMATIC_NAME":"M32676","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6765-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6765-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3960_MIR8072","SYSTEMATIC_NAME":"M32677","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3960","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3960, hsa-miR-8072 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR100_5P_MIR99A_5P_MIR99B_5P","SYSTEMATIC_NAME":"M32678","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-100-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-100-5p, hsa-miR-99a-5p, hsa-miR-99b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7112_5P","SYSTEMATIC_NAME":"M32679","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7112-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7112-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR128_2_5P","SYSTEMATIC_NAME":"M32680","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-128-2-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-128-2-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4445_3P","SYSTEMATIC_NAME":"M32681","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4445-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4445-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4315","SYSTEMATIC_NAME":"M32682","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4315","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4315 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR136_3P","SYSTEMATIC_NAME":"M32683","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-136-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-136-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6854_3P","SYSTEMATIC_NAME":"M32684","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6854-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6854-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4497","SYSTEMATIC_NAME":"M32685","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4497","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4497 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR10396A_5P","SYSTEMATIC_NAME":"M32686","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-10396a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-10396a-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6089","SYSTEMATIC_NAME":"M32687","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6089","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6089 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7108_3P","SYSTEMATIC_NAME":"M32688","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7108-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7108-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR483_5P","SYSTEMATIC_NAME":"M32689","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-483-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-483-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6729_5P","SYSTEMATIC_NAME":"M32690","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6729-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6729-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR10399_3P","SYSTEMATIC_NAME":"M32691","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-10399-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-10399-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7706","SYSTEMATIC_NAME":"M32692","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7706","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7706 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR122_3P","SYSTEMATIC_NAME":"M32693","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-122-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-122-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6125","SYSTEMATIC_NAME":"M32694","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6125","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6125 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6820_5P","SYSTEMATIC_NAME":"M32695","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6820-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6820-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4520_5P","SYSTEMATIC_NAME":"M32696","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4520-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4520-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4798_3P","SYSTEMATIC_NAME":"M32697","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4798-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4798-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4442","SYSTEMATIC_NAME":"M32698","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4442","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4442 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1180_3P","SYSTEMATIC_NAME":"M32700","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1180-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1180-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4781_5P","SYSTEMATIC_NAME":"M32701","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4781-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4781-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3193","SYSTEMATIC_NAME":"M32702","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3193","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3193 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR371A_3P","SYSTEMATIC_NAME":"M32703","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-371a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-371a-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6090","SYSTEMATIC_NAME":"M32704","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6090","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6090 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR95_3P","SYSTEMATIC_NAME":"M32705","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-95-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-95-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR487B_3P","SYSTEMATIC_NAME":"M32706","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-487b-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-487b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR433_5P","SYSTEMATIC_NAME":"M32707","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-433-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-433-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"LET_7D_3P","SYSTEMATIC_NAME":"M32708","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-let-7d-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-let-7d-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3912_3P","SYSTEMATIC_NAME":"M32709","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3912-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3912-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4485_5P","SYSTEMATIC_NAME":"M32710","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4485-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4485-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4669","SYSTEMATIC_NAME":"M32711","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4669","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4669 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR602","SYSTEMATIC_NAME":"M32712","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-602","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-602 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR887_3P","SYSTEMATIC_NAME":"M32713","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-887-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-887-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5739","SYSTEMATIC_NAME":"M32714","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5739","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5739 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR553","SYSTEMATIC_NAME":"M32715","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-553","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-553 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR92B_5P","SYSTEMATIC_NAME":"M32716","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-92b-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-92b-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR11401","SYSTEMATIC_NAME":"M32717","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-11401","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-11401 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4746_5P","SYSTEMATIC_NAME":"M32720","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4746-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4746-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6814_3P_MIR6872_5P","SYSTEMATIC_NAME":"M32721","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6814-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6814-3p, hsa-miR-6872-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR184","SYSTEMATIC_NAME":"M32722","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-184","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-184 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR10392_3P","SYSTEMATIC_NAME":"M32723","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-10392-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-10392-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR8053","SYSTEMATIC_NAME":"M32724","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-8053","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-8053 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR132_5P","SYSTEMATIC_NAME":"M32725","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-132-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-132-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6788_3P","SYSTEMATIC_NAME":"M32726","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6788-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6788-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR147B_3P","SYSTEMATIC_NAME":"M32727","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-147b-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-147b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR11400","SYSTEMATIC_NAME":"M32728","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-11400","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-11400 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1204","SYSTEMATIC_NAME":"M32729","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1204","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1204 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1268A_MIR1268B","SYSTEMATIC_NAME":"M32730","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1268a","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1268a, hsa-miR-1268b in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6853_5P","SYSTEMATIC_NAME":"M32731","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6853-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6853-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3615","SYSTEMATIC_NAME":"M32734","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3615","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3615 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5092","SYSTEMATIC_NAME":"M32735","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5092","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5092 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR10401_3P","SYSTEMATIC_NAME":"M32736","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-10401-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-10401-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6886_5P","SYSTEMATIC_NAME":"M32737","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6886-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6886-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4804_5P","SYSTEMATIC_NAME":"M32739","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4804-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4804-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6777_5P","SYSTEMATIC_NAME":"M32740","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6777-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6777-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1537_3P","SYSTEMATIC_NAME":"M32741","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1537-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1537-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR551A_MIR551B_3P","SYSTEMATIC_NAME":"M32742","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-551a","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-551a, hsa-miR-551b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR10398_3P","SYSTEMATIC_NAME":"M32744","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-10398-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-10398-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4649_5P","SYSTEMATIC_NAME":"M32745","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4649-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4649-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1539","SYSTEMATIC_NAME":"M32746","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1539","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1539 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1250_5P","SYSTEMATIC_NAME":"M32748","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1250-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1250-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR518A_3P_MIR518B_MIR518C_3P_MIR518D_3P_MIR518F_3P_MIR526A_3P","SYSTEMATIC_NAME":"M32749","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-518a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-518a-3p, hsa-miR-518b, hsa-miR-518c-3p, hsa-miR-518d-3p, hsa-miR-518f-3p, hsa-miR-526a-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR381_5P","SYSTEMATIC_NAME":"M32751","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-381-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-381-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4671_5P","SYSTEMATIC_NAME":"M32752","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4671-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4671-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1973","SYSTEMATIC_NAME":"M32753","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1973","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1973 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR5705","SYSTEMATIC_NAME":"M32754","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-5705","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-5705 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4740_3P","SYSTEMATIC_NAME":"M32755","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4740-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4740-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6775_5P","SYSTEMATIC_NAME":"M32757","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6775-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6775-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3197","SYSTEMATIC_NAME":"M32758","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3197","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3197 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3186_5P","SYSTEMATIC_NAME":"M32759","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3186-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3186-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6774_3P","SYSTEMATIC_NAME":"M32760","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6774-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6774-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3683","SYSTEMATIC_NAME":"M32763","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3683","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3683 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR181A_3P","SYSTEMATIC_NAME":"M32764","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-181a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-181a-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4636","SYSTEMATIC_NAME":"M32765","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4636","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4636 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR7704","SYSTEMATIC_NAME":"M32766","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-7704","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-7704 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4321","SYSTEMATIC_NAME":"M32767","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4321","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4321 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3677_3P","SYSTEMATIC_NAME":"M32768","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3677-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3677-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR615_3P","SYSTEMATIC_NAME":"M32769","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-615-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-615-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4681","SYSTEMATIC_NAME":"M32770","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4681","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4681 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6717_5P","SYSTEMATIC_NAME":"M32773","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6717-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6717-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR3177_3P","SYSTEMATIC_NAME":"M32776","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-3177-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-3177-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR101_2_5P","SYSTEMATIC_NAME":"M32779","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-101-2-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-101-2-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR196B_3P","SYSTEMATIC_NAME":"M32780","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-196b-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-196b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4258","SYSTEMATIC_NAME":"M32781","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4258","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4258 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4537","SYSTEMATIC_NAME":"M32783","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4537","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4537 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR516A_5P","SYSTEMATIC_NAME":"M32786","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-516a-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-516a-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1247_5P","SYSTEMATIC_NAME":"M32788","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1247-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1247-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4737","SYSTEMATIC_NAME":"M32789","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4737","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4737 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR105_3P","SYSTEMATIC_NAME":"M32790","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-105-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-105-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR662","SYSTEMATIC_NAME":"M32791","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-662","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-662 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4444","SYSTEMATIC_NAME":"M32792","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4444","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4444 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1273C","SYSTEMATIC_NAME":"M32793","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1273c","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1273c in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR652_3P","SYSTEMATIC_NAME":"M32795","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-652-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-652-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR1203","SYSTEMATIC_NAME":"M32796","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-1203","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-1203 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR127_3P","SYSTEMATIC_NAME":"M32797","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-127-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-127-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR10396A_3P_MIR10396B_3P","SYSTEMATIC_NAME":"M32798","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-10396a-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-10396a-3p, hsa-miR-10396b-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6746_5P","SYSTEMATIC_NAME":"M32800","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6746-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6746-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR25_5P","SYSTEMATIC_NAME":"M32810","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-25-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-25-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"LET_7E_3P","SYSTEMATIC_NAME":"M32812","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-let-7e-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-let-7e-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6770_3P","SYSTEMATIC_NAME":"M32813","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6770-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6770-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR9899","SYSTEMATIC_NAME":"M32816","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-9899","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-9899 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR412_5P","SYSTEMATIC_NAME":"M32817","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-412-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-412-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR451A","SYSTEMATIC_NAME":"M32818","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-451a","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-451a in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR574_3P","SYSTEMATIC_NAME":"M32822","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-574-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-574-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4749_5P","SYSTEMATIC_NAME":"M32825","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4749-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4749-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6741_3P","SYSTEMATIC_NAME":"M32828","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6741-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6741-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4638_5P","SYSTEMATIC_NAME":"M32830","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4638-5p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4638-5p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR6790_3P","SYSTEMATIC_NAME":"M32838","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-6790-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-6790-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"MIR4440","SYSTEMATIC_NAME":"M32839","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-miR-4440","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-miR-4440 in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"LET_7I_3P","SYSTEMATIC_NAME":"M32840","ORGANISM":"Homo sapiens","PMID":"31504780","EXTERNAL_DETAILS_URL":"http://mirdb.org/cgi-bin/mature_mir.cgi?name=hsa-let-7i-3p","CHIP":"Human_RefSeq","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIRDB","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes predicted to be targets of miRBase v22 microRNA hsa-let-7i-3p in miRDB v6.0 with MirTarget v4 prediction scores > 80 (high confidence targets)."}
{"STANDARD_NAME":"AGCACTT_MIR93_MIR302A_MIR302B_MIR302C_MIR302D_MIR372_MIR373_MIR520E_MIR520A_MIR526B_MIR520B_MIR520C_MIR520D","SYSTEMATIC_NAME":"M7785","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif AGCACTT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNAs hsa-miR-93, hsa-miR-302a, hsa-miR-302b, hsa-miR-302c, hsa-miR-302d, hsa-miR-372, hsa-miR-373, hsa-miR-520e, hsa-miR-520a, hsa-miR-526b*, hsa-miR-520b, hsa-miR-520c and hsa-miR-520d (v7.1 miRBase)."}
{"STANDARD_NAME":"CTACCTC_LET7A_LET7B_LET7C_LET7D_LET7E_LET7F_MIR98_LET7G_LET7I","SYSTEMATIC_NAME":"M6394","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif CTACCTC in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNAs hsa-let-7a, hsa-let-7b, hsa-let-7c, hsa-let-7d, hsa-let-7e, hsa-let-7f, hsa-miR-98, hsa-let-7g and hsa-let-7i (v7.1 miRBase)."}
{"STANDARD_NAME":"GCACTTT_MIR175P_MIR20A_MIR106A_MIR106B_MIR20B_MIR519D","SYSTEMATIC_NAME":"M18759","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif GCACTTT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNAs hsa-miR-17-5p, hsa-miR-20a, hsa-miR-106a, hsa-miR-106b, hsa-miR-20b and hsa-miR-519d (v7.1 miRBase)."}
{"STANDARD_NAME":"TGCTGCT_MIR15A_MIR16_MIR15B_MIR195_MIR424_MIR497","SYSTEMATIC_NAME":"M10635","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif TGCTGCT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNAs hsa-miR-15a, hsa-miR-16, hsa-miR-15b, hsa-miR-195, hsa-miR-424 and hsa-miR-497 (v7.1 miRBase)."}
{"STANDARD_NAME":"TGTTTAC_MIR30A5P_MIR30C_MIR30D_MIR30B_MIR30E5P","SYSTEMATIC_NAME":"M14709","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif TGTTTAC in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNAs hsa-miR-30a-5p, hsa-miR-30c, hsa-miR-30d, hsa-miR-30b and hsa-miR-30e-5p (v7.1 miRBase)."}
{"STANDARD_NAME":"GTGCAAT_MIR25_MIR32_MIR92_MIR363_MIR367","SYSTEMATIC_NAME":"M4820","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif GTGCAAT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNAs hsa-miR-25, hsa-miR-32, hsa-miR-92, hsa-miR-363 and hsa-miR-367 (v7.1 miRBase)."}
{"STANDARD_NAME":"TGAATGT_MIR181A_MIR181B_MIR181C_MIR181D","SYSTEMATIC_NAME":"M7677","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif TGAATGT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNAs hsa-miR-181a, hsa-miR-181b, hsa-miR-181c and hsa-miR-181d (v7.1 miRBase)."}
{"STANDARD_NAME":"GCGCTTT_MIR518B_MIR518C_MIR518D","SYSTEMATIC_NAME":"M11751","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif GCGCTTT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNAs hsa-miR-518b, hsa-miR-518c and hsa-miR-518d (v7.1 miRBase)."}
{"STANDARD_NAME":"TGGTGCT_MIR29A_MIR29B_MIR29C","SYSTEMATIC_NAME":"M10105","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif TGGTGCT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNAs hsa-miR-29a, hsa-miR-29b and hsa-miR-29c (v7.1 miRBase)."}
{"STANDARD_NAME":"TGCACTG_MIR148A_MIR152_MIR148B","SYSTEMATIC_NAME":"M5012","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif TGCACTG in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNAs hsa-miR-148a, hsa-miR-152 and hsa-miR-148b (v7.1 miRBase)."}
{"STANDARD_NAME":"CACTGCC_MIR34A_MIR34C_MIR449","SYSTEMATIC_NAME":"M19534","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif CACTGCC in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNAs hsa-miR-34a, hsa-miR-34c and hsa-miR-449 (v7.1 miRBase)."}
{"STANDARD_NAME":"TACGGGT_MIR99A_MIR100_MIR99B","SYSTEMATIC_NAME":"M7768","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif TACGGGT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNAs hsa-miR-99a, hsa-miR-100 and hsa-miR-99b (v7.1 miRBase)."}
{"STANDARD_NAME":"CTCTAGA_MIR526C_MIR518F_MIR526A","SYSTEMATIC_NAME":"M12019","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif CTCTAGA in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNAs hsa-miR-526c, hsa-miR-518f* and hsa-miR-526a (v7.1 miRBase)."}
{"STANDARD_NAME":"TTGCACT_MIR130A_MIR301_MIR130B","SYSTEMATIC_NAME":"M8862","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif TTGCACT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNAs hsa-miR-130a, hsa-miR-301 and hsa-miR-130b (v7.1 miRBase)."}
{"STANDARD_NAME":"TGCACTT_MIR519C_MIR519B_MIR519A","SYSTEMATIC_NAME":"M10705","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif TGCACTT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNAs hsa-miR-519c, hsa-miR-519b and hsa-miR-519a (v7.1 miRBase)."}
{"STANDARD_NAME":"AGCGCTT_MIR518F_MIR518E_MIR518A","SYSTEMATIC_NAME":"M12158","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif AGCGCTT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNAs hsa-miR-518f, hsa-miR-518e and hsa-miR-518a (v7.1 miRBase)."}
{"STANDARD_NAME":"CAGTATT_MIR200B_MIR200C_MIR429","SYSTEMATIC_NAME":"M19078","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif CAGTATT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNAs hsa-miR-200b, hsa-miR-200c and hsa-miR-429 (v7.1 miRBase)."}
{"STANDARD_NAME":"ACATTCC_MIR1_MIR206","SYSTEMATIC_NAME":"M13555","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif ACATTCC in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNAs hsa-miR-1 and hsa-miR-206 (v7.1 miRBase)."}
{"STANDARD_NAME":"AAGTCCA_MIR422B_MIR422A","SYSTEMATIC_NAME":"M10743","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif AAGTCCA in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNAs hsa-miR-422b and hsa-miR-422a (v7.1 miRBase)."}
{"STANDARD_NAME":"AAAGGGA_MIR204_MIR211","SYSTEMATIC_NAME":"M13700","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif AAAGGGA in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNAs hsa-miR-204 and hsa-miR-211 (v7.1 miRBase)."}
{"STANDARD_NAME":"AATGTGA_MIR23A_MIR23B","SYSTEMATIC_NAME":"M8758","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif AATGTGA in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNAs hsa-miR-23a and hsa-miR-23b (v7.1 miRBase)."}
{"STANDARD_NAME":"CACTGTG_MIR128A_MIR128B","SYSTEMATIC_NAME":"M7662","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif CACTGTG in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNAs hsa-miR-128a and hsa-miR-128b (v7.1 miRBase)."}
{"STANDARD_NAME":"ACTGAAA_MIR30A3P_MIR30E3P","SYSTEMATIC_NAME":"M5238","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif ACTGAAA in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNAs hsa-miR-30a-3p and hsa-miR-30e-3p (v7.1 miRBase)."}
{"STANDARD_NAME":"CTCAGGG_MIR125B_MIR125A","SYSTEMATIC_NAME":"M3398","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif CTCAGGG in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNAs hsa-miR-125b and hsa-miR-125a (v7.1 miRBase)."}
{"STANDARD_NAME":"TACTTGA_MIR26A_MIR26B","SYSTEMATIC_NAME":"M9307","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif TACTTGA in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNAs hsa-miR-26a and hsa-miR-26b (v7.1 miRBase)."}
{"STANDARD_NAME":"TCTATGA_MIR376A_MIR376B","SYSTEMATIC_NAME":"M8740","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif TCTATGA in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNAs hsa-miR-376a and hsa-miR-376b (v7.1 miRBase)."}
{"STANDARD_NAME":"GTATGAT_MIR154_MIR487","SYSTEMATIC_NAME":"M15360","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif GTATGAT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNAs hsa-miR-154* and hsa-miR-487 (v7.1 miRBase)."}
{"STANDARD_NAME":"CAGTGTT_MIR141_MIR200A","SYSTEMATIC_NAME":"M19022","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif CAGTGTT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNAs hsa-miR-141 and hsa-miR-200a (v7.1 miRBase)."}
{"STANDARD_NAME":"AGTTCTC_MIR146A_MIR146B","SYSTEMATIC_NAME":"M981","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif AGTTCTC in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNAs hsa-miR-146a and hsa-miR-146b (v7.1 miRBase)."}
{"STANDARD_NAME":"TAGGTCA_MIR192_MIR215","SYSTEMATIC_NAME":"M8771","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif TAGGTCA in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNAs hsa-miR-192 and hsa-miR-215 (v7.1 miRBase)."}
{"STANDARD_NAME":"ATGTAGC_MIR221_MIR222","SYSTEMATIC_NAME":"M17985","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif ATGTAGC in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNAs hsa-miR-221 and hsa-miR-222 (v7.1 miRBase)."}
{"STANDARD_NAME":"ACTGTGA_MIR27A_MIR27B","SYSTEMATIC_NAME":"M8329","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif ACTGTGA in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNAs hsa-miR-27a and hsa-miR-27b (v7.1 miRBase)."}
{"STANDARD_NAME":"TGCACGA_MIR517A_MIR517C","SYSTEMATIC_NAME":"M7557","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif TGCACGA in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNAs hsa-miR-517a and hsa-miR-517c (v7.1 miRBase)."}
{"STANDARD_NAME":"TTTGCAC_MIR19A_MIR19B","SYSTEMATIC_NAME":"M16238","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif TTTGCAC in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNAs hsa-miR-19a and hsa-miR-19b (v7.1 miRBase)."}
{"STANDARD_NAME":"ACTACCT_MIR196A_MIR196B","SYSTEMATIC_NAME":"M10291","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif ACTACCT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNAs hsa-miR-196a and hsa-miR-196b (v7.1 miRBase)."}
{"STANDARD_NAME":"TTGGAGA_MIR5155P_MIR519E","SYSTEMATIC_NAME":"M1425","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif TTGGAGA in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNAs hsa-miR-515-5p and hsa-miR-519e* (v7.1 miRBase)."}
{"STANDARD_NAME":"CACTTTG_MIR520G_MIR520H","SYSTEMATIC_NAME":"M698","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif CACTTTG in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNAs hsa-miR-520g and hsa-miR-520h (v7.1 miRBase)."}
{"STANDARD_NAME":"GGGACCA_MIR133A_MIR133B","SYSTEMATIC_NAME":"M10098","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif GGGACCA in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNAs hsa-miR-133a and hsa-miR-133b (v7.1 miRBase)."}
{"STANDARD_NAME":"GACTGTT_MIR212_MIR132","SYSTEMATIC_NAME":"M8005","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif GACTGTT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNAs hsa-miR-212 and hsa-miR-132 (v7.1 miRBase)."}
{"STANDARD_NAME":"AAGCCAT_MIR135A_MIR135B","SYSTEMATIC_NAME":"M10975","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif AAGCCAT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNAs hsa-miR-135a and hsa-miR-135b (v7.1 miRBase)."}
{"STANDARD_NAME":"ATGCTGC_MIR103_MIR107","SYSTEMATIC_NAME":"M6070","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif ATGCTGC in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNAs hsa-miR-103 and hsa-miR-107 (v7.1 miRBase)."}
{"STANDARD_NAME":"ACAGGGT_MIR10A_MIR10B","SYSTEMATIC_NAME":"M9409","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif ACAGGGT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNAs hsa-miR-10a and hsa-miR-10b (v7.1 miRBase)."}
{"STANDARD_NAME":"CTCTGGA_MIR520A_MIR525","SYSTEMATIC_NAME":"M4317","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif CTCTGGA in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNAs hsa-miR-520a* and hsa-miR-525 (v7.1 miRBase)."}
{"STANDARD_NAME":"GCGCCTT_MIR525_MIR524","SYSTEMATIC_NAME":"M7085","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif GCGCCTT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNAs hsa-miR-525* and hsa-miR-524 (v7.1 miRBase)."}
{"STANDARD_NAME":"ACACTGG_MIR199A_MIR199B","SYSTEMATIC_NAME":"M19379","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif ACACTGG in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNAs hsa-miR-199a and hsa-miR-199b (v7.1 miRBase)."}
{"STANDARD_NAME":"GCACCTT_MIR18A_MIR18B","SYSTEMATIC_NAME":"M1010","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif GCACCTT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNAs hsa-miR-18a and hsa-miR-18b (v7.1 miRBase)."}
{"STANDARD_NAME":"GGCCAGT_MIR193A_MIR193B","SYSTEMATIC_NAME":"M2722","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif GGCCAGT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNAs hsa-miR-193a and hsa-miR-193b (v7.1 miRBase)."}
{"STANDARD_NAME":"CGCTGCT_MIR503","SYSTEMATIC_NAME":"M19501","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif CGCTGCT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-503 (v7.1 miRBase)."}
{"STANDARD_NAME":"TCTGATC_MIR383","SYSTEMATIC_NAME":"M19087","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif TCTGATC in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-383 (v7.1 miRBase)."}
{"STANDARD_NAME":"GTGCCTT_MIR506","SYSTEMATIC_NAME":"M12100","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif GTGCCTT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-506 (v7.1 miRBase)."}
{"STANDARD_NAME":"ACAACTT_MIR382","SYSTEMATIC_NAME":"M7604","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif ACAACTT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-382 (v7.1 miRBase)."}
{"STANDARD_NAME":"ATGTTAA_MIR302C","SYSTEMATIC_NAME":"M11880","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif ATGTTAA in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-302c* (v7.1 miRBase)."}
{"STANDARD_NAME":"GGATCCG_MIR127","SYSTEMATIC_NAME":"M16800","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif GGATCCG in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-127 (v7.1 miRBase)."}
{"STANDARD_NAME":"CATTTCA_MIR203","SYSTEMATIC_NAME":"M1248","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif CATTTCA in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-203 (v7.1 miRBase)."}
{"STANDARD_NAME":"TCCAGAT_MIR5165P","SYSTEMATIC_NAME":"M14510","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif TCCAGAT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-516-5p (v7.1 miRBase)."}
{"STANDARD_NAME":"AGTCAGC_MIR345","SYSTEMATIC_NAME":"M15251","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif AGTCAGC in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-345 (v7.1 miRBase)."}
{"STANDARD_NAME":"ACACTCC_MIR122A","SYSTEMATIC_NAME":"M16508","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif ACACTCC in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-122a (v7.1 miRBase)."}
{"STANDARD_NAME":"GTGTGAG_MIR342","SYSTEMATIC_NAME":"M16629","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif GTGTGAG in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-342 (v7.1 miRBase)."}
{"STANDARD_NAME":"CTAGGAA_MIR384","SYSTEMATIC_NAME":"M12179","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif CTAGGAA in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-384 (v7.1 miRBase)."}
{"STANDARD_NAME":"CTATGCA_MIR153","SYSTEMATIC_NAME":"M11567","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif CTATGCA in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-153 (v7.1 miRBase)."}
{"STANDARD_NAME":"AGGGCAG_MIR18A","SYSTEMATIC_NAME":"M9715","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif AGGGCAG in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-18a* (v7.1 miRBase)."}
{"STANDARD_NAME":"GTGCCAT_MIR183","SYSTEMATIC_NAME":"M9559","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif GTGCCAT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-183 (v7.1 miRBase)."}
{"STANDARD_NAME":"ACTGCAG_MIR173P","SYSTEMATIC_NAME":"M11571","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif ACTGCAG in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-17-3p (v7.1 miRBase)."}
{"STANDARD_NAME":"GTTTGTT_MIR495","SYSTEMATIC_NAME":"M6405","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif GTTTGTT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-495 (v7.1 miRBase)."}
{"STANDARD_NAME":"TATTATA_MIR374","SYSTEMATIC_NAME":"M11229","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif TATTATA in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-374 (v7.1 miRBase)."}
{"STANDARD_NAME":"CTTGTAT_MIR381","SYSTEMATIC_NAME":"M7348","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif CTTGTAT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-381 (v7.1 miRBase)."}
{"STANDARD_NAME":"AAAGGAT_MIR501","SYSTEMATIC_NAME":"M3708","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif AAAGGAT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-501 (v7.1 miRBase)."}
{"STANDARD_NAME":"GGGGCCC_MIR296","SYSTEMATIC_NAME":"M18279","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif GGGGCCC in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-296 (v7.1 miRBase)."}
{"STANDARD_NAME":"CTACTGT_MIR199A","SYSTEMATIC_NAME":"M3598","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif CTACTGT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-199a* (v7.1 miRBase)."}
{"STANDARD_NAME":"CAAGGAT_MIR362","SYSTEMATIC_NAME":"M14975","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif CAAGGAT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-362 (v7.1 miRBase)."}
{"STANDARD_NAME":"GTGTTGA_MIR505","SYSTEMATIC_NAME":"M13162","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif GTGTTGA in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-505 (v7.1 miRBase)."}
{"STANDARD_NAME":"ATACTGT_MIR144","SYSTEMATIC_NAME":"M19058","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif ATACTGT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-144 (v7.1 miRBase)."}
{"STANDARD_NAME":"TGTATGA_MIR4853P","SYSTEMATIC_NAME":"M7949","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif TGTATGA in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-485-3p (v7.1 miRBase)."}
{"STANDARD_NAME":"GTATTAT_MIR3693P","SYSTEMATIC_NAME":"M18289","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif GTATTAT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-369-3p (v7.1 miRBase)."}
{"STANDARD_NAME":"TCCCCAC_MIR491","SYSTEMATIC_NAME":"M13344","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif TCCCCAC in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-491 (v7.1 miRBase)."}
{"STANDARD_NAME":"GCTTGAA_MIR498","SYSTEMATIC_NAME":"M5894","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif GCTTGAA in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-498 (v7.1 miRBase)."}
{"STANDARD_NAME":"GTGGTGA_MIR197","SYSTEMATIC_NAME":"M6598","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif GTGGTGA in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-197 (v7.1 miRBase)."}
{"STANDARD_NAME":"GGGCATT_MIR365","SYSTEMATIC_NAME":"M12358","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif GGGCATT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-365 (v7.1 miRBase)."}
{"STANDARD_NAME":"TGAGATT_MIR216","SYSTEMATIC_NAME":"M14678","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif TGAGATT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-216 (v7.1 miRBase)."}
{"STANDARD_NAME":"GTCAACC_MIR3805P","SYSTEMATIC_NAME":"M18851","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif GTCAACC in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-380-5p (v7.1 miRBase)."}
{"STANDARD_NAME":"GGTGAAG_MIR412","SYSTEMATIC_NAME":"M15246","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif GGTGAAG in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-412 (v7.1 miRBase)."}
{"STANDARD_NAME":"AGGGCCA_MIR328","SYSTEMATIC_NAME":"M8607","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif AGGGCCA in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-328 (v7.1 miRBase)."}
{"STANDARD_NAME":"GTGACTT_MIR224","SYSTEMATIC_NAME":"M15750","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif GTGACTT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-224 (v7.1 miRBase)."}
{"STANDARD_NAME":"GAGACTG_MIR452","SYSTEMATIC_NAME":"M5794","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif GAGACTG in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-452* (v7.1 miRBase)."}
{"STANDARD_NAME":"CAGGGTC_MIR504","SYSTEMATIC_NAME":"M4054","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif CAGGGTC in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-504 (v7.1 miRBase)."}
{"STANDARD_NAME":"GCTCTTG_MIR335","SYSTEMATIC_NAME":"M19315","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif GCTCTTG in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-335 (v7.1 miRBase)."}
{"STANDARD_NAME":"TCGATGG_MIR213","SYSTEMATIC_NAME":"M11990","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif TCGATGG in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-213 (v7.1 miRBase)."}
{"STANDARD_NAME":"GTCTTCC_MIR7","SYSTEMATIC_NAME":"M9541","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif GTCTTCC in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-7 (v7.1 miRBase)."}
{"STANDARD_NAME":"TCTAGAG_MIR517","SYSTEMATIC_NAME":"M2373","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif TCTAGAG in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-517* (v7.1 miRBase)."}
{"STANDARD_NAME":"GGCAGAC_MIR346","SYSTEMATIC_NAME":"M6914","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif GGCAGAC in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-346 (v7.1 miRBase)."}
{"STANDARD_NAME":"AGGCACT_MIR5153P","SYSTEMATIC_NAME":"M11881","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif AGGCACT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-515-3p (v7.1 miRBase)."}
{"STANDARD_NAME":"ATAGGAA_MIR202","SYSTEMATIC_NAME":"M7292","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif ATAGGAA in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-202* (v7.1 miRBase)."}
{"STANDARD_NAME":"CCAGGTT_MIR490","SYSTEMATIC_NAME":"M15045","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif CCAGGTT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-490 (v7.1 miRBase)."}
{"STANDARD_NAME":"TTGCCAA_MIR182","SYSTEMATIC_NAME":"M3916","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif TTGCCAA in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-182 (v7.1 miRBase)."}
{"STANDARD_NAME":"CGGTGTG_MIR220","SYSTEMATIC_NAME":"M18675","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif CGGTGTG in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-220 (v7.1 miRBase)."}
{"STANDARD_NAME":"TAGCTTT_MIR9","SYSTEMATIC_NAME":"M4376","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif TAGCTTT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-9* (v7.1 miRBase)."}
{"STANDARD_NAME":"CTGAGCC_MIR24","SYSTEMATIC_NAME":"M17346","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif CTGAGCC in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-24 (v7.1 miRBase)."}
{"STANDARD_NAME":"TTGGGAG_MIR150","SYSTEMATIC_NAME":"M11872","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif TTGGGAG in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-150 (v7.1 miRBase)."}
{"STANDARD_NAME":"AAACCAC_MIR140","SYSTEMATIC_NAME":"M12609","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif AAACCAC in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-140 (v7.1 miRBase)."}
{"STANDARD_NAME":"CCCACAT_MIR2993P","SYSTEMATIC_NAME":"M43","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif CCCACAT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-299-3p (v7.1 miRBase)."}
{"STANDARD_NAME":"ATGTTTC_MIR494","SYSTEMATIC_NAME":"M16831","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif ATGTTTC in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-494 (v7.1 miRBase)."}
{"STANDARD_NAME":"GTACTGT_MIR101","SYSTEMATIC_NAME":"M4725","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif GTACTGT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-101 (v7.1 miRBase)."}
{"STANDARD_NAME":"CAGGTCC_MIR492","SYSTEMATIC_NAME":"M11517","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif CAGGTCC in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-492 (v7.1 miRBase)."}
{"STANDARD_NAME":"GAGCCTG_MIR484","SYSTEMATIC_NAME":"M7743","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif GAGCCTG in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-484 (v7.1 miRBase)."}
{"STANDARD_NAME":"GTAAGAT_MIR200A","SYSTEMATIC_NAME":"M8557","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif GTAAGAT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-200a* (v7.1 miRBase)."}
{"STANDARD_NAME":"TCCGTCC_MIR184","SYSTEMATIC_NAME":"M1672","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif TCCGTCC in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-184 (v7.1 miRBase)."}
{"STANDARD_NAME":"CACGTTT_MIR302A","SYSTEMATIC_NAME":"M5140","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif CACGTTT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-302a* (v7.1 miRBase)."}
{"STANDARD_NAME":"TATCTGG_MIR488","SYSTEMATIC_NAME":"M13828","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif TATCTGG in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-488 (v7.1 miRBase)."}
{"STANDARD_NAME":"AGGAAGC_MIR5163P","SYSTEMATIC_NAME":"M10126","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif AGGAAGC in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-516-3p (v7.1 miRBase)."}
{"STANDARD_NAME":"ATATGCA_MIR448","SYSTEMATIC_NAME":"M8437","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif ATATGCA in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-448 (v7.1 miRBase)."}
{"STANDARD_NAME":"AATGGAG_MIR136","SYSTEMATIC_NAME":"M1161","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif AATGGAG in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-136 (v7.1 miRBase)."}
{"STANDARD_NAME":"CCTGTGA_MIR513","SYSTEMATIC_NAME":"M13164","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif CCTGTGA in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-513 (v7.1 miRBase)."}
{"STANDARD_NAME":"AACGGTT_MIR451","SYSTEMATIC_NAME":"M4394","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif AACGGTT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-451 (v7.1 miRBase)."}
{"STANDARD_NAME":"ATGAAGG_MIR205","SYSTEMATIC_NAME":"M19591","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif ATGAAGG in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-205 (v7.1 miRBase)."}
{"STANDARD_NAME":"CTCAAGA_MIR526B","SYSTEMATIC_NAME":"M15899","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif CTCAAGA in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-526b (v7.1 miRBase)."}
{"STANDARD_NAME":"GGCAGCT_MIR22","SYSTEMATIC_NAME":"M8640","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif GGCAGCT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-22 (v7.1 miRBase)."}
{"STANDARD_NAME":"TCTGGAC_MIR198","SYSTEMATIC_NAME":"M9601","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif TCTGGAC in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-198 (v7.1 miRBase)."}
{"STANDARD_NAME":"CAGCTTT_MIR320","SYSTEMATIC_NAME":"M17789","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif CAGCTTT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-320 (v7.1 miRBase)."}
{"STANDARD_NAME":"CCATCCA_MIR432","SYSTEMATIC_NAME":"M11746","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif CCATCCA in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-432* (v7.1 miRBase)."}
{"STANDARD_NAME":"CATGTAA_MIR496","SYSTEMATIC_NAME":"M3125","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif CATGTAA in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-496 (v7.1 miRBase)."}
{"STANDARD_NAME":"AAGCACA_MIR218","SYSTEMATIC_NAME":"M18083","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif AAGCACA in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-218 (v7.1 miRBase)."}
{"STANDARD_NAME":"GCAAGAC_MIR431","SYSTEMATIC_NAME":"M2165","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif GCAAGAC in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-431 (v7.1 miRBase)."}
{"STANDARD_NAME":"ATGTCAC_MIR489","SYSTEMATIC_NAME":"M15505","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif ATGTCAC in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-489 (v7.1 miRBase)."}
{"STANDARD_NAME":"CCTGCTG_MIR214","SYSTEMATIC_NAME":"M3043","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif CCTGCTG in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-214 (v7.1 miRBase)."}
{"STANDARD_NAME":"GTCTACC_MIR379","SYSTEMATIC_NAME":"M11030","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif GTCTACC in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-379 (v7.1 miRBase)."}
{"STANDARD_NAME":"CTACTAG_MIR325","SYSTEMATIC_NAME":"M9976","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif CTACTAG in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-325 (v7.1 miRBase)."}
{"STANDARD_NAME":"CCTGAGT_MIR510","SYSTEMATIC_NAME":"M1853","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif CCTGAGT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-510 (v7.1 miRBase)."}
{"STANDARD_NAME":"GACAGGG_MIR339","SYSTEMATIC_NAME":"M2190","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif GACAGGG in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-339 (v7.1 miRBase)."}
{"STANDARD_NAME":"ATACCTC_MIR202","SYSTEMATIC_NAME":"M10873","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif ATACCTC in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-202 (v7.1 miRBase)."}
{"STANDARD_NAME":"GGCAGTG_MIR3243P","SYSTEMATIC_NAME":"M1385","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif GGCAGTG in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-324-3p (v7.1 miRBase)."}
{"STANDARD_NAME":"GAGCCAG_MIR149","SYSTEMATIC_NAME":"M2014","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif GAGCCAG in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-149 (v7.1 miRBase)."}
{"STANDARD_NAME":"TCTCTCC_MIR185","SYSTEMATIC_NAME":"M9681","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif TCTCTCC in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-185 (v7.1 miRBase)."}
{"STANDARD_NAME":"AGCATTA_MIR155","SYSTEMATIC_NAME":"M16199","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif AGCATTA in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-155 (v7.1 miRBase)."}
{"STANDARD_NAME":"GCAAAAA_MIR129","SYSTEMATIC_NAME":"M3056","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif GCAAAAA in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-129 (v7.1 miRBase)."}
{"STANDARD_NAME":"GGCACAT_MIR455","SYSTEMATIC_NAME":"M869","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif GGCACAT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-455 (v7.1 miRBase)."}
{"STANDARD_NAME":"GTCGATC_MIR3695P","SYSTEMATIC_NAME":"M16348","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif GTCGATC in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-369-5p (v7.1 miRBase)."}
{"STANDARD_NAME":"CTTTGTA_MIR524","SYSTEMATIC_NAME":"M1567","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif CTTTGTA in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-524* (v7.1 miRBase)."}
{"STANDARD_NAME":"CTGTTAC_MIR194","SYSTEMATIC_NAME":"M18709","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif CTGTTAC in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-194 (v7.1 miRBase)."}
{"STANDARD_NAME":"ATGCAGT_MIR217","SYSTEMATIC_NAME":"M11416","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif ATGCAGT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-217 (v7.1 miRBase)."}
{"STANDARD_NAME":"ATGCTGG_MIR338","SYSTEMATIC_NAME":"M13945","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif ATGCTGG in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-338 (v7.1 miRBase)."}
{"STANDARD_NAME":"ACATATC_MIR190","SYSTEMATIC_NAME":"M13961","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif ACATATC in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-190 (v7.1 miRBase)."}
{"STANDARD_NAME":"CTCCAAG_MIR432","SYSTEMATIC_NAME":"M4329","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif CTCCAAG in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-432 (v7.1 miRBase)."}
{"STANDARD_NAME":"AAGCAAT_MIR137","SYSTEMATIC_NAME":"M10261","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif AAGCAAT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-137 (v7.1 miRBase)."}
{"STANDARD_NAME":"ACCAAAG_MIR9","SYSTEMATIC_NAME":"M9822","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif ACCAAAG in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-9 (v7.1 miRBase)."}
{"STANDARD_NAME":"TTTGTAG_MIR520D","SYSTEMATIC_NAME":"M10821","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif TTTGTAG in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-520d* (v7.1 miRBase)."}
{"STANDARD_NAME":"TGCCTTA_MIR124A","SYSTEMATIC_NAME":"M15942","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif TGCCTTA in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-124a (v7.1 miRBase)."}
{"STANDARD_NAME":"AACTGAC_MIR223","SYSTEMATIC_NAME":"M8369","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif AACTGAC in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-223 (v7.1 miRBase)."}
{"STANDARD_NAME":"AAAGACA_MIR511","SYSTEMATIC_NAME":"M13551","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif AAAGACA in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-511 (v7.1 miRBase)."}
{"STANDARD_NAME":"ATAAGCT_MIR21","SYSTEMATIC_NAME":"M19659","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif ATAAGCT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-21 (v7.1 miRBase)."}
{"STANDARD_NAME":"TCTGATA_MIR361","SYSTEMATIC_NAME":"M4881","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif TCTGATA in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-361 (v7.1 miRBase)."}
{"STANDARD_NAME":"TACAATC_MIR508","SYSTEMATIC_NAME":"M11441","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif TACAATC in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-508 (v7.1 miRBase)."}
{"STANDARD_NAME":"ACTTTAT_MIR1425P","SYSTEMATIC_NAME":"M14923","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif ACTTTAT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-142-5p (v7.1 miRBase)."}
{"STANDARD_NAME":"TTTGCAG_MIR518A2","SYSTEMATIC_NAME":"M2229","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif TTTGCAG in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-518a-2* (v7.1 miRBase)."}
{"STANDARD_NAME":"AACATTC_MIR4093P","SYSTEMATIC_NAME":"M17222","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif AACATTC in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-409-3p (v7.1 miRBase)."}
{"STANDARD_NAME":"ACAACCT_MIR453","SYSTEMATIC_NAME":"M5402","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif ACAACCT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-453 (v7.1 miRBase)."}
{"STANDARD_NAME":"GTGCCAA_MIR96","SYSTEMATIC_NAME":"M7598","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif GTGCCAA in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-96 (v7.1 miRBase)."}
{"STANDARD_NAME":"TCATCTC_MIR143","SYSTEMATIC_NAME":"M8732","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif TCATCTC in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-143 (v7.1 miRBase)."}
{"STANDARD_NAME":"GAGCTGG_MIR337","SYSTEMATIC_NAME":"M3637","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif GAGCTGG in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-337 (v7.1 miRBase)."}
{"STANDARD_NAME":"AGTCTAG_MIR151","SYSTEMATIC_NAME":"M4826","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif AGTCTAG in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-151 (v7.1 miRBase)."}
{"STANDARD_NAME":"AGTCTTA_MIR499","SYSTEMATIC_NAME":"M12207","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif AGTCTTA in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-499 (v7.1 miRBase)."}
{"STANDARD_NAME":"CCCAGAG_MIR326","SYSTEMATIC_NAME":"M1505","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif CCCAGAG in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-326 (v7.1 miRBase)."}
{"STANDARD_NAME":"GCTGAGT_MIR5125P","SYSTEMATIC_NAME":"M6666","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif GCTGAGT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-512-5p (v7.1 miRBase)."}
{"STANDARD_NAME":"ACCATTT_MIR522","SYSTEMATIC_NAME":"M4610","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif ACCATTT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-522 (v7.1 miRBase)."}
{"STANDARD_NAME":"AGCTCCT_MIR28","SYSTEMATIC_NAME":"M1622","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif AGCTCCT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-28 (v7.1 miRBase)."}
{"STANDARD_NAME":"AGCGCAG_MIR191","SYSTEMATIC_NAME":"M15646","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif AGCGCAG in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-191* (v7.1 miRBase)."}
{"STANDARD_NAME":"ACTGCCT_MIR34B","SYSTEMATIC_NAME":"M7082","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif ACTGCCT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-34b (v7.1 miRBase)."}
{"STANDARD_NAME":"GTTAAAG_MIR302B","SYSTEMATIC_NAME":"M11305","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif GTTAAAG in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-302b* (v7.1 miRBase)."}
{"STANDARD_NAME":"GACAATC_MIR219","SYSTEMATIC_NAME":"M7344","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif GACAATC in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-219 (v7.1 miRBase)."}
{"STANDARD_NAME":"CGCAAAA_MIR450","SYSTEMATIC_NAME":"M14128","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif CGCAAAA in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-450 (v7.1 miRBase)."}
{"STANDARD_NAME":"AACTGGA_MIR145","SYSTEMATIC_NAME":"M15956","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif AACTGGA in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-145 (v7.1 miRBase)."}
{"STANDARD_NAME":"AAGCACT_MIR520F","SYSTEMATIC_NAME":"M7004","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif AAGCACT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-520f (v7.1 miRBase)."}
{"STANDARD_NAME":"AGGAGTG_MIR483","SYSTEMATIC_NAME":"M13581","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif AGGAGTG in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-483 (v7.1 miRBase)."}
{"STANDARD_NAME":"GTGTCAA_MIR514","SYSTEMATIC_NAME":"M2735","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif GTGTCAA in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-514 (v7.1 miRBase)."}
{"STANDARD_NAME":"GCAAGGA_MIR502","SYSTEMATIC_NAME":"M11180","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif GCAAGGA in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-502 (v7.1 miRBase)."}
{"STANDARD_NAME":"AGGTGCA_MIR500","SYSTEMATIC_NAME":"M18275","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif AGGTGCA in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-500 (v7.1 miRBase)."}
{"STANDARD_NAME":"ACTGTAG_MIR139","SYSTEMATIC_NAME":"M5550","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif ACTGTAG in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-139 (v7.1 miRBase)."}
{"STANDARD_NAME":"GTGCAAA_MIR507","SYSTEMATIC_NAME":"M2865","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif GTGCAAA in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-507 (v7.1 miRBase)."}
{"STANDARD_NAME":"TGCTTTG_MIR330","SYSTEMATIC_NAME":"M4556","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif TGCTTTG in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-330 (v7.1 miRBase)."}
{"STANDARD_NAME":"TTTTGAG_MIR373","SYSTEMATIC_NAME":"M681","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif TTTTGAG in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-373* (v7.1 miRBase)."}
{"STANDARD_NAME":"TAGAACC_MIR182","SYSTEMATIC_NAME":"M8902","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif TAGAACC in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-182* (v7.1 miRBase)."}
{"STANDARD_NAME":"GGGATGC_MIR3245P","SYSTEMATIC_NAME":"M18563","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif GGGATGC in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-324-5p (v7.1 miRBase)."}
{"STANDARD_NAME":"CCAGGGG_MIR331","SYSTEMATIC_NAME":"M15492","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif CCAGGGG in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-331 (v7.1 miRBase)."}
{"STANDARD_NAME":"ACCAATC_MIR509","SYSTEMATIC_NAME":"M12356","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif ACCAATC in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-509 (v7.1 miRBase)."}
{"STANDARD_NAME":"GGCACTT_MIR519E","SYSTEMATIC_NAME":"M9714","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif GGCACTT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-519e (v7.1 miRBase)."}
{"STANDARD_NAME":"ATGTACA_MIR493","SYSTEMATIC_NAME":"M17260","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif ATGTACA in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-493 (v7.1 miRBase)."}
{"STANDARD_NAME":"GCATTTG_MIR105","SYSTEMATIC_NAME":"M6957","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif GCATTTG in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-105 (v7.1 miRBase)."}
{"STANDARD_NAME":"CAGTCAC_MIR134","SYSTEMATIC_NAME":"M9656","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif CAGTCAC in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-134 (v7.1 miRBase)."}
{"STANDARD_NAME":"TCCAGAG_MIR518C","SYSTEMATIC_NAME":"M1468","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif TCCAGAG in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-518c* (v7.1 miRBase)."}
{"STANDARD_NAME":"CACCAGC_MIR138","SYSTEMATIC_NAME":"M11557","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif CACCAGC in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-138 (v7.1 miRBase)."}
{"STANDARD_NAME":"CAGCACT_MIR5123P","SYSTEMATIC_NAME":"M7107","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif CAGCACT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-512-3p (v7.1 miRBase)."}
{"STANDARD_NAME":"GTACAGG_MIR486","SYSTEMATIC_NAME":"M11599","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif GTACAGG in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-486 (v7.1 miRBase)."}
{"STANDARD_NAME":"GTTATAT_MIR410","SYSTEMATIC_NAME":"M8718","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif GTTATAT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-410 (v7.1 miRBase)."}
{"STANDARD_NAME":"GTCAGGA_MIR378","SYSTEMATIC_NAME":"M15734","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif GTCAGGA in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-378 (v7.1 miRBase)."}
{"STANDARD_NAME":"ACACTAC_MIR1423P","SYSTEMATIC_NAME":"M6643","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif ACACTAC in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-142-3p (v7.1 miRBase)."}
{"STANDARD_NAME":"ATTCTTT_MIR186","SYSTEMATIC_NAME":"M13688","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif ATTCTTT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-186 (v7.1 miRBase)."}
{"STANDARD_NAME":"CTCTATG_MIR368","SYSTEMATIC_NAME":"M16260","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif CTCTATG in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-368 (v7.1 miRBase)."}
{"STANDARD_NAME":"ACCGAGC_MIR423","SYSTEMATIC_NAME":"M15670","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif ACCGAGC in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-423 (v7.1 miRBase)."}
{"STANDARD_NAME":"TGTGTGA_MIR377","SYSTEMATIC_NAME":"M1329","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif TGTGTGA in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-377 (v7.1 miRBase)."}
{"STANDARD_NAME":"ATCATGA_MIR433","SYSTEMATIC_NAME":"M14789","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif ATCATGA in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-433 (v7.1 miRBase)."}
{"STANDARD_NAME":"CAGCAGG_MIR370","SYSTEMATIC_NAME":"M12382","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif CAGCAGG in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-370 (v7.1 miRBase)."}
{"STANDARD_NAME":"CTTTGCA_MIR527","SYSTEMATIC_NAME":"M2927","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif CTTTGCA in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-527 (v7.1 miRBase)."}
{"STANDARD_NAME":"GGTGTGT_MIR329","SYSTEMATIC_NAME":"M10403","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif GGTGTGT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-329 (v7.1 miRBase)."}
{"STANDARD_NAME":"ATTACAT_MIR3803P","SYSTEMATIC_NAME":"M13326","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif ATTACAT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-380-3p (v7.1 miRBase)."}
{"STANDARD_NAME":"CGTCTTA_MIR208","SYSTEMATIC_NAME":"M15737","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif CGTCTTA in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-208 (v7.1 miRBase)."}
{"STANDARD_NAME":"ATCTTGC_MIR31","SYSTEMATIC_NAME":"M17589","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif ATCTTGC in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-31 (v7.1 miRBase)."}
{"STANDARD_NAME":"AAGGGAT_MIR188","SYSTEMATIC_NAME":"M4681","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif AAGGGAT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-188 (v7.1 miRBase)."}
{"STANDARD_NAME":"TGCAAAC_MIR452","SYSTEMATIC_NAME":"M9999","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif TGCAAAC in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-452 (v7.1 miRBase)."}
{"STANDARD_NAME":"CAGCCTC_MIR4855P","SYSTEMATIC_NAME":"M16058","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif CAGCCTC in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-485-5p (v7.1 miRBase)."}
{"STANDARD_NAME":"GTAAACC_MIR2995P","SYSTEMATIC_NAME":"M16323","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif GTAAACC in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-299-5p (v7.1 miRBase)."}
{"STANDARD_NAME":"GGTAACC_MIR4095P","SYSTEMATIC_NAME":"M9561","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif GGTAACC in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-409-5p (v7.1 miRBase)."}
{"STANDARD_NAME":"TAATAAT_MIR126","SYSTEMATIC_NAME":"M10318","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif TAATAAT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-126* (v7.1 miRBase)."}
{"STANDARD_NAME":"ATGCACG_MIR517B","SYSTEMATIC_NAME":"M18425","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif ATGCACG in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-517b (v7.1 miRBase)."}
{"STANDARD_NAME":"CCACACA_MIR147","SYSTEMATIC_NAME":"M2305","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif CCACACA in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-147 (v7.1 miRBase)."}
{"STANDARD_NAME":"TAATGTG_MIR323","SYSTEMATIC_NAME":"M15124","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif TAATGTG in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-323 (v7.1 miRBase)."}
{"STANDARD_NAME":"TTCCGTT_MIR191","SYSTEMATIC_NAME":"M10745","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif TTCCGTT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-191 (v7.1 miRBase)."}
{"STANDARD_NAME":"AGTGCGT_MIR521","SYSTEMATIC_NAME":"M7945","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif AGTGCGT in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-521 (v7.1 miRBase)."}
{"STANDARD_NAME":"CAATGCA_MIR33","SYSTEMATIC_NAME":"M13234","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif CAATGCA in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-33 (v7.1 miRBase)."}
{"STANDARD_NAME":"GTAGGCA_MIR189","SYSTEMATIC_NAME":"M7364","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"MIR:MIR_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the motif GTAGGCA in their 3' untranslated region. The motif represents putative target (that is, seed match) of human mature miRNA hsa-miR-189 (v7.1 miRBase)."}
{"STANDARD_NAME":"METHYLCYTOSINE_DIOXYGENASE_TET_UNIPROT_A0A023HHK9_UNREVIEWED_TARGET_GENES","SYSTEMATIC_NAME":"M34460","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"A0A023HHK9","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:A0A023HHK9 (METHYLCYTOSINE_DIOXYGENASE_TET_UNIPROT_A0A023HHK9_UNREVIEWED) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"IGLV5_37_TARGET_GENES","SYSTEMATIC_NAME":"M30025","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"A0A075B6J1","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:A0A075B6J1 (IGLV5_37) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"BDP1_TARGET_GENES","SYSTEMATIC_NAME":"M40687","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"A6H8Y1","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:A6H8Y1 (BDP1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZSCAN5C_TARGET_GENES","SYSTEMATIC_NAME":"M30410","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"A6NGD5","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:A6NGD5 (ZSCAN5C) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"SMCHD1_TARGET_GENES","SYSTEMATIC_NAME":"M30164","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"A6NHR9","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:A6NHR9 (SMCHD1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZSCAN5B_TARGET_GENES","SYSTEMATIC_NAME":"M30409","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"A6NJL1","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:A6NJL1 (ZSCAN5B) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"AHRR_TARGET_GENES","SYSTEMATIC_NAME":"M34461","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"A9YTQ3","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:A9YTQ3 (AHRR) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"OVOL3_TARGET_GENES","SYSTEMATIC_NAME":"M30105","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"O00110","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:O00110 (OVOL3) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"FOXE1_TARGET_GENES","SYSTEMATIC_NAME":"M29968","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"O00358","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:O00358 (FOXE1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"FOXN3_TARGET_GENES","SYSTEMATIC_NAME":"M29973","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"O00409","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:O00409 (FOXN3) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"KMT2D_TARGET_GENES","SYSTEMATIC_NAME":"M30042","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"O14686","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:O14686 (KMT2D) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF197_TARGET_GENES","SYSTEMATIC_NAME":"M30272","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"O14709","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:O14709 (ZNF197) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"PRMT5_TARGET_GENES","SYSTEMATIC_NAME":"M30130","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"O14744","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:O14744 (PRMT5) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"TERT_TARGET_GENES","SYSTEMATIC_NAME":"M30202","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"O14746","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:O14746 (TERT) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF213_TARGET_GENES","SYSTEMATIC_NAME":"M30277","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"O14771","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:O14771 (ZNF213) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"XPO1_TARGET_GENES","SYSTEMATIC_NAME":"M34462","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"O14980","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:O14980 (XPO1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"SETD1A_TARGET_GENES","SYSTEMATIC_NAME":"M40688","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"O15047","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:O15047 (SETD1A) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZBTB5_TARGET_GENES","SYSTEMATIC_NAME":"M40689","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"O15062","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:O15062 (ZBTB5) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"TBX3_TARGET_GENES","SYSTEMATIC_NAME":"M40690","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"O15119","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:O15119 (TBX3) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZBTB7B_TARGET_GENES","SYSTEMATIC_NAME":"M40691","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"O15156","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:O15156 (ZBTB7B) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"TP73_TARGET_GENES","SYSTEMATIC_NAME":"M40692","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"O15350","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:O15350 (TP73) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"FOXP2_TARGET_GENES","SYSTEMATIC_NAME":"M40693","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"O15409","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:O15409 (FOXP2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"NKX2_8_TARGET_GENES","SYSTEMATIC_NAME":"M30092","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"O15522","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:O15522 (NKX2_8) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"MAFG_TARGET_GENES","SYSTEMATIC_NAME":"M30053","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"O15525","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:O15525 (MAFG) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"PER1_TARGET_GENES","SYSTEMATIC_NAME":"M30117","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"O15534","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:O15534 (PER1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZBTB24_TARGET_GENES","SYSTEMATIC_NAME":"M40694","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"O43167","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:O43167 (ZBTB24) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"HOXC11_TARGET_GENES","SYSTEMATIC_NAME":"M40695","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"O43248","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:O43248 (HOXC11) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"HOXA2_TARGET_GENES","SYSTEMATIC_NAME":"M40696","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"O43364","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:O43364 (HOXA2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"TBX1_TARGET_GENES","SYSTEMATIC_NAME":"M40697","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"O43435","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:O43435 (TBX1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"CBFA2T2_TARGET_GENES","SYSTEMATIC_NAME":"M40698","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"O43439","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:O43439 (CBFA2T2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"LAMTOR5_TARGET_GENES","SYSTEMATIC_NAME":"M40699","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"O43504","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:O43504 (LAMTOR5) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"CREB3_TARGET_GENES","SYSTEMATIC_NAME":"M40700","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"O43889","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:O43889 (CREB3) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"SOX15_TARGET_GENES","SYSTEMATIC_NAME":"M30175","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"O60248","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:O60248 (SOX15) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF292_TARGET_GENES","SYSTEMATIC_NAME":"M30293","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"O60281","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:O60281 (ZNF292) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"SYNCRIP_TARGET_GENES","SYSTEMATIC_NAME":"M30189","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"O60506","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:O60506 (SYNCRIP) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"CREBL2_TARGET_GENES","SYSTEMATIC_NAME":"M29931","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"O60519","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:O60519 (CREBL2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"FOXD2_TARGET_GENES","SYSTEMATIC_NAME":"M29966","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"O60548","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:O60548 (FOXD2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"LMX1B_TARGET_GENES","SYSTEMATIC_NAME":"M30052","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"O60663","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:O60663 (LMX1B) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF354A_TARGET_GENES","SYSTEMATIC_NAME":"M30305","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"O60765","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:O60765 (ZNF354A) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF623_TARGET_GENES","SYSTEMATIC_NAME":"M40701","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"O75123","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:O75123 (ZNF623) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZBED4_TARGET_GENES","SYSTEMATIC_NAME":"M40702","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"O75132","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:O75132 (ZBED4) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"PHF2_TARGET_GENES","SYSTEMATIC_NAME":"M40703","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"O75151","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:O75151 (PHF2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZC3H11A_TARGET_GENES","SYSTEMATIC_NAME":"M40704","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"O75152","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:O75152 (ZC3H11A) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"NR1I2_TARGET_GENES","SYSTEMATIC_NAME":"M30100","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"O75469","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:O75469 (NR1I2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"PSIP1_TARGET_GENES","SYSTEMATIC_NAME":"M40705","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"O75475","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:O75475 (PSIP1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"FOXH1_TARGET_GENES","SYSTEMATIC_NAME":"M40706","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"O75593","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:O75593 (FOXH1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"GCM2_TARGET_GENES","SYSTEMATIC_NAME":"M34463","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"O75603","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:O75603 (GCM2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"WDHD1_TARGET_GENES","SYSTEMATIC_NAME":"M30227","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"O75717","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:O75717 (WDHD1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"KLF7_TARGET_GENES","SYSTEMATIC_NAME":"M30041","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"O75840","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:O75840 (KLF7) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"TOX4_TARGET_GENES","SYSTEMATIC_NAME":"M40707","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"O94842","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:O94842 (TOX4) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"NKX2_2_TARGET_GENES","SYSTEMATIC_NAME":"M30089","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"O95096","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:O95096 (NKX2_2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF202_TARGET_GENES","SYSTEMATIC_NAME":"M30274","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"O95125","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:O95125 (ZNF202) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"PGM3_TARGET_GENES","SYSTEMATIC_NAME":"M34464","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"O95394","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:O95394 (PGM3) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"SVIL_TARGET_GENES","SYSTEMATIC_NAME":"M30188","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"O95425","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:O95425 (SVIL) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"WIZ_TARGET_GENES","SYSTEMATIC_NAME":"M30228","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"O95785","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:O95785 (WIZ) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"SNAI1_TARGET_GENES","SYSTEMATIC_NAME":"M30167","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"O95863","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:O95863 (SNAI1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"CBX7_TARGET_GENES","SYSTEMATIC_NAME":"M29912","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"O95931","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:O95931 (CBX7) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"PTTG1_TARGET_GENES","SYSTEMATIC_NAME":"M30133","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"O95997","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:O95997 (PTTG1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"HAND1_TARGET_GENES","SYSTEMATIC_NAME":"M29988","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"O96004","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:O96004 (HAND1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"EGFR_TARGET_GENES","SYSTEMATIC_NAME":"M40708","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P00533","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P00533 (EGFR) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"F10_TARGET_GENES","SYSTEMATIC_NAME":"M29962","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P00742","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P00742 (F10) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"HBZ_TARGET_GENES","SYSTEMATIC_NAME":"M40709","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P02008","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P02008 (HBZ) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"NPM1_TARGET_GENES","SYSTEMATIC_NAME":"M34465","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P06748","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P06748 (NPM1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"GLI1_TARGET_GENES","SYSTEMATIC_NAME":"M29978","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P08151","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P08151 (GLI1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"SNRNP70_TARGET_GENES","SYSTEMATIC_NAME":"M30171","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P08621","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P08621 (SNRNP70) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"HMGB1_TARGET_GENES","SYSTEMATIC_NAME":"M40710","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P09429","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P09429 (HMGB1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"HOXB7_TARGET_GENES","SYSTEMATIC_NAME":"M30012","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P09629","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P09629 (HOXB7) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"HOXC6_TARGET_GENES","SYSTEMATIC_NAME":"M30016","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P09630","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P09630 (HOXC6) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZSCAN5DP_TARGET_GENES","SYSTEMATIC_NAME":"M40711","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P0CG00","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P0CG00 (ZSCAN5DP) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"GLI3_TARGET_GENES","SYSTEMATIC_NAME":"M29979","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P10071","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P10071 (GLI3) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"GLI4_TARGET_GENES","SYSTEMATIC_NAME":"M29980","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P10075","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P10075 (GLI4) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"MYBL1_TARGET_GENES","SYSTEMATIC_NAME":"M40712","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P10243","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P10243 (MYBL1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"RARB_TARGET_GENES","SYSTEMATIC_NAME":"M30135","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P10826","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P10826 (RARB) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"THRA_TARGET_GENES","SYSTEMATIC_NAME":"M30209","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P10827","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P10827 (THRA) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"MTHFD1_TARGET_GENES","SYSTEMATIC_NAME":"M40713","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P11586","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P11586 (MTHFD1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"SKIL_TARGET_GENES","SYSTEMATIC_NAME":"M30161","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P12757","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P12757 (SKIL) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF250_TARGET_GENES","SYSTEMATIC_NAME":"M40714","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P15622","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P15622 (ZNF250) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"RAG1_TARGET_GENES","SYSTEMATIC_NAME":"M40715","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P15918","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P15918 (RAG1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"YBX3_TARGET_GENES","SYSTEMATIC_NAME":"M40716","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P16989","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P16989 (YBX3) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF708_TARGET_GENES","SYSTEMATIC_NAME":"M30382","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P17019","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P17019 (ZNF708) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF16_TARGET_GENES","SYSTEMATIC_NAME":"M30266","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P17020","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P17020 (ZNF16) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF19_TARGET_GENES","SYSTEMATIC_NAME":"M30271","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P17023","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P17023 (ZNF19) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF20_TARGET_GENES","SYSTEMATIC_NAME":"M34466","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P17024","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P17024 (ZNF20) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF22_TARGET_GENES","SYSTEMATIC_NAME":"M30279","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P17026","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P17026 (ZNF22) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF23_TARGET_GENES","SYSTEMATIC_NAME":"M30283","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P17027","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P17027 (ZNF23) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF26_TARGET_GENES","SYSTEMATIC_NAME":"M30289","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P17031","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P17031 (ZNF26) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF37A_TARGET_GENES","SYSTEMATIC_NAME":"M30309","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P17032","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P17032 (ZNF37A) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF30_TARGET_GENES","SYSTEMATIC_NAME":"M30294","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P17039","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P17039 (ZNF30) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"HMGA1_TARGET_GENES","SYSTEMATIC_NAME":"M30002","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P17096","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P17096 (HMGA1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF7_TARGET_GENES","SYSTEMATIC_NAME":"M30379","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P17097","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P17097 (ZNF7) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF8_TARGET_GENES","SYSTEMATIC_NAME":"M30394","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P17098","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P17098 (ZNF8) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"HOXB4_TARGET_GENES","SYSTEMATIC_NAME":"M30010","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P17483","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P17483 (HOXB4) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"HOXB6_TARGET_GENES","SYSTEMATIC_NAME":"M30011","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P17509","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P17509 (HOXB6) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"PTPRA_TARGET_GENES","SYSTEMATIC_NAME":"M30132","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P18433","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P18433 (PTPRA) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ADCYAP1_TARGET_GENES","SYSTEMATIC_NAME":"M29881","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P18509","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P18509 (ADCYAP1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ATF6_TARGET_GENES","SYSTEMATIC_NAME":"M29894","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P18850","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P18850 (ATF6) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"TFEB_TARGET_GENES","SYSTEMATIC_NAME":"M30207","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P19484","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P19484 (TFEB) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"NR1D1_TARGET_GENES","SYSTEMATIC_NAME":"M30098","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P20393","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P20393 (NR1D1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF10_TARGET_GENES","SYSTEMATIC_NAME":"M30256","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P21506","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P21506 (ZNF10) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"NME2_TARGET_GENES","SYSTEMATIC_NAME":"M30094","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P22392","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P22392 (NME2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"H1_6_TARGET_GENES","SYSTEMATIC_NAME":"M29987","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P22492","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P22492 (H1_6) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"MYF6_TARGET_GENES","SYSTEMATIC_NAME":"M30076","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P23409","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P23409 (MYF6) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"PAX7_TARGET_GENES","SYSTEMATIC_NAME":"M30110","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P23759","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P23759 (PAX7) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"PAX3_TARGET_GENES","SYSTEMATIC_NAME":"M30108","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P23760","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P23760 (PAX3) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"MCM3_TARGET_GENES","SYSTEMATIC_NAME":"M40717","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P25205","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P25205 (MCM3) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"NFKBIA_TARGET_GENES","SYSTEMATIC_NAME":"M30087","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P25963","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P25963 (NFKBIA) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"DNMT1_TARGET_GENES","SYSTEMATIC_NAME":"M40718","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P26358","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P26358 (DNMT1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"PAX6_TARGET_GENES","SYSTEMATIC_NAME":"M40719","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P26367","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P26367 (PAX6) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"HMGB2_TARGET_GENES","SYSTEMATIC_NAME":"M40720","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P26583","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P26583 (HMGB2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"MAPK3_TARGET_GENES","SYSTEMATIC_NAME":"M40721","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P27361","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P27361 (MAPK3) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"RPA1_TARGET_GENES","SYSTEMATIC_NAME":"M40722","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P27694","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P27694 (RPA1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"PSMB5_TARGET_GENES","SYSTEMATIC_NAME":"M30131","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P28074","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P28074 (PSMB5) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"MSX1_TARGET_GENES","SYSTEMATIC_NAME":"M30070","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P28360","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P28360 (MSX1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"SMARCA1_TARGET_GENES","SYSTEMATIC_NAME":"M30163","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P28370","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P28370 (SMARCA1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"MZF1_TARGET_GENES","SYSTEMATIC_NAME":"M40723","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P28698","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P28698 (MZF1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"RBL1_TARGET_GENES","SYSTEMATIC_NAME":"M40724","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P28749","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P28749 (RBL1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"GTF2E2_TARGET_GENES","SYSTEMATIC_NAME":"M29984","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P29084","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P29084 (GTF2E2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"HOXA10_TARGET_GENES","SYSTEMATIC_NAME":"M30007","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P31260","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P31260 (HOXA10) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"HOXA7_TARGET_GENES","SYSTEMATIC_NAME":"M30009","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P31268","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P31268 (HOXA7) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"HOXA13_TARGET_GENES","SYSTEMATIC_NAME":"M30008","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P31271","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P31271 (HOXA13) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"HOXC13_TARGET_GENES","SYSTEMATIC_NAME":"M30015","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P31276","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P31276 (HOXC13) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"HOXD11_TARGET_GENES","SYSTEMATIC_NAME":"M30018","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P31277","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P31277 (HOXD11) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"CIITA_TARGET_GENES","SYSTEMATIC_NAME":"M29925","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P33076","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P33076 (CIITA) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"MCM5_TARGET_GENES","SYSTEMATIC_NAME":"M30059","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P33992","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P33992 (MCM5) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"PCGF2_TARGET_GENES","SYSTEMATIC_NAME":"M40725","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P35227","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P35227 (PCGF2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"RORA_TARGET_GENES","SYSTEMATIC_NAME":"M30144","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P35398","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P35398 (RORA) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"MSX2_TARGET_GENES","SYSTEMATIC_NAME":"M40726","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P35548","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P35548 (MSX2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"NUP214_TARGET_GENES","SYSTEMATIC_NAME":"M34467","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P35658","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P35658 (NUP214) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"SOX11_TARGET_GENES","SYSTEMATIC_NAME":"M30174","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P35716","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P35716 (SOX11) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"TCF7_TARGET_GENES","SYSTEMATIC_NAME":"M40727","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P36402","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P36402 (TCF7) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"RBMX_TARGET_GENES","SYSTEMATIC_NAME":"M40728","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P38159","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P38159 (RBMX) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"CUX1_TARGET_GENES","SYSTEMATIC_NAME":"M40729","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P39880","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P39880 (CUX1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ID1_TARGET_GENES","SYSTEMATIC_NAME":"M30022","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P41134","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P41134 (ID1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"SOX3_TARGET_GENES","SYSTEMATIC_NAME":"M30176","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P41225","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P41225 (SOX3) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"CASP3_TARGET_GENES","SYSTEMATIC_NAME":"M34468","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P42574","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P42574 (CASP3) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"RBM34_TARGET_GENES","SYSTEMATIC_NAME":"M30140","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P42696","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P42696 (RBM34) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"NR4A2_TARGET_GENES","SYSTEMATIC_NAME":"M30102","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P43354","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P43354 (NR4A2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"CBX5_TARGET_GENES","SYSTEMATIC_NAME":"M29911","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P45973","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P45973 (CBX5) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"CDX1_TARGET_GENES","SYSTEMATIC_NAME":"M29917","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P47902","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P47902 (CDX1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"HOXA1_TARGET_GENES","SYSTEMATIC_NAME":"M40730","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P49639","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P49639 (HOXA1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"MCM2_TARGET_GENES","SYSTEMATIC_NAME":"M40731","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P49736","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P49736 (MCM2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"NUP153_TARGET_GENES","SYSTEMATIC_NAME":"M40732","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P49790","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P49790 (NUP153) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF165_TARGET_GENES","SYSTEMATIC_NAME":"M30267","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P49910","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P49910 (ZNF165) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"MNX1_TARGET_GENES","SYSTEMATIC_NAME":"M40733","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P50219","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P50219 (MNX1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"LHX2_TARGET_GENES","SYSTEMATIC_NAME":"M40734","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P50458","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P50458 (LHX2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"FXR1_TARGET_GENES","SYSTEMATIC_NAME":"M40735","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P51114","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P51114 (FXR1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF84_TARGET_GENES","SYSTEMATIC_NAME":"M40736","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P51523","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P51523 (ZNF84) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"BRCA2_TARGET_GENES","SYSTEMATIC_NAME":"M40737","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P51587","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P51587 (BRCA2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF157_TARGET_GENES","SYSTEMATIC_NAME":"M40738","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P51786","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P51786 (ZNF157) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF41_TARGET_GENES","SYSTEMATIC_NAME":"M40739","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P51814","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P51814 (ZNF41) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"NR0B1_TARGET_GENES","SYSTEMATIC_NAME":"M40740","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P51843","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P51843 (NR0B1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"HDGF_TARGET_GENES","SYSTEMATIC_NAME":"M40741","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P51858","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P51858 (HDGF) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"GTF2A2_TARGET_GENES","SYSTEMATIC_NAME":"M40742","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P52657","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P52657 (GTF2A2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF133_TARGET_GENES","SYSTEMATIC_NAME":"M40743","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P52736","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P52736 (ZNF133) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF136_TARGET_GENES","SYSTEMATIC_NAME":"M40744","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P52737","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P52737 (ZNF136) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF140_TARGET_GENES","SYSTEMATIC_NAME":"M40745","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P52738","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P52738 (ZNF140) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF134_TARGET_GENES","SYSTEMATIC_NAME":"M40746","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P52741","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P52741 (ZNF134) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"NKX2_5_TARGET_GENES","SYSTEMATIC_NAME":"M40747","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P52952","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P52952 (NKX2_5) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"TERF1_TARGET_GENES","SYSTEMATIC_NAME":"M30200","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P54274","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P54274 (TERF1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"F2RL1_TARGET_GENES","SYSTEMATIC_NAME":"M29963","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P55085","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P55085 (F2RL1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"CDH4_TARGET_GENES","SYSTEMATIC_NAME":"M34469","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P55283","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P55283 (CDH4) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"FOXG1_TARGET_GENES","SYSTEMATIC_NAME":"M29971","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P55316","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P55316 (FOXG1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"DLX6_TARGET_GENES","SYSTEMATIC_NAME":"M29943","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P56179","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P56179 (DLX6) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"HDAC4_TARGET_GENES","SYSTEMATIC_NAME":"M29991","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P56524","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P56524 (HDAC4) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"SOX10_TARGET_GENES","SYSTEMATIC_NAME":"M30173","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P56693","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P56693 (SOX10) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF445_TARGET_GENES","SYSTEMATIC_NAME":"M30324","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P59923","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P59923 (ZNF445) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ISL1_TARGET_GENES","SYSTEMATIC_NAME":"M40748","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P61371","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P61371 (ISL1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"TBPL1_TARGET_GENES","SYSTEMATIC_NAME":"M40749","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P62380","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P62380 (TBPL1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"SUMO1_TARGET_GENES","SYSTEMATIC_NAME":"M40750","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P63165","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P63165 (SUMO1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"UBE2I_TARGET_GENES","SYSTEMATIC_NAME":"M40751","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P63279","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P63279 (UBE2I) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"YBX1_TARGET_GENES","SYSTEMATIC_NAME":"M30231","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P67809","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P67809 (YBX1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"PITX1_TARGET_GENES","SYSTEMATIC_NAME":"M30122","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P78337","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P78337 (PITX1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"SRPK2_TARGET_GENES","SYSTEMATIC_NAME":"M30180","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P78362","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P78362 (SRPK2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"IRX3_TARGET_GENES","SYSTEMATIC_NAME":"M30031","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P78415","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P78415 (IRX3) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"NKX6_1_TARGET_GENES","SYSTEMATIC_NAME":"M30093","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P78426","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P78426 (NKX6_1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"PRKDC_TARGET_GENES","SYSTEMATIC_NAME":"M30129","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P78527","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P78527 (PRKDC) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"FOXO4_TARGET_GENES","SYSTEMATIC_NAME":"M40752","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"P98177","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:P98177 (FOXO4) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"TFAM_TARGET_GENES","SYSTEMATIC_NAME":"M30204","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q00059","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q00059 (TFAM) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"IRF9_TARGET_GENES","SYSTEMATIC_NAME":"M40753","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q00978","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q00978 (IRF9) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"MDM2_TARGET_GENES","SYSTEMATIC_NAME":"M40754","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q00987","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q00987 (MDM2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"SATB1_TARGET_GENES","SYSTEMATIC_NAME":"M40755","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q01826","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q01826 (SATB1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"EWSR1_TARGET_GENES","SYSTEMATIC_NAME":"M40756","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q01844","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q01844 (EWSR1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"GUCY1B1_TARGET_GENES","SYSTEMATIC_NAME":"M29986","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q02153","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q02153 (GUCY1B1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ID2_TARGET_GENES","SYSTEMATIC_NAME":"M30023","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q02363","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q02363 (ID2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"MAP2K1_TARGET_GENES","SYSTEMATIC_NAME":"M30055","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q02750","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q02750 (MAP2K1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"TOP2B_TARGET_GENES","SYSTEMATIC_NAME":"M30211","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q02880","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q02880 (TOP2B) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"HHEX_TARGET_GENES","SYSTEMATIC_NAME":"M29997","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q03014","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q03014 (HHEX) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"LMNB2_TARGET_GENES","SYSTEMATIC_NAME":"M30050","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q03252","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q03252 (LMNB2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"CEBPZ_TARGET_GENES","SYSTEMATIC_NAME":"M29919","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q03701","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q03701 (CEBPZ) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF85_TARGET_GENES","SYSTEMATIC_NAME":"M30399","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q03923","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q03923 (ZNF85) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"HSF2_TARGET_GENES","SYSTEMATIC_NAME":"M30020","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q03933","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q03933 (HSF2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF92_TARGET_GENES","SYSTEMATIC_NAME":"M30400","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q03936","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q03936 (ZNF92) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"EMX1_TARGET_GENES","SYSTEMATIC_NAME":"M29957","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q04741","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q04741 (EMX1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"MXD1_TARGET_GENES","SYSTEMATIC_NAME":"M40757","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q05195","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q05195 (MXD1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"MEF2C_TARGET_GENES","SYSTEMATIC_NAME":"M40758","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q06413","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q06413 (MEF2C) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"PAX8_TARGET_GENES","SYSTEMATIC_NAME":"M30111","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q06710","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q06710 (PAX8) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF33A_TARGET_GENES","SYSTEMATIC_NAME":"M30302","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q06730","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q06730 (ZNF33A) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZFP36L1_TARGET_GENES","SYSTEMATIC_NAME":"M40759","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q07352","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q07352 (ZFP36L1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"DLX2_TARGET_GENES","SYSTEMATIC_NAME":"M29941","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q07687","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q07687 (DLX2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"PPARA_TARGET_GENES","SYSTEMATIC_NAME":"M30123","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q07869","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q07869 (PPARA) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF816_TARGET_GENES","SYSTEMATIC_NAME":"M40760","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q0VGE8","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q0VGE8 (ZNF816) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"DBP_TARGET_GENES","SYSTEMATIC_NAME":"M40761","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q10586","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q10586 (DBP) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"GTF3C1_TARGET_GENES","SYSTEMATIC_NAME":"M40762","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q12789","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q12789 (GTF3C1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"TFCP2_TARGET_GENES","SYSTEMATIC_NAME":"M40763","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q12800","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q12800 (TFCP2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"BPTF_TARGET_GENES","SYSTEMATIC_NAME":"M40764","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q12830","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q12830 (BPTF) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"FOXF1_TARGET_GENES","SYSTEMATIC_NAME":"M40765","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q12946","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q12946 (FOXF1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"FOXF2_TARGET_GENES","SYSTEMATIC_NAME":"M40766","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q12947","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q12947 (FOXF2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"FOXC1_TARGET_GENES","SYSTEMATIC_NAME":"M40767","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q12948","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q12948 (FOXC1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"CHAF1A_TARGET_GENES","SYSTEMATIC_NAME":"M29921","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q13111","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q13111 (CHAF1A) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"CHAF1B_TARGET_GENES","SYSTEMATIC_NAME":"M29922","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q13112","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q13112 (CHAF1B) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"RLF_TARGET_GENES","SYSTEMATIC_NAME":"M30143","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q13129","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q13129 (RLF) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ERCC8_TARGET_GENES","SYSTEMATIC_NAME":"M29959","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q13216","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q13216 (ERCC8) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"SRSF9_TARGET_GENES","SYSTEMATIC_NAME":"M30183","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q13242","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q13242 (SRSF9) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"NR5A1_TARGET_GENES","SYSTEMATIC_NAME":"M30103","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q13285","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q13285 (NR5A1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"SKP2_TARGET_GENES","SYSTEMATIC_NAME":"M30162","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q13309","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q13309 (SKP2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ATM_TARGET_GENES","SYSTEMATIC_NAME":"M29895","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q13315","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q13315 (ATM) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF211_TARGET_GENES","SYSTEMATIC_NAME":"M30276","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q13398","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q13398 (ZNF211) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ILK_TARGET_GENES","SYSTEMATIC_NAME":"M30026","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q13418","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q13418 (ILK) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"TCOF1_TARGET_GENES","SYSTEMATIC_NAME":"M30197","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q13428","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q13428 (TCOF1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"SNAPC2_TARGET_GENES","SYSTEMATIC_NAME":"M30168","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q13487","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q13487 (SNAPC2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"SQSTM1_TARGET_GENES","SYSTEMATIC_NAME":"M30178","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q13501","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q13501 (SQSTM1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"IRF5_TARGET_GENES","SYSTEMATIC_NAME":"M30028","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q13568","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q13568 (IRF5) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"DYRK1A_TARGET_GENES","SYSTEMATIC_NAME":"M29950","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q13627","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q13627 (DYRK1A) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"LAMB3_TARGET_GENES","SYSTEMATIC_NAME":"M40768","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q13751","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q13751 (LAMB3) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"NCOA4_TARGET_GENES","SYSTEMATIC_NAME":"M40769","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q13772","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q13772 (NCOA4) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"SAFB2_TARGET_GENES","SYSTEMATIC_NAME":"M34470","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q14151","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q14151 (SAFB2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"TFDP2_TARGET_GENES","SYSTEMATIC_NAME":"M30206","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q14188","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q14188 (TFDP2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"WRN_TARGET_GENES","SYSTEMATIC_NAME":"M30229","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q14191","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q14191 (WRN) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"NPAT_TARGET_GENES","SYSTEMATIC_NAME":"M30096","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q14207","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q14207 (NPAT) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"E2F2_TARGET_GENES","SYSTEMATIC_NAME":"M29951","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q14209","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q14209 (E2F2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"CSHL1_TARGET_GENES","SYSTEMATIC_NAME":"M29932","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q14406","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q14406 (CSHL1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"NFE2L1_TARGET_GENES","SYSTEMATIC_NAME":"M30085","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q14494","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q14494 (NFE2L1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"NCOA6_TARGET_GENES","SYSTEMATIC_NAME":"M30082","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q14686","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q14686 (NCOA6) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"MEF2D_TARGET_GENES","SYSTEMATIC_NAME":"M30063","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q14814","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q14814 (MEF2D) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ARID5B_TARGET_GENES","SYSTEMATIC_NAME":"M29889","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q14865","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q14865 (ARID5B) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF169_TARGET_GENES","SYSTEMATIC_NAME":"M30268","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q14929","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q14929 (ZNF169) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ATXN7L3_TARGET_GENES","SYSTEMATIC_NAME":"M40770","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q14CW9","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q14CW9 (ATXN7L3) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF146_TARGET_GENES","SYSTEMATIC_NAME":"M30264","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q15072","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q15072 (ZNF146) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZMYND11_TARGET_GENES","SYSTEMATIC_NAME":"M30254","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q15326","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q15326 (ZMYND11) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"E2F5_TARGET_GENES","SYSTEMATIC_NAME":"M29952","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q15329","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q15329 (E2F5) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"SIX1_TARGET_GENES","SYSTEMATIC_NAME":"M30159","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q15475","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q15475 (SIX1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"TERF2_TARGET_GENES","SYSTEMATIC_NAME":"M30201","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q15554","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q15554 (TERF2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"TEAD2_TARGET_GENES","SYSTEMATIC_NAME":"M30199","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q15562","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q15562 (TEAD2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"NCOA2_TARGET_GENES","SYSTEMATIC_NAME":"M30080","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q15596","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q15596 (NCOA2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"TRIP13_TARGET_GENES","SYSTEMATIC_NAME":"M30213","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q15645","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q15645 (TRIP13) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ELF2_TARGET_GENES","SYSTEMATIC_NAME":"M29955","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q15723","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q15723 (ELF2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"NAB2_TARGET_GENES","SYSTEMATIC_NAME":"M30079","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q15742","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q15742 (NAB2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"CEBPE_TARGET_GENES","SYSTEMATIC_NAME":"M29918","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q15744","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q15744 (CEBPE) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"NEUROD2_TARGET_GENES","SYSTEMATIC_NAME":"M30083","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q15784","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q15784 (NEUROD2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZFHX3_TARGET_GENES","SYSTEMATIC_NAME":"M30244","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q15911","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q15911 (ZFHX3) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF239_TARGET_GENES","SYSTEMATIC_NAME":"M30285","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q16600","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q16600 (ZNF239) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"POU2AF1_TARGET_GENES","SYSTEMATIC_NAME":"M34471","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q16633","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q16633 (POU2AF1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"TAZ_TARGET_GENES","SYSTEMATIC_NAME":"M30192","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q16635","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q16635 (TAZ) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"SMN1_SMN2_TARGET_GENES","SYSTEMATIC_NAME":"M34472","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q16637","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q16637 (SMN1_SMN2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZSCAN26_TARGET_GENES","SYSTEMATIC_NAME":"M30405","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q16670","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q16670 (ZSCAN26) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"RFX7_TARGET_GENES","SYSTEMATIC_NAME":"M30142","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q2KHR2","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q2KHR2 (RFX7) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF423_TARGET_GENES","SYSTEMATIC_NAME":"M30320","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q2M1K9","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q2M1K9 (ZNF423) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF791_TARGET_GENES","SYSTEMATIC_NAME":"M30393","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q3KP31","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q3KP31 (ZNF791) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF528_TARGET_GENES","SYSTEMATIC_NAME":"M30340","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q3MIS6","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q3MIS6 (ZNF528) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZSCAN23_TARGET_GENES","SYSTEMATIC_NAME":"M30404","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q3MJ62","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q3MJ62 (ZSCAN23) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF260_TARGET_GENES","SYSTEMATIC_NAME":"M40771","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q3ZCT1","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q3ZCT1 (ZNF260) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF404_TARGET_GENES","SYSTEMATIC_NAME":"M30313","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q494X3","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q494X3 (ZNF404) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZBED5_TARGET_GENES","SYSTEMATIC_NAME":"M40772","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q49AG3","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q49AG3 (ZBED5) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"GREB1_TARGET_GENES","SYSTEMATIC_NAME":"M29981","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q4ZG55","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q4ZG55 (GREB1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF585B_TARGET_GENES","SYSTEMATIC_NAME":"M30358","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q52M93","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q52M93 (ZNF585B) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF394_TARGET_GENES","SYSTEMATIC_NAME":"M40773","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q53GI3","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q53GI3 (ZNF394) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"COBLL1_TARGET_GENES","SYSTEMATIC_NAME":"M29926","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q53SF7","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q53SF7 (COBLL1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF766_TARGET_GENES","SYSTEMATIC_NAME":"M30385","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q5HY98","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q5HY98 (ZNF766) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF667_TARGET_GENES","SYSTEMATIC_NAME":"M30373","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q5HYK9","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q5HYK9 (ZNF667) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"SNAPC4_TARGET_GENES","SYSTEMATIC_NAME":"M30169","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q5SXM2","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q5SXM2 (SNAPC4) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF362_TARGET_GENES","SYSTEMATIC_NAME":"M30308","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q5T0B9","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q5T0B9 (ZNF362) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF618_TARGET_GENES","SYSTEMATIC_NAME":"M30366","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q5T7W0","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q5T7W0 (ZNF618) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF697_TARGET_GENES","SYSTEMATIC_NAME":"M40774","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q5TEC3","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q5TEC3 (ZNF697) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF318_TARGET_GENES","SYSTEMATIC_NAME":"M40775","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q5VUA4","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q5VUA4 (ZNF318) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF776_TARGET_GENES","SYSTEMATIC_NAME":"M30388","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q68DI1","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q68DI1 (ZNF776) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF626_TARGET_GENES","SYSTEMATIC_NAME":"M30369","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q68DY1","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q68DY1 (ZNF626) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF660_TARGET_GENES","SYSTEMATIC_NAME":"M30371","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q6AZW8","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q6AZW8 (ZNF660) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"HMBOX1_TARGET_GENES","SYSTEMATIC_NAME":"M40776","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q6NT76","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q6NT76 (HMBOX1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF746_TARGET_GENES","SYSTEMATIC_NAME":"M34473","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q6NUN9","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q6NUN9 (ZNF746) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF774_TARGET_GENES","SYSTEMATIC_NAME":"M40777","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q6NX45","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q6NX45 (ZNF774) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"CAVIN1_TARGET_GENES","SYSTEMATIC_NAME":"M29910","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q6NZI2","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q6NZI2 (CAVIN1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"CDC73_TARGET_GENES","SYSTEMATIC_NAME":"M40778","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q6P1J9","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q6P1J9 (CDC73) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"CC2D1A_TARGET_GENES","SYSTEMATIC_NAME":"M40779","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q6P1N0","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q6P1N0 (CC2D1A) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF529_TARGET_GENES","SYSTEMATIC_NAME":"M40780","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q6P280","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q6P280 (ZNF529) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"NFRKB_TARGET_GENES","SYSTEMATIC_NAME":"M40781","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q6P4R8","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q6P4R8 (NFRKB) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF530_TARGET_GENES","SYSTEMATIC_NAME":"M40782","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q6P9A1","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q6P9A1 (ZNF530) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF549_TARGET_GENES","SYSTEMATIC_NAME":"M40783","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q6P9A3","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q6P9A3 (ZNF549) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF449_TARGET_GENES","SYSTEMATIC_NAME":"M40784","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q6P9G9","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q6P9G9 (ZNF449) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"CTR9_TARGET_GENES","SYSTEMATIC_NAME":"M29934","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q6PD62","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q6PD62 (CTR9) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"FOXR2_TARGET_GENES","SYSTEMATIC_NAME":"M29976","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q6PJQ5","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q6PJQ5 (FOXR2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF322_TARGET_GENES","SYSTEMATIC_NAME":"M30299","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q6U7Q0","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q6U7Q0 (ZNF322) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"DPPA3_TARGET_GENES","SYSTEMATIC_NAME":"M40785","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q6W0C5","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q6W0C5 (DPPA3) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"KDM7A_TARGET_GENES","SYSTEMATIC_NAME":"M40786","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q6ZMT4","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q6ZMT4 (KDM7A) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"AEBP2_TARGET_GENES","SYSTEMATIC_NAME":"M40787","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q6ZN18","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q6ZN18 (AEBP2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"NFXL1_TARGET_GENES","SYSTEMATIC_NAME":"M40788","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q6ZNB6","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q6ZNB6 (NFXL1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF704_TARGET_GENES","SYSTEMATIC_NAME":"M40789","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q6ZNC4","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q6ZNC4 (ZNF704) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"SRCAP_TARGET_GENES","SYSTEMATIC_NAME":"M40790","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q6ZRS2","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q6ZRS2 (SRCAP) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZBTB49_TARGET_GENES","SYSTEMATIC_NAME":"M40791","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q6ZSB9","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q6ZSB9 (ZBTB49) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"TSHZ1_TARGET_GENES","SYSTEMATIC_NAME":"M40792","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q6ZSZ6","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q6ZSZ6 (TSHZ1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"CREB3L2_TARGET_GENES","SYSTEMATIC_NAME":"M40793","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q70SY1","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q70SY1 (CREB3L2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"MED25_TARGET_GENES","SYSTEMATIC_NAME":"M40794","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q71SY5","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q71SY5 (MED25) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ASXL2_TARGET_GENES","SYSTEMATIC_NAME":"M40795","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q76L83","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q76L83 (ASXL2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"SETX_TARGET_GENES","SYSTEMATIC_NAME":"M40796","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q7Z333","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q7Z333 (SETX) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZSCAN2_TARGET_GENES","SYSTEMATIC_NAME":"M30402","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q7Z7L9","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q7Z7L9 (ZSCAN2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"PBRM1_TARGET_GENES","SYSTEMATIC_NAME":"M30112","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q86U86","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q86U86 (PBRM1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF329_TARGET_GENES","SYSTEMATIC_NAME":"M30300","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q86UD4","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q86UD4 (ZNF329) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF589_TARGET_GENES","SYSTEMATIC_NAME":"M30360","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q86UQ0","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q86UQ0 (ZNF589) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF410_TARGET_GENES","SYSTEMATIC_NAME":"M30316","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q86VK4","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q86VK4 (ZNF410) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZSCAN30_TARGET_GENES","SYSTEMATIC_NAME":"M30406","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q86W11","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q86W11 (ZSCAN30) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"CARM1_TARGET_GENES","SYSTEMATIC_NAME":"M29909","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q86X55","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q86X55 (CARM1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF677_TARGET_GENES","SYSTEMATIC_NAME":"M40797","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q86XU0","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q86XU0 (ZNF677) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF354C_TARGET_GENES","SYSTEMATIC_NAME":"M40798","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q86Y25","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q86Y25 (ZNF354C) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF584_TARGET_GENES","SYSTEMATIC_NAME":"M40799","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q8IVC4","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q8IVC4 (ZNF584) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF547_TARGET_GENES","SYSTEMATIC_NAME":"M40800","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q8IVP9","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q8IVP9 (ZNF547) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ARID3B_TARGET_GENES","SYSTEMATIC_NAME":"M40801","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q8IVW6","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q8IVW6 (ARID3B) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZSCAN29_TARGET_GENES","SYSTEMATIC_NAME":"M40802","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q8IWY8","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q8IWY8 (ZSCAN29) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF595_TARGET_GENES","SYSTEMATIC_NAME":"M40803","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q8IYB9","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q8IYB9 (ZNF595) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZZZ3_TARGET_GENES","SYSTEMATIC_NAME":"M40804","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q8IYH5","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q8IYH5 (ZZZ3) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF34_TARGET_GENES","SYSTEMATIC_NAME":"M40805","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q8IZ26","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q8IZ26 (ZNF34) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF101_TARGET_GENES","SYSTEMATIC_NAME":"M40806","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q8IZC7","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q8IZC7 (ZNF101) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"SS18_SSX1_FUSION_UNIPROT_Q8IZH1_UNREVIEWED_TARGET_GENES","SYSTEMATIC_NAME":"M40807","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q8IZH1","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q8IZH1 (SS18_SSX1_FUSION_UNIPROT_Q8IZH1_UNREVIEWED) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF654_TARGET_GENES","SYSTEMATIC_NAME":"M40808","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q8IZM8","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q8IZM8 (ZNF654) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"MYOCD_TARGET_GENES","SYSTEMATIC_NAME":"M40809","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q8IZQ8","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q8IZQ8 (MYOCD) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"MIER1_TARGET_GENES","SYSTEMATIC_NAME":"M30065","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q8N108","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q8N108 (MIER1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZFP82_TARGET_GENES","SYSTEMATIC_NAME":"M30250","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q8N141","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q8N141 (ZFP82) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"BCL6B_TARGET_GENES","SYSTEMATIC_NAME":"M29904","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q8N143","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q8N143 (BCL6B) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"PIAS4_TARGET_GENES","SYSTEMATIC_NAME":"M30121","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q8N2W9","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q8N2W9 (PIAS4) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF664_TARGET_GENES","SYSTEMATIC_NAME":"M30372","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q8N3J9","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q8N3J9 (ZNF664) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"LCORL_TARGET_GENES","SYSTEMATIC_NAME":"M30045","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q8N3X6","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q8N3X6 (LCORL) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"PGBD5_TARGET_GENES","SYSTEMATIC_NAME":"M30118","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q8N414","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q8N414 (PGBD5) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF843_TARGET_GENES","SYSTEMATIC_NAME":"M30398","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q8N446","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q8N446 (ZNF843) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"RYBP_TARGET_GENES","SYSTEMATIC_NAME":"M30149","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q8N488","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q8N488 (RYBP) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF561_TARGET_GENES","SYSTEMATIC_NAME":"M30351","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q8N587","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q8N587 (ZNF561) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"PAF1_TARGET_GENES","SYSTEMATIC_NAME":"M30106","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q8N7H5","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q8N7H5 (PAF1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF433_TARGET_GENES","SYSTEMATIC_NAME":"M30322","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q8N7K0","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q8N7K0 (ZNF433) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF781_TARGET_GENES","SYSTEMATIC_NAME":"M30390","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q8N8C0","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q8N8C0 (ZNF781) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF513_TARGET_GENES","SYSTEMATIC_NAME":"M30337","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q8N8E2","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q8N8E2 (ZNF513) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF491_TARGET_GENES","SYSTEMATIC_NAME":"M30329","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q8N8L2","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q8N8L2 (ZNF491) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF454_TARGET_GENES","SYSTEMATIC_NAME":"M30325","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q8N9F8","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q8N9F8 (ZNF454) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"BANP_TARGET_GENES","SYSTEMATIC_NAME":"M29900","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q8N9N5","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q8N9N5 (BANP) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF610_TARGET_GENES","SYSTEMATIC_NAME":"M30365","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q8N9Z0","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q8N9Z0 (ZNF610) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF579_TARGET_GENES","SYSTEMATIC_NAME":"M40810","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q8NAF0","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q8NAF0 (ZNF579) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZSCAN4_TARGET_GENES","SYSTEMATIC_NAME":"M40811","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q8NAM6","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q8NAM6 (ZSCAN4) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"KDM1B_TARGET_GENES","SYSTEMATIC_NAME":"M40812","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q8NB78","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q8NB78 (KDM1B) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF784_TARGET_GENES","SYSTEMATIC_NAME":"M40813","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q8NCA9","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q8NCA9 (ZNF784) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"HJURP_TARGET_GENES","SYSTEMATIC_NAME":"M40814","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q8NCD3","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q8NCD3 (HJURP) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZBTB44_TARGET_GENES","SYSTEMATIC_NAME":"M40815","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q8NCP5","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q8NCP5 (ZBTB44) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF740_TARGET_GENES","SYSTEMATIC_NAME":"M40816","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q8NDX6","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q8NDX6 (ZNF740) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF548_TARGET_GENES","SYSTEMATIC_NAME":"M40817","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q8NEK5","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q8NEK5 (ZNF548) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF680_TARGET_GENES","SYSTEMATIC_NAME":"M40818","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q8NEM1","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q8NEM1 (ZNF680) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"SUPT20H_TARGET_GENES","SYSTEMATIC_NAME":"M40819","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q8NEM7","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q8NEM7 (SUPT20H) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF555_TARGET_GENES","SYSTEMATIC_NAME":"M40820","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q8NEP9","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q8NEP9 (ZNF555) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"TET1_TARGET_GENES","SYSTEMATIC_NAME":"M40821","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q8NFU7","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q8NFU7 (TET1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZFP28_TARGET_GENES","SYSTEMATIC_NAME":"M30245","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q8NHY6","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q8NHY6 (ZFP28) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF563_TARGET_GENES","SYSTEMATIC_NAME":"M30352","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q8TA94","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q8TA94 (ZNF563) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"SNIP1_TARGET_GENES","SYSTEMATIC_NAME":"M30170","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q8TAD8","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q8TAD8 (SNIP1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"NKX2_3_TARGET_GENES","SYSTEMATIC_NAME":"M30090","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q8TAU0","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q8TAU0 (NKX2_3) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZSCAN18_TARGET_GENES","SYSTEMATIC_NAME":"M30401","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q8TBC5","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q8TBC5 (ZSCAN18) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"BAHD1_TARGET_GENES","SYSTEMATIC_NAME":"M29899","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q8TBE0","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q8TBE0 (BAHD1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF502_TARGET_GENES","SYSTEMATIC_NAME":"M30332","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q8TBZ5","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q8TBZ5 (ZNF502) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF596_TARGET_GENES","SYSTEMATIC_NAME":"M30363","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q8TC21","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q8TC21 (ZNF596) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF507_TARGET_GENES","SYSTEMATIC_NAME":"M30333","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q8TCN5","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q8TCN5 (ZNF507) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"KLF14_TARGET_GENES","SYSTEMATIC_NAME":"M30038","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q8TD94","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q8TD94 (KLF14) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"CREB3L4_TARGET_GENES","SYSTEMATIC_NAME":"M29930","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q8TEY5","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q8TEY5 (CREB3L4) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF418_TARGET_GENES","SYSTEMATIC_NAME":"M30318","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q8TF45","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q8TF45 (ZNF418) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"SETD7_TARGET_GENES","SYSTEMATIC_NAME":"M30154","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q8WTS6","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q8WTS6 (SETD7) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"AUTS2_TARGET_GENES","SYSTEMATIC_NAME":"M40822","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q8WXX7","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q8WXX7 (AUTS2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"JDP2_TARGET_GENES","SYSTEMATIC_NAME":"M40823","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q8WYK2","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q8WYK2 (JDP2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"HSD17B8_TARGET_GENES","SYSTEMATIC_NAME":"M30019","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q92506","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q92506 (HSD17B8) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"MAML1_TARGET_GENES","SYSTEMATIC_NAME":"M30054","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q92585","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q92585 (MAML1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF592_TARGET_GENES","SYSTEMATIC_NAME":"M30361","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q92610","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q92610 (ZNF592) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"GTF3A_TARGET_GENES","SYSTEMATIC_NAME":"M29985","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q92664","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q92664 (GTF3A) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"KAT2A_TARGET_GENES","SYSTEMATIC_NAME":"M30033","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q92830","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q92830 (KAT2A) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"DLX4_TARGET_GENES","SYSTEMATIC_NAME":"M29942","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q92988","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q92988 (DLX4) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"KAT5_TARGET_GENES","SYSTEMATIC_NAME":"M30034","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q92993","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q92993 (KAT5) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"BRF1_TARGET_GENES","SYSTEMATIC_NAME":"M29907","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q92994","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q92994 (BRF1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF622_TARGET_GENES","SYSTEMATIC_NAME":"M40824","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q969S3","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q969S3 (ZNF622) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"PBXIP1_TARGET_GENES","SYSTEMATIC_NAME":"M30113","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q96AQ6","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q96AQ6 (PBXIP1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"PHF21A_TARGET_GENES","SYSTEMATIC_NAME":"M30120","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q96BD5","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q96BD5 (PHF21A) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF669_TARGET_GENES","SYSTEMATIC_NAME":"M30374","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q96BR6","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q96BR6 (ZNF669) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"CENPT_TARGET_GENES","SYSTEMATIC_NAME":"M29920","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q96BT3","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q96BT3 (CENPT) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF707_TARGET_GENES","SYSTEMATIC_NAME":"M30381","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q96C28","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q96C28 (ZNF707) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF524_TARGET_GENES","SYSTEMATIC_NAME":"M30339","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q96C55","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q96C55 (ZNF524) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF501_TARGET_GENES","SYSTEMATIC_NAME":"M30331","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q96CX3","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q96CX3 (ZNF501) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF837_TARGET_GENES","SYSTEMATIC_NAME":"M30397","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q96EG3","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q96EG3 (ZNF837) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"MCRS1_TARGET_GENES","SYSTEMATIC_NAME":"M30060","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q96EZ8","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q96EZ8 (MCRS1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"SIPA1_TARGET_GENES","SYSTEMATIC_NAME":"M30157","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q96FS4","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q96FS4 (SIPA1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"HMCES_TARGET_GENES","SYSTEMATIC_NAME":"M30000","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q96FZ2","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q96FZ2 (HMCES) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF274_TARGET_GENES","SYSTEMATIC_NAME":"M30291","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q96GC6","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q96GC6 (ZNF274) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF486_TARGET_GENES","SYSTEMATIC_NAME":"M30326","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q96H40","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q96H40 (ZNF486) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF419_TARGET_GENES","SYSTEMATIC_NAME":"M30319","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q96HQ0","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q96HQ0 (ZNF419) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"RBM17_TARGET_GENES","SYSTEMATIC_NAME":"M30139","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q96I25","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q96I25 (RBM17) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"RAX2_TARGET_GENES","SYSTEMATIC_NAME":"M30136","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q96IS3","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q96IS3 (RAX2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"CHAMP1_TARGET_GENES","SYSTEMATIC_NAME":"M29923","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q96JM3","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q96JM3 (CHAMP1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZFP91_TARGET_GENES","SYSTEMATIC_NAME":"M30251","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q96JP5","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q96JP5 (ZFP91) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF514_TARGET_GENES","SYSTEMATIC_NAME":"M30338","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q96K75","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q96K75 (ZNF514) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF512B_TARGET_GENES","SYSTEMATIC_NAME":"M30336","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q96KM6","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q96KM6 (ZNF512B) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF354B_TARGET_GENES","SYSTEMATIC_NAME":"M30306","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q96LW1","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q96LW1 (ZNF354B) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZSCAN31_TARGET_GENES","SYSTEMATIC_NAME":"M30407","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q96LW9","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q96LW9 (ZSCAN31) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF597_TARGET_GENES","SYSTEMATIC_NAME":"M30364","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q96LX8","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q96LX8 (ZNF597) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF512_TARGET_GENES","SYSTEMATIC_NAME":"M30335","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q96ME7","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q96ME7 (ZNF512) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF488_TARGET_GENES","SYSTEMATIC_NAME":"M30327","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q96MN9","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q96MN9 (ZNF488) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF560_TARGET_GENES","SYSTEMATIC_NAME":"M30350","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q96MR9","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q96MR9 (ZNF560) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF830_TARGET_GENES","SYSTEMATIC_NAME":"M30396","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q96NB3","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q96NB3 (ZNF830) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF558_TARGET_GENES","SYSTEMATIC_NAME":"M30349","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q96NG5","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q96NG5 (ZNF558) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF582_TARGET_GENES","SYSTEMATIC_NAME":"M30356","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q96NG8","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q96NG8 (ZNF582) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZFP3_TARGET_GENES","SYSTEMATIC_NAME":"M30246","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q96NJ6","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q96NJ6 (ZFP3) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZIM3_TARGET_GENES","SYSTEMATIC_NAME":"M30252","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q96PE6","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q96PE6 (ZIM3) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"LMTK3_TARGET_GENES","SYSTEMATIC_NAME":"M30051","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q96Q04","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q96Q04 (LMTK3) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ALKBH3_TARGET_GENES","SYSTEMATIC_NAME":"M29885","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q96Q83","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q96Q83 (ALKBH3) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"NR1H4_TARGET_GENES","SYSTEMATIC_NAME":"M40825","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q96RI1","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q96RI1 (NR1H4) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"CIC_TARGET_GENES","SYSTEMATIC_NAME":"M40826","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q96RK0","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q96RK0 (CIC) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"WRNIP1_TARGET_GENES","SYSTEMATIC_NAME":"M40827","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q96S55","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q96S55 (WRNIP1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"SRPK1_TARGET_GENES","SYSTEMATIC_NAME":"M40828","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q96SB4","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q96SB4 (SRPK1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ATOH8_TARGET_GENES","SYSTEMATIC_NAME":"M40829","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q96SQ7","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q96SQ7 (ATOH8) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"RBM15_TARGET_GENES","SYSTEMATIC_NAME":"M40830","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q96T37","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q96T37 (RBM15) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"INSM2_TARGET_GENES","SYSTEMATIC_NAME":"M40831","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q96T92","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q96T92 (INSM2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"CDC5L_TARGET_GENES","SYSTEMATIC_NAME":"M29915","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q99459","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q99459 (CDC5L) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"MPHOSPH8_TARGET_GENES","SYSTEMATIC_NAME":"M30069","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q99549","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q99549 (MPHOSPH8) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"FEV_TARGET_GENES","SYSTEMATIC_NAME":"M29964","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q99581","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q99581 (FEV) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZBTB18_TARGET_GENES","SYSTEMATIC_NAME":"M30238","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q99592","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q99592 (ZBTB18) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"PHB2_TARGET_GENES","SYSTEMATIC_NAME":"M30119","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q99623","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q99623 (PHB2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF184_TARGET_GENES","SYSTEMATIC_NAME":"M30270","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q99676","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q99676 (ZNF184) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"SIGMAR1_TARGET_GENES","SYSTEMATIC_NAME":"M30156","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q99720","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q99720 (SIGMAR1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"EBNA1BP2_TARGET_GENES","SYSTEMATIC_NAME":"M29953","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q99848","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q99848 (EBNA1BP2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF2_TARGET_GENES","SYSTEMATIC_NAME":"M30273","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9BSG1","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9BSG1 (ZNF2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF577_TARGET_GENES","SYSTEMATIC_NAME":"M30353","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9BSK1","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9BSK1 (ZNF577) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"PCGF1_TARGET_GENES","SYSTEMATIC_NAME":"M30115","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9BSM1","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9BSM1 (PCGF1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"DIDO1_TARGET_GENES","SYSTEMATIC_NAME":"M29940","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9BTC0","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9BTC0 (DIDO1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF426_TARGET_GENES","SYSTEMATIC_NAME":"M40832","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9BUY5","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9BUY5 (ZNF426) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF416_TARGET_GENES","SYSTEMATIC_NAME":"M40833","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9BWM5","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9BWM5 (ZNF416) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"HDAC8_TARGET_GENES","SYSTEMATIC_NAME":"M40834","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9BY41","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9BY41 (HDAC8) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"KDM5D_TARGET_GENES","SYSTEMATIC_NAME":"M40835","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9BY66","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9BY66 (KDM5D) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"PCGF6_TARGET_GENES","SYSTEMATIC_NAME":"M40836","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9BYE7","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9BYE7 (PCGF6) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"BACH2_TARGET_GENES","SYSTEMATIC_NAME":"M40837","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9BYV9","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9BYV9 (BACH2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"BARHL1_TARGET_GENES","SYSTEMATIC_NAME":"M40838","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9BZE3","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9BZE3 (BARHL1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"IRX2_TARGET_GENES","SYSTEMATIC_NAME":"M40839","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9BZI1","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9BZI1 (IRX2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"FOXQ1_TARGET_GENES","SYSTEMATIC_NAME":"M29975","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9C009","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9C009 (FOXQ1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF436_TARGET_GENES","SYSTEMATIC_NAME":"M30323","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9C0F3","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9C0F3 (ZNF436) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF407_TARGET_GENES","SYSTEMATIC_NAME":"M30314","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9C0G0","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9C0G0 (ZNF407) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF350_TARGET_GENES","SYSTEMATIC_NAME":"M30304","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9GZX5","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9GZX5 (ZNF350) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"HOXD1_TARGET_GENES","SYSTEMATIC_NAME":"M30017","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9GZZ0","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9GZZ0 (HOXD1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ALX4_TARGET_GENES","SYSTEMATIC_NAME":"M29886","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9H161","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9H161 (ALX4) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"EPC1_TARGET_GENES","SYSTEMATIC_NAME":"M40840","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9H2F5","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9H2F5 (EPC1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ADNP_TARGET_GENES","SYSTEMATIC_NAME":"M40841","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9H2P0","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9H2P0 (ADNP) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"PRDM12_TARGET_GENES","SYSTEMATIC_NAME":"M30125","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9H4Q4","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9H4Q4 (PRDM12) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF768_TARGET_GENES","SYSTEMATIC_NAME":"M30386","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9H5H4","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9H5H4 (ZNF768) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"STN1_TARGET_GENES","SYSTEMATIC_NAME":"M30184","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9H668","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9H668 (STN1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"TDRD3_TARGET_GENES","SYSTEMATIC_NAME":"M30198","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9H7E2","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9H7E2 (TDRD3) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"VRTN_TARGET_GENES","SYSTEMATIC_NAME":"M34474","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9H8Y1","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9H8Y1 (VRTN) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"BRF2_TARGET_GENES","SYSTEMATIC_NAME":"M29908","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9HAW0","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9HAW0 (BRF2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"TAF9B_TARGET_GENES","SYSTEMATIC_NAME":"M30190","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9HBM6","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9HBM6 (TAF9B) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"BARX1_TARGET_GENES","SYSTEMATIC_NAME":"M29902","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9HBU1","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9HBU1 (BARX1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ARNT2_TARGET_GENES","SYSTEMATIC_NAME":"M29890","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9HBZ2","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9HBZ2 (ARNT2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"HES4_TARGET_GENES","SYSTEMATIC_NAME":"M29995","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9HCC6","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9HCC6 (HES4) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF532_TARGET_GENES","SYSTEMATIC_NAME":"M30343","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9HCE3","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9HCE3 (ZNF532) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"METTL14_TARGET_GENES","SYSTEMATIC_NAME":"M30064","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9HCE5","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9HCE5 (METTL14) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"UBN1_TARGET_GENES","SYSTEMATIC_NAME":"M30219","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9NPG3","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9NPG3 (UBN1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"LHX9_TARGET_GENES","SYSTEMATIC_NAME":"M30049","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9NQ69","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9NQ69 (LHX9) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"PRDM5_TARGET_GENES","SYSTEMATIC_NAME":"M30127","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9NQX1","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9NQX1 (PRDM5) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF331_TARGET_GENES","SYSTEMATIC_NAME":"M30301","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9NQX6","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9NQX6 (ZNF331) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF302_TARGET_GENES","SYSTEMATIC_NAME":"M30296","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9NR11","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9NR11 (ZNF302) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ASH1L_TARGET_GENES","SYSTEMATIC_NAME":"M29891","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9NR48","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9NR48 (ASH1L) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"DROSHA_TARGET_GENES","SYSTEMATIC_NAME":"M29949","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9NRR4","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9NRR4 (DROSHA) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ARHGAP35_TARGET_GENES","SYSTEMATIC_NAME":"M29887","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9NRY4","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9NRY4 (ARHGAP35) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"SIRT3_TARGET_GENES","SYSTEMATIC_NAME":"M30158","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9NTG7","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9NTG7 (SIRT3) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"THAP1_TARGET_GENES","SYSTEMATIC_NAME":"M30208","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9NVV9","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9NVV9 (THAP1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF586_TARGET_GENES","SYSTEMATIC_NAME":"M40842","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9NXT0","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9NXT0 (ZNF586) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"UBP1_TARGET_GENES","SYSTEMATIC_NAME":"M40843","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9NZI7","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9NZI7 (UBP1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ADA2_TARGET_GENES","SYSTEMATIC_NAME":"M40844","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9NZK5","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9NZK5 (ADA2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF224_TARGET_GENES","SYSTEMATIC_NAME":"M40845","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9NZL3","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9NZL3 (ZNF224) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"FOXJ2_TARGET_GENES","SYSTEMATIC_NAME":"M29972","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9P0K8","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9P0K8 (FOXJ2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF581_TARGET_GENES","SYSTEMATIC_NAME":"M30355","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9P0T4","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9P0T4 (ZNF581) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"HMG20B_TARGET_GENES","SYSTEMATIC_NAME":"M30001","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9P0W2","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9P0W2 (HMG20B) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"PPARGC1A_TARGET_GENES","SYSTEMATIC_NAME":"M30124","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9UBK2","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9UBK2 (PPARGC1A) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"HEY2_TARGET_GENES","SYSTEMATIC_NAME":"M29996","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9UBP5","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9UBP5 (HEY2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"LHX3_TARGET_GENES","SYSTEMATIC_NAME":"M30047","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9UBR4","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9UBR4 (LHX3) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZMYM2_TARGET_GENES","SYSTEMATIC_NAME":"M30253","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9UBW7","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9UBW7 (ZMYM2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF282_TARGET_GENES","SYSTEMATIC_NAME":"M30292","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9UDV7","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9UDV7 (ZNF282) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"SFMBT1_TARGET_GENES","SYSTEMATIC_NAME":"M30155","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9UHJ3","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9UHJ3 (SFMBT1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"NUFIP1_TARGET_GENES","SYSTEMATIC_NAME":"M30104","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9UHK0","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9UHK0 (NUFIP1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"DACH1_TARGET_GENES","SYSTEMATIC_NAME":"M29936","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9UI36","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9UI36 (DACH1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"SIX4_TARGET_GENES","SYSTEMATIC_NAME":"M30160","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9UIU6","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9UIU6 (SIX4) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF391_TARGET_GENES","SYSTEMATIC_NAME":"M30310","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9UJN7","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9UJN7 (ZNF391) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"SALL4_TARGET_GENES","SYSTEMATIC_NAME":"M30150","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9UJQ4","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9UJQ4 (SALL4) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF112_TARGET_GENES","SYSTEMATIC_NAME":"M30258","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9UJU3","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9UJU3 (ZNF112) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"FOXD3_TARGET_GENES","SYSTEMATIC_NAME":"M29967","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9UJU5","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9UJU5 (FOXD3) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF223_TARGET_GENES","SYSTEMATIC_NAME":"M30281","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9UK11","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9UK11 (ZNF223) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"TASOR_TARGET_GENES","SYSTEMATIC_NAME":"M30191","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9UK61","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9UK61 (TASOR) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"CASP8AP2_TARGET_GENES","SYSTEMATIC_NAME":"M30225","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9UKL3","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9UKL3 (CASP8AP2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"PRDM4_TARGET_GENES","SYSTEMATIC_NAME":"M40846","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9UKN5","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9UKN5 (PRDM4) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ELF5_TARGET_GENES","SYSTEMATIC_NAME":"M40847","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9UKW6","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9UKW6 (ELF5) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF236_TARGET_GENES","SYSTEMATIC_NAME":"M40848","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9UL36","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9UL36 (ZNF236) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF214_TARGET_GENES","SYSTEMATIC_NAME":"M40849","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9UL59","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9UL59 (ZNF214) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF777_TARGET_GENES","SYSTEMATIC_NAME":"M40850","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9ULD5","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9ULD5 (ZNF777) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF490_TARGET_GENES","SYSTEMATIC_NAME":"M40851","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9ULM2","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9ULM2 (ZNF490) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"HSF4_TARGET_GENES","SYSTEMATIC_NAME":"M40852","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9ULV5","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9ULV5 (HSF4) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"NOTCH3_TARGET_GENES","SYSTEMATIC_NAME":"M40853","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9UM47","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9UM47 (NOTCH3) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZA_UNIPROT_Q9UM89_UNREVIEWED_TARGET_GENES","SYSTEMATIC_NAME":"M40854","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9UM89","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9UM89 (ZA_UNIPROT_Q9UM89_UNREVIEWED) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"BARX2_TARGET_GENES","SYSTEMATIC_NAME":"M40855","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9UMQ3","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9UMQ3 (BARX2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"DICER1_TARGET_GENES","SYSTEMATIC_NAME":"M40856","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9UPY3","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9UPY3 (DICER1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"RUVBL2_TARGET_GENES","SYSTEMATIC_NAME":"M30148","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9Y230","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9Y230 (RUVBL2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"RUVBL1_TARGET_GENES","SYSTEMATIC_NAME":"M30147","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9Y265","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9Y265 (RUVBL1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ATF5_TARGET_GENES","SYSTEMATIC_NAME":"M29893","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9Y2D1","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9Y2D1 (ATF5) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF510_TARGET_GENES","SYSTEMATIC_NAME":"M30334","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9Y2H8","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9Y2H8 (ZNF510) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZBTB1_TARGET_GENES","SYSTEMATIC_NAME":"M30235","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9Y2K1","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9Y2K1 (ZBTB1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF257_TARGET_GENES","SYSTEMATIC_NAME":"M30288","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9Y2Q1","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9Y2Q1 (ZNF257) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"THRAP3_TARGET_GENES","SYSTEMATIC_NAME":"M30210","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9Y2W1","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9Y2W1 (THRAP3) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"MED16_TARGET_GENES","SYSTEMATIC_NAME":"M34475","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9Y2X0","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9Y2X0 (MED16) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZBTB12_TARGET_GENES","SYSTEMATIC_NAME":"M30237","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9Y330","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9Y330 (ZBTB12) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF711_TARGET_GENES","SYSTEMATIC_NAME":"M30383","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9Y462","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9Y462 (ZNF711) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZNF175_TARGET_GENES","SYSTEMATIC_NAME":"M30269","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9Y473","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9Y473 (ZNF175) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"NFE2L3_TARGET_GENES","SYSTEMATIC_NAME":"M30086","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9Y4A8","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9Y4A8 (NFE2L3) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"NEUROG3_TARGET_GENES","SYSTEMATIC_NAME":"M30084","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9Y4Z2","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9Y4Z2 (NEUROG3) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"HES2_TARGET_GENES","SYSTEMATIC_NAME":"M29994","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9Y543","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9Y543 (HES2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZSCAN21_TARGET_GENES","SYSTEMATIC_NAME":"M30403","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9Y5A6","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9Y5A6 (ZSCAN21) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"SUPT16H_TARGET_GENES","SYSTEMATIC_NAME":"M30186","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9Y5B9","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9Y5B9 (SUPT16H) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"DMRT1_TARGET_GENES","SYSTEMATIC_NAME":"M29944","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9Y5R6","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9Y5R6 (DMRT1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"NR2E3_TARGET_GENES","SYSTEMATIC_NAME":"M40857","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9Y5X4","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9Y5X4 (NR2E3) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"DNMT3A_TARGET_GENES","SYSTEMATIC_NAME":"M40858","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9Y6K1","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9Y6K1 (DNMT3A) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"ZFP37_TARGET_GENES","SYSTEMATIC_NAME":"M40859","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9Y6Q3","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9Y6Q3 (ZFP37) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"SETBP1_TARGET_GENES","SYSTEMATIC_NAME":"M40860","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9Y6X0","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9Y6X0 (SETBP1) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"MORC2_TARGET_GENES","SYSTEMATIC_NAME":"M40861","ORGANISM":"Homo sapiens","PMID":"33231677","AUTHORS":"Kolmykov S,Yevshin I,Kulyashov M,Sharipov R,Kondrakhin Y,Makeev VJ,Kulakovskiy IV,Kel A,Kolpakov F","EXACT_SOURCE":"Q9Y6X9","EXTERNAL_DETAILS_URL":"http://gtrd.biouml.org/","CHIP":"Human_Ensembl_Gene_ID","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:GTRD","CONTRIBUTOR":"Anthony Castanza","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Genes containing one or more binding sites for UniProt:Q9Y6X9 (MORC2) in their promoter regions (TSS -1000,+100 bp) as identified by GTRD version 20.06 ChIP-seq harmonization."}
{"STANDARD_NAME":"AAANWWTGC_UNKNOWN","SYSTEMATIC_NAME":"M3128","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M144 AAANWWTGC in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"AAAYRNCTG_UNKNOWN","SYSTEMATIC_NAME":"M11607","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M77 AAAYRNCTG in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"MYOD_01","SYSTEMATIC_NAME":"M12599","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$MYOD_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"E47_01","SYSTEMATIC_NAME":"M5067","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$E47_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"CMYB_01","SYSTEMATIC_NAME":"M10817","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$CMYB_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"AP4_01","SYSTEMATIC_NAME":"M16694","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$AP4_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"AACTTT_UNKNOWN","SYSTEMATIC_NAME":"M14463","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M17 AACTTT in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"MEF2_01","SYSTEMATIC_NAME":"M2501","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$MEF2_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"ELK1_01","SYSTEMATIC_NAME":"M14686","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$ELK1_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"SP1_01","SYSTEMATIC_NAME":"M4831","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$SP1_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"EVI1_06","SYSTEMATIC_NAME":"M349","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$EVI1_06 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"ATF_01","SYSTEMATIC_NAME":"M16213","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$ATF_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"HOX13_01","SYSTEMATIC_NAME":"M9036","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$HOX13_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"ELK1_02","SYSTEMATIC_NAME":"M19224","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$ELK1_02 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"RSRFC4_01","SYSTEMATIC_NAME":"M574","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$RSRFC4_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"CETS1P54_01","SYSTEMATIC_NAME":"M16231","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$CETS1P54_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"AACWWCAANK_UNKNOWN","SYSTEMATIC_NAME":"M11894","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M108 AACWWCAANK in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"P300_01","SYSTEMATIC_NAME":"M14862","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$P300_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"NFE2_01","SYSTEMATIC_NAME":"M1608","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$NFE2_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"CREB_01","SYSTEMATIC_NAME":"M17180","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$CREB_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"CREBP1_01","SYSTEMATIC_NAME":"M15359","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$CREBP1_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"CREBP1CJUN_01","SYSTEMATIC_NAME":"M16699","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$CREBP1CJUN_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"SOX5_01","SYSTEMATIC_NAME":"M15623","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$SOX5_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"E4BP4_01","SYSTEMATIC_NAME":"M18078","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$E4BP4_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"NFKAPPAB65_01","SYSTEMATIC_NAME":"M2315","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$NFKAPPAB65_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"CREL_01","SYSTEMATIC_NAME":"M10143","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$CREL_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"AACYNNNNTTCCS_UNKNOWN","SYSTEMATIC_NAME":"M11289","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M113 AACYNNNNTTCCS in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"NFKAPPAB_01","SYSTEMATIC_NAME":"M9949","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$NFKAPPAB_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"NMYC_01","SYSTEMATIC_NAME":"M8509","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$NMYC_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"MYOGNF1_01","SYSTEMATIC_NAME":"M3872","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$MYOGNF1_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"COMP1_01","SYSTEMATIC_NAME":"M3994","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$COMP1_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"HEN1_02","SYSTEMATIC_NAME":"M3794","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$HEN1_02 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"YY1_01","SYSTEMATIC_NAME":"M1517","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$YY1_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"IRF1_01","SYSTEMATIC_NAME":"M2709","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$IRF1_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"IRF2_01","SYSTEMATIC_NAME":"M17687","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$IRF2_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"TAL1BETAE47_01","SYSTEMATIC_NAME":"M16414","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$TAL1BETAE47_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"TAL1ALPHAE47_01","SYSTEMATIC_NAME":"M11439","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$TAL1ALPHAE47_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"AAGWWRNYGGC_UNKNOWN","SYSTEMATIC_NAME":"M18044","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M63 AAGWWRNYGGC in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"HEN1_01","SYSTEMATIC_NAME":"M1321","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$HEN1_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"YY1_02","SYSTEMATIC_NAME":"M12880","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$YY1_02 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"TAL1BETAITF2_01","SYSTEMATIC_NAME":"M19390","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$TAL1BETAITF2_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"E47_02","SYSTEMATIC_NAME":"M2389","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$E47_02 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"CP2_01","SYSTEMATIC_NAME":"M17000","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$CP2_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"GATA1_01","SYSTEMATIC_NAME":"M13199","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$GATA1_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"GATA2_01","SYSTEMATIC_NAME":"M14521","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$GATA2_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"GATA3_01","SYSTEMATIC_NAME":"M12580","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$GATA3_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"EVI1_01","SYSTEMATIC_NAME":"M1372","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$EVI1_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"EVI1_02","SYSTEMATIC_NAME":"M1855","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$EVI1_02 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"ACAWNRNSRCGG_UNKNOWN","SYSTEMATIC_NAME":"M6726","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M103 ACAWNRNSRCGG in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"EVI1_03","SYSTEMATIC_NAME":"M16364","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$EVI1_03 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"EVI1_04","SYSTEMATIC_NAME":"M16585","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$EVI1_04 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"EVI1_05","SYSTEMATIC_NAME":"M12043","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$EVI1_05 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"MZF1_01","SYSTEMATIC_NAME":"M18765","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$MZF1_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"MZF1_02","SYSTEMATIC_NAME":"M18254","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$MZF1_02 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"ZID_01","SYSTEMATIC_NAME":"M8684","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$ZID_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"IK1_01","SYSTEMATIC_NAME":"M5959","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$IK1_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"IK2_01","SYSTEMATIC_NAME":"M14778","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$IK2_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"IK3_01","SYSTEMATIC_NAME":"M15551","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$IK3_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"CDP_01","SYSTEMATIC_NAME":"M12297","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$CDP_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"ACAWYAAAG_UNKNOWN","SYSTEMATIC_NAME":"M329","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M142 ACAWYAAAG in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"PBX1_01","SYSTEMATIC_NAME":"M3651","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$PBX1_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"PAX6_01","SYSTEMATIC_NAME":"M17373","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$PAX6_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"PAX2_01","SYSTEMATIC_NAME":"M11949","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$PAX2_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"S8_01","SYSTEMATIC_NAME":"M2528","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$S8_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"CDP_02","SYSTEMATIC_NAME":"M2852","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$CDP_02 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"CDPCR1_01","SYSTEMATIC_NAME":"M19642","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$CDPCR1_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"CDPCR3HD_01","SYSTEMATIC_NAME":"M15128","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$CDPCR3HD_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"NRF2_01","SYSTEMATIC_NAME":"M14948","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$NRF2_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"CEBPB_01","SYSTEMATIC_NAME":"M11821","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$CEBPB_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"ACCTGTTG_UNKNOWN","SYSTEMATIC_NAME":"M9142","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M57 ACCTGTTG in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"CREB_02","SYSTEMATIC_NAME":"M6342","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$CREB_02 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"TAXCREB_01","SYSTEMATIC_NAME":"M5608","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$TAXCREB_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"CEBPA_01","SYSTEMATIC_NAME":"M4896","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$CEBPA_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"CEBPB_02","SYSTEMATIC_NAME":"M19588","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$CEBPB_02 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"MYCMAX_01","SYSTEMATIC_NAME":"M12874","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$MYCMAX_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"MAX_01","SYSTEMATIC_NAME":"M18224","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$MAX_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"USF_01","SYSTEMATIC_NAME":"M13190","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$USF_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"USF_02","SYSTEMATIC_NAME":"M14900","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$USF_02 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"MYCMAX_02","SYSTEMATIC_NAME":"M3024","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$MYCMAX_02 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"ACTAYRNNNCCCR_UNKNOWN","SYSTEMATIC_NAME":"M7165","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M4 ACTAYRNNNCCCR in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"PBX1_02","SYSTEMATIC_NAME":"M6465","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$PBX1_02 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"GATA1_02","SYSTEMATIC_NAME":"M15185","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$GATA1_02 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"GATA1_03","SYSTEMATIC_NAME":"M14186","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$GATA1_03 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"GATA1_04","SYSTEMATIC_NAME":"M14012","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$GATA1_04 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"HFH1_01","SYSTEMATIC_NAME":"M14230","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$HFH1_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"FOXD3_01","SYSTEMATIC_NAME":"M11838","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$FOXD3_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"HNF3B_01","SYSTEMATIC_NAME":"M6136","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$HNF3B_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"HNF1_01","SYSTEMATIC_NAME":"M15429","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$HNF1_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"TST1_01","SYSTEMATIC_NAME":"M19088","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$TST1_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"HNF4_01","SYSTEMATIC_NAME":"M13672","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$HNF4_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"ACTWSNACTNY_UNKNOWN","SYSTEMATIC_NAME":"M1698","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M105 ACTWSNACTNY in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"OCT1_01","SYSTEMATIC_NAME":"M9612","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$OCT1_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"OCT1_02","SYSTEMATIC_NAME":"M7213","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$OCT1_02 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"OCT1_03","SYSTEMATIC_NAME":"M13016","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$OCT1_03 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"OCT1_04","SYSTEMATIC_NAME":"M9034","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$OCT1_04 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"AHR_01","SYSTEMATIC_NAME":"M9986","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$AHR_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"LYF1_01","SYSTEMATIC_NAME":"M14276","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$LYF1_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"PAX5_01","SYSTEMATIC_NAME":"M8536","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$PAX5_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"PAX5_02","SYSTEMATIC_NAME":"M18203","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$PAX5_02 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"BRN2_01","SYSTEMATIC_NAME":"M12934","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$BRN2_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"HSF1_01","SYSTEMATIC_NAME":"M19734","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$HSF1_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"AGCYRWTTC_UNKNOWN","SYSTEMATIC_NAME":"M17392","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M135 AGCYRWTTC in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"HSF2_01","SYSTEMATIC_NAME":"M18963","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$HSF2_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"SRY_01","SYSTEMATIC_NAME":"M492","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$SRY_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"SRF_01","SYSTEMATIC_NAME":"M12047","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$SRF_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"ARP1_01","SYSTEMATIC_NAME":"M9965","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$ARP1_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"RORA1_01","SYSTEMATIC_NAME":"M10652","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$RORA1_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"RORA2_01","SYSTEMATIC_NAME":"M19808","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$RORA2_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"COUP_01","SYSTEMATIC_NAME":"M11913","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$COUP_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"CEBP_01","SYSTEMATIC_NAME":"M8695","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$CEBP_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"SRY_02","SYSTEMATIC_NAME":"M9329","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$SRY_02 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"OCT1_05","SYSTEMATIC_NAME":"M5708","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$OCT1_05 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"ARGGGTTAA_UNKNOWN","SYSTEMATIC_NAME":"M13773","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M65 ARGGGTTAA in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"OCT1_06","SYSTEMATIC_NAME":"M13594","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$OCT1_06 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"AP1FJ_Q2","SYSTEMATIC_NAME":"M16919","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$AP1FJ_Q2 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"AP1_Q2","SYSTEMATIC_NAME":"M9376","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$AP1_Q2 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"AP1_Q6","SYSTEMATIC_NAME":"M9431","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$AP1_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"AP4_Q5","SYSTEMATIC_NAME":"M9026","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$AP4_Q5 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"AP4_Q6","SYSTEMATIC_NAME":"M11345","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$AP4_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"CREB_Q2","SYSTEMATIC_NAME":"M19129","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$CREB_Q2 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"CREB_Q4","SYSTEMATIC_NAME":"M12023","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$CREB_Q4 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"CREBP1_Q2","SYSTEMATIC_NAME":"M11370","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$CREBP1_Q2 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"MYB_Q6","SYSTEMATIC_NAME":"M18645","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$MYB_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"ATCMNTCCGY_UNKNOWN","SYSTEMATIC_NAME":"M9974","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M99 ATCMNTCCGY in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"MYOD_Q6","SYSTEMATIC_NAME":"M14000","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$MYOD_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"NFY_Q6","SYSTEMATIC_NAME":"M9868","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$NFY_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"SRF_Q6","SYSTEMATIC_NAME":"M9364","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$SRF_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"USF_Q6","SYSTEMATIC_NAME":"M4183","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$USF_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"AP1_Q4","SYSTEMATIC_NAME":"M5440","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$AP1_Q4 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"AP2_Q6","SYSTEMATIC_NAME":"M18558","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$AP2_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"CEBP_Q2","SYSTEMATIC_NAME":"M12298","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$CEBP_Q2 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"ER_Q6","SYSTEMATIC_NAME":"M6101","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$ER_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"GR_Q6","SYSTEMATIC_NAME":"M7038","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$GR_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"NF1_Q6","SYSTEMATIC_NAME":"M4803","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$NF1_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"ATGGYGGA_UNKNOWN","SYSTEMATIC_NAME":"M18484","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M102 ATGGYGGA in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"NFKB_Q6","SYSTEMATIC_NAME":"M11921","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$NFKB_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"OCT1_Q6","SYSTEMATIC_NAME":"M6170","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$OCT1_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"SP1_Q6","SYSTEMATIC_NAME":"M9525","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$SP1_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"AP1_C","SYSTEMATIC_NAME":"M7937","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$AP1_C (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"CEBP_C","SYSTEMATIC_NAME":"M958","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$CEBP_C (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"GATA_C","SYSTEMATIC_NAME":"M18920","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$GATA_C (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"GRE_C","SYSTEMATIC_NAME":"M13457","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$GRE_C (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"HNF1_C","SYSTEMATIC_NAME":"M14593","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$HNF1_C (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"NFKB_C","SYSTEMATIC_NAME":"M12240","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$NFKB_C (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"NFY_C","SYSTEMATIC_NAME":"M5954","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$NFY_C (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"CAGNWMCNNNGAC_UNKNOWN","SYSTEMATIC_NAME":"M8059","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M143 CAGNWMCNNNGAC in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"OCT_C","SYSTEMATIC_NAME":"M4238","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$OCT_C (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"SEF1_C","SYSTEMATIC_NAME":"M6173","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$SEF1_C (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"SRF_C","SYSTEMATIC_NAME":"M12443","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$SRF_C (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"TATA_C","SYSTEMATIC_NAME":"M14357","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$TATA_C (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"USF_C","SYSTEMATIC_NAME":"M11610","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$USF_C (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"SREBP1_01","SYSTEMATIC_NAME":"M826","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$SREBP1_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"SREBP1_02","SYSTEMATIC_NAME":"M11849","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$SREBP1_02 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"HAND1E47_01","SYSTEMATIC_NAME":"M15061","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$HAND1E47_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"STAT_01","SYSTEMATIC_NAME":"M5","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$STAT_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"STAT1_01","SYSTEMATIC_NAME":"M17627","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$STAT1_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"CAGNYGKNAAA_UNKNOWN","SYSTEMATIC_NAME":"M6441","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M160 CAGNYGKNAAA in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"STAT3_01","SYSTEMATIC_NAME":"M11595","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$STAT3_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"MEF2_02","SYSTEMATIC_NAME":"M11407","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$MEF2_02 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"MEF2_03","SYSTEMATIC_NAME":"M17361","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$MEF2_03 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"MEF2_04","SYSTEMATIC_NAME":"M19969","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$MEF2_04 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"AHRARNT_01","SYSTEMATIC_NAME":"M10057","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$AHRARNT_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"ARNT_01","SYSTEMATIC_NAME":"M18461","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$ARNT_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"AHRARNT_02","SYSTEMATIC_NAME":"M6637","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$AHRARNT_02 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"NKX25_01","SYSTEMATIC_NAME":"M14389","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$NKX25_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"NKX25_02","SYSTEMATIC_NAME":"M10704","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$NKX25_02 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"PPARA_01","SYSTEMATIC_NAME":"M14641","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$PPARA_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"CATRRAGC_UNKNOWN","SYSTEMATIC_NAME":"M1230","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M134 CATRRAGC in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"EGR1_01","SYSTEMATIC_NAME":"M1532","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$EGR1_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"NGFIC_01","SYSTEMATIC_NAME":"M8101","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$NGFIC_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"EGR3_01","SYSTEMATIC_NAME":"M545","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$EGR3_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"EGR2_01","SYSTEMATIC_NAME":"M5667","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$EGR2_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"OCT1_07","SYSTEMATIC_NAME":"M13600","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$OCT1_07 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"CHOP_01","SYSTEMATIC_NAME":"M9852","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$CHOP_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"GFI1_01","SYSTEMATIC_NAME":"M14626","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$GFI1_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"XBP1_01","SYSTEMATIC_NAME":"M18693","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$XBP1_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"TATA_01","SYSTEMATIC_NAME":"M3150","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$TATA_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"NRSF_01","SYSTEMATIC_NAME":"M16822","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$NRSF_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"CCAATNNSNNNGCG_UNKNOWN","SYSTEMATIC_NAME":"M3938","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M104 CCAATNNSNNNGCG in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"RREB1_01","SYSTEMATIC_NAME":"M2610","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$RREB1_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"ISRE_01","SYSTEMATIC_NAME":"M16200","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$ISRE_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"HLF_01","SYSTEMATIC_NAME":"M7355","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$HLF_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"OLF1_01","SYSTEMATIC_NAME":"M4873","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$OLF1_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"AML1_01","SYSTEMATIC_NAME":"M15241","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$AML1_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"P53_02","SYSTEMATIC_NAME":"M19017","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$P53_02 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"LMO2COM_01","SYSTEMATIC_NAME":"M7236","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$LMO2COM_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"LMO2COM_02","SYSTEMATIC_NAME":"M9264","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$LMO2COM_02 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"MIF1_01","SYSTEMATIC_NAME":"M7179","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$MIF1_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"RFX1_01","SYSTEMATIC_NAME":"M17588","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$RFX1_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"CCANNAGRKGGC_UNKNOWN","SYSTEMATIC_NAME":"M12308","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M45 CCANNAGRKGGC in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"RFX1_02","SYSTEMATIC_NAME":"M15101","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$RFX1_02 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"TCF11MAFG_01","SYSTEMATIC_NAME":"M4121","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$TCF11MAFG_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"TCF11_01","SYSTEMATIC_NAME":"M133","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$TCF11_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"NFY_01","SYSTEMATIC_NAME":"M4225","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$NFY_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"HFH3_01","SYSTEMATIC_NAME":"M13641","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$HFH3_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"FREAC2_01","SYSTEMATIC_NAME":"M1031","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$FREAC2_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"FREAC3_01","SYSTEMATIC_NAME":"M12637","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$FREAC3_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"FREAC4_01","SYSTEMATIC_NAME":"M14649","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$FREAC4_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"FREAC7_01","SYSTEMATIC_NAME":"M15556","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$FREAC7_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"HFH8_01","SYSTEMATIC_NAME":"M13279","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$HFH8_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"CCAWNWWNNNGGC_UNKNOWN","SYSTEMATIC_NAME":"M17978","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M165 CCAWNWWNNNGGC in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"NFAT_Q6","SYSTEMATIC_NAME":"M18699","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$NFAT_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"MYCMAX_B","SYSTEMATIC_NAME":"M5164","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$MYCMAX_B (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"PAX3_B","SYSTEMATIC_NAME":"M2034","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$PAX3_B (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"PAX8_B","SYSTEMATIC_NAME":"M12142","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$PAX8_B (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"WHN_B","SYSTEMATIC_NAME":"M15010","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$WHN_B (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"ZF5_B","SYSTEMATIC_NAME":"M6359","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$ZF5_B (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"ATF_B","SYSTEMATIC_NAME":"M10046","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$ATF_B (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"ETS1_B","SYSTEMATIC_NAME":"M5568","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$ETS1_B (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"ETS2_B","SYSTEMATIC_NAME":"M3956","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$ETS2_B (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"GABP_B","SYSTEMATIC_NAME":"M6985","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$GABP_B (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"CCAWYNNGAAR_UNKNOWN","SYSTEMATIC_NAME":"M10518","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M124 CCAWYNNGAAR in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"OCT1_B","SYSTEMATIC_NAME":"M15558","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$OCT1_B (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"GATA1_05","SYSTEMATIC_NAME":"M2958","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$GATA1_05 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"PAX4_01","SYSTEMATIC_NAME":"M10493","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$PAX4_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"PAX4_02","SYSTEMATIC_NAME":"M8816","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$PAX4_02 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"PAX4_03","SYSTEMATIC_NAME":"M3147","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$PAX4_03 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"PAX4_04","SYSTEMATIC_NAME":"M4215","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$PAX4_04 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"MSX1_01","SYSTEMATIC_NAME":"M9413","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$MSX1_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"HOXA3_01","SYSTEMATIC_NAME":"M6642","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$HOXA3_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"EN1_01","SYSTEMATIC_NAME":"M8413","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$EN1_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"CCCNNNNNNAAGWT_UNKNOWN","SYSTEMATIC_NAME":"M13995","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M158 CCCNNNNNNAAGWT in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"AMEF2_Q6","SYSTEMATIC_NAME":"M3489","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$AMEF2_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"MMEF2_Q6","SYSTEMATIC_NAME":"M19101","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$MMEF2_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"HMEF2_Q6","SYSTEMATIC_NAME":"M9129","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$HMEF2_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"RSRFC4_Q2","SYSTEMATIC_NAME":"M9937","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$RSRFC4_Q2 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"SOX9_B1","SYSTEMATIC_NAME":"M12520","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$SOX9_B1 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"HNF4_01_B","SYSTEMATIC_NAME":"M5866","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$HNF4_01_B (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"AREB6_01","SYSTEMATIC_NAME":"M11244","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$AREB6_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"AREB6_02","SYSTEMATIC_NAME":"M6885","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$AREB6_02 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"AREB6_03","SYSTEMATIC_NAME":"M10921","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$AREB6_03 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"AREB6_04","SYSTEMATIC_NAME":"M8549","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$AREB6_04 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"CCGNMNNTNACG_UNKNOWN","SYSTEMATIC_NAME":"M18233","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M106 CCGNMNNTNACG in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"CART1_01","SYSTEMATIC_NAME":"M15595","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$CART1_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"TGIF_01","SYSTEMATIC_NAME":"M13313","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$TGIF_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"MEIS1_01","SYSTEMATIC_NAME":"M7689","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$MEIS1_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"MEIS1AHOXA9_01","SYSTEMATIC_NAME":"M5279","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$MEIS1AHOXA9_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"MEIS1BHOXA9_01","SYSTEMATIC_NAME":"M8376","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$MEIS1BHOXA9_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"FOXJ2_01","SYSTEMATIC_NAME":"M13325","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$FOXJ2_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"FOXJ2_02","SYSTEMATIC_NAME":"M15440","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$FOXJ2_02 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"NKX61_01","SYSTEMATIC_NAME":"M11968","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$NKX61_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"CCTNTMAGA_UNKNOWN","SYSTEMATIC_NAME":"M2651","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M167 CCTNTMAGA in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"TITF1_Q3","SYSTEMATIC_NAME":"M4580","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$TITF1_Q3 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"IPF1_Q4","SYSTEMATIC_NAME":"M6490","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$IPF1_Q4 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"CHX10_01","SYSTEMATIC_NAME":"M11587","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$CHX10_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"VDR_Q3","SYSTEMATIC_NAME":"M14782","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$VDR_Q3 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"SPZ1_01","SYSTEMATIC_NAME":"M17319","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$SPZ1_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"CGGAARNGGCNG_UNKNOWN","SYSTEMATIC_NAME":"M10936","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M81 CGGAARNGGCNG in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"AR_Q2","SYSTEMATIC_NAME":"M16805","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$AR_Q2 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"ZIC1_01","SYSTEMATIC_NAME":"M13482","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$ZIC1_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"ZIC2_01","SYSTEMATIC_NAME":"M7797","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$ZIC2_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"ZIC3_01","SYSTEMATIC_NAME":"M7622","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$ZIC3_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"NKX3A_01","SYSTEMATIC_NAME":"M16345","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$NKX3A_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"IRF7_01","SYSTEMATIC_NAME":"M12258","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$IRF7_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"FAC1_01","SYSTEMATIC_NAME":"M8826","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$FAC1_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"STAT5A_01","SYSTEMATIC_NAME":"M17883","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$STAT5A_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"STAT5B_01","SYSTEMATIC_NAME":"M6144","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$STAT5B_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"STAT5A_02","SYSTEMATIC_NAME":"M18386","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$STAT5A_02 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"CRGAARNNNNCGA_UNKNOWN","SYSTEMATIC_NAME":"M2688","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M100 CRGAARNNNNCGA in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"GATA6_01","SYSTEMATIC_NAME":"M13052","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$GATA6_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"POU3F2_01","SYSTEMATIC_NAME":"M3720","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$POU3F2_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"POU3F2_02","SYSTEMATIC_NAME":"M14960","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$POU3F2_02 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"POU6F1_01","SYSTEMATIC_NAME":"M6135","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$POU6F1_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"HIF1_Q5","SYSTEMATIC_NAME":"M5320","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$HIF1_Q5 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"AP2REP_01","SYSTEMATIC_NAME":"M4134","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$AP2REP_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"AP2ALPHA_01","SYSTEMATIC_NAME":"M18732","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$AP2ALPHA_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"AP2GAMMA_01","SYSTEMATIC_NAME":"M16396","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$AP2GAMMA_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"TBP_01","SYSTEMATIC_NAME":"M6994","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$TBP_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"CTCNANGTGNY_UNKNOWN","SYSTEMATIC_NAME":"M6054","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M171 CTCNANGTGNY in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"FOXO4_01","SYSTEMATIC_NAME":"M11461","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$FOXO4_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"FOXO1_01","SYSTEMATIC_NAME":"M11512","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$FOXO1_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"FOXO1_02","SYSTEMATIC_NAME":"M4774","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$FOXO1_02 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"FOXO4_02","SYSTEMATIC_NAME":"M16417","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$FOXO4_02 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"FOXO3_01","SYSTEMATIC_NAME":"M19851","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$FOXO3_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"CDC5_01","SYSTEMATIC_NAME":"M19327","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$CDC5_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"AR_01","SYSTEMATIC_NAME":"M16670","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$AR_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"PITX2_Q2","SYSTEMATIC_NAME":"M16280","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$PITX2_Q2 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"ATF6_01","SYSTEMATIC_NAME":"M5987","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$ATF6_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"NCX_01","SYSTEMATIC_NAME":"M9896","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$NCX_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"CTGCAGY_UNKNOWN","SYSTEMATIC_NAME":"M9769","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M101 CTGCAGY in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"NKX22_01","SYSTEMATIC_NAME":"M14350","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$NKX22_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"PAX2_02","SYSTEMATIC_NAME":"M17779","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$PAX2_02 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"NKX62_Q2","SYSTEMATIC_NAME":"M12379","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$NKX62_Q2 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"BACH2_01","SYSTEMATIC_NAME":"M13237","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$BACH2_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"MAZR_01","SYSTEMATIC_NAME":"M4453","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$MAZR_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"STAT1_02","SYSTEMATIC_NAME":"M17769","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$STAT1_02 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"STAT5A_03","SYSTEMATIC_NAME":"M8720","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$STAT5A_03 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"STAT6_01","SYSTEMATIC_NAME":"M2490","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$STAT6_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"BACH1_01","SYSTEMATIC_NAME":"M6969","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$BACH1_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"STAT1_03","SYSTEMATIC_NAME":"M2146","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$STAT1_03 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"CTGRYYYNATT_UNKNOWN","SYSTEMATIC_NAME":"M3285","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M153 CTGRYYYNATT in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"STAT3_02","SYSTEMATIC_NAME":"M3263","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$STAT3_02 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"STAT4_01","SYSTEMATIC_NAME":"M3339","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$STAT4_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"STAT5A_04","SYSTEMATIC_NAME":"M4372","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$STAT5A_04 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"STAT6_02","SYSTEMATIC_NAME":"M7994","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$STAT6_02 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"LHX3_01","SYSTEMATIC_NAME":"M11495","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$LHX3_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"ERR1_Q2","SYSTEMATIC_NAME":"M2489","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$ERR1_Q2 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"PPARG_01","SYSTEMATIC_NAME":"M17278","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$PPARG_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"ATF3_Q6","SYSTEMATIC_NAME":"M13967","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$ATF3_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"ATF4_Q2","SYSTEMATIC_NAME":"M14402","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$ATF4_Q2 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"CTGYNNCTYTAA_UNKNOWN","SYSTEMATIC_NAME":"M15647","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M82 CTGYNNCTYTAA in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"AP1_01","SYSTEMATIC_NAME":"M10220","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$AP1_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"PPARA_02","SYSTEMATIC_NAME":"M3739","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$PPARA_02 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"GNCF_01","SYSTEMATIC_NAME":"M3011","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$GNCF_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"NERF_Q2","SYSTEMATIC_NAME":"M1607","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$NERF_Q2 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"RP58_01","SYSTEMATIC_NAME":"M2120","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$RP58_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"HTF_01","SYSTEMATIC_NAME":"M14002","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$HTF_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"ARNT_02","SYSTEMATIC_NAME":"M9795","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$ARNT_02 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"MYCMAX_03","SYSTEMATIC_NAME":"M17944","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$MYCMAX_03 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"AFP1_Q6","SYSTEMATIC_NAME":"M14351","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$AFP1_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"ALX4_01","SYSTEMATIC_NAME":"M2518","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$ALX4_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"CTTTAAR_UNKNOWN","SYSTEMATIC_NAME":"M3684","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M29 CTTTAAR in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"CEBPDELTA_Q6","SYSTEMATIC_NAME":"M8474","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$CEBPDELTA_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"CEBPGAMMA_Q6","SYSTEMATIC_NAME":"M3741","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$CEBPGAMMA_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"CRX_Q4","SYSTEMATIC_NAME":"M7023","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$CRX_Q4 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"DBP_Q6","SYSTEMATIC_NAME":"M15349","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$DBP_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"EFC_Q6","SYSTEMATIC_NAME":"M1181","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$EFC_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"FOXM1_01","SYSTEMATIC_NAME":"M4468","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$FOXM1_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"FXR_Q3","SYSTEMATIC_NAME":"M9731","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$FXR_Q3 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"GATA4_Q3","SYSTEMATIC_NAME":"M15522","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$GATA4_Q3 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"GCM_Q2","SYSTEMATIC_NAME":"M955","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$GCM_Q2 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"HNF4ALPHA_Q6","SYSTEMATIC_NAME":"M18844","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$HNF4ALPHA_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"CYTAGCAAY_UNKNOWN","SYSTEMATIC_NAME":"M13977","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M34 CYTAGCAAY in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"HNF6_Q6","SYSTEMATIC_NAME":"M8172","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$HNF6_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"HOXA4_Q2","SYSTEMATIC_NAME":"M16178","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$HOXA4_Q2 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"HSF_Q6","SYSTEMATIC_NAME":"M7806","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$HSF_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"LBP1_Q6","SYSTEMATIC_NAME":"M2998","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$LBP1_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"LFA1_Q6","SYSTEMATIC_NAME":"M10767","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$LFA1_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"LXR_Q3","SYSTEMATIC_NAME":"M14687","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$LXR_Q3 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"MAF_Q6","SYSTEMATIC_NAME":"M14583","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$MAF_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"MAZ_Q6","SYSTEMATIC_NAME":"M11022","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$MAZ_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"MTF1_Q4","SYSTEMATIC_NAME":"M2463","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$MTF1_Q4 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"NFMUE1_Q6","SYSTEMATIC_NAME":"M3265","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$NFMUE1_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"GAANYNYGACNY_UNKNOWN","SYSTEMATIC_NAME":"M10627","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M137 GAANYNYGACNY in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"NRF1_Q6","SYSTEMATIC_NAME":"M2907","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$NRF1_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"PEA3_Q6","SYSTEMATIC_NAME":"M9287","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$PEA3_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"PTF1BETA_Q6","SYSTEMATIC_NAME":"M15389","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$PTF1BETA_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"PU1_Q6","SYSTEMATIC_NAME":"M14376","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$PU1_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"SP3_Q3","SYSTEMATIC_NAME":"M10836","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$SP3_Q3 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"TCF1P_Q6","SYSTEMATIC_NAME":"M4088","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$TCF1P_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"TCF4_Q5","SYSTEMATIC_NAME":"M1224","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$TCF4_Q5 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"TEF_Q6","SYSTEMATIC_NAME":"M19671","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$TEF_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"TEL2_Q6","SYSTEMATIC_NAME":"M5155","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$TEL2_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"ALPHACP1_01","SYSTEMATIC_NAME":"M8797","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$ALPHACP1_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"GATGKMRGCG_UNKNOWN","SYSTEMATIC_NAME":"M16653","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M148 GATGKMRGCG in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"AP3_Q6","SYSTEMATIC_NAME":"M498","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$AP3_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"ATF1_Q6","SYSTEMATIC_NAME":"M12826","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$ATF1_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"E12_Q6","SYSTEMATIC_NAME":"M15183","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$E12_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"E4F1_Q6","SYSTEMATIC_NAME":"M13493","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$E4F1_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"ETF_Q6","SYSTEMATIC_NAME":"M17024","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$ETF_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"HEB_Q6","SYSTEMATIC_NAME":"M18576","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$HEB_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"ICSBP_Q6","SYSTEMATIC_NAME":"M2727","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$ICSBP_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"SMAD3_Q6","SYSTEMATIC_NAME":"M6325","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$SMAD3_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"TEF1_Q6","SYSTEMATIC_NAME":"M551","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$TEF1_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"TFIII_Q6","SYSTEMATIC_NAME":"M7338","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$TFIII_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"GCCNNNWTAAR_UNKNOWN","SYSTEMATIC_NAME":"M1779","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M95 GCCNNNWTAAR in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"TFIIA_Q6","SYSTEMATIC_NAME":"M8585","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$TFIIA_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"MYOGENIN_Q6","SYSTEMATIC_NAME":"M10411","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$MYOGENIN_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"ZF5_01","SYSTEMATIC_NAME":"M1793","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$ZF5_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"PAX8_01","SYSTEMATIC_NAME":"M3139","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$PAX8_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"CACBINDINGPROTEIN_Q6","SYSTEMATIC_NAME":"M2209","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$CACBINDINGPROTEIN_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"CACCCBINDINGFACTOR_Q6","SYSTEMATIC_NAME":"M6446","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$CACCCBINDINGFACTOR_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"COREBINDINGFACTOR_Q6","SYSTEMATIC_NAME":"M4770","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$COREBINDINGFACTOR_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"HNF3ALPHA_Q6","SYSTEMATIC_NAME":"M10428","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$HNF3ALPHA_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"HP1SITEFACTOR_Q6","SYSTEMATIC_NAME":"M13584","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$HP1SITEFACTOR_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"USF2_Q6","SYSTEMATIC_NAME":"M17508","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$USF2_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"GCGNNANTTCC_UNKNOWN","SYSTEMATIC_NAME":"M401","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M48 GCGNNANTTCC in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"SF1_Q6","SYSTEMATIC_NAME":"M8812","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$SF1_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"CDX2_Q5","SYSTEMATIC_NAME":"M8062","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$CDX2_Q5 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"OSF2_Q6","SYSTEMATIC_NAME":"M17644","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$OSF2_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"SMAD4_Q6","SYSTEMATIC_NAME":"M18670","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$SMAD4_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"CIZ_01","SYSTEMATIC_NAME":"M3799","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$CIZ_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"GCGSCMNTTT_UNKNOWN","SYSTEMATIC_NAME":"M17426","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M164 GCGSCMNTTT in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"HFH4_01","SYSTEMATIC_NAME":"M1341","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$HFH4_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"POU1F1_Q6","SYSTEMATIC_NAME":"M3902","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$POU1F1_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"LEF1_Q6","SYSTEMATIC_NAME":"M14944","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$LEF1_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"ELF1_Q6","SYSTEMATIC_NAME":"M9902","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$ELF1_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"IRF1_Q6","SYSTEMATIC_NAME":"M13173","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$IRF1_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"SREBP1_Q6","SYSTEMATIC_NAME":"M19265","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$SREBP1_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"HMGIY_Q6","SYSTEMATIC_NAME":"M19147","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$HMGIY_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"AML1_Q6","SYSTEMATIC_NAME":"M6002","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$AML1_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"P53_DECAMER_Q2","SYSTEMATIC_NAME":"M16079","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$P53_DECAMER_Q2 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"DR1_Q3","SYSTEMATIC_NAME":"M4644","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$DR1_Q3 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"GCTNWTTGK_UNKNOWN","SYSTEMATIC_NAME":"M8942","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M78 GCTNWTTGK in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"PPAR_DR1_Q2","SYSTEMATIC_NAME":"M13889","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$PPAR_DR1_Q2 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"HNF4_DR1_Q3","SYSTEMATIC_NAME":"M13332","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$HNF4_DR1_Q3 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"COUP_DR1_Q6","SYSTEMATIC_NAME":"M18594","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$COUP_DR1_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"LXR_DR4_Q3","SYSTEMATIC_NAME":"M5331","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$LXR_DR4_Q3 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"FXR_IR1_Q6","SYSTEMATIC_NAME":"M1013","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$FXR_IR1_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"AML_Q6","SYSTEMATIC_NAME":"M12818","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$AML_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"CEBP_Q3","SYSTEMATIC_NAME":"M3109","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$CEBP_Q3 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"ETS_Q4","SYSTEMATIC_NAME":"M18230","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$ETS_Q4 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"IRF_Q6","SYSTEMATIC_NAME":"M14066","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$IRF_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"MYB_Q3","SYSTEMATIC_NAME":"M14466","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$MYB_Q3 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"GGAANCGGAANY_UNKNOWN","SYSTEMATIC_NAME":"M12891","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M21 GGAANCGGAANY in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"NFKB_Q6_01","SYSTEMATIC_NAME":"M2549","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$NFKB_Q6_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"NFY_Q6_01","SYSTEMATIC_NAME":"M2409","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$NFY_Q6_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"SREBP_Q3","SYSTEMATIC_NAME":"M2814","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$SREBP_Q3 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"STAT_Q6","SYSTEMATIC_NAME":"M3437","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$STAT_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"AHR_Q5","SYSTEMATIC_NAME":"M17378","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$AHR_Q5 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"GATA_Q6","SYSTEMATIC_NAME":"M16459","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$GATA_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"HNF1_Q6","SYSTEMATIC_NAME":"M11442","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$HNF1_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"HNF3_Q6","SYSTEMATIC_NAME":"M17512","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$HNF3_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"SMAD_Q6","SYSTEMATIC_NAME":"M1903","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$SMAD_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"YY1_Q6","SYSTEMATIC_NAME":"M11698","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$YY1_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"GGAMTNNNNNTCCY_UNKNOWN","SYSTEMATIC_NAME":"M11597","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M74 GGAMTNNNNNTCCY in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"TTF1_Q6","SYSTEMATIC_NAME":"M6331","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$TTF1_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"OCT_Q6","SYSTEMATIC_NAME":"M2211","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$OCT_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"USF_Q6_01","SYSTEMATIC_NAME":"M8895","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$USF_Q6_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"HIF1_Q3","SYSTEMATIC_NAME":"M14011","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$HIF1_Q3 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"MYC_Q2","SYSTEMATIC_NAME":"M17805","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$MYC_Q2 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"AP2_Q3","SYSTEMATIC_NAME":"M11469","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$AP2_Q3 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"CREB_Q3","SYSTEMATIC_NAME":"M14786","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$CREB_Q3 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"PIT1_Q6","SYSTEMATIC_NAME":"M15591","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$PIT1_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"E2F_Q2","SYSTEMATIC_NAME":"M4155","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$E2F_Q2 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"E2A_Q2","SYSTEMATIC_NAME":"M17596","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$E2A_Q2 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"GGARNTKYCCA_UNKNOWN","SYSTEMATIC_NAME":"M13187","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M163 GGARNTKYCCA in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"LEF1_Q2","SYSTEMATIC_NAME":"M3572","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$LEF1_Q2 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"NF1_Q6_01","SYSTEMATIC_NAME":"M12915","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$NF1_Q6_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"EGR_Q6","SYSTEMATIC_NAME":"M2459","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$EGR_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"PAX_Q6","SYSTEMATIC_NAME":"M9426","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$PAX_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"FOX_Q2","SYSTEMATIC_NAME":"M1643","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$FOX_Q2 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"SRF_Q4","SYSTEMATIC_NAME":"M5479","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$SRF_Q4 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"NRF2_Q4","SYSTEMATIC_NAME":"M14141","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$NRF2_Q4 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"CEBP_Q2_01","SYSTEMATIC_NAME":"M6830","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$CEBP_Q2_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"MYB_Q5_01","SYSTEMATIC_NAME":"M16722","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$MYB_Q5_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"ER_Q6_01","SYSTEMATIC_NAME":"M19434","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$ER_Q6_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"GGCKCATGS_UNKNOWN","SYSTEMATIC_NAME":"M13780","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M159 GGCKCATGS in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"AP2_Q6_01","SYSTEMATIC_NAME":"M16207","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$AP2_Q6_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"CREB_Q2_01","SYSTEMATIC_NAME":"M13982","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$CREB_Q2_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"CREB_Q4_01","SYSTEMATIC_NAME":"M3410","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$CREB_Q4_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"GR_Q6_01","SYSTEMATIC_NAME":"M3647","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$GR_Q6_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"SRF_Q5_01","SYSTEMATIC_NAME":"M11934","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$SRF_Q5_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"AP1_Q2_01","SYSTEMATIC_NAME":"M7477","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$AP1_Q2_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"AP1_Q6_01","SYSTEMATIC_NAME":"M2054","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$AP1_Q6_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"GGCNKCCATNK_UNKNOWN","SYSTEMATIC_NAME":"M11715","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M88 GGCNKCCATNK in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"AP1_Q4_01","SYSTEMATIC_NAME":"M12460","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$AP1_Q4_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"AP4_Q6_01","SYSTEMATIC_NAME":"M2685","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$AP4_Q6_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"MYOD_Q6_01","SYSTEMATIC_NAME":"M4998","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$MYOD_Q6_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"OCT1_Q5_01","SYSTEMATIC_NAME":"M9638","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$OCT1_Q5_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"SP1_Q6_01","SYSTEMATIC_NAME":"M9557","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$SP1_Q6_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"SP1_Q4_01","SYSTEMATIC_NAME":"M9300","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$SP1_Q4_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"SP1_Q2_01","SYSTEMATIC_NAME":"M11791","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$SP1_Q2_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"NFAT_Q4_01","SYSTEMATIC_NAME":"M8280","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$NFAT_Q4_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"GGCNNMSMYNTTG_UNKNOWN","SYSTEMATIC_NAME":"M15570","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M123 GGCNNMSMYNTTG in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"MEF2_Q6_01","SYSTEMATIC_NAME":"M15929","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$MEF2_Q6_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"CP2_02","SYSTEMATIC_NAME":"M560","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$CP2_02 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"AR_02","SYSTEMATIC_NAME":"M3586","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$AR_02 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"PR_01","SYSTEMATIC_NAME":"M19455","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$PR_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"GR_01","SYSTEMATIC_NAME":"M8603","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$GR_01 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"AR_03","SYSTEMATIC_NAME":"M2274","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$AR_03 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"PR_02","SYSTEMATIC_NAME":"M6097","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$PR_02 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"ER_Q6_02","SYSTEMATIC_NAME":"M17968","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$ER_Q6_02 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"PR_Q2","SYSTEMATIC_NAME":"M19331","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$PR_Q2 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"GGCNRNWCTTYS_UNKNOWN","SYSTEMATIC_NAME":"M4631","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M118 GGCNRNWCTTYS in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"VDR_Q6","SYSTEMATIC_NAME":"M217","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$VDR_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"AR_Q6","SYSTEMATIC_NAME":"M19962","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$AR_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"T3R_Q6","SYSTEMATIC_NAME":"M4061","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$T3R_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"PXR_Q2","SYSTEMATIC_NAME":"M4153","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$PXR_Q2 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"DR4_Q2","SYSTEMATIC_NAME":"M4321","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$DR4_Q2 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"DR3_Q4","SYSTEMATIC_NAME":"M1631","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$DR3_Q4 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"HNF4_Q6","SYSTEMATIC_NAME":"M8634","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the transcription factor binding site V$HNF4_Q6 (v7.4 TRANSFAC) in the regions spanning up to 4 kb around their transcription starting sites."}
{"STANDARD_NAME":"GGGNRMNNYCAT_UNKNOWN","SYSTEMATIC_NAME":"M1064","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M119 GGGNRMNNYCAT in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"GGGYGTGNY_UNKNOWN","SYSTEMATIC_NAME":"M9645","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M31 GGGYGTGNY in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"GKCGCNNNNNNNTGAYG_UNKNOWN","SYSTEMATIC_NAME":"M2826","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M19 GKCGCNNNNNNNTGAYG in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"GTCNYYATGR_UNKNOWN","SYSTEMATIC_NAME":"M8013","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M98 GTCNYYATGR in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"GTGGGTGK_UNKNOWN","SYSTEMATIC_NAME":"M6628","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M91 GTGGGTGK in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"GTTGNYNNRGNAAC_UNKNOWN","SYSTEMATIC_NAME":"M7220","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M43 GTTGNYNNRGNAAC in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"GTTNYYNNGGTNA_UNKNOWN","SYSTEMATIC_NAME":"M7386","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M89 GTTNYYNNGGTNA in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"GTTRYCATRR_UNKNOWN","SYSTEMATIC_NAME":"M8756","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M37 GTTRYCATRR in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"KCCGNSWTTT_UNKNOWN","SYSTEMATIC_NAME":"M1946","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M157 KCCGNSWTTT in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"KMCATNNWGGA_UNKNOWN","SYSTEMATIC_NAME":"M13127","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M116 KMCATNNWGGA in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"KRCTCNNNNMANAGC_UNKNOWN","SYSTEMATIC_NAME":"M9024","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M120 KRCTCNNNNMANAGC in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"MCAATNNNNNGCG_UNKNOWN","SYSTEMATIC_NAME":"M12550","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M110 MCAATNNNNNGCG in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"MYAATNNNNNNNGGC_UNKNOWN","SYSTEMATIC_NAME":"M10166","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M138 MYAATNNNNNNNGGC in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"RAAGNYNNCTTY_UNKNOWN","SYSTEMATIC_NAME":"M1716","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M125 RAAGNYNNCTTY in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"RACTNNRTTTNC_UNKNOWN","SYSTEMATIC_NAME":"M9140","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M66 RACTNNRTTTNC in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"RNCTGNYNRNCTGNY_UNKNOWN","SYSTEMATIC_NAME":"M17692","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M154 RNCTGNYNRNCTGNY in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"RNGTGGGC_UNKNOWN","SYSTEMATIC_NAME":"M10112","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M140 RNGTGGGC in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"RNTCANNRNNYNATTW_UNKNOWN","SYSTEMATIC_NAME":"M7513","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M122 RNTCANNRNNYNATTW in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"RRAGTTGT_UNKNOWN","SYSTEMATIC_NAME":"M10206","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M129 RRAGTTGT in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"RTTTNNNYTGGM_UNKNOWN","SYSTEMATIC_NAME":"M9412","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M107 RTTTNNNYTGGM in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"RYAAAKNNNNNNTTGW_UNKNOWN","SYSTEMATIC_NAME":"M6869","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M151 RYAAAKNNNNNNTTGW in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"RYCACNNRNNRNCAG_UNKNOWN","SYSTEMATIC_NAME":"M5027","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M128 RYCACNNRNNRNCAG in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"RYTAAWNNNTGAY_UNKNOWN","SYSTEMATIC_NAME":"M13510","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M133 RYTAAWNNNTGAY in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"RYTGCNWTGGNR_UNKNOWN","SYSTEMATIC_NAME":"M17216","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M87 RYTGCNWTGGNR in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"SMTTTTGT_UNKNOWN","SYSTEMATIC_NAME":"M399","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M62 SMTTTTGT in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"SNACANNNYSYAGA_UNKNOWN","SYSTEMATIC_NAME":"M2268","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M80 SNACANNNYSYAGA in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"SYATTGTG_UNKNOWN","SYSTEMATIC_NAME":"M3888","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M71 SYATTGTG in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"TAANNYSGCG_UNKNOWN","SYSTEMATIC_NAME":"M1656","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M162 TAANNYSGCG in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"TAAYNRNNTCC_UNKNOWN","SYSTEMATIC_NAME":"M6093","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M136 TAAYNRNNTCC in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"TCCATTKW_UNKNOWN","SYSTEMATIC_NAME":"M7173","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M132 TCCATTKW in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"TCCCRNNRTGC_UNKNOWN","SYSTEMATIC_NAME":"M1728","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M39 TCCCRNNRTGC in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"TGACATY_UNKNOWN","SYSTEMATIC_NAME":"M13849","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M42 TGACATY in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"TGCGCANK_UNKNOWN","SYSTEMATIC_NAME":"M10498","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M22 TGCGCANK in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"TGCTGAY_UNKNOWN","SYSTEMATIC_NAME":"M13012","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M92 TGCTGAY in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"TGGNNNNNNKCCAR_UNKNOWN","SYSTEMATIC_NAME":"M1460","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M27 TGGNNNNNNKCCAR in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"TGTYNNNNNRGCARM_UNKNOWN","SYSTEMATIC_NAME":"M16032","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M117 TGTYNNNNNRGCARM in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"TMTCGCGANR_UNKNOWN","SYSTEMATIC_NAME":"M9573","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M8 TMTCGCGANR in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"TNCATNTCCYR_UNKNOWN","SYSTEMATIC_NAME":"M5721","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M75 TNCATNTCCYR in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"TTANTCA_UNKNOWN","SYSTEMATIC_NAME":"M3980","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M64 TTANTCA in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"TTANWNANTGGM_UNKNOWN","SYSTEMATIC_NAME":"M9684","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M161 TTANWNANTGGM in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"TTCYRGAA_UNKNOWN","SYSTEMATIC_NAME":"M402","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M72 TTCYRGAA in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"TTTNNANAGCYR_UNKNOWN","SYSTEMATIC_NAME":"M15966","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M169 TTTNNANAGCYR in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"WCAANNNYCAG_UNKNOWN","SYSTEMATIC_NAME":"M8368","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M152 WCAANNNYCAG in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"WCTCNATGGY_UNKNOWN","SYSTEMATIC_NAME":"M12984","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M59 WCTCNATGGY in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"WGTTNNNNNAAA_UNKNOWN","SYSTEMATIC_NAME":"M17712","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M155 WGTTNNNNNAAA in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"WTGAAAT_UNKNOWN","SYSTEMATIC_NAME":"M1328","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M174 WTGAAAT in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"WTTGKCTG_UNKNOWN","SYSTEMATIC_NAME":"M4815","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M46 WTTGKCTG in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"WWTAAGGC_UNKNOWN","SYSTEMATIC_NAME":"M10416","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M127 WWTAAGGC in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"WYAAANNRNNNGCG_UNKNOWN","SYSTEMATIC_NAME":"M7349","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M126 WYAAANNRNNNGCG in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"YAATNANRNNNCAG_UNKNOWN","SYSTEMATIC_NAME":"M8935","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M147 YAATNANRNNNCAG in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"YAATNRNNNYNATT_UNKNOWN","SYSTEMATIC_NAME":"M10288","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M90 YAATNRNNNYNATT in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"YATTNATC_UNKNOWN","SYSTEMATIC_NAME":"M435","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M97 YATTNATC in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"YCATTAA_UNKNOWN","SYSTEMATIC_NAME":"M6052","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M58 YCATTAA in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"YGACNNYACAR_UNKNOWN","SYSTEMATIC_NAME":"M12349","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M149 YGACNNYACAR in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"YGCANTGCR_UNKNOWN","SYSTEMATIC_NAME":"M19578","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M96 YGCANTGCR in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"YGCGYRCGC_UNKNOWN","SYSTEMATIC_NAME":"M17342","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M30 YGCGYRCGC in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"YGTCCTTGR_UNKNOWN","SYSTEMATIC_NAME":"M849","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M109 YGTCCTTGR in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"YKACATTT_UNKNOWN","SYSTEMATIC_NAME":"M1830","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M145 YKACATTT in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"YNGTTNNNATT_UNKNOWN","SYSTEMATIC_NAME":"M16291","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M170 YNGTTNNNATT in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"YNTTTNNNANGCARM_UNKNOWN","SYSTEMATIC_NAME":"M18600","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M166 YNTTTNNNANGCARM in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"YRCCAKNNGNCGC_UNKNOWN","SYSTEMATIC_NAME":"M19571","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M156 YRCCAKNNGNCGC in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"YRTCANNRCGC_UNKNOWN","SYSTEMATIC_NAME":"M14861","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M115 YRTCANNRCGC in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"YTAAYNGCT_UNKNOWN","SYSTEMATIC_NAME":"M1856","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M168 YTAAYNGCT in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"YTCCCRNNAGGY_UNKNOWN","SYSTEMATIC_NAME":"M2330","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M114 YTCCCRNNAGGY in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"YTTCCNNNGGAMR_UNKNOWN","SYSTEMATIC_NAME":"M5789","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M150 YTTCCNNNGGAMR in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"YWATTWNNRGCT_UNKNOWN","SYSTEMATIC_NAME":"M4384","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M173 YWATTWNNRGCT in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"YYCATTCAWW_UNKNOWN","SYSTEMATIC_NAME":"M15719","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M52 YYCATTCAWW in the region spanning up to 4 kb around their transcription start sites. The motif does not match any known transcription factor binding site (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"RACCACAR_AML_Q6","SYSTEMATIC_NAME":"M11390","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M111 RACCACAR sites. The motif matches transcription factor binding site V$AML_Q6 (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"TGANTCA_AP1_C","SYSTEMATIC_NAME":"M13826","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M7 TGANTCA sites. The motif matches transcription factor binding site V$AP1_C (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"CAGCTG_AP4_Q5","SYSTEMATIC_NAME":"M11668","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M15 CAGCTG sites. The motif matches transcription factor binding site V$AP4_Q5 (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"CAGGTA_AREB6_01","SYSTEMATIC_NAME":"M9772","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M76 CAGGTA sites. The motif matches transcription factor binding site V$AREB6_01 (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"TGACGTCA_ATF3_Q6","SYSTEMATIC_NAME":"M17997","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M14 TGACGTCA sites. The motif matches transcription factor binding site V$ATF3_Q6 (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"TGAYRTCA_ATF3_Q6","SYSTEMATIC_NAME":"M9955","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M9 TGAYRTCA sites. The motif matches transcription factor binding site V$ATF3_Q6 (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"TTGCWCAAY_CEBPB_02","SYSTEMATIC_NAME":"M11820","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M172 TTGCWCAAY sites. The motif matches transcription factor binding site V$CEBPB_02 (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"TAATTA_CHX10_01","SYSTEMATIC_NAME":"M17214","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M23 TAATTA sites. The motif matches transcription factor binding site V$CHX10_01 (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"TTAYRTAA_E4BP4_01","SYSTEMATIC_NAME":"M6422","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M26 TTAYRTAA sites. The motif matches transcription factor binding site V$E4BP4_01 (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"GTGACGY_E4F1_Q6","SYSTEMATIC_NAME":"M3403","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M20 GTGACGY sites. The motif matches transcription factor binding site V$E4F1_Q6 (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"SCGGAAGY_ELK1_02","SYSTEMATIC_NAME":"M17817","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M3 SCGGAAGY sites. The motif matches transcription factor binding site V$ELK1_02 (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"TGACCTY_ERR1_Q2","SYSTEMATIC_NAME":"M11396","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M25 TGACCTY sites. The motif matches transcription factor binding site V$ERR1_Q2 (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"RYTTCCTG_ETS2_B","SYSTEMATIC_NAME":"M14654","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M16 RYTTCCTG sites. The motif matches transcription factor binding site V$ETS2_B (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"RTAAACA_FREAC2_01","SYSTEMATIC_NAME":"M3746","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M36 RTAAACA sites. The motif matches transcription factor binding site V$FREAC2_01 (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"MGGAAGTG_GABP_B","SYSTEMATIC_NAME":"M17925","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M11 MGGAAGTG sites. The motif matches transcription factor binding site V$GABP_B (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"GATAAGR_GATA_C","SYSTEMATIC_NAME":"M7093","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M131 GATAAGR sites. The motif matches transcription factor binding site V$GATA_C (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"TGATTTRY_GFI1_01","SYSTEMATIC_NAME":"M19368","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M94 TGATTTRY sites. The motif matches transcription factor binding site V$GFI1_01 (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"AAAYWAACM_HFH4_01","SYSTEMATIC_NAME":"M6517","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M139 AAAYWAACM sites. The motif matches transcription factor binding site V$HFH4_01 (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"RGTTAMWNATT_HNF1_01","SYSTEMATIC_NAME":"M12675","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M84 RGTTAMWNATT sites. The motif matches transcription factor binding site V$HNF1_01 (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"TGTTTGY_HNF3_Q6","SYSTEMATIC_NAME":"M4764","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M83 TGTTTGY sites. The motif matches transcription factor binding site V$HNF3_Q6 (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"TTCNRGNNNNTTC_HSF_Q6","SYSTEMATIC_NAME":"M16482","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M141 TTCNRGNNNNTTC sites. The motif matches transcription factor binding site V$HSF_Q6 (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"RGAANNTTC_HSF1_01","SYSTEMATIC_NAME":"M8746","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M68 RGAANNTTC sites. The motif matches transcription factor binding site V$HSF1_01 (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"STTTCRNTTT_IRF_Q6","SYSTEMATIC_NAME":"M533","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M85 STTTCRNTTT sites. The motif matches transcription factor binding site V$IRF_Q6 (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"CTTTGA_LEF1_Q2","SYSTEMATIC_NAME":"M482","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M73 CTTTGA sites. The motif matches transcription factor binding site V$LEF1_Q2 (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"YTAATTAA_LHX3_01","SYSTEMATIC_NAME":"M829","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M61 YTAATTAA sites. The motif matches transcription factor binding site V$LHX3_01 (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"YTATTTTNR_MEF2_02","SYSTEMATIC_NAME":"M822","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M33 YTATTTTNR sites. The motif matches transcription factor binding site V$MEF2_02 (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"TGACAGNY_MEIS1_01","SYSTEMATIC_NAME":"M3643","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M41 TGACAGNY sites. The motif matches transcription factor binding site V$MEIS1_01 (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"RYTGCNNRGNAAC_MIF1_01","SYSTEMATIC_NAME":"M9581","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M53 RYTGCNNRGNAAC sites. The motif matches transcription factor binding site V$MIF1_01 (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"CACGTG_MYC_Q2","SYSTEMATIC_NAME":"M8402","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M2 CACGTG sites. The motif matches transcription factor binding site V$MYC_Q2 (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"GCANCTGNY_MYOD_Q6","SYSTEMATIC_NAME":"M10806","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M35 GCANCTGNY sites. The motif matches transcription factor binding site V$MYOD_Q6 (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"TGCCAAR_NF1_Q6","SYSTEMATIC_NAME":"M572","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M47 TGCCAAR sites. The motif matches transcription factor binding site V$NF1_Q6 (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"TGGAAA_NFAT_Q4_01","SYSTEMATIC_NAME":"M16911","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M55 TGGAAA sites. The motif matches transcription factor binding site V$NFAT_Q4_01 (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"TGASTMAGC_NFE2_01","SYSTEMATIC_NAME":"M8004","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M32 TGASTMAGC sites. The motif matches transcription factor binding site V$NFE2_01 (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"GGGNNTTTCC_NFKB_Q6_01","SYSTEMATIC_NAME":"M1365","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M86 GGGNNTTTCC sites. The motif matches transcription factor binding site V$NFKB_Q6_01 (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"GATTGGY_NFY_Q6_01","SYSTEMATIC_NAME":"M9947","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M5 GATTGGY sites. The motif matches transcription factor binding site V$NFY_Q6_01 (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"RCGCANGCGY_NRF1_Q6","SYSTEMATIC_NAME":"M9394","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M1 RCGCANGCGY sites. The motif matches transcription factor binding site V$NRF1_Q6 (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"YATGNWAAT_OCT_C","SYSTEMATIC_NAME":"M18169","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M44 YATGNWAAT sites. The motif matches transcription factor binding site V$OCT_C (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"CCCNNGGGAR_OLF1_01","SYSTEMATIC_NAME":"M15675","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M130 CCCNNGGGAR sites. The motif matches transcription factor binding site V$OLF1_01 (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"CGTSACG_PAX3_B","SYSTEMATIC_NAME":"M17318","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M70 CGTSACG sites. The motif matches transcription factor binding site V$PAX3_B (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"GGGTGGRR_PAX4_03","SYSTEMATIC_NAME":"M1159","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M56 GGGTGGRR sites. The motif matches transcription factor binding site V$PAX4_03 (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"GGATTA_PITX2_Q2","SYSTEMATIC_NAME":"M946","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M93 GGATTA sites. The motif matches transcription factor binding site V$PITX2_Q2 (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"RGAGGAARY_PU1_Q6","SYSTEMATIC_NAME":"M15616","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M50 RGAGGAARY sites. The motif matches transcription factor binding site V$PU1_Q6 (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"CTAWWWATA_RSRFC4_Q2","SYSTEMATIC_NAME":"M16022","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M28 CTAWWWATA sites. The motif matches transcription factor binding site V$RSRFC4_Q2 (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"TAAWWATAG_RSRFC4_Q2","SYSTEMATIC_NAME":"M6568","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M54 TAAWWATAG sites. The motif matches transcription factor binding site V$RSRFC4_Q2 (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"TGACCTTG_SF1_Q6","SYSTEMATIC_NAME":"M1630","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M38 TGACCTTG sites. The motif matches transcription factor binding site V$SF1_Q6 (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"CATTGTYY_SOX9_B1","SYSTEMATIC_NAME":"M7691","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M49 CATTGTYY sites. The motif matches transcription factor binding site V$SOX9_B1 (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"TCANNTGAY_SREBP1_01","SYSTEMATIC_NAME":"M18894","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M18 TCANNTGAY sites. The motif matches transcription factor binding site V$SREBP1_01 (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"CCAWWNAAGG_SRF_Q4","SYSTEMATIC_NAME":"M3827","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M121 CCAWWNAAGG sites. The motif matches transcription factor binding site V$SRF_Q4 (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"TTCYNRGAA_STAT5B_01","SYSTEMATIC_NAME":"M6378","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M40 TTCYNRGAA sites. The motif matches transcription factor binding site V$STAT5B_01 (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"TATAAA_TATA_01","SYSTEMATIC_NAME":"M7521","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M51 TATAAA sites. The motif matches transcription factor binding site V$TATA_01 (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"TGANNYRGCA_TCF11MAFG_01","SYSTEMATIC_NAME":"M613","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M67 TGANNYRGCA sites. The motif matches transcription factor binding site V$TCF11MAFG_01 (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"WGGAATGY_TEF1_Q6","SYSTEMATIC_NAME":"M17420","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M79 WGGAATGY sites. The motif matches transcription factor binding site V$TEF1_Q6 (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"GCCATNTTG_YY1_Q6","SYSTEMATIC_NAME":"M171","ORGANISM":"Homo sapiens","PMID":"15735639","AUTHORS":"Xie X,Lu J,Kulbokas EJ,Golub TR,Mootha V,Lindblad-Toh K,Lander ES,Kellis M","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C3","SUB_CATEGORY_CODE":"TFT:TFT_Legacy","CONTRIBUTOR":"Xiaohui Xie","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes having at least one occurence of the highly conserved motif M10 GCCATNTTG sites. The motif matches transcription factor binding site V$YY1_Q6 (v7.4 TRANSFAC).","DESCRIPTION_FULL":"Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available."}
{"STANDARD_NAME":"MORF_ATRX","SYSTEMATIC_NAME":"M10988","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of ATRX","DESCRIPTION_FULL":"Neighborhood of ATRX alpha thalassemia/mental retardation syndrome X-linked (RAD54 homolog, S. cerevisiae) in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_BCL2","SYSTEMATIC_NAME":"M19723","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of BCL2","DESCRIPTION_FULL":"Neighborhood of BCL2 B-cell CLL/lymphoma 2 in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_BNIP1","SYSTEMATIC_NAME":"M2795","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of BNIP1","DESCRIPTION_FULL":"Neighborhood of BNIP1 BCL2/adenovirus E1B 19kDa interacting protein 1 in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_BCL2L11","SYSTEMATIC_NAME":"M15901","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of BCL2L11","DESCRIPTION_FULL":"Neighborhood of BCL2L11 BCL2-like 11 (apoptosis facilitator) in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_BRCA1","SYSTEMATIC_NAME":"M1094","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of BRCA1","DESCRIPTION_FULL":"Neighborhood of BRCA1 breast cancer 1, early onset in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_CCNF","SYSTEMATIC_NAME":"M18220","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of CCNF","DESCRIPTION_FULL":"Neighborhood of CCNF cyclin F in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_ERCC2","SYSTEMATIC_NAME":"M404","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of ERCC2","DESCRIPTION_FULL":"Neighborhood of ERCC2 excision repair cross-complementing rodent repair deficiency, complementation group 2 (xeroderma pigmentosum D) in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_FDXR","SYSTEMATIC_NAME":"M6229","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of FDXR","DESCRIPTION_FULL":"Neighborhood of FDXR ferredoxin reductase in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_MDM2","SYSTEMATIC_NAME":"M5734","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of MDM2","DESCRIPTION_FULL":"Neighborhood of MDM2 Mdm2, transformed 3T3 cell double minute 2, p53 binding protein (mouse) in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_MT4","SYSTEMATIC_NAME":"M15921","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of MT4","DESCRIPTION_FULL":"Neighborhood of MT4 metallothionein IV in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_MSH3","SYSTEMATIC_NAME":"M10529","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of MSH3","DESCRIPTION_FULL":"Neighborhood of MSH3 mutS homolog 3 (E. coli) in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_NF1","SYSTEMATIC_NAME":"M6373","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of NF1","DESCRIPTION_FULL":"Neighborhood of NF1 neurofibromin 1 (neurofibromatosis, von Recklinghausen disease, Watson disease) in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_PSMF1","SYSTEMATIC_NAME":"M9093","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of PSMF1","DESCRIPTION_FULL":"Neighborhood of PSMF1 proteasome (prosome, macropain) inhibitor subunit 1 (PI31) in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_RAD51L3","SYSTEMATIC_NAME":"M11755","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of RAD51L3","DESCRIPTION_FULL":"Neighborhood of RAD51L3 RAD51-like 3 (S. cerevisiae) in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_RFC1","SYSTEMATIC_NAME":"M17368","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of RFC1","DESCRIPTION_FULL":"Neighborhood of RFC1 replication factor C (activator 1) 1, 145kDa in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_RFC5","SYSTEMATIC_NAME":"M18618","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of RFC5","DESCRIPTION_FULL":"Neighborhood of RFC5 replication factor C (activator 1) 5, 36.5kDa in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_STK17A","SYSTEMATIC_NAME":"M5671","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of STK17A","DESCRIPTION_FULL":"Neighborhood of STK17A serine/threonine kinase 17a (apoptosis-inducing) in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_TFDP2","SYSTEMATIC_NAME":"M2022","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of TFDP2","DESCRIPTION_FULL":"Neighborhood of TFDP2 transcription factor Dp-2 (E2F dimerization partner 2) in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_MYC","SYSTEMATIC_NAME":"M17328","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of MYC","DESCRIPTION_FULL":"Neighborhood of MYC v-myc myelocytomatosis viral oncogene homolog (avian) in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_ARAF1","SYSTEMATIC_NAME":"M5175","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of ARAF1","DESCRIPTION_FULL":"Neighborhood of ARAF1 NULL in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_ARL3","SYSTEMATIC_NAME":"M4363","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of ARL3","DESCRIPTION_FULL":"Neighborhood of ARL3 ADP-ribosylation factor-like 3 in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_ATF2","SYSTEMATIC_NAME":"M15658","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of ATF2","DESCRIPTION_FULL":"Neighborhood of ATF2 activating transcription factor 2 in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_BMPR2","SYSTEMATIC_NAME":"M14272","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of BMPR2","DESCRIPTION_FULL":"Neighborhood of BMPR2 bone morphogenetic protein receptor, type II (serine/threonine kinase) in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_CAMK4","SYSTEMATIC_NAME":"M2749","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of CAMK4","DESCRIPTION_FULL":"Neighborhood of CAMK4 calcium/calmodulin-dependent protein kinase IV in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_CASP10","SYSTEMATIC_NAME":"M5177","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of CASP10","DESCRIPTION_FULL":"Neighborhood of CASP10 caspase 10, apoptosis-related cysteine peptidase in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_CASP2","SYSTEMATIC_NAME":"M8508","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of CASP2","DESCRIPTION_FULL":"Neighborhood of CASP2 caspase 2, apoptosis-related cysteine peptidase (neural precursor cell expressed, developmentally down-regulated 2) in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_CD8A","SYSTEMATIC_NAME":"M7117","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of CD8A","DESCRIPTION_FULL":"Neighborhood of CD8A CD8a molecule in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_CDC2L5","SYSTEMATIC_NAME":"M18796","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of CDC2L5","DESCRIPTION_FULL":"Neighborhood of CDC2L5 cell division cycle 2-like 5 (cholinesterase-related cell division controller) in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_CDH4","SYSTEMATIC_NAME":"M2671","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of CDH4","DESCRIPTION_FULL":"Neighborhood of CDH4 cadherin 4, type 1, R-cadherin (retinal) in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_CNTN1","SYSTEMATIC_NAME":"M18998","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of CNTN1","DESCRIPTION_FULL":"Neighborhood of CNTN1 contactin 1 in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_CTSB","SYSTEMATIC_NAME":"M12869","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of CTSB","DESCRIPTION_FULL":"Neighborhood of CTSB cathepsin B in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_DCC","SYSTEMATIC_NAME":"M16569","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of DCC","DESCRIPTION_FULL":"Neighborhood of DCC deleted in colorectal carcinoma in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_DDX11","SYSTEMATIC_NAME":"M19243","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of DDX11","DESCRIPTION_FULL":"Neighborhood of DDX11 DEAD/H (Asp-Glu-Ala-Asp/His) box polypeptide 11 (CHL1-like helicase homolog, S. cerevisiae) in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_DMPK","SYSTEMATIC_NAME":"M19725","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of DMPK","DESCRIPTION_FULL":"Neighborhood of DMPK dystrophia myotonica-protein kinase in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_EIF4E","SYSTEMATIC_NAME":"M18743","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of EIF4E","DESCRIPTION_FULL":"Neighborhood of EIF4E eukaryotic translation initiation factor 4E in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_EPHA7","SYSTEMATIC_NAME":"M14153","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of EPHA7","DESCRIPTION_FULL":"Neighborhood of EPHA7 EPH receptor A7 in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_ERCC4","SYSTEMATIC_NAME":"M19749","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of ERCC4","DESCRIPTION_FULL":"Neighborhood of ERCC4 excision repair cross-complementing rodent repair deficiency, complementation group 4 in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_ESR1","SYSTEMATIC_NAME":"M11486","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of ESR1","DESCRIPTION_FULL":"Neighborhood of ESR1 estrogen receptor 1 in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_ETV3","SYSTEMATIC_NAME":"M14346","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of ETV3","DESCRIPTION_FULL":"Neighborhood of ETV3 ets variant gene 3 in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_FANCG","SYSTEMATIC_NAME":"M12979","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of FANCG","DESCRIPTION_FULL":"Neighborhood of FANCG Fanconi anemia, complementation group G in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_FLT1","SYSTEMATIC_NAME":"M10328","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of FLT1","DESCRIPTION_FULL":"Neighborhood of FLT1 fms-related tyrosine kinase 1 (vascular endothelial growth factor/vascular permeability factor receptor) in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_FOSL1","SYSTEMATIC_NAME":"M6407","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of FOSL1","DESCRIPTION_FULL":"Neighborhood of FOSL1 FOS-like antigen 1 in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_FRK","SYSTEMATIC_NAME":"M18116","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of FRK","DESCRIPTION_FULL":"Neighborhood of FRK fyn-related kinase in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_FSHR","SYSTEMATIC_NAME":"M230","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of FSHR","DESCRIPTION_FULL":"Neighborhood of FSHR follicle stimulating hormone receptor in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_HEAB","SYSTEMATIC_NAME":"M18270","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of HEAB","DESCRIPTION_FULL":"Neighborhood of HEAB - in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_IFNA1","SYSTEMATIC_NAME":"M6409","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of IFNA1","DESCRIPTION_FULL":"Neighborhood of IFNA1 interferon, alpha 1 in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_IKBKG","SYSTEMATIC_NAME":"M15203","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of IKBKG","DESCRIPTION_FULL":"Neighborhood of IKBKG inhibitor of kappa light polypeptide gene enhancer in B-cells, kinase gamma in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_IL13","SYSTEMATIC_NAME":"M3810","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of IL13","DESCRIPTION_FULL":"Neighborhood of IL13 interleukin 13 in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_IL16","SYSTEMATIC_NAME":"M19290","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of IL16","DESCRIPTION_FULL":"Neighborhood of IL16 interleukin 16 (lymphocyte chemoattractant factor) in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_IL4","SYSTEMATIC_NAME":"M13205","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of IL4","DESCRIPTION_FULL":"Neighborhood of IL4 interleukin 4 in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_IL9","SYSTEMATIC_NAME":"M16016","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of IL9","DESCRIPTION_FULL":"Neighborhood of IL9 interleukin 9 in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_ITGA2","SYSTEMATIC_NAME":"M10073","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of ITGA2","DESCRIPTION_FULL":"Neighborhood of ITGA2 integrin, alpha 2 (CD49B, alpha 2 subunit of VLA-2 receptor) in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_JAG1","SYSTEMATIC_NAME":"M4711","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of JAG1","DESCRIPTION_FULL":"Neighborhood of JAG1 jagged 1 (Alagille syndrome) in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_JAK3","SYSTEMATIC_NAME":"M7497","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of JAK3","DESCRIPTION_FULL":"Neighborhood of JAK3 Janus kinase 3 (a protein tyrosine kinase, leukocyte) in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_KDR","SYSTEMATIC_NAME":"M17652","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of KDR","DESCRIPTION_FULL":"Neighborhood of KDR kinase insert domain receptor (a type III receptor tyrosine kinase) in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_LCAT","SYSTEMATIC_NAME":"M4019","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of LCAT","DESCRIPTION_FULL":"Neighborhood of LCAT lecithin-cholesterol acyltransferase in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_LMO1","SYSTEMATIC_NAME":"M3617","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of LMO1","DESCRIPTION_FULL":"Neighborhood of LMO1 LIM domain only 1 (rhombotin 1) in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_LTK","SYSTEMATIC_NAME":"M3336","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of LTK","DESCRIPTION_FULL":"Neighborhood of LTK leukocyte tyrosine kinase in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_MAGEA8","SYSTEMATIC_NAME":"M8350","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of MAGEA8","DESCRIPTION_FULL":"Neighborhood of MAGEA8 melanoma antigen family A, 8 in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_MAGEA9","SYSTEMATIC_NAME":"M3103","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of MAGEA9","DESCRIPTION_FULL":"Neighborhood of MAGEA9 melanoma antigen family A, 9 in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_MAP2K7","SYSTEMATIC_NAME":"M18921","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of MAP2K7","DESCRIPTION_FULL":"Neighborhood of MAP2K7 mitogen-activated protein kinase kinase 7 in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_MAP3K14","SYSTEMATIC_NAME":"M4205","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of MAP3K14","DESCRIPTION_FULL":"Neighborhood of MAP3K14 mitogen-activated protein kinase kinase kinase 14 in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_MLLT10","SYSTEMATIC_NAME":"M426","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of MLLT10","DESCRIPTION_FULL":"Neighborhood of MLLT10 myeloid/lymphoid or mixed-lineage leukemia (trithorax homolog, Drosophila); translocated to, 10 in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_MYL3","SYSTEMATIC_NAME":"M1890","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of MYL3","DESCRIPTION_FULL":"Neighborhood of MYL3 myosin, light chain 3, alkali; ventricular, skeletal, slow in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_MYST2","SYSTEMATIC_NAME":"M17492","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of MYST2","DESCRIPTION_FULL":"Neighborhood of MYST2 MYST histone acetyltransferase 2 in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_NOS2A","SYSTEMATIC_NAME":"M8621","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of NOS2A","DESCRIPTION_FULL":"Neighborhood of NOS2A nitric oxide synthase 2A (inducible, hepatocytes) in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_ORC1L","SYSTEMATIC_NAME":"M17184","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of ORC1L","DESCRIPTION_FULL":"Neighborhood of ORC1L origin recognition complex, subunit 1-like (yeast) in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_PAX7","SYSTEMATIC_NAME":"M18287","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of PAX7","DESCRIPTION_FULL":"Neighborhood of PAX7 paired box gene 7 in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_PDCD1","SYSTEMATIC_NAME":"M7867","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of PDCD1","DESCRIPTION_FULL":"Neighborhood of PDCD1 programmed cell death 1 in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_PDPK1","SYSTEMATIC_NAME":"M15051","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of PDPK1","DESCRIPTION_FULL":"Neighborhood of PDPK1 3-phosphoinositide dependent protein kinase-1 in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_PML","SYSTEMATIC_NAME":"M14596","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of PML","DESCRIPTION_FULL":"Neighborhood of PML promyelocytic leukemia in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_PPP2R5B","SYSTEMATIC_NAME":"M16012","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of PPP2R5B","DESCRIPTION_FULL":"Neighborhood of PPP2R5B protein phosphatase 2, regulatory subunit B (B56), beta isoform in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_PPP5C","SYSTEMATIC_NAME":"M1283","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of PPP5C","DESCRIPTION_FULL":"Neighborhood of PPP5C protein phosphatase 5, catalytic subunit in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_PRKACA","SYSTEMATIC_NAME":"M16604","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of PRKACA","DESCRIPTION_FULL":"Neighborhood of PRKACA protein kinase, cAMP-dependent, catalytic, alpha in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_PRKCA","SYSTEMATIC_NAME":"M13322","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of PRKCA","DESCRIPTION_FULL":"Neighborhood of PRKCA protein kinase C, alpha in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_PTEN","SYSTEMATIC_NAME":"M17366","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of PTEN","DESCRIPTION_FULL":"Neighborhood of PTEN phosphatase and tensin homolog (mutated in multiple advanced cancers 1) in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_PTPN9","SYSTEMATIC_NAME":"M3297","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of PTPN9","DESCRIPTION_FULL":"Neighborhood of PTPN9 protein tyrosine phosphatase, non-receptor type 9 in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_PTPRB","SYSTEMATIC_NAME":"M8747","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of PTPRB","DESCRIPTION_FULL":"Neighborhood of PTPRB protein tyrosine phosphatase, receptor type, B in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_PTPRR","SYSTEMATIC_NAME":"M17931","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of PTPRR","DESCRIPTION_FULL":"Neighborhood of PTPRR protein tyrosine phosphatase, receptor type, R in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_RAB3A","SYSTEMATIC_NAME":"M14210","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of RAB3A","DESCRIPTION_FULL":"Neighborhood of RAB3A RAB3A, member RAS oncogene family in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_RAGE","SYSTEMATIC_NAME":"M1006","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of RAGE","DESCRIPTION_FULL":"Neighborhood of RAGE renal tumor antigen in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_RAP1A","SYSTEMATIC_NAME":"M14149","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of RAP1A","DESCRIPTION_FULL":"Neighborhood of RAP1A RAP1A, member of RAS oncogene family in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_RBBP8","SYSTEMATIC_NAME":"M2430","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of RBBP8","DESCRIPTION_FULL":"Neighborhood of RBBP8 retinoblastoma binding protein 8 in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_RBM8A","SYSTEMATIC_NAME":"M18101","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of RBM8A","DESCRIPTION_FULL":"Neighborhood of RBM8A RNA binding motif protein 8A in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_REV3L","SYSTEMATIC_NAME":"M887","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of REV3L","DESCRIPTION_FULL":"Neighborhood of REV3L REV3-like, catalytic subunit of DNA polymerase zeta (yeast) in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_RUNX1","SYSTEMATIC_NAME":"M5518","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of RUNX1","DESCRIPTION_FULL":"Neighborhood of RUNX1 runt-related transcription factor 1 (acute myeloid leukemia 1; aml1 oncogene) in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_SS18","SYSTEMATIC_NAME":"M18185","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of SS18","DESCRIPTION_FULL":"Neighborhood of SS18 synovial sarcoma translocation, chromosome 18 in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_SUPT3H","SYSTEMATIC_NAME":"M7214","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of SUPT3H","DESCRIPTION_FULL":"Neighborhood of SUPT3H suppressor of Ty 3 homolog (S. cerevisiae) in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_THPO","SYSTEMATIC_NAME":"M14178","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of THPO","DESCRIPTION_FULL":"Neighborhood of THPO thrombopoietin (myeloproliferative leukemia virus oncogene ligand, megakaryocyte growth and development factor) in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_THRA","SYSTEMATIC_NAME":"M9866","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of THRA","DESCRIPTION_FULL":"Neighborhood of THRA thyroid hormone receptor, alpha (erythroblastic leukemia viral (v-erb-a) oncogene homolog, avian) in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_TNFRSF25","SYSTEMATIC_NAME":"M18296","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of TNFRSF25","DESCRIPTION_FULL":"Neighborhood of TNFRSF25 tumor necrosis factor receptor superfamily, member 25 in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_TNFRSF6","SYSTEMATIC_NAME":"M3745","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of TNFRSF6","DESCRIPTION_FULL":"Neighborhood of TNFRSF6 NULL in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_TPR","SYSTEMATIC_NAME":"M6400","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of TPR","DESCRIPTION_FULL":"Neighborhood of TPR translocated promoter region (to activated MET oncogene) in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_TTN","SYSTEMATIC_NAME":"M6334","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of TTN","DESCRIPTION_FULL":"Neighborhood of TTN titin in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_WNT1","SYSTEMATIC_NAME":"M15256","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of WNT1","DESCRIPTION_FULL":"Neighborhood of WNT1 wingless-type MMTV integration site family, member 1 in the MORF expression compendium"}
{"STANDARD_NAME":"MORF_ZNF10","SYSTEMATIC_NAME":"M12422","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of ZNF10","DESCRIPTION_FULL":"Neighborhood of ZNF10 zinc finger protein 10 in the MORF expression compendium"}
{"STANDARD_NAME":"GCM_ATM","SYSTEMATIC_NAME":"M14967","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of ATM","DESCRIPTION_FULL":"Neighborhood of ATM ataxia telangiectasia mutated (includes complementation groups A, C and D) in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_BNIP1","SYSTEMATIC_NAME":"M19295","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of BNIP1","DESCRIPTION_FULL":"Neighborhood of BNIP1 BCL2/adenovirus E1B 19kDa interacting protein 1 in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_BAG5","SYSTEMATIC_NAME":"M5900","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of BAG5","DESCRIPTION_FULL":"Neighborhood of BAG5 BCL2-associated athanogene 5 in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_BCL2L1","SYSTEMATIC_NAME":"M11853","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of BCL2L1","DESCRIPTION_FULL":"Neighborhood of BCL2L1 BCL2-like 1 in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_BECN1","SYSTEMATIC_NAME":"M16495","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of BECN1","DESCRIPTION_FULL":"Neighborhood of BECN1 beclin 1 (coiled-coil, myosin-like BCL2 interacting protein) in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_ERBB2IP","SYSTEMATIC_NAME":"M7699","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of ERBB2IP","DESCRIPTION_FULL":"Neighborhood of ERBB2IP erbb2 interacting protein in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_GSTA4","SYSTEMATIC_NAME":"M686","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of GSTA4","DESCRIPTION_FULL":"Neighborhood of GSTA4 glutathione S-transferase A4 in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_SIRT2","SYSTEMATIC_NAME":"M1706","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of SIRT2","DESCRIPTION_FULL":"Neighborhood of SIRT2 sirtuin (silent mating type information regulation 2 homolog) 2 (S. cerevisiae) in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_TINF2","SYSTEMATIC_NAME":"M5829","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of TINF2","DESCRIPTION_FULL":"Neighborhood of TINF2 TERF1 (TRF1)-interacting nuclear factor 2 in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_AIP","SYSTEMATIC_NAME":"M18347","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of AIP","DESCRIPTION_FULL":"Neighborhood of AIP aryl hydrocarbon receptor interacting protein in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_AQP4","SYSTEMATIC_NAME":"M4537","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of AQP4","DESCRIPTION_FULL":"Neighborhood of AQP4 aquaporin 4 in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_BMPR2","SYSTEMATIC_NAME":"M18257","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of BMPR2","DESCRIPTION_FULL":"Neighborhood of BMPR2 bone morphogenetic protein receptor, type II (serine/threonine kinase) in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_CALM1","SYSTEMATIC_NAME":"M15207","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of CALM1","DESCRIPTION_FULL":"Neighborhood of CALM1 calmodulin 1 (phosphorylase kinase, delta) in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_CASP2","SYSTEMATIC_NAME":"M6471","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of CASP2","DESCRIPTION_FULL":"Neighborhood of CASP2 caspase 2, apoptosis-related cysteine peptidase (neural precursor cell expressed, developmentally down-regulated 2) in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_CDH5","SYSTEMATIC_NAME":"M15856","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of CDH5","DESCRIPTION_FULL":"Neighborhood of CDH5 cadherin 5, type 2, VE-cadherin (vascular epithelium) in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_CHUK","SYSTEMATIC_NAME":"M4609","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of CHUK","DESCRIPTION_FULL":"Neighborhood of CHUK conserved helix-loop-helix ubiquitous kinase in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_CRKL","SYSTEMATIC_NAME":"M7608","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of CRKL","DESCRIPTION_FULL":"Neighborhood of CRKL v-crk sarcoma virus CT10 oncogene homolog (avian)-like in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_CSNK1A1","SYSTEMATIC_NAME":"M18653","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of CSNK1A1","DESCRIPTION_FULL":"Neighborhood of CSNK1A1 casein kinase 1, alpha 1 in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_CSNK1D","SYSTEMATIC_NAME":"M723","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of CSNK1D","DESCRIPTION_FULL":"Neighborhood of CSNK1D casein kinase 1, delta in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_DDX11","SYSTEMATIC_NAME":"M13886","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of DDX11","DESCRIPTION_FULL":"Neighborhood of DDX11 DEAD/H (Asp-Glu-Ala-Asp/His) box polypeptide 11 (CHL1-like helicase homolog, S. cerevisiae) in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_DEAF1","SYSTEMATIC_NAME":"M9098","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of DEAF1","DESCRIPTION_FULL":"Neighborhood of DEAF1 deformed epidermal autoregulatory factor 1 (Drosophila) in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_DENR","SYSTEMATIC_NAME":"M2663","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of DENR","DESCRIPTION_FULL":"Neighborhood of DENR density-regulated protein in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_DFFA","SYSTEMATIC_NAME":"M9388","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of DFFA","DESCRIPTION_FULL":"Neighborhood of DFFA DNA fragmentation factor, 45kDa, alpha polypeptide in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_DLG1","SYSTEMATIC_NAME":"M19545","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of DLG1","DESCRIPTION_FULL":"Neighborhood of DLG1 discs, large homolog 1 (Drosophila) in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_DPF2","SYSTEMATIC_NAME":"M1312","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of DPF2","DESCRIPTION_FULL":"Neighborhood of DPF2 D4, zinc and double PHD fingers family 2 in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_ERCC4","SYSTEMATIC_NAME":"M4608","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of ERCC4","DESCRIPTION_FULL":"Neighborhood of ERCC4 excision repair cross-complementing rodent repair deficiency, complementation group 4 in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_FANCC","SYSTEMATIC_NAME":"M2127","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of FANCC","DESCRIPTION_FULL":"Neighborhood of FANCC Fanconi anemia, complementation group C in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_FANCL","SYSTEMATIC_NAME":"M4184","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of FANCL","DESCRIPTION_FULL":"Neighborhood of FANCL Fanconi anemia, complementation group L in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_FCGR2B","SYSTEMATIC_NAME":"M13116","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of FCGR2B","DESCRIPTION_FULL":"Neighborhood of FCGR2B Fc fragment of IgG, low affinity IIb, receptor (CD32) in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_GSPT1","SYSTEMATIC_NAME":"M10555","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of GSPT1","DESCRIPTION_FULL":"Neighborhood of GSPT1 G1 to S phase transition 1 in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_HBP1","SYSTEMATIC_NAME":"M5741","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of HBP1","DESCRIPTION_FULL":"Neighborhood of HBP1 HMG-box transcription factor 1 in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_HMGA2","SYSTEMATIC_NAME":"M2495","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of HMGA2","DESCRIPTION_FULL":"Neighborhood of HMGA2 high mobility group AT-hook 2 in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_IL6ST","SYSTEMATIC_NAME":"M19045","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of IL6ST","DESCRIPTION_FULL":"Neighborhood of IL6ST interleukin 6 signal transducer (gp130, oncostatin M receptor) in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_ING1","SYSTEMATIC_NAME":"M4890","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of ING1","DESCRIPTION_FULL":"Neighborhood of ING1 inhibitor of growth family, member 1 in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_LTK","SYSTEMATIC_NAME":"M1621","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of LTK","DESCRIPTION_FULL":"Neighborhood of LTK leukocyte tyrosine kinase in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_MAP1B","SYSTEMATIC_NAME":"M16631","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of MAP1B","DESCRIPTION_FULL":"Neighborhood of MAP1B microtubule-associated protein 1B in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_MAP4K4","SYSTEMATIC_NAME":"M10191","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of MAP4K4","DESCRIPTION_FULL":"Neighborhood of MAP4K4 mitogen-activated protein kinase kinase kinase kinase 4 in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_MAPK10","SYSTEMATIC_NAME":"M15252","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of MAPK10","DESCRIPTION_FULL":"Neighborhood of MAPK10 mitogen-activated protein kinase 10 in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_MAX","SYSTEMATIC_NAME":"M19116","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of MAX","DESCRIPTION_FULL":"Neighborhood of MAX MYC associated factor X in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_MLL","SYSTEMATIC_NAME":"M2457","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of MLL","DESCRIPTION_FULL":"Neighborhood of MLL myeloid/lymphoid or mixed-lineage leukemia (trithorax homolog, Drosophila) in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_MYCL1","SYSTEMATIC_NAME":"M11890","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of MYCL1","DESCRIPTION_FULL":"Neighborhood of MYCL1 v-myc myelocytomatosis viral oncogene homolog 1, lung carcinoma derived (avian) in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_MYST2","SYSTEMATIC_NAME":"M8150","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of MYST2","DESCRIPTION_FULL":"Neighborhood of MYST2 MYST histone acetyltransferase 2 in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_NCAM1","SYSTEMATIC_NAME":"M3543","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of NCAM1","DESCRIPTION_FULL":"Neighborhood of NCAM1 neural cell adhesion molecule 1 in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_NF2","SYSTEMATIC_NAME":"M15007","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of NF2","DESCRIPTION_FULL":"Neighborhood of NF2 neurofibromin 2 (bilateral acoustic neuroma) in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_NUMA1","SYSTEMATIC_NAME":"M1374","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of NUMA1","DESCRIPTION_FULL":"Neighborhood of NUMA1 nuclear mitotic apparatus protein 1 in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_PPM1D","SYSTEMATIC_NAME":"M11233","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of PPM1D","DESCRIPTION_FULL":"Neighborhood of PPM1D protein phosphatase 1D magnesium-dependent, delta isoform in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_PRKAG1","SYSTEMATIC_NAME":"M6594","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of PRKAG1","DESCRIPTION_FULL":"Neighborhood of PRKAG1 protein kinase, AMP-activated, gamma 1 non-catalytic subunit in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_PRKCG","SYSTEMATIC_NAME":"M12006","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of PRKCG","DESCRIPTION_FULL":"Neighborhood of PRKCG protein kinase C, gamma in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_PTK2","SYSTEMATIC_NAME":"M17046","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of PTK2","DESCRIPTION_FULL":"Neighborhood of PTK2 PTK2 protein tyrosine kinase 2 in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_PTPRD","SYSTEMATIC_NAME":"M10475","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of PTPRD","DESCRIPTION_FULL":"Neighborhood of PTPRD protein tyrosine phosphatase, receptor type, D in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_PTPRU","SYSTEMATIC_NAME":"M931","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of PTPRU","DESCRIPTION_FULL":"Neighborhood of PTPRU protein tyrosine phosphatase, receptor type, U in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_RAB10","SYSTEMATIC_NAME":"M2731","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of RAB10","DESCRIPTION_FULL":"Neighborhood of RAB10 RAB10, member RAS oncogene family in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_RAN","SYSTEMATIC_NAME":"M2150","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of RAN","DESCRIPTION_FULL":"Neighborhood of RAN RAN, member RAS oncogene family in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_RAP2A","SYSTEMATIC_NAME":"M24","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of RAP2A","DESCRIPTION_FULL":"Neighborhood of RAP2A RAP2A, member of RAS oncogene family in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_RBM8A","SYSTEMATIC_NAME":"M16691","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of RBM8A","DESCRIPTION_FULL":"Neighborhood of RBM8A RNA binding motif protein 8A in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_RING1","SYSTEMATIC_NAME":"M12365","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of RING1","DESCRIPTION_FULL":"Neighborhood of RING1 ring finger protein 1 in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_SMARCC1","SYSTEMATIC_NAME":"M6968","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of SMARCC1","DESCRIPTION_FULL":"Neighborhood of SMARCC1 SWI/SNF related, matrix associated, actin dependent regulator of chromatin, subfamily c, member 1 in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_SMARCD1","SYSTEMATIC_NAME":"M3031","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of SMARCD1","DESCRIPTION_FULL":"Neighborhood of SMARCD1 SWI/SNF related, matrix associated, actin dependent regulator of chromatin, subfamily d, member 1 in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_SMO","SYSTEMATIC_NAME":"M5110","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of SMO","DESCRIPTION_FULL":"Neighborhood of SMO smoothened homolog (Drosophila) in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_SUFU","SYSTEMATIC_NAME":"M14067","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of SUFU","DESCRIPTION_FULL":"Neighborhood of SUFU suppressor of fused homolog (Drosophila) in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_SUPT4H1","SYSTEMATIC_NAME":"M3473","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of SUPT4H1","DESCRIPTION_FULL":"Neighborhood of SUPT4H1 suppressor of Ty 4 homolog 1 (S. cerevisiae) in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_TEC","SYSTEMATIC_NAME":"M14585","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of TEC","DESCRIPTION_FULL":"Neighborhood of TEC tec protein tyrosine kinase in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_UBE2N","SYSTEMATIC_NAME":"M5805","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of UBE2N","DESCRIPTION_FULL":"Neighborhood of UBE2N ubiquitin-conjugating enzyme E2N (UBC13 homolog, yeast) in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_USP6","SYSTEMATIC_NAME":"M191","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of USP6","DESCRIPTION_FULL":"Neighborhood of USP6 ubiquitin specific peptidase 6 (Tre-2 oncogene) in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_VAV1","SYSTEMATIC_NAME":"M16249","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of VAV1","DESCRIPTION_FULL":"Neighborhood of VAV1 vav 1 oncogene in the GCM expression compendium"}
{"STANDARD_NAME":"GCM_ZNF198","SYSTEMATIC_NAME":"M1101","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of ZNF198","DESCRIPTION_FULL":"Neighborhood of ZNF198 NULL in the GCM expression compendium"}
{"STANDARD_NAME":"CAR_MLANA","SYSTEMATIC_NAME":"M14144","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of MLANA","DESCRIPTION_FULL":"Neighborhood of MLANA melan-A in the CAR expression compendium"}
{"STANDARD_NAME":"CAR_MYST2","SYSTEMATIC_NAME":"M13370","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of MYST2","DESCRIPTION_FULL":"Neighborhood of MYST2 MYST histone acetyltransferase 2 in the CAR expression compendium"}
{"STANDARD_NAME":"CAR_TNFRSF25","SYSTEMATIC_NAME":"M10340","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of TNFRSF25","DESCRIPTION_FULL":"Neighborhood of TNFRSF25 tumor necrosis factor receptor superfamily, member 25 in the CAR expression compendium"}
{"STANDARD_NAME":"CAR_WBSCR22","SYSTEMATIC_NAME":"M2326","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of WBSCR22","DESCRIPTION_FULL":"Neighborhood of WBSCR22 Williams Beuren syndrome chromosome region 22 in the CAR expression compendium"}
{"STANDARD_NAME":"GNF2_ATM","SYSTEMATIC_NAME":"M8057","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of ATM","DESCRIPTION_FULL":"Neighborhood of ATM ataxia telangiectasia mutated (includes complementation groups A, C and D) in the GNF2 expression compendium"}
{"STANDARD_NAME":"GNF2_BNIP2","SYSTEMATIC_NAME":"M10599","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of BNIP2","DESCRIPTION_FULL":"Neighborhood of BNIP2 BCL2/adenovirus E1B 19kDa interacting protein 2 in the GNF2 expression compendium"}
{"STANDARD_NAME":"GNF2_AF1Q","SYSTEMATIC_NAME":"M3849","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of AF1Q","DESCRIPTION_FULL":"Neighborhood of AF1Q NULL in the GNF2 expression compendium"}
{"STANDARD_NAME":"GNF2_CASP4","SYSTEMATIC_NAME":"M782","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of CASP4","DESCRIPTION_FULL":"Neighborhood of CASP4 caspase 4, apoptosis-related cysteine peptidase in the GNF2 expression compendium"}
{"STANDARD_NAME":"GNF2_CASP8","SYSTEMATIC_NAME":"M1057","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of CASP8","DESCRIPTION_FULL":"Neighborhood of CASP8 caspase 8, apoptosis-related cysteine peptidase in the GNF2 expression compendium"}
{"STANDARD_NAME":"GNF2_CD48","SYSTEMATIC_NAME":"M909","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of CD48","DESCRIPTION_FULL":"Neighborhood of CD48 CD48 molecule in the GNF2 expression compendium"}
{"STANDARD_NAME":"GNF2_CD53","SYSTEMATIC_NAME":"M17909","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of CD53","DESCRIPTION_FULL":"Neighborhood of CD53 CD53 molecule in the GNF2 expression compendium"}
{"STANDARD_NAME":"GNF2_CD7","SYSTEMATIC_NAME":"M245","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of CD7","DESCRIPTION_FULL":"Neighborhood of CD7 CD7 molecule in the GNF2 expression compendium"}
{"STANDARD_NAME":"GNF2_CD97","SYSTEMATIC_NAME":"M14477","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of CD97","DESCRIPTION_FULL":"Neighborhood of CD97 CD97 molecule in the GNF2 expression compendium"}
{"STANDARD_NAME":"GNF2_CDH3","SYSTEMATIC_NAME":"M17677","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of CDH3","DESCRIPTION_FULL":"Neighborhood of CDH3 cadherin 3, type 1, P-cadherin (placental) in the GNF2 expression compendium"}
{"STANDARD_NAME":"GNF2_CDKN1C","SYSTEMATIC_NAME":"M14550","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of CDKN1C","DESCRIPTION_FULL":"Neighborhood of CDKN1C cyclin-dependent kinase inhibitor 1C (p57, Kip2) in the GNF2 expression compendium"}
{"STANDARD_NAME":"GNF2_DNM1","SYSTEMATIC_NAME":"M3373","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of DNM1","DESCRIPTION_FULL":"Neighborhood of DNM1 dynamin 1 in the GNF2 expression compendium"}
{"STANDARD_NAME":"GNF2_EGFR","SYSTEMATIC_NAME":"M4193","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of EGFR","DESCRIPTION_FULL":"Neighborhood of EGFR epidermal growth factor receptor (erythroblastic leukemia viral (v-erb-b) oncogene homolog, avian) in the GNF2 expression compendium"}
{"STANDARD_NAME":"GNF2_HLA_C","SYSTEMATIC_NAME":"M5267","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of HLA-C","DESCRIPTION_FULL":"Neighborhood of HLA-C major histocompatibility complex, class I, C in the GNF2 expression compendium"}
{"STANDARD_NAME":"GNF2_ICAM3","SYSTEMATIC_NAME":"M12772","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of ICAM3","DESCRIPTION_FULL":"Neighborhood of ICAM3 intercellular adhesion molecule 3 in the GNF2 expression compendium"}
{"STANDARD_NAME":"GNF2_IGFBP1","SYSTEMATIC_NAME":"M9592","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of IGFBP1","DESCRIPTION_FULL":"Neighborhood of IGFBP1 insulin-like growth factor binding protein 1 in the GNF2 expression compendium"}
{"STANDARD_NAME":"GNF2_IL2RB","SYSTEMATIC_NAME":"M13733","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of IL2RB","DESCRIPTION_FULL":"Neighborhood of IL2RB interleukin 2 receptor, beta in the GNF2 expression compendium"}
{"STANDARD_NAME":"GNF2_INPP5D","SYSTEMATIC_NAME":"M9268","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of INPP5D","DESCRIPTION_FULL":"Neighborhood of INPP5D inositol polyphosphate-5-phosphatase, 145kDa in the GNF2 expression compendium"}
{"STANDARD_NAME":"GNF2_ITGAL","SYSTEMATIC_NAME":"M5802","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of ITGAL","DESCRIPTION_FULL":"Neighborhood of ITGAL integrin, alpha L (antigen CD11A (p180), lymphocyte function-associated antigen 1; alpha polypeptide) in the GNF2 expression compendium"}
{"STANDARD_NAME":"GNF2_JAK1","SYSTEMATIC_NAME":"M16276","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of JAK1","DESCRIPTION_FULL":"Neighborhood of JAK1 Janus kinase 1 (a protein tyrosine kinase) in the GNF2 expression compendium"}
{"STANDARD_NAME":"GNF2_KISS1","SYSTEMATIC_NAME":"M14039","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of KISS1","DESCRIPTION_FULL":"Neighborhood of KISS1 KiSS-1 metastasis-suppressor in the GNF2 expression compendium"}
{"STANDARD_NAME":"GNF2_LYN","SYSTEMATIC_NAME":"M11485","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of LYN","DESCRIPTION_FULL":"Neighborhood of LYN v-yes-1 Yamaguchi sarcoma viral related oncogene homolog in the GNF2 expression compendium"}
{"STANDARD_NAME":"GNF2_MAPT","SYSTEMATIC_NAME":"M8546","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of MAPT","DESCRIPTION_FULL":"Neighborhood of MAPT microtubule-associated protein tau in the GNF2 expression compendium"}
{"STANDARD_NAME":"GNF2_MATK","SYSTEMATIC_NAME":"M1849","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of MATK","DESCRIPTION_FULL":"Neighborhood of MATK megakaryocyte-associated tyrosine kinase in the GNF2 expression compendium"}
{"STANDARD_NAME":"GNF2_MMP11","SYSTEMATIC_NAME":"M989","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of MMP11","DESCRIPTION_FULL":"Neighborhood of MMP11 matrix metallopeptidase 11 (stromelysin 3) in the GNF2 expression compendium"}
{"STANDARD_NAME":"GNF2_MSN","SYSTEMATIC_NAME":"M10388","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of MSN","DESCRIPTION_FULL":"Neighborhood of MSN moesin in the GNF2 expression compendium"}
{"STANDARD_NAME":"GNF2_MYD88","SYSTEMATIC_NAME":"M13614","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of MYD88","DESCRIPTION_FULL":"Neighborhood of MYD88 myeloid differentiation primary response gene (88) in the GNF2 expression compendium"}
{"STANDARD_NAME":"GNF2_PAK2","SYSTEMATIC_NAME":"M13540","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of PAK2","DESCRIPTION_FULL":"Neighborhood of PAK2 p21 (CDKN1A)-activated kinase 2 in the GNF2 expression compendium"}
{"STANDARD_NAME":"GNF2_PTPN4","SYSTEMATIC_NAME":"M16951","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of PTPN4","DESCRIPTION_FULL":"Neighborhood of PTPN4 protein tyrosine phosphatase, non-receptor type 4 (megakaryocyte) in the GNF2 expression compendium"}
{"STANDARD_NAME":"GNF2_PTPN6","SYSTEMATIC_NAME":"M7957","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of PTPN6","DESCRIPTION_FULL":"Neighborhood of PTPN6 protein tyrosine phosphatase, non-receptor type 6 in the GNF2 expression compendium"}
{"STANDARD_NAME":"GNF2_PTPRC","SYSTEMATIC_NAME":"M15369","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of PTPRC","DESCRIPTION_FULL":"Neighborhood of PTPRC protein tyrosine phosphatase, receptor type, C in the GNF2 expression compendium"}
{"STANDARD_NAME":"GNF2_RAB3A","SYSTEMATIC_NAME":"M15601","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of RAB3A","DESCRIPTION_FULL":"Neighborhood of RAB3A RAB3A, member RAS oncogene family in the GNF2 expression compendium"}
{"STANDARD_NAME":"GNF2_RAB7L1","SYSTEMATIC_NAME":"M7421","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of RAB7L1","DESCRIPTION_FULL":"Neighborhood of RAB7L1 RAB7, member RAS oncogene family-like 1 in the GNF2 expression compendium"}
{"STANDARD_NAME":"GNF2_RAP1B","SYSTEMATIC_NAME":"M9756","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of RAP1B","DESCRIPTION_FULL":"Neighborhood of RAP1B RAP1B, member of RAS oncogene family in the GNF2 expression compendium"}
{"STANDARD_NAME":"GNF2_RTN1","SYSTEMATIC_NAME":"M10137","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of RTN1","DESCRIPTION_FULL":"Neighborhood of RTN1 reticulon 1 in the GNF2 expression compendium"}
{"STANDARD_NAME":"GNF2_SELL","SYSTEMATIC_NAME":"M9200","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of SELL","DESCRIPTION_FULL":"Neighborhood of SELL selectin L (lymphocyte adhesion molecule 1) in the GNF2 expression compendium"}
{"STANDARD_NAME":"GNF2_SERPINB5","SYSTEMATIC_NAME":"M9365","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of SERPINB5","DESCRIPTION_FULL":"Neighborhood of SERPINB5 serpin peptidase inhibitor, clade B (ovalbumin), member 5 in the GNF2 expression compendium"}
{"STANDARD_NAME":"GNF2_SERPINI2","SYSTEMATIC_NAME":"M5062","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of SERPINI2","DESCRIPTION_FULL":"Neighborhood of SERPINI2 serpin peptidase inhibitor, clade I (pancpin), member 2 in the GNF2 expression compendium"}
{"STANDARD_NAME":"GNF2_SNRK","SYSTEMATIC_NAME":"M15392","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of SNRK","DESCRIPTION_FULL":"Neighborhood of SNRK SNF related kinase in the GNF2 expression compendium"}
{"STANDARD_NAME":"GNF2_SPINK1","SYSTEMATIC_NAME":"M8706","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of SPINK1","DESCRIPTION_FULL":"Neighborhood of SPINK1 serine peptidase inhibitor, Kazal type 1 in the GNF2 expression compendium"}
{"STANDARD_NAME":"GNF2_SPRR1B","SYSTEMATIC_NAME":"M2266","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of SPRR1B","DESCRIPTION_FULL":"Neighborhood of SPRR1B small proline-rich protein 1B (cornifin) in the GNF2 expression compendium"}
{"STANDARD_NAME":"GNF2_STAT6","SYSTEMATIC_NAME":"M8633","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of STAT6","DESCRIPTION_FULL":"Neighborhood of STAT6 signal transducer and activator of transcription 6, interleukin-4 induced in the GNF2 expression compendium"}
{"STANDARD_NAME":"GNF2_TIMP2","SYSTEMATIC_NAME":"M18883","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of TIMP2","DESCRIPTION_FULL":"Neighborhood of TIMP2 TIMP metallopeptidase inhibitor 2 in the GNF2 expression compendium"}
{"STANDARD_NAME":"GNF2_TM4SF2","SYSTEMATIC_NAME":"M13367","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of TM4SF2","DESCRIPTION_FULL":"Neighborhood of TM4SF2 NULL in the GNF2 expression compendium"}
{"STANDARD_NAME":"GNF2_TYK2","SYSTEMATIC_NAME":"M3455","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of TYK2","DESCRIPTION_FULL":"Neighborhood of TYK2 tyrosine kinase 2 in the GNF2 expression compendium"}
{"STANDARD_NAME":"GNF2_VAV1","SYSTEMATIC_NAME":"M17314","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of VAV1","DESCRIPTION_FULL":"Neighborhood of VAV1 vav 1 oncogene in the GNF2 expression compendium"}
{"STANDARD_NAME":"GNF2_ZAP70","SYSTEMATIC_NAME":"M1169","ORGANISM":"Homo sapiens","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CGN","CONTRIBUTOR":"Aravind Subramanian","CONTRIBUTOR_ORG":"MSigDB Team","DESCRIPTION_BRIEF":"Neighborhood of ZAP70","DESCRIPTION_FULL":"Neighborhood of ZAP70 zeta-chain (TCR) associated protein kinase 70kDa in the GNF2 expression compendium"}
{"STANDARD_NAME":"MODULE_9","SYSTEMATIC_NAME":"M3451","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_9","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_9","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 9."}
{"STANDARD_NAME":"MODULE_20","SYSTEMATIC_NAME":"M15863","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_20","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_20","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 20."}
{"STANDARD_NAME":"MODULE_21","SYSTEMATIC_NAME":"M1971","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_21","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_21","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 21."}
{"STANDARD_NAME":"MODULE_26","SYSTEMATIC_NAME":"M4874","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_26","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_26","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 26."}
{"STANDARD_NAME":"MODULE_35","SYSTEMATIC_NAME":"M18546","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_35","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_35","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 35."}
{"STANDARD_NAME":"MODULE_36","SYSTEMATIC_NAME":"M3482","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_36","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_36","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 36."}
{"STANDARD_NAME":"MODULE_37","SYSTEMATIC_NAME":"M2507","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_37","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_37","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 37."}
{"STANDARD_NAME":"MODULE_48","SYSTEMATIC_NAME":"M15656","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_48","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_48","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 48."}
{"STANDARD_NAME":"MODULE_49","SYSTEMATIC_NAME":"M19386","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_49","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_49","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 49."}
{"STANDARD_NAME":"MODULE_56","SYSTEMATIC_NAME":"M10672","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_56","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_56","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Cell cycle (KEGG, GenMapp)."}
{"STANDARD_NAME":"MODULE_59","SYSTEMATIC_NAME":"M11886","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_59","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_59","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 59."}
{"STANDARD_NAME":"MODULE_61","SYSTEMATIC_NAME":"M7855","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_61","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_61","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 61."}
{"STANDARD_NAME":"MODULE_65","SYSTEMATIC_NAME":"M11146","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_65","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_65","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 65."}
{"STANDARD_NAME":"MODULE_67","SYSTEMATIC_NAME":"M7663","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_67","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_67","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 67."}
{"STANDARD_NAME":"MODULE_68","SYSTEMATIC_NAME":"M19014","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_68","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_68","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 68."}
{"STANDARD_NAME":"MODULE_69","SYSTEMATIC_NAME":"M17524","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_69","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_69","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 69."}
{"STANDARD_NAME":"MODULE_70","SYSTEMATIC_NAME":"M11806","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_70","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_70","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 70."}
{"STANDARD_NAME":"MODULE_71","SYSTEMATIC_NAME":"M13595","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_71","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_71","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 71."}
{"STANDARD_NAME":"MODULE_89","SYSTEMATIC_NAME":"M9919","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_89","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_89","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 89."}
{"STANDARD_NAME":"MODULE_90","SYSTEMATIC_NAME":"M5869","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_90","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_90","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 90."}
{"STANDARD_NAME":"MODULE_95","SYSTEMATIC_NAME":"M15941","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_95","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_95","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 95."}
{"STANDARD_NAME":"MODULE_97","SYSTEMATIC_NAME":"M10167","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_97","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_97","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 97."}
{"STANDARD_NAME":"MODULE_102","SYSTEMATIC_NAME":"M18840","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_102","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_102","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Nucleotide (purine) biosynthesis."}
{"STANDARD_NAME":"MODULE_105","SYSTEMATIC_NAME":"M6479","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_105","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_105","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 105."}
{"STANDARD_NAME":"MODULE_110","SYSTEMATIC_NAME":"M14643","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_110","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_110","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 110."}
{"STANDARD_NAME":"MODULE_111","SYSTEMATIC_NAME":"M8074","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_111","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_111","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 111."}
{"STANDARD_NAME":"MODULE_113","SYSTEMATIC_NAME":"M14588","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_113","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_113","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 113."}
{"STANDARD_NAME":"MODULE_120","SYSTEMATIC_NAME":"M12285","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_120","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_120","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 120."}
{"STANDARD_NAME":"MODULE_126","SYSTEMATIC_NAME":"M7614","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_126","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_126","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Lymphoma and immune response expression clusters."}
{"STANDARD_NAME":"MODULE_127","SYSTEMATIC_NAME":"M17337","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_127","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_127","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 127."}
{"STANDARD_NAME":"MODULE_133","SYSTEMATIC_NAME":"M6534","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_133","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_133","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 133."}
{"STANDARD_NAME":"MODULE_136","SYSTEMATIC_NAME":"M8360","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_136","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_136","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 136."}
{"STANDARD_NAME":"MODULE_138","SYSTEMATIC_NAME":"M7029","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_138","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_138","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 138."}
{"STANDARD_NAME":"MODULE_141","SYSTEMATIC_NAME":"M17013","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_141","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_141","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 141."}
{"STANDARD_NAME":"MODULE_147","SYSTEMATIC_NAME":"M14443","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_147","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_147","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"GPCR."}
{"STANDARD_NAME":"MODULE_148","SYSTEMATIC_NAME":"M17934","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_148","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_148","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 148."}
{"STANDARD_NAME":"MODULE_153","SYSTEMATIC_NAME":"M18849","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_153","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_153","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 153."}
{"STANDARD_NAME":"MODULE_154","SYSTEMATIC_NAME":"M18170","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_154","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_154","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Intermediate filaments."}
{"STANDARD_NAME":"MODULE_155","SYSTEMATIC_NAME":"M3370","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_155","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_155","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 155."}
{"STANDARD_NAME":"MODULE_156","SYSTEMATIC_NAME":"M6864","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_156","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_156","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 156."}
{"STANDARD_NAME":"MODULE_157","SYSTEMATIC_NAME":"M13779","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_157","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_157","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 157."}
{"STANDARD_NAME":"MODULE_160","SYSTEMATIC_NAME":"M7381","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_160","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_160","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"tRNA synthesis."}
{"STANDARD_NAME":"MODULE_162","SYSTEMATIC_NAME":"M10538","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_162","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_162","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 162."}
{"STANDARD_NAME":"MODULE_163","SYSTEMATIC_NAME":"M2624","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_163","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_163","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 163."}
{"STANDARD_NAME":"MODULE_164","SYSTEMATIC_NAME":"M6257","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_164","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_164","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Enzyme inhibitors (esp serine proteases)."}
{"STANDARD_NAME":"MODULE_166","SYSTEMATIC_NAME":"M1771","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_166","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_166","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 166."}
{"STANDARD_NAME":"MODULE_168","SYSTEMATIC_NAME":"M7225","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_168","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_168","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 168."}
{"STANDARD_NAME":"MODULE_169","SYSTEMATIC_NAME":"M10511","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_169","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_169","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Immune response."}
{"STANDARD_NAME":"MODULE_173","SYSTEMATIC_NAME":"M12150","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_173","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_173","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 173."}
{"STANDARD_NAME":"MODULE_174","SYSTEMATIC_NAME":"M4843","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_174","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_174","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 174."}
{"STANDARD_NAME":"MODULE_175","SYSTEMATIC_NAME":"M15076","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_175","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_175","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 175."}
{"STANDARD_NAME":"MODULE_177","SYSTEMATIC_NAME":"M4337","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_177","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_177","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 177."}
{"STANDARD_NAME":"MODULE_179","SYSTEMATIC_NAME":"M753","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_179","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_179","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Blood cells and cancer expression cancer."}
{"STANDARD_NAME":"MODULE_182","SYSTEMATIC_NAME":"M11300","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_182","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_182","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 182."}
{"STANDARD_NAME":"MODULE_186","SYSTEMATIC_NAME":"M9415","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_186","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_186","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 186."}
{"STANDARD_NAME":"MODULE_189","SYSTEMATIC_NAME":"M4657","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_189","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_189","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 189."}
{"STANDARD_NAME":"MODULE_190","SYSTEMATIC_NAME":"M17118","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_190","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_190","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"IGFBPs."}
{"STANDARD_NAME":"MODULE_191","SYSTEMATIC_NAME":"M17192","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_191","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_191","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 191."}
{"STANDARD_NAME":"MODULE_192","SYSTEMATIC_NAME":"M17252","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_192","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_192","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 192."}
{"STANDARD_NAME":"MODULE_195","SYSTEMATIC_NAME":"M12600","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_195","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_195","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Breast cancer expression clusters."}
{"STANDARD_NAME":"MODULE_203","SYSTEMATIC_NAME":"M15264","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_203","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_203","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 203."}
{"STANDARD_NAME":"MODULE_205","SYSTEMATIC_NAME":"M12453","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_205","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_205","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 205."}
{"STANDARD_NAME":"MODULE_206","SYSTEMATIC_NAME":"M13176","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_206","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_206","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 206."}
{"STANDARD_NAME":"MODULE_207","SYSTEMATIC_NAME":"M1575","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_207","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_207","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 207."}
{"STANDARD_NAME":"MODULE_214","SYSTEMATIC_NAME":"M2627","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_214","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_214","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Ion channels."}
{"STANDARD_NAME":"MODULE_215","SYSTEMATIC_NAME":"M3806","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_215","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_215","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Neurotransmitter (GABA) receptor."}
{"STANDARD_NAME":"MODULE_218","SYSTEMATIC_NAME":"M16754","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_218","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_218","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 218."}
{"STANDARD_NAME":"MODULE_219","SYSTEMATIC_NAME":"M908","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_219","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_219","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 219."}
{"STANDARD_NAME":"MODULE_222","SYSTEMATIC_NAME":"M375","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_222","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_222","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 222."}
{"STANDARD_NAME":"MODULE_229","SYSTEMATIC_NAME":"M11605","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_229","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_229","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 229."}
{"STANDARD_NAME":"MODULE_236","SYSTEMATIC_NAME":"M14916","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_236","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_236","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 236."}
{"STANDARD_NAME":"MODULE_237","SYSTEMATIC_NAME":"M5605","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_237","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_237","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 237."}
{"STANDARD_NAME":"MODULE_239","SYSTEMATIC_NAME":"M12657","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_239","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_239","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 239."}
{"STANDARD_NAME":"MODULE_240","SYSTEMATIC_NAME":"M5578","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_240","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_240","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 240."}
{"STANDARD_NAME":"MODULE_241","SYSTEMATIC_NAME":"M7788","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_241","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_241","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 241."}
{"STANDARD_NAME":"MODULE_243","SYSTEMATIC_NAME":"M9518","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_243","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_243","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 243."}
{"STANDARD_NAME":"MODULE_245","SYSTEMATIC_NAME":"M19205","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_245","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_245","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 245."}
{"STANDARD_NAME":"MODULE_247","SYSTEMATIC_NAME":"M57","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_247","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_247","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Xenobiotic metabolism."}
{"STANDARD_NAME":"MODULE_248","SYSTEMATIC_NAME":"M18786","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_248","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_248","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 248."}
{"STANDARD_NAME":"MODULE_249","SYSTEMATIC_NAME":"M4582","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_249","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_249","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 249."}
{"STANDARD_NAME":"MODULE_255","SYSTEMATIC_NAME":"M10615","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_255","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_255","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 255."}
{"STANDARD_NAME":"MODULE_256","SYSTEMATIC_NAME":"M131","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_256","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_256","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 256."}
{"STANDARD_NAME":"MODULE_257","SYSTEMATIC_NAME":"M6320","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_257","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_257","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 257."}
{"STANDARD_NAME":"MODULE_261","SYSTEMATIC_NAME":"M444","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_261","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_261","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 262."}
{"STANDARD_NAME":"MODULE_262","SYSTEMATIC_NAME":"M4637","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_262","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_262","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Cell ion homeostasis / chemokines."}
{"STANDARD_NAME":"MODULE_267","SYSTEMATIC_NAME":"M17393","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_267","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_267","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 267."}
{"STANDARD_NAME":"MODULE_275","SYSTEMATIC_NAME":"M19458","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_275","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_275","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 275."}
{"STANDARD_NAME":"MODULE_277","SYSTEMATIC_NAME":"M15917","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_277","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_277","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 277."}
{"STANDARD_NAME":"MODULE_279","SYSTEMATIC_NAME":"M7956","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_279","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_279","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 279."}
{"STANDARD_NAME":"MODULE_284","SYSTEMATIC_NAME":"M14481","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_284","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_284","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 284."}
{"STANDARD_NAME":"MODULE_285","SYSTEMATIC_NAME":"M1288","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_285","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_285","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 285."}
{"STANDARD_NAME":"MODULE_287","SYSTEMATIC_NAME":"M15255","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_287","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_287","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 287."}
{"STANDARD_NAME":"MODULE_291","SYSTEMATIC_NAME":"M19922","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_291","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_291","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"B-cell malignancies expression clusters."}
{"STANDARD_NAME":"MODULE_297","SYSTEMATIC_NAME":"M4992","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_297","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_297","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 297."}
{"STANDARD_NAME":"MODULE_298","SYSTEMATIC_NAME":"M13118","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_298","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_298","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Keratin."}
{"STANDARD_NAME":"MODULE_299","SYSTEMATIC_NAME":"M4634","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_299","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_299","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 299."}
{"STANDARD_NAME":"MODULE_311","SYSTEMATIC_NAME":"M3341","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_311","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_311","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 311."}
{"STANDARD_NAME":"MODULE_313","SYSTEMATIC_NAME":"M11826","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_313","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_313","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 313."}
{"STANDARD_NAME":"MODULE_316","SYSTEMATIC_NAME":"M785","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_316","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_316","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Ion channels."}
{"STANDARD_NAME":"MODULE_317","SYSTEMATIC_NAME":"M11172","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_317","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_317","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 317."}
{"STANDARD_NAME":"MODULE_318","SYSTEMATIC_NAME":"M16797","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_318","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_318","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 318."}
{"STANDARD_NAME":"MODULE_322","SYSTEMATIC_NAME":"M280","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_322","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_322","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 322."}
{"STANDARD_NAME":"MODULE_323","SYSTEMATIC_NAME":"M6113","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_323","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_323","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 323."}
{"STANDARD_NAME":"MODULE_326","SYSTEMATIC_NAME":"M18006","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_326","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_326","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 326."}
{"STANDARD_NAME":"MODULE_327","SYSTEMATIC_NAME":"M741","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_327","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_327","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 327."}
{"STANDARD_NAME":"MODULE_328","SYSTEMATIC_NAME":"M10350","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_328","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_328","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"AcetylCholine receptors."}
{"STANDARD_NAME":"MODULE_331","SYSTEMATIC_NAME":"M12162","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_331","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_331","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 331."}
{"STANDARD_NAME":"MODULE_332","SYSTEMATIC_NAME":"M16765","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_332","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_332","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 332."}
{"STANDARD_NAME":"MODULE_333","SYSTEMATIC_NAME":"M15757","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_333","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_333","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 333."}
{"STANDARD_NAME":"MODULE_334","SYSTEMATIC_NAME":"M6879","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_334","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_334","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 334."}
{"STANDARD_NAME":"MODULE_340","SYSTEMATIC_NAME":"M3442","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_340","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_340","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 340."}
{"STANDARD_NAME":"MODULE_341","SYSTEMATIC_NAME":"M5912","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_341","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_341","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 341."}
{"STANDARD_NAME":"MODULE_346","SYSTEMATIC_NAME":"M7110","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_346","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_346","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 346."}
{"STANDARD_NAME":"MODULE_350","SYSTEMATIC_NAME":"M7158","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_350","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_350","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 350."}
{"STANDARD_NAME":"MODULE_352","SYSTEMATIC_NAME":"M11473","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_352","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_352","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Nuclear pore complex."}
{"STANDARD_NAME":"MODULE_355","SYSTEMATIC_NAME":"M4563","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_355","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_355","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Protein folding."}
{"STANDARD_NAME":"MODULE_356","SYSTEMATIC_NAME":"M16406","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_356","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_356","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 356."}
{"STANDARD_NAME":"MODULE_357","SYSTEMATIC_NAME":"M9185","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_357","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_357","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Intermediate filaments and keratins."}
{"STANDARD_NAME":"MODULE_358","SYSTEMATIC_NAME":"M2032","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_358","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_358","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"B lymphoma expression clusters."}
{"STANDARD_NAME":"MODULE_366","SYSTEMATIC_NAME":"M876","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_366","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_366","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Breast cancer expression clusters."}
{"STANDARD_NAME":"MODULE_368","SYSTEMATIC_NAME":"M12507","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_368","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_368","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Peptide and AA transporters."}
{"STANDARD_NAME":"MODULE_377","SYSTEMATIC_NAME":"M443","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_377","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_377","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Energy pathways and carbohydrate metabolism."}
{"STANDARD_NAME":"MODULE_378","SYSTEMATIC_NAME":"M809","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_378","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_378","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 378."}
{"STANDARD_NAME":"MODULE_381","SYSTEMATIC_NAME":"M12229","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_381","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_381","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 381."}
{"STANDARD_NAME":"MODULE_382","SYSTEMATIC_NAME":"M17631","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_382","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_382","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Peptide hormones."}
{"STANDARD_NAME":"MODULE_389","SYSTEMATIC_NAME":"M9103","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_389","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_389","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Breast cancer expression clusters."}
{"STANDARD_NAME":"MODULE_392","SYSTEMATIC_NAME":"M14316","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_392","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_392","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"rRNA processing and DNA repair."}
{"STANDARD_NAME":"MODULE_396","SYSTEMATIC_NAME":"M15002","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_396","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_396","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 396."}
{"STANDARD_NAME":"MODULE_401","SYSTEMATIC_NAME":"M17170","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_401","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_401","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 401."}
{"STANDARD_NAME":"MODULE_402","SYSTEMATIC_NAME":"M5757","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_402","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_402","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 402."}
{"STANDARD_NAME":"MODULE_407","SYSTEMATIC_NAME":"M3595","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_407","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_407","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Growth suppressors."}
{"STANDARD_NAME":"MODULE_408","SYSTEMATIC_NAME":"M14707","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_408","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_408","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 408."}
{"STANDARD_NAME":"MODULE_411","SYSTEMATIC_NAME":"M7639","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_411","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_411","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 411."}
{"STANDARD_NAME":"MODULE_412","SYSTEMATIC_NAME":"M11942","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_412","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_412","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 412."}
{"STANDARD_NAME":"MODULE_415","SYSTEMATIC_NAME":"M6383","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_415","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_415","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 415."}
{"STANDARD_NAME":"MODULE_416","SYSTEMATIC_NAME":"M10181","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_416","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_416","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 416."}
{"STANDARD_NAME":"MODULE_417","SYSTEMATIC_NAME":"M4487","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_417","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_417","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 417."}
{"STANDARD_NAME":"MODULE_418","SYSTEMATIC_NAME":"M10909","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_418","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_418","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 418."}
{"STANDARD_NAME":"MODULE_421","SYSTEMATIC_NAME":"M16942","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_421","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_421","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Chromatin."}
{"STANDARD_NAME":"MODULE_424","SYSTEMATIC_NAME":"M6026","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_424","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_424","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 424."}
{"STANDARD_NAME":"MODULE_426","SYSTEMATIC_NAME":"M2707","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_426","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_426","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 426."}
{"STANDARD_NAME":"MODULE_427","SYSTEMATIC_NAME":"M16806","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_427","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_427","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 427."}
{"STANDARD_NAME":"MODULE_430","SYSTEMATIC_NAME":"M7540","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_430","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_430","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 430."}
{"STANDARD_NAME":"MODULE_431","SYSTEMATIC_NAME":"M5121","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_431","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_431","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Eicosanoid metabolism."}
{"STANDARD_NAME":"MODULE_438","SYSTEMATIC_NAME":"M17509","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_438","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_438","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Intermediate filaments and MT."}
{"STANDARD_NAME":"MODULE_445","SYSTEMATIC_NAME":"M11007","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_445","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_445","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 445."}
{"STANDARD_NAME":"MODULE_448","SYSTEMATIC_NAME":"M467","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_448","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_448","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 448."}
{"STANDARD_NAME":"MODULE_453","SYSTEMATIC_NAME":"M11422","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_453","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_453","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 453."}
{"STANDARD_NAME":"MODULE_455","SYSTEMATIC_NAME":"M16117","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_455","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_455","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 455."}
{"STANDARD_NAME":"MODULE_456","SYSTEMATIC_NAME":"M18856","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_456","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_456","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"B lymphoma expression clusters."}
{"STANDARD_NAME":"MODULE_457","SYSTEMATIC_NAME":"M4320","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_457","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_457","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 457."}
{"STANDARD_NAME":"MODULE_458","SYSTEMATIC_NAME":"M59","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_458","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_458","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 458."}
{"STANDARD_NAME":"MODULE_459","SYSTEMATIC_NAME":"M4403","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_459","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_459","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 459."}
{"STANDARD_NAME":"MODULE_462","SYSTEMATIC_NAME":"M6532","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_462","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_462","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Eicosanoid metabolism (and related carboxylic acid biosynthesis)."}
{"STANDARD_NAME":"MODULE_465","SYSTEMATIC_NAME":"M8711","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_465","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_465","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 465."}
{"STANDARD_NAME":"MODULE_470","SYSTEMATIC_NAME":"M19085","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_470","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_470","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 470."}
{"STANDARD_NAME":"MODULE_471","SYSTEMATIC_NAME":"M15191","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_471","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_471","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 471."}
{"STANDARD_NAME":"MODULE_474","SYSTEMATIC_NAME":"M4172","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_474","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_474","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 474."}
{"STANDARD_NAME":"MODULE_478","SYSTEMATIC_NAME":"M1119","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_478","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_478","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 478."}
{"STANDARD_NAME":"MODULE_480","SYSTEMATIC_NAME":"M13238","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_480","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_480","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Breast cancer expression clusters."}
{"STANDARD_NAME":"MODULE_481","SYSTEMATIC_NAME":"M2653","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_481","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_481","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 481."}
{"STANDARD_NAME":"MODULE_484","SYSTEMATIC_NAME":"M4544","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_484","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_484","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 484."}
{"STANDARD_NAME":"MODULE_486","SYSTEMATIC_NAME":"M3505","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_486","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_486","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 486."}
{"STANDARD_NAME":"MODULE_489","SYSTEMATIC_NAME":"M8555","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_489","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_489","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 489."}
{"STANDARD_NAME":"MODULE_491","SYSTEMATIC_NAME":"M15916","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_491","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_491","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 491."}
{"STANDARD_NAME":"MODULE_492","SYSTEMATIC_NAME":"M1212","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_492","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_492","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 492."}
{"STANDARD_NAME":"MODULE_493","SYSTEMATIC_NAME":"M11162","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_493","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_493","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 493."}
{"STANDARD_NAME":"MODULE_495","SYSTEMATIC_NAME":"M19250","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_495","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_495","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 495."}
{"STANDARD_NAME":"MODULE_500","SYSTEMATIC_NAME":"M7693","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_500","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_500","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 500."}
{"STANDARD_NAME":"MODULE_501","SYSTEMATIC_NAME":"M9805","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_501","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_501","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 501."}
{"STANDARD_NAME":"MODULE_503","SYSTEMATIC_NAME":"M11728","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_503","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_503","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 503."}
{"STANDARD_NAME":"MODULE_511","SYSTEMATIC_NAME":"M11160","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_511","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_511","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 511."}
{"STANDARD_NAME":"MODULE_522","SYSTEMATIC_NAME":"M10866","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_522","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_522","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Immune response genes."}
{"STANDARD_NAME":"MODULE_525","SYSTEMATIC_NAME":"M2320","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_525","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_525","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 525."}
{"STANDARD_NAME":"MODULE_528","SYSTEMATIC_NAME":"M11380","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_528","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_528","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 528."}
{"STANDARD_NAME":"MODULE_532","SYSTEMATIC_NAME":"M3090","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_532","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_532","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Blood cells and cancer expression clusters."}
{"STANDARD_NAME":"MODULE_533","SYSTEMATIC_NAME":"M1901","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_533","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_533","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 533."}
{"STANDARD_NAME":"MODULE_534","SYSTEMATIC_NAME":"M17809","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_534","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_534","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 534."}
{"STANDARD_NAME":"MODULE_540","SYSTEMATIC_NAME":"M15748","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_540","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_540","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Iron ion homeostasis."}
{"STANDARD_NAME":"MODULE_543","SYSTEMATIC_NAME":"M9280","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_543","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_543","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Annexin, MHCII, and lectins."}
{"STANDARD_NAME":"MODULE_544","SYSTEMATIC_NAME":"M14630","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_544","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_544","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 544."}
{"STANDARD_NAME":"MODULE_545","SYSTEMATIC_NAME":"M10747","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_545","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_545","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"IL-1 signaling."}
{"STANDARD_NAME":"MODULE_547","SYSTEMATIC_NAME":"M3349","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_547","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_547","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 547."}
{"STANDARD_NAME":"MODULE_552","SYSTEMATIC_NAME":"M8168","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_552","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_552","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Chromatin and nucleosomes."}
{"STANDARD_NAME":"MODULE_557","SYSTEMATIC_NAME":"M8387","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_557","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_557","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 557."}
{"STANDARD_NAME":"MODULE_560","SYSTEMATIC_NAME":"M4265","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_560","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_560","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 560."}
{"STANDARD_NAME":"MODULE_563","SYSTEMATIC_NAME":"M10977","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_563","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_563","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 563."}
{"STANDARD_NAME":"MODULE_567","SYSTEMATIC_NAME":"M5090","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_567","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_567","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 567."}
{"STANDARD_NAME":"MODULE_568","SYSTEMATIC_NAME":"M1566","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_568","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_568","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 568."}
{"STANDARD_NAME":"MODULE_571","SYSTEMATIC_NAME":"M10542","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_571","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_571","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 571."}
{"STANDARD_NAME":"MODULE_573","SYSTEMATIC_NAME":"M17027","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_573","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_573","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Cell cycle regulators and carbohydrate transporters."}
{"STANDARD_NAME":"MODULE_575","SYSTEMATIC_NAME":"M9202","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_575","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_575","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Complement and cAMP signaling."}
{"STANDARD_NAME":"MODULE_576","SYSTEMATIC_NAME":"M4064","ORGANISM":"Homo sapiens","EXACT_SOURCE":"module_576","EXTERNAL_DETAILS_URL":"http://robotics.stanford.edu/~erans/cancer/modules/module_576","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C4","SUB_CATEGORY_CODE":"CM","CONTRIBUTOR":"Aviv Regev","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes in the cancer module 576."}
{"STANDARD_NAME":"HP_MULTICYSTIC_KIDNEY_DYSPLASIA","SYSTEMATIC_NAME":"M34476","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000003","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000003","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Multicystic kidney dysplasia","DESCRIPTION_FULL":"Multicystic dysplasia of the kidney is characterized by multiple cysts of varying size in the kidney and the absence of a normal pelvicaliceal system. The condition is associated with ureteral or ureteropelvic atresia, and the affected kidney is nonfunctional. [HPO:curators]"}
{"STANDARD_NAME":"HP_RECURRENT_URINARY_TRACT_INFECTIONS","SYSTEMATIC_NAME":"M34477","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000010","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000010","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Recurrent urinary tract infections","DESCRIPTION_FULL":"Repeated infections of the urinary tract. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NEUROGENIC_BLADDER","SYSTEMATIC_NAME":"M34478","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000011","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000011","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neurogenic bladder","DESCRIPTION_FULL":"A type of bladder dysfunction caused by neurologic damage. Neurogenic bladder can be flaccid or spastic. Common manifestatios of neurogenic bladder are overflow incontinence, frequency, urgency, urge incontinence, and retention. [HPO:probinson, PMID:18095004, PMID:22400020]"}
{"STANDARD_NAME":"HP_URINARY_URGENCY","SYSTEMATIC_NAME":"M34479","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000012","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000012","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Urinary urgency","DESCRIPTION_FULL":"Urge incontinence is the strong, sudden need to urinate. [HPO:probinson, PMID:12559262]"}
{"STANDARD_NAME":"HP_HYPOPLASIA_OF_THE_UTERUS","SYSTEMATIC_NAME":"M34480","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000013","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000013","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypoplasia of the uterus","DESCRIPTION_FULL":"Underdevelopment of the uterus. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_BLADDER","SYSTEMATIC_NAME":"M34481","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000014","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000014","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the bladder","DESCRIPTION_FULL":"An abnormality of the urinary bladder. [HPO:probinson]"}
{"STANDARD_NAME":"HP_BLADDER_DIVERTICULUM","SYSTEMATIC_NAME":"M34482","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000015","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000015","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Bladder diverticulum","DESCRIPTION_FULL":"Diverticulum (sac or pouch) in the wall of the urinary bladder. [HPO:probinson]"}
{"STANDARD_NAME":"HP_URINARY_RETENTION","SYSTEMATIC_NAME":"M34483","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000016","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000016","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Urinary retention","DESCRIPTION_FULL":"Inability to completely empty the urinary bladder during the process of urination. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NOCTURIA","SYSTEMATIC_NAME":"M34484","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000017","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000017","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Nocturia","DESCRIPTION_FULL":"Abnormally increased production of urine during the night leading to an unusually frequent need to urinate. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_URINARY_INCONTINENCE","SYSTEMATIC_NAME":"M41211","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000020","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000020","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Urinary incontinence","DESCRIPTION_FULL":"Loss of the ability to control the urinary bladder leading to involuntary urination. [HPO:sdoelken, PMID:12559262]"}
{"STANDARD_NAME":"HP_MEGACYSTIS","SYSTEMATIC_NAME":"M41212","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000021","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000021","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Megacystis","DESCRIPTION_FULL":"Dilatation of the bladder postnatally. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_MALE_INTERNAL_GENITALIA","SYSTEMATIC_NAME":"M34485","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000022","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000022","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of male internal genitalia","DESCRIPTION_FULL":"An abnormality of the male internal genitalia. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INGUINAL_HERNIA","SYSTEMATIC_NAME":"M34486","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000023","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000023","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Inguinal hernia","DESCRIPTION_FULL":"Protrusion of the contents of the abdominal cavity through the inguinal canal. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PROSTATITIS","SYSTEMATIC_NAME":"M34487","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000024","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000024","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Prostatitis","DESCRIPTION_FULL":"The presence of inflammation of the prostate. [HPO:probinson]"}
{"STANDARD_NAME":"HP_FUNCTIONAL_ABNORMALITY_OF_MALE_INTERNAL_GENITALIA","SYSTEMATIC_NAME":"M34488","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000025","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000025","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Functional abnormality of male internal genitalia"}
{"STANDARD_NAME":"HP_MALE_HYPOGONADISM","SYSTEMATIC_NAME":"M34489","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000026","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000026","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Male hypogonadism","DESCRIPTION_FULL":"Decreased functionality of the male gonad, i.e., of the testis, with reduced spermatogenesis or testosterone synthesis. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CRYPTORCHIDISM","SYSTEMATIC_NAME":"M34490","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000028","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000028","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cryptorchidism","DESCRIPTION_FULL":"Testis in inguinal canal. That is, absence of one or both testes from the scrotum owing to failure of the testis or testes to descend through the inguinal canal to the scrotum. [HPO:probinson, PMID:23650202]"}
{"STANDARD_NAME":"HP_TESTICULAR_ATROPHY","SYSTEMATIC_NAME":"M34491","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000029","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000029","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Testicular atrophy","DESCRIPTION_FULL":"Wasting (atrophy) of the testicle (the male gonad) manifested by a decrease in size and potentially by a loss of fertility. [HPO:probinson]"}
{"STANDARD_NAME":"HP_AMBIGUOUS_GENITALIA_MALE","SYSTEMATIC_NAME":"M34492","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000033","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000033","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ambiguous genitalia, male","DESCRIPTION_FULL":"Ambiguous genitalia in an individual with XY genetic gender. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYDROCELE_TESTIS","SYSTEMATIC_NAME":"M34493","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000034","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000034","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hydrocele testis","DESCRIPTION_FULL":"Accumulation of clear fluid in the between the layers of membrane (tunica vaginalis) surrounding the testis. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_TESTIS_MORPHOLOGY","SYSTEMATIC_NAME":"M34494","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000035","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000035","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal testis morphology","DESCRIPTION_FULL":"An anomaly of the testicle (the male gonad). [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_PENIS_MORPHOLOGY","SYSTEMATIC_NAME":"M34495","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000036","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000036","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal penis morphology","DESCRIPTION_FULL":"Abnormality of the male external sex organ. []"}
{"STANDARD_NAME":"HP_MALE_PSEUDOHERMAPHRODITISM","SYSTEMATIC_NAME":"M34496","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000037","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000037","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Male pseudohermaphroditism","DESCRIPTION_FULL":"Hermaphroditism refers to a discrepancy between the morphology of the gonads and that of the external genitalia. In male pseudohermaphroditism, the genotype is male (XY) and the external genitalia are imcompletely virilized, ambiguous, or complete female. If gonads are present, they are testes. [HPO:curators]"}
{"STANDARD_NAME":"HP_EPISPADIAS","SYSTEMATIC_NAME":"M34497","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000039","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000039","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Epispadias","DESCRIPTION_FULL":"Displacement of the urethral opening on the dorsal (superior) surface of the penis. [HPO:probinson, PMID:23650202]"}
{"STANDARD_NAME":"HP_LONG_PENIS","SYSTEMATIC_NAME":"M34498","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000040","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000040","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Long penis","DESCRIPTION_FULL":"Penile length more than 2 SD above the mean for age. []"}
{"STANDARD_NAME":"HP_CHORDEE","SYSTEMATIC_NAME":"M34499","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000041","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000041","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Chordee","DESCRIPTION_FULL":"Ventral, lateral, or ventrolateral bowing of the shaft and glans penis of more than 30 degrees. [HPO:probinson, PMID:23650202]"}
{"STANDARD_NAME":"HP_HYPOGONADOTROPIC_HYPOGONADISM","SYSTEMATIC_NAME":"M34500","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000044","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000044","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypogonadotropic hypogonadism","DESCRIPTION_FULL":"Hypogonadotropic hypogonadism is characterized by reduced function of the gonads (testes in males or ovaries in females) and results from the absence of the gonadal stimulating pituitary hormones: follicle stimulating hormone (FSH) and luteinizing hormone (LH). [HPO:probinson, PMID:23503957]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_SCROTUM","SYSTEMATIC_NAME":"M34501","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000045","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000045","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the scrotum"}
{"STANDARD_NAME":"HP_SCROTAL_HYPOPLASIA","SYSTEMATIC_NAME":"M34502","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000046","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000046","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Scrotal hypoplasia"}
{"STANDARD_NAME":"HP_BIFID_SCROTUM","SYSTEMATIC_NAME":"M34503","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000048","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000048","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Bifid scrotum","DESCRIPTION_FULL":"Midline indentation or cleft of the scrotum. [HPO:probinson, PMID:23650202]"}
{"STANDARD_NAME":"HP_SHAWL_SCROTUM","SYSTEMATIC_NAME":"M34504","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000049","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000049","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Shawl scrotum","DESCRIPTION_FULL":"Superior margin of the scrotum superior to the base of the penis. [HPO:probinson, PMID:23650202]"}
{"STANDARD_NAME":"HP_PERINEAL_HYPOSPADIAS","SYSTEMATIC_NAME":"M34505","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000051","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000051","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Perineal hypospadias","DESCRIPTION_FULL":"Hypospadias with location of the urethral meatus in the perineal region. [HPO:probinson, PMID:8097257]"}
{"STANDARD_NAME":"HP_MACROORCHIDISM","SYSTEMATIC_NAME":"M34506","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000053","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000053","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Macroorchidism","DESCRIPTION_FULL":"The presence of abnormally large testes. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MICROPENIS","SYSTEMATIC_NAME":"M34507","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000054","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000054","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Micropenis","DESCRIPTION_FULL":"Abnormally small penis. At birth, the normal penis is about 3 cm (stretched length from pubic tubercle to tip of penis) with micropenis less than 2.0-2.5 cm. [HPO:probinson, PMID:15102623]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_FEMALE_EXTERNAL_GENITALIA","SYSTEMATIC_NAME":"M34508","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000055","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000055","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of female external genitalia","DESCRIPTION_FULL":"An abnormality of the female external genitalia. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_CLITORIS","SYSTEMATIC_NAME":"M34509","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000056","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000056","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the clitoris","DESCRIPTION_FULL":"An abnormality of the clitoris. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_LABIA_MORPHOLOGY","SYSTEMATIC_NAME":"M34510","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000058","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000058","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal labia morphology","DESCRIPTION_FULL":"An anomaly of the labia, the externally visible portions of the vulva. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPOPLASTIC_LABIA_MAJORA","SYSTEMATIC_NAME":"M41213","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000059","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000059","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypoplastic labia majora","DESCRIPTION_FULL":"Undergrowth of the outer labia. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CLITORAL_HYPOPLASIA","SYSTEMATIC_NAME":"M34511","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000060","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000060","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Clitoral hypoplasia","DESCRIPTION_FULL":"Developmental hypoplasia of the clitoris. [HPO:probinson]"}
{"STANDARD_NAME":"HP_AMBIGUOUS_GENITALIA_FEMALE","SYSTEMATIC_NAME":"M34512","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000061","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000061","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ambiguous genitalia, female","DESCRIPTION_FULL":"Ambiguous genitalia in an individual with XX genetic gender. [HPO:probinson]"}
{"STANDARD_NAME":"HP_AMBIGUOUS_GENITALIA","SYSTEMATIC_NAME":"M34513","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000062","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000062","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ambiguous genitalia","DESCRIPTION_FULL":"A genital phenotype that is not clearly assignable to a single gender. Ambiguous genitalia can be evaluated using the Prader scale: Prader 0: Normal female external genitalia. Prader 1: Female external genitalia with clitoromegaly. Prader 2: Clitoromegaly with partial labial fusion forming a funnel-shaped urogenital sinus. Prader 3: Increased phallic enlargement. Complete labioscrotal fusion forming a urogenital sinus with a single opening. Prader 4: Complete scrotal fusion with urogenital opening at the base or on the shaft of the phallus. Prader 5: Normal male external genitalia. The diagnosis of ambiguous genitalia is made for Prader 1-4. [HPO:probinson, PMID:15102623]"}
{"STANDARD_NAME":"HP_FUSED_LABIA_MINORA","SYSTEMATIC_NAME":"M34514","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000063","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000063","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Fused labia minora","DESCRIPTION_FULL":"Fusion of the labia minora as a result of labial adhesions resulting in vaginal obstruction. [HPO:curators]"}
{"STANDARD_NAME":"HP_HYPOPLASTIC_LABIA_MINORA","SYSTEMATIC_NAME":"M34515","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000064","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000064","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypoplastic labia minora"}
{"STANDARD_NAME":"HP_LABIAL_HYPERTROPHY","SYSTEMATIC_NAME":"M34516","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000065","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000065","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Labial hypertrophy"}
{"STANDARD_NAME":"HP_URETHRAL_ATRESIA","SYSTEMATIC_NAME":"M34517","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000068","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000068","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Urethral atresia","DESCRIPTION_FULL":"Congenital anomaly characterized by closure or failure to develop an opening in the urethra. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_URETER","SYSTEMATIC_NAME":"M34518","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000069","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000069","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the ureter","DESCRIPTION_FULL":"An abnormality of the ureter. The ureter is the duct by which urine passes from the kidney to the bladder. [HPO:probinson]"}
{"STANDARD_NAME":"HP_URETEROCELE","SYSTEMATIC_NAME":"M34519","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000070","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000070","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ureterocele","DESCRIPTION_FULL":"A ureterocele is a congenital saccular dilatation of the distal segment of the ureter. [eMedicine:453993]"}
{"STANDARD_NAME":"HP_URETERAL_STENOSIS","SYSTEMATIC_NAME":"M41214","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000071","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000071","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ureteral stenosis","DESCRIPTION_FULL":"The presence of a stenotic, i.e., constricted ureter. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYDROURETER","SYSTEMATIC_NAME":"M34520","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000072","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000072","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hydroureter","DESCRIPTION_FULL":"The distention of the ureter with urine. [HPO:probinson, PMID:33085364]"}
{"STANDARD_NAME":"HP_URETERAL_DUPLICATION","SYSTEMATIC_NAME":"M34521","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000073","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000073","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ureteral duplication","DESCRIPTION_FULL":"A developmental anomaly characterized by the presence of two, instead of one, ureter connecting a kidney to the bladder. [HPO:curators]"}
{"STANDARD_NAME":"HP_URETEROPELVIC_JUNCTION_OBSTRUCTION","SYSTEMATIC_NAME":"M34522","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000074","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000074","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ureteropelvic junction obstruction","DESCRIPTION_FULL":"Blockage of urine flow from the renal pelvis to the proximal ureter. [Eurenomics:ewuehl]"}
{"STANDARD_NAME":"HP_RENAL_DUPLICATION","SYSTEMATIC_NAME":"M34523","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000075","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000075","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Renal duplication","DESCRIPTION_FULL":"A congenital anomaly of the urinary tract, in which the kidney is duplicated and is drained via two separate renal pelves and ureters. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_REPRODUCTIVE_SYSTEM_PHYSIOLOGY","SYSTEMATIC_NAME":"M34524","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000080","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000080","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of reproductive system physiology","DESCRIPTION_FULL":"An abnormal functionality of the genital system. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DUPLICATED_COLLECTING_SYSTEM","SYSTEMATIC_NAME":"M34525","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000081","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000081","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Duplicated collecting system","DESCRIPTION_FULL":"A duplication of the collecting system of the kidney, defined as a kidney with two (instead of, normally, one) pyelocaliceal systems. The pyelocaliceal system is comprised of the renal pelvis and calices. The duplicated renal collecting system can be associated with a single ureter or with double ureters. In the latter case, the two ureters empty separately into the bladder or fuse to form a single ureteral orifice. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RENAL_INSUFFICIENCY","SYSTEMATIC_NAME":"M34526","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000083","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000083","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Renal insufficiency","DESCRIPTION_FULL":"A reduction in the level of performance of the kidneys in areas of function comprising the concentration of urine, removal of wastes, the maintenance of electrolyte balance, homeostasis of blood pressure, and calcium metabolism. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HORSESHOE_KIDNEY","SYSTEMATIC_NAME":"M34527","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000085","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000085","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Horseshoe kidney","DESCRIPTION_FULL":"A connection of the right and left kidney by an isthmus of functioning renal parenchyma or fibrous tissue that crosses the midline. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ECTOPIC_KIDNEY","SYSTEMATIC_NAME":"M34528","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000086","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000086","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ectopic kidney","DESCRIPTION_FULL":"A developmental defect in which a kidney is located in an abnormal anatomic position. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RENAL_HYPOPLASIA","SYSTEMATIC_NAME":"M34529","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000089","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000089","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Renal hypoplasia","DESCRIPTION_FULL":"Hypoplasia of the kidney. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NEPHRONOPHTHISIS","SYSTEMATIC_NAME":"M34530","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000090","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000090","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Nephronophthisis","DESCRIPTION_FULL":"Presence of cysts at the corticomedullary junction of the kidney in combination with tubulointerstitial fibrosis. [Eurenomics:fschaefer]"}
{"STANDARD_NAME":"HP_ABNORMAL_RENAL_TUBULE_MORPHOLOGY","SYSTEMATIC_NAME":"M34531","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000091","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000091","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal renal tubule morphology","DESCRIPTION_FULL":"An abnormality of the renal tubules. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RENAL_TUBULAR_ATROPHY","SYSTEMATIC_NAME":"M34532","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000092","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000092","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Renal tubular atrophy","DESCRIPTION_FULL":"The presence of renal tubules with thick redundant basement membranes, or a reduction of greater than 50% in tubular diameter compared to surrounding non-atrophic tubules. [HPO:probinson, PMID:27211375]"}
{"STANDARD_NAME":"HP_ABNORMAL_RENAL_GLOMERULUS_MORPHOLOGY","SYSTEMATIC_NAME":"M41215","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000095","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000095","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal renal glomerulus morphology","DESCRIPTION_FULL":"A structural anomaly of the glomerulus. [Eurenomics:ewuehl, PMID:18184729]"}
{"STANDARD_NAME":"HP_GLOMERULAR_SCLEROSIS","SYSTEMATIC_NAME":"M34533","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000096","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000096","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Glomerular sclerosis","DESCRIPTION_FULL":"Accumulation of scar tissue within the glomerulus. [Eurenomics:fschaefer]"}
{"STANDARD_NAME":"HP_FOCAL_SEGMENTAL_GLOMERULOSCLEROSIS","SYSTEMATIC_NAME":"M34534","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000097","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000097","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Focal segmental glomerulosclerosis","DESCRIPTION_FULL":"Segmental accumulation of scar tissue in individual (but not all) glomeruli. [Eurenomics:fschaefer, PMID:16164633]"}
{"STANDARD_NAME":"HP_TALL_STATURE","SYSTEMATIC_NAME":"M34535","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000098","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000098","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Tall stature","DESCRIPTION_FULL":"A height above that which is expected according to age and gender norms. [HPO:probinson]"}
{"STANDARD_NAME":"HP_GLOMERULONEPHRITIS","SYSTEMATIC_NAME":"M34536","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000099","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000099","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Glomerulonephritis","DESCRIPTION_FULL":"Inflammation of the renal glomeruli. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NEPHROTIC_SYNDROME","SYSTEMATIC_NAME":"M34537","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000100","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000100","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Nephrotic syndrome","DESCRIPTION_FULL":"Nephrotic syndrome is a collection of findings resulting from glomerular dysfunction with an increase in glomerular capillary wall permeability associated with pronounced proteinuria. Nephrotic syndrome refers to the constellation of clinical findings that result from severe renal loss of protein, with Proteinuria and hypoalbuminemia, edema, and hyperlipidemia. [HPO:probinson]"}
{"STANDARD_NAME":"HP_POLYURIA","SYSTEMATIC_NAME":"M34538","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000103","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000103","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Polyuria","DESCRIPTION_FULL":"An increased rate of urine production. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RENAL_AGENESIS","SYSTEMATIC_NAME":"M34539","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000104","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000104","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Renal agenesis","DESCRIPTION_FULL":"Agenesis, that is, failure of the kidney to develop during embryogenesis and development. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ENLARGED_KIDNEY","SYSTEMATIC_NAME":"M34540","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000105","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000105","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Enlarged kidney","DESCRIPTION_FULL":"An abnormal increase in the size of the kidney. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RENAL_CYST","SYSTEMATIC_NAME":"M34541","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000107","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000107","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Renal cyst","DESCRIPTION_FULL":"A fluid filled sac in the kidney. [Eurenomics:fschaefer]"}
{"STANDARD_NAME":"HP_RENAL_CORTICOMEDULLARY_CYSTS","SYSTEMATIC_NAME":"M34542","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000108","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000108","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Renal corticomedullary cysts","DESCRIPTION_FULL":"The presence of multiple cysts at the border between the renal cortex and medulla. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RENAL_DYSPLASIA","SYSTEMATIC_NAME":"M34543","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000110","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000110","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Renal dysplasia","DESCRIPTION_FULL":"The presence of developmental dysplasia of the kidney. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NEPHROPATHY","SYSTEMATIC_NAME":"M34544","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000112","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000112","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Nephropathy","DESCRIPTION_FULL":"A nonspecific term referring to disease or damage of the kidneys. [HPO:curators]"}
{"STANDARD_NAME":"HP_POLYCYSTIC_KIDNEY_DYSPLASIA","SYSTEMATIC_NAME":"M34545","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000113","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000113","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Polycystic kidney dysplasia","DESCRIPTION_FULL":"The presence of multiple cysts in both kidneys. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PROXIMAL_TUBULOPATHY","SYSTEMATIC_NAME":"M34546","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000114","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000114","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Proximal tubulopathy","DESCRIPTION_FULL":"Dysfunction of the proximal tubule, which is the portion of the duct system of the nephron of the kidney which leads from Bowman's capsule to the loop of Henle. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RENAL_PHOSPHATE_WASTING","SYSTEMATIC_NAME":"M34547","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000117","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000117","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Renal phosphate wasting","DESCRIPTION_FULL":"High urine phosphate in the presence of hypophosphatemia. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NEPHROCALCINOSIS","SYSTEMATIC_NAME":"M34548","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000121","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000121","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Nephrocalcinosis","DESCRIPTION_FULL":"Nephrocalcinosis is the deposition of calcium salts in renal parenchyma. [HPO:probinson]"}
{"STANDARD_NAME":"HP_UNILATERAL_RENAL_AGENESIS","SYSTEMATIC_NAME":"M34549","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000122","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000122","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Unilateral renal agenesis","DESCRIPTION_FULL":"A unilateral form of agenesis of the kidney. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NEPHRITIS","SYSTEMATIC_NAME":"M34550","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000123","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000123","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Nephritis","DESCRIPTION_FULL":"The presence of inflammation affecting the kidney. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RENAL_TUBULAR_DYSFUNCTION","SYSTEMATIC_NAME":"M34551","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000124","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000124","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Renal tubular dysfunction","DESCRIPTION_FULL":"Abnormal function of the renal tubule. The basic functional unit of the kidney, the nephron, consists of a renal corpuscle attached to a renal tubule, with roughly 0.8 to 1.5 nephrons per adult kidney. The functions of the renal tubule include reabsorption of water, electrolytes, glucose, and amino acids and secretion of substances such as uric acid. []"}
{"STANDARD_NAME":"HP_PELVIC_KIDNEY","SYSTEMATIC_NAME":"M34552","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000125","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000125","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pelvic kidney","DESCRIPTION_FULL":"A developmental defect in which a kidney is located in an abnormal anatomic position within the pelvis. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RENAL_SALT_WASTING","SYSTEMATIC_NAME":"M34553","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000127","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000127","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Renal salt wasting","DESCRIPTION_FULL":"A high concentration of one or more electrolytes in the urine in the presence of low serum concentrations of the electrolyte(s). [Eurenomics:fschaefer]"}
{"STANDARD_NAME":"HP_RENAL_POTASSIUM_WASTING","SYSTEMATIC_NAME":"M34554","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000128","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000128","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Renal potassium wasting","DESCRIPTION_FULL":"High urine potassium in the presence of hypokalemia. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_UTERUS","SYSTEMATIC_NAME":"M34555","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000130","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000130","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the uterus","DESCRIPTION_FULL":"An abnormality of the uterus. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MENORRHAGIA","SYSTEMATIC_NAME":"M34556","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000132","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000132","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Menorrhagia","DESCRIPTION_FULL":"Prolonged and excessive menses at regular intervals in excess of 80 mL or lasting longer than 7 days. [HPO:probinson, PMID:22594864]"}
{"STANDARD_NAME":"HP_GONADAL_DYSGENESIS","SYSTEMATIC_NAME":"M34557","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000133","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000133","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Gonadal dysgenesis"}
{"STANDARD_NAME":"HP_FEMALE_HYPOGONADISM","SYSTEMATIC_NAME":"M34558","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000134","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000134","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Female hypogonadism","DESCRIPTION_FULL":"Decreased functionality of the female gonads, i.e., of the ovary. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPOGONADISM","SYSTEMATIC_NAME":"M34559","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000135","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000135","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypogonadism","DESCRIPTION_FULL":"A decreased functionality of the gonad. [HPO:curators]"}
{"STANDARD_NAME":"HP_BIFID_UTERUS","SYSTEMATIC_NAME":"M34560","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000136","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000136","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Bifid uterus","DESCRIPTION_FULL":"The presence of a bifid uterus. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_OVARY","SYSTEMATIC_NAME":"M34561","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000137","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000137","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the ovary","DESCRIPTION_FULL":"An abnormality of the ovary. [HPO:probinson]"}
{"STANDARD_NAME":"HP_OVARIAN_CYST","SYSTEMATIC_NAME":"M34562","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000138","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000138","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ovarian cyst","DESCRIPTION_FULL":"The presence of one or more cysts of the ovary. [HPO:probinson]"}
{"STANDARD_NAME":"HP_UTERINE_PROLAPSE","SYSTEMATIC_NAME":"M41216","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000139","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000139","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Uterine prolapse","DESCRIPTION_FULL":"The presence of prolapse of the uterus. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_MENSTRUAL_CYCLE","SYSTEMATIC_NAME":"M34563","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000140","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000140","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the menstrual cycle","DESCRIPTION_FULL":"An abnormality of the ovulation cycle. [HPO:probinson, PMID:23281358]"}
{"STANDARD_NAME":"HP_AMENORRHEA","SYSTEMATIC_NAME":"M34564","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000141","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000141","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Amenorrhea","DESCRIPTION_FULL":"Absence of menses for an interval of time equivalent to a total of more than (or equal to) 3 previous cycles or 6 months. [PMID:22594864]"}
{"STANDARD_NAME":"HP_ABNORMAL_VAGINA_MORPHOLOGY","SYSTEMATIC_NAME":"M34565","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000142","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000142","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal vagina morphology","DESCRIPTION_FULL":"Any structural abnormality of the vagina. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DECREASED_FERTILITY","SYSTEMATIC_NAME":"M34566","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000144","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000144","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased fertility"}
{"STANDARD_NAME":"HP_VAGINAL_ATRESIA","SYSTEMATIC_NAME":"M34567","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000148","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000148","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Vaginal atresia","DESCRIPTION_FULL":"Congenital occlusion of the vagina or adhesion of the walls of the vagina causing occlusion. [HPO:probinson]"}
{"STANDARD_NAME":"HP_OVARIAN_GONADOBLASTOMA","SYSTEMATIC_NAME":"M34568","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000149","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000149","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ovarian gonadoblastoma","DESCRIPTION_FULL":"The presence of a gonadoblastoma of the ovary. [eMedicine:986581, HPO:probinson]"}
{"STANDARD_NAME":"HP_GONADOBLASTOMA","SYSTEMATIC_NAME":"M34569","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000150","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000150","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Gonadoblastoma","DESCRIPTION_FULL":"The presence of a gonadoblastoma, a neoplasm of a gonad that consists of aggregates of germ cells and sex cord elements. [HPO:probinson]"}
{"STANDARD_NAME":"HP_APLASIA_OF_THE_UTERUS","SYSTEMATIC_NAME":"M34570","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000151","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000151","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia of the uterus","DESCRIPTION_FULL":"Aplasia of the uterus. [HPO:probinson]"}
{"STANDARD_NAME":"HP_WIDE_MOUTH","SYSTEMATIC_NAME":"M34571","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000154","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000154","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Wide mouth","DESCRIPTION_FULL":"Distance between the oral commissures more than 2 SD above the mean. Alternatively, an apparently increased width of the oral aperture (subjective). [PMID:19125428]"}
{"STANDARD_NAME":"HP_ORAL_ULCER","SYSTEMATIC_NAME":"M34572","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000155","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000155","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Oral ulcer","DESCRIPTION_FULL":"Erosion of the mucous mebrane of the mouth with local excavation of the surface, resulting from the sloughing of inflammatory necrotic tissue. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_TONGUE","SYSTEMATIC_NAME":"M34573","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000157","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000157","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the tongue","DESCRIPTION_FULL":"Any abnormality of the tongue. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MACROGLOSSIA","SYSTEMATIC_NAME":"M34574","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000158","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000158","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Macroglossia","DESCRIPTION_FULL":"Increased length and width of the tongue. [PMID:19125428]"}
{"STANDARD_NAME":"HP_ABNORMAL_LIP_MORPHOLOGY","SYSTEMATIC_NAME":"M34575","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000159","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000159","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal lip morphology","DESCRIPTION_FULL":"An abnormality of the lip. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NARROW_MOUTH","SYSTEMATIC_NAME":"M34576","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000160","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000160","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Narrow mouth","DESCRIPTION_FULL":"Distance between the commissures of the mouth more than 2 SD below the mean. Alternatively, an apparently decreased width of the oral aperture (subjective). [PMID:19125428]"}
{"STANDARD_NAME":"HP_MEDIAN_CLEFT_LIP","SYSTEMATIC_NAME":"M34577","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000161","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000161","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Median cleft lip","DESCRIPTION_FULL":"A type of cleft lip presenting as a midline (median) gap in the upper lip. [HPO:probinson]"}
{"STANDARD_NAME":"HP_GLOSSOPTOSIS","SYSTEMATIC_NAME":"M34578","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000162","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000162","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Glossoptosis","DESCRIPTION_FULL":"Posterior displacement of the tongue into the pharynx, i.e., a tongue that is mislocalised posteriorly. [HPO:probinson, PMID:19125428]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_DENTITION","SYSTEMATIC_NAME":"M34579","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000164","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000164","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the dentition","DESCRIPTION_FULL":"Any abnormality of the teeth. [HPO:ibailleulforestier]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_GINGIVA","SYSTEMATIC_NAME":"M34580","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000168","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000168","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the gingiva","DESCRIPTION_FULL":"Any abnormality of the gingiva (also known as gums). [HPO:probinson]"}
{"STANDARD_NAME":"HP_GINGIVAL_FIBROMATOSIS","SYSTEMATIC_NAME":"M34581","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000169","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000169","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Gingival fibromatosis","DESCRIPTION_FULL":"The presence of fibrosis of the gingiva. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MICROGLOSSIA","SYSTEMATIC_NAME":"M34582","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000171","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000171","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Microglossia","DESCRIPTION_FULL":"Decreased length and width of the tongue. [PMID:19125428]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_UVULA","SYSTEMATIC_NAME":"M34583","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000172","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000172","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the uvula","DESCRIPTION_FULL":"Abnormality of the uvula, the conic projection from the posterior edge of the middle of the soft palate. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_PALATE_MORPHOLOGY","SYSTEMATIC_NAME":"M34584","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000174","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000174","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal palate morphology","DESCRIPTION_FULL":"Any abnormality of the palate, i.e., of roof of the mouth. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_UPPER_LIP","SYSTEMATIC_NAME":"M34586","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000177","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000177","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of upper lip","DESCRIPTION_FULL":"An abnormality of the upper lip. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_LOWER_LIP","SYSTEMATIC_NAME":"M34587","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000178","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000178","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of lower lip","DESCRIPTION_FULL":"An abnormality of the lower lip. [HPO:probinson]"}
{"STANDARD_NAME":"HP_THICK_LOWER_LIP_VERMILION","SYSTEMATIC_NAME":"M34588","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000179","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000179","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Thick lower lip vermilion","DESCRIPTION_FULL":"Increased thickness of the lower lip, leading to a prominent appearance of the lower lip. The height of the vermilion of the lower lip in the midline is more than 2 SD above the mean. Alternatively, an apparently increased height of the vermilion of the lower lip in the frontal view (subjective). [HPO:curators, PMID:19125428]"}
{"STANDARD_NAME":"HP_LOBULATED_TONGUE","SYSTEMATIC_NAME":"M34589","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000180","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000180","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Lobulated tongue","DESCRIPTION_FULL":"Multiple indentations and/or elevations on the edge and/or surface of the tongue producing an irregular surface contour. [PMID:19125428]"}
{"STANDARD_NAME":"HP_MOVEMENT_ABNORMALITY_OF_THE_TONGUE","SYSTEMATIC_NAME":"M34590","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000182","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000182","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Movement abnormality of the tongue"}
{"STANDARD_NAME":"HP_DIFFICULTY_IN_TONGUE_MOVEMENTS","SYSTEMATIC_NAME":"M34591","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000183","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000183","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Difficulty in tongue movements"}
{"STANDARD_NAME":"HP_CLEFT_SOFT_PALATE","SYSTEMATIC_NAME":"M34592","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000185","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000185","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cleft soft palate","DESCRIPTION_FULL":"Cleft of the soft palate (also known as the velum, or muscular palate) as a result of a developmental defect occurring between the 7th and 12th week of pregnancy. Cleft soft palate can cause functional abnormalities of the Eustachian tube with resulting middle ear anomalies and hearing difficulties, as well as speech problems associated with hypernasal speech due to velopharyngeal insufficiency. [HPO:curators]"}
{"STANDARD_NAME":"HP_BROAD_ALVEOLAR_RIDGES","SYSTEMATIC_NAME":"M34593","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000187","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000187","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Broad alveolar ridges"}
{"STANDARD_NAME":"HP_SHORT_UPPER_LIP","SYSTEMATIC_NAME":"M34594","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000188","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000188","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Short upper lip","DESCRIPTION_FULL":"Decreased width of the upper lip. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NARROW_PALATE","SYSTEMATIC_NAME":"M34595","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000189","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000189","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Narrow palate","DESCRIPTION_FULL":"Width of the palate more than 2 SD below the mean (objective) or apparently decreased palatal width (subjective). [PMID:19125428]"}
{"STANDARD_NAME":"HP_ABNORMAL_ORAL_FRENULUM_MORPHOLOGY","SYSTEMATIC_NAME":"M34596","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000190","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000190","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal oral frenulum morphology","DESCRIPTION_FULL":"An abnormality of the lingual frenulum, that is of the small fold of mucous membrane that attaches the tongue to the floor of the mouth, or the presence of accessory frenula in the oral cavity. [HPO:probinson, PMID:23633765]"}
{"STANDARD_NAME":"HP_ACCESSORY_ORAL_FRENULUM","SYSTEMATIC_NAME":"M34597","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000191","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000191","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Accessory oral frenulum","DESCRIPTION_FULL":"Extra fold of tissue extending from the alveolar ridge to the inner surface of the upper or lower lip. [PMID:19125428]"}
{"STANDARD_NAME":"HP_BIFID_UVULA","SYSTEMATIC_NAME":"M41217","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000193","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000193","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Bifid uvula","DESCRIPTION_FULL":"Uvula separated into two parts most easily seen at the tip. [PMID:19125428]"}
{"STANDARD_NAME":"HP_OPEN_MOUTH","SYSTEMATIC_NAME":"M34598","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000194","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000194","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Open mouth","DESCRIPTION_FULL":"A facial appearance characterized by a permanently or nearly permanently opened mouth. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_PAROTID_GLAND_MORPHOLOGY","SYSTEMATIC_NAME":"M34599","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000197","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000197","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal parotid gland morphology","DESCRIPTION_FULL":"Any abnormality of the parotid glands, which are the salivary glands that are located in the subcutaneous tissues of the face overlying the mandibular ramus and anterior and inferior to the external ear. [HPO:curators]"}
{"STANDARD_NAME":"HP_TONGUE_NODULES","SYSTEMATIC_NAME":"M34600","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000199","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000199","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Tongue nodules"}
{"STANDARD_NAME":"HP_SHORT_LINGUAL_FRENULUM","SYSTEMATIC_NAME":"M34601","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000200","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000200","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Short lingual frenulum","DESCRIPTION_FULL":"The presence of an abnormally short lingual frenulum. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PIERRE_ROBIN_SEQUENCE","SYSTEMATIC_NAME":"M34602","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000201","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000201","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pierre-Robin sequence","DESCRIPTION_FULL":"Pierre Robin malformation is a sequence of developmental malformations characterized by micrognathia (mandibular hypoplasia), glossoptosis and cleft palate. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ORAL_CLEFT","SYSTEMATIC_NAME":"M34603","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000202","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000202","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Oral cleft","DESCRIPTION_FULL":"The presence of a cleft in the oral cavity, the two main types of which are cleft lip and cleft palate. In cleft lip, there is the congenital failure of the maxillary and median nasal processes to fuse, forming a groove or fissure in the lip. In cleft palate, there is a congenital failure of the palate to fuse properly, forming a grooved depression or fissure in the roof of the mouth. Clefts of the lip and palate can occur individually or together. It is preferable to code each defect separately. [HPO:probinson, PMID:21331089]"}
{"STANDARD_NAME":"HP_CLEFT_UPPER_LIP","SYSTEMATIC_NAME":"M41218","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000204","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000204","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cleft upper lip","DESCRIPTION_FULL":"A gap in the upper lip. This is a congenital defect resulting from nonfusion of tissues of the lip during embryonal development. [HPO:probinson]"}
{"STANDARD_NAME":"HP_GLOSSITIS","SYSTEMATIC_NAME":"M34604","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000206","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000206","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Glossitis","DESCRIPTION_FULL":"Inflammation of the tongue. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_TRIANGULAR_MOUTH","SYSTEMATIC_NAME":"M34605","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000207","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000207","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Triangular mouth","DESCRIPTION_FULL":"The presence of a triangular form of the mouth. [HPO:probinson]"}
{"STANDARD_NAME":"HP_TRISMUS","SYSTEMATIC_NAME":"M34606","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000211","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000211","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Trismus","DESCRIPTION_FULL":"Limitation in the ability to open the mouth. [HPO:curators]"}
{"STANDARD_NAME":"HP_GINGIVAL_OVERGROWTH","SYSTEMATIC_NAME":"M34607","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000212","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000212","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Gingival overgrowth","DESCRIPTION_FULL":"Hyperplasia of the gingiva (that is, a thickening of the soft tissue overlying the alveolar ridge. The degree of thickening ranges from involvement of the interdental papillae alone to gingival overgrowth covering the entire tooth crown. [PMID:19125428]"}
{"STANDARD_NAME":"HP_THICK_UPPER_LIP_VERMILION","SYSTEMATIC_NAME":"M34608","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000215","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000215","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Thick upper lip vermilion","DESCRIPTION_FULL":"Height of the vermilion of the upper lip in the midline more than 2 SD above the mean. Alternatively, an apparently increased height of the vermilion of the upper lip in the frontal view (subjective). [PMID:19125428]"}
{"STANDARD_NAME":"HP_XEROSTOMIA","SYSTEMATIC_NAME":"M34609","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000217","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000217","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Xerostomia","DESCRIPTION_FULL":"Dryness of the mouth due to salivary gland dysfunction. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HIGH_PALATE","SYSTEMATIC_NAME":"M34610","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000218","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000218","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"High palate","DESCRIPTION_FULL":"Height of the palate more than 2 SD above the mean (objective) or palatal height at the level of the first permanent molar more than twice the height of the teeth (subjective). [PMID:19125428]"}
{"STANDARD_NAME":"HP_THIN_UPPER_LIP_VERMILION","SYSTEMATIC_NAME":"M34611","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000219","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000219","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Thin upper lip vermilion","DESCRIPTION_FULL":"Height of the vermilion of the upper lip in the midline more than 2 SD below the mean. Alternatively, an apparently reduced height of the vermilion of the upper lip in the frontal view (subjective). [PMID:19125428]"}
{"STANDARD_NAME":"HP_VELOPHARYNGEAL_INSUFFICIENCY","SYSTEMATIC_NAME":"M34612","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000220","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000220","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Velopharyngeal insufficiency","DESCRIPTION_FULL":"Inability of velopharyngeal sphincter to sufficiently separate the nasal cavity from the oral cavity during speech. [DDD:jhurst]"}
{"STANDARD_NAME":"HP_FURROWED_TONGUE","SYSTEMATIC_NAME":"M34613","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000221","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000221","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Furrowed tongue","DESCRIPTION_FULL":"Accentuation of the grooves on the dorsal surface of the tongue. [PMID:19125428]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_TASTE_SENSATION","SYSTEMATIC_NAME":"M34614","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000223","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000223","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of taste sensation"}
{"STANDARD_NAME":"HP_GINGIVAL_BLEEDING","SYSTEMATIC_NAME":"M34615","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000225","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000225","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Gingival bleeding","DESCRIPTION_FULL":"Hemorrhage affecting the gingiva. [HPO:ibailleulforestier]"}
{"STANDARD_NAME":"HP_GINGIVITIS","SYSTEMATIC_NAME":"M34616","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000230","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000230","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Gingivitis","DESCRIPTION_FULL":"Inflammation of the gingiva. [HPO:probinson]"}
{"STANDARD_NAME":"HP_THIN_VERMILION_BORDER","SYSTEMATIC_NAME":"M34617","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000233","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000233","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Thin vermilion border","DESCRIPTION_FULL":"Height of the vermilion of the medial part of the lip more than 2 SD below the mean, or apparently reduced height of the vermilion of the lip in the frontal view. The vermilion is the red part of the lips (and confusingly, the vermilion itself is also often referred to as being equivalent the lips). [HPO:probinson, PMID:19125428]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_FONTANELLES_OR_CRANIAL_SUTURES","SYSTEMATIC_NAME":"M34618","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000235","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000235","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the fontanelles or cranial sutures","DESCRIPTION_FULL":"Any abnormality of the fontanelles (the regions covered by a thick membrane that normally ossify in the first two years of life) or the cranial sutures (the fibrous joints in which the articulating bones or cartilages of the skull are connected by sutural ligaments). [HPO:probinson, PMID:12825844]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_ANTERIOR_FONTANELLE","SYSTEMATIC_NAME":"M34619","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000236","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000236","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the anterior fontanelle","DESCRIPTION_FULL":"An abnormality of the anterior fontanelle, i.e., the cranial fontanelle that is located at the intersection of the coronal and sagittal sutures. [HPO:curators]"}
{"STANDARD_NAME":"HP_SMALL_ANTERIOR_FONTANELLE","SYSTEMATIC_NAME":"M34620","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000237","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000237","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Small anterior fontanelle","DESCRIPTION_FULL":"Abnormally decreased size of the anterior fontanelle with respect to age-dependent norms. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYDROCEPHALUS","SYSTEMATIC_NAME":"M34621","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000238","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000238","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hydrocephalus","DESCRIPTION_FULL":"Hydrocephalus is an active distension of the ventricular system of the brain resulting from inadequate passage of CSF from its point of production within the cerebral ventricles to its point of absorption into the systemic circulation. [HPO:probinson, PMID:18211712, PMID:19410151]"}
{"STANDARD_NAME":"HP_PARIETAL_BOSSING","SYSTEMATIC_NAME":"M34623","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000242","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000242","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Parietal bossing","DESCRIPTION_FULL":"Parietal bossing is a marked prominence in the parietal region. [HPO:probinson]"}
{"STANDARD_NAME":"HP_TRIGONOCEPHALY","SYSTEMATIC_NAME":"M34624","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000243","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000243","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Trigonocephaly","DESCRIPTION_FULL":"Wedge-shaped, or triangular head, with the apex of the triangle at the midline of the forehead and the base of the triangle at the occiput. [PMID:19125436]"}
{"STANDARD_NAME":"HP_BRACHYTURRICEPHALY","SYSTEMATIC_NAME":"M34625","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000244","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000244","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Brachyturricephaly","DESCRIPTION_FULL":"Abnormal vertical height of the skull and a shortening of its anterior-posterior length, frequently combined with malformations of the occipital region. [PMID:8460563]"}
{"STANDARD_NAME":"HP_ABNORMAL_PARANASAL_SINUS_MORPHOLOGY","SYSTEMATIC_NAME":"M34626","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000245","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000245","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal paranasal sinus morphology","DESCRIPTION_FULL":"Abnormality of the paranasal (cranial) sinuses, which are air-filled spaces that are located within the bones of the skull and face and communicate with the nasal cavity. They comprise the maxillary sinuses, the frontal sinuses, the ethmoid sinuses, and the sphenoid sinuses. [HPO:probinson]"}
{"STANDARD_NAME":"HP_BRACHYCEPHALY","SYSTEMATIC_NAME":"M34627","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000248","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000248","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Brachycephaly","DESCRIPTION_FULL":"An abnormality of skull shape characterized by a decreased anterior-posterior diameter. That is, a cephalic index greater than 81%. Alternatively, an apparently shortened anteroposterior dimension (length) of the head compared to width. [HPO:probinson, PMID:19125436]"}
{"STANDARD_NAME":"HP_PROGRESSIVE_MICROCEPHALY","SYSTEMATIC_NAME":"M34628","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000253","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000253","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Progressive microcephaly","DESCRIPTION_FULL":"Progressive microcephaly is diagnosed when the head circumference falls progressively behind age- and gender-dependent norms. [HPO:probinson]"}
{"STANDARD_NAME":"HP_WIDE_ANTERIOR_FONTANEL","SYSTEMATIC_NAME":"M34629","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000260","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000260","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Wide anterior fontanel","DESCRIPTION_FULL":"Enlargement of the anterior fontanelle with respect to age-dependent norms. [HPO:curators]"}
{"STANDARD_NAME":"HP_TURRICEPHALY","SYSTEMATIC_NAME":"M34630","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000262","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000262","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Turricephaly","DESCRIPTION_FULL":"Tall head relative to width and length. [PMID:19125436]"}
{"STANDARD_NAME":"HP_OXYCEPHALY","SYSTEMATIC_NAME":"M34631","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000263","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000263","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Oxycephaly","DESCRIPTION_FULL":"Oxycephaly (from Greek oxus, sharp, and kephalos, head) refers to a conical or pointed shape of the skull. [HPO:curators]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_MASTOID","SYSTEMATIC_NAME":"M34632","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000264","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000264","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the mastoid","DESCRIPTION_FULL":"An abnormality of the mastoid process, which is the conical prominence projecting from the undersurface of the mastoid portion of the temporal bone. [HPO:pnrobinson]"}
{"STANDARD_NAME":"HP_MASTOIDITIS","SYSTEMATIC_NAME":"M34633","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000265","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000265","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Mastoiditis"}
{"STANDARD_NAME":"HP_CRANIAL_ASYMMETRY","SYSTEMATIC_NAME":"M34634","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000267","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000267","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cranial asymmetry","DESCRIPTION_FULL":"Asymmetry of the bones of the skull. [HPO:curators]"}
{"STANDARD_NAME":"HP_DOLICHOCEPHALY","SYSTEMATIC_NAME":"M34635","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000268","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000268","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Dolichocephaly","DESCRIPTION_FULL":"An abnormality of skull shape characterized by a increased anterior-posterior diameter, i.e., an increased antero-posterior dimension of the skull. Cephalic index less than 76%. Alternatively, an apparently increased antero-posterior length of the head compared to width. Often due to premature closure of the sagittal suture. [HPO:probinson, PMID:19125436]"}
{"STANDARD_NAME":"HP_PROMINENT_OCCIPUT","SYSTEMATIC_NAME":"M34636","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000269","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000269","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Prominent occiput","DESCRIPTION_FULL":"Increased convexity of the occiput (posterior part of the skull). [PMID:19125436]"}
{"STANDARD_NAME":"HP_DELAYED_CRANIAL_SUTURE_CLOSURE","SYSTEMATIC_NAME":"M34637","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000270","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000270","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Delayed cranial suture closure","DESCRIPTION_FULL":"Infants normally have two fontanels at birth, the diamond-shaped anterior fontanelle at the junction of the coronal and sagittal sutures, and the posterior fontanelle at the intersection of the occipital and parietal bones. The posterior fontanelle usually closes by the 8th week of life, and the anterior fontanel closes by the 18th month of life on average. This term applies if there is delay of closure of the fontanelles beyond the normal age. [HPO:probinson]"}
{"STANDARD_NAME":"HP_FACIAL_GRIMACING","SYSTEMATIC_NAME":"M34638","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000273","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000273","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Facial grimacing"}
{"STANDARD_NAME":"HP_SMALL_FACE","SYSTEMATIC_NAME":"M34639","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000274","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000274","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Small face","DESCRIPTION_FULL":"A face that is short (HP:0011219) and narrow (HP:0000275). [HP:probinson]"}
{"STANDARD_NAME":"HP_RETROGNATHIA","SYSTEMATIC_NAME":"M34641","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000278","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000278","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Retrognathia","DESCRIPTION_FULL":"An abnormality in which the mandible is mislocalised posteriorly. [HPO:probinson]"}
{"STANDARD_NAME":"HP_COARSE_FACIAL_FEATURES","SYSTEMATIC_NAME":"M34642","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000280","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000280","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Coarse facial features","DESCRIPTION_FULL":"Absence of fine and sharp appearance of brows, nose, lips, mouth, and chin, usually because of rounded and heavy features or thickened skin with or without thickening of subcutaneous and bony tissues. [PMID:19125436]"}
{"STANDARD_NAME":"HP_FACIAL_EDEMA","SYSTEMATIC_NAME":"M34643","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000282","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000282","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Facial edema"}
{"STANDARD_NAME":"HP_BROAD_FACE","SYSTEMATIC_NAME":"M34644","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000283","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000283","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Broad face","DESCRIPTION_FULL":"Bizygomatic (upper face) and bigonial (lower face) width greater than 2 standard deviations above the mean (objective); or an apparent increase in the width of the face (subjective). [PMID:19125436]"}
{"STANDARD_NAME":"HP_EPICANTHUS","SYSTEMATIC_NAME":"M34645","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000286","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000286","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Epicanthus","DESCRIPTION_FULL":"A fold of skin starting above the medial aspect of the upper eyelid and arching downward to cover, pass in front of and lateral to the medial canthus. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_PHILTRUM","SYSTEMATIC_NAME":"M34646","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000288","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000288","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the philtrum","DESCRIPTION_FULL":"An abnormality of the philtrum. [HPO:probinson]"}
{"STANDARD_NAME":"HP_BROAD_PHILTRUM","SYSTEMATIC_NAME":"M34647","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000289","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000289","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Broad philtrum","DESCRIPTION_FULL":"Distance between the philtral ridges, measured just above the vermilion border, more than 2 standard deviations above the mean, or alternatively, an apparently increased distance between the ridges of the philtrum. [PMID:19152422]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_FOREHEAD","SYSTEMATIC_NAME":"M34648","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000290","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000290","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the forehead","DESCRIPTION_FULL":"An anomaly of the forehead. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_FACIAL_ADIPOSE_TISSUE","SYSTEMATIC_NAME":"M34649","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000291","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000291","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of facial adipose tissue"}
{"STANDARD_NAME":"HP_FULL_CHEEKS","SYSTEMATIC_NAME":"M34650","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000293","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000293","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Full cheeks","DESCRIPTION_FULL":"Increased prominence or roundness of soft tissues between zygomata and mandible. [DDD:awilkie]"}
{"STANDARD_NAME":"HP_LOW_ANTERIOR_HAIRLINE","SYSTEMATIC_NAME":"M34651","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000294","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000294","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Low anterior hairline","DESCRIPTION_FULL":"Distance between the hairline (trichion) and the glabella (the most prominent point on the frontal bone above the root of the nose), in the midline, more than two SD below the mean. Alternatively, an apparently decreased distance between the hairline and the glabella. [PMID:19125436]"}
{"STANDARD_NAME":"HP_FACIAL_HYPOTONIA","SYSTEMATIC_NAME":"M34652","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000297","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000297","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Facial hypotonia","DESCRIPTION_FULL":"Reduced muscle tone of a muscle that is innervated by the facial nerve (the seventh cranial nerve). [HPO:probinson]"}
{"STANDARD_NAME":"HP_MASK_LIKE_FACIES","SYSTEMATIC_NAME":"M34653","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000298","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000298","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Mask-like facies","DESCRIPTION_FULL":"A lack of facial expression often with staring eyes and a slightly open mouth. [HPO:probinson]"}
{"STANDARD_NAME":"HP_OVAL_FACE","SYSTEMATIC_NAME":"M34654","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000300","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000300","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Oval face","DESCRIPTION_FULL":"A face with a rounded and slightly elongated outline. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_FACIAL_MUSCULATURE","SYSTEMATIC_NAME":"M34655","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000301","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000301","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of facial musculature","DESCRIPTION_FULL":"An anomaly of a muscle that is innervated by the facial nerve (the seventh cranial nerve). [HPO:probinson]"}
{"STANDARD_NAME":"HP_MANDIBULAR_PROGNATHIA","SYSTEMATIC_NAME":"M34656","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000303","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000303","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Mandibular prognathia","DESCRIPTION_FULL":"Abnormal prominence of the chin related to increased length of the mandible. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_CHIN","SYSTEMATIC_NAME":"M34657","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000306","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000306","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the chin","DESCRIPTION_FULL":"An abnormality of the chin, i.e., of the inferior portion of the face lying inferior to the lower lip and including the central prominence of the lower jaw. [HPO:probinson, PMID:19125436]"}
{"STANDARD_NAME":"HP_POINTED_CHIN","SYSTEMATIC_NAME":"M34658","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000307","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000307","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pointed chin","DESCRIPTION_FULL":"A marked tapering of the lower face to the chin. [PMID:19125436]"}
{"STANDARD_NAME":"HP_MICRORETROGNATHIA","SYSTEMATIC_NAME":"M34659","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000308","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000308","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Microretrognathia","DESCRIPTION_FULL":"A form of developmental hypoplasia of the mandible in which the mandible is mislocalised posteriorly. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_MIDFACE","SYSTEMATIC_NAME":"M34660","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000309","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000309","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the midface","DESCRIPTION_FULL":"An anomaly of the midface, which is a region and not an anatomical term. It extends, superiorly, from the inferior orbital margin to, inferiorly, the level of nasal base. It is formed by the maxilla (upper jaw) and zygoma and cheeks and malar region. Traditionally, the nose and premaxilla are not included in the midface. [HPO:probinson, PMID:19125436]"}
{"STANDARD_NAME":"HP_ROUND_FACE","SYSTEMATIC_NAME":"M34661","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000311","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000311","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Round face","DESCRIPTION_FULL":"The facial appearance is more circular than usual as viewed from the front. [PMID:19125436]"}
{"STANDARD_NAME":"HP_HYPERTELORISM","SYSTEMATIC_NAME":"M34663","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000316","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000316","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypertelorism","DESCRIPTION_FULL":"Interpupillary distance more than 2 SD above the mean (alternatively, the appearance of an increased interpupillary distance or widely spaced eyes). [PMID:19125427]"}
{"STANDARD_NAME":"HP_FACIAL_MYOKYMIA","SYSTEMATIC_NAME":"M34664","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000317","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000317","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Facial myokymia","DESCRIPTION_FULL":"Facial myokymia is a fine fibrillary activity of one or more muscles innervated by the facial nerve (the seventh cranial nerve). [HPO:curators]"}
{"STANDARD_NAME":"HP_SMOOTH_PHILTRUM","SYSTEMATIC_NAME":"M34665","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000319","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000319","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Smooth philtrum","DESCRIPTION_FULL":"Flat skin surface, with no ridge formation in the central region of the upper lip between the nasal base and upper vermilion border. [PMID:19152422]"}
{"STANDARD_NAME":"HP_BIRD_LIKE_FACIES","SYSTEMATIC_NAME":"M34666","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000320","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000320","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Bird-like facies"}
{"STANDARD_NAME":"HP_SQUARE_FACE","SYSTEMATIC_NAME":"M34667","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000321","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000321","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Square face","DESCRIPTION_FULL":"Facial contours, as viewed from the front, show a broad upper face/cranium and lower face/mandible, creating a square appearance. [PMID:19125436]"}
{"STANDARD_NAME":"HP_SHORT_PHILTRUM","SYSTEMATIC_NAME":"M34668","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000322","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000322","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Short philtrum","DESCRIPTION_FULL":"Distance between nasal base and midline upper lip vermilion border more than 2 SD below the mean. Alternatively, an apparently decreased distance between nasal base and midline upper lip vermilion border. [PMID:19152422]"}
{"STANDARD_NAME":"HP_FACIAL_ASYMMETRY","SYSTEMATIC_NAME":"M34669","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000324","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000324","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Facial asymmetry","DESCRIPTION_FULL":"An abnormal difference between the left and right sides of the face. [HPO:probinson]"}
{"STANDARD_NAME":"HP_TRIANGULAR_FACE","SYSTEMATIC_NAME":"M34670","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000325","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000325","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Triangular face","DESCRIPTION_FULL":"Facial contour, as viewed from the front, triangular in shape, with breadth at the temples and tapering to a narrow chin. [DDD:jclayton-smith, PMID:19125436]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_MAXILLA","SYSTEMATIC_NAME":"M34671","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000326","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000326","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the maxilla","DESCRIPTION_FULL":"An abnormality of the Maxilla (upper jaw bone). [HPO:probinson]"}
{"STANDARD_NAME":"HP_FACIAL_HEMANGIOMA","SYSTEMATIC_NAME":"M34672","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000329","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000329","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Facial hemangioma","DESCRIPTION_FULL":"Hemangioma, a benign tumor of the vascular endothelial cells, occurring in the face. [HPO:curators]"}
{"STANDARD_NAME":"HP_SHORT_CHIN","SYSTEMATIC_NAME":"M34673","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000331","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000331","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Short chin","DESCRIPTION_FULL":"Decreased vertical distance from the vermilion border of the lower lip to the inferior-most point of the chin. [HPO:probinson, PMID:19125436]"}
{"STANDARD_NAME":"HP_PROMINENT_SUPRAORBITAL_RIDGES","SYSTEMATIC_NAME":"M34674","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000336","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000336","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Prominent supraorbital ridges","DESCRIPTION_FULL":"Greater than average forward and/or lateral protrusion of the supraorbital portion of the frontal bones. [PMID:19125436]"}
{"STANDARD_NAME":"HP_BROAD_FOREHEAD","SYSTEMATIC_NAME":"M34675","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000337","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000337","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Broad forehead","DESCRIPTION_FULL":"Width of the forehead or distance between the frontotemporales is more than two standard deviations above the mean (objective); or apparently increased distance between the two sides of the forehead. [PMID:19125436]"}
{"STANDARD_NAME":"HP_HYPOMIMIC_FACE","SYSTEMATIC_NAME":"M34676","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000338","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000338","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypomimic face","DESCRIPTION_FULL":"A reduced degree of motion of the muscles beneath the skin of the face, often associated with reduced facial crease formation. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SLOPING_FOREHEAD","SYSTEMATIC_NAME":"M34677","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000340","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000340","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Sloping forehead","DESCRIPTION_FULL":"Inclination of the anterior surface of the forehead from the vertical more than two standard deviations above the mean (objective); or apparently excessive posterior sloping of the forehead in a lateral view. [PMID:19125436]"}
{"STANDARD_NAME":"HP_NARROW_FOREHEAD","SYSTEMATIC_NAME":"M34678","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000341","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000341","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Narrow forehead","DESCRIPTION_FULL":"Width of the forehead or distance between the frontotemporales is more than two standard deviations below the mean (objective); or apparently narrow intertemporal region (subjective). [PMID:19125436]"}
{"STANDARD_NAME":"HP_LONG_PHILTRUM","SYSTEMATIC_NAME":"M34679","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000343","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000343","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Long philtrum","DESCRIPTION_FULL":"Distance between nasal base and midline upper lip vermilion border more than 2 SD above the mean. Alternatively, an apparently increased distance between nasal base and midline upper lip vermilion border. [PMID:19152422]"}
{"STANDARD_NAME":"HP_HIGH_FOREHEAD","SYSTEMATIC_NAME":"M34680","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000348","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000348","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"High forehead","DESCRIPTION_FULL":"An abnormally increased height of the forehead. [HPO:probinson]"}
{"STANDARD_NAME":"HP_WIDOW_S_PEAK","SYSTEMATIC_NAME":"M34681","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000349","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000349","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Widow's peak","DESCRIPTION_FULL":"Frontal hairline with bilateral arcs to a low point in the midline of the forehead. [PMID:19125436]"}
{"STANDARD_NAME":"HP_SMALL_FOREHEAD","SYSTEMATIC_NAME":"M34682","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000350","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000350","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Small forehead","DESCRIPTION_FULL":"The presence of a forehead that is abnormally small. [HPO:curators]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_OUTER_EAR","SYSTEMATIC_NAME":"M34683","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000356","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000356","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the outer ear","DESCRIPTION_FULL":"An abnormality of the external ear. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_LOCATION_OF_EARS","SYSTEMATIC_NAME":"M34684","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000357","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000357","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal location of ears","DESCRIPTION_FULL":"Abnormal location of the ear. [HPO:probinson]"}
{"STANDARD_NAME":"HP_POSTERIORLY_ROTATED_EARS","SYSTEMATIC_NAME":"M34685","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000358","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000358","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Posteriorly rotated ears","DESCRIPTION_FULL":"A type of abnormal location of the ears in which the position of the ears is characterized by posterior rotation (the superior part of the ears is rotated towards the back of the head, and the inferior part of the ears towards the front). [HPO:probinson, PMID:19152421]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_INNER_EAR","SYSTEMATIC_NAME":"M34686","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000359","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000359","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the inner ear","DESCRIPTION_FULL":"An abnormality of the inner ear. [HPO:probinson]"}
{"STANDARD_NAME":"HP_TINNITUS","SYSTEMATIC_NAME":"M34687","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000360","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000360","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Tinnitus","DESCRIPTION_FULL":"Tinnitus is an auditory perception that can be described as the experience of sound, in the ear or in the head, in the absence of external acoustic stimulation. [Cochrane:ab005233]"}
{"STANDARD_NAME":"HP_OTOSCLEROSIS","SYSTEMATIC_NAME":"M34688","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000362","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000362","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Otosclerosis","DESCRIPTION_FULL":"In otosclerosis, a callus of bone accumulates on the stapes creating a partial fixation. This limits the movement of the stapes bone, which results in hearing loss. [HPO:probinson, PMID:15931303]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_EARLOBE","SYSTEMATIC_NAME":"M34689","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000363","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000363","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of earlobe","DESCRIPTION_FULL":"An abnormality of the lobule of pinna. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LOW_SET_POSTERIORLY_ROTATED_EARS","SYSTEMATIC_NAME":"M34690","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000368","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000368","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Low-set, posteriorly rotated ears","DESCRIPTION_FULL":"Ears that are low-set (HP:0000369) and posteriorly rotated (HP:0000358). [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_MIDDLE_EAR","SYSTEMATIC_NAME":"M34691","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000370","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000370","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the middle ear","DESCRIPTION_FULL":"An abnormality of the middle ear. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ACUTE_OTITIS_MEDIA","SYSTEMATIC_NAME":"M34692","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000371","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000371","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Acute otitis media","DESCRIPTION_FULL":"Acute otitis media is a short and generally painful infection of the middle ear. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_AUDITORY_CANAL","SYSTEMATIC_NAME":"M34693","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000372","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000372","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the auditory canal","DESCRIPTION_FULL":"An abnormality of the External acoustic tube (also known as the auditory canal). [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_COCHLEA_MORPHOLOGY","SYSTEMATIC_NAME":"M34694","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000375","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000375","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal cochlea morphology","DESCRIPTION_FULL":"An abnormality of the cochlea. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_PINNA","SYSTEMATIC_NAME":"M34695","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000377","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000377","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the pinna","DESCRIPTION_FULL":"An abnormality of the pinna, which is also referred to as the auricle or external ear. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CUPPED_EAR","SYSTEMATIC_NAME":"M34696","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000378","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000378","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cupped ear","DESCRIPTION_FULL":"Laterally protruding ear that lacks antihelical folding (including absence of inferior and superior crura). [HPO:probinson, PMID:19162421, PMID:22073081]"}
{"STANDARD_NAME":"HP_STAPES_ANKYLOSIS","SYSTEMATIC_NAME":"M41219","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000381","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000381","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Stapes ankylosis","DESCRIPTION_FULL":"Stapes ankylosis refers to congenital or acquired fixation of the stapes (the stirrup-shaped small bone or ossicle in the middle ear), which is associated with conductive hearing resulting from impairment of the sound-conduction mechanism (the external auditory canal, tympanic membrane, and/or middle-ear ossicles). [HPO:probinson, PMID:12089654]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_PERIAURICULAR_REGION","SYSTEMATIC_NAME":"M34697","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000383","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000383","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of periauricular region"}
{"STANDARD_NAME":"HP_PREAURICULAR_SKIN_TAG","SYSTEMATIC_NAME":"M34698","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000384","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000384","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Preauricular skin tag","DESCRIPTION_FULL":"A rudimentary tag of skin often containing ear tissue including a core of cartilage and located just anterior to the auricle (outer part of the ear). [HPO:probinson]"}
{"STANDARD_NAME":"HP_SMALL_EARLOBE","SYSTEMATIC_NAME":"M34699","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000385","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000385","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Small earlobe","DESCRIPTION_FULL":"Reduced volume of the earlobe. [HPO:probinson, PMID:19152421]"}
{"STANDARD_NAME":"HP_ABSENT_EARLOBE","SYSTEMATIC_NAME":"M34700","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000387","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000387","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Absent earlobe","DESCRIPTION_FULL":"Absence of fleshy non-cartilaginous tissue inferior to the tragus and incisura. [HPO:probinson, PMID:19152421]"}
{"STANDARD_NAME":"HP_OTITIS_MEDIA","SYSTEMATIC_NAME":"M34701","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000388","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000388","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Otitis media","DESCRIPTION_FULL":"Inflammation or infection of the middle ear. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CHRONIC_OTITIS_MEDIA","SYSTEMATIC_NAME":"M34702","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000389","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000389","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Chronic otitis media","DESCRIPTION_FULL":"Chronic otitis media refers to fluid, swelling, or infection of the middle ear that does not heal and may cause permanent damage to the ear. [HPO:probinson]"}
{"STANDARD_NAME":"HP_THICKENED_HELICES","SYSTEMATIC_NAME":"M34703","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000391","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000391","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Thickened helices","DESCRIPTION_FULL":"Increased thickness of the helix of the ear. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LOP_EAR","SYSTEMATIC_NAME":"M34704","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000394","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000394","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Lop ear","DESCRIPTION_FULL":"Anterior and inferior folding of the upper portion of the ear that obliterates triangular fossa and scapha. [HPO:probinson, PMID:19152421]"}
{"STANDARD_NAME":"HP_PROMINENT_ANTIHELIX","SYSTEMATIC_NAME":"M34705","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000395","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000395","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Prominent antihelix","DESCRIPTION_FULL":"The presence of an abnormally prominent antihelix. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PRELINGUAL_SENSORINEURAL_HEARING_IMPAIRMENT","SYSTEMATIC_NAME":"M34706","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000399","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000399","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Prelingual sensorineural hearing impairment","DESCRIPTION_FULL":"A form of sensorineural deafness with either congenital onset or infantile onset, i.e., before the acquisition of speech. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MACROTIA","SYSTEMATIC_NAME":"M34707","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000400","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000400","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Macrotia","DESCRIPTION_FULL":"Median longitudinal ear length greater than two standard deviations above the mean and median ear width greater than two standard deviations above the mean (objective); or, apparent increase in length and width of the pinna (subjective). [PMID:19152421]"}
{"STANDARD_NAME":"HP_STENOSIS_OF_THE_EXTERNAL_AUDITORY_CANAL","SYSTEMATIC_NAME":"M34708","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000402","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000402","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Stenosis of the external auditory canal","DESCRIPTION_FULL":"An abnormal narrowing of the external auditory canal. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RECURRENT_OTITIS_MEDIA","SYSTEMATIC_NAME":"M34709","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000403","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000403","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Recurrent otitis media","DESCRIPTION_FULL":"Increased susceptibility to otitis media, as manifested by recurrent episodes of otitis media. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PROGRESSIVE_SENSORINEURAL_HEARING_IMPAIRMENT","SYSTEMATIC_NAME":"M34710","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000408","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000408","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Progressive sensorineural hearing impairment","DESCRIPTION_FULL":"A progressive form of sensorineural hearing impairment. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MIXED_HEARING_IMPAIRMENT","SYSTEMATIC_NAME":"M34711","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000410","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000410","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Mixed hearing impairment","DESCRIPTION_FULL":"A type of hearing loss resulting from a combination of conductive hearing impairment and sensorineural hearing impairment. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PROTRUDING_EAR","SYSTEMATIC_NAME":"M34712","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000411","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000411","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Protruding ear","DESCRIPTION_FULL":"Angle formed by the plane of the ear and the mastoid bone greater than the 97th centile for age (objective); or, outer edge of the helix more than 2 cm from the mastoid at the point of maximum distance (objective). [PMID:19152421]"}
{"STANDARD_NAME":"HP_ATRESIA_OF_THE_EXTERNAL_AUDITORY_CANAL","SYSTEMATIC_NAME":"M34713","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000413","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000413","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Atresia of the external auditory canal","DESCRIPTION_FULL":"Absence or failure to form of the external auditory canal. [HPO:probinson]"}
{"STANDARD_NAME":"HP_BULBOUS_NOSE","SYSTEMATIC_NAME":"M34714","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000414","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000414","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Bulbous nose","DESCRIPTION_FULL":"Increased volume and globular shape of the anteroinferior aspect of the nose. [PMID:19152422]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_CHOANAE","SYSTEMATIC_NAME":"M34715","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000415","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000415","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the choanae","DESCRIPTION_FULL":"Abnormality of the choanae (the posterior nasal apertures). [HPO:probinson]"}
{"STANDARD_NAME":"HP_NARROW_NASAL_RIDGE","SYSTEMATIC_NAME":"M34716","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000418","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000418","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Narrow nasal ridge","DESCRIPTION_FULL":"Decreased width of the nasal ridge. [PMID:19152422]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_NASAL_SEPTUM","SYSTEMATIC_NAME":"M34717","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000419","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000419","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the nasal septum","DESCRIPTION_FULL":"An abnormality of the nasal septum. [HPO:probinson]"}
{"STANDARD_NAME":"HP_EPISTAXIS","SYSTEMATIC_NAME":"M34718","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000421","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000421","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Epistaxis","DESCRIPTION_FULL":"Epistaxis, or nosebleed, refers to a hemorrhage localized in the nose. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_NASAL_BRIDGE_MORPHOLOGY","SYSTEMATIC_NAME":"M34719","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000422","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000422","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal nasal bridge morphology","DESCRIPTION_FULL":"Abnormality of the nasal bridge, which is the saddle-shaped area that includes the nasal root and the lateral aspects of the nose. It lies between the glabella and the inferior boundary of the nasal bone, and extends laterally to the inner canthi. [HPO:probinson, PMID:19152422]"}
{"STANDARD_NAME":"HP_PROMINENT_NASAL_BRIDGE","SYSTEMATIC_NAME":"M34720","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000426","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000426","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Prominent nasal bridge","DESCRIPTION_FULL":"Anterior positioning of the nasal root in comparison to the usual positioning for age. [PMID:19152422]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_NASAL_ALAE","SYSTEMATIC_NAME":"M34721","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000429","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000429","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the nasal alae","DESCRIPTION_FULL":"An abnormality of the Ala of nose. [HPO:probinson, PMID:19152422]"}
{"STANDARD_NAME":"HP_UNDERDEVELOPED_NASAL_ALAE","SYSTEMATIC_NAME":"M34722","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000430","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000430","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Underdeveloped nasal alae","DESCRIPTION_FULL":"Thinned, deficient, or excessively arched ala nasi. [PMID:19152422]"}
{"STANDARD_NAME":"HP_WIDE_NASAL_BRIDGE","SYSTEMATIC_NAME":"M34723","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000431","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000431","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Wide nasal bridge","DESCRIPTION_FULL":"Increased breadth of the nasal bridge (and with it, the nasal root). [HPO:probinson, PMID:19152422]"}
{"STANDARD_NAME":"HP_ABNORMAL_NASAL_MUCOSA_MORPHOLOGY","SYSTEMATIC_NAME":"M34724","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000433","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000433","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal nasal mucosa morphology"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_NASAL_TIP","SYSTEMATIC_NAME":"M34725","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000436","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000436","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the nasal tip","DESCRIPTION_FULL":"An abnormality of the nasal tip. [HPO:probinson, PMID:19152422]"}
{"STANDARD_NAME":"HP_DEPRESSED_NASAL_TIP","SYSTEMATIC_NAME":"M34726","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000437","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000437","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Depressed nasal tip","DESCRIPTION_FULL":"Decreased distance from the nasal tip to the nasal base. [PMID:19152422]"}
{"STANDARD_NAME":"HP_CONVEX_NASAL_RIDGE","SYSTEMATIC_NAME":"M34727","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000444","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000444","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Convex nasal ridge","DESCRIPTION_FULL":"Nasal ridge curving anteriorly to an imaginary line that connects the nasal root and tip. The nose appears often also prominent, and the columella low. [PMID:19152422]"}
{"STANDARD_NAME":"HP_WIDE_NOSE","SYSTEMATIC_NAME":"M34728","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000445","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000445","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Wide nose","DESCRIPTION_FULL":"Interalar distance more than two standard deviations above the mean for age, i.e., an apparently increased width of the nasal base and alae. [PMID:19152422]"}
{"STANDARD_NAME":"HP_NARROW_NASAL_BRIDGE","SYSTEMATIC_NAME":"M34729","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000446","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000446","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Narrow nasal bridge","DESCRIPTION_FULL":"Decreased width of the bony bridge of the nose. [PMID:19152422]"}
{"STANDARD_NAME":"HP_PROMINENT_NOSE","SYSTEMATIC_NAME":"M34730","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000448","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000448","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Prominent nose","DESCRIPTION_FULL":"Distance between subnasale and pronasale more than two standard deviations above the mean, or alternatively, an apparently increased anterior protrusion of the nasal tip. [PMID:19152422]"}
{"STANDARD_NAME":"HP_CHOANAL_STENOSIS","SYSTEMATIC_NAME":"M34731","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000452","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000452","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Choanal stenosis","DESCRIPTION_FULL":"Abnormal narrowing of the choana (the posterior nasal aperture). [HPO:probinson]"}
{"STANDARD_NAME":"HP_FLARED_NOSTRILS","SYSTEMATIC_NAME":"M34732","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000454","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000454","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Flared nostrils"}
{"STANDARD_NAME":"HP_BROAD_NASAL_TIP","SYSTEMATIC_NAME":"M34733","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000455","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000455","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Broad nasal tip","DESCRIPTION_FULL":"Increase in width of the nasal tip. [HPO:probinson, PMID:19152422]"}
{"STANDARD_NAME":"HP_BIFID_NASAL_TIP","SYSTEMATIC_NAME":"M34734","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000456","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000456","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Bifid nasal tip","DESCRIPTION_FULL":"A splitting of the nasal tip. Visually assessable vertical indentation, cleft, or depression of the nasal tip. [HPO:sdoelken, PMID:19152422]"}
{"STANDARD_NAME":"HP_DEPRESSED_NASAL_RIDGE","SYSTEMATIC_NAME":"M34735","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000457","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000457","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Depressed nasal ridge","DESCRIPTION_FULL":"Lack of prominence of the nose resulting from a posteriorly-placed nasal ridge. [HPO:probinson, PMID:19152422]"}
{"STANDARD_NAME":"HP_ANOSMIA","SYSTEMATIC_NAME":"M34736","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000458","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000458","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Anosmia","DESCRIPTION_FULL":"An inability to perceive odors. This is a general term describing inability to smell arising in any part of the process of smelling from absorption of odorants into the nasal mucous overlying the olfactory epithelium, diffusion to the cilia, binding to olfactory receptor sites, generation of action potentials in olfactory neurons, and perception of a smell. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NARROW_NOSE","SYSTEMATIC_NAME":"M34737","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000460","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000460","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Narrow nose","DESCRIPTION_FULL":"Interalar distance more than 2 SD below the mean for age, or alternatively, an apparently decreased width of the nasal base and alae. [PMID:19152422]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_NECK","SYSTEMATIC_NAME":"M34738","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000464","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000464","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the neck","DESCRIPTION_FULL":"An abnormality of the neck. [HPO:probinson]"}
{"STANDARD_NAME":"HP_WEBBED_NECK","SYSTEMATIC_NAME":"M34739","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000465","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000465","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Webbed neck","DESCRIPTION_FULL":"Pterygium colli is a congenital skin fold that runs along the sides of the neck down to the shoulders. It involves an ectopic fibrotic facial band superficial to the trapezius muscle. Excess hair-bearing skin is also present and extends down the cervical region well beyond the normal hairline. [HPO:probinson, PMID:24523736]"}
{"STANDARD_NAME":"HP_LIMITED_NECK_RANGE_OF_MOTION","SYSTEMATIC_NAME":"M34740","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000466","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000466","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Limited neck range of motion"}
{"STANDARD_NAME":"HP_NECK_MUSCLE_WEAKNESS","SYSTEMATIC_NAME":"M34741","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000467","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000467","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neck muscle weakness","DESCRIPTION_FULL":"Decreased strength of the neck musculature. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LONG_NECK","SYSTEMATIC_NAME":"M34742","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000472","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000472","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Long neck","DESCRIPTION_FULL":"Increased inferior-superior length of the neck. [HPO:probinson]"}
{"STANDARD_NAME":"HP_THICKENED_NUCHAL_SKIN_FOLD","SYSTEMATIC_NAME":"M34743","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000474","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000474","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Thickened nuchal skin fold","DESCRIPTION_FULL":"A thickening of the skin thickness in the posterior aspect of the fetal neck. A nuchal fold measurement is obtained in a transverse section of the fetal head at the level of the cavum septum pellucidum and thalami, angled posteriorly to include the cerebellum. The measurement is taken from the outer edge of the occiput bone to the outer skin limit directly in the midline. A measurement 6 mm or more is considered significant between 18 and 24 weeks and a measurement of 5 mm or more is considered significant at 16 to 18 weeks (PMID:16100637). [HPO:probinson, PMID:16100637]"}
{"STANDARD_NAME":"HP_BROAD_NECK","SYSTEMATIC_NAME":"M34744","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000475","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000475","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Broad neck","DESCRIPTION_FULL":"Increased side-to-side width of the neck. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CYSTIC_HYGROMA","SYSTEMATIC_NAME":"M34745","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000476","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000476","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cystic hygroma","DESCRIPTION_FULL":"A cystic lymphatic lesion of the neck. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_RETINAL_MORPHOLOGY","SYSTEMATIC_NAME":"M34746","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000479","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000479","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal retinal morphology","DESCRIPTION_FULL":"A structural abnormality of the retina. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RETINAL_COLOBOMA","SYSTEMATIC_NAME":"M34747","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000480","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000480","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Retinal coloboma","DESCRIPTION_FULL":"A notch or cleft of the retina. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_CORNEA_MORPHOLOGY","SYSTEMATIC_NAME":"M34748","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000481","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000481","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal cornea morphology","DESCRIPTION_FULL":"Any abnormality of the cornea, which is the transparent tissue at the front of the eye that covers the iris, pupil, and anterior chamber. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MICROCORNEA","SYSTEMATIC_NAME":"M34749","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000482","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000482","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Microcornea","DESCRIPTION_FULL":"A congenital abnormality of the cornea in which the cornea and the anterior segment of the eye are smaller than normal. The horizontal diameter of the cornea does not reach 10 mm even in adulthood. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ASTIGMATISM","SYSTEMATIC_NAME":"M34750","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000483","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000483","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Astigmatism","DESCRIPTION_FULL":"A type of astigmatism associated with abnormal curvatures on the anterior and/or posterior surface of the cornea. [DDD:ncarter, HPO:probinson, ORCID:0000-0003-0986-4123]"}
{"STANDARD_NAME":"HP_MEGALOCORNEA","SYSTEMATIC_NAME":"M34751","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000485","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000485","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Megalocornea","DESCRIPTION_FULL":"An enlargement of the cornea with normal clarity and function. Megalocornea is diagnosed with a horizontal corneal diameter of 12 mm or more at birth or 13 mm or more after two years of age. [HPO:curators]"}
{"STANDARD_NAME":"HP_RETINOPATHY","SYSTEMATIC_NAME":"M34752","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000488","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000488","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Retinopathy","DESCRIPTION_FULL":"Any noninflammatory disease of the retina. This nonspecific term is retained here because of its wide use in the literature, but if possible new annotations should indicate the precise type of retinal abnormality. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DEEPLY_SET_EYE","SYSTEMATIC_NAME":"M34753","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000490","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000490","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Deeply set eye","DESCRIPTION_FULL":"An eye that is more deeply recessed into the plane of the face than is typical. [PMID:19125427]"}
{"STANDARD_NAME":"HP_KERATITIS","SYSTEMATIC_NAME":"M34754","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000491","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000491","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Keratitis","DESCRIPTION_FULL":"Inflammation of the cornea. [HPO:curators]"}
{"STANDARD_NAME":"HP_ABNORMAL_EYELID_MORPHOLOGY","SYSTEMATIC_NAME":"M34755","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000492","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000492","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal eyelid morphology","DESCRIPTION_FULL":"An abnormality of the eyelids. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_FOVEAL_MORPHOLOGY","SYSTEMATIC_NAME":"M34756","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000493","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000493","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal foveal morphology","DESCRIPTION_FULL":"An abnormality of the fovea centralis, the central area of the macula that mediates central, high resolution vision and contains the largest concentration of cone cells in the retina. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DOWNSLANTED_PALPEBRAL_FISSURES","SYSTEMATIC_NAME":"M34757","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000494","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000494","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Downslanted palpebral fissures","DESCRIPTION_FULL":"The palpebral fissure inclination is more than two standard deviations below the mean. [PMID:19125427]"}
{"STANDARD_NAME":"HP_RECURRENT_CORNEAL_EROSIONS","SYSTEMATIC_NAME":"M34758","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000495","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000495","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Recurrent corneal erosions","DESCRIPTION_FULL":"The presence of recurrent corneal epithelial erosions. Although most corneal epithelial defects heal quickly, some may show recurrent ulcerations. [HPO:curators]"}
{"STANDARD_NAME":"HP_BLEPHARITIS","SYSTEMATIC_NAME":"M34759","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000498","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000498","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Blepharitis","DESCRIPTION_FULL":"Inflammation of the eyelids. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_EYELASH_MORPHOLOGY","SYSTEMATIC_NAME":"M34760","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000499","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000499","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal eyelash morphology","DESCRIPTION_FULL":"An abnormality of the eyelashes. [HPO:probinson]"}
{"STANDARD_NAME":"HP_GLAUCOMA","SYSTEMATIC_NAME":"M34761","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000501","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000501","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Glaucoma","DESCRIPTION_FULL":"Glaucoma refers loss of retinal ganglion cells in a characteristic pattern of optic neuropathy usually associated with increased intraocular pressure. [HPO:probinson, PMID:11815354]"}
{"STANDARD_NAME":"HP_ABNORMAL_CONJUNCTIVA_MORPHOLOGY","SYSTEMATIC_NAME":"M34762","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000502","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000502","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal conjunctiva morphology","DESCRIPTION_FULL":"An abnormality of the conjunctiva. [HPO:curators]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_VISION","SYSTEMATIC_NAME":"M34763","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000504","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000504","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of vision","DESCRIPTION_FULL":"Abnormality of eyesight (visual perception). [HPO:probinson]"}
{"STANDARD_NAME":"HP_VISUAL_IMPAIRMENT","SYSTEMATIC_NAME":"M34764","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000505","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000505","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Visual impairment","DESCRIPTION_FULL":"Visual impairment (or vision impairment) is vision loss (of a person) to such a degree as to qualify as an additional support need through a significant limitation of visual capability resulting from either disease, trauma, or congenital or degenerative conditions that cannot be corrected by conventional means, such as refractive correction, medication, or surgery. [DDD:gblack]"}
{"STANDARD_NAME":"HP_TELECANTHUS","SYSTEMATIC_NAME":"M34765","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000506","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000506","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Telecanthus","DESCRIPTION_FULL":"Distance between the inner canthi more than two standard deviations above the mean (objective); or, apparently increased distance between the inner canthi. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PTOSIS","SYSTEMATIC_NAME":"M34766","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000508","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000508","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ptosis","DESCRIPTION_FULL":"The upper eyelid margin is positioned 3 mm or more lower than usual and covers the superior portion of the iris (objective); or, the upper lid margin obscures at least part of the pupil (subjective). [PMID:19125427]"}
{"STANDARD_NAME":"HP_ROD_CONE_DYSTROPHY","SYSTEMATIC_NAME":"M34767","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000510","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000510","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Rod-cone dystrophy","DESCRIPTION_FULL":"An inherited retinal disease subtype in which the rod photoreceptors appear to be more severely affected than the cone photoreceptors. Typical presentation is with nyctalopia (due to rod dysfunction) followed by loss of mid-peripheral field of vision, which gradually extends and leaves many patients with a small central island of vision due to the preservation of macular cones. [HPO:probinson, PMID:20212494]"}
{"STANDARD_NAME":"HP_VERTICAL_SUPRANUCLEAR_GAZE_PALSY","SYSTEMATIC_NAME":"M34768","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000511","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000511","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Vertical supranuclear gaze palsy","DESCRIPTION_FULL":"A supranuclear gaze palsy is an inability to look in a vertical direction as a result of cerebral impairment. There is a loss of the voluntary aspect of eye movements, but, as the brainstem is still intact, all the reflex conjugate eye movements are normal. [HPO:probinson, PMID:20671861]"}
{"STANDARD_NAME":"HP_ABNORMAL_ELECTRORETINOGRAM","SYSTEMATIC_NAME":"M34769","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000512","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000512","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal electroretinogram","DESCRIPTION_FULL":"Any abnormality of the electrical responses of various cell types in the retina as measured by electroretinography. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SLOW_SACCADIC_EYE_MOVEMENTS","SYSTEMATIC_NAME":"M34770","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000514","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000514","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Slow saccadic eye movements","DESCRIPTION_FULL":"An abnormally slow velocity of the saccadic eye movements. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_LENS","SYSTEMATIC_NAME":"M34771","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000517","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000517","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the lens","DESCRIPTION_FULL":"An abnormality of the lens. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DEVELOPMENTAL_CATARACT","SYSTEMATIC_NAME":"M34772","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000519","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000519","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Developmental cataract","DESCRIPTION_FULL":"A cataract that occurs congenitally as the result of a developmental defect, in contrast to the majority of cataracts that occur in adulthood as the result of degenerative changes of the lens. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PROPTOSIS","SYSTEMATIC_NAME":"M34773","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000520","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000520","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Proptosis","DESCRIPTION_FULL":"An eye that is protruding anterior to the plane of the face to a greater extent than is typical. [HPO:sdoelken, PMID:19125427]"}
{"STANDARD_NAME":"HP_ALACRIMA","SYSTEMATIC_NAME":"M34774","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000522","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000522","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Alacrima","DESCRIPTION_FULL":"Absence of tear secretion. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SUBCAPSULAR_CATARACT","SYSTEMATIC_NAME":"M34775","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000523","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000523","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Subcapsular cataract","DESCRIPTION_FULL":"A cataract that affects the region of the lens directly beneath the capsule of the lens. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_IRIS_MORPHOLOGY","SYSTEMATIC_NAME":"M34776","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000525","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000525","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality iris morphology","DESCRIPTION_FULL":"An abnormality of the iris, which is the pigmented muscular tissue between the cornea and the lens, that is perforated by an opening called the pupil. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ANIRIDIA","SYSTEMATIC_NAME":"M34777","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000526","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000526","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aniridia","DESCRIPTION_FULL":"Abnormality of the iris characterized by, typically bilateral, complete or partial iris hypoplasia. The phenotype ranges from mild defects of anterior iris stroma only to almost complete absence of the iris. [HPO:probinson, PMID:24138039, PMID:25313118, PMID:29850208, UManchester:psergouniotis]"}
{"STANDARD_NAME":"HP_LONG_EYELASHES","SYSTEMATIC_NAME":"M34778","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000527","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000527","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Long eyelashes","DESCRIPTION_FULL":"Mid upper eyelash length >10 mm or increased length of the eyelashes (subjective). [PMID:19125427, PMID:26288407]"}
{"STANDARD_NAME":"HP_ANOPHTHALMIA","SYSTEMATIC_NAME":"M34779","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000528","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000528","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Anophthalmia","DESCRIPTION_FULL":"Absence of the globe or eyeball. [DDD:ncarter]"}
{"STANDARD_NAME":"HP_PROGRESSIVE_VISUAL_LOSS","SYSTEMATIC_NAME":"M34780","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000529","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000529","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Progressive visual loss","DESCRIPTION_FULL":"A reduction of previously attained ability to see. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_CHORIORETINAL_MORPHOLOGY","SYSTEMATIC_NAME":"M34781","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000532","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000532","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal chorioretinal morphology","DESCRIPTION_FULL":"An abnormality of the choroid and retina. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CHORIORETINAL_ATROPHY","SYSTEMATIC_NAME":"M34782","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000533","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000533","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Chorioretinal atrophy","DESCRIPTION_FULL":"Atrophy of the choroid and retinal layers of the fundus. [HPO:probinson, PMID:20224472]"}
{"STANDARD_NAME":"HP_ABNORMAL_EYEBROW_MORPHOLOGY","SYSTEMATIC_NAME":"M34783","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000534","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000534","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal eyebrow morphology","DESCRIPTION_FULL":"An abnormality of the eyebrow. [HPO:probinson]"}
{"STANDARD_NAME":"HP_EPICANTHUS_INVERSUS","SYSTEMATIC_NAME":"M34784","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000537","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000537","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Epicanthus inversus","DESCRIPTION_FULL":"A fold of skin starting at or just below the medial aspect of the lower lid and arching upward to cover, extend in front of and lateral to the medial canthus. [PMID:19125427]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_REFRACTION","SYSTEMATIC_NAME":"M34785","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000539","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000539","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of refraction","DESCRIPTION_FULL":"An abnormality in the process of focusing of light by the eye in order to produce a sharp image on the retina. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPERMETROPIA","SYSTEMATIC_NAME":"M34786","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000540","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000540","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypermetropia","DESCRIPTION_FULL":"An abnormality of refraction characterized by the ability to see objects in the distance clearly, while objects nearby appear blurry. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RETINAL_DETACHMENT","SYSTEMATIC_NAME":"M34787","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000541","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000541","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Retinal detachment","DESCRIPTION_FULL":"Separation of the inner layers of the retina (neural retina) from the pigment epithelium. [HPO:probinson]"}
{"STANDARD_NAME":"HP_OPTIC_DISC_PALLOR","SYSTEMATIC_NAME":"M34788","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000543","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000543","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Optic disc pallor","DESCRIPTION_FULL":"A pale yellow discoloration of the optic disk (the area of the optic nerve head in the retina). The optic disc normally has a pinkish hue with a central yellowish depression. [HPO:probinson]"}
{"STANDARD_NAME":"HP_EXTERNAL_OPHTHALMOPLEGIA","SYSTEMATIC_NAME":"M34789","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000544","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000544","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"External ophthalmoplegia","DESCRIPTION_FULL":"Paralysis of the external ocular muscles. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MYOPIA","SYSTEMATIC_NAME":"M34790","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000545","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000545","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Myopia","DESCRIPTION_FULL":"An abnormality of refraction characterized by the ability to see objects nearby clearly, while objects in the distance appear blurry. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RETINAL_DEGENERATION","SYSTEMATIC_NAME":"M34791","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000546","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000546","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Retinal degeneration","DESCRIPTION_FULL":"A nonspecific term denoting degeneration of the retinal pigment epithelium and/or retinal photoreceptor cells. [HPO:probinson, ORCID:0000-0003-0986-4123]"}
{"STANDARD_NAME":"HP_CONE_CONE_ROD_DYSTROPHY","SYSTEMATIC_NAME":"M34792","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000548","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000548","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cone/cone-rod dystrophy"}
{"STANDARD_NAME":"HP_ABNORMAL_CONJUGATE_EYE_MOVEMENT","SYSTEMATIC_NAME":"M34793","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000549","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000549","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal conjugate eye movement","DESCRIPTION_FULL":"Any deviation from the normal motor coordination of the eyes that allows for bilateral fixation on a single object. [HPO:probinson]"}
{"STANDARD_NAME":"HP_UNDETECTABLE_ELECTRORETINOGRAM","SYSTEMATIC_NAME":"M34794","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000550","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000550","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Undetectable electroretinogram","DESCRIPTION_FULL":"Lack of any response to stimulation upon electroretinography. [HPO:probinson]"}
{"STANDARD_NAME":"HP_COLOR_VISION_DEFECT","SYSTEMATIC_NAME":"M34795","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000551","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000551","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Color vision defect","DESCRIPTION_FULL":"An anomaly in the ability to discriminate between or recognize colors. [HPO:probinson]"}
{"STANDARD_NAME":"HP_TRITANOMALY","SYSTEMATIC_NAME":"M34796","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000552","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000552","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Tritanomaly","DESCRIPTION_FULL":"Difficulty distinguishing between yellow and blue, possible related to dysfunction of the S photopigment. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_UVEA_MORPHOLOGY","SYSTEMATIC_NAME":"M34797","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000553","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000553","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal uvea morphology","DESCRIPTION_FULL":"An abnormality of the uvea, the vascular layer of the eyeball. [HPO:probinson]"}
{"STANDARD_NAME":"HP_UVEITIS","SYSTEMATIC_NAME":"M34798","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000554","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000554","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Uveitis","DESCRIPTION_FULL":"Inflammation of one or all portions of the uveal tract. [HPO:curators]"}
{"STANDARD_NAME":"HP_RETINAL_DYSTROPHY","SYSTEMATIC_NAME":"M34799","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000556","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000556","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Retinal dystrophy","DESCRIPTION_FULL":"Retinal dystrophy is an abnormality of the retina associated with a hereditary process. Retinal dystrophies are defined by their predominantly monogenic inheritance and they are frequently associated with loss or dysfunction of photoreceptor cells as a primary or secondary event. [ORCID:0000-0003-0986-4123]"}
{"STANDARD_NAME":"HP_BUPHTHALMOS","SYSTEMATIC_NAME":"M34800","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000557","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000557","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Buphthalmos","DESCRIPTION_FULL":"Diffusely large eye (with megalocornea) associated with glaucoma. []"}
{"STANDARD_NAME":"HP_RIEGER_ANOMALY","SYSTEMATIC_NAME":"M34801","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000558","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000558","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Rieger anomaly","DESCRIPTION_FULL":"A congenital malformation of the anterior segment characterized by iridicorneal malformation, glaucoma, iris stroma hypoplasia, posterior embryotoxon, and corneal opacities. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CORNEAL_SCARRING","SYSTEMATIC_NAME":"M34802","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000559","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000559","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Corneal scarring"}
{"STANDARD_NAME":"HP_LACRIMAL_DUCT_ATRESIA","SYSTEMATIC_NAME":"M41220","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000564","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000564","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Lacrimal duct atresia","DESCRIPTION_FULL":"A developmental disorder of the lacrimal drainage system that most often affects the lacrimal ostium and resulting in non-opening of the nasolacrimal duct. It usually results from a non-canalization of the nasolacrimal duct. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CHORIORETINAL_COLOBOMA","SYSTEMATIC_NAME":"M34803","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000567","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000567","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Chorioretinal coloboma","DESCRIPTION_FULL":"Absence of a region of the retina, retinal pigment epithelium, and choroid. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_SACCADIC_EYE_MOVEMENTS","SYSTEMATIC_NAME":"M34804","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000570","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000570","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal saccadic eye movements","DESCRIPTION_FULL":"An abnormality of eye movement characterized by impairment of fast (saccadic) eye movements. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPOMETRIC_SACCADES","SYSTEMATIC_NAME":"M34805","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000571","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000571","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypometric saccades","DESCRIPTION_FULL":"Saccadic undershoot, i.e., a saccadic eye movement that has less than the magnitude that would be required to gain fixation of the object. [HPO:probinson, PMID:572501]"}
{"STANDARD_NAME":"HP_VISUAL_LOSS","SYSTEMATIC_NAME":"M34806","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000572","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000572","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Visual loss","DESCRIPTION_FULL":"Loss of visual acuity (implying that vision was better at a certain timepoint in life). Otherwise the term reduced visual acuity should be used (or a subclass of that). [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_RETINAL_HEMORRHAGE","SYSTEMATIC_NAME":"M34807","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000573","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000573","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Retinal hemorrhage","DESCRIPTION_FULL":"Hemorrhage occurring within the retina. [HPO:gcarletti]"}
{"STANDARD_NAME":"HP_THICK_EYEBROW","SYSTEMATIC_NAME":"M34808","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000574","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000574","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Thick eyebrow","DESCRIPTION_FULL":"Increased density/number and/or increased diameter of eyebrow hairs. [PMID:19125427]"}
{"STANDARD_NAME":"HP_SCOTOMA","SYSTEMATIC_NAME":"M34809","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000575","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000575","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Scotoma","DESCRIPTION_FULL":"A regional and pathological increase of the light detection threshold in any region of the visual field surrounded by a field of normal or relatively well-preserved vision. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CENTROCECAL_SCOTOMA","SYSTEMATIC_NAME":"M34810","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000576","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000576","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Centrocecal scotoma","DESCRIPTION_FULL":"A scotoma (area of diminished vision within the visual field) located between the central point of fixation and the blind spot with a roughly horizontal oval shape. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NASOLACRIMAL_DUCT_OBSTRUCTION","SYSTEMATIC_NAME":"M34811","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000579","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000579","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Nasolacrimal duct obstruction","DESCRIPTION_FULL":"Blockage of the lacrimal duct. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PIGMENTARY_RETINOPATHY","SYSTEMATIC_NAME":"M34812","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000580","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000580","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pigmentary retinopathy","DESCRIPTION_FULL":"An abnormality of the retina characterized by pigment deposition. It is typically associated with migration and proliferation of macrophages or retinal pigment epithelial cells into the retina; melanin from these cells causes the pigmentary changes. Pigmentary retinopathy is a common final pathway of many retinal conditions and is often associated with visual loss. [ORCID:0000-0003-0986-4123]"}
{"STANDARD_NAME":"HP_BLEPHAROPHIMOSIS","SYSTEMATIC_NAME":"M34813","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000581","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000581","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Blepharophimosis","DESCRIPTION_FULL":"A fixed reduction in the vertical distance between the upper and lower eyelids with short palpebral fissures. [PMID:19125427]"}
{"STANDARD_NAME":"HP_UPSLANTED_PALPEBRAL_FISSURE","SYSTEMATIC_NAME":"M34814","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000582","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000582","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Upslanted palpebral fissure","DESCRIPTION_FULL":"The palpebral fissure inclination is more than two standard deviations above the mean for age (objective); or, the inclination of the palpebral fissure is greater than typical for age. [PMID:19125427]"}
{"STANDARD_NAME":"HP_BAND_KERATOPATHY","SYSTEMATIC_NAME":"M34815","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000585","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000585","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Band keratopathy","DESCRIPTION_FULL":"An abnormality of the cornea characterized by the deposition of calcium in a band across the central cornea, leading to decreased vision, foreign body sensation, and ocular irritation. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SHALLOW_ORBITS","SYSTEMATIC_NAME":"M34816","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000586","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000586","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Shallow orbits","DESCRIPTION_FULL":"Reduced depth of the orbits associated with prominent-appearing ocular globes. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_OPTIC_NERVE","SYSTEMATIC_NAME":"M34817","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000587","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000587","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the optic nerve","DESCRIPTION_FULL":"Abnormality of the optic nerve. [HPO:probinson]"}
{"STANDARD_NAME":"HP_OPTIC_NERVE_COLOBOMA","SYSTEMATIC_NAME":"M34818","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000588","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000588","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Optic nerve coloboma","DESCRIPTION_FULL":"A cleft of the optic nerve that extends inferiorly. [HPO:probinson, PMID:16219745]"}
{"STANDARD_NAME":"HP_COLOBOMA","SYSTEMATIC_NAME":"M34819","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000589","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000589","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Coloboma","DESCRIPTION_FULL":"A developmental defect characterized by a cleft of some portion of the eye or ocular adnexa. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PROGRESSIVE_EXTERNAL_OPHTHALMOPLEGIA","SYSTEMATIC_NAME":"M34820","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000590","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000590","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Progressive external ophthalmoplegia","DESCRIPTION_FULL":"Initial bilateral ptosis followed by limitation of eye movements in all directions and slowing of saccades. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_SCLERA_MORPHOLOGY","SYSTEMATIC_NAME":"M34821","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000591","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000591","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal sclera morphology","DESCRIPTION_FULL":"An abnormality of the sclera. [HPO:probinson]"}
{"STANDARD_NAME":"HP_BLUE_SCLERAE","SYSTEMATIC_NAME":"M34822","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000592","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000592","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Blue sclerae","DESCRIPTION_FULL":"An abnormal bluish coloration of the sclera. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_ANTERIOR_CHAMBER_MORPHOLOGY","SYSTEMATIC_NAME":"M34823","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000593","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000593","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal anterior chamber morphology","DESCRIPTION_FULL":"Abnormality of the anterior chamber, which is the space in the eye that is behind the cornea and in front of the iris. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SHALLOW_ANTERIOR_CHAMBER","SYSTEMATIC_NAME":"M34824","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000594","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000594","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Shallow anterior chamber","DESCRIPTION_FULL":"Reduced depth of the anterior chamber, i.e., the anteroposterior distance between the cornea and the iris is decreased. [HPO:probinson]"}
{"STANDARD_NAME":"HP_OPHTHALMOPARESIS","SYSTEMATIC_NAME":"M34825","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000597","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000597","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ophthalmoparesis","DESCRIPTION_FULL":"Ophthalmoplegia is a paralysis or weakness of one or more of the muscles that control eye movement. [HPO:curators]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_FRONTAL_HAIRLINE","SYSTEMATIC_NAME":"M34826","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000599","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000599","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the frontal hairline","DESCRIPTION_FULL":"An anomaly in the placement or shape of the hairline (trichion) on the forehead, that is, the border between skin on the forehead that has head hair and that does not. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_PHARYNX","SYSTEMATIC_NAME":"M34827","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000600","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000600","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the pharynx","DESCRIPTION_FULL":"An anomaly of the pharynx, i.e., of the tubular structure extending from the base of the skull superiorly to the esophageal inlet inferiorly. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPOTELORISM","SYSTEMATIC_NAME":"M34828","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000601","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000601","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypotelorism","DESCRIPTION_FULL":"Interpupillary distance less than 2 SD below the mean (alternatively, the appearance of an decreased interpupillary distance or closely spaced eyes). [HPO:probinson, PMID:19125427]"}
{"STANDARD_NAME":"HP_CENTRAL_SCOTOMA","SYSTEMATIC_NAME":"M34829","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000603","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000603","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Central scotoma","DESCRIPTION_FULL":"An area of depressed vision located at the point of fixation and that interferes with central vision. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SUPRANUCLEAR_GAZE_PALSY","SYSTEMATIC_NAME":"M34830","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000605","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000605","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Supranuclear gaze palsy","DESCRIPTION_FULL":"A supranuclear gaze palsy is an inability to look in a particular direction as a result of cerebral impairment. There is a loss of the voluntary aspect of eye movements, but, as the brainstem is still intact, all the reflex conjugate eye movements are normal. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_PERIORBITAL_REGION","SYSTEMATIC_NAME":"M34831","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000606","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000606","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the periorbital region","DESCRIPTION_FULL":"An abnormality of the region situated around the orbit of the eye. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MACULAR_DEGENERATION","SYSTEMATIC_NAME":"M34832","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000608","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000608","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Macular degeneration","DESCRIPTION_FULL":"A nonspecific term denoting degeneration of the retinal pigment epithelium and/or retinal photoreceptor cells of the macula lutea. [HPO:probinson, ORCID:0000-0003-0986-4123]"}
{"STANDARD_NAME":"HP_OPTIC_NERVE_HYPOPLASIA","SYSTEMATIC_NAME":"M34833","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000609","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000609","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Optic nerve hypoplasia","DESCRIPTION_FULL":"Underdevelopment of the optic nerve. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_CHOROID_MORPHOLOGY","SYSTEMATIC_NAME":"M34834","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000610","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000610","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal choroid morphology","DESCRIPTION_FULL":"Any structural abnormality of the choroid. [HPO:probinson]"}
{"STANDARD_NAME":"HP_IRIS_COLOBOMA","SYSTEMATIC_NAME":"M34835","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000612","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000612","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Iris coloboma","DESCRIPTION_FULL":"A coloboma of the iris. [HPO:probinson, PMID:19369671]"}
{"STANDARD_NAME":"HP_PHOTOPHOBIA","SYSTEMATIC_NAME":"M34836","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000613","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000613","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Photophobia","DESCRIPTION_FULL":"Excessive sensitivity to light with the sensation of discomfort or pain in the eyes due to exposure to bright light. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_NASOLACRIMAL_SYSTEM_MORPHOLOGY","SYSTEMATIC_NAME":"M34837","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000614","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000614","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal nasolacrimal system morphology","DESCRIPTION_FULL":"An abnormality of the nasolacrimal drainage system, which serves as a conduit for tear flow from the external eye to the nasal cavity. [DDD:ncarter]"}
{"STANDARD_NAME":"HP_ABNORMAL_PUPIL_MORPHOLOGY","SYSTEMATIC_NAME":"M34838","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000615","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000615","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal pupil morphology","DESCRIPTION_FULL":"An abnormality of the pupil. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MIOSIS","SYSTEMATIC_NAME":"M34839","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000616","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000616","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Miosis","DESCRIPTION_FULL":"Abnormal (non-physiological) constriction of the pupil. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_OCULAR_SMOOTH_PURSUIT","SYSTEMATIC_NAME":"M34840","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000617","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000617","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of ocular smooth pursuit","DESCRIPTION_FULL":"An abnormality of eye movement characterized by impaired smooth-pursuit eye movements. [HPO:probinson]"}
{"STANDARD_NAME":"HP_BLINDNESS","SYSTEMATIC_NAME":"M34841","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000618","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000618","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Blindness","DESCRIPTION_FULL":"Blindness is the condition of lacking visual perception defined as visual perception below 3/60 and/or a visual field of no greater than 10 degress in radius around central fixation. [DDD:gblack, PMID:28779882]"}
{"STANDARD_NAME":"HP_DACRYOCYSTITIS","SYSTEMATIC_NAME":"M34842","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000620","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000620","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Dacryocystitis","DESCRIPTION_FULL":"Inflammation of the nasolacrimal sac. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ENTROPION","SYSTEMATIC_NAME":"M34843","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000621","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000621","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Entropion","DESCRIPTION_FULL":"An abnormal inversion (turning inward) of the eyelid (usually the lower) towards the globe. Entropion is usually acquired as a result of involutional or cicatricial processes but may occasionally be congenital. [ORCID:0000-0003-0986-4123, PMID:19125427]"}
{"STANDARD_NAME":"HP_BLURRED_VISION","SYSTEMATIC_NAME":"M34844","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000622","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000622","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Blurred vision","DESCRIPTION_FULL":"Lack of sharpness of vision resulting in the inability to see fine detail. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SUPRANUCLEAR_OPHTHALMOPLEGIA","SYSTEMATIC_NAME":"M34845","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000623","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000623","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Supranuclear ophthalmoplegia","DESCRIPTION_FULL":"A vertical gaze palsy with inability to direct the gaze of the eyes downwards. [HPO:probinson, PMID:20629667]"}
{"STANDARD_NAME":"HP_POSTERIOR_EMBRYOTOXON","SYSTEMATIC_NAME":"M34846","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000627","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000627","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Posterior embryotoxon","DESCRIPTION_FULL":"A posterior embryotoxon is the presence of a prominent and anteriorly displaced line of Schwalbe. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PERIORBITAL_FULLNESS","SYSTEMATIC_NAME":"M34847","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000629","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000629","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Periorbital fullness","DESCRIPTION_FULL":"Increase in periorbital soft tissue. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_ABNORMAL_RETINAL_ARTERY_MORPHOLOGY","SYSTEMATIC_NAME":"M34848","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000630","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000630","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal retinal artery morphology"}
{"STANDARD_NAME":"HP_RETINAL_ARTERIAL_TORTUOSITY","SYSTEMATIC_NAME":"M34849","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000631","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000631","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Retinal arterial tortuosity","DESCRIPTION_FULL":"The presence of an increased number of twists and turns of the retinal artery. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LACRIMATION_ABNORMALITY","SYSTEMATIC_NAME":"M34850","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000632","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000632","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Lacrimation abnormality","DESCRIPTION_FULL":"Abnormality of tear production. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DECREASED_LACRIMATION","SYSTEMATIC_NAME":"M34851","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000633","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000633","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased lacrimation","DESCRIPTION_FULL":"Abnormally decreased lacrimation, that is, reduced ability to produce tears. [HPO:probinson]"}
{"STANDARD_NAME":"HP_BLUE_IRIDES","SYSTEMATIC_NAME":"M34852","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000635","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000635","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Blue irides","DESCRIPTION_FULL":"A markedly blue coloration of the iris. [HPO:probinson]"}
{"STANDARD_NAME":"HP_UPPER_EYELID_COLOBOMA","SYSTEMATIC_NAME":"M34853","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000636","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000636","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Upper eyelid coloboma","DESCRIPTION_FULL":"A short discontinuity of the margin of the upper eyelid. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LONG_PALPEBRAL_FISSURE","SYSTEMATIC_NAME":"M34854","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000637","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000637","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Long palpebral fissure","DESCRIPTION_FULL":"Distance between medial and lateral canthi is more than two standard deviations above the mean for age (objective); or, apparently increased length of the palpebral fissures. [PMID:19125427]"}
{"STANDARD_NAME":"HP_GAZE_EVOKED_NYSTAGMUS","SYSTEMATIC_NAME":"M34855","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000640","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000640","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Gaze-evoked nystagmus","DESCRIPTION_FULL":"Nystagmus made apparent by looking to the right or to the left. [HPO:curators]"}
{"STANDARD_NAME":"HP_DYSMETRIC_SACCADES","SYSTEMATIC_NAME":"M34856","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000641","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000641","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Dysmetric saccades","DESCRIPTION_FULL":"The controller signal for saccadic eye movements has two components: the pulse that moves the eye rapidly from one point to the next, and the step that holds the eye in the new position. When both the pulse and the step are not the correct size, a dysmetric refixation eye movement results. [HPO:probinson, PMID:572501]"}
{"STANDARD_NAME":"HP_RED_GREEN_DYSCHROMATOPSIA","SYSTEMATIC_NAME":"M34857","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000642","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000642","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Red-green dyschromatopsia","DESCRIPTION_FULL":"Difficulty with discriminating red and green hues. [DDD:gblack]"}
{"STANDARD_NAME":"HP_AMBLYOPIA","SYSTEMATIC_NAME":"M34858","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000646","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000646","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Amblyopia","DESCRIPTION_FULL":"Reduced visual acuity that is uncorrectable by lenses in the absence of detectable anatomic defects in the eye or visual pathways. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SCLEROCORNEA","SYSTEMATIC_NAME":"M34859","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000647","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000647","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Sclerocornea","DESCRIPTION_FULL":"A congenital anomaly in which a part or the whole of the cornea acquires the characteristics of sclera, resulting in clouding of the cornea. [HPO:probinson]"}
{"STANDARD_NAME":"HP_OPTIC_ATROPHY","SYSTEMATIC_NAME":"M41221","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000648","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000648","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Optic atrophy","DESCRIPTION_FULL":"Atrophy of the optic nerve. Optic atrophy results from the death of the retinal ganglion cell axons that comprise the optic nerve and manifesting as a pale optic nerve on fundoscopy. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_VISUAL_EVOKED_POTENTIALS","SYSTEMATIC_NAME":"M34860","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000649","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000649","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of visual evoked potentials","DESCRIPTION_FULL":"An anomaly of visually evoked potentials (VEP), which are electrical potentials, initiated by brief visual stimuli, which are recorded from the scalp overlying the visual cortex. [HPO:probinson, PMID:19826847]"}
{"STANDARD_NAME":"HP_DIPLOPIA","SYSTEMATIC_NAME":"M34861","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000651","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000651","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Diplopia","DESCRIPTION_FULL":"Diplopia is a condition in which a single object is perceived as two images, it is also known as double vision. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LOWER_EYELID_COLOBOMA","SYSTEMATIC_NAME":"M34862","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000652","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000652","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Lower eyelid coloboma","DESCRIPTION_FULL":"A short discontinuity of the margin of the lower eyelid. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SPARSE_EYELASHES","SYSTEMATIC_NAME":"M34863","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000653","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000653","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Sparse eyelashes","DESCRIPTION_FULL":"Decreased density/number of eyelashes. [PMID:19125427]"}
{"STANDARD_NAME":"HP_DECREASED_LIGHT_AND_DARK_ADAPTED_ELECTRORETINOGRAM_AMPLITUDE","SYSTEMATIC_NAME":"M34864","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000654","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000654","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased light- and dark-adapted electroretinogram amplitude","DESCRIPTION_FULL":"Descreased amplitude of eletrical response upon electroretinography. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ECTROPION","SYSTEMATIC_NAME":"M34865","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000656","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000656","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ectropion","DESCRIPTION_FULL":"An outward turning (eversion) or rotation of the eyelid margin. [PMID:19125427]"}
{"STANDARD_NAME":"HP_OCULOMOTOR_APRAXIA","SYSTEMATIC_NAME":"M34866","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000657","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000657","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Oculomotor apraxia","DESCRIPTION_FULL":"Ocular motor apraxia is a deficiency in voluntary, horizontal, lateral, fast eye movements (saccades) with retention of slow pursuit movements. The inability to follow objects visually is often compensated by head movements. There may be decreased smooth pursuit, and cancellation of the vestibulo-ocular reflex. [HPO:probinson, PMID:20615230]"}
{"STANDARD_NAME":"HP_EYELID_APRAXIA","SYSTEMATIC_NAME":"M34867","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000658","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000658","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Eyelid apraxia"}
{"STANDARD_NAME":"HP_PETERS_ANOMALY","SYSTEMATIC_NAME":"M34868","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000659","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000659","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Peters anomaly","DESCRIPTION_FULL":"A form of anterior segment dysgenesis in which abnormal cleavage of the anterior chamber occurs. Peters anomaly is characterized by central, paracentral, or complete corneal opacity. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LIPEMIA_RETINALIS","SYSTEMATIC_NAME":"M34869","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000660","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000660","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Lipemia retinalis","DESCRIPTION_FULL":"A creamy appearance of the retinal blood vessels that occurs when the concentration of lipids in the blood are extremely increased, with pale pink to milky white retinal vessels and altered pale reflexes from choroidal vasculature. [PMID:10379021, PMID:16120862]"}
{"STANDARD_NAME":"HP_NYCTALOPIA","SYSTEMATIC_NAME":"M34870","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000662","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000662","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Nyctalopia","DESCRIPTION_FULL":"Inability to see well at night or in poor light. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HORIZONTAL_NYSTAGMUS","SYSTEMATIC_NAME":"M34871","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000666","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000666","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Horizontal nystagmus","DESCRIPTION_FULL":"Nystagmus consisting of horizontal to-and-fro eye movements. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PHTHISIS_BULBI","SYSTEMATIC_NAME":"M34872","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000667","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000667","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Phthisis bulbi","DESCRIPTION_FULL":"Atrophy of the eyeball with blindness and decreased intraocular pressure due to end-stage intraocular disease. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPODONTIA","SYSTEMATIC_NAME":"M34873","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000668","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000668","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypodontia","DESCRIPTION_FULL":"A developmental anomaly characterized by a reduced number of teeth, whereby up to 6 teeth are missing. [HPO:ibailleulforestier]"}
{"STANDARD_NAME":"HP_CARIOUS_TEETH","SYSTEMATIC_NAME":"M34874","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000670","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000670","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Carious teeth","DESCRIPTION_FULL":"Caries is a multifactorial bacterial infection affecting the structure of the tooth. This term has been used to describe the presence of more than expected dental caries. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ANODONTIA","SYSTEMATIC_NAME":"M34875","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000674","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000674","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Anodontia","DESCRIPTION_FULL":"The congenital absence of all teeth. [HPO:ibailleulforestier]"}
{"STANDARD_NAME":"HP_MACRODONTIA_OF_PERMANENT_MAXILLARY_CENTRAL_INCISOR","SYSTEMATIC_NAME":"M41222","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000675","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000675","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Macrodontia of permanent maxillary central incisor","DESCRIPTION_FULL":"Increased size of the maxillary central secondary incisor tooth. [HPO:ibailleulforestier]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_INCISOR","SYSTEMATIC_NAME":"M34876","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000676","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000676","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the incisor","DESCRIPTION_FULL":"An abnormality of the Incisor tooth. [HPO:probinson]"}
{"STANDARD_NAME":"HP_OLIGODONTIA","SYSTEMATIC_NAME":"M34877","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000677","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000677","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Oligodontia","DESCRIPTION_FULL":"A developmental anomaly characterized by a reduced number of teeth, whereby more than 6 teeth are missing. [HPO:curators, PMID:19125428]"}
{"STANDARD_NAME":"HP_DENTAL_CROWDING","SYSTEMATIC_NAME":"M34878","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000678","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000678","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Dental crowding","DESCRIPTION_FULL":"Overlapping teeth within an alveolar ridge. [PMID:19125428]"}
{"STANDARD_NAME":"HP_DELAYED_ERUPTION_OF_PRIMARY_TEETH","SYSTEMATIC_NAME":"M34879","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000680","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000680","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Delayed eruption of primary teeth","DESCRIPTION_FULL":"Delayed tooth eruption affecting the primary dentition. [HPO:ibailleulforestier]"}
{"STANDARD_NAME":"HP_DELAYED_ERUPTION_OF_TEETH","SYSTEMATIC_NAME":"M34880","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000684","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000684","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Delayed eruption of teeth","DESCRIPTION_FULL":"Delayed tooth eruption, which can be defined as tooth eruption more than 2 SD beyond the mean eruption age. [HPO:ibailleulforestier, PMID:19125428]"}
{"STANDARD_NAME":"HP_HYPOPLASIA_OF_TEETH","SYSTEMATIC_NAME":"M34881","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000685","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000685","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypoplasia of teeth","DESCRIPTION_FULL":"Developmental hypoplasia of teeth. [HPO:ibailleulforestier]"}
{"STANDARD_NAME":"HP_WIDELY_SPACED_TEETH","SYSTEMATIC_NAME":"M34882","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000687","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000687","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Widely spaced teeth","DESCRIPTION_FULL":"Increased spaces (diastemata) between most of the teeth in the same dental arch. [PMID:19125428]"}
{"STANDARD_NAME":"HP_DENTAL_MALOCCLUSION","SYSTEMATIC_NAME":"M34883","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000689","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000689","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Dental malocclusion","DESCRIPTION_FULL":"Dental malocclusion refers to an abnormality of the occlusion, or alignment, of the teeth and the way the upper and lower teeth fit together, resulting in overcrowding of teeth or in abnormal bite patterns. [HPO:curators]"}
{"STANDARD_NAME":"HP_MICRODONTIA","SYSTEMATIC_NAME":"M34884","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000691","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000691","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Microdontia","DESCRIPTION_FULL":"Decreased size of the teeth, which can be defined as a mesiodistal tooth diameter (width) more than 2 SD below mean. Alternatively, an apparently decreased maximum width of tooth. [HPO:ibailleulforestier, PMID:19125428]"}
{"STANDARD_NAME":"HP_MISALIGNMENT_OF_TEETH","SYSTEMATIC_NAME":"M34885","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000692","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000692","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Misalignment of teeth","DESCRIPTION_FULL":"Abnormal alignment, positioning, or spacing of the teeth, i.e., misaligned teeth. [HPO:ibailleulforestier]"}
{"STANDARD_NAME":"HP_NATAL_TOOTH","SYSTEMATIC_NAME":"M34886","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000695","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000695","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Natal tooth","DESCRIPTION_FULL":"Erupted tooth or teeth at birth. [PMID:19125428]"}
{"STANDARD_NAME":"HP_DELAYED_ERUPTION_OF_PERMANENT_TEETH","SYSTEMATIC_NAME":"M34887","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000696","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000696","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Delayed eruption of permanent teeth","DESCRIPTION_FULL":"Delayed tooth eruption affecting the secondary dentition. [HPO:ibailleulforestier]"}
{"STANDARD_NAME":"HP_CONICAL_TOOTH","SYSTEMATIC_NAME":"M34888","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000698","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000698","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Conical tooth","DESCRIPTION_FULL":"An abnormal conical form of the teeth, that is, a tooth whose sides converge or taper together incisally. [HPO:ibailleulforestier]"}
{"STANDARD_NAME":"HP_DIASTEMA","SYSTEMATIC_NAME":"M34889","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000699","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000699","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Diastema","DESCRIPTION_FULL":"Increased space between two adjacent teeth in the same dental arch. [PMID:19125428]"}
{"STANDARD_NAME":"HP_PERIODONTITIS","SYSTEMATIC_NAME":"M34890","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000704","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000704","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Periodontitis","DESCRIPTION_FULL":"Inflammation of the periodontium. [HPO:ibailleulforestier]"}
{"STANDARD_NAME":"HP_AMELOGENESIS_IMPERFECTA","SYSTEMATIC_NAME":"M34891","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000705","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000705","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Amelogenesis imperfecta","DESCRIPTION_FULL":"A developmental dysplasia of the dental enamel. [HPO:ibailleulforestier, PMID:18499550]"}
{"STANDARD_NAME":"HP_UNERUPTED_TOOTH","SYSTEMATIC_NAME":"M34892","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000706","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000706","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Unerupted tooth","DESCRIPTION_FULL":"The presence of one or more embedded tooth germs which have failed to erupt. [HPO:ibailleulforestier]"}
{"STANDARD_NAME":"HP_PSYCHOSIS","SYSTEMATIC_NAME":"M34893","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000709","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000709","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Psychosis","DESCRIPTION_FULL":"A condition characterized by changes of personality and thought patterns often accompanied by hallucinations and delusional beliefs. [HPO:curators]"}
{"STANDARD_NAME":"HP_HYPERORALITY","SYSTEMATIC_NAME":"M41223","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000710","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000710","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hyperorality","DESCRIPTION_FULL":"A tendency or compulsion to examine objects by mouth. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_RESTLESSNESS","SYSTEMATIC_NAME":"M34894","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000711","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000711","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Restlessness","DESCRIPTION_FULL":"A state of unease characterized by diffuse motor activity or motion subject to limited control, nonproductive or disorganized behavior, and subjective distress. [PMID:28332736]"}
{"STANDARD_NAME":"HP_EMOTIONAL_LABILITY","SYSTEMATIC_NAME":"M34895","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000712","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000712","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Emotional lability","DESCRIPTION_FULL":"Unstable emotional experiences and frequent mood changes; emotions that are easily aroused, intense, and/or out of proportion to events and circumstances. [PMID:23902698]"}
{"STANDARD_NAME":"HP_DEPRESSIVITY","SYSTEMATIC_NAME":"M34896","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000716","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000716","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Depressivity","DESCRIPTION_FULL":"Frequent feelings of being down, miserable, and/or hopeless; difficulty recovering from such moods; pessimism about the future; pervasive shame; feeling of inferior self-worth; thoughts of suicide and suicidal behavior. [HPO:probinson, PMID:23902698]"}
{"STANDARD_NAME":"HP_AUTISM","SYSTEMATIC_NAME":"M34897","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000717","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000717","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Autism","DESCRIPTION_FULL":"Autism is a neurodevelopmental disorder characterized by impaired social interaction and communication, and by restricted and repetitive behavior. Autism begins in childhood. It is marked by the presence of markedly abnormal or impaired development in social interaction and communication and a markedly restricted repertoire of activity and interest. Manifestations of the disorder vary greatly depending on the developmental level and chronological age of the individual (DSM-IV). [DDD:hvfirth]"}
{"STANDARD_NAME":"HP_AGGRESSIVE_BEHAVIOR","SYSTEMATIC_NAME":"M34898","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000718","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000718","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aggressive behavior","DESCRIPTION_FULL":"Aggressive behavior can denote verbal aggression, physical aggression against objects, physical aggression against people, and may also include aggression towards oneself. [HPO:curators]"}
{"STANDARD_NAME":"HP_INAPPROPRIATE_BEHAVIOR","SYSTEMATIC_NAME":"M34899","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000719","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000719","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Inappropriate behavior"}
{"STANDARD_NAME":"HP_MOOD_SWINGS","SYSTEMATIC_NAME":"M34900","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000720","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000720","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Mood swings","DESCRIPTION_FULL":"An exaggeration of emotional affects such as laughing crying, or yawning beyond what the person feels. [HPO:curators]"}
{"STANDARD_NAME":"HP_OBSESSIVE_COMPULSIVE_BEHAVIOR","SYSTEMATIC_NAME":"M34901","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000722","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000722","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Obsessive-compulsive behavior","DESCRIPTION_FULL":"Recurrent obsessions or compulsions that are severe enough to be time consuming (i.e., they take more than 1 hour a day) or cause marked distress or significant impairment (DSM-IV). [HPO:probinson]"}
{"STANDARD_NAME":"HP_RESTRICTIVE_BEHAVIOR","SYSTEMATIC_NAME":"M34902","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000723","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000723","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Restrictive behavior","DESCRIPTION_FULL":"Behavior characterized by an abnormal limitation to few interests and activities. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PSYCHOTIC_EPISODES","SYSTEMATIC_NAME":"M34903","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000725","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000725","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Psychotic episodes"}
{"STANDARD_NAME":"HP_DEMENTIA","SYSTEMATIC_NAME":"M34904","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000726","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000726","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Dementia","DESCRIPTION_FULL":"A loss of global cognitive ability of sufficient amount to interfere with normal social or occupational function. Dementia represents a loss of previously present cognitive abilities, generally in adults, and can affect memory, thinking, language, judgment, and behavior. [HPO:probinson]"}
{"STANDARD_NAME":"HP_FRONTAL_LOBE_DEMENTIA","SYSTEMATIC_NAME":"M34905","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000727","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000727","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Frontal lobe dementia"}
{"STANDARD_NAME":"HP_AUTISTIC_BEHAVIOR","SYSTEMATIC_NAME":"M34906","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000729","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000729","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Autistic behavior","DESCRIPTION_FULL":"Persistent deficits in social interaction and communication and interaction as well as a markedly restricted repertoire of activity and interest as well as repetitive patterns of behavior. [HPO:probinson, PMID:28879490]"}
{"STANDARD_NAME":"HP_INFLEXIBLE_ADHERENCE_TO_ROUTINES_OR_RITUALS","SYSTEMATIC_NAME":"M41224","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000732","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000732","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Inflexible adherence to routines or rituals"}
{"STANDARD_NAME":"HP_STEREOTYPY","SYSTEMATIC_NAME":"M34907","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000733","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000733","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Stereotypy","DESCRIPTION_FULL":"A stereotypy is a repetitive, simple movement that can be voluntarily suppressed. Stereotypies are typically simple back-and-forth movements such as waving of flapping the hands or arms, and they do not involve complex sequences or movement fragments. Movement is often but not always rhythmic and may involve fingers, wrists, or more proximal portions of the upper extremity. The lower extremity is not typically involved. Stereotypies are more commonly bilateral than unilateral. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DISINHIBITION","SYSTEMATIC_NAME":"M34908","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000734","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000734","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Disinhibition","DESCRIPTION_FULL":"A lack of restraint manifested in several ways, including disregard for social conventions, impulsivity, and poor risk assessment. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_IMPAIRED_SOCIAL_INTERACTIONS","SYSTEMATIC_NAME":"M34909","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000735","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000735","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Impaired social interactions","DESCRIPTION_FULL":"Difficulty in social interactions related to an impairment of characteristics such as eye contact, smiling, appropriate facial expressions, and body postures and characterized by difficulty in forming peer relationships and forming friendships. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SHORT_ATTENTION_SPAN","SYSTEMATIC_NAME":"M34910","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000736","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000736","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Short attention span","DESCRIPTION_FULL":"Reduced attention span characterized by distractibility and impulsivity but not necessarily satisfying the diagnostic criteria for attention deficit hyperactivity disorder. [HPO:curators]"}
{"STANDARD_NAME":"HP_IRRITABILITY","SYSTEMATIC_NAME":"M34911","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000737","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000737","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Irritability"}
{"STANDARD_NAME":"HP_HALLUCINATIONS","SYSTEMATIC_NAME":"M34912","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000738","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000738","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hallucinations","DESCRIPTION_FULL":"Perceptions in a conscious and awake state in the absence of external stimuli which have qualities of real perception, in that they are vivid, substantial, and located in external objective space. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_SELF_MUTILATION","SYSTEMATIC_NAME":"M34913","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000742","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000742","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Self-mutilation"}
{"STANDARD_NAME":"HP_LOW_FRUSTRATION_TOLERANCE","SYSTEMATIC_NAME":"M34914","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000744","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000744","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Low frustration tolerance","DESCRIPTION_FULL":"The feeling of frustration can be defined as an emotional reaction that occurs if a desired goal is not achieved. Frustration intolerance is defined as an age-inappropriate response to frustration characterized by crying or temper tantrums (in children) or aggressive or other undesirable behaviors. [PMID:21461367]"}
{"STANDARD_NAME":"HP_DIMINISHED_MOTIVATION","SYSTEMATIC_NAME":"M34915","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000745","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000745","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Diminished motivation","DESCRIPTION_FULL":"A reduction in goal-directed behavior, that is, motivation, the determinant of behavior and adaptation that allows individuals to get started, be energized to perform a sustained and directed action. [HPO:probinson, PMID:16030444]"}
{"STANDARD_NAME":"HP_DELUSIONS","SYSTEMATIC_NAME":"M34916","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000746","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000746","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Delusions","DESCRIPTION_FULL":"A belief that is pathological and is held despite evidence to the contrary. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_INAPPROPRIATE_LAUGHTER","SYSTEMATIC_NAME":"M34917","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000748","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000748","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Inappropriate laughter"}
{"STANDARD_NAME":"HP_PAROXYSMAL_BURSTS_OF_LAUGHTER","SYSTEMATIC_NAME":"M34918","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000749","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000749","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Paroxysmal bursts of laughter"}
{"STANDARD_NAME":"HP_DELAYED_SPEECH_AND_LANGUAGE_DEVELOPMENT","SYSTEMATIC_NAME":"M34919","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000750","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000750","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Delayed speech and language development","DESCRIPTION_FULL":"A degree of language development that is significantly below the norm for a child of a specified age. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PERSONALITY_CHANGES","SYSTEMATIC_NAME":"M34920","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000751","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000751","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Personality changes","DESCRIPTION_FULL":"An abnormal shift in patterns of thinking, acting, or feeling. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPERACTIVITY","SYSTEMATIC_NAME":"M34921","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000752","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000752","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hyperactivity","DESCRIPTION_FULL":"Hyperactivity is a state of constantly being unusually or abnormally active, including in situations in which it is not appropriate. [ORCID:0000-0002-6713-2943]"}
{"STANDARD_NAME":"HP_LACK_OF_INSIGHT","SYSTEMATIC_NAME":"M34922","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000757","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000757","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Lack of insight"}
{"STANDARD_NAME":"HP_IMPAIRED_USE_OF_NONVERBAL_BEHAVIORS","SYSTEMATIC_NAME":"M41225","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000758","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000758","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Impaired use of nonverbal behaviors","DESCRIPTION_FULL":"Reduced ability to use nonverbal behavior for communication, such as eye-to-eye gaze, facial expression, body posture, and gestures. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_PERIPHERAL_NERVOUS_SYSTEM_MORPHOLOGY","SYSTEMATIC_NAME":"M34923","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000759","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000759","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal peripheral nervous system morphology","DESCRIPTION_FULL":"A structural abnormality of the peripheral nervous system, which is composed of the nerves that lead to or branch off from the central nervous system. This includes the cranial nerves (olfactory and optic nerves are technically part of the central nervous system). [HPO:probinson]"}
{"STANDARD_NAME":"HP_SENSORY_NEUROPATHY","SYSTEMATIC_NAME":"M34924","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000763","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000763","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Sensory neuropathy","DESCRIPTION_FULL":"Peripheral neuropathy affecting the sensory nerves. [HPO:curators]"}
{"STANDARD_NAME":"HP_PERIPHERAL_AXONAL_DEGENERATION","SYSTEMATIC_NAME":"M34925","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000764","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000764","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Peripheral axonal degeneration","DESCRIPTION_FULL":"Progressive deterioration of peripheral axons. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_THORAX_MORPHOLOGY","SYSTEMATIC_NAME":"M34926","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000765","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000765","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal thorax morphology","DESCRIPTION_FULL":"Any abnormality of the thorax (the region of the body formed by the sternum, the thoracic vertebrae and the ribs). [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_STERNUM_MORPHOLOGY","SYSTEMATIC_NAME":"M34927","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000766","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000766","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal sternum morphology","DESCRIPTION_FULL":"An anomaly of the sternum, also known as the breastbone. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PECTUS_EXCAVATUM","SYSTEMATIC_NAME":"M34928","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000767","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000767","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pectus excavatum","DESCRIPTION_FULL":"A defect of the chest wall characterized by a depression of the sternum, giving the chest (\\pectus\\) a caved-in (\\excavatum\\) appearance. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PECTUS_CARINATUM","SYSTEMATIC_NAME":"M34929","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000768","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000768","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pectus carinatum","DESCRIPTION_FULL":"A deformity of the chest caused by overgrowth of the ribs and characterized by protrusion of the sternum. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_BREAST","SYSTEMATIC_NAME":"M34930","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000769","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000769","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the breast","DESCRIPTION_FULL":"An abnormality of the breast. [HPO:probinson]"}
{"STANDARD_NAME":"HP_GYNECOMASTIA","SYSTEMATIC_NAME":"M34931","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000771","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000771","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Gynecomastia","DESCRIPTION_FULL":"Abnormal development of large mammary glands in males resulting in breast enlargement. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_RIBS","SYSTEMATIC_NAME":"M34932","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000772","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000772","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the ribs","DESCRIPTION_FULL":"An anomaly of the rib. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SHORT_RIBS","SYSTEMATIC_NAME":"M34933","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000773","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000773","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Short ribs","DESCRIPTION_FULL":"Reduced rib length. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_DIAPHRAGM","SYSTEMATIC_NAME":"M34934","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000775","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000775","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the diaphragm","DESCRIPTION_FULL":"Any abnormality of the diaphragm, the sheet of skeletal muscle that separates the thoracic cavity from the abdominal cavity. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CONGENITAL_DIAPHRAGMATIC_HERNIA","SYSTEMATIC_NAME":"M34935","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000776","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000776","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Congenital diaphragmatic hernia","DESCRIPTION_FULL":"The presence of a hernia of the diaphragm present at birth. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_THYMUS","SYSTEMATIC_NAME":"M34936","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000777","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000777","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the thymus","DESCRIPTION_FULL":"Abnormality of the thymus, an organ located in the upper anterior portion of the chest cavity just behind the sternum and whose main function is to provide an environment for T lymphocyte maturation. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_SCAPULA_MORPHOLOGY","SYSTEMATIC_NAME":"M34937","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000782","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000782","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal scapula morphology","DESCRIPTION_FULL":"Any abnormality of the scapula, also known as the shoulder blade. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PRIMARY_AMENORRHEA","SYSTEMATIC_NAME":"M34938","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000786","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000786","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Primary amenorrhea"}
{"STANDARD_NAME":"HP_NEPHROLITHIASIS","SYSTEMATIC_NAME":"M34939","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000787","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000787","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Nephrolithiasis","DESCRIPTION_FULL":"The presence of calculi (stones) in the kidneys. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INFERTILITY","SYSTEMATIC_NAME":"M34940","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000789","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000789","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Infertility"}
{"STANDARD_NAME":"HP_MEMBRANOPROLIFERATIVE_GLOMERULONEPHRITIS","SYSTEMATIC_NAME":"M34941","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000793","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000793","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Membranoproliferative glomerulonephritis","DESCRIPTION_FULL":"A type of glomerulonephritis characterized by diffuse mesangial cell proliferation and the thickening of capillary walls due to subendothelial extension of the mesangium. The term membranoproliferative glomerulonephritis is often employed to denote a general pattern of glomerular injury seen in a variety of disease processes that share a common pathogenetic mechanism, rather than to describe a single disease entity [PMID:19908070]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_URETHRA","SYSTEMATIC_NAME":"M34942","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000795","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000795","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the urethra","DESCRIPTION_FULL":"An abnormality of the urethra, i.e., of the tube which connects the urinary bladder to the outside of the body. [HPO:probinson]"}
{"STANDARD_NAME":"HP_URETHRAL_OBSTRUCTION","SYSTEMATIC_NAME":"M34943","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000796","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000796","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Urethral obstruction","DESCRIPTION_FULL":"Obstruction of the flow of urine through the urethra. [HPO:probinson]"}
{"STANDARD_NAME":"HP_OLIGOSPERMIA","SYSTEMATIC_NAME":"M34944","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000798","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000798","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Oligospermia","DESCRIPTION_FULL":"Reduced count of spermatozoa in the semen, defined as a sperm count below 20 million per milliliter semen. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RENAL_STEATOSIS","SYSTEMATIC_NAME":"M34945","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000799","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000799","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Renal steatosis","DESCRIPTION_FULL":"Abnormal fat accumulation in the kidneys. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CYSTIC_RENAL_DYSPLASIA","SYSTEMATIC_NAME":"M34946","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000800","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000800","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cystic renal dysplasia"}
{"STANDARD_NAME":"HP_IMPOTENCE","SYSTEMATIC_NAME":"M34947","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000802","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000802","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Impotence","DESCRIPTION_FULL":"Inability to develop or maintain an erection of the penis. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RENAL_CORTICAL_CYSTS","SYSTEMATIC_NAME":"M34948","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000803","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000803","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Renal cortical cysts","DESCRIPTION_FULL":"Cysts of the cortex of the kidney. [Eurenomics:fschaefer]"}
{"STANDARD_NAME":"HP_ENURESIS","SYSTEMATIC_NAME":"M34949","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000805","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000805","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Enuresis","DESCRIPTION_FULL":"Lack of the ability to control the urinary bladder leading to involuntary urination at an age where control of the bladder should already be possible. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_GLANDULAR_HYPOSPADIAS","SYSTEMATIC_NAME":"M34950","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000807","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000807","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Glandular hypospadias"}
{"STANDARD_NAME":"HP_PENOSCROTAL_HYPOSPADIAS","SYSTEMATIC_NAME":"M34951","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000808","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000808","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Penoscrotal hypospadias","DESCRIPTION_FULL":"A severe form of hypospadias in which the urethral opening is located at the junction of the penis and scrotum. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_EXTERNAL_GENITALIA","SYSTEMATIC_NAME":"M34952","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000811","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000811","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal external genitalia"}
{"STANDARD_NAME":"HP_ABNORMAL_INTERNAL_GENITALIA","SYSTEMATIC_NAME":"M34953","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000812","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000812","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal internal genitalia","DESCRIPTION_FULL":"An anomaly of the adnexa, uterus, and vagina (in female) or seminal tract and prostate (in male). [HPO:probinson]"}
{"STANDARD_NAME":"HP_BICORNUATE_UTERUS","SYSTEMATIC_NAME":"M34954","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000813","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000813","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Bicornuate uterus","DESCRIPTION_FULL":"The presence of a bicornuate uterus. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPERGONADOTROPIC_HYPOGONADISM","SYSTEMATIC_NAME":"M34955","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000815","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000815","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypergonadotropic hypogonadism","DESCRIPTION_FULL":"Reduced function of the gonads (testes in males or ovaries in females) associated with excess pituitary gonadotropin secretion and resulting in delayed sexual development and growth delay. [HPO:curators]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_KREBS_CYCLE_METABOLISM","SYSTEMATIC_NAME":"M34956","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000816","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000816","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of Krebs cycle metabolism","DESCRIPTION_FULL":"An abnormality of the tricarboxylic acid cycle. [HPO:probinson]"}
{"STANDARD_NAME":"HP_POOR_EYE_CONTACT","SYSTEMATIC_NAME":"M34957","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000817","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000817","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Poor eye contact","DESCRIPTION_FULL":"Difficulty in looking at another person in the eye. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_THYROID_GLAND","SYSTEMATIC_NAME":"M34959","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000820","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000820","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the thyroid gland","DESCRIPTION_FULL":"An abnormality of the thyroid gland. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DELAYED_PUBERTY","SYSTEMATIC_NAME":"M34960","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000823","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000823","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Delayed puberty","DESCRIPTION_FULL":"Passing the age when puberty normally occurs with no physical or hormonal signs of the onset of puberty. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPERINSULINEMIC_HYPOGLYCEMIA","SYSTEMATIC_NAME":"M34961","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000825","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000825","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hyperinsulinemic hypoglycemia","DESCRIPTION_FULL":"An increased concentration of insulin combined with a decreased concentration of glucose in the blood. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_PARATHYROID_GLAND","SYSTEMATIC_NAME":"M34962","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000828","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000828","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the parathyroid gland","DESCRIPTION_FULL":"An abnormality of the parathyroid gland. [HPO:curators]"}
{"STANDARD_NAME":"HP_HYPOPARATHYROIDISM","SYSTEMATIC_NAME":"M34963","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000829","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000829","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypoparathyroidism","DESCRIPTION_FULL":"A condition caused by a deficiency of parathyroid hormone characterized by hypocalcemia and hyperphosphatemia. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INSULIN_RESISTANT_DIABETES_MELLITUS","SYSTEMATIC_NAME":"M34964","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000831","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000831","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Insulin-resistant diabetes mellitus","DESCRIPTION_FULL":"A type of diabetes mellitus related not to lack of insulin but rather to lack of response to insulin on the part of the target tissues of insulin such as muscle, fat, and liver cells. This type of diabetes is typically associated with increases both in blood glucose concentrations as will as in fasting and postprandial serum insulin levels. [HPO:probinson, PMID:7706500]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_ADRENAL_GLANDS","SYSTEMATIC_NAME":"M34965","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000834","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000834","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the adrenal glands","DESCRIPTION_FULL":"Abnormality of the adrenal glands, i.e., of the endocrine glands located at the top of the kindneys. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ADRENAL_HYPOPLASIA","SYSTEMATIC_NAME":"M34966","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000835","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000835","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Adrenal hypoplasia","DESCRIPTION_FULL":"Developmental hypoplasia of the adrenal glands. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPERTHYROIDISM","SYSTEMATIC_NAME":"M34967","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000836","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000836","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hyperthyroidism","DESCRIPTION_FULL":"An abnormality of thyroid physiology characterized by excessive secretion of the thyroid hormones thyroxine (i.e., T4) and/or 3,3',5-triiodo-L-thyronine zwitterion (i.e., triiodothyronine or T3). [HPO:probinson]"}
{"STANDARD_NAME":"HP_INCREASED_CIRCULATING_GONADOTROPIN_LEVEL","SYSTEMATIC_NAME":"M34968","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000837","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000837","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased circulating gonadotropin level","DESCRIPTION_FULL":"Overproduction of gonadotropins (FSH, LH) by the anterior pituitary gland. [DDD:spark]"}
{"STANDARD_NAME":"HP_PITUITARY_DWARFISM","SYSTEMATIC_NAME":"M34969","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000839","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000839","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pituitary dwarfism","DESCRIPTION_FULL":"A type of reduced stature with normal proportions related to dysfunction of the pituitary gland related to either an isolated defect in the secretion of growth hormone or to panhypopituitarism, i.e., a deficit of all the anterior pituitary hormones. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ADRENOGENITAL_SYNDROME","SYSTEMATIC_NAME":"M34970","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000840","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000840","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Adrenogenital syndrome","DESCRIPTION_FULL":"Adrenogenital syndrome is also known as congenital adrenal hyperplasia, which results from disorders of steroid hormone production in the adrenal glands leading to a deficiency of cortisol. The pituitary gland reacts by increased secretion of corticotropin, which in turn causes the adrenal glands to overproduce certain intermediary hormones which have testosterone-like effects. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPERACTIVE_RENIN_ANGIOTENSIN_SYSTEM","SYSTEMATIC_NAME":"M34971","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000841","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000841","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hyperactive renin-angiotensin system","DESCRIPTION_FULL":"An abnormally increased activity of the renin-angiotensin system, causing hypertension by a combination of volume excess and vasoconstrictor mechanisms. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPERPARATHYROIDISM","SYSTEMATIC_NAME":"M34972","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000843","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000843","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hyperparathyroidism","DESCRIPTION_FULL":"Excessive production of parathyroid hormone (PTH) by the parathyroid glands. [HPO:probinson]"}
{"STANDARD_NAME":"HP_GROWTH_HORMONE_EXCESS","SYSTEMATIC_NAME":"M34973","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000845","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000845","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Growth hormone excess","DESCRIPTION_FULL":"Acromegaly is a condition resulting from overproduction of growth hormone by the pituitary gland in persons with closed epiphyses, and consists chiefly in the enlargement of the distal parts of the body. The circumference of the skull increases, the nose becomes broad, the tongue becomes enlarged, the facial features become coarsened, the mandible grows excessively, and the teeth become separated. The fingers and toes grow chiefly in thickness. [DDD:spark, HPO:probinson]"}
{"STANDARD_NAME":"HP_ADRENAL_INSUFFICIENCY","SYSTEMATIC_NAME":"M34974","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000846","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000846","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Adrenal insufficiency","DESCRIPTION_FULL":"Insufficient production of steroid hormones (primarily cortisol) by the adrenal glands. [HPO:probinson, PMID:11443143]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_RENIN_ANGIOTENSIN_SYSTEM","SYSTEMATIC_NAME":"M34975","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000847","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000847","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of renin-angiotensin system","DESCRIPTION_FULL":"An abnormality of the renin-angiotensin system. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INCREASED_CIRCULATING_RENIN_LEVEL","SYSTEMATIC_NAME":"M34976","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000848","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000848","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased circulating renin level","DESCRIPTION_FULL":"An increased level of renin in the blood. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ADRENOCORTICAL_ABNORMALITY","SYSTEMATIC_NAME":"M34977","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000849","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000849","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Adrenocortical abnormality"}
{"STANDARD_NAME":"HP_CONGENITAL_HYPOTHYROIDISM","SYSTEMATIC_NAME":"M34978","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000851","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000851","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Congenital hypothyroidism","DESCRIPTION_FULL":"A type of hypothyroidism with congenital onset. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PSEUDOHYPOPARATHYROIDISM","SYSTEMATIC_NAME":"M34979","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000852","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000852","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pseudohypoparathyroidism","DESCRIPTION_FULL":"A condition characterized by resistance to the action of parathyroid hormone, in which there is hypocalcemia, hyperphosphatemia, and (appropriately) high levels of parathyroid hormone. [HPO:probinson]"}
{"STANDARD_NAME":"HP_GOITER","SYSTEMATIC_NAME":"M34980","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000853","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000853","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Goiter","DESCRIPTION_FULL":"An enlargement of the thyroid gland. [HPO:probinson]"}
{"STANDARD_NAME":"HP_THYROID_ADENOMA","SYSTEMATIC_NAME":"M34981","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000854","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000854","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Thyroid adenoma","DESCRIPTION_FULL":"The presence of a adenoma of the thyroid gland. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INSULIN_RESISTANCE","SYSTEMATIC_NAME":"M34982","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000855","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000855","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Insulin resistance","DESCRIPTION_FULL":"Increased resistance towards insulin, that is, diminished effectiveness of insulin in reducing blood glucose levels. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NEONATAL_INSULIN_DEPENDENT_DIABETES_MELLITUS","SYSTEMATIC_NAME":"M34983","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000857","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000857","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neonatal insulin-dependent diabetes mellitus"}
{"STANDARD_NAME":"HP_IRREGULAR_MENSTRUATION","SYSTEMATIC_NAME":"M34984","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000858","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000858","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Irregular menstruation","DESCRIPTION_FULL":"Abnormally high variation in the amount of time between periods. [PMID:29323693]"}
{"STANDARD_NAME":"HP_HYPERALDOSTERONISM","SYSTEMATIC_NAME":"M34985","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000859","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000859","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hyperaldosteronism","DESCRIPTION_FULL":"Overproduction of the mineralocorticoid aldosterone by the adrenal cortex. [DDD:spark, HPO:probinson]"}
{"STANDARD_NAME":"HP_CENTRAL_DIABETES_INSIPIDUS","SYSTEMATIC_NAME":"M34986","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000863","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000863","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Central diabetes insipidus","DESCRIPTION_FULL":"A form of diabetes insipidus related to a failure of vasopressin (AVP) release from the hypothalamus. [HPO:curators]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_HYPOTHALAMUS_PITUITARY_AXIS","SYSTEMATIC_NAME":"M34987","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000864","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000864","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the hypothalamus-pituitary axis","DESCRIPTION_FULL":"Abnormality of the pituitary gland (also known as hypophysis), which is an endocrine gland that protrudes from the bottom of the hypothalamus at the base of the brain. The pituitary gland secretes the hormones ACTH, TSH, PRL, GH, endorphins, FSH, LH, oxytocin, and antidiuretic hormone. The secretion of hormones from the anterior pituitary is under the strict control of hypothalamic hormones, and the posterior pituitary is essentially an extension of the hypothalamus, so that hypothalamus and pituitary gland may be regarded as a functional unit. [DDD:spark]"}
{"STANDARD_NAME":"HP_DECREASED_FERTILITY_IN_FEMALES","SYSTEMATIC_NAME":"M34988","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000868","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000868","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased fertility in females"}
{"STANDARD_NAME":"HP_SECONDARY_AMENORRHEA","SYSTEMATIC_NAME":"M34989","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000869","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000869","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Secondary amenorrhea"}
{"STANDARD_NAME":"HP_INCREASED_CIRCULATING_PROLACTIN_CONCENTRATION","SYSTEMATIC_NAME":"M34990","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000870","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000870","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased circulating prolactin concentration","DESCRIPTION_FULL":"The presence of abnormally increased levels of prolactin in the blood. Prolactin is a peptide hormone produced by the anterior pituitary gland that plays a role in breast development and lactation during pregnancy. [DDD:spark, HPO:probinson]"}
{"STANDARD_NAME":"HP_PANHYPOPITUITARISM","SYSTEMATIC_NAME":"M34991","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000871","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000871","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Panhypopituitarism","DESCRIPTION_FULL":"A pituitary functional deficit affecting all the anterior pituitary hormones (growth hormone, thyroid-stimulating hormone, follicle-stimulating hormone, luteinizing hormone, adrenocorticotropic hormone, and prolactin). [HPO:probinson, PMID:12466332]"}
{"STANDARD_NAME":"HP_HASHIMOTO_THYROIDITIS","SYSTEMATIC_NAME":"M34992","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000872","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000872","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hashimoto thyroiditis","DESCRIPTION_FULL":"A chronic, autoimmune type of thyroiditis associated with hypothyroidism. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DIABETES_INSIPIDUS","SYSTEMATIC_NAME":"M34993","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000873","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000873","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Diabetes insipidus","DESCRIPTION_FULL":"A state of excessive water intake and hypotonic (dilute) polyuria. Diabetes insipidus may be due to failure of vasopressin (AVP) release (central or neurogenic diabetes insipidus) or to a failure of the kidney to respond to AVP (nephrogenic diabetes insipidus). [HPO:curators]"}
{"STANDARD_NAME":"HP_EPISODIC_HYPERTENSION","SYSTEMATIC_NAME":"M34994","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000875","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000875","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Episodic hypertension"}
{"STANDARD_NAME":"HP_OLIGOMENORRHEA","SYSTEMATIC_NAME":"M34995","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000876","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000876","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Oligomenorrhea","DESCRIPTION_FULL":"Infrequent menses (less than 6 per year or more than 35 days between cycles). [HPO:probinson, PMID:22594864]"}
{"STANDARD_NAME":"HP_11_PAIRS_OF_RIBS","SYSTEMATIC_NAME":"M34997","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000878","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000878","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"11 pairs of ribs","DESCRIPTION_FULL":"Presence of only 11 pairs of ribs. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SHORT_STERNUM","SYSTEMATIC_NAME":"M34998","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000879","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000879","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Short sternum","DESCRIPTION_FULL":"Decreased inferosuperior length of the sternum. [HPO:probinson]"}
{"STANDARD_NAME":"HP_THIN_RIBS","SYSTEMATIC_NAME":"M34999","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000883","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000883","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Thin ribs","DESCRIPTION_FULL":"Ribs with a reduced diameter. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PROMINENT_STERNUM","SYSTEMATIC_NAME":"M35000","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000884","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000884","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Prominent sternum"}
{"STANDARD_NAME":"HP_BROAD_RIBS","SYSTEMATIC_NAME":"M35001","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000885","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000885","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Broad ribs","DESCRIPTION_FULL":"Increased width of ribs [HPO:probinson]"}
{"STANDARD_NAME":"HP_DEFORMED_RIB_CAGE","SYSTEMATIC_NAME":"M41226","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000886","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000886","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Deformed rib cage","DESCRIPTION_FULL":"Malformation of the rib cage. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CUPPED_RIBS","SYSTEMATIC_NAME":"M35002","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000887","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000887","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cupped ribs","DESCRIPTION_FULL":"Wide, concave rib end. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HORIZONTAL_RIBS","SYSTEMATIC_NAME":"M35003","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000888","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000888","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Horizontal ribs","DESCRIPTION_FULL":"A horizontal (flat) conformation of the ribs, the long curved bones that form the rib cage and normally progressively oblique (slanted) from ribs 1 through 9, then less slanted through rib 12. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_CLAVICLE_MORPHOLOGY","SYSTEMATIC_NAME":"M35004","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000889","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000889","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal clavicle morphology","DESCRIPTION_FULL":"Any abnormality of the clavicles (collar bones). [HPO:probinson]"}
{"STANDARD_NAME":"HP_LONG_CLAVICLES","SYSTEMATIC_NAME":"M35005","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000890","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000890","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Long clavicles","DESCRIPTION_FULL":"Increased length of the clavicles. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CERVICAL_RIBS","SYSTEMATIC_NAME":"M35006","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000891","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000891","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cervical ribs"}
{"STANDARD_NAME":"HP_BIFID_RIBS","SYSTEMATIC_NAME":"M35007","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000892","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000892","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Bifid ribs","DESCRIPTION_FULL":"A bifid rib refers to cleavage of the sternal end of a rib, usually unilateral. Bifid ribs are usually asymptomatic, and are often discovered incidentally by chest x-ray. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SHORT_CLAVICLES","SYSTEMATIC_NAME":"M35008","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000894","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000894","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Short clavicles","DESCRIPTION_FULL":"Reduced length of the clavicles. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LATERAL_CLAVICLE_HOOK","SYSTEMATIC_NAME":"M35009","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000895","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000895","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Lateral clavicle hook","DESCRIPTION_FULL":"An excessive upward convexity of the lateral clavicle. [HPO:probinson, PMID:7322653]"}
{"STANDARD_NAME":"HP_RACHITIC_ROSARY","SYSTEMATIC_NAME":"M35010","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000897","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000897","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Rachitic rosary","DESCRIPTION_FULL":"A row of beadlike prominences at the junction of a rib and its cartilage (i.e., enlarged costochondral joints), resembling a rosary. [HPO:probinson, PMID:26745253]"}
{"STANDARD_NAME":"HP_THICKENED_RIBS","SYSTEMATIC_NAME":"M35011","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000900","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000900","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Thickened ribs","DESCRIPTION_FULL":"Increased thickness (diameter) of ribs. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RIB_FUSION","SYSTEMATIC_NAME":"M35012","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000902","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000902","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Rib fusion","DESCRIPTION_FULL":"Complete or partial merging of adjacent ribs. [HPO:probinson]"}
{"STANDARD_NAME":"HP_FLARING_OF_RIB_CAGE","SYSTEMATIC_NAME":"M35013","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000904","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000904","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Flaring of rib cage","DESCRIPTION_FULL":"The presence of wide, concave anterior rib ends. [HPO:curators]"}
{"STANDARD_NAME":"HP_ANTERIOR_RIB_CUPPING","SYSTEMATIC_NAME":"M35014","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000907","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000907","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Anterior rib cupping","DESCRIPTION_FULL":"Wide, concave anterior rib end. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SPRENGEL_ANOMALY","SYSTEMATIC_NAME":"M35015","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000912","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000912","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Sprengel anomaly","DESCRIPTION_FULL":"A congenital skeletal deformity characterized by the elevation of one scapula (thus, one scapula is located superior to the other). [HPO:probinson]"}
{"STANDARD_NAME":"HP_SHIELD_CHEST","SYSTEMATIC_NAME":"M35016","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000914","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000914","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Shield chest","DESCRIPTION_FULL":"A broad chest. [HPO:probinson, PMID:22368597]"}
{"STANDARD_NAME":"HP_PECTUS_EXCAVATUM_OF_INFERIOR_STERNUM","SYSTEMATIC_NAME":"M35017","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000915","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000915","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pectus excavatum of inferior sternum","DESCRIPTION_FULL":"Pectus excavatum (defect of the chest wall characterized by depression of the sternum) affecting primarily the inferior region of the sternum. [HPO:probinson]"}
{"STANDARD_NAME":"HP_BROAD_CLAVICLES","SYSTEMATIC_NAME":"M35018","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000916","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000916","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Broad clavicles","DESCRIPTION_FULL":"Increased width (cross-sectional diameter) of the clavicles. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_COSTOCHONDRAL_JUNCTION","SYSTEMATIC_NAME":"M35019","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000919","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000919","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the costochondral junction","DESCRIPTION_FULL":"Any anomaly of the costochondral junction. The costochondral junctions are located between the distal part of the ribs and the costal cartilages, which are bars of hyaline cartilage that connect the ribs to the sternum. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ENLARGEMENT_OF_THE_COSTOCHONDRAL_JUNCTION","SYSTEMATIC_NAME":"M35020","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000920","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000920","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Enlargement of the costochondral junction","DESCRIPTION_FULL":"Abnormally increased size of the costochondral junctions, which are located between the distal part of the ribs and the costal cartilages, which are bars of hyaline cartilage that connect the ribs to the sternum. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MISSING_RIBS","SYSTEMATIC_NAME":"M35021","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000921","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000921","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Missing ribs","DESCRIPTION_FULL":"A developmental anomaly with absence of one or more ribs. [HPO:probinson]"}
{"STANDARD_NAME":"HP_POSTERIOR_RIB_CUPPING","SYSTEMATIC_NAME":"M35022","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000922","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000922","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Posterior rib cupping","DESCRIPTION_FULL":"Wide, concave posterior rib end. [HPO:probinson]"}
{"STANDARD_NAME":"HP_BEADED_RIBS","SYSTEMATIC_NAME":"M35023","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000923","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000923","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Beaded ribs","DESCRIPTION_FULL":"The presence of a row of multiple rounded expansions (beadlike prominences) at the junction of a rib and its cartilage. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PLATYSPONDYLY","SYSTEMATIC_NAME":"M35024","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000926","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000926","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Platyspondyly","DESCRIPTION_FULL":"A flattened vertebral body shape with reduced distance between the vertebral endplates. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_SKELETAL_MATURATION","SYSTEMATIC_NAME":"M35025","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000927","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000927","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of skeletal maturation","DESCRIPTION_FULL":"The bones of the skeleton undergo a series of characteristic changes in size, shape, and calcification from fetal life until puberty. An abnormality of this process can include delayed or accelerated skeletal maturation, or deviation of some, but not all bones from the expected patterns of maturation. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CHONDROCALCINOSIS","SYSTEMATIC_NAME":"M35026","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000934","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000934","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Chondrocalcinosis","DESCRIPTION_FULL":"Radiographic evidence of articular calcification that represent calcium pyrophosphate depositions in soft tissue surrounding joints and at the insertions of tendons near joints (Entheses/Sharpey fibers) . [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_THICKENED_CORTEX_OF_LONG_BONES","SYSTEMATIC_NAME":"M35027","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000935","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000935","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Thickened cortex of long bones","DESCRIPTION_FULL":"Abnormal thickening of the cortex of long bones. [HPO:curators]"}
{"STANDARD_NAME":"HP_OSTEOPENIA","SYSTEMATIC_NAME":"M35028","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000938","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000938","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Osteopenia","DESCRIPTION_FULL":"Osteopenia is a term to define bone density that is not normal but also not as low as osteoporosis. By definition from the World Health Organization osteopenia is defined by bone densitometry as a T score -1 to -2.5. [HPO:probinson, PMID:21234807]"}
{"STANDARD_NAME":"HP_OSTEOPOROSIS","SYSTEMATIC_NAME":"M35029","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000939","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000939","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Osteoporosis","DESCRIPTION_FULL":"Osteoporosis is a systemic skeletal disease characterized by low bone density and microarchitectural deterioration of bone tissue with a consequent increase in bone fragility. According to the WHO criteria, osteoporosis is defined as a BMD that lies 2.5 standard deviations or more below the average value for young healthy adults (a T-score below -2.5 SD). [HPO:probinson, PMID:28293453]"}
{"STANDARD_NAME":"HP_ABNORMAL_DIAPHYSIS_MORPHOLOGY","SYSTEMATIC_NAME":"M35030","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000940","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000940","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal diaphysis morphology","DESCRIPTION_FULL":"An abnormality of the structure or form of the diaphysis, i.e., of the main or mid-section (shaft) of a long bone. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DYSOSTOSIS_MULTIPLEX","SYSTEMATIC_NAME":"M35031","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000943","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000943","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Dysostosis multiplex"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_METAPHYSIS","SYSTEMATIC_NAME":"M35032","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000944","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000944","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the metaphysis","DESCRIPTION_FULL":"An abnormality of one or more metaphysis, i.e., of the somewhat wider portion of a long bone that is adjacent to the epiphyseal growth plate and grows during childhood. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPOPLASTIC_ILIA","SYSTEMATIC_NAME":"M35033","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000946","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000946","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypoplastic ilia","DESCRIPTION_FULL":"Underdevelopment of the ilium. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DUMBBELL_SHAPED_LONG_BONE","SYSTEMATIC_NAME":"M35034","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000947","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000947","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Dumbbell-shaped long bone","DESCRIPTION_FULL":"An abnormal appearance of the long bones with resemblance to a dumbbell, a short bar with a weight at each end. That is, the long bone is shortened and displays flaring (widening) of the metaphyses. [HPO:probinson]"}
{"STANDARD_NAME":"HP_JAUNDICE","SYSTEMATIC_NAME":"M35035","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000952","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000952","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Jaundice","DESCRIPTION_FULL":"Yellow pigmentation of the skin due to bilirubin, which in turn is the result of increased bilirubin concentration in the bloodstream. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPERPIGMENTATION_OF_THE_SKIN","SYSTEMATIC_NAME":"M35036","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000953","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000953","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hyperpigmentation of the skin","DESCRIPTION_FULL":"A darkening of the skin related to an increase in melanin production and deposition. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SINGLE_TRANSVERSE_PALMAR_CREASE","SYSTEMATIC_NAME":"M35037","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000954","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000954","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Single transverse palmar crease","DESCRIPTION_FULL":"The distal and proximal transverse palmar creases are merged into a single transverse palmar crease. [HPO:probinson, PMID:19125433]"}
{"STANDARD_NAME":"HP_ACANTHOSIS_NIGRICANS","SYSTEMATIC_NAME":"M35038","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000956","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000956","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Acanthosis nigricans","DESCRIPTION_FULL":"A dermatosis characterized by thickened, hyperpigmented plaques, typically on the intertriginous surfaces and neck. [DDD:cmoss, PMID:19061584]"}
{"STANDARD_NAME":"HP_CAFE_AU_LAIT_SPOT","SYSTEMATIC_NAME":"M35039","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000957","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000957","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cafe-au-lait spot","DESCRIPTION_FULL":"Cafe-au-lait spots are hyperpigmented lesions that can vary in color from light brown to dark brown with smooth borders and having a size of 1.5 cm or more in adults and 0.5 cm or more in children. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DRY_SKIN","SYSTEMATIC_NAME":"M35040","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000958","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000958","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Dry skin","DESCRIPTION_FULL":"Skin characterized by the lack of natural or normal moisture. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CYANOSIS","SYSTEMATIC_NAME":"M35041","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000961","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000961","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cyanosis","DESCRIPTION_FULL":"Bluish discoloration of the skin and mucosa due to poor circulation or inadequate oxygenation of arterial or capillary blood. [PMID:25658213]"}
{"STANDARD_NAME":"HP_HYPERKERATOSIS","SYSTEMATIC_NAME":"M35042","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000962","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000962","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hyperkeratosis","DESCRIPTION_FULL":"Hyperkeratosis is thickening of the outer layer of the skin, the stratum corneum, which is composed of large, polyhedral, plate-like envelopes filled with keratin which are the dead cells that have migrated up from the stratum granulosum. [HPO:probinson]"}
{"STANDARD_NAME":"HP_THIN_SKIN","SYSTEMATIC_NAME":"M35043","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000963","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000963","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Thin skin","DESCRIPTION_FULL":"Reduction in thickness of the skin, generally associated with a loss of suppleness and elasticity of the skin. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ECZEMA","SYSTEMATIC_NAME":"M35044","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000964","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000964","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Eczema","DESCRIPTION_FULL":"Eczema is a form of dermatitis. The term eczema is broadly applied to a range of persistent skin conditions and can be related to a number of underlying conditions. Manifestations of eczema can include dryness and recurring skin rashes with redness, skin edema, itching and dryness, crusting, flaking, blistering, cracking, oozing, or bleeding. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CUTIS_MARMORATA","SYSTEMATIC_NAME":"M35045","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000965","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000965","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cutis marmorata","DESCRIPTION_FULL":"A reticular discoloration of the skin with cyanotic (reddish-blue appearing) areas surrounding pale central areas due to dilation of capillary blood vessels and stagnation of blood within the vessels. Cutis marmorata generally occurs on the legs, arms and trunk and is often more severe in cold weather. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_HYPOHIDROSIS","SYSTEMATIC_NAME":"M35046","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000966","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000966","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypohidrosis","DESCRIPTION_FULL":"Abnormally diminished capacity to sweat. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PETECHIAE","SYSTEMATIC_NAME":"M35047","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000967","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000967","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Petechiae","DESCRIPTION_FULL":"Petechiae are pinpoint-sized reddish/purple spots, resembling a rash, that appear just under the skin or a mucous membrane when capillaries have ruptured and some superficial bleeding into the skin has happened. This term refers to an abnormally increased susceptibility to developing petechiae. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ECTODERMAL_DYSPLASIA","SYSTEMATIC_NAME":"M35048","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000968","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000968","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ectodermal dysplasia","DESCRIPTION_FULL":"Ectodermal dysplasia is a group of conditions in which there is abnormal development of the skin, hair, nails, teeth, or sweat glands. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ANHIDROSIS","SYSTEMATIC_NAME":"M35049","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000970","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000970","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Anhidrosis","DESCRIPTION_FULL":"Inability to sweat. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_SWEAT_GLAND_MORPHOLOGY","SYSTEMATIC_NAME":"M35050","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000971","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000971","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal sweat gland morphology","DESCRIPTION_FULL":"Any structural abnormality of the sweat gland. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CUTIS_LAXA","SYSTEMATIC_NAME":"M35051","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000973","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000973","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cutis laxa","DESCRIPTION_FULL":"Wrinkled, redundant, inelastic and sagging skin. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPEREXTENSIBLE_SKIN","SYSTEMATIC_NAME":"M35052","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000974","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000974","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hyperextensible skin","DESCRIPTION_FULL":"A condition in which the skin can be stretched beyond normal, and then returns to its initial position. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_HYPERHIDROSIS","SYSTEMATIC_NAME":"M35053","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000975","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000975","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hyperhidrosis","DESCRIPTION_FULL":"Abnormal excessive perspiration (sweating) despite the lack of appropriate stimuli like hot and humid weather. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ECZEMATOID_DERMATITIS","SYSTEMATIC_NAME":"M35054","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000976","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000976","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Eczematoid dermatitis"}
{"STANDARD_NAME":"HP_SOFT_SKIN","SYSTEMATIC_NAME":"M35055","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000977","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000977","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Soft skin","DESCRIPTION_FULL":"Subjective impression of increased softness upon palpitation of the skin. [HPO:probinson]"}
{"STANDARD_NAME":"HP_BRUISING_SUSCEPTIBILITY","SYSTEMATIC_NAME":"M35056","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000978","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000978","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Bruising susceptibility","DESCRIPTION_FULL":"An ecchymosis (bruise) refers to the skin discoloration caused by the escape of blood into the tissues from ruptured blood vessels. This term refers to an abnormally increased susceptibility to bruising. The corresponding phenotypic abnormality is generally elicited on medical history as a report of frequent ecchymoses or bruising without adequate trauma. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PURPURA","SYSTEMATIC_NAME":"M35057","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000979","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000979","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Purpura","DESCRIPTION_FULL":"Purpura (from Latin: purpura, meaning \\purple\\) is the appearance of red or purple discolorations on the skin that do not blanch on applying pressure. They are caused by bleeding underneath the skin. This term refers to an abnormally increased susceptibility to developing purpura. Purpura are larger than petechiae. [HPO:probinson, PMID:11515831]"}
{"STANDARD_NAME":"HP_PALLOR","SYSTEMATIC_NAME":"M35058","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000980","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000980","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pallor","DESCRIPTION_FULL":"Abnormally pale skin. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PALMOPLANTAR_KERATODERMA","SYSTEMATIC_NAME":"M35059","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000982","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000982","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Palmoplantar keratoderma","DESCRIPTION_FULL":"Abnormal thickening of the skin of the palms of the hands and the soles of the feet. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SKIN_RASH","SYSTEMATIC_NAME":"M35060","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000988","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000988","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Skin rash","DESCRIPTION_FULL":"A red eruption of the skin. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PRURITUS","SYSTEMATIC_NAME":"M35061","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000989","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000989","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pruritus","DESCRIPTION_FULL":"Pruritus is an itch or a sensation that makes a person want to scratch. This term refers to an abnormally increased disposition to experience pruritus. [HPO:probinson]"}
{"STANDARD_NAME":"HP_XANTHOMATOSIS","SYSTEMATIC_NAME":"M35062","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000991","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000991","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Xanthomatosis","DESCRIPTION_FULL":"The presence of multiple xanthomas (xanthomata) in the skin. Xanthomas are yellowish, firm, lipid-laden nodules in the skin. [HPO:curators]"}
{"STANDARD_NAME":"HP_CUTANEOUS_PHOTOSENSITIVITY","SYSTEMATIC_NAME":"M35063","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000992","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000992","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cutaneous photosensitivity","DESCRIPTION_FULL":"An increased sensitivity of the skin to light. Photosensitivity may result in a rash upon exposure to the sun (which is known as photodermatosis). Photosensitivity can be diagnosed by phototests in which light is shone on small areas of skin. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MOLLUSCOID_PSEUDOTUMORS","SYSTEMATIC_NAME":"M35064","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000993","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000993","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Molluscoid pseudotumors","DESCRIPTION_FULL":"Bluish-grey, spongy nodules associated with scars over pressure points and easily traumatized areas like the elbows and knees. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MELANOCYTIC_NEVUS","SYSTEMATIC_NAME":"M35065","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000995","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000995","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Melanocytic nevus","DESCRIPTION_FULL":"A oval and round, colored (usually medium-to dark brown, reddish brown, or flesh colored) lesion. Typically, a melanocytic nevus is less than 6 mm in diameter, but may be much smaller or larger. [HPO:probinson]"}
{"STANDARD_NAME":"HP_FACIAL_CAPILLARY_HEMANGIOMA","SYSTEMATIC_NAME":"M35066","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000996","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000996","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Facial capillary hemangioma","DESCRIPTION_FULL":"Hemangioma, a benign tumor of the vascular endothelial cells with small endothelial spaces, occurring in the face. []"}
{"STANDARD_NAME":"HP_HYPERTRICHOSIS","SYSTEMATIC_NAME":"M35068","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000998","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000998","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypertrichosis","DESCRIPTION_FULL":"Hypertrichosis is increased hair growth that is abnormal in quantity or location. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PYODERMA","SYSTEMATIC_NAME":"M41227","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0000999","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0000999","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pyoderma","DESCRIPTION_FULL":"Any manifestation of a skin disease associated with the production of pus. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_SKIN_PIGMENTATION","SYSTEMATIC_NAME":"M35069","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001000","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001000","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of skin pigmentation","DESCRIPTION_FULL":"An abnormality of the pigmentation of the skin. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_SUBCUTANEOUS_FAT_TISSUE","SYSTEMATIC_NAME":"M35070","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001001","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001001","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of subcutaneous fat tissue"}
{"STANDARD_NAME":"HP_MULTIPLE_LENTIGINES","SYSTEMATIC_NAME":"M35071","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001003","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001003","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Multiple lentigines","DESCRIPTION_FULL":"Presence of an unusually high number of lentigines (singular: lentigo), which are flat, tan to brown oval spots. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LYMPHEDEMA","SYSTEMATIC_NAME":"M35072","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001004","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001004","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Lymphedema","DESCRIPTION_FULL":"Localized fluid retention and tissue swelling caused by a compromised lymphatic system. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_DERMATOLOGICAL_MANIFESTATIONS_OF_SYSTEMIC_DISORDERS","SYSTEMATIC_NAME":"M35073","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001005","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001005","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Dermatological manifestations of systemic disorders"}
{"STANDARD_NAME":"HP_HIRSUTISM","SYSTEMATIC_NAME":"M35074","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001007","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001007","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hirsutism","DESCRIPTION_FULL":"Abnormally increased hair growth referring to a male pattern of body hair (androgenic hair). [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_TELANGIECTASIA","SYSTEMATIC_NAME":"M35075","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001009","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001009","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Telangiectasia","DESCRIPTION_FULL":"Telangiectasias refer to small dilated blood vessels located near the surface of the skin or mucous membranes, measuring between 0.5 and 1 millimeter in diameter. Telangiectasia are located especially on the tongue, lips, palate, fingers, face, conjunctiva, trunk, nail beds, and fingertips. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPOPIGMENTATION_OF_THE_SKIN","SYSTEMATIC_NAME":"M35076","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001010","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001010","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypopigmentation of the skin","DESCRIPTION_FULL":"A reduction of skin color related to a decrease in melanin production and deposition. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MULTIPLE_LIPOMAS","SYSTEMATIC_NAME":"M35077","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001012","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001012","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Multiple lipomas","DESCRIPTION_FULL":"The presence of multiple lipomas (a type of benign tissue made of fatty tissue). [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_ANGIOKERATOMA","SYSTEMATIC_NAME":"M35078","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001014","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001014","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Angiokeratoma","DESCRIPTION_FULL":"A vascular lesion defined histologically as one or more dilated blood vessels lying directly subepidermal and showing an epidermal proliferative reaction. Clinically, angiokeratoma presents as a small, raised, dark-red spot. [HPO:probinson, PMID:8993949]"}
{"STANDARD_NAME":"HP_ANEMIC_PALLOR","SYSTEMATIC_NAME":"M35079","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001017","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001017","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Anemic pallor","DESCRIPTION_FULL":"A type of pallor that is secondary to the presence of anemia. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_PALMAR_DERMATOGLYPHICS","SYSTEMATIC_NAME":"M35080","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001018","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001018","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal palmar dermatoglyphics","DESCRIPTION_FULL":"An abnormality of the dermatoglyphs, i.e., an abnormality of the patterns of ridges of the skin of palm of hand. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ERYTHRODERMA","SYSTEMATIC_NAME":"M35081","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001019","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001019","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Erythroderma","DESCRIPTION_FULL":"An inflammatory exfoliative dermatosis involving nearly all of the surface of the skin. Erythroderma develops suddenly. A patchy erythema may generalize and spread to affect most of the skin. Scaling may appear in 2-6 days and be accompanied by hot, red, dry skin, malaise, and fever. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ALBINISM","SYSTEMATIC_NAME":"M35082","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001022","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001022","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Albinism","DESCRIPTION_FULL":"An abnormal reduction in the amount of pigmentation (reduced or absent) of skin, hair and eye (iris and retina). [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_URTICARIA","SYSTEMATIC_NAME":"M35083","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001025","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001025","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Urticaria","DESCRIPTION_FULL":"Raised, well-circumscribed areas of erythema and edema involving the dermis and epidermis. Urticaria is intensely pruritic, and blanches completely with pressure. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SOFT_DOUGHY_SKIN","SYSTEMATIC_NAME":"M35084","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001027","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001027","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Soft, doughy skin","DESCRIPTION_FULL":"A skin texture that is unusually soft (and may feel silky), and has a malleable consistency resembling that of dough. []"}
{"STANDARD_NAME":"HP_POIKILODERMA","SYSTEMATIC_NAME":"M35085","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001029","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001029","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Poikiloderma","DESCRIPTION_FULL":"Poikiloderma refers to a patch of skin with (1) reticulated hypopigmentation and hyperpigmentation, (2) wrinkling secondary to epidermal atrophy, and (3) telangiectasias. [HPO:probinson]"}
{"STANDARD_NAME":"HP_FRAGILE_SKIN","SYSTEMATIC_NAME":"M35086","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001030","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001030","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Fragile skin","DESCRIPTION_FULL":"Skin that splits easily with minimal injury. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SUBCUTANEOUS_LIPOMA","SYSTEMATIC_NAME":"M35087","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001031","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001031","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Subcutaneous lipoma","DESCRIPTION_FULL":"The presence of subcutaneous lipoma. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABSENT_DISTAL_INTERPHALANGEAL_CREASES","SYSTEMATIC_NAME":"M35088","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001032","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001032","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Absent distal interphalangeal creases","DESCRIPTION_FULL":"Absence of the distal interphalangeal flexion creases of the fingers. [HPO:curators]"}
{"STANDARD_NAME":"HP_HYPERMELANOTIC_MACULE","SYSTEMATIC_NAME":"M35089","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001034","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001034","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypermelanotic macule","DESCRIPTION_FULL":"A hyperpigmented circumscribed area of change in normal skin color without elevation or depression of any size. [DDD:cmoss]"}
{"STANDARD_NAME":"HP_PARAKERATOSIS","SYSTEMATIC_NAME":"M35090","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001036","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001036","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Parakeratosis","DESCRIPTION_FULL":"Abnormal formation of the keratinocytes of the epidermis characterized by persistence of nuclei, incomplete formation of keratin, and moistness and swelling of the keratinocytes. [HPO:probinson]"}
{"STANDARD_NAME":"HP_FACIAL_ERYTHEMA","SYSTEMATIC_NAME":"M35091","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001041","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001041","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Facial erythema","DESCRIPTION_FULL":"Redness of the skin of the face, caused by hyperemia of the capillaries in the lower layers of the skin. [HPO:probinson]"}
{"STANDARD_NAME":"HP_VITILIGO","SYSTEMATIC_NAME":"M35093","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001045","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001045","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Vitiligo"}
{"STANDARD_NAME":"HP_INTERMITTENT_JAUNDICE","SYSTEMATIC_NAME":"M35094","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001046","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001046","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Intermittent jaundice","DESCRIPTION_FULL":"Jaundice that is sometimes present, sometimes not. [HPO:curators]"}
{"STANDARD_NAME":"HP_ATOPIC_DERMATITIS","SYSTEMATIC_NAME":"M35095","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001047","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001047","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Atopic dermatitis","DESCRIPTION_FULL":"Atopic dermatitis (AD) or atopic eczema is an itchy, inflammatory skin condition with a predilection for the skin flexures. It is characterized by poorly defined erythema with edema, vesicles, and weeping in the acute stage and skin thickening (lichenification) in the chronic stage. [HPO:probinson, PMID:27904186]"}
{"STANDARD_NAME":"HP_CAVERNOUS_HEMANGIOMA","SYSTEMATIC_NAME":"M35096","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001048","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001048","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cavernous hemangioma","DESCRIPTION_FULL":"The presence of a cavernous hemangioma. A hemangioma characterized by large endothelial spaces (caverns) is called a cavernous hemangioma. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SEBORRHEIC_DERMATITIS","SYSTEMATIC_NAME":"M35097","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001051","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001051","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Seborrheic dermatitis","DESCRIPTION_FULL":"Seborrheic dermatitis is a form of eczema which is closely related to dandruff. It causes dry or greasy peeling of the scalp, eyebrows, and face, and sometimes trunk. [HPO:curators]"}
{"STANDARD_NAME":"HP_HYPOPIGMENTED_SKIN_PATCHES","SYSTEMATIC_NAME":"M35098","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001053","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001053","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypopigmented skin patches"}
{"STANDARD_NAME":"HP_NUMEROUS_NEVI","SYSTEMATIC_NAME":"M35099","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001054","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001054","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Numerous nevi"}
{"STANDARD_NAME":"HP_ERYSIPELAS","SYSTEMATIC_NAME":"M35100","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001055","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001055","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Erysipelas","DESCRIPTION_FULL":"Increased susceptibility to erysipelas, as manifested by a medical history of repeated episodes of erysipelas, which is a superficial infection of the skin, typically involving the lymphatic system. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MILIA","SYSTEMATIC_NAME":"M35101","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001056","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001056","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Milia","DESCRIPTION_FULL":"Presence of multiple small cysts containing keratin (skin protein) and presenting as tiny pearly-white bumps just under the surface of the skin. [HPO:probinson]"}
{"STANDARD_NAME":"HP_APLASIA_CUTIS_CONGENITA","SYSTEMATIC_NAME":"M35102","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001057","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001057","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia cutis congenita","DESCRIPTION_FULL":"A developmental defect resulting in the congenital absence of skin in multiple or solitary non-inflammatory, well-demarcated, oval or circular ulcers with a diameter of about 1 to 2 cm. Aplasia cutis congenita most commonly occurs on the scalp, but may present in the face, trunk, or limbs. [HPO:probinson]"}
{"STANDARD_NAME":"HP_POOR_WOUND_HEALING","SYSTEMATIC_NAME":"M35103","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001058","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001058","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Poor wound healing","DESCRIPTION_FULL":"A reduced ability to heal cutaneous wounds. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PTERYGIUM","SYSTEMATIC_NAME":"M35104","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001059","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001059","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pterygium","DESCRIPTION_FULL":"Pterygia are 'winglike' triangular membranes occurring in the neck, eyes, knees, elbows, ankles or digits. [HPO:probinson]"}
{"STANDARD_NAME":"HP_AXILLARY_PTERYGIUM","SYSTEMATIC_NAME":"M35105","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001060","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001060","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Axillary pterygium","DESCRIPTION_FULL":"Presence of a cutaneous membrane (flap) in the armpit. []"}
{"STANDARD_NAME":"HP_ACNE","SYSTEMATIC_NAME":"M35106","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001061","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001061","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Acne","DESCRIPTION_FULL":"A skin condition in which there is an increase in sebum secretion by the pilosebaceous apparatus associated with open comedones (blackheads), closed comedones (whiteheads), and pustular nodules (papules, pustules, and cysts). [HPO:probinson]"}
{"STANDARD_NAME":"HP_ACROCYANOSIS","SYSTEMATIC_NAME":"M35107","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001063","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001063","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Acrocyanosis"}
{"STANDARD_NAME":"HP_STRIAE_DISTENSAE","SYSTEMATIC_NAME":"M35108","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001065","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001065","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Striae distensae","DESCRIPTION_FULL":"Thinned, erythematous, depressed bands of atrophic skin. Initially, striae appear as flattened and thinned, pinkish linear regions of the skin. Striae tend to enlarge in length and become reddish or purplish. Later, striae tend to appear as white, depressed bands that are parallel to the lines of skin tension. Striae distensae occur most often in areas that have been subject to distension such as the lower back, buttocks, thighs, breast, abdomen, and shoulders. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NEUROFIBROMAS","SYSTEMATIC_NAME":"M35109","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001067","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001067","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neurofibromas","DESCRIPTION_FULL":"The presence of multiple cutaneous neurofibromas. [HPO:probinson]"}
{"STANDARD_NAME":"HP_EPISODIC_HYPERHIDROSIS","SYSTEMATIC_NAME":"M35110","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001069","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001069","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Episodic hyperhidrosis","DESCRIPTION_FULL":"Intermittent episodes of abnormally increased perspiration. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MOTTLED_PIGMENTATION","SYSTEMATIC_NAME":"M35111","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001070","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001070","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Mottled pigmentation","DESCRIPTION_FULL":"Patchy and irregular skin pigmentation. [HPO:probinson]"}
{"STANDARD_NAME":"HP_THICKENED_SKIN","SYSTEMATIC_NAME":"M35112","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001072","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001072","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Thickened skin","DESCRIPTION_FULL":"Laminar thickening of skin. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_CIGARETTE_PAPER_SCARS","SYSTEMATIC_NAME":"M35113","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001073","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001073","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cigarette-paper scars","DESCRIPTION_FULL":"Thin (atrophic) and wide scars. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ATROPHIC_SCARS","SYSTEMATIC_NAME":"M35114","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001075","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001075","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Atrophic scars","DESCRIPTION_FULL":"Scars that form a depression compared to the level of the surrounding skin because of damage to the collagen, fat or other tissues below the skin. [HPO:probinson]"}
{"STANDARD_NAME":"HP_BILIARY_TRACT_ABNORMALITY","SYSTEMATIC_NAME":"M35115","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001080","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001080","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Biliary tract abnormality","DESCRIPTION_FULL":"An abnormality of the biliary tree. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CHOLELITHIASIS","SYSTEMATIC_NAME":"M35116","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001081","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001081","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cholelithiasis","DESCRIPTION_FULL":"Hard, pebble-like deposits that form within the gallbladder. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CHOLECYSTITIS","SYSTEMATIC_NAME":"M35117","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001082","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001082","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cholecystitis","DESCRIPTION_FULL":"The presence of inflammatory changes in the gallbladder. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ECTOPIA_LENTIS","SYSTEMATIC_NAME":"M35118","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001083","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001083","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ectopia lentis","DESCRIPTION_FULL":"Dislocation or malposition of the crystalline lens of the eye. A partial displacement (or dislocation) of the lens is described as a subluxation of the lens, while a complete displacement is termed luxation of the lens. A complete displacement occurs if the lens is completely outside the patellar fossa of the lens, either in the anterior chamber, in the vitreous, or directly on the retina. If the lens is partially displaced but still contained within the lens space, then it is termed subluxation. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PAPILLEDEMA","SYSTEMATIC_NAME":"M35119","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001085","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001085","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Papilledema","DESCRIPTION_FULL":"Papilledema refers to edema (swelling) of the optic disc secondary to any factor which increases cerebral spinal fluid pressure. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DEVELOPMENTAL_GLAUCOMA","SYSTEMATIC_NAME":"M35120","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001087","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001087","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Developmental glaucoma","DESCRIPTION_FULL":"Glaucoma which forms during the early years of a child's life is called developmental or congenital glaucoma. []"}
{"STANDARD_NAME":"HP_BRUSHFIELD_SPOTS","SYSTEMATIC_NAME":"M41228","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001088","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001088","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Brushfield spots","DESCRIPTION_FULL":"The presence of whitish spots in a ring-like arrangement at the periphery of the iris. [HPO:probinson]"}
{"STANDARD_NAME":"HP_IRIS_ATROPHY","SYSTEMATIC_NAME":"M41229","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001089","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001089","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Iris atrophy","DESCRIPTION_FULL":"Loss of iris tissue (atrophy) [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALLY_LARGE_GLOBE","SYSTEMATIC_NAME":"M35121","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001090","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001090","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormally large globe","DESCRIPTION_FULL":"Diffusely large eye (with megalocornea) without glaucoma. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABSENT_LACRIMAL_PUNCTUM","SYSTEMATIC_NAME":"M35122","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001092","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001092","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Absent lacrimal punctum","DESCRIPTION_FULL":"No identifiable superior and/or inferior lacrimal punctum. [PMID:19125427]"}
{"STANDARD_NAME":"HP_OPTIC_NERVE_DYSPLASIA","SYSTEMATIC_NAME":"M35123","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001093","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001093","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Optic nerve dysplasia","DESCRIPTION_FULL":"The presence of developmental dysplasia of the optic nerve. [HPO:probinson]"}
{"STANDARD_NAME":"HP_IRIDOCYCLITIS","SYSTEMATIC_NAME":"M35124","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001094","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001094","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Iridocyclitis","DESCRIPTION_FULL":"A type of anterior uveitis, in which there is Inflammation of the iris and the ciliary body. [HPO:probinson]"}
{"STANDARD_NAME":"HP_KERATOCONJUNCTIVITIS","SYSTEMATIC_NAME":"M35125","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001096","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001096","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Keratoconjunctivitis","DESCRIPTION_FULL":"Inflammation of the cornea and conjunctiva. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HETEROCHROMIA_IRIDIS","SYSTEMATIC_NAME":"M35126","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001100","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001100","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Heterochromia iridis","DESCRIPTION_FULL":"Heterochromia iridis is a difference in the color of the iris in the two eyes. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ANGIOID_STREAKS_OF_THE_FUNDUS","SYSTEMATIC_NAME":"M35127","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001102","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001102","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Angioid streaks of the fundus","DESCRIPTION_FULL":"Irregular lines in the deep retina that are typically configured in a radiating fashion and emanate from the optic disc. Angioid streaks are crack-like dehiscences in abnormally thickened and calcified Bruch's membrane, resulting in atrophy of the overlying retinal pigment epithelium. They may be associated with a number of endocrine, metabolic, and connective tissue abnormalities but are frequently idiopathic. [HPO:probinson, ORCID:0000-0003-0986-4123, PMID:30844178]"}
{"STANDARD_NAME":"HP_ABNORMAL_MACULAR_MORPHOLOGY","SYSTEMATIC_NAME":"M35128","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001103","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001103","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal macular morphology","DESCRIPTION_FULL":"A structural abnormality of the macula lutea, which is an oval-shaped highly pigmented yellow spot near the center of the retina. [HPO:probinson, PMID:16255686]"}
{"STANDARD_NAME":"HP_MACULAR_HYPOPLASIA","SYSTEMATIC_NAME":"M35129","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001104","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001104","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Macular hypoplasia","DESCRIPTION_FULL":"Underdevelopment of the macula lutea. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RETINAL_ATROPHY","SYSTEMATIC_NAME":"M35130","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001105","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001105","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Retinal atrophy","DESCRIPTION_FULL":"Well-demarcated area(s) of partial or complete depigmentation in the fundus, reflecting atrophy of the retinal pigment epithelium with associated retinal photoreceptor loss. [ORCID:0000-0003-0986-4123]"}
{"STANDARD_NAME":"HP_OCULAR_ALBINISM","SYSTEMATIC_NAME":"M35131","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001107","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001107","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ocular albinism","DESCRIPTION_FULL":"An abnormal reduction in the amount of pigmentation (reduced or absent) of the iris and retina. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LEBER_OPTIC_ATROPHY","SYSTEMATIC_NAME":"M35132","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001112","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001112","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Leber optic atrophy","DESCRIPTION_FULL":"Degeneration of retinal ganglion cells and their axons. [HPO:probinson]"}
{"STANDARD_NAME":"HP_XANTHELASMA","SYSTEMATIC_NAME":"M35133","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001114","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001114","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Xanthelasma","DESCRIPTION_FULL":"The presence of xanthomata in the skin of the eyelid. [HPO:curators]"}
{"STANDARD_NAME":"HP_POSTERIOR_POLAR_CATARACT","SYSTEMATIC_NAME":"M35134","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001115","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001115","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Posterior polar cataract","DESCRIPTION_FULL":"A polar cataract that affects the posterior pole of the lens. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MACULAR_COLOBOMA","SYSTEMATIC_NAME":"M41230","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001116","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001116","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Macular coloboma","DESCRIPTION_FULL":"A congenital defect of the macula distinct from coloboma associated with optic fissure closure defects. Macular coloboma is characterized by a sharply defined, rather large defect in the central area of the fundus that is oval or round, and coarsely pigmented. [DDD:gblack, PMID:15069441]"}
{"STANDARD_NAME":"HP_SUDDEN_LOSS_OF_VISUAL_ACUITY","SYSTEMATIC_NAME":"M35135","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001117","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001117","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Sudden loss of visual acuity","DESCRIPTION_FULL":"Severe loss of visual acuity within hours or days. This is characteristic of Leber hereditary optic neuropathy. [HPO:probinson]"}
{"STANDARD_NAME":"HP_JUVENILE_CATARACT","SYSTEMATIC_NAME":"M35136","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001118","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001118","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Juvenile cataract","DESCRIPTION_FULL":"A type of cataract that is not apparent at birth but that arises in childhood or adolescence. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_CORNEAL_SIZE","SYSTEMATIC_NAME":"M35138","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001120","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001120","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of corneal size","DESCRIPTION_FULL":"Any abnormality of the size or morphology of the cornea. [HPO:curators]"}
{"STANDARD_NAME":"HP_VISUAL_FIELD_DEFECT","SYSTEMATIC_NAME":"M35139","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001123","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001123","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Visual field defect"}
{"STANDARD_NAME":"HP_CRYPTOPHTHALMOS","SYSTEMATIC_NAME":"M35140","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001126","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001126","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cryptophthalmos","DESCRIPTION_FULL":"Cryptophthalmos is a condition of total absence of eyelids and the skin of forehead is continuous with that of cheek, in which the eyeball is completely concealed by the skin, which is stretched over the orbital cavity. [HPO:probinson, PMID:19125427]"}
{"STANDARD_NAME":"HP_CORNEAL_DYSTROPHY","SYSTEMATIC_NAME":"M35141","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001131","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001131","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Corneal dystrophy","DESCRIPTION_FULL":"An abnormality of the cornea that is characterized by opacity of one or parts of the cornea. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LENS_SUBLUXATION","SYSTEMATIC_NAME":"M35142","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001132","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001132","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Lens subluxation","DESCRIPTION_FULL":"Partial dislocation of the lens of the eye. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CONSTRICTION_OF_PERIPHERAL_VISUAL_FIELD","SYSTEMATIC_NAME":"M35143","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001133","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001133","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Constriction of peripheral visual field","DESCRIPTION_FULL":"An absolute or relative decrease in retinal sensitivity extending from edge (periphery) of the visual field in a concentric pattern. The visual field is the area that is perceived simultaneously by a fixating eye. [ORCID:0000-0003-0986-4123]"}
{"STANDARD_NAME":"HP_CHORIORETINAL_DYSTROPHY","SYSTEMATIC_NAME":"M35144","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001135","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001135","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Chorioretinal dystrophy"}
{"STANDARD_NAME":"HP_RETINAL_ARTERIOLAR_TORTUOSITY","SYSTEMATIC_NAME":"M35145","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001136","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001136","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Retinal arteriolar tortuosity","DESCRIPTION_FULL":"The presence of an increased number of twists and turns of the retinal arterioles. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ALTERNATING_ESOTROPIA","SYSTEMATIC_NAME":"M35146","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001137","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001137","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Alternating esotropia","DESCRIPTION_FULL":"Esotropia in which either eye may be used for fixation. [ORCID:0000-0003-0986-4123]"}
{"STANDARD_NAME":"HP_OPTIC_NEUROPATHY","SYSTEMATIC_NAME":"M35147","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001138","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001138","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Optic neuropathy"}
{"STANDARD_NAME":"HP_CHOROIDEREMIA","SYSTEMATIC_NAME":"M35148","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001139","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001139","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Choroideremia"}
{"STANDARD_NAME":"HP_LIMBAL_DERMOID","SYSTEMATIC_NAME":"M35149","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001140","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001140","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Limbal dermoid","DESCRIPTION_FULL":"A benign tumor typically found at the junction of the cornea and sclera (limbal epibullar dermoid). [HPO:probinson]"}
{"STANDARD_NAME":"HP_SEVERELY_REDUCED_VISUAL_ACUITY","SYSTEMATIC_NAME":"M35150","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001141","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001141","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Severely reduced visual acuity","DESCRIPTION_FULL":"Severe reduction of the ability to see defined as visual acuity less than 6/60 (20/200 in US notation; 0.1 in decimal notation) but at least 3/60 (20/400 in US notation; 0.05 in decimal notation). [PMID:28779882]"}
{"STANDARD_NAME":"HP_LENTICONUS","SYSTEMATIC_NAME":"M41231","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001142","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001142","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Lenticonus","DESCRIPTION_FULL":"A conical projection of the anterior or posterior surface of the lens, occurring as a developmental anomaly. [DDD:ncarter]"}
{"STANDARD_NAME":"HP_ORBITAL_CYST","SYSTEMATIC_NAME":"M35151","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001144","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001144","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Orbital cyst","DESCRIPTION_FULL":"Presence of a cyst in the region of the periorbital tissues. Orbital cysts can be derived from epithelial or glandular tissue within or surrounding the orbit (lacrimal glands, salivary glands, conjunctival, oral, nasal, or sinus epithelium). [HPO:probinson]"}
{"STANDARD_NAME":"HP_RETINAL_EXUDATE","SYSTEMATIC_NAME":"M35152","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001147","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001147","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Retinal exudate","DESCRIPTION_FULL":"Fluid which has escaped from retinal blood vessels with a high concentration of lipid, protein, and cellular debris with a typically bright, reflective, white or cream colored appearance on the surface of the retina. [HPO:probinson]"}
{"STANDARD_NAME":"HP_IMPAIRED_HORIZONTAL_SMOOTH_PURSUIT","SYSTEMATIC_NAME":"M35153","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001151","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001151","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Impaired horizontal smooth pursuit","DESCRIPTION_FULL":"An abnormality of ocular smooth pursuit characterized by an impairment of the ability to track horizontally moving objects. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SACCADIC_SMOOTH_PURSUIT","SYSTEMATIC_NAME":"M35154","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001152","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001152","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Saccadic smooth pursuit","DESCRIPTION_FULL":"An abnormality of tracking eye movements in which smooth pursuit is interrupted by an abnormally high number of saccadic movements. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SEPTATE_VAGINA","SYSTEMATIC_NAME":"M35155","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001153","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001153","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Septate vagina","DESCRIPTION_FULL":"The presence of a vaginal septum, thereby creating a vaginal duplication. The septum is longitudinal in the majority of cases. [HPO:curators]"}
{"STANDARD_NAME":"HP_BRACHYDACTYLY","SYSTEMATIC_NAME":"M35156","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001156","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001156","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Brachydactyly","DESCRIPTION_FULL":"Digits that appear disproportionately short compared to the hand/foot. The word brachydactyly is used here to describe a series distinct patterns of shortened digits (brachydactyly types A-E). This is the sense used here. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SYNDACTYLY","SYSTEMATIC_NAME":"M35157","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001159","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001159","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Syndactyly","DESCRIPTION_FULL":"Webbing or fusion of the fingers or toes, involving soft parts only or including bone structure. Bony fusions are referred to as \\bony\\ syndactyly if the fusion occurs in a radio-ulnar axis. Fusions of bones of the fingers or toes in a proximo-distal axis are referred to as \\symphalangism\\. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HAND_POLYDACTYLY","SYSTEMATIC_NAME":"M41232","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001161","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001161","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hand polydactyly","DESCRIPTION_FULL":"A kind of polydactyly characterized by the presence of a supernumerary finger or fingers. [HPO:probinson]"}
{"STANDARD_NAME":"HP_POSTAXIAL_HAND_POLYDACTYLY","SYSTEMATIC_NAME":"M35158","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001162","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001162","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Postaxial hand polydactyly","DESCRIPTION_FULL":"Supernumerary digits located at the ulnar side of the hand (that is, on the side with the fifth finger). [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_METACARPAL_BONES","SYSTEMATIC_NAME":"M35159","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001163","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001163","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the metacarpal bones","DESCRIPTION_FULL":"An abnormality of the metacarpal bones. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_FINGER","SYSTEMATIC_NAME":"M35160","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001167","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001167","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of finger","DESCRIPTION_FULL":"An anomaly of a finger. [HPO:probinson]"}
{"STANDARD_NAME":"HP_BROAD_PALM","SYSTEMATIC_NAME":"M35161","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001169","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001169","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Broad palm","DESCRIPTION_FULL":"For children from birth to 4 years of age the palm width is more than 2 SD above the mean; for children from 4 to 16 years of age the palm width is above the 95th centile; or, the width of the palm appears disproportionately wide for the length. [HPO:probinson, PMID:19125433]"}
{"STANDARD_NAME":"HP_ABNORMAL_THUMB_MORPHOLOGY","SYSTEMATIC_NAME":"M35162","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001172","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001172","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal thumb morphology","DESCRIPTION_FULL":"An abnormal structure of the first digit of the hand. []"}
{"STANDARD_NAME":"HP_LARGE_HANDS","SYSTEMATIC_NAME":"M35163","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001176","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001176","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Large hands"}
{"STANDARD_NAME":"HP_PREAXIAL_HAND_POLYDACTYLY","SYSTEMATIC_NAME":"M35164","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001177","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001177","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Preaxial hand polydactyly","DESCRIPTION_FULL":"Supernumerary digits located at the radial side of the hand. Polydactyly (supernumerary digits) involving the thumb occurs in many distinct forms of high variability and severity. Ranging from fleshy nubbins over varying degrees of partial duplication/splitting to completely duplicated or even triplicated thumbs or preaxial (on the radial side of the hand) supernumerary digits. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ULNAR_CLAW","SYSTEMATIC_NAME":"M35165","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001178","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001178","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ulnar claw","DESCRIPTION_FULL":"An abnormal hand position characterized by hyperextension of the fourth and fifth fingers at the metacarpophalangeal joints and flexion of the interphalangeal joints of the same fingers such that they are curled towards the palm. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HAND_OLIGODACTYLY","SYSTEMATIC_NAME":"M35166","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001180","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001180","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hand oligodactyly","DESCRIPTION_FULL":"A developmental defect resulting in the presence of fewer than the normal number of fingers. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ADDUCTED_THUMB","SYSTEMATIC_NAME":"M35167","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001181","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001181","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Adducted thumb","DESCRIPTION_FULL":"In the resting position, the tip of the thumb is on, or near, the palm, close to the base of the fourth or fifth finger. [PMID:19125433]"}
{"STANDARD_NAME":"HP_TAPERED_FINGER","SYSTEMATIC_NAME":"M35168","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001182","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001182","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Tapered finger","DESCRIPTION_FULL":"The gradual reduction in girth of the finger from proximal to distal. [PMID:19125433]"}
{"STANDARD_NAME":"HP_HYPEREXTENSIBILITY_OF_THE_FINGER_JOINTS","SYSTEMATIC_NAME":"M35169","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001187","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001187","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hyperextensibility of the finger joints","DESCRIPTION_FULL":"The ability of the finger joints to move beyond their normal range of motion. [HPO:curators]"}
{"STANDARD_NAME":"HP_HAND_CLENCHING","SYSTEMATIC_NAME":"M35170","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001188","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001188","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hand clenching","DESCRIPTION_FULL":"An abnormal hand posture in which the hands are clenched to fists. All digits held completely flexed at the metacarpophalangeal and interphalangeal joints. [HPO:sdoelken, PMID:10085502]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_CARPAL_BONES","SYSTEMATIC_NAME":"M35171","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001191","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001191","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the carpal bones","DESCRIPTION_FULL":"An abnormality affecting the carpal bones of the wrist (scaphoid, lunate, triquetral, pisiform, trapezium, trapezoid, capitate, hamate). [HPO:probinson]"}
{"STANDARD_NAME":"HP_ULNAR_DEVIATION_OF_THE_HAND_OR_OF_FINGERS_OF_THE_HAND","SYSTEMATIC_NAME":"M35172","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001193","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001193","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ulnar deviation of the hand or of fingers of the hand"}
{"STANDARD_NAME":"HP_ABNORMALITIES_OF_PLACENTA_OR_UMBILICAL_CORD","SYSTEMATIC_NAME":"M35173","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001194","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001194","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormalities of placenta or umbilical cord","DESCRIPTION_FULL":"An abnormality of the placenta (the organ that connects the developing fetus to the uterine wall) or of the umbilical cord (the cord that connects the fetus to the placenta). [HPO:curators]"}
{"STANDARD_NAME":"HP_SHORT_UMBILICAL_CORD","SYSTEMATIC_NAME":"M35174","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001196","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001196","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Short umbilical cord","DESCRIPTION_FULL":"Decreased length of the umbilical cord. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_PRENATAL_DEVELOPMENT_OR_BIRTH","SYSTEMATIC_NAME":"M35175","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001197","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001197","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of prenatal development or birth","DESCRIPTION_FULL":"An abnormality of the fetus or the birth of the fetus, excluding structural abnormalities. [HPO:probinson]"}
{"STANDARD_NAME":"HP_TRIPHALANGEAL_THUMB","SYSTEMATIC_NAME":"M35176","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001199","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001199","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Triphalangeal thumb","DESCRIPTION_FULL":"A thumb with three phalanges in a single, proximo-distal axis. Thus, this term applies if the thumb has an accessory phalanx, leading to a digit like appearance of the thumb. [HPO:probinson, PMID:19125433]"}
{"STANDARD_NAME":"HP_DISTAL_SYMPHALANGISM_OF_HANDS","SYSTEMATIC_NAME":"M35177","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001204","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001204","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Distal symphalangism of hands","DESCRIPTION_FULL":"The term distal symphalangism refers to a bony fusion of the distal and middle phalanges of the digits of the hand, in other words the distal interphalangeal joint (DIJ) is missing which can be seen either on x-rays or as an absence of the distal interphalangeal finger creases. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_ABNORMAL_FINGERTIP_MORPHOLOGY","SYSTEMATIC_NAME":"M35178","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001211","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001211","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal fingertip morphology","DESCRIPTION_FULL":"An abnormal structure of the tip (end) of a finger. []"}
{"STANDARD_NAME":"HP_DELAYED_OSSIFICATION_OF_CARPAL_BONES","SYSTEMATIC_NAME":"M35180","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001216","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001216","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Delayed ossification of carpal bones","DESCRIPTION_FULL":"Ossification of carpal bones occurs later than age-adjusted norms. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CLUBBING","SYSTEMATIC_NAME":"M35181","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001217","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001217","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Clubbing","DESCRIPTION_FULL":"Broadening of the soft tissues (non-edematous swelling of soft tissues) of the digital tips in all dimensions associated with an increased longitudinal and lateral curvature of the nails. [HPO:sdoelken, PMID:19125433]"}
{"STANDARD_NAME":"HP_AUTOAMPUTATION","SYSTEMATIC_NAME":"M35182","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001218","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001218","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Autoamputation","DESCRIPTION_FULL":"Spontaneous detachment (amputation) of an appendage from the body. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_THENAR_EMINENCE","SYSTEMATIC_NAME":"M35183","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001227","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001227","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the thenar eminence","DESCRIPTION_FULL":"An abnormality of the thenar eminence, i.e., of the muscle on the palm of the human hand just beneath the thumb. [HPO:curators]"}
{"STANDARD_NAME":"HP_BROAD_METACARPALS","SYSTEMATIC_NAME":"M35184","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001230","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001230","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Broad metacarpals","DESCRIPTION_FULL":"Abnormally broad metacarpal bones. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_FINGERNAIL_MORPHOLOGY","SYSTEMATIC_NAME":"M35185","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001231","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001231","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal fingernail morphology","DESCRIPTION_FULL":"An abnormality of the fingernails. [HPO:probinson]"}
{"STANDARD_NAME":"HP_2_3_FINGER_SYNDACTYLY","SYSTEMATIC_NAME":"M35186","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001233","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001233","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"2-3 finger syndactyly","DESCRIPTION_FULL":"Syndactyly with fusion of fingers two and three. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_SLENDER_FINGER","SYSTEMATIC_NAME":"M35187","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001238","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001238","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Slender finger","DESCRIPTION_FULL":"Fingers that are disproportionately narrow (reduced girth) for the hand/foot size or build of the individual. [PMID:19125433]"}
{"STANDARD_NAME":"HP_WRIST_FLEXION_CONTRACTURE","SYSTEMATIC_NAME":"M35188","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001239","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001239","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Wrist flexion contracture","DESCRIPTION_FULL":"A chronic loss of wrist joint motion due to structural changes in muscle, tendons, ligaments, or skin that prevent normal movement of the joints of the wrist. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CAPITATE_HAMATE_FUSION","SYSTEMATIC_NAME":"M35189","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001241","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001241","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Capitate-hamate fusion"}
{"STANDARD_NAME":"HP_SMALL_THENAR_EMINENCE","SYSTEMATIC_NAME":"M41233","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001245","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001245","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Small thenar eminence","DESCRIPTION_FULL":"Underdevelopment of the thenar eminence with reduced palmar soft tissue mass surrounding the base of the thumb. [HPO:probinson, PMID:19125433]"}
{"STANDARD_NAME":"HP_LETHARGY","SYSTEMATIC_NAME":"M35190","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001254","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001254","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Lethargy","DESCRIPTION_FULL":"A state of disinterestedness, listlessness, and indifference, resulting in difficulty performing simple tasks or concentrating. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INTELLECTUAL_DISABILITY_MILD","SYSTEMATIC_NAME":"M35191","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001256","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001256","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Intellectual disability, mild","DESCRIPTION_FULL":"Mild intellectual disability is defined as an intelligence quotient (IQ) in the range of 50-69. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SPASTICITY","SYSTEMATIC_NAME":"M35192","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001257","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001257","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Spasticity","DESCRIPTION_FULL":"A motor disorder characterized by a velocity-dependent increase in tonic stretch reflexes with increased muscle tone, exaggerated (hyperexcitable) tendon reflexes. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SPASTIC_PARAPLEGIA","SYSTEMATIC_NAME":"M35193","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001258","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001258","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Spastic paraplegia","DESCRIPTION_FULL":"Spasticity and weakness of the leg and hip muscles. [HPO:probinson]"}
{"STANDARD_NAME":"HP_COMA","SYSTEMATIC_NAME":"M35194","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001259","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001259","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Coma","DESCRIPTION_FULL":"Complete absence of wakefulness and content of conscience, which manifests itself as a lack of response to any kind of external stimuli. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DYSARTHRIA","SYSTEMATIC_NAME":"M35195","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001260","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001260","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Dysarthria","DESCRIPTION_FULL":"Dysarthric speech is a general description referring to a neurological speech disorder characterized by poor articulation. Depending on the involved neurological structures, dysarthria may be further classified as spastic, flaccid, ataxic, hyperkinetic and hypokinetic, or mixed. [HPO:curators]"}
{"STANDARD_NAME":"HP_EXCESSIVE_DAYTIME_SOMNOLENCE","SYSTEMATIC_NAME":"M35196","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001262","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001262","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Excessive daytime somnolence","DESCRIPTION_FULL":"A state of abnormally strong desire for sleep during the daytime. []"}
{"STANDARD_NAME":"HP_SPASTIC_DIPLEGIA","SYSTEMATIC_NAME":"M35197","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001264","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001264","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Spastic diplegia","DESCRIPTION_FULL":"Spasticity (neuromuscular hypertonia) primarily in the muscles of the legs, hips, and pelvis. [HPO:curators]"}
{"STANDARD_NAME":"HP_HYPOREFLEXIA","SYSTEMATIC_NAME":"M35198","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001265","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001265","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hyporeflexia","DESCRIPTION_FULL":"Reduction of neurologic reflexes such as the knee-jerk reaction. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CHOREOATHETOSIS","SYSTEMATIC_NAME":"M35199","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001266","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001266","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Choreoathetosis","DESCRIPTION_FULL":"Involuntary movements characterized by both athetosis (inability to sustain muscles in a fixed position) and chorea (widespread jerky arrhythmic movements). [HPO:probinson]"}
{"STANDARD_NAME":"HP_MENTAL_DETERIORATION","SYSTEMATIC_NAME":"M35200","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001268","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001268","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Mental deterioration","DESCRIPTION_FULL":"Loss of previously present mental abilities, generally in adults. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HEMIPARESIS","SYSTEMATIC_NAME":"M35201","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001269","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001269","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hemiparesis","DESCRIPTION_FULL":"Loss of strength in the arm, leg, and sometimes face on one side of the body. Hemiplegia refers to a complete loss of strength, whereas hemiparesis refers to an incomplete loss of strength. [HPO:probinson, UKB:tklockgether]"}
{"STANDARD_NAME":"HP_MOTOR_DELAY","SYSTEMATIC_NAME":"M35202","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001270","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001270","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Motor delay","DESCRIPTION_FULL":"A type of Developmental delay characterized by a delay in acquiring motor skills. [HPO:probinson]"}
{"STANDARD_NAME":"HP_POLYNEUROPATHY","SYSTEMATIC_NAME":"M35203","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001271","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001271","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Polyneuropathy","DESCRIPTION_FULL":"A generalized disorder of peripheral nerves. [HPO:curators]"}
{"STANDARD_NAME":"HP_CEREBELLAR_ATROPHY","SYSTEMATIC_NAME":"M35204","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001272","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001272","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cerebellar atrophy","DESCRIPTION_FULL":"Atrophy (wasting) of the cerebellum. [HPO:probinson, PMID:12169461]"}
{"STANDARD_NAME":"HP_ABNORMAL_CORPUS_CALLOSUM_MORPHOLOGY","SYSTEMATIC_NAME":"M35205","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001273","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001273","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal corpus callosum morphology","DESCRIPTION_FULL":"Abnormality of the corpus callosum. [HPO:probinson, PMID:21263138]"}
{"STANDARD_NAME":"HP_AGENESIS_OF_CORPUS_CALLOSUM","SYSTEMATIC_NAME":"M35206","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001274","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001274","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Agenesis of corpus callosum","DESCRIPTION_FULL":"Absence of the corpus callosum as a result of the failure of the corpus callosum to develop, which can be the result of a failure in any one of the multiple steps of callosal development including cellular proliferation and migration, axonal growth or glial patterning at the midline. [HPO:curators]"}
{"STANDARD_NAME":"HP_HYPERTONIA","SYSTEMATIC_NAME":"M35207","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001276","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001276","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypertonia","DESCRIPTION_FULL":"A condition in which there is increased muscle tone so that arms or legs, for example, are stiff and difficult to move. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ORTHOSTATIC_HYPOTENSION","SYSTEMATIC_NAME":"M35208","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001278","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001278","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Orthostatic hypotension","DESCRIPTION_FULL":"A form of hypotension characterized by a sudden fall in blood pressure that occurs when a person assumes a standing position. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SYNCOPE","SYSTEMATIC_NAME":"M35209","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001279","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001279","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Syncope","DESCRIPTION_FULL":"Syncope refers to a generalized weakness of muscles with loss of postural tone, inability to stand upright, and loss of consciousness. Once the patient is in a horizontal position, blood flow to the brain is no longer hindered by gravitation and consciousness is regained. Unconsciousness usually lasts for seconds to minutes. Headache and drowsiness (which usually follow seizures) do not follow a syncopal attack. Syncope results from a sudden impairment of brain metabolism usually due to a reduction in cerebral blood flow. [HPO:probinson]"}
{"STANDARD_NAME":"HP_TETANY","SYSTEMATIC_NAME":"M35210","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001281","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001281","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Tetany","DESCRIPTION_FULL":"A condition characterized by intermittent involuntary contraction of muscles (spasms) related to hypocalcemia or occasionally magnesium deficiency. []"}
{"STANDARD_NAME":"HP_BULBAR_PALSY","SYSTEMATIC_NAME":"M35211","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001283","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001283","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Bulbar palsy","DESCRIPTION_FULL":"Bulbar weakness (or bulbar palsy) refers to bilateral impairment of function of the lower cranial nerves IX, X, XI and XII, which occurs due to lower motor neuron lesion either at nuclear or fascicular level in the medulla or from bilateral lesions of the lower cranial nerves outside the brain-stem. Bulbar weakness is often associated with difficulty in chewing, weakness of the facial muscles, dysarthria, palatal weakness and regurgitation of fluids, dysphagia, and dysphonia. [HPO:curators]"}
{"STANDARD_NAME":"HP_AREFLEXIA","SYSTEMATIC_NAME":"M35212","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001284","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001284","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Areflexia","DESCRIPTION_FULL":"Absence of neurologic reflexes such as the knee-jerk reaction. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SPASTIC_TETRAPARESIS","SYSTEMATIC_NAME":"M35213","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001285","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001285","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Spastic tetraparesis","DESCRIPTION_FULL":"Spastic weakness affecting all four limbs. [HPO:curators]"}
{"STANDARD_NAME":"HP_MENINGITIS","SYSTEMATIC_NAME":"M35214","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001287","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001287","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Meningitis","DESCRIPTION_FULL":"Inflammation of the meninges. [HPO:probinson]"}
{"STANDARD_NAME":"HP_GAIT_DISTURBANCE","SYSTEMATIC_NAME":"M35215","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001288","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001288","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Gait disturbance","DESCRIPTION_FULL":"The term gait disturbance can refer to any disruption of the ability to walk. In general, this can refer to neurological diseases but also fractures or other sources of pain that is triggered upon walking. However, in the current context gait disturbance refers to difficulty walking on the basis of a neurological or muscular disease. [HPO:probinson, PMID:27770207]"}
{"STANDARD_NAME":"HP_CONFUSION","SYSTEMATIC_NAME":"M35216","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001289","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001289","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Confusion","DESCRIPTION_FULL":"Lack of clarity and coherence of thought, perception, understanding, or action. [HPO:curators]"}
{"STANDARD_NAME":"HP_GENERALIZED_HYPOTONIA","SYSTEMATIC_NAME":"M35217","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001290","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001290","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Generalized hypotonia","DESCRIPTION_FULL":"Generalized muscular hypotonia (abnormally low muscle tone). [HPO:curators]"}
{"STANDARD_NAME":"HP_ABNORMAL_CRANIAL_NERVE_MORPHOLOGY","SYSTEMATIC_NAME":"M35218","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001291","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001291","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal cranial nerve morphology","DESCRIPTION_FULL":"Structural abnormality affecting one or more of the cranial nerves, which emerge directly from the brain stem. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CRANIAL_NERVE_COMPRESSION","SYSTEMATIC_NAME":"M35219","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001293","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001293","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cranial nerve compression"}
{"STANDARD_NAME":"HP_STROKE","SYSTEMATIC_NAME":"M35220","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001297","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001297","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Stroke","DESCRIPTION_FULL":"Sudden impairment of blood flow to a part of the brain due to occlusion or rupture of an artery to the brain. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ENCEPHALOPATHY","SYSTEMATIC_NAME":"M35221","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001298","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001298","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Encephalopathy","DESCRIPTION_FULL":"Encephalopathy is a term that means brain disease, damage, or malfunction. In general, encephalopathy is manifested by an altered mental state. [HPO:probinson, KI:phemming]"}
{"STANDARD_NAME":"HP_PARKINSONISM","SYSTEMATIC_NAME":"M35222","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001300","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001300","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Parkinsonism","DESCRIPTION_FULL":"Characteristic neurologic anomaly resulting form degeneration of dopamine-generating cells in the substantia nigra, a region of the midbrain, characterized clinically by shaking, rigidity, slowness of movement and difficulty with walking and gait. [HPO:probinson]"}
{"STANDARD_NAME":"HP_TORSION_DYSTONIA","SYSTEMATIC_NAME":"M35223","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001304","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001304","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Torsion dystonia","DESCRIPTION_FULL":"Sustained involuntary muscle contractions that produce twisting and repetitive movements of the body. [HPO:probinson]"}
{"STANDARD_NAME":"HP_TONGUE_FASCICULATIONS","SYSTEMATIC_NAME":"M35224","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001308","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001308","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Tongue fasciculations","DESCRIPTION_FULL":"Fasciculations or fibrillation affecting the tongue muscle. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DYSMETRIA","SYSTEMATIC_NAME":"M35225","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001310","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001310","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Dysmetria","DESCRIPTION_FULL":"A type of ataxia characterized by the inability to carry out movements with the correct range and motion across the plane of more than one joint related to incorrect estimation of the distances required for targeted movements. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_NERVOUS_SYSTEM_ELECTROPHYSIOLOGY","SYSTEMATIC_NAME":"M35226","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001311","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001311","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal nervous system electrophysiology","DESCRIPTION_FULL":"An abnormality of the function of the electrical signals with which nerve cells communicate with each other or with muscles as measured by electrophysiological investigations. [HPO:probinson]"}
{"STANDARD_NAME":"HP_GIANT_SOMATOSENSORY_EVOKED_POTENTIALS","SYSTEMATIC_NAME":"M35227","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001312","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001312","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Giant somatosensory evoked potentials","DESCRIPTION_FULL":"An abnormal enlargement (i.e. increase in measured voltage) of somatosensory evoked potentials. [HPO:curators]"}
{"STANDARD_NAME":"HP_REDUCED_TENDON_REFLEXES","SYSTEMATIC_NAME":"M35228","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001315","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001315","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Reduced tendon reflexes","DESCRIPTION_FULL":"Diminution of tendon reflexes, which is an invariable sign of peripheral nerve disease. [HPO:probinson, PMID:20941667]"}
{"STANDARD_NAME":"HP_NEONATAL_HYPOTONIA","SYSTEMATIC_NAME":"M35229","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001319","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001319","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neonatal hypotonia","DESCRIPTION_FULL":"Muscular hypotonia (abnormally low muscle tone) manifesting in the neonatal period. [HPO:curators]"}
{"STANDARD_NAME":"HP_CEREBELLAR_HYPOPLASIA","SYSTEMATIC_NAME":"M35230","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001321","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001321","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cerebellar hypoplasia","DESCRIPTION_FULL":"Underdevelopment of the cerebellum. [HPO:probinson, PMID:27160001]"}
{"STANDARD_NAME":"HP_MUSCLE_WEAKNESS","SYSTEMATIC_NAME":"M35231","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001324","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001324","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Muscle weakness","DESCRIPTION_FULL":"Reduced strength of muscles. [HPO:probinson, PMID:15832536]"}
{"STANDARD_NAME":"HP_HYPOGLYCEMIC_COMA","SYSTEMATIC_NAME":"M35232","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001325","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001325","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypoglycemic coma"}
{"STANDARD_NAME":"HP_EEG_WITH_IRREGULAR_GENERALIZED_SPIKE_AND_WAVE_COMPLEXES","SYSTEMATIC_NAME":"M35233","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001326","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001326","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"EEG with irregular generalized spike and wave complexes","DESCRIPTION_FULL":"EEG shows spikes (<80 ms) and waves, which are recorded over the entire scalp and do not have a specific frequency. [HPO:jalbers]"}
{"STANDARD_NAME":"HP_PHOTOSENSITIVE_MYOCLONIC_SEIZURE","SYSTEMATIC_NAME":"M35234","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001327","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001327","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Photosensitive myoclonic seizure","DESCRIPTION_FULL":"Generalised myoclonic seizure provoked by flashing or flickering light. [PMID:28276060]"}
{"STANDARD_NAME":"HP_SPECIFIC_LEARNING_DISABILITY","SYSTEMATIC_NAME":"M35235","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001328","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001328","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Specific learning disability","DESCRIPTION_FULL":"Impairment of certain skills such as reading or writing, coordination, self-control, or attention that interfere with the ability to learn. The impairment is not related to a global deficiency of intelligence. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABSENT_SEPTUM_PELLUCIDUM","SYSTEMATIC_NAME":"M41234","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001331","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001331","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Absent septum pellucidum","DESCRIPTION_FULL":"Absence of the septum pellucidum. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DYSTONIA","SYSTEMATIC_NAME":"M35236","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001332","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001332","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Dystonia","DESCRIPTION_FULL":"An abnormally increased muscular tone that causes fixed abnormal postures. There is a slow, intermittent twisting motion that leads to exaggerated turning and posture of the extremities and trunk. [HPO:probinson]"}
{"STANDARD_NAME":"HP_COMMUNICATING_HYDROCEPHALUS","SYSTEMATIC_NAME":"M35237","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001334","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001334","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Communicating hydrocephalus","DESCRIPTION_FULL":"A form of hydrocephalus in which there is no visible obstruction to the flow of the cerebrospinal fluid between the ventricles and subarachnoid space. [eMedicine:1135286, HPO:probinson]"}
{"STANDARD_NAME":"HP_BIMANUAL_SYNKINESIA","SYSTEMATIC_NAME":"M35238","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001335","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001335","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Bimanual synkinesia","DESCRIPTION_FULL":"Involuntary movements of one hand that accompany and mirror intentional movements of the opposite hand. [HPO:probinson, PMID:22412265, PMID:28945198]"}
{"STANDARD_NAME":"HP_MYOCLONUS","SYSTEMATIC_NAME":"M35239","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001336","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001336","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Myoclonus","DESCRIPTION_FULL":"Very brief, involuntary random muscular contractions occurring at rest, in response to sensory stimuli, or accompanying voluntary movements. [HPO:probinson, PMID:20589866]"}
{"STANDARD_NAME":"HP_TREMOR","SYSTEMATIC_NAME":"M35240","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001337","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001337","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Tremor","DESCRIPTION_FULL":"An unintentional, oscillating to-and-fro muscle movement about a joint axis. [HPO:probinson, PMID:16344298, PMID:20589866]"}
{"STANDARD_NAME":"HP_PARTIAL_AGENESIS_OF_THE_CORPUS_CALLOSUM","SYSTEMATIC_NAME":"M35241","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001338","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001338","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Partial agenesis of the corpus callosum","DESCRIPTION_FULL":"A partial failure of the development of the corpus callosum. [HPO:curators]"}
{"STANDARD_NAME":"HP_LISSENCEPHALY","SYSTEMATIC_NAME":"M35242","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001339","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001339","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Lissencephaly","DESCRIPTION_FULL":"A spectrum of malformations of cortical development caused by insufficient neuronal migration that subsumes the terms agyria, pachygyria and subcortical band heterotopia. See also neuropathological definitions for 2-, 3-, and 4-layered lissencephaly. [COST:neuromig, HPO:probinson, PMID:28440899]"}
{"STANDARD_NAME":"HP_CEREBRAL_HEMORRHAGE","SYSTEMATIC_NAME":"M35243","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001342","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001342","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cerebral hemorrhage","DESCRIPTION_FULL":"Hemorrhage into the parenchyma of the brain. [HPO:gcarletti]"}
{"STANDARD_NAME":"HP_ABSENT_SPEECH","SYSTEMATIC_NAME":"M35244","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001344","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001344","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Absent speech","DESCRIPTION_FULL":"Complete lack of development of speech and language abilities. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PSYCHOTIC_MENTATION","SYSTEMATIC_NAME":"M35245","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001345","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001345","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Psychotic mentation"}
{"STANDARD_NAME":"HP_HYPERREFLEXIA","SYSTEMATIC_NAME":"M35246","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001347","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001347","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hyperreflexia","DESCRIPTION_FULL":"Hyperreflexia is the presence of hyperactive stretch reflexes of the muscles. [HPO:probinson]"}
{"STANDARD_NAME":"HP_BRISK_REFLEXES","SYSTEMATIC_NAME":"M35247","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001348","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001348","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Brisk reflexes","DESCRIPTION_FULL":"Tendon reflexes that are noticeably more active than usual (conventionally denoted 3+ on clinical examination). Brisk reflexes may or may not indicate a neurological lesion. They are distinguished from hyperreflexia by the fact that hyerreflexia is characterized by hyperactive repeating (clonic) reflexes, which are considered to be always abnormal. []"}
{"STANDARD_NAME":"HP_FACIAL_DIPLEGIA","SYSTEMATIC_NAME":"M35248","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001349","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001349","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Facial diplegia","DESCRIPTION_FULL":"Facial diplegia refers to bilateral facial palsy (bilateral facial palsy is much rarer than unilateral facial palsy). [HPO:probinson]"}
{"STANDARD_NAME":"HP_SLURRED_SPEECH","SYSTEMATIC_NAME":"M35249","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001350","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001350","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Slurred speech","DESCRIPTION_FULL":"Abnormal coordination of muscles involved in speech. [DDD:fmunitoni]"}
{"STANDARD_NAME":"HP_MEGALENCEPHALY","SYSTEMATIC_NAME":"M35250","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001355","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001355","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Megalencephaly","DESCRIPTION_FULL":"Diffuse enlargement of the entire cerebral hemispheres leading to macrocephaly (with or without overlying cortical dysplasia). [COST:neuromig, HPO:probinson, PMID:28658095]"}
{"STANDARD_NAME":"HP_PLAGIOCEPHALY","SYSTEMATIC_NAME":"M35251","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001357","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001357","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Plagiocephaly","DESCRIPTION_FULL":"Asymmetric head shape, which is usually a combination of unilateral occipital flattening with ipsilateral frontal prominence, leading to rhomboid cranial shape. [PMID:19125436]"}
{"STANDARD_NAME":"HP_HOLOPROSENCEPHALY","SYSTEMATIC_NAME":"M35252","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001360","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001360","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Holoprosencephaly","DESCRIPTION_FULL":"Holoprosencephaly is a structural anomaly of the brain in which the developing forebrain fails to divide into two separate hemispheres and ventricles. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NYSTAGMUS_INDUCED_HEAD_NODDING","SYSTEMATIC_NAME":"M35253","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001361","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001361","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Nystagmus-induced head nodding","DESCRIPTION_FULL":"Head movements associated with nystagmus, that may represent an attempt to compensate for the involuntary eye movements and to improve vision. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CALVARIAL_SKULL_DEFECT","SYSTEMATIC_NAME":"M35254","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001362","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001362","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Calvarial skull defect","DESCRIPTION_FULL":"A localized defect in the bone of the skull resulting from abnormal embryological development. The defect is covered by normal skin. In some cases, skull x-rays have shown underlying lytic bone lesions which have closed before the age of one year. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CRANIOSYNOSTOSIS","SYSTEMATIC_NAME":"M35255","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001363","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001363","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Craniosynostosis","DESCRIPTION_FULL":"Craniosynostosis refers to the premature closure of the cranial sutures. Primary craniosynostosis refers to the closure of one or more sutures due to abnormalities in skull development, and secondary craniosynostosis results from failure of brain growth. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_JOINT_MORPHOLOGY","SYSTEMATIC_NAME":"M35256","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001367","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001367","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal joint morphology","DESCRIPTION_FULL":"An abnormal structure or form of the joints, i.e., one or more of the articulations where two bones join. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ARTHRITIS","SYSTEMATIC_NAME":"M35257","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001369","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001369","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Arthritis","DESCRIPTION_FULL":"Inflammation of a joint. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RHEUMATOID_ARTHRITIS","SYSTEMATIC_NAME":"M35258","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001370","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001370","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Rheumatoid arthritis","DESCRIPTION_FULL":"Inflammatory changes in the synovial membranes and articular structures with widespread fibrinoid degeneration of the collagen fibers in mesenchymal tissues, as well as atrophy and rarefaction of bony structures. [HPO:probinson]"}
{"STANDARD_NAME":"HP_JOINT_DISLOCATION","SYSTEMATIC_NAME":"M35259","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001373","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001373","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Joint dislocation","DESCRIPTION_FULL":"Displacement or malalignment of joints. [HPO:curators]"}
{"STANDARD_NAME":"HP_CONGENITAL_HIP_DISLOCATION","SYSTEMATIC_NAME":"M35260","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001374","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001374","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Congenital hip dislocation"}
{"STANDARD_NAME":"HP_LIMITATION_OF_JOINT_MOBILITY","SYSTEMATIC_NAME":"M35261","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001376","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001376","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Limitation of joint mobility","DESCRIPTION_FULL":"A reduction in the freedom of movement of one or more joints. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LIMITED_ELBOW_EXTENSION","SYSTEMATIC_NAME":"M35262","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001377","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001377","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Limited elbow extension","DESCRIPTION_FULL":"Limited ability to straighten the arm at the elbow joint. [HPO:probinson]"}
{"STANDARD_NAME":"HP_JOINT_HYPERMOBILITY","SYSTEMATIC_NAME":"M35263","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001382","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001382","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Joint hypermobility","DESCRIPTION_FULL":"The ability of a joint to move beyond its normal range of motion. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HIP_DYSPLASIA","SYSTEMATIC_NAME":"M35264","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001385","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001385","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hip dysplasia","DESCRIPTION_FULL":"The presence of developmental dysplasia of the hip. [HPO:probinson]"}
{"STANDARD_NAME":"HP_JOINT_SWELLING","SYSTEMATIC_NAME":"M35265","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001386","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001386","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Joint swelling"}
{"STANDARD_NAME":"HP_JOINT_STIFFNESS","SYSTEMATIC_NAME":"M35266","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001387","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001387","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Joint stiffness","DESCRIPTION_FULL":"Joint stiffness is a perceived sensation of tightness in a joint or joints when attempting to move them after a period of inactivity. Joint stiffness typically subsides over time. [HPO:probinson]"}
{"STANDARD_NAME":"HP_JOINT_LAXITY","SYSTEMATIC_NAME":"M35267","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001388","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001388","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Joint laxity","DESCRIPTION_FULL":"Lack of stability of a joint. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_LIVER","SYSTEMATIC_NAME":"M35268","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001392","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001392","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the liver","DESCRIPTION_FULL":"An abnormality of the liver. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CIRRHOSIS","SYSTEMATIC_NAME":"M35269","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001394","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001394","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cirrhosis","DESCRIPTION_FULL":"A chronic disorder of the liver in which liver tissue becomes scarred and is partially replaced by regenerative nodules and fibrotic tissue resulting in loss of liver function. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HEPATIC_FIBROSIS","SYSTEMATIC_NAME":"M35270","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001395","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001395","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hepatic fibrosis","DESCRIPTION_FULL":"The presence of excessive fibrous connective tissue in the liver. Fibrosis is a reparative or reactive process. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CHOLESTASIS","SYSTEMATIC_NAME":"M35271","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001396","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001396","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cholestasis","DESCRIPTION_FULL":"Impairment of bile flow due to obstruction in bile ducts. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HEPATIC_FAILURE","SYSTEMATIC_NAME":"M35272","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001399","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001399","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hepatic failure"}
{"STANDARD_NAME":"HP_HEPATOCELLULAR_CARCINOMA","SYSTEMATIC_NAME":"M35273","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001402","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001402","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hepatocellular carcinoma","DESCRIPTION_FULL":"A kind of neoplasm of the liver that originates in hepatocytes and presents macroscopically as a soft and hemorrhagic tan mass in the liver. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MACROVESICULAR_HEPATIC_STEATOSIS","SYSTEMATIC_NAME":"M35274","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001403","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001403","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Macrovesicular hepatic steatosis","DESCRIPTION_FULL":"A form of hepatic steatosis characterized by the presence of large, lipid-laden vesicles in the affected hepatocytes. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PERIPORTAL_FIBROSIS","SYSTEMATIC_NAME":"M41235","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001405","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001405","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Periportal fibrosis","DESCRIPTION_FULL":"The presence of fibrosis affecting the interlobular stroma of liver. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HEPATIC_CYSTS","SYSTEMATIC_NAME":"M35277","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001407","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001407","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hepatic cysts"}
{"STANDARD_NAME":"HP_BILE_DUCT_PROLIFERATION","SYSTEMATIC_NAME":"M35278","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001408","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001408","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Bile duct proliferation","DESCRIPTION_FULL":"Proliferative changes of the bile ducts. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MICRONODULAR_CIRRHOSIS","SYSTEMATIC_NAME":"M35279","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001413","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001413","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Micronodular cirrhosis","DESCRIPTION_FULL":"A type of cirrhosis characterized by the presence of small regenerative nodules. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MICROVESICULAR_HEPATIC_STEATOSIS","SYSTEMATIC_NAME":"M35280","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001414","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001414","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Microvesicular hepatic steatosis","DESCRIPTION_FULL":"A form of hepatic steatosis characterized by the presence of small, lipid-laden vesicles in the affected hepatocytes. [HPO:probinson]"}
{"STANDARD_NAME":"HP_X_LINKED_RECESSIVE_INHERITANCE","SYSTEMATIC_NAME":"M35281","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001419","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001419","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"X-linked recessive inheritance","DESCRIPTION_FULL":"A mode of inheritance that is observed for recessive traits related to a gene encoded on the X chromosome. In the context of medical genetics, X-linked recessive disorders manifest in males (who have one copy of the X chromosome and are thus hemizygotes), but generally not in female heterozygotes who have one mutant and one normal allele. [HPO:curators]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_MUSCULATURE_OF_THE_HAND","SYSTEMATIC_NAME":"M35282","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001421","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001421","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the musculature of the hand"}
{"STANDARD_NAME":"HP_X_LINKED_DOMINANT_INHERITANCE","SYSTEMATIC_NAME":"M35283","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001423","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001423","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"X-linked dominant inheritance","DESCRIPTION_FULL":"A mode of inheritance that is observed for dominant traits related to a gene encoded on the X chromosome. In the context of medical genetics, X-linked dominant disorders tend to manifest very severely in affected males. The severity of manifestation in females may depend on the degree of skewed X inactivation. [HPO:curators]"}
{"STANDARD_NAME":"HP_HETEROGENEOUS","SYSTEMATIC_NAME":"M35284","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001425","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001425","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Heterogeneous"}
{"STANDARD_NAME":"HP_MULTIFACTORIAL_INHERITANCE","SYSTEMATIC_NAME":"M35285","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001426","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001426","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Multifactorial inheritance","DESCRIPTION_FULL":"A mode of inheritance that depends on a mixture of major and minor genetic determinants possibly together with environmental factors. Diseases inherited in this manner are termed complex diseases. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MITOCHONDRIAL_INHERITANCE","SYSTEMATIC_NAME":"M35286","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001427","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001427","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Mitochondrial inheritance","DESCRIPTION_FULL":"A mode of inheritance that is observed for traits related to a gene encoded on the mitochondrial genome. Because the mitochondrial genome is essentially always maternally inherited, a mitochondrial condition can only be transmitted by females, although the condition can affect both sexes. The proportion of mutant mitochondria can vary (heteroplasmy). [HPO:probinson]"}
{"STANDARD_NAME":"HP_SOMATIC_MUTATION","SYSTEMATIC_NAME":"M35287","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001428","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001428","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Somatic mutation","DESCRIPTION_FULL":"A mode of inheritance in which a trait or disorder results from a de novo mutation occurring after conception, rather than being inherited from a preceding generation. []"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_CALF_MUSCULATURE","SYSTEMATIC_NAME":"M35288","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001430","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001430","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the calf musculature"}
{"STANDARD_NAME":"HP_HEPATOSPLENOMEGALY","SYSTEMATIC_NAME":"M35289","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001433","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001433","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hepatosplenomegaly","DESCRIPTION_FULL":"Simultaneous enlargement of the liver and spleen. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_SHOULDER_GIRDLE_MUSCULATURE","SYSTEMATIC_NAME":"M35290","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001435","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001435","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the shoulder girdle musculature"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_FOOT_MUSCULATURE","SYSTEMATIC_NAME":"M35291","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001436","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001436","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the foot musculature","DESCRIPTION_FULL":"An anomaly of the musculature of foot. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_MUSCULATURE_OF_THE_LOWER_LIMBS","SYSTEMATIC_NAME":"M35292","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001437","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001437","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the musculature of the lower limbs"}
{"STANDARD_NAME":"HP_ABNORMAL_ABDOMEN_MORPHOLOGY","SYSTEMATIC_NAME":"M35293","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001438","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001438","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal abdomen morphology","DESCRIPTION_FULL":"A structural abnormality of the abdomen ('belly'), that is, the part of the body between the pelvis and the thorax. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_MUSCULATURE_OF_THE_THIGH","SYSTEMATIC_NAME":"M35294","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001441","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001441","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the musculature of the thigh"}
{"STANDARD_NAME":"HP_SOMATIC_MOSAICISM","SYSTEMATIC_NAME":"M35295","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001442","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001442","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Somatic mosaicism","DESCRIPTION_FULL":"The presence of genetically distinct populations of somatic cells in a given organism caused by DNA mutations, epigenetic alterations of DNA, chromosomal abnormalities or the spontaneous reversion of inherited mutations. [HPO:probinson, PMID:12360233]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_MUSCULATURE_OF_THE_UPPER_LIMBS","SYSTEMATIC_NAME":"M35296","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001446","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001446","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the musculature of the upper limbs"}
{"STANDARD_NAME":"HP_Y_LINKED_INHERITANCE","SYSTEMATIC_NAME":"M35297","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001450","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001450","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Y-linked inheritance","DESCRIPTION_FULL":"A mode of inheritance that is observed for traits related to a gene encoded on the Y chromosome. [HPO:curators]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_UPPER_ARM","SYSTEMATIC_NAME":"M35298","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001454","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001454","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the upper arm"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_MUSCULATURE_OF_THE_UPPER_ARM","SYSTEMATIC_NAME":"M35299","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001457","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001457","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the musculature of the upper arm"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_INVOLVING_THE_SKELETAL_MUSCULATURE","SYSTEMATIC_NAME":"M35300","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001460","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001460","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia involving the skeletal musculature","DESCRIPTION_FULL":"Absence or underdevelopment of the musculature. [HPO:curators]"}
{"STANDARD_NAME":"HP_CONTIGUOUS_GENE_SYNDROME","SYSTEMATIC_NAME":"M35301","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001466","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001466","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Contiguous gene syndrome"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_INVOLVING_THE_MUSCULATURE_OF_THE_UPPER_LIMBS","SYSTEMATIC_NAME":"M41236","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001467","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001467","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia involving the musculature of the upper limbs","DESCRIPTION_FULL":"Absence or underdevelopment of the musculature of the upper limbs. [HPO:curators]"}
{"STANDARD_NAME":"HP_DELAYED_CLOSURE_OF_THE_ANTERIOR_FONTANELLE","SYSTEMATIC_NAME":"M35302","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001476","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001476","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Delayed closure of the anterior fontanelle","DESCRIPTION_FULL":"A delay in closure (ossification) of the anterior fontanelle, which generally undergoes closure around the 18th month of life. [HPO:probinson]"}
{"STANDARD_NAME":"HP_FRECKLING","SYSTEMATIC_NAME":"M35303","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001480","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001480","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Freckling","DESCRIPTION_FULL":"The presence of an increased number of freckles, small circular spots on the skin that are darker than the surrounding skin because of deposits of melanin. []"}
{"STANDARD_NAME":"HP_SUBCUTANEOUS_NODULE","SYSTEMATIC_NAME":"M35304","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001482","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001482","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Subcutaneous nodule","DESCRIPTION_FULL":"Slightly elevated lesions on or in the skin with a diameter of over 5 mm. [HPO:probinson]"}
{"STANDARD_NAME":"HP_BILATERAL_PTOSIS","SYSTEMATIC_NAME":"M35305","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001488","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001488","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Bilateral ptosis"}
{"STANDARD_NAME":"HP_CARPAL_BONE_HYPOPLASIA","SYSTEMATIC_NAME":"M35306","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001498","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001498","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Carpal bone hypoplasia","DESCRIPTION_FULL":"Underdevelopment of one or more carpal bones. [HPO:probinson]"}
{"STANDARD_NAME":"HP_BROAD_FINGER","SYSTEMATIC_NAME":"M35307","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001500","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001500","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Broad finger","DESCRIPTION_FULL":"Increased width of a non-thumb digit of the hand. [PMID:19125433]"}
{"STANDARD_NAME":"HP_FAILURE_TO_THRIVE","SYSTEMATIC_NAME":"M35308","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001508","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001508","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Failure to thrive","DESCRIPTION_FULL":"Failure to thrive (FTT) refers to a child whose physical growth is substantially below the norm. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INTRAUTERINE_GROWTH_RETARDATION","SYSTEMATIC_NAME":"M35309","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001511","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001511","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Intrauterine growth retardation","DESCRIPTION_FULL":"An abnormal restriction of fetal growth with fetal weight below the tenth percentile for gestational age. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SMALL_FOR_GESTATIONAL_AGE","SYSTEMATIC_NAME":"M35310","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001518","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001518","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Small for gestational age","DESCRIPTION_FULL":"Smaller than normal size according to sex and gestational age related norms, defined as a weight below the 10th percentile for the gestational age. [DDD:hfirth]"}
{"STANDARD_NAME":"HP_DISPROPORTIONATE_TALL_STATURE","SYSTEMATIC_NAME":"M35311","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001519","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001519","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Disproportionate tall stature","DESCRIPTION_FULL":"A tall and slim body build with increased arm span to height ratio (>1.05) and a reduced upper-to-lower segment ratio (<0.85), i.e., unusually long arms and legs. The extremities as well as the hands and feet are unusually slim. [DDD:hfirth, HPO:probinson]"}
{"STANDARD_NAME":"HP_LARGE_FOR_GESTATIONAL_AGE","SYSTEMATIC_NAME":"M35312","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001520","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001520","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Large for gestational age","DESCRIPTION_FULL":"The term large for gestational age applies to babies whose birth weight lies above the 90th percentile for that gestational age. [eMedicine:262679, HPO:probinson]"}
{"STANDARD_NAME":"HP_DEATH_IN_INFANCY","SYSTEMATIC_NAME":"M35313","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001522","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001522","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Death in infancy","DESCRIPTION_FULL":"Death within the first 24 months of life. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SEVERE_FAILURE_TO_THRIVE","SYSTEMATIC_NAME":"M35314","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001525","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001525","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Severe failure to thrive"}
{"STANDARD_NAME":"HP_HEMIHYPERTROPHY","SYSTEMATIC_NAME":"M35315","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001528","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001528","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hemihypertrophy","DESCRIPTION_FULL":"Overgrowth of only one side of the body. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MILD_POSTNATAL_GROWTH_RETARDATION","SYSTEMATIC_NAME":"M35316","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001530","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001530","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Mild postnatal growth retardation","DESCRIPTION_FULL":"A mild degree of slow or limited growth after birth, being between two and three standard deviations below age- and sex-related norms. [DDD:hfirth]"}
{"STANDARD_NAME":"HP_FAILURE_TO_THRIVE_IN_INFANCY","SYSTEMATIC_NAME":"M35317","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001531","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001531","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Failure to thrive in infancy"}
{"STANDARD_NAME":"HP_SLENDER_BUILD","SYSTEMATIC_NAME":"M35318","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001533","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001533","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Slender build","DESCRIPTION_FULL":"Asthenic habitus refers to a slender build with long limbs, an angular profile, and prominent muscles or bones. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PROTUBERANT_ABDOMEN","SYSTEMATIC_NAME":"M35319","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001538","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001538","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Protuberant abdomen","DESCRIPTION_FULL":"A thrusting or bulging out of the abdomen. [HPO:probinson]"}
{"STANDARD_NAME":"HP_OMPHALOCELE","SYSTEMATIC_NAME":"M35320","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001539","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001539","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Omphalocele","DESCRIPTION_FULL":"A midline anterior incomplete closure of the abdominal wall in which there is herniation of the abdominal viscera into the base of the abdominal cord. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DIASTASIS_RECTI","SYSTEMATIC_NAME":"M35321","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001540","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001540","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Diastasis recti","DESCRIPTION_FULL":"A separation of the rectus abdominis muscle into right and left halves (which are normally joined at the midline at the linea alba). [HPO:probinson]"}
{"STANDARD_NAME":"HP_ASCITES","SYSTEMATIC_NAME":"M35322","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001541","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001541","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ascites","DESCRIPTION_FULL":"Accumulation of fluid in the peritoneal cavity. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PROMINENT_UMBILICUS","SYSTEMATIC_NAME":"M41237","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001544","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001544","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Prominent umbilicus","DESCRIPTION_FULL":"Abnormally prominent umbilicus (belly button). [HPO:curators]"}
{"STANDARD_NAME":"HP_ANTERIORLY_PLACED_ANUS","SYSTEMATIC_NAME":"M35323","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001545","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001545","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Anteriorly placed anus","DESCRIPTION_FULL":"Anterior malposition of the anus. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_RIB_CAGE_MORPHOLOGY","SYSTEMATIC_NAME":"M35324","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001547","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001547","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal rib cage morphology","DESCRIPTION_FULL":"A morphological anomaly of the rib cage. [HPO:probinson]"}
{"STANDARD_NAME":"HP_OVERGROWTH","SYSTEMATIC_NAME":"M35325","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001548","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001548","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Overgrowth","DESCRIPTION_FULL":"Excessive postnatal growth which may comprise increased weight, increased length, and/or increased head circumference. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_ILEUM_MORPHOLOGY","SYSTEMATIC_NAME":"M35326","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001549","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001549","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal ileum morphology"}
{"STANDARD_NAME":"HP_ABNORMAL_UMBILICUS_MORPHOLOGY","SYSTEMATIC_NAME":"M35327","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001551","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001551","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal umbilicus morphology","DESCRIPTION_FULL":"An abnormality of the structure or appearance of the umbilicus. [HPO:probinson]"}
{"STANDARD_NAME":"HP_BARREL_SHAPED_CHEST","SYSTEMATIC_NAME":"M35328","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001552","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001552","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Barrel-shaped chest","DESCRIPTION_FULL":"A rounded, bulging chest that resembles the shape of a barrel. That is, there is an increased anteroposterior diameter and usually some degree of kyphosis. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ASYMMETRY_OF_THE_THORAX","SYSTEMATIC_NAME":"M35329","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001555","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001555","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Asymmetry of the thorax","DESCRIPTION_FULL":"Lack of symmetry between the left and right halves of the thorax. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PRENATAL_MOVEMENT_ABNORMALITY","SYSTEMATIC_NAME":"M35330","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001557","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001557","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Prenatal movement abnormality","DESCRIPTION_FULL":"An abnormality of fetal movement. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_AMNIOTIC_FLUID","SYSTEMATIC_NAME":"M35331","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001560","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001560","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the amniotic fluid","DESCRIPTION_FULL":"Abnormality of the amniotic fluid, which is the fluid contained in the amniotic sac surrounding the developing fetus. [HPO:curators]"}
{"STANDARD_NAME":"HP_POLYHYDRAMNIOS","SYSTEMATIC_NAME":"M35332","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001561","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001561","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Polyhydramnios","DESCRIPTION_FULL":"The presence of excess amniotic fluid in the uterus during pregnancy. [HPO:probinson]"}
{"STANDARD_NAME":"HP_OLIGOHYDRAMNIOS","SYSTEMATIC_NAME":"M35333","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001562","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001562","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Oligohydramnios","DESCRIPTION_FULL":"Diminished amniotic fluid volume in pregnancy. [HPO:probinson]"}
{"STANDARD_NAME":"HP_FETAL_POLYURIA","SYSTEMATIC_NAME":"M35334","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001563","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001563","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Fetal polyuria","DESCRIPTION_FULL":"Abnormally increased production of urine by the fetus resulting in polyhydramnios. [HPO:probinson, PMID:21460147]"}
{"STANDARD_NAME":"HP_WIDELY_SPACED_MAXILLARY_CENTRAL_INCISORS","SYSTEMATIC_NAME":"M35335","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001566","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001566","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Widely-spaced maxillary central incisors","DESCRIPTION_FULL":"Increased distance between the maxillary central permanent incisor tooth. [HPO:ibailleulforestier]"}
{"STANDARD_NAME":"HP_MACRODONTIA","SYSTEMATIC_NAME":"M35336","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001572","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001572","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Macrodontia","DESCRIPTION_FULL":"Increased size of the teeth, which can be defined as a mesiodistal tooth diameter (width) more than 2 SD above mean for age. Alternatively, an apparently increased maximum width of the tooth. [HPO:ibailleulforestier, PMID:19125428]"}
{"STANDARD_NAME":"HP_MOOD_CHANGES","SYSTEMATIC_NAME":"M35337","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001575","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001575","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Mood changes"}
{"STANDARD_NAME":"HP_PRIMARY_HYPERCORTISOLISM","SYSTEMATIC_NAME":"M41238","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001579","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001579","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Primary hypercortisolism","DESCRIPTION_FULL":"Hypercortisolemia associated with a primary defect of the adrenal gland leading to overproduction of cortisol. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RECURRENT_SKIN_INFECTIONS","SYSTEMATIC_NAME":"M35338","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001581","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001581","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Recurrent skin infections","DESCRIPTION_FULL":"Infections of the skin that happen multiple times. [HPO:curators]"}
{"STANDARD_NAME":"HP_REDUNDANT_SKIN","SYSTEMATIC_NAME":"M35339","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001582","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001582","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Redundant skin","DESCRIPTION_FULL":"Loose and sagging skin often associated with loss of skin elasticity. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ROTARY_NYSTAGMUS","SYSTEMATIC_NAME":"M35340","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001583","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001583","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Rotary nystagmus","DESCRIPTION_FULL":"A form of nystagmus in which the eyeball makes rotary motions around the axis. [HPO:probinson]"}
{"STANDARD_NAME":"HP_BELL_SHAPED_THORAX","SYSTEMATIC_NAME":"M35341","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001591","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001591","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Bell-shaped thorax","DESCRIPTION_FULL":"The rib cage has the shape of a wide mouthed bell. That is, the superior portion of the rib cage is constricted, followed by a convex region, and the inferior portion of the rib cage expands again to have a large diameter. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SELECTIVE_TOOTH_AGENESIS","SYSTEMATIC_NAME":"M35342","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001592","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001592","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Selective tooth agenesis","DESCRIPTION_FULL":"Agenesis specifically affecting one of the classes incisor, premolar, or molar. [HPO:ibailleulforestier]"}
{"STANDARD_NAME":"HP_ABNORMAL_HAIR_MORPHOLOGY","SYSTEMATIC_NAME":"M41239","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001595","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001595","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal hair morphology","DESCRIPTION_FULL":"An abnormality of the hair. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ALOPECIA","SYSTEMATIC_NAME":"M35343","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001596","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001596","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Alopecia","DESCRIPTION_FULL":"A noncongenital process of hair loss, which may progress to partial or complete baldness. [PMID:14676077]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_NAIL","SYSTEMATIC_NAME":"M35344","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001597","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001597","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the nail","DESCRIPTION_FULL":"Abnormality of the nail. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CONCAVE_NAIL","SYSTEMATIC_NAME":"M35345","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001598","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001598","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Concave nail","DESCRIPTION_FULL":"The natural longitudinal (posterodistal) convex arch is not present or is inverted. [PMID:19125433]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_LARYNX","SYSTEMATIC_NAME":"M35346","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001600","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001600","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the larynx","DESCRIPTION_FULL":"An abnormality of the larynx. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LARYNGOMALACIA","SYSTEMATIC_NAME":"M35347","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001601","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001601","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Laryngomalacia","DESCRIPTION_FULL":"Laryngomalacia is a congenital abnormality of the laryngeal cartilage in which the cartilage is floppy and prolapses over the larynx during inspiration. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LARYNGEAL_STENOSIS","SYSTEMATIC_NAME":"M35348","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001602","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001602","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Laryngeal stenosis","DESCRIPTION_FULL":"Stricture or narrowing of the larynx that may be associated with symptoms of respiratory difficulty depending on the degree of laryngeal narrowing. [HPO:probinson]"}
{"STANDARD_NAME":"HP_VOCAL_CORD_PARESIS","SYSTEMATIC_NAME":"M35349","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001604","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001604","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Vocal cord paresis","DESCRIPTION_FULL":"Decreased strength of the vocal folds. [HPO:probinson]"}
{"STANDARD_NAME":"HP_VOCAL_CORD_PARALYSIS","SYSTEMATIC_NAME":"M35350","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001605","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001605","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Vocal cord paralysis","DESCRIPTION_FULL":"A loss of the ability to move the vocal folds. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SUBGLOTTIC_STENOSIS","SYSTEMATIC_NAME":"M35351","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001607","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001607","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Subglottic stenosis"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_VOICE","SYSTEMATIC_NAME":"M35352","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001608","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001608","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the voice"}
{"STANDARD_NAME":"HP_HOARSE_VOICE","SYSTEMATIC_NAME":"M35353","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001609","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001609","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hoarse voice","DESCRIPTION_FULL":"Hoarseness refers to a change in the pitch or quality of the voice, with the voice sounding weak, very breathy, scratchy, or husky. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NASAL_SPEECH","SYSTEMATIC_NAME":"M35354","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001611","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001611","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Nasal speech","DESCRIPTION_FULL":"A type of speech characterized by the presence of an abnormally increased nasal airflow during speech. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_WEAK_CRY","SYSTEMATIC_NAME":"M35355","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001612","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001612","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Weak cry"}
{"STANDARD_NAME":"HP_HOARSE_CRY","SYSTEMATIC_NAME":"M35356","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001615","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001615","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hoarse cry"}
{"STANDARD_NAME":"HP_DYSPHONIA","SYSTEMATIC_NAME":"M35357","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001618","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001618","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Dysphonia","DESCRIPTION_FULL":"An impairment in the ability to produce voice sounds. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HIGH_PITCHED_VOICE","SYSTEMATIC_NAME":"M35358","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001620","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001620","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"High pitched voice","DESCRIPTION_FULL":"An abnormal increase in the pitch (frequency) of the voice. [HPO:probinson]"}
{"STANDARD_NAME":"HP_WEAK_VOICE","SYSTEMATIC_NAME":"M35359","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001621","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001621","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Weak voice","DESCRIPTION_FULL":"Reduced intensity (volume) of speech. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PREMATURE_BIRTH","SYSTEMATIC_NAME":"M35360","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001622","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001622","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Premature birth","DESCRIPTION_FULL":"The birth of a baby of less than 37 weeks of gestational age. [HPO:probinson]"}
{"STANDARD_NAME":"HP_BREECH_PRESENTATION","SYSTEMATIC_NAME":"M35361","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001623","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001623","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Breech presentation","DESCRIPTION_FULL":"A position of the fetus at delivery in which the fetus enters the birth canal with the buttocks or feet first. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_MITRAL_VALVE_MORPHOLOGY","SYSTEMATIC_NAME":"M35363","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001633","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001633","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal mitral valve morphology","DESCRIPTION_FULL":"Any structural anomaly of the mitral valve. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MITRAL_VALVE_PROLAPSE","SYSTEMATIC_NAME":"M41240","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001634","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001634","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Mitral valve prolapse","DESCRIPTION_FULL":"One or both of the leaflets (cusps) of the mitral valve bulges back into the left atrium upon contraction of the left ventricle. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CONGESTIVE_HEART_FAILURE","SYSTEMATIC_NAME":"M35364","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001635","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001635","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Congestive heart failure","DESCRIPTION_FULL":"The presence of an abnormality of cardiac function that is responsible for the failure of the heart to pump blood at a rate that is commensurate with the needs of the tissues or a state in which abnormally elevated filling pressures are required for the heart to do so. Heart failure is frequently related to a defect in myocardial contraction. [HPO:probinson]"}
{"STANDARD_NAME":"HP_TETRALOGY_OF_FALLOT","SYSTEMATIC_NAME":"M35365","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001636","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001636","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Tetralogy of Fallot","DESCRIPTION_FULL":"A congenital cardiac malformation comprising pulmonary stenosis, overriding aorta, ventricular septum defect, and right ventricular hypertrophy. The diagnosis of TOF is made if at least three of the four above mentioned features are present. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_MYOCARDIUM_MORPHOLOGY","SYSTEMATIC_NAME":"M35366","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001637","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001637","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal myocardium morphology","DESCRIPTION_FULL":"A structural anomaly of the muscle layer of the heart wall. []"}
{"STANDARD_NAME":"HP_HYPERTROPHIC_CARDIOMYOPATHY","SYSTEMATIC_NAME":"M35367","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001639","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001639","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypertrophic cardiomyopathy","DESCRIPTION_FULL":"Hypertrophic cardiomyopathy (HCM) is defined by the presence of increased ventricular wall thickness or mass in the absence of loading conditions (hypertension, valve disease) sufficient to cause the observed abnormality. [PMID:17916581]"}
{"STANDARD_NAME":"HP_CARDIOMEGALY","SYSTEMATIC_NAME":"M35368","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001640","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001640","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cardiomegaly","DESCRIPTION_FULL":"Increased size of the heart, clinically defined as an increased transverse diameter of the cardiac silhouette that is greater than or equal to 50% of the transverse diameter of the chest (increased cardiothoracic ratio) on a posterior-anterior projection of a chest radiograph or a computed tomography. [HPO:probinson, PMID:31194436]"}
{"STANDARD_NAME":"HP_ABNORMAL_PULMONARY_VALVE_MORPHOLOGY","SYSTEMATIC_NAME":"M35369","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001641","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001641","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal pulmonary valve morphology","DESCRIPTION_FULL":"Any structural abnormality of the pulmonary valve. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PULMONIC_STENOSIS","SYSTEMATIC_NAME":"M35370","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001642","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001642","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pulmonic stenosis","DESCRIPTION_FULL":"A narrowing of the right ventricular outflow tract that can occur at the pulmonary valve (valvular stenosis) or just below the pulmonary valve (infundibular stenosis). [HPO:probinson]"}
{"STANDARD_NAME":"HP_PATENT_DUCTUS_ARTERIOSUS","SYSTEMATIC_NAME":"M35371","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001643","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001643","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Patent ductus arteriosus","DESCRIPTION_FULL":"In utero, the ductus arteriosus (DA) serves to divert ventricular output away from the lungs and toward the placenta by connecting the main pulmonary artery to the descending aorta. A patent ductus arteriosus (PDA) in the first 3 days of life is a physiologic shunt in healthy term and preterm newborn infants, and normally is substantially closed within about 24 hours after bith and completely closed after about three weeks. Failure of physiologcal closure is referred to a persistent or patent ductus arteriosus (PDA). Depending on the degree of left-to-right shunting, PDA can have clinical consequences. [HPO:probinson, PMID:20421261]"}
{"STANDARD_NAME":"HP_DILATED_CARDIOMYOPATHY","SYSTEMATIC_NAME":"M35372","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001644","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001644","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Dilated cardiomyopathy","DESCRIPTION_FULL":"Dilated cardiomyopathy (DCM) is defined by the presence of left ventricular dilatation and left ventricular systolic dysfunction in the absence of abnormal loading conditions (hypertension, valve disease) or coronary artery disease sufficient to cause global systolic impairment. Right ventricular dilation and dysfunction may be present but are not necessary for the diagnosis. [PMID:17916581]"}
{"STANDARD_NAME":"HP_ABNORMAL_AORTIC_VALVE_MORPHOLOGY","SYSTEMATIC_NAME":"M35374","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001646","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001646","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal aortic valve morphology","DESCRIPTION_FULL":"Any abnormality of the aortic valve. [HPO:curators]"}
{"STANDARD_NAME":"HP_COR_PULMONALE","SYSTEMATIC_NAME":"M35375","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001648","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001648","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cor pulmonale","DESCRIPTION_FULL":"Right-sided heart failure resulting from chronic hypertension in the pulmonary arteries and right ventricle. [HPO:probinson]"}
{"STANDARD_NAME":"HP_TACHYCARDIA","SYSTEMATIC_NAME":"M35376","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001649","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001649","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Tachycardia","DESCRIPTION_FULL":"A rapid heartrate that exceeds the range of the normal resting heartrate for age. [HPO:probinson]"}
{"STANDARD_NAME":"HP_AORTIC_VALVE_STENOSIS","SYSTEMATIC_NAME":"M35377","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001650","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001650","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aortic valve stenosis","DESCRIPTION_FULL":"The presence of a stenosis (narrowing) of the aortic valve. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_HEART_VALVE_MORPHOLOGY","SYSTEMATIC_NAME":"M35378","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001654","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001654","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal heart valve morphology","DESCRIPTION_FULL":"Any structural abnormality of a cardiac valve. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PATENT_FORAMEN_OVALE","SYSTEMATIC_NAME":"M35379","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001655","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001655","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Patent foramen ovale","DESCRIPTION_FULL":"Failure of the foramen ovale to seal postnatally, leaving a potential conduit between the left and right cardiac atria. [DDD:dbrown, HPO:probinson]"}
{"STANDARD_NAME":"HP_MYOCARDIAL_INFARCTION","SYSTEMATIC_NAME":"M35380","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001658","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001658","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Myocardial infarction","DESCRIPTION_FULL":"Necrosis of the myocardium caused by an obstruction of the blood supply to the heart and often associated with chest pain, shortness of breath, palpitations, and anxiety as well as characteristic EKG findings and elevation of serum markers including creatine kinase-MB fraction and troponin. [HPO:probinson]"}
{"STANDARD_NAME":"HP_AORTIC_REGURGITATION","SYSTEMATIC_NAME":"M35381","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001659","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001659","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aortic regurgitation","DESCRIPTION_FULL":"An insufficiency of the aortic valve, leading to regurgitation (backward flow) of blood from the aorta into the left ventricle. [HPO:probinson]"}
{"STANDARD_NAME":"HP_TRUNCUS_ARTERIOSUS","SYSTEMATIC_NAME":"M35382","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001660","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001660","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Truncus arteriosus","DESCRIPTION_FULL":"A single arterial trunk arises from the cardiac mass. The pulmonary arteries, aorta and coronary arteries arise from this single trunk with no evidence of another outflow tract. [DDD:dbrown, HPO:probinson]"}
{"STANDARD_NAME":"HP_BRADYCARDIA","SYSTEMATIC_NAME":"M35383","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001662","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001662","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Bradycardia","DESCRIPTION_FULL":"A slower than normal heart rate (in adults, slower than 60 beats per minute). [HPO:probinson]"}
{"STANDARD_NAME":"HP_VENTRICULAR_FIBRILLATION","SYSTEMATIC_NAME":"M35384","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001663","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001663","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ventricular fibrillation","DESCRIPTION_FULL":"Uncontrolled contractions of muscles fibers in the left ventricle not producing contraction of the left ventricle. Ventricular fibrillation usually begins with a ventricular premature contraction and a short run of rapid ventricular tachycardia degenerating into uncoordinating ventricular fibrillations. [HPO:probinson]"}
{"STANDARD_NAME":"HP_TORSADE_DE_POINTES","SYSTEMATIC_NAME":"M35385","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001664","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001664","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Torsade de pointes","DESCRIPTION_FULL":"A type of ventricular tachycardia characterized by polymorphioc QRS complexes that change in amplitue and cycle length, and thus have the appearance of oscillating around the baseline in the EKG. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RIGHT_VENTRICULAR_HYPERTROPHY","SYSTEMATIC_NAME":"M35386","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001667","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001667","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Right ventricular hypertrophy","DESCRIPTION_FULL":"In this case the right ventricle is more muscular than normal, causing a characteristic boot-shaped (coeur-en-sabot) appearance as seen on anterior- posterior chest x-rays. Right ventricular hypertrophy is commonly associated with any form of right ventricular outflow obstruction or pulmonary hypertension, which may in turn owe its origin to left-sided disease. The echocardiographic signs are thickening of the anterior right ventricular wall and the septum. Cavity size is usually normal, or slightly enlarged. In many cases there is associated volume overload present due to tricuspid regurgitation, in the absence of this, septal motion is normal. [HPO:probinson]"}
{"STANDARD_NAME":"HP_TRANSPOSITION_OF_THE_GREAT_ARTERIES","SYSTEMATIC_NAME":"M35387","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001669","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001669","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Transposition of the great arteries","DESCRIPTION_FULL":"A complex congenital heart defect in which the aorta arises from the morphologic right ventricle and the pulmonary artery arises from the morphologic left ventricle. [eMedicine:900574, HPO:probinson, PMID:10798431]"}
{"STANDARD_NAME":"HP_ASYMMETRIC_SEPTAL_HYPERTROPHY","SYSTEMATIC_NAME":"M35388","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001670","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001670","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Asymmetric septal hypertrophy","DESCRIPTION_FULL":"Hypertrophic cardiomyopathy with an asymmetrical pattern of hypertrophy, with a predilection for the interventricular septum and myocyte disarray. [HPO:probinson, PMID:17916581]"}
{"STANDARD_NAME":"HP_ABNORMAL_CARDIAC_SEPTUM_MORPHOLOGY","SYSTEMATIC_NAME":"M35389","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001671","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001671","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal cardiac septum morphology","DESCRIPTION_FULL":"An anomaly of the intra-atrial or intraventricular septum. [HPO:probinson]"}
{"STANDARD_NAME":"HP_COMPLETE_ATRIOVENTRICULAR_CANAL_DEFECT","SYSTEMATIC_NAME":"M35390","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001674","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001674","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Complete atrioventricular canal defect","DESCRIPTION_FULL":"A congenital heart defect characterized by a specific combination of heart defects with a common atrioventricular valve, primum atrial septal defect and inlet ventricular septal defect. [DDD:dbrown, HPO:probinson, PMID:16722604]"}
{"STANDARD_NAME":"HP_CORONARY_ARTERY_ATHEROSCLEROSIS","SYSTEMATIC_NAME":"M35391","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001677","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001677","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Coronary artery atherosclerosis","DESCRIPTION_FULL":"Reduction of the diameter of the coronary arteries as the result of an accumulation of atheromatous plaques within the walls of the coronary arteries, which increases the risk of myocardial ischemia. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_AORTIC_MORPHOLOGY","SYSTEMATIC_NAME":"M35392","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001679","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001679","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal aortic morphology","DESCRIPTION_FULL":"An abnormality of the aorta. [HPO:probinson, PMID:24910511]"}
{"STANDARD_NAME":"HP_COARCTATION_OF_AORTA","SYSTEMATIC_NAME":"M35393","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001680","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001680","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Coarctation of aorta","DESCRIPTION_FULL":"Coarctation of the aorta is a narrowing or constriction of a segment of the aorta. [HPO:probinson, PMID:23909637]"}
{"STANDARD_NAME":"HP_ANGINA_PECTORIS","SYSTEMATIC_NAME":"M35394","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001681","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001681","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Angina pectoris","DESCRIPTION_FULL":"Paroxysmal chest pain that occurs with exertion or stress and is related to myocardial ischemia. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SUBVALVULAR_AORTIC_STENOSIS","SYSTEMATIC_NAME":"M35395","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001682","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001682","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Subvalvular aortic stenosis","DESCRIPTION_FULL":"A fixed form of obstruction to blood flow across the left-ventricular outflow tract related to stenosis (narrowing) below the level of the aortic valve. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SECUNDUM_ATRIAL_SEPTAL_DEFECT","SYSTEMATIC_NAME":"M35396","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001684","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001684","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Secundum atrial septal defect","DESCRIPTION_FULL":"A kind of atrial septum defect arising from an enlarged foramen ovale, inadequate growth of the septum secundum, or excessive absorption of the septum primum. [DDD:dbrown, HPO:probinson]"}
{"STANDARD_NAME":"HP_MYOCARDIAL_FIBROSIS","SYSTEMATIC_NAME":"M35397","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001685","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001685","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Myocardial fibrosis","DESCRIPTION_FULL":"Myocardial fibrosis is characterized by dysregulated collagen turnover (increased synthesis predominates over unchanged or decreased degradation) and excessive diffuse collagen accumulation in the interstitial and perivascular spaces as well as by phenotypically transformed fibroblasts, termed myofibroblasts. [PMID:28157267]"}
{"STANDARD_NAME":"HP_LOSS_OF_VOICE","SYSTEMATIC_NAME":"M41241","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001686","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001686","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Loss of voice"}
{"STANDARD_NAME":"HP_SINUS_BRADYCARDIA","SYSTEMATIC_NAME":"M35398","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001688","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001688","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Sinus bradycardia","DESCRIPTION_FULL":"Bradycardia related to a mean resting sinus rate of less than 50 beats per minute. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ATRIAL_ARRHYTHMIA","SYSTEMATIC_NAME":"M35399","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001692","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001692","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Atrial arrhythmia","DESCRIPTION_FULL":"A type of supraventricular tachycardia in which the atria are the principal site of electrophysiologic disturbance. [DDD:dbrown]"}
{"STANDARD_NAME":"HP_CARDIAC_SHUNT","SYSTEMATIC_NAME":"M41242","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001693","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001693","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cardiac shunt","DESCRIPTION_FULL":"Pattern of blood flow in the heart that deviates from the normal circuit of the circulatory system. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CARDIAC_ARREST","SYSTEMATIC_NAME":"M35400","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001695","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001695","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cardiac arrest","DESCRIPTION_FULL":"An abrupt loss of heart function. []"}
{"STANDARD_NAME":"HP_ABNORMAL_PERICARDIUM_MORPHOLOGY","SYSTEMATIC_NAME":"M35401","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001697","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001697","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal pericardium morphology","DESCRIPTION_FULL":"An abnormality of the pericardium, i.e., of the fluid filled sac that surrounds the heart and the proximal ends of the aorta, vena cava, and the pulmonary artery. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PERICARDIAL_EFFUSION","SYSTEMATIC_NAME":"M35402","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001698","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001698","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pericardial effusion","DESCRIPTION_FULL":"Accumulation of fluid within the pericardium. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SUDDEN_DEATH","SYSTEMATIC_NAME":"M35403","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001699","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001699","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Sudden death","DESCRIPTION_FULL":"Rapid and unexpected death. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_TRICUSPID_VALVE_MORPHOLOGY","SYSTEMATIC_NAME":"M35404","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001702","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001702","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal tricuspid valve morphology","DESCRIPTION_FULL":"Any structural anomaly of the tricuspid valve. [HPO:probinson]"}
{"STANDARD_NAME":"HP_TRICUSPID_VALVE_PROLAPSE","SYSTEMATIC_NAME":"M35405","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001704","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001704","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Tricuspid valve prolapse","DESCRIPTION_FULL":"One or more of the leaflets (cusps) of the tricuspid valve bulges back into the right atrium upon contraction of the right ventricle. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ENDOCARDIAL_FIBROELASTOSIS","SYSTEMATIC_NAME":"M35406","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001706","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001706","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Endocardial fibroelastosis","DESCRIPTION_FULL":"Diffuse thickening of the ventricular endocardium and by associated myocardial dysfunction [PMID:23109776]"}
{"STANDARD_NAME":"HP_ABNORMAL_RIGHT_VENTRICLE_MORPHOLOGY","SYSTEMATIC_NAME":"M35407","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001707","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001707","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal right ventricle morphology","DESCRIPTION_FULL":"An abnormality of the right ventricle of the heart. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RIGHT_VENTRICULAR_FAILURE","SYSTEMATIC_NAME":"M35408","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001708","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001708","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Right ventricular failure","DESCRIPTION_FULL":"Reduced ability of the right ventricle to perform its function (to receive blood from the right atrium and to eject blood into the pulmonary artery), often leading to pitting peripheral edema, ascites, and hepatomegaly. [HPO:probinson]"}
{"STANDARD_NAME":"HP_THIRD_DEGREE_ATRIOVENTRICULAR_BLOCK","SYSTEMATIC_NAME":"M35409","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001709","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001709","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Third degree atrioventricular block","DESCRIPTION_FULL":"Third-degree atrioventricular (AV) block (also referred to as complete heart block) is the complete dissociation of the atria and the ventricles. Third-degree AV block exists when more P waves than QRS complexes exist and no relationship (no conduction) exists between them. [PMID:21841933]"}
{"STANDARD_NAME":"HP_ABNORMAL_LEFT_VENTRICLE_MORPHOLOGY","SYSTEMATIC_NAME":"M35410","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001711","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001711","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal left ventricle morphology","DESCRIPTION_FULL":"Any structural abnormality of the left ventricle of the heart. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LEFT_VENTRICULAR_HYPERTROPHY","SYSTEMATIC_NAME":"M35411","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001712","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001712","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Left ventricular hypertrophy","DESCRIPTION_FULL":"Enlargement or increased size of the heart left ventricle. [MP:0002625]"}
{"STANDARD_NAME":"HP_ABNORMAL_CARDIAC_VENTRICLE_MORPHOLOGY","SYSTEMATIC_NAME":"M35412","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001713","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001713","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal cardiac ventricle morphology","DESCRIPTION_FULL":"An abnormality of a cardiac ventricle. [HPO:probinson]"}
{"STANDARD_NAME":"HP_VENTRICULAR_HYPERTROPHY","SYSTEMATIC_NAME":"M35413","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001714","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001714","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ventricular hypertrophy","DESCRIPTION_FULL":"Enlargement of the cardiac ventricular muscle tissue with increase in the width of the wall of the ventricle and loss of elasticity. Ventricular hypertrophy is clinically differentiated into left and right ventricular hypertrophy. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MITRAL_STENOSIS","SYSTEMATIC_NAME":"M35414","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001718","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001718","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Mitral stenosis","DESCRIPTION_FULL":"An abnormal narrowing of the orifice of the mitral valve. [DDD:dbrown]"}
{"STANDARD_NAME":"HP_HIGH_OUTPUT_CONGESTIVE_HEART_FAILURE","SYSTEMATIC_NAME":"M41243","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001722","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001722","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"High-output congestive heart failure","DESCRIPTION_FULL":"A form of heart failure characterized by elevated cardiac output. This may be seen in patients with heart failure and hyperthyroidism, anemia, pregnancy, arteriovenous fistulae, and others. [HPO:curators]"}
{"STANDARD_NAME":"HP_RESTRICTIVE_CARDIOMYOPATHY","SYSTEMATIC_NAME":"M35415","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001723","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001723","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Restrictive cardiomyopathy","DESCRIPTION_FULL":"Restrictive left ventricular physiology is characterized by a pattern of ventricular filling in which increased stiffness of the myocardium causes ventricular pressure to rise precipitously with only small increases in volume, defined as restrictive ventricular physiology in the presence of normal or reduced diastolic volumes (of one or both ventricles), normal or reduced systolic volumes, and normal ventricular wall thickness. [HPO:probinson, PMID:17916581]"}
{"STANDARD_NAME":"HP_PROGRESSIVE_HEARING_IMPAIRMENT","SYSTEMATIC_NAME":"M35416","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001730","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001730","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Progressive hearing impairment","DESCRIPTION_FULL":"A progressive form of hearing impairment. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_PANCREAS","SYSTEMATIC_NAME":"M35417","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001732","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001732","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the pancreas","DESCRIPTION_FULL":"An abnormality of the pancreas. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PANCREATITIS","SYSTEMATIC_NAME":"M35418","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001733","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001733","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pancreatitis","DESCRIPTION_FULL":"The presence of inflammation in the pancreas. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ANNULAR_PANCREAS","SYSTEMATIC_NAME":"M35419","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001734","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001734","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Annular pancreas","DESCRIPTION_FULL":"A congenital anomaly in which the pancreas completely (or sometimes incompletely) encircles the second portion of duodenum and occasionally obstructs the more proximal duodenum. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ACUTE_PANCREATITIS","SYSTEMATIC_NAME":"M35420","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001735","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001735","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Acute pancreatitis","DESCRIPTION_FULL":"A acute form of pancreatitis. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PANCREATIC_CYSTS","SYSTEMATIC_NAME":"M35421","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001737","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001737","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pancreatic cysts","DESCRIPTION_FULL":"A cyst of the pancreas that possess a lining of mucous epithelium. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PHIMOSIS","SYSTEMATIC_NAME":"M35423","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001741","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001741","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Phimosis","DESCRIPTION_FULL":"The male foreskin cannot be fully retracted from the head of the penis. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_NASAL_OBSTRUCTION","SYSTEMATIC_NAME":"M35424","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001742","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001742","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Nasal obstruction","DESCRIPTION_FULL":"Reduced ability to pass air through the nasal cavity often leading to mouth breathing. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_SPLEEN","SYSTEMATIC_NAME":"M35425","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001743","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001743","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the spleen","DESCRIPTION_FULL":"An abnormality of the spleen. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SPLENOMEGALY","SYSTEMATIC_NAME":"M35426","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001744","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001744","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Splenomegaly","DESCRIPTION_FULL":"Abnormal increased size of the spleen. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ACCESSORY_SPLEEN","SYSTEMATIC_NAME":"M35427","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001747","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001747","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Accessory spleen","DESCRIPTION_FULL":"An accessory spleen is a round, iso-echogenic, homogenic and smooth structure and is seen as a normal variant mostly on the medial contour of the spleen, near the hilus or around the lower pole. This has no pathogenic relevance. [HPO:probinson]"}
{"STANDARD_NAME":"HP_POLYSPLENIA","SYSTEMATIC_NAME":"M35428","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001748","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001748","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Polysplenia","DESCRIPTION_FULL":"Polysplenia is a congenital disease manifested by multiple small accessory spleens. [HPO:curators]"}
{"STANDARD_NAME":"HP_SINGLE_VENTRICLE","SYSTEMATIC_NAME":"M35429","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001750","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001750","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Single ventricle","DESCRIPTION_FULL":"The presence of only one working lower chamber in the heart, usually with a virtual absence of the ventricular septum and usually present in conjunction with double inlet left or right ventricle. [MP:0010432]"}
{"STANDARD_NAME":"HP_VESTIBULAR_DYSFUNCTION","SYSTEMATIC_NAME":"M35430","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001751","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001751","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Vestibular dysfunction","DESCRIPTION_FULL":"An abnormality of the functioning of the vestibular apparatus. [HPO:probinson]"}
{"STANDARD_NAME":"HP_VESTIBULAR_HYPOFUNCTION","SYSTEMATIC_NAME":"M35431","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001756","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001756","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Vestibular hypofunction","DESCRIPTION_FULL":"Reduced functioning of the vestibular apparatus. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HIGH_FREQUENCY_SENSORINEURAL_HEARING_IMPAIRMENT","SYSTEMATIC_NAME":"M41244","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001757","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001757","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"High-frequency sensorineural hearing impairment","DESCRIPTION_FULL":"A form of sensorineural hearing impairment that affects primarily the higher frequencies. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PES_CAVUS","SYSTEMATIC_NAME":"M35433","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001761","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001761","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pes cavus","DESCRIPTION_FULL":"The presence of an unusually high plantar arch. Also called high instep, pes cavus refers to a distinctly hollow form of the sole of the foot when it is bearing weight. [HPO:probinson, PMID:19125433]"}
{"STANDARD_NAME":"HP_TALIPES_EQUINOVARUS","SYSTEMATIC_NAME":"M35434","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001762","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001762","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Talipes equinovarus","DESCRIPTION_FULL":"Talipes equinovarus (also called clubfoot) typically has four main components: inversion and adduction of the forefoot; inversion of the heel and hindfoot; equinus (limitation of extension) of the ankle and subtalar joint; and internal rotation of the leg. [HPO:probinson, PMID:32491773]"}
{"STANDARD_NAME":"HP_PES_PLANUS","SYSTEMATIC_NAME":"M35435","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001763","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001763","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pes planus","DESCRIPTION_FULL":"A foot where the longitudinal arch of the foot is in contact with the ground or floor when the individual is standing; or, in a patient lying supine, a foot where the arch is in contact with the surface of a flat board pressed against the sole of the foot by the examiner with a pressure similar to that expected from weight bearing; or, the height of the arch is reduced. [HPO:probinson, PMID:19125433]"}
{"STANDARD_NAME":"HP_HAMMERTOE","SYSTEMATIC_NAME":"M35436","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001765","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001765","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hammertoe","DESCRIPTION_FULL":"Hyperextension of the metatarsal-phalangeal joint with hyperflexion of the proximal interphalangeal (PIP) joint. [PMID:19125433]"}
{"STANDARD_NAME":"HP_BROAD_FOOT","SYSTEMATIC_NAME":"M35437","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001769","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001769","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Broad foot","DESCRIPTION_FULL":"A foot for which the measured width is above the 95th centile for age; or, a foot that appears disproportionately wide for its length. [PMID:19125433]"}
{"STANDARD_NAME":"HP_TOE_SYNDACTYLY","SYSTEMATIC_NAME":"M35438","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001770","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001770","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Toe syndactyly","DESCRIPTION_FULL":"Webbing or fusion of the toes, involving soft parts only or including bone structure. Bony fusions are referred to as \\bony\\ Syndactyly if the fusion occurs in a radio-ulnar axis. Fusions of bones of the toes in a proximo-distal axis are referred to as \\Symphalangism\\. [HPO:curators]"}
{"STANDARD_NAME":"HP_ACHILLES_TENDON_CONTRACTURE","SYSTEMATIC_NAME":"M35439","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001771","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001771","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Achilles tendon contracture","DESCRIPTION_FULL":"A contracture of the Achilles tendon. [HPO:probinson]"}
{"STANDARD_NAME":"HP_TALIPES_EQUINOVALGUS","SYSTEMATIC_NAME":"M35440","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001772","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001772","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Talipes equinovalgus","DESCRIPTION_FULL":"A deformity of foot and ankle in which the foot is bent down and outwards. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SHORT_FOOT","SYSTEMATIC_NAME":"M35441","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001773","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001773","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Short foot","DESCRIPTION_FULL":"A measured foot length that is more than 2 SD below the mean for a newborn of 27 - 41 weeks gestation, or foot that is less than the 3rd centile for individuals from birth to 16 years of age (objective). Alternatively, a foot that appears disproportionately short (subjective). [HPO:probinson, PMID:19125433]"}
{"STANDARD_NAME":"HP_BILATERAL_TALIPES_EQUINOVARUS","SYSTEMATIC_NAME":"M35442","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001776","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001776","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Bilateral talipes equinovarus","DESCRIPTION_FULL":"Bilateral clubfoot deformity (see HP:0001762). [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_TOE","SYSTEMATIC_NAME":"M35443","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001780","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001780","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of toe","DESCRIPTION_FULL":"An anomaly of a toe. [HPO:probinson]"}
{"STANDARD_NAME":"HP_BROAD_METATARSAL","SYSTEMATIC_NAME":"M35444","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001783","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001783","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Broad metatarsal","DESCRIPTION_FULL":"Increased side-to-side width of a metatarsal bone. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_DELIVERY","SYSTEMATIC_NAME":"M35445","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001787","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001787","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal delivery","DESCRIPTION_FULL":"An abnormality of the birth process. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PREMATURE_RUPTURE_OF_MEMBRANES","SYSTEMATIC_NAME":"M35446","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001788","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001788","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Premature rupture of membranes","DESCRIPTION_FULL":"Premature rupture of membranes (PROM) is a condition which occurs in pregnancy when the amniotic sac ruptures more than an hour before the onset of labor. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYDROPS_FETALIS","SYSTEMATIC_NAME":"M35447","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001789","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001789","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hydrops fetalis","DESCRIPTION_FULL":"The abnormal accumulation of fluid in two or more fetal compartments, including ascites, pleural effusion, pericardial effusion, and skin edema. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NONIMMUNE_HYDROPS_FETALIS","SYSTEMATIC_NAME":"M35448","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001790","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001790","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Nonimmune hydrops fetalis","DESCRIPTION_FULL":"A type of hydrops fetalis in which there is no identifiable circulating antibody to red blood cell antigens . [HPO:probinson]"}
{"STANDARD_NAME":"HP_SMALL_NAIL","SYSTEMATIC_NAME":"M35449","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001792","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001792","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Small nail","DESCRIPTION_FULL":"A nail that is diminished in length and width, i.e., underdeveloped nail. [HPO:probinson, PMID:19125433]"}
{"STANDARD_NAME":"HP_HYPERCONVEX_NAIL","SYSTEMATIC_NAME":"M35450","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001795","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001795","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hyperconvex nail","DESCRIPTION_FULL":"When viewed on end (with the digit tip pointing toward the examiner's eye) the curve of the nail forms a tighter curve of convexity. [HPO:probinson, PMID:19125433]"}
{"STANDARD_NAME":"HP_ANONYCHIA","SYSTEMATIC_NAME":"M35451","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001798","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001798","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Anonychia","DESCRIPTION_FULL":"Aplasia of the nail. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SHORT_NAIL","SYSTEMATIC_NAME":"M35452","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001799","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001799","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Short nail","DESCRIPTION_FULL":"Decreased length of nail. [PMID:19125433]"}
{"STANDARD_NAME":"HP_HYPOPLASTIC_TOENAILS","SYSTEMATIC_NAME":"M35453","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001800","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001800","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypoplastic toenails","DESCRIPTION_FULL":"Underdevelopment of the toenail. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABSENT_TOENAIL","SYSTEMATIC_NAME":"M35454","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001802","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001802","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Absent toenail","DESCRIPTION_FULL":"Congenital absence of the toenail. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NAIL_PITS","SYSTEMATIC_NAME":"M35455","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001803","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001803","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Nail pits","DESCRIPTION_FULL":"Small (typically about 1 mm or less in size) depressions on the dorsal nail surface. [PMID:19125433]"}
{"STANDARD_NAME":"HP_HYPOPLASTIC_FINGERNAIL","SYSTEMATIC_NAME":"M35456","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001804","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001804","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypoplastic fingernail","DESCRIPTION_FULL":"Underdevelopment of a fingernail. [HPO:curators]"}
{"STANDARD_NAME":"HP_ONYCHOGRYPOSIS","SYSTEMATIC_NAME":"M35457","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001805","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001805","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Onychogryposis","DESCRIPTION_FULL":"Nail that appears thick when viewed on end. [PMID:19125433]"}
{"STANDARD_NAME":"HP_ONYCHOLYSIS","SYSTEMATIC_NAME":"M35458","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001806","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001806","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Onycholysis","DESCRIPTION_FULL":"Detachment of the nail from the nail bed. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RIDGED_NAIL","SYSTEMATIC_NAME":"M35459","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001807","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001807","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ridged nail","DESCRIPTION_FULL":"Longitudinal, linear prominences in the nail plate. [PMID:19125433]"}
{"STANDARD_NAME":"HP_FRAGILE_NAILS","SYSTEMATIC_NAME":"M35460","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001808","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001808","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Fragile nails","DESCRIPTION_FULL":"Nails that easily break. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SPLIT_NAIL","SYSTEMATIC_NAME":"M35461","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001809","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001809","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Split nail","DESCRIPTION_FULL":"A nail plate that has a longitudinal separation and the two sections of the nail share the same lateral radius of curvature. [PMID:19125433]"}
{"STANDARD_NAME":"HP_DYSTROPHIC_TOENAIL","SYSTEMATIC_NAME":"M35462","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001810","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001810","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Dystrophic toenail","DESCRIPTION_FULL":"Toenail changes apart from changes of the color of the toenail (nail dyschromia) that involve partial or complete disruption of the various keratinous layers of the nail plate. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPERCONVEX_FINGERNAILS","SYSTEMATIC_NAME":"M35463","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001812","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001812","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hyperconvex fingernails","DESCRIPTION_FULL":"When viewed on end (with the finger tip pointing toward the examiner's eye) the curve of the fingernail forms a tighter curve of convexity. [HPO:probinson, PMID:19125433]"}
{"STANDARD_NAME":"HP_DEEP_SET_NAILS","SYSTEMATIC_NAME":"M35464","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001814","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001814","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Deep-set nails","DESCRIPTION_FULL":"Deeply placed nails. [HPO:probinson]"}
{"STANDARD_NAME":"HP_THIN_NAIL","SYSTEMATIC_NAME":"M35465","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001816","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001816","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Thin nail","DESCRIPTION_FULL":"Nail that appears thin when viewed on end. [HPO:probinson, PMID:19125433]"}
{"STANDARD_NAME":"HP_ABSENT_FINGERNAIL","SYSTEMATIC_NAME":"M35466","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001817","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001817","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Absent fingernail","DESCRIPTION_FULL":"Absence of a fingernail. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PARONYCHIA","SYSTEMATIC_NAME":"M35467","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001818","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001818","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Paronychia","DESCRIPTION_FULL":"The nail disease paronychia is an often-tender bacterial or fungal hand infection or foot infection where the nail and skin meet at the side or the base of a finger or toenail. The infection can start suddenly (acute paronychia) or gradually (chronic paronychia). [HPO:probinson]"}
{"STANDARD_NAME":"HP_LEUKONYCHIA","SYSTEMATIC_NAME":"M35468","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001820","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001820","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Leukonychia","DESCRIPTION_FULL":"White discoloration of the nails. [HPO:probinson]"}
{"STANDARD_NAME":"HP_BROAD_NAIL","SYSTEMATIC_NAME":"M35469","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001821","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001821","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Broad nail","DESCRIPTION_FULL":"Increased width of nail. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HALLUX_VALGUS","SYSTEMATIC_NAME":"M41245","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001822","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001822","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hallux valgus","DESCRIPTION_FULL":"Lateral deviation of the great toe (i.e., in the direction of the little toe). [HPO:curators]"}
{"STANDARD_NAME":"HP_WEIGHT_LOSS","SYSTEMATIC_NAME":"M35470","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001824","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001824","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Weight loss","DESCRIPTION_FULL":"Reduction inexisting body weight. [HPO:probinson]"}
{"STANDARD_NAME":"HP_POSTAXIAL_FOOT_POLYDACTYLY","SYSTEMATIC_NAME":"M35471","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001830","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001830","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Postaxial foot polydactyly","DESCRIPTION_FULL":"Polydactyly of the foot most commonly refers to the presence of six toes on one foot. Postaxial polydactyly affects the lateral ray and the duplication may range from a well-formed articulated digit to a rudimentary digit. [HPO:curators]"}
{"STANDARD_NAME":"HP_SHORT_TOE","SYSTEMATIC_NAME":"M35472","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001831","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001831","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Short toe","DESCRIPTION_FULL":"A toe that appears disproportionately short compared to the foot. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_METATARSAL_MORPHOLOGY","SYSTEMATIC_NAME":"M35473","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001832","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001832","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal metatarsal morphology","DESCRIPTION_FULL":"Abnormalities of the metatarsal bones (i.e. of five tubular bones located between the tarsal bones of the hind- and mid-foot and the phalanges of the toes). [HPO:probinson]"}
{"STANDARD_NAME":"HP_LONG_FOOT","SYSTEMATIC_NAME":"M35474","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001833","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001833","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Long foot","DESCRIPTION_FULL":"Increased back to front length of the foot. [UHPO:probinson]"}
{"STANDARD_NAME":"HP_CAMPTODACTYLY_OF_TOE","SYSTEMATIC_NAME":"M35475","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001836","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001836","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Camptodactyly of toe","DESCRIPTION_FULL":"Camptodactyly is a painless flexion contracture of the proximal interphalangeal (PIP) joint that is usually gradually progressive. This term refers to camptodactyly of one or more toes. [HPO:probinson]"}
{"STANDARD_NAME":"HP_BROAD_TOE","SYSTEMATIC_NAME":"M35476","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001837","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001837","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Broad toe","DESCRIPTION_FULL":"Visible increase in width of the non-hallux digit without an increase in the dorso-ventral dimension. [PMID:19125433]"}
{"STANDARD_NAME":"HP_SPLIT_FOOT","SYSTEMATIC_NAME":"M35477","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001839","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001839","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Split foot","DESCRIPTION_FULL":"A condition in which middle parts of the foot (toes and metatarsals) are missing giving a cleft appearance. The severity is very variable ranging from slightly hypoplastic 3rd toe over absent 2nd or 3rd toes as far as oligo- or monodactyl feet. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_METATARSUS_ADDUCTUS","SYSTEMATIC_NAME":"M35478","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001840","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001840","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Metatarsus adductus","DESCRIPTION_FULL":"The metatarsals are deviated medially (tibially), that is, the bones in the front half of the foot bend or turn in toward the body. [HPO:probinson, PMID:19125433]"}
{"STANDARD_NAME":"HP_PREAXIAL_FOOT_POLYDACTYLY","SYSTEMATIC_NAME":"M35479","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001841","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001841","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Preaxial foot polydactyly","DESCRIPTION_FULL":"Duplication of all or part of the first ray. [HPO:probinson, PMID:19125433]"}
{"STANDARD_NAME":"HP_FOOT_ACROOSTEOLYSIS","SYSTEMATIC_NAME":"M35480","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001842","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001842","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Foot acroosteolysis"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_HALLUX","SYSTEMATIC_NAME":"M35481","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001844","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001844","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the hallux","DESCRIPTION_FULL":"This term applies for all abnormalities of the big toe, also called hallux. [HPO:probinson]"}
{"STANDARD_NAME":"HP_OVERLAPPING_TOE","SYSTEMATIC_NAME":"M35482","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001845","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001845","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Overlapping toe","DESCRIPTION_FULL":"Describes a foot digit resting on the dorsal surface of an adjacent digit when the foot is at rest. [HPO:probinson, PMID:19125433]"}
{"STANDARD_NAME":"HP_LONG_HALLUX","SYSTEMATIC_NAME":"M35483","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001847","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001847","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Long hallux","DESCRIPTION_FULL":"Increased length of the big toe. [HPO:probinson]"}
{"STANDARD_NAME":"HP_FOOT_OLIGODACTYLY","SYSTEMATIC_NAME":"M35484","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001849","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001849","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Foot oligodactyly","DESCRIPTION_FULL":"A developmental defect resulting in the presence of fewer than the normal number of toes. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_TARSAL_BONES","SYSTEMATIC_NAME":"M35485","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001850","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001850","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the tarsal bones","DESCRIPTION_FULL":"An abnormality of the tarsus are the cluster of seven bones in the foot between the tibia and fibula and the metatarsus, including the calcaneus (heel) bone and the talus (ankle) bone. [HPO:curators]"}
{"STANDARD_NAME":"HP_SANDAL_GAP","SYSTEMATIC_NAME":"M35486","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001852","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001852","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Sandal gap","DESCRIPTION_FULL":"A widely spaced gap between the first toe (the great toe) and the second toe. [HPO:probinson, PMID:19125433]"}
{"STANDARD_NAME":"HP_SHORT_DISTAL_PHALANX_OF_TOE","SYSTEMATIC_NAME":"M35488","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001857","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001857","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Short distal phalanx of toe","DESCRIPTION_FULL":"Short distance from the end of the toe to the most distal interphalangeal crease or distal interphalangeal joint flexion point, i.e., abnormally short distal phalanx of toe. [PMID:19125433]"}
{"STANDARD_NAME":"HP_TOE_CLINODACTYLY","SYSTEMATIC_NAME":"M35489","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001863","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001863","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Toe clinodactyly","DESCRIPTION_FULL":"Bending or curvature of a toe in the tibial direction (i.e., towards the big toe). [HPO:probinson]"}
{"STANDARD_NAME":"HP_CLINODACTYLY_OF_THE_5TH_TOE","SYSTEMATIC_NAME":"M35490","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001864","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001864","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Clinodactyly of the 5th toe","DESCRIPTION_FULL":"Bending or curvature of a fifth toe in the tibial direction (i.e., towards the big toe). [HPO:probinson]"}
{"STANDARD_NAME":"HP_DEEP_PLANTAR_CREASES","SYSTEMATIC_NAME":"M35491","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001869","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001869","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Deep plantar creases","DESCRIPTION_FULL":"The presence of unusually deep creases (ridges/wrinkles) on the skin of sole of foot. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_BLOOD_AND_BLOOD_FORMING_TISSUES","SYSTEMATIC_NAME":"M35492","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001871","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001871","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of blood and blood-forming tissues","DESCRIPTION_FULL":"An abnormality of the hematopoietic system. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_THROMBOCYTE_MORPHOLOGY","SYSTEMATIC_NAME":"M35493","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001872","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001872","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal thrombocyte morphology","DESCRIPTION_FULL":"An abnormality of platelets. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_NEUTROPHILS","SYSTEMATIC_NAME":"M35494","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001874","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001874","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of neutrophils","DESCRIPTION_FULL":"A neutrophil abnormality. [HPO:probinson, PMID:21094463, PMID:26819959]"}
{"STANDARD_NAME":"HP_PANCYTOPENIA","SYSTEMATIC_NAME":"M35495","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001876","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001876","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pancytopenia","DESCRIPTION_FULL":"An abnormal reduction in numbers of all blood cell types (red blood cells, white blood cells, and platelets). [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_ERYTHROCYTE_MORPHOLOGY","SYSTEMATIC_NAME":"M35496","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001877","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001877","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal erythrocyte morphology","DESCRIPTION_FULL":"Any structural abnormality of erythrocytes (red-blood cells). [HPO:probinson]"}
{"STANDARD_NAME":"HP_HEMOLYTIC_ANEMIA","SYSTEMATIC_NAME":"M35497","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001878","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001878","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hemolytic anemia","DESCRIPTION_FULL":"A type of anemia caused by premature destruction of red blood cells (hemolysis). [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_EOSINOPHIL_MORPHOLOGY","SYSTEMATIC_NAME":"M35498","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001879","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001879","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal eosinophil morphology","DESCRIPTION_FULL":"An abnormal count or structure of eosinophils. [HPO:probinson, PMID:23154224]"}
{"STANDARD_NAME":"HP_LEUKOPENIA","SYSTEMATIC_NAME":"M35499","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001882","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001882","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Leukopenia","DESCRIPTION_FULL":"An abnormal decreased number of leukocytes in the blood. [HPO:probinson]"}
{"STANDARD_NAME":"HP_TALIPES_CALCANEOVALGUS","SYSTEMATIC_NAME":"M35500","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001884","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001884","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Talipes calcaneovalgus","DESCRIPTION_FULL":"Talipes calcaneovalgus is a flexible foot deformity (as opposed to a rigid congenital vertical talus foot deformity) that can either present as a positional or structural foot deformity depending on severity and/or causality. The axis of calcaneovalgus deformity is in the tibiotalar joint, where the foot is positioned in extreme hyperextension. On inspection, the foot has an \\up and out\\ appearance, with the dorsal forefoot practically touching the anterior aspect of the ankle and lower leg. [HPO:curators]"}
{"STANDARD_NAME":"HP_LYMPHOPENIA","SYSTEMATIC_NAME":"M41246","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001888","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001888","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Lymphopenia","DESCRIPTION_FULL":"A reduced number of lymphocytes in the blood. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MEGALOBLASTIC_ANEMIA","SYSTEMATIC_NAME":"M35501","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001889","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001889","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Megaloblastic anemia","DESCRIPTION_FULL":"Anemia characterized by the presence of erythroblasts that are larger than normal (megaloblasts). [HPO:probinson]"}
{"STANDARD_NAME":"HP_AUTOIMMUNE_HEMOLYTIC_ANEMIA","SYSTEMATIC_NAME":"M35502","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001890","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001890","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Autoimmune hemolytic anemia","DESCRIPTION_FULL":"An autoimmune form of hemolytic anemia. [HPO:probinson]"}
{"STANDARD_NAME":"HP_IRON_DEFICIENCY_ANEMIA","SYSTEMATIC_NAME":"M35503","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001891","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001891","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Iron deficiency anemia"}
{"STANDARD_NAME":"HP_ABNORMAL_BLEEDING","SYSTEMATIC_NAME":"M35504","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001892","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001892","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal bleeding","DESCRIPTION_FULL":"An abnormal susceptibility to bleeding, often referred to as a bleeding diathesis. A bleeding diathesis may be related to vascular, platelet and coagulation defects. [HPO:probinson]"}
{"STANDARD_NAME":"HP_THROMBOCYTOSIS","SYSTEMATIC_NAME":"M35505","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001894","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001894","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Thrombocytosis","DESCRIPTION_FULL":"Increased numbers of platelets in the peripheral blood. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NORMOCHROMIC_ANEMIA","SYSTEMATIC_NAME":"M35506","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001895","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001895","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Normochromic anemia"}
{"STANDARD_NAME":"HP_RETICULOCYTOPENIA","SYSTEMATIC_NAME":"M35507","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001896","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001896","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Reticulocytopenia","DESCRIPTION_FULL":"A reduced number of reticulocytes in the peripheral blood. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NORMOCYTIC_ANEMIA","SYSTEMATIC_NAME":"M35508","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001897","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001897","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Normocytic anemia","DESCRIPTION_FULL":"A kind of anemia in which the volume of the red blood cells is normal. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INCREASED_HEMOGLOBIN","SYSTEMATIC_NAME":"M35509","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001900","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001900","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased hemoglobin"}
{"STANDARD_NAME":"HP_POLYCYTHEMIA","SYSTEMATIC_NAME":"M35510","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001901","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001901","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Polycythemia","DESCRIPTION_FULL":"Polycythemia is diagnosed if the red blood cell count, the hemoglobin level, and the red blood cell volume all exceed the upper limits of normal. [HPO:probinson]"}
{"STANDARD_NAME":"HP_GIANT_PLATELETS","SYSTEMATIC_NAME":"M35511","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001902","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001902","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Giant platelets","DESCRIPTION_FULL":"Giant platelets are larger than 7 micrometers and usually 10 to 20 micrometers. The term giant platelet is used when the platelet is larger than the size of the average red cell in the field. (Description adapted from College of American Pathologists, Hematology Manual, 1998). [HPO:probinson]"}
{"STANDARD_NAME":"HP_NEUTROPENIA_IN_PRESENCE_OF_ANTI_NEUTROPIL_ANTIBODIES","SYSTEMATIC_NAME":"M35512","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001904","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001904","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neutropenia in presence of anti-neutropil antibodies","DESCRIPTION_FULL":"A type of neutropenia that is observed in the presence of granulocyte-specific antibodies. [HPO:probinson, PMID:25642312]"}
{"STANDARD_NAME":"HP_CONGENITAL_THROMBOCYTOPENIA","SYSTEMATIC_NAME":"M35513","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001905","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001905","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Congenital thrombocytopenia","DESCRIPTION_FULL":"Thrombocytopenia with congenital onset. [HPO:probinson]"}
{"STANDARD_NAME":"HP_THROMBOEMBOLISM","SYSTEMATIC_NAME":"M35514","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001907","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001907","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Thromboembolism","DESCRIPTION_FULL":"The formation of a blood clot inside a blood vessel that subsequently travels through the blood stream from the site where it formed to another location in the body, generally leading to vascular occlusion at the distant site. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPOPLASTIC_ANEMIA","SYSTEMATIC_NAME":"M35515","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001908","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001908","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypoplastic anemia","DESCRIPTION_FULL":"Anemia with varying degrees of erythrocytic hypoplasia without leukopenia or thrombocytopenia. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LEUKEMIA","SYSTEMATIC_NAME":"M35516","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001909","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001909","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Leukemia","DESCRIPTION_FULL":"A cancer of the blood and bone marrow characterized by an abnormal proliferation of leukocytes. [HPO:probinson, NCIT:C3161]"}
{"STANDARD_NAME":"HP_GRANULOCYTOPENIA","SYSTEMATIC_NAME":"M35517","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001913","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001913","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Granulocytopenia","DESCRIPTION_FULL":"An abnormally reduced number of granulocytes in the blood. [HPO:probinson]"}
{"STANDARD_NAME":"HP_APLASTIC_ANEMIA","SYSTEMATIC_NAME":"M35518","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001915","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001915","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplastic anemia","DESCRIPTION_FULL":"Aplastic anemia is defined as pancytopenia with a hypocellular marrow. [HPO:probinson, PMID:21239768]"}
{"STANDARD_NAME":"HP_RENAL_AMYLOIDOSIS","SYSTEMATIC_NAME":"M41247","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001917","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001917","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Renal amyloidosis","DESCRIPTION_FULL":"A form of amyloidosis that affects the kidney. On hematoxylin and eosin stain, amyloid is identified as extracellular amorphous material that is lightly eosinophilic. These deposits often stain weakly for periodic acid Schiff (PAS), demonstrate a blue-to-gray hue on the trichrome stain and are typically negative on the Jones methenamine silver (JMS) stain. These tinctorial properties contrast with the histologic appearance of collagen, a major component of basement membranes, mesangial matrix and areas of sclerosis, which demonstrates strong positivity for PAS and JMS (See Figure 1 of PMID:25852856). [HPO:probinson, PMID:25852856]"}
{"STANDARD_NAME":"HP_ACUTE_KIDNEY_INJURY","SYSTEMATIC_NAME":"M35519","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001919","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001919","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Acute kidney injury","DESCRIPTION_FULL":"Sudden loss of renal function, as manifested by decreased urine production, and a rise in serum creatinine or blood urea nitrogen concentration (azotemia). [HPO:probinson]"}
{"STANDARD_NAME":"HP_VACUOLATED_LYMPHOCYTES","SYSTEMATIC_NAME":"M35521","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001922","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001922","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Vacuolated lymphocytes","DESCRIPTION_FULL":"The presence of clear, sharply defined vacuoles in the lymphocyte cytoplasm. [HPO:probinson, PMID:20633042]"}
{"STANDARD_NAME":"HP_RETICULOCYTOSIS","SYSTEMATIC_NAME":"M35522","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001923","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001923","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Reticulocytosis","DESCRIPTION_FULL":"An elevation in the number of reticulocytes (immature erythrocytes) in the peripheral blood circulation. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SIDEROBLASTIC_ANEMIA","SYSTEMATIC_NAME":"M35523","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001924","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001924","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Sideroblastic anemia","DESCRIPTION_FULL":"Sideroblastic anemia results from a defect in the incorporation of iron into the heme molecule. A sideroblast is an erythroblast that has stainable deposits of iron in cytoplasm (this can be demonstrated by Prussian blue staining). [HPO:probinson]"}
{"STANDARD_NAME":"HP_ACANTHOCYTOSIS","SYSTEMATIC_NAME":"M35524","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001927","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001927","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Acanthocytosis","DESCRIPTION_FULL":"Acanthocytosis is a type of poikilocytosis characterized by the presence of spikes on the cell surface. The cells have an irregular shape resembling many-pointed stars. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_COAGULATION","SYSTEMATIC_NAME":"M35525","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001928","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001928","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of coagulation","DESCRIPTION_FULL":"An abnormality of the process of blood coagulation. That is, altered ability or inability of the blood to clot. [HPO:probinson]"}
{"STANDARD_NAME":"HP_REDUCED_FACTOR_XI_ACTIVITY","SYSTEMATIC_NAME":"M35526","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001929","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001929","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Reduced factor XI activity","DESCRIPTION_FULL":"Decreased activity of coagulation factor XI. Factor XI, also known as plasma thromboplastin antecedent, is a serine proteinase that activates factor IX. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NONSPHEROCYTIC_HEMOLYTIC_ANEMIA","SYSTEMATIC_NAME":"M35527","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001930","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001930","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Nonspherocytic hemolytic anemia"}
{"STANDARD_NAME":"HP_HYPOCHROMIC_ANEMIA","SYSTEMATIC_NAME":"M35528","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001931","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001931","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypochromic anemia","DESCRIPTION_FULL":"A type of anemia characterized by an abnormally low concentration of hemoglobin in the erythrocytes. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SUBCUTANEOUS_HEMORRHAGE","SYSTEMATIC_NAME":"M35529","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001933","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001933","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Subcutaneous hemorrhage","DESCRIPTION_FULL":"This term refers to an abnormally increased susceptibility to bruising (purpura, petechiae, or ecchymoses). [HPO:probinson]"}
{"STANDARD_NAME":"HP_PERSISTENT_BLEEDING_AFTER_TRAUMA","SYSTEMATIC_NAME":"M35530","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001934","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001934","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Persistent bleeding after trauma"}
{"STANDARD_NAME":"HP_MICROCYTIC_ANEMIA","SYSTEMATIC_NAME":"M35531","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001935","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001935","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Microcytic anemia","DESCRIPTION_FULL":"A kind of anemia in which the volume of the red blood cells is reduced. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MICROANGIOPATHIC_HEMOLYTIC_ANEMIA","SYSTEMATIC_NAME":"M35532","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001937","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001937","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Microangiopathic hemolytic anemia"}
{"STANDARD_NAME":"HP_METABOLIC_ACIDOSIS","SYSTEMATIC_NAME":"M35533","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001942","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001942","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Metabolic acidosis","DESCRIPTION_FULL":"Metabolic acidosis (MA) is characterized by a fall in blood pH due to a reduction of serum bicarbonate concentration. This can occur as a result of either the accumulation of acids (high anion gap MA) or the loss of bicarbonate from the gastrointestinal tract or the kidney (hyperchloremic MA). By definition, MA is not due to a respirary cause. [HPO:probinson, PMID:17936961, PMID:31418093]"}
{"STANDARD_NAME":"HP_DEHYDRATION","SYSTEMATIC_NAME":"M35534","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001944","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001944","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Dehydration"}
{"STANDARD_NAME":"HP_FEVER","SYSTEMATIC_NAME":"M35535","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001945","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001945","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Fever","DESCRIPTION_FULL":"Elevated body temperature due to failed thermoregulation. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_KETOSIS","SYSTEMATIC_NAME":"M35536","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001946","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001946","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ketosis","DESCRIPTION_FULL":"Presence of elevated levels of ketone bodies in the body. [HPO:probinson, PMID:28278308]"}
{"STANDARD_NAME":"HP_RENAL_TUBULAR_ACIDOSIS","SYSTEMATIC_NAME":"M35537","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001947","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001947","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Renal tubular acidosis","DESCRIPTION_FULL":"Acidosis owing to malfunction of the kidney tubules with accumulation of metabolic acids and hyperchloremia, potentially leading to complications including hypokalemia, hypercalcinuria, nephrolithiasis and nephrocalcinosis. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ALKALOSIS","SYSTEMATIC_NAME":"M35538","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001948","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001948","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Alkalosis","DESCRIPTION_FULL":"Depletion of acid or accumulation base in the body fluids. [HPO:probinson, PMID:24381489]"}
{"STANDARD_NAME":"HP_HYPOKALEMIC_ALKALOSIS","SYSTEMATIC_NAME":"M35539","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001949","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001949","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypokalemic alkalosis"}
{"STANDARD_NAME":"HP_RESPIRATORY_ALKALOSIS","SYSTEMATIC_NAME":"M35540","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001950","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001950","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Respiratory alkalosis","DESCRIPTION_FULL":"Alkalosis due to excess loss of carbon dioxide from the body. [HPO:probinson]"}
{"STANDARD_NAME":"HP_GLUCOSE_INTOLERANCE","SYSTEMATIC_NAME":"M35541","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001952","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001952","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Glucose intolerance","DESCRIPTION_FULL":"Glucose intolerance (GI) can be defined as dysglycemia that comprises both prediabetes and diabetes. It includes the conditions of impaired fasting glucose (IFG) and impaired glucose tolerance (IGT) and diabetes mellitus (DM). [PMID:29763085]"}
{"STANDARD_NAME":"HP_DIABETIC_KETOACIDOSIS","SYSTEMATIC_NAME":"M41248","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001953","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001953","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Diabetic ketoacidosis","DESCRIPTION_FULL":"A type of diabetic metabolic abnormality with an accumulation of ketone bodies. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RECURRENT_FEVER","SYSTEMATIC_NAME":"M35542","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001954","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001954","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Recurrent fever","DESCRIPTION_FULL":"Periodic (episodic or recurrent) bouts of fever. [HPO:probinson]"}
{"STANDARD_NAME":"HP_UNEXPLAINED_FEVERS","SYSTEMATIC_NAME":"M35543","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001955","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001955","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Unexplained fevers","DESCRIPTION_FULL":"Episodes of fever for which no infectious cause can be identified. [HPO:curators]"}
{"STANDARD_NAME":"HP_TRUNCAL_OBESITY","SYSTEMATIC_NAME":"M35544","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001956","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001956","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Truncal obesity","DESCRIPTION_FULL":"Obesity located preferentially in the trunk of the body as opposed to the extremities. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NONKETOTIC_HYPOGLYCEMIA","SYSTEMATIC_NAME":"M35545","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001958","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001958","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Nonketotic hypoglycemia"}
{"STANDARD_NAME":"HP_HYPOKALEMIC_METABOLIC_ALKALOSIS","SYSTEMATIC_NAME":"M35546","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001960","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001960","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypokalemic metabolic alkalosis"}
{"STANDARD_NAME":"HP_HYPOPLASTIC_HEART","SYSTEMATIC_NAME":"M35547","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001961","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001961","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypoplastic heart"}
{"STANDARD_NAME":"HP_PALPITATIONS","SYSTEMATIC_NAME":"M35548","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001962","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001962","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Palpitations","DESCRIPTION_FULL":"A sensation that the heart is pounding or racing, which is a non-specific sign but may be a manifestation of arrhythmia. [HPO:probinson]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_METATARSAL_BONES","SYSTEMATIC_NAME":"M35549","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001964","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001964","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of metatarsal bones","DESCRIPTION_FULL":"Absence or underdevelopment of the metatarsal bones. [HPO:curators]"}
{"STANDARD_NAME":"HP_ABNORMAL_SCALP_MORPHOLOGY","SYSTEMATIC_NAME":"M35550","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001965","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001965","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal scalp morphology","DESCRIPTION_FULL":"Any anomaly of the scalp, the skin an subcutaneous tissue of the head on which head hair grows. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_GLOMERULAR_MESANGIUM_MORPHOLOGY","SYSTEMATIC_NAME":"M35551","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001966","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001966","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal glomerular mesangium morphology","DESCRIPTION_FULL":"An abnormality of the mesangium, i.e., of the central part of the renal glomerulus between capillaries. [HPO:probinson, PMID:19470685, PMID:20828589]"}
{"STANDARD_NAME":"HP_DIFFUSE_MESANGIAL_SCLEROSIS","SYSTEMATIC_NAME":"M35552","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001967","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001967","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Diffuse mesangial sclerosis","DESCRIPTION_FULL":"Diffuse sclerosis of the mesangium, as manifestated by diffuse mesangial matrix expansion. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_TUBULOINTERSTITIAL_MORPHOLOGY","SYSTEMATIC_NAME":"M35553","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001969","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001969","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal tubulointerstitial morphology","DESCRIPTION_FULL":"An abnormality that involves the tubules and interstitial tissue of the kidney. [HPO:probinson]"}
{"STANDARD_NAME":"HP_TUBULOINTERSTITIAL_NEPHRITIS","SYSTEMATIC_NAME":"M35554","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001970","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001970","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Tubulointerstitial nephritis","DESCRIPTION_FULL":"A form of inflammation of the kidney affecting the interstitium of the kidneys surrounding the tubules. [HP:probinson]"}
{"STANDARD_NAME":"HP_HYPERSPLENISM","SYSTEMATIC_NAME":"M35555","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001971","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001971","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypersplenism","DESCRIPTION_FULL":"A malfunctioning of the spleen in which it prematurely destroys red blood cells. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MACROCYTIC_ANEMIA","SYSTEMATIC_NAME":"M35556","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001972","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001972","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Macrocytic anemia","DESCRIPTION_FULL":"A type of anemia characterized by increased size of erythrocytes with increased mean corpuscular volume (MCV) and increased mean corpuscular hemoglobin (MCH). [HPO:probinson, PMID:19202968]"}
{"STANDARD_NAME":"HP_AUTOIMMUNE_THROMBOCYTOPENIA","SYSTEMATIC_NAME":"M35557","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001973","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001973","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Autoimmune thrombocytopenia","DESCRIPTION_FULL":"The presence of thrombocytopenia in combination with detection of antiplatelet antibodies. [DDD:wouwehand]"}
{"STANDARD_NAME":"HP_LEUKOCYTOSIS","SYSTEMATIC_NAME":"M35558","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001974","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001974","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Leukocytosis","DESCRIPTION_FULL":"An abnormal increase in the number of leukocytes in the blood. [HPO:probinson]"}
{"STANDARD_NAME":"HP_REDUCED_ANTITHROMBIN_III_ACTIVITY","SYSTEMATIC_NAME":"M35559","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001976","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001976","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Reduced antithrombin III activity","DESCRIPTION_FULL":"An abnormality of coagulation related to a decreased concentration of antithrombin-III. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_THROMBOSIS","SYSTEMATIC_NAME":"M35560","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001977","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001977","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal thrombosis","DESCRIPTION_FULL":"Venous or arterial thrombosis (formation of blood clots) of spontaneous nature and which cannot be fully explained by acquired risk (e.g. atherosclerosis). [HPO:probinson]"}
{"STANDARD_NAME":"HP_EXTRAMEDULLARY_HEMATOPOIESIS","SYSTEMATIC_NAME":"M35561","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001978","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001978","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Extramedullary hematopoiesis","DESCRIPTION_FULL":"The process of hematopoiesis occurring outside of the bone marrow (in the liver, thymus, and spleen) in the postnatal organisms. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SCHISTOCYTOSIS","SYSTEMATIC_NAME":"M35563","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001981","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001981","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Schistocytosis","DESCRIPTION_FULL":"The presence of an abnormal number of fragmented red blood cells (schistocytes) in the blood. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SEA_BLUE_HISTIOCYTOSIS","SYSTEMATIC_NAME":"M35564","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001982","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001982","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Sea-blue histiocytosis","DESCRIPTION_FULL":"An abnormality of histiocytes, in which the cells take on a sea blue appearance due to abnormally increased lipid content. Histiocytes are a type of macrophage. Sea-blue histiocytes are typically large macrophages from 20 to 60 micrometers in diameter with a single eccentric nucleus whose cytoplasm if packed with sea-blue or blue-green granules when stained with Wright-Giemsa. [HPO:probinson, PMID:8797061]"}
{"STANDARD_NAME":"HP_HYPOKETOTIC_HYPOGLYCEMIA","SYSTEMATIC_NAME":"M35565","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001985","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001985","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypoketotic hypoglycemia","DESCRIPTION_FULL":"A decreased concentration of glucose in the blood associated with a reduced concentration of ketone bodies. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPERTONIC_DEHYDRATION","SYSTEMATIC_NAME":"M41249","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001986","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001986","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypertonic dehydration"}
{"STANDARD_NAME":"HP_HYPERAMMONEMIA","SYSTEMATIC_NAME":"M35566","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001987","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001987","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hyperammonemia","DESCRIPTION_FULL":"An increased concentration of ammonia in the blood. [HPO:gcarletti]"}
{"STANDARD_NAME":"HP_RECURRENT_HYPOGLYCEMIA","SYSTEMATIC_NAME":"M35567","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001988","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001988","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Recurrent hypoglycemia","DESCRIPTION_FULL":"Recurrent episodes of decreased concentration of glucose in the blood. [HPO:gcarletti]"}
{"STANDARD_NAME":"HP_FETAL_AKINESIA_SEQUENCE","SYSTEMATIC_NAME":"M35568","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001989","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001989","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Fetal akinesia sequence","DESCRIPTION_FULL":"Decreased fetal activity associated with multiple joint contractures, facial anomalies and pulmonary hypoplasia. Ultrasound examination may reveal polyhydramnios, ankylosis, scalp edema, and decreased chest movements (reflecting pulmonary hypoplasia). [HPO:probinson]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_TOE","SYSTEMATIC_NAME":"M35569","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001991","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001991","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of toe","DESCRIPTION_FULL":"Absence or hypoplasia of toes. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ORGANIC_ACIDURIA","SYSTEMATIC_NAME":"M35570","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001992","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001992","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Organic aciduria","DESCRIPTION_FULL":"Excretion of non-amino organic acids in urine. [HPO:probinson]"}
{"STANDARD_NAME":"HP_KETOACIDOSIS","SYSTEMATIC_NAME":"M35571","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001993","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001993","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ketoacidosis","DESCRIPTION_FULL":"Acidosis resulting from accumulation of ketone bodies. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RENAL_FANCONI_SYNDROME","SYSTEMATIC_NAME":"M41250","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001994","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001994","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Renal Fanconi syndrome","DESCRIPTION_FULL":"An inability of the tubules in the kidney to reabsorb small molecules, causing increased urinary loss of electrolytes (sodium, potassium, bicarbonate), minerals, glucose, amino acids, and water. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPERCHLOREMIC_ACIDOSIS","SYSTEMATIC_NAME":"M35572","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001995","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001995","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hyperchloremic acidosis","DESCRIPTION_FULL":"Acidosis (pH less than 7.35) that develops with an increase in ionic chloride. [PMID:29493965]"}
{"STANDARD_NAME":"HP_GOUT","SYSTEMATIC_NAME":"M35573","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001997","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001997","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Gout","DESCRIPTION_FULL":"Recurrent attacks of acute inflammatory arthritis of a joint or set of joints caused by elevated levels of uric acid in the blood which crystallize and are deposited in joints, tendons, and surrounding tissues. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_NEONATAL_HYPOGLYCEMIA","SYSTEMATIC_NAME":"M35574","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001998","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001998","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neonatal hypoglycemia"}
{"STANDARD_NAME":"HP_ABNORMAL_FACIAL_SHAPE","SYSTEMATIC_NAME":"M35575","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0001999","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0001999","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal facial shape","DESCRIPTION_FULL":"An abnormal morphology (form) of the face or its components. [DDD:jclayton-smith]"}
{"STANDARD_NAME":"HP_SHORT_COLUMELLA","SYSTEMATIC_NAME":"M35576","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002000","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002000","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Short columella","DESCRIPTION_FULL":"Reduced distance from the anterior border of the naris to the subnasale. [PMID:19152422]"}
{"STANDARD_NAME":"HP_DEEP_PHILTRUM","SYSTEMATIC_NAME":"M35577","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002002","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002002","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Deep philtrum","DESCRIPTION_FULL":"Accentuated, prominent philtral ridges giving rise to an exaggerated groove in the midline between the nasal base and upper vermillion border. [PMID:19152422]"}
{"STANDARD_NAME":"HP_LARGE_FOREHEAD","SYSTEMATIC_NAME":"M35578","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002003","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002003","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Large forehead"}
{"STANDARD_NAME":"HP_FACIAL_CLEFT","SYSTEMATIC_NAME":"M35579","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002006","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002006","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Facial cleft","DESCRIPTION_FULL":"A congenital malformation with a cleft (gap or opening) in the face. [HPO:probinson]"}
{"STANDARD_NAME":"HP_POTTER_FACIES","SYSTEMATIC_NAME":"M35580","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002009","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002009","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Potter facies","DESCRIPTION_FULL":"A facial appearance characteristic of a fetus or neonate due to oligohydramnios experienced in the womb, comprising ocular hypertelorism, low-set ears, receding chin, and flattening of the nose. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_ABDOMINAL_ORGANS","SYSTEMATIC_NAME":"M35581","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002012","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002012","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the abdominal organs","DESCRIPTION_FULL":"An abnormality of the viscera of the abdomen. [HPO:probinson]"}
{"STANDARD_NAME":"HP_VOMITING","SYSTEMATIC_NAME":"M35582","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002013","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002013","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Vomiting","DESCRIPTION_FULL":"Forceful ejection of the contents of the stomach through the mouth by means of a series of involuntary spasmic contractions. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DIARRHEA","SYSTEMATIC_NAME":"M35583","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002014","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002014","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Diarrhea","DESCRIPTION_FULL":"Abnormally increased frequency of loose or watery bowel movements. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DYSPHAGIA","SYSTEMATIC_NAME":"M35584","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002015","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002015","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Dysphagia","DESCRIPTION_FULL":"Difficulty in swallowing. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NAUSEA_AND_VOMITING","SYSTEMATIC_NAME":"M35585","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002017","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002017","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Nausea and vomiting","DESCRIPTION_FULL":"Nausea is a commonly encountered symptom that has been defined as an unpleasant painless subjective feeling that one will imminently vomit. Vomiting has been defined as the forceful expulsion of the contents of the stomach, duodenum, or jejunum through the oral cavity. While nausea and vomiting are often thought to exist on a temporal continuum, this is not always the case. There are situations when severe nausea may be present without emesis and less frequently, when emesis may be present without preceding nausea. [PMID:26770271]"}
{"STANDARD_NAME":"HP_NAUSEA","SYSTEMATIC_NAME":"M35586","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002018","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002018","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Nausea","DESCRIPTION_FULL":"A sensation of unease in the stomach together with an urge to vomit. [HPO:probinson, PMID:26770271]"}
{"STANDARD_NAME":"HP_CONSTIPATION","SYSTEMATIC_NAME":"M35587","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002019","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002019","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Constipation","DESCRIPTION_FULL":"Infrequent or difficult evacuation of feces. [HPO:probinson]"}
{"STANDARD_NAME":"HP_GASTROESOPHAGEAL_REFLUX","SYSTEMATIC_NAME":"M35588","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002020","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002020","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Gastroesophageal reflux","DESCRIPTION_FULL":"A condition in which the stomach contents leak backwards from the stomach into the esophagus through the lower esophageal sphincter. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ANAL_ATRESIA","SYSTEMATIC_NAME":"M35589","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002023","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002023","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Anal atresia","DESCRIPTION_FULL":"Congenital absence of the anus, i.e., the opening at the bottom end of the intestinal tract. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MALABSORPTION","SYSTEMATIC_NAME":"M35590","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002024","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002024","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Malabsorption","DESCRIPTION_FULL":"Impaired ability to absorb one or more nutrients from the intestine. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ANAL_STENOSIS","SYSTEMATIC_NAME":"M35591","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002025","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002025","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Anal stenosis","DESCRIPTION_FULL":"Abnormal narrowing of the anal opening. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABDOMINAL_PAIN","SYSTEMATIC_NAME":"M35592","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002027","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002027","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abdominal pain","DESCRIPTION_FULL":"An unpleasant sensation characterized by physical discomfort (such as pricking, throbbing, or aching) and perceived to originate in the abdomen. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CHRONIC_DIARRHEA","SYSTEMATIC_NAME":"M35593","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002028","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002028","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Chronic diarrhea","DESCRIPTION_FULL":"The presence of chronic diarrhea, which is usually taken to mean diarrhea that has persisted for over 4 weeks. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_ESOPHAGUS_MORPHOLOGY","SYSTEMATIC_NAME":"M35594","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002031","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002031","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal esophagus morphology","DESCRIPTION_FULL":"A structural abnormality of the esophagus. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ESOPHAGEAL_ATRESIA","SYSTEMATIC_NAME":"M35595","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002032","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002032","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Esophageal atresia","DESCRIPTION_FULL":"A developmental defect resulting in complete obliteration of the lumen of the esophagus such that the esophagus ends in a blind pouch rather than connecting to the stomach. [HPO:curators]"}
{"STANDARD_NAME":"HP_POOR_SUCK","SYSTEMATIC_NAME":"M35596","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002033","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002033","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Poor suck","DESCRIPTION_FULL":"An inadequate sucking reflex, resulting in the difficult of newborns to be breast-fed. [HPO:pnrobinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_RECTUM_MORPHOLOGY","SYSTEMATIC_NAME":"M35597","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002034","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002034","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal rectum morphology","DESCRIPTION_FULL":"An abnormaltiy of the rectum, the final segment of the large intestine that stores solid waste until it passes through the anus. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RECTAL_PROLAPSE","SYSTEMATIC_NAME":"M35598","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002035","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002035","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Rectal prolapse","DESCRIPTION_FULL":"Protrusion of the rectal mucous membrane through the anus. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HIATUS_HERNIA","SYSTEMATIC_NAME":"M35599","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002036","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002036","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hiatus hernia","DESCRIPTION_FULL":"The presence of a hernia in which the upper part of the stomach, i.e., mainly the gastric cardia protrudes through the diaphragmatic esophageal hiatus. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INFLAMMATION_OF_THE_LARGE_INTESTINE","SYSTEMATIC_NAME":"M35600","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002037","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002037","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Inflammation of the large intestine","DESCRIPTION_FULL":"Inflammation, or an inflammatory state in the large intestine. []"}
{"STANDARD_NAME":"HP_PROTEIN_AVOIDANCE","SYSTEMATIC_NAME":"M35601","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002038","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002038","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Protein avoidance"}
{"STANDARD_NAME":"HP_ANOREXIA","SYSTEMATIC_NAME":"M35602","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002039","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002039","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Anorexia","DESCRIPTION_FULL":"A lack or loss of appetite for food (as a medical condition). [HPO:probinson]"}
{"STANDARD_NAME":"HP_ESOPHAGEAL_VARIX","SYSTEMATIC_NAME":"M35603","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002040","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002040","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Esophageal varix","DESCRIPTION_FULL":"Extreme dilation of the submucusoal veins in the lower portion of the esophagus. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INTRACTABLE_DIARRHEA","SYSTEMATIC_NAME":"M35604","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002041","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002041","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Intractable diarrhea"}
{"STANDARD_NAME":"HP_ESOPHAGEAL_STRICTURE","SYSTEMATIC_NAME":"M35605","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002043","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002043","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Esophageal stricture","DESCRIPTION_FULL":"A pathological narrowing of the esophagus that is caused by the development of a ring of scar tissue that constricts the esophageal lumen. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ZOLLINGER_ELLISON_SYNDROME","SYSTEMATIC_NAME":"M35606","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002044","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002044","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Zollinger-Ellison syndrome","DESCRIPTION_FULL":"A condition in which there is increased production of gastrin by a gastrin-secreting tumor (usually located in the pancreas, duodenum, or abdominal lymph nodes) that stimulates the gastric mucosa to maximal activity, with consequent gastrointestinal mucosal ulceration. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPOTHERMIA","SYSTEMATIC_NAME":"M35607","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002045","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002045","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypothermia","DESCRIPTION_FULL":"Reduced body temperature due to failed thermoregulation. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_HEAT_INTOLERANCE","SYSTEMATIC_NAME":"M35608","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002046","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002046","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Heat intolerance","DESCRIPTION_FULL":"The inability to maintain a comfortably body temperature in warm or hot weather. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MALIGNANT_HYPERTHERMIA","SYSTEMATIC_NAME":"M35609","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002047","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002047","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Malignant hyperthermia","DESCRIPTION_FULL":"Malignant hyperthermia is characterized by a rapid increase in temperature to 39-42 degrees C in response to inhalational anesthetics such as halothane or to muscle relaxants such as succinylcholine. [HPO:curators]"}
{"STANDARD_NAME":"HP_PROXIMAL_RENAL_TUBULAR_ACIDOSIS","SYSTEMATIC_NAME":"M35610","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002049","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002049","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Proximal renal tubular acidosis","DESCRIPTION_FULL":"A type of renal tubular acidosis characterized by a failure of the proximal tubular cells to reabsorb bicarbonate, leading to urinary bicarbonate wasting and subsequent acidemia. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_GLABELLA","SYSTEMATIC_NAME":"M35611","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002056","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002056","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the glabella","DESCRIPTION_FULL":"An abnormality of the glabella. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MYOPATHIC_FACIES","SYSTEMATIC_NAME":"M35612","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002058","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002058","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Myopathic facies","DESCRIPTION_FULL":"A facial appearance characteristic of myopathic conditions. The face appears expressionless with sunken cheeks, bilateral ptosis, and inability to elevate the corners of the mouth, due to muscle weakness. [HPO:curators]"}
{"STANDARD_NAME":"HP_LOWER_LIMB_SPASTICITY","SYSTEMATIC_NAME":"M35613","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002061","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002061","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Lower limb spasticity","DESCRIPTION_FULL":"Spasticity (velocity-dependent increase in tonic stretch reflexes with increased muscle tone and hyperexcitable tendon reflexes) in the muscles of the lower limbs, hips, and pelvis [HPO:probinson, UKT:rschuele]"}
{"STANDARD_NAME":"HP_MORPHOLOGICAL_ABNORMALITY_OF_THE_PYRAMIDAL_TRACT","SYSTEMATIC_NAME":"M35614","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002062","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002062","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Morphological abnormality of the pyramidal tract","DESCRIPTION_FULL":"Any structural abnormality of the pyramidal tract, whose chief element, the corticospinal tract, is the only direct connection between the brain and the spinal cord. In addition to the corticospinal tract, the pyramidal system includes the corticobulbar, corticomesencephalic, and corticopontine tracts. [HPO:curators]"}
{"STANDARD_NAME":"HP_RIGIDITY","SYSTEMATIC_NAME":"M35615","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002063","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002063","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Rigidity","DESCRIPTION_FULL":"Continuous involuntary sustained muscle contraction. When an affected muscle is passively stretched, the degree of resistance remains constant regardless of the rate at which the muscle is stretched. This feature helps to distinguish rigidity from muscle spasticity. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SPASTIC_GAIT","SYSTEMATIC_NAME":"M35616","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002064","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002064","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Spastic gait","DESCRIPTION_FULL":"Spasticity is manifested by increased stretch reflex which is intensified with movement velocity. This results in excessive and inappropriate muscle activation which can contribute to muscle hypertonia. Spastic gait is characterized by manifestations such as muscle hypertonia, stiff knee, and circumduction of the leg. [PMID:25649546]"}
{"STANDARD_NAME":"HP_GAIT_ATAXIA","SYSTEMATIC_NAME":"M35617","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002066","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002066","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Gait ataxia","DESCRIPTION_FULL":"A type of ataxia characterized by the impairment of the ability to coordinate the movements required for normal walking. Gait ataxia is characteirzed by a wide-based staggering gait with a tendency to fall. [HPO:probinson, UKT:rschuele]"}
{"STANDARD_NAME":"HP_BRADYKINESIA","SYSTEMATIC_NAME":"M35618","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002067","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002067","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Bradykinesia","DESCRIPTION_FULL":"Bradykinesia literally means slow movement, and is used clinically to denote a slowness in the execution of movement (in contrast to hypokinesia, which is used to refer to slowness in the initiation of movement). [HPO:probinson]"}
{"STANDARD_NAME":"HP_NEUROMUSCULAR_DYSPHAGIA","SYSTEMATIC_NAME":"M35619","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002068","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002068","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neuromuscular dysphagia"}
{"STANDARD_NAME":"HP_BILATERAL_TONIC_CLONIC_SEIZURE","SYSTEMATIC_NAME":"M35620","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002069","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002069","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Bilateral tonic-clonic seizure","DESCRIPTION_FULL":"A bilateral tonic-clonic seizure is a seizure defined by a tonic (bilateral increased tone, lasting seconds to minutes) and then a clonic (bilateral sustained rhythmic jerking) phase. [HPO:pnrobinson, PMID:28276060]"}
{"STANDARD_NAME":"HP_LIMB_ATAXIA","SYSTEMATIC_NAME":"M35621","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002070","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002070","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Limb ataxia","DESCRIPTION_FULL":"A kind of ataxia that affects movements of the extremities. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_EXTRAPYRAMIDAL_MOTOR_FUNCTION","SYSTEMATIC_NAME":"M35622","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002071","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002071","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of extrapyramidal motor function","DESCRIPTION_FULL":"A neurological condition related to lesions of the basal ganglia leading to typical abnormalities including akinesia (inability to initiate changes in activity and perform volitional movements rapidly and easily), muscular rigidity (continuous contraction of muscles with constant resistance to passive movement), chorea (widespread arrhythmic movements of a forcible, rapid, jerky, and restless nature), athetosis (inability to sustain the muscles of the fingers, toes, or other group of muscles in a fixed position), and akathisia (inability to remain motionless). [HPO:probinson]"}
{"STANDARD_NAME":"HP_CHOREA","SYSTEMATIC_NAME":"M35623","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002072","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002072","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Chorea","DESCRIPTION_FULL":"Chorea (Greek for 'dance') refers to widespread arrhythmic involuntary movements of a forcible, jerky and restless fashion. It is a random-appearing sequence of one or more discrete involuntary movements or movement fragments. Movements appear random because of variability in timing, duration or location. Each movement may have a distinct start and end. However, movements may be strung together and thus may appear to flow randomly from one muscle group to another. Chorea can involve the trunk, neck, face, tongue, and extremities. [HPO:probinson, PMID:20589866]"}
{"STANDARD_NAME":"HP_PROGRESSIVE_CEREBELLAR_ATAXIA","SYSTEMATIC_NAME":"M35624","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002073","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002073","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Progressive cerebellar ataxia"}
{"STANDARD_NAME":"HP_DYSDIADOCHOKINESIS","SYSTEMATIC_NAME":"M35625","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002075","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002075","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Dysdiadochokinesis","DESCRIPTION_FULL":"A type of ataxia characterized by the impairment of the ability to perform rapidly alternating movements, such as pronating and supinating his or her hand on the dorsum of the other hand as rapidly as possible. [HPO:probinson, HPO:zaferyueksel, UKB:tklockgether]"}
{"STANDARD_NAME":"HP_MIGRAINE","SYSTEMATIC_NAME":"M35626","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002076","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002076","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Migraine","DESCRIPTION_FULL":"Migraine is a chronic neurological disorder characterized by episodic attacks of headache and associated symptoms. [HPO:probinson, PMID:15304572]"}
{"STANDARD_NAME":"HP_MIGRAINE_WITH_AURA","SYSTEMATIC_NAME":"M35627","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002077","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002077","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Migraine with aura","DESCRIPTION_FULL":"A type of migraine in which there is an aura characterized by focal neurological phenomena that usually proceed, but may accompany or occur in the absence of, the headache. The symptoms of an aura may include fully reversible visual, sensory, and speech symptoms but not motor weakness. Visual symptoms may include flickering lights, spots and lines and/or loss of vision and/or unilateral sensory symptoms such as paresthesias or numbness. At least one of the symptoms of an aura develops gradually over 5 or more minutes and/or different symptoms occur in succession. [HPO:probinson, PMID:15304572]"}
{"STANDARD_NAME":"HP_TRUNCAL_ATAXIA","SYSTEMATIC_NAME":"M35628","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002078","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002078","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Truncal ataxia","DESCRIPTION_FULL":"Truncal ataxia is a sign of ataxia characterized by instability of the trunk. It usually occurs during sitting. [HPO:probinson, UKT:rschuele]"}
{"STANDARD_NAME":"HP_HYPOPLASIA_OF_THE_CORPUS_CALLOSUM","SYSTEMATIC_NAME":"M35629","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002079","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002079","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypoplasia of the corpus callosum","DESCRIPTION_FULL":"Underdevelopment of the corpus callosum. [HPO:probinson, PMID:21263138]"}
{"STANDARD_NAME":"HP_MIGRAINE_WITHOUT_AURA","SYSTEMATIC_NAME":"M41251","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002083","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002083","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Migraine without aura","DESCRIPTION_FULL":"Repeated headache attacks lasting 4-72 h fulfilling at least two of the following criteria: 1) unilateral location, 2) pulsating quality, 3) moderate or severe pain intensity, and 4) aggravation by or causing avoidance of routine physical activity such as climbing stairs. Headache attacks are commonly accompanied by nausea, vomiting, photophobia, or phonophobia. [HPO:probinson, PMID:15304572]"}
{"STANDARD_NAME":"HP_ENCEPHALOCELE","SYSTEMATIC_NAME":"M35630","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002084","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002084","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Encephalocele","DESCRIPTION_FULL":"A neural tube defect characterized by sac-like protrusions of the brain and the membranes that cover it through openings in the skull. [HPO:probinson]"}
{"STANDARD_NAME":"HP_OCCIPITAL_ENCEPHALOCELE","SYSTEMATIC_NAME":"M35631","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002085","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002085","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Occipital encephalocele","DESCRIPTION_FULL":"A type of encephalocele (that is, a a protrusion of part of the cranial contents including brain tissue through a congenital opening in the cranium, typically covered with skin or mucous membrane) in the occipital region of the skull. Occipital encephalocele presents as a midline swelling over the occipital bone. It is usually covered with normal full-thickness scalp. [DDD:awilkie, HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_UPPER_RESPIRATORY_TRACT","SYSTEMATIC_NAME":"M35632","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002087","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002087","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the upper respiratory tract","DESCRIPTION_FULL":"An abnormality of the upper respiratory tract. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_LUNG_MORPHOLOGY","SYSTEMATIC_NAME":"M41252","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002088","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002088","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal lung morphology","DESCRIPTION_FULL":"Any structural anomaly of the lung. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PNEUMONIA","SYSTEMATIC_NAME":"M35633","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002090","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002090","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pneumonia","DESCRIPTION_FULL":"Inflammation of any part of the lung parenchyma. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RESTRICTIVE_VENTILATORY_DEFECT","SYSTEMATIC_NAME":"M35634","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002091","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002091","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Restrictive ventilatory defect","DESCRIPTION_FULL":"A functional defect characterized by reduced total lung capacity (TLC) not associated with abnormalities of expiratory airflow or airway resistance. Spirometrically, a restrictive defect is defined as FEV1 (forced expiratory volume in 1 second) and FVC (forced vital capacity) less than 80 per cent. Restrictive lung disease may be caused by alterations in lung parenchyma or because of a disease of the pleura, chest wall, or neuromuscular apparatus. [NIHR:ldaugherty, PMID:28194273]"}
{"STANDARD_NAME":"HP_RESPIRATORY_INSUFFICIENCY","SYSTEMATIC_NAME":"M35636","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002093","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002093","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Respiratory insufficiency"}
{"STANDARD_NAME":"HP_DYSPNEA","SYSTEMATIC_NAME":"M35637","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002094","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002094","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Dyspnea","DESCRIPTION_FULL":"Difficult or labored breathing. Dyspnea is a subjective feeling only the patient can rate, e.g., on a Borg scale. [HPO:probinson, PMID:16914301]"}
{"STANDARD_NAME":"HP_EMPHYSEMA","SYSTEMATIC_NAME":"M35638","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002097","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002097","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Emphysema"}
{"STANDARD_NAME":"HP_RESPIRATORY_DISTRESS","SYSTEMATIC_NAME":"M35639","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002098","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002098","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Respiratory distress","DESCRIPTION_FULL":"Respiratory distress is objectively observable as the physical or emotional consequences from the experience of dyspnea. The physical presentation of respiratory distress is generally referred to as labored breathing, while the sensation of respiratory distress is called shortness of breath or dyspnea. []"}
{"STANDARD_NAME":"HP_ASTHMA","SYSTEMATIC_NAME":"M35640","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002099","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002099","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Asthma","DESCRIPTION_FULL":"Asthma is characterized by increased responsiveness of the tracheobronchial tree to multiple stimuli, leading to narrowing of the air passages with resultant dyspnea, cough, and wheezing. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RECURRENT_ASPIRATION_PNEUMONIA","SYSTEMATIC_NAME":"M35641","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002100","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002100","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Recurrent aspiration pneumonia","DESCRIPTION_FULL":"Increased susceptibility to aspiration pneumonia, defined as pneumonia due to breathing in foreign material, as manifested by a medical history of repeated episodes of aspiration pneumonia. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_LUNG_LOBATION","SYSTEMATIC_NAME":"M35642","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002101","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002101","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal lung lobation","DESCRIPTION_FULL":"A developmental defect in the formation of pulmonary lobes. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PLEURITIS","SYSTEMATIC_NAME":"M35643","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002102","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002102","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pleuritis","DESCRIPTION_FULL":"Inflammation of the pleura. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_ABNORMAL_PLEURA_MORPHOLOGY","SYSTEMATIC_NAME":"M35644","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002103","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002103","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal pleura morphology","DESCRIPTION_FULL":"An abnormality of the pulmonary pleura, the thin, transparent membrane which covers the lungs and lines the inside of the chest walls. [HPO:probinson]"}
{"STANDARD_NAME":"HP_APNEA","SYSTEMATIC_NAME":"M35645","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002104","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002104","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Apnea","DESCRIPTION_FULL":"Lack of breathing with no movement of the respiratory muscles and no exchange of air in the lungs. This term refers to a disposition to have recurrent episodes of apnea rather than to a single event. [HPO:curators]"}
{"STANDARD_NAME":"HP_HEMOPTYSIS","SYSTEMATIC_NAME":"M35646","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002105","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002105","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hemoptysis","DESCRIPTION_FULL":"Coughing up (expectoration) of blood or blood-streaked sputum from the larynx, trachea, bronchi, or lungs. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PNEUMOTHORAX","SYSTEMATIC_NAME":"M35647","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002107","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002107","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pneumothorax","DESCRIPTION_FULL":"Accumulation of air in the pleural cavity leading to a partially or completely collapsed lung. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SPONTANEOUS_PNEUMOTHORAX","SYSTEMATIC_NAME":"M35648","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002108","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002108","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Spontaneous pneumothorax","DESCRIPTION_FULL":"Pneumothorax occurring without traumatic injury to the chest or lung. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PULMONARY_INFILTRATES","SYSTEMATIC_NAME":"M35650","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002113","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002113","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pulmonary infiltrates"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_CEREBRAL_VENTRICLES","SYSTEMATIC_NAME":"M35651","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002118","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002118","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the cerebral ventricles","DESCRIPTION_FULL":"Abnormality of the cerebral ventricles. [HPO:probinson]"}
{"STANDARD_NAME":"HP_VENTRICULOMEGALY","SYSTEMATIC_NAME":"M35652","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002119","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002119","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ventriculomegaly","DESCRIPTION_FULL":"An increase in size of the ventricular system of the brain. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CEREBRAL_CORTICAL_ATROPHY","SYSTEMATIC_NAME":"M35653","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002120","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002120","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cerebral cortical atrophy","DESCRIPTION_FULL":"Atrophy of the cortex of the cerebrum. [HPO:probinson]"}
{"STANDARD_NAME":"HP_POLYMICROGYRIA","SYSTEMATIC_NAME":"M35655","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002126","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002126","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Polymicrogyria","DESCRIPTION_FULL":"Polymicrogyria is a congenital malformation of the cerebral cortex characterized by abnormal cortical layering (lamination) and an excessive number of small gyri (folds). [COST:neuromig, HPO:probinson, PMID:24888723]"}
{"STANDARD_NAME":"HP_ABNORMAL_UPPER_MOTOR_NEURON_MORPHOLOGY","SYSTEMATIC_NAME":"M35656","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002127","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002127","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal upper motor neuron morphology","DESCRIPTION_FULL":"Any structural anomaly that affects the upper motor neuron. []"}
{"STANDARD_NAME":"HP_EPISODIC_ATAXIA","SYSTEMATIC_NAME":"M35657","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002131","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002131","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Episodic ataxia","DESCRIPTION_FULL":"Periodic spells of incoordination and imbalance, that is, episodes of ataxia typically lasting from 10 minutes to several hours or days.\\n [HPO:probinson]"}
{"STANDARD_NAME":"HP_PORENCEPHALIC_CYST","SYSTEMATIC_NAME":"M35658","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002132","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002132","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Porencephalic cyst","DESCRIPTION_FULL":"A cavity within the cerebral hemisphere, filled with cerebrospinal fluid, that communicates directly with the ventricular system. [HPO:probinson, PMID:9279052]"}
{"STANDARD_NAME":"HP_STATUS_EPILEPTICUS","SYSTEMATIC_NAME":"M35659","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002133","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002133","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Status epilepticus","DESCRIPTION_FULL":"Status epilepticus is a type of prolonged seizure resulting either from the failure of the mechanisms responsible for seizure termination or from the initiation of mechanisms which lead to abnormally prolonged seizures (after time point t1). It is a condition that can have long-term consequences (after time point t2), including neuronal death, neuronal injury, and alteration of neuronal networks, depending on the type and duration of seizures. [HPO:jalbers, ORCID:0000-0002-1735-8178, PMID:26336950, PMID:28276060]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_BASAL_GANGLIA","SYSTEMATIC_NAME":"M35660","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002134","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002134","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the basal ganglia","DESCRIPTION_FULL":"Abnormality of the basal ganglia. [HPO:probinson]"}
{"STANDARD_NAME":"HP_BASAL_GANGLIA_CALCIFICATION","SYSTEMATIC_NAME":"M35661","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002135","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002135","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Basal ganglia calcification","DESCRIPTION_FULL":"The presence of calcium deposition affecting one or more structures of the basal ganglia. [HPO:probinson]"}
{"STANDARD_NAME":"HP_BROAD_BASED_GAIT","SYSTEMATIC_NAME":"M35662","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002136","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002136","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Broad-based gait","DESCRIPTION_FULL":"An abnormal gait pattern in which persons stand and walk with their feet spaced widely apart. This is often a component of cerebellar ataxia. [HPO:curators]"}
{"STANDARD_NAME":"HP_SUBARACHNOID_HEMORRHAGE","SYSTEMATIC_NAME":"M35663","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002138","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002138","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Subarachnoid hemorrhage","DESCRIPTION_FULL":"Hemorrhage occurring between the arachnoid mater and the pia mater. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_ARRHINENCEPHALY","SYSTEMATIC_NAME":"M35664","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002139","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002139","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Arrhinencephaly"}
{"STANDARD_NAME":"HP_ISCHEMIC_STROKE","SYSTEMATIC_NAME":"M35665","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002140","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002140","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ischemic stroke","DESCRIPTION_FULL":"Acute ischemic stroke (AIS) is defined by the sudden loss of blood flow to an area of the brain with the resulting loss of neurologic function. It is caused by thrombosis or embolism that occludes a cerebral vessel supplying a specific area of the brain. During a vessel occlusion, there is a core area where damage to the brain is irreversible and an area of penumbra where the brain has lost function owing to decreased blood flow but is not irreversibly injured. [PMID:32054610]"}
{"STANDARD_NAME":"HP_GAIT_IMBALANCE","SYSTEMATIC_NAME":"M35666","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002141","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002141","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Gait imbalance"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_SPINAL_CORD","SYSTEMATIC_NAME":"M35667","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002143","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002143","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the spinal cord","DESCRIPTION_FULL":"An abnormality of the spinal cord (myelon). [HPO:probinson]"}
{"STANDARD_NAME":"HP_FRONTOTEMPORAL_DEMENTIA","SYSTEMATIC_NAME":"M35668","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002145","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002145","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Frontotemporal dementia","DESCRIPTION_FULL":"A dementia associated with degeneration of the frontotemporal lobe and clinically associated with personality and behavioral changes such as disinhibition, apathy, and lack of insight. The hallmark feature of frontotemporal dementia is the presentation with focal syndromes such as progressive language dysfunction, or aphasia, or behavioral changes characteristic of frontal lobe disorders. [HPO:probinson, PMID:24966676]"}
{"STANDARD_NAME":"HP_HYPOPHOSPHATEMIA","SYSTEMATIC_NAME":"M35669","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002148","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002148","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypophosphatemia","DESCRIPTION_FULL":"An abnormally decreased phosphate concentration in the blood. [HPO:gcarletti]"}
{"STANDARD_NAME":"HP_HYPERURICEMIA","SYSTEMATIC_NAME":"M41253","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002149","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002149","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hyperuricemia","DESCRIPTION_FULL":"An abnormally high level of uric acid in the blood. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INCREASED_SERUM_LACTATE","SYSTEMATIC_NAME":"M35671","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002151","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002151","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased serum lactate","DESCRIPTION_FULL":"Abnormally increased level of blood lactate (2-hydroxypropanoic acid). Lactate is produced from pyruvate by lactate dehydrogenase during normal metabolism. The terms lactate and lactic acid are often used interchangeably but lactate (the component measured in blood) is strictly a weak base whereas lactic acid is the corresponding acid. Lactic acidosis is often used clinically to describe elevated lactate but should be reserved for cases where there is a corresponding acidosis (pH below 7.35). [HPO:probinson, PMID:24079682]"}
{"STANDARD_NAME":"HP_HYPERKALEMIA","SYSTEMATIC_NAME":"M35672","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002153","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002153","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hyperkalemia","DESCRIPTION_FULL":"An abnormally increased potassium concentration in the blood. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPERTRIGLYCERIDEMIA","SYSTEMATIC_NAME":"M35673","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002155","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002155","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypertriglyceridemia","DESCRIPTION_FULL":"An abnormal increase in the level of triglycerides in the blood. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HOMOCYSTINURIA","SYSTEMATIC_NAME":"M35674","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002156","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002156","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Homocystinuria","DESCRIPTION_FULL":"An increased concentration of homocystine in the urine. [HPO:gcarletti]"}
{"STANDARD_NAME":"HP_HEPARAN_SULFATE_EXCRETION_IN_URINE","SYSTEMATIC_NAME":"M35675","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002159","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002159","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Heparan sulfate excretion in urine","DESCRIPTION_FULL":"An increased concentration of heparan sulfates in the urine. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPERHOMOCYSTINEMIA","SYSTEMATIC_NAME":"M35676","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002160","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002160","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hyperhomocystinemia","DESCRIPTION_FULL":"An increased concentration of homocystine in the blood. [HPO:gcarletti]"}
{"STANDARD_NAME":"HP_LOW_POSTERIOR_HAIRLINE","SYSTEMATIC_NAME":"M35677","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002162","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002162","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Low posterior hairline","DESCRIPTION_FULL":"Hair on the neck extends more inferiorly than usual. [PMID:19125436]"}
{"STANDARD_NAME":"HP_NAIL_DYSPLASIA","SYSTEMATIC_NAME":"M35678","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002164","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002164","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Nail dysplasia","DESCRIPTION_FULL":"The presence of developmental dysplasia of the nail. [HPO:probinson]"}
{"STANDARD_NAME":"HP_IMPAIRED_VIBRATION_SENSATION_IN_THE_LOWER_LIMBS","SYSTEMATIC_NAME":"M35679","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002166","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002166","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Impaired vibration sensation in the lower limbs","DESCRIPTION_FULL":"A decrease in the ability to perceive vibration in the legs. [HPO:curators]"}
{"STANDARD_NAME":"HP_NEUROLOGICAL_SPEECH_IMPAIRMENT","SYSTEMATIC_NAME":"M35680","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002167","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002167","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neurological speech impairment"}
{"STANDARD_NAME":"HP_SCANNING_SPEECH","SYSTEMATIC_NAME":"M35681","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002168","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002168","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Scanning speech"}
{"STANDARD_NAME":"HP_CLONUS","SYSTEMATIC_NAME":"M35682","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002169","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002169","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Clonus","DESCRIPTION_FULL":"A series of rhythmic and involuntary muscle contractions (at a frequency of about 5 to 7 Hz) that occur in response to an abruptly applied and sustained stretch. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INTRACRANIAL_HEMORRHAGE","SYSTEMATIC_NAME":"M35683","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002170","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002170","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Intracranial hemorrhage","DESCRIPTION_FULL":"Hemorrhage occurring within the skull. [HPO:gcarletti]"}
{"STANDARD_NAME":"HP_GLIOSIS","SYSTEMATIC_NAME":"M35684","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002171","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002171","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Gliosis","DESCRIPTION_FULL":"Gliosis is the focal proliferation of glial cells in the central nervous system. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_POSTURAL_INSTABILITY","SYSTEMATIC_NAME":"M35685","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002172","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002172","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Postural instability","DESCRIPTION_FULL":"A tendency to fall or the inability to keep oneself from falling; imbalance. The retropulsion test is widely regarded as the gold standard to evaluate postural instability, Use of the retropulsion test includes a rapid balance perturbation in the backward direction, and the number of balance correcting steps (or total absence thereof) is used to rate the degree of postural instability. Healthy subjects correct such perturbations with either one or two large steps, or without taking any steps, hinging rapidly at the hips while swinging the arms forward as a counterweight. In patients with balance impairment, balance correcting steps are often too small, forcing patients to take more than two steps. Taking three or more steps is generally considered to be abnormal, and taking more than five steps is regarded as being clearly abnormal. Markedly affected patients continue to step backward without ever regaining their balance and must be caught by the examiner (this would be called true retropulsion). Even more severely affected patients fail to correct entirely, and fall backward like a pushed toy soldier, without taking any corrective steps. [PMID:25613349]"}
{"STANDARD_NAME":"HP_HYPOGLYCEMIC_SEIZURES","SYSTEMATIC_NAME":"M35686","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002173","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002173","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypoglycemic seizures"}
{"STANDARD_NAME":"HP_POSTURAL_TREMOR","SYSTEMATIC_NAME":"M35687","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002174","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002174","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Postural tremor","DESCRIPTION_FULL":"A type of tremors that is triggered by holding a limb in a fixed position. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SPINAL_CORD_COMPRESSION","SYSTEMATIC_NAME":"M35688","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002176","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002176","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Spinal cord compression","DESCRIPTION_FULL":"External mechanical compression of the spinal cord. [HPO:probinson]"}
{"STANDARD_NAME":"HP_OPISTHOTONUS","SYSTEMATIC_NAME":"M35689","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002179","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002179","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Opisthotonus"}
{"STANDARD_NAME":"HP_NEURODEGENERATION","SYSTEMATIC_NAME":"M35690","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002180","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002180","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neurodegeneration","DESCRIPTION_FULL":"Progressive loss of neural cells and tissue. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CEREBRAL_EDEMA","SYSTEMATIC_NAME":"M35691","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002181","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002181","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cerebral edema","DESCRIPTION_FULL":"Abnormal accumulation of fluid in the brain. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PHONOPHOBIA","SYSTEMATIC_NAME":"M35692","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002183","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002183","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Phonophobia","DESCRIPTION_FULL":"An abnormally heightened sensitivity to loud sounds. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NEUROFIBRILLARY_TANGLES","SYSTEMATIC_NAME":"M35693","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002185","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002185","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neurofibrillary tangles","DESCRIPTION_FULL":"Pathological protein aggregates formed by hyperphosphorylation of a microtubule-associated protein known as tau, causing it to aggregate in an insoluble form. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_APRAXIA","SYSTEMATIC_NAME":"M35694","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002186","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002186","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Apraxia","DESCRIPTION_FULL":"A defect in the understanding of complex motor commands and in the execution of certain learned movements, i.e., deficits in the cognitive components of learned movements. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INTELLECTUAL_DISABILITY_PROFOUND","SYSTEMATIC_NAME":"M35695","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002187","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002187","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Intellectual disability, profound","DESCRIPTION_FULL":"Profound mental retardation is defined as an intelligence quotient (IQ) below 20. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DELAYED_CNS_MYELINATION","SYSTEMATIC_NAME":"M35696","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002188","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002188","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Delayed CNS myelination","DESCRIPTION_FULL":"Delayed myelination in the central nervous system. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CHOROID_PLEXUS_CYST","SYSTEMATIC_NAME":"M35697","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002190","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002190","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Choroid plexus cyst","DESCRIPTION_FULL":"A cyst occurring within the choroid plexus within a cerebral ventricle. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PROGRESSIVE_SPASTICITY","SYSTEMATIC_NAME":"M35698","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002191","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002191","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Progressive spasticity","DESCRIPTION_FULL":"Spasticity that increases in degree with time. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DELAYED_GROSS_MOTOR_DEVELOPMENT","SYSTEMATIC_NAME":"M35700","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002194","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002194","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Delayed gross motor development","DESCRIPTION_FULL":"A type of motor delay characterized by a delay in acquiring the ability to control the large muscles of the body for walking, running, sitting, and crawling. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DYSGENESIS_OF_THE_CEREBELLAR_VERMIS","SYSTEMATIC_NAME":"M35701","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002195","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002195","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Dysgenesis of the cerebellar vermis","DESCRIPTION_FULL":"Defective development of the vermis of cerebellum. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MYELOPATHY","SYSTEMATIC_NAME":"M35702","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002196","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002196","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Myelopathy"}
{"STANDARD_NAME":"HP_GENERALIZED_ONSET_SEIZURE","SYSTEMATIC_NAME":"M35703","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002197","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002197","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Generalized-onset seizure","DESCRIPTION_FULL":"A generalized-onset seizure is a type of seizure originating at some point within, and rapidly engaging, bilaterally distributed networks. The networks may include cortical and subcortical structures but not necessarily the entire cortex. [HPO:probinson, PMID:20196795, PMID:23739099, PMID:28276060, PMID:28276064, PMID:6790275]"}
{"STANDARD_NAME":"HP_DILATED_FOURTH_VENTRICLE","SYSTEMATIC_NAME":"M41254","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002198","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002198","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Dilated fourth ventricle","DESCRIPTION_FULL":"An abnormal dilatation of the fourth cerebral ventricle. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPOCALCEMIC_SEIZURES","SYSTEMATIC_NAME":"M35704","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002199","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002199","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypocalcemic seizures"}
{"STANDARD_NAME":"HP_PSEUDOBULBAR_SIGNS","SYSTEMATIC_NAME":"M35705","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002200","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002200","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pseudobulbar signs","DESCRIPTION_FULL":"Pseudobulbar signs result from injury to an upper motor neuron lesion to the corticobulbar pathways in the pyramidal tract. Patients have difficulty chewing, swallowing and demonstrate slurred speech (often initial presentation) as well as abnormal behavioral symptoms such as inappropriate emotional outbursts of uncontrolled laughter or weeping etc. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_PLEURAL_EFFUSION","SYSTEMATIC_NAME":"M35706","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002202","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002202","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pleural effusion","DESCRIPTION_FULL":"The presence of an excessive amount of fluid in the pleural cavity. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RESPIRATORY_PARALYSIS","SYSTEMATIC_NAME":"M35707","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002203","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002203","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Respiratory paralysis","DESCRIPTION_FULL":"Inability to move the muscles of respiration. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PULMONARY_EMBOLISM","SYSTEMATIC_NAME":"M35708","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002204","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002204","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pulmonary embolism","DESCRIPTION_FULL":"An embolus (that is, an abnormal particle circulating in the blood) located in the pulmonary artery and thereby blocking blood circulation to the lung. Usually the embolus is a blood clot that has developed in an extremity (for instance, a deep venous thrombosis), detached, and traveled through the circulation before becoming trapped in the pulmonary artery. []"}
{"STANDARD_NAME":"HP_RECURRENT_RESPIRATORY_INFECTIONS","SYSTEMATIC_NAME":"M41255","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002205","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002205","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Recurrent respiratory infections","DESCRIPTION_FULL":"An increased susceptibility to respiratory infections as manifested by a history of recurrent respiratory infections. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PULMONARY_FIBROSIS","SYSTEMATIC_NAME":"M35709","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002206","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002206","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pulmonary fibrosis","DESCRIPTION_FULL":"Replacement of normal lung tissues by fibroblasts and collagen. [DDD:tkuijpers, HPO:probinson]"}
{"STANDARD_NAME":"HP_COARSE_HAIR","SYSTEMATIC_NAME":"M35710","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002208","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002208","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Coarse hair","DESCRIPTION_FULL":"Hair shafts are rough in texture. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SPARSE_SCALP_HAIR","SYSTEMATIC_NAME":"M35711","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002209","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002209","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Sparse scalp hair","DESCRIPTION_FULL":"Decreased number of hairs per unit area of skin of the scalp. [PMID:19125436, PMID:28061825]"}
{"STANDARD_NAME":"HP_WHITE_FORELOCK","SYSTEMATIC_NAME":"M35712","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002211","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002211","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"White forelock","DESCRIPTION_FULL":"A triangular depigmented region of white hairs located in the anterior midline of the scalp. [DDD:probinson]"}
{"STANDARD_NAME":"HP_CURLY_HAIR","SYSTEMATIC_NAME":"M35713","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002212","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002212","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Curly hair"}
{"STANDARD_NAME":"HP_FINE_HAIR","SYSTEMATIC_NAME":"M35714","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002213","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002213","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Fine hair","DESCRIPTION_FULL":"Hair that is fine or thin to the touch. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PREMATURE_GRAYING_OF_HAIR","SYSTEMATIC_NAME":"M35715","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002216","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002216","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Premature graying of hair","DESCRIPTION_FULL":"Development of gray hair at a younger than normal age. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SILVER_GRAY_HAIR","SYSTEMATIC_NAME":"M41256","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002218","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002218","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Silver-gray hair","DESCRIPTION_FULL":"Hypopigmented hair that appears silver-gray. [HPO:probinson]"}
{"STANDARD_NAME":"HP_FACIAL_HYPERTRICHOSIS","SYSTEMATIC_NAME":"M35716","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002219","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002219","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Facial hypertrichosis","DESCRIPTION_FULL":"Excessive, increased hair growth located in the facial region. []"}
{"STANDARD_NAME":"HP_ABSENT_AXILLARY_HAIR","SYSTEMATIC_NAME":"M35717","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002221","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002221","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Absent axillary hair","DESCRIPTION_FULL":"Absence of axillary hair. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABSENT_EYEBROW","SYSTEMATIC_NAME":"M35718","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002223","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002223","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Absent eyebrow","DESCRIPTION_FULL":"Absence of the eyebrow. [HPO:probinson]"}
{"STANDARD_NAME":"HP_WOOLLY_HAIR","SYSTEMATIC_NAME":"M35719","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002224","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002224","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Woolly hair","DESCRIPTION_FULL":"The term woolly hair refers to an abnormal variant of hair that is fine, with tightly coiled curls, and often hypopigmented. Optical microscopy may reveal the presence of tight spirals and a clear diameter reduction as compared with normal hair. Electron microscopy may show flat, oval hair shafts with reduced transversal diameter. [PMID:20464096]"}
{"STANDARD_NAME":"HP_WHITE_EYEBROW","SYSTEMATIC_NAME":"M35720","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002226","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002226","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"White eyebrow","DESCRIPTION_FULL":"White color (lack of pigmentation) of the eyebrow. [HPO:probinson]"}
{"STANDARD_NAME":"HP_GENERALIZED_HIRSUTISM","SYSTEMATIC_NAME":"M35721","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002230","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002230","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Generalized hirsutism","DESCRIPTION_FULL":"Abnormally increased hair growth over much of the entire body. [HPO:curators]"}
{"STANDARD_NAME":"HP_SPARSE_BODY_HAIR","SYSTEMATIC_NAME":"M35722","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002231","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002231","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Sparse body hair","DESCRIPTION_FULL":"Sparseness of the body hair. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PATCHY_ALOPECIA","SYSTEMATIC_NAME":"M35723","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002232","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002232","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Patchy alopecia","DESCRIPTION_FULL":"Transient, non-scarring hair loss and preservation of the hair follicle located in in well-defined patches. []"}
{"STANDARD_NAME":"HP_PILI_CANALICULI","SYSTEMATIC_NAME":"M35724","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002235","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002235","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pili canaliculi","DESCRIPTION_FULL":"Uncombable hair. [HPO:probinson]"}
{"STANDARD_NAME":"HP_GASTROINTESTINAL_HEMORRHAGE","SYSTEMATIC_NAME":"M35726","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002239","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002239","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Gastrointestinal hemorrhage","DESCRIPTION_FULL":"Hemorrhage affecting the gastrointestinal tract. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HEPATOMEGALY","SYSTEMATIC_NAME":"M35727","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002240","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002240","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hepatomegaly","DESCRIPTION_FULL":"Abnormally increased size of the liver. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_INTESTINE_MORPHOLOGY","SYSTEMATIC_NAME":"M35728","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002242","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002242","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal intestine morphology","DESCRIPTION_FULL":"An abnormality of the intestine. The closely related term enteropathy is used to refer to any disease of the intestine. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PROTEIN_LOSING_ENTEROPATHY","SYSTEMATIC_NAME":"M35729","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002243","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002243","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Protein-losing enteropathy","DESCRIPTION_FULL":"Abnormal loss of protein from the digestive tract related to excessive leakage of plasma proteins into the lumen of the gastrointestinal tract. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_SMALL_INTESTINE","SYSTEMATIC_NAME":"M35730","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002244","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002244","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the small intestine","DESCRIPTION_FULL":"An abnormality of the small intestine. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_DUODENUM_MORPHOLOGY","SYSTEMATIC_NAME":"M35731","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002246","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002246","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal duodenum morphology","DESCRIPTION_FULL":"An abnormality of the duodenum, i.e., the first section of the small intestine. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DUODENAL_ATRESIA","SYSTEMATIC_NAME":"M35732","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002247","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002247","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Duodenal atresia","DESCRIPTION_FULL":"A developmental defect resulting in complete obliteration of the duodenal lumen, that is, an abnormal closure of the duodenum. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HEMATEMESIS","SYSTEMATIC_NAME":"M35733","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002248","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002248","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hematemesis","DESCRIPTION_FULL":"The vomiting of blood. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MELENA","SYSTEMATIC_NAME":"M35734","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002249","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002249","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Melena","DESCRIPTION_FULL":"The passage of blackish, tarry feces associated with gastrointestinal hemorrhage. Melena occurs if the blood remains in the colon long enough for it to be broken down by colonic bacteria. One degradation product, hematin, imbues the stool with a blackish color. Thus, melena generally occurs with bleeding from the upper gastrointestinal tract (e.g., stomach ulcers or duodenal ulcers), since the blood usually remains in the gut for a longer period of time than with lower gastrointestinal bleeding. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_LARGE_INTESTINE_MORPHOLOGY","SYSTEMATIC_NAME":"M35735","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002250","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002250","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal large intestine morphology","DESCRIPTION_FULL":"Any abnormality of the large intestine. [HPO:probinson]"}
{"STANDARD_NAME":"HP_AGANGLIONIC_MEGACOLON","SYSTEMATIC_NAME":"M35736","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002251","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002251","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aganglionic megacolon","DESCRIPTION_FULL":"An abnormality resulting from a lack of intestinal ganglion cells (i.e., an aganglionic section of bowel) that results in bowel obstruction with enlargement of the colon. [HPO:probinson, PMID:17965226]"}
{"STANDARD_NAME":"HP_COLONIC_DIVERTICULA","SYSTEMATIC_NAME":"M35737","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002253","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002253","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Colonic diverticula","DESCRIPTION_FULL":"The presence of multiple diverticula of the colon. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INTERMITTENT_DIARRHEA","SYSTEMATIC_NAME":"M35738","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002254","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002254","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Intermittent diarrhea","DESCRIPTION_FULL":"Repeated episodes of diarrhea separated by periods without diarrhea. []"}
{"STANDARD_NAME":"HP_CHRONIC_RHINITIS","SYSTEMATIC_NAME":"M35739","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002257","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002257","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Chronic rhinitis","DESCRIPTION_FULL":"Chronic inflammation of the nasal mucosa. [HPO:probinson]"}
{"STANDARD_NAME":"HP_EXAGGERATED_CUPID_S_BOW","SYSTEMATIC_NAME":"M35740","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002263","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002263","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Exaggerated cupid's bow","DESCRIPTION_FULL":"More pronounced paramedian peaks and median notch of the Cupid's bow. [PMID:19125428]"}
{"STANDARD_NAME":"HP_LARGE_FLESHY_EARS","SYSTEMATIC_NAME":"M35741","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002265","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002265","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Large fleshy ears"}
{"STANDARD_NAME":"HP_FOCAL_CLONIC_SEIZURE","SYSTEMATIC_NAME":"M35742","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002266","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002266","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Focal clonic seizure","DESCRIPTION_FULL":"A focal clonic seizure is a type of focal motor seizure characterized by sustained rhythmic jerking, that is regularly repetitive. [ORCID:0000-0002-1735-8178, PMID:11580774, PMID:28276060, PMID:28276064]"}
{"STANDARD_NAME":"HP_EXAGGERATED_STARTLE_RESPONSE","SYSTEMATIC_NAME":"M35743","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002267","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002267","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Exaggerated startle response","DESCRIPTION_FULL":"An exaggerated startle reaction in response to a sudden unexpected visual or acoustic stimulus, or a quick movement near the face. [HPO:curators]"}
{"STANDARD_NAME":"HP_PAROXYSMAL_DYSTONIA","SYSTEMATIC_NAME":"M35744","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002268","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002268","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Paroxysmal dystonia","DESCRIPTION_FULL":"A form of dystonia characterized by episodes of dystonia (often hemidystonia or generalized) lasting from minutes to hours. There are no dystonic symptoms between episodes. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_NEURONAL_MIGRATION","SYSTEMATIC_NAME":"M35745","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002269","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002269","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of neuronal migration","DESCRIPTION_FULL":"An abnormality resulting from an anomaly of neuronal migration, i.e., of the process by which neurons travel from their origin to their final position in the brain. [HPO:probinson]"}
{"STANDARD_NAME":"HP_TETRAPARESIS","SYSTEMATIC_NAME":"M35746","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002273","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002273","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Tetraparesis","DESCRIPTION_FULL":"Weakness of all four limbs. [HPO:probinson]"}
{"STANDARD_NAME":"HP_POOR_MOTOR_COORDINATION","SYSTEMATIC_NAME":"M35747","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002275","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002275","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Poor motor coordination"}
{"STANDARD_NAME":"HP_ENLARGED_CISTERNA_MAGNA","SYSTEMATIC_NAME":"M35748","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002280","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002280","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Enlarged cisterna magna","DESCRIPTION_FULL":"Increase in size of the cisterna magna, one of three principal openings in the subarachnoid space between the arachnoid and pia mater, located between the cerebellum and the dorsal surface of the medulla oblongata. [HPO:probinson]"}
{"STANDARD_NAME":"HP_GRAY_MATTER_HETEROTOPIA","SYSTEMATIC_NAME":"M35749","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002282","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002282","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Gray matter heterotopia","DESCRIPTION_FULL":"Heterotopia or neuronal heterotopia are macroscopic clusters of misplaced neurons (gray matter), most often situated along the ventricular walls or within the subcortical white matter. [COST:neuromig, ORCID:0000-0001-5208-3432, PMID:22427329, PMID:25180909, PMID:7524438]"}
{"STANDARD_NAME":"HP_GLOBAL_BRAIN_ATROPHY","SYSTEMATIC_NAME":"M35750","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002283","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002283","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Global brain atrophy","DESCRIPTION_FULL":"Unlocalized atrophy of the brain with decreased total brain matter volume and increased ventricular size. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_FAIR_HAIR","SYSTEMATIC_NAME":"M35751","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002286","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002286","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Fair hair","DESCRIPTION_FULL":"A lesser degree of hair pigmentation than would otherwise be expected. [DDD:cmoss]"}
{"STANDARD_NAME":"HP_ALOPECIA_UNIVERSALIS","SYSTEMATIC_NAME":"M35752","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002289","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002289","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Alopecia universalis","DESCRIPTION_FULL":"Loss of all hair on the entire body. [HPO:probinson]"}
{"STANDARD_NAME":"HP_FRONTAL_BALDING","SYSTEMATIC_NAME":"M41257","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002292","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002292","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Frontal balding","DESCRIPTION_FULL":"Absence of hair in the anterior midline and/or parietal areas. [PMID:19125436]"}
{"STANDARD_NAME":"HP_ALOPECIA_OF_SCALP","SYSTEMATIC_NAME":"M35753","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002293","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002293","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Alopecia of scalp"}
{"STANDARD_NAME":"HP_RED_HAIR","SYSTEMATIC_NAME":"M35754","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002297","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002297","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Red hair"}
{"STANDARD_NAME":"HP_ABSENT_HAIR","SYSTEMATIC_NAME":"M35755","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002298","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002298","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Absent hair"}
{"STANDARD_NAME":"HP_BRITTLE_HAIR","SYSTEMATIC_NAME":"M35756","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002299","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002299","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Brittle hair","DESCRIPTION_FULL":"Fragile, easily breakable hair, i.e., with reduced tensile strength. [DDD:cmoss]"}
{"STANDARD_NAME":"HP_MUTISM","SYSTEMATIC_NAME":"M35757","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002300","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002300","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Mutism"}
{"STANDARD_NAME":"HP_HEMIPLEGIA","SYSTEMATIC_NAME":"M35758","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002301","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002301","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hemiplegia","DESCRIPTION_FULL":"Paralysis (complete loss of muscle function) in the arm, leg, and in some cases the face on one side of the body. [HPO:curators]"}
{"STANDARD_NAME":"HP_AKINESIA","SYSTEMATIC_NAME":"M35759","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002304","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002304","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Akinesia","DESCRIPTION_FULL":"Inability to initiate changes in activity or movement and to perform ordinary volitional movements rapidly and easily. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ATHETOSIS","SYSTEMATIC_NAME":"M35760","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002305","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002305","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Athetosis","DESCRIPTION_FULL":"A slow, continuous, involuntary writhing movement that prevents maintenance of a stable posture. Athetosis involves continuous smooth movements that appear random and are not composed of recognizable sub-movements or movement fragments. In contrast to chorea, in athetosis, the same regions of the body are repeatedly involved. Athetosis may worsen with attempts at movement of posture, but athetosis can also occur at rest. [HPO:probinson, PMID:20589866]"}
{"STANDARD_NAME":"HP_ARNOLD_CHIARI_MALFORMATION","SYSTEMATIC_NAME":"M35761","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002308","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002308","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Arnold-Chiari malformation","DESCRIPTION_FULL":"Arnold-Chiari malformation consists of a downward displacement of the cerebellar tonsils and the medulla through the foramen magnum, sometimes causing hydrocephalus as a result of obstruction of CSF outflow. [HPO:curators]"}
{"STANDARD_NAME":"HP_OROFACIAL_DYSKINESIA","SYSTEMATIC_NAME":"M35762","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002310","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002310","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Orofacial dyskinesia"}
{"STANDARD_NAME":"HP_INCOORDINATION","SYSTEMATIC_NAME":"M35763","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002311","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002311","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Incoordination"}
{"STANDARD_NAME":"HP_CLUMSINESS","SYSTEMATIC_NAME":"M35764","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002312","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002312","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Clumsiness","DESCRIPTION_FULL":"Lack of physical coordination resulting in an abnormal tendency to drop items or bump into objects. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SPASTIC_PARAPARESIS","SYSTEMATIC_NAME":"M35765","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002313","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002313","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Spastic paraparesis"}
{"STANDARD_NAME":"HP_DEGENERATION_OF_THE_LATERAL_CORTICOSPINAL_TRACTS","SYSTEMATIC_NAME":"M35766","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002314","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002314","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Degeneration of the lateral corticospinal tracts","DESCRIPTION_FULL":"Deterioration of the tissues of the lateral corticospinal tracts. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HEADACHE","SYSTEMATIC_NAME":"M35767","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002315","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002315","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Headache","DESCRIPTION_FULL":"Cephalgia, or pain sensed in various parts of the head, not confined to the area of distribution of any nerve. [HPO:probinson, PMID:15304572]"}
{"STANDARD_NAME":"HP_UNSTEADY_GAIT","SYSTEMATIC_NAME":"M35768","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002317","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002317","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Unsteady gait"}
{"STANDARD_NAME":"HP_CERVICAL_MYELOPATHY","SYSTEMATIC_NAME":"M35769","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002318","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002318","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cervical myelopathy"}
{"STANDARD_NAME":"HP_VERTIGO","SYSTEMATIC_NAME":"M35770","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002321","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002321","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Vertigo","DESCRIPTION_FULL":"An abnormal sensation of spinning while the body is actually stationary. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RESTING_TREMOR","SYSTEMATIC_NAME":"M35771","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002322","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002322","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Resting tremor","DESCRIPTION_FULL":"A resting tremor occurs when muscles are at rest and becomes less noticeable or disappears when the affected muscles are moved. Resting tremors are often slow and coarse. [HPO:probinson, PMID:22675666]"}
{"STANDARD_NAME":"HP_ANENCEPHALY","SYSTEMATIC_NAME":"M35772","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002323","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002323","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Anencephaly","DESCRIPTION_FULL":"Anencephaly is a developmental anomaly characterized by a fetus that has no calvarium, with a lack of most or all of the fetus' brain tissue. Anencephaly belongs to a collective group known as neural tube defects (NTD) and is a result of the neural tube failing to close in its rostral end during fetal development. [PMID:31424828]"}
{"STANDARD_NAME":"HP_HYDRANENCEPHALY","SYSTEMATIC_NAME":"M35773","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002324","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002324","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hydranencephaly","DESCRIPTION_FULL":"A defect of development of the brain characterized by replacement of greater portions of the cerebral hemispheres and the corpus striatum by cerebrospinal fluid (CSF) and glial tissue. [HPO:probinson]"}
{"STANDARD_NAME":"HP_TRANSIENT_ISCHEMIC_ATTACK","SYSTEMATIC_NAME":"M35774","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002326","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002326","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Transient ischemic attack"}
{"STANDARD_NAME":"HP_DROWSINESS","SYSTEMATIC_NAME":"M35775","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002329","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002329","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Drowsiness","DESCRIPTION_FULL":"Excessive daytime sleepiness. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RECURRENT_PAROXYSMAL_HEADACHE","SYSTEMATIC_NAME":"M35776","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002331","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002331","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Recurrent paroxysmal headache","DESCRIPTION_FULL":"Repeated episodes of headache with rapid onset, reaching a peak within minutes and of short duration (less than one hour) with pain that is throbbing, pulsating, or bursting in quality. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MOTOR_DETERIORATION","SYSTEMATIC_NAME":"M35777","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002333","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002333","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Motor deterioration","DESCRIPTION_FULL":"Loss of previously present motor (i.e., movement) abilities. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_CEREBELLAR_VERMIS","SYSTEMATIC_NAME":"M35778","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002334","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002334","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the cerebellar vermis","DESCRIPTION_FULL":"An anomaly of the vermis of cerebellum. [HPO:probinson]"}
{"STANDARD_NAME":"HP_AGENESIS_OF_CEREBELLAR_VERMIS","SYSTEMATIC_NAME":"M35779","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002335","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002335","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Agenesis of cerebellar vermis","DESCRIPTION_FULL":"Congenital absence of the vermis of cerebellum. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_CAUDATE_NUCLEUS_MORPHOLOGY","SYSTEMATIC_NAME":"M35780","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002339","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002339","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal caudate nucleus morphology","DESCRIPTION_FULL":"Any structural abnormality of the caudate nucleus. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CAUDATE_ATROPHY","SYSTEMATIC_NAME":"M35781","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002340","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002340","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Caudate atrophy"}
{"STANDARD_NAME":"HP_CERVICAL_CORD_COMPRESSION","SYSTEMATIC_NAME":"M35782","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002341","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002341","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cervical cord compression","DESCRIPTION_FULL":"Compression of the spinal cord in the cervical region, generally manifested by paresthesias and numbness, weakness, difficulty walking, abnormalities of coordination, and neck pain or stiffness. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INTELLECTUAL_DISABILITY_MODERATE","SYSTEMATIC_NAME":"M35783","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002342","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002342","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Intellectual disability, moderate","DESCRIPTION_FULL":"Moderate mental retardation is defined as an intelligence quotient (IQ) in the range of 35-49. [HPO:curators]"}
{"STANDARD_NAME":"HP_PROGRESSIVE_NEUROLOGIC_DETERIORATION","SYSTEMATIC_NAME":"M35784","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002344","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002344","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Progressive neurologic deterioration"}
{"STANDARD_NAME":"HP_ACTION_TREMOR","SYSTEMATIC_NAME":"M35785","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002345","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002345","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Action tremor","DESCRIPTION_FULL":"A tremor present when the limbs are active, either when outstretched in a certain position or throughout a voluntary movement. [HPO:curators]"}
{"STANDARD_NAME":"HP_HEAD_TREMOR","SYSTEMATIC_NAME":"M35786","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002346","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002346","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Head tremor","DESCRIPTION_FULL":"An unintentional, oscillating to-and-fro muscle movement affecting head movement. [HPO:probinson]"}
{"STANDARD_NAME":"HP_FOCAL_AWARE_SEIZURE","SYSTEMATIC_NAME":"M35787","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002349","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002349","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Focal aware seizure","DESCRIPTION_FULL":"A type of focal-onset seizure in which awareness is preserved. Awareness during a seizure is defined as the patient being fully aware of themself and their environment throughout the seizure, even if immobile. [HPO:probinson, ORCID:0000-0002-1735-8178, PMID:28276060, PMID:28276062, PMID:28276064]"}
{"STANDARD_NAME":"HP_CEREBELLAR_CYST","SYSTEMATIC_NAME":"M35788","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002350","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002350","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cerebellar cyst"}
{"STANDARD_NAME":"HP_LEUKOENCEPHALOPATHY","SYSTEMATIC_NAME":"M35789","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002352","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002352","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Leukoencephalopathy","DESCRIPTION_FULL":"This term describes abnormality of the white matter of the cerebrum resulting from damage to the myelin sheaths of nerve cells. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MEMORY_IMPAIRMENT","SYSTEMATIC_NAME":"M35790","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002354","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002354","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Memory impairment","DESCRIPTION_FULL":"An impairment of memory as manifested by a reduced ability to remember things such as dates and names, and increased forgetfulness. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DIFFICULTY_WALKING","SYSTEMATIC_NAME":"M35791","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002355","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002355","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Difficulty walking","DESCRIPTION_FULL":"Reduced ability to walk (ambulate). [HPO:probinson]"}
{"STANDARD_NAME":"HP_WRITER_S_CRAMP","SYSTEMATIC_NAME":"M35792","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002356","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002356","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Writer's cramp","DESCRIPTION_FULL":"A focal dystonia of the fingers, hand, and/or forearm that appears when the affected person attempts to do a task that requires fine motor movements such as writing or playing a musical instrument. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DYSPHASIA","SYSTEMATIC_NAME":"M35793","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002357","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002357","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Dysphasia"}
{"STANDARD_NAME":"HP_FREQUENT_FALLS","SYSTEMATIC_NAME":"M35794","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002359","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002359","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Frequent falls"}
{"STANDARD_NAME":"HP_SLEEP_DISTURBANCE","SYSTEMATIC_NAME":"M35795","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002360","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002360","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Sleep disturbance","DESCRIPTION_FULL":"An abnormality of sleep including such phenomena as 1) insomnia/hypersomnia, 2) non-restorative sleep, 3) sleep schedule disorder, 4) excessive daytime somnolence, 5) sleep apnea, and 6) restlessness. [HPO:curators]"}
{"STANDARD_NAME":"HP_PSYCHOMOTOR_DETERIORATION","SYSTEMATIC_NAME":"M35796","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002361","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002361","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Psychomotor deterioration","DESCRIPTION_FULL":"Loss of previously present mental and motor abilities. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SHUFFLING_GAIT","SYSTEMATIC_NAME":"M35797","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002362","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002362","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Shuffling gait","DESCRIPTION_FULL":"A type of gait (walking) characterized by by dragging one's feet along or without lifting the feet fully from the ground. []"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_BRAINSTEM_MORPHOLOGY","SYSTEMATIC_NAME":"M35798","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002363","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002363","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of brainstem morphology","DESCRIPTION_FULL":"An anomaly of the brainstem. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPOPLASIA_OF_THE_BRAINSTEM","SYSTEMATIC_NAME":"M35799","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002365","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002365","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypoplasia of the brainstem","DESCRIPTION_FULL":"Underdevelopment of the brainstem. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_LOWER_MOTOR_NEURON_MORPHOLOGY","SYSTEMATIC_NAME":"M35800","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002366","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002366","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal lower motor neuron morphology","DESCRIPTION_FULL":"Any structural anomaly of the lower motor neuron. [HPO:probinson]"}
{"STANDARD_NAME":"HP_VISUAL_HALLUCINATIONS","SYSTEMATIC_NAME":"M35801","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002367","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002367","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Visual hallucinations"}
{"STANDARD_NAME":"HP_POOR_COORDINATION","SYSTEMATIC_NAME":"M35802","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002370","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002370","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Poor coordination"}
{"STANDARD_NAME":"HP_LOSS_OF_SPEECH","SYSTEMATIC_NAME":"M35803","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002371","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002371","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Loss of speech"}
{"STANDARD_NAME":"HP_NORMAL_INTERICTAL_EEG","SYSTEMATIC_NAME":"M41258","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002372","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002372","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Normal interictal EEG","DESCRIPTION_FULL":"Lack of observable abnormal electroencephalographic (EEG) patterns in an individual with a history of seizures. About half of individuals with epilepsy show interictal epileptiform discharges upon the first investigation. The yield can be increased by repeated studies, sleep studies, or by ambulatory EEG recordings over 24 hours. Normal interictal EEG is a sign that can be useful in the differential diagnosis. []"}
{"STANDARD_NAME":"HP_DIMINISHED_MOVEMENT","SYSTEMATIC_NAME":"M35804","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002374","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002374","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Diminished movement"}
{"STANDARD_NAME":"HP_HYPOKINESIA","SYSTEMATIC_NAME":"M35805","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002375","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002375","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypokinesia","DESCRIPTION_FULL":"Abnormally diminished motor activity. In contrast to paralysis, hypokinesia is not characterized by a lack of motor strength, but rather by a poverty of movement. The typical habitual movements (e.g., folding the arms, crossing the legs) are reduced in frequency. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DEVELOPMENTAL_REGRESSION","SYSTEMATIC_NAME":"M35806","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002376","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002376","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Developmental regression","DESCRIPTION_FULL":"Loss of developmental skills, as manifested by loss of developmental milestones. [DDD:hvfirth]"}
{"STANDARD_NAME":"HP_HAND_TREMOR","SYSTEMATIC_NAME":"M35807","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002378","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002378","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hand tremor","DESCRIPTION_FULL":"An unintentional, oscillating to-and-fro muscle movement affecting the hand. []"}
{"STANDARD_NAME":"HP_FASCICULATIONS","SYSTEMATIC_NAME":"M35808","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002380","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002380","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Fasciculations","DESCRIPTION_FULL":"Fasciculations are observed as small, local, involuntary muscle contractions (twitching) visible under the skin. Fasciculations result from increased irritability of an axon (which in turn is often a manifestation of disease of a motor neuron). This leads to sporadic discharges of all the muscle fibers controlled by the axon in isolation from other motor units. [HPO:curators]"}
{"STANDARD_NAME":"HP_APHASIA","SYSTEMATIC_NAME":"M35809","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002381","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002381","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aphasia","DESCRIPTION_FULL":"An acquired language impairment of some or all of the abilities to produce or comprehend speech and to read or write. []"}
{"STANDARD_NAME":"HP_ENCEPHALITIS","SYSTEMATIC_NAME":"M35810","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002383","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002383","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Encephalitis"}
{"STANDARD_NAME":"HP_FOCAL_IMPAIRED_AWARENESS_SEIZURE","SYSTEMATIC_NAME":"M35811","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002384","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002384","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Focal impaired awareness seizure","DESCRIPTION_FULL":"Focal impaired awareness seizure (or focal seizure with impaired or lost awareness) is a type of focal-onset seizure characterized by some degree (which may be partial) of impairment of the person's awareness of themselves or their surroundings at any point during the seizure. [HPO:pnrobinson, PMID:28276062, PMID:28276064, PMID:9738682]"}
{"STANDARD_NAME":"HP_PARAPARESIS","SYSTEMATIC_NAME":"M35812","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002385","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002385","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Paraparesis","DESCRIPTION_FULL":"Weakness or partial paralysis in the lower limbs. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CAVUM_SEPTUM_PELLUCIDUM","SYSTEMATIC_NAME":"M35813","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002389","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002389","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cavum septum pellucidum","DESCRIPTION_FULL":"If the two laminae of the septum pellucidum are not fused then a fluid-filled space or cavum is present. The cavum septum pellucidum is present at birth but usually obliterates by the age of 3 to 6 months. It is up to 1cm in width and the walls are parallel. It is an enclosed space and is not part of the ventricular system or connected with the subarachnoid space. [HPO:curators]"}
{"STANDARD_NAME":"HP_EEG_WITH_POLYSPIKE_WAVE_COMPLEXES","SYSTEMATIC_NAME":"M35814","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002392","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002392","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"EEG with polyspike wave complexes","DESCRIPTION_FULL":"The presence of complexes of repetitive spikes and waves in EEG. [HPO:jalbers]"}
{"STANDARD_NAME":"HP_LOWER_LIMB_HYPERREFLEXIA","SYSTEMATIC_NAME":"M35815","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002395","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002395","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Lower limb hyperreflexia"}
{"STANDARD_NAME":"HP_COGWHEEL_RIGIDITY","SYSTEMATIC_NAME":"M35816","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002396","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002396","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cogwheel rigidity","DESCRIPTION_FULL":"A type of rigidity in which a muscle responds with cogwheellike jerks to the use of constant force in bending the limb (i.e., it gives way in little, repeated jerks when the muscle is passively stretched). [HPO:probinson]"}
{"STANDARD_NAME":"HP_STROKE_LIKE_EPISODE","SYSTEMATIC_NAME":"M35817","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002401","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002401","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Stroke-like episode","DESCRIPTION_FULL":"No consensus exists on what a stroke-like episode is, but these episodes can be functionally defined as a new neurological deficit, occurring with or without the context of seizures, which last longer than 24 hours. [PMID:22715346, PMID:23907585]"}
{"STANDARD_NAME":"HP_POSITIVE_ROMBERG_SIGN","SYSTEMATIC_NAME":"M35818","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002403","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002403","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Positive Romberg sign","DESCRIPTION_FULL":"The patient stands with the feet placed together and balance and is asked to close his or her eyes. A loss of balance upon eye closure is a positive Romberg sign and is interpreted as indicating a deficit in proprioception. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LIMB_DYSMETRIA","SYSTEMATIC_NAME":"M35819","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002406","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002406","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Limb dysmetria","DESCRIPTION_FULL":"A type of dysmetria involving the limbs. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CEREBRAL_ARTERIOVENOUS_MALFORMATION","SYSTEMATIC_NAME":"M35820","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002408","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002408","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cerebral arteriovenous malformation","DESCRIPTION_FULL":"An anomalous configuration of blood vessels that shunts arterial blood directly into veins without passing through the capillaries and that is located in the brain. []"}
{"STANDARD_NAME":"HP_AQUEDUCTAL_STENOSIS","SYSTEMATIC_NAME":"M35821","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002410","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002410","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aqueductal stenosis","DESCRIPTION_FULL":"Stenosis of the cerebral aqueduct (also known as the mesencephalic duct, aqueductus mesencephali, or aqueduct of Sylvius), which connects the third cerebral ventricle in the diencephalon to the fourth ventricle, which is between the pons and cerebellum. [HPO:curators]"}
{"STANDARD_NAME":"HP_MYOKYMIA","SYSTEMATIC_NAME":"M35822","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002411","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002411","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Myokymia","DESCRIPTION_FULL":"Myokymia consists of involuntary, fine, continuous, undulating contractions that spread across the affected striated muscle. [PMID:21501741]"}
{"STANDARD_NAME":"HP_LEUKODYSTROPHY","SYSTEMATIC_NAME":"M35823","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002415","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002415","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Leukodystrophy","DESCRIPTION_FULL":"Leukodystrophy refers to deterioration of white matter of the brain resulting from degeneration of myelin sheaths in the CNS. Their basic defect is directly related to the synthesis and maintenance of myelin membranes. Symmetric white matter involvement at MRI is a typical finding in patients with leukodystrophies. [HPO:probinson, PMID:30620693]"}
{"STANDARD_NAME":"HP_SUBEPENDYMAL_CYSTS","SYSTEMATIC_NAME":"M35824","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002416","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002416","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Subependymal cysts","DESCRIPTION_FULL":"Cerebral cysts, usually located in the wall of the caudate nucleus or in the caudothalamic groove. They are found in up to 5.2% of all neonates, using transfontanellar ultrasound in the first days of life. [HPO:probinson, PMID:12423490]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_MIDBRAIN_MORPHOLOGY","SYSTEMATIC_NAME":"M35825","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002418","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002418","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of midbrain morphology","DESCRIPTION_FULL":"An abnormality of the midbrain, which has as its parts the tectum, cerebral peduncle, midbrain tegmentum and cerebral aqueduct. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MOLAR_TOOTH_SIGN_ON_MRI","SYSTEMATIC_NAME":"M35826","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002419","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002419","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Molar tooth sign on MRI","DESCRIPTION_FULL":"An abnormal appearance of the midbrain in axial magnetic resonance imaging in which the elongated superior cerebellar peduncles give the midbrain an appearance reminiscent of a molar or wisdom tooth. [HPO:probinson, PMID:14657304]"}
{"STANDARD_NAME":"HP_POOR_HEAD_CONTROL","SYSTEMATIC_NAME":"M35827","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002421","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002421","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Poor head control","DESCRIPTION_FULL":"Difficulty to maintain correct position of the head while standing or sitting. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LONG_TRACT_SIGNS","SYSTEMATIC_NAME":"M35828","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002423","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002423","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Long-tract signs"}
{"STANDARD_NAME":"HP_ANARTHRIA","SYSTEMATIC_NAME":"M35829","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002425","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002425","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Anarthria","DESCRIPTION_FULL":"A defect in the motor ability that enables speech. [HPO:curators]"}
{"STANDARD_NAME":"HP_MOTOR_APHASIA","SYSTEMATIC_NAME":"M35830","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002427","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002427","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Motor aphasia","DESCRIPTION_FULL":"Impairment of expressive language and relative preservation of receptive language abilities. That is, the patient understands language (speech, writing) but cannot express it. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MENINGOCELE","SYSTEMATIC_NAME":"M35831","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002435","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002435","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Meningocele","DESCRIPTION_FULL":"Protrusion of the meninges through a defect of the vertebral column. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_OCCIPITAL_MENINGOCELE","SYSTEMATIC_NAME":"M35832","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002436","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002436","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Occipital meningocele","DESCRIPTION_FULL":"A herniation of meninges through a congenital bone defect in the skull in the occipital region. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CEREBELLAR_MALFORMATION","SYSTEMATIC_NAME":"M35833","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002438","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002438","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cerebellar malformation"}
{"STANDARD_NAME":"HP_DYSCALCULIA","SYSTEMATIC_NAME":"M35834","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002442","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002442","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Dyscalculia","DESCRIPTION_FULL":"A specific learning disability involving mathematics and arithmetic. [DDD:probinson]"}
{"STANDARD_NAME":"HP_HYPOTHALAMIC_HAMARTOMA","SYSTEMATIC_NAME":"M35835","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002444","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002444","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypothalamic hamartoma","DESCRIPTION_FULL":"The presence of a hamartoma of the hypothalamus. [HPO:curators]"}
{"STANDARD_NAME":"HP_TETRAPLEGIA","SYSTEMATIC_NAME":"M35836","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002445","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002445","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Tetraplegia","DESCRIPTION_FULL":"Paralysis of all four limbs, and trunk of the body below the level of an associated injury to the spinal cord. The etiology of quadriplegia is similar to that of paraplegia except that the lesion is in the cervical spinal cord rather than in the thoracic or lumbar segments of the spinal cord. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ASTROCYTOSIS","SYSTEMATIC_NAME":"M35837","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002446","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002446","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Astrocytosis","DESCRIPTION_FULL":"Proliferation of astrocytes in the area of a lesion of the central nervous system. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PROGRESSIVE_ENCEPHALOPATHY","SYSTEMATIC_NAME":"M35838","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002448","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002448","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Progressive encephalopathy"}
{"STANDARD_NAME":"HP_LIMB_DYSTONIA","SYSTEMATIC_NAME":"M35839","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002451","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002451","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Limb dystonia","DESCRIPTION_FULL":"A type of dystonia (abnormally increased muscular tone causing fixed abnormal postures) that affects muscles of the limbs. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_GLOBUS_PALLIDUS_MORPHOLOGY","SYSTEMATIC_NAME":"M35840","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002453","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002453","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal globus pallidus morphology","DESCRIPTION_FULL":"An abnormality of the globus pallidus. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_HEAD_MOVEMENTS","SYSTEMATIC_NAME":"M35841","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002457","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002457","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal head movements"}
{"STANDARD_NAME":"HP_DISTAL_MUSCLE_WEAKNESS","SYSTEMATIC_NAME":"M35842","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002460","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002460","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Distal muscle weakness","DESCRIPTION_FULL":"Reduced strength of the musculature of the distal extremities. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DENSE_CALCIFICATIONS_IN_THE_CEREBELLAR_DENTATE_NUCLEUS","SYSTEMATIC_NAME":"M41259","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002461","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002461","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Dense calcifications in the cerebellar dentate nucleus"}
{"STANDARD_NAME":"HP_LANGUAGE_IMPAIRMENT","SYSTEMATIC_NAME":"M35843","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002463","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002463","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Language impairment","DESCRIPTION_FULL":"Language impairment is a deficit in comprehension or production of language that includes reduced vocabulary, limited sentence structure or impairments in written or spoken communication. Language abilities are substantially and quantifiably below age expectations. [ISBN:9780890425558]"}
{"STANDARD_NAME":"HP_SPASTIC_DYSARTHRIA","SYSTEMATIC_NAME":"M35844","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002464","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002464","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Spastic dysarthria","DESCRIPTION_FULL":"A type of dysarthria related to bilateral damage of the upper motor neuron tracts of the pyramidal and extra- pyramidal tracts. Speech of affected individuals is slow, effortful, and has a harsh vocal quality. [HPO:probinson]"}
{"STANDARD_NAME":"HP_POOR_SPEECH","SYSTEMATIC_NAME":"M35845","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002465","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002465","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Poor speech"}
{"STANDARD_NAME":"HP_NONPROGRESSIVE_CEREBELLAR_ATAXIA","SYSTEMATIC_NAME":"M35846","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002470","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002470","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Nonprogressive cerebellar ataxia"}
{"STANDARD_NAME":"HP_SMALL_CEREBRAL_CORTEX","SYSTEMATIC_NAME":"M35847","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002472","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002472","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Small cerebral cortex","DESCRIPTION_FULL":"Reduced size of the cerebral cortex. [HPO:probinson]"}
{"STANDARD_NAME":"HP_EXPRESSIVE_LANGUAGE_DELAY","SYSTEMATIC_NAME":"M35848","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002474","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002474","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Expressive language delay","DESCRIPTION_FULL":"A delay in the acquisition of the ability to use language to communicate needs, wishes, or thoughts. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MYELOMENINGOCELE","SYSTEMATIC_NAME":"M35849","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002475","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002475","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Myelomeningocele","DESCRIPTION_FULL":"Protrusion of the meninges and portions of the spinal cord through a defect of the vertebral column. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PRIMITIVE_REFLEX","SYSTEMATIC_NAME":"M35850","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002476","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002476","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Primitive reflex","DESCRIPTION_FULL":"The primitive reflexes are a group of behavioural motor responses which are found in normal early development, are subsequently inhibited, but may be released from inhibition by cerebral, usually frontal, damage. They are thus part of a broader group of reflexes which reflect release phenomena, such as exaggerated stretch reflexes and extensor plantars. They do however involve more complex motor responses than such simple stretch reflexes, and are often a normal feature in the neonate or infant. [PMID:12700289]"}
{"STANDARD_NAME":"HP_PROGRESSIVE_SPASTIC_QUADRIPLEGIA","SYSTEMATIC_NAME":"M35851","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002478","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002478","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Progressive spastic quadriplegia"}
{"STANDARD_NAME":"HP_HEPATIC_ENCEPHALOPATHY","SYSTEMATIC_NAME":"M35852","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002480","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002480","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hepatic encephalopathy","DESCRIPTION_FULL":"Central nervous system dysfunction in association with liver failure and characterized clinically (depending on degree of severity) by lethargy, confusion, nystagmus, decorticate posturing, spasticity, and bilateral Babinski reflexes. [HPO:probinson]"}
{"STANDARD_NAME":"HP_BULBAR_SIGNS","SYSTEMATIC_NAME":"M35853","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002483","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002483","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Bulbar signs"}
{"STANDARD_NAME":"HP_MYOTONIA","SYSTEMATIC_NAME":"M35854","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002486","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002486","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Myotonia","DESCRIPTION_FULL":"An involuntary and painless delay in the relaxation of skeletal muscle following contraction or electrical stimulation. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPERKINETIC_MOVEMENTS","SYSTEMATIC_NAME":"M35855","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002487","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002487","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hyperkinetic movements","DESCRIPTION_FULL":"Motor hyperactivity with excessive movement of muscles of the body as a whole. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ACUTE_LEUKEMIA","SYSTEMATIC_NAME":"M35856","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002488","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002488","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Acute leukemia","DESCRIPTION_FULL":"A clonal (malignant) hematopoietic disorder with an acute onset, affecting the bone marrow and the peripheral blood. The malignant cells show minimal differentiation and are called blasts, either myeloid blasts (myeloblasts) or lymphoid blasts (lymphoblasts). [NCIT:C9300]"}
{"STANDARD_NAME":"HP_INCREASED_CSF_LACTATE","SYSTEMATIC_NAME":"M35857","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002490","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002490","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased CSF lactate","DESCRIPTION_FULL":"Increased concentration of lactate in the cerebrospinal fluid. [HPO:curators]"}
{"STANDARD_NAME":"HP_MORPHOLOGICAL_ABNORMALITY_OF_THE_CORTICOSPINAL_TRACT","SYSTEMATIC_NAME":"M35858","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002492","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002492","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Morphological abnormality of the corticospinal tract","DESCRIPTION_FULL":"Abnormality of the corticospinal tract, which is the chief element of the pyramidal system (the principle motor tract) and is the only direct connection between the cerebrum and the spinal cord. [HPO:probinson]"}
{"STANDARD_NAME":"HP_UPPER_MOTOR_NEURON_DYSFUNCTION","SYSTEMATIC_NAME":"M35859","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002493","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002493","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Upper motor neuron dysfunction","DESCRIPTION_FULL":"A functional anomaly of the upper motor neuron. The upper motor neurons are neurons of the primary motor cortex which project to the brainstem and spinal chord via the corticonuclear, corticobulbar and corticospinal (pyramidal) tracts. They are involved in control of voluntary movements. Dysfunction leads to weakness, impairment of fine motor movements, spasticity, hyperreflexia and abnormal pyramidal signs. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_RAPID_EYE_MOVEMENT_SLEEP","SYSTEMATIC_NAME":"M35860","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002494","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002494","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal rapid eye movement sleep","DESCRIPTION_FULL":"Abnormality of REM sleep. Phases of REM sleep are characterized by desynchronized EEG patterns, increases in heart rate and blood pressure, sympathetic activation, and a profound loss of muscle tonus except for the eye and middle-ear muscles. There are then phases of rapid eye movements. [HPO:curators]"}
{"STANDARD_NAME":"HP_IMPAIRED_VIBRATORY_SENSATION","SYSTEMATIC_NAME":"M35861","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002495","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002495","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Impaired vibratory sensation","DESCRIPTION_FULL":"A decrease in the ability to perceive vibration. Clinically, this is usually tested with a tuning fork which vibrates at 128 Hz and is applied to bony prominences such as the malleoli at the ankles or the metacarpal-phalangeal joints. There is a slow decay of vibration from the tuning fork. The degree of vibratory sense loss can be crudely estimated by counting the number of seconds that the examiner can perceive the vibration longer than the patient. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SPASTIC_ATAXIA","SYSTEMATIC_NAME":"M35862","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002497","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002497","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Spastic ataxia"}
{"STANDARD_NAME":"HP_SPINOCEREBELLAR_TRACT_DEGENERATION","SYSTEMATIC_NAME":"M35863","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002503","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002503","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Spinocerebellar tract degeneration"}
{"STANDARD_NAME":"HP_PROGRESSIVE_INABILITY_TO_WALK","SYSTEMATIC_NAME":"M35864","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002505","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002505","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Progressive inability to walk"}
{"STANDARD_NAME":"HP_DIFFUSE_CEREBRAL_ATROPHY","SYSTEMATIC_NAME":"M35865","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002506","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002506","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Diffuse cerebral atrophy","DESCRIPTION_FULL":"Diffuse unlocalised atrophy affecting the cerebrum. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_SEMILOBAR_HOLOPROSENCEPHALY","SYSTEMATIC_NAME":"M41260","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002507","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002507","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Semilobar holoprosencephaly","DESCRIPTION_FULL":"A type of holoprosencephaly in which the left and right frontal and parietal lobes are fused and the interhemispheric fissure is only present posteriorly. [gc:hpe]"}
{"STANDARD_NAME":"HP_LIMB_HYPERTONIA","SYSTEMATIC_NAME":"M35866","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002509","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002509","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Limb hypertonia"}
{"STANDARD_NAME":"HP_SPASTIC_TETRAPLEGIA","SYSTEMATIC_NAME":"M35867","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002510","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002510","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Spastic tetraplegia","DESCRIPTION_FULL":"Spastic paralysis affecting all four limbs. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ALZHEIMER_DISEASE","SYSTEMATIC_NAME":"M35868","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002511","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002511","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Alzheimer disease","DESCRIPTION_FULL":"A degenerative disease of the brain characterized by the insidious onset of dementia. Impairment of memory, judgment, attention span, and problem solving skills are followed by severe apraxia and a global loss of cognitive abilities. The condition primarily occurs after age 60, and is marked pathologically by severe cortical atrophy and the triad of senile plaques, neurofibrillary tangles, and neuropil threads. [HPO:probinson]"}
{"STANDARD_NAME":"HP_BRAIN_STEM_COMPRESSION","SYSTEMATIC_NAME":"M35869","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002512","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002512","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Brain stem compression"}
{"STANDARD_NAME":"HP_CEREBRAL_CALCIFICATION","SYSTEMATIC_NAME":"M35870","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002514","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002514","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cerebral calcification","DESCRIPTION_FULL":"The presence of calcium deposition within brain structures. [HPO:probinson]"}
{"STANDARD_NAME":"HP_WADDLING_GAIT","SYSTEMATIC_NAME":"M35871","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002515","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002515","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Waddling gait","DESCRIPTION_FULL":"Weakness of the hip girdle and upper thigh muscles, for instance in myopathies, leads to an instability of the pelvis on standing and walking. If the muscles extending the hip joint are affected, the posture in that joint becomes flexed and lumbar lordosis increases. The patients usually have difficulties standing up from a sitting position. Due to weakness in the gluteus medius muscle, the hip on the side of the swinging leg drops with each step (referred to as Trendelenburg sign). The gait appears waddling. The patients frequently attempt to counteract the dropping of the hip on the swinging side by bending the trunk towards the side which is in the stance phase (in the German language literature this is referred to as Duchenne sign). Similar gait patterns can be caused by orthopedic conditions when the origin and the insertion site of the gluteus medius muscle are closer to each other than normal, for instance due to a posttraumatic elevation of the trochanter or pseudarthrosis of the femoral neck. [PMID:27770207]"}
{"STANDARD_NAME":"HP_INCREASED_INTRACRANIAL_PRESSURE","SYSTEMATIC_NAME":"M35872","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002516","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002516","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased intracranial pressure","DESCRIPTION_FULL":"An increase of the pressure inside the cranium (skull) and thereby in the brain tissue and cerebrospinal fluid. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_PERIVENTRICULAR_WHITE_MATTER","SYSTEMATIC_NAME":"M35873","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002518","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002518","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the periventricular white matter"}
{"STANDARD_NAME":"HP_HYPSARRHYTHMIA","SYSTEMATIC_NAME":"M35874","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002521","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002521","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypsarrhythmia","DESCRIPTION_FULL":"Hypsarrhythmia is abnormal interictal high amplitude waves and a background of irregular spikes. There is continuous (during wakefulness), high-amplitude (>200 Hz), generalized polymorphic slowing with no organized background and multifocal spikes demonstrated by electroencephalography (EEG). [HPO:curators]"}
{"STANDARD_NAME":"HP_AREFLEXIA_OF_LOWER_LIMBS","SYSTEMATIC_NAME":"M35875","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002522","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002522","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Areflexia of lower limbs","DESCRIPTION_FULL":"Inability to elicit tendon reflexes in the lower limbs. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CATAPLEXY","SYSTEMATIC_NAME":"M35876","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002524","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002524","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cataplexy","DESCRIPTION_FULL":"A sudden and transient episode of bilateral loss of muscle tone, often triggered by emotions. [HPO:probinson, PMID:21931493, PMID:22249574]"}
{"STANDARD_NAME":"HP_FALLS","SYSTEMATIC_NAME":"M35877","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002527","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002527","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Falls"}
{"STANDARD_NAME":"HP_NEURONAL_LOSS_IN_CENTRAL_NERVOUS_SYSTEM","SYSTEMATIC_NAME":"M35878","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002529","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002529","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neuronal loss in central nervous system"}
{"STANDARD_NAME":"HP_AXIAL_DYSTONIA","SYSTEMATIC_NAME":"M35879","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002530","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002530","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Axial dystonia","DESCRIPTION_FULL":"A type of dystonia that affects the midline muscles, i.e., the chest, abdominal, and back muscles. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_POSTURING","SYSTEMATIC_NAME":"M35880","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002533","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002533","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal posturing","DESCRIPTION_FULL":"Involuntary flexion or extension of the arms and legs. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_CEREBRAL_CORTEX","SYSTEMATIC_NAME":"M35881","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002538","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002538","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the cerebral cortex","DESCRIPTION_FULL":"An abnormality of the cerebral cortex. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CORTICAL_DYSPLASIA","SYSTEMATIC_NAME":"M35882","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002539","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002539","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cortical dysplasia","DESCRIPTION_FULL":"The presence of developmental dysplasia of the cerebral cortex. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INABILITY_TO_WALK","SYSTEMATIC_NAME":"M35883","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002540","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002540","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Inability to walk","DESCRIPTION_FULL":"Incapability to ambulate. [HPO:probinson]"}
{"STANDARD_NAME":"HP_OLIVOPONTOCEREBELLAR_ATROPHY","SYSTEMATIC_NAME":"M35884","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002542","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002542","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Olivopontocerebellar atrophy","DESCRIPTION_FULL":"Neuronal degeneration in the cerebellum, pontine nuclei, and inferior olivary nucleus. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RETROCOLLIS","SYSTEMATIC_NAME":"M41261","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002544","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002544","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Retrocollis","DESCRIPTION_FULL":"A form of torticollis in which the head is drawn back, either due to a permanent contractures of neck extensor muscles, or to a spasmodic contracture. [HPO:probinson, PMID:17917462]"}
{"STANDARD_NAME":"HP_INCOMPREHENSIBLE_SPEECH","SYSTEMATIC_NAME":"M35885","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002546","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002546","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Incomprehensible speech"}
{"STANDARD_NAME":"HP_PARKINSONISM_WITH_FAVORABLE_RESPONSE_TO_DOPAMINERGIC_MEDICATION","SYSTEMATIC_NAME":"M35886","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002548","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002548","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Parkinsonism with favorable response to dopaminergic medication","DESCRIPTION_FULL":"Parkinsonism is a clinical syndrome that is a feature of a number of different diseases, including Parkinson disease itself, other neurodegenerative diseases such as progressive supranuclear palsy, and as a side-effect of some neuroleptic medications. Some but not all individuals with Parkinsonism show responsiveness to dopaminergic medication defined as a substantial reduction of amelioration of the component signs of Parkinsonism (including mainly tremor, bradykinesia, rigidity, and postural instability) upon administration of dopaminergic medication. []"}
{"STANDARD_NAME":"HP_DEFICIT_IN_PHONOLOGIC_SHORT_TERM_MEMORY","SYSTEMATIC_NAME":"M35887","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002549","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002549","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Deficit in phonologic short-term memory"}
{"STANDARD_NAME":"HP_ABSENT_FACIAL_HAIR","SYSTEMATIC_NAME":"M35888","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002550","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002550","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Absent facial hair","DESCRIPTION_FULL":"Absence of facial hair. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HIGHLY_ARCHED_EYEBROW","SYSTEMATIC_NAME":"M35889","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002553","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002553","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Highly arched eyebrow","DESCRIPTION_FULL":"Increased height of the central portion of the eyebrow, forming a crescent, semicircular, or inverted U shape. [PMID:19125427]"}
{"STANDARD_NAME":"HP_ABSENT_PUBIC_HAIR","SYSTEMATIC_NAME":"M35890","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002555","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002555","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Absent pubic hair","DESCRIPTION_FULL":"Absence of pubic hair. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPOPLASTIC_NIPPLES","SYSTEMATIC_NAME":"M35891","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002557","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002557","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypoplastic nipples","DESCRIPTION_FULL":"Underdevelopment of the nipple. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SUPERNUMERARY_NIPPLE","SYSTEMATIC_NAME":"M35892","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002558","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002558","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Supernumerary nipple","DESCRIPTION_FULL":"Presence of more than two nipples. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABSENT_NIPPLE","SYSTEMATIC_NAME":"M35893","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002561","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002561","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Absent nipple","DESCRIPTION_FULL":"Congenital failure to develop, and absence of, the nipple. []"}
{"STANDARD_NAME":"HP_LOW_SET_NIPPLES","SYSTEMATIC_NAME":"M41262","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002562","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002562","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Low-set nipples","DESCRIPTION_FULL":"Placement of the nipples at a lower than normal location. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INTESTINAL_MALROTATION","SYSTEMATIC_NAME":"M35894","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002566","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002566","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Intestinal malrotation","DESCRIPTION_FULL":"An abnormality of the intestinal rotation and fixation that normally occurs during the development of the gut. This can lead to volvulus, or twisting of the intestine that causes obstruction and necrosis. [HPO:probinson, PMID:12438031]"}
{"STANDARD_NAME":"HP_STEATORRHEA","SYSTEMATIC_NAME":"M41263","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002570","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002570","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Steatorrhea","DESCRIPTION_FULL":"Greater than normal amounts of fat in the feces. This is a result of malabsorption of lipids in the small intestine and results in frothy foul-smelling fecal matter that floats. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ACHALASIA","SYSTEMATIC_NAME":"M35895","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002571","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002571","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Achalasia","DESCRIPTION_FULL":"A disorder of esophageal motility characterized by the inability of the lower esophageal sphincter to relax during swallowing and by inadequate or lacking peristalsis in the lower half of the body of the esophagus. [HPO:probinson]"}
{"STANDARD_NAME":"HP_EPISODIC_VOMITING","SYSTEMATIC_NAME":"M35896","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002572","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002572","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Episodic vomiting","DESCRIPTION_FULL":"Paroxysmal, recurrent episodes of vomiting. [HPO:curators]"}
{"STANDARD_NAME":"HP_HEMATOCHEZIA","SYSTEMATIC_NAME":"M35897","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002573","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002573","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hematochezia","DESCRIPTION_FULL":"The passage of fresh (red) blood per anus, usually in or with stools. Most rectal bleeding comes from the colon, rectum, or anus. [DDD:hfirth]"}
{"STANDARD_NAME":"HP_EPISODIC_ABDOMINAL_PAIN","SYSTEMATIC_NAME":"M35898","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002574","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002574","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Episodic abdominal pain","DESCRIPTION_FULL":"An intermittent form of abdominal pain. [HPO:probinson]"}
{"STANDARD_NAME":"HP_TRACHEOESOPHAGEAL_FISTULA","SYSTEMATIC_NAME":"M35899","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002575","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002575","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Tracheoesophageal fistula","DESCRIPTION_FULL":"An abnormal connection (fistula) between the esophagus and the trachea. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INTUSSUSCEPTION","SYSTEMATIC_NAME":"M35900","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002576","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002576","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Intussusception","DESCRIPTION_FULL":"An abnormality of the intestine in which part of the intestine invaginates (telescopes) into another part of the intestine. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_STOMACH_MORPHOLOGY","SYSTEMATIC_NAME":"M35901","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002577","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002577","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal stomach morphology","DESCRIPTION_FULL":"An abnormality of the stomach. [HPO:probinson]"}
{"STANDARD_NAME":"HP_GASTROPARESIS","SYSTEMATIC_NAME":"M35902","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002578","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002578","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Gastroparesis","DESCRIPTION_FULL":"Decreased strength of the muscle layer of stomach, which leads to a decreased ability to empty the contents of the stomach despite the absence of obstruction. [HPO:probinson]"}
{"STANDARD_NAME":"HP_GASTROINTESTINAL_DYSMOTILITY","SYSTEMATIC_NAME":"M35903","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002579","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002579","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Gastrointestinal dysmotility","DESCRIPTION_FULL":"Abnormal intestinal contractions, such as spasms and intestinal paralysis, related to the loss of the ability of the gut to coordinate muscular activity because of endogenous or exogenous causes. [HPO:probinson]"}
{"STANDARD_NAME":"HP_VOLVULUS","SYSTEMATIC_NAME":"M35904","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002580","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002580","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Volvulus","DESCRIPTION_FULL":"Abnormal twisting of a portion of intestine around itself or around a stalk of mesentery tissue. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CHRONIC_ATROPHIC_GASTRITIS","SYSTEMATIC_NAME":"M35905","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002582","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002582","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Chronic atrophic gastritis","DESCRIPTION_FULL":"A form of chronic gastritis associated with atrophic gastric mucous membrane. [HPO:probinson]"}
{"STANDARD_NAME":"HP_COLITIS","SYSTEMATIC_NAME":"M35906","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002583","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002583","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Colitis","DESCRIPTION_FULL":"Colitis refers to an inflammation of the colon and is often used to describe an inflammation of the large intestine (colon, cecum and rectum). Colitides may be acute and self-limited or chronic, and broadly fit into the category of digestive diseases. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_INTESTINAL_BLEEDING","SYSTEMATIC_NAME":"M35907","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002584","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002584","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Intestinal bleeding","DESCRIPTION_FULL":"Bleeding from the intestines. [DDD:akelly]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_PERITONEUM","SYSTEMATIC_NAME":"M35908","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002585","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002585","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the peritoneum","DESCRIPTION_FULL":"An abnormality of the peritoneum. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PERITONITIS","SYSTEMATIC_NAME":"M35909","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002586","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002586","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Peritonitis","DESCRIPTION_FULL":"Inflammation of the peritoneum. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DUODENAL_ULCER","SYSTEMATIC_NAME":"M41264","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002588","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002588","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Duodenal ulcer","DESCRIPTION_FULL":"An erosion of the mucous membrane in a portion of the duodenum. [HPO:probinson]"}
{"STANDARD_NAME":"HP_GASTROINTESTINAL_ATRESIA","SYSTEMATIC_NAME":"M35910","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002589","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002589","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Gastrointestinal atresia"}
{"STANDARD_NAME":"HP_POLYPHAGIA","SYSTEMATIC_NAME":"M35911","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002591","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002591","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Polyphagia","DESCRIPTION_FULL":"A neurological anomaly with gross overeating associated with an abnormally strong desire or need to eat. [HPO:probinson]"}
{"STANDARD_NAME":"HP_GASTRIC_ULCER","SYSTEMATIC_NAME":"M35912","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002592","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002592","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Gastric ulcer","DESCRIPTION_FULL":"An ulcer, that is, an erosion of an area of the gastric mucous membrane. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PANCREATIC_HYPOPLASIA","SYSTEMATIC_NAME":"M41265","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002594","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002594","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pancreatic hypoplasia","DESCRIPTION_FULL":"Hypoplasia of the pancreas. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ILEUS","SYSTEMATIC_NAME":"M35913","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002595","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002595","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ileus","DESCRIPTION_FULL":"Acute obstruction of the intestines preventing passage of the contents of the intestines. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_HEAD_TITUBATION","SYSTEMATIC_NAME":"M35914","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002599","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002599","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Head titubation","DESCRIPTION_FULL":"A head tremor of moderate speed (3 to 4 Hz) in the anterior-posterior direction. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPOREFLEXIA_OF_LOWER_LIMBS","SYSTEMATIC_NAME":"M35915","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002600","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002600","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hyporeflexia of lower limbs","DESCRIPTION_FULL":"Reduced intensity of muscle tendon reflexes in the lower limbs. Reflexes are elicited by stretching the tendon of a muscle, e.g., by tapping. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HEPATIC_NECROSIS","SYSTEMATIC_NAME":"M35916","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002605","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002605","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hepatic necrosis","DESCRIPTION_FULL":"The presence of cell death (necrosis) affecting the liver. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CELIAC_DISEASE","SYSTEMATIC_NAME":"M35917","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002608","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002608","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Celiac disease","DESCRIPTION_FULL":"Celiac disease (CD) is an autoimmune condition affecting the small intestine, triggered by the ingestion of gluten, the protein fraction of wheat, barley, and rye. Clinical manifestations of CD are highly variable and include both gastrointestinal and non-gastrointestinal features. The hallmark of CD is an immune-mediated enteropathy. This term is included because the occurence of CD is seen as a feature of a number of other diseases. [HPO:probinson, PMID:23681421]"}
{"STANDARD_NAME":"HP_CHOLESTATIC_LIVER_DISEASE","SYSTEMATIC_NAME":"M35918","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002611","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002611","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cholestatic liver disease"}
{"STANDARD_NAME":"HP_CONGENITAL_HEPATIC_FIBROSIS","SYSTEMATIC_NAME":"M35919","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002612","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002612","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Congenital hepatic fibrosis","DESCRIPTION_FULL":"The presence of fibrosis of that part of the liver with congenital onset. [HPO:probinson]"}
{"STANDARD_NAME":"HP_BILIARY_CIRRHOSIS","SYSTEMATIC_NAME":"M35920","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002613","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002613","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Biliary cirrhosis","DESCRIPTION_FULL":"Progressive destruction of the small-to-medium bile ducts of the intrahepatic biliary tree, which leads to progressive cholestasis and often end-stage liver disease. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPOTENSION","SYSTEMATIC_NAME":"M35921","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002615","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002615","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypotension","DESCRIPTION_FULL":"Low Blood Pressure, vascular hypotension. [HPO:probinson]"}
{"STANDARD_NAME":"HP_AORTIC_ROOT_ANEURYSM","SYSTEMATIC_NAME":"M35922","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002616","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002616","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aortic root aneurysm","DESCRIPTION_FULL":"An abnormal localized widening (dilatation) of the aortic root. []"}
{"STANDARD_NAME":"HP_VASCULAR_DILATATION","SYSTEMATIC_NAME":"M35923","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002617","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002617","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Vascular dilatation","DESCRIPTION_FULL":"Abnormal outpouching or sac-like dilatation in the wall of an atery, vein or the heart. [HPO:probinson, PMID:30225143]"}
{"STANDARD_NAME":"HP_VARICOSE_VEINS","SYSTEMATIC_NAME":"M35924","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002619","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002619","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Varicose veins","DESCRIPTION_FULL":"Enlarged and tortuous veins. [HPO:probinson]"}
{"STANDARD_NAME":"HP_OVERRIDING_AORTA","SYSTEMATIC_NAME":"M35925","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002623","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002623","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Overriding aorta","DESCRIPTION_FULL":"An overriding aorta is a congenital heart defect where the aorta is positioned directly over a ventricular septal defect, instead of over the left ventricle. The result is that the aorta receives some blood from the right ventricle, which reduces the amount of oxygen in the blood. It is one of the four conditions of the Tetralogy of Fallot. The aortic root can be displaced toward the front (anteriorly) or directly above the septal defect, but it is always abnormally located to the right of the root of the pulmonary artery. The degree of override is quite variable, with 5-95% of the valve being connected to the right ventricle. [HPO:curators]"}
{"STANDARD_NAME":"HP_ABNORMAL_VENOUS_MORPHOLOGY","SYSTEMATIC_NAME":"M35926","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002624","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002624","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal venous morphology","DESCRIPTION_FULL":"An anomaly of vein. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DEEP_VENOUS_THROMBOSIS","SYSTEMATIC_NAME":"M35927","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002625","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002625","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Deep venous thrombosis","DESCRIPTION_FULL":"Formation of a blot clot in a deep vein. The clot often blocks blood flow, causing swelling and pain. The deep veins of the leg are most often affected. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RIGHT_AORTIC_ARCH_WITH_MIRROR_IMAGE_BRANCHING","SYSTEMATIC_NAME":"M35928","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002627","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002627","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Right aortic arch with mirror image branching","DESCRIPTION_FULL":"The aortic arch crosses the right mainstem bronchus and not the left mainstem bronchus, but does not result in the creation of a vascular ring. The first branch is the left brachiocephalic artery which divides into the left carotid artery and left subclavian artery, the second branch is the right carotid artery, the third branch is the right subclavian artery. [DDD:dbrown, HPO:sdoelken]"}
{"STANDARD_NAME":"HP_FAT_MALABSORPTION","SYSTEMATIC_NAME":"M35929","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002630","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002630","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Fat malabsorption","DESCRIPTION_FULL":"Abnormality of the absorption of fat from the gastrointestinal tract. [HPO:probinson]"}
{"STANDARD_NAME":"HP_VASCULITIS","SYSTEMATIC_NAME":"M35930","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002633","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002633","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Vasculitis","DESCRIPTION_FULL":"Inflammation of blood vessel. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ARTERIOSCLEROSIS","SYSTEMATIC_NAME":"M35931","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002634","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002634","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Arteriosclerosis","DESCRIPTION_FULL":"Sclerosis (hardening) of the arteries with increased thickness of the wall of arteries as well as increased stiffness and a loss of elasticity. [HPO:probinson]"}
{"STANDARD_NAME":"HP_BUDD_CHIARI_SYNDROME","SYSTEMATIC_NAME":"M35933","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002639","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002639","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Budd-Chiari syndrome","DESCRIPTION_FULL":"Budd-Chiari syndrome (BCS) is caused by obstruction of hepatic venous outflow at any level from the small hepatic veins to the junction of the inferior vena cava (IVC) with the right atrium, 1 and occurs in 1/100,000 of the general population worldwide. The most common presentation is with ascites, but can range from fulminant hepatic failure (FHF) to asymptomatic forms. Obstruction of hepatic venous outflow is mainly caused by primary intravascular thrombosis, which can occur suddenly or be repeated over time, accompanied by some revascularization, accounting for the variable parenchymal hepatic damage and histologic presentation. Budd-Chiari syndrome is thus a disease, but since it occurs as a manifestation of several other diseases, this term is kept for the present for convenience. [HPO:probinson, PMID:16265183]"}
{"STANDARD_NAME":"HP_HYPERTENSION_ASSOCIATED_WITH_PHEOCHROMOCYTOMA","SYSTEMATIC_NAME":"M35934","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002640","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002640","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypertension associated with pheochromocytoma","DESCRIPTION_FULL":"A type of hypertension associated with pheochromocytoma. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NEONATAL_RESPIRATORY_DISTRESS","SYSTEMATIC_NAME":"M35935","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002643","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002643","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neonatal respiratory distress","DESCRIPTION_FULL":"Respiratory difficulty as newborn. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_PELVIC_GIRDLE_BONE_MORPHOLOGY","SYSTEMATIC_NAME":"M35936","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002644","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002644","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of pelvic girdle bone morphology","DESCRIPTION_FULL":"An abnormality of the bony pelvic girdle, which is a ring of bones connecting the vertebral column to the femurs. [HPO:probinson]"}
{"STANDARD_NAME":"HP_WORMIAN_BONES","SYSTEMATIC_NAME":"M35937","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002645","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002645","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Wormian bones","DESCRIPTION_FULL":"The presence of extra bones within a cranial suture. Wormian bones are irregular isolated bones which appear in addition to the usual centers of ossification of the cranium. [HPO:probinson]"}
{"STANDARD_NAME":"HP_AORTIC_DISSECTION","SYSTEMATIC_NAME":"M35938","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002647","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002647","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aortic dissection","DESCRIPTION_FULL":"Aortic dissection refers to a tear in the intimal layer of the aorta causing a separation between the intima and the medial layers of the aorta. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SPONDYLOEPIMETAPHYSEAL_DYSPLASIA","SYSTEMATIC_NAME":"M35939","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002651","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002651","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Spondyloepimetaphyseal dysplasia"}
{"STANDARD_NAME":"HP_SKELETAL_DYSPLASIA","SYSTEMATIC_NAME":"M35940","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002652","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002652","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Skeletal dysplasia","DESCRIPTION_FULL":"A general term describing features characterized by abnormal development of bones and connective tissues. [HPO:probinson]"}
{"STANDARD_NAME":"HP_BONE_PAIN","SYSTEMATIC_NAME":"M35941","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002653","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002653","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Bone pain","DESCRIPTION_FULL":"An unpleasant sensation characterized by physical discomfort (such as pricking, throbbing, or aching) localized to bone. []"}
{"STANDARD_NAME":"HP_MULTIPLE_EPIPHYSEAL_DYSPLASIA","SYSTEMATIC_NAME":"M35942","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002654","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002654","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Multiple epiphyseal dysplasia"}
{"STANDARD_NAME":"HP_SPONDYLOEPIPHYSEAL_DYSPLASIA","SYSTEMATIC_NAME":"M35943","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002655","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002655","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Spondyloepiphyseal dysplasia","DESCRIPTION_FULL":"A disorder of bone growth affecting the vertebrae and the ends of the long bones (epiphyses). [HPO:probinson]"}
{"STANDARD_NAME":"HP_EPIPHYSEAL_DYSPLASIA","SYSTEMATIC_NAME":"M35944","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002656","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002656","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Epiphyseal dysplasia"}
{"STANDARD_NAME":"HP_SPONDYLOMETAPHYSEAL_DYSPLASIA","SYSTEMATIC_NAME":"M35945","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002657","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002657","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Spondylometaphyseal dysplasia"}
{"STANDARD_NAME":"HP_INCREASED_SUSCEPTIBILITY_TO_FRACTURES","SYSTEMATIC_NAME":"M35946","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002659","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002659","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased susceptibility to fractures","DESCRIPTION_FULL":"An abnormally increased tendency to fractures of bones caused by an abnormal reduction in bone strength that is generally associated with an increased risk of fracture. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_PAINLESS_FRACTURES_DUE_TO_INJURY","SYSTEMATIC_NAME":"M35947","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002661","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002661","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Painless fractures due to injury","DESCRIPTION_FULL":"An increased tendency to fractures following trauma, with fractures occurring without pain. [HPO:curators]"}
{"STANDARD_NAME":"HP_DELAYED_EPIPHYSEAL_OSSIFICATION","SYSTEMATIC_NAME":"M35948","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002663","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002663","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Delayed epiphyseal ossification"}
{"STANDARD_NAME":"HP_NEOPLASM","SYSTEMATIC_NAME":"M35949","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002664","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002664","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neoplasm","DESCRIPTION_FULL":"An organ or organ-system abnormality that consists of uncontrolled autonomous cell-proliferation which can occur in any part of the body as a benign or malignant neoplasm (tumour). [HPO:probinson]"}
{"STANDARD_NAME":"HP_LYMPHOMA","SYSTEMATIC_NAME":"M35950","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002665","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002665","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Lymphoma","DESCRIPTION_FULL":"A cancer originating in lymphocytes and presenting as a solid tumor of lymhpoid cells. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PHEOCHROMOCYTOMA","SYSTEMATIC_NAME":"M35951","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002666","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002666","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pheochromocytoma","DESCRIPTION_FULL":"Pheochromocytomas (also known as chromaffin tumors) produce, store, and secrete catecholamines. Pheochromocytomas usually originate from the adrenal medulla but may also develop from chromaffin cells in or about sympathetic ganglia. A common symptom of pheochromocytoma is hypertension owing to release of catecholamines. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PARAGANGLIOMA","SYSTEMATIC_NAME":"M35952","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002668","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002668","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Paraganglioma","DESCRIPTION_FULL":"A carotid body tumor (also called paraganglionoma or chemodectoma) is a tumor found in the upper neck at the branching of the carotid artery. They arise from the chemoreceptor organ (paraganglion) located in the adventitia of the carotid artery bifurcation. [HPO:probinson]"}
{"STANDARD_NAME":"HP_OSTEOSARCOMA","SYSTEMATIC_NAME":"M35953","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002669","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002669","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Osteosarcoma","DESCRIPTION_FULL":"A malignant bone tumor that usually develops during adolescence and usually affects the long bones including the tibia, femur, and humerus. The typical symptoms of osteosarcoma comprise bone pain, fracture, limitation of motion, and tenderness or swelling at the site of the tumor. [HPO:probinson]"}
{"STANDARD_NAME":"HP_BASAL_CELL_CARCINOMA","SYSTEMATIC_NAME":"M35954","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002671","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002671","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Basal cell carcinoma","DESCRIPTION_FULL":"The presence of a basal cell carcinoma of the skin. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_GASTROINTESTINAL_CARCINOMA","SYSTEMATIC_NAME":"M35955","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002672","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002672","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Gastrointestinal carcinoma"}
{"STANDARD_NAME":"HP_COXA_VALGA","SYSTEMATIC_NAME":"M35956","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002673","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002673","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Coxa valga","DESCRIPTION_FULL":"Coxa valga is a deformity of the hip in which the angle between the femoral shaft and the femoral neck is increased compared to age-adjusted values (about 150 degrees in newborns gradually reducing to 120-130 degrees in adults). [HPO:probinson]"}
{"STANDARD_NAME":"HP_CLOVERLEAF_SKULL","SYSTEMATIC_NAME":"M35957","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002676","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002676","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cloverleaf skull","DESCRIPTION_FULL":"Trilobar skull configuration when viewed from the front or behind. [PMID:19125436]"}
{"STANDARD_NAME":"HP_SKULL_ASYMMETRY","SYSTEMATIC_NAME":"M35958","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002678","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002678","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Skull asymmetry"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_SELLA_TURCICA","SYSTEMATIC_NAME":"M35959","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002679","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002679","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the sella turcica","DESCRIPTION_FULL":"Abnormality of the sella turcica, a saddle-shaped depression in the sphenoid bone at the base of the human skull. [HPO:probinson]"}
{"STANDARD_NAME":"HP_J_SHAPED_SELLA_TURCICA","SYSTEMATIC_NAME":"M35960","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002680","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002680","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"J-shaped sella turcica","DESCRIPTION_FULL":"A deformity of the sella turcica whereby the sella extends further anterior than normal such that the anterior clinoid process appears to overhang it, giving the appearance of the letter J on imaging of the skull. [HPO:pnrobinson]"}
{"STANDARD_NAME":"HP_DEFORMED_SELLA_TURCICA","SYSTEMATIC_NAME":"M35961","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002681","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002681","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Deformed sella turcica"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_CALVARIA","SYSTEMATIC_NAME":"M35962","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002683","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002683","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the calvaria","DESCRIPTION_FULL":"Abnormality of the calvaria, which is the roof of the skull formed by the frontal bone, parietal bones, and occipital bone. [HPO:probinson]"}
{"STANDARD_NAME":"HP_THICKENED_CALVARIA","SYSTEMATIC_NAME":"M35963","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002684","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002684","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Thickened calvaria","DESCRIPTION_FULL":"The presence of an abnormally thick calvaria. [HPO:curators]"}
{"STANDARD_NAME":"HP_PRENATAL_MATERNAL_ABNORMALITY","SYSTEMATIC_NAME":"M35964","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002686","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002686","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Prenatal maternal abnormality"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_FRONTAL_SINUS","SYSTEMATIC_NAME":"M35965","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002687","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002687","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of frontal sinus","DESCRIPTION_FULL":"An abnormality of the frontal sinus, one of the mucosa-lined, normally air-filled paranasal sinuses of the bones of the skull. The frontal sinus is located within the frontal bone. [ORCID:0000-0001-5889-4463]"}
{"STANDARD_NAME":"HP_ABSENT_FRONTAL_SINUSES","SYSTEMATIC_NAME":"M35966","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002688","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002688","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Absent frontal sinuses","DESCRIPTION_FULL":"Aplasia of frontal sinus. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PLATYBASIA","SYSTEMATIC_NAME":"M35967","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002691","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002691","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Platybasia","DESCRIPTION_FULL":"A developmental malformation of the occipital bone and upper end of the cervical spine, in which the latter appears to have pushed the floor of the occipital bone upward such that there is an abnormal flattening of the skull base. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPOPLASTIC_FACIAL_BONES","SYSTEMATIC_NAME":"M35968","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002692","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002692","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypoplastic facial bones"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_SKULL_BASE","SYSTEMATIC_NAME":"M35969","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002693","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002693","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the skull base","DESCRIPTION_FULL":"An abnormality of the base of the skull, which forms the floor of the cranial cavity and separates the brain from other facial structures. The skull base is made up of five bones: the ethmoid, sphenoid, occipital, paired frontal, and paired parietal bones, and is subdivided into 3 regions: the anterior, middle, and posterior cranial fossae. The petro-occipital fissure subdivides the middle cranial fossa into 1 central component and 2 lateral components. [HPO:curators]"}
{"STANDARD_NAME":"HP_SCLEROSIS_OF_SKULL_BASE","SYSTEMATIC_NAME":"M35970","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002694","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002694","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Sclerosis of skull base","DESCRIPTION_FULL":"Increased bone density of the skull base without significant changes in bony contour. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_PARIETAL_BONE_MORPHOLOGY","SYSTEMATIC_NAME":"M35971","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002696","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002696","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal parietal bone morphology","DESCRIPTION_FULL":"Any abnormality of the parietal bone of the skull. [HPO:curators]"}
{"STANDARD_NAME":"HP_PARIETAL_FORAMINA","SYSTEMATIC_NAME":"M35972","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002697","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002697","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Parietal foramina","DESCRIPTION_FULL":"The presence of symmetrical and circular openings (foramina) in the parietal bone ranging in size from a few millimeters to several centimeters wide. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_FORAMEN_MAGNUM","SYSTEMATIC_NAME":"M35973","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002699","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002699","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the foramen magnum","DESCRIPTION_FULL":"Any abnormality of the foramen magnum. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LARGE_FORAMEN_MAGNUM","SYSTEMATIC_NAME":"M35974","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002700","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002700","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Large foramen magnum","DESCRIPTION_FULL":"An abnormal increase in the size of the foramen magnum. [HPO:curators]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_SKULL_OSSIFICATION","SYSTEMATIC_NAME":"M35975","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002703","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002703","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of skull ossification","DESCRIPTION_FULL":"An abnormality of the process of ossification of the skull. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HIGH_NARROW_PALATE","SYSTEMATIC_NAME":"M35976","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002705","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002705","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"High, narrow palate","DESCRIPTION_FULL":"The presence of a high and narrow palate. [HPO:curators]"}
{"STANDARD_NAME":"HP_DOWNTURNED_CORNERS_OF_MOUTH","SYSTEMATIC_NAME":"M35977","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002714","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002714","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Downturned corners of mouth","DESCRIPTION_FULL":"A morphological abnormality of the mouth in which the angle of the mouth is downturned. The oral commissures are positioned inferior to the midline labial fissure. [HPO:probinson, PMID:19125428]"}
{"STANDARD_NAME":"HP_ADRENAL_OVERACTIVITY","SYSTEMATIC_NAME":"M35978","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002717","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002717","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Adrenal overactivity"}
{"STANDARD_NAME":"HP_RECURRENT_BACTERIAL_INFECTIONS","SYSTEMATIC_NAME":"M35979","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002718","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002718","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Recurrent bacterial infections","DESCRIPTION_FULL":"Increased susceptibility to bacterial infections, as manifested by recurrent episodes of bacterial infection. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DECREASED_CIRCULATING_IGA_LEVEL","SYSTEMATIC_NAME":"M35980","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002720","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002720","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased circulating IgA level","DESCRIPTION_FULL":"Decreased levels of immunoglobulin A (IgA). [HPO:probinson]"}
{"STANDARD_NAME":"HP_IMMUNODEFICIENCY","SYSTEMATIC_NAME":"M35981","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002721","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002721","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Immunodeficiency","DESCRIPTION_FULL":"Failure of the immune system to protect the body adequately from infection, due to the absence or insufficiency of some component process or substance. [PMID:20042227]"}
{"STANDARD_NAME":"HP_RECURRENT_ABSCESS_FORMATION","SYSTEMATIC_NAME":"M35982","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002722","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002722","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Recurrent abscess formation","DESCRIPTION_FULL":"An increased susceptibility to abscess formation, as manifested by a medical history of recurrent abscesses. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RECURRENT_ASPERGILLUS_INFECTIONS","SYSTEMATIC_NAME":"M35983","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002724","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002724","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Recurrent Aspergillus infections","DESCRIPTION_FULL":"An increased susceptibility to Aspergillus infections, as manifested by a history of recurrent episodes of Aspergillus infections. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SYSTEMIC_LUPUS_ERYTHEMATOSUS","SYSTEMATIC_NAME":"M35984","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002725","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002725","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Systemic lupus erythematosus","DESCRIPTION_FULL":"A chronic, relapsing, inflammatory, and often febrile multisystemic disorder of connective tissue, characterized principally by involvement of the skin, joints, kidneys, and serosal membranes. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RECURRENT_STAPHYLOCOCCUS_AUREUS_INFECTIONS","SYSTEMATIC_NAME":"M35985","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002726","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002726","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Recurrent Staphylococcus aureus infections","DESCRIPTION_FULL":"Increased susceptibility to Staphylococcus aureus infections, as manifested by recurrent episodes of Staphylococcus aureus infection. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CHRONIC_MUCOCUTANEOUS_CANDIDIASIS","SYSTEMATIC_NAME":"M35986","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002728","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002728","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Chronic mucocutaneous candidiasis","DESCRIPTION_FULL":"Recurrent or persistent superficial Candida infections of the skin, mucous membranes, and nails. [HPO:probinson, PMID:20859203]"}
{"STANDARD_NAME":"HP_FOLLICULAR_HYPERPLASIA","SYSTEMATIC_NAME":"M35987","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002729","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002729","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Follicular hyperplasia","DESCRIPTION_FULL":"Lymphadenopathy (enlargement of lymph nodes) owing to hyperplasia of follicular (germinal) centers. [HPO:probinson, PMID:23281438]"}
{"STANDARD_NAME":"HP_CHRONIC_NONINFECTIOUS_LYMPHADENOPATHY","SYSTEMATIC_NAME":"M35988","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002730","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002730","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Chronic noninfectious lymphadenopathy","DESCRIPTION_FULL":"A chronic form of lymphadenopathy that is not related to infection. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DECREASED_LYMPHOCYTE_APOPTOSIS","SYSTEMATIC_NAME":"M35989","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002731","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002731","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased lymphocyte apoptosis","DESCRIPTION_FULL":"A reduction in the rate of apoptosis in lymphocytes. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_LYMPH_NODES","SYSTEMATIC_NAME":"M35990","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002733","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002733","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the lymph nodes","DESCRIPTION_FULL":"A lymph node abnormality. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPOPLASTIC_FRONTAL_SINUSES","SYSTEMATIC_NAME":"M35991","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002738","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002738","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypoplastic frontal sinuses","DESCRIPTION_FULL":"Underdevelopment of frontal sinus. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RECURRENT_KLEBSIELLA_INFECTIONS","SYSTEMATIC_NAME":"M35992","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002742","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002742","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Recurrent Klebsiella infections","DESCRIPTION_FULL":"Increased susceptibility to Klebsiella infections, as manifested by recurrent episodes of Klebsiella infection. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RECURRENT_ENTEROVIRAL_INFECTIONS","SYSTEMATIC_NAME":"M35993","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002743","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002743","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Recurrent enteroviral infections","DESCRIPTION_FULL":"Increased susceptibility to enteroviral infections, as manifested by recurrent episodes of enteroviral infection. [HPO:probinson]"}
{"STANDARD_NAME":"HP_BILATERAL_CLEFT_LIP_AND_PALATE","SYSTEMATIC_NAME":"M35994","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002744","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002744","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Bilateral cleft lip and palate","DESCRIPTION_FULL":"Cleft lip and cleft palate affecting both sides of the face. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ORAL_LEUKOPLAKIA","SYSTEMATIC_NAME":"M35995","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002745","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002745","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Oral leukoplakia","DESCRIPTION_FULL":"A thickened white patch on the oral mucosa that cannot be rubbed off. [HPO:probinson, PMID:17944749]"}
{"STANDARD_NAME":"HP_RICKETS","SYSTEMATIC_NAME":"M35996","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002748","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002748","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Rickets","DESCRIPTION_FULL":"Rickets is divided into two major categories including calcipenic and phosphopenic. Hypophosphatemia is described as a common manifestation of both categories. Hypophosphatemic rickets is the most common type of rickets that is characterized by low levels of serum phosphate, resistance to ultraviolet radiation or vitamin D intake. There are several issues involved in hypophosphatemic rickets such as calcium, vitamin D, phosphorus deficiencies. Moreover, other disorder can be associated with its occurrence such as absorption defects due to pancreatic, intestinal, gastric, and renal disorders and hepatobiliary disease. Symptoms are usually seen in childhood and can be varied in severity. Severe forms may be linked to bowing of the legs, poor bone growth, and short stature as well as joint and bone pain. Hypophosphatemic rickets are associated with renal excretion of phosphate, hypophosphatemia, and mineral defects in bones. The familial type of the disease is the most common type of rickets. [GARD:0005700]"}
{"STANDARD_NAME":"HP_OSTEOMALACIA","SYSTEMATIC_NAME":"M35997","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002749","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002749","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Osteomalacia","DESCRIPTION_FULL":"Osteomalacia is a general term for bone weakness owing to a defect in mineralization of the protein framework known as osteoid. This defective mineralization is mainly caused by lack in vitamin D. Osteomalacia in children is known as rickets. [HPO:curators]"}
{"STANDARD_NAME":"HP_KYPHOSCOLIOSIS","SYSTEMATIC_NAME":"M35998","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002751","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002751","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Kyphoscoliosis","DESCRIPTION_FULL":"An abnormal curvature of the spine in both a coronal (lateral) and sagittal (back-to-front) plane. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SPARSE_BONE_TRABECULAE","SYSTEMATIC_NAME":"M35999","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002752","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002752","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Sparse bone trabeculae"}
{"STANDARD_NAME":"HP_THIN_BONY_CORTEX","SYSTEMATIC_NAME":"M36000","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002753","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002753","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Thin bony cortex","DESCRIPTION_FULL":"Abnormal thinning of the cortical region of bones. [HPO:curators]"}
{"STANDARD_NAME":"HP_OSTEOMYELITIS","SYSTEMATIC_NAME":"M36001","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002754","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002754","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Osteomyelitis","DESCRIPTION_FULL":"Osteomyelitis is an inflammatory process accompanied by bone destruction and caused by an infecting microorganism. [HPO:probinson, PMID:15276398]"}
{"STANDARD_NAME":"HP_PATHOLOGIC_FRACTURE","SYSTEMATIC_NAME":"M36002","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002756","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002756","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pathologic fracture","DESCRIPTION_FULL":"A pathologic fracture occurs when a bone breaks in an area that is weakened secondarily to another disease process such as tumor, infection, and certain inherited bone disorders. A pathologic fracture can occur without a degree of trauma required to cause fracture in healthy bone. [HPO:curators]"}
{"STANDARD_NAME":"HP_RECURRENT_FRACTURES","SYSTEMATIC_NAME":"M36003","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002757","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002757","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Recurrent fractures","DESCRIPTION_FULL":"The repeated occurrence of bone fractures (implying an abnormally increased tendency for fracture). [HPO:curators]"}
{"STANDARD_NAME":"HP_OSTEOARTHRITIS","SYSTEMATIC_NAME":"M36004","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002758","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002758","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Osteoarthritis","DESCRIPTION_FULL":"Degeneration (wear and tear) of articular cartilage, i.e., of the joint surface. Joint degeneration may be accompanied by osteophytes (bone overgrowth), narrowing of the joint space, regions of sclerosis at the joint surface, or joint deformity. []"}
{"STANDARD_NAME":"HP_GENERALIZED_JOINT_LAXITY","SYSTEMATIC_NAME":"M36005","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002761","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002761","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Generalized joint laxity","DESCRIPTION_FULL":"Joint hypermobility (ability of a joint to move beyond its normal range of motion) affecting many or all joints of the body. [HPO:curators]"}
{"STANDARD_NAME":"HP_MULTIPLE_EXOSTOSES","SYSTEMATIC_NAME":"M36006","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002762","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002762","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Multiple exostoses","DESCRIPTION_FULL":"Presence of more than one exostosis. An exostosis is a benign growth the projects outward from the bone surface. It is capped by cartilage, and arises from a bone that develops from cartilage. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_CARTILAGE_MORPHOLOGY","SYSTEMATIC_NAME":"M36007","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002763","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002763","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal cartilage morphology","DESCRIPTION_FULL":"Any morphological abnormality of cartilage. [HPO:probinson]"}
{"STANDARD_NAME":"HP_TRACHEAL_STENOSIS","SYSTEMATIC_NAME":"M36008","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002777","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002777","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Tracheal stenosis"}
{"STANDARD_NAME":"HP_ABNORMAL_TRACHEA_MORPHOLOGY","SYSTEMATIC_NAME":"M36009","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002778","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002778","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal trachea morphology","DESCRIPTION_FULL":"A structural anomaly of the trachea. [HPO:probinson]"}
{"STANDARD_NAME":"HP_TRACHEOMALACIA","SYSTEMATIC_NAME":"M36010","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002779","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002779","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Tracheomalacia"}
{"STANDARD_NAME":"HP_BRONCHOMALACIA","SYSTEMATIC_NAME":"M36011","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002780","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002780","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Bronchomalacia","DESCRIPTION_FULL":"Weakness or softness of the cartilage in the walls of the bronchial tubes. [PMID:15764786]"}
{"STANDARD_NAME":"HP_UPPER_AIRWAY_OBSTRUCTION","SYSTEMATIC_NAME":"M36012","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002781","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002781","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Upper airway obstruction","DESCRIPTION_FULL":"Increased resistance to the passage of air in the upper airway. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RECURRENT_LOWER_RESPIRATORY_TRACT_INFECTIONS","SYSTEMATIC_NAME":"M36013","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002783","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002783","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Recurrent lower respiratory tract infections","DESCRIPTION_FULL":"An increased susceptibility to lower respiratory tract infections as manifested by a history of recurrent lower respiratory tract infections. [HPO:probinson]"}
{"STANDARD_NAME":"HP_TRACHEOBRONCHOMALACIA","SYSTEMATIC_NAME":"M36014","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002786","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002786","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Tracheobronchomalacia","DESCRIPTION_FULL":"Weakness of the cartilage in the trachea and the bronchi, resulting in a floppy (non-rigid) airway. Affected persons may have difficulties to maintain patency of the airways. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RECURRENT_UPPER_RESPIRATORY_TRACT_INFECTIONS","SYSTEMATIC_NAME":"M41266","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002788","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002788","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Recurrent upper respiratory tract infections","DESCRIPTION_FULL":"An increased susceptibility to upper respiratory tract infections as manifested by a history of recurrent upper respiratory tract infections (running ears - otitis, sinusitis, pharyngitis, tonsillitis). [HPO:probinson]"}
{"STANDARD_NAME":"HP_TACHYPNEA","SYSTEMATIC_NAME":"M36015","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002789","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002789","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Tachypnea","DESCRIPTION_FULL":"Very rapid breathing. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NEONATAL_BREATHING_DYSREGULATION","SYSTEMATIC_NAME":"M36016","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002790","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002790","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neonatal breathing dysregulation"}
{"STANDARD_NAME":"HP_HYPOVENTILATION","SYSTEMATIC_NAME":"M36017","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002791","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002791","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypoventilation","DESCRIPTION_FULL":"A reduction in the amount of air transported into the pulmonary alveoli by breathing, leading to hypercapnia (increase in the partial pressure of carbon dioxide). [HPO:probinson]"}
{"STANDARD_NAME":"HP_REDUCED_VITAL_CAPACITY","SYSTEMATIC_NAME":"M36018","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002792","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002792","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Reduced vital capacity","DESCRIPTION_FULL":"An abnormal reduction on the vital capacity, which is defined as the total lung capacity (volume of air in the lungs at maximal inflation) less the residual volume (i.e., volume of air in the lungs following maximal exhalation) of the lung. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_PATTERN_OF_RESPIRATION","SYSTEMATIC_NAME":"M36019","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002793","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002793","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal pattern of respiration","DESCRIPTION_FULL":"An anomaly of the rhythm or depth of breathing. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_RESPIRATORY_SYSTEM_PHYSIOLOGY","SYSTEMATIC_NAME":"M36020","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002795","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002795","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal respiratory system physiology"}
{"STANDARD_NAME":"HP_OSTEOLYSIS","SYSTEMATIC_NAME":"M36021","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002797","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002797","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Osteolysis","DESCRIPTION_FULL":"Osteolysis refers to the destruction of bone through bone resorption with removal or loss of calcium. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CONGENITAL_CONTRACTURE","SYSTEMATIC_NAME":"M36022","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002803","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002803","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Congenital contracture","DESCRIPTION_FULL":"One or more flexion contractures (a bent joint that cannot be straightened actively or passively) that are present at birth. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ARTHROGRYPOSIS_MULTIPLEX_CONGENITA","SYSTEMATIC_NAME":"M36023","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002804","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002804","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Arthrogryposis multiplex congenita","DESCRIPTION_FULL":"Multiple congenital contractures in different body areas. [HPO:probinson, PMID:23050160]"}
{"STANDARD_NAME":"HP_KYPHOSIS","SYSTEMATIC_NAME":"M36024","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002808","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002808","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Kyphosis","DESCRIPTION_FULL":"Exaggerated anterior convexity of the thoracic vertebral column. [HPO:probinson]"}
{"STANDARD_NAME":"HP_COXA_VARA","SYSTEMATIC_NAME":"M36025","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002812","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002812","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Coxa vara","DESCRIPTION_FULL":"Coxa vara includes all forms of decrease of the femoral neck shaft angle (the angle between the neck and the shaft of the femur) to less than 120 degrees. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_KNEE","SYSTEMATIC_NAME":"M36026","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002815","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002815","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the knee","DESCRIPTION_FULL":"An abnormality of the knee joint or surrounding structures. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_FEMUR_MORPHOLOGY","SYSTEMATIC_NAME":"M36027","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002823","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002823","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of femur morphology","DESCRIPTION_FULL":"Any anomaly of the structure of the femur. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CAUDAL_APPENDAGE","SYSTEMATIC_NAME":"M36028","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002825","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002825","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Caudal appendage","DESCRIPTION_FULL":"The presence of a tail-like skin appendage located adjacent to the sacrum. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MULTIPLE_JOINT_CONTRACTURES","SYSTEMATIC_NAME":"M36030","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002828","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002828","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Multiple joint contractures"}
{"STANDARD_NAME":"HP_ARTHRALGIA","SYSTEMATIC_NAME":"M36031","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002829","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002829","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Arthralgia","DESCRIPTION_FULL":"Joint pain. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CALCIFIC_STIPPLING","SYSTEMATIC_NAME":"M36032","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002832","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002832","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Calcific stippling","DESCRIPTION_FULL":"An abnormal punctate (speckled, dot-like) pattern of calcifications in soft tissues within or surrounding bones (as observed on radiographs). [HPO:curators]"}
{"STANDARD_NAME":"HP_ASPIRATION","SYSTEMATIC_NAME":"M36033","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002835","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002835","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aspiration","DESCRIPTION_FULL":"Inspiration of a foreign object into the airway. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RECURRENT_BRONCHITIS","SYSTEMATIC_NAME":"M36034","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002837","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002837","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Recurrent bronchitis","DESCRIPTION_FULL":"An increased susceptibility to bronchitis as manifested by a history of recurrent bronchitis. [HPO:probinson, ISBN:0199747725, PMID:28261574]"}
{"STANDARD_NAME":"HP_URINARY_BLADDER_SPHINCTER_DYSFUNCTION","SYSTEMATIC_NAME":"M36035","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002839","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002839","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Urinary bladder sphincter dysfunction","DESCRIPTION_FULL":"Abnormal function of a sphincter of the urinary bladder. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LYMPHADENITIS","SYSTEMATIC_NAME":"M36036","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002840","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002840","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Lymphadenitis","DESCRIPTION_FULL":"Inflammation of a lymph node. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_T_CELL_MORPHOLOGY","SYSTEMATIC_NAME":"M36038","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002843","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002843","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal T cell morphology","DESCRIPTION_FULL":"An abnormality of T cells. [HPO:curators]"}
{"STANDARD_NAME":"HP_ABNORMAL_B_CELL_MORPHOLOGY","SYSTEMATIC_NAME":"M36039","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002846","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002846","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal B cell morphology","DESCRIPTION_FULL":"A structural abnormality of B cells. [HPO:probinson, PMID:18725575]"}
{"STANDARD_NAME":"HP_DECREASED_SPECIFIC_ANTI_POLYSACCHARIDE_ANTIBODY_LEVEL","SYSTEMATIC_NAME":"M36040","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002848","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002848","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased specific anti-polysaccharide antibody level","DESCRIPTION_FULL":"The presence of normal overall immunoglobulin levels with deficiency of specific immunoglobulins directed against bacterial polysaccharides. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DECREASED_CIRCULATING_TOTAL_IGM","SYSTEMATIC_NAME":"M36041","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002850","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002850","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased circulating total IgM","DESCRIPTION_FULL":"An abnormally decreased level of immunoglobulin M (IgM) in blood. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ELEVATED_PROPORTION_OF_CD4_NEGATIVE_CD8_NEGATIVE_ALPHA_BETA_REGULATORY_T_CELLS","SYSTEMATIC_NAME":"M36042","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002851","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002851","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Elevated proportion of CD4-negative, CD8-negative, alpha-beta regulatory T cells","DESCRIPTION_FULL":"An abnormally increased proportion of CD4-negative, CD8-negative (double negative or DN) alpha-beta regulatory T cells (Tregs) as compared to total number of T cells. []"}
{"STANDARD_NAME":"HP_GENU_VALGUM","SYSTEMATIC_NAME":"M36043","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002857","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002857","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Genu valgum","DESCRIPTION_FULL":"The legs angle inward, such that the knees are close together and the ankles far apart. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MENINGIOMA","SYSTEMATIC_NAME":"M36044","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002858","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002858","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Meningioma","DESCRIPTION_FULL":"The presence of a meningioma, i.e., a benign tumor originating from the dura mater or arachnoid mater. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RHABDOMYOSARCOMA","SYSTEMATIC_NAME":"M36045","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002859","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002859","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Rhabdomyosarcoma"}
{"STANDARD_NAME":"HP_SQUAMOUS_CELL_CARCINOMA","SYSTEMATIC_NAME":"M36046","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002860","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002860","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Squamous cell carcinoma","DESCRIPTION_FULL":"The presence of squamous cell carcinoma of the skin. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MELANOMA","SYSTEMATIC_NAME":"M36047","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002861","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002861","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Melanoma","DESCRIPTION_FULL":"The presence of a melanoma, a malignant cancer originating from pigment producing melanocytes. Melanoma can originate from the skin or the pigmented layers of the eye (the uvea). [HPO:probinson]"}
{"STANDARD_NAME":"HP_MYELODYSPLASIA","SYSTEMATIC_NAME":"M36048","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002863","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002863","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Myelodysplasia","DESCRIPTION_FULL":"Clonal hematopoietic stem cell disorders characterized by dysplasia (ineffective production) in one or more hematopoietic cell lineages, leading to anemia and cytopenia. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPOPLASTIC_ILIAC_WING","SYSTEMATIC_NAME":"M36049","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002866","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002866","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypoplastic iliac wing","DESCRIPTION_FULL":"Underdevelopment of the ilium ala. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_ILIUM","SYSTEMATIC_NAME":"M36050","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002867","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002867","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the ilium","DESCRIPTION_FULL":"An abnormality of the ilium, the largest and uppermost bone of the pelvis. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NARROW_ILIAC_WINGS","SYSTEMATIC_NAME":"M36051","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002868","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002868","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Narrow iliac wings","DESCRIPTION_FULL":"Decreased width of the wing (or ala) of the ilium (which is the large expanded portion which bounds the greater pelvis laterally). [HPO:probinson]"}
{"STANDARD_NAME":"HP_FLARED_ILIAC_WINGS","SYSTEMATIC_NAME":"M36052","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002869","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002869","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Flared iliac wings","DESCRIPTION_FULL":"Widening of the ilium ala, that is of the wing of the ilium, combined with external rotation, leading to a flared appearance of the iliac wing. [HPO:probinson]"}
{"STANDARD_NAME":"HP_OBSTRUCTIVE_SLEEP_APNEA","SYSTEMATIC_NAME":"M36053","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002870","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002870","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Obstructive sleep apnea","DESCRIPTION_FULL":"A condition characterized by obstruction of the airway and by pauses in breathing during sleep occurring many times during the night. Obstructive sleep apnea is related to a relaxation of muscle tone (which normally occurs during sleep) leading to partial collapse of the soft tissues in the airway with resultant obstruction of the air flow. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CENTRAL_APNEA","SYSTEMATIC_NAME":"M36054","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002871","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002871","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Central apnea","DESCRIPTION_FULL":"Apnea resulting from depression of the respiratory centers in the medulla oblongata. There is a lack of respiratory effort rather than obstruction of airflow. [HPO:curators]"}
{"STANDARD_NAME":"HP_APNEIC_EPISODES_PRECIPITATED_BY_ILLNESS_FATIGUE_STRESS","SYSTEMATIC_NAME":"M36055","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002872","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002872","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Apneic episodes precipitated by illness, fatigue, stress","DESCRIPTION_FULL":"Recurrent episodes of apnea that are precipitated by factors such as illness, fatigue, or stress. [HPO:curators]"}
{"STANDARD_NAME":"HP_EXERTIONAL_DYSPNEA","SYSTEMATIC_NAME":"M36056","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002875","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002875","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Exertional dyspnea"}
{"STANDARD_NAME":"HP_EPISODIC_TACHYPNEA","SYSTEMATIC_NAME":"M36057","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002876","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002876","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Episodic tachypnea","DESCRIPTION_FULL":"Episodes of very rapid breathing. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NOCTURNAL_HYPOVENTILATION","SYSTEMATIC_NAME":"M36058","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002877","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002877","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Nocturnal hypoventilation"}
{"STANDARD_NAME":"HP_RESPIRATORY_FAILURE","SYSTEMATIC_NAME":"M36059","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002878","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002878","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Respiratory failure","DESCRIPTION_FULL":"A severe form of respiratory insufficiency characterized by inadequate gas exchange such that the levels of oxygen or carbon dioxide cannot be maintained within normal limits. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ANISOSPONDYLY","SYSTEMATIC_NAME":"M36060","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002879","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002879","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Anisospondyly","DESCRIPTION_FULL":"Abnormally increased variability of the size of the vertebral bodies. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SUDDEN_EPISODIC_APNEA","SYSTEMATIC_NAME":"M36061","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002882","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002882","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Sudden episodic apnea","DESCRIPTION_FULL":"Recurrent bouts of sudden, severe apnea that may be life-threatening. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPERVENTILATION","SYSTEMATIC_NAME":"M36062","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002883","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002883","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hyperventilation","DESCRIPTION_FULL":"Hyperventilation refers to an increased pulmonary ventilation rate that is faster than necessary for the exchange of gases. Hyperventilation can result from increased frequency of breathing, an increased tidal volume, or both, and leads to an excess intake of oxygen and the blowing off of carbon dioxide. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HEPATOBLASTOMA","SYSTEMATIC_NAME":"M36063","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002884","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002884","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hepatoblastoma","DESCRIPTION_FULL":"A kind of neoplasm of the liver that originates from immature liver precursor cells and macroscopically is composed of tissue resembling fetal or mature liver cells or bile ducts. [eMedicine:986802, HPO:probinson]"}
{"STANDARD_NAME":"HP_MEDULLOBLASTOMA","SYSTEMATIC_NAME":"M36064","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002885","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002885","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Medulloblastoma","DESCRIPTION_FULL":"A rapidly growing embryonic tumor arising in the posterior part of the cerebellar vermis and neuroepithelial roof of the fourth ventricle in children. More rarely, medulloblastoma arises in the cerebellum in adults. [HPO:probinson]"}
{"STANDARD_NAME":"HP_EPENDYMOMA","SYSTEMATIC_NAME":"M36065","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002888","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002888","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ependymoma","DESCRIPTION_FULL":"The presence of an ependymoma of the central nervous system. [HPO:probinson]"}
{"STANDARD_NAME":"HP_THYROID_CARCINOMA","SYSTEMATIC_NAME":"M36066","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002890","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002890","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Thyroid carcinoma","DESCRIPTION_FULL":"The presence of a carcinoma of the thyroid gland. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PITUITARY_ADENOMA","SYSTEMATIC_NAME":"M36067","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002893","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002893","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pituitary adenoma","DESCRIPTION_FULL":"A benign epithelial tumor derived from intrinsic cells of the adenohypophysis. [DDD:spark]"}
{"STANDARD_NAME":"HP_NEOPLASM_OF_THE_PANCREAS","SYSTEMATIC_NAME":"M36068","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002894","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002894","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neoplasm of the pancreas","DESCRIPTION_FULL":"A tumor (abnormal growth of tissue) of the pancreas. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PAPILLARY_THYROID_CARCINOMA","SYSTEMATIC_NAME":"M36069","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002895","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002895","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Papillary thyroid carcinoma","DESCRIPTION_FULL":"The presence of a papillary adenocarcinoma of the thyroid gland. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NEOPLASM_OF_THE_LIVER","SYSTEMATIC_NAME":"M36070","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002896","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002896","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neoplasm of the liver","DESCRIPTION_FULL":"A tumor (abnormal growth of tissue) of the liver. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PARATHYROID_ADENOMA","SYSTEMATIC_NAME":"M41267","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002897","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002897","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Parathyroid adenoma","DESCRIPTION_FULL":"A benign tumor of the parathyroid gland that can cause hyperparathyroidism. [HPO:probinson]"}
{"STANDARD_NAME":"HP_EMBRYONAL_NEOPLASM","SYSTEMATIC_NAME":"M36071","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002898","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002898","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Embryonal neoplasm"}
{"STANDARD_NAME":"HP_HYPOKALEMIA","SYSTEMATIC_NAME":"M36072","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002900","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002900","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypokalemia","DESCRIPTION_FULL":"An abnormally decreased potassium concentration in the blood. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPOCALCEMIA","SYSTEMATIC_NAME":"M36073","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002901","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002901","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypocalcemia","DESCRIPTION_FULL":"An abnormally decreased calcium concentration in the blood. [HPO:curators]"}
{"STANDARD_NAME":"HP_HYPERPHOSPHATEMIA","SYSTEMATIC_NAME":"M36075","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002905","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002905","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hyperphosphatemia","DESCRIPTION_FULL":"An abnormally increased phosphate concentration in the blood. [HPO:gcarletti]"}
{"STANDARD_NAME":"HP_MICROSCOPIC_HEMATURIA","SYSTEMATIC_NAME":"M36076","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002907","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002907","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Microscopic hematuria","DESCRIPTION_FULL":"Microscopic hematuria detected by dipstick or microscopic examination of the urine. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_CONJUGATED_HYPERBILIRUBINEMIA","SYSTEMATIC_NAME":"M36077","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002908","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002908","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Conjugated hyperbilirubinemia"}
{"STANDARD_NAME":"HP_GENERALIZED_AMINOACIDURIA","SYSTEMATIC_NAME":"M36078","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002909","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002909","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Generalized aminoaciduria","DESCRIPTION_FULL":"An increased concentration of all types of amino acid in the urine. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ELEVATED_HEPATIC_TRANSAMINASE","SYSTEMATIC_NAME":"M36079","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002910","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002910","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Elevated hepatic transaminase","DESCRIPTION_FULL":"Elevations of the levels of SGOT and SGPT in the serum. SGOT (serum glutamic oxaloacetic transaminase) and SGPT (serum glutamic pyruvic transaminase) are transaminases primarily found in the liver and heart and are released into the bloodstream as the result of liver or heart damage. SGOT and SGPT are used clinically mainly as markers of liver damage. [HPO:probinson]"}
{"STANDARD_NAME":"HP_METHYLMALONIC_ACIDEMIA","SYSTEMATIC_NAME":"M36080","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002912","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002912","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Methylmalonic acidemia","DESCRIPTION_FULL":"Increased concentration of methylmalonic acid in the blood. [HPO:probinson, PMID:26101005]"}
{"STANDARD_NAME":"HP_MYOGLOBINURIA","SYSTEMATIC_NAME":"M36081","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002913","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002913","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Myoglobinuria","DESCRIPTION_FULL":"Presence of myoglobin in the urine. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPERCHLORIDURIA","SYSTEMATIC_NAME":"M36082","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002914","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002914","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hyperchloriduria","DESCRIPTION_FULL":"An increased concentration of chloride in the urine. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_CHROMOSOME_SEGREGATION","SYSTEMATIC_NAME":"M36083","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002916","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002916","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of chromosome segregation","DESCRIPTION_FULL":"An abnormality of chromosome segregation. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPERMAGNESEMIA","SYSTEMATIC_NAME":"M36084","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002918","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002918","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypermagnesemia","DESCRIPTION_FULL":"An abnormally increased magnesium concentration in the blood. [HPO:probinson]"}
{"STANDARD_NAME":"HP_KETONURIA","SYSTEMATIC_NAME":"M36085","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002919","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002919","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ketonuria","DESCRIPTION_FULL":"High levels of ketone bodies (acetoacetic acid, beta-hydroxybutyric acid, and acetone) in the urine. Ketone bodies are insignificant in the blood and urine of normal individuals in the postprandial or overnight-fasted state. [HPO:probinson, PMID:11344564]"}
{"STANDARD_NAME":"HP_DECREASED_CIRCULATING_ACTH_LEVEL","SYSTEMATIC_NAME":"M36086","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002920","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002920","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased circulating ACTH level","DESCRIPTION_FULL":"An abnormal reduction in the concentration of corticotropin, also known as adrenocorticotropic hormone (ACTH), in the blood. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_CEREBROSPINAL_FLUID","SYSTEMATIC_NAME":"M36087","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002921","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002921","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the cerebrospinal fluid","DESCRIPTION_FULL":"An abnormality of the cerebrospinal fluid (CSF). [HPO:probinson]"}
{"STANDARD_NAME":"HP_RHEUMATOID_FACTOR_POSITIVE","SYSTEMATIC_NAME":"M36088","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002923","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002923","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Rheumatoid factor positive","DESCRIPTION_FULL":"The presence in the serum of an autoantibody directed against the Fc portion of IgG. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THYROID_PHYSIOLOGY","SYSTEMATIC_NAME":"M36090","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002926","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002926","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of thyroid physiology","DESCRIPTION_FULL":"An abnormal functionality of the thyroid gland. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DECREASED_ACTIVITY_OF_THE_PYRUVATE_DEHYDROGENASE_COMPLEX","SYSTEMATIC_NAME":"M36091","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002928","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002928","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased activity of the pyruvate dehydrogenase complex"}
{"STANDARD_NAME":"HP_DISTAL_SENSORY_IMPAIRMENT","SYSTEMATIC_NAME":"M36092","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002936","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002936","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Distal sensory impairment","DESCRIPTION_FULL":"An abnormal reduction in sensation in the distal portions of the extremities. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HEMIVERTEBRAE","SYSTEMATIC_NAME":"M36093","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002937","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002937","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hemivertebrae","DESCRIPTION_FULL":"Absence of one half of the vertebral body. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LUMBAR_HYPERLORDOSIS","SYSTEMATIC_NAME":"M36094","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002938","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002938","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Lumbar hyperlordosis","DESCRIPTION_FULL":"An abnormal accentuation of the inward curvature of the spine in the lumbar region. [HPO:probinson]"}
{"STANDARD_NAME":"HP_THORACIC_KYPHOSIS","SYSTEMATIC_NAME":"M36095","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002942","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002942","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Thoracic kyphosis","DESCRIPTION_FULL":"Over curvature of the thoracic region, leading to a round back or if sever to a hump. [HPO:probinson]"}
{"STANDARD_NAME":"HP_THORACIC_SCOLIOSIS","SYSTEMATIC_NAME":"M36096","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002943","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002943","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Thoracic scoliosis"}
{"STANDARD_NAME":"HP_THORACOLUMBAR_SCOLIOSIS","SYSTEMATIC_NAME":"M36097","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002944","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002944","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Thoracolumbar scoliosis"}
{"STANDARD_NAME":"HP_INTERVERTEBRAL_SPACE_NARROWING","SYSTEMATIC_NAME":"M36098","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002945","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002945","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Intervertebral space narrowing","DESCRIPTION_FULL":"Decreased height of the intervertebral disk. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CERVICAL_KYPHOSIS","SYSTEMATIC_NAME":"M36099","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002947","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002947","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cervical kyphosis","DESCRIPTION_FULL":"Exaggerated convexity of the cervical vertebral column, causing the cervical spine to bow outwards and take on a rounded appearance. [HPO:probinson]"}
{"STANDARD_NAME":"HP_VERTEBRAL_FUSION","SYSTEMATIC_NAME":"M36100","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002948","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002948","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Vertebral fusion","DESCRIPTION_FULL":"A developmental defect leading to the union of two adjacent vertebrae. [HPO:probinson]"}
{"STANDARD_NAME":"HP_FUSED_CERVICAL_VERTEBRAE","SYSTEMATIC_NAME":"M36101","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002949","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002949","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Fused cervical vertebrae","DESCRIPTION_FULL":"A congenital anomaly characterized by a joining (fusion) of two or more cervical vertebral bodies with one another. []"}
{"STANDARD_NAME":"HP_VERTEBRAL_COMPRESSION_FRACTURES","SYSTEMATIC_NAME":"M36102","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002953","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002953","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Vertebral compression fractures"}
{"STANDARD_NAME":"HP_GRANULOMATOSIS","SYSTEMATIC_NAME":"M36103","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002955","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002955","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Granulomatosis","DESCRIPTION_FULL":"A granulomatous inflammation leading to multiple granuloma formation, which is a specific type of inflammation. A granuloma is a focal compact collection of inflammatory cells, mononuclear cells predominating, usually as a result of the persistence of a non-degradable product and of active cell mediated hypersensitivity. [HPO:probinson, PMID:10908370, PMID:937513]"}
{"STANDARD_NAME":"HP_IMMUNE_DYSREGULATION","SYSTEMATIC_NAME":"M36104","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002958","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002958","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Immune dysregulation","DESCRIPTION_FULL":"Altered immune function characterized by lymphoid proliferation, immune activation, and excessive autoreactivity often leading to autoimmune/inflammatory complications. [PMID:26233425]"}
{"STANDARD_NAME":"HP_AUTOIMMUNITY","SYSTEMATIC_NAME":"M36105","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002960","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002960","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Autoimmunity","DESCRIPTION_FULL":"The occurrence of an immune reaction against the organism's own cells or tissues. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DYSGAMMAGLOBULINEMIA","SYSTEMATIC_NAME":"M41268","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002961","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002961","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Dysgammaglobulinemia","DESCRIPTION_FULL":"Selective deficiency of one or more, but not all, classes of immunoglobulins. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_DELAYED_HYPERSENSITIVITY_SKIN_TEST","SYSTEMATIC_NAME":"M36106","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002963","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002963","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal delayed hypersensitivity skin test","DESCRIPTION_FULL":"Delay in cutaneous immune reaction to specific antigens mediated not by antibodies but by cells. The delayed hypersensitivity test is an immune function test measuring the presence of activated T cells that recognize a specific antigen and is performed by injecting a small amount of the antigen into the skin. The area of the injection is examined 48-72 hours thereafter. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CUTANEOUS_ANERGY","SYSTEMATIC_NAME":"M36107","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002965","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002965","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cutaneous anergy","DESCRIPTION_FULL":"Inability to react to a delayed hypersensitivity skin test. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CUBITUS_VALGUS","SYSTEMATIC_NAME":"M36108","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002967","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002967","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cubitus valgus","DESCRIPTION_FULL":"Abnormal positioning in which the elbows are turned out. [HPO:probinson]"}
{"STANDARD_NAME":"HP_GENU_VARUM","SYSTEMATIC_NAME":"M36109","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002970","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002970","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Genu varum","DESCRIPTION_FULL":"A positional abnormality marked by outward bowing of the legs in which the knees stay wide apart when a person stands with the feet and ankles together. [HPO:probinson]"}
{"STANDARD_NAME":"HP_REDUCED_DELAYED_HYPERSENSITIVITY","SYSTEMATIC_NAME":"M41269","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002972","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002972","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Reduced delayed hypersensitivity","DESCRIPTION_FULL":"Decreased ability to react to a delayed hypersensitivity skin test. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_FOREARM","SYSTEMATIC_NAME":"M36110","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002973","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002973","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the forearm","DESCRIPTION_FULL":"An abnormality of the lower arm. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RADIOULNAR_SYNOSTOSIS","SYSTEMATIC_NAME":"M36111","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002974","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002974","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Radioulnar synostosis","DESCRIPTION_FULL":"An abnormal osseous union (fusion) between the radius and the ulna. [HPO:probinson]"}
{"STANDARD_NAME":"HP_BOWING_OF_THE_LEGS","SYSTEMATIC_NAME":"M36112","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002979","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002979","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Bowing of the legs","DESCRIPTION_FULL":"A bending or abnormal curvature affecting a long bone of the leg. [HPO:probinson]"}
{"STANDARD_NAME":"HP_FEMORAL_BOWING","SYSTEMATIC_NAME":"M36113","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002980","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002980","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Femoral bowing","DESCRIPTION_FULL":"Bowing (abnormal curvature) of the femur. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_CALF","SYSTEMATIC_NAME":"M36114","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002981","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002981","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the calf","DESCRIPTION_FULL":"An abnormality of the calf, i.e. of the posterior part of the lower leg. [HPO:probinson]"}
{"STANDARD_NAME":"HP_TIBIAL_BOWING","SYSTEMATIC_NAME":"M36115","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002982","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002982","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Tibial bowing","DESCRIPTION_FULL":"A bending or abnormal curvature of the tibia. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MICROMELIA","SYSTEMATIC_NAME":"M36116","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002983","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002983","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Micromelia","DESCRIPTION_FULL":"The presence of abnormally small extremities. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPOPLASIA_OF_THE_RADIUS","SYSTEMATIC_NAME":"M36117","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002984","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002984","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypoplasia of the radius","DESCRIPTION_FULL":"Underdevelopment of the radius. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RADIAL_BOWING","SYSTEMATIC_NAME":"M36118","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002986","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002986","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Radial bowing","DESCRIPTION_FULL":"A bending or abnormal curvature of the radius. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ELBOW_FLEXION_CONTRACTURE","SYSTEMATIC_NAME":"M36119","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002987","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002987","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Elbow flexion contracture","DESCRIPTION_FULL":"A chronic loss of elbow joint motion due to structural changes in muscle, tendons, ligaments, or skin that prevent normal movement of the joints of the elbow. [HPO:probinson]"}
{"STANDARD_NAME":"HP_FIBULAR_APLASIA","SYSTEMATIC_NAME":"M36120","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002990","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002990","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Fibular aplasia","DESCRIPTION_FULL":"Absence of the fibula. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_FIBULA_MORPHOLOGY","SYSTEMATIC_NAME":"M36121","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002991","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002991","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of fibula morphology","DESCRIPTION_FULL":"An anomaly of the calf bone (fibula), one of the two bones of the calf. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_TIBIA_MORPHOLOGY","SYSTEMATIC_NAME":"M36122","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002992","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002992","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of tibia morphology","DESCRIPTION_FULL":"Abnormality of the tibia (shinbone). [HPO:curators]"}
{"STANDARD_NAME":"HP_LIMITED_ELBOW_MOVEMENT","SYSTEMATIC_NAME":"M36123","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002996","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002996","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Limited elbow movement"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_ULNA","SYSTEMATIC_NAME":"M36124","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002997","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002997","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the ulna","DESCRIPTION_FULL":"An abnormality of the ulna bone of the forearm. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PATELLAR_DISLOCATION","SYSTEMATIC_NAME":"M36125","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0002999","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0002999","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Patellar dislocation","DESCRIPTION_FULL":"The kneecap normally is located within the groove termed trochlea on the distal femur and can slide up and down in it. Patellar dislocation occurs if the patella fully dislocates out of the groove. [HPO:probinson]"}
{"STANDARD_NAME":"HP_GLOMUS_JUGULAR_TUMOR","SYSTEMATIC_NAME":"M41270","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003001","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003001","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Glomus jugular tumor"}
{"STANDARD_NAME":"HP_BREAST_CARCINOMA","SYSTEMATIC_NAME":"M36126","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003002","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003002","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Breast carcinoma","DESCRIPTION_FULL":"The presence of a carcinoma of the breast. [HPO:probinson]"}
{"STANDARD_NAME":"HP_COLON_CANCER","SYSTEMATIC_NAME":"M36127","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003003","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003003","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Colon cancer"}
{"STANDARD_NAME":"HP_GANGLIONEUROMA","SYSTEMATIC_NAME":"M36128","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003005","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003005","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ganglioneuroma","DESCRIPTION_FULL":"A benign neoplasm that usually arises from the sympathetic trunk in the mediastinum, representing a tumor of the sympathetic nerve fibers arising from neural crest cells. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PROLONGED_BLEEDING_TIME","SYSTEMATIC_NAME":"M36129","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003010","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003010","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Prolonged bleeding time","DESCRIPTION_FULL":"Prolongation of the time taken for a standardized skin cut of fixed depth and length to stop bleeding. [DDD:mumford]"}
{"STANDARD_NAME":"HP_FLARED_METAPHYSIS","SYSTEMATIC_NAME":"M36130","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003015","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003015","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Flared metaphysis","DESCRIPTION_FULL":"The presence of a splayed (i.e.,flared) metaphyseal segment of one or more long bones. [HPO:probinson, PMID:12853662]"}
{"STANDARD_NAME":"HP_METAPHYSEAL_WIDENING","SYSTEMATIC_NAME":"M36131","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003016","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003016","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Metaphyseal widening","DESCRIPTION_FULL":"Abnormal widening of the metaphyseal regions of long bones. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_WRIST","SYSTEMATIC_NAME":"M36132","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003019","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003019","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the wrist","DESCRIPTION_FULL":"Abnormality of the wrist, the structure connecting the hand and the forearm. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ENLARGEMENT_OF_THE_WRISTS","SYSTEMATIC_NAME":"M36133","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003020","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003020","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Enlargement of the wrists"}
{"STANDARD_NAME":"HP_METAPHYSEAL_CUPPING","SYSTEMATIC_NAME":"M36134","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003021","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003021","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Metaphyseal cupping","DESCRIPTION_FULL":"Metaphyseal cupping refers to an inward bulging of the metaphyseal profile giving the metaphysis a cup-like appearance. [HPO:probinson]"}
{"STANDARD_NAME":"HP_METAPHYSEAL_IRREGULARITY","SYSTEMATIC_NAME":"M36135","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003025","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003025","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Metaphyseal irregularity","DESCRIPTION_FULL":"Irregularity of the normally smooth surface of the metaphyses. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SHORT_LONG_BONE","SYSTEMATIC_NAME":"M36136","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003026","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003026","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Short long bone","DESCRIPTION_FULL":"One or more abnormally short long bone. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MESOMELIA","SYSTEMATIC_NAME":"M36137","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003027","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003027","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Mesomelia","DESCRIPTION_FULL":"Shortening of the middle parts of the limbs (forearm and lower leg) in relation to the upper and terminal segments. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_ANKLES","SYSTEMATIC_NAME":"M36138","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003028","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003028","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the ankles"}
{"STANDARD_NAME":"HP_ENLARGEMENT_OF_THE_ANKLES","SYSTEMATIC_NAME":"M36139","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003029","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003029","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Enlargement of the ankles"}
{"STANDARD_NAME":"HP_ULNAR_BOWING","SYSTEMATIC_NAME":"M36140","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003031","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003031","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ulnar bowing","DESCRIPTION_FULL":"Bending of the diaphysis (shaft) of the ulna. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DIAPHYSEAL_SCLEROSIS","SYSTEMATIC_NAME":"M36141","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003034","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003034","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Diaphyseal sclerosis","DESCRIPTION_FULL":"An elevation in bone density in one or more diaphyses. Sclerosis is normally detected on a radiograph as an area of increased opacity. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ENLARGED_JOINTS","SYSTEMATIC_NAME":"M36142","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003037","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003037","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Enlarged joints","DESCRIPTION_FULL":"Increase in size of one or more joints. [HPO:probinson]"}
{"STANDARD_NAME":"HP_FIBULAR_HYPOPLASIA","SYSTEMATIC_NAME":"M36143","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003038","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003038","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Fibular hypoplasia","DESCRIPTION_FULL":"Underdevelopment of the fibula. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ARTHROPATHY","SYSTEMATIC_NAME":"M36144","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003040","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003040","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Arthropathy"}
{"STANDARD_NAME":"HP_HUMERORADIAL_SYNOSTOSIS","SYSTEMATIC_NAME":"M36145","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003041","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003041","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Humeroradial synostosis","DESCRIPTION_FULL":"An abnormal osseous union (fusion) between the radius and the humerus. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_ABNORMAL_SHOULDER_MORPHOLOGY","SYSTEMATIC_NAME":"M36146","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003043","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003043","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal shoulder morphology","DESCRIPTION_FULL":"An abnormality of the shoulder, which is defined as the structures surrounding the shoulder joint where the humerus attaches to the scapula. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SHOULDER_FLEXION_CONTRACTURE","SYSTEMATIC_NAME":"M36147","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003044","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003044","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Shoulder flexion contracture","DESCRIPTION_FULL":"Chronic reduction in active and passive mobility of the shoulder joint due to structural changes in muscle, tendons, ligaments, or skin that prevents normal movement. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_PATELLA_MORPHOLOGY","SYSTEMATIC_NAME":"M36148","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003045","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003045","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal patella morphology","DESCRIPTION_FULL":"Abnormality of the patella (knee cap). [HPO:probinson]"}
{"STANDARD_NAME":"HP_ULNAR_DEVIATION_OF_THE_WRIST","SYSTEMATIC_NAME":"M36149","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003049","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003049","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ulnar deviation of the wrist"}
{"STANDARD_NAME":"HP_ENLARGED_METAPHYSES","SYSTEMATIC_NAME":"M36150","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003051","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003051","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Enlarged metaphyses","DESCRIPTION_FULL":"Abnormal increase in size of one or more metaphyses. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_HUMERUS","SYSTEMATIC_NAME":"M36151","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003063","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003063","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the humerus","DESCRIPTION_FULL":"An abnormality of the humerus (i.e., upper arm bone). [HPO:curators]"}
{"STANDARD_NAME":"HP_PATELLAR_HYPOPLASIA","SYSTEMATIC_NAME":"M36152","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003065","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003065","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Patellar hypoplasia","DESCRIPTION_FULL":"Underdevelopment of the patella. [HPO:curators]"}
{"STANDARD_NAME":"HP_LIMITED_KNEE_EXTENSION","SYSTEMATIC_NAME":"M36153","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003066","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003066","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Limited knee extension","DESCRIPTION_FULL":"Reduced ability to extend (straighten) the knee joint. []"}
{"STANDARD_NAME":"HP_MADELUNG_DEFORMITY","SYSTEMATIC_NAME":"M36154","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003067","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003067","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Madelung deformity","DESCRIPTION_FULL":"An anomaly related to partial closure, or failure of development of the ulnar side of the distal radial growth plate, which results in an arrest of epiphyseal growth of the medial and volar portions of the distal radius. This leads to shortening of the radius and relative overgrowth of the ulna. [HPO:probinson, PMID:12362035]"}
{"STANDARD_NAME":"HP_ELBOW_ANKYLOSIS","SYSTEMATIC_NAME":"M36155","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003070","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003070","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Elbow ankylosis"}
{"STANDARD_NAME":"HP_FLATTENED_EPIPHYSIS","SYSTEMATIC_NAME":"M36156","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003071","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003071","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Flattened epiphysis","DESCRIPTION_FULL":"Abnormal flatness (decreased height) of epiphyses. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPERCALCEMIA","SYSTEMATIC_NAME":"M36157","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003072","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003072","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypercalcemia","DESCRIPTION_FULL":"An abnormally increased calcium concentration in the blood. [HPO:curators]"}
{"STANDARD_NAME":"HP_HYPERGLYCEMIA","SYSTEMATIC_NAME":"M36158","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003074","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003074","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hyperglycemia","DESCRIPTION_FULL":"An increased concentration of glucose in the blood. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPOPROTEINEMIA","SYSTEMATIC_NAME":"M36159","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003075","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003075","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypoproteinemia","DESCRIPTION_FULL":"A decreased concentration of protein in the blood. [HPO:gcarletti]"}
{"STANDARD_NAME":"HP_GLYCOSURIA","SYSTEMATIC_NAME":"M36160","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003076","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003076","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Glycosuria","DESCRIPTION_FULL":"An increased concentration of glucose in the urine. [HPO:gcarletti]"}
{"STANDARD_NAME":"HP_HYPERLIPIDEMIA","SYSTEMATIC_NAME":"M36161","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003077","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003077","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hyperlipidemia","DESCRIPTION_FULL":"An elevated lipid concentration in the blood. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DEFECTIVE_DNA_REPAIR_AFTER_ULTRAVIOLET_RADIATION_DAMAGE","SYSTEMATIC_NAME":"M36162","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003079","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003079","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Defective DNA repair after ultraviolet radiation damage"}
{"STANDARD_NAME":"HP_HYDROXYPROLINURIA","SYSTEMATIC_NAME":"M41271","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003080","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003080","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hydroxyprolinuria","DESCRIPTION_FULL":"An increased concentration of 4-hydroxy-L-proline in the urine. [HPO:gcarletti]"}
{"STANDARD_NAME":"HP_INCREASED_URINARY_POTASSIUM","SYSTEMATIC_NAME":"M41272","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003081","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003081","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased urinary potassium","DESCRIPTION_FULL":"An increased concentration of potassium(1+) in the urine. [HPO:probinson]"}
{"STANDARD_NAME":"HP_FRACTURES_OF_THE_LONG_BONES","SYSTEMATIC_NAME":"M36163","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003084","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003084","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Fractures of the long bones","DESCRIPTION_FULL":"An increased tendency to fractures of the long bones (Mainly, the femur, tibia, fibula, humerus, radius, and ulna). [HPO:curators]"}
{"STANDARD_NAME":"HP_ACROMESOMELIA","SYSTEMATIC_NAME":"M36164","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003086","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003086","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Acromesomelia","DESCRIPTION_FULL":"Small hands and feet. [HPO:probinson, PMID:22286749]"}
{"STANDARD_NAME":"HP_HAMSTRING_CONTRACTURES","SYSTEMATIC_NAME":"M36165","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003089","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003089","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hamstring contractures"}
{"STANDARD_NAME":"HP_SHORT_FEMUR","SYSTEMATIC_NAME":"M36166","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003097","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003097","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Short femur","DESCRIPTION_FULL":"An abnormal shortening of the femur. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SLENDER_LONG_BONE","SYSTEMATIC_NAME":"M36167","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003100","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003100","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Slender long bone","DESCRIPTION_FULL":"Reduced diameter of a long bone. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_CORTICAL_BONE_MORPHOLOGY","SYSTEMATIC_NAME":"M36168","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003103","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003103","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal cortical bone morphology","DESCRIPTION_FULL":"An abnormality of compact bone (also known as cortical bone), which forms the dense surface of bones. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_ABNORMAL_CIRCULATING_CHOLESTEROL_CONCENTRATION","SYSTEMATIC_NAME":"M36169","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003107","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003107","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal circulating cholesterol concentration","DESCRIPTION_FULL":"Any deviation from the normal concentration of cholesterol in the blood circulation. []"}
{"STANDARD_NAME":"HP_HYPERPHOSPHATURIA","SYSTEMATIC_NAME":"M41273","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003109","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003109","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hyperphosphaturia","DESCRIPTION_FULL":"An increased excretion of phosphates in the urine. [HPO:curators]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_URINE_HOMEOSTASIS","SYSTEMATIC_NAME":"M36171","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003110","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003110","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of urine homeostasis","DESCRIPTION_FULL":"An abnormality of the composition of urine or the levels of its components. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_BLOOD_ION_CONCENTRATION","SYSTEMATIC_NAME":"M36172","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003111","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003111","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal blood ion concentration","DESCRIPTION_FULL":"Abnormality of the homeostasis (concentration) of a monoatomic ion. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_CIRCULATING_AMINO_ACID_CONCENTRATION","SYSTEMATIC_NAME":"M41274","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003112","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003112","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal circulating amino acid concentration","DESCRIPTION_FULL":"The presence of an abnormal decrease or increase of one or more amino acids in the blood circulation. [HPO:curators]"}
{"STANDARD_NAME":"HP_HYPOCHLOREMIA","SYSTEMATIC_NAME":"M36173","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003113","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003113","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypochloremia","DESCRIPTION_FULL":"An abnormally decreased chloride concentration in the blood. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_ECHOCARDIOGRAM","SYSTEMATIC_NAME":"M36174","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003116","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003116","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal echocardiogram","DESCRIPTION_FULL":"An abnormality detectable by sonography of the heart (echocardiography). [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_CIRCULATING_HORMONE_LEVEL","SYSTEMATIC_NAME":"M36175","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003117","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003117","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal circulating hormone level","DESCRIPTION_FULL":"An abnormal concentration of a hormone in the blood. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INCREASED_CIRCULATING_CORTISOL_LEVEL","SYSTEMATIC_NAME":"M36176","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003118","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003118","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased circulating cortisol level","DESCRIPTION_FULL":"Overproduction of the hormone of cortisol by the adrenal cortex, resulting in a characteristic combination of clinical symptoms termed Cushing syndrome, with truncal obesity, a round, full face, striae atrophicae and acne, muscle weakness, and other features. [DDD:spark]"}
{"STANDARD_NAME":"HP_ABNORMAL_CIRCULATING_LIPID_CONCENTRATION","SYSTEMATIC_NAME":"M36177","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003119","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003119","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal circulating lipid concentration","DESCRIPTION_FULL":"Any deviation from the normal concentration of a lipid in the blood circulation. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LIMB_JOINT_CONTRACTURE","SYSTEMATIC_NAME":"M36178","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003121","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003121","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Limb joint contracture","DESCRIPTION_FULL":"A contrqacture (chronic loss of joint motion due to structural changes in muscle, tendons, ligaments, or skin) that prevent normal movement of one or more joints of the limbs. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPERCHOLESTEROLEMIA","SYSTEMATIC_NAME":"M36179","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003124","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003124","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypercholesterolemia","DESCRIPTION_FULL":"An increased concentration of cholesterol in the blood. [HPO:gcarletti]"}
{"STANDARD_NAME":"HP_LOW_MOLECULAR_WEIGHT_PROTEINURIA","SYSTEMATIC_NAME":"M41275","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003126","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003126","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Low-molecular-weight proteinuria","DESCRIPTION_FULL":"Excretion in urine of proteins of a size smaller than albumin (molecular weight 69 kD). [PMID:95574]"}
{"STANDARD_NAME":"HP_HYPOCALCIURIA","SYSTEMATIC_NAME":"M36180","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003127","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003127","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypocalciuria","DESCRIPTION_FULL":"An abnormally decreased calcium concentration in the urine. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LACTIC_ACIDOSIS","SYSTEMATIC_NAME":"M36181","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003128","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003128","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Lactic acidosis","DESCRIPTION_FULL":"An abnormal buildup of lactic acid in the body, leading to acidification of the blood and other bodily fluids. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_PERIPHERAL_MYELINATION","SYSTEMATIC_NAME":"M36182","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003130","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003130","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal peripheral myelination","DESCRIPTION_FULL":"An abnormality of the myelination of motor and sensory peripheral nerves. These are axons for motor nerves and dendrites for sensory nerves in the strict anatomic sense. [DDD:fmunitoni, HPO:jbaets]"}
{"STANDARD_NAME":"HP_CYSTINURIA","SYSTEMATIC_NAME":"M36183","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003131","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003131","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cystinuria","DESCRIPTION_FULL":"An increased concentration of cystine in the urine. [HPO:gcarletti]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_SPINOCEREBELLAR_TRACTS","SYSTEMATIC_NAME":"M36184","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003133","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003133","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the spinocerebellar tracts","DESCRIPTION_FULL":"An abnormality of the spinocerebellar tracts, a set of axonal fibers originating in the spinal cord and terminating in the ipsilateral cerebellum. The spinocerebellar tract convey information to the cerebellum about limb and joint position (proprioception). They comprise the ventral spinocerebellar tract, the anterior spinocerebellar tract, and the posterior spinocerebellar tract. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PROLINURIA","SYSTEMATIC_NAME":"M36185","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003137","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003137","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Prolinuria","DESCRIPTION_FULL":"An increased concentration of proline in the urine. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INCREASED_BLOOD_UREA_NITROGEN","SYSTEMATIC_NAME":"M36186","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003138","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003138","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased blood urea nitrogen","DESCRIPTION_FULL":"An increased amount of nitrogen in the form of urea in the blood. [HPO:gcarletti]"}
{"STANDARD_NAME":"HP_PANHYPOGAMMAGLOBULINEMIA","SYSTEMATIC_NAME":"M36187","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003139","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003139","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Panhypogammaglobulinemia","DESCRIPTION_FULL":"A reduction in the circulating levels of all the major classes of immunoglobulin. is characterized by profound decreases in all classes of immunoglobulin with an absence of circulating B lymphocytes. [PMID:23726535]"}
{"STANDARD_NAME":"HP_INCREASED_LDL_CHOLESTEROL_CONCENTRATION","SYSTEMATIC_NAME":"M36188","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003141","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003141","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased LDL cholesterol concentration","DESCRIPTION_FULL":"An elevated concentration of low-density lipoprotein cholesterol in the blood. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INCREASED_SERUM_SEROTONIN","SYSTEMATIC_NAME":"M36189","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003144","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003144","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased serum serotonin","DESCRIPTION_FULL":"A increased concentration of serotonin in the blood. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DECREASED_ADENOSYLCOBALAMIN","SYSTEMATIC_NAME":"M36190","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003145","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003145","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased adenosylcobalamin","DESCRIPTION_FULL":"Decreased concentration of adenosylcobalamin. Adenosylcobalamin is one of the active forms of vitamin B12. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPOCHOLESTEROLEMIA","SYSTEMATIC_NAME":"M36191","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003146","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003146","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypocholesterolemia","DESCRIPTION_FULL":"An decreased concentration of cholesterol in the blood. [HPO:gcarletti]"}
{"STANDARD_NAME":"HP_HYPERURICOSURIA","SYSTEMATIC_NAME":"M41276","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003149","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003149","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hyperuricosuria","DESCRIPTION_FULL":"An abnormally high level of uric acid in the urine. [HPO:probinson]"}
{"STANDARD_NAME":"HP_GLUTARIC_ACIDURIA","SYSTEMATIC_NAME":"M36192","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003150","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003150","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Glutaric aciduria","DESCRIPTION_FULL":"An increased concentration of glutaric acid in the urine. [HPO:gcarletti]"}
{"STANDARD_NAME":"HP_INCREASED_CIRCULATING_ACTH_LEVEL","SYSTEMATIC_NAME":"M36193","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003154","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003154","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased circulating ACTH level","DESCRIPTION_FULL":"An abnormal increased in the concentration of corticotropin, also known as adrenocorticotropic hormone (ACTH), in the blood. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPEROXALURIA","SYSTEMATIC_NAME":"M36195","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003159","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003159","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hyperoxaluria","DESCRIPTION_FULL":"Increased excretion of oxalates in the urine. [HPO:probinson]"}
{"STANDARD_NAME":"HP_FASTING_HYPOGLYCEMIA","SYSTEMATIC_NAME":"M36196","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003162","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003162","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Fasting hypoglycemia"}
{"STANDARD_NAME":"HP_ELEVATED_URINARY_DELTA_AMINOLEVULINIC_ACID","SYSTEMATIC_NAME":"M41277","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003163","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003163","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Elevated urinary delta-aminolevulinic acid","DESCRIPTION_FULL":"An increased concentration of 5-aminolevulinic acid (CHEBI:17549) in the urine. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPOTHALAMIC_GONADOTROPIN_RELEASING_HORMONE_DEFICIENCY","SYSTEMATIC_NAME":"M36197","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003164","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003164","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypothalamic gonadotropin-releasing hormone deficiency"}
{"STANDARD_NAME":"HP_ELEVATED_CIRCULATING_PARATHYROID_HORMONE_LEVEL","SYSTEMATIC_NAME":"M36198","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003165","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003165","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Elevated circulating parathyroid hormone level","DESCRIPTION_FULL":"An abnormal increased concentration of parathyroid hormone. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_ACETABULUM","SYSTEMATIC_NAME":"M36199","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003170","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003170","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the acetabulum","DESCRIPTION_FULL":"An abnormality of the acetabulum, i.e., the Acetabular part of hip bone, which together with the head of the femur forms the hip joint. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_PUBIC_BONE","SYSTEMATIC_NAME":"M36200","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003172","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003172","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the pubic bone","DESCRIPTION_FULL":"An anomaly of the the pubic bone, i.e., of the ventral and anterior of the three principal components (publis, ilium, ischium) of the hip bone. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_ISCHIUM","SYSTEMATIC_NAME":"M36201","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003174","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003174","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the ischium","DESCRIPTION_FULL":"An anomaly of the ischium, which forms the lower and back part of the hip bone. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPOPLASTIC_ISCHIA","SYSTEMATIC_NAME":"M36202","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003175","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003175","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypoplastic ischia","DESCRIPTION_FULL":"Underdevelopment of the ischium, which forms the lower and back part of the hip bone. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SQUARED_ILIAC_BONES","SYSTEMATIC_NAME":"M36203","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003177","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003177","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Squared iliac bones","DESCRIPTION_FULL":"A shift from the normally round (convex) appearance of the iliac wing towards a square-like appearance. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PROTRUSIO_ACETABULI","SYSTEMATIC_NAME":"M36204","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003179","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003179","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Protrusio acetabuli","DESCRIPTION_FULL":"Intrapelvic bulging of the medial acetabular wall. [HPO:probinson]"}
{"STANDARD_NAME":"HP_FLAT_ACETABULAR_ROOF","SYSTEMATIC_NAME":"M36205","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003180","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003180","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Flat acetabular roof","DESCRIPTION_FULL":"Flattening of the superior part of the acetabulum, which is a cup-shaped cavity at the base of the hipbone into which the ball-shaped head of the femur fits. The acetabular roof thereby appears horizontal rather than arched, as it normally does. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SHALLOW_ACETABULAR_FOSSAE","SYSTEMATIC_NAME":"M36206","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003182","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003182","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Shallow acetabular fossae"}
{"STANDARD_NAME":"HP_WIDE_PUBIC_SYMPHYSIS","SYSTEMATIC_NAME":"M36207","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003183","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003183","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Wide pubic symphysis","DESCRIPTION_FULL":"Abnormally increased width of the pubic symphysis is the midline cartilaginous joint uniting the superior rami of the left and right pubic bones. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DECREASED_HIP_ABDUCTION","SYSTEMATIC_NAME":"M36208","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003184","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003184","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased hip abduction","DESCRIPTION_FULL":"Reduced ability to move the femur outward to the side. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INVERTED_NIPPLES","SYSTEMATIC_NAME":"M36209","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003186","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003186","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Inverted nipples","DESCRIPTION_FULL":"The presence of nipples that instead of pointing outward are retracted inwards. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_BREAST_HYPOPLASIA","SYSTEMATIC_NAME":"M36210","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003187","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003187","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Breast hypoplasia","DESCRIPTION_FULL":"Underdevelopment of the breast. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LONG_NOSE","SYSTEMATIC_NAME":"M36211","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003189","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003189","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Long nose","DESCRIPTION_FULL":"Distance from nasion to subnasale more than two standard deviations above the mean, or alternatively, an apparently increased length from the nasal root to the nasal base. [PMID:19152422]"}
{"STANDARD_NAME":"HP_ALLERGIC_RHINITIS","SYSTEMATIC_NAME":"M36212","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003193","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003193","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Allergic rhinitis","DESCRIPTION_FULL":"It is characterized by one or more symptoms including sneezing, itching, nasal congestion, and rhinorrhea. [PMID:11449200]"}
{"STANDARD_NAME":"HP_SHORT_NOSE","SYSTEMATIC_NAME":"M36213","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003196","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003196","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Short nose","DESCRIPTION_FULL":"Distance from nasion to subnasale more than two standard deviations below the mean, or alternatively, an apparently decreased length from the nasal root to the nasal tip. [HPO:probinson, PMID:19152422]"}
{"STANDARD_NAME":"HP_MYOPATHY","SYSTEMATIC_NAME":"M36214","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003198","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003198","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Myopathy","DESCRIPTION_FULL":"A disorder of muscle unrelated to impairment of innervation or neuromuscular junction. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DECREASED_MUSCLE_MASS","SYSTEMATIC_NAME":"M36215","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003199","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003199","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased muscle mass"}
{"STANDARD_NAME":"HP_RAGGED_RED_MUSCLE_FIBERS","SYSTEMATIC_NAME":"M36216","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003200","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003200","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ragged-red muscle fibers","DESCRIPTION_FULL":"An abnormal appearance of muscle fibers observed on muscle biopsy. Ragged red fibers can be visualized with Gomori trichrome staining as irregular and intensely red subsarcolemmal zones, whereas the normal myofibrils are green. The margins of affect fibers appear red and ragged. The ragged-red is due to the accumulation of abnormal mitochondria below the plasma membrane of the muscle fiber, leading to the appearance of a red rim and speckled sarcoplasm. [HPO:probinson, PMID:12075011, PMID:16537564]"}
{"STANDARD_NAME":"HP_RHABDOMYOLYSIS","SYSTEMATIC_NAME":"M36217","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003201","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003201","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Rhabdomyolysis","DESCRIPTION_FULL":"Breakdown of muscle fibers that leads to the release of muscle fiber contents (myoglobin) into the bloodstream. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SKELETAL_MUSCLE_ATROPHY","SYSTEMATIC_NAME":"M36218","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003202","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003202","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Skeletal muscle atrophy","DESCRIPTION_FULL":"The presence of skeletal muscular atrophy (which is also known as amyotrophy). [HPO:probinson]"}
{"STANDARD_NAME":"HP_IMPAIRED_OXIDATIVE_BURST","SYSTEMATIC_NAME":"M36219","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003203","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003203","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Impaired oxidative burst","DESCRIPTION_FULL":"In the NBT test, neutrophils change the colorless compound NBT into a compound with a deep blue color. If this test is negative (i.e., no blue color is produced), then this indicates a defect in superoxide-generating NADPH oxidase activity with inability to efficiently kill phagocytized bacteria. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INTRACELLULAR_ACCUMULATION_OF_AUTOFLUORESCENT_LIPOPIGMENT_STORAGE_MATERIAL","SYSTEMATIC_NAME":"M36220","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003204","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003204","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Intracellular accumulation of autofluorescent lipopigment storage material","DESCRIPTION_FULL":"The intracellular accumulation of autofluorescent storage material. [HPO:probinson, PMID:16455164]"}
{"STANDARD_NAME":"HP_DECREASED_ACTIVITY_OF_NADPH_OXIDASE","SYSTEMATIC_NAME":"M36221","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003206","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003206","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased activity of NADPH oxidase"}
{"STANDARD_NAME":"HP_FINGERPRINT_INTRACELLULAR_ACCUMULATION_OF_AUTOFLUORESCENT_LIPOPIGMENT_STORAGE_MATERIAL","SYSTEMATIC_NAME":"M36222","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003208","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003208","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Fingerprint intracellular accumulation of autofluorescent lipopigment storage material","DESCRIPTION_FULL":"An intracellular accumulation of autofluorescent lipopigment storage material in a trabecular or fingerprint-like pattern. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DECREASED_METHYLMALONYL_COA_MUTASE_ACTIVITY","SYSTEMATIC_NAME":"M36223","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003210","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003210","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased methylmalonyl-CoA mutase activity","DESCRIPTION_FULL":"An abnormality of Krebs cycle metabolism that is characterized by a decreased rate of methylmalonyl-CoA mutase activity. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DICARBOXYLIC_ACIDURIA","SYSTEMATIC_NAME":"M36224","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003215","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003215","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Dicarboxylic aciduria","DESCRIPTION_FULL":"An increased concentration of dicarboxylic acid in the urine. [HPO:gcarletti]"}
{"STANDARD_NAME":"HP_GENERALIZED_AMYLOID_DEPOSITION","SYSTEMATIC_NAME":"M36225","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003216","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003216","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Generalized amyloid deposition","DESCRIPTION_FULL":"A diffuse form of amyloidosis. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPERGLUTAMINEMIA","SYSTEMATIC_NAME":"M36226","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003217","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003217","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hyperglutaminemia","DESCRIPTION_FULL":"An increased concentration of glutamine in the blood. [HPO:gcarletti, PMID:4696900]"}
{"STANDARD_NAME":"HP_OROTICACIDURIA","SYSTEMATIC_NAME":"M36227","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003218","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003218","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Oroticaciduria","DESCRIPTION_FULL":"An increased concentration of orotic acid in the urine. [HPO:gcarlotti]"}
{"STANDARD_NAME":"HP_ETHYLMALONIC_ACIDURIA","SYSTEMATIC_NAME":"M36228","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003219","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003219","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ethylmalonic aciduria","DESCRIPTION_FULL":"An increased concentration of ethylmalonic acid in the urine. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_CHROMOSOME_STABILITY","SYSTEMATIC_NAME":"M36229","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003220","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003220","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of chromosome stability","DESCRIPTION_FULL":"A type of chromosomal aberration characterised by reduced resistance of chromosomes to change or deterioration. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CHROMOSOMAL_BREAKAGE_INDUCED_BY_CROSSLINKING_AGENTS","SYSTEMATIC_NAME":"M36230","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003221","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003221","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Chromosomal breakage induced by crosslinking agents","DESCRIPTION_FULL":"Increased amount of chromosomal breaks in cultured blood lymphocytes or other cells induced by treatment with DNA cross-linking agents such as diepoxybutane and mitomycin C. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_DECREASED_METHYLCOBALAMIN","SYSTEMATIC_NAME":"M36231","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003223","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003223","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased methylcobalamin","DESCRIPTION_FULL":"Decreased concentration of methylcobalamin. Methylcobalamin is a form of vitamin B12. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPERNATREMIA","SYSTEMATIC_NAME":"M36232","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003228","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003228","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypernatremia","DESCRIPTION_FULL":"An abnormally increased sodium concentration in the blood. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DECREASED_HDL_CHOLESTEROL_CONCENTRATION","SYSTEMATIC_NAME":"M36233","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003233","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003233","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased HDL cholesterol concentration","DESCRIPTION_FULL":"An decreased concentration of high-density lipoprotein cholesterol in the blood. [HPO:gcarletti]"}
{"STANDARD_NAME":"HP_DECREASED_PLASMA_CARNITINE","SYSTEMATIC_NAME":"M41278","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003234","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003234","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased plasma carnitine","DESCRIPTION_FULL":"A decreased concentration of carnitine in the blood. [HPO:gcarletti]"}
{"STANDARD_NAME":"HP_HYPERMETHIONINEMIA","SYSTEMATIC_NAME":"M36234","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003235","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003235","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypermethioninemia","DESCRIPTION_FULL":"An increased concentration of methionine in the blood. [HPO:gcarletti]"}
{"STANDARD_NAME":"HP_INCREASED_CIRCULATING_IGG_LEVEL","SYSTEMATIC_NAME":"M36235","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003237","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003237","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased circulating IgG level","DESCRIPTION_FULL":"An abnormally increased level of immunoglobulin G in blood. [HPO:probinson]"}
{"STANDARD_NAME":"HP_EXTERNAL_GENITAL_HYPOPLASIA","SYSTEMATIC_NAME":"M36236","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003241","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003241","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"External genital hypoplasia","DESCRIPTION_FULL":"Underdevelopment of part or all of the external reproductive organs. [HPO:probinson]"}
{"STANDARD_NAME":"HP_OVERGROWTH_OF_EXTERNAL_GENITALIA","SYSTEMATIC_NAME":"M36237","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003247","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003247","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Overgrowth of external genitalia"}
{"STANDARD_NAME":"HP_MALE_INFERTILITY","SYSTEMATIC_NAME":"M36238","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003251","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003251","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Male infertility"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_DNA_REPAIR","SYSTEMATIC_NAME":"M36239","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003254","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003254","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of DNA repair","DESCRIPTION_FULL":"An abnormality of the process of DNA repair, that is, of the process of restoring DNA after damage. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_COAGULATION_CASCADE","SYSTEMATIC_NAME":"M36240","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003256","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003256","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the coagulation cascade","DESCRIPTION_FULL":"An abnormality of the coagulation cascade, which is comprised of the contact activation pathway (also known as the intrinsic pathway) and the tissue factor pathway (also known as the extrinsic pathway) as well as cofactors and regulators. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INCREASED_CIRCULATING_IGA_LEVEL","SYSTEMATIC_NAME":"M36241","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003261","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003261","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased circulating IgA level","DESCRIPTION_FULL":"An abnormally increased level of immunoglobulin A in blood. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SMOOTH_MUSCLE_ANTIBODY_POSITIVITY","SYSTEMATIC_NAME":"M41279","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003262","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003262","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Smooth muscle antibody positivity","DESCRIPTION_FULL":"The presence in serum of antibodies against smooth muscle. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NEONATAL_HYPERBILIRUBINEMIA","SYSTEMATIC_NAME":"M36242","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003265","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003265","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neonatal hyperbilirubinemia","DESCRIPTION_FULL":"A type of hyperbilirubinemia with neonatal onset. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABDOMINAL_DISTENTION","SYSTEMATIC_NAME":"M36243","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003270","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003270","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abdominal distention","DESCRIPTION_FULL":"Distention of the abdomen. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HIP_CONTRACTURE","SYSTEMATIC_NAME":"M36244","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003273","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003273","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hip contracture"}
{"STANDARD_NAME":"HP_NARROW_PELVIS_BONE","SYSTEMATIC_NAME":"M36245","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003275","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003275","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Narrow pelvis bone","DESCRIPTION_FULL":"Reduced side to side width of the pelvis. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LOW_ALKALINE_PHOSPHATASE","SYSTEMATIC_NAME":"M36246","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003282","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003282","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Low alkaline phosphatase","DESCRIPTION_FULL":"Abnormally reduced serum levels of alkaline phosphatase. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CYSTATHIONINEMIA","SYSTEMATIC_NAME":"M41280","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003286","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003286","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cystathioninemia","DESCRIPTION_FULL":"An increased concentration of cystathionine in the blood. [HPO:gcarletti, PMID:16902722]"}
{"STANDARD_NAME":"HP_SPINA_BIFIDA_OCCULTA","SYSTEMATIC_NAME":"M36247","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003298","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003298","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Spina bifida occulta","DESCRIPTION_FULL":"The closed form of spina bifida with incomplete closure of a vertebral body with intact overlying skin. [HPO:probinson]"}
{"STANDARD_NAME":"HP_OVOID_VERTEBRAL_BODIES","SYSTEMATIC_NAME":"M36248","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003300","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003300","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ovoid vertebral bodies","DESCRIPTION_FULL":"When viewed in lateral radiographs, vertebral bodies have a roughly rectangular configuration. This term applies if the vertebral body appears rounded or oval. [HPO:probinson]"}
{"STANDARD_NAME":"HP_IRREGULAR_VERTEBRAL_ENDPLATES","SYSTEMATIC_NAME":"M36249","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003301","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003301","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Irregular vertebral endplates","DESCRIPTION_FULL":"An irregular surface of the vertebral end plates, which are normally relatively smooth. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SPONDYLOLISTHESIS","SYSTEMATIC_NAME":"M36250","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003302","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003302","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Spondylolisthesis","DESCRIPTION_FULL":"Complete bilateral fractures of the pars interarticularis resulting in the anterior slippage of the vertebra. [HPO:probinson, PMID:20411054]"}
{"STANDARD_NAME":"HP_SPONDYLOLYSIS","SYSTEMATIC_NAME":"M36251","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003304","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003304","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Spondylolysis","DESCRIPTION_FULL":"Spondylolysis is an osseous defect of the pars interarticularis, thought to be a developmental or acquired stress fracture secondary to chronic low-grade trauma. [HPO:probinson, PMID:20440613]"}
{"STANDARD_NAME":"HP_SPINAL_RIGIDITY","SYSTEMATIC_NAME":"M36252","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003306","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003306","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Spinal rigidity","DESCRIPTION_FULL":"Reduced ability to move the vertebral column with a resulting limitation of neck and trunk flexion. [HPO:probinson, PMID:11601420, PMID:2246660]"}
{"STANDARD_NAME":"HP_HYPERLORDOSIS","SYSTEMATIC_NAME":"M36253","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003307","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003307","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hyperlordosis","DESCRIPTION_FULL":"Abnormally increased cuvature (anterior concavity) of the lumbar or cervical spine. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CERVICAL_SUBLUXATION","SYSTEMATIC_NAME":"M36254","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003308","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003308","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cervical subluxation","DESCRIPTION_FULL":"A partial dislocation of one or more intervertebral joints in the cervical vertebral column. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_ODONTOID_PROCESS","SYSTEMATIC_NAME":"M36255","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003310","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003310","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the odontoid process","DESCRIPTION_FULL":"Abnormality of the dens of the axis, which is also known as the odontoid process. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPOPLASIA_OF_THE_ODONTOID_PROCESS","SYSTEMATIC_NAME":"M36256","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003311","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003311","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypoplasia of the odontoid process","DESCRIPTION_FULL":"Developmental hypoplasia of the dens of the axis. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_FORM_OF_THE_VERTEBRAL_BODIES","SYSTEMATIC_NAME":"M36257","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003312","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003312","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal form of the vertebral bodies","DESCRIPTION_FULL":"Abnormal morphology of vertebral body. []"}
{"STANDARD_NAME":"HP_BUTTERFLY_VERTEBRAE","SYSTEMATIC_NAME":"M36258","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003316","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003316","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Butterfly vertebrae","DESCRIPTION_FULL":"A butterfly vertebra (sagittal cleft vertebra or anterior rachischisis) is a sagittal defect in the vertebral body caused by failure of fusion of the two lateral chondrification centers during embryogenesis. The name is based on the appearance of the two hemivertebrae emerging as butterfly wings from the central cleft on x-ray. [HPO:probinson, PMID:31448202, PMID:3693103]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_CERVICAL_SPINE","SYSTEMATIC_NAME":"M36259","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003319","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003319","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the cervical spine","DESCRIPTION_FULL":"Any abnormality of the cervical vertebral column. [HPO:probinson]"}
{"STANDARD_NAME":"HP_C1_C2_SUBLUXATION","SYSTEMATIC_NAME":"M41281","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003320","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003320","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"C1-C2 subluxation","DESCRIPTION_FULL":"A partial dislocation of the atlantoaxial joints. [HPO:curators]"}
{"STANDARD_NAME":"HP_PROGRESSIVE_MUSCLE_WEAKNESS","SYSTEMATIC_NAME":"M36260","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003323","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003323","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Progressive muscle weakness"}
{"STANDARD_NAME":"HP_GENERALIZED_MUSCLE_WEAKNESS","SYSTEMATIC_NAME":"M36261","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003324","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003324","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Generalized muscle weakness","DESCRIPTION_FULL":"Generalized weakness or decreased strength of the muscles, affecting both distal and proximal musculature. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LIMB_GIRDLE_MUSCLE_WEAKNESS","SYSTEMATIC_NAME":"M36262","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003325","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003325","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Limb-girdle muscle weakness","DESCRIPTION_FULL":"Weakness of the limb-girdle muscles (also known as the pelvic and shoulder girdles), that is, lack of strength of the muscles around the shoulders and the pelvis. [HPO:curators]"}
{"STANDARD_NAME":"HP_MYALGIA","SYSTEMATIC_NAME":"M36263","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003326","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003326","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Myalgia","DESCRIPTION_FULL":"Pain in muscle. [HPO:probinson]"}
{"STANDARD_NAME":"HP_AXIAL_MUSCLE_WEAKNESS","SYSTEMATIC_NAME":"M36264","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003327","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003327","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Axial muscle weakness","DESCRIPTION_FULL":"Reduced strength of the axial musculature (i.e., of the muscles of the head and neck, spine, and ribs). [HPO:curators]"}
{"STANDARD_NAME":"HP_ABNORMAL_HAIR_LABORATORY_EXAMINATION","SYSTEMATIC_NAME":"M36265","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003328","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003328","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal hair laboratory examination"}
{"STANDARD_NAME":"HP_ABNORMAL_BONE_STRUCTURE","SYSTEMATIC_NAME":"M36266","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003330","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003330","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal bone structure","DESCRIPTION_FULL":"Any anomaly in the composite material or the layered arrangement of the bony skeleton. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_ENCHONDRAL_OSSIFICATION","SYSTEMATIC_NAME":"M36267","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003336","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003336","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal enchondral ossification","DESCRIPTION_FULL":"An abnormality of the process of endochondral ossification, which is a type of replacement ossification in which bone tissue replaces cartilage. [HPO:probinson]"}
{"STANDARD_NAME":"HP_JUNCTIONAL_SPLIT","SYSTEMATIC_NAME":"M36268","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003341","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003341","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Junctional split","DESCRIPTION_FULL":"The formation of bullae (blisters) with cleavage in the lamina lucida layer of the skin. [HPO:probinson]"}
{"STANDARD_NAME":"HP_IMPAIRED_LYMPHOCYTE_TRANSFORMATION_WITH_PHYTOHEMAGGLUTININ","SYSTEMATIC_NAME":"M41282","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003347","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003347","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Impaired lymphocyte transformation with phytohemagglutinin","DESCRIPTION_FULL":"Normal peripheral blood lymphocytes, when stimulated by phytohemagglutinin (PHA) are cytotoxic for homologous and heterologous cells but not for autologous cells in monolayer culture. The cytotoxic effect is thought to be indicative of the immunological competence of the lymphocytes. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DECREASED_CIRCULATING_RENIN_LEVEL","SYSTEMATIC_NAME":"M36269","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003351","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003351","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased circulating renin level","DESCRIPTION_FULL":"An decreased level of renin in the blood. [HPO:probinson]"}
{"STANDARD_NAME":"HP_AMINOACIDURIA","SYSTEMATIC_NAME":"M36270","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003355","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003355","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aminoaciduria","DESCRIPTION_FULL":"An increased concentration of an amino acid in the urine. [HPO:SKOEHLER]"}
{"STANDARD_NAME":"HP_INCREASED_VLDL_CHOLESTEROL_CONCENTRATION","SYSTEMATIC_NAME":"M36271","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003362","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003362","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased VLDL cholesterol concentration","DESCRIPTION_FULL":"An increase in the amount of very-low-density lipoprotein cholesterol in the blood. [HPO:gcarletti]"}
{"STANDARD_NAME":"HP_ARTHRALGIA_OF_THE_HIP","SYSTEMATIC_NAME":"M41283","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003365","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003365","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Arthralgia of the hip","DESCRIPTION_FULL":"Joint pain affecting the hip. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_FEMORAL_NECK_HEAD_MORPHOLOGY","SYSTEMATIC_NAME":"M36272","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003366","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003366","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal femoral neck/head morphology"}
{"STANDARD_NAME":"HP_ABNORMAL_FEMORAL_HEAD_MORPHOLOGY","SYSTEMATIC_NAME":"M36273","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003368","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003368","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal femoral head morphology","DESCRIPTION_FULL":"An abnormality of the femoral head. [HPO:probinson]"}
{"STANDARD_NAME":"HP_FLAT_CAPITAL_FEMORAL_EPIPHYSIS","SYSTEMATIC_NAME":"M36274","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003370","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003370","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Flat capital femoral epiphysis","DESCRIPTION_FULL":"An abnormal flattening of the proximal epiphysis of the femur. [HPO:probinson]"}
{"STANDARD_NAME":"HP_STEPPAGE_GAIT","SYSTEMATIC_NAME":"M36275","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003376","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003376","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Steppage gait","DESCRIPTION_FULL":"An abnormal gait pattern that arises from weakness of the pretibial and peroneal muscles due to a lower motor neuron lesion. Affected patients have footdrop and are unable to dorsiflex and evert the foot. The leg is lifted high on walking so that the toes clear the ground, and there may be a slapping noise when the foot strikes the ground again. [HPO:probinson, PMID:27770207]"}
{"STANDARD_NAME":"HP_AXONAL_DEGENERATION_REGENERATION","SYSTEMATIC_NAME":"M36276","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003378","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003378","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Axonal degeneration/regeneration","DESCRIPTION_FULL":"A pattern of simultaneous degeneration and regeneration of axons (see comment). [HPO:probinson]"}
{"STANDARD_NAME":"HP_DECREASED_NUMBER_OF_PERIPHERAL_MYELINATED_NERVE_FIBERS","SYSTEMATIC_NAME":"M36277","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003380","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003380","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased number of peripheral myelinated nerve fibers","DESCRIPTION_FULL":"A loss of myelinated nerve fibers in the peripheral nervous system (in general, this finding can be observed on nerve biopsy). [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPERTROPHIC_NERVE_CHANGES","SYSTEMATIC_NAME":"M36278","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003382","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003382","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypertrophic nerve changes"}
{"STANDARD_NAME":"HP_ONION_BULB_FORMATION","SYSTEMATIC_NAME":"M36279","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003383","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003383","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Onion bulb formation","DESCRIPTION_FULL":"Repeated episodes of segmental demyelination and remyelination lead to the accumulation of supernumerary Schwann cells around axons, which is referred to as onion bulb formation. This finding affects peripheral nerves. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DECREASED_NUMBER_OF_LARGE_PERIPHERAL_MYELINATED_NERVE_FIBERS","SYSTEMATIC_NAME":"M36280","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003387","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003387","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased number of large peripheral myelinated nerve fibers","DESCRIPTION_FULL":"A reduced number of large myelinated nerve fibers. [HPO:probinson]"}
{"STANDARD_NAME":"HP_EASY_FATIGABILITY","SYSTEMATIC_NAME":"M36281","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003388","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003388","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Easy fatigability","DESCRIPTION_FULL":"Increased susceptibility to fatigue. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SENSORY_AXONAL_NEUROPATHY","SYSTEMATIC_NAME":"M36282","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003390","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003390","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Sensory axonal neuropathy","DESCRIPTION_FULL":"An axonal neuropathy of peripheral sensory nerves. [HPO:curators]"}
{"STANDARD_NAME":"HP_GOWERS_SIGN","SYSTEMATIC_NAME":"M36283","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003391","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003391","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Gowers sign","DESCRIPTION_FULL":"A phenomenon whereby patients are not able to stand up without the use of the hands owing to weakness of the proximal muscles of the lower limbs. [HPO:probinson]"}
{"STANDARD_NAME":"HP_FIRST_DORSAL_INTEROSSEI_MUSCLE_WEAKNESS","SYSTEMATIC_NAME":"M41284","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003392","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003392","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"First dorsal interossei muscle weakness"}
{"STANDARD_NAME":"HP_THENAR_MUSCLE_ATROPHY","SYSTEMATIC_NAME":"M36284","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003393","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003393","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Thenar muscle atrophy","DESCRIPTION_FULL":"Wasting of thenar muscles, which are located on palm of the hand at the base of the thumb. []"}
{"STANDARD_NAME":"HP_MUSCLE_SPASM","SYSTEMATIC_NAME":"M36285","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003394","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003394","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Muscle spasm","DESCRIPTION_FULL":"Sudden and involuntary contractions of one or more muscles. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SYRINGOMYELIA","SYSTEMATIC_NAME":"M36286","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003396","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003396","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Syringomyelia","DESCRIPTION_FULL":"Dilated, glial-lined cavity in spinal cord. This cavity does not communicate with the central canal, and usually is between the dorsal columns unilaterally or bilaterally along the side of the cord. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_ABNORMAL_SYNAPTIC_TRANSMISSION_AT_THE_NEUROMUSCULAR_JUNCTION","SYSTEMATIC_NAME":"M36287","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003398","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003398","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal synaptic transmission at the neuromuscular junction","DESCRIPTION_FULL":"Any abnormality of the neuromuscular junction, which is the synapse between the motor end plate of a motor neuron and the skeletal muscle fibers. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PARESTHESIA","SYSTEMATIC_NAME":"M36288","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003401","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003401","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Paresthesia","DESCRIPTION_FULL":"Abnormal sensations such as tingling, pricking, or numbness of the skin with no apparent physical cause. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DECREASED_MINIATURE_ENDPLATE_POTENTIALS","SYSTEMATIC_NAME":"M36289","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003402","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003402","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased miniature endplate potentials","DESCRIPTION_FULL":"An abnormal reduction in the amplitude of the miniature endplate potentials, i.e. the postsynaptic response to transmitter released from an individual vesicle at the neuromuscular junction. [HPO:probinson]"}
{"STANDARD_NAME":"HP_EMG_DECREMENTAL_RESPONSE_OF_COMPOUND_MUSCLE_ACTION_POTENTIAL_TO_REPETITIVE_NERVE_STIMULATION","SYSTEMATIC_NAME":"M36290","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003403","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003403","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"EMG: decremental response of compound muscle action potential to repetitive nerve stimulation","DESCRIPTION_FULL":"A compound muscle action potential (CMAP) is a type of electromyography (EMG). CMAP refers to a group of almost simultaneous action potentials from several muscle fibers in the same area evoked by stimulation of the supplying motor nerve and are recorded as one multipeaked summated action potential. This abnormality refers to a greater than normal decrease in the amplitude during the course of the investigation. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DISTAL_SENSORY_IMPAIRMENT_OF_ALL_MODALITIES","SYSTEMATIC_NAME":"M36291","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003409","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003409","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Distal sensory impairment of all modalities"}
{"STANDARD_NAME":"HP_PROXIMAL_FEMORAL_METAPHYSEAL_IRREGULARITY","SYSTEMATIC_NAME":"M36292","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003411","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003411","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Proximal femoral metaphyseal irregularity","DESCRIPTION_FULL":"Irregularity of the normally smooth surface of the proximal metaphysis of the femur. []"}
{"STANDARD_NAME":"HP_ATLANTOAXIAL_ABNORMALITY","SYSTEMATIC_NAME":"M36293","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003413","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003413","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Atlantoaxial abnormality","DESCRIPTION_FULL":"An anomaly of the atlantoaxial joint, i.e., of the joint between the first (atlas) and second (axis) cervical vertebrae. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ATLANTOAXIAL_DISLOCATION","SYSTEMATIC_NAME":"M36294","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003414","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003414","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Atlantoaxial dislocation","DESCRIPTION_FULL":"Partial dislocation of the atlantoaxial joint. [HPO:curators]"}
{"STANDARD_NAME":"HP_SPINAL_CANAL_STENOSIS","SYSTEMATIC_NAME":"M36295","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003416","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003416","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Spinal canal stenosis","DESCRIPTION_FULL":"An abnormal narrowing of the spinal canal. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CORONAL_CLEFT_VERTEBRAE","SYSTEMATIC_NAME":"M36296","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003417","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003417","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Coronal cleft vertebrae","DESCRIPTION_FULL":"Frontal schisis (cleft or cleavage) of vertebral bodies. [HPO:probinson]"}
{"STANDARD_NAME":"HP_BACK_PAIN","SYSTEMATIC_NAME":"M36297","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003418","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003418","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Back pain","DESCRIPTION_FULL":"An unpleasant sensation characterized by physical discomfort (such as pricking, throbbing, or aching) localized to the back. []"}
{"STANDARD_NAME":"HP_LOW_BACK_PAIN","SYSTEMATIC_NAME":"M36298","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003419","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003419","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Low back pain","DESCRIPTION_FULL":"An unpleasant sensation characterized by physical discomfort (such as pricking, throbbing, or aching) localized to the lower back. []"}
{"STANDARD_NAME":"HP_VERTEBRAL_SEGMENTATION_DEFECT","SYSTEMATIC_NAME":"M36299","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003422","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003422","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Vertebral segmentation defect","DESCRIPTION_FULL":"An abnormality related to a defect of vertebral separation during development. [HPO:probinson, PMID:23653580, PMID:23801490]"}
{"STANDARD_NAME":"HP_THORACOLUMBAR_KYPHOSCOLIOSIS","SYSTEMATIC_NAME":"M36300","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003423","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003423","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Thoracolumbar kyphoscoliosis"}
{"STANDARD_NAME":"HP_CNS_HYPOMYELINATION","SYSTEMATIC_NAME":"M36301","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003429","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003429","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"CNS hypomyelination","DESCRIPTION_FULL":"Reduced amount of myelin in the central nervous system resulting from defective myelinogenesis. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DECREASED_SIZE_OF_NERVE_TERMINALS","SYSTEMATIC_NAME":"M36302","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003443","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003443","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased size of nerve terminals","DESCRIPTION_FULL":"A reduction in the size of nerve terminals. [HPO:probinson]"}
{"STANDARD_NAME":"HP_EMG_CHRONIC_DENERVATION_SIGNS","SYSTEMATIC_NAME":"M36303","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003444","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003444","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"EMG: chronic denervation signs","DESCRIPTION_FULL":"Evidence of chronic denervation on electromyography. [HPO:probinson]"}
{"STANDARD_NAME":"HP_EMG_NEUROPATHIC_CHANGES","SYSTEMATIC_NAME":"M36304","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003445","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003445","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"EMG: neuropathic changes","DESCRIPTION_FULL":"The presence of characteristic findings of denervation on electromyography (fibrillations, positive sharp waves, and giant motor unit potentials). [HPO:probinson]"}
{"STANDARD_NAME":"HP_AXONAL_LOSS","SYSTEMATIC_NAME":"M36305","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003447","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003447","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Axonal loss","DESCRIPTION_FULL":"A reduction in the number of axons in the peripheral nervous system. [DDD:probinson]"}
{"STANDARD_NAME":"HP_COLD_INDUCED_MUSCLE_CRAMPS","SYSTEMATIC_NAME":"M36306","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003449","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003449","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cold-induced muscle cramps","DESCRIPTION_FULL":"Sudden and involuntary contractions of one or more muscles brought on by exposure to cold temperatures. [HPO:probinson]"}
{"STANDARD_NAME":"HP_AXONAL_REGENERATION","SYSTEMATIC_NAME":"M36307","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003450","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003450","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Axonal regeneration","DESCRIPTION_FULL":"The presence of axonal regeneration following a previous axonal lesion. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INCREASED_SERUM_IRON","SYSTEMATIC_NAME":"M36308","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003452","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003452","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased serum iron"}
{"STANDARD_NAME":"HP_ANTINEUTROPHIL_ANTIBODY_POSITIVITY","SYSTEMATIC_NAME":"M36309","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003453","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003453","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Antineutrophil antibody positivity","DESCRIPTION_FULL":"The presence of autoantibodies in the serum that react against neutrophils. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ELEVATED_CIRCULATING_LONG_CHAIN_FATTY_ACID_CONCENTRATION","SYSTEMATIC_NAME":"M36310","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003455","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003455","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Elevated circulating long chain fatty acid concentration","DESCRIPTION_FULL":"Increased concentration of long-chain fatty acids in the blood circulation. [HPO:probinson]"}
{"STANDARD_NAME":"HP_EMG_ABNORMALITY","SYSTEMATIC_NAME":"M36311","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003457","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003457","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"EMG abnormality","DESCRIPTION_FULL":"Abnormal results of investigations using electromyography (EMG). [HPO:probinson, PMID:18751841]"}
{"STANDARD_NAME":"HP_EMG_MYOPATHIC_ABNORMALITIES","SYSTEMATIC_NAME":"M36312","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003458","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003458","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"EMG: myopathic abnormalities","DESCRIPTION_FULL":"The presence of abnormal electromyographic patterns indicative of myopathy, such as small-short polyphasic motor unit potentials. [HPO:curators]"}
{"STANDARD_NAME":"HP_POLYCLONAL_ELEVATION_OF_IGM","SYSTEMATIC_NAME":"M36313","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003459","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003459","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Polyclonal elevation of IgM","DESCRIPTION_FULL":"A heterogeneous increase in IgM immunoglobulins characterized by a diffuse band on serum electrophoresis. [PMID:11508831]"}
{"STANDARD_NAME":"HP_DECREASED_CIRCULATING_TOTAL_IGA","SYSTEMATIC_NAME":"M41285","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003460","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003460","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased circulating total IgA","DESCRIPTION_FULL":"Undetectable serum immunoglobulin A level at a value < 5 mg/dL (0.05 g/L). [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_VERTEBRAL_MORPHOLOGY","SYSTEMATIC_NAME":"M36314","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003468","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003468","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal vertebral morphology","DESCRIPTION_FULL":"An abnormality of one or more of the vertebrae. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PARALYSIS","SYSTEMATIC_NAME":"M36315","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003470","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003470","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Paralysis","DESCRIPTION_FULL":"Paralysis of voluntary muscles means loss of contraction due to interruption of one or more motor pathways from the brain to the muscle fibers. Although the word paralysis is often used interchangeably to mean either complete or partial loss of muscle strength, it is preferable to use paralysis or plegia for complete or severe loss of muscle strength, and paresis for partial or slight loss. Motor paralysis results from deficits of the upper motor neurons (corticospinal, corticobulbar, or subcorticospinal). Motor paralysis is often accompanied by an impairment in the facility of movement. [HPO:curators]"}
{"STANDARD_NAME":"HP_HYPOCALCEMIC_TETANY","SYSTEMATIC_NAME":"M41286","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003472","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003472","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypocalcemic tetany","DESCRIPTION_FULL":"Hyperexcitability of the neuromuscular system related to abnormally low level of calcium in the blood, resulting in carpopedal or generalized spasms. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SENSORY_IMPAIRMENT","SYSTEMATIC_NAME":"M36316","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003474","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003474","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Sensory impairment","DESCRIPTION_FULL":"An abnormality of the primary sensation that is mediated by peripheral nerves (pain, temperature, touch, vibration, joint position). The word hypoesthesia (or hypesthesia) refers to a reduction in cutaneous sensation to a specific type of testing. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PERIPHERAL_AXONAL_NEUROPATHY","SYSTEMATIC_NAME":"M36317","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003477","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003477","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Peripheral axonal neuropathy","DESCRIPTION_FULL":"An abnormality characterized by disruption of the normal functioning of peripheral axons. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SEGMENTAL_PERIPHERAL_DEMYELINATION_REMYELINATION","SYSTEMATIC_NAME":"M36318","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003481","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003481","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Segmental peripheral demyelination/remyelination","DESCRIPTION_FULL":"A segmental pattern of demyelination and regeneration (remyelination) affecting peripheral nerves. [HPO:probinson]"}
{"STANDARD_NAME":"HP_EMG_AXONAL_ABNORMALITY","SYSTEMATIC_NAME":"M36319","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003482","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003482","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"EMG: axonal abnormality","DESCRIPTION_FULL":"Electromyographic (EMG) findings characteristic of axonal neuropathy, with normal or slightly decreased nerve conduction velocities, normal or slightly prolonged distal latencies, but significantly reduced motor potentials and sensory amplitudes. There may be spontaneous activity upon needle EMG studies, such as increased insertional activity, positive sharp waves, and fibrillation potentials. [HPO:probinson]"}
{"STANDARD_NAME":"HP_UPPER_LIMB_MUSCLE_WEAKNESS","SYSTEMATIC_NAME":"M36320","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003484","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003484","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Upper limb muscle weakness","DESCRIPTION_FULL":"Weakness of the muscles of the arms. [HPO:probinson]"}
{"STANDARD_NAME":"HP_BABINSKI_SIGN","SYSTEMATIC_NAME":"M36321","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003487","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003487","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Babinski sign","DESCRIPTION_FULL":"Upturning of the big toe (and sometimes fanning of the other toes) in response to stimulation of the sole of the foot. If the Babinski sign is present it can indicate damage to the corticospinal tract. [HPO:curators]"}
{"STANDARD_NAME":"HP_ANTINUCLEAR_ANTIBODY_POSITIVITY","SYSTEMATIC_NAME":"M36322","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003493","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003493","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Antinuclear antibody positivity","DESCRIPTION_FULL":"The presence of autoantibodies in the serum that react against nuclei or nuclear components. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INCREASED_CIRCULATING_IGM_LEVEL","SYSTEMATIC_NAME":"M36323","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003496","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003496","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased circulating IgM level","DESCRIPTION_FULL":"An abnormally increased level of immunoglobulin M in blood. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DISPROPORTIONATE_SHORT_STATURE","SYSTEMATIC_NAME":"M36324","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003498","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003498","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Disproportionate short stature","DESCRIPTION_FULL":"A kind of short stature in which different regions of the body are shortened to differing extents. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MILD_SHORT_STATURE","SYSTEMATIC_NAME":"M36325","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003502","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003502","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Mild short stature","DESCRIPTION_FULL":"A mild degree of short stature, more than -2 SD but not more than -3 SD from mean corrected for age and sex. [DDD:hfirth]"}
{"STANDARD_NAME":"HP_PROPORTIONATE_SHORT_STATURE","SYSTEMATIC_NAME":"M36326","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003508","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003508","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Proportionate short stature","DESCRIPTION_FULL":"A kind of short stature in which different regions of the body are shortened to a comparable extent. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SEVERE_SHORT_STATURE","SYSTEMATIC_NAME":"M36327","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003510","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003510","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Severe short stature","DESCRIPTION_FULL":"A severe degree of short stature, more than -4 SD from the mean corrected for age and sex. [HPO:probinson]"}
{"STANDARD_NAME":"HP_BIRTH_LENGTH_GREATER_THAN_97TH_PERCENTILE","SYSTEMATIC_NAME":"M36328","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003517","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003517","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Birth length greater than 97th percentile"}
{"STANDARD_NAME":"HP_DISPROPORTIONATE_SHORT_TRUNK_SHORT_STATURE","SYSTEMATIC_NAME":"M36329","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003521","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003521","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Disproportionate short-trunk short stature","DESCRIPTION_FULL":"A type of disproportionate short stature characterized by a short trunk but a average-sized limbs. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ELEVATED_CALCITONIN","SYSTEMATIC_NAME":"M36330","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003528","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003528","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Elevated calcitonin"}
{"STANDARD_NAME":"HP_ELEVATED_CIRCULATING_GLUTARIC_ACID_CONCENTRATION","SYSTEMATIC_NAME":"M36331","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003530","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003530","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Elevated circulating glutaric acid concentration","DESCRIPTION_FULL":"An increased concentration of glutaric acid in the blood. [HPO:gcarletti]"}
{"STANDARD_NAME":"HP_3_METHYLGLUTACONIC_ACIDURIA","SYSTEMATIC_NAME":"M36332","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003535","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003535","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"3-Methylglutaconic aciduria","DESCRIPTION_FULL":"An increased amount of 3-methylglutaconic acid in the urine. []"}
{"STANDARD_NAME":"HP_HYPOURICEMIA","SYSTEMATIC_NAME":"M36333","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003537","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003537","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypouricemia","DESCRIPTION_FULL":"An abnormally low level of uric acid in the blood. [HPO:curators]"}
{"STANDARD_NAME":"HP_URINARY_GLYCOSAMINOGLYCAN_EXCRETION","SYSTEMATIC_NAME":"M36334","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003541","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003541","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Urinary glycosaminoglycan excretion","DESCRIPTION_FULL":"Excretion of glycosaminoglycan in the urine. Glycosaminoglycans are long unbranched polysaccharides consisting of a repeating disaccharide unit. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INCREASED_SERUM_PYRUVATE","SYSTEMATIC_NAME":"M36335","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003542","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003542","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased serum pyruvate","DESCRIPTION_FULL":"An increased concentration of pyruvate in the blood. [HPO:gcarletti]"}
{"STANDARD_NAME":"HP_EXERCISE_INTOLERANCE","SYSTEMATIC_NAME":"M36336","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003546","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003546","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Exercise intolerance","DESCRIPTION_FULL":"A functional motor deficit where individuals whose responses to the challenges of exercise fail to achieve levels considered normal for their age and gender. [PMID:10617757]"}
{"STANDARD_NAME":"HP_SHOULDER_GIRDLE_MUSCLE_WEAKNESS","SYSTEMATIC_NAME":"M36337","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003547","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003547","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Shoulder girdle muscle weakness","DESCRIPTION_FULL":"The shoulder, or pectoral, girdle is composed of the clavicles and the scapulae. Shoulder-girdle weakness refers to lack of strength of the muscles attaching to these bones, that is, lack of strength of the muscles around the shoulders. [HPO:curators]"}
{"STANDARD_NAME":"HP_SUBSARCOLEMMAL_ACCUMULATIONS_OF_ABNORMALLY_SHAPED_MITOCHONDRIA","SYSTEMATIC_NAME":"M36338","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003548","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003548","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Subsarcolemmal accumulations of abnormally shaped mitochondria","DESCRIPTION_FULL":"An abnormally increased number of mitochondria in the cytoplasma adjacent to the sarcolemma (muscle cell membrane), whereby the mitochondria also possess an abnormal morphology. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PREDOMINANTLY_LOWER_LIMB_LYMPHEDEMA","SYSTEMATIC_NAME":"M36340","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003550","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003550","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Predominantly lower limb lymphedema","DESCRIPTION_FULL":"Localized fluid retention and tissue swelling caused by a compromised lymphatic system, affecting mainly the legs. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DIFFICULTY_CLIMBING_STAIRS","SYSTEMATIC_NAME":"M36341","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003551","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003551","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Difficulty climbing stairs","DESCRIPTION_FULL":"Reduced ability to climb stairs. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MUSCLE_STIFFNESS","SYSTEMATIC_NAME":"M36342","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003552","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003552","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Muscle stiffness","DESCRIPTION_FULL":"A condition in which muscles cannot be moved quickly without accompanying pain or spasm. [HPO:probinson]"}
{"STANDARD_NAME":"HP_TYPE_2_MUSCLE_FIBER_ATROPHY","SYSTEMATIC_NAME":"M36343","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003554","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003554","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Type 2 muscle fiber atrophy","DESCRIPTION_FULL":"Atrophy (wasting) affecting primary type 2 muscle fibers. This feature in general can only be observed on muscle biopsy. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MUSCLE_FIBER_SPLITTING","SYSTEMATIC_NAME":"M36344","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003555","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003555","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Muscle fiber splitting","DESCRIPTION_FULL":"Fiber splitting or branching is a common finding in human and rat skeletal muscle pathology. Fiber splitting refers to longitudinal halving of the complete fiber, while branching originates from a regenerating end of a necrotic fiber as invaginations of the sarcolemma. In fiber branching, one end of the fiber remains intact as a single entity, while the other end has several branches. [PMID:6123177]"}
{"STANDARD_NAME":"HP_VIRAL_INFECTION_INDUCED_RHABDOMYOLYSIS","SYSTEMATIC_NAME":"M41287","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003558","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003558","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Viral infection-induced rhabdomyolysis","DESCRIPTION_FULL":"Rhabdomyolysis induced by a viral infection. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MUSCULAR_DYSTROPHY","SYSTEMATIC_NAME":"M36345","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003560","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003560","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Muscular dystrophy","DESCRIPTION_FULL":"The term dystrophy means abnormal growth. However, muscular dystrophy is used to describe primary myopathies with a genetic basis and a progressive course characterized by progressive skeletal muscle weakness and wasting, defects in muscle proteins, and histological features of muscle fiber degeneration (necrosis) and regeneration. If possible, it is preferred to use other HPO terms to describe the precise phenotypic abnormalities. [HPO:probinson, Neuromics:vstraub]"}
{"STANDARD_NAME":"HP_BIRTH_LENGTH_LESS_THAN_3RD_PERCENTILE","SYSTEMATIC_NAME":"M36346","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003561","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003561","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Birth length less than 3rd percentile"}
{"STANDARD_NAME":"HP_DECREASED_LDL_CHOLESTEROL_CONCENTRATION","SYSTEMATIC_NAME":"M36347","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003563","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003563","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased LDL cholesterol concentration","DESCRIPTION_FULL":"An decreased concentration of low-density lipoprotein cholesterol in the blood. [HPO:gcarletti]"}
{"STANDARD_NAME":"HP_LOW_PLASMA_CITRULLINE","SYSTEMATIC_NAME":"M36349","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003572","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003572","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Low plasma citrulline","DESCRIPTION_FULL":"A decreased concentration of citrulline in the blood. [HPO:gcarletti]"}
{"STANDARD_NAME":"HP_INCREASED_TOTAL_BILIRUBIN","SYSTEMATIC_NAME":"M36350","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003573","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003573","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased total bilirubin","DESCRIPTION_FULL":"Increased concentration of total (conjugated and unconjugated) bilirubin in the blood. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CONGENITAL_ONSET","SYSTEMATIC_NAME":"M36351","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003577","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003577","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Congenital onset","DESCRIPTION_FULL":"A phenotypic abnormality that is present at birth. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ADULT_ONSET","SYSTEMATIC_NAME":"M36352","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003581","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003581","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Adult onset","DESCRIPTION_FULL":"Onset of disease manifestations in adulthood, defined here as at the age of 16 years or later. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LATE_ONSET","SYSTEMATIC_NAME":"M36353","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003584","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003584","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Late onset","DESCRIPTION_FULL":"A type of adult onset with onset of symptoms after the age of 60 years. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INSIDIOUS_ONSET","SYSTEMATIC_NAME":"M36354","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003587","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003587","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Insidious onset","DESCRIPTION_FULL":"Gradual, very slow onset of disease manifestations. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INFANTILE_ONSET","SYSTEMATIC_NAME":"M36355","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003593","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003593","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Infantile onset","DESCRIPTION_FULL":"Onset of signs or symptoms of disease between 28 days to one year of life. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MIDDLE_AGE_ONSET","SYSTEMATIC_NAME":"M36356","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003596","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003596","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Middle age onset","DESCRIPTION_FULL":"A type of adult onset with onset of symptoms at the age of 40 to 60 years. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ANTIPHOSPHOLIPID_ANTIBODY_POSITIVITY","SYSTEMATIC_NAME":"M36357","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003613","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003613","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Antiphospholipid antibody positivity","DESCRIPTION_FULL":"The presence of circulating autoantibodies to phospholipids. [HPO:probinson]"}
{"STANDARD_NAME":"HP_JUVENILE_ONSET","SYSTEMATIC_NAME":"M36358","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003621","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003621","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Juvenile onset","DESCRIPTION_FULL":"Onset of signs or symptoms of disease between the age of 5 and 15 years. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NEONATAL_ONSET","SYSTEMATIC_NAME":"M36359","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003623","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003623","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neonatal onset","DESCRIPTION_FULL":"Onset of signs or symptoms of disease within the first 28 days of life. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LOSS_OF_SUBCUTANEOUS_ADIPOSE_TISSUE_IN_LIMBS","SYSTEMATIC_NAME":"M36360","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003635","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003635","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Loss of subcutaneous adipose tissue in limbs","DESCRIPTION_FULL":"Loss (disappearance) of previously present subcutaneous fat tissue in arm or leg. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HEMOGLOBINURIA","SYSTEMATIC_NAME":"M36361","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003641","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003641","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hemoglobinuria","DESCRIPTION_FULL":"The presence of free hemoglobin in the urine. [HPO:probinson]"}
{"STANDARD_NAME":"HP_TYPE_I_TRANSFERRIN_ISOFORM_PROFILE","SYSTEMATIC_NAME":"M36362","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003642","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003642","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Type I transferrin isoform profile","DESCRIPTION_FULL":"Abnormal transferrin isoform profile consistent with a type I congenital disorder of glycosylation. In the traditional nomenclature for congenital disorders of glycosylation, absence of entire glycans was designated type I, and loss of one or more monosaccharides as type II. [HPO:probinson, PMID:15105360, PMID:22516080]"}
{"STANDARD_NAME":"HP_PROLONGED_PARTIAL_THROMBOPLASTIN_TIME","SYSTEMATIC_NAME":"M36363","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003645","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003645","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Prolonged partial thromboplastin time","DESCRIPTION_FULL":"Increased time to coagulation in the partial thromboplastin time (PTT) test, a measure of the intrinsic and common coagulation pathways. Phospholipid, and activator, and calcium are mixed into an anticoagulated plasma sample, and the time is measured until a thrombus forms. [HPO:probinson]"}
{"STANDARD_NAME":"HP_BICARBONATURIA","SYSTEMATIC_NAME":"M41288","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003646","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003646","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Bicarbonaturia","DESCRIPTION_FULL":"Abnormally increased concentration of hydrogencarbonate in the urine. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LACTICACIDURIA","SYSTEMATIC_NAME":"M36364","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003648","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003648","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Lacticaciduria","DESCRIPTION_FULL":"An increased concentration of lactic acid in the urine. [HPO:probinson]"}
{"STANDARD_NAME":"HP_FOAM_CELLS","SYSTEMATIC_NAME":"M36365","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003651","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003651","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Foam cells","DESCRIPTION_FULL":"The presence of foam cells, a type of macrophage that localizes to fatty deposits on blood vessel walls, where they ingest low-density lipoproteins and become laden with lipids, giving them a foamy appearance. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPOMETHIONINEMIA","SYSTEMATIC_NAME":"M36366","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003658","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003658","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypomethioninemia","DESCRIPTION_FULL":"A decreased concentration of methionine in the blood. [HPO:gcarletti]"}
{"STANDARD_NAME":"HP_ONSET","SYSTEMATIC_NAME":"M36367","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003674","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003674","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Onset","DESCRIPTION_FULL":"The age group in which disease manifestations appear. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PROGRESSIVE","SYSTEMATIC_NAME":"M36368","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003676","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003676","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Progressive"}
{"STANDARD_NAME":"HP_SLOW_PROGRESSION","SYSTEMATIC_NAME":"M36369","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003677","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003677","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Slow progression"}
{"STANDARD_NAME":"HP_RAPIDLY_PROGRESSIVE","SYSTEMATIC_NAME":"M36370","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003678","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003678","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Rapidly progressive"}
{"STANDARD_NAME":"HP_PACE_OF_PROGRESSION","SYSTEMATIC_NAME":"M36371","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003679","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003679","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pace of progression"}
{"STANDARD_NAME":"HP_NONPROGRESSIVE","SYSTEMATIC_NAME":"M36372","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003680","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003680","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Nonprogressive"}
{"STANDARD_NAME":"HP_LARGE_BEAKED_NOSE","SYSTEMATIC_NAME":"M36373","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003683","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003683","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Large beaked nose"}
{"STANDARD_NAME":"HP_CENTRALLY_NUCLEATED_SKELETAL_MUSCLE_FIBERS","SYSTEMATIC_NAME":"M36374","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003687","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003687","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Centrally nucleated skeletal muscle fibers","DESCRIPTION_FULL":"An abnormality in which the nuclei of sarcomeres take on an abnormally central localization (or in which this feature is found in an increased proportion of muscle cells). [HPO:probinson, PMID:20181480]"}
{"STANDARD_NAME":"HP_CYTOCHROME_C_OXIDASE_NEGATIVE_MUSCLE_FIBERS","SYSTEMATIC_NAME":"M36375","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003688","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003688","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cytochrome C oxidase-negative muscle fibers","DESCRIPTION_FULL":"An abnormally reduced activity of the enzyme cytochrome C oxidase in muscle tissue. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MULTIPLE_MITOCHONDRIAL_DNA_DELETIONS","SYSTEMATIC_NAME":"M41289","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003689","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003689","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Multiple mitochondrial DNA deletions","DESCRIPTION_FULL":"The presence of multiple deletions of mitochondrial DNA (mtDNA). [HPO:probinson]"}
{"STANDARD_NAME":"HP_LIMB_MUSCLE_WEAKNESS","SYSTEMATIC_NAME":"M36376","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003690","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003690","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Limb muscle weakness","DESCRIPTION_FULL":"Reduced strength and weakness of the muscles of the arms and legs. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_SCAPULAR_WINGING","SYSTEMATIC_NAME":"M36377","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003691","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003691","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Scapular winging","DESCRIPTION_FULL":"Abnormal protrusion of the scapula away from the surface of the back. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DISTAL_AMYOTROPHY","SYSTEMATIC_NAME":"M36378","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003693","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003693","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Distal amyotrophy","DESCRIPTION_FULL":"Muscular atrophy affecting muscles in the distal portions of the extremities. [HPO:curators]"}
{"STANDARD_NAME":"HP_LATE_ONSET_PROXIMAL_MUSCLE_WEAKNESS","SYSTEMATIC_NAME":"M36379","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003694","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003694","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Late-onset proximal muscle weakness","DESCRIPTION_FULL":"Lack of strength of the proximal musculature occurring late in the clinical course. [HPO:curators]"}
{"STANDARD_NAME":"HP_DIFFICULTY_STANDING","SYSTEMATIC_NAME":"M36380","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003698","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003698","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Difficulty standing"}
{"STANDARD_NAME":"HP_GENERALIZED_AMYOTROPHY","SYSTEMATIC_NAME":"M36381","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003700","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003700","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Generalized amyotrophy","DESCRIPTION_FULL":"Generalized (diffuse, unlocalized) amyotrophy (muscle atrophy) affecting multiple muscles. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PROXIMAL_MUSCLE_WEAKNESS","SYSTEMATIC_NAME":"M36382","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003701","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003701","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Proximal muscle weakness","DESCRIPTION_FULL":"A lack of strength of the proximal muscles. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CALF_MUSCLE_PSEUDOHYPERTROPHY","SYSTEMATIC_NAME":"M36383","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003707","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003707","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Calf muscle pseudohypertrophy","DESCRIPTION_FULL":"Enlargement of the muscles of the calf due to their replacement by connective tissue or fat. [HPO:probinson]"}
{"STANDARD_NAME":"HP_EXERCISE_INDUCED_MUSCLE_CRAMPS","SYSTEMATIC_NAME":"M36384","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003710","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003710","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Exercise-induced muscle cramps","DESCRIPTION_FULL":"Sudden and involuntary contractions of one or more muscles brought on by physical exertion. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SKELETAL_MUSCLE_HYPERTROPHY","SYSTEMATIC_NAME":"M36385","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003712","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003712","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Skeletal muscle hypertrophy","DESCRIPTION_FULL":"Hypertrophy (increase in size) of muscle cells (as opposed to hyperplasia, which refers to an increase in the number of muscle cells). [HPO:curators]"}
{"STANDARD_NAME":"HP_MUSCLE_FIBER_NECROSIS","SYSTEMATIC_NAME":"M36386","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003713","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003713","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Muscle fiber necrosis","DESCRIPTION_FULL":"Abnormal cell death involving muscle fibers usually associated with break in, or absence of, muscle surface fiber membrane and resulting in irreversible damage to muscle fibers. [HPO:curators]"}
{"STANDARD_NAME":"HP_MYOFIBRILLAR_MYOPATHY","SYSTEMATIC_NAME":"M36387","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003715","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003715","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Myofibrillar myopathy","DESCRIPTION_FULL":"Myofibrillar structural changes characterized by abnormal intracellular accumulation of the intermediate filament desmin and other proteins. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NECK_FLEXOR_WEAKNESS","SYSTEMATIC_NAME":"M36388","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003722","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003722","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neck flexor weakness","DESCRIPTION_FULL":"Weakness of the muscles involved in neck flexion (sternocleidomastoid, longus capitus, longus colli, and scalenus anterior). [HPO:curators]"}
{"STANDARD_NAME":"HP_SHOULDER_GIRDLE_MUSCLE_ATROPHY","SYSTEMATIC_NAME":"M36389","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003724","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003724","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Shoulder girdle muscle atrophy","DESCRIPTION_FULL":"Amyotrophy affecting the muscles of the shoulder girdle. [HPO:curators]"}
{"STANDARD_NAME":"HP_QUADRICEPS_MUSCLE_WEAKNESS","SYSTEMATIC_NAME":"M36390","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003731","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003731","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Quadriceps muscle weakness","DESCRIPTION_FULL":"Weakness of the quadriceps muscle (that is, of the muscle fasciculus of quadriceps femoris). [HPO:curators]"}
{"STANDARD_NAME":"HP_AUTOPHAGIC_VACUOLES","SYSTEMATIC_NAME":"M36391","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003736","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003736","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Autophagic vacuoles","DESCRIPTION_FULL":"The lysosomal-vacuolar pathway has a role in the controlled intracellular digestion of macromolecules such as protein complexes and organelles. This feature refers to the presence of an abnormally increased number of autophagic vacuoles in muscle tissue. [HPO:probinson, PMID:17027858]"}
{"STANDARD_NAME":"HP_MITOCHONDRIAL_MYOPATHY","SYSTEMATIC_NAME":"M36392","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003737","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003737","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Mitochondrial myopathy","DESCRIPTION_FULL":"A type of myopathy associated with mitochondrial disease and characterized by findings on biopsy such as ragged red muscle fibers. [HPO:probinson]"}
{"STANDARD_NAME":"HP_EXERCISE_INDUCED_MYALGIA","SYSTEMATIC_NAME":"M36393","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003738","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003738","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Exercise-induced myalgia","DESCRIPTION_FULL":"The occurrence of an unusually high amount of muscle pain following exercise. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MYOCLONIC_SPASMS","SYSTEMATIC_NAME":"M36394","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003739","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003739","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Myoclonic spasms"}
{"STANDARD_NAME":"HP_CONGENITAL_MUSCULAR_DYSTROPHY","SYSTEMATIC_NAME":"M36395","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003741","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003741","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Congenital muscular dystrophy"}
{"STANDARD_NAME":"HP_GENETIC_ANTICIPATION","SYSTEMATIC_NAME":"M36396","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003743","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003743","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Genetic anticipation","DESCRIPTION_FULL":"A mode of inheritance in which the severity of a disorder increases or the age of onset decreases as the disorder is passed from one generation to the next. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SPORADIC","SYSTEMATIC_NAME":"M36397","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003745","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003745","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Sporadic","DESCRIPTION_FULL":"Cases of the disease in question occur without a previous family history, i.e., as isolated cases without being transmitted from a parent and without other siblings being affected. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PELVIC_GIRDLE_MUSCLE_WEAKNESS","SYSTEMATIC_NAME":"M36398","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003749","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003749","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pelvic girdle muscle weakness","DESCRIPTION_FULL":"Weakness of the muscles of the pelvic girdle (also known as the hip girdle), that is, lack of strength of the muscles around the pelvis. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INCREASED_MUSCLE_FATIGUABILITY","SYSTEMATIC_NAME":"M36399","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003750","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003750","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased muscle fatiguability","DESCRIPTION_FULL":"An abnormal, increased fatiguability of the musculature. [HPO:curators]"}
{"STANDARD_NAME":"HP_EPISODIC_FLACCID_WEAKNESS","SYSTEMATIC_NAME":"M36400","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003752","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003752","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Episodic flaccid weakness","DESCRIPTION_FULL":"Recurrent episodes of muscle flaccidity, a type of paralysis in which a muscle becomes soft and yields to passive stretching. [HPO:probinson]"}
{"STANDARD_NAME":"HP_TYPE_1_FIBERS_RELATIVELY_SMALLER_THAN_TYPE_2_FIBERS","SYSTEMATIC_NAME":"M36401","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003755","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003755","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Type 1 fibers relatively smaller than type 2 fibers","DESCRIPTION_FULL":"The presence of abnormal muscle fiber size such that type 1 fibers are smaller than type 2 fibers. [HPO:curators]"}
{"STANDARD_NAME":"HP_SKELETAL_MYOPATHY","SYSTEMATIC_NAME":"M36402","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003756","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003756","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Skeletal myopathy"}
{"STANDARD_NAME":"HP_REDUCED_SUBCUTANEOUS_ADIPOSE_TISSUE","SYSTEMATIC_NAME":"M36403","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003758","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003758","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Reduced subcutaneous adipose tissue","DESCRIPTION_FULL":"A reduced amount of fat tissue in the lowest layer of the integument. This feature can be appreciated by a reduced skinfold thickness. []"}
{"STANDARD_NAME":"HP_CALCINOSIS","SYSTEMATIC_NAME":"M36404","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003761","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003761","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Calcinosis","DESCRIPTION_FULL":"Formation of calcium deposits in any soft tissue. [HPO:probinson]"}
{"STANDARD_NAME":"HP_UTERUS_DIDELPHYS","SYSTEMATIC_NAME":"M36405","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003762","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003762","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Uterus didelphys","DESCRIPTION_FULL":"A malformation of the uterus in which the uterus is present as a paired organ as a result of the failure of fusion of the mullerian ducts during embryogenesis. [HPO:probinson]"}
{"STANDARD_NAME":"HP_BRUXISM","SYSTEMATIC_NAME":"M36406","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003763","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003763","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Bruxism","DESCRIPTION_FULL":"Bruxism is characterized by the grinding of the teeth including the clenching of the jaw and typically occur during sleep. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_NEVUS","SYSTEMATIC_NAME":"M36407","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003764","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003764","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Nevus","DESCRIPTION_FULL":"A nevus is a type of hamartoma that is a circumscribed stable malformation of the skin. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PSORIASIFORM_DERMATITIS","SYSTEMATIC_NAME":"M36408","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003765","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003765","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Psoriasiform dermatitis","DESCRIPTION_FULL":"A skin abnormality characterized by redness and irritation, with thick, red skin that displays flaky, silver-white patches (scales). [HPO:probinson]"}
{"STANDARD_NAME":"HP_PERIODIC_PARALYSIS","SYSTEMATIC_NAME":"M36409","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003768","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003768","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Periodic paralysis","DESCRIPTION_FULL":"Episodes of muscle weakness. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PULP_STONES","SYSTEMATIC_NAME":"M41290","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003771","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003771","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pulp stones","DESCRIPTION_FULL":"Multiple punctate calcifications in the dental pulp. [HPO:ibailleulforestier]"}
{"STANDARD_NAME":"HP_STAGE_5_CHRONIC_KIDNEY_DISEASE","SYSTEMATIC_NAME":"M36410","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003774","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003774","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Stage 5 chronic kidney disease","DESCRIPTION_FULL":"A degree of kidney failure severe enough to require dialysis or kidney transplantation for survival characterized by a severe reduction in glomerular filtration rate (less than 15 ml/min/1.73 m2) and other manifestations including increased serum creatinine. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PILI_TORTI","SYSTEMATIC_NAME":"M36411","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003777","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003777","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pili torti","DESCRIPTION_FULL":"Pili (from Latin pilus, hair) torti (from Latin tortus, twisted) refers to short and brittle hairs that appear flattened and twisted when viewed through a microscope. [HPO:probinson]"}
{"STANDARD_NAME":"HP_EXCESSIVE_SALIVATION","SYSTEMATIC_NAME":"M36412","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003781","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003781","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Excessive salivation","DESCRIPTION_FULL":"Excessive production of saliva. [HPO:probinson]"}
{"STANDARD_NAME":"HP_EUNUCHOID_HABITUS","SYSTEMATIC_NAME":"M36413","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003782","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003782","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Eunuchoid habitus","DESCRIPTION_FULL":"A body habitus that is tall, slim and underweight, with long legs and long arms (i.e., arm span exceeds height by 5 cm or more). [HPO:probinson]"}
{"STANDARD_NAME":"HP_DECREASED_CSF_HOMOVANILLIC_ACID","SYSTEMATIC_NAME":"M36414","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003785","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003785","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased CSF homovanillic acid","DESCRIPTION_FULL":"Decreased concentration of homovanillic acid (HVA) in the cerebrospinal fluid. HVA is a metabolite of dopamine. [KI:phemming, PMID:12615172]"}
{"STANDARD_NAME":"HP_MINICORE_MYOPATHY","SYSTEMATIC_NAME":"M36415","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003789","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003789","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Minicore myopathy","DESCRIPTION_FULL":"Multiple small zones of sarcomeric disorganization and lack of oxidative activity (known as minicores) in muscle fibers. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DEPOSITS_IMMUNOREACTIVE_TO_BETA_AMYLOID_PROTEIN","SYSTEMATIC_NAME":"M36416","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003791","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003791","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Deposits immunoreactive to beta-amyloid protein"}
{"STANDARD_NAME":"HP_SHORT_MIDDLE_PHALANX_OF_TOE","SYSTEMATIC_NAME":"M36417","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003795","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003795","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Short middle phalanx of toe","DESCRIPTION_FULL":"Developmental hypoplasia (shortening) of middle phalanx of toe. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LIMB_GIRDLE_MUSCLE_ATROPHY","SYSTEMATIC_NAME":"M36418","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003797","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003797","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Limb-girdle muscle atrophy","DESCRIPTION_FULL":"Muscular atrophy affecting the muscles of the limb girdle. [HPO:curators]"}
{"STANDARD_NAME":"HP_NEMALINE_BODIES","SYSTEMATIC_NAME":"M36419","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003798","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003798","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Nemaline bodies","DESCRIPTION_FULL":"Nemaline rods are abnormal bodies that can occur in skeletal muscle fibers. The rods can be observed on histological analysis of muscle biopsy tissue or upon electron microscopy, where they appear either as extensions of sarcomeric Z-lines, in random array without obvious attachment to Z-lines (often in areas devoid of sarcomeres) or in large clusters localized at the sarcolemma or intermyofibrillar spaces. [HPO:curators, PMID:11333380]"}
{"STANDARD_NAME":"HP_MUSCLE_ABNORMALITY_RELATED_TO_MITOCHONDRIAL_DYSFUNCTION","SYSTEMATIC_NAME":"M36420","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003800","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003800","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Muscle abnormality related to mitochondrial dysfunction"}
{"STANDARD_NAME":"HP_TYPE_1_MUSCLE_FIBER_PREDOMINANCE","SYSTEMATIC_NAME":"M36421","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003803","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003803","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Type 1 muscle fiber predominance","DESCRIPTION_FULL":"An abnormal predominance of type I muscle fibers (in general, this feature can only be observed on muscle biopsy). [HPO:probinson]"}
{"STANDARD_NAME":"HP_RIMMED_VACUOLES","SYSTEMATIC_NAME":"M36422","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003805","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003805","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Rimmed vacuoles","DESCRIPTION_FULL":"Presence of abnormal vacuoles (membrane-bound organelles) in the sarcolemma. On histological staining with hematoxylin and eosin, rimmed vacuoles are popcorn-like clear vacuoles with a densely blue rim. The vacuoles are often associated with cytoplasmic and occasionally intranuclear eosinophilic inclusions. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NEONATAL_DEATH","SYSTEMATIC_NAME":"M36423","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003811","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003811","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neonatal death","DESCRIPTION_FULL":"Death within the first 28 days of life. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PHENOTYPIC_VARIABILITY","SYSTEMATIC_NAME":"M36424","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003812","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003812","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Phenotypic variability","DESCRIPTION_FULL":"A variability of phenotypic features. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DEATH_IN_CHILDHOOD","SYSTEMATIC_NAME":"M36425","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003819","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003819","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Death in childhood","DESCRIPTION_FULL":"Death in during childhood, defined here as between the ages of 2 and 10 years. [HPO:probinson]"}
{"STANDARD_NAME":"HP_STILLBIRTH","SYSTEMATIC_NAME":"M36426","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003826","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003826","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Stillbirth","DESCRIPTION_FULL":"Death of the fetus in utero after at least 20 weeks of gestation. [HPO:probinson]"}
{"STANDARD_NAME":"HP_VARIABLE_EXPRESSIVITY","SYSTEMATIC_NAME":"M36427","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003828","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003828","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Variable expressivity","DESCRIPTION_FULL":"A variable severity of phenotypic features. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INCOMPLETE_PENETRANCE","SYSTEMATIC_NAME":"M36428","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003829","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003829","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Incomplete penetrance","DESCRIPTION_FULL":"A situation in which mutation carriers do not show clinically evident phenotypic abnormalities. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SHOULDER_DISLOCATION","SYSTEMATIC_NAME":"M36429","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003834","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003834","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Shoulder dislocation","DESCRIPTION_FULL":"A displacement or misalignment of the humerus with respect to the other bones of the should joint. Note that a subluxation is a partial dislocation. [HPO:curators]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_UPPER_LIMB_EPIPHYSIS_MORPHOLOGY","SYSTEMATIC_NAME":"M36430","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003839","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003839","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of upper limb epiphysis morphology"}
{"STANDARD_NAME":"HP_ABSENT_FOREARM_BONE","SYSTEMATIC_NAME":"M36431","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003953","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003953","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Absent forearm bone","DESCRIPTION_FULL":"Absence of one or more forearm bones associated with congenital failure of development. [HPO:probinson]"}
{"STANDARD_NAME":"HP_APLASIA_OF_THE_ULNA","SYSTEMATIC_NAME":"M36432","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003982","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003982","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia of the ulna","DESCRIPTION_FULL":"Missing ulna bone associated with congenital failure of development. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_RADIAL_HEAD","SYSTEMATIC_NAME":"M36433","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003995","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003995","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the radial head"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_RADIAL_EPIPHYSES","SYSTEMATIC_NAME":"M41291","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0003999","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0003999","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of radial epiphyses"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_ULNAR_METAPHYSIS","SYSTEMATIC_NAME":"M41292","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004039","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004039","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of ulnar metaphysis"}
{"STANDARD_NAME":"HP_ABSENT_HAND","SYSTEMATIC_NAME":"M36434","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004050","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004050","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Absent hand","DESCRIPTION_FULL":"The total absence of the hand, with no bony elements distal to the radius or ulna. [PMID:19125433]"}
{"STANDARD_NAME":"HP_SCLEROSIS_OF_HAND_BONE","SYSTEMATIC_NAME":"M36435","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004054","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004054","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Sclerosis of hand bone","DESCRIPTION_FULL":"Osteosclerosis affecting one or more bones of the hand. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MITTEN_DEFORMITY","SYSTEMATIC_NAME":"M36436","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004057","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004057","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Mitten deformity","DESCRIPTION_FULL":"Fusion of the hands and feet by a thin membrane of skin (scarring) seen in forms of dystrophic epidermolysis bullosa and leading to a \\mitten\\ hand deformity. [HPO:probinson, PMID:20301304]"}
{"STANDARD_NAME":"HP_MACRODACTYLY","SYSTEMATIC_NAME":"M36437","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004099","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004099","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Macrodactyly","DESCRIPTION_FULL":"Significant increase in the length and girth of most or all of a digit compared to its contralateral digit (if unaffected) or compared to what would be expected for age/body build. The increased girth is accompanied by an increase in the dorso-ventral dimension AND the lateral dimension of the digit. [PMID:19125433]"}
{"STANDARD_NAME":"HP_ABNORMAL_2ND_FINGER_MORPHOLOGY","SYSTEMATIC_NAME":"M36438","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004100","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004100","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal 2nd finger morphology","DESCRIPTION_FULL":"An anomaly of the second finger, also known as the index finger. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MIDLINE_DEFECT_OF_THE_NOSE","SYSTEMATIC_NAME":"M36439","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004122","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004122","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Midline defect of the nose","DESCRIPTION_FULL":"This term groups together three conditions that presumably represent different degrees of severity of a midline defect of the nose or nasal tip. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_ABNORMAL_3RD_FINGER_MORPHOLOGY","SYSTEMATIC_NAME":"M36440","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004150","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004150","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal 3rd finger morphology","DESCRIPTION_FULL":"An anomaly of the third finger. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_4TH_FINGER_MORPHOLOGY","SYSTEMATIC_NAME":"M36441","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004188","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004188","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal 4th finger morphology"}
{"STANDARD_NAME":"HP_ABNORMAL_5TH_FINGER_MORPHOLOGY","SYSTEMATIC_NAME":"M36442","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004207","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004207","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal 5th finger morphology","DESCRIPTION_FULL":"An abnormality affecting one or both 5th fingers. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_ABNORMAL_5TH_FINGER_PHALANX_MORPHOLOGY","SYSTEMATIC_NAME":"M36443","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004213","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004213","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal 5th finger phalanx morphology","DESCRIPTION_FULL":"Abnormality of the phalanges of the 5th (little) finger. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_MIDDLE_PHALANX_OF_THE_5TH_FINGER","SYSTEMATIC_NAME":"M36444","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004219","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004219","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the middle phalanx of the 5th finger"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_DISTAL_PHALANX_OF_THE_5TH_FINGER","SYSTEMATIC_NAME":"M36445","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004225","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004225","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the distal phalanx of the 5th finger","DESCRIPTION_FULL":"Abnormality of the distal phalanx of the 5th (little) finger. [HPO:curators]"}
{"STANDARD_NAME":"HP_ADVANCED_OSSIFICATION_OF_CARPAL_BONES","SYSTEMATIC_NAME":"M36446","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004233","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004233","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Advanced ossification of carpal bones","DESCRIPTION_FULL":"Ossification of carpal bones at an abnormally early age. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DUPLICATION_OF_HAND_BONES","SYSTEMATIC_NAME":"M36447","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004275","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004275","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Duplication of hand bones"}
{"STANDARD_NAME":"HP_SYNOSTOSIS_INVOLVING_BONES_OF_THE_HAND","SYSTEMATIC_NAME":"M36448","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004278","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004278","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Synostosis involving bones of the hand","DESCRIPTION_FULL":"An abnormal union between bones or parts of bones of the hand. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_SHORT_PALM","SYSTEMATIC_NAME":"M36449","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004279","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004279","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Short palm","DESCRIPTION_FULL":"Short palm. [HPO:probinson, PMID:19125433]"}
{"STANDARD_NAME":"HP_NARROW_PALM","SYSTEMATIC_NAME":"M36450","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004283","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004283","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Narrow palm","DESCRIPTION_FULL":"For children from birth to 4 years of age, the palm width is more than 2 SD below the mean; for children from 4 to 16 years of age the palm width is below the 5th centile; or, the width of the palm appears disproportionately narrow for its length. [PMID:19125433]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_GASTRIC_MUCOSA","SYSTEMATIC_NAME":"M36451","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004295","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004295","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the gastric mucosa","DESCRIPTION_FULL":"An abnormality of the gastric mucous membrane. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_BILIARY_SYSTEM","SYSTEMATIC_NAME":"M36452","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004297","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004297","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the biliary system","DESCRIPTION_FULL":"An abnormality of the biliary system. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_ABDOMINAL_WALL","SYSTEMATIC_NAME":"M36453","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004298","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004298","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the abdominal wall","DESCRIPTION_FULL":"The presence of any abnormality affecting the abdominal wall. [HPO:probinson]"}
{"STANDARD_NAME":"HP_FUNCTIONAL_MOTOR_DEFICIT","SYSTEMATIC_NAME":"M36454","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004302","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004302","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Functional motor deficit"}
{"STANDARD_NAME":"HP_ABNORMAL_MUSCLE_FIBER_MORPHOLOGY","SYSTEMATIC_NAME":"M36455","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004303","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004303","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal muscle fiber morphology","DESCRIPTION_FULL":"Any abnormality of the skeletal muscle cell. Muscle fibers are subdivided into two types. Type I fibers are fatigue-resistant and rich in oxidative enzymes (they stain light with the myosin ATPase reaction), and type II fibers are fast-contracting, fatigue-prone, and rich in glycolytic enzymes (these fibers stain darkly). Normal muscle tissue has a random distribution of type I and type II fibers. [HPO:probinson, PMID:22938878]"}
{"STANDARD_NAME":"HP_INVOLUNTARY_MOVEMENTS","SYSTEMATIC_NAME":"M36456","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004305","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004305","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Involuntary movements","DESCRIPTION_FULL":"Involuntary contractions of muscle leading to involuntary movements of extremities, neck, trunk, or face. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_ENDOCARDIUM_MORPHOLOGY","SYSTEMATIC_NAME":"M36457","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004306","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004306","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal endocardium morphology","DESCRIPTION_FULL":"An abnormality of the endocardium. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_ANATOMIC_LOCATION_OF_THE_HEART","SYSTEMATIC_NAME":"M36458","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004307","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004307","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal anatomic location of the heart","DESCRIPTION_FULL":"Thickening of the left ventricle wall with congenital onset. [PMID:154915]"}
{"STANDARD_NAME":"HP_VENTRICULAR_ARRHYTHMIA","SYSTEMATIC_NAME":"M36459","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004308","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004308","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ventricular arrhythmia"}
{"STANDARD_NAME":"HP_VENTRICULAR_PREEXCITATION","SYSTEMATIC_NAME":"M36460","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004309","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004309","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ventricular preexcitation","DESCRIPTION_FULL":"An abnormality in which the cardiac ventricles depolarize too early as a result of an abnormality of cardiac conduction pathways such as an accessory pathway. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_MACROPHAGE_MORPHOLOGY","SYSTEMATIC_NAME":"M36461","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004311","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004311","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal macrophage morphology","DESCRIPTION_FULL":"An abnormality of macrophages. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_RETICULOCYTE_MORPHOLOGY","SYSTEMATIC_NAME":"M36462","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004312","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004312","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal reticulocyte morphology","DESCRIPTION_FULL":"A reticulocyte abnormality. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DECREASED_CIRCULATING_ANTIBODY_LEVEL","SYSTEMATIC_NAME":"M36463","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004313","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004313","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased circulating antibody level","DESCRIPTION_FULL":"An abnormally decreased level of immunoglobulin in blood. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DECREASED_CIRCULATING_IGG_LEVEL","SYSTEMATIC_NAME":"M41293","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004315","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004315","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased circulating IgG level","DESCRIPTION_FULL":"An abnormally decreased level of immunoglobulin G (IgG) in blood. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DECREASED_CIRCULATING_ALDOSTERONE_LEVEL","SYSTEMATIC_NAME":"M36464","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004319","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004319","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased circulating aldosterone level","DESCRIPTION_FULL":"Abnormally reduced levels of aldosterone. [DDD:spark, HPO:probinson]"}
{"STANDARD_NAME":"HP_VAGINAL_FISTULA","SYSTEMATIC_NAME":"M36465","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004320","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004320","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Vaginal fistula","DESCRIPTION_FULL":"The presence of a fistula of the vagina. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INCREASED_BODY_WEIGHT","SYSTEMATIC_NAME":"M36467","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004324","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004324","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased body weight","DESCRIPTION_FULL":"Abnormally increased body weight. []"}
{"STANDARD_NAME":"HP_DECREASED_BODY_WEIGHT","SYSTEMATIC_NAME":"M36468","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004325","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004325","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased body weight","DESCRIPTION_FULL":"Abnormally low body weight. []"}
{"STANDARD_NAME":"HP_CACHEXIA","SYSTEMATIC_NAME":"M36469","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004326","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004326","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cachexia","DESCRIPTION_FULL":"Severe weight loss, wasting of muscle, loss of appetite, and general debility related to a chronic disease. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_VITREOUS_HUMOR_MORPHOLOGY","SYSTEMATIC_NAME":"M36470","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004327","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004327","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal vitreous humor morphology","DESCRIPTION_FULL":"Any structural anomaly of the vitreous body. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_ANTERIOR_EYE_SEGMENT_MORPHOLOGY","SYSTEMATIC_NAME":"M36471","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004328","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004328","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal anterior eye segment morphology","DESCRIPTION_FULL":"An abnormality of the anterior segment of the eyeball (which comprises the structures in front of the vitreous humour: the cornea, iris, ciliary body, and lens). [HPO:probinson]"}
{"STANDARD_NAME":"HP_INCREASED_SKULL_OSSIFICATION","SYSTEMATIC_NAME":"M36472","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004330","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004330","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased skull ossification","DESCRIPTION_FULL":"An increase in the magnitude or amount of ossification of the skull. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DECREASED_SKULL_OSSIFICATION","SYSTEMATIC_NAME":"M36473","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004331","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004331","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased skull ossification","DESCRIPTION_FULL":"A reduction in the magnitude or amount of ossification of the skull. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_LYMPHOCYTE_MORPHOLOGY","SYSTEMATIC_NAME":"M36474","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004332","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004332","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal lymphocyte morphology","DESCRIPTION_FULL":"An abnormality of lymphocytes. [HPO:probinson]"}
{"STANDARD_NAME":"HP_BONE_MARROW_FOAM_CELLS","SYSTEMATIC_NAME":"M36475","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004333","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004333","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Bone-marrow foam cells","DESCRIPTION_FULL":"The presence of foam cells in the bone marrow, generally demonstrated by bone-marrow aspiration or biopsy. Foam cells have a vacuolated appearance due to the presence of complex lipid deposits, giving them a foamy or soap-suds appearance. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DERMAL_ATROPHY","SYSTEMATIC_NAME":"M36476","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004334","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004334","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Dermal atrophy","DESCRIPTION_FULL":"Partial or complete wasting (atrophy) of the skin. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_AMINO_ACID_METABOLISM","SYSTEMATIC_NAME":"M36477","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004337","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004337","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of amino acid metabolism","DESCRIPTION_FULL":"Abnormality of an amino acid metabolic process. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_CIRCULATING_AROMATIC_AMINO_ACID_CONCENTRATION","SYSTEMATIC_NAME":"M36478","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004338","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004338","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal circulating aromatic amino acid concentration","DESCRIPTION_FULL":"Any deviation from the normal concentration of a aromatic amino acid in the blood circulation. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_CIRCULATING_SULFUR_AMINO_ACID_CONCENTRATION","SYSTEMATIC_NAME":"M36479","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004339","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004339","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal circulating sulfur amino acid concentration","DESCRIPTION_FULL":"Any deviation from the normal concentration of a sulfur amino acid in the blood circulation. [HPO:gcarletti]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_VITAMIN_B_METABOLISM","SYSTEMATIC_NAME":"M36480","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004340","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004340","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of vitamin B metabolism"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_VITAMIN_B12_METABOLISM","SYSTEMATIC_NAME":"M36481","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004341","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004341","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of vitamin B12 metabolism"}
{"STANDARD_NAME":"HP_ABNORMAL_GLYCOSPHINGOLIPID_METABOLISM","SYSTEMATIC_NAME":"M36482","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004343","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004343","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal glycosphingolipid metabolism","DESCRIPTION_FULL":"An abnormality of glycosphingolipid metabolism. [HPO:probinson]"}
{"STANDARD_NAME":"HP_WEAKNESS_OF_MUSCLES_OF_RESPIRATION","SYSTEMATIC_NAME":"M36483","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004347","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004347","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Weakness of muscles of respiration","DESCRIPTION_FULL":"Reduced function of the muscles required to generate subatmospheric pressure in the thoracic cavity during breathing: the diaphragm, the external intercostal and the interchondral part of the internal intercostal muscles. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_BONE_MINERAL_DENSITY","SYSTEMATIC_NAME":"M36484","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004348","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004348","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of bone mineral density","DESCRIPTION_FULL":"This term applies to all changes in bone mineral density which (depending on severity) can be seen on x-rays as a change in density and or structure of the bone. Changes may affect all bones of the organism, just certain bones or only parts of bones and include decreased mineralisation as may be seen in osteoporosis or increased mineralisation and or ossification as in osteopetrosis, exostoses or any kind of atopic calicfications of different origin and distribution. The overall amount of mineralization of the bone-organ can be measured as the amount of matter per cubic centimeter of bones, usually measured by densitometry of the lumbar spine or hip. The measurements are usually reported as g/cm3 or as a Z-score (the number of standard deviations above or below the mean for the patient's age and sex). Note that measurement with this method does not reflect local changes in other bones, and as such might not be correct with regard the hole bone-organ. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_CIRCULATING_CARBOXYLIC_ACID_CONCENTRATION","SYSTEMATIC_NAME":"M36486","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004354","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004354","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal circulating carboxylic acid concentration","DESCRIPTION_FULL":"Any deviation from the normal concentration of a carboxylic acid in the blood circulation. [HPO:gcarletti]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_LYSOSOMAL_METABOLISM","SYSTEMATIC_NAME":"M36487","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004356","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004356","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of lysosomal metabolism"}
{"STANDARD_NAME":"HP_ABNORMAL_CIRCULATING_FATTY_ACID_CONCENTRATION","SYSTEMATIC_NAME":"M36488","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004359","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004359","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal circulating fatty-acid concentration","DESCRIPTION_FULL":"A deviation from the normal concentration of a fatty acid in the blood circulation. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_ACID_BASE_HOMEOSTASIS","SYSTEMATIC_NAME":"M36489","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004360","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004360","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of acid-base homeostasis","DESCRIPTION_FULL":"An abnormality of the balance or maintenance of the balance of acids and bases in bodily fluids, resulting in an abnormal pH. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_CIRCULATING_LEPTIN_LEVEL","SYSTEMATIC_NAME":"M36490","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004361","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004361","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of circulating leptin level","DESCRIPTION_FULL":"An abnormal concentration of leptin in the blood. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_CIRCULATING_NITROGEN_COMPOUND_CONCENTRATION","SYSTEMATIC_NAME":"M36491","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004364","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004364","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal circulating nitrogen compound concentration","DESCRIPTION_FULL":"Any deviation from the normal concentration of a nitrogen compound in the blood circulation. [HPO:gcarletti]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_TEMPERATURE_REGULATION","SYSTEMATIC_NAME":"M36493","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004370","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004370","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of temperature regulation","DESCRIPTION_FULL":"An abnormality of temperature homeostasis. [HPO:probinson]"}
{"STANDARD_NAME":"HP_REDUCED_CONSCIOUSNESS_CONFUSION","SYSTEMATIC_NAME":"M36494","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004372","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004372","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Reduced consciousness/confusion"}
{"STANDARD_NAME":"HP_FOCAL_DYSTONIA","SYSTEMATIC_NAME":"M36495","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004373","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004373","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Focal dystonia","DESCRIPTION_FULL":"A type of dystonia that is localized to a specific part of the body. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HEMIPLEGIA_HEMIPARESIS","SYSTEMATIC_NAME":"M36496","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004374","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004374","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hemiplegia/hemiparesis","DESCRIPTION_FULL":"Loss of strength in the arm, leg, and sometimes face on one side of the body. Hemiplegia refers to a severe or complete loss of strength, whereas hemiparesis refers to a relatively mild loss of strength. [HPO:curators]"}
{"STANDARD_NAME":"HP_NEOPLASM_OF_THE_NERVOUS_SYSTEM","SYSTEMATIC_NAME":"M36497","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004375","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004375","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neoplasm of the nervous system","DESCRIPTION_FULL":"A tumor (abnormal growth of tissue) of the nervous system. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HEMATOLOGICAL_NEOPLASM","SYSTEMATIC_NAME":"M36498","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004377","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004377","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hematological neoplasm","DESCRIPTION_FULL":"Neoplasms located in the blood and blood-forming tissue (the bone marrow and lymphatic tissue). [http://www.ncbi.nlm.nih.gov/mesh?term=Hematologic%20Neoplasms]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_ANUS","SYSTEMATIC_NAME":"M36499","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004378","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004378","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the anus","DESCRIPTION_FULL":"Abnormality of the anal canal. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_ALKALINE_PHOSPHATASE_LEVEL","SYSTEMATIC_NAME":"M36500","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004379","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004379","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of alkaline phosphatase level","DESCRIPTION_FULL":"An abnormality of alkaline phosphatase level. [HPO:probinson]"}
{"STANDARD_NAME":"HP_AORTIC_VALVE_CALCIFICATION","SYSTEMATIC_NAME":"M41294","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004380","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004380","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aortic valve calcification","DESCRIPTION_FULL":"Deposition of calcium salts in the aortic valve. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SUPRAVALVULAR_AORTIC_STENOSIS","SYSTEMATIC_NAME":"M36501","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004381","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004381","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Supravalvular aortic stenosis","DESCRIPTION_FULL":"A pathological narrowing in the region above the aortic valve associated with restricted left ventricular outflow. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MITRAL_VALVE_CALCIFICATION","SYSTEMATIC_NAME":"M36502","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004382","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004382","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Mitral valve calcification","DESCRIPTION_FULL":"Abnormal calcification of the mitral valve. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PROTRACTED_DIARRHEA","SYSTEMATIC_NAME":"M36503","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004385","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004385","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Protracted diarrhea"}
{"STANDARD_NAME":"HP_GASTROINTESTINAL_INFLAMMATION","SYSTEMATIC_NAME":"M36504","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004386","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004386","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Gastrointestinal inflammation","DESCRIPTION_FULL":"Inflammation of the alimentary part of the gastrointestinal system. []"}
{"STANDARD_NAME":"HP_ENTEROCOLITIS","SYSTEMATIC_NAME":"M41295","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004387","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004387","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Enterocolitis","DESCRIPTION_FULL":"An inflammation of the colon and small intestine. However, most conditions are either categorized as Enteritis (inflammation of the small intestine) or Colitis (inflammation of the large intestine). [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_INTESTINAL_PSEUDO_OBSTRUCTION","SYSTEMATIC_NAME":"M36505","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004389","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004389","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Intestinal pseudo-obstruction","DESCRIPTION_FULL":"A functional rather than mechanical obstruction of the intestines, associated with manifestations that resemble those caused by an intestinal obstruction, including distension, abdominal pain, nausea, vomiting, constipation or diarrhea, in an individual in whom a mechanical blockage has been excluded. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HAMARTOMATOUS_POLYPOSIS","SYSTEMATIC_NAME":"M36506","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004390","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004390","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hamartomatous polyposis","DESCRIPTION_FULL":"Polyp-like protrusions which are histologically hamartomas. These can occur throughout the gastrointestinal tract. Hamartomatous polyps are composed of the normal cellular elements of the gastrointestinal tract, but have a markedly distorted architecture. [HPO:sdoelken, PMID:17768394]"}
{"STANDARD_NAME":"HP_MULTIPLE_GASTRIC_POLYPS","SYSTEMATIC_NAME":"M36507","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004394","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004394","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Multiple gastric polyps"}
{"STANDARD_NAME":"HP_MALNUTRITION","SYSTEMATIC_NAME":"M36508","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004395","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004395","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Malnutrition"}
{"STANDARD_NAME":"HP_POOR_APPETITE","SYSTEMATIC_NAME":"M36509","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004396","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004396","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Poor appetite"}
{"STANDARD_NAME":"HP_ECTOPIC_ANUS","SYSTEMATIC_NAME":"M36510","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004397","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004397","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ectopic anus","DESCRIPTION_FULL":"Abnormal displacement or malposition of the anus. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PEPTIC_ULCER","SYSTEMATIC_NAME":"M36511","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004398","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004398","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Peptic ulcer","DESCRIPTION_FULL":"An ulcer of the gastrointestinal tract. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_PYLORUS","SYSTEMATIC_NAME":"M36512","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004400","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004400","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the pylorus","DESCRIPTION_FULL":"An abnormality of the pylorus. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_NIPPLE_MORPHOLOGY","SYSTEMATIC_NAME":"M36513","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004404","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004404","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal nipple morphology","DESCRIPTION_FULL":"An abnormality of the nipple. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SPONTANEOUS_RECURRENT_EPISTAXIS","SYSTEMATIC_NAME":"M36514","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004406","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004406","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Spontaneous, recurrent epistaxis"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_SENSE_OF_SMELL","SYSTEMATIC_NAME":"M36515","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004408","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004408","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the sense of smell","DESCRIPTION_FULL":"An anomaly in the ability to perceive and distinguish scents (odors). []"}
{"STANDARD_NAME":"HP_HYPOSMIA","SYSTEMATIC_NAME":"M36516","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004409","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004409","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hyposmia","DESCRIPTION_FULL":"A decreased sensitivity to odorants (that is, a decreased ability to perceive odors). [HPO:probinson]"}
{"STANDARD_NAME":"HP_DEVIATED_NASAL_SEPTUM","SYSTEMATIC_NAME":"M36517","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004411","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004411","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Deviated nasal septum","DESCRIPTION_FULL":"Positioning of the nasal septum to the right or left in contrast to the normal midline position of the nasal septum. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_PULMONARY_ARTERY","SYSTEMATIC_NAME":"M36518","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004414","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004414","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the pulmonary artery","DESCRIPTION_FULL":"An abnormality of the pulmonary artery. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PULMONARY_ARTERY_STENOSIS","SYSTEMATIC_NAME":"M36519","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004415","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004415","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pulmonary artery stenosis","DESCRIPTION_FULL":"An abnormal narrowing or constriction of the pulmonary artery, in the main pulmonary artery and/or in the left or right pulmonary artery branches. [OCRID:0000-0002-0736-9199, PMID:30587259]"}
{"STANDARD_NAME":"HP_PRECOCIOUS_ATHEROSCLEROSIS","SYSTEMATIC_NAME":"M36520","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004416","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004416","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Precocious atherosclerosis"}
{"STANDARD_NAME":"HP_INTERMITTENT_CLAUDICATION","SYSTEMATIC_NAME":"M36521","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004417","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004417","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Intermittent claudication","DESCRIPTION_FULL":"Intermittent claudication is a symptom of peripheral arterial occlusive disease. After having walked over a distance which is individually characteristic, the patients experience pain or cramps in the calves, feet or thighs which typically subsides on standing still. [PMID:27770207]"}
{"STANDARD_NAME":"HP_THROMBOPHLEBITIS","SYSTEMATIC_NAME":"M36522","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004418","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004418","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Thrombophlebitis","DESCRIPTION_FULL":"Inflammation of a vein associated with venous thrombosis (blood clot formation within the vein). [HPO:probinson]"}
{"STANDARD_NAME":"HP_RECURRENT_THROMBOPHLEBITIS","SYSTEMATIC_NAME":"M36523","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004419","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004419","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Recurrent thrombophlebitis","DESCRIPTION_FULL":"Repeated episodes of inflammation of a vein associated with venous thrombosis (blood clot formation within the vein). [HPO:probinson]"}
{"STANDARD_NAME":"HP_ARTERIAL_THROMBOSIS","SYSTEMATIC_NAME":"M36524","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004420","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004420","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Arterial thrombosis","DESCRIPTION_FULL":"The formation of a blood clot inside an artery. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ELEVATED_SYSTOLIC_BLOOD_PRESSURE","SYSTEMATIC_NAME":"M36525","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004421","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004421","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Elevated systolic blood pressure","DESCRIPTION_FULL":"Abnormal increase in systolic blood pressure. [HPO:probinson]"}
{"STANDARD_NAME":"HP_BIPARIETAL_NARROWING","SYSTEMATIC_NAME":"M36526","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004422","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004422","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Biparietal narrowing","DESCRIPTION_FULL":"A narrowing of the biparietal diameter (i.e., of the transverse distance between the protuberances of the two parietal bones of the skull). [HPO:curators]"}
{"STANDARD_NAME":"HP_FLAT_FOREHEAD","SYSTEMATIC_NAME":"M36527","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004425","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004425","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Flat forehead","DESCRIPTION_FULL":"A forehead with abnormal flatness. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_CHEEK","SYSTEMATIC_NAME":"M36528","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004426","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004426","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the cheek","DESCRIPTION_FULL":"An abnormality of the cheek- one of two bilateral soft tissue facial structures in the region of the face inferior to the eyes and between the nose and the ear. \\Buccal\\ means relating to the cheek. The cheek is part of the midface []"}
{"STANDARD_NAME":"HP_ELFIN_FACIES","SYSTEMATIC_NAME":"M36529","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004428","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004428","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Elfin facies","DESCRIPTION_FULL":"This is a description previously used to describe a facial form characterized by a short, upturned nose, wide mouth, widely spaced eyes, and full cheeks. Because of the imprecision in this definition it is preferable to describe these features precisely. This term is retained because it was often used in the past, but it should not be used for new annotations. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RECURRENT_VIRAL_INFECTIONS","SYSTEMATIC_NAME":"M36530","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004429","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004429","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Recurrent viral infections","DESCRIPTION_FULL":"Increased susceptibility to viral infections, as manifested by recurrent episodes of viral infection. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SEVERE_COMBINED_IMMUNODEFICIENCY","SYSTEMATIC_NAME":"M41296","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004430","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004430","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Severe combined immunodeficiency","DESCRIPTION_FULL":"A combined immunodeficiency primary immune deficiency that is characterized by a more severe defect in both the T- and B-lymphocyte systems. [HPO:curators]"}
{"STANDARD_NAME":"HP_AGAMMAGLOBULINEMIA","SYSTEMATIC_NAME":"M36531","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004432","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004432","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Agammaglobulinemia","DESCRIPTION_FULL":"A lasting absence of total IgG and total IgA and total IgM in the blood circulation, whereby at most trace quantities can be measured. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CRANIAL_HYPEROSTOSIS","SYSTEMATIC_NAME":"M41297","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004437","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004437","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cranial hyperostosis","DESCRIPTION_FULL":"Excessive growth of the bones of cranium, i.e., of the skull. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CRANIOFACIAL_DYSOSTOSIS","SYSTEMATIC_NAME":"M36532","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004439","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004439","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Craniofacial dysostosis","DESCRIPTION_FULL":"A characteristic appearance resulting from defective ossification of craniofacial bones. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CORONAL_CRANIOSYNOSTOSIS","SYSTEMATIC_NAME":"M36533","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004440","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004440","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Coronal craniosynostosis","DESCRIPTION_FULL":"Premature closure of the coronal suture of skull. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SAGITTAL_CRANIOSYNOSTOSIS","SYSTEMATIC_NAME":"M36534","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004442","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004442","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Sagittal craniosynostosis","DESCRIPTION_FULL":"A kind of craniosynostosis affecting the sagittal suture. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LAMBDOIDAL_CRANIOSYNOSTOSIS","SYSTEMATIC_NAME":"M36535","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004443","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004443","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Lambdoidal craniosynostosis","DESCRIPTION_FULL":"A kind of craniosynostosis affecting the lambdoidal suture. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SPHEROCYTOSIS","SYSTEMATIC_NAME":"M36536","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004444","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004444","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Spherocytosis","DESCRIPTION_FULL":"The presence of erythrocytes that are sphere-shaped. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ELLIPTOCYTOSIS","SYSTEMATIC_NAME":"M36537","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004445","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004445","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Elliptocytosis","DESCRIPTION_FULL":"The presence of elliptical, cigar-shaped erythrocytes on peripheral blood smear. [HPO:probinson, PMID:16304353, PMID:21250106]"}
{"STANDARD_NAME":"HP_STOMATOCYTOSIS","SYSTEMATIC_NAME":"M36538","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004446","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004446","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Stomatocytosis","DESCRIPTION_FULL":"The presence of erythrocytes with a mouth-shaped (stoma) area of central pallor on peripheral blood smear. [HPO:probinson, PMID:16304353]"}
{"STANDARD_NAME":"HP_POIKILOCYTOSIS","SYSTEMATIC_NAME":"M36539","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004447","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004447","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Poikilocytosis","DESCRIPTION_FULL":"The presence of abnormally shaped erythrocytes. [HPO:probinson]"}
{"STANDARD_NAME":"HP_FULMINANT_HEPATIC_FAILURE","SYSTEMATIC_NAME":"M41298","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004448","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004448","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Fulminant hepatic failure","DESCRIPTION_FULL":"Hepatic failure refers to the inability of the liver to perform its normal synthetic and metabolic functions, which can result in coagulopathy and alteration in the mental status of a previously healthy individual. Hepatic failure is defined as fulminant if there is onset of encephalopathy within 4 weeks of the onset of symptoms in a patient with a previously healthy liver. [HPO:curators]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_MIDDLE_EAR_OSSICLES","SYSTEMATIC_NAME":"M36540","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004452","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004452","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the middle ear ossicles","DESCRIPTION_FULL":"An abnormality of the middle-ear ossicles (three small bones called malleus, incus, and stapes) that are contained within the middle ear and serve to transmit sounds from the air to the fluid-filled labyrinth (cochlea). [HPO:probinson]"}
{"STANDARD_NAME":"HP_DILATATED_INTERNAL_AUDITORY_CANAL","SYSTEMATIC_NAME":"M36541","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004458","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004458","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Dilatated internal auditory canal","DESCRIPTION_FULL":"The presence of a dilated inner part of external acoustic meatus. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABSENT_BRAINSTEM_AUDITORY_RESPONSES","SYSTEMATIC_NAME":"M41299","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004463","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004463","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Absent brainstem auditory responses","DESCRIPTION_FULL":"Lack of measurable response to stimulation of auditory evoked potentials. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CHRONIC_BRONCHITIS","SYSTEMATIC_NAME":"M41300","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004469","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004469","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Chronic bronchitis","DESCRIPTION_FULL":"Chronic inflammation of the bronchi. [HPO:probinson]"}
{"STANDARD_NAME":"HP_APLASIA_CUTIS_CONGENITA_OVER_THE_SCALP_VERTEX","SYSTEMATIC_NAME":"M36542","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004471","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004471","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia cutis congenita over the scalp vertex","DESCRIPTION_FULL":"A developmental defect resulting in the congenital absence of skin on the scalp vertex, often just lateral to the midline. [HPO:curators]"}
{"STANDARD_NAME":"HP_PROGRESSIVE_MACROCEPHALY","SYSTEMATIC_NAME":"M36543","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004481","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004481","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Progressive macrocephaly","DESCRIPTION_FULL":"The progressive development of an abnormally large skull. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RELATIVE_MACROCEPHALY","SYSTEMATIC_NAME":"M36544","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004482","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004482","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Relative macrocephaly","DESCRIPTION_FULL":"A relatively mild degree of macrocephaly in which the head circumference is not above two standard deviations from the mean, but appears dysproportionately large when other factors such as body stature are taken into account. [HPO:curators]"}
{"STANDARD_NAME":"HP_CRANIOFACIAL_ASYMMETRY","SYSTEMATIC_NAME":"M36545","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004484","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004484","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Craniofacial asymmetry","DESCRIPTION_FULL":"Asymmetry of the bones of the skull and the face. [HPO:curators]"}
{"STANDARD_NAME":"HP_CESSATION_OF_HEAD_GROWTH","SYSTEMATIC_NAME":"M36546","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004485","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004485","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cessation of head growth","DESCRIPTION_FULL":"Stagnation of head growth seen as flattening of the head circumference curve. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MACROCEPHALY_AT_BIRTH","SYSTEMATIC_NAME":"M36547","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004488","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004488","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Macrocephaly at birth","DESCRIPTION_FULL":"The presence of an abnormally large skull with onset at birth. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CALVARIAL_HYPEROSTOSIS","SYSTEMATIC_NAME":"M36548","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004490","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004490","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Calvarial hyperostosis","DESCRIPTION_FULL":"Excessive growth of the calvaria. [HPO:probinson]"}
{"STANDARD_NAME":"HP_WIDELY_PATENT_FONTANELLES_AND_SUTURES","SYSTEMATIC_NAME":"M36549","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004492","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004492","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Widely patent fontanelles and sutures","DESCRIPTION_FULL":"An abnormally increased width of the cranial fontanelles and sutures. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CRANIOFACIAL_HYPEROSTOSIS","SYSTEMATIC_NAME":"M36550","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004493","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004493","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Craniofacial hyperostosis","DESCRIPTION_FULL":"Excessive growth of the craniofacial bones. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PANCREATIC_ISLET_CELL_HYPERPLASIA","SYSTEMATIC_NAME":"M36551","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004510","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004510","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pancreatic islet-cell hyperplasia","DESCRIPTION_FULL":"Hyperplasia of the islets of Langerhans, i.e., of the regions of the pancreas that contain its endocrine cells. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SCARRING_ALOPECIA_OF_SCALP","SYSTEMATIC_NAME":"M36552","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004552","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004552","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Scarring alopecia of scalp"}
{"STANDARD_NAME":"HP_GENERALIZED_HYPERTRICHOSIS","SYSTEMATIC_NAME":"M41301","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004554","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004554","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Generalized hypertrichosis","DESCRIPTION_FULL":"Generalized excessive, abnormal hairiness. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SEVERE_PLATYSPONDYLY","SYSTEMATIC_NAME":"M36553","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004565","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004565","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Severe platyspondyly"}
{"STANDARD_NAME":"HP_BEAKING_OF_VERTEBRAL_BODIES","SYSTEMATIC_NAME":"M36554","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004568","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004568","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Beaking of vertebral bodies","DESCRIPTION_FULL":"Anterior tongue-like protrusions of the vertebral bodies. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INCREASED_VERTEBRAL_HEIGHT","SYSTEMATIC_NAME":"M36555","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004570","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004570","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased vertebral height","DESCRIPTION_FULL":"Increased top to bottom height of vertebral bodies. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SCLEROTIC_VERTEBRAL_ENDPLATES","SYSTEMATIC_NAME":"M36556","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004576","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004576","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Sclerotic vertebral endplates","DESCRIPTION_FULL":"Sclerosis (increased density) affecting vertebral end plates. [HPO:curators]"}
{"STANDARD_NAME":"HP_BICONCAVE_VERTEBRAL_BODIES","SYSTEMATIC_NAME":"M36557","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004586","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004586","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Biconcave vertebral bodies","DESCRIPTION_FULL":"Exaggerated concavity of the anterior or posterior surface of the vertebral body, i.e., the upper and lower vertebral endplates are hollowed inward. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABSENT_OR_MINIMALLY_OSSIFIED_VERTEBRAL_BODIES","SYSTEMATIC_NAME":"M36558","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004599","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004599","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Absent or minimally ossified vertebral bodies"}
{"STANDARD_NAME":"HP_CERVICAL_C2_C3_VERTEBRAL_FUSION","SYSTEMATIC_NAME":"M36559","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004602","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004602","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cervical C2/C3 vertebral fusion","DESCRIPTION_FULL":"Fusion of cervical vertebrae at C2 and C3, caused by a failure in the normal segmentation or division of the cervical vertebrae during the early weeks of fetal development, leading to a short neck with a low hairline at the back of the head, and restricted mobility of the upper spine. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LUMBAR_SCOLIOSIS","SYSTEMATIC_NAME":"M36560","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004626","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004626","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Lumbar scoliosis"}
{"STANDARD_NAME":"HP_DECREASED_CERVICAL_SPINE_FLEXION_DUE_TO_CONTRACTURES_OF_POSTERIOR_CERVICAL_MUSCLES","SYSTEMATIC_NAME":"M36561","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004631","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004631","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased cervical spine flexion due to contractures of posterior cervical muscles"}
{"STANDARD_NAME":"HP_DECREASED_CERVICAL_SPINE_MOBILITY","SYSTEMATIC_NAME":"M36562","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004637","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004637","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased cervical spine mobility"}
{"STANDARD_NAME":"HP_DECREASED_FACIAL_EXPRESSION","SYSTEMATIC_NAME":"M36563","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004673","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004673","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased facial expression","DESCRIPTION_FULL":"A reduced degree of voluntary and involuntary facial movements involved in responded to others or expressing emotions. [HPO:probinson]"}
{"STANDARD_NAME":"HP_TALIPES_VALGUS","SYSTEMATIC_NAME":"M36564","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004684","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004684","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Talipes valgus","DESCRIPTION_FULL":"Outward turning of the heel, resulting in clubfoot with the person walking on the inner part of the foot. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SHORT_FOURTH_METATARSAL","SYSTEMATIC_NAME":"M36565","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004689","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004689","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Short fourth metatarsal","DESCRIPTION_FULL":"Short fourth metatarsal bone. [HPO:probinson]"}
{"STANDARD_NAME":"HP_2_3_TOE_SYNDACTYLY","SYSTEMATIC_NAME":"M36566","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004691","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004691","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"2-3 toe syndactyly","DESCRIPTION_FULL":"Syndactyly with fusion of toes two and three. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_4_5_TOE_SYNDACTYLY","SYSTEMATIC_NAME":"M36567","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004692","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004692","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"4-5 toe syndactyly","DESCRIPTION_FULL":"Syndactyly with fusion of toes four and five. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_RENAL_MALROTATION","SYSTEMATIC_NAME":"M36568","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004712","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004712","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Renal malrotation","DESCRIPTION_FULL":"An abnormality of the normal developmental rotation of the kidney leading to an abnormal orientation of the kidney. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CALCIUM_NEPHROLITHIASIS","SYSTEMATIC_NAME":"M36571","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004724","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004724","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Calcium nephrolithiasis","DESCRIPTION_FULL":"The presence of calcium-containing calculi (stones) in the kidneys. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RENAL_CORTICAL_MICROCYSTS","SYSTEMATIC_NAME":"M36572","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004734","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004734","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Renal cortical microcysts","DESCRIPTION_FULL":"Cysts of microscopic size confined to the cortex of the kidney. [Eurenomics:ewuehl]"}
{"STANDARD_NAME":"HP_CROSSED_FUSED_RENAL_ECTOPIA","SYSTEMATIC_NAME":"M36573","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004736","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004736","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Crossed fused renal ectopia","DESCRIPTION_FULL":"A developmental anomaly in which the kidneys are fused and localized on the same side of the midline. This anomaly is thought to result from disruption of the normal embryologic migration of the kidneys. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_RENAL_COLLECTING_SYSTEM_MORPHOLOGY","SYSTEMATIC_NAME":"M36574","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004742","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004742","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal renal collecting system morphology","DESCRIPTION_FULL":"An abnormality of the renal collecting system. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ATRIAL_FLUTTER","SYSTEMATIC_NAME":"M36575","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004749","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004749","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Atrial flutter","DESCRIPTION_FULL":"A type of atrial arrhythmia characterized by atrial rates of between 240 and 400 beats per minute and some degree of atrioventricular node conduction block. Typically, the ventricular rate is half the atrial rate. In the EKG; atrial flutter waves are observed as sawtooth-like atrial activity. Pathophysiologically, atrial flutter is a form of atrial reentry in which there is a premature electrical impulse creates a self-propagating circuit. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PAROXYSMAL_VENTRICULAR_TACHYCARDIA","SYSTEMATIC_NAME":"M36576","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004751","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004751","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Paroxysmal ventricular tachycardia","DESCRIPTION_FULL":"Episodes of ventricular tachycardia that have a sudden onset and ending. []"}
{"STANDARD_NAME":"HP_SUPRAVENTRICULAR_TACHYCARDIA","SYSTEMATIC_NAME":"M36577","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004755","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004755","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Supraventricular tachycardia","DESCRIPTION_FULL":"Supraventricular tachycardia (SVT) is an abnormally increased heart rate (over 100 beats per minute at rest) with origin above the level of the ventricles. [DDD:dbrown, HPO:probinson]"}
{"STANDARD_NAME":"HP_VENTRICULAR_TACHYCARDIA","SYSTEMATIC_NAME":"M36578","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004756","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004756","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ventricular tachycardia","DESCRIPTION_FULL":"A tachycardia originating in the ventricles characterized by rapid heart rate (over 100 beats per minute) and broad QRS complexes (over 120 ms). []"}
{"STANDARD_NAME":"HP_PAROXYSMAL_ATRIAL_FIBRILLATION","SYSTEMATIC_NAME":"M36579","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004757","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004757","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Paroxysmal atrial fibrillation","DESCRIPTION_FULL":"Episodes of atrial fibrillation that typically last for several hours up to one day and terminate spontaneously. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PAROXYSMAL_SUPRAVENTRICULAR_TACHYCARDIA","SYSTEMATIC_NAME":"M36580","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004763","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004763","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Paroxysmal supraventricular tachycardia","DESCRIPTION_FULL":"An episodic form of supraventricular tachycardia with abrupt onset and termination. [PMID:18025404]"}
{"STANDARD_NAME":"HP_ESOPHAGEAL_ULCERATION","SYSTEMATIC_NAME":"M36581","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004791","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004791","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Esophageal ulceration","DESCRIPTION_FULL":"Defect in the epithelium of the esophagus, essentially an open sore in the lining of the esophagus. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MALROTATION_OF_SMALL_BOWEL","SYSTEMATIC_NAME":"M36582","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004794","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004794","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Malrotation of small bowel","DESCRIPTION_FULL":"A deviation from the normal rotation of the midgut during embryologic development with mislocalization of the small bowel. [HPO:probinson]"}
{"STANDARD_NAME":"HP_GASTROINTESTINAL_OBSTRUCTION","SYSTEMATIC_NAME":"M36583","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004796","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004796","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Gastrointestinal obstruction"}
{"STANDARD_NAME":"HP_RECURRENT_INFECTION_OF_THE_GASTROINTESTINAL_TRACT","SYSTEMATIC_NAME":"M36584","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004798","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004798","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Recurrent infection of the gastrointestinal tract","DESCRIPTION_FULL":"Recurrent infection of the gastrointestinal tract. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CONGENITAL_HEMOLYTIC_ANEMIA","SYSTEMATIC_NAME":"M36585","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004804","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004804","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Congenital hemolytic anemia","DESCRIPTION_FULL":"A form of hemolytic anemia with congenital onset. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ACUTE_MYELOID_LEUKEMIA","SYSTEMATIC_NAME":"M36586","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004808","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004808","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Acute myeloid leukemia","DESCRIPTION_FULL":"A form of leukemia characterized by overproduction of an early myeloid cell. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NEONATAL_ALLOIMMUNE_THROMBOCYTOPENIA","SYSTEMATIC_NAME":"M36587","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004809","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004809","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neonatal alloimmune thrombocytopenia","DESCRIPTION_FULL":"Low platelet count associated with maternal platelet-specific alloantibodies. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ANISOPOIKILOCYTOSIS","SYSTEMATIC_NAME":"M36588","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004823","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004823","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Anisopoikilocytosis","DESCRIPTION_FULL":"A type of poikilocytosis characterized by the presence in the blood of erythrocytes of varying sizes and abnormal shapes. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPOCHROMIC_MICROCYTIC_ANEMIA","SYSTEMATIC_NAME":"M36589","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004840","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004840","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypochromic microcytic anemia","DESCRIPTION_FULL":"A type of anemia characterized by an abnormally low concentration of hemoglobin in the erythrocytes and lower than normal size of the erythrocytes. [HPO:probinson]"}
{"STANDARD_NAME":"HP_REDUCED_FACTOR_XII_ACTIVITY","SYSTEMATIC_NAME":"M36590","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004841","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004841","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Reduced factor XII activity","DESCRIPTION_FULL":"Decreased activity of coagulation factor XII. Factor XII (fXII) is part of the intrinsic coagulation pathway and binds to exposed collagen at site of vessel wall injury, activated by high-MW kininogen and kallikrein, thereby initiating the coagulation cascade. [HPO:probinson]"}
{"STANDARD_NAME":"HP_COOMBS_POSITIVE_HEMOLYTIC_ANEMIA","SYSTEMATIC_NAME":"M36591","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004844","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004844","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Coombs-positive hemolytic anemia","DESCRIPTION_FULL":"A type of hemolytic anemia in which the Coombs test is positive. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PROLONGED_BLEEDING_AFTER_SURGERY","SYSTEMATIC_NAME":"M36592","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004846","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004846","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Prolonged bleeding after surgery","DESCRIPTION_FULL":"Bleeding that persists longer than the normal time following a surgical procedure. [HPO:probinson]"}
{"STANDARD_NAME":"HP_AMEGAKARYOCYTIC_THROMBOCYTOPENIA","SYSTEMATIC_NAME":"M36593","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004859","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004859","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Amegakaryocytic thrombocytopenia","DESCRIPTION_FULL":"Thrombocytopenia related to lack of or severe reduction in the count of megakaryocytes. [HPO:probinson]"}
{"STANDARD_NAME":"HP_IMPAIRED_ADP_INDUCED_PLATELET_AGGREGATION","SYSTEMATIC_NAME":"M41302","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004866","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004866","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Impaired ADP-induced platelet aggregation","DESCRIPTION_FULL":"Abnormal platelet response to ADP as manifested by reduced or lacking aggregation of platelets upon addition of ADP. [HPO:probinson, PMID:11413156]"}
{"STANDARD_NAME":"HP_CHRONIC_HEMOLYTIC_ANEMIA","SYSTEMATIC_NAME":"M36594","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004870","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004870","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Chronic hemolytic anemia","DESCRIPTION_FULL":"An chronic form of hemolytic anemia. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PERINEAL_FISTULA","SYSTEMATIC_NAME":"M36595","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004871","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004871","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Perineal fistula","DESCRIPTION_FULL":"The presence of a fistula between the bowel and the perineum. [HPO:probinson]"}
{"STANDARD_NAME":"HP_EPISODIC_RESPIRATORY_DISTRESS","SYSTEMATIC_NAME":"M36596","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004885","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004885","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Episodic respiratory distress"}
{"STANDARD_NAME":"HP_RESPIRATORY_FAILURE_REQUIRING_ASSISTED_VENTILATION","SYSTEMATIC_NAME":"M36597","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004887","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004887","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Respiratory failure requiring assisted ventilation","DESCRIPTION_FULL":"A state of respiratory distress that requires a life saving intervention in the form of gaining airway access and instituting positive pressure ventilation. [ORCID:0000-0002-7440-8864, PMID:18710593, PMID:28620428]"}
{"STANDARD_NAME":"HP_INTERMITTENT_EPISODES_OF_RESPIRATORY_INSUFFICIENCY_DUE_TO_MUSCLE_WEAKNESS","SYSTEMATIC_NAME":"M36598","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004889","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004889","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Intermittent episodes of respiratory insufficiency due to muscle weakness"}
{"STANDARD_NAME":"HP_SEVERE_LACTIC_ACIDOSIS","SYSTEMATIC_NAME":"M36600","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004900","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004900","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Severe lactic acidosis","DESCRIPTION_FULL":"A severe form of lactic acidemia. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MATURITY_ONSET_DIABETES_OF_THE_YOUNG","SYSTEMATIC_NAME":"M36601","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004904","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004904","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Maturity-onset diabetes of the young","DESCRIPTION_FULL":"The term Maturity-onset diabetes of the young (MODY) was initially used for patients diagnosed with fasting hyperglycemia that could be treated without insulin for more than two years, where the initial diagnosis was made at a young age (under 25 years). Thus, MODY combines characteristics of type 1 diabetes (young age at diagnosis) and type 2 diabetes (less insulin dependence than type 1 diabetes). The term MODY is now most often used to refer to a group of monogenic diseases with these characteristics. Here, the term is used to describe hyperglycemia diagnosed at a young age with no or minor insulin dependency, no evidence of insulin resistence, and lack of evidence of autoimmune destruction of the beta cells. [HPO:probinson]"}
{"STANDARD_NAME":"HP_BICARBONATE_WASTING_RENAL_TUBULAR_ACIDOSIS","SYSTEMATIC_NAME":"M41303","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004910","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004910","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Bicarbonate-wasting renal tubular acidosis"}
{"STANDARD_NAME":"HP_HYPOPHOSPHATEMIC_RICKETS","SYSTEMATIC_NAME":"M36603","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004912","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004912","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypophosphatemic rickets"}
{"STANDARD_NAME":"HP_ABNORMAL_MAGNESIUM_CONCENTRATION","SYSTEMATIC_NAME":"M36604","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004921","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004921","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal magnesium concentration","DESCRIPTION_FULL":"An abnormality of magnesium ion homeostasis. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPERPHENYLALANINEMIA","SYSTEMATIC_NAME":"M36605","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004923","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004923","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hyperphenylalaninemia","DESCRIPTION_FULL":"An increased concentration of L-phenylalanine in the blood. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_ORAL_GLUCOSE_TOLERANCE","SYSTEMATIC_NAME":"M36606","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004924","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004924","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal oral glucose tolerance","DESCRIPTION_FULL":"An abnormal resistance to glucose, i.e., a reduction in the ability to maintain glucose levels in the blood stream within normal limits following oral administration of glucose. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ORTHOSTATIC_HYPOTENSION_DUE_TO_AUTONOMIC_DYSFUNCTION","SYSTEMATIC_NAME":"M36607","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004926","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004926","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Orthostatic hypotension due to autonomic dysfunction"}
{"STANDARD_NAME":"HP_PULMONARY_ARTERY_DILATATION","SYSTEMATIC_NAME":"M36608","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004927","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004927","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pulmonary artery dilatation","DESCRIPTION_FULL":"An abnormal widening of the diameter of the pulmonary artery. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_PULMONARY_VASCULATURE","SYSTEMATIC_NAME":"M36609","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004930","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004930","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the pulmonary vasculature"}
{"STANDARD_NAME":"HP_ASCENDING_AORTIC_DISSECTION","SYSTEMATIC_NAME":"M36610","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004933","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004933","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ascending aortic dissection","DESCRIPTION_FULL":"A separation of the layers within the wall of the ascending aorta. Tears in the intimal layer result in the propagation of dissection (proximally or distally) secondary to blood entering the intima-media space. [HPO:probinson]"}
{"STANDARD_NAME":"HP_VASCULAR_CALCIFICATION","SYSTEMATIC_NAME":"M41304","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004934","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004934","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Vascular calcification","DESCRIPTION_FULL":"Abnormal calcification of the vasculature. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PULMONARY_ARTERY_ATRESIA","SYSTEMATIC_NAME":"M36611","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004935","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004935","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pulmonary artery atresia","DESCRIPTION_FULL":"A congenital anomaly with a narrowing or complete absence of the opening between the right ventricle and the pulmonary artery. [HPO:probinson]"}
{"STANDARD_NAME":"HP_VENOUS_THROMBOSIS","SYSTEMATIC_NAME":"M36612","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004936","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004936","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Venous thrombosis","DESCRIPTION_FULL":"Formation of a blood clot (thrombus) inside a vein, causing the obstruction of blood flow. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PULMONARY_ARTERY_ANEURYSM","SYSTEMATIC_NAME":"M36613","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004937","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004937","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pulmonary artery aneurysm","DESCRIPTION_FULL":"An aneurysm (severe localized balloon-like outward bulging) in the pulmonary artery. [HPO:probinson]"}
{"STANDARD_NAME":"HP_AORTIC_ANEURYSM","SYSTEMATIC_NAME":"M36614","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004942","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004942","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aortic aneurysm","DESCRIPTION_FULL":"Aortic dilatation refers to a dimension that is greater than the 95th percentile for the normal person age, sex and body size. In contrast, an aneurysm is defined as a localized dilation of the aorta that is more than 150 percent of predicted (ratio of observed to expected diameter 1.5 or more). Aneurysm should be distinguished from ectasia, which represents a diffuse dilation of the aorta less than 50 percent of normal aorta diameter. []"}
{"STANDARD_NAME":"HP_ACCELERATED_ATHEROSCLEROSIS","SYSTEMATIC_NAME":"M36615","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004943","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004943","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Accelerated atherosclerosis","DESCRIPTION_FULL":"Atherosclerosis which occurs in a person with certain risk factors (e.g., SLE, diabetes, smoking, hypertension, hypercholesterolaemia, family history of early heart disease) at an earlier age than would occur in another person without those risk factors. [PMID:29040156]"}
{"STANDARD_NAME":"HP_DILATATION_OF_THE_CEREBRAL_ARTERY","SYSTEMATIC_NAME":"M36616","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004944","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004944","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Dilatation of the cerebral artery","DESCRIPTION_FULL":"The presence of a localized dilatation or ballooning of a cerebral artery. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ARTERIOVENOUS_FISTULA","SYSTEMATIC_NAME":"M36617","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004947","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004947","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Arteriovenous fistula","DESCRIPTION_FULL":"An abnormal connection between an artery and vein. [https://www.mayoclinic.org/diseases-conditions/arteriovenous-fistula/symptoms-causes/syc-20369567]"}
{"STANDARD_NAME":"HP_VASCULAR_TORTUOSITY","SYSTEMATIC_NAME":"M36618","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004948","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004948","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Vascular tortuosity","DESCRIPTION_FULL":"Abnormal twisting of arteries or veins. [PMID:22433458]"}
{"STANDARD_NAME":"HP_PERIPHERAL_ARTERIAL_STENOSIS","SYSTEMATIC_NAME":"M36619","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004950","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004950","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Peripheral arterial stenosis","DESCRIPTION_FULL":"Narrowing of peripheral arteries with reduction of blood flow to the limbs. This feature may be quantified as an ankle-brachial index of less than 0.9, and may be manifested clinically as claudication. []"}
{"STANDARD_NAME":"HP_DESCENDING_THORACIC_AORTA_ANEURYSM","SYSTEMATIC_NAME":"M36620","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004959","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004959","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Descending thoracic aorta aneurysm","DESCRIPTION_FULL":"An abnormal localized widening (dilatation) of the descending thoracic aorta. []"}
{"STANDARD_NAME":"HP_THORACIC_AORTA_CALCIFICATION","SYSTEMATIC_NAME":"M36621","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004962","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004962","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Thoracic aorta calcification","DESCRIPTION_FULL":"An accumulation of calcium and phosphate in arteries with mineral deposits in the intimal or medial layer of the vessel wall in the thoracic aorta. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CALCIFICATION_OF_THE_AORTA","SYSTEMATIC_NAME":"M36622","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004963","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004963","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Calcification of the aorta","DESCRIPTION_FULL":"Calcification, that is, pathological deposition of calcium salts in the aorta. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PERIPHERAL_PULMONARY_ARTERY_STENOSIS","SYSTEMATIC_NAME":"M36623","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004969","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004969","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Peripheral pulmonary artery stenosis","DESCRIPTION_FULL":"Stenosis of a peripheral branch of the pulmonary artery. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ASCENDING_TUBULAR_AORTA_ANEURYSM","SYSTEMATIC_NAME":"M36624","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004970","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004970","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ascending tubular aorta aneurysm","DESCRIPTION_FULL":"An abnormal localized widening (dilatation) of the tubular part of the ascending aorta. []"}
{"STANDARD_NAME":"HP_ELEVATED_MEAN_ARTERIAL_PRESSURE","SYSTEMATIC_NAME":"M36625","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004972","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004972","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Elevated mean arterial pressure","DESCRIPTION_FULL":"An abnormal increase in the average blood pressure in an individual during a single cardiac cycle. [PMID:18451345]"}
{"STANDARD_NAME":"HP_ERLENMEYER_FLASK_DEFORMITY_OF_THE_FEMURS","SYSTEMATIC_NAME":"M36626","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004975","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004975","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Erlenmeyer flask deformity of the femurs","DESCRIPTION_FULL":"Flaring of distal femur. [HPO:probinson]"}
{"STANDARD_NAME":"HP_KNEE_DISLOCATION","SYSTEMATIC_NAME":"M36627","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004976","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004976","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Knee dislocation"}
{"STANDARD_NAME":"HP_METAPHYSEAL_SCLEROSIS","SYSTEMATIC_NAME":"M36628","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004979","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004979","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Metaphyseal sclerosis","DESCRIPTION_FULL":"Abnormally increased density of metaphyseal bone. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RHIZOMELIC_ARM_SHORTENING","SYSTEMATIC_NAME":"M36629","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0004991","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0004991","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Rhizomelic arm shortening","DESCRIPTION_FULL":"Disproportionate shortening of the proximal segment of the arm (i.e. the humerus). [HPO:probinson]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_CAPITAL_FEMORAL_EPIPHYSIS","SYSTEMATIC_NAME":"M36630","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005003","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005003","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the capital femoral epiphysis","DESCRIPTION_FULL":"Absence or underdevelopment of the proximal epiphysis of the femur. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DIAPHYSEAL_THICKENING","SYSTEMATIC_NAME":"M36631","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005019","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005019","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Diaphyseal thickening"}
{"STANDARD_NAME":"HP_SHORTENING_OF_ALL_PHALANGES_OF_THE_TOES","SYSTEMATIC_NAME":"M36632","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005035","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005035","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Shortening of all phalanges of the toes","DESCRIPTION_FULL":"Developmental hypoplasia (shortening) of all phalanges of the foot. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PROXIMAL_RADIO_ULNAR_SYNOSTOSIS","SYSTEMATIC_NAME":"M36633","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005037","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005037","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Proximal radio-ulnar synostosis","DESCRIPTION_FULL":"An abnormal osseous union (fusion) between the proximal portions of the radius and the ulna. [HPO:curators]"}
{"STANDARD_NAME":"HP_SYNOSTOSIS_OF_CARPAL_BONES","SYSTEMATIC_NAME":"M36634","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005048","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005048","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Synostosis of carpal bones"}
{"STANDARD_NAME":"HP_METAPHYSEAL_SPURS","SYSTEMATIC_NAME":"M41305","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005054","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005054","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Metaphyseal spurs","DESCRIPTION_FULL":"Bony outgrowths that extend laterally from the margin of the metaphysis. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPEREXTENSIBILITY_AT_WRISTS","SYSTEMATIC_NAME":"M36635","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005072","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005072","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hyperextensibility at wrists","DESCRIPTION_FULL":"The ability of the wrist joints to move beyond their normal range of motion. [HPO:curators]"}
{"STANDARD_NAME":"HP_ABNORMAL_METAPHYSEAL_TRABECULATION","SYSTEMATIC_NAME":"M41306","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005089","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005089","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal metaphyseal trabeculation","DESCRIPTION_FULL":"An abnormality of the pattern of trabecula (small interconnecting rods of bone) in a metaphyseal region of bone. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HIGH_FREQUENCY_HEARING_IMPAIRMENT","SYSTEMATIC_NAME":"M36636","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005101","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005101","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"High-frequency hearing impairment","DESCRIPTION_FULL":"A type of hearing impairment affecting primarily the higher frequencies of sound (3,000 to 6,000 Hz). [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_NASAL_MORPHOLOGY","SYSTEMATIC_NAME":"M36637","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005105","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005105","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal nasal morphology"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_VERTEBRAL_ENDPLATES","SYSTEMATIC_NAME":"M36638","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005106","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005106","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the vertebral endplates","DESCRIPTION_FULL":"Any abnormality of the vertebral end plates, which are the top and bottom portions of the vertebral bodies that interface with the vertebral discs. [HPO:curators]"}
{"STANDARD_NAME":"HP_ABNORMAL_SACRUM_MORPHOLOGY","SYSTEMATIC_NAME":"M36639","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005107","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005107","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal sacrum morphology","DESCRIPTION_FULL":"An abnormality of the sacral bone. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_INTERVERTEBRAL_DISK","SYSTEMATIC_NAME":"M36640","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005108","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005108","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the intervertebral disk","DESCRIPTION_FULL":"An abnormality of the intervertebral disk. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_ACHILLES_TENDON","SYSTEMATIC_NAME":"M36641","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005109","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005109","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the Achilles tendon","DESCRIPTION_FULL":"An abnormality of the Achilles tendon. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABDOMINAL_AORTIC_ANEURYSM","SYSTEMATIC_NAME":"M36642","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005112","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005112","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abdominal aortic aneurysm","DESCRIPTION_FULL":"An abnormal localized widening (dilatation) of the abdominal aorta. []"}
{"STANDARD_NAME":"HP_AORTIC_ARCH_ANEURYSM","SYSTEMATIC_NAME":"M36643","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005113","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005113","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aortic arch aneurysm","DESCRIPTION_FULL":"An abnormal localized widening (dilatation) of the aortic arch. []"}
{"STANDARD_NAME":"HP_SUPRAVENTRICULAR_ARRHYTHMIA","SYSTEMATIC_NAME":"M36644","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005115","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005115","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Supraventricular arrhythmia","DESCRIPTION_FULL":"A type of arrhythmia that originates above the ventricles, whereby the electrical impulse propagates down the normal His Purkinje system similar to normal sinus rhythm. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ELEVATED_DIASTOLIC_BLOOD_PRESSURE","SYSTEMATIC_NAME":"M36645","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005117","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005117","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Elevated diastolic blood pressure","DESCRIPTION_FULL":"Abnormal increase in diastolic blood pressure. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_CARDIAC_ATRIUM_MORPHOLOGY","SYSTEMATIC_NAME":"M36646","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005120","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005120","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal cardiac atrium morphology","DESCRIPTION_FULL":"Any structural abnormality of a cardiac atrium. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RIGHT_VENTRICULAR_DILATATION","SYSTEMATIC_NAME":"M41307","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005133","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005133","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Right ventricular dilatation","DESCRIPTION_FULL":"Enlargement of the chamber of the right ventricle. [HPO:probinson, PMID:17715105]"}
{"STANDARD_NAME":"HP_ABNORMAL_T_WAVE","SYSTEMATIC_NAME":"M36647","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005135","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005135","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal T-wave","DESCRIPTION_FULL":"An abnormality of the T wave on the electrocardiogram, which mainly represents the repolarization of the ventricles. [HPO:probinson]"}
{"STANDARD_NAME":"HP_VENTRICULAR_SEPTAL_HYPERTROPHY","SYSTEMATIC_NAME":"M36648","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005144","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005144","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ventricular septal hypertrophy","DESCRIPTION_FULL":"The dividing wall between left and right sides of the heart, thickens and bulges into the left ventricle. [http://www.heart.org/HEARTORG/Conditions/More/Cardiomyopathy/Hypertrophic-Cardiomyopathy_UCM_444317_Article.jsp#.WmePRJM-dL4, PMID:21349577]"}
{"STANDARD_NAME":"HP_CORONARY_ARTERY_STENOSIS","SYSTEMATIC_NAME":"M36649","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005145","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005145","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Coronary artery stenosis","DESCRIPTION_FULL":"Abnormal narrowing of the coronary artery. []"}
{"STANDARD_NAME":"HP_CARDIAC_VALVE_CALCIFICATION","SYSTEMATIC_NAME":"M36650","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005146","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005146","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cardiac valve calcification","DESCRIPTION_FULL":"Abnormal calcification of a cardiac valve. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_ATRIOVENTRICULAR_CONDUCTION","SYSTEMATIC_NAME":"M36651","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005150","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005150","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal atrioventricular conduction","DESCRIPTION_FULL":"An impairment of the electrical continuity between the atria and ventricles. [PMID:15372490]"}
{"STANDARD_NAME":"HP_VENTRICULAR_ESCAPE_RHYTHM","SYSTEMATIC_NAME":"M36652","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005155","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005155","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ventricular escape rhythm","DESCRIPTION_FULL":"A ventircular escape rhythm occurs whenever higher-lever pacemakers in AV junction or sinus node fail to control ventricular activation. Escape rate is usually 20-40 bpm, often associated with broad QRS complexes (at least 120 ms). []"}
{"STANDARD_NAME":"HP_CONCENTRIC_HYPERTROPHIC_CARDIOMYOPATHY","SYSTEMATIC_NAME":"M36653","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005157","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005157","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Concentric hypertrophic cardiomyopathy","DESCRIPTION_FULL":"Hypertrophic cardiomyopathy with an symmetrical and concentric pattern of hypertrophy. [HPO:probinson]"}
{"STANDARD_NAME":"HP_TOTAL_ANOMALOUS_PULMONARY_VENOUS_RETURN","SYSTEMATIC_NAME":"M36654","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005160","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005160","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Total anomalous pulmonary venous return","DESCRIPTION_FULL":"Total anomalous pulmonary venous return refers to a congenital malformation in which all four pulmonary veins do not connect normally to the left atrium, but instead drain abnormally to the right atrium. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SHORTENED_PR_INTERVAL","SYSTEMATIC_NAME":"M36656","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005165","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005165","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Shortened PR interval","DESCRIPTION_FULL":"Reduced time for the PR interval (beginning of the P wave to the beginning of the QRS complex). In adults, normal values are 120 to 200 ms long. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PREMATURE_ARTERIOSCLEROSIS","SYSTEMATIC_NAME":"M36657","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005177","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005177","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Premature arteriosclerosis","DESCRIPTION_FULL":"Arteriosclerosis occurring at an age that is younger than usual. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PREMATURE_CORONARY_ARTERY_ATHEROSCLEROSIS","SYSTEMATIC_NAME":"M36658","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005181","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005181","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Premature coronary artery atherosclerosis","DESCRIPTION_FULL":"Reduction of the diameter of the coronary arteries as the result of an accumulation of atheromatous plaques within the walls of the coronary arteries before age of 45. [PMID:28070240]"}
{"STANDARD_NAME":"HP_PROLONGED_QTC_INTERVAL","SYSTEMATIC_NAME":"M36659","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005184","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005184","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Prolonged QTc interval","DESCRIPTION_FULL":"A longer than normal interval (corrected for heart rate) between the Q and T waves in the heart's cycle. Prolonged QTc can cause premature action potentials during late phase depolarizations thereby leading to ventricular arrhythmias and ventricular fibrillations. [PMID:24097136]"}
{"STANDARD_NAME":"HP_POLYARTICULAR_ARTHROPATHY","SYSTEMATIC_NAME":"M36660","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005195","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005195","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Polyarticular arthropathy"}
{"STANDARD_NAME":"HP_HELICOBACTER_PYLORI_INFECTION","SYSTEMATIC_NAME":"M41308","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005202","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005202","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Helicobacter pylori infection","DESCRIPTION_FULL":"A recurrent infection of the GI tract with helicobacter pylori, a gram-negative, microaerophilic bacterium usually found in the stomach. [PMID:23652324]"}
{"STANDARD_NAME":"HP_PANCREATIC_PSEUDOCYST","SYSTEMATIC_NAME":"M36661","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005206","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005206","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pancreatic pseudocyst","DESCRIPTION_FULL":"Cyst-like space not lined by epithelium and contained within the pancreas. Pancreatic pseudocysts are often associated with pancreatitis. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SECRETORY_DIARRHEA","SYSTEMATIC_NAME":"M36662","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005208","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005208","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Secretory diarrhea","DESCRIPTION_FULL":"Watery voluminous diarrhea resulting from an imbalance between ion and water secretion and absorption. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PANCREATIC_CALCIFICATION","SYSTEMATIC_NAME":"M36663","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005213","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005213","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pancreatic calcification","DESCRIPTION_FULL":"The presence of abnormal calcium deposition lesions in the pancreas. [HPO:probinson]"}
{"STANDARD_NAME":"HP_IMPAIRED_MASTICATION","SYSTEMATIC_NAME":"M36664","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005216","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005216","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Impaired mastication","DESCRIPTION_FULL":"An abnormal reduction in the ability to masticate (chew), i.e., in the ability to crush and ground food in preparation for swallowing. [PMID:23713640]"}
{"STANDARD_NAME":"HP_BOWEL_DIVERTICULOSIS","SYSTEMATIC_NAME":"M36665","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005222","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005222","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Bowel diverticulosis","DESCRIPTION_FULL":"The presence of multiple diverticula of the intestine. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RECTAL_ABSCESS","SYSTEMATIC_NAME":"M36666","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005224","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005224","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Rectal abscess","DESCRIPTION_FULL":"A collection of pus in the area of the rectum. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ADENOMATOUS_COLONIC_POLYPOSIS","SYSTEMATIC_NAME":"M36667","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005227","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005227","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Adenomatous colonic polyposis","DESCRIPTION_FULL":"Presence of multiple adenomatous polyps in the colon. [HPO:probinson]"}
{"STANDARD_NAME":"HP_JEJUNAL_ATRESIA","SYSTEMATIC_NAME":"M41309","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005235","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005235","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Jejunal atresia","DESCRIPTION_FULL":"A developmental defect resulting in abnormal closure, or atresia of the tubular structure of the jejunum. [HPO:probinson]"}
{"STANDARD_NAME":"HP_GASTROINTESTINAL_INFARCTIONS","SYSTEMATIC_NAME":"M36668","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005244","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005244","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Gastrointestinal infarctions"}
{"STANDARD_NAME":"HP_INTESTINAL_HYPOPLASIA","SYSTEMATIC_NAME":"M36669","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005245","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005245","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Intestinal hypoplasia","DESCRIPTION_FULL":"Developmental hypoplasia of the intestine. [HPO:probinson]"}
{"STANDARD_NAME":"HP_THORACIC_HYPOPLASIA","SYSTEMATIC_NAME":"M36670","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005257","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005257","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Thoracic hypoplasia"}
{"STANDARD_NAME":"HP_PECTORAL_MUSCLE_HYPOPLASIA_APLASIA","SYSTEMATIC_NAME":"M36671","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005258","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005258","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pectoral muscle hypoplasia/aplasia"}
{"STANDARD_NAME":"HP_JOINT_HEMORRHAGE","SYSTEMATIC_NAME":"M36672","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005261","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005261","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Joint hemorrhage","DESCRIPTION_FULL":"Hemorrhage occurring within a joint. [HPO:gcarletti]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_SYNOVIA","SYSTEMATIC_NAME":"M36673","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005262","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005262","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the synovia"}
{"STANDARD_NAME":"HP_GASTRITIS","SYSTEMATIC_NAME":"M36674","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005263","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005263","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Gastritis","DESCRIPTION_FULL":"The presence of inflammation of the gastric mucous membrane. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_GALLBLADDER","SYSTEMATIC_NAME":"M36675","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005264","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005264","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the gallbladder","DESCRIPTION_FULL":"An abnormality of the gallbladder. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_JEJUNUM_MORPHOLOGY","SYSTEMATIC_NAME":"M41310","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005265","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005265","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal jejunum morphology","DESCRIPTION_FULL":"An abnormality of the jejunum, i.e., of the middle section of the small intestine. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INTESTINAL_POLYP","SYSTEMATIC_NAME":"M36676","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005266","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005266","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Intestinal polyp","DESCRIPTION_FULL":"A discrete abnormal tissue mass that protrudes into the lumen of the intestine and is attached to the intestinal wall either by a stalk, pedunculus, or a broad base. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SPONTANEOUS_ABORTION","SYSTEMATIC_NAME":"M36677","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005268","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005268","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Spontaneous abortion","DESCRIPTION_FULL":"A pregnancy that ends at a stage in which the fetus is incapable of surviving on its own, defined as the spontaneous loss of a fetus before the 20th week of pregnancy. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PROMINENT_NASOLABIAL_FOLD","SYSTEMATIC_NAME":"M41311","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005272","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005272","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Prominent nasolabial fold","DESCRIPTION_FULL":"Exaggerated bulkiness of the crease or fold of skin running from the lateral margin of the nose, where nasal base meets the skin of the face, to a point just lateral to the corner of the mouth (cheilion, or commissure). [PMID:19125428]"}
{"STANDARD_NAME":"HP_PROMINENT_NASAL_TIP","SYSTEMATIC_NAME":"M36678","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005274","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005274","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Prominent nasal tip"}
{"STANDARD_NAME":"HP_DEPRESSED_NASAL_BRIDGE","SYSTEMATIC_NAME":"M36679","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005280","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005280","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Depressed nasal bridge","DESCRIPTION_FULL":"Posterior positioning of the nasal root in relation to the overall facial profile for age. [PMID:19152422]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_NASOLABIAL_REGION","SYSTEMATIC_NAME":"M36680","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005289","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005289","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the nasolabial region"}
{"STANDARD_NAME":"HP_VENOUS_INSUFFICIENCY","SYSTEMATIC_NAME":"M36681","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005293","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005293","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Venous insufficiency"}
{"STANDARD_NAME":"HP_ARTERIAL_DISSECTION","SYSTEMATIC_NAME":"M36682","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005294","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005294","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Arterial dissection","DESCRIPTION_FULL":"A separation (dissection) of the layers of an artery. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CEREBRAL_VENOUS_THROMBOSIS","SYSTEMATIC_NAME":"M36684","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005305","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005305","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cerebral venous thrombosis","DESCRIPTION_FULL":"Formation of a blood clot (thrombus) inside a cerebral vein, causing the obstruction of blood flow. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CAPILLARY_HEMANGIOMA","SYSTEMATIC_NAME":"M36685","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005306","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005306","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Capillary hemangioma","DESCRIPTION_FULL":"The presence of a capillary hemangioma, which are hemangiomas with small endothelial spaces. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INCREASED_PULMONARY_VASCULAR_RESISTANCE","SYSTEMATIC_NAME":"M41312","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005317","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005317","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased pulmonary vascular resistance","DESCRIPTION_FULL":"Pulmonary vascular resistance (PVR) more than 3 wood units, as defined by the current definition of pulmonary hypertension. 95% of individuals have a PVR of less than 2.4 wood units. []"}
{"STANDARD_NAME":"HP_DISTURBANCE_OF_FACIAL_EXPRESSION","SYSTEMATIC_NAME":"M36686","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005324","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005324","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Disturbance of facial expression","DESCRIPTION_FULL":"An abnormality of the gestures or movements executed with the facial muscles with which emotions such as fear, joy, sadness, surprise, and disgust can be expressed. [DDD:cwright]"}
{"STANDARD_NAME":"HP_PROGEROID_FACIAL_APPEARANCE","SYSTEMATIC_NAME":"M36687","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005328","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005328","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Progeroid facial appearance","DESCRIPTION_FULL":"A degree of wrinkling of the facial skin that is more than expected for the age of the individual, leading to a prematurely aged appearance. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SPARSE_LATERAL_EYEBROW","SYSTEMATIC_NAME":"M36688","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005338","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005338","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Sparse lateral eyebrow","DESCRIPTION_FULL":"Decreased density/number and/or decreased diameter of lateral eyebrow hairs. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_COMPLEMENT_SYSTEM","SYSTEMATIC_NAME":"M36689","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005339","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005339","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of complement system","DESCRIPTION_FULL":"An abnormality of the complement system. [HPO:probinson, PMID:19388161]"}
{"STANDARD_NAME":"HP_SPASTIC_HYPERACTIVE_BLADDER","SYSTEMATIC_NAME":"M36690","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005340","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005340","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Spastic/hyperactive bladder"}
{"STANDARD_NAME":"HP_ABNORMAL_CAROTID_ARTERY_MORPHOLOGY","SYSTEMATIC_NAME":"M36691","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005344","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005344","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal carotid artery morphology","DESCRIPTION_FULL":"Any structural abnormality of the carotid arteries, including the common carotid artery and its' arterial branches. []"}
{"STANDARD_NAME":"HP_ABNORMAL_VENA_CAVA_MORPHOLOGY","SYSTEMATIC_NAME":"M36692","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005345","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005345","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal vena cava morphology","DESCRIPTION_FULL":"An abnormality of the structure of the veins that return deoxygenated blood from the body into the heart, i.e., the superior vena cava and the inferior vena cava. []"}
{"STANDARD_NAME":"HP_ABNORMAL_FACIAL_EXPRESSION","SYSTEMATIC_NAME":"M36693","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005346","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005346","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal facial expression"}
{"STANDARD_NAME":"HP_INSPIRATORY_STRIDOR","SYSTEMATIC_NAME":"M36694","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005348","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005348","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Inspiratory stridor","DESCRIPTION_FULL":"Inspiratory stridor is a high pitched sound upon inspiration that is generally related to laryngeal abnormalities. [HPO:curators]"}
{"STANDARD_NAME":"HP_HYPOPLASIA_OF_THE_EPIGLOTTIS","SYSTEMATIC_NAME":"M36695","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005349","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005349","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypoplasia of the epiglottis","DESCRIPTION_FULL":"Hypoplasia of the epiglottis. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RECURRENT_HERPES","SYSTEMATIC_NAME":"M36696","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005353","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005353","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Recurrent herpes","DESCRIPTION_FULL":"Increased susceptibility to herpesvirus, as manifested by recurrent episodes of herpesvirus. []"}
{"STANDARD_NAME":"HP_LACK_OF_T_CELL_FUNCTION","SYSTEMATIC_NAME":"M36697","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005354","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005354","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Lack of T cell function","DESCRIPTION_FULL":"Complete inability of T cells to perform their functions in cell-mediated immunity. []"}
{"STANDARD_NAME":"HP_DECREASED_SERUM_COMPLEMENT_FACTOR_I","SYSTEMATIC_NAME":"M36698","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005356","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005356","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased serum complement factor I","DESCRIPTION_FULL":"A reduced level of the complement component Factor I in circulation. [https://emedicine.medscape.com/article/135478-overview]"}
{"STANDARD_NAME":"HP_SEVERE_B_LYMPHOCYTOPENIA","SYSTEMATIC_NAME":"M36699","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005365","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005365","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Severe B lymphocytopenia","DESCRIPTION_FULL":"A severe form of B lymphocytopenia in which the count of B cells is very low or absent. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_HUMORAL_IMMUNITY","SYSTEMATIC_NAME":"M36700","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005368","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005368","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of humoral immunity","DESCRIPTION_FULL":"An abnormality of the humoral immune system, which comprises antibodies produced by B cells as well as the complement system. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CELLULAR_IMMUNODEFICIENCY","SYSTEMATIC_NAME":"M36701","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005374","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005374","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cellular immunodeficiency","DESCRIPTION_FULL":"An immunodeficiency characterized by defective cell-mediated immunity or humoral immunity. [http://www.dictionary.com/browse/cellular-immunodeficiency]"}
{"STANDARD_NAME":"HP_RECURRENT_HAEMOPHILUS_INFLUENZAE_INFECTIONS","SYSTEMATIC_NAME":"M36702","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005376","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005376","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Recurrent Haemophilus influenzae infections","DESCRIPTION_FULL":"Increased susceptibility to Haemophilus influenzae infections as manifested by recurrent episodes of infection by Haemophilus influenzae. [HPO:probinson]"}
{"STANDARD_NAME":"HP_COMBINED_IMMUNODEFICIENCY","SYSTEMATIC_NAME":"M36704","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005387","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005387","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Combined immunodeficiency","DESCRIPTION_FULL":"A group of phenotypically heterogeneous genetic disorders characterized by profound deficiencies of T- and B-cell function, which predispose the patients to both infectious and noninfectious complications. [PMID:23321211]"}
{"STANDARD_NAME":"HP_RECURRENT_OPPORTUNISTIC_INFECTIONS","SYSTEMATIC_NAME":"M41313","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005390","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005390","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Recurrent opportunistic infections","DESCRIPTION_FULL":"Increased susceptibility to opportunistic infections, as manifested by recurrent episodes of infection by opportunistic agents, i.e., by microorganisms that do not usually cause disease in a healthy host, but are able to infect a host with a compromised immune system. [HPO:probinson]"}
{"STANDARD_NAME":"HP_REDUCTION_OF_NEUTROPHIL_MOTILITY","SYSTEMATIC_NAME":"M41314","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005400","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005400","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Reduction of neutrophil motility","DESCRIPTION_FULL":"An abnormal reduction of the cell motility of neutrophils. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RECURRENT_CANDIDA_INFECTIONS","SYSTEMATIC_NAME":"M36705","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005401","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005401","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Recurrent candida infections","DESCRIPTION_FULL":"An increased susceptibility to candida infections, as manifested by a history of recurrent episodes of candida infections. [HPO:probinson]"}
{"STANDARD_NAME":"HP_T_LYMPHOCYTOPENIA","SYSTEMATIC_NAME":"M36706","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005403","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005403","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"T lymphocytopenia","DESCRIPTION_FULL":"An abnormally low count of T cells. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INCREASED_B_CELL_COUNT","SYSTEMATIC_NAME":"M41315","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005404","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005404","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased B cell count","DESCRIPTION_FULL":"An abnormal increase from the normal count of B cells. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RECURRENT_BACTERIAL_SKIN_INFECTIONS","SYSTEMATIC_NAME":"M36707","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005406","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005406","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Recurrent bacterial skin infections","DESCRIPTION_FULL":"Increased susceptibility to bacterial infections of the skin, as manifested by recurrent episodes of infectious dermatitis. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DECREASED_PROPORTION_OF_CD8_POSITIVE_T_CELLS","SYSTEMATIC_NAME":"M36708","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005415","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005415","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased proportion of CD8-positive T cells","DESCRIPTION_FULL":"A decreased proportion of circulating CD8-positive, alpha-beta T cells relative to total number of T cells. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DECREASED_SERUM_COMPLEMENT_FACTOR_B","SYSTEMATIC_NAME":"M36709","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005416","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005416","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased serum complement factor B","DESCRIPTION_FULL":"A reduced level of the complement component factor B in circulation. [https://emedicine.medscape.com/article/135478-overview]"}
{"STANDARD_NAME":"HP_RECURRENT_GRAM_NEGATIVE_BACTERIAL_INFECTIONS","SYSTEMATIC_NAME":"M36710","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005420","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005420","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Recurrent gram-negative bacterial infections","DESCRIPTION_FULL":"Increased susceptibility to infection by gram-negative bacteria, as manifested by a medical history of repeated or frequent infections by these agents. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DECREASED_SERUM_COMPLEMENT_C3","SYSTEMATIC_NAME":"M36711","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005421","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005421","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased serum complement C3","DESCRIPTION_FULL":"A reduced level of the complement component C3 in circulation. [https://emedicine.medscape.com/article/135478-overview]"}
{"STANDARD_NAME":"HP_RECURRENT_SINOPULMONARY_INFECTIONS","SYSTEMATIC_NAME":"M36712","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005425","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005425","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Recurrent sinopulmonary infections","DESCRIPTION_FULL":"An increased susceptibility to infections involving both the paranasal sinuses and the lungs, as manifested by a history of recurrent sinopulmonary infections. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RECURRENT_NEISSERIAL_INFECTIONS","SYSTEMATIC_NAME":"M36713","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005430","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005430","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Recurrent Neisserial infections","DESCRIPTION_FULL":"Recurrent infections by bacteria of the genus Neisseria, including N. meningitidis (one of the most common causes of bacterial meningitis). [HPO:curators]"}
{"STANDARD_NAME":"HP_IMPAIRED_T_CELL_FUNCTION","SYSTEMATIC_NAME":"M36714","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005435","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005435","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Impaired T cell function","DESCRIPTION_FULL":"Abnormally reduced ability of T cells to perform their functions in cell-mediated immunity. [ORCID:0000-0001-7941-2961]"}
{"STANDARD_NAME":"HP_ENLARGED_POSTERIOR_FOSSA","SYSTEMATIC_NAME":"M41316","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005445","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005445","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Enlarged posterior fossa","DESCRIPTION_FULL":"Abnormal increased size of the posterior cranial fossa. [PMID:28295149]"}
{"STANDARD_NAME":"HP_ABSENT_HYPOPLASTIC_PARANASAL_SINUSES","SYSTEMATIC_NAME":"M36715","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005453","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005453","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Absent/hypoplastic paranasal sinuses","DESCRIPTION_FULL":"Aplasia or hypoplasia of the paranasal sinuses. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CALCIFICATION_OF_FALX_CEREBRI","SYSTEMATIC_NAME":"M41317","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005462","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005462","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Calcification of falx cerebri","DESCRIPTION_FULL":"The presence of calcium deposition in the falx cerebri. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CRANIOFACIAL_OSTEOSCLEROSIS","SYSTEMATIC_NAME":"M36716","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005464","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005464","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Craniofacial osteosclerosis","DESCRIPTION_FULL":"Abnormally increased density of craniofacial bone tissue. [HPO:probinson]"}
{"STANDARD_NAME":"HP_FACIAL_HYPEROSTOSIS","SYSTEMATIC_NAME":"M36717","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005465","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005465","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Facial hyperostosis","DESCRIPTION_FULL":"Excessive growth (overgrowth) of the facial bones, that is of the facial skeleton. [HPO:probinson]"}
{"STANDARD_NAME":"HP_FLAT_OCCIPUT","SYSTEMATIC_NAME":"M36718","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005469","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005469","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Flat occiput","DESCRIPTION_FULL":"Reduced convexity of the occiput (posterior part of skull). [PMID:19125436]"}
{"STANDARD_NAME":"HP_DECREASED_CALVARIAL_OSSIFICATION","SYSTEMATIC_NAME":"M36719","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005474","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005474","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased calvarial ossification","DESCRIPTION_FULL":"Abnormal reduction in ossification of the calvaria (roof of the skull consisting of the frontal bone, parietal bones, temporal bones, and occipital bone). [DDD:awilkie, HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_EPIGLOTTIS_MORPHOLOGY","SYSTEMATIC_NAME":"M36720","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005483","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005483","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal epiglottis morphology","DESCRIPTION_FULL":"An abnormality of the epiglottis. [HPO:probinson]"}
{"STANDARD_NAME":"HP_POSTNATAL_MICROCEPHALY","SYSTEMATIC_NAME":"M36721","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005484","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005484","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Postnatal microcephaly","DESCRIPTION_FULL":"Head circumference which falls below 2 standard deviations below the mean for age and gender because of insufficient head growth after birth. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PROMINENT_METOPIC_RIDGE","SYSTEMATIC_NAME":"M36722","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005487","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005487","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Prominent metopic ridge","DESCRIPTION_FULL":"Vertical bony ridge positioned in the midline of the forehead. [HPO:probinson, PMID:19125436]"}
{"STANDARD_NAME":"HP_REFRACTORY_ANEMIA","SYSTEMATIC_NAME":"M36723","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005505","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005505","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Refractory anemia"}
{"STANDARD_NAME":"HP_CHRONIC_MYELOGENOUS_LEUKEMIA","SYSTEMATIC_NAME":"M36724","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005506","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005506","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Chronic myelogenous leukemia","DESCRIPTION_FULL":"A myeloproliferative disorder characterized by increased proliferation of the granulocytic cell line without the loss of their capacity to differentiate. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INCREASED_MEGAKARYOCYTE_COUNT","SYSTEMATIC_NAME":"M36725","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005513","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005513","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased megakaryocyte count","DESCRIPTION_FULL":"Increased megakaryocyte number, i.e., of platelet precursor cells, present in the bone marrow. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INCREASED_MEAN_CORPUSCULAR_VOLUME","SYSTEMATIC_NAME":"M36726","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005518","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005518","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased mean corpuscular volume","DESCRIPTION_FULL":"Larger than normal size of erythrocytes. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DISSEMINATED_INTRAVASCULAR_COAGULATION","SYSTEMATIC_NAME":"M36727","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005521","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005521","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Disseminated intravascular coagulation","DESCRIPTION_FULL":"Disseminated intravascular coagulation is characterized by the widespread activation of coagulation, which results in the intravascular formation of fibrin and ultimately thrombotic occlusion of small and midsize vessels. [HPO:probinson, PMID:10451465, PMID:11816725]"}
{"STANDARD_NAME":"HP_PYRIDOXINE_RESPONSIVE_SIDEROBLASTIC_ANEMIA","SYSTEMATIC_NAME":"M41318","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005522","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005522","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pyridoxine-responsive sideroblastic anemia","DESCRIPTION_FULL":"A type of sideroblastic anemia that is alleviated by pyridoxine (vitamin B-6) treatment. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LYMPHOPROLIFERATIVE_DISORDER","SYSTEMATIC_NAME":"M36728","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005523","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005523","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Lymphoproliferative disorder"}
{"STANDARD_NAME":"HP_SPONTANEOUS_HEMOLYTIC_CRISES","SYSTEMATIC_NAME":"M36729","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005525","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005525","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Spontaneous hemolytic crises"}
{"STANDARD_NAME":"HP_BONE_MARROW_HYPOCELLULARITY","SYSTEMATIC_NAME":"M36730","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005528","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005528","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Bone marrow hypocellularity","DESCRIPTION_FULL":"A reduced number of hematopoietic cells present in the bone marrow relative to marrow fat. [DDD:wouwehand, HPO:probinson]"}
{"STANDARD_NAME":"HP_MYELOPROLIFERATIVE_DISORDER","SYSTEMATIC_NAME":"M36731","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005547","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005547","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Myeloproliferative disorder","DESCRIPTION_FULL":"Proliferation (excess production) of hemopoietically active tissue or of tissue which has embryonic hemopoietic potential. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CHRONIC_LYMPHATIC_LEUKEMIA","SYSTEMATIC_NAME":"M41319","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005550","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005550","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Chronic lymphatic leukemia","DESCRIPTION_FULL":"A chronic lymphocytic/lymphatic/lymphoblastic leukemia (CLL) is a neoplastic disease characterized by proliferation and accumulation (blood, marrow and lymphoid organs) of morphologically mature but immunologically dysfunctional lymphocytes. A CLL is always a B-cell lymphocytic leukemia as there are no reports of cases of T-cell lymphocytic leukemias. [HPO:curators]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_METOPIC_SUTURE","SYSTEMATIC_NAME":"M36732","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005556","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005556","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the metopic suture","DESCRIPTION_FULL":"The frontal suture divides the two halves of the frontal bone of the skull in infants and children and generally undergoes fusion by the age of six. A persistent frontal suture is referred to as a \\metopic suture\\. [HPO:curators]"}
{"STANDARD_NAME":"HP_CHRONIC_LEUKEMIA","SYSTEMATIC_NAME":"M36733","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005558","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005558","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Chronic leukemia","DESCRIPTION_FULL":"A slowly progressing leukemia characterized by a clonal (malignant) proliferation of maturing and mature myeloid cells or mature lymphocytes. When the clonal cellular population is composed of myeloid cells, the process is called chronic myelogenous leukemia. When the clonal cellular population is composed of lymphocytes, it is classified as chronic lymphocytic leukemia, hairy cell leukemia, or T-cell large granular lymphocyte leukemia. [NCIT:C3483]"}
{"STANDARD_NAME":"HP_IMBALANCED_HEMOGLOBIN_SYNTHESIS","SYSTEMATIC_NAME":"M36734","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005560","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005560","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Imbalanced hemoglobin synthesis","DESCRIPTION_FULL":"Normal hemoglobin synthesis is characterized by production of equal amounts of alpha and beta globins. This term refers to a deviation from this pattern and is the main characteristic of the various forms of thalassemia. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_BONE_MARROW_CELL_MORPHOLOGY","SYSTEMATIC_NAME":"M36735","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005561","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005561","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of bone marrow cell morphology","DESCRIPTION_FULL":"An anomaly of the form or number of cells in the bone marrow. [DDD:wouwehand, HPO:probinson]"}
{"STANDARD_NAME":"HP_MULTIPLE_RENAL_CYSTS","SYSTEMATIC_NAME":"M36736","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005562","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005562","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Multiple renal cysts","DESCRIPTION_FULL":"The presence of many cysts in the kidney. [Eurenomics:ewuehl]"}
{"STANDARD_NAME":"HP_REDUCED_RENAL_CORTICOMEDULLARY_DIFFERENTIATION","SYSTEMATIC_NAME":"M41320","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005565","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005565","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Reduced renal corticomedullary differentiation","DESCRIPTION_FULL":"Reduced differentiation between renal cortex and medulla on diagnostic imaging. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RENAL_MAGNESIUM_WASTING","SYSTEMATIC_NAME":"M36737","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005567","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005567","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Renal magnesium wasting","DESCRIPTION_FULL":"High urine magnesium in the presence of hypomagnesemia. [Eurenomics:ewuehl]"}
{"STANDARD_NAME":"HP_HEMOLYTIC_UREMIC_SYNDROME","SYSTEMATIC_NAME":"M36738","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005575","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005575","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hemolytic-uremic syndrome"}
{"STANDARD_NAME":"HP_DUPLICATION_OF_RENAL_PELVIS","SYSTEMATIC_NAME":"M41321","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005580","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005580","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Duplication of renal pelvis","DESCRIPTION_FULL":"A duplication of the renal pelvis. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RENAL_CELL_CARCINOMA","SYSTEMATIC_NAME":"M36739","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005584","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005584","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Renal cell carcinoma","DESCRIPTION_FULL":"A type of carcinoma of the kidney with origin in the epithelium of the proximal convoluted renal tubule. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SPOTTY_HYPERPIGMENTATION","SYSTEMATIC_NAME":"M36740","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005585","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005585","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Spotty hyperpigmentation"}
{"STANDARD_NAME":"HP_HYPERPIGMENTATION_IN_SUN_EXPOSED_AREAS","SYSTEMATIC_NAME":"M36741","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005586","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005586","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hyperpigmentation in sun-exposed areas"}
{"STANDARD_NAME":"HP_PATCHY_PALMOPLANTAR_KERATODERMA","SYSTEMATIC_NAME":"M36742","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005588","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005588","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Patchy palmoplantar keratoderma","DESCRIPTION_FULL":"A focal type of palmoplantar keratoderma in which only certain areas of the palms and soles are affected. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SPOTTY_HYPOPIGMENTATION","SYSTEMATIC_NAME":"M36743","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005590","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005590","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Spotty hypopigmentation"}
{"STANDARD_NAME":"HP_GENERALIZED_HYPERKERATOSIS","SYSTEMATIC_NAME":"M36744","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005595","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005595","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Generalized hyperkeratosis"}
{"STANDARD_NAME":"HP_LARGE_CAFE_AU_LAIT_MACULES_WITH_IRREGULAR_MARGINS","SYSTEMATIC_NAME":"M41322","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005605","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005605","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Large cafe-au-lait macules with irregular margins","DESCRIPTION_FULL":"Large hypermelanotic macules with jagged borders. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_TRACHEOBRONCHIAL_MORPHOLOGY","SYSTEMATIC_NAME":"M36745","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005607","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005607","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal tracheobronchial morphology"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_FEMUR","SYSTEMATIC_NAME":"M36746","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005613","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005613","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/hypoplasia of the femur","DESCRIPTION_FULL":"Absence or underdevelopment of the femur. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ACCELERATED_SKELETAL_MATURATION","SYSTEMATIC_NAME":"M36747","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005616","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005616","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Accelerated skeletal maturation","DESCRIPTION_FULL":"An abnormally increased rate of skeletal maturation. Accelerated skeletal maturation can be diagnosed on the basis of an estimation of the bone age from radiographs of specific bones in the human body. [HPO:curators]"}
{"STANDARD_NAME":"HP_THORACOLUMBAR_KYPHOSIS","SYSTEMATIC_NAME":"M36748","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005619","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005619","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Thoracolumbar kyphosis","DESCRIPTION_FULL":"Hyperconvexity of the thoracolumbar spine producing a rounded or humped appearance. [HPO:probinson]"}
{"STANDARD_NAME":"HP_BROAD_LONG_BONES","SYSTEMATIC_NAME":"M36749","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005622","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005622","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Broad long bones","DESCRIPTION_FULL":"Increased cross-section (diameter) of the long bones. Note that widening may primarily affect specific regions of long bones (e.g., diaphysis or metaphysis), but this should be coded separately. [HPO:probinson]"}
{"STANDARD_NAME":"HP_OSTEOPOROSIS_OF_VERTEBRAE","SYSTEMATIC_NAME":"M36750","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005625","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005625","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Osteoporosis of vertebrae","DESCRIPTION_FULL":"Osteoporosis affecting predominantly the vertebrae. [HPO:curators]"}
{"STANDARD_NAME":"HP_ABNORMAL_VERTEBRAL_SEGMENTATION_AND_FUSION","SYSTEMATIC_NAME":"M36751","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005640","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005640","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal vertebral segmentation and fusion"}
{"STANDARD_NAME":"HP_POSITIONAL_FOOT_DEFORMITY","SYSTEMATIC_NAME":"M36752","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005656","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005656","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Positional foot deformity","DESCRIPTION_FULL":"A foot deformity resulting due to an abnormality affecting the muscle and soft tissue. In contrast if the bones of the foot are affected the term structural foot deformity applies. [HPO:probinson]"}
{"STANDARD_NAME":"HP_THORACIC_KYPHOSCOLIOSIS","SYSTEMATIC_NAME":"M36753","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005659","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005659","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Thoracic kyphoscoliosis"}
{"STANDARD_NAME":"HP_JUVENILE_RHEUMATOID_ARTHRITIS","SYSTEMATIC_NAME":"M36754","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005681","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005681","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Juvenile rheumatoid arthritis"}
{"STANDARD_NAME":"HP_DISTAL_ARTHROGRYPOSIS","SYSTEMATIC_NAME":"M36755","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005684","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005684","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Distal arthrogryposis","DESCRIPTION_FULL":"An inherited primary limb malformation disorder characterized by congenital contractures of two or more different body areas and without primary neurologic and/or muscle disease that affects limb function. [HPO:probinson, PMID:8923935]"}
{"STANDARD_NAME":"HP_JOINT_HYPERFLEXIBILITY","SYSTEMATIC_NAME":"M36756","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005692","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005692","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Joint hyperflexibility","DESCRIPTION_FULL":"Increased mobility and flexibility in the joint due to the tension in tissues such as ligaments and muscles. [https://orcid.org/0000-0002-6548-5200]"}
{"STANDARD_NAME":"HP_MULTIPLE_ENCHONDROMATOSIS","SYSTEMATIC_NAME":"M36757","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005701","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005701","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Multiple enchondromatosis"}
{"STANDARD_NAME":"HP_LETHAL_SKELETAL_DYSPLASIA","SYSTEMATIC_NAME":"M36758","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005716","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005716","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Lethal skeletal dysplasia"}
{"STANDARD_NAME":"HP_AVASCULAR_NECROSIS_OF_THE_CAPITAL_FEMORAL_EPIPHYSIS","SYSTEMATIC_NAME":"M36760","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005743","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005743","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Avascular necrosis of the capital femoral epiphysis","DESCRIPTION_FULL":"Avascular necrosis of the proximal epiphysis of the femur occurring in growing children and caused by an interruption of the blood supply to the head of the femur close to the hip joint. The necrosis is characteristically associated with flattening of the femoral head, for which reason the term coxa plana has been used to refer to this feature in the medical literature. [HPO:probinson, PMID:29481348, PMID:30020602]"}
{"STANDARD_NAME":"HP_CONTRACTURES_OF_THE_JOINTS_OF_THE_LOWER_LIMBS","SYSTEMATIC_NAME":"M36761","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005750","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005750","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Contractures of the joints of the lower limbs"}
{"STANDARD_NAME":"HP_BASILAR_IMPRESSION","SYSTEMATIC_NAME":"M36762","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005758","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005758","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Basilar impression","DESCRIPTION_FULL":"Abnormal elevation of the floor of the posterior fossa including occipital condyles and foramen magnum. [HPO:probinson, PMID:10084535]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_TIBIA","SYSTEMATIC_NAME":"M36763","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005772","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005772","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the tibia","DESCRIPTION_FULL":"Absence or underdevelopment of the tibia. [HPO:curators]"}
{"STANDARD_NAME":"HP_GENERALIZED_OSTEOSCLEROSIS","SYSTEMATIC_NAME":"M36764","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005789","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005789","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Generalized osteosclerosis","DESCRIPTION_FULL":"An abnormal increase of bone mineral density with generalized involvement of the skeleton. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CORTICAL_THICKENING_OF_LONG_BONE_DIAPHYSES","SYSTEMATIC_NAME":"M36765","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005791","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005791","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cortical thickening of long bone diaphyses","DESCRIPTION_FULL":"Abnormal thickening of the cortex of the diaphyseal region of long bones. [HPO:curators]"}
{"STANDARD_NAME":"HP_SHORT_MIDDLE_PHALANX_OF_FINGER","SYSTEMATIC_NAME":"M36766","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005819","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005819","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Short middle phalanx of finger","DESCRIPTION_FULL":"Short (hypoplastic) middle phalanx of finger, affecting one or more fingers. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MULTIPLE_PRENATAL_FRACTURES","SYSTEMATIC_NAME":"M36767","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005855","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005855","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Multiple prenatal fractures","DESCRIPTION_FULL":"The presence of bone fractures in the prenatal period that are diagnosed at birth or before. [HPO:curators]"}
{"STANDARD_NAME":"HP_PSEUDOARTHROSIS","SYSTEMATIC_NAME":"M36768","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005864","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005864","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pseudoarthrosis","DESCRIPTION_FULL":"A pathologic entity characterized by a developmental defect in a long bone leading to bending and pathologic fracture, with inability to form a normal bony callus with subsequent fibrous nonunion, leading to the pseudarthrosis (or \\false joint\\). [HPO:probinson]"}
{"STANDARD_NAME":"HP_METAPHYSEAL_CHONDRODYSPLASIA","SYSTEMATIC_NAME":"M36769","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005871","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005871","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Metaphyseal chondrodysplasia","DESCRIPTION_FULL":"An abnormality of skeletal development characterized by a disturbance of the metaphysis and its histological structure with relatively normal epiphyses and vertebrae. [HPO:probinson, PMID:335375]"}
{"STANDARD_NAME":"HP_PROGRESSIVE_FLEXION_CONTRACTURES","SYSTEMATIC_NAME":"M36770","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005876","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005876","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Progressive flexion contractures","DESCRIPTION_FULL":"Progressively worsening joint contractures. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CONGENITAL_FINGER_FLEXION_CONTRACTURES","SYSTEMATIC_NAME":"M36771","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005879","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005879","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Congenital finger flexion contractures","DESCRIPTION_FULL":"Multiple bent (flexed) finger joints that cannot be straightened actively or passively. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_CERVICAL_CURVATURE","SYSTEMATIC_NAME":"M36772","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005905","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005905","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal cervical curvature","DESCRIPTION_FULL":"The presence of an abnormal curvature of the cervical vertebral column. [HPO:probinson]"}
{"STANDARD_NAME":"HP_BILIARY_ATRESIA","SYSTEMATIC_NAME":"M36773","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005912","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005912","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Biliary atresia","DESCRIPTION_FULL":"Atresia of the biliary tree. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_METACARPAL_EPIPHYSES","SYSTEMATIC_NAME":"M36774","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005913","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005913","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of metacarpal epiphyses"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_INVOLVING_THE_METACARPAL_BONES","SYSTEMATIC_NAME":"M36775","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005914","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005914","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia involving the metacarpal bones","DESCRIPTION_FULL":"Aplasia or Hypoplasia affecting the metacarpal bones. [HPO:curators]"}
{"STANDARD_NAME":"HP_ABNORMAL_METACARPAL_MORPHOLOGY","SYSTEMATIC_NAME":"M36776","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005916","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005916","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal metacarpal morphology","DESCRIPTION_FULL":"Irregularly shaped metacarpal bones of varying degree. [HPO:curators]"}
{"STANDARD_NAME":"HP_ABNORMAL_FINGER_PHALANX_MORPHOLOGY","SYSTEMATIC_NAME":"M36777","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005918","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005918","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal finger phalanx morphology","DESCRIPTION_FULL":"Abnormalities affecting the phalanx of finger. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_EPIPHYSIS_MORPHOLOGY_OF_THE_PHALANGES_OF_THE_HAND","SYSTEMATIC_NAME":"M36778","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005920","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005920","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal epiphysis morphology of the phalanges of the hand","DESCRIPTION_FULL":"Abnormality of one or all of the epiphyses of the phalanges of the hand. Note that this includes the epiphysis of the 1st metacarpal. In contrast to the metacarpals 2-5, the first metacarpal is embryologically of phalangeal origin and as such equivalent to the proximal phalanges of the digits 2-5 (whereas the proximal phalanx of the thumb is equivalent to the middle phalanges of the other digits). [HPO:curators]"}
{"STANDARD_NAME":"HP_ABNORMAL_HAND_MORPHOLOGY","SYSTEMATIC_NAME":"M36779","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005922","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005922","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal hand morphology","DESCRIPTION_FULL":"Any structural anomaly of the hand. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_EPIPHYSIS_MORPHOLOGY","SYSTEMATIC_NAME":"M36780","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005930","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005930","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of epiphysis morphology","DESCRIPTION_FULL":"An anomaly of epiphysis, which is the expanded articular end of a long bone that developes from a secondary ossification center, and which during the period of growth is either entirely cartilaginous or is separated from the shaft by a cartilaginous disk. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_RENAL_CORTICOMEDULLARY_DIFFERENTIATION","SYSTEMATIC_NAME":"M36781","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005932","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005932","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal renal corticomedullary differentiation","DESCRIPTION_FULL":"An abnormality of corticomedullary differentiation (CMD) on diagnostic imaging such as magnetic resonance imaging, computer tomography, or sonography. CMD is a difference in the visualization of cortex and medulla. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_RESPIRATORY_MOTILE_CILIUM_MORPHOLOGY","SYSTEMATIC_NAME":"M36782","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005938","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005938","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal respiratory motile cilium morphology","DESCRIPTION_FULL":"Abnormal arrangement of the structures of the motile cilium. [HPO:probinson, MP:0011050]"}
{"STANDARD_NAME":"HP_RESPIRATORY_ARREST","SYSTEMATIC_NAME":"M36783","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005943","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005943","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Respiratory arrest"}
{"STANDARD_NAME":"HP_APNEIC_EPISODES_IN_INFANCY","SYSTEMATIC_NAME":"M36785","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005949","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005949","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Apneic episodes in infancy","DESCRIPTION_FULL":"Recurrent episodes of apnea occurring during infancy. [HPO:curators]"}
{"STANDARD_NAME":"HP_DECREASED_PULMONARY_FUNCTION","SYSTEMATIC_NAME":"M36786","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005952","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005952","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased pulmonary function"}
{"STANDARD_NAME":"HP_BREATHING_DYSREGULATION","SYSTEMATIC_NAME":"M36787","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005957","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005957","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Breathing dysregulation"}
{"STANDARD_NAME":"HP_TEMPERATURE_INSTABILITY","SYSTEMATIC_NAME":"M36788","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005968","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005968","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Temperature instability","DESCRIPTION_FULL":"Disordered thermoregulation characterized by an impaired ability to maintain a balance between heat production and heat loss, with resulting instability of body temperature. [HPO:curators]"}
{"STANDARD_NAME":"HP_TYPE_II_DIABETES_MELLITUS","SYSTEMATIC_NAME":"M36789","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005978","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005978","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Type II diabetes mellitus","DESCRIPTION_FULL":"A type of diabetes mellitus initially characterized by insulin resistance and hyperinsulinemia and subsequently by glucose interolerance and hyperglycemia. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LIMITATION_OF_NECK_MOTION","SYSTEMATIC_NAME":"M36790","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005986","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005986","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Limitation of neck motion"}
{"STANDARD_NAME":"HP_CONGENITAL_MUSCULAR_TORTICOLLIS","SYSTEMATIC_NAME":"M36791","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005988","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005988","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Congenital muscular torticollis","DESCRIPTION_FULL":"A congenital form of torticollis resulting from shortening of the sternocleidomastoid muscle and leading to a limited range of motion in both rotation and lateral bending. [HPO:probinson]"}
{"STANDARD_NAME":"HP_REDUNDANT_NECK_SKIN","SYSTEMATIC_NAME":"M36792","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005989","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005989","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Redundant neck skin","DESCRIPTION_FULL":"Excess skin around the neck, often lying in horizontal folds. [PMID:19125436]"}
{"STANDARD_NAME":"HP_NODULAR_GOITER","SYSTEMATIC_NAME":"M36794","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0005994","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0005994","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Nodular goiter","DESCRIPTION_FULL":"Enlargement of the thyroid gland related to one or more nodules in the thyroid gland. [HPO:probinson]"}
{"STANDARD_NAME":"HP_URETERAL_OBSTRUCTION","SYSTEMATIC_NAME":"M36795","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006000","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006000","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ureteral obstruction","DESCRIPTION_FULL":"Obstruction of the flow of urine through the ureter. [HPO:probinson]"}
{"STANDARD_NAME":"HP_Y_SHAPED_METACARPALS","SYSTEMATIC_NAME":"M36796","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006042","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006042","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Y-shaped metacarpals","DESCRIPTION_FULL":"Y-shaped metacarpals are the result of a partial fusion of two metacarpal bones, with the two arms of the Y pointing in the distal direction. Y-shaped metacarpals may be seen in combination with polydactyly. [HPO:curators]"}
{"STANDARD_NAME":"HP_PALMAR_HYPERHIDROSIS","SYSTEMATIC_NAME":"M36797","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006089","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006089","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Palmar hyperhidrosis"}
{"STANDARD_NAME":"HP_FINGER_SYNDACTYLY","SYSTEMATIC_NAME":"M36798","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006101","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006101","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Finger syndactyly","DESCRIPTION_FULL":"Webbing or fusion of the fingers, involving soft parts only or including bone structure. Bony fusions are referred to as \\bony\\ Syndactyly if the fusion occurs in a radio-ulnar axis. Fusions of bones of the fingers in a proximo-distal axis are referred to as \\Symphalangism\\. [HPO:curators]"}
{"STANDARD_NAME":"HP_ABSENT_PHALANGEAL_CREASE","SYSTEMATIC_NAME":"M36799","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006109","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006109","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Absent phalangeal crease","DESCRIPTION_FULL":"Absence of one or more interphalangeal creases (i.e., of the transverse lines in the skin between the phalanges of the fingers). [HPO:probinson]"}
{"STANDARD_NAME":"HP_SHORTENING_OF_ALL_MIDDLE_PHALANGES_OF_THE_FINGERS","SYSTEMATIC_NAME":"M36800","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006110","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006110","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Shortening of all middle phalanges of the fingers","DESCRIPTION_FULL":"Short, hypoplastic middle phalanx of finger, affecting all fingers. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SHORTENING_OF_ALL_DISTAL_PHALANGES_OF_THE_FINGERS","SYSTEMATIC_NAME":"M36801","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006118","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006118","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Shortening of all distal phalanges of the fingers","DESCRIPTION_FULL":"Hypoplasia of all of the distal phalanx of finger. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ACRAL_ULCERATION","SYSTEMATIC_NAME":"M36802","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006121","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006121","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Acral ulceration","DESCRIPTION_FULL":"A type of digital ulcer that manifests as an open sore on the surface of the skin at the tip of a finger or toe. [PMID:20862203]"}
{"STANDARD_NAME":"HP_ABNORMAL_FINGER_FLEXION_CREASES","SYSTEMATIC_NAME":"M36803","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006143","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006143","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal finger flexion creases"}
{"STANDARD_NAME":"HP_CENTRAL_Y_SHAPED_METACARPAL","SYSTEMATIC_NAME":"M36804","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006145","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006145","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Central Y-shaped metacarpal","DESCRIPTION_FULL":"A central Y-shaped metacarpal is the result of a partial fusion of two central metacarpals (i.e., metacarpals 2-4) of the hand, with the two arms of the Y pointing in the distal direction. Central Y-shaped metacarpals may be seen as a result of a central polydactyly with partial fusion of the duplicated metacarpal. [HPO:curators]"}
{"STANDARD_NAME":"HP_INCREASED_LAXITY_OF_FINGERS","SYSTEMATIC_NAME":"M41323","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006149","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006149","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased laxity of fingers"}
{"STANDARD_NAME":"HP_SWAN_NECK_LIKE_DEFORMITIES_OF_THE_FINGERS","SYSTEMATIC_NAME":"M41324","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006150","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006150","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Swan neck-like deformities of the fingers","DESCRIPTION_FULL":"A swan neck deformity describes a finger with a hyperextended PIP joint and a flexed DIP joint. The most common cause for a swan neck-like deformity is a disruption of the end of the extensor tendon. Conditions that loosen the PIP joint and allow it to hyperextend, for example conditions that weaken the volar plate, can produce a swan neck deformity of the finger. One example is rheumatoid arthritis. Another cause are conditions that tighten up the small (intrinsic) muscles of the hand and fingers, for example hand trauma or nerve disorders, such as cerebral palsy, Parkinson's disease, or stroke. [HPO:curators]"}
{"STANDARD_NAME":"HP_MESOAXIAL_HAND_POLYDACTYLY","SYSTEMATIC_NAME":"M36805","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006159","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006159","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Mesoaxial hand polydactyly","DESCRIPTION_FULL":"The presence of a supernumerary finger (not a thumb) involving the third or fourth metacarpal with associated osseous syndactyly. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DECREASED_PALMAR_CREASES","SYSTEMATIC_NAME":"M36806","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006184","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006184","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased palmar creases","DESCRIPTION_FULL":"Poorly defined or shallow palmar creases. [PMID:19125433]"}
{"STANDARD_NAME":"HP_DEEP_PALMAR_CREASE","SYSTEMATIC_NAME":"M36807","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006191","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006191","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Deep palmar crease","DESCRIPTION_FULL":"Excessively deep creases of the palm. [PMID:19125433]"}
{"STANDARD_NAME":"HP_PHALANGEAL_DISLOCATION","SYSTEMATIC_NAME":"M41325","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006243","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006243","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Phalangeal dislocation"}
{"STANDARD_NAME":"HP_ENLARGED_INTERPHALANGEAL_JOINTS","SYSTEMATIC_NAME":"M41326","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006247","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006247","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Enlarged interphalangeal joints"}
{"STANDARD_NAME":"HP_LIMITED_WRIST_MOVEMENT","SYSTEMATIC_NAME":"M36808","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006248","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006248","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Limited wrist movement","DESCRIPTION_FULL":"An abnormal limitation of the mobility of the wrist. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LIMITED_WRIST_EXTENSION","SYSTEMATIC_NAME":"M36809","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006251","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006251","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Limited wrist extension"}
{"STANDARD_NAME":"HP_INTERPHALANGEAL_JOINT_EROSIONS","SYSTEMATIC_NAME":"M41327","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006252","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006252","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Interphalangeal joint erosions"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_HAND_JOINT_MOBILITY","SYSTEMATIC_NAME":"M36810","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006256","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006256","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of hand joint mobility"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_CARPAL_BONE_OSSIFICATION","SYSTEMATIC_NAME":"M36811","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006257","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006257","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of carpal bone ossification"}
{"STANDARD_NAME":"HP_ABNORMAL_PHALANGEAL_JOINT_MORPHOLOGY_OF_THE_HAND","SYSTEMATIC_NAME":"M41328","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006261","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006261","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal phalangeal joint morphology of the hand"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_5TH_FINGER","SYSTEMATIC_NAME":"M36812","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006262","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006262","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the 5th finger","DESCRIPTION_FULL":"A small/hypoplastic or absent/aplastic 5th finger. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_2ND_FINGER","SYSTEMATIC_NAME":"M36813","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006264","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006264","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the 2nd finger","DESCRIPTION_FULL":"A small/hypoplastic or absent/aplastic 2nd finger. [HPO:curators]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_FINGERS","SYSTEMATIC_NAME":"M36814","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006265","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006265","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of fingers","DESCRIPTION_FULL":"Small/hypoplastic or absent/aplastic fingers. [HPO:curators]"}
{"STANDARD_NAME":"HP_SMALL_PLACENTA","SYSTEMATIC_NAME":"M36815","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006266","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006266","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Small placenta","DESCRIPTION_FULL":"Reduced size of the placenta. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LARGE_PLACENTA","SYSTEMATIC_NAME":"M41329","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006267","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006267","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Large placenta","DESCRIPTION_FULL":"Increased size of the placenta. [HPO:probinson]"}
{"STANDARD_NAME":"HP_REDUCED_PANCREATIC_BETA_CELLS","SYSTEMATIC_NAME":"M36816","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006274","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006274","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Reduced pancreatic beta cells","DESCRIPTION_FULL":"Reduced number of beta cells in the pancreatic islets of Langerhans. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPOMINERALIZATION_OF_ENAMEL","SYSTEMATIC_NAME":"M36818","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006285","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006285","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypomineralization of enamel","DESCRIPTION_FULL":"A decreased amount of enamel mineralization. [HPO:probinson]"}
{"STANDARD_NAME":"HP_YELLOW_BROWN_DISCOLORATION_OF_THE_TEETH","SYSTEMATIC_NAME":"M36819","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006286","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006286","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Yellow-brown discoloration of the teeth"}
{"STANDARD_NAME":"HP_ADVANCED_ERUPTION_OF_TEETH","SYSTEMATIC_NAME":"M36820","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006288","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006288","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Advanced eruption of teeth","DESCRIPTION_FULL":"Premature tooth eruption, which can be defined as tooth eruption more than 2 SD earlier than the mean eruption age. [HPO:ibailleulforestier, PMID:19125428]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_DENTAL_ERUPTION","SYSTEMATIC_NAME":"M36821","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006292","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006292","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of dental eruption","DESCRIPTION_FULL":"An abnormality of tooth eruption. [HPO:ibailleulforestier]"}
{"STANDARD_NAME":"HP_HYPOPLASIA_OF_DENTAL_ENAMEL","SYSTEMATIC_NAME":"M36822","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006297","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006297","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypoplasia of dental enamel","DESCRIPTION_FULL":"Developmental hypoplasia of the dental enamel. [HPO:ibailleulforestier, PMID:18499550]"}
{"STANDARD_NAME":"HP_PROLONGED_BLEEDING_AFTER_DENTAL_EXTRACTION","SYSTEMATIC_NAME":"M36823","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006298","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006298","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Prolonged bleeding after dental extraction","DESCRIPTION_FULL":"Prolonged bleeding post dental extraction sufficient to require medical intervention. [HPO:probinson, WWW:wouwehand]"}
{"STANDARD_NAME":"HP_ATROPHY_OF_ALVEOLAR_RIDGES","SYSTEMATIC_NAME":"M41330","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006308","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006308","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Atrophy of alveolar ridges"}
{"STANDARD_NAME":"HP_WIDELY_SPACED_PRIMARY_TEETH","SYSTEMATIC_NAME":"M41331","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006313","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006313","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Widely spaced primary teeth","DESCRIPTION_FULL":"Increased space between the primary teeth. Note this phenotype should be distinguished from increased space due purely to microdontia. [HPO:ibailleulforestier]"}
{"STANDARD_NAME":"HP_SINGLE_MEDIAN_MAXILLARY_INCISOR","SYSTEMATIC_NAME":"M36824","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006315","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006315","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Single median maxillary incisor","DESCRIPTION_FULL":"The presence of a single, median maxillary incisor, affecting both the primary maxillary incisor and the permanent maxillary incisor. [PMID:19125428]"}
{"STANDARD_NAME":"HP_PREMATURE_LOSS_OF_PRIMARY_TEETH","SYSTEMATIC_NAME":"M36825","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006323","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006323","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Premature loss of primary teeth","DESCRIPTION_FULL":"Loss of the primary (also known as deciduous) teeth before the usual age. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_SUPERNUMERARY_MAXILLARY_INCISOR","SYSTEMATIC_NAME":"M36826","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006332","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006332","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Supernumerary maxillary incisor","DESCRIPTION_FULL":"The presence of a supernumerary, i.e., extra, maxillary incisor, either the primary maxillary incisor or the permanent maxillary incisor. [HPO:ibailleulforestier]"}
{"STANDARD_NAME":"HP_HYPOPLASIA_OF_THE_PRIMARY_TEETH","SYSTEMATIC_NAME":"M41332","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006334","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006334","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypoplasia of the primary teeth","DESCRIPTION_FULL":"Developmental hypoplasia of the primary teeth. [HPO:ibailleulforestier]"}
{"STANDARD_NAME":"HP_PERSISTENCE_OF_PRIMARY_TEETH","SYSTEMATIC_NAME":"M36827","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006335","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006335","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Persistence of primary teeth","DESCRIPTION_FULL":"Persistence of the primary teeth beyond the age by which they normally are shed and replaced by the permanent teeth. [HPO:ibailleulforestier]"}
{"STANDARD_NAME":"HP_PEG_SHAPED_MAXILLARY_LATERAL_INCISORS","SYSTEMATIC_NAME":"M36828","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006342","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006342","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Peg-shaped maxillary lateral incisors","DESCRIPTION_FULL":"Peg-shaped upper lateral secondary incisor tooth. [HPO:ibailleulforestier]"}
{"STANDARD_NAME":"HP_AGENESIS_OF_PERMANENT_TEETH","SYSTEMATIC_NAME":"M36829","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006349","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006349","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Agenesis of permanent teeth","DESCRIPTION_FULL":"A congenital defect characterized by the absence of one or more permanent teeth, including oligodontia, hypodontia, and adontia of the of permanent teeth. [HPO:probinson]"}
{"STANDARD_NAME":"HP_FAILURE_OF_ERUPTION_OF_PERMANENT_TEETH","SYSTEMATIC_NAME":"M36830","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006352","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006352","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Failure of eruption of permanent teeth","DESCRIPTION_FULL":"Lack of tooth eruption of the secondary dentition. [HPO:ibailleulforestier]"}
{"STANDARD_NAME":"HP_PREMATURE_LOSS_OF_PERMANENT_TEETH","SYSTEMATIC_NAME":"M41333","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006357","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006357","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Premature loss of permanent teeth","DESCRIPTION_FULL":"Premature loss of the permanent teeth. [HPO:ibailleulforestier]"}
{"STANDARD_NAME":"HP_IRREGULAR_FEMORAL_EPIPHYSIS","SYSTEMATIC_NAME":"M36831","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006361","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006361","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Irregular femoral epiphysis"}
{"STANDARD_NAME":"HP_CRUMPLED_LONG_BONES","SYSTEMATIC_NAME":"M36832","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006367","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006367","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Crumpled long bones","DESCRIPTION_FULL":"An crumpled radiographic appearance of the long bones, as if the long bone had been crushed together producing irregularities. This feature is the result of multiple fractures and repeated rounds of ineffective healing, as can be seen for instance in severe forms of osteogenesis imperfecta. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LIMITED_ELBOW_FLEXION","SYSTEMATIC_NAME":"M36833","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006376","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006376","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Limited elbow flexion"}
{"STANDARD_NAME":"HP_KNEE_FLEXION_CONTRACTURE","SYSTEMATIC_NAME":"M36834","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006380","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006380","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Knee flexion contracture","DESCRIPTION_FULL":"A bent (flexed) knee joint that cannot be straightened actively or passively. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SHORT_LOWER_LIMBS","SYSTEMATIC_NAME":"M36835","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006385","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006385","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Short lower limbs","DESCRIPTION_FULL":"Shortening of the legs related to developmental hypoplasia of the bones of the leg. [HPO:probinson]"}
{"STANDARD_NAME":"HP_OVERTUBULATED_LONG_BONES","SYSTEMATIC_NAME":"M36837","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006391","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006391","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Overtubulated long bones","DESCRIPTION_FULL":"Overconstriction, or narrowness of the diaphysis and metaphysis of long bones. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INCREASED_DENSITY_OF_LONG_BONES","SYSTEMATIC_NAME":"M36838","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006392","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006392","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased density of long bones","DESCRIPTION_FULL":"An abnormal increase in the bone density of the long bones. [HPO:curators]"}
{"STANDARD_NAME":"HP_LIMITED_PRONATION_SUPINATION_OF_FOREARM","SYSTEMATIC_NAME":"M36839","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006394","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006394","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Limited pronation/supination of forearm","DESCRIPTION_FULL":"A limitation of the ability to place the forearm in a position such that the palm faces anteriorly (supination) and to place the forearm in a position such that the palm faces posteriorly (pronation). [HPO:probinson]"}
{"STANDARD_NAME":"HP_BROAD_FEMORAL_NECK","SYSTEMATIC_NAME":"M36840","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006429","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006429","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Broad femoral neck","DESCRIPTION_FULL":"An abnormally wide femoral neck (which is the process of bone, connecting the femoral head with the femoral shaft). [HPO:probinson]"}
{"STANDARD_NAME":"HP_PROXIMAL_FEMORAL_METAPHYSEAL_ABNORMALITY","SYSTEMATIC_NAME":"M36841","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006431","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006431","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Proximal femoral metaphyseal abnormality","DESCRIPTION_FULL":"An anomaly of the metaphysis of the proximal femur (close to the hip). [HPO:probinson]"}
{"STANDARD_NAME":"HP_PATELLAR_APLASIA","SYSTEMATIC_NAME":"M36842","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006443","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006443","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Patellar aplasia","DESCRIPTION_FULL":"Absence of the patella. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INCREASED_LAXITY_OF_ANKLES","SYSTEMATIC_NAME":"M36843","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006460","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006460","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased laxity of ankles"}
{"STANDARD_NAME":"HP_PROXIMAL_FEMORAL_EPIPHYSIOLYSIS","SYSTEMATIC_NAME":"M36844","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006461","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006461","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Proximal femoral epiphysiolysis","DESCRIPTION_FULL":"Slipped capital femoral epiphysis is defined as a posterior and inferior slippage of the proximal epiphysis of the femur onto the metaphysis (femoral neck), occurring through the physeal plate during the early adolescent growth spurt. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ANKLE_FLEXION_CONTRACTURE","SYSTEMATIC_NAME":"M36845","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006466","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006466","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ankle flexion contracture","DESCRIPTION_FULL":"A chronic loss of ankle joint motion due to structural changes in muscle, tendons, ligaments, or skin that prevent normal movement of the joints of the ankle. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_ALVEOLAR_RIDGES","SYSTEMATIC_NAME":"M36847","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006477","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006477","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the alveolar ridges","DESCRIPTION_FULL":"Any abnormality of the alveolar ridges (on the upper or lower jaws). The alveolar ridges contain the sockets (alveoli) of the teeth. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_DENTAL_PULP","SYSTEMATIC_NAME":"M41334","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006479","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006479","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the dental pulp","DESCRIPTION_FULL":"An abnormality of the dental pulp. [HPO:ibailleulforestier]"}
{"STANDARD_NAME":"HP_PREMATURE_LOSS_OF_TEETH","SYSTEMATIC_NAME":"M36848","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006480","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006480","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Premature loss of teeth","DESCRIPTION_FULL":"Premature loss of teeth not related to trauma or neglect. [HPO:ibailleulforestier]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_PRIMARY_TEETH","SYSTEMATIC_NAME":"M36849","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006481","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006481","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of primary teeth","DESCRIPTION_FULL":"Any abnormality of the primary tooth. [HPO:ibailleulforestier]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_DENTAL_MORPHOLOGY","SYSTEMATIC_NAME":"M36850","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006482","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006482","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of dental morphology","DESCRIPTION_FULL":"An abnormality of the morphology of the tooth. [HPO:ibailleulforestier]"}
{"STANDARD_NAME":"HP_ABNORMAL_NUMBER_OF_TEETH","SYSTEMATIC_NAME":"M36851","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006483","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006483","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal number of teeth","DESCRIPTION_FULL":"The presence of an altered number of of teeth. [HPO:ibailleulforestier]"}
{"STANDARD_NAME":"HP_AGENESIS_OF_INCISOR","SYSTEMATIC_NAME":"M36852","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006485","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006485","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Agenesis of incisor","DESCRIPTION_FULL":"Agenesis of incisor. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_DENTAL_ROOT","SYSTEMATIC_NAME":"M41335","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006486","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006486","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the dental root","DESCRIPTION_FULL":"An abnormality of the dental root. [HPO:ibailleulforestier]"}
{"STANDARD_NAME":"HP_BOWING_OF_THE_ARM","SYSTEMATIC_NAME":"M36853","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006488","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006488","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Bowing of the arm","DESCRIPTION_FULL":"A bending or abnormal curvature affecting a long bone of the arm. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_LOWER_LIMB_METAPHYSES","SYSTEMATIC_NAME":"M36854","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006490","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006490","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of lower-limb metaphyses"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_FIBULA","SYSTEMATIC_NAME":"M36855","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006492","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006492","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the fibula","DESCRIPTION_FULL":"Absence or underdevelopment of the fibula. [HPO:curators]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_INVOLVING_BONES_OF_THE_LOWER_LIMBS","SYSTEMATIC_NAME":"M36856","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006493","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006493","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/hypoplasia involving bones of the lower limbs","DESCRIPTION_FULL":"Absence (due to failure to form) or underdevelopment of the bones of the lower limbs. [HPO:probinson]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_INVOLVING_BONES_OF_THE_FEET","SYSTEMATIC_NAME":"M36857","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006494","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006494","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia involving bones of the feet"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_ULNA","SYSTEMATIC_NAME":"M36858","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006495","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006495","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the ulna","DESCRIPTION_FULL":"Absence or underdevelopment of the ulna. [HPO:curators]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_INVOLVING_BONES_OF_THE_UPPER_LIMBS","SYSTEMATIC_NAME":"M36859","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006496","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006496","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/hypoplasia involving bones of the upper limbs","DESCRIPTION_FULL":"Absence (due to failure to form) or underdevelopment of the bones of the upper limbs. [HPO:probinson]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_PATELLA","SYSTEMATIC_NAME":"M36860","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006498","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006498","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the patella","DESCRIPTION_FULL":"Absence or underdevelopment of the patella. [HPO:curators]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_LOWER_LIMB_EPIPHYSIS_MORPHOLOGY","SYSTEMATIC_NAME":"M36861","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006500","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006500","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of lower limb epiphysis morphology","DESCRIPTION_FULL":"An anomaly of one or more epiphyses of one or both legs. []"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_RADIUS","SYSTEMATIC_NAME":"M36862","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006501","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006501","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the radius","DESCRIPTION_FULL":"A small/hypoplastic or absent/aplastic radius. [HPO:probinson]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_INVOLVING_THE_CARPAL_BONES","SYSTEMATIC_NAME":"M36863","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006502","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006502","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia involving the carpal bones","DESCRIPTION_FULL":"Absence or underdevelopment of the carpal bones. [HPO:curators]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_INVOLVING_FOREARM_BONES","SYSTEMATIC_NAME":"M36864","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006503","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006503","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/hypoplasia involving forearm bones","DESCRIPTION_FULL":"Absence (due to failure to form) or underdevelopment of one or more forearm bones. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_LIMB_EPIPHYSIS_MORPHOLOGY","SYSTEMATIC_NAME":"M36865","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006505","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006505","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of limb epiphysis morphology","DESCRIPTION_FULL":"An anomaly of one or more epiphyses of a limb. []"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_HUMERUS","SYSTEMATIC_NAME":"M36866","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006507","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006507","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/hypoplasia of the humerus","DESCRIPTION_FULL":"Absence (due to failure to form) or underdevelopment of the humerus. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CHRONIC_PULMONARY_OBSTRUCTION","SYSTEMATIC_NAME":"M36867","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006510","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006510","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Chronic pulmonary obstruction","DESCRIPTION_FULL":"An anomaly that is characterized progressive airflow obstruction that is only partly reversible, inflammation in the airways, and systemic effects or comorbities. [PMID:25943942]"}
{"STANDARD_NAME":"HP_LARYNGEAL_STRIDOR","SYSTEMATIC_NAME":"M36868","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006511","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006511","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Laryngeal stridor","DESCRIPTION_FULL":"An abnormal high-pitched noisy sound, occurring during inhalation or exhalation caused by the incomplete obstruction in the throat. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INTERSTITIAL_PNEUMONITIS","SYSTEMATIC_NAME":"M36869","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006515","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006515","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Interstitial pneumonitis"}
{"STANDARD_NAME":"HP_INTRAALVEOLAR_PHOSPHOLIPID_ACCUMULATION","SYSTEMATIC_NAME":"M41336","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006517","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006517","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Intraalveolar phospholipid accumulation","DESCRIPTION_FULL":"Accumulation of amorphous PAS-positive material in the space betweem alveolar macrophages, sometimes as condensed form (oval bodies) are typically found in alveolar proteinosis. [HPO:probinson, PMID:21900000, PMID:22891182]"}
{"STANDARD_NAME":"HP_PROGRESSIVE_PULMONARY_FUNCTION_IMPAIRMENT","SYSTEMATIC_NAME":"M36870","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006520","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006520","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Progressive pulmonary function impairment"}
{"STANDARD_NAME":"HP_PULMONARY_LYMPHANGIECTASIA","SYSTEMATIC_NAME":"M41337","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006521","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006521","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pulmonary lymphangiectasia","DESCRIPTION_FULL":"Abnormal dilatation of the pulmonary lymphatic vessels. Lymphatic fluid in the lung is derived from normal leakage of fluid out of the blood capillaries in the lung. In pulmonary lymphangiectasia, the pulmonary lymphatics are not properly connected and become dilated with fluid. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CHRONIC_LUNG_DISEASE","SYSTEMATIC_NAME":"M36871","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006528","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006528","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Chronic lung disease","DESCRIPTION_FULL":"According to the definitions of the American and British Thoracic Societies, including pulmonary functional tests, X-rays, and CT scans for items such as fibrosis, bronchiectasis, bullae, emphysema, nodular or lymphomatous abnormalities. [IMM:tkuijpers]"}
{"STANDARD_NAME":"HP_ABNORMAL_PULMONARY_INTERSTITIAL_MORPHOLOGY","SYSTEMATIC_NAME":"M36872","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006530","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006530","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal pulmonary Interstitial morphology","DESCRIPTION_FULL":"Abnormality of the lung parenchyma extending to the pulmonary interstitium and leading to diffuse pulmonary fibrosis. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RECURRENT_PNEUMONIA","SYSTEMATIC_NAME":"M36873","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006532","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006532","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Recurrent pneumonia","DESCRIPTION_FULL":"An increased susceptibility to pneumonia as manifested by a history of recurrent episodes of pneumonia. [HPO:probinson, PMID:15750465]"}
{"STANDARD_NAME":"HP_RECURRENT_INTRAPULMONARY_HEMORRHAGE","SYSTEMATIC_NAME":"M36874","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006535","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006535","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Recurrent intrapulmonary hemorrhage","DESCRIPTION_FULL":"A recurrent hemorrhage occurring within the lung. [HPO:gcarletti]"}
{"STANDARD_NAME":"HP_AIRWAY_OBSTRUCTION","SYSTEMATIC_NAME":"M36875","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006536","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006536","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Airway obstruction","DESCRIPTION_FULL":"Obstruction of conducting airways of the lung. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RECURRENT_BRONCHOPULMONARY_INFECTIONS","SYSTEMATIC_NAME":"M36876","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006538","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006538","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Recurrent bronchopulmonary infections","DESCRIPTION_FULL":"An increased susceptibility to bronchopulmonary infections as manifested by a history of recurrent bronchopulmonary infections. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CARDIORESPIRATORY_ARREST","SYSTEMATIC_NAME":"M36877","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006543","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006543","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cardiorespiratory arrest"}
{"STANDARD_NAME":"HP_UNILATERAL_PRIMARY_PULMONARY_DYSGENESIS","SYSTEMATIC_NAME":"M36878","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006549","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006549","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Unilateral primary pulmonary dysgenesis"}
{"STANDARD_NAME":"HP_ACUTE_HEPATIC_FAILURE","SYSTEMATIC_NAME":"M36879","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006554","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006554","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Acute hepatic failure","DESCRIPTION_FULL":"Hepatic failure refers to the inability of the liver to perform its normal synthetic and metabolic functions, which can result in coagulopathy and alteration in the mental status of a previously healthy individual. Hepatic failure is defined as acute if there is onset of encephalopathy within 8 weeks of the onset of symptoms in a patient with a previously healthy liver. [HPO:curators]"}
{"STANDARD_NAME":"HP_POLYCYSTIC_LIVER_DISEASE","SYSTEMATIC_NAME":"M36880","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006557","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006557","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Polycystic liver disease"}
{"STANDARD_NAME":"HP_LIPID_ACCUMULATION_IN_HEPATOCYTES","SYSTEMATIC_NAME":"M36881","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006561","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006561","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Lipid accumulation in hepatocytes"}
{"STANDARD_NAME":"HP_VIRAL_HEPATITIS","SYSTEMATIC_NAME":"M36882","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006562","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006562","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Viral hepatitis","DESCRIPTION_FULL":"Inflammation of the liver due to infection with a virus. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INCREASED_HEPATIC_GLYCOGEN_CONTENT","SYSTEMATIC_NAME":"M41338","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006568","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006568","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased hepatic glycogen content","DESCRIPTION_FULL":"An increase in the amount of glycogen stored in hepatocytes compared to normal. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SUBACUTE_PROGRESSIVE_VIRAL_HEPATITIS","SYSTEMATIC_NAME":"M36884","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006572","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006572","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Subacute progressive viral hepatitis"}
{"STANDARD_NAME":"HP_PROLONGED_NEONATAL_JAUNDICE","SYSTEMATIC_NAME":"M36885","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006579","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006579","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Prolonged neonatal jaundice","DESCRIPTION_FULL":"Neonatal jaundice refers to a yellowing of the skin and other tissues of a newborn infant as a result of increased concentrations of bilirubin in the blood. Neonatal jaundice affects over half of all newborns to some extent in the first week of life. Prolonged neonatal jaundice is said to be present if the jaundice persists for longer than 14 days in term infants and 21 days in preterm infants. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PORTAL_FIBROSIS","SYSTEMATIC_NAME":"M36886","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006580","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006580","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Portal fibrosis","DESCRIPTION_FULL":"Fibroblast proliferation and fiber expansion from the portal areas to the lobule. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CONGENITAL_PSEUDOARTHROSIS_OF_THE_CLAVICLE","SYSTEMATIC_NAME":"M36887","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006585","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006585","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Congenital pseudoarthrosis of the clavicle","DESCRIPTION_FULL":"The two portions of the clavicle (corresponding to the two primary ossification centers of the clavicle) are connected by a fibrous bridge that is contiguous with the periosteum, and a synovial membrane develops, resulting in a clavicle with a bipartite appearance radiographically. Congenital pseudarthrosis of the clavicle generally presents as a painless mass or swelling over the clavicle. [HPO:probinson, PMID:22295044]"}
{"STANDARD_NAME":"HP_DIAPHRAGMATIC_PARALYSIS","SYSTEMATIC_NAME":"M36888","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006597","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006597","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Diaphragmatic paralysis","DESCRIPTION_FULL":"The presence of a paralyzed diaphragm. [HPO:probinson, PMID:3612666]"}
{"STANDARD_NAME":"HP_WIDE_INTERMAMILLARY_DISTANCE","SYSTEMATIC_NAME":"M36889","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006610","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006610","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Wide intermamillary distance","DESCRIPTION_FULL":"A larger than usual distance between the left and right nipple. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABSENT_STERNAL_OSSIFICATION","SYSTEMATIC_NAME":"M36890","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006628","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006628","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Absent sternal ossification","DESCRIPTION_FULL":"Lack of formation of mineralized bony tissue of the sternum. [HPO:probinson]"}
{"STANDARD_NAME":"HP_THORACIC_DYSPLASIA","SYSTEMATIC_NAME":"M36891","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006644","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006644","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Thoracic dysplasia"}
{"STANDARD_NAME":"HP_THIN_CLAVICLES","SYSTEMATIC_NAME":"M36892","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006645","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006645","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Thin clavicles","DESCRIPTION_FULL":"Abnormally reduced diameter (cross section) of the clavicles. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RIB_SEGMENTATION_ABNORMALITIES","SYSTEMATIC_NAME":"M36893","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006655","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006655","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Rib segmentation abnormalities"}
{"STANDARD_NAME":"HP_APLASTIC_CLAVICLE","SYSTEMATIC_NAME":"M36894","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006660","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006660","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplastic clavicle","DESCRIPTION_FULL":"Absence of the clavicles as a developmental defect. [HPO:probinson]"}
{"STANDARD_NAME":"HP_REDUCED_SYSTOLIC_FUNCTION","SYSTEMATIC_NAME":"M36895","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006673","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006673","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Reduced systolic function"}
{"STANDARD_NAME":"HP_VENTRICULAR_EXTRASYSTOLES","SYSTEMATIC_NAME":"M36896","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006682","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006682","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ventricular extrasystoles","DESCRIPTION_FULL":"Premature ventricular contractions (PVC) or ventricular extrasystoles are premature contractions of the heart that arise in response to an impulse in the ventricles rather than the normal impulse from the sinoatrial (SA) node. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ENDOCARDIAL_FIBROSIS","SYSTEMATIC_NAME":"M36897","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006685","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006685","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Endocardial fibrosis","DESCRIPTION_FULL":"The presence of excessive connective tissue in the endocardium. [HPO:probinson, PMID:29043203]"}
{"STANDARD_NAME":"HP_BACTERIAL_ENDOCARDITIS","SYSTEMATIC_NAME":"M36898","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006689","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006689","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Bacterial endocarditis","DESCRIPTION_FULL":"A bacterial infection of the endocardium, the inner layer of the heart, which usually involves the heart valves. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_ATRIOVENTRICULAR_CANAL_DEFECT","SYSTEMATIC_NAME":"M36899","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006695","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006695","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Atrioventricular canal defect","DESCRIPTION_FULL":"A defect of the atrioventricular septum of the heart. [HPO:probinson, PMID:12632326]"}
{"STANDARD_NAME":"HP_DILATATION_OF_THE_VENTRICULAR_CAVITY","SYSTEMATIC_NAME":"M36900","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006698","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006698","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Dilatation of the ventricular cavity","DESCRIPTION_FULL":"A localized outpouching of ventricular cavity that is generally associated with dyskinesia and paradoxical expansion during systole. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PREMATURE_ATRIAL_CONTRACTIONS","SYSTEMATIC_NAME":"M41339","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006699","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006699","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Premature atrial contractions","DESCRIPTION_FULL":"A type of cardiac arrhythmia with premature atrial contractions or beats caused by signals originating from ectopic atrial sites. []"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_LUNGS","SYSTEMATIC_NAME":"M36901","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006703","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006703","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the lungs"}
{"STANDARD_NAME":"HP_ABNORMAL_CORONARY_ARTERY_MORPHOLOGY","SYSTEMATIC_NAME":"M36902","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006704","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006704","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal coronary artery morphology","DESCRIPTION_FULL":"Any structural abnormality of the coronary arteries. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_ATRIOVENTRICULAR_VALVE_MORPHOLOGY","SYSTEMATIC_NAME":"M36903","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006705","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006705","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal atrioventricular valve morphology","DESCRIPTION_FULL":"An abnormality of an atrioventricular valve. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CYSTIC_LIVER_DISEASE","SYSTEMATIC_NAME":"M36904","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006706","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006706","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cystic liver disease"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_HEPATIC_VASCULATURE","SYSTEMATIC_NAME":"M36905","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006707","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006707","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the hepatic vasculature","DESCRIPTION_FULL":"An abnormality of the hepatic vasculature. [HPO:probinson]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_NIPPLES","SYSTEMATIC_NAME":"M36906","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006709","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006709","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the nipples"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_CLAVICLES","SYSTEMATIC_NAME":"M36907","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006710","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006710","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the clavicles","DESCRIPTION_FULL":"Absence or underdevelopment of the clavicles (collar bones). [HPO:curators]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_INVOLVING_BONES_OF_THE_THORAX","SYSTEMATIC_NAME":"M36908","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006711","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006711","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia involving bones of the thorax"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_RIBS","SYSTEMATIC_NAME":"M36909","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006712","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006712","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the ribs"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_SCAPULAE","SYSTEMATIC_NAME":"M36910","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006713","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006713","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the scapulae"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_STERNUM","SYSTEMATIC_NAME":"M36911","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006714","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006714","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the sternum"}
{"STANDARD_NAME":"HP_HEREDITARY_NONPOLYPOSIS_COLORECTAL_CARCINOMA","SYSTEMATIC_NAME":"M36912","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006716","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006716","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hereditary nonpolyposis colorectal carcinoma"}
{"STANDARD_NAME":"HP_ACUTE_LYMPHOBLASTIC_LEUKEMIA","SYSTEMATIC_NAME":"M36913","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006721","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006721","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Acute lymphoblastic leukemia","DESCRIPTION_FULL":"A form of acute leukemia characterized by excess lympoblasts. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INTESTINAL_CARCINOID","SYSTEMATIC_NAME":"M41340","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006723","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006723","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Intestinal carcinoid"}
{"STANDARD_NAME":"HP_PANCREATIC_ADENOCARCINOMA","SYSTEMATIC_NAME":"M36914","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006725","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006725","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pancreatic adenocarcinoma","DESCRIPTION_FULL":"The presence of an adenocarcinoma of the pancreas. [HPO:probinson]"}
{"STANDARD_NAME":"HP_FOLLICULAR_THYROID_CARCINOMA","SYSTEMATIC_NAME":"M36915","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006731","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006731","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Follicular thyroid carcinoma","DESCRIPTION_FULL":"The presence of an follicular adenocarcinoma of the thyroid gland. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SQUAMOUS_CELL_CARCINOMA_OF_THE_SKIN","SYSTEMATIC_NAME":"M36916","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006739","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006739","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Squamous cell carcinoma of the skin","DESCRIPTION_FULL":"Squamous cell carcinoma of the skin is a malignant tumor of squamous epithelium. [HPO:curators]"}
{"STANDARD_NAME":"HP_ADRENOCORTICAL_CARCINOMA","SYSTEMATIC_NAME":"M36917","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006744","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006744","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Adrenocortical carcinoma","DESCRIPTION_FULL":"A malignant neoplasm of the adrenal cortex that may produce hormones such as cortisol, aldosterone, estrogen, or testosterone. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NEOPLASM_OF_THE_STOMACH","SYSTEMATIC_NAME":"M36918","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006753","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006753","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neoplasm of the stomach","DESCRIPTION_FULL":"A tumor (abnormal growth of tissue) of the stomach. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MALIGNANT_GENITOURINARY_TRACT_TUMOR","SYSTEMATIC_NAME":"M41341","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006758","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006758","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Malignant genitourinary tract tumor","DESCRIPTION_FULL":"The presence of a malignant neoplasm of the genital system. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CHONDROSARCOMA","SYSTEMATIC_NAME":"M36919","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006765","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006765","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Chondrosarcoma","DESCRIPTION_FULL":"A slowly growing malignant neoplasm derived from cartilage cells. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PAPILLARY_RENAL_CELL_CARCINOMA","SYSTEMATIC_NAME":"M36920","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006766","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006766","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Papillary renal cell carcinoma","DESCRIPTION_FULL":"The presence of renal cell carcinoma in the renal papilla. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PITUITARY_PROLACTIN_CELL_ADENOMA","SYSTEMATIC_NAME":"M36921","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006767","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006767","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pituitary prolactin cell adenoma","DESCRIPTION_FULL":"A type of pituitary adenoma originating in prolactin secreting cells. This kind of adenoma is characterized by overproduction of prolactin, and may cause loss of menstrual periods and breast milk production in women. [DDD:spark]"}
{"STANDARD_NAME":"HP_DUODENAL_ADENOCARCINOMA","SYSTEMATIC_NAME":"M36922","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006771","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006771","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Duodenal adenocarcinoma","DESCRIPTION_FULL":"A malignant epithelial tumor with a glandular organization that originates in the duodenum. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RENAL_ANGIOMYOLIPOMA","SYSTEMATIC_NAME":"M41342","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006772","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006772","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Renal angiomyolipoma","DESCRIPTION_FULL":"A benign renal neoplasm composed of fat, vascular, and smooth muscle elements. [HPO:probinson]"}
{"STANDARD_NAME":"HP_OVARIAN_PAPILLARY_ADENOCARCINOMA","SYSTEMATIC_NAME":"M36923","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006774","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006774","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ovarian papillary adenocarcinoma","DESCRIPTION_FULL":"The presence of a papillary adenocarcinoma of the ovary. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ALVEOLAR_RHABDOMYOSARCOMA","SYSTEMATIC_NAME":"M36924","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006779","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006779","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Alveolar rhabdomyosarcoma"}
{"STANDARD_NAME":"HP_PARATHYROID_CARCINOMA","SYSTEMATIC_NAME":"M41343","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006780","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006780","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Parathyroid carcinoma","DESCRIPTION_FULL":"A malignancy of the parathyroid glands. Parathyroid carcinoma usually secretes parathyroid hormone, leading to hyperparathyroidism. [HPO:probinson]"}
{"STANDARD_NAME":"HP_POSTERIOR_PHARYNGEAL_CLEFT","SYSTEMATIC_NAME":"M36925","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006783","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006783","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Posterior pharyngeal cleft"}
{"STANDARD_NAME":"HP_LIMB_GIRDLE_MUSCULAR_DYSTROPHY","SYSTEMATIC_NAME":"M36926","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006785","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006785","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Limb-girdle muscular dystrophy","DESCRIPTION_FULL":"Muscular dystrophy affecting the muscles of the limb girdle (the hips and shoulders). [HPO:curators]"}
{"STANDARD_NAME":"HP_BASAL_GANGLIA_CYSTS","SYSTEMATIC_NAME":"M36927","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006799","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006799","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Basal ganglia cysts"}
{"STANDARD_NAME":"HP_HYPERACTIVE_DEEP_TENDON_REFLEXES","SYSTEMATIC_NAME":"M36928","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006801","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006801","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hyperactive deep tendon reflexes"}
{"STANDARD_NAME":"HP_ABNORMAL_ANTERIOR_HORN_CELL_MORPHOLOGY","SYSTEMATIC_NAME":"M36929","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006802","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006802","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal anterior horn cell morphology","DESCRIPTION_FULL":"Any anomaly of the anterior horn cell. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CEREBRAL_HYPOMYELINATION","SYSTEMATIC_NAME":"M36930","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006808","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006808","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cerebral hypomyelination","DESCRIPTION_FULL":"Reduced amount of myelin in the nervous system resulting from defective myelinogenesis in the white matter of the central nervous system. [HPO:probinson]"}
{"STANDARD_NAME":"HP_FOCAL_HEMICLONIC_SEIZURE","SYSTEMATIC_NAME":"M36931","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006813","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006813","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Focal hemiclonic seizure","DESCRIPTION_FULL":"A type of focal clonic seizure characterized by sustained rhythmic jerking rapidly involves one side of the body at seizure onset. []"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_CEREBELLAR_VERMIS","SYSTEMATIC_NAME":"M36932","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006817","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006817","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the cerebellar vermis","DESCRIPTION_FULL":"Absence or underdevelopment of the vermis of cerebellum. [HPO:curators]"}
{"STANDARD_NAME":"HP_SEVERE_MUSCULAR_HYPOTONIA","SYSTEMATIC_NAME":"M36934","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006829","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006829","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Severe muscular hypotonia","DESCRIPTION_FULL":"A severe degree of muscular hypotonia characterized by markedly reduced muscle tone. [HPO:curators]"}
{"STANDARD_NAME":"HP_ACUTE_ENCEPHALOPATHY","SYSTEMATIC_NAME":"M36935","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006846","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006846","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Acute encephalopathy"}
{"STANDARD_NAME":"HP_HYPOPLASIA_OF_THE_VENTRAL_PONS","SYSTEMATIC_NAME":"M41344","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006850","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006850","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypoplasia of the ventral pons","DESCRIPTION_FULL":"Underdevelopment of the ventral portion of the pons. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CEREBELLAR_VERMIS_ATROPHY","SYSTEMATIC_NAME":"M36936","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006855","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006855","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cerebellar vermis atrophy","DESCRIPTION_FULL":"Wasting (atrophy) of the vermis of cerebellum. [HPO:probinson]"}
{"STANDARD_NAME":"HP_IMPAIRED_DISTAL_PROPRIOCEPTION","SYSTEMATIC_NAME":"M36937","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006858","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006858","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Impaired distal proprioception","DESCRIPTION_FULL":"A loss or impairment of the sensation of the relative position of parts of the body and joint position occuring at distal joints. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SEVERE_EXPRESSIVE_LANGUAGE_DELAY","SYSTEMATIC_NAME":"M36938","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006863","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006863","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Severe expressive language delay","DESCRIPTION_FULL":"A severe delay in the acquisition of the ability to use language to communicate needs, wishes, or thoughts. [DDD:hvfirth]"}
{"STANDARD_NAME":"HP_LOBAR_HOLOPROSENCEPHALY","SYSTEMATIC_NAME":"M36939","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006870","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006870","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Lobar holoprosencephaly","DESCRIPTION_FULL":"A type of holoprosencephaly in which most of the right and left cerebral hemispheres and lateral ventricles are separated but the most rostral aspect of the telencephalon, the frontal lobes, are fused, especially ventrally. [gc:hpe]"}
{"STANDARD_NAME":"HP_CEREBRAL_HYPOPLASIA","SYSTEMATIC_NAME":"M36940","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006872","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006872","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cerebral hypoplasia","DESCRIPTION_FULL":"Underdevelopment of the cerebrum. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PONTOCEREBELLAR_ATROPHY","SYSTEMATIC_NAME":"M36941","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006879","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006879","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pontocerebellar atrophy","DESCRIPTION_FULL":"Atrophy affecting the pons and the cerebellum. [HPO:probinson]"}
{"STANDARD_NAME":"HP_IMPAIRED_DISTAL_VIBRATION_SENSATION","SYSTEMATIC_NAME":"M36942","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006886","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006886","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Impaired distal vibration sensation","DESCRIPTION_FULL":"A decrease in the ability to perceive vibration in the distal portions of the limbs. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INTELLECTUAL_DISABILITY_PROGRESSIVE","SYSTEMATIC_NAME":"M36943","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006887","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006887","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Intellectual disability, progressive","DESCRIPTION_FULL":"The term progressive intellectual disability should be used if intelligence decreases/deteriorates over time. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MENINGOENCEPHALOCELE","SYSTEMATIC_NAME":"M36944","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006888","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006888","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Meningoencephalocele"}
{"STANDARD_NAME":"HP_INTELLECTUAL_DISABILITY_BORDERLINE","SYSTEMATIC_NAME":"M36945","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006889","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006889","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Intellectual disability, borderline","DESCRIPTION_FULL":"Borderline intellectual disability is defined as an intelligence quotient (IQ) in the range of 70-85. [HPO:probinson, PMID:20537050]"}
{"STANDARD_NAME":"HP_THICK_CEREBRAL_CORTEX","SYSTEMATIC_NAME":"M41345","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006891","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006891","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Thick cerebral cortex"}
{"STANDARD_NAME":"HP_FRONTOTEMPORAL_CEREBRAL_ATROPHY","SYSTEMATIC_NAME":"M36946","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006892","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006892","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Frontotemporal cerebral atrophy","DESCRIPTION_FULL":"Atrophy (wasting, decrease in size of cells or tissue) affecting the frontotemporal cerebrum. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LOWER_LIMB_HYPERTONIA","SYSTEMATIC_NAME":"M36947","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006895","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006895","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Lower limb hypertonia"}
{"STANDARD_NAME":"HP_CRANIAL_NERVE_VI_PALSY","SYSTEMATIC_NAME":"M36948","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006897","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006897","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cranial nerve VI palsy"}
{"STANDARD_NAME":"HP_FUSION_OF_THE_CEREBELLAR_HEMISPHERES","SYSTEMATIC_NAME":"M41346","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006899","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006899","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Fusion of the cerebellar hemispheres"}
{"STANDARD_NAME":"HP_IMPAIRED_THERMAL_SENSITIVITY","SYSTEMATIC_NAME":"M41347","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006901","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006901","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Impaired thermal sensitivity"}
{"STANDARD_NAME":"HP_FRONTAL_CORTICAL_ATROPHY","SYSTEMATIC_NAME":"M36949","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006913","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006913","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Frontal cortical atrophy","DESCRIPTION_FULL":"Atrophy of the frontal cortex. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INABILITY_TO_WALK_BY_CHILDHOOD_ADOLESCENCE","SYSTEMATIC_NAME":"M36950","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006915","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006915","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Inability to walk by childhood/adolescence"}
{"STANDARD_NAME":"HP_ABNORMAL_AGGRESSIVE_IMPULSIVE_OR_VIOLENT_BEHAVIOR","SYSTEMATIC_NAME":"M36951","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006919","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006919","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal aggressive, impulsive or violent behavior"}
{"STANDARD_NAME":"HP_CONGENITAL_NYSTAGMUS","SYSTEMATIC_NAME":"M36952","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006934","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006934","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Congenital nystagmus","DESCRIPTION_FULL":"Nystagmus dating from or present at birth. [HPO:curators]"}
{"STANDARD_NAME":"HP_IMPAIRED_DISTAL_TACTILE_SENSATION","SYSTEMATIC_NAME":"M36953","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006937","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006937","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Impaired distal tactile sensation","DESCRIPTION_FULL":"A reduced sense of touch (tactile sensation) on the skin of the distal limbs. This is usually tested with a wisp of cotton or a fine camel's hair brush, by asking patients to say 'now' each time they feel the stimulus. [HPO:probinson]"}
{"STANDARD_NAME":"HP_IMPAIRED_VIBRATION_SENSATION_AT_ANKLES","SYSTEMATIC_NAME":"M36954","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006938","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006938","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Impaired vibration sensation at ankles","DESCRIPTION_FULL":"A decrease in the ability to perceive vibration at the ankles. Clinically, this is usually tested with a tuning fork which vibrates at 128 Hz and is applied to the malleoli of the ankles. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RETROCEREBELLAR_CYST","SYSTEMATIC_NAME":"M36955","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006951","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006951","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Retrocerebellar cyst"}
{"STANDARD_NAME":"HP_OLIVOPONTOCEREBELLAR_HYPOPLASIA","SYSTEMATIC_NAME":"M36956","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006955","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006955","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Olivopontocerebellar hypoplasia","DESCRIPTION_FULL":"Hypoplasia of the cerebellum, pontine nuclei, and inferior olivary nucleus. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DILATION_OF_LATERAL_VENTRICLES","SYSTEMATIC_NAME":"M36957","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006956","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006956","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Dilation of lateral ventricles"}
{"STANDARD_NAME":"HP_LOSS_OF_ABILITY_TO_WALK","SYSTEMATIC_NAME":"M36958","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006957","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006957","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Loss of ability to walk"}
{"STANDARD_NAME":"HP_ABNORMAL_AUDITORY_EVOKED_POTENTIALS","SYSTEMATIC_NAME":"M36959","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006958","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006958","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal auditory evoked potentials","DESCRIPTION_FULL":"An abnormality of the auditory evoked potentials, which are used to trace the signal generated by a sound, from the cochlear nerve, through the lateral lemniscus, to the medial geniculate nucleus, and to the cortex. [HPO:probinson]"}
{"STANDARD_NAME":"HP_JERKY_HEAD_MOVEMENTS","SYSTEMATIC_NAME":"M36960","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006961","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006961","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Jerky head movements"}
{"STANDARD_NAME":"HP_PERIVENTRICULAR_LEUKOMALACIA","SYSTEMATIC_NAME":"M36961","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006970","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006970","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Periventricular leukomalacia"}
{"STANDARD_NAME":"HP_GRAMMAR_SPECIFIC_SPEECH_DISORDER","SYSTEMATIC_NAME":"M41348","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006977","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006977","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Grammar-specific speech disorder"}
{"STANDARD_NAME":"HP_SLEEP_WAKE_CYCLE_DISTURBANCE","SYSTEMATIC_NAME":"M36962","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006979","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006979","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Sleep-wake cycle disturbance","DESCRIPTION_FULL":"Any abnormal alteration of an individual's circadian rhythm that affects the timing of sleeping and being awake. []"}
{"STANDARD_NAME":"HP_PROGRESSIVE_LEUKOENCEPHALOPATHY","SYSTEMATIC_NAME":"M36963","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006980","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006980","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Progressive leukoencephalopathy","DESCRIPTION_FULL":"Leukoencephalopathy that gets more severe with time. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DISTAL_SENSORY_LOSS_OF_ALL_MODALITIES","SYSTEMATIC_NAME":"M36964","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006984","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006984","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Distal sensory loss of all modalities"}
{"STANDARD_NAME":"HP_UPPER_LIMB_SPASTICITY","SYSTEMATIC_NAME":"M36965","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006986","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006986","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Upper limb spasticity"}
{"STANDARD_NAME":"HP_DYSPLASTIC_CORPUS_CALLOSUM","SYSTEMATIC_NAME":"M36966","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006989","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006989","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Dysplastic corpus callosum","DESCRIPTION_FULL":"Dysplasia and dysgenesis of the corpus callosum are nonspecific descriptions that imply defective development of the corpus callosum. The term dysplasia is applied when the morphology of the corpus callosum is altered as a congenital trait. For instance, the corpus callosum may be hump-shaped, kinked, or a striped corpus callosum that lacks an anatomically distinct genu and splenium. [HPO:probinson, PMID:21263138]"}
{"STANDARD_NAME":"HP_BASAL_GANGLIA_GLIOSIS","SYSTEMATIC_NAME":"M36967","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0006999","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0006999","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Basal ganglia gliosis","DESCRIPTION_FULL":"Focal proliferation of glial cells in the basal ganglia. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MORNING_MYOCLONIC_JERKS","SYSTEMATIC_NAME":"M36968","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007000","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007000","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Morning myoclonic jerks"}
{"STANDARD_NAME":"HP_LOSS_OF_PURKINJE_CELLS_IN_THE_CEREBELLAR_VERMIS","SYSTEMATIC_NAME":"M36969","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007001","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007001","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Loss of Purkinje cells in the cerebellar vermis"}
{"STANDARD_NAME":"HP_MOTOR_AXONAL_NEUROPATHY","SYSTEMATIC_NAME":"M36970","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007002","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007002","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Motor axonal neuropathy","DESCRIPTION_FULL":"Progressive impairment of function of motor axons with muscle weakness, atrophy, and cramps. The deficits are length-dependent, meaning that muscles innervated by the longest nerves are affected first, so that for instance the arms are affected at a later age than the onset of deficits involving the lower leg. [HPO:probinson]"}
{"STANDARD_NAME":"HP_POOR_FINE_MOTOR_COORDINATION","SYSTEMATIC_NAME":"M36971","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007010","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007010","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Poor fine motor coordination","DESCRIPTION_FULL":"An abnormality of the ability (skills) to perform a precise movement of small muscles with the intent to perform a specific act. Fine motor skills are required to mediate movements of the wrists, hands, fingers, feet, and toes. []"}
{"STANDARD_NAME":"HP_POOR_GROSS_MOTOR_COORDINATION","SYSTEMATIC_NAME":"M36972","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007015","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007015","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Poor gross motor coordination","DESCRIPTION_FULL":"An abnormality of the ability (skills) to perform a precise movement of large muscles with the intent to perform a specific act. Gross motor skills are required to mediate movements of the arms, legs, and other large body parts. []"}
{"STANDARD_NAME":"HP_CORTICOSPINAL_TRACT_HYPOPLASIA","SYSTEMATIC_NAME":"M36973","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007016","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007016","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Corticospinal tract hypoplasia"}
{"STANDARD_NAME":"HP_ATTENTION_DEFICIT_HYPERACTIVITY_DISORDER","SYSTEMATIC_NAME":"M36974","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007018","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007018","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Attention deficit hyperactivity disorder","DESCRIPTION_FULL":"Attention deficit hyperactivity disorder (ADHD) manifests at age 2-3 years or by first grade at the latest. The main symptoms are distractibility, impulsivity, hyperactivity, and often trouble organizing tasks and projects, difficulty going to sleep, and social problems from being aggressive, loud, or impatient. [HPO:curators]"}
{"STANDARD_NAME":"HP_PROGRESSIVE_SPASTIC_PARAPLEGIA","SYSTEMATIC_NAME":"M36975","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007020","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007020","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Progressive spastic paraplegia"}
{"STANDARD_NAME":"HP_PAIN_INSENSITIVITY","SYSTEMATIC_NAME":"M36976","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007021","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007021","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pain insensitivity","DESCRIPTION_FULL":"Inability to perceive painful stimuli. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PSEUDOBULBAR_PARALYSIS","SYSTEMATIC_NAME":"M36977","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007024","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007024","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pseudobulbar paralysis","DESCRIPTION_FULL":"Bilateral impairment of the function of the cranial nerves 9-12, which control musculature involved in eating, swallowing, and speech. Pseudobulbar paralysis is characterized clinically by dysarthria, dysphonia, and dysphagia with bifacial paralysis, and may be accompanied by Pseudobulbar behavioral symptoms such as enforced crying and laughing. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_CEREBRAL_BERRY_ANEURYSM","SYSTEMATIC_NAME":"M36978","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007029","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007029","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cerebral berry aneurysm","DESCRIPTION_FULL":"A small, sac-like aneurysm (outpouching) of a cerebral blood vessel. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NONPROGRESSIVE_ENCEPHALOPATHY","SYSTEMATIC_NAME":"M41349","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007030","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007030","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Nonprogressive encephalopathy"}
{"STANDARD_NAME":"HP_CEREBELLAR_DYSPLASIA","SYSTEMATIC_NAME":"M36979","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007033","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007033","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cerebellar dysplasia","DESCRIPTION_FULL":"The presence of dysplasia (abnormal growth or development) of the cerebellum. Cerebellar dysplasia is a neuroimaging finding that describes abnormalities of both the cerebellar cortex and white matter and is associated with variable neurodevelopmental outcome. [HPO:probinson, PMID:25105227, PMID:27160001]"}
{"STANDARD_NAME":"HP_GENERALIZED_HYPERREFLEXIA","SYSTEMATIC_NAME":"M36980","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007034","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007034","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Generalized hyperreflexia"}
{"STANDARD_NAME":"HP_HYPOPLASIA_OF_OLFACTORY_TRACT","SYSTEMATIC_NAME":"M36981","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007036","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007036","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypoplasia of olfactory tract"}
{"STANDARD_NAME":"HP_CHRONIC_LYMPHOCYTIC_MENINGITIS","SYSTEMATIC_NAME":"M41350","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007041","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007041","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Chronic lymphocytic meningitis","DESCRIPTION_FULL":"Meningitis that persists for more than 4 weeks, and lymphocytes are present in the cerebrospinal fluid (CSF). [PMID:27608867]"}
{"STANDARD_NAME":"HP_FOCAL_WHITE_MATTER_LESIONS","SYSTEMATIC_NAME":"M36982","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007042","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007042","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Focal white matter lesions"}
{"STANDARD_NAME":"HP_LARGE_BASAL_GANGLIA","SYSTEMATIC_NAME":"M36983","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007048","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007048","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Large basal ganglia","DESCRIPTION_FULL":"Increased size of the basal ganglia. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MULTIFOCAL_CEREBRAL_WHITE_MATTER_ABNORMALITIES","SYSTEMATIC_NAME":"M36984","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007052","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007052","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Multifocal cerebral white matter abnormalities"}
{"STANDARD_NAME":"HP_GENERALIZED_CEREBRAL_ATROPHY_HYPOPLASIA","SYSTEMATIC_NAME":"M36985","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007058","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007058","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Generalized cerebral atrophy/hypoplasia","DESCRIPTION_FULL":"Generalized atrophy or hypoplasia of the cerebrum. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_DISTAL_PERIPHERAL_SENSORY_NEUROPATHY","SYSTEMATIC_NAME":"M36986","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007067","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007067","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Distal peripheral sensory neuropathy","DESCRIPTION_FULL":"Peripheral sensory neuropathy affecting primarily distal sensation. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INFERIOR_VERMIS_HYPOPLASIA","SYSTEMATIC_NAME":"M36987","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007068","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007068","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Inferior vermis hypoplasia","DESCRIPTION_FULL":"Underdevelopment of the inferior portion of the vermis of cerebellum. [HPO:probinson, PMID:16580298]"}
{"STANDARD_NAME":"HP_THICK_CORPUS_CALLOSUM","SYSTEMATIC_NAME":"M36988","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007074","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007074","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Thick corpus callosum","DESCRIPTION_FULL":"Increased vertical dimension of the corpus callosum. This feature can be visualized by sagittal sections on magnetic resonance tomography imaging of the brain. [KI:phemming, PMID:10029348]"}
{"STANDARD_NAME":"HP_EXTRAPYRAMIDAL_MUSCULAR_RIGIDITY","SYSTEMATIC_NAME":"M36989","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007076","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007076","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Extrapyramidal muscular rigidity","DESCRIPTION_FULL":"Muscular rigidity (continuous contraction of muscles with constant resistance to passive movement). [HPO:probinson]"}
{"STANDARD_NAME":"HP_DECREASED_AMPLITUDE_OF_SENSORY_ACTION_POTENTIALS","SYSTEMATIC_NAME":"M36990","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007078","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007078","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased amplitude of sensory action potentials","DESCRIPTION_FULL":"A reduction in the amplitude of sensory nerve action potential. This feature is measured by nerve conduction studies. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DILATED_THIRD_VENTRICLE","SYSTEMATIC_NAME":"M36991","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007082","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007082","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Dilated third ventricle","DESCRIPTION_FULL":"An increase in size of the third ventricle. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPERACTIVE_PATELLAR_REFLEX","SYSTEMATIC_NAME":"M36992","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007083","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007083","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hyperactive patellar reflex"}
{"STANDARD_NAME":"HP_SOCIAL_AND_OCCUPATIONAL_DETERIORATION","SYSTEMATIC_NAME":"M36993","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007086","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007086","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Social and occupational deterioration"}
{"STANDARD_NAME":"HP_ARNOLD_CHIARI_TYPE_I_MALFORMATION","SYSTEMATIC_NAME":"M36994","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007099","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007099","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Arnold-Chiari type I malformation","DESCRIPTION_FULL":"Arnold-Chiari type I malformation refers to a relatively mild degree of herniation of the posteroinferior region of the cerebellum (the cerebellar tonsils) into the cervical canal with little or no displacement of the fourth ventricle. [HPO:curators]"}
{"STANDARD_NAME":"HP_HYPOINTENSITY_OF_CEREBRAL_WHITE_MATTER_ON_MRI","SYSTEMATIC_NAME":"M36995","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007103","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007103","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypointensity of cerebral white matter on MRI","DESCRIPTION_FULL":"A darker than expected signal on magnetic resonance imaging emanating from the cerebral white matter. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INFANTILE_ENCEPHALOPATHY","SYSTEMATIC_NAME":"M36996","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007105","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007105","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Infantile encephalopathy","DESCRIPTION_FULL":"Encephalopathy with onset in the infantile period. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DEMYELINATING_PERIPHERAL_NEUROPATHY","SYSTEMATIC_NAME":"M36997","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007108","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007108","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Demyelinating peripheral neuropathy","DESCRIPTION_FULL":"Demyelinating neuropathy is characterized by slow nerve conduction velocities with reduced amplitudes of sensory/motor nerve conduction and prolonged distal latencies. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PERIVENTRICULAR_CYSTS","SYSTEMATIC_NAME":"M36998","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007109","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007109","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Periventricular cysts"}
{"STANDARD_NAME":"HP_CENTRAL_HYPOVENTILATION","SYSTEMATIC_NAME":"M36999","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007110","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007110","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Central hypoventilation"}
{"STANDARD_NAME":"HP_TEMPORAL_CORTICAL_ATROPHY","SYSTEMATIC_NAME":"M37000","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007112","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007112","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Temporal cortical atrophy","DESCRIPTION_FULL":"Atrophy of the temporal cortex. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PROXIMAL_AMYOTROPHY","SYSTEMATIC_NAME":"M37001","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007126","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007126","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Proximal amyotrophy","DESCRIPTION_FULL":"Amyotrophy (muscular atrophy) affecting the proximal musculature. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PROGRESSIVE_PERIPHERAL_NEUROPATHY","SYSTEMATIC_NAME":"M37002","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007133","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007133","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Progressive peripheral neuropathy"}
{"STANDARD_NAME":"HP_SENSORIMOTOR_NEUROPATHY","SYSTEMATIC_NAME":"M37003","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007141","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007141","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Sensorimotor neuropathy"}
{"STANDARD_NAME":"HP_DISTAL_UPPER_LIMB_AMYOTROPHY","SYSTEMATIC_NAME":"M37004","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007149","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007149","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Distal upper limb amyotrophy","DESCRIPTION_FULL":"Muscular atrophy of distal arm muscles. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PROGRESSIVE_EXTRAPYRAMIDAL_MOVEMENT_DISORDER","SYSTEMATIC_NAME":"M37005","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007153","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007153","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Progressive extrapyramidal movement disorder"}
{"STANDARD_NAME":"HP_FLUCTUATIONS_IN_CONSCIOUSNESS","SYSTEMATIC_NAME":"M37006","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007159","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007159","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Fluctuations in consciousness"}
{"STANDARD_NAME":"HP_SLOWED_SLURRED_SPEECH","SYSTEMATIC_NAME":"M37007","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007164","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007164","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Slowed slurred speech"}
{"STANDARD_NAME":"HP_PERIVENTRICULAR_HETEROTOPIA","SYSTEMATIC_NAME":"M37008","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007165","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007165","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Periventricular heterotopia","DESCRIPTION_FULL":"A form of gray matter heterotopia were the mislocalized gray matter is typically located periventricularly, also sometimes called subependymal heterotopia. Periventricular means beside the ventricles. This is by far the most common location for heterotopia. Subependymal heterotopia present in a wide array of variations. There can be a small single node or a large number of nodes, can exist on either or both sides of the brain at any point along the higher ventricle margins, can be small or large, single or multiple, and can form a small node or a large wavy or curved mass. [HPO:probinson, PMID:22427329]"}
{"STANDARD_NAME":"HP_PAROXYSMAL_DYSKINESIA","SYSTEMATIC_NAME":"M37009","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007166","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007166","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Paroxysmal dyskinesia","DESCRIPTION_FULL":"Episodic bouts of involuntary movements with dystonic, choreic, ballistic movements, or a combination thereof. There is no loss of consciousness during the attacks. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MOTOR_POLYNEUROPATHY","SYSTEMATIC_NAME":"M37010","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007178","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007178","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Motor polyneuropathy"}
{"STANDARD_NAME":"HP_PERIPHERAL_HYPOMYELINATION","SYSTEMATIC_NAME":"M37011","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007182","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007182","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Peripheral hypomyelination","DESCRIPTION_FULL":"Reduced amount of myelin in the nervous system resulting from defective myelinogenesis in the peripheral nervous system. [HPO:probinson]"}
{"STANDARD_NAME":"HP_FOCAL_T2_HYPERINTENSE_BASAL_GANGLIA_LESION","SYSTEMATIC_NAME":"M41351","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007183","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007183","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Focal T2 hyperintense basal ganglia lesion","DESCRIPTION_FULL":"A lighter than expected T2 signal on magnetic resonance imaging (MRI) of the basal ganglia. This term refers to a localized hyperintensity affecting a particular region of the basal ganglia. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LOSS_OF_CONSCIOUSNESS","SYSTEMATIC_NAME":"M37012","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007185","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007185","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Loss of consciousness"}
{"STANDARD_NAME":"HP_NEURONAL_LOSS_IN_THE_CEREBRAL_CORTEX","SYSTEMATIC_NAME":"M37013","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007190","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007190","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neuronal loss in the cerebral cortex"}
{"STANDARD_NAME":"HP_PROGRESSIVE_SPASTIC_PARAPARESIS","SYSTEMATIC_NAME":"M37014","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007199","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007199","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Progressive spastic paraparesis"}
{"STANDARD_NAME":"HP_DIFFUSE_WHITE_MATTER_ABNORMALITIES","SYSTEMATIC_NAME":"M37015","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007204","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007204","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Diffuse white matter abnormalities"}
{"STANDARD_NAME":"HP_HEMIMEGALENCEPHALY","SYSTEMATIC_NAME":"M37016","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007206","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007206","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hemimegalencephaly","DESCRIPTION_FULL":"Enlargement of all or parts of one cerebral hemisphere. [HPO:probinson, PMID:17416820]"}
{"STANDARD_NAME":"HP_FACIAL_PARALYSIS","SYSTEMATIC_NAME":"M41352","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007209","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007209","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Facial paralysis","DESCRIPTION_FULL":"Complete loss of ability to move facial muscles innervated by the facial nerve (i.e., the seventh cranial nerve). [HPO:probinson]"}
{"STANDARD_NAME":"HP_LOWER_LIMB_AMYOTROPHY","SYSTEMATIC_NAME":"M37017","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007210","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007210","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Lower limb amyotrophy","DESCRIPTION_FULL":"Muscular atrophy affecting the lower limb. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MACROGYRIA","SYSTEMATIC_NAME":"M37018","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007227","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007227","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Macrogyria","DESCRIPTION_FULL":"Increased size of cerebral gyri, often associated with a moderate reduction in the number of sulci of the cerebrum. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PROGRESSIVE_GAIT_ATAXIA","SYSTEMATIC_NAME":"M37019","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007240","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007240","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Progressive gait ataxia","DESCRIPTION_FULL":"A type of gait ataxia displaying progression of clinical severity. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_PYRAMIDAL_SIGN","SYSTEMATIC_NAME":"M37020","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007256","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007256","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal pyramidal sign","DESCRIPTION_FULL":"Functional neurological abnormalities related to dysfunction of the pyramidal tract. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SEVERE_DEMYELINATION_OF_THE_WHITE_MATTER","SYSTEMATIC_NAME":"M37021","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007258","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007258","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Severe demyelination of the white matter","DESCRIPTION_FULL":"A severe loss of myelin from nerve fibers in the central nervous system. [HPO:probinson]"}
{"STANDARD_NAME":"HP_TYPE_II_LISSENCEPHALY","SYSTEMATIC_NAME":"M37022","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007260","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007260","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Type II lissencephaly","DESCRIPTION_FULL":"A form of lissencephaly characterized by an uneven cortical surface with a so called 'cobblestone' appearace. There are no distinguishable cortical layers. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CEREBRAL_DYSMYELINATION","SYSTEMATIC_NAME":"M37023","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007266","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007266","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cerebral dysmyelination","DESCRIPTION_FULL":"Defective structure and function of myelin sheaths of the white matter of the brain. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CHRONIC_AXONAL_NEUROPATHY","SYSTEMATIC_NAME":"M37024","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007267","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007267","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Chronic axonal neuropathy","DESCRIPTION_FULL":"An abnormality characterized by chronic impairment of the normal functioning of the axons. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SPINAL_MUSCULAR_ATROPHY","SYSTEMATIC_NAME":"M37025","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007269","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007269","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Spinal muscular atrophy","DESCRIPTION_FULL":"Muscular weakness and atrophy related to loss of the motor neurons of the spinal cord and brainstem. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ATYPICAL_ABSENCE_SEIZURE","SYSTEMATIC_NAME":"M37026","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007270","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007270","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Atypical absence seizure","DESCRIPTION_FULL":"An atypical absence seizure is a type of generalised non-motor (absence) seizure characterised by interruption of ongoing activities and reduced responsiveness. In comparison to a typical absence seizure, changes in tone may be more pronounced, onset and/or cessation may be less abrupt, and the duration of the ictus and post-ictal recovery may be longer. Although not always available, an EEG often demonstrates slow (<3 Hz), irregular, generalized spike-wave activity. [HPO:probinson, PMID:28276060, PMID:28276062, PMID:28276064, PMID:6790275]"}
{"STANDARD_NAME":"HP_PROGRESSIVE_PSYCHOMOTOR_DETERIORATION","SYSTEMATIC_NAME":"M37027","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007272","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007272","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Progressive psychomotor deterioration"}
{"STANDARD_NAME":"HP_DEVELOPMENTAL_STAGNATION","SYSTEMATIC_NAME":"M37028","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007281","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007281","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Developmental stagnation","DESCRIPTION_FULL":"A cessation of the development of a child in the areas of motor skills, speech and language, cognitive skills, and social and/or emotional skills. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LIMB_FASCICULATIONS","SYSTEMATIC_NAME":"M37029","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007289","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007289","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Limb fasciculations","DESCRIPTION_FULL":"Fasciculations affecting the musculature of the arms and legs. [HPO:curators]"}
{"STANDARD_NAME":"HP_POSTERIOR_FOSSA_CYST","SYSTEMATIC_NAME":"M37030","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007291","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007291","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Posterior fossa cyst","DESCRIPTION_FULL":"A discrete posterior fossa cerebrospinal fluid (CSF) collection that does not communicate directly with the fourth ventricle. [HPO:probinson, PMID:2816648]"}
{"STANDARD_NAME":"HP_OROMOTOR_APRAXIA","SYSTEMATIC_NAME":"M37031","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007301","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007301","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Oromotor apraxia"}
{"STANDARD_NAME":"HP_CNS_DEMYELINATION","SYSTEMATIC_NAME":"M37032","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007305","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007305","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"CNS demyelination","DESCRIPTION_FULL":"A loss of myelin from nerve fibers in the central nervous system. [HPO:probinson]"}
{"STANDARD_NAME":"HP_EXTRAPYRAMIDAL_DYSKINESIA","SYSTEMATIC_NAME":"M37033","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007308","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007308","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Extrapyramidal dyskinesia"}
{"STANDARD_NAME":"HP_SHORT_STEPPED_SHUFFLING_GAIT","SYSTEMATIC_NAME":"M37034","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007311","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007311","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Short stepped shuffling gait"}
{"STANDARD_NAME":"HP_GENERALIZED_DYSTONIA","SYSTEMATIC_NAME":"M37035","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007325","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007325","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Generalized dystonia","DESCRIPTION_FULL":"A type of dystonia that affects all or most of the body. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MIXED_DEMYELINATING_AND_AXONAL_POLYNEUROPATHY","SYSTEMATIC_NAME":"M37036","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007327","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007327","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Mixed demyelinating and axonal polyneuropathy"}
{"STANDARD_NAME":"HP_IMPAIRED_PAIN_SENSATION","SYSTEMATIC_NAME":"M37037","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007328","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007328","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Impaired pain sensation","DESCRIPTION_FULL":"Reduced ability to perceive painful stimuli. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPOPLASIA_OF_THE_FRONTAL_LOBES","SYSTEMATIC_NAME":"M37038","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007333","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007333","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypoplasia of the frontal lobes","DESCRIPTION_FULL":"Underdevelopment of the frontal lobe of the cerebrum. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_BILATERAL_TONIC_CLONIC_SEIZURE_WITH_FOCAL_ONSET","SYSTEMATIC_NAME":"M37039","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007334","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007334","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Bilateral tonic-clonic seizure with focal onset","DESCRIPTION_FULL":"A bilateral tonic-clonic seizure with focal onset is a focal-onset seizure which progresses into a bilateral tonic-clonic phase. [HPO:probinson, PMID:28276060, PMID:28276064]"}
{"STANDARD_NAME":"HP_HYPERMETRIC_SACCADES","SYSTEMATIC_NAME":"M37040","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007338","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007338","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypermetric saccades","DESCRIPTION_FULL":"A saccade that overshoots the target with the dynamic saccade. [HPO:probinson, PMID:572501]"}
{"STANDARD_NAME":"HP_LOWER_LIMB_MUSCLE_WEAKNESS","SYSTEMATIC_NAME":"M37041","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007340","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007340","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Lower limb muscle weakness","DESCRIPTION_FULL":"Weakness of the muscles of the legs. [HPO:curators]"}
{"STANDARD_NAME":"HP_ABNORMAL_MORPHOLOGY_OF_THE_LIMBIC_SYSTEM","SYSTEMATIC_NAME":"M37042","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007343","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007343","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal morphology of the limbic system","DESCRIPTION_FULL":"Any structural anomaly of the limbic system, a set of midline structures surrounding the brainstem of the mammalian brain, originally described anatomically, e.g., hippocampal formation, amygdala, hypothalamus, cingulate cortex. Although the original designation was anatomical, the limbic system has come to be associated with the system in the brain subserving emotional functions. As such, it is very poorly defined and doesn't correspond closely to the anatomical meaning any longer. [BirnLex]. []"}
{"STANDARD_NAME":"HP_ATROPHY_DEGENERATION_INVOLVING_THE_SPINAL_CORD","SYSTEMATIC_NAME":"M37043","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007344","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007344","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Atrophy/Degeneration involving the spinal cord"}
{"STANDARD_NAME":"HP_HYPERREFLEXIA_IN_UPPER_LIMBS","SYSTEMATIC_NAME":"M37044","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007350","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007350","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hyperreflexia in upper limbs"}
{"STANDARD_NAME":"HP_UPPER_LIMB_POSTURAL_TREMOR","SYSTEMATIC_NAME":"M37045","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007351","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007351","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Upper limb postural tremor","DESCRIPTION_FULL":"A type of tremors that is triggered by holding an arm in a fixed position. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CEREBELLAR_CALCIFICATIONS","SYSTEMATIC_NAME":"M37046","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007352","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007352","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cerebellar calcifications"}
{"STANDARD_NAME":"HP_AMYOTROPHIC_LATERAL_SCLEROSIS","SYSTEMATIC_NAME":"M37047","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007354","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007354","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Amyotrophic lateral sclerosis"}
{"STANDARD_NAME":"HP_FOCAL_ONSET_SEIZURE","SYSTEMATIC_NAME":"M37048","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007359","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007359","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Focal-onset seizure","DESCRIPTION_FULL":"A focal-onset seizure is a type of seizure originating within networks limited to one hemisphere. They may be discretely localized or more widely distributed, and may originate in subcortical structures. [HPO:jalbers, PMID:28276060, PMID:28276064]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_CEREBELLUM","SYSTEMATIC_NAME":"M37049","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007360","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007360","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the cerebellum"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_PONS","SYSTEMATIC_NAME":"M37050","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007361","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007361","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the pons","DESCRIPTION_FULL":"An abnormality of the pons. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ATROPHY_DEGENERATION_AFFECTING_THE_BRAINSTEM","SYSTEMATIC_NAME":"M37052","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007366","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007366","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Atrophy/Degeneration affecting the brainstem"}
{"STANDARD_NAME":"HP_ATROPHY_DEGENERATION_AFFECTING_THE_CENTRAL_NERVOUS_SYSTEM","SYSTEMATIC_NAME":"M37053","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007367","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007367","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Atrophy/Degeneration affecting the central nervous system"}
{"STANDARD_NAME":"HP_CORPUS_CALLOSUM_ATROPHY","SYSTEMATIC_NAME":"M37054","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007371","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007371","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Corpus callosum atrophy","DESCRIPTION_FULL":"The presence of atrophy (wasting) of the corpus callosum. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_ATROPHY_DEGENERATION_INVOLVING_THE_CORTICOSPINAL_TRACTS","SYSTEMATIC_NAME":"M37055","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007372","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007372","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Atrophy/Degeneration involving the corticospinal tracts"}
{"STANDARD_NAME":"HP_MOTOR_NEURON_ATROPHY","SYSTEMATIC_NAME":"M37056","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007373","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007373","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Motor neuron atrophy","DESCRIPTION_FULL":"Wasting involving the motor neuron. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ATROPHY_DEGENERATION_INVOLVING_THE_CAUDATE_NUCLEUS","SYSTEMATIC_NAME":"M37057","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007374","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007374","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Atrophy/Degeneration involving the caudate nucleus"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_SEPTUM_PELLUCIDUM","SYSTEMATIC_NAME":"M37058","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007375","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007375","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the septum pellucidum","DESCRIPTION_FULL":"An abnormality of the septum pellucidum, which is a thin, triangular, vertical membrane separating the lateral ventricles of the brain. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_CHOROID_PLEXUS","SYSTEMATIC_NAME":"M37059","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007376","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007376","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the choroid plexus","DESCRIPTION_FULL":"An abnormality of the choroid plexus, which is the area in the cerebral ventricles in which cerebrospinal fluid is produced by modified ependymal cells. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_SOMATOSENSORY_EVOKED_POTENTIALS","SYSTEMATIC_NAME":"M37060","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007377","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007377","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of somatosensory evoked potentials","DESCRIPTION_FULL":"An abnormality of somatosensory evoked potentials (SSEP), i.e., of the electrical signals of sensation going from the body to the brain in response to a defined stimulus. Recording electrodes are placed over the scalp, spine, and peripheral nerves proximal to the stimulation site. Clinical studies generally use electrical stimulation of peripheral nerves to elicit potentials. SSEP testing determines whether peripheral sensory nerves are able to transmit sensory information like pain, temperature, and touch to the brain. Abnormal SSEPs can result from dysfunction at the level of the peripheral nerve, plexus, spinal root, spinal cord, brain stem, thalamocortical projections, or primary somatosensory cortex. [HPO:curators]"}
{"STANDARD_NAME":"HP_NEOPLASM_OF_THE_GASTROINTESTINAL_TRACT","SYSTEMATIC_NAME":"M37061","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007378","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007378","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neoplasm of the gastrointestinal tract","DESCRIPTION_FULL":"A tumor (abnormal growth of tissue) of the gastrointestinal tract. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NEOPLASM_OF_THE_GENITOURINARY_TRACT","SYSTEMATIC_NAME":"M37062","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007379","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007379","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neoplasm of the genitourinary tract","DESCRIPTION_FULL":"A tumor (abnormal growth of tissue) of the genitourinary system. [HPO:probinson]"}
{"STANDARD_NAME":"HP_FACIAL_TELANGIECTASIA","SYSTEMATIC_NAME":"M37063","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007380","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007380","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Facial telangiectasia","DESCRIPTION_FULL":"Telangiectases (small dilated blood vessels) located near the surface of the skin of the face. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CONGENITAL_LOCALIZED_ABSENCE_OF_SKIN","SYSTEMATIC_NAME":"M37064","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007383","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007383","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Congenital localized absence of skin"}
{"STANDARD_NAME":"HP_APLASIA_CUTIS_CONGENITA_OF_SCALP","SYSTEMATIC_NAME":"M37065","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007385","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007385","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia cutis congenita of scalp","DESCRIPTION_FULL":"A developmental defect resulting in the congenital absence of skin on the scalp. [HPO:probinson]"}
{"STANDARD_NAME":"HP_EXCESSIVE_WRINKLED_SKIN","SYSTEMATIC_NAME":"M37066","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007392","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007392","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Excessive wrinkled skin"}
{"STANDARD_NAME":"HP_PROMINENT_SUPERFICIAL_BLOOD_VESSELS","SYSTEMATIC_NAME":"M37067","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007394","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007394","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Prominent superficial blood vessels"}
{"STANDARD_NAME":"HP_IRREGULAR_HYPERPIGMENTATION","SYSTEMATIC_NAME":"M37068","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007400","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007400","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Irregular hyperpigmentation"}
{"STANDARD_NAME":"HP_MACULAR_ATROPHY","SYSTEMATIC_NAME":"M37069","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007401","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007401","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Macular atrophy","DESCRIPTION_FULL":"Well-demarcated area(s) of partial or complete depigmentation in the macula, reflecting atrophy of the retinal pigment epithelium with associated retinal photoreceptor loss. [ORCID:0000-0003-0986-4123]"}
{"STANDARD_NAME":"HP_PALMOPLANTAR_HYPERHIDROSIS","SYSTEMATIC_NAME":"M37070","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007410","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007410","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Palmoplantar hyperhidrosis","DESCRIPTION_FULL":"An abnormally increased perspiration on palms and soles. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NEVUS_FLAMMEUS_OF_THE_FOREHEAD","SYSTEMATIC_NAME":"M37071","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007413","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007413","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Nevus flammeus of the forehead","DESCRIPTION_FULL":"Naevus flammeus localised in the skin of the forehead. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_DISCOID_LUPUS_RASH","SYSTEMATIC_NAME":"M37072","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007417","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007417","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Discoid lupus rash","DESCRIPTION_FULL":"Cutaneous lesion that develops as a dry, scaly, red patch that evolves to an indurated and hyperpigmented plaque with adherent scale. Scarring may result in central white patches (loss of pigmentation) and skin atrophy. []"}
{"STANDARD_NAME":"HP_ALOPECIA_TOTALIS","SYSTEMATIC_NAME":"M37073","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007418","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007418","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Alopecia totalis","DESCRIPTION_FULL":"Loss of all scalp hair. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SPONTANEOUS_HEMATOMAS","SYSTEMATIC_NAME":"M37074","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007420","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007420","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Spontaneous hematomas","DESCRIPTION_FULL":"Spontaneous development of hematomas (hematoma) or bruises without significant trauma. [DDD:akelly]"}
{"STANDARD_NAME":"HP_RETICULATED_SKIN_PIGMENTATION","SYSTEMATIC_NAME":"M37075","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007427","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007427","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Reticulated skin pigmentation"}
{"STANDARD_NAME":"HP_GENERALIZED_EDEMA","SYSTEMATIC_NAME":"M37076","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007430","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007430","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Generalized edema","DESCRIPTION_FULL":"Generalized abnormal accumulation of fluid beneath the skin, or in one or more cavities of the body. [HPO:curators]"}
{"STANDARD_NAME":"HP_CONGENITAL_ICHTHYOSIFORM_ERYTHRODERMA","SYSTEMATIC_NAME":"M37077","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007431","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007431","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Congenital ichthyosiform erythroderma","DESCRIPTION_FULL":"An ichthyosiform abnormality of the skin with congenital onset. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DIFFUSE_PALMOPLANTAR_KERATODERMA","SYSTEMATIC_NAME":"M37078","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007435","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007435","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Diffuse palmoplantar keratoderma"}
{"STANDARD_NAME":"HP_GENERALIZED_HYPERPIGMENTATION","SYSTEMATIC_NAME":"M37079","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007440","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007440","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Generalized hyperpigmentation"}
{"STANDARD_NAME":"HP_PARTIAL_ALBINISM","SYSTEMATIC_NAME":"M37080","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007443","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007443","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Partial albinism","DESCRIPTION_FULL":"Absence of melanin pigment in various areas, which is found at birth and is permanent. The lesions are known as leucoderma and are often found on the face, trunk, or limbs. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PALMOPLANTAR_BLISTERING","SYSTEMATIC_NAME":"M41353","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007446","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007446","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Palmoplantar blistering","DESCRIPTION_FULL":"A type of blistering that affects the skin of the palms of the hands and the soles of the feet. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CONFETTI_LIKE_HYPOPIGMENTED_MACULES","SYSTEMATIC_NAME":"M37081","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007449","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007449","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Confetti-like hypopigmented macules"}
{"STANDARD_NAME":"HP_PROMINENT_VEINS_ON_TRUNK","SYSTEMATIC_NAME":"M37082","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007457","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007457","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Prominent veins on trunk","DESCRIPTION_FULL":"Prominent thoracic and abdominal veins. [HPO:probinson]"}
{"STANDARD_NAME":"HP_AUTOAMPUTATION_OF_DIGITS","SYSTEMATIC_NAME":"M37083","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007460","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007460","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Autoamputation of digits"}
{"STANDARD_NAME":"HP_HEMANGIOMATOSIS","SYSTEMATIC_NAME":"M37084","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007461","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007461","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hemangiomatosis"}
{"STANDARD_NAME":"HP_ABNORMAL_DERMATOGLYPHICS","SYSTEMATIC_NAME":"M37085","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007477","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007477","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal dermatoglyphics","DESCRIPTION_FULL":"An abnormality of dermatoglyphs (fingerprints), which are present on fingers, palms, toes, and soles. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CONGENITAL_NONBULLOUS_ICHTHYOSIFORM_ERYTHRODERMA","SYSTEMATIC_NAME":"M37086","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007479","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007479","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Congenital nonbullous ichthyosiform erythroderma","DESCRIPTION_FULL":"The term collodion baby applies to newborns who appear to have an extra layer of skin (known as a collodion membrane) that has a collodion-like quality. It is a descriptive term, not a specific diagnosis or disorder (as such, it is a syndrome). Affected babies are born in a collodion membrane, a shiny waxy outer layer to the skin. This is shed 10-14 days after birth, revealing the main symptom of the disease, extensive scaling of the skin caused by hyperkeratosis. With increasing age, the scaling tends to be concentrated around joints in areas such as the groin, the armpits, the inside of the elbow and the neck. The scales often tile the skin and may resemble fish scales. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_ABSENCE_OF_SUBCUTANEOUS_FAT","SYSTEMATIC_NAME":"M37087","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007485","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007485","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Absence of subcutaneous fat","DESCRIPTION_FULL":"Lack of subcutaneous adipose tissue. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LINEAR_ARRAYS_OF_MACULAR_HYPERKERATOSES_IN_FLEXURAL_AREAS","SYSTEMATIC_NAME":"M41354","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007490","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007490","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Linear arrays of macular hyperkeratoses in flexural areas"}
{"STANDARD_NAME":"HP_PREMATURELY_AGED_APPEARANCE","SYSTEMATIC_NAME":"M37088","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007495","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007495","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Prematurely aged appearance"}
{"STANDARD_NAME":"HP_RECURRENT_STAPHYLOCOCCAL_INFECTIONS","SYSTEMATIC_NAME":"M37089","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007499","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007499","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Recurrent staphylococcal infections","DESCRIPTION_FULL":"Increased susceptibility to staphylococcal infections, as manifested by recurrent episodes of staphylococcal infections. [ORCID:0000-0001-7941-2961]"}
{"STANDARD_NAME":"HP_FOLLICULAR_HYPERKERATOSIS","SYSTEMATIC_NAME":"M37090","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007502","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007502","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Follicular hyperkeratosis","DESCRIPTION_FULL":"A skin condition characterized by excessive development of keratin in hair follicles, resulting in rough, cone-shaped, elevated papules resulting from closure of hair follicles with a white plug of sebum. [HPO:probinson]"}
{"STANDARD_NAME":"HP_GENERALIZED_HYPOPIGMENTATION","SYSTEMATIC_NAME":"M37091","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007513","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007513","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Generalized hypopigmentation"}
{"STANDARD_NAME":"HP_EDEMA_OF_THE_DORSUM_OF_HANDS","SYSTEMATIC_NAME":"M37092","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007514","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007514","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Edema of the dorsum of hands","DESCRIPTION_FULL":"An abnormal accumulation of fluid beneath the skin on the back of the hands. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PALMOPLANTAR_CUTIS_LAXA","SYSTEMATIC_NAME":"M37093","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007517","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007517","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Palmoplantar cutis laxa","DESCRIPTION_FULL":"Loose, wrinkled skin of hands and feet. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DESQUAMATION_OF_SKIN_SOON_AFTER_BIRTH","SYSTEMATIC_NAME":"M37094","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007549","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007549","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Desquamation of skin soon after birth"}
{"STANDARD_NAME":"HP_ABNORMAL_SUBCUTANEOUS_FAT_TISSUE_DISTRIBUTION","SYSTEMATIC_NAME":"M37095","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007552","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007552","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal subcutaneous fat tissue distribution"}
{"STANDARD_NAME":"HP_PLANTAR_HYPERKERATOSIS","SYSTEMATIC_NAME":"M37096","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007556","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007556","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Plantar hyperkeratosis","DESCRIPTION_FULL":"Hyperkeratosis affecting the sole of the foot. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MULTIPLE_CAFE_AU_LAIT_SPOTS","SYSTEMATIC_NAME":"M37097","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007565","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007565","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Multiple cafe-au-lait spots","DESCRIPTION_FULL":"The presence of six or more cafe-au-lait spots. [DDD:cmoss]"}
{"STANDARD_NAME":"HP_NUMEROUS_PIGMENTED_FRECKLES","SYSTEMATIC_NAME":"M37098","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007587","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007587","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Numerous pigmented freckles"}
{"STANDARD_NAME":"HP_RETICULAR_HYPERPIGMENTATION","SYSTEMATIC_NAME":"M37099","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007588","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007588","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Reticular hyperpigmentation","DESCRIPTION_FULL":"Increased pigmentation of the skin with a netlike (reticular) pattern. [HPO:probinson]"}
{"STANDARD_NAME":"HP_BILATERAL_SINGLE_TRANSVERSE_PALMAR_CREASES","SYSTEMATIC_NAME":"M37100","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007598","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007598","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Bilateral single transverse palmar creases","DESCRIPTION_FULL":"The distal and proximal transverse palmar creases are merged into a single transverse palmar crease on both hands. [HPO:probinson]"}
{"STANDARD_NAME":"HP_EXCESSIVE_WRINKLING_OF_PALMAR_SKIN","SYSTEMATIC_NAME":"M37101","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007605","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007605","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Excessive wrinkling of palmar skin"}
{"STANDARD_NAME":"HP_BILATERAL_MICROPHTHALMOS","SYSTEMATIC_NAME":"M37102","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007633","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007633","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Bilateral microphthalmos","DESCRIPTION_FULL":"A developmental anomaly characterized by abnormal smallness of both eyes. [HPO:curators]"}
{"STANDARD_NAME":"HP_DYSCHROMATOPSIA","SYSTEMATIC_NAME":"M37103","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007641","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007641","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Dyschromatopsia","DESCRIPTION_FULL":"A form of colorblindness in which only two of the three fundamental colors can be distinguished due to a lack of one of the retinal cone pigments. [DDD:ncarter]"}
{"STANDARD_NAME":"HP_CONGENITAL_STATIONARY_NIGHT_BLINDNESS","SYSTEMATIC_NAME":"M37104","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007642","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007642","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Congenital stationary night blindness","DESCRIPTION_FULL":"A nonprogressive (i.e., stationary) form of difficulties with night blindness with congenital onset. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PUNCTATE_CATARACT","SYSTEMATIC_NAME":"M37105","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007648","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007648","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Punctate cataract","DESCRIPTION_FULL":"A type of cataract with punctate opacities of the lens. [HPO:probinson]"}
{"STANDARD_NAME":"HP_EVERSION_OF_LATERAL_THIRD_OF_LOWER_EYELIDS","SYSTEMATIC_NAME":"M41355","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007655","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007655","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Eversion of lateral third of lower eyelids"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_CHORIORETINAL_PIGMENTATION","SYSTEMATIC_NAME":"M37106","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007661","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007661","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of chorioretinal pigmentation"}
{"STANDARD_NAME":"HP_REDUCED_VISUAL_ACUITY","SYSTEMATIC_NAME":"M37107","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007663","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007663","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Reduced visual acuity"}
{"STANDARD_NAME":"HP_CURLY_EYELASHES","SYSTEMATIC_NAME":"M37108","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007665","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007665","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Curly eyelashes","DESCRIPTION_FULL":"Abnormally curly or curved eyelashes. [HPO:curators]"}
{"STANDARD_NAME":"HP_ABNORMAL_VESTIBULO_OCULAR_REFLEX","SYSTEMATIC_NAME":"M37109","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007670","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007670","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal vestibulo-ocular reflex","DESCRIPTION_FULL":"An abnormality of the vestibulo-ocular reflex (VOR). The VOR attempts to keep the image stable on the retina. Ideally passive or active head movements in one direction are compensated for by eye movements of equal magnitude. [HPO:probinson, PMID:3625219]"}
{"STANDARD_NAME":"HP_PROGRESSIVE_NIGHT_BLINDNESS","SYSTEMATIC_NAME":"M37110","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007675","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007675","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Progressive night blindness"}
{"STANDARD_NAME":"HP_HYPOPLASIA_OF_THE_IRIS","SYSTEMATIC_NAME":"M37111","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007676","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007676","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypoplasia of the iris","DESCRIPTION_FULL":"Congenital underdevelopment of the iris. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LACRIMAL_DUCT_STENOSIS","SYSTEMATIC_NAME":"M37112","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007678","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007678","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Lacrimal duct stenosis","DESCRIPTION_FULL":"Narrowing of a tear duct (lacrimal duct). [HPO:probinson]"}
{"STANDARD_NAME":"HP_PERIPHERAL_RETINAL_AVASCULARIZATION","SYSTEMATIC_NAME":"M41356","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007685","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007685","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Peripheral retinal avascularization"}
{"STANDARD_NAME":"HP_ABNORMAL_PUPILLARY_FUNCTION","SYSTEMATIC_NAME":"M37113","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007686","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007686","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal pupillary function","DESCRIPTION_FULL":"A functional abnormality of the pupil. [HPO:probinson]"}
{"STANDARD_NAME":"HP_UNDETECTABLE_LIGHT_AND_DARK_ADAPTED_ELECTRORETINOGRAM","SYSTEMATIC_NAME":"M37114","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007688","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007688","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Undetectable light- and dark-adapted electroretinogram","DESCRIPTION_FULL":"Absence of the combined rod-and-cone response on electroretinogram. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_PUPILLARY_LIGHT_REFLEX","SYSTEMATIC_NAME":"M37115","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007695","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007695","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal pupillary light reflex","DESCRIPTION_FULL":"An abnormality of the reflex that controls the diameter of the pupil, in response to the intensity of light that falls on the retina of the eye. [HPO:probinson]"}
{"STANDARD_NAME":"HP_OCULAR_ANTERIOR_SEGMENT_DYSGENESIS","SYSTEMATIC_NAME":"M37116","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007700","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007700","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ocular anterior segment dysgenesis","DESCRIPTION_FULL":"Abnormal development (dysgenesis) of the anterior segment of the eye globe. These structures are mainly of mesenchymal origin. [DDD:ncarter]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_RETINAL_PIGMENTATION","SYSTEMATIC_NAME":"M37117","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007703","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007703","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of retinal pigmentation"}
{"STANDARD_NAME":"HP_PAROXYSMAL_INVOLUNTARY_EYE_MOVEMENTS","SYSTEMATIC_NAME":"M37118","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007704","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007704","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Paroxysmal involuntary eye movements","DESCRIPTION_FULL":"Sudden-onset episode of abnormal, involuntary eye movements. [HPO:probinson]"}
{"STANDARD_NAME":"HP_UVEAL_MELANOMA","SYSTEMATIC_NAME":"M37119","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007716","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007716","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Uveal melanoma","DESCRIPTION_FULL":"A malignant melanoma originating within the eye. The tumor originates from the melanocytes in the uvea (which comprises the iris, ciliary body, and choroid). [HPO:curators]"}
{"STANDARD_NAME":"HP_FLAT_CORNEA","SYSTEMATIC_NAME":"M37120","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007720","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007720","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Flat cornea","DESCRIPTION_FULL":"Cornea plana is an abnormally flat shape of the cornea such that the normal protrusion of the cornea from the sclera is missing. The reduced corneal curvature can lead to hyperopia, and a hazy corneal limbus and arcus lipoides may develop at an early age. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RETINAL_PIGMENT_EPITHELIAL_ATROPHY","SYSTEMATIC_NAME":"M37121","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007722","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007722","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Retinal pigment epithelial atrophy","DESCRIPTION_FULL":"Atrophy (loss or wasting) of the retinal pigment epithelium observed on fundoscopy or fundus imaging. [HPO:probinson]"}
{"STANDARD_NAME":"HP_IRIS_HYPOPIGMENTATION","SYSTEMATIC_NAME":"M37122","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007730","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007730","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Iris hypopigmentation","DESCRIPTION_FULL":"An abnormal reduction in the amount of pigmentation of the iris. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CHORIORETINAL_DYSPLASIA","SYSTEMATIC_NAME":"M37123","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007731","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007731","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Chorioretinal dysplasia","DESCRIPTION_FULL":"Abnormal development of the choroid and retina. [HPO:probinson]"}
{"STANDARD_NAME":"HP_BONE_SPICULE_PIGMENTATION_OF_THE_RETINA","SYSTEMATIC_NAME":"M37124","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007737","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007737","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Bone spicule pigmentation of the retina","DESCRIPTION_FULL":"Pigment migration into the retina in a bone-spicule configuration (resembling the nucleated cells within the lacuna of bone). [HPO:probinson]"}
{"STANDARD_NAME":"HP_UNCONTROLLED_EYE_MOVEMENTS","SYSTEMATIC_NAME":"M37125","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007738","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007738","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Uncontrolled eye movements"}
{"STANDARD_NAME":"HP_HYPOPLASIA_OF_THE_FOVEA","SYSTEMATIC_NAME":"M37126","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007750","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007750","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypoplasia of the fovea","DESCRIPTION_FULL":"Underdevelopment of the fovea centralis. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MACULAR_DYSTROPHY","SYSTEMATIC_NAME":"M37127","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007754","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007754","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Macular dystrophy","DESCRIPTION_FULL":"Macular dystrophy is a nonspecific term for premature retinal cell aging and cell death, generally confied to the macula in which no clear extrinsic cause is evident. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RETINAL_TELANGIECTASIA","SYSTEMATIC_NAME":"M37128","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007763","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007763","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Retinal telangiectasia","DESCRIPTION_FULL":"Dilatation of small blood vessels of the retina. [HPO:probinson]"}
{"STANDARD_NAME":"HP_OPTIC_DISC_HYPOPLASIA","SYSTEMATIC_NAME":"M37129","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007766","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007766","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Optic disc hypoplasia","DESCRIPTION_FULL":"Underdevelopment of the optic disc, that is of the optic nerve head, where ganglion cell axons exit the eye to form the optic nerve. [HPO:probinson]"}
{"STANDARD_NAME":"HP_IMPAIRED_SMOOTH_PURSUIT","SYSTEMATIC_NAME":"M37130","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007772","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007772","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Impaired smooth pursuit","DESCRIPTION_FULL":"An impairment of the ability to track objects with the ocular smooth pursuit system, a class of rather slow eye movements that minimizes retinal target motion. [HPO:probinson]"}
{"STANDARD_NAME":"HP_VITREORETINOPATHY","SYSTEMATIC_NAME":"M37131","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007773","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007773","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Vitreoretinopathy","DESCRIPTION_FULL":"Ocular abnormality characterised by premature degeneration of the vitreous and the retina that may be associated with increased risk of retinal detachment. [HPO:probinson, ORCID:0000-0003-0986-4123, PMID:18179896]"}
{"STANDARD_NAME":"HP_POSTERIOR_SUBCAPSULAR_CATARACT","SYSTEMATIC_NAME":"M37132","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007787","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007787","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Posterior subcapsular cataract","DESCRIPTION_FULL":"A type of cataract affecting the posterior pole of lens immediately adjacent to ('beneath') the Lens capsule. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MONOCHROMACY","SYSTEMATIC_NAME":"M37134","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007803","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007803","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Monochromacy","DESCRIPTION_FULL":"Complete color blindness, a complete inability to distinguish colors. Affected persons cannot perceive colors, but only shades of gray. [DDD:gblack]"}
{"STANDARD_NAME":"HP_OPTIC_NERVE_COMPRESSION","SYSTEMATIC_NAME":"M37135","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007807","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007807","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Optic nerve compression"}
{"STANDARD_NAME":"HP_HORIZONTAL_PENDULAR_NYSTAGMUS","SYSTEMATIC_NAME":"M37136","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007811","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007811","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Horizontal pendular nystagmus","DESCRIPTION_FULL":"Nystagmus consisting of horizontal to-and-fro eye movements of equal velocity. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RETINAL_PIGMENT_EPITHELIAL_MOTTLING","SYSTEMATIC_NAME":"M37137","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007814","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007814","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Retinal pigment epithelial mottling","DESCRIPTION_FULL":"Mottling (spots or blotches with different shades) of the retinal pigment epithelium, i.e., localized or generalized fundal pigment granularity associated with processes at the level of the retinal pigment epithelium. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CENTRAL_HETEROCHROMIA","SYSTEMATIC_NAME":"M37138","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007818","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007818","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Central heterochromia","DESCRIPTION_FULL":"The presence of distinct colors in the central (pupillary) zone of the iris than in the mid-peripheral (ciliary) zone. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ANTERIOR_CHAMBER_SYNECHIAE","SYSTEMATIC_NAME":"M37139","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007833","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007833","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Anterior chamber synechiae"}
{"STANDARD_NAME":"HP_ATTENUATION_OF_RETINAL_BLOOD_VESSELS","SYSTEMATIC_NAME":"M37140","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007843","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007843","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Attenuation of retinal blood vessels"}
{"STANDARD_NAME":"HP_CONGENITAL_BLINDNESS","SYSTEMATIC_NAME":"M37141","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007875","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007875","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Congenital blindness","DESCRIPTION_FULL":"Blindness with onset at birth. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPOPIGMENTATION_OF_THE_FUNDUS","SYSTEMATIC_NAME":"M37142","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007894","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007894","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypopigmentation of the fundus","DESCRIPTION_FULL":"Reduced pigmentation of the fundus, typically generalised. Fundoscopy may reveal a low level pigment in both RPE and choroid with clear visibility of choroidal vessels (pale/albinoid) or low pigment level in the RPE with deep pigment in choroid so that visible choroidal vessels are separated by deeply pigmented zones (tesselated/tigroid). [ORCID:0000-0003-0986-4123]"}
{"STANDARD_NAME":"HP_RETINAL_NONATTACHMENT","SYSTEMATIC_NAME":"M37143","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007899","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007899","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Retinal nonattachment","DESCRIPTION_FULL":"Failure of attachment of the retina during development. [HPO:probinson, PMID:21441919]"}
{"STANDARD_NAME":"HP_VITREOUS_HEMORRHAGE","SYSTEMATIC_NAME":"M37144","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007902","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007902","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Vitreous hemorrhage","DESCRIPTION_FULL":"Bleeding within the vitreous compartment of the eye. [DDD:akelly, PMID:16882398]"}
{"STANDARD_NAME":"HP_TRACTIONAL_RETINAL_DETACHMENT","SYSTEMATIC_NAME":"M37145","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007917","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007917","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Tractional retinal detachment","DESCRIPTION_FULL":"A type of retinal detachment arising due to a combination of contracting retinal membranes, abnormal vitreoretinal adhesions, and vitreous changes. It is usually seen in the context of diseases that induce a fibrovascular response, e.g. diabetes. [HPO:probinson, ISBN-13:978-0199679980]"}
{"STANDARD_NAME":"HP_SLOW_DECREASE_IN_VISUAL_ACUITY","SYSTEMATIC_NAME":"M37146","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007924","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007924","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Slow decrease in visual acuity"}
{"STANDARD_NAME":"HP_LACRIMAL_DUCT_APLASIA","SYSTEMATIC_NAME":"M37147","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007925","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007925","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Lacrimal duct aplasia","DESCRIPTION_FULL":"A congenital defect resulting in absence of the lacrimal duct. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LIMITED_EXTRAOCULAR_MOVEMENTS","SYSTEMATIC_NAME":"M37149","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007941","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007941","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Limited extraocular movements"}
{"STANDARD_NAME":"HP_CORNEAL_OPACITY","SYSTEMATIC_NAME":"M37150","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007957","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007957","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Corneal opacity","DESCRIPTION_FULL":"A reduction of corneal clarity. [HPO:probinson]"}
{"STANDARD_NAME":"HP_UNDETECTABLE_VISUAL_EVOKED_POTENTIALS","SYSTEMATIC_NAME":"M37151","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007965","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007965","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Undetectable visual evoked potentials"}
{"STANDARD_NAME":"HP_REMNANTS_OF_THE_HYALOID_VASCULAR_SYSTEM","SYSTEMATIC_NAME":"M37152","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007968","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007968","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Remnants of the hyaloid vascular system","DESCRIPTION_FULL":"Persistence of the hyaloid artery, which is the embryonic artery that runs from the optic disk to the posterior lens capsule may persist; the site of attachment may form an opacity. The hyaloid artery is a branch of the ophthalmic artery, and usually regresses completely before birth. This features results from a failure of regression of the hyaloid vessel, which supplies the primary vitreous during embryogenesis and normally regresses in the third trimester of pregnancy, leading to a particular form of posterior cataract. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CONGENITAL_PTOSIS","SYSTEMATIC_NAME":"M41357","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007970","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007970","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Congenital ptosis"}
{"STANDARD_NAME":"HP_RETINAL_DYSPLASIA","SYSTEMATIC_NAME":"M37153","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007973","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007973","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Retinal dysplasia","DESCRIPTION_FULL":"The presence of developmental dysplasia of the retina. [HPO:probinson]"}
{"STANDARD_NAME":"HP_GAZE_EVOKED_HORIZONTAL_NYSTAGMUS","SYSTEMATIC_NAME":"M37154","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007979","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007979","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Gaze-evoked horizontal nystagmus","DESCRIPTION_FULL":"Horizontal nystagmus made apparent by looking to the right or to the left. [HPO:curators]"}
{"STANDARD_NAME":"HP_PROGRESSIVE_VISUAL_FIELD_DEFECTS","SYSTEMATIC_NAME":"M37155","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007987","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007987","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Progressive visual field defects"}
{"STANDARD_NAME":"HP_HYPOPLASTIC_IRIS_STROMA","SYSTEMATIC_NAME":"M37156","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007990","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007990","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypoplastic iris stroma","DESCRIPTION_FULL":"Underdevelopment of the stroma of iris. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PERIPHERAL_VISUAL_FIELD_LOSS","SYSTEMATIC_NAME":"M37157","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0007994","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0007994","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Peripheral visual field loss","DESCRIPTION_FULL":"Loss of peripheral vision with retention of central vision, resulting in a constricted circular tunnel-like field of vision. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DECREASED_CORNEAL_REFLEX","SYSTEMATIC_NAME":"M37158","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008000","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008000","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased corneal reflex","DESCRIPTION_FULL":"An abnormally reduced response to stimulation of the cornea (by touch, foreign body, blowing air). The corneal reflex (also known as the blink reflex, normally results in an involuntary blinking of the eyelids. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_MACULAR_PIGMENTATION","SYSTEMATIC_NAME":"M37159","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008002","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008002","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of macular pigmentation","DESCRIPTION_FULL":"Abnormality of macular or foveal pigmentation. [DDD:ncarter]"}
{"STANDARD_NAME":"HP_JERKY_OCULAR_PURSUIT_MOVEMENTS","SYSTEMATIC_NAME":"M37160","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008003","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008003","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Jerky ocular pursuit movements"}
{"STANDARD_NAME":"HP_PRIMARY_CONGENITAL_GLAUCOMA","SYSTEMATIC_NAME":"M37161","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008007","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008007","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Primary congenital glaucoma"}
{"STANDARD_NAME":"HP_PERIPHERAL_OPACIFICATION_OF_THE_CORNEA","SYSTEMATIC_NAME":"M37162","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008011","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008011","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Peripheral opacification of the cornea","DESCRIPTION_FULL":"Reduced transparency of the peripheral region of the cornea. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_IRIS_PIGMENTATION","SYSTEMATIC_NAME":"M37163","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008034","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008034","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal iris pigmentation","DESCRIPTION_FULL":"Abnormal pigmentation of the iris. [HPO:probinson]"}
{"STANDARD_NAME":"HP_APLASTIC_HYPOPLASTIC_LACRIMAL_GLANDS","SYSTEMATIC_NAME":"M37164","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008038","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008038","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplastic/hypoplastic lacrimal glands","DESCRIPTION_FULL":"Absence or underdevelopment of the lacrimal gland. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_RETINAL_VASCULAR_MORPHOLOGY","SYSTEMATIC_NAME":"M37165","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008046","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008046","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal retinal vascular morphology","DESCRIPTION_FULL":"A structural abnormality of retinal vasculature. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_VASCULATURE_OF_THE_EYE","SYSTEMATIC_NAME":"M37166","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008047","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008047","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the vasculature of the eye"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_EXTRAOCULAR_MUSCLES","SYSTEMATIC_NAME":"M37167","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008049","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008049","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the extraocular muscles","DESCRIPTION_FULL":"An abnormality of an extraocular muscle. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_PALPEBRAL_FISSURES","SYSTEMATIC_NAME":"M37168","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008050","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008050","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the palpebral fissures","DESCRIPTION_FULL":"An anomaly of the space between the medial and lateral canthi of the two open eyelids. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RETINAL_FOLD","SYSTEMATIC_NAME":"M37169","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008052","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008052","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Retinal fold","DESCRIPTION_FULL":"A wrinkle of retinal tissue projecting outward from the surface of the retina and visible as a line on fundoscopy. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_MORPHOLOGY_OF_THE_CONJUNCTIVAL_VASCULATURE","SYSTEMATIC_NAME":"M37170","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008054","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008054","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal morphology of the conjunctival vasculature","DESCRIPTION_FULL":"Any abnormality of the blood vessels of the conjunctiva. [HPO:curators]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_AFFECTING_THE_EYE","SYSTEMATIC_NAME":"M37171","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008056","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008056","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia affecting the eye"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_AFFECTING_THE_FUNDUS","SYSTEMATIC_NAME":"M37172","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008057","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008057","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia affecting the fundus"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_OPTIC_NERVE","SYSTEMATIC_NAME":"M37173","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008058","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008058","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the optic nerve"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_RETINA","SYSTEMATIC_NAME":"M37174","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008061","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008061","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the retina"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_AFFECTING_THE_ANTERIOR_SEGMENT_OF_THE_EYE","SYSTEMATIC_NAME":"M37175","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008062","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008062","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia affecting the anterior segment of the eye","DESCRIPTION_FULL":"Absence or underdevelopment of the anterior segment of the eye. [HPO:probinson]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_LENS","SYSTEMATIC_NAME":"M37176","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008063","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008063","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the lens","DESCRIPTION_FULL":"Absence or underdevelopment of the lens. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ICHTHYOSIS","SYSTEMATIC_NAME":"M37177","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008064","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008064","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ichthyosis","DESCRIPTION_FULL":"An abnormality of the skin characterized the presence of excessive amounts of dry surface scales on the skin resulting from an abnormality of keratinization. [HPO:probinson]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_SKIN","SYSTEMATIC_NAME":"M37178","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008065","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008065","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the skin"}
{"STANDARD_NAME":"HP_ABNORMAL_BLISTERING_OF_THE_SKIN","SYSTEMATIC_NAME":"M37179","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008066","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008066","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal blistering of the skin","DESCRIPTION_FULL":"The presence of one or more bullae on the skin, defined as fluid-filled blisters more than 5 mm in diameter with thin walls. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALLY_LAX_OR_HYPEREXTENSIBLE_SKIN","SYSTEMATIC_NAME":"M37180","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008067","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008067","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormally lax or hyperextensible skin"}
{"STANDARD_NAME":"HP_NEOPLASM_OF_THE_SKIN","SYSTEMATIC_NAME":"M37181","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008069","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008069","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neoplasm of the skin","DESCRIPTION_FULL":"A tumor (abnormal growth of tissue) of the skin. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SPARSE_HAIR","SYSTEMATIC_NAME":"M37182","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008070","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008070","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Sparse hair","DESCRIPTION_FULL":"Reduced density of hairs. [HPO:probinson, PMID:14676077]"}
{"STANDARD_NAME":"HP_MATERNAL_HYPERTENSION","SYSTEMATIC_NAME":"M37183","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008071","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008071","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Maternal hypertension","DESCRIPTION_FULL":"Increased blood pressure during a pregnancy. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_PROGRESSIVE_PES_CAVUS","SYSTEMATIC_NAME":"M37184","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008075","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008075","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Progressive pes cavus","DESCRIPTION_FULL":"The development of Pes cavus that is progressive with age. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PES_VALGUS","SYSTEMATIC_NAME":"M37185","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008081","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008081","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pes valgus","DESCRIPTION_FULL":"An outward deviation of the foot at the talocalcaneal or subtalar joint. []"}
{"STANDARD_NAME":"HP_EQUINOVARUS_DEFORMITY","SYSTEMATIC_NAME":"M37186","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008110","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008110","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Equinovarus deformity"}
{"STANDARD_NAME":"HP_DEFORMED_TARSAL_BONES","SYSTEMATIC_NAME":"M37187","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008119","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008119","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Deformed tarsal bones"}
{"STANDARD_NAME":"HP_EQUINUS_CALCANEUS","SYSTEMATIC_NAME":"M37188","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008138","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008138","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Equinus calcaneus","DESCRIPTION_FULL":"Abnormal plantar flexion of the calcaneus relative to the longitudinal axis of the tibia. This results in the angle between the long axis of the tibia and the long axis of the heel bone (calcaneus) being greater than 90 degrees. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PERIODIC_HYPOKALEMIC_PARESIS","SYSTEMATIC_NAME":"M37189","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008153","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008153","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Periodic hypokalemic paresis","DESCRIPTION_FULL":"Episodes of muscle weakness associated with reduced levels of potassium in the blood. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DECREASED_CIRCULATING_CORTISOL_LEVEL","SYSTEMATIC_NAME":"M37190","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008163","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008163","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased circulating cortisol level","DESCRIPTION_FULL":"Abnormally reduced concentration of cortisol in the blood. [HPO:probinson]"}
{"STANDARD_NAME":"HP_VERY_LONG_CHAIN_FATTY_ACID_ACCUMULATION","SYSTEMATIC_NAME":"M37191","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008167","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008167","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Very long chain fatty acid accumulation"}
{"STANDARD_NAME":"HP_MILDLY_ELEVATED_CREATINE_KINASE","SYSTEMATIC_NAME":"M37192","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008180","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008180","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Mildly elevated creatine kinase"}
{"STANDARD_NAME":"HP_ABSENCE_OF_SECONDARY_SEX_CHARACTERISTICS","SYSTEMATIC_NAME":"M37193","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008187","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008187","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Absence of secondary sex characteristics","DESCRIPTION_FULL":"No secondary sexual characteristics are present at puberty. [HPO:probinson]"}
{"STANDARD_NAME":"HP_THYROID_DYSGENESIS","SYSTEMATIC_NAME":"M37194","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008188","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008188","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Thyroid dysgenesis"}
{"STANDARD_NAME":"HP_THYROID_AGENESIS","SYSTEMATIC_NAME":"M37195","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008191","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008191","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Thyroid agenesis","DESCRIPTION_FULL":"The congenital absence of the thyroid gland. [HPO:probinson, PMID:2918525]"}
{"STANDARD_NAME":"HP_PRIMARY_GONADAL_INSUFFICIENCY","SYSTEMATIC_NAME":"M37196","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008193","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008193","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Primary gonadal insufficiency"}
{"STANDARD_NAME":"HP_ABSENCE_OF_PUBERTAL_DEVELOPMENT","SYSTEMATIC_NAME":"M37197","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008197","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008197","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Absence of pubertal development"}
{"STANDARD_NAME":"HP_PRIMARY_HYPERPARATHYROIDISM","SYSTEMATIC_NAME":"M37198","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008200","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008200","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Primary hyperparathyroidism","DESCRIPTION_FULL":"A type of hyperparathyroidism caused by a primary abnormality of the parathyroid glands (e.g., adenoma, carcinoma, hyperplasia). Primary hyperparathyroidism is associated with hyercalcemia. [HPO:probinson]"}
{"STANDARD_NAME":"HP_REDUCED_CIRCULATING_PROLACTIN_CONCENTRATION","SYSTEMATIC_NAME":"M37199","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008202","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008202","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Reduced circulating prolactin concentration","DESCRIPTION_FULL":"A reduced level of prolactin in the blood circulation. Prolactin is a protein hormone that is secreted by lactotrophs in the anterior pituitary and that stimulates mammary gland development and milk production. [DDD:spark, HPO:probinson, PMID:23378139]"}
{"STANDARD_NAME":"HP_PRIMARY_ADRENAL_INSUFFICIENCY","SYSTEMATIC_NAME":"M37200","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008207","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008207","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Primary adrenal insufficiency","DESCRIPTION_FULL":"Insufficient production of steroid hormones (primarily cortisol) by the adrenal glands as a result of a primary defect in the glands themselves. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PARATHYROID_HYPERPLASIA","SYSTEMATIC_NAME":"M37201","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008208","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008208","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Parathyroid hyperplasia","DESCRIPTION_FULL":"Hyperplasia of the parathyroid gland. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PREMATURE_OVARIAN_INSUFFICIENCY","SYSTEMATIC_NAME":"M37202","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008209","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008209","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Premature ovarian insufficiency","DESCRIPTION_FULL":"Amenorrhea due to loss of ovarian function before the age of 40. Primary ovarian inssuficiency (POI) is a state of female hypergonadotropic hypogonadism. It can manifest as primary amenorrhea with onset before menarche or secondary amenorrhea. [HPO:probinson]"}
{"STANDARD_NAME":"HP_GONADOTROPIN_DEFICIENCY","SYSTEMATIC_NAME":"M37203","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008213","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008213","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Gonadotropin deficiency","DESCRIPTION_FULL":"A reduced ability to secrete gonadotropins, which are protein hormones secreted by gonadotrope cells of the anterior pituitary gland, including the hormones follitropin (FSH) and luteinizing hormone (LH). [DDD:spark]"}
{"STANDARD_NAME":"HP_ADRENAL_HYPERPLASIA","SYSTEMATIC_NAME":"M37204","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008221","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008221","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Adrenal hyperplasia","DESCRIPTION_FULL":"Enlargement of the adrenal gland. [DDD:spark]"}
{"STANDARD_NAME":"HP_FEMALE_INFERTILITY","SYSTEMATIC_NAME":"M37205","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008222","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008222","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Female infertility"}
{"STANDARD_NAME":"HP_COMPENSATED_HYPOTHYROIDISM","SYSTEMATIC_NAME":"M37206","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008223","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008223","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Compensated hypothyroidism","DESCRIPTION_FULL":"Condition associated with a raised serum concentration of thyroid stimulating hormone (TSH) but a normal serum free thyroxine (FT4). [PMID:28406057]"}
{"STANDARD_NAME":"HP_ELEVATED_CIRCULATING_FOLLICLE_STIMULATING_HORMONE_LEVEL","SYSTEMATIC_NAME":"M37207","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008232","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008232","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Elevated circulating follicle stimulating hormone level","DESCRIPTION_FULL":"An elevated concentration of follicle-stimulating hormone in the blood. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DECREASED_CIRCULATING_PROGESTERONE","SYSTEMATIC_NAME":"M37208","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008233","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008233","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased circulating progesterone","DESCRIPTION_FULL":"An reduced concentration of progesterone in the blood. []"}
{"STANDARD_NAME":"HP_HYPOTHALAMIC_HYPOTHYROIDISM","SYSTEMATIC_NAME":"M37209","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008237","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008237","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypothalamic hypothyroidism","DESCRIPTION_FULL":"A type of hypothyroidism that results from a defect in thyrotropin-releasing hormone activity. [HPO:probinson, PMID:18731015]"}
{"STANDARD_NAME":"HP_SECONDARY_GROWTH_HORMONE_DEFICIENCY","SYSTEMATIC_NAME":"M37210","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008240","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008240","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Secondary growth hormone deficiency"}
{"STANDARD_NAME":"HP_PSEUDOHYPOALDOSTERONISM","SYSTEMATIC_NAME":"M37211","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008242","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008242","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pseudohypoaldosteronism","DESCRIPTION_FULL":"A state of renal tubular unresponsiveness or resistance to the action of aldosterone. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PITUITARY_HYPOTHYROIDISM","SYSTEMATIC_NAME":"M41358","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008245","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008245","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pituitary hypothyroidism","DESCRIPTION_FULL":"A type of hypothyroidism that results from a defect in thyroid-stimulating hormone secretion. [HPO:probinson]"}
{"STANDARD_NAME":"HP_TRANSIENT_NEONATAL_DIABETES_MELLITUS","SYSTEMATIC_NAME":"M41359","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008255","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008255","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Transient neonatal diabetes mellitus"}
{"STANDARD_NAME":"HP_ADRENOCORTICAL_ADENOMA","SYSTEMATIC_NAME":"M37212","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008256","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008256","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Adrenocortical adenoma","DESCRIPTION_FULL":"Adrenocortical adenomas are benign tumors of the adrenal cortex. [HPO:probinson, PMID:17287480]"}
{"STANDARD_NAME":"HP_CONGENITAL_ADRENAL_HYPERPLASIA","SYSTEMATIC_NAME":"M37213","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008258","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008258","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Congenital adrenal hyperplasia","DESCRIPTION_FULL":"A type of adrenal hyperplasia with congenital onset. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PANCREATIC_ISLET_CELL_ADENOMA","SYSTEMATIC_NAME":"M37214","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008261","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008261","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pancreatic islet cell adenoma","DESCRIPTION_FULL":"The presence of an adenoma of the pancreas with origin in a pancreatic B cell. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_LIGHT_ADAPTED_ELECTRORETINOGRAM","SYSTEMATIC_NAME":"M41360","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008275","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008275","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal light-adapted electroretinogram"}
{"STANDARD_NAME":"HP_ABNORMAL_BLOOD_ZINC_CONCENTRATION","SYSTEMATIC_NAME":"M41361","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008277","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008277","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal blood zinc concentration","DESCRIPTION_FULL":"An abnormality of zinc ion homeostasis. [HPO:probinson]"}
{"STANDARD_NAME":"HP_UNCONJUGATED_HYPERBILIRUBINEMIA","SYSTEMATIC_NAME":"M37215","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008282","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008282","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Unconjugated hyperbilirubinemia","DESCRIPTION_FULL":"An increased amount of unconjugated (indirect) bilurubin in the blood. [HPO:probinson]"}
{"STANDARD_NAME":"HP_FASTING_HYPERINSULINEMIA","SYSTEMATIC_NAME":"M37216","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008283","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008283","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Fasting hyperinsulinemia","DESCRIPTION_FULL":"An increased concentration of insulin in the blood in the fasting state, i.e., not as the response to food intake. [HPO:probinson]"}
{"STANDARD_NAME":"HP_EXERCISE_INDUCED_MYOGLOBINURIA","SYSTEMATIC_NAME":"M37217","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008305","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008305","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Exercise-induced myoglobinuria","DESCRIPTION_FULL":"Presence of myoglobin in the urine following exercise. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DECREASED_ACTIVITY_OF_MITOCHONDRIAL_COMPLEX_II","SYSTEMATIC_NAME":"M37218","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008314","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008314","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased activity of mitochondrial complex II","DESCRIPTION_FULL":"A reduction in the activity of the mitochondrial respiratory chain complex II, which is part of the electron transport chain in mitochondria. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_MITOCHONDRIA_IN_MUSCLE_TISSUE","SYSTEMATIC_NAME":"M37219","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008316","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008316","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal mitochondria in muscle tissue","DESCRIPTION_FULL":"An abnormality of the mitochondria in muscle tissue. [HPO:probinson]"}
{"STANDARD_NAME":"HP_IMPAIRED_COLLAGEN_INDUCED_PLATELET_AGGREGATION","SYSTEMATIC_NAME":"M41362","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008320","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008320","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Impaired collagen-induced platelet aggregation","DESCRIPTION_FULL":"Abnormal response to collagen or collagen-mimetics as manifested by reduced or lacking aggregation of platelets upon addition collagen or collagen-mimetics. [DDD:kfreson]"}
{"STANDARD_NAME":"HP_ABNORMAL_MITOCHONDRIAL_MORPHOLOGY","SYSTEMATIC_NAME":"M37220","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008322","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008322","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal mitochondrial morphology","DESCRIPTION_FULL":"Any structural anomaly of the mitochondria. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_LIGHT_AND_DARK_ADAPTED_ELECTRORETINOGRAM","SYSTEMATIC_NAME":"M41363","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008323","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008323","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal light- and dark-adapted electroretinogram","DESCRIPTION_FULL":"An abnormality of the combined rod-and-cone response on electroretinogram. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ELEVATED_CREATINE_KINASE_AFTER_EXERCISE","SYSTEMATIC_NAME":"M37221","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008331","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008331","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Elevated creatine kinase after exercise"}
{"STANDARD_NAME":"HP_DISTAL_RENAL_TUBULAR_ACIDOSIS","SYSTEMATIC_NAME":"M37222","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008341","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008341","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Distal renal tubular acidosis","DESCRIPTION_FULL":"A type of renal tubular acidosis characterized by a failure of acid secretion by the alpha intercalated cells of the cortical collecting duct of the distal nephron. The urine cannot be acidified below a pH of 5.3, associated with acidemia and hypokalemia. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DECREASED_ACTIVITY_OF_MITOCHONDRIAL_COMPLEX_IV","SYSTEMATIC_NAME":"M37223","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008347","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008347","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased activity of mitochondrial complex IV","DESCRIPTION_FULL":"A reduction in the activity of the mitochondrial respiratory chain complex IV, which is part of the electron transport chain in mitochondria. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DECREASED_CIRCULATING_IGG2_LEVEL","SYSTEMATIC_NAME":"M37224","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008348","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008348","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased circulating IgG2 level","DESCRIPTION_FULL":"A reduction in immunoglobulin levels of the IgG2 subclass in the blood circulation. [HPO:probinson]"}
{"STANDARD_NAME":"HP_REDUCED_FACTOR_XIII_ACTIVITY","SYSTEMATIC_NAME":"M37225","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008357","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008357","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Reduced factor XIII activity","DESCRIPTION_FULL":"Decreased activity of coagulation factor XIII (also known as fibrin stabilizing factor). Activated Factor XIII cross-links fibrin polymers solidifying the clot. [HPO:probinson]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_HALLUX","SYSTEMATIC_NAME":"M37226","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008362","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008362","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the hallux","DESCRIPTION_FULL":"Absence or underdevelopment of the big toe. [HPO:curators]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_CALCANEUS","SYSTEMATIC_NAME":"M37227","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008364","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008364","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the calcaneus","DESCRIPTION_FULL":"An abnormality of the calcaneus, also known as the heel bone, one of the or heel bone, one of the components of the tarsus of the foot which make up the heel. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_TALUS","SYSTEMATIC_NAME":"M37228","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008365","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008365","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the talus","DESCRIPTION_FULL":"An abnormality of the talus. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CONTRACTURES_INVOLVING_THE_JOINTS_OF_THE_FEET","SYSTEMATIC_NAME":"M37229","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008366","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008366","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Contractures involving the joints of the feet"}
{"STANDARD_NAME":"HP_ABNORMAL_TARSAL_OSSIFICATION","SYSTEMATIC_NAME":"M37230","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008369","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008369","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal tarsal ossification","DESCRIPTION_FULL":"An abnormality of the formation and mineralization of any of the tarsal bones, seven bones of the foot comprising the calcaneus, talus, cuboid, navicular, and the cuneiform bones. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_VITAMIN_A_METABOLISM","SYSTEMATIC_NAME":"M37231","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008372","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008372","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of vitamin A metabolism"}
{"STANDARD_NAME":"HP_PUBERTY_AND_GONADAL_DISORDERS","SYSTEMATIC_NAME":"M37232","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008373","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008373","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Puberty and gonadal disorders"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_NAILS","SYSTEMATIC_NAME":"M37233","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008386","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008386","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the nails","DESCRIPTION_FULL":"Aplasia or developmental hypoplasia of the nail. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_TOENAIL_MORPHOLOGY","SYSTEMATIC_NAME":"M37234","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008388","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008388","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal toenail morphology","DESCRIPTION_FULL":"An anomaly of the toenail. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DYSTROPHIC_FINGERNAILS","SYSTEMATIC_NAME":"M37235","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008391","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008391","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Dystrophic fingernails","DESCRIPTION_FULL":"The presence of misshapen or partially destroyed nail plates, often with accumulation of soft, yellow keratin between the dystrophic nail plate and nail bed, resulting in elevation of the nail plate. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SUBUNGUAL_HYPERKERATOSIS","SYSTEMATIC_NAME":"M37236","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008392","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008392","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Subungual hyperkeratosis","DESCRIPTION_FULL":"A thickening of the stratum corneum in the region beneath the nails. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ONYCHOGRYPOSIS_OF_TOENAILS","SYSTEMATIC_NAME":"M41364","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008401","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008401","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Onychogryposis of toenails","DESCRIPTION_FULL":"Thickened toenails. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RIDGED_FINGERNAIL","SYSTEMATIC_NAME":"M37237","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008402","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008402","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ridged fingernail","DESCRIPTION_FULL":"Longitudinal, linear prominences in the fingernail plate. [HPO:probinson, PMID:19125433]"}
{"STANDARD_NAME":"HP_NAIL_DYSTROPHY","SYSTEMATIC_NAME":"M37238","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008404","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008404","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Nail dystrophy","DESCRIPTION_FULL":"Onychodystrophy (nail dystrophy) refers to nail changes apart from changes of the color (nail dyschromia) and involves partial or complete disruption of the various keratinous layers of the nail plate. [PMID:19675700]"}
{"STANDARD_NAME":"HP_VERTEBRAL_HYPOPLASIA","SYSTEMATIC_NAME":"M37239","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008417","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008417","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Vertebral hypoplasia","DESCRIPTION_FULL":"Small, underdeveloped vertebral bodies. [HPO:probinson]"}
{"STANDARD_NAME":"HP_VERTEBRAL_WEDGING","SYSTEMATIC_NAME":"M37240","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008422","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008422","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Vertebral wedging","DESCRIPTION_FULL":"An abnormal shape of the vertebral bodies whereby the vertebral bodies are thick on one side and taper to a thin edge at the other. [HPO:probinson]"}
{"STANDARD_NAME":"HP_VERTEBRAL_CLEFTING","SYSTEMATIC_NAME":"M37241","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008428","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008428","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Vertebral clefting","DESCRIPTION_FULL":"Schisis (cleft or cleavage) of vertebral bodies. [HPO:probinson]"}
{"STANDARD_NAME":"HP_VERTEBRAL_ARCH_ANOMALY","SYSTEMATIC_NAME":"M37242","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008438","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008438","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Vertebral arch anomaly","DESCRIPTION_FULL":"A morphological abnormality of the vertebral arch, i.e., of the posterior part of a vertebra. [HPO:probinson]"}
{"STANDARD_NAME":"HP_C1_C2_VERTEBRAL_ABNORMALITY","SYSTEMATIC_NAME":"M37243","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008440","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008440","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"C1-C2 vertebral abnormality","DESCRIPTION_FULL":"Any abnormality of the atlas and the axis. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SPINAL_DEFORMITIES","SYSTEMATIC_NAME":"M37244","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008443","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008443","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Spinal deformities"}
{"STANDARD_NAME":"HP_CERVICAL_SPINAL_CANAL_STENOSIS","SYSTEMATIC_NAME":"M37245","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008445","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008445","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cervical spinal canal stenosis","DESCRIPTION_FULL":"An abnormal narrowing of the cervical spinal canal. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NARROW_VERTEBRAL_INTERPEDICULAR_DISTANCE","SYSTEMATIC_NAME":"M37246","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008450","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008450","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Narrow vertebral interpedicular distance","DESCRIPTION_FULL":"A reduction of the distance between vertebral pedicles, which are the two short, thick processes, which project backward, one on either side, from the upper part of the vertebral body, at the junction of its posterior and lateral surfaces. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPOPLASTIC_VERTEBRAL_BODIES","SYSTEMATIC_NAME":"M37247","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008479","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008479","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypoplastic vertebral bodies"}
{"STANDARD_NAME":"HP_ASYMMETRY_OF_SPINAL_FACET_JOINTS","SYSTEMATIC_NAME":"M37248","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008482","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008482","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Asymmetry of spinal facet joints"}
{"STANDARD_NAME":"HP_INFERIOR_LENS_SUBLUXATION","SYSTEMATIC_NAME":"M37249","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008494","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008494","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Inferior lens subluxation","DESCRIPTION_FULL":"Partial displacement of the lens in the inferior direction. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MULTIPLE_ROWS_OF_EYELASHES","SYSTEMATIC_NAME":"M37250","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008496","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008496","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Multiple rows of eyelashes"}
{"STANDARD_NAME":"HP_CONGENITAL_CRANIOFACIAL_DYSOSTOSIS","SYSTEMATIC_NAME":"M37251","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008497","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008497","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Congenital craniofacial dysostosis"}
{"STANDARD_NAME":"HP_HIGH_HYPERMETROPIA","SYSTEMATIC_NAME":"M37252","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008499","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008499","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"High hypermetropia","DESCRIPTION_FULL":"A severe form of hypermetropia with over +5.00 diopters. [DDD:ncarter, ORCID:0000-0003-0986-4123]"}
{"STANDARD_NAME":"HP_MEDIAN_CLEFT_LIP_AND_PALATE","SYSTEMATIC_NAME":"M37253","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008501","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008501","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Median cleft lip and palate","DESCRIPTION_FULL":"Cleft lip or palate affecting the midline region of the palate. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_MODERATE_SENSORINEURAL_HEARING_IMPAIRMENT","SYSTEMATIC_NAME":"M37254","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008504","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008504","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Moderate sensorineural hearing impairment","DESCRIPTION_FULL":"The presence of a moderate form of sensorineural hearing impairment. [HPO:probinson]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_SACRUM","SYSTEMATIC_NAME":"M37255","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008517","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008517","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the sacrum","DESCRIPTION_FULL":"Aplasia or developmental hypoplasia of the sacral bone. [HPO:probinson]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_INVOLVING_THE_VERTEBRAL_COLUMN","SYSTEMATIC_NAME":"M37256","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008518","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008518","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia involving the vertebral column"}
{"STANDARD_NAME":"HP_ABNORMAL_COCCYX_MORPHOLOGY","SYSTEMATIC_NAME":"M37257","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008519","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008519","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal coccyx morphology","DESCRIPTION_FULL":"Any structural abnormality of the coccyx. [HPO:probinson]"}
{"STANDARD_NAME":"HP_POSTERIOR_HELIX_PIT","SYSTEMATIC_NAME":"M37258","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008523","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008523","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Posterior helix pit","DESCRIPTION_FULL":"Permanent indentation on the posteromedial aspect of the helix that may be sharply or indistinctly delineated. [PMID:19152421]"}
{"STANDARD_NAME":"HP_CONGENITAL_SENSORINEURAL_HEARING_IMPAIRMENT","SYSTEMATIC_NAME":"M37259","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008527","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008527","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Congenital sensorineural hearing impairment","DESCRIPTION_FULL":"A type of hearing impairment caused by an abnormal functionality of the cochlear nerve with congenital onset. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALLY_FOLDED_HELIX","SYSTEMATIC_NAME":"M37260","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008544","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008544","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormally folded helix"}
{"STANDARD_NAME":"HP_COCHLEAR_MALFORMATION","SYSTEMATIC_NAME":"M37261","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008554","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008554","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cochlear malformation","DESCRIPTION_FULL":"The presence of a malformed cochlea. [HPO:probinson]"}
{"STANDARD_NAME":"HP_EXTERNAL_EAR_MALFORMATION","SYSTEMATIC_NAME":"M37262","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008572","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008572","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"External ear malformation","DESCRIPTION_FULL":"A malformation of the auricle of the ear. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPOPLASTIC_HELICES","SYSTEMATIC_NAME":"M37263","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008589","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008589","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypoplastic helices","DESCRIPTION_FULL":"Underdevelopment of the helix, i.e., of the outer rim of the pinna. [HPO:curators]"}
{"STANDARD_NAME":"HP_PROMINENT_ANTITRAGUS","SYSTEMATIC_NAME":"M41365","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008593","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008593","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Prominent antitragus","DESCRIPTION_FULL":"Increased anterosuperior prominence of the area between the bottom of the incisura and the inner margin of the antihelix. [HPO:curators, PMID:19152421]"}
{"STANDARD_NAME":"HP_MORPHOLOGICAL_ABNORMALITY_OF_THE_MIDDLE_EAR","SYSTEMATIC_NAME":"M37264","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008609","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008609","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Morphological abnormality of the middle ear","DESCRIPTION_FULL":"An abnormality of the morphology or structure of the middle ear. [DDD:mbitner-glidicz]"}
{"STANDARD_NAME":"HP_ADULT_ONSET_SENSORINEURAL_HEARING_IMPAIRMENT","SYSTEMATIC_NAME":"M41366","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008615","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008615","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Adult onset sensorineural hearing impairment","DESCRIPTION_FULL":"The presence of sensorineural deafness with late onset. [HPO:probinson]"}
{"STANDARD_NAME":"HP_BILATERAL_SENSORINEURAL_HEARING_IMPAIRMENT","SYSTEMATIC_NAME":"M37265","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008619","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008619","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Bilateral sensorineural hearing impairment","DESCRIPTION_FULL":"A bilateral form of sensorineural hearing impairment. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_STAPES","SYSTEMATIC_NAME":"M37266","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008628","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008628","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the stapes","DESCRIPTION_FULL":"An abnormality of the stapes, a stirrup-shaped ossicle in the middle ear. [HPO:probinson]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_FALLOPIAN_TUBE","SYSTEMATIC_NAME":"M37267","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008655","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008655","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the fallopian tube","DESCRIPTION_FULL":"Aplasia or developmental hypoplasia of the fallopian tube. [HPO:probinson]"}
{"STANDARD_NAME":"HP_URETHRAL_STENOSIS","SYSTEMATIC_NAME":"M37269","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008661","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008661","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Urethral stenosis","DESCRIPTION_FULL":"Abnormal narrowing of the urethra. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_SPERMATOGENESIS","SYSTEMATIC_NAME":"M37270","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008669","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008669","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal spermatogenesis","DESCRIPTION_FULL":"Incomplete maturation or aberrant formation of the male gametes. [HPO:probinson, MP:0001156]"}
{"STANDARD_NAME":"HP_RENAL_HYPOPLASIA_APLASIA","SYSTEMATIC_NAME":"M37271","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008678","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008678","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Renal hypoplasia/aplasia","DESCRIPTION_FULL":"Absence or underdevelopment of the kidney. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RENAL_TUBULAR_EPITHELIAL_NECROSIS","SYSTEMATIC_NAME":"M41367","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008682","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008682","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Renal tubular epithelial necrosis","DESCRIPTION_FULL":"Coagulative necrosis of tubular epithelial cells, defined as cells with increased cytoplasmic eosinophilia and nucleus that has a condensed chromatin pattern with fuzzy nuclear contour or has barely visible nuclear basophilic staining. The extent of cortical tubular necrosis is scoredsemiquantitatively as none, mild (less than 25% tubules with necrosis), moderate (25-50 percent), and severe (over 50%). [HPO:probinson]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_UTERUS","SYSTEMATIC_NAME":"M37272","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008684","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008684","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/hypoplasia of the uterus","DESCRIPTION_FULL":"Absence or developmental hypoplasia of the uterus. [HPO:probinson]"}
{"STANDARD_NAME":"HP_BILATERAL_CRYPTORCHIDISM","SYSTEMATIC_NAME":"M37273","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008689","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008689","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Bilateral cryptorchidism","DESCRIPTION_FULL":"Absence of both testes from the scrotum owing to failure of the testis or testes to descend through the inguinal canal to the scrotum. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RENAL_HAMARTOMA","SYSTEMATIC_NAME":"M37274","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008696","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008696","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Renal hamartoma","DESCRIPTION_FULL":"A disordered proliferation of mature tissues that are native to the kidneys. [DDD:rscott, HPO:probinson]"}
{"STANDARD_NAME":"HP_TESTICULAR_DYSGENESIS","SYSTEMATIC_NAME":"M37275","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008715","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008715","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Testicular dysgenesis"}
{"STANDARD_NAME":"HP_URETHROVAGINAL_FISTULA","SYSTEMATIC_NAME":"M37276","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008716","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008716","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Urethrovaginal fistula","DESCRIPTION_FULL":"The presence of a fistula between the vagina and the urethra. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPOPLASIA_OF_THE_VAGINA","SYSTEMATIC_NAME":"M37277","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008726","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008726","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypoplasia of the vagina","DESCRIPTION_FULL":"Developmental hypoplasia of the vagina. [HPO:probinson]"}
{"STANDARD_NAME":"HP_FEMALE_EXTERNAL_GENITALIA_IN_INDIVIDUAL_WITH_46_XY_KARYOTYPE","SYSTEMATIC_NAME":"M37278","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008730","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008730","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Female external genitalia in individual with 46,XY karyotype","DESCRIPTION_FULL":"The presence of female external genitalia in a person with a male karyotype. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DECREASED_TESTICULAR_SIZE","SYSTEMATIC_NAME":"M37279","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008734","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008734","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased testicular size","DESCRIPTION_FULL":"Reduced volume of the testicle (the male gonad). [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPOPLASIA_OF_PENIS","SYSTEMATIC_NAME":"M37280","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008736","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008736","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypoplasia of penis"}
{"STANDARD_NAME":"HP_LARYNGEAL_HYPOPLASIA","SYSTEMATIC_NAME":"M37281","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008749","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008749","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Laryngeal hypoplasia","DESCRIPTION_FULL":"Underdevelopment of the larynx. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LARYNGOTRACHEOMALACIA","SYSTEMATIC_NAME":"M37282","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008755","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008755","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Laryngotracheomalacia"}
{"STANDARD_NAME":"HP_REPETITIVE_COMPULSIVE_BEHAVIOR","SYSTEMATIC_NAME":"M37283","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008762","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008762","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Repetitive compulsive behavior"}
{"STANDARD_NAME":"HP_AUDITORY_HALLUCINATIONS","SYSTEMATIC_NAME":"M37284","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008765","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008765","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Auditory hallucinations"}
{"STANDARD_NAME":"HP_INAPPROPRIATE_SEXUAL_BEHAVIOR","SYSTEMATIC_NAME":"M41368","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008768","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008768","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Inappropriate sexual behavior"}
{"STANDARD_NAME":"HP_OBSESSIVE_COMPULSIVE_TRAIT","SYSTEMATIC_NAME":"M37285","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008770","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008770","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Obsessive-compulsive trait","DESCRIPTION_FULL":"The presence of one or more obsessive-compulsive personality traits. Obsessions refer to persistent intrusive thoughts, and compulsions to intrusive behaviors, which the affected person experiences as involuntary, senseless, or repugnant. [HPO:curators]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_EAR","SYSTEMATIC_NAME":"M37286","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008771","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008771","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the ear","DESCRIPTION_FULL":"The presence of aplasia or developmental hypoplasia of the ear. [HPO:probinson]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_INNER_EAR","SYSTEMATIC_NAME":"M37287","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008774","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008774","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the inner ear","DESCRIPTION_FULL":"Aplasia or developmental hypoplasia of the inner ear. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_PROSTATE_MORPHOLOGY","SYSTEMATIC_NAME":"M37288","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008775","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008775","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal prostate morphology","DESCRIPTION_FULL":"An abnormality of the prostate. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_RENAL_ARTERY_MORPHOLOGY","SYSTEMATIC_NAME":"M41369","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008776","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008776","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal renal artery morphology","DESCRIPTION_FULL":"Any structural abnormality of the renal artery. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CONGENITAL_BILATERAL_HIP_DISLOCATION","SYSTEMATIC_NAME":"M37289","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008780","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008780","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Congenital bilateral hip dislocation"}
{"STANDARD_NAME":"HP_LIMITED_HIP_MOVEMENT","SYSTEMATIC_NAME":"M37290","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008800","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008800","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Limited hip movement","DESCRIPTION_FULL":"A decreased ability to move the femur at the hip joint associated with a decreased range of motion of the hip. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPOPLASIA_OF_THE_FEMORAL_HEAD","SYSTEMATIC_NAME":"M37291","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008802","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008802","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypoplasia of the femoral head","DESCRIPTION_FULL":"Underdevelopment of the femoral head. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ACETABULAR_DYSPLASIA","SYSTEMATIC_NAME":"M37292","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008807","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008807","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Acetabular dysplasia","DESCRIPTION_FULL":"The presence of developmental dysplasia of the acetabular part of hip bone. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LARGE_ILIAC_WINGS","SYSTEMATIC_NAME":"M37293","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008818","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008818","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Large iliac wings","DESCRIPTION_FULL":"Increased size of the ilium ala. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPOPLASTIC_PELVIS","SYSTEMATIC_NAME":"M37294","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008839","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008839","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypoplastic pelvis","DESCRIPTION_FULL":"Underdevelopment of the bony pelvis. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HIP_OSTEOARTHRITIS","SYSTEMATIC_NAME":"M37295","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008843","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008843","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hip osteoarthritis"}
{"STANDARD_NAME":"HP_SEVERE_INTRAUTERINE_GROWTH_RETARDATION","SYSTEMATIC_NAME":"M37296","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008846","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008846","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Severe intrauterine growth retardation","DESCRIPTION_FULL":"Intrauterine growth retardation that is 4 or more standard deviations below average, corrected for sex and gestational age. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SEVERE_POSTNATAL_GROWTH_RETARDATION","SYSTEMATIC_NAME":"M37298","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008850","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008850","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Severe postnatal growth retardation","DESCRIPTION_FULL":"Severely slow or limited growth after birth, being four standard deviations or more below age- and sex-related norms. [DDD:hfirth]"}
{"STANDARD_NAME":"HP_FAILURE_TO_THRIVE_SECONDARY_TO_RECURRENT_INFECTIONS","SYSTEMATIC_NAME":"M37299","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008866","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008866","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Failure to thrive secondary to recurrent infections","DESCRIPTION_FULL":"Insufficient weight gain or inappropriate weight loss for a child, that is attributed to an endogenous recurrent infections. [https://en.wikipedia.org/wiki/Failure_to_thrive]"}
{"STANDARD_NAME":"HP_FEEDING_DIFFICULTIES_IN_INFANCY","SYSTEMATIC_NAME":"M37300","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008872","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008872","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Feeding difficulties in infancy","DESCRIPTION_FULL":"Impaired feeding performance of an infant as manifested by difficulties such as weak and ineffective sucking, brief bursts of sucking, and falling asleep during sucking. There may be difficulties with chewing or maintaining attention. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DISPROPORTIONATE_SHORT_LIMB_SHORT_STATURE","SYSTEMATIC_NAME":"M37301","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008873","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008873","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Disproportionate short-limb short stature","DESCRIPTION_FULL":"A type of disproportionate short stature characterized by a short limbs but an average-sized trunk. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ADIPOSE_TISSUE_LOSS","SYSTEMATIC_NAME":"M37302","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008887","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008887","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Adipose tissue loss","DESCRIPTION_FULL":"A loss of adipose tissue. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SEVERE_SHORT_LIMB_DWARFISM","SYSTEMATIC_NAME":"M37303","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008890","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008890","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Severe short-limb dwarfism"}
{"STANDARD_NAME":"HP_POSTNATAL_GROWTH_RETARDATION","SYSTEMATIC_NAME":"M37304","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008897","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008897","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Postnatal growth retardation","DESCRIPTION_FULL":"Slow or limited growth after birth. [DDD:hfirth]"}
{"STANDARD_NAME":"HP_RHIZOMELIA","SYSTEMATIC_NAME":"M37305","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008905","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008905","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Rhizomelia","DESCRIPTION_FULL":"Disproportionate shortening of the proximal segment of limbs (i.e. the femur and humerus). [HPO:probinson]"}
{"STANDARD_NAME":"HP_CHILDHOOD_ONSET_TRUNCAL_OBESITY","SYSTEMATIC_NAME":"M37306","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008915","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008915","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Childhood-onset truncal obesity","DESCRIPTION_FULL":"Truncal obesity with onset during childhood, defined as between 2 and 10 years of age. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NEONATAL_SHORT_LIMB_SHORT_STATURE","SYSTEMATIC_NAME":"M37307","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008921","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008921","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neonatal short-limb short stature","DESCRIPTION_FULL":"A type of short-limbed dwarfism that is manifest beginning in the neonatal period. [HPO:probinson]"}
{"STANDARD_NAME":"HP_GENERALIZED_NEONATAL_HYPOTONIA","SYSTEMATIC_NAME":"M37308","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008935","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008935","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Generalized neonatal hypotonia","DESCRIPTION_FULL":"Muscular hypotonia (abnormally low muscle tone) manifesting in the neonatal period and affecting the entire musculature. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MUSCULAR_HYPOTONIA_OF_THE_TRUNK","SYSTEMATIC_NAME":"M37309","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008936","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008936","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Muscular hypotonia of the trunk","DESCRIPTION_FULL":"Muscular hypotonia (abnormally low muscle tone) affecting the musculature of the trunk. [HPO:curators]"}
{"STANDARD_NAME":"HP_GENERALIZED_LYMPHADENOPATHY","SYSTEMATIC_NAME":"M41370","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008940","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008940","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Generalized lymphadenopathy","DESCRIPTION_FULL":"A generalized form of lymphadenopathy. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ACUTE_RHABDOMYOLYSIS","SYSTEMATIC_NAME":"M37310","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008942","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008942","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Acute rhabdomyolysis","DESCRIPTION_FULL":"An acute form of rhabdomyolysis. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DISTAL_LOWER_LIMB_AMYOTROPHY","SYSTEMATIC_NAME":"M37311","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008944","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008944","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Distal lower limb amyotrophy","DESCRIPTION_FULL":"Muscular atrophy of distal leg muscles. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INFANTILE_MUSCULAR_HYPOTONIA","SYSTEMATIC_NAME":"M37312","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008947","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008947","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Infantile muscular hypotonia","DESCRIPTION_FULL":"Muscular hypotonia (abnormally low muscle tone) manifesting in infancy. [HPO:curators]"}
{"STANDARD_NAME":"HP_INTRINSIC_HAND_MUSCLE_ATROPHY","SYSTEMATIC_NAME":"M37313","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008954","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008954","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Intrinsic hand muscle atrophy","DESCRIPTION_FULL":"Atrophy of the intrinsic muscle groups of the hand, comprising the thenar and hypothenar muscles; the interossei muscles; and the lumbrical muscles. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DISTAL_UPPER_LIMB_MUSCLE_WEAKNESS","SYSTEMATIC_NAME":"M37314","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008959","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008959","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Distal upper limb muscle weakness","DESCRIPTION_FULL":"Reduced strength of the distal musculature of the arms. [HPO:probinson]"}
{"STANDARD_NAME":"HP_TIBIALIS_MUSCLE_WEAKNESS","SYSTEMATIC_NAME":"M37315","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008963","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008963","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Tibialis muscle weakness","DESCRIPTION_FULL":"Muscle weakness affecting the tibialis anterior muscle. [HPO:probinson]"}
{"STANDARD_NAME":"HP_EXERCISE_INDUCED_MUSCLE_STIFFNESS","SYSTEMATIC_NAME":"M37316","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008967","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008967","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Exercise-induced muscle stiffness","DESCRIPTION_FULL":"A type of muscle stiffness that occurs following physical exertion. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MUSCLE_HYPERTROPHY_OF_THE_LOWER_EXTREMITIES","SYSTEMATIC_NAME":"M37317","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008968","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008968","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Muscle hypertrophy of the lower extremities","DESCRIPTION_FULL":"Muscle hypertrophy primarily affecting the legs. [HPO:curators]"}
{"STANDARD_NAME":"HP_LEG_MUSCLE_STIFFNESS","SYSTEMATIC_NAME":"M37318","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008969","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008969","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Leg muscle stiffness"}
{"STANDARD_NAME":"HP_PROXIMAL_MUSCLE_WEAKNESS_IN_LOWER_LIMBS","SYSTEMATIC_NAME":"M37319","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008994","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008994","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Proximal muscle weakness in lower limbs","DESCRIPTION_FULL":"A lack of strength of the proximal muscles of the legs. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PROXIMAL_MUSCLE_WEAKNESS_IN_UPPER_LIMBS","SYSTEMATIC_NAME":"M37320","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0008997","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0008997","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Proximal muscle weakness in upper limbs","DESCRIPTION_FULL":"A lack of strength of the proximal muscles of the arms. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPOPLASIA_OF_THE_MUSCULATURE","SYSTEMATIC_NAME":"M37321","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009004","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009004","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypoplasia of the musculature","DESCRIPTION_FULL":"Underdevelopment of the musculature. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_WEAKNESS_OF_THE_INTRINSIC_HAND_MUSCLES","SYSTEMATIC_NAME":"M37322","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009005","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009005","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Weakness of the intrinsic hand muscles"}
{"STANDARD_NAME":"HP_EXERCISE_INDUCED_MUSCLE_FATIGUE","SYSTEMATIC_NAME":"M37323","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009020","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009020","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Exercise-induced muscle fatigue","DESCRIPTION_FULL":"An abnormally increased tendency towards muscle fatigue induced by physical exercise. [HPO:curators]"}
{"STANDARD_NAME":"HP_ABDOMINAL_WALL_MUSCLE_WEAKNESS","SYSTEMATIC_NAME":"M37324","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009023","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009023","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abdominal wall muscle weakness","DESCRIPTION_FULL":"Decreased strength of the abdominal musculature. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INCREASED_CONNECTIVE_TISSUE","SYSTEMATIC_NAME":"M37325","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009025","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009025","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased connective tissue","DESCRIPTION_FULL":"The presence of an abnormally increased amount of connective tissue. [HPO:curators]"}
{"STANDARD_NAME":"HP_FOOT_DORSIFLEXOR_WEAKNESS","SYSTEMATIC_NAME":"M37326","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009027","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009027","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Foot dorsiflexor weakness","DESCRIPTION_FULL":"Weakness of the muscles responsible for dorsiflexion of the foot, that is, of the movement of the toes towards the shin. The foot dorsiflexors include the tibialis anterior, the extensor hallucis longus, the extensor digitorum longus, and the peroneus tertius muscles. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DIFFICULTY_RUNNING","SYSTEMATIC_NAME":"M37328","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009046","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009046","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Difficulty running","DESCRIPTION_FULL":"Reduced ability to run. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PERONEAL_MUSCLE_ATROPHY","SYSTEMATIC_NAME":"M37329","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009049","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009049","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Peroneal muscle atrophy","DESCRIPTION_FULL":"Atrophy of the peroneous muscles, peroneus longus (also known as Fibularis longus), Peroneus brevis (also known as fibularis brevis, and Peroneus tertius (also known as fibularis tertius). [HPO:probinson]"}
{"STANDARD_NAME":"HP_INCREASED_MUSCLE_GLYCOGEN_CONTENT","SYSTEMATIC_NAME":"M37330","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009051","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009051","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased muscle glycogen content","DESCRIPTION_FULL":"An increased amount of glycogen in muscle tissue. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DISTAL_LOWER_LIMB_MUSCLE_WEAKNESS","SYSTEMATIC_NAME":"M37331","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009053","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009053","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Distal lower limb muscle weakness","DESCRIPTION_FULL":"Reduced strength of the distal musculature of the legs. [HPO:probinson]"}
{"STANDARD_NAME":"HP_GENERALIZED_LIMB_MUSCLE_ATROPHY","SYSTEMATIC_NAME":"M37332","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009055","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009055","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Generalized limb muscle atrophy","DESCRIPTION_FULL":"Generalized (unlocalized) atrophy affecting muscles of the limbs in both proximal and distal locations. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INCREASED_MUSCLE_LIPID_CONTENT","SYSTEMATIC_NAME":"M37333","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009058","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009058","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased muscle lipid content","DESCRIPTION_FULL":"An abnormal accumulation of lipids in skeletal muscle. [HPO:probinson, PMID:20691590]"}
{"STANDARD_NAME":"HP_INFANTILE_AXIAL_HYPOTONIA","SYSTEMATIC_NAME":"M37334","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009062","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009062","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Infantile axial hypotonia","DESCRIPTION_FULL":"Muscular hypotonia (abnormally low muscle tone) affecting the musculature of the trunk and with onset in infancy. [HPO:curators]"}
{"STANDARD_NAME":"HP_PROGRESSIVE_DISTAL_MUSCLE_WEAKNESS","SYSTEMATIC_NAME":"M37335","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009063","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009063","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Progressive distal muscle weakness","DESCRIPTION_FULL":"Progressively reduced strength of the distal musculature. [HPO:curators]"}
{"STANDARD_NAME":"HP_GENERALIZED_LIPODYSTROPHY","SYSTEMATIC_NAME":"M37336","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009064","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009064","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Generalized lipodystrophy","DESCRIPTION_FULL":"Generalized degenerative changes of the fat tissue. [HPO:curators]"}
{"STANDARD_NAME":"HP_DECREASED_ACHILLES_REFLEX","SYSTEMATIC_NAME":"M37337","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009072","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009072","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased Achilles reflex","DESCRIPTION_FULL":"Decreased intensity of the Achilles reflex (also known as the ankle jerk reflex), which can be elicited by tapping the tendon is tapped while the foot is dorsiflexed. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PROGRESSIVE_PROXIMAL_MUSCLE_WEAKNESS","SYSTEMATIC_NAME":"M37338","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009073","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009073","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Progressive proximal muscle weakness","DESCRIPTION_FULL":"Lack of strength of the proximal muscles that becomes progressively more severe. [HPO:probinson]"}
{"STANDARD_NAME":"HP_WEAKNESS_OF_LONG_FINGER_EXTENSOR_MUSCLES","SYSTEMATIC_NAME":"M37339","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009077","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009077","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Weakness of long finger extensor muscles"}
{"STANDARD_NAME":"HP_ALVEOLAR_RIDGE_OVERGROWTH","SYSTEMATIC_NAME":"M37340","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009085","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009085","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Alveolar ridge overgrowth","DESCRIPTION_FULL":"Increased width of the alveolar ridges. [PMID:19125428]"}
{"STANDARD_NAME":"HP_SPEECH_ARTICULATION_DIFFICULTIES","SYSTEMATIC_NAME":"M37341","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009088","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009088","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Speech articulation difficulties","DESCRIPTION_FULL":"Impairment in the physical production of speech sounds. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CHRONIC_ORAL_CANDIDIASIS","SYSTEMATIC_NAME":"M37342","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009098","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009098","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Chronic oral candidiasis","DESCRIPTION_FULL":"Chronic accumulation and overgrowth of the fungus Candida albicans on the mucous membranes of the mouth, generally manifested as associated with creamy white lesions on the tongue or inner cheeks, occasionally spreading to the gums, tonsils, palate or oropharynx. []"}
{"STANDARD_NAME":"HP_MEDIAN_CLEFT_PALATE","SYSTEMATIC_NAME":"M37343","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009099","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009099","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Median cleft palate","DESCRIPTION_FULL":"Cleft palate of the midline of the palate. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ANTERIOR_OPEN_BITE_MALOCCLUSION","SYSTEMATIC_NAME":"M37344","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009102","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009102","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Anterior open-bite malocclusion","DESCRIPTION_FULL":"Anterior open bite is a malocclusion characterized by a gap between the anterior teeth (incisors), that is, by a deficiency in the normal vertical overlap between antagonist incisal edges when the posterior teeth are in occlusion. [HPO:ibailleulforestier, PMID:27615261]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_INVOLVING_THE_PELVIS","SYSTEMATIC_NAME":"M37345","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009103","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009103","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia involving the pelvis"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_PUBIC_BONE","SYSTEMATIC_NAME":"M37346","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009104","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009104","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the pubic bone","DESCRIPTION_FULL":"Absence or underdevelopment of the pubic bone. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_OSSIFICATION_OF_THE_PUBIC_BONE","SYSTEMATIC_NAME":"M37347","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009105","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009105","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal ossification of the pubic bone","DESCRIPTION_FULL":"Abnormal ossification (bone tissue formation) affecting the pubic bone, also known as the pubis. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_PELVIS_BONE_OSSIFICATION","SYSTEMATIC_NAME":"M37348","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009106","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009106","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal pelvis bone ossification","DESCRIPTION_FULL":"An abnormality of the formation and mineralization of any bone of the bony pelvis. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_OSSIFICATION_INVOLVING_THE_FEMORAL_HEAD_AND_NECK","SYSTEMATIC_NAME":"M37349","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009107","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009107","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal ossification involving the femoral head and neck"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_INVOLVING_THE_FEMORAL_HEAD_AND_NECK","SYSTEMATIC_NAME":"M37350","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009108","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009108","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia involving the femoral head and neck"}
{"STANDARD_NAME":"HP_DIAPHRAGMATIC_EVENTRATION","SYSTEMATIC_NAME":"M37351","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009110","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009110","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Diaphragmatic eventration","DESCRIPTION_FULL":"A congenital failure of muscular development of part or all of one or both hemidiaphragms, resulting in superior displacement of abdominal viscera and altered lung development. [HPO:curators]"}
{"STANDARD_NAME":"HP_DIAPHRAGMATIC_WEAKNESS","SYSTEMATIC_NAME":"M37352","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009113","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009113","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Diaphragmatic weakness","DESCRIPTION_FULL":"A decrease in the strength of the diaphragm. [HPO:probinson, PMID:2509822]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_INVOLVING_THE_SKELETON","SYSTEMATIC_NAME":"M37353","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009115","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009115","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/hypoplasia involving the skeleton","DESCRIPTION_FULL":"Absence (due to failure to form) or underdevelopment of one or more components of the skeleton. [HPO:probinson]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_INVOLVING_THE_SINUSES","SYSTEMATIC_NAME":"M37354","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009120","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009120","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia involving the sinuses","DESCRIPTION_FULL":"Absence or underdevelopment of a cranial sinus or sinuses. [HPO:curators]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_AFFECTING_BONES_OF_THE_AXIAL_SKELETON","SYSTEMATIC_NAME":"M37355","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009122","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009122","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/hypoplasia affecting bones of the axial skeleton","DESCRIPTION_FULL":"Absence (due to failure to form) or underdevelopment of bones of the axial skeleton. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MIXED_HYPO_AND_HYPERPIGMENTATION_OF_THE_SKIN","SYSTEMATIC_NAME":"M37356","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009123","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009123","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Mixed hypo- and hyperpigmentation of the skin"}
{"STANDARD_NAME":"HP_ABNORMAL_ADIPOSE_TISSUE_MORPHOLOGY","SYSTEMATIC_NAME":"M37357","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009124","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009124","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal adipose tissue morphology","DESCRIPTION_FULL":"An abnormality of adipose tissue, which is loose connective tissue composed of adipocytes. [HPO:curators]"}
{"STANDARD_NAME":"HP_LIPODYSTROPHY","SYSTEMATIC_NAME":"M37358","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009125","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009125","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Lipodystrophy","DESCRIPTION_FULL":"Degenerative changes of the fat tissue. [HPO:curators]"}
{"STANDARD_NAME":"HP_INCREASED_ADIPOSE_TISSUE","SYSTEMATIC_NAME":"M37359","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009126","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009126","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased adipose tissue","DESCRIPTION_FULL":"An increase in adipose tissue mass by hyperplastic growth (increase in the number of adipocytes) or by hypertrophic growth (increase in the size of adipocytes occurring primarily by lipid accumulation within the cell). [HPO:curators]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_MUSCULATURE_OF_THE_LIMBS","SYSTEMATIC_NAME":"M37360","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009127","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009127","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the musculature of the limbs"}
{"STANDARD_NAME":"HP_UPPER_LIMB_AMYOTROPHY","SYSTEMATIC_NAME":"M37361","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009129","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009129","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Upper limb amyotrophy","DESCRIPTION_FULL":"Muscular atrophy involving the muscles of the upper limbs. [HPO:probinson]"}
{"STANDARD_NAME":"HP_OSTEOLYSIS_INVOLVING_BONES_OF_THE_FEET","SYSTEMATIC_NAME":"M37363","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009134","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009134","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Osteolysis involving bones of the feet"}
{"STANDARD_NAME":"HP_DUPLICATION_INVOLVING_BONES_OF_THE_FEET","SYSTEMATIC_NAME":"M37364","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009136","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009136","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Duplication involving bones of the feet"}
{"STANDARD_NAME":"HP_SYNOSTOSIS_INVOLVING_BONES_OF_THE_LOWER_LIMBS","SYSTEMATIC_NAME":"M37365","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009138","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009138","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Synostosis involving bones of the lower limbs","DESCRIPTION_FULL":"An abnormal union between bones or parts of bones lower limbs. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_DEPLETION_OF_MITOCHONDRIAL_DNA_IN_MUSCLE_TISSUE","SYSTEMATIC_NAME":"M37366","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009141","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009141","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Depletion of mitochondrial DNA in muscle tissue"}
{"STANDARD_NAME":"HP_SUPERNUMERARY_BONES_OF_THE_AXIAL_SKELETON","SYSTEMATIC_NAME":"M37367","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009144","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009144","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Supernumerary bones of the axial skeleton"}
{"STANDARD_NAME":"HP_ABNORMAL_CEREBRAL_ARTERY_MORPHOLOGY","SYSTEMATIC_NAME":"M37368","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009145","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009145","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal cerebral artery morphology","DESCRIPTION_FULL":"Any structural anomaly of a cerebral artery. The cerebral arteries comprise three main pairs of arteries and their branches, which supply the cerebrum of the brain. These are the anterior cerebral artery, the middle cerebral artery, and the posterior cerebral artery. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_CALCIFICATION_OF_THE_CARPAL_BONES","SYSTEMATIC_NAME":"M41371","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009164","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009164","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal calcification of the carpal bones"}
{"STANDARD_NAME":"HP_JOINT_CONTRACTURE_OF_THE_5TH_FINGER","SYSTEMATIC_NAME":"M37369","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009183","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009183","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Joint contracture of the 5th finger","DESCRIPTION_FULL":"Chronic loss of joint motion in the 5th finger due to structural changes in non-bony tissue. The term camptodactyly of the 5th finger is used if the distal and/or proximal interphalangeal joints are affected. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_PSEUDOEPIPHYSES_OF_THE_METACARPALS","SYSTEMATIC_NAME":"M37370","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009193","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009193","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pseudoepiphyses of the metacarpals","DESCRIPTION_FULL":"A pseudoepiphysis is a secondary ossification center distinct from the normal epiphysis. The normal metacarpal epiphyses are located at the distal ends of the metacarpal bones. Accessory epiphyses (which are also known as pseudoepiphyses) can also occasionally be observed at the proximal ends of the metacarpals, usually involving the 2nd metacarpal bone. [HPO:doelkens]"}
{"STANDARD_NAME":"HP_DEVIATION_OF_THE_4TH_FINGER","SYSTEMATIC_NAME":"M41372","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009273","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009273","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Deviation of the 4th finger","DESCRIPTION_FULL":"Displacement of the 4th finger from its normal position. [HPO:curators]"}
{"STANDARD_NAME":"HP_ABNORMAL_3RD_FINGER_PHALANX_MORPHOLOGY","SYSTEMATIC_NAME":"M37371","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009316","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009316","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal 3rd finger phalanx morphology","DESCRIPTION_FULL":"Abnormality of the phalanges of the 3rd (middle) finger. [HPO:curators]"}
{"STANDARD_NAME":"HP_DEVIATION_OF_THE_3RD_FINGER","SYSTEMATIC_NAME":"M37372","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009317","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009317","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Deviation of the 3rd finger","DESCRIPTION_FULL":"Displacement of the 3rd finger from its normal position. [HPO:curators]"}
{"STANDARD_NAME":"HP_APLASIA_OF_THE_FINGERS","SYSTEMATIC_NAME":"M37373","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009380","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009380","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia of the fingers","DESCRIPTION_FULL":"Aplasia of one or more fingers. [HPO:curators]"}
{"STANDARD_NAME":"HP_ULNAR_DEVIATION_OF_THE_2ND_FINGER","SYSTEMATIC_NAME":"M37374","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009464","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009464","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ulnar deviation of the 2nd finger","DESCRIPTION_FULL":"Displacement of the 2nd (index) finger towards the ulnar side. [HPO:curators]"}
{"STANDARD_NAME":"HP_ULNAR_DEVIATION_OF_FINGER","SYSTEMATIC_NAME":"M37375","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009465","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009465","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ulnar deviation of finger","DESCRIPTION_FULL":"Bending or curvature of a finger toward the ulnar side (i.e., away from the thumb). The deviation is at the metacarpal-phalangeal joint, and this finding is distinct from clinodactyly. [HPO:probinson, PMID:19125433]"}
{"STANDARD_NAME":"HP_RADIAL_DEVIATION_OF_THE_2ND_FINGER","SYSTEMATIC_NAME":"M37376","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009467","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009467","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Radial deviation of the 2nd finger","DESCRIPTION_FULL":"Displacement of the 2nd finger towards the radial side. [HPO:curators]"}
{"STANDARD_NAME":"HP_DEVIATION_OF_THE_2ND_FINGER","SYSTEMATIC_NAME":"M37377","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009468","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009468","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Deviation of the 2nd finger","DESCRIPTION_FULL":"Displacement of the 2nd finger from its normal position. [HPO:curators]"}
{"STANDARD_NAME":"HP_JOINT_CONTRACTURE_OF_THE_HAND","SYSTEMATIC_NAME":"M41373","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009473","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009473","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Joint contracture of the hand","DESCRIPTION_FULL":"Contractures of one ore more joints of the hands meaning chronic loss of joint motion due to structural changes in non-bony tissue. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_DEVIATION_OF_THE_HAND_OR_OF_FINGERS_OF_THE_HAND","SYSTEMATIC_NAME":"M37378","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009484","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009484","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Deviation of the hand or of fingers of the hand","DESCRIPTION_FULL":"Displacement of the hand or of fingers of the hand from their normal position. [HPO:curators]"}
{"STANDARD_NAME":"HP_RADIAL_DEVIATION_OF_THE_HAND_OR_OF_FINGERS_OF_THE_HAND","SYSTEMATIC_NAME":"M37379","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009485","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009485","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Radial deviation of the hand or of fingers of the hand"}
{"STANDARD_NAME":"HP_RADIAL_DEVIATION_OF_THE_HAND","SYSTEMATIC_NAME":"M37380","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009486","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009486","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Radial deviation of the hand","DESCRIPTION_FULL":"An abnormal position of the hand in which the wrist is bent toward the radius (i.e., toward the thumb). [HPO:probinson]"}
{"STANDARD_NAME":"HP_ULNAR_DEVIATION_OF_THE_HAND","SYSTEMATIC_NAME":"M37381","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009487","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009487","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ulnar deviation of the hand","DESCRIPTION_FULL":"Divergence of the longitudinal axis of the hand at the wrist in a posterior (ulnar) direction (i.e., towards the little finger). [HPO:probinson, PMID:19125433]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_PHALANGES_OF_THE_2ND_FINGER","SYSTEMATIC_NAME":"M37382","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009541","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009541","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the phalanges of the 2nd finger","DESCRIPTION_FULL":"Abnormality of the phalanges of the 2nd (index) finger. [HPO:curators]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_MIDDLE_PHALANX_OF_THE_2ND_FINGER","SYSTEMATIC_NAME":"M37383","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009543","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009543","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the middle phalanx of the 2nd finger"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_PHALANGES_OF_THE_2ND_FINGER","SYSTEMATIC_NAME":"M37384","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009552","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009552","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the phalanges of the 2nd finger"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_HAIRLINE","SYSTEMATIC_NAME":"M41374","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009553","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009553","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the hairline","DESCRIPTION_FULL":"The hairline refers to the outline of hair of the head. An abnormality of the hairline can refer to an unusually low or high border between areas of the scalp with and without hair or to abnormal projections of scalp hair. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SHORT_MIDDLE_PHALANX_OF_THE_2ND_FINGER","SYSTEMATIC_NAME":"M41375","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009577","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009577","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Short middle phalanx of the 2nd finger","DESCRIPTION_FULL":"Hypoplasia (congenital reduction in size) of the middle phalanx of the second finger, also known as the index finger. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_VESTIBULOCOCHLEAR_NERVE","SYSTEMATIC_NAME":"M37385","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009591","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009591","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the vestibulocochlear nerve","DESCRIPTION_FULL":"Abnormality of the vestibulocochlear nerve, the eighth cranial nerve, which is involved in transmitting sound and equilibrium information from the inner ear to the brain. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ASTROCYTOMA","SYSTEMATIC_NAME":"M37386","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009592","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009592","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Astrocytoma","DESCRIPTION_FULL":"Astrocytoma is a neoplasm of the central nervous system derived from astrocytes. Astrocytes are a type of glial cell, and thus astrocytoma is a subtype of glioma. [HPO:curators]"}
{"STANDARD_NAME":"HP_RETINAL_HAMARTOMA","SYSTEMATIC_NAME":"M37387","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009594","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009594","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Retinal hamartoma","DESCRIPTION_FULL":"A hamartoma (a benign, focal malformation consisting of a disorganized mixture of cells and tissues) of the retina. [HPO:probinson]"}
{"STANDARD_NAME":"HP_FLEXION_CONTRACTURE_OF_THUMB","SYSTEMATIC_NAME":"M41376","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009600","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009600","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Flexion contracture of thumb","DESCRIPTION_FULL":"Chronic loss of joint motion in the thumb due to structural changes in non-bony tissue. The term camptodactyly is used if the distal and/or proximal interphalangeal joints are affected. [HPO:probinson]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_THUMB","SYSTEMATIC_NAME":"M37388","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009601","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009601","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the thumb","DESCRIPTION_FULL":"Hypoplastic/small or absent thumb. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DEVIATION_OF_THE_THUMB","SYSTEMATIC_NAME":"M37389","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009603","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009603","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Deviation of the thumb","DESCRIPTION_FULL":"Displacement of the thumb from its normal position. [HPO:curators]"}
{"STANDARD_NAME":"HP_DUPLICATION_OF_THE_DISTAL_PHALANX_OF_THE_THUMB","SYSTEMATIC_NAME":"M37390","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009612","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009612","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Duplication of the distal phalanx of the thumb","DESCRIPTION_FULL":"Complete or partial duplication of the distal phalanx of the thumb. Depending on the severity, the appearance on x-ray can vary from a notched phalanx (the duplicated bone is almost completely fused with the phalanx), a partially fused appearance of the two bones, or two separate bones appearing side to side. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_DISTAL_PHALANX_OF_THE_THUMB","SYSTEMATIC_NAME":"M37391","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009617","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009617","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the distal phalanx of the thumb","DESCRIPTION_FULL":"Any anomaly of the distal phalanx of thumb. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_PROXIMAL_PHALANX_OF_THE_THUMB","SYSTEMATIC_NAME":"M37392","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009618","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009618","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the proximal phalanx of the thumb","DESCRIPTION_FULL":"An anomaly of the shape or form of the proximal phalanx of the thumb. [HPO:curators]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_PROXIMAL_PHALANX_OF_THE_THUMB","SYSTEMATIC_NAME":"M37393","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009629","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009629","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the proximal phalanx of the thumb","DESCRIPTION_FULL":"This term applies if the proximal phalanx of the thumb is either small/hypoplastic or absent. In contrast to the proximal phalanges of the digits 2-5, the proximal phalanx of the thumb is embryologically equivalent to the middle phalanges of the other digits, whereas the first metacarpal is embryologically of phalangeal origin and as such equivalent to the proximal phalanges of the other digits. [HPO:curators]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_DISTAL_PHALANX_OF_THE_THUMB","SYSTEMATIC_NAME":"M37394","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009641","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009641","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the distal phalanx of the thumb"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_PHALANGES_OF_THE_THUMB","SYSTEMATIC_NAME":"M37395","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009658","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009658","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the phalanges of the thumb"}
{"STANDARD_NAME":"HP_PARTIAL_ABSENCE_OF_THUMB","SYSTEMATIC_NAME":"M37396","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009659","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009659","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Partial absence of thumb","DESCRIPTION_FULL":"The absence of a phalangeal segment of a thumb. [PMID:probinson]"}
{"STANDARD_NAME":"HP_SHORT_PHALANX_OF_THE_THUMB","SYSTEMATIC_NAME":"M37397","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009660","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009660","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Short phalanx of the thumb","DESCRIPTION_FULL":"Hypoplastic (short) thumb phalanx. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CARPAL_SYNOSTOSIS","SYSTEMATIC_NAME":"M37399","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009702","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009702","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Carpal synostosis","DESCRIPTION_FULL":"Synostosis (bony fusion) involving one or more bones of the carpus (scaphoid, lunate, triquetrum, trapezium, trapezoid, capitate, hamate, pisiform). [HPO:probinson]"}
{"STANDARD_NAME":"HP_CHILBLAINS","SYSTEMATIC_NAME":"M37400","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009710","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009710","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Chilblains","DESCRIPTION_FULL":"Chilblains, also called perniosis, are an inflammatory skin condition related to an abnormal vascular response to the cold. We are unaware of a reliable estimate of incidence. It typically presents as tender, pruritic red or bluish lesions located symmetrically on the dorsal aspect of the fingers, toes, ears and nose. Less commonly, reports describe involvement of the thighs and buttocks. The lesions present hours after exposure to cold and usually resolve spontaneously in one to three weeks. [HPO:probinson, PMID:1832531, PMID:22025653]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_EPIDIDYMIS","SYSTEMATIC_NAME":"M37401","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009714","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009714","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the epididymis","DESCRIPTION_FULL":"An abnormality of the epididymis. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PAPILLARY_CYSTADENOMA_OF_THE_EPIDIDYMIS","SYSTEMATIC_NAME":"M37402","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009715","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009715","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Papillary cystadenoma of the epididymis","DESCRIPTION_FULL":"A cystadenoma, an epithelial tumor, that originates within the head of the epididymis. [HPO:probinson, PMID:24441657]"}
{"STANDARD_NAME":"HP_ADENOMA_SEBACEUM","SYSTEMATIC_NAME":"M37403","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009720","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009720","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Adenoma sebaceum","DESCRIPTION_FULL":"The presence of a sebaceous adenoma with origin in the sebum secreting cells of the skin. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SHAGREEN_PATCH","SYSTEMATIC_NAME":"M41377","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009721","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009721","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Shagreen patch","DESCRIPTION_FULL":"A plaque representing a connective-tissue nevus. Connective tissue naevi are uncommon skin lesions that occur when the deeper layers of the skin do not develop correctly or the components of these layers occur in the wrong proportion. Shagreen patches are oval-shaped and nevoid, skin-colored or occasionally pigmented, smooth or crinkled, The word shagreen refers to a type of roughened untanned leather. [HPO:curators, PMID:10695583]"}
{"STANDARD_NAME":"HP_DENTAL_ENAMEL_PITS","SYSTEMATIC_NAME":"M37404","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009722","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009722","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Dental enamel pits","DESCRIPTION_FULL":"The presence of small depressions in the dental enamel. [HPO:curators]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_SUBUNGUAL_REGION","SYSTEMATIC_NAME":"M37405","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009723","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009723","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the subungual region","DESCRIPTION_FULL":"A lesion located beneath a fingernail or toenail. [HPO:curators]"}
{"STANDARD_NAME":"HP_BLADDER_NEOPLASM","SYSTEMATIC_NAME":"M37406","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009725","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009725","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Bladder neoplasm","DESCRIPTION_FULL":"The presence of a neoplasm of the urinary bladder. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NEOPLASM_OF_STRIATED_MUSCLE","SYSTEMATIC_NAME":"M37407","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009728","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009728","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neoplasm of striated muscle","DESCRIPTION_FULL":"A benign or malignant neoplasm (tumour) originating in striated muscle, either skeletal muscle or cardiac muscle. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_CARDIAC_RHABDOMYOMA","SYSTEMATIC_NAME":"M37408","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009729","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009729","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cardiac rhabdomyoma","DESCRIPTION_FULL":"A benign tumor of cardiac striated muscle. [HPO:curators]"}
{"STANDARD_NAME":"HP_CEREBRAL_HAMARTOMA","SYSTEMATIC_NAME":"M37409","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009731","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009731","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cerebral hamartoma","DESCRIPTION_FULL":"The presence of a hamartoma of the cerebrum. [HPO:probinson]"}
{"STANDARD_NAME":"HP_GLIOMA","SYSTEMATIC_NAME":"M37410","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009733","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009733","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Glioma","DESCRIPTION_FULL":"The presence of a glioma, which is a neoplasm of the central nervous system originating from a glial cell (astrocytes or oligodendrocytes). [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_ANTIHELIX","SYSTEMATIC_NAME":"M37411","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009738","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009738","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the antihelix","DESCRIPTION_FULL":"An abnormality of the antihelix. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LARGE_EARLOBE","SYSTEMATIC_NAME":"M37412","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009748","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009748","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Large earlobe","DESCRIPTION_FULL":"Increased volume of the earlobe, that is, abnormally prominent ear lobules. [HPO:probinson, PMID:19152421]"}
{"STANDARD_NAME":"HP_APLASIA_OF_THE_PECTORALIS_MAJOR_MUSCLE","SYSTEMATIC_NAME":"M37413","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009751","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009751","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia of the pectoralis major muscle","DESCRIPTION_FULL":"Absence of the pectoralis major muscle. [HPO:curators]"}
{"STANDARD_NAME":"HP_ANKYLOBLEPHARON","SYSTEMATIC_NAME":"M37414","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009755","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009755","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ankyloblepharon","DESCRIPTION_FULL":"Partial fusion of the upper and lower eyelid margins by single or multiple bands of tissue. [PMID:18125427]"}
{"STANDARD_NAME":"HP_POPLITEAL_PTERYGIUM","SYSTEMATIC_NAME":"M37415","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009756","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009756","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Popliteal pterygium","DESCRIPTION_FULL":"A pterygium (or pterygia) occurring in the popliteal region (the back of the knee). [HPO:probinson]"}
{"STANDARD_NAME":"HP_LIMB_PAIN","SYSTEMATIC_NAME":"M37416","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009763","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009763","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Limb pain","DESCRIPTION_FULL":"Chronic pain in the limbs with no clear focal etiology. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LOW_HANGING_COLUMELLA","SYSTEMATIC_NAME":"M37417","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009765","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009765","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Low hanging columella","DESCRIPTION_FULL":"Columella extending inferior to the level of the nasal base, when viewed from the side. [PMID:19152422]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_PHALANGES_OF_THE_HAND","SYSTEMATIC_NAME":"M37418","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009767","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009767","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the phalanges of the hand","DESCRIPTION_FULL":"Small or missing phalangeal bones of the fingers of the hand. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SYMPHALANGISM_AFFECTING_THE_PHALANGES_OF_THE_HAND","SYSTEMATIC_NAME":"M37420","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009773","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009773","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Symphalangism affecting the phalanges of the hand","DESCRIPTION_FULL":"Fusion of two or more phalangeal bones of the hand. [HPO:curators]"}
{"STANDARD_NAME":"HP_TRIANGULAR_SHAPED_PHALANGES_OF_THE_HAND","SYSTEMATIC_NAME":"M37421","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009774","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009774","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Triangular shaped phalanges of the hand"}
{"STANDARD_NAME":"HP_ABSENT_THUMB","SYSTEMATIC_NAME":"M37422","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009777","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009777","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Absent thumb","DESCRIPTION_FULL":"Absent thumb, i.e., the absence of both phalanges of a thumb and the associated soft tissues. [HPO:probinson, PMID:19125433]"}
{"STANDARD_NAME":"HP_SHORT_THUMB","SYSTEMATIC_NAME":"M37423","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009778","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009778","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Short thumb","DESCRIPTION_FULL":"Hypoplasia (congenital reduction in size) of the thumb. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PERIANAL_ABSCESS","SYSTEMATIC_NAME":"M41378","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009789","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009789","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Perianal abscess","DESCRIPTION_FULL":"The presence of an abscess located around the anus. [HPO:curators]"}
{"STANDARD_NAME":"HP_TERATOMA","SYSTEMATIC_NAME":"M37424","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009792","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009792","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Teratoma","DESCRIPTION_FULL":"The presence of a teratoma. [HPO:probinson]"}
{"STANDARD_NAME":"HP_BRANCHIAL_ANOMALY","SYSTEMATIC_NAME":"M37425","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009794","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009794","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Branchial anomaly","DESCRIPTION_FULL":"Congenital developmental defect arising from the primitive branchial apparatus. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_BRANCHIAL_FISTULA","SYSTEMATIC_NAME":"M37426","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009795","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009795","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Branchial fistula","DESCRIPTION_FULL":"A congenital fistula in the neck resulting from incomplete closure of a branchial cleft. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_BRANCHIAL_CYST","SYSTEMATIC_NAME":"M37427","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009796","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009796","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Branchial cyst","DESCRIPTION_FULL":"A branchial cyst is a remnant of embryonic development resulting from a failure of obliteration of a branchial cleft and consists of a subcutaneous cystic mass. Cysts are located anterior or posterior to the ear or in the submandibular region. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_SUPERNUMERARY_SPLEENS","SYSTEMATIC_NAME":"M37428","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009799","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009799","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Supernumerary spleens","DESCRIPTION_FULL":"The presence of two or more accessory spleens. [HPO:curators]"}
{"STANDARD_NAME":"HP_MATERNAL_DIABETES","SYSTEMATIC_NAME":"M37429","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009800","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009800","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Maternal diabetes","DESCRIPTION_FULL":"Maternal diabetes can either be a gestational, mostly type 2 diabetes, or a type 1 diabetes. Essential is the resulting maternal hyperglycemia as a non-specific teratogen, imposing the same risk of congenital malformations to pregnant women with both type 1 and type2 diabetes. [HPO:probinson]"}
{"STANDARD_NAME":"HP_APLASIA_OF_THE_PHALANGES_OF_THE_HAND","SYSTEMATIC_NAME":"M37430","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009802","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009802","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia of the phalanges of the hand","DESCRIPTION_FULL":"Absence of one or more of the phalanges of the hand. [HPO:curators]"}
{"STANDARD_NAME":"HP_NEPHROGENIC_DIABETES_INSIPIDUS","SYSTEMATIC_NAME":"M37431","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009806","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009806","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Nephrogenic diabetes insipidus","DESCRIPTION_FULL":"A form of diabetes insipidus caused by failure of the kidneys to respond to vasopressin (AVP). [HPO:curators]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_UPPER_LIMB_METAPHYSIS","SYSTEMATIC_NAME":"M37432","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009809","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009809","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of upper limb metaphysis","DESCRIPTION_FULL":"An anomaly of one or more metaphyses of the arms. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_UPPER_LIMB_JOINT","SYSTEMATIC_NAME":"M37433","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009810","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009810","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of upper limb joint"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_ELBOW","SYSTEMATIC_NAME":"M37434","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009811","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009811","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the elbow","DESCRIPTION_FULL":"An anomaly of the joint that connects the upper and the lower arm. [HPO:probinson]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_EXTREMITIES","SYSTEMATIC_NAME":"M37435","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009815","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009815","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/hypoplasia of the extremities","DESCRIPTION_FULL":"Absence (due to failure to form) or underdevelopment of the extremities. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LOWER_LIMB_UNDERGROWTH","SYSTEMATIC_NAME":"M37436","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009816","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009816","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Lower limb undergrowth","DESCRIPTION_FULL":"Leg shortening because of underdevelopment of one or more bones of the lower extremity. [HPO:probinson]"}
{"STANDARD_NAME":"HP_APLASIA_INVOLVING_BONES_OF_THE_LOWER_LIMBS","SYSTEMATIC_NAME":"M37437","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009817","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009817","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia involving bones of the lower limbs"}
{"STANDARD_NAME":"HP_UPPER_LIMB_UNDERGROWTH","SYSTEMATIC_NAME":"M37438","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009824","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009824","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Upper limb undergrowth","DESCRIPTION_FULL":"Arm shortening because of underdevelopment of one or more bones of the upper extremity. [HPO:probinson]"}
{"STANDARD_NAME":"HP_APLASIA_INVOLVING_BONES_OF_THE_EXTREMITIES","SYSTEMATIC_NAME":"M37439","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009825","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009825","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia involving bones of the extremities"}
{"STANDARD_NAME":"HP_LIMB_UNDERGROWTH","SYSTEMATIC_NAME":"M37440","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009826","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009826","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Limb undergrowth","DESCRIPTION_FULL":"Limb shortening because of underdevelopment of one or more bones of the extremities. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PHOCOMELIA","SYSTEMATIC_NAME":"M37441","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009829","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009829","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Phocomelia","DESCRIPTION_FULL":"Missing or malformed long bones of the extremities with the distal parts (such as hands and/or feet) connected to the variably shortened or even absent extremity, leading to a flipper-like appearance, as opposed to other forms of limb malformations were either the hole limb is missing (such as amelia), or the distal part of a limb is absent (peromelia). [HPO:probinson]"}
{"STANDARD_NAME":"HP_PERIPHERAL_NEUROPATHY","SYSTEMATIC_NAME":"M37442","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009830","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009830","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Peripheral neuropathy","DESCRIPTION_FULL":"Peripheral neuropathy is a general term for any disorder of the peripheral nervous system. The main clinical features used to classify peripheral neuropathy are distribution, type (mainly demyelinating versus mainly axonal), duration, and course. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_ABNORMAL_DISTAL_PHALANX_MORPHOLOGY_OF_FINGER","SYSTEMATIC_NAME":"M37443","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009832","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009832","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal distal phalanx morphology of finger","DESCRIPTION_FULL":"Any anomaly of distal phalanx of finger. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_MIDDLE_PHALANX_MORPHOLOGY_OF_THE_HAND","SYSTEMATIC_NAME":"M37444","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009833","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009833","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal middle phalanx morphology of the hand","DESCRIPTION_FULL":"An anomaly of middle phalanx of finger. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_PROXIMAL_PHALANX_MORPHOLOGY_OF_THE_HAND","SYSTEMATIC_NAME":"M37445","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009834","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009834","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal proximal phalanx morphology of the hand"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_DISTAL_PHALANGES_OF_THE_HAND","SYSTEMATIC_NAME":"M37446","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009835","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009835","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the distal phalanges of the hand","DESCRIPTION_FULL":"Absence or underdevelopment of the distal phalanges. [HPO:curators]"}
{"STANDARD_NAME":"HP_BROAD_DISTAL_PHALANX_OF_FINGER","SYSTEMATIC_NAME":"M37447","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009836","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009836","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Broad distal phalanx of finger","DESCRIPTION_FULL":"Abnormally wide (broad) distal phalanx of finger. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_SYMPHALANGISM_OF_MIDDLE_PHALANX_OF_FINGER","SYSTEMATIC_NAME":"M41379","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009849","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009849","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Symphalangism of middle phalanx of finger","DESCRIPTION_FULL":"Fusion of a middle phalanx of a finger with another bone. [HPO:probinson]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_PROXIMAL_PHALANGES_OF_THE_HAND","SYSTEMATIC_NAME":"M37448","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009851","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009851","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the proximal phalanges of the hand"}
{"STANDARD_NAME":"HP_SIMPLIFIED_GYRAL_PATTERN","SYSTEMATIC_NAME":"M37449","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009879","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009879","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Simplified gyral pattern","DESCRIPTION_FULL":"An abnormality of the cerebral cortex with fewer gyri but with normal cortical thickness. This pattern is usually often associated with congenital microcephaly. [COST:neuromig, HPO:probinson, PMID:22427329]"}
{"STANDARD_NAME":"HP_DUPLICATION_OF_THE_DISTAL_PHALANX_OF_HAND","SYSTEMATIC_NAME":"M37450","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009883","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009883","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Duplication of the distal phalanx of hand","DESCRIPTION_FULL":"This term applies if one or more of the distal phalanges of the hand are either partially duplicated, depending on severity leading to a broad or bifid appearance of the phalanges, or completely duplicated. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_TRICHORRHEXIS_NODOSA","SYSTEMATIC_NAME":"M37452","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009886","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009886","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Trichorrhexis nodosa","DESCRIPTION_FULL":"Trichorrhexis nodosa is the formation of nodes along the hair shaft through which breakage readily occurs. It is thus a focal defect in the hair fiber that is characterized by thickening or weak points (nodes) that cause the hair to break off easily. The result is defective, abnormally fragile hair. [HPO:curators]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_HAIR_PIGMENTATION","SYSTEMATIC_NAME":"M37453","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009887","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009887","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of hair pigmentation","DESCRIPTION_FULL":"An abnormality of hair pigmentation (color). [HPO:curators]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_SECONDARY_SEXUAL_HAIR","SYSTEMATIC_NAME":"M37454","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009888","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009888","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of secondary sexual hair","DESCRIPTION_FULL":"Abnormality of the growth of secondary sexual hair, which normally ensues during puberty. In males, secondary sexual hair usually comprises body hair, including underarm, abdominal, chest, and pubic hair. In females, secondary sexual hair usually comprises a lesser degree of body hair, most prominently underarm and pubic hair. [HPO:curators]"}
{"STANDARD_NAME":"HP_LOCALIZED_HIRSUTISM","SYSTEMATIC_NAME":"M37455","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009889","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009889","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Localized hirsutism","DESCRIPTION_FULL":"Abnormally increased hair growth with a localized distribution. [HPO:curators]"}
{"STANDARD_NAME":"HP_HIGH_ANTERIOR_HAIRLINE","SYSTEMATIC_NAME":"M37456","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009890","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009890","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"High anterior hairline","DESCRIPTION_FULL":"Distance between the hairline (trichion) and the glabella (the most prominent point on the frontal bone above the root of the nose), in the midline, more than two SD above the mean. Alternatively, an apparently increased distance between the hairline and the glabella. [PMID:19125436]"}
{"STANDARD_NAME":"HP_UNDERDEVELOPED_SUPRAORBITAL_RIDGES","SYSTEMATIC_NAME":"M37457","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009891","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009891","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Underdeveloped supraorbital ridges","DESCRIPTION_FULL":"Flatness of the supraorbital portion of the frontal bones. [HPO:curators, PMID:19125436]"}
{"STANDARD_NAME":"HP_ANOTIA","SYSTEMATIC_NAME":"M37458","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009892","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009892","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Anotia","DESCRIPTION_FULL":"Complete absence of any auricular structures. [HPO:probinson, PMID:19125421]"}
{"STANDARD_NAME":"HP_THICKENED_EARS","SYSTEMATIC_NAME":"M37459","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009894","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009894","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Thickened ears","DESCRIPTION_FULL":"Increased thickness of the external ear. []"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_CRUS_OF_THE_HELIX","SYSTEMATIC_NAME":"M37460","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009895","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009895","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the crus of the helix","DESCRIPTION_FULL":"An abnormality of the crus of the helix, which is the horizontal piece of cartilage located outside the ear canal that divides the upper and lower parts of the ear. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_ANTITRAGUS","SYSTEMATIC_NAME":"M37461","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009896","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009896","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the antitragus","DESCRIPTION_FULL":"An abnormality of the antitragus, which is a small tubercle opposite to the tragus of the ear. The antitragus and the tragus are separated by the intertragic notch. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PROMINENT_EAR_HELIX","SYSTEMATIC_NAME":"M41380","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009904","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009904","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Prominent ear helix","DESCRIPTION_FULL":"Abnormally prominent ear helix. [HPO:probinson]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_EARLOBES","SYSTEMATIC_NAME":"M37462","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009906","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009906","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the earlobes","DESCRIPTION_FULL":"Absence or underdevelopment of the ear lobes. [HPO:curators]"}
{"STANDARD_NAME":"HP_UPLIFTED_EARLOBE","SYSTEMATIC_NAME":"M37463","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009909","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009909","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Uplifted earlobe","DESCRIPTION_FULL":"An abnormal orientation of the earlobes such that they point out- and upward. That is, the lateral surface of ear lobe faces superiorly. [HPO:probinson, PMID:19152421]"}
{"STANDARD_NAME":"HP_ABNORMAL_TEMPORAL_BONE_MORPHOLOGY","SYSTEMATIC_NAME":"M37464","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009911","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009911","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal temporal bone morphology","DESCRIPTION_FULL":"Abnormality of the temporal bone of the skull, which is situated at the sides and base of the skull roughly underlying the region of the face known as the temple. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_TRAGUS","SYSTEMATIC_NAME":"M37465","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009912","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009912","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the tragus","DESCRIPTION_FULL":"An abnormality of the tragus. [HPO:probinson]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_TRAGUS","SYSTEMATIC_NAME":"M41381","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009913","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009913","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the tragus","DESCRIPTION_FULL":"Aplasia or developmental hypoplasia of the tragus. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CYCLOPIA","SYSTEMATIC_NAME":"M37466","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009914","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009914","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cyclopia","DESCRIPTION_FULL":"Cyclopia is a congenital abnormality in which there is only one eye. That eye is centrally placed in the area normally occupied by the root of the nose. [DDD:ncarter]"}
{"STANDARD_NAME":"HP_ANISOCORIA","SYSTEMATIC_NAME":"M37467","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009916","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009916","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Anisocoria","DESCRIPTION_FULL":"Anisocoria, or unequal pupil size, may represent a benign physiologic variant or a manifestation of disease. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PERSISTENT_PUPILLARY_MEMBRANE","SYSTEMATIC_NAME":"M37468","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009917","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009917","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Persistent pupillary membrane","DESCRIPTION_FULL":"The presence of remnants of a fetal membrane that persist as strands of tissue crossing the pupil. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ECTOPIA_PUPILLAE","SYSTEMATIC_NAME":"M37469","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009918","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009918","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ectopia pupillae","DESCRIPTION_FULL":"A malposition of the pupil owing to a developmental defect of the iris. [DDD:gblack, HPO:probinson]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_INVOLVING_THE_NOSE","SYSTEMATIC_NAME":"M37470","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009924","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009924","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia involving the nose","DESCRIPTION_FULL":"Underdevelopment or absence of the nose or parts thereof. [HPO:curators]"}
{"STANDARD_NAME":"HP_EPIPHORA","SYSTEMATIC_NAME":"M37471","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009926","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009926","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Epiphora","DESCRIPTION_FULL":"Abnormally increased lacrimation, that is, excessive tearing (watering eye). [DDD:ncarter, HPO:probinson, ORCID:0000-0003-0986-4123, PMID:28003974]"}
{"STANDARD_NAME":"HP_THICK_NASAL_ALAE","SYSTEMATIC_NAME":"M37472","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009928","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009928","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Thick nasal alae","DESCRIPTION_FULL":"Increase in bulk of the ala nasi. [PMID:19152422]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_COLUMELLA","SYSTEMATIC_NAME":"M37473","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009929","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009929","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the columella","DESCRIPTION_FULL":"An abnormality of the columella. [HPO:curators]"}
{"STANDARD_NAME":"HP_SINGLE_NARIS","SYSTEMATIC_NAME":"M37474","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009932","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009932","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Single naris","DESCRIPTION_FULL":"The presence of only a single nostril. [PMID:19152422]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_NASAL_SEPTUM","SYSTEMATIC_NAME":"M37475","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009935","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009935","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the nasal septum","DESCRIPTION_FULL":"Absence or underdevelopment of the nasal septum. [HPO:curators]"}
{"STANDARD_NAME":"HP_MANDIBULAR_APLASIA","SYSTEMATIC_NAME":"M37477","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009939","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009939","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Mandibular aplasia","DESCRIPTION_FULL":"Absence of the mandible. [HPO:curators]"}
{"STANDARD_NAME":"HP_DUPLICATION_OF_THUMB_PHALANX","SYSTEMATIC_NAME":"M37478","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009942","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009942","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Duplication of thumb phalanx","DESCRIPTION_FULL":"Complete or partial duplication of the phalanges of the thumb. Depending on the severity, the appearance on x-ray can vary from a notched phalanx (the duplicated bone is almost completely fused with the phalanx), a partially fused appearance of the two bones (bifid), two separate bones appearing side to side, or completely duplicated phalanges (proximal and distal phalanx of the thumb and/or 1st metacarpal). In contrast to the phalanges of the digits 2-5 (proximal, middle and distal), the proximal phalanx of the thumb is embryologically equivalent to the middle phalanges of the other digits, whereas the first metacarpal is embryologically of phalangeal origin and as such equivalent to the proximal phalanges of the other digits. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_COMPLETE_DUPLICATION_OF_PHALANX_OF_HAND","SYSTEMATIC_NAME":"M37479","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009998","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009998","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Complete duplication of phalanx of hand","DESCRIPTION_FULL":"A complete duplication affecting one or more of the phalanges of the hand. As opposed to a partial duplication were there is still a variable degree of fusion between the duplicated bones, a complete duplication leads to two separate bones appearing side to side (radio-ulnar axis) as seen on x-rays. A duplication leading to an accesory bone appearing in the proximo-distal axis on x-rays, is a different entity called a Pseudoepiphyses (see according terms) sometimes also referred to as Hyperphalangism. [HPO:curators]"}
{"STANDARD_NAME":"HP_PARTIAL_DUPLICATION_OF_THE_PHALANX_OF_HAND","SYSTEMATIC_NAME":"M37480","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0009999","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0009999","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Partial duplication of the phalanx of hand","DESCRIPTION_FULL":"A partial duplication, depending on severity leading to a broad or bifid appearance, affecting one or more of the phalanges of the hand. As opposed to a complete duplication there is still a variable degree of fusion between the duplicated bones. [HPO:curators]"}
{"STANDARD_NAME":"HP_PARTIAL_DUPLICATION_OF_THE_DISTAL_PHALANGES_OF_THE_HAND","SYSTEMATIC_NAME":"M37481","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010004","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010004","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Partial duplication of the distal phalanges of the hand","DESCRIPTION_FULL":"A partial duplication, depending on severity leading to a broad or bifid appearance, affecting one or more of the distal phalanges of the hand. As opposed to a complete duplication there is still a variable degree of fusion between the duplicated bones. [HPO:curators]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_1ST_METACARPAL","SYSTEMATIC_NAME":"M37482","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010009","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010009","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the 1st metacarpal","DESCRIPTION_FULL":"A structural anomaly of the first metacarpal. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_2ND_METACARPAL","SYSTEMATIC_NAME":"M37483","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010010","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010010","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the 2nd metacarpal","DESCRIPTION_FULL":"Any abnormality of the second metacarpal bone. [HPO:curators]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_4TH_METACARPAL","SYSTEMATIC_NAME":"M37484","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010012","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010012","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the 4th metacarpal","DESCRIPTION_FULL":"Any abnormality of the fourth metacarpal bone. [HPO:curators]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_5TH_METACARPAL","SYSTEMATIC_NAME":"M37485","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010013","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010013","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the 5th metacarpal","DESCRIPTION_FULL":"Any abnormality of the fifth metacarpal bone. [HPO:curators]"}
{"STANDARD_NAME":"HP_SHORT_1ST_METACARPAL","SYSTEMATIC_NAME":"M37486","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010034","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010034","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Short 1st metacarpal","DESCRIPTION_FULL":"A developmental defect characterized by reduced length of the first metacarpal (long bone) of the hand. [HPO:probinson]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_2ND_METACARPAL","SYSTEMATIC_NAME":"M37488","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010036","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010036","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the 2nd metacarpal","DESCRIPTION_FULL":"Aplasia or Hypoplasia affecting the 2nd metacarpal. [HPO:curators]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_4TH_METACARPAL","SYSTEMATIC_NAME":"M37489","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010042","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010042","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the 4th metacarpal","DESCRIPTION_FULL":"Aplasia or Hypoplasia affecting the 4th metacarpal. [HPO:curators]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_5TH_METACARPAL","SYSTEMATIC_NAME":"M37490","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010045","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010045","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the 5th metacarpal","DESCRIPTION_FULL":"Aplasia or Hypoplasia affecting the 5th metacarpal. [HPO:curators]"}
{"STANDARD_NAME":"HP_APLASIA_OF_METACARPAL_BONES","SYSTEMATIC_NAME":"M37491","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010048","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010048","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia of metacarpal bones","DESCRIPTION_FULL":"Developmental defect associated with absence of one or more metacarpal bones. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DEVIATION_OF_THE_HALLUX","SYSTEMATIC_NAME":"M37492","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010051","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010051","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Deviation of the hallux","DESCRIPTION_FULL":"Displacement of the big toe from its normal position. [HPO:curators]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_DISTAL_PHALANX_OF_THE_HALLUX","SYSTEMATIC_NAME":"M37493","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010053","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010053","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the distal phalanx of the hallux"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_FIRST_METATARSAL_BONE","SYSTEMATIC_NAME":"M37494","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010054","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010054","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the first metatarsal bone","DESCRIPTION_FULL":"An anomaly of the first metatarsal bone. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_PHALANGES_OF_THE_HALLUX","SYSTEMATIC_NAME":"M37495","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010057","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010057","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the phalanges of the hallux"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_PHALANGES_OF_THE_HALLUX","SYSTEMATIC_NAME":"M37496","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010058","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010058","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the phalanges of the hallux"}
{"STANDARD_NAME":"HP_BROAD_HALLUX_PHALANX","SYSTEMATIC_NAME":"M37497","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010059","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010059","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Broad hallux phalanx","DESCRIPTION_FULL":"An increase in width in one or more phalanges of the big toe. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DUPLICATION_OF_PHALANX_OF_HALLUX","SYSTEMATIC_NAME":"M37498","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010066","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010066","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Duplication of phalanx of hallux","DESCRIPTION_FULL":"Partial or complete duplication of one or more phalanx of big toe. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_PHALANGES_OF_THE_TOES","SYSTEMATIC_NAME":"M37501","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010161","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010161","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the phalanges of the toes"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_PHALANGES_OF_THE_TOES","SYSTEMATIC_NAME":"M37502","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010173","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010173","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the phalanges of the toes"}
{"STANDARD_NAME":"HP_BROAD_PHALANX_OF_THE_TOES","SYSTEMATIC_NAME":"M37503","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010174","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010174","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Broad phalanx of the toes","DESCRIPTION_FULL":"Increased width of phalanx of one or more toes. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_DISTAL_PHALANGES_OF_THE_TOES","SYSTEMATIC_NAME":"M37504","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010182","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010182","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the distal phalanges of the toes"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_MIDDLE_PHALANGES_OF_THE_TOES","SYSTEMATIC_NAME":"M37505","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010183","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010183","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the middle phalanges of the toes"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_DISTAL_PHALANGES_OF_THE_TOES","SYSTEMATIC_NAME":"M37506","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010185","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010185","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the distal phalanges of the toes","DESCRIPTION_FULL":"Absence or underdevelopment of the distal phalanges of the toes. [HPO:probinson]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_MIDDLE_PHALANGES_OF_THE_TOES","SYSTEMATIC_NAME":"M37507","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010194","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010194","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the middle phalanges of the toes"}
{"STANDARD_NAME":"HP_CONE_SHAPED_EPIPHYSES_OF_THE_PHALANGES_OF_THE_HAND","SYSTEMATIC_NAME":"M37508","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010230","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010230","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cone-shaped epiphyses of the phalanges of the hand","DESCRIPTION_FULL":"A cone-shaped appearance of the epiphyses of the fingers of the hand, producing a 'ball-in-a-socket' appearance. The related entity 'angel-shaped' epiphysis refers to a pronounced cone-shaped epiphysis in combination with a pseudoepiphysis at the distal end of a phalanx. [HPO:curators]"}
{"STANDARD_NAME":"HP_APLASIA_OF_THE_MIDDLE_PHALANX_OF_THE_HAND","SYSTEMATIC_NAME":"M37509","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010239","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010239","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia of the middle phalanx of the hand","DESCRIPTION_FULL":"Absence of one or more middle phalanx of a finger. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SHORT_PROXIMAL_PHALANX_OF_FINGER","SYSTEMATIC_NAME":"M37510","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010241","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010241","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Short proximal phalanx of finger","DESCRIPTION_FULL":"Congenital hypoplasia of one or more proximal phalanx of finger. [HPO:probinson]"}
{"STANDARD_NAME":"HP_APLASIA_OF_THE_PROXIMAL_PHALANGES_OF_THE_HAND","SYSTEMATIC_NAME":"M37511","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010242","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010242","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia of the proximal phalanges of the hand"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_EPIPHYSES_OF_THE_DISTAL_PHALANX_OF_FINGER","SYSTEMATIC_NAME":"M41382","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010243","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010243","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the epiphyses of the distal phalanx of finger","DESCRIPTION_FULL":"Any anomaly of distal epiphysis of phalanx of finger. [HPO:probinson]"}
{"STANDARD_NAME":"HP_STOMATITIS","SYSTEMATIC_NAME":"M37512","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010280","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010280","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Stomatitis","DESCRIPTION_FULL":"Stomatitis is an inflammation of the mucous membranes of any of the structures in the mouth. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_SALIVARY_GLAND_MORPHOLOGY","SYSTEMATIC_NAME":"M37513","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010286","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010286","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal salivary gland morphology","DESCRIPTION_FULL":"Any abnormality of the salivary glands, the exocrine glands that produce saliva. [HPO:probinson]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_UVULA","SYSTEMATIC_NAME":"M37515","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010293","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010293","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the uvula","DESCRIPTION_FULL":"Underdevelopment or absence of the uvula. [HPO:curators]"}
{"STANDARD_NAME":"HP_PALATE_FISTULA","SYSTEMATIC_NAME":"M37516","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010294","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010294","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Palate fistula","DESCRIPTION_FULL":"A fistula which connects the oral cavity and the pharyngeal area via the aspects of the soft palate. [HPO:probinson]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_TONGUE","SYSTEMATIC_NAME":"M37517","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010295","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010295","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the tongue","DESCRIPTION_FULL":"Absence or underdevelopment of the tongue. [HPO:curators]"}
{"STANDARD_NAME":"HP_ANKYLOGLOSSIA","SYSTEMATIC_NAME":"M37518","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010296","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010296","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ankyloglossia","DESCRIPTION_FULL":"Short or anteriorly attached lingual frenulum, associated with limited mobility of the tongue. [PMID:19125428]"}
{"STANDARD_NAME":"HP_BIFID_TONGUE","SYSTEMATIC_NAME":"M37519","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010297","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010297","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Bifid tongue","DESCRIPTION_FULL":"Tongue with a median apical indentation or fork. [PMID:19125428]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_DENTIN","SYSTEMATIC_NAME":"M37520","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010299","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010299","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of dentin","DESCRIPTION_FULL":"Any abnormality of dentin. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALLY_LOW_PITCHED_VOICE","SYSTEMATIC_NAME":"M37521","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010300","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010300","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormally low-pitched voice","DESCRIPTION_FULL":"An abnormally low-pitched voice. [HPO:curators]"}
{"STANDARD_NAME":"HP_SPINAL_DYSRAPHISM","SYSTEMATIC_NAME":"M41383","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010301","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010301","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Spinal dysraphism","DESCRIPTION_FULL":"A heterogeneous group of congenital spinal anomalies that result from defective closure of the neural tube early in fetal life. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SPINAL_CORD_TUMOR","SYSTEMATIC_NAME":"M37522","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010302","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010302","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Spinal cord tumor","DESCRIPTION_FULL":"A neoplasm affecting the spinal cord. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_SPINAL_MENINGEAL_MORPHOLOGY","SYSTEMATIC_NAME":"M37523","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010303","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010303","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal spinal meningeal morphology","DESCRIPTION_FULL":"Any abnormality of the spinal meninges, the system of membranes (dura mater, the arachnoid mater, and the pia mater) which envelops the spinal cord. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABSENCE_OF_THE_SACRUM","SYSTEMATIC_NAME":"M37524","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010305","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010305","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Absence of the sacrum","DESCRIPTION_FULL":"Absence (aplasia) of the sacrum. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SHORT_THORAX","SYSTEMATIC_NAME":"M37525","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010306","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010306","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Short thorax","DESCRIPTION_FULL":"Reduced inferior to superior extent of the thorax. [HPO:curators]"}
{"STANDARD_NAME":"HP_STRIDOR","SYSTEMATIC_NAME":"M37526","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010307","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010307","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Stridor","DESCRIPTION_FULL":"Stridor is a high pitched sound resulting from turbulent air flow in the upper airway. [HPO:probinson, PMID:26229557]"}
{"STANDARD_NAME":"HP_CHYLOTHORAX","SYSTEMATIC_NAME":"M37527","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010310","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010310","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Chylothorax","DESCRIPTION_FULL":"Accumulation of excessive amounts of lymphatic fluid (chyle) in the pleural cavity. [HPO:curators]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_BREASTS","SYSTEMATIC_NAME":"M37528","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010311","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010311","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the breasts","DESCRIPTION_FULL":"Absence or underdevelopment of the breasts. [HPO:curators]"}
{"STANDARD_NAME":"HP_PREMATURE_THELARCHE","SYSTEMATIC_NAME":"M37529","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010314","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010314","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Premature thelarche","DESCRIPTION_FULL":"Premature development of the breasts. [HPO:probinson]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_ABDOMINAL_WALL_MUSCULATURE","SYSTEMATIC_NAME":"M37530","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010318","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010318","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the abdominal wall musculature","DESCRIPTION_FULL":"Absence or underdevelopment of the abdominal musculature. [HPO:curators]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_2ND_TOE","SYSTEMATIC_NAME":"M37531","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010319","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010319","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the 2nd toe","DESCRIPTION_FULL":"An anomaly of the second toe. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_3RD_TOE","SYSTEMATIC_NAME":"M41384","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010320","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010320","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the 3rd toe","DESCRIPTION_FULL":"An anomaly of the third toe. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_5TH_TOE","SYSTEMATIC_NAME":"M37532","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010322","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010322","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the 5th toe","DESCRIPTION_FULL":"An anomaly of the little toe. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DEVIATION_OF_THE_5TH_TOE","SYSTEMATIC_NAME":"M37533","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010344","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010344","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Deviation of the 5th toe"}
{"STANDARD_NAME":"HP_ABNORMAL_VENTRICULAR_SEPTUM_MORPHOLOGY","SYSTEMATIC_NAME":"M37534","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010438","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010438","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal ventricular septum morphology","DESCRIPTION_FULL":"A structural abnormality of the interventricular septum. [HPO:probinson]"}
{"STANDARD_NAME":"HP_POLYDACTYLY","SYSTEMATIC_NAME":"M37535","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010442","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010442","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Polydactyly","DESCRIPTION_FULL":"A congenital anomaly characterized by the presence of supernumerary fingers or toes. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PULMONARY_INSUFFICIENCY","SYSTEMATIC_NAME":"M37536","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010444","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010444","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pulmonary insufficiency","DESCRIPTION_FULL":"The retrograde (backwards) flow of blood through the pulmonary valve into the right ventricle during diastole. [HPO:curators]"}
{"STANDARD_NAME":"HP_TRICUSPID_STENOSIS","SYSTEMATIC_NAME":"M41385","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010446","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010446","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Tricuspid stenosis","DESCRIPTION_FULL":"A narrowing of the orifice of the tricuspid valve of the heart. [HPO:probinson, PMID:18222317]"}
{"STANDARD_NAME":"HP_ESOPHAGEAL_STENOSIS","SYSTEMATIC_NAME":"M37537","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010450","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010450","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Esophageal stenosis","DESCRIPTION_FULL":"An abnormal narrowing of the lumen of the esophagus. [HPO:probinson]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_SPLEEN","SYSTEMATIC_NAME":"M37538","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010451","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010451","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the spleen","DESCRIPTION_FULL":"Absence or underdevelopment of the spleen. [HPO:curators]"}
{"STANDARD_NAME":"HP_ACETABULAR_SPURS","SYSTEMATIC_NAME":"M37539","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010454","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010454","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Acetabular spurs","DESCRIPTION_FULL":"The presence of osteophytes (bone spurs), i.e., of bony projections originating from the acetabulum. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_GREATER_SCIATIC_NOTCH_MORPHOLOGY","SYSTEMATIC_NAME":"M37540","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010456","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010456","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal greater sciatic notch morphology","DESCRIPTION_FULL":"An abnormality of the sacrosciatic notch, i.e., the deep indentation in the posterior border of the hip bone at the point of union of the ilium and ischium. [HPO:curators]"}
{"STANDARD_NAME":"HP_FEMALE_PSEUDOHERMAPHRODITISM","SYSTEMATIC_NAME":"M37541","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010458","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010458","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Female pseudohermaphroditism","DESCRIPTION_FULL":"Hermaphroditism refers to a discrepancy between the morphology of the gonads and that of the external genitalia. In female pseudohermaphroditism, the genotype is female (XX) and the gonads are ovaries, but the external genitalia are virilized. [HPO:curators]"}
{"STANDARD_NAME":"HP_TRUE_HERMAPHRODITISM","SYSTEMATIC_NAME":"M37542","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010459","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010459","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"True hermaphroditism","DESCRIPTION_FULL":"The presence of both ovarian and testicular tissues either in the same or in opposite gonads. Affected persons have ambiguous genitalia and may have 46,XX or 46,XY karyotypes or 46,XX/XY mosaicism. [HPO:curators]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_FEMALE_GENITALIA","SYSTEMATIC_NAME":"M37543","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010460","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010460","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the female genitalia","DESCRIPTION_FULL":"Abnormality of the female genital system. [HPO:probinson]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_OVARY","SYSTEMATIC_NAME":"M37544","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010462","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010462","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the ovary","DESCRIPTION_FULL":"Aplasia or developmental hypoplasia of the ovary. [HPO:probinson]"}
{"STANDARD_NAME":"HP_STREAK_OVARY","SYSTEMATIC_NAME":"M37545","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010464","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010464","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Streak ovary","DESCRIPTION_FULL":"A developmental disorder characterized by the progressive loss of primordial germ cells in the developing ovaries of an embryo, leading to hypoplastic ovaries composed of wavy connective tissue with occasional clumps of granulosa cells, and frequently mesonephric or hilar cells. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PRECOCIOUS_PUBERTY_IN_FEMALES","SYSTEMATIC_NAME":"M41386","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010465","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010465","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Precocious puberty in females","DESCRIPTION_FULL":"The onset of puberty before the age of 8 years in girls. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABSENT_TESTIS","SYSTEMATIC_NAME":"M37546","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010469","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010469","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Absent testis","DESCRIPTION_FULL":"Testis not palpable in the scrotum or inguinal canal. [HPO:probinson, PMID:23650202]"}
{"STANDARD_NAME":"HP_OLIGOSACCHARIDURIA","SYSTEMATIC_NAME":"M37547","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010471","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010471","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Oligosacchariduria","DESCRIPTION_FULL":"Increased urinary excretion of oligosaccharides (low molecular weight carbohydrate chains composed of at least three monosaccharide subunits), derived from a partial degradation of glycoproteins. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_CIRCULATING_PORPHYRIN_CONCENTRATION","SYSTEMATIC_NAME":"M41387","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010472","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010472","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal circulating porphyrin concentration","DESCRIPTION_FULL":"An abnormality in the synthesis or catabolism of heme. Heme is composed of ferrous iron and protoporphyrin IX and is an essential molecule as the prosthetic group of hemeproteins such as hemoglobin, myoglobin, mitochondrial and microsomal cytochromes. [HPO:curators]"}
{"STANDARD_NAME":"HP_PORPHYRINURIA","SYSTEMATIC_NAME":"M41388","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010473","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010473","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Porphyrinuria","DESCRIPTION_FULL":"Abnormally increased excretion of porphyrins in the urine. [HPO:probinson]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_BLADDER","SYSTEMATIC_NAME":"M37548","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010476","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010476","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the bladder","DESCRIPTION_FULL":"Absence or underdevelopment of the urinary bladder. [HPO:probinson]"}
{"STANDARD_NAME":"HP_URETHRAL_VALVE","SYSTEMATIC_NAME":"M37549","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010481","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010481","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Urethral valve","DESCRIPTION_FULL":"The presence of an abnormal membrane obstructing the urethra. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPEREXTENSIBILITY_AT_ELBOW","SYSTEMATIC_NAME":"M37550","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010485","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010485","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hyperextensibility at elbow","DESCRIPTION_FULL":"The ability of the elbow joint to move beyond its normal range of motion. [HPO:curators]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_PALMAR_CREASES","SYSTEMATIC_NAME":"M37551","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010488","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010488","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the palmar creases","DESCRIPTION_FULL":"Absence or underdevelopment of the palmar creases. [HPO:curators]"}
{"STANDARD_NAME":"HP_ABSENT_PALMAR_CREASE","SYSTEMATIC_NAME":"M37552","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010489","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010489","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Absent palmar crease","DESCRIPTION_FULL":"The absence of the major creases of the palm (distal transverse crease, proximal transverse crease, or thenar crease). [HPO:probinson, PMID:19125433]"}
{"STANDARD_NAME":"HP_SIRENOMELIA","SYSTEMATIC_NAME":"M37553","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010497","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010497","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Sirenomelia","DESCRIPTION_FULL":"A developmental defect in which the legs are fused together. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PATELLAR_SUBLUXATION","SYSTEMATIC_NAME":"M37554","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010499","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010499","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Patellar subluxation","DESCRIPTION_FULL":"The kneecap normally is located within the groove termed trochlea on the distal femur and can slide up and down in it. Patellar subluxation refers to an unstable kneecap that does not slide centrally within its groove, i.e., a partial dislocation of the patella. [HPO:curators]"}
{"STANDARD_NAME":"HP_HYPEREXTENSIBILITY_OF_THE_KNEE","SYSTEMATIC_NAME":"M37555","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010500","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010500","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hyperextensibility of the knee","DESCRIPTION_FULL":"The ability of the knee joint to extend beyond its normal range of motion (the lower leg is moved beyond a straight position with respect to the thigh). [HPO:probinson]"}
{"STANDARD_NAME":"HP_LIMITATION_OF_KNEE_MOBILITY","SYSTEMATIC_NAME":"M41389","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010501","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010501","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Limitation of knee mobility","DESCRIPTION_FULL":"An abnormal limitation of knee joint mobility. [HPO:curators]"}
{"STANDARD_NAME":"HP_FIBULAR_BOWING","SYSTEMATIC_NAME":"M37556","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010502","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010502","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Fibular bowing","DESCRIPTION_FULL":"A bending or abnormal curvature of the fibula. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LIMITATION_OF_MOVEMENT_AT_ANKLES","SYSTEMATIC_NAME":"M41390","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010505","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010505","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Limitation of movement at ankles","DESCRIPTION_FULL":"An abnormal limitation of the mobility of the ankle joint. [HPO:curators]"}
{"STANDARD_NAME":"HP_METATARSUS_VALGUS","SYSTEMATIC_NAME":"M37557","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010508","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010508","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Metatarsus valgus","DESCRIPTION_FULL":"A condition in which the anterior part of the foot rotates outward away from the midline of the body and the heel remains straight. [HPO:curators]"}
{"STANDARD_NAME":"HP_LONG_TOE","SYSTEMATIC_NAME":"M37558","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010511","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010511","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Long toe","DESCRIPTION_FULL":"Toes that appear disproportionately long compared to the foot. [HPO:probinson, PMID:19125433]"}
{"STANDARD_NAME":"HP_HYPERPITUITARISM","SYSTEMATIC_NAME":"M37559","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010514","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010514","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hyperpituitarism","DESCRIPTION_FULL":"Hypersecretion of one or more pituitary hormones. This can occur in conditions in which deficiency in the target organ leads to decreased hormonal feedback, or as a primary condition most usually in connection with a pituitary adenoma. [HPO:probinson]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_THYMUS","SYSTEMATIC_NAME":"M37560","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010515","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010515","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the thymus","DESCRIPTION_FULL":"Absence or underdevelopment of the thymus. [HPO:probinson]"}
{"STANDARD_NAME":"HP_THYMUS_HYPERPLASIA","SYSTEMATIC_NAME":"M41391","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010516","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010516","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Thymus hyperplasia","DESCRIPTION_FULL":"Enlargement of the thymus. [HPO:curators]"}
{"STANDARD_NAME":"HP_DYSLEXIA","SYSTEMATIC_NAME":"M37561","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010522","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010522","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Dyslexia","DESCRIPTION_FULL":"A learning disorder characterized primarily by difficulties in learning to read and spell. Dyslectic children also exhibit a tendency to read words from right to left and to confuse letters such as b and d whose orientation is important for their identification. Children with dyslexia appear to be impaired in phonemic skills (the ability to associate visual symbols with the sounds they represent). [HPO:probinson]"}
{"STANDARD_NAME":"HP_AGNOSIA","SYSTEMATIC_NAME":"M37563","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010524","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010524","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Agnosia","DESCRIPTION_FULL":"Inability to recognize objects not because of sensory deficit but because of the inability to combine components of sensory impressions into a complete pattern. Thus, agnosia is a neurological condition which results in an inability to know, to name, to identify, and to extract meaning from visual, auditory, or tactile impressions. [HPO:probinson]"}
{"STANDARD_NAME":"HP_FINGER_AGNOSIA","SYSTEMATIC_NAME":"M37564","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010525","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010525","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Finger agnosia","DESCRIPTION_FULL":"An inability or difficulty differentiating among the fingers of either hand as well as the hands of others. [HPO:curators]"}
{"STANDARD_NAME":"HP_DYSGRAPHIA","SYSTEMATIC_NAME":"M37565","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010526","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010526","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Dysgraphia","DESCRIPTION_FULL":"A writing disability in the absence of motor or sensory deficits of the upper extremities, resulting in an impairment in the ability to write regardless of the ability to read and not due to intellectual impairment. [HPO:curators]"}
{"STANDARD_NAME":"HP_ECHOLALIA","SYSTEMATIC_NAME":"M37566","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010529","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010529","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Echolalia","DESCRIPTION_FULL":"The tendency to repeat vocalizations made by another person. [HPO:curators]"}
{"STANDARD_NAME":"HP_TRANSIENT_GLOBAL_AMNESIA","SYSTEMATIC_NAME":"M37567","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010534","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010534","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Transient global amnesia","DESCRIPTION_FULL":"A paroxysmal, transient loss of memory function with preservation of immediate recall and remote memory but with a severe impairment of memory for recent events and ability to retain new information. [HPO:curators]"}
{"STANDARD_NAME":"HP_SLEEP_APNEA","SYSTEMATIC_NAME":"M37568","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010535","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010535","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Sleep apnea","DESCRIPTION_FULL":"An intermittent cessation of airflow at the mouth and nose during sleep. Apneas of at least 10 seconds are considered important, but persons with sleep apnea may have apneas of 20 seconds to up to 2 or 3 minutes. Patients may have up to 15 events per hour of sleep. [HPO:curators]"}
{"STANDARD_NAME":"HP_CENTRAL_SLEEP_APNEA","SYSTEMATIC_NAME":"M37569","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010536","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010536","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Central sleep apnea","DESCRIPTION_FULL":"Sleep apnea resulting from a transient abolition of the central drive to the ventilatory muscles. [HPO:probinson]"}
{"STANDARD_NAME":"HP_WIDE_CRANIAL_SUTURES","SYSTEMATIC_NAME":"M37570","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010537","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010537","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Wide cranial sutures","DESCRIPTION_FULL":"An abnormally increased width of the cranial sutures for age-related norms (generally resulting from delayed closure). [HPO:probinson]"}
{"STANDARD_NAME":"HP_OPSOCLONUS","SYSTEMATIC_NAME":"M37571","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010543","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010543","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Opsoclonus","DESCRIPTION_FULL":"Bursts of large-amplitude multidirectional saccades without intersaccadic interval [HPO:probinson, UManchester:psergouniotis]"}
{"STANDARD_NAME":"HP_VERTICAL_NYSTAGMUS","SYSTEMATIC_NAME":"M37572","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010544","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010544","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Vertical nystagmus","DESCRIPTION_FULL":"Vertical nystagmus may present with either up-beating or down-beating eye movements or both. When present in the straight-ahead position of gaze it is referred to as upbeat nystagmus or downbeat nystagmus. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MUSCLE_FIBRILLATION","SYSTEMATIC_NAME":"M37573","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010546","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010546","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Muscle fibrillation","DESCRIPTION_FULL":"Fine, rapid twitching of individual muscle fibers with little or no movement of the muscle as a whole. If a motor neuron or its axon is destroyed, the muscle fibers it innervates undergo denervation atrophy. This leads to hypersensitivity of individual muscle fibers to acetyl choline so that they may contract spontaneously. Isolated activity of individual muscle fibers is generally so fine it cannot be seen through the intact skin, although it can be recorded as a short-duration spike in the EMG. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MUSCLE_FLACCIDITY","SYSTEMATIC_NAME":"M37574","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010547","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010547","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Muscle flaccidity","DESCRIPTION_FULL":"A type of paralysis in which a muscle becomes soft and yields to passive stretching, which results from loss of all or practically all peripheral motor nerves that innervated the muscle. Muscle tone is reduced and the affected muscles undergo extreme atrophy within months of the loss of innervation. [HPO:curators]"}
{"STANDARD_NAME":"HP_PERCUSSION_MYOTONIA","SYSTEMATIC_NAME":"M37575","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010548","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010548","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Percussion myotonia","DESCRIPTION_FULL":"A localized myotonic contraction in a muscle in reaction to percussion (tapping with the examiner's finger, a rubber percussion hammer, or a similar object). [HPO:curators]"}
{"STANDARD_NAME":"HP_WEAKNESS_DUE_TO_UPPER_MOTOR_NEURON_DYSFUNCTION","SYSTEMATIC_NAME":"M37576","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010549","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010549","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Weakness due to upper motor neuron dysfunction","DESCRIPTION_FULL":"Paralysis of voluntary muscles means loss of contraction due to interruption of one or more motor pathways from the brain to the muscle fibers. Although the word paralysis is often used interchangeably to mean either complete or partial loss of muscle strength, it is preferable to use paralysis or plegia for complete or severe loss of muscle strength, and paresis for partial or slight loss. Paralysis due to lesions of the principle motor tracts is related to a lesion in the corticospinal, corticobulbar or brainstem descending (subcorticospinal) neurons. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PARAPLEGIA","SYSTEMATIC_NAME":"M37577","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010550","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010550","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Paraplegia","DESCRIPTION_FULL":"Severe or complete weakness of both lower extremities with sparing of the upper extremities. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PARAPLEGIA_PARAPARESIS","SYSTEMATIC_NAME":"M37578","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010551","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010551","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Paraplegia/paraparesis","DESCRIPTION_FULL":"Weakness of both lower extremities with sparing of the upper extremities. Paraplegia refers to a severe or complete loss of strength, whereas paraparesis refers to a relatively mild loss of strength. [HPO:curators]"}
{"STANDARD_NAME":"HP_OCULOGYRIC_CRISIS","SYSTEMATIC_NAME":"M37579","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010553","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010553","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Oculogyric crisis","DESCRIPTION_FULL":"An acute dystonic reaction with blepharospasm, periorbital twitches, and protracted fixed staring episodes. There may be a maximal upward deviation of the eyes in the sustained fashion. Oculogyric crisis can be triggered by a number of factors including neuroleptic medications. [HPO:curators]"}
{"STANDARD_NAME":"HP_CUTANEOUS_FINGER_SYNDACTYLY","SYSTEMATIC_NAME":"M37580","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010554","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010554","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cutaneous finger syndactyly","DESCRIPTION_FULL":"A soft tissue continuity in the A/P axis between two fingers that extends distally to at least the level of the proximal interphalangeal joints, or a soft tissue continuity in the A/P axis between two fingers that lies significantly distal to the flexion crease that overlies the metacarpophalangeal joint of the adjacent fingers. [PMID:19125433]"}
{"STANDARD_NAME":"HP_OVERLAPPING_FINGERS","SYSTEMATIC_NAME":"M37581","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010557","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010557","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Overlapping fingers","DESCRIPTION_FULL":"A finger resting on the dorsal surface of an adjacent digit when the hand is at rest. [HPO:probinson, PMID:19125433]"}
{"STANDARD_NAME":"HP_KELOIDS","SYSTEMATIC_NAME":"M41392","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010562","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010562","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Keloids"}
{"STANDARD_NAME":"HP_BIFID_EPIGLOTTIS","SYSTEMATIC_NAME":"M37582","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010564","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010564","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Bifid epiglottis","DESCRIPTION_FULL":"A midline anterior-posterior cleft of the epiglottis that involves at least two-thirds of the epiglottic leaf. It is a useful feature for clinical diagnosis because it appears to be very rare in syndromes other than Pallister-Hall-Syndrome and is also rare as an isolated malformation. [HPO:curators]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_EPIGLOTTIS","SYSTEMATIC_NAME":"M37583","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010565","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010565","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the Epiglottis","DESCRIPTION_FULL":"This term applies if the Epiglottis is absent or hypoplastic. [HPO:curators]"}
{"STANDARD_NAME":"HP_HAMARTOMA","SYSTEMATIC_NAME":"M37584","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010566","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010566","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hamartoma","DESCRIPTION_FULL":"A disordered proliferation of mature tissues that is native to the site of origin, e.g., exostoses, nevi and soft tissue hamartomas. Although most hamartomas are benign, some histologic subtypes, e.g., neuromuscular hamartoma, may proliferate aggressively such as mesenchymal cystic hamartoma, Sclerosing epithelial hamartoma, Sclerosing metanephric hamartoma. [HPO:curators]"}
{"STANDARD_NAME":"HP_HAMARTOMA_OF_THE_EYE","SYSTEMATIC_NAME":"M37585","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010568","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010568","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hamartoma of the eye","DESCRIPTION_FULL":"A hamartoma (disordered proliferation of mature tissues) which can originate from any tissue of the eye. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DYSPLASIA_OF_THE_FEMORAL_HEAD","SYSTEMATIC_NAME":"M41393","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010575","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010575","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Dysplasia of the femoral head","DESCRIPTION_FULL":"The presence of developmental dysplasia of the femoral head. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABSENT_EPIPHYSES","SYSTEMATIC_NAME":"M37587","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010577","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010577","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Absent epiphyses"}
{"STANDARD_NAME":"HP_CONE_SHAPED_EPIPHYSIS","SYSTEMATIC_NAME":"M37588","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010579","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010579","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cone-shaped epiphysis","DESCRIPTION_FULL":"Cone-shaped epiphyses (also known as coned epiphyses) are epiphyses that invaginate into cupped metaphyses. That is, the epiphysis has a cone-shaped distal extension resulting from increased growth of the central portion of the epiphysis relative to its periphery. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ENLARGED_EPIPHYSES","SYSTEMATIC_NAME":"M37589","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010580","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010580","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Enlarged epiphyses","DESCRIPTION_FULL":"Increased size of epiphyses. [HPO:probinson]"}
{"STANDARD_NAME":"HP_IRREGULAR_EPIPHYSES","SYSTEMATIC_NAME":"M37590","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010582","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010582","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Irregular epiphyses","DESCRIPTION_FULL":"An alteration of the normally smooth contour of the epiphysis leading to an irregular appearance. [HPO:probinson]"}
{"STANDARD_NAME":"HP_IVORY_EPIPHYSES","SYSTEMATIC_NAME":"M37591","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010583","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010583","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ivory epiphyses","DESCRIPTION_FULL":"Sclerosis of the epiphyses, leading to an increased degree of radiopacity (white or ivory appearance) in X-rays. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_PSEUDOEPIPHYSES","SYSTEMATIC_NAME":"M37592","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010584","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010584","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pseudoepiphyses"}
{"STANDARD_NAME":"HP_SMALL_EPIPHYSES","SYSTEMATIC_NAME":"M37593","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010585","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010585","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Small epiphyses","DESCRIPTION_FULL":"Reduction in the size or volume of epiphyses. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SKIN_TAGS","SYSTEMATIC_NAME":"M37594","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010609","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010609","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Skin tags","DESCRIPTION_FULL":"Cutaneous skin tags also known as acrochorda or fibroepithelial polyps are small benign tumours that may either form secondarily over time primarily in areas where the skin forms creases, such as the neck, armpit or groin or may also be present at birth, in which case they usually occur in the periauricular region. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_PALMAR_PITS","SYSTEMATIC_NAME":"M37595","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010610","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010610","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Palmar pits"}
{"STANDARD_NAME":"HP_ANGIOFIBROMAS","SYSTEMATIC_NAME":"M37596","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010615","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010615","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Angiofibromas","DESCRIPTION_FULL":"Angiofibroma consist of many often dilated vessels. [HPO:curators]"}
{"STANDARD_NAME":"HP_FIBROADENOMA_OF_THE_BREAST","SYSTEMATIC_NAME":"M37597","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010619","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010619","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Fibroadenoma of the breast","DESCRIPTION_FULL":"A benign biphasic tumor of the breast with epithelial and stromal components. [HPO:probinson, PMID:23396888]"}
{"STANDARD_NAME":"HP_MALAR_PROMINENCE","SYSTEMATIC_NAME":"M37598","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010620","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010620","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Malar prominence","DESCRIPTION_FULL":"Prominence of the malar process of the maxilla and infraorbital area appreciated in profile and from in front of the face. [DDD:jclayton-smith]"}
{"STANDARD_NAME":"HP_CUTANEOUS_SYNDACTYLY_OF_TOES","SYSTEMATIC_NAME":"M37599","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010621","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010621","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cutaneous syndactyly of toes","DESCRIPTION_FULL":"A soft tissue continuity in the anteroposterior axis between adjacent foot digits that involves at least half of the proximodistal length of one of the two involved digits; or, a soft tissue continuity in the A/P axis between two digits of the foot that does not meet the prior objective criteria. [HPO:probinson, PMID:19125433]"}
{"STANDARD_NAME":"HP_NEOPLASM_OF_THE_SKELETAL_SYSTEM","SYSTEMATIC_NAME":"M37600","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010622","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010622","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neoplasm of the skeletal system","DESCRIPTION_FULL":"A tumor (abnormal growth of tissue) of the skeleton. [HPO:probinson]"}
{"STANDARD_NAME":"HP_APLASTIC_HYPOPLASTIC_TOENAIL","SYSTEMATIC_NAME":"M37601","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010624","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010624","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplastic/hypoplastic toenail","DESCRIPTION_FULL":"Absence or underdevelopment of the toenail. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ANTERIOR_PITUITARY_DYSGENESIS","SYSTEMATIC_NAME":"M37602","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010625","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010625","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Anterior pituitary dysgenesis","DESCRIPTION_FULL":"Absence or underdevelopment of the anterior pituitary gland, also known as the adenohypophysis. [DDD:spark, HPO:probinson]"}
{"STANDARD_NAME":"HP_ANTERIOR_PITUITARY_AGENESIS","SYSTEMATIC_NAME":"M37603","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010626","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010626","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Anterior pituitary agenesis","DESCRIPTION_FULL":"Absence of the anterior pituitary gland resulting from a developmental defect. [DDD:spark, HPO:probinson, HPO:skoehler]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_EPIPHYSES_OF_THE_FEET","SYSTEMATIC_NAME":"M41394","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010631","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010631","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the epiphyses of the feet","DESCRIPTION_FULL":"Any abnormality of the epiphyses of the feet. [HPO:curators]"}
{"STANDARD_NAME":"HP_SCHIZENCEPHALY","SYSTEMATIC_NAME":"M37604","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010636","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010636","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Schizencephaly","DESCRIPTION_FULL":"The presence of a cleft in the cerebral cortex unilaterally or bilaterally, usually located in the frontal area. [HPO:curators]"}
{"STANDARD_NAME":"HP_ELEVATED_ALKALINE_PHOSPHATASE_OF_BONE_ORIGIN","SYSTEMATIC_NAME":"M37605","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010639","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010639","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Elevated alkaline phosphatase of bone origin","DESCRIPTION_FULL":"An abnormally increased level of bone isoforms of alkaline phosphatase, tissue-nonspecific isozyme in the blood. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_NASAL_CAVITY","SYSTEMATIC_NAME":"M37606","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010640","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010640","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the nasal cavity","DESCRIPTION_FULL":"Abnormality of the nasal cavity (the cavity includes and starts at the nares and reaches all the way through to the and includes the choanae, the posterior nasal apertures). [HPO:curators]"}
{"STANDARD_NAME":"HP_CERVICAL_SPINE_INSTABILITY","SYSTEMATIC_NAME":"M41395","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010646","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010646","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cervical spine instability","DESCRIPTION_FULL":"An abnormal lack of stability of the cervical spine. [HPO:curators]"}
{"STANDARD_NAME":"HP_ABNORMAL_ELASTICITY_OF_SKIN","SYSTEMATIC_NAME":"M37607","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010647","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010647","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal elasticity of skin","DESCRIPTION_FULL":"Any abnormal increase or reduction in skin elasticity. [DDD:cmoss]"}
{"STANDARD_NAME":"HP_DERMAL_TRANSLUCENCY","SYSTEMATIC_NAME":"M37608","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010648","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010648","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Dermal translucency","DESCRIPTION_FULL":"An abnormally increased ability of the skin to permit light to pass through (translucency) such that subcutaneous structures such as veins display an increased degree of visibility. [HPO:probinson]"}
{"STANDARD_NAME":"HP_FLAT_NASAL_ALAE","SYSTEMATIC_NAME":"M37609","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010649","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010649","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Flat nasal alae","DESCRIPTION_FULL":"An abnormal degree of flatness of the Ala of nose, which can be defined as a reduced nasal elevation index (lateral depth of the nose from the tip of the nose to the insertion of the nasal ala in the cheek x 100 divided by the side-to-side breadth of the nasal alae). [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_MENINGEAL_MORPHOLOGY","SYSTEMATIC_NAME":"M37610","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010651","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010651","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal meningeal morphology","DESCRIPTION_FULL":"An abnormality of the Meninges, including any abnormality of the Dura mater, the Arachnoid mater, and the Pia mater. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_DURA_MATER_MORPHOLOGY","SYSTEMATIC_NAME":"M37611","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010652","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010652","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal dura mater morphology","DESCRIPTION_FULL":"An abnormality of the Dura mater. [HPO:probinson]"}
{"STANDARD_NAME":"HP_EPIPHYSEAL_STIPPLING","SYSTEMATIC_NAME":"M37612","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010655","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010655","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Epiphyseal stippling","DESCRIPTION_FULL":"The presence of abnormal punctate (speckled, dot-like) calcifications in one or more epiphyses. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_EPIPHYSEAL_OSSIFICATION","SYSTEMATIC_NAME":"M37613","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010656","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010656","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal epiphyseal ossification","DESCRIPTION_FULL":"An abnormality of the formation and mineralization of an epiphysis. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PATCHY_CHANGES_OF_BONE_MINERAL_DENSITY","SYSTEMATIC_NAME":"M37614","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010658","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010658","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Patchy changes of bone mineral density","DESCRIPTION_FULL":"Patchy (irregular) changes in bone mineral density. These changes can either be patchy reduction or increase of mineral density as seen on x-rays. Depending on the pathomechanism and the underlying disease, these changes can either appear solely as reduction or increase or as a combination of both (patches of bone showing an increased density while others are affected by reduction of mineral density). [HPO:curators]"}
{"STANDARD_NAME":"HP_ABNORMAL_HAND_BONE_OSSIFICATION","SYSTEMATIC_NAME":"M37615","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010660","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010660","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal hand bone ossification","DESCRIPTION_FULL":"An abnormality of the formation and mineralization of any bone of the skeleton of hand. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_DIENCEPHALON","SYSTEMATIC_NAME":"M37616","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010662","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010662","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the diencephalon","DESCRIPTION_FULL":"An abnormality of the Diencephalon, which together with the cerebrum (telencephalon) makes up the forebrain. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THALAMUS_MORPHOLOGY","SYSTEMATIC_NAME":"M37617","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010663","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010663","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of thalamus morphology","DESCRIPTION_FULL":"An abnormality of the thalamus. [HPO:probinson]"}
{"STANDARD_NAME":"HP_BILATERAL_COXA_VALGA","SYSTEMATIC_NAME":"M37618","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010665","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010665","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Bilateral coxa valga","DESCRIPTION_FULL":"The presence of bilateral coxa valga. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_ZYGOMATIC_BONE","SYSTEMATIC_NAME":"M37619","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010668","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010668","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the zygomatic bone","DESCRIPTION_FULL":"An abnormality of the zygomatic bone. [HPO:curators]"}
{"STANDARD_NAME":"HP_HYPOPLASIA_OF_THE_ZYGOMATIC_BONE","SYSTEMATIC_NAME":"M37620","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010669","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010669","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypoplasia of the zygomatic bone","DESCRIPTION_FULL":"Underdevelopment of the zygomatic bone. That is, a reduction in size of the zygomatic bone, including the zygomatic process of the temporal bone of the skull, which forms part of the zygomatic arch. [HPO:probinson, ORCID:0000-0001-5889-4463, PMID:19125436]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_CURVATURE_OF_THE_VERTEBRAL_COLUMN","SYSTEMATIC_NAME":"M37621","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010674","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010674","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the curvature of the vertebral column","DESCRIPTION_FULL":"The presence of an abnormal curvature of the vertebral column. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_FOOT_BONE_OSSIFICATION","SYSTEMATIC_NAME":"M37622","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010675","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010675","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal foot bone ossification","DESCRIPTION_FULL":"An abnormality of the formation and mineralization of any bone of the skeleton of foot. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ENURESIS_NOCTURNA","SYSTEMATIC_NAME":"M37623","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010677","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010677","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Enuresis nocturna","DESCRIPTION_FULL":"Enuresis occurring during sleeping hours. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_ELEVATED_TISSUE_NON_SPECIFIC_ALKALINE_PHOSPHATASE","SYSTEMATIC_NAME":"M37624","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010679","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010679","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Elevated tissue non-specific alkaline phosphatase","DESCRIPTION_FULL":"An abnormally increased level of alkaline phosphatase, tissue-nonspecific isozyme in the blood. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PULVERULENT_CATARACT","SYSTEMATIC_NAME":"M37625","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010693","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010693","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pulverulent cataract","DESCRIPTION_FULL":"A kind of congenital cataract that is characterized by a hollow sphere of punctate opacities involving the fetal nucleus and that usually occurs bilaterally. [HPO:probinson, HPO:vkumar]"}
{"STANDARD_NAME":"HP_POLAR_CATARACT","SYSTEMATIC_NAME":"M37626","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010696","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010696","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Polar cataract","DESCRIPTION_FULL":"A type of Congenital cataract in which the opacities occupy the subcapsular cortex at the anterior or posterior pole of the lens. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INCREASED_CIRCULATING_ANTIBODY_LEVEL","SYSTEMATIC_NAME":"M37627","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010702","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010702","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased circulating antibody level","DESCRIPTION_FULL":"An increased level of gamma globulin (immunoglobulin) in the blood. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_HAIR_TEXTURE","SYSTEMATIC_NAME":"M37628","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010719","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010719","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of hair texture","DESCRIPTION_FULL":"An abnormality of the texture of the hair. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_HAIR_PATTERN","SYSTEMATIC_NAME":"M37629","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010720","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010720","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal hair pattern","DESCRIPTION_FULL":"An abnormality of the distribution of hair growth. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_HAIR_WHORL","SYSTEMATIC_NAME":"M37630","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010721","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010721","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal hair whorl","DESCRIPTION_FULL":"An abnormal hair whorl (that is, a patch of hair growing in the opposite direction of the rest of the hair). [HPO:probinson]"}
{"STANDARD_NAME":"HP_ASYMMETRY_OF_THE_EARS","SYSTEMATIC_NAME":"M41396","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010722","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010722","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Asymmetry of the ears","DESCRIPTION_FULL":"An asymmetriy, i.e., difference in size, shape or position between the left and right ear. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CHERRY_RED_SPOT_OF_THE_MACULA","SYSTEMATIC_NAME":"M37631","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010729","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010729","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cherry red spot of the macula","DESCRIPTION_FULL":"Pallor of the perifoveal macula of the retina with appearance of a small circular reddish choroid shape as seen through the fovea centralis due to relative transparancy of the macula. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NAEVUS_FLAMMEUS_OF_THE_EYELID","SYSTEMATIC_NAME":"M37632","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010733","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010733","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Naevus flammeus of the eyelid","DESCRIPTION_FULL":"Naevus flammeus localised in the skin of the eyelid. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_PEDAL_EDEMA","SYSTEMATIC_NAME":"M37633","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010741","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010741","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pedal edema","DESCRIPTION_FULL":"An abnormal accumulation of excess fluid in the lower extremity resulting in swelling of the feet and extending upward to the lower leg. [HPO:probinson]"}
{"STANDARD_NAME":"HP_APLASIA_OF_THE_PHALANGES_OF_THE_TOES","SYSTEMATIC_NAME":"M37634","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010745","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010745","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia of the phalanges of the toes","DESCRIPTION_FULL":"Absence of a digit or of one or more phalanges of a toe. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MEDIAL_FLARING_OF_THE_EYEBROW","SYSTEMATIC_NAME":"M37636","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010747","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010747","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Medial flaring of the eyebrow","DESCRIPTION_FULL":"An abnormal distribution of eyebrow hair growth in the medial direction. [HPO:probinson]"}
{"STANDARD_NAME":"HP_BLEPHAROCHALASIS","SYSTEMATIC_NAME":"M41397","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010749","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010749","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Blepharochalasis","DESCRIPTION_FULL":"Blepharochalasis is characterized by recurrent, non-painful, nonerythematous episodes of eyelid edema. It has been divided into hypertrophic and atrophic forms. In the hypertrophic form recurrent edema results in orbital fat herniation through a weakened orbital septum. Most patients who have blepharochalasis present in an atrophic condition with atrophy of redundant eyelid skin and superior nasal fat pads. [PMID:3207663]"}
{"STANDARD_NAME":"HP_DERMATOCHALASIS","SYSTEMATIC_NAME":"M41398","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010750","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010750","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Dermatochalasis","DESCRIPTION_FULL":"Loss of elasticity of the upper and lower eyelids causing the skin to sag and bulge. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DIMPLE_CHIN","SYSTEMATIC_NAME":"M37637","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010751","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010751","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Dimple chin","DESCRIPTION_FULL":"A persistent midline depression of the skin over the fat pad of the chin. [PMID:19125436]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_TEMPOROMANDIBULAR_JOINT","SYSTEMATIC_NAME":"M37638","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010754","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010754","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the temporomandibular joint","DESCRIPTION_FULL":"An anomaly of the temporomandibular joint. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_PREMAXILLA","SYSTEMATIC_NAME":"M37639","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010758","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010758","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the premaxilla","DESCRIPTION_FULL":"An abnormality of the premaxilla, the most anterior part of the maxilla that usually bears the central and lateral incisors and includes the anterior nasal spine and inferior aspect of the piriform rim. The premaxilla contains the bone and teeth of the primary palate. [HPO:sdoelken, ORCID:0000-0001-5889-4463]"}
{"STANDARD_NAME":"HP_PROMINENCE_OF_THE_PREMAXILLA","SYSTEMATIC_NAME":"M37640","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010759","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010759","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Prominence of the premaxilla","DESCRIPTION_FULL":"Prominent positioning of the premaxilla in relation to the rest of the maxilla, the facial skeleton, or mandible. Not necessarily caused by an increase in size (hypertrophy of) the premaxilla. [HPO:sdoelken, ORCID:0000-0001-5889-4463, PMID:19125436]"}
{"STANDARD_NAME":"HP_ABSENT_TOE","SYSTEMATIC_NAME":"M37641","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010760","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010760","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Absent toe","DESCRIPTION_FULL":"Aplasia of a toe. That is, absence of all phalanges of a non-hallux digit of the foot and the associated soft tissues. [HPO:probinson]"}
{"STANDARD_NAME":"HP_BROAD_COLUMELLA","SYSTEMATIC_NAME":"M37642","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010761","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010761","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Broad columella","DESCRIPTION_FULL":"Increased width of the columella. [PMID:19152422]"}
{"STANDARD_NAME":"HP_PALMAR_HYPERKERATOSIS","SYSTEMATIC_NAME":"M37643","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010765","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010765","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Palmar hyperkeratosis","DESCRIPTION_FULL":"Hyperkeratosis affecting the palm of the hand. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ECTOPIC_CALCIFICATION","SYSTEMATIC_NAME":"M37644","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010766","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010766","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ectopic calcification","DESCRIPTION_FULL":"Deposition of calcium salts in a tissue or location in which calcification does not normally occur. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPERACUSIS","SYSTEMATIC_NAME":"M37646","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010780","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010780","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hyperacusis","DESCRIPTION_FULL":"Over-sensitivity to certain frequency ranges of sound. [HPO:probinson, PMID:14647932, PMID:31669363]"}
{"STANDARD_NAME":"HP_SKIN_DIMPLE","SYSTEMATIC_NAME":"M37647","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010781","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010781","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Skin dimple","DESCRIPTION_FULL":"Skin dimples are cutaneous indentations that are the result of tethering of the skin to underlying structures (bone) causing an indentation. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ERYTHEMA","SYSTEMATIC_NAME":"M37648","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010783","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010783","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Erythema","DESCRIPTION_FULL":"Redness of the skin, caused by hyperemia of the capillaries in the lower layers of the skin. [HPO:probinson]"}
{"STANDARD_NAME":"HP_GONADAL_NEOPLASM","SYSTEMATIC_NAME":"M37649","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010785","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010785","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Gonadal neoplasm","DESCRIPTION_FULL":"A tumor (abnormal growth of tissue) of a gonad. [HPO:probinson]"}
{"STANDARD_NAME":"HP_URINARY_TRACT_NEOPLASM","SYSTEMATIC_NAME":"M37650","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010786","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010786","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Urinary tract neoplasm","DESCRIPTION_FULL":"The presence of a neoplasm of the urinary system. [HPO:probinson]"}
{"STANDARD_NAME":"HP_GENITAL_NEOPLASM","SYSTEMATIC_NAME":"M37651","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010787","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010787","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Genital neoplasm","DESCRIPTION_FULL":"A tumor (abnormal growth of tissue) of the genital system. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_LEYDIG_CELLS","SYSTEMATIC_NAME":"M37652","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010789","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010789","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the Leydig cells"}
{"STANDARD_NAME":"HP_IMPAIRED_VISUOSPATIAL_CONSTRUCTIVE_COGNITION","SYSTEMATIC_NAME":"M37653","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010794","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010794","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Impaired visuospatial constructive cognition","DESCRIPTION_FULL":"Reduced ability affecting mainly visuospatial cognition which may be tested using pattern construction (for example by Differential Ability Scales, which test a person's strengths and weaknesses across a range of intellectual abilities). [HPO:sdoelken, PMID:10521286]"}
{"STANDARD_NAME":"HP_HEMANGIOBLASTOMA","SYSTEMATIC_NAME":"M37654","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010797","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010797","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hemangioblastoma","DESCRIPTION_FULL":"A hemangioblastoma is a benign vascular neoplasm that arises almost exclusively in the central nervous system. Hemangioblastomas consist of a tightly packed cluster of small blood vessels forming a mass of up to 1 or 2 cm in diameter. [HPO:probinson]"}
{"STANDARD_NAME":"HP_EVERTED_UPPER_LIP_VERMILION","SYSTEMATIC_NAME":"M37655","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010803","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010803","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Everted upper lip vermilion","DESCRIPTION_FULL":"Inner aspect of the upper lip vermilion (normally apposing the teeth) visible in a frontal view, i.e., the presence of an everted upper lip. [HPO:probinson, PMID:19125428]"}
{"STANDARD_NAME":"HP_TENTED_UPPER_LIP_VERMILION","SYSTEMATIC_NAME":"M37656","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010804","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010804","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Tented upper lip vermilion","DESCRIPTION_FULL":"Triangular appearance of the oral aperture with the apex in the midpoint of the upper vermilion and the lower vermilion forming the base. [PMID:19125428]"}
{"STANDARD_NAME":"HP_U_SHAPED_UPPER_LIP_VERMILION","SYSTEMATIC_NAME":"M37657","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010806","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010806","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"U-Shaped upper lip vermilion","DESCRIPTION_FULL":"Gentle upward curve of the upper lip vermilion such that the center is placed well superior to the commissures. [PMID:19125428]"}
{"STANDARD_NAME":"HP_OPEN_BITE","SYSTEMATIC_NAME":"M37658","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010807","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010807","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Open bite","DESCRIPTION_FULL":"Visible space between the dental arches in occlusion. [PMID:19125428]"}
{"STANDARD_NAME":"HP_PROTRUDING_TONGUE","SYSTEMATIC_NAME":"M37659","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010808","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010808","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Protruding tongue","DESCRIPTION_FULL":"Tongue extending beyond the alveolar ridges or teeth at rest. [PMID:19125428]"}
{"STANDARD_NAME":"HP_EPIDERMAL_NEVUS","SYSTEMATIC_NAME":"M37660","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010816","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010816","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Epidermal nevus","DESCRIPTION_FULL":"Epidermal naevi are due to an overgrowth of the epidermis and may be present at birth (50%) or develop during childhood. [HPO:probinson, PMID:20542174]"}
{"STANDARD_NAME":"HP_ATONIC_SEIZURE","SYSTEMATIC_NAME":"M37661","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010819","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010819","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Atonic seizure","DESCRIPTION_FULL":"Atonic seizure is a type of motor seizure characterized by a sudden loss or diminution of muscle tone without apparent preceding myoclonic or tonic event lasting about 1 to 2 seconds, involving head, trunk, jaw, or limb musculature. [HPO:jalbers, HPO:probinson, ORCID:0000-0002-1735-8178, PMID:11580774]"}
{"STANDARD_NAME":"HP_HEMIFACIAL_SPASM","SYSTEMATIC_NAME":"M37662","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010828","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010828","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hemifacial spasm","DESCRIPTION_FULL":"Intermittent clonic or tonic contraction of muscles supplied by facial nerve. Muscles are relaxed in between contractions. [HPO:probinson, PMID:12145388]"}
{"STANDARD_NAME":"HP_IMPAIRED_TEMPERATURE_SENSATION","SYSTEMATIC_NAME":"M37663","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010829","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010829","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Impaired temperature sensation","DESCRIPTION_FULL":"A reduced ability to discriminate between different temperatures. [HPO:probinson]"}
{"STANDARD_NAME":"HP_IMPAIRED_TACTILE_SENSATION","SYSTEMATIC_NAME":"M37664","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010830","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010830","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Impaired tactile sensation","DESCRIPTION_FULL":"A reduced sense of touch (tactile sensation). This is usually tested with a wisp of cotton or a fine camel's hair brush, by asking patients to say 'now' each time they feel the stimulus. [HPO:probinson]"}
{"STANDARD_NAME":"HP_IMPAIRED_PROPRIOCEPTION","SYSTEMATIC_NAME":"M37665","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010831","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010831","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Impaired proprioception","DESCRIPTION_FULL":"A loss or impairment of the sensation of the relative position of parts of the body and joint position. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_PAIN_SENSATION","SYSTEMATIC_NAME":"M37666","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010832","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010832","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of pain sensation","DESCRIPTION_FULL":"Pain is an unpleasant sensation that can range from mild, localized discomfort to agony, whereby the physical part of pain results from nerve stimulation and is often accompanied by an emotional component. This term groups abnormalities in pain sensation presumed to result from abnormalities related to the specific nerve fibers that carry the pain impulses to the brain. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SPONTANEOUS_PAIN_SENSATION","SYSTEMATIC_NAME":"M41399","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010833","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010833","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Spontaneous pain sensation","DESCRIPTION_FULL":"Spontaneous pain is a kind of neuropathic pain which occurs without an identifiable trigger. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_CIRCULATING_COPPER_CONCENTRATION","SYSTEMATIC_NAME":"M37667","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010836","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010836","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal circulating copper concentration","DESCRIPTION_FULL":"An abnormal concentration of copper. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MULTIFOCAL_EPILEPTIFORM_DISCHARGES","SYSTEMATIC_NAME":"M37669","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010841","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010841","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Multifocal epileptiform discharges","DESCRIPTION_FULL":"An abnormality in cerebral electrical activity recorded along the scalp by electroencephalography (EEG) and being identified at multiple locations (foci). [HPO:probinson]"}
{"STANDARD_NAME":"HP_EEG_WITH_MULTIFOCAL_SLOW_ACTIVITY","SYSTEMATIC_NAME":"M37670","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010844","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010844","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"EEG with multifocal slow activity","DESCRIPTION_FULL":"Multifocal slowing of cerebral electrical activity recorded along the scalp by electroencephalography (EEG). [HPO:jalbers]"}
{"STANDARD_NAME":"HP_EEG_WITH_GENERALIZED_SLOW_ACTIVITY","SYSTEMATIC_NAME":"M37671","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010845","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010845","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"EEG with generalized slow activity","DESCRIPTION_FULL":"Diffuse slowing of cerebral electrical activity recorded along the scalp by electroencephalography (EEG). [HPO:probinson]"}
{"STANDARD_NAME":"HP_EEG_WITH_SPIKE_WAVE_COMPLEXES_2_5_3_5_HZ","SYSTEMATIC_NAME":"M41400","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010848","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010848","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"EEG with spike-wave complexes (2.5-3.5 Hz)","DESCRIPTION_FULL":"The presence of complexes of spikes and waves (2.5-3.5 Hz) in electroencephalography (EEG). [HPO:probinson]"}
{"STANDARD_NAME":"HP_EEG_WITH_SPIKE_WAVE_COMPLEXES_3_5_HZ","SYSTEMATIC_NAME":"M37672","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010849","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010849","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"EEG with spike-wave complexes (>3.5 Hz)","DESCRIPTION_FULL":"The presence of complexes of spikes and waves (>3.5 Hz) in electroencephalography (EEG). [HPO:probinson]"}
{"STANDARD_NAME":"HP_EEG_WITH_SPIKE_WAVE_COMPLEXES","SYSTEMATIC_NAME":"M37673","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010850","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010850","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"EEG with spike-wave complexes","DESCRIPTION_FULL":"Complexes of spikes (<70 ms) and sharp waves (70-200 ms), which are sharp transient waves that have a strong association with epilepsy, in cerebral electrical activity recorded along the scalp by electroencephalography (EEG). [HPO:probinson]"}
{"STANDARD_NAME":"HP_EEG_WITH_BURST_SUPPRESSION","SYSTEMATIC_NAME":"M37674","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010851","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010851","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"EEG with burst suppression","DESCRIPTION_FULL":"The burst suppression pattern in electroencephalography refers to a characteristic periodic pattern of low voltage (<10 microvolts) suppressed background and a relatively shorter pattern of higher amplitude slow, sharp, and spiking complexes. [HPO:probinson, PMID:22323592]"}
{"STANDARD_NAME":"HP_DELAYED_FINE_MOTOR_DEVELOPMENT","SYSTEMATIC_NAME":"M37675","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010862","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010862","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Delayed fine motor development","DESCRIPTION_FULL":"A type of motor delay characterized by a delay in acquiring the ability to control the fingers and hands. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RECEPTIVE_LANGUAGE_DELAY","SYSTEMATIC_NAME":"M37676","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010863","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010863","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Receptive language delay","DESCRIPTION_FULL":"A delay in the acquisition of the ability to understand the speech of others. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INTELLECTUAL_DISABILITY_SEVERE","SYSTEMATIC_NAME":"M37677","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010864","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010864","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Intellectual disability, severe","DESCRIPTION_FULL":"Severe mental retardation is defined as an intelligence quotient (IQ) in the range of 20-34. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SENSORY_ATAXIA","SYSTEMATIC_NAME":"M37678","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010871","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010871","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Sensory ataxia","DESCRIPTION_FULL":"Incoordination of movement caused by a deficit in the sensory nervous system. Sensory ataxia can be distinguished from cerebellar ataxia by asking the patient to close his or her eyes. Persons with cerebellar ataxia show only a minimal worsening of symptoms, whereas persons with sensory ataxia show a marked worsening of symptoms. [HPO:probinson]"}
{"STANDARD_NAME":"HP_TENDON_XANTHOMATOSIS","SYSTEMATIC_NAME":"M37679","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010874","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010874","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Tendon xanthomatosis","DESCRIPTION_FULL":"The presence of xanthomas (intra-and extra-cellular accumulations of cholesterol) extensor tendons (typically over knuckles, Achilles tendon, knee, and elbows). [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_CIRCULATING_PROTEIN_CONCENTRATION","SYSTEMATIC_NAME":"M37680","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010876","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010876","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal circulating protein concentration","DESCRIPTION_FULL":"An abnormal level of a circulating protein in the blood. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INCREASED_NUCHAL_TRANSLUCENCY","SYSTEMATIC_NAME":"M37681","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010880","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010880","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased nuchal translucency","DESCRIPTION_FULL":"The presence of an abnormally large hypoechoic space in the posterior fetal neck (usually detected on prenatal ultrasound examination). [HPO:probinson, PMID:12751779]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_UMBILICAL_CORD","SYSTEMATIC_NAME":"M37682","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010881","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010881","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the umbilical cord","DESCRIPTION_FULL":"An abnormality of the umbilical cord, which is the cord connecting the developing embryo or fetus to the placenta. [HPO:probinson]"}
{"STANDARD_NAME":"HP_AVASCULAR_NECROSIS","SYSTEMATIC_NAME":"M37683","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010885","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010885","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Avascular necrosis","DESCRIPTION_FULL":"A disease where there is cellular death (necrosis) of bone components due to interruption of the blood supply. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_ABNORMAL_CIRCULATING_BRANCHED_CHAIN_AMINO_ACID_CONCENTRATION","SYSTEMATIC_NAME":"M37684","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010892","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010892","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal circulating branched chain amino acid concentration","DESCRIPTION_FULL":"Any deviation from the normal concentration of a branched chain family amino acid in the blood circulation. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_CIRCULATING_PHENYLALANINE_CONCENTRATION","SYSTEMATIC_NAME":"M37685","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010893","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010893","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal circulating phenylalanine concentration","DESCRIPTION_FULL":"Any deviation from the normal concentration of phenylalanine in the blood circulation. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_CIRCULATING_SERINE_FAMILY_AMINO_ACID_CONCENTRATION","SYSTEMATIC_NAME":"M37686","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010894","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010894","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal circulating serine family amino acid concentration","DESCRIPTION_FULL":"Any deviation from the normal concentration of a serine family amino acid in the blood circulation. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_CIRCULATING_GLYCINE_CONCENTRATION","SYSTEMATIC_NAME":"M37687","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010895","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010895","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal circulating glycine concentration","DESCRIPTION_FULL":"Any deviation from the normal concentration of glycine in the blood circulation. [HPO:gcarletti]"}
{"STANDARD_NAME":"HP_ABNORMAL_CIRCULATING_ASPARTATE_FAMILY_AMINO_ACID_CONCENTRATION","SYSTEMATIC_NAME":"M37688","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010899","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010899","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal circulating aspartate family amino acid concentration","DESCRIPTION_FULL":"Any deviation from the normal concentration of an aspartate family amino acid in the blood circulation. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_CIRCULATING_GLUTAMINE_FAMILY_AMINO_ACID_CONCENTRATION","SYSTEMATIC_NAME":"M37690","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010902","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010902","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal circulating glutamine family amino acid concentration","DESCRIPTION_FULL":"Any deviation from the normal concentration of a glutamine family amino acid in the blood circulation. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_CIRCULATING_GLUTAMINE_CONCENTRATION","SYSTEMATIC_NAME":"M37691","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010903","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010903","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal circulating glutamine concentration","DESCRIPTION_FULL":"Any deviation from the normal concentration of glutamine in the blood circulation. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_CIRCULATING_PROLINE_CONCENTRATION","SYSTEMATIC_NAME":"M37692","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010907","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010907","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal circulating proline concentration","DESCRIPTION_FULL":"Any deviation from the normal concentration of proline or a proline metabolite in the blood circulation. [HPO:gcarletti]"}
{"STANDARD_NAME":"HP_ABNORMAL_CIRCULATING_ARGININE_CONCENTRATION","SYSTEMATIC_NAME":"M37693","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010909","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010909","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal circulating arginine concentration","DESCRIPTION_FULL":"Any deviation from the normal concentration of arginine in the blood circulation. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_CIRCULATING_PYRUVATE_FAMILY_AMINO_ACID_CONCENTRATION","SYSTEMATIC_NAME":"M37694","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010915","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010915","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal circulating pyruvate family amino acid concentration","DESCRIPTION_FULL":"An abnormality of a pyruvate family amino acid metabolic process. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_CIRCULATING_TYROSINE_CONCENTRATION","SYSTEMATIC_NAME":"M37695","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010917","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010917","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal circulating tyrosine concentration","DESCRIPTION_FULL":"Any deviation from the normal concentration of tyrosine in the blood circulation. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ZONULAR_CATARACT","SYSTEMATIC_NAME":"M37696","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010920","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010920","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Zonular cataract","DESCRIPTION_FULL":"Zonular cataracts are defined to be cataracts that affect specific regions of the lens. [HPO:probinson, HPO:vkumar, PMID:18035564]"}
{"STANDARD_NAME":"HP_ABNORMAL_BLOOD_INORGANIC_CATION_CONCENTRATION","SYSTEMATIC_NAME":"M37697","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010927","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010927","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal blood inorganic cation concentration","DESCRIPTION_FULL":"An abnormality of divalent inorganic cation homeostasis. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_BLOOD_MONOVALENT_INORGANIC_CATION_CONCENTRATION","SYSTEMATIC_NAME":"M37698","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010930","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010930","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal blood monovalent inorganic cation concentration","DESCRIPTION_FULL":"An abnormality of monovalent inorganic cation homeostasis. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_BLOOD_SODIUM_CONCENTRATION","SYSTEMATIC_NAME":"M37699","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010931","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010931","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal blood sodium concentration","DESCRIPTION_FULL":"An abnormal concentration of sodium. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_CIRCULATING_NUCLEOBASE_CONCENTRATION","SYSTEMATIC_NAME":"M41401","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010932","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010932","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal circulating nucleobase concentration","DESCRIPTION_FULL":"An abnormality of a nucleobase metabolic process. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_UPPER_URINARY_TRACT","SYSTEMATIC_NAME":"M37700","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010935","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010935","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the upper urinary tract","DESCRIPTION_FULL":"An abnormality of the upper urinary tract. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_LOWER_URINARY_TRACT","SYSTEMATIC_NAME":"M37701","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010936","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010936","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the lower urinary tract","DESCRIPTION_FULL":"An abnormality of the lower urinary tract. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_NASAL_SKELETON","SYSTEMATIC_NAME":"M37702","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010937","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010937","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the nasal skeleton","DESCRIPTION_FULL":"An abnormality of the nasal skeleton. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_EXTERNAL_NOSE","SYSTEMATIC_NAME":"M37703","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010938","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010938","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the external nose","DESCRIPTION_FULL":"An abnormality of the external nose. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_NASAL_BONE","SYSTEMATIC_NAME":"M37704","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010939","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010939","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the nasal bone","DESCRIPTION_FULL":"An abnormality of the nasal bone, comprising the left nasal bone and the right nasal bone. [HPO:probinson]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_NASAL_BONE","SYSTEMATIC_NAME":"M41402","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010940","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010940","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the nasal bone","DESCRIPTION_FULL":"Absence or underdevelopment of the nasal bone. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_RENAL_PELVIS_MORPHOLOGY","SYSTEMATIC_NAME":"M37705","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010944","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010944","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal renal pelvis morphology","DESCRIPTION_FULL":"An abnormality of the renal pelvis. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_FETAL_CARDIOVASCULAR_SYSTEM","SYSTEMATIC_NAME":"M37706","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010948","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010948","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the fetal cardiovascular system","DESCRIPTION_FULL":"An abnormality of the fetal circulation system or fetal echocardiogram. [DDD:dbrown, HPO:probinson]"}
{"STANDARD_NAME":"HP_DILATATION_OF_THE_BLADDER","SYSTEMATIC_NAME":"M37707","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010955","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010955","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Dilatation of the bladder","DESCRIPTION_FULL":"The presence of a dilated urinary bladder. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CONGENITAL_POSTERIOR_URETHRAL_VALVE","SYSTEMATIC_NAME":"M41403","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010957","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010957","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Congenital posterior urethral valve","DESCRIPTION_FULL":"A developmental defect resulting in an obstructing membrane in the posterior male urethra. [eMedicine:1016086, HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_CIRCULATING_LONG_CHAIN_FATTY_ACID_CONCENTRATION","SYSTEMATIC_NAME":"M37708","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010964","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010964","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal circulating long-chain fatty-acid concentration","DESCRIPTION_FULL":"Any deviation from the normal concentration of a long-chain fatty acid in the blood circulation. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_CIRCULATING_FATTY_ACID_ANION_CONCENTRATION","SYSTEMATIC_NAME":"M37709","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010966","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010966","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal circulating fatty-acid anion concentration","DESCRIPTION_FULL":"Any deviation from the normal concentration of a fatty acid anion in the blood circulation. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ANEMIA_OF_INADEQUATE_PRODUCTION","SYSTEMATIC_NAME":"M37710","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010972","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010972","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Anemia of inadequate production","DESCRIPTION_FULL":"A kind of anemia characterized by inadequate production of erythrocytes. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_MYELOID_LEUKOCYTE_MORPHOLOGY","SYSTEMATIC_NAME":"M37711","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010974","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010974","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal myeloid leukocyte morphology","DESCRIPTION_FULL":"An abnormality of myeloid leukocytes. [HPO:probinson]"}
{"STANDARD_NAME":"HP_B_LYMPHOCYTOPENIA","SYSTEMATIC_NAME":"M37712","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010976","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010976","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"B lymphocytopenia","DESCRIPTION_FULL":"An abnormal decrease from the normal count of B cells. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_LIPOPROTEIN_CHOLESTEROL_CONCENTRATION","SYSTEMATIC_NAME":"M37714","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010979","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010979","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of lipoprotein cholesterol concentration","DESCRIPTION_FULL":"An abnormal increase or decrease in the level of lipoprotein cholesterol in the blood. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPERLIPOPROTEINEMIA","SYSTEMATIC_NAME":"M37715","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010980","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010980","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hyperlipoproteinemia","DESCRIPTION_FULL":"An abnormal increase in the level of lipoprotein cholesterol in the blood. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPOLIPOPROTEINEMIA","SYSTEMATIC_NAME":"M37716","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010981","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010981","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypolipoproteinemia","DESCRIPTION_FULL":"An abnormal decrease in the level of lipoprotein cholesterol in the blood. [HPO:proteinemia]"}
{"STANDARD_NAME":"HP_POLYGENIC_INHERITANCE","SYSTEMATIC_NAME":"M37717","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010982","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010982","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Polygenic inheritance","DESCRIPTION_FULL":"A type of multifactorial inheritance governed by the simultaneous action of many (more than three) gene loci. [HPO:probinson, ISBN:978-0192628961]"}
{"STANDARD_NAME":"HP_DIGENIC_INHERITANCE","SYSTEMATIC_NAME":"M37718","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010984","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010984","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Digenic inheritance","DESCRIPTION_FULL":"A type of multifactorial inheritance governed by the simultaneous action of two gene loci. [HPO:probinson, ISBN:978-0192628961]"}
{"STANDARD_NAME":"HP_GONOSOMAL_INHERITANCE","SYSTEMATIC_NAME":"M37719","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010985","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010985","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Gonosomal inheritance","DESCRIPTION_FULL":"A mode of inheritance that is observed for traits related to a gene encoded on the sex chromosomes. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_EXTRINSIC_PATHWAY","SYSTEMATIC_NAME":"M37720","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010988","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010988","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the extrinsic pathway","DESCRIPTION_FULL":"An abnormality of the extrinsic pathway (also known as the tissue factor pathway) of the coagulation cascade. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_INTRINSIC_PATHWAY","SYSTEMATIC_NAME":"M37721","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010989","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010989","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the intrinsic pathway","DESCRIPTION_FULL":"An abnormality of the intrinsic pathway (also known as the contact activation pathway) of the coagulation cascade. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_COMMON_COAGULATION_PATHWAY","SYSTEMATIC_NAME":"M37722","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010990","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010990","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the common coagulation pathway","DESCRIPTION_FULL":"An abnormality of blood coagulation, common pathway. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_MORPHOLOGY_OF_THE_ABDOMINAL_MUSCULATURE","SYSTEMATIC_NAME":"M37723","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010991","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010991","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal morphology of the abdominal musculature","DESCRIPTION_FULL":"An abnormality of the abdominal musculature. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_CEREBRAL_SUBCORTEX","SYSTEMATIC_NAME":"M37724","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010993","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010993","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the cerebral subcortex","DESCRIPTION_FULL":"An abnormality of the cerebral subcortex. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_CORPUS_STRIATUM_MORPHOLOGY","SYSTEMATIC_NAME":"M37725","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010994","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010994","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal corpus striatum morphology","DESCRIPTION_FULL":"Abnormality of the striatum, which is the largest nucleus of the basal ganglia, comprising the caudate, putamen and ventral striatum, including the nucleus accumbens. [HPO:probinson, PMID:21469956]"}
{"STANDARD_NAME":"HP_ABNORMAL_CIRCULATING_DICARBOXYLIC_ACID_CONCENTRATION","SYSTEMATIC_NAME":"M41404","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010995","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010995","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal circulating dicarboxylic acid concentration","DESCRIPTION_FULL":"Any deviation from the normal concentration of a dicarboxylic acid in the blood circulation. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_CIRCULATING_MONOCARBOXYLIC_ACID_COCENTRATION","SYSTEMATIC_NAME":"M37726","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010996","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010996","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal circulating monocarboxylic acid cocentration","DESCRIPTION_FULL":"Any deviation from the normal concentration of a monocarboxylic acid in the blood circulation. [HPO:gcarletti]"}
{"STANDARD_NAME":"HP_CHROMOSOMAL_BREAKAGE_INDUCED_BY_IONIZING_RADIATION","SYSTEMATIC_NAME":"M37727","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0010997","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0010997","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Chromosomal breakage induced by ionizing radiation","DESCRIPTION_FULL":"Increased amount of chromosomal breaks in cultured blood lymphocytes or other cells induced by treatment with ionizing radiation. [HPO:sdoelken, PMID:16814619]"}
{"STANDARD_NAME":"HP_INCREASED_BONE_MINERAL_DENSITY","SYSTEMATIC_NAME":"M37728","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011001","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011001","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased bone mineral density","DESCRIPTION_FULL":"An abnormal increase of bone mineral density, that is, of the amount of matter per cubic centimeter of bones which is often referred to as osteosclerosis. Osteosclerosis can be detected on radiological examination as an increased whiteness (density) of affected bones. [HPO:probinson]"}
{"STANDARD_NAME":"HP_OSTEOPETROSIS","SYSTEMATIC_NAME":"M37729","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011002","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011002","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Osteopetrosis","DESCRIPTION_FULL":"Abnormally increased formation of dense trabecular bone tissue. Despite the increased density of bone tissue, osteopetrotic bones tend to be more fracture-prone than normal. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HIGH_MYOPIA","SYSTEMATIC_NAME":"M37730","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011003","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011003","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"High myopia","DESCRIPTION_FULL":"A severe form of myopia with greater than -6.00 diopters. [DDD:ncarter]"}
{"STANDARD_NAME":"HP_ABNORMAL_SYSTEMIC_ARTERIAL_MORPHOLOGY","SYSTEMATIC_NAME":"M37731","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011004","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011004","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal systemic arterial morphology","DESCRIPTION_FULL":"An abnormality of the systemic arterial tree, which consists of the aorta and other systemic arteries. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_MORPHOLOGY_OF_THE_MUSCULATURE_OF_THE_NECK","SYSTEMATIC_NAME":"M37732","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011006","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011006","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal morphology of the musculature of the neck","DESCRIPTION_FULL":"An abnormality of the neck musculature. [HPO:probinson]"}
{"STANDARD_NAME":"HP_TEMPORAL_PATTERN","SYSTEMATIC_NAME":"M37733","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011008","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011008","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Temporal pattern","DESCRIPTION_FULL":"The speed at which disease manifestations appear and develop. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_CIRCULATING_CARBOHYDRATE_CONCENTRATION","SYSTEMATIC_NAME":"M37734","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011013","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011013","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal circulating carbohydrate concentration","DESCRIPTION_FULL":"A deviation from the normal concentration of a carbohydrate in the blood circulation. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_GLUCOSE_HOMEOSTASIS","SYSTEMATIC_NAME":"M37735","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011014","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011014","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal glucose homeostasis","DESCRIPTION_FULL":"Abnormality of glucose homeostasis. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_BLOOD_GLUCOSE_CONCENTRATION","SYSTEMATIC_NAME":"M37736","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011015","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011015","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal blood glucose concentration","DESCRIPTION_FULL":"An abnormality of the concentration of glucose in the blood. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_CIRCULATING_ENZYME_LEVEL","SYSTEMATIC_NAME":"M37737","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011021","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011021","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of circulating enzyme level"}
{"STANDARD_NAME":"HP_ABNORMAL_CARDIOVASCULAR_SYSTEM_PHYSIOLOGY","SYSTEMATIC_NAME":"M37738","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011025","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011025","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal cardiovascular system physiology","DESCRIPTION_FULL":"Abnormal functionality of the cardiovascular system. [HPO:probinson]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_VAGINA","SYSTEMATIC_NAME":"M37739","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011026","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011026","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the vagina","DESCRIPTION_FULL":"Aplasia or developmental hypoplasia of the vagina. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_FALLOPIAN_TUBE_MORPHOLOGY","SYSTEMATIC_NAME":"M37740","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011027","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011027","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal fallopian tube morphology","DESCRIPTION_FULL":"An abnormality of the fallopian tube. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_BLOOD_CIRCULATION","SYSTEMATIC_NAME":"M37741","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011028","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011028","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of blood circulation","DESCRIPTION_FULL":"An abnormality of blood circulation. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_BLOOD_TRANSITION_ELEMENT_CATION_CONCENTRATION","SYSTEMATIC_NAME":"M37742","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011030","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011030","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal blood transition element cation concentration","DESCRIPTION_FULL":"An abnormality of the homeostasis (concentration) of transition element cation. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_IRON_HOMEOSTASIS","SYSTEMATIC_NAME":"M37743","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011031","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011031","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of iron homeostasis","DESCRIPTION_FULL":"An abnormality of the homeostasis (concentration) of iron cation. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_FLUID_REGULATION","SYSTEMATIC_NAME":"M37744","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011032","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011032","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of fluid regulation","DESCRIPTION_FULL":"An abnormality of the regulation of body fluids. [HPO:probinson]"}
{"STANDARD_NAME":"HP_AMYLOIDOSIS","SYSTEMATIC_NAME":"M37745","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011034","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011034","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Amyloidosis","DESCRIPTION_FULL":"The presence of amyloid deposition in one or more tissues. Amyloidosis may be defined as the extracellular deposition of amyloid in one or more sites of the body. [HPO:probinson, PMID:21039326]"}
{"STANDARD_NAME":"HP_ABNORMAL_RENAL_CORTEX_MORPHOLOGY","SYSTEMATIC_NAME":"M37746","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011035","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011035","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal renal cortex morphology","DESCRIPTION_FULL":"An abnormality of the cortex of the kidney. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_RENAL_EXCRETION","SYSTEMATIC_NAME":"M37747","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011036","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011036","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of renal excretion","DESCRIPTION_FULL":"An altered ability of the kidneys to void urine and/or specific substances. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DECREASED_URINE_OUTPUT","SYSTEMATIC_NAME":"M37748","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011037","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011037","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased urine output","DESCRIPTION_FULL":"A decreased rate of urine production. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_RENAL_RESORPTION","SYSTEMATIC_NAME":"M37749","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011038","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011038","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of renal resorption","DESCRIPTION_FULL":"An abnormality of renal absorption. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_HELIX","SYSTEMATIC_NAME":"M37750","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011039","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011039","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the helix","DESCRIPTION_FULL":"An abnormality of the helix. The helix is the outer rim of the ear that extends from the insertion of the ear on the scalp (root) to the termination of the cartilage at the earlobe. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_INTRAHEPATIC_BILE_DUCT","SYSTEMATIC_NAME":"M37751","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011040","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011040","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the intrahepatic bile duct","DESCRIPTION_FULL":"An abnormality of the intrahepatic bile duct. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_BLOOD_POTASSIUM_CONCENTRATION","SYSTEMATIC_NAME":"M37752","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011042","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011042","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal blood potassium concentration","DESCRIPTION_FULL":"An abnormal concentration of potassium. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_CIRCULATING_ADRENOCORTICOTROPIN_LEVEL","SYSTEMATIC_NAME":"M37753","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011043","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011043","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of circulating adrenocorticotropin level","DESCRIPTION_FULL":"An abnormal concentration of corticotropin in the blood. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_NUMBER_OF_PERMANENT_TEETH","SYSTEMATIC_NAME":"M37754","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011044","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011044","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal number of permanent teeth","DESCRIPTION_FULL":"The presence of an altered number of of permanent teeth. [HPO:ibailleulforestier]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_DENTAL_STRUCTURE","SYSTEMATIC_NAME":"M37755","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011061","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011061","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of dental structure","DESCRIPTION_FULL":"An abnormality of the structure or composition of the teeth. [HPO:ibailleulforestier]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_INCISOR_MORPHOLOGY","SYSTEMATIC_NAME":"M37756","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011063","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011063","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of incisor morphology","DESCRIPTION_FULL":"An abnormality of morphology of the incisor tooth. [HPO:ibailleulforestier]"}
{"STANDARD_NAME":"HP_ABNORMAL_NUMBER_OF_INCISORS","SYSTEMATIC_NAME":"M37757","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011064","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011064","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal number of incisors","DESCRIPTION_FULL":"The presence of an altered number of the incisor teeth. [HPO:ibailleulforestier]"}
{"STANDARD_NAME":"HP_CONICAL_INCISOR","SYSTEMATIC_NAME":"M37758","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011065","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011065","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Conical incisor","DESCRIPTION_FULL":"An abnormal conical morphology of the incisor tooth. [HPO:ibailleulforestier]"}
{"STANDARD_NAME":"HP_INCREASED_NUMBER_OF_TEETH","SYSTEMATIC_NAME":"M37759","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011069","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011069","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased number of teeth","DESCRIPTION_FULL":"The presence of a supernumerary, i.e., extra, tooth or teeth. [HPO:ibailleulforestier]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_DENTAL_COLOR","SYSTEMATIC_NAME":"M37760","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011073","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011073","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of dental color","DESCRIPTION_FULL":"A developmental defect of tooth color. [HPO:ibailleulforestier]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_CANINE","SYSTEMATIC_NAME":"M37762","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011078","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011078","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of canine","DESCRIPTION_FULL":"An abnormality of canine tooth. [HPO:ibailleulforestier]"}
{"STANDARD_NAME":"HP_IMPACTED_TOOTH","SYSTEMATIC_NAME":"M41405","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011079","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011079","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Impacted tooth","DESCRIPTION_FULL":"A tooth that has not erupted because of local impediments (overcrowding or fibrous gum overgrowth). [HPO:ibailleulforestier]"}
{"STANDARD_NAME":"HP_INCISOR_MACRODONTIA","SYSTEMATIC_NAME":"M37763","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011081","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011081","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Incisor macrodontia","DESCRIPTION_FULL":"Increased size of the incisor tooth. [HPO:ibailleulforestier]"}
{"STANDARD_NAME":"HP_OVERBITE","SYSTEMATIC_NAME":"M37764","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011094","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011094","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Overbite","DESCRIPTION_FULL":"Maxillary teeth cover the mandibular teeth when biting to an increased degree. [HPO:ibailleulforestier]"}
{"STANDARD_NAME":"HP_PERIPHERAL_DEMYELINATION","SYSTEMATIC_NAME":"M37765","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011096","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011096","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Peripheral demyelination","DESCRIPTION_FULL":"A loss of myelin from the internode regions along myelinated nerve fibers of the peripheral nervous system. [HPO:probinson]"}
{"STANDARD_NAME":"HP_EPILEPTIC_SPASM","SYSTEMATIC_NAME":"M37766","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011097","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011097","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Epileptic spasm","DESCRIPTION_FULL":"A sudden flexion, extension, or mixed extension-flexion of predominantly proximal and truncal muscles that is usually more sustained than a myoclonic movement but not as sustained as a tonic seizure. Limited forms may occur: Grimacing, head nodding, or subtle eye movements. Epileptic spasms frequently occur in clusters. Infantile spasms are the best known form, but spasms can occur at all ages [HPO:jalbers, PMID:28276060]"}
{"STANDARD_NAME":"HP_SPEECH_APRAXIA","SYSTEMATIC_NAME":"M37767","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011098","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011098","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Speech apraxia","DESCRIPTION_FULL":"A type of apraxia that is characterized by difficulty or inability to execute speech movements because of problems with coordination and motor problems, leading to incorrect articulation. An increase of errors with increasing word and phrase length may occur. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INTESTINAL_ATRESIA","SYSTEMATIC_NAME":"M37768","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011100","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011100","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Intestinal atresia","DESCRIPTION_FULL":"An abnormal closure, or atresia of the tubular structure of the intestine. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_LEFT_VENTRICULAR_OUTFLOW_TRACT_MORPHOLOGY","SYSTEMATIC_NAME":"M37769","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011103","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011103","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal left ventricular outflow tract morphology","DESCRIPTION_FULL":"An abnormality of the outflow tract of the left ventricle. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_BLOOD_VOLUME_HOMEOSTASIS","SYSTEMATIC_NAME":"M37770","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011104","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011104","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of blood volume homeostasis","DESCRIPTION_FULL":"An abnormality in the amount of volume occupied by intravascular blood. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RECURRENT_SINUSITIS","SYSTEMATIC_NAME":"M37772","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011108","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011108","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Recurrent sinusitis","DESCRIPTION_FULL":"A recurrent form of sinusitis. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CHRONIC_SINUSITIS","SYSTEMATIC_NAME":"M37773","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011109","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011109","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Chronic sinusitis","DESCRIPTION_FULL":"A chronic form of sinusitis. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RECURRENT_TONSILLITIS","SYSTEMATIC_NAME":"M41406","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011110","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011110","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Recurrent tonsillitis","DESCRIPTION_FULL":"Inflammation of the tonsils that has occurred repeatedly. The definition of recurrent may vary somewhat, but the criteria used recently as a measure of severity were five or more episodes of true tonsillitis per year, symptoms recurring for at least a year, and episodes that are disabling and that prevent normal functioning. In some cases recurrent tonsillitis may be related to immunosusceptibility. Evidence exists for a genetic predisposition for recurrent tonsillitis. [HPO:probinson, PMID:15897415]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_IMMUNE_SERUM_PROTEIN_PHYSIOLOGY","SYSTEMATIC_NAME":"M37774","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011111","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011111","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of immune serum protein physiology","DESCRIPTION_FULL":"An abnormality of the concentration or function of circulating immune proteins. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_NASAL_DORSUM","SYSTEMATIC_NAME":"M37775","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011119","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011119","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the nasal dorsum","DESCRIPTION_FULL":"An abnormality of the nasal dorsum, also known as the nasal ridge. [HPO:probinson, PMID:19152422]"}
{"STANDARD_NAME":"HP_CONCAVE_NASAL_RIDGE","SYSTEMATIC_NAME":"M37776","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011120","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011120","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Concave nasal ridge","DESCRIPTION_FULL":"Nasal ridge curving posteriorly to an imaginary line that connects the nasal root and tip. [HPO:probinson, PMID:19152422]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_SKIN_PHYSIOLOGY","SYSTEMATIC_NAME":"M37777","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011122","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011122","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of skin physiology","DESCRIPTION_FULL":"Any abnormality of the physiological function of the skin. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_EPIDERMAL_MORPHOLOGY","SYSTEMATIC_NAME":"M37778","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011124","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011124","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of epidermal morphology","DESCRIPTION_FULL":"An abnormality of the morphology of the epidermis. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_DERMAL_MELANOSOMES","SYSTEMATIC_NAME":"M37779","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011125","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011125","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of dermal melanosomes","DESCRIPTION_FULL":"An abnormality of the melanosomes, i.e., of the cellular organelles in which melanin pigments are synthesized and stored within melanocytes (the cells that produce pigment in the dermis). [HPO:probinson]"}
{"STANDARD_NAME":"HP_INCREASED_SENSITIVITY_TO_IONIZING_RADIATION","SYSTEMATIC_NAME":"M37780","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011133","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011133","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased sensitivity to ionizing radiation","DESCRIPTION_FULL":"An abnormally increased sensitivity to the effects of ionizing radiation. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SYMPTOMATIC_SEIZURES","SYSTEMATIC_NAME":"M37782","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011145","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011145","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Symptomatic seizures","DESCRIPTION_FULL":"A seizure that occurs in the context of a brain insult (systemic, toxic, or metabolic) and may not recur when the underlying cause has been removed or the acute phase has elapsed. [PMID:18184148]"}
{"STANDARD_NAME":"HP_DIALEPTIC_SEIZURE","SYSTEMATIC_NAME":"M37783","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011146","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011146","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Dialeptic seizure","DESCRIPTION_FULL":"A dialeptic seizure is a type of seizure characterised predominantly by reduced responsiveness or awareness and with subsequent at least partial amnesia of the event. [PMID:9738682]"}
{"STANDARD_NAME":"HP_TYPICAL_ABSENCE_SEIZURE","SYSTEMATIC_NAME":"M41407","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011147","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011147","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Typical absence seizure","DESCRIPTION_FULL":"A typical absence seizure is a type of generalised non-motor (absence) seizure characterised by its sudden onset, interruption of ongoing activities, a blank stare, possibly a brief upward deviation of the eyes. Usually the patient will be unresponsive when spoken to. Duration is a few seconds to half a minute with very rapid recovery. Although not always available, an EEG would usually show 3 Hz generalized epileptiform discharges during the event. [HPO:jalbers, PMID:28276060, PMID:28276062, PMID:28276064, PMID:6790275]"}
{"STANDARD_NAME":"HP_MYOCLONIC_ABSENCE_SEIZURE","SYSTEMATIC_NAME":"M37784","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011150","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011150","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Myoclonic absence seizure","DESCRIPTION_FULL":"Myoclonic absence seizure is a type of generalized non-motor (absence) seizure characterised by an interruption of ongoing activities, a blank stare and rhythmic three-per-second myoclonic movements, causing ratcheting abduction of the upper limbs leading to progressive arm elevation, and associated with 3 Hz generalized spike-wave discharges on the electroencephalogram. Duration is typically 10-60 s. Whilst impairment of consciousness may not be obvious the ILAE classified this seizure as a generalized non-motor seizure in 2017. [HPO:ihelbig, PMID:28276060, PMID:28276062, PMID:28276064, PMID:9637609]"}
{"STANDARD_NAME":"HP_FOCAL_MOTOR_SEIZURE","SYSTEMATIC_NAME":"M37785","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011153","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011153","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Focal motor seizure","DESCRIPTION_FULL":"A type of focal-onset seizure characterized by a motor sign as its initial semiological manifestation. [HPO:jalbers, ORCID:0000-0002-1735-8178, PMID:11580774, PMID:28276060, PMID:28276064]"}
{"STANDARD_NAME":"HP_FOCAL_SENSORY_SEIZURE","SYSTEMATIC_NAME":"M37786","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011157","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011157","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Focal sensory seizure","DESCRIPTION_FULL":"A focal sensory seizure is a type seizure beginning with a subjective sensation. [DDD:ssisodiya, HPO:jalbers, PMID:28276060, PMID:28276062, PMID:28276064]"}
{"STANDARD_NAME":"HP_FOCAL_MYOCLONIC_SEIZURE","SYSTEMATIC_NAME":"M37787","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011166","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011166","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Focal myoclonic seizure","DESCRIPTION_FULL":"A type of focal motor seizure characterized by sudden, brief (<100 ms) involuntary single or multiple contraction(s) of muscles(s) or muscle groups of variable topography (axial, proximal limb, distal). Myoclonus is less regularly repetitive and less sustained than is clonus. [PMID:11580774, PMID:28276060, PMID:28276064]"}
{"STANDARD_NAME":"HP_FOCAL_TONIC_SEIZURE","SYSTEMATIC_NAME":"M41408","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011167","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011167","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Focal tonic seizure","DESCRIPTION_FULL":"A type of focal motor seizure characterized by sustained increase in muscle contraction, lasting a few seconds to minutes. [HPO:jalbers, PMID:11580774, PMID:28276060, PMID:28276064]"}
{"STANDARD_NAME":"HP_GENERALIZED_CLONIC_SEIZURE","SYSTEMATIC_NAME":"M37788","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011169","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011169","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Generalized clonic seizure","DESCRIPTION_FULL":"Generalized clonic seizure is a type of generalized motor seizure characterised by sustained bilateral jerking, either symmetric or asymmetric, that is regularly repetitive and involves the same muscle groups. [HPO:jalbers, PMID:28276060, PMID:28276064]"}
{"STANDARD_NAME":"HP_SIMPLE_FEBRILE_SEIZURE","SYSTEMATIC_NAME":"M41409","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011171","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011171","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Simple febrile seizure","DESCRIPTION_FULL":"A short generalized seizure, of a duration of <15 min, not recurring within 24 h, occurring during a febrile episode not caused by an acute disease of the nervous system intracranial infection or severe metabolic disturbance. [HPO:jalbers, PMID:19125841, PMID:6779259, PMID:972656]"}
{"STANDARD_NAME":"HP_COMPLEX_FEBRILE_SEIZURE","SYSTEMATIC_NAME":"M37789","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011172","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011172","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Complex febrile seizure","DESCRIPTION_FULL":"A febrile seizure that has any of the following features: focal semiology (or associated with post-ictal neurologic abnormalities beyond drowsiness, such as a Todd's paresis), prolonged seizure beyond 15 minutes, or recurring (occurring more than once) in a 24 hour period. [HPO:jalbers, PMID:19125841, PMID:972656]"}
{"STANDARD_NAME":"HP_EEG_WITH_FOCAL_EPILEPTIFORM_DISCHARGES","SYSTEMATIC_NAME":"M37790","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011185","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011185","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"EEG with focal epileptiform discharges","DESCRIPTION_FULL":"EEG discharges recorded in particular areas of a localized (focal) abnormality in cerebral electrical activity recorded along the scalp by electroencephalography (EEG). [HPO:jalbers]"}
{"STANDARD_NAME":"HP_EEG_WITH_FOCAL_SPIKES","SYSTEMATIC_NAME":"M37791","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011193","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011193","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"EEG with focal spikes","DESCRIPTION_FULL":"EEG with focal sharp transient waves of a duration less than 80 msec. [HPO:jalbers]"}
{"STANDARD_NAME":"HP_EEG_WITH_FOCAL_SHARP_SLOW_WAVES","SYSTEMATIC_NAME":"M37792","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011195","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011195","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"EEG with focal sharp slow waves","DESCRIPTION_FULL":"EEG with focal sharp transient waves of a duration between 80 and 200 msec followed by a slow wave. [HPO:jalbers]"}
{"STANDARD_NAME":"HP_EEG_WITH_FOCAL_SHARP_WAVES","SYSTEMATIC_NAME":"M37793","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011196","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011196","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"EEG with focal sharp waves","DESCRIPTION_FULL":"EEG with focal sharp transient waves of a duration between 80 and 200 msec. [HPO:jalbers]"}
{"STANDARD_NAME":"HP_EEG_WITH_FOCAL_SPIKE_WAVES","SYSTEMATIC_NAME":"M37794","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011197","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011197","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"EEG with focal spike waves","DESCRIPTION_FULL":"EEG with focal sharp transient waves of a duration less than 80 msec followed by a slow wave. [HPO:jalbers]"}
{"STANDARD_NAME":"HP_EEG_WITH_GENERALIZED_SHARP_SLOW_WAVES","SYSTEMATIC_NAME":"M41410","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011199","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011199","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"EEG with generalized sharp slow waves","DESCRIPTION_FULL":"EEG with generalized sharp transient waves of a duration between 80 and 200 msec followed by a slow wave. [HPO:jalbers]"}
{"STANDARD_NAME":"HP_EEG_WITH_ABNORMALLY_SLOW_FREQUENCIES","SYSTEMATIC_NAME":"M37795","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011203","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011203","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"EEG with abnormally slow frequencies","DESCRIPTION_FULL":"EEG with abnormally slow frequencies. [HPO:jalbers]"}
{"STANDARD_NAME":"HP_EEG_WITH_CONTINUOUS_SLOW_ACTIVITY","SYSTEMATIC_NAME":"M37796","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011204","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011204","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"EEG with continuous slow activity","DESCRIPTION_FULL":"EEG showing diffuse slowing without interruption. [HPO:jalbers]"}
{"STANDARD_NAME":"HP_ABNORMAL_SHAPE_OF_THE_OCCIPUT","SYSTEMATIC_NAME":"M37797","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011217","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011217","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal shape of the occiput","DESCRIPTION_FULL":"An abnormal shape of occiput. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_SHAPE_OF_THE_FRONTAL_REGION","SYSTEMATIC_NAME":"M37798","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011218","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011218","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal shape of the frontal region","DESCRIPTION_FULL":"An abnormal shape of the frontal part of the head. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SHORT_FACE","SYSTEMATIC_NAME":"M37799","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011219","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011219","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Short face","DESCRIPTION_FULL":"Facial height (length) is more than two standard deviations below the mean (objective); or an apparent decrease in the height (length) of the face (subjective). [PMID:19125436]"}
{"STANDARD_NAME":"HP_PROMINENT_FOREHEAD","SYSTEMATIC_NAME":"M37800","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011220","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011220","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Prominent forehead","DESCRIPTION_FULL":"Forward prominence of the entire forehead, due to protrusion of the frontal bone. [PMID:19125436]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_EYELID","SYSTEMATIC_NAME":"M37801","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011226","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011226","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the eyelid","DESCRIPTION_FULL":"Absence or underdevelopment of the eyelid. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HORIZONTAL_EYEBROW","SYSTEMATIC_NAME":"M37803","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011228","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011228","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Horizontal eyebrow","DESCRIPTION_FULL":"An eyebrow that extends straight across the brow, without curve. [PMID:19125427]"}
{"STANDARD_NAME":"HP_BROAD_EYEBROW","SYSTEMATIC_NAME":"M37804","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011229","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011229","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Broad eyebrow","DESCRIPTION_FULL":"Regional increase in the width (height) of the eyebrow. [PMID:19125427]"}
{"STANDARD_NAME":"HP_MICROTIA_THIRD_DEGREE","SYSTEMATIC_NAME":"M37805","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011267","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011267","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Microtia, third degree","DESCRIPTION_FULL":"Presence of some auricular structures, but none of these structures conform to recognized ear components. [PMID:19152421]"}
{"STANDARD_NAME":"HP_UNDERDEVELOPED_TRAGUS","SYSTEMATIC_NAME":"M41411","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011272","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011272","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Underdeveloped tragus","DESCRIPTION_FULL":"Decreased posterolateral protrusion of the tragus. [PMID:19152421]"}
{"STANDARD_NAME":"HP_ANISOCYTOSIS","SYSTEMATIC_NAME":"M37806","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011273","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011273","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Anisocytosis","DESCRIPTION_FULL":"Abnormally increased variability in the size of erythrocytes. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RECURRENT_MYCOBACTERIAL_INFECTIONS","SYSTEMATIC_NAME":"M37807","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011274","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011274","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Recurrent mycobacterial infections","DESCRIPTION_FULL":"Increased susceptibility to mycobacterial infections, as manifested by recurrent episodes of mycobacterial infection. [HPO:probinson]"}
{"STANDARD_NAME":"HP_VASCULAR_SKIN_ABNORMALITY","SYSTEMATIC_NAME":"M37808","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011276","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011276","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Vascular skin abnormality"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_URINARY_SYSTEM_PHYSIOLOGY","SYSTEMATIC_NAME":"M37809","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011277","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011277","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the urinary system physiology"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_URINE_CALCIUM_CONCENTRATION","SYSTEMATIC_NAME":"M37810","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011280","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011280","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of urine calcium concentration","DESCRIPTION_FULL":"An abnormality of calcium concentration in the urine. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_URINE_CATECHOLAMINE_CONCENTRATION","SYSTEMATIC_NAME":"M37811","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011281","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011281","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of urine catecholamine concentration","DESCRIPTION_FULL":"An abnormal level of urinary catecholamine concentration. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_HINDBRAIN_MORPHOLOGY","SYSTEMATIC_NAME":"M37812","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011282","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011282","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of hindbrain morphology","DESCRIPTION_FULL":"An abnormality of the hindbrain, also known as the rhombencephalon. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PROMINENT_DIGIT_PAD","SYSTEMATIC_NAME":"M41412","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011298","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011298","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Prominent digit pad","DESCRIPTION_FULL":"A soft tissue prominence of the ventral aspects of the fingertips or toe tips. [PMID:19125433]"}
{"STANDARD_NAME":"HP_BROAD_THUMB","SYSTEMATIC_NAME":"M37813","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011304","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011304","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Broad thumb","DESCRIPTION_FULL":"Increased thumb width without increased dorso-ventral dimension. [PMID:19125433]"}
{"STANDARD_NAME":"HP_SLENDER_TOE","SYSTEMATIC_NAME":"M37814","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011308","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011308","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Slender toe","DESCRIPTION_FULL":"Toes that are disproportionately narrow (reduced girth) for the hand/foot size or build of the individual. [PMID:19125433]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_LONG_BONE_MORPHOLOGY","SYSTEMATIC_NAME":"M37815","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011314","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011314","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of long bone morphology","DESCRIPTION_FULL":"An abnormality of size or shape of the long bones. [HPO:probinson]"}
{"STANDARD_NAME":"HP_BICORONAL_SYNOSTOSIS","SYSTEMATIC_NAME":"M37816","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011318","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011318","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Bicoronal synostosis","DESCRIPTION_FULL":"Synostosis affecting the right and the left coronal suture. [DDD:awilkie]"}
{"STANDARD_NAME":"HP_MULTIPLE_SUTURE_CRANIOSYNOSTOSIS","SYSTEMATIC_NAME":"M37817","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011324","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011324","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Multiple suture craniosynostosis","DESCRIPTION_FULL":"Craniosynostosis involving at least 2 cranial sutures, where the exact pattern of sutures fused has not been precisely specified. [DDD:awilkie]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_FONTANELLES","SYSTEMATIC_NAME":"M37818","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011328","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011328","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of fontanelles","DESCRIPTION_FULL":"An abnormality of the fontanelle. [HPO:probinson, PMID:12825844]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_CRANIAL_SUTURES","SYSTEMATIC_NAME":"M37819","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011329","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011329","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of cranial sutures","DESCRIPTION_FULL":"Any anomaly of a cranial suture, that is one of the six membrane-covered openings in the incompletely ossified skull of the fetus or newborn infant. [HPO:probinson]"}
{"STANDARD_NAME":"HP_METOPIC_SYNOSTOSIS","SYSTEMATIC_NAME":"M37820","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011330","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011330","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Metopic synostosis","DESCRIPTION_FULL":"Premature fusion of the metopic suture. [DDD:awilkie]"}
{"STANDARD_NAME":"HP_FACIAL_SHAPE_DEFORMATION","SYSTEMATIC_NAME":"M37821","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011334","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011334","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Facial shape deformation"}
{"STANDARD_NAME":"HP_FRONTAL_HIRSUTISM","SYSTEMATIC_NAME":"M41413","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011335","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011335","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Frontal hirsutism","DESCRIPTION_FULL":"Excessive amount of hair growth on forehead. [DDD:jclayton-smith]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_MOUTH_SIZE","SYSTEMATIC_NAME":"M37822","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011337","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011337","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of mouth size"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_MOUTH_SHAPE","SYSTEMATIC_NAME":"M37823","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011338","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011338","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of mouth shape","DESCRIPTION_FULL":"An abnormality of the outline, configuration, or contour of the mouth. [DDD:jhurst]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_UPPER_LIP_VERMILLION","SYSTEMATIC_NAME":"M37824","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011339","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011339","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of upper lip vermillion","DESCRIPTION_FULL":"An abnormality of the vermilion border, the sharp demarcation between the lip (red colored) and the adjacent normal skin. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LONG_UPPER_LIP","SYSTEMATIC_NAME":"M37825","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011341","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011341","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Long upper lip","DESCRIPTION_FULL":"Increased width of the upper lip. [DDD:jhurst]"}
{"STANDARD_NAME":"HP_MILD_GLOBAL_DEVELOPMENTAL_DELAY","SYSTEMATIC_NAME":"M37826","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011342","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011342","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Mild global developmental delay","DESCRIPTION_FULL":"A mild delay in the achievement of motor or mental milestones in the domains of development of a child. [DDD:hvfirth]"}
{"STANDARD_NAME":"HP_MODERATE_GLOBAL_DEVELOPMENTAL_DELAY","SYSTEMATIC_NAME":"M37827","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011343","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011343","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Moderate global developmental delay","DESCRIPTION_FULL":"A moderate delay in the achievement of motor or mental milestones in the domains of development of a child. [DDD:hvfirth]"}
{"STANDARD_NAME":"HP_SEVERE_GLOBAL_DEVELOPMENTAL_DELAY","SYSTEMATIC_NAME":"M37828","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011344","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011344","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Severe global developmental delay","DESCRIPTION_FULL":"A severe delay in the achievement of motor or mental milestones in the domains of development of a child. [DDD:hvfirth]"}
{"STANDARD_NAME":"HP_GENERALIZED_ABNORMALITY_OF_SKIN","SYSTEMATIC_NAME":"M37829","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011354","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011354","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Generalized abnormality of skin","DESCRIPTION_FULL":"An abnormality of the skin that is not localized to any one particular region. [DDD:cmoss]"}
{"STANDARD_NAME":"HP_LOCALIZED_SKIN_LESION","SYSTEMATIC_NAME":"M37830","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011355","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011355","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Localized skin lesion","DESCRIPTION_FULL":"A lesion of the skin that is located in a specific region rather than being generalized. [DDD:cmoss]"}
{"STANDARD_NAME":"HP_REGIONAL_ABNORMALITY_OF_SKIN","SYSTEMATIC_NAME":"M37831","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011356","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011356","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Regional abnormality of skin","DESCRIPTION_FULL":"An abnormality of the skin that is restricted to a particular body region. [DDD:cmoss]"}
{"STANDARD_NAME":"HP_GENERALIZED_HYPOPIGMENTATION_OF_HAIR","SYSTEMATIC_NAME":"M37832","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011358","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011358","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Generalized hypopigmentation of hair","DESCRIPTION_FULL":"Reduced pigmentation of hair diffusely. [DDD:cmoss]"}
{"STANDARD_NAME":"HP_DRY_HAIR","SYSTEMATIC_NAME":"M37833","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011359","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011359","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Dry hair","DESCRIPTION_FULL":"Hair that lacks the lustre (shine or gleam) of normal hair. [DDD:cmoss]"}
{"STANDARD_NAME":"HP_ACQUIRED_ABNORMAL_HAIR_PATTERN","SYSTEMATIC_NAME":"M37834","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011360","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011360","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Acquired abnormal hair pattern","DESCRIPTION_FULL":"An abnormality of the distribution of hair growth that is acquired during the course of life. [DDD:cmoss]"}
{"STANDARD_NAME":"HP_ABNORMAL_HAIR_QUANTITY","SYSTEMATIC_NAME":"M37836","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011362","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011362","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal hair quantity","DESCRIPTION_FULL":"An abnormal amount of hair. [DDD:cmoss]"}
{"STANDARD_NAME":"HP_WHITE_HAIR","SYSTEMATIC_NAME":"M37837","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011364","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011364","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"White hair","DESCRIPTION_FULL":"Hypopigmented hair that appears white. [DDD:cmoss]"}
{"STANDARD_NAME":"HP_PATCHY_HYPOPIGMENTATION_OF_HAIR","SYSTEMATIC_NAME":"M37838","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011365","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011365","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Patchy hypopigmentation of hair","DESCRIPTION_FULL":"Reduced pigmentation of hair in patches. [DDD:cmoss]"}
{"STANDARD_NAME":"HP_MORPHOLOGICAL_ABNORMALITY_OF_THE_VESTIBULE_OF_THE_INNER_EAR","SYSTEMATIC_NAME":"M37839","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011376","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011376","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Morphological abnormality of the vestibule of the inner ear","DESCRIPTION_FULL":"A morphological abnormality of the vestibule, the central part of the osseous labyrinth that is situated medial to the tympanic cavity, behind the cochlea, and in front of the semicircular canals. [DDD:mbitner-glidicz]"}
{"STANDARD_NAME":"HP_APLASIA_OF_THE_SEMICIRCULAR_CANAL","SYSTEMATIC_NAME":"M37840","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011381","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011381","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia of the semicircular canal","DESCRIPTION_FULL":"Absence of the semicircular canal. [DDD:dfitzpatrick]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_INTERNAL_AUDITORY_CANAL","SYSTEMATIC_NAME":"M37841","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011384","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011384","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the internal auditory canal","DESCRIPTION_FULL":"An abnormality of the Internal acoustic meatus, i.e., of the canal in the petrous part of the temporal bone through which the cranial nerve VII and cranial nerve VIII traverse. [DDD:mbitner-glidicz]"}
{"STANDARD_NAME":"HP_NARROW_INTERNAL_AUDITORY_CANAL","SYSTEMATIC_NAME":"M37842","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011386","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011386","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Narrow internal auditory canal","DESCRIPTION_FULL":"Reduction in diameter of the internal auditory canal. [DDD:dfitzpatrick]"}
{"STANDARD_NAME":"HP_MORPHOLOGICAL_ABNORMALITY_OF_THE_INNER_EAR","SYSTEMATIC_NAME":"M37843","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011390","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011390","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Morphological abnormality of the inner ear","DESCRIPTION_FULL":"A structural anomaly of the internal part of the ear. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_CNS_MYELINATION","SYSTEMATIC_NAME":"M37845","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011400","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011400","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal CNS myelination","DESCRIPTION_FULL":"An abnormality of myelination of nerves in the central nervous system. [DDD:fmuntoni]"}
{"STANDARD_NAME":"HP_PROPORTIONATE_TALL_STATURE","SYSTEMATIC_NAME":"M41414","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011407","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011407","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Proportionate tall stature"}
{"STANDARD_NAME":"HP_ABNORMAL_PLACENTAL_MEMBRANE_MORPHOLOGY","SYSTEMATIC_NAME":"M37846","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011409","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011409","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal placental membrane morphology","DESCRIPTION_FULL":"Structural anomaly of the fetal membranes (also known as the amniochorionic or placental membranes), which comprise a vital intrauterine compartment, where they perform mechanical, immune, and endocrine functions to promote growth of the fetus and protection from environmental adversity. Amniochorionic membranes anatomically consist of a single layer of cuboidal amnion epithelial cells, chorionic trophoblasts, and scattered fibroblasts connected by a layer of type IV collagen-rich extracellular matrix. [PMID:28939208]"}
{"STANDARD_NAME":"HP_CAESARIAN_SECTION","SYSTEMATIC_NAME":"M37847","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011410","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011410","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Caesarian section","DESCRIPTION_FULL":"Delivery of a fetus through surgical incisions made through the abdominal wall (laparotomy) and the uterine wall (hysterotomy). []"}
{"STANDARD_NAME":"HP_DEATH_IN_ADOLESCENCE","SYSTEMATIC_NAME":"M41415","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011421","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011421","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Death in adolescence","DESCRIPTION_FULL":"Death during adolescence, the period between childhood and adulthood (roughly between the ages of 10 and 19 years). [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_BLOOD_CHLORIDE_CONCENTRATION","SYSTEMATIC_NAME":"M37848","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011422","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011422","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal blood chloride concentration","DESCRIPTION_FULL":"An abnormality of chloride homeostasis or concentration in the body. [HPO:probinson]"}
{"STANDARD_NAME":"HP_FETAL_ULTRASOUND_SOFT_MARKER","SYSTEMATIC_NAME":"M37849","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011425","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011425","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Fetal ultrasound soft marker","DESCRIPTION_FULL":"An finding upon obstetric ultrasound examination performed at around 16 to 20 weeks of gestation that is abnormal but not clearly identifiable as a fetal anatomic malformation or growth restriction. Such findings are known as soft markers since they are associated with increased risk for fetal aneuploidy or other disorders. [PMID:16100637]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_COORDINATION","SYSTEMATIC_NAME":"M37850","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011443","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011443","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of coordination"}
{"STANDARD_NAME":"HP_ANKLE_CLONUS","SYSTEMATIC_NAME":"M37851","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011448","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011448","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ankle clonus","DESCRIPTION_FULL":"Clonus is an involuntary tendon reflex that causes repeated flexion and extension of the foot. Ankle clonus is tested by rapidly flexing the foot upward. [HPO:probinson]"}
{"STANDARD_NAME":"HP_KNEE_CLONUS","SYSTEMATIC_NAME":"M37852","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011449","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011449","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Knee clonus","DESCRIPTION_FULL":"Clonus is an involuntary tendon reflex that causes repeated flexion and extension of the foot. Knee clonus can be tested by rapidly pushing the patella towards the toes. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CONGENITAL_MICROCEPHALY","SYSTEMATIC_NAME":"M37853","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011451","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011451","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Congenital microcephaly","DESCRIPTION_FULL":"Head circumference below 2 standard deviations below the mean for age and gender at birth. [HPO:probinson]"}
{"STANDARD_NAME":"HP_FUNCTIONAL_ABNORMALITY_OF_THE_MIDDLE_EAR","SYSTEMATIC_NAME":"M37854","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011452","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011452","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Functional abnormality of the middle ear","DESCRIPTION_FULL":"An abnormality of the function of the middle ear. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ESOPHAGEAL_CARCINOMA","SYSTEMATIC_NAME":"M37855","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011459","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011459","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Esophageal carcinoma","DESCRIPTION_FULL":"The presence of a carcinoma of the esophagus. [DDD:hfirth, NCIT:C3513]"}
{"STANDARD_NAME":"HP_YOUNG_ADULT_ONSET","SYSTEMATIC_NAME":"M37856","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011462","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011462","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Young adult onset","DESCRIPTION_FULL":"Onset of disease at the age of between 16 and 40 years. [DDD:hfirth]"}
{"STANDARD_NAME":"HP_CHILDHOOD_ONSET","SYSTEMATIC_NAME":"M37857","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011463","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011463","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Childhood onset","DESCRIPTION_FULL":"Onset of disease at the age of between 1 and 5 years. [DDD:hfirth]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_GALLBLADDER","SYSTEMATIC_NAME":"M37858","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011466","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011466","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the gallbladder","DESCRIPTION_FULL":"Absence or underdevelopment of the gallbladder. [HPO:probinson]"}
{"STANDARD_NAME":"HP_FACIAL_TICS","SYSTEMATIC_NAME":"M41416","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011468","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011468","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Facial tics","DESCRIPTION_FULL":"Sudden, repetitive, nonrhythmic motor movements (spasms), involving the eyes and muscles of the face. [DDD:cwright]"}
{"STANDARD_NAME":"HP_NASAL_REGURGITATION","SYSTEMATIC_NAME":"M37860","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011469","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011469","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Nasal regurgitation","DESCRIPTION_FULL":"Regurgitation of milk through the nose. [DDD:ncarter]"}
{"STANDARD_NAME":"HP_NASOGASTRIC_TUBE_FEEDING_IN_INFANCY","SYSTEMATIC_NAME":"M37861","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011470","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011470","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Nasogastric tube feeding in infancy","DESCRIPTION_FULL":"Feeding problem necessitating nasogastric tube feeding. [DDD:ncarter]"}
{"STANDARD_NAME":"HP_GASTROSTOMY_TUBE_FEEDING_IN_INFANCY","SYSTEMATIC_NAME":"M37862","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011471","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011471","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Gastrostomy tube feeding in infancy","DESCRIPTION_FULL":"Feeding problem necessitating gastrostomy tube feeding. [DDD:ncarter]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_SMALL_INTESTINAL_VILLUS_MORPHOLOGY","SYSTEMATIC_NAME":"M37863","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011472","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011472","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of small intestinal villus morphology"}
{"STANDARD_NAME":"HP_CHILDHOOD_ONSET_SENSORINEURAL_HEARING_IMPAIRMENT","SYSTEMATIC_NAME":"M37864","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011474","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011474","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Childhood onset sensorineural hearing impairment","DESCRIPTION_FULL":"Sensorineural hearing impairment with childhood onset. [DDD:dfitzpatrick]"}
{"STANDARD_NAME":"HP_PROFOUND_SENSORINEURAL_HEARING_IMPAIRMENT","SYSTEMATIC_NAME":"M37865","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011476","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011476","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Profound sensorineural hearing impairment","DESCRIPTION_FULL":"Complete loss of hearing related to a sensorineural defect. [DDD:dfitzpatrick]"}
{"STANDARD_NAME":"HP_ABNORMAL_LACRIMAL_DUCT_MORPHOLOGY","SYSTEMATIC_NAME":"M37866","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011481","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011481","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal lacrimal duct morphology","DESCRIPTION_FULL":"An abnormality of the lacrimal duct, a duct that drain tears from the conjunctiva, via the lacrimal puncta, into the lacrimal sac. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_LACRIMAL_GLAND_MORPHOLOGY","SYSTEMATIC_NAME":"M37867","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011482","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011482","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal lacrimal gland morphology","DESCRIPTION_FULL":"Abnormality of the lacrimal gland, i.e., of the almond-shaped gland that secretes the aqueous layer of the tear film for each eye. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ANTERIOR_SYNECHIAE_OF_THE_ANTERIOR_CHAMBER","SYSTEMATIC_NAME":"M41417","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011483","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011483","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Anterior synechiae of the anterior chamber","DESCRIPTION_FULL":"Adhesions between the iris and the cornea. [DDD:ncarter]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_CORNEAL_THICKNESS","SYSTEMATIC_NAME":"M41418","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011486","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011486","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of corneal thickness","DESCRIPTION_FULL":"An abnormal anteroposterior thickness of the cornea. [DDD:gblack]"}
{"STANDARD_NAME":"HP_ABNORMAL_CORNEAL_ENDOTHELIUM_MORPHOLOGY","SYSTEMATIC_NAME":"M37868","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011488","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011488","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal corneal endothelium morphology","DESCRIPTION_FULL":"Abnormality of the corneal endothelium, that is, the single layer of cells on the inner surface of the cornea. [DDD:gblack]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_CORNEAL_STROMA","SYSTEMATIC_NAME":"M37869","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011492","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011492","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of corneal stroma","DESCRIPTION_FULL":"An abnormality of the stroma of cornea, also known as the substantia propria of cornea. [DDD:ncarter, HPO:probinson]"}
{"STANDARD_NAME":"HP_CENTRAL_OPACIFICATION_OF_THE_CORNEA","SYSTEMATIC_NAME":"M37870","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011493","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011493","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Central opacification of the cornea","DESCRIPTION_FULL":"Reduced transparency of the central portion of the corneal stroma. [DDD:ncarter]"}
{"STANDARD_NAME":"HP_ABNORMAL_CORNEAL_EPITHELIUM_MORPHOLOGY","SYSTEMATIC_NAME":"M37871","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011495","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011495","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal corneal epithelium morphology","DESCRIPTION_FULL":"Abnormality of the corneal epithelium, that is of the epithelial tissue that covers the front of the cornea. [DDD:gblack]"}
{"STANDARD_NAME":"HP_CORNEAL_NEOVASCULARIZATION","SYSTEMATIC_NAME":"M37872","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011496","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011496","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Corneal neovascularization","DESCRIPTION_FULL":"Ingrowth of new blood vessels into the cornea. [DDD:ncarter, PMID:22898649]"}
{"STANDARD_NAME":"HP_MYDRIASIS","SYSTEMATIC_NAME":"M37873","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011499","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011499","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Mydriasis","DESCRIPTION_FULL":"Abnormal dilatation of the iris. [DDD:ncarter]"}
{"STANDARD_NAME":"HP_BULL_S_EYE_MACULOPATHY","SYSTEMATIC_NAME":"M37874","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011504","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011504","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Bull's eye maculopathy","DESCRIPTION_FULL":"Progressive maculopathy characterized by concentric regions of hyper- and hypo-pigmentation. [DDD:gblack]"}
{"STANDARD_NAME":"HP_CYSTOID_MACULAR_EDEMA","SYSTEMATIC_NAME":"M37875","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011505","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011505","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cystoid macular edema","DESCRIPTION_FULL":"Cystoid macular edema (CME) is any type of macular edema that involves cyst formation. [DDD:ncarter]"}
{"STANDARD_NAME":"HP_CHOROIDAL_NEOVASCULARIZATION","SYSTEMATIC_NAME":"M37876","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011506","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011506","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Choroidal neovascularization","DESCRIPTION_FULL":"Choroidal neovascularization (CNV) is the creation of new blood vessels in the choroid layer of the eye. [DDD:ncarter]"}
{"STANDARD_NAME":"HP_DRUSEN","SYSTEMATIC_NAME":"M37877","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011510","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011510","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Drusen","DESCRIPTION_FULL":"Drusen (singular, 'druse') are tiny yellow or white accumulations of extracellular material (lipofuscin) that build up in Bruch's membrane of the eye. [DDD:gblack]"}
{"STANDARD_NAME":"HP_HYPERPIGMENTATION_OF_THE_FUNDUS","SYSTEMATIC_NAME":"M37878","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011512","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011512","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hyperpigmentation of the fundus","DESCRIPTION_FULL":"Increased pigmentation of the fundus [DDD:ncarter, ORCID:0000-0003-0986-4123]"}
{"STANDARD_NAME":"HP_ACHROMATOPSIA","SYSTEMATIC_NAME":"M37879","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011516","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011516","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Achromatopsia","DESCRIPTION_FULL":"A condition where the retina contains no functional cone cells, so that in addition to the absence of color discrimination, vision in lights of normal intensity is difficult. [DDD:gblack, PMID:12015282]"}
{"STANDARD_NAME":"HP_ANOMALOUS_TRICHROMACY","SYSTEMATIC_NAME":"M37880","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011519","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011519","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Anomalous trichromacy","DESCRIPTION_FULL":"Individuals with anomalous trichromacy possess three types of cones, but one of the three types of cones has an abnormal spectral sensitivity compared to normal cones. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_LENS_SHAPE","SYSTEMATIC_NAME":"M37881","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011526","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011526","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of lens shape","DESCRIPTION_FULL":"An abnormal shape of the lens. [HPO:probinson]"}
{"STANDARD_NAME":"HP_VITRITIS","SYSTEMATIC_NAME":"M37882","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011531","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011531","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Vitritis","DESCRIPTION_FULL":"Inflammation of the vitreous body, characterized by the presence of inflammatory cells and protein exudate in the vitreous cavity. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_ATRIAL_ARRANGEMENT","SYSTEMATIC_NAME":"M41419","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011535","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011535","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal atrial arrangement","DESCRIPTION_FULL":"Abnormality of the spatial relationship of the atria to other components of the heart. [DDD:dbrown]"}
{"STANDARD_NAME":"HP_ABNORMAL_CONNECTION_OF_THE_CARDIAC_SEGMENTS","SYSTEMATIC_NAME":"M37883","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011545","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011545","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal connection of the cardiac segments","DESCRIPTION_FULL":"A deviance in the normal connections between two cardiac segements. [PMID:24876921]"}
{"STANDARD_NAME":"HP_ABNORMAL_ATRIOVENTRICULAR_CONNECTION","SYSTEMATIC_NAME":"M37884","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011546","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011546","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal atrioventricular connection","DESCRIPTION_FULL":"An abnormality of the circulatory connection between atria and ventricles. [DDD:dbrown]"}
{"STANDARD_NAME":"HP_COMMON_ATRIUM","SYSTEMATIC_NAME":"M37885","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011565","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011565","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Common atrium","DESCRIPTION_FULL":"Complete absence of the interatrial septum with common atrioventricular valve and two atrioventricular connections. [DDD:dbrown, HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_BRANCHING_PATTERN_OF_THE_AORTIC_ARCH","SYSTEMATIC_NAME":"M37886","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011587","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011587","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal branching pattern of the aortic arch","DESCRIPTION_FULL":"A deviance from the norm of the origin or course of the right brachiocephalic artery, the left common carotid artery, the left subclavian artery or the proximal vertebral arteries. [DDD:dbrown]"}
{"STANDARD_NAME":"HP_DOUBLE_AORTIC_ARCH","SYSTEMATIC_NAME":"M37887","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011590","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011590","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Double aortic arch","DESCRIPTION_FULL":"A conenital abnormality of the aortic arch in which the two embryonic aortc arches form a vascular ring that surrounds the trachea or esophagus and then join to form the descending aorta. Double aortic arch can cause symptoms because of compression of the esophagus (dysphagia, cyanosis while eating) or trachea (stridor). [DDD:dbrown, HPO:probinson, PMID:15148283, PMID:15564538]"}
{"STANDARD_NAME":"HP_CONGENITAL_MALFORMATION_OF_THE_GREAT_ARTERIES","SYSTEMATIC_NAME":"M37888","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011603","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011603","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Congenital malformation of the great arteries","DESCRIPTION_FULL":"Defect or defects of the morphogenesis of the aorta and pulmonary arteries. []"}
{"STANDARD_NAME":"HP_INTERRUPTED_AORTIC_ARCH","SYSTEMATIC_NAME":"M37889","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011611","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011611","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Interrupted aortic arch","DESCRIPTION_FULL":"Non-continuity of the arch of aorta with an atretic point or absent segment. [DDD:dbrown]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_ABDOMINAL_SITUS","SYSTEMATIC_NAME":"M37890","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011620","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011620","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of abdominal situs","DESCRIPTION_FULL":"An abnormality of the abdominal situs, i.e., of the sidedness of the abdomen and its organs. [DDD:dbrown]"}
{"STANDARD_NAME":"HP_MUSCULAR_VENTRICULAR_SEPTAL_DEFECT","SYSTEMATIC_NAME":"M41420","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011623","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011623","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Muscular ventricular septal defect","DESCRIPTION_FULL":"The trabecular septum is the largest part of the interventricular septum. It extends from the membranous septum to the apex and superiorly to the infundibular septum. A defect in the trabecular septum is called muscular VSD if the defect is completely rimmed by muscle. [DDD:dbrown, PMID:17101870]"}
{"STANDARD_NAME":"HP_TRICUSPID_ATRESIA","SYSTEMATIC_NAME":"M37891","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011662","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011662","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Tricuspid atresia","DESCRIPTION_FULL":"Failure to develop of the tricuspid valve and thus lack of the normal connection between the right atrium and the right ventricle. [DDD:dbrown, HPO:probinson]"}
{"STANDARD_NAME":"HP_RIGHT_VENTRICULAR_CARDIOMYOPATHY","SYSTEMATIC_NAME":"M37892","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011663","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011663","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Right ventricular cardiomyopathy","DESCRIPTION_FULL":"Right ventricular dysfunction (global or regional) with functional and morphological right ventricular abnormalities, with or without left ventricular disease. [HPO:probinson, PMID:17916581]"}
{"STANDARD_NAME":"HP_PERIMEMBRANOUS_VENTRICULAR_SEPTAL_DEFECT","SYSTEMATIC_NAME":"M37893","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011682","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011682","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Perimembranous ventricular septal defect","DESCRIPTION_FULL":"A ventricular septal defect that is confluent with and involves the membranous septum and is bordered by an atrioventricular valve, not including the type 3 VSDs. [DDD:dbrown, PMID:10798413]"}
{"STANDARD_NAME":"HP_CEREBELLAR_HEMORRHAGE","SYSTEMATIC_NAME":"M37894","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011695","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011695","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cerebellar hemorrhage","DESCRIPTION_FULL":"Hemorrhage into the parenchyma of the cerebellum. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_ELECTROPHYSIOLOGY_OF_SINOATRIAL_NODE_ORIGIN","SYSTEMATIC_NAME":"M37895","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011702","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011702","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal electrophysiology of sinoatrial node origin","DESCRIPTION_FULL":"An abnormality of the sinoatrial (SA) node in the right atrium. THe SA node acts as the pacemaker of the heart. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SINUS_TACHYCARDIA","SYSTEMATIC_NAME":"M37896","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011703","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011703","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Sinus tachycardia","DESCRIPTION_FULL":"Heart rate of greater than 100 beats per minute. []"}
{"STANDARD_NAME":"HP_SICK_SINUS_SYNDROME","SYSTEMATIC_NAME":"M37897","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011704","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011704","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Sick sinus syndrome","DESCRIPTION_FULL":"An abnormality involving the generation of the action potential by the sinus node and is characterized by an atrial rate inappropriate for physiological requirements. Manifestations include severe sinus bradycardia, sinus pauses or arrest, sinus node exit block, chronic atrial tachyarrhythmias, alternating periods of atrial bradyarrhythmias and tachyarrhythmias, and inappropriate responses of heart rate during exercise or stress. [PMID:17420362]"}
{"STANDARD_NAME":"HP_FIRST_DEGREE_ATRIOVENTRICULAR_BLOCK","SYSTEMATIC_NAME":"M37898","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011705","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011705","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"First degree atrioventricular block","DESCRIPTION_FULL":"Delay of conduction through the atrioventricular node, which is manifested as prolongation of the PR interval in the electrocardiogram (EKG). All atrial impulses reach the ventricles. [DDD:dbrown, HPO:probinson]"}
{"STANDARD_NAME":"HP_SECOND_DEGREE_ATRIOVENTRICULAR_BLOCK","SYSTEMATIC_NAME":"M37899","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011706","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011706","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Second degree atrioventricular block","DESCRIPTION_FULL":"An intermittent atrioventricular block with failure of some atrial impulses to conduct to the ventricles, i.e., some but not all atrial impulses are conducted through the atrioventricular node and trigger ventricular contraction. [DDD:dbrown, HPO:probinson]"}
{"STANDARD_NAME":"HP_BUNDLE_BRANCH_BLOCK","SYSTEMATIC_NAME":"M37900","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011710","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011710","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Bundle branch block","DESCRIPTION_FULL":"Block of conduction of electrical impulses along the Bundle of His or along one of its bundle branches. [DDD:dbrown, HPO:probinson]"}
{"STANDARD_NAME":"HP_LEFT_ANTERIOR_FASCICULAR_BLOCK","SYSTEMATIC_NAME":"M37901","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011711","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011711","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Left anterior fascicular block","DESCRIPTION_FULL":"Conduction block in the anterior division of the left bundle branch of the bundle of His. [DDD:dbrown]"}
{"STANDARD_NAME":"HP_RIGHT_BUNDLE_BRANCH_BLOCK","SYSTEMATIC_NAME":"M37902","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011712","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011712","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Right bundle branch block","DESCRIPTION_FULL":"A conduction block of the right branch of the bundle of His. This manifests as a prolongation of the QRS complex (greater than 0.12 s) with delayed activation of the right ventricle and terminal delay on the EKG. [DDD:dbrown, HPO:probinson]"}
{"STANDARD_NAME":"HP_LEFT_BUNDLE_BRANCH_BLOCK","SYSTEMATIC_NAME":"M37903","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011713","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011713","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Left bundle branch block","DESCRIPTION_FULL":"A conduction block of the left branch of the bundle of His. This manifests as a generalized disturbance of QRS morphology on EKG. [DDD:dbrown, HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_PULMONARY_VEINS","SYSTEMATIC_NAME":"M37904","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011718","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011718","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the pulmonary veins","DESCRIPTION_FULL":"An abnormality of the pulmonary veins. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CONGENITAL_MALFORMATION_OF_THE_RIGHT_HEART","SYSTEMATIC_NAME":"M37905","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011723","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011723","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Congenital malformation of the right heart","DESCRIPTION_FULL":"Defect or defects of the morphogenesis of the right heart identifiable at birth. []"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_JOINT_MOBILITY","SYSTEMATIC_NAME":"M37906","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011729","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011729","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of joint mobility","DESCRIPTION_FULL":"An abnormality in the range and ease of motion of joints across their normal range. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_CENTRAL_SENSORY_FUNCTION","SYSTEMATIC_NAME":"M37907","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011730","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011730","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal central sensory function","DESCRIPTION_FULL":"An abnormality of sensation related to CNS function. Assuming the primary sensory modalities are intact and the patient is alert and cooperative, the presence of an abnormality of sensory function may indicate a lesion of a parietal cortex, the thalamocortical projections to the parietal cortex, or the spinal cord. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_ADRENAL_MORPHOLOGY","SYSTEMATIC_NAME":"M37908","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011732","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011732","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of adrenal morphology","DESCRIPTION_FULL":"Any structural anomaly of the adrenal glands. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_ADRENAL_PHYSIOLOGY","SYSTEMATIC_NAME":"M37909","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011733","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011733","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of adrenal physiology","DESCRIPTION_FULL":"A functional abnormality of the adrenal glands. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CENTRAL_ADRENAL_INSUFFICIENCY","SYSTEMATIC_NAME":"M37910","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011734","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011734","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Central adrenal insufficiency","DESCRIPTION_FULL":"A form of adrenal insufficiency related to a lack of ACTH, which leads to a decrease in the production of cortisol by the adrenal glands. Aldosterone production is not usually affected. [DDD:spark]"}
{"STANDARD_NAME":"HP_ADRENOCORTICOTROPIN_DEFICIENT_ADRENAL_INSUFFICIENCY","SYSTEMATIC_NAME":"M37911","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011735","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011735","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Adrenocorticotropin deficient adrenal insufficiency","DESCRIPTION_FULL":"Adrenal insufficiency secondary to a defect in ACTH production. [DDD:spark]"}
{"STANDARD_NAME":"HP_PRIMARY_HYPERALDOSTERONISM","SYSTEMATIC_NAME":"M37912","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011736","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011736","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Primary hyperaldosteronism","DESCRIPTION_FULL":"A form of hyperaldosteronism caused by a defect within the adrenal gland. [DDD:spark]"}
{"STANDARD_NAME":"HP_ADRENOCORTICOTROPIC_HORMONE_DEFICIENCY","SYSTEMATIC_NAME":"M37913","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011748","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011748","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Adrenocorticotropic hormone deficiency","DESCRIPTION_FULL":"A reduced ability to secrete adrenocorticotropic hormone (ACTH), a hormone that stimulates the adrenal cortex to secrete of glucocorticoids such as cortisol. [DDD:spark]"}
{"STANDARD_NAME":"HP_ADRENOCORTICOTROPIC_HORMONE_EXCESS","SYSTEMATIC_NAME":"M37914","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011749","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011749","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Adrenocorticotropic hormone excess","DESCRIPTION_FULL":"Overproduction of adrenocorticotropic hormone (ACTH), which generally leads secondarily to overproduction of cortisol by the adrenal cortex. [DDD:spark]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_POSTERIOR_PITUITARY","SYSTEMATIC_NAME":"M37915","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011751","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011751","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the posterior pituitary","DESCRIPTION_FULL":"An abnormality of the neurohypophysis, which is also known as the posterior lobe of the hypophysis. [DDD:spark, HPO:probinson]"}
{"STANDARD_NAME":"HP_POSTERIOR_PITUITARY_DYSGENESIS","SYSTEMATIC_NAME":"M37916","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011753","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011753","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Posterior pituitary dysgenesis","DESCRIPTION_FULL":"Abnormal development of the neurohypophysis during embryonic growth and development. [DDD:spark]"}
{"STANDARD_NAME":"HP_PITUITARY_GROWTH_HORMONE_CELL_ADENOMA","SYSTEMATIC_NAME":"M37917","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011760","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011760","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pituitary growth hormone cell adenoma","DESCRIPTION_FULL":"A type of pituitary adenoma that produces growth hormone. [DDD:spark]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_PARATHYROID_MORPHOLOGY","SYSTEMATIC_NAME":"M37918","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011766","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011766","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the parathyroid morphology","DESCRIPTION_FULL":"A structural abnormality of the parathyroid gland. [DDD:spark, HPO:probinson]"}
{"STANDARD_NAME":"HP_PARATHYROID_DYSGENESIS","SYSTEMATIC_NAME":"M37919","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011768","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011768","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Parathyroid dysgenesis","DESCRIPTION_FULL":"Abnormal embryonic development of the parathyroid gland. [DDD:spark]"}
{"STANDARD_NAME":"HP_ABNORMAL_THYROID_MORPHOLOGY","SYSTEMATIC_NAME":"M37920","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011772","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011772","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal thyroid morphology","DESCRIPTION_FULL":"A structural abnormality of the thyroid gland. [DDD:spark]"}
{"STANDARD_NAME":"HP_THYROTOXICOSIS_WITH_DIFFUSE_GOITER","SYSTEMATIC_NAME":"M37921","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011784","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011784","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Thyrotoxicosis with diffuse goiter"}
{"STANDARD_NAME":"HP_CENTRAL_HYPOTHYROIDISM","SYSTEMATIC_NAME":"M37922","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011787","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011787","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Central hypothyroidism","DESCRIPTION_FULL":"A type of hypothyroidism due to an insufficient stimulation of an otherwise normal thyroid gland. Central hypothyroidism is caused by either pituitary (secondary hypothyroidism) or hypothalamic (tertiary hypothyroidism) defects. [DDD:spark, PMID:18415684]"}
{"STANDARD_NAME":"HP_NEOPLASM_BY_HISTOLOGY","SYSTEMATIC_NAME":"M37923","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011792","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011792","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neoplasm by histology","DESCRIPTION_FULL":"Neoplasm categorized according to type of histological abnormality. [DDD:rscott]"}
{"STANDARD_NAME":"HP_EMBRYONAL_RENAL_NEOPLASM","SYSTEMATIC_NAME":"M37924","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011794","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011794","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Embryonal renal neoplasm","DESCRIPTION_FULL":"The presence of an embryonal neoplasm of the kidney that primarily affects children. [DDD:rscott]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_FACIAL_SOFT_TISSUE","SYSTEMATIC_NAME":"M37925","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011799","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011799","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of facial soft tissue"}
{"STANDARD_NAME":"HP_MIDFACE_RETRUSION","SYSTEMATIC_NAME":"M37926","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011800","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011800","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Midface retrusion","DESCRIPTION_FULL":"Posterior positions and/or vertical shortening of the infraorbital and perialar regions, or increased concavity of the face and/or reduced nasolabial angle. [DDD:jclayton-smith, PMID:19125436]"}
{"STANDARD_NAME":"HP_HAMARTOMA_OF_TONGUE","SYSTEMATIC_NAME":"M37927","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011802","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011802","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hamartoma of tongue","DESCRIPTION_FULL":"A benign (noncancerous) tumorlike malformation made up of an abnormal mixture of cells and tissues that originates in the tongue. [HPO:probinson, PMID:17667541]"}
{"STANDARD_NAME":"HP_BIFID_NOSE","SYSTEMATIC_NAME":"M37928","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011803","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011803","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Bifid nose","DESCRIPTION_FULL":"Visually assessable vertical indentation, cleft, or depression of the nasal bridge, ridge and tip. [PMID:19152422]"}
{"STANDARD_NAME":"HP_TYPE_1_MUSCLE_FIBER_ATROPHY","SYSTEMATIC_NAME":"M37929","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011807","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011807","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Type 1 muscle fiber atrophy","DESCRIPTION_FULL":"Atrophy (wasting) affecting primary type 1 muscle fibers. This feature in general can only be observed on muscle biopsy. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DECREASED_PATELLAR_REFLEX","SYSTEMATIC_NAME":"M37930","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011808","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011808","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased patellar reflex","DESCRIPTION_FULL":"Decreased intensity of the patellar reflex (also known as the knee jerk reflex). [HPO:probinson]"}
{"STANDARD_NAME":"HP_INCREASED_CEREBRAL_LIPOFUSCIN","SYSTEMATIC_NAME":"M37931","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011813","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011813","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased cerebral lipofuscin","DESCRIPTION_FULL":"Lipofuscin (age pigment) is a brown-yellow, electron-dense, autofluorescent material that accumulates progressively over time in lysosomes of postmitotic cells, such as neurons and cardiac myocytes. This term pertains if there is an increase in the accumulation of lipofuscin (also known as autofluorescent lipoprotein) more than expected for the age of the patient. [HPO:probinson, PMID:9531959]"}
{"STANDARD_NAME":"HP_BASAL_ENCEPHALOCELE","SYSTEMATIC_NAME":"M41421","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011817","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011817","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Basal encephalocele","DESCRIPTION_FULL":"Basal encephalocele is an encephalocele that occurs along the cribriform plate or through the sphenoid bone. The mass may appear in the nasal cavity, nasopharynx, epipharynx, sphenoid sinus, posterior orbit, or pterygopalatine fossa. The important distinction from other types is that no external tumor is visible except in those rare instances of herniations so large that they protrude through the mouth or nares. [HPO:probinson, PMID:4966739]"}
{"STANDARD_NAME":"HP_SUBMUCOUS_CLEFT_SOFT_PALATE","SYSTEMATIC_NAME":"M37932","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011819","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011819","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Submucous cleft soft palate","DESCRIPTION_FULL":"A cleft of the muscular (soft) portion of the palate that is covered by mucous membrane. Soft-palate submucous clefts are characterized by a midline deficiency or lack of muscle tissue. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_FACIAL_SKELETON","SYSTEMATIC_NAME":"M37933","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011821","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011821","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of facial skeleton","DESCRIPTION_FULL":"An abnormality of one or more of the set of bones that make up the facial skeleton. [DDD:awilkie]"}
{"STANDARD_NAME":"HP_BROAD_CHIN","SYSTEMATIC_NAME":"M37934","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011822","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011822","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Broad chin","DESCRIPTION_FULL":"Increased width of the midpoint of the mandible (mental protuberance) and overlying soft tissue. [PMID:19125436]"}
{"STANDARD_NAME":"HP_CHIN_WITH_HORIZONTAL_CREASE","SYSTEMATIC_NAME":"M41422","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011823","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011823","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Chin with horizontal crease","DESCRIPTION_FULL":"Horizontal crease or fold situated below the vermilion border of the lower lip and above the fatty pad of the chin, with the face at rest. [PMID:19125436]"}
{"STANDARD_NAME":"HP_ABNORMAL_ORAL_MUCOSA_MORPHOLOGY","SYSTEMATIC_NAME":"M37935","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011830","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011830","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal oral mucosa morphology","DESCRIPTION_FULL":"Abnormality of the oral mucosa. [HPO:probinson]"}
{"STANDARD_NAME":"HP_OVERHANGING_NASAL_TIP","SYSTEMATIC_NAME":"M41423","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011833","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011833","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Overhanging nasal tip","DESCRIPTION_FULL":"Positioning of the nasal tip inferior to the nasal base. [PMID:19152422]"}
{"STANDARD_NAME":"HP_MOYAMOYA_PHENOMENON","SYSTEMATIC_NAME":"M37936","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011834","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011834","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Moyamoya phenomenon","DESCRIPTION_FULL":"A noninflammatory, progressive occlusion of the intracranial carotid arteries owing to the formation of netlike collateral arteries arising from the circle of Willis. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_T_CELL_PHYSIOLOGY","SYSTEMATIC_NAME":"M37937","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011840","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011840","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of T cell physiology","DESCRIPTION_FULL":"A functional anomaly of T cells. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_STERNAL_OSSIFICATION","SYSTEMATIC_NAME":"M37938","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011863","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011863","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal sternal ossification","DESCRIPTION_FULL":"Any anomaly in the formation of the bony substance of the sternum. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_WING_OF_THE_ILIUM","SYSTEMATIC_NAME":"M37939","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011867","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011867","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the wing of the ilium","DESCRIPTION_FULL":"An anomaly of the ilium ala. This is the large expanded portion of the ilum which bounds the greater pelvis laterally. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_PLATELET_FUNCTION","SYSTEMATIC_NAME":"M37940","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011869","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011869","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal platelet function","DESCRIPTION_FULL":"Any anomaly in the function of thrombocytes. [HPO:probinson]"}
{"STANDARD_NAME":"HP_IMPAIRED_RISTOCETIN_INDUCED_PLATELET_AGGREGATION","SYSTEMATIC_NAME":"M37941","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011871","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011871","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Impaired ristocetin-induced platelet aggregation","DESCRIPTION_FULL":"Abnormal response to ristocetin as manifested by reduced or lacking aggregation of platelets upon addition of ristocetin. [DDD:wouwehand]"}
{"STANDARD_NAME":"HP_ABNORMAL_PLATELET_MORPHOLOGY","SYSTEMATIC_NAME":"M37943","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011875","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011875","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal platelet morphology","DESCRIPTION_FULL":"An anomaly in platelet form, ultrastructure, or intracellular organelles. [DDD:kfreson]"}
{"STANDARD_NAME":"HP_ABNORMAL_PLATELET_VOLUME","SYSTEMATIC_NAME":"M37944","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011876","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011876","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal platelet volume","DESCRIPTION_FULL":"Anomalous size of platelets. Most normal sized platelets are 1.5 to 3 micrometers in diameter. Large platelets are 4 to 7 micrometers. Giant platelets are larger than 7 micrometers and usually 10 to 20 micrometers. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_PLATELET_MEMBRANE_PROTEIN_EXPRESSION","SYSTEMATIC_NAME":"M37945","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011878","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011878","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal platelet membrane protein expression","DESCRIPTION_FULL":"Presence of reduced amount of a membrane protein on the cell membrane of platelets. This feature is typically measured by flow cytometry. [DDD:wouwehand]"}
{"STANDARD_NAME":"HP_ABNORMAL_PLATELET_GRANULES","SYSTEMATIC_NAME":"M37946","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011883","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011883","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal platelet granules","DESCRIPTION_FULL":"An anomaly of alpha or dense granules or platelet lysosomes. [DDD:wouwehand, PMID:18041654]"}
{"STANDARD_NAME":"HP_ABNORMAL_UMBILICAL_STUMP_BLEEDING","SYSTEMATIC_NAME":"M37947","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011884","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011884","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal umbilical stump bleeding","DESCRIPTION_FULL":"Abnormal bleeding of the umbilical stump following separation of the cord at approximately 7-10 days after birth. [DDD:akelly]"}
{"STANDARD_NAME":"HP_HEMORRHAGE_OF_THE_EYE","SYSTEMATIC_NAME":"M37948","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011885","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011885","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hemorrhage of the eye","DESCRIPTION_FULL":"Bleeding from vessels of the various tissues of the eye. [DDD:akelly]"}
{"STANDARD_NAME":"HP_BLEEDING_WITH_MINOR_OR_NO_TRAUMA","SYSTEMATIC_NAME":"M37949","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011889","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011889","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Bleeding with minor or no trauma","DESCRIPTION_FULL":"Significant bleeding or hemorrhage without significant precipitating factor. [DDD:kfreson]"}
{"STANDARD_NAME":"HP_PROLONGED_BLEEDING_FOLLOWING_PROCEDURE","SYSTEMATIC_NAME":"M37950","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011890","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011890","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Prolonged bleeding following procedure","DESCRIPTION_FULL":"Prolonged or protracted bleeding following an invasive procedure or intervention. [DDD:akelly]"}
{"STANDARD_NAME":"HP_POST_PARTUM_HEMORRHAGE","SYSTEMATIC_NAME":"M37951","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011891","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011891","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Post-partum hemorrhage","DESCRIPTION_FULL":"Significant maternal haemorrhage/blood loss following deilvery of a child. [DDD:akelly]"}
{"STANDARD_NAME":"HP_ABNORMAL_LEUKOCYTE_COUNT","SYSTEMATIC_NAME":"M37952","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011893","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011893","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal leukocyte count","DESCRIPTION_FULL":"Number of leukocytes per volume of blood beyond normal limits. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NEUTROPHILIA","SYSTEMATIC_NAME":"M37953","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011897","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011897","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neutrophilia","DESCRIPTION_FULL":"Increased number of neutrophils circulating in blood. [DDD:akelly]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_CIRCULATING_FIBRINOGEN","SYSTEMATIC_NAME":"M37954","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011898","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011898","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of circulating fibrinogen","DESCRIPTION_FULL":"An abnormality of the level of activity of circulating fibrinogen. [DDD:akelly]"}
{"STANDARD_NAME":"HP_ABNORMAL_HEMOGLOBIN","SYSTEMATIC_NAME":"M37955","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011902","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011902","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal hemoglobin","DESCRIPTION_FULL":"Anomaly in the level or the function of hemoglobin, the oxygen-carrying protein of erythrocytes. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PERSISTENCE_OF_HEMOGLOBIN_F","SYSTEMATIC_NAME":"M37956","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011904","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011904","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Persistence of hemoglobin F","DESCRIPTION_FULL":"Hemoglobin F (HbF) contains two globin alpha chains and two globin gamma chains. It is the main form of hemoglobin in the fetus during the last seven months of intrauterine development and in the half year of postnatal life. In adults it normally makes up less than one percent of all hemoglobin. This term refers to an increase in HbF above this limit. In beta thalassemia major, it may represent over 90 percent of all hemoglobin, and in beta thalassemia minor it may make up between 0.5 to 4 percent. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_METACARPOPHALANGEAL_JOINT","SYSTEMATIC_NAME":"M41424","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011911","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011911","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of metacarpophalangeal joint","DESCRIPTION_FULL":"An anomaly of a metacarpophalangeal joint. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_GLENOID_FOSSA","SYSTEMATIC_NAME":"M41425","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011912","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011912","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the glenoid fossa","DESCRIPTION_FULL":"An anomaly of the glenoid fossa, also known as the glenoid cavity, which is the articular surface of the scapula that articulates with the head of the humerus. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CARDIOVASCULAR_CALCIFICATION","SYSTEMATIC_NAME":"M37957","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011915","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011915","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cardiovascular calcification","DESCRIPTION_FULL":"Abnormal calcification in the cardiovascular system. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_ACTIVITY_OF_MITOCHONDRIAL_RESPIRATORY_CHAIN","SYSTEMATIC_NAME":"M37958","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011922","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011922","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal activity of mitochondrial respiratory chain","DESCRIPTION_FULL":"An increased or decreased activity of the mitochondrial respiratory chain. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DECREASED_ACTIVITY_OF_MITOCHONDRIAL_COMPLEX_I","SYSTEMATIC_NAME":"M37959","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011923","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011923","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased activity of mitochondrial complex I","DESCRIPTION_FULL":"A reduction in the activity of the mitochondrial respiratory chain complex I, which is part of the electron transport chain in mitochondria. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DECREASED_ACTIVITY_OF_MITOCHONDRIAL_COMPLEX_III","SYSTEMATIC_NAME":"M37960","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011924","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011924","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased activity of mitochondrial complex III","DESCRIPTION_FULL":"A reduction in the activity of the mitochondrial respiratory chain complex III, which is part of the electron transport chain in mitochondria. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SHORT_DIGIT","SYSTEMATIC_NAME":"M37961","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011927","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011927","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Short digit","DESCRIPTION_FULL":"One or more digit that appears disproportionately short compared to the hand/foot, whereby either the entire digit or a specific phalanx is shortened. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_SUPERIOR_CEREBELLAR_PEDUNCLE","SYSTEMATIC_NAME":"M41426","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011932","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011932","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the superior cerebellar peduncle","DESCRIPTION_FULL":"An anomaly of the superior cerebellar peduncle. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ELONGATED_SUPERIOR_CEREBELLAR_PEDUNCLE","SYSTEMATIC_NAME":"M37963","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011933","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011933","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Elongated superior cerebellar peduncle","DESCRIPTION_FULL":"Increased length of the superior cerebellar peduncle. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPOPLASTIC_FIFTH_TOENAIL","SYSTEMATIC_NAME":"M37964","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011937","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011937","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypoplastic fifth toenail","DESCRIPTION_FULL":"Underdeveloped nails of the fifth toes. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RESPIRATORY_TRACT_INFECTION","SYSTEMATIC_NAME":"M37965","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011947","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011947","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Respiratory tract infection","DESCRIPTION_FULL":"An infection of the upper or lower respiratory tract. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RECURRENT_ACUTE_RESPIRATORY_TRACT_INFECTION","SYSTEMATIC_NAME":"M37966","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011948","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011948","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Recurrent acute respiratory tract infection","DESCRIPTION_FULL":"A history of repeated acute infections of the upper or lower respiratory tract. [DDD:tkuijpers]"}
{"STANDARD_NAME":"HP_ACUTE_INFECTIOUS_PNEUMONIA","SYSTEMATIC_NAME":"M37967","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011949","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011949","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Acute infectious pneumonia","DESCRIPTION_FULL":"Acute inflammation of the lung due to an infection. [DDD:tkuijpers]"}
{"STANDARD_NAME":"HP_ASPIRATION_PNEUMONIA","SYSTEMATIC_NAME":"M37969","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011951","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011951","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aspiration pneumonia","DESCRIPTION_FULL":"Pneumonia due to the aspiration (breathing in) of food, liquid, or gastric contents into the upper respiratory tract. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RETINAL_PERFORATION","SYSTEMATIC_NAME":"M37970","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011958","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011958","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Retinal perforation","DESCRIPTION_FULL":"A small hole through the whole thickness of the retina. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SUBSTANTIA_NIGRA_GLIOSIS","SYSTEMATIC_NAME":"M37971","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011960","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011960","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Substantia nigra gliosis","DESCRIPTION_FULL":"Focal proliferation of glial cells in the substantia nigra. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NON_OBSTRUCTIVE_AZOOSPERMIA","SYSTEMATIC_NAME":"M37972","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011961","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011961","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Non-obstructive azoospermia","DESCRIPTION_FULL":"Absence of any measurable level of sperm in his semen, resulting from a defect in the production of spermatozoa in the testes. This can be differentiated from obstructive azoospermia on the basis of testicular biopsy. [HPO:probinson, PMID:20514278]"}
{"STANDARD_NAME":"HP_OBSTRUCTIVE_AZOOSPERMIA","SYSTEMATIC_NAME":"M37973","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011962","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011962","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Obstructive azoospermia","DESCRIPTION_FULL":"Absence of any measurable level of sperm in his semen, resulting from post-testicular obstruction or retrograde ejaculation. This can be differentiated from obstructive azoospermia on the basis of testicular biopsy. [HPO:probinson, PMID:20514278]"}
{"STANDARD_NAME":"HP_ABNORMAL_CIRCULATING_CITRULLINE_CONCENTRATION","SYSTEMATIC_NAME":"M37974","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011965","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011965","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal circulating citrulline concentration","DESCRIPTION_FULL":"Any deviation from the normal concentration of citrulline in the blood circulation. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DECREASED_CIRCULATING_COPPER_CONCENTRATION","SYSTEMATIC_NAME":"M41427","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011967","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011967","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased circulating copper concentration","DESCRIPTION_FULL":"A reduced concentration of copper in the blood. [HPO:probinson]"}
{"STANDARD_NAME":"HP_FEEDING_DIFFICULTIES","SYSTEMATIC_NAME":"M37975","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011968","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011968","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Feeding difficulties","DESCRIPTION_FULL":"Impaired ability to eat related to problems gathering food and getting ready to suck, chew, or swallow it. [ISCA:eriggs]"}
{"STANDARD_NAME":"HP_CEREBRAL_AMYLOID_ANGIOPATHY","SYSTEMATIC_NAME":"M37976","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011970","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011970","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cerebral amyloid angiopathy","DESCRIPTION_FULL":"Amyloid deposition in the walls of leptomeningeal and cortical arteries, arterioles, and less often capillaries and veins of the central nervous system. [HPO:probinson, PMID:21519520]"}
{"STANDARD_NAME":"HP_HYPOGLYCORRHACHIA","SYSTEMATIC_NAME":"M37977","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011972","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011972","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypoglycorrhachia","DESCRIPTION_FULL":"Abnormally low glucose concentration in the cerebrospinal fluid. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MYELOFIBROSIS","SYSTEMATIC_NAME":"M37978","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011974","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011974","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Myelofibrosis","DESCRIPTION_FULL":"Replacement of bone marrow by fibrous tissue. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ACHOLIC_STOOLS","SYSTEMATIC_NAME":"M37979","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011985","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011985","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Acholic stools","DESCRIPTION_FULL":"Clay colored stools lacking bile pigment. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_NEUTROPHIL_PHYSIOLOGY","SYSTEMATIC_NAME":"M37980","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011990","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011990","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of neutrophil physiology","DESCRIPTION_FULL":"A functional abnormality of neutrophils. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_NEUTROPHIL_COUNT","SYSTEMATIC_NAME":"M37981","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011991","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011991","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal neutrophil count","DESCRIPTION_FULL":"A deviation from the normal range of neutrophil cell counts in the circulation. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_NEUTROPHIL_MORPHOLOGY","SYSTEMATIC_NAME":"M37982","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011992","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011992","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of neutrophil morphology","DESCRIPTION_FULL":"An abnormal form or size of neutrophils. [HPO:probinson]"}
{"STANDARD_NAME":"HP_IMPAIRED_NEUTROPHIL_BACTERICIDAL_ACTIVITY","SYSTEMATIC_NAME":"M37983","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011993","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011993","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Impaired neutrophil bactericidal activity","DESCRIPTION_FULL":"A reduction in the ability of neutrophils to kill bacteria. [HPO:probinson]"}
{"STANDARD_NAME":"HP_POSTPRANDIAL_HYPERGLYCEMIA","SYSTEMATIC_NAME":"M37984","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011998","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011998","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Postprandial hyperglycemia","DESCRIPTION_FULL":"An increased concentration of glucose in the blood following a meal. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PARANOIA","SYSTEMATIC_NAME":"M37985","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0011999","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0011999","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Paranoia","DESCRIPTION_FULL":"A persecutory delusion of supposed hostility of others. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LENS_LUXATION","SYSTEMATIC_NAME":"M37986","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012019","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012019","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Lens luxation","DESCRIPTION_FULL":"Complete dislocation of the lens of the eye. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RIGHT_AORTIC_ARCH","SYSTEMATIC_NAME":"M37987","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012020","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012020","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Right aortic arch","DESCRIPTION_FULL":"Aorta descends on right instead of on the left. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPERGALACTOSEMIA","SYSTEMATIC_NAME":"M41428","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012024","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012024","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypergalactosemia","DESCRIPTION_FULL":"Elevated concentration of galactose in the blood. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HEPATOCELLULAR_ADENOMA","SYSTEMATIC_NAME":"M37988","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012028","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012028","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hepatocellular adenoma","DESCRIPTION_FULL":"A benign tumor of the liver of presumably epithelial origin. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_URINE_HORMONE_LEVEL","SYSTEMATIC_NAME":"M37989","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012029","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012029","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal urine hormone level","DESCRIPTION_FULL":"An abnormal concentration of a hormone in the urine. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LIPOMA","SYSTEMATIC_NAME":"M37990","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012032","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012032","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Lipoma","DESCRIPTION_FULL":"Benign neoplasia derived from lipoblasts or lipocytes of white or brown fat. May be angiomatous or hibernomatous. [MPATH:417]"}
{"STANDARD_NAME":"HP_CORNEAL_STROMAL_EDEMA","SYSTEMATIC_NAME":"M37991","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012040","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012040","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Corneal stromal edema","DESCRIPTION_FULL":"Abnormal accumulation of fluid and swelling of the stroma of cornea. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DECREASED_FERTILITY_IN_MALES","SYSTEMATIC_NAME":"M37992","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012041","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012041","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased fertility in males"}
{"STANDARD_NAME":"HP_PENDULAR_NYSTAGMUS","SYSTEMATIC_NAME":"M37993","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012043","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012043","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pendular nystagmus","DESCRIPTION_FULL":"Rhythmic, involuntary sinusoidal oscillations of one or both eyes. The waveform of pendular nystagmus may occur in any direction. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SEESAW_NYSTAGMUS","SYSTEMATIC_NAME":"M41429","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012044","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012044","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Seesaw nystagmus","DESCRIPTION_FULL":"Seesaw nystagmus is a type of pendular nystagmus where a half cycle consists of the elevation and intorsion of one eye, concurrently with the depression and extortion of the fellow eye. In the other half cycle, there is an inversion of the ocular movements. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RETINAL_FLECKS","SYSTEMATIC_NAME":"M37994","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012045","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012045","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Retinal flecks","DESCRIPTION_FULL":"Presence of multiple yellowish-white lesions of various size and configuration on the retina not related to vascular lesions. [PMID:7952338]"}
{"STANDARD_NAME":"HP_HEMERALOPIA","SYSTEMATIC_NAME":"M37995","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012047","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012047","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hemeralopia","DESCRIPTION_FULL":"A visual defect characterized by the inability to see as clearly in bright light as in dim light. The word hemeralopia literally means day blindness. [HPO:probinson]"}
{"STANDARD_NAME":"HP_OROMANDIBULAR_DYSTONIA","SYSTEMATIC_NAME":"M37996","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012048","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012048","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Oromandibular dystonia","DESCRIPTION_FULL":"A kind of focal dystonia characterized by forceful contractions of the face, jaw, and/or tongue causing difficulty in opening and closing the mouth and often affecting chewing and speech. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LARYNGEAL_DYSTONIA","SYSTEMATIC_NAME":"M37997","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012049","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012049","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Laryngeal dystonia","DESCRIPTION_FULL":"A form of focal dystonia that affects the vocal cords, associated with involuntary contractions of the vocal cords causing interruptions of speech and affecting the voice quality and often leading to patterned, repeated breaks in speech. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LOW_SERUM_CALCITRIOL","SYSTEMATIC_NAME":"M37998","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012052","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012052","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Low serum calcitriol","DESCRIPTION_FULL":"A reduced concentration of calcitriol in the blood. Calcitriol is also known as 1,25-dihydroxycholecalciferol or 1,25-dihydroxyvitamin D3. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CUTANEOUS_MELANOMA","SYSTEMATIC_NAME":"M37999","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012056","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012056","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cutaneous melanoma","DESCRIPTION_FULL":"The presence of a melanoma of the skin. [HPO:probinson]"}
{"STANDARD_NAME":"HP_BONE_CYST","SYSTEMATIC_NAME":"M38000","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012062","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012062","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Bone cyst","DESCRIPTION_FULL":"A fluid filled cavity that develops with a bone. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_CIRCULATING_ACETYLCARNITINE_CONCENTRATION","SYSTEMATIC_NAME":"M38001","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012071","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012071","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal circulating acetylcarnitine concentration","DESCRIPTION_FULL":"Any deviation from the normal concentration in the blood circulation of acylcarnitine, which is produced by reversible esterification of the 3-hydroxyl group of carnitine. [HPO:probinson, PMID:18281923, PMID:23258903, PMID:6348429]"}
{"STANDARD_NAME":"HP_PERSONALITY_DISORDER","SYSTEMATIC_NAME":"M38002","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012075","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012075","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Personality disorder","DESCRIPTION_FULL":"An abnormality of mental functioning affecting the personality and behavioural tendencies of an individual and characterized by a rigid and unhealthy pattern of thinking and behavior. The definition of a personal disorder implies that the abnormality is not the result of damage or insult to the brain or from another psychiatric disorder. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ENLARGED_CEREBELLUM","SYSTEMATIC_NAME":"M41430","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012081","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012081","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Enlarged cerebellum","DESCRIPTION_FULL":"An abnormally increased size of the cerebellum compared to other brain structures. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_SKELETAL_MUSCLE_FIBER_SIZE","SYSTEMATIC_NAME":"M38003","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012084","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012084","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of skeletal muscle fiber size","DESCRIPTION_FULL":"Any abnormality of the size of the skeletal muscle cell. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_PANCREAS_MORPHOLOGY","SYSTEMATIC_NAME":"M38004","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012090","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012090","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal pancreas morphology"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_PANCREAS_PHYSIOLOGY","SYSTEMATIC_NAME":"M38005","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012091","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012091","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of pancreas physiology","DESCRIPTION_FULL":"An anomaly of the function of the pancreas. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_EXOCRINE_PANCREAS_PHYSIOLOGY","SYSTEMATIC_NAME":"M38006","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012092","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012092","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of exocrine pancreas physiology","DESCRIPTION_FULL":"A functional anomaly of the acinar gland portion of the pancreas that secretes digestive enzymes. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_ENDOCRINE_PANCREAS_PHYSIOLOGY","SYSTEMATIC_NAME":"M38007","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012093","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012093","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of endocrine pancreas physiology","DESCRIPTION_FULL":"A function abnormality of the endocrine pancreas. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_PANCREAS_SIZE","SYSTEMATIC_NAME":"M38008","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012094","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012094","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal pancreas size","DESCRIPTION_FULL":"A deviation from the normal size of the pancreas. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MULTIPLE_JOINT_DISLOCATION","SYSTEMATIC_NAME":"M41431","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012095","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012095","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Multiple joint dislocation","DESCRIPTION_FULL":"Dislocation of many joints. [HPO:probinson]"}
{"STANDARD_NAME":"HP_EDEMA_OF_THE_DORSUM_OF_FEET","SYSTEMATIC_NAME":"M41432","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012098","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012098","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Edema of the dorsum of feet","DESCRIPTION_FULL":"An abnormal accumulation of fluid beneath the skin on the back of the feet. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_CIRCULATING_CREATININE_CONCENTRATION","SYSTEMATIC_NAME":"M38009","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012100","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012100","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal circulating creatinine concentration","DESCRIPTION_FULL":"An abnormal concentration of creatinine in the blood. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_MITOCHONDRIAL_NUMBER","SYSTEMATIC_NAME":"M41433","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012102","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012102","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal mitochondrial number","DESCRIPTION_FULL":"A deviation from the normal number of mitochondria per cell. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_MITOCHONDRION","SYSTEMATIC_NAME":"M38010","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012103","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012103","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the mitochondrion","DESCRIPTION_FULL":"An anomaly of the mitochondrion, the membranous cytoplasmic organelle the interior of which is subdivided by cristae. The mitochondrion is a self replicating organelle that is the site of tissue respiration. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PARIETAL_CORTICAL_ATROPHY","SYSTEMATIC_NAME":"M41434","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012104","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012104","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Parietal cortical atrophy","DESCRIPTION_FULL":"Atrophy of the parietal cortex. [HPO:probinson]"}
{"STANDARD_NAME":"HP_OCCIPITAL_CORTICAL_ATROPHY","SYSTEMATIC_NAME":"M41435","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012105","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012105","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Occipital cortical atrophy","DESCRIPTION_FULL":"Atrophy of the occipital cortex. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INCREASED_FIBULAR_DIAMETER","SYSTEMATIC_NAME":"M38011","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012107","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012107","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased fibular diameter","DESCRIPTION_FULL":"Increased width of the cross sectional diameter of the fibula. [HPO:probinson, MP:0008159]"}
{"STANDARD_NAME":"HP_OPEN_ANGLE_GLAUCOMA","SYSTEMATIC_NAME":"M38012","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012108","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012108","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Open angle glaucoma","DESCRIPTION_FULL":"A type of glaucoma defined by an open, normal appearing anterior chamber angle and raised intraocular pressure, [HPO:probinson, PMID:11815354]"}
{"STANDARD_NAME":"HP_HYPOPLASIA_OF_THE_PONS","SYSTEMATIC_NAME":"M38013","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012110","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012110","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypoplasia of the pons","DESCRIPTION_FULL":"Underdevelopment of the pons. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_CIRCULATING_GLUCOCORTICOID_LEVEL","SYSTEMATIC_NAME":"M38014","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012111","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012111","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of circulating glucocorticoid level","DESCRIPTION_FULL":"An abnormality of the concentration of a glucocorticoid in the blood. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HEPATITIS","SYSTEMATIC_NAME":"M38015","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012115","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012115","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hepatitis","DESCRIPTION_FULL":"Inflammation of the liver. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_CIRCULATING_ALBUMIN_CONCENTRATION","SYSTEMATIC_NAME":"M38016","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012116","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012116","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal circulating albumin concentration","DESCRIPTION_FULL":"Deviation from normal concentration of albumin in the blood. [HPO:probinson]"}
{"STANDARD_NAME":"HP_METHYLMALONIC_ACIDURIA","SYSTEMATIC_NAME":"M38017","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012120","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012120","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Methylmalonic aciduria","DESCRIPTION_FULL":"Increased concentration of methylmalonic acid in the urine. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ANTERIOR_UVEITIS","SYSTEMATIC_NAME":"M38018","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012122","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012122","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Anterior uveitis","DESCRIPTION_FULL":"Inflammation of the uveal tract in which the primary site of inflammation is the anterior chamber. [HPO:probinson]"}
{"STANDARD_NAME":"HP_POSTERIOR_UVEITIS","SYSTEMATIC_NAME":"M38019","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012123","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012123","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Posterior uveitis","DESCRIPTION_FULL":"Inflammation of the uveal tract in which the primary site of inflammation is the retina or choroid. [HPO:probinson]"}
{"STANDARD_NAME":"HP_STOMACH_CANCER","SYSTEMATIC_NAME":"M38020","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012126","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012126","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Stomach cancer","DESCRIPTION_FULL":"A cancer arising in any part of the stomach. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_NUMBER_OF_ERYTHROID_PRECURSORS","SYSTEMATIC_NAME":"M38021","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012131","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012131","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal number of erythroid precursors","DESCRIPTION_FULL":"A deviation from the normal count of erythroid precursor cells, that is, erythroid lineage cells in the bone marrow. [DDD:akelly]"}
{"STANDARD_NAME":"HP_ERYTHROID_HYPERPLASIA","SYSTEMATIC_NAME":"M38022","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012132","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012132","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Erythroid hyperplasia","DESCRIPTION_FULL":"Increased count of erythroid precursor cells, that is, erythroid lineage cells in the bone marrow. [DDD:akelly]"}
{"STANDARD_NAME":"HP_ERYTHROID_HYPOPLASIA","SYSTEMATIC_NAME":"M38023","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012133","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012133","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Erythroid hypoplasia","DESCRIPTION_FULL":"Decreased count of erythroid precursor cells, that is, erythroid lineage cells in the bone marrow. [DDD:akelly]"}
{"STANDARD_NAME":"HP_ABNORMAL_GRANULOCYTOPOIETIC_CELL_MORPHOLOGY","SYSTEMATIC_NAME":"M38024","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012135","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012135","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal granulocytopoietic cell morphology","DESCRIPTION_FULL":"An anomaly of cells involved in the formation of a granulocytes, that is, of the granulocytopoietic cell. [DDD:akelly]"}
{"STANDARD_NAME":"HP_ABNORMAL_MEGAKARYOCYTE_MORPHOLOGY","SYSTEMATIC_NAME":"M38025","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012143","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012143","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal megakaryocyte morphology","DESCRIPTION_FULL":"Any structural anomaly of megakaryocytes. Mature blood platelets are released from the cytoplasm of megakaryocytes, which are bone-marrow resident cells. []"}
{"STANDARD_NAME":"HP_ABNORMAL_MONOCYTE_MORPHOLOGY","SYSTEMATIC_NAME":"M38026","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012144","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012144","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal monocyte morphology","DESCRIPTION_FULL":"Any structural anomaly of a myeloid mononuclear recirculating leukocyte that can act as a precursor of tissue macrophages, osteoclasts and some populations of tissue dendritic cells. []"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_VON_WILLEBRAND_FACTOR","SYSTEMATIC_NAME":"M38027","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012146","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012146","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of von Willebrand factor","DESCRIPTION_FULL":"Decreased quantity or activity of von Willebrand factor. Von Willebrand factor mediates the adhesion of platelets to the collagen exposed on endothelial cell surfaces. [DDD:akelly]"}
{"STANDARD_NAME":"HP_HYPOTRIGLYCERIDEMIA","SYSTEMATIC_NAME":"M38028","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012153","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012153","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypotriglyceridemia","DESCRIPTION_FULL":"An decrease in the level of triglycerides in the blood. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HEMOPHAGOCYTOSIS","SYSTEMATIC_NAME":"M38029","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012156","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012156","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hemophagocytosis","DESCRIPTION_FULL":"Phagocytosis by macrophages of erythrocytes, leukocytes, platelets, and their precursors in bone marrow and other tissues. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SUBCORTICAL_CEREBRAL_ATROPHY","SYSTEMATIC_NAME":"M38030","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012157","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012157","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Subcortical cerebral atrophy","DESCRIPTION_FULL":"Atrophy of the cerebral subcortical white and gray matter, termed subcortical atrophy, reflects loss of nerve cells in the basal ganglia or fibers in the deep white matter. [HPO:probinson, PMID:20813998]"}
{"STANDARD_NAME":"HP_ASTERIXIS","SYSTEMATIC_NAME":"M41436","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012164","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012164","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Asterixis","DESCRIPTION_FULL":"A clinical sign indicating a lapse of posture and is usually manifest by a bilateral flapping tremor at the wrist, metacarpophalangeal, and hip joints. [HPO:probinson]"}
{"STANDARD_NAME":"HP_OLIGODACTYLY","SYSTEMATIC_NAME":"M38031","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012165","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012165","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Oligodactyly","DESCRIPTION_FULL":"A developmental defect resulting in the presence of fewer than the normal number of digits. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SKIN_PICKING","SYSTEMATIC_NAME":"M41437","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012166","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012166","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Skin-picking","DESCRIPTION_FULL":"Repetitive and compulsive picking of skin which results in tissue damage. [HPO:probinson, PMID:20575652]"}
{"STANDARD_NAME":"HP_HEAD_BANGING","SYSTEMATIC_NAME":"M41438","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012168","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012168","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Head-banging","DESCRIPTION_FULL":"Habitual striking of one's own head against a surface such as a mattress or wall of a crib. [HPO:probinson]"}
{"STANDARD_NAME":"HP_STEREOTYPICAL_HAND_WRINGING","SYSTEMATIC_NAME":"M38032","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012171","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012171","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Stereotypical hand wringing","DESCRIPTION_FULL":"Habitual clasping and squeezing of the hands. [HPO:probinson]"}
{"STANDARD_NAME":"HP_GLIOBLASTOMA_MULTIFORME","SYSTEMATIC_NAME":"M38033","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012174","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012174","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Glioblastoma multiforme","DESCRIPTION_FULL":"A tumor arising from glia in the central nervous system with macroscopic regions of necrosis and hemorrhage. Microscopically, glioblastoma multiforme is characterized by regions of pseudopalisading necrosis, pleomorphic nuclei and cells, and microvascular proliferation. [HPO:probinson, NCIT:C3058, PMID:10841526]"}
{"STANDARD_NAME":"HP_ABNORMAL_NATURAL_KILLER_CELL_MORPHOLOGY","SYSTEMATIC_NAME":"M38034","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012176","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012176","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal natural killer cell morphology","DESCRIPTION_FULL":"An anomaly of the natural killer cell, which is a lymphocyte that can spontaneously kill a variety of target cells without prior antigenic activation via germline encoded activation receptors. It also regulates immune responses via cytokine release and direct contact with other cells. [HPO:probinson, PMID:21212348]"}
{"STANDARD_NAME":"HP_ABNORMAL_NATURAL_KILLER_CELL_PHYSIOLOGY","SYSTEMATIC_NAME":"M38035","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012177","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012177","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal natural killer cell physiology","DESCRIPTION_FULL":"A functional anomaly of the natural killer cell. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ENTRAPMENT_NEUROPATHY","SYSTEMATIC_NAME":"M38036","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012181","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012181","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Entrapment neuropathy","DESCRIPTION_FULL":"Malfunction of a peripheral nerve resulting from mechanical compression of the nerve roots from internal or external causes and leading to a conduction block or axonal loss. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HODGKIN_LYMPHOMA","SYSTEMATIC_NAME":"M38037","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012189","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012189","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hodgkin lymphoma","DESCRIPTION_FULL":"A type of lymphoma characterized microscopically by multinucleated Reed-Sternberg cells. [HPO:probinson]"}
{"STANDARD_NAME":"HP_T_CELL_LYMPHOMA","SYSTEMATIC_NAME":"M38038","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012190","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012190","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"T-cell lymphoma","DESCRIPTION_FULL":"A type of lymphoma that originates in T-cells. [HPO:probinson]"}
{"STANDARD_NAME":"HP_B_CELL_LYMPHOMA","SYSTEMATIC_NAME":"M38039","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012191","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012191","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"B-cell lymphoma","DESCRIPTION_FULL":"A type of lymphoma that originates in B-cells. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INSULINOMA","SYSTEMATIC_NAME":"M38040","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012197","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012197","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Insulinoma","DESCRIPTION_FULL":"A type of tumor of the pancreatic beta cells that secretes excess insulin and can result in hypoglycemia. [HPO:probinson, NCIT:C95598]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_PROTHROMBIN","SYSTEMATIC_NAME":"M38041","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012200","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012200","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of prothrombin","DESCRIPTION_FULL":"An anomaly of clotting factor II, which is known as prothrombin, a vitamin K-dependent proenzyme that functions in the blood coagulation cascade. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ONYCHOMYCOSIS","SYSTEMATIC_NAME":"M38042","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012203","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012203","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Onychomycosis","DESCRIPTION_FULL":"A fungal infection of the toenails or fingernails that tends to cause the nails to thicken, discolor, disfigure, and split. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_SPERM_MOTILITY","SYSTEMATIC_NAME":"M38043","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012206","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012206","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal sperm motility","DESCRIPTION_FULL":"An anomaly of the mobility of ejaculated sperm. [HPO:probinson]"}
{"STANDARD_NAME":"HP_REDUCED_SPERM_MOTILITY","SYSTEMATIC_NAME":"M41439","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012207","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012207","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Reduced sperm motility","DESCRIPTION_FULL":"An abnormal reduction in the mobility of ejaculated sperm. [HPO:probinson]"}
{"STANDARD_NAME":"HP_IMMOTILE_SPERM","SYSTEMATIC_NAME":"M38044","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012208","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012208","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Immotile sperm","DESCRIPTION_FULL":"A lack of mobility of ejaculated sperm. [HPO:probinson]"}
{"STANDARD_NAME":"HP_JUVENILE_MYELOMONOCYTIC_LEUKEMIA","SYSTEMATIC_NAME":"M38045","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012209","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012209","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Juvenile myelomonocytic leukemia","DESCRIPTION_FULL":"Juvenile myelomonocytic leukemia (JMML) is a lethal myeloproliferative disease of young childhood characterized clinically by overproduction of myelomonocytic cells and by the in vitro phenotype of hematopoietic progenitor hypersensitivity to granulocyte-macrophage colony-stimulating factor. [HPO:probinson, PMID:18954903]"}
{"STANDARD_NAME":"HP_ABNORMAL_RENAL_MORPHOLOGY","SYSTEMATIC_NAME":"M38046","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012210","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012210","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal renal morphology","DESCRIPTION_FULL":"Any structural anomaly of the kidney. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_RENAL_PHYSIOLOGY","SYSTEMATIC_NAME":"M38047","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012211","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012211","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal renal physiology","DESCRIPTION_FULL":"An abnormal functionality of the kidney. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_GLOMERULAR_FILTRATION_RATE","SYSTEMATIC_NAME":"M38048","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012212","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012212","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal glomerular filtration rate","DESCRIPTION_FULL":"An abnormally increased or reduced amount of fluid filtered out of plasma through glomerular capillary walls into Bowman's capsules per unit of time. [HP:probinson, PMID:25710660]"}
{"STANDARD_NAME":"HP_ERYTHEMA_NODOSUM","SYSTEMATIC_NAME":"M38049","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012219","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012219","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Erythema nodosum","DESCRIPTION_FULL":"An erythematous eruption commonly associated with drug reactions or infection and characterized by inflammatory nodules that are usually tender, multiple, and bilateral. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ARACHNOID_HEMANGIOMATOSIS","SYSTEMATIC_NAME":"M38050","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012222","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012222","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Arachnoid hemangiomatosis","DESCRIPTION_FULL":"The presence of multiple hemangiomas in the arachnoid. [HPO:probinson]"}
{"STANDARD_NAME":"HP_URETHRAL_STRICTURE","SYSTEMATIC_NAME":"M38051","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012227","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012227","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Urethral stricture","DESCRIPTION_FULL":"Narrowing of the urethra associated with inflammation or scar tissue. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CSF_PLEOCYTOSIS","SYSTEMATIC_NAME":"M38052","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012229","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012229","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"CSF pleocytosis","DESCRIPTION_FULL":"An increased white blood cell count in the cerebrospinal fluid. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SHORTENED_QT_INTERVAL","SYSTEMATIC_NAME":"M38053","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012232","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012232","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Shortened QT interval","DESCRIPTION_FULL":"Decreased time between the start of the Q wave and the end of the T wave as measured by the electrocardiogram (EKG). [HPO:probinson]"}
{"STANDARD_NAME":"HP_INTRAMUSCULAR_HEMATOMA","SYSTEMATIC_NAME":"M38054","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012233","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012233","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Intramuscular hematoma","DESCRIPTION_FULL":"Blood clot formed within muscle tissue following leakage of blood into the tissue. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INCREASED_INTRAMYOCELLULAR_LIPID_DROPLETS","SYSTEMATIC_NAME":"M38055","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012240","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012240","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased intramyocellular lipid droplets","DESCRIPTION_FULL":"An abnormal increase in intracellular lipid droplets In a muscle. The number and size of these drops can increase with somd disorders of lipid metabolism affecting muscle. See PMID 20691590 for histological images. [HPO:probinson, PMID:20691590]"}
{"STANDARD_NAME":"HP_ABNORMAL_SEX_DETERMINATION","SYSTEMATIC_NAME":"M38057","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012244","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012244","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal sex determination","DESCRIPTION_FULL":"Anomaly of primary or secondary sexual development or characteristics. [HPO:probinson, MP:0002210]"}
{"STANDARD_NAME":"HP_SEX_REVERSAL","SYSTEMATIC_NAME":"M38058","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012245","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012245","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Sex reversal","DESCRIPTION_FULL":"Development of the reproductive system is inconsistent with the chromosomal sex. [HPO:probinson, MP:0005652]"}
{"STANDARD_NAME":"HP_OCULOMOTOR_NERVE_PALSY","SYSTEMATIC_NAME":"M38059","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012246","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012246","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Oculomotor nerve palsy","DESCRIPTION_FULL":"Reduced ability to control the movement of the eye associated with damage to the third cranial nerve (the oculomotor nerve). [HPO:probinson]"}
{"STANDARD_NAME":"HP_PROLONGED_PR_INTERVAL","SYSTEMATIC_NAME":"M38060","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012248","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012248","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Prolonged PR interval","DESCRIPTION_FULL":"Increased time for the PR interval (beginning of the P wave to the beginning of the QRS complex). [HPO:probinson, PMID:23677846]"}
{"STANDARD_NAME":"HP_ABNORMAL_ST_SEGMENT","SYSTEMATIC_NAME":"M38061","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012249","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012249","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal ST segment","DESCRIPTION_FULL":"An electrocardiographic anomaly of the ST segment, which is the segment that connects the QRS complex and the T wave. The ST segment normally has a duration of 80 to 120 ms, is flat and at the same level (isoelectric) as the PR and TP segment. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ST_SEGMENT_DEPRESSION","SYSTEMATIC_NAME":"M41440","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012250","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012250","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"ST segment depression","DESCRIPTION_FULL":"An electrocardiographic anomaly in which the ST segment is observed to be located inferior to the isoelectric line. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ST_SEGMENT_ELEVATION","SYSTEMATIC_NAME":"M41441","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012251","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012251","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"ST segment elevation","DESCRIPTION_FULL":"An electrocardiographic anomaly in which the ST segment is observed to be located superior to the isoelectric line. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_RESPIRATORY_SYSTEM_MORPHOLOGY","SYSTEMATIC_NAME":"M38062","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012252","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012252","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal respiratory system morphology","DESCRIPTION_FULL":"A structural anomaly of the respiratory system. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABSENT_OUTER_DYNEIN_ARMS","SYSTEMATIC_NAME":"M38063","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012256","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012256","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Absent outer dynein arms","DESCRIPTION_FULL":"Absence of the outer dynein arms of respiratory motile cilia, which normally are situated outside of the peripheral microtubules of motile cilia. This feature is usually appreciated by electron microscopy. [HPO:probinson, PMID:19606528]"}
{"STANDARD_NAME":"HP_ABSENT_INNER_DYNEIN_ARMS","SYSTEMATIC_NAME":"M38064","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012257","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012257","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Absent inner dynein arms","DESCRIPTION_FULL":"Absence of the inner dynein arms of respiratory motile cilia, which normally are situated within the peripheral microtubules of motile cilia. This feature is usually appreciated by electron microscopy. [HPO:skoehler, PMID:19606528]"}
{"STANDARD_NAME":"HP_ABSENT_INNER_AND_OUTER_DYNEIN_ARMS","SYSTEMATIC_NAME":"M41442","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012259","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012259","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Absent inner and outer dynein arms","DESCRIPTION_FULL":"Complete absence of the dynein arms of respiratory motile cilia, that is, absence of the inner and the outer dynein arms, which normally are situated inside and outside of the peripheral microtubules of motile cilia. This feature is usually appreciated by electron microscopy. [HPO:probinson, PMID:19606528]"}
{"STANDARD_NAME":"HP_ABNORMAL_RESPIRATORY_MOTILE_CILIUM_PHYSIOLOGY","SYSTEMATIC_NAME":"M38065","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012261","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012261","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal respiratory motile cilium physiology","DESCRIPTION_FULL":"Any functional anomaly of the respiratory motile cilia. [HPO:probinson, MP:0011055]"}
{"STANDARD_NAME":"HP_IMMOTILE_CILIA","SYSTEMATIC_NAME":"M41443","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012263","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012263","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Immotile cilia"}
{"STANDARD_NAME":"HP_ABNORMAL_MUSCLE_GLYCOGEN_CONTENT","SYSTEMATIC_NAME":"M38067","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012269","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012269","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal muscle glycogen content","DESCRIPTION_FULL":"Any anomaly in the amount of glycogen in muscle tissue. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_CIRCULATING_SERINE_CONCENTRATION","SYSTEMATIC_NAME":"M38068","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012278","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012278","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal circulating serine concentration","DESCRIPTION_FULL":"Any deviation from the normal concentration of serine in the blood circulation. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_HYPOTHALAMUS_PHYSIOLOGY","SYSTEMATIC_NAME":"M38069","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012285","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012285","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal hypothalamus physiology","DESCRIPTION_FULL":"An abnormal functionality of the hypothalamus. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_HYPOTHALAMUS_MORPHOLOGY","SYSTEMATIC_NAME":"M38070","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012286","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012286","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal hypothalamus morphology","DESCRIPTION_FULL":"Any structural anomaly of the hypothalamus. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NEOPLASM_OF_HEAD_AND_NECK","SYSTEMATIC_NAME":"M38071","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012288","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012288","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neoplasm of head and neck","DESCRIPTION_FULL":"A tumor (abnormal growth of tissue) of the head and neck region with origin in the lip, oral cavity, nasal cavity, paranasal sinuses, pharynx, or larynx. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_GENITAL_PIGMENTATION","SYSTEMATIC_NAME":"M38072","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012293","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012293","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal genital pigmentation","DESCRIPTION_FULL":"An abnormal pigmentation pattern of the external genitalia. [HPO:probinson]"}
{"STANDARD_NAME":"HP_TYPE_II_TRANSFERRIN_ISOFORM_PROFILE","SYSTEMATIC_NAME":"M38073","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012301","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012301","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Type II transferrin isoform profile","DESCRIPTION_FULL":"Abnormal transferrin isoform profile consistent with a type II congenital disorder of glycosylation. [HPO:probinson, PMID:15105360, PMID:22516080]"}
{"STANDARD_NAME":"HP_HERPES_SIMPLEX_ENCEPHALITIS","SYSTEMATIC_NAME":"M38074","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012302","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012302","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Herpes simplex encephalitis","DESCRIPTION_FULL":"A severe virus infection of the central nervous system by the herpes simplex virus (HSV). [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_AORTIC_ARCH_MORPHOLOGY","SYSTEMATIC_NAME":"M38075","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012303","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012303","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal aortic arch morphology","DESCRIPTION_FULL":"An anomaly of the arch of aorta. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPOPLASTIC_AORTIC_ARCH","SYSTEMATIC_NAME":"M41444","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012304","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012304","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypoplastic aortic arch","DESCRIPTION_FULL":"Underdevelopment of the arch of aorta. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_RIB_OSSIFICATION","SYSTEMATIC_NAME":"M38076","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012306","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012306","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal rib ossification","DESCRIPTION_FULL":"An anomaly of the process of rib bone formation. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MONOCYTOSIS","SYSTEMATIC_NAME":"M38077","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012311","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012311","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Monocytosis","DESCRIPTION_FULL":"An increased number of circulating monocytes. [HPO:probinson]"}
{"STANDARD_NAME":"HP_FIBROUS_TISSUE_NEOPLASM","SYSTEMATIC_NAME":"M38078","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012316","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012316","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Fibrous tissue neoplasm","DESCRIPTION_FULL":"Any neoplasm composed of fibrous tissue. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MYELOID_LEUKEMIA","SYSTEMATIC_NAME":"M38079","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012324","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012324","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Myeloid leukemia","DESCRIPTION_FULL":"A leukemia that originates from a myeloid cell, that is the blood forming cells of the bone marrow. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PYELONEPHRITIS","SYSTEMATIC_NAME":"M38080","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012330","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012330","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pyelonephritis","DESCRIPTION_FULL":"An inflammation of the kidney involving the parenchyma of kidney, the renal pelvis and the kidney calices. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_AUTONOMIC_NERVOUS_SYSTEM_PHYSIOLOGY","SYSTEMATIC_NAME":"M38081","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012332","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012332","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal autonomic nervous system physiology","DESCRIPTION_FULL":"A functional abnormality of the autonomic nervous system. [HPO:probinson]"}
{"STANDARD_NAME":"HP_EXTRAHEPATIC_CHOLESTASIS","SYSTEMATIC_NAME":"M38082","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012334","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012334","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Extrahepatic cholestasis","DESCRIPTION_FULL":"Impairment of bile flow due to obstruction in large bile ducts outside the liver. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_ENERGY_EXPENDITURE","SYSTEMATIC_NAME":"M38084","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012338","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012338","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal energy expenditure","DESCRIPTION_FULL":"Any anomaly in the utilization of energy (calories). [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_GLYCOSYLATION","SYSTEMATIC_NAME":"M38085","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012345","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012345","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal glycosylation","DESCRIPTION_FULL":"An anomaly of a glycosylation process, i.e., a process involved in the covalent attachment of a glycosyl residue to a substrate molecule. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_PROTEIN_GLYCOSYLATION","SYSTEMATIC_NAME":"M38086","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012346","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012346","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal protein glycosylation","DESCRIPTION_FULL":"An anomaly of a protein glycosylation process, i.e., of a protein modification process that results in the addition of a carbohydrate or carbohydrate derivative unit to a protein amino acid, e.g. the addition of glycan chains to proteins. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_PROTEIN_O_LINKED_GLYCOSYLATION","SYSTEMATIC_NAME":"M38087","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012358","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012358","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal protein O-linked glycosylation","DESCRIPTION_FULL":"An anomaly of protein O-linked glycosylation, i.e., of the process in which a carbohydrate or carbohydrate derivative unit is added to a protein via the hydroxyl group of a serine or threonine residue. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DECREASED_URINARY_POTASSIUM","SYSTEMATIC_NAME":"M38088","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012364","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012364","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased urinary potassium","DESCRIPTION_FULL":"A decreased concentration of potassium(1+) in the urine. [HPO:probinson]"}
{"STANDARD_NAME":"HP_FLAT_FACE","SYSTEMATIC_NAME":"M38089","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012368","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012368","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Flat face","DESCRIPTION_FULL":"Absence of concavity or convexity of the face when viewed in profile. [PMID:19125436]"}
{"STANDARD_NAME":"HP_HEMIANOPIA","SYSTEMATIC_NAME":"M38090","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012377","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012377","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hemianopia","DESCRIPTION_FULL":"Partial or complete loss of vision in one half of the visual field of one or both eyes. [HPO:probinson]"}
{"STANDARD_NAME":"HP_FATIGUE","SYSTEMATIC_NAME":"M38091","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012378","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012378","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Fatigue","DESCRIPTION_FULL":"A subjective feeling of tiredness characterized by a lack of energy and motivation. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_ENZYME_COENZYME_ACTIVITY","SYSTEMATIC_NAME":"M38092","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012379","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012379","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal enzyme/coenzyme activity","DESCRIPTION_FULL":"An altered ability of any enzyme or their cofactors to act as catalysts. This term includes changes due to altered levels of an enzyme. [HPO:probinson, MP:0005584]"}
{"STANDARD_NAME":"HP_LEFT_TO_RIGHT_SHUNT","SYSTEMATIC_NAME":"M41445","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012382","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012382","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Left-to-right shunt","DESCRIPTION_FULL":"Pattern of blood flow in the heart that deviates from the normal circuit of the circulatory system from the left side of the heart to the right. [HPO:mhaendel]"}
{"STANDARD_NAME":"HP_RHINITIS","SYSTEMATIC_NAME":"M38093","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012384","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012384","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Rhinitis","DESCRIPTION_FULL":"Inflammation of the nasal mucosa with nasal congestion. [HPO:probinson]"}
{"STANDARD_NAME":"HP_BRONCHITIS","SYSTEMATIC_NAME":"M38094","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012387","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012387","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Bronchitis","DESCRIPTION_FULL":"Inflammation of the large airways in the lung including any part of the bronchi from the primary bronchi to the tertiary bronchi. [HPO:probinson]"}
{"STANDARD_NAME":"HP_APPENDICULAR_HYPOTONIA","SYSTEMATIC_NAME":"M41446","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012389","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012389","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Appendicular hypotonia","DESCRIPTION_FULL":"Muscular hypotonia of one or more limbs. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ANAL_FISSURE","SYSTEMATIC_NAME":"M41447","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012390","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012390","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Anal fissure","DESCRIPTION_FULL":"A small tear in the thin, moist tissue (mucosa) that lines the anus. It appears as a crack or slit in the mucous membrane of the anus. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPOREFLEXIA_OF_UPPER_LIMBS","SYSTEMATIC_NAME":"M41448","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012391","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012391","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hyporeflexia of upper limbs","DESCRIPTION_FULL":"Reduced intensity of muscle tendon reflexes in the upper limbs. Reflexes are elicited by stretching the tendon of a muscle, e.g., by tapping. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ALLERGY","SYSTEMATIC_NAME":"M38095","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012393","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012393","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Allergy","DESCRIPTION_FULL":"An allergy is an immune response or reaction to substances that are usually not harmful. [HPO:probinson]"}
{"STANDARD_NAME":"HP_AORTIC_ATHEROSCLEROTIC_LESION","SYSTEMATIC_NAME":"M38096","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012397","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012397","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aortic atherosclerotic lesion","DESCRIPTION_FULL":"The presence of atheromas or atherosclerotic plaques in the aorta. [HPO:probinson, PMID:16818829]"}
{"STANDARD_NAME":"HP_PERIPHERAL_EDEMA","SYSTEMATIC_NAME":"M38097","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012398","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012398","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Peripheral edema","DESCRIPTION_FULL":"An abnormal accumulation of interstitial fluid in the soft tissues of the limbs. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_ALDOLASE_LEVEL","SYSTEMATIC_NAME":"M38098","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012400","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012400","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal aldolase level","DESCRIPTION_FULL":"An abnormal concentration of aldolase in the serum. Aldolase is an enzyme responsible for converting fructose 1,6-bisphosphate into the triose phosphates dihydroxyacetone phosphate and glyceraldehyde 3-phosphate. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_URINE_ALPHA_KETOGLUTARATE_CONCENTRATION","SYSTEMATIC_NAME":"M41449","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012401","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012401","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal urine alpha-ketoglutarate concentration","DESCRIPTION_FULL":"A deviation from normal of the concentration of 2-oxoglutaric acid in the urine. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MEDULLARY_NEPHROCALCINOSIS","SYSTEMATIC_NAME":"M41450","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012408","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012408","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Medullary nephrocalcinosis","DESCRIPTION_FULL":"The deposition of calcium salts in the parenchyma of the renal medulla (innermost part of the kidney). [ORDCID:0000-0001-5208-3432]"}
{"STANDARD_NAME":"HP_PURE_RED_CELL_APLASIA","SYSTEMATIC_NAME":"M41451","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012410","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012410","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pure red cell aplasia","DESCRIPTION_FULL":"A type of anemia resulting from suppression of erythropoiesis with little or no abnormality of leukocyte or platelet production. Erythroblasts are virtually absent in bone marrow; however, leukocyte and platelet production show little or no reduction. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PREMATURE_PUBARCHE","SYSTEMATIC_NAME":"M38099","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012411","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012411","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Premature pubarche","DESCRIPTION_FULL":"The onset of growth of pubic hair at an earlier age than normal. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PREMATURE_ADRENARCHE","SYSTEMATIC_NAME":"M41452","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012412","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012412","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Premature adrenarche","DESCRIPTION_FULL":"Onset of adrenarche at an earlier age than usual. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_BLOOD_GAS_LEVEL","SYSTEMATIC_NAME":"M38100","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012415","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012415","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal blood gas level","DESCRIPTION_FULL":"An abnormality of the partial pressure of oxygen or carbon dioxide in the arterial blood. [HPO:probinson]"}
{"STANDARD_NAME":"HP_OPTIC_DISC_DRUSEN","SYSTEMATIC_NAME":"M38101","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012426","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012426","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Optic disc drusen","DESCRIPTION_FULL":"Optic disc drusen are acellular, calcified deposits within the optic nerve head. Optic disc drusen are congenital and developmental anomalies of the optic nerve head, representing hyaline-containing bodies that, over time, appear as elevated, lumpy irregularities on the anterior portion of the optic nerve. [HPO:probinson, PMID:22787500, PMID:23658477, PMID:30524490]"}
{"STANDARD_NAME":"HP_PROMINENT_CALCANEUS","SYSTEMATIC_NAME":"M41453","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012428","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012428","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Prominent calcaneus","DESCRIPTION_FULL":"Protruding heel bone, or calcaneus. [ORCID:0000-0001-5208-3432]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_CEREBRAL_WHITE_MATTER","SYSTEMATIC_NAME":"M38102","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012429","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012429","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the cerebral white matter","DESCRIPTION_FULL":"Absence or underdevelopment of the cerebral white matter. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CEREBRAL_WHITE_MATTER_HYPOPLASIA","SYSTEMATIC_NAME":"M38103","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012430","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012430","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cerebral white matter hypoplasia","DESCRIPTION_FULL":"Underdevelopment of the cerebral white matter. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CHRONIC_FATIGUE","SYSTEMATIC_NAME":"M38104","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012432","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012432","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Chronic fatigue","DESCRIPTION_FULL":"Subjective feeling of tiredness characterized by a lack of energy and motivation that persists for six months or longer. [ORCID:0000-0001-5208-3432]"}
{"STANDARD_NAME":"HP_ABNORMAL_SOCIAL_BEHAVIOR","SYSTEMATIC_NAME":"M38105","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012433","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012433","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal social behavior","DESCRIPTION_FULL":"An abnormality of actions or reactions of a person taking place during interactions with others. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DELAYED_SOCIAL_DEVELOPMENT","SYSTEMATIC_NAME":"M41454","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012434","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012434","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Delayed social development","DESCRIPTION_FULL":"A failure to meet one or more age-related milestones of social behavior. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_BILIARY_TRACT_MORPHOLOGY","SYSTEMATIC_NAME":"M38106","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012440","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012440","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal biliary tract morphology","DESCRIPTION_FULL":"A structural abnormality of the biliary tree. [HPO:probinson]"}
{"STANDARD_NAME":"HP_BRAIN_ATROPHY","SYSTEMATIC_NAME":"M38107","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012444","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012444","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Brain atrophy","DESCRIPTION_FULL":"Partial or complete wasting (loss) of brain tissue that was once present. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_MYELINATION","SYSTEMATIC_NAME":"M38108","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012447","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012447","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal myelination","DESCRIPTION_FULL":"Any anomaly in the process by which myelin sheaths are formed and maintained around neurons. [HPO:probinson, MP:0000920]"}
{"STANDARD_NAME":"HP_DELAYED_MYELINATION","SYSTEMATIC_NAME":"M38109","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012448","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012448","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Delayed myelination","DESCRIPTION_FULL":"Delayed myelination. [ORCID:0000-0001-5208-3432]"}
{"STANDARD_NAME":"HP_CHRONIC_CONSTIPATION","SYSTEMATIC_NAME":"M38110","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012450","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012450","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Chronic constipation","DESCRIPTION_FULL":"Constipation for longer than three months with fewer than 3 bowel movements per week, straining, lumpy or hard stools, and a sensation of anorectal obstruction or incomplete defecation. [ORCID:0000-0001-5208-3432]"}
{"STANDARD_NAME":"HP_RESTLESS_LEGS","SYSTEMATIC_NAME":"M38111","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012452","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012452","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Restless legs","DESCRIPTION_FULL":"A feeling of uneasiness and restlessness in the legs after going to bed (sometimes causing insomnia). [HPO:probinson]"}
{"STANDARD_NAME":"HP_INFANTILE_SPASMS","SYSTEMATIC_NAME":"M38112","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012469","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012469","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Infantile spasms","DESCRIPTION_FULL":"Infantile spasms represent a subset of \\epileptic spasms\\. Infantile Spasms are epileptic spasms starting in the first year of life (infancy). [HPO:ihelbig]"}
{"STANDARD_NAME":"HP_THICK_VERMILION_BORDER","SYSTEMATIC_NAME":"M38113","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012471","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012471","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Thick vermilion border","DESCRIPTION_FULL":"Increased width of the skin of vermilion border region of upper lip. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ECLABION","SYSTEMATIC_NAME":"M38114","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012472","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012472","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Eclabion","DESCRIPTION_FULL":"A turning outward of the lip or lips, that is, eversion of the lips. [HPO:probinson]"}
{"STANDARD_NAME":"HP_TONGUE_ATROPHY","SYSTEMATIC_NAME":"M38115","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012473","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012473","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Tongue atrophy","DESCRIPTION_FULL":"Wasting of the tongue. [ORCID:0000-0001-5208-3432]"}
{"STANDARD_NAME":"HP_DECREASED_CIRCULATING_LEVEL_OF_SPECIFIC_ANTIBODY","SYSTEMATIC_NAME":"M38116","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012475","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012475","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased circulating level of specific antibody","DESCRIPTION_FULL":"The presence of normal overall immunoglobulin levels with deficiency of specific immunoglobulins directed against a specific antigen or microorganism. [HPO:probinson, PMID:17100769]"}
{"STANDARD_NAME":"HP_ABNORMAL_CEREBRAL_VEIN_MORPHOLOGY","SYSTEMATIC_NAME":"M38117","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012480","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012480","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal cerebral vein morphology","DESCRIPTION_FULL":"An anomaly of cerebral veins. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PANNICULITIS","SYSTEMATIC_NAME":"M38118","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012490","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012490","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Panniculitis","DESCRIPTION_FULL":"Inflammation of adipose tissue. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_BRAINSTEM_WHITE_MATTER","SYSTEMATIC_NAME":"M41455","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012501","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012501","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the brainstem white matter","DESCRIPTION_FULL":"An anomaly of the white matter of brainstem. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_PITUITARY_GLAND","SYSTEMATIC_NAME":"M38119","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012503","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012503","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the pituitary gland","DESCRIPTION_FULL":"An anomaly of the pituitary gland. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_SIZE_OF_PITUITARY_GLAND","SYSTEMATIC_NAME":"M38120","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012504","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012504","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal size of pituitary gland","DESCRIPTION_FULL":"A deviation from the normal size of the pituitary gland. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SMALL_PITUITARY_GLAND","SYSTEMATIC_NAME":"M38121","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012506","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012506","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Small pituitary gland","DESCRIPTION_FULL":"An abnormally decreased size of the pituitary gland. [ORCID:0000-0001-5208-3432]"}
{"STANDARD_NAME":"HP_METAMORPHOPSIA","SYSTEMATIC_NAME":"M38122","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012508","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012508","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Metamorphopsia","DESCRIPTION_FULL":"A visual anomaly in which images appear distorted. A grid of straight lines appears wavy and parts of the grid may appear blank. [HPO:probinson]"}
{"STANDARD_NAME":"HP_TEMPORAL_OPTIC_DISC_PALLOR","SYSTEMATIC_NAME":"M38123","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012511","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012511","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Temporal optic disc pallor","DESCRIPTION_FULL":"A pale yellow discoloration of the temporal (lateral) portion of the optic disc. [HPO:probinson, PMID:19668477]"}
{"STANDARD_NAME":"HP_LOWER_LIMB_PAIN","SYSTEMATIC_NAME":"M38124","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012514","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012514","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Lower limb pain","DESCRIPTION_FULL":"An unpleasant sensation characterized by physical discomfort (such as pricking, throbbing, or aching) localized to the leg. [ORCID:0000-0001-5208-3432]"}
{"STANDARD_NAME":"HP_HIP_FLEXOR_WEAKNESS","SYSTEMATIC_NAME":"M38125","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012515","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012515","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hip flexor weakness","DESCRIPTION_FULL":"Reduced ability to flex the femur, that is, to pull the knee upward. [ORCID:0000-0001-5208-3432]"}
{"STANDARD_NAME":"HP_ABNORMAL_CIRCLE_OF_WILLIS_MORPHOLOGY","SYSTEMATIC_NAME":"M38126","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012518","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012518","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal circle of Willis morphology","DESCRIPTION_FULL":"An anomaly of the circle of Willis, also known as the cerebral arterial circle. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PERIVASCULAR_SPACES","SYSTEMATIC_NAME":"M38127","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012520","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012520","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Perivascular spaces","DESCRIPTION_FULL":"Increased dimensions of the Virchow-Robin spaces (also known as perivascular spaces), which surround the walls of vessels as they course from the subarachnoid space through the brain parenchyma. Perivascular spaces are commonly microscopic, and not visible on conventional neuroimaging. This term refers to an increase of size of these spaces such that they are visible on neuroimaging (usually magnetic resonance imaging). The dilatations are regular cavities that always contain a patent artery. [ORCID:0000-0001-5208-3432, PMID:17620468, PMID:23867200]"}
{"STANDARD_NAME":"HP_PAIN","SYSTEMATIC_NAME":"M38128","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012531","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012531","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pain","DESCRIPTION_FULL":"An unpleasant sensory and emotional experience associated with actual or potential tissue damage, or described in terms of such damage. [ORCID:0000-0001-5208-3432]"}
{"STANDARD_NAME":"HP_CHRONIC_PAIN","SYSTEMATIC_NAME":"M41456","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012532","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012532","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Chronic pain","DESCRIPTION_FULL":"Persistent pain, usually defined as pain that has lasted longer than 3 to 6 months. [HPO:probinson, PMID:1875958]"}
{"STANDARD_NAME":"HP_DYSESTHESIA","SYSTEMATIC_NAME":"M38129","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012534","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012534","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Dysesthesia","DESCRIPTION_FULL":"Abnormal sensations with no apparent physical cause that are painful or unpleasant. [ORCID:0000-0001-5208-3432]"}
{"STANDARD_NAME":"HP_FOOD_INTOLERANCE","SYSTEMATIC_NAME":"M38130","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012537","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012537","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Food intolerance","DESCRIPTION_FULL":"A detrimental reaction to a food, beverage, food additive, or compound found in foods that produces symptoms in one or more body organs and systems that is not mediated by an immune reaction. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NON_HODGKIN_LYMPHOMA","SYSTEMATIC_NAME":"M38131","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012539","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012539","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Non-Hodgkin lymphoma","DESCRIPTION_FULL":"A type of lymphoma characterized microscopically by the absence of multinucleated Reed-Sternberg cells. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CEPHALOHEMATOMA","SYSTEMATIC_NAME":"M38132","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012541","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012541","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cephalohematoma","DESCRIPTION_FULL":"Hemorrhage between the skull and periosteum of a newborn resulting from rupture of blood vessels that cross the periosteum. [ORCID:0000-0001-5208-3432]"}
{"STANDARD_NAME":"HP_ABNORMAL_INVOLUNTARY_EYE_MOVEMENTS","SYSTEMATIC_NAME":"M38133","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012547","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012547","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal involuntary eye movements","DESCRIPTION_FULL":"Anomalous movements of the eyes that occur without the subject wanting them to happen. [HPO:probinson]"}
{"STANDARD_NAME":"HP_FATTY_REPLACEMENT_OF_SKELETAL_MUSCLE","SYSTEMATIC_NAME":"M38134","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012548","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012548","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Fatty replacement of skeletal muscle","DESCRIPTION_FULL":"Muscle fibers degeneration resulting in fatty replacement of skeletal muscle fibers [HPO:probinson, Neuromics:vstraub]"}
{"STANDARD_NAME":"HP_ABSENT_THUMBNAIL","SYSTEMATIC_NAME":"M38135","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012554","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012554","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Absent thumbnail","DESCRIPTION_FULL":"Absence of thumb nail. [HPO:probinson]"}
{"STANDARD_NAME":"HP_EEG_WITH_CENTROTEMPORAL_FOCAL_SPIKE_WAVES","SYSTEMATIC_NAME":"M41457","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012557","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012557","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"EEG with centrotemporal focal spike waves","DESCRIPTION_FULL":"EEG with focal sharp transient waves in the centrotemporal region of the brain (also known as the central sulcus), i.e., focal sharp waves of a duration less than 80 msec followed by a slow wave. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DELAYED_MENARCHE","SYSTEMATIC_NAME":"M38136","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012569","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012569","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Delayed menarche","DESCRIPTION_FULL":"First period after the age of 15 years. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_NEPHRON_MORPHOLOGY","SYSTEMATIC_NAME":"M38137","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012575","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012575","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal nephron morphology","DESCRIPTION_FULL":"A structural anomaly of the nephron. [Eurenomics:fschaefer]"}
{"STANDARD_NAME":"HP_MINIMAL_CHANGE_GLOMERULONEPHRITIS","SYSTEMATIC_NAME":"M38138","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012579","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012579","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Minimal change glomerulonephritis","DESCRIPTION_FULL":"The presence of minimal changes visible by light microscopy but flattened and fused podocyte foot processes on electron microscopy in a person with nephrotic range proteinuria. [Eurenomics:fschaefer]"}
{"STANDARD_NAME":"HP_MACROSCOPIC_HEMATURIA","SYSTEMATIC_NAME":"M38139","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012587","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012587","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Macroscopic hematuria","DESCRIPTION_FULL":"Hematuria that is visible upon inspection of the urine. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_STEROID_RESISTANT_NEPHROTIC_SYNDROME","SYSTEMATIC_NAME":"M38140","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012588","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012588","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Steroid-resistant nephrotic syndrome","DESCRIPTION_FULL":"A form of nephrotic syndrome that does not respond to treatment with steroid medication. [Eurenomics:ewuehl]"}
{"STANDARD_NAME":"HP_ABNORMAL_URINARY_ELECTROLYTE_CONCENTRATION","SYSTEMATIC_NAME":"M38141","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012591","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012591","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal urinary electrolyte concentration","DESCRIPTION_FULL":"An abnormality in the concentration of electrolytes in the urine. [PMID:25215103]"}
{"STANDARD_NAME":"HP_ALBUMINURIA","SYSTEMATIC_NAME":"M38142","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012592","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012592","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Albuminuria","DESCRIPTION_FULL":"Increased concentration of albumin in the urine. [Eurenomics:fschaefer]"}
{"STANDARD_NAME":"HP_MODERATE_ALBUMINURIA","SYSTEMATIC_NAME":"M38143","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012594","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012594","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Moderate albuminuria","DESCRIPTION_FULL":"The presence of moderately increased concentrations of albumin in the urine, defined as and albumin-creatinine ratio (ACR) of 30 to 299 mg/gm (3.4 to 34 mg/mmol). [Eurenomics:fschaefer, PMID:30571025]"}
{"STANDARD_NAME":"HP_ABNORMAL_URINE_POTASSIUM_CONCENTRATION","SYSTEMATIC_NAME":"M38144","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012598","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012598","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal urine potassium concentration","DESCRIPTION_FULL":"An abnormal concentration of potassium(1+) in the urine. [Eurenomics:fschaefer]"}
{"STANDARD_NAME":"HP_ABNORMAL_URINE_PHOSPHATE_CONCENTRATION","SYSTEMATIC_NAME":"M38145","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012599","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012599","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal urine phosphate concentration","DESCRIPTION_FULL":"An abnormal phosphate concentration in the urine. [Eurenomics:ewuehl]"}
{"STANDARD_NAME":"HP_ABNORMAL_URINE_SODIUM_CONCENTRATION","SYSTEMATIC_NAME":"M38146","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012603","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012603","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal urine sodium concentration","DESCRIPTION_FULL":"An abnormal concentration of sodium in the urine. [Eurenomics:fschaefer]"}
{"STANDARD_NAME":"HP_HYPERNATRIURIA","SYSTEMATIC_NAME":"M41458","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012605","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012605","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypernatriuria","DESCRIPTION_FULL":"An increased concentration of sodium(1+) in the urine. [Eurenomics:ewuehl]"}
{"STANDARD_NAME":"HP_RENAL_SODIUM_WASTING","SYSTEMATIC_NAME":"M41459","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012606","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012606","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Renal sodium wasting","DESCRIPTION_FULL":"An abnormally increased sodium concentration in the urine in the presence of hyponatremia. [Eurenomics:ewuehl]"}
{"STANDARD_NAME":"HP_ABNORMAL_URINE_MAGNESIUM_CONCENTRATION","SYSTEMATIC_NAME":"M38147","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012607","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012607","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal urine magnesium concentration","DESCRIPTION_FULL":"An abnormal concentration of magnesium the urine. [Eurenomics:ewuehl]"}
{"STANDARD_NAME":"HP_HYPERMAGNESIURIA","SYSTEMATIC_NAME":"M38148","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012608","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012608","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypermagnesiuria","DESCRIPTION_FULL":"An increased concentration of magnesium the urine. [Eurenomics:fschaefer]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_URINARY_URIC_ACID_CONCENTRATION","SYSTEMATIC_NAME":"M41460","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012610","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012610","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of urinary uric acid concentration","DESCRIPTION_FULL":"Abnormal concentration of urate in the urine. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_URINE_CYTOLOGY","SYSTEMATIC_NAME":"M38149","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012614","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012614","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal urine cytology","DESCRIPTION_FULL":"An anomalous finding in the examination of the urine for cells. [Eurenomics:ewuehl]"}
{"STANDARD_NAME":"HP_CHRONIC_KIDNEY_DISEASE","SYSTEMATIC_NAME":"M38150","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012622","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012622","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Chronic kidney disease","DESCRIPTION_FULL":"Functional anomaly of the kidney persisting for at least three months. [Eurenomics:ewuehl]"}
{"STANDARD_NAME":"HP_ABNORMAL_INTRAOCULAR_PRESSURE","SYSTEMATIC_NAME":"M38151","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012632","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012632","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal intraocular pressure","DESCRIPTION_FULL":"An anomaly in the amount of force per unit area exerted by the intraocular fluid within the eye. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_INFLAMMATORY_RESPONSE","SYSTEMATIC_NAME":"M38152","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012647","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012647","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal inflammatory response","DESCRIPTION_FULL":"Any anomaly of the inflammatory response, a response to injury or infection characterized by local vasodilation, extravasation of plasma into intercellular spaces and accumulation of white blood cells and macrophages. [MONARCH:mhaendel]"}
{"STANDARD_NAME":"HP_PERISYLVIAN_POLYMICROGYRIA","SYSTEMATIC_NAME":"M41461","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012650","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012650","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Perisylvian polymicrogyria","DESCRIPTION_FULL":"Polymicrogyria (an excessive number of small gyri or convolutions) that is maximal in perisylvian regions (the regions that surround the Sylvian fissures), which may be symmetric or asymmetric and may extend beyond perisylvian regions. The Sylvian fissures often extend posteriorly and superiorly. [COST:neuromig, HPO:probinson, PMID:15159468, PMID:20301504]"}
{"STANDARD_NAME":"HP_ABNORMAL_BRAIN_POSITRON_EMISSION_TOMOGRAPHY","SYSTEMATIC_NAME":"M38153","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012657","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012657","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal brain positron emission tomography","DESCRIPTION_FULL":"A functional brain anomaly detectable by positron emission tomography (PET). PET scanning is a method for functional brain imaging, and its measurements reflect the amount of brain activity in the various regions of the brain. [HPO:probinson]"}
{"STANDARD_NAME":"HP_REDUCED_EJECTION_FRACTION","SYSTEMATIC_NAME":"M38154","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012664","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012664","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Reduced ejection fraction","DESCRIPTION_FULL":"A diminution of the volumetric fraction of blood pumped out of the ventricle with each cardiac cycle. [HPO:probinson]"}
{"STANDARD_NAME":"HP_IRON_ACCUMULATION_IN_BRAIN","SYSTEMATIC_NAME":"M38155","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012675","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012675","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Iron accumulation in brain","DESCRIPTION_FULL":"An abnormal build up of iron (Fe) in brain tissue. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_PINEAL_GLAND","SYSTEMATIC_NAME":"M38156","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012680","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012680","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the pineal gland","DESCRIPTION_FULL":"An anomaly of the pineal gland,a small endocrine gland in the brain that produces melatonin. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_PINEAL_MORPHOLOGY","SYSTEMATIC_NAME":"M41462","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012681","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012681","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of pineal morphology","DESCRIPTION_FULL":"A structural abnormality of the pineal gland. [UToronto:htrang]"}
{"STANDARD_NAME":"HP_PINEAL_CYST","SYSTEMATIC_NAME":"M41463","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012683","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012683","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pineal cyst","DESCRIPTION_FULL":"A glial uniloculated or multiloculated fluid-filled sac that either reside within or completely replace the pineal gland. [HPO:probinson, PMID:21801982]"}
{"STANDARD_NAME":"HP_ABNORMAL_THALAMIC_SIZE","SYSTEMATIC_NAME":"M38157","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012693","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012693","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal thalamic size","DESCRIPTION_FULL":"Deviation from the normal range of size of the thalamus. [UToronto:htrang]"}
{"STANDARD_NAME":"HP_ABNORMAL_THALAMIC_MRI_SIGNAL_INTENSITY","SYSTEMATIC_NAME":"M38158","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012696","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012696","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal thalamic MRI signal intensity","DESCRIPTION_FULL":"A deviation from normal signal on magnetic resonance imaging (MRI) of the thalamus. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SMALL_BASAL_GANGLIA","SYSTEMATIC_NAME":"M38159","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012697","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012697","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Small basal ganglia","DESCRIPTION_FULL":"Decreased size of the basal ganglia. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_LARGE_INTESTINE_PHYSIOLOGY","SYSTEMATIC_NAME":"M38160","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012700","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012700","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal large intestine physiology","DESCRIPTION_FULL":"A functional anomaly of the large intestine. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_SUBARACHNOID_SPACE_MORPHOLOGY","SYSTEMATIC_NAME":"M38161","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012703","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012703","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal subarachnoid space morphology","DESCRIPTION_FULL":"Abnormality in the space in the meninges beneath the arachnoid membrane and above the pia mater that contains the cerebrospinal fluid. [UToronto:htrang]"}
{"STANDARD_NAME":"HP_WIDENED_SUBARACHNOID_SPACE","SYSTEMATIC_NAME":"M38162","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012704","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012704","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Widened subarachnoid space","DESCRIPTION_FULL":"An increase in size of the anatomic space between the arachnoid membrane and pia mater. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_METABOLIC_BRAIN_IMAGING_BY_MRS","SYSTEMATIC_NAME":"M38163","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012705","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012705","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal metabolic brain imaging by MRS","DESCRIPTION_FULL":"An anomaly of metabolism in the brain identified by magnetic resonance spectroscopy (MRS). [HPO:probinson]"}
{"STANDARD_NAME":"HP_REDUCED_BRAIN_N_ACETYL_ASPARTATE_LEVEL_BY_MRS","SYSTEMATIC_NAME":"M38164","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012708","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012708","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Reduced brain N-acetyl aspartate level by MRS","DESCRIPTION_FULL":"A decrease in the level of N-acetyl aspartate in the brain identified by magnetic resonance spectroscopy (MRS). [UToronto:htrang]"}
{"STANDARD_NAME":"HP_MILD_HEARING_IMPAIRMENT","SYSTEMATIC_NAME":"M38165","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012712","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012712","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Mild hearing impairment","DESCRIPTION_FULL":"The presence of a mild form of hearing impairment. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SEVERE_HEARING_IMPAIRMENT","SYSTEMATIC_NAME":"M38166","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012714","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012714","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Severe hearing impairment","DESCRIPTION_FULL":"A severe form of hearing impairment. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PROFOUND_HEARING_IMPAIRMENT","SYSTEMATIC_NAME":"M38167","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012715","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012715","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Profound hearing impairment","DESCRIPTION_FULL":"A profound (essentially complete) form of hearing impairment. [HPO:probinson]"}
{"STANDARD_NAME":"HP_FUNCTIONAL_ABNORMALITY_OF_THE_GASTROINTESTINAL_TRACT","SYSTEMATIC_NAME":"M38168","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012719","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012719","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Functional abnormality of the gastrointestinal tract","DESCRIPTION_FULL":"Abnormal functionality of the gastrointestinal tract. [HPO:probinson]"}
{"STANDARD_NAME":"HP_VENOUS_MALFORMATION","SYSTEMATIC_NAME":"M38169","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012721","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012721","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Venous malformation","DESCRIPTION_FULL":"A vascular malformation resulting from a developmental error of venous tissue composed of dysmorphic channels lined by flattened endothelium and exhibiting slow turnover. A venous malformation may present as a blue patch on the skin ranging to a soft blue mass. Venous malformations are easily compressible and usually swell in thewhen venous pressure increases (e.g., when held in a dependent position or when a child cries). They may be relatively localized or quite extensive within an anatomic region. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HEART_BLOCK","SYSTEMATIC_NAME":"M38170","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012722","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012722","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Heart block","DESCRIPTION_FULL":"Impaired conduction of cardiac impulse occurring anywhere along the conduction pathway. [HPO:probinson]"}
{"STANDARD_NAME":"HP_UPPER_EYELID_EDEMA","SYSTEMATIC_NAME":"M41464","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012724","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012724","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Upper eyelid edema","DESCRIPTION_FULL":"Edema in the region of the upper eyelid. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CUTANEOUS_SYNDACTYLY","SYSTEMATIC_NAME":"M38171","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012725","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012725","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cutaneous syndactyly","DESCRIPTION_FULL":"A soft tissue continuity in the A/P axis between two digits that extends distally to at least the level of the proximal interphalangeal joints, or a soft tissue continuity in the A/P axis between two digits that lies significantly distal to the flexion crease that overlies the metacarpophalangeal or metatarsophalangeal joint of the adjacent digits. [HPO:probinson]"}
{"STANDARD_NAME":"HP_THORACIC_AORTIC_ANEURYSM","SYSTEMATIC_NAME":"M38172","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012727","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012727","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Thoracic aortic aneurysm","DESCRIPTION_FULL":"An abnormal localized widening (dilatation) of the thoracic aorta. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ECTOPIC_ANTERIOR_PITUITARY_GLAND","SYSTEMATIC_NAME":"M38173","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012731","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012731","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ectopic anterior pituitary gland","DESCRIPTION_FULL":"Abnormal anatomic location of the anterior pituitary gland. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ANORECTAL_ANOMALY","SYSTEMATIC_NAME":"M38174","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012732","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012732","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Anorectal anomaly","DESCRIPTION_FULL":"An abnormality of the anus or rectum. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MACULE","SYSTEMATIC_NAME":"M38175","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012733","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012733","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Macule","DESCRIPTION_FULL":"A flat, distinct, discolored area of skin less than 1 cm wide that does not involve any change in the thickness or texture of the skin. [HPO:probinson]"}
{"STANDARD_NAME":"HP_KETOTIC_HYPOGLYCEMIA","SYSTEMATIC_NAME":"M38176","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012734","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012734","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ketotic hypoglycemia","DESCRIPTION_FULL":"Low blood glucose is accompanied by elevated levels of ketone bodies in the body. [HPO:probinson]"}
{"STANDARD_NAME":"HP_COUGH","SYSTEMATIC_NAME":"M38177","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012735","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012735","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cough","DESCRIPTION_FULL":"A sudden, audible expulsion of air from the lungs through a partially closed glottis, preceded by inhalation. [HPO:probinson, PMID:16428719, PMID:17540788]"}
{"STANDARD_NAME":"HP_PROFOUND_GLOBAL_DEVELOPMENTAL_DELAY","SYSTEMATIC_NAME":"M38178","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012736","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012736","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Profound global developmental delay","DESCRIPTION_FULL":"A profound delay in the achievement of motor or mental milestones in the domains of development of a child. [DDD:hvfirth]"}
{"STANDARD_NAME":"HP_PAPILLOMA","SYSTEMATIC_NAME":"M38179","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012740","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012740","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Papilloma","DESCRIPTION_FULL":"A tumor of the skin or mucous membrane with finger-like projections. [HPO:probinson]"}
{"STANDARD_NAME":"HP_UNILATERAL_CRYPTORCHIDISM","SYSTEMATIC_NAME":"M38180","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012741","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012741","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Unilateral cryptorchidism","DESCRIPTION_FULL":"Absence of a testis from the scrotum on one side owing to failure of the testis or testes to descend through the inguinal canal to the scrotum. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABDOMINAL_OBESITY","SYSTEMATIC_NAME":"M38181","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012743","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012743","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abdominal obesity","DESCRIPTION_FULL":"Excessive fat around the stomach and abdomen. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SHORT_PALPEBRAL_FISSURE","SYSTEMATIC_NAME":"M38182","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012745","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012745","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Short palpebral fissure","DESCRIPTION_FULL":"Distance between the medial and lateral canthi is more than 2 SD below the mean for age (objective); or, apparently reduced length of the palpebral fissures. [PMID:19125427]"}
{"STANDARD_NAME":"HP_ABNORMAL_BRAINSTEM_MRI_SIGNAL_INTENSITY","SYSTEMATIC_NAME":"M38183","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012747","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012747","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal brainstem MRI signal intensity","DESCRIPTION_FULL":"A deviation from normal signal on magnetic resonance imaging (MRI) of the brainstem. [UToronto:htrang]"}
{"STANDARD_NAME":"HP_FOCAL_T2_HYPERINTENSE_BRAINSTEM_LESION","SYSTEMATIC_NAME":"M38184","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012748","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012748","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Focal T2 hyperintense brainstem lesion","DESCRIPTION_FULL":"A lighter than expected T2 signal on magnetic resonance imaging (MRI) of the brainstem. This term refers to a localized hyperintensity affecting a particular region of the brainstem. [UToronto:htrang]"}
{"STANDARD_NAME":"HP_ABNORMAL_BASAL_GANGLIA_MRI_SIGNAL_INTENSITY","SYSTEMATIC_NAME":"M38185","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012751","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012751","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal basal ganglia MRI signal intensity","DESCRIPTION_FULL":"A deviation from normal signal on magnetic resonance imaging (MRI) of the basal ganglia. [UToronto:htrang]"}
{"STANDARD_NAME":"HP_ABNORMAL_NEURON_MORPHOLOGY","SYSTEMATIC_NAME":"M38186","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012757","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012757","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal neuron morphology","DESCRIPTION_FULL":"A structural anomaly of a neuron. [KI:phemming]"}
{"STANDARD_NAME":"HP_CEREBRAL_WHITE_MATTER_ATROPHY","SYSTEMATIC_NAME":"M38187","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012762","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012762","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cerebral white matter atrophy","DESCRIPTION_FULL":"The presence of atrophy (wasting) of the cerebral white matter. [UToronto:htrang]"}
{"STANDARD_NAME":"HP_ORTHOPNEA","SYSTEMATIC_NAME":"M38188","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012764","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012764","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Orthopnea","DESCRIPTION_FULL":"A sensation of breathlessness in the recumbent position, relieved by sitting or standing. [UToronto:htrang]"}
{"STANDARD_NAME":"HP_WIDENED_CEREBELLAR_SUBARACHNOID_SPACE","SYSTEMATIC_NAME":"M41465","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012765","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012765","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Widened cerebellar subarachnoid space","DESCRIPTION_FULL":"An increase in size of the anatomic space between the arachnoid membrane and pia mater in the region surrounding the cerebellum. [UToronto:htrang]"}
{"STANDARD_NAME":"HP_WIDENED_CEREBRAL_SUBARACHNOID_SPACE","SYSTEMATIC_NAME":"M41466","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012766","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012766","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Widened cerebral subarachnoid space","DESCRIPTION_FULL":"An increase in size of the anatomic space between the arachnoid membrane and pia mater in the region surrounding the cerebrum. [UToronto:htrang]"}
{"STANDARD_NAME":"HP_ABNORMAL_PLACENTAL_SIZE","SYSTEMATIC_NAME":"M38189","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012767","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012767","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal placental size","DESCRIPTION_FULL":"A deviation from normal size of the placenta. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NEONATAL_ASPHYXIA","SYSTEMATIC_NAME":"M38190","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012768","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012768","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neonatal asphyxia","DESCRIPTION_FULL":"Respiratory failure in the newborn. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_ARM_SPAN","SYSTEMATIC_NAME":"M41467","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012769","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012769","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal arm span","DESCRIPTION_FULL":"A deviation from normal of the length of the arm span (length from one end of an individual's arms measured at the fingertips to the other when raised parallel to the ground at shoulder height at a one-hundred eighty degree angle) [HPO:probinson]"}
{"STANDARD_NAME":"HP_INCREASED_ARM_SPAN","SYSTEMATIC_NAME":"M41468","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012771","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012771","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased arm span","DESCRIPTION_FULL":"Increased length of the arm span (length from one end of an individual's arms measured at the fingertips to the other when raised parallel to the ground at shoulder height at a one-hundred eighty degree angle). [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_CILIARY_BODY_MORPHOLOGY","SYSTEMATIC_NAME":"M38191","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012776","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012776","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal ciliary body morphology","DESCRIPTION_FULL":"A structural anomaly of the ciliary body. [CINEAS:asollie]"}
{"STANDARD_NAME":"HP_NEOPLASM_OF_THE_EAR","SYSTEMATIC_NAME":"M38192","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012780","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012780","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neoplasm of the ear","DESCRIPTION_FULL":"A tumor (abnormal growth of tissue) of the ear. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INCREASED_CUP_TO_DISC_RATIO","SYSTEMATIC_NAME":"M41469","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012796","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012796","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased cup-to-disc ratio","DESCRIPTION_FULL":"An elevation in the ratio of the diameter of the cup of the optic disc to the total diameter of the disc. The optic disc has an orange-pink rim with a pale centre (the cup) that does not contain neuroretinal tissue. An increase in this ratio therefore may indicate a decrease in the quantity of healthy neuroretinal cells. [HPO:probinson, PMID:23557744]"}
{"STANDARD_NAME":"HP_NARROW_JAW","SYSTEMATIC_NAME":"M38195","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012801","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012801","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Narrow jaw","DESCRIPTION_FULL":"Bigonial distance (lower facial width) more than 2 standard deviations below the mean (objective); or an apparently decreased width of the lower jaw (mandible) when viewed from the front (subjective). [HPO:probinson, PMID:19125436]"}
{"STANDARD_NAME":"HP_BROAD_JAW","SYSTEMATIC_NAME":"M38196","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012802","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012802","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Broad jaw","DESCRIPTION_FULL":"Bigonial distance (lower facial width) more than 2 SD above the mean (objective); or an apparently increased width of the lower jaw (mandible) when viewed from the front (subjective). [HPO:probinson, PMID:19125436]"}
{"STANDARD_NAME":"HP_CORNEAL_ULCERATION","SYSTEMATIC_NAME":"M38197","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012804","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012804","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Corneal ulceration","DESCRIPTION_FULL":"Disruption of the epithelial layer of the cornea with involvement of the underlying stroma. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_NASAL_BASE","SYSTEMATIC_NAME":"M38198","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012808","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012808","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal nasal base","DESCRIPTION_FULL":"An anomaly of the nasal base, which can be conceived of as an imaginary line between the most lateral points of the external inferior attachments of the alae nasi to the face. [HPO:probinson, PMID:19152422]"}
{"STANDARD_NAME":"HP_WIDE_NASAL_RIDGE","SYSTEMATIC_NAME":"M38200","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012811","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012811","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Wide nasal ridge","DESCRIPTION_FULL":"Increased width of the nasal ridge. [HPO:probinson, PMID:19152422]"}
{"STANDARD_NAME":"HP_HYPOPLASTIC_FEMALE_EXTERNAL_GENITALIA","SYSTEMATIC_NAME":"M38201","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012815","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012815","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypoplastic female external genitalia","DESCRIPTION_FULL":"Underdevelopment of part or all of the female external reproductive organs (which include the mons pubis, labia majora, labia minora, Bartholin glands, and clitoris). [HPO:probinson]"}
{"STANDARD_NAME":"HP_NONCOMPACTION_CARDIOMYOPATHY","SYSTEMATIC_NAME":"M38202","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012817","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012817","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Noncompaction cardiomyopathy","DESCRIPTION_FULL":"A type of cardiomyopathy characterized anatomically by deep trabeculations in the ventricular wall, which define recesses communicating with the main ventricular chamber. [HPO:probinson, PMID:15210614, PMID:24282766]"}
{"STANDARD_NAME":"HP_RETINAL_VASCULAR_TORTUOSITY","SYSTEMATIC_NAME":"M38203","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012841","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012841","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Retinal vascular tortuosity","DESCRIPTION_FULL":"The presence of an increased number of twists and turns of the retinal blood vessels. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SKIN_APPENDAGE_NEOPLASM","SYSTEMATIC_NAME":"M38204","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012842","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012842","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Skin appendage neoplasm","DESCRIPTION_FULL":"A benign or malignant neoplasm that arises from the hair follicles, sebaceous glands, or sweat glands. [NCIT:C4463]"}
{"STANDARD_NAME":"HP_EPILEPSIA_PARTIALIS_CONTINUA","SYSTEMATIC_NAME":"M41470","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012847","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012847","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Epilepsia partialis continua","DESCRIPTION_FULL":"Epilepsia partialis continua (also called Kojevnikov's or Kozhevnikov's epilepsia) is a type of focal motor status epilepticus characterized by repeated stereotyped simple motor manifestations such as jerks, typically of a limb or the face, recurring every few seconds or minutes for extended periods (days or years). [ORCID:0000-0002-1735-8178, PMID:26336950, UToronto:htrang]"}
{"STANDARD_NAME":"HP_OVOTESTIS","SYSTEMATIC_NAME":"M38205","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012861","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012861","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ovotestis","DESCRIPTION_FULL":"A gonad that contains both ovarian follicles and testicular tubular elements. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_GERM_CELL_MORPHOLOGY","SYSTEMATIC_NAME":"M38206","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012862","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012862","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal germ cell morphology","DESCRIPTION_FULL":"Any structural anomaly of a reproductive cell. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_SPERM_HEAD_MORPHOLOGY","SYSTEMATIC_NAME":"M38207","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012865","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012865","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal sperm head morphology","DESCRIPTION_FULL":"A structural abnormality of the sperm head. [HPO:probinson, PMID:22198630]"}
{"STANDARD_NAME":"HP_ABNORMAL_SPERM_TAIL_MORPHOLOGY","SYSTEMATIC_NAME":"M38208","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012868","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012868","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal sperm tail morphology","DESCRIPTION_FULL":"A structural abnormality of the sperm tail. [HPO:probinson, PMID:22198630]"}
{"STANDARD_NAME":"HP_ACEPHALIC_SPERMATOZOA","SYSTEMATIC_NAME":"M41471","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012869","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012869","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Acephalic spermatozoa","DESCRIPTION_FULL":"Spermatozoa with very small cranial ends devoid of any nuclear material, that is, lacking a typical sperm head. [HPO:probinson, PMID:10402395]"}
{"STANDARD_NAME":"HP_ABNORMAL_VAS_DEFERENS_MORPHOLOGY","SYSTEMATIC_NAME":"M38209","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012872","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012872","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal vas deferens morphology","DESCRIPTION_FULL":"A structural anomaly of the secretory duct of the testicle that carries spermatozoa from the epididymis to the prostatic urethra where it terminates to form ejaculatory duct. [HPO:probinson, MP:0002769]"}
{"STANDARD_NAME":"HP_ABNORMAL_MALE_REPRODUCTIVE_SYSTEM_PHYSIOLOGY","SYSTEMATIC_NAME":"M38210","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012874","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012874","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal male reproductive system physiology","DESCRIPTION_FULL":"An abnormal functionality of the male genital system. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_LABIA_MINORA_MORPHOLOGY","SYSTEMATIC_NAME":"M38211","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012880","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012880","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal labia minora morphology","DESCRIPTION_FULL":"An anomaly of the labia minora, the folds of skin between the outer labia. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_LABIA_MAJORA_MORPHOLOGY","SYSTEMATIC_NAME":"M38212","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012881","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012881","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal labia majora morphology","DESCRIPTION_FULL":"An anomaly of the outer labia. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_UTERINE_CERVIX","SYSTEMATIC_NAME":"M38213","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012888","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012888","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the uterine cervix","DESCRIPTION_FULL":"An anomaly of the neck of the uterus (lower part of the uterus), called the uterine cervix. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HANDGRIP_MYOTONIA","SYSTEMATIC_NAME":"M38215","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012899","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012899","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Handgrip myotonia","DESCRIPTION_FULL":"Difficulty releasing one's grip associated with prolonged first handgrip relaxation times. [PMID:22987687, UToronto:htrang]"}
{"STANDARD_NAME":"HP_EURYBLEPHARON","SYSTEMATIC_NAME":"M38216","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0012905","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0012905","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Euryblepharon","DESCRIPTION_FULL":"Euryblepharon is a congenital eyelid anomaly characterized by horizontal enlargement of the palpebral fissure. The eyelid is shortened vertically compared with the horizontal dimension, with associated lateral canthal malpositioning and lateral ectropion abnormally wide lid opening. [HPO:probinson, PMID:15249382, PMID:15530943, PMID:24719364]"}
{"STANDARD_NAME":"HP_ESODEVIATION","SYSTEMATIC_NAME":"M38217","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0020045","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0020045","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Esodeviation","DESCRIPTION_FULL":"A manifest or latent ocular deviation in which one or both eyes tends to deviate nasally. [ORCID:0000-0003-0986-4123]"}
{"STANDARD_NAME":"HP_EXODEVIATION","SYSTEMATIC_NAME":"M38218","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0020049","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0020049","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Exodeviation","DESCRIPTION_FULL":"A manifest or latent ocular deviation in which one or both eyes tends to deviate temporally. [ORCID:0000-0003-0986-4123]"}
{"STANDARD_NAME":"HP_ABNORMAL_ERYTHROCYTE_PHYSIOLOGY","SYSTEMATIC_NAME":"M38219","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0020054","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0020054","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal erythrocyte physiology","DESCRIPTION_FULL":"Any functional abnormality of erythrocytes (red-blood cells). []"}
{"STANDARD_NAME":"HP_ABNORMAL_HEMOGLOBIN_CONCENTRATION","SYSTEMATIC_NAME":"M41472","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0020061","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0020061","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal hemoglobin concentration","DESCRIPTION_FULL":"Any deviation from the normal concentration of hemoglobin in the blood. []"}
{"STANDARD_NAME":"HP_PERSISTENT_EBV_VIREMIA","SYSTEMATIC_NAME":"M41473","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0020072","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0020072","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Persistent EBV viremia","DESCRIPTION_FULL":"Persistent presence of Epstein-Barr virus in the blood. []"}
{"STANDARD_NAME":"HP_HYPOPIGMENTED_MACULE","SYSTEMATIC_NAME":"M38220","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0020073","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0020073","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypopigmented macule","DESCRIPTION_FULL":"A white or lighter patch of skin that may appear anywhere on the body and are caused by decreased skin pigmentation. [PMID:24023426]"}
{"STANDARD_NAME":"HP_ERYTHROCYTE_INCLUSION_BODIES","SYSTEMATIC_NAME":"M38221","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0020080","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0020080","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Erythrocyte inclusion bodies","DESCRIPTION_FULL":"Nuclear or cytoplasmic aggregates of substances in red blood cells. []"}
{"STANDARD_NAME":"HP_HEINZ_BODIES","SYSTEMATIC_NAME":"M38222","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0020082","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0020082","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Heinz bodies","DESCRIPTION_FULL":"A type of erythrocyte inclusion composed of denatured hemoglobin. [PMID:21250106, PMID:24713708]"}
{"STANDARD_NAME":"HP_UNUSUAL_FUNGAL_INFECTION","SYSTEMATIC_NAME":"M41474","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0020100","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0020100","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Unusual fungal infection","DESCRIPTION_FULL":"An unusual fungal infection that is regarded as a sign of a pathological susceptibility to infection by a fungal agent. []"}
{"STANDARD_NAME":"HP_BONE_FRACTURE","SYSTEMATIC_NAME":"M41475","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0020110","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0020110","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Bone fracture","DESCRIPTION_FULL":"A partial or complete breakage of the continuity of a bone. []"}
{"STANDARD_NAME":"HP_HYPOPLASTIC_DERMOEPIDERMAL_HEMIDESMOSOMES","SYSTEMATIC_NAME":"M41476","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0020117","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0020117","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypoplastic dermoepidermal hemidesmosomes","DESCRIPTION_FULL":"Underdeveloped hemidesmosomes at the dermoepidermal junction. Hemidesmosomes are the specialized junctional complexes, that contribute to the attachment of epithelial cells to the underlying basement membrane in stratified and other complex epithelia, such as the skin. [PMID:11851880, PMID:25487405]"}
{"STANDARD_NAME":"HP_ABNORMAL_URINE_PROTEIN_LEVEL","SYSTEMATIC_NAME":"M38223","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0020129","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0020129","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal urine protein level","DESCRIPTION_FULL":"Any deviation of the concentration of one or more proteins in the urine. []"}
{"STANDARD_NAME":"HP_DISTAL_JOINT_LAXITY","SYSTEMATIC_NAME":"M38224","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0020152","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0020152","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Distal joint laxity","DESCRIPTION_FULL":"Lack of stability of a distal joint (e.g., finger). []"}
{"STANDARD_NAME":"HP_ABNORMAL_SARCOMERE_MORPHOLOGY","SYSTEMATIC_NAME":"M38225","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0020201","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0020201","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal sarcomere morphology","DESCRIPTION_FULL":"Any structural anomaly of the sarcomere, which is unit of a myofibril in a muscle cell, composed of an array of overlapping thick and thin filaments between two adjacent Z discs. []"}
{"STANDARD_NAME":"HP_REFLEX_SEIZURE","SYSTEMATIC_NAME":"M41477","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0020207","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0020207","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Reflex seizure","DESCRIPTION_FULL":"Seizures precipitated by exogenous stimuli. [ORCID:0000-0002-1735-8178, PMID:11422340]"}
{"STANDARD_NAME":"HP_MOTOR_SEIZURE","SYSTEMATIC_NAME":"M38226","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0020219","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0020219","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Motor seizure","DESCRIPTION_FULL":"A motor seizure is a type of seizure that is characterized at onset by involvement of the skeletal musculature. The motor event could consist of an increase (positive) or decrease (negative) in muscle contraction to produce a movement. [ORCID:0000-0002-1735-8178, PMID:28276060]"}
{"STANDARD_NAME":"HP_CLONIC_SEIZURE","SYSTEMATIC_NAME":"M38227","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0020221","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0020221","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Clonic seizure","DESCRIPTION_FULL":"A clonic seizure is a type of motor seizure characterized by sustained rhythmic jerking, that is regularly repetitive. [ORCID:0000-0002-1735-8178, PMID:11580774]"}
{"STANDARD_NAME":"HP_ABNORMAL_VASCULAR_MORPHOLOGY","SYSTEMATIC_NAME":"M38228","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025015","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025015","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal vascular morphology"}
{"STANDARD_NAME":"HP_ARTERIAL_RUPTURE","SYSTEMATIC_NAME":"M41478","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025019","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025019","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Arterial rupture","DESCRIPTION_FULL":"Sudden breakage of an artery leading to leakage of blood from the circulation. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_ERYTHROCYTE_SEDIMENTATION_RATE","SYSTEMATIC_NAME":"M41479","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025021","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025021","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal erythrocyte sedimentation rate","DESCRIPTION_FULL":"A deviation from normal range of the erythrocyte sedimentation rate (ESR), a test that measures the distance that erythrocytes have fallen after one hour in a vertical column of anticoagulated blood under the influence of gravity. The ESR is a nonspecific finding. An elevation may indicate inflammation or may be caused by any condition that elevates fibrinogen. A decreased ESR may be seen in polycythemia or in certain blood diseases in which red blood cells have an irregular or smaller shape that causes slower settling. [PMID:10524488]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_DIGESTIVE_SYSTEM_MORPHOLOGY","SYSTEMATIC_NAME":"M38229","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025033","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025033","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of digestive system morphology","DESCRIPTION_FULL":"A structural anomaly of the digestive system. []"}
{"STANDARD_NAME":"HP_ABNORMAL_BRAIN_LACTATE_LEVEL_BY_MRS","SYSTEMATIC_NAME":"M38230","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025045","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025045","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal brain lactate level by MRS","DESCRIPTION_FULL":"A deviation from normal of the level of lactate in the brain identified by magnetic resonance spectroscopy (MRS). []"}
{"STANDARD_NAME":"HP_ABNORMAL_BRAIN_CHOLINE_LEVEL_BY_MRS","SYSTEMATIC_NAME":"M41480","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025047","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025047","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal brain choline level by MRS","DESCRIPTION_FULL":"A deviation from normal in the level of choline-containing compounds in the brain identified by magnetic resonance spectroscopy (MRS). []"}
{"STANDARD_NAME":"HP_ABNORMAL_BRAIN_N_ACETYL_ASPARTATE_LEVEL_BY_MRS","SYSTEMATIC_NAME":"M38231","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025052","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025052","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal brain N-acetyl aspartate level by MRS","DESCRIPTION_FULL":"A deviation from normal in the level of N-acetyl aspartate in the brain identified by magnetic resonance spectroscopy (MRS). []"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_OLFACTORY_LOBE_MORPHOLOGY","SYSTEMATIC_NAME":"M38232","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025057","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025057","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of olfactory lobe morphology","DESCRIPTION_FULL":"A structural anomaly of the olfactory lobe, the structure within the brain that receives neural input from the nasal cavity and thereby processes the sense of smell. []"}
{"STANDARD_NAME":"HP_ABNORMAL_MEAN_CORPUSCULAR_VOLUME","SYSTEMATIC_NAME":"M38233","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025065","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025065","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal mean corpuscular volume","DESCRIPTION_FULL":"A deviation from normal of the mean corpuscular volume, or mean cell volume (MCV) of red blood cells, usually taken to be 80 to 100 femtoliters. []"}
{"STANDARD_NAME":"HP_DECREASED_MEAN_CORPUSCULAR_VOLUME","SYSTEMATIC_NAME":"M38234","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025066","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025066","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased mean corpuscular volume","DESCRIPTION_FULL":"A reduction from normal of the mean corpuscular volume, or mean cell volume (MCV) of red blood cells (usually defined as an MCV below 80 femtoliters). []"}
{"STANDARD_NAME":"HP_INCOMITANT_STRABISMUS","SYSTEMATIC_NAME":"M38235","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025068","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025068","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Incomitant strabismus","DESCRIPTION_FULL":"Strabismus in which the angle of deviation differs depending upon the direction of gaze or according to which eye is fixing, associated with: (i) defective movement of the eye, (ii) asymmetrical accommodative effort. [ORCID:0000-0003-0986-4123]"}
{"STANDARD_NAME":"HP_ABNORMAL_QRS_COMPLEX","SYSTEMATIC_NAME":"M41481","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025074","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025074","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal QRS complex","DESCRIPTION_FULL":"An anomaly of the complex formed by the Q, R, and S waves, which occur in rapid succession on the electrocardiogram. []"}
{"STANDARD_NAME":"HP_ABNORMAL_CUTANEOUS_ELASTIC_FIBER_MORPHOLOGY","SYSTEMATIC_NAME":"M41482","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025082","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025082","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal cutaneous elastic fiber morphology","DESCRIPTION_FULL":"Any structural anomaly of the elastic fibers of the skin. Elastic fibers are the essential extracellular matrix macromolecules comprising an elastin core surrounded by a mantle of fibrillin-rich microfibrils. [PMID:12082143, PMID:21738362]"}
{"STANDARD_NAME":"HP_FOLLICULITIS","SYSTEMATIC_NAME":"M38236","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025084","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025084","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Folliculitis","DESCRIPTION_FULL":"Inflammatory cells within the wall and ostia of the hair follicle, creating a follicular-based pustule. []"}
{"STANDARD_NAME":"HP_BLOODY_DIARRHEA","SYSTEMATIC_NAME":"M38237","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025085","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025085","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Bloody diarrhea","DESCRIPTION_FULL":"Passage of many stools containing blood. []"}
{"STANDARD_NAME":"HP_EPIDERMAL_ACANTHOSIS","SYSTEMATIC_NAME":"M38238","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025092","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025092","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Epidermal acanthosis","DESCRIPTION_FULL":"Diffuse hypertrophy or thickening of the stratum spinosum of the epidermis (prickle cell layer of the skin). []"}
{"STANDARD_NAME":"HP_EYELID_MYOCLONUS","SYSTEMATIC_NAME":"M41483","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025097","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025097","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Eyelid myoclonus","DESCRIPTION_FULL":"Marked, involuntary jerking of the eyelids. []"}
{"STANDARD_NAME":"HP_DYSGENESIS_OF_THE_HIPPOCAMPUS","SYSTEMATIC_NAME":"M38239","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025101","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025101","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Dysgenesis of the hippocampus","DESCRIPTION_FULL":"Structural abnormality of the hippocampus related to defective development. []"}
{"STANDARD_NAME":"HP_CAPILLARY_MALFORMATION","SYSTEMATIC_NAME":"M38240","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025104","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025104","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Capillary malformation","DESCRIPTION_FULL":"A capillary malformation is a flat, sharply defined vascular stain of the skin. It may cover a large surface area or it may be scattered and appear as little islands of color. In a capillary maformation, the predominant vessels are small, slow-flow vessels (i.e., arterioles and postcapillary venules). [PMID:22483320, PMID:25864701]"}
{"STANDARD_NAME":"HP_SOUND_SENSITIVITY","SYSTEMATIC_NAME":"M38241","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025112","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025112","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Sound sensitivity","DESCRIPTION_FULL":"Decreased tolerance to sound. []"}
{"STANDARD_NAME":"HP_HYPERGRANULOSIS","SYSTEMATIC_NAME":"M38242","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025114","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025114","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypergranulosis","DESCRIPTION_FULL":"Hypergranulosis is an increased thickness of the stratum granulosum. []"}
{"STANDARD_NAME":"HP_FETAL_DISTRESS","SYSTEMATIC_NAME":"M38243","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025116","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025116","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Fetal distress","DESCRIPTION_FULL":"An intrauterine state characterized by suboptimal values in the fetal heart rate, oxygenation of fetal blood, or other parameters indicative of compromise of the fetus. Signs of fetal distress include repetitive variable decelerations, fetal tachycardia or bradycardia, late decelerations, or low biophysical profile. []"}
{"STANDARD_NAME":"HP_FINGER_SWELLING","SYSTEMATIC_NAME":"M38244","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025131","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025131","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Finger swelling","DESCRIPTION_FULL":"Enlargement of the soft tissues of one or more fingers. [PMID:16269085, PMID:19946526, PMID:24758199, PMID:9715244]"}
{"STANDARD_NAME":"HP_ABNORMAL_CIRCULATING_ESTROGEN_LEVEL","SYSTEMATIC_NAME":"M38245","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025132","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025132","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal circulating estrogen level","DESCRIPTION_FULL":"A deviation from normal concentration of the hormone estrogen in the blood circulation. []"}
{"STANDARD_NAME":"HP_CONSTITUTIONAL_SYMPTOM","SYSTEMATIC_NAME":"M38246","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025142","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025142","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Constitutional symptom","DESCRIPTION_FULL":"A symptom or manifestation indicating a systemic or general effect of a disease and that may affect the general well-being or status of an individual. []"}
{"STANDARD_NAME":"HP_CHILLS","SYSTEMATIC_NAME":"M38247","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025143","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025143","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Chills","DESCRIPTION_FULL":"A sudden sensation of feeling cold. []"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_HEPATOBILIARY_SYSTEM_PHYSIOLOGY","SYSTEMATIC_NAME":"M38248","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025155","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025155","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of hepatobiliary system physiology","DESCRIPTION_FULL":"A functional anomaly of the hepatobiliary system []"}
{"STANDARD_NAME":"HP_HYPERAUTOFLUORESCENT_RETINAL_LESION","SYSTEMATIC_NAME":"M41484","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025158","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025158","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hyperautofluorescent retinal lesion","DESCRIPTION_FULL":"Increased amount of autofluorescence in the retina as ascertained by fundus autofluorescence imaging. []"}
{"STANDARD_NAME":"HP_ABNORMAL_TEMPER_TANTRUMS","SYSTEMATIC_NAME":"M38249","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025160","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025160","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal temper tantrums","DESCRIPTION_FULL":"A temper tantrum is an emotional outburst usually triggered by a sense of frustration and manifested as whining and crying, screaming, kicking, hitting, and breath holding. Temper tantrums are normal in toddlers and young children and usually happen between the ages of one to three years. Temper tantrums may be considered abnormal if they occur at an unusually high frequency, are of unusual severity, or occur at an old age than usual. []"}
{"STANDARD_NAME":"HP_LEFT_VENTRICULAR_SYSTOLIC_DYSFUNCTION","SYSTEMATIC_NAME":"M38250","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025169","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025169","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Left ventricular systolic dysfunction","DESCRIPTION_FULL":"Abnormality of left ventricular contraction, often defined operationally as an ejection fraction of less than 40 percent. []"}
{"STANDARD_NAME":"HP_HONEYCOMB_LUNG","SYSTEMATIC_NAME":"M41485","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025175","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025175","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Honeycomb lung","DESCRIPTION_FULL":"Extensive interstitial fibrosis with alveolar disruption and bronchiolectasis. []"}
{"STANDARD_NAME":"HP_BILATERAL_TONIC_CLONIC_SEIZURE_WITH_GENERALIZED_ONSET","SYSTEMATIC_NAME":"M38251","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025190","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025190","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Bilateral tonic-clonic seizure with generalized onset","DESCRIPTION_FULL":"A bilateral tonic-clonic seizure with generalized onset is a type of bilateral tonic-clonic seizure characterised by generalized onset; these seizures rapidly engage networks in both hemispheres at the start of the seizure. [PMID:20196795, PMID:28276060, PMID:28276064, PMID:6790275]"}
{"STANDARD_NAME":"HP_ABNORMAL_CIRCULATING_APOLIPOPROTEIN_CONCENTRATION","SYSTEMATIC_NAME":"M41486","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025201","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025201","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal circulating apolipoprotein concentration","DESCRIPTION_FULL":"A deviation from the normal concentration in blood of an apolipoprotein, i.e., of a protein that binds lipids to form lipoprotein and is thereby responsible for the transport of lipids in the blood and lymph circulation. []"}
{"STANDARD_NAME":"HP_CUTANEOUS_CYST","SYSTEMATIC_NAME":"M38252","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025245","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025245","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cutaneous cyst","DESCRIPTION_FULL":"A hollow mass located in the skin that is surrounded by an epithelium-lined wall and is well demarcated from the adjacent tissue. Cysts are often said to be sac-like and may contain serous liquid or semisolid material. []"}
{"STANDARD_NAME":"HP_DERMOID_CYST","SYSTEMATIC_NAME":"M38253","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025247","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025247","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Dermoid cyst","DESCRIPTION_FULL":"A congenital subcutaneous cyst that arises from entrapment of skin along the lines of embryonic fusion. In contrast to epidermal cysts, dermoid cysts tend to contain various adnexal structures such as hair, sebaceous, eccrine or apocrine glands. Dermoid cysts are present at birth, and are indolent, firm, deep, subcutaneous nodules. They are often located on the head and neck, and rarely in the anogenital area. Dermoid cysts are\\nslowly progressive and can grow to a size of 1 to 4 cm. []"}
{"STANDARD_NAME":"HP_SNORING","SYSTEMATIC_NAME":"M38254","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025267","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025267","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Snoring","DESCRIPTION_FULL":"Deep, noisy breathing during sleep accompanied by hoarse or harsh sounds caused by the vibration of respiratory structures (especially the soft palate) resulting in sound due to obstructed air movement during breathing while sleeping. []"}
{"STANDARD_NAME":"HP_STUTTERING","SYSTEMATIC_NAME":"M38255","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025268","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025268","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Stuttering","DESCRIPTION_FULL":"Disruptions in the production of speech sounds, with involuntary repetitions of words or parts of words, prolongations of speech sounds, or complete blockage of speech production for several seconds. []"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_ESOPHAGUS_PHYSIOLOGY","SYSTEMATIC_NAME":"M38256","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025270","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025270","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of esophagus physiology","DESCRIPTION_FULL":"Any physiological abnormality of the esophagus. []"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_SKIN_ADNEXA_PHYSIOLOGY","SYSTEMATIC_NAME":"M38257","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025276","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025276","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of skin adnexa physiology","DESCRIPTION_FULL":"Any functional anomaly of the skin adnexa (skin appendages), which are specialized skin structures located within the dermis and focally within the subcutaneous fatty tissue, comprising three histologically distinct structures: (1) the pilosebaceous unit (hair follicle and sebaceous glands); (2) the eccrine sweat glands; and (3) the apocrine glands. []"}
{"STANDARD_NAME":"HP_CERVICAL_LYMPHADENOPATHY","SYSTEMATIC_NAME":"M41487","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025289","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025289","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cervical lymphadenopathy","DESCRIPTION_FULL":"Enlarged lymph nodes in the neck. []"}
{"STANDARD_NAME":"HP_MALAR_RASH","SYSTEMATIC_NAME":"M38258","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025300","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025300","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Malar rash","DESCRIPTION_FULL":"An erythematous (red), flat facial rash that affects the skin in the malar area (over the cheekbones) and extends over the bridge of the nose. []"}
{"STANDARD_NAME":"HP_OVARIAN_CARCINOMA","SYSTEMATIC_NAME":"M38259","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025318","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025318","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ovarian carcinoma","DESCRIPTION_FULL":"A malignant neoplasm originating from the surface ovarian epithelium. []"}
{"STANDARD_NAME":"HP_ABNORMAL_ARTERIAL_PHYSIOLOGY","SYSTEMATIC_NAME":"M38260","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025323","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025323","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal arterial physiology","DESCRIPTION_FULL":"An anomaly of arterial function. []"}
{"STANDARD_NAME":"HP_UPGAZE_PALSY","SYSTEMATIC_NAME":"M38261","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025331","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025331","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Upgaze palsy","DESCRIPTION_FULL":"A limitation of the ability to direct one's gaze above the horizontal meridian. []"}
{"STANDARD_NAME":"HP_DELAYED_ABILITY_TO_STAND","SYSTEMATIC_NAME":"M41488","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025335","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025335","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Delayed ability to stand","DESCRIPTION_FULL":"A failure to achieve the ability to stand up at an appropriate developmental stage. Most children begin to walk alone at 11 to 15 months of age. On average, children can stand while holding on at the age of 9 to 10 months, can pull up to stand and walk with one hand being held at 12 months, and can stand alone and walk well at 18 months. [PMID:23321410, PMID:27354457]"}
{"STANDARD_NAME":"HP_DELAYED_ABILITY_TO_SIT","SYSTEMATIC_NAME":"M38262","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025336","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025336","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Delayed ability to sit","DESCRIPTION_FULL":"A failure to achieve the ability to sit at an appropriate developmental stage. Most children sit with support at 6 months of age and sit steadily without support at 9 months of age. [PMID:23321410, PMID:27354457]"}
{"STANDARD_NAME":"HP_RED_EYE","SYSTEMATIC_NAME":"M38263","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025337","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025337","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Red eye","DESCRIPTION_FULL":"A reddish appearance over the white part (sclera) of the eye ranging from a few enlarged blood vessels appearing as wiggly lines over the sclera to a bright red color completely covering to sclera. []"}
{"STANDARD_NAME":"HP_LUPUS_ANTICOAGULANT","SYSTEMATIC_NAME":"M38264","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025343","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025343","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Lupus anticoagulant","DESCRIPTION_FULL":"Presence of lupus anticoagulant (LA) autoantibodies. LA represent a heterogeneous group of autoantibodies, IgG, IgM, or a mixture of both classes, that interfere with standard phospholipid-based coagulant tests (this is only an in vitro phenomenon, LA do not cause reduction of coagulation in vivo). The antibodies are directed against plasma proteins which also bind to phospholipid surfaces. [PMID:27331311]"}
{"STANDARD_NAME":"HP_AUTOSOMAL_DOMINANT_GERMLINE_DE_NOVO_MUTATION","SYSTEMATIC_NAME":"M41489","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025352","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025352","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Autosomal dominant germline de novo mutation","DESCRIPTION_FULL":"Being related to a mutation that gamete that participates in fertilization. All cells of the emerging organism will be affected and the variant canl be passed on to the next generation. []"}
{"STANDARD_NAME":"HP_ABNORMAL_CELLULAR_PHENOTYPE","SYSTEMATIC_NAME":"M38265","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025354","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025354","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal cellular phenotype","DESCRIPTION_FULL":"An anomaly of cellular morphology or physiology. []"}
{"STANDARD_NAME":"HP_PSYCHOMOTOR_RETARDATION","SYSTEMATIC_NAME":"M38266","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025356","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025356","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Psychomotor retardation"}
{"STANDARD_NAME":"HP_UVEAL_ECTROPION","SYSTEMATIC_NAME":"M38267","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025358","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025358","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Uveal ectropion","DESCRIPTION_FULL":"Presence of iris pigment epithelium on the anterior surface of the iris. []"}
{"STANDARD_NAME":"HP_INTERICTAL_EEG_ABNORMALITY","SYSTEMATIC_NAME":"M38268","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025373","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025373","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Interictal EEG abnormality","DESCRIPTION_FULL":"Interictal refers to a period of time between epileptic seizures. Electroencephalographic (EEG) patterns are important in the differential diagnosis of epilepsy, and the EEG is almost always abnormal during a seizure. Some persons with seizures may show EEG abnormalities between seizures, while others do not. In some cases, multiple interictal EEGs must be recorded before an abnormality is observed. In most cases the electrographic pattern of seizure onset is completely different from the activity recorded during interictal discharge. [PMID:15961864, PMID:25012363]"}
{"STANDARD_NAME":"HP_PILL_ROLLING_TREMOR","SYSTEMATIC_NAME":"M41490","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025387","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025387","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pill-rolling tremor","DESCRIPTION_FULL":"A type of resting tremor characterized by simultaneous rubbing movements of thumb and index fingers against each other. []"}
{"STANDARD_NAME":"HP_PULMONARY_INTERSTITIAL_HIGH_RESOLUTION_COMPUTED_TOMOGRAPHY_ABNORMALITY","SYSTEMATIC_NAME":"M38269","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025389","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025389","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pulmonary interstitial high-resolution computed tomography abnormality","DESCRIPTION_FULL":"High-resolution computed tomography (HRCT) can distinguish findings that characterize characterise interstitial lung diseases in a way not possible with other modalities. [PMID:23247773]"}
{"STANDARD_NAME":"HP_STARING_GAZE","SYSTEMATIC_NAME":"M38270","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025401","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025401","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Staring gaze","DESCRIPTION_FULL":"An abnormality in which the eyes are held permanently wide open. [PMID:22675666]"}
{"STANDARD_NAME":"HP_STOOPED_POSTURE","SYSTEMATIC_NAME":"M38271","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025403","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025403","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Stooped posture","DESCRIPTION_FULL":"A habitual positioning of the body with the head and upper back bent forward. []"}
{"STANDARD_NAME":"HP_ABNORMAL_VISUAL_FIXATION","SYSTEMATIC_NAME":"M38272","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025404","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025404","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal visual fixation","DESCRIPTION_FULL":"Any anomaly in the process of ocular fixation, which is the maintaining of the visual gaze on a single location. []"}
{"STANDARD_NAME":"HP_VISUAL_FIXATION_INSTABILITY","SYSTEMATIC_NAME":"M38273","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025405","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025405","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Visual fixation instability","DESCRIPTION_FULL":"A deficit in the ability to fixate eye movements in order to stabilize images on the retina []"}
{"STANDARD_NAME":"HP_DIFFUSE_ALVEOLAR_HEMORRHAGE","SYSTEMATIC_NAME":"M38274","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025420","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025420","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Diffuse alveolar hemorrhage","DESCRIPTION_FULL":"A type of of pulmonary hemorrhage that originates from the pulmonary microcirculation, including the alveolar capillaries, arterioles, and venules. It presents with hemoptysis, anemia, diffuse lung infiltration, and acute respiratory failure. The diagnosis is confirmed by the observation of the accumulation of red blood cells, fibrin, or hemosiderin-laden macrophage in the alveolar space on pathologic biopsy. Hemosiderin, a product of hemoglobin degradation, appears at least 48-72 hours after bleeding and is helpful in distinguishing diffuse alveolar hemorrhage from surgical trauma. Mild interstitial thickening, organizing pneumonia, or diffuse alveolar damage can also be seen. [PMID:23678356]"}
{"STANDARD_NAME":"HP_ABNORMAL_LARYNX_MORPHOLOGY","SYSTEMATIC_NAME":"M38275","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025423","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025423","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal larynx morphology","DESCRIPTION_FULL":"Any anomaly of the structure of the larynx. []"}
{"STANDARD_NAME":"HP_ABNORMAL_LARYNX_PHYSIOLOGY","SYSTEMATIC_NAME":"M38276","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025424","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025424","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal larynx physiology","DESCRIPTION_FULL":"Any anomaly of the function of the larynx. []"}
{"STANDARD_NAME":"HP_ABNORMAL_BRONCHUS_MORPHOLOGY","SYSTEMATIC_NAME":"M38278","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025426","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025426","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal bronchus morphology","DESCRIPTION_FULL":"Any structural anomaly of the bronchi, i.e., of the airways leading from the trachea to the lungs. []"}
{"STANDARD_NAME":"HP_ABNORMAL_BRONCHUS_PHYSIOLOGY","SYSTEMATIC_NAME":"M38279","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025427","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025427","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal bronchus physiology","DESCRIPTION_FULL":"Any anomaly of the function of the bronchi. []"}
{"STANDARD_NAME":"HP_ABNORMAL_CRY","SYSTEMATIC_NAME":"M38280","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025429","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025429","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal cry","DESCRIPTION_FULL":"Any anomaly of the vocalizing of an infant's crying, i.e.,the typically loud voice production that is accompanied by tears and agitation. []"}
{"STANDARD_NAME":"HP_HIGH_PITCHED_CRY","SYSTEMATIC_NAME":"M38281","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025430","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025430","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"High-pitched cry","DESCRIPTION_FULL":"A type of crying in an abnormally high-pitched voice. []"}
{"STANDARD_NAME":"HP_INCREASED_LACTATE_DEHYDROGENASE_LEVEL","SYSTEMATIC_NAME":"M38282","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025435","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025435","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased lactate dehydrogenase level","DESCRIPTION_FULL":"An elevated level of the enzyme lactate dehydrogenase in serum. []"}
{"STANDARD_NAME":"HP_PHARYNGITIS","SYSTEMATIC_NAME":"M38283","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025439","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025439","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pharyngitis","DESCRIPTION_FULL":"Inflammation (due to infection or irritation) of the pharynx. []"}
{"STANDARD_NAME":"HP_PYODERMA_GANGRENOSUM","SYSTEMATIC_NAME":"M38284","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025452","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025452","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pyoderma gangrenosum","DESCRIPTION_FULL":"A deep skin ulcer with a well defined border, which is usually violet or blue. The ulcer edge is often undermined (worn and damaged) and the surrounding skin is erythematous and indurated. The ulcer often starts as a small papule or collection of papules, which break down to form small ulcers with a so called cat's paw appearance. These coalesce and the central area then undergoes necrosis to form a single ulcer. [PMID:16858047]"}
{"STANDARD_NAME":"HP_ABNORMAL_CSF_METABOLITE_LEVEL","SYSTEMATIC_NAME":"M38285","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025454","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025454","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal CSF metabolite level","DESCRIPTION_FULL":"Any deviation from the normal range of concentration of a metabolite in the cerebrospinal fluid. []"}
{"STANDARD_NAME":"HP_ABNORMAL_CSF_PROTEIN_LEVEL","SYSTEMATIC_NAME":"M38286","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025456","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025456","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal CSF protein level","DESCRIPTION_FULL":"Any deviation from the normal range of a protein concentration in the cerebrospinal fluid. []"}
{"STANDARD_NAME":"HP_ABNORMAL_CELL_MORPHOLOGY","SYSTEMATIC_NAME":"M38287","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025461","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025461","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal cell morphology","DESCRIPTION_FULL":"Any anomaly of cell structure. []"}
{"STANDARD_NAME":"HP_ABNORMAL_CIRCULATING_BETA_GLOBULIN_LEVEL","SYSTEMATIC_NAME":"M38288","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025465","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025465","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal circulating beta globulin level","DESCRIPTION_FULL":"A deviation from the normal concentration of beta globulin. The beta globulins are a group of globular (globe-shaped) proteins in blood. []"}
{"STANDARD_NAME":"HP_ERYTHEMATOUS_PLAQUE","SYSTEMATIC_NAME":"M41491","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025474","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025474","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Erythematous plaque","DESCRIPTION_FULL":"A plaque (a solid, raised, plateau-like (flat-topped) lesion greater than 1 cm in diameter) with a red or reddish color often associated with inflammation or irritation. []"}
{"STANDARD_NAME":"HP_ATRIAL_STANDSTILL","SYSTEMATIC_NAME":"M38289","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025478","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025478","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Atrial standstill","DESCRIPTION_FULL":"Atrial standstill or silent atrium is a rare condition presenting with the absence of electrical and mechanical activity in the atria. It presents with the absence of P waves, bradycardia, and wide QRS complex in the electrocardiogram. [PMID:23074623]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_BLADDER_MORPHOLOGY","SYSTEMATIC_NAME":"M38290","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025487","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025487","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of bladder morphology","DESCRIPTION_FULL":"Any structural anomaly of the bladder. []"}
{"STANDARD_NAME":"HP_OVERWEIGHT","SYSTEMATIC_NAME":"M38291","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025502","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025502","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Overweight","DESCRIPTION_FULL":"Increased body weight with a body mass index of 25-29.9 kg per square meter. []"}
{"STANDARD_NAME":"HP_MORNING_GLORY_ANOMALY","SYSTEMATIC_NAME":"M38292","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025514","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025514","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Morning glory anomaly","DESCRIPTION_FULL":"An abnormality of the optic nerve in which the optic nerve is large and funneled and displays a conical excavation of the optic disc. The optic disc appears dysplastic. []"}
{"STANDARD_NAME":"HP_HYPOPLASTIC_HIPPOCAMPUS","SYSTEMATIC_NAME":"M38293","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025517","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025517","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypoplastic hippocampus","DESCRIPTION_FULL":"Underdevelopment of the hippocampus. []"}
{"STANDARD_NAME":"HP_ABNORMAL_B_CELL_SUBSET_DISTRIBUTION","SYSTEMATIC_NAME":"M41492","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025539","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025539","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal B cell subset distribution"}
{"STANDARD_NAME":"HP_ABNORMAL_T_CELL_SUBSET_DISTRIBUTION","SYSTEMATIC_NAME":"M38294","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025540","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025540","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal T cell subset distribution","DESCRIPTION_FULL":"Any abnormality in the proportion T cells subsets relative to the total number of T cells. []"}
{"STANDARD_NAME":"HP_ABNORMAL_MEAN_CORPUSCULAR_HEMOGLOBIN_CONCENTRATION","SYSTEMATIC_NAME":"M38295","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025546","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025546","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal mean corpuscular hemoglobin concentration","DESCRIPTION_FULL":"A deviation from the normal range of the average amount of hemoglobin per red blood cell (27 to 31 picograms/cell). A reduced mean corpuscular hemoglobin (MCH) may indicate a hypochromic anemia, but the MCH may be normal if both the total hemoglobin and the red blood cell count are reduced. []"}
{"STANDARD_NAME":"HP_DECREASED_MEAN_CORPUSCULAR_HEMOGLOBIN_CONCENTRATION","SYSTEMATIC_NAME":"M38296","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025547","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025547","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased mean corpuscular hemoglobin concentration","DESCRIPTION_FULL":"A reduction from the normal range of the average amount of hemoglobin per red blood cell (27 to 31 picograms/cell). A reduced mean corpuscular hemoglobin (MCH) may indicate a hypochromic anemia, but the MCH may be normal if both the total hemoglobin and the red blood cell count are reduced. []"}
{"STANDARD_NAME":"HP_INCREASED_MEAN_CORPUSCULAR_HEMOGLOBIN_CONCENTRATION","SYSTEMATIC_NAME":"M38297","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025548","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025548","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased mean corpuscular hemoglobin concentration","DESCRIPTION_FULL":"An elevation over the normal range of the average amount of hemoglobin per red blood cell (27 to 31 picograms/cell). []"}
{"STANDARD_NAME":"HP_ECCENTRIC_VISUAL_FIXATION","SYSTEMATIC_NAME":"M41493","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025549","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025549","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Eccentric visual fixation","DESCRIPTION_FULL":"A uniocular condition in which there is fixation of an object by a point other than the fovea. This point adopts the principal visual direction. The degree of the eccentric fixation is defined by its distance from the fovea in degrees. [ORCID:0000-0003-0986-4123]"}
{"STANDARD_NAME":"HP_OPTIC_NERVE_MISROUTING","SYSTEMATIC_NAME":"M41494","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025551","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025551","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Optic nerve misrouting","DESCRIPTION_FULL":"Abnormal decussation of the visual pathways, typically identified using visual evoked potentials (VEP) (asymmetrical distribution of the VEP over the posterior scalp). []"}
{"STANDARD_NAME":"HP_ABNORMAL_MORPHOLOGY_OF_THE_CHOROIDAL_VASCULATURE","SYSTEMATIC_NAME":"M38298","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025568","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025568","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal morphology of the choroidal vasculature"}
{"STANDARD_NAME":"HP_ABNORMAL_LEFT_ATRIUM_MORPHOLOGY","SYSTEMATIC_NAME":"M38299","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025579","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025579","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal left atrium morphology","DESCRIPTION_FULL":"Any structural abnormality of the left atrium. []"}
{"STANDARD_NAME":"HP_ABNORMAL_RIGHT_ATRIUM_MORPHOLOGY","SYSTEMATIC_NAME":"M38300","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025580","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025580","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal right atrium morphology","DESCRIPTION_FULL":"Any structural abnormality of the right atrium. []"}
{"STANDARD_NAME":"HP_FOCAL_EMOTIONAL_SEIZURE","SYSTEMATIC_NAME":"M41495","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025613","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025613","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Focal emotional seizure","DESCRIPTION_FULL":"Seizures presenting with an emotion or the appearance of having an emotion as an early prominent feature, such as fear, spontaneous joy or euphoria, laughing (gelastic), or crying, (dacrystic). These emotional seizures may occur with or without objective clinical signs of a seizure evident to the observer. [PMID:28276060, PMID:28276062, PMID:28276064]"}
{"STANDARD_NAME":"HP_ABSCESS","SYSTEMATIC_NAME":"M38301","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025615","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025615","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abscess"}
{"STANDARD_NAME":"HP_ABNORMAL_URETER_MORPHOLOGY","SYSTEMATIC_NAME":"M38302","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025633","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025633","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal ureter morphology","DESCRIPTION_FULL":"A structural abnormality of the ureter. The ureter is the duct by which urine passes from the kidney to the bladder. []"}
{"STANDARD_NAME":"HP_ABNORMAL_URETER_PHYSIOLOGY","SYSTEMATIC_NAME":"M38303","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0025634","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0025634","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal ureter physiology","DESCRIPTION_FULL":"A functional abnormality of the ureter. The ureter is the duct by which urine passes from the kidney to the bladder. []"}
{"STANDARD_NAME":"HP_SINGLE_FIBER_EMG_ABNORMALITY","SYSTEMATIC_NAME":"M38304","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030006","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030006","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Single fiber EMG abnormality","DESCRIPTION_FULL":"Abnormality in single fiber EMG recording, a technique that allows identification of action potentials (APs) from individual muscle fibers. [HPO:probinson, PMID:21654930]"}
{"STANDARD_NAME":"HP_ABNORMAL_FEMALE_REPRODUCTIVE_SYSTEM_PHYSIOLOGY","SYSTEMATIC_NAME":"M38305","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030012","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030012","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal female reproductive system physiology"}
{"STANDARD_NAME":"HP_FEMALE_SEXUAL_DYSFUNCTION","SYSTEMATIC_NAME":"M38306","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030014","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030014","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Female sexual dysfunction","DESCRIPTION_FULL":"A problem occurring during any phase of the female sexual response cycle that prevents the individual from experiencing satisfaction from the sexual activity [PMID:26953829]"}
{"STANDARD_NAME":"HP_DYSPAREUNIA","SYSTEMATIC_NAME":"M38307","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030016","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030016","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Dyspareunia","DESCRIPTION_FULL":"Recurrent or persistent genital pain associated with sexual intercourse. [PMID:16391543]"}
{"STANDARD_NAME":"HP_ENCHONDROMA","SYSTEMATIC_NAME":"M38308","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030038","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030038","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Enchondroma","DESCRIPTION_FULL":"A solitary, benign, intramedullary cartilage tumor that is often found in the short tubular bones of the hands and feet, distal femur, and proximal humerus. []"}
{"STANDARD_NAME":"HP_HIP_SUBLUXATION","SYSTEMATIC_NAME":"M38309","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030043","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030043","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hip subluxation","DESCRIPTION_FULL":"A partial dislocation of the hip joint, whereby the head of the femur is partially displaced from the socket. []"}
{"STANDARD_NAME":"HP_FLEXION_CONTRACTURE_OF_DIGIT","SYSTEMATIC_NAME":"M38310","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030044","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030044","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Flexion contracture of digit","DESCRIPTION_FULL":"A bent (flexed) finger or toe joint that cannot be straightened actively or passively. It is thus a chronic loss of joint motion due to structural changes in muscle, tendons, ligaments, or skin that prevents normal movement of joints. []"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_LATERAL_VENTRICLE","SYSTEMATIC_NAME":"M38311","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030047","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030047","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of lateral ventricle","DESCRIPTION_FULL":"A morphological anomaly of the lateral ventricle. []"}
{"STANDARD_NAME":"HP_COLPOCEPHALY","SYSTEMATIC_NAME":"M38312","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030048","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030048","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Colpocephaly","DESCRIPTION_FULL":"Colpocephaly is an anatomic finding in the brain manifested by occipital horns that are disproportionately enlarged in comparison with other parts of the lateral ventricles. [PMID:4058748]"}
{"STANDARD_NAME":"HP_TIP_TOE_GAIT","SYSTEMATIC_NAME":"M38313","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030051","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030051","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Tip-toe gait","DESCRIPTION_FULL":"An abnormal gait pattern characterized by the failure of the heel to contact the floor at the onset of stance during gait. [PMID:24757457]"}
{"STANDARD_NAME":"HP_STIFF_SKIN","SYSTEMATIC_NAME":"M38314","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030053","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030053","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Stiff skin","DESCRIPTION_FULL":"An induration (hardening) of the skin []"}
{"STANDARD_NAME":"HP_UNCOMBABLE_HAIR","SYSTEMATIC_NAME":"M38315","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030056","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030056","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Uncombable hair","DESCRIPTION_FULL":"Hair that is disorderly, stands out from the scalp, and cannot be combed flat. []"}
{"STANDARD_NAME":"HP_AUTOIMMUNE_ANTIBODY_POSITIVITY","SYSTEMATIC_NAME":"M38316","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030057","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030057","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Autoimmune antibody positivity","DESCRIPTION_FULL":"The presence of an antibody in the blood circulation that is directed against the organism's own cells or tissues. []"}
{"STANDARD_NAME":"HP_PRIMITIVE_NEUROECTODERMAL_TUMOR","SYSTEMATIC_NAME":"M38317","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030065","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030065","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Primitive neuroectodermal tumor","DESCRIPTION_FULL":"A tumor that originates in cells from the primitive neural crest. This group of tumors is characteirzed by the presence of primitive cells with elements of neuronal and/or glial differentiation. []"}
{"STANDARD_NAME":"HP_CENTRAL_PRIMITIVE_NEUROECTODERMAL_TUMOR","SYSTEMATIC_NAME":"M41496","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030070","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030070","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Central primitive neuroectodermal tumor","DESCRIPTION_FULL":"A primitive neuroectodermal neoplasm that occurs in the central nervous system. []"}
{"STANDARD_NAME":"HP_BURKITT_LYMPHOMA","SYSTEMATIC_NAME":"M38318","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030080","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030080","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Burkitt lymphoma","DESCRIPTION_FULL":"A form of undifferentiated malignant lymphoma commonly manifested as a large osteolytic lesion in the jaw or as an abdominal mass. []"}
{"STANDARD_NAME":"HP_ABNORMAL_DRINKING_BEHAVIOR","SYSTEMATIC_NAME":"M38319","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030082","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030082","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal drinking behavior","DESCRIPTION_FULL":"Abnormal consumption of fluids with excessive or insufficient consumption of fluid or any other abnormal pattern of fluid consumption. []"}
{"STANDARD_NAME":"HP_CLINODACTYLY","SYSTEMATIC_NAME":"M38320","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030084","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030084","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Clinodactyly","DESCRIPTION_FULL":"An angulation of a digit at an interphalangeal joint in the plane of the palm (finger) or sole (toe). [PMID:16252026]"}
{"STANDARD_NAME":"HP_INCREASED_SERUM_TESTOSTERONE_LEVEL","SYSTEMATIC_NAME":"M38321","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030088","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030088","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased serum testosterone level","DESCRIPTION_FULL":"An elevated circulating testosterone level in the blood. []"}
{"STANDARD_NAME":"HP_ABNORMAL_MUSCLE_FIBER_PROTEIN_EXPRESSION","SYSTEMATIC_NAME":"M38322","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030089","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030089","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal muscle fiber protein expression","DESCRIPTION_FULL":"An anomalous amount of protein present in or on the surface of muscle fibers. This feature may be appreciate upon immunohistochemical investigation of muscle biopsy tissue. []"}
{"STANDARD_NAME":"HP_ABNORMAL_MUSCLE_FIBER_ALPHA_DYSTROGLYCAN","SYSTEMATIC_NAME":"M38323","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030112","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030112","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal muscle fiber alpha dystroglycan","DESCRIPTION_FULL":"A deviation from normal of muscle alpha-dystroglcan expression. Alpha-dystroglycan is a heavily glycosylated peripheral-membrane component of the dystrophin-associated glycoprotein complex (DAPC), which, in addition to laminin alpha2, binds perlecan and agrin in the extracellular matrix, whereas beta-dystroglycan, derived from the same gene, is a transmembrane protein that links to dystrophin intracellularly. []"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_ENDOMETRIUM","SYSTEMATIC_NAME":"M38324","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030126","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030126","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the endometrium","DESCRIPTION_FULL":"An anomaly of the inner mucous membrane of the uterus. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PROLONGED_BLEEDING_FOLLOWING_CIRCUMCISION","SYSTEMATIC_NAME":"M38325","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030137","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030137","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Prolonged bleeding following circumcision","DESCRIPTION_FULL":"Bleeding that persists for a longer than usual time following circumcision. []"}
{"STANDARD_NAME":"HP_ORAL_CAVITY_BLEEDING","SYSTEMATIC_NAME":"M38326","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030140","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030140","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Oral cavity bleeding","DESCRIPTION_FULL":"Recurrent or excessive bleeding from the mouth. [HPO:cmiller]"}
{"STANDARD_NAME":"HP_ABNORMAL_BOWEL_SOUNDS","SYSTEMATIC_NAME":"M38327","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030142","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030142","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal bowel sounds","DESCRIPTION_FULL":"An anomaly of the amount or nature of abdominal sounds. Abdominal sounds (bowel sounds) are made by the movement of the intestines as they promote passage of abdominal contents by peristalsis. []"}
{"STANDARD_NAME":"HP_ABNORMAL_LIVER_PARENCHYMA_MORPHOLOGY","SYSTEMATIC_NAME":"M38328","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030146","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030146","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal liver parenchyma morphology","DESCRIPTION_FULL":"A structural anomaly of the liver located predominantly in the hepatocytes as opposed to stromal cells. [HPO:probinson, PMID:11157536]"}
{"STANDARD_NAME":"HP_TRUNCAL_TITUBATION","SYSTEMATIC_NAME":"M41497","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030147","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030147","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Truncal titubation","DESCRIPTION_FULL":"Tremor of the trunk in an anterior-posterior plane at 3-4 Hz. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CHOLANGITIS","SYSTEMATIC_NAME":"M38329","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030151","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030151","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cholangitis","DESCRIPTION_FULL":"Inflammation of the biliary ductal system, affecting the intrahepatic or extrahepatic portions, or both. [HPO:probinson, PMID:21994886]"}
{"STANDARD_NAME":"HP_CHOLANGIOCARCINOMA","SYSTEMATIC_NAME":"M41498","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030153","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030153","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cholangiocarcinoma","DESCRIPTION_FULL":"Cholangiocarcinoma is a primary cancer originating in the biliary epithelium i.e., the cholangiocytes, of the extrahepatic and intrahepatic biliary ducts. It is extremely invasive, develops rapidly, often metastasizes, and has a very poor prognosis. They are slow growing tumors which spread longitudinally along the bile ducts with neural, perineural and subepithelial extension. [HPO:probinson, PMID:18536057, PMID:8268770]"}
{"STANDARD_NAME":"HP_FLANK_PAIN","SYSTEMATIC_NAME":"M38330","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030157","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030157","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Flank pain","DESCRIPTION_FULL":"An unpleasant sensation characterized by physical discomfort (such as pricking, throbbing, or aching) and perceived to originate in the flank. []"}
{"STANDARD_NAME":"HP_ABNORMAL_VASCULAR_PHYSIOLOGY","SYSTEMATIC_NAME":"M38331","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030163","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030163","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal vascular physiology","DESCRIPTION_FULL":"Abnormality of vascular function. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NIGHT_SWEATS","SYSTEMATIC_NAME":"M38332","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030166","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030166","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Night sweats","DESCRIPTION_FULL":"Occurence of excessive sweating during sleep. [HPO:probinson, PMID:23136329]"}
{"STANDARD_NAME":"HP_PERIPHERAL_HYPERMYELINATION","SYSTEMATIC_NAME":"M38333","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030173","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030173","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Peripheral hypermyelination","DESCRIPTION_FULL":"Increased amount of peripheral myelination. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_PERIPHERAL_NERVOUS_SYSTEM_ELECTROPHYSIOLOGY","SYSTEMATIC_NAME":"M38334","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030177","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030177","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of peripheral nervous system electrophysiology","DESCRIPTION_FULL":"An abnormality of the function of the electrical signals with which peripheral nerve cells communicate with each other or with muscles. []"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_CENTRAL_NERVOUS_SYSTEM_ELECTROPHYSIOLOGY","SYSTEMATIC_NAME":"M38335","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030178","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030178","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of central nervous system electrophysiology"}
{"STANDARD_NAME":"HP_TETRAPLEGIA_TETRAPARESIS","SYSTEMATIC_NAME":"M38336","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030182","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030182","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Tetraplegia/tetraparesis","DESCRIPTION_FULL":"Loss of strength in all four limbs. Tetraplegia refers to a complete loss of strength, whereas Tetraparesis refers to an incomplete loss of strength. []"}
{"STANDARD_NAME":"HP_KINETIC_TREMOR","SYSTEMATIC_NAME":"M38337","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030186","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030186","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Kinetic tremor","DESCRIPTION_FULL":"Tremor that occurs during any voluntary movement. It may include visually or non-visually guided movements. Tremor during target directed movement is called intention tremor. []"}
{"STANDARD_NAME":"HP_TITUBATION","SYSTEMATIC_NAME":"M38338","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030187","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030187","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Titubation","DESCRIPTION_FULL":"Nodding movement of the head or body. [HPO:probinson, PMID:4821687]"}
{"STANDARD_NAME":"HP_TREMOR_BY_ANATOMICAL_SITE","SYSTEMATIC_NAME":"M38339","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030188","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030188","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Tremor by anatomical site","DESCRIPTION_FULL":"Tremor classified by the affected body part. [HPO:probinson]"}
{"STANDARD_NAME":"HP_FATIGABLE_WEAKNESS_OF_BULBAR_MUSCLES","SYSTEMATIC_NAME":"M38340","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030192","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030192","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Fatigable weakness of bulbar muscles","DESCRIPTION_FULL":"A type of weakness of the bulbar muscles (muscles of the mouth and throat responsible for speech and swallowing) that occurs after a muscle group is used and lessens if the muscle group has some rest. That is, there is diminution of strength with repetitive muscle actions. [HPO:probinson, PMID:17986328, UNCL:mbertoli]"}
{"STANDARD_NAME":"HP_FATIGABLE_WEAKNESS_OF_SWALLOWING_MUSCLES","SYSTEMATIC_NAME":"M38341","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030195","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030195","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Fatigable weakness of swallowing muscles","DESCRIPTION_FULL":"A type of weakness of the muscles involved in swallowing that occurs after a muscle group is used and lessens if the muscle group has some rest. That is, there is diminution of strength with repetitive muscle actions. [PMID:17986328, UK:rheller]"}
{"STANDARD_NAME":"HP_FATIGABLE_WEAKNESS_OF_RESPIRATORY_MUSCLES","SYSTEMATIC_NAME":"M38342","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030196","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030196","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Fatigable weakness of respiratory muscles","DESCRIPTION_FULL":"A type of weakness of the muscles involved in breathing (respiration) that occurs after a muscle group is used and lessens if the muscle group has some rest. That is, there is diminution of strength with repetitive muscle actions. [UNCL:mbertoli]"}
{"STANDARD_NAME":"HP_FATIGABLE_WEAKNESS_OF_SKELETAL_MUSCLES","SYSTEMATIC_NAME":"M38343","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030197","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030197","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Fatigable weakness of skeletal muscles","DESCRIPTION_FULL":"A type of weakness of skeletal muscle that occurs after a muscle group is used and lessens if the muscle group has some rest. That is, there is diminution of strength with repetitive muscle actions. []"}
{"STANDARD_NAME":"HP_FATIGABLE_WEAKNESS_OF_DISTAL_LIMB_MUSCLES","SYSTEMATIC_NAME":"M38344","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030198","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030198","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Fatigable weakness of distal limb muscles","DESCRIPTION_FULL":"A type of weakness of a skeletal muscle of distal part of a limb that occurs after a muscle group is used and lessens if the muscle group has some rest. That is, there is diminution of strength with repetitive muscle actions. [UK:rheller]"}
{"STANDARD_NAME":"HP_FATIGUABLE_WEAKNESS_OF_PROXIMAL_LIMB_MUSCLES","SYSTEMATIC_NAME":"M38345","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030200","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030200","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Fatiguable weakness of proximal limb muscles","DESCRIPTION_FULL":"A type of weakness of a skeletal muscle of proximal part of a limb that occurs after a muscle group is used and lessens if the muscle group has some rest. That is, there is diminution of strength with repetitive muscle actions. [UK:rheller]"}
{"STANDARD_NAME":"HP_RESPONSE_TO_DRUGS_ACTING_ON_NEUROMUSCULAR_TRANSMISSION","SYSTEMATIC_NAME":"M38346","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030201","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030201","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Response to drugs acting on neuromuscular transmission","DESCRIPTION_FULL":"Specific drugs interfere selectively with the different cellular mechanisms involved in neuromuscular transmission (synthesis, storage, release, action and inactivation of transmitter). The response of a patient to a specific drug can therefore be useful information for the differential diagnosis. [UK:rheller]"}
{"STANDARD_NAME":"HP_SLOW_PUPILLARY_LIGHT_RESPONSE","SYSTEMATIC_NAME":"M41499","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030211","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030211","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Slow pupillary light response","DESCRIPTION_FULL":"Reduced velocity and acceleration in the pupillary light response. [PMID:974056, UNCL:tevangelista]"}
{"STANDARD_NAME":"HP_COLLECTIONISM","SYSTEMATIC_NAME":"M38347","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030212","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030212","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Collectionism","DESCRIPTION_FULL":"Excessive or pathological tendency to save and collect possessions. []"}
{"STANDARD_NAME":"HP_INAPPROPRIATE_CRYING","SYSTEMATIC_NAME":"M38348","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030215","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030215","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Inappropriate crying","DESCRIPTION_FULL":"Uncontrolled episodes of crying, without apparent motivating stimuli. [ICM:PCaroppo]"}
{"STANDARD_NAME":"HP_VISUAL_AGNOSIA","SYSTEMATIC_NAME":"M41500","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030222","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030222","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Visual agnosia","DESCRIPTION_FULL":"Difficulty in recognizing objects by visual input in absence of sensorial visual impairment. [ICM:PCaroppo]"}
{"STANDARD_NAME":"HP_PERSEVERATION","SYSTEMATIC_NAME":"M38349","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030223","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030223","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Perseveration","DESCRIPTION_FULL":"Perseveration can be defined as the contextually inappropriate and unintentional repetition of a response or behavioral unit. In other words, the observed repetitiveness does not meet the demands of the situation, is not the product of deliberation, and may even unfold despite counterintention. Perseveration can therefore be differentiated from goal-directed and intentional forms of repetition, such as linguistic redundancies designed to enhance communicative or poetic impact. [HPO:probinson, PMID:9050113]"}
{"STANDARD_NAME":"HP_HIGHLY_ELEVATED_CREATINE_KINASE","SYSTEMATIC_NAME":"M41501","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030234","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030234","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Highly elevated creatine kinase","DESCRIPTION_FULL":"An increased CPK level between 4X and 50X above the upper normal level. [Neuromics:vstraub]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_MUSCLE_SIZE","SYSTEMATIC_NAME":"M38350","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030236","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030236","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of muscle size","DESCRIPTION_FULL":"Abnormalities of the overall muscle bulk based on clinical observation. [Neuromics:vstraub]"}
{"STANDARD_NAME":"HP_HAND_MUSCLE_WEAKNESS","SYSTEMATIC_NAME":"M38351","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030237","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030237","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hand muscle weakness","DESCRIPTION_FULL":"Reduced strength of the musculature of the hand. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PORTAL_VEIN_THROMBOSIS","SYSTEMATIC_NAME":"M38352","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030242","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030242","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Portal vein thrombosis","DESCRIPTION_FULL":"Thrombosis of the portal vein and/or its tributaries, which include the splenic vein and the superior and inferior mesenteric veins. [HPO:probinson, PMID:21960890]"}
{"STANDARD_NAME":"HP_SPLANCHNIC_VEIN_THROMBOSIS","SYSTEMATIC_NAME":"M38353","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030247","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030247","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Splanchnic vein thrombosis","DESCRIPTION_FULL":"The term splanchnic vein thrombosis encompasses Budd-Chiari syndrome (hepatic vein thrombosis), extrahepatic portal vein obstruction (EHPVO), and mesenteric vein thrombosis; the word splanchnic is used to refer to the visceral organs (of the abdominal cavity). [HPO:probinson, PMID:20532730]"}
{"STANDARD_NAME":"HP_DEFECTIVE_T_CELL_PROLIFERATION","SYSTEMATIC_NAME":"M41502","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030253","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030253","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Defective T cell proliferation","DESCRIPTION_FULL":"A reduced ability of a T cell population to expand by cell division following T cell activation. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LARGE_INTESTINAL_POLYPOSIS","SYSTEMATIC_NAME":"M38354","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030255","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030255","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Large intestinal polyposis","DESCRIPTION_FULL":"The presence of multiple polyps in the large intestine. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MICROPHALLUS","SYSTEMATIC_NAME":"M38355","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030260","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030260","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Microphallus","DESCRIPTION_FULL":"Length of penis more than 2 SD below the mean for age accompanied by hypospadias. [HPO:probinson, PMID:23650202]"}
{"STANDARD_NAME":"HP_HYPERPLASTIC_CALLUS_FORMATION","SYSTEMATIC_NAME":"M41503","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030268","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030268","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hyperplastic callus formation","DESCRIPTION_FULL":"Increased growth of callus, the bony and cartilaginous material that forms a connecting bridge across a bone fracture during fracture healing. [HPO:probinson, PMID:12913845, PMID:17451374]"}
{"STANDARD_NAME":"HP_ELEVATED_RED_CELL_ADENOSINE_DEAMINASE_LEVEL","SYSTEMATIC_NAME":"M41504","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030270","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030270","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Elevated red cell adenosine deaminase level","DESCRIPTION_FULL":"Increase in the level of adenosine deaminase (ADA), an enzyme involved in purine metabolism, within erythrocytes. ADA is involved in the catabolism of adenosine. [HPO:probinson, PMID:3348976]"}
{"STANDARD_NAME":"HP_ABNORMAL_ERYTHROCYTE_ENZYME_LEVEL","SYSTEMATIC_NAME":"M38356","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030272","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030272","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal erythrocyte enzyme level","DESCRIPTION_FULL":"An altered level of any enzyme to act as catalysts within erythrocytes. This term includes changes due to altered activity of an enzyme. []"}
{"STANDARD_NAME":"HP_SMALL_SCROTUM","SYSTEMATIC_NAME":"M41505","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030276","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030276","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Small scrotum","DESCRIPTION_FULL":"Apparently small scrotum for age. [PMID:23650202]"}
{"STANDARD_NAME":"HP_LOWER_LIMB_METAPHYSEAL_IRREGULARITY","SYSTEMATIC_NAME":"M38357","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030291","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030291","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Lower-limb metaphyseal irregularity","DESCRIPTION_FULL":"Irregularity of the normally smooth surface of one or more metaphyses of a bone of the leg. [HPO:probinson]"}
{"STANDARD_NAME":"HP_UPPER_EXTREMITY_JOINT_DISLOCATION","SYSTEMATIC_NAME":"M38358","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030310","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030310","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Upper extremity joint dislocation","DESCRIPTION_FULL":"Displacement or malalignment of one or more joints in the upper extremity (arm). [HPO:probinson]"}
{"STANDARD_NAME":"HP_LOWER_EXTREMITY_JOINT_DISLOCATION","SYSTEMATIC_NAME":"M38359","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030311","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030311","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Lower extremity joint dislocation","DESCRIPTION_FULL":"Displacement or malalignment of one or more joints in the lower extremity (leg). [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_PERIOSTEUM_MORPHOLOGY","SYSTEMATIC_NAME":"M41506","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030313","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030313","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal periosteum morphology","DESCRIPTION_FULL":"An anomalous structure of the periosteum, i.e., of the membrane that covers the outer surface of bones. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ANGULAR_CHEILITIS","SYSTEMATIC_NAME":"M41507","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030318","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030318","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Angular cheilitis","DESCRIPTION_FULL":"A type of inflammation of the lips involving one or both of the corners of the mouth. [HPO:probinson]"}
{"STANDARD_NAME":"HP_WEAKNESS_OF_FACIAL_MUSCULATURE","SYSTEMATIC_NAME":"M38360","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030319","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030319","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Weakness of facial musculature","DESCRIPTION_FULL":"Reduced strength of one or more muscles innervated by the facial nerve (the seventh cranial nerve). [HPO:probinson]"}
{"STANDARD_NAME":"HP_RETINAL_THINNING","SYSTEMATIC_NAME":"M38361","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030329","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030329","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Retinal thinning","DESCRIPTION_FULL":"Reduced anteroposterior thickness of the retina. This phenotype can be appreciated by retinal optical coherence tomography (OCT). [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_CIRCULATING_GONADOTROPIN_LEVEL","SYSTEMATIC_NAME":"M38362","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030338","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030338","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal circulating gonadotropin level","DESCRIPTION_FULL":"An anomaly of the circulating level of a gonadotropin, that is, of a protein hormone secreted by gonadotrope cells of the anterior pituitary of vertebrates. The primary gonadotropins are luteinizing hormone (LH) and follicle-stimulating hormone (FSH). [HPO:probinson]"}
{"STANDARD_NAME":"HP_DECREASED_CIRCULATING_GONADOTROPIN_LEVEL","SYSTEMATIC_NAME":"M38363","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030339","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030339","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased circulating gonadotropin level","DESCRIPTION_FULL":"A reduction of the circulating level of a gonadotropin, that is, of a protein hormone secreted by gonadotrope cells of the anterior pituitary of vertebrates. The primary gonadotropins are luteinizing hormone (LH) and follicle-stimulating hormone (FSH). [HPO:probinson]"}
{"STANDARD_NAME":"HP_DECREASED_CIRCULATING_LUTEINIZING_HORMONE_LEVEL","SYSTEMATIC_NAME":"M38364","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030344","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030344","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased circulating luteinizing hormone level","DESCRIPTION_FULL":"A reduction in the circulating level of luteinizing hormone (LH). [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_CIRCULATING_FOLLICLE_STIMULATING_HORMONE_LEVEL","SYSTEMATIC_NAME":"M38365","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030346","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030346","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal circulating follicle-stimulating hormone level","DESCRIPTION_FULL":"An anomaly of the circulating level of follicle-stimulating hormone (FSH). [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_CIRCULATING_ANDROGEN_LEVEL","SYSTEMATIC_NAME":"M38366","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030347","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030347","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal circulating androgen level","DESCRIPTION_FULL":"An anomaly in the blood concentration of an androgen, that is, of a steroid hormone that controls development and maintenance of masculine characteristics. The androgens include testosterone and Dehydroepiandrosterone. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INCREASED_CIRCULATING_ANDROGEN_LEVEL","SYSTEMATIC_NAME":"M38367","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030348","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030348","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased circulating androgen level","DESCRIPTION_FULL":"An elevation of the blood concentration of an androgen, that is, of a steroid hormone that controls development and maintenance of masculine characteristics. The androgens include testosterone and Dehydroepiandrosterone. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DECREASED_CIRCULATING_ANDROGEN_LEVEL","SYSTEMATIC_NAME":"M41508","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030349","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030349","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased circulating androgen level","DESCRIPTION_FULL":"A reduction in the blood concentration of an androgen, that is, of a steroid hormone that controls development and maintenance of masculine characteristics. The androgens include testosterone and Dehydroepiandrosterone. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_SERUM_INSULIN_LIKE_GROWTH_FACTOR_1_LEVEL","SYSTEMATIC_NAME":"M38368","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030352","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030352","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal serum insulin-like growth factor 1 level","DESCRIPTION_FULL":"An anomalous level of insulin-like growth factor 1 (IGF1) in the blood circulation. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DECREASED_SERUM_INSULIN_LIKE_GROWTH_FACTOR_1","SYSTEMATIC_NAME":"M38369","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030353","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030353","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased serum insulin-like growth factor 1","DESCRIPTION_FULL":"A reduced level of insulin-like growth factor 1 (IGF1) in the blood circulation. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_SERUM_INTERFERON_LEVEL","SYSTEMATIC_NAME":"M38370","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030354","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030354","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal serum interferon level","DESCRIPTION_FULL":"Abnormal levels of interferon in the blood. [PMID:28487810]"}
{"STANDARD_NAME":"HP_ABNORMAL_PROPORTION_OF_CLASS_SWITCHED_MEMORY_B_CELLS","SYSTEMATIC_NAME":"M41509","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030386","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030386","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal proportion of class-switched memory B cells","DESCRIPTION_FULL":"A deviation of the normal proportion of class-switched memory B cells (CD19+/CD27+/IgM-/IgD-) in circulation relative to the total number of B cells. Marginal zone B cells undergo limited somatic hypermutation and produce high-affinity IgM and some IgG, whereas class-switched memory B cells synthetize IgG, IgM, and IgA. [HPO:probinson, PMID:19342988]"}
{"STANDARD_NAME":"HP_SPOKEN_WORD_RECOGNITION_DEFICIT","SYSTEMATIC_NAME":"M41510","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030391","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030391","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Spoken Word Recognition Deficit","DESCRIPTION_FULL":"Reduced ability of lexical discrimination, which refers to the process of distinguishing a stimulus word from other phonologically similar words. Lexical discrimination can be defined as the process of correctly identifying words in the mental lexicon to match the phonological input of a stimulus. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CHOROID_PLEXUS_CARCINOMA","SYSTEMATIC_NAME":"M41511","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030392","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030392","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Choroid plexus carcinoma","DESCRIPTION_FULL":"Intraventricular papillary neoplasm derived from choroid plexus epithelium. Plexus tumors are most common in the lateral and fourth ventricles; while 80% of lateral ventricle tumors present in children, fourth ventricle tumors are evenly distributed in all age groups. Clinically, choroid plexus tumors tend to cause hydrocephalus and increased intracranial pressure. Histologically, choroid plexus papillomas correspond to WHO grade I, choroid plexus carcinomas to WHO grade III. [HPO:probinson, PMID:11135453]"}
{"STANDARD_NAME":"HP_ABNORMAL_PLATELET_AGGREGATION","SYSTEMATIC_NAME":"M38371","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030402","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030402","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal platelet aggregation","DESCRIPTION_FULL":"An abnormality in the rate and degree to which platelets aggregate after the addition of an agonist that stimulates platelet clumping. Platelet aggregation is measured using aggregometer to measure the optical density of platelet-rich plasma, whereby platelet aggregation causes the plasma to become more transparent. [HPO:probinson]"}
{"STANDARD_NAME":"HP_GLUCAGONOMA","SYSTEMATIC_NAME":"M38372","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030404","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030404","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Glucagonoma","DESCRIPTION_FULL":"An endocrine tumor of the pancreas that secretes excessive amounts of glucagon. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PANCREATIC_ENDOCRINE_TUMOR","SYSTEMATIC_NAME":"M38373","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030405","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030405","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pancreatic endocrine tumor","DESCRIPTION_FULL":"A neuroendocrine tumor originating in a hormone-producing cell (islet cell) of the pancreas. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PRIMARY_PERITONEAL_CARCINOMA","SYSTEMATIC_NAME":"M38374","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030406","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030406","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Primary peritoneal carcinoma","DESCRIPTION_FULL":"A type of cancer that originates in the peritoneum. It is to be distinguished from metastatic cancer of the peritoneum. Peritoneal cancer can occur anywhere in the abdominal space, and affects the surface of organs contained inside the peritoneum. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NEUROMA","SYSTEMATIC_NAME":"M41512","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030430","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030430","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neuroma","DESCRIPTION_FULL":"A tumor made up of nerve cells and nerve fibers. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PILOMATRIXOMA","SYSTEMATIC_NAME":"M41513","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030434","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030434","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pilomatrixoma","DESCRIPTION_FULL":"Pilomatricoma is an asymptomatic slowly growing benign cutaneous tumor, differentiating towards the hair matrix of the hair follicle. It is covered by normal or hyperemic skin, and usually varies in size from 0.5 to 3 cm. [HPO:probinson, PMID:21430899]"}
{"STANDARD_NAME":"HP_PULMONARY_CARCINOID_TUMOR","SYSTEMATIC_NAME":"M38375","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030445","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030445","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pulmonary carcinoid tumor","DESCRIPTION_FULL":"A malignant neuroendocrine tumor of the lung. According to histopathologic criteria (WHO 2004), carcinoids are divided into four groups i.e. typical and atypical carcinoids, large cell neuroendocrine carcinoma and small cell lung carcinoma. [HPO:probinson, PMID:21043816, PMID:24179657]"}
{"STANDARD_NAME":"HP_SOFT_TISSUE_SARCOMA","SYSTEMATIC_NAME":"M38376","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030448","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030448","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Soft tissue sarcoma","DESCRIPTION_FULL":"A type of sarcoma (A connective tissue neoplasm formed by proliferation of mesodermal cells) that develops from soft tissues like fat, muscle, nerves, fibrous tissues, blood vessels, or deep skin tissues. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_VISUAL_ELECTROPHYSIOLOGY","SYSTEMATIC_NAME":"M38377","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030453","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030453","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal visual electrophysiology"}
{"STANDARD_NAME":"HP_ABNORMAL_FULL_FIELD_ELECTRORETINOGRAM","SYSTEMATIC_NAME":"M38378","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030466","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030466","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal full-field electroretinogram"}
{"STANDARD_NAME":"HP_ABNORMAL_DARK_ADAPTED_ELECTRORETINOGRAM","SYSTEMATIC_NAME":"M41514","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030469","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030469","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal dark-adapted electroretinogram"}
{"STANDARD_NAME":"HP_REDUCED_AMPLITUDE_OF_DARK_ADAPTED_BRIGHT_FLASH_ELECTRORETINOGRAM_A_WAVE","SYSTEMATIC_NAME":"M41515","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030483","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030483","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Reduced amplitude of dark-adapted bright flash electroretinogram a-wave","DESCRIPTION_FULL":"An abnormal reduction in the amplitude of the a-wave. []"}
{"STANDARD_NAME":"HP_EXUDATIVE_VITREORETINOPATHY","SYSTEMATIC_NAME":"M38379","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030490","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030490","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Exudative vitreoretinopathy"}
{"STANDARD_NAME":"HP_CHORIOCAPILLARIS_ATROPHY","SYSTEMATIC_NAME":"M38380","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030491","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030491","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Choriocapillaris atrophy","DESCRIPTION_FULL":"Atrophy of the capillary lamina of choroid. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_FOVEAL_PIGMENTATION","SYSTEMATIC_NAME":"M38381","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030493","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030493","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of foveal pigmentation","DESCRIPTION_FULL":"An anomaly of the pigmentation in the fovea centralis. []"}
{"STANDARD_NAME":"HP_MACULAR_THICKENING","SYSTEMATIC_NAME":"M38382","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030498","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030498","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Macular thickening","DESCRIPTION_FULL":"Abnormal increase in retinal thickness in the macular area observed on fundoscopy or fundus imaging. [ORCID:0000-0003-0986-4123]"}
{"STANDARD_NAME":"HP_YELLOW_WHITE_LESIONS_OF_THE_MACULA","SYSTEMATIC_NAME":"M38383","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030500","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030500","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Yellow/white lesions of the macula"}
{"STANDARD_NAME":"HP_RETINOSCHISIS","SYSTEMATIC_NAME":"M38384","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030502","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030502","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Retinoschisis","DESCRIPTION_FULL":"Splitting of the neuroretinal layers of the retina. [HPO:probinson]"}
{"STANDARD_NAME":"HP_YELLOW_WHITE_LESIONS_OF_THE_RETINA","SYSTEMATIC_NAME":"M38385","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030506","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030506","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Yellow/white lesions of the retina"}
{"STANDARD_NAME":"HP_MODERATELY_REDUCED_VISUAL_ACUITY","SYSTEMATIC_NAME":"M38386","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030515","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030515","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Moderately reduced visual acuity","DESCRIPTION_FULL":"Moderate reduction of the ability to see defined as visual acuity less than 6/18 (20/60 in US notation; 0.5 in decimal notation) but at least 6/60 (20/200 in US notation; 0.1 in decimal notation). [ORCID:0000-0001-5208-3432, PMID:28779882]"}
{"STANDARD_NAME":"HP_HETERONYMOUS_HEMIANOPIA","SYSTEMATIC_NAME":"M38387","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030517","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030517","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Heteronymous hemianopia"}
{"STANDARD_NAME":"HP_VISUAL_ACUITY_TEST_ABNORMALITY","SYSTEMATIC_NAME":"M38388","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030532","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030532","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Visual acuity test abnormality"}
{"STANDARD_NAME":"HP_COLOR_VISION_TEST_ABNORMALITY","SYSTEMATIC_NAME":"M41516","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030584","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030584","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Color vision test abnormality"}
{"STANDARD_NAME":"HP_ABNORMAL_VISUAL_FIELD_TEST","SYSTEMATIC_NAME":"M38389","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030588","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030588","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal visual field test","DESCRIPTION_FULL":"Abnormal result of a test designed to test an individual's central and peripheral vision by determining the ability of the individual to perceive objects at differing locations of the visual field. []"}
{"STANDARD_NAME":"HP_ABNORMAL_POSTERIOR_SEGMENT_IMAGING","SYSTEMATIC_NAME":"M38390","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030601","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030601","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal posterior segment imaging"}
{"STANDARD_NAME":"HP_ABNORMAL_FUNDUS_AUTOFLUORESCENCE_IMAGING","SYSTEMATIC_NAME":"M38391","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030602","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030602","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal fundus autofluorescence imaging","DESCRIPTION_FULL":"Fundus autofluorescence (FAF) is a non-invasive retinal imaging modality used in clinical practice to provide a density map of lipofuscin, the predominant ocular fluorophore, in the retinal pigment epithelium. Autofluorescent patterns result from the complex interaction of fluorophores such a lipofuscin, which release an autofluorescent signal, and elements such as melanin and rhodopsin, which absorb the excitation beam and attenuate autofluorescence. Other structures such as retinal vessels and the crystalline lens may also influence autofluorescence through blocking and interference. [PMID:27847630]"}
{"STANDARD_NAME":"HP_ABNORMAL_OPTICAL_COHERENCE_TOMOGRAPHY","SYSTEMATIC_NAME":"M38392","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030603","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030603","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal optical coherence tomography"}
{"STANDARD_NAME":"HP_PERIFOVEAL_RING_OF_HYPERAUTOFLUORESCENCE","SYSTEMATIC_NAME":"M38393","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030629","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030629","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Perifoveal ring of hyperautofluorescence"}
{"STANDARD_NAME":"HP_RETINAL_NEOVASCULARIZATION","SYSTEMATIC_NAME":"M38394","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030666","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030666","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Retinal neovascularization","DESCRIPTION_FULL":"In wound repair, neovascularization (NV) involves the sprouting of new vessels from pre-existent vessels to repair or replace damaged vessels. In the retina, NV is a response to ischemia. The NV adheres to the inner surface of the retina and outer surface of the vitreous. NV are deficient in tight junctions and hence leak plasma into surrounding tissue including the vitreous. Plasma causes the vitreous gel to degenerate, contract, and eventually collapse which pulls on the retina. Since retinal NV is adherent to both retina and vitreous, as the vitreous contracts the NV may be sheared resulting in vitreous hemorrhage or the NV may remain intact and pull the retina with the vitreous resulting in retinal elevation referred to as traction retinal detachment. [PMID:23329331]"}
{"STANDARD_NAME":"HP_ANTENATAL_ONSET","SYSTEMATIC_NAME":"M41517","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030674","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030674","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Antenatal onset","DESCRIPTION_FULL":"Onset prior to birth. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_MORPHOLOGY_OF_MYOCARDIAL_TRABECULAE","SYSTEMATIC_NAME":"M38395","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030681","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030681","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal morphology of myocardial trabeculae","DESCRIPTION_FULL":"Any structural anomaly of the muscular columns which project from the inner surface of the right and left ventricles of the heart (cardiac trabeculae, trabeculae carneae). []"}
{"STANDARD_NAME":"HP_BRAIN_NEOPLASM","SYSTEMATIC_NAME":"M38396","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030692","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030692","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Brain neoplasm","DESCRIPTION_FULL":"A benign or malignant neoplasm that arises from or metastasizes to the brain. []"}
{"STANDARD_NAME":"HP_CENTRAL_NERVOUS_SYSTEM_CYST","SYSTEMATIC_NAME":"M41518","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030724","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030724","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Central nervous system cyst","DESCRIPTION_FULL":"A fluid-filled sac (cyst) located within the central nervous system. [HPO:probinson, PMID:11593239, PMID:24455569]"}
{"STANDARD_NAME":"HP_CARCINOMA","SYSTEMATIC_NAME":"M41519","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030731","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030731","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Carcinoma","DESCRIPTION_FULL":"A malignant tumor arising from epithelial cells. Carcinomas that arise from glandular epithelium are called adenocarcinomas, those that arise from squamous epithelium are called squamous cell carcinomas, and those that arise from transitional epithelium are called transitional cell carcinomas (NCI Thesaurus). [HPO:probinson]"}
{"STANDARD_NAME":"HP_SACROCOCCYGEAL_TERATOMA","SYSTEMATIC_NAME":"M38397","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030736","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030736","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Sacrococcygeal teratoma","DESCRIPTION_FULL":"A teratoma arising in the sacro-coccygeal region. [UToronto:chum]"}
{"STANDARD_NAME":"HP_INTRAVENTRICULAR_HEMORRHAGE","SYSTEMATIC_NAME":"M41520","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030746","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030746","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Intraventricular hemorrhage","DESCRIPTION_FULL":"Bleeding into the ventricles of the brain. [UToronto:chum]"}
{"STANDARD_NAME":"HP_TOOTH_ABSCESS","SYSTEMATIC_NAME":"M41521","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030757","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030757","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Tooth abscess","DESCRIPTION_FULL":"A pocket of pus located within a region of a tooth. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RENAL_FIBROSIS","SYSTEMATIC_NAME":"M38398","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030760","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030760","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Renal fibrosis","DESCRIPTION_FULL":"Renal fibrosis is the consequence of an excessive accumulation of extracellular matrix that occurs in virtually every type of chronic kidney disease. [HPO:probinson, PMID:16408108]"}
{"STANDARD_NAME":"HP_EAR_PAIN","SYSTEMATIC_NAME":"M41522","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030766","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030766","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ear pain","DESCRIPTION_FULL":"Pain in the ear can be a consequence of otologic disease (primary or otogenic otalgia), or can arise from pathologic processes and structures other than the ear (secondary or referred otalgia). [PMID:20736106]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_PROTEIN_C_ANTICOAGULANT_PATHWAY","SYSTEMATIC_NAME":"M38399","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030780","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030780","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the protein C anticoagulant pathway","DESCRIPTION_FULL":"An anomaly of the protein C anticoagulant pathway, which serves as a major system for controlling thrombosis, limiting inflammatory responses, and potentially decreasing endothelial cell apoptosis in response to inflammatory cytokines and ischemia. A natural anticoagulant system denoted the protein C pathway exerts its anticoagulant effect by regulating the activity of FVIIIa and FVa. The vitamin K-dependent protein C is the key component of the pathway. Activated protein C (APC) cleaves and inhibits coagulation cofactors FVIIIa and FVa, which result in downregulation of the activity of the coagulation system. The endothelial protein C receptor stimulates the T-TM-mediated activation of protein C on the endothelial cell surface. The two cofactors, protein S and the intact form of FV, enhance the anticoagulant activity of APC. [HPO:probinson, PMID:12970121, PMID:15943976]"}
{"STANDARD_NAME":"HP_ABNORMAL_SERUM_INTERLEUKIN_LEVEL","SYSTEMATIC_NAME":"M38400","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030782","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030782","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal serum interleukin level","DESCRIPTION_FULL":"An abnormal amount of any of the interleukins, a class of cytokines, in the circulation. [HPO:probinson, PMID:28487810]"}
{"STANDARD_NAME":"HP_ANOMIA","SYSTEMATIC_NAME":"M38401","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030784","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030784","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Anomia","DESCRIPTION_FULL":"An inability to name people and objects that are correctly perceived. The individual is able to describe the object in question, but cannot provide the name. [HPO:probinson, PMID:18348092]"}
{"STANDARD_NAME":"HP_PHOTOPSIA","SYSTEMATIC_NAME":"M38402","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030786","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030786","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Photopsia","DESCRIPTION_FULL":"Perceived flashes of light. [HPO:probinson, PMID:10506812]"}
{"STANDARD_NAME":"HP_ABNORMAL_JAW_MORPHOLOGY","SYSTEMATIC_NAME":"M38403","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030791","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030791","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal jaw morphology","DESCRIPTION_FULL":"A structural anomaly of the jaw, the bony structure of the mouth that consists of the mandible and the maxilla. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_C_PEPTIDE_LEVEL","SYSTEMATIC_NAME":"M38404","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030794","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030794","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal C-peptide level","DESCRIPTION_FULL":"An anomolous circulating concentration of the connecting (C) peptide, which links the insulin A and B chains in proinsulin, providing thereby a means to promote their efficient folding and assembly in the endoplasmic reticulum during insulin biosynthesis. After cleavage of proinsulin, C-peptide is stored with insulin in the soluble phase of the secretory granules and is subsequently released in equimolar amounts with insulin, providing a useful independent indicator of insulin secretion. [HPO:probinson, PMID:15198367]"}
{"STANDARD_NAME":"HP_REDUCED_C_PEPTIDE_LEVEL","SYSTEMATIC_NAME":"M41523","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030795","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030795","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Reduced C-peptide level","DESCRIPTION_FULL":"A decreased concentration of C-peptide in the circulation. Since C-peptide is secreted in equimolar amounts to insulin, this feature correlates with reduced insulin secretion. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INCREASED_C_PEPTIDE_LEVEL","SYSTEMATIC_NAME":"M41524","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030796","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030796","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased C-peptide level","DESCRIPTION_FULL":"An elevated concentration of C-peptide in the circulation. Since C-peptide is secreted in equimolar amounts to insulin, this feature correlates with increased insulin secretion. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SCAPHOCEPHALY","SYSTEMATIC_NAME":"M38405","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030799","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030799","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Scaphocephaly","DESCRIPTION_FULL":"Scaphocephaly is a subtype of dolichocephaly where the anterior and posterior aspects of the cranial vault are pointed (boat-shaped). Scaphocephaly is caused by a precocious fusion of sagittal suture without other associated synostosis. [HPO:probinson, PMID:16156241, PMID:23960302]"}
{"STANDARD_NAME":"HP_ABNORMAL_TONGUE_MORPHOLOGY","SYSTEMATIC_NAME":"M38406","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030809","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030809","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal tongue morphology","DESCRIPTION_FULL":"Any structural anomaly of the tongue. []"}
{"STANDARD_NAME":"HP_ABNORMAL_TONGUE_PHYSIOLOGY","SYSTEMATIC_NAME":"M38407","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030810","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030810","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal tongue physiology","DESCRIPTION_FULL":"Any functional anomaly of the tongue. []"}
{"STANDARD_NAME":"HP_ENLARGED_TONSILS","SYSTEMATIC_NAME":"M41525","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030812","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030812","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Enlarged tonsils","DESCRIPTION_FULL":"Increase in size of the tonsils, small collections of lymphoid tissue facing into the aerodigestive tract on either side of the back part of the throat. [HPO:probinson]"}
{"STANDARD_NAME":"HP_GINGIVAL_RECESSION","SYSTEMATIC_NAME":"M38408","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030816","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030816","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Gingival recession","DESCRIPTION_FULL":"The loss of gum tissue. The result is that gum tissue is recessed and its position on the tooth is lowered, exposing the roots of the teeth. []"}
{"STANDARD_NAME":"HP_ABSENT_FOVEAL_REFLEX","SYSTEMATIC_NAME":"M38409","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030825","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030825","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Absent foveal reflex","DESCRIPTION_FULL":"Lack of the foveal reflex, which normally occurs as a result of the reflection of light from the ophthalmoscope in the foveal pit upon examination. The foveal reflex is a bright pinpoint of light that is observed to move sideways or up and down in response to movement of the opthalmoscope. [HPO:probinson, PMID:27491360]"}
{"STANDARD_NAME":"HP_WHEEZING","SYSTEMATIC_NAME":"M38410","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030828","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030828","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Wheezing","DESCRIPTION_FULL":"A high-pitched whistling sound associated with labored breathing. [HPO:probinson, PMID:26229557]"}
{"STANDARD_NAME":"HP_ABNORMAL_BREATH_SOUND","SYSTEMATIC_NAME":"M38411","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030829","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030829","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal breath sound","DESCRIPTION_FULL":"An anomalous (adventitious) sound produced by the breathing process. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CRACKLES","SYSTEMATIC_NAME":"M38412","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030830","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030830","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Crackles","DESCRIPTION_FULL":"Crackles are discontinuous, explosive, and nonmusical adventitious lung sounds normally heard in inspiration and sometimes during expiration. Crackles are usually classified as fine and coarse crackles based on their duration, loudness, pitch, timing in the respiratory cycle, and relationship to coughing and changing body position. [PMID:26229557, UToronto:chum]"}
{"STANDARD_NAME":"HP_SHOULDER_PAIN","SYSTEMATIC_NAME":"M38413","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030834","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030834","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Shoulder pain","DESCRIPTION_FULL":"An unpleasant sensation characterized by physical discomfort (such as pricking, throbbing, or aching) localized to the shoulder. [UToronto:chum]"}
{"STANDARD_NAME":"HP_HIP_PAIN","SYSTEMATIC_NAME":"M38414","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030838","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030838","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hip pain","DESCRIPTION_FULL":"An unpleasant sensation characterized by physical discomfort (such as pricking, throbbing, or aching) localized to the hip. [UToronto:chum]"}
{"STANDARD_NAME":"HP_CHOKING_EPISODES","SYSTEMATIC_NAME":"M38415","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030842","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030842","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Choking episodes","DESCRIPTION_FULL":"Incidents in which a piece of food or other objects get stuck in the upper airway and provoke coughing, gagging, inability to talk, and difficulty breathing. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_VENOUS_PHYSIOLOGY","SYSTEMATIC_NAME":"M38416","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030846","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030846","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of venous physiology","DESCRIPTION_FULL":"An anomaly of venous function. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HETEROTAXY","SYSTEMATIC_NAME":"M38417","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030853","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030853","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Heterotaxy","DESCRIPTION_FULL":"An abnormality in which the internal thoraco-abdominal organs demonstrate abnormal arrangement across the left-right axis of the body. [HPO:probinson, PMID:21731561]"}
{"STANDARD_NAME":"HP_SCLERAL_STAPHYLOMA","SYSTEMATIC_NAME":"M41526","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030854","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030854","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Scleral staphyloma","DESCRIPTION_FULL":"A staphyloma is a localized defect in the eye wall with protrusion of uveal tissue due to alterations in scleral thickness and structure. [HPO:probinson, PMID:22454726]"}
{"STANDARD_NAME":"HP_ADDICTIVE_BEHAVIOR","SYSTEMATIC_NAME":"M38418","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030858","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030858","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Addictive behavior","DESCRIPTION_FULL":"A recurrent pattern of behavior that is characeterized by the failure to resist an impulse, drive, or temptation to perform an act that is harmful to the person or to others. The repetitive engagement in these behaviors ultimately interferes with functioning in other domains. [HPO:probinson, PMID:20560821]"}
{"STANDARD_NAME":"HP_ABNORMAL_CARDIAC_VENTRICULAR_FUNCTION","SYSTEMATIC_NAME":"M38419","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030872","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030872","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal cardiac ventricular function","DESCRIPTION_FULL":"An abnormality of the cardiac ventricular function. [NIHR:ldaugherty]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_PULMONARY_CIRCULATION","SYSTEMATIC_NAME":"M38420","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030875","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030875","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of pulmonary circulation","DESCRIPTION_FULL":"A functional anomaly of that portion of the cardiosvascular system that carries deoxygenated blood from the heart to the lungs and returns oxygenated blood back to the heart. [HPO:probinson]"}
{"STANDARD_NAME":"HP_REDUCED_FEV1_FVC_RATIO","SYSTEMATIC_NAME":"M41527","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030877","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030877","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Reduced FEV1/FVC ratio","DESCRIPTION_FULL":"Abnormally low FEV1/FVC (FEV1 - forced expiratory volume in 1 second; FVC forced vital capacity). [NIHR:ldaugherty, PMID:22347750, PMID:24695507]"}
{"STANDARD_NAME":"HP_ABNORMALITY_ON_PULMONARY_FUNCTION_TESTING","SYSTEMATIC_NAME":"M38421","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030878","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030878","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality on pulmonary function testing","DESCRIPTION_FULL":"Any anomaly measure by pulmonary function testing, which includes spirometry, measures of diffusing capacity, and plethysmography. [HPO:probinson, PMID:22347750, PMID:24695507]"}
{"STANDARD_NAME":"HP_RAYNAUD_PHENOMENON","SYSTEMATIC_NAME":"M38422","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030880","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030880","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Raynaud phenomenon"}
{"STANDARD_NAME":"HP_CORONARY_ARTERY_ANEURYSM","SYSTEMATIC_NAME":"M38423","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030882","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030882","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Coronary artery aneurysm","DESCRIPTION_FULL":"Enlargement of the diameter (cross-section) of a coronary artery as defined by a focal dilation of a segment at least 1.5 times larger than the reference vessel. [HPO:probinson, PMID:28374180]"}
{"STANDARD_NAME":"HP_HYPERINTENSITY_OF_CEREBRAL_WHITE_MATTER_ON_MRI","SYSTEMATIC_NAME":"M38424","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030890","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030890","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hyperintensity of cerebral white matter on MRI","DESCRIPTION_FULL":"A brighter than expected signal on magnetic resonance imaging emanating from the cerebral white matter. [PMID:15576652]"}
{"STANDARD_NAME":"HP_PERIVENTRICULAR_WHITE_MATTER_HYPERDENSITIES","SYSTEMATIC_NAME":"M38425","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030891","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030891","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Periventricular white matter hyperdensities","DESCRIPTION_FULL":"Areas of brighter than expected signal on magnetic resonance imaging emanating from the cerebral white matter that surrounds the cerebral ventricles. [PMID:15576652]"}
{"STANDARD_NAME":"HP_ABNORMAL_PERISTALSIS","SYSTEMATIC_NAME":"M38426","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030914","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030914","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal peristalsis","DESCRIPTION_FULL":"An anomaly of the wave-like muscle contractions of the digestive tract. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LOW_APGAR_SCORE","SYSTEMATIC_NAME":"M41528","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030917","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030917","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Low APGAR score"}
{"STANDARD_NAME":"HP_ELEVATED_GAMMA_GLUTAMYLTRANSFERASE_LEVEL","SYSTEMATIC_NAME":"M41529","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030948","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030948","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Elevated gamma-glutamyltransferase level","DESCRIPTION_FULL":"Increased level of the enzyme gamma-glutamyltransferase (GGT). GGT is mainly present in kidney, liver, and pancreatic cells, but small amounts are present in other tissues. [PMID:26543300]"}
{"STANDARD_NAME":"HP_GLOMERULAR_DEPOSITS","SYSTEMATIC_NAME":"M41530","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030949","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030949","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Glomerular deposits","DESCRIPTION_FULL":"An abnormal accumulation of protein in the glomerulus. []"}
{"STANDARD_NAME":"HP_PULMONARY_VENOUS_HYPERTENSION","SYSTEMATIC_NAME":"M38427","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030950","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030950","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pulmonary venous hypertension","DESCRIPTION_FULL":"An abnormal increase in pressure in the pulmonary veins, usually as a result of left atrial hypertension. []"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_CARDIOVASCULAR_SYSTEM_ELECTROPHYSIOLOGY","SYSTEMATIC_NAME":"M38428","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030956","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030956","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of cardiovascular system electrophysiology","DESCRIPTION_FULL":"An anomaly of the electrical conduction physiology of the heart. []"}
{"STANDARD_NAME":"HP_ABNORMAL_MORPHOLOGY_OF_THE_GREAT_VESSELS","SYSTEMATIC_NAME":"M38429","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030962","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030962","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal morphology of the great vessels","DESCRIPTION_FULL":"A structural anomaly affecting a blood vessel involved in the circulation of the heart, i.e., the superior or inferior vena cava, the pulmonary arteries, the pulmonary veins, and the aorta. []"}
{"STANDARD_NAME":"HP_ABNORMAL_SYSTEMIC_BLOOD_PRESSURE","SYSTEMATIC_NAME":"M38430","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030972","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030972","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal systemic blood pressure","DESCRIPTION_FULL":"A chronic deviation from normal pressure in the systemic arterial system. []"}
{"STANDARD_NAME":"HP_POSTEXERTIONAL_MALAISE","SYSTEMATIC_NAME":"M41531","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030973","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030973","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Postexertional malaise","DESCRIPTION_FULL":"A subjective feeling of tiredness characterized by a lack of energy and motivation and that is induced by exertion or exercise. []"}
{"STANDARD_NAME":"HP_SCLEROSING_CHOLANGITIS","SYSTEMATIC_NAME":"M38431","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0030991","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0030991","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Sclerosing cholangitis","DESCRIPTION_FULL":"Cholangitis associated with evident ductal fibrosis that develops as a consequence of long-standing bile duct inflammatory, obstruction, or ischemic injury; it can be obliterative or nonobliterative. []"}
{"STANDARD_NAME":"HP_LINGUAL_DYSTONIA","SYSTEMATIC_NAME":"M41532","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031008","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031008","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Lingual dystonia","DESCRIPTION_FULL":"Involuntary protrusions, movements, spams and contortions of the tongue. [PMID:24808861]"}
{"STANDARD_NAME":"HP_ANKYLOSIS","SYSTEMATIC_NAME":"M38432","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031013","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031013","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ankylosis","DESCRIPTION_FULL":"A reduction of joint mobility resulting from changes involving the articular surfaces. []"}
{"STANDARD_NAME":"HP_BONE_MARROW_HYPERCELLULARITY","SYSTEMATIC_NAME":"M38433","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031020","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031020","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Bone marrow hypercellularity","DESCRIPTION_FULL":"A larger than normal amount or percentage of hematopoietic cells relative to marrow fat. []"}
{"STANDARD_NAME":"HP_CHRONIC_INFECTION","SYSTEMATIC_NAME":"M38434","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031035","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031035","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Chronic infection","DESCRIPTION_FULL":"Presence of a protracted or persistent infection by a pathogen potentially related to an underlying abnormality of the immune system that is not able to clear the infection. []"}
{"STANDARD_NAME":"HP_IMPAIRMENT_OF_ACTIVITIES_OF_DAILY_LIVING","SYSTEMATIC_NAME":"M38435","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031058","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031058","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Impairment of activities of daily living","DESCRIPTION_FULL":"Difficulty in performing one or more activities normally performed every day, such as eating, bathing, dressing, grooming, work, homemaking, and leisure. []"}
{"STANDARD_NAME":"HP_ABNORMAL_OVARIAN_MORPHOLOGY","SYSTEMATIC_NAME":"M38436","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031065","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031065","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal ovarian morphology"}
{"STANDARD_NAME":"HP_ABNORMAL_OVARIAN_PHYSIOLOGY","SYSTEMATIC_NAME":"M38437","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031066","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031066","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal ovarian physiology","DESCRIPTION_FULL":"Any anomaly of ovarian function. []"}
{"STANDARD_NAME":"HP_ABNORMAL_ENDOCRINE_PHYSIOLOGY","SYSTEMATIC_NAME":"M38438","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031072","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031072","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal endocrine physiology","DESCRIPTION_FULL":"Any anomaly of the function of the endocrine system. []"}
{"STANDARD_NAME":"HP_ABNORMAL_RESPONSE_TO_ENDOCRINE_STIMULATION_TEST","SYSTEMATIC_NAME":"M41533","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031073","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031073","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal response to endocrine stimulation test","DESCRIPTION_FULL":"An anomalous response to a test that is designed to probe the function of the endocrine system. []"}
{"STANDARD_NAME":"HP_DECREASED_PREALBUMIN_LEVEL","SYSTEMATIC_NAME":"M38440","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031085","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031085","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased prealbumin level","DESCRIPTION_FULL":"A reduced concentration of prealbumin in the blood. Prealbumin, also known as transthyretin, has a half-life in plasma of about 2 days, much shorter than that of albumin. Prealbumin is therefore more sensitive to changes in protein-energy status than albumin, and its concentration closely reflects recent dietary intake rather than overall nutritional status. [PMID:17138848]"}
{"STANDARD_NAME":"HP_ABNORMAL_HUMERUS_MORPHOLOGY","SYSTEMATIC_NAME":"M38441","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031095","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031095","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal humerus morphology","DESCRIPTION_FULL":"Any anomaly of the structure of the humerus. []"}
{"STANDARD_NAME":"HP_ABNORMAL_THYROID_STIMULATING_HORMONE_LEVEL","SYSTEMATIC_NAME":"M41534","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031097","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031097","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal thyroid-stimulating hormone level","DESCRIPTION_FULL":"Any deviation from the normal amount of the thyroid-stimulating hormone (TSH), which is produced by the anterior pituitary gland and stimulates the function of the thyroid gland. []"}
{"STANDARD_NAME":"HP_ABNORMAL_CIRCULATING_INHIBIN_LEVEL","SYSTEMATIC_NAME":"M41535","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031099","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031099","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal circulating inhibin level","DESCRIPTION_FULL":"Any deviation from the normal concentration of inhibins, which are heterodimeric protein hormones secreted by granulosa cells of the ovary in females and Sertoli cells of the testis in males. Inhibins suppress the secretion of pituitary follicle-stimulating hormone. [PMID:12790766]"}
{"STANDARD_NAME":"HP_ABNORMAL_UTERUS_MORPHOLOGY","SYSTEMATIC_NAME":"M38442","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031105","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031105","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal uterus morphology","DESCRIPTION_FULL":"Any anomaly of the structure of the uterus []"}
{"STANDARD_NAME":"HP_TRICEPS_WEAKNESS","SYSTEMATIC_NAME":"M38443","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031108","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031108","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Triceps weakness","DESCRIPTION_FULL":"A lack of strength in the triceps muscle, which normally is responsible for extending (straightening) the elbow and mediating certain shoulder movements. []"}
{"STANDARD_NAME":"HP_RECURRENT_GASTROENTERITIS","SYSTEMATIC_NAME":"M38444","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031123","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031123","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Recurrent gastroenteritis","DESCRIPTION_FULL":"Increased susceptibility to gastroenteritis, an infectious inflammationof the stomach and small intestines manifested by signs and symptoms such as diarheas and abdominal pain, as manifested by recurrent episodes of gastroenteritis. []"}
{"STANDARD_NAME":"HP_THINNING_OF_DESCEMET_MEMBRANE","SYSTEMATIC_NAME":"M38445","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031159","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031159","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Thinning of Descemet membrane","DESCRIPTION_FULL":"A reduction in the thickness of Descemet's membrane. []"}
{"STANDARD_NAME":"HP_IMPAIRED_OROPHARYNGEAL_SWALLOW_RESPONSE","SYSTEMATIC_NAME":"M38446","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031162","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031162","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Impaired oropharyngeal swallow response","DESCRIPTION_FULL":"Delay or absence of the swallow response, reflexes triggered by the contact the food bolus makes with the anterior faucial pillars. [PMID:27785002]"}
{"STANDARD_NAME":"HP_MULTIFOCAL_SEIZURES","SYSTEMATIC_NAME":"M38447","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031165","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031165","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Multifocal seizures","DESCRIPTION_FULL":"Seizures that start from several different areas of the brain (i.e., with multiple ictal onset locations). [PMID:27091239]"}
{"STANDARD_NAME":"HP_NUCHAL_RIGIDITY","SYSTEMATIC_NAME":"M38448","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031179","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031179","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Nuchal rigidity","DESCRIPTION_FULL":"Resistance of the extensor muscles of the neck to being bent forwards (i.e., impaired neck flexion) as a result of muscle spasm of the extensor muscles of the neck. Nuchal rigidity is not a fixed rigidity. Nuchal rigidity has been used as a bedside test for meningism, although its sensitivity for this purpose has been debated. [PMID:12060874]"}
{"STANDARD_NAME":"HP_INTERNALLY_NUCLEATED_SKELETAL_MUSCLE_FIBERS","SYSTEMATIC_NAME":"M41536","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031237","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031237","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Internally nucleated skeletal muscle fibers","DESCRIPTION_FULL":"An abnormality in which the nuclei of sarcomeres take on an abnormally internal localization (or in which this feature is found in an increased proportion of muscle cells). [PMID:22938878]"}
{"STANDARD_NAME":"HP_PRODUCTIVE_COUGH","SYSTEMATIC_NAME":"M38449","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031245","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031245","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Productive cough","DESCRIPTION_FULL":"A cough that produces phlegm or mucus. []"}
{"STANDARD_NAME":"HP_ABNORMAL_SUBCLAVIAN_ARTERY_MORPHOLOGY","SYSTEMATIC_NAME":"M41537","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031251","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031251","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal subclavian artery morphology","DESCRIPTION_FULL":"Any anomaly of a subclavian artery. []"}
{"STANDARD_NAME":"HP_DELIRIUM","SYSTEMATIC_NAME":"M38450","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031258","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031258","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Delirium","DESCRIPTION_FULL":"A state of sudden and severe confusion. []"}
{"STANDARD_NAME":"HP_SHOCK","SYSTEMATIC_NAME":"M38451","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031273","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031273","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Shock","DESCRIPTION_FULL":"The state in which profound and widespread reduction of effective tissue perfusion leads first to reversible, and then if prolonged, to irreversible cellular injury. []"}
{"STANDARD_NAME":"HP_FLUSHING","SYSTEMATIC_NAME":"M38452","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031284","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031284","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Flushing","DESCRIPTION_FULL":"Recurrent episodes of redness of the skin together with a sensation of warmth or burning of the affected areas of skin. []"}
{"STANDARD_NAME":"HP_ABNORMAL_PERIFOLLICULAR_MORPHOLOGY","SYSTEMATIC_NAME":"M38453","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031285","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031285","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal perifollicular morphology","DESCRIPTION_FULL":"Any structural anomaly in the areas surrounding the hair follicles. []"}
{"STANDARD_NAME":"HP_CUTANEOUS_ABSCESS","SYSTEMATIC_NAME":"M38454","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031292","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031292","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cutaneous abscess","DESCRIPTION_FULL":"A circumscribed area of pus or necrotic debris in the skin. []"}
{"STANDARD_NAME":"HP_LEFT_ATRIAL_ENLARGEMENT","SYSTEMATIC_NAME":"M38455","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031295","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031295","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Left atrial enlargement","DESCRIPTION_FULL":"Increase in size of the left atrium. []"}
{"STANDARD_NAME":"HP_INTERSTITIAL_CARDIAC_FIBROSIS","SYSTEMATIC_NAME":"M38456","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031329","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031329","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Interstitial cardiac fibrosis","DESCRIPTION_FULL":"A type of myocardial fibrosis characterized by excessive diffuse collagen accumulation concentrated in interstitial spaces. [PMID:10435025]"}
{"STANDARD_NAME":"HP_ABNORMAL_CARDIOMYOCYTE_MORPHOLOGY","SYSTEMATIC_NAME":"M38457","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031331","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031331","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal cardiomyocyte morphology","DESCRIPTION_FULL":"Any structural anomaly of cardiomyocytes, which are terminally differentiated muscle cells in the heart that are interconnected end to end by gap junctions, which allows coordinated contraction of heart tissue. []"}
{"STANDARD_NAME":"HP_VEGETATIVE_STATE","SYSTEMATIC_NAME":"M38458","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031358","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031358","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Vegetative state","DESCRIPTION_FULL":"Absence of wakefulness and conscience, but (in contrast to coma) with involuntary opening of the eyes and movements (such as teeth grinding, yawning, or thrashing of the extremities). []"}
{"STANDARD_NAME":"HP_ECCHYMOSIS","SYSTEMATIC_NAME":"M38459","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031364","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031364","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ecchymosis","DESCRIPTION_FULL":"A purpuric lesion that is larger than 1 cm in diameter. []"}
{"STANDARD_NAME":"HP_MACULAR_PURPURA","SYSTEMATIC_NAME":"M38460","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031365","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031365","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Macular purpura","DESCRIPTION_FULL":"Purpura that is flat (non-palpable, not raised). []"}
{"STANDARD_NAME":"HP_METAPHYSEAL_STRIATIONS","SYSTEMATIC_NAME":"M38461","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031367","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031367","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Metaphyseal striations","DESCRIPTION_FULL":"Longitudinal densities on radiographs located in a metaphysis (the narrow region of a long bone between the epiphysis and the diaphysis). [PMID:18203204]"}
{"STANDARD_NAME":"HP_ANKLE_WEAKNESS","SYSTEMATIC_NAME":"M38462","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031374","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031374","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ankle weakness","DESCRIPTION_FULL":"Reduced strength of the muscles that lift or otherwise move the foot at the ankle. []"}
{"STANDARD_NAME":"HP_ABNORMAL_CELL_PROLIFERATION","SYSTEMATIC_NAME":"M38463","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031377","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031377","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal cell proliferation","DESCRIPTION_FULL":"Any abnormality in the multiplication or reproduction of cells, which may result in the expansion of a cell population. []"}
{"STANDARD_NAME":"HP_ABNORMAL_T_CELL_PROLIFERATION","SYSTEMATIC_NAME":"M38464","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031379","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031379","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal T cell proliferation","DESCRIPTION_FULL":"Any abnormality in the multiplication or reproduction of T cells, which results in the expansion of a cell population. []"}
{"STANDARD_NAME":"HP_DECREASED_LYMPHOCYTE_PROLIFERATION_IN_RESPONSE_TO_MITOGEN","SYSTEMATIC_NAME":"M38465","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031381","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031381","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased lymphocyte proliferation in response to mitogen","DESCRIPTION_FULL":"A decreased proliferative response of lymphocytes in vitro or in vivo, when stimulated with mitogens, such as phytohemagglutinin (PHA). []"}
{"STANDARD_NAME":"HP_DECREASED_LYMPHOCYTE_PROLIFERATION_IN_RESPONSE_TO_ANTI_CD3","SYSTEMATIC_NAME":"M41538","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031382","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031382","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased lymphocyte proliferation in response to anti-CD3","DESCRIPTION_FULL":"A decreased proliferative response of lymphocytes in vitro or in vivo, when stimulated with an anti-CD3 antibody against the T-cell co-receptor, CD3. []"}
{"STANDARD_NAME":"HP_ABNORMAL_PROPORTION_OF_CD4_POSITIVE_T_CELLS","SYSTEMATIC_NAME":"M38466","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031392","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031392","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal proportion of CD4-positive T cells","DESCRIPTION_FULL":"Any abnormality in the proportion of CD4-positive T cells relative to the total number of T cells. []"}
{"STANDARD_NAME":"HP_ABNORMAL_PROPORTION_OF_CD8_POSITIVE_T_CELLS","SYSTEMATIC_NAME":"M38467","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031393","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031393","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal proportion of CD8-positive T cells","DESCRIPTION_FULL":"Any abnormality in the proportion of CD8 T cells relative to the total number of T cells. []"}
{"STANDARD_NAME":"HP_ABNORMAL_CD4_CD8_RATIO","SYSTEMATIC_NAME":"M38468","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031394","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031394","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal CD4:CD8 ratio","DESCRIPTION_FULL":"Any abnormality in the relative amount of CD4+ and CD8+ T lymphocytes. [PMID:29095912]"}
{"STANDARD_NAME":"HP_REDUCED_ANTIGEN_SPECIFIC_T_CELL_PROLIFERATION","SYSTEMATIC_NAME":"M41539","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031402","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031402","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Reduced antigen-specific T cell proliferation","DESCRIPTION_FULL":"Impaired proliferation and expansion of a T cell population following activation by an antigenic stimulus. []"}
{"STANDARD_NAME":"HP_IMPAIRED_ANTIGEN_SPECIFIC_RESPONSE","SYSTEMATIC_NAME":"M38470","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031404","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031404","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Impaired antigen-specific response","DESCRIPTION_FULL":"An impaired immune response mediated by cells expressing specific receptors for antigen produced through a somatic diversification process, and allowing for an enhanced secondary response to subsequent exposures to the same antigen (immunological memory). []"}
{"STANDARD_NAME":"HP_ABNORMAL_LYMPHOCYTE_PHYSIOLOGY","SYSTEMATIC_NAME":"M38471","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031409","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031409","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal lymphocyte physiology","DESCRIPTION_FULL":"Any anomaly of lymphocyte function. []"}
{"STANDARD_NAME":"HP_ABNORMAL_CHROMOSOME_MORPHOLOGY","SYSTEMATIC_NAME":"M41540","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031411","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031411","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal chromosome morphology","DESCRIPTION_FULL":"Any structural anomaly of a chromosome, which is a thread like molecule consisting of DNA and proteins (chromatin) that contains DNA sequences for genes and other genetic elements in linear order. []"}
{"STANDARD_NAME":"HP_ABNORMAL_NASAL_MUCUS_SECRETION","SYSTEMATIC_NAME":"M38472","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031416","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031416","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal nasal mucus secretion","DESCRIPTION_FULL":"Any deviation from the normal quantity of secretion of nasal mucus, a thick viscous liquid produced by the mucous membranes of the nose. []"}
{"STANDARD_NAME":"HP_INCREASED_BODY_MASS_INDEX","SYSTEMATIC_NAME":"M38473","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031418","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031418","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased body mass index","DESCRIPTION_FULL":"Abnormally increased weight-to-height squared ratio, calculated by dividing the individual's weight in kilograms by the square of the individual's height in meters and used as an indicator of overweight compared to averages. [PMID:17973940]"}
{"STANDARD_NAME":"HP_ABNORMAL_SPEECH_PROSODY","SYSTEMATIC_NAME":"M38474","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031434","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031434","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal speech prosody","DESCRIPTION_FULL":"An anomaly of the expressive patterns of speech that involve intonation, stress pattern, loudness variations, pausing, articulatory force, and rhythm. []"}
{"STANDARD_NAME":"HP_MONOTONIC_SPEECH","SYSTEMATIC_NAME":"M38475","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031435","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031435","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Monotonic speech","DESCRIPTION_FULL":"A speech pattern characterized by abnormally reduced or lacking variability of the pitch of the voice. []"}
{"STANDARD_NAME":"HP_PREGNANCY_EXPOSURE","SYSTEMATIC_NAME":"M38476","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031437","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031437","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pregnancy exposure","DESCRIPTION_FULL":"Exposure of pregnant women to toxins from any source, such as environmental toxins or chemicals, that may potentially cause problems such as miscarriage, preterm delivery, low birth weight, and, in some cases, developmental delays in infants. [ORCID:0000-0002-6387-4317]"}
{"STANDARD_NAME":"HP_EROSION_OF_ORAL_MUCOSA","SYSTEMATIC_NAME":"M41541","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031446","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031446","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Erosion of oral mucosa","DESCRIPTION_FULL":"Loss of the superficial layer of the oral mucosa usually resulting in a shallow or crusted lesion. []"}
{"STANDARD_NAME":"HP_SOFT_TISSUE_NEOPLASM","SYSTEMATIC_NAME":"M38478","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031459","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031459","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Soft tissue neoplasm","DESCRIPTION_FULL":"A tumor (abnormal growth of tissue) that arises from the soft tissue. The most common types are lipomatous (fatty), vascular, smooth muscle, fibrous, and fibrohistiocytic neoplasms. [NCIT:C3377]"}
{"STANDARD_NAME":"HP_IMPAIRMENT_IN_PERSONALITY_FUNCTIONING","SYSTEMATIC_NAME":"M38479","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031466","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031466","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Impairment in personality functioning","DESCRIPTION_FULL":"A maladaptive personality trait characterized by moderate or greater impairment in personality (self /interpersonal) functioning. [PMID:23902698]"}
{"STANDARD_NAME":"HP_LOW_SELF_ESTEEM","SYSTEMATIC_NAME":"M38480","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031469","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031469","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Low self esteem","DESCRIPTION_FULL":"Negative opinion about oneself characterized by low self-confidence and exaggeratedly critical feelings about oneself. []"}
{"STANDARD_NAME":"HP_STATUS_EPILEPTICUS_WITHOUT_PROMINENT_MOTOR_SYMPTOMS","SYSTEMATIC_NAME":"M38481","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031475","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031475","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Status epilepticus without prominent motor symptoms","DESCRIPTION_FULL":"There is inconclusive evidence to precisely define the duration of the seizure; however, based on current evidence an operational threshold of 10 minutes is appropriate as beyond this a seizure is likely to be more prolonged. The individual may or may not be aware or in coma. [ORCID:0000-0002-1735-8178, PMID:17805245, PMID:22528274, PMID:26336950]"}
{"STANDARD_NAME":"HP_ABNORMAL_MITRAL_VALVE_PHYSIOLOGY","SYSTEMATIC_NAME":"M38482","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031481","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031481","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal mitral valve physiology","DESCRIPTION_FULL":"Any functional anomaly of the mitral valve. []"}
{"STANDARD_NAME":"HP_ABNORMAL_CIRCULATING_T4_LEVEL","SYSTEMATIC_NAME":"M41542","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031505","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031505","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal circulating T4 level","DESCRIPTION_FULL":"A deviation from the normal concentration of thyroxine in the blood. Thyroxine (also known as T4) is the main hormone secreted by the thyroid gland into the blood. It can be converted into the active form triiodothyronine (also known as T3). []"}
{"STANDARD_NAME":"HP_ABNORMAL_THYROID_HORMONE_LEVEL","SYSTEMATIC_NAME":"M38484","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031508","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031508","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal thyroid hormone level","DESCRIPTION_FULL":"Any deviation from the normal range of the hormones produced by the thyroid gland. [PMID:28932413]"}
{"STANDARD_NAME":"HP_ABNORMAL_DERMOEPIDERMAL_JUNCTION_MORPHOLOGY","SYSTEMATIC_NAME":"M41543","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031538","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031538","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal dermoepidermal junction morphology","DESCRIPTION_FULL":"Any anomaly of the structure of the acellular zone that is between the dermis and the epidermis and which functions to bind the epidermis to the dermis and to serve as a selective barrier allowing the control of molecular and cellular exchanges between the two compartments. [PMID:1097542]"}
{"STANDARD_NAME":"HP_CARDIAC_CONDUCTION_ABNORMALITY","SYSTEMATIC_NAME":"M38485","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031546","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031546","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cardiac conduction abnormality","DESCRIPTION_FULL":"Any anomaly of the progression of electrical impulses through the heart. []"}
{"STANDARD_NAME":"HP_ABNORMAL_QT_INTERVAL","SYSTEMATIC_NAME":"M38486","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031547","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031547","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal QT interval","DESCRIPTION_FULL":"Any anomaly of the time interval between the start of the Q wave and the end of the T wave as measured by the electrocardiogram (EKG). []"}
{"STANDARD_NAME":"HP_ABNORMAL_PULMONARY_VALVE_CUSP_MORPHOLOGY","SYSTEMATIC_NAME":"M38487","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031566","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031566","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal pulmonary valve cusp morphology","DESCRIPTION_FULL":"Any structural anomaly of the pulmonary valve leaflets. [Fyler:1652]"}
{"STANDARD_NAME":"HP_ABNORMAL_AORTIC_VALVE_CUSP_MORPHOLOGY","SYSTEMATIC_NAME":"M38488","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031567","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031567","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal aortic valve cusp morphology","DESCRIPTION_FULL":"Any structural anomaly of the aortic valve leaflets. [Fyler:1480]"}
{"STANDARD_NAME":"HP_ABNORMAL_PR_INTERVAL","SYSTEMATIC_NAME":"M38489","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031593","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031593","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal PR interval","DESCRIPTION_FULL":"An anomaly of the PR interval, which is the portion of the ECG from the onset of the P wave to the beginning of the QRS complex. A normal PR interval in adults is 0.12-0.2 seconds. [PMID:23677846]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_FUNDUS_PIGMENTATION","SYSTEMATIC_NAME":"M38490","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031605","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031605","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of fundus pigmentation","DESCRIPTION_FULL":"Any anomaly of the pigmentation of the fundus, the posterior part of the eye including the retina and optic nerve. []"}
{"STANDARD_NAME":"HP_GEOGRAPHIC_ATROPHY","SYSTEMATIC_NAME":"M38491","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031609","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031609","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Geographic atrophy","DESCRIPTION_FULL":"Sharply demarcated area of partial or complete depigmentation of the fundus reflecting atrophy of the retinal pigment epithelium with associated retinal photoreceptor loss. The margins of the de-pigmented area are usually scalloped and the large choroidal vessels are visible through the atrophic retinal pigment epithelium. [ORCID:0000-0003-0986-4123, PMID:24158023]"}
{"STANDARD_NAME":"HP_IMPAIRED_TANDEM_GAIT","SYSTEMATIC_NAME":"M41544","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031629","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031629","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Impaired tandem gait","DESCRIPTION_FULL":"Reduced ability to walk in a straight line while placing the feet heel to toe. []"}
{"STANDARD_NAME":"HP_ABNORMAL_ATRIOVENTRICULAR_VALVE_PHYSIOLOGY","SYSTEMATIC_NAME":"M38492","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031650","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031650","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal atrioventricular valve physiology","DESCRIPTION_FULL":"Any functional defect of the mitral or tricuspid valve. []"}
{"STANDARD_NAME":"HP_ABNORMAL_TRICUSPID_VALVE_PHYSIOLOGY","SYSTEMATIC_NAME":"M38493","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031651","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031651","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal tricuspid valve physiology","DESCRIPTION_FULL":"Any functional defect of the tricuspid valve. []"}
{"STANDARD_NAME":"HP_ABNORMAL_AORTIC_VALVE_PHYSIOLOGY","SYSTEMATIC_NAME":"M38494","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031652","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031652","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal aortic valve physiology"}
{"STANDARD_NAME":"HP_ABNORMAL_HEART_VALVE_PHYSIOLOGY","SYSTEMATIC_NAME":"M38495","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031653","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031653","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal heart valve physiology","DESCRIPTION_FULL":"Any functional abnormality of a cardiac valve. []"}
{"STANDARD_NAME":"HP_ABNORMAL_PULMONARY_VALVE_PHYSIOLOGY","SYSTEMATIC_NAME":"M38496","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031654","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031654","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal pulmonary valve physiology","DESCRIPTION_FULL":"Any functional anomaly of the pumonary valve. []"}
{"STANDARD_NAME":"HP_ABNORMAL_HEART_SOUND","SYSTEMATIC_NAME":"M38497","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031657","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031657","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal heart sound","DESCRIPTION_FULL":"Any abnormal noise generated by the beating heart. []"}
{"STANDARD_NAME":"HP_SYSTOLIC_HEART_MURMUR","SYSTEMATIC_NAME":"M41545","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031664","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031664","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Systolic heart murmur","DESCRIPTION_FULL":"A heart murmur limited to systole, i.e., between the first and second heart sounds S1 and S2. []"}
{"STANDARD_NAME":"HP_OPPORTUNISTIC_INFECTION","SYSTEMATIC_NAME":"M38498","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031690","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031690","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Opportunistic infection","DESCRIPTION_FULL":"An infection that is caused by a pathogen that would generally not be able to cause an infection in a host with a normal immune system. Such pathogens take advantage of the opportunity, so to speak, that is provided by a weakened immune system. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SEVERE_VIRAL_INFECTION","SYSTEMATIC_NAME":"M41546","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031691","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031691","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Severe viral infection","DESCRIPTION_FULL":"An unusually severe viral infection. [PMID:21960712]"}
{"STANDARD_NAME":"HP_COMPENSATORY_HEAD_POSTURE","SYSTEMATIC_NAME":"M41547","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031705","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031705","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Compensatory head posture","DESCRIPTION_FULL":"A compensatory head posture occurs when the head is deviated out of the normal primary straight head position in order to compensate for an ocular problem. []"}
{"STANDARD_NAME":"HP_CLINICAL_COURSE","SYSTEMATIC_NAME":"M38499","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031797","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031797","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Clinical course","DESCRIPTION_FULL":"The course a disease typically takes from its onset, progression in time, and eventual resolution or death of the affected individual. []"}
{"STANDARD_NAME":"HP_ABNORMAL_ORAL_PHYSIOLOGY","SYSTEMATIC_NAME":"M38500","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031815","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031815","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal oral physiology","DESCRIPTION_FULL":"A functional anomaly of the mouth (which is also known as the oral cavity). []"}
{"STANDARD_NAME":"HP_ABNORMAL_WAIST_TO_HIP_RATIO","SYSTEMATIC_NAME":"M38501","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031818","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031818","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal waist to hip ratio","DESCRIPTION_FULL":"A deviation from normal of the waist to hip ratio, defined as the waist measurement divided by hip measurement. []"}
{"STANDARD_NAME":"HP_ABNORMAL_REFLEX","SYSTEMATIC_NAME":"M38502","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031826","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031826","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal reflex","DESCRIPTION_FULL":"Any anomaly of a reflex, i.e., of an automatic response mediated by the nervous system (a reflex does not need the intervention of conscious thought to occur). []"}
{"STANDARD_NAME":"HP_LYMPHANGIECTASIS","SYSTEMATIC_NAME":"M38503","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031842","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031842","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Lymphangiectasis","DESCRIPTION_FULL":"Dilation of the lymphatic vessels, the basic process that may result in the formation of a lymphangioma. [MP:0004038]"}
{"STANDARD_NAME":"HP_ABNORMAL_LIBIDO","SYSTEMATIC_NAME":"M38504","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031845","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031845","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal libido","DESCRIPTION_FULL":"Any deviation from the normal sexual drive or desire for sexual activity. []"}
{"STANDARD_NAME":"HP_ABNORMAL_HEART_RATE_VARIABILITY","SYSTEMATIC_NAME":"M41548","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031860","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031860","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal heart rate variability","DESCRIPTION_FULL":"Any abnormality in the variability of the time interval between successive heartbeats. [PMID:8598068]"}
{"STANDARD_NAME":"HP_BLOODSTREAM_INFECTIOUS_AGENT","SYSTEMATIC_NAME":"M41549","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031863","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031863","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Bloodstream infectious agent","DESCRIPTION_FULL":"The presence of an infectious agent in the blood circulation. []"}
{"STANDARD_NAME":"HP_ABNORMAL_LIVER_PHYSIOLOGY","SYSTEMATIC_NAME":"M41550","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031865","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031865","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal liver physiology","DESCRIPTION_FULL":"Any functional anomaly of the liver. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RECURRENT_JOINT_DISLOCATION","SYSTEMATIC_NAME":"M41551","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031869","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031869","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Recurrent joint dislocation","DESCRIPTION_FULL":"Dislocation of a given joint repeated times. []"}
{"STANDARD_NAME":"HP_ACROMICRIA","SYSTEMATIC_NAME":"M38505","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031878","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031878","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Acromicria","DESCRIPTION_FULL":"Small hands and feet in proportion to the rest of the body. [HPO:probinson, PMID:22043168]"}
{"STANDARD_NAME":"HP_ABNORMAL_EYELID_PHYSIOLOGY","SYSTEMATIC_NAME":"M38506","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031879","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031879","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal eyelid physiology","DESCRIPTION_FULL":"Any functional abnormality of the eyelid. []"}
{"STANDARD_NAME":"HP_AGYRIA","SYSTEMATIC_NAME":"M38507","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031882","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031882","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Agyria","DESCRIPTION_FULL":"A congenital abnormality of the cerebral hemisphere characterized by lack of gyrations (convolutions) of the cerebral cortex. Agyria is defined as cortical regions lacking gyration with sulci great than 3 cm apart and cerebral cortex thicker than 5 mm. [COST:neuromig]"}
{"STANDARD_NAME":"HP_ABNORMAL_LDL_CHOLESTEROL_CONCENTRATION","SYSTEMATIC_NAME":"M38508","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031886","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031886","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal LDL cholesterol concentration","DESCRIPTION_FULL":"Any deviation from the normal concentration of low-density lipoprotein cholesterol in the blood circulation. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_HDL_CHOLESTEROL_CONCENTRATION","SYSTEMATIC_NAME":"M38509","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031888","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031888","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal HDL cholesterol concentration","DESCRIPTION_FULL":"Any deviation from the normal concentration of high-density lipoprotein cholesterol (HDL) in the blood. []"}
{"STANDARD_NAME":"HP_MICROGRAPHIA","SYSTEMATIC_NAME":"M38510","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031908","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031908","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Micrographia","DESCRIPTION_FULL":"Abnormally small sized handwriting defined formally as an impairment of a fine motor skill manifesting mainly as a progressive or stable reduction in amplitude during a writing task. [HPO:probinson, PMID:29403348]"}
{"STANDARD_NAME":"HP_ABNORMAL_CRANIAL_NERVE_PHYSIOLOGY","SYSTEMATIC_NAME":"M38511","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031910","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031910","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal cranial nerve physiology","DESCRIPTION_FULL":"A functional abnormality affecting one or more of the cranial nerves, which emerge directly from the brain stem. []"}
{"STANDARD_NAME":"HP_DELAYED_ABILITY_TO_WALK","SYSTEMATIC_NAME":"M38512","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031936","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031936","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Delayed ability to walk","DESCRIPTION_FULL":"A failure to achieve the ability to walk at an appropriate developmental stage. Most children learn to walk in a series of stages, and learn to walk short distances independently between 12 and 15 months. []"}
{"STANDARD_NAME":"HP_ABNORMAL_CONUS_TERMINALIS_MORPHOLOGY","SYSTEMATIC_NAME":"M38513","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031938","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031938","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal conus terminalis morphology","DESCRIPTION_FULL":"Any structural anomaly of the conus terminalis, which is the distal bulbous part of the spinal cord at the location where the spinal cord tapers and ends (usually between the L1 and L2 lumbar vertebrae). []"}
{"STANDARD_NAME":"HP_USUAL_INTERSTITIAL_PNEUMONIA","SYSTEMATIC_NAME":"M41552","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031950","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031950","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Usual interstitial pneumonia","DESCRIPTION_FULL":"Temporal and spatial heterogeneity in lungs based on presence of fibrosis and honeycombing. [PMID:26666486, PMID:8697837]"}
{"STANDARD_NAME":"HP_ELEVATED_SERUM_ASPARTATE_AMINOTRANSFERASE","SYSTEMATIC_NAME":"M41553","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031956","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031956","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Elevated serum aspartate aminotransferase","DESCRIPTION_FULL":"An abnormally high concentration in the circulation of aspartate aminotransferase (AST). []"}
{"STANDARD_NAME":"HP_SPASTIC_PARAPARETIC_GAIT","SYSTEMATIC_NAME":"M38514","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031958","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031958","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Spastic paraparetic gait","DESCRIPTION_FULL":"A type of spastic gait in which the legs are usually slightly bent at the hip and in an adducted position. The knees are extended or slightly bent and the feet are in a plantar flexion position. This posture requires circumduction of the legs during walking. The gait may appear stiff (spastic gait disorder) or stiff as well as insecure (spastic ataxic gait disorder). In spastic paraparetic gait, each leg appears to be dragged forward. If the muscle tone in the adductors is marked, the resulting gait disorder is referred to as scissor gait. [PMID:27770207]"}
{"STANDARD_NAME":"HP_ARM_DYSTONIA","SYSTEMATIC_NAME":"M41554","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031960","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031960","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Arm dystonia","DESCRIPTION_FULL":"A type of dystonia (abnormally increased muscular tone causing fixed abnormal postures) that affects muscles of the arms. []"}
{"STANDARD_NAME":"HP_ELEVATED_SERUM_ALANINE_AMINOTRANSFERASE","SYSTEMATIC_NAME":"M41555","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031964","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031964","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Elevated serum alanine aminotransferase","DESCRIPTION_FULL":"An abnormally high concentration in the circulation of alanine aminotransferase (ALT), which is an enzyme that catalyzes the transfer of amino groups to form the hepatic metabolite oxaloacetate. ALT is found abundantly in the cytosol of the hepatocyte. ALT activity in the liver is about 3000 times that of serum activity. Thus, in the case of hepatocellular injury or death, release of ALT from damaged liver cells increases measured ALT activity in the serum. Although it is generally thought to be specific to the liver, it is also found in the kidney, and, in much smaller quantities, in heart and skeletal muscle cells. [PMID:18366115]"}
{"STANDARD_NAME":"HP_ABNORMAL_URINE_CARBOHYDRATE_LEVEL","SYSTEMATIC_NAME":"M38515","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031979","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031979","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal urine carbohydrate level","DESCRIPTION_FULL":"Any deviation from the normal concentration of a carbohydrate in the urine. []"}
{"STANDARD_NAME":"HP_ABNORMAL_URINE_CARBOXYLIC_ACID_LEVEL","SYSTEMATIC_NAME":"M38516","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031980","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031980","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal urine carboxylic acid level","DESCRIPTION_FULL":"Any deviation from the normal concentration of a carboxylic acid in the urine. []"}
{"STANDARD_NAME":"HP_ABNORMAL_PULMONARY_THORACIC_IMAGING_FINDING","SYSTEMATIC_NAME":"M38517","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031983","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031983","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal pulmonary thoracic imaging finding","DESCRIPTION_FULL":"This term groups terms representing abnormal findings derived from chest X-ray investigation of the lung. In general, lung abnormalities can manifest as opacities (areas of increased density) or as regions with decreased density. []"}
{"STANDARD_NAME":"HP_DIMINISHED_ABILITY_TO_CONCENTRATE","SYSTEMATIC_NAME":"M38518","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0031987","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0031987","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Diminished ability to concentrate","DESCRIPTION_FULL":"Being unable to focus one's attention or mental effort on a particular object or activity. []"}
{"STANDARD_NAME":"HP_HETEROPHORIA","SYSTEMATIC_NAME":"M38519","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0032011","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0032011","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Heterophoria","DESCRIPTION_FULL":"Heterophorias are latent deviations that are controlled by fusion. In certain circumstances (specific visual tasks, fatigue, illness, etc.), fusion can no longer be maintained and decompensation occurs. []"}
{"STANDARD_NAME":"HP_HETEROTROPIA","SYSTEMATIC_NAME":"M38520","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0032012","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0032012","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Heterotropia","DESCRIPTION_FULL":"Manifest deviation of the visual axes not controlled by fusion. [UManchester:psergouniotis]"}
{"STANDARD_NAME":"HP_ABNORMAL_SPUTUM","SYSTEMATIC_NAME":"M41556","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0032016","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0032016","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal sputum","DESCRIPTION_FULL":"Abnormal appearance of material expectorated (coughed up) from the respiratory system and that is composed of mucus but may contain other substances such as pus, blood, microorganisms, and fibrin. []"}
{"STANDARD_NAME":"HP_DECREASED_VIGILANCE","SYSTEMATIC_NAME":"M41557","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0032044","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0032044","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased vigilance","DESCRIPTION_FULL":"A reduction in the ability to maintain sustained attention characterized by reduced alertness. [PMID:16581292]"}
{"STANDARD_NAME":"HP_FOCAL_CORTICAL_DYSPLASIA","SYSTEMATIC_NAME":"M38521","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0032046","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0032046","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Focal cortical dysplasia","DESCRIPTION_FULL":"A type of malformation of cortical development that primarily affects areas of neocortex. It can be identified on conventional magnetic resonance imaging as focal cortical thickening, abnormal gyration, and blurring between gray and white matter, often associated with clusters of heterotopic neurons. [PMID:12707084]"}
{"STANDARD_NAME":"HP_FOCAL_CORTICAL_DYSPLASIA_TYPE_II","SYSTEMATIC_NAME":"M38522","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0032051","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0032051","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Focal cortical dysplasia type II","DESCRIPTION_FULL":"A type of focal cortical dysplasia that is characterized by disrupted cortical lamination and specific cytological abnormalities. [COST:neuromig, PMID:21219302]"}
{"STANDARD_NAME":"HP_HYPEREOSINOPHILIA","SYSTEMATIC_NAME":"M38523","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0032061","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0032061","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypereosinophilia","DESCRIPTION_FULL":"A severely increased count of eosinophils in the blood defined as a blood eosinophil count of 1.5 × 10e9/L or greater (one and a half billion cells per liter). [PMID:20538328]"}
{"STANDARD_NAME":"HP_GASTROINTESTINAL_EOSINOPHILIA","SYSTEMATIC_NAME":"M41558","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0032064","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0032064","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Gastrointestinal eosinophilia","DESCRIPTION_FULL":"Eosinophilic infiltration of one or more gastrointestinal organs. Gastrointestinal eosinophilia is a broad term for abnormal eosinophil accumulation in the GI tract, involving many different disease identities. These diseases include primary eosinophil associated gastrointestinal diseases, gastrointestinal eosinophilia in HES and all gastrointestinal eosinophilic states associated with known causes. Each of these diseases has its unique features but there is no absolute boundary between them. [PMID:17868858, PMID:23964139]"}
{"STANDARD_NAME":"HP_UNUSUAL_INFECTION","SYSTEMATIC_NAME":"M38524","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0032101","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0032101","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Unusual infection","DESCRIPTION_FULL":"A type of infection that is regarded as a sign of a pathological susceptibility to infection. There are five general subtypes. (i) Opportunistic infection, meaning infection by a pathogen that is not normally able to cause infection in a healthy host (e.g., pneumonia by Pneumocystis jirovecii or CMV); (ii) Unusual location (focus) of an infection (e.g., an aspergillus brain abscess); (iii) a protracted course or lack of adequate response to treatment (e.g., chronic rhinosinusitis); (iv) Unusual severity or intensity of an infection; and (v) unusual recurrence of infections. [PMID:22052638]"}
{"STANDARD_NAME":"HP_SACCADIC_OSCILLATION","SYSTEMATIC_NAME":"M38525","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0032104","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0032104","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Saccadic oscillation","DESCRIPTION_FULL":"An involuntary abnormality of fixation in which there is an abnormal saccade away from fixation followed by an immediate corrective saccade. [UManchester:psergouniotis]"}
{"STANDARD_NAME":"HP_LIMBAL_STEM_CELL_DEFICIENCY","SYSTEMATIC_NAME":"M41559","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0032107","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0032107","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Limbal stem cell deficiency","DESCRIPTION_FULL":"A condition characterized by a loss or deficiency of the stem cells in the limbus that are vital for re-population of the corneal epithelium and to the barrier function of the limbus. [PMID:26788074, UManchester:psergouniotis]"}
{"STANDARD_NAME":"HP_DECREASED_SPECIFIC_ANTIBODY_RESPONSE_TO_VACCINATION","SYSTEMATIC_NAME":"M41560","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0032140","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0032140","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased specific antibody response to vaccination","DESCRIPTION_FULL":"A reduced ability to synthesize postvaccination antibodies against toxoids and polysaccharides in vaccines, as measured by antibody titer determination following vaccination. [PMID:26018535]"}
{"STANDARD_NAME":"HP_KERATOSIS_PILARIS","SYSTEMATIC_NAME":"M38526","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0032152","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0032152","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Keratosis pilaris","DESCRIPTION_FULL":"An anomaly of the hair follicles of the skin that typically presents as small, rough, brown folliculocentric papules distributed over characteristic areas of the skin, particularly the outer-upper arms and thighs. [PMID:22628989, PMID:27194977, PMID:30043128]"}
{"STANDARD_NAME":"HP_JOINT_SUBLUXATION","SYSTEMATIC_NAME":"M38527","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0032153","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0032153","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Joint subluxation","DESCRIPTION_FULL":"A partial dislocation of a joint. []"}
{"STANDARD_NAME":"HP_APHTHOUS_ULCER","SYSTEMATIC_NAME":"M41561","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0032154","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0032154","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aphthous ulcer","DESCRIPTION_FULL":"Oral aphthous ulcers typically present as painful, sharply circumscribed fibrin-covered mucosal defects with a hyperemic border. [PMID:25346356]"}
{"STANDARD_NAME":"HP_UNUSUAL_INFECTION_BY_ANATOMICAL_SITE","SYSTEMATIC_NAME":"M38528","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0032158","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0032158","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Unusual infection by anatomical site","DESCRIPTION_FULL":"An unusual infection classified by the affected body part. []"}
{"STANDARD_NAME":"HP_UNUSUAL_SKIN_INFECTION","SYSTEMATIC_NAME":"M41562","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0032162","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0032162","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Unusual skin infection","DESCRIPTION_FULL":"A type of infection of the skin that can be regarded as a sign of a pathological susceptibility to infection. []"}
{"STANDARD_NAME":"HP_MOLLUSCUM_CONTAGIOSUM","SYSTEMATIC_NAME":"M41563","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0032163","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0032163","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Molluscum contagiosum","DESCRIPTION_FULL":"Molluscum contagiosum is a cutaneous viral infection that is commonly observed in both healthy and immunocompromised children. The infection is caused by a member of the Poxviridae family, the molluscum contagiosum virus. Molluscum contagiosum presents as single or multiple small white or flesh-colored papules that typically have a central umbilication. The central umbilication may be difficult to observe in young children and, instead, may bear an appearance similar to an acneiform eruption. The lesions vary in size (from 1 mm to 1 cm in diameter) and are painless, although a subset of patients report pruritus in the area of infection. On average, 11-20 papules appear on the body during the course of infection and generally remains a self-limiting disease. However, in immunosuppressed patients, molluscum contagiosum can be a severe infection with hundreds of lesions developing on the body. Extensive eruption is indicative of an advanced immunodeficiency state. [PMID:24740746]"}
{"STANDARD_NAME":"HP_SEVERE_INFECTION","SYSTEMATIC_NAME":"M38529","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0032169","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0032169","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Severe infection","DESCRIPTION_FULL":"A type of infection that is regarded as a sign of a pathological susceptibility to infection because of unusual severity or intensity of the infection. []"}
{"STANDARD_NAME":"HP_SEVERE_VARICELLA_ZOSTER_INFECTION","SYSTEMATIC_NAME":"M41564","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0032170","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0032170","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Severe varicella zoster infection","DESCRIPTION_FULL":"An unusually severe form of varicella zoster virus (VZV) infection. In the majority of the cases, especially in children, varicella is a very mild infection characterised by skin lesions, low grade fever and malaise. Severe infection is characterized by manifestions including VZV pneumonia, hepatitis, meningitis, and disseminated varicella. [PMID:21748081, PMID:23248376]"}
{"STANDARD_NAME":"HP_ABNORMAL_CIRCULATING_GLOBULIN_LEVEL","SYSTEMATIC_NAME":"M38530","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0032179","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0032179","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal circulating globulin level","DESCRIPTION_FULL":"An abnormal concentration of globulins in the blood. Albumin makes up more than half of the total protein present in serum. The remaining blood proteins except albumin and fibrinogen (which is not in serum) are referred to as globulins. The globulin fraction includes hundreds of serum proteins including carrier proteins, enzymes, complement, and immunoglobulins. Most of these are synthesized in the liver, although the immunoglobulins are synthesized by plasma cells. Globulins are divided into four groups by electrophoresis. The four fractions are alpha1, alpha2, beta and gamma, depending on their migratory pattern between the anode and the cathode. []"}
{"STANDARD_NAME":"HP_ABNORMAL_CIRCULATING_METABOLITE_CONCENTRATION","SYSTEMATIC_NAME":"M38531","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0032180","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0032180","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal circulating metabolite concentration","DESCRIPTION_FULL":"An abnormal level of an analyte measured in the blood. []"}
{"STANDARD_NAME":"HP_ABNORMAL_CEREBROSPINAL_FLUID_METABOLITE_CONCENTRATION","SYSTEMATIC_NAME":"M38532","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0032207","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0032207","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal cerebrospinal fluid metabolite concentration","DESCRIPTION_FULL":"Any deviation from the normal concentration of a metabolite in cerebrospinal fluid. []"}
{"STANDARD_NAME":"HP_HYPOCHROMIA","SYSTEMATIC_NAME":"M38533","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0032231","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0032231","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypochromia","DESCRIPTION_FULL":"A qualitative impression that red blood cells have less color than normal when examined under a microscope, usually related to a reduced amount of hemoglobin in the red blood cells. []"}
{"STANDARD_NAME":"HP_ABNORMAL_TISSUE_METABOLITE_CONCENTRATION","SYSTEMATIC_NAME":"M38534","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0032243","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0032243","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal tissue metabolite concentration","DESCRIPTION_FULL":"Any deviation from the normal concentration of a metabolite in a tissue. []"}
{"STANDARD_NAME":"HP_ABNORMAL_METABOLISM","SYSTEMATIC_NAME":"M38535","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0032245","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0032245","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal metabolism","DESCRIPTION_FULL":"An abnormality in the function of the chemical reactions related to processes including conversion of food to enter, synthesis of proteins, lipids, nucleic acids, and carbohydrates, or the elimination of waste products. []"}
{"STANDARD_NAME":"HP_ABNORMAL_IMMUNE_SYSTEM_MORPHOLOGY","SYSTEMATIC_NAME":"M38536","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0032251","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0032251","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal immune system morphology"}
{"STANDARD_NAME":"HP_INCREASED_BLOOD_PRESSURE","SYSTEMATIC_NAME":"M38537","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0032263","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0032263","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased blood pressure","DESCRIPTION_FULL":"Abnormal increase in blood pressure. An individual measurement of increased blood pressure does not necessarily imply hypertension. In practical terms, multiple measurements are recommended to diagnose the presence of hypertension. [PMID:9137951]"}
{"STANDARD_NAME":"HP_ABNORMAL_GRANULOCYTE_COUNT","SYSTEMATIC_NAME":"M38538","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0032309","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0032309","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal granulocyte count","DESCRIPTION_FULL":"Any deviation from the normal cell count per volume of granulocytes in the blood circulation. []"}
{"STANDARD_NAME":"HP_REDUCED_FORCED_VITAL_CAPACITY","SYSTEMATIC_NAME":"M38539","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0032341","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0032341","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Reduced forced vital capacity","DESCRIPTION_FULL":"An abnormal reduction in the amount of air a person can expel following maximal insipiration. [PMID:22347750, PMID:24695507]"}
{"STANDARD_NAME":"HP_REDUCED_FORCED_EXPIRATORY_VOLUME_IN_ONE_SECOND","SYSTEMATIC_NAME":"M41565","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0032342","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0032342","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Reduced forced expiratory volume in one second"}
{"STANDARD_NAME":"HP_ABNORMAL_GROWTH_HORMONE_LEVEL","SYSTEMATIC_NAME":"M38540","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0032367","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0032367","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal growth hormone level","DESCRIPTION_FULL":"Any deviation from the normal level of growth hormone (GH) in the blood circulation. GH or somatotropin is a peptide hormone that stimulates growth, cell reproduction, and cell regeneration. Its secretion from the pituitary is regulated by the neurosecretory nuclei of the hypothalamus, which can release Growth hormone-releasing hormone (GHRH or somatocrinin) and Growth hormone-inhibiting hormone (GHIH or somatostatin) into the hypophyseal portal venous blood surrounding the pituitary. GH is secreted in a pulsatile manner, which is one of the reasons why an isolated measurement of its blood concentration is not meaningful. []"}
{"STANDARD_NAME":"HP_ACIDEMIA","SYSTEMATIC_NAME":"M38541","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0032368","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0032368","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Acidemia","DESCRIPTION_FULL":"An abnormally low blood pH (usually defined as less than 7.35). [PMID:24381489]"}
{"STANDARD_NAME":"HP_PERIVENTRICULAR_NODULAR_HETEROTOPIA","SYSTEMATIC_NAME":"M38542","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0032388","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0032388","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Periventricular nodular heterotopia","DESCRIPTION_FULL":"Nodules of heterotopia along the ventricular walls. There can be a single nodule or a large number of nodules, they can exist on either or both sides of the brain at any point along the higher ventricle margins, they can be small or large, single or multiple. [COST:neuromig, PMID:22427329]"}
{"STANDARD_NAME":"HP_SUBCORTICAL_HETEROTOPIA","SYSTEMATIC_NAME":"M38543","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0032391","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0032391","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Subcortical heterotopia","DESCRIPTION_FULL":"A form of heterotopia were the mislocalized gray matter is located deep within the white matter. [COST:neuromig]"}
{"STANDARD_NAME":"HP_ABNORMAL_C_REACTIVE_PROTEIN_LEVEL","SYSTEMATIC_NAME":"M41566","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0032436","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0032436","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal C-reactive protein level","DESCRIPTION_FULL":"Any deviation from the normal concentration of C-reactive protein in the blood circulation. []"}
{"STANDARD_NAME":"HP_PULMONARY_CYST","SYSTEMATIC_NAME":"M38544","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0032445","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0032445","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pulmonary cyst","DESCRIPTION_FULL":"A round circumscribed space within a lung that is surrounded by an epithelial or fibrous wall of variable thickness. A cyst usually has a thin and regular wall (less than 2 mm) and contains air, although some may contain fluid. [PMID:20028879]"}
{"STANDARD_NAME":"HP_ABNORMAL_PULSE","SYSTEMATIC_NAME":"M41567","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0032552","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0032552","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal pulse","DESCRIPTION_FULL":"An anomaly of the rhythmic throbbing of an artery that reflects the widening of the artery as blood flows through it and is caused by successive contractions of the heart. []"}
{"STANDARD_NAME":"HP_ABSENT_SPERM_FLAGELLA","SYSTEMATIC_NAME":"M38545","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0032558","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0032558","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Absent sperm flagella","DESCRIPTION_FULL":"Sperm cells lacking flagella. [PMID:30867909]"}
{"STANDARD_NAME":"HP_SHORT_SPERM_FLAGELLA","SYSTEMATIC_NAME":"M38546","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0032559","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0032559","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Short sperm flagella","DESCRIPTION_FULL":"Sperm cells with abnormally short flagella. [PMID:30867909]"}
{"STANDARD_NAME":"HP_TAPERED_SPERM_HEAD","SYSTEMATIC_NAME":"M41568","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0032562","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0032562","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Tapered sperm head","DESCRIPTION_FULL":"Sperm with cigar-shaped heads that gradually dimish in diameter (taper). [PMID:28692759]"}
{"STANDARD_NAME":"HP_HAND_APRAXIA","SYSTEMATIC_NAME":"M41569","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0032588","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0032588","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hand apraxia","DESCRIPTION_FULL":"Inability to perform purposeful (learned) movements with the hand upon command, even though the command is understood and there is a willingness to perform the movement. Hand apraxia includes the inability to grasp, pick up, and hold large and small objects. [PMID:20345957]"}
{"STANDARD_NAME":"HP_STATUS_EPILEPTICUS_WITH_PROMINENT_MOTOR_SYMPTOMS","SYSTEMATIC_NAME":"M38547","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0032658","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0032658","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Status epilepticus with prominent motor symptoms","DESCRIPTION_FULL":"Status epilepticus with prominent motor signs during the prolonged seizure. [ORCID:0000-0002-1735-8178, PMID:26336950]"}
{"STANDARD_NAME":"HP_NON_CONVULSIVE_STATUS_EPILEPTICUS_WITHOUT_COMA","SYSTEMATIC_NAME":"M41570","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0032671","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0032671","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Non-convulsive status epilepticus without coma","DESCRIPTION_FULL":"A type of status epilepticus without prominent motor symptoms in the absence of coma. [ORCID:0000-0002-1735-8178, PMID:26336950]"}
{"STANDARD_NAME":"HP_GENERALIZED_ONSET_MOTOR_SEIZURE","SYSTEMATIC_NAME":"M38548","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0032677","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0032677","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Generalized-onset motor seizure","DESCRIPTION_FULL":"A generalized motor seizure is a type of generalized-onset seizure with predominantly motor (involving musculature) signs. The motor event could consist of an increase (positive) or decrease (negative) in muscle contraction to produce a movement. [PMID:11580774, PMID:28276060, PMID:28276064]"}
{"STANDARD_NAME":"HP_FOCAL_NON_MOTOR_SEIZURE","SYSTEMATIC_NAME":"M38549","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0032679","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0032679","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Focal non-motor seizure","DESCRIPTION_FULL":"A type of focal-onset seizure characterized by non-motor signs or symptoms (or behaviour arrest) as its initial semiological manifestation. [PMID:28276060, PMID:28276064]"}
{"STANDARD_NAME":"HP_TONIC_SEIZURE","SYSTEMATIC_NAME":"M38550","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0032792","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0032792","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Tonic seizure","DESCRIPTION_FULL":"A tonic seizure is a type of motor seizure characterised by unilateral or bilateral limb stiffening or elevation, often with neck stiffening. [PMID:11580774]"}
{"STANDARD_NAME":"HP_MYOCLONIC_SEIZURE","SYSTEMATIC_NAME":"M38551","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0032794","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0032794","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Myoclonic seizure","DESCRIPTION_FULL":"A myoclonic seizure is a type of motor seizure characterised by sudden, brief (<100 ms) involuntary single or multiple contraction of muscles or muscle groups of variable topography (axial, proximal limb, distal). Myoclonus is less regularly repetitive and less sustained than is clonus. [PMID:11580774]"}
{"STANDARD_NAME":"HP_INFECTION_RELATED_SEIZURE","SYSTEMATIC_NAME":"M38553","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0032892","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0032892","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Infection-related seizure","DESCRIPTION_FULL":"Seizure associated with a presumed or proven infection (excluding infection of the central nervous system) or inflammatory state without an alternative precipitant such as metabolic derangement, and regardless of the presence or absence of a fever. [PMID:28276060]"}
{"STANDARD_NAME":"HP_ABNORMAL_URINE_PH","SYSTEMATIC_NAME":"M38554","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0032943","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0032943","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal urine pH","DESCRIPTION_FULL":"A deviation of urine pH from the normal range of 4.5 to 7.8. []"}
{"STANDARD_NAME":"HP_ABNORMAL_BRONCHOALVEOLAR_LAVAGE_FLUID_MORPHOLOGY","SYSTEMATIC_NAME":"M38555","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0032973","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0032973","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal bronchoalveolar lavage fluid morphology","DESCRIPTION_FULL":"Abnormal type or counts of nucleated immune cells and acellular components in bronchoalveolar lavage (BAL) fluid. BAL us performed with a fiberoptic bronchoscope in the wedged position within a selected bronchopulmonary segment. BAL is commonly used to inform the differential diagnosis of interstitial lung disease or to monitor therapeutic interventions. [LMU:mgriese]"}
{"STANDARD_NAME":"HP_ABNORMAL_CELLULAR_COMPOSITION_OF_BRONCHOALVEOLAR_FLUID","SYSTEMATIC_NAME":"M41571","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0032974","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0032974","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal cellular composition of bronchoalveolar fluid","DESCRIPTION_FULL":"Deviation from the commonly in healthy people observe cellular distribution. Normal ranghes are macrophages over 80%, lymphocytes less than 15%, neutrophils less than 3%, eosinophils less than 0.5%, mast cells less than 0.5%. [ISBN:0412792702, LMU:mgriese, PMID:10678650, PMID:3396403]"}
{"STANDARD_NAME":"HP_MALE_REPRODUCTIVE_SYSTEM_NEOPLASM","SYSTEMATIC_NAME":"M38556","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0033019","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0033019","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Male reproductive system neoplasm","DESCRIPTION_FULL":"A neoplasm that affects the male reproductive system. []"}
{"STANDARD_NAME":"HP_FEMALE_REPRODUCTIVE_SYSTEM_NEOPLASM","SYSTEMATIC_NAME":"M38557","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0033020","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0033020","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Female reproductive system neoplasm","DESCRIPTION_FULL":"A neoplasm that affects the female reproductive system. []"}
{"STANDARD_NAME":"HP_PSYCHOGENIC_NON_EPILEPTIC_SEIZURE","SYSTEMATIC_NAME":"M38558","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0033052","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0033052","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Psychogenic non-epileptic seizure","DESCRIPTION_FULL":"Psychogenic non-epileptic seizures (PNES) are an important cause of apparently treatment-resistant epilepsy and remain a major diagnostic challenge in epileptology. The two main PNES groups are panic disorder (also occurring as a reaction in people with epilepsy) and dissociative disorder (pseudoseizure), often developing inpatients with no history of epilepsy. The main markers distinguishing PNES from epileptic seizures are (i) the way the patient tells the story (not focusing on the seizure symptoms, avoidance of the word seizure, etc); (ii) that they are prolonged (many minutes); (iii) associated with hyperventilation and eyes closed; and that they present as treatment-resistant epilepsy despite an often normal intellect and brain imaging. []"}
{"STANDARD_NAME":"HP_DECREASED_SERUM_TERMINAL_COMPLEMENT_COMPONENT","SYSTEMATIC_NAME":"M41572","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0033057","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0033057","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased serum terminal complement component","DESCRIPTION_FULL":"Reduced level of one or more components of the the terminal membrane attack complex (MAC) portion of complement, which represents the lytic, pore-forming part of the system. The MAC comprises seven components: C5b, C6, C7, C8 (a heterotrimer composed of C8alpha, C8beta and C8gamma) and multiple copies of C9. [PMID:26841934]"}
{"STANDARD_NAME":"HP_ABNORMAL_FACTOR_IX_ACTIVITY","SYSTEMATIC_NAME":"M38559","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0033062","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0033062","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal factor IX activity","DESCRIPTION_FULL":"Abnormal activity of coagulation factor IX. Factor IX, which itself is activated by factor Xa or factor VIIa to form factor IXa, activates factor X into factor Xa. []"}
{"STANDARD_NAME":"HP_ABNORMAL_MACROSCOPIC_URINE_APPEARANCE","SYSTEMATIC_NAME":"M38560","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0033072","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0033072","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal macroscopic urine appearance","DESCRIPTION_FULL":"Anomalous physical appearance (color, cloudiness, clarity) or odor of urine. []"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_THYROID_GLAND","SYSTEMATIC_NAME":"M38561","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0033079","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0033079","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the thyroid gland","DESCRIPTION_FULL":"Absence or underdevelopment of the thyroid gland. []"}
{"STANDARD_NAME":"HP_INCREASED_SULFUR_AMINO_ACID_LEVEL_IN_URINE","SYSTEMATIC_NAME":"M41573","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0033095","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0033095","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased sulfur amino acid level in urine"}
{"STANDARD_NAME":"HP_INCREASED_ASPARTATE_FAMILY_AMINO_ACID_LEVEL_IN_URINE","SYSTEMATIC_NAME":"M41574","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0033096","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0033096","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased aspartate family amino acid level in urine"}
{"STANDARD_NAME":"HP_INCREASED_URINE_PROTEINOGENIC_AMINO_ACID_DERIVATIVE_LEVEL","SYSTEMATIC_NAME":"M41575","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0033097","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0033097","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased urine proteinogenic amino acid derivative level","DESCRIPTION_FULL":"An elevated urine level of a compound that is derived from an amino acid. []"}
{"STANDARD_NAME":"HP_INCREASED_URINARY_NON_PROTEINOGENIC_AMINO_ACID_LEVEL","SYSTEMATIC_NAME":"M41576","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0033098","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0033098","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased urinary non-proteinogenic amino acid level","DESCRIPTION_FULL":"An increased level in the urine of an alpha-amino acid which is not a member of the group of 23 proteinogenic amino acids. []"}
{"STANDARD_NAME":"HP_INCREASED_SERINE_FAMILY_AMINO_ACID_IN_URINE","SYSTEMATIC_NAME":"M41577","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0033099","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0033099","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased serine family amino acid in urine","DESCRIPTION_FULL":"An increased level of a serine family amino acid in the urine. []"}
{"STANDARD_NAME":"HP_INCREASED_PROTEINOGENIC_AMINO_ACID_LEVEL_IN_URINE","SYSTEMATIC_NAME":"M41578","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0033100","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0033100","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased proteinogenic amino acid level in urine","DESCRIPTION_FULL":"An elevated level of a proteinogenic amino acid in the urine. These are the 23 alpha-amino acids that are precursors to proteins, and are incorporated into proteins during translation. The group includes the 20 amino acids encoded by the nuclear genes of eukaryotes together with selenocysteine, pyrrolysine, and N-formylmethionine. []"}
{"STANDARD_NAME":"HP_ABNORMAL_CIRCULATING_PROTEINOGENIC_AMINO_ACID_CONCENTRATION","SYSTEMATIC_NAME":"M41579","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0033107","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0033107","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal circulating proteinogenic amino acid concentration","DESCRIPTION_FULL":"An elevated level of a proteinogenic amino acid in the blood circulation. These are the 23 alpha-amino acids that are precursors to proteins, and are incorporated into proteins during translation. The group includes the 20 amino acids encoded by the nuclear genes of eukaryotes together with selenocysteine, pyrrolysine, and N-formylmethionine. []"}
{"STANDARD_NAME":"HP_ABNORMAL_CIRCULATING_PROTEINOGENIC_AMINO_ACID_DERIVATIVE_CONCENTRATION","SYSTEMATIC_NAME":"M41580","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0033108","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0033108","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal circulating proteinogenic amino acid derivative concentration","DESCRIPTION_FULL":"Any deviation from the normal concentration in the blood circulation of a compound that is derived from an amino acid. []"}
{"STANDARD_NAME":"HP_ABNORMAL_CIRCULATING_NON_PROTEINOGENIC_AMINO_ACID_CONCENTRATION","SYSTEMATIC_NAME":"M41581","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0033109","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0033109","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal circulating non-proteinogenic amino acid concentration","DESCRIPTION_FULL":"Any deviation from the normal concentration in the blood circulation of an alpha-amino acid which is not a member of the group of 23 proteinogenic amino acids. []"}
{"STANDARD_NAME":"HP_ABNORMAL_RIGHT_VENTRICULAR_FUNCTION","SYSTEMATIC_NAME":"M41582","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0033118","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0033118","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal right ventricular function","DESCRIPTION_FULL":"Anomalous physiology (function) of the right ventricle. []"}
{"STANDARD_NAME":"HP_ABNORMAL_SHOULDER_PHYSIOLOGY","SYSTEMATIC_NAME":"M41583","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0033129","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0033129","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal shoulder physiology","DESCRIPTION_FULL":"Anopmalous function of the shoulder. The shoulder is a ball-and-socket joint that is made up of humerus, scapula and clavicle, which are connected by the sternoclavicular joint (SC), the acromioclavicular joint (AC), the glenohumeral joint (GH), and the scapulothoracic joint (ST). The GH, AC and SC joints link the upper extremity to the axial skeleton at the thorax and enable movement at the shoulder joint: flexion, extension, and rotation of the arm. []"}
{"STANDARD_NAME":"HP_ABNORMAL_RENAL_ECHOGENICITY","SYSTEMATIC_NAME":"M41584","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0033130","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0033130","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal renal echogenicity","DESCRIPTION_FULL":"Anomalous echogenicity of the kidney on ultrasound examination. [PMID:24235286]"}
{"STANDARD_NAME":"HP_ABNORMAL_CIRCULATING_CERULOPLASMIN_CONCENTRATION","SYSTEMATIC_NAME":"M41585","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0033144","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0033144","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal circulating ceruloplasmin concentration","DESCRIPTION_FULL":"Any deviation of the concentration of ceruloplasmin in the blood from the normal range. [PMID:32119309]"}
{"STANDARD_NAME":"HP_ABNORMAL_PHARYNX_MORPHOLOGY","SYSTEMATIC_NAME":"M41586","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0033151","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0033151","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal pharynx morphology","DESCRIPTION_FULL":"A structural anomaly of the pharynx. []"}
{"STANDARD_NAME":"HP_DECREASED_CD4_CD8_RATIO","SYSTEMATIC_NAME":"M41587","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0033222","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0033222","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased CD4:CD8 ratio","DESCRIPTION_FULL":"An abnormal reduction of the relative proportion of CD4+ to CD8+ T cells. [PMID:29095912]"}
{"STANDARD_NAME":"HP_NON_MOTOR_SEIZURE","SYSTEMATIC_NAME":"M41588","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0033259","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0033259","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Non-motor seizure","DESCRIPTION_FULL":"A seizure with clinical manifestation but without motor signs (other than possible behavior arrest) as its initial clinical manifestation. The electrographic onset may be generalized, focal, or unknown. [PMID:2827606, PMID:28276060]"}
{"STANDARD_NAME":"HP_ABNORMAL_GLOMERULAR_BASEMENT_MEMBRANE_MORPHOLOGY","SYSTEMATIC_NAME":"M41589","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0033282","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0033282","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal glomerular basement membrane morphology","DESCRIPTION_FULL":"Any abnormal sttructure of the glomerular basement membrane. [PMID:29435440]"}
{"STANDARD_NAME":"HP_ACUTE_PHASE_RESPONSE","SYSTEMATIC_NAME":"M41590","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0033331","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0033331","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Acute phase response","DESCRIPTION_FULL":"Presence of one or more manifestations of the acute phase response. Acute phase proteins (APP) are blood proteins primarily synthesized by hepatocytes as part of the acute phase response (APR). The APR is part of the early-defense or innate immune system, which is triggered by different stimuli including trauma, infection, stress, neoplasia, and inflammation. The APR results in a complex systemic reaction with the goal of reestablishing homeostasis and promoting healing. [PMID:20034426]"}
{"STANDARD_NAME":"HP_NEURALGIA","SYSTEMATIC_NAME":"M41591","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0033345","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0033345","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neuralgia","DESCRIPTION_FULL":"Pain (An unpleasant sensory and emotional experience) along the course of a nerve. []"}
{"STANDARD_NAME":"HP_EPILEPTIC_AURA","SYSTEMATIC_NAME":"M41592","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0033348","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0033348","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Epileptic aura","DESCRIPTION_FULL":"An epileptic aura is a purely subjective clinical manifestation of an epileptic seizure. If an epileptic aura is not followed by loss of awareness or propagation to a bilateral tonic-clonic seizure then it is a type of focal aware non-motor seizure. []"}
{"STANDARD_NAME":"HP_ABNORMAL_URINE_METABOLITE_LEVEL","SYSTEMATIC_NAME":"M41593","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0033354","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0033354","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal urine metabolite level","DESCRIPTION_FULL":"Any deviation from the normal concentration of a metabolite in urine. []"}
{"STANDARD_NAME":"HP_ABNORMAL_URINE_OSMOLALITY","SYSTEMATIC_NAME":"M41594","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0033358","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0033358","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal urine osmolality","DESCRIPTION_FULL":"A deviation from the normal range of concentration of particles in urine. []"}
{"STANDARD_NAME":"HP_TISSUE_ISCHEMIA","SYSTEMATIC_NAME":"M41595","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0033401","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0033401","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Tissue ischemia","DESCRIPTION_FULL":"Ischemia is defined as a restriction of arterial blood supply to a tissue associated with insufficient oxygenation to support the metabolis requirements of the tissue. Depending on the involved tissues, clinical manifestations may include pain, pallor, lack of pulse, coldness, paresthesia, and paralysis. Additional associated manifestations include hemodynamic parameters (reduced blood pressure distal to the site of restricted arterial supply) and angiographic evidence of arterial occclusion. [PMID:10720362, PMID:26858079]"}
{"STANDARD_NAME":"HP_NEUROINFLAMMATION","SYSTEMATIC_NAME":"M41596","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0033429","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0033429","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neuroinflammation","DESCRIPTION_FULL":"Activation of the brain's innate immune system in response to an inflammatory challenge and is characterized by a host of cellular and molecular changes within the brain. []"}
{"STANDARD_NAME":"HP_TUBE_FEEDING","SYSTEMATIC_NAME":"M41597","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0033454","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0033454","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Tube feeding","DESCRIPTION_FULL":"Feeding problem necessitating food and nutrient delivery via a tube. [PMID:25874832, PMID:28044031]"}
{"STANDARD_NAME":"HP_ABNORMAL_CIRCULATING_BILIRUBIN_CONCENTRATION","SYSTEMATIC_NAME":"M41598","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0033479","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0033479","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal circulating bilirubin concentration"}
{"STANDARD_NAME":"HP_PRE_CAPILLARY_PULMONARY_HYPERTENSION","SYSTEMATIC_NAME":"M41599","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0033578","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0033578","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pre-capillary pulmonary hypertension","DESCRIPTION_FULL":"Pre-capillary pulmonary hypertension is a haemodynamic condition characterised by elevated mean pulmonary artery pressure (mPAP over 20 mmHg) and pulmonary vascular resistance (PVR 3 Wood units or more) accompanied by normal pulmonary artery wedge pressure (PAWP not more than 15 mmHg). [ORCID:0000-0002-4095-8489, PMID:30545968]"}
{"STANDARD_NAME":"HP_MORTALITY_AGING","SYSTEMATIC_NAME":"M38562","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040006","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040006","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Mortality/Aging"}
{"STANDARD_NAME":"HP_CHROMOSOME_BREAKAGE","SYSTEMATIC_NAME":"M38563","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040012","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040012","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Chromosome breakage","DESCRIPTION_FULL":"Elevated rate of chromosomal breakage or interchanges occurring either spontaneously or following exposure to various DNA-damaging agents. This feature may be assayed by treatment of cultured lymphocytes with agents such as chemical mutagens, irradiation, and alkylating agents. [HPO:probinson, PMID:12407692]"}
{"STANDARD_NAME":"HP_PROMINENT_COCCYX","SYSTEMATIC_NAME":"M38564","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040016","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040016","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Prominent coccyx"}
{"STANDARD_NAME":"HP_FINGER_CLINODACTYLY","SYSTEMATIC_NAME":"M38565","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040019","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040019","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Finger clinodactyly"}
{"STANDARD_NAME":"HP_CLINODACTYLY_OF_THE_2ND_FINGER","SYSTEMATIC_NAME":"M41600","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040022","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040022","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Clinodactyly of the 2nd finger"}
{"STANDARD_NAME":"HP_CLINODACTYLY_OF_THE_3RD_FINGER","SYSTEMATIC_NAME":"M41601","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040024","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040024","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Clinodactyly of the 3rd finger"}
{"STANDARD_NAME":"HP_CLINODACTYLY_OF_THE_4TH_FINGER","SYSTEMATIC_NAME":"M41602","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040025","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040025","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Clinodactyly of the 4th finger"}
{"STANDARD_NAME":"HP_CHORIORETINAL_HYPOPIGMENTATION","SYSTEMATIC_NAME":"M41603","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040030","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040030","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Chorioretinal hypopigmentation"}
{"STANDARD_NAME":"HP_ONYCHOGRYPOSIS_OF_FINGERNAIL","SYSTEMATIC_NAME":"M41604","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040036","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040036","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Onychogryposis of fingernail","DESCRIPTION_FULL":"Thickened fingernails. []"}
{"STANDARD_NAME":"HP_DECREASED_ADIPOSE_TISSUE","SYSTEMATIC_NAME":"M38566","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040063","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040063","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased adipose tissue"}
{"STANDARD_NAME":"HP_ABNORMAL_LOWER_LIMB_BONE_MORPHOLOGY","SYSTEMATIC_NAME":"M38567","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040069","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040069","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal lower limb bone morphology"}
{"STANDARD_NAME":"HP_ABNORMAL_UPPER_LIMB_BONE_MORPHOLOGY","SYSTEMATIC_NAME":"M38568","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040070","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040070","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal upper limb bone morphology"}
{"STANDARD_NAME":"HP_ABNORMAL_FOREARM_BONE_MORPHOLOGY","SYSTEMATIC_NAME":"M38569","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040073","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040073","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal forearm bone morphology"}
{"STANDARD_NAME":"HP_HYPOPITUITARISM","SYSTEMATIC_NAME":"M38570","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040075","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040075","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypopituitarism"}
{"STANDARD_NAME":"HP_AXONAL_DEGENERATION","SYSTEMATIC_NAME":"M38571","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040078","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040078","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Axonal degeneration"}
{"STANDARD_NAME":"HP_IRREGULAR_DENTITION","SYSTEMATIC_NAME":"M38572","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040079","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040079","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Irregular dentition"}
{"STANDARD_NAME":"HP_ANTEVERTED_EARS","SYSTEMATIC_NAME":"M38573","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040080","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040080","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Anteverted ears"}
{"STANDARD_NAME":"HP_HAPPY_DEMEANOR","SYSTEMATIC_NAME":"M38574","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040082","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040082","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Happy demeanor","DESCRIPTION_FULL":"A conspicuously happy disposition with frequent smiling and laughing that may be context-inappropriate or unrelated to context. [PMID:18830393]"}
{"STANDARD_NAME":"HP_TOE_WALKING","SYSTEMATIC_NAME":"M38575","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040083","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040083","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Toe walking"}
{"STANDARD_NAME":"HP_ABNORMAL_CIRCULATING_RENIN","SYSTEMATIC_NAME":"M41605","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040084","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040084","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal circulating renin","DESCRIPTION_FULL":"A deviation from the normal concentration of renin in the blood, a central hormone in the control of blood pressure and various other physiological functions. [PMID:12949225]"}
{"STANDARD_NAME":"HP_ABNORMAL_CIRCULATING_ALDOSTERONE","SYSTEMATIC_NAME":"M38576","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040085","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040085","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal circulating aldosterone"}
{"STANDARD_NAME":"HP_ABNORMAL_PROLACTIN_LEVEL","SYSTEMATIC_NAME":"M38577","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040086","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040086","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal prolactin level"}
{"STANDARD_NAME":"HP_NEOPLASM_OF_THE_INNER_EAR","SYSTEMATIC_NAME":"M41606","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040096","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040096","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neoplasm of the inner ear","DESCRIPTION_FULL":"A tumor (abnormal growth of tissue) of the inner ear. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_EUSTACHIAN_TUBE","SYSTEMATIC_NAME":"M38579","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040115","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040115","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the Eustachian tube"}
{"STANDARD_NAME":"HP_ABNORMAL_VITAMIN_B12_LEVEL","SYSTEMATIC_NAME":"M38580","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040126","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040126","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal vitamin B12 level","DESCRIPTION_FULL":"A deviation from the normal concentration of cobalamin (vitamin B12) in the blood. Vitamin B12 is one of the eight B vitamins. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_SWEAT_HOMEOSTASIS","SYSTEMATIC_NAME":"M38581","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040127","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040127","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal sweat homeostasis","DESCRIPTION_FULL":"An abnormality of the composition of sweat or the levels of its components. []"}
{"STANDARD_NAME":"HP_ABNORMAL_NERVE_CONDUCTION_VELOCITY","SYSTEMATIC_NAME":"M38582","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040129","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040129","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal nerve conduction velocity"}
{"STANDARD_NAME":"HP_ABNORMAL_SERUM_IRON_CONCENTRATION","SYSTEMATIC_NAME":"M38583","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040130","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040130","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal serum iron concentration"}
{"STANDARD_NAME":"HP_ABNORMAL_MOTOR_NERVE_CONDUCTION_VELOCITY","SYSTEMATIC_NAME":"M38584","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040131","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040131","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal motor nerve conduction velocity"}
{"STANDARD_NAME":"HP_ABNORMAL_SENSORY_NERVE_CONDUCTION_VELOCITY","SYSTEMATIC_NAME":"M38585","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040132","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040132","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal sensory nerve conduction velocity"}
{"STANDARD_NAME":"HP_ABNORMAL_CIRCULATING_FERRITIN_CONCENTRATION","SYSTEMATIC_NAME":"M38586","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040133","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040133","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal circulating ferritin concentration","DESCRIPTION_FULL":"A deviation from the normal circulating concentration of ferritin. Ferritin concentration can be measured in serum or plasma. [HPO:probinson, PMID:29723227]"}
{"STANDARD_NAME":"HP_ABNORMAL_HEPATIC_IRON_CONCENTRATION","SYSTEMATIC_NAME":"M38587","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040134","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040134","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal hepatic iron concentration"}
{"STANDARD_NAME":"HP_ABNORMAL_TRANSFERRIN_SATURATION","SYSTEMATIC_NAME":"M38588","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040135","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040135","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal transferrin saturation","DESCRIPTION_FULL":"Any abnormality in the serum transferrin saturation, which is calculated by dividing the serum iron level by total iron-binding capacity. [PMID:15083853]"}
{"STANDARD_NAME":"HP_DEGENERATION_OF_THE_STRIATUM","SYSTEMATIC_NAME":"M38589","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040140","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040140","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Degeneration of the striatum"}
{"STANDARD_NAME":"HP_CORTICAL_MYOCLONUS","SYSTEMATIC_NAME":"M41607","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040148","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040148","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cortical myoclonus","DESCRIPTION_FULL":"Cortical myoclonus mainly affects the distal upper limbs and face, which reflects the largest cortical representations of these body areas. It is often focal, but may be multifocal, bilateral or generalized, as a consequence of intracortical and transcallosal spreading of abnormal activity. It typically occurs on voluntary action and may affect speech and gait. Cortical myoclonic jerks are stimulus sensitive, typically to touch, but sensitivity to visual stimuli is also described. Most patients with cortical myoclonus have both positive myoclonus and NM, occurring either independently or together as a complex of the two kinds of myoclonus. If cortical myoclonus is prolonged and lasts for hours, days or weeks, it is called epilepsia partials continua and is considered to be a rare form of focal epileptic status. Focal cortical myoclonus almost always points to an underlining lesion of the sensori-motor cortex, which produces hyperexcitability (e.g. vascular, inflammatory or neoplastic). [PMID:21339907]"}
{"STANDARD_NAME":"HP_ACNE_INVERSA","SYSTEMATIC_NAME":"M38590","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040154","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040154","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Acne inversa","DESCRIPTION_FULL":"A chronic skin condition involving the inflammation of the apocrine sweat glands, forming pimple-like bumps known as abscesses. [https://www.news-medical.net/health/What-is-Hidradenitis-suppurativa-(acne-inversa).aspx]"}
{"STANDARD_NAME":"HP_ELEVATED_URINARY_CARBOXYLIC_ACID","SYSTEMATIC_NAME":"M38591","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040156","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040156","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Elevated urinary carboxylic acid","DESCRIPTION_FULL":"An increased amount of carboxylic acid in the urine. []"}
{"STANDARD_NAME":"HP_ABNORMAL_SPACED_INCISORS","SYSTEMATIC_NAME":"M38592","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040159","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040159","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal spaced incisors"}
{"STANDARD_NAME":"HP_GENERALIZED_OSTEOPOROSIS","SYSTEMATIC_NAME":"M38593","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040160","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040160","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Generalized osteoporosis"}
{"STANDARD_NAME":"HP_ORTHOKERATOSIS","SYSTEMATIC_NAME":"M38594","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040162","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040162","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Orthokeratosis","DESCRIPTION_FULL":"Formation of an anuclear keratin layer []"}
{"STANDARD_NAME":"HP_ABNORMAL_PELVIS_BONE_MORPHOLOGY","SYSTEMATIC_NAME":"M38595","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040163","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040163","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal pelvis bone morphology"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_PERIOSTEUM","SYSTEMATIC_NAME":"M38596","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040166","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040166","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the periosteum"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_HAIR_GROWTH","SYSTEMATIC_NAME":"M38597","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040170","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040170","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of hair growth"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_TONGUE_MUSCLE","SYSTEMATIC_NAME":"M38598","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040173","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040173","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the tongue muscle"}
{"STANDARD_NAME":"HP_MACROTHROMBOCYTOPENIA","SYSTEMATIC_NAME":"M38599","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040185","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040185","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Macrothrombocytopenia"}
{"STANDARD_NAME":"HP_MACULOPAPULAR_EXANTHEMA","SYSTEMATIC_NAME":"M38600","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040186","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040186","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Maculopapular exanthema","DESCRIPTION_FULL":"A skin rash that is characterized by diffuse cutaneous erythema with areas of skin elevation. It may evolve to vesicles or papules as part of a more severe clinical entity. Different degrees of angioedema with involvement of subcutaneous tissue may also appear. [PMID:19398898]"}
{"STANDARD_NAME":"HP_OSTEOCHONDROSIS","SYSTEMATIC_NAME":"M38601","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040188","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040188","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Osteochondrosis","DESCRIPTION_FULL":"Abnormal growth ossification centers in children. Initially a degeneration/ necrosis followed by regeneration or recalcification. []"}
{"STANDARD_NAME":"HP_SCALING_SKIN","SYSTEMATIC_NAME":"M38602","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040189","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040189","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Scaling skin","DESCRIPTION_FULL":"Refers to the loss of the outer layer of the epidermis in large, scale-like flakes. []"}
{"STANDARD_NAME":"HP_INCREASED_HEAD_CIRCUMFERENCE","SYSTEMATIC_NAME":"M38603","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040194","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040194","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased head circumference","DESCRIPTION_FULL":"An abnormally increased head circumference in a growing child. Head circumference is measured with a nonelastic tape and comprises the distance from above the eyebrows and ears and around the back of the head. The measured HC is then plotted on an appropriate growth chart. []"}
{"STANDARD_NAME":"HP_DECREASED_HEAD_CIRCUMFERENCE","SYSTEMATIC_NAME":"M38604","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040195","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040195","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased head circumference","DESCRIPTION_FULL":"An abnormally reduced head circumference in a growing child. Head circumference is measured with a nonelastic tape and comprises the distance from above the eyebrows and ears and around the back of the head. The measured HC is then plotted on an appropriate growth chart. Microcephaly is defined as a head circumference (HC) that is great than two standard deviations below the mean of age- and gender-matched population based samples. Severe microcephaly is defined with an HC that is three standard deviations below the mean. [PMID:26505062]"}
{"STANDARD_NAME":"HP_MILD_MICROCEPHALY","SYSTEMATIC_NAME":"M38605","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040196","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040196","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Mild microcephaly","DESCRIPTION_FULL":"Decreased occipito-frontal (head) circumference (OFC). For the microcephaly OFC must be between -3 SD and -2 SD compared to appropriate, age matched, normal standards (i.e. -3 SD <= OFC < -2 SD). []"}
{"STANDARD_NAME":"HP_ENCEPHALOMALACIA","SYSTEMATIC_NAME":"M38606","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040197","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040197","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Encephalomalacia","DESCRIPTION_FULL":"Encephalomalacia is the softening or loss of brain tissue after cerebral infarction, cerebral ischemia, infection, craniocerebral trauma, or other injury. [PhenoTips:CHum]"}
{"STANDARD_NAME":"HP_NON_MEDULLARY_THYROID_CARCINOMA","SYSTEMATIC_NAME":"M38607","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040198","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040198","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Non-medullary thyroid carcinoma"}
{"STANDARD_NAME":"HP_ABNORMAL_CONSUMPTION_BEHAVIOR","SYSTEMATIC_NAME":"M38608","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040202","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040202","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal consumption behavior"}
{"STANDARD_NAME":"HP_ABNORMAL_SKIN_MORPHOLOGY_OF_THE_PALM","SYSTEMATIC_NAME":"M38609","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040211","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040211","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal skin morphology of the palm","DESCRIPTION_FULL":"An abnormality of the skin of the palm, that is, the skin of the front of the hand. []"}
{"STANDARD_NAME":"HP_ABNORMAL_INSULIN_LEVEL","SYSTEMATIC_NAME":"M38610","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040214","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040214","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal insulin level","DESCRIPTION_FULL":"An abnormal concentration of insulin in the body. []"}
{"STANDARD_NAME":"HP_HYPOINSULINEMIA","SYSTEMATIC_NAME":"M38611","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040216","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040216","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypoinsulinemia","DESCRIPTION_FULL":"A decreased concentration of insulin in the blood. []"}
{"STANDARD_NAME":"HP_ELEVATED_HEMOGLOBIN_A1C","SYSTEMATIC_NAME":"M38612","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040217","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040217","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Elevated hemoglobin A1c","DESCRIPTION_FULL":"An increased concentration of hemoglobin A1c (HbA1c), which is the product of nonenzymatic attachment of a hexose molecule to the N-terminal amino acid of the hemoglobin molecule. This reaction is dependent on blood glucose concentration, and therefore reflects the mean glucose concentration over the previous 8 to 12 weeks. The HbA1c level provides a better indication of long-term glycemic control than one-time blood or urinary glucose measurements. [HPO:probinson, PMID:20042774]"}
{"STANDARD_NAME":"HP_REDUCED_NATURAL_KILLER_CELL_COUNT","SYSTEMATIC_NAME":"M41608","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040218","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040218","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Reduced natural killer cell count","DESCRIPTION_FULL":"Less than normal number of natural killer cells, a type of lymphocyte in the innate immune system with an ability to mediate cytotoxicity and produce cytokines after the ligation of a germline-encoded activation receptor. [HPO:probinson, PMID:23993353]"}
{"STANDARD_NAME":"HP_PULMONARY_HEMORRHAGE","SYSTEMATIC_NAME":"M38613","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040223","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040223","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pulmonary hemorrhage","DESCRIPTION_FULL":"Pulmonary hemorrhage is a bleeding within the lungs. Older children and adults may spit blood or bloody sputum. Neonates, infants and young children usually do not spit up blood. Anemia, pulmonary infiltrates, increasingling bloody return on BAL and the presence of hemosiderin-laden macrophages in broncho-alveolar lavage (BAL) fluid or lung biopsy can diagnose lung bleeding. Alveolar macrophages contain phagocytosed red blood cells and stain positive for hemosiderin, a product of hemoglobin degradation, after about 48-72 hours following pulmonary hemorraghe. Previous or recurrent bleeding can thus be distinguished from fresh events. A differentiation into local or diffuse is of importance. Also differentiate if pulmonary hemorrhage is due to a primary lung disorder or a manifestation of a systemic disease. [PMID:16473816]"}
{"STANDARD_NAME":"HP_ABNORMAL_SIZE_OF_THE_CLITORIS","SYSTEMATIC_NAME":"M38614","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040252","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040252","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal size of the clitoris"}
{"STANDARD_NAME":"HP_IMPAIRED_GLUCOSE_TOLERANCE","SYSTEMATIC_NAME":"M38615","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040270","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040270","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Impaired glucose tolerance","DESCRIPTION_FULL":"An abnormal resistance to glucose, i.e., a reduction in the ability to maintain glucose levels in the blood stream within normal limits following oral or intravenous administration of glucose. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ADENOCARCINOMA_OF_THE_INTESTINES","SYSTEMATIC_NAME":"M38616","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040273","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040273","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Adenocarcinoma of the intestines","DESCRIPTION_FULL":"A malignant epithelial tumor with a glandular organization that originates in the intestines. []"}
{"STANDARD_NAME":"HP_ADENOCARCINOMA_OF_THE_LARGE_INTESTINE","SYSTEMATIC_NAME":"M38617","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040275","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040275","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Adenocarcinoma of the large intestine","DESCRIPTION_FULL":"A malignant epithelial tumor with a glandular organization that originates in the large intestine. []"}
{"STANDARD_NAME":"HP_NEOPLASM_OF_THE_PITUITARY_GLAND","SYSTEMATIC_NAME":"M38619","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040277","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040277","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neoplasm of the pituitary gland"}
{"STANDARD_NAME":"HP_NASOGASTRIC_TUBE_FEEDING","SYSTEMATIC_NAME":"M38620","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040288","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040288","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Nasogastric tube feeding","DESCRIPTION_FULL":"The condition of inability to eat normally treated by placement of a thin tube through the nose into the stomach that is then used to carry food. [PMID:25874832]"}
{"STANDARD_NAME":"HP_DECREASED_SERUM_IRON","SYSTEMATIC_NAME":"M38621","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040303","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040303","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased serum iron"}
{"STANDARD_NAME":"HP_MALE_SEXUAL_DYSFUNCTION","SYSTEMATIC_NAME":"M38622","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040307","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040307","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Male sexual dysfunction","DESCRIPTION_FULL":"A problem occurring during any phase of the male sexual response cycle that prevents the individual from experiencing satisfaction from the sexual activity [PMID:29532805]"}
{"STANDARD_NAME":"HP_DARK_URINE","SYSTEMATIC_NAME":"M41609","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040319","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040319","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Dark urine","DESCRIPTION_FULL":"An abnormal dark color of the urine. []"}
{"STANDARD_NAME":"HP_HYPOPLASIA_OF_THE_OLFACTORY_BULB","SYSTEMATIC_NAME":"M41610","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040326","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040326","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypoplasia of the olfactory bulb","DESCRIPTION_FULL":"Underdevelopment of the olfactory bulb. [HPO:skoehler]"}
{"STANDARD_NAME":"HP_ABNORMAL_MORPHOLOGY_OF_THE_OLFACTORY_BULB","SYSTEMATIC_NAME":"M41611","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0040327","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0040327","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal morphology of the olfactory bulb","DESCRIPTION_FULL":"An abnormal morphology of the olfactory bulb (bulbus olfactorius), which is involved in olfaction, i.e. the sense of smell. [HPO:skoehler]"}
{"STANDARD_NAME":"HP_ABNORMAL_SUBSTANTIA_NIGRA_MORPHOLOGY","SYSTEMATIC_NAME":"M38623","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0045007","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0045007","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal substantia nigra morphology","DESCRIPTION_FULL":"A structural anomaly of the substantia nigra, which is a midbrain dopaminergic nucleus which has a critical role in modulating motor movement and reward functions as part of the basal ganglia circuitry. []"}
{"STANDARD_NAME":"HP_ABNORMAL_MORPHOLOGY_OF_THE_RADIUS","SYSTEMATIC_NAME":"M38624","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0045009","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0045009","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal morphology of the radius"}
{"STANDARD_NAME":"HP_HYPOLIPIDEMIA","SYSTEMATIC_NAME":"M38626","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0045014","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0045014","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypolipidemia"}
{"STANDARD_NAME":"HP_CONGENITAL_MALFORMATION_OF_THE_LEFT_HEART","SYSTEMATIC_NAME":"M38627","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0045017","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0045017","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Congenital malformation of the left heart","DESCRIPTION_FULL":"Defect or defects of the morphogenesis of the left heart identifiable at birth. []"}
{"STANDARD_NAME":"HP_NARROW_PALPEBRAL_FISSURE","SYSTEMATIC_NAME":"M38628","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0045025","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0045025","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Narrow palpebral fissure","DESCRIPTION_FULL":"Reduction in the vertical distance between the upper and lower eyelids. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_THORACIC_CAVITY","SYSTEMATIC_NAME":"M38629","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0045027","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0045027","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the thoracic cavity"}
{"STANDARD_NAME":"HP_OSTEOLYSIS_INVOLVING_BONES_OF_THE_UPPER_LIMBS","SYSTEMATIC_NAME":"M38631","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0045039","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0045039","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Osteolysis involving bones of the upper limbs"}
{"STANDARD_NAME":"HP_ABNORMAL_LACTATE_DEHYDROGENASE_LEVEL","SYSTEMATIC_NAME":"M38632","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0045040","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0045040","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal lactate dehydrogenase level","DESCRIPTION_FULL":"A deviation from the normal serum concentration/activity of lactate dehydrogenase (LDH), which catalyzes the reduction of pyruvate to form lactate. [PMID:25984930]"}
{"STANDARD_NAME":"HP_DECREASED_SERUM_COMPLEMENT_C4","SYSTEMATIC_NAME":"M41612","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0045042","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0045042","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased serum complement C4","DESCRIPTION_FULL":"A reduced level of the complement component C4 in the circulation. [https://emedicine.medscape.com/article/135478-overview]"}
{"STANDARD_NAME":"HP_ABNORMAL_DLCO","SYSTEMATIC_NAME":"M41613","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0045049","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0045049","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal DLCO","DESCRIPTION_FULL":"An abnormal amount of oxygen passes into the blood from the lungs and/or an abnormal amount of carbon dioxide passes from the blood into the lungs. [PMID:32310609]"}
{"STANDARD_NAME":"HP_TIGER_TAIL_BANDING","SYSTEMATIC_NAME":"M38634","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0045055","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0045055","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Tiger tail banding","DESCRIPTION_FULL":"An abnormal appearance of hair under polarizing microscopy (using crossed polarizers), whereby hair shafts show striking alternating bright and dark bands, often referred to as tiger tail banding. [PMID:15692466]"}
{"STANDARD_NAME":"HP_ABNORMAL_LEVELS_OF_ALPHA_FETOPROTEIN","SYSTEMATIC_NAME":"M38635","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0045056","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0045056","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal levels of alpha-fetoprotein"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_TESTIS_SIZE","SYSTEMATIC_NAME":"M38636","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0045058","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0045058","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the testis size","DESCRIPTION_FULL":"An anomaly of the size of the testicle (the male gonad). []"}
{"STANDARD_NAME":"HP_SEROSITIS","SYSTEMATIC_NAME":"M38637","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0045073","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0045073","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Serositis","DESCRIPTION_FULL":"Inflammation in any serous cavity. [HPO:skoehler]"}
{"STANDARD_NAME":"HP_THIN_EYEBROW","SYSTEMATIC_NAME":"M38638","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0045074","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0045074","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Thin eyebrow","DESCRIPTION_FULL":"Decreased diameter of eyebrow hairs. []"}
{"STANDARD_NAME":"HP_SPARSE_EYEBROW","SYSTEMATIC_NAME":"M38639","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0045075","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0045075","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Sparse eyebrow","DESCRIPTION_FULL":"Decreased density/number of eyebrow hairs. [HPO:skoehler]"}
{"STANDARD_NAME":"HP_DECREASED_PROPORTION_OF_CD3_POSITIVE_T_CELLS","SYSTEMATIC_NAME":"M38640","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0045080","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0045080","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased proportion of CD3-positive T cells","DESCRIPTION_FULL":"Any abnormality in the proportion of CD3-positive T cells relative to the total number of T cells. []"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_BODY_MASS_INDEX","SYSTEMATIC_NAME":"M38641","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0045081","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0045081","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of body mass index","DESCRIPTION_FULL":"Anomaly in the weight-to-height squared ratio, calculated by dividing the individual's weight in kilograms by the square of the individual's height in meters and used as an indicator of obesity and underweight compared to averages. []"}
{"STANDARD_NAME":"HP_LIMB_MYOCLONUS","SYSTEMATIC_NAME":"M38642","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0045084","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0045084","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Limb myoclonus"}
{"STANDARD_NAME":"HP_DECREASED_LIBIDO","SYSTEMATIC_NAME":"M41614","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0046504","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0046504","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased libido","DESCRIPTION_FULL":"Decreased sexual desire. []"}
{"STANDARD_NAME":"HP_PAIN_IN_HEAD_AND_NECK_REGION","SYSTEMATIC_NAME":"M38643","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0046506","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0046506","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pain in head and neck region"}
{"STANDARD_NAME":"HP_ABNORMAL_CERVICAL_SPINE_MORPHOLOGY","SYSTEMATIC_NAME":"M38644","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0046508","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0046508","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal cervical spine morphology","DESCRIPTION_FULL":"Any morphological abnormality of the cervical vertebral column. []"}
{"STANDARD_NAME":"HP_EARLY_ONSET_OF_SEXUAL_MATURATION","SYSTEMATIC_NAME":"M38645","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100000","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100000","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Early onset of sexual maturation","DESCRIPTION_FULL":"An early onset of puberty, in this case early does not refer to precocious. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NEOPLASM_OF_THE_PERIPHERAL_NERVOUS_SYSTEM","SYSTEMATIC_NAME":"M38647","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100007","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100007","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neoplasm of the peripheral nervous system","DESCRIPTION_FULL":"A benign or malignant neoplasm (tumour) of the peripheral nervous system. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SCHWANNOMA","SYSTEMATIC_NAME":"M38648","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100008","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100008","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Schwannoma","DESCRIPTION_FULL":"A benign nerve sheath tumor composed of Schwann cells. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_INTRACRANIAL_MENINGIOMA","SYSTEMATIC_NAME":"M41615","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100009","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100009","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Intracranial meningioma"}
{"STANDARD_NAME":"HP_NEOPLASM_OF_THE_EYE","SYSTEMATIC_NAME":"M38649","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100012","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100012","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neoplasm of the eye","DESCRIPTION_FULL":"A tumor (abnormal growth of tissue) of the eye. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NEOPLASM_OF_THE_BREAST","SYSTEMATIC_NAME":"M38650","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100013","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100013","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neoplasm of the breast","DESCRIPTION_FULL":"A tumor (abnormal growth of tissue) of the breast. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_MESENTERY_MORPHOLOGY","SYSTEMATIC_NAME":"M38651","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100016","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100016","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of mesentery morphology","DESCRIPTION_FULL":"Folds of membranous tissue (peritoneum, mesothelium) attached to the wall of the abdomen and enclosing viscera. Examples include the mesentery for the small intestine; the transverse mesocolon, which attaches the transverse portion of the colon to the back wall of the abdomen; and the mesosigmoid, which enfolds the sigmoid portion of the colon. Cells of the same embryologic origin also surround the other organs of the body such as the lungs (pleura) or the heart (pericardium). [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_NUCLEAR_CATARACT","SYSTEMATIC_NAME":"M38652","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100018","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100018","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Nuclear cataract","DESCRIPTION_FULL":"A nuclear cataract is an opacity or clouding that develops in the lens nucleus. That is, a nuclear cataract is one that is located in the center of the lens. The nucleus tends to darken changing from clear to yellow and sometimes brown. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_CORTICAL_CATARACT","SYSTEMATIC_NAME":"M38653","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100019","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100019","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cortical cataract","DESCRIPTION_FULL":"A cataract which affects the layer of the lens surrounding the nucleus, i.e., the lens cortex. It is identified by its unique wedge or spoke appearance. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_CEREBRAL_PALSY","SYSTEMATIC_NAME":"M38654","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100021","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100021","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cerebral palsy","DESCRIPTION_FULL":"Cerebral palsy describes a group of permanent disorders of the development of movement and posture, causing activity limitation, that are attributed to nonprogressive disturbances that occurred in the developing fetal or infant brain. The motor disorders of cerebral palsy are often accompanied by disturbances of sensation, perception, cognition, communication, and behaviour, by epilepsy, and by secondary musculoskeletal problems. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_RECURRENT_HAND_FLAPPING","SYSTEMATIC_NAME":"M41616","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100023","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100023","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Recurrent hand flapping","DESCRIPTION_FULL":"A type of stereotypic behavior in which the affected individual repeatedly waves the hands up and down. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CONSPICUOUSLY_HAPPY_DISPOSITION","SYSTEMATIC_NAME":"M38655","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100024","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100024","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Conspicuously happy disposition","DESCRIPTION_FULL":"An unusually happy aspect over time which can also may be observed during inappropriate situations that should be causing for example distress, fear or anger. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_OVERFRIENDLINESS","SYSTEMATIC_NAME":"M38656","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100025","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100025","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Overfriendliness","DESCRIPTION_FULL":"A form of hypersociability that presents as mostly inappropriate people-orientation and friendliness towards others on an inadequate level which might go as far as being dangerous considering for example young children following strangers without restriction. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_ARTERIOVENOUS_MALFORMATION","SYSTEMATIC_NAME":"M38657","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100026","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100026","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Arteriovenous malformation","DESCRIPTION_FULL":"An anomalous configuration of blood vessels that shunts arterial blood directly into veins without passing through the capillaries. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RECURRENT_PANCREATITIS","SYSTEMATIC_NAME":"M38658","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100027","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100027","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Recurrent pancreatitis","DESCRIPTION_FULL":"A recurrent form of pancreatitis. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NEOPLASM_OF_THE_THYROID_GLAND","SYSTEMATIC_NAME":"M38659","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100031","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100031","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neoplasm of the thyroid gland","DESCRIPTION_FULL":"A tumor (abnormal growth of tissue) of the thyroid gland. [HPO:probinson]"}
{"STANDARD_NAME":"HP_TICS","SYSTEMATIC_NAME":"M38660","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100033","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100033","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Tics","DESCRIPTION_FULL":"Repeated, individually recognizable, intermittent movements or movement fragments that are almost always briefly suppresable and are usually associated with awareness of an urge to perform the movement. [HPO:sdoelken, PMID:20589866]"}
{"STANDARD_NAME":"HP_MOTOR_TICS","SYSTEMATIC_NAME":"M38661","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100034","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100034","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Motor tics","DESCRIPTION_FULL":"Movement-based tics affecting discrete muscle groups. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_PUBIC_HAIR","SYSTEMATIC_NAME":"M38662","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100133","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100133","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the pubic hair","DESCRIPTION_FULL":"Abnormality of the growth of the pubic hair. Pubic hair is part of the secondary sexual hair, which normally ensues during puberty. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_AXILLARY_HAIR","SYSTEMATIC_NAME":"M38663","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100134","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100134","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the axillary hair","DESCRIPTION_FULL":"Abnormality of the growth of the axillary hair. Axillary hair is part of the secondary sexual hair, which normally ensues during puberty. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_SYNOSTOSIS_INVOLVING_BONES_OF_THE_UPPER_LIMBS","SYSTEMATIC_NAME":"M38664","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100238","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100238","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Synostosis involving bones of the upper limbs","DESCRIPTION_FULL":"An abnormal union between bones or parts of bones of the upper limbs. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_SYNOSTOSIS_OF_JOINTS","SYSTEMATIC_NAME":"M38665","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100240","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100240","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Synostosis of joints","DESCRIPTION_FULL":"The abnormal fusion of neighboring bones across a joint. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SARCOMA","SYSTEMATIC_NAME":"M38666","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100242","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100242","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Sarcoma","DESCRIPTION_FULL":"A connective tissue neoplasm formed by proliferation of mesodermal cells. Bone and soft tissue sarcomas are the main types of sarcoma. Sarcoma is usually highly malignant. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_LEIOMYOSARCOMA","SYSTEMATIC_NAME":"M38667","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100243","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100243","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Leiomyosarcoma","DESCRIPTION_FULL":"A smooth muscle connective tissue tumor, which is rare type of cancer that is a malignant neoplasm of smooth muscle. When such a neoplasm is benign, it is called a leiomyoma. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_FIBROSARCOMA","SYSTEMATIC_NAME":"M38668","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100244","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100244","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Fibrosarcoma","DESCRIPTION_FULL":"A fibroblastic sarcoma is a malignant tumor derived from fibrous connective tissue and characterized by immature proliferating fibroblasts or undifferentiated anaplastic spindle cells. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_METAPHYSEAL_DYSPLASIA","SYSTEMATIC_NAME":"M38669","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100255","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100255","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Metaphyseal dysplasia","DESCRIPTION_FULL":"The presence of dysplastic regions in metaphyseal regions. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_SENILE_PLAQUES","SYSTEMATIC_NAME":"M38670","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100256","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100256","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Senile plaques","DESCRIPTION_FULL":"Senile plaques are extracellular deposits of amyloid in the gray matter of the brain. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_ECTRODACTYLY","SYSTEMATIC_NAME":"M38671","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100257","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100257","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ectrodactyly","DESCRIPTION_FULL":"A condition in which middle parts of the hands and/or feet (digits and meta-carpals and -tarsals) are missing giving a cleft appearance. The severity is very variable ranging from slightly hypoplastic 3rd toe/fingers over absent 2nd or 3rd toes/fingers as far as oligo- or monodactyl hands and/or feet. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_PREAXIAL_POLYDACTYLY","SYSTEMATIC_NAME":"M38672","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100258","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100258","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Preaxial polydactyly","DESCRIPTION_FULL":"A form of polydactyly in which the extra digit or digits are localized on the side of the thumb or great toe. [HPO:probinson]"}
{"STANDARD_NAME":"HP_POSTAXIAL_POLYDACTYLY","SYSTEMATIC_NAME":"M38673","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100259","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100259","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Postaxial polydactyly","DESCRIPTION_FULL":"A form of polydactyly in which the extra digit or digits are localized on the side of the fifth finger or fifth toe. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MESOAXIAL_POLYDACTYLY","SYSTEMATIC_NAME":"M38674","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100260","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100260","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Mesoaxial polydactyly","DESCRIPTION_FULL":"The presence of a supernumerary finger or toe (not a thumb or hallux) involving the third or fourth metacarpal/tarsal with associated osseous syndactyly. [PMID:19125433]"}
{"STANDARD_NAME":"HP_ABNORMAL_TENDON_MORPHOLOGY","SYSTEMATIC_NAME":"M38675","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100261","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100261","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal tendon morphology","DESCRIPTION_FULL":"An abnormality of the structure or form of the tendons, also often called sinews. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_SYNOSTOSIS_INVOLVING_DIGITS","SYSTEMATIC_NAME":"M38676","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100262","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100262","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Synostosis involving digits"}
{"STANDARD_NAME":"HP_DISTAL_SYMPHALANGISM","SYSTEMATIC_NAME":"M38677","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100263","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100263","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Distal symphalangism"}
{"STANDARD_NAME":"HP_PROXIMAL_SYMPHALANGISM","SYSTEMATIC_NAME":"M38678","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100264","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100264","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Proximal symphalangism"}
{"STANDARD_NAME":"HP_SYNOSTOSIS_OF_METACARPALS_METATARSALS","SYSTEMATIC_NAME":"M38679","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100265","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100265","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Synostosis of metacarpals/metatarsals"}
{"STANDARD_NAME":"HP_SYNOSTOSIS_OF_CARPALS_TARSALS","SYSTEMATIC_NAME":"M38680","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100266","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100266","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Synostosis of carpals/tarsals","DESCRIPTION_FULL":"The carpus consists of the scaphoid, lunate, triquetal, pisiform, captitate, hamate, trapezoid, and trapezium bones. The tarsus consists of the talus, calcaneus, navicular, cuboid, cuneiform, and navicular bones. This term applies if there is any fusion among the bones of the carpus or tarsus. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_LIP_PIT","SYSTEMATIC_NAME":"M38681","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100267","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100267","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Lip pit","DESCRIPTION_FULL":"A depression located on a lip. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NEOPLASM_OF_THE_COLON","SYSTEMATIC_NAME":"M38682","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100273","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100273","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neoplasm of the colon"}
{"STANDARD_NAME":"HP_DIFFUSE_CEREBELLAR_ATROPHY","SYSTEMATIC_NAME":"M38683","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100275","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100275","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Diffuse cerebellar atrophy","DESCRIPTION_FULL":"Diffuse unlocalised atrophy affecting the cerebellum. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_SKIN_PIT","SYSTEMATIC_NAME":"M38684","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100276","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100276","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Skin pit","DESCRIPTION_FULL":"A small, skin-lined tract that leads from the surface to deep within the tissues. []"}
{"STANDARD_NAME":"HP_PERIAURICULAR_SKIN_PITS","SYSTEMATIC_NAME":"M38685","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100277","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100277","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Periauricular skin pits","DESCRIPTION_FULL":"Benign congenital lesions of the periauricular soft tissue consisting of a blind-ending narrow tube or pit. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_ULCERATIVE_COLITIS","SYSTEMATIC_NAME":"M38686","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100279","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100279","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ulcerative colitis","DESCRIPTION_FULL":"A chronic inflammatory bowel disease that includes characteristic ulcers, or open sores, in the colon. The main symptom of active disease is usually constant diarrhea mixed with blood, of gradual onset and intermittent periods of exacerbated symptoms contrasting with periods that are relatively symptom-free. In contrast to Crohn's disease this special form of colitis begins in the distal parts of the rectum, spreads continually upwards and affects only mucose and submucose tissue of the colon. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_CROHN_S_DISEASE","SYSTEMATIC_NAME":"M41617","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100280","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100280","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Crohn's disease","DESCRIPTION_FULL":"A chronic granulomatous inflammatory disease of the intestines that may affect any part of the gastrointestinal tract from mouth to anus, causing a wide variety of symptoms. It primarily causes abdominal pain, diarrhea which may be bloody, vomiting, or weight loss, but may also cause complications outside of the gastrointestinal tract such as skin rashes, arthritis, inflammation of the eye, tiredness, and lack of concentration. Crohn's disease is thought to be an autoimmune disease, in which the body's immune system attacks the gastrointestinal tract, causing inflammation. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_EMG_IMPAIRED_NEUROMUSCULAR_TRANSMISSION","SYSTEMATIC_NAME":"M38688","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100285","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100285","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"EMG: impaired neuromuscular transmission","DESCRIPTION_FULL":"An electromyographic finding associated with erratic or absent neuromuscular transmission with erratic, moment-to-moment changes in the shape of the motor unit potential (MUP). [HPO:probinson]"}
{"STANDARD_NAME":"HP_MUSCLE_FIBER_ATROPHY","SYSTEMATIC_NAME":"M38689","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100295","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100295","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Muscle fiber atrophy"}
{"STANDARD_NAME":"HP_INCREASED_ENDOMYSIAL_CONNECTIVE_TISSUE","SYSTEMATIC_NAME":"M38690","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100297","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100297","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased endomysial connective tissue","DESCRIPTION_FULL":"An increased volume of the endomysium, which is a connective tissue sheath that surrounds each muscule fiber. Together, bundles of muscle fibers form a fasciculus, surrounded by another layer of connective tissue called the perimysium. [PMID:32508678]"}
{"STANDARD_NAME":"HP_MUSCLE_FIBER_INCLUSION_BODIES","SYSTEMATIC_NAME":"M38691","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100299","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100299","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Muscle fiber inclusion bodies"}
{"STANDARD_NAME":"HP_MUSCLE_FIBER_TUBULAR_INCLUSIONS","SYSTEMATIC_NAME":"M38692","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100301","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100301","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Muscle fiber tubular inclusions","DESCRIPTION_FULL":"Unusual regions of densely packed membranous tubules known as tubular aggregates which present as membranous inclusions, derived from membranes of sarcoplasmic reticulum and mitochondria, containing miscellaneous proteins with a variety of enzymatic activities. [HPO:sdoelken, PMID:15113116]"}
{"STANDARD_NAME":"HP_CEREBRAL_CORTICAL_HEMIATROPHY","SYSTEMATIC_NAME":"M38693","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100308","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100308","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cerebral cortical hemiatrophy","DESCRIPTION_FULL":"Atrophy of one side of the brain, characterized by findings including thinning of the cerebral cortex, reduced volume of the cerebral white matter with abnormal myelination, and enlargement of the ispilateral fourth ventricle. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SUBDURAL_HEMORRHAGE","SYSTEMATIC_NAME":"M41618","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100309","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100309","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Subdural hemorrhage","DESCRIPTION_FULL":"Hemorrhage occurring between the dura mater and the arachnoid mater. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_CEREBRAL_INCLUSION_BODIES","SYSTEMATIC_NAME":"M38694","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100314","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100314","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cerebral inclusion bodies","DESCRIPTION_FULL":"Nuclear or cytoplasmic aggregates of stainable substances within cells of the brain. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LEWY_BODIES","SYSTEMATIC_NAME":"M38695","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100315","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100315","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Lewy bodies"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_DENTATE_NUCLEUS","SYSTEMATIC_NAME":"M38696","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100321","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100321","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the dentate nucleus","DESCRIPTION_FULL":"An abnormality of the dentate nucleus. [HPO:probinson]"}
{"STANDARD_NAME":"HP_JUVENILE_ASEPTIC_NECROSIS","SYSTEMATIC_NAME":"M38697","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100323","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100323","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Juvenile aseptic necrosis","DESCRIPTION_FULL":"Juvenile aseptic necrosis comprises a group of orthopedic diseases characterized by interruption of the blood supply of a bone, followed by localized bony necrosis most often of the epiphyses of bones of children or teenagers. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_SCLERODERMA","SYSTEMATIC_NAME":"M38698","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100324","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100324","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Scleroderma","DESCRIPTION_FULL":"A chronic autoimmune phenomenon characterized by fibrosis (or hardening) and vascular alterations of the skin. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_IMMUNOLOGIC_HYPERSENSITIVITY","SYSTEMATIC_NAME":"M38699","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100326","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100326","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Immunologic hypersensitivity","DESCRIPTION_FULL":"Immunological states where the immune system produces harmful responses upon reexposure to sensitising antigens. [https://www.st-andrews.ac.uk/~gdk/bl4217web/Gp3%20Ref%20list/hypersensitivity%20printed.pdf]"}
{"STANDARD_NAME":"HP_UNILATERAL_CLEFT_LIP","SYSTEMATIC_NAME":"M38700","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100333","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100333","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Unilateral cleft lip","DESCRIPTION_FULL":"A non-midline cleft of the upper lip on one side only. [HPO:probinson]"}
{"STANDARD_NAME":"HP_UNILATERAL_CLEFT_PALATE","SYSTEMATIC_NAME":"M38701","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100334","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100334","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Unilateral cleft palate"}
{"STANDARD_NAME":"HP_NON_MIDLINE_CLEFT_LIP","SYSTEMATIC_NAME":"M38702","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100335","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100335","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Non-midline cleft lip","DESCRIPTION_FULL":"Clefting of the upper lip affecting the lateral portions of the upper lip rather than the midline/median region. [HPO:probinson]"}
{"STANDARD_NAME":"HP_BILATERAL_CLEFT_LIP","SYSTEMATIC_NAME":"M38703","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100336","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100336","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Bilateral cleft lip","DESCRIPTION_FULL":"A non-midline cleft of the upper lip on the left and right sides. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NON_MIDLINE_CLEFT_PALATE","SYSTEMATIC_NAME":"M38704","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100338","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100338","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Non-midline cleft palate"}
{"STANDARD_NAME":"HP_CONTRACTURES_OF_THE_JOINTS_OF_THE_UPPER_LIMBS","SYSTEMATIC_NAME":"M38705","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100360","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100360","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Contractures of the joints of the upper limbs"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_DISTAL_PHALANX_OF_THE_5TH_TOE","SYSTEMATIC_NAME":"M38706","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100371","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100371","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the distal phalanx of the 5th toe"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_LOWER_LIMB_JOINT","SYSTEMATIC_NAME":"M38707","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100491","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100491","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of lower limb joint"}
{"STANDARD_NAME":"HP_JOINT_CONTRACTURES_INVOLVING_THE_JOINTS_OF_THE_FEET","SYSTEMATIC_NAME":"M38708","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100492","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100492","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Joint contractures involving the joints of the feet","DESCRIPTION_FULL":"Contractures of one ore more joints of the feet meaning chronic loss of joint motion due to structural changes in non-bony tissue. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_ABNORMAL_MAST_CELL_MORPHOLOGY","SYSTEMATIC_NAME":"M38709","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100494","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100494","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal mast cell morphology","DESCRIPTION_FULL":"Any structural anomaly of mast cells, which are found in almost all tissues and contain numerous basophilic granules and are capable of releasing large amounts of histamine and heparin upon activation. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_MASTOCYTOSIS","SYSTEMATIC_NAME":"M41619","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100495","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100495","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Mastocytosis","DESCRIPTION_FULL":"The presence of an increased number of mast cells and CD34+ mast cell precursors in the body. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_DEVIATION_OF_TOES","SYSTEMATIC_NAME":"M38710","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100498","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100498","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Deviation of toes"}
{"STANDARD_NAME":"HP_VITAMIN_B12_DEFICIENCY","SYSTEMATIC_NAME":"M41620","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100502","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100502","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Vitamin B12 deficiency"}
{"STANDARD_NAME":"HP_LOW_LEVELS_OF_VITAMIN_B1","SYSTEMATIC_NAME":"M41621","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100503","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100503","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Low levels of vitamin B1","DESCRIPTION_FULL":"A reduced concentration of vitamin B1. []"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_VITAMIN_METABOLISM","SYSTEMATIC_NAME":"M38711","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100508","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100508","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of vitamin metabolism","DESCRIPTION_FULL":"An anomaly in the metabolism of a vitamin. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_VITAMIN_D_METABOLISM","SYSTEMATIC_NAME":"M38712","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100511","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100511","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of vitamin D metabolism"}
{"STANDARD_NAME":"HP_LOW_LEVELS_OF_VITAMIN_D","SYSTEMATIC_NAME":"M38713","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100512","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100512","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Low levels of vitamin D","DESCRIPTION_FULL":"A reduced concentration of Vitamin D. []"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_VITAMIN_E_METABOLISM","SYSTEMATIC_NAME":"M38715","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100514","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100514","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of vitamin E metabolism"}
{"STANDARD_NAME":"HP_POLLAKISURIA","SYSTEMATIC_NAME":"M38716","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100515","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100515","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pollakisuria","DESCRIPTION_FULL":"Increased frequency of urination. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DYSURIA","SYSTEMATIC_NAME":"M38717","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100518","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100518","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Dysuria","DESCRIPTION_FULL":"Painful or difficult urination. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ANURIA","SYSTEMATIC_NAME":"M38718","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100519","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100519","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Anuria","DESCRIPTION_FULL":"Absence of urine, clinically classified as below 50ml/day. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_OLIGURIA","SYSTEMATIC_NAME":"M38719","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100520","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100520","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Oliguria","DESCRIPTION_FULL":"Low output of urine, clinically classified as an output below 300-500ml/day. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_NEOPLASM_OF_THE_THYMUS","SYSTEMATIC_NAME":"M38720","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100521","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100521","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neoplasm of the thymus","DESCRIPTION_FULL":"A tumor (abnormal growth of tissue) of the thymus. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LIVER_ABSCESS","SYSTEMATIC_NAME":"M38721","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100523","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100523","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Liver abscess","DESCRIPTION_FULL":"The presence of an abscess of the liver. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_BLOOD_PHOSPHATE_CONCENTRATION","SYSTEMATIC_NAME":"M38722","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100529","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100529","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal blood phosphate concentration","DESCRIPTION_FULL":"An abnormality of phosphate homeostasis or concentration in the body. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_CALCIUM_PHOSPHATE_REGULATING_HORMONE_LEVEL","SYSTEMATIC_NAME":"M38723","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100530","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100530","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal calcium-phosphate regulating hormone level","DESCRIPTION_FULL":"Any deviation from the normal concentration in the blood circulation of a hormone that is involved in the regulation of phosphate and calcium. []"}
{"STANDARD_NAME":"HP_INFLAMMATORY_ABNORMALITY_OF_THE_EYE","SYSTEMATIC_NAME":"M38724","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100533","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100533","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Inflammatory abnormality of the eye","DESCRIPTION_FULL":"Inflammation of the eye, parts of the eye or the periorbital region. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_EPISCLERITIS","SYSTEMATIC_NAME":"M38725","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100534","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100534","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Episcleritis","DESCRIPTION_FULL":"Inflammation of the episclera, a thin layer of tissue covering the white part (sclera) of the eye. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_SUPRAORBITAL_RIDGES","SYSTEMATIC_NAME":"M38726","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100538","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100538","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the supraorbital ridges","DESCRIPTION_FULL":"An anomaly of the supraorbital portion of the frontal bones. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PALPEBRAL_EDEMA","SYSTEMATIC_NAME":"M38727","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100540","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100540","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Palpebral edema","DESCRIPTION_FULL":"Edema in the region of the eyelids. [HPO:probinson]"}
{"STANDARD_NAME":"HP_FEMORAL_HERNIA","SYSTEMATIC_NAME":"M38728","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100541","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100541","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Femoral hernia","DESCRIPTION_FULL":"A hernia which occurs just below the inguinal ligament, where abdominal contents pass through a naturally occurring weakness called the femoral canal. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_ABNORMAL_LOCALIZATION_OF_KIDNEY","SYSTEMATIC_NAME":"M38729","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100542","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100542","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal localization of kidney","DESCRIPTION_FULL":"An abnormal site of the kidney. [HPO:probinson]"}
{"STANDARD_NAME":"HP_COGNITIVE_IMPAIRMENT","SYSTEMATIC_NAME":"M38730","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100543","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100543","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cognitive impairment","DESCRIPTION_FULL":"Abnormality in the process of thought including the ability to process information. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_NEOPLASM_OF_THE_HEART","SYSTEMATIC_NAME":"M38731","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100544","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100544","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neoplasm of the heart","DESCRIPTION_FULL":"A tumor (abnormal growth of tissue) of the heart. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ARTERIAL_STENOSIS","SYSTEMATIC_NAME":"M38732","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100545","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100545","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Arterial stenosis","DESCRIPTION_FULL":"Narrowing or constriction of the inner surface (lumen) of an artery. [HPO:probinson]"}
{"STANDARD_NAME":"HP_EXSTROPHY","SYSTEMATIC_NAME":"M38734","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100548","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100548","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Exstrophy","DESCRIPTION_FULL":"Eversion of a hollow organ and exposure, inside out, and protruded through the abdominal wall. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NEOPLASM_OF_THE_TRACHEOBRONCHIAL_SYSTEM","SYSTEMATIC_NAME":"M38735","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100552","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100552","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neoplasm of the tracheobronchial system"}
{"STANDARD_NAME":"HP_ASYMMETRIC_GROWTH","SYSTEMATIC_NAME":"M38736","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100555","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100555","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Asymmetric growth","DESCRIPTION_FULL":"A growth pattern that displays an abnormal difference between the left and the right side. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HEMIATROPHY","SYSTEMATIC_NAME":"M38737","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100556","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100556","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hemiatrophy","DESCRIPTION_FULL":"Undergrowth of the limbs that affects only one side. [DDD:hfirth]"}
{"STANDARD_NAME":"HP_LOWER_LIMB_ASYMMETRY","SYSTEMATIC_NAME":"M38738","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100559","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100559","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Lower limb asymmetry","DESCRIPTION_FULL":"A difference in length or diameter between the left and right leg. [HPO:probinson]"}
{"STANDARD_NAME":"HP_UPPER_LIMB_ASYMMETRY","SYSTEMATIC_NAME":"M38739","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100560","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100560","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Upper limb asymmetry","DESCRIPTION_FULL":"Difference in length or size between the right and left arm. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SPINAL_CORD_LESION","SYSTEMATIC_NAME":"M38740","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100561","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100561","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Spinal cord lesion"}
{"STANDARD_NAME":"HP_NEOPLASM_OF_THE_ENDOCRINE_SYSTEM","SYSTEMATIC_NAME":"M38741","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100568","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100568","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neoplasm of the endocrine system","DESCRIPTION_FULL":"A tumor (abnormal growth of tissue) of the endocrine system. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALLY_OSSIFIED_VERTEBRAE","SYSTEMATIC_NAME":"M38742","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100569","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100569","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormally ossified vertebrae","DESCRIPTION_FULL":"An abnormality of the formation and mineralization of one or more vertebrae. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CARCINOID_TUMOR","SYSTEMATIC_NAME":"M38743","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100570","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100570","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Carcinoid tumor","DESCRIPTION_FULL":"A tumor formed from the endocrine (argentaffin) cells of the mucosal lining of a variety of organs including the stomach and intestine. These cells are from neuroectodermal origin. [HPO:sdoelkens]"}
{"STANDARD_NAME":"HP_CARDIAC_DIVERTICULUM","SYSTEMATIC_NAME":"M38744","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100571","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100571","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cardiac diverticulum","DESCRIPTION_FULL":"A cardiac diverticulum is a rare congenital malformation which is either fibrous or muscular. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_BILIARY_TRACT_NEOPLASM","SYSTEMATIC_NAME":"M38745","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100574","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100574","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Biliary tract neoplasm","DESCRIPTION_FULL":"A tumor (abnormal growth of tissue) of the biliary system. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NEOPLASM_OF_THE_GALLBLADDER","SYSTEMATIC_NAME":"M38746","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100575","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100575","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neoplasm of the gallbladder","DESCRIPTION_FULL":"The presence of a neoplasm of the gallbladder. [HPO:probinson]"}
{"STANDARD_NAME":"HP_AMAUROSIS_FUGAX","SYSTEMATIC_NAME":"M38747","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100576","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100576","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Amaurosis fugax","DESCRIPTION_FULL":"A transient visual disturbance that is typically caused by a circulatory, ocular or neurological underlying condition. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_LIPOATROPHY","SYSTEMATIC_NAME":"M38748","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100578","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100578","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Lipoatrophy","DESCRIPTION_FULL":"Localized loss of fat tissue. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_MUCOSAL_TELANGIECTASIAE","SYSTEMATIC_NAME":"M38749","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100579","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100579","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Mucosal telangiectasiae","DESCRIPTION_FULL":"Telangiectasia of the mucosa, the mucous membranes which are involved in absorption and secretion that line cavities that are exposed to the external environment and internal organs. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_BARRETT_ESOPHAGUS","SYSTEMATIC_NAME":"M38750","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100580","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100580","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Barrett esophagus","DESCRIPTION_FULL":"An abnormal change (metaplasia) in the cells of the inferior portion of the esophagus. The normal squamous epithelium lining of the esophagus is replaced by metaplastic columnar epithelium. Columnar epithelium refers to a cell type that is typically found in more distal parts of the gastrointestinal system. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_ENDOCARDITIS","SYSTEMATIC_NAME":"M38751","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100584","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100584","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Endocarditis","DESCRIPTION_FULL":"An inflammation of the endocardium, the inner layer of the heart, which usually involves the heart valves. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_TELANGIECTASIA_OF_THE_SKIN","SYSTEMATIC_NAME":"M38752","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100585","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100585","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Telangiectasia of the skin","DESCRIPTION_FULL":"Presence of small, permanently dilated blood vessels near the surface of the skin, visible as small focal red lesions. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_PREPUTIUM","SYSTEMATIC_NAME":"M38753","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100587","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100587","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the preputium"}
{"STANDARD_NAME":"HP_UROGENITAL_FISTULA","SYSTEMATIC_NAME":"M38754","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100589","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100589","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Urogenital fistula","DESCRIPTION_FULL":"The presence of a fistula affecting the genitourinary system. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RECTAL_FISTULA","SYSTEMATIC_NAME":"M38755","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100590","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100590","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Rectal fistula","DESCRIPTION_FULL":"The presence of a fistula affecting the rectum. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PERITONEAL_ABSCESS","SYSTEMATIC_NAME":"M38756","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100592","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100592","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Peritoneal abscess","DESCRIPTION_FULL":"The presence of an abscess of the peritoneum. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CALCIFICATION_OF_CARTILAGE","SYSTEMATIC_NAME":"M38757","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100593","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100593","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Calcification of cartilage"}
{"STANDARD_NAME":"HP_PULMONARY_EDEMA","SYSTEMATIC_NAME":"M38758","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100598","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100598","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pulmonary edema","DESCRIPTION_FULL":"Fluid accumulation in the lungs. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_ECLAMPSIA","SYSTEMATIC_NAME":"M38759","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100601","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100601","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Eclampsia","DESCRIPTION_FULL":"An acute and life-threatening complication of pregnancy, which is characterized by the appearance of tonic-clonic seizures, usually in a patient who had developed pre-eclampsia. Eclampsia includes seizures and coma that happen during pregnancy but are not due to preexisting or organic brain disorders. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_TOXEMIA_OF_PREGNANCY","SYSTEMATIC_NAME":"M38760","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100603","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100603","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Toxemia of pregnancy","DESCRIPTION_FULL":"Pregnancy-induced toxic reactions of the mother that can be as harmless as slight Maternal hypertension or as life threatening as Eclampsia. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_NEOPLASM_OF_THE_LARYNX","SYSTEMATIC_NAME":"M38761","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100605","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100605","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neoplasm of the larynx"}
{"STANDARD_NAME":"HP_NEOPLASM_OF_THE_RESPIRATORY_SYSTEM","SYSTEMATIC_NAME":"M38762","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100606","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100606","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neoplasm of the respiratory system","DESCRIPTION_FULL":"A tumor (abnormal growth of tissue) of the respiratory system. [HPO:probinson]"}
{"STANDARD_NAME":"HP_DYSMENORRHEA","SYSTEMATIC_NAME":"M38763","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100607","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100607","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Dysmenorrhea","DESCRIPTION_FULL":"Pain during menstruation that interferes with daily activities. [PMID:15686299]"}
{"STANDARD_NAME":"HP_METRORRHAGIA","SYSTEMATIC_NAME":"M38764","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100608","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100608","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Metrorrhagia","DESCRIPTION_FULL":"Bleeding at irregular intervals. [PMID:22594864]"}
{"STANDARD_NAME":"HP_MULTIPLE_GLOMERULAR_CYSTS","SYSTEMATIC_NAME":"M38765","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100611","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100611","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Multiple glomerular cysts","DESCRIPTION_FULL":"The presence of many cysts in the glomerulus of the kidney related to dilatation of the Bowman's capsule. [Eurenomics:fschaefer, PMID:20091054, PMID:20367310]"}
{"STANDARD_NAME":"HP_ODONTOGENIC_NEOPLASM","SYSTEMATIC_NAME":"M38766","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100612","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100612","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Odontogenic neoplasm","DESCRIPTION_FULL":"Neoplasm involving odontogenic cells, an odontogenic tumor. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_DEATH_IN_EARLY_ADULTHOOD","SYSTEMATIC_NAME":"M38767","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100613","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100613","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Death in early adulthood","DESCRIPTION_FULL":"Death between the age of 16 and 40 years. [HPO:probinson]"}
{"STANDARD_NAME":"HP_MYOSITIS","SYSTEMATIC_NAME":"M38768","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100614","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100614","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Myositis","DESCRIPTION_FULL":"A general term for inflammation of the muscles without respect to the underlying cause. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_OVARIAN_NEOPLASM","SYSTEMATIC_NAME":"M38769","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100615","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100615","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ovarian neoplasm","DESCRIPTION_FULL":"A tumor (abnormal growth of tissue) of the ovary. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LEYDIG_CELL_NEOPLASIA","SYSTEMATIC_NAME":"M38770","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100618","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100618","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Leydig cell neoplasia","DESCRIPTION_FULL":"The presence of a neoplasm of the testis with origin in a Leydig cell. [HPO:probinson]"}
{"STANDARD_NAME":"HP_GERMINOMA","SYSTEMATIC_NAME":"M38771","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100620","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100620","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Germinoma","DESCRIPTION_FULL":"A type of undifferentiated germ cell tumor that may be benign or malignant. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_DYSGERMINOMA","SYSTEMATIC_NAME":"M38772","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100621","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100621","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Dysgerminoma","DESCRIPTION_FULL":"The presence of a dysgerminoma, i.e., an undifferentiated germ cell tumor of the ovary. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_ENLARGED_THORAX","SYSTEMATIC_NAME":"M38773","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100625","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100625","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Enlarged thorax"}
{"STANDARD_NAME":"HP_CHRONIC_HEPATIC_FAILURE","SYSTEMATIC_NAME":"M38774","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100626","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100626","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Chronic hepatic failure"}
{"STANDARD_NAME":"HP_DISPLACEMENT_OF_THE_URETHRAL_MEATUS","SYSTEMATIC_NAME":"M38775","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100627","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100627","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Displacement of the urethral meatus","DESCRIPTION_FULL":"A displacement of the external urethral orifice from its normal position (in males normally placed at the tip of glans penis, in females normally placed about 2.5 cm behind the glans clitoridis and immediately in front of that of the vagina). [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_NEOPLASM_OF_THE_ADRENAL_GLAND","SYSTEMATIC_NAME":"M38776","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100631","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100631","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neoplasm of the adrenal gland","DESCRIPTION_FULL":"A tumor (abnormal growth of tissue) of the adrenal gland. [DDD:rscott]"}
{"STANDARD_NAME":"HP_ESOPHAGITIS","SYSTEMATIC_NAME":"M38777","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100633","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100633","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Esophagitis","DESCRIPTION_FULL":"Inflammation of the esophagus. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NEUROENDOCRINE_NEOPLASM","SYSTEMATIC_NAME":"M38778","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100634","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100634","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neuroendocrine neoplasm","DESCRIPTION_FULL":"A tumor that originates from a neuroendocrine cell. [NCIT:C3809, PMID:28448665]"}
{"STANDARD_NAME":"HP_NEOPLASM_OF_THE_ADRENAL_CORTEX","SYSTEMATIC_NAME":"M38780","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100641","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100641","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neoplasm of the adrenal cortex","DESCRIPTION_FULL":"The presence of a neoplasm of the adrenal cortex. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_NAIL_COLOR","SYSTEMATIC_NAME":"M38781","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100643","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100643","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of nail color","DESCRIPTION_FULL":"An anomaly of the color of the nail. [HPO:probinson]"}
{"STANDARD_NAME":"HP_THYROIDITIS","SYSTEMATIC_NAME":"M38782","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100646","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100646","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Thyroiditis","DESCRIPTION_FULL":"Inflammation of the thyroid gland. [HPO:probinson]"}
{"STANDARD_NAME":"HP_GRAVES_DISEASE","SYSTEMATIC_NAME":"M38783","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100647","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100647","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Graves disease","DESCRIPTION_FULL":"An autoimmune disease where the thyroid is overactive, producing an excessive amount of thyroid hormones (a serious metabolic imbalance known as hyperthyroidism and thyrotoxicosis). This is caused by autoantibodies to the TSH-receptor (TSHR-Ab) that activate that TSH-receptor (TSHR), thereby stimulating thyroid hormone synthesis and secretion, and thyroid growth (causing a diffusely enlarged goiter). The resulting state of hyperthyroidism can cause a dramatic constellation of neuropsychological and physical signs and symptoms, which can severely compromise the patients. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_NEOPLASM_OF_THE_TONGUE","SYSTEMATIC_NAME":"M38784","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100648","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100648","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neoplasm of the tongue","DESCRIPTION_FULL":"A tumor (abnormal growth of tissue) of the tongue. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NEOPLASM_OF_THE_ORAL_CAVITY","SYSTEMATIC_NAME":"M38785","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100649","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100649","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neoplasm of the oral cavity","DESCRIPTION_FULL":"A tumor (abnormal growth of tissue) of the oral cavity. [HPO:probinson]"}
{"STANDARD_NAME":"HP_VAGINAL_NEOPLASM","SYSTEMATIC_NAME":"M38786","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100650","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100650","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Vaginal neoplasm","DESCRIPTION_FULL":"A tumor (abnormal growth of tissue) of the vagina. [HPO:probinson]"}
{"STANDARD_NAME":"HP_TYPE_I_DIABETES_MELLITUS","SYSTEMATIC_NAME":"M38787","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100651","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100651","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Type I diabetes mellitus","DESCRIPTION_FULL":"A chronic condition in which the pancreas produces little or no insulin. Type I diabetes mellitus is manifested by the sudden onset of severe hyperglycemia with rapid progression to diabetic ketoacidosis unless treated with insulin. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CELLULITIS","SYSTEMATIC_NAME":"M38789","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100658","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100658","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cellulitis","DESCRIPTION_FULL":"A bacterial infection and inflammation of the skin und subcutaneous tissues. []"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_CEREBRAL_VASCULATURE","SYSTEMATIC_NAME":"M38790","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100659","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100659","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the cerebral vasculature","DESCRIPTION_FULL":"An anomaly of the cerebral blood vessels. [PMID:30335330]"}
{"STANDARD_NAME":"HP_DYSKINESIA","SYSTEMATIC_NAME":"M38791","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100660","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100660","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Dyskinesia","DESCRIPTION_FULL":"A movement disorder which consists of effects including diminished voluntary movements and the presence of involuntary movements. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_ANGIOEDEMA","SYSTEMATIC_NAME":"M38793","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100665","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100665","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Angioedema","DESCRIPTION_FULL":"Rapid swelling (edema) of the dermis, subcutaneous tissue, mucosa and submucosal tissues of the skin of the face, normally around the mouth, and the mucosa of the mouth and/or throat, as well as the tongue during a period of minutes to several hours. The swelling can also occur elsewhere, typically in the hands. Angioedema is similar to urticaria, but the swelling is subcutaneous rather than on the epidermis. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_ABNORMAL_PIGMENTATION_OF_THE_ORAL_MUCOSA","SYSTEMATIC_NAME":"M41622","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100669","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100669","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal pigmentation of the oral mucosa","DESCRIPTION_FULL":"An abnormality of the pigmentation of the mucosa of the mouth. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_TRABECULAR_BONE_MORPHOLOGY","SYSTEMATIC_NAME":"M38795","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100671","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100671","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal trabecular bone morphology","DESCRIPTION_FULL":"Abnormal structure or form of trabecular bone. [HPO:probinson]"}
{"STANDARD_NAME":"HP_PREMATURE_SKIN_WRINKLING","SYSTEMATIC_NAME":"M38796","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100678","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100678","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Premature skin wrinkling","DESCRIPTION_FULL":"The presence of an increased degree of wrinkling (irregular folds and indentations) of the skin as compared with age-related norms. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LACK_OF_SKIN_ELASTICITY","SYSTEMATIC_NAME":"M38797","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100679","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100679","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Lack of skin elasticity"}
{"STANDARD_NAME":"HP_ABNORMAL_SHARPEY_FIBER_MORPHOLOGY","SYSTEMATIC_NAME":"M38798","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100685","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100685","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal Sharpey fiber morphology","DESCRIPTION_FULL":"An abnormality of Sharpey's fibers (bone fibers, or perforating fibers), which are a matrix of connective tissue consisting of bundles of strong collagenous fibres connecting periosteum to bone. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_CURVATURE_OF_THE_CORNEA","SYSTEMATIC_NAME":"M38799","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100691","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100691","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the curvature of the cornea"}
{"STANDARD_NAME":"HP_IRIDODONESIS","SYSTEMATIC_NAME":"M38801","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100693","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100693","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Iridodonesis","DESCRIPTION_FULL":"Tremulousness of the iris on movement of the eye, occurring in subluxation of the lens. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_TIBIAL_TORSION","SYSTEMATIC_NAME":"M38802","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100694","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100694","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Tibial torsion","DESCRIPTION_FULL":"Tibial torsion is inward twisting (medial rotation) (PATO:0002155) of the tibia. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_SCARRING","SYSTEMATIC_NAME":"M38803","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100699","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100699","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Scarring"}
{"STANDARD_NAME":"HP_ABNORMAL_ARACHNOID_MATER_MORPHOLOGY","SYSTEMATIC_NAME":"M38804","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100700","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100700","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal arachnoid mater morphology","DESCRIPTION_FULL":"An abnormality of the Arachnoid mater. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_TONGUE_THRUSTING","SYSTEMATIC_NAME":"M41623","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100703","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100703","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Tongue thrusting"}
{"STANDARD_NAME":"HP_CEREBRAL_VISUAL_IMPAIRMENT","SYSTEMATIC_NAME":"M38805","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100704","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100704","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cerebral visual impairment","DESCRIPTION_FULL":"A form of loss of vision caused by damage to the visual cortex rather than a defect in the eye. [HPO:probinson, PMID:28082927]"}
{"STANDARD_NAME":"HP_ABNORMAL_GLIAL_CELL_MORPHOLOGY","SYSTEMATIC_NAME":"M38806","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100705","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100705","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal glial cell morphology","DESCRIPTION_FULL":"An abnormality of the glia cell. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_ASTROCYTE_MORPHOLOGY","SYSTEMATIC_NAME":"M38807","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100707","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100707","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal astrocyte morphology","DESCRIPTION_FULL":"An abnormality of astrocytes. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_THORACIC_SPINE_MORPHOLOGY","SYSTEMATIC_NAME":"M38808","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100711","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100711","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal thoracic spine morphology","DESCRIPTION_FULL":"An abnormality of the thoracic vertebral column. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_LUMBAR_SPINE_MORPHOLOGY","SYSTEMATIC_NAME":"M38809","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100712","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100712","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal lumbar spine morphology","DESCRIPTION_FULL":"Any structural abnormality of the lumbar vertebral column. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SELF_INJURIOUS_BEHAVIOR","SYSTEMATIC_NAME":"M38810","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100716","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100716","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Self-injurious behavior","DESCRIPTION_FULL":"Aggression towards oneself. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_HYPOPLASIA_OF_THE_EAR_CARTILAGE","SYSTEMATIC_NAME":"M38811","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100720","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100720","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypoplasia of the ear cartilage"}
{"STANDARD_NAME":"HP_MEDIASTINAL_LYMPHADENOPATHY","SYSTEMATIC_NAME":"M38812","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100721","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100721","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Mediastinal lymphadenopathy","DESCRIPTION_FULL":"Swelling of lymph nodes within the mediastinum, the central compartment of the thoracic cavities that contains the heart and the great vessels, the esophagus, and trachea and other structures including lymph nodes. [HPO:probinson]"}
{"STANDARD_NAME":"HP_GASTROINTESTINAL_STROMA_TUMOR","SYSTEMATIC_NAME":"M38813","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100723","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100723","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Gastrointestinal stroma tumor"}
{"STANDARD_NAME":"HP_HYPERCOAGULABILITY","SYSTEMATIC_NAME":"M38814","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100724","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100724","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypercoagulability","DESCRIPTION_FULL":"An abnormality of coagulation associated with an increased risk of thrombosis. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LICHENIFICATION","SYSTEMATIC_NAME":"M38815","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100725","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100725","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Lichenification","DESCRIPTION_FULL":"Thickening and hardening of the epidermis seen with exaggeration of normal skin lines. [HPO:probinson]"}
{"STANDARD_NAME":"HP_GERM_CELL_NEOPLASIA","SYSTEMATIC_NAME":"M38816","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100728","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100728","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Germ cell neoplasia"}
{"STANDARD_NAME":"HP_LARGE_FACE","SYSTEMATIC_NAME":"M38817","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100729","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100729","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Large face"}
{"STANDARD_NAME":"HP_PANCREATIC_FIBROSIS","SYSTEMATIC_NAME":"M38818","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100732","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100732","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pancreatic fibrosis"}
{"STANDARD_NAME":"HP_NEOPLASM_OF_THE_PARATHYROID_GLAND","SYSTEMATIC_NAME":"M38819","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100733","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100733","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neoplasm of the parathyroid gland","DESCRIPTION_FULL":"A tumor (abnormal growth of tissue) of the parathyroid gland. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HYPERTENSIVE_CRISIS","SYSTEMATIC_NAME":"M38820","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100735","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100735","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypertensive crisis"}
{"STANDARD_NAME":"HP_ABNORMAL_SOFT_PALATE_MORPHOLOGY","SYSTEMATIC_NAME":"M38821","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100736","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100736","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal soft palate morphology","DESCRIPTION_FULL":"An abnormality of the soft palate. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_EATING_BEHAVIOR","SYSTEMATIC_NAME":"M38822","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100738","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100738","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal eating behavior","DESCRIPTION_FULL":"Abnormal eating habit with excessive or insufficient consumption of food or any other abnormal pattern of food consumption. []"}
{"STANDARD_NAME":"HP_VASCULAR_NEOPLASM","SYSTEMATIC_NAME":"M38823","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100742","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100742","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Vascular neoplasm","DESCRIPTION_FULL":"A benign or malignant neoplasm (tumour) originating in the vascular system. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NEOPLASM_OF_THE_RECTUM","SYSTEMATIC_NAME":"M38824","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100743","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100743","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neoplasm of the rectum"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_HUMERORADIAL_JOINT","SYSTEMATIC_NAME":"M38825","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100744","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100744","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the humeroradial joint"}
{"STANDARD_NAME":"HP_CHEST_PAIN","SYSTEMATIC_NAME":"M38826","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100749","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100749","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Chest pain","DESCRIPTION_FULL":"An unpleasant sensation characterized by physical discomfort (such as pricking, throbbing, or aching) localized to the chest. []"}
{"STANDARD_NAME":"HP_ATELECTASIS","SYSTEMATIC_NAME":"M38827","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100750","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100750","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Atelectasis","DESCRIPTION_FULL":"Collapse of part of a lung associated with absence of inflation (air) of that part. [HPPO:probinson]"}
{"STANDARD_NAME":"HP_ESOPHAGEAL_NEOPLASM","SYSTEMATIC_NAME":"M38828","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100751","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100751","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Esophageal neoplasm","DESCRIPTION_FULL":"A tumor (abnormal growth of tissue) of the esophagus. []"}
{"STANDARD_NAME":"HP_SCHIZOPHRENIA","SYSTEMATIC_NAME":"M38829","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100753","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100753","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Schizophrenia","DESCRIPTION_FULL":"A mental disorder characterized by a disintegration of thought processes and of emotional responsiveness. It most commonly manifests as auditory hallucinations, paranoid or bizarre delusions, or disorganized speech and thinking, and it is accompanied by significant social or occupational dysfunction. The onset of symptoms typically occurs in young adulthood, with a global lifetime prevalence of about 0.3-0.7%. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_MANIA","SYSTEMATIC_NAME":"M38830","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100754","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100754","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Mania","DESCRIPTION_FULL":"A state of abnormally elevated or irritable mood, arousal, and or energy levels. [PMID:15104084]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_SALIVATION","SYSTEMATIC_NAME":"M38831","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100755","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100755","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of salivation"}
{"STANDARD_NAME":"HP_GANGRENE","SYSTEMATIC_NAME":"M38832","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100758","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100758","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Gangrene","DESCRIPTION_FULL":"A serious and potentially life-threatening condition that arises when a considerable mass of body tissue dies (necrosis). [ISBN:9780781770873]"}
{"STANDARD_NAME":"HP_CLUBBING_OF_FINGERS","SYSTEMATIC_NAME":"M38833","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100759","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100759","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Clubbing of fingers","DESCRIPTION_FULL":"Terminal broadening of the fingers (distal phalanges of the fingers). [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_CLUBBING_OF_TOES","SYSTEMATIC_NAME":"M38834","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100760","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100760","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Clubbing of toes","DESCRIPTION_FULL":"Terminal broadening of the toes (distal phalanges of the toes). [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_VISCERAL_ANGIOMATOSIS","SYSTEMATIC_NAME":"M41624","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100761","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100761","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Visceral angiomatosis"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_LYMPHATIC_SYSTEM","SYSTEMATIC_NAME":"M38835","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100763","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100763","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the lymphatic system","DESCRIPTION_FULL":"An anomaly of the lymphatic system, a network of lymphatic vessels that carry a clear fluid called lymph unidirectionally towards either the right lymphatic duct or the thoracic duct, which in turn drain into the right and left subclavian veins respectively. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LYMPHANGIOMA","SYSTEMATIC_NAME":"M38836","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100764","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100764","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Lymphangioma","DESCRIPTION_FULL":"Lymphangiomas are rare congenital malformations consisting of focal proliferations of well-differentiated lymphatic tissue in multi cystic or sponge like structures. Lymphangioma is usually asymptomatic due to its soft consistency but compression of adjacent structures can be seen due to the mass effect of a large tumor. [HPO:probinson, PMID:12376602]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_TONSILS","SYSTEMATIC_NAME":"M38837","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100765","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100765","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the tonsils","DESCRIPTION_FULL":"An abnormality of the tonsils. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_LYMPHATIC_VESSEL_MORPHOLOGY","SYSTEMATIC_NAME":"M38838","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100766","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100766","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal lymphatic vessel morphology","DESCRIPTION_FULL":"A structural anomaly of the vessel that contains or conveys lymph fluid. [https://en.wikipedia.org/wiki/Lymphatic_vessel]"}
{"STANDARD_NAME":"HP_ABNORMAL_PLACENTA_MORPHOLOGY","SYSTEMATIC_NAME":"M38839","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100767","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100767","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal placenta morphology","DESCRIPTION_FULL":"An abnormality of the placenta, the organ that connects the developing fetus to the uterine wall to enable nutrient uptake, waste elimination, and gas exchange. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SYNOVITIS","SYSTEMATIC_NAME":"M38841","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100769","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100769","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Synovitis"}
{"STANDARD_NAME":"HP_HYPEROSTOSIS","SYSTEMATIC_NAME":"M38842","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100774","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100774","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hyperostosis","DESCRIPTION_FULL":"Excessive growth or abnormal thickening of bone tissue. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RECURRENT_PHARYNGITIS","SYSTEMATIC_NAME":"M38843","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100776","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100776","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Recurrent pharyngitis","DESCRIPTION_FULL":"An increased susceptibility to pharyngitis as manifested by a history of recurrent pharyngitis. [HPO:probinson]"}
{"STANDARD_NAME":"HP_EXOSTOSES","SYSTEMATIC_NAME":"M38844","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100777","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100777","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Exostoses","DESCRIPTION_FULL":"An exostosis is a benign growth the projects outward from the bone surface. It is capped by cartilage, and arises from a bone that develops from cartilage. [HPO:probinson]"}
{"STANDARD_NAME":"HP_UROGENITAL_SINUS_ANOMALY","SYSTEMATIC_NAME":"M38845","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100779","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100779","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Urogenital sinus anomaly","DESCRIPTION_FULL":"A rare birth defect in women where the urethra and vagina both open into a common channel. [HPO:curators]"}
{"STANDARD_NAME":"HP_CONJUNCTIVAL_HAMARTOMA","SYSTEMATIC_NAME":"M38846","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100780","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100780","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Conjunctival hamartoma","DESCRIPTION_FULL":"A hamartoma (disordered proliferation of mature tissues) of the conjunctiva. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_SACROILIAC_JOINT","SYSTEMATIC_NAME":"M38847","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100781","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100781","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the sacroiliac joint","DESCRIPTION_FULL":"An anomaly of the sacroiliac joint, which connects the base of the spine (sacrum) to the ilium (a hip bone). [HPO:probinson, PMID:16700283]"}
{"STANDARD_NAME":"HP_BREAST_APLASIA","SYSTEMATIC_NAME":"M38848","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100783","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100783","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Breast aplasia","DESCRIPTION_FULL":"Failure to develop and congenital absence of the breast. []"}
{"STANDARD_NAME":"HP_PERIPHERAL_ARTERIOVENOUS_FISTULA","SYSTEMATIC_NAME":"M41625","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100784","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100784","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Peripheral arteriovenous fistula"}
{"STANDARD_NAME":"HP_INSOMNIA","SYSTEMATIC_NAME":"M38849","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100785","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100785","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Insomnia"}
{"STANDARD_NAME":"HP_HYPERSOMNIA","SYSTEMATIC_NAME":"M38850","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100786","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100786","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypersomnia"}
{"STANDARD_NAME":"HP_PROSTATE_NEOPLASM","SYSTEMATIC_NAME":"M38851","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100787","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100787","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Prostate neoplasm"}
{"STANDARD_NAME":"HP_HERNIA","SYSTEMATIC_NAME":"M38852","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100790","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100790","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hernia"}
{"STANDARD_NAME":"HP_ACANTHOLYSIS","SYSTEMATIC_NAME":"M38853","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100792","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100792","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Acantholysis","DESCRIPTION_FULL":"The loss of intercellular connections, such as desmosomes, resulting in loss of cohesion between keratinocytes. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_ORCHITIS","SYSTEMATIC_NAME":"M38854","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100796","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100796","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Orchitis","DESCRIPTION_FULL":"Testicular inflammation. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_TOENAIL_DYSPLASIA","SYSTEMATIC_NAME":"M38855","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100797","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100797","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Toenail dysplasia","DESCRIPTION_FULL":"An abnormality of the development of the toenails. [HPO:probinson]"}
{"STANDARD_NAME":"HP_FINGERNAIL_DYSPLASIA","SYSTEMATIC_NAME":"M38856","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100798","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100798","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Fingernail dysplasia","DESCRIPTION_FULL":"An abnormality of the development of the fingernails. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NEOPLASM_OF_THE_MIDDLE_EAR","SYSTEMATIC_NAME":"M41626","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100799","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100799","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neoplasm of the middle ear","DESCRIPTION_FULL":"A tumor (abnormal growth of tissue) of the middle ear. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_PERIUNGUAL_REGION","SYSTEMATIC_NAME":"M38858","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100803","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100803","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the periungual region","DESCRIPTION_FULL":"An abnormality of the region around the nails of the fingers or toes. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SEPSIS","SYSTEMATIC_NAME":"M38859","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100806","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100806","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Sepsis","DESCRIPTION_FULL":"Systemic inflammatory response to infection. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LONG_FINGERS","SYSTEMATIC_NAME":"M38860","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100807","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100807","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Long fingers","DESCRIPTION_FULL":"The middle finger is more than 2 SD above the mean for newborns 27 to 41 weeks EGA or above the 97th centile for children from birth to 16 years of age AND the five digits retain their normal length proportions relative to each other (i.e., it is not the case that the middle finger is the only lengthened digit), or, Fingers that appear disproportionately long compared to the palm of the hand. [PMID:19125433]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_COLON","SYSTEMATIC_NAME":"M38861","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100811","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100811","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the colon","DESCRIPTION_FULL":"Congenital absence or underdevelopment of the colon. [HPO:probinson]"}
{"STANDARD_NAME":"HP_HALITOSIS","SYSTEMATIC_NAME":"M41627","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100812","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100812","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Halitosis","DESCRIPTION_FULL":"Noticeably unpleasant odors exhaled in breathing. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_BLUE_NEVUS","SYSTEMATIC_NAME":"M41628","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100814","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100814","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Blue nevus"}
{"STANDARD_NAME":"HP_RENOVASCULAR_HYPERTENSION","SYSTEMATIC_NAME":"M38862","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100817","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100817","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Renovascular hypertension","DESCRIPTION_FULL":"The presence of hypertension related to stenosis of the renal artery. [HPO:probinson]"}
{"STANDARD_NAME":"HP_LONG_THORAX","SYSTEMATIC_NAME":"M38863","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100818","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100818","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Long thorax","DESCRIPTION_FULL":"Increased inferior to superior extent of the thorax. [HPO:probinson]"}
{"STANDARD_NAME":"HP_INTESTINAL_FISTULA","SYSTEMATIC_NAME":"M38864","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100819","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100819","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Intestinal fistula","DESCRIPTION_FULL":"An abnormal connection between the gut and another hollow organ, such as the bladder, urethra, vagina, or other regions of the gastrointestinal tract. [HPO:probinson]"}
{"STANDARD_NAME":"HP_GLOMERULOPATHY","SYSTEMATIC_NAME":"M38865","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100820","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100820","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Glomerulopathy","DESCRIPTION_FULL":"Inflammatory or noninflammatory diseases affecting the glomeruli of the nephron. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_CHEILITIS","SYSTEMATIC_NAME":"M38867","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100825","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100825","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cheilitis","DESCRIPTION_FULL":"Inflammation of the lip. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_LYMPHOCYTOSIS","SYSTEMATIC_NAME":"M38868","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100827","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100827","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Lymphocytosis","DESCRIPTION_FULL":"Increase in the number or proportion of lymphocytes in the blood. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_GALACTORRHEA","SYSTEMATIC_NAME":"M38869","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100829","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100829","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Galactorrhea","DESCRIPTION_FULL":"Spontaneous flow of milk from the breast, unassociated with childbirth or nursing. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_ROUND_EAR","SYSTEMATIC_NAME":"M38870","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100830","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100830","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Round ear"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_VITAMIN_K_METABOLISM","SYSTEMATIC_NAME":"M38871","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100831","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100831","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of vitamin K metabolism","DESCRIPTION_FULL":"Vitamin K is a fat-soluble vitamin with a role in promoting the coagulation cascade. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NEOPLASM_OF_THE_SMALL_INTESTINE","SYSTEMATIC_NAME":"M38872","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100833","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100833","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neoplasm of the small intestine","DESCRIPTION_FULL":"The presence of a neoplasm of the small intestine. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NEOPLASM_OF_THE_LARGE_INTESTINE","SYSTEMATIC_NAME":"M38873","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100834","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100834","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neoplasm of the large intestine","DESCRIPTION_FULL":"The presence of a neoplasm of the large intestine. [HPO:probinson]"}
{"STANDARD_NAME":"HP_BENIGN_NEOPLASM_OF_THE_CENTRAL_NERVOUS_SYSTEM","SYSTEMATIC_NAME":"M38874","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100835","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100835","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Benign neoplasm of the central nervous system"}
{"STANDARD_NAME":"HP_MALIGNANT_NEOPLASM_OF_THE_CENTRAL_NERVOUS_SYSTEM","SYSTEMATIC_NAME":"M38875","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100836","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100836","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Malignant neoplasm of the central nervous system","DESCRIPTION_FULL":"A tumor that originates in the pineal gland, has moderate cellularity and tends to form rosette patterns. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RECURRENT_CUTANEOUS_ABSCESS_FORMATION","SYSTEMATIC_NAME":"M38876","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100838","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100838","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Recurrent cutaneous abscess formation","DESCRIPTION_FULL":"An increased susceptibility to cutaneous abscess formation, as manifested by a medical history of recurrent cutaneous abscesses. [HPO:probinson]"}
{"STANDARD_NAME":"HP_APLASIA_HYPOPLASIA_OF_THE_EYEBROW","SYSTEMATIC_NAME":"M38877","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100840","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100840","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia/Hypoplasia of the eyebrow","DESCRIPTION_FULL":"Absence or underdevelopment of the eyebrow. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SEPTO_OPTIC_DYSPLASIA","SYSTEMATIC_NAME":"M38878","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100842","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100842","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Septo-optic dysplasia","DESCRIPTION_FULL":"Underdevelopment of the optic nerve and absence of the septum pellucidum. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_ANAPHYLACTIC_SHOCK","SYSTEMATIC_NAME":"M38879","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100845","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100845","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Anaphylactic shock","DESCRIPTION_FULL":"An acute hypersensitivity reaction due to exposure to a previously encountered antigen. [HPO:probinson]"}
{"STANDARD_NAME":"HP_NEOPLASM_OF_THE_MALE_EXTERNAL_GENITALIA","SYSTEMATIC_NAME":"M38880","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100848","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100848","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neoplasm of the male external genitalia","DESCRIPTION_FULL":"A tumor (abnormal growth of tissue) of the male external genitalia. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_ABNORMAL_EMOTION_AFFECT_BEHAVIOR","SYSTEMATIC_NAME":"M38881","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100851","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100851","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal emotion/affect behavior","DESCRIPTION_FULL":"An abnormality of emotional behaviour. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_ABNORMAL_FEAR_ANXIETY_RELATED_BEHAVIOR","SYSTEMATIC_NAME":"M38882","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100852","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100852","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal fear/anxiety-related behavior","DESCRIPTION_FULL":"An abnormality of fear/anxiety-related behavior, which may relate to either abnormally reduced fear/anxiety-related response or increased fear/anxiety-related response. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_APLASIA_OF_THE_MUSCULATURE","SYSTEMATIC_NAME":"M38883","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100854","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100854","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Aplasia of the musculature","DESCRIPTION_FULL":"Absence of the musculature. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_SHORT_ILIAC_BONES","SYSTEMATIC_NAME":"M41629","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100866","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100866","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Short iliac bones","DESCRIPTION_FULL":"Underdevelopment of the iliac bones. [PMID:29019756]"}
{"STANDARD_NAME":"HP_DUODENAL_STENOSIS","SYSTEMATIC_NAME":"M38884","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100867","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100867","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Duodenal stenosis","DESCRIPTION_FULL":"The narrowing or partial blockage of a portion of the duodenum. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_PALMAR_TELANGIECTASIA","SYSTEMATIC_NAME":"M38885","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100869","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100869","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Palmar telangiectasia","DESCRIPTION_FULL":"The presence of telangiectases on the skin of palm of hand. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_PALM","SYSTEMATIC_NAME":"M38886","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100871","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100871","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the palm","DESCRIPTION_FULL":"An abnormality of the palm, that is, of the front of the hand. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_PLANTAR_SKIN_OF_FOOT","SYSTEMATIC_NAME":"M38887","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100872","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100872","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the plantar skin of foot","DESCRIPTION_FULL":"An abnormality of the plantar part of foot, that is of the soles of the feet. [HPO:probinson]"}
{"STANDARD_NAME":"HP_THICK_HAIR","SYSTEMATIC_NAME":"M38888","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100874","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100874","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Thick hair","DESCRIPTION_FULL":"Increased density of hairs, i.e., and elevated number of hairs per unit area. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ENLARGED_OVARIES","SYSTEMATIC_NAME":"M38889","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100879","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100879","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Enlarged ovaries"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_GLOBE_LOCATION","SYSTEMATIC_NAME":"M38890","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100886","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100886","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of globe location","DESCRIPTION_FULL":"An abnormality in the placement of the ocular globe (eyeball). [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_GLOBE_SIZE","SYSTEMATIC_NAME":"M38891","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100887","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100887","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of globe size","DESCRIPTION_FULL":"An abnormality in the size of the ocular globe (eyeball). [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_RECTAL_POLYPOSIS","SYSTEMATIC_NAME":"M38892","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100896","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100896","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Rectal polyposis","DESCRIPTION_FULL":"The presence of multiple rectal hyperplastic/adenomatous polyps. [HPO:probinson]"}
{"STANDARD_NAME":"HP_CONNECTIVE_TISSUE_NEVI","SYSTEMATIC_NAME":"M38893","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100898","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100898","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Connective tissue nevi","DESCRIPTION_FULL":"Connective tissue nevi are hamartomas in which one or several components of the dermis is altered. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_SCLEROSIS_OF_FINGER_PHALANX","SYSTEMATIC_NAME":"M38894","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100899","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100899","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Sclerosis of finger phalanx","DESCRIPTION_FULL":"An elevation in bone density in one or more phalanges of the fingers. Sclerosis is normally detected on a radiograph as an area of increased opacity. [HPO:probinson]"}
{"STANDARD_NAME":"HP_OPEN_OPERCULUM","SYSTEMATIC_NAME":"M41630","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100954","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100954","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Open operculum","DESCRIPTION_FULL":"Underdevelopment of the operculum. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_ABNORMAL_RENAL_MEDULLA_MORPHOLOGY","SYSTEMATIC_NAME":"M38895","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100957","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100957","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal renal medulla morphology","DESCRIPTION_FULL":"Any structural abnormality of the medulla of the kidney. [HPO:probinson, PMID:22343825]"}
{"STANDARD_NAME":"HP_NARROW_FORAMEN_OBTURATORIUM","SYSTEMATIC_NAME":"M38896","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100958","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100958","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Narrow foramen obturatorium","DESCRIPTION_FULL":"Decreased width of the foramen obturatorium. The foramen obturatorium (also known as the obturator foramen) is a hole located between the ischium and pubis bones of the pelvis. [HPO:probinson]"}
{"STANDARD_NAME":"HP_SHYNESS","SYSTEMATIC_NAME":"M38897","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100962","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100962","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Shyness"}
{"STANDARD_NAME":"HP_HYPERESTHESIA","SYSTEMATIC_NAME":"M38898","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0100963","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0100963","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hyperesthesia"}
{"STANDARD_NAME":"HP_ABNORMAL_SHAPE_OF_THE_PALPEBRAL_FISSURE","SYSTEMATIC_NAME":"M38899","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0200005","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0200005","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal shape of the palpebral fissure","DESCRIPTION_FULL":"The presence of an abnormal shape of the palpebral fissure. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABNORMAL_SIZE_OF_THE_PALPEBRAL_FISSURES","SYSTEMATIC_NAME":"M38900","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0200007","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0200007","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal size of the palpebral fissures","DESCRIPTION_FULL":"An abnormal size of the palpebral fissures for example unusually long or short palpebral fissures. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_ABNORMAL_LENGTH_OF_CORPUS_CALLOSUM","SYSTEMATIC_NAME":"M41631","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0200011","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0200011","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal length of corpus callosum"}
{"STANDARD_NAME":"HP_NEOPLASM_OF_FATTY_TISSUE","SYSTEMATIC_NAME":"M38901","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0200013","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0200013","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neoplasm of fatty tissue","DESCRIPTION_FULL":"A tumor (abnormal growth of tissue) of adipose tissue. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_CORNEAL_EROSION","SYSTEMATIC_NAME":"M38902","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0200020","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0200020","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Corneal erosion","DESCRIPTION_FULL":"An erosion or abrasion of the cornea's outermost layer of epithelial cells. [HPO:sdoelken]"}
{"STANDARD_NAME":"HP_DOWN_SLOPING_SHOULDERS","SYSTEMATIC_NAME":"M38903","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0200021","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0200021","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Down-sloping shoulders","DESCRIPTION_FULL":"Low set, steeply sloping shoulders. [HPO:probinson]"}
{"STANDARD_NAME":"HP_OCULAR_PAIN","SYSTEMATIC_NAME":"M38904","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0200026","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0200026","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Ocular pain","DESCRIPTION_FULL":"An unpleasant sensation characterized by physical discomfort (such as pricking, throbbing, or aching) localized to the eye. []"}
{"STANDARD_NAME":"HP_PAPULE","SYSTEMATIC_NAME":"M38905","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0200034","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0200034","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Papule","DESCRIPTION_FULL":"A circumscribed, solid elevation of skin with no visible fluid, varying in size from a pinhead to less than 10mm in diameter at the widest point. [HPO:skoehler]"}
{"STANDARD_NAME":"HP_SKIN_PLAQUE","SYSTEMATIC_NAME":"M38906","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0200035","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0200035","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Skin plaque","DESCRIPTION_FULL":"A plaque is a solid, raised, plateau-like (flat-topped) lesion greater than 1 cm in diameter. [HPO:skoehler]"}
{"STANDARD_NAME":"HP_SKIN_NODULE","SYSTEMATIC_NAME":"M38907","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0200036","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0200036","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Skin nodule","DESCRIPTION_FULL":"Morphologically similar to a papule, but greater than either 10mm in both width and depth, and most frequently centered in the dermis or subcutaneous fat. [HPO:skoehler]"}
{"STANDARD_NAME":"HP_SKIN_VESICLE","SYSTEMATIC_NAME":"M38908","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0200037","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0200037","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Skin vesicle","DESCRIPTION_FULL":"A circumscribed, fluid-containing, epidermal elevation generally considered less than 10mm in diameter at the widest point. [HPO:SKOEHLER]"}
{"STANDARD_NAME":"HP_PUSTULE","SYSTEMATIC_NAME":"M38909","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0200039","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0200039","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pustule","DESCRIPTION_FULL":"A small elevation of the skin containing cloudy or purulent material usually consisting of necrotic inflammatory cells. [HPO:skoehler]"}
{"STANDARD_NAME":"HP_EPIDERMOID_CYST","SYSTEMATIC_NAME":"M38910","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0200040","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0200040","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Epidermoid cyst","DESCRIPTION_FULL":"Nontender, round and firm, but slightly compressible, intradermal or subcutaneous cyst measuring 0.5-5 cm in diameter. Epidermal cysts are intradermal or subcutaneous tumors, grow slowly and occur on the face, neck, back and scrotum. They usually appear at or around puberty, and as a rule an affected individual has one solitary or a few cysts. [HPO:skoehler]"}
{"STANDARD_NAME":"HP_SKIN_EROSION","SYSTEMATIC_NAME":"M38911","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0200041","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0200041","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Skin erosion","DESCRIPTION_FULL":"A discontinuity of the skin exhibiting incomplete loss of the epidermis, a lesion that is moist, circumscribed, and usually depressed. [HPO:skoehler]"}
{"STANDARD_NAME":"HP_SKIN_ULCER","SYSTEMATIC_NAME":"M38912","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0200042","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0200042","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Skin ulcer","DESCRIPTION_FULL":"A discontinuity of the skin exhibiting complete loss of the epidermis and often portions of the dermis and even subcutaneous fat. [HPO:skoehler]"}
{"STANDARD_NAME":"HP_VERRUCAE","SYSTEMATIC_NAME":"M38913","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0200043","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0200043","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Verrucae","DESCRIPTION_FULL":"Warts, benign growths on the skin or mucous membranes that cause cosmetic problems as well as pain and discomfort. Warts most often occur on the hands, feet, and genital areas. [HPO:skoehler]"}
{"STANDARD_NAME":"HP_POROKERATOSIS","SYSTEMATIC_NAME":"M38914","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0200044","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0200044","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Porokeratosis","DESCRIPTION_FULL":"A clonal disorder of keratinization with one or multiple atrophic patches surrounded by a clinically and histologically distinctive hyperkeratotic ridgelike border called the cornoid lamella. [HPO:skoehler]"}
{"STANDARD_NAME":"HP_CYANOTIC_EPISODE","SYSTEMATIC_NAME":"M38915","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0200048","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0200048","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cyanotic episode"}
{"STANDARD_NAME":"HP_UPPER_LIMB_HYPERTONIA","SYSTEMATIC_NAME":"M41632","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0200049","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0200049","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Upper limb hypertonia"}
{"STANDARD_NAME":"HP_SMALL_HAND","SYSTEMATIC_NAME":"M38916","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0200055","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0200055","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Small hand","DESCRIPTION_FULL":"Disproportionately small hand. [HPO:probinson]"}
{"STANDARD_NAME":"HP_COLORECTAL_POLYPOSIS","SYSTEMATIC_NAME":"M38918","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0200063","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0200063","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Colorectal polyposis","DESCRIPTION_FULL":"Multiple abnormal growths that arise from the lining of the large intestine (colon or rectum) and protrude into the intestinal lumen. []"}
{"STANDARD_NAME":"HP_CHORIORETINAL_DEGENERATION","SYSTEMATIC_NAME":"M38919","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0200065","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0200065","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Chorioretinal degeneration"}
{"STANDARD_NAME":"HP_RECURRENT_SPONTANEOUS_ABORTION","SYSTEMATIC_NAME":"M38920","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0200067","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0200067","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Recurrent spontaneous abortion","DESCRIPTION_FULL":"Repeated episodes of abortion (Expulsion of the product of fertilization before completing the term of gestation) without deliberate interference. [HPO:probinson]"}
{"STANDARD_NAME":"HP_RESPIRATORY_INSUFFICIENCY_DUE_TO_DEFECTIVE_CILIARY_CLEARANCE","SYSTEMATIC_NAME":"M38921","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0200073","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0200073","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Respiratory insufficiency due to defective ciliary clearance"}
{"STANDARD_NAME":"HP_LIMB_TREMOR","SYSTEMATIC_NAME":"M38922","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0200085","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0200085","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Limb tremor"}
{"STANDARD_NAME":"HP_ORAL_MUCOSAL_BLISTERS","SYSTEMATIC_NAME":"M38924","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0200097","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0200097","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Oral mucosal blisters","DESCRIPTION_FULL":"Blisters arising in the mouth. [HPO:probinson]"}
{"STANDARD_NAME":"HP_ABSENT_SKIN_PIGMENTATION","SYSTEMATIC_NAME":"M41633","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0200098","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0200098","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Absent skin pigmentation","DESCRIPTION_FULL":"Lack of skin pigmentation (coloring). [HPO:probinson]"}
{"STANDARD_NAME":"HP_DECREASED_ABSENT_ANKLE_REFLEXES","SYSTEMATIC_NAME":"M38925","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0200101","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0200101","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased/absent ankle reflexes"}
{"STANDARD_NAME":"HP_SPARSE_OR_ABSENT_EYELASHES","SYSTEMATIC_NAME":"M38926","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0200102","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0200102","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Sparse or absent eyelashes"}
{"STANDARD_NAME":"HP_ABSENT_SHORTENED_DYNEIN_ARMS","SYSTEMATIC_NAME":"M38927","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0200106","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0200106","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Absent/shortened dynein arms"}
{"STANDARD_NAME":"HP_METABOLIC_ALKALOSIS","SYSTEMATIC_NAME":"M38928","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0200114","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0200114","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Metabolic alkalosis","DESCRIPTION_FULL":"Metabolic alkalosis is defined as a disease state where the pH is elevated to greater than 7.45 secondary to some metabolic process. [PMID:29493916]"}
{"STANDARD_NAME":"HP_RECURRENT_UPPER_AND_LOWER_RESPIRATORY_TRACT_INFECTIONS","SYSTEMATIC_NAME":"M38929","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0200117","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0200117","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Recurrent upper and lower respiratory tract infections","DESCRIPTION_FULL":"Increased susceptibility to upper and lower respiratory tract infections, as manifested by recurrent episodes of upper and lower respiratory tract infections. []"}
{"STANDARD_NAME":"HP_CHRONIC_ACTIVE_HEPATITIS","SYSTEMATIC_NAME":"M38930","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0200120","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0200120","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Chronic active hepatitis","DESCRIPTION_FULL":"Chronic hepatitis associated with recurrent clinical exacerbations, extrahepatic manifestations, and progression to cirrhosis. [PMID:7418593]"}
{"STANDARD_NAME":"HP_CHRONIC_HEPATITIS","SYSTEMATIC_NAME":"M38931","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0200123","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0200123","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Chronic hepatitis","DESCRIPTION_FULL":"Hepatitis that lasts for more than six months. [https://patient.info/doctor/chronic-hepatitis]"}
{"STANDARD_NAME":"HP_CHRONIC_HEPATITIS_DUE_TO_CRYPTOSPORIDIUM_INFECTION","SYSTEMATIC_NAME":"M38932","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0200124","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0200124","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Chronic hepatitis due to cryptosporidium infection","DESCRIPTION_FULL":"Chronic hepatitis associated with infection by cryptosporidia, as demonstrated (for example) by immunohistochemistry of liver tissue. [PMID:23440042]"}
{"STANDARD_NAME":"HP_MITOCHONDRIAL_RESPIRATORY_CHAIN_DEFECTS","SYSTEMATIC_NAME":"M38933","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0200125","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0200125","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Mitochondrial respiratory chain defects"}
{"STANDARD_NAME":"HP_BIVENTRICULAR_HYPERTROPHY","SYSTEMATIC_NAME":"M38934","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0200128","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0200128","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Biventricular hypertrophy","DESCRIPTION_FULL":"Thickening of the heart walls in both ventricles. [PMID:28740584]"}
{"STANDARD_NAME":"HP_EPILEPTIC_ENCEPHALOPATHY","SYSTEMATIC_NAME":"M38935","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0200134","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0200134","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Epileptic encephalopathy","DESCRIPTION_FULL":"A condition in which epileptiform abnormalities are believed to contribute to the progressive disturbance in cerebral function. Epileptic encephalaopathy is characterized by (1) electrographic EEG paroxysmal activity that is often aggressive, (2) seizures that are usually multiform and intractable, (3) cognitive, behavioral and neurological deficits that may be relentless, and (4) sometimes early death. [PMID:21590624, PMID:23213494]"}
{"STANDARD_NAME":"HP_ORAL_PHARYNGEAL_DYSPHAGIA","SYSTEMATIC_NAME":"M38936","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0200136","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0200136","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Oral-pharyngeal dysphagia"}
{"STANDARD_NAME":"HP_NEURONAL_LOSS_IN_BASAL_GANGLIA","SYSTEMATIC_NAME":"M38937","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0200147","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0200147","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Neuronal loss in basal ganglia","DESCRIPTION_FULL":"A reduction in the number of nerve cells in the basal ganglia. [HPO:probinson, PMID:13729575]"}
{"STANDARD_NAME":"HP_AGENESIS_OF_LATERAL_INCISOR","SYSTEMATIC_NAME":"M38938","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0200153","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0200153","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Agenesis of lateral incisor"}
{"STANDARD_NAME":"HP_AGENESIS_OF_MAXILLARY_INCISOR","SYSTEMATIC_NAME":"M38939","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0200160","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0200160","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Agenesis of maxillary incisor"}
{"STANDARD_NAME":"HP_TALL_CHIN","SYSTEMATIC_NAME":"M41634","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0400000","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0400000","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Tall chin","DESCRIPTION_FULL":"Increased vertical distance from the vermillion border of the lower lip to the inferior-most point of the chin. [eom:96d8ca16a3c80216, PMID:19125436]"}
{"STANDARD_NAME":"HP_MENOMETRORRHAGIA","SYSTEMATIC_NAME":"M38940","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0400008","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0400008","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Menometrorrhagia","DESCRIPTION_FULL":"Prolonged/excessive menses and bleeding at irregular intervals. [PMID:22594864]"}
{"STANDARD_NAME":"HP_CLEFT_HARD_PALATE","SYSTEMATIC_NAME":"M41635","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0410005","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0410005","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cleft hard palate"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_THE_PERIPHERAL_NERVOUS_SYSTEM","SYSTEMATIC_NAME":"M38941","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0410008","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0410008","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of the peripheral nervous system","DESCRIPTION_FULL":"Any abnormality of the part of the nervous system that consists of the nerves and ganglia outside of the brain and spinal cord. [ORCID:0000-0001-5889-4463]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_MASTICATORY_MUSCLE","SYSTEMATIC_NAME":"M41636","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0410011","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0410011","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of masticatory muscle","DESCRIPTION_FULL":"Any abnormality of the masticatory muscle. [ORCID:0000-0001-5208-3432]"}
{"STANDARD_NAME":"HP_RECURRENT_EAR_INFECTIONS","SYSTEMATIC_NAME":"M38942","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0410018","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0410018","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Recurrent ear infections","DESCRIPTION_FULL":"Increased susceptibility to ear infections, as manifested by recurrent episodes of ear infections. [ORCID:0000-0001-5208-3432]"}
{"STANDARD_NAME":"HP_EPIGASTRIC_PAIN","SYSTEMATIC_NAME":"M38943","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0410019","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0410019","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Epigastric pain","DESCRIPTION_FULL":"Pain that is localized to the region of the upper abdomen immediately below the ribs. [https://www.healthgrades.com/symptoms/epigastric-pain, ORCID:0000-0001-5208-3432]"}
{"STANDARD_NAME":"HP_CLEFT_LIP","SYSTEMATIC_NAME":"M38944","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0410030","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0410030","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Cleft lip","DESCRIPTION_FULL":"A gap in the lip or lips. []"}
{"STANDARD_NAME":"HP_SUBMUCOUS_CLEFT_OF_SOFT_AND_HARD_PALATE","SYSTEMATIC_NAME":"M41637","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0410031","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0410031","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Submucous cleft of soft and hard palate","DESCRIPTION_FULL":"Soft and hard-palate submucous clefts are characterized by bony defects in the midline of the soft and hard palate that are covered by the lining (ie mucous membrane) of the roof of the mouth. [http://www.cleftline.org/who-we-are/what-we-do/publications/submucous-clefts/]"}
{"STANDARD_NAME":"HP_ABNORMAL_T_CELL_ACTIVATION","SYSTEMATIC_NAME":"M38945","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0410035","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0410035","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal T cell activation","DESCRIPTION_FULL":"Any abnormality in the activation of T cells, i.e. the change in morphology and behavior of a mature or immature T cell resulting from exposure to a mitogen, cytokine, chemokine, cellular ligand, or an antigen for which it is specific. []"}
{"STANDARD_NAME":"HP_ABNORMAL_LIVER_MORPHOLOGY","SYSTEMATIC_NAME":"M38946","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0410042","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0410042","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal liver morphology","DESCRIPTION_FULL":"Any structural anomaly of the bile-secreting organ that is important for detoxification, for fat, carbohydrate, and protein metabolism, and for glycogen storage. [MP:0000598]"}
{"STANDARD_NAME":"HP_ABNORMAL_NEURAL_TUBE_MORPHOLOGY","SYSTEMATIC_NAME":"M38947","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0410043","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0410043","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal neural tube morphology","DESCRIPTION_FULL":"Any structural anomaly of the hollow epithelial tube found on the dorsal side of the vertebrate embryo that develops into the central nervous system (i.e. brain and spinal cord). [MP:0002151]"}
{"STANDARD_NAME":"HP_DECREASED_LEVEL_OF_GABA_IN_SERUM","SYSTEMATIC_NAME":"M38948","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0410054","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0410054","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Decreased level of GABA in serum","DESCRIPTION_FULL":"A decrease in the level of GABA in the serum. [PMID:1485027]"}
{"STANDARD_NAME":"HP_INCREASED_LEVEL_OF_HIPPURIC_ACID_IN_URINE","SYSTEMATIC_NAME":"M38949","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0410066","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0410066","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased level of hippuric acid in urine","DESCRIPTION_FULL":"An increase in the level of hippuric acid in the urine. [PMID:19551947, PMID:22626821]"}
{"STANDARD_NAME":"HP_INCREASED_LEVEL_OF_L_FUCOSE_IN_URINE","SYSTEMATIC_NAME":"M38950","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0410067","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0410067","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Increased level of L-fucose in urine","DESCRIPTION_FULL":"An increase in the level of L-fucose in the urine. [PMID:2311216]"}
{"STANDARD_NAME":"HP_PHYSICAL_URTICARIA","SYSTEMATIC_NAME":"M38951","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0410134","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0410134","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Physical urticaria","DESCRIPTION_FULL":"Urticaria caused by physical agents, such as heat, cold, light, friction. [PMID:11702618]"}
{"STANDARD_NAME":"HP_HIPPOCAMPAL_ATROPHY","SYSTEMATIC_NAME":"M38953","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0410170","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0410170","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hippocampal atrophy","DESCRIPTION_FULL":"Partial or complete wasting (loss) of hippocampus tissue that was once present. []"}
{"STANDARD_NAME":"HP_HYPERKETONEMIA","SYSTEMATIC_NAME":"M41638","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0410175","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0410175","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hyperketonemia","DESCRIPTION_FULL":"An increase in the level of ketone bodies (acetoacetic acid, beta-hydroxybutyric acid, and acetone) in the blood. [PMID:27036365]"}
{"STANDARD_NAME":"HP_ABNORMAL_CIRCULATING_IGA_LEVEL","SYSTEMATIC_NAME":"M38954","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0410240","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0410240","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal circulating IgA level","DESCRIPTION_FULL":"An abnormal deviation from normal levels of IgA immunoglobulin in blood. []"}
{"STANDARD_NAME":"HP_ABNORMAL_CIRCULATING_IGE_LEVEL","SYSTEMATIC_NAME":"M38955","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0410241","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0410241","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal circulating IgE level","DESCRIPTION_FULL":"An abnormal deviation from normal levels of IgE immunoglobulin in blood. []"}
{"STANDARD_NAME":"HP_ABNORMAL_CIRCULATING_IGG_LEVEL","SYSTEMATIC_NAME":"M38956","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0410242","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0410242","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal circulating IgG level","DESCRIPTION_FULL":"An abnormal deviation from normal levels of IgG immunoglobulin in blood. []"}
{"STANDARD_NAME":"HP_ABNORMAL_CIRCULATING_IGM_LEVEL","SYSTEMATIC_NAME":"M38957","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0410243","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0410243","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal circulating IgM level","DESCRIPTION_FULL":"An abnormal deviation from normal levels of IgM immunoglobulin in blood. []"}
{"STANDARD_NAME":"HP_CHRONIC_NEUTROPENIA","SYSTEMATIC_NAME":"M41639","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0410252","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0410252","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Chronic neutropenia","DESCRIPTION_FULL":"Neutropenia with an absolute neutrophil count (ANC) less than 1,500,000,000/L lasting for more than 3 months. [PMID:23953336]"}
{"STANDARD_NAME":"HP_TRANSIENT_NEUTROPENIA","SYSTEMATIC_NAME":"M41640","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0410255","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0410255","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Transient neutropenia","DESCRIPTION_FULL":"A transient reduction in the number of neutrophils in the peripheral blood. Transient neutropenia is most commonly associated with viral infections, but other causes include drugs and autoimmunity. [PMID:23953336]"}
{"STANDARD_NAME":"HP_BRAIN_IMAGING_ABNORMALITY","SYSTEMATIC_NAME":"M38958","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0410263","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0410263","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Brain imaging abnormality","DESCRIPTION_FULL":"An anomaly of metabolism or structure of the brain identified by imaging. []"}
{"STANDARD_NAME":"HP_PEDIATRIC_ONSET","SYSTEMATIC_NAME":"M38959","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0410280","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0410280","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Pediatric onset","DESCRIPTION_FULL":"Onset of disease manifestations before adulthood, defined here as before the age of 15 years, but excluding neonatal or congenital onset. [ORCID:0000-0002-0843-4271]"}
{"STANDARD_NAME":"HP_ABNORMAL_CIRCULATING_AMYLASE_LEVEL","SYSTEMATIC_NAME":"M41641","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0410282","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0410282","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal circulating amylase level","DESCRIPTION_FULL":"A deviation from the normal concentration of amylase in the blood, an enzyme which helps digest glycogen and starch. It is produced mainly in the pancreas and salivary glands. [NCIT:C16284]"}
{"STANDARD_NAME":"HP_NEGATIVISM","SYSTEMATIC_NAME":"M41642","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0410291","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0410291","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Negativism","DESCRIPTION_FULL":"Opposing or not responding to instructions or external stimuli. [PMID:28754582, PMID:30262571]"}
{"STANDARD_NAME":"HP_HYPERPLASIA_OF_THE_MAXILLA","SYSTEMATIC_NAME":"M41643","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0430028","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0430028","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hyperplasia of the maxilla","DESCRIPTION_FULL":"Abnormally increased dimension of the maxilla, especially relative to the mandible, resulting in a malocclusion or malalignment between the upper and lower teeth or in anterior positioning of the nasal base, increased convexity of the face, increased nasolabial angle, or increased width (transverse dimension of the maxilla. []"}
{"STANDARD_NAME":"HP_ABNORMAL_CARDIAC_TEST","SYSTEMATIC_NAME":"M38960","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0500015","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0500015","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal cardiac test","DESCRIPTION_FULL":"Abnormal test result of cardiovascular physiology. []"}
{"STANDARD_NAME":"HP_PERIPAPILLARY_ATROPHY","SYSTEMATIC_NAME":"M38961","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0500087","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0500087","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Peripapillary atrophy","DESCRIPTION_FULL":"Thinning in the layers of the retina and retinal pigment epithelium around the optic nerve. [PMID:20920826]"}
{"STANDARD_NAME":"HP_FOOD_ALLERGY","SYSTEMATIC_NAME":"M38962","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0500093","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0500093","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Food allergy","DESCRIPTION_FULL":"Primary food allergies primarily occur as a result (most likely) of gastrointestinal sensitization to predominantly stable food allergens (glycoproteins). A secondary food allergy develops after primary sensitization to airborne allergens (e. g., pollen allergens) with subsequent reactions (due to cross-reactivity) to structurally related often labile allergens in (plant) foods. [PMID:27069254, PMID:27069841]"}
{"STANDARD_NAME":"HP_ABNORMAL_BLOOD_CARBON_DIOXIDE_LEVEL","SYSTEMATIC_NAME":"M38963","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0500164","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0500164","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal blood carbon dioxide level","DESCRIPTION_FULL":"An abnormality of carbon dioxide (CO2) in the arterial blood. [http://orcid.org/0000-0001-7941-2961]"}
{"STANDARD_NAME":"HP_HYPERGASTRINEMIA","SYSTEMATIC_NAME":"M41644","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0500167","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0500167","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Hypergastrinemia","DESCRIPTION_FULL":"An elevated amount of gastrin in the blood. [http://orcid.org/0000-0001-7941-2961]"}
{"STANDARD_NAME":"HP_ABNORMAL_CSF_CARBOXYLIC_ACID_CONCENTRATION","SYSTEMATIC_NAME":"M41645","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0500183","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0500183","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal CSF carboxylic acid concentration","DESCRIPTION_FULL":"Any deviation from the normal concentration of a carboxylic acid in the cerebrospinal fluid. []"}
{"STANDARD_NAME":"HP_ABNORMAL_CSF_PYRUVATE_FAMILY_AMINO_ACID_CONCENTRATION","SYSTEMATIC_NAME":"M41646","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:0500231","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:0500231","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal CSF pyruvate family amino acid concentration","DESCRIPTION_FULL":"Any deviation from the normal concentration of pyruvate-family amino acids in the cerebrospinal fluid. []"}
{"STANDARD_NAME":"HP_ABNORMAL_MANDIBULAR_RAMUS_MORPHOLOGY","SYSTEMATIC_NAME":"M38965","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:3000003","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:3000003","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal mandibular ramus morphology","DESCRIPTION_FULL":"An abnormality of a mandibular ramus. [GOC:TermGenie]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_FRONTALIS_MUSCLE_BELLY","SYSTEMATIC_NAME":"M41647","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:3000004","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:3000004","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of frontalis muscle belly","DESCRIPTION_FULL":"An abnormality of a frontalis muscle belly. [GOC:TermGenie]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_CARTILAGE_OF_EXTERNAL_EAR","SYSTEMATIC_NAME":"M38966","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:3000022","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:3000022","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of cartilage of external ear","DESCRIPTION_FULL":"An abnormality of a cartilage of external ear. [GOC:TermGenie]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_HEAD_BLOOD_VESSEL","SYSTEMATIC_NAME":"M38967","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:3000036","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:3000036","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of head blood vessel","DESCRIPTION_FULL":"An abnormality of a blood vessel of the head, including branches of the arterial and venous systems of the head. [GOC:TermGenie, ORCID:0000-0001-5889-4463]"}
{"STANDARD_NAME":"HP_ABNORMALITY_OF_ODONTOID_TISSUE","SYSTEMATIC_NAME":"M38968","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:3000050","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:3000050","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormality of odontoid tissue","DESCRIPTION_FULL":"An abnormality of an odontoid tissue. [GOC:TermGenie]"}
{"STANDARD_NAME":"HP_ABNORMAL_INTERNAL_CAROTID_ARTERY_MORPHOLOGY","SYSTEMATIC_NAME":"M38969","ORGANISM":"Homo sapiens","EXACT_SOURCE":"HP:3000062","EXTERNAL_DETAILS_URL":"https://hpo.jax.org/app/browse/term/HP:3000062","CHIP":"Human_NCBI_Gene_ID","CATEGORY_CODE":"C5","SUB_CATEGORY_CODE":"HPO","CONTRIBUTOR":"Human Phenotype Ontology Group","CONTRIBUTOR_ORG":"The Jackson Laboratory (JAX)","DESCRIPTION_BRIEF":"Abnormal internal carotid artery morphology","DESCRIPTION_FULL":"An abnormality of an internal carotid artery. [GOC:TermGenie]"}
{"STANDARD_NAME":"GLI1_UP.V1_DN","SYSTEMATIC_NAME":"M2622","ORGANISM":"Rattus norvegicus","PMID":"11719506","AUTHORS":"Yoon JW,Kita Y,Frank DJ,Majewski RR,Konicek BA,Nobrega MA,Jacob H,Walterhouse D,Iannaccone P","EXACT_SOURCE":"Gli1 vs control; bottom 30 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes down-regulated in RK3E cells (kidney epithelium) over-expressing GLI1 [Gene ID=2735].","DESCRIPTION_FULL":"The zinc finger transcription factor GLI1, which mediates Sonic hedgehog signaling during development, is expressed in several human cancers, including basal cell carcinoma, medulloblastoma, and sarcomas. We identified 147 genes whose levels of expression were significantly altered in RNA obtained from cells demonstrating a transformed phenotype with stable GLI1 expression or stable Ha-ras expression. Comparison of expression profiles from GLI1- and Ha-ras-expressing cells established a set of genes unique to GLI1-induced cell transformation. Thirty genes were altered by stable GLI1 expression, and 124 genes were changed by stable Ha-ras expression. Seven genes had altered expression levels in both GLI1- and Ha-ras-expressing cells. Genes whose expression was altered by GLI1 included cell cycle genes, cell adhesion genes, signal transduction genes, and genes regulating apoptosis. GLI1 consensus DNA-binding sequences were identified in the 5' regions of cyclin D2, IGFBP-6, osteopontin, and plakoglobin, suggesting that these genes represent immediate downstream targets. Gel shift analysis confirmed the ability of the GLI1 protein to bind these sequences. Up-regulation of cyclin D2 and down-regulation of plakoglobin were demonstrated in GLI1-amplified compared with non-amplified human rhabdomyosarcoma cells. Many of the GLI1 targets with known function identified in this study increase cell proliferation, indicating that GLI1-induced cell transformation occurs through multiple downstream pathways."}
{"STANDARD_NAME":"GLI1_UP.V1_UP","SYSTEMATIC_NAME":"M2628","ORGANISM":"Rattus norvegicus","PMID":"11719506","AUTHORS":"Yoon JW,Kita Y,Frank DJ,Majewski RR,Konicek BA,Nobrega MA,Jacob H,Walterhouse D,Iannaccone P","EXACT_SOURCE":"Gli1 vs control; top 30 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes up-regulated in RK3E cells (kidney epithelium) over-expressing GLI1 [Gene ID=2735].","DESCRIPTION_FULL":"The zinc finger transcription factor GLI1, which mediates Sonic hedgehog signaling during development, is expressed in several human cancers, including basal cell carcinoma, medulloblastoma, and sarcomas. We identified 147 genes whose levels of expression were significantly altered in RNA obtained from cells demonstrating a transformed phenotype with stable GLI1 expression or stable Ha-ras expression. Comparison of expression profiles from GLI1- and Ha-ras-expressing cells established a set of genes unique to GLI1-induced cell transformation. Thirty genes were altered by stable GLI1 expression, and 124 genes were changed by stable Ha-ras expression. Seven genes had altered expression levels in both GLI1- and Ha-ras-expressing cells. Genes whose expression was altered by GLI1 included cell cycle genes, cell adhesion genes, signal transduction genes, and genes regulating apoptosis. GLI1 consensus DNA-binding sequences were identified in the 5' regions of cyclin D2, IGFBP-6, osteopontin, and plakoglobin, suggesting that these genes represent immediate downstream targets. Gel shift analysis confirmed the ability of the GLI1 protein to bind these sequences. Up-regulation of cyclin D2 and down-regulation of plakoglobin were demonstrated in GLI1-amplified compared with non-amplified human rhabdomyosarcoma cells. Many of the GLI1 targets with known function identified in this study increase cell proliferation, indicating that GLI1-induced cell transformation occurs through multiple downstream pathways."}
{"STANDARD_NAME":"GCNP_SHH_UP_EARLY.V1_DN","SYSTEMATIC_NAME":"M2638","ORGANISM":"Mus musculus","PMID":"11960025","AUTHORS":"Zhao Q,Kho A,Kenney AM,Yuk Di DI,Kohane I,Rowitch DH","GEOID":"GSE50606","EXACT_SOURCE":"early (3 h) GCNP SHH+ vs VEHICLE; bottom 200 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes down-regulated in granule cell neuron precursors (GCNPs) after stimulation with Shh for 3h.","DESCRIPTION_FULL":"Hedgehog pathway activation is required for proliferation of cerebellar granule cell neuron precursors during development and is etiologic in certain cerebellar tumors. To identify genes expressed specifically in granule cell neuron precursors, we used oligonucleotide microarrays to analyze regulation of 13,179 genes/expressed sequence tags in heterogeneous primary cultures of neonatal mouse cerebellum that respond to the mitogen Sonic hedgehog. In conjunction, we applied experiment-specific noise models to render a gene-by-gene robust indication of up-regulation in Sonic hedgehog-treated cultures. Twelve genes so identified were tested, and 10 (83%) showed appropriate expression in the external granular layer (EGL) of the postnatal day (PN) 7 cerebellum and down-regulation by PN 15, as verified by in situ hybridization. Whole-organ profiling of the developing cerebellum was carried out from PN 1 to 30 to generate a database of temporal gene regulation profiles (TRPs). From the database an algorithm was developed to capture the TRP typical of EGL-specific genes. The \"TRP-EGL\" accurately predicted expression in vivo of an additional 18 genes/expressed sequence tags with a sensitivity of 80% and a specificity of 88%. We then compared the positive predictive value of our analytical procedure with other widely used methods, as verified by the TRP-EGL in silico. These findings suggest that replicate experiments and incorporation of noise models increase analytical specificity. They further show that genome-wide methods are an effective means to identify stage-specific gene expression in the developing granule cell lineage."}
{"STANDARD_NAME":"GCNP_SHH_UP_LATE.V1_DN","SYSTEMATIC_NAME":"M2640","ORGANISM":"Mus musculus","PMID":"11960025","AUTHORS":"Zhao Q,Kho A,Kenney AM,Yuk Di DI,Kohane I,Rowitch DH","GEOID":"GSE50606","EXACT_SOURCE":"late (24 h) GCNP SHH+ vs VEHICLE; bottom 200 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes down-regulated in granule cell neuron precursors (GCNPs) after stimulation with Shh for 24h.","DESCRIPTION_FULL":"Hedgehog pathway activation is required for proliferation of cerebellar granule cell neuron precursors during development and is etiologic in certain cerebellar tumors. To identify genes expressed specifically in granule cell neuron precursors, we used oligonucleotide microarrays to analyze regulation of 13,179 genes/expressed sequence tags in heterogeneous primary cultures of neonatal mouse cerebellum that respond to the mitogen Sonic hedgehog. In conjunction, we applied experiment-specific noise models to render a gene-by-gene robust indication of up-regulation in Sonic hedgehog-treated cultures. Twelve genes so identified were tested, and 10 (83%) showed appropriate expression in the external granular layer (EGL) of the postnatal day (PN) 7 cerebellum and down-regulation by PN 15, as verified by in situ hybridization. Whole-organ profiling of the developing cerebellum was carried out from PN 1 to 30 to generate a database of temporal gene regulation profiles (TRPs). From the database an algorithm was developed to capture the TRP typical of EGL-specific genes. The \"TRP-EGL\" accurately predicted expression in vivo of an additional 18 genes/expressed sequence tags with a sensitivity of 80% and a specificity of 88%. We then compared the positive predictive value of our analytical procedure with other widely used methods, as verified by the TRP-EGL in silico. These findings suggest that replicate experiments and incorporation of noise models increase analytical specificity. They further show that genome-wide methods are an effective means to identify stage-specific gene expression in the developing granule cell lineage."}
{"STANDARD_NAME":"RAPA_EARLY_UP.V1_DN","SYSTEMATIC_NAME":"M2643","ORGANISM":"Homo sapiens","PMID":"12101249","AUTHORS":"Peng T,Golub TR,Sabatini DM","EXACT_SOURCE":"Rapa60 and Rapa120 vs ET60 and ET120; top 200 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes down-regulated in BJAB (lymphoma) cells by rapamycin (sirolimus) [PubChem = 6610346].","DESCRIPTION_FULL":"RAFT1/FRAP/mTOR is a key regulator of cell growth and division and the mammalian target of rapamycin, an immunosuppressive and anticancer drug. Rapamycin deprivation and nutrient deprivation have similar effects on the activity of S6 kinase 1 (S6K1) and 4E-BP1, two downstream effectors of RAFT1, but the relationship between nutrient- and rapamycin-sensitive pathways is unknown. Using transcriptional profiling, we show that, in human BJAB B-lymphoma cells and murine CTLL-2 T lymphocytes, rapamycin treatment affects the expression of many genes involved in nutrient and protein metabolism. The rapamycin-induced transcriptional profile is distinct from those induced by glucose, glutamine, or leucine deprivation but is most similar to that induced by amino acid deprivation. In particular, rapamycin treatment and amino acid deprivation up-regulate genes involved in nutrient catabolism and energy production and down-regulate genes participating in lipid and nucleotide synthesis and in protein synthesis, turnover, and folding. Surprisingly, however, rapamycin had effects opposite from those of amino acid starvation on the expression of a large group of genes involved in the synthesis, transport, and use of amino acids. Supported by measurements of nutrient use, the data suggest that RAFT1 is an energy and nutrient sensor and that rapamycin mimics a signal generated by the starvation of amino acids but that the signal is unlikely to be the absence of amino acids themselves. These observations underscore the importance of metabolism in controlling lymphocyte proliferation and offer a novel explanation for immunosuppression by rapamycin."}
{"STANDARD_NAME":"RAPA_EARLY_UP.V1_UP","SYSTEMATIC_NAME":"M2644","ORGANISM":"Homo sapiens","PMID":"12101249","AUTHORS":"Peng T,Golub TR,Sabatini DM","EXACT_SOURCE":"Rapa60 and Rapa120 vs ET60 and ET120; bottom 200 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes up-regulated in BJAB (lymphoma) cells by rapamycin (sirolimus) [PubChem = 6610346].","DESCRIPTION_FULL":"RAFT1/FRAP/mTOR is a key regulator of cell growth and division and the mammalian target of rapamycin, an immunosuppressive and anticancer drug. Rapamycin deprivation and nutrient deprivation have similar effects on the activity of S6 kinase 1 (S6K1) and 4E-BP1, two downstream effectors of RAFT1, but the relationship between nutrient- and rapamycin-sensitive pathways is unknown. Using transcriptional profiling, we show that, in human BJAB B-lymphoma cells and murine CTLL-2 T lymphocytes, rapamycin treatment affects the expression of many genes involved in nutrient and protein metabolism. The rapamycin-induced transcriptional profile is distinct from those induced by glucose, glutamine, or leucine deprivation but is most similar to that induced by amino acid deprivation. In particular, rapamycin treatment and amino acid deprivation up-regulate genes involved in nutrient catabolism and energy production and down-regulate genes participating in lipid and nucleotide synthesis and in protein synthesis, turnover, and folding. Surprisingly, however, rapamycin had effects opposite from those of amino acid starvation on the expression of a large group of genes involved in the synthesis, transport, and use of amino acids. Supported by measurements of nutrient use, the data suggest that RAFT1 is an energy and nutrient sensor and that rapamycin mimics a signal generated by the starvation of amino acids but that the signal is unlikely to be the absence of amino acids themselves. These observations underscore the importance of metabolism in controlling lymphocyte proliferation and offer a novel explanation for immunosuppression by rapamycin."}
{"STANDARD_NAME":"HINATA_NFKB_MATRIX","SYSTEMATIC_NAME":"M2646","ORGANISM":"Homo sapiens","PMID":"12673201","AUTHORS":"Hinata K,Gervin AM,Jennifer Zhang Y,Khavari PA","EXACT_SOURCE":"Table 1: Adhesion/Matrix/Cytoskeleton","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Matrix, adhesion or cytoskeleton genes induced by NF-kappaB in primary keratinocytes and fibroblasts.","DESCRIPTION_FULL":"NF-kappa B regulates normal and pathological processes, including neoplasia, in a tissue-context-dependent manner. In skin, NF-kappa B is implicated in epidermal homeostasis as well as in the pathogenesis of squamous cell carcinoma; however, its function in the underlying mesenchymal dermis has been unclear. To gain insight into NF-kappa B roles in these two adjacent cutaneous tissue compartments, NF-kappa B effects on expression of 12 435 genes were determined in epidermal keratinocytes and dermal fibroblasts. Although NF-kappa B induced proinflammatory and antiapoptotic genes in both settings, it exhibited divergent effects on growth regulatory genes. In keratinocytes, but not in fibroblasts, NF-kappa B induced p21(CIP1), which was sufficient to inhibit growth of both cell types. Levels of growth inhibitory factor (GIF), in contrast, were increased by NF-kappa B in both settings but inhibited growth only in keratinocytes. These findings indicate that transcription factors such as NF-kappa B can program tissue-selective effects via both differential target gene induction as well as by inducing common targets that exert differing effects depending on cellular lineage."}
{"STANDARD_NAME":"CYCLIN_D1_KE_.V1_UP","SYSTEMATIC_NAME":"M2648","ORGANISM":"Homo sapiens","PMID":"12914697","AUTHORS":"Lamb J,Ramaswamy S,Ford HL,Contreras B,Martinez RV,Kittrell FS,Zahnow CA,Patterson N,Golub TR,Ewen ME","EXACT_SOURCE":"cyclin D1 (K112E) vs control; top 200 genes (diff-means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes up-regulated in MCF-7 cells (breast cancer) over-expressing a mutant K112E form of CCND1 [Gene ID=595] gene.","DESCRIPTION_FULL":"Here we describe how patterns of gene expression in human tumors have been deconvoluted to reveal a mechanism of action for the cyclin D1 oncogene. Computational analysis of the expression patterns of thousands of genes across hundreds of tumor specimens suggested that a transcription factor, C/EBPbeta/Nf-Il6, participates in the consequences of cyclin D1 overexpression. Functional analyses confirmed the involvement of C/EBPbeta in the regulation of genes affected by cyclin D1 and established this protein as an indispensable effector of a potentially important facet of cyclin D1 biology. This work demonstrates that tumor gene expression databases can be used to study the function of a human oncogene in situ."}
{"STANDARD_NAME":"CYCLIN_D1_UP.V1_UP","SYSTEMATIC_NAME":"M2654","ORGANISM":"Homo sapiens","PMID":"12914697","AUTHORS":"Lamb J,Ramaswamy S,Ford HL,Contreras B,Martinez RV,Kittrell FS,Zahnow CA,Patterson N,Golub TR,Ewen ME","EXACT_SOURCE":"cyclin D1 vs control; top 200 genes (diff-means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes up-regulated in MCF-7 cells (breast cancer) over-expressing CCND1 [Gene ID=595] gene.","DESCRIPTION_FULL":"Here we describe how patterns of gene expression in human tumors have been deconvoluted to reveal a mechanism of action for the cyclin D1 oncogene. Computational analysis of the expression patterns of thousands of genes across hundreds of tumor specimens suggested that a transcription factor, C/EBPbeta/Nf-Il6, participates in the consequences of cyclin D1 overexpression. Functional analyses confirmed the involvement of C/EBPbeta in the regulation of genes affected by cyclin D1 and established this protein as an indispensable effector of a potentially important facet of cyclin D1 biology. This work demonstrates that tumor gene expression databases can be used to study the function of a human oncogene in situ."}
{"STANDARD_NAME":"CSR_EARLY_UP.V1_DN","SYSTEMATIC_NAME":"M2655","ORGANISM":"Homo sapiens","PMID":"14737219","AUTHORS":"Chang HY,Sneddon JB,Alizadeh AA,Sood R,West RB,Montgomery K,Chi JT,van de Rijn M,Botstein D,Brown PO","GEOID":"GSE3945","EXACT_SOURCE":"CSR_early (1 to 6 h) vs Control (0 h); bottom 200 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes down-regulated in early serum response of CRL 2091 cells (foreskin fibroblasts).","DESCRIPTION_FULL":"Foreskin fibroblasts CRL 2091 (ATCC) were serum starved for 48 hours, and harvested at the indicated time points after switching to media with 10% FBS essentially as described (Iyer et al., 1999). RNA from all of the sampled time points were pooled as reference RNA to compare with RNA from individual time points as described (Iyer et al., 1999)"}
{"STANDARD_NAME":"VEGF_A_UP.V1_UP","SYSTEMATIC_NAME":"M2676","ORGANISM":"Homo sapiens","PMID":"15516835","AUTHORS":"Schoenfeld J,Lessan K,Johnson NA,Charnock-Jones DS,Evans A,Vourvouhaki E,Scott L,Stephens R,Freeman TC,Saidi SA,Tom B,Weston GC,Rogers P,Smith SK,Print CG","GEOID":"GSE837","EXACT_SOURCE":"VEGFA vs control; top 200 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes up-regulated in HUVEC cells (endothelium) by treatment with VEGFA [Gene ID=7422].","DESCRIPTION_FULL":"HUVECs (human umbilical cord vein endothelial cells) are treated with the angiogenic factor VEGF-A in low or high serum media."}
{"STANDARD_NAME":"BCAT_GDS748_DN","SYSTEMATIC_NAME":"M2677","ORGANISM":"Homo sapiens","PMID":"15592430","AUTHORS":"Chamorro MN,Schwartz DR,Vonica A,Brivanlou AH,Cho KR,Varmus HE","GEOID":"GSE1473","EXACT_SOURCE":"beta-catenin S37A vs GFP; bottom 50 genes (mutual information)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes down-regulated in HEK293 cells (kidney fibroblasts) expressing constitutively active form of CTNNB1 [Gene ID=1499] gene.","DESCRIPTION_FULL":"293 cells, infected with RCAS-beta-cateninS37A or RCAS-GFP"}
{"STANDARD_NAME":"BCAT_GDS748_UP","SYSTEMATIC_NAME":"M2678","ORGANISM":"Homo sapiens","PMID":"15592430","AUTHORS":"Chamorro MN,Schwartz DR,Vonica A,Brivanlou AH,Cho KR,Varmus HE","GEOID":"GSE1473","EXACT_SOURCE":"beta-catenin S37A vs GFP; top 50 genes (mutual information)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes up-regulated in HEK293 cells (kidney fibroblasts) expressing constitutively active form of CTNNB1 [Gene ID=1499] gene.","DESCRIPTION_FULL":"293 cells, infected with RCAS-beta-cateninS37A or RCAS-GFP"}
{"STANDARD_NAME":"BCAT.100_UP.V1_DN","SYSTEMATIC_NAME":"M2679","ORGANISM":"Homo sapiens","PMID":"15592430","AUTHORS":"Chamorro MN,Schwartz DR,Vonica A,Brivanlou AH,Cho KR,Varmus HE","GEOID":"GSE1473","EXACT_SOURCE":"beta-cateninS37A vs GFP; bottom 50 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes down-regulated in HEK293 cells (kidney fibroblasts) expressing constitutively active form of CTNNB1 [Gene ID=1499] gene.","DESCRIPTION_FULL":"293 cells, infected with RCAS-beta-cateninS37A or RCAS-GFP"}
{"STANDARD_NAME":"BCAT.100_UP.V1_UP","SYSTEMATIC_NAME":"M2680","ORGANISM":"Homo sapiens","PMID":"15592430","AUTHORS":"Chamorro MN,Schwartz DR,Vonica A,Brivanlou AH,Cho KR,Varmus HE","GEOID":"GSE1473","EXACT_SOURCE":"beta-cateninS37A vs GFP; top 50 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes up-regulated in HEK293 cells (kidney fibroblasts) expressing constitutively active form of CTNNB1 [Gene ID=1499] gene.","DESCRIPTION_FULL":"293 cells, infected with RCAS-beta-cateninS37A or RCAS-GFP"}
{"STANDARD_NAME":"ATF2_S_UP.V1_UP","SYSTEMATIC_NAME":"M2682","ORGANISM":"Homo sapiens","PMID":"15691874","AUTHORS":"Bailey J,Tyson-Capper AJ,Gilmore K,Robson SC,Europe-Finner GN","GEOID":"GSE1059","EXACT_SOURCE":"ATF2-small vs Control; top 200 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes up-regulated in myometrial cells over-expressing a shortened splice form of ATF2 [Gene ID=1386] gene.","DESCRIPTION_FULL":"Human myometrial cells taken from biopsies of pre-menopausal non-cancerous non-pregnant uteri were cultured in complete MEM D-valine medium plus 10% FCS, and stably-transfected with the pcDNA3.1/V5-His TOPO vector (Invitrogen) harbouring ATF2-small gene or a control empty-vector."}
{"STANDARD_NAME":"ATF2_UP.V1_UP","SYSTEMATIC_NAME":"M2686","ORGANISM":"Homo sapiens","PMID":"15691874","AUTHORS":"Bailey J,Tyson-Capper AJ,Gilmore K,Robson SC,Europe-Finner GN","GEOID":"GSE1059","EXACT_SOURCE":"ATF2 vs Control; top 200 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes up-regulated in myometrial cells over-expressing ATF2 [Gene ID=1386] gene.","DESCRIPTION_FULL":"Human myometrial cells taken from biopsies of pre-menopausal non-cancerous non-pregnant uteri were cultured in complete MEM D-valine medium plus 10% FCS, and stably-transfected with the pcDNA3.1/V5-His TOPO vector (Invitrogen) harbouring ATF2 gene or a control empty-vector."}
{"STANDARD_NAME":"WNT_UP.V1_UP","SYSTEMATIC_NAME":"M2690","ORGANISM":"Mus musculus","PMID":"15794748","AUTHORS":"Ziegler S,Roehrs S,Tickenbrock L,Moeroey T,Klein-Hitpass L,Vetter IR,Mueller O","GEOID":"GSE1899","EXACT_SOURCE":"Wnt-1 vs Controls; top 200 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes up-regulated in C57MG cells (mammary epithelium) by over-expression of WNT1 [Gene ID=7471] gene.","DESCRIPTION_FULL":"Targets of Wnt-1 in C57MG. RNA from murine mammary C57MG cells transfected with an empty control vector (PLNCx) or an expression vector encoding Wnt-1 was isolated and analyzed on Affymetrix MG-U74Av2 arrays."}
{"STANDARD_NAME":"ATM_DN.V1_DN","SYSTEMATIC_NAME":"M2691","ORGANISM":"Homo sapiens","PMID":"15892871","AUTHORS":"Elkon R,Rashi-Elkeles S,Lerenthal Y,Linhart C,Tenne T,Amariglio N,Rechavi G,Shamir R,Shiloh Y","GEOID":"GSE1676","EXACT_SOURCE":"ATM_siRNA_0 vs controls; bottom 150 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes down-regulated in HEK293 cells (kidney fibroblasts) upon knockdown of ATM [Gene ID=472] gene by RNAi.","DESCRIPTION_FULL":"Expression profiling of cells knocked-down for ATM and control un-infected cells and cells infected with siRNA against LacZ."}
{"STANDARD_NAME":"ATM_DN.V1_UP","SYSTEMATIC_NAME":"M2692","ORGANISM":"Homo sapiens","PMID":"15892871","AUTHORS":"Elkon R,Rashi-Elkeles S,Lerenthal Y,Linhart C,Tenne T,Amariglio N,Rechavi G,Shamir R,Shiloh Y","GEOID":"GSE1676","EXACT_SOURCE":"ATM_siRNA_0 vs controls; top 150 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes up-regulated in HEK293 cells (kidney fibroblasts) upon knockdown of ATM [Gene ID=472] gene by RNAi.","DESCRIPTION_FULL":"Expression profiling of cells knocked-down for ATM and control un-infected cells and cells infected with siRNA against LacZ."}
{"STANDARD_NAME":"P53_DN.V2_DN","SYSTEMATIC_NAME":"M2693","ORGANISM":"Homo sapiens","PMID":"15892871","AUTHORS":"Elkon R,Rashi-Elkeles S,Lerenthal Y,Linhart C,Tenne T,Amariglio N,Rechavi G,Shamir R,Shiloh Y","GEOID":"GSE1676","EXACT_SOURCE":"p53_siRNA vs controls; bottom 150 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes down-regulated in HEK293 cells (kidney fibroblasts) upon knockdown of TP53 [Gene ID=7157] gene by RNAi.","DESCRIPTION_FULL":"Expression profiling of cells knocked-down for p53 and control un-infected cells and cells infected with siRNA against LacZ."}
{"STANDARD_NAME":"RELA_DN.V1_DN","SYSTEMATIC_NAME":"M2695","ORGANISM":"Homo sapiens","PMID":"15892871","AUTHORS":"Elkon R,Rashi-Elkeles S,Lerenthal Y,Linhart C,Tenne T,Amariglio N,Rechavi G,Shamir R,Shiloh Y","GEOID":"GSE1676","EXACT_SOURCE":"RELA shRNA vs WT; bottom 150 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes down-regulated in HEK293 cells (kidney fibroblasts) upon knockdown of RELA [Gene ID=5970] gene by RNAi.","DESCRIPTION_FULL":"Expression profiling of cells knocked-down for RelA and control un-infected cells and cells infected with siRNA against LacZ."}
{"STANDARD_NAME":"BCAT_BILD_ET_AL_DN","SYSTEMATIC_NAME":"M2702","ORGANISM":"Homo sapiens","PMID":"16273092","AUTHORS":"Bild AH,Yao G,Chang JT,Wang Q,Potti A,Chasse D,Joshi MB,Harpole D,Lancaster JM,Berchuck A,Olson JA Jr,Marks JR,Dressman HK,West M,Nevins JR","GEOID":"GSE3151","EXACT_SOURCE":"activated CTNNB1 vs GFP; bottom 50 genes (mutual information)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes down-regulated in primary epithelial breast cancer cell culture over-expressing activated CTNNB1 [Gene ID=1499] gene.","DESCRIPTION_FULL":"RNA was extracted from human mammary epithelial cells expressing oncogenes (or GFP control) for gene array analysis. Experiment was performed in replicate."}
{"STANDARD_NAME":"BCAT_BILD_ET_AL_UP","SYSTEMATIC_NAME":"M2703","ORGANISM":"Homo sapiens","PMID":"16273092","AUTHORS":"Bild AH,Yao G,Chang JT,Wang Q,Potti A,Chasse D,Joshi MB,Harpole D,Lancaster JM,Berchuck A,Olson JA Jr,Marks JR,Dressman HK,West M,Nevins JR","GEOID":"GSE3151","EXACT_SOURCE":"activated CTNNB1 vs GFP; top 50 genes (mutual information)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes up-regulated in primary epithelial breast cancer cell culture over-expressing activated CTNNB1 [Gene ID=1499] gene.","DESCRIPTION_FULL":"RNA was extracted from human mammary epithelial cells expressing oncogenes (or GFP control) for gene array analysis. Experiment was performed in replicate."}
{"STANDARD_NAME":"E2F3_UP.V1_UP","SYSTEMATIC_NAME":"M2706","ORGANISM":"Homo sapiens","PMID":"16273092","AUTHORS":"Bild AH,Yao G,Chang JT,Wang Q,Potti A,Chasse D,Joshi MB,Harpole D,Lancaster JM,Berchuck A,Olson JA Jr,Marks JR,Dressman HK,West M,Nevins JR","GEOID":"GSE3151","EXACT_SOURCE":"E2F3 vs GFP; top 200 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes up-regulated in primary epithelial breast cancer cell culture over-expressing E2F3 [Gene ID=1871] gene.","DESCRIPTION_FULL":"RNA was extracted from human mammary epithelial cells expressing oncogenes (or GFP control) for gene array analysis. Experiment was performed in replicate."}
{"STANDARD_NAME":"CAMP_UP.V1_DN","SYSTEMATIC_NAME":"M2719","ORGANISM":"Homo sapiens","PMID":"16381821","AUTHORS":"van Staveren WC,Solis DW,Delys L,Venet D,Cappello M,Andry G,Dumont JE,Libert F,Detours V,Maenhaut C","EXACT_SOURCE":"cAMP vs WT; bottom 150 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes down-regulated in primary thyrocyte cultures in response to cAMP signaling pathway activation by thyrotropin (TSH)."}
{"STANDARD_NAME":"CAMP_UP.V1_UP","SYSTEMATIC_NAME":"M2720","ORGANISM":"Homo sapiens","PMID":"16381821","AUTHORS":"van Staveren WC,Solis DW,Delys L,Venet D,Cappello M,Andry G,Dumont JE,Libert F,Detours V,Maenhaut C","EXACT_SOURCE":"cAMP vs WT; top 150 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes up-regulated in primary thyrocyte cultures in response to cAMP signaling pathway activation by thyrotropin (TSH)."}
{"STANDARD_NAME":"PRC1_BMI_UP.V1_UP","SYSTEMATIC_NAME":"M2732","ORGANISM":"Homo sapiens","PMID":"16618801","AUTHORS":"Bracken AP,Dietrich N,Pasini D,Hansen KH,Helin K","GEOID":"GSE6015","EXACT_SOURCE":"ko vs control; top 200 genes","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes up-regulated in TIG3 cells (fibroblasts) upon knockdown of BMI1 [Gene ID=648] gene.","DESCRIPTION_FULL":"The identification of gene expression changes in human embryonic fibroblast cells depleted of BMI-1."}
{"STANDARD_NAME":"PRC2_EED_UP.V1_UP","SYSTEMATIC_NAME":"M2736","ORGANISM":"Homo sapiens","PMID":"16618801","AUTHORS":"Bracken AP,Dietrich N,Pasini D,Hansen KH,Helin K","GEOID":"GSE6015","EXACT_SOURCE":"ko vs control; top 200 genes","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes up-regulated in TIG3 cells (fibroblasts) upon knockdown of EED [Gene ID=8726] gene.","DESCRIPTION_FULL":"The identification of gene expression changes in human embryonic fibroblast cells depleted of EED."}
{"STANDARD_NAME":"PRC2_EZH2_UP.V1_UP","SYSTEMATIC_NAME":"M2739","ORGANISM":"Homo sapiens","PMID":"16618801","AUTHORS":"Bracken AP,Dietrich N,Pasini D,Hansen KH,Helin K","GEOID":"GSE6015","EXACT_SOURCE":"ko vs control; top 200 genes","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes up-regulated in TIG3 cells (fibroblasts) upon knockdown of EZH2 [Gene ID=2146] gene.","DESCRIPTION_FULL":"The identification of gene expression changes in human embryonic fibroblast cells depleted of EZH2."}
{"STANDARD_NAME":"PRC2_SUZ12_UP.V1_UP","SYSTEMATIC_NAME":"M2741","ORGANISM":"Homo sapiens","PMID":"16618801","AUTHORS":"Bracken AP,Dietrich N,Pasini D,Hansen KH,Helin K","GEOID":"GSE6015","EXACT_SOURCE":"ko vs control; top 200 genes","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes up-regulated in TIG3 cells (fibroblasts) upon knockdown of SUZ12 [Gene ID=23512] gene.","DESCRIPTION_FULL":"The identification of gene expression changes in human embryonic fibroblast cells depleted of SUZ12."}
{"STANDARD_NAME":"JNK_DN.V1_DN","SYSTEMATIC_NAME":"M2745","ORGANISM":"Homo sapiens","PMID":"16648634","AUTHORS":"Gazel A,Banno T,Walsh R,Blumenberg M","GEOID":"GSE4828","EXACT_SOURCE":"SP600125 experiment CONTROL vs TREATED; top 200 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes down-regulated in JNK inhibitor-treated (SP600125[PubChem=8515]) keratinocytes.","DESCRIPTION_FULL":"Keratinocytes are grown to ~75% confluence and either treated with 5nM SP600125, or left untreated. Samples are harvested 1, 4, 24 and 48 h post-treatment."}
{"STANDARD_NAME":"JNK_DN.V1_UP","SYSTEMATIC_NAME":"M2746","ORGANISM":"Homo sapiens","PMID":"16648634","AUTHORS":"Gazel A,Banno T,Walsh R,Blumenberg M","GEOID":"GSE4828","EXACT_SOURCE":"SP600125 experiment CONTROL vs TREATED; bottom 200 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes up-regulated in JNK inhibitor-treated (SP600125[PubChem=8515]) keratinocytes.","DESCRIPTION_FULL":"Keratinocytes are grown to ~75% confluence and either treated with 5nM SP600125, or left untreated. Samples are harvested 1, 4, 24 and 48 h post-treatment."}
{"STANDARD_NAME":"BRCA1_DN.V1_UP","SYSTEMATIC_NAME":"M2748","ORGANISM":"Homo sapiens","PMID":"16843262","AUTHORS":"Furuta S,Wang JM,Wei S,Jeng YM,Jiang X,Gu B,Chen PL,Lee EY,Lee WH","GEOID":"GSE4750","EXACT_SOURCE":"BRCA1 KD vs LUC KD; top 150 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes up-regulated in MCF10A cells (breast cancer) upon knockdown of BRCA1 [Gene ID=672] gene by RNAi.","DESCRIPTION_FULL":"MCF10A cells in 3-D culture for 15 h after treatment with BRCA1-RNAi vs Luc-RNAi adenovirus"}
{"STANDARD_NAME":"CTIP_DN.V1_UP","SYSTEMATIC_NAME":"M2752","ORGANISM":"Homo sapiens","PMID":"16843262","AUTHORS":"Furuta S,Wang JM,Wei S,Jeng YM,Jiang X,Gu B,Chen PL,Lee EY,Lee WH","GEOID":"GSE4751","EXACT_SOURCE":"CTIP 20 vs LUC 20 KD; top 150 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes up-regulated in MCF10A cells (breast cancer) upon knockdown of RBBP8 [Gene ID=RBBP8] gene by RNAi.","DESCRIPTION_FULL":"MCF10A cells in 3-D culture for 15 h after treatment with CtIP-RNAi vs Luc-RNAi adenovirus."}
{"STANDARD_NAME":"PKCA_DN.V1_DN","SYSTEMATIC_NAME":"M2754","ORGANISM":"Mus musculus","PMID":"16849539","AUTHORS":"Oster H,Leitges M","GEOID":"GSE3915","EXACT_SOURCE":"PKCA KD vs PKCA WT; bottom 200 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes down-regulated in small intenstine in PRKCA [Gene ID=5578] knockout mice.","DESCRIPTION_FULL":"PKCa -/- vs wt small intestine"}
{"STANDARD_NAME":"MTOR_UP.N4.V1_DN","SYSTEMATIC_NAME":"M2756","ORGANISM":"Homo sapiens","PMID":"17010674","AUTHORS":"Wei G,Twomey D,Lamb J,Schlis K,Agarwal J,Stam RW,Opferman JT,Sallan SE,den Boer ML,Pieters R,Golub TR,Armstrong SA","GEOID":"GSE5821","EXACT_SOURCE":"contol (DMSO) vs 24h of rapamycin treatment; bottom 200 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CEM-C1 cells (T-CLL) in comparison of control vs rapamycin (sirolimus) [PubChem=6610346], an mTOR pathway inhibitor.","DESCRIPTION_FULL":"CEM-C1 cells were treated with 10 nM rapamycin or DMSO and harvested for microarray analysis at 24 hours"}
{"STANDARD_NAME":"PTEN_DN.V2_UP","SYSTEMATIC_NAME":"M2759","ORGANISM":"Homo sapiens","PMID":"17060456","AUTHORS":"Kim JS,Lee C,Bonifant CL,Ressom H,Waldman T","GEOID":"GSE6263","EXACT_SOURCE":" PTEN ko vs control; top 300 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes up-regulated in HCT116 cells (colon carcinoma) upon knockdown of PTEN [Gene ID=5728] by RNAi.","DESCRIPTION_FULL":"Two HCT116 PTEN+/+ cell lines (parental cells and a clone with random integration of the targeting vector) and three independently-derived HCT116 PTEN-/- cell lines were studied"}
{"STANDARD_NAME":"DCA_UP.V1_UP","SYSTEMATIC_NAME":"M2762","ORGANISM":"Homo sapiens","PMID":"17222789","AUTHORS":"Bonnet S,Archer SL,Allalunis-Turner J,Haromy A,Beaulieu C,Thompson R,Lee CT,Lopaschuk GD,Puttagunta L,Bonnet S,Harry G,Hashimoto K,Porter CJ,Andrade MA,Thebaud B,Michelakis ED","GEOID":"GSE6014","EXACT_SOURCE":"DCA vs Controls; top 200 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes up-regulated in A549 lung carcinoma and M059K glioblastoma cells treated with dichloroacetate [PubChem=6597].","DESCRIPTION_FULL":"Analysis of A549 lung carcinoma and M059K glioblastoma cells treated with dichloroacetate (DCA), an inhibitor of the mitochondrial pyruvate dehydrogenase kinase. DCA shifts metabolism from glycolysis to glucose oxidation and decreases mitochondrial membrane potential in cancer cells."}
{"STANDARD_NAME":"ESC_J1_UP_EARLY.V1_UP","SYSTEMATIC_NAME":"M2764","ORGANISM":"Mus musculus","PMID":"17394647","AUTHORS":"Hailesellasse Sene K,Porter CJ,Palidwor G,Perez-Iratxeta C,Muro EM,Campbell PA,Rudnicki MA,Andrade-Navarro MA","GEOID":"GSE3749","EXACT_SOURCE":"Early (12, 18 and 24 h) vs control; top 200 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes up-regulated during early stages of differentiation of embryoid bodies from J1 embryonic stem cells.","DESCRIPTION_FULL":"An 11-point time course study on differentiating embryoid bodies from a murine J1 embryonic stem cell line. The time course includes 0 hr, 6 hr, 12 hr, 18 hr, 24 hr, 36 hr, 48 hr, 4 days, 7 days, 9 days and 14 days."}
{"STANDARD_NAME":"ESC_J1_UP_LATE.V1_UP","SYSTEMATIC_NAME":"M2768","ORGANISM":"Mus musculus","PMID":"17394647","AUTHORS":"Hailesellasse Sene K,Porter CJ,Palidwor G,Perez-Iratxeta C,Muro EM,Campbell PA,Rudnicki MA,Andrade-Navarro MA","GEOID":"GSE3749","EXACT_SOURCE":"Late (4, 7 and 9 days) vs control; top 200 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes up-regulated during late stages of differentiation of embryoid bodies from J1 embryonic stem cells.","DESCRIPTION_FULL":"An 11-point time course study on differentiating embryoid bodies from a murine J1 embryonic stem cell line. The time course includes 0 hr, 6 hr, 12 hr, 18 hr, 24 hr, 36 hr, 48 hr, 4 days, 7 days, 9 days and 14 days."}
{"STANDARD_NAME":"ESC_V6.5_UP_EARLY.V1_UP","SYSTEMATIC_NAME":"M2770","ORGANISM":"Mus musculus","PMID":"17394647","AUTHORS":"Hailesellasse Sene K,Porter CJ,Palidwor G,Perez-Iratxeta C,Muro EM,Campbell PA,Rudnicki MA,Andrade-Navarro MA","GEOID":"GSE3231","EXACT_SOURCE":"Early (12, 18 and 24 h) vs control; top 200 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes up-regulated during early stages of differentiation of embryoid bodies from V6.5 embryonic stem cells.","DESCRIPTION_FULL":"An 11-point time course study comparing V6.5 embryonic stem cells versus embryoid bodies. Time course 0 hours, 6 hours, 12 hours, 18 hours, 24 hours, 36 hours, 48 hours, 4 days, 7 days, 9 days, and 14 days."}
{"STANDARD_NAME":"ESC_V6.5_UP_LATE.V1_UP","SYSTEMATIC_NAME":"M2772","ORGANISM":"Mus musculus","PMID":"17394647","AUTHORS":"Hailesellasse Sene K,Porter CJ,Palidwor G,Perez-Iratxeta C,Muro EM,Campbell PA,Rudnicki MA,Andrade-Navarro MA","GEOID":"GSE3231","EXACT_SOURCE":"Late (4, 7 and 9 days) vs control; top 200 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes up-regulated during late stages of differentiation of embryoid bodies from V6.5 embryonic stem cells.","DESCRIPTION_FULL":"An 11-point time course study comparing V6.5 embryonic stem cells versus embryoid bodies. Time course 0 hours, 6 hours, 12 hours, 18 hours, 24 hours, 36 hours, 48 hours, 4 days, 7 days, 9 days, and 14 days."}
{"STANDARD_NAME":"PTEN_DN.V1_DN","SYSTEMATIC_NAME":"M2786","ORGANISM":"Homo sapiens","PMID":"17560336","AUTHORS":"Vivanco I,Palaskas N,Tran C,Finn SP,Getz G,Kennedy NJ,Jiao J,Rose J,Xie W,Loda M,Golub T,Mellinghoff IK,Davis RJ,Wu H,Sawyers CL","GEOID":"GSE7562","EXACT_SOURCE":" PTEN ko vs control; bottom 200 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes down-regulated upon knockdown of PTEN [Gene ID=5728] by RNAi.","DESCRIPTION_FULL":"A431, HCC827 and SKBR-3 cells were retrovirally and stably transduced with a small hairpin RNA targeting human PTEN. PTEN knockdown was confirmed at the protein level by western blot to be approximately 90%. PTEN-deficient sublines were named by adding the suffix PR(for PTEN RNAi) at the end of each of the parental cell line names. For example, PTEN deficient A431 cells are called A431-PR. RNA was extracted from each of the parental and PTEN-deificient lines. Each sample was done in duplicate (ie two chips per sample) for a total of twelve samples."}
{"STANDARD_NAME":"NOTCH_DN.V1_DN","SYSTEMATIC_NAME":"M2788","ORGANISM":"Homo sapiens","PMID":"17560996","AUTHORS":"Dohda T,Maljukova A,Liu L,Heyman M,Grander D,Brodin D,Sangfelt O,Lendahl U","GEOID":"GSE6495","EXACT_SOURCE":"Control vs DAPT; top 200 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes down-regulated in MOLT4 cells (T-ALL) by DAPT [PubChem=16219261], an inhibitor of NOTCH signaling pathway.","DESCRIPTION_FULL":"NOTCH signaling in T-ALL cell lines. Three independent cultures of the MOLT4 cell line before and 48 hours after addition of the gamma-secretase inhibitor DAPT (5 uM)."}
{"STANDARD_NAME":"EIF4E_DN","SYSTEMATIC_NAME":"M2790","ORGANISM":"Homo sapiens","PMID":"17638893","AUTHORS":"Larsson O,Li S,Issaenko OA,Avdulov S,Peterson M,Smith K,Bitterman PB,Polunovsky VA","GEOID":"GSE6043","EXACT_SOURCE":"overexpression of eIFGI vs control; top 100 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes down-regulated in HMEC cells (primary mammary epithelium) upon over-expression of EIF4E [Gene ID=1977] gene.","DESCRIPTION_FULL":"Translation initiation factor 4E confers primary human cells with neoplastic properties. A comparison of HMEC/hTERT and HMEC/hTERT/eIF4E cells using both total and polyribosoaml associated RNA."}
{"STANDARD_NAME":"EIF4E_UP","SYSTEMATIC_NAME":"M2791","ORGANISM":"Homo sapiens","PMID":"17638893","AUTHORS":"Larsson O,Li S,Issaenko OA,Avdulov S,Peterson M,Smith K,Bitterman PB,Polunovsky VA","GEOID":"GSE6043","EXACT_SOURCE":"overexpression of eIFGI vs control; top 100 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes up-regulated in HMEC cells (primary mammary epithelium) upon over-expression of EIF4E [Gene ID=1977] gene.","DESCRIPTION_FULL":"Translation initiation factor 4E confers primary human cells with neoplastic properties. A comparison of HMEC/hTERT and HMEC/hTERT/eIF4E cells using both total and polyribosoaml associated RNA."}
{"STANDARD_NAME":"CRX_DN.V1_DN","SYSTEMATIC_NAME":"M2792","ORGANISM":"Mus musculus","PMID":"17653270","AUTHORS":"Hsiau TH,Diaconu C,Myers CA,Lee J,Cepko CL,Corbo JC","EXACT_SOURCE":"Crx-/- mouse retina cells vs Controls; bottom 150 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes down-regulated in retina cells from CRX [Gene ID=1406] knockout mice.","DESCRIPTION_FULL":"Complete microarray datasets for wild-type vs. Crx-/- comparison at P21 are in Supplementary Table S5. This table contains the full microarray datasets from six microarray hybridizations (three biological replicates each from wild-type (129S6/SvEv) and Crx-/- retinas at P21). The data from each of the individual microarray experiments are labeled with the following prefixes:Crx-mut_#1i etc. and129-wt-P21-#1i etc."}
{"STANDARD_NAME":"CRX_DN.V1_UP","SYSTEMATIC_NAME":"M2793","ORGANISM":"Mus musculus","PMID":"17653270","AUTHORS":"Hsiau TH,Diaconu C,Myers CA,Lee J,Cepko CL,Corbo JC","EXACT_SOURCE":"Crx-/- mouse retina cells vs Controls; top 150 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes up-regulated in retina cells from CRX [Gene ID=1406] knockout mice.","DESCRIPTION_FULL":"Complete microarray datasets for wild-type vs. Crx-/- comparison at P21 are in Supplementary Table S5. This table contains the full microarray datasets from six microarray hybridizations (three biological replicates each from wild-type (129S6/SvEv) and Crx-/- retinas at P21). The data from each of the individual microarray experiments are labeled with the following prefixes:Crx-mut_#1i etc. and129-wt-P21-#1i etc."}
{"STANDARD_NAME":"CRX_NRL_DN.V1_DN","SYSTEMATIC_NAME":"M2794","ORGANISM":"Mus musculus","PMID":"17653270","AUTHORS":"Hsiau TH,Diaconu C,Myers CA,Lee J,Cepko CL,Corbo JC","EXACT_SOURCE":"Crx -/- & Nrl-/- mouse retina cells vs Controls; top 150 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes down-regulated in retina cells from CRX and NRL [Gene ID=1406, 4901] double knockout mice.","DESCRIPTION_FULL":"Complete microarray datasets for wild-type vs. Crx-/-; Nrl-/- comparison at P21 are in Supplementary Table S6. This table contains the full microarray datasets from nine microarray hybridizations (three biological replicates each from wild-type (C57BL/6), wild-type (129S6/SvEv) and Crx-/-; Nrl-/- retinas at P21). Since Crx-/-; Nrl-/- is on a mixed 129 X B6 background, we present comparisons between both of the individual wild-type mutant backgrounds (as data from the mixed control background were not available). The data from each of the individual microarray experiments are labeled with the following prefixes:Crx-mut_#1i etc.,B6-wt-P21-#1i etc. and129-wt-P21-#1i etc."}
{"STANDARD_NAME":"CRX_NRL_DN.V1_UP","SYSTEMATIC_NAME":"M2796","ORGANISM":"Mus musculus","PMID":"17653270","AUTHORS":"Hsiau TH,Diaconu C,Myers CA,Lee J,Cepko CL,Corbo JC","EXACT_SOURCE":"Crx -/- & Nrl-/- mouse retina cells vs Controls; top 150 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes up-regulated in retina cells from CRX and NRL [Gene ID=1406, 4901] double knockout mice.","DESCRIPTION_FULL":"Complete microarray datasets for wild-type vs. Crx-/-; Nrl-/- comparison at P21 are in Supplementary Table S6. This table contains the full microarray datasets from nine microarray hybridizations (three biological replicates each from wild-type (C57BL/6), wild-type (129S6/SvEv) and Crx-/-; Nrl-/- retinas at P21). Since Crx-/-; Nrl-/- is on a mixed 129 X B6 background, we present comparisons between both of the individual wild-type mutant backgrounds (as data from the mixed control background were not available). The data from each of the individual microarray experiments are labeled with the following prefixes:Crx-mut_#1i etc.,B6-wt-P21-#1i etc. and129-wt-P21-#1i etc."}
{"STANDARD_NAME":"NRL_DN.V1_DN","SYSTEMATIC_NAME":"M2797","ORGANISM":"Mus musculus","PMID":"17653270","AUTHORS":"Hsiau TH,Diaconu C,Myers CA,Lee J,Cepko CL,Corbo JC","EXACT_SOURCE":"Nrl-/- mouse retina cells vs Controls; bottom 150 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes down-regulated in retina cells from NRL [Gene ID=4901] knockout mice.","DESCRIPTION_FULL":"The photoreceptor cells of the retina are subject to a greater number of genetic diseases than any other cell type in the human body. The majority of more than 120 cloned human blindness genes are highly expressed in photoreceptors. In order to establish an integrative framework in which to understand these diseases, we have undertaken an experimental and computational analysis of the network controlled by the mammalian photoreceptor transcription factors, Crx, Nrl, and Nr2e3. Using microarray and in situ hybridization datasets we have produced a model of this network which contains over 600 genes, including numerous retinal disease loci as well as previously uncharacterized photoreceptor transcription factors. To elucidate the connectivity of this network, we devised a computational algorithm to identify the photoreceptor-specific cis-regulatory elements (CREs) mediating the interactions between these transcription factors and their target genes. In vivo validation of our computational predictions resulted in the discovery of 19 novel photoreceptor-specific CREs near retinal disease genes. Examination of these CREs permitted the definition of a simple cis-regulatory grammar rule associated with high-level expression. To test the generality of this rule, we used an expanded form of it as a selection filter to evolve photoreceptor CREs from random DNA sequences in silico. When fused to fluorescent reporters, these evolved CREs drove strong, photoreceptor-specific expression in vivo. This study represents the first systematic identification and in vivo validation of CREs in a mammalian neuronal cell type and lays the groundwork for a systems biology of photoreceptor transcriptional regulation."}
{"STANDARD_NAME":"NRL_DN.V1_UP","SYSTEMATIC_NAME":"M2798","ORGANISM":"Mus musculus","PMID":"17653270","AUTHORS":"Hsiau TH,Diaconu C,Myers CA,Lee J,Cepko CL,Corbo JC","EXACT_SOURCE":"Nrl-/- mouse retina cells vs Controls; top 150 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes up-regulated in retina cells from NRL [Gene ID=4901] knockout mice.","DESCRIPTION_FULL":"The photoreceptor cells of the retina are subject to a greater number of genetic diseases than any other cell type in the human body. The majority of more than 120 cloned human blindness genes are highly expressed in photoreceptors. In order to establish an integrative framework in which to understand these diseases, we have undertaken an experimental and computational analysis of the network controlled by the mammalian photoreceptor transcription factors, Crx, Nrl, and Nr2e3. Using microarray and in situ hybridization datasets we have produced a model of this network which contains over 600 genes, including numerous retinal disease loci as well as previously uncharacterized photoreceptor transcription factors. To elucidate the connectivity of this network, we devised a computational algorithm to identify the photoreceptor-specific cis-regulatory elements (CREs) mediating the interactions between these transcription factors and their target genes. In vivo validation of our computational predictions resulted in the discovery of 19 novel photoreceptor-specific CREs near retinal disease genes. Examination of these CREs permitted the definition of a simple cis-regulatory grammar rule associated with high-level expression. To test the generality of this rule, we used an expanded form of it as a selection filter to evolve photoreceptor CREs from random DNA sequences in silico. When fused to fluorescent reporters, these evolved CREs drove strong, photoreceptor-specific expression in vivo. This study represents the first systematic identification and in vivo validation of CREs in a mammalian neuronal cell type and lays the groundwork for a systems biology of photoreceptor transcriptional regulation."}
{"STANDARD_NAME":"RB_DN.V1_DN","SYSTEMATIC_NAME":"M2799","ORGANISM":"Mus musculus","PMID":"17932948","AUTHORS":"Lara MF,Garcia-Escudero R,Ruiz S,Santos M,Moral M,Martinez-Cruz AB,Segrelles C,Lorz C,Paramio JM","GEOID":"GSE9562","EXACT_SOURCE":"RB -/- vs WT; bottom 150 genes (diff. of mean)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes down-regulated in primary keratinocytes from RB1 [Gene ID=5925] skin specific knockout mice.","DESCRIPTION_FULL":"The epidermal-specific ablation of Rb gene leads to increased proliferation, aberrant differentiation, and the disengagement of these processes in vivo and in vitro. These differences in phenotype are more severe with the loss of p107, demonstrating the functional compensation between pRb and p107. As p107 and p130 also exert overlapping functions in epidermis, we have generated Rb(F19/F19)K14cre;Rbl2-/- (pRb-;p130-) mice to analyze possible functional redundancies between pRb and p130. The epidermal phenotype was very similar between pRb- and pRb-;p130- mice, suggesting that pRb and p130 activities are not redundant in epidermis. Importantly, we can correlate the proliferation differences with specific changes in gene expression between pRb-, pRb-;p107- and pRb-;p130- primary keratinocytes using microarray analysis, and explain the phenotypes in the context of altered E2F expression and functionality. Our findings support a model in which the distinct retinoblastoma family members, in conjunction with E2F members, play a central role in regulating epidermal homeostasis through specific or overlapping activities."}
{"STANDARD_NAME":"RB_P107_DN.V1_DN","SYSTEMATIC_NAME":"M2801","ORGANISM":"Mus musculus","PMID":"17932948","AUTHORS":"Lara MF,Garcia-Escudero R,Ruiz S,Santos M,Moral M,Martinez-Cruz AB,Segrelles C,Lorz C,Paramio JM","GEOID":"GSE9562","EXACT_SOURCE":"RB -/- & p107-/-; bottom 150 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes down-regulated in primary keratinocytes from RB1 and RBL1 [Gene ID=5925, 5933] skin specific knockout mice.","DESCRIPTION_FULL":"The epidermal-specific ablation of Rb gene leads to increased proliferation, aberrant differentiation, and the disengagement of these processes in vivo and in vitro. These differences in phenotype are more severe with the loss of p107, demonstrating the functional compensation between pRb and p107. As p107 and p130 also exert overlapping functions in epidermis, we have generated Rb(F19/F19)K14cre;Rbl2-/- (pRb-;p130-) mice to analyze possible functional redundancies between pRb and p130. The epidermal phenotype was very similar between pRb- and pRb-;p130- mice, suggesting that pRb and p130 activities are not redundant in epidermis. Importantly, we can correlate the proliferation differences with specific changes in gene expression between pRb-, pRb-;p107- and pRb-;p130- primary keratinocytes using microarray analysis, and explain the phenotypes in the context of altered E2F expression and functionality. Our findings support a model in which the distinct retinoblastoma family members, in conjunction with E2F members, play a central role in regulating epidermal homeostasis through specific or overlapping activities."}
{"STANDARD_NAME":"RB_P130_DN.V1_DN","SYSTEMATIC_NAME":"M2803","ORGANISM":"Mus musculus","PMID":"17932948","AUTHORS":"Lara MF,Garcia-Escudero R,Ruiz S,Santos M,Moral M,Martinez-Cruz AB,Segrelles C,Lorz C,Paramio JM","GEOID":"GSE9562","EXACT_SOURCE":"RB -/- & p130-/-; bottom 150 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes down-regulated in primary keratinocytes from RB1 and RBL2 [Gene ID=5925, 5934] skin specific knockout mice.","DESCRIPTION_FULL":"The epidermal-specific ablation of Rb gene leads to increased proliferation, aberrant differentiation, and the disengagement of these processes in vivo and in vitro. These differences in phenotype are more severe with the loss of p107, demonstrating the functional compensation between pRb and p107. As p107 and p130 also exert overlapping functions in epidermis, we have generated Rb(F19/F19)K14cre;Rbl2-/- (pRb-;p130-) mice to analyze possible functional redundancies between pRb and p130. The epidermal phenotype was very similar between pRb- and pRb-;p130- mice, suggesting that pRb and p130 activities are not redundant in epidermis. Importantly, we can correlate the proliferation differences with specific changes in gene expression between pRb-, pRb-;p107- and pRb-;p130- primary keratinocytes using microarray analysis, and explain the phenotypes in the context of altered E2F expression and functionality. Our findings support a model in which the distinct retinoblastoma family members, in conjunction with E2F members, play a central role in regulating epidermal homeostasis through specific or overlapping activities."}
{"STANDARD_NAME":"CAHOY_ASTROCYTIC","SYSTEMATIC_NAME":"M2806","ORGANISM":"Mus musculus","PMID":"18171944","AUTHORS":"Cahoy JD,Emery B,Kaushal A,Foo LC,Zamanian JL,Christopherson KS,Xing Y,Lubischer JL,Krieg PA,Krupenko SA,Thompson WJ,Barres BA","GEOID":"GSE9566","EXACT_SOURCE":"astrocytic","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes up-regulated in astrocytes.","DESCRIPTION_FULL":"A Transcriptome Database for Astrocytes, Neurons, and Oligodendrocytes"}
{"STANDARD_NAME":"CAHOY_NEURONAL","SYSTEMATIC_NAME":"M2808","ORGANISM":"Mus musculus","PMID":"18171944","AUTHORS":"Cahoy JD,Emery B,Kaushal A,Foo LC,Zamanian JL,Christopherson KS,Xing Y,Lubischer JL,Krieg PA,Krupenko SA,Thompson WJ,Barres BA","GEOID":"GSE9566","EXACT_SOURCE":"Cahoy_neuronal","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes up-regulated in neurons.","DESCRIPTION_FULL":"A Transcriptome Database for Astrocytes, Neurons, and Oligodendrocytes"}
{"STANDARD_NAME":"CAHOY_OLIGODENDROCUTIC","SYSTEMATIC_NAME":"M2809","ORGANISM":"Mus musculus","PMID":"18171944","AUTHORS":"Cahoy JD,Emery B,Kaushal A,Foo LC,Zamanian JL,Christopherson KS,Xing Y,Lubischer JL,Krieg PA,Krupenko SA,Thompson WJ,Barres BA","GEOID":"GSE9566","EXACT_SOURCE":"Cahoy_oligodendrocutic","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes up-regulated in oligodendrocytes.","DESCRIPTION_FULL":"A Transcriptome Database for Astrocytes, Neurons, and Oligodendrocytes"}
{"STANDARD_NAME":"IL15_UP.V1_DN","SYSTEMATIC_NAME":"M2818","ORGANISM":"Homo sapiens","PMID":"18281483","AUTHORS":"Marzec M,Halasa K,Kasprzycka M,Wysocka M,Liu X,Tobias JW,Baldwin D,Zhang Q,Odum N,Rook AH,Wasik MA","GEOID":"GSE8685","EXACT_SOURCE":"Sez-4 cells starved of IL-2 and activated with IL-15 vs Sez-4 cells starved of IL-2; bottom 200 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes down-regulated in Sez-4 cells (T lymphocyte) that were first starved of IL2 [Gene ID=3558] and then stimulated with IL15 [Gene ID=3600].","DESCRIPTION_FULL":"Sez-4 cell line was starved of IL2 for 16h, washed twice and placed into 6-well plates in 10ml RPMI (10% FBS) for 2 h followed by addition of IL-15 (20ng/mL) or medium alone for 4 h."}
{"STANDARD_NAME":"IL2_UP.V1_DN","SYSTEMATIC_NAME":"M2820","ORGANISM":"Homo sapiens","PMID":"18281483","AUTHORS":"Marzec M,Halasa K,Kasprzycka M,Wysocka M,Liu X,Tobias JW,Baldwin D,Zhang Q,Odum N,Rook AH,Wasik MA","GEOID":"GSE8685","EXACT_SOURCE":"Sez-4 cells starved of IL-2 and activated with IL-2 vs Sez-4 cells starved of IL-2; bottom 200 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes down-regulated in Sez-4 cells (T lymphocyte) that were first starved of IL2 [Gene ID=3558] and then stimulated with IL2 [Gene ID=3558].","DESCRIPTION_FULL":"Sez-4 cell line was starved of IL2 for 16h, washed twice and placed into 6-well plates in 10ml RPMI (10% FBS) for 2 h followed by addition of IL-2 (200U) or medium alone for 4 h."}
{"STANDARD_NAME":"IL21_UP.V1_DN","SYSTEMATIC_NAME":"M2824","ORGANISM":"Homo sapiens","PMID":"18281483","AUTHORS":"Marzec M,Halasa K,Kasprzycka M,Wysocka M,Liu X,Tobias JW,Baldwin D,Zhang Q,Odum N,Rook AH,Wasik MA","GEOID":"GSE8685","EXACT_SOURCE":"Sez-4 cells starved of IL-2 and activated with IL-21 vs Sez-4 cells starved of IL-2; bottom 200 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes down-regulated in Sez-4 cells (T lymphocyte) that were first starved of IL2 [Gene ID=3558] and then stimulated with IL21 [Gene ID=59067].","DESCRIPTION_FULL":"Sez-4 cell line was starved of IL2 for 16h, washed twice and placed into 6-well plates in 10ml RPMI (10% FBS) for 2 h followed by addition of IL-21 (100 ng/ml) or medium alone for 4 h."}
{"STANDARD_NAME":"PDGF_ERK_DN.V1_DN","SYSTEMATIC_NAME":"M2828","ORGANISM":"Homo sapiens","PMID":"18312689","AUTHORS":"Antipova AA,Stockwell BR,Golub TR","GEOID":"GSE7403","EXACT_SOURCE":"PDGF stimulation after ERL inhibition vs Controls; bottom 300 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes down-regulated in SH-SY5Y cells (neuroblastoma) in response to PDGF [Gene ID=] stimulation after pre-treatment with the ERK inhibitors U0126 and PD98059 [PubChem=3006531, 4713].","DESCRIPTION_FULL":"To define ERK/PDGFR activation signature, SH-SY5Y cells were grown to confluence and starved overnight in serum-free medium in order to silence any sustained effects from growth factor signaling. Prior to induction with 50ng/ml PDGF, cells were treated with pathway inhibitors 74 mM Apigenin or 50 mM U0126, or with DMSO (carrier) for 60 minutes. Total RNA was isolated 30 minutes after PDGF addition. Experiments were performed in duplicate. The RNA was processed and hybridized with Affymetrix U133A GeneChips."}
{"STANDARD_NAME":"PDGF_ERK_DN.V1_UP","SYSTEMATIC_NAME":"M2830","ORGANISM":"Homo sapiens","PMID":"18312689","AUTHORS":"Antipova AA,Stockwell BR,Golub TR","GEOID":"GSE7403","EXACT_SOURCE":"PDGF stimulation after ERL inhibition vs Controls; top 300 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes up-regulated in SH-SY5Y cells (neuroblastoma) in response to PDGF [Gene ID=] stimulation after pre-treatment with the ERK inhibitors U0126 and PD98059 [PubChem=3006531, 4713].","DESCRIPTION_FULL":"To define ERK/PDGFR activation signature, SH-SY5Y cells were grown to confluence and starved overnight in serum-free medium in order to silence any sustained effects from growth factor signaling. Prior to induction with 50ng/ml PDGF, cells were treated with pathway inhibitors 74 mM Apigenin or 50 mM U0126, or with DMSO (carrier) for 60 minutes. Total RNA was isolated 30 minutes after PDGF addition. Experiments were performed in duplicate. The RNA was processed and hybridized with Affymetrix U133A GeneChips."}
{"STANDARD_NAME":"PDGF_UP.V1_DN","SYSTEMATIC_NAME":"M2832","ORGANISM":"Homo sapiens","PMID":"18312689","AUTHORS":"Antipova AA,Stockwell BR,Golub TR","GEOID":"GSE7403","EXACT_SOURCE":"PDGF stimulation vs Controls; bottom 300 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes down-regulated in SH-SY5Y cells (neuroblastoma) in response to PDGF [Gene ID=] stimulation.","DESCRIPTION_FULL":"To define ERK/PDGFR activation signature, SH-SY5Y cells were grown to confluence and starved overnight in serum-free medium in order to silence any sustained effects from growth factor signaling. Prior to induction with 50ng/ml PDGF, cells were treated with pathway inhibitors 74 mM Apigenin or 50 mM U0126, or with DMSO (carrier) for 60 minutes. Total RNA was isolated 30 minutes after PDGF addition. Experiments were performed in duplicate. The RNA was processed and hybridized with Affymetrix U133A GeneChips."}
{"STANDARD_NAME":"PDGF_UP.V1_UP","SYSTEMATIC_NAME":"M2834","ORGANISM":"Homo sapiens","PMID":"18312689","AUTHORS":"Antipova AA,Stockwell BR,Golub TR","GEOID":"GSE7403","EXACT_SOURCE":"PDGF stimulation vs Controls; top 300 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes up-regulated in SH-SY5Y cells (neuroblastoma) in response to PDGF [Gene ID=] stimulation.","DESCRIPTION_FULL":"To define ERK/PDGFR activation signature, SH-SY5Y cells were grown to confluence and starved overnight in serum-free medium in order to silence any sustained effects from growth factor signaling. Prior to induction with 50ng/ml PDGF, cells were treated with pathway inhibitors 74 mM Apigenin or 50 mM U0126, or with DMSO (carrier) for 60 minutes. Total RNA was isolated 30 minutes after PDGF addition. Experiments were performed in duplicate. The RNA was processed and hybridized with Affymetrix U133A GeneChips."}
{"STANDARD_NAME":"TGFB_UP.V1_DN","SYSTEMATIC_NAME":"M2838","ORGANISM":"Homo sapiens","PMID":"18394990","AUTHORS":"Padua D,Zhang XH,Wang Q,Nadal C,Gerald WL,Gomis RR,Massagué J","GEOID":"E-TABM-420","EXACT_SOURCE":"stimulation with TGFB vs control; bottom 200 genes","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes down-regulated in a panel of epithelial cell lines by TGFB1 [Gene ID=7040].","DESCRIPTION_FULL":"A gene expression signature typifying the TGFbeta response in human epithelial cells was obtained from transcriptomic analysis of four human cell lines (Figure 1A, Supplementary Figure 1). These cell lines include HaCaT keratinocytes, HPL1 immortalized lung epithelial cells, MCF10A breast epithelial cells, and MDA-MB-231 breast carcinoma cells. The cells were treated with TGFB1 for 3 h in order to capture direct TGFbeta gene responses ."}
{"STANDARD_NAME":"YAP1_DN","SYSTEMATIC_NAME":"M2841","ORGANISM":"Homo sapiens","PMID":"18413746","AUTHORS":"Zhang J,Smolen GA,Haber DA","GEOID":"GSE10196","EXACT_SOURCE":"YAP1 vs control; bottom 50 genes","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes down-regulated in MCF10A cells (breast cancer) over-expressing YAP1 [Gene ID=10413] gene.","DESCRIPTION_FULL":"MCF10A cells were infected with retrovirus constructs (vector or YAP) and puromycin was used to select for transduced cells. Cells were split and grown to ~60-75%% confluency at which point they were harvested for RNA. Vector vs. YAP comparison was done in duplicate."}
{"STANDARD_NAME":"YAP1_UP","SYSTEMATIC_NAME":"M2845","ORGANISM":"Homo sapiens","PMID":"18413746","AUTHORS":"Zhang J,Smolen GA,Haber DA","GEOID":"GSE10196","EXACT_SOURCE":"YAP1 vs control; top 50 genes","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes up-regulated in MCF10A cells (breast cancer) over-expressing YAP1 [Gene ID=10413] gene.","DESCRIPTION_FULL":"MCF10A cells were infected with retrovirus constructs (vector or YAP) and puromycin was used to select for transduced cells. Cells were split and grown to ~60-75%% confluency at which point they were harvested for RNA. Vector vs. YAP comparison was done in duplicate."}
{"STANDARD_NAME":"SIRNA_EIF4GI_DN","SYSTEMATIC_NAME":"M2846","ORGANISM":"Homo sapiens","PMID":"18426977","AUTHORS":"Ramirez-Valle F,Braunstein S,Zavadil J,Formenti SC,Schneider RJ","GEOID":"GSE11011","EXACT_SOURCE":"control vs RNAi KD eIFGI; bottom 100 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes down-regulated in MCF10A cells vs knockdown of EIF4G1 [Gene ID=1981] gene by RNAi.","DESCRIPTION_FULL":"eIF4GI Links Nutrient Sensing by mTOR to Cell Proliferation and Inhibition of Autophagy. Two sets of experiments are presented. First, overall transcriptome changes were determined for control or eIF4GI silenced cells. Next, mRNAs associated with polysomes were compared between control and eIF4GI silenced cells."}
{"STANDARD_NAME":"SIRNA_EIF4GI_UP","SYSTEMATIC_NAME":"M2847","ORGANISM":"Homo sapiens","PMID":"18426977","AUTHORS":"Ramirez-Valle F,Braunstein S,Zavadil J,Formenti SC,Schneider RJ","GEOID":"GSE11011","EXACT_SOURCE":"control vs RNAi KD eIFGI; top 100 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes up-regulated in MCF10A cells vs knockdown of EIF4G1 [Gene ID=1981] gene by RNAi.","DESCRIPTION_FULL":"eIF4GI Links Nutrient Sensing by mTOR to Cell Proliferation and Inhibition of Autophagy. Two sets of experiments are presented. First, overall transcriptome changes were determined for control or eIF4GI silenced cells. Next, mRNAs associated with polysomes were compared between control and eIF4GI silenced cells."}
{"STANDARD_NAME":"SINGH_KRAS_DEPENDENCY_SIGNATURE","SYSTEMATIC_NAME":"M2851","ORGANISM":"Homo sapiens","PMID":"19477428","AUTHORS":"Singh A,Greninger P,Rhodes D,Koopman L,Violette S,Bardeesy N,Settleman J","GEOID":"GSE15126","EXACT_SOURCE":"Fig. 5B","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes defining the KRAS [Gene ID=3845] dependency signature.","DESCRIPTION_FULL":"K-ras mutations occur frequently in epithelial cancers. Using short hairpin RNAs to deplete K-Ras in lung and pancreatic cancer cell lines harboring K-ras mutations, two classes were identified-lines that do or do not require K-Ras to maintain viability. Comparing these two classes of cancer cells revealed a gene expression signature in K-Ras-dependent cells, associated with a well-differentiated epithelial phenotype, which was also seen in primary tumors. Several of these genes encode pharmacologically tractable proteins, such as Syk and Ron kinases and integrin beta6, depletion of which induces epithelial-mesenchymal transformation (EMT) and apoptosis specifically in K-Ras-dependent cells. These findings indicate that epithelial differentiation and tumor cell viability are associated, and that EMT regulators in K-Ras-addicted cancers represent candidate therapeutic targets."}
{"STANDARD_NAME":"STK33_DN","SYSTEMATIC_NAME":"M2853","ORGANISM":"Homo sapiens","PMID":"19490892","AUTHORS":"Scholl C,Froehling S,Dunn IF,Schinzel AC,Barbie DA,Kim SY,Silver SJ,Tamayo P,Wadlow RC,Ramaswamy S,Doehner K,Bullinger L,Sandy P,Boehm JS,Root DE,Jacks T,Hahn WC,Gilliland DG","GEOID":"GSE15151","EXACT_SOURCE":"control vs KD STK33 in nomo & skm cells; bottom 300 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes down-regulated in NOMO-1 and SKM-1 cells (AML) after knockdown of STK33 [Gene ID=65975] by RNAi.","DESCRIPTION_FULL":"NOMO-1 and SKM-1 acute myeloid leukemia (AML) cells were stably transduced with different pLKO.1puro lentiviral shRNA vectors targeting STK33 or a nontargeting control shRNA. VSV-G-pseudotyped lentiviral particles were produced by cotransfection of 293T cells with pLKO.1 constructs and the compatible packaging plasmids pMD.G and pCMVR8.91. Virus was harvested 48 and 72 hours after transfection, cells were incubated with lentiviral supernatants for 30 hours, and infected cells were selected with 2ug/ml puromycin. RNA was isolated after 2 days of puromycin selection and isolation of viable cells by density gradient centrifugation, and gene expression was profiled using GeneChip Human Genome U133 Plus 2.0 microarrays (Affymetrix)."}
{"STANDARD_NAME":"STK33_NOMO_DN","SYSTEMATIC_NAME":"M2854","ORGANISM":"Homo sapiens","PMID":"19490892","AUTHORS":"Scholl C,Froehling S,Dunn IF,Schinzel AC,Barbie DA,Kim SY,Silver SJ,Tamayo P,Wadlow RC,Ramaswamy S,Doehner K,Bullinger L,Sandy P,Boehm JS,Root DE,Jacks T,Hahn WC,Gilliland DG","GEOID":"GSE15151","EXACT_SOURCE":"control vs KD STK33 in nomo cells; bottom 300 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes down-regulated in NOMO-1 cells (AML) after knockdown of STK33 [Gene ID=65975] by RNAi.","DESCRIPTION_FULL":"NOMO-1 acute myeloid leukemia (AML) cells were stably transduced with different pLKO.1puro lentiviral shRNA vectors targeting STK33 or a nontargeting control shRNA. VSV-G-pseudotyped lentiviral particles were produced by cotransfection of 293T cells with pLKO.1 constructs and the compatible packaging plasmids pMD.G and pCMVR8.91. Virus was harvested 48 and 72 hours after transfection, cells were incubated with lentiviral supernatants for 30 hours, and infected cells were selected with 2ug/ml puromycin. RNA was isolated after 2 days of puromycin selection and isolation of viable cells by density gradient centrifugation, and gene expression was profiled using GeneChip Human Genome U133 Plus 2.0 microarrays (Affymetrix)."}
{"STANDARD_NAME":"STK33_SKM_DN","SYSTEMATIC_NAME":"M2856","ORGANISM":"Homo sapiens","PMID":"19490892","AUTHORS":"Scholl C,Froehling S,Dunn IF,Schinzel AC,Barbie DA,Kim SY,Silver SJ,Tamayo P,Wadlow RC,Ramaswamy S,Doehner K,Bullinger L,Sandy P,Boehm JS,Root DE,Jacks T,Hahn WC,Gilliland DG","GEOID":"GSE15151","EXACT_SOURCE":"control vs KD STK33 in skm cells; bottom 300 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes down-regulated in SKM-1 cells (AML) after knockdown of STK33 [Gene ID=65975] by RNAi.","DESCRIPTION_FULL":"SKM-1 acute myeloid leukemia (AML) cells were stably transduced with different pLKO.1puro lentiviral shRNA vectors targeting STK33 or a nontargeting control shRNA. VSV-G-pseudotyped lentiviral particles were produced by cotransfection of 293T cells with pLKO.1 constructs and the compatible packaging plasmids pMD.G and pCMVR8.91. Virus was harvested 48 and 72 hours after transfection, cells were incubated with lentiviral supernatants for 30 hours, and infected cells were selected with 2ug/ml puromycin. RNA was isolated after 2 days of puromycin selection and isolation of viable cells by density gradient centrifugation, and gene expression was profiled using GeneChip Human Genome U133 Plus 2.0 microarrays (Affymetrix)."}
{"STANDARD_NAME":"KRAS.DF.V1_DN","SYSTEMATIC_NAME":"M2861","ORGANISM":"Homo sapiens","PMID":"GSE17643","AUTHORS":"Barbie DA,Tamayo P,Boehm JS,Kim SY,Moody SE,Dunn IF,Schinzel AC,Sandy P,Meylan E,Scholl C,Froehling S,Chan EM,Sos ML,Michel K,Mermel C,Silver SJ,Weir BA,Reiling JH,Sheng Q,Gupta PB,Wadlow RC,Le H,Hoersch S,Wittner BS,Ramaswamy S,Livingston DM,Sabatini DM,Meyerson M,Thomas RK,Lander ES,Mesirov JP,Root DE,Gilliland DG,Jacks T,Hahn WC","GEOID":"GSE17643","EXACT_SOURCE":"AALE-KRAS vs AALE-Vector top 200 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes down-regulated in epithelial lung cancer cell lines over-expressing an oncogenic form of KRAS [Gene ID=3845] gene.","DESCRIPTION_FULL":"Profiling of immortalized human lung epithelial cells following oncogenic KRAS expression and TBK1 suppression. The purpose of the dataset is to analyze expression of genes induced by KRAS and regulated by TBK1. The proto-oncogene KRAS is mutated in a wide array of human cancers, most of which are aggressive and respond poorly to standard therapies. Although the identification of specific oncogenes has led to the development of clinically effective, molecularly targeted therapies in some cases, KRAS has remained refractory to this approach. An alternative strategy for targeting KRAS is to identify gene products that, when suppressed or inhibited, result in cell death only in the presence of an oncogenic allele. Here we have used systematic RNA interference (RNAi) to detect synthetic lethal partners of oncogenic KRAS and found that the non-canonical IkB kinase, TBK1, was selectively essential in cells that harbor mutant KRAS. Suppression of TBK1 induced apoptosis specifically in human cancer cell lines that depend on oncogenic KRAS expression. In these cells, TBK1 activated NF-kappaB anti-apoptotic signals involving cREL and BCL-XL that were essential for survival, providing mechanistic insights into this synthetic lethal interaction. These observations identify TBK1 as a potential therapeutic target in KRAS mutant tumors and establish a general approach for the rational identification of co-dependent pathways in cancer. Knock out of TBK1 in the contect of KRAS activation (mutant) and control (WT)."}
{"STANDARD_NAME":"TBK1.DN.48HRS_DN","SYSTEMATIC_NAME":"M2868","ORGANISM":"Homo sapiens","PMID":"GSE17643","AUTHORS":"Barbie DA,Tamayo P,Boehm JS,Kim SY,Moody SE,Dunn IF,Schinzel AC,Sandy P,Meylan E,Scholl C,Froehling S,Chan EM,Sos ML,Michel K,Mermel C,Silver SJ,Weir BA,Reiling JH,Sheng Q,Gupta PB,Wadlow RC,Le H,Hoersch S,Wittner BS,Ramaswamy S,Livingston DM,Sabatini DM,Meyerson M,Thomas RK,Lander ES,Mesirov JP,Root DE,Gilliland DG,Jacks T,Hahn WC","GEOID":"GSE17643","EXACT_SOURCE":"AALE-KRAS + shTBK1 vs controls; top 1000 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes down-regulated in epithelial lung cancer cell lines upon over-expression of an oncogenic form of KRAS [Gene ID=3845] gene and knockdown of TBK1 [Gene ID=29110] gene by RNAi.","DESCRIPTION_FULL":"Profiling of immortalized human lung epithelial cells following oncogenic KRAS expression and TBK1 suppression. The purpose of the dataset is to analyze expression of genes induced by KRAS and regulated by TBK1. The proto-oncogene KRAS is mutated in a wide array of human cancers, most of which are aggressive and respond poorly to standard therapies. Although the identification of specific oncogenes has led to the development of clinically effective, molecularly targeted therapies in some cases, KRAS has remained refractory to this approach. An alternative strategy for targeting KRAS is to identify gene products that, when suppressed or inhibited, result in cell death only in the presence of an oncogenic allele. Here we have used systematic RNA interference (RNAi) to detect synthetic lethal partners of oncogenic KRAS and found that the non-canonical IkB kinase, TBK1, was selectively essential in cells that harbor mutant KRAS. Suppression of TBK1 induced apoptosis specifically in human cancer cell lines that depend on oncogenic KRAS expression. In these cells, TBK1 activated NF-kappaB anti-apoptotic signals involving cREL and BCL-XL that were essential for survival, providing mechanistic insights into this synthetic lethal interaction. These observations identify TBK1 as a potential therapeutic target in KRAS mutant tumors and establish a general approach for the rational identification of co-dependent pathways in cancer. Knock out of TBK1 in the contect of KRAS activation (mutant) and control (WT)."}
{"STANDARD_NAME":"TBK1.DN.48HRS_UP","SYSTEMATIC_NAME":"M2869","ORGANISM":"Homo sapiens","PMID":"GSE17643","AUTHORS":"Barbie DA,Tamayo P,Boehm JS,Kim SY,Moody SE,Dunn IF,Schinzel AC,Sandy P,Meylan E,Scholl C,Froehling S,Chan EM,Sos ML,Michel K,Mermel C,Silver SJ,Weir BA,Reiling JH,Sheng Q,Gupta PB,Wadlow RC,Le H,Hoersch S,Wittner BS,Ramaswamy S,Livingston DM,Sabatini DM,Meyerson M,Thomas RK,Lander ES,Mesirov JP,Root DE,Gilliland DG,Jacks T,Hahn WC","GEOID":"GSE17643","EXACT_SOURCE":"AALE-KRAS + shTBK1 vs controls; bottom 1000 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes up-regulated in epithelial lung cancer cell lines upon over-expression of an oncogenic form of KRAS [Gene ID=3845] gene and knockdown of TBK1 [Gene ID=29110] gene by RNAi.","DESCRIPTION_FULL":"Profiling of immortalized human lung epithelial cells following oncogenic KRAS expression and TBK1 suppression. The purpose of the dataset is to analyze expression of genes induced by KRAS and regulated by TBK1. The proto-oncogene KRAS is mutated in a wide array of human cancers, most of which are aggressive and respond poorly to standard therapies. Although the identification of specific oncogenes has led to the development of clinically effective, molecularly targeted therapies in some cases, KRAS has remained refractory to this approach. An alternative strategy for targeting KRAS is to identify gene products that, when suppressed or inhibited, result in cell death only in the presence of an oncogenic allele. Here we have used systematic RNA interference (RNAi) to detect synthetic lethal partners of oncogenic KRAS and found that the non-canonical IkB kinase, TBK1, was selectively essential in cells that harbor mutant KRAS. Suppression of TBK1 induced apoptosis specifically in human cancer cell lines that depend on oncogenic KRAS expression. In these cells, TBK1 activated NF-kappaB anti-apoptotic signals involving cREL and BCL-XL that were essential for survival, providing mechanistic insights into this synthetic lethal interaction. These observations identify TBK1 as a potential therapeutic target in KRAS mutant tumors and establish a general approach for the rational identification of co-dependent pathways in cancer. Knock out of TBK1 in the contect of KRAS activation (mutant) and control (WT)."}
{"STANDARD_NAME":"NFE2L2.V2","SYSTEMATIC_NAME":"M2870","ORGANISM":"Mus musculus","PMID":"27088724","AUTHORS":"Kim JW,Botvinnik OB,Abudayyeh O,Birger C,Rosenbluh J,Shrestha Y,Abazeed ME,Hammerman PS,DiCara D,Konieczkowski DJ,Johannessen CM,Liberzon A,Alizad-Rahvar AR,Alexe G,Aguirre A,Ghandi M,Greulich H,Vazquez F,Weir BA,Van Allen EM,Tsherniak A,Shao DD,Zack TI,Noble M,Getz G,Beroukhim R,Garraway LA,Ardakani M,Romualdi C,Sales G,Barbie DA,Boehm JS,Hahn WC,Mesirov JP,Tamayo P","EXACT_SOURCE":"Knockout of NERF2 vs control; down-regulated genes","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes down-regulated in MEF cells (embryonic fibroblasts) after knockout of NFE2L2 [Gene ID=4780] gene.","DESCRIPTION_FULL":"The transcription factor NRF2 (NFE2L2), induces a cytoprotective response to oxidative stresses and its mutations confer constitutive activation in cancer. We generated a gene set representing activation of NFE2L2, as represented by genes downregulated by NFE2L2 knockout using the data from Malhotra et al. D, et al. Nucleic Acids Res. 2010;38:5718-5734."}
{"STANDARD_NAME":"CORDENONSI_YAP_CONSERVED_SIGNATURE","SYSTEMATIC_NAME":"M2871","ORGANISM":"Homo sapiens","PMID":"22078877","AUTHORS":"Cordenonsi M,Zanconato F,Azzolin L,Forcato M,Rosato A,Frasson C,Inui M,Montagner M,Parenti AR,Poletti A,Daidone MG,Dupont S,Basso G,Bicciato S,Piccolo S","GEOID":"Cordenonsi_et_al_2011_table_S3","EXACT_SOURCE":"Table 3S","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"YAP conserved signature.","DESCRIPTION_FULL":"Cancer stem cells (CSCs) are proposed to drive tumor initiation and progression. Yet, our understanding of the cellular and molecular mechanisms that underlie CSC properties is limited. Here we show that the activity of TAZ, a transducer of the Hippo pathway, is required to sustain self-renewal and tumor-initiation capacities in breast CSCs. TAZ protein levels and activity are elevated in prospective CSCs and in poorly differentiated human tumors and have prognostic value. Gain of TAZ endows self-renewal capacity to non-CSCs. In epithelial cells, TAZ forms a complex with the cell-polarity determinant Scribble, and loss of Scribble--or induction of the epithelial-mesenchymal transition (EMT)--disrupts the inhibitory association of TAZ with the core Hippo kinases MST and LATS. This study links the CSC concept to the Hippo pathway in breast cancer and reveals a mechanistic basis of the control of Hippo kinases by cell polarity"}
{"STANDARD_NAME":"JAK2_DN.V1_DN","SYSTEMATIC_NAME":"M2872","ORGANISM":"Homo sapiens","AUTHORS":"Ebert B","EXACT_SOURCE":"JAK2_sh vs controls; bottom 200 genes","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes down-regulated in HEL cells (erythroleukemia) after knockdown of JAK2 [Gene ID=3717] gene by RNAi."}
{"STANDARD_NAME":"JAK2_DN.V1_UP","SYSTEMATIC_NAME":"M2873","ORGANISM":"Homo sapiens","AUTHORS":"Ebert B","EXACT_SOURCE":"JAK2_sh vs controls; top 200 genes","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes up-regulated in HEL cells (erythroleukemia) after knockdown of JAK2 [Gene ID=3717] gene by RNAi."}
{"STANDARD_NAME":"PGF_UP.V1_DN","SYSTEMATIC_NAME":"M2673","ORGANISM":"Homo sapiens","PMID":"15516835","AUTHORS":"Schoenfeld J,Lessan K,Johnson NA,Charnock-Jones DS,Evans A,Vourvouhaki E,Scott L,Stephens R,Freeman TC,Saidi SA,Tom B,Weston GC,Rogers P,Smith SK,Print CG","GEOID":"GSE837","EXACT_SOURCE":"PGF vs control; bottom 200 genes (diff. of means)","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C6","CONTRIBUTOR":"Pablo Tamayo","CONTRIBUTOR_ORG":"Broad Institute","DESCRIPTION_BRIEF":"Genes down-regulated in HUVEC cells (endothelium) by treatment with PGF [Gene ID=5228].","DESCRIPTION_FULL":"HUVECs (human umbilical cord vein endothelial cells) are treated with the angiogenic factor PlGF (alias of PGF, placental growth factor) in low or high serum media."}
{"STANDARD_NAME":"KAECH_NAIVE_VS_DAY8_EFF_CD8_TCELL_UP","SYSTEMATIC_NAME":"M3012","ORGANISM":"Mus musculus","PMID":"12526810","AUTHORS":"Kaech SM,Hemby S,Kersh E,Ahmed R.","EXACT_SOURCE":"GSE1000001_1574_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in naïve CD8 T cells compared to effector CD8 T cells at the peak expansion phase (day 8 after LCMV-Armstrong infection).","DESCRIPTION_FULL":"How and when memory T cells form during an immune response are long-standing questions. To better understand memory CD8 T cell development, a time course of gene expression and functional changes in antigen-specific T cells during viral infection was evaluated. The expression of many genes continued to change after viral clearance in accordance with changes in CD8 T cell functional properties. Even though memory cell precursors were present at the peak of the immune response, these cells did not display hallmark functional traits of memory T cells. However, these cells gradually acquired the memory cell qualities of self-renewal and rapid recall to antigen suggesting the model that antigen-specific CD8 T cells progressively differentiate into memory cells following viral infection."}
{"STANDARD_NAME":"KAECH_NAIVE_VS_DAY8_EFF_CD8_TCELL_DN","SYSTEMATIC_NAME":"M3013","ORGANISM":"Mus musculus","PMID":"12526810","AUTHORS":"Kaech SM,Hemby S,Kersh E,Ahmed R.","EXACT_SOURCE":"GSE1000001_1574_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in naïve CD8 T cells compared to effector CD8 T cells at the peak expansion phase (day 8 after LCMV-Armstrong infection).","DESCRIPTION_FULL":"How and when memory T cells form during an immune response are long-standing questions. To better understand memory CD8 T cell development, a time course of gene expression and functional changes in antigen-specific T cells during viral infection was evaluated. The expression of many genes continued to change after viral clearance in accordance with changes in CD8 T cell functional properties. Even though memory cell precursors were present at the peak of the immune response, these cells did not display hallmark functional traits of memory T cells. However, these cells gradually acquired the memory cell qualities of self-renewal and rapid recall to antigen suggesting the model that antigen-specific CD8 T cells progressively differentiate into memory cells following viral infection."}
{"STANDARD_NAME":"KAECH_NAIVE_VS_DAY15_EFF_CD8_TCELL_UP","SYSTEMATIC_NAME":"M3014","ORGANISM":"Mus musculus","PMID":"12526810","AUTHORS":"Kaech SM,Hemby S,Kersh E,Ahmed R.","EXACT_SOURCE":"GSE1000001_1575_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in naïve CD8 T cells compared to effector CD8 T cells at contraction phase (day 15 after LCMV-Armstrong infection).","DESCRIPTION_FULL":"How and when memory T cells form during an immune response are long-standing questions. To better understand memory CD8 T cell development, a time course of gene expression and functional changes in antigen-specific T cells during viral infection was evaluated. The expression of many genes continued to change after viral clearance in accordance with changes in CD8 T cell functional properties. Even though memory cell precursors were present at the peak of the immune response, these cells did not display hallmark functional traits of memory T cells. However, these cells gradually acquired the memory cell qualities of self-renewal and rapid recall to antigen suggesting the model that antigen-specific CD8 T cells progressively differentiate into memory cells following viral infection."}
{"STANDARD_NAME":"KAECH_NAIVE_VS_DAY15_EFF_CD8_TCELL_DN","SYSTEMATIC_NAME":"M3017","ORGANISM":"Mus musculus","PMID":"12526810","AUTHORS":"Kaech SM,Hemby S,Kersh E,Ahmed R.","EXACT_SOURCE":"GSE1000001_1575_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in naïve CD8 T cells compared to effector CD8 T cells at contraction phase (day 15 after LCMV-Armstrong infection).","DESCRIPTION_FULL":"How and when memory T cells form during an immune response are long-standing questions. To better understand memory CD8 T cell development, a time course of gene expression and functional changes in antigen-specific T cells during viral infection was evaluated. The expression of many genes continued to change after viral clearance in accordance with changes in CD8 T cell functional properties. Even though memory cell precursors were present at the peak of the immune response, these cells did not display hallmark functional traits of memory T cells. However, these cells gradually acquired the memory cell qualities of self-renewal and rapid recall to antigen suggesting the model that antigen-specific CD8 T cells progressively differentiate into memory cells following viral infection."}
{"STANDARD_NAME":"KAECH_NAIVE_VS_MEMORY_CD8_TCELL_UP","SYSTEMATIC_NAME":"M3020","ORGANISM":"Mus musculus","PMID":"12526810","AUTHORS":"Kaech SM,Hemby S,Kersh E,Ahmed R.","EXACT_SOURCE":"GSE1000001_1576_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in naïve CD8 T cells compared to memory CD8 T cells (day 40+ after LCMV-Armstrong infection).","DESCRIPTION_FULL":"How and when memory T cells form during an immune response are long-standing questions. To better understand memory CD8 T cell development, a time course of gene expression and functional changes in antigen-specific T cells during viral infection was evaluated. The expression of many genes continued to change after viral clearance in accordance with changes in CD8 T cell functional properties. Even though memory cell precursors were present at the peak of the immune response, these cells did not display hallmark functional traits of memory T cells. However, these cells gradually acquired the memory cell qualities of self-renewal and rapid recall to antigen suggesting the model that antigen-specific CD8 T cells progressively differentiate into memory cells following viral infection."}
{"STANDARD_NAME":"KAECH_NAIVE_VS_MEMORY_CD8_TCELL_DN","SYSTEMATIC_NAME":"M3022","ORGANISM":"Mus musculus","PMID":"12526810","AUTHORS":"Kaech SM,Hemby S,Kersh E,Ahmed R.","EXACT_SOURCE":"GSE1000001_1576_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in naïve CD8 T cells compared to memory CD8 T cells (day 40+ after LCMV-Armstrong infection).","DESCRIPTION_FULL":"How and when memory T cells form during an immune response are long-standing questions. To better understand memory CD8 T cell development, a time course of gene expression and functional changes in antigen-specific T cells during viral infection was evaluated. The expression of many genes continued to change after viral clearance in accordance with changes in CD8 T cell functional properties. Even though memory cell precursors were present at the peak of the immune response, these cells did not display hallmark functional traits of memory T cells. However, these cells gradually acquired the memory cell qualities of self-renewal and rapid recall to antigen suggesting the model that antigen-specific CD8 T cells progressively differentiate into memory cells following viral infection."}
{"STANDARD_NAME":"KAECH_DAY8_EFF_VS_DAY15_EFF_CD8_TCELL_UP","SYSTEMATIC_NAME":"M3023","ORGANISM":"Mus musculus","PMID":"12526810","AUTHORS":"Kaech SM,Hemby S,Kersh E,Ahmed R.","EXACT_SOURCE":"GSE1000001_1577_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in effector CD8 T cells at the peak expansion phase (day 8 after LCMV-Armstrong infection) compared to effector CD8 T cells at contraction phase (day 15 after LCMV-Armstrong infection).","DESCRIPTION_FULL":"How and when memory T cells form during an immune response are long-standing questions. To better understand memory CD8 T cell development, a time course of gene expression and functional changes in antigen-specific T cells during viral infection was evaluated. The expression of many genes continued to change after viral clearance in accordance with changes in CD8 T cell functional properties. Even though memory cell precursors were present at the peak of the immune response, these cells did not display hallmark functional traits of memory T cells. However, these cells gradually acquired the memory cell qualities of self-renewal and rapid recall to antigen suggesting the model that antigen-specific CD8 T cells progressively differentiate into memory cells following viral infection."}
{"STANDARD_NAME":"KAECH_DAY8_EFF_VS_DAY15_EFF_CD8_TCELL_DN","SYSTEMATIC_NAME":"M3025","ORGANISM":"Mus musculus","PMID":"12526810","AUTHORS":"Kaech SM,Hemby S,Kersh E,Ahmed R.","EXACT_SOURCE":"GSE1000001_1577_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in effector CD8 T cells at the peak expansion phase (day 8 after LCMV-Armstrong infection) compared to effector CD8 T cells at contraction phase (day 15 after LCMV-Armstrong infection).","DESCRIPTION_FULL":"How and when memory T cells form during an immune response are long-standing questions. To better understand memory CD8 T cell development, a time course of gene expression and functional changes in antigen-specific T cells during viral infection was evaluated. The expression of many genes continued to change after viral clearance in accordance with changes in CD8 T cell functional properties. Even though memory cell precursors were present at the peak of the immune response, these cells did not display hallmark functional traits of memory T cells. However, these cells gradually acquired the memory cell qualities of self-renewal and rapid recall to antigen suggesting the model that antigen-specific CD8 T cells progressively differentiate into memory cells following viral infection."}
{"STANDARD_NAME":"KAECH_DAY8_EFF_VS_MEMORY_CD8_TCELL_UP","SYSTEMATIC_NAME":"M3027","ORGANISM":"Mus musculus","PMID":"12526810","AUTHORS":"Kaech SM,Hemby S,Kersh E,Ahmed R.","EXACT_SOURCE":"GSE1000001_1578_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in effector CD8 T cells at the peak expansion phase (day 8 after LCMV-Armstrong infection) compared to memory CD8 T cells (day 40+ after LCMV-Armstrong infection).","DESCRIPTION_FULL":"How and when memory T cells form during an immune response are long-standing questions. To better understand memory CD8 T cell development, a time course of gene expression and functional changes in antigen-specific T cells during viral infection was evaluated. The expression of many genes continued to change after viral clearance in accordance with changes in CD8 T cell functional properties. Even though memory cell precursors were present at the peak of the immune response, these cells did not display hallmark functional traits of memory T cells. However, these cells gradually acquired the memory cell qualities of self-renewal and rapid recall to antigen suggesting the model that antigen-specific CD8 T cells progressively differentiate into memory cells following viral infection."}
{"STANDARD_NAME":"KAECH_DAY8_EFF_VS_MEMORY_CD8_TCELL_DN","SYSTEMATIC_NAME":"M3028","ORGANISM":"Mus musculus","PMID":"12526810","AUTHORS":"Kaech SM,Hemby S,Kersh E,Ahmed R.","EXACT_SOURCE":"GSE1000001_1578_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in effector CD8 T cells at the peak expansion phase (day 8 after LCMV-Armstrong infection) compared to memory CD8 T cells (day 40+ after LCMV-Armstrong infection).","DESCRIPTION_FULL":"How and when memory T cells form during an immune response are long-standing questions. To better understand memory CD8 T cell development, a time course of gene expression and functional changes in antigen-specific T cells during viral infection was evaluated. The expression of many genes continued to change after viral clearance in accordance with changes in CD8 T cell functional properties. Even though memory cell precursors were present at the peak of the immune response, these cells did not display hallmark functional traits of memory T cells. However, these cells gradually acquired the memory cell qualities of self-renewal and rapid recall to antigen suggesting the model that antigen-specific CD8 T cells progressively differentiate into memory cells following viral infection."}
{"STANDARD_NAME":"KAECH_DAY15_EFF_VS_MEMORY_CD8_TCELL_UP","SYSTEMATIC_NAME":"M3030","ORGANISM":"Mus musculus","PMID":"12526810","AUTHORS":"Kaech SM,Hemby S,Kersh E,Ahmed R.","EXACT_SOURCE":"GSE1000001_1579_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in effector CD8 T cells at contraction phase (day 15 after LCMV-Armstrong infection) compared to memory CD8 T cells (day 40+ after LCMV-Armstrong infection).","DESCRIPTION_FULL":"How and when memory T cells form during an immune response are long-standing questions. To better understand memory CD8 T cell development, a time course of gene expression and functional changes in antigen-specific T cells during viral infection was evaluated. The expression of many genes continued to change after viral clearance in accordance with changes in CD8 T cell functional properties. Even though memory cell precursors were present at the peak of the immune response, these cells did not display hallmark functional traits of memory T cells. However, these cells gradually acquired the memory cell qualities of self-renewal and rapid recall to antigen suggesting the model that antigen-specific CD8 T cells progressively differentiate into memory cells following viral infection."}
{"STANDARD_NAME":"KAECH_DAY15_EFF_VS_MEMORY_CD8_TCELL_DN","SYSTEMATIC_NAME":"M3032","ORGANISM":"Mus musculus","PMID":"12526810","AUTHORS":"Kaech SM,Hemby S,Kersh E,Ahmed R.","EXACT_SOURCE":"GSE1000001_1579_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in effector CD8 T cells at contraction phase (day 15 after LCMV-Armstrong infection) compared to memory CD8 T cells (day 40+ after LCMV-Armstrong infection).","DESCRIPTION_FULL":"How and when memory T cells form during an immune response are long-standing questions. To better understand memory CD8 T cell development, a time course of gene expression and functional changes in antigen-specific T cells during viral infection was evaluated. The expression of many genes continued to change after viral clearance in accordance with changes in CD8 T cell functional properties. Even though memory cell precursors were present at the peak of the immune response, these cells did not display hallmark functional traits of memory T cells. However, these cells gradually acquired the memory cell qualities of self-renewal and rapid recall to antigen suggesting the model that antigen-specific CD8 T cells progressively differentiate into memory cells following viral infection."}
{"STANDARD_NAME":"GOLDRATH_NAIVE_VS_EFF_CD8_TCELL_UP","SYSTEMATIC_NAME":"M3035","ORGANISM":"Mus musculus","PMID":"16492737","AUTHORS":"Luckey CJ,Bhattacharya D,Goldrath AW,Weissman IL,Benoist C,Mathis D.","EXACT_SOURCE":"GSE1000002_1580_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naïve CD8 T cells versus effector CD8 T cells.","DESCRIPTION_FULL":"The only cells of the hematopoietic system that undergo self-renewal for the lifetime of the organism are long-term hematopoietic stem cells and memory T and B cells. To determine whether there is a shared transcriptional program among these self-renewing populations, we first compared the gene-expression profiles of naïve, effector and memory CD8(+) T cells with those of long-term hematopoietic stem cells, short-term hematopoietic stem cells, and lineage-committed progenitors. Transcripts augmented in memory CD8(+) T cells relative to naïve and effector T cells were selectively enriched in long-term hematopoietic stem cells and were progressively lost in their short-term and lineage-committed counterparts. Furthermore, transcripts selectively decreased in memory CD8(+) T cells were selectively down-regulated in long-term hematopoietic stem cells and progressively increased with differentiation. To confirm that this pattern was a general property of immunologic memory, we turned to independently generated gene expression profiles of memory, naïve, germinal center, and plasma B cells. Once again, memory-enriched and -depleted transcripts were also appropriately augmented and diminished in long-term hematopoietic stem cells, and their expression correlated with progressive loss of self-renewal function. Thus, there appears to be a common signature of both up- and down-regulated transcripts shared between memory T cells, memory B cells, and long-term hematopoietic stem cells. This signature was not consistently enriched in neural or embryonic stem cell populations and, therefore, appears to be restricted to the hematopoeitic system. These observations provide evidence that the shared phenotype of self-renewal in the hematopoietic system is linked at the molecular level."}
{"STANDARD_NAME":"GOLDRATH_NAIVE_VS_EFF_CD8_TCELL_DN","SYSTEMATIC_NAME":"M3036","ORGANISM":"Mus musculus","PMID":"16492737","AUTHORS":"Luckey CJ,Bhattacharya D,Goldrath AW,Weissman IL,Benoist C,Mathis D.","EXACT_SOURCE":"GSE1000002_1580_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naïve CD8 T cells versus effector CD8 T cells.","DESCRIPTION_FULL":"The only cells of the hematopoietic system that undergo self-renewal for the lifetime of the organism are long-term hematopoietic stem cells and memory T and B cells. To determine whether there is a shared transcriptional program among these self-renewing populations, we first compared the gene-expression profiles of naïve, effector and memory CD8(+) T cells with those of long-term hematopoietic stem cells, short-term hematopoietic stem cells, and lineage-committed progenitors. Transcripts augmented in memory CD8(+) T cells relative to naïve and effector T cells were selectively enriched in long-term hematopoietic stem cells and were progressively lost in their short-term and lineage-committed counterparts. Furthermore, transcripts selectively decreased in memory CD8(+) T cells were selectively down-regulated in long-term hematopoietic stem cells and progressively increased with differentiation. To confirm that this pattern was a general property of immunologic memory, we turned to independently generated gene expression profiles of memory, naïve, germinal center, and plasma B cells. Once again, memory-enriched and -depleted transcripts were also appropriately augmented and diminished in long-term hematopoietic stem cells, and their expression correlated with progressive loss of self-renewal function. Thus, there appears to be a common signature of both up- and down-regulated transcripts shared between memory T cells, memory B cells, and long-term hematopoietic stem cells. This signature was not consistently enriched in neural or embryonic stem cell populations and, therefore, appears to be restricted to the hematopoeitic system. These observations provide evidence that the shared phenotype of self-renewal in the hematopoietic system is linked at the molecular level."}
{"STANDARD_NAME":"GOLDRATH_NAIVE_VS_MEMORY_CD8_TCELL_UP","SYSTEMATIC_NAME":"M3038","ORGANISM":"Mus musculus","PMID":"16492737","AUTHORS":"Luckey CJ,Bhattacharya D,Goldrath AW,Weissman IL,Benoist C,Mathis D.","EXACT_SOURCE":"GSE1000002_1581_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive CD8 T cells versus memory CD8 T cells.","DESCRIPTION_FULL":"The only cells of the hematopoietic system that undergo self-renewal for the lifetime of the organism are long-term hematopoietic stem cells and memory T and B cells. To determine whether there is a shared transcriptional program among these self-renewing populations, we first compared the gene-expression profiles of naïve, effector and memory CD8(+) T cells with those of long-term hematopoietic stem cells, short-term hematopoietic stem cells, and lineage-committed progenitors. Transcripts augmented in memory CD8(+) T cells relative to naïve and effector T cells were selectively enriched in long-term hematopoietic stem cells and were progressively lost in their short-term and lineage-committed counterparts. Furthermore, transcripts selectively decreased in memory CD8(+) T cells were selectively down-regulated in long-term hematopoietic stem cells and progressively increased with differentiation. To confirm that this pattern was a general property of immunologic memory, we turned to independently generated gene expression profiles of memory, naïve, germinal center, and plasma B cells. Once again, memory-enriched and -depleted transcripts were also appropriately augmented and diminished in long-term hematopoietic stem cells, and their expression correlated with progressive loss of self-renewal function. Thus, there appears to be a common signature of both up- and down-regulated transcripts shared between memory T cells, memory B cells, and long-term hematopoietic stem cells. This signature was not consistently enriched in neural or embryonic stem cell populations and, therefore, appears to be restricted to the hematopoeitic system. These observations provide evidence that the shared phenotype of self-renewal in the hematopoietic system is linked at the molecular level."}
{"STANDARD_NAME":"GOLDRATH_NAIVE_VS_MEMORY_CD8_TCELL_DN","SYSTEMATIC_NAME":"M3039","ORGANISM":"Mus musculus","PMID":"16492737","AUTHORS":"Luckey CJ,Bhattacharya D,Goldrath AW,Weissman IL,Benoist C,Mathis D.","EXACT_SOURCE":"GSE1000002_1581_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive CD8 T cells versus memory CD8 T cells.","DESCRIPTION_FULL":"The only cells of the hematopoietic system that undergo self-renewal for the lifetime of the organism are long-term hematopoietic stem cells and memory T and B cells. To determine whether there is a shared transcriptional program among these self-renewing populations, we first compared the gene-expression profiles of naïve, effector and memory CD8(+) T cells with those of long-term hematopoietic stem cells, short-term hematopoietic stem cells, and lineage-committed progenitors. Transcripts augmented in memory CD8(+) T cells relative to naïve and effector T cells were selectively enriched in long-term hematopoietic stem cells and were progressively lost in their short-term and lineage-committed counterparts. Furthermore, transcripts selectively decreased in memory CD8(+) T cells were selectively down-regulated in long-term hematopoietic stem cells and progressively increased with differentiation. To confirm that this pattern was a general property of immunologic memory, we turned to independently generated gene expression profiles of memory, naïve, germinal center, and plasma B cells. Once again, memory-enriched and -depleted transcripts were also appropriately augmented and diminished in long-term hematopoietic stem cells, and their expression correlated with progressive loss of self-renewal function. Thus, there appears to be a common signature of both up- and down-regulated transcripts shared between memory T cells, memory B cells, and long-term hematopoietic stem cells. This signature was not consistently enriched in neural or embryonic stem cell populations and, therefore, appears to be restricted to the hematopoeitic system. These observations provide evidence that the shared phenotype of self-renewal in the hematopoietic system is linked at the molecular level."}
{"STANDARD_NAME":"GOLDRATH_EFF_VS_MEMORY_CD8_TCELL_UP","SYSTEMATIC_NAME":"M3041","ORGANISM":"Mus musculus","PMID":"16492737","AUTHORS":"Luckey CJ,Bhattacharya D,Goldrath AW,Weissman IL,Benoist C,Mathis D.","EXACT_SOURCE":"GSE1000002_1582_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of effector CD8 T cells versus memory CD8 T cells.","DESCRIPTION_FULL":"The only cells of the hematopoietic system that undergo self-renewal for the lifetime of the organism are long-term hematopoietic stem cells and memory T and B cells. To determine whether there is a shared transcriptional program among these self-renewing populations, we first compared the gene-expression profiles of naïve, effector and memory CD8(+) T cells with those of long-term hematopoietic stem cells, short-term hematopoietic stem cells, and lineage-committed progenitors. Transcripts augmented in memory CD8(+) T cells relative to naïve and effector T cells were selectively enriched in long-term hematopoietic stem cells and were progressively lost in their short-term and lineage-committed counterparts. Furthermore, transcripts selectively decreased in memory CD8(+) T cells were selectively down-regulated in long-term hematopoietic stem cells and progressively increased with differentiation. To confirm that this pattern was a general property of immunologic memory, we turned to independently generated gene expression profiles of memory, naïve, germinal center, and plasma B cells. Once again, memory-enriched and -depleted transcripts were also appropriately augmented and diminished in long-term hematopoietic stem cells, and their expression correlated with progressive loss of self-renewal function. Thus, there appears to be a common signature of both up- and down-regulated transcripts shared between memory T cells, memory B cells, and long-term hematopoietic stem cells. This signature was not consistently enriched in neural or embryonic stem cell populations and, therefore, appears to be restricted to the hematopoeitic system. These observations provide evidence that the shared phenotype of self-renewal in the hematopoietic system is linked at the molecular level."}
{"STANDARD_NAME":"GOLDRATH_EFF_VS_MEMORY_CD8_TCELL_DN","SYSTEMATIC_NAME":"M3044","ORGANISM":"Mus musculus","PMID":"16492737","AUTHORS":"Luckey CJ,Bhattacharya D,Goldrath AW,Weissman IL,Benoist C,Mathis D.","EXACT_SOURCE":"GSE1000002_1582_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of effector CD8 T cells versus memory CD8 T cells.","DESCRIPTION_FULL":"The only cells of the hematopoietic system that undergo self-renewal for the lifetime of the organism are long-term hematopoietic stem cells and memory T and B cells. To determine whether there is a shared transcriptional program among these self-renewing populations, we first compared the gene-expression profiles of naïve, effector and memory CD8(+) T cells with those of long-term hematopoietic stem cells, short-term hematopoietic stem cells, and lineage-committed progenitors. Transcripts augmented in memory CD8(+) T cells relative to naïve and effector T cells were selectively enriched in long-term hematopoietic stem cells and were progressively lost in their short-term and lineage-committed counterparts. Furthermore, transcripts selectively decreased in memory CD8(+) T cells were selectively down-regulated in long-term hematopoietic stem cells and progressively increased with differentiation. To confirm that this pattern was a general property of immunologic memory, we turned to independently generated gene expression profiles of memory, naïve, germinal center, and plasma B cells. Once again, memory-enriched and -depleted transcripts were also appropriately augmented and diminished in long-term hematopoietic stem cells, and their expression correlated with progressive loss of self-renewal function. Thus, there appears to be a common signature of both up- and down-regulated transcripts shared between memory T cells, memory B cells, and long-term hematopoietic stem cells. This signature was not consistently enriched in neural or embryonic stem cell populations and, therefore, appears to be restricted to the hematopoeitic system. These observations provide evidence that the shared phenotype of self-renewal in the hematopoietic system is linked at the molecular level."}
{"STANDARD_NAME":"GSE10094_LCMV_VS_LISTERIA_IND_EFF_CD4_TCELL_UP","SYSTEMATIC_NAME":"M3046","ORGANISM":"Mus musculus","PMID":"18356084","AUTHORS":"Williams MA,Ravkov EV,Bevan MJ","GEOID":"GSE10094","EXACT_SOURCE":"GSE10094_1068_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD4 [GeneID=920] T cells from mice challenged with LCMV versus those challenged with Listeria-gp61.","DESCRIPTION_FULL":"Following infection with LCMV, CD4+ SMARTA TCR transgenic cells (specific for the gp61-80 epitope of the LCMV glycoprotein) rapidly expand, become effector cells, and go on to form a long-lived memory population. Following infection with a recombinant Listeria monocytogenes expressing the LCMV epitope gp61-80, SMARTA cells also expand but display defective effector differentiation and fail to form memory. In an attempt to understand the signals required for CD4 T cell memory differentiation, we compared gene expression by SMARTA cells at the peak of the primary response following either Lm-gp61 or LCMV infection."}
{"STANDARD_NAME":"GSE10094_LCMV_VS_LISTERIA_IND_EFF_CD4_TCELL_DN","SYSTEMATIC_NAME":"M3047","ORGANISM":"Mus musculus","PMID":"18356084","AUTHORS":"Williams MA,Ravkov EV,Bevan MJ","GEOID":"GSE10094","EXACT_SOURCE":"GSE10094_1068_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD4 [GeneID=920] T cells from mice challenged with LCMV versus those challenged with Listeria-gp61.","DESCRIPTION_FULL":"Following infection with LCMV, CD4+ SMARTA TCR transgenic cells (specific for the gp61-80 epitope of the LCMV glycoprotein) rapidly expand, become effector cells, and go on to form a long-lived memory population. Following infection with a recombinant Listeria monocytogenes expressing the LCMV epitope gp61-80, SMARTA cells also expand but display defective effector differentiation and fail to form memory. In an attempt to understand the signals required for CD4 T cell memory differentiation, we compared gene expression by SMARTA cells at the peak of the primary response following either Lm-gp61 or LCMV infection."}
{"STANDARD_NAME":"GSE10239_NAIVE_VS_MEMORY_CD8_TCELL_UP","SYSTEMATIC_NAME":"M3048","ORGANISM":"Mus musculus","PMID":"18316415","AUTHORS":"Sarkar S,Kalia V,Haining WN,Konieczny BT","GEOID":"GSE10239","EXACT_SOURCE":"GSE10239_1247_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive CD8 T cells versus memory CD8 T cells.","DESCRIPTION_FULL":"Using killer cell lectin-like receptor G1 as a marker to distinguish terminal effector cells from memory precursors, we found that despite their diverse cell fates both subsets possessed remarkably similar gene expression profiles and functioned as equally potent killer cells. However, only the memory precursors were capable of making IL-2 thus defining a novel effector cell that was cytotoxic, expressed granzyme B, and produced inflammatory cytokines in addition to IL-2. This effector population then differentiated into long-lived protective memory T cells capable of self-renewal and rapid re-call responses. Mechanistic studies showed that cells that continued to receive antigenic stimulation during the later stages of infection were more likely to become terminal effectors. Importantly, curtailing antigenic stimulation towards the tail-end of the acute infection enhanced the generation of memory cells. These studies support the decreasing potential model of memory differentiation and show that the duration of antigenic stimulation is a critical regulator of memory formation"}
{"STANDARD_NAME":"GSE10239_NAIVE_VS_MEMORY_CD8_TCELL_DN","SYSTEMATIC_NAME":"M3049","ORGANISM":"Mus musculus","PMID":"18316415","AUTHORS":"Sarkar S,Kalia V,Haining WN,Konieczny BT","GEOID":"GSE10239","EXACT_SOURCE":"GSE10239_1247_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive CD8 T cells versus memory CD8 T cells.","DESCRIPTION_FULL":"Using killer cell lectin-like receptor G1 as a marker to distinguish terminal effector cells from memory precursors, we found that despite their diverse cell fates both subsets possessed remarkably similar gene expression profiles and functioned as equally potent killer cells. However, only the memory precursors were capable of making IL-2 thus defining a novel effector cell that was cytotoxic, expressed granzyme B, and produced inflammatory cytokines in addition to IL-2. This effector population then differentiated into long-lived protective memory T cells capable of self-renewal and rapid re-call responses. Mechanistic studies showed that cells that continued to receive antigenic stimulation during the later stages of infection were more likely to become terminal effectors. Importantly, curtailing antigenic stimulation towards the tail-end of the acute infection enhanced the generation of memory cells. These studies support the decreasing potential model of memory differentiation and show that the duration of antigenic stimulation is a critical regulator of memory formation"}
{"STANDARD_NAME":"GSE10239_NAIVE_VS_KLRG1INT_EFF_CD8_TCELL_UP","SYSTEMATIC_NAME":"M3050","ORGANISM":"Mus musculus","PMID":"18316415","AUTHORS":"Sarkar S,Kalia V,Haining WN,Konieczny BT","GEOID":"GSE10239","EXACT_SOURCE":"GSE10239_1248_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive CD8 T cells versus effector CD8 T cells KLRG1 Int [GeneID=10219].","DESCRIPTION_FULL":"Using killer cell lectin-like receptor G1 as a marker to distinguish terminal effector cells from memory precursors, we found that despite their diverse cell fates both subsets possessed remarkably similar gene expression profiles and functioned as equally potent killer cells. However, only the memory precursors were capable of making IL-2 thus defining a novel effector cell that was cytotoxic, expressed granzyme B, and produced inflammatory cytokines in addition to IL-2. This effector population then differentiated into long-lived protective memory T cells capable of self-renewal and rapid re-call responses. Mechanistic studies showed that cells that continued to receive antigenic stimulation during the later stages of infection were more likely to become terminal effectors. Importantly, curtailing antigenic stimulation towards the tail-end of the acute infection enhanced the generation of memory cells. These studies support the decreasing potential model of memory differentiation and show that the duration of antigenic stimulation is a critical regulator of memory formation"}
{"STANDARD_NAME":"GSE10239_NAIVE_VS_KLRG1INT_EFF_CD8_TCELL_DN","SYSTEMATIC_NAME":"M3051","ORGANISM":"Mus musculus","PMID":"18316415","AUTHORS":"Sarkar S,Kalia V,Haining WN,Konieczny BT","GEOID":"GSE10239","EXACT_SOURCE":"GSE10239_1248_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive CD8 T cells versus effector CD8 T cells KLRG1 Int [GeneID=10219].","DESCRIPTION_FULL":"Using killer cell lectin-like receptor G1 as a marker to distinguish terminal effector cells from memory precursors, we found that despite their diverse cell fates both subsets possessed remarkably similar gene expression profiles and functioned as equally potent killer cells. However, only the memory precursors were capable of making IL-2 thus defining a novel effector cell that was cytotoxic, expressed granzyme B, and produced inflammatory cytokines in addition to IL-2. This effector population then differentiated into long-lived protective memory T cells capable of self-renewal and rapid re-call responses. Mechanistic studies showed that cells that continued to receive antigenic stimulation during the later stages of infection were more likely to become terminal effectors. Importantly, curtailing antigenic stimulation towards the tail-end of the acute infection enhanced the generation of memory cells. These studies support the decreasing potential model of memory differentiation and show that the duration of antigenic stimulation is a critical regulator of memory formation"}
{"STANDARD_NAME":"GSE10239_NAIVE_VS_KLRG1HIGH_EFF_CD8_TCELL_UP","SYSTEMATIC_NAME":"M3052","ORGANISM":"Mus musculus","PMID":"18316415","AUTHORS":"Sarkar S,Kalia V,Haining WN,Konieczny BT","GEOID":"GSE10239","EXACT_SOURCE":"GSE10239_1249_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive CD8 T cells versus effector CD8 T cells KLRG1 high [GeneID=10219].","DESCRIPTION_FULL":"Using killer cell lectin-like receptor G1 as a marker to distinguish terminal effector cells from memory precursors, we found that despite their diverse cell fates both subsets possessed remarkably similar gene expression profiles and functioned as equally potent killer cells. However, only the memory precursors were capable of making IL-2 thus defining a novel effector cell that was cytotoxic, expressed granzyme B, and produced inflammatory cytokines in addition to IL-2. This effector population then differentiated into long-lived protective memory T cells capable of self-renewal and rapid re-call responses. Mechanistic studies showed that cells that continued to receive antigenic stimulation during the later stages of infection were more likely to become terminal effectors. Importantly, curtailing antigenic stimulation towards the tail-end of the acute infection enhanced the generation of memory cells. These studies support the decreasing potential model of memory differentiation and show that the duration of antigenic stimulation is a critical regulator of memory formation"}
{"STANDARD_NAME":"GSE10239_NAIVE_VS_KLRG1HIGH_EFF_CD8_TCELL_DN","SYSTEMATIC_NAME":"M3054","ORGANISM":"Mus musculus","PMID":"18316415","AUTHORS":"Sarkar S,Kalia V,Haining WN,Konieczny BT","GEOID":"GSE10239","EXACT_SOURCE":"GSE10239_1249_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive CD8 T cells versus effector CD8 T cells KLRG1 high [GeneID=10219].","DESCRIPTION_FULL":"Using killer cell lectin-like receptor G1 as a marker to distinguish terminal effector cells from memory precursors, we found that despite their diverse cell fates both subsets possessed remarkably similar gene expression profiles and functioned as equally potent killer cells. However, only the memory precursors were capable of making IL-2 thus defining a novel effector cell that was cytotoxic, expressed granzyme B, and produced inflammatory cytokines in addition to IL-2. This effector population then differentiated into long-lived protective memory T cells capable of self-renewal and rapid re-call responses. Mechanistic studies showed that cells that continued to receive antigenic stimulation during the later stages of infection were more likely to become terminal effectors. Importantly, curtailing antigenic stimulation towards the tail-end of the acute infection enhanced the generation of memory cells. These studies support the decreasing potential model of memory differentiation and show that the duration of antigenic stimulation is a critical regulator of memory formation"}
{"STANDARD_NAME":"GSE10239_MEMORY_VS_KLRG1INT_EFF_CD8_TCELL_UP","SYSTEMATIC_NAME":"M3055","ORGANISM":"Mus musculus","PMID":"18316415","AUTHORS":"Sarkar S,Kalia V,Haining WN,Konieczny BT","GEOID":"GSE10239","EXACT_SOURCE":"GSE10239_1250_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of memory CD8 T cells versus effector CD8 T cells KLRG1 intermediate [GeneID=10219].","DESCRIPTION_FULL":"Using killer cell lectin-like receptor G1 as a marker to distinguish terminal effector cells from memory precursors, we found that despite their diverse cell fates both subsets possessed remarkably similar gene expression profiles and functioned as equally potent killer cells. However, only the memory precursors were capable of making IL-2 thus defining a novel effector cell that was cytotoxic, expressed granzyme B, and produced inflammatory cytokines in addition to IL-2. This effector population then differentiated into long-lived protective memory T cells capable of self-renewal and rapid re-call responses. Mechanistic studies showed that cells that continued to receive antigenic stimulation during the later stages of infection were more likely to become terminal effectors. Importantly, curtailing antigenic stimulation towards the tail-end of the acute infection enhanced the generation of memory cells. These studies support the decreasing potential model of memory differentiation and show that the duration of antigenic stimulation is a critical regulator of memory formation"}
{"STANDARD_NAME":"GSE10239_MEMORY_VS_KLRG1INT_EFF_CD8_TCELL_DN","SYSTEMATIC_NAME":"M3059","ORGANISM":"Mus musculus","PMID":"18316415","AUTHORS":"Sarkar S,Kalia V,Haining WN,Konieczny BT","GEOID":"GSE10239","EXACT_SOURCE":"GSE10239_1250_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of memory CD8 T cells versus effector CD8 T cells KLRG1 intermediate [GeneID=10219].","DESCRIPTION_FULL":"Using killer cell lectin-like receptor G1 as a marker to distinguish terminal effector cells from memory precursors, we found that despite their diverse cell fates both subsets possessed remarkably similar gene expression profiles and functioned as equally potent killer cells. However, only the memory precursors were capable of making IL-2 thus defining a novel effector cell that was cytotoxic, expressed granzyme B, and produced inflammatory cytokines in addition to IL-2. This effector population then differentiated into long-lived protective memory T cells capable of self-renewal and rapid re-call responses. Mechanistic studies showed that cells that continued to receive antigenic stimulation during the later stages of infection were more likely to become terminal effectors. Importantly, curtailing antigenic stimulation towards the tail-end of the acute infection enhanced the generation of memory cells. These studies support the decreasing potential model of memory differentiation and show that the duration of antigenic stimulation is a critical regulator of memory formation"}
{"STANDARD_NAME":"GSE10239_MEMORY_VS_KLRG1HIGH_EFF_CD8_TCELL_UP","SYSTEMATIC_NAME":"M3060","ORGANISM":"Mus musculus","PMID":"18316415","AUTHORS":"Sarkar S,Kalia V,Haining WN,Konieczny BT","GEOID":"GSE10239","EXACT_SOURCE":"GSE10239_1251_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of memory CD8 T cells versus effector CD8 T cells KLRG1 high [GeneID=10219].","DESCRIPTION_FULL":"Using killer cell lectin-like receptor G1 as a marker to distinguish terminal effector cells from memory precursors, we found that despite their diverse cell fates both subsets possessed remarkably similar gene expression profiles and functioned as equally potent killer cells. However, only the memory precursors were capable of making IL-2 thus defining a novel effector cell that was cytotoxic, expressed granzyme B, and produced inflammatory cytokines in addition to IL-2. This effector population then differentiated into long-lived protective memory T cells capable of self-renewal and rapid re-call responses. Mechanistic studies showed that cells that continued to receive antigenic stimulation during the later stages of infection were more likely to become terminal effectors. Importantly, curtailing antigenic stimulation towards the tail-end of the acute infection enhanced the generation of memory cells. These studies support the decreasing potential model of memory differentiation and show that the duration of antigenic stimulation is a critical regulator of memory formation"}
{"STANDARD_NAME":"GSE10239_MEMORY_VS_KLRG1HIGH_EFF_CD8_TCELL_DN","SYSTEMATIC_NAME":"M3067","ORGANISM":"Mus musculus","PMID":"18316415","AUTHORS":"Sarkar S,Kalia V,Haining WN,Konieczny BT","GEOID":"GSE10239","EXACT_SOURCE":"GSE10239_1251_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of memory CD8 T cells versus effector CD8 T cells KLRG1 high [GeneID=10219].","DESCRIPTION_FULL":"Using killer cell lectin-like receptor G1 as a marker to distinguish terminal effector cells from memory precursors, we found that despite their diverse cell fates both subsets possessed remarkably similar gene expression profiles and functioned as equally potent killer cells. However, only the memory precursors were capable of making IL-2 thus defining a novel effector cell that was cytotoxic, expressed granzyme B, and produced inflammatory cytokines in addition to IL-2. This effector population then differentiated into long-lived protective memory T cells capable of self-renewal and rapid re-call responses. Mechanistic studies showed that cells that continued to receive antigenic stimulation during the later stages of infection were more likely to become terminal effectors. Importantly, curtailing antigenic stimulation towards the tail-end of the acute infection enhanced the generation of memory cells. These studies support the decreasing potential model of memory differentiation and show that the duration of antigenic stimulation is a critical regulator of memory formation"}
{"STANDARD_NAME":"GSE10239_KLRG1INT_VS_KLRG1HIGH_EFF_CD8_TCELL_UP","SYSTEMATIC_NAME":"M3068","ORGANISM":"Mus musculus","PMID":"18316415","AUTHORS":"Sarkar S,Kalia V,Haining WN,Konieczny BT","GEOID":"GSE10239","EXACT_SOURCE":"GSE10239_1252_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of effector CD8 T cells KRLG1 Int [GeneID=10219] vs those with KRLG1 Hi.","DESCRIPTION_FULL":"Using killer cell lectin-like receptor G1 as a marker to distinguish terminal effector cells from memory precursors, we found that despite their diverse cell fates both subsets possessed remarkably similar gene expression profiles and functioned as equally potent killer cells. However, only the memory precursors were capable of making IL-2 thus defining a novel effector cell that was cytotoxic, expressed granzyme B, and produced inflammatory cytokines in addition to IL-2. This effector population then differentiated into long-lived protective memory T cells capable of self-renewal and rapid re-call responses. Mechanistic studies showed that cells that continued to receive antigenic stimulation during the later stages of infection were more likely to become terminal effectors. Importantly, curtailing antigenic stimulation towards the tail-end of the acute infection enhanced the generation of memory cells. These studies support the decreasing potential model of memory differentiation and show that the duration of antigenic stimulation is a critical regulator of memory formation"}
{"STANDARD_NAME":"GSE10239_KLRG1INT_VS_KLRG1HIGH_EFF_CD8_TCELL_DN","SYSTEMATIC_NAME":"M3070","ORGANISM":"Mus musculus","PMID":"18316415","AUTHORS":"Sarkar S,Kalia V,Haining WN,Konieczny BT","GEOID":"GSE10239","EXACT_SOURCE":"GSE10239_1252_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of effector CD8 T cells KRLG1 Int [GeneID=10219] vs those with KRLG1 Hi.","DESCRIPTION_FULL":"Using killer cell lectin-like receptor G1 as a marker to distinguish terminal effector cells from memory precursors, we found that despite their diverse cell fates both subsets possessed remarkably similar gene expression profiles and functioned as equally potent killer cells. However, only the memory precursors were capable of making IL-2 thus defining a novel effector cell that was cytotoxic, expressed granzyme B, and produced inflammatory cytokines in addition to IL-2. This effector population then differentiated into long-lived protective memory T cells capable of self-renewal and rapid re-call responses. Mechanistic studies showed that cells that continued to receive antigenic stimulation during the later stages of infection were more likely to become terminal effectors. Importantly, curtailing antigenic stimulation towards the tail-end of the acute infection enhanced the generation of memory cells. These studies support the decreasing potential model of memory differentiation and show that the duration of antigenic stimulation is a critical regulator of memory formation"}
{"STANDARD_NAME":"GSE10239_NAIVE_VS_DAY4.5_EFF_CD8_TCELL_UP","SYSTEMATIC_NAME":"M3071","ORGANISM":"Mus musculus","PMID":"18316415","AUTHORS":"Sarkar S,Kalia V,Haining WN,Konieczny BT","GEOID":"GSE10239","EXACT_SOURCE":"GSE10239_1403_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive vs effector CD8 T cells (4-5 days postinfection).","DESCRIPTION_FULL":"Using killer cell lectin-like receptor G1 as a marker to distinguish terminal effector cells from memory precursors, we found that despite their diverse cell fates both subsets possessed remarkably similar gene expression profiles and functioned as equally potent killer cells. However, only the memory precursors were capable of making IL-2 thus defining a novel effector cell that was cytotoxic, expressed granzyme B, and produced inflammatory cytokines in addition to IL-2. This effector population then differentiated into long-lived protective memory T cells capable of self-renewal and rapid re-call responses. Mechanistic studies showed that cells that continued to receive antigenic stimulation during the later stages of infection were more likely to become terminal effectors. Importantly, curtailing antigenic stimulation towards the tail-end of the acute infection enhanced the generation of memory cells. These studies support the decreasing potential model of memory differentiation and show that the duration of antigenic stimulation is a critical regulator of memory formation"}
{"STANDARD_NAME":"GSE10239_NAIVE_VS_DAY4.5_EFF_CD8_TCELL_DN","SYSTEMATIC_NAME":"M3072","ORGANISM":"Mus musculus","PMID":"18316415","AUTHORS":"Sarkar S,Kalia V,Haining WN,Konieczny BT","GEOID":"GSE10239","EXACT_SOURCE":"GSE10239_1403_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive vs effector CD8 T cells (4-5 days postinfection).","DESCRIPTION_FULL":"Using killer cell lectin-like receptor G1 as a marker to distinguish terminal effector cells from memory precursors, we found that despite their diverse cell fates both subsets possessed remarkably similar gene expression profiles and functioned as equally potent killer cells. However, only the memory precursors were capable of making IL-2 thus defining a novel effector cell that was cytotoxic, expressed granzyme B, and produced inflammatory cytokines in addition to IL-2. This effector population then differentiated into long-lived protective memory T cells capable of self-renewal and rapid re-call responses. Mechanistic studies showed that cells that continued to receive antigenic stimulation during the later stages of infection were more likely to become terminal effectors. Importantly, curtailing antigenic stimulation towards the tail-end of the acute infection enhanced the generation of memory cells. These studies support the decreasing potential model of memory differentiation and show that the duration of antigenic stimulation is a critical regulator of memory formation"}
{"STANDARD_NAME":"GSE10239_MEMORY_VS_DAY4.5_EFF_CD8_TCELL_UP","SYSTEMATIC_NAME":"M3073","ORGANISM":"Mus musculus","PMID":"18316415","AUTHORS":"Sarkar S,Kalia V,Haining WN,Konieczny BT","GEOID":"GSE10239","EXACT_SOURCE":"GSE10239_1404_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of memory CD8 T cells versus effector CD8 T cells.","DESCRIPTION_FULL":"Using killer cell lectin-like receptor G1 as a marker to distinguish terminal effector cells from memory precursors, we found that despite their diverse cell fates both subsets possessed remarkably similar gene expression profiles and functioned as equally potent killer cells. However, only the memory precursors were capable of making IL-2 thus defining a novel effector cell that was cytotoxic, expressed granzyme B, and produced inflammatory cytokines in addition to IL-2. This effector population then differentiated into long-lived protective memory T cells capable of self-renewal and rapid re-call responses. Mechanistic studies showed that cells that continued to receive antigenic stimulation during the later stages of infection were more likely to become terminal effectors. Importantly, curtailing antigenic stimulation towards the tail-end of the acute infection enhanced the generation of memory cells. These studies support the decreasing potential model of memory differentiation and show that the duration of antigenic stimulation is a critical regulator of memory formation"}
{"STANDARD_NAME":"GSE10239_MEMORY_VS_DAY4.5_EFF_CD8_TCELL_DN","SYSTEMATIC_NAME":"M3074","ORGANISM":"Mus musculus","PMID":"18316415","AUTHORS":"Sarkar S,Kalia V,Haining WN,Konieczny BT","GEOID":"GSE10239","EXACT_SOURCE":"GSE10239_1404_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of memory CD8 T cells versus effector CD8 T cells.","DESCRIPTION_FULL":"Using killer cell lectin-like receptor G1 as a marker to distinguish terminal effector cells from memory precursors, we found that despite their diverse cell fates both subsets possessed remarkably similar gene expression profiles and functioned as equally potent killer cells. However, only the memory precursors were capable of making IL-2 thus defining a novel effector cell that was cytotoxic, expressed granzyme B, and produced inflammatory cytokines in addition to IL-2. This effector population then differentiated into long-lived protective memory T cells capable of self-renewal and rapid re-call responses. Mechanistic studies showed that cells that continued to receive antigenic stimulation during the later stages of infection were more likely to become terminal effectors. Importantly, curtailing antigenic stimulation towards the tail-end of the acute infection enhanced the generation of memory cells. These studies support the decreasing potential model of memory differentiation and show that the duration of antigenic stimulation is a critical regulator of memory formation"}
{"STANDARD_NAME":"GSE10325_CD4_TCELL_VS_BCELL_UP","SYSTEMATIC_NAME":"M3076","ORGANISM":"Homo sapiens","PMID":"18275831","AUTHORS":"Hutcheson J,Scatizzi JC,Siddiqui AM,Haines GK 3rd,Wu T,Li QZ,Davis LS,Mohan C,Perlman H","GEOID":"GSE10325","EXACT_SOURCE":"GSE10325_1069_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of healthy CD4 [GeneID=920] T cells versus healthy CD19 [GeneID=920] B cells. ","DESCRIPTION_FULL":"Gene expression profile studies have identified an interferon signature in whole blood or mononuclear cell samples from patients with systemic lupus erythematosus. This study was designed to determine whether specific lymphocyte and myeloid subsets freshly isolated from the blood of systemic lupus erythematosus patients demonstrated unique gene expression profiles compared to subsets isolated from healthy controls."}
{"STANDARD_NAME":"GSE10325_CD4_TCELL_VS_BCELL_DN","SYSTEMATIC_NAME":"M3077","ORGANISM":"Homo sapiens","PMID":"18275831","AUTHORS":"Hutcheson J,Scatizzi JC,Siddiqui AM,Haines GK 3rd,Wu T,Li QZ,Davis LS,Mohan C,Perlman H","GEOID":"GSE10325","EXACT_SOURCE":"GSE10325_1069_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of healthy CD4 [GeneID=920] T cells versus healthy CD19 [GeneID=920] B cells. ","DESCRIPTION_FULL":"Gene expression profile studies have identified an interferon signature in whole blood or mononuclear cell samples from patients with systemic lupus erythematosus. This study was designed to determine whether specific lymphocyte and myeloid subsets freshly isolated from the blood of systemic lupus erythematosus patients demonstrated unique gene expression profiles compared to subsets isolated from healthy controls."}
{"STANDARD_NAME":"GSE10325_CD4_TCELL_VS_MYELOID_UP","SYSTEMATIC_NAME":"M3078","ORGANISM":"Homo sapiens","PMID":"18275831","AUTHORS":"Hutcheson J,Scatizzi JC,Siddiqui AM,Haines GK 3rd,Wu T,Li QZ,Davis LS,Mohan C,Perlman H","GEOID":"GSE10325","EXACT_SOURCE":"GSE10325_1070_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of healthy CD4 [GeneID=920] T cells versus healthy myeloid cells.","DESCRIPTION_FULL":"Gene expression profile studies have identified an interferon signature in whole blood or mononuclear cell samples from patients with systemic lupus erythematosus. This study was designed to determine whether specific lymphocyte and myeloid subsets freshly isolated from the blood of systemic lupus erythematosus patients demonstrated unique gene expression profiles compared to subsets isolated from healthy controls."}
{"STANDARD_NAME":"GSE10325_CD4_TCELL_VS_MYELOID_DN","SYSTEMATIC_NAME":"M3079","ORGANISM":"Homo sapiens","PMID":"18275831","AUTHORS":"Hutcheson J,Scatizzi JC,Siddiqui AM,Haines GK 3rd,Wu T,Li QZ,Davis LS,Mohan C,Perlman H","GEOID":"GSE10325","EXACT_SOURCE":"GSE10325_1070_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of healthy CD4 [GeneID=920] T cells versus healthy myeloid cells.","DESCRIPTION_FULL":"Gene expression profile studies have identified an interferon signature in whole blood or mononuclear cell samples from patients with systemic lupus erythematosus. This study was designed to determine whether specific lymphocyte and myeloid subsets freshly isolated from the blood of systemic lupus erythematosus patients demonstrated unique gene expression profiles compared to subsets isolated from healthy controls."}
{"STANDARD_NAME":"GSE10325_BCELL_VS_MYELOID_UP","SYSTEMATIC_NAME":"M3081","ORGANISM":"Homo sapiens","PMID":"18275831","AUTHORS":"Hutcheson J,Scatizzi JC,Siddiqui AM,Haines GK 3rd,Wu T,Li QZ,Davis LS,Mohan C,Perlman H","GEOID":"GSE10325","EXACT_SOURCE":"GSE10325_1071_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of healthy B cells versus healthy myeloid cells.","DESCRIPTION_FULL":"Gene expression profile studies have identified an interferon signature in whole blood or mononuclear cell samples from patients with systemic lupus erythematosus. This study was designed to determine whether specific lymphocyte and myeloid subsets freshly isolated from the blood of systemic lupus erythematosus patients demonstrated unique gene expression profiles compared to subsets isolated from healthy controls."}
{"STANDARD_NAME":"GSE10325_BCELL_VS_MYELOID_DN","SYSTEMATIC_NAME":"M3082","ORGANISM":"Homo sapiens","PMID":"18275831","AUTHORS":"Hutcheson J,Scatizzi JC,Siddiqui AM,Haines GK 3rd,Wu T,Li QZ,Davis LS,Mohan C,Perlman H","GEOID":"GSE10325","EXACT_SOURCE":"GSE10325_1071_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of healthy B cells versus healthy myeloid cells.","DESCRIPTION_FULL":"Gene expression profile studies have identified an interferon signature in whole blood or mononuclear cell samples from patients with systemic lupus erythematosus. This study was designed to determine whether specific lymphocyte and myeloid subsets freshly isolated from the blood of systemic lupus erythematosus patients demonstrated unique gene expression profiles compared to subsets isolated from healthy controls."}
{"STANDARD_NAME":"GSE10325_LUPUS_CD4_TCELL_VS_LUPUS_BCELL_UP","SYSTEMATIC_NAME":"M3084","ORGANISM":"Homo sapiens","PMID":"18275831","AUTHORS":"Hutcheson J,Scatizzi JC,Siddiqui AM,Haines GK 3rd,Wu T,Li QZ,Davis LS,Mohan C,Perlman H","GEOID":"GSE10325","EXACT_SOURCE":"GSE10325_1072_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of systemic lupus erythematosus CD4 [GeneID=920] T cells versus systemic lupus erythematosus B cells.","DESCRIPTION_FULL":"Gene expression profile studies have identified an interferon signature in whole blood or mononuclear cell samples from patients with systemic lupus erythematosus. This study was designed to determine whether specific lymphocyte and myeloid subsets freshly isolated from the blood of systemic lupus erythematosus patients demonstrated unique gene expression profiles compared to subsets isolated from healthy controls."}
{"STANDARD_NAME":"GSE10325_LUPUS_CD4_TCELL_VS_LUPUS_BCELL_DN","SYSTEMATIC_NAME":"M3085","ORGANISM":"Homo sapiens","PMID":"18275831","AUTHORS":"Hutcheson J,Scatizzi JC,Siddiqui AM,Haines GK 3rd,Wu T,Li QZ,Davis LS,Mohan C,Perlman H","GEOID":"GSE10325","EXACT_SOURCE":"GSE10325_1072_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of systemic lupus erythematosus CD4 [GeneID=920] T cells versus systemic lupus erythematosus B cells.","DESCRIPTION_FULL":"Gene expression profile studies have identified an interferon signature in whole blood or mononuclear cell samples from patients with systemic lupus erythematosus. This study was designed to determine whether specific lymphocyte and myeloid subsets freshly isolated from the blood of systemic lupus erythematosus patients demonstrated unique gene expression profiles compared to subsets isolated from healthy controls."}
{"STANDARD_NAME":"GSE10325_LUPUS_CD4_TCELL_VS_LUPUS_MYELOID_UP","SYSTEMATIC_NAME":"M3087","ORGANISM":"Homo sapiens","PMID":"18275831","AUTHORS":"Hutcheson J,Scatizzi JC,Siddiqui AM,Haines GK 3rd,Wu T,Li QZ,Davis LS,Mohan C,Perlman H","GEOID":"GSE10325","EXACT_SOURCE":"GSE10325_1073_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of systemic lupus erythematosus CD4 [GeneID=920] T cells versus systemic lupus erythematosus myeloid cells.","DESCRIPTION_FULL":"Gene expression profile studies have identified an interferon signature in whole blood or mononuclear cell samples from patients with systemic lupus erythematosus. This study was designed to determine whether specific lymphocyte and myeloid subsets freshly isolated from the blood of systemic lupus erythematosus patients demonstrated unique gene expression profiles compared to subsets isolated from healthy controls."}
{"STANDARD_NAME":"GSE10325_LUPUS_CD4_TCELL_VS_LUPUS_MYELOID_DN","SYSTEMATIC_NAME":"M3088","ORGANISM":"Homo sapiens","PMID":"18275831","AUTHORS":"Hutcheson J,Scatizzi JC,Siddiqui AM,Haines GK 3rd,Wu T,Li QZ,Davis LS,Mohan C,Perlman H","GEOID":"GSE10325","EXACT_SOURCE":"GSE10325_1073_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of systemic lupus erythematosus CD4 [GeneID=920] T cells versus systemic lupus erythematosus myeloid cells.","DESCRIPTION_FULL":"Gene expression profile studies have identified an interferon signature in whole blood or mononuclear cell samples from patients with systemic lupus erythematosus. This study was designed to determine whether specific lymphocyte and myeloid subsets freshly isolated from the blood of systemic lupus erythematosus patients demonstrated unique gene expression profiles compared to subsets isolated from healthy controls."}
{"STANDARD_NAME":"GSE10325_LUPUS_BCELL_VS_LUPUS_MYELOID_UP","SYSTEMATIC_NAME":"M3089","ORGANISM":"Homo sapiens","PMID":"18275831","AUTHORS":"Hutcheson J,Scatizzi JC,Siddiqui AM,Haines GK 3rd,Wu T,Li QZ,Davis LS,Mohan C,Perlman H","GEOID":"GSE10325","EXACT_SOURCE":"GSE10325_1074_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of systemic lupus erythematosus B cells versus systemic lupus erythromatosus myeloid cells.","DESCRIPTION_FULL":"Gene expression profile studies have identified an interferon signature in whole blood or mononuclear cell samples from patients with systemic lupus erythematosus. This study was designed to determine whether specific lymphocyte and myeloid subsets freshly isolated from the blood of systemic lupus erythematosus patients demonstrated unique gene expression profiles compared to subsets isolated from healthy controls."}
{"STANDARD_NAME":"GSE10325_LUPUS_BCELL_VS_LUPUS_MYELOID_DN","SYSTEMATIC_NAME":"M3091","ORGANISM":"Homo sapiens","PMID":"18275831","AUTHORS":"Hutcheson J,Scatizzi JC,Siddiqui AM,Haines GK 3rd,Wu T,Li QZ,Davis LS,Mohan C,Perlman H","GEOID":"GSE10325","EXACT_SOURCE":"GSE10325_1074_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of systemic lupus erythematosus B cells versus systemic lupus erythromatosus myeloid cells.","DESCRIPTION_FULL":"Gene expression profile studies have identified an interferon signature in whole blood or mononuclear cell samples from patients with systemic lupus erythematosus. This study was designed to determine whether specific lymphocyte and myeloid subsets freshly isolated from the blood of systemic lupus erythematosus patients demonstrated unique gene expression profiles compared to subsets isolated from healthy controls."}
{"STANDARD_NAME":"GSE10325_CD4_TCELL_VS_LUPUS_CD4_TCELL_UP","SYSTEMATIC_NAME":"M3092","ORGANISM":"Homo sapiens","PMID":"18275831","AUTHORS":"Hutcheson J,Scatizzi JC,Siddiqui AM,Haines GK 3rd,Wu T,Li QZ,Davis LS,Mohan C,Perlman H","GEOID":"GSE10325","EXACT_SOURCE":"GSE10325_1075_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of healthy CD4 [GeneID=920] T cells versus systemic lupus erythematosus CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"Gene expression profile studies have identified an interferon signature in whole blood or mononuclear cell samples from patients with systemic lupus erythematosus. This study was designed to determine whether specific lymphocyte and myeloid subsets freshly isolated from the blood of systemic lupus erythematosus patients demonstrated unique gene expression profiles compared to subsets isolated from healthy controls."}
{"STANDARD_NAME":"GSE10325_CD4_TCELL_VS_LUPUS_CD4_TCELL_DN","SYSTEMATIC_NAME":"M3093","ORGANISM":"Homo sapiens","PMID":"18275831","AUTHORS":"Hutcheson J,Scatizzi JC,Siddiqui AM,Haines GK 3rd,Wu T,Li QZ,Davis LS,Mohan C,Perlman H","GEOID":"GSE10325","EXACT_SOURCE":"GSE10325_1075_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of healthy CD4 [GeneID=920] T cells versus systemic lupus erythematosus CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"Gene expression profile studies have identified an interferon signature in whole blood or mononuclear cell samples from patients with systemic lupus erythematosus. This study was designed to determine whether specific lymphocyte and myeloid subsets freshly isolated from the blood of systemic lupus erythematosus patients demonstrated unique gene expression profiles compared to subsets isolated from healthy controls."}
{"STANDARD_NAME":"GSE10325_BCELL_VS_LUPUS_BCELL_UP","SYSTEMATIC_NAME":"M3094","ORGANISM":"Homo sapiens","PMID":"18275831","AUTHORS":"Hutcheson J,Scatizzi JC,Siddiqui AM,Haines GK 3rd,Wu T,Li QZ,Davis LS,Mohan C,Perlman H","GEOID":"GSE10325","EXACT_SOURCE":"GSE10325_1076_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of healthy B cells versus systemic lupus erythematosus B cells.","DESCRIPTION_FULL":"Gene expression profile studies have identified an interferon signature in whole blood or mononuclear cell samples from patients with systemic lupus erythematosus. This study was designed to determine whether specific lymphocyte and myeloid subsets freshly isolated from the blood of systemic lupus erythematosus patients demonstrated unique gene expression profiles compared to subsets isolated from healthy controls."}
{"STANDARD_NAME":"GSE10325_BCELL_VS_LUPUS_BCELL_DN","SYSTEMATIC_NAME":"M3095","ORGANISM":"Homo sapiens","PMID":"18275831","AUTHORS":"Hutcheson J,Scatizzi JC,Siddiqui AM,Haines GK 3rd,Wu T,Li QZ,Davis LS,Mohan C,Perlman H","GEOID":"GSE10325","EXACT_SOURCE":"GSE10325_1076_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of healthy B cells versus systemic lupus erythematosus B cells.","DESCRIPTION_FULL":"Gene expression profile studies have identified an interferon signature in whole blood or mononuclear cell samples from patients with systemic lupus erythematosus. This study was designed to determine whether specific lymphocyte and myeloid subsets freshly isolated from the blood of systemic lupus erythematosus patients demonstrated unique gene expression profiles compared to subsets isolated from healthy controls."}
{"STANDARD_NAME":"GSE10325_MYELOID_VS_LUPUS_MYELOID_UP","SYSTEMATIC_NAME":"M3096","ORGANISM":"Homo sapiens","PMID":"18275831","AUTHORS":"Hutcheson J,Scatizzi JC,Siddiqui AM,Haines GK 3rd,Wu T,Li QZ,Davis LS,Mohan C,Perlman H","GEOID":"GSE10325","EXACT_SOURCE":"GSE10325_1077_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of healthy myeloid cells versus systemic lupus erythematosus myeloid cells.","DESCRIPTION_FULL":"Gene expression profile studies have identified an interferon signature in whole blood or mononuclear cell samples from patients with systemic lupus erythematosus. This study was designed to determine whether specific lymphocyte and myeloid subsets freshly isolated from the blood of systemic lupus erythematosus patients demonstrated unique gene expression profiles compared to subsets isolated from healthy controls."}
{"STANDARD_NAME":"GSE10325_MYELOID_VS_LUPUS_MYELOID_DN","SYSTEMATIC_NAME":"M3097","ORGANISM":"Homo sapiens","PMID":"18275831","AUTHORS":"Hutcheson J,Scatizzi JC,Siddiqui AM,Haines GK 3rd,Wu T,Li QZ,Davis LS,Mohan C,Perlman H","GEOID":"GSE10325","EXACT_SOURCE":"GSE10325_1077_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of healthy myeloid cells versus systemic lupus erythematosus myeloid cells.","DESCRIPTION_FULL":"Gene expression profile studies have identified an interferon signature in whole blood or mononuclear cell samples from patients with systemic lupus erythematosus. This study was designed to determine whether specific lymphocyte and myeloid subsets freshly isolated from the blood of systemic lupus erythematosus patients demonstrated unique gene expression profiles compared to subsets isolated from healthy controls."}
{"STANDARD_NAME":"GSE10463_CD40L_AND_VA347_VS_CD40L_IN_DC_UP","SYSTEMATIC_NAME":"M3098","ORGANISM":"Homo sapiens","PMID":"18270326","AUTHORS":"Lawrence BP,Denison MS,Novak H,Vorderstrasse BA,Harrer N,Neruda W,Reichel C,Woisetschläger M","GEOID":"GSE10463","EXACT_SOURCE":"GSE10463_1742_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells activated in the absense of VAF347 [PubChem=10172275] versus those activated in the presence of VAF347 [PubChem=10172275].","DESCRIPTION_FULL":"VAF347 is a low molecular weight compound which inhibits allergic lung inflammation in vivo. This effect is likely due to a block of dendritic cell (DC) function to generate pro-inflammatory T-helper (Th) cells since VAF347 inhibits IL-6, CD86 and HLA-DR expression by human monocyte derived DC, three relevant molecules for Th-cell generation. Here we demonstrate that VAF347 interacts with the aryl hydrocarbon receptor (AhR) protein resulting in activation of the AhR signaling pathway. Functional AhR is responsible for the biological activity of VAF347 since, i) other AhR agonists display an identical activity profile in vitro, ii) gene silencing of wild type AhR expression or forced over-expression of a trans-dominant negative AhR ablates VAF347 activity to inhibit cytokine induced IL-6 expression in a human monocytic cell line and iii) AhR deficient mice are resistant to the compound’s ability to block allergic lung inflammation in vivo. These data identify the AhR protein as key molecular target of VAF347 and its essential role for mediating the anti-inflammatory effects of the compound in vitro and in vivo."}
{"STANDARD_NAME":"GSE10463_CD40L_AND_VA347_VS_CD40L_IN_DC_DN","SYSTEMATIC_NAME":"M3099","ORGANISM":"Homo sapiens","PMID":"18270326","AUTHORS":"Lawrence BP,Denison MS,Novak H,Vorderstrasse BA,Harrer N,Neruda W,Reichel C,Woisetschläger M","GEOID":"GSE10463","EXACT_SOURCE":"GSE10463_1742_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells activated in the absense of VAF347 [PubChem=10172275] versus those activated in the presence of VAF347 [PubChem=10172275].","DESCRIPTION_FULL":"VAF347 is a low molecular weight compound which inhibits allergic lung inflammation in vivo. This effect is likely due to a block of dendritic cell (DC) function to generate pro-inflammatory T-helper (Th) cells since VAF347 inhibits IL-6, CD86 and HLA-DR expression by human monocyte derived DC, three relevant molecules for Th-cell generation. Here we demonstrate that VAF347 interacts with the aryl hydrocarbon receptor (AhR) protein resulting in activation of the AhR signaling pathway. Functional AhR is responsible for the biological activity of VAF347 since, i) other AhR agonists display an identical activity profile in vitro, ii) gene silencing of wild type AhR expression or forced over-expression of a trans-dominant negative AhR ablates VAF347 activity to inhibit cytokine induced IL-6 expression in a human monocytic cell line and iii) AhR deficient mice are resistant to the compound’s ability to block allergic lung inflammation in vivo. These data identify the AhR protein as key molecular target of VAF347 and its essential role for mediating the anti-inflammatory effects of the compound in vitro and in vivo."}
{"STANDARD_NAME":"GSE10856_CTRL_VS_TNFRSF6B_IN_MACROPHAGE_UP","SYSTEMATIC_NAME":"M3100","ORGANISM":"Homo sapiens","PMID":"18349319","AUTHORS":"Chang YC,Chen TC,Lee CT,Yang CY,Wang HW,Wang CC,Hsieh SL.","GEOID":"GSE10856","EXACT_SOURCE":"GSE10856_2033_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of macrophages treated with control (hIgG1) versus those treated with TNFRSF6B [GeneID=8771].","DESCRIPTION_FULL":"Decoy receptor 3 (DcR3) is a member of the TNF receptor superfamily and is up-regulated in tumors that originate from a diversity of lineages. DcR3 is capable of promoting angiogenesis, inducing dendritic cell apoptosis, and modulating macrophage differentiation. Since tumor-associated macrophages (TAMs) are the major infiltrating leukocytes in most malignant tumors, we used microarray technology to investigate whether DcR3 contributes to the development of TAMs. Among the DcR3-modulated genes expressed by TAMs, those that encode proteins involved in MHC class II (MHC-II)-dependent antigen presentation were down-regulated substantially, together with the master regulator of MHC-II expression (the class II transactivator, CIITA). The ERK- and JNK-induced deacetylation of histones associated with the CIITA promoters was responsible for DcR3-mediated down-regulation of MHC-II expression. Furthermore, the expression level of DcR3 in cancer cells correlated inversely with HLA-DR levels on TAMs and with the overall survival time of pancreatic cancer patients. The role of DcR3 in the development of TAMs was further confirmed using transgenic mice over-expressing DcR3. This elucidates the molecular mechanism of impaired MHC-II-mediated antigen presentation by TAMs, and raises the possibility that subversion of TAM-induced immunosuppression via inhibition of DcR3 expression might represent a target for the design of new therapeutics."}
{"STANDARD_NAME":"GSE10856_CTRL_VS_TNFRSF6B_IN_MACROPHAGE_DN","SYSTEMATIC_NAME":"M3101","ORGANISM":"Homo sapiens","PMID":"18349319","AUTHORS":"Chang YC,Chen TC,Lee CT,Yang CY,Wang HW,Wang CC,Hsieh SL.","GEOID":"GSE10856","EXACT_SOURCE":"GSE10856_2033_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of macrophages treated with control (hIgG1) versus those treated with TNFRSF6B [GeneID=8771].","DESCRIPTION_FULL":"Decoy receptor 3 (DcR3) is a member of the TNF receptor superfamily and is up-regulated in tumors that originate from a diversity of lineages. DcR3 is capable of promoting angiogenesis, inducing dendritic cell apoptosis, and modulating macrophage differentiation. Since tumor-associated macrophages (TAMs) are the major infiltrating leukocytes in most malignant tumors, we used microarray technology to investigate whether DcR3 contributes to the development of TAMs. Among the DcR3-modulated genes expressed by TAMs, those that encode proteins involved in MHC class II (MHC-II)-dependent antigen presentation were down-regulated substantially, together with the master regulator of MHC-II expression (the class II transactivator, CIITA). The ERK- and JNK-induced deacetylation of histones associated with the CIITA promoters was responsible for DcR3-mediated down-regulation of MHC-II expression. Furthermore, the expression level of DcR3 in cancer cells correlated inversely with HLA-DR levels on TAMs and with the overall survival time of pancreatic cancer patients. The role of DcR3 in the development of TAMs was further confirmed using transgenic mice over-expressing DcR3. This elucidates the molecular mechanism of impaired MHC-II-mediated antigen presentation by TAMs, and raises the possibility that subversion of TAM-induced immunosuppression via inhibition of DcR3 expression might represent a target for the design of new therapeutics."}
{"STANDARD_NAME":"GSE11057_NAIVE_VS_EFF_MEMORY_CD4_TCELL_UP","SYSTEMATIC_NAME":"M3104","ORGANISM":"Homo sapiens","PMID":"19568420","AUTHORS":"Abbas AR,Wolslegel K,Seshasayee D,Modrusan Z,Clark HF.","GEOID":"GSE11057","EXACT_SOURCE":"GSE11057_1610_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive T cells versus effector memory T cells.","DESCRIPTION_FULL":"Microarray deconvolution is a technique for quantifying the relative abundance of constituent cells in a mixture based on that mixture's microarray signature and the signatures of the purified constituents. It has been applied to yeast and other systems but not to blood samples. Here we test the ability of this technique to determine the fractions of subsets of memory T cells in peripheral blood mononuclear cell (PBMC) samples."}
{"STANDARD_NAME":"GSE11057_NAIVE_VS_EFF_MEMORY_CD4_TCELL_DN","SYSTEMATIC_NAME":"M3105","ORGANISM":"Homo sapiens","PMID":"19568420","AUTHORS":"Abbas AR,Wolslegel K,Seshasayee D,Modrusan Z,Clark HF.","GEOID":"GSE11057","EXACT_SOURCE":"GSE11057_1610_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive T cells versus effector memory T cells.","DESCRIPTION_FULL":"Microarray deconvolution is a technique for quantifying the relative abundance of constituent cells in a mixture based on that mixture's microarray signature and the signatures of the purified constituents. It has been applied to yeast and other systems but not to blood samples. Here we test the ability of this technique to determine the fractions of subsets of memory T cells in peripheral blood mononuclear cell (PBMC) samples."}
{"STANDARD_NAME":"GSE11057_NAIVE_VS_CENT_MEMORY_CD4_TCELL_UP","SYSTEMATIC_NAME":"M3106","ORGANISM":"Homo sapiens","PMID":"19568420","AUTHORS":"Abbas AR,Wolslegel K,Seshasayee D,Modrusan Z,Clark HF.","GEOID":"GSE11057","EXACT_SOURCE":"GSE11057_1611_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive T cells versus central memory T cells.","DESCRIPTION_FULL":"Microarray deconvolution is a technique for quantifying the relative abundance of constituent cells in a mixture based on that mixture's microarray signature and the signatures of the purified constituents. It has been applied to yeast and other systems but not to blood samples. Here we test the ability of this technique to determine the fractions of subsets of memory T cells in peripheral blood mononuclear cell (PBMC) samples."}
{"STANDARD_NAME":"GSE11057_NAIVE_VS_CENT_MEMORY_CD4_TCELL_DN","SYSTEMATIC_NAME":"M3107","ORGANISM":"Homo sapiens","PMID":"19568420","AUTHORS":"Abbas AR,Wolslegel K,Seshasayee D,Modrusan Z,Clark HF.","GEOID":"GSE11057","EXACT_SOURCE":"GSE11057_1611_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive T cells versus central memory T cells.","DESCRIPTION_FULL":"Microarray deconvolution is a technique for quantifying the relative abundance of constituent cells in a mixture based on that mixture's microarray signature and the signatures of the purified constituents. It has been applied to yeast and other systems but not to blood samples. Here we test the ability of this technique to determine the fractions of subsets of memory T cells in peripheral blood mononuclear cell (PBMC) samples."}
{"STANDARD_NAME":"GSE11057_NAIVE_CD4_VS_PBMC_CD4_TCELL_UP","SYSTEMATIC_NAME":"M3108","ORGANISM":"Homo sapiens","PMID":"19568420","AUTHORS":"Abbas AR,Wolslegel K,Seshasayee D,Modrusan Z,Clark HF.","GEOID":"GSE11057","EXACT_SOURCE":"GSE11057_1612_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive T cells versus peripheral blood mononuclear cells (PBMC).","DESCRIPTION_FULL":"Microarray deconvolution is a technique for quantifying the relative abundance of constituent cells in a mixture based on that mixture's microarray signature and the signatures of the purified constituents. It has been applied to yeast and other systems but not to blood samples. Here we test the ability of this technique to determine the fractions of subsets of memory T cells in peripheral blood mononuclear cell (PBMC) samples."}
{"STANDARD_NAME":"GSE11057_NAIVE_CD4_VS_PBMC_CD4_TCELL_DN","SYSTEMATIC_NAME":"M3110","ORGANISM":"Homo sapiens","PMID":"19568420","AUTHORS":"Abbas AR,Wolslegel K,Seshasayee D,Modrusan Z,Clark HF.","GEOID":"GSE11057","EXACT_SOURCE":"GSE11057_1612_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive T cells versus peripheral blood mononuclear cells (PBMC).","DESCRIPTION_FULL":"Microarray deconvolution is a technique for quantifying the relative abundance of constituent cells in a mixture based on that mixture's microarray signature and the signatures of the purified constituents. It has been applied to yeast and other systems but not to blood samples. Here we test the ability of this technique to determine the fractions of subsets of memory T cells in peripheral blood mononuclear cell (PBMC) samples."}
{"STANDARD_NAME":"GSE11057_EFF_MEM_VS_CENT_MEM_CD4_TCELL_UP","SYSTEMATIC_NAME":"M3111","ORGANISM":"Homo sapiens","PMID":"19568420","AUTHORS":"Abbas AR,Wolslegel K,Seshasayee D,Modrusan Z,Clark HF.","GEOID":"GSE11057","EXACT_SOURCE":"GSE11057_1613_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of effector memory T cells versus central memory T cells from peripheral blood mononuclear cells (PBMC).","DESCRIPTION_FULL":"Microarray deconvolution is a technique for quantifying the relative abundance of constituent cells in a mixture based on that mixture's microarray signature and the signatures of the purified constituents. It has been applied to yeast and other systems but not to blood samples. Here we test the ability of this technique to determine the fractions of subsets of memory T cells in peripheral blood mononuclear cell (PBMC) samples."}
{"STANDARD_NAME":"GSE11057_EFF_MEM_VS_CENT_MEM_CD4_TCELL_DN","SYSTEMATIC_NAME":"M3112","ORGANISM":"Homo sapiens","PMID":"19568420","AUTHORS":"Abbas AR,Wolslegel K,Seshasayee D,Modrusan Z,Clark HF.","GEOID":"GSE11057","EXACT_SOURCE":"GSE11057_1613_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of effector memory T cells versus central memory T cells from peripheral blood mononuclear cells (PBMC).","DESCRIPTION_FULL":"Microarray deconvolution is a technique for quantifying the relative abundance of constituent cells in a mixture based on that mixture's microarray signature and the signatures of the purified constituents. It has been applied to yeast and other systems but not to blood samples. Here we test the ability of this technique to determine the fractions of subsets of memory T cells in peripheral blood mononuclear cell (PBMC) samples."}
{"STANDARD_NAME":"GSE11057_CD4_EFF_MEM_VS_PBMC_UP","SYSTEMATIC_NAME":"M3113","ORGANISM":"Homo sapiens","PMID":"19568420","AUTHORS":"Abbas AR,Wolslegel K,Seshasayee D,Modrusan Z,Clark HF.","GEOID":"GSE11057","EXACT_SOURCE":"GSE11057_1614_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of effector memory T cells versus peripheral blood mononuclear cells (PBMC).","DESCRIPTION_FULL":"Microarray deconvolution is a technique for quantifying the relative abundance of constituent cells in a mixture based on that mixture's microarray signature and the signatures of the purified constituents. It has been applied to yeast and other systems but not to blood samples. Here we test the ability of this technique to determine the fractions of subsets of memory T cells in peripheral blood mononuclear cell (PBMC) samples."}
{"STANDARD_NAME":"GSE11057_CD4_EFF_MEM_VS_PBMC_DN","SYSTEMATIC_NAME":"M3114","ORGANISM":"Homo sapiens","PMID":"19568420","AUTHORS":"Abbas AR,Wolslegel K,Seshasayee D,Modrusan Z,Clark HF.","GEOID":"GSE11057","EXACT_SOURCE":"GSE11057_1614_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comarison of effector memory T cells versus peripheral blood mononuclear cells (PBMC).","DESCRIPTION_FULL":"Microarray deconvolution is a technique for quantifying the relative abundance of constituent cells in a mixture based on that mixture's microarray signature and the signatures of the purified constituents. It has been applied to yeast and other systems but not to blood samples. Here we test the ability of this technique to determine the fractions of subsets of memory T cells in peripheral blood mononuclear cell (PBMC) samples."}
{"STANDARD_NAME":"GSE11057_CD4_CENT_MEM_VS_PBMC_UP","SYSTEMATIC_NAME":"M3116","ORGANISM":"Homo sapiens","PMID":"19568420","AUTHORS":"Abbas AR,Wolslegel K,Seshasayee D,Modrusan Z,Clark HF.","GEOID":"GSE11057","EXACT_SOURCE":"GSE11057_1615_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of central memory T cells versus peripheral blood mononuclear cells (PBMC).","DESCRIPTION_FULL":"Microarray deconvolution is a technique for quantifying the relative abundance of constituent cells in a mixture based on that mixture's microarray signature and the signatures of the purified constituents. It has been applied to yeast and other systems but not to blood samples. Here we test the ability of this technique to determine the fractions of subsets of memory T cells in peripheral blood mononuclear cell (PBMC) samples."}
{"STANDARD_NAME":"GSE11057_CD4_CENT_MEM_VS_PBMC_DN","SYSTEMATIC_NAME":"M3117","ORGANISM":"Homo sapiens","PMID":"19568420","AUTHORS":"Abbas AR,Wolslegel K,Seshasayee D,Modrusan Z,Clark HF.","GEOID":"GSE11057","EXACT_SOURCE":"GSE11057_1615_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of central memory T cells versus peripheral blood mononuclear cells (PBMC).","DESCRIPTION_FULL":"Microarray deconvolution is a technique for quantifying the relative abundance of constituent cells in a mixture based on that mixture's microarray signature and the signatures of the purified constituents. It has been applied to yeast and other systems but not to blood samples. Here we test the ability of this technique to determine the fractions of subsets of memory T cells in peripheral blood mononuclear cell (PBMC) samples."}
{"STANDARD_NAME":"GSE11057_NAIVE_VS_MEMORY_CD4_TCELL_UP","SYSTEMATIC_NAME":"M3118","ORGANISM":"Homo sapiens","PMID":"19568420","AUTHORS":"Abbas AR,Wolslegel K,Seshasayee D,Modrusan Z,Clark HF.","GEOID":"GSE11057","EXACT_SOURCE":"GSE11057_1616_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive T cells versus memory T cells.","DESCRIPTION_FULL":"Microarray deconvolution is a technique for quantifying the relative abundance of constituent cells in a mixture based on that mixture's microarray signature and the signatures of the purified constituents. It has been applied to yeast and other systems but not to blood samples. Here we test the ability of this technique to determine the fractions of subsets of memory T cells in peripheral blood mononuclear cell (PBMC) samples."}
{"STANDARD_NAME":"GSE11057_NAIVE_VS_MEMORY_CD4_TCELL_DN","SYSTEMATIC_NAME":"M3119","ORGANISM":"Homo sapiens","PMID":"19568420","AUTHORS":"Abbas AR,Wolslegel K,Seshasayee D,Modrusan Z,Clark HF.","GEOID":"GSE11057","EXACT_SOURCE":"GSE11057_1616_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive T cells versus memory T cells.","DESCRIPTION_FULL":"Microarray deconvolution is a technique for quantifying the relative abundance of constituent cells in a mixture based on that mixture's microarray signature and the signatures of the purified constituents. It has been applied to yeast and other systems but not to blood samples. Here we test the ability of this technique to determine the fractions of subsets of memory T cells in peripheral blood mononuclear cell (PBMC) samples."}
{"STANDARD_NAME":"GSE11057_PBMC_VS_MEM_CD4_TCELL_UP","SYSTEMATIC_NAME":"M3120","ORGANISM":"Homo sapiens","PMID":"19568420","AUTHORS":"Abbas AR,Wolslegel K,Seshasayee D,Modrusan Z,Clark HF.","GEOID":"GSE11057","EXACT_SOURCE":"GSE11057_1617_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of peripheral mononuclear blood cells (PBMC) versus memory T cells.","DESCRIPTION_FULL":"Microarray deconvolution is a technique for quantifying the relative abundance of constituent cells in a mixture based on that mixture's microarray signature and the signatures of the purified constituents. It has been applied to yeast and other systems but not to blood samples. Here we test the ability of this technique to determine the fractions of subsets of memory T cells in peripheral blood mononuclear cell (PBMC) samples."}
{"STANDARD_NAME":"GSE11057_PBMC_VS_MEM_CD4_TCELL_DN","SYSTEMATIC_NAME":"M3121","ORGANISM":"Homo sapiens","PMID":"19568420","AUTHORS":"Abbas AR,Wolslegel K,Seshasayee D,Modrusan Z,Clark HF.","GEOID":"GSE11057","EXACT_SOURCE":"GSE11057_1617_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of peripheral mononuclear blood cells (PBMC) versus memory T cells.","DESCRIPTION_FULL":"Microarray deconvolution is a technique for quantifying the relative abundance of constituent cells in a mixture based on that mixture's microarray signature and the signatures of the purified constituents. It has been applied to yeast and other systems but not to blood samples. Here we test the ability of this technique to determine the fractions of subsets of memory T cells in peripheral blood mononuclear cell (PBMC) samples."}
{"STANDARD_NAME":"GSE11864_UNTREATED_VS_CSF1_IN_MAC_UP","SYSTEMATIC_NAME":"M3122","ORGANISM":"Homo sapiens","PMID":"18976936","AUTHORS":"Hu X,Chung AY,Wu I,Foldi J,Chen J,Ji JD,Tateya T,Kang YJ,Han J,Gessler M,Kageyama R,Ivashkiv LB.","GEOID":"GSE11864","EXACT_SOURCE":"GSE11864_1078_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated macrophages versus those cultured with M-CSF [GeneID=1435].","DESCRIPTION_FULL":"Gene expression analysis of freshly isolated CD14+ human monocytes and monocytes cultured in the presence or absence of interferon (IFN) -gamma for 24 h and then stimulated with Pam3Cys, a Toll-like receptor (TLR) 2 ligand, for 6 h. Results provide insight into mechanisms by which IFN-gamma reprograms early macrophage differentiation and subsequent response to TLR ligands."}
{"STANDARD_NAME":"GSE11864_UNTREATED_VS_CSF1_IN_MAC_DN","SYSTEMATIC_NAME":"M3123","ORGANISM":"Homo sapiens","PMID":"18976936","AUTHORS":"Hu X,Chung AY,Wu I,Foldi J,Chen J,Ji JD,Tateya T,Kang YJ,Han J,Gessler M,Kageyama R,Ivashkiv LB.","GEOID":"GSE11864","EXACT_SOURCE":"GSE11864_1078_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated macrophages versus those cultured with M-CSF [GeneID=1435].","DESCRIPTION_FULL":"Gene expression analysis of freshly isolated CD14+ human monocytes and monocytes cultured in the presence or absence of interferon (IFN) -gamma for 24 h and then stimulated with Pam3Cys, a Toll-like receptor (TLR) 2 ligand, for 6 h. Results provide insight into mechanisms by which IFN-gamma reprograms early macrophage differentiation and subsequent response to TLR ligands."}
{"STANDARD_NAME":"GSE11864_UNTREATED_VS_CSF1_IFNG_IN_MAC_UP","SYSTEMATIC_NAME":"M3124","ORGANISM":"Homo sapiens","PMID":"18976936","AUTHORS":"Hu X,Chung AY,Wu I,Foldi J,Chen J,Ji JD,Tateya T,Kang YJ,Han J,Gessler M,Kageyama R,Ivashkiv LB.","GEOID":"GSE11864","EXACT_SOURCE":"GSE11864_1079_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated macrophages versus those cultured with M-CSF [GeneID=1435] and IFNG [GeneID=3458].","DESCRIPTION_FULL":"Gene expression analysis of freshly isolated CD14+ human monocytes and monocytes cultured in the presence or absence of interferon (IFN) -gamma for 24 h and then stimulated with Pam3Cys, a Toll-like receptor (TLR) 2 ligand, for 6 h. Results provide insight into mechanisms by which IFN-gamma reprograms early macrophage differentiation and subsequent response to TLR ligands."}
{"STANDARD_NAME":"GSE11864_UNTREATED_VS_CSF1_IFNG_IN_MAC_DN","SYSTEMATIC_NAME":"M3127","ORGANISM":"Homo sapiens","PMID":"18976936","AUTHORS":"Hu X,Chung AY,Wu I,Foldi J,Chen J,Ji JD,Tateya T,Kang YJ,Han J,Gessler M,Kageyama R,Ivashkiv LB.","GEOID":"GSE11864","EXACT_SOURCE":"GSE11864_1079_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated macrophages versus those cultured with M-CSF [GeneID=1435] and IFNG [GeneID=3458].","DESCRIPTION_FULL":"Gene expression analysis of freshly isolated CD14+ human monocytes and monocytes cultured in the presence or absence of interferon (IFN) -gamma for 24 h and then stimulated with Pam3Cys, a Toll-like receptor (TLR) 2 ligand, for 6 h. Results provide insight into mechanisms by which IFN-gamma reprograms early macrophage differentiation and subsequent response to TLR ligands."}
{"STANDARD_NAME":"GSE11864_UNTREATED_VS_CSF1_PAM3CYS_IN_MAC_UP","SYSTEMATIC_NAME":"M3129","ORGANISM":"Homo sapiens","PMID":"18976936","AUTHORS":"Hu X,Chung AY,Wu I,Foldi J,Chen J,Ji JD,Tateya T,Kang YJ,Han J,Gessler M,Kageyama R,Ivashkiv LB.","GEOID":"GSE11864","EXACT_SOURCE":"GSE11864_1080_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated macrophages versus those cultured with M-CSF [GeneID=1435] and Pam3Cys (TLR2 agonist).","DESCRIPTION_FULL":"Gene expression analysis of freshly isolated CD14+ human monocytes and monocytes cultured in the presence or absence of interferon (IFN) -gamma for 24 h and then stimulated with Pam3Cys, a Toll-like receptor (TLR) 2 ligand, for 6 h. Results provide insight into mechanisms by which IFN-gamma reprograms early macrophage differentiation and subsequent response to TLR ligands."}
{"STANDARD_NAME":"GSE11864_UNTREATED_VS_CSF1_PAM3CYS_IN_MAC_DN","SYSTEMATIC_NAME":"M3130","ORGANISM":"Homo sapiens","PMID":"18976936","AUTHORS":"Hu X,Chung AY,Wu I,Foldi J,Chen J,Ji JD,Tateya T,Kang YJ,Han J,Gessler M,Kageyama R,Ivashkiv LB.","GEOID":"GSE11864","EXACT_SOURCE":"GSE11864_1080_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated macrophages versus those cultured with M-CSF [GeneID=1435] and Pam3Cys (TLR2 agonist).","DESCRIPTION_FULL":"Gene expression analysis of freshly isolated CD14+ human monocytes and monocytes cultured in the presence or absence of interferon (IFN) -gamma for 24 h and then stimulated with Pam3Cys, a Toll-like receptor (TLR) 2 ligand, for 6 h. Results provide insight into mechanisms by which IFN-gamma reprograms early macrophage differentiation and subsequent response to TLR ligands."}
{"STANDARD_NAME":"GSE11864_UNTREATED_VS_CSF1_IFNG_PAM3CYS_IN_MAC_UP","SYSTEMATIC_NAME":"M3131","ORGANISM":"Homo sapiens","PMID":"18976936","AUTHORS":"Hu X,Chung AY,Wu I,Foldi J,Chen J,Ji JD,Tateya T,Kang YJ,Han J,Gessler M,Kageyama R,Ivashkiv LB.","GEOID":"GSE11864","EXACT_SOURCE":"GSE11864_1081_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated macrophages versus those cultured with M-CSF [GeneID=1435], IFNG [GeneID=3458] and Pam3Cys (TLR2 agonist).","DESCRIPTION_FULL":"Gene expression analysis of freshly isolated CD14+ human monocytes and monocytes cultured in the presence or absence of interferon (IFN) -gamma for 24 h and then stimulated with Pam3Cys, a Toll-like receptor (TLR) 2 ligand, for 6 h. Results provide insight into mechanisms by which IFN-gamma reprograms early macrophage differentiation and subsequent response to TLR ligands."}
{"STANDARD_NAME":"GSE11864_UNTREATED_VS_CSF1_IFNG_PAM3CYS_IN_MAC_DN","SYSTEMATIC_NAME":"M3132","ORGANISM":"Homo sapiens","PMID":"18976936","AUTHORS":"Hu X,Chung AY,Wu I,Foldi J,Chen J,Ji JD,Tateya T,Kang YJ,Han J,Gessler M,Kageyama R,Ivashkiv LB.","GEOID":"GSE11864","EXACT_SOURCE":"GSE11864_1081_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated macrophages versus those cultured with M-CSF [GeneID=1435], IFNG [GeneID=3458] and Pam3Cys (TLR2 agonist).","DESCRIPTION_FULL":"Gene expression analysis of freshly isolated CD14+ human monocytes and monocytes cultured in the presence or absence of interferon (IFN) -gamma for 24 h and then stimulated with Pam3Cys, a Toll-like receptor (TLR) 2 ligand, for 6 h. Results provide insight into mechanisms by which IFN-gamma reprograms early macrophage differentiation and subsequent response to TLR ligands."}
{"STANDARD_NAME":"GSE11864_CSF1_VS_CSF1_IFNG_IN_MAC_UP","SYSTEMATIC_NAME":"M3133","ORGANISM":"Homo sapiens","PMID":"18976936","AUTHORS":"Hu X,Chung AY,Wu I,Foldi J,Chen J,Ji JD,Tateya T,Kang YJ,Han J,Gessler M,Kageyama R,Ivashkiv LB.","GEOID":"GSE11864","EXACT_SOURCE":"GSE11864_1082_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of macrophages cultured with M-CSF [GeneID=1435] versus macrophages cultured with M-CSF [GeneID=1435] and IFNG [GeneID=3458].","DESCRIPTION_FULL":"Gene expression analysis of freshly isolated CD14+ human monocytes and monocytes cultured in the presence or absence of interferon (IFN) -gamma for 24 h and then stimulated with Pam3Cys, a Toll-like receptor (TLR) 2 ligand, for 6 h. Results provide insight into mechanisms by which IFN-gamma reprograms early macrophage differentiation and subsequent response to TLR ligands."}
{"STANDARD_NAME":"GSE11864_CSF1_VS_CSF1_IFNG_IN_MAC_DN","SYSTEMATIC_NAME":"M3135","ORGANISM":"Homo sapiens","PMID":"18976936","AUTHORS":"Hu X,Chung AY,Wu I,Foldi J,Chen J,Ji JD,Tateya T,Kang YJ,Han J,Gessler M,Kageyama R,Ivashkiv LB.","GEOID":"GSE11864","EXACT_SOURCE":"GSE11864_1082_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of macrophages cultured with M-CSF [GeneID=1435] versus macrophages cultured with M-CSF [GeneID=1435] and IFNG [GeneID=3458].","DESCRIPTION_FULL":"Gene expression analysis of freshly isolated CD14+ human monocytes and monocytes cultured in the presence or absence of interferon (IFN) -gamma for 24 h and then stimulated with Pam3Cys, a Toll-like receptor (TLR) 2 ligand, for 6 h. Results provide insight into mechanisms by which IFN-gamma reprograms early macrophage differentiation and subsequent response to TLR ligands."}
{"STANDARD_NAME":"GSE11864_CSF1_VS_CSF1_PAM3CYS_IN_MAC_UP","SYSTEMATIC_NAME":"M3136","ORGANISM":"Homo sapiens","PMID":"18976936","AUTHORS":"Hu X,Chung AY,Wu I,Foldi J,Chen J,Ji JD,Tateya T,Kang YJ,Han J,Gessler M,Kageyama R,Ivashkiv LB.","GEOID":"GSE11864","EXACT_SOURCE":"GSE11864_1083_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of macrophages cultured with M-CSF [GeneID=1435] versus macrophages cultured with M-CSF [GeneID=1435] and Pam3Cyc.","DESCRIPTION_FULL":"Gene expression analysis of freshly isolated CD14+ human monocytes and monocytes cultured in the presence or absence of interferon (IFN) -gamma for 24 h and then stimulated with Pam3Cys, a Toll-like receptor (TLR) 2 ligand, for 6 h. Results provide insight into mechanisms by which IFN-gamma reprograms early macrophage differentiation and subsequent response to TLR ligands."}
{"STANDARD_NAME":"GSE11864_CSF1_VS_CSF1_PAM3CYS_IN_MAC_DN","SYSTEMATIC_NAME":"M3137","ORGANISM":"Homo sapiens","PMID":"18976936","AUTHORS":"Hu X,Chung AY,Wu I,Foldi J,Chen J,Ji JD,Tateya T,Kang YJ,Han J,Gessler M,Kageyama R,Ivashkiv LB.","GEOID":"GSE11864","EXACT_SOURCE":"GSE11864_1083_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of macrophages cultured with M-CSF[GeneID=1435] versus macrophages cultured with M-CSF [GeneID=1435] and Pam3Cyc.","DESCRIPTION_FULL":"Gene expression analysis of freshly isolated CD14+ human monocytes and monocytes cultured in the presence or absence of interferon (IFN) -gamma for 24 h and then stimulated with Pam3Cys, a Toll-like receptor (TLR) 2 ligand, for 6 h. Results provide insight into mechanisms by which IFN-gamma reprograms early macrophage differentiation and subsequent response to TLR ligands."}
{"STANDARD_NAME":"GSE11864_CSF1_VS_CSF1_IFNG_PAM3CYS_IN_MAC_UP","SYSTEMATIC_NAME":"M3138","ORGANISM":"Homo sapiens","PMID":"18976936","AUTHORS":"Hu X,Chung AY,Wu I,Foldi J,Chen J,Ji JD,Tateya T,Kang YJ,Han J,Gessler M,Kageyama R,Ivashkiv LB.","GEOID":"GSE11864","EXACT_SOURCE":"GSE11864_1084_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of macrophages cultured with M-CSF [GeneID=1435] versus macrophages cultured with M-CSF [GeneID=1435], IFNG [GeneID=3458] and Pam3Cyc.","DESCRIPTION_FULL":"Gene expression analysis of freshly isolated CD14+ human monocytes and monocytes cultured in the presence or absence of interferon (IFN) -gamma for 24 h and then stimulated with Pam3Cys, a Toll-like receptor (TLR) 2 ligand, for 6 h. Results provide insight into mechanisms by which IFN-gamma reprograms early macrophage differentiation and subsequent response to TLR ligands."}
{"STANDARD_NAME":"GSE11864_CSF1_VS_CSF1_IFNG_PAM3CYS_IN_MAC_DN","SYSTEMATIC_NAME":"M3140","ORGANISM":"Homo sapiens","PMID":"18976936","AUTHORS":"Hu X,Chung AY,Wu I,Foldi J,Chen J,Ji JD,Tateya T,Kang YJ,Han J,Gessler M,Kageyama R,Ivashkiv LB.","GEOID":"GSE11864","EXACT_SOURCE":"GSE11864_1084_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of macrophages cultured with M-CSF [GeneID=1435] versus macrophages cultured with M-CSF [GeneID=1435], IFNG [GeneID=3458] and Pam3Cyc.","DESCRIPTION_FULL":"Gene expression analysis of freshly isolated CD14+ human monocytes and monocytes cultured in the presence or absence of interferon (IFN) -gamma for 24 h and then stimulated with Pam3Cys, a Toll-like receptor (TLR) 2 ligand, for 6 h. Results provide insight into mechanisms by which IFN-gamma reprograms early macrophage differentiation and subsequent response to TLR ligands."}
{"STANDARD_NAME":"GSE11864_CSF1_IFNG_VS_CSF1_PAM3CYS_IN_MAC_UP","SYSTEMATIC_NAME":"M3142","ORGANISM":"Homo sapiens","PMID":"18976936","AUTHORS":"Hu X,Chung AY,Wu I,Foldi J,Chen J,Ji JD,Tateya T,Kang YJ,Han J,Gessler M,Kageyama R,Ivashkiv LB.","GEOID":"GSE11864","EXACT_SOURCE":"GSE11864_1085_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of macrophages cultured with M-CSF [GeneID=1435] and IFNG [GeneID=3458] versus macrophages cultured with M-CSF [GeneID=1435] and Pam3Cyc.","DESCRIPTION_FULL":"Gene expression analysis of freshly isolated CD14+ human monocytes and monocytes cultured in the presence or absence of interferon (IFN) -gamma for 24 h and then stimulated with Pam3Cys, a Toll-like receptor (TLR) 2 ligand, for 6 h. Results provide insight into mechanisms by which IFN-gamma reprograms early macrophage differentiation and subsequent response to TLR ligands."}
{"STANDARD_NAME":"GSE11864_CSF1_IFNG_VS_CSF1_PAM3CYS_IN_MAC_DN","SYSTEMATIC_NAME":"M3143","ORGANISM":"Homo sapiens","PMID":"18976936","AUTHORS":"Hu X,Chung AY,Wu I,Foldi J,Chen J,Ji JD,Tateya T,Kang YJ,Han J,Gessler M,Kageyama R,Ivashkiv LB.","GEOID":"GSE11864","EXACT_SOURCE":"GSE11864_1085_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of macrophages cultured with M-CSF [GeneID=1435] and IFNG [GeneID=3458] versus macrophages cultured with M-CSF [GeneID=1435] and Pam3Cyc.","DESCRIPTION_FULL":"Gene expression analysis of freshly isolated CD14+ human monocytes and monocytes cultured in the presence or absence of interferon (IFN) -gamma for 24 h and then stimulated with Pam3Cys, a Toll-like receptor (TLR) 2 ligand, for 6 h. Results provide insight into mechanisms by which IFN-gamma reprograms early macrophage differentiation and subsequent response to TLR ligands."}
{"STANDARD_NAME":"GSE11864_CSF1_IFNG_VS_CSF1_IFNG_PAM3CYS_IN_MAC_UP","SYSTEMATIC_NAME":"M3144","ORGANISM":"Homo sapiens","PMID":"18976936","AUTHORS":"Hu X,Chung AY,Wu I,Foldi J,Chen J,Ji JD,Tateya T,Kang YJ,Han J,Gessler M,Kageyama R,Ivashkiv LB.","GEOID":"GSE11864","EXACT_SOURCE":"GSE11864_1086_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of macrophages cultured with M-CSF [GeneID=1435] and IFNG [GeneID=3458] versus macrophages cultured with M-CSF [GeneID=1435], IFNG [GeneID=3458] and Pam3Cys (TLR2 agonist).","DESCRIPTION_FULL":"Gene expression analysis of freshly isolated CD14+ human monocytes and monocytes cultured in the presence or absence of interferon (IFN) -gamma for 24 h and then stimulated with Pam3Cys, a Toll-like receptor (TLR) 2 ligand, for 6 h. Results provide insight into mechanisms by which IFN-gamma reprograms early macrophage differentiation and subsequent response to TLR ligands."}
{"STANDARD_NAME":"GSE11864_CSF1_IFNG_VS_CSF1_IFNG_PAM3CYS_IN_MAC_DN","SYSTEMATIC_NAME":"M3145","ORGANISM":"Homo sapiens","PMID":"18976936","AUTHORS":"Hu X,Chung AY,Wu I,Foldi J,Chen J,Ji JD,Tateya T,Kang YJ,Han J,Gessler M,Kageyama R,Ivashkiv LB.","GEOID":"GSE11864","EXACT_SOURCE":"GSE11864_1086_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of macrophages cultured with M-CSF [GeneID=1435] and IFNG [GeneID=3458] versus macrophages cultured with M-CSF [GeneID=1435], IFNG [GeneID=3458] and Pam3Cys (TLR2 agonist).","DESCRIPTION_FULL":"Gene expression analysis of freshly isolated CD14+ human monocytes and monocytes cultured in the presence or absence of interferon (IFN) -gamma for 24 h and then stimulated with Pam3Cys, a Toll-like receptor (TLR) 2 ligand, for 6 h. Results provide insight into mechanisms by which IFN-gamma reprograms early macrophage differentiation and subsequent response to TLR ligands."}
{"STANDARD_NAME":"GSE11864_CSF1_PAM3CYS_VS_CSF1_IFNG_PAM3CYS_IN_MAC_UP","SYSTEMATIC_NAME":"M3148","ORGANISM":"Homo sapiens","PMID":"18976936","AUTHORS":"Hu X,Chung AY,Wu I,Foldi J,Chen J,Ji JD,Tateya T,Kang YJ,Han J,Gessler M,Kageyama R,Ivashkiv LB.","GEOID":"GSE11864","EXACT_SOURCE":"GSE11864_1087_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of macrophages cultured with M-CSF [GeneID=1435] and Pam3Cyc versus macrophages cultured with M-CSF [GeneID=1435], IFNG [GeneID=3458] and Pam3Cyc.","DESCRIPTION_FULL":"Gene expression analysis of freshly isolated CD14+ human monocytes and monocytes cultured in the presence or absence of interferon (IFN) -gamma for 24 h and then stimulated with Pam3Cys, a Toll-like receptor (TLR) 2 ligand, for 6 h. Results provide insight into mechanisms by which IFN-gamma reprograms early macrophage differentiation and subsequent response to TLR ligands."}
{"STANDARD_NAME":"GSE11864_CSF1_PAM3CYS_VS_CSF1_IFNG_PAM3CYS_IN_MAC_DN","SYSTEMATIC_NAME":"M3149","ORGANISM":"Homo sapiens","PMID":"18976936","AUTHORS":"Hu X,Chung AY,Wu I,Foldi J,Chen J,Ji JD,Tateya T,Kang YJ,Han J,Gessler M,Kageyama R,Ivashkiv LB.","GEOID":"GSE11864","EXACT_SOURCE":"GSE11864_1087_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of macrophages cultured with M-CSF [GeneID=1435] and Pam3Cyc versus macrophages cultured with M-CSF [GeneID=1435], IFNG [GeneID=3458] and Pam3Cyc.","DESCRIPTION_FULL":"Gene expression analysis of freshly isolated CD14+ human monocytes and monocytes cultured in the presence or absence of interferon (IFN) -gamma for 24 h and then stimulated with Pam3Cys, a Toll-like receptor (TLR) 2 ligand, for 6 h. Results provide insight into mechanisms by which IFN-gamma reprograms early macrophage differentiation and subsequent response to TLR ligands."}
{"STANDARD_NAME":"GSE11924_TFH_VS_TH1_CD4_TCELL_UP","SYSTEMATIC_NAME":"M3151","ORGANISM":"Mus musculus","PMID":"18599325","AUTHORS":"Nurieva RI,Chung Y,Hwang D,Yang XO,Kang HS,Ma L,Wang YH,Watowich SS,Jetten AM,Tian Q,Dong C.","GEOID":"GSE11924","EXACT_SOURCE":"GSE11924_1088_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of T follicular helper (Tfh) cells versus Th1 cells.","DESCRIPTION_FULL":"After activation, CD4+ helper T (Th) cells differentiate into distinct effector subsets. Although chemokine (C-X-C motif) receptor 5-expressing T follicular helper (Tfh) cells are important in humoral immunity, their developmental regulation is unclear. Here we show that Tfh cells had a distinct gene expression profile and developed in vivo independently of the Th1 or Th2 cell lineages. Tfh cell generation was regulated by ICOS ligand (ICOSL) expressed on B cells and was dependent on interleukin-21 (IL-21), IL-6, and signal transducer and activator of transcription 3. However, unlike Th17 cells, differentiation of Tfh cells did not require transforming growth factor b (TGF-b) or Th17-specific orphan nuclear receptors RORa and RORg in vivo. Finally, naive T cells activated in vitro in the presence of IL-21 but not TGF-b signaling preferentially acquired Tfh gene expression and promoted germinal-center reactions in vivo. This study thus demonstrates that Tfh is a distinct Th cell lineage."}
{"STANDARD_NAME":"GSE11924_TFH_VS_TH1_CD4_TCELL_DN","SYSTEMATIC_NAME":"M3152","ORGANISM":"Mus musculus","PMID":"18599325","AUTHORS":"Nurieva RI,Chung Y,Hwang D,Yang XO,Kang HS,Ma L,Wang YH,Watowich SS,Jetten AM,Tian Q,Dong C.","GEOID":"GSE11924","EXACT_SOURCE":"GSE11924_1088_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of T follicular helper (Tfh) cells versus Th1 cells.","DESCRIPTION_FULL":"After activation, CD4+ helper T (Th) cells differentiate into distinct effector subsets. Although chemokine (C-X-C motif) receptor 5-expressing T follicular helper (Tfh) cells are important in humoral immunity, their developmental regulation is unclear. Here we show that Tfh cells had a distinct gene expression profile and developed in vivo independently of the Th1 or Th2 cell lineages. Tfh cell generation was regulated by ICOS ligand (ICOSL) expressed on B cells and was dependent on interleukin-21 (IL-21), IL-6, and signal transducer and activator of transcription 3. However, unlike Th17 cells, differentiation of Tfh cells did not require transforming growth factor b (TGF-b) or Th17-specific orphan nuclear receptors RORa and RORg in vivo. Finally, naive T cells activated in vitro in the presence of IL-21 but not TGF-b signaling preferentially acquired Tfh gene expression and promoted germinal-center reactions in vivo. This study thus demonstrates that Tfh is a distinct Th cell lineage."}
{"STANDARD_NAME":"GSE11924_TFH_VS_TH2_CD4_TCELL_UP","SYSTEMATIC_NAME":"M3153","ORGANISM":"Mus musculus","PMID":"18599325","AUTHORS":"Nurieva RI,Chung Y,Hwang D,Yang XO,Kang HS,Ma L,Wang YH,Watowich SS,Jetten AM,Tian Q,Dong C.","GEOID":"GSE11924","EXACT_SOURCE":"GSE11924_1089_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of T follicular helper (Tfh) cells versus Th2 cells.","DESCRIPTION_FULL":"After activation, CD4+ helper T (Th) cells differentiate into distinct effector subsets. Although chemokine (C-X-C motif) receptor 5-expressing T follicular helper (Tfh) cells are important in humoral immunity, their developmental regulation is unclear. Here we show that Tfh cells had a distinct gene expression profile and developed in vivo independently of the Th1 or Th2 cell lineages. Tfh cell generation was regulated by ICOS ligand (ICOSL) expressed on B cells and was dependent on interleukin-21 (IL-21), IL-6, and signal transducer and activator of transcription 3. However, unlike Th17 cells, differentiation of Tfh cells did not require transforming growth factor b (TGF-b) or Th17-specific orphan nuclear receptors RORa and RORg in vivo. Finally, naive T cells activated in vitro in the presence of IL-21 but not TGF-b signaling preferentially acquired Tfh gene expression and promoted germinal-center reactions in vivo. This study thus demonstrates that Tfh is a distinct Th cell lineage."}
{"STANDARD_NAME":"GSE11924_TFH_VS_TH2_CD4_TCELL_DN","SYSTEMATIC_NAME":"M3154","ORGANISM":"Mus musculus","PMID":"18599325","AUTHORS":"Nurieva RI,Chung Y,Hwang D,Yang XO,Kang HS,Ma L,Wang YH,Watowich SS,Jetten AM,Tian Q,Dong C.","GEOID":"GSE11924","EXACT_SOURCE":"GSE11924_1089_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of T follicular helper (Tfh) cells versus Th2 cells.","DESCRIPTION_FULL":"After activation, CD4+ helper T (Th) cells differentiate into distinct effector subsets. Although chemokine (C-X-C motif) receptor 5-expressing T follicular helper (Tfh) cells are important in humoral immunity, their developmental regulation is unclear. Here we show that Tfh cells had a distinct gene expression profile and developed in vivo independently of the Th1 or Th2 cell lineages. Tfh cell generation was regulated by ICOS ligand (ICOSL) expressed on B cells and was dependent on interleukin-21 (IL-21), IL-6, and signal transducer and activator of transcription 3. However, unlike Th17 cells, differentiation of Tfh cells did not require transforming growth factor b (TGF-b) or Th17-specific orphan nuclear receptors RORa and RORg in vivo. Finally, naive T cells activated in vitro in the presence of IL-21 but not TGF-b signaling preferentially acquired Tfh gene expression and promoted germinal-center reactions in vivo. This study thus demonstrates that Tfh is a distinct Th cell lineage."}
{"STANDARD_NAME":"GSE11924_TFH_VS_TH17_CD4_TCELL_UP","SYSTEMATIC_NAME":"M3156","ORGANISM":"Mus musculus","PMID":"18599325","AUTHORS":"Nurieva RI,Chung Y,Hwang D,Yang XO,Kang HS,Ma L,Wang YH,Watowich SS,Jetten AM,Tian Q,Dong C.","GEOID":"GSE11924","EXACT_SOURCE":"GSE11924_1090_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of T follicular helper (Tfh) cells versus Th17 cells.","DESCRIPTION_FULL":"After activation, CD4+ helper T (Th) cells differentiate into distinct effector subsets. Although chemokine (C-X-C motif) receptor 5-expressing T follicular helper (Tfh) cells are important in humoral immunity, their developmental regulation is unclear. Here we show that Tfh cells had a distinct gene expression profile and developed in vivo independently of the Th1 or Th2 cell lineages. Tfh cell generation was regulated by ICOS ligand (ICOSL) expressed on B cells and was dependent on interleukin-21 (IL-21), IL-6, and signal transducer and activator of transcription 3. However, unlike Th17 cells, differentiation of Tfh cells did not require transforming growth factor b (TGF-b) or Th17-specific orphan nuclear receptors RORa and RORg in vivo. Finally, naive T cells activated in vitro in the presence of IL-21 but not TGF-b signaling preferentially acquired Tfh gene expression and promoted germinal-center reactions in vivo. This study thus demonstrates that Tfh is a distinct Th cell lineage."}
{"STANDARD_NAME":"GSE11924_TFH_VS_TH17_CD4_TCELL_DN","SYSTEMATIC_NAME":"M3157","ORGANISM":"Mus musculus","PMID":"18599325","AUTHORS":"Nurieva RI,Chung Y,Hwang D,Yang XO,Kang HS,Ma L,Wang YH,Watowich SS,Jetten AM,Tian Q,Dong C.","GEOID":"GSE11924","EXACT_SOURCE":"GSE11924_1090_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of T follicular helper (Tfh) cells versus Th17 cells.","DESCRIPTION_FULL":"After activation, CD4+ helper T (Th) cells differentiate into distinct effector subsets. Although chemokine (C-X-C motif) receptor 5-expressing T follicular helper (Tfh) cells are important in humoral immunity, their developmental regulation is unclear. Here we show that Tfh cells had a distinct gene expression profile and developed in vivo independently of the Th1 or Th2 cell lineages. Tfh cell generation was regulated by ICOS ligand (ICOSL) expressed on B cells and was dependent on interleukin-21 (IL-21), IL-6, and signal transducer and activator of transcription 3. However, unlike Th17 cells, differentiation of Tfh cells did not require transforming growth factor b (TGF-b) or Th17-specific orphan nuclear receptors RORa and RORg in vivo. Finally, naive T cells activated in vitro in the presence of IL-21 but not TGF-b signaling preferentially acquired Tfh gene expression and promoted germinal-center reactions in vivo. This study thus demonstrates that Tfh is a distinct Th cell lineage."}
{"STANDARD_NAME":"GSE11924_TH1_VS_TH2_CD4_TCELL_UP","SYSTEMATIC_NAME":"M3159","ORGANISM":"Mus musculus","PMID":"18599325","AUTHORS":"Nurieva RI,Chung Y,Hwang D,Yang XO,Kang HS,Ma L,Wang YH,Watowich SS,Jetten AM,Tian Q,Dong C.","GEOID":"GSE11924","EXACT_SOURCE":"GSE11924_1091_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of Th1 cells versus Th2 cells.","DESCRIPTION_FULL":"After activation, CD4+ helper T (Th) cells differentiate into distinct effector subsets. Although chemokine (C-X-C motif) receptor 5-expressing T follicular helper (Tfh) cells are important in humoral immunity, their developmental regulation is unclear. Here we show that Tfh cells had a distinct gene expression profile and developed in vivo independently of the Th1 or Th2 cell lineages. Tfh cell generation was regulated by ICOS ligand (ICOSL) expressed on B cells and was dependent on interleukin-21 (IL-21), IL-6, and signal transducer and activator of transcription 3. However, unlike Th17 cells, differentiation of Tfh cells did not require transforming growth factor b (TGF-b) or Th17-specific orphan nuclear receptors RORa and RORg in vivo. Finally, naive T cells activated in vitro in the presence of IL-21 but not TGF-b signaling preferentially acquired Tfh gene expression and promoted germinal-center reactions in vivo. This study thus demonstrates that Tfh is a distinct Th cell lineage."}
{"STANDARD_NAME":"GSE11924_TH1_VS_TH2_CD4_TCELL_DN","SYSTEMATIC_NAME":"M3160","ORGANISM":"Mus musculus","PMID":"18599325","AUTHORS":"Nurieva RI,Chung Y,Hwang D,Yang XO,Kang HS,Ma L,Wang YH,Watowich SS,Jetten AM,Tian Q,Dong C.","GEOID":"GSE11924","EXACT_SOURCE":"GSE11924_1091_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of Th1 cells versus Th2 cells.","DESCRIPTION_FULL":"After activation, CD4+ helper T (Th) cells differentiate into distinct effector subsets. Although chemokine (C-X-C motif) receptor 5-expressing T follicular helper (Tfh) cells are important in humoral immunity, their developmental regulation is unclear. Here we show that Tfh cells had a distinct gene expression profile and developed in vivo independently of the Th1 or Th2 cell lineages. Tfh cell generation was regulated by ICOS ligand (ICOSL) expressed on B cells and was dependent on interleukin-21 (IL-21), IL-6, and signal transducer and activator of transcription 3. However, unlike Th17 cells, differentiation of Tfh cells did not require transforming growth factor b (TGF-b) or Th17-specific orphan nuclear receptors RORa and RORg in vivo. Finally, naive T cells activated in vitro in the presence of IL-21 but not TGF-b signaling preferentially acquired Tfh gene expression and promoted germinal-center reactions in vivo. This study thus demonstrates that Tfh is a distinct Th cell lineage."}
{"STANDARD_NAME":"GSE11924_TH1_VS_TH17_CD4_TCELL_UP","SYSTEMATIC_NAME":"M3161","ORGANISM":"Mus musculus","PMID":"18599325","AUTHORS":"Nurieva RI,Chung Y,Hwang D,Yang XO,Kang HS,Ma L,Wang YH,Watowich SS,Jetten AM,Tian Q,Dong C.","GEOID":"GSE11924","EXACT_SOURCE":"GSE11924_1092_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of Th1 cells versus Th17 cells.","DESCRIPTION_FULL":"After activation, CD4+ helper T (Th) cells differentiate into distinct effector subsets. Although chemokine (C-X-C motif) receptor 5-expressing T follicular helper (Tfh) cells are important in humoral immunity, their developmental regulation is unclear. Here we show that Tfh cells had a distinct gene expression profile and developed in vivo independently of the Th1 or Th2 cell lineages. Tfh cell generation was regulated by ICOS ligand (ICOSL) expressed on B cells and was dependent on interleukin-21 (IL-21), IL-6, and signal transducer and activator of transcription 3. However, unlike Th17 cells, differentiation of Tfh cells did not require transforming growth factor b (TGF-b) or Th17-specific orphan nuclear receptors RORa and RORg in vivo. Finally, naive T cells activated in vitro in the presence of IL-21 but not TGF-b signaling preferentially acquired Tfh gene expression and promoted germinal-center reactions in vivo. This study thus demonstrates that Tfh is a distinct Th cell lineage."}
{"STANDARD_NAME":"GSE11924_TH1_VS_TH17_CD4_TCELL_DN","SYSTEMATIC_NAME":"M3163","ORGANISM":"Mus musculus","PMID":"18599325","AUTHORS":"Nurieva RI,Chung Y,Hwang D,Yang XO,Kang HS,Ma L,Wang YH,Watowich SS,Jetten AM,Tian Q,Dong C.","GEOID":"GSE11924","EXACT_SOURCE":"GSE11924_1092_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of Th1 cells versus Th17 cells.","DESCRIPTION_FULL":"After activation, CD4+ helper T (Th) cells differentiate into distinct effector subsets. Although chemokine (C-X-C motif) receptor 5-expressing T follicular helper (Tfh) cells are important in humoral immunity, their developmental regulation is unclear. Here we show that Tfh cells had a distinct gene expression profile and developed in vivo independently of the Th1 or Th2 cell lineages. Tfh cell generation was regulated by ICOS ligand (ICOSL) expressed on B cells and was dependent on interleukin-21 (IL-21), IL-6, and signal transducer and activator of transcription 3. However, unlike Th17 cells, differentiation of Tfh cells did not require transforming growth factor b (TGF-b) or Th17-specific orphan nuclear receptors RORa and RORg in vivo. Finally, naive T cells activated in vitro in the presence of IL-21 but not TGF-b signaling preferentially acquired Tfh gene expression and promoted germinal-center reactions in vivo. This study thus demonstrates that Tfh is a distinct Th cell lineage."}
{"STANDARD_NAME":"GSE11924_TH2_VS_TH17_CD4_TCELL_UP","SYSTEMATIC_NAME":"M3164","ORGANISM":"Mus musculus","PMID":"18599325","AUTHORS":"Nurieva RI,Chung Y,Hwang D,Yang XO,Kang HS,Ma L,Wang YH,Watowich SS,Jetten AM,Tian Q,Dong C.","GEOID":"GSE11924","EXACT_SOURCE":"GSE11924_1093_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of Th2 cells versus Th17 cells.","DESCRIPTION_FULL":"After activation, CD4+ helper T (Th) cells differentiate into distinct effector subsets. Although chemokine (C-X-C motif) receptor 5-expressing T follicular helper (Tfh) cells are important in humoral immunity, their developmental regulation is unclear. Here we show that Tfh cells had a distinct gene expression profile and developed in vivo independently of the Th1 or Th2 cell lineages. Tfh cell generation was regulated by ICOS ligand (ICOSL) expressed on B cells and was dependent on interleukin-21 (IL-21), IL-6, and signal transducer and activator of transcription 3. However, unlike Th17 cells, differentiation of Tfh cells did not require transforming growth factor b (TGF-b) or Th17-specific orphan nuclear receptors RORa and RORg in vivo. Finally, naive T cells activated in vitro in the presence of IL-21 but not TGF-b signaling preferentially acquired Tfh gene expression and promoted germinal-center reactions in vivo. This study thus demonstrates that Tfh is a distinct Th cell lineage."}
{"STANDARD_NAME":"GSE11924_TH2_VS_TH17_CD4_TCELL_DN","SYSTEMATIC_NAME":"M3165","ORGANISM":"Mus musculus","PMID":"18599325","AUTHORS":"Nurieva RI,Chung Y,Hwang D,Yang XO,Kang HS,Ma L,Wang YH,Watowich SS,Jetten AM,Tian Q,Dong C.","GEOID":"GSE11924","EXACT_SOURCE":"GSE11924_1093_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of Th2 cells versus Th17 cells.","DESCRIPTION_FULL":"After activation, CD4+ helper T (Th) cells differentiate into distinct effector subsets. Although chemokine (C-X-C motif) receptor 5-expressing T follicular helper (Tfh) cells are important in humoral immunity, their developmental regulation is unclear. Here we show that Tfh cells had a distinct gene expression profile and developed in vivo independently of the Th1 or Th2 cell lineages. Tfh cell generation was regulated by ICOS ligand (ICOSL) expressed on B cells and was dependent on interleukin-21 (IL-21), IL-6, and signal transducer and activator of transcription 3. However, unlike Th17 cells, differentiation of Tfh cells did not require transforming growth factor b (TGF-b) or Th17-specific orphan nuclear receptors RORa and RORg in vivo. Finally, naive T cells activated in vitro in the presence of IL-21 but not TGF-b signaling preferentially acquired Tfh gene expression and promoted germinal-center reactions in vivo. This study thus demonstrates that Tfh is a distinct Th cell lineage."}
{"STANDARD_NAME":"GSE12366_GC_BCELL_VS_PLASMA_CELL_UP","SYSTEMATIC_NAME":"M3166","ORGANISM":"Homo sapiens","PMID":"19023113","AUTHORS":"Longo NS,Lugar PL,Yavuz S,Zhang W,Krijger PH,Russ DE,Jima DD,Dave SS,Grammer AC,Lipsky PE.","GEOID":"GSE12366","EXACT_SOURCE":"GSE12366_2013_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of germinal center B cells versus plasma cells.","DESCRIPTION_FULL":"Sorted B cells using flow cytometry. CD19 selected B cells were sorted using flow cytometry."}
{"STANDARD_NAME":"GSE12366_GC_BCELL_VS_PLASMA_CELL_DN","SYSTEMATIC_NAME":"M3167","ORGANISM":"Homo sapiens","PMID":"19023113","AUTHORS":"Longo NS,Lugar PL,Yavuz S,Zhang W,Krijger PH,Russ DE,Jima DD,Dave SS,Grammer AC,Lipsky PE.","GEOID":"GSE12366","EXACT_SOURCE":"GSE12366_2013_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of germinal center B cells versus plasma cells.","DESCRIPTION_FULL":"Sorted B cells using flow cytometry. CD19 selected B cells were sorted using flow cytometry."}
{"STANDARD_NAME":"GSE12366_GC_VS_NAIVE_BCELL_UP","SYSTEMATIC_NAME":"M3168","ORGANISM":"Homo sapiens","PMID":"19023113","AUTHORS":"Longo NS,Lugar PL,Yavuz S,Zhang W,Krijger PH,Russ DE,Jima DD,Dave SS,Grammer AC,Lipsky PE.","GEOID":"GSE12366","EXACT_SOURCE":"GSE12366_2014_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of germinal center B cells versus naive B cells.","DESCRIPTION_FULL":"Sorted B cells using flow cytometry. CD19 selected B cells were sorted using flow cytometry."}
{"STANDARD_NAME":"GSE12366_GC_VS_NAIVE_BCELL_DN","SYSTEMATIC_NAME":"M3170","ORGANISM":"Homo sapiens","PMID":"19023113","AUTHORS":"Longo NS,Lugar PL,Yavuz S,Zhang W,Krijger PH,Russ DE,Jima DD,Dave SS,Grammer AC,Lipsky PE.","GEOID":"GSE12366","EXACT_SOURCE":"GSE12366_2014_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of germinal center B cells versus naive B cells.","DESCRIPTION_FULL":"Sorted B cells using flow cytometry. CD19 selected B cells were sorted using flow cytometry."}
{"STANDARD_NAME":"GSE12366_GC_VS_MEMORY_BCELL_UP","SYSTEMATIC_NAME":"M3171","ORGANISM":"Homo sapiens","PMID":"19023113","AUTHORS":"Longo NS,Lugar PL,Yavuz S,Zhang W,Krijger PH,Russ DE,Jima DD,Dave SS,Grammer AC,Lipsky PE.","GEOID":"GSE12366","EXACT_SOURCE":"GSE12366_2015_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of germinal center B cells versus memory B cells.","DESCRIPTION_FULL":"Sorted B cells using flow cytometry. CD19 selected B cells were sorted using flow cytometry."}
{"STANDARD_NAME":"GSE12366_GC_VS_MEMORY_BCELL_DN","SYSTEMATIC_NAME":"M3173","ORGANISM":"Homo sapiens","PMID":"19023113","AUTHORS":"Longo NS,Lugar PL,Yavuz S,Zhang W,Krijger PH,Russ DE,Jima DD,Dave SS,Grammer AC,Lipsky PE.","GEOID":"GSE12366","EXACT_SOURCE":"GSE12366_2015_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of germinal center B cells versus memory B cells.","DESCRIPTION_FULL":"Sorted B cells using flow cytometry. CD19 selected B cells were sorted using flow cytometry."}
{"STANDARD_NAME":"GSE12366_PLASMA_CELL_VS_NAIVE_BCELL_UP","SYSTEMATIC_NAME":"M3174","ORGANISM":"Homo sapiens","PMID":"19023113","AUTHORS":"Longo NS,Lugar PL,Yavuz S,Zhang W,Krijger PH,Russ DE,Jima DD,Dave SS,Grammer AC,Lipsky PE.","GEOID":"GSE12366","EXACT_SOURCE":"GSE12366_2016_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in plasma cells versus naive B cells.","DESCRIPTION_FULL":"Sorted B cells using flow cytometry. CD19 selected B cells were sorted using flow cytometry."}
{"STANDARD_NAME":"GSE12366_PLASMA_CELL_VS_NAIVE_BCELL_DN","SYSTEMATIC_NAME":"M3175","ORGANISM":"Homo sapiens","PMID":"19023113","AUTHORS":"Longo NS,Lugar PL,Yavuz S,Zhang W,Krijger PH,Russ DE,Jima DD,Dave SS,Grammer AC,Lipsky PE.","GEOID":"GSE12366","EXACT_SOURCE":"GSE12366_2016_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in plasma cells versus naive B cells.","DESCRIPTION_FULL":"Sorted B cells using flow cytometry. CD19 selected B cells were sorted using flow cytometry."}
{"STANDARD_NAME":"GSE12366_PLASMA_CELL_VS_MEMORY_BCELL_UP","SYSTEMATIC_NAME":"M3176","ORGANISM":"Homo sapiens","PMID":"19023113","AUTHORS":"Longo NS,Lugar PL,Yavuz S,Zhang W,Krijger PH,Russ DE,Jima DD,Dave SS,Grammer AC,Lipsky PE.","GEOID":"GSE12366","EXACT_SOURCE":"GSE12366_2017_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in plasma cells versus memory B cells.","DESCRIPTION_FULL":"Sorted B cells using flow cytometry. CD19 selected B cells were sorted using flow cytometry."}
{"STANDARD_NAME":"GSE12366_PLASMA_CELL_VS_MEMORY_BCELL_DN","SYSTEMATIC_NAME":"M3177","ORGANISM":"Homo sapiens","PMID":"19023113","AUTHORS":"Longo NS,Lugar PL,Yavuz S,Zhang W,Krijger PH,Russ DE,Jima DD,Dave SS,Grammer AC,Lipsky PE.","GEOID":"GSE12366","EXACT_SOURCE":"GSE12366_2017_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in plasma cells versus memory B cells.","DESCRIPTION_FULL":"Sorted B cells using flow cytometry. CD19 selected B cells were sorted using flow cytometry."}
{"STANDARD_NAME":"GSE12366_NAIVE_VS_MEMORY_BCELL_UP","SYSTEMATIC_NAME":"M3178","ORGANISM":"Homo sapiens","PMID":"19023113","AUTHORS":"Longo NS,Lugar PL,Yavuz S,Zhang W,Krijger PH,Russ DE,Jima DD,Dave SS,Grammer AC,Lipsky PE.","GEOID":"GSE12366","EXACT_SOURCE":"GSE12366_2018_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive B cells versus memory B cells.","DESCRIPTION_FULL":"Sorted B cells using flow cytometry. CD19 selected B cells were sorted using flow cytometry."}
{"STANDARD_NAME":"GSE12366_NAIVE_VS_MEMORY_BCELL_DN","SYSTEMATIC_NAME":"M3181","ORGANISM":"Homo sapiens","PMID":"19023113","AUTHORS":"Longo NS,Lugar PL,Yavuz S,Zhang W,Krijger PH,Russ DE,Jima DD,Dave SS,Grammer AC,Lipsky PE.","GEOID":"GSE12366","EXACT_SOURCE":"GSE12366_2018_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive B cells versus memory B cells.","DESCRIPTION_FULL":"Sorted B cells using flow cytometry. CD19 selected B cells were sorted using flow cytometry."}
{"STANDARD_NAME":"GSE12845_IGD_POS_VS_NEG_BLOOD_BCELL_UP","SYSTEMATIC_NAME":"M3182","ORGANISM":"Homo sapiens","PMID":"19023113","AUTHORS":"Longo NS,Lugar PL,Yavuz S,Zhang W,Krijger PH,Russ DE,Jima DD,Dave SS,Grammer AC,Lipsky PE.","GEOID":"GSE12845","EXACT_SOURCE":"GSE12845_2019_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of IgD+ B cells versus IgD- B cells.","DESCRIPTION_FULL":"B cells from human tonsil and blood were sorted using flow cytometry. The human samples were processed immediately ex-vivo using markers for known B cell subsets."}
{"STANDARD_NAME":"GSE12845_IGD_POS_VS_NEG_BLOOD_BCELL_DN","SYSTEMATIC_NAME":"M3183","ORGANISM":"Homo sapiens","PMID":"19023113","AUTHORS":"Longo NS,Lugar PL,Yavuz S,Zhang W,Krijger PH,Russ DE,Jima DD,Dave SS,Grammer AC,Lipsky PE.","GEOID":"GSE12845","EXACT_SOURCE":"GSE12845_2019_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of IgD+ B cells versus IgD- B cells.","DESCRIPTION_FULL":"B cells from human tonsil and blood were sorted using flow cytometry. The human samples were processed immediately ex-vivo using markers for known B cell subsets."}
{"STANDARD_NAME":"GSE12845_IGD_POS_BLOOD_VS_NAIVE_TONSIL_BCELL_UP","SYSTEMATIC_NAME":"M3184","ORGANISM":"Homo sapiens","PMID":"19023113","AUTHORS":"Longo NS,Lugar PL,Yavuz S,Zhang W,Krijger PH,Russ DE,Jima DD,Dave SS,Grammer AC,Lipsky PE.","GEOID":"GSE12845","EXACT_SOURCE":"GSE12845_2020_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of IgD+ peripheral blood B cells versus IgD- naive tonsil B cells.","DESCRIPTION_FULL":"B cells from human tonsil and blood were sorted using flow cytometry. The human samples were processed immediately ex-vivo using markers for known B cell subsets."}
{"STANDARD_NAME":"GSE12845_IGD_POS_BLOOD_VS_NAIVE_TONSIL_BCELL_DN","SYSTEMATIC_NAME":"M3186","ORGANISM":"Homo sapiens","PMID":"19023113","AUTHORS":"Longo NS,Lugar PL,Yavuz S,Zhang W,Krijger PH,Russ DE,Jima DD,Dave SS,Grammer AC,Lipsky PE.","GEOID":"GSE12845","EXACT_SOURCE":"GSE12845_2020_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of IgD+ peripheral blood B cells versus IgD- naive tonsil B cells.","DESCRIPTION_FULL":"B cells from human tonsil and blood were sorted using flow cytometry. The human samples were processed immediately ex-vivo using markers for known B cell subsets."}
{"STANDARD_NAME":"GSE12845_IGD_POS_BLOOD_VS_PRE_GC_TONSIL_BCELL_UP","SYSTEMATIC_NAME":"M3187","ORGANISM":"Homo sapiens","PMID":"19023113","AUTHORS":"Longo NS,Lugar PL,Yavuz S,Zhang W,Krijger PH,Russ DE,Jima DD,Dave SS,Grammer AC,Lipsky PE.","GEOID":"GSE12845","EXACT_SOURCE":"GSE12845_2021_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of IgD+ B cells from peripheral blood versus CD19 pre-germinal center tonsil B cell","DESCRIPTION_FULL":"B cells from human tonsil and blood were sorted using flow cytometry. The human samples were processed immediately ex-vivo using markers for known B cell subsets."}
{"STANDARD_NAME":"GSE12845_IGD_POS_BLOOD_VS_PRE_GC_TONSIL_BCELL_DN","SYSTEMATIC_NAME":"M3188","ORGANISM":"Homo sapiens","PMID":"19023113","AUTHORS":"Longo NS,Lugar PL,Yavuz S,Zhang W,Krijger PH,Russ DE,Jima DD,Dave SS,Grammer AC,Lipsky PE.","GEOID":"GSE12845","EXACT_SOURCE":"GSE12845_2021_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of IgD+ B cells from peripheral blood versus CD19 pre-germinal center tonsil B cell","DESCRIPTION_FULL":"B cells from human tonsil and blood were sorted using flow cytometry. The human samples were processed immediately ex-vivo using markers for known B cell subsets."}
{"STANDARD_NAME":"GSE12845_IGD_POS_BLOOD_VS_DARKZONE_GC_TONSIL_BCELL_UP","SYSTEMATIC_NAME":"M3189","ORGANISM":"Homo sapiens","PMID":"19023113","AUTHORS":"Longo NS,Lugar PL,Yavuz S,Zhang W,Krijger PH,Russ DE,Jima DD,Dave SS,Grammer AC,Lipsky PE.","GEOID":"GSE12845","EXACT_SOURCE":"GSE12845_2022_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of IgD+ peripheral blood B cells versus dark zone germincal center B cells.","DESCRIPTION_FULL":"B cells from human tonsil and blood were sorted using flow cytometry. The human samples were processed immediately ex-vivo using markers for known B cell subsets."}
{"STANDARD_NAME":"GSE12845_IGD_POS_BLOOD_VS_DARKZONE_GC_TONSIL_BCELL_DN","SYSTEMATIC_NAME":"M3191","ORGANISM":"Homo sapiens","PMID":"19023113","AUTHORS":"Longo NS,Lugar PL,Yavuz S,Zhang W,Krijger PH,Russ DE,Jima DD,Dave SS,Grammer AC,Lipsky PE.","GEOID":"GSE12845","EXACT_SOURCE":"GSE12845_2022_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of IgD+ peripheral blood B cells versus dark zone germincal center B cells.","DESCRIPTION_FULL":"B cells from human tonsil and blood were sorted using flow cytometry. The human samples were processed immediately ex-vivo using markers for known B cell subsets."}
{"STANDARD_NAME":"GSE12845_IGD_NEG_BLOOD_VS_NAIVE_TONSIL_BCELL_UP","SYSTEMATIC_NAME":"M3192","ORGANISM":"Homo sapiens","PMID":"19023113","AUTHORS":"Longo NS,Lugar PL,Yavuz S,Zhang W,Krijger PH,Russ DE,Jima DD,Dave SS,Grammer AC,Lipsky PE.","GEOID":"GSE12845","EXACT_SOURCE":"GSE12845_2023_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of IgD- peripheral blood B cells versus dark zone germinal center B cells.","DESCRIPTION_FULL":"B cells from human tonsil and blood were sorted using flow cytometry. The human samples were processed immediately ex-vivo using markers for known B cell subsets."}
{"STANDARD_NAME":"GSE12845_IGD_NEG_BLOOD_VS_NAIVE_TONSIL_BCELL_DN","SYSTEMATIC_NAME":"M3193","ORGANISM":"Homo sapiens","PMID":"19023113","AUTHORS":"Longo NS,Lugar PL,Yavuz S,Zhang W,Krijger PH,Russ DE,Jima DD,Dave SS,Grammer AC,Lipsky PE.","GEOID":"GSE12845","EXACT_SOURCE":"GSE12845_2023_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of IgD- peripheral blood B cells versus dark zone germinal center B cells.","DESCRIPTION_FULL":"B cells from human tonsil and blood were sorted using flow cytometry. The human samples were processed immediately ex-vivo using markers for known B cell subsets."}
{"STANDARD_NAME":"GSE12845_IGD_NEG_BLOOD_VS_PRE_GC_TONSIL_BCELL_UP","SYSTEMATIC_NAME":"M3194","ORGANISM":"Homo sapiens","PMID":"19023113","AUTHORS":"Longo NS,Lugar PL,Yavuz S,Zhang W,Krijger PH,Russ DE,Jima DD,Dave SS,Grammer AC,Lipsky PE.","GEOID":"GSE12845","EXACT_SOURCE":"GSE12845_2024_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of IgD- peripheral blood B cells versus pre-germinal center B cells.","DESCRIPTION_FULL":"B cells from human tonsil and blood were sorted using flow cytometry. The human samples were processed immediately ex-vivo using markers for known B cell subsets."}
{"STANDARD_NAME":"GSE12845_IGD_NEG_BLOOD_VS_PRE_GC_TONSIL_BCELL_DN","SYSTEMATIC_NAME":"M3195","ORGANISM":"Homo sapiens","PMID":"19023113","AUTHORS":"Longo NS,Lugar PL,Yavuz S,Zhang W,Krijger PH,Russ DE,Jima DD,Dave SS,Grammer AC,Lipsky PE.","GEOID":"GSE12845","EXACT_SOURCE":"GSE12845_2024_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of IgD- peripheral blood B cells versus pre-germinal center B cells.","DESCRIPTION_FULL":"B cells from human tonsil and blood were sorted using flow cytometry. The human samples were processed immediately ex-vivo using markers for known B cell subsets."}
{"STANDARD_NAME":"GSE12845_IGD_NEG_BLOOD_VS_DARKZONE_GC_TONSIL_BCELL_UP","SYSTEMATIC_NAME":"M3196","ORGANISM":"Homo sapiens","PMID":"19023113","AUTHORS":"Longo NS,Lugar PL,Yavuz S,Zhang W,Krijger PH,Russ DE,Jima DD,Dave SS,Grammer AC,Lipsky PE.","GEOID":"GSE12845","EXACT_SOURCE":"GSE12845_2025_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of IgD- peripheral blood B cells versus dark zone germinal center B cells.","DESCRIPTION_FULL":"B cells from human tonsil and blood were sorted using flow cytometry. The human samples were processed immediately ex-vivo using markers for known B cell subsets."}
{"STANDARD_NAME":"GSE12845_IGD_NEG_BLOOD_VS_DARKZONE_GC_TONSIL_BCELL_DN","SYSTEMATIC_NAME":"M3197","ORGANISM":"Homo sapiens","PMID":"19023113","AUTHORS":"Longo NS,Lugar PL,Yavuz S,Zhang W,Krijger PH,Russ DE,Jima DD,Dave SS,Grammer AC,Lipsky PE.","GEOID":"GSE12845","EXACT_SOURCE":"GSE12845_2025_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of IgD- peripheral blood B cells versus dark zone germinal center B cells.","DESCRIPTION_FULL":"B cells from human tonsil and blood were sorted using flow cytometry. The human samples were processed immediately ex-vivo using markers for known B cell subsets."}
{"STANDARD_NAME":"GSE12845_NAIVE_VS_PRE_GC_TONSIL_BCELL_UP","SYSTEMATIC_NAME":"M3198","ORGANISM":"Homo sapiens","PMID":"19023113","AUTHORS":"Longo NS,Lugar PL,Yavuz S,Zhang W,Krijger PH,Russ DE,Jima DD,Dave SS,Grammer AC,Lipsky PE.","GEOID":"GSE12845","EXACT_SOURCE":"GSE12845_2026_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive B cell versus pre-germinal tonsil B cells.","DESCRIPTION_FULL":"B cells from human tonsil and blood were sorted using flow cytometry. The human samples were processed immediately ex-vivo using markers for known B cell subsets."}
{"STANDARD_NAME":"GSE12845_NAIVE_VS_PRE_GC_TONSIL_BCELL_DN","SYSTEMATIC_NAME":"M3199","ORGANISM":"Homo sapiens","PMID":"19023113","AUTHORS":"Longo NS,Lugar PL,Yavuz S,Zhang W,Krijger PH,Russ DE,Jima DD,Dave SS,Grammer AC,Lipsky PE.","GEOID":"GSE12845","EXACT_SOURCE":"GSE12845_2026_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive B cell versus pre-germinal tonsil B cells.","DESCRIPTION_FULL":"B cells from human tonsil and blood were sorted using flow cytometry. The human samples were processed immediately ex-vivo using markers for known B cell subsets."}
{"STANDARD_NAME":"GSE12845_NAIVE_VS_DARKZONE_GC_TONSIL_BCELL_UP","SYSTEMATIC_NAME":"M3200","ORGANISM":"Homo sapiens","PMID":"19023113","AUTHORS":"Longo NS,Lugar PL,Yavuz S,Zhang W,Krijger PH,Russ DE,Jima DD,Dave SS,Grammer AC,Lipsky PE.","GEOID":"GSE12845","EXACT_SOURCE":"GSE12845_2027_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive B cell versus dark zone germinal center B cells.","DESCRIPTION_FULL":"B cells from human tonsil and blood were sorted using flow cytometry. The human samples were processed immediately ex-vivo using markers for known B cell subsets."}
{"STANDARD_NAME":"GSE12845_NAIVE_VS_DARKZONE_GC_TONSIL_BCELL_DN","SYSTEMATIC_NAME":"M3202","ORGANISM":"Homo sapiens","PMID":"19023113","AUTHORS":"Longo NS,Lugar PL,Yavuz S,Zhang W,Krijger PH,Russ DE,Jima DD,Dave SS,Grammer AC,Lipsky PE.","GEOID":"GSE12845","EXACT_SOURCE":"GSE12845_2027_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive B cell versus dark zone germinal center B cells.","DESCRIPTION_FULL":"B cells from human tonsil and blood were sorted using flow cytometry. The human samples were processed immediately ex-vivo using markers for known B cell subsets."}
{"STANDARD_NAME":"GSE12845_PRE_GC_VS_DARKZONE_GC_TONSIL_BCELL_UP","SYSTEMATIC_NAME":"M3203","ORGANISM":"Homo sapiens","PMID":"19023113","AUTHORS":"Longo NS,Lugar PL,Yavuz S,Zhang W,Krijger PH,Russ DE,Jima DD,Dave SS,Grammer AC,Lipsky PE.","GEOID":"GSE12845","EXACT_SOURCE":"GSE12845_2028_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of pre-germinal center B cells versus dark zone germinal center B cells.","DESCRIPTION_FULL":"B cells from human tonsil and blood were sorted using flow cytometry. The human samples were processed immediately ex-vivo using markers for known B cell subsets."}
{"STANDARD_NAME":"GSE12845_PRE_GC_VS_DARKZONE_GC_TONSIL_BCELL_DN","SYSTEMATIC_NAME":"M3204","ORGANISM":"Homo sapiens","PMID":"19023113","AUTHORS":"Longo NS,Lugar PL,Yavuz S,Zhang W,Krijger PH,Russ DE,Jima DD,Dave SS,Grammer AC,Lipsky PE.","GEOID":"GSE12845","EXACT_SOURCE":"GSE12845_2028_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of pre-germinal center B cells versus dark zone germinal center B cells.","DESCRIPTION_FULL":"B cells from human tonsil and blood were sorted using flow cytometry. The human samples were processed immediately ex-vivo using markers for known B cell subsets."}
{"STANDARD_NAME":"GSE13229_IMM_VS_MATURE_NKCELL_UP","SYSTEMATIC_NAME":"M3205","ORGANISM":"Mus musculus","PMID":"19234143","AUTHORS":"Chiossone L,Chaix J,Fuseri N,Roth C,Vivier E,Walzer T.","GEOID":"GSE13229","EXACT_SOURCE":"GSE13229_2029_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of immature NK cells versus mature NK cells.","DESCRIPTION_FULL":"Previous reports have defined three subsets of mouse NK cells on the basis of the expression of CD27 and CD11b. The developmental relationship between these subsets was unclear. To address this issue, we evaluated the overall proximity between mouse NK cell subsets defined by CD27 and CD11b expression using pangenomic gene expression profiling. The results suggest that CD27+CD11b-, CD27+CD11b+ and CD27-CD11b+ correspond to three different intermediates stages of NK cell development."}
{"STANDARD_NAME":"GSE13229_IMM_VS_MATURE_NKCELL_DN","SYSTEMATIC_NAME":"M3207","ORGANISM":"Mus musculus","PMID":"19234143","AUTHORS":"Chiossone L,Chaix J,Fuseri N,Roth C,Vivier E,Walzer T.","GEOID":"GSE13229","EXACT_SOURCE":"GSE13229_2029_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of immature NK cells versus mature NK cells.","DESCRIPTION_FULL":"Previous reports have defined three subsets of mouse NK cells on the basis of the expression of CD27 and CD11b. The developmental relationship between these subsets was unclear. To address this issue, we evaluated the overall proximity between mouse NK cell subsets defined by CD27 and CD11b expression using pangenomic gene expression profiling. The results suggest that CD27+CD11b-, CD27+CD11b+ and CD27-CD11b+ correspond to three different intermediates stages of NK cell development."}
{"STANDARD_NAME":"GSE13229_IMM_VS_INTMATURE_NKCELL_UP","SYSTEMATIC_NAME":"M3209","ORGANISM":"Mus musculus","PMID":"19234143","AUTHORS":"Chiossone L,Chaix J,Fuseri N,Roth C,Vivier E,Walzer T.","GEOID":"GSE13229","EXACT_SOURCE":"GSE13229_2030_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of immature NK cells versus intermediate mature NK cells.","DESCRIPTION_FULL":"Previous reports have defined three subsets of mouse NK cells on the basis of the expression of CD27 and CD11b. The developmental relationship between these subsets was unclear. To address this issue, we evaluated the overall proximity between mouse NK cell subsets defined by CD27 and CD11b expression using pangenomic gene expression profiling. The results suggest that CD27+CD11b-, CD27+CD11b+ and CD27-CD11b+ correspond to three different intermediates stages of NK cell development."}
{"STANDARD_NAME":"GSE13229_IMM_VS_INTMATURE_NKCELL_DN","SYSTEMATIC_NAME":"M3212","ORGANISM":"Mus musculus","PMID":"19234143","AUTHORS":"Chiossone L,Chaix J,Fuseri N,Roth C,Vivier E,Walzer T.","GEOID":"GSE13229","EXACT_SOURCE":"GSE13229_2030_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of immature NK cells versus intermediate mature NK cells.","DESCRIPTION_FULL":"Previous reports have defined three subsets of mouse NK cells on the basis of the expression of CD27 and CD11b. The developmental relationship between these subsets was unclear. To address this issue, we evaluated the overall proximity between mouse NK cell subsets defined by CD27 and CD11b expression using pangenomic gene expression profiling. The results suggest that CD27+CD11b-, CD27+CD11b+ and CD27-CD11b+ correspond to three different intermediates stages of NK cell development."}
{"STANDARD_NAME":"GSE13229_MATURE_VS_INTMATURE_NKCELL_UP","SYSTEMATIC_NAME":"M3213","ORGANISM":"Mus musculus","PMID":"19234143","AUTHORS":"Chiossone L,Chaix J,Fuseri N,Roth C,Vivier E,Walzer T.","GEOID":"GSE13229","EXACT_SOURCE":"GSE13229_2031_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of mature NK cells versus intermediate mature KN cells.","DESCRIPTION_FULL":"Previous reports have defined three subsets of mouse NK cells on the basis of the expression of CD27 and CD11b. The developmental relationship between these subsets was unclear. To address this issue, we evaluated the overall proximity between mouse NK cell subsets defined by CD27 and CD11b expression using pangenomic gene expression profiling. The results suggest that CD27+CD11b-, CD27+CD11b+ and CD27-CD11b+ correspond to three different intermediates stages of NK cell development."}
{"STANDARD_NAME":"GSE13229_MATURE_VS_INTMATURE_NKCELL_DN","SYSTEMATIC_NAME":"M3216","ORGANISM":"Mus musculus","PMID":"19234143","AUTHORS":"Chiossone L,Chaix J,Fuseri N,Roth C,Vivier E,Walzer T.","GEOID":"GSE13229","EXACT_SOURCE":"GSE13229_2031_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of mature NK cells versus intermediate mature KN cells.","DESCRIPTION_FULL":"Previous reports have defined three subsets of mouse NK cells on the basis of the expression of CD27 and CD11b. The developmental relationship between these subsets was unclear. To address this issue, we evaluated the overall proximity between mouse NK cell subsets defined by CD27 and CD11b expression using pangenomic gene expression profiling. The results suggest that CD27+CD11b-, CD27+CD11b+ and CD27-CD11b+ correspond to three different intermediates stages of NK cell development."}
{"STANDARD_NAME":"GSE13306_LAMINA_PROPRIA_VS_SPLEEN_TREG_UP","SYSTEMATIC_NAME":"M3217","ORGANISM":"Mus musculus","PMID":"19006694","AUTHORS":"Hill JA,Hall JA,Sun CM,Cai Q,Ghyselinck N,Chambon P,Belkaid Y,Mathis D,Benoist C.","GEOID":"GSE13306","EXACT_SOURCE":"GSE13306_1094_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD4 [GeneID=920] T cells activated with lamina propria dendritic cells versus regulatory T cell (Treg).","DESCRIPTION_FULL":"CD4(+)Foxp3(+) regulatory T (Treg) cells originate primarily from thymic differentiation, but conversion of mature T lymphocytes to Foxp3 positivity can be elicited by several means, including in vitro activation in the presence of TGF-beta. Retinoic acid (RA) increases TGF-beta-induced expression of Foxp3, through unknown molecular mechanisms. We showed here that, rather than enhancing TGF-beta signaling directly in naive CD4(+) T cells, RA negatively regulated an accompanying population of CD4(+) T cells with a CD44(hi) memory and effector phenotype. These memory cells actively inhibited the TGF-beta-induced conversion of naive CD4(+) T cells through the synthesis of a set of cytokines (IL-4, IL-21, IFN-gamma) whose expression was coordinately curtailed by RA. This indirect effect was evident in vivo and required the expression of the RA receptor alpha. Thus, cytokine-producing CD44(hi) cells actively restrain TGF-beta-mediated Foxp3 expression in naive T cells, and this balance can be shifted or fine-tuned by RA."}
{"STANDARD_NAME":"GSE13306_LAMINA_PROPRIA_VS_SPLEEN_TREG_DN","SYSTEMATIC_NAME":"M3219","ORGANISM":"Mus musculus","PMID":"19006694","AUTHORS":"Hill JA,Hall JA,Sun CM,Cai Q,Ghyselinck N,Chambon P,Belkaid Y,Mathis D,Benoist C.","GEOID":"GSE13306","EXACT_SOURCE":"GSE13306_1094_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD4 [GeneID=920] T cells activated with lamina propria dendritic cells versus regulatory T cell (Treg).","DESCRIPTION_FULL":"CD4(+)Foxp3(+) regulatory T (Treg) cells originate primarily from thymic differentiation, but conversion of mature T lymphocytes to Foxp3 positivity can be elicited by several means, including in vitro activation in the presence of TGF-beta. Retinoic acid (RA) increases TGF-beta-induced expression of Foxp3, through unknown molecular mechanisms. We showed here that, rather than enhancing TGF-beta signaling directly in naive CD4(+) T cells, RA negatively regulated an accompanying population of CD4(+) T cells with a CD44(hi) memory and effector phenotype. These memory cells actively inhibited the TGF-beta-induced conversion of naive CD4(+) T cells through the synthesis of a set of cytokines (IL-4, IL-21, IFN-gamma) whose expression was coordinately curtailed by RA. This indirect effect was evident in vivo and required the expression of the RA receptor alpha. Thus, cytokine-producing CD44(hi) cells actively restrain TGF-beta-mediated Foxp3 expression in naive T cells, and this balance can be shifted or fine-tuned by RA."}
{"STANDARD_NAME":"GSE13306_TREG_VS_TCONV_LAMINA_PROPRIA_UP","SYSTEMATIC_NAME":"M3220","ORGANISM":"Mus musculus","PMID":"19006694","AUTHORS":"Hill JA,Hall JA,Sun CM,Cai Q,Ghyselinck N,Chambon P,Belkaid Y,Mathis D,Benoist C.","GEOID":"GSE13306","EXACT_SOURCE":"GSE13306_1095_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of regulatory T cell (Treg) versus conventional T cells activated with lamina propria dendritic cells.","DESCRIPTION_FULL":"CD4(+)Foxp3(+) regulatory T (Treg) cells originate primarily from thymic differentiation, but conversion of mature T lymphocytes to Foxp3 positivity can be elicited by several means, including in vitro activation in the presence of TGF-beta. Retinoic acid (RA) increases TGF-beta-induced expression of Foxp3, through unknown molecular mechanisms. We showed here that, rather than enhancing TGF-beta signaling directly in naive CD4(+) T cells, RA negatively regulated an accompanying population of CD4(+) T cells with a CD44(hi) memory and effector phenotype. These memory cells actively inhibited the TGF-beta-induced conversion of naive CD4(+) T cells through the synthesis of a set of cytokines (IL-4, IL-21, IFN-gamma) whose expression was coordinately curtailed by RA. This indirect effect was evident in vivo and required the expression of the RA receptor alpha. Thus, cytokine-producing CD44(hi) cells actively restrain TGF-beta-mediated Foxp3 expression in naive T cells, and this balance can be shifted or fine-tuned by RA."}
{"STANDARD_NAME":"GSE13306_TREG_VS_TCONV_LAMINA_PROPRIA_DN","SYSTEMATIC_NAME":"M3222","ORGANISM":"Mus musculus","PMID":"19006694","AUTHORS":"Hill JA,Hall JA,Sun CM,Cai Q,Ghyselinck N,Chambon P,Belkaid Y,Mathis D,Benoist C.","GEOID":"GSE13306","EXACT_SOURCE":"GSE13306_1095_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of regulatory T cell (Treg) versus conventional T cells activated with lamina propria dendritic cells.","DESCRIPTION_FULL":"CD4(+)Foxp3(+) regulatory T (Treg) cells originate primarily from thymic differentiation, but conversion of mature T lymphocytes to Foxp3 positivity can be elicited by several means, including in vitro activation in the presence of TGF-beta. Retinoic acid (RA) increases TGF-beta-induced expression of Foxp3, through unknown molecular mechanisms. We showed here that, rather than enhancing TGF-beta signaling directly in naive CD4(+) T cells, RA negatively regulated an accompanying population of CD4(+) T cells with a CD44(hi) memory and effector phenotype. These memory cells actively inhibited the TGF-beta-induced conversion of naive CD4(+) T cells through the synthesis of a set of cytokines (IL-4, IL-21, IFN-gamma) whose expression was coordinately curtailed by RA. This indirect effect was evident in vivo and required the expression of the RA receptor alpha. Thus, cytokine-producing CD44(hi) cells actively restrain TGF-beta-mediated Foxp3 expression in naive T cells, and this balance can be shifted or fine-tuned by RA."}
{"STANDARD_NAME":"GSE13306_TREG_VS_TCONV_SPLEEN_UP","SYSTEMATIC_NAME":"M3224","ORGANISM":"Mus musculus","PMID":"19006694","AUTHORS":"Hill JA,Hall JA,Sun CM,Cai Q,Ghyselinck N,Chambon P,Belkaid Y,Mathis D,Benoist C.","GEOID":"GSE13306","EXACT_SOURCE":"GSE13306_1096_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of regulatory T cell (Treg) versus conventional T cells.","DESCRIPTION_FULL":"CD4(+)Foxp3(+) regulatory T (Treg) cells originate primarily from thymic differentiation, but conversion of mature T lymphocytes to Foxp3 positivity can be elicited by several means, including in vitro activation in the presence of TGF-beta. Retinoic acid (RA) increases TGF-beta-induced expression of Foxp3, through unknown molecular mechanisms. We showed here that, rather than enhancing TGF-beta signaling directly in naive CD4(+) T cells, RA negatively regulated an accompanying population of CD4(+) T cells with a CD44(hi) memory and effector phenotype. These memory cells actively inhibited the TGF-beta-induced conversion of naive CD4(+) T cells through the synthesis of a set of cytokines (IL-4, IL-21, IFN-gamma) whose expression was coordinately curtailed by RA. This indirect effect was evident in vivo and required the expression of the RA receptor alpha. Thus, cytokine-producing CD44(hi) cells actively restrain TGF-beta-mediated Foxp3 expression in naive T cells, and this balance can be shifted or fine-tuned by RA."}
{"STANDARD_NAME":"GSE13306_TREG_VS_TCONV_SPLEEN_DN","SYSTEMATIC_NAME":"M3225","ORGANISM":"Mus musculus","PMID":"19006694","AUTHORS":"Hill JA,Hall JA,Sun CM,Cai Q,Ghyselinck N,Chambon P,Belkaid Y,Mathis D,Benoist C.","GEOID":"GSE13306","EXACT_SOURCE":"GSE13306_1096_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of regulatory T cell (Treg) versus conventional T cells.","DESCRIPTION_FULL":"CD4(+)Foxp3(+) regulatory T (Treg) cells originate primarily from thymic differentiation, but conversion of mature T lymphocytes to Foxp3 positivity can be elicited by several means, including in vitro activation in the presence of TGF-beta. Retinoic acid (RA) increases TGF-beta-induced expression of Foxp3, through unknown molecular mechanisms. We showed here that, rather than enhancing TGF-beta signaling directly in naive CD4(+) T cells, RA negatively regulated an accompanying population of CD4(+) T cells with a CD44(hi) memory and effector phenotype. These memory cells actively inhibited the TGF-beta-induced conversion of naive CD4(+) T cells through the synthesis of a set of cytokines (IL-4, IL-21, IFN-gamma) whose expression was coordinately curtailed by RA. This indirect effect was evident in vivo and required the expression of the RA receptor alpha. Thus, cytokine-producing CD44(hi) cells actively restrain TGF-beta-mediated Foxp3 expression in naive T cells, and this balance can be shifted or fine-tuned by RA."}
{"STANDARD_NAME":"GSE13306_TREG_RA_VS_TCONV_RA_UP","SYSTEMATIC_NAME":"M3226","ORGANISM":"Mus musculus","PMID":"19006694","AUTHORS":"Hill JA,Hall JA,Sun CM,Cai Q,Ghyselinck N,Chambon P,Belkaid Y,Mathis D,Benoist C.","GEOID":"GSE13306","EXACT_SOURCE":"GSE13306_1097_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in regulatory T cell (Treg) treated with retinoic acid (tretinoin) [PubChem=444795] versus conventional T cells.","DESCRIPTION_FULL":"CD4(+)Foxp3(+) regulatory T (Treg) cells originate primarily from thymic differentiation, but conversion of mature T lymphocytes to Foxp3 positivity can be elicited by several means, including in vitro activation in the presence of TGF-beta. Retinoic acid (RA) increases TGF-beta-induced expression of Foxp3, through unknown molecular mechanisms. We showed here that, rather than enhancing TGF-beta signaling directly in naive CD4(+) T cells, RA negatively regulated an accompanying population of CD4(+) T cells with a CD44(hi) memory and effector phenotype. These memory cells actively inhibited the TGF-beta-induced conversion of naive CD4(+) T cells through the synthesis of a set of cytokines (IL-4, IL-21, IFN-gamma) whose expression was coordinately curtailed by RA. This indirect effect was evident in vivo and required the expression of the RA receptor alpha. Thus, cytokine-producing CD44(hi) cells actively restrain TGF-beta-mediated Foxp3 expression in naive T cells, and this balance can be shifted or fine-tuned by RA."}
{"STANDARD_NAME":"GSE13306_TREG_RA_VS_TCONV_RA_DN","SYSTEMATIC_NAME":"M3227","ORGANISM":"Mus musculus","PMID":"19006694","AUTHORS":"Hill JA,Hall JA,Sun CM,Cai Q,Ghyselinck N,Chambon P,Belkaid Y,Mathis D,Benoist C.","GEOID":"GSE13306","EXACT_SOURCE":"GSE13306_1097_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in regulatory T cell (Treg) treated with retinoic acid (tretinoin) [PubChem=444795] versus conventional T cells.","DESCRIPTION_FULL":"CD4(+)Foxp3(+) regulatory T (Treg) cells originate primarily from thymic differentiation, but conversion of mature T lymphocytes to Foxp3 positivity can be elicited by several means, including in vitro activation in the presence of TGF-beta. Retinoic acid (RA) increases TGF-beta-induced expression of Foxp3, through unknown molecular mechanisms. We showed here that, rather than enhancing TGF-beta signaling directly in naive CD4(+) T cells, RA negatively regulated an accompanying population of CD4(+) T cells with a CD44(hi) memory and effector phenotype. These memory cells actively inhibited the TGF-beta-induced conversion of naive CD4(+) T cells through the synthesis of a set of cytokines (IL-4, IL-21, IFN-gamma) whose expression was coordinately curtailed by RA. This indirect effect was evident in vivo and required the expression of the RA receptor alpha. Thus, cytokine-producing CD44(hi) cells actively restrain TGF-beta-mediated Foxp3 expression in naive T cells, and this balance can be shifted or fine-tuned by RA."}
{"STANDARD_NAME":"GSE13306_TREG_VS_TCONV_UP","SYSTEMATIC_NAME":"M3229","ORGANISM":"Mus musculus","PMID":"19006694","AUTHORS":"Hill JA,Hall JA,Sun CM,Cai Q,Ghyselinck N,Chambon P,Belkaid Y,Mathis D,Benoist C.","GEOID":"GSE13306","EXACT_SOURCE":"GSE13306_1098_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in regulatory T cell (Treg) versus conventional T cells.","DESCRIPTION_FULL":"CD4(+)Foxp3(+) regulatory T (Treg) cells originate primarily from thymic differentiation, but conversion of mature T lymphocytes to Foxp3 positivity can be elicited by several means, including in vitro activation in the presence of TGF-beta. Retinoic acid (RA) increases TGF-beta-induced expression of Foxp3, through unknown molecular mechanisms. We showed here that, rather than enhancing TGF-beta signaling directly in naive CD4(+) T cells, RA negatively regulated an accompanying population of CD4(+) T cells with a CD44(hi) memory and effector phenotype. These memory cells actively inhibited the TGF-beta-induced conversion of naive CD4(+) T cells through the synthesis of a set of cytokines (IL-4, IL-21, IFN-gamma) whose expression was coordinately curtailed by RA. This indirect effect was evident in vivo and required the expression of the RA receptor alpha. Thus, cytokine-producing CD44(hi) cells actively restrain TGF-beta-mediated Foxp3 expression in naive T cells, and this balance can be shifted or fine-tuned by RA."}
{"STANDARD_NAME":"GSE13306_TREG_VS_TCONV_DN","SYSTEMATIC_NAME":"M3230","ORGANISM":"Mus musculus","PMID":"19006694","AUTHORS":"Hill JA,Hall JA,Sun CM,Cai Q,Ghyselinck N,Chambon P,Belkaid Y,Mathis D,Benoist C.","GEOID":"GSE13306","EXACT_SOURCE":"GSE13306_1098_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in regulatory T cell (Treg) versus conventional T cells.","DESCRIPTION_FULL":"CD4(+)Foxp3(+) regulatory T (Treg) cells originate primarily from thymic differentiation, but conversion of mature T lymphocytes to Foxp3 positivity can be elicited by several means, including in vitro activation in the presence of TGF-beta. Retinoic acid (RA) increases TGF-beta-induced expression of Foxp3, through unknown molecular mechanisms. We showed here that, rather than enhancing TGF-beta signaling directly in naive CD4(+) T cells, RA negatively regulated an accompanying population of CD4(+) T cells with a CD44(hi) memory and effector phenotype. These memory cells actively inhibited the TGF-beta-induced conversion of naive CD4(+) T cells through the synthesis of a set of cytokines (IL-4, IL-21, IFN-gamma) whose expression was coordinately curtailed by RA. This indirect effect was evident in vivo and required the expression of the RA receptor alpha. Thus, cytokine-producing CD44(hi) cells actively restrain TGF-beta-mediated Foxp3 expression in naive T cells, and this balance can be shifted or fine-tuned by RA."}
{"STANDARD_NAME":"GSE13306_RA_VS_UNTREATED_TREG_UP","SYSTEMATIC_NAME":"M3232","ORGANISM":"Mus musculus","PMID":"19006694","AUTHORS":"Hill JA,Hall JA,Sun CM,Cai Q,Ghyselinck N,Chambon P,Belkaid Y,Mathis D,Benoist C.","GEOID":"GSE13306","EXACT_SOURCE":"GSE13306_1099_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of regulatory T cell (Treg) treated with retinoic acid (tretinoin) [PubChem=444795] versus untreated regulatory T cell (Treg).","DESCRIPTION_FULL":"CD4(+)Foxp3(+) regulatory T (Treg) cells originate primarily from thymic differentiation, but conversion of mature T lymphocytes to Foxp3 positivity can be elicited by several means, including in vitro activation in the presence of TGF-beta. Retinoic acid (RA) increases TGF-beta-induced expression of Foxp3, through unknown molecular mechanisms. We showed here that, rather than enhancing TGF-beta signaling directly in naive CD4(+) T cells, RA negatively regulated an accompanying population of CD4(+) T cells with a CD44(hi) memory and effector phenotype. These memory cells actively inhibited the TGF-beta-induced conversion of naive CD4(+) T cells through the synthesis of a set of cytokines (IL-4, IL-21, IFN-gamma) whose expression was coordinately curtailed by RA. This indirect effect was evident in vivo and required the expression of the RA receptor alpha. Thus, cytokine-producing CD44(hi) cells actively restrain TGF-beta-mediated Foxp3 expression in naive T cells, and this balance can be shifted or fine-tuned by RA."}
{"STANDARD_NAME":"GSE13306_RA_VS_UNTREATED_TREG_DN","SYSTEMATIC_NAME":"M3233","ORGANISM":"Mus musculus","PMID":"19006694","AUTHORS":"Hill JA,Hall JA,Sun CM,Cai Q,Ghyselinck N,Chambon P,Belkaid Y,Mathis D,Benoist C.","GEOID":"GSE13306","EXACT_SOURCE":"GSE13306_1099_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of regulatory T cell (Treg) treated with retinoic acid (tretinoin) [PubChem=444795] versus untreated regulatory T cell (Treg).","DESCRIPTION_FULL":"CD4(+)Foxp3(+) regulatory T (Treg) cells originate primarily from thymic differentiation, but conversion of mature T lymphocytes to Foxp3 positivity can be elicited by several means, including in vitro activation in the presence of TGF-beta. Retinoic acid (RA) increases TGF-beta-induced expression of Foxp3, through unknown molecular mechanisms. We showed here that, rather than enhancing TGF-beta signaling directly in naive CD4(+) T cells, RA negatively regulated an accompanying population of CD4(+) T cells with a CD44(hi) memory and effector phenotype. These memory cells actively inhibited the TGF-beta-induced conversion of naive CD4(+) T cells through the synthesis of a set of cytokines (IL-4, IL-21, IFN-gamma) whose expression was coordinately curtailed by RA. This indirect effect was evident in vivo and required the expression of the RA receptor alpha. Thus, cytokine-producing CD44(hi) cells actively restrain TGF-beta-mediated Foxp3 expression in naive T cells, and this balance can be shifted or fine-tuned by RA."}
{"STANDARD_NAME":"GSE13306_RA_VS_UNTREATED_TCONV_UP","SYSTEMATIC_NAME":"M3234","ORGANISM":"Mus musculus","PMID":"19006694","AUTHORS":"Hill JA,Hall JA,Sun CM,Cai Q,Ghyselinck N,Chambon P,Belkaid Y,Mathis D,Benoist C.","GEOID":"GSE13306","EXACT_SOURCE":"GSE13306_1100_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of conventional T cells treated with retinoic acid (tretinoin) [PubChem=444795] versus untreated conventional T cells.","DESCRIPTION_FULL":"CD4(+)Foxp3(+) regulatory T (Treg) cells originate primarily from thymic differentiation, but conversion of mature T lymphocytes to Foxp3 positivity can be elicited by several means, including in vitro activation in the presence of TGF-beta. Retinoic acid (RA) increases TGF-beta-induced expression of Foxp3, through unknown molecular mechanisms. We showed here that, rather than enhancing TGF-beta signaling directly in naive CD4(+) T cells, RA negatively regulated an accompanying population of CD4(+) T cells with a CD44(hi) memory and effector phenotype. These memory cells actively inhibited the TGF-beta-induced conversion of naive CD4(+) T cells through the synthesis of a set of cytokines (IL-4, IL-21, IFN-gamma) whose expression was coordinately curtailed by RA. This indirect effect was evident in vivo and required the expression of the RA receptor alpha. Thus, cytokine-producing CD44(hi) cells actively restrain TGF-beta-mediated Foxp3 expression in naive T cells, and this balance can be shifted or fine-tuned by RA."}
{"STANDARD_NAME":"GSE13306_RA_VS_UNTREATED_TCONV_DN","SYSTEMATIC_NAME":"M3235","ORGANISM":"Mus musculus","PMID":"19006694","AUTHORS":"Hill JA,Hall JA,Sun CM,Cai Q,Ghyselinck N,Chambon P,Belkaid Y,Mathis D,Benoist C.","GEOID":"GSE13306","EXACT_SOURCE":"GSE13306_1100_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of conventional T cells treated with retinoic acid (tretinoin) [PubChem=444795] versus untreated conventional T cells.","DESCRIPTION_FULL":"CD4(+)Foxp3(+) regulatory T (Treg) cells originate primarily from thymic differentiation, but conversion of mature T lymphocytes to Foxp3 positivity can be elicited by several means, including in vitro activation in the presence of TGF-beta. Retinoic acid (RA) increases TGF-beta-induced expression of Foxp3, through unknown molecular mechanisms. We showed here that, rather than enhancing TGF-beta signaling directly in naive CD4(+) T cells, RA negatively regulated an accompanying population of CD4(+) T cells with a CD44(hi) memory and effector phenotype. These memory cells actively inhibited the TGF-beta-induced conversion of naive CD4(+) T cells through the synthesis of a set of cytokines (IL-4, IL-21, IFN-gamma) whose expression was coordinately curtailed by RA. This indirect effect was evident in vivo and required the expression of the RA receptor alpha. Thus, cytokine-producing CD44(hi) cells actively restrain TGF-beta-mediated Foxp3 expression in naive T cells, and this balance can be shifted or fine-tuned by RA."}
{"STANDARD_NAME":"GSE13306_RA_VS_UNTREATED_MEM_CD4_TCELL_UP","SYSTEMATIC_NAME":"M3236","ORGANISM":"Mus musculus","PMID":"19006694","AUTHORS":"Hill JA,Hall JA,Sun CM,Cai Q,Ghyselinck N,Chambon P,Belkaid Y,Mathis D,Benoist C.","GEOID":"GSE13306","EXACT_SOURCE":"GSE13306_1101_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of memory CD4 [GeneID=920] T cells treated with retinoic acid (tretinoin) [PubChem=444795] versus untreated memory CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"CD4(+)Foxp3(+) regulatory T (Treg) cells originate primarily from thymic differentiation, but conversion of mature T lymphocytes to Foxp3 positivity can be elicited by several means, including in vitro activation in the presence of TGF-beta. Retinoic acid (RA) increases TGF-beta-induced expression of Foxp3, through unknown molecular mechanisms. We showed here that, rather than enhancing TGF-beta signaling directly in naive CD4(+) T cells, RA negatively regulated an accompanying population of CD4(+) T cells with a CD44(hi) memory and effector phenotype. These memory cells actively inhibited the TGF-beta-induced conversion of naive CD4(+) T cells through the synthesis of a set of cytokines (IL-4, IL-21, IFN-gamma) whose expression was coordinately curtailed by RA. This indirect effect was evident in vivo and required the expression of the RA receptor alpha. Thus, cytokine-producing CD44(hi) cells actively restrain TGF-beta-mediated Foxp3 expression in naive T cells, and this balance can be shifted or fine-tuned by RA."}
{"STANDARD_NAME":"GSE13306_RA_VS_UNTREATED_MEM_CD4_TCELL_DN","SYSTEMATIC_NAME":"M3237","ORGANISM":"Mus musculus","PMID":"19006694","AUTHORS":"Hill JA,Hall JA,Sun CM,Cai Q,Ghyselinck N,Chambon P,Belkaid Y,Mathis D,Benoist C.","GEOID":"GSE13306","EXACT_SOURCE":"GSE13306_1101_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of memory CD4 [GeneID=920] T cells treated with retinoic acid (tretinoin) [PubChem=444795] versus untreated memory CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"CD4(+)Foxp3(+) regulatory T (Treg) cells originate primarily from thymic differentiation, but conversion of mature T lymphocytes to Foxp3 positivity can be elicited by several means, including in vitro activation in the presence of TGF-beta. Retinoic acid (RA) increases TGF-beta-induced expression of Foxp3, through unknown molecular mechanisms. We showed here that, rather than enhancing TGF-beta signaling directly in naive CD4(+) T cells, RA negatively regulated an accompanying population of CD4(+) T cells with a CD44(hi) memory and effector phenotype. These memory cells actively inhibited the TGF-beta-induced conversion of naive CD4(+) T cells through the synthesis of a set of cytokines (IL-4, IL-21, IFN-gamma) whose expression was coordinately curtailed by RA. This indirect effect was evident in vivo and required the expression of the RA receptor alpha. Thus, cytokine-producing CD44(hi) cells actively restrain TGF-beta-mediated Foxp3 expression in naive T cells, and this balance can be shifted or fine-tuned by RA."}
{"STANDARD_NAME":"GSE13411_NAIVE_VS_IGM_MEMORY_BCELL_UP","SYSTEMATIC_NAME":"M3239","ORGANISM":"Homo sapiens","PMID":"19124732","AUTHORS":"Good KL,Avery DT,Tangye SG.","GEOID":"GSE13411","EXACT_SOURCE":"GSE13411_1618_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive B cells versus IgM-memory B cells.","DESCRIPTION_FULL":"Enhanced secondary Ab responses are a vital component of adaptive immunity, yet little is understood about the intrinsic and extrinsic regulators of naive and memory B cells that results in differences in their responses to Ag. Microarray analysis, together with surface and intracellular phenotyping, revealed that memory B cells have increased expression of members of the TNF receptor, SLAM, B7 and Bcl2 families, as well as the TLR-related molecule CD180 (RP105). Accordingly, memory B cells exhibited enhanced survival, proliferation and Ig secretion, as well as entered division more rapidly than naïve B cells in response to both T-dependent and T-independent stimuli. Furthermore, both IgM and isotype switched memory B cells, but not naïve B cells, co-stimulated CD4+ T cells in vitro through a mechanism dependent on their constitutive expression of CD80 and CD86. This study demonstrates that upregulation of genes involved in activation, co-stimulation and survival provides memory B cells with a unique ability to produce enhanced immune responses and contributes to the maintenance of the memory B cell pool."}
{"STANDARD_NAME":"GSE13411_NAIVE_VS_IGM_MEMORY_BCELL_DN","SYSTEMATIC_NAME":"M3240","ORGANISM":"Homo sapiens","PMID":"19124732","AUTHORS":"Good KL,Avery DT,Tangye SG.","GEOID":"GSE13411","EXACT_SOURCE":"GSE13411_1618_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive B cells versus IgM-memory B cells.","DESCRIPTION_FULL":"Enhanced secondary Ab responses are a vital component of adaptive immunity, yet little is understood about the intrinsic and extrinsic regulators of naive and memory B cells that results in differences in their responses to Ag. Microarray analysis, together with surface and intracellular phenotyping, revealed that memory B cells have increased expression of members of the TNF receptor, SLAM, B7 and Bcl2 families, as well as the TLR-related molecule CD180 (RP105). Accordingly, memory B cells exhibited enhanced survival, proliferation and Ig secretion, as well as entered division more rapidly than naïve B cells in response to both T-dependent and T-independent stimuli. Furthermore, both IgM and isotype switched memory B cells, but not naïve B cells, co-stimulated CD4+ T cells in vitro through a mechanism dependent on their constitutive expression of CD80 and CD86. This study demonstrates that upregulation of genes involved in activation, co-stimulation and survival provides memory B cells with a unique ability to produce enhanced immune responses and contributes to the maintenance of the memory B cell pool."}
{"STANDARD_NAME":"GSE13411_NAIVE_VS_SWITCHED_MEMORY_BCELL_UP","SYSTEMATIC_NAME":"M3241","ORGANISM":"Homo sapiens","PMID":"19124732","AUTHORS":"Good KL,Avery DT,Tangye SG.","GEOID":"GSE13411","EXACT_SOURCE":"GSE13411_1619_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive B cells versus Ig isotype switched memory B cells.","DESCRIPTION_FULL":"Enhanced secondary Ab responses are a vital component of adaptive immunity, yet little is understood about the intrinsic and extrinsic regulators of naive and memory B cells that results in differences in their responses to Ag. Microarray analysis, together with surface and intracellular phenotyping, revealed that memory B cells have increased expression of members of the TNF receptor, SLAM, B7 and Bcl2 families, as well as the TLR-related molecule CD180 (RP105). Accordingly, memory B cells exhibited enhanced survival, proliferation and Ig secretion, as well as entered division more rapidly than naïve B cells in response to both T-dependent and T-independent stimuli. Furthermore, both IgM and isotype switched memory B cells, but not naïve B cells, co-stimulated CD4+ T cells in vitro through a mechanism dependent on their constitutive expression of CD80 and CD86. This study demonstrates that upregulation of genes involved in activation, co-stimulation and survival provides memory B cells with a unique ability to produce enhanced immune responses and contributes to the maintenance of the memory B cell pool."}
{"STANDARD_NAME":"GSE13411_NAIVE_VS_SWITCHED_MEMORY_BCELL_DN","SYSTEMATIC_NAME":"M3242","ORGANISM":"Homo sapiens","PMID":"19124732","AUTHORS":"Good KL,Avery DT,Tangye SG.","GEOID":"GSE13411","EXACT_SOURCE":"GSE13411_1619_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive B cells versus Ig isotype switched memory B cells.","DESCRIPTION_FULL":"Enhanced secondary Ab responses are a vital component of adaptive immunity, yet little is understood about the intrinsic and extrinsic regulators of naive and memory B cells that results in differences in their responses to Ag. Microarray analysis, together with surface and intracellular phenotyping, revealed that memory B cells have increased expression of members of the TNF receptor, SLAM, B7 and Bcl2 families, as well as the TLR-related molecule CD180 (RP105). Accordingly, memory B cells exhibited enhanced survival, proliferation and Ig secretion, as well as entered division more rapidly than naïve B cells in response to both T-dependent and T-independent stimuli. Furthermore, both IgM and isotype switched memory B cells, but not naïve B cells, co-stimulated CD4+ T cells in vitro through a mechanism dependent on their constitutive expression of CD80 and CD86. This study demonstrates that upregulation of genes involved in activation, co-stimulation and survival provides memory B cells with a unique ability to produce enhanced immune responses and contributes to the maintenance of the memory B cell pool."}
{"STANDARD_NAME":"GSE13411_NAIVE_BCELL_VS_PLASMA_CELL_UP","SYSTEMATIC_NAME":"M3243","ORGANISM":"Homo sapiens","PMID":"19124732","AUTHORS":"Good KL,Avery DT,Tangye SG.","GEOID":"GSE13411","EXACT_SOURCE":"GSE13411_1620_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive B cells versus plasma cells.","DESCRIPTION_FULL":"Enhanced secondary Ab responses are a vital component of adaptive immunity, yet little is understood about the intrinsic and extrinsic regulators of naive and memory B cells that results in differences in their responses to Ag. Microarray analysis, together with surface and intracellular phenotyping, revealed that memory B cells have increased expression of members of the TNF receptor, SLAM, B7 and Bcl2 families, as well as the TLR-related molecule CD180 (RP105). Accordingly, memory B cells exhibited enhanced survival, proliferation and Ig secretion, as well as entered division more rapidly than naïve B cells in response to both T-dependent and T-independent stimuli. Furthermore, both IgM and isotype switched memory B cells, but not naïve B cells, co-stimulated CD4+ T cells in vitro through a mechanism dependent on their constitutive expression of CD80 and CD86. This study demonstrates that upregulation of genes involved in activation, co-stimulation and survival provides memory B cells with a unique ability to produce enhanced immune responses and contributes to the maintenance of the memory B cell pool."}
{"STANDARD_NAME":"GSE13411_NAIVE_BCELL_VS_PLASMA_CELL_DN","SYSTEMATIC_NAME":"M3244","ORGANISM":"Homo sapiens","PMID":"19124732","AUTHORS":"Good KL,Avery DT,Tangye SG.","GEOID":"GSE13411","EXACT_SOURCE":"GSE13411_1620_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive B cells versus plasma cells.","DESCRIPTION_FULL":"Enhanced secondary Ab responses are a vital component of adaptive immunity, yet little is understood about the intrinsic and extrinsic regulators of naive and memory B cells that results in differences in their responses to Ag. Microarray analysis, together with surface and intracellular phenotyping, revealed that memory B cells have increased expression of members of the TNF receptor, SLAM, B7 and Bcl2 families, as well as the TLR-related molecule CD180 (RP105). Accordingly, memory B cells exhibited enhanced survival, proliferation and Ig secretion, as well as entered division more rapidly than naïve B cells in response to both T-dependent and T-independent stimuli. Furthermore, both IgM and isotype switched memory B cells, but not naïve B cells, co-stimulated CD4+ T cells in vitro through a mechanism dependent on their constitutive expression of CD80 and CD86. This study demonstrates that upregulation of genes involved in activation, co-stimulation and survival provides memory B cells with a unique ability to produce enhanced immune responses and contributes to the maintenance of the memory B cell pool."}
{"STANDARD_NAME":"GSE13411_NAIVE_VS_MEMORY_BCELL_UP","SYSTEMATIC_NAME":"M3245","ORGANISM":"Homo sapiens","PMID":"19124732","AUTHORS":"Good KL,Avery DT,Tangye SG.","GEOID":"GSE13411","EXACT_SOURCE":"GSE13411_1621_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive B cells versus memory B cells.","DESCRIPTION_FULL":"Enhanced secondary Ab responses are a vital component of adaptive immunity, yet little is understood about the intrinsic and extrinsic regulators of naive and memory B cells that results in differences in their responses to Ag. Microarray analysis, together with surface and intracellular phenotyping, revealed that memory B cells have increased expression of members of the TNF receptor, SLAM, B7 and Bcl2 families, as well as the TLR-related molecule CD180 (RP105). Accordingly, memory B cells exhibited enhanced survival, proliferation and Ig secretion, as well as entered division more rapidly than naïve B cells in response to both T-dependent and T-independent stimuli. Furthermore, both IgM and isotype switched memory B cells, but not naïve B cells, co-stimulated CD4+ T cells in vitro through a mechanism dependent on their constitutive expression of CD80 and CD86. This study demonstrates that upregulation of genes involved in activation, co-stimulation and survival provides memory B cells with a unique ability to produce enhanced immune responses and contributes to the maintenance of the memory B cell pool."}
{"STANDARD_NAME":"GSE13411_NAIVE_VS_MEMORY_BCELL_DN","SYSTEMATIC_NAME":"M3246","ORGANISM":"Homo sapiens","PMID":"19124732","AUTHORS":"Good KL,Avery DT,Tangye SG.","GEOID":"GSE13411","EXACT_SOURCE":"GSE13411_1621_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive B cells versus memory B cells.","DESCRIPTION_FULL":"Enhanced secondary Ab responses are a vital component of adaptive immunity, yet little is understood about the intrinsic and extrinsic regulators of naive and memory B cells that results in differences in their responses to Ag. Microarray analysis, together with surface and intracellular phenotyping, revealed that memory B cells have increased expression of members of the TNF receptor, SLAM, B7 and Bcl2 families, as well as the TLR-related molecule CD180 (RP105). Accordingly, memory B cells exhibited enhanced survival, proliferation and Ig secretion, as well as entered division more rapidly than naïve B cells in response to both T-dependent and T-independent stimuli. Furthermore, both IgM and isotype switched memory B cells, but not naïve B cells, co-stimulated CD4+ T cells in vitro through a mechanism dependent on their constitutive expression of CD80 and CD86. This study demonstrates that upregulation of genes involved in activation, co-stimulation and survival provides memory B cells with a unique ability to produce enhanced immune responses and contributes to the maintenance of the memory B cell pool."}
{"STANDARD_NAME":"GSE13411_IGM_VS_SWITCHED_MEMORY_BCELL_UP","SYSTEMATIC_NAME":"M3247","ORGANISM":"Homo sapiens","PMID":"19124732","AUTHORS":"Good KL,Avery DT,Tangye SG.","GEOID":"GSE13411","EXACT_SOURCE":"GSE13411_1622_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of IgM-memory B cells versus Ig isotype switched memory B cells.","DESCRIPTION_FULL":"Enhanced secondary Ab responses are a vital component of adaptive immunity, yet little is understood about the intrinsic and extrinsic regulators of naive and memory B cells that results in differences in their responses to Ag. Microarray analysis, together with surface and intracellular phenotyping, revealed that memory B cells have increased expression of members of the TNF receptor, SLAM, B7 and Bcl2 families, as well as the TLR-related molecule CD180 (RP105). Accordingly, memory B cells exhibited enhanced survival, proliferation and Ig secretion, as well as entered division more rapidly than naïve B cells in response to both T-dependent and T-independent stimuli. Furthermore, both IgM and isotype switched memory B cells, but not naïve B cells, co-stimulated CD4+ T cells in vitro through a mechanism dependent on their constitutive expression of CD80 and CD86. This study demonstrates that upregulation of genes involved in activation, co-stimulation and survival provides memory B cells with a unique ability to produce enhanced immune responses and contributes to the maintenance of the memory B cell pool."}
{"STANDARD_NAME":"GSE13411_IGM_VS_SWITCHED_MEMORY_BCELL_DN","SYSTEMATIC_NAME":"M3248","ORGANISM":"Homo sapiens","PMID":"19124732","AUTHORS":"Good KL,Avery DT,Tangye SG.","GEOID":"GSE13411","EXACT_SOURCE":"GSE13411_1622_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of IgM-memory B cells versus Ig isotype switched memory B cells.","DESCRIPTION_FULL":"Enhanced secondary Ab responses are a vital component of adaptive immunity, yet little is understood about the intrinsic and extrinsic regulators of naive and memory B cells that results in differences in their responses to Ag. Microarray analysis, together with surface and intracellular phenotyping, revealed that memory B cells have increased expression of members of the TNF receptor, SLAM, B7 and Bcl2 families, as well as the TLR-related molecule CD180 (RP105). Accordingly, memory B cells exhibited enhanced survival, proliferation and Ig secretion, as well as entered division more rapidly than naïve B cells in response to both T-dependent and T-independent stimuli. Furthermore, both IgM and isotype switched memory B cells, but not naïve B cells, co-stimulated CD4+ T cells in vitro through a mechanism dependent on their constitutive expression of CD80 and CD86. This study demonstrates that upregulation of genes involved in activation, co-stimulation and survival provides memory B cells with a unique ability to produce enhanced immune responses and contributes to the maintenance of the memory B cell pool."}
{"STANDARD_NAME":"GSE13411_IGM_MEMORY_BCELL_VS_PLASMA_CELL_UP","SYSTEMATIC_NAME":"M3249","ORGANISM":"Homo sapiens","PMID":"19124732","AUTHORS":"Good KL,Avery DT,Tangye SG.","GEOID":"GSE13411","EXACT_SOURCE":"GSE13411_1623_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of IgM-memory B cells versus plasma cells.","DESCRIPTION_FULL":"Enhanced secondary Ab responses are a vital component of adaptive immunity, yet little is understood about the intrinsic and extrinsic regulators of naive and memory B cells that results in differences in their responses to Ag. Microarray analysis, together with surface and intracellular phenotyping, revealed that memory B cells have increased expression of members of the TNF receptor, SLAM, B7 and Bcl2 families, as well as the TLR-related molecule CD180 (RP105). Accordingly, memory B cells exhibited enhanced survival, proliferation and Ig secretion, as well as entered division more rapidly than naïve B cells in response to both T-dependent and T-independent stimuli. Furthermore, both IgM and isotype switched memory B cells, but not naïve B cells, co-stimulated CD4+ T cells in vitro through a mechanism dependent on their constitutive expression of CD80 and CD86. This study demonstrates that upregulation of genes involved in activation, co-stimulation and survival provides memory B cells with a unique ability to produce enhanced immune responses and contributes to the maintenance of the memory B cell pool."}
{"STANDARD_NAME":"GSE13411_IGM_MEMORY_BCELL_VS_PLASMA_CELL_DN","SYSTEMATIC_NAME":"M3250","ORGANISM":"Homo sapiens","PMID":"19124732","AUTHORS":"Good KL,Avery DT,Tangye SG.","GEOID":"GSE13411","EXACT_SOURCE":"GSE13411_1623_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of IgM-memory B cells versus plasma cells.","DESCRIPTION_FULL":"Enhanced secondary Ab responses are a vital component of adaptive immunity, yet little is understood about the intrinsic and extrinsic regulators of naive and memory B cells that results in differences in their responses to Ag. Microarray analysis, together with surface and intracellular phenotyping, revealed that memory B cells have increased expression of members of the TNF receptor, SLAM, B7 and Bcl2 families, as well as the TLR-related molecule CD180 (RP105). Accordingly, memory B cells exhibited enhanced survival, proliferation and Ig secretion, as well as entered division more rapidly than naïve B cells in response to both T-dependent and T-independent stimuli. Furthermore, both IgM and isotype switched memory B cells, but not naïve B cells, co-stimulated CD4+ T cells in vitro through a mechanism dependent on their constitutive expression of CD80 and CD86. This study demonstrates that upregulation of genes involved in activation, co-stimulation and survival provides memory B cells with a unique ability to produce enhanced immune responses and contributes to the maintenance of the memory B cell pool."}
{"STANDARD_NAME":"GSE13411_SWITCHED_MEMORY_BCELL_VS_PLASMA_CELL_UP","SYSTEMATIC_NAME":"M3251","ORGANISM":"Homo sapiens","PMID":"19124732","AUTHORS":"Good KL,Avery DT,Tangye SG.","GEOID":"GSE13411","EXACT_SOURCE":"GSE13411_1624_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of Ig isotype switched memory B cells versus plasma cells.","DESCRIPTION_FULL":"Enhanced secondary Ab responses are a vital component of adaptive immunity, yet little is understood about the intrinsic and extrinsic regulators of naive and memory B cells that results in differences in their responses to Ag. Microarray analysis, together with surface and intracellular phenotyping, revealed that memory B cells have increased expression of members of the TNF receptor, SLAM, B7 and Bcl2 families, as well as the TLR-related molecule CD180 (RP105). Accordingly, memory B cells exhibited enhanced survival, proliferation and Ig secretion, as well as entered division more rapidly than naïve B cells in response to both T-dependent and T-independent stimuli. Furthermore, both IgM and isotype switched memory B cells, but not naïve B cells, co-stimulated CD4+ T cells in vitro through a mechanism dependent on their constitutive expression of CD80 and CD86. This study demonstrates that upregulation of genes involved in activation, co-stimulation and survival provides memory B cells with a unique ability to produce enhanced immune responses and contributes to the maintenance of the memory B cell pool."}
{"STANDARD_NAME":"GSE13411_SWITCHED_MEMORY_BCELL_VS_PLASMA_CELL_DN","SYSTEMATIC_NAME":"M3252","ORGANISM":"Homo sapiens","PMID":"19124732","AUTHORS":"Good KL,Avery DT,Tangye SG.","GEOID":"GSE13411","EXACT_SOURCE":"GSE13411_1624_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of Ig isotype switched memory B cells versus plasma cells.","DESCRIPTION_FULL":"Enhanced secondary Ab responses are a vital component of adaptive immunity, yet little is understood about the intrinsic and extrinsic regulators of naive and memory B cells that results in differences in their responses to Ag. Microarray analysis, together with surface and intracellular phenotyping, revealed that memory B cells have increased expression of members of the TNF receptor, SLAM, B7 and Bcl2 families, as well as the TLR-related molecule CD180 (RP105). Accordingly, memory B cells exhibited enhanced survival, proliferation and Ig secretion, as well as entered division more rapidly than naïve B cells in response to both T-dependent and T-independent stimuli. Furthermore, both IgM and isotype switched memory B cells, but not naïve B cells, co-stimulated CD4+ T cells in vitro through a mechanism dependent on their constitutive expression of CD80 and CD86. This study demonstrates that upregulation of genes involved in activation, co-stimulation and survival provides memory B cells with a unique ability to produce enhanced immune responses and contributes to the maintenance of the memory B cell pool."}
{"STANDARD_NAME":"GSE13411_PLASMA_CELL_VS_MEMORY_BCELL_UP","SYSTEMATIC_NAME":"M3253","ORGANISM":"Homo sapiens","PMID":"19124732","AUTHORS":"Good KL,Avery DT,Tangye SG.","GEOID":"GSE13411","EXACT_SOURCE":"GSE13411_1625_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of plasma cells versus memory B cells.","DESCRIPTION_FULL":"Enhanced secondary Ab responses are a vital component of adaptive immunity, yet little is understood about the intrinsic and extrinsic regulators of naive and memory B cells that results in differences in their responses to Ag. Microarray analysis, together with surface and intracellular phenotyping, revealed that memory B cells have increased expression of members of the TNF receptor, SLAM, B7 and Bcl2 families, as well as the TLR-related molecule CD180 (RP105). Accordingly, memory B cells exhibited enhanced survival, proliferation and Ig secretion, as well as entered division more rapidly than naïve B cells in response to both T-dependent and T-independent stimuli. Furthermore, both IgM and isotype switched memory B cells, but not naïve B cells, co-stimulated CD4+ T cells in vitro through a mechanism dependent on their constitutive expression of CD80 and CD86. This study demonstrates that upregulation of genes involved in activation, co-stimulation and survival provides memory B cells with a unique ability to produce enhanced immune responses and contributes to the maintenance of the memory B cell pool."}
{"STANDARD_NAME":"GSE13411_PLASMA_CELL_VS_MEMORY_BCELL_DN","SYSTEMATIC_NAME":"M3255","ORGANISM":"Homo sapiens","PMID":"19124732","AUTHORS":"Good KL,Avery DT,Tangye SG.","GEOID":"GSE13411","EXACT_SOURCE":"GSE13411_1625_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of plasma cells versus memory B cells.","DESCRIPTION_FULL":"Enhanced secondary Ab responses are a vital component of adaptive immunity, yet little is understood about the intrinsic and extrinsic regulators of naive and memory B cells that results in differences in their responses to Ag. Microarray analysis, together with surface and intracellular phenotyping, revealed that memory B cells have increased expression of members of the TNF receptor, SLAM, B7 and Bcl2 families, as well as the TLR-related molecule CD180 (RP105). Accordingly, memory B cells exhibited enhanced survival, proliferation and Ig secretion, as well as entered division more rapidly than naïve B cells in response to both T-dependent and T-independent stimuli. Furthermore, both IgM and isotype switched memory B cells, but not naïve B cells, co-stimulated CD4+ T cells in vitro through a mechanism dependent on their constitutive expression of CD80 and CD86. This study demonstrates that upregulation of genes involved in activation, co-stimulation and survival provides memory B cells with a unique ability to produce enhanced immune responses and contributes to the maintenance of the memory B cell pool."}
{"STANDARD_NAME":"GSE13484_UNSTIM_VS_3H_YF17D_VACCINE_STIM_PBMC_UP","SYSTEMATIC_NAME":"M3257","ORGANISM":"Homo sapiens","PMID":"19029902","AUTHORS":"Querec TD,Akondy RS,Lee EK,Cao W,Nakaya HI,Teuwen D,Pirani A,Gernert K,Deng J,Marzolf B,Kennedy K,Wu H,Bennouna S,Oluoch H,Miller J,Vencio RZ,Mulligan M,Aderem A,Ahmed R,Pulendran B.","GEOID":"GSE13484","EXACT_SOURCE":"GSE13484_2209_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of unstimulated peripheral blood mononuclear cells (PBMC) cultured for 0 h versus PBMC cultured for 3 h with YF17D vaccine.","DESCRIPTION_FULL":"The immune responses generated by YF-17D by profiling 11,639 genes in PBMCs from 2 donors cultured with YF-17D vaccine were accessed after 3 and 12 hours."}
{"STANDARD_NAME":"GSE13484_UNSTIM_VS_3H_YF17D_VACCINE_STIM_PBMC_DN","SYSTEMATIC_NAME":"M3260","ORGANISM":"Homo sapiens","PMID":"19029902","AUTHORS":"Querec TD,Akondy RS,Lee EK,Cao W,Nakaya HI,Teuwen D,Pirani A,Gernert K,Deng J,Marzolf B,Kennedy K,Wu H,Bennouna S,Oluoch H,Miller J,Vencio RZ,Mulligan M,Aderem A,Ahmed R,Pulendran B.","GEOID":"GSE13484","EXACT_SOURCE":"GSE13484_2209_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of unstimulated peripheral blood mononuclear cells (PBMC) cultured for 0 h versus PBMC cultured for 3 h with YF17D vaccine.","DESCRIPTION_FULL":"The immune responses generated by YF-17D by profiling 11,639 genes in PBMCs from 2 donors cultured with YF-17D vaccine were accessed after 3 and 12 hours."}
{"STANDARD_NAME":"GSE13484_UNSTIM_VS_12H_YF17D_VACCINE_STIM_PBMC_UP","SYSTEMATIC_NAME":"M3262","ORGANISM":"Homo sapiens","PMID":"19029902","AUTHORS":"Querec TD,Akondy RS,Lee EK,Cao W,Nakaya HI,Teuwen D,Pirani A,Gernert K,Deng J,Marzolf B,Kennedy K,Wu H,Bennouna S,Oluoch H,Miller J,Vencio RZ,Mulligan M,Aderem A,Ahmed R,Pulendran B.","GEOID":"GSE13484","EXACT_SOURCE":"GSE13484_2210_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of unstimulated peripheral blood mononuclear cells (PBMC) cultured for 0 h versus PBMC cultured for 12 h with YF17D vaccine.","DESCRIPTION_FULL":"The immune responses generated by YF-17D by profiling 11,639 genes in PBMCs from 2 donors cultured with YF-17D vaccine were accessed after 3 and 12 hours."}
{"STANDARD_NAME":"GSE13484_UNSTIM_VS_12H_YF17D_VACCINE_STIM_PBMC_DN","SYSTEMATIC_NAME":"M3264","ORGANISM":"Homo sapiens","PMID":"19029902","AUTHORS":"Querec TD,Akondy RS,Lee EK,Cao W,Nakaya HI,Teuwen D,Pirani A,Gernert K,Deng J,Marzolf B,Kennedy K,Wu H,Bennouna S,Oluoch H,Miller J,Vencio RZ,Mulligan M,Aderem A,Ahmed R,Pulendran B.","GEOID":"GSE13484","EXACT_SOURCE":"GSE13484_2210_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of unstimulated peripheral blood mononuclear cells (PBMC) cultured for 0 h versus PBMC cultured for 12 h with YF17D vaccine.","DESCRIPTION_FULL":"The immune responses generated by YF-17D by profiling 11,639 genes in PBMCs from 2 donors cultured with YF-17D vaccine were accessed after 3 and 12 hours."}
{"STANDARD_NAME":"GSE13484_3H_UNSTIM_VS_YF17D_VACCINE_STIM_PBMC_UP","SYSTEMATIC_NAME":"M3266","ORGANISM":"Homo sapiens","PMID":"19029902","AUTHORS":"Querec TD,Akondy RS,Lee EK,Cao W,Nakaya HI,Teuwen D,Pirani A,Gernert K,Deng J,Marzolf B,Kennedy K,Wu H,Bennouna S,Oluoch H,Miller J,Vencio RZ,Mulligan M,Aderem A,Ahmed R,Pulendran B.","GEOID":"GSE13484","EXACT_SOURCE":"GSE13484_2211_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of unstimulated peripheral blood mononuclear cells (PBMC) cultured for 3 h versus PBMC cultured for 3 h with YF17D vaccine.","DESCRIPTION_FULL":"The immune responses generated by YF-17D by profiling 11,639 genes in PBMCs from 2 donors cultured with YF-17D vaccine were accessed after 3 and 12 hours."}
{"STANDARD_NAME":"GSE13484_3H_UNSTIM_VS_YF17D_VACCINE_STIM_PBMC_DN","SYSTEMATIC_NAME":"M3267","ORGANISM":"Homo sapiens","PMID":"19029902","AUTHORS":"Querec TD,Akondy RS,Lee EK,Cao W,Nakaya HI,Teuwen D,Pirani A,Gernert K,Deng J,Marzolf B,Kennedy K,Wu H,Bennouna S,Oluoch H,Miller J,Vencio RZ,Mulligan M,Aderem A,Ahmed R,Pulendran B.","GEOID":"GSE13484","EXACT_SOURCE":"GSE13484_2211_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of unstimulated peripheral blood mononuclear cells (PBMC) cultured for 3 h versus PBMC cultured for 3 h with YF17D vaccine.","DESCRIPTION_FULL":"The immune responses generated by YF-17D by profiling 11,639 genes in PBMCs from 2 donors cultured with YF-17D vaccine were accessed after 3 and 12 hours."}
{"STANDARD_NAME":"GSE13484_12H_UNSTIM_VS_YF17D_VACCINE_STIM_PBMC_UP","SYSTEMATIC_NAME":"M3271","ORGANISM":"Homo sapiens","PMID":"19029902","AUTHORS":"Querec TD,Akondy RS,Lee EK,Cao W,Nakaya HI,Teuwen D,Pirani A,Gernert K,Deng J,Marzolf B,Kennedy K,Wu H,Bennouna S,Oluoch H,Miller J,Vencio RZ,Mulligan M,Aderem A,Ahmed R,Pulendran B.","GEOID":"GSE13484","EXACT_SOURCE":"GSE13484_2212_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of unstimulated peripheral blood mononuclear cells (PBMC) cultured for 12 h versus PBMC cultured for 12 h with YF17D vaccine.","DESCRIPTION_FULL":"The immune responses generated by YF-17D by profiling 11,639 genes in PBMCs from 2 donors cultured with YF-17D vaccine were accessed after 3 and 12 hours."}
{"STANDARD_NAME":"GSE13484_12H_UNSTIM_VS_YF17D_VACCINE_STIM_PBMC_DN","SYSTEMATIC_NAME":"M3273","ORGANISM":"Homo sapiens","PMID":"19029902","AUTHORS":"Querec TD,Akondy RS,Lee EK,Cao W,Nakaya HI,Teuwen D,Pirani A,Gernert K,Deng J,Marzolf B,Kennedy K,Wu H,Bennouna S,Oluoch H,Miller J,Vencio RZ,Mulligan M,Aderem A,Ahmed R,Pulendran B.","GEOID":"GSE13484","EXACT_SOURCE":"GSE13484_2212_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of unstimulated peripheral blood mononuclear cells (PBMC) cultured for 12 h versus PBMC cultured for 12 h with YF17D vaccine.","DESCRIPTION_FULL":"The immune responses generated by YF-17D by profiling 11,639 genes in PBMCs from 2 donors cultured with YF-17D vaccine were accessed after 3 and 12 hours."}
{"STANDARD_NAME":"GSE13484_12H_VS_3H_YF17D_VACCINE_STIM_PBMC_UP","SYSTEMATIC_NAME":"M3275","ORGANISM":"Homo sapiens","PMID":"19029902","AUTHORS":"Querec TD,Akondy RS,Lee EK,Cao W,Nakaya HI,Teuwen D,Pirani A,Gernert K,Deng J,Marzolf B,Kennedy K,Wu H,Bennouna S,Oluoch H,Miller J,Vencio RZ,Mulligan M,Aderem A,Ahmed R,Pulendran B.","GEOID":"GSE13484","EXACT_SOURCE":"GSE13484_2213_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of peripheral blood mononuclear cells (PBMC) cultured with YF17D vaccine for 12 h versus PBMC cultured for 3 h.","DESCRIPTION_FULL":"The immune responses generated by YF-17D by profiling 11,639 genes in PBMCs from 2 donors cultured with YF-17D vaccine were accessed after 3 and 12 hours."}
{"STANDARD_NAME":"GSE13484_12H_VS_3H_YF17D_VACCINE_STIM_PBMC_DN","SYSTEMATIC_NAME":"M3276","ORGANISM":"Homo sapiens","PMID":"19029902","AUTHORS":"Querec TD,Akondy RS,Lee EK,Cao W,Nakaya HI,Teuwen D,Pirani A,Gernert K,Deng J,Marzolf B,Kennedy K,Wu H,Bennouna S,Oluoch H,Miller J,Vencio RZ,Mulligan M,Aderem A,Ahmed R,Pulendran B.","GEOID":"GSE13484","EXACT_SOURCE":"GSE13484_2213_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of peripheral blood mononuclear cells (PBMC) cultured with YF17D vaccine for 12 h versus PBMC cultured for 3 h.","DESCRIPTION_FULL":"The immune responses generated by YF-17D by profiling 11,639 genes in PBMCs from 2 donors cultured with YF-17D vaccine were accessed after 3 and 12 hours."}
{"STANDARD_NAME":"GSE13484_UNSTIM_VS_YF17D_VACCINE_STIM_PBMC_UP","SYSTEMATIC_NAME":"M3277","ORGANISM":"Homo sapiens","PMID":"19029902","AUTHORS":"Querec TD,Akondy RS,Lee EK,Cao W,Nakaya HI,Teuwen D,Pirani A,Gernert K,Deng J,Marzolf B,Kennedy K,Wu H,Bennouna S,Oluoch H,Miller J,Vencio RZ,Mulligan M,Aderem A,Ahmed R,Pulendran B.","GEOID":"GSE13484","EXACT_SOURCE":"GSE13484_2214_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of unstimulated peripheral blood mononuclear cells (PBMC) versus PBMC stimulated with YF17D vaccine.","DESCRIPTION_FULL":"The immune responses generated by YF-17D by profiling 11,639 genes in PBMCs from 2 donors cultured with YF-17D vaccine were accessed after 3 and 12 hours."}
{"STANDARD_NAME":"GSE13484_UNSTIM_VS_YF17D_VACCINE_STIM_PBMC_DN","SYSTEMATIC_NAME":"M3279","ORGANISM":"Homo sapiens","PMID":"19029902","AUTHORS":"Querec TD,Akondy RS,Lee EK,Cao W,Nakaya HI,Teuwen D,Pirani A,Gernert K,Deng J,Marzolf B,Kennedy K,Wu H,Bennouna S,Oluoch H,Miller J,Vencio RZ,Mulligan M,Aderem A,Ahmed R,Pulendran B.","GEOID":"GSE13484","EXACT_SOURCE":"GSE13484_2214_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of unstimulated peripheral blood mononuclear cells (PBMC) versus PBMC stimulated with YF17D vaccine.","DESCRIPTION_FULL":"The immune responses generated by YF-17D by profiling 11,639 genes in PBMCs from 2 donors cultured with YF-17D vaccine were accessed after 3 and 12 hours."}
{"STANDARD_NAME":"GSE13485_CTRL_VS_DAY1_YF17D_VACCINE_PBMC_UP","SYSTEMATIC_NAME":"M3280","ORGANISM":"Homo sapiens","PMID":"19029902","AUTHORS":"Querec TD,Akondy RS,Lee EK,Cao W,Nakaya HI,Teuwen D,Pirani A,Gernert K,Deng J,Marzolf B,Kennedy K,Wu H,Bennouna S,Oluoch H,Miller J,Vencio RZ,Mulligan M,Aderem A,Ahmed R,Pulendran B.","GEOID":"GSE13485","EXACT_SOURCE":"GSE13485_2215_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of unstimulated peripheral blood mononuclear cells (PBMC) versus PBMC 1 day after stimulation with YF17D vaccine.","DESCRIPTION_FULL":"The immune responses generated by YF-17D by profiling 20,077 genes in 25 vaccine recipients were accessed at days 1, 3, 7, and 21 post-vaccination compared to pre-vaccination in PBMCs. The immune responses generated by YF-17D by profiling 20,077 genes in 25 vaccine recipients were accessed at days 1, 3, 7, and 21 post-vaccination compared to pre-vaccination in PBMCs."}
{"STANDARD_NAME":"GSE13485_CTRL_VS_DAY1_YF17D_VACCINE_PBMC_DN","SYSTEMATIC_NAME":"M3281","ORGANISM":"Homo sapiens","PMID":"19029902","AUTHORS":"Querec TD,Akondy RS,Lee EK,Cao W,Nakaya HI,Teuwen D,Pirani A,Gernert K,Deng J,Marzolf B,Kennedy K,Wu H,Bennouna S,Oluoch H,Miller J,Vencio RZ,Mulligan M,Aderem A,Ahmed R,Pulendran B.","GEOID":"GSE13485","EXACT_SOURCE":"GSE13485_2215_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of unstimulated peripheral blood mononuclear cells (PBMC) versus PBMC 1 day after stimulation with YF17D vaccine.","DESCRIPTION_FULL":"The immune responses generated by YF-17D by profiling 20,077 genes in 25 vaccine recipients were accessed at days 1, 3, 7, and 21 post-vaccination compared to pre-vaccination in PBMCs. The immune responses generated by YF-17D by profiling 20,077 genes in 25 vaccine recipients were accessed at days 1, 3, 7, and 21 post-vaccination compared to pre-vaccination in PBMCs."}
{"STANDARD_NAME":"GSE13485_CTRL_VS_DAY3_YF17D_VACCINE_PBMC_UP","SYSTEMATIC_NAME":"M3282","ORGANISM":"Homo sapiens","PMID":"19029902","AUTHORS":"Querec TD,Akondy RS,Lee EK,Cao W,Nakaya HI,Teuwen D,Pirani A,Gernert K,Deng J,Marzolf B,Kennedy K,Wu H,Bennouna S,Oluoch H,Miller J,Vencio RZ,Mulligan M,Aderem A,Ahmed R,Pulendran B.","GEOID":"GSE13485","EXACT_SOURCE":"GSE13485_2216_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of unstimulated peripheral blood mononuclear cells (PBMC) versus PBMC 3 days after stimulation with YF17D vaccine.","DESCRIPTION_FULL":"The immune responses generated by YF-17D by profiling 20,077 genes in 25 vaccine recipients were accessed at days 1, 3, 7, and 21 post-vaccination compared to pre-vaccination in PBMCs. The immune responses generated by YF-17D by profiling 20,077 genes in 25 vaccine recipients were accessed at days 1, 3, 7, and 21 post-vaccination compared to pre-vaccination in PBMCs."}
{"STANDARD_NAME":"GSE13485_CTRL_VS_DAY3_YF17D_VACCINE_PBMC_DN","SYSTEMATIC_NAME":"M3286","ORGANISM":"Homo sapiens","PMID":"19029902","AUTHORS":"Querec TD,Akondy RS,Lee EK,Cao W,Nakaya HI,Teuwen D,Pirani A,Gernert K,Deng J,Marzolf B,Kennedy K,Wu H,Bennouna S,Oluoch H,Miller J,Vencio RZ,Mulligan M,Aderem A,Ahmed R,Pulendran B.","GEOID":"GSE13485","EXACT_SOURCE":"GSE13485_2216_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of unstimulated peripheral blood mononuclear cells (PBMC) versus PBMC 3 days after stimulation with YF17D vaccine.","DESCRIPTION_FULL":"The immune responses generated by YF-17D by profiling 20,077 genes in 25 vaccine recipients were accessed at days 1, 3, 7, and 21 post-vaccination compared to pre-vaccination in PBMCs. The immune responses generated by YF-17D by profiling 20,077 genes in 25 vaccine recipients were accessed at days 1, 3, 7, and 21 post-vaccination compared to pre-vaccination in PBMCs."}
{"STANDARD_NAME":"GSE13485_CTRL_VS_DAY7_YF17D_VACCINE_PBMC_UP","SYSTEMATIC_NAME":"M3287","ORGANISM":"Homo sapiens","PMID":"19029902","AUTHORS":"Querec TD,Akondy RS,Lee EK,Cao W,Nakaya HI,Teuwen D,Pirani A,Gernert K,Deng J,Marzolf B,Kennedy K,Wu H,Bennouna S,Oluoch H,Miller J,Vencio RZ,Mulligan M,Aderem A,Ahmed R,Pulendran B.","GEOID":"GSE13485","EXACT_SOURCE":"GSE13485_2217_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of unstimulated peripheral blood mononuclear cells (PBMC) versus PBMC 7 days after stimulation with YF17D vaccine.","DESCRIPTION_FULL":"The immune responses generated by YF-17D by profiling 20,077 genes in 25 vaccine recipients were accessed at days 1, 3, 7, and 21 post-vaccination compared to pre-vaccination in PBMCs. The immune responses generated by YF-17D by profiling 20,077 genes in 25 vaccine recipients were accessed at days 1, 3, 7, and 21 post-vaccination compared to pre-vaccination in PBMCs."}
{"STANDARD_NAME":"GSE13485_CTRL_VS_DAY7_YF17D_VACCINE_PBMC_DN","SYSTEMATIC_NAME":"M3288","ORGANISM":"Homo sapiens","PMID":"19029902","AUTHORS":"Querec TD,Akondy RS,Lee EK,Cao W,Nakaya HI,Teuwen D,Pirani A,Gernert K,Deng J,Marzolf B,Kennedy K,Wu H,Bennouna S,Oluoch H,Miller J,Vencio RZ,Mulligan M,Aderem A,Ahmed R,Pulendran B.","GEOID":"GSE13485","EXACT_SOURCE":"GSE13485_2217_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of unstimulated peripheral blood mononuclear cells (PBMC) versus PBMC 7 days after stimulation with YF17D vaccine.","DESCRIPTION_FULL":"The immune responses generated by YF-17D by profiling 20,077 genes in 25 vaccine recipients were accessed at days 1, 3, 7, and 21 post-vaccination compared to pre-vaccination in PBMCs. The immune responses generated by YF-17D by profiling 20,077 genes in 25 vaccine recipients were accessed at days 1, 3, 7, and 21 post-vaccination compared to pre-vaccination in PBMCs."}
{"STANDARD_NAME":"GSE13485_CTRL_VS_DAY21_YF17D_VACCINE_PBMC_UP","SYSTEMATIC_NAME":"M3289","ORGANISM":"Homo sapiens","PMID":"19029902","AUTHORS":"Querec TD,Akondy RS,Lee EK,Cao W,Nakaya HI,Teuwen D,Pirani A,Gernert K,Deng J,Marzolf B,Kennedy K,Wu H,Bennouna S,Oluoch H,Miller J,Vencio RZ,Mulligan M,Aderem A,Ahmed R,Pulendran B.","GEOID":"GSE13485","EXACT_SOURCE":"GSE13485_2218_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of unstimulated peripheral blood mononuclear cells (PBMC) versus PBMC 21 days after stimulation with YF17D vaccine.","DESCRIPTION_FULL":"The immune responses generated by YF-17D by profiling 20,077 genes in 25 vaccine recipients were accessed at days 1, 3, 7, and 21 post-vaccination compared to pre-vaccination in PBMCs. The immune responses generated by YF-17D by profiling 20,077 genes in 25 vaccine recipients were accessed at days 1, 3, 7, and 21 post-vaccination compared to pre-vaccination in PBMCs."}
{"STANDARD_NAME":"GSE13485_CTRL_VS_DAY21_YF17D_VACCINE_PBMC_DN","SYSTEMATIC_NAME":"M3290","ORGANISM":"Homo sapiens","PMID":"19029902","AUTHORS":"Querec TD,Akondy RS,Lee EK,Cao W,Nakaya HI,Teuwen D,Pirani A,Gernert K,Deng J,Marzolf B,Kennedy K,Wu H,Bennouna S,Oluoch H,Miller J,Vencio RZ,Mulligan M,Aderem A,Ahmed R,Pulendran B.","GEOID":"GSE13485","EXACT_SOURCE":"GSE13485_2218_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of unstimulated peripheral blood mononuclear cells (PBMC) versus PBMC 21 days after stimulation with YF17D vaccine.","DESCRIPTION_FULL":"The immune responses generated by YF-17D by profiling 20,077 genes in 25 vaccine recipients were accessed at days 1, 3, 7, and 21 post-vaccination compared to pre-vaccination in PBMCs. The immune responses generated by YF-17D by profiling 20,077 genes in 25 vaccine recipients were accessed at days 1, 3, 7, and 21 post-vaccination compared to pre-vaccination in PBMCs."}
{"STANDARD_NAME":"GSE13485_DAY1_VS_DAY3_YF17D_VACCINE_PBMC_UP","SYSTEMATIC_NAME":"M3291","ORGANISM":"Homo sapiens","PMID":"19029902","AUTHORS":"Querec TD,Akondy RS,Lee EK,Cao W,Nakaya HI,Teuwen D,Pirani A,Gernert K,Deng J,Marzolf B,Kennedy K,Wu H,Bennouna S,Oluoch H,Miller J,Vencio RZ,Mulligan M,Aderem A,Ahmed R,Pulendran B.","GEOID":"GSE13485","EXACT_SOURCE":"GSE13485_2219_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of unstimulated peripheral blood mononuclear cells (PBMC) 1 day after stimulation with YF17D vaccine versus PBMC 3 days after the stimulation.","DESCRIPTION_FULL":"The immune responses generated by YF-17D by profiling 20,077 genes in 25 vaccine recipients were accessed at days 1, 3, 7, and 21 post-vaccination compared to pre-vaccination in PBMCs. The immune responses generated by YF-17D by profiling 20,077 genes in 25 vaccine recipients were accessed at days 1, 3, 7, and 21 post-vaccination compared to pre-vaccination in PBMCs."}
{"STANDARD_NAME":"GSE13485_DAY1_VS_DAY3_YF17D_VACCINE_PBMC_DN","SYSTEMATIC_NAME":"M3294","ORGANISM":"Homo sapiens","PMID":"19029902","AUTHORS":"Querec TD,Akondy RS,Lee EK,Cao W,Nakaya HI,Teuwen D,Pirani A,Gernert K,Deng J,Marzolf B,Kennedy K,Wu H,Bennouna S,Oluoch H,Miller J,Vencio RZ,Mulligan M,Aderem A,Ahmed R,Pulendran B.","GEOID":"GSE13485","EXACT_SOURCE":"GSE13485_2219_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of unstimulated peripheral blood mononuclear cells (PBMC) 1 day after stimulation with YF17D vaccine versus PBMC 3 days after the stimulation.","DESCRIPTION_FULL":"The immune responses generated by YF-17D by profiling 20,077 genes in 25 vaccine recipients were accessed at days 1, 3, 7, and 21 post-vaccination compared to pre-vaccination in PBMCs. The immune responses generated by YF-17D by profiling 20,077 genes in 25 vaccine recipients were accessed at days 1, 3, 7, and 21 post-vaccination compared to pre-vaccination in PBMCs."}
{"STANDARD_NAME":"GSE13485_DAY1_VS_DAY7_YF17D_VACCINE_PBMC_UP","SYSTEMATIC_NAME":"M3295","ORGANISM":"Homo sapiens","PMID":"19029902","AUTHORS":"Querec TD,Akondy RS,Lee EK,Cao W,Nakaya HI,Teuwen D,Pirani A,Gernert K,Deng J,Marzolf B,Kennedy K,Wu H,Bennouna S,Oluoch H,Miller J,Vencio RZ,Mulligan M,Aderem A,Ahmed R,Pulendran B.","GEOID":"GSE13485","EXACT_SOURCE":"GSE13485_2220_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of unstimulated peripheral blood mononuclear cells (PBMC) 1 day after stimulation with YF17D vaccine versus PBMC 7 days after the stimulation.","DESCRIPTION_FULL":"The immune responses generated by YF-17D by profiling 20,077 genes in 25 vaccine recipients were accessed at days 1, 3, 7, and 21 post-vaccination compared to pre-vaccination in PBMCs. The immune responses generated by YF-17D by profiling 20,077 genes in 25 vaccine recipients were accessed at days 1, 3, 7, and 21 post-vaccination compared to pre-vaccination in PBMCs."}
{"STANDARD_NAME":"GSE13485_DAY1_VS_DAY7_YF17D_VACCINE_PBMC_DN","SYSTEMATIC_NAME":"M3296","ORGANISM":"Homo sapiens","PMID":"19029902","AUTHORS":"Querec TD,Akondy RS,Lee EK,Cao W,Nakaya HI,Teuwen D,Pirani A,Gernert K,Deng J,Marzolf B,Kennedy K,Wu H,Bennouna S,Oluoch H,Miller J,Vencio RZ,Mulligan M,Aderem A,Ahmed R,Pulendran B.","GEOID":"GSE13485","EXACT_SOURCE":"GSE13485_2220_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of unstimulated peripheral blood mononuclear cells (PBMC) 1 day after stimulation with YF17D vaccine versus PBMC 7 days after the stimulation.","DESCRIPTION_FULL":"The immune responses generated by YF-17D by profiling 20,077 genes in 25 vaccine recipients were accessed at days 1, 3, 7, and 21 post-vaccination compared to pre-vaccination in PBMCs. The immune responses generated by YF-17D by profiling 20,077 genes in 25 vaccine recipients were accessed at days 1, 3, 7, and 21 post-vaccination compared to pre-vaccination in PBMCs."}
{"STANDARD_NAME":"GSE13485_DAY1_VS_DAY21_YF17D_VACCINE_PBMC_UP","SYSTEMATIC_NAME":"M3298","ORGANISM":"Homo sapiens","PMID":"19029902","AUTHORS":"Querec TD,Akondy RS,Lee EK,Cao W,Nakaya HI,Teuwen D,Pirani A,Gernert K,Deng J,Marzolf B,Kennedy K,Wu H,Bennouna S,Oluoch H,Miller J,Vencio RZ,Mulligan M,Aderem A,Ahmed R,Pulendran B.","GEOID":"GSE13485","EXACT_SOURCE":"GSE13485_2221_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of unstimulated peripheral blood mononuclear cells (PBMC) 1 day after stimulation with YF17D vaccine versus PBMC 21 days after the stimulation.","DESCRIPTION_FULL":"The immune responses generated by YF-17D by profiling 20,077 genes in 25 vaccine recipients were accessed at days 1, 3, 7, and 21 post-vaccination compared to pre-vaccination in PBMCs. The immune responses generated by YF-17D by profiling 20,077 genes in 25 vaccine recipients were accessed at days 1, 3, 7, and 21 post-vaccination compared to pre-vaccination in PBMCs."}
{"STANDARD_NAME":"GSE13485_DAY1_VS_DAY21_YF17D_VACCINE_PBMC_DN","SYSTEMATIC_NAME":"M3299","ORGANISM":"Homo sapiens","PMID":"19029902","AUTHORS":"Querec TD,Akondy RS,Lee EK,Cao W,Nakaya HI,Teuwen D,Pirani A,Gernert K,Deng J,Marzolf B,Kennedy K,Wu H,Bennouna S,Oluoch H,Miller J,Vencio RZ,Mulligan M,Aderem A,Ahmed R,Pulendran B.","GEOID":"GSE13485","EXACT_SOURCE":"GSE13485_2221_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of unstimulated peripheral blood mononuclear cells (PBMC) 1 day after stimulation with YF17D vaccine versus PBMC 21 days after the stimulation.","DESCRIPTION_FULL":"The immune responses generated by YF-17D by profiling 20,077 genes in 25 vaccine recipients were accessed at days 1, 3, 7, and 21 post-vaccination compared to pre-vaccination in PBMCs. The immune responses generated by YF-17D by profiling 20,077 genes in 25 vaccine recipients were accessed at days 1, 3, 7, and 21 post-vaccination compared to pre-vaccination in PBMCs."}
{"STANDARD_NAME":"GSE13485_DAY3_VS_DAY7_YF17D_VACCINE_PBMC_UP","SYSTEMATIC_NAME":"M3300","ORGANISM":"Homo sapiens","PMID":"19029902","AUTHORS":"Querec TD,Akondy RS,Lee EK,Cao W,Nakaya HI,Teuwen D,Pirani A,Gernert K,Deng J,Marzolf B,Kennedy K,Wu H,Bennouna S,Oluoch H,Miller J,Vencio RZ,Mulligan M,Aderem A,Ahmed R,Pulendran B.","GEOID":"GSE13485","EXACT_SOURCE":"GSE13485_2222_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of unstimulated peripheral blood mononuclear cells (PBMC) 3 days after stimulation with YF17D vaccine versus PBMC 7 days after the stimulation.","DESCRIPTION_FULL":"The immune responses generated by YF-17D by profiling 20,077 genes in 25 vaccine recipients were accessed at days 1, 3, 7, and 21 post-vaccination compared to pre-vaccination in PBMCs. The immune responses generated by YF-17D by profiling 20,077 genes in 25 vaccine recipients were accessed at days 1, 3, 7, and 21 post-vaccination compared to pre-vaccination in PBMCs."}
{"STANDARD_NAME":"GSE13485_DAY3_VS_DAY7_YF17D_VACCINE_PBMC_DN","SYSTEMATIC_NAME":"M3302","ORGANISM":"Homo sapiens","PMID":"19029902","AUTHORS":"Querec TD,Akondy RS,Lee EK,Cao W,Nakaya HI,Teuwen D,Pirani A,Gernert K,Deng J,Marzolf B,Kennedy K,Wu H,Bennouna S,Oluoch H,Miller J,Vencio RZ,Mulligan M,Aderem A,Ahmed R,Pulendran B.","GEOID":"GSE13485","EXACT_SOURCE":"GSE13485_2222_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of unstimulated peripheral blood mononuclear cells (PBMC) 3 days after stimulation with YF17D vaccine versus PBMC 7 days after the stimulation.","DESCRIPTION_FULL":"The immune responses generated by YF-17D by profiling 20,077 genes in 25 vaccine recipients were accessed at days 1, 3, 7, and 21 post-vaccination compared to pre-vaccination in PBMCs. The immune responses generated by YF-17D by profiling 20,077 genes in 25 vaccine recipients were accessed at days 1, 3, 7, and 21 post-vaccination compared to pre-vaccination in PBMCs."}
{"STANDARD_NAME":"GSE13485_DAY3_VS_DAY21_YF17D_VACCINE_PBMC_UP","SYSTEMATIC_NAME":"M3303","ORGANISM":"Homo sapiens","PMID":"19029902","AUTHORS":"Querec TD,Akondy RS,Lee EK,Cao W,Nakaya HI,Teuwen D,Pirani A,Gernert K,Deng J,Marzolf B,Kennedy K,Wu H,Bennouna S,Oluoch H,Miller J,Vencio RZ,Mulligan M,Aderem A,Ahmed R,Pulendran B.","GEOID":"GSE13485","EXACT_SOURCE":"GSE13485_2223_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of unstimulated peripheral blood mononuclear cells (PBMC) 3 days after stimulation with YF17D vaccine versus PBMC 21 days after the stimulation.","DESCRIPTION_FULL":"The immune responses generated by YF-17D by profiling 20,077 genes in 25 vaccine recipients were accessed at days 1, 3, 7, and 21 post-vaccination compared to pre-vaccination in PBMCs. The immune responses generated by YF-17D by profiling 20,077 genes in 25 vaccine recipients were accessed at days 1, 3, 7, and 21 post-vaccination compared to pre-vaccination in PBMCs."}
{"STANDARD_NAME":"GSE13485_DAY3_VS_DAY21_YF17D_VACCINE_PBMC_DN","SYSTEMATIC_NAME":"M3306","ORGANISM":"Homo sapiens","PMID":"19029902","AUTHORS":"Querec TD,Akondy RS,Lee EK,Cao W,Nakaya HI,Teuwen D,Pirani A,Gernert K,Deng J,Marzolf B,Kennedy K,Wu H,Bennouna S,Oluoch H,Miller J,Vencio RZ,Mulligan M,Aderem A,Ahmed R,Pulendran B.","GEOID":"GSE13485","EXACT_SOURCE":"GSE13485_2223_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of unstimulated peripheral blood mononuclear cells (PBMC) 3 days after stimulation with YF17D vaccine versus PBMC 21 days after the stimulation.","DESCRIPTION_FULL":"The immune responses generated by YF-17D by profiling 20,077 genes in 25 vaccine recipients were accessed at days 1, 3, 7, and 21 post-vaccination compared to pre-vaccination in PBMCs. The immune responses generated by YF-17D by profiling 20,077 genes in 25 vaccine recipients were accessed at days 1, 3, 7, and 21 post-vaccination compared to pre-vaccination in PBMCs."}
{"STANDARD_NAME":"GSE13485_DAY7_VS_DAY21_YF17D_VACCINE_PBMC_UP","SYSTEMATIC_NAME":"M3307","ORGANISM":"Homo sapiens","PMID":"19029902","AUTHORS":"Querec TD,Akondy RS,Lee EK,Cao W,Nakaya HI,Teuwen D,Pirani A,Gernert K,Deng J,Marzolf B,Kennedy K,Wu H,Bennouna S,Oluoch H,Miller J,Vencio RZ,Mulligan M,Aderem A,Ahmed R,Pulendran B.","GEOID":"GSE13485","EXACT_SOURCE":"GSE13485_2224_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of unstimulated peripheral blood mononuclear cells (PBMC) 7 days after stimulation with YF17D vaccine versus PBMC 21 days after the stimulation.","DESCRIPTION_FULL":"The immune responses generated by YF-17D by profiling 20,077 genes in 25 vaccine recipients were accessed at days 1, 3, 7, and 21 post-vaccination compared to pre-vaccination in PBMCs. The immune responses generated by YF-17D by profiling 20,077 genes in 25 vaccine recipients were accessed at days 1, 3, 7, and 21 post-vaccination compared to pre-vaccination in PBMCs."}
{"STANDARD_NAME":"GSE13485_DAY7_VS_DAY21_YF17D_VACCINE_PBMC_DN","SYSTEMATIC_NAME":"M3308","ORGANISM":"Homo sapiens","PMID":"19029902","AUTHORS":"Querec TD,Akondy RS,Lee EK,Cao W,Nakaya HI,Teuwen D,Pirani A,Gernert K,Deng J,Marzolf B,Kennedy K,Wu H,Bennouna S,Oluoch H,Miller J,Vencio RZ,Mulligan M,Aderem A,Ahmed R,Pulendran B.","GEOID":"GSE13485","EXACT_SOURCE":"GSE13485_2224_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of unstimulated peripheral blood mononuclear cells (PBMC) 7 days after stimulation with YF17D vaccine versus PBMC 21 days after the stimulation.","DESCRIPTION_FULL":"The immune responses generated by YF-17D by profiling 20,077 genes in 25 vaccine recipients were accessed at days 1, 3, 7, and 21 post-vaccination compared to pre-vaccination in PBMCs. The immune responses generated by YF-17D by profiling 20,077 genes in 25 vaccine recipients were accessed at days 1, 3, 7, and 21 post-vaccination compared to pre-vaccination in PBMCs."}
{"STANDARD_NAME":"GSE13485_PRE_VS_POST_YF17D_VACCINATION_PBMC_UP","SYSTEMATIC_NAME":"M3310","ORGANISM":"Homo sapiens","PMID":"19029902","AUTHORS":"Querec TD,Akondy RS,Lee EK,Cao W,Nakaya HI,Teuwen D,Pirani A,Gernert K,Deng J,Marzolf B,Kennedy K,Wu H,Bennouna S,Oluoch H,Miller J,Vencio RZ,Mulligan M,Aderem A,Ahmed R,Pulendran B.","GEOID":"GSE13485","EXACT_SOURCE":"GSE13485_2225_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of peripheral blood mononuclear cells (PBMC) before vs after YF17D vaccination.","DESCRIPTION_FULL":"The immune responses generated by YF-17D by profiling 20,077 genes in 25 vaccine recipients were accessed at days 1, 3, 7, and 21 post-vaccination compared to pre-vaccination in PBMCs. The immune responses generated by YF-17D by profiling 20,077 genes in 25 vaccine recipients were accessed at days 1, 3, 7, and 21 post-vaccination compared to pre-vaccination in PBMCs."}
{"STANDARD_NAME":"GSE13485_PRE_VS_POST_YF17D_VACCINATION_PBMC_DN","SYSTEMATIC_NAME":"M3311","ORGANISM":"Homo sapiens","PMID":"19029902","AUTHORS":"Querec TD,Akondy RS,Lee EK,Cao W,Nakaya HI,Teuwen D,Pirani A,Gernert K,Deng J,Marzolf B,Kennedy K,Wu H,Bennouna S,Oluoch H,Miller J,Vencio RZ,Mulligan M,Aderem A,Ahmed R,Pulendran B.","GEOID":"GSE13485","EXACT_SOURCE":"GSE13485_2225_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of peripheral blood mononuclear cells (PBMC) before vs after YF17D vaccination."}
{"STANDARD_NAME":"GSE13493_DP_VS_CD4INTCD8POS_THYMOCYTE_UP","SYSTEMATIC_NAME":"M3312","ORGANISM":"Mus musculus","PMID":"19027330","AUTHORS":"Choi YI,Duke-Cohan JS,Ahmed WB,Handley MA,Mann F,Epstein JA,Clayton LK,Reinherz EL.","GEOID":"GSE13493","EXACT_SOURCE":"GSE13493_1525_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD4 [GeneID=920] CD8 thymocytes versus CD4 [GeneID=920] Int CD8 thymocytes.","DESCRIPTION_FULL":"T cell development relies on the precise developmental control of various cellular functions for appropriate positive and negative selection. Previously, gene expression profiling of peptide-driven negative selection events in the N15 TCR class I MHC-restricted mouse and D011.10 TCR class II MHC-restricted mouse has offered insights into the coordinate engagement of biological processes affecting thymocyte development. However, there has been little comparable detailed in vivo global genome expression analysis reported for positive selection. We used microarrays to identify the genes differentially expressed during CD8 single positive T cell development in N15 TCR transgenic Rag2 deficient mice."}
{"STANDARD_NAME":"GSE13493_DP_VS_CD4INTCD8POS_THYMOCYTE_DN","SYSTEMATIC_NAME":"M3313","ORGANISM":"Mus musculus","PMID":"19027330","AUTHORS":"Choi YI,Duke-Cohan JS,Ahmed WB,Handley MA,Mann F,Epstein JA,Clayton LK,Reinherz EL.","GEOID":"GSE13493","EXACT_SOURCE":"GSE13493_1525_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD4 [GeneID=920] CD8 thymocytes versus CD4 [GeneID=920] Int CD8 thymocytes.","DESCRIPTION_FULL":"T cell development relies on the precise developmental control of various cellular functions for appropriate positive and negative selection. Previously, gene expression profiling of peptide-driven negative selection events in the N15 TCR class I MHC-restricted mouse and D011.10 TCR class II MHC-restricted mouse has offered insights into the coordinate engagement of biological processes affecting thymocyte development. However, there has been little comparable detailed in vivo global genome expression analysis reported for positive selection. We used microarrays to identify the genes differentially expressed during CD8 single positive T cell development in N15 TCR transgenic Rag2 deficient mice."}
{"STANDARD_NAME":"GSE13493_DP_VS_CD8POS_THYMOCYTE_UP","SYSTEMATIC_NAME":"M3314","ORGANISM":"Mus musculus","PMID":"19027330","AUTHORS":"Choi YI,Duke-Cohan JS,Ahmed WB,Handley MA,Mann F,Epstein JA,Clayton LK,Reinherz EL.","GEOID":"GSE13493","EXACT_SOURCE":"GSE13493_1526_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD4 [GeneID=920] CD8 thymocytes versus CD8 thymocytes.","DESCRIPTION_FULL":"T cell development relies on the precise developmental control of various cellular functions for appropriate positive and negative selection. Previously, gene expression profiling of peptide-driven negative selection events in the N15 TCR class I MHC-restricted mouse and D011.10 TCR class II MHC-restricted mouse has offered insights into the coordinate engagement of biological processes affecting thymocyte development. However, there has been little comparable detailed in vivo global genome expression analysis reported for positive selection. We used microarrays to identify the genes differentially expressed during CD8 single positive T cell development in N15 TCR transgenic Rag2 deficient mice."}
{"STANDARD_NAME":"GSE13493_DP_VS_CD8POS_THYMOCYTE_DN","SYSTEMATIC_NAME":"M3315","ORGANISM":"Mus musculus","PMID":"19027330","AUTHORS":"Choi YI,Duke-Cohan JS,Ahmed WB,Handley MA,Mann F,Epstein JA,Clayton LK,Reinherz EL.","GEOID":"GSE13493","EXACT_SOURCE":"GSE13493_1526_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD4 [GeneID=920] CD8 thymocytes versus CD8 thymocytes.","DESCRIPTION_FULL":"T cell development relies on the precise developmental control of various cellular functions for appropriate positive and negative selection. Previously, gene expression profiling of peptide-driven negative selection events in the N15 TCR class I MHC-restricted mouse and D011.10 TCR class II MHC-restricted mouse has offered insights into the coordinate engagement of biological processes affecting thymocyte development. However, there has been little comparable detailed in vivo global genome expression analysis reported for positive selection. We used microarrays to identify the genes differentially expressed during CD8 single positive T cell development in N15 TCR transgenic Rag2 deficient mice."}
{"STANDARD_NAME":"GSE13493_CD4INTCD8POS_VS_CD8POS_THYMOCYTE_UP","SYSTEMATIC_NAME":"M3316","ORGANISM":"Mus musculus","PMID":"19027330","AUTHORS":"Choi YI,Duke-Cohan JS,Ahmed WB,Handley MA,Mann F,Epstein JA,Clayton LK,Reinherz EL.","GEOID":"GSE13493","EXACT_SOURCE":"GSE13493_1527_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD4 [GeneID=920] CD8 Int thymocytes versus CD8 thymocytes.","DESCRIPTION_FULL":"T cell development relies on the precise developmental control of various cellular functions for appropriate positive and negative selection. Previously, gene expression profiling of peptide-driven negative selection events in the N15 TCR class I MHC-restricted mouse and D011.10 TCR class II MHC-restricted mouse has offered insights into the coordinate engagement of biological processes affecting thymocyte development. However, there has been little comparable detailed in vivo global genome expression analysis reported for positive selection. We used microarrays to identify the genes differentially expressed during CD8 single positive T cell development in N15 TCR transgenic Rag2 deficient mice."}
{"STANDARD_NAME":"GSE13493_CD4INTCD8POS_VS_CD8POS_THYMOCYTE_DN","SYSTEMATIC_NAME":"M3317","ORGANISM":"Mus musculus","PMID":"19027330","AUTHORS":"Choi YI,Duke-Cohan JS,Ahmed WB,Handley MA,Mann F,Epstein JA,Clayton LK,Reinherz EL.","GEOID":"GSE13493","EXACT_SOURCE":"GSE13493_1527_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD4 [GeneID=920] CD8 Int thymocytes versus CD8 thymocytes.","DESCRIPTION_FULL":"T cell development relies on the precise developmental control of various cellular functions for appropriate positive and negative selection. Previously, gene expression profiling of peptide-driven negative selection events in the N15 TCR class I MHC-restricted mouse and D011.10 TCR class II MHC-restricted mouse has offered insights into the coordinate engagement of biological processes affecting thymocyte development. However, there has been little comparable detailed in vivo global genome expression analysis reported for positive selection. We used microarrays to identify the genes differentially expressed during CD8 single positive T cell development in N15 TCR transgenic Rag2 deficient mice."}
{"STANDARD_NAME":"GSE13738_RESTING_VS_TCR_ACTIVATED_CD4_TCELL_UP","SYSTEMATIC_NAME":"M3319","ORGANISM":"Homo sapiens","PMID":"19201849","AUTHORS":"Bangs SC,Baban D,Cattan HJ,Li CK,McMichael AJ,Xu XN.","GEOID":"GSE13738","EXACT_SOURCE":"GSE13738_1725_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of resting CD4 [GeneID=920] T cells versus directly activated CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"There is much evidence that T cells may be activated via mechanisms which act independently of direct TCR ligation. Despite this, the question of whether such forms of ‘bystander’ T cell activation occur during immune responses is hotly debated. To address some outstanding questions, we set up an in vitro system within which to analyse bystander T cell activation in human T cells, in the absence of the possibility for TCR cross-reactivity. In addition, we have investigated the genetic, phenotypic, and functional characteristics of bystander activated T cells. Here, we show that bystander T cell activation is, indeed, observed during a specific immune response, and that it occurs preferentially amongst CD4+ memory T cells. Furthermore, bystander activated T cells display a distinct gene expression profile. The mechanism for bystander T cell activation involves soluble factors, and the outcome is an elevated level of apoptosis. This may provide an explanation for the attrition of T cell memory pools of heterologous specificity during immune responses to pathogens such as viruses."}
{"STANDARD_NAME":"GSE13738_RESTING_VS_TCR_ACTIVATED_CD4_TCELL_DN","SYSTEMATIC_NAME":"M3320","ORGANISM":"Homo sapiens","PMID":"19201849","AUTHORS":"Bangs SC,Baban D,Cattan HJ,Li CK,McMichael AJ,Xu XN.","GEOID":"GSE13738","EXACT_SOURCE":"GSE13738_1725_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of resting CD4 [GeneID=920] T cells versus directly activated CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"There is much evidence that T cells may be activated via mechanisms which act independently of direct TCR ligation. Despite this, the question of whether such forms of ‘bystander’ T cell activation occur during immune responses is hotly debated. To address some outstanding questions, we set up an in vitro system within which to analyse bystander T cell activation in human T cells, in the absence of the possibility for TCR cross-reactivity. In addition, we have investigated the genetic, phenotypic, and functional characteristics of bystander activated T cells. Here, we show that bystander T cell activation is, indeed, observed during a specific immune response, and that it occurs preferentially amongst CD4+ memory T cells. Furthermore, bystander activated T cells display a distinct gene expression profile. The mechanism for bystander T cell activation involves soluble factors, and the outcome is an elevated level of apoptosis. This may provide an explanation for the attrition of T cell memory pools of heterologous specificity during immune responses to pathogens such as viruses."}
{"STANDARD_NAME":"GSE13738_RESTING_VS_BYSTANDER_ACTIVATED_CD4_TCELL_UP","SYSTEMATIC_NAME":"M3321","ORGANISM":"Homo sapiens","PMID":"19201849","AUTHORS":"Bangs SC,Baban D,Cattan HJ,Li CK,McMichael AJ,Xu XN.","GEOID":"GSE13738","EXACT_SOURCE":"GSE13738_1726_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of resting CD4 [GeneID=920] T cells versus bystander activated CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"There is much evidence that T cells may be activated via mechanisms which act independently of direct TCR ligation. Despite this, the question of whether such forms of ‘bystander’ T cell activation occur during immune responses is hotly debated. To address some outstanding questions, we set up an in vitro system within which to analyse bystander T cell activation in human T cells, in the absence of the possibility for TCR cross-reactivity. In addition, we have investigated the genetic, phenotypic, and functional characteristics of bystander activated T cells. Here, we show that bystander T cell activation is, indeed, observed during a specific immune response, and that it occurs preferentially amongst CD4+ memory T cells. Furthermore, bystander activated T cells display a distinct gene expression profile. The mechanism for bystander T cell activation involves soluble factors, and the outcome is an elevated level of apoptosis. This may provide an explanation for the attrition of T cell memory pools of heterologous specificity during immune responses to pathogens such as viruses."}
{"STANDARD_NAME":"GSE13738_RESTING_VS_BYSTANDER_ACTIVATED_CD4_TCELL_DN","SYSTEMATIC_NAME":"M3322","ORGANISM":"Homo sapiens","PMID":"19201849","AUTHORS":"Bangs SC,Baban D,Cattan HJ,Li CK,McMichael AJ,Xu XN.","GEOID":"GSE13738","EXACT_SOURCE":"GSE13738_1726_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of resting CD4 [GeneID=920] T cells versus bystander activated CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"There is much evidence that T cells may be activated via mechanisms which act independently of direct TCR ligation. Despite this, the question of whether such forms of ‘bystander’ T cell activation occur during immune responses is hotly debated. To address some outstanding questions, we set up an in vitro system within which to analyse bystander T cell activation in human T cells, in the absence of the possibility for TCR cross-reactivity. In addition, we have investigated the genetic, phenotypic, and functional characteristics of bystander activated T cells. Here, we show that bystander T cell activation is, indeed, observed during a specific immune response, and that it occurs preferentially amongst CD4+ memory T cells. Furthermore, bystander activated T cells display a distinct gene expression profile. The mechanism for bystander T cell activation involves soluble factors, and the outcome is an elevated level of apoptosis. This may provide an explanation for the attrition of T cell memory pools of heterologous specificity during immune responses to pathogens such as viruses."}
{"STANDARD_NAME":"GSE13738_TCR_VS_BYSTANDER_ACTIVATED_CD4_TCELL_UP","SYSTEMATIC_NAME":"M3324","ORGANISM":"Homo sapiens","PMID":"19201849","AUTHORS":"Bangs SC,Baban D,Cattan HJ,Li CK,McMichael AJ,Xu XN.","GEOID":"GSE13738","EXACT_SOURCE":"GSE13738_1727_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of directly activated CD4 [GeneID=920] T cells versus bystander activated CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"There is much evidence that T cells may be activated via mechanisms which act independently of direct TCR ligation. Despite this, the question of whether such forms of ‘bystander’ T cell activation occur during immune responses is hotly debated. To address some outstanding questions, we set up an in vitro system within which to analyse bystander T cell activation in human T cells, in the absence of the possibility for TCR cross-reactivity. In addition, we have investigated the genetic, phenotypic, and functional characteristics of bystander activated T cells. Here, we show that bystander T cell activation is, indeed, observed during a specific immune response, and that it occurs preferentially amongst CD4+ memory T cells. Furthermore, bystander activated T cells display a distinct gene expression profile. The mechanism for bystander T cell activation involves soluble factors, and the outcome is an elevated level of apoptosis. This may provide an explanation for the attrition of T cell memory pools of heterologous specificity during immune responses to pathogens such as viruses."}
{"STANDARD_NAME":"GSE13738_TCR_VS_BYSTANDER_ACTIVATED_CD4_TCELL_DN","SYSTEMATIC_NAME":"M3325","ORGANISM":"Homo sapiens","PMID":"19201849","AUTHORS":"Bangs SC,Baban D,Cattan HJ,Li CK,McMichael AJ,Xu XN.","GEOID":"GSE13738","EXACT_SOURCE":"GSE13738_1727_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of directly activated CD4 [GeneID=920] T cells versus bystander activated CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"There is much evidence that T cells may be activated via mechanisms which act independently of direct TCR ligation. Despite this, the question of whether such forms of ‘bystander’ T cell activation occur during immune responses is hotly debated. To address some outstanding questions, we set up an in vitro system within which to analyse bystander T cell activation in human T cells, in the absence of the possibility for TCR cross-reactivity. In addition, we have investigated the genetic, phenotypic, and functional characteristics of bystander activated T cells. Here, we show that bystander T cell activation is, indeed, observed during a specific immune response, and that it occurs preferentially amongst CD4+ memory T cells. Furthermore, bystander activated T cells display a distinct gene expression profile. The mechanism for bystander T cell activation involves soluble factors, and the outcome is an elevated level of apoptosis. This may provide an explanation for the attrition of T cell memory pools of heterologous specificity during immune responses to pathogens such as viruses."}
{"STANDARD_NAME":"GSE14000_TRANSLATED_RNA_VS_MRNA_DC_UP","SYSTEMATIC_NAME":"M3326","ORGANISM":"Homo sapiens","PMID":"19943945","AUTHORS":"Ceppi M,Clavarino G,Gatti E,Schmidt EK,de Gassart A,Blankenship D,Ogola G,Banchereau J,Chaussabel D,Pierre P.","GEOID":"GSE14000","EXACT_SOURCE":"GSE14000_1528_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of polysome bound (translated) mRNA versus total mRNA in dendritic cells.","DESCRIPTION_FULL":"Dendritic cells (DCs) are the sentinels of the mammalian immune system and they undergo a complex maturation process mediated by activation upon pathogen detection. Recent studies described the analysis of activated DCs by transcriptional profiling, but translation regulation was never taken in account. Therefore, the nature of the mRNAs being translated at various stages of DC activation was determined with the help of translational profiling, which is the sucrose gradient fractionation of polysomal-bound mRNAs combined to microarrays analysis. Total and polysomal-bound mRNA populations were compared in immature (0h) and LPS-stimulated (4h and 16h) human monocyte-derived DCs with the help of Affymetrix microarrays. Biostatistical analysis indicated that 296 mRNA molecules are translationally regulated during DC-activation. The most abundant biological process among the regulated mRNAs was protein biosynthesis, indicating the existence of a negative feedback loop regulating translation. Interestingly, a cluster of 17 ribosomal proteins were part of the regulated mRNAs, indicating that translation may be fine-tuned by particular components of the translational machinery. Our observations highlight the importance of translation regulation during the immune response, and may favour the identification of novel gene clusters or protein networks relevant for immunity. Our study also provides information on the possible absence of correlation between gene expression and real protein production in DCs."}
{"STANDARD_NAME":"GSE14000_TRANSLATED_RNA_VS_MRNA_DC_DN","SYSTEMATIC_NAME":"M3327","ORGANISM":"Homo sapiens","PMID":"19943945","AUTHORS":"Ceppi M,Clavarino G,Gatti E,Schmidt EK,de Gassart A,Blankenship D,Ogola G,Banchereau J,Chaussabel D,Pierre P.","GEOID":"GSE14000","EXACT_SOURCE":"GSE14000_1528_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of polysome bound (translated) mRNA versus total mRNA in dendritic cells.","DESCRIPTION_FULL":"Dendritic cells (DCs) are the sentinels of the mammalian immune system and they undergo a complex maturation process mediated by activation upon pathogen detection. Recent studies described the analysis of activated DCs by transcriptional profiling, but translation regulation was never taken in account. Therefore, the nature of the mRNAs being translated at various stages of DC activation was determined with the help of translational profiling, which is the sucrose gradient fractionation of polysomal-bound mRNAs combined to microarrays analysis. Total and polysomal-bound mRNA populations were compared in immature (0h) and LPS-stimulated (4h and 16h) human monocyte-derived DCs with the help of Affymetrix microarrays. Biostatistical analysis indicated that 296 mRNA molecules are translationally regulated during DC-activation. The most abundant biological process among the regulated mRNAs was protein biosynthesis, indicating the existence of a negative feedback loop regulating translation. Interestingly, a cluster of 17 ribosomal proteins were part of the regulated mRNAs, indicating that translation may be fine-tuned by particular components of the translational machinery. Our observations highlight the importance of translation regulation during the immune response, and may favour the identification of novel gene clusters or protein networks relevant for immunity. Our study also provides information on the possible absence of correlation between gene expression and real protein production in DCs."}
{"STANDARD_NAME":"GSE14000_TRANSLATED_RNA_VS_MRNA_4H_LPS_DC_UP","SYSTEMATIC_NAME":"M3328","ORGANISM":"Homo sapiens","PMID":"19943945","AUTHORS":"Ceppi M,Clavarino G,Gatti E,Schmidt EK,de Gassart A,Blankenship D,Ogola G,Banchereau J,Chaussabel D,Pierre P.","GEOID":"GSE14000","EXACT_SOURCE":"GSE14000_1529_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of polysome bound (translated) mRNA versus total mRNA 4 h after LPS (TLR4 agonist) stimulation.","DESCRIPTION_FULL":"Dendritic cells (DCs) are the sentinels of the mammalian immune system and they undergo a complex maturation process mediated by activation upon pathogen detection. Recent studies described the analysis of activated DCs by transcriptional profiling, but translation regulation was never taken in account. Therefore, the nature of the mRNAs being translated at various stages of DC activation was determined with the help of translational profiling, which is the sucrose gradient fractionation of polysomal-bound mRNAs combined to microarrays analysis. Total and polysomal-bound mRNA populations were compared in immature (0h) and LPS-stimulated (4h and 16h) human monocyte-derived DCs with the help of Affymetrix microarrays. Biostatistical analysis indicated that 296 mRNA molecules are translationally regulated during DC-activation. The most abundant biological process among the regulated mRNAs was protein biosynthesis, indicating the existence of a negative feedback loop regulating translation. Interestingly, a cluster of 17 ribosomal proteins were part of the regulated mRNAs, indicating that translation may be fine-tuned by particular components of the translational machinery. Our observations highlight the importance of translation regulation during the immune response, and may favour the identification of novel gene clusters or protein networks relevant for immunity. Our study also provides information on the possible absence of correlation between gene expression and real protein production in DCs."}
{"STANDARD_NAME":"GSE14000_TRANSLATED_RNA_VS_MRNA_4H_LPS_DC_DN","SYSTEMATIC_NAME":"M3329","ORGANISM":"Homo sapiens","PMID":"19943945","AUTHORS":"Ceppi M,Clavarino G,Gatti E,Schmidt EK,de Gassart A,Blankenship D,Ogola G,Banchereau J,Chaussabel D,Pierre P.","GEOID":"GSE14000","EXACT_SOURCE":"GSE14000_1529_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of polysome bound (translated) mRNA versus total mRNA 4 h after LPS (TLR4 agonist) stimulation.","DESCRIPTION_FULL":"Dendritic cells (DCs) are the sentinels of the mammalian immune system and they undergo a complex maturation process mediated by activation upon pathogen detection. Recent studies described the analysis of activated DCs by transcriptional profiling, but translation regulation was never taken in account. Therefore, the nature of the mRNAs being translated at various stages of DC activation was determined with the help of translational profiling, which is the sucrose gradient fractionation of polysomal-bound mRNAs combined to microarrays analysis. Total and polysomal-bound mRNA populations were compared in immature (0h) and LPS-stimulated (4h and 16h) human monocyte-derived DCs with the help of Affymetrix microarrays. Biostatistical analysis indicated that 296 mRNA molecules are translationally regulated during DC-activation. The most abundant biological process among the regulated mRNAs was protein biosynthesis, indicating the existence of a negative feedback loop regulating translation. Interestingly, a cluster of 17 ribosomal proteins were part of the regulated mRNAs, indicating that translation may be fine-tuned by particular components of the translational machinery. Our observations highlight the importance of translation regulation during the immune response, and may favour the identification of novel gene clusters or protein networks relevant for immunity. Our study also provides information on the possible absence of correlation between gene expression and real protein production in DCs."}
{"STANDARD_NAME":"GSE14000_TRANSLATED_RNA_VS_MRNA_16H_LPS_DC_UP","SYSTEMATIC_NAME":"M3332","ORGANISM":"Homo sapiens","PMID":"19943945","AUTHORS":"Ceppi M,Clavarino G,Gatti E,Schmidt EK,de Gassart A,Blankenship D,Ogola G,Banchereau J,Chaussabel D,Pierre P.","GEOID":"GSE14000","EXACT_SOURCE":"GSE14000_1530_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of polysome bound (translated) mRNA versus total mRNA 16 h after LPS (TLR4 agonist) stimulation.","DESCRIPTION_FULL":"Dendritic cells (DCs) are the sentinels of the mammalian immune system and they undergo a complex maturation process mediated by activation upon pathogen detection. Recent studies described the analysis of activated DCs by transcriptional profiling, but translation regulation was never taken in account. Therefore, the nature of the mRNAs being translated at various stages of DC activation was determined with the help of translational profiling, which is the sucrose gradient fractionation of polysomal-bound mRNAs combined to microarrays analysis. Total and polysomal-bound mRNA populations were compared in immature (0h) and LPS-stimulated (4h and 16h) human monocyte-derived DCs with the help of Affymetrix microarrays. Biostatistical analysis indicated that 296 mRNA molecules are translationally regulated during DC-activation. The most abundant biological process among the regulated mRNAs was protein biosynthesis, indicating the existence of a negative feedback loop regulating translation. Interestingly, a cluster of 17 ribosomal proteins were part of the regulated mRNAs, indicating that translation may be fine-tuned by particular components of the translational machinery. Our observations highlight the importance of translation regulation during the immune response, and may favour the identification of novel gene clusters or protein networks relevant for immunity. Our study also provides information on the possible absence of correlation between gene expression and real protein production in DCs."}
{"STANDARD_NAME":"GSE14000_TRANSLATED_RNA_VS_MRNA_16H_LPS_DC_DN","SYSTEMATIC_NAME":"M3333","ORGANISM":"Homo sapiens","PMID":"19943945","AUTHORS":"Ceppi M,Clavarino G,Gatti E,Schmidt EK,de Gassart A,Blankenship D,Ogola G,Banchereau J,Chaussabel D,Pierre P.","GEOID":"GSE14000","EXACT_SOURCE":"GSE14000_1530_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of polysome bound (translated) mRNA versus total mRNA 16 h after LPS (TLR4 agonist) stimulation.","DESCRIPTION_FULL":"Dendritic cells (DCs) are the sentinels of the mammalian immune system and they undergo a complex maturation process mediated by activation upon pathogen detection. Recent studies described the analysis of activated DCs by transcriptional profiling, but translation regulation was never taken in account. Therefore, the nature of the mRNAs being translated at various stages of DC activation was determined with the help of translational profiling, which is the sucrose gradient fractionation of polysomal-bound mRNAs combined to microarrays analysis. Total and polysomal-bound mRNA populations were compared in immature (0h) and LPS-stimulated (4h and 16h) human monocyte-derived DCs with the help of Affymetrix microarrays. Biostatistical analysis indicated that 296 mRNA molecules are translationally regulated during DC-activation. The most abundant biological process among the regulated mRNAs was protein biosynthesis, indicating the existence of a negative feedback loop regulating translation. Interestingly, a cluster of 17 ribosomal proteins were part of the regulated mRNAs, indicating that translation may be fine-tuned by particular components of the translational machinery. Our observations highlight the importance of translation regulation during the immune response, and may favour the identification of novel gene clusters or protein networks relevant for immunity. Our study also provides information on the possible absence of correlation between gene expression and real protein production in DCs."}
{"STANDARD_NAME":"GSE14000_UNSTIM_VS_4H_LPS_DC_TRANSLATED_RNA_UP","SYSTEMATIC_NAME":"M3337","ORGANISM":"Homo sapiens","PMID":"19943945","AUTHORS":"Ceppi M,Clavarino G,Gatti E,Schmidt EK,de Gassart A,Blankenship D,Ogola G,Banchereau J,Chaussabel D,Pierre P.","GEOID":"GSE14000","EXACT_SOURCE":"GSE14000_1531_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of polysome bound (translated) mRNA before and 4 h after LPS (TLR4 agonist) stimulation.","DESCRIPTION_FULL":"Dendritic cells (DCs) are the sentinels of the mammalian immune system and they undergo a complex maturation process mediated by activation upon pathogen detection. Recent studies described the analysis of activated DCs by transcriptional profiling, but translation regulation was never taken in account. Therefore, the nature of the mRNAs being translated at various stages of DC activation was determined with the help of translational profiling, which is the sucrose gradient fractionation of polysomal-bound mRNAs combined to microarrays analysis. Total and polysomal-bound mRNA populations were compared in immature (0h) and LPS-stimulated (4h and 16h) human monocyte-derived DCs with the help of Affymetrix microarrays. Biostatistical analysis indicated that 296 mRNA molecules are translationally regulated during DC-activation. The most abundant biological process among the regulated mRNAs was protein biosynthesis, indicating the existence of a negative feedback loop regulating translation. Interestingly, a cluster of 17 ribosomal proteins were part of the regulated mRNAs, indicating that translation may be fine-tuned by particular components of the translational machinery. Our observations highlight the importance of translation regulation during the immune response, and may favour the identification of novel gene clusters or protein networks relevant for immunity. Our study also provides information on the possible absence of correlation between gene expression and real protein production in DCs."}
{"STANDARD_NAME":"GSE14000_UNSTIM_VS_4H_LPS_DC_TRANSLATED_RNA_DN","SYSTEMATIC_NAME":"M3338","ORGANISM":"Homo sapiens","PMID":"19943945","AUTHORS":"Ceppi M,Clavarino G,Gatti E,Schmidt EK,de Gassart A,Blankenship D,Ogola G,Banchereau J,Chaussabel D,Pierre P.","GEOID":"GSE14000","EXACT_SOURCE":"GSE14000_1531_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of polysome bound (translated) mRNA before and 4 h after LPS (TLR4 agonist) stimulation.","DESCRIPTION_FULL":"Dendritic cells (DCs) are the sentinels of the mammalian immune system and they undergo a complex maturation process mediated by activation upon pathogen detection. Recent studies described the analysis of activated DCs by transcriptional profiling, but translation regulation was never taken in account. Therefore, the nature of the mRNAs being translated at various stages of DC activation was determined with the help of translational profiling, which is the sucrose gradient fractionation of polysomal-bound mRNAs combined to microarrays analysis. Total and polysomal-bound mRNA populations were compared in immature (0h) and LPS-stimulated (4h and 16h) human monocyte-derived DCs with the help of Affymetrix microarrays. Biostatistical analysis indicated that 296 mRNA molecules are translationally regulated during DC-activation. The most abundant biological process among the regulated mRNAs was protein biosynthesis, indicating the existence of a negative feedback loop regulating translation. Interestingly, a cluster of 17 ribosomal proteins were part of the regulated mRNAs, indicating that translation may be fine-tuned by particular components of the translational machinery. Our observations highlight the importance of translation regulation during the immune response, and may favour the identification of novel gene clusters or protein networks relevant for immunity. Our study also provides information on the possible absence of correlation between gene expression and real protein production in DCs."}
{"STANDARD_NAME":"GSE14000_UNSTIM_VS_16H_LPS_DC_TRANSLATED_RNA_UP","SYSTEMATIC_NAME":"M3343","ORGANISM":"Homo sapiens","PMID":"19943945","AUTHORS":"Ceppi M,Clavarino G,Gatti E,Schmidt EK,de Gassart A,Blankenship D,Ogola G,Banchereau J,Chaussabel D,Pierre P.","GEOID":"GSE14000","EXACT_SOURCE":"GSE14000_1532_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of polysome bound (translated) mRNA before and 16 h after LPS (TLR4 agonist) stimulation.","DESCRIPTION_FULL":"Dendritic cells (DCs) are the sentinels of the mammalian immune system and they undergo a complex maturation process mediated by activation upon pathogen detection. Recent studies described the analysis of activated DCs by transcriptional profiling, but translation regulation was never taken in account. Therefore, the nature of the mRNAs being translated at various stages of DC activation was determined with the help of translational profiling, which is the sucrose gradient fractionation of polysomal-bound mRNAs combined to microarrays analysis. Total and polysomal-bound mRNA populations were compared in immature (0h) and LPS-stimulated (4h and 16h) human monocyte-derived DCs with the help of Affymetrix microarrays. Biostatistical analysis indicated that 296 mRNA molecules are translationally regulated during DC-activation. The most abundant biological process among the regulated mRNAs was protein biosynthesis, indicating the existence of a negative feedback loop regulating translation. Interestingly, a cluster of 17 ribosomal proteins were part of the regulated mRNAs, indicating that translation may be fine-tuned by particular components of the translational machinery. Our observations highlight the importance of translation regulation during the immune response, and may favour the identification of novel gene clusters or protein networks relevant for immunity. Our study also provides information on the possible absence of correlation between gene expression and real protein production in DCs."}
{"STANDARD_NAME":"GSE14000_UNSTIM_VS_16H_LPS_DC_TRANSLATED_RNA_DN","SYSTEMATIC_NAME":"M3344","ORGANISM":"Homo sapiens","PMID":"19943945","AUTHORS":"Ceppi M,Clavarino G,Gatti E,Schmidt EK,de Gassart A,Blankenship D,Ogola G,Banchereau J,Chaussabel D,Pierre P.","GEOID":"GSE14000","EXACT_SOURCE":"GSE14000_1532_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of polysome bound (translated) mRNA before and 16 h after LPS (TLR4 agonist) stimulation.","DESCRIPTION_FULL":"Dendritic cells (DCs) are the sentinels of the mammalian immune system and they undergo a complex maturation process mediated by activation upon pathogen detection. Recent studies described the analysis of activated DCs by transcriptional profiling, but translation regulation was never taken in account. Therefore, the nature of the mRNAs being translated at various stages of DC activation was determined with the help of translational profiling, which is the sucrose gradient fractionation of polysomal-bound mRNAs combined to microarrays analysis. Total and polysomal-bound mRNA populations were compared in immature (0h) and LPS-stimulated (4h and 16h) human monocyte-derived DCs with the help of Affymetrix microarrays. Biostatistical analysis indicated that 296 mRNA molecules are translationally regulated during DC-activation. The most abundant biological process among the regulated mRNAs was protein biosynthesis, indicating the existence of a negative feedback loop regulating translation. Interestingly, a cluster of 17 ribosomal proteins were part of the regulated mRNAs, indicating that translation may be fine-tuned by particular components of the translational machinery. Our observations highlight the importance of translation regulation during the immune response, and may favour the identification of novel gene clusters or protein networks relevant for immunity. Our study also provides information on the possible absence of correlation between gene expression and real protein production in DCs."}
{"STANDARD_NAME":"GSE14000_UNSTIM_VS_4H_LPS_DC_UP","SYSTEMATIC_NAME":"M3345","ORGANISM":"Homo sapiens","PMID":"19943945","AUTHORS":"Ceppi M,Clavarino G,Gatti E,Schmidt EK,de Gassart A,Blankenship D,Ogola G,Banchereau J,Chaussabel D,Pierre P.","GEOID":"GSE14000","EXACT_SOURCE":"GSE14000_1533_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) before and 4 h after LPS (TLR4 agonist) stimulation.","DESCRIPTION_FULL":"Dendritic cells (DCs) are the sentinels of the mammalian immune system and they undergo a complex maturation process mediated by activation upon pathogen detection. Recent studies described the analysis of activated DCs by transcriptional profiling, but translation regulation was never taken in account. Therefore, the nature of the mRNAs being translated at various stages of DC activation was determined with the help of translational profiling, which is the sucrose gradient fractionation of polysomal-bound mRNAs combined to microarrays analysis. Total and polysomal-bound mRNA populations were compared in immature (0h) and LPS-stimulated (4h and 16h) human monocyte-derived DCs with the help of Affymetrix microarrays. Biostatistical analysis indicated that 296 mRNA molecules are translationally regulated during DC-activation. The most abundant biological process among the regulated mRNAs was protein biosynthesis, indicating the existence of a negative feedback loop regulating translation. Interestingly, a cluster of 17 ribosomal proteins were part of the regulated mRNAs, indicating that translation may be fine-tuned by particular components of the translational machinery. Our observations highlight the importance of translation regulation during the immune response, and may favour the identification of novel gene clusters or protein networks relevant for immunity. Our study also provides information on the possible absence of correlation between gene expression and real protein production in DCs."}
{"STANDARD_NAME":"GSE14000_UNSTIM_VS_4H_LPS_DC_DN","SYSTEMATIC_NAME":"M3347","ORGANISM":"Homo sapiens","PMID":"19943945","AUTHORS":"Ceppi M,Clavarino G,Gatti E,Schmidt EK,de Gassart A,Blankenship D,Ogola G,Banchereau J,Chaussabel D,Pierre P.","GEOID":"GSE14000","EXACT_SOURCE":"GSE14000_1533_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) before and 4 h after LPS (TLR4 agonist) stimulation.","DESCRIPTION_FULL":"Dendritic cells (DCs) are the sentinels of the mammalian immune system and they undergo a complex maturation process mediated by activation upon pathogen detection. Recent studies described the analysis of activated DCs by transcriptional profiling, but translation regulation was never taken in account. Therefore, the nature of the mRNAs being translated at various stages of DC activation was determined with the help of translational profiling, which is the sucrose gradient fractionation of polysomal-bound mRNAs combined to microarrays analysis. Total and polysomal-bound mRNA populations were compared in immature (0h) and LPS-stimulated (4h and 16h) human monocyte-derived DCs with the help of Affymetrix microarrays. Biostatistical analysis indicated that 296 mRNA molecules are translationally regulated during DC-activation. The most abundant biological process among the regulated mRNAs was protein biosynthesis, indicating the existence of a negative feedback loop regulating translation. Interestingly, a cluster of 17 ribosomal proteins were part of the regulated mRNAs, indicating that translation may be fine-tuned by particular components of the translational machinery. Our observations highlight the importance of translation regulation during the immune response, and may favour the identification of novel gene clusters or protein networks relevant for immunity. Our study also provides information on the possible absence of correlation between gene expression and real protein production in DCs."}
{"STANDARD_NAME":"GSE14000_UNSTIM_VS_16H_LPS_DC_UP","SYSTEMATIC_NAME":"M3348","ORGANISM":"Homo sapiens","PMID":"19943945","AUTHORS":"Ceppi M,Clavarino G,Gatti E,Schmidt EK,de Gassart A,Blankenship D,Ogola G,Banchereau J,Chaussabel D,Pierre P.","GEOID":"GSE14000","EXACT_SOURCE":"GSE14000_1534_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) before and 16 h after LPS (TLR4 agonist) stimulation.","DESCRIPTION_FULL":"Dendritic cells (DCs) are the sentinels of the mammalian immune system and they undergo a complex maturation process mediated by activation upon pathogen detection. Recent studies described the analysis of activated DCs by transcriptional profiling, but translation regulation was never taken in account. Therefore, the nature of the mRNAs being translated at various stages of DC activation was determined with the help of translational profiling, which is the sucrose gradient fractionation of polysomal-bound mRNAs combined to microarrays analysis. Total and polysomal-bound mRNA populations were compared in immature (0h) and LPS-stimulated (4h and 16h) human monocyte-derived DCs with the help of Affymetrix microarrays. Biostatistical analysis indicated that 296 mRNA molecules are translationally regulated during DC-activation. The most abundant biological process among the regulated mRNAs was protein biosynthesis, indicating the existence of a negative feedback loop regulating translation. Interestingly, a cluster of 17 ribosomal proteins were part of the regulated mRNAs, indicating that translation may be fine-tuned by particular components of the translational machinery. Our observations highlight the importance of translation regulation during the immune response, and may favour the identification of novel gene clusters or protein networks relevant for immunity. Our study also provides information on the possible absence of correlation between gene expression and real protein production in DCs."}
{"STANDARD_NAME":"GSE14000_UNSTIM_VS_16H_LPS_DC_DN","SYSTEMATIC_NAME":"M3350","ORGANISM":"Homo sapiens","PMID":"19943945","AUTHORS":"Ceppi M,Clavarino G,Gatti E,Schmidt EK,de Gassart A,Blankenship D,Ogola G,Banchereau J,Chaussabel D,Pierre P.","GEOID":"GSE14000","EXACT_SOURCE":"GSE14000_1534_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) before and 16 h after LPS (TLR4 agonist) stimulation.","DESCRIPTION_FULL":"Dendritic cells (DCs) are the sentinels of the mammalian immune system and they undergo a complex maturation process mediated by activation upon pathogen detection. Recent studies described the analysis of activated DCs by transcriptional profiling, but translation regulation was never taken in account. Therefore, the nature of the mRNAs being translated at various stages of DC activation was determined with the help of translational profiling, which is the sucrose gradient fractionation of polysomal-bound mRNAs combined to microarrays analysis. Total and polysomal-bound mRNA populations were compared in immature (0h) and LPS-stimulated (4h and 16h) human monocyte-derived DCs with the help of Affymetrix microarrays. Biostatistical analysis indicated that 296 mRNA molecules are translationally regulated during DC-activation. The most abundant biological process among the regulated mRNAs was protein biosynthesis, indicating the existence of a negative feedback loop regulating translation. Interestingly, a cluster of 17 ribosomal proteins were part of the regulated mRNAs, indicating that translation may be fine-tuned by particular components of the translational machinery. Our observations highlight the importance of translation regulation during the immune response, and may favour the identification of novel gene clusters or protein networks relevant for immunity. Our study also provides information on the possible absence of correlation between gene expression and real protein production in DCs."}
{"STANDARD_NAME":"GSE14000_4H_VS_16H_LPS_DC_TRANSLATED_RNA_UP","SYSTEMATIC_NAME":"M3351","ORGANISM":"Homo sapiens","PMID":"19943945","AUTHORS":"Ceppi M,Clavarino G,Gatti E,Schmidt EK,de Gassart A,Blankenship D,Ogola G,Banchereau J,Chaussabel D,Pierre P.","GEOID":"GSE14000","EXACT_SOURCE":"GSE14000_1535_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of polysome bound (translated) mRNA in dendritic cells (DC) at 4 h after LPS (TLR4 agonist) stimulation versus those at 16 h after the stimulation.","DESCRIPTION_FULL":"Dendritic cells (DCs) are the sentinels of the mammalian immune system and they undergo a complex maturation process mediated by activation upon pathogen detection. Recent studies described the analysis of activated DCs by transcriptional profiling, but translation regulation was never taken in account. Therefore, the nature of the mRNAs being translated at various stages of DC activation was determined with the help of translational profiling, which is the sucrose gradient fractionation of polysomal-bound mRNAs combined to microarrays analysis. Total and polysomal-bound mRNA populations were compared in immature (0h) and LPS-stimulated (4h and 16h) human monocyte-derived DCs with the help of Affymetrix microarrays. Biostatistical analysis indicated that 296 mRNA molecules are translationally regulated during DC-activation. The most abundant biological process among the regulated mRNAs was protein biosynthesis, indicating the existence of a negative feedback loop regulating translation. Interestingly, a cluster of 17 ribosomal proteins were part of the regulated mRNAs, indicating that translation may be fine-tuned by particular components of the translational machinery. Our observations highlight the importance of translation regulation during the immune response, and may favour the identification of novel gene clusters or protein networks relevant for immunity. Our study also provides information on the possible absence of correlation between gene expression and real protein production in DCs."}
{"STANDARD_NAME":"GSE14000_4H_VS_16H_LPS_DC_TRANSLATED_RNA_DN","SYSTEMATIC_NAME":"M3352","ORGANISM":"Homo sapiens","PMID":"19943945","AUTHORS":"Ceppi M,Clavarino G,Gatti E,Schmidt EK,de Gassart A,Blankenship D,Ogola G,Banchereau J,Chaussabel D,Pierre P.","GEOID":"GSE14000","EXACT_SOURCE":"GSE14000_1535_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of polysome bound (translated) mRNA in dendritic cells (DC) at 4 h after LPS (TLR4 agonist) stimulation versus those at 16 h after the stimulation.","DESCRIPTION_FULL":"Dendritic cells (DCs) are the sentinels of the mammalian immune system and they undergo a complex maturation process mediated by activation upon pathogen detection. Recent studies described the analysis of activated DCs by transcriptional profiling, but translation regulation was never taken in account. Therefore, the nature of the mRNAs being translated at various stages of DC activation was determined with the help of translational profiling, which is the sucrose gradient fractionation of polysomal-bound mRNAs combined to microarrays analysis. Total and polysomal-bound mRNA populations were compared in immature (0h) and LPS-stimulated (4h and 16h) human monocyte-derived DCs with the help of Affymetrix microarrays. Biostatistical analysis indicated that 296 mRNA molecules are translationally regulated during DC-activation. The most abundant biological process among the regulated mRNAs was protein biosynthesis, indicating the existence of a negative feedback loop regulating translation. Interestingly, a cluster of 17 ribosomal proteins were part of the regulated mRNAs, indicating that translation may be fine-tuned by particular components of the translational machinery. Our observations highlight the importance of translation regulation during the immune response, and may favour the identification of novel gene clusters or protein networks relevant for immunity. Our study also provides information on the possible absence of correlation between gene expression and real protein production in DCs."}
{"STANDARD_NAME":"GSE14000_4H_VS_16H_LPS_DC_UP","SYSTEMATIC_NAME":"M3354","ORGANISM":"Homo sapiens","PMID":"19943945","AUTHORS":"Ceppi M,Clavarino G,Gatti E,Schmidt EK,de Gassart A,Blankenship D,Ogola G,Banchereau J,Chaussabel D,Pierre P.","GEOID":"GSE14000","EXACT_SOURCE":"GSE14000_1536_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) at 4 h after LPS (TLR4 agonist) stimulation versus those at 16 h after the stimulation.","DESCRIPTION_FULL":"Dendritic cells (DCs) are the sentinels of the mammalian immune system and they undergo a complex maturation process mediated by activation upon pathogen detection. Recent studies described the analysis of activated DCs by transcriptional profiling, but translation regulation was never taken in account. Therefore, the nature of the mRNAs being translated at various stages of DC activation was determined with the help of translational profiling, which is the sucrose gradient fractionation of polysomal-bound mRNAs combined to microarrays analysis. Total and polysomal-bound mRNA populations were compared in immature (0h) and LPS-stimulated (4h and 16h) human monocyte-derived DCs with the help of Affymetrix microarrays. Biostatistical analysis indicated that 296 mRNA molecules are translationally regulated during DC-activation. The most abundant biological process among the regulated mRNAs was protein biosynthesis, indicating the existence of a negative feedback loop regulating translation. Interestingly, a cluster of 17 ribosomal proteins were part of the regulated mRNAs, indicating that translation may be fine-tuned by particular components of the translational machinery. Our observations highlight the importance of translation regulation during the immune response, and may favour the identification of novel gene clusters or protein networks relevant for immunity. Our study also provides information on the possible absence of correlation between gene expression and real protein production in DCs."}
{"STANDARD_NAME":"GSE14000_4H_VS_16H_LPS_DC_DN","SYSTEMATIC_NAME":"M3355","ORGANISM":"Homo sapiens","PMID":"19943945","AUTHORS":"Ceppi M,Clavarino G,Gatti E,Schmidt EK,de Gassart A,Blankenship D,Ogola G,Banchereau J,Chaussabel D,Pierre P.","GEOID":"GSE14000","EXACT_SOURCE":"GSE14000_1536_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) at 4 h after LPS (TLR4 agonist) stimulation versus those at 16 h after the stimulation.","DESCRIPTION_FULL":"Dendritic cells (DCs) are the sentinels of the mammalian immune system and they undergo a complex maturation process mediated by activation upon pathogen detection. Recent studies described the analysis of activated DCs by transcriptional profiling, but translation regulation was never taken in account. Therefore, the nature of the mRNAs being translated at various stages of DC activation was determined with the help of translational profiling, which is the sucrose gradient fractionation of polysomal-bound mRNAs combined to microarrays analysis. Total and polysomal-bound mRNA populations were compared in immature (0h) and LPS-stimulated (4h and 16h) human monocyte-derived DCs with the help of Affymetrix microarrays. Biostatistical analysis indicated that 296 mRNA molecules are translationally regulated during DC-activation. The most abundant biological process among the regulated mRNAs was protein biosynthesis, indicating the existence of a negative feedback loop regulating translation. Interestingly, a cluster of 17 ribosomal proteins were part of the regulated mRNAs, indicating that translation may be fine-tuned by particular components of the translational machinery. Our observations highlight the importance of translation regulation during the immune response, and may favour the identification of novel gene clusters or protein networks relevant for immunity. Our study also provides information on the possible absence of correlation between gene expression and real protein production in DCs."}
{"STANDARD_NAME":"GSE14026_TH1_VS_TH17_UP","SYSTEMATIC_NAME":"M3356","ORGANISM":"Mus musculus","PMID":"19119024","AUTHORS":"Lee YK,Turner H,Maynard CL,Oliver JR,Chen D,Elson CO,Weaver CT.","GEOID":"GSE14026","EXACT_SOURCE":"GSE14026_1102_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of Th1 cells versus Th17 cells.","DESCRIPTION_FULL":"This is to compare the gene expression profile of Th1 and Th17 cells."}
{"STANDARD_NAME":"GSE14026_TH1_VS_TH17_DN","SYSTEMATIC_NAME":"M3357","ORGANISM":"Mus musculus","PMID":"19119024","AUTHORS":"Lee YK,Turner H,Maynard CL,Oliver JR,Chen D,Elson CO,Weaver CT.","GEOID":"GSE14026","EXACT_SOURCE":"GSE14026_1102_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of Th1 cells versus Th17 cells.","DESCRIPTION_FULL":"This is to compare the gene expression profile of Th1 and Th17 cells."}
{"STANDARD_NAME":"GSE14308_TH2_VS_TH1_UP","SYSTEMATIC_NAME":"M3359","ORGANISM":"Mus musculus","PMID":"19144320","AUTHORS":"Wei G,Wei L,Zhu J,Zang C,Hu-Li J,Yao Z,Cui K,Kanno Y,Roh TY,Watford WT,Schones DE,Peng W,Sun HW,Paul WE,O'Shea JJ,Zhao K.","GEOID":"GSE14308","EXACT_SOURCE":"GSE14308_1103_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of Th2 cells versus Th1 cells.","DESCRIPTION_FULL":"Multipotential naïve CD4+ T cells differentiate into distinct lineages including T helper 1 (Th1), Th2, Th17, and inducible T regulatory (iTreg) cells. The remarkable diversity of CD4+ T cells begs the question whether the observed changes reflect terminal differentiation with heritable epigenetic modifications or plasticity in T cell responses. We generated genome-wide histone H3 lysine 4 (H3K4) and lysine 27 (H3K27) trimethylation maps in naïve, Th1, Th2, Th17, iTreg, and natural (n)Treg cells. We found that although modifications of signature cytokine genes (Ifng, Il4, and Il17) partially conform to the expectation of lineage commitment, critical transcription factors such as Tbx21 exhibit a broad spectrum of epigenetic states, consistent with our demonstration of T-bet and IFN-gamma induction in nTreg cells. Our data suggest an epigenetic mechanism underlying the specificity and plasticity of effector and regulatory T cells and also provide a framework for understanding complexity of CD4+ T helper cell differentiation."}
{"STANDARD_NAME":"GSE14308_TH2_VS_TH1_DN","SYSTEMATIC_NAME":"M3360","ORGANISM":"Mus musculus","PMID":"19144320","AUTHORS":"Wei G,Wei L,Zhu J,Zang C,Hu-Li J,Yao Z,Cui K,Kanno Y,Roh TY,Watford WT,Schones DE,Peng W,Sun HW,Paul WE,O'Shea JJ,Zhao K.","GEOID":"GSE14308","EXACT_SOURCE":"GSE14308_1103_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of Th2 cells versus Th1 cells.","DESCRIPTION_FULL":"Multipotential naïve CD4+ T cells differentiate into distinct lineages including T helper 1 (Th1), Th2, Th17, and inducible T regulatory (iTreg) cells. The remarkable diversity of CD4+ T cells begs the question whether the observed changes reflect terminal differentiation with heritable epigenetic modifications or plasticity in T cell responses. We generated genome-wide histone H3 lysine 4 (H3K4) and lysine 27 (H3K27) trimethylation maps in naïve, Th1, Th2, Th17, iTreg, and natural (n)Treg cells. We found that although modifications of signature cytokine genes (Ifng, Il4, and Il17) partially conform to the expectation of lineage commitment, critical transcription factors such as Tbx21 exhibit a broad spectrum of epigenetic states, consistent with our demonstration of T-bet and IFN-gamma induction in nTreg cells. Our data suggest an epigenetic mechanism underlying the specificity and plasticity of effector and regulatory T cells and also provide a framework for understanding complexity of CD4+ T helper cell differentiation."}
{"STANDARD_NAME":"GSE14308_TH2_VS_TH17_UP","SYSTEMATIC_NAME":"M3361","ORGANISM":"Mus musculus","PMID":"19144320","AUTHORS":"Wei G,Wei L,Zhu J,Zang C,Hu-Li J,Yao Z,Cui K,Kanno Y,Roh TY,Watford WT,Schones DE,Peng W,Sun HW,Paul WE,O'Shea JJ,Zhao K.","GEOID":"GSE14308","EXACT_SOURCE":"GSE14308_1104_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of Th2 cells versus Th17 cells.","DESCRIPTION_FULL":"Multipotential naïve CD4+ T cells differentiate into distinct lineages including T helper 1 (Th1), Th2, Th17, and inducible T regulatory (iTreg) cells. The remarkable diversity of CD4+ T cells begs the question whether the observed changes reflect terminal differentiation with heritable epigenetic modifications or plasticity in T cell responses. We generated genome-wide histone H3 lysine 4 (H3K4) and lysine 27 (H3K27) trimethylation maps in naïve, Th1, Th2, Th17, iTreg, and natural (n)Treg cells. We found that although modifications of signature cytokine genes (Ifng, Il4, and Il17) partially conform to the expectation of lineage commitment, critical transcription factors such as Tbx21 exhibit a broad spectrum of epigenetic states, consistent with our demonstration of T-bet and IFN-gamma induction in nTreg cells. Our data suggest an epigenetic mechanism underlying the specificity and plasticity of effector and regulatory T cells and also provide a framework for understanding complexity of CD4+ T helper cell differentiation."}
{"STANDARD_NAME":"GSE14308_TH2_VS_TH17_DN","SYSTEMATIC_NAME":"M3363","ORGANISM":"Mus musculus","PMID":"19144320","AUTHORS":"Wei G,Wei L,Zhu J,Zang C,Hu-Li J,Yao Z,Cui K,Kanno Y,Roh TY,Watford WT,Schones DE,Peng W,Sun HW,Paul WE,O'Shea JJ,Zhao K.","GEOID":"GSE14308","EXACT_SOURCE":"GSE14308_1104_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of Th2 cells versus Th17 cells.","DESCRIPTION_FULL":"Multipotential naïve CD4+ T cells differentiate into distinct lineages including T helper 1 (Th1), Th2, Th17, and inducible T regulatory (iTreg) cells. The remarkable diversity of CD4+ T cells begs the question whether the observed changes reflect terminal differentiation with heritable epigenetic modifications or plasticity in T cell responses. We generated genome-wide histone H3 lysine 4 (H3K4) and lysine 27 (H3K27) trimethylation maps in naïve, Th1, Th2, Th17, iTreg, and natural (n)Treg cells. We found that although modifications of signature cytokine genes (Ifng, Il4, and Il17) partially conform to the expectation of lineage commitment, critical transcription factors such as Tbx21 exhibit a broad spectrum of epigenetic states, consistent with our demonstration of T-bet and IFN-gamma induction in nTreg cells. Our data suggest an epigenetic mechanism underlying the specificity and plasticity of effector and regulatory T cells and also provide a framework for understanding complexity of CD4+ T helper cell differentiation."}
{"STANDARD_NAME":"GSE14308_TH2_VS_NAIVE_CD4_TCELL_UP","SYSTEMATIC_NAME":"M3364","ORGANISM":"Mus musculus","PMID":"19144320","AUTHORS":"Wei G,Wei L,Zhu J,Zang C,Hu-Li J,Yao Z,Cui K,Kanno Y,Roh TY,Watford WT,Schones DE,Peng W,Sun HW,Paul WE,O'Shea JJ,Zhao K.","GEOID":"GSE14308","EXACT_SOURCE":"GSE14308_1105_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of Th2 cells versus naive CD4 [GeneID=620] T cells.","DESCRIPTION_FULL":"Multipotential naïve CD4+ T cells differentiate into distinct lineages including T helper 1 (Th1), Th2, Th17, and inducible T regulatory (iTreg) cells. The remarkable diversity of CD4+ T cells begs the question whether the observed changes reflect terminal differentiation with heritable epigenetic modifications or plasticity in T cell responses. We generated genome-wide histone H3 lysine 4 (H3K4) and lysine 27 (H3K27) trimethylation maps in naïve, Th1, Th2, Th17, iTreg, and natural (n)Treg cells. We found that although modifications of signature cytokine genes (Ifng, Il4, and Il17) partially conform to the expectation of lineage commitment, critical transcription factors such as Tbx21 exhibit a broad spectrum of epigenetic states, consistent with our demonstration of T-bet and IFN-gamma induction in nTreg cells. Our data suggest an epigenetic mechanism underlying the specificity and plasticity of effector and regulatory T cells and also provide a framework for understanding complexity of CD4+ T helper cell differentiation."}
{"STANDARD_NAME":"GSE14308_TH2_VS_NAIVE_CD4_TCELL_DN","SYSTEMATIC_NAME":"M3365","ORGANISM":"Mus musculus","PMID":"19144320","AUTHORS":"Wei G,Wei L,Zhu J,Zang C,Hu-Li J,Yao Z,Cui K,Kanno Y,Roh TY,Watford WT,Schones DE,Peng W,Sun HW,Paul WE,O'Shea JJ,Zhao K.","GEOID":"GSE14308","EXACT_SOURCE":"GSE14308_1105_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of Th2 cells versus naive CD4 [GeneID=620] T cells.","DESCRIPTION_FULL":"Multipotential naïve CD4+ T cells differentiate into distinct lineages including T helper 1 (Th1), Th2, Th17, and inducible T regulatory (iTreg) cells. The remarkable diversity of CD4+ T cells begs the question whether the observed changes reflect terminal differentiation with heritable epigenetic modifications or plasticity in T cell responses. We generated genome-wide histone H3 lysine 4 (H3K4) and lysine 27 (H3K27) trimethylation maps in naïve, Th1, Th2, Th17, iTreg, and natural (n)Treg cells. We found that although modifications of signature cytokine genes (Ifng, Il4, and Il17) partially conform to the expectation of lineage commitment, critical transcription factors such as Tbx21 exhibit a broad spectrum of epigenetic states, consistent with our demonstration of T-bet and IFN-gamma induction in nTreg cells. Our data suggest an epigenetic mechanism underlying the specificity and plasticity of effector and regulatory T cells and also provide a framework for understanding complexity of CD4+ T helper cell differentiation."}
{"STANDARD_NAME":"GSE14308_TH2_VS_INDUCED_TREG_UP","SYSTEMATIC_NAME":"M3366","ORGANISM":"Mus musculus","PMID":"19144320","AUTHORS":"Wei G,Wei L,Zhu J,Zang C,Hu-Li J,Yao Z,Cui K,Kanno Y,Roh TY,Watford WT,Schones DE,Peng W,Sun HW,Paul WE,O'Shea JJ,Zhao K.","GEOID":"GSE14308","EXACT_SOURCE":"GSE14308_1106_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of Th2cells versus induced regulatory T cell (Treg).","DESCRIPTION_FULL":"Multipotential naïve CD4+ T cells differentiate into distinct lineages including T helper 1 (Th1), Th2, Th17, and inducible T regulatory (iTreg) cells. The remarkable diversity of CD4+ T cells begs the question whether the observed changes reflect terminal differentiation with heritable epigenetic modifications or plasticity in T cell responses. We generated genome-wide histone H3 lysine 4 (H3K4) and lysine 27 (H3K27) trimethylation maps in naïve, Th1, Th2, Th17, iTreg, and natural (n)Treg cells. We found that although modifications of signature cytokine genes (Ifng, Il4, and Il17) partially conform to the expectation of lineage commitment, critical transcription factors such as Tbx21 exhibit a broad spectrum of epigenetic states, consistent with our demonstration of T-bet and IFN-gamma induction in nTreg cells. Our data suggest an epigenetic mechanism underlying the specificity and plasticity of effector and regulatory T cells and also provide a framework for understanding complexity of CD4+ T helper cell differentiation."}
{"STANDARD_NAME":"GSE14308_TH2_VS_INDUCED_TREG_DN","SYSTEMATIC_NAME":"M3367","ORGANISM":"Mus musculus","PMID":"19144320","AUTHORS":"Wei G,Wei L,Zhu J,Zang C,Hu-Li J,Yao Z,Cui K,Kanno Y,Roh TY,Watford WT,Schones DE,Peng W,Sun HW,Paul WE,O'Shea JJ,Zhao K.","GEOID":"GSE14308","EXACT_SOURCE":"GSE14308_1106_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of Th2 cells versus induced regulatory T cell (Treg).","DESCRIPTION_FULL":"Multipotential naïve CD4+ T cells differentiate into distinct lineages including T helper 1 (Th1), Th2, Th17, and inducible T regulatory (iTreg) cells. The remarkable diversity of CD4+ T cells begs the question whether the observed changes reflect terminal differentiation with heritable epigenetic modifications or plasticity in T cell responses. We generated genome-wide histone H3 lysine 4 (H3K4) and lysine 27 (H3K27) trimethylation maps in naïve, Th1, Th2, Th17, iTreg, and natural (n)Treg cells. We found that although modifications of signature cytokine genes (Ifng, Il4, and Il17) partially conform to the expectation of lineage commitment, critical transcription factors such as Tbx21 exhibit a broad spectrum of epigenetic states, consistent with our demonstration of T-bet and IFN-gamma induction in nTreg cells. Our data suggest an epigenetic mechanism underlying the specificity and plasticity of effector and regulatory T cells and also provide a framework for understanding complexity of CD4+ T helper cell differentiation."}
{"STANDARD_NAME":"GSE14308_TH2_VS_NATURAL_TREG_UP","SYSTEMATIC_NAME":"M3368","ORGANISM":"Mus musculus","PMID":"19144320","AUTHORS":"Wei G,Wei L,Zhu J,Zang C,Hu-Li J,Yao Z,Cui K,Kanno Y,Roh TY,Watford WT,Schones DE,Peng W,Sun HW,Paul WE,O'Shea JJ,Zhao K.","GEOID":"GSE14308","EXACT_SOURCE":"GSE14308_1107_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of Th2 cells versus natural regulatory T cell (Treg).","DESCRIPTION_FULL":"Multipotential naïve CD4+ T cells differentiate into distinct lineages including T helper 1 (Th1), Th2, Th17, and inducible T regulatory (iTreg) cells. The remarkable diversity of CD4+ T cells begs the question whether the observed changes reflect terminal differentiation with heritable epigenetic modifications or plasticity in T cell responses. We generated genome-wide histone H3 lysine 4 (H3K4) and lysine 27 (H3K27) trimethylation maps in naïve, Th1, Th2, Th17, iTreg, and natural (n)Treg cells. We found that although modifications of signature cytokine genes (Ifng, Il4, and Il17) partially conform to the expectation of lineage commitment, critical transcription factors such as Tbx21 exhibit a broad spectrum of epigenetic states, consistent with our demonstration of T-bet and IFN-gamma induction in nTreg cells. Our data suggest an epigenetic mechanism underlying the specificity and plasticity of effector and regulatory T cells and also provide a framework for understanding complexity of CD4+ T helper cell differentiation."}
{"STANDARD_NAME":"GSE14308_TH2_VS_NATURAL_TREG_DN","SYSTEMATIC_NAME":"M3369","ORGANISM":"Mus musculus","PMID":"19144320","AUTHORS":"Wei G,Wei L,Zhu J,Zang C,Hu-Li J,Yao Z,Cui K,Kanno Y,Roh TY,Watford WT,Schones DE,Peng W,Sun HW,Paul WE,O'Shea JJ,Zhao K.","GEOID":"GSE14308","EXACT_SOURCE":"GSE14308_1107_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of Th2 cells versus natural regulatory T cell (Treg).","DESCRIPTION_FULL":"Multipotential naïve CD4+ T cells differentiate into distinct lineages including T helper 1 (Th1), Th2, Th17, and inducible T regulatory (iTreg) cells. The remarkable diversity of CD4+ T cells begs the question whether the observed changes reflect terminal differentiation with heritable epigenetic modifications or plasticity in T cell responses. We generated genome-wide histone H3 lysine 4 (H3K4) and lysine 27 (H3K27) trimethylation maps in naïve, Th1, Th2, Th17, iTreg, and natural (n)Treg cells. We found that although modifications of signature cytokine genes (Ifng, Il4, and Il17) partially conform to the expectation of lineage commitment, critical transcription factors such as Tbx21 exhibit a broad spectrum of epigenetic states, consistent with our demonstration of T-bet and IFN-gamma induction in nTreg cells. Our data suggest an epigenetic mechanism underlying the specificity and plasticity of effector and regulatory T cells and also provide a framework for understanding complexity of CD4+ T helper cell differentiation."}
{"STANDARD_NAME":"GSE14308_TH1_VS_TH17_UP","SYSTEMATIC_NAME":"M3371","ORGANISM":"Mus musculus","PMID":"19144320","AUTHORS":"Wei G,Wei L,Zhu J,Zang C,Hu-Li J,Yao Z,Cui K,Kanno Y,Roh TY,Watford WT,Schones DE,Peng W,Sun HW,Paul WE,O'Shea JJ,Zhao K.","GEOID":"GSE14308","EXACT_SOURCE":"GSE14308_1108_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of Th1 cells versus Th17 cells.","DESCRIPTION_FULL":"Multipotential naïve CD4+ T cells differentiate into distinct lineages including T helper 1 (Th1), Th2, Th17, and inducible T regulatory (iTreg) cells. The remarkable diversity of CD4+ T cells begs the question whether the observed changes reflect terminal differentiation with heritable epigenetic modifications or plasticity in T cell responses. We generated genome-wide histone H3 lysine 4 (H3K4) and lysine 27 (H3K27) trimethylation maps in naïve, Th1, Th2, Th17, iTreg, and natural (n)Treg cells. We found that although modifications of signature cytokine genes (Ifng, Il4, and Il17) partially conform to the expectation of lineage commitment, critical transcription factors such as Tbx21 exhibit a broad spectrum of epigenetic states, consistent with our demonstration of T-bet and IFN-gamma induction in nTreg cells. Our data suggest an epigenetic mechanism underlying the specificity and plasticity of effector and regulatory T cells and also provide a framework for understanding complexity of CD4+ T helper cell differentiation."}
{"STANDARD_NAME":"GSE14308_TH1_VS_TH17_DN","SYSTEMATIC_NAME":"M3374","ORGANISM":"Mus musculus","PMID":"19144320","AUTHORS":"Wei G,Wei L,Zhu J,Zang C,Hu-Li J,Yao Z,Cui K,Kanno Y,Roh TY,Watford WT,Schones DE,Peng W,Sun HW,Paul WE,O'Shea JJ,Zhao K.","GEOID":"GSE14308","EXACT_SOURCE":"GSE14308_1108_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of Th1 cells versus Th17 cells.","DESCRIPTION_FULL":"Multipotential naïve CD4+ T cells differentiate into distinct lineages including T helper 1 (Th1), Th2, Th17, and inducible T regulatory (iTreg) cells. The remarkable diversity of CD4+ T cells begs the question whether the observed changes reflect terminal differentiation with heritable epigenetic modifications or plasticity in T cell responses. We generated genome-wide histone H3 lysine 4 (H3K4) and lysine 27 (H3K27) trimethylation maps in naïve, Th1, Th2, Th17, iTreg, and natural (n)Treg cells. We found that although modifications of signature cytokine genes (Ifng, Il4, and Il17) partially conform to the expectation of lineage commitment, critical transcription factors such as Tbx21 exhibit a broad spectrum of epigenetic states, consistent with our demonstration of T-bet and IFN-gamma induction in nTreg cells. Our data suggest an epigenetic mechanism underlying the specificity and plasticity of effector and regulatory T cells and also provide a framework for understanding complexity of CD4+ T helper cell differentiation."}
{"STANDARD_NAME":"GSE14308_TH1_VS_NAIVE_CD4_TCELL_UP","SYSTEMATIC_NAME":"M3376","ORGANISM":"Mus musculus","PMID":"19144320","AUTHORS":"Wei G,Wei L,Zhu J,Zang C,Hu-Li J,Yao Z,Cui K,Kanno Y,Roh TY,Watford WT,Schones DE,Peng W,Sun HW,Paul WE,O'Shea JJ,Zhao K.","GEOID":"GSE14308","EXACT_SOURCE":"GSE14308_1109_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of Th1 cells versus naive CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"Multipotential naïve CD4+ T cells differentiate into distinct lineages including T helper 1 (Th1), Th2, Th17, and inducible T regulatory (iTreg) cells. The remarkable diversity of CD4+ T cells begs the question whether the observed changes reflect terminal differentiation with heritable epigenetic modifications or plasticity in T cell responses. We generated genome-wide histone H3 lysine 4 (H3K4) and lysine 27 (H3K27) trimethylation maps in naïve, Th1, Th2, Th17, iTreg, and natural (n)Treg cells. We found that although modifications of signature cytokine genes (Ifng, Il4, and Il17) partially conform to the expectation of lineage commitment, critical transcription factors such as Tbx21 exhibit a broad spectrum of epigenetic states, consistent with our demonstration of T-bet and IFN-gamma induction in nTreg cells. Our data suggest an epigenetic mechanism underlying the specificity and plasticity of effector and regulatory T cells and also provide a framework for understanding complexity of CD4+ T helper cell differentiation."}
{"STANDARD_NAME":"GSE14308_TH1_VS_NAIVE_CD4_TCELL_DN","SYSTEMATIC_NAME":"M3377","ORGANISM":"Mus musculus","PMID":"19144320","AUTHORS":"Wei G,Wei L,Zhu J,Zang C,Hu-Li J,Yao Z,Cui K,Kanno Y,Roh TY,Watford WT,Schones DE,Peng W,Sun HW,Paul WE,O'Shea JJ,Zhao K.","GEOID":"GSE14308","EXACT_SOURCE":"GSE14308_1109_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of Th1 cells versus naive CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"Multipotential naïve CD4+ T cells differentiate into distinct lineages including T helper 1 (Th1), Th2, Th17, and inducible T regulatory (iTreg) cells. The remarkable diversity of CD4+ T cells begs the question whether the observed changes reflect terminal differentiation with heritable epigenetic modifications or plasticity in T cell responses. We generated genome-wide histone H3 lysine 4 (H3K4) and lysine 27 (H3K27) trimethylation maps in naïve, Th1, Th2, Th17, iTreg, and natural (n)Treg cells. We found that although modifications of signature cytokine genes (Ifng, Il4, and Il17) partially conform to the expectation of lineage commitment, critical transcription factors such as Tbx21 exhibit a broad spectrum of epigenetic states, consistent with our demonstration of T-bet and IFN-gamma induction in nTreg cells. Our data suggest an epigenetic mechanism underlying the specificity and plasticity of effector and regulatory T cells and also provide a framework for understanding complexity of CD4+ T helper cell differentiation."}
{"STANDARD_NAME":"GSE14308_TH1_VS_INDUCED_TREG_UP","SYSTEMATIC_NAME":"M3378","ORGANISM":"Mus musculus","PMID":"19144320","AUTHORS":"Wei G,Wei L,Zhu J,Zang C,Hu-Li J,Yao Z,Cui K,Kanno Y,Roh TY,Watford WT,Schones DE,Peng W,Sun HW,Paul WE,O'Shea JJ,Zhao K.","GEOID":"GSE14308","EXACT_SOURCE":"GSE14308_1110_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of Th1 cells versus induced regulatory T cell (Treg).","DESCRIPTION_FULL":"Multipotential naïve CD4+ T cells differentiate into distinct lineages including T helper 1 (Th1), Th2, Th17, and inducible T regulatory (iTreg) cells. The remarkable diversity of CD4+ T cells begs the question whether the observed changes reflect terminal differentiation with heritable epigenetic modifications or plasticity in T cell responses. We generated genome-wide histone H3 lysine 4 (H3K4) and lysine 27 (H3K27) trimethylation maps in naïve, Th1, Th2, Th17, iTreg, and natural (n)Treg cells. We found that although modifications of signature cytokine genes (Ifng, Il4, and Il17) partially conform to the expectation of lineage commitment, critical transcription factors such as Tbx21 exhibit a broad spectrum of epigenetic states, consistent with our demonstration of T-bet and IFN-gamma induction in nTreg cells. Our data suggest an epigenetic mechanism underlying the specificity and plasticity of effector and regulatory T cells and also provide a framework for understanding complexity of CD4+ T helper cell differentiation."}
{"STANDARD_NAME":"GSE14308_TH1_VS_INDUCED_TREG_DN","SYSTEMATIC_NAME":"M3379","ORGANISM":"Mus musculus","PMID":"19144320","AUTHORS":"Wei G,Wei L,Zhu J,Zang C,Hu-Li J,Yao Z,Cui K,Kanno Y,Roh TY,Watford WT,Schones DE,Peng W,Sun HW,Paul WE,O'Shea JJ,Zhao K.","GEOID":"GSE14308","EXACT_SOURCE":"GSE14308_1110_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of Th1 cells versus induced regulatory T cell (Treg).","DESCRIPTION_FULL":"Multipotential naïve CD4+ T cells differentiate into distinct lineages including T helper 1 (Th1), Th2, Th17, and inducible T regulatory (iTreg) cells. The remarkable diversity of CD4+ T cells begs the question whether the observed changes reflect terminal differentiation with heritable epigenetic modifications or plasticity in T cell responses. We generated genome-wide histone H3 lysine 4 (H3K4) and lysine 27 (H3K27) trimethylation maps in naïve, Th1, Th2, Th17, iTreg, and natural (n)Treg cells. We found that although modifications of signature cytokine genes (Ifng, Il4, and Il17) partially conform to the expectation of lineage commitment, critical transcription factors such as Tbx21 exhibit a broad spectrum of epigenetic states, consistent with our demonstration of T-bet and IFN-gamma induction in nTreg cells. Our data suggest an epigenetic mechanism underlying the specificity and plasticity of effector and regulatory T cells and also provide a framework for understanding complexity of CD4+ T helper cell differentiation."}
{"STANDARD_NAME":"GSE14308_TH1_VS_NATURAL_TREG_UP","SYSTEMATIC_NAME":"M3380","ORGANISM":"Mus musculus","PMID":"19144320","AUTHORS":"Wei G,Wei L,Zhu J,Zang C,Hu-Li J,Yao Z,Cui K,Kanno Y,Roh TY,Watford WT,Schones DE,Peng W,Sun HW,Paul WE,O'Shea JJ,Zhao K.","GEOID":"GSE14308","EXACT_SOURCE":"GSE14308_1111_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of Th1 cells versus natural regulatory T cell (Treg).","DESCRIPTION_FULL":"Multipotential naïve CD4+ T cells differentiate into distinct lineages including T helper 1 (Th1), Th2, Th17, and inducible T regulatory (iTreg) cells. The remarkable diversity of CD4+ T cells begs the question whether the observed changes reflect terminal differentiation with heritable epigenetic modifications or plasticity in T cell responses. We generated genome-wide histone H3 lysine 4 (H3K4) and lysine 27 (H3K27) trimethylation maps in naïve, Th1, Th2, Th17, iTreg, and natural (n)Treg cells. We found that although modifications of signature cytokine genes (Ifng, Il4, and Il17) partially conform to the expectation of lineage commitment, critical transcription factors such as Tbx21 exhibit a broad spectrum of epigenetic states, consistent with our demonstration of T-bet and IFN-gamma induction in nTreg cells. Our data suggest an epigenetic mechanism underlying the specificity and plasticity of effector and regulatory T cells and also provide a framework for understanding complexity of CD4+ T helper cell differentiation."}
{"STANDARD_NAME":"GSE14308_TH1_VS_NATURAL_TREG_DN","SYSTEMATIC_NAME":"M3381","ORGANISM":"Mus musculus","PMID":"19144320","AUTHORS":"Wei G,Wei L,Zhu J,Zang C,Hu-Li J,Yao Z,Cui K,Kanno Y,Roh TY,Watford WT,Schones DE,Peng W,Sun HW,Paul WE,O'Shea JJ,Zhao K.","GEOID":"GSE14308","EXACT_SOURCE":"GSE14308_1111_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of Th1 cells versus natural regulatory T cell (Treg).","DESCRIPTION_FULL":"Multipotential naïve CD4+ T cells differentiate into distinct lineages including T helper 1 (Th1), Th2, Th17, and inducible T regulatory (iTreg) cells. The remarkable diversity of CD4+ T cells begs the question whether the observed changes reflect terminal differentiation with heritable epigenetic modifications or plasticity in T cell responses. We generated genome-wide histone H3 lysine 4 (H3K4) and lysine 27 (H3K27) trimethylation maps in naïve, Th1, Th2, Th17, iTreg, and natural (n)Treg cells. We found that although modifications of signature cytokine genes (Ifng, Il4, and Il17) partially conform to the expectation of lineage commitment, critical transcription factors such as Tbx21 exhibit a broad spectrum of epigenetic states, consistent with our demonstration of T-bet and IFN-gamma induction in nTreg cells. Our data suggest an epigenetic mechanism underlying the specificity and plasticity of effector and regulatory T cells and also provide a framework for understanding complexity of CD4+ T helper cell differentiation."}
{"STANDARD_NAME":"GSE14308_TH17_VS_NAIVE_CD4_TCELL_UP","SYSTEMATIC_NAME":"M3382","ORGANISM":"Mus musculus","PMID":"19144320","AUTHORS":"Wei G,Wei L,Zhu J,Zang C,Hu-Li J,Yao Z,Cui K,Kanno Y,Roh TY,Watford WT,Schones DE,Peng W,Sun HW,Paul WE,O'Shea JJ,Zhao K.","GEOID":"GSE14308","EXACT_SOURCE":"GSE14308_1112_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of Th17 cells versus naive CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"Multipotential naïve CD4+ T cells differentiate into distinct lineages including T helper 1 (Th1), Th2, Th17, and inducible T regulatory (iTreg) cells. The remarkable diversity of CD4+ T cells begs the question whether the observed changes reflect terminal differentiation with heritable epigenetic modifications or plasticity in T cell responses. We generated genome-wide histone H3 lysine 4 (H3K4) and lysine 27 (H3K27) trimethylation maps in naïve, Th1, Th2, Th17, iTreg, and natural (n)Treg cells. We found that although modifications of signature cytokine genes (Ifng, Il4, and Il17) partially conform to the expectation of lineage commitment, critical transcription factors such as Tbx21 exhibit a broad spectrum of epigenetic states, consistent with our demonstration of T-bet and IFN-gamma induction in nTreg cells. Our data suggest an epigenetic mechanism underlying the specificity and plasticity of effector and regulatory T cells and also provide a framework for understanding complexity of CD4+ T helper cell differentiation."}
{"STANDARD_NAME":"GSE14308_TH17_VS_NAIVE_CD4_TCELL_DN","SYSTEMATIC_NAME":"M3384","ORGANISM":"Mus musculus","PMID":"19144320","AUTHORS":"Wei G,Wei L,Zhu J,Zang C,Hu-Li J,Yao Z,Cui K,Kanno Y,Roh TY,Watford WT,Schones DE,Peng W,Sun HW,Paul WE,O'Shea JJ,Zhao K.","GEOID":"GSE14308","EXACT_SOURCE":"GSE14308_1112_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of Th17 cells versus naive CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"Multipotential naïve CD4+ T cells differentiate into distinct lineages including T helper 1 (Th1), Th2, Th17, and inducible T regulatory (iTreg) cells. The remarkable diversity of CD4+ T cells begs the question whether the observed changes reflect terminal differentiation with heritable epigenetic modifications or plasticity in T cell responses. We generated genome-wide histone H3 lysine 4 (H3K4) and lysine 27 (H3K27) trimethylation maps in naïve, Th1, Th2, Th17, iTreg, and natural (n)Treg cells. We found that although modifications of signature cytokine genes (Ifng, Il4, and Il17) partially conform to the expectation of lineage commitment, critical transcription factors such as Tbx21 exhibit a broad spectrum of epigenetic states, consistent with our demonstration of T-bet and IFN-gamma induction in nTreg cells. Our data suggest an epigenetic mechanism underlying the specificity and plasticity of effector and regulatory T cells and also provide a framework for understanding complexity of CD4+ T helper cell differentiation."}
{"STANDARD_NAME":"GSE14308_TH17_VS_INDUCED_TREG_UP","SYSTEMATIC_NAME":"M3385","ORGANISM":"Mus musculus","PMID":"19144320","AUTHORS":"Wei G,Wei L,Zhu J,Zang C,Hu-Li J,Yao Z,Cui K,Kanno Y,Roh TY,Watford WT,Schones DE,Peng W,Sun HW,Paul WE,O'Shea JJ,Zhao K.","GEOID":"GSE14308","EXACT_SOURCE":"GSE14308_1113_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of Th17 cells versus induced regulatory T cell (Treg).","DESCRIPTION_FULL":"Multipotential naïve CD4+ T cells differentiate into distinct lineages including T helper 1 (Th1), Th2, Th17, and inducible T regulatory (iTreg) cells. The remarkable diversity of CD4+ T cells begs the question whether the observed changes reflect terminal differentiation with heritable epigenetic modifications or plasticity in T cell responses. We generated genome-wide histone H3 lysine 4 (H3K4) and lysine 27 (H3K27) trimethylation maps in naïve, Th1, Th2, Th17, iTreg, and natural (n)Treg cells. We found that although modifications of signature cytokine genes (Ifng, Il4, and Il17) partially conform to the expectation of lineage commitment, critical transcription factors such as Tbx21 exhibit a broad spectrum of epigenetic states, consistent with our demonstration of T-bet and IFN-gamma induction in nTreg cells. Our data suggest an epigenetic mechanism underlying the specificity and plasticity of effector and regulatory T cells and also provide a framework for understanding complexity of CD4+ T helper cell differentiation."}
{"STANDARD_NAME":"GSE14308_TH17_VS_INDUCED_TREG_DN","SYSTEMATIC_NAME":"M3386","ORGANISM":"Mus musculus","PMID":"19144320","AUTHORS":"Wei G,Wei L,Zhu J,Zang C,Hu-Li J,Yao Z,Cui K,Kanno Y,Roh TY,Watford WT,Schones DE,Peng W,Sun HW,Paul WE,O'Shea JJ,Zhao K.","GEOID":"GSE14308","EXACT_SOURCE":"GSE14308_1113_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of Th17 cells versus induced regulatory T cell (Treg).","DESCRIPTION_FULL":"Multipotential naïve CD4+ T cells differentiate into distinct lineages including T helper 1 (Th1), Th2, Th17, and inducible T regulatory (iTreg) cells. The remarkable diversity of CD4+ T cells begs the question whether the observed changes reflect terminal differentiation with heritable epigenetic modifications or plasticity in T cell responses. We generated genome-wide histone H3 lysine 4 (H3K4) and lysine 27 (H3K27) trimethylation maps in naïve, Th1, Th2, Th17, iTreg, and natural (n)Treg cells. We found that although modifications of signature cytokine genes (Ifng, Il4, and Il17) partially conform to the expectation of lineage commitment, critical transcription factors such as Tbx21 exhibit a broad spectrum of epigenetic states, consistent with our demonstration of T-bet and IFN-gamma induction in nTreg cells. Our data suggest an epigenetic mechanism underlying the specificity and plasticity of effector and regulatory T cells and also provide a framework for understanding complexity of CD4+ T helper cell differentiation."}
{"STANDARD_NAME":"GSE14308_TH17_VS_NATURAL_TREG_UP","SYSTEMATIC_NAME":"M3388","ORGANISM":"Mus musculus","PMID":"19144320","AUTHORS":"Wei G,Wei L,Zhu J,Zang C,Hu-Li J,Yao Z,Cui K,Kanno Y,Roh TY,Watford WT,Schones DE,Peng W,Sun HW,Paul WE,O'Shea JJ,Zhao K.","GEOID":"GSE14308","EXACT_SOURCE":"GSE14308_1114_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of Th17 cells versus natural regulatory T cell (Treg).","DESCRIPTION_FULL":"Multipotential naïve CD4+ T cells differentiate into distinct lineages including T helper 1 (Th1), Th2, Th17, and inducible T regulatory (iTreg) cells. The remarkable diversity of CD4+ T cells begs the question whether the observed changes reflect terminal differentiation with heritable epigenetic modifications or plasticity in T cell responses. We generated genome-wide histone H3 lysine 4 (H3K4) and lysine 27 (H3K27) trimethylation maps in naïve, Th1, Th2, Th17, iTreg, and natural (n)Treg cells. We found that although modifications of signature cytokine genes (Ifng, Il4, and Il17) partially conform to the expectation of lineage commitment, critical transcription factors such as Tbx21 exhibit a broad spectrum of epigenetic states, consistent with our demonstration of T-bet and IFN-gamma induction in nTreg cells. Our data suggest an epigenetic mechanism underlying the specificity and plasticity of effector and regulatory T cells and also provide a framework for understanding complexity of CD4+ T helper cell differentiation."}
{"STANDARD_NAME":"GSE14308_TH17_VS_NATURAL_TREG_DN","SYSTEMATIC_NAME":"M3390","ORGANISM":"Mus musculus","PMID":"19144320","AUTHORS":"Wei G,Wei L,Zhu J,Zang C,Hu-Li J,Yao Z,Cui K,Kanno Y,Roh TY,Watford WT,Schones DE,Peng W,Sun HW,Paul WE,O'Shea JJ,Zhao K.","GEOID":"GSE14308","EXACT_SOURCE":"GSE14308_1114_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of Th17 cells versus natural regulatory T cell (Treg).","DESCRIPTION_FULL":"Multipotential naïve CD4+ T cells differentiate into distinct lineages including T helper 1 (Th1), Th2, Th17, and inducible T regulatory (iTreg) cells. The remarkable diversity of CD4+ T cells begs the question whether the observed changes reflect terminal differentiation with heritable epigenetic modifications or plasticity in T cell responses. We generated genome-wide histone H3 lysine 4 (H3K4) and lysine 27 (H3K27) trimethylation maps in naïve, Th1, Th2, Th17, iTreg, and natural (n)Treg cells. We found that although modifications of signature cytokine genes (Ifng, Il4, and Il17) partially conform to the expectation of lineage commitment, critical transcription factors such as Tbx21 exhibit a broad spectrum of epigenetic states, consistent with our demonstration of T-bet and IFN-gamma induction in nTreg cells. Our data suggest an epigenetic mechanism underlying the specificity and plasticity of effector and regulatory T cells and also provide a framework for understanding complexity of CD4+ T helper cell differentiation."}
{"STANDARD_NAME":"GSE14308_NAIVE_CD4_TCELL_VS_INDUCED_TREG_UP","SYSTEMATIC_NAME":"M3391","ORGANISM":"Mus musculus","PMID":"19144320","AUTHORS":"Wei G,Wei L,Zhu J,Zang C,Hu-Li J,Yao Z,Cui K,Kanno Y,Roh TY,Watford WT,Schones DE,Peng W,Sun HW,Paul WE,O'Shea JJ,Zhao K.","GEOID":"GSE14308","EXACT_SOURCE":"GSE14308_1115_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive CD4 [GeneID=920] T cells versus induced regulatory T cell (Treg).","DESCRIPTION_FULL":"Multipotential naïve CD4+ T cells differentiate into distinct lineages including T helper 1 (Th1), Th2, Th17, and inducible T regulatory (iTreg) cells. The remarkable diversity of CD4+ T cells begs the question whether the observed changes reflect terminal differentiation with heritable epigenetic modifications or plasticity in T cell responses. We generated genome-wide histone H3 lysine 4 (H3K4) and lysine 27 (H3K27) trimethylation maps in naïve, Th1, Th2, Th17, iTreg, and natural (n)Treg cells. We found that although modifications of signature cytokine genes (Ifng, Il4, and Il17) partially conform to the expectation of lineage commitment, critical transcription factors such as Tbx21 exhibit a broad spectrum of epigenetic states, consistent with our demonstration of T-bet and IFN-gamma induction in nTreg cells. Our data suggest an epigenetic mechanism underlying the specificity and plasticity of effector and regulatory T cells and also provide a framework for understanding complexity of CD4+ T helper cell differentiation."}
{"STANDARD_NAME":"GSE14308_NAIVE_CD4_TCELL_VS_INDUCED_TREG_DN","SYSTEMATIC_NAME":"M3392","ORGANISM":"Mus musculus","PMID":"19144320","AUTHORS":"Wei G,Wei L,Zhu J,Zang C,Hu-Li J,Yao Z,Cui K,Kanno Y,Roh TY,Watford WT,Schones DE,Peng W,Sun HW,Paul WE,O'Shea JJ,Zhao K.","GEOID":"GSE14308","EXACT_SOURCE":"GSE14308_1115_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive CD4 [GeneID=920] T cells versus induced regulatory T cell (Treg).","DESCRIPTION_FULL":"Multipotential naïve CD4+ T cells differentiate into distinct lineages including T helper 1 (Th1), Th2, Th17, and inducible T regulatory (iTreg) cells. The remarkable diversity of CD4+ T cells begs the question whether the observed changes reflect terminal differentiation with heritable epigenetic modifications or plasticity in T cell responses. We generated genome-wide histone H3 lysine 4 (H3K4) and lysine 27 (H3K27) trimethylation maps in naïve, Th1, Th2, Th17, iTreg, and natural (n)Treg cells. We found that although modifications of signature cytokine genes (Ifng, Il4, and Il17) partially conform to the expectation of lineage commitment, critical transcription factors such as Tbx21 exhibit a broad spectrum of epigenetic states, consistent with our demonstration of T-bet and IFN-gamma induction in nTreg cells. Our data suggest an epigenetic mechanism underlying the specificity and plasticity of effector and regulatory T cells and also provide a framework for understanding complexity of CD4+ T helper cell differentiation."}
{"STANDARD_NAME":"GSE14308_NAIVE_CD4_TCELL_VS_NATURAL_TREG_UP","SYSTEMATIC_NAME":"M3393","ORGANISM":"Mus musculus","PMID":"19144320","AUTHORS":"Wei G,Wei L,Zhu J,Zang C,Hu-Li J,Yao Z,Cui K,Kanno Y,Roh TY,Watford WT,Schones DE,Peng W,Sun HW,Paul WE,O'Shea JJ,Zhao K.","GEOID":"GSE14308","EXACT_SOURCE":"GSE14308_1116_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive CD4 [GeneID=920] T cells versus natural regulatory T cell (Treg).","DESCRIPTION_FULL":"Multipotential naïve CD4+ T cells differentiate into distinct lineages including T helper 1 (Th1), Th2, Th17, and inducible T regulatory (iTreg) cells. The remarkable diversity of CD4+ T cells begs the question whether the observed changes reflect terminal differentiation with heritable epigenetic modifications or plasticity in T cell responses. We generated genome-wide histone H3 lysine 4 (H3K4) and lysine 27 (H3K27) trimethylation maps in naïve, Th1, Th2, Th17, iTreg, and natural (n)Treg cells. We found that although modifications of signature cytokine genes (Ifng, Il4, and Il17) partially conform to the expectation of lineage commitment, critical transcription factors such as Tbx21 exhibit a broad spectrum of epigenetic states, consistent with our demonstration of T-bet and IFN-gamma induction in nTreg cells. Our data suggest an epigenetic mechanism underlying the specificity and plasticity of effector and regulatory T cells and also provide a framework for understanding complexity of CD4+ T helper cell differentiation."}
{"STANDARD_NAME":"GSE14308_NAIVE_CD4_TCELL_VS_NATURAL_TREG_DN","SYSTEMATIC_NAME":"M3394","ORGANISM":"Mus musculus","PMID":"19144320","AUTHORS":"Wei G,Wei L,Zhu J,Zang C,Hu-Li J,Yao Z,Cui K,Kanno Y,Roh TY,Watford WT,Schones DE,Peng W,Sun HW,Paul WE,O'Shea JJ,Zhao K.","GEOID":"GSE14308","EXACT_SOURCE":"GSE14308_1116_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive CD4 [GeneID=920] T cells versus natural regulatory T cell (Treg).","DESCRIPTION_FULL":"Multipotential naïve CD4+ T cells differentiate into distinct lineages including T helper 1 (Th1), Th2, Th17, and inducible T regulatory (iTreg) cells. The remarkable diversity of CD4+ T cells begs the question whether the observed changes reflect terminal differentiation with heritable epigenetic modifications or plasticity in T cell responses. We generated genome-wide histone H3 lysine 4 (H3K4) and lysine 27 (H3K27) trimethylation maps in naïve, Th1, Th2, Th17, iTreg, and natural (n)Treg cells. We found that although modifications of signature cytokine genes (Ifng, Il4, and Il17) partially conform to the expectation of lineage commitment, critical transcription factors such as Tbx21 exhibit a broad spectrum of epigenetic states, consistent with our demonstration of T-bet and IFN-gamma induction in nTreg cells. Our data suggest an epigenetic mechanism underlying the specificity and plasticity of effector and regulatory T cells and also provide a framework for understanding complexity of CD4+ T helper cell differentiation."}
{"STANDARD_NAME":"GSE14308_INDUCED_VS_NATURAL_TREG_UP","SYSTEMATIC_NAME":"M3396","ORGANISM":"Mus musculus","PMID":"19144320","AUTHORS":"Wei G,Wei L,Zhu J,Zang C,Hu-Li J,Yao Z,Cui K,Kanno Y,Roh TY,Watford WT,Schones DE,Peng W,Sun HW,Paul WE,O'Shea JJ,Zhao K.","GEOID":"GSE14308","EXACT_SOURCE":"GSE14308_1117_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of induced regulatory T cell (Treg) versus natural regulatory T cell (Treg).","DESCRIPTION_FULL":"Multipotential naïve CD4+ T cells differentiate into distinct lineages including T helper 1 (Th1), Th2, Th17, and inducible T regulatory (iTreg) cells. The remarkable diversity of CD4+ T cells begs the question whether the observed changes reflect terminal differentiation with heritable epigenetic modifications or plasticity in T cell responses. We generated genome-wide histone H3 lysine 4 (H3K4) and lysine 27 (H3K27) trimethylation maps in naïve, Th1, Th2, Th17, iTreg, and natural (n)Treg cells. We found that although modifications of signature cytokine genes (Ifng, Il4, and Il17) partially conform to the expectation of lineage commitment, critical transcription factors such as Tbx21 exhibit a broad spectrum of epigenetic states, consistent with our demonstration of T-bet and IFN-gamma induction in nTreg cells. Our data suggest an epigenetic mechanism underlying the specificity and plasticity of effector and regulatory T cells and also provide a framework for understanding complexity of CD4+ T helper cell differentiation."}
{"STANDARD_NAME":"GSE14308_INDUCED_VS_NATURAL_TREG_DN","SYSTEMATIC_NAME":"M3399","ORGANISM":"Mus musculus","PMID":"19144320","AUTHORS":"Wei G,Wei L,Zhu J,Zang C,Hu-Li J,Yao Z,Cui K,Kanno Y,Roh TY,Watford WT,Schones DE,Peng W,Sun HW,Paul WE,O'Shea JJ,Zhao K.","GEOID":"GSE14308","EXACT_SOURCE":"GSE14308_1117_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of induced regulatory T cell (Treg) versus natural regulatory T cell (Treg).","DESCRIPTION_FULL":"Multipotential naïve CD4+ T cells differentiate into distinct lineages including T helper 1 (Th1), Th2, Th17, and inducible T regulatory (iTreg) cells. The remarkable diversity of CD4+ T cells begs the question whether the observed changes reflect terminal differentiation with heritable epigenetic modifications or plasticity in T cell responses. We generated genome-wide histone H3 lysine 4 (H3K4) and lysine 27 (H3K27) trimethylation maps in naïve, Th1, Th2, Th17, iTreg, and natural (n)Treg cells. We found that although modifications of signature cytokine genes (Ifng, Il4, and Il17) partially conform to the expectation of lineage commitment, critical transcription factors such as Tbx21 exhibit a broad spectrum of epigenetic states, consistent with our demonstration of T-bet and IFN-gamma induction in nTreg cells. Our data suggest an epigenetic mechanism underlying the specificity and plasticity of effector and regulatory T cells and also provide a framework for understanding complexity of CD4+ T helper cell differentiation."}
{"STANDARD_NAME":"GSE1432_CTRL_VS_IFNG_1H_MICROGLIA_UP","SYSTEMATIC_NAME":"M3400","ORGANISM":"Homo sapiens","PMID":"16163375","AUTHORS":"Rock RB,Hu S,Deshpande A,Munir S,May BJ,Baker CA,Peterson PK,Kapur V.","GEOID":"GSE1432","EXACT_SOURCE":"GSE1432_1753_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control microglia cells versus those 1 h after stimulation with IFNG [GeneID=3458].","DESCRIPTION_FULL":"Microglial cells are resident macrophages in the central nervous system (CNS) and play a pivotal role in the innate and adaptive immune responses against microbial infections. The immune functions of microglia are regulated by a milieu of cytokines including interferon (IFN)-gamma. We here performed a series of experiments to acertain the transcriptional profile of human fetal microglial cells at 1, 6, and 24 h after IFN-gamma treatment. Primary human microglial cells were either untreated or treated with 200u/ml IFN-gamma. Affymetrix U133A chips were utilized. Four different tissue samples (B18, O, W, and Y20) were analyzed at the three time points."}
{"STANDARD_NAME":"GSE1432_CTRL_VS_IFNG_1H_MICROGLIA_DN","SYSTEMATIC_NAME":"M3401","ORGANISM":"Homo sapiens","PMID":"16163375","AUTHORS":"Rock RB,Hu S,Deshpande A,Munir S,May BJ,Baker CA,Peterson PK,Kapur V.","GEOID":"GSE1432","EXACT_SOURCE":"GSE1432_1753_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control microglia cells versus those 1 h after stimulation with IFNG [GeneID=3458].","DESCRIPTION_FULL":"Microglial cells are resident macrophages in the central nervous system (CNS) and play a pivotal role in the innate and adaptive immune responses against microbial infections. The immune functions of microglia are regulated by a milieu of cytokines including interferon (IFN)-gamma. We here performed a series of experiments to acertain the transcriptional profile of human fetal microglial cells at 1, 6, and 24 h after IFN-gamma treatment. Primary human microglial cells were either untreated or treated with 200u/ml IFN-gamma. Affymetrix U133A chips were utilized. Four different tissue samples (B18, O, W, and Y20) were analyzed at the three time points."}
{"STANDARD_NAME":"GSE1432_CTRL_VS_IFNG_6H_MICROGLIA_UP","SYSTEMATIC_NAME":"M3404","ORGANISM":"Homo sapiens","PMID":"16163375","AUTHORS":"Rock RB,Hu S,Deshpande A,Munir S,May BJ,Baker CA,Peterson PK,Kapur V.","GEOID":"GSE1432","EXACT_SOURCE":"GSE1432_1754_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control microglia cells versus those 6 h after stimulation with IFNG [GeneID=3458].","DESCRIPTION_FULL":"Microglial cells are resident macrophages in the central nervous system (CNS) and play a pivotal role in the innate and adaptive immune responses against microbial infections. The immune functions of microglia are regulated by a milieu of cytokines including interferon (IFN)-gamma. We here performed a series of experiments to acertain the transcriptional profile of human fetal microglial cells at 1, 6, and 24 h after IFN-gamma treatment. Primary human microglial cells were either untreated or treated with 200u/ml IFN-gamma. Affymetrix U133A chips were utilized. Four different tissue samples (B18, O, W, and Y20) were analyzed at the three time points."}
{"STANDARD_NAME":"GSE1432_CTRL_VS_IFNG_6H_MICROGLIA_DN","SYSTEMATIC_NAME":"M3405","ORGANISM":"Homo sapiens","PMID":"16163375","AUTHORS":"Rock RB,Hu S,Deshpande A,Munir S,May BJ,Baker CA,Peterson PK,Kapur V.","GEOID":"GSE1432","EXACT_SOURCE":"GSE1432_1754_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control microglia cells versus those 6 h after stimulation with IFNG [GeneID=3458].","DESCRIPTION_FULL":"Microglial cells are resident macrophages in the central nervous system (CNS) and play a pivotal role in the innate and adaptive immune responses against microbial infections. The immune functions of microglia are regulated by a milieu of cytokines including interferon (IFN)-gamma. We here performed a series of experiments to acertain the transcriptional profile of human fetal microglial cells at 1, 6, and 24 h after IFN-gamma treatment. Primary human microglial cells were either untreated or treated with 200u/ml IFN-gamma. Affymetrix U133A chips were utilized. Four different tissue samples (B18, O, W, and Y20) were analyzed at the three time points."}
{"STANDARD_NAME":"GSE1432_CTRL_VS_IFNG_24H_MICROGLIA_UP","SYSTEMATIC_NAME":"M3407","ORGANISM":"Homo sapiens","PMID":"16163375","AUTHORS":"Rock RB,Hu S,Deshpande A,Munir S,May BJ,Baker CA,Peterson PK,Kapur V.","GEOID":"GSE1432","EXACT_SOURCE":"GSE1432_1755_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control microglia cells versus those 24 h after stimulation with IFNG [GeneID=3458].","DESCRIPTION_FULL":"Microglial cells are resident macrophages in the central nervous system (CNS) and play a pivotal role in the innate and adaptive immune responses against microbial infections. The immune functions of microglia are regulated by a milieu of cytokines including interferon (IFN)-gamma. We here performed a series of experiments to acertain the transcriptional profile of human fetal microglial cells at 1, 6, and 24 h after IFN-gamma treatment. Primary human microglial cells were either untreated or treated with 200u/ml IFN-gamma. Affymetrix U133A chips were utilized. Four different tissue samples (B18, O, W, and Y20) were analyzed at the three time points."}
{"STANDARD_NAME":"GSE1432_CTRL_VS_IFNG_24H_MICROGLIA_DN","SYSTEMATIC_NAME":"M3408","ORGANISM":"Homo sapiens","PMID":"16163375","AUTHORS":"Rock RB,Hu S,Deshpande A,Munir S,May BJ,Baker CA,Peterson PK,Kapur V.","GEOID":"GSE1432","EXACT_SOURCE":"GSE1432_1755_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control microglia cells versus those 24 h after stimulation with IFNG [GeneID=3458].","DESCRIPTION_FULL":"Microglial cells are resident macrophages in the central nervous system (CNS) and play a pivotal role in the innate and adaptive immune responses against microbial infections. The immune functions of microglia are regulated by a milieu of cytokines including interferon (IFN)-gamma. We here performed a series of experiments to acertain the transcriptional profile of human fetal microglial cells at 1, 6, and 24 h after IFN-gamma treatment. Primary human microglial cells were either untreated or treated with 200u/ml IFN-gamma. Affymetrix U133A chips were utilized. Four different tissue samples (B18, O, W, and Y20) were analyzed at the three time points."}
{"STANDARD_NAME":"GSE1432_1H_VS_6H_IFNG_MICROGLIA_UP","SYSTEMATIC_NAME":"M3409","ORGANISM":"Homo sapiens","PMID":"16163375","AUTHORS":"Rock RB,Hu S,Deshpande A,Munir S,May BJ,Baker CA,Peterson PK,Kapur V.","GEOID":"GSE1432","EXACT_SOURCE":"GSE1432_1756_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of microglia cells 1 h after stimulation with IFNG [GeneID=3458] versus microglia cells 6 h after the stimulation.","DESCRIPTION_FULL":"Microglial cells are resident macrophages in the central nervous system (CNS) and play a pivotal role in the innate and adaptive immune responses against microbial infections. The immune functions of microglia are regulated by a milieu of cytokines including interferon (IFN)-gamma. We here performed a series of experiments to acertain the transcriptional profile of human fetal microglial cells at 1, 6, and 24 h after IFN-gamma treatment. Primary human microglial cells were either untreated or treated with 200u/ml IFN-gamma. Affymetrix U133A chips were utilized. Four different tissue samples (B18, O, W, and Y20) were analyzed at the three time points."}
{"STANDARD_NAME":"GSE1432_1H_VS_6H_IFNG_MICROGLIA_DN","SYSTEMATIC_NAME":"M3411","ORGANISM":"Homo sapiens","PMID":"16163375","AUTHORS":"Rock RB,Hu S,Deshpande A,Munir S,May BJ,Baker CA,Peterson PK,Kapur V.","GEOID":"GSE1432","EXACT_SOURCE":"GSE1432_1756_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of microglia cells 1 h after stimulation with IFNG [GeneID=3458] versus microglia cells 6 h after the stimulation.","DESCRIPTION_FULL":"Microglial cells are resident macrophages in the central nervous system (CNS) and play a pivotal role in the innate and adaptive immune responses against microbial infections. The immune functions of microglia are regulated by a milieu of cytokines including interferon (IFN)-gamma. We here performed a series of experiments to acertain the transcriptional profile of human fetal microglial cells at 1, 6, and 24 h after IFN-gamma treatment. Primary human microglial cells were either untreated or treated with 200u/ml IFN-gamma. Affymetrix U133A chips were utilized. Four different tissue samples (B18, O, W, and Y20) were analyzed at the three time points."}
{"STANDARD_NAME":"GSE1432_1H_VS_24H_IFNG_MICROGLIA_UP","SYSTEMATIC_NAME":"M3413","ORGANISM":"Homo sapiens","PMID":"16163375","AUTHORS":"Rock RB,Hu S,Deshpande A,Munir S,May BJ,Baker CA,Peterson PK,Kapur V.","GEOID":"GSE1432","EXACT_SOURCE":"GSE1432_1757_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of microglia cells 1 h after stimulation with IFNG [GeneID=3458] versus microglia cells 24 h after the stimulation.","DESCRIPTION_FULL":"Microglial cells are resident macrophages in the central nervous system (CNS) and play a pivotal role in the innate and adaptive immune responses against microbial infections. The immune functions of microglia are regulated by a milieu of cytokines including interferon (IFN)-gamma. We here performed a series of experiments to acertain the transcriptional profile of human fetal microglial cells at 1, 6, and 24 h after IFN-gamma treatment. Primary human microglial cells were either untreated or treated with 200u/ml IFN-gamma. Affymetrix U133A chips were utilized. Four different tissue samples (B18, O, W, and Y20) were analyzed at the three time points."}
{"STANDARD_NAME":"GSE1432_1H_VS_24H_IFNG_MICROGLIA_DN","SYSTEMATIC_NAME":"M3414","ORGANISM":"Homo sapiens","PMID":"16163375","AUTHORS":"Rock RB,Hu S,Deshpande A,Munir S,May BJ,Baker CA,Peterson PK,Kapur V.","GEOID":"GSE1432","EXACT_SOURCE":"GSE1432_1757_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of microglia cells 1 h after stimulation with IFNG [GeneID=3458] versus microglia cells 24 h after the stimulation.","DESCRIPTION_FULL":"Microglial cells are resident macrophages in the central nervous system (CNS) and play a pivotal role in the innate and adaptive immune responses against microbial infections. The immune functions of microglia are regulated by a milieu of cytokines including interferon (IFN)-gamma. We here performed a series of experiments to acertain the transcriptional profile of human fetal microglial cells at 1, 6, and 24 h after IFN-gamma treatment. Primary human microglial cells were either untreated or treated with 200u/ml IFN-gamma. Affymetrix U133A chips were utilized. Four different tissue samples (B18, O, W, and Y20) were analyzed at the three time points."}
{"STANDARD_NAME":"GSE1432_6H_VS_24H_IFNG_MICROGLIA_UP","SYSTEMATIC_NAME":"M3415","ORGANISM":"Homo sapiens","PMID":"16163375","AUTHORS":"Rock RB,Hu S,Deshpande A,Munir S,May BJ,Baker CA,Peterson PK,Kapur V.","GEOID":"GSE1432","EXACT_SOURCE":"GSE1432_1758_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of microglia cells 6 h after stimulation with IFNG [GeneID=3458] versus microglia cells 24 h after the stimulation.","DESCRIPTION_FULL":"Microglial cells are resident macrophages in the central nervous system (CNS) and play a pivotal role in the innate and adaptive immune responses against microbial infections. The immune functions of microglia are regulated by a milieu of cytokines including interferon (IFN)-gamma. We here performed a series of experiments to acertain the transcriptional profile of human fetal microglial cells at 1, 6, and 24 h after IFN-gamma treatment. Primary human microglial cells were either untreated or treated with 200u/ml IFN-gamma. Affymetrix U133A chips were utilized. Four different tissue samples (B18, O, W, and Y20) were analyzed at the three time points."}
{"STANDARD_NAME":"GSE1432_6H_VS_24H_IFNG_MICROGLIA_DN","SYSTEMATIC_NAME":"M3416","ORGANISM":"Homo sapiens","PMID":"16163375","AUTHORS":"Rock RB,Hu S,Deshpande A,Munir S,May BJ,Baker CA,Peterson PK,Kapur V.","GEOID":"GSE1432","EXACT_SOURCE":"GSE1432_1758_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of microglia cells 6 h after stimulation with IFNG [GeneID=3458] versus microglia cells 24 h after the stimulation.","DESCRIPTION_FULL":"Microglial cells are resident macrophages in the central nervous system (CNS) and play a pivotal role in the innate and adaptive immune responses against microbial infections. The immune functions of microglia are regulated by a milieu of cytokines including interferon (IFN)-gamma. We here performed a series of experiments to acertain the transcriptional profile of human fetal microglial cells at 1, 6, and 24 h after IFN-gamma treatment. Primary human microglial cells were either untreated or treated with 200u/ml IFN-gamma. Affymetrix U133A chips were utilized. Four different tissue samples (B18, O, W, and Y20) were analyzed at the three time points."}
{"STANDARD_NAME":"GSE14350_TREG_VS_TEFF_UP","SYSTEMATIC_NAME":"M3417","ORGANISM":"Mus musculus","PMID":"19185518","AUTHORS":"Yu A,Zhu L,Altman NH,Malek TR.","GEOID":"GSE14350","EXACT_SOURCE":"GSE14350_1118_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of regulatory T cell (Treg) versus effector T cells.","DESCRIPTION_FULL":"Interleukin-2 receptor (IL-2R) signaling is essential for T regulatory (Treg) cell development and homeostasis. Here we show that expression of IL-2Rbeta chains that lack tyrosine residues important for the association of the adaptor Shc and the transcription factor STAT5 in IL-2Rbeta-deficient mice resulted in production of a normal proportion of natural Treg cells that suppressed severe autoimmunity related with deficiency in IL-2 or IL-2R. These mutant IL-2Rbeta chains supported suboptimal and transient STAT5 activation that upregulate the transcription factor Foxp3 to normal amounts in natural, but not induced, Treg cells. Using cells T cell obtained from normal C57BL/6 mice and mice harboring Treg cells with impaired IL-2R signaling, gene expression profiling revealed many targets in peripheral natural Treg cells that were IL-2-dependent and a substantial overlap between the Treg cell IL-2-dependent gene program and the Treg cell transcriptional signature. Collectively, these findings demonstrate that a critical, and perhaps minor, subset of IL-2-dependent targets in Treg cells is indexed to a low IL-2R signaling threshold and that a substantial proportion of the Treg cell gene program is regulated by IL-2. CD4 T effector cells also showed many IL-2R-dependent gene and these also overlapped in a distintive manner with the IL-2-dependent genes of Treg cells and the Treg gene signature."}
{"STANDARD_NAME":"GSE14350_TREG_VS_TEFF_DN","SYSTEMATIC_NAME":"M3418","ORGANISM":"Mus musculus","PMID":"19185518","AUTHORS":"Yu A,Zhu L,Altman NH,Malek TR.","GEOID":"GSE14350","EXACT_SOURCE":"GSE14350_1118_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of regulatory T cell (Treg) versus effector T cells.","DESCRIPTION_FULL":"Interleukin-2 receptor (IL-2R) signaling is essential for T regulatory (Treg) cell development and homeostasis. Here we show that expression of IL-2Rbeta chains that lack tyrosine residues important for the association of the adaptor Shc and the transcription factor STAT5 in IL-2Rbeta-deficient mice resulted in production of a normal proportion of natural Treg cells that suppressed severe autoimmunity related with deficiency in IL-2 or IL-2R. These mutant IL-2Rbeta chains supported suboptimal and transient STAT5 activation that upregulate the transcription factor Foxp3 to normal amounts in natural, but not induced, Treg cells. Using cells T cell obtained from normal C57BL/6 mice and mice harboring Treg cells with impaired IL-2R signaling, gene expression profiling revealed many targets in peripheral natural Treg cells that were IL-2-dependent and a substantial overlap between the Treg cell IL-2-dependent gene program and the Treg cell transcriptional signature. Collectively, these findings demonstrate that a critical, and perhaps minor, subset of IL-2-dependent targets in Treg cells is indexed to a low IL-2R signaling threshold and that a substantial proportion of the Treg cell gene program is regulated by IL-2. CD4 T effector cells also showed many IL-2R-dependent gene and these also overlapped in a distintive manner with the IL-2-dependent genes of Treg cells and the Treg gene signature."}
{"STANDARD_NAME":"GSE14350_TREG_VS_TEFF_IN_IL2RB_KO_UP","SYSTEMATIC_NAME":"M3419","ORGANISM":"Mus musculus","PMID":"19185518","AUTHORS":"Yu A,Zhu L,Altman NH,Malek TR.","GEOID":"GSE14350","EXACT_SOURCE":"GSE14350_1119_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of regulatory T cell (Treg) from IL2RB [GeneID=3560] defficient mice versus effector T cells from IL2RB [GeneID=3560] defficient mice.","DESCRIPTION_FULL":"Interleukin-2 receptor (IL-2R) signaling is essential for T regulatory (Treg) cell development and homeostasis. Here we show that expression of IL-2Rbeta chains that lack tyrosine residues important for the association of the adaptor Shc and the transcription factor STAT5 in IL-2Rbeta-deficient mice resulted in production of a normal proportion of natural Treg cells that suppressed severe autoimmunity related with deficiency in IL-2 or IL-2R. These mutant IL-2Rbeta chains supported suboptimal and transient STAT5 activation that upregulate the transcription factor Foxp3 to normal amounts in natural, but not induced, Treg cells. Using cells T cell obtained from normal C57BL/6 mice and mice harboring Treg cells with impaired IL-2R signaling, gene expression profiling revealed many targets in peripheral natural Treg cells that were IL-2-dependent and a substantial overlap between the Treg cell IL-2-dependent gene program and the Treg cell transcriptional signature. Collectively, these findings demonstrate that a critical, and perhaps minor, subset of IL-2-dependent targets in Treg cells is indexed to a low IL-2R signaling threshold and that a substantial proportion of the Treg cell gene program is regulated by IL-2. CD4 T effector cells also showed many IL-2R-dependent gene and these also overlapped in a distintive manner with the IL-2-dependent genes of Treg cells and the Treg gene signature."}
{"STANDARD_NAME":"GSE14350_TREG_VS_TEFF_IN_IL2RB_KO_DN","SYSTEMATIC_NAME":"M3420","ORGANISM":"Mus musculus","PMID":"19185518","AUTHORS":"Yu A,Zhu L,Altman NH,Malek TR.","GEOID":"GSE14350","EXACT_SOURCE":"GSE14350_1119_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of regulatory T cell (Treg) from IL2RB [GeneID=3560] defficient mice versus effector T cells from IL2RB [GeneID=3560] defficient mice.","DESCRIPTION_FULL":"Interleukin-2 receptor (IL-2R) signaling is essential for T regulatory (Treg) cell development and homeostasis. Here we show that expression of IL-2Rbeta chains that lack tyrosine residues important for the association of the adaptor Shc and the transcription factor STAT5 in IL-2Rbeta-deficient mice resulted in production of a normal proportion of natural Treg cells that suppressed severe autoimmunity related with deficiency in IL-2 or IL-2R. These mutant IL-2Rbeta chains supported suboptimal and transient STAT5 activation that upregulate the transcription factor Foxp3 to normal amounts in natural, but not induced, Treg cells. Using cells T cell obtained from normal C57BL/6 mice and mice harboring Treg cells with impaired IL-2R signaling, gene expression profiling revealed many targets in peripheral natural Treg cells that were IL-2-dependent and a substantial overlap between the Treg cell IL-2-dependent gene program and the Treg cell transcriptional signature. Collectively, these findings demonstrate that a critical, and perhaps minor, subset of IL-2-dependent targets in Treg cells is indexed to a low IL-2R signaling threshold and that a substantial proportion of the Treg cell gene program is regulated by IL-2. CD4 T effector cells also showed many IL-2R-dependent gene and these also overlapped in a distintive manner with the IL-2-dependent genes of Treg cells and the Treg gene signature."}
{"STANDARD_NAME":"GSE14350_IL2RB_KO_VS_WT_TREG_UP","SYSTEMATIC_NAME":"M3421","ORGANISM":"Mus musculus","PMID":"19185518","AUTHORS":"Yu A,Zhu L,Altman NH,Malek TR.","GEOID":"GSE14350","EXACT_SOURCE":"GSE14350_1120_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of regulatory T cell (Treg) from IL2RB [GeneID=3560] defficient mice versus regulatory T cell (Treg) from wild type animals.","DESCRIPTION_FULL":"Interleukin-2 receptor (IL-2R) signaling is essential for T regulatory (Treg) cell development and homeostasis. Here we show that expression of IL-2Rbeta chains that lack tyrosine residues important for the association of the adaptor Shc and the transcription factor STAT5 in IL-2Rbeta-deficient mice resulted in production of a normal proportion of natural Treg cells that suppressed severe autoimmunity related with deficiency in IL-2 or IL-2R. These mutant IL-2Rbeta chains supported suboptimal and transient STAT5 activation that upregulate the transcription factor Foxp3 to normal amounts in natural, but not induced, Treg cells. Using cells T cell obtained from normal C57BL/6 mice and mice harboring Treg cells with impaired IL-2R signaling, gene expression profiling revealed many targets in peripheral natural Treg cells that were IL-2-dependent and a substantial overlap between the Treg cell IL-2-dependent gene program and the Treg cell transcriptional signature. Collectively, these findings demonstrate that a critical, and perhaps minor, subset of IL-2-dependent targets in Treg cells is indexed to a low IL-2R signaling threshold and that a substantial proportion of the Treg cell gene program is regulated by IL-2. CD4 T effector cells also showed many IL-2R-dependent gene and these also overlapped in a distintive manner with the IL-2-dependent genes of Treg cells and the Treg gene signature."}
{"STANDARD_NAME":"GSE14350_IL2RB_KO_VS_WT_TREG_DN","SYSTEMATIC_NAME":"M3422","ORGANISM":"Mus musculus","PMID":"19185518","AUTHORS":"Yu A,Zhu L,Altman NH,Malek TR.","GEOID":"GSE14350","EXACT_SOURCE":"GSE14350_1120_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of regulatory T cell (Treg) from IL2RB [GeneID=3560] defficient mice versus regulatory T cell (Treg) from wild type animals.","DESCRIPTION_FULL":"Interleukin-2 receptor (IL-2R) signaling is essential for T regulatory (Treg) cell development and homeostasis. Here we show that expression of IL-2Rbeta chains that lack tyrosine residues important for the association of the adaptor Shc and the transcription factor STAT5 in IL-2Rbeta-deficient mice resulted in production of a normal proportion of natural Treg cells that suppressed severe autoimmunity related with deficiency in IL-2 or IL-2R. These mutant IL-2Rbeta chains supported suboptimal and transient STAT5 activation that upregulate the transcription factor Foxp3 to normal amounts in natural, but not induced, Treg cells. Using cells T cell obtained from normal C57BL/6 mice and mice harboring Treg cells with impaired IL-2R signaling, gene expression profiling revealed many targets in peripheral natural Treg cells that were IL-2-dependent and a substantial overlap between the Treg cell IL-2-dependent gene program and the Treg cell transcriptional signature. Collectively, these findings demonstrate that a critical, and perhaps minor, subset of IL-2-dependent targets in Treg cells is indexed to a low IL-2R signaling threshold and that a substantial proportion of the Treg cell gene program is regulated by IL-2. CD4 T effector cells also showed many IL-2R-dependent gene and these also overlapped in a distintive manner with the IL-2-dependent genes of Treg cells and the Treg gene signature."}
{"STANDARD_NAME":"GSE14350_IL2RB_KO_VS_WT_TEFF_UP","SYSTEMATIC_NAME":"M3423","ORGANISM":"Mus musculus","PMID":"19185518","AUTHORS":"Yu A,Zhu L,Altman NH,Malek TR.","GEOID":"GSE14350","EXACT_SOURCE":"GSE14350_1121_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of effector T cells from IL2RB [GeneID=3560] defficient mice versus effector T cells from wild type animals.","DESCRIPTION_FULL":"Interleukin-2 receptor (IL-2R) signaling is essential for T regulatory (Treg) cell development and homeostasis. Here we show that expression of IL-2Rbeta chains that lack tyrosine residues important for the association of the adaptor Shc and the transcription factor STAT5 in IL-2Rbeta-deficient mice resulted in production of a normal proportion of natural Treg cells that suppressed severe autoimmunity related with deficiency in IL-2 or IL-2R. These mutant IL-2Rbeta chains supported suboptimal and transient STAT5 activation that upregulate the transcription factor Foxp3 to normal amounts in natural, but not induced, Treg cells. Using cells T cell obtained from normal C57BL/6 mice and mice harboring Treg cells with impaired IL-2R signaling, gene expression profiling revealed many targets in peripheral natural Treg cells that were IL-2-dependent and a substantial overlap between the Treg cell IL-2-dependent gene program and the Treg cell transcriptional signature. Collectively, these findings demonstrate that a critical, and perhaps minor, subset of IL-2-dependent targets in Treg cells is indexed to a low IL-2R signaling threshold and that a substantial proportion of the Treg cell gene program is regulated by IL-2. CD4 T effector cells also showed many IL-2R-dependent gene and these also overlapped in a distintive manner with the IL-2-dependent genes of Treg cells and the Treg gene signature."}
{"STANDARD_NAME":"GSE14350_IL2RB_KO_VS_WT_TEFF_DN","SYSTEMATIC_NAME":"M3424","ORGANISM":"Mus musculus","PMID":"19185518","AUTHORS":"Yu A,Zhu L,Altman NH,Malek TR.","GEOID":"GSE14350","EXACT_SOURCE":"GSE14350_1121_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of effector T cells from IL2RB [GeneID=3560] defficient mice versus effector T cells from wild type animals.","DESCRIPTION_FULL":"Interleukin-2 receptor (IL-2R) signaling is essential for T regulatory (Treg) cell development and homeostasis. Here we show that expression of IL-2Rbeta chains that lack tyrosine residues important for the association of the adaptor Shc and the transcription factor STAT5 in IL-2Rbeta-deficient mice resulted in production of a normal proportion of natural Treg cells that suppressed severe autoimmunity related with deficiency in IL-2 or IL-2R. These mutant IL-2Rbeta chains supported suboptimal and transient STAT5 activation that upregulate the transcription factor Foxp3 to normal amounts in natural, but not induced, Treg cells. Using cells T cell obtained from normal C57BL/6 mice and mice harboring Treg cells with impaired IL-2R signaling, gene expression profiling revealed many targets in peripheral natural Treg cells that were IL-2-dependent and a substantial overlap between the Treg cell IL-2-dependent gene program and the Treg cell transcriptional signature. Collectively, these findings demonstrate that a critical, and perhaps minor, subset of IL-2-dependent targets in Treg cells is indexed to a low IL-2R signaling threshold and that a substantial proportion of the Treg cell gene program is regulated by IL-2. CD4 T effector cells also showed many IL-2R-dependent gene and these also overlapped in a distintive manner with the IL-2-dependent genes of Treg cells and the Treg gene signature."}
{"STANDARD_NAME":"GSE1448_CTRL_VS_ANTI_VALPHA2_DP_THYMOCYTE_UP","SYSTEMATIC_NAME":"M3425","ORGANISM":"Mus musculus","PMID":"15661827","AUTHORS":"Niederberger N,Buehler LK,Ampudia J,Gascoigne NR.","GEOID":"GSE1448","EXACT_SOURCE":"GSE1448_2130_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control CD4 [GeneID=920] CD8 thymocytes versus those after stimulation with anti-Valpha2 antibodies.","DESCRIPTION_FULL":"Comparison of gene expression changes in CD4+CD8+ thymocytes following engagement of TCR with anti-Valpha or Vbeta antibodies"}
{"STANDARD_NAME":"GSE1448_CTRL_VS_ANTI_VALPHA2_DP_THYMOCYTE_DN","SYSTEMATIC_NAME":"M3426","ORGANISM":"Mus musculus","PMID":"15661827","AUTHORS":"Niederberger N,Buehler LK,Ampudia J,Gascoigne NR.","GEOID":"GSE1448","EXACT_SOURCE":"GSE1448_2130_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control CD4 [GeneID=920] CD8 thymocytes versus those after stimulation with anti-Valpha2 antibodies.","DESCRIPTION_FULL":"Comparison of gene expression changes in CD4+CD8+ thymocytes following engagement of TCR with anti-Valpha or Vbeta antibodies"}
{"STANDARD_NAME":"GSE1448_CTRL_VS_ANTI_VBETA5_DP_THYMOCYTE_UP","SYSTEMATIC_NAME":"M3428","ORGANISM":"Mus musculus","PMID":"15661827","AUTHORS":"Niederberger N,Buehler LK,Ampudia J,Gascoigne NR.","GEOID":"GSE1448","EXACT_SOURCE":"GSE1448_2131_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control CD4 [GeneID=920] CD8 thymocytes versus those after stimulation with anti-Vbeta5 antibodies.","DESCRIPTION_FULL":"Comparison of gene expression changes in CD4+CD8+ thymocytes following engagement of TCR with anti-Valpha or Vbeta antibodies"}
{"STANDARD_NAME":"GSE1448_CTRL_VS_ANTI_VBETA5_DP_THYMOCYTE_DN","SYSTEMATIC_NAME":"M3429","ORGANISM":"Mus musculus","PMID":"15661827","AUTHORS":"Niederberger N,Buehler LK,Ampudia J,Gascoigne NR.","GEOID":"GSE1448","EXACT_SOURCE":"GSE1448_2131_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control CD4 [GeneID=920] CD8 thymocytes versus those after stimulation with anti-Vbeta5 antibodies.","DESCRIPTION_FULL":"Comparison of gene expression changes in CD4+CD8+ thymocytes following engagement of TCR with anti-Valpha or Vbeta antibodies"}
{"STANDARD_NAME":"GSE1448_ANTI_VALPHA2_VS_VBETA5_DP_THYMOCYTE_UP","SYSTEMATIC_NAME":"M3431","ORGANISM":"Mus musculus","PMID":"15661827","AUTHORS":"Niederberger N,Buehler LK,Ampudia J,Gascoigne NR.","GEOID":"GSE1448","EXACT_SOURCE":"GSE1448_2132_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD4 [GeneID=920] CD8 thymocytes stimulated with anti-Valpha2 antibodies versus CD4 [GeneID=920] CD8 thymocytes stimulated with anti-beta5 antibodies. ","DESCRIPTION_FULL":"Comparison of gene expression changes in CD4+CD8+ thymocytes following engagement of TCR with anti-Valpha or Vbeta antibodies"}
{"STANDARD_NAME":"GSE1448_ANTI_VALPHA2_VS_VBETA5_DP_THYMOCYTE_DN","SYSTEMATIC_NAME":"M3435","ORGANISM":"Mus musculus","PMID":"15661827","AUTHORS":"Niederberger N,Buehler LK,Ampudia J,Gascoigne NR.","GEOID":"GSE1448","EXACT_SOURCE":"GSE1448_2132_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD4 [GeneID=920] CD8 thymocytes stimulated with anti-Valpha2 antibodies versus CD4 [GeneID=920] CD8 thymocytes stimulated with anti-beta5 antibodies. ","DESCRIPTION_FULL":"Comparison of gene expression changes in CD4+CD8+ thymocytes following engagement of TCR with anti-Valpha or Vbeta antibodies"}
{"STANDARD_NAME":"GSE1460_INTRATHYMIC_T_PROGENITOR_VS_DP_THYMOCYTE_UP","SYSTEMATIC_NAME":"M3436","ORGANISM":"Homo sapiens","PMID":"15210650","AUTHORS":"Lee MS,Hanspers K,Barker CS,Korn AP,McCune JM.","GEOID":"GSE1460","EXACT_SOURCE":"GSE1460_2133_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of intrathymic T progenitor cells (ITTP) versus CD4 [GeneID=920] CD8 thymocytes. ","DESCRIPTION_FULL":"Subpopulations of human fetal thymocyte and circulating naïve T cells were obtained through FACS sorting, including CD3-CD4+CD8- intrathymic T progenitor cells (ITTP), CD3intCD4+CD8+ \\double positive\\ thymocytes (DP), CD3highCD4+CD8- \\single positive\\ thymocytes (SP4), CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from cord blood (CB4+), and CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from adult blood (AB4+)."}
{"STANDARD_NAME":"GSE1460_INTRATHYMIC_T_PROGENITOR_VS_DP_THYMOCYTE_DN","SYSTEMATIC_NAME":"M3438","ORGANISM":"Homo sapiens","PMID":"15210650","AUTHORS":"Lee MS,Hanspers K,Barker CS,Korn AP,McCune JM.","GEOID":"GSE1460","EXACT_SOURCE":"GSE1460_2133_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of intrathymic T progenitor cells (ITTP) versus CD4 [GeneID=920] CD8 thymocytes. ","DESCRIPTION_FULL":"Subpopulations of human fetal thymocyte and circulating naïve T cells were obtained through FACS sorting, including CD3-CD4+CD8- intrathymic T progenitor cells (ITTP), CD3intCD4+CD8+ \\double positive\\ thymocytes (DP), CD3highCD4+CD8- \\single positive\\ thymocytes (SP4), CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from cord blood (CB4+), and CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from adult blood (AB4+)."}
{"STANDARD_NAME":"GSE1460_INTRATHYMIC_T_PROGENITOR_VS_CD4_THYMOCYTE_UP","SYSTEMATIC_NAME":"M3439","ORGANISM":"Homo sapiens","PMID":"15210650","AUTHORS":"Lee MS,Hanspers K,Barker CS,Korn AP,McCune JM.","GEOID":"GSE1460","EXACT_SOURCE":"GSE1460_2134_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of intrathymic T progenitor cells (ITTP) versus CD4 [GeneID=920] thymocytes.","DESCRIPTION_FULL":"Subpopulations of human fetal thymocyte and circulating naïve T cells were obtained through FACS sorting, including CD3-CD4+CD8- intrathymic T progenitor cells (ITTP), CD3intCD4+CD8+ \\double positive\\ thymocytes (DP), CD3highCD4+CD8- \\single positive\\ thymocytes (SP4), CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from cord blood (CB4+), and CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from adult blood (AB4+)."}
{"STANDARD_NAME":"GSE1460_INTRATHYMIC_T_PROGENITOR_VS_CD4_THYMOCYTE_DN","SYSTEMATIC_NAME":"M3440","ORGANISM":"Homo sapiens","PMID":"15210650","AUTHORS":"Lee MS,Hanspers K,Barker CS,Korn AP,McCune JM.","GEOID":"GSE1460","EXACT_SOURCE":"GSE1460_2134_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of intrathymic T progenitor cells (ITTP) versus CD4 [GeneID=920] thymocytes.","DESCRIPTION_FULL":"Subpopulations of human fetal thymocyte and circulating naïve T cells were obtained through FACS sorting, including CD3-CD4+CD8- intrathymic T progenitor cells (ITTP), CD3intCD4+CD8+ \\double positive\\ thymocytes (DP), CD3highCD4+CD8- \\single positive\\ thymocytes (SP4), CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from cord blood (CB4+), and CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from adult blood (AB4+)."}
{"STANDARD_NAME":"GSE1460_INTRATHYMIC_T_PROGENITOR_VS_NAIVE_CD4_TCELL_CORD_BLOOD_UP","SYSTEMATIC_NAME":"M3441","ORGANISM":"Homo sapiens","PMID":"15210650","AUTHORS":"Lee MS,Hanspers K,Barker CS,Korn AP,McCune JM.","GEOID":"GSE1460","EXACT_SOURCE":"GSE1460_2135_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of intrathymic T progenitor cells (ITTP) versus naive CD4 [GeneID=920] T cells from cord blood.","DESCRIPTION_FULL":"Subpopulations of human fetal thymocyte and circulating naïve T cells were obtained through FACS sorting, including CD3-CD4+CD8- intrathymic T progenitor cells (ITTP), CD3intCD4+CD8+ \\double positive\\ thymocytes (DP), CD3highCD4+CD8- \\single positive\\ thymocytes (SP4), CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from cord blood (CB4+), and CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from adult blood (AB4+)."}
{"STANDARD_NAME":"GSE1460_INTRATHYMIC_T_PROGENITOR_VS_NAIVE_CD4_TCELL_CORD_BLOOD_DN","SYSTEMATIC_NAME":"M3445","ORGANISM":"Homo sapiens","PMID":"15210650","AUTHORS":"Lee MS,Hanspers K,Barker CS,Korn AP,McCune JM.","GEOID":"GSE1460","EXACT_SOURCE":"GSE1460_2135_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of intrathymic T progenitor cells (ITTP) versus naive CD4 [GeneID=920] T cells from cord blood.","DESCRIPTION_FULL":"Subpopulations of human fetal thymocyte and circulating naïve T cells were obtained through FACS sorting, including CD3-CD4+CD8- intrathymic T progenitor cells (ITTP), CD3intCD4+CD8+ \\double positive\\ thymocytes (DP), CD3highCD4+CD8- \\single positive\\ thymocytes (SP4), CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from cord blood (CB4+), and CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from adult blood (AB4+)."}
{"STANDARD_NAME":"GSE1460_INTRATHYMIC_T_PROGENITOR_VS_NAIVE_CD4_TCELL_ADULT_BLOOD_UP","SYSTEMATIC_NAME":"M3446","ORGANISM":"Homo sapiens","PMID":"15210650","AUTHORS":"Lee MS,Hanspers K,Barker CS,Korn AP,McCune JM.","GEOID":"GSE1460","EXACT_SOURCE":"GSE1460_2136_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of intrathymic T progenitor cells (ITTP) versus naive CD4 [GeneID=920] T cells from adult blood.","DESCRIPTION_FULL":"Subpopulations of human fetal thymocyte and circulating naïve T cells were obtained through FACS sorting, including CD3-CD4+CD8- intrathymic T progenitor cells (ITTP), CD3intCD4+CD8+ \\double positive\\ thymocytes (DP), CD3highCD4+CD8- \\single positive\\ thymocytes (SP4), CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from cord blood (CB4+), and CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from adult blood (AB4+)."}
{"STANDARD_NAME":"GSE1460_INTRATHYMIC_T_PROGENITOR_VS_NAIVE_CD4_TCELL_ADULT_BLOOD_DN","SYSTEMATIC_NAME":"M3448","ORGANISM":"Homo sapiens","PMID":"15210650","AUTHORS":"Lee MS,Hanspers K,Barker CS,Korn AP,McCune JM.","GEOID":"GSE1460","EXACT_SOURCE":"GSE1460_2136_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of intrathymic T progenitor cells (ITTP) versus naive CD4 [GeneID=920] T cells from adult blood.","DESCRIPTION_FULL":"Subpopulations of human fetal thymocyte and circulating naïve T cells were obtained through FACS sorting, including CD3-CD4+CD8- intrathymic T progenitor cells (ITTP), CD3intCD4+CD8+ \\double positive\\ thymocytes (DP), CD3highCD4+CD8- \\single positive\\ thymocytes (SP4), CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from cord blood (CB4+), and CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from adult blood (AB4+)."}
{"STANDARD_NAME":"GSE1460_INTRATHYMIC_T_PROGENITOR_VS_THYMIC_STROMAL_CELL_UP","SYSTEMATIC_NAME":"M3449","ORGANISM":"Homo sapiens","PMID":"15210650","AUTHORS":"Lee MS,Hanspers K,Barker CS,Korn AP,McCune JM.","GEOID":"GSE1460","EXACT_SOURCE":"GSE1460_2137_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of intrathymic T progenitor cells (ITTP) versus thymic stromal cells.","DESCRIPTION_FULL":"Subpopulations of human fetal thymocyte and circulating naïve T cells were obtained through FACS sorting, including CD3-CD4+CD8- intrathymic T progenitor cells (ITTP), CD3intCD4+CD8+ \\double positive\\ thymocytes (DP), CD3highCD4+CD8- \\single positive\\ thymocytes (SP4), CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from cord blood (CB4+), and CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from adult blood (AB4+)."}
{"STANDARD_NAME":"GSE1460_INTRATHYMIC_T_PROGENITOR_VS_THYMIC_STROMAL_CELL_DN","SYSTEMATIC_NAME":"M3450","ORGANISM":"Homo sapiens","PMID":"15210650","AUTHORS":"Lee MS,Hanspers K,Barker CS,Korn AP,McCune JM.","GEOID":"GSE1460","EXACT_SOURCE":"GSE1460_2137_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of intrathymic T progenitor cells (ITTP) versus thymic stromal cells.","DESCRIPTION_FULL":"Subpopulations of human fetal thymocyte and circulating naïve T cells were obtained through FACS sorting, including CD3-CD4+CD8- intrathymic T progenitor cells (ITTP), CD3intCD4+CD8+ \\double positive\\ thymocytes (DP), CD3highCD4+CD8- \\single positive\\ thymocytes (SP4), CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from cord blood (CB4+), and CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from adult blood (AB4+)."}
{"STANDARD_NAME":"GSE1460_DP_VS_CD4_THYMOCYTE_UP","SYSTEMATIC_NAME":"M3452","ORGANISM":"Homo sapiens","PMID":"15210650","AUTHORS":"Lee MS,Hanspers K,Barker CS,Korn AP,McCune JM.","GEOID":"GSE1460","EXACT_SOURCE":"GSE1460_2138_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD4 [GeneID=920] CD8 thymocytes versus T cells from cord blood.","DESCRIPTION_FULL":"Subpopulations of human fetal thymocyte and circulating naïve T cells were obtained through FACS sorting, including CD3-CD4+CD8- intrathymic T progenitor cells (ITTP), CD3intCD4+CD8+ \\double positive\\ thymocytes (DP), CD3highCD4+CD8- \\single positive\\ thymocytes (SP4), CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from cord blood (CB4+), and CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from adult blood (AB4+)."}
{"STANDARD_NAME":"GSE1460_DP_VS_CD4_THYMOCYTE_DN","SYSTEMATIC_NAME":"M3454","ORGANISM":"Homo sapiens","PMID":"15210650","AUTHORS":"Lee MS,Hanspers K,Barker CS,Korn AP,McCune JM.","GEOID":"GSE1460","EXACT_SOURCE":"GSE1460_2138_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD4 [GeneID=920] CD8 thymocytes versus T cells from cord blood.","DESCRIPTION_FULL":"Subpopulations of human fetal thymocyte and circulating naïve T cells were obtained through FACS sorting, including CD3-CD4+CD8- intrathymic T progenitor cells (ITTP), CD3intCD4+CD8+ \\double positive\\ thymocytes (DP), CD3highCD4+CD8- \\single positive\\ thymocytes (SP4), CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from cord blood (CB4+), and CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from adult blood (AB4+)."}
{"STANDARD_NAME":"GSE1460_DP_THYMOCYTE_VS_NAIVE_CD4_TCELL_CORD_BLOOD_UP","SYSTEMATIC_NAME":"M3459","ORGANISM":"Homo sapiens","PMID":"15210650","AUTHORS":"Lee MS,Hanspers K,Barker CS,Korn AP,McCune JM.","GEOID":"GSE1460","EXACT_SOURCE":"GSE1460_2139_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD4 [GeneID=920] CD8 thymocytes versus naive CD4 [GeneID=920] T cells from cord blood.","DESCRIPTION_FULL":"Subpopulations of human fetal thymocyte and circulating naïve T cells were obtained through FACS sorting, including CD3-CD4+CD8- intrathymic T progenitor cells (ITTP), CD3intCD4+CD8+ \\double positive\\ thymocytes (DP), CD3highCD4+CD8- \\single positive\\ thymocytes (SP4), CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from cord blood (CB4+), and CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from adult blood (AB4+)."}
{"STANDARD_NAME":"GSE1460_DP_THYMOCYTE_VS_NAIVE_CD4_TCELL_CORD_BLOOD_DN","SYSTEMATIC_NAME":"M3460","ORGANISM":"Homo sapiens","PMID":"15210650","AUTHORS":"Lee MS,Hanspers K,Barker CS,Korn AP,McCune JM.","GEOID":"GSE1460","EXACT_SOURCE":"GSE1460_2139_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD4 [GeneID=920] CD8 thymocytes versus naive CD4 [GeneID=920] T cells from cord blood.","DESCRIPTION_FULL":"Subpopulations of human fetal thymocyte and circulating naïve T cells were obtained through FACS sorting, including CD3-CD4+CD8- intrathymic T progenitor cells (ITTP), CD3intCD4+CD8+ \\double positive\\ thymocytes (DP), CD3highCD4+CD8- \\single positive\\ thymocytes (SP4), CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from cord blood (CB4+), and CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from adult blood (AB4+)."}
{"STANDARD_NAME":"GSE1460_DP_THYMOCYTE_VS_NAIVE_CD4_TCELL_ADULT_BLOOD_UP","SYSTEMATIC_NAME":"M3461","ORGANISM":"Homo sapiens","PMID":"15210650","AUTHORS":"Lee MS,Hanspers K,Barker CS,Korn AP,McCune JM.","GEOID":"GSE1460","EXACT_SOURCE":"GSE1460_2140_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD4 [GeneID=920] CD8 thymocytes versus naive CD4 [GeneID=920] T cells from adult blood.","DESCRIPTION_FULL":"Subpopulations of human fetal thymocyte and circulating naïve T cells were obtained through FACS sorting, including CD3-CD4+CD8- intrathymic T progenitor cells (ITTP), CD3intCD4+CD8+ \\double positive\\ thymocytes (DP), CD3highCD4+CD8- \\single positive\\ thymocytes (SP4), CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from cord blood (CB4+), and CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from adult blood (AB4+)."}
{"STANDARD_NAME":"GSE1460_DP_THYMOCYTE_VS_NAIVE_CD4_TCELL_ADULT_BLOOD_DN","SYSTEMATIC_NAME":"M3465","ORGANISM":"Homo sapiens","PMID":"15210650","AUTHORS":"Lee MS,Hanspers K,Barker CS,Korn AP,McCune JM.","GEOID":"GSE1460","EXACT_SOURCE":"GSE1460_2140_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD4 [GeneID=920] CD8 thymocytes versus naive CD4 [GeneID=920] T cells from adult blood.","DESCRIPTION_FULL":"Subpopulations of human fetal thymocyte and circulating naïve T cells were obtained through FACS sorting, including CD3-CD4+CD8- intrathymic T progenitor cells (ITTP), CD3intCD4+CD8+ \\double positive\\ thymocytes (DP), CD3highCD4+CD8- \\single positive\\ thymocytes (SP4), CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from cord blood (CB4+), and CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from adult blood (AB4+)."}
{"STANDARD_NAME":"GSE1460_DP_THYMOCYTE_VS_THYMIC_STROMAL_CELL_UP","SYSTEMATIC_NAME":"M3467","ORGANISM":"Homo sapiens","PMID":"15210650","AUTHORS":"Lee MS,Hanspers K,Barker CS,Korn AP,McCune JM.","GEOID":"GSE1460","EXACT_SOURCE":"GSE1460_2141_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD4 [GeneID=920] CD8 thymocytes versus thymic stromal cells.","DESCRIPTION_FULL":"Subpopulations of human fetal thymocyte and circulating naïve T cells were obtained through FACS sorting, including CD3-CD4+CD8- intrathymic T progenitor cells (ITTP), CD3intCD4+CD8+ \\double positive\\ thymocytes (DP), CD3highCD4+CD8- \\single positive\\ thymocytes (SP4), CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from cord blood (CB4+), and CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from adult blood (AB4+)."}
{"STANDARD_NAME":"GSE1460_DP_THYMOCYTE_VS_THYMIC_STROMAL_CELL_DN","SYSTEMATIC_NAME":"M3469","ORGANISM":"Homo sapiens","PMID":"15210650","AUTHORS":"Lee MS,Hanspers K,Barker CS,Korn AP,McCune JM.","GEOID":"GSE1460","EXACT_SOURCE":"GSE1460_2141_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD4 [GeneID=920] CD8 thymocytes versus thymic stromal cells.","DESCRIPTION_FULL":"Subpopulations of human fetal thymocyte and circulating naïve T cells were obtained through FACS sorting, including CD3-CD4+CD8- intrathymic T progenitor cells (ITTP), CD3intCD4+CD8+ \\double positive\\ thymocytes (DP), CD3highCD4+CD8- \\single positive\\ thymocytes (SP4), CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from cord blood (CB4+), and CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from adult blood (AB4+)."}
{"STANDARD_NAME":"GSE1460_CD4_THYMOCYTE_VS_NAIVE_CD4_TCELL_CORD_BLOOD_UP","SYSTEMATIC_NAME":"M3470","ORGANISM":"Homo sapiens","PMID":"15210650","AUTHORS":"Lee MS,Hanspers K,Barker CS,Korn AP,McCune JM.","GEOID":"GSE1460","EXACT_SOURCE":"GSE1460_2142_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD4 [GeneID=920] thymocytes versus naive CD4 [GeneID=920] T cells from cord blood.","DESCRIPTION_FULL":"Subpopulations of human fetal thymocyte and circulating naïve T cells were obtained through FACS sorting, including CD3-CD4+CD8- intrathymic T progenitor cells (ITTP), CD3intCD4+CD8+ \\double positive\\ thymocytes (DP), CD3highCD4+CD8- \\single positive\\ thymocytes (SP4), CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from cord blood (CB4+), and CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from adult blood (AB4+)."}
{"STANDARD_NAME":"GSE1460_CD4_THYMOCYTE_VS_NAIVE_CD4_TCELL_CORD_BLOOD_DN","SYSTEMATIC_NAME":"M3472","ORGANISM":"Homo sapiens","PMID":"15210650","AUTHORS":"Lee MS,Hanspers K,Barker CS,Korn AP,McCune JM.","GEOID":"GSE1460","EXACT_SOURCE":"GSE1460_2142_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD4 [GeneID=920] thymocytes versus naive CD4 [GeneID=920] T cells from cord blood.","DESCRIPTION_FULL":"Subpopulations of human fetal thymocyte and circulating naïve T cells were obtained through FACS sorting, including CD3-CD4+CD8- intrathymic T progenitor cells (ITTP), CD3intCD4+CD8+ \\double positive\\ thymocytes (DP), CD3highCD4+CD8- \\single positive\\ thymocytes (SP4), CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from cord blood (CB4+), and CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from adult blood (AB4+)."}
{"STANDARD_NAME":"GSE1460_CD4_THYMOCYTE_VS_NAIVE_CD4_TCELL_ADULT_BLOOD_UP","SYSTEMATIC_NAME":"M3474","ORGANISM":"Homo sapiens","PMID":"15210650","AUTHORS":"Lee MS,Hanspers K,Barker CS,Korn AP,McCune JM.","GEOID":"GSE1460","EXACT_SOURCE":"GSE1460_2143_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD4 [GeneID=920] thymocytes versus naive CD4 [GeneID=920] T cells from adult blood.","DESCRIPTION_FULL":"Subpopulations of human fetal thymocyte and circulating naïve T cells were obtained through FACS sorting, including CD3-CD4+CD8- intrathymic T progenitor cells (ITTP), CD3intCD4+CD8+ \\double positive\\ thymocytes (DP), CD3highCD4+CD8- \\single positive\\ thymocytes (SP4), CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from cord blood (CB4+), and CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from adult blood (AB4+)."}
{"STANDARD_NAME":"GSE1460_CD4_THYMOCYTE_VS_NAIVE_CD4_TCELL_ADULT_BLOOD_DN","SYSTEMATIC_NAME":"M3476","ORGANISM":"Homo sapiens","PMID":"15210650","AUTHORS":"Lee MS,Hanspers K,Barker CS,Korn AP,McCune JM.","GEOID":"GSE1460","EXACT_SOURCE":"GSE1460_2143_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD4 [GeneID=920] thymocytes versus naive CD4 [GeneID=920] T cells from adult blood.","DESCRIPTION_FULL":"Subpopulations of human fetal thymocyte and circulating naïve T cells were obtained through FACS sorting, including CD3-CD4+CD8- intrathymic T progenitor cells (ITTP), CD3intCD4+CD8+ \\double positive\\ thymocytes (DP), CD3highCD4+CD8- \\single positive\\ thymocytes (SP4), CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from cord blood (CB4+), and CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from adult blood (AB4+)."}
{"STANDARD_NAME":"GSE1460_CD4_THYMOCYTE_VS_THYMIC_STROMAL_CELL_UP","SYSTEMATIC_NAME":"M3478","ORGANISM":"Homo sapiens","PMID":"15210650","AUTHORS":"Lee MS,Hanspers K,Barker CS,Korn AP,McCune JM.","GEOID":"GSE1460","EXACT_SOURCE":"GSE1460_2144_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD4 [GeneID=920] thymocytes versus thymic stromal cells.","DESCRIPTION_FULL":"Subpopulations of human fetal thymocyte and circulating naïve T cells were obtained through FACS sorting, including CD3-CD4+CD8- intrathymic T progenitor cells (ITTP), CD3intCD4+CD8+ \\double positive\\ thymocytes (DP), CD3highCD4+CD8- \\single positive\\ thymocytes (SP4), CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from cord blood (CB4+), and CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from adult blood (AB4+)."}
{"STANDARD_NAME":"GSE1460_CD4_THYMOCYTE_VS_THYMIC_STROMAL_CELL_DN","SYSTEMATIC_NAME":"M3479","ORGANISM":"Homo sapiens","PMID":"15210650","AUTHORS":"Lee MS,Hanspers K,Barker CS,Korn AP,McCune JM.","GEOID":"GSE1460","EXACT_SOURCE":"GSE1460_2144_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD4 [GeneID=920] thymocytes versus thymic stromal cells.","DESCRIPTION_FULL":"Subpopulations of human fetal thymocyte and circulating naïve T cells were obtained through FACS sorting, including CD3-CD4+CD8- intrathymic T progenitor cells (ITTP), CD3intCD4+CD8+ \\double positive\\ thymocytes (DP), CD3highCD4+CD8- \\single positive\\ thymocytes (SP4), CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from cord blood (CB4+), and CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from adult blood (AB4+)."}
{"STANDARD_NAME":"GSE1460_CORD_VS_ADULT_BLOOD_NAIVE_CD4_TCELL_UP","SYSTEMATIC_NAME":"M3480","ORGANISM":"Homo sapiens","PMID":"15210650","AUTHORS":"Lee MS,Hanspers K,Barker CS,Korn AP,McCune JM.","GEOID":"GSE1460","EXACT_SOURCE":"GSE1460_2145_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells from cord blood versus those from adult blood.","DESCRIPTION_FULL":"Subpopulations of human fetal thymocyte and circulating naïve T cells were obtained through FACS sorting, including CD3-CD4+CD8- intrathymic T progenitor cells (ITTP), CD3intCD4+CD8+ \\double positive\\ thymocytes (DP), CD3highCD4+CD8- \\single positive\\ thymocytes (SP4), CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from cord blood (CB4+), and CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from adult blood (AB4+)."}
{"STANDARD_NAME":"GSE1460_CORD_VS_ADULT_BLOOD_NAIVE_CD4_TCELL_DN","SYSTEMATIC_NAME":"M3481","ORGANISM":"Homo sapiens","PMID":"15210650","AUTHORS":"Lee MS,Hanspers K,Barker CS,Korn AP,McCune JM.","GEOID":"GSE1460","EXACT_SOURCE":"GSE1460_2145_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells from cord blood versus those from adult blood.","DESCRIPTION_FULL":"Subpopulations of human fetal thymocyte and circulating naïve T cells were obtained through FACS sorting, including CD3-CD4+CD8- intrathymic T progenitor cells (ITTP), CD3intCD4+CD8+ \\double positive\\ thymocytes (DP), CD3highCD4+CD8- \\single positive\\ thymocytes (SP4), CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from cord blood (CB4+), and CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from adult blood (AB4+)."}
{"STANDARD_NAME":"GSE1460_NAIVE_CD4_TCELL_CORD_BLOOD_VS_THYMIC_STROMAL_CELL_UP","SYSTEMATIC_NAME":"M3484","ORGANISM":"Homo sapiens","PMID":"15210650","AUTHORS":"Lee MS,Hanspers K,Barker CS,Korn AP,McCune JM.","GEOID":"GSE1460","EXACT_SOURCE":"GSE1460_2146_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in naive CD4 [GeneID=920] T cells from cord blood versus thymic stromal cells.","DESCRIPTION_FULL":"Subpopulations of human fetal thymocyte and circulating naïve T cells were obtained through FACS sorting, including CD3-CD4+CD8- intrathymic T progenitor cells (ITTP), CD3intCD4+CD8+ \\double positive\\ thymocytes (DP), CD3highCD4+CD8- \\single positive\\ thymocytes (SP4), CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from cord blood (CB4+), and CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from adult blood (AB4+)."}
{"STANDARD_NAME":"GSE1460_NAIVE_CD4_TCELL_CORD_BLOOD_VS_THYMIC_STROMAL_CELL_DN","SYSTEMATIC_NAME":"M3486","ORGANISM":"Homo sapiens","PMID":"15210650","AUTHORS":"Lee MS,Hanspers K,Barker CS,Korn AP,McCune JM.","GEOID":"GSE1460","EXACT_SOURCE":"GSE1460_2146_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in naive CD4 [GeneID=920] T cells from cord blood versus thymic stromal cells.","DESCRIPTION_FULL":"Subpopulations of human fetal thymocyte and circulating naïve T cells were obtained through FACS sorting, including CD3-CD4+CD8- intrathymic T progenitor cells (ITTP), CD3intCD4+CD8+ \\double positive\\ thymocytes (DP), CD3highCD4+CD8- \\single positive\\ thymocytes (SP4), CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from cord blood (CB4+), and CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from adult blood (AB4+)."}
{"STANDARD_NAME":"GSE1460_NAIVE_CD4_TCELL_ADULT_BLOOD_VS_THYMIC_STROMAL_CELL_UP","SYSTEMATIC_NAME":"M3487","ORGANISM":"Homo sapiens","PMID":"15210650","AUTHORS":"Lee MS,Hanspers K,Barker CS,Korn AP,McCune JM.","GEOID":"GSE1460","EXACT_SOURCE":"GSE1460_2147_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in naive CD4 [GeneID=920] T cells from adult blood versus thymic stromal cells.","DESCRIPTION_FULL":"Subpopulations of human fetal thymocyte and circulating naïve T cells were obtained through FACS sorting, including CD3-CD4+CD8- intrathymic T progenitor cells (ITTP), CD3intCD4+CD8+ \\double positive\\ thymocytes (DP), CD3highCD4+CD8- \\single positive\\ thymocytes (SP4), CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from cord blood (CB4+), and CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from adult blood (AB4+)."}
{"STANDARD_NAME":"GSE1460_NAIVE_CD4_TCELL_ADULT_BLOOD_VS_THYMIC_STROMAL_CELL_DN","SYSTEMATIC_NAME":"M3488","ORGANISM":"Homo sapiens","PMID":"15210650","AUTHORS":"Lee MS,Hanspers K,Barker CS,Korn AP,McCune JM.","GEOID":"GSE1460","EXACT_SOURCE":"GSE1460_2147_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in naive CD4 [GeneID=920] T cells from adult blood versus thymic stromal cells.","DESCRIPTION_FULL":"Subpopulations of human fetal thymocyte and circulating naïve T cells were obtained through FACS sorting, including CD3-CD4+CD8- intrathymic T progenitor cells (ITTP), CD3intCD4+CD8+ \\double positive\\ thymocytes (DP), CD3highCD4+CD8- \\single positive\\ thymocytes (SP4), CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from cord blood (CB4+), and CD3+CD4+CD8-CD45RA+CD62L+ naive T cells from adult blood (AB4+)."}
{"STANDARD_NAME":"GSE14769_UNSTIM_VS_20MIN_LPS_BMDM_UP","SYSTEMATIC_NAME":"M3490","ORGANISM":"Mus musculus","PMID":"19270711","AUTHORS":"Litvak V,Ramsey SA,Rust AG,Zak DE,Kennedy KA,Lampano AE,Nykter M,Shmulevich I,Aderem A.","GEOID":"GSE14769","EXACT_SOURCE":"GSE14769_1129_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of unstimulated macrophage cells versus macrophage cells stimulated with LPS (TLR4 agonist) for 20 min.","DESCRIPTION_FULL":"The innate immune system is a two-edged sword; it is absolutely required for host defense against infection, but if left uncontrolled can trigger a plethora of inflammatory diseases. Here we used systems biology approaches to predict and validate a gene regulatory network involving a dynamic interplay between the transcription factors NF-κB, C/EBPδ, and ATF3 that controls inflammatory responses. We mathematically modeled transcriptional regulation of Il6 and Cebpd genes and experimentally validated the prediction that the combination of an initiator (NF-κB), an amplifier (C/EBPδ) and an attenuator (ATF3) forms a regulatory circuit that discriminates between transient and persistent Toll-like receptor 4-induced signals. Our results suggest a mechanism that enables the innate immune system to detect the duration of infection and to respond appropriately."}
{"STANDARD_NAME":"GSE14769_UNSTIM_VS_20MIN_LPS_BMDM_DN","SYSTEMATIC_NAME":"M3491","ORGANISM":"Mus musculus","PMID":"19270711","AUTHORS":"Litvak V,Ramsey SA,Rust AG,Zak DE,Kennedy KA,Lampano AE,Nykter M,Shmulevich I,Aderem A.","GEOID":"GSE14769","EXACT_SOURCE":"GSE14769_1129_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of unstimulated macrophage cells versus macrophage cells stimulated with LPS (TLR4 agonist) for 20 min.","DESCRIPTION_FULL":"The innate immune system is a two-edged sword; it is absolutely required for host defense against infection, but if left uncontrolled can trigger a plethora of inflammatory diseases. Here we used systems biology approaches to predict and validate a gene regulatory network involving a dynamic interplay between the transcription factors NF-κB, C/EBPδ, and ATF3 that controls inflammatory responses. We mathematically modeled transcriptional regulation of Il6 and Cebpd genes and experimentally validated the prediction that the combination of an initiator (NF-κB), an amplifier (C/EBPδ) and an attenuator (ATF3) forms a regulatory circuit that discriminates between transient and persistent Toll-like receptor 4-induced signals. Our results suggest a mechanism that enables the innate immune system to detect the duration of infection and to respond appropriately."}
{"STANDARD_NAME":"GSE14769_UNSTIM_VS_40MIN_LPS_BMDM_UP","SYSTEMATIC_NAME":"M3493","ORGANISM":"Mus musculus","PMID":"19270711","AUTHORS":"Litvak V,Ramsey SA,Rust AG,Zak DE,Kennedy KA,Lampano AE,Nykter M,Shmulevich I,Aderem A.","GEOID":"GSE14769","EXACT_SOURCE":"GSE14769_1130_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of unstimulated macrophage cells versus macrophage cells stimulated with LPS (TLR4 agonist) for 40 min.","DESCRIPTION_FULL":"The innate immune system is a two-edged sword; it is absolutely required for host defense against infection, but if left uncontrolled can trigger a plethora of inflammatory diseases. Here we used systems biology approaches to predict and validate a gene regulatory network involving a dynamic interplay between the transcription factors NF-κB, C/EBPδ, and ATF3 that controls inflammatory responses. We mathematically modeled transcriptional regulation of Il6 and Cebpd genes and experimentally validated the prediction that the combination of an initiator (NF-κB), an amplifier (C/EBPδ) and an attenuator (ATF3) forms a regulatory circuit that discriminates between transient and persistent Toll-like receptor 4-induced signals. Our results suggest a mechanism that enables the innate immune system to detect the duration of infection and to respond appropriately."}
{"STANDARD_NAME":"GSE14769_UNSTIM_VS_40MIN_LPS_BMDM_DN","SYSTEMATIC_NAME":"M3497","ORGANISM":"Mus musculus","PMID":"19270711","AUTHORS":"Litvak V,Ramsey SA,Rust AG,Zak DE,Kennedy KA,Lampano AE,Nykter M,Shmulevich I,Aderem A.","GEOID":"GSE14769","EXACT_SOURCE":"GSE14769_1130_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of unstimulated macrophage cells versus macrophage cells stimulated with LPS (TLR4 agonist) for 40 min.","DESCRIPTION_FULL":"The innate immune system is a two-edged sword; it is absolutely required for host defense against infection, but if left uncontrolled can trigger a plethora of inflammatory diseases. Here we used systems biology approaches to predict and validate a gene regulatory network involving a dynamic interplay between the transcription factors NF-κB, C/EBPδ, and ATF3 that controls inflammatory responses. We mathematically modeled transcriptional regulation of Il6 and Cebpd genes and experimentally validated the prediction that the combination of an initiator (NF-κB), an amplifier (C/EBPδ) and an attenuator (ATF3) forms a regulatory circuit that discriminates between transient and persistent Toll-like receptor 4-induced signals. Our results suggest a mechanism that enables the innate immune system to detect the duration of infection and to respond appropriately."}
{"STANDARD_NAME":"GSE14769_UNSTIM_VS_60MIN_LPS_BMDM_UP","SYSTEMATIC_NAME":"M3498","ORGANISM":"Mus musculus","PMID":"19270711","AUTHORS":"Litvak V,Ramsey SA,Rust AG,Zak DE,Kennedy KA,Lampano AE,Nykter M,Shmulevich I,Aderem A.","GEOID":"GSE14769","EXACT_SOURCE":"GSE14769_1131_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of unstimulated macrophage cells versus macrophage cells stimulated with LPS (TLR4 agonist) for 60 min.","DESCRIPTION_FULL":"The innate immune system is a two-edged sword; it is absolutely required for host defense against infection, but if left uncontrolled can trigger a plethora of inflammatory diseases. Here we used systems biology approaches to predict and validate a gene regulatory network involving a dynamic interplay between the transcription factors NF-κB, C/EBPδ, and ATF3 that controls inflammatory responses. We mathematically modeled transcriptional regulation of Il6 and Cebpd genes and experimentally validated the prediction that the combination of an initiator (NF-κB), an amplifier (C/EBPδ) and an attenuator (ATF3) forms a regulatory circuit that discriminates between transient and persistent Toll-like receptor 4-induced signals. Our results suggest a mechanism that enables the innate immune system to detect the duration of infection and to respond appropriately."}
{"STANDARD_NAME":"GSE14769_UNSTIM_VS_60MIN_LPS_BMDM_DN","SYSTEMATIC_NAME":"M3499","ORGANISM":"Mus musculus","PMID":"19270711","AUTHORS":"Litvak V,Ramsey SA,Rust AG,Zak DE,Kennedy KA,Lampano AE,Nykter M,Shmulevich I,Aderem A.","GEOID":"GSE14769","EXACT_SOURCE":"GSE14769_1131_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of unstimulated macrophage cells versus macrophage cells stimulated with LPS (TLR4 agonist) for 60 min.","DESCRIPTION_FULL":"The innate immune system is a two-edged sword; it is absolutely required for host defense against infection, but if left uncontrolled can trigger a plethora of inflammatory diseases. Here we used systems biology approaches to predict and validate a gene regulatory network involving a dynamic interplay between the transcription factors NF-κB, C/EBPδ, and ATF3 that controls inflammatory responses. We mathematically modeled transcriptional regulation of Il6 and Cebpd genes and experimentally validated the prediction that the combination of an initiator (NF-κB), an amplifier (C/EBPδ) and an attenuator (ATF3) forms a regulatory circuit that discriminates between transient and persistent Toll-like receptor 4-induced signals. Our results suggest a mechanism that enables the innate immune system to detect the duration of infection and to respond appropriately."}
{"STANDARD_NAME":"GSE14769_UNSTIM_VS_80MIN_LPS_BMDM_UP","SYSTEMATIC_NAME":"M3500","ORGANISM":"Mus musculus","PMID":"19270711","AUTHORS":"Litvak V,Ramsey SA,Rust AG,Zak DE,Kennedy KA,Lampano AE,Nykter M,Shmulevich I,Aderem A.","GEOID":"GSE14769","EXACT_SOURCE":"GSE14769_1132_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of unstimulated macrophage cells versus macrophage cells stimulated with LPS (TLR4 agonist) for 80 min.","DESCRIPTION_FULL":"The innate immune system is a two-edged sword; it is absolutely required for host defense against infection, but if left uncontrolled can trigger a plethora of inflammatory diseases. Here we used systems biology approaches to predict and validate a gene regulatory network involving a dynamic interplay between the transcription factors NF-κB, C/EBPδ, and ATF3 that controls inflammatory responses. We mathematically modeled transcriptional regulation of Il6 and Cebpd genes and experimentally validated the prediction that the combination of an initiator (NF-κB), an amplifier (C/EBPδ) and an attenuator (ATF3) forms a regulatory circuit that discriminates between transient and persistent Toll-like receptor 4-induced signals. Our results suggest a mechanism that enables the innate immune system to detect the duration of infection and to respond appropriately."}
{"STANDARD_NAME":"GSE14769_UNSTIM_VS_80MIN_LPS_BMDM_DN","SYSTEMATIC_NAME":"M3502","ORGANISM":"Mus musculus","PMID":"19270711","AUTHORS":"Litvak V,Ramsey SA,Rust AG,Zak DE,Kennedy KA,Lampano AE,Nykter M,Shmulevich I,Aderem A.","GEOID":"GSE14769","EXACT_SOURCE":"GSE14769_1132_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of unstimulated macrophage cells versus macrophage cells stimulated with LPS (TLR4 agonist) for 80 min.","DESCRIPTION_FULL":"The innate immune system is a two-edged sword; it is absolutely required for host defense against infection, but if left uncontrolled can trigger a plethora of inflammatory diseases. Here we used systems biology approaches to predict and validate a gene regulatory network involving a dynamic interplay between the transcription factors NF-κB, C/EBPδ, and ATF3 that controls inflammatory responses. We mathematically modeled transcriptional regulation of Il6 and Cebpd genes and experimentally validated the prediction that the combination of an initiator (NF-κB), an amplifier (C/EBPδ) and an attenuator (ATF3) forms a regulatory circuit that discriminates between transient and persistent Toll-like receptor 4-induced signals. Our results suggest a mechanism that enables the innate immune system to detect the duration of infection and to respond appropriately."}
{"STANDARD_NAME":"GSE14769_UNSTIM_VS_120MIN_LPS_BMDM_UP","SYSTEMATIC_NAME":"M3503","ORGANISM":"Mus musculus","PMID":"19270711","AUTHORS":"Litvak V,Ramsey SA,Rust AG,Zak DE,Kennedy KA,Lampano AE,Nykter M,Shmulevich I,Aderem A.","GEOID":"GSE14769","EXACT_SOURCE":"GSE14769_1133_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of unstimulated macrophage cells versus macrophage cells stimulated with LPS (TLR4 agonist) for 120 min.","DESCRIPTION_FULL":"The innate immune system is a two-edged sword; it is absolutely required for host defense against infection, but if left uncontrolled can trigger a plethora of inflammatory diseases. Here we used systems biology approaches to predict and validate a gene regulatory network involving a dynamic interplay between the transcription factors NF-κB, C/EBPδ, and ATF3 that controls inflammatory responses. We mathematically modeled transcriptional regulation of Il6 and Cebpd genes and experimentally validated the prediction that the combination of an initiator (NF-κB), an amplifier (C/EBPδ) and an attenuator (ATF3) forms a regulatory circuit that discriminates between transient and persistent Toll-like receptor 4-induced signals. Our results suggest a mechanism that enables the innate immune system to detect the duration of infection and to respond appropriately."}
{"STANDARD_NAME":"GSE14769_UNSTIM_VS_120MIN_LPS_BMDM_DN","SYSTEMATIC_NAME":"M3504","ORGANISM":"Mus musculus","PMID":"19270711","AUTHORS":"Litvak V,Ramsey SA,Rust AG,Zak DE,Kennedy KA,Lampano AE,Nykter M,Shmulevich I,Aderem A.","GEOID":"GSE14769","EXACT_SOURCE":"GSE14769_1133_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of unstimulated macrophage cells versus macrophage cells stimulated with LPS (TLR4 agonist) for 120 min.","DESCRIPTION_FULL":"The innate immune system is a two-edged sword; it is absolutely required for host defense against infection, but if left uncontrolled can trigger a plethora of inflammatory diseases. Here we used systems biology approaches to predict and validate a gene regulatory network involving a dynamic interplay between the transcription factors NF-κB, C/EBPδ, and ATF3 that controls inflammatory responses. We mathematically modeled transcriptional regulation of Il6 and Cebpd genes and experimentally validated the prediction that the combination of an initiator (NF-κB), an amplifier (C/EBPδ) and an attenuator (ATF3) forms a regulatory circuit that discriminates between transient and persistent Toll-like receptor 4-induced signals. Our results suggest a mechanism that enables the innate immune system to detect the duration of infection and to respond appropriately."}
{"STANDARD_NAME":"GSE14769_UNSTIM_VS_240MIN_LPS_BMDM_UP","SYSTEMATIC_NAME":"M3507","ORGANISM":"Mus musculus","PMID":"19270711","AUTHORS":"Litvak V,Ramsey SA,Rust AG,Zak DE,Kennedy KA,Lampano AE,Nykter M,Shmulevich I,Aderem A.","GEOID":"GSE14769","EXACT_SOURCE":"GSE14769_1134_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of unstimulated macrophage cells versus macrophage cells stimulated with LPS (TLR4 agonist) for 240 min.","DESCRIPTION_FULL":"The innate immune system is a two-edged sword; it is absolutely required for host defense against infection, but if left uncontrolled can trigger a plethora of inflammatory diseases. Here we used systems biology approaches to predict and validate a gene regulatory network involving a dynamic interplay between the transcription factors NF-κB, C/EBPδ, and ATF3 that controls inflammatory responses. We mathematically modeled transcriptional regulation of Il6 and Cebpd genes and experimentally validated the prediction that the combination of an initiator (NF-κB), an amplifier (C/EBPδ) and an attenuator (ATF3) forms a regulatory circuit that discriminates between transient and persistent Toll-like receptor 4-induced signals. Our results suggest a mechanism that enables the innate immune system to detect the duration of infection and to respond appropriately."}
{"STANDARD_NAME":"GSE14769_UNSTIM_VS_240MIN_LPS_BMDM_DN","SYSTEMATIC_NAME":"M3508","ORGANISM":"Mus musculus","PMID":"19270711","AUTHORS":"Litvak V,Ramsey SA,Rust AG,Zak DE,Kennedy KA,Lampano AE,Nykter M,Shmulevich I,Aderem A.","GEOID":"GSE14769","EXACT_SOURCE":"GSE14769_1134_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of unstimulated macrophage cells versus macrophage cells stimulated with LPS (TLR4 agonist) for 240 min.","DESCRIPTION_FULL":"The innate immune system is a two-edged sword; it is absolutely required for host defense against infection, but if left uncontrolled can trigger a plethora of inflammatory diseases. Here we used systems biology approaches to predict and validate a gene regulatory network involving a dynamic interplay between the transcription factors NF-κB, C/EBPδ, and ATF3 that controls inflammatory responses. We mathematically modeled transcriptional regulation of Il6 and Cebpd genes and experimentally validated the prediction that the combination of an initiator (NF-κB), an amplifier (C/EBPδ) and an attenuator (ATF3) forms a regulatory circuit that discriminates between transient and persistent Toll-like receptor 4-induced signals. Our results suggest a mechanism that enables the innate immune system to detect the duration of infection and to respond appropriately."}
{"STANDARD_NAME":"GSE14769_UNSTIM_VS_360MIN_LPS_BMDM_UP","SYSTEMATIC_NAME":"M3509","ORGANISM":"Mus musculus","PMID":"19270711","AUTHORS":"Litvak V,Ramsey SA,Rust AG,Zak DE,Kennedy KA,Lampano AE,Nykter M,Shmulevich I,Aderem A.","GEOID":"GSE14769","EXACT_SOURCE":"GSE14769_1135_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of unstimulated macrophage cells versus macrophage cells stimulated with LPS (TLR4 agonist) for 360 min.","DESCRIPTION_FULL":"The innate immune system is a two-edged sword; it is absolutely required for host defense against infection, but if left uncontrolled can trigger a plethora of inflammatory diseases. Here we used systems biology approaches to predict and validate a gene regulatory network involving a dynamic interplay between the transcription factors NF-κB, C/EBPδ, and ATF3 that controls inflammatory responses. We mathematically modeled transcriptional regulation of Il6 and Cebpd genes and experimentally validated the prediction that the combination of an initiator (NF-κB), an amplifier (C/EBPδ) and an attenuator (ATF3) forms a regulatory circuit that discriminates between transient and persistent Toll-like receptor 4-induced signals. Our results suggest a mechanism that enables the innate immune system to detect the duration of infection and to respond appropriately."}
{"STANDARD_NAME":"GSE14769_UNSTIM_VS_360MIN_LPS_BMDM_DN","SYSTEMATIC_NAME":"M3510","ORGANISM":"Mus musculus","PMID":"19270711","AUTHORS":"Litvak V,Ramsey SA,Rust AG,Zak DE,Kennedy KA,Lampano AE,Nykter M,Shmulevich I,Aderem A.","GEOID":"GSE14769","EXACT_SOURCE":"GSE14769_1135_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of unstimulated macrophage cells versus macrophage cells stimulated with LPS (TLR4 agonist) for 360 min.","DESCRIPTION_FULL":"The innate immune system is a two-edged sword; it is absolutely required for host defense against infection, but if left uncontrolled can trigger a plethora of inflammatory diseases. Here we used systems biology approaches to predict and validate a gene regulatory network involving a dynamic interplay between the transcription factors NF-κB, C/EBPδ, and ATF3 that controls inflammatory responses. We mathematically modeled transcriptional regulation of Il6 and Cebpd genes and experimentally validated the prediction that the combination of an initiator (NF-κB), an amplifier (C/EBPδ) and an attenuator (ATF3) forms a regulatory circuit that discriminates between transient and persistent Toll-like receptor 4-induced signals. Our results suggest a mechanism that enables the innate immune system to detect the duration of infection and to respond appropriately."}
{"STANDARD_NAME":"GSE14769_20MIN_VS_360MIN_LPS_BMDM_UP","SYSTEMATIC_NAME":"M3511","ORGANISM":"Mus musculus","PMID":"19270711","AUTHORS":"Litvak V,Ramsey SA,Rust AG,Zak DE,Kennedy KA,Lampano AE,Nykter M,Shmulevich I,Aderem A.","GEOID":"GSE14769","EXACT_SOURCE":"GSE14769_1136_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of macrophage cells stimulated with LPS (TLR4 agonist) for 20 min versus macrophage cells stimulated with LPS (TLR4 agonist) for 360 min.","DESCRIPTION_FULL":"The innate immune system is a two-edged sword; it is absolutely required for host defense against infection, but if left uncontrolled can trigger a plethora of inflammatory diseases. Here we used systems biology approaches to predict and validate a gene regulatory network involving a dynamic interplay between the transcription factors NF-κB, C/EBPδ, and ATF3 that controls inflammatory responses. We mathematically modeled transcriptional regulation of Il6 and Cebpd genes and experimentally validated the prediction that the combination of an initiator (NF-κB), an amplifier (C/EBPδ) and an attenuator (ATF3) forms a regulatory circuit that discriminates between transient and persistent Toll-like receptor 4-induced signals. Our results suggest a mechanism that enables the innate immune system to detect the duration of infection and to respond appropriately."}
{"STANDARD_NAME":"GSE14769_20MIN_VS_360MIN_LPS_BMDM_DN","SYSTEMATIC_NAME":"M3513","ORGANISM":"Mus musculus","PMID":"19270711","AUTHORS":"Litvak V,Ramsey SA,Rust AG,Zak DE,Kennedy KA,Lampano AE,Nykter M,Shmulevich I,Aderem A.","GEOID":"GSE14769","EXACT_SOURCE":"GSE14769_1136_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of macrophage cells stimulated with LPS (TLR4 agonist) for 20 min versus macrophage cells stimulated with LPS (TLR4 agonist) for 360 min.","DESCRIPTION_FULL":"The innate immune system is a two-edged sword; it is absolutely required for host defense against infection, but if left uncontrolled can trigger a plethora of inflammatory diseases. Here we used systems biology approaches to predict and validate a gene regulatory network involving a dynamic interplay between the transcription factors NF-κB, C/EBPδ, and ATF3 that controls inflammatory responses. We mathematically modeled transcriptional regulation of Il6 and Cebpd genes and experimentally validated the prediction that the combination of an initiator (NF-κB), an amplifier (C/EBPδ) and an attenuator (ATF3) forms a regulatory circuit that discriminates between transient and persistent Toll-like receptor 4-induced signals. Our results suggest a mechanism that enables the innate immune system to detect the duration of infection and to respond appropriately."}
{"STANDARD_NAME":"GSE14769_40MIN_VS_360MIN_LPS_BMDM_UP","SYSTEMATIC_NAME":"M3514","ORGANISM":"Mus musculus","PMID":"19270711","AUTHORS":"Litvak V,Ramsey SA,Rust AG,Zak DE,Kennedy KA,Lampano AE,Nykter M,Shmulevich I,Aderem A.","GEOID":"GSE14769","EXACT_SOURCE":"GSE14769_1137_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of macrophage cells stimulated with LPS (TLR4 agonist) for 40 min versus macrophage cells stimulated with LPS (TLR4 agonist) for 360 min.","DESCRIPTION_FULL":"The innate immune system is a two-edged sword; it is absolutely required for host defense against infection, but if left uncontrolled can trigger a plethora of inflammatory diseases. Here we used systems biology approaches to predict and validate a gene regulatory network involving a dynamic interplay between the transcription factors NF-κB, C/EBPδ, and ATF3 that controls inflammatory responses. We mathematically modeled transcriptional regulation of Il6 and Cebpd genes and experimentally validated the prediction that the combination of an initiator (NF-κB), an amplifier (C/EBPδ) and an attenuator (ATF3) forms a regulatory circuit that discriminates between transient and persistent Toll-like receptor 4-induced signals. Our results suggest a mechanism that enables the innate immune system to detect the duration of infection and to respond appropriately."}
{"STANDARD_NAME":"GSE14769_40MIN_VS_360MIN_LPS_BMDM_DN","SYSTEMATIC_NAME":"M3517","ORGANISM":"Mus musculus","PMID":"19270711","AUTHORS":"Litvak V,Ramsey SA,Rust AG,Zak DE,Kennedy KA,Lampano AE,Nykter M,Shmulevich I,Aderem A.","GEOID":"GSE14769","EXACT_SOURCE":"GSE14769_1137_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of macrophage cells stimulated with LPS (TLR4 agonist) for 40 min versus macrophage cells stimulated with LPS (TLR4 agonist) for 360 min.","DESCRIPTION_FULL":"The innate immune system is a two-edged sword; it is absolutely required for host defense against infection, but if left uncontrolled can trigger a plethora of inflammatory diseases. Here we used systems biology approaches to predict and validate a gene regulatory network involving a dynamic interplay between the transcription factors NF-κB, C/EBPδ, and ATF3 that controls inflammatory responses. We mathematically modeled transcriptional regulation of Il6 and Cebpd genes and experimentally validated the prediction that the combination of an initiator (NF-κB), an amplifier (C/EBPδ) and an attenuator (ATF3) forms a regulatory circuit that discriminates between transient and persistent Toll-like receptor 4-induced signals. Our results suggest a mechanism that enables the innate immune system to detect the duration of infection and to respond appropriately."}
{"STANDARD_NAME":"GSE15215_CD2_POS_VS_NEG_PDC_UP","SYSTEMATIC_NAME":"M3519","ORGANISM":"Homo sapiens","PMID":"19454677","AUTHORS":"Matsui T,Connolly JE,Michnevitz M,Chaussabel D,Yu CI,Glaser C,Tindle S,Pypaert M,Freitas H,Piqueras B,Banchereau J,Palucka AK.","GEOID":"GSE15215","EXACT_SOURCE":"GSE15215_1537_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD2+ plasmacytoid dendritic cells (DC) versus CD2- cells.","DESCRIPTION_FULL":"Plasmacytoid dendritic cells (pDCs) are key regulators of anti-viral immunity. They rapidly secrete IFN-alpha and cross-present viral antigens thereby launching adaptive immunity. Here we show that activated human pDCs inhibit replication of cancer cells, and kill them in a contact dependent fashion. Expression of CD2 distinguishes two pDC subsets with distinct phenotype and function. Both subsets secrete IFN-alpha and express Granzyme B and TRAIL. CD2high pDCs uniquely express lysozyme and can be found in tonsils and in tumors. Both subsets launch recall T cell response. However, CD2high pDCs secrete higher levels of IL12 p40, express higher levels of co-stimulatory molecule CD80 and are more efficient in triggering proliferation of naïve allogeneic T cells. Thus, human blood pDCs are composed of subsets with specific phenotype and functions."}
{"STANDARD_NAME":"GSE15215_CD2_POS_VS_NEG_PDC_DN","SYSTEMATIC_NAME":"M3521","ORGANISM":"Homo sapiens","PMID":"19454677","AUTHORS":"Matsui T,Connolly JE,Michnevitz M,Chaussabel D,Yu CI,Glaser C,Tindle S,Pypaert M,Freitas H,Piqueras B,Banchereau J,Palucka AK.","GEOID":"GSE15215","EXACT_SOURCE":"GSE15215_1537_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD2+ plasmacytoid dendritic cells (DC) versus CD2- cells.","DESCRIPTION_FULL":"Plasmacytoid dendritic cells (pDCs) are key regulators of anti-viral immunity. They rapidly secrete IFN-alpha and cross-present viral antigens thereby launching adaptive immunity. Here we show that activated human pDCs inhibit replication of cancer cells, and kill them in a contact dependent fashion. Expression of CD2 distinguishes two pDC subsets with distinct phenotype and function. Both subsets secrete IFN-alpha and express Granzyme B and TRAIL. CD2high pDCs uniquely express lysozyme and can be found in tonsils and in tumors. Both subsets launch recall T cell response. However, CD2high pDCs secrete higher levels of IL12 p40, express higher levels of co-stimulatory molecule CD80 and are more efficient in triggering proliferation of naïve allogeneic T cells. Thus, human blood pDCs are composed of subsets with specific phenotype and functions."}
{"STANDARD_NAME":"GSE15324_NAIVE_VS_ACTIVATED_CD8_TCELL_UP","SYSTEMATIC_NAME":"M3523","ORGANISM":"Mus musculus","PMID":"19412182","AUTHORS":"Yamada T,Park CS,Mamonkin M,Lacorazza HD.","GEOID":"GSE15324","EXACT_SOURCE":"GSE15324_1138_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive CD8 T cells versus activated CD8 T cells.","DESCRIPTION_FULL":"Transcription factors that regulate quiescence, proliferation, and homing of lymphocytes are critical for effective immune system function. In the present study, we demonstrated that the transcription factor ELF4 directly activates the tumor suppressor KLF4 downstream of T cell receptor (TCR) signaling to induce cell cycle arrest in naive CD8+ T cells. Elf4- and Klf4-deficient mice accumulated CD8+CD44hi T cells during steady-state conditions and generated more memory T cells after immunization. The homeostatic expansion of CD8+CD44hi T cells in Elf4-null mice resulted in a redistribution of cells to non-lymphoid tissue due to reduced expression of the transcription factor KLF2, and the surface proteins CCR7 and CD62L. This work describes the combinatorial role of lymphocyte-intrinsic factors in the control of T cell homeostasis, activation and homing."}
{"STANDARD_NAME":"GSE15324_NAIVE_VS_ACTIVATED_CD8_TCELL_DN","SYSTEMATIC_NAME":"M3525","ORGANISM":"Mus musculus","PMID":"19412182","AUTHORS":"Yamada T,Park CS,Mamonkin M,Lacorazza HD.","GEOID":"GSE15324","EXACT_SOURCE":"GSE15324_1138_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive CD8 T cells versus activated CD8 T cells.","DESCRIPTION_FULL":"Transcription factors that regulate quiescence, proliferation, and homing of lymphocytes are critical for effective immune system function. In the present study, we demonstrated that the transcription factor ELF4 directly activates the tumor suppressor KLF4 downstream of T cell receptor (TCR) signaling to induce cell cycle arrest in naive CD8+ T cells. Elf4- and Klf4-deficient mice accumulated CD8+CD44hi T cells during steady-state conditions and generated more memory T cells after immunization. The homeostatic expansion of CD8+CD44hi T cells in Elf4-null mice resulted in a redistribution of cells to non-lymphoid tissue due to reduced expression of the transcription factor KLF2, and the surface proteins CCR7 and CD62L. This work describes the combinatorial role of lymphocyte-intrinsic factors in the control of T cell homeostasis, activation and homing."}
{"STANDARD_NAME":"GSE15324_NAIVE_VS_ACTIVATED_ELF4_KO_CD8_TCELL_UP","SYSTEMATIC_NAME":"M3526","ORGANISM":"Mus musculus","PMID":"19412182","AUTHORS":"Yamada T,Park CS,Mamonkin M,Lacorazza HD.","GEOID":"GSE15324","EXACT_SOURCE":"GSE15324_1139_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive CD8 T cells from ELF4 [GeneID=2000] defficient mice versus activated CD8 T cells from ELF4 [GeneID=2000] defficient animals.","DESCRIPTION_FULL":"Transcription factors that regulate quiescence, proliferation, and homing of lymphocytes are critical for effective immune system function. In the present study, we demonstrated that the transcription factor ELF4 directly activates the tumor suppressor KLF4 downstream of T cell receptor (TCR) signaling to induce cell cycle arrest in naive CD8+ T cells. Elf4- and Klf4-deficient mice accumulated CD8+CD44hi T cells during steady-state conditions and generated more memory T cells after immunization. The homeostatic expansion of CD8+CD44hi T cells in Elf4-null mice resulted in a redistribution of cells to non-lymphoid tissue due to reduced expression of the transcription factor KLF2, and the surface proteins CCR7 and CD62L. This work describes the combinatorial role of lymphocyte-intrinsic factors in the control of T cell homeostasis, activation and homing."}
{"STANDARD_NAME":"GSE15324_NAIVE_VS_ACTIVATED_ELF4_KO_CD8_TCELL_DN","SYSTEMATIC_NAME":"M3527","ORGANISM":"Mus musculus","PMID":"19412182","AUTHORS":"Yamada T,Park CS,Mamonkin M,Lacorazza HD.","GEOID":"GSE15324","EXACT_SOURCE":"GSE15324_1139_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive CD8 T cells from ELF4 [GeneID=2000] defficient mice versus activated CD8 T cells from ELF4 [GeneID=2000] defficient animals.","DESCRIPTION_FULL":"Transcription factors that regulate quiescence, proliferation, and homing of lymphocytes are critical for effective immune system function. In the present study, we demonstrated that the transcription factor ELF4 directly activates the tumor suppressor KLF4 downstream of T cell receptor (TCR) signaling to induce cell cycle arrest in naive CD8+ T cells. Elf4- and Klf4-deficient mice accumulated CD8+CD44hi T cells during steady-state conditions and generated more memory T cells after immunization. The homeostatic expansion of CD8+CD44hi T cells in Elf4-null mice resulted in a redistribution of cells to non-lymphoid tissue due to reduced expression of the transcription factor KLF2, and the surface proteins CCR7 and CD62L. This work describes the combinatorial role of lymphocyte-intrinsic factors in the control of T cell homeostasis, activation and homing."}
{"STANDARD_NAME":"GSE15324_ELF4_KO_VS_WT_NAIVE_CD8_TCELL_UP","SYSTEMATIC_NAME":"M3529","ORGANISM":"Mus musculus","PMID":"19412182","AUTHORS":"Yamada T,Park CS,Mamonkin M,Lacorazza HD.","GEOID":"GSE15324","EXACT_SOURCE":"GSE15324_1140_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive CD8 T cells from ELF4 [GeneID=2000] defficient mice versus those from wild type animals.","DESCRIPTION_FULL":"Transcription factors that regulate quiescence, proliferation, and homing of lymphocytes are critical for effective immune system function. In the present study, we demonstrated that the transcription factor ELF4 directly activates the tumor suppressor KLF4 downstream of T cell receptor (TCR) signaling to induce cell cycle arrest in naive CD8+ T cells. Elf4- and Klf4-deficient mice accumulated CD8+CD44hi T cells during steady-state conditions and generated more memory T cells after immunization. The homeostatic expansion of CD8+CD44hi T cells in Elf4-null mice resulted in a redistribution of cells to non-lymphoid tissue due to reduced expression of the transcription factor KLF2, and the surface proteins CCR7 and CD62L. This work describes the combinatorial role of lymphocyte-intrinsic factors in the control of T cell homeostasis, activation and homing."}
{"STANDARD_NAME":"GSE15324_ELF4_KO_VS_WT_NAIVE_CD8_TCELL_DN","SYSTEMATIC_NAME":"M3530","ORGANISM":"Mus musculus","PMID":"19412182","AUTHORS":"Yamada T,Park CS,Mamonkin M,Lacorazza HD.","GEOID":"GSE15324","EXACT_SOURCE":"GSE15324_1140_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive CD8 T cells from ELF4 [GeneID=2000] defficient mice versus those from wild type animals.","DESCRIPTION_FULL":"Transcription factors that regulate quiescence, proliferation, and homing of lymphocytes are critical for effective immune system function. In the present study, we demonstrated that the transcription factor ELF4 directly activates the tumor suppressor KLF4 downstream of T cell receptor (TCR) signaling to induce cell cycle arrest in naive CD8+ T cells. Elf4- and Klf4-deficient mice accumulated CD8+CD44hi T cells during steady-state conditions and generated more memory T cells after immunization. The homeostatic expansion of CD8+CD44hi T cells in Elf4-null mice resulted in a redistribution of cells to non-lymphoid tissue due to reduced expression of the transcription factor KLF2, and the surface proteins CCR7 and CD62L. This work describes the combinatorial role of lymphocyte-intrinsic factors in the control of T cell homeostasis, activation and homing."}
{"STANDARD_NAME":"GSE15324_ELF4_KO_VS_WT_ACTIVATED_CD8_TCELL_UP","SYSTEMATIC_NAME":"M3531","ORGANISM":"Mus musculus","PMID":"19412182","AUTHORS":"Yamada T,Park CS,Mamonkin M,Lacorazza HD.","GEOID":"GSE15324","EXACT_SOURCE":"GSE15324_1141_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of activated CD8 T cells from ELF4 [GeneID=2000] defficient mice versus those from wild type animals.","DESCRIPTION_FULL":"Transcription factors that regulate quiescence, proliferation, and homing of lymphocytes are critical for effective immune system function. In the present study, we demonstrated that the transcription factor ELF4 directly activates the tumor suppressor KLF4 downstream of T cell receptor (TCR) signaling to induce cell cycle arrest in naive CD8+ T cells. Elf4- and Klf4-deficient mice accumulated CD8+CD44hi T cells during steady-state conditions and generated more memory T cells after immunization. The homeostatic expansion of CD8+CD44hi T cells in Elf4-null mice resulted in a redistribution of cells to non-lymphoid tissue due to reduced expression of the transcription factor KLF2, and the surface proteins CCR7 and CD62L. This work describes the combinatorial role of lymphocyte-intrinsic factors in the control of T cell homeostasis, activation and homing."}
{"STANDARD_NAME":"GSE15324_ELF4_KO_VS_WT_ACTIVATED_CD8_TCELL_DN","SYSTEMATIC_NAME":"M3533","ORGANISM":"Mus musculus","PMID":"19412182","AUTHORS":"Yamada T,Park CS,Mamonkin M,Lacorazza HD.","GEOID":"GSE15324","EXACT_SOURCE":"GSE15324_1141_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of activated CD8 T cells from ELF4 [GeneID=2000] defficient mice versus those from wild type animals.","DESCRIPTION_FULL":"Transcription factors that regulate quiescence, proliferation, and homing of lymphocytes are critical for effective immune system function. In the present study, we demonstrated that the transcription factor ELF4 directly activates the tumor suppressor KLF4 downstream of T cell receptor (TCR) signaling to induce cell cycle arrest in naive CD8+ T cells. Elf4- and Klf4-deficient mice accumulated CD8+CD44hi T cells during steady-state conditions and generated more memory T cells after immunization. The homeostatic expansion of CD8+CD44hi T cells in Elf4-null mice resulted in a redistribution of cells to non-lymphoid tissue due to reduced expression of the transcription factor KLF2, and the surface proteins CCR7 and CD62L. This work describes the combinatorial role of lymphocyte-intrinsic factors in the control of T cell homeostasis, activation and homing."}
{"STANDARD_NAME":"GSE15659_TREG_VS_TCONV_UP","SYSTEMATIC_NAME":"M3534","ORGANISM":"Homo sapiens","PMID":"19464196","AUTHORS":"Miyara M,Yoshioka Y,Kitoh A,Shima T,Wing K,Niwa A,Parizot C,Taflin C,Heike T,Valeyre D,Mathian A,Nakahata T,Yamaguchi T,Nomura T,Ono M,Amoura Z,Gorochov G,Sakaguchi S.","GEOID":"GSE15659","EXACT_SOURCE":"GSE15659_1415_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of regulatory T cell (Treg) versus conventional T cells.","DESCRIPTION_FULL":"Gene expression profiles of subsets of CD4+ T cells according to their expression of FoxP3 and CD45RA were compared. FoxP3 is a key transcription factor for the development and function of natural CD4+ regulatory T cells (Tregs). Here we show that human FoxP3+CD4+ T cells are composed of three phenotypically and functionally distinct subpopulations: CD45RA+FoxP3low resting Tregs (rTregs) and CD45RA-FoxP3high activated Tregs (aTregs), both of which are suppressive in vitro, and cytokine-secreting CD45RA-FoxP3low non-suppressive T cells. The proportion of the three subpopulations characteristically altered in cord blood, aged individuals, and patients with immunological diseases. Terminally differentiated aTregs rapidly die while rTregs proliferate and convert into aTregs in vitro and in vivo as shown by the transfer of rTregs into NOD-scid-common gamma-chain-knockout mice and by TCR sequence-based T cell clonotype tracing in peripheral blood of normal individuals. Taken together, the dissection of FoxP3+ cells into subsets enables one to analyze Treg differentiation dynamics and interactions in normal and disease states, and to control immune responses through manipulating particular FoxP3+ subpopulations."}
{"STANDARD_NAME":"GSE15659_TREG_VS_TCONV_DN","SYSTEMATIC_NAME":"M3535","ORGANISM":"Homo sapiens","PMID":"19464196","AUTHORS":"Miyara M,Yoshioka Y,Kitoh A,Shima T,Wing K,Niwa A,Parizot C,Taflin C,Heike T,Valeyre D,Mathian A,Nakahata T,Yamaguchi T,Nomura T,Ono M,Amoura Z,Gorochov G,Sakaguchi S.","GEOID":"GSE15659","EXACT_SOURCE":"GSE15659_1415_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of regulatory T cell (Treg) versus conventional T cells.","DESCRIPTION_FULL":"Gene expression profiles of subsets of CD4+ T cells according to their expression of FoxP3 and CD45RA were compared. FoxP3 is a key transcription factor for the development and function of natural CD4+ regulatory T cells (Tregs). Here we show that human FoxP3+CD4+ T cells are composed of three phenotypically and functionally distinct subpopulations: CD45RA+FoxP3low resting Tregs (rTregs) and CD45RA-FoxP3high activated Tregs (aTregs), both of which are suppressive in vitro, and cytokine-secreting CD45RA-FoxP3low non-suppressive T cells. The proportion of the three subpopulations characteristically altered in cord blood, aged individuals, and patients with immunological diseases. Terminally differentiated aTregs rapidly die while rTregs proliferate and convert into aTregs in vitro and in vivo as shown by the transfer of rTregs into NOD-scid-common gamma-chain-knockout mice and by TCR sequence-based T cell clonotype tracing in peripheral blood of normal individuals. Taken together, the dissection of FoxP3+ cells into subsets enables one to analyze Treg differentiation dynamics and interactions in normal and disease states, and to control immune responses through manipulating particular FoxP3+ subpopulations."}
{"STANDARD_NAME":"GSE15659_NAIVE_VS_PTPRC_NEG_CD4_TCELL_UP","SYSTEMATIC_NAME":"M3536","ORGANISM":"Homo sapiens","PMID":"19464196","AUTHORS":"Miyara M,Yoshioka Y,Kitoh A,Shima T,Wing K,Niwa A,Parizot C,Taflin C,Heike T,Valeyre D,Mathian A,Nakahata T,Yamaguchi T,Nomura T,Ono M,Amoura Z,Gorochov G,Sakaguchi S.","GEOID":"GSE15659","EXACT_SOURCE":"GSE15659_1416_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive CD4 [GeneID=920] T cells versus PTPRC+ [GeneID=5788] CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"Gene expression profiles of subsets of CD4+ T cells according to their expression of FoxP3 and CD45RA were compared. FoxP3 is a key transcription factor for the development and function of natural CD4+ regulatory T cells (Tregs). Here we show that human FoxP3+CD4+ T cells are composed of three phenotypically and functionally distinct subpopulations: CD45RA+FoxP3low resting Tregs (rTregs) and CD45RA-FoxP3high activated Tregs (aTregs), both of which are suppressive in vitro, and cytokine-secreting CD45RA-FoxP3low non-suppressive T cells. The proportion of the three subpopulations characteristically altered in cord blood, aged individuals, and patients with immunological diseases. Terminally differentiated aTregs rapidly die while rTregs proliferate and convert into aTregs in vitro and in vivo as shown by the transfer of rTregs into NOD-scid-common gamma-chain-knockout mice and by TCR sequence-based T cell clonotype tracing in peripheral blood of normal individuals. Taken together, the dissection of FoxP3+ cells into subsets enables one to analyze Treg differentiation dynamics and interactions in normal and disease states, and to control immune responses through manipulating particular FoxP3+ subpopulations."}
{"STANDARD_NAME":"GSE15659_NAIVE_VS_PTPRC_NEG_CD4_TCELL_DN","SYSTEMATIC_NAME":"M3538","ORGANISM":"Homo sapiens","PMID":"19464196","AUTHORS":"Miyara M,Yoshioka Y,Kitoh A,Shima T,Wing K,Niwa A,Parizot C,Taflin C,Heike T,Valeyre D,Mathian A,Nakahata T,Yamaguchi T,Nomura T,Ono M,Amoura Z,Gorochov G,Sakaguchi S.","GEOID":"GSE15659","EXACT_SOURCE":"GSE15659_1416_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive CD4 [GeneID=920] T cells versus PTPRC+ [GeneID=5788] CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"Gene expression profiles of subsets of CD4+ T cells according to their expression of FoxP3 and CD45RA were compared. FoxP3 is a key transcription factor for the development and function of natural CD4+ regulatory T cells (Tregs). Here we show that human FoxP3+CD4+ T cells are composed of three phenotypically and functionally distinct subpopulations: CD45RA+FoxP3low resting Tregs (rTregs) and CD45RA-FoxP3high activated Tregs (aTregs), both of which are suppressive in vitro, and cytokine-secreting CD45RA-FoxP3low non-suppressive T cells. The proportion of the three subpopulations characteristically altered in cord blood, aged individuals, and patients with immunological diseases. Terminally differentiated aTregs rapidly die while rTregs proliferate and convert into aTregs in vitro and in vivo as shown by the transfer of rTregs into NOD-scid-common gamma-chain-knockout mice and by TCR sequence-based T cell clonotype tracing in peripheral blood of normal individuals. Taken together, the dissection of FoxP3+ cells into subsets enables one to analyze Treg differentiation dynamics and interactions in normal and disease states, and to control immune responses through manipulating particular FoxP3+ subpopulations."}
{"STANDARD_NAME":"GSE15659_NAIVE_CD4_TCELL_VS_RESTING_TREG_UP","SYSTEMATIC_NAME":"M3540","ORGANISM":"Homo sapiens","PMID":"19464196","AUTHORS":"Miyara M,Yoshioka Y,Kitoh A,Shima T,Wing K,Niwa A,Parizot C,Taflin C,Heike T,Valeyre D,Mathian A,Nakahata T,Yamaguchi T,Nomura T,Ono M,Amoura Z,Gorochov G,Sakaguchi S.","GEOID":"GSE15659","EXACT_SOURCE":"GSE15659_1417_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive CD4 [GeneID=920] T cells versus resting regulatory T cell (Treg).","DESCRIPTION_FULL":"Gene expression profiles of subsets of CD4+ T cells according to their expression of FoxP3 and CD45RA were compared. FoxP3 is a key transcription factor for the development and function of natural CD4+ regulatory T cells (Tregs). Here we show that human FoxP3+CD4+ T cells are composed of three phenotypically and functionally distinct subpopulations: CD45RA+FoxP3low resting Tregs (rTregs) and CD45RA-FoxP3high activated Tregs (aTregs), both of which are suppressive in vitro, and cytokine-secreting CD45RA-FoxP3low non-suppressive T cells. The proportion of the three subpopulations characteristically altered in cord blood, aged individuals, and patients with immunological diseases. Terminally differentiated aTregs rapidly die while rTregs proliferate and convert into aTregs in vitro and in vivo as shown by the transfer of rTregs into NOD-scid-common gamma-chain-knockout mice and by TCR sequence-based T cell clonotype tracing in peripheral blood of normal individuals. Taken together, the dissection of FoxP3+ cells into subsets enables one to analyze Treg differentiation dynamics and interactions in normal and disease states, and to control immune responses through manipulating particular FoxP3+ subpopulations."}
{"STANDARD_NAME":"GSE15659_NAIVE_CD4_TCELL_VS_RESTING_TREG_DN","SYSTEMATIC_NAME":"M3542","ORGANISM":"Homo sapiens","PMID":"19464196","AUTHORS":"Miyara M,Yoshioka Y,Kitoh A,Shima T,Wing K,Niwa A,Parizot C,Taflin C,Heike T,Valeyre D,Mathian A,Nakahata T,Yamaguchi T,Nomura T,Ono M,Amoura Z,Gorochov G,Sakaguchi S.","GEOID":"GSE15659","EXACT_SOURCE":"GSE15659_1417_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive CD4 [GeneID=920] T cells versus resting regulatory T cell (Treg).","DESCRIPTION_FULL":"Gene expression profiles of subsets of CD4+ T cells according to their expression of FoxP3 and CD45RA were compared. FoxP3 is a key transcription factor for the development and function of natural CD4+ regulatory T cells (Tregs). Here we show that human FoxP3+CD4+ T cells are composed of three phenotypically and functionally distinct subpopulations: CD45RA+FoxP3low resting Tregs (rTregs) and CD45RA-FoxP3high activated Tregs (aTregs), both of which are suppressive in vitro, and cytokine-secreting CD45RA-FoxP3low non-suppressive T cells. The proportion of the three subpopulations characteristically altered in cord blood, aged individuals, and patients with immunological diseases. Terminally differentiated aTregs rapidly die while rTregs proliferate and convert into aTregs in vitro and in vivo as shown by the transfer of rTregs into NOD-scid-common gamma-chain-knockout mice and by TCR sequence-based T cell clonotype tracing in peripheral blood of normal individuals. Taken together, the dissection of FoxP3+ cells into subsets enables one to analyze Treg differentiation dynamics and interactions in normal and disease states, and to control immune responses through manipulating particular FoxP3+ subpopulations."}
{"STANDARD_NAME":"GSE15659_NAIVE_CD4_TCELL_VS_NONSUPPRESSIVE_TCELL_UP","SYSTEMATIC_NAME":"M3545","ORGANISM":"Homo sapiens","PMID":"19464196","AUTHORS":"Miyara M,Yoshioka Y,Kitoh A,Shima T,Wing K,Niwa A,Parizot C,Taflin C,Heike T,Valeyre D,Mathian A,Nakahata T,Yamaguchi T,Nomura T,Ono M,Amoura Z,Gorochov G,Sakaguchi S.","GEOID":"GSE15659","EXACT_SOURCE":"GSE15659_1418_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive CD4 [GeneID=920] T cells versus non-suppressive T cells.","DESCRIPTION_FULL":"Gene expression profiles of subsets of CD4+ T cells according to their expression of FoxP3 and CD45RA were compared. FoxP3 is a key transcription factor for the development and function of natural CD4+ regulatory T cells (Tregs). Here we show that human FoxP3+CD4+ T cells are composed of three phenotypically and functionally distinct subpopulations: CD45RA+FoxP3low resting Tregs (rTregs) and CD45RA-FoxP3high activated Tregs (aTregs), both of which are suppressive in vitro, and cytokine-secreting CD45RA-FoxP3low non-suppressive T cells. The proportion of the three subpopulations characteristically altered in cord blood, aged individuals, and patients with immunological diseases. Terminally differentiated aTregs rapidly die while rTregs proliferate and convert into aTregs in vitro and in vivo as shown by the transfer of rTregs into NOD-scid-common gamma-chain-knockout mice and by TCR sequence-based T cell clonotype tracing in peripheral blood of normal individuals. Taken together, the dissection of FoxP3+ cells into subsets enables one to analyze Treg differentiation dynamics and interactions in normal and disease states, and to control immune responses through manipulating particular FoxP3+ subpopulations."}
{"STANDARD_NAME":"GSE15659_NAIVE_CD4_TCELL_VS_NONSUPPRESSIVE_TCELL_DN","SYSTEMATIC_NAME":"M3547","ORGANISM":"Homo sapiens","PMID":"19464196","AUTHORS":"Miyara M,Yoshioka Y,Kitoh A,Shima T,Wing K,Niwa A,Parizot C,Taflin C,Heike T,Valeyre D,Mathian A,Nakahata T,Yamaguchi T,Nomura T,Ono M,Amoura Z,Gorochov G,Sakaguchi S.","GEOID":"GSE15659","EXACT_SOURCE":"GSE15659_1418_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive CD4 [GeneID=920] T cells versus non-suppressive T cells.","DESCRIPTION_FULL":"Gene expression profiles of subsets of CD4+ T cells according to their expression of FoxP3 and CD45RA were compared. FoxP3 is a key transcription factor for the development and function of natural CD4+ regulatory T cells (Tregs). Here we show that human FoxP3+CD4+ T cells are composed of three phenotypically and functionally distinct subpopulations: CD45RA+FoxP3low resting Tregs (rTregs) and CD45RA-FoxP3high activated Tregs (aTregs), both of which are suppressive in vitro, and cytokine-secreting CD45RA-FoxP3low non-suppressive T cells. The proportion of the three subpopulations characteristically altered in cord blood, aged individuals, and patients with immunological diseases. Terminally differentiated aTregs rapidly die while rTregs proliferate and convert into aTregs in vitro and in vivo as shown by the transfer of rTregs into NOD-scid-common gamma-chain-knockout mice and by TCR sequence-based T cell clonotype tracing in peripheral blood of normal individuals. Taken together, the dissection of FoxP3+ cells into subsets enables one to analyze Treg differentiation dynamics and interactions in normal and disease states, and to control immune responses through manipulating particular FoxP3+ subpopulations."}
{"STANDARD_NAME":"GSE15659_NAIVE_CD4_TCELL_VS_ACTIVATED_TREG_UP","SYSTEMATIC_NAME":"M3549","ORGANISM":"Homo sapiens","PMID":"19464196","AUTHORS":"Miyara M,Yoshioka Y,Kitoh A,Shima T,Wing K,Niwa A,Parizot C,Taflin C,Heike T,Valeyre D,Mathian A,Nakahata T,Yamaguchi T,Nomura T,Ono M,Amoura Z,Gorochov G,Sakaguchi S.","GEOID":"GSE15659","EXACT_SOURCE":"GSE15659_1419_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive CD4 [GeneID=920] T cells versus activated regulatory T cell (Treg).","DESCRIPTION_FULL":"Gene expression profiles of subsets of CD4+ T cells according to their expression of FoxP3 and CD45RA were compared. FoxP3 is a key transcription factor for the development and function of natural CD4+ regulatory T cells (Tregs). Here we show that human FoxP3+CD4+ T cells are composed of three phenotypically and functionally distinct subpopulations: CD45RA+FoxP3low resting Tregs (rTregs) and CD45RA-FoxP3high activated Tregs (aTregs), both of which are suppressive in vitro, and cytokine-secreting CD45RA-FoxP3low non-suppressive T cells. The proportion of the three subpopulations characteristically altered in cord blood, aged individuals, and patients with immunological diseases. Terminally differentiated aTregs rapidly die while rTregs proliferate and convert into aTregs in vitro and in vivo as shown by the transfer of rTregs into NOD-scid-common gamma-chain-knockout mice and by TCR sequence-based T cell clonotype tracing in peripheral blood of normal individuals. Taken together, the dissection of FoxP3+ cells into subsets enables one to analyze Treg differentiation dynamics and interactions in normal and disease states, and to control immune responses through manipulating particular FoxP3+ subpopulations."}
{"STANDARD_NAME":"GSE15659_NAIVE_CD4_TCELL_VS_ACTIVATED_TREG_DN","SYSTEMATIC_NAME":"M3550","ORGANISM":"Homo sapiens","PMID":"19464196","AUTHORS":"Miyara M,Yoshioka Y,Kitoh A,Shima T,Wing K,Niwa A,Parizot C,Taflin C,Heike T,Valeyre D,Mathian A,Nakahata T,Yamaguchi T,Nomura T,Ono M,Amoura Z,Gorochov G,Sakaguchi S.","GEOID":"GSE15659","EXACT_SOURCE":"GSE15659_1419_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive CD4 [GeneID=920] T cells versus activated regulatory T cell (Treg).","DESCRIPTION_FULL":"Gene expression profiles of subsets of CD4+ T cells according to their expression of FoxP3 and CD45RA were compared. FoxP3 is a key transcription factor for the development and function of natural CD4+ regulatory T cells (Tregs). Here we show that human FoxP3+CD4+ T cells are composed of three phenotypically and functionally distinct subpopulations: CD45RA+FoxP3low resting Tregs (rTregs) and CD45RA-FoxP3high activated Tregs (aTregs), both of which are suppressive in vitro, and cytokine-secreting CD45RA-FoxP3low non-suppressive T cells. The proportion of the three subpopulations characteristically altered in cord blood, aged individuals, and patients with immunological diseases. Terminally differentiated aTregs rapidly die while rTregs proliferate and convert into aTregs in vitro and in vivo as shown by the transfer of rTregs into NOD-scid-common gamma-chain-knockout mice and by TCR sequence-based T cell clonotype tracing in peripheral blood of normal individuals. Taken together, the dissection of FoxP3+ cells into subsets enables one to analyze Treg differentiation dynamics and interactions in normal and disease states, and to control immune responses through manipulating particular FoxP3+ subpopulations."}
{"STANDARD_NAME":"GSE15659_CD45RA_NEG_CD4_TCELL_VS_RESTING_TREG_UP","SYSTEMATIC_NAME":"M3551","ORGANISM":"Homo sapiens","PMID":"19464196","AUTHORS":"Miyara M,Yoshioka Y,Kitoh A,Shima T,Wing K,Niwa A,Parizot C,Taflin C,Heike T,Valeyre D,Mathian A,Nakahata T,Yamaguchi T,Nomura T,Ono M,Amoura Z,Gorochov G,Sakaguchi S.","GEOID":"GSE15659","EXACT_SOURCE":"GSE15659_1420_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of PTPRC- [GeneID=5788] CD4 [GeneID=920] T cells versus PTPRC+ [GeneID=5788] resting regulatory T cell (Treg).","DESCRIPTION_FULL":"Gene expression profiles of subsets of CD4+ T cells according to their expression of FoxP3 and CD45RA were compared. FoxP3 is a key transcription factor for the development and function of natural CD4+ regulatory T cells (Tregs). Here we show that human FoxP3+CD4+ T cells are composed of three phenotypically and functionally distinct subpopulations: CD45RA+FoxP3low resting Tregs (rTregs) and CD45RA-FoxP3high activated Tregs (aTregs), both of which are suppressive in vitro, and cytokine-secreting CD45RA-FoxP3low non-suppressive T cells. The proportion of the three subpopulations characteristically altered in cord blood, aged individuals, and patients with immunological diseases. Terminally differentiated aTregs rapidly die while rTregs proliferate and convert into aTregs in vitro and in vivo as shown by the transfer of rTregs into NOD-scid-common gamma-chain-knockout mice and by TCR sequence-based T cell clonotype tracing in peripheral blood of normal individuals. Taken together, the dissection of FoxP3+ cells into subsets enables one to analyze Treg differentiation dynamics and interactions in normal and disease states, and to control immune responses through manipulating particular FoxP3+ subpopulations."}
{"STANDARD_NAME":"GSE15659_CD45RA_NEG_CD4_TCELL_VS_RESTING_TREG_DN","SYSTEMATIC_NAME":"M3552","ORGANISM":"Homo sapiens","PMID":"19464196","AUTHORS":"Miyara M,Yoshioka Y,Kitoh A,Shima T,Wing K,Niwa A,Parizot C,Taflin C,Heike T,Valeyre D,Mathian A,Nakahata T,Yamaguchi T,Nomura T,Ono M,Amoura Z,Gorochov G,Sakaguchi S.","GEOID":"GSE15659","EXACT_SOURCE":"GSE15659_1420_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of PTPRC- [GeneID=5788] CD4 [GeneID=920] T cells versus PTPRC+ [GeneID=5788] resting regulatory T cell (Treg).","DESCRIPTION_FULL":"Gene expression profiles of subsets of CD4+ T cells according to their expression of FoxP3 and CD45RA were compared. FoxP3 is a key transcription factor for the development and function of natural CD4+ regulatory T cells (Tregs). Here we show that human FoxP3+CD4+ T cells are composed of three phenotypically and functionally distinct subpopulations: CD45RA+FoxP3low resting Tregs (rTregs) and CD45RA-FoxP3high activated Tregs (aTregs), both of which are suppressive in vitro, and cytokine-secreting CD45RA-FoxP3low non-suppressive T cells. The proportion of the three subpopulations characteristically altered in cord blood, aged individuals, and patients with immunological diseases. Terminally differentiated aTregs rapidly die while rTregs proliferate and convert into aTregs in vitro and in vivo as shown by the transfer of rTregs into NOD-scid-common gamma-chain-knockout mice and by TCR sequence-based T cell clonotype tracing in peripheral blood of normal individuals. Taken together, the dissection of FoxP3+ cells into subsets enables one to analyze Treg differentiation dynamics and interactions in normal and disease states, and to control immune responses through manipulating particular FoxP3+ subpopulations."}
{"STANDARD_NAME":"GSE15659_CD45RA_NEG_CD4_TCELL_VS_NONSUPPRESSIVE_TCELL_UP","SYSTEMATIC_NAME":"M3553","ORGANISM":"Homo sapiens","PMID":"19464196","AUTHORS":"Miyara M,Yoshioka Y,Kitoh A,Shima T,Wing K,Niwa A,Parizot C,Taflin C,Heike T,Valeyre D,Mathian A,Nakahata T,Yamaguchi T,Nomura T,Ono M,Amoura Z,Gorochov G,Sakaguchi S.","GEOID":"GSE15659","EXACT_SOURCE":"GSE15659_1421_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of PTPRC- [GeneID=5788] CD4 [GeneID=920] T cells versus non-suppressive T cells.","DESCRIPTION_FULL":"Gene expression profiles of subsets of CD4+ T cells according to their expression of FoxP3 and CD45RA were compared. FoxP3 is a key transcription factor for the development and function of natural CD4+ regulatory T cells (Tregs). Here we show that human FoxP3+CD4+ T cells are composed of three phenotypically and functionally distinct subpopulations: CD45RA+FoxP3low resting Tregs (rTregs) and CD45RA-FoxP3high activated Tregs (aTregs), both of which are suppressive in vitro, and cytokine-secreting CD45RA-FoxP3low non-suppressive T cells. The proportion of the three subpopulations characteristically altered in cord blood, aged individuals, and patients with immunological diseases. Terminally differentiated aTregs rapidly die while rTregs proliferate and convert into aTregs in vitro and in vivo as shown by the transfer of rTregs into NOD-scid-common gamma-chain-knockout mice and by TCR sequence-based T cell clonotype tracing in peripheral blood of normal individuals. Taken together, the dissection of FoxP3+ cells into subsets enables one to analyze Treg differentiation dynamics and interactions in normal and disease states, and to control immune responses through manipulating particular FoxP3+ subpopulations."}
{"STANDARD_NAME":"GSE15659_CD45RA_NEG_CD4_TCELL_VS_NONSUPPRESSIVE_TCELL_DN","SYSTEMATIC_NAME":"M3554","ORGANISM":"Homo sapiens","PMID":"19464196","AUTHORS":"Miyara M,Yoshioka Y,Kitoh A,Shima T,Wing K,Niwa A,Parizot C,Taflin C,Heike T,Valeyre D,Mathian A,Nakahata T,Yamaguchi T,Nomura T,Ono M,Amoura Z,Gorochov G,Sakaguchi S.","GEOID":"GSE15659","EXACT_SOURCE":"GSE15659_1421_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of PTPRC- [GeneID=5788] CD4 [GeneID=920] T cells versus non-suppressive T cells.","DESCRIPTION_FULL":"Gene expression profiles of subsets of CD4+ T cells according to their expression of FoxP3 and CD45RA were compared. FoxP3 is a key transcription factor for the development and function of natural CD4+ regulatory T cells (Tregs). Here we show that human FoxP3+CD4+ T cells are composed of three phenotypically and functionally distinct subpopulations: CD45RA+FoxP3low resting Tregs (rTregs) and CD45RA-FoxP3high activated Tregs (aTregs), both of which are suppressive in vitro, and cytokine-secreting CD45RA-FoxP3low non-suppressive T cells. The proportion of the three subpopulations characteristically altered in cord blood, aged individuals, and patients with immunological diseases. Terminally differentiated aTregs rapidly die while rTregs proliferate and convert into aTregs in vitro and in vivo as shown by the transfer of rTregs into NOD-scid-common gamma-chain-knockout mice and by TCR sequence-based T cell clonotype tracing in peripheral blood of normal individuals. Taken together, the dissection of FoxP3+ cells into subsets enables one to analyze Treg differentiation dynamics and interactions in normal and disease states, and to control immune responses through manipulating particular FoxP3+ subpopulations."}
{"STANDARD_NAME":"GSE15659_CD45RA_NEG_CD4_TCELL_VS_ACTIVATED_TREG_UP","SYSTEMATIC_NAME":"M3555","ORGANISM":"Homo sapiens","PMID":"19464196","AUTHORS":"Miyara M,Yoshioka Y,Kitoh A,Shima T,Wing K,Niwa A,Parizot C,Taflin C,Heike T,Valeyre D,Mathian A,Nakahata T,Yamaguchi T,Nomura T,Ono M,Amoura Z,Gorochov G,Sakaguchi S.","GEOID":"GSE15659","EXACT_SOURCE":"GSE15659_1422_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of PTPRC- [GeneID=5788] CD4 [GeneID=920] T cells versus activated regulatory T cell (Treg).","DESCRIPTION_FULL":"Gene expression profiles of subsets of CD4+ T cells according to their expression of FoxP3 and CD45RA were compared. FoxP3 is a key transcription factor for the development and function of natural CD4+ regulatory T cells (Tregs). Here we show that human FoxP3+CD4+ T cells are composed of three phenotypically and functionally distinct subpopulations: CD45RA+FoxP3low resting Tregs (rTregs) and CD45RA-FoxP3high activated Tregs (aTregs), both of which are suppressive in vitro, and cytokine-secreting CD45RA-FoxP3low non-suppressive T cells. The proportion of the three subpopulations characteristically altered in cord blood, aged individuals, and patients with immunological diseases. Terminally differentiated aTregs rapidly die while rTregs proliferate and convert into aTregs in vitro and in vivo as shown by the transfer of rTregs into NOD-scid-common gamma-chain-knockout mice and by TCR sequence-based T cell clonotype tracing in peripheral blood of normal individuals. Taken together, the dissection of FoxP3+ cells into subsets enables one to analyze Treg differentiation dynamics and interactions in normal and disease states, and to control immune responses through manipulating particular FoxP3+ subpopulations."}
{"STANDARD_NAME":"GSE15659_CD45RA_NEG_CD4_TCELL_VS_ACTIVATED_TREG_DN","SYSTEMATIC_NAME":"M3557","ORGANISM":"Homo sapiens","PMID":"19464196","AUTHORS":"Miyara M,Yoshioka Y,Kitoh A,Shima T,Wing K,Niwa A,Parizot C,Taflin C,Heike T,Valeyre D,Mathian A,Nakahata T,Yamaguchi T,Nomura T,Ono M,Amoura Z,Gorochov G,Sakaguchi S.","GEOID":"GSE15659","EXACT_SOURCE":"GSE15659_1422_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of PTPRC- [GeneID=5788] CD4 [GeneID=920] T cells versus activated regulatory T cell (Treg).","DESCRIPTION_FULL":"Gene expression profiles of subsets of CD4+ T cells according to their expression of FoxP3 and CD45RA were compared. FoxP3 is a key transcription factor for the development and function of natural CD4+ regulatory T cells (Tregs). Here we show that human FoxP3+CD4+ T cells are composed of three phenotypically and functionally distinct subpopulations: CD45RA+FoxP3low resting Tregs (rTregs) and CD45RA-FoxP3high activated Tregs (aTregs), both of which are suppressive in vitro, and cytokine-secreting CD45RA-FoxP3low non-suppressive T cells. The proportion of the three subpopulations characteristically altered in cord blood, aged individuals, and patients with immunological diseases. Terminally differentiated aTregs rapidly die while rTregs proliferate and convert into aTregs in vitro and in vivo as shown by the transfer of rTregs into NOD-scid-common gamma-chain-knockout mice and by TCR sequence-based T cell clonotype tracing in peripheral blood of normal individuals. Taken together, the dissection of FoxP3+ cells into subsets enables one to analyze Treg differentiation dynamics and interactions in normal and disease states, and to control immune responses through manipulating particular FoxP3+ subpopulations."}
{"STANDARD_NAME":"GSE15659_RESTING_TREG_VS_NONSUPPRESSIVE_TCELL_UP","SYSTEMATIC_NAME":"M3558","ORGANISM":"Homo sapiens","PMID":"19464196","AUTHORS":"Miyara M,Yoshioka Y,Kitoh A,Shima T,Wing K,Niwa A,Parizot C,Taflin C,Heike T,Valeyre D,Mathian A,Nakahata T,Yamaguchi T,Nomura T,Ono M,Amoura Z,Gorochov G,Sakaguchi S.","GEOID":"GSE15659","EXACT_SOURCE":"GSE15659_1423_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of resting regulatory T cell (Treg) versus non-suppressive T cells.","DESCRIPTION_FULL":"Gene expression profiles of subsets of CD4+ T cells according to their expression of FoxP3 and CD45RA were compared. FoxP3 is a key transcription factor for the development and function of natural CD4+ regulatory T cells (Tregs). Here we show that human FoxP3+CD4+ T cells are composed of three phenotypically and functionally distinct subpopulations: CD45RA+FoxP3low resting Tregs (rTregs) and CD45RA-FoxP3high activated Tregs (aTregs), both of which are suppressive in vitro, and cytokine-secreting CD45RA-FoxP3low non-suppressive T cells. The proportion of the three subpopulations characteristically altered in cord blood, aged individuals, and patients with immunological diseases. Terminally differentiated aTregs rapidly die while rTregs proliferate and convert into aTregs in vitro and in vivo as shown by the transfer of rTregs into NOD-scid-common gamma-chain-knockout mice and by TCR sequence-based T cell clonotype tracing in peripheral blood of normal individuals. Taken together, the dissection of FoxP3+ cells into subsets enables one to analyze Treg differentiation dynamics and interactions in normal and disease states, and to control immune responses through manipulating particular FoxP3+ subpopulations."}
{"STANDARD_NAME":"GSE15659_RESTING_TREG_VS_NONSUPPRESSIVE_TCELL_DN","SYSTEMATIC_NAME":"M3560","ORGANISM":"Homo sapiens","PMID":"19464196","AUTHORS":"Miyara M,Yoshioka Y,Kitoh A,Shima T,Wing K,Niwa A,Parizot C,Taflin C,Heike T,Valeyre D,Mathian A,Nakahata T,Yamaguchi T,Nomura T,Ono M,Amoura Z,Gorochov G,Sakaguchi S.","GEOID":"GSE15659","EXACT_SOURCE":"GSE15659_1423_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of resting regulatory T cell (Treg) versus non-suppressive T cells.","DESCRIPTION_FULL":"Gene expression profiles of subsets of CD4+ T cells according to their expression of FoxP3 and CD45RA were compared. FoxP3 is a key transcription factor for the development and function of natural CD4+ regulatory T cells (Tregs). Here we show that human FoxP3+CD4+ T cells are composed of three phenotypically and functionally distinct subpopulations: CD45RA+FoxP3low resting Tregs (rTregs) and CD45RA-FoxP3high activated Tregs (aTregs), both of which are suppressive in vitro, and cytokine-secreting CD45RA-FoxP3low non-suppressive T cells. The proportion of the three subpopulations characteristically altered in cord blood, aged individuals, and patients with immunological diseases. Terminally differentiated aTregs rapidly die while rTregs proliferate and convert into aTregs in vitro and in vivo as shown by the transfer of rTregs into NOD-scid-common gamma-chain-knockout mice and by TCR sequence-based T cell clonotype tracing in peripheral blood of normal individuals. Taken together, the dissection of FoxP3+ cells into subsets enables one to analyze Treg differentiation dynamics and interactions in normal and disease states, and to control immune responses through manipulating particular FoxP3+ subpopulations."}
{"STANDARD_NAME":"GSE15659_RESTING_VS_ACTIVATED_TREG_UP","SYSTEMATIC_NAME":"M3561","ORGANISM":"Homo sapiens","PMID":"19464196","AUTHORS":"Miyara M,Yoshioka Y,Kitoh A,Shima T,Wing K,Niwa A,Parizot C,Taflin C,Heike T,Valeyre D,Mathian A,Nakahata T,Yamaguchi T,Nomura T,Ono M,Amoura Z,Gorochov G,Sakaguchi S.","GEOID":"GSE15659","EXACT_SOURCE":"GSE15659_1424_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of resting regulatory T cell (Treg) versus activated regulatory T cell (Treg).","DESCRIPTION_FULL":"Gene expression profiles of subsets of CD4+ T cells according to their expression of FoxP3 and CD45RA were compared. FoxP3 is a key transcription factor for the development and function of natural CD4+ regulatory T cells (Tregs). Here we show that human FoxP3+CD4+ T cells are composed of three phenotypically and functionally distinct subpopulations: CD45RA+FoxP3low resting Tregs (rTregs) and CD45RA-FoxP3high activated Tregs (aTregs), both of which are suppressive in vitro, and cytokine-secreting CD45RA-FoxP3low non-suppressive T cells. The proportion of the three subpopulations characteristically altered in cord blood, aged individuals, and patients with immunological diseases. Terminally differentiated aTregs rapidly die while rTregs proliferate and convert into aTregs in vitro and in vivo as shown by the transfer of rTregs into NOD-scid-common gamma-chain-knockout mice and by TCR sequence-based T cell clonotype tracing in peripheral blood of normal individuals. Taken together, the dissection of FoxP3+ cells into subsets enables one to analyze Treg differentiation dynamics and interactions in normal and disease states, and to control immune responses through manipulating particular FoxP3+ subpopulations."}
{"STANDARD_NAME":"GSE15659_RESTING_VS_ACTIVATED_TREG_DN","SYSTEMATIC_NAME":"M3563","ORGANISM":"Homo sapiens","PMID":"19464196","AUTHORS":"Miyara M,Yoshioka Y,Kitoh A,Shima T,Wing K,Niwa A,Parizot C,Taflin C,Heike T,Valeyre D,Mathian A,Nakahata T,Yamaguchi T,Nomura T,Ono M,Amoura Z,Gorochov G,Sakaguchi S.","GEOID":"GSE15659","EXACT_SOURCE":"GSE15659_1424_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of resting regulatory T cell (Treg) versus activated regulatory T cell (Treg).","DESCRIPTION_FULL":"Gene expression profiles of subsets of CD4+ T cells according to their expression of FoxP3 and CD45RA were compared. FoxP3 is a key transcription factor for the development and function of natural CD4+ regulatory T cells (Tregs). Here we show that human FoxP3+CD4+ T cells are composed of three phenotypically and functionally distinct subpopulations: CD45RA+FoxP3low resting Tregs (rTregs) and CD45RA-FoxP3high activated Tregs (aTregs), both of which are suppressive in vitro, and cytokine-secreting CD45RA-FoxP3low non-suppressive T cells. The proportion of the three subpopulations characteristically altered in cord blood, aged individuals, and patients with immunological diseases. Terminally differentiated aTregs rapidly die while rTregs proliferate and convert into aTregs in vitro and in vivo as shown by the transfer of rTregs into NOD-scid-common gamma-chain-knockout mice and by TCR sequence-based T cell clonotype tracing in peripheral blood of normal individuals. Taken together, the dissection of FoxP3+ cells into subsets enables one to analyze Treg differentiation dynamics and interactions in normal and disease states, and to control immune responses through manipulating particular FoxP3+ subpopulations."}
{"STANDARD_NAME":"GSE15659_NONSUPPRESSIVE_TCELL_VS_ACTIVATED_TREG_UP","SYSTEMATIC_NAME":"M3566","ORGANISM":"Homo sapiens","PMID":"19464196","AUTHORS":"Miyara M,Yoshioka Y,Kitoh A,Shima T,Wing K,Niwa A,Parizot C,Taflin C,Heike T,Valeyre D,Mathian A,Nakahata T,Yamaguchi T,Nomura T,Ono M,Amoura Z,Gorochov G,Sakaguchi S.","GEOID":"GSE15659","EXACT_SOURCE":"GSE15659_1425_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of non-suppressive T cells versus activated regulatory T cell (Treg).","DESCRIPTION_FULL":"Gene expression profiles of subsets of CD4+ T cells according to their expression of FoxP3 and CD45RA were compared. FoxP3 is a key transcription factor for the development and function of natural CD4+ regulatory T cells (Tregs). Here we show that human FoxP3+CD4+ T cells are composed of three phenotypically and functionally distinct subpopulations: CD45RA+FoxP3low resting Tregs (rTregs) and CD45RA-FoxP3high activated Tregs (aTregs), both of which are suppressive in vitro, and cytokine-secreting CD45RA-FoxP3low non-suppressive T cells. The proportion of the three subpopulations characteristically altered in cord blood, aged individuals, and patients with immunological diseases. Terminally differentiated aTregs rapidly die while rTregs proliferate and convert into aTregs in vitro and in vivo as shown by the transfer of rTregs into NOD-scid-common gamma-chain-knockout mice and by TCR sequence-based T cell clonotype tracing in peripheral blood of normal individuals. Taken together, the dissection of FoxP3+ cells into subsets enables one to analyze Treg differentiation dynamics and interactions in normal and disease states, and to control immune responses through manipulating particular FoxP3+ subpopulations."}
{"STANDARD_NAME":"GSE15659_NONSUPPRESSIVE_TCELL_VS_ACTIVATED_TREG_DN","SYSTEMATIC_NAME":"M3567","ORGANISM":"Homo sapiens","PMID":"19464196","AUTHORS":"Miyara M,Yoshioka Y,Kitoh A,Shima T,Wing K,Niwa A,Parizot C,Taflin C,Heike T,Valeyre D,Mathian A,Nakahata T,Yamaguchi T,Nomura T,Ono M,Amoura Z,Gorochov G,Sakaguchi S.","GEOID":"GSE15659","EXACT_SOURCE":"GSE15659_1425_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of non-suppressive T cells versus activated regulatory T cell (Treg).","DESCRIPTION_FULL":"Gene expression profiles of subsets of CD4+ T cells according to their expression of FoxP3 and CD45RA were compared. FoxP3 is a key transcription factor for the development and function of natural CD4+ regulatory T cells (Tregs). Here we show that human FoxP3+CD4+ T cells are composed of three phenotypically and functionally distinct subpopulations: CD45RA+FoxP3low resting Tregs (rTregs) and CD45RA-FoxP3high activated Tregs (aTregs), both of which are suppressive in vitro, and cytokine-secreting CD45RA-FoxP3low non-suppressive T cells. The proportion of the three subpopulations characteristically altered in cord blood, aged individuals, and patients with immunological diseases. Terminally differentiated aTregs rapidly die while rTregs proliferate and convert into aTregs in vitro and in vivo as shown by the transfer of rTregs into NOD-scid-common gamma-chain-knockout mice and by TCR sequence-based T cell clonotype tracing in peripheral blood of normal individuals. Taken together, the dissection of FoxP3+ cells into subsets enables one to analyze Treg differentiation dynamics and interactions in normal and disease states, and to control immune responses through manipulating particular FoxP3+ subpopulations."}
{"STANDARD_NAME":"GSE15733_BM_VS_SPLEEN_MEMORY_CD4_TCELL_UP","SYSTEMATIC_NAME":"M3568","ORGANISM":"Mus musculus","PMID":"19427242","AUTHORS":"Tokoyoda K,Zehentmeier S,Hegazy AN,Albrecht I,Grün JR,Löhning M,Radbruch A","GEOID":"GSE15733","EXACT_SOURCE":"GSE15733_1142_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD4 [GeneID=920] T cells from bone marrow versus those from spleen.","DESCRIPTION_FULL":"CD4+ T lymphocytes are key to immunological memory, but little is known about the lifestyle of memory CD4+ T lymphocytes. We showed that in the memory phase of specific immune responses to antigens, most of the memory CD4+ T lymphocytes relocated into the bone marrow (BM) within 3-8 weeks after their generation, a process involving integrin a2. Antigen-specific memory CD4+ T lymphocytes expressed Ly-6C to a high degree, unlike most splenic CD44hiCD62L- CD4+ T lymphocytes. In adult mice, more than 80% of Ly-6Chi CD44hiCD62L- memory CD4+ T lymphocytes were in the BM. In the BM, they are located next to IL-7-expressing VCAM-1+ stroma cells, and were in a resting state. Upon challenge with antigen, they rapidly expressed cytokines and CD154 and induced the production of high-affinity antibodies, indicating their functional activity in vivo and marking them as professional memory T helper cells"}
{"STANDARD_NAME":"GSE15733_BM_VS_SPLEEN_MEMORY_CD4_TCELL_DN","SYSTEMATIC_NAME":"M3569","ORGANISM":"Mus musculus","PMID":"19427242","AUTHORS":"Tokoyoda K,Zehentmeier S,Hegazy AN,Albrecht I,Grün JR,Löhning M,Radbruch A","GEOID":"GSE15733","EXACT_SOURCE":"GSE15733_1142_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD4 [GeneID=920] T cells from bone marrow versus those from spleen.","DESCRIPTION_FULL":"CD4+ T lymphocytes are key to immunological memory, but little is known about the lifestyle of memory CD4+ T lymphocytes. We showed that in the memory phase of specific immune responses to antigens, most of the memory CD4+ T lymphocytes relocated into the bone marrow (BM) within 3-8 weeks after their generation, a process involving integrin a2. Antigen-specific memory CD4+ T lymphocytes expressed Ly-6C to a high degree, unlike most splenic CD44hiCD62L- CD4+ T lymphocytes. In adult mice, more than 80% of Ly-6Chi CD44hiCD62L- memory CD4+ T lymphocytes were in the BM. In the BM, they are located next to IL-7-expressing VCAM-1+ stroma cells, and were in a resting state. Upon challenge with antigen, they rapidly expressed cytokines and CD154 and induced the production of high-affinity antibodies, indicating their functional activity in vivo and marking them as professional memory T helper cells"}
{"STANDARD_NAME":"GSE15750_WT_VS_TRAF6KO_DAY6_EFF_CD8_TCELL_UP","SYSTEMATIC_NAME":"M3570","ORGANISM":"Mus musculus","PMID":"19494812","AUTHORS":"Pearce EL,Walsh MC,Cejas PJ,Harms GM,Shen H,Wang LS,Jones RG,Choi Y.","GEOID":"GSE15750","EXACT_SOURCE":"GSE15750_1738_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of wild type CD8 effector T cells at day 6 versus those from mice defficient for TRAF6 [GeneID=7189] at day 6.","DESCRIPTION_FULL":"CD8 T cells play a crucial role in immunity to infection and cancer. They are maintained in constant numbers, but upon stimulation with antigen undergo a developmental program characterized by distinct phases encompassing the expansion and then contraction of antigen-specific populations, followed by the persistence of long-lived memory cells. Although this predictable pattern of a CD8 T cell response is well established, the underlying cellular mechanisms regulating the transition to memory remain undefined. Here we show that TRAF6, an adapter protein in the TNF-receptor (TNFR) and IL-1R/TLR superfamily, regulates CD8 T cell memory development following infection by modulating fatty acid metabolism. We show that mice with a T cell-specific deletion of TRAF6 mount robust primary CD8 T cell effector responses, but have a profound defect in their ability to generate memory. This defect is CD8 T cell intrinsic and is characterized by the disappearance of antigen-specific cells in the weeks following primary immunization. Microarray analyses revealed that TRAF6-deficient CD8 T cells from early timepoints following immunization exhibit altered expression of genes that regulate fatty acid metabolism. Consistent with this, activated CD8 T cells lacking TRAF6 are unable to upregulate mitochondrial β-oxidation in response to growth factor withdrawal in vitro. Treatment with drugs that induce fatty acid oxidation enabled CD8 T cell memory generation in the absence of TRAF6. Remarkably, these treatments also increased CD8 T cell memory in wild type mice, and consequently were able to significantly improve the efficacy of an experimental anti-cancer vaccine."}
{"STANDARD_NAME":"GSE15750_WT_VS_TRAF6KO_DAY6_EFF_CD8_TCELL_DN","SYSTEMATIC_NAME":"M3571","ORGANISM":"Mus musculus","PMID":"19494812","AUTHORS":"Pearce EL,Walsh MC,Cejas PJ,Harms GM,Shen H,Wang LS,Jones RG,Choi Y.","GEOID":"GSE15750","EXACT_SOURCE":"GSE15750_1738_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of wild type CD8 effector T cells at day 6 versus those from mice defficient for TRAF6 [GeneID=7189] at day 6.","DESCRIPTION_FULL":"CD8 T cells play a crucial role in immunity to infection and cancer. They are maintained in constant numbers, but upon stimulation with antigen undergo a developmental program characterized by distinct phases encompassing the expansion and then contraction of antigen-specific populations, followed by the persistence of long-lived memory cells. Although this predictable pattern of a CD8 T cell response is well established, the underlying cellular mechanisms regulating the transition to memory remain undefined. Here we show that TRAF6, an adapter protein in the TNF-receptor (TNFR) and IL-1R/TLR superfamily, regulates CD8 T cell memory development following infection by modulating fatty acid metabolism. We show that mice with a T cell-specific deletion of TRAF6 mount robust primary CD8 T cell effector responses, but have a profound defect in their ability to generate memory. This defect is CD8 T cell intrinsic and is characterized by the disappearance of antigen-specific cells in the weeks following primary immunization. Microarray analyses revealed that TRAF6-deficient CD8 T cells from early timepoints following immunization exhibit altered expression of genes that regulate fatty acid metabolism. Consistent with this, activated CD8 T cells lacking TRAF6 are unable to upregulate mitochondrial β-oxidation in response to growth factor withdrawal in vitro. Treatment with drugs that induce fatty acid oxidation enabled CD8 T cell memory generation in the absence of TRAF6. Remarkably, these treatments also increased CD8 T cell memory in wild type mice, and consequently were able to significantly improve the efficacy of an experimental anti-cancer vaccine."}
{"STANDARD_NAME":"GSE15750_WT_VS_TRAF6KO_DAY10_EFF_CD8_TCELL_UP","SYSTEMATIC_NAME":"M3573","ORGANISM":"Mus musculus","PMID":"19494812","AUTHORS":"Pearce EL,Walsh MC,Cejas PJ,Harms GM,Shen H,Wang LS,Jones RG,Choi Y.","GEOID":"GSE15750","EXACT_SOURCE":"GSE15750_1739_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of wild type CD8 effector T cells at day 10 versus those from mice defficient for TRAF6 [GeneID=7189] at day 10.","DESCRIPTION_FULL":"CD8 T cells play a crucial role in immunity to infection and cancer. They are maintained in constant numbers, but upon stimulation with antigen undergo a developmental program characterized by distinct phases encompassing the expansion and then contraction of antigen-specific populations, followed by the persistence of long-lived memory cells. Although this predictable pattern of a CD8 T cell response is well established, the underlying cellular mechanisms regulating the transition to memory remain undefined. Here we show that TRAF6, an adapter protein in the TNF-receptor (TNFR) and IL-1R/TLR superfamily, regulates CD8 T cell memory development following infection by modulating fatty acid metabolism. We show that mice with a T cell-specific deletion of TRAF6 mount robust primary CD8 T cell effector responses, but have a profound defect in their ability to generate memory. This defect is CD8 T cell intrinsic and is characterized by the disappearance of antigen-specific cells in the weeks following primary immunization. Microarray analyses revealed that TRAF6-deficient CD8 T cells from early timepoints following immunization exhibit altered expression of genes that regulate fatty acid metabolism. Consistent with this, activated CD8 T cells lacking TRAF6 are unable to upregulate mitochondrial β-oxidation in response to growth factor withdrawal in vitro. Treatment with drugs that induce fatty acid oxidation enabled CD8 T cell memory generation in the absence of TRAF6. Remarkably, these treatments also increased CD8 T cell memory in wild type mice, and consequently were able to significantly improve the efficacy of an experimental anti-cancer vaccine."}
{"STANDARD_NAME":"GSE15750_WT_VS_TRAF6KO_DAY10_EFF_CD8_TCELL_DN","SYSTEMATIC_NAME":"M3575","ORGANISM":"Mus musculus","PMID":"19494812","AUTHORS":"Pearce EL,Walsh MC,Cejas PJ,Harms GM,Shen H,Wang LS,Jones RG,Choi Y.","GEOID":"GSE15750","EXACT_SOURCE":"GSE15750_1739_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of wild type CD8 effector T cells at day 10 versus those from mice defficient for TRAF6 [GeneID=7189] at day 10.","DESCRIPTION_FULL":"CD8 T cells play a crucial role in immunity to infection and cancer. They are maintained in constant numbers, but upon stimulation with antigen undergo a developmental program characterized by distinct phases encompassing the expansion and then contraction of antigen-specific populations, followed by the persistence of long-lived memory cells. Although this predictable pattern of a CD8 T cell response is well established, the underlying cellular mechanisms regulating the transition to memory remain undefined. Here we show that TRAF6, an adapter protein in the TNF-receptor (TNFR) and IL-1R/TLR superfamily, regulates CD8 T cell memory development following infection by modulating fatty acid metabolism. We show that mice with a T cell-specific deletion of TRAF6 mount robust primary CD8 T cell effector responses, but have a profound defect in their ability to generate memory. This defect is CD8 T cell intrinsic and is characterized by the disappearance of antigen-specific cells in the weeks following primary immunization. Microarray analyses revealed that TRAF6-deficient CD8 T cells from early timepoints following immunization exhibit altered expression of genes that regulate fatty acid metabolism. Consistent with this, activated CD8 T cells lacking TRAF6 are unable to upregulate mitochondrial β-oxidation in response to growth factor withdrawal in vitro. Treatment with drugs that induce fatty acid oxidation enabled CD8 T cell memory generation in the absence of TRAF6. Remarkably, these treatments also increased CD8 T cell memory in wild type mice, and consequently were able to significantly improve the efficacy of an experimental anti-cancer vaccine."}
{"STANDARD_NAME":"GSE15750_DAY6_VS_DAY10_EFF_CD8_TCELL_UP","SYSTEMATIC_NAME":"M3577","ORGANISM":"Mus musculus","PMID":"19494812","AUTHORS":"Pearce EL,Walsh MC,Cejas PJ,Harms GM,Shen H,Wang LS,Jones RG,Choi Y.","GEOID":"GSE15750","EXACT_SOURCE":"GSE15750_1740_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of wild type CD8 effector T cells at day 6 versus those at day 10.","DESCRIPTION_FULL":"CD8 T cells play a crucial role in immunity to infection and cancer. They are maintained in constant numbers, but upon stimulation with antigen undergo a developmental program characterized by distinct phases encompassing the expansion and then contraction of antigen-specific populations, followed by the persistence of long-lived memory cells. Although this predictable pattern of a CD8 T cell response is well established, the underlying cellular mechanisms regulating the transition to memory remain undefined. Here we show that TRAF6, an adapter protein in the TNF-receptor (TNFR) and IL-1R/TLR superfamily, regulates CD8 T cell memory development following infection by modulating fatty acid metabolism. We show that mice with a T cell-specific deletion of TRAF6 mount robust primary CD8 T cell effector responses, but have a profound defect in their ability to generate memory. This defect is CD8 T cell intrinsic and is characterized by the disappearance of antigen-specific cells in the weeks following primary immunization. Microarray analyses revealed that TRAF6-deficient CD8 T cells from early timepoints following immunization exhibit altered expression of genes that regulate fatty acid metabolism. Consistent with this, activated CD8 T cells lacking TRAF6 are unable to upregulate mitochondrial β-oxidation in response to growth factor withdrawal in vitro. Treatment with drugs that induce fatty acid oxidation enabled CD8 T cell memory generation in the absence of TRAF6. Remarkably, these treatments also increased CD8 T cell memory in wild type mice, and consequently were able to significantly improve the efficacy of an experimental anti-cancer vaccine."}
{"STANDARD_NAME":"GSE15750_DAY6_VS_DAY10_EFF_CD8_TCELL_DN","SYSTEMATIC_NAME":"M3579","ORGANISM":"Mus musculus","PMID":"19494812","AUTHORS":"Pearce EL,Walsh MC,Cejas PJ,Harms GM,Shen H,Wang LS,Jones RG,Choi Y.","GEOID":"GSE15750","EXACT_SOURCE":"GSE15750_1740_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of wild type CD8 effector T cells at day 6 versus those at day 10.","DESCRIPTION_FULL":"CD8 T cells play a crucial role in immunity to infection and cancer. They are maintained in constant numbers, but upon stimulation with antigen undergo a developmental program characterized by distinct phases encompassing the expansion and then contraction of antigen-specific populations, followed by the persistence of long-lived memory cells. Although this predictable pattern of a CD8 T cell response is well established, the underlying cellular mechanisms regulating the transition to memory remain undefined. Here we show that TRAF6, an adapter protein in the TNF-receptor (TNFR) and IL-1R/TLR superfamily, regulates CD8 T cell memory development following infection by modulating fatty acid metabolism. We show that mice with a T cell-specific deletion of TRAF6 mount robust primary CD8 T cell effector responses, but have a profound defect in their ability to generate memory. This defect is CD8 T cell intrinsic and is characterized by the disappearance of antigen-specific cells in the weeks following primary immunization. Microarray analyses revealed that TRAF6-deficient CD8 T cells from early timepoints following immunization exhibit altered expression of genes that regulate fatty acid metabolism. Consistent with this, activated CD8 T cells lacking TRAF6 are unable to upregulate mitochondrial β-oxidation in response to growth factor withdrawal in vitro. Treatment with drugs that induce fatty acid oxidation enabled CD8 T cell memory generation in the absence of TRAF6. Remarkably, these treatments also increased CD8 T cell memory in wild type mice, and consequently were able to significantly improve the efficacy of an experimental anti-cancer vaccine."}
{"STANDARD_NAME":"GSE15750_DAY6_VS_DAY10_TRAF6KO_EFF_CD8_TCELL_UP","SYSTEMATIC_NAME":"M3580","ORGANISM":"Mus musculus","PMID":"19494812","AUTHORS":"Pearce EL,Walsh MC,Cejas PJ,Harms GM,Shen H,Wang LS,Jones RG,Choi Y.","GEOID":"GSE15750","EXACT_SOURCE":"GSE15750_1741_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of wild type CD8 effector T cells at day 6 versus those from mice defficient for TRAF6 [GeneID=7189] at day 10.","DESCRIPTION_FULL":"CD8 T cells play a crucial role in immunity to infection and cancer. They are maintained in constant numbers, but upon stimulation with antigen undergo a developmental program characterized by distinct phases encompassing the expansion and then contraction of antigen-specific populations, followed by the persistence of long-lived memory cells. Although this predictable pattern of a CD8 T cell response is well established, the underlying cellular mechanisms regulating the transition to memory remain undefined. Here we show that TRAF6, an adapter protein in the TNF-receptor (TNFR) and IL-1R/TLR superfamily, regulates CD8 T cell memory development following infection by modulating fatty acid metabolism. We show that mice with a T cell-specific deletion of TRAF6 mount robust primary CD8 T cell effector responses, but have a profound defect in their ability to generate memory. This defect is CD8 T cell intrinsic and is characterized by the disappearance of antigen-specific cells in the weeks following primary immunization. Microarray analyses revealed that TRAF6-deficient CD8 T cells from early timepoints following immunization exhibit altered expression of genes that regulate fatty acid metabolism. Consistent with this, activated CD8 T cells lacking TRAF6 are unable to upregulate mitochondrial β-oxidation in response to growth factor withdrawal in vitro. Treatment with drugs that induce fatty acid oxidation enabled CD8 T cell memory generation in the absence of TRAF6. Remarkably, these treatments also increased CD8 T cell memory in wild type mice, and consequently were able to significantly improve the efficacy of an experimental anti-cancer vaccine."}
{"STANDARD_NAME":"GSE15750_DAY6_VS_DAY10_TRAF6KO_EFF_CD8_TCELL_DN","SYSTEMATIC_NAME":"M3583","ORGANISM":"Mus musculus","PMID":"19494812","AUTHORS":"Pearce EL,Walsh MC,Cejas PJ,Harms GM,Shen H,Wang LS,Jones RG,Choi Y.","GEOID":"GSE15750","EXACT_SOURCE":"GSE15750_1741_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of wild type CD8 effector T cells at day 6 versus those from mice defficient for TRAF6 [GeneID=7189] at day 10.","DESCRIPTION_FULL":"CD8 T cells play a crucial role in immunity to infection and cancer. They are maintained in constant numbers, but upon stimulation with antigen undergo a developmental program characterized by distinct phases encompassing the expansion and then contraction of antigen-specific populations, followed by the persistence of long-lived memory cells. Although this predictable pattern of a CD8 T cell response is well established, the underlying cellular mechanisms regulating the transition to memory remain undefined. Here we show that TRAF6, an adapter protein in the TNF-receptor (TNFR) and IL-1R/TLR superfamily, regulates CD8 T cell memory development following infection by modulating fatty acid metabolism. We show that mice with a T cell-specific deletion of TRAF6 mount robust primary CD8 T cell effector responses, but have a profound defect in their ability to generate memory. This defect is CD8 T cell intrinsic and is characterized by the disappearance of antigen-specific cells in the weeks following primary immunization. Microarray analyses revealed that TRAF6-deficient CD8 T cells from early timepoints following immunization exhibit altered expression of genes that regulate fatty acid metabolism. Consistent with this, activated CD8 T cells lacking TRAF6 are unable to upregulate mitochondrial β-oxidation in response to growth factor withdrawal in vitro. Treatment with drugs that induce fatty acid oxidation enabled CD8 T cell memory generation in the absence of TRAF6. Remarkably, these treatments also increased CD8 T cell memory in wild type mice, and consequently were able to significantly improve the efficacy of an experimental anti-cancer vaccine."}
{"STANDARD_NAME":"GSE15767_MED_VS_SCS_MAC_LN_UP","SYSTEMATIC_NAME":"M3584","ORGANISM":"Mus musculus","PMID":"19503106","AUTHORS":"Phan TG,Green JA,Gray EE,Xu Y,Cyster JG.","GEOID":"GSE15767","EXACT_SOURCE":"GSE15767_1760_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of medullary macrophages versus subcapsular sinus (SCS) macrophages.","DESCRIPTION_FULL":"LN resident macrophages lining the lymphatic sinuses play critical roles in antigen capture and presentation as well as degradation. We used microarray to examine global gene expression profiles to compare SCS and med macrophages to determine the underlying molecular basis of their differential handling of antigens."}
{"STANDARD_NAME":"GSE15767_MED_VS_SCS_MAC_LN_DN","SYSTEMATIC_NAME":"M3585","ORGANISM":"Mus musculus","PMID":"19503106","AUTHORS":"Phan TG,Green JA,Gray EE,Xu Y,Cyster JG.","GEOID":"GSE15767","EXACT_SOURCE":"GSE15767_1760_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of medullary macrophages versus subcapsular sinus (SCS) macrophages.","DESCRIPTION_FULL":"LN resident macrophages lining the lymphatic sinuses play critical roles in antigen capture and presentation as well as degradation. We used microarray to examine global gene expression profiles to compare SCS and med macrophages to determine the underlying molecular basis of their differential handling of antigens."}
{"STANDARD_NAME":"GSE15930_NAIVE_VS_24H_IN_VITRO_STIM_CD8_TCELL_UP","SYSTEMATIC_NAME":"M3587","ORGANISM":"Mus musculus","PMID":"19592655","AUTHORS":"Agarwal P,Raghavan A,Nandiwada SL,Curtsinger JM,Bohjanen PR,Mueller DL,Mescher MF.","GEOID":"GSE15930","EXACT_SOURCE":"GSE15930_1346_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD8 T cells at 0 h versus those at 24 h.","DESCRIPTION_FULL":"Differentiation of naive CD8 T cells into cytotoxic effector cells requires three distinct signals- antigen (signal 1), costimulation -B7-1 (signal 2) and cytokine, either interleukin-12 or interferon-a/b (signal 3). Interaction of naive CD8 T cells with antigen and B7-1 programs cell division and proliferation whereas the presence of cytokines- IL-12 or IFNa/b promote survival, differentiation and memory establishment. In the absence of signal 3, the cells interacting with antigen/B7-1 undergo tolerance induction. The objective of this study was to elucidate the mechanisms how the provision of signal 3 promotes differentiation and averts tolerance induction in CD8 T cells. Trichostatin A is a pharmacological agent that inhibits histone deacetylase activity, hence regulating chromatin structure and gene expression and differentiation in many cell types. Gene signature profiles of IL-12, IFNa/b and trichostatin A stimulated cells were compared to elucidate the molecular mechanisms of gene regulation. Oligonucleotide microarray analysis is carried out to determine the extent and molecular nature of the CD8 T cell differentiation program induced by IL-12 or IFNa/b in concert with antigen and B7-1 signal."}
{"STANDARD_NAME":"GSE15930_NAIVE_VS_24H_IN_VITRO_STIM_CD8_TCELL_DN","SYSTEMATIC_NAME":"M3588","ORGANISM":"Mus musculus","PMID":"19592655","AUTHORS":"Agarwal P,Raghavan A,Nandiwada SL,Curtsinger JM,Bohjanen PR,Mueller DL,Mescher MF.","GEOID":"GSE15930","EXACT_SOURCE":"GSE15930_1346_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD8 T cells at 0 h versus those at 24 h.","DESCRIPTION_FULL":"Differentiation of naive CD8 T cells into cytotoxic effector cells requires three distinct signals- antigen (signal 1), costimulation -B7-1 (signal 2) and cytokine, either interleukin-12 or interferon-a/b (signal 3). Interaction of naive CD8 T cells with antigen and B7-1 programs cell division and proliferation whereas the presence of cytokines- IL-12 or IFNa/b promote survival, differentiation and memory establishment. In the absence of signal 3, the cells interacting with antigen/B7-1 undergo tolerance induction. The objective of this study was to elucidate the mechanisms how the provision of signal 3 promotes differentiation and averts tolerance induction in CD8 T cells. Trichostatin A is a pharmacological agent that inhibits histone deacetylase activity, hence regulating chromatin structure and gene expression and differentiation in many cell types. Gene signature profiles of IL-12, IFNa/b and trichostatin A stimulated cells were compared to elucidate the molecular mechanisms of gene regulation. Oligonucleotide microarray analysis is carried out to determine the extent and molecular nature of the CD8 T cell differentiation program induced by IL-12 or IFNa/b in concert with antigen and B7-1 signal."}
{"STANDARD_NAME":"GSE15930_NAIVE_VS_24H_IN_VITRO_STIM_IL12_CD8_TCELL_UP","SYSTEMATIC_NAME":"M3589","ORGANISM":"Mus musculus","PMID":"19592655","AUTHORS":"Agarwal P,Raghavan A,Nandiwada SL,Curtsinger JM,Bohjanen PR,Mueller DL,Mescher MF.","GEOID":"GSE15930","EXACT_SOURCE":"GSE15930_1347_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD8 T cells at 0 h versus those at 24 h after stimulation with IL12 .","DESCRIPTION_FULL":"Differentiation of naive CD8 T cells into cytotoxic effector cells requires three distinct signals- antigen (signal 1), costimulation -B7-1 (signal 2) and cytokine, either interleukin-12 or interferon-a/b (signal 3). Interaction of naive CD8 T cells with antigen and B7-1 programs cell division and proliferation whereas the presence of cytokines- IL-12 or IFNa/b promote survival, differentiation and memory establishment. In the absence of signal 3, the cells interacting with antigen/B7-1 undergo tolerance induction. The objective of this study was to elucidate the mechanisms how the provision of signal 3 promotes differentiation and averts tolerance induction in CD8 T cells. Trichostatin A is a pharmacological agent that inhibits histone deacetylase activity, hence regulating chromatin structure and gene expression and differentiation in many cell types. Gene signature profiles of IL-12, IFNa/b and trichostatin A stimulated cells were compared to elucidate the molecular mechanisms of gene regulation. Oligonucleotide microarray analysis is carried out to determine the extent and molecular nature of the CD8 T cell differentiation program induced by IL-12 or IFNa/b in concert with antigen and B7-1 signal."}
{"STANDARD_NAME":"GSE15930_NAIVE_VS_24H_IN_VITRO_STIM_IL12_CD8_TCELL_DN","SYSTEMATIC_NAME":"M3591","ORGANISM":"Mus musculus","PMID":"19592655","AUTHORS":"Agarwal P,Raghavan A,Nandiwada SL,Curtsinger JM,Bohjanen PR,Mueller DL,Mescher MF.","GEOID":"GSE15930","EXACT_SOURCE":"GSE15930_1347_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD8 T cells at 0 h versus those at 24 h after stimulation with IL12 .","DESCRIPTION_FULL":"Differentiation of naive CD8 T cells into cytotoxic effector cells requires three distinct signals- antigen (signal 1), costimulation -B7-1 (signal 2) and cytokine, either interleukin-12 or interferon-a/b (signal 3). Interaction of naive CD8 T cells with antigen and B7-1 programs cell division and proliferation whereas the presence of cytokines- IL-12 or IFNa/b promote survival, differentiation and memory establishment. In the absence of signal 3, the cells interacting with antigen/B7-1 undergo tolerance induction. The objective of this study was to elucidate the mechanisms how the provision of signal 3 promotes differentiation and averts tolerance induction in CD8 T cells. Trichostatin A is a pharmacological agent that inhibits histone deacetylase activity, hence regulating chromatin structure and gene expression and differentiation in many cell types. Gene signature profiles of IL-12, IFNa/b and trichostatin A stimulated cells were compared to elucidate the molecular mechanisms of gene regulation. Oligonucleotide microarray analysis is carried out to determine the extent and molecular nature of the CD8 T cell differentiation program induced by IL-12 or IFNa/b in concert with antigen and B7-1 signal."}
{"STANDARD_NAME":"GSE15930_NAIVE_VS_24H_IN_VITRO_STIM_INFAB_CD8_TCELL_UP","SYSTEMATIC_NAME":"M3593","ORGANISM":"Mus musculus","PMID":"19592655","AUTHORS":"Agarwal P,Raghavan A,Nandiwada SL,Curtsinger JM,Bohjanen PR,Mueller DL,Mescher MF.","GEOID":"GSE15930","EXACT_SOURCE":"GSE15930_1348_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD8 T cells at 0 h versus those at 24 h after stimulation with antigen-B7-1.","DESCRIPTION_FULL":"Differentiation of naive CD8 T cells into cytotoxic effector cells requires three distinct signals- antigen (signal 1), costimulation -B7-1 (signal 2) and cytokine, either interleukin-12 or interferon-a/b (signal 3). Interaction of naive CD8 T cells with antigen and B7-1 programs cell division and proliferation whereas the presence of cytokines- IL-12 or IFNa/b promote survival, differentiation and memory establishment. In the absence of signal 3, the cells interacting with antigen/B7-1 undergo tolerance induction. The objective of this study was to elucidate the mechanisms how the provision of signal 3 promotes differentiation and averts tolerance induction in CD8 T cells. Trichostatin A is a pharmacological agent that inhibits histone deacetylase activity, hence regulating chromatin structure and gene expression and differentiation in many cell types. Gene signature profiles of IL-12, IFNa/b and trichostatin A stimulated cells were compared to elucidate the molecular mechanisms of gene regulation. Oligonucleotide microarray analysis is carried out to determine the extent and molecular nature of the CD8 T cell differentiation program induced by IL-12 or IFNa/b in concert with antigen and B7-1 signal."}
{"STANDARD_NAME":"GSE15930_NAIVE_VS_24H_IN_VITRO_STIM_INFAB_CD8_TCELL_DN","SYSTEMATIC_NAME":"M3594","ORGANISM":"Mus musculus","PMID":"19592655","AUTHORS":"Agarwal P,Raghavan A,Nandiwada SL,Curtsinger JM,Bohjanen PR,Mueller DL,Mescher MF.","GEOID":"GSE15930","EXACT_SOURCE":"GSE15930_1348_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD8 T cells at 0 h versus those at 24 h after stimulation with antigen-B7-1.","DESCRIPTION_FULL":"Differentiation of naive CD8 T cells into cytotoxic effector cells requires three distinct signals- antigen (signal 1), costimulation -B7-1 (signal 2) and cytokine, either interleukin-12 or interferon-a/b (signal 3). Interaction of naive CD8 T cells with antigen and B7-1 programs cell division and proliferation whereas the presence of cytokines- IL-12 or IFNa/b promote survival, differentiation and memory establishment. In the absence of signal 3, the cells interacting with antigen/B7-1 undergo tolerance induction. The objective of this study was to elucidate the mechanisms how the provision of signal 3 promotes differentiation and averts tolerance induction in CD8 T cells. Trichostatin A is a pharmacological agent that inhibits histone deacetylase activity, hence regulating chromatin structure and gene expression and differentiation in many cell types. Gene signature profiles of IL-12, IFNa/b and trichostatin A stimulated cells were compared to elucidate the molecular mechanisms of gene regulation. Oligonucleotide microarray analysis is carried out to determine the extent and molecular nature of the CD8 T cell differentiation program induced by IL-12 or IFNa/b in concert with antigen and B7-1 signal."}
{"STANDARD_NAME":"GSE15930_NAIVE_VS_48H_IN_VITRO_STIM_CD8_TCELL_UP","SYSTEMATIC_NAME":"M3596","ORGANISM":"Mus musculus","PMID":"19592655","AUTHORS":"Agarwal P,Raghavan A,Nandiwada SL,Curtsinger JM,Bohjanen PR,Mueller DL,Mescher MF.","GEOID":"GSE15930","EXACT_SOURCE":"GSE15930_1349_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD8 T cells at 0 h versus those at 48 h.","DESCRIPTION_FULL":"Differentiation of naive CD8 T cells into cytotoxic effector cells requires three distinct signals- antigen (signal 1), costimulation -B7-1 (signal 2) and cytokine, either interleukin-12 or interferon-a/b (signal 3). Interaction of naive CD8 T cells with antigen and B7-1 programs cell division and proliferation whereas the presence of cytokines- IL-12 or IFNa/b promote survival, differentiation and memory establishment. In the absence of signal 3, the cells interacting with antigen/B7-1 undergo tolerance induction. The objective of this study was to elucidate the mechanisms how the provision of signal 3 promotes differentiation and averts tolerance induction in CD8 T cells. Trichostatin A is a pharmacological agent that inhibits histone deacetylase activity, hence regulating chromatin structure and gene expression and differentiation in many cell types. Gene signature profiles of IL-12, IFNa/b and trichostatin A stimulated cells were compared to elucidate the molecular mechanisms of gene regulation. Oligonucleotide microarray analysis is carried out to determine the extent and molecular nature of the CD8 T cell differentiation program induced by IL-12 or IFNa/b in concert with antigen and B7-1 signal."}
{"STANDARD_NAME":"GSE15930_NAIVE_VS_48H_IN_VITRO_STIM_CD8_TCELL_DN","SYSTEMATIC_NAME":"M3597","ORGANISM":"Mus musculus","PMID":"19592655","AUTHORS":"Agarwal P,Raghavan A,Nandiwada SL,Curtsinger JM,Bohjanen PR,Mueller DL,Mescher MF.","GEOID":"GSE15930","EXACT_SOURCE":"GSE15930_1349_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD8 T cells at 0 h versus those at 48 h.","DESCRIPTION_FULL":"Differentiation of naive CD8 T cells into cytotoxic effector cells requires three distinct signals- antigen (signal 1), costimulation -B7-1 (signal 2) and cytokine, either interleukin-12 or interferon-a/b (signal 3). Interaction of naive CD8 T cells with antigen and B7-1 programs cell division and proliferation whereas the presence of cytokines- IL-12 or IFNa/b promote survival, differentiation and memory establishment. In the absence of signal 3, the cells interacting with antigen/B7-1 undergo tolerance induction. The objective of this study was to elucidate the mechanisms how the provision of signal 3 promotes differentiation and averts tolerance induction in CD8 T cells. Trichostatin A is a pharmacological agent that inhibits histone deacetylase activity, hence regulating chromatin structure and gene expression and differentiation in many cell types. Gene signature profiles of IL-12, IFNa/b and trichostatin A stimulated cells were compared to elucidate the molecular mechanisms of gene regulation. Oligonucleotide microarray analysis is carried out to determine the extent and molecular nature of the CD8 T cell differentiation program induced by IL-12 or IFNa/b in concert with antigen and B7-1 signal."}
{"STANDARD_NAME":"GSE15930_NAIVE_VS_48H_IN_VITRO_STIM_IL12_CD8_TCELL_UP","SYSTEMATIC_NAME":"M3599","ORGANISM":"Mus musculus","PMID":"19592655","AUTHORS":"Agarwal P,Raghavan A,Nandiwada SL,Curtsinger JM,Bohjanen PR,Mueller DL,Mescher MF.","GEOID":"GSE15930","EXACT_SOURCE":"GSE15930_1350_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD8 T cells at 0 h versus those at 48 h after stimulation with IL12.","DESCRIPTION_FULL":"Differentiation of naive CD8 T cells into cytotoxic effector cells requires three distinct signals- antigen (signal 1), costimulation -B7-1 (signal 2) and cytokine, either interleukin-12 or interferon-a/b (signal 3). Interaction of naive CD8 T cells with antigen and B7-1 programs cell division and proliferation whereas the presence of cytokines- IL-12 or IFNa/b promote survival, differentiation and memory establishment. In the absence of signal 3, the cells interacting with antigen/B7-1 undergo tolerance induction. The objective of this study was to elucidate the mechanisms how the provision of signal 3 promotes differentiation and averts tolerance induction in CD8 T cells. Trichostatin A is a pharmacological agent that inhibits histone deacetylase activity, hence regulating chromatin structure and gene expression and differentiation in many cell types. Gene signature profiles of IL-12, IFNa/b and trichostatin A stimulated cells were compared to elucidate the molecular mechanisms of gene regulation. Oligonucleotide microarray analysis is carried out to determine the extent and molecular nature of the CD8 T cell differentiation program induced by IL-12 or IFNa/b in concert with antigen and B7-1 signal."}
{"STANDARD_NAME":"GSE15930_NAIVE_VS_48H_IN_VITRO_STIM_IL12_CD8_TCELL_DN","SYSTEMATIC_NAME":"M3600","ORGANISM":"Mus musculus","PMID":"19592655","AUTHORS":"Agarwal P,Raghavan A,Nandiwada SL,Curtsinger JM,Bohjanen PR,Mueller DL,Mescher MF.","GEOID":"GSE15930","EXACT_SOURCE":"GSE15930_1350_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD8 T cells at 0 h versus those at 48 h after stimulation with IL12.","DESCRIPTION_FULL":"Differentiation of naive CD8 T cells into cytotoxic effector cells requires three distinct signals- antigen (signal 1), costimulation -B7-1 (signal 2) and cytokine, either interleukin-12 or interferon-a/b (signal 3). Interaction of naive CD8 T cells with antigen and B7-1 programs cell division and proliferation whereas the presence of cytokines- IL-12 or IFNa/b promote survival, differentiation and memory establishment. In the absence of signal 3, the cells interacting with antigen/B7-1 undergo tolerance induction. The objective of this study was to elucidate the mechanisms how the provision of signal 3 promotes differentiation and averts tolerance induction in CD8 T cells. Trichostatin A is a pharmacological agent that inhibits histone deacetylase activity, hence regulating chromatin structure and gene expression and differentiation in many cell types. Gene signature profiles of IL-12, IFNa/b and trichostatin A stimulated cells were compared to elucidate the molecular mechanisms of gene regulation. Oligonucleotide microarray analysis is carried out to determine the extent and molecular nature of the CD8 T cell differentiation program induced by IL-12 or IFNa/b in concert with antigen and B7-1 signal."}
{"STANDARD_NAME":"GSE15930_NAIVE_VS_48H_IN_VITRO_STIM_IFNAB_CD8_TCELL_UP","SYSTEMATIC_NAME":"M3601","ORGANISM":"Mus musculus","PMID":"19592655","AUTHORS":"Agarwal P,Raghavan A,Nandiwada SL,Curtsinger JM,Bohjanen PR,Mueller DL,Mescher MF.","GEOID":"GSE15930","EXACT_SOURCE":"GSE15930_1351_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD8 T cells at 0 h versus those at 48 h after stimulation with antigen-B7-1.","DESCRIPTION_FULL":"Differentiation of naive CD8 T cells into cytotoxic effector cells requires three distinct signals- antigen (signal 1), costimulation -B7-1 (signal 2) and cytokine, either interleukin-12 or interferon-a/b (signal 3). Interaction of naive CD8 T cells with antigen and B7-1 programs cell division and proliferation whereas the presence of cytokines- IL-12 or IFNa/b promote survival, differentiation and memory establishment. In the absence of signal 3, the cells interacting with antigen/B7-1 undergo tolerance induction. The objective of this study was to elucidate the mechanisms how the provision of signal 3 promotes differentiation and averts tolerance induction in CD8 T cells. Trichostatin A is a pharmacological agent that inhibits histone deacetylase activity, hence regulating chromatin structure and gene expression and differentiation in many cell types. Gene signature profiles of IL-12, IFNa/b and trichostatin A stimulated cells were compared to elucidate the molecular mechanisms of gene regulation. Oligonucleotide microarray analysis is carried out to determine the extent and molecular nature of the CD8 T cell differentiation program induced by IL-12 or IFNa/b in concert with antigen and B7-1 signal."}
{"STANDARD_NAME":"GSE15930_NAIVE_VS_48H_IN_VITRO_STIM_IFNAB_CD8_TCELL_DN","SYSTEMATIC_NAME":"M3604","ORGANISM":"Mus musculus","PMID":"19592655","AUTHORS":"Agarwal P,Raghavan A,Nandiwada SL,Curtsinger JM,Bohjanen PR,Mueller DL,Mescher MF.","GEOID":"GSE15930","EXACT_SOURCE":"GSE15930_1352_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD8 T cells at 0 h versus those at 48 h after stimulation with antigen-B7-1.","DESCRIPTION_FULL":"Differentiation of naive CD8 T cells into cytotoxic effector cells requires three distinct signals- antigen (signal 1), costimulation -B7-1 (signal 2) and cytokine, either interleukin-12 or interferon-a/b (signal 3). Interaction of naive CD8 T cells with antigen and B7-1 programs cell division and proliferation whereas the presence of cytokines- IL-12 or IFNa/b promote survival, differentiation and memory establishment. In the absence of signal 3, the cells interacting with antigen/B7-1 undergo tolerance induction. The objective of this study was to elucidate the mechanisms how the provision of signal 3 promotes differentiation and averts tolerance induction in CD8 T cells. Trichostatin A is a pharmacological agent that inhibits histone deacetylase activity, hence regulating chromatin structure and gene expression and differentiation in many cell types. Gene signature profiles of IL-12, IFNa/b and trichostatin A stimulated cells were compared to elucidate the molecular mechanisms of gene regulation. Oligonucleotide microarray analysis is carried out to determine the extent and molecular nature of the CD8 T cell differentiation program induced by IL-12 or IFNa/b in concert with antigen and B7-1 signal."}
{"STANDARD_NAME":"GSE15930_NAIVE_VS_72H_IN_VITRO_STIM_CD8_TCELL_UP","SYSTEMATIC_NAME":"M3605","ORGANISM":"Mus musculus","PMID":"19592655","AUTHORS":"Agarwal P,Raghavan A,Nandiwada SL,Curtsinger JM,Bohjanen PR,Mueller DL,Mescher MF.","GEOID":"GSE15930","EXACT_SOURCE":"GSE15930_1353_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD8 T cells at 0 h versus those at 72 h.","DESCRIPTION_FULL":"Differentiation of naive CD8 T cells into cytotoxic effector cells requires three distinct signals- antigen (signal 1), costimulation -B7-1 (signal 2) and cytokine, either interleukin-12 or interferon-a/b (signal 3). Interaction of naive CD8 T cells with antigen and B7-1 programs cell division and proliferation whereas the presence of cytokines- IL-12 or IFNa/b promote survival, differentiation and memory establishment. In the absence of signal 3, the cells interacting with antigen/B7-1 undergo tolerance induction. The objective of this study was to elucidate the mechanisms how the provision of signal 3 promotes differentiation and averts tolerance induction in CD8 T cells. Trichostatin A is a pharmacological agent that inhibits histone deacetylase activity, hence regulating chromatin structure and gene expression and differentiation in many cell types. Gene signature profiles of IL-12, IFNa/b and trichostatin A stimulated cells were compared to elucidate the molecular mechanisms of gene regulation. Oligonucleotide microarray analysis is carried out to determine the extent and molecular nature of the CD8 T cell differentiation program induced by IL-12 or IFNa/b in concert with antigen and B7-1 signal."}
{"STANDARD_NAME":"GSE15930_NAIVE_VS_72H_IN_VITRO_STIM_CD8_TCELL_DN","SYSTEMATIC_NAME":"M3607","ORGANISM":"Mus musculus","PMID":"19592655","AUTHORS":"Agarwal P,Raghavan A,Nandiwada SL,Curtsinger JM,Bohjanen PR,Mueller DL,Mescher MF.","GEOID":"GSE15930","EXACT_SOURCE":"GSE15930_1353_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD8 T cells at 0 h versus those at 72 h.","DESCRIPTION_FULL":"Differentiation of naive CD8 T cells into cytotoxic effector cells requires three distinct signals- antigen (signal 1), costimulation -B7-1 (signal 2) and cytokine, either interleukin-12 or interferon-a/b (signal 3). Interaction of naive CD8 T cells with antigen and B7-1 programs cell division and proliferation whereas the presence of cytokines- IL-12 or IFNa/b promote survival, differentiation and memory establishment. In the absence of signal 3, the cells interacting with antigen/B7-1 undergo tolerance induction. The objective of this study was to elucidate the mechanisms how the provision of signal 3 promotes differentiation and averts tolerance induction in CD8 T cells. Trichostatin A is a pharmacological agent that inhibits histone deacetylase activity, hence regulating chromatin structure and gene expression and differentiation in many cell types. Gene signature profiles of IL-12, IFNa/b and trichostatin A stimulated cells were compared to elucidate the molecular mechanisms of gene regulation. Oligonucleotide microarray analysis is carried out to determine the extent and molecular nature of the CD8 T cell differentiation program induced by IL-12 or IFNa/b in concert with antigen and B7-1 signal."}
{"STANDARD_NAME":"GSE15930_NAIVE_VS_72H_IN_VITRO_STIM_IL12_CD8_TCELL_UP","SYSTEMATIC_NAME":"M3608","ORGANISM":"Mus musculus","PMID":"19592655","AUTHORS":"Agarwal P,Raghavan A,Nandiwada SL,Curtsinger JM,Bohjanen PR,Mueller DL,Mescher MF.","GEOID":"GSE15930","EXACT_SOURCE":"GSE15930_1354_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD8 T cells at 0 h versus those at 72 h after stimulation with IL12.","DESCRIPTION_FULL":"Differentiation of naive CD8 T cells into cytotoxic effector cells requires three distinct signals- antigen (signal 1), costimulation -B7-1 (signal 2) and cytokine, either interleukin-12 or interferon-a/b (signal 3). Interaction of naive CD8 T cells with antigen and B7-1 programs cell division and proliferation whereas the presence of cytokines- IL-12 or IFNa/b promote survival, differentiation and memory establishment. In the absence of signal 3, the cells interacting with antigen/B7-1 undergo tolerance induction. The objective of this study was to elucidate the mechanisms how the provision of signal 3 promotes differentiation and averts tolerance induction in CD8 T cells. Trichostatin A is a pharmacological agent that inhibits histone deacetylase activity, hence regulating chromatin structure and gene expression and differentiation in many cell types. Gene signature profiles of IL-12, IFNa/b and trichostatin A stimulated cells were compared to elucidate the molecular mechanisms of gene regulation. Oligonucleotide microarray analysis is carried out to determine the extent and molecular nature of the CD8 T cell differentiation program induced by IL-12 or IFNa/b in concert with antigen and B7-1 signal."}
{"STANDARD_NAME":"GSE15930_NAIVE_VS_72H_IN_VITRO_STIM_IL12_CD8_TCELL_DN","SYSTEMATIC_NAME":"M3610","ORGANISM":"Mus musculus","PMID":"19592655","AUTHORS":"Agarwal P,Raghavan A,Nandiwada SL,Curtsinger JM,Bohjanen PR,Mueller DL,Mescher MF.","GEOID":"GSE15930","EXACT_SOURCE":"GSE15930_1354_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD8 T cells at 0 h versus those at 72 h after stimulation with IL12.","DESCRIPTION_FULL":"Differentiation of naive CD8 T cells into cytotoxic effector cells requires three distinct signals- antigen (signal 1), costimulation -B7-1 (signal 2) and cytokine, either interleukin-12 or interferon-a/b (signal 3). Interaction of naive CD8 T cells with antigen and B7-1 programs cell division and proliferation whereas the presence of cytokines- IL-12 or IFNa/b promote survival, differentiation and memory establishment. In the absence of signal 3, the cells interacting with antigen/B7-1 undergo tolerance induction. The objective of this study was to elucidate the mechanisms how the provision of signal 3 promotes differentiation and averts tolerance induction in CD8 T cells. Trichostatin A is a pharmacological agent that inhibits histone deacetylase activity, hence regulating chromatin structure and gene expression and differentiation in many cell types. Gene signature profiles of IL-12, IFNa/b and trichostatin A stimulated cells were compared to elucidate the molecular mechanisms of gene regulation. Oligonucleotide microarray analysis is carried out to determine the extent and molecular nature of the CD8 T cell differentiation program induced by IL-12 or IFNa/b in concert with antigen and B7-1 signal."}
{"STANDARD_NAME":"GSE15930_NAIVE_VS_72H_IN_VITRO_STIM_IFNAB_CD8_TCELL_UP","SYSTEMATIC_NAME":"M3612","ORGANISM":"Mus musculus","PMID":"19592655","AUTHORS":"Agarwal P,Raghavan A,Nandiwada SL,Curtsinger JM,Bohjanen PR,Mueller DL,Mescher MF.","GEOID":"GSE15930","EXACT_SOURCE":"GSE15930_1355_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD8 T cells at 0 h versus those at 72 h after stimulation with antigen-B7-1.","DESCRIPTION_FULL":"Differentiation of naive CD8 T cells into cytotoxic effector cells requires three distinct signals- antigen (signal 1), costimulation -B7-1 (signal 2) and cytokine, either interleukin-12 or interferon-a/b (signal 3). Interaction of naive CD8 T cells with antigen and B7-1 programs cell division and proliferation whereas the presence of cytokines- IL-12 or IFNa/b promote survival, differentiation and memory establishment. In the absence of signal 3, the cells interacting with antigen/B7-1 undergo tolerance induction. The objective of this study was to elucidate the mechanisms how the provision of signal 3 promotes differentiation and averts tolerance induction in CD8 T cells. Trichostatin A is a pharmacological agent that inhibits histone deacetylase activity, hence regulating chromatin structure and gene expression and differentiation in many cell types. Gene signature profiles of IL-12, IFNa/b and trichostatin A stimulated cells were compared to elucidate the molecular mechanisms of gene regulation. Oligonucleotide microarray analysis is carried out to determine the extent and molecular nature of the CD8 T cell differentiation program induced by IL-12 or IFNa/b in concert with antigen and B7-1 signal."}
{"STANDARD_NAME":"GSE15930_NAIVE_VS_72H_IN_VITRO_STIM_IFNAB_CD8_TCELL_DN","SYSTEMATIC_NAME":"M3613","ORGANISM":"Mus musculus","PMID":"19592655","AUTHORS":"Agarwal P,Raghavan A,Nandiwada SL,Curtsinger JM,Bohjanen PR,Mueller DL,Mescher MF.","GEOID":"GSE15930","EXACT_SOURCE":"GSE15930_1355_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD8 T cells at 0 h versus those at 72 h after stimulation with antigen-B7-1.","DESCRIPTION_FULL":"Differentiation of naive CD8 T cells into cytotoxic effector cells requires three distinct signals- antigen (signal 1), costimulation -B7-1 (signal 2) and cytokine, either interleukin-12 or interferon-a/b (signal 3). Interaction of naive CD8 T cells with antigen and B7-1 programs cell division and proliferation whereas the presence of cytokines- IL-12 or IFNa/b promote survival, differentiation and memory establishment. In the absence of signal 3, the cells interacting with antigen/B7-1 undergo tolerance induction. The objective of this study was to elucidate the mechanisms how the provision of signal 3 promotes differentiation and averts tolerance induction in CD8 T cells. Trichostatin A is a pharmacological agent that inhibits histone deacetylase activity, hence regulating chromatin structure and gene expression and differentiation in many cell types. Gene signature profiles of IL-12, IFNa/b and trichostatin A stimulated cells were compared to elucidate the molecular mechanisms of gene regulation. Oligonucleotide microarray analysis is carried out to determine the extent and molecular nature of the CD8 T cell differentiation program induced by IL-12 or IFNa/b in concert with antigen and B7-1 signal."}
{"STANDARD_NAME":"GSE15930_NAIVE_VS_72H_IN_VITRO_STIM_TRICHOSTATINA_CD8_TCELL_UP","SYSTEMATIC_NAME":"M3614","ORGANISM":"Mus musculus","PMID":"19592655","AUTHORS":"Agarwal P,Raghavan A,Nandiwada SL,Curtsinger JM,Bohjanen PR,Mueller DL,Mescher MF.","GEOID":"GSE15930","EXACT_SOURCE":"GSE15930_1356_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD8 T cells at 0 h versus those at 72 h after treatment with trichostatin A (TSA) [PubChem=5562].","DESCRIPTION_FULL":"Differentiation of naive CD8 T cells into cytotoxic effector cells requires three distinct signals- antigen (signal 1), costimulation -B7-1 (signal 2) and cytokine, either interleukin-12 or interferon-a/b (signal 3). Interaction of naive CD8 T cells with antigen and B7-1 programs cell division and proliferation whereas the presence of cytokines- IL-12 or IFNa/b promote survival, differentiation and memory establishment. In the absence of signal 3, the cells interacting with antigen/B7-1 undergo tolerance induction. The objective of this study was to elucidate the mechanisms how the provision of signal 3 promotes differentiation and averts tolerance induction in CD8 T cells. Trichostatin A is a pharmacological agent that inhibits histone deacetylase activity, hence regulating chromatin structure and gene expression and differentiation in many cell types. Gene signature profiles of IL-12, IFNa/b and trichostatin A stimulated cells were compared to elucidate the molecular mechanisms of gene regulation. Oligonucleotide microarray analysis is carried out to determine the extent and molecular nature of the CD8 T cell differentiation program induced by IL-12 or IFNa/b in concert with antigen and B7-1 signal."}
{"STANDARD_NAME":"GSE15930_NAIVE_VS_72H_IN_VITRO_STIM_TRICHOSTATINA_CD8_TCELL_DN","SYSTEMATIC_NAME":"M3619","ORGANISM":"Mus musculus","PMID":"19592655","AUTHORS":"Agarwal P,Raghavan A,Nandiwada SL,Curtsinger JM,Bohjanen PR,Mueller DL,Mescher MF.","GEOID":"GSE15930","EXACT_SOURCE":"GSE15930_1356_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD8 T cells at 0 h versus those at 72 h after treatment with trichostatin A (TSA) [PubChem=5562].","DESCRIPTION_FULL":"Differentiation of naive CD8 T cells into cytotoxic effector cells requires three distinct signals- antigen (signal 1), costimulation -B7-1 (signal 2) and cytokine, either interleukin-12 or interferon-a/b (signal 3). Interaction of naive CD8 T cells with antigen and B7-1 programs cell division and proliferation whereas the presence of cytokines- IL-12 or IFNa/b promote survival, differentiation and memory establishment. In the absence of signal 3, the cells interacting with antigen/B7-1 undergo tolerance induction. The objective of this study was to elucidate the mechanisms how the provision of signal 3 promotes differentiation and averts tolerance induction in CD8 T cells. Trichostatin A is a pharmacological agent that inhibits histone deacetylase activity, hence regulating chromatin structure and gene expression and differentiation in many cell types. Gene signature profiles of IL-12, IFNa/b and trichostatin A stimulated cells were compared to elucidate the molecular mechanisms of gene regulation. Oligonucleotide microarray analysis is carried out to determine the extent and molecular nature of the CD8 T cell differentiation program induced by IL-12 or IFNa/b in concert with antigen and B7-1 signal."}
{"STANDARD_NAME":"GSE15930_STIM_VS_STIM_AND_IL12_24H_CD8_T_CELL_UP","SYSTEMATIC_NAME":"M3620","ORGANISM":"Mus musculus","PMID":"19592655","AUTHORS":"Agarwal P,Raghavan A,Nandiwada SL,Curtsinger JM,Bohjanen PR,Mueller DL,Mescher MF.","GEOID":"GSE15930","EXACT_SOURCE":"GSE15930_1357_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of unstimulated CD8 T cells at 24 h versus CD8 T cells at 24 h after stimulation with IL12.","DESCRIPTION_FULL":"Differentiation of naive CD8 T cells into cytotoxic effector cells requires three distinct signals- antigen (signal 1), costimulation -B7-1 (signal 2) and cytokine, either interleukin-12 or interferon-a/b (signal 3). Interaction of naive CD8 T cells with antigen and B7-1 programs cell division and proliferation whereas the presence of cytokines- IL-12 or IFNa/b promote survival, differentiation and memory establishment. In the absence of signal 3, the cells interacting with antigen/B7-1 undergo tolerance induction. The objective of this study was to elucidate the mechanisms how the provision of signal 3 promotes differentiation and averts tolerance induction in CD8 T cells. Trichostatin A is a pharmacological agent that inhibits histone deacetylase activity, hence regulating chromatin structure and gene expression and differentiation in many cell types. Gene signature profiles of IL-12, IFNa/b and trichostatin A stimulated cells were compared to elucidate the molecular mechanisms of gene regulation. Oligonucleotide microarray analysis is carried out to determine the extent and molecular nature of the CD8 T cell differentiation program induced by IL-12 or IFNa/b in concert with antigen and B7-1 signal."}
{"STANDARD_NAME":"GSE15930_STIM_VS_STIM_AND_IL12_24H_CD8_T_CELL_DN","SYSTEMATIC_NAME":"M3622","ORGANISM":"Mus musculus","PMID":"19592655","AUTHORS":"Agarwal P,Raghavan A,Nandiwada SL,Curtsinger JM,Bohjanen PR,Mueller DL,Mescher MF.","GEOID":"GSE15930","EXACT_SOURCE":"GSE15930_1357_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of unstimulated CD8 T cells at 24 h versus CD8 T cells at 24 h after stimulation with IL12.","DESCRIPTION_FULL":"Differentiation of naive CD8 T cells into cytotoxic effector cells requires three distinct signals- antigen (signal 1), costimulation -B7-1 (signal 2) and cytokine, either interleukin-12 or interferon-a/b (signal 3). Interaction of naive CD8 T cells with antigen and B7-1 programs cell division and proliferation whereas the presence of cytokines- IL-12 or IFNa/b promote survival, differentiation and memory establishment. In the absence of signal 3, the cells interacting with antigen/B7-1 undergo tolerance induction. The objective of this study was to elucidate the mechanisms how the provision of signal 3 promotes differentiation and averts tolerance induction in CD8 T cells. Trichostatin A is a pharmacological agent that inhibits histone deacetylase activity, hence regulating chromatin structure and gene expression and differentiation in many cell types. Gene signature profiles of IL-12, IFNa/b and trichostatin A stimulated cells were compared to elucidate the molecular mechanisms of gene regulation. Oligonucleotide microarray analysis is carried out to determine the extent and molecular nature of the CD8 T cell differentiation program induced by IL-12 or IFNa/b in concert with antigen and B7-1 signal."}
{"STANDARD_NAME":"GSE15930_STIM_VS_STIM_AND_IFNAB_24H_CD8_T_CELL_UP","SYSTEMATIC_NAME":"M3623","ORGANISM":"Mus musculus","PMID":"19592655","AUTHORS":"Agarwal P,Raghavan A,Nandiwada SL,Curtsinger JM,Bohjanen PR,Mueller DL,Mescher MF.","GEOID":"GSE15930","EXACT_SOURCE":"GSE15930_1358_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of unstimulated CD8 T cells at 24 h versus CD8 T cells at 24 h after stimulation with antigen-B7-1.","DESCRIPTION_FULL":"Differentiation of naive CD8 T cells into cytotoxic effector cells requires three distinct signals- antigen (signal 1), costimulation -B7-1 (signal 2) and cytokine, either interleukin-12 or interferon-a/b (signal 3). Interaction of naive CD8 T cells with antigen and B7-1 programs cell division and proliferation whereas the presence of cytokines- IL-12 or IFNa/b promote survival, differentiation and memory establishment. In the absence of signal 3, the cells interacting with antigen/B7-1 undergo tolerance induction. The objective of this study was to elucidate the mechanisms how the provision of signal 3 promotes differentiation and averts tolerance induction in CD8 T cells. Trichostatin A is a pharmacological agent that inhibits histone deacetylase activity, hence regulating chromatin structure and gene expression and differentiation in many cell types. Gene signature profiles of IL-12, IFNa/b and trichostatin A stimulated cells were compared to elucidate the molecular mechanisms of gene regulation. Oligonucleotide microarray analysis is carried out to determine the extent and molecular nature of the CD8 T cell differentiation program induced by IL-12 or IFNa/b in concert with antigen and B7-1 signal."}
{"STANDARD_NAME":"GSE15930_STIM_VS_STIM_AND_IFNAB_24H_CD8_T_CELL_DN","SYSTEMATIC_NAME":"M3626","ORGANISM":"Mus musculus","PMID":"19592655","AUTHORS":"Agarwal P,Raghavan A,Nandiwada SL,Curtsinger JM,Bohjanen PR,Mueller DL,Mescher MF.","GEOID":"GSE15930","EXACT_SOURCE":"GSE15930_1358_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of unstimulated CD8 T cells at 24 h versus CD8 T cells at 24 h after stimulation with antigen-B7-1.","DESCRIPTION_FULL":"Differentiation of naive CD8 T cells into cytotoxic effector cells requires three distinct signals- antigen (signal 1), costimulation -B7-1 (signal 2) and cytokine, either interleukin-12 or interferon-a/b (signal 3). Interaction of naive CD8 T cells with antigen and B7-1 programs cell division and proliferation whereas the presence of cytokines- IL-12 or IFNa/b promote survival, differentiation and memory establishment. In the absence of signal 3, the cells interacting with antigen/B7-1 undergo tolerance induction. The objective of this study was to elucidate the mechanisms how the provision of signal 3 promotes differentiation and averts tolerance induction in CD8 T cells. Trichostatin A is a pharmacological agent that inhibits histone deacetylase activity, hence regulating chromatin structure and gene expression and differentiation in many cell types. Gene signature profiles of IL-12, IFNa/b and trichostatin A stimulated cells were compared to elucidate the molecular mechanisms of gene regulation. Oligonucleotide microarray analysis is carried out to determine the extent and molecular nature of the CD8 T cell differentiation program induced by IL-12 or IFNa/b in concert with antigen and B7-1 signal."}
{"STANDARD_NAME":"GSE15930_STIM_VS_STIM_AND_TRICHOSTATINA_24H_CD8_T_CELL_UP","SYSTEMATIC_NAME":"M3627","ORGANISM":"Mus musculus","PMID":"19592655","AUTHORS":"Agarwal P,Raghavan A,Nandiwada SL,Curtsinger JM,Bohjanen PR,Mueller DL,Mescher MF.","GEOID":"GSE15930","EXACT_SOURCE":"GSE15930_1359_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of unstimulated CD8 T cells at 24 h versus CD8 T cells at 24 h after treatment with trichostatin A (TSA) [PubChem=5562].","DESCRIPTION_FULL":"Differentiation of naive CD8 T cells into cytotoxic effector cells requires three distinct signals- antigen (signal 1), costimulation -B7-1 (signal 2) and cytokine, either interleukin-12 or interferon-a/b (signal 3). Interaction of naive CD8 T cells with antigen and B7-1 programs cell division and proliferation whereas the presence of cytokines- IL-12 or IFNa/b promote survival, differentiation and memory establishment. In the absence of signal 3, the cells interacting with antigen/B7-1 undergo tolerance induction. The objective of this study was to elucidate the mechanisms how the provision of signal 3 promotes differentiation and averts tolerance induction in CD8 T cells. Trichostatin A is a pharmacological agent that inhibits histone deacetylase activity, hence regulating chromatin structure and gene expression and differentiation in many cell types. Gene signature profiles of IL-12, IFNa/b and trichostatin A stimulated cells were compared to elucidate the molecular mechanisms of gene regulation. Oligonucleotide microarray analysis is carried out to determine the extent and molecular nature of the CD8 T cell differentiation program induced by IL-12 or IFNa/b in concert with antigen and B7-1 signal."}
{"STANDARD_NAME":"GSE15930_STIM_VS_STIM_AND_TRICHOSTATINA_24H_CD8_T_CELL_DN","SYSTEMATIC_NAME":"M3628","ORGANISM":"Mus musculus","PMID":"19592655","AUTHORS":"Agarwal P,Raghavan A,Nandiwada SL,Curtsinger JM,Bohjanen PR,Mueller DL,Mescher MF.","GEOID":"GSE15930","EXACT_SOURCE":"GSE15930_1359_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of unstimulated CD8 T cells at 24 h versus CD8 T cells at 24 h after treatment with trichostatin A (TSA) [PubChem=5562].","DESCRIPTION_FULL":"Differentiation of naive CD8 T cells into cytotoxic effector cells requires three distinct signals- antigen (signal 1), costimulation -B7-1 (signal 2) and cytokine, either interleukin-12 or interferon-a/b (signal 3). Interaction of naive CD8 T cells with antigen and B7-1 programs cell division and proliferation whereas the presence of cytokines- IL-12 or IFNa/b promote survival, differentiation and memory establishment. In the absence of signal 3, the cells interacting with antigen/B7-1 undergo tolerance induction. The objective of this study was to elucidate the mechanisms how the provision of signal 3 promotes differentiation and averts tolerance induction in CD8 T cells. Trichostatin A is a pharmacological agent that inhibits histone deacetylase activity, hence regulating chromatin structure and gene expression and differentiation in many cell types. Gene signature profiles of IL-12, IFNa/b and trichostatin A stimulated cells were compared to elucidate the molecular mechanisms of gene regulation. Oligonucleotide microarray analysis is carried out to determine the extent and molecular nature of the CD8 T cell differentiation program induced by IL-12 or IFNa/b in concert with antigen and B7-1 signal."}
{"STANDARD_NAME":"GSE15930_STIM_VS_STIM_AND_IL12_48H_CD8_T_CELL_UP","SYSTEMATIC_NAME":"M3629","ORGANISM":"Mus musculus","PMID":"19592655","AUTHORS":"Agarwal P,Raghavan A,Nandiwada SL,Curtsinger JM,Bohjanen PR,Mueller DL,Mescher MF.","GEOID":"GSE15930","EXACT_SOURCE":"GSE15930_1360_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of unstimulated CD8 T cells at 48 h versus CD8 T cells at 48 h after stimulation with IL12.","DESCRIPTION_FULL":"Differentiation of naive CD8 T cells into cytotoxic effector cells requires three distinct signals- antigen (signal 1), costimulation -B7-1 (signal 2) and cytokine, either interleukin-12 or interferon-a/b (signal 3). Interaction of naive CD8 T cells with antigen and B7-1 programs cell division and proliferation whereas the presence of cytokines- IL-12 or IFNa/b promote survival, differentiation and memory establishment. In the absence of signal 3, the cells interacting with antigen/B7-1 undergo tolerance induction. The objective of this study was to elucidate the mechanisms how the provision of signal 3 promotes differentiation and averts tolerance induction in CD8 T cells. Trichostatin A is a pharmacological agent that inhibits histone deacetylase activity, hence regulating chromatin structure and gene expression and differentiation in many cell types. Gene signature profiles of IL-12, IFNa/b and trichostatin A stimulated cells were compared to elucidate the molecular mechanisms of gene regulation. Oligonucleotide microarray analysis is carried out to determine the extent and molecular nature of the CD8 T cell differentiation program induced by IL-12 or IFNa/b in concert with antigen and B7-1 signal."}
{"STANDARD_NAME":"GSE15930_STIM_VS_STIM_AND_IL12_48H_CD8_T_CELL_DN","SYSTEMATIC_NAME":"M3631","ORGANISM":"Mus musculus","PMID":"19592655","AUTHORS":"Agarwal P,Raghavan A,Nandiwada SL,Curtsinger JM,Bohjanen PR,Mueller DL,Mescher MF.","GEOID":"GSE15930","EXACT_SOURCE":"GSE15930_1360_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of unstimulated CD8 T cells at 48 h versus CD8 T cells at 48 h after stimulation with IL12.","DESCRIPTION_FULL":"Differentiation of naive CD8 T cells into cytotoxic effector cells requires three distinct signals- antigen (signal 1), costimulation -B7-1 (signal 2) and cytokine, either interleukin-12 or interferon-a/b (signal 3). Interaction of naive CD8 T cells with antigen and B7-1 programs cell division and proliferation whereas the presence of cytokines- IL-12 or IFNa/b promote survival, differentiation and memory establishment. In the absence of signal 3, the cells interacting with antigen/B7-1 undergo tolerance induction. The objective of this study was to elucidate the mechanisms how the provision of signal 3 promotes differentiation and averts tolerance induction in CD8 T cells. Trichostatin A is a pharmacological agent that inhibits histone deacetylase activity, hence regulating chromatin structure and gene expression and differentiation in many cell types. Gene signature profiles of IL-12, IFNa/b and trichostatin A stimulated cells were compared to elucidate the molecular mechanisms of gene regulation. Oligonucleotide microarray analysis is carried out to determine the extent and molecular nature of the CD8 T cell differentiation program induced by IL-12 or IFNa/b in concert with antigen and B7-1 signal."}
{"STANDARD_NAME":"GSE15930_STIM_VS_STIM_AND_IFNAB_48H_CD8_T_CELL_UP","SYSTEMATIC_NAME":"M3633","ORGANISM":"Mus musculus","PMID":"19592655","AUTHORS":"Agarwal P,Raghavan A,Nandiwada SL,Curtsinger JM,Bohjanen PR,Mueller DL,Mescher MF.","GEOID":"GSE15930","EXACT_SOURCE":"GSE15930_1361_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of unstimulated CD8 T cells at 48 h versus CD8 T cells at 48 h after stimulation with antigen-B7-1.","DESCRIPTION_FULL":"Differentiation of naive CD8 T cells into cytotoxic effector cells requires three distinct signals- antigen (signal 1), costimulation -B7-1 (signal 2) and cytokine, either interleukin-12 or interferon-a/b (signal 3). Interaction of naive CD8 T cells with antigen and B7-1 programs cell division and proliferation whereas the presence of cytokines- IL-12 or IFNa/b promote survival, differentiation and memory establishment. In the absence of signal 3, the cells interacting with antigen/B7-1 undergo tolerance induction. The objective of this study was to elucidate the mechanisms how the provision of signal 3 promotes differentiation and averts tolerance induction in CD8 T cells. Trichostatin A is a pharmacological agent that inhibits histone deacetylase activity, hence regulating chromatin structure and gene expression and differentiation in many cell types. Gene signature profiles of IL-12, IFNa/b and trichostatin A stimulated cells were compared to elucidate the molecular mechanisms of gene regulation. Oligonucleotide microarray analysis is carried out to determine the extent and molecular nature of the CD8 T cell differentiation program induced by IL-12 or IFNa/b in concert with antigen and B7-1 signal."}
{"STANDARD_NAME":"GSE15930_STIM_VS_STIM_AND_IFNAB_48H_CD8_T_CELL_DN","SYSTEMATIC_NAME":"M3635","ORGANISM":"Mus musculus","PMID":"19592655","AUTHORS":"Agarwal P,Raghavan A,Nandiwada SL,Curtsinger JM,Bohjanen PR,Mueller DL,Mescher MF.","GEOID":"GSE15930","EXACT_SOURCE":"GSE15930_1361_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of unstimulated CD8 T cells at 48 h versus CD8 T cells at 48 h after stimulation with antigen-B7-1.","DESCRIPTION_FULL":"Differentiation of naive CD8 T cells into cytotoxic effector cells requires three distinct signals- antigen (signal 1), costimulation -B7-1 (signal 2) and cytokine, either interleukin-12 or interferon-a/b (signal 3). Interaction of naive CD8 T cells with antigen and B7-1 programs cell division and proliferation whereas the presence of cytokines- IL-12 or IFNa/b promote survival, differentiation and memory establishment. In the absence of signal 3, the cells interacting with antigen/B7-1 undergo tolerance induction. The objective of this study was to elucidate the mechanisms how the provision of signal 3 promotes differentiation and averts tolerance induction in CD8 T cells. Trichostatin A is a pharmacological agent that inhibits histone deacetylase activity, hence regulating chromatin structure and gene expression and differentiation in many cell types. Gene signature profiles of IL-12, IFNa/b and trichostatin A stimulated cells were compared to elucidate the molecular mechanisms of gene regulation. Oligonucleotide microarray analysis is carried out to determine the extent and molecular nature of the CD8 T cell differentiation program induced by IL-12 or IFNa/b in concert with antigen and B7-1 signal."}
{"STANDARD_NAME":"GSE15930_STIM_VS_STIM_AND_TRICHOSTATINA_48H_CD8_T_CELL_UP","SYSTEMATIC_NAME":"M3636","ORGANISM":"Mus musculus","PMID":"19592655","AUTHORS":"Agarwal P,Raghavan A,Nandiwada SL,Curtsinger JM,Bohjanen PR,Mueller DL,Mescher MF.","GEOID":"GSE15930","EXACT_SOURCE":"GSE15930_1362_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of unstimulated CD8 T cells at 48 h versus CD8 T cells at 48 h after treatment with trichostatin A (TSA) [PubChem=5562].","DESCRIPTION_FULL":"Differentiation of naive CD8 T cells into cytotoxic effector cells requires three distinct signals- antigen (signal 1), costimulation -B7-1 (signal 2) and cytokine, either interleukin-12 or interferon-a/b (signal 3). Interaction of naive CD8 T cells with antigen and B7-1 programs cell division and proliferation whereas the presence of cytokines- IL-12 or IFNa/b promote survival, differentiation and memory establishment. In the absence of signal 3, the cells interacting with antigen/B7-1 undergo tolerance induction. The objective of this study was to elucidate the mechanisms how the provision of signal 3 promotes differentiation and averts tolerance induction in CD8 T cells. Trichostatin A is a pharmacological agent that inhibits histone deacetylase activity, hence regulating chromatin structure and gene expression and differentiation in many cell types. Gene signature profiles of IL-12, IFNa/b and trichostatin A stimulated cells were compared to elucidate the molecular mechanisms of gene regulation. Oligonucleotide microarray analysis is carried out to determine the extent and molecular nature of the CD8 T cell differentiation program induced by IL-12 or IFNa/b in concert with antigen and B7-1 signal."}
{"STANDARD_NAME":"GSE15930_STIM_VS_STIM_AND_TRICHOSTATINA_48H_CD8_T_CELL_DN","SYSTEMATIC_NAME":"M3638","ORGANISM":"Mus musculus","PMID":"19592655","AUTHORS":"Agarwal P,Raghavan A,Nandiwada SL,Curtsinger JM,Bohjanen PR,Mueller DL,Mescher MF.","GEOID":"GSE15930","EXACT_SOURCE":"GSE15930_1362_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of unstimulated CD8 T cells at 48 h versus CD8 T cells at 48 h after treatment with trichostatin A (TSA) [PubChem=5562].","DESCRIPTION_FULL":"Differentiation of naive CD8 T cells into cytotoxic effector cells requires three distinct signals- antigen (signal 1), costimulation -B7-1 (signal 2) and cytokine, either interleukin-12 or interferon-a/b (signal 3). Interaction of naive CD8 T cells with antigen and B7-1 programs cell division and proliferation whereas the presence of cytokines- IL-12 or IFNa/b promote survival, differentiation and memory establishment. In the absence of signal 3, the cells interacting with antigen/B7-1 undergo tolerance induction. The objective of this study was to elucidate the mechanisms how the provision of signal 3 promotes differentiation and averts tolerance induction in CD8 T cells. Trichostatin A is a pharmacological agent that inhibits histone deacetylase activity, hence regulating chromatin structure and gene expression and differentiation in many cell types. Gene signature profiles of IL-12, IFNa/b and trichostatin A stimulated cells were compared to elucidate the molecular mechanisms of gene regulation. Oligonucleotide microarray analysis is carried out to determine the extent and molecular nature of the CD8 T cell differentiation program induced by IL-12 or IFNa/b in concert with antigen and B7-1 signal."}
{"STANDARD_NAME":"GSE15930_STIM_VS_STIM_AND_IL12_72H_CD8_T_CELL_UP","SYSTEMATIC_NAME":"M3639","ORGANISM":"Mus musculus","PMID":"19592655","AUTHORS":"Agarwal P,Raghavan A,Nandiwada SL,Curtsinger JM,Bohjanen PR,Mueller DL,Mescher MF.","GEOID":"GSE15930","EXACT_SOURCE":"GSE15930_1363_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of unstimulated CD8 T cells at 72 h versus CD8 T cells at 72 h after stimulation with IL12.","DESCRIPTION_FULL":"Differentiation of naive CD8 T cells into cytotoxic effector cells requires three distinct signals- antigen (signal 1), costimulation -B7-1 (signal 2) and cytokine, either interleukin-12 or interferon-a/b (signal 3). Interaction of naive CD8 T cells with antigen and B7-1 programs cell division and proliferation whereas the presence of cytokines- IL-12 or IFNa/b promote survival, differentiation and memory establishment. In the absence of signal 3, the cells interacting with antigen/B7-1 undergo tolerance induction. The objective of this study was to elucidate the mechanisms how the provision of signal 3 promotes differentiation and averts tolerance induction in CD8 T cells. Trichostatin A is a pharmacological agent that inhibits histone deacetylase activity, hence regulating chromatin structure and gene expression and differentiation in many cell types. Gene signature profiles of IL-12, IFNa/b and trichostatin A stimulated cells were compared to elucidate the molecular mechanisms of gene regulation. Oligonucleotide microarray analysis is carried out to determine the extent and molecular nature of the CD8 T cell differentiation program induced by IL-12 or IFNa/b in concert with antigen and B7-1 signal."}
{"STANDARD_NAME":"GSE15930_STIM_VS_STIM_AND_IL12_72H_CD8_T_CELL_DN","SYSTEMATIC_NAME":"M3640","ORGANISM":"Mus musculus","PMID":"19592655","AUTHORS":"Agarwal P,Raghavan A,Nandiwada SL,Curtsinger JM,Bohjanen PR,Mueller DL,Mescher MF.","GEOID":"GSE15930","EXACT_SOURCE":"GSE15930_1363_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of unstimulated CD8 T cells at 72 h versus CD8 T cells at 72 h after stimulation with IL12.","DESCRIPTION_FULL":"Differentiation of naive CD8 T cells into cytotoxic effector cells requires three distinct signals- antigen (signal 1), costimulation -B7-1 (signal 2) and cytokine, either interleukin-12 or interferon-a/b (signal 3). Interaction of naive CD8 T cells with antigen and B7-1 programs cell division and proliferation whereas the presence of cytokines- IL-12 or IFNa/b promote survival, differentiation and memory establishment. In the absence of signal 3, the cells interacting with antigen/B7-1 undergo tolerance induction. The objective of this study was to elucidate the mechanisms how the provision of signal 3 promotes differentiation and averts tolerance induction in CD8 T cells. Trichostatin A is a pharmacological agent that inhibits histone deacetylase activity, hence regulating chromatin structure and gene expression and differentiation in many cell types. Gene signature profiles of IL-12, IFNa/b and trichostatin A stimulated cells were compared to elucidate the molecular mechanisms of gene regulation. Oligonucleotide microarray analysis is carried out to determine the extent and molecular nature of the CD8 T cell differentiation program induced by IL-12 or IFNa/b in concert with antigen and B7-1 signal."}
{"STANDARD_NAME":"GSE15930_STIM_VS_STIM_AND_IFNAB_72H_CD8_T_CELL_UP","SYSTEMATIC_NAME":"M3641","ORGANISM":"Mus musculus","PMID":"19592655","AUTHORS":"Agarwal P,Raghavan A,Nandiwada SL,Curtsinger JM,Bohjanen PR,Mueller DL,Mescher MF.","GEOID":"GSE15930","EXACT_SOURCE":"GSE15930_1364_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of unstimulated CD8 T cells at 72 h versus CD8 T cells at 72 h after stimulation with antigen-B7-1.","DESCRIPTION_FULL":"Differentiation of naive CD8 T cells into cytotoxic effector cells requires three distinct signals- antigen (signal 1), costimulation -B7-1 (signal 2) and cytokine, either interleukin-12 or interferon-a/b (signal 3). Interaction of naive CD8 T cells with antigen and B7-1 programs cell division and proliferation whereas the presence of cytokines- IL-12 or IFNa/b promote survival, differentiation and memory establishment. In the absence of signal 3, the cells interacting with antigen/B7-1 undergo tolerance induction. The objective of this study was to elucidate the mechanisms how the provision of signal 3 promotes differentiation and averts tolerance induction in CD8 T cells. Trichostatin A is a pharmacological agent that inhibits histone deacetylase activity, hence regulating chromatin structure and gene expression and differentiation in many cell types. Gene signature profiles of IL-12, IFNa/b and trichostatin A stimulated cells were compared to elucidate the molecular mechanisms of gene regulation. Oligonucleotide microarray analysis is carried out to determine the extent and molecular nature of the CD8 T cell differentiation program induced by IL-12 or IFNa/b in concert with antigen and B7-1 signal."}
{"STANDARD_NAME":"GSE15930_STIM_VS_STIM_AND_IFNAB_72H_CD8_T_CELL_DN","SYSTEMATIC_NAME":"M3646","ORGANISM":"Mus musculus","PMID":"19592655","AUTHORS":"Agarwal P,Raghavan A,Nandiwada SL,Curtsinger JM,Bohjanen PR,Mueller DL,Mescher MF.","GEOID":"GSE15930","EXACT_SOURCE":"GSE15930_1364_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of unstimulated CD8 T cells at 72 h versus CD8 T cells at 72 h after stimulation with antigen-B7-1.","DESCRIPTION_FULL":"Differentiation of naive CD8 T cells into cytotoxic effector cells requires three distinct signals- antigen (signal 1), costimulation -B7-1 (signal 2) and cytokine, either interleukin-12 or interferon-a/b (signal 3). Interaction of naive CD8 T cells with antigen and B7-1 programs cell division and proliferation whereas the presence of cytokines- IL-12 or IFNa/b promote survival, differentiation and memory establishment. In the absence of signal 3, the cells interacting with antigen/B7-1 undergo tolerance induction. The objective of this study was to elucidate the mechanisms how the provision of signal 3 promotes differentiation and averts tolerance induction in CD8 T cells. Trichostatin A is a pharmacological agent that inhibits histone deacetylase activity, hence regulating chromatin structure and gene expression and differentiation in many cell types. Gene signature profiles of IL-12, IFNa/b and trichostatin A stimulated cells were compared to elucidate the molecular mechanisms of gene regulation. Oligonucleotide microarray analysis is carried out to determine the extent and molecular nature of the CD8 T cell differentiation program induced by IL-12 or IFNa/b in concert with antigen and B7-1 signal."}
{"STANDARD_NAME":"GSE15930_STIM_VS_STIM_AND_TRICHOSTATINA_72H_CD8_T_CELL_UP","SYSTEMATIC_NAME":"M3648","ORGANISM":"Mus musculus","PMID":"19592655","AUTHORS":"Agarwal P,Raghavan A,Nandiwada SL,Curtsinger JM,Bohjanen PR,Mueller DL,Mescher MF.","GEOID":"GSE15930","EXACT_SOURCE":"GSE15930_1365_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of unstimulated CD8 T cells at 72 h versus CD8 T cells at 72 h after treatment with trichostatin A (TSA) [PubChem=5562].","DESCRIPTION_FULL":"Differentiation of naive CD8 T cells into cytotoxic effector cells requires three distinct signals- antigen (signal 1), costimulation -B7-1 (signal 2) and cytokine, either interleukin-12 or interferon-a/b (signal 3). Interaction of naive CD8 T cells with antigen and B7-1 programs cell division and proliferation whereas the presence of cytokines- IL-12 or IFNa/b promote survival, differentiation and memory establishment. In the absence of signal 3, the cells interacting with antigen/B7-1 undergo tolerance induction. The objective of this study was to elucidate the mechanisms how the provision of signal 3 promotes differentiation and averts tolerance induction in CD8 T cells. Trichostatin A is a pharmacological agent that inhibits histone deacetylase activity, hence regulating chromatin structure and gene expression and differentiation in many cell types. Gene signature profiles of IL-12, IFNa/b and trichostatin A stimulated cells were compared to elucidate the molecular mechanisms of gene regulation. Oligonucleotide microarray analysis is carried out to determine the extent and molecular nature of the CD8 T cell differentiation program induced by IL-12 or IFNa/b in concert with antigen and B7-1 signal."}
{"STANDARD_NAME":"GSE15930_STIM_VS_STIM_AND_TRICHOSTATINA_72H_CD8_T_CELL_DN","SYSTEMATIC_NAME":"M3653","ORGANISM":"Mus musculus","PMID":"19592655","AUTHORS":"Agarwal P,Raghavan A,Nandiwada SL,Curtsinger JM,Bohjanen PR,Mueller DL,Mescher MF.","GEOID":"GSE15930","EXACT_SOURCE":"GSE15930_1365_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of unstimulated CD8 T cells at 72 h versus CD8 T cells at 72 h after treatment with trichostatin A (TSA) [PubChem=5562].","DESCRIPTION_FULL":"Differentiation of naive CD8 T cells into cytotoxic effector cells requires three distinct signals- antigen (signal 1), costimulation -B7-1 (signal 2) and cytokine, either interleukin-12 or interferon-a/b (signal 3). Interaction of naive CD8 T cells with antigen and B7-1 programs cell division and proliferation whereas the presence of cytokines- IL-12 or IFNa/b promote survival, differentiation and memory establishment. In the absence of signal 3, the cells interacting with antigen/B7-1 undergo tolerance induction. The objective of this study was to elucidate the mechanisms how the provision of signal 3 promotes differentiation and averts tolerance induction in CD8 T cells. Trichostatin A is a pharmacological agent that inhibits histone deacetylase activity, hence regulating chromatin structure and gene expression and differentiation in many cell types. Gene signature profiles of IL-12, IFNa/b and trichostatin A stimulated cells were compared to elucidate the molecular mechanisms of gene regulation. Oligonucleotide microarray analysis is carried out to determine the extent and molecular nature of the CD8 T cell differentiation program induced by IL-12 or IFNa/b in concert with antigen and B7-1 signal."}
{"STANDARD_NAME":"GSE16522_MEMORY_VS_NAIVE_CD8_TCELL_UP","SYSTEMATIC_NAME":"M3655","ORGANISM":"Mus musculus","PMID":"19805141","AUTHORS":"Hinrichs CS,Borman ZA,Cassard L,Gattinoni L,Spolski R,Yu Z,Sanchez-Perez L,Muranski P,Kern SJ,Logun C,Palmer DC,Ji Y,Reger RN,Leonard WJ,Danner RL,Rosenberg SA,Restifo NP.","GEOID":"GSE16522","EXACT_SOURCE":"GSE16522_1391_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of rested memory CD8 T cells from pmel-1 mice versus rested naive CD8 T cells from pmel-1 mice.","DESCRIPTION_FULL":"Effector cells for adoptive immunotherapy can be generated by in vitro stimulation of naïve or memory subsets of CD8+ T cells. While the characteristics of CD8+ T cell subsets are well defined, the heritable influence of those populations on their effector cell progeny is not well understood. We studied effector cells generated from naïve or central memory CD8+ T cells and found that they retained distinct gene expression signatures and developmental programs. Effector cells derived from central memory cells tended to retain their CD62L+ phenotype, but also to acquire KLRG1, an indicator of cellular senescence. In contrast, the effector cell progeny of naïve cells displayed reduced terminal differentiation, and, following infusion, they displayed greater expansion, cytokine production, and tumor destruction. These data indicate that effector cells retain a gene expression imprint conferred by their naïve or central memory progenitors, and they suggest a strategy for enhancing cancer immunotherapy."}
{"STANDARD_NAME":"GSE16522_MEMORY_VS_NAIVE_CD8_TCELL_DN","SYSTEMATIC_NAME":"M3659","ORGANISM":"Mus musculus","PMID":"19805141","AUTHORS":"Hinrichs CS,Borman ZA,Cassard L,Gattinoni L,Spolski R,Yu Z,Sanchez-Perez L,Muranski P,Kern SJ,Logun C,Palmer DC,Ji Y,Reger RN,Leonard WJ,Danner RL,Rosenberg SA,Restifo NP.","GEOID":"GSE16522","EXACT_SOURCE":"GSE16522_1391_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of rested memory CD8 T cells from pmel-1 mice versus rested naive CD8 T cells from pmel-1 mice.","DESCRIPTION_FULL":"Effector cells for adoptive immunotherapy can be generated by in vitro stimulation of naïve or memory subsets of CD8+ T cells. While the characteristics of CD8+ T cell subsets are well defined, the heritable influence of those populations on their effector cell progeny is not well understood. We studied effector cells generated from naïve or central memory CD8+ T cells and found that they retained distinct gene expression signatures and developmental programs. Effector cells derived from central memory cells tended to retain their CD62L+ phenotype, but also to acquire KLRG1, an indicator of cellular senescence. In contrast, the effector cell progeny of naïve cells displayed reduced terminal differentiation, and, following infusion, they displayed greater expansion, cytokine production, and tumor destruction. These data indicate that effector cells retain a gene expression imprint conferred by their naïve or central memory progenitors, and they suggest a strategy for enhancing cancer immunotherapy."}
{"STANDARD_NAME":"GSE16522_MEMORY_VS_NAIVE_ANTI_CD3CD28_STIM_CD8_TCELL_UP","SYSTEMATIC_NAME":"M3660","ORGANISM":"Mus musculus","PMID":"19805141","AUTHORS":"Hinrichs CS,Borman ZA,Cassard L,Gattinoni L,Spolski R,Yu Z,Sanchez-Perez L,Muranski P,Kern SJ,Logun C,Palmer DC,Ji Y,Reger RN,Leonard WJ,Danner RL,Rosenberg SA,Restifo NP.","GEOID":"GSE16522","EXACT_SOURCE":"GSE16522_1392_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of stimulated memory CD8 T cells from pmel-1 mice versus stimulated naive CD8 T cells from pmel-1 mice.","DESCRIPTION_FULL":"Effector cells for adoptive immunotherapy can be generated by in vitro stimulation of naïve or memory subsets of CD8+ T cells. While the characteristics of CD8+ T cell subsets are well defined, the heritable influence of those populations on their effector cell progeny is not well understood. We studied effector cells generated from naïve or central memory CD8+ T cells and found that they retained distinct gene expression signatures and developmental programs. Effector cells derived from central memory cells tended to retain their CD62L+ phenotype, but also to acquire KLRG1, an indicator of cellular senescence. In contrast, the effector cell progeny of naïve cells displayed reduced terminal differentiation, and, following infusion, they displayed greater expansion, cytokine production, and tumor destruction. These data indicate that effector cells retain a gene expression imprint conferred by their naïve or central memory progenitors, and they suggest a strategy for enhancing cancer immunotherapy."}
{"STANDARD_NAME":"GSE16522_MEMORY_VS_NAIVE_ANTI_CD3CD28_STIM_CD8_TCELL_DN","SYSTEMATIC_NAME":"M3662","ORGANISM":"Mus musculus","PMID":"19805141","AUTHORS":"Hinrichs CS,Borman ZA,Cassard L,Gattinoni L,Spolski R,Yu Z,Sanchez-Perez L,Muranski P,Kern SJ,Logun C,Palmer DC,Ji Y,Reger RN,Leonard WJ,Danner RL,Rosenberg SA,Restifo NP.","GEOID":"GSE16522","EXACT_SOURCE":"GSE16522_1392_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of stimulated memory CD8 T cells from pmel-1 mice versus stimulated naive CD8 T cells from pmel-1 mice.","DESCRIPTION_FULL":"Effector cells for adoptive immunotherapy can be generated by in vitro stimulation of naïve or memory subsets of CD8+ T cells. While the characteristics of CD8+ T cell subsets are well defined, the heritable influence of those populations on their effector cell progeny is not well understood. We studied effector cells generated from naïve or central memory CD8+ T cells and found that they retained distinct gene expression signatures and developmental programs. Effector cells derived from central memory cells tended to retain their CD62L+ phenotype, but also to acquire KLRG1, an indicator of cellular senescence. In contrast, the effector cell progeny of naïve cells displayed reduced terminal differentiation, and, following infusion, they displayed greater expansion, cytokine production, and tumor destruction. These data indicate that effector cells retain a gene expression imprint conferred by their naïve or central memory progenitors, and they suggest a strategy for enhancing cancer immunotherapy."}
{"STANDARD_NAME":"GSE16522_ANTI_CD3CD28_STIM_VS_UNSTIM_MEMORY_CD8_TCELL_UP","SYSTEMATIC_NAME":"M3663","ORGANISM":"Mus musculus","PMID":"19805141","AUTHORS":"Hinrichs CS,Borman ZA,Cassard L,Gattinoni L,Spolski R,Yu Z,Sanchez-Perez L,Muranski P,Kern SJ,Logun C,Palmer DC,Ji Y,Reger RN,Leonard WJ,Danner RL,Rosenberg SA,Restifo NP.","GEOID":"GSE16522","EXACT_SOURCE":"GSE16522_1393_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of stimulated memory CD8 T cells from pmel-1 mice versus unstimulated memory CD8 T cells from pmel-1 mice.","DESCRIPTION_FULL":"Effector cells for adoptive immunotherapy can be generated by in vitro stimulation of naïve or memory subsets of CD8+ T cells. While the characteristics of CD8+ T cell subsets are well defined, the heritable influence of those populations on their effector cell progeny is not well understood. We studied effector cells generated from naïve or central memory CD8+ T cells and found that they retained distinct gene expression signatures and developmental programs. Effector cells derived from central memory cells tended to retain their CD62L+ phenotype, but also to acquire KLRG1, an indicator of cellular senescence. In contrast, the effector cell progeny of naïve cells displayed reduced terminal differentiation, and, following infusion, they displayed greater expansion, cytokine production, and tumor destruction. These data indicate that effector cells retain a gene expression imprint conferred by their naïve or central memory progenitors, and they suggest a strategy for enhancing cancer immunotherapy."}
{"STANDARD_NAME":"GSE16522_ANTI_CD3CD28_STIM_VS_UNSTIM_MEMORY_CD8_TCELL_DN","SYSTEMATIC_NAME":"M3664","ORGANISM":"Mus musculus","PMID":"19805141","AUTHORS":"Hinrichs CS,Borman ZA,Cassard L,Gattinoni L,Spolski R,Yu Z,Sanchez-Perez L,Muranski P,Kern SJ,Logun C,Palmer DC,Ji Y,Reger RN,Leonard WJ,Danner RL,Rosenberg SA,Restifo NP.","GEOID":"GSE16522","EXACT_SOURCE":"GSE16522_1393_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of stimulated memory CD8 T cells from pmel-1 mice versus unstimulated memory CD8 T cells from pmel-1 mice.","DESCRIPTION_FULL":"Effector cells for adoptive immunotherapy can be generated by in vitro stimulation of naïve or memory subsets of CD8+ T cells. While the characteristics of CD8+ T cell subsets are well defined, the heritable influence of those populations on their effector cell progeny is not well understood. We studied effector cells generated from naïve or central memory CD8+ T cells and found that they retained distinct gene expression signatures and developmental programs. Effector cells derived from central memory cells tended to retain their CD62L+ phenotype, but also to acquire KLRG1, an indicator of cellular senescence. In contrast, the effector cell progeny of naïve cells displayed reduced terminal differentiation, and, following infusion, they displayed greater expansion, cytokine production, and tumor destruction. These data indicate that effector cells retain a gene expression imprint conferred by their naïve or central memory progenitors, and they suggest a strategy for enhancing cancer immunotherapy."}
{"STANDARD_NAME":"GSE16522_ANTI_CD3CD28_STIM_VS_UNSTIM_NAIVE_CD8_TCELL_UP","SYSTEMATIC_NAME":"M3666","ORGANISM":"Mus musculus","PMID":"19805141","AUTHORS":"Hinrichs CS,Borman ZA,Cassard L,Gattinoni L,Spolski R,Yu Z,Sanchez-Perez L,Muranski P,Kern SJ,Logun C,Palmer DC,Ji Y,Reger RN,Leonard WJ,Danner RL,Rosenberg SA,Restifo NP.","GEOID":"GSE16522","EXACT_SOURCE":"GSE16522_1394_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of stimulated naive CD8 T cells from pmel-1 mice versus unstimulated naive CD8 T cells from pmel-1 mice.","DESCRIPTION_FULL":"Effector cells for adoptive immunotherapy can be generated by in vitro stimulation of naïve or memory subsets of CD8+ T cells. While the characteristics of CD8+ T cell subsets are well defined, the heritable influence of those populations on their effector cell progeny is not well understood. We studied effector cells generated from naïve or central memory CD8+ T cells and found that they retained distinct gene expression signatures and developmental programs. Effector cells derived from central memory cells tended to retain their CD62L+ phenotype, but also to acquire KLRG1, an indicator of cellular senescence. In contrast, the effector cell progeny of naïve cells displayed reduced terminal differentiation, and, following infusion, they displayed greater expansion, cytokine production, and tumor destruction. These data indicate that effector cells retain a gene expression imprint conferred by their naïve or central memory progenitors, and they suggest a strategy for enhancing cancer immunotherapy."}
{"STANDARD_NAME":"GSE16522_ANTI_CD3CD28_STIM_VS_UNSTIM_NAIVE_CD8_TCELL_DN","SYSTEMATIC_NAME":"M3667","ORGANISM":"Mus musculus","PMID":"19805141","AUTHORS":"Hinrichs CS,Borman ZA,Cassard L,Gattinoni L,Spolski R,Yu Z,Sanchez-Perez L,Muranski P,Kern SJ,Logun C,Palmer DC,Ji Y,Reger RN,Leonard WJ,Danner RL,Rosenberg SA,Restifo NP.","GEOID":"GSE16522","EXACT_SOURCE":"GSE16522_1394_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of stimulated naive CD8 T cells from pmel-1 mice versus unstimulated naive CD8 T cells from pmel-1 mice.","DESCRIPTION_FULL":"Effector cells for adoptive immunotherapy can be generated by in vitro stimulation of naïve or memory subsets of CD8+ T cells. While the characteristics of CD8+ T cell subsets are well defined, the heritable influence of those populations on their effector cell progeny is not well understood. We studied effector cells generated from naïve or central memory CD8+ T cells and found that they retained distinct gene expression signatures and developmental programs. Effector cells derived from central memory cells tended to retain their CD62L+ phenotype, but also to acquire KLRG1, an indicator of cellular senescence. In contrast, the effector cell progeny of naïve cells displayed reduced terminal differentiation, and, following infusion, they displayed greater expansion, cytokine production, and tumor destruction. These data indicate that effector cells retain a gene expression imprint conferred by their naïve or central memory progenitors, and they suggest a strategy for enhancing cancer immunotherapy."}
{"STANDARD_NAME":"GSE16755_CTRL_VS_IFNA_TREATED_MAC_UP","SYSTEMATIC_NAME":"M3668","ORGANISM":"Homo sapiens","PMID":"19556424","AUTHORS":"Greenwell-Wild T,Vázquez N,Jin W,Rangel Z,Munson PJ,Wahl SM","GEOID":"GSE16755","EXACT_SOURCE":"GSE16755_2032_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control macrophages versus macrophages treated with interferon alpha.","DESCRIPTION_FULL":"To study effects of IFNalpha treatment on monocyte-derived macrophages which may influence susceptibility or resistance to HIV."}
{"STANDARD_NAME":"GSE16755_CTRL_VS_IFNA_TREATED_MAC_DN","SYSTEMATIC_NAME":"M3669","ORGANISM":"Homo sapiens","PMID":"19556424","AUTHORS":"Greenwell-Wild T,Vázquez N,Jin W,Rangel Z,Munson PJ,Wahl SM","GEOID":"GSE16755","EXACT_SOURCE":"GSE16755_2032_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control macrophages versus macrophages treated with interferon alpha.","DESCRIPTION_FULL":"To study effects of IFNalpha treatment on monocyte-derived macrophages which may influence susceptibility or resistance to HIV."}
{"STANDARD_NAME":"GSE17580_TREG_VS_TEFF_UP","SYSTEMATIC_NAME":"M3670","ORGANISM":"Mus musculus","PMID":"20007528","AUTHORS":"Layland LE,Mages J,Loddenkemper C,Hoerauf A,Wagner H,Lang R,da Costa CU.","GEOID":"GSE17580","EXACT_SOURCE":"GSE17580_1295_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of regulatory T cell (Treg) from uninfected mice versus T effector cells from uninfected mice.","DESCRIPTION_FULL":"Although several markers have been associated with the characterization of regulatory T cells (Treg) and their function, no studies have investigated the dynamics of their phenotype during infection. Since the necessity of Treg to control immunopathology has been demonstrated, we used the chronic helminth infection model S. mansoni to address the impact on the Treg gene repertoire. Before gene expression profiling we first chose to study the localization and antigen-specific suppressive nature of classically defined Treg during infection. Presence of Foxp3+ cells were found especially in the periphery of granulomas and isolated CD4+CD25hiFoxp3+ Treg from infected mice blocked IFN-gamma and IL-10 cytokine secretion from infected CD4+CD25- effector T cells (Teff). Furthermore the gene expression patterns of Treg and Teff showed that in total 474 genes were significantly regulated during chronic schistosomiasis. Upon k-means clustering we identified genes exclusively regulated in all four populations including Foxp3, CD103, GITR, OX40 and CTLA-4: classical Treg markers. During infection however, several non-classical genes were up-regulated solely within the Treg population such as Slpi, Gzmb, Mt1, Fabp5, Nfil3, Socs2, Gpr177 and Klrg1. Using RT-PCR we confirmed aspects of the microarray data and in addition showed that the expression profile of Treg from S. mansoni-infected mice is simultaneously unique and comparative with Treg derived from other infections"}
{"STANDARD_NAME":"GSE17580_TREG_VS_TEFF_DN","SYSTEMATIC_NAME":"M3671","ORGANISM":"Mus musculus","PMID":"20007528","AUTHORS":"Layland LE,Mages J,Loddenkemper C,Hoerauf A,Wagner H,Lang R,da Costa CU.","GEOID":"GSE17580","EXACT_SOURCE":"GSE17580_1295_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of regulatory T cell (Treg) from uninfected mice versus T effector cells from uninfected mice.","DESCRIPTION_FULL":"Although several markers have been associated with the characterization of regulatory T cells (Treg) and their function, no studies have investigated the dynamics of their phenotype during infection. Since the necessity of Treg to control immunopathology has been demonstrated, we used the chronic helminth infection model S. mansoni to address the impact on the Treg gene repertoire. Before gene expression profiling we first chose to study the localization and antigen-specific suppressive nature of classically defined Treg during infection. Presence of Foxp3+ cells were found especially in the periphery of granulomas and isolated CD4+CD25hiFoxp3+ Treg from infected mice blocked IFN-gamma and IL-10 cytokine secretion from infected CD4+CD25- effector T cells (Teff). Furthermore the gene expression patterns of Treg and Teff showed that in total 474 genes were significantly regulated during chronic schistosomiasis. Upon k-means clustering we identified genes exclusively regulated in all four populations including Foxp3, CD103, GITR, OX40 and CTLA-4: classical Treg markers. During infection however, several non-classical genes were up-regulated solely within the Treg population such as Slpi, Gzmb, Mt1, Fabp5, Nfil3, Socs2, Gpr177 and Klrg1. Using RT-PCR we confirmed aspects of the microarray data and in addition showed that the expression profile of Treg from S. mansoni-infected mice is simultaneously unique and comparative with Treg derived from other infections"}
{"STANDARD_NAME":"GSE17580_TREG_VS_TEFF_S_MANSONI_INF_UP","SYSTEMATIC_NAME":"M3673","ORGANISM":"Mus musculus","PMID":"20007528","AUTHORS":"Layland LE,Mages J,Loddenkemper C,Hoerauf A,Wagner H,Lang R,da Costa CU.","GEOID":"GSE17580","EXACT_SOURCE":"GSE17580_1296_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of regulatory T cell (Treg) from mice infected with S. mansoni versus T effector cells from the infected mice.","DESCRIPTION_FULL":"Although several markers have been associated with the characterization of regulatory T cells (Treg) and their function, no studies have investigated the dynamics of their phenotype during infection. Since the necessity of Treg to control immunopathology has been demonstrated, we used the chronic helminth infection model S. mansoni to address the impact on the Treg gene repertoire. Before gene expression profiling we first chose to study the localization and antigen-specific suppressive nature of classically defined Treg during infection. Presence of Foxp3+ cells were found especially in the periphery of granulomas and isolated CD4+CD25hiFoxp3+ Treg from infected mice blocked IFN-gamma and IL-10 cytokine secretion from infected CD4+CD25- effector T cells (Teff). Furthermore the gene expression patterns of Treg and Teff showed that in total 474 genes were significantly regulated during chronic schistosomiasis. Upon k-means clustering we identified genes exclusively regulated in all four populations including Foxp3, CD103, GITR, OX40 and CTLA-4: classical Treg markers. During infection however, several non-classical genes were up-regulated solely within the Treg population such as Slpi, Gzmb, Mt1, Fabp5, Nfil3, Socs2, Gpr177 and Klrg1. Using RT-PCR we confirmed aspects of the microarray data and in addition showed that the expression profile of Treg from S. mansoni-infected mice is simultaneously unique and comparative with Treg derived from other infections"}
{"STANDARD_NAME":"GSE17580_TREG_VS_TEFF_S_MANSONI_INF_DN","SYSTEMATIC_NAME":"M3674","ORGANISM":"Mus musculus","PMID":"20007528","AUTHORS":"Layland LE,Mages J,Loddenkemper C,Hoerauf A,Wagner H,Lang R,da Costa CU.","GEOID":"GSE17580","EXACT_SOURCE":"GSE17580_1296_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of regulatory T cell (Treg) from mice infected with S. mansoni versus T effector cells from the infected mice.","DESCRIPTION_FULL":"Although several markers have been associated with the characterization of regulatory T cells (Treg) and their function, no studies have investigated the dynamics of their phenotype during infection. Since the necessity of Treg to control immunopathology has been demonstrated, we used the chronic helminth infection model S. mansoni to address the impact on the Treg gene repertoire. Before gene expression profiling we first chose to study the localization and antigen-specific suppressive nature of classically defined Treg during infection. Presence of Foxp3+ cells were found especially in the periphery of granulomas and isolated CD4+CD25hiFoxp3+ Treg from infected mice blocked IFN-gamma and IL-10 cytokine secretion from infected CD4+CD25- effector T cells (Teff). Furthermore the gene expression patterns of Treg and Teff showed that in total 474 genes were significantly regulated during chronic schistosomiasis. Upon k-means clustering we identified genes exclusively regulated in all four populations including Foxp3, CD103, GITR, OX40 and CTLA-4: classical Treg markers. During infection however, several non-classical genes were up-regulated solely within the Treg population such as Slpi, Gzmb, Mt1, Fabp5, Nfil3, Socs2, Gpr177 and Klrg1. Using RT-PCR we confirmed aspects of the microarray data and in addition showed that the expression profile of Treg from S. mansoni-infected mice is simultaneously unique and comparative with Treg derived from other infections"}
{"STANDARD_NAME":"GSE17580_UNINFECTED_VS_S_MANSONI_INF_TEFF_UP","SYSTEMATIC_NAME":"M3675","ORGANISM":"Mus musculus","PMID":"20007528","AUTHORS":"Layland LE,Mages J,Loddenkemper C,Hoerauf A,Wagner H,Lang R,da Costa CU.","GEOID":"GSE17580","EXACT_SOURCE":"GSE17580_1297_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of T effector cells from uninfected mice versus T effector cells from mice infected with S. mansoni.","DESCRIPTION_FULL":"Although several markers have been associated with the characterization of regulatory T cells (Treg) and their function, no studies have investigated the dynamics of their phenotype during infection. Since the necessity of Treg to control immunopathology has been demonstrated, we used the chronic helminth infection model S. mansoni to address the impact on the Treg gene repertoire. Before gene expression profiling we first chose to study the localization and antigen-specific suppressive nature of classically defined Treg during infection. Presence of Foxp3+ cells were found especially in the periphery of granulomas and isolated CD4+CD25hiFoxp3+ Treg from infected mice blocked IFN-gamma and IL-10 cytokine secretion from infected CD4+CD25- effector T cells (Teff). Furthermore the gene expression patterns of Treg and Teff showed that in total 474 genes were significantly regulated during chronic schistosomiasis. Upon k-means clustering we identified genes exclusively regulated in all four populations including Foxp3, CD103, GITR, OX40 and CTLA-4: classical Treg markers. During infection however, several non-classical genes were up-regulated solely within the Treg population such as Slpi, Gzmb, Mt1, Fabp5, Nfil3, Socs2, Gpr177 and Klrg1. Using RT-PCR we confirmed aspects of the microarray data and in addition showed that the expression profile of Treg from S. mansoni-infected mice is simultaneously unique and comparative with Treg derived from other infections"}
{"STANDARD_NAME":"GSE17580_UNINFECTED_VS_S_MANSONI_INF_TEFF_DN","SYSTEMATIC_NAME":"M3676","ORGANISM":"Mus musculus","PMID":"20007528","AUTHORS":"Layland LE,Mages J,Loddenkemper C,Hoerauf A,Wagner H,Lang R,da Costa CU.","GEOID":"GSE17580","EXACT_SOURCE":"GSE17580_1297_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of T effector cells from uninfected mice versus T effector cells from mice infected with S. mansoni.","DESCRIPTION_FULL":"Although several markers have been associated with the characterization of regulatory T cells (Treg) and their function, no studies have investigated the dynamics of their phenotype during infection. Since the necessity of Treg to control immunopathology has been demonstrated, we used the chronic helminth infection model S. mansoni to address the impact on the Treg gene repertoire. Before gene expression profiling we first chose to study the localization and antigen-specific suppressive nature of classically defined Treg during infection. Presence of Foxp3+ cells were found especially in the periphery of granulomas and isolated CD4+CD25hiFoxp3+ Treg from infected mice blocked IFN-gamma and IL-10 cytokine secretion from infected CD4+CD25- effector T cells (Teff). Furthermore the gene expression patterns of Treg and Teff showed that in total 474 genes were significantly regulated during chronic schistosomiasis. Upon k-means clustering we identified genes exclusively regulated in all four populations including Foxp3, CD103, GITR, OX40 and CTLA-4: classical Treg markers. During infection however, several non-classical genes were up-regulated solely within the Treg population such as Slpi, Gzmb, Mt1, Fabp5, Nfil3, Socs2, Gpr177 and Klrg1. Using RT-PCR we confirmed aspects of the microarray data and in addition showed that the expression profile of Treg from S. mansoni-infected mice is simultaneously unique and comparative with Treg derived from other infections"}
{"STANDARD_NAME":"GSE17580_UNINFECTED_VS_S_MANSONI_INF_TREG_UP","SYSTEMATIC_NAME":"M3677","ORGANISM":"Mus musculus","PMID":"20007528","AUTHORS":"Layland LE,Mages J,Loddenkemper C,Hoerauf A,Wagner H,Lang R,da Costa CU.","GEOID":"GSE17580","EXACT_SOURCE":"GSE17580_1298_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of regulatory T cell (Treg) from uninfected mice versus regulatory T cell (Treg) from mice infected with S. mansoni.","DESCRIPTION_FULL":"Although several markers have been associated with the characterization of regulatory T cells (Treg) and their function, no studies have investigated the dynamics of their phenotype during infection. Since the necessity of Treg to control immunopathology has been demonstrated, we used the chronic helminth infection model S. mansoni to address the impact on the Treg gene repertoire. Before gene expression profiling we first chose to study the localization and antigen-specific suppressive nature of classically defined Treg during infection. Presence of Foxp3+ cells were found especially in the periphery of granulomas and isolated CD4+CD25hiFoxp3+ Treg from infected mice blocked IFN-gamma and IL-10 cytokine secretion from infected CD4+CD25- effector T cells (Teff). Furthermore the gene expression patterns of Treg and Teff showed that in total 474 genes were significantly regulated during chronic schistosomiasis. Upon k-means clustering we identified genes exclusively regulated in all four populations including Foxp3, CD103, GITR, OX40 and CTLA-4: classical Treg markers. During infection however, several non-classical genes were up-regulated solely within the Treg population such as Slpi, Gzmb, Mt1, Fabp5, Nfil3, Socs2, Gpr177 and Klrg1. Using RT-PCR we confirmed aspects of the microarray data and in addition showed that the expression profile of Treg from S. mansoni-infected mice is simultaneously unique and comparative with Treg derived from other infections"}
{"STANDARD_NAME":"GSE17580_UNINFECTED_VS_S_MANSONI_INF_TREG_DN","SYSTEMATIC_NAME":"M3678","ORGANISM":"Mus musculus","PMID":"20007528","AUTHORS":"Layland LE,Mages J,Loddenkemper C,Hoerauf A,Wagner H,Lang R,da Costa CU.","GEOID":"GSE17580","EXACT_SOURCE":"GSE17580_1298_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of regulatory T cell (Treg) from uninfected mice versus regulatory T cell (Treg) from mice infected with S. mansoni.","DESCRIPTION_FULL":"Although several markers have been associated with the characterization of regulatory T cells (Treg) and their function, no studies have investigated the dynamics of their phenotype during infection. Since the necessity of Treg to control immunopathology has been demonstrated, we used the chronic helminth infection model S. mansoni to address the impact on the Treg gene repertoire. Before gene expression profiling we first chose to study the localization and antigen-specific suppressive nature of classically defined Treg during infection. Presence of Foxp3+ cells were found especially in the periphery of granulomas and isolated CD4+CD25hiFoxp3+ Treg from infected mice blocked IFN-gamma and IL-10 cytokine secretion from infected CD4+CD25- effector T cells (Teff). Furthermore the gene expression patterns of Treg and Teff showed that in total 474 genes were significantly regulated during chronic schistosomiasis. Upon k-means clustering we identified genes exclusively regulated in all four populations including Foxp3, CD103, GITR, OX40 and CTLA-4: classical Treg markers. During infection however, several non-classical genes were up-regulated solely within the Treg population such as Slpi, Gzmb, Mt1, Fabp5, Nfil3, Socs2, Gpr177 and Klrg1. Using RT-PCR we confirmed aspects of the microarray data and in addition showed that the expression profile of Treg from S. mansoni-infected mice is simultaneously unique and comparative with Treg derived from other infections"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_LPS_0.5H_BMDC_UP","SYSTEMATIC_NAME":"M3679","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1853_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control dendritic cells (DC) at 0 h versus those stimulated with LPS (TLR4 agonist) at 0.5 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_LPS_0.5H_BMDC_DN","SYSTEMATIC_NAME":"M3680","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1853_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control dendritic cells (DC) at 0 h versus those stimulated with LPS (TLR4 agonist) at 0.5 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_LPS_1H_BMDC_UP","SYSTEMATIC_NAME":"M3683","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1854_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control dendritic cells (DC) at 1 h versus those stimulated with LPS (TLR4 agonist) at 1 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_LPS_1H_BMDC_DN","SYSTEMATIC_NAME":"M3685","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1854_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control dendritic cells (DC) at 1 h versus those stimulated with LPS (TLR4 agonist) at 1 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_LPS_2H_BMDC_UP","SYSTEMATIC_NAME":"M3687","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1855_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control dendritic cells (DC) at 2 h versus those stimulated with LPS (TLR4 agonist) at 2 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_LPS_2H_BMDC_DN","SYSTEMATIC_NAME":"M3688","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1855_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control dendritic cells (DC) at 2 h versus those stimulated with LPS (TLR4 agonist) at 2 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_LPS_4H_BMDC_UP","SYSTEMATIC_NAME":"M3689","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1856_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control dendritic cells (DC) at 4 h versus those stimulated with LPS (TLR4 agonist) at 4 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_LPS_4H_BMDC_DN","SYSTEMATIC_NAME":"M3690","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1856_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control dendritic cells (DC) at 4 h versus those stimulated with LPS (TLR4 agonist) at 4 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_LPS_6H_BMDC_UP","SYSTEMATIC_NAME":"M3691","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1857_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control dendritic cells (DC) at 6 h versus those stimulated with LPS (TLR4 agonist) at 6 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_LPS_6H_BMDC_DN","SYSTEMATIC_NAME":"M3692","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1857_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control dendritic cells (DC) at 6 h versus those stimulated with LPS (TLR4 agonist) at 6 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_LPS_8H_BMDC_UP","SYSTEMATIC_NAME":"M3699","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1858_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control dendritic cells (DC) at 8 h versus those stimulated with LPS (TLR4 agonist) at 8 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_LPS_8H_BMDC_DN","SYSTEMATIC_NAME":"M3700","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1858_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control dendritic cells (DC) at 8 h versus those stimulated with LPS (TLR4 agonist) at 8 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_LPS_12H_BMDC_UP","SYSTEMATIC_NAME":"M3701","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1859_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control dendritic cells (DC) at 12 h versus those stimulated with LPS (TLR4 agonist) at 12 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_LPS_12H_BMDC_DN","SYSTEMATIC_NAME":"M3702","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1859_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control dendritic cells (DC) at 12 h versus those stimulated with LPS (TLR4 agonist) at 12 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_LPS_24H_BMDC_UP","SYSTEMATIC_NAME":"M3703","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1860_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control dendritic cells (DC) at 24 h versus those stimulated with LPS (TLR4 agonist) at 24 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_LPS_24H_BMDC_DN","SYSTEMATIC_NAME":"M3704","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1860_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control dendritic cells (DC) at 24 h versus those stimulated with LPS (TLR4 agonist) at 24 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_POLYIC_0.5H_BMDC_UP","SYSTEMATIC_NAME":"M3705","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1861_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control dendritic cells (DC) at 0 h versus those stimulated with poly(I:C) (TLR3 agonist) at 0.5 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_POLYIC_0.5H_BMDC_DN","SYSTEMATIC_NAME":"M3706","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1861_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control dendritic cells (DC) at 0 h versus those stimulated with poly(I:C) (TLR3 agonist) at 0.5 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_POLYIC_1H_BMDC_UP","SYSTEMATIC_NAME":"M3707","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1862_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control dendritic cells (DC) at 1 h versus those stimulated with poly(I:C) (TLR3 agonist) at 1 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_POLYIC_1H_BMDC_DN","SYSTEMATIC_NAME":"M3709","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1862_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control dendritic cells (DC) at 1 h versus those stimulated with poly(I:C) (TLR3 agonist) at 1 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_POLYIC_2H_BMDC_UP","SYSTEMATIC_NAME":"M3711","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1863_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control dendritic cells (DC) at 2 h versus those stimulated with poly(I:C) (TLR3 agonist) at 2 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_POLYIC_2H_BMDC_DN","SYSTEMATIC_NAME":"M3712","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1863_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control dendritic cells (DC) at 2 h versus those stimulated with poly(I:C) (TLR3 agonist) at 2 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_POLYIC_4H_BMDC_UP","SYSTEMATIC_NAME":"M3713","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1864_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control dendritic cells (DC) at 4 h versus those stimulated with poly(I:C) (TLR3 agonist) at 4 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_POLYIC_4H_BMDC_DN","SYSTEMATIC_NAME":"M3714","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1864_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control dendritic cells (DC) at 4 h versus those stimulated with poly(I:C) (TLR3 agonist) at 4 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_POLYIC_6H_BMDC_UP","SYSTEMATIC_NAME":"M3715","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1865_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control dendritic cells (DC) at 6 h versus those stimulated with poly(I:C) (TLR3 agonist) at 6 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_POLYIC_6H_BMDC_DN","SYSTEMATIC_NAME":"M3716","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1865_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control dendritic cells (DC) at 6 h versus those stimulated with poly(I:C) (TLR3 agonist) at 6 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_POLYIC_8H_BMDC_UP","SYSTEMATIC_NAME":"M3717","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1866_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control dendritic cells (DC) at 8 h versus those stimulated with poly(I:C) (TLR3 agonist) at 8 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_POLYIC_8H_BMDC_DN","SYSTEMATIC_NAME":"M3718","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1866_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control dendritic cells (DC) at 8 h versus those stimulated with poly(I:C) (TLR3 agonist) at 8 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_POLYIC_12H_BMDC_UP","SYSTEMATIC_NAME":"M3719","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1867_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control dendritic cells (DC) at 12 h versus those stimulated with poly(I:C) (TLR3 agonist) at 12 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_POLYIC_12H_BMDC_DN","SYSTEMATIC_NAME":"M3722","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1867_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control dendritic cells (DC) at 12 h versus those stimulated with poly(I:C) (TLR3 agonist) at 12 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_POLYIC_24H_BMDC_UP","SYSTEMATIC_NAME":"M3723","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1868_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control dendritic cells (DC) at 24 h versus those stimulated with poly(I:C) (TLR3 agonist) at 24 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_POLYIC_24H_BMDC_DN","SYSTEMATIC_NAME":"M3725","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1868_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control dendritic cells (DC) at 24 h versus those stimulated with poly(I:C) (TLR3 agonist) at 24 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_PAM3CSK4_0.5H_BMDC_UP","SYSTEMATIC_NAME":"M3728","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1869_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control dendritic cells (DC) at 0 h versus those stimulated with Pam3Csk4 (TLR1/2 agonist) at 0.5 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_PAM3CSK4_0.5H_BMDC_DN","SYSTEMATIC_NAME":"M3729","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1869_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control dendritic cells (DC) at 0 h versus those stimulated with Pam3Csk4 (TLR1/2 agonist) at 0.5 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_PAM3CSK4_1H_BMDC_UP","SYSTEMATIC_NAME":"M3730","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1870_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control dendritic cells (DC) at 1 h versus those stimulated with Pam3Csk4 (TLR1/2 agonist) at 1 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_PAM3CSK4_1H_BMDC_DN","SYSTEMATIC_NAME":"M3731","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1870_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control dendritic cells (DC) at 1 h versus those stimulated with Pam3Csk4 (TLR1/2 agonist) at 1 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_PAM3CSK4_2H_BMDC_UP","SYSTEMATIC_NAME":"M3733","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1871_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control dendritic cells (DC) at 2 h versus those stimulated with Pam3Csk4 (TLR1/2 agonist) at 2 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_PAM3CSK4_2H_BMDC_DN","SYSTEMATIC_NAME":"M3734","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1871_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control dendritic cells (DC) at 2 h versus those stimulated with Pam3Csk4 (TLR1/2 agonist) at 2 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_PAM3CSK4_4H_BMDC_UP","SYSTEMATIC_NAME":"M3735","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1872_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control dendritic cells (DC) at 4 h versus those stimulated with Pam3Csk4 (TLR1/2 agonist) at 4 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_PAM3CSK4_4H_BMDC_DN","SYSTEMATIC_NAME":"M3738","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1872_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control dendritic cells (DC) at 4 h versus those stimulated with Pam3Csk4 (TLR1/2 agonist) at 4 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_PAM3CSK4_6H_BMDC_UP","SYSTEMATIC_NAME":"M3740","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1873_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control dendritic cells (DC) at 6 h versus those stimulated with Pam3Csk4 (TLR1/2 agonist) at 6 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_PAM3CSK4_6H_BMDC_DN","SYSTEMATIC_NAME":"M3742","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1873_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control dendritic cells (DC) at 6 h versus those stimulated with Pam3Csk4 (TLR1/2 agonist) at 6 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_PAM3CSK4_8H_BMDC_UP","SYSTEMATIC_NAME":"M3743","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1874_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control dendritic cells (DC) at 8 h versus those stimulated with Pam3Csk4 (TLR1/2 agonist) at 8 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_PAM3CSK4_8H_BMDC_DN","SYSTEMATIC_NAME":"M3747","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1874_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control dendritic cells (DC) at 8 h versus those stimulated with Pam3Csk4 (TLR1/2 agonist) at 8 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_PAM3CSK4_12H_BMDC_UP","SYSTEMATIC_NAME":"M3749","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1875_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control dendritic cells (DC) at 12 h versus those stimulated with Pam3Csk4 (TLR1/2 agonist) at 12 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_PAM3CSK4_12H_BMDC_DN","SYSTEMATIC_NAME":"M3750","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1875_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control dendritic cells (DC) at 12 h versus those stimulated with Pam3Csk4 (TLR1/2 agonist) at 12 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_PAM3CSK4_24H_BMDC_UP","SYSTEMATIC_NAME":"M3751","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1876_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control dendritic cells (DC) at 24 h versus those stimulated with Pam3Csk4 (TLR1/2 agonist) at 24 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_PAM3CSK4_24H_BMDC_DN","SYSTEMATIC_NAME":"M3752","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1876_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control dendritic cells (DC) at 24 h versus those stimulated with Pam3Csk4 (TLR1/2 agonist) at 24 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_CPG_0.5H_BMDC_UP","SYSTEMATIC_NAME":"M3754","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1877_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control dendritic cells (DC) at 0 h versus those stimulated with CpG DNA (TLR9 agonist) at 0.5 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_CPG_0.5H_BMDC_DN","SYSTEMATIC_NAME":"M3755","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1877_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control dendritic cells (DC) at 0 h versus those stimulated with CpG DNA (TLR9 agonist) at 0.5 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_CPG_1H_BMDC_UP","SYSTEMATIC_NAME":"M3756","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1878_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control dendritic cells (DC) at 1 h versus those stimulated with CpG DNA (TLR9 agonist) at 1 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_CPG_1H_BMDC_DN","SYSTEMATIC_NAME":"M3757","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1878_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control dendritic cells (DC) at 1 h versus those stimulated with CpG DNA (TLR9 agonist) at 1 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_CPG_2H_BMDC_UP","SYSTEMATIC_NAME":"M3759","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1879_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control dendritic cells (DC) at 2 h versus those stimulated with CpG DNA (TLR9 agonist) at 2 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_CPG_2H_BMDC_DN","SYSTEMATIC_NAME":"M3760","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1879_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control dendritic cells (DC) at 2 h versus those stimulated with CpG DNA (TLR9 agonist) at 2 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_CPG_4H_BMDC_UP","SYSTEMATIC_NAME":"M3761","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1880_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control dendritic cells (DC) at 4 h versus those stimulated with CpG DNA (TLR9 agonist) at 4 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_CPG_4H_BMDC_DN","SYSTEMATIC_NAME":"M3763","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1880_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control dendritic cells (DC) at 4 h versus those stimulated with CpG DNA (TLR9 agonist) at 4 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_CPG_6H_BMDC_UP","SYSTEMATIC_NAME":"M3764","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1881_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control dendritic cells (DC) at 6 h versus those stimulated with CpG DNA (TLR9 agonist) at 6 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_CPG_6H_BMDC_DN","SYSTEMATIC_NAME":"M3765","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1881_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control dendritic cells (DC) at 6 h versus those stimulated with CpG DNA (TLR9 agonist) at 6 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_CPG_8H_BMDC_UP","SYSTEMATIC_NAME":"M3767","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1882_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control dendritic cells (DC) at 8 h versus those stimulated with CpG DNA (TLR9 agonist) at 8 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_CPG_8H_BMDC_DN","SYSTEMATIC_NAME":"M3768","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1882_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control dendritic cells (DC) at 8 h versus those stimulated with CpG DNA (TLR9 agonist) at 8 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_CPG_12H_BMDC_UP","SYSTEMATIC_NAME":"M3769","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1883_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control dendritic cells (DC) at 12 h versus those stimulated with CpG DNA (TLR9 agonist) at 12 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_CPG_12H_BMDC_DN","SYSTEMATIC_NAME":"M3770","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1883_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control dendritic cells (DC) at 12 h versus those stimulated with CpG DNA (TLR9 agonist) at 12 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_CPG_24H_BMDC_UP","SYSTEMATIC_NAME":"M3771","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1884_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control dendritic cells (DC) at 24 h versus those stimulated with CpG DNA (TLR9 agonist) at 24 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_CPG_24H_BMDC_DN","SYSTEMATIC_NAME":"M3772","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1884_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control dendritic cells (DC) at 24 h versus those stimulated with CpG DNA (TLR9 agonist) at 24 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_GARDIQUIMOD_0.5H_BMDC_UP","SYSTEMATIC_NAME":"M3774","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1885_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control dendritic cells (DC) at 0 h versus those stimulated with Gardiquimod (TLR7 agonist) at 0.5 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_GARDIQUIMOD_0.5H_BMDC_DN","SYSTEMATIC_NAME":"M3775","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1885_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control dendritic cells (DC) at 0 h versus those stimulated with Gardiquimod (TLR7 agonist) at 0.5 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_GARDIQUIMOD_1H_BMDC_UP","SYSTEMATIC_NAME":"M3776","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1886_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control dendritic cells (DC) at 1 h versus those stimulated with Gardiquimod (TLR7 agonist) at 1 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_GARDIQUIMOD_1H_BMDC_DN","SYSTEMATIC_NAME":"M3777","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1886_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control dendritic cells (DC) at 1 h versus those stimulated with Gardiquimod (TLR7 agonist) at 1 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_GARDIQUIMOD_2H_BMDC_UP","SYSTEMATIC_NAME":"M3778","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1887_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control dendritic cells (DC) at 2 h versus those stimulated with Gardiquimod (TLR7 agonist) at 2 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_GARDIQUIMOD_2H_BMDC_DN","SYSTEMATIC_NAME":"M3779","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1887_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control dendritic cells (DC) at 2 h versus those stimulated with Gardiquimod (TLR7 agonist) at 2 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_GARDIQUIMOD_4H_BMDC_UP","SYSTEMATIC_NAME":"M3780","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1888_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control dendritic cells (DC) at 4 h versus those stimulated with Gardiquimod (TLR7 agonist) at 4 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_GARDIQUIMOD_4H_BMDC_DN","SYSTEMATIC_NAME":"M3781","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1888_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control dendritic cells (DC) at 4 h versus those stimulated with Gardiquimod (TLR7 agonist) at 4 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_GARDIQUIMOD_6H_BMDC_UP","SYSTEMATIC_NAME":"M3785","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1889_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control dendritic cells (DC) at 6 h versus those stimulated with Gardiquimod (TLR7 agonist) at 6 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_GARDIQUIMOD_6H_BMDC_DN","SYSTEMATIC_NAME":"M3787","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1889_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control dendritic cells (DC) at 6 h versus those stimulated with Gardiquimod (TLR7 agonist) at 6 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_GARDIQUIMOD_8H_BMDC_UP","SYSTEMATIC_NAME":"M3788","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1890_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control dendritic cells (DC) at 8 h versus those stimulated with Gardiquimod (TLR7 agonist) at 8 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_GARDIQUIMOD_8H_BMDC_DN","SYSTEMATIC_NAME":"M3790","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1890_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control dendritic cells (DC) at 8 h versus those stimulated with Gardiquimod (TLR7 agonist) at 8 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_GARDIQUIMOD_12H_BMDC_UP","SYSTEMATIC_NAME":"M3791","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1891_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control dendritic cells (DC) at 12 h versus those stimulated with Gardiquimod (TLR7 agonist) at 12 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_GARDIQUIMOD_12H_BMDC_DN","SYSTEMATIC_NAME":"M3792","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1891_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control dendritic cells (DC) at 12 h versus those stimulated with Gardiquimod (TLR7 agonist) at 12 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_GARDIQUIMOD_24H_BMDC_UP","SYSTEMATIC_NAME":"M3793","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1892_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control dendritic cells (DC) at 24 h versus those stimulated with Gardiquimod (TLR7 agonist) at 24 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CTRL_VS_GARDIQUIMOD_24H_BMDC_DN","SYSTEMATIC_NAME":"M3795","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1892_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control dendritic cells (DC) at 24 h versus those stimulated with Gardiquimod (TLR7 agonist) at 24 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_POLYIC_0.5H_BMDC_UP","SYSTEMATIC_NAME":"M3796","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1893_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 0.5 h versus DC cells stimulated with poly(I:C) (TLR3 agonist) at 0.5 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_POLYIC_0.5H_BMDC_DN","SYSTEMATIC_NAME":"M3797","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1893_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 0.5 h versus DC cells stimulated with poly(I:C) (TLR3 agonist) at 0.5 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_POLYIC_1H_BMDC_UP","SYSTEMATIC_NAME":"M3798","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1894_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 1 h versus DC cells stimulated with poly(I:C) (TLR3 agonist) at 1 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_POLYIC_1H_BMDC_DN","SYSTEMATIC_NAME":"M3800","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1894_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 1 h versus DC cells stimulated with poly(I:C) (TLR3 agonist) at 1 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_POLYIC_2H_BMDC_UP","SYSTEMATIC_NAME":"M3801","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1895_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 2 h versus DC cells stimulated with poly(I:C) (TLR3 agonist) at 2 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_POLYIC_2H_BMDC_DN","SYSTEMATIC_NAME":"M3802","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1895_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 2 h versus DC cells stimulated with poly(I:C) (TLR3 agonist) at 2 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_POLYIC_4H_BMDC_UP","SYSTEMATIC_NAME":"M3803","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1896_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 4 h versus DC cells stimulated with poly(I:C) (TLR3 agonist) at 4 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_POLYIC_4H_BMDC_DN","SYSTEMATIC_NAME":"M3807","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1896_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 4 h versus DC cells stimulated with poly(I:C) (TLR3 agonist) at 4 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_POLYIC_6H_BMDC_UP","SYSTEMATIC_NAME":"M3808","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1897_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 6 h versus DC cells stimulated with poly(I:C) (TLR3 agonist) at 6 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_POLYIC_6H_BMDC_DN","SYSTEMATIC_NAME":"M3809","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1897_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 6 h versus DC cells stimulated with poly(I:C) (TLR3 agonist) at 6 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_POLYIC_8H_BMDC_UP","SYSTEMATIC_NAME":"M3811","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1898_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 8 h versus DC cells stimulated with poly(I:C) (TLR3 agonist) at 8 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_POLYIC_8H_BMDC_DN","SYSTEMATIC_NAME":"M3813","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1898_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 8 h versus DC cells stimulated with poly(I:C) (TLR3 agonist) at 8 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_POLYIC_12H_BMDC_UP","SYSTEMATIC_NAME":"M3814","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1899_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 12 h versus DC cells stimulated with poly(I:C) (TLR3 agonist) at 12 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_POLYIC_12H_BMDC_DN","SYSTEMATIC_NAME":"M3817","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1899_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 12 h versus DC cells stimulated with poly(I:C) (TLR3 agonist) at 12 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_POLYIC_16H_BMDC_UP","SYSTEMATIC_NAME":"M3818","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1900_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 16 h versus DC cells stimulated with poly(I:C) (TLR3 agonist) at 16 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_POLYIC_16H_BMDC_DN","SYSTEMATIC_NAME":"M3819","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1900_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 16 h versus DC cells stimulated with poly(I:C) (TLR3 agonist) at 16 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_POLYIC_24H_BMDC_UP","SYSTEMATIC_NAME":"M3820","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1901_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 24 h versus DC cells stimulated with poly(I:C) (TLR3 agonist) at 24 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_POLYIC_24H_BMDC_DN","SYSTEMATIC_NAME":"M3821","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1901_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 24 h versus DC cells stimulated with poly(I:C) (TLR3 agonist) at 24 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_POLYIC_VS_PAM3CSK4_0.5H_BMDC_UP","SYSTEMATIC_NAME":"M3822","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1902_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 0.5 h versus DC cells stimulated with Pam3Csk4 (TLR1/2 agonist) at 0.5 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_POLYIC_VS_PAM3CSK4_0.5H_BMDC_DN","SYSTEMATIC_NAME":"M3823","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1902_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 0.5 h versus DC cells stimulated with Pam3Csk4 (TLR1/2 agonist) at 0.5 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_POLYIC_VS_PAM3CSK4_1H_BMDC_UP","SYSTEMATIC_NAME":"M3824","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1903_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 1 h versus DC cells stimulated with Pam3Csk4 (TLR1/2 agonist) at 1 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_POLYIC_VS_PAM3CSK4_1H_BMDC_DN","SYSTEMATIC_NAME":"M3826","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1903_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 1 h versus DC cells stimulated with Pam3Csk4 (TLR1/2 agonist) at 1 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_POLYIC_VS_PAM3CSK4_2H_BMDC_UP","SYSTEMATIC_NAME":"M3830","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1904_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 2 h versus DC cells stimulated with Pam3Csk4 (TLR1/2 agonist) at 2 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_POLYIC_VS_PAM3CSK4_2H_BMDC_DN","SYSTEMATIC_NAME":"M3831","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1904_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 2 h versus DC cells stimulated with Pam3Csk4 (TLR1/2 agonist) at 2 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_POLYIC_VS_PAM3CSK4_4H_BMDC_UP","SYSTEMATIC_NAME":"M3832","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1905_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 4 h versus DC cells stimulated with Pam3Csk4 (TLR1/2 agonist) at 4 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_POLYIC_VS_PAM3CSK4_4H_BMDC_DN","SYSTEMATIC_NAME":"M3833","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1905_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 4 h versus DC cells stimulated with Pam3Csk4 (TLR1/2 agonist) at 4 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_POLYIC_VS_PAM3CSK4_6H_BMDC_UP","SYSTEMATIC_NAME":"M3834","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1906_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 6 h versus DC cells stimulated with Pam3Csk4 (TLR1/2 agonist) at 6 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_POLYIC_VS_PAM3CSK4_6H_BMDC_DN","SYSTEMATIC_NAME":"M3836","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1906_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 6 h versus DC cells stimulated with Pam3Csk4 (TLR1/2 agonist) at 6 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_POLYIC_VS_PAM3CSK4_8H_BMDC_UP","SYSTEMATIC_NAME":"M3838","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1907_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 8 h versus DC cells stimulated with Pam3Csk4 (TLR1/2 agonist) at 8 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_POLYIC_VS_PAM3CSK4_8H_BMDC_DN","SYSTEMATIC_NAME":"M3839","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1907_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 8 h versus DC cells stimulated with Pam3Csk4 (TLR1/2 agonist) at 8 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_POLYIC_VS_PAM3CSK4_12H_BMDC_UP","SYSTEMATIC_NAME":"M3840","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1908_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 12 h versus DC cells stimulated with Pam3Csk4 (TLR1/2 agonist) at 12 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_POLYIC_VS_PAM3CSK4_12H_BMDC_DN","SYSTEMATIC_NAME":"M3841","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1908_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 12 h versus DC cells stimulated with Pam3Csk4 (TLR1/2 agonist) at 12 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_POLYIC_VS_PAM3CSK4_16H_BMDC_UP","SYSTEMATIC_NAME":"M3842","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1909_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 16 h versus DC cells stimulated with Pam3Csk4 (TLR1/2 agonist) at 16 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_POLYIC_VS_PAM3CSK4_16H_BMDC_DN","SYSTEMATIC_NAME":"M3843","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1909_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 16 h versus DC cells stimulated with Pam3Csk4 (TLR1/2 agonist) at 16 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_POLYIC_VS_PAM3CSK4_24H_BMDC_UP","SYSTEMATIC_NAME":"M3846","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1910_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 24 h versus DC cells stimulated with Pam3Csk4 (TLR1/2 agonist) at 24 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_POLYIC_VS_PAM3CSK4_24H_BMDC_DN","SYSTEMATIC_NAME":"M3847","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1910_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 24 h versus DC cells stimulated with Pam3Csk4 (TLR1/2 agonist) at 24 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_PAM3CSK4_VS_CPG_0.5H_BMDC_UP","SYSTEMATIC_NAME":"M3850","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1911_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with Pam3Csk4 (TLR1/2 agonist) at 0.5 h versus DC cells stimulated with CpG DNA (TLR9 agonist) at 0.5 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_PAM3CSK4_VS_CPG_0.5H_BMDC_DN","SYSTEMATIC_NAME":"M3851","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1911_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with Pam3Csk4 (TLR1/2 agonist) at 0.5 h versus DC cells stimulated with CpG DNA (TLR9 agonist) at 0.5 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_PAM3CSK4_VS_CPG_1H_BMDC_UP","SYSTEMATIC_NAME":"M3852","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1912_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with Pam3Csk4 (TLR1/2 agonist) at 1 h versus DC cells stimulated with CpG DNA (TLR9 agonist) at 1 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_PAM3CSK4_VS_CPG_1H_BMDC_DN","SYSTEMATIC_NAME":"M3853","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1912_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with Pam3Csk4 (TLR1/2 agonist) at 1 h versus DC cells stimulated with CpG DNA (TLR9 agonist) at 1 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_PAM3CSK4_VS_CPG_2H_BMDC_UP","SYSTEMATIC_NAME":"M3857","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1913_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with Pam3Csk4 (TLR1/2 agonist) at 2 h versus DC cells stimulated with CpG DNA (TLR9 agonist) at 2 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_PAM3CSK4_VS_CPG_2H_BMDC_DN","SYSTEMATIC_NAME":"M3858","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1913_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with Pam3Csk4 (TLR1/2 agonist) at 2 h versus DC cells stimulated with CpG DNA (TLR9 agonist) at 2 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_PAM3CSK4_VS_CPG_4H_BMDC_UP","SYSTEMATIC_NAME":"M3860","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1914_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with Pam3Csk4 (TLR1/2 agonist) at 4 h versus DC cells stimulated with CpG DNA (TLR9 agonist) at 4 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_PAM3CSK4_VS_CPG_4H_BMDC_DN","SYSTEMATIC_NAME":"M3861","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1914_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with Pam3Csk4 (TLR1/2 agonist) at 4 h versus DC cells stimulated with CpG DNA (TLR9 agonist) at 4 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_PAM3CSK4_VS_CPG_6H_BMDC_UP","SYSTEMATIC_NAME":"M3863","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1915_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with Pam3Csk4 (TLR1/2 agonist) at 6 h versus DC cells stimulated with CpG DNA (TLR9 agonist) at 6 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_PAM3CSK4_VS_CPG_6H_BMDC_DN","SYSTEMATIC_NAME":"M3864","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1915_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with Pam3Csk4 (TLR1/2 agonist) at 6 h versus DC cells stimulated with CpG DNA (TLR9 agonist) at 6 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_PAM3CSK4_VS_CPG_8H_BMDC_UP","SYSTEMATIC_NAME":"M3865","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1916_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with Pam3Csk4 (TLR1/2 agonist) at 8 h versus DC cells stimulated with CpG DNA (TLR9 agonist) at 8 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_PAM3CSK4_VS_CPG_8H_BMDC_DN","SYSTEMATIC_NAME":"M3866","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1916_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with Pam3Csk4 (TLR1/2 agonist) at 8 h versus DC cells stimulated with CpG DNA (TLR9 agonist) at 8 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_PAM3CSK4_VS_CPG_12H_BMDC_UP","SYSTEMATIC_NAME":"M3867","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1917_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with Pam3Csk4 (TLR1/2 agonist) at 12 h versus DC cells stimulated with CpG DNA (TLR9 agonist) at 12 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_PAM3CSK4_VS_CPG_12H_BMDC_DN","SYSTEMATIC_NAME":"M3868","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1917_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with Pam3Csk4 (TLR1/2 agonist) at 12 h versus DC cells stimulated with CpG DNA (TLR9 agonist) at 12 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_PAM3CSK4_VS_CPG_16H_BMDC_UP","SYSTEMATIC_NAME":"M3869","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1918_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with Pam3Csk4 (TLR1/2 agonist) at 16 h versus DC cells stimulated with CpG DNA (TLR9 agonist) at 16 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_PAM3CSK4_VS_CPG_16H_BMDC_DN","SYSTEMATIC_NAME":"M3870","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1918_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with Pam3Csk4 (TLR1/2 agonist) at 16 h versus DC cells stimulated with CpG DNA (TLR9 agonist) at 16 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_PAM3CSK4_VS_CPG_24H_BMDC_UP","SYSTEMATIC_NAME":"M3874","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1919_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with Pam3Csk4 (TLR1/2 agonist) at 24 h versus DC cells stimulated with CpG DNA (TLR9 agonist) at 24 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_PAM3CSK4_VS_CPG_24H_BMDC_DN","SYSTEMATIC_NAME":"M3875","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1919_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with Pam3Csk4 (TLR1/2 agonist) at 24 h versus DC cells stimulated with CpG DNA (TLR9 agonist) at 24 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CPG_VS_GARDIQUIMOD_0.5H_BMDC_UP","SYSTEMATIC_NAME":"M3876","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1920_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with CpG DNA (TLR9 agonist) at 0.5 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 0.5 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CPG_VS_GARDIQUIMOD_0.5H_BMDC_DN","SYSTEMATIC_NAME":"M3877","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1920_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with CpG DNA (TLR9 agonist) at 0.5 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 0.5 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CPG_VS_GARDIQUIMOD_1H_BMDC_UP","SYSTEMATIC_NAME":"M3878","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1921_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with CpG DNA (TLR9 agonist) at 1 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 1 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CPG_VS_GARDIQUIMOD_1H_BMDC_DN","SYSTEMATIC_NAME":"M3880","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1921_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with CpG DNA (TLR9 agonist) at 1 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 1 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CPG_VS_GARDIQUIMOD_2H_BMDC_UP","SYSTEMATIC_NAME":"M3881","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1922_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with CpG DNA (TLR9 agonist) at 2 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 2 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CPG_VS_GARDIQUIMOD_2H_BMDC_DN","SYSTEMATIC_NAME":"M3882","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1922_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with CpG DNA (TLR9 agonist) at 2 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 2 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CPG_VS_GARDIQUIMOD_4H_BMDC_UP","SYSTEMATIC_NAME":"M3883","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1923_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with CpG DNA (TLR9 agonist) at 4 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 4 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CPG_VS_GARDIQUIMOD_4H_BMDC_DN","SYSTEMATIC_NAME":"M3885","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1923_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with CpG DNA (TLR9 agonist) at 4 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 4 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CPG_VS_GARDIQUIMOD_6H_BMDC_UP","SYSTEMATIC_NAME":"M3886","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1924_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with CpG DNA (TLR9 agonist) at 6 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 6 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CPG_VS_GARDIQUIMOD_6H_BMDC_DN","SYSTEMATIC_NAME":"M3891","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1924_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with CpG DNA (TLR9 agonist) at 6 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 6 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CPG_VS_GARDIQUIMOD_8H_BMDC_UP","SYSTEMATIC_NAME":"M3892","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1925_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with CpG DNA (TLR9 agonist) at 8 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 8 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CPG_VS_GARDIQUIMOD_8H_BMDC_DN","SYSTEMATIC_NAME":"M3893","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1925_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with CpG DNA (TLR9 agonist) at 8 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 8 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CPG_VS_GARDIQUIMOD_12H_BMDC_UP","SYSTEMATIC_NAME":"M3894","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1926_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with CpG DNA (TLR9 agonist) at 12 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 12 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CPG_VS_GARDIQUIMOD_12H_BMDC_DN","SYSTEMATIC_NAME":"M3895","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1926_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with CpG DNA (TLR9 agonist) at 12 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 12 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CPG_VS_GARDIQUIMOD_16H_BMDC_UP","SYSTEMATIC_NAME":"M3897","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1927_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with CpG DNA (TLR9 agonist) at 16 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 16 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CPG_VS_GARDIQUIMOD_16H_BMDC_DN","SYSTEMATIC_NAME":"M3899","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1927_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with CpG DNA (TLR9 agonist) at 16 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 16 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CPG_VS_GARDIQUIMOD_24H_BMDC_UP","SYSTEMATIC_NAME":"M3901","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1928_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with CpG DNA (TLR9 agonist) at 24 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 24 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_CPG_VS_GARDIQUIMOD_24H_BMDC_DN","SYSTEMATIC_NAME":"M3904","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1928_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with CpG DNA (TLR9 agonist) at 24 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 24 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_PAM3CSK4_0.5H_BMDC_UP","SYSTEMATIC_NAME":"M3906","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1929_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 0.5 h versus DC cells stimulated with Pam3Csk4 (TLR1/2 agonist) at 0.5 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_PAM3CSK4_0.5H_BMDC_DN","SYSTEMATIC_NAME":"M3907","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1929_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 0.5 h versus DC cells stimulated with Pam3Csk4 (TLR1/2 agonist) at 0.5 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_PAM3CSK4_1H_BMDC_UP","SYSTEMATIC_NAME":"M3908","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1930_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 1 h versus DC cells stimulated with Pam3Csk4 (TLR1/2 agonist) at 1 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_PAM3CSK4_1H_BMDC_DN","SYSTEMATIC_NAME":"M3912","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1930_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 1 h versus DC cells stimulated with Pam3Csk4 (TLR1/2 agonist) at 1 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_PAM3CSK4_2H_BMDC_UP","SYSTEMATIC_NAME":"M3913","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1931_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 2 h versus DC cells stimulated with Pam3Csk4 (TLR1/2 agonist) at 2 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_PAM3CSK4_2H_BMDC_DN","SYSTEMATIC_NAME":"M3914","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1931_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 2 h versus DC cells stimulated with Pam3Csk4 (TLR1/2 agonist) at 2 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_PAM3CSK4_4H_BMDC_UP","SYSTEMATIC_NAME":"M3915","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1932_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 4 h versus DC cells stimulated with Pam3Csk4 (TLR1/2 agonist) at 4 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_PAM3CSK4_4H_BMDC_DN","SYSTEMATIC_NAME":"M3917","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1932_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 4 h versus DC cells stimulated with Pam3Csk4 (TLR1/2 agonist) at 4 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_PAM3CSK4_6H_BMDC_UP","SYSTEMATIC_NAME":"M3918","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1933_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 6 h versus DC cells stimulated with Pam3Csk4 (TLR1/2 agonist) at 6 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_PAM3CSK4_6H_BMDC_DN","SYSTEMATIC_NAME":"M3919","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1933_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 6 h versus DC cells stimulated with Pam3Csk4 (TLR1/2 agonist) at 6 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_PAM3CSK4_8H_BMDC_UP","SYSTEMATIC_NAME":"M3920","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1934_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 8 h versus DC cells stimulated with Pam3Csk4 (TLR1/2 agonist) at 8 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_PAM3CSK4_8H_BMDC_DN","SYSTEMATIC_NAME":"M3921","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1934_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 8 h versus DC cells stimulated with Pam3Csk4 (TLR1/2 agonist) at 8 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_PAM3CSK4_12H_BMDC_UP","SYSTEMATIC_NAME":"M3925","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1935_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 12 h versus DC cells stimulated with Pam3Csk4 (TLR1/2 agonist) at 12 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_PAM3CSK4_12H_BMDC_DN","SYSTEMATIC_NAME":"M3926","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1935_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 12 h versus DC cells stimulated with Pam3Csk4 (TLR1/2 agonist) at 12 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_PAM3CSK4_16H_BMDC_UP","SYSTEMATIC_NAME":"M3927","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1936_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 16 h versus DC cells stimulated with Pam3Csk4 (TLR1/2 agonist) at 16 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_PAM3CSK4_16H_BMDC_DN","SYSTEMATIC_NAME":"M3929","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1936_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 16 h versus DC cells stimulated with Pam3Csk4 (TLR1/2 agonist) at 16 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_PAM3CSK4_24H_BMDC_UP","SYSTEMATIC_NAME":"M3930","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1937_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 24 h versus DC cells stimulated with Pam3Csk4 (TLR1/2 agonist) at 24 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_PAM3CSK4_24H_BMDC_DN","SYSTEMATIC_NAME":"M3931","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1937_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 24 h versus DC cells stimulated with Pam3Csk4 (TLR1/2 agonist) at 24 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_POLYIC_VS_CPG_0.5H_BMDC_UP","SYSTEMATIC_NAME":"M3932","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1938_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 0.5 h versus DC cells stimulated with CpG DNA (TLR9 agonist) at 0.5 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_POLYIC_VS_CPG_0.5H_BMDC_DN","SYSTEMATIC_NAME":"M3933","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1938_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 0.5 h versus DC cells stimulated with CpG DNA (TLR9 agonist) at 0.5 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_POLYIC_VS_CPG_1H_BMDC_UP","SYSTEMATIC_NAME":"M3934","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1939_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 1 h versus DC cells stimulated with CpG DNA (TLR9 agonist) at 1 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_POLYIC_VS_CPG_1H_BMDC_DN","SYSTEMATIC_NAME":"M3936","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1939_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 1 h versus DC cells stimulated with CpG DNA (TLR9 agonist) at 1 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_POLYIC_VS_CPG_2H_BMDC_UP","SYSTEMATIC_NAME":"M3937","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1940_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 2 h versus DC cells stimulated with CpG DNA (TLR9 agonist) at 2 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_POLYIC_VS_CPG_2H_BMDC_DN","SYSTEMATIC_NAME":"M3939","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1940_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 2 h versus DC cells stimulated with CpG DNA (TLR9 agonist) at 2 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_POLYIC_VS_CPG_4H_BMDC_UP","SYSTEMATIC_NAME":"M3940","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1941_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 4 h versus DC cells stimulated with CpG DNA (TLR9 agonist) at 4 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_POLYIC_VS_CPG_4H_BMDC_DN","SYSTEMATIC_NAME":"M3942","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1941_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 4 h versus DC cells stimulated with CpG DNA (TLR9 agonist) at 4 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_POLYIC_VS_CPG_6H_BMDC_UP","SYSTEMATIC_NAME":"M3943","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1942_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 6 h versus DC cells stimulated with CpG DNA (TLR9 agonist) at 6 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_POLYIC_VS_CPG_6H_BMDC_DN","SYSTEMATIC_NAME":"M3944","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1942_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 6 h versus DC cells stimulated with CpG DNA (TLR9 agonist) at 6 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_POLYIC_VS_CPG_8H_BMDC_UP","SYSTEMATIC_NAME":"M3945","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1943_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 8 h versus DC cells stimulated with CpG DNA (TLR9 agonist) at 8 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_POLYIC_VS_CPG_8H_BMDC_DN","SYSTEMATIC_NAME":"M3947","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1943_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 8 h versus DC cells stimulated with CpG DNA (TLR9 agonist) at 8 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_POLYIC_VS_CPG_12H_BMDC_UP","SYSTEMATIC_NAME":"M3948","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1944_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 12 h versus DC cells stimulated with CpG DNA (TLR9 agonist) at 12 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_POLYIC_VS_CPG_12H_BMDC_DN","SYSTEMATIC_NAME":"M3949","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1944_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 12 h versus DC cells stimulated with CpG DNA (TLR9 agonist) at 12 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_POLYIC_VS_CPG_16H_BMDC_UP","SYSTEMATIC_NAME":"M3950","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1945_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 16 h versus DC cells stimulated with CpG DNA (TLR9 agonist) at 16 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_POLYIC_VS_CPG_16H_BMDC_DN","SYSTEMATIC_NAME":"M3951","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1945_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 16 h versus DC cells stimulated with CpG DNA (TLR9 agonist) at 16 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_POLYIC_VS_CPG_24H_BMDC_UP","SYSTEMATIC_NAME":"M3953","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1946_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 24 h versus DC cells stimulated with CpG DNA (TLR9 agonist) at 24 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_POLYIC_VS_CPG_24H_BMDC_DN","SYSTEMATIC_NAME":"M3954","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1946_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 24 h versus DC cells stimulated with CpG DNA (TLR9 agonist) at 24 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_PAM3CSK4_VS_GADIQUIMOD_0.5H_BMDC_UP","SYSTEMATIC_NAME":"M3957","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1947_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with Pam3Csk4 (TLR1/2 agonist) at 0.5 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 0.5 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_PAM3CSK4_VS_GADIQUIMOD_0.5H_BMDC_DN","SYSTEMATIC_NAME":"M3960","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1947_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with Pam3Csk4 (TLR1/2 agonist) at 0.5 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 0.5 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_PAM3CSK4_VS_GADIQUIMOD_1H_BMDC_UP","SYSTEMATIC_NAME":"M3962","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1948_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with Pam3Csk4 (TLR1/2 agonist) at 1 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 1 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_PAM3CSK4_VS_GADIQUIMOD_1H_BMDC_DN","SYSTEMATIC_NAME":"M3963","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1948_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with Pam3Csk4 (TLR1/2 agonist) at 1 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 1 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_PAM3CSK4_VS_GADIQUIMOD_2H_BMDC_UP","SYSTEMATIC_NAME":"M3964","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1949_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with Pam3Csk4 (TLR1/2 agonist) at 2 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 2 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_PAM3CSK4_VS_GADIQUIMOD_2H_BMDC_DN","SYSTEMATIC_NAME":"M3965","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1949_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with Pam3Csk4 (TLR1/2 agonist) at 2 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 2 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_PAM3CSK4_VS_GADIQUIMOD_4H_BMDC_UP","SYSTEMATIC_NAME":"M3968","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1950_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with Pam3Csk4 (TLR1/2 agonist) at 4 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 4 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_PAM3CSK4_VS_GADIQUIMOD_4H_BMDC_DN","SYSTEMATIC_NAME":"M3969","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1950_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with Pam3Csk4 (TLR1/2 agonist) at 4 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 4 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_PAM3CSK4_VS_GADIQUIMOD_6H_BMDC_UP","SYSTEMATIC_NAME":"M3970","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1951_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with Pam3Csk4 (TLR1/2 agonist) at 6 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 6 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_PAM3CSK4_VS_GADIQUIMOD_6H_BMDC_DN","SYSTEMATIC_NAME":"M3971","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1951_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with Pam3Csk4 (TLR1/2 agonist) at 6 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 6 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_PAM3CSK4_VS_GADIQUIMOD_8H_BMDC_UP","SYSTEMATIC_NAME":"M3972","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1952_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with Pam3Csk4 (TLR1/2 agonist) at 8 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 8 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_PAM3CSK4_VS_GADIQUIMOD_8H_BMDC_DN","SYSTEMATIC_NAME":"M3973","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1952_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with Pam3Csk4 (TLR1/2 agonist) at 8 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 8 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_PAM3CSK4_VS_GADIQUIMOD_12H_BMDC_UP","SYSTEMATIC_NAME":"M3974","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1953_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with Pam3Csk4 (TLR1/2 agonist) at 12 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 12 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_PAM3CSK4_VS_GADIQUIMOD_12H_BMDC_DN","SYSTEMATIC_NAME":"M3975","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1953_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with Pam3Csk4 (TLR1/2 agonist) at 12 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 12 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_PAM3CSK4_VS_GADIQUIMOD_16H_BMDC_UP","SYSTEMATIC_NAME":"M3976","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1954_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with Pam3Csk4 (TLR1/2 agonist) at 16 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 16 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_PAM3CSK4_VS_GADIQUIMOD_16H_BMDC_DN","SYSTEMATIC_NAME":"M3978","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1954_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with Pam3Csk4 (TLR1/2 agonist) at 16 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 16 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_PAM3CSK4_VS_GADIQUIMOD_24H_BMDC_UP","SYSTEMATIC_NAME":"M3979","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1955_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with Pam3Csk4 (TLR1/2 agonist) at 24 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 24 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_PAM3CSK4_VS_GADIQUIMOD_24H_BMDC_DN","SYSTEMATIC_NAME":"M3981","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1955_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with Pam3Csk4 (TLR1/2 agonist) at 24 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 24 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_CPG_0.5H_BMDC_UP","SYSTEMATIC_NAME":"M3982","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1956_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 0.5 h versus DC cells stimulated with CpG DNA (TLR9 agonist) at 0.5 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_CPG_0.5H_BMDC_DN","SYSTEMATIC_NAME":"M3983","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1956_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 0.5 h versus DC cells stimulated with CpG DNA (TLR9 agonist) at 0.5 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_CPG_1H_BMDC_UP","SYSTEMATIC_NAME":"M3984","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1957_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 1 h versus DC cells stimulated with CpG DNA (TLR9 agonist) at 1 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_CPG_1H_BMDC_DN","SYSTEMATIC_NAME":"M3987","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1957_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 1 h versus DC cells stimulated with CpG DNA (TLR9 agonist) at 1 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_CPG_2H_BMDC_UP","SYSTEMATIC_NAME":"M3989","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1958_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 2 h versus DC cells stimulated with CpG DNA (TLR9 agonist) at 2 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_CPG_2H_BMDC_DN","SYSTEMATIC_NAME":"M3991","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1958_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 2 h versus DC cells stimulated with CpG DNA (TLR9 agonist) at 2 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_CPG_4H_BMDC_UP","SYSTEMATIC_NAME":"M3995","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1959_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 4 h versus DC cells stimulated with CpG DNA (TLR9 agonist) at 4 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_CPG_4H_BMDC_DN","SYSTEMATIC_NAME":"M3997","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1959_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 4 h versus DC cells stimulated with CpG DNA (TLR9 agonist) at 4 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_CPG_6H_BMDC_UP","SYSTEMATIC_NAME":"M3998","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1960_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 6 h versus DC cells stimulated with CpG DNA (TLR9 agonist) at 6 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_CPG_6H_BMDC_DN","SYSTEMATIC_NAME":"M3999","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1960_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 6 h versus DC cells stimulated with CpG DNA (TLR9 agonist) at 6 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_CPG_8H_BMDC_UP","SYSTEMATIC_NAME":"M4003","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1961_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 8 h versus DC cells stimulated with CpG DNA (TLR9 agonist) at 8 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_CPG_8H_BMDC_DN","SYSTEMATIC_NAME":"M4004","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1961_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 8 h versus DC cells stimulated with CpG DNA (TLR9 agonist) at 8 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_CPG_12H_BMDC_UP","SYSTEMATIC_NAME":"M4005","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1962_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 12 h versus DC cells stimulated with CpG DNA (TLR9 agonist) at 12 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_CPG_12H_BMDC_DN","SYSTEMATIC_NAME":"M4006","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1962_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 12 h versus DC cells stimulated with CpG DNA (TLR9 agonist) at 12 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_CPG_16H_BMDC_UP","SYSTEMATIC_NAME":"M4007","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1963_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 16 h versus DC cells stimulated with CpG DNA (TLR9 agonist) at 16 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_CPG_16H_BMDC_DN","SYSTEMATIC_NAME":"M4009","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1963_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 16 h versus DC cells stimulated with CpG DNA (TLR9 agonist) at 16 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_CPG_24H_BMDC_UP","SYSTEMATIC_NAME":"M4010","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1964_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 24 h versus DC cells stimulated with CpG DNA (TLR9 agonist) at 24 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_CPG_24H_BMDC_DN","SYSTEMATIC_NAME":"M4011","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1964_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 24 h versus DC cells stimulated with CpG DNA (TLR9 agonist) at 24 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_POLYIC_VS_GARDIQUIMOD_0.5H_BMDC_UP","SYSTEMATIC_NAME":"M4012","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1965_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 0.5 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 0.5 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_POLYIC_VS_GARDIQUIMOD_0.5H_BMDC_DN","SYSTEMATIC_NAME":"M4015","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1965_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 0.5 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 0.5 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_POLYIC_VS_GARDIQUIMOD_1H_BMDC_UP","SYSTEMATIC_NAME":"M4016","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1966_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 1 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 1 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_POLYIC_VS_GARDIQUIMOD_1H_BMDC_DN","SYSTEMATIC_NAME":"M4017","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1966_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 1 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 1 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_POLYIC_VS_GARDIQUIMOD_2H_BMDC_UP","SYSTEMATIC_NAME":"M4018","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1967_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 2 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 2 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_POLYIC_VS_GARDIQUIMOD_2H_BMDC_DN","SYSTEMATIC_NAME":"M4020","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1967_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 2 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 2 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_POLYIC_VS_GARDIQUIMOD_4H_BMDC_UP","SYSTEMATIC_NAME":"M4021","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1968_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 4 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 4 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_POLYIC_VS_GARDIQUIMOD_4H_BMDC_DN","SYSTEMATIC_NAME":"M4022","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1968_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 4 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 4 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_POLYIC_VS_GARDIQUIMOD_6H_BMDC_UP","SYSTEMATIC_NAME":"M4024","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1969_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 6 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 6 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_POLYIC_VS_GARDIQUIMOD_6H_BMDC_DN","SYSTEMATIC_NAME":"M4025","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1969_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 6 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 6 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_POLYIC_VS_GARDIQUIMOD_8H_BMDC_UP","SYSTEMATIC_NAME":"M4026","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1970_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 8 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 8 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_POLYIC_VS_GARDIQUIMOD_8H_BMDC_DN","SYSTEMATIC_NAME":"M4027","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1970_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 8 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 8 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_POLYIC_VS_GARDIQUIMOD_12H_BMDC_UP","SYSTEMATIC_NAME":"M4028","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1971_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 12 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 12 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_POLYIC_VS_GARDIQUIMOD_12H_BMDC_DN","SYSTEMATIC_NAME":"M4030","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1971_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 12 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 12 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_POLYIC_VS_GARDIQUIMOD_16H_BMDC_UP","SYSTEMATIC_NAME":"M4031","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1972_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 16 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 16 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_POLYIC_VS_GARDIQUIMOD_16H_BMDC_DN","SYSTEMATIC_NAME":"M4032","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1972_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 16 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 16 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_POLYIC_VS_GARDIQUIMOD_24H_BMDC_UP","SYSTEMATIC_NAME":"M4033","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1973_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 24 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 24 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_POLYIC_VS_GARDIQUIMOD_24H_BMDC_DN","SYSTEMATIC_NAME":"M4036","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1973_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 24 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 24 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_GARDIQUIMOD_0.5H_BMDC_UP","SYSTEMATIC_NAME":"M4037","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1974_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 0.5 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 0.5 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_GARDIQUIMOD_0.5H_BMDC_DN","SYSTEMATIC_NAME":"M4039","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1974_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 0.5 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 0.5 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_GARDIQUIMOD_1H_BMDC_UP","SYSTEMATIC_NAME":"M4040","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1975_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 1 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 1 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_GARDIQUIMOD_1H_BMDC_DN","SYSTEMATIC_NAME":"M4041","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1975_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 1 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 1 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_GARDIQUIMOD_2H_BMDC_UP","SYSTEMATIC_NAME":"M4043","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1976_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 2 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 2 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_GARDIQUIMOD_2H_BMDC_DN","SYSTEMATIC_NAME":"M4044","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1976_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 2 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 2 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_GARDIQUIMOD_4H_BMDC_UP","SYSTEMATIC_NAME":"M4048","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1977_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 4 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 4 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_GARDIQUIMOD_4H_BMDC_DN","SYSTEMATIC_NAME":"M4049","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1977_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 4 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 4 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_GARDIQUIMOD_6H_BMDC_UP","SYSTEMATIC_NAME":"M4050","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1978_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 6 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 6 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_GARDIQUIMOD_6H_BMDC_DN","SYSTEMATIC_NAME":"M4055","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1978_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 6 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 6 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_GARDIQUIMOD_8H_BMDC_UP","SYSTEMATIC_NAME":"M4056","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1979_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 8 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 8 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_GARDIQUIMOD_8H_BMDC_DN","SYSTEMATIC_NAME":"M4057","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1979_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 8 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 8 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_GARDIQUIMOD_12H_BMDC_UP","SYSTEMATIC_NAME":"M4058","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1980_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 12 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 12 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_GARDIQUIMOD_12H_BMDC_DN","SYSTEMATIC_NAME":"M4059","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1980_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 12 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 12 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_GARDIQUIMOD_16H_BMDC_UP","SYSTEMATIC_NAME":"M4060","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1981_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 16 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 16 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_GARDIQUIMOD_16H_BMDC_DN","SYSTEMATIC_NAME":"M4062","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1981_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 16 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 16 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_GARDIQUIMOD_24H_BMDC_UP","SYSTEMATIC_NAME":"M4063","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1982_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 24 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 24 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_LPS_VS_GARDIQUIMOD_24H_BMDC_DN","SYSTEMATIC_NAME":"M4066","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1982_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 24 h versus DC cells stimulated with Gardiquimod (TLR7 agonist) at 24 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_0.5H_VS_12H_LPS_BMDC_UP","SYSTEMATIC_NAME":"M4067","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1983_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 0.5 h versus those stimulated at 12 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_0.5H_VS_12H_LPS_BMDC_DN","SYSTEMATIC_NAME":"M4069","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1983_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 0.5 h versus those stimulated at 12 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_0.5H_VS_4H_LPS_BMDC_UP","SYSTEMATIC_NAME":"M4070","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1984_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 0.5 h versus those stimulated at 4 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_0.5H_VS_4H_LPS_BMDC_DN","SYSTEMATIC_NAME":"M4073","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1984_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 0.5 h versus those stimulated at 4 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_0.5H_VS_8H_LPS_BMDC_UP","SYSTEMATIC_NAME":"M4074","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1985_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 0.5 h versus those stimulated at 8 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_0.5H_VS_8H_LPS_BMDC_DN","SYSTEMATIC_NAME":"M4075","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1985_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 0.5 h versus those stimulated at 8 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_0.5H_VS_24H_LPS_BMDC_UP","SYSTEMATIC_NAME":"M4079","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1986_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 0.5 h versus those stimulated at 24 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_0.5H_VS_24H_LPS_BMDC_DN","SYSTEMATIC_NAME":"M4080","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1986_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 0.5 h versus those stimulated at 24 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_12H_VS_24H_LPS_BMDC_UP","SYSTEMATIC_NAME":"M4081","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1988_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 12 h versus those stimulated at 24 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_12H_VS_24H_LPS_BMDC_DN","SYSTEMATIC_NAME":"M4083","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1988_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 12 h versus those stimulated at 24 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_0.5H_VS_12H_POLYIC_BMDC_UP","SYSTEMATIC_NAME":"M4084","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1989_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 0.5 h versus those stimulated at 4 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_0.5H_VS_12H_POLYIC_BMDC_DN","SYSTEMATIC_NAME":"M4087","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1989_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 0.5 h versus those stimulated at 4 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_0.5H_VS_4H_POLYIC_BMDC_UP","SYSTEMATIC_NAME":"M4089","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1990_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 0.5 h versus those stimulated at 8 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_0.5H_VS_4H_POLYIC_BMDC_DN","SYSTEMATIC_NAME":"M4091","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1990_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 0.5 h versus those stimulated at 8 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_0.5H_VS_8H_POLYIC_BMDC_UP","SYSTEMATIC_NAME":"M4093","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1991_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 0.5 h versus those stimulated at 8 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_0.5H_VS_8H_POLYIC_BMDC_DN","SYSTEMATIC_NAME":"M4094","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1991_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 0.5 h versus those stimulated at 8 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_0.5H_VS_24H_POLYIC_BMDC_UP","SYSTEMATIC_NAME":"M4096","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1992_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 0.5 h versus those stimulated at 24 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_0.5H_VS_24H_POLYIC_BMDC_DN","SYSTEMATIC_NAME":"M4097","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1992_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 0.5 h versus those stimulated at 24 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_4H_VS_24H_POLYIC_BMDC_UP","SYSTEMATIC_NAME":"M4098","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1993_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 4 h versus those stimulated at 24 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_4H_VS_24H_POLYIC_BMDC_DN","SYSTEMATIC_NAME":"M4099","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1993_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 4 h versus those stimulated at 24 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_12H_VS_24H_POLYIC_BMDC_UP","SYSTEMATIC_NAME":"M4101","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1994_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 12 h versus those stimulated at 24 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_12H_VS_24H_POLYIC_BMDC_DN","SYSTEMATIC_NAME":"M4102","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1994_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with poly(I:C) (TLR3 agonist) at 12 h versus those stimulated at 24 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_0.5H_VS_12H_PAM3CSK4_BMDC_UP","SYSTEMATIC_NAME":"M4103","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1995_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with Pam3Csk4 (TLR1/2 agonist) at 0.5 h versus those stimulated at 12 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_0.5H_VS_12H_PAM3CSK4_BMDC_DN","SYSTEMATIC_NAME":"M4104","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1995_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with Pam3Csk4 (TLR1/2 agonist) at 0.5 h versus those stimulated at 12 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_0.5H_VS_4H_PAM3CSK4_BMDC_UP","SYSTEMATIC_NAME":"M4105","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1996_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with Pam3Csk4 (TLR1/2 agonist) at 0.5 h versus those stimulated at 4 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_0.5H_VS_4H_PAM3CSK4_BMDC_DN","SYSTEMATIC_NAME":"M4108","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1996_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with Pam3Csk4 (TLR1/2 agonist) at 0.5 h versus those stimulated at 4 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_0.5H_VS_8H_PAM3CSK4_BMDC_UP","SYSTEMATIC_NAME":"M4110","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1997_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with Pam3Csk4 (TLR1/2 agonist) at 0.5 h versus those stimulated at 8 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_0.5H_VS_8H_PAM3CSK4_BMDC_DN","SYSTEMATIC_NAME":"M4111","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1997_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with Pam3Csk4 (TLR1/2 agonist) at 0.5 h versus those stimulated at 8 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_0.5H_VS_24H_PAM3CSK4_BMDC_UP","SYSTEMATIC_NAME":"M4112","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1998_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with Pam3Csk4 (TLR1/2 agonist) at 0.5 h versus those stimulated at 24 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_0.5H_VS_24H_PAM3CSK4_BMDC_DN","SYSTEMATIC_NAME":"M4114","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1998_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with Pam3Csk4 (TLR1/2 agonist) at 0.5 h versus those stimulated at 24 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_ALL_VS_24H_PAM3CSK4_BMDC_UP","SYSTEMATIC_NAME":"M4115","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1999_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with Pam3Csk4 (TLR1/2 agonist) at all time points versus those stimulated with Pam3Csk4 (TLR1/2 agonist) at 24 h only.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_ALL_VS_24H_PAM3CSK4_BMDC_DN","SYSTEMATIC_NAME":"M4116","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_1999_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with Pam3Csk4 (TLR1/2 agonist) at all time points versus those stimulated with Pam3Csk4 (TLR1/2 agonist) at 24 h only.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_12H_VS_24H_PAM3CSK4_BMDC_UP","SYSTEMATIC_NAME":"M4117","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_2000_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with Pam3Csk4 (TLR1/2 agonist) at 12 h versus those stimulated with Pam3Csk4 (TLR1/2 agonist) at 24 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_12H_VS_24H_PAM3CSK4_BMDC_DN","SYSTEMATIC_NAME":"M4118","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_2000_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with Pam3Csk4 (TLR1/2 agonist) at 12 h versus those stimulated with Pam3Csk4 (TLR1/2 agonist) at 24 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_0.5H_VS_12H_CPG_BMDC_UP","SYSTEMATIC_NAME":"M4119","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_2001_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with CpG DNA (TLR9 agonist) at 0.5 h versus those stimulated with CpG DNA (TLR9 agonist) at 12 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_0.5H_VS_12H_CPG_BMDC_DN","SYSTEMATIC_NAME":"M4122","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_2001_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with CpG DNA (TLR9 agonist) at 0.5 h versus those stimulated with CpG DNA (TLR9 agonist) at 12 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_0.5H_VS_4H_CPG_BMDC_UP","SYSTEMATIC_NAME":"M4124","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_2002_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with CpG DNA (TLR9 agonist) at 0.5 h versus those stimulated with CpG DNA (TLR9 agonist) at 4 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_0.5H_VS_4H_CPG_BMDC_DN","SYSTEMATIC_NAME":"M4125","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_2002_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with CpG DNA (TLR9 agonist) at 0.5 h versus those stimulated with CpG DNA (TLR9 agonist) at 4 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_0.5H_VS_8H_CPG_BMDC_UP","SYSTEMATIC_NAME":"M4126","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_2003_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with CpG DNA (TLR9 agonist) at 0.5 h versus those stimulated with CpG DNA (TLR9 agonist) at 8 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_0.5H_VS_8H_CPG_BMDC_DN","SYSTEMATIC_NAME":"M4127","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_2003_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with CpG DNA (TLR9 agonist) at 0.5 h versus those stimulated with CpG DNA (TLR9 agonist) at 8 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_0.5H_VS_24H_CPG_BMDC_UP","SYSTEMATIC_NAME":"M4128","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_2004_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with CpG DNA (TLR9 agonist) at 0.5 h versus those stimulated with CpG DNA (TLR9 agonist) at 24 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_0.5H_VS_24H_CPG_BMDC_DN","SYSTEMATIC_NAME":"M4129","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_2004_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with CpG DNA (TLR9 agonist) at 0.5 h versus those stimulated with CpG DNA (TLR9 agonist) at 24 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_4_VS_24H_CPG_BMDC_UP","SYSTEMATIC_NAME":"M4130","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_2005_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with CpG DNA (TLR9 agonist) at 4 h versus those stimulated with CpG DNA (TLR9 agonist) at 24 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_4_VS_24H_CPG_BMDC_DN","SYSTEMATIC_NAME":"M4131","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_2005_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with CpG DNA (TLR9 agonist) at 4 h versus those stimulated with CpG DNA (TLR9 agonist) at 24 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_12H_VS_24H_CPG_BMDC_UP","SYSTEMATIC_NAME":"M4132","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_2006_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with CpG DNA (TLR9 agonist) at 12 h versus those stimulated with CpG DNA (TLR9 agonist) at 24 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_12H_VS_24H_CPG_BMDC_DN","SYSTEMATIC_NAME":"M4133","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_2006_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with CpG DNA (TLR9 agonist) at 12 h versus those stimulated with CpG DNA (TLR9 agonist) at 24 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_0.5H_VS_12H_GARDIQUIMOD_BMDC_UP","SYSTEMATIC_NAME":"M4135","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_2007_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with Gardiquimod (TLR7 agonist) at 0.5 h versus those stimulated with Gardiquimod (TLR7 agonist) at 12 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_0.5H_VS_12H_GARDIQUIMOD_BMDC_DN","SYSTEMATIC_NAME":"M4136","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_2007_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with Gardiquimod (TLR7 agonist) at 0.5 h versus those stimulated with Gardiquimod (TLR7 agonist) at 12 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_0.5H_VS_4H_GARDIQUIMOD_BMDC_UP","SYSTEMATIC_NAME":"M4139","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_2008_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with Gardiquimod (TLR7 agonist) at 0.5 h versus those stimulated with Gardiquimod (TLR7 agonist) at 4 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_0.5H_VS_4H_GARDIQUIMOD_BMDC_DN","SYSTEMATIC_NAME":"M4140","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_2008_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with Gardiquimod (TLR7 agonist) at 0.5 h versus those stimulated with Gardiquimod (TLR7 agonist) at 4 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_0.5H_VS_8H_GARDIQUIMOD_BMDC_UP","SYSTEMATIC_NAME":"M4141","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_2009_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with Gardiquimod (TLR7 agonist) at 0.5 h versus those stimulated with Gardiquimod (TLR7 agonist) at 8 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_0.5H_VS_8H_GARDIQUIMOD_BMDC_DN","SYSTEMATIC_NAME":"M4142","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_2009_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with Gardiquimod (TLR7 agonist) at 0.5 h versus those stimulated with Gardiquimod (TLR7 agonist) at 8 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_0.5H_VS_24H_GARDIQUIMOD_BMDC_UP","SYSTEMATIC_NAME":"M4143","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_2010_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with Gardiquimod (TLR7 agonist) at 0.5 h versus those stimulated with Gardiquimod (TLR7 agonist) at 24 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_0.5H_VS_24H_GARDIQUIMOD_BMDC_DN","SYSTEMATIC_NAME":"M4145","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_2010_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with Gardiquimod (TLR7 agonist) at 0.5 h versus those stimulated with Gardiquimod (TLR7 agonist) at 24 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_4_VS_24H_GARDIQUIMOD_BMDC_UP","SYSTEMATIC_NAME":"M4146","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_2011_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with Gardiquimod (TLR7 agonist) at 4 h versus those stimulated with Gardiquimod (TLR7 agonist) at 24 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_4_VS_24H_GARDIQUIMOD_BMDC_DN","SYSTEMATIC_NAME":"M4147","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_2011_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with Gardiquimod (TLR7 agonist) at 4 h versus those stimulated with Gardiquimod (TLR7 agonist) at 24 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_12H_VS_24H_GARDIQUIMOD_BMDC_UP","SYSTEMATIC_NAME":"M4148","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_2012_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with Gardiquimod (TLR7 agonist) at 12 h versus those stimulated with Gardiquimod (TLR7 agonist) at 24 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17721_12H_VS_24H_GARDIQUIMOD_BMDC_DN","SYSTEMATIC_NAME":"M4150","ORGANISM":"Mus musculus","PMID":"19729616","AUTHORS":"Amit I,Garber M,Chevrier N,Leite AP,Donner Y,Eisenhaure T,Guttman M,Grenier JK,Li W,Zuk O,Schubert LA,Birditt B,Shay T,Goren A,Zhang X,Smith Z,Deering R,McDonald RC,Cabili M,Bernstein BE,Rinn JL,Meissner A,Root DE,Hacohen N,Regev A.","GEOID":"GSE17721","EXACT_SOURCE":"GSE17721_2012_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with Gardiquimod (TLR7 agonist) at 12 h versus those stimulated with Gardiquimod (TLR7 agonist) at 24 h.","DESCRIPTION_FULL":"mouse primary BMDCs were stimulated with tlr ligands and gene expression changes were profiled on Affymetrix arrays"}
{"STANDARD_NAME":"GSE17974_0H_VS_0.5H_IN_VITRO_ACT_CD4_TCELL_UP","SYSTEMATIC_NAME":"M4152","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1179_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated CD4 [GeneID=920] T cells at 0 h versus the untreated cells at 0.5 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_0H_VS_0.5H_IN_VITRO_ACT_CD4_TCELL_DN","SYSTEMATIC_NAME":"M4154","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1179_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated CD4 [GeneID=920] T cells at 0 h versus the untreated cells at 0.5 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_0H_VS_1H_IN_VITRO_ACT_CD4_TCELL_UP","SYSTEMATIC_NAME":"M4156","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1180_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated CD4 [GeneID=920] T cells at 0 h versus the untreated cells at 1 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_0H_VS_1H_IN_VITRO_ACT_CD4_TCELL_DN","SYSTEMATIC_NAME":"M4157","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1180_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated CD4 [GeneID=920] T cells at 0 h versus the untreated cells at 1 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_0H_VS_2H_IN_VITRO_ACT_CD4_TCELL_UP","SYSTEMATIC_NAME":"M4158","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1181_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated CD4 [GeneID=920] T cells at 0 h versus the untreated cells at 2 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_0H_VS_2H_IN_VITRO_ACT_CD4_TCELL_DN","SYSTEMATIC_NAME":"M4159","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1181_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated CD4 [GeneID=920] T cells at 0 h versus the untreated cells at 2 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_0H_VS_4H_IN_VITRO_ACT_CD4_TCELL_UP","SYSTEMATIC_NAME":"M4160","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1182_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated CD4 [GeneID=920] T cells at 0 h versus the untreated cells at 4 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_0H_VS_4H_IN_VITRO_ACT_CD4_TCELL_DN","SYSTEMATIC_NAME":"M4161","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1182_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated CD4 [GeneID=920] T cells at 0 h versus the untreated cells at 4 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_0H_VS_6H_IN_VITRO_ACT_CD4_TCELL_UP","SYSTEMATIC_NAME":"M4164","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1183_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated CD4 [GeneID=920] T cells at 0 h versus the untreated cells at 6 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_0H_VS_6H_IN_VITRO_ACT_CD4_TCELL_DN","SYSTEMATIC_NAME":"M4166","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1183_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated CD4 [GeneID=920] T cells at 0 h versus the untreated cells at 6 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_0H_VS_12H_IN_VITRO_ACT_CD4_TCELL_UP","SYSTEMATIC_NAME":"M4167","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1184_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated CD4 [GeneID=920] T cells at 0 h versus the untreated cells at 12 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_0H_VS_12H_IN_VITRO_ACT_CD4_TCELL_DN","SYSTEMATIC_NAME":"M4168","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1184_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated CD4 [GeneID=920] T cells at 0 h versus the untreated cells at 12 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_0H_VS_24H_IN_VITRO_ACT_CD4_TCELL_UP","SYSTEMATIC_NAME":"M4169","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1185_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated CD4 [GeneID=920] T cells at 0 h versus the untreated cells at 24 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_0H_VS_24H_IN_VITRO_ACT_CD4_TCELL_DN","SYSTEMATIC_NAME":"M4173","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1185_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated CD4 [GeneID=920] T cells at 0 h versus the untreated cells at 24 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_0H_VS_48H_IN_VITRO_ACT_CD4_TCELL_UP","SYSTEMATIC_NAME":"M4174","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1186_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated CD4 [GeneID=920] T cells at 0 h versus the untreated cells at 48 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_0H_VS_48H_IN_VITRO_ACT_CD4_TCELL_DN","SYSTEMATIC_NAME":"M4176","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1186_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated CD4 [GeneID=920] T cells at 0 h versus the untreated cells at 48 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_0H_VS_72H_IN_VITRO_ACT_CD4_TCELL_UP","SYSTEMATIC_NAME":"M4177","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1187_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated CD4 [GeneID=920] T cells at 0 h versus the untreated cells at 72 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_0H_VS_72H_IN_VITRO_ACT_CD4_TCELL_DN","SYSTEMATIC_NAME":"M4178","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1187_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated CD4 [GeneID=920] T cells at 0 h versus the untreated cells at 72 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_CTRL_VS_ACT_IL4_AND_ANTI_IL12_0.5H_CD4_TCELL_UP","SYSTEMATIC_NAME":"M4179","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1188_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated CD4 [GeneID=920] T cells at 0 h versus the cells treated with IL4 [GeneID=3565] and anti-IL12 at 0.5 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_CTRL_VS_ACT_IL4_AND_ANTI_IL12_0.5H_CD4_TCELL_DN","SYSTEMATIC_NAME":"M4180","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1188_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated CD4 [GeneID=920] T cells at 0 h versus the cells treated with IL4 [GeneID=3565] and anti-IL12 at 0.5 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_CTRL_VS_ACT_IL4_AND_ANTI_IL12_1H_CD4_TCELL_UP","SYSTEMATIC_NAME":"M4181","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1189_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated CD4 [GeneID=920] T cells at 0 h versus the cells treated with IL4 [GeneID=3565] and anti-IL12 at 1 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_CTRL_VS_ACT_IL4_AND_ANTI_IL12_1H_CD4_TCELL_DN","SYSTEMATIC_NAME":"M4182","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1189_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated CD4 [GeneID=920] T cells at 0 h versus the cells treated with IL4 [GeneID=3565] and anti-IL12 at 1 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_CTRL_VS_ACT_IL4_AND_ANTI_IL12_2H_CD4_TCELL_UP","SYSTEMATIC_NAME":"M4185","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1190_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated CD4 [GeneID=920] T cells at 0 h versus the cells treated with IL4 [GeneID=3565] and anti-IL12 at 2 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_CTRL_VS_ACT_IL4_AND_ANTI_IL12_2H_CD4_TCELL_DN","SYSTEMATIC_NAME":"M4186","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1190_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated CD4 [GeneID=920] T cells at 0 h versus the cells treated with IL4 [GeneID=3565] and anti-IL12 at 2 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_CTRL_VS_ACT_IL4_AND_ANTI_IL12_4H_CD4_TCELL_UP","SYSTEMATIC_NAME":"M4187","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1191_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated CD4 [GeneID=920] T cells at 0 h versus the cells treated with IL4 [GeneID=3565] and anti-IL12 at 4 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_CTRL_VS_ACT_IL4_AND_ANTI_IL12_4H_CD4_TCELL_DN","SYSTEMATIC_NAME":"M4188","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1191_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated CD4 [GeneID=920] T cells at 0 h versus the cells treated with IL4 [GeneID=3565] and anti-IL12 at 4 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_CTRL_VS_ACT_IL4_AND_ANTI_IL12_6H_CD4_TCELL_UP","SYSTEMATIC_NAME":"M4189","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1192_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated CD4 [GeneID=920] T cells at 0 h versus the cells treated with IL4 [GeneID=3565] and anti-IL12 at 6 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_CTRL_VS_ACT_IL4_AND_ANTI_IL12_6H_CD4_TCELL_DN","SYSTEMATIC_NAME":"M4190","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1192_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated CD4 [GeneID=920] T cells at 0 h versus the cells treated with IL4 [GeneID=3565] and anti-IL12 at 6 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_CTRL_VS_ACT_IL4_AND_ANTI_IL12_12H_CD4_TCELL_UP","SYSTEMATIC_NAME":"M4192","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1193_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated CD4 [GeneID=920] T cells at 0 h versus the cells treated with IL4 [GeneID=3565] and anti-IL12 at 12 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_CTRL_VS_ACT_IL4_AND_ANTI_IL12_12H_CD4_TCELL_DN","SYSTEMATIC_NAME":"M4194","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1193_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated CD4 [GeneID=920] T cells at 0 h versus the cells treated with IL4 [GeneID=3565] and anti-IL12 at 12 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_CTRL_VS_ACT_IL4_AND_ANTI_IL12_24H_CD4_TCELL_UP","SYSTEMATIC_NAME":"M4195","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1194_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated CD4 [GeneID=920] T cells at 0 h versus the cells treated with IL4 [GeneID=3565] and anti-IL12 at 24 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_CTRL_VS_ACT_IL4_AND_ANTI_IL12_24H_CD4_TCELL_DN","SYSTEMATIC_NAME":"M4197","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1194_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated CD4 [GeneID=920] T cells at 0 h versus the cells treated with IL4 [GeneID=3565] and anti-IL12 at 24 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_CTRL_VS_ACT_IL4_AND_ANTI_IL12_48H_CD4_TCELL_UP","SYSTEMATIC_NAME":"M4199","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1195_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated CD4 [GeneID=920] T cells at 0 h versus the cells treated with IL4 [GeneID=3565] and anti-IL12 at 48 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_CTRL_VS_ACT_IL4_AND_ANTI_IL12_48H_CD4_TCELL_DN","SYSTEMATIC_NAME":"M4200","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1195_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated CD4 [GeneID=920] T cells at 0 h versus the cells treated with IL4 [GeneID=3565] and anti-IL12 at 48 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_CTRL_VS_ACT_IL4_AND_ANTI_IL12_72H_CD4_TCELL_UP","SYSTEMATIC_NAME":"M4201","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1196_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated CD4 [GeneID=920] T cells at 0 h versus the cells treated with IL4 [GeneID=3565] and anti-IL12 at 72 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_CTRL_VS_ACT_IL4_AND_ANTI_IL12_72H_CD4_TCELL_DN","SYSTEMATIC_NAME":"M4202","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1196_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated CD4 [GeneID=920] T cells at 0 h versus the cells treated with IL4 [GeneID=3565] and anti-IL12 at 72 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_IL4_AND_ANTI_IL12_VS_UNTREATED_0.5H_ACT_CD4_TCELL_UP","SYSTEMATIC_NAME":"M4206","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1197_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD4 [GeneID=920] T cells treated with IL4 [GeneID=3565] and anti-IL12 at 0.5 h versus the untreated cells at 0.5 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_IL4_AND_ANTI_IL12_VS_UNTREATED_0.5H_ACT_CD4_TCELL_DN","SYSTEMATIC_NAME":"M4207","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1197_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD4 [GeneID=920] T cells treated with IL4 [GeneID=3565] and anti-IL12 at 0.5 h versus the untreated cells at 0.5 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_IL4_AND_ANTI_IL12_VS_UNTREATED_1H_ACT_CD4_TCELL_UP","SYSTEMATIC_NAME":"M4208","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1198_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD4 [GeneID=920] T cells treated with IL4 [GeneID=3565] and anti-IL12 at 1 h versus the untreated cells at 1 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_IL4_AND_ANTI_IL12_VS_UNTREATED_1H_ACT_CD4_TCELL_DN","SYSTEMATIC_NAME":"M4209","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1198_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD4 [GeneID=920] T cells treated with IL4 [GeneID=3565] and anti-IL12 at 1 h versus the untreated cells at 1 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_IL4_AND_ANTI_IL12_VS_UNTREATED_2H_ACT_CD4_TCELL_UP","SYSTEMATIC_NAME":"M4211","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1199_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD4 [GeneID=920] T cells treated with IL4 [GeneID=3565] and anti-IL12 at 2 h versus the untreated cells at 2 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_IL4_AND_ANTI_IL12_VS_UNTREATED_2H_ACT_CD4_TCELL_DN","SYSTEMATIC_NAME":"M4212","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1199_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD4 [GeneID=920] T cells treated with IL4 [GeneID=3565] and anti-IL12 at 2 h versus the untreated cells at 2 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_IL4_AND_ANTI_IL12_VS_UNTREATED_4H_ACT_CD4_TCELL_UP","SYSTEMATIC_NAME":"M4213","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1200_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD4 [GeneID=920] T cells treated with IL4 [GeneID=3565] and anti-IL12 at 4 h versus the untreated cells at 4 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_IL4_AND_ANTI_IL12_VS_UNTREATED_4H_ACT_CD4_TCELL_DN","SYSTEMATIC_NAME":"M4214","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1200_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD4 [GeneID=920] T cells treated with IL4 [GeneID=3565] and anti-IL12 at 4 h versus the untreated cells at 4 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_IL4_AND_ANTI_IL12_VS_UNTREATED_6H_ACT_CD4_TCELL_UP","SYSTEMATIC_NAME":"M4216","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1201_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD4 [GeneID=920] T cells treated with IL4 [GeneID=3565] and anti-IL12 at 6 h versus the untreated cells at 6 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_IL4_AND_ANTI_IL12_VS_UNTREATED_6H_ACT_CD4_TCELL_DN","SYSTEMATIC_NAME":"M4218","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1201_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD4 [GeneID=920] T cells treated with IL4 [GeneID=3565] and anti-IL12 at 6 h versus the untreated cells at 6 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_IL4_AND_ANTI_IL12_VS_UNTREATED_12H_ACT_CD4_TCELL_UP","SYSTEMATIC_NAME":"M4221","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1202_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD4 [GeneID=920] T cells treated with IL4 [GeneID=3565] and anti-IL12 at 12 h versus the untreated cells at 12 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_IL4_AND_ANTI_IL12_VS_UNTREATED_12H_ACT_CD4_TCELL_DN","SYSTEMATIC_NAME":"M4222","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1202_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD4 [GeneID=920] T cells treated with IL4 [GeneID=3565] and anti-IL12 at 12 h versus the untreated cells at 12 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_IL4_AND_ANTI_IL12_VS_UNTREATED_24H_ACT_CD4_TCELL_UP","SYSTEMATIC_NAME":"M4224","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1203_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD4 [GeneID=920] T cells treated with IL4 [GeneID=3565] and anti-IL12 at 24 h versus the untreated cells at 24 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_IL4_AND_ANTI_IL12_VS_UNTREATED_24H_ACT_CD4_TCELL_DN","SYSTEMATIC_NAME":"M4227","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1203_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD4 [GeneID=920] T cells treated with IL4 [GeneID=3565] and anti-IL12 at 24 h versus the untreated cells at 24 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_IL4_AND_ANTI_IL12_VS_UNTREATED_48H_ACT_CD4_TCELL_UP","SYSTEMATIC_NAME":"M4228","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1204_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD4 [GeneID=920] T cells treated with IL4 [GeneID=3565] and anti-IL12 at 48 h versus the untreated cells at 48 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_IL4_AND_ANTI_IL12_VS_UNTREATED_48H_ACT_CD4_TCELL_DN","SYSTEMATIC_NAME":"M4231","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1204_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD4 [GeneID=920] T cells treated with IL4 [GeneID=3565] and anti-IL12 at 48 h versus the untreated cells at 48 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_IL4_AND_ANTI_IL12_VS_UNTREATED_72H_ACT_CD4_TCELL_UP","SYSTEMATIC_NAME":"M4232","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1205_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD4 [GeneID=920] T cells treated with IL4 [GeneID=3565] and anti-IL12 at 72 h versus the untreated cells at 72 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_IL4_AND_ANTI_IL12_VS_UNTREATED_72H_ACT_CD4_TCELL_DN","SYSTEMATIC_NAME":"M4233","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1205_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD4 [GeneID=920] T cells treated with IL4 [GeneID=3565] and anti-IL12 at 72 h versus the untreated cells at 72 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_0.5H_VS_72H_UNTREATED_IN_VITRO_CD4_TCELL_UP","SYSTEMATIC_NAME":"M4234","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1206_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated CD4 [GeneID=920] T cells at 0.5 h versus the untreated cells at 72 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_0.5H_VS_72H_UNTREATED_IN_VITRO_CD4_TCELL_DN","SYSTEMATIC_NAME":"M4236","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1206_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated CD4 [GeneID=920] T cells at 0.5 h versus the untreated cells at 72 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_1H_VS_72H_UNTREATED_IN_VITRO_CD4_TCELL_UP","SYSTEMATIC_NAME":"M4237","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1207_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated CD4 [GeneID=920] T cells at 1 h versus the untreated cells at 72 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_1H_VS_72H_UNTREATED_IN_VITRO_CD4_TCELL_DN","SYSTEMATIC_NAME":"M4239","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1207_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated CD4 [GeneID=920] T cells at 1 h versus the untreated cells at 72 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_2H_VS_72H_UNTREATED_IN_VITRO_CD4_TCELL_UP","SYSTEMATIC_NAME":"M4240","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1208_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated CD4 [GeneID=920] T cells at 2 h versus the untreated cells at 72 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_2H_VS_72H_UNTREATED_IN_VITRO_CD4_TCELL_DN","SYSTEMATIC_NAME":"M4243","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1208_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated CD4 [GeneID=920] T cells at 2 h versus the untreated cells at 72 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_0.5H_VS_72H_IL4_AND_ANTI_IL12_ACT_CD4_TCELL_UP","SYSTEMATIC_NAME":"M4244","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1209_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD4 [GeneID=920] T cells treated with IL4 [GeneID=3565] and anti-IL12 at 0.5 h versus those at 72 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_0.5H_VS_72H_IL4_AND_ANTI_IL12_ACT_CD4_TCELL_DN","SYSTEMATIC_NAME":"M4245","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1209_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD4 [GeneID=920] T cells treated with IL4 [GeneID=3565] and anti-IL12 at 0.5 h versus those at 72 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_1.5H_VS_72H_IL4_AND_ANTI_IL12_ACT_CD4_TCELL_UP","SYSTEMATIC_NAME":"M4247","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1210_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD4 [GeneID=920] T cells treated with IL4 [GeneID=3565] and anti-IL12 at 1.5 h versus those at 72 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_1.5H_VS_72H_IL4_AND_ANTI_IL12_ACT_CD4_TCELL_DN","SYSTEMATIC_NAME":"M4248","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1210_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD4 [GeneID=920] T cells treated with IL4 [GeneID=3565] and anti-IL12 at 1.5 h versus those at 72 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_2.5H_VS_72H_IL4_AND_ANTI_IL12_ACT_CD4_TCELL_UP","SYSTEMATIC_NAME":"M4249","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1211_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD4 [GeneID=920] T cells treated with IL4 [GeneID=3565] and anti-IL12 at 2 h versus those at 72 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE17974_2.5H_VS_72H_IL4_AND_ANTI_IL12_ACT_CD4_TCELL_DN","SYSTEMATIC_NAME":"M4250","ORGANISM":"Homo sapiens","PMID":"20620947","AUTHORS":"Elo LL,Järvenpää H,Tuomela S,Raghav S,Ahlfors H,Laurila K,Gupta B,Lund RJ,Tahvanainen J,Hawkins RD,Oresic M,Lähdesmäki H,Rasool O,Rao KV,Aittokallio T,Lahesmaa R","GEOID":"GSE17974","EXACT_SOURCE":"GSE17974_1211_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD4 [GeneID=920] T cells treated with IL4 [GeneID=3565] and anti-IL12 at 2 h versus those at 72 h.","DESCRIPTION_FULL":"The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells."}
{"STANDARD_NAME":"GSE18148_CBFB_KO_VS_WT_TREG_UP","SYSTEMATIC_NAME":"M4251","ORGANISM":"Mus musculus","PMID":"19800266","AUTHORS":"Kitoh A,Ono M,Naoe Y,Ohkura N,Yamaguchi T,Yaguchi H,Kitabayashi I,Tsukada T,Nomura T,Miyachi Y,Taniuchi I,Sakaguchi S.","GEOID":"GSE18148","EXACT_SOURCE":"GSE18148_1212_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regualted in comparison of regulatory T cell (Treg) from CBFB [GeneID=865] deficient mice versus those from wild type animals.","DESCRIPTION_FULL":"Gene expression profiles of Cbfb-deficient and control Treg cells were compared. Naturally arising regulatory T (Treg) cells express the transcription factor FoxP3, which critically controls the development and function of Treg cells. FoxP3 interacts with another transcription factor Runx1 (also known as AML1). Here we showed that Treg cell-specific deficiency of Cbfβ, a cofactor for all Runx proteins, or that of Runx1, but not Runx3, induced lymphoproliferation, autoimmune disease, and hyper-production of IgE. Cbfb-deleted Treg cells exhibited impaired suppressive function in vitro and in vivo, with altered gene expression profiles including attenuated expression of FoxP3 and high expression of interleukin-4. The Runx complex bound to more than 3000 gene loci in Treg cells, including the Foxp3 regulatory regions and the Il4 silencer. In addition, knockdown of RUNX1 showed that RUNX1 is required for the optimal regulation of FoxP3 expression in human T cells. Taken together, our results indicate that the Runx1-Cbfβ heterodimer is indispensable for in vivo Treg cell function, in particular, suppressive activity and optimal expression of FoxP3."}
{"STANDARD_NAME":"GSE18148_CBFB_KO_VS_WT_TREG_DN","SYSTEMATIC_NAME":"M4252","ORGANISM":"Mus musculus","PMID":"19800266","AUTHORS":"Kitoh A,Ono M,Naoe Y,Ohkura N,Yamaguchi T,Yaguchi H,Kitabayashi I,Tsukada T,Nomura T,Miyachi Y,Taniuchi I,Sakaguchi S.","GEOID":"GSE18148","EXACT_SOURCE":"GSE18148_1212_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regualted in comparison of regulatory T cell (Treg) from CBFB [GeneID=865] deficient mice versus those from wild type animals.","DESCRIPTION_FULL":"Gene expression profiles of Cbfb-deficient and control Treg cells were compared. Naturally arising regulatory T (Treg) cells express the transcription factor FoxP3, which critically controls the development and function of Treg cells. FoxP3 interacts with"}
{"STANDARD_NAME":"GSE18791_CTRL_VS_NEWCASTLE_VIRUS_DC_1H_UP","SYSTEMATIC_NAME":"M4255","ORGANISM":"Homo sapiens","PMID":"20164420","AUTHORS":"Zaslavsky E,Hershberg U,Seto J,Pham AM,Marquez S,Duke JL,Wetmur JG,Tenoever BR,Sealfon SC,Kleinstein SH.","GEOID":"GSE18791","EXACT_SOURCE":"GSE18791_1538_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control conventional dendritic cells (cDC) at 0 h versus cDCs infected with Newcastle disease virus (NDV) at 1 h.","DESCRIPTION_FULL":"The dendritic cell (DC) is a master regulator of immune responses. Pathogenic viruses subvert normal immune function in DCs through the expression of immune antagonists. Understanding how these antagonists interact with the host immune system requires knowledge of the underlying genetic regulatory network that operates during an uninhibited antiviral response. In order to isolate and identify this network, we studied DCs infected with Newcastle Disease Virus (NDV), which is able to stimulate innate immunity and DC maturation through activation of RIG-I signaling, but lacks the ability to evade the human interferon response. To analyze this experimental model, we developed a new approach integrating genome-wide expression kinetics and time-dependent promoter analysis. We found that the genetic program underlying the antiviral cell state transition during the first 18-hours post-infection could be explained by a single regulatory network. Gene expression changes were driven by a step-wise multi-factor cascading control mechanism, where the specific transcription factors controlling expression changed over time. Within this network, most individual genes are regulated by multiple factors, indicating robustness against virus-encoded immune evasion genes. In addition to effectively recapitulating current biological knowledge, we predicted, and validated experimentally, antiviral roles for several novel transcription factors. More generally, our results show how a genetic program can be temporally controlled through a single regulatory network to achieve the large-scale genetic reprogramming characteristic of cell state transitions."}
{"STANDARD_NAME":"GSE18791_CTRL_VS_NEWCASTLE_VIRUS_DC_1H_DN","SYSTEMATIC_NAME":"M4256","ORGANISM":"Homo sapiens","PMID":"20164420","AUTHORS":"Zaslavsky E,Hershberg U,Seto J,Pham AM,Marquez S,Duke JL,Wetmur JG,Tenoever BR,Sealfon SC,Kleinstein SH.","GEOID":"GSE18791","EXACT_SOURCE":"GSE18791_1538_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control conventional dendritic cells (cDC) at 0 h versus cDCs infected with Newcastle disease virus (NDV) at 1 h.","DESCRIPTION_FULL":"The dendritic cell (DC) is a master regulator of immune responses. Pathogenic viruses subvert normal immune function in DCs through the expression of immune antagonists. Understanding how these antagonists interact with the host immune system requires knowledge of the underlying genetic regulatory network that operates during an uninhibited antiviral response. In order to isolate and identify this network, we studied DCs infected with Newcastle Disease Virus (NDV), which is able to stimulate innate immunity and DC maturation through activation of RIG-I signaling, but lacks the ability to evade the human interferon response. To analyze this experimental model, we developed a new approach integrating genome-wide expression kinetics and time-dependent promoter analysis. We found that the genetic program underlying the antiviral cell state transition during the first 18-hours post-infection could be explained by a single regulatory network. Gene expression changes were driven by a step-wise multi-factor cascading control mechanism, where the specific transcription factors controlling expression changed over time. Within this network, most individual genes are regulated by multiple factors, indicating robustness against virus-encoded immune evasion genes. In addition to effectively recapitulating current biological knowledge, we predicted, and validated experimentally, antiviral roles for several novel transcription factors. More generally, our results show how a genetic program can be temporally controlled through a single regulatory network to achieve the large-scale genetic reprogramming characteristic of cell state transitions."}
{"STANDARD_NAME":"GSE18791_CTRL_VS_NEWCASTLE_VIRUS_DC_2H_UP","SYSTEMATIC_NAME":"M4257","ORGANISM":"Homo sapiens","PMID":"20164420","AUTHORS":"Zaslavsky E,Hershberg U,Seto J,Pham AM,Marquez S,Duke JL,Wetmur JG,Tenoever BR,Sealfon SC,Kleinstein SH.","GEOID":"GSE18791","EXACT_SOURCE":"GSE18791_1539_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control conventional dendritic cells (cDC) at 0 h versus cDCs infected with Newcastle disease virus (NDV) at 2 h.","DESCRIPTION_FULL":"The dendritic cell (DC) is a master regulator of immune responses. Pathogenic viruses subvert normal immune function in DCs through the expression of immune antagonists. Understanding how these antagonists interact with the host immune system requires knowledge of the underlying genetic regulatory network that operates during an uninhibited antiviral response. In order to isolate and identify this network, we studied DCs infected with Newcastle Disease Virus (NDV), which is able to stimulate innate immunity and DC maturation through activation of RIG-I signaling, but lacks the ability to evade the human interferon response. To analyze this experimental model, we developed a new approach integrating genome-wide expression kinetics and time-dependent promoter analysis. We found that the genetic program underlying the antiviral cell state transition during the first 18-hours post-infection could be explained by a single regulatory network. Gene expression changes were driven by a step-wise multi-factor cascading control mechanism, where the specific transcription factors controlling expression changed over time. Within this network, most individual genes are regulated by multiple factors, indicating robustness against virus-encoded immune evasion genes. In addition to effectively recapitulating current biological knowledge, we predicted, and validated experimentally, antiviral roles for several novel transcription factors. More generally, our results show how a genetic program can be temporally controlled through a single regulatory network to achieve the large-scale genetic reprogramming characteristic of cell state transitions."}
{"STANDARD_NAME":"GSE18791_CTRL_VS_NEWCASTLE_VIRUS_DC_2H_DN","SYSTEMATIC_NAME":"M4259","ORGANISM":"Homo sapiens","PMID":"20164420","AUTHORS":"Zaslavsky E,Hershberg U,Seto J,Pham AM,Marquez S,Duke JL,Wetmur JG,Tenoever BR,Sealfon SC,Kleinstein SH.","GEOID":"GSE18791","EXACT_SOURCE":"GSE18791_1539_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control conventional dendritic cells (cDC) at 0 h versus cDCs infected with Newcastle disease virus (NDV) at 2 h.","DESCRIPTION_FULL":"The dendritic cell (DC) is a master regulator of immune responses. Pathogenic viruses subvert normal immune function in DCs through the expression of immune antagonists. Understanding how these antagonists interact with the host immune system requires knowledge of the underlying genetic regulatory network that operates during an uninhibited antiviral response. In order to isolate and identify this network, we studied DCs infected with Newcastle Disease Virus (NDV), which is able to stimulate innate immunity and DC maturation through activation of RIG-I signaling, but lacks the ability to evade the human interferon response. To analyze this experimental model, we developed a new approach integrating genome-wide expression kinetics and time-dependent promoter analysis. We found that the genetic program underlying the antiviral cell state transition during the first 18-hours post-infection could be explained by a single regulatory network. Gene expression changes were driven by a step-wise multi-factor cascading control mechanism, where the specific transcription factors controlling expression changed over time. Within this network, most individual genes are regulated by multiple factors, indicating robustness against virus-encoded immune evasion genes. In addition to effectively recapitulating current biological knowledge, we predicted, and validated experimentally, antiviral roles for several novel transcription factors. More generally, our results show how a genetic program can be temporally controlled through a single regulatory network to achieve the large-scale genetic reprogramming characteristic of cell state transitions."}
{"STANDARD_NAME":"GSE18791_CTRL_VS_NEWCASTLE_VIRUS_DC_4H_UP","SYSTEMATIC_NAME":"M4260","ORGANISM":"Homo sapiens","PMID":"20164420","AUTHORS":"Zaslavsky E,Hershberg U,Seto J,Pham AM,Marquez S,Duke JL,Wetmur JG,Tenoever BR,Sealfon SC,Kleinstein SH.","GEOID":"GSE18791","EXACT_SOURCE":"GSE18791_1540_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control conventional dendritic cells (cDC) at 0 h versus cDCs infected with Newcastle disease virus (NDV) at 4 h.","DESCRIPTION_FULL":"The dendritic cell (DC) is a master regulator of immune responses. Pathogenic viruses subvert normal immune function in DCs through the expression of immune antagonists. Understanding how these antagonists interact with the host immune system requires knowledge of the underlying genetic regulatory network that operates during an uninhibited antiviral response. In order to isolate and identify this network, we studied DCs infected with Newcastle Disease Virus (NDV), which is able to stimulate innate immunity and DC maturation through activation of RIG-I signaling, but lacks the ability to evade the human interferon response. To analyze this experimental model, we developed a new approach integrating genome-wide expression kinetics and time-dependent promoter analysis. We found that the genetic program underlying the antiviral cell state transition during the first 18-hours post-infection could be explained by a single regulatory network. Gene expression changes were driven by a step-wise multi-factor cascading control mechanism, where the specific transcription factors controlling expression changed over time. Within this network, most individual genes are regulated by multiple factors, indicating robustness against virus-encoded immune evasion genes. In addition to effectively recapitulating current biological knowledge, we predicted, and validated experimentally, antiviral roles for several novel transcription factors. More generally, our results show how a genetic program can be temporally controlled through a single regulatory network to achieve the large-scale genetic reprogramming characteristic of cell state transitions."}
{"STANDARD_NAME":"GSE18791_CTRL_VS_NEWCASTLE_VIRUS_DC_4H_DN","SYSTEMATIC_NAME":"M4261","ORGANISM":"Homo sapiens","PMID":"20164420","AUTHORS":"Zaslavsky E,Hershberg U,Seto J,Pham AM,Marquez S,Duke JL,Wetmur JG,Tenoever BR,Sealfon SC,Kleinstein SH.","GEOID":"GSE18791","EXACT_SOURCE":"GSE18791_1540_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control conventional dendritic cells (cDC) at 0 h versus cDCs infected with Newcastle disease virus (NDV) at 4 h.","DESCRIPTION_FULL":"The dendritic cell (DC) is a master regulator of immune responses. Pathogenic viruses subvert normal immune function in DCs through the expression of immune antagonists. Understanding how these antagonists interact with the host immune system requires knowledge of the underlying genetic regulatory network that operates during an uninhibited antiviral response. In order to isolate and identify this network, we studied DCs infected with Newcastle Disease Virus (NDV), which is able to stimulate innate immunity and DC maturation through activation of RIG-I signaling, but lacks the ability to evade the human interferon response. To analyze this experimental model, we developed a new approach integrating genome-wide expression kinetics and time-dependent promoter analysis. We found that the genetic program underlying the antiviral cell state transition during the first 18-hours post-infection could be explained by a single regulatory network. Gene expression changes were driven by a step-wise multi-factor cascading control mechanism, where the specific transcription factors controlling expression changed over time. Within this network, most individual genes are regulated by multiple factors, indicating robustness against virus-encoded immune evasion genes. In addition to effectively recapitulating current biological knowledge, we predicted, and validated experimentally, antiviral roles for several novel transcription factors. More generally, our results show how a genetic program can be temporally controlled through a single regulatory network to achieve the large-scale genetic reprogramming characteristic of cell state transitions."}
{"STANDARD_NAME":"GSE18791_CTRL_VS_NEWCASTLE_VIRUS_DC_6H_UP","SYSTEMATIC_NAME":"M4262","ORGANISM":"Homo sapiens","PMID":"20164420","AUTHORS":"Zaslavsky E,Hershberg U,Seto J,Pham AM,Marquez S,Duke JL,Wetmur JG,Tenoever BR,Sealfon SC,Kleinstein SH.","GEOID":"GSE18791","EXACT_SOURCE":"GSE18791_1541_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control conventional dendritic cells (cDC) at 0 h versus cDCs infected with Newcastle disease virus (NDV) at 6 h.","DESCRIPTION_FULL":"The dendritic cell (DC) is a master regulator of immune responses. Pathogenic viruses subvert normal immune function in DCs through the expression of immune antagonists. Understanding how these antagonists interact with the host immune system requires knowledge of the underlying genetic regulatory network that operates during an uninhibited antiviral response. In order to isolate and identify this network, we studied DCs infected with Newcastle Disease Virus (NDV), which is able to stimulate innate immunity and DC maturation through activation of RIG-I signaling, but lacks the ability to evade the human interferon response. To analyze this experimental model, we developed a new approach integrating genome-wide expression kinetics and time-dependent promoter analysis. We found that the genetic program underlying the antiviral cell state transition during the first 18-hours post-infection could be explained by a single regulatory network. Gene expression changes were driven by a step-wise multi-factor cascading control mechanism, where the specific transcription factors controlling expression changed over time. Within this network, most individual genes are regulated by multiple factors, indicating robustness against virus-encoded immune evasion genes. In addition to effectively recapitulating current biological knowledge, we predicted, and validated experimentally, antiviral roles for several novel transcription factors. More generally, our results show how a genetic program can be temporally controlled through a single regulatory network to achieve the large-scale genetic reprogramming characteristic of cell state transitions."}
{"STANDARD_NAME":"GSE18791_CTRL_VS_NEWCASTLE_VIRUS_DC_6H_DN","SYSTEMATIC_NAME":"M4264","ORGANISM":"Homo sapiens","PMID":"20164420","AUTHORS":"Zaslavsky E,Hershberg U,Seto J,Pham AM,Marquez S,Duke JL,Wetmur JG,Tenoever BR,Sealfon SC,Kleinstein SH.","GEOID":"GSE18791","EXACT_SOURCE":"GSE18791_1541_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control conventional dendritic cells (cDC) at 0 h versus cDCs infected with Newcastle disease virus (NDV) at 6 h.","DESCRIPTION_FULL":"The dendritic cell (DC) is a master regulator of immune responses. Pathogenic viruses subvert normal immune function in DCs through the expression of immune antagonists. Understanding how these antagonists interact with the host immune system requires knowledge of the underlying genetic regulatory network that operates during an uninhibited antiviral response. In order to isolate and identify this network, we studied DCs infected with Newcastle Disease Virus (NDV), which is able to stimulate innate immunity and DC maturation through activation of RIG-I signaling, but lacks the ability to evade the human interferon response. To analyze this experimental model, we developed a new approach integrating genome-wide expression kinetics and time-dependent promoter analysis. We found that the genetic program underlying the antiviral cell state transition during the first 18-hours post-infection could be explained by a single regulatory network. Gene expression changes were driven by a step-wise multi-factor cascading control mechanism, where the specific transcription factors controlling expression changed over time. Within this network, most individual genes are regulated by multiple factors, indicating robustness against virus-encoded immune evasion genes. In addition to effectively recapitulating current biological knowledge, we predicted, and validated experimentally, antiviral roles for several novel transcription factors. More generally, our results show how a genetic program can be temporally controlled through a single regulatory network to achieve the large-scale genetic reprogramming characteristic of cell state transitions."}
{"STANDARD_NAME":"GSE18791_CTRL_VS_NEWCASTLE_VIRUS_DC_8H_UP","SYSTEMATIC_NAME":"M4266","ORGANISM":"Homo sapiens","PMID":"20164420","AUTHORS":"Zaslavsky E,Hershberg U,Seto J,Pham AM,Marquez S,Duke JL,Wetmur JG,Tenoever BR,Sealfon SC,Kleinstein SH.","GEOID":"GSE18791","EXACT_SOURCE":"GSE18791_1542_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control conventional dendritic cells (cDC) at 0 h versus cDCs infected with Newcastle disease virus (NDV) at 8 h.","DESCRIPTION_FULL":"The dendritic cell (DC) is a master regulator of immune responses. Pathogenic viruses subvert normal immune function in DCs through the expression of immune antagonists. Understanding how these antagonists interact with the host immune system requires knowledge of the underlying genetic regulatory network that operates during an uninhibited antiviral response. In order to isolate and identify this network, we studied DCs infected with Newcastle Disease Virus (NDV), which is able to stimulate innate immunity and DC maturation through activation of RIG-I signaling, but lacks the ability to evade the human interferon response. To analyze this experimental model, we developed a new approach integrating genome-wide expression kinetics and time-dependent promoter analysis. We found that the genetic program underlying the antiviral cell state transition during the first 18-hours post-infection could be explained by a single regulatory network. Gene expression changes were driven by a step-wise multi-factor cascading control mechanism, where the specific transcription factors controlling expression changed over time. Within this network, most individual genes are regulated by multiple factors, indicating robustness against virus-encoded immune evasion genes. In addition to effectively recapitulating current biological knowledge, we predicted, and validated experimentally, antiviral roles for several novel transcription factors. More generally, our results show how a genetic program can be temporally controlled through a single regulatory network to achieve the large-scale genetic reprogramming characteristic of cell state transitions."}
{"STANDARD_NAME":"GSE18791_CTRL_VS_NEWCASTLE_VIRUS_DC_8H_DN","SYSTEMATIC_NAME":"M4267","ORGANISM":"Homo sapiens","PMID":"20164420","AUTHORS":"Zaslavsky E,Hershberg U,Seto J,Pham AM,Marquez S,Duke JL,Wetmur JG,Tenoever BR,Sealfon SC,Kleinstein SH.","GEOID":"GSE18791","EXACT_SOURCE":"GSE18791_1542_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control conventional dendritic cells (cDC) at 0 h versus cDCs infected with Newcastle disease virus (NDV) at 8 h.","DESCRIPTION_FULL":"The dendritic cell (DC) is a master regulator of immune responses. Pathogenic viruses subvert normal immune function in DCs through the expression of immune antagonists. Understanding how these antagonists interact with the host immune system requires knowledge of the underlying genetic regulatory network that operates during an uninhibited antiviral response. In order to isolate and identify this network, we studied DCs infected with Newcastle Disease Virus (NDV), which is able to stimulate innate immunity and DC maturation through activation of RIG-I signaling, but lacks the ability to evade the human interferon response. To analyze this experimental model, we developed a new approach integrating genome-wide expression kinetics and time-dependent promoter analysis. We found that the genetic program underlying the antiviral cell state transition during the first 18-hours post-infection could be explained by a single regulatory network. Gene expression changes were driven by a step-wise multi-factor cascading control mechanism, where the specific transcription factors controlling expression changed over time. Within this network, most individual genes are regulated by multiple factors, indicating robustness against virus-encoded immune evasion genes. In addition to effectively recapitulating current biological knowledge, we predicted, and validated experimentally, antiviral roles for several novel transcription factors. More generally, our results show how a genetic program can be temporally controlled through a single regulatory network to achieve the large-scale genetic reprogramming characteristic of cell state transitions."}
{"STANDARD_NAME":"GSE18791_CTRL_VS_NEWCASTLE_VIRUS_DC_10H_UP","SYSTEMATIC_NAME":"M4268","ORGANISM":"Homo sapiens","PMID":"20164420","AUTHORS":"Zaslavsky E,Hershberg U,Seto J,Pham AM,Marquez S,Duke JL,Wetmur JG,Tenoever BR,Sealfon SC,Kleinstein SH.","GEOID":"GSE18791","EXACT_SOURCE":"GSE18791_1543_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control conventional dendritic cells (cDC) at 0 h versus cDCs infected with Newcastle disease virus (NDV) at 10 h.","DESCRIPTION_FULL":"The dendritic cell (DC) is a master regulator of immune responses. Pathogenic viruses subvert normal immune function in DCs through the expression of immune antagonists. Understanding how these antagonists interact with the host immune system requires knowledge of the underlying genetic regulatory network that operates during an uninhibited antiviral response. In order to isolate and identify this network, we studied DCs infected with Newcastle Disease Virus (NDV), which is able to stimulate innate immunity and DC maturation through activation of RIG-I signaling, but lacks the ability to evade the human interferon response. To analyze this experimental model, we developed a new approach integrating genome-wide expression kinetics and time-dependent promoter analysis. We found that the genetic program underlying the antiviral cell state transition during the first 18-hours post-infection could be explained by a single regulatory network. Gene expression changes were driven by a step-wise multi-factor cascading control mechanism, where the specific transcription factors controlling expression changed over time. Within this network, most individual genes are regulated by multiple factors, indicating robustness against virus-encoded immune evasion genes. In addition to effectively recapitulating current biological knowledge, we predicted, and validated experimentally, antiviral roles for several novel transcription factors. More generally, our results show how a genetic program can be temporally controlled through a single regulatory network to achieve the large-scale genetic reprogramming characteristic of cell state transitions."}
{"STANDARD_NAME":"GSE18791_CTRL_VS_NEWCASTLE_VIRUS_DC_10H_DN","SYSTEMATIC_NAME":"M4269","ORGANISM":"Homo sapiens","PMID":"20164420","AUTHORS":"Zaslavsky E,Hershberg U,Seto J,Pham AM,Marquez S,Duke JL,Wetmur JG,Tenoever BR,Sealfon SC,Kleinstein SH.","GEOID":"GSE18791","EXACT_SOURCE":"GSE18791_1543_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control conventional dendritic cells (cDC) at 0 h versus cDCs infected with Newcastle disease virus (NDV) at 10 h.","DESCRIPTION_FULL":"The dendritic cell (DC) is a master regulator of immune responses. Pathogenic viruses subvert normal immune function in DCs through the expression of immune antagonists. Understanding how these antagonists interact with the host immune system requires knowledge of the underlying genetic regulatory network that operates during an uninhibited antiviral response. In order to isolate and identify this network, we studied DCs infected with Newcastle Disease Virus (NDV), which is able to stimulate innate immunity and DC maturation through activation of RIG-I signaling, but lacks the ability to evade the human interferon response. To analyze this experimental model, we developed a new approach integrating genome-wide expression kinetics and time-dependent promoter analysis. We found that the genetic program underlying the antiviral cell state transition during the first 18-hours post-infection could be explained by a single regulatory network. Gene expression changes were driven by a step-wise multi-factor cascading control mechanism, where the specific transcription factors controlling expression changed over time. Within this network, most individual genes are regulated by multiple factors, indicating robustness against virus-encoded immune evasion genes. In addition to effectively recapitulating current biological knowledge, we predicted, and validated experimentally, antiviral roles for several novel transcription factors. More generally, our results show how a genetic program can be temporally controlled through a single regulatory network to achieve the large-scale genetic reprogramming characteristic of cell state transitions."}
{"STANDARD_NAME":"GSE18791_CTRL_VS_NEWCASTLE_VIRUS_DC_12H_UP","SYSTEMATIC_NAME":"M4271","ORGANISM":"Homo sapiens","PMID":"20164420","AUTHORS":"Zaslavsky E,Hershberg U,Seto J,Pham AM,Marquez S,Duke JL,Wetmur JG,Tenoever BR,Sealfon SC,Kleinstein SH.","GEOID":"GSE18791","EXACT_SOURCE":"GSE18791_1544_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control conventional dendritic cells (cDC) at 0 h versus cDCs infected with Newcastle disease virus (NDV) at 12 h.","DESCRIPTION_FULL":"The dendritic cell (DC) is a master regulator of immune responses. Pathogenic viruses subvert normal immune function in DCs through the expression of immune antagonists. Understanding how these antagonists interact with the host immune system requires knowledge of the underlying genetic regulatory network that operates during an uninhibited antiviral response. In order to isolate and identify this network, we studied DCs infected with Newcastle Disease Virus (NDV), which is able to stimulate innate immunity and DC maturation through activation of RIG-I signaling, but lacks the ability to evade the human interferon response. To analyze this experimental model, we developed a new approach integrating genome-wide expression kinetics and time-dependent promoter analysis. We found that the genetic program underlying the antiviral cell state transition during the first 18-hours post-infection could be explained by a single regulatory network. Gene expression changes were driven by a step-wise multi-factor cascading control mechanism, where the specific transcription factors controlling expression changed over time. Within this network, most individual genes are regulated by multiple factors, indicating robustness against virus-encoded immune evasion genes. In addition to effectively recapitulating current biological knowledge, we predicted, and validated experimentally, antiviral roles for several novel transcription factors. More generally, our results show how a genetic program can be temporally controlled through a single regulatory network to achieve the large-scale genetic reprogramming characteristic of cell state transitions."}
{"STANDARD_NAME":"GSE18791_CTRL_VS_NEWCASTLE_VIRUS_DC_12H_DN","SYSTEMATIC_NAME":"M4272","ORGANISM":"Homo sapiens","PMID":"20164420","AUTHORS":"Zaslavsky E,Hershberg U,Seto J,Pham AM,Marquez S,Duke JL,Wetmur JG,Tenoever BR,Sealfon SC,Kleinstein SH.","GEOID":"GSE18791","EXACT_SOURCE":"GSE18791_1544_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control conventional dendritic cells (cDC) at 0 h versus cDCs infected with Newcastle disease virus (NDV) at 12 h.","DESCRIPTION_FULL":"The dendritic cell (DC) is a master regulator of immune responses. Pathogenic viruses subvert normal immune function in DCs through the expression of immune antagonists. Understanding how these antagonists interact with the host immune system requires knowledge of the underlying genetic regulatory network that operates during an uninhibited antiviral response. In order to isolate and identify this network, we studied DCs infected with Newcastle Disease Virus (NDV), which is able to stimulate innate immunity and DC maturation through activation of RIG-I signaling, but lacks the ability to evade the human interferon response. To analyze this experimental model, we developed a new approach integrating genome-wide expression kinetics and time-dependent promoter analysis. We found that the genetic program underlying the antiviral cell state transition during the first 18-hours post-infection could be explained by a single regulatory network. Gene expression changes were driven by a step-wise multi-factor cascading control mechanism, where the specific transcription factors controlling expression changed over time. Within this network, most individual genes are regulated by multiple factors, indicating robustness against virus-encoded immune evasion genes. In addition to effectively recapitulating current biological knowledge, we predicted, and validated experimentally, antiviral roles for several novel transcription factors. More generally, our results show how a genetic program can be temporally controlled through a single regulatory network to achieve the large-scale genetic reprogramming characteristic of cell state transitions."}
{"STANDARD_NAME":"GSE18791_CTRL_VS_NEWCASTLE_VIRUS_DC_14H_UP","SYSTEMATIC_NAME":"M4274","ORGANISM":"Homo sapiens","PMID":"20164420","AUTHORS":"Zaslavsky E,Hershberg U,Seto J,Pham AM,Marquez S,Duke JL,Wetmur JG,Tenoever BR,Sealfon SC,Kleinstein SH.","GEOID":"GSE18791","EXACT_SOURCE":"GSE18791_1545_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control conventional dendritic cells (cDC) at 0 h versus cDCs infected with Newcastle disease virus (NDV) at 14 h.","DESCRIPTION_FULL":"The dendritic cell (DC) is a master regulator of immune responses. Pathogenic viruses subvert normal immune function in DCs through the expression of immune antagonists. Understanding how these antagonists interact with the host immune system requires knowledge of the underlying genetic regulatory network that operates during an uninhibited antiviral response. In order to isolate and identify this network, we studied DCs infected with Newcastle Disease Virus (NDV), which is able to stimulate innate immunity and DC maturation through activation of RIG-I signaling, but lacks the ability to evade the human interferon response. To analyze this experimental model, we developed a new approach integrating genome-wide expression kinetics and time-dependent promoter analysis. We found that the genetic program underlying the antiviral cell state transition during the first 18-hours post-infection could be explained by a single regulatory network. Gene expression changes were driven by a step-wise multi-factor cascading control mechanism, where the specific transcription factors controlling expression changed over time. Within this network, most individual genes are regulated by multiple factors, indicating robustness against virus-encoded immune evasion genes. In addition to effectively recapitulating current biological knowledge, we predicted, and validated experimentally, antiviral roles for several novel transcription factors. More generally, our results show how a genetic program can be temporally controlled through a single regulatory network to achieve the large-scale genetic reprogramming characteristic of cell state transitions."}
{"STANDARD_NAME":"GSE18791_CTRL_VS_NEWCASTLE_VIRUS_DC_14H_DN","SYSTEMATIC_NAME":"M4277","ORGANISM":"Homo sapiens","PMID":"20164420","AUTHORS":"Zaslavsky E,Hershberg U,Seto J,Pham AM,Marquez S,Duke JL,Wetmur JG,Tenoever BR,Sealfon SC,Kleinstein SH.","GEOID":"GSE18791","EXACT_SOURCE":"GSE18791_1545_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control conventional dendritic cells (cDC) at 0 h versus cDCs infected with Newcastle disease virus (NDV) at 14 h.","DESCRIPTION_FULL":"The dendritic cell (DC) is a master regulator of immune responses. Pathogenic viruses subvert normal immune function in DCs through the expression of immune antagonists. Understanding how these antagonists interact with the host immune system requires knowledge of the underlying genetic regulatory network that operates during an uninhibited antiviral response. In order to isolate and identify this network, we studied DCs infected with Newcastle Disease Virus (NDV), which is able to stimulate innate immunity and DC maturation through activation of RIG-I signaling, but lacks the ability to evade the human interferon response. To analyze this experimental model, we developed a new approach integrating genome-wide expression kinetics and time-dependent promoter analysis. We found that the genetic program underlying the antiviral cell state transition during the first 18-hours post-infection could be explained by a single regulatory network. Gene expression changes were driven by a step-wise multi-factor cascading control mechanism, where the specific transcription factors controlling expression changed over time. Within this network, most individual genes are regulated by multiple factors, indicating robustness against virus-encoded immune evasion genes. In addition to effectively recapitulating current biological knowledge, we predicted, and validated experimentally, antiviral roles for several novel transcription factors. More generally, our results show how a genetic program can be temporally controlled through a single regulatory network to achieve the large-scale genetic reprogramming characteristic of cell state transitions."}
{"STANDARD_NAME":"GSE18791_CTRL_VS_NEWCASTLE_VIRUS_DC_16H_UP","SYSTEMATIC_NAME":"M4278","ORGANISM":"Homo sapiens","PMID":"20164420","AUTHORS":"Zaslavsky E,Hershberg U,Seto J,Pham AM,Marquez S,Duke JL,Wetmur JG,Tenoever BR,Sealfon SC,Kleinstein SH.","GEOID":"GSE18791","EXACT_SOURCE":"GSE18791_1546_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control conventional dendritic cells (cDC) at 0 h versus cDCs infected with Newcastle disease virus (NDV) at 16 h.","DESCRIPTION_FULL":"The dendritic cell (DC) is a master regulator of immune responses. Pathogenic viruses subvert normal immune function in DCs through the expression of immune antagonists. Understanding how these antagonists interact with the host immune system requires knowledge of the underlying genetic regulatory network that operates during an uninhibited antiviral response. In order to isolate and identify this network, we studied DCs infected with Newcastle Disease Virus (NDV), which is able to stimulate innate immunity and DC maturation through activation of RIG-I signaling, but lacks the ability to evade the human interferon response. To analyze this experimental model, we developed a new approach integrating genome-wide expression kinetics and time-dependent promoter analysis. We found that the genetic program underlying the antiviral cell state transition during the first 18-hours post-infection could be explained by a single regulatory network. Gene expression changes were driven by a step-wise multi-factor cascading control mechanism, where the specific transcription factors controlling expression changed over time. Within this network, most individual genes are regulated by multiple factors, indicating robustness against virus-encoded immune evasion genes. In addition to effectively recapitulating current biological knowledge, we predicted, and validated experimentally, antiviral roles for several novel transcription factors. More generally, our results show how a genetic program can be temporally controlled through a single regulatory network to achieve the large-scale genetic reprogramming characteristic of cell state transitions."}
{"STANDARD_NAME":"GSE18791_CTRL_VS_NEWCASTLE_VIRUS_DC_16H_DN","SYSTEMATIC_NAME":"M4279","ORGANISM":"Homo sapiens","PMID":"20164420","AUTHORS":"Zaslavsky E,Hershberg U,Seto J,Pham AM,Marquez S,Duke JL,Wetmur JG,Tenoever BR,Sealfon SC,Kleinstein SH.","GEOID":"GSE18791","EXACT_SOURCE":"GSE18791_1546_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control conventional dendritic cells (cDC) at 0 h versus cDCs infected with Newcastle disease virus (NDV) at 16 h.","DESCRIPTION_FULL":"The dendritic cell (DC) is a master regulator of immune responses. Pathogenic viruses subvert normal immune function in DCs through the expression of immune antagonists. Understanding how these antagonists interact with the host immune system requires knowledge of the underlying genetic regulatory network that operates during an uninhibited antiviral response. In order to isolate and identify this network, we studied DCs infected with Newcastle Disease Virus (NDV), which is able to stimulate innate immunity and DC maturation through activation of RIG-I signaling, but lacks the ability to evade the human interferon response. To analyze this experimental model, we developed a new approach integrating genome-wide expression kinetics and time-dependent promoter analysis. We found that the genetic program underlying the antiviral cell state transition during the first 18-hours post-infection could be explained by a single regulatory network. Gene expression changes were driven by a step-wise multi-factor cascading control mechanism, where the specific transcription factors controlling expression changed over time. Within this network, most individual genes are regulated by multiple factors, indicating robustness against virus-encoded immune evasion genes. In addition to effectively recapitulating current biological knowledge, we predicted, and validated experimentally, antiviral roles for several novel transcription factors. More generally, our results show how a genetic program can be temporally controlled through a single regulatory network to achieve the large-scale genetic reprogramming characteristic of cell state transitions."}
{"STANDARD_NAME":"GSE18791_CTRL_VS_NEWCASTLE_VIRUS_DC_18H_UP","SYSTEMATIC_NAME":"M4283","ORGANISM":"Homo sapiens","PMID":"20164420","AUTHORS":"Zaslavsky E,Hershberg U,Seto J,Pham AM,Marquez S,Duke JL,Wetmur JG,Tenoever BR,Sealfon SC,Kleinstein SH.","GEOID":"GSE18791","EXACT_SOURCE":"GSE18791_1547_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control conventional dendritic cells (cDC) at 0 h versus cDCs infected with Newcastle disease virus (NDV) at 18 h.","DESCRIPTION_FULL":"The dendritic cell (DC) is a master regulator of immune responses. Pathogenic viruses subvert normal immune function in DCs through the expression of immune antagonists. Understanding how these antagonists interact with the host immune system requires knowledge of the underlying genetic regulatory network that operates during an uninhibited antiviral response. In order to isolate and identify this network, we studied DCs infected with Newcastle Disease Virus (NDV), which is able to stimulate innate immunity and DC maturation through activation of RIG-I signaling, but lacks the ability to evade the human interferon response. To analyze this experimental model, we developed a new approach integrating genome-wide expression kinetics and time-dependent promoter analysis. We found that the genetic program underlying the antiviral cell state transition during the first 18-hours post-infection could be explained by a single regulatory network. Gene expression changes were driven by a step-wise multi-factor cascading control mechanism, where the specific transcription factors controlling expression changed over time. Within this network, most individual genes are regulated by multiple factors, indicating robustness against virus-encoded immune evasion genes. In addition to effectively recapitulating current biological knowledge, we predicted, and validated experimentally, antiviral roles for several novel transcription factors. More generally, our results show how a genetic program can be temporally controlled through a single regulatory network to achieve the large-scale genetic reprogramming characteristic of cell state transitions."}
{"STANDARD_NAME":"GSE18791_CTRL_VS_NEWCASTLE_VIRUS_DC_18H_DN","SYSTEMATIC_NAME":"M4284","ORGANISM":"Homo sapiens","PMID":"20164420","AUTHORS":"Zaslavsky E,Hershberg U,Seto J,Pham AM,Marquez S,Duke JL,Wetmur JG,Tenoever BR,Sealfon SC,Kleinstein SH.","GEOID":"GSE18791","EXACT_SOURCE":"GSE18791_1547_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control conventional dendritic cells (cDC) at 0 h versus cDCs infected with Newcastle disease virus (NDV) at 18 h.","DESCRIPTION_FULL":"The dendritic cell (DC) is a master regulator of immune responses. Pathogenic viruses subvert normal immune function in DCs through the expression of immune antagonists. Understanding how these antagonists interact with the host immune system requires knowledge of the underlying genetic regulatory network that operates during an uninhibited antiviral response. In order to isolate and identify this network, we studied DCs infected with Newcastle Disease Virus (NDV), which is able to stimulate innate immunity and DC maturation through activation of RIG-I signaling, but lacks the ability to evade the human interferon response. To analyze this experimental model, we developed a new approach integrating genome-wide expression kinetics and time-dependent promoter analysis. We found that the genetic program underlying the antiviral cell state transition during the first 18-hours post-infection could be explained by a single regulatory network. Gene expression changes were driven by a step-wise multi-factor cascading control mechanism, where the specific transcription factors controlling expression changed over time. Within this network, most individual genes are regulated by multiple factors, indicating robustness against virus-encoded immune evasion genes. In addition to effectively recapitulating current biological knowledge, we predicted, and validated experimentally, antiviral roles for several novel transcription factors. More generally, our results show how a genetic program can be temporally controlled through a single regulatory network to achieve the large-scale genetic reprogramming characteristic of cell state transitions."}
{"STANDARD_NAME":"GSE18791_UNSTIM_VS_NEWCATSLE_VIRUS_DC_1H_UP","SYSTEMATIC_NAME":"M4285","ORGANISM":"Homo sapiens","PMID":"20164420","AUTHORS":"Zaslavsky E,Hershberg U,Seto J,Pham AM,Marquez S,Duke JL,Wetmur JG,Tenoever BR,Sealfon SC,Kleinstein SH.","GEOID":"GSE18791","EXACT_SOURCE":"GSE18791_1548_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control conventional dendritic cells (cDC) at 1 h versus cDCs infected with Newcastle disease virus (NDV) at 1 h.","DESCRIPTION_FULL":"The dendritic cell (DC) is a master regulator of immune responses. Pathogenic viruses subvert normal immune function in DCs through the expression of immune antagonists. Understanding how these antagonists interact with the host immune system requires knowledge of the underlying genetic regulatory network that operates during an uninhibited antiviral response. In order to isolate and identify this network, we studied DCs infected with Newcastle Disease Virus (NDV), which is able to stimulate innate immunity and DC maturation through activation of RIG-I signaling, but lacks the ability to evade the human interferon response. To analyze this experimental model, we developed a new approach integrating genome-wide expression kinetics and time-dependent promoter analysis. We found that the genetic program underlying the antiviral cell state transition during the first 18-hours post-infection could be explained by a single regulatory network. Gene expression changes were driven by a step-wise multi-factor cascading control mechanism, where the specific transcription factors controlling expression changed over time. Within this network, most individual genes are regulated by multiple factors, indicating robustness against virus-encoded immune evasion genes. In addition to effectively recapitulating current biological knowledge, we predicted, and validated experimentally, antiviral roles for several novel transcription factors. More generally, our results show how a genetic program can be temporally controlled through a single regulatory network to achieve the large-scale genetic reprogramming characteristic of cell state transitions."}
{"STANDARD_NAME":"GSE18791_UNSTIM_VS_NEWCATSLE_VIRUS_DC_1H_DN","SYSTEMATIC_NAME":"M4286","ORGANISM":"Homo sapiens","PMID":"20164420","AUTHORS":"Zaslavsky E,Hershberg U,Seto J,Pham AM,Marquez S,Duke JL,Wetmur JG,Tenoever BR,Sealfon SC,Kleinstein SH.","GEOID":"GSE18791","EXACT_SOURCE":"GSE18791_1548_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control conventional dendritic cells (cDC) at 1 h versus cDCs infected with Newcastle disease virus (NDV) at 1 h.","DESCRIPTION_FULL":"The dendritic cell (DC) is a master regulator of immune responses. Pathogenic viruses subvert normal immune function in DCs through the expression of immune antagonists. Understanding how these antagonists interact with the host immune system requires knowledge of the underlying genetic regulatory network that operates during an uninhibited antiviral response. In order to isolate and identify this network, we studied DCs infected with Newcastle Disease Virus (NDV), which is able to stimulate innate immunity and DC maturation through activation of RIG-I signaling, but lacks the ability to evade the human interferon response. To analyze this experimental model, we developed a new approach integrating genome-wide expression kinetics and time-dependent promoter analysis. We found that the genetic program underlying the antiviral cell state transition during the first 18-hours post-infection could be explained by a single regulatory network. Gene expression changes were driven by a step-wise multi-factor cascading control mechanism, where the specific transcription factors controlling expression changed over time. Within this network, most individual genes are regulated by multiple factors, indicating robustness against virus-encoded immune evasion genes. In addition to effectively recapitulating current biological knowledge, we predicted, and validated experimentally, antiviral roles for several novel transcription factors. More generally, our results show how a genetic program can be temporally controlled through a single regulatory network to achieve the large-scale genetic reprogramming characteristic of cell state transitions."}
{"STANDARD_NAME":"GSE18791_UNSTIM_VS_NEWCATSLE_VIRUS_DC_2H_UP","SYSTEMATIC_NAME":"M4287","ORGANISM":"Homo sapiens","PMID":"20164420","AUTHORS":"Zaslavsky E,Hershberg U,Seto J,Pham AM,Marquez S,Duke JL,Wetmur JG,Tenoever BR,Sealfon SC,Kleinstein SH.","GEOID":"GSE18791","EXACT_SOURCE":"GSE18791_1549_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control conventional dendritic cells (cDC) at 2 h versus cDCs infected with Newcastle disease virus (NDV) at 2 h.","DESCRIPTION_FULL":"The dendritic cell (DC) is a master regulator of immune responses. Pathogenic viruses subvert normal immune function in DCs through the expression of immune antagonists. Understanding how these antagonists interact with the host immune system requires knowledge of the underlying genetic regulatory network that operates during an uninhibited antiviral response. In order to isolate and identify this network, we studied DCs infected with Newcastle Disease Virus (NDV), which is able to stimulate innate immunity and DC maturation through activation of RIG-I signaling, but lacks the ability to evade the human interferon response. To analyze this experimental model, we developed a new approach integrating genome-wide expression kinetics and time-dependent promoter analysis. We found that the genetic program underlying the antiviral cell state transition during the first 18-hours post-infection could be explained by a single regulatory network. Gene expression changes were driven by a step-wise multi-factor cascading control mechanism, where the specific transcription factors controlling expression changed over time. Within this network, most individual genes are regulated by multiple factors, indicating robustness against virus-encoded immune evasion genes. In addition to effectively recapitulating current biological knowledge, we predicted, and validated experimentally, antiviral roles for several novel transcription factors. More generally, our results show how a genetic program can be temporally controlled through a single regulatory network to achieve the large-scale genetic reprogramming characteristic of cell state transitions."}
{"STANDARD_NAME":"GSE18791_UNSTIM_VS_NEWCATSLE_VIRUS_DC_2H_DN","SYSTEMATIC_NAME":"M4289","ORGANISM":"Homo sapiens","PMID":"20164420","AUTHORS":"Zaslavsky E,Hershberg U,Seto J,Pham AM,Marquez S,Duke JL,Wetmur JG,Tenoever BR,Sealfon SC,Kleinstein SH.","GEOID":"GSE18791","EXACT_SOURCE":"GSE18791_1549_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control conventional dendritic cells (cDC) at 2 h versus cDCs infected with Newcastle disease virus (NDV) at 2 h.","DESCRIPTION_FULL":"The dendritic cell (DC) is a master regulator of immune responses. Pathogenic viruses subvert normal immune function in DCs through the expression of immune antagonists. Understanding how these antagonists interact with the host immune system requires knowledge of the underlying genetic regulatory network that operates during an uninhibited antiviral response. In order to isolate and identify this network, we studied DCs infected with Newcastle Disease Virus (NDV), which is able to stimulate innate immunity and DC maturation through activation of RIG-I signaling, but lacks the ability to evade the human interferon response. To analyze this experimental model, we developed a new approach integrating genome-wide expression kinetics and time-dependent promoter analysis. We found that the genetic program underlying the antiviral cell state transition during the first 18-hours post-infection could be explained by a single regulatory network. Gene expression changes were driven by a step-wise multi-factor cascading control mechanism, where the specific transcription factors controlling expression changed over time. Within this network, most individual genes are regulated by multiple factors, indicating robustness against virus-encoded immune evasion genes. In addition to effectively recapitulating current biological knowledge, we predicted, and validated experimentally, antiviral roles for several novel transcription factors. More generally, our results show how a genetic program can be temporally controlled through a single regulatory network to achieve the large-scale genetic reprogramming characteristic of cell state transitions."}
{"STANDARD_NAME":"GSE18791_UNSTIM_VS_NEWCATSLE_VIRUS_DC_6H_UP","SYSTEMATIC_NAME":"M4291","ORGANISM":"Homo sapiens","PMID":"20164420","AUTHORS":"Zaslavsky E,Hershberg U,Seto J,Pham AM,Marquez S,Duke JL,Wetmur JG,Tenoever BR,Sealfon SC,Kleinstein SH.","GEOID":"GSE18791","EXACT_SOURCE":"GSE18791_1550_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control conventional dendritic cells (cDC) at 6 h versus cDCs infected with Newcastle disease virus (NDV) at 6 h.","DESCRIPTION_FULL":"The dendritic cell (DC) is a master regulator of immune responses. Pathogenic viruses subvert normal immune function in DCs through the expression of immune antagonists. Understanding how these antagonists interact with the host immune system requires knowledge of the underlying genetic regulatory network that operates during an uninhibited antiviral response. In order to isolate and identify this network, we studied DCs infected with Newcastle Disease Virus (NDV), which is able to stimulate innate immunity and DC maturation through activation of RIG-I signaling, but lacks the ability to evade the human interferon response. To analyze this experimental model, we developed a new approach integrating genome-wide expression kinetics and time-dependent promoter analysis. We found that the genetic program underlying the antiviral cell state transition during the first 18-hours post-infection could be explained by a single regulatory network. Gene expression changes were driven by a step-wise multi-factor cascading control mechanism, where the specific transcription factors controlling expression changed over time. Within this network, most individual genes are regulated by multiple factors, indicating robustness against virus-encoded immune evasion genes. In addition to effectively recapitulating current biological knowledge, we predicted, and validated experimentally, antiviral roles for several novel transcription factors. More generally, our results show how a genetic program can be temporally controlled through a single regulatory network to achieve the large-scale genetic reprogramming characteristic of cell state transitions."}
{"STANDARD_NAME":"GSE18791_UNSTIM_VS_NEWCATSLE_VIRUS_DC_6H_DN","SYSTEMATIC_NAME":"M4292","ORGANISM":"Homo sapiens","PMID":"20164420","AUTHORS":"Zaslavsky E,Hershberg U,Seto J,Pham AM,Marquez S,Duke JL,Wetmur JG,Tenoever BR,Sealfon SC,Kleinstein SH.","GEOID":"GSE18791","EXACT_SOURCE":"GSE18791_1550_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control conventional dendritic cells (cDC) at 6 h versus cDCs infected with Newcastle disease virus (NDV) at 6 h.","DESCRIPTION_FULL":"The dendritic cell (DC) is a master regulator of immune responses. Pathogenic viruses subvert normal immune function in DCs through the expression of immune antagonists. Understanding how these antagonists interact with the host immune system requires knowledge of the underlying genetic regulatory network that operates during an uninhibited antiviral response. In order to isolate and identify this network, we studied DCs infected with Newcastle Disease Virus (NDV), which is able to stimulate innate immunity and DC maturation through activation of RIG-I signaling, but lacks the ability to evade the human interferon response. To analyze this experimental model, we developed a new approach integrating genome-wide expression kinetics and time-dependent promoter analysis. We found that the genetic program underlying the antiviral cell state transition during the first 18-hours post-infection could be explained by a single regulatory network. Gene expression changes were driven by a step-wise multi-factor cascading control mechanism, where the specific transcription factors controlling expression changed over time. Within this network, most individual genes are regulated by multiple factors, indicating robustness against virus-encoded immune evasion genes. In addition to effectively recapitulating current biological knowledge, we predicted, and validated experimentally, antiviral roles for several novel transcription factors. More generally, our results show how a genetic program can be temporally controlled through a single regulatory network to achieve the large-scale genetic reprogramming characteristic of cell state transitions."}
{"STANDARD_NAME":"GSE18791_UNSTIM_VS_NEWCATSLE_VIRUS_DC_10H_UP","SYSTEMATIC_NAME":"M4293","ORGANISM":"Homo sapiens","PMID":"20164420","AUTHORS":"Zaslavsky E,Hershberg U,Seto J,Pham AM,Marquez S,Duke JL,Wetmur JG,Tenoever BR,Sealfon SC,Kleinstein SH.","GEOID":"GSE18791","EXACT_SOURCE":"GSE18791_1551_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control conventional dendritic cells (cDC) at 10 h versus cDCs infected with Newcastle disease virus (NDV) at 10 h.","DESCRIPTION_FULL":"The dendritic cell (DC) is a master regulator of immune responses. Pathogenic viruses subvert normal immune function in DCs through the expression of immune antagonists. Understanding how these antagonists interact with the host immune system requires knowledge of the underlying genetic regulatory network that operates during an uninhibited antiviral response. In order to isolate and identify this network, we studied DCs infected with Newcastle Disease Virus (NDV), which is able to stimulate innate immunity and DC maturation through activation of RIG-I signaling, but lacks the ability to evade the human interferon response. To analyze this experimental model, we developed a new approach integrating genome-wide expression kinetics and time-dependent promoter analysis. We found that the genetic program underlying the antiviral cell state transition during the first 18-hours post-infection could be explained by a single regulatory network. Gene expression changes were driven by a step-wise multi-factor cascading control mechanism, where the specific transcription factors controlling expression changed over time. Within this network, most individual genes are regulated by multiple factors, indicating robustness against virus-encoded immune evasion genes. In addition to effectively recapitulating current biological knowledge, we predicted, and validated experimentally, antiviral roles for several novel transcription factors. More generally, our results show how a genetic program can be temporally controlled through a single regulatory network to achieve the large-scale genetic reprogramming characteristic of cell state transitions."}
{"STANDARD_NAME":"GSE18791_UNSTIM_VS_NEWCATSLE_VIRUS_DC_10H_DN","SYSTEMATIC_NAME":"M4294","ORGANISM":"Homo sapiens","PMID":"20164420","AUTHORS":"Zaslavsky E,Hershberg U,Seto J,Pham AM,Marquez S,Duke JL,Wetmur JG,Tenoever BR,Sealfon SC,Kleinstein SH.","GEOID":"GSE18791","EXACT_SOURCE":"GSE18791_1551_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control conventional dendritic cells (cDC) at 10 h versus cDCs infected with Newcastle disease virus (NDV) at 10 h.","DESCRIPTION_FULL":"The dendritic cell (DC) is a master regulator of immune responses. Pathogenic viruses subvert normal immune function in DCs through the expression of immune antagonists. Understanding how these antagonists interact with the host immune system requires knowledge of the underlying genetic regulatory network that operates during an uninhibited antiviral response. In order to isolate and identify this network, we studied DCs infected with Newcastle Disease Virus (NDV), which is able to stimulate innate immunity and DC maturation through activation of RIG-I signaling, but lacks the ability to evade the human interferon response. To analyze this experimental model, we developed a new approach integrating genome-wide expression kinetics and time-dependent promoter analysis. We found that the genetic program underlying the antiviral cell state transition during the first 18-hours post-infection could be explained by a single regulatory network. Gene expression changes were driven by a step-wise multi-factor cascading control mechanism, where the specific transcription factors controlling expression changed over time. Within this network, most individual genes are regulated by multiple factors, indicating robustness against virus-encoded immune evasion genes. In addition to effectively recapitulating current biological knowledge, we predicted, and validated experimentally, antiviral roles for several novel transcription factors. More generally, our results show how a genetic program can be temporally controlled through a single regulatory network to achieve the large-scale genetic reprogramming characteristic of cell state transitions."}
{"STANDARD_NAME":"GSE18791_UNSTIM_VS_NEWCATSLE_VIRUS_DC_18H_UP","SYSTEMATIC_NAME":"M4295","ORGANISM":"Homo sapiens","PMID":"20164420","AUTHORS":"Zaslavsky E,Hershberg U,Seto J,Pham AM,Marquez S,Duke JL,Wetmur JG,Tenoever BR,Sealfon SC,Kleinstein SH.","GEOID":"GSE18791","EXACT_SOURCE":"GSE18791_1552_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control conventional dendritic cells (cDC) at 18 h versus cDCs infected with Newcastle disease virus (NDV) at 18 h.","DESCRIPTION_FULL":"The dendritic cell (DC) is a master regulator of immune responses. Pathogenic viruses subvert normal immune function in DCs through the expression of immune antagonists. Understanding how these antagonists interact with the host immune system requires knowledge of the underlying genetic regulatory network that operates during an uninhibited antiviral response. In order to isolate and identify this network, we studied DCs infected with Newcastle Disease Virus (NDV), which is able to stimulate innate immunity and DC maturation through activation of RIG-I signaling, but lacks the ability to evade the human interferon response. To analyze this experimental model, we developed a new approach integrating genome-wide expression kinetics and time-dependent promoter analysis. We found that the genetic program underlying the antiviral cell state transition during the first 18-hours post-infection could be explained by a single regulatory network. Gene expression changes were driven by a step-wise multi-factor cascading control mechanism, where the specific transcription factors controlling expression changed over time. Within this network, most individual genes are regulated by multiple factors, indicating robustness against virus-encoded immune evasion genes. In addition to effectively recapitulating current biological knowledge, we predicted, and validated experimentally, antiviral roles for several novel transcription factors. More generally, our results show how a genetic program can be temporally controlled through a single regulatory network to achieve the large-scale genetic reprogramming characteristic of cell state transitions."}
{"STANDARD_NAME":"GSE18791_UNSTIM_VS_NEWCATSLE_VIRUS_DC_18H_DN","SYSTEMATIC_NAME":"M4296","ORGANISM":"Homo sapiens","PMID":"20164420","AUTHORS":"Zaslavsky E,Hershberg U,Seto J,Pham AM,Marquez S,Duke JL,Wetmur JG,Tenoever BR,Sealfon SC,Kleinstein SH.","GEOID":"GSE18791","EXACT_SOURCE":"GSE18791_1552_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control conventional dendritic cells (cDC) at 18 h versus cDCs infected with Newcastle disease virus (NDV) at 18 h.","DESCRIPTION_FULL":"The dendritic cell (DC) is a master regulator of immune responses. Pathogenic viruses subvert normal immune function in DCs through the expression of immune antagonists. Understanding how these antagonists interact with the host immune system requires knowledge of the underlying genetic regulatory network that operates during an uninhibited antiviral response. In order to isolate and identify this network, we studied DCs infected with Newcastle Disease Virus (NDV), which is able to stimulate innate immunity and DC maturation through activation of RIG-I signaling, but lacks the ability to evade the human interferon response. To analyze this experimental model, we developed a new approach integrating genome-wide expression kinetics and time-dependent promoter analysis. We found that the genetic program underlying the antiviral cell state transition during the first 18-hours post-infection could be explained by a single regulatory network. Gene expression changes were driven by a step-wise multi-factor cascading control mechanism, where the specific transcription factors controlling expression changed over time. Within this network, most individual genes are regulated by multiple factors, indicating robustness against virus-encoded immune evasion genes. In addition to effectively recapitulating current biological knowledge, we predicted, and validated experimentally, antiviral roles for several novel transcription factors. More generally, our results show how a genetic program can be temporally controlled through a single regulatory network to achieve the large-scale genetic reprogramming characteristic of cell state transitions."}
{"STANDARD_NAME":"GSE19825_NAIVE_VS_IL2RALOW_DAY3_EFF_CD8_TCELL_UP","SYSTEMATIC_NAME":"M4297","ORGANISM":"Mus musculus","PMID":"20096608","AUTHORS":"Kalia V,Sarkar S,Subramaniam S,Haining WN,Smith KA,Ahmed R.","GEOID":"GSE19825","EXACT_SOURCE":"GSE19825_1387_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive CD8 T cells versus effector CD8 IL2RA [GeneID=3559] low T cells at.","DESCRIPTION_FULL":"CD25, the high affinity interleukin-2 (IL-2) receptor alpha-chain, is rapidly upregulated by antigen-specific CD8+ T cells after T cell receptor stimulation. We demonstrated that during an acute viral infection, CD25 expression was dynamic, and a subset of virus-specific CD8+ T cells sustained CD25 expression longer than the rest. Examination of the in vivo fate of effector CD8+ T cells exhibiting differential responsiveness to IL-2 revealed that CD25lo cells, which were relatively less sensitive to IL-2, preferentially upregulated CD127 and CD62L and gave rise to the functional long-lived memory pool. In contrast, CD25hi cells that accumulate enhanced IL-2 signals, proliferated more rapidly, were prone to apoptosis, exhibited a more pronounced effector phenotype, and appeared to be terminally differentiated. Sustained IL-2 receptor signaling resulted in increased CD8+ T cell proliferation, higher granzyme B expression and exaggerated contraction after antigen clearance. These data support the hypothesis that prolonged IL-2 signals during priming promote terminal effector differentiation of CD8+ T cells."}
{"STANDARD_NAME":"GSE19825_NAIVE_VS_IL2RALOW_DAY3_EFF_CD8_TCELL_DN","SYSTEMATIC_NAME":"M4298","ORGANISM":"Mus musculus","PMID":"20096608","AUTHORS":"Kalia V,Sarkar S,Subramaniam S,Haining WN,Smith KA,Ahmed R.","GEOID":"GSE19825","EXACT_SOURCE":"GSE19825_1387_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive CD8 T cells versus effector CD8 IL2RA [GeneID=3559] low T cells at.","DESCRIPTION_FULL":"CD25, the high affinity interleukin-2 (IL-2) receptor alpha-chain, is rapidly upregulated by antigen-specific CD8+ T cells after T cell receptor stimulation. We demonstrated that during an acute viral infection, CD25 expression was dynamic, and a subset of virus-specific CD8+ T cells sustained CD25 expression longer than the rest. Examination of the in vivo fate of effector CD8+ T cells exhibiting differential responsiveness to IL-2 revealed that CD25lo cells, which were relatively less sensitive to IL-2, preferentially upregulated CD127 and CD62L and gave rise to the functional long-lived memory pool. In contrast, CD25hi cells that accumulate enhanced IL-2 signals, proliferated more rapidly, were prone to apoptosis, exhibited a more pronounced effector phenotype, and appeared to be terminally differentiated. Sustained IL-2 receptor signaling resulted in increased CD8+ T cell proliferation, higher granzyme B expression and exaggerated contraction after antigen clearance. These data support the hypothesis that prolonged IL-2 signals during priming promote terminal effector differentiation of CD8+ T cells."}
{"STANDARD_NAME":"GSE19825_NAIVE_VS_IL2RAHIGH_DAY3_EFF_CD8_TCELL_UP","SYSTEMATIC_NAME":"M4299","ORGANISM":"Mus musculus","PMID":"20096608","AUTHORS":"Kalia V,Sarkar S,Subramaniam S,Haining WN,Smith KA,Ahmed R.","GEOID":"GSE19825","EXACT_SOURCE":"GSE19825_1388_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive CD8 T cells versus effector CD8 IL2RA [GeneID=3559] high T cells at.","DESCRIPTION_FULL":"CD25, the high affinity interleukin-2 (IL-2) receptor alpha-chain, is rapidly upregulated by antigen-specific CD8+ T cells after T cell receptor stimulation. We demonstrated that during an acute viral infection, CD25 expression was dynamic, and a subset of virus-specific CD8+ T cells sustained CD25 expression longer than the rest. Examination of the in vivo fate of effector CD8+ T cells exhibiting differential responsiveness to IL-2 revealed that CD25lo cells, which were relatively less sensitive to IL-2, preferentially upregulated CD127 and CD62L and gave rise to the functional long-lived memory pool. In contrast, CD25hi cells that accumulate enhanced IL-2 signals, proliferated more rapidly, were prone to apoptosis, exhibited a more pronounced effector phenotype, and appeared to be terminally differentiated. Sustained IL-2 receptor signaling resulted in increased CD8+ T cell proliferation, higher granzyme B expression and exaggerated contraction after antigen clearance. These data support the hypothesis that prolonged IL-2 signals during priming promote terminal effector differentiation of CD8+ T cells."}
{"STANDARD_NAME":"GSE19825_NAIVE_VS_IL2RAHIGH_DAY3_EFF_CD8_TCELL_DN","SYSTEMATIC_NAME":"M4300","ORGANISM":"Mus musculus","PMID":"20096608","AUTHORS":"Kalia V,Sarkar S,Subramaniam S,Haining WN,Smith KA,Ahmed R.","GEOID":"GSE19825","EXACT_SOURCE":"GSE19825_1388_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive CD8 T cells versus effector CD8 IL2RA [GeneID=3559] high T cells at.","DESCRIPTION_FULL":"CD25, the high affinity interleukin-2 (IL-2) receptor alpha-chain, is rapidly upregulated by antigen-specific CD8+ T cells after T cell receptor stimulation. We demonstrated that during an acute viral infection, CD25 expression was dynamic, and a subset of virus-specific CD8+ T cells sustained CD25 expression longer than the rest. Examination of the in vivo fate of effector CD8+ T cells exhibiting differential responsiveness to IL-2 revealed that CD25lo cells, which were relatively less sensitive to IL-2, preferentially upregulated CD127 and CD62L and gave rise to the functional long-lived memory pool. In contrast, CD25hi cells that accumulate enhanced IL-2 signals, proliferated more rapidly, were prone to apoptosis, exhibited a more pronounced effector phenotype, and appeared to be terminally differentiated. Sustained IL-2 receptor signaling resulted in increased CD8+ T cell proliferation, higher granzyme B expression and exaggerated contraction after antigen clearance. These data support the hypothesis that prolonged IL-2 signals during priming promote terminal effector differentiation of CD8+ T cells."}
{"STANDARD_NAME":"GSE19825_CD24LOW_VS_IL2RA_HIGH_DAY3_EFF_CD8_TCELL_UP","SYSTEMATIC_NAME":"M4301","ORGANISM":"Mus musculus","PMID":"20096608","AUTHORS":"Kalia V,Sarkar S,Subramaniam S,Haining WN,Smith KA,Ahmed R.","GEOID":"GSE19825","EXACT_SOURCE":"GSE19825_1389_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of effector CD8 IL2RA [GeneID=3559] low T cells versus effector CD8 IL2RA [GeneID=3559] high cells.","DESCRIPTION_FULL":"CD25, the high affinity interleukin-2 (IL-2) receptor alpha-chain, is rapidly upregulated by antigen-specific CD8+ T cells after T cell receptor stimulation. We demonstrated that during an acute viral infection, CD25 expression was dynamic, and a subset of virus-specific CD8+ T cells sustained CD25 expression longer than the rest. Examination of the in vivo fate of effector CD8+ T cells exhibiting differential responsiveness to IL-2 revealed that CD25lo cells, which were relatively less sensitive to IL-2, preferentially upregulated CD127 and CD62L and gave rise to the functional long-lived memory pool. In contrast, CD25hi cells that accumulate enhanced IL-2 signals, proliferated more rapidly, were prone to apoptosis, exhibited a more pronounced effector phenotype, and appeared to be terminally differentiated. Sustained IL-2 receptor signaling resulted in increased CD8+ T cell proliferation, higher granzyme B expression and exaggerated contraction after antigen clearance. These data support the hypothesis that prolonged IL-2 signals during priming promote terminal effector differentiation of CD8+ T cells."}
{"STANDARD_NAME":"GSE19825_CD24LOW_VS_IL2RA_HIGH_DAY3_EFF_CD8_TCELL_DN","SYSTEMATIC_NAME":"M4302","ORGANISM":"Mus musculus","PMID":"20096608","AUTHORS":"Kalia V,Sarkar S,Subramaniam S,Haining WN,Smith KA,Ahmed R.","GEOID":"GSE19825","EXACT_SOURCE":"GSE19825_1389_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of effector CD8 IL2RA [GeneID=3559] low T cells versus effector CD8 IL2RA [GeneID=3559] high cells.","DESCRIPTION_FULL":"CD25, the high affinity interleukin-2 (IL-2) receptor alpha-chain, is rapidly upregulated by antigen-specific CD8+ T cells after T cell receptor stimulation. We demonstrated that during an acute viral infection, CD25 expression was dynamic, and a subset of virus-specific CD8+ T cells sustained CD25 expression longer than the rest. Examination of the in vivo fate of effector CD8+ T cells exhibiting differential responsiveness to IL-2 revealed that CD25lo cells, which were relatively less sensitive to IL-2, preferentially upregulated CD127 and CD62L and gave rise to the functional long-lived memory pool. In contrast, CD25hi cells that accumulate enhanced IL-2 signals, proliferated more rapidly, were prone to apoptosis, exhibited a more pronounced effector phenotype, and appeared to be terminally differentiated. Sustained IL-2 receptor signaling resulted in increased CD8+ T cell proliferation, higher granzyme B expression and exaggerated contraction after antigen clearance. These data support the hypothesis that prolonged IL-2 signals during priming promote terminal effector differentiation of CD8+ T cells."}
{"STANDARD_NAME":"GSE19825_NAIVE_VS_DAY3_EFF_CD8_TCELL_UP","SYSTEMATIC_NAME":"M4305","ORGANISM":"Mus musculus","PMID":"20096608","AUTHORS":"Kalia V,Sarkar S,Subramaniam S,Haining WN,Smith KA,Ahmed R.","GEOID":"GSE19825","EXACT_SOURCE":"GSE19825_1390_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive vs effector CD8 T cells (3.5 days postinfection).","DESCRIPTION_FULL":"CD25, the high affinity interleukin-2 (IL-2) receptor alpha-chain, is rapidly upregulated by antigen-specific CD8+ T cells after T cell receptor stimulation. We demonstrated that during an acute viral infection, CD25 expression was dynamic, and a subset of virus-specific CD8+ T cells sustained CD25 expression longer than the rest. Examination of the in vivo fate of effector CD8+ T cells exhibiting differential responsiveness to IL-2 revealed that CD25lo cells, which were relatively less sensitive to IL-2, preferentially upregulated CD127 and CD62L and gave rise to the functional long-lived memory pool. In contrast, CD25hi cells that accumulate enhanced IL-2 signals, proliferated more rapidly, were prone to apoptosis, exhibited a more pronounced effector phenotype, and appeared to be terminally differentiated. Sustained IL-2 receptor signaling resulted in increased CD8+ T cell proliferation, higher granzyme B expression and exaggerated contraction after antigen clearance. These data support the hypothesis that prolonged IL-2 signals during priming promote terminal effector differentiation of CD8+ T cells."}
{"STANDARD_NAME":"GSE19825_NAIVE_VS_DAY3_EFF_CD8_TCELL_DN","SYSTEMATIC_NAME":"M4307","ORGANISM":"Mus musculus","PMID":"20096608","AUTHORS":"Kalia V,Sarkar S,Subramaniam S,Haining WN,Smith KA,Ahmed R.","GEOID":"GSE19825","EXACT_SOURCE":"GSE19825_1390_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive vs effector CD8 T cells (3.5 days postinfection).","DESCRIPTION_FULL":"CD25, the high affinity interleukin-2 (IL-2) receptor alpha-chain, is rapidly upregulated by antigen-specific CD8+ T cells after T cell receptor stimulation. We demonstrated that during an acute viral infection, CD25 expression was dynamic, and a subset of virus-specific CD8+ T cells sustained CD25 expression longer than the rest. Examination of the in vivo fate of effector CD8+ T cells exhibiting differential responsiveness to IL-2 revealed that CD25lo cells, which were relatively less sensitive to IL-2, preferentially upregulated CD127 and CD62L and gave rise to the functional long-lived memory pool. In contrast, CD25hi cells that accumulate enhanced IL-2 signals, proliferated more rapidly, were prone to apoptosis, exhibited a more pronounced effector phenotype, and appeared to be terminally differentiated. Sustained IL-2 receptor signaling resulted in increased CD8+ T cell proliferation, higher granzyme B expression and exaggerated contraction after antigen clearance. These data support the hypothesis that prolonged IL-2 signals during priming promote terminal effector differentiation of CD8+ T cells."}
{"STANDARD_NAME":"GSE20151_CTRL_VS_FUSOBACT_NUCLEATUM_NEUTROPHIL_UP","SYSTEMATIC_NAME":"M4309","ORGANISM":"Homo sapiens","PMID":"20663022","AUTHORS":"Wright HJ,Chapple IL,Matthews JB,Cooper PR.","GEOID":"GSE20151","EXACT_SOURCE":"GSE20151_2128_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of contols neutrophils versus those infected with a bacterium (F. nucleatum).","DESCRIPTION_FULL":"Neutrophils are known to be stimulated by different periodontal bacteria to produce reactive oxygen species and cytokines. It is inportant to investigate the gene changes made by bacteria of importance, of which, for periodontal disease, fusobaterium nucleatum is one. we used microarrays to investigate gene experssion changes in peripheral blood neutrophils werwhich e stimulated with or with out Fusobacterium Nucleatum (10953)."}
{"STANDARD_NAME":"GSE20151_CTRL_VS_FUSOBACT_NUCLEATUM_NEUTROPHIL_DN","SYSTEMATIC_NAME":"M4310","ORGANISM":"Homo sapiens","PMID":"20663022","AUTHORS":"Wright HJ,Chapple IL,Matthews JB,Cooper PR.","GEOID":"GSE20151","EXACT_SOURCE":"GSE20151_2128_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of contols neutrophils versus those infected with a bacterium (F. nucleatum).","DESCRIPTION_FULL":"Neutrophils are known to be stimulated by different periodontal bacteria to produce reactive oxygen species and cytokines. It is inportant to investigate the gene changes made by bacteria of importance, of which, for periodontal disease, fusobaterium nucleatum is one. we used microarrays to investigate gene experssion changes in peripheral blood neutrophils werwhich e stimulated with or with out Fusobacterium Nucleatum (10953)."}
{"STANDARD_NAME":"GSE20366_TREG_VS_TCONV_UP","SYSTEMATIC_NAME":"M4311","ORGANISM":"Mus musculus","PMID":"20231436","AUTHORS":"Feuerer M,Hill JA,Kretschmer K,von Boehmer H,Mathis D,Benoist C.","GEOID":"GSE20366","EXACT_SOURCE":"GSE20366_1426_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of TregCD103-Klrg1 versus TconvLP (see Table 1S in the paper for details).","DESCRIPTION_FULL":"Regulatory T (Treg) cells that express the FoxP3 transcription factor are essential for lymphoid homeostasis and immune tolerance to self. Other non-immunological functions of Treg cells, such as controlling metabolic function in adipose tissue, are also emerging. Treg cells originate primarily in the thymus, but can also be elicited from conventional T cells by in vivo exposure to low-dose antigen or homeostatic expansion, or by activation in the presence of TGFβ in vitro. Treg cells are characterized by a distinct transcriptional signature controlled in part, but not solely, by FoxP3. For a better perspective on transcriptional control in Treg cells, we compared gene expression profiles of a broad panel of Treg cells from various origins or anatomical locations. Treg cells generated by different means form different sub-phenotypes identifiable by particular combinations of transcripts, none of which fully encompass the entire Treg signature. Molecules involved in Treg effector function, chemokine receptors, and the transcription factors that control them are differentially represented in these subphenotypes. Treg cells from the gut proved dissimilar to cells elicited by exposure to TGFβ, but instead they resembled a CD103+Klrg1+ subphenotype preferentially generated in response to lymphopenia."}
{"STANDARD_NAME":"GSE20366_TREG_VS_TCONV_DN","SYSTEMATIC_NAME":"M4312","ORGANISM":"Mus musculus","PMID":"20231436","AUTHORS":"Feuerer M,Hill JA,Kretschmer K,von Boehmer H,Mathis D,Benoist C.","GEOID":"GSE20366","EXACT_SOURCE":"GSE20366_1426_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of TregCD103-Klrg1 versus TconvLP (see Table 1S in the paper for details).","DESCRIPTION_FULL":"Regulatory T (Treg) cells that express the FoxP3 transcription factor are essential for lymphoid homeostasis and immune tolerance to self. Other non-immunological functions of Treg cells, such as controlling metabolic function in adipose tissue, are also emerging. Treg cells originate primarily in the thymus, but can also be elicited from conventional T cells by in vivo exposure to low-dose antigen or homeostatic expansion, or by activation in the presence of TGFβ in vitro. Treg cells are characterized by a distinct transcriptional signature controlled in part, but not solely, by FoxP3. For a better perspective on transcriptional control in Treg cells, we compared gene expression profiles of a broad panel of Treg cells from various origins or anatomical locations. Treg cells generated by different means form different sub-phenotypes identifiable by particular combinations of transcripts, none of which fully encompass the entire Treg signature. Molecules involved in Treg effector function, chemokine receptors, and the transcription factors that control them are differentially represented in these subphenotypes. Treg cells from the gut proved dissimilar to cells elicited by exposure to TGFβ, but instead they resembled a CD103+Klrg1+ subphenotype preferentially generated in response to lymphopenia."}
{"STANDARD_NAME":"GSE20366_EX_VIVO_VS_HOMEOSTATIC_CONVERSION_TREG_UP","SYSTEMATIC_NAME":"M4313","ORGANISM":"Mus musculus","PMID":"20231436","AUTHORS":"Feuerer M,Hill JA,Kretschmer K,von Boehmer H,Mathis D,Benoist C.","GEOID":"GSE20366","EXACT_SOURCE":"GSE20366_1427_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of TregLP versus Homeo Convert (see Table 1S in the paper for details).","DESCRIPTION_FULL":"Regulatory T (Treg) cells that express the FoxP3 transcription factor are essential for lymphoid homeostasis and immune tolerance to self. Other non-immunological functions of Treg cells, such as controlling metabolic function in adipose tissue, are also emerging. Treg cells originate primarily in the thymus, but can also be elicited from conventional T cells by in vivo exposure to low-dose antigen or homeostatic expansion, or by activation in the presence of TGFβ in vitro. Treg cells are characterized by a distinct transcriptional signature controlled in part, but not solely, by FoxP3. For a better perspective on transcriptional control in Treg cells, we compared gene expression profiles of a broad panel of Treg cells from various origins or anatomical locations. Treg cells generated by different means form different sub-phenotypes identifiable by particular combinations of transcripts, none of which fully encompass the entire Treg signature. Molecules involved in Treg effector function, chemokine receptors, and the transcription factors that control them are differentially represented in these subphenotypes. Treg cells from the gut proved dissimilar to cells elicited by exposure to TGFβ, but instead they resembled a CD103+Klrg1+ subphenotype preferentially generated in response to lymphopenia."}
{"STANDARD_NAME":"GSE20366_EX_VIVO_VS_HOMEOSTATIC_CONVERSION_TREG_DN","SYSTEMATIC_NAME":"M4314","ORGANISM":"Mus musculus","PMID":"20231436","AUTHORS":"Feuerer M,Hill JA,Kretschmer K,von Boehmer H,Mathis D,Benoist C.","GEOID":"GSE20366","EXACT_SOURCE":"GSE20366_1427_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of TregLP versus Homeo Convert (see Table 1S in the paper for details).","DESCRIPTION_FULL":"Regulatory T (Treg) cells that express the FoxP3 transcription factor are essential for lymphoid homeostasis and immune tolerance to self. Other non-immunological functions of Treg cells, such as controlling metabolic function in adipose tissue, are also emerging. Treg cells originate primarily in the thymus, but can also be elicited from conventional T cells by in vivo exposure to low-dose antigen or homeostatic expansion, or by activation in the presence of TGFβ in vitro. Treg cells are characterized by a distinct transcriptional signature controlled in part, but not solely, by FoxP3. For a better perspective on transcriptional control in Treg cells, we compared gene expression profiles of a broad panel of Treg cells from various origins or anatomical locations. Treg cells generated by different means form different sub-phenotypes identifiable by particular combinations of transcripts, none of which fully encompass the entire Treg signature. Molecules involved in Treg effector function, chemokine receptors, and the transcription factors that control them are differentially represented in these subphenotypes. Treg cells from the gut proved dissimilar to cells elicited by exposure to TGFβ, but instead they resembled a CD103+Klrg1+ subphenotype preferentially generated in response to lymphopenia."}
{"STANDARD_NAME":"GSE20366_EX_VIVO_VS_DEC205_CONVERSION_UP","SYSTEMATIC_NAME":"M4316","ORGANISM":"Mus musculus","PMID":"20231436","AUTHORS":"Feuerer M,Hill JA,Kretschmer K,von Boehmer H,Mathis D,Benoist C.","GEOID":"GSE20366","EXACT_SOURCE":"GSE20366_1428_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of TregLP versus DEC-Pept Convert (see Table 1S in the paper for details).","DESCRIPTION_FULL":"Regulatory T (Treg) cells that express the FoxP3 transcription factor are essential for lymphoid homeostasis and immune tolerance to self. Other non-immunological functions of Treg cells, such as controlling metabolic function in adipose tissue, are also emerging. Treg cells originate primarily in the thymus, but can also be elicited from conventional T cells by in vivo exposure to low-dose antigen or homeostatic expansion, or by activation in the presence of TGFβ in vitro. Treg cells are characterized by a distinct transcriptional signature controlled in part, but not solely, by FoxP3. For a better perspective on transcriptional control in Treg cells, we compared gene expression profiles of a broad panel of Treg cells from various origins or anatomical locations. Treg cells generated by different means form different sub-phenotypes identifiable by particular combinations of transcripts, none of which fully encompass the entire Treg signature. Molecules involved in Treg effector function, chemokine receptors, and the transcription factors that control them are differentially represented in these subphenotypes. Treg cells from the gut proved dissimilar to cells elicited by exposure to TGFβ, but instead they resembled a CD103+Klrg1+ subphenotype preferentially generated in response to lymphopenia."}
{"STANDARD_NAME":"GSE20366_EX_VIVO_VS_DEC205_CONVERSION_DN","SYSTEMATIC_NAME":"M4318","ORGANISM":"Mus musculus","PMID":"20231436","AUTHORS":"Feuerer M,Hill JA,Kretschmer K,von Boehmer H,Mathis D,Benoist C.","GEOID":"GSE20366","EXACT_SOURCE":"GSE20366_1428_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of TregLP versus DEC-Pept Convert (see Table 1S in the paper for details).","DESCRIPTION_FULL":"Regulatory T (Treg) cells that express the FoxP3 transcription factor are essential for lymphoid homeostasis and immune tolerance to self. Other non-immunological functions of Treg cells, such as controlling metabolic function in adipose tissue, are also emerging. Treg cells originate primarily in the thymus, but can also be elicited from conventional T cells by in vivo exposure to low-dose antigen or homeostatic expansion, or by activation in the presence of TGFβ in vitro. Treg cells are characterized by a distinct transcriptional signature controlled in part, but not solely, by FoxP3. For a better perspective on transcriptional control in Treg cells, we compared gene expression profiles of a broad panel of Treg cells from various origins or anatomical locations. Treg cells generated by different means form different sub-phenotypes identifiable by particular combinations of transcripts, none of which fully encompass the entire Treg signature. Molecules involved in Treg effector function, chemokine receptors, and the transcription factors that control them are differentially represented in these subphenotypes. Treg cells from the gut proved dissimilar to cells elicited by exposure to TGFβ, but instead they resembled a CD103+Klrg1+ subphenotype preferentially generated in response to lymphopenia."}
{"STANDARD_NAME":"GSE20366_EX_VIVO_VS_HOMEOSTATIC_CONVERSION_NAIVE_CD4_TCELL_UP","SYSTEMATIC_NAME":"M4323","ORGANISM":"Mus musculus","PMID":"20231436","AUTHORS":"Feuerer M,Hill JA,Kretschmer K,von Boehmer H,Mathis D,Benoist C.","GEOID":"GSE20366","EXACT_SOURCE":"GSE20366_1429_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of TconvLP versus Homeo Foxp3- (see Table 1S in the paper for details).","DESCRIPTION_FULL":"Regulatory T (Treg) cells that express the FoxP3 transcription factor are essential for lymphoid homeostasis and immune tolerance to self. Other non-immunological functions of Treg cells, such as controlling metabolic function in adipose tissue, are also emerging. Treg cells originate primarily in the thymus, but can also be elicited from conventional T cells by in vivo exposure to low-dose antigen or homeostatic expansion, or by activation in the presence of TGFβ in vitro. Treg cells are characterized by a distinct transcriptional signature controlled in part, but not solely, by FoxP3. For a better perspective on transcriptional control in Treg cells, we compared gene expression profiles of a broad panel of Treg cells from various origins or anatomical locations. Treg cells generated by different means form different sub-phenotypes identifiable by particular combinations of transcripts, none of which fully encompass the entire Treg signature. Molecules involved in Treg effector function, chemokine receptors, and the transcription factors that control them are differentially represented in these subphenotypes. Treg cells from the gut proved dissimilar to cells elicited by exposure to TGFβ, but instead they resembled a CD103+Klrg1+ subphenotype preferentially generated in response to lymphopenia."}
{"STANDARD_NAME":"GSE20366_EX_VIVO_VS_HOMEOSTATIC_CONVERSION_NAIVE_CD4_TCELL_DN","SYSTEMATIC_NAME":"M4326","ORGANISM":"Mus musculus","PMID":"20231436","AUTHORS":"Feuerer M,Hill JA,Kretschmer K,von Boehmer H,Mathis D,Benoist C.","GEOID":"GSE20366","EXACT_SOURCE":"GSE20366_1429_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of TconvLP versus Homeo Foxp3- (see Table 1S in the paper for details).","DESCRIPTION_FULL":"Regulatory T (Treg) cells that express the FoxP3 transcription factor are essential for lymphoid homeostasis and immune tolerance to self. Other non-immunological functions of Treg cells, such as controlling metabolic function in adipose tissue, are also emerging. Treg cells originate primarily in the thymus, but can also be elicited from conventional T cells by in vivo exposure to low-dose antigen or homeostatic expansion, or by activation in the presence of TGFβ in vitro. Treg cells are characterized by a distinct transcriptional signature controlled in part, but not solely, by FoxP3. For a better perspective on transcriptional control in Treg cells, we compared gene expression profiles of a broad panel of Treg cells from various origins or anatomical locations. Treg cells generated by different means form different sub-phenotypes identifiable by particular combinations of transcripts, none of which fully encompass the entire Treg signature. Molecules involved in Treg effector function, chemokine receptors, and the transcription factors that control them are differentially represented in these subphenotypes. Treg cells from the gut proved dissimilar to cells elicited by exposure to TGFβ, but instead they resembled a CD103+Klrg1+ subphenotype preferentially generated in response to lymphopenia."}
{"STANDARD_NAME":"GSE20366_EX_VIVO_VS_DEC205_CONVERSION_NAIVE_CD4_TCELL_UP","SYSTEMATIC_NAME":"M4327","ORGANISM":"Mus musculus","PMID":"20231436","AUTHORS":"Feuerer M,Hill JA,Kretschmer K,von Boehmer H,Mathis D,Benoist C.","GEOID":"GSE20366","EXACT_SOURCE":"GSE20366_1430_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of TconvLP versus DEC-Pept CD25- (see Table S1 in the paper for details).","DESCRIPTION_FULL":"Regulatory T (Treg) cells that express the FoxP3 transcription factor are essential for lymphoid homeostasis and immune tolerance to self. Other non-immunological functions of Treg cells, such as controlling metabolic function in adipose tissue, are also emerging. Treg cells originate primarily in the thymus, but can also be elicited from conventional T cells by in vivo exposure to low-dose antigen or homeostatic expansion, or by activation in the presence of TGFβ in vitro. Treg cells are characterized by a distinct transcriptional signature controlled in part, but not solely, by FoxP3. For a better perspective on transcriptional control in Treg cells, we compared gene expression profiles of a broad panel of Treg cells from various origins or anatomical locations. Treg cells generated by different means form different sub-phenotypes identifiable by particular combinations of transcripts, none of which fully encompass the entire Treg signature. Molecules involved in Treg effector function, chemokine receptors, and the transcription factors that control them are differentially represented in these subphenotypes. Treg cells from the gut proved dissimilar to cells elicited by exposure to TGFβ, but instead they resembled a CD103+Klrg1+ subphenotype preferentially generated in response to lymphopenia."}
{"STANDARD_NAME":"GSE20366_EX_VIVO_VS_DEC205_CONVERSION_NAIVE_CD4_TCELL_DN","SYSTEMATIC_NAME":"M4328","ORGANISM":"Mus musculus","PMID":"20231436","AUTHORS":"Feuerer M,Hill JA,Kretschmer K,von Boehmer H,Mathis D,Benoist C.","GEOID":"GSE20366","EXACT_SOURCE":"GSE20366_1430_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of TconvLP versus DEC-Pept CD25- (see Table S1 in the paper for details).","DESCRIPTION_FULL":"Regulatory T (Treg) cells that express the FoxP3 transcription factor are essential for lymphoid homeostasis and immune tolerance to self. Other non-immunological functions of Treg cells, such as controlling metabolic function in adipose tissue, are also emerging. Treg cells originate primarily in the thymus, but can also be elicited from conventional T cells by in vivo exposure to low-dose antigen or homeostatic expansion, or by activation in the presence of TGFβ in vitro. Treg cells are characterized by a distinct transcriptional signature controlled in part, but not solely, by FoxP3. For a better perspective on transcriptional control in Treg cells, we compared gene expression profiles of a broad panel of Treg cells from various origins or anatomical locations. Treg cells generated by different means form different sub-phenotypes identifiable by particular combinations of transcripts, none of which fully encompass the entire Treg signature. Molecules involved in Treg effector function, chemokine receptors, and the transcription factors that control them are differentially represented in these subphenotypes. Treg cells from the gut proved dissimilar to cells elicited by exposure to TGFβ, but instead they resembled a CD103+Klrg1+ subphenotype preferentially generated in response to lymphopenia."}
{"STANDARD_NAME":"GSE20366_TREG_VS_NAIVE_CD4_TCELL_HOMEOSTATIC_CONVERSION_UP","SYSTEMATIC_NAME":"M4330","ORGANISM":"Mus musculus","PMID":"20231436","AUTHORS":"Feuerer M,Hill JA,Kretschmer K,von Boehmer H,Mathis D,Benoist C.","GEOID":"GSE20366","EXACT_SOURCE":"GSE20366_1431_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of Homeo Convert versus Homeo Foxp3- (see Table 1S in the paper for details).","DESCRIPTION_FULL":"Regulatory T (Treg) cells that express the FoxP3 transcription factor are essential for lymphoid homeostasis and immune tolerance to self. Other non-immunological functions of Treg cells, such as controlling metabolic function in adipose tissue, are also emerging. Treg cells originate primarily in the thymus, but can also be elicited from conventional T cells by in vivo exposure to low-dose antigen or homeostatic expansion, or by activation in the presence of TGFβ in vitro. Treg cells are characterized by a distinct transcriptional signature controlled in part, but not solely, by FoxP3. For a better perspective on transcriptional control in Treg cells, we compared gene expression profiles of a broad panel of Treg cells from various origins or anatomical locations. Treg cells generated by different means form different sub-phenotypes identifiable by particular combinations of transcripts, none of which fully encompass the entire Treg signature. Molecules involved in Treg effector function, chemokine receptors, and the transcription factors that control them are differentially represented in these subphenotypes. Treg cells from the gut proved dissimilar to cells elicited by exposure to TGFβ, but instead they resembled a CD103+Klrg1+ subphenotype preferentially generated in response to lymphopenia."}
{"STANDARD_NAME":"GSE20366_TREG_VS_NAIVE_CD4_TCELL_HOMEOSTATIC_CONVERSION_DN","SYSTEMATIC_NAME":"M4331","ORGANISM":"Mus musculus","PMID":"20231436","AUTHORS":"Feuerer M,Hill JA,Kretschmer K,von Boehmer H,Mathis D,Benoist C.","GEOID":"GSE20366","EXACT_SOURCE":"GSE20366_1431_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of Homeo Convert versus Homeo Foxp3- (see Table 1S in the paper for details).","DESCRIPTION_FULL":"Regulatory T (Treg) cells that express the FoxP3 transcription factor are essential for lymphoid homeostasis and immune tolerance to self. Other non-immunological functions of Treg cells, such as controlling metabolic function in adipose tissue, are also emerging. Treg cells originate primarily in the thymus, but can also be elicited from conventional T cells by in vivo exposure to low-dose antigen or homeostatic expansion, or by activation in the presence of TGFβ in vitro. Treg cells are characterized by a distinct transcriptional signature controlled in part, but not solely, by FoxP3. For a better perspective on transcriptional control in Treg cells, we compared gene expression profiles of a broad panel of Treg cells from various origins or anatomical locations. Treg cells generated by different means form different sub-phenotypes identifiable by particular combinations of transcripts, none of which fully encompass the entire Treg signature. Molecules involved in Treg effector function, chemokine receptors, and the transcription factors that control them are differentially represented in these subphenotypes. Treg cells from the gut proved dissimilar to cells elicited by exposure to TGFβ, but instead they resembled a CD103+Klrg1+ subphenotype preferentially generated in response to lymphopenia."}
{"STANDARD_NAME":"GSE20366_TREG_VS_NAIVE_CD4_TCELL_DEC205_CONVERSION_UP","SYSTEMATIC_NAME":"M4332","ORGANISM":"Mus musculus","PMID":"20231436","AUTHORS":"Feuerer M,Hill JA,Kretschmer K,von Boehmer H,Mathis D,Benoist C.","GEOID":"GSE20366","EXACT_SOURCE":"GSE20366_1432_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of DEC-Pept Convert versus DEC-Pept CD25- (see Table 1S in the paper for details).","DESCRIPTION_FULL":"Regulatory T (Treg) cells that express the FoxP3 transcription factor are essential for lymphoid homeostasis and immune tolerance to self. Other non-immunological functions of Treg cells, such as controlling metabolic function in adipose tissue, are also emerging. Treg cells originate primarily in the thymus, but can also be elicited from conventional T cells by in vivo exposure to low-dose antigen or homeostatic expansion, or by activation in the presence of TGFβ in vitro. Treg cells are characterized by a distinct transcriptional signature controlled in part, but not solely, by FoxP3. For a better perspective on transcriptional control in Treg cells, we compared gene expression profiles of a broad panel of Treg cells from various origins or anatomical locations. Treg cells generated by different means form different sub-phenotypes identifiable by particular combinations of transcripts, none of which fully encompass the entire Treg signature. Molecules involved in Treg effector function, chemokine receptors, and the transcription factors that control them are differentially represented in these subphenotypes. Treg cells from the gut proved dissimilar to cells elicited by exposure to TGFβ, but instead they resembled a CD103+Klrg1+ subphenotype preferentially generated in response to lymphopenia."}
{"STANDARD_NAME":"GSE20366_TREG_VS_NAIVE_CD4_TCELL_DEC205_CONVERSION_DN","SYSTEMATIC_NAME":"M4334","ORGANISM":"Mus musculus","PMID":"20231436","AUTHORS":"Feuerer M,Hill JA,Kretschmer K,von Boehmer H,Mathis D,Benoist C.","GEOID":"GSE20366","EXACT_SOURCE":"GSE20366_1432_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of DEC-Pept Convert versus DEC-Pept CD25- (see Table 1S in the paper for details).","DESCRIPTION_FULL":"Regulatory T (Treg) cells that express the FoxP3 transcription factor are essential for lymphoid homeostasis and immune tolerance to self. Other non-immunological functions of Treg cells, such as controlling metabolic function in adipose tissue, are also emerging. Treg cells originate primarily in the thymus, but can also be elicited from conventional T cells by in vivo exposure to low-dose antigen or homeostatic expansion, or by activation in the presence of TGFβ in vitro. Treg cells are characterized by a distinct transcriptional signature controlled in part, but not solely, by FoxP3. For a better perspective on transcriptional control in Treg cells, we compared gene expression profiles of a broad panel of Treg cells from various origins or anatomical locations. Treg cells generated by different means form different sub-phenotypes identifiable by particular combinations of transcripts, none of which fully encompass the entire Treg signature. Molecules involved in Treg effector function, chemokine receptors, and the transcription factors that control them are differentially represented in these subphenotypes. Treg cells from the gut proved dissimilar to cells elicited by exposure to TGFβ, but instead they resembled a CD103+Klrg1+ subphenotype preferentially generated in response to lymphopenia."}
{"STANDARD_NAME":"GSE20366_CD103_POS_VS_NEG_TREG_KLRG1NEG_UP","SYSTEMATIC_NAME":"M4335","ORGANISM":"Mus musculus","PMID":"20231436","AUTHORS":"Feuerer M,Hill JA,Kretschmer K,von Boehmer H,Mathis D,Benoist C.","GEOID":"GSE20366","EXACT_SOURCE":"GSE20366_1433_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of TregCD103-Klrg1- versus TregCD103+Klrg1- (see Table 1S in the paper for details).","DESCRIPTION_FULL":"Regulatory T (Treg) cells that express the FoxP3 transcription factor are essential for lymphoid homeostasis and immune tolerance to self. Other non-immunological functions of Treg cells, such as controlling metabolic function in adipose tissue, are also emerging. Treg cells originate primarily in the thymus, but can also be elicited from conventional T cells by in vivo exposure to low-dose antigen or homeostatic expansion, or by activation in the presence of TGFβ in vitro. Treg cells are characterized by a distinct transcriptional signature controlled in part, but not solely, by FoxP3. For a better perspective on transcriptional control in Treg cells, we compared gene expression profiles of a broad panel of Treg cells from various origins or anatomical locations. Treg cells generated by different means form different sub-phenotypes identifiable by particular combinations of transcripts, none of which fully encompass the entire Treg signature. Molecules involved in Treg effector function, chemokine receptors, and the transcription factors that control them are differentially represented in these subphenotypes. Treg cells from the gut proved dissimilar to cells elicited by exposure to TGFβ, but instead they resembled a CD103+Klrg1+ subphenotype preferentially generated in response to lymphopenia."}
{"STANDARD_NAME":"GSE20366_CD103_POS_VS_NEG_TREG_KLRG1NEG_DN","SYSTEMATIC_NAME":"M4338","ORGANISM":"Mus musculus","PMID":"20231436","AUTHORS":"Feuerer M,Hill JA,Kretschmer K,von Boehmer H,Mathis D,Benoist C.","GEOID":"GSE20366","EXACT_SOURCE":"GSE20366_1433_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of TregCD103-Klrg1- versus TregCD103+Klrg1- (see Table 1S in the paper for details).","DESCRIPTION_FULL":"Regulatory T (Treg) cells that express the FoxP3 transcription factor are essential for lymphoid homeostasis and immune tolerance to self. Other non-immunological functions of Treg cells, such as controlling metabolic function in adipose tissue, are also emerging. Treg cells originate primarily in the thymus, but can also be elicited from conventional T cells by in vivo exposure to low-dose antigen or homeostatic expansion, or by activation in the presence of TGFβ in vitro. Treg cells are characterized by a distinct transcriptional signature controlled in part, but not solely, by FoxP3. For a better perspective on transcriptional control in Treg cells, we compared gene expression profiles of a broad panel of Treg cells from various origins or anatomical locations. Treg cells generated by different means form different sub-phenotypes identifiable by particular combinations of transcripts, none of which fully encompass the entire Treg signature. Molecules involved in Treg effector function, chemokine receptors, and the transcription factors that control them are differentially represented in these subphenotypes. Treg cells from the gut proved dissimilar to cells elicited by exposure to TGFβ, but instead they resembled a CD103+Klrg1+ subphenotype preferentially generated in response to lymphopenia."}
{"STANDARD_NAME":"GSE20366_CD103_KLRG1_DP_VS_DN_TREG_UP","SYSTEMATIC_NAME":"M4341","ORGANISM":"Mus musculus","PMID":"20231436","AUTHORS":"Feuerer M,Hill JA,Kretschmer K,von Boehmer H,Mathis D,Benoist C.","GEOID":"GSE20366","EXACT_SOURCE":"GSE20366_1434_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of TregCD103-Klrg1- versus TregCD103+Klrg1+ (see Table 1S in the paper for details).","DESCRIPTION_FULL":"Regulatory T (Treg) cells that express the FoxP3 transcription factor are essential for lymphoid homeostasis and immune tolerance to self. Other non-immunological functions of Treg cells, such as controlling metabolic function in adipose tissue, are also emerging. Treg cells originate primarily in the thymus, but can also be elicited from conventional T cells by in vivo exposure to low-dose antigen or homeostatic expansion, or by activation in the presence of TGFβ in vitro. Treg cells are characterized by a distinct transcriptional signature controlled in part, but not solely, by FoxP3. For a better perspective on transcriptional control in Treg cells, we compared gene expression profiles of a broad panel of Treg cells from various origins or anatomical locations. Treg cells generated by different means form different sub-phenotypes identifiable by particular combinations of transcripts, none of which fully encompass the entire Treg signature. Molecules involved in Treg effector function, chemokine receptors, and the transcription factors that control them are differentially represented in these subphenotypes. Treg cells from the gut proved dissimilar to cells elicited by exposure to TGFβ, but instead they resembled a CD103+Klrg1+ subphenotype preferentially generated in response to lymphopenia."}
{"STANDARD_NAME":"GSE20366_CD103_KLRG1_DP_VS_DN_TREG_DN","SYSTEMATIC_NAME":"M4343","ORGANISM":"Mus musculus","PMID":"20231436","AUTHORS":"Feuerer M,Hill JA,Kretschmer K,von Boehmer H,Mathis D,Benoist C.","GEOID":"GSE20366","EXACT_SOURCE":"GSE20366_1434_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of TregCD103-Klrg1- versus TregCD103+Klrg1+ (see Table 1S in the paper for details).","DESCRIPTION_FULL":"Regulatory T (Treg) cells that express the FoxP3 transcription factor are essential for lymphoid homeostasis and immune tolerance to self. Other non-immunological functions of Treg cells, such as controlling metabolic function in adipose tissue, are also emerging. Treg cells originate primarily in the thymus, but can also be elicited from conventional T cells by in vivo exposure to low-dose antigen or homeostatic expansion, or by activation in the presence of TGFβ in vitro. Treg cells are characterized by a distinct transcriptional signature controlled in part, but not solely, by FoxP3. For a better perspective on transcriptional control in Treg cells, we compared gene expression profiles of a broad panel of Treg cells from various origins or anatomical locations. Treg cells generated by different means form different sub-phenotypes identifiable by particular combinations of transcripts, none of which fully encompass the entire Treg signature. Molecules involved in Treg effector function, chemokine receptors, and the transcription factors that control them are differentially represented in these subphenotypes. Treg cells from the gut proved dissimilar to cells elicited by exposure to TGFβ, but instead they resembled a CD103+Klrg1+ subphenotype preferentially generated in response to lymphopenia."}
{"STANDARD_NAME":"GSE20366_CD103_POS_VS_CD103_KLRG1_DP_TREG_UP","SYSTEMATIC_NAME":"M4344","ORGANISM":"Mus musculus","PMID":"20231436","AUTHORS":"Feuerer M,Hill JA,Kretschmer K,von Boehmer H,Mathis D,Benoist C.","GEOID":"GSE20366","EXACT_SOURCE":"GSE20366_1435_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of TregCD103+Klrg1- versus TregCD103+Klrg1+ (see Table 1S in the paper for details).","DESCRIPTION_FULL":"Regulatory T (Treg) cells that express the FoxP3 transcription factor are essential for lymphoid homeostasis and immune tolerance to self. Other non-immunological functions of Treg cells, such as controlling metabolic function in adipose tissue, are also emerging. Treg cells originate primarily in the thymus, but can also be elicited from conventional T cells by in vivo exposure to low-dose antigen or homeostatic expansion, or by activation in the presence of TGFβ in vitro. Treg cells are characterized by a distinct transcriptional signature controlled in part, but not solely, by FoxP3. For a better perspective on transcriptional control in Treg cells, we compared gene expression profiles of a broad panel of Treg cells from various origins or anatomical locations. Treg cells generated by different means form different sub-phenotypes identifiable by particular combinations of transcripts, none of which fully encompass the entire Treg signature. Molecules involved in Treg effector function, chemokine receptors, and the transcription factors that control them are differentially represented in these subphenotypes. Treg cells from the gut proved dissimilar to cells elicited by exposure to TGFβ, but instead they resembled a CD103+Klrg1+ subphenotype preferentially generated in response to lymphopenia."}
{"STANDARD_NAME":"GSE20366_CD103_POS_VS_CD103_KLRG1_DP_TREG_DN","SYSTEMATIC_NAME":"M4346","ORGANISM":"Mus musculus","PMID":"20231436","AUTHORS":"Feuerer M,Hill JA,Kretschmer K,von Boehmer H,Mathis D,Benoist C.","GEOID":"GSE20366","EXACT_SOURCE":"GSE20366_1435_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of TregCD103+Klrg1- versus TregCD103+Klrg1+ (see Table 1S in the paper for details).","DESCRIPTION_FULL":"Regulatory T (Treg) cells that express the FoxP3 transcription factor are essential for lymphoid homeostasis and immune tolerance to self. Other non-immunological functions of Treg cells, such as controlling metabolic function in adipose tissue, are also emerging. Treg cells originate primarily in the thymus, but can also be elicited from conventional T cells by in vivo exposure to low-dose antigen or homeostatic expansion, or by activation in the presence of TGFβ in vitro. Treg cells are characterized by a distinct transcriptional signature controlled in part, but not solely, by FoxP3. For a better perspective on transcriptional control in Treg cells, we compared gene expression profiles of a broad panel of Treg cells from various origins or anatomical locations. Treg cells generated by different means form different sub-phenotypes identifiable by particular combinations of transcripts, none of which fully encompass the entire Treg signature. Molecules involved in Treg effector function, chemokine receptors, and the transcription factors that control them are differentially represented in these subphenotypes. Treg cells from the gut proved dissimilar to cells elicited by exposure to TGFβ, but instead they resembled a CD103+Klrg1+ subphenotype preferentially generated in response to lymphopenia."}
{"STANDARD_NAME":"GSE20366_TREG_VS_NAIVE_CD4_TCELL_UP","SYSTEMATIC_NAME":"M4347","ORGANISM":"Mus musculus","PMID":"20231436","AUTHORS":"Feuerer M,Hill JA,Kretschmer K,von Boehmer H,Mathis D,Benoist C.","GEOID":"GSE20366","EXACT_SOURCE":"GSE20366_1436_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of TregLP versus TconvLP (see Table 1S in the paper for details).","DESCRIPTION_FULL":"Regulatory T (Treg) cells that express the FoxP3 transcription factor are essential for lymphoid homeostasis and immune tolerance to self. Other non-immunological functions of Treg cells, such as controlling metabolic function in adipose tissue, are also emerging. Treg cells originate primarily in the thymus, but can also be elicited from conventional T cells by in vivo exposure to low-dose antigen or homeostatic expansion, or by activation in the presence of TGFβ in vitro. Treg cells are characterized by a distinct transcriptional signature controlled in part, but not solely, by FoxP3. For a better perspective on transcriptional control in Treg cells, we compared gene expression profiles of a broad panel of Treg cells from various origins or anatomical locations. Treg cells generated by different means form different sub-phenotypes identifiable by particular combinations of transcripts, none of which fully encompass the entire Treg signature. Molecules involved in Treg effector function, chemokine receptors, and the transcription factors that control them are differentially represented in these subphenotypes. Treg cells from the gut proved dissimilar to cells elicited by exposure to TGFβ, but instead they resembled a CD103+Klrg1+ subphenotype preferentially generated in response to lymphopenia."}
{"STANDARD_NAME":"GSE20366_TREG_VS_NAIVE_CD4_TCELL_DN","SYSTEMATIC_NAME":"M4348","ORGANISM":"Mus musculus","PMID":"20231436","AUTHORS":"Feuerer M,Hill JA,Kretschmer K,von Boehmer H,Mathis D,Benoist C.","GEOID":"GSE20366","EXACT_SOURCE":"GSE20366_1436_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of TregLP versus TconvLP (see Table 1S in the paper for details).","DESCRIPTION_FULL":"Regulatory T (Treg) cells that express the FoxP3 transcription factor are essential for lymphoid homeostasis and immune tolerance to self. Other non-immunological functions of Treg cells, such as controlling metabolic function in adipose tissue, are also emerging. Treg cells originate primarily in the thymus, but can also be elicited from conventional T cells by in vivo exposure to low-dose antigen or homeostatic expansion, or by activation in the presence of TGFβ in vitro. Treg cells are characterized by a distinct transcriptional signature controlled in part, but not solely, by FoxP3. For a better perspective on transcriptional control in Treg cells, we compared gene expression profiles of a broad panel of Treg cells from various origins or anatomical locations. Treg cells generated by different means form different sub-phenotypes identifiable by particular combinations of transcripts, none of which fully encompass the entire Treg signature. Molecules involved in Treg effector function, chemokine receptors, and the transcription factors that control them are differentially represented in these subphenotypes. Treg cells from the gut proved dissimilar to cells elicited by exposure to TGFβ, but instead they resembled a CD103+Klrg1+ subphenotype preferentially generated in response to lymphopenia."}
{"STANDARD_NAME":"GSE20715_WT_VS_TLR4_KO_LUNG_UP","SYSTEMATIC_NAME":"M4349","ORGANISM":"Mus musculus","PMID":"21543283","AUTHORS":"Bauer AK,Rondini EA,Hummel KA,Degraff LM,Walker C,Jedlicka AE,Kleeberger SR.","GEOID":"GSE20715","EXACT_SOURCE":"GSE20715_2072_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of lung tissue from wild type mice versus that from TLR4 [GeneID=7099] deficient animals.","DESCRIPTION_FULL":"We previously identified toll-like receptor 4 (Tlr4) as a candidate gene responsible for ozone (O3)-induced pulmonary hyperpermeability and inflammation. The objective of this study was to determine the mechanism through which TLR4 modulates O3-induced pulmonary responses and to utilize transcriptomics to determine TLR4 effector molecules. C3H/HeJ (HeJ; Tlr4 mutant) and C3H/HeOuJ (OuJ; Tlr4 normal), mice were exposed continuously to 0.3 ppm O3 or filtered air for 6, 24, 48 or 72 hr. Affymetrix Mouse430A_MOE gene arrays were used to analyze lung homogenates from HeJ and OuJ mice followed using a bioinformatic analysis. Inflammation was assessed by bronchoalveolar lavage and molecular analysis by ELISA, immunoblotting, and transcription factor activity. TLR4 signals through both the MYD88-dependent and independent pathways in OuJ mice, which involves MAP kinase activation, NF-kappaB, AP-1, and KC. Microarray analyses identifiedTLR4 responsive genes for strain and time in OuJ versus HeJ mice (p<0.05). One significantly upregulated cluster of genes in OuJ were the heat shock proteins (Hspa1b; Hsp70), Hsp90ab1). Furthermore, O3-induced expression of HSP70 protein was increased in OuJ compared to HeJ mice following 24-48 h O3. Moreover, BAL polymorphonuclear leukocytes (PMN) and total protein were significantly reduced in response to O3 in Hspa1a/Hspa1btm1Dix (Hsp70-/-) compared to Hsp70+/+ mice (p<0.05). TLR4 signaling (MYD88-dependent), ERK1/2, AP-1 activity, and KC protein content were also significantly reduced after O3 exposure in Hsp70-/- compared to Hsp70+/+ mice (p<0.05). These studies suggest that HSP70 is involved in the regulation of O3-induced lung inflammation through the TLR4 pathway and provide evidence that HSP70 is an endogenous in vivo TLR4 ligand."}
{"STANDARD_NAME":"GSE20715_WT_VS_TLR4_KO_LUNG_DN","SYSTEMATIC_NAME":"M4350","ORGANISM":"Mus musculus","PMID":"21543283","AUTHORS":"Bauer AK,Rondini EA,Hummel KA,Degraff LM,Walker C,Jedlicka AE,Kleeberger SR.","GEOID":"GSE20715","EXACT_SOURCE":"GSE20715_2072_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of lung tissue from wild type mice versus that from TLR4 [GeneID=7099] deficient animals.","DESCRIPTION_FULL":"We previously identified toll-like receptor 4 (Tlr4) as a candidate gene responsible for ozone (O3)-induced pulmonary hyperpermeability and inflammation. The objective of this study was to determine the mechanism through which TLR4 modulates O3-induced pulmonary responses and to utilize transcriptomics to determine TLR4 effector molecules. C3H/HeJ (HeJ; Tlr4 mutant) and C3H/HeOuJ (OuJ; Tlr4 normal), mice were exposed continuously to 0.3 ppm O3 or filtered air for 6, 24, 48 or 72 hr. Affymetrix Mouse430A_MOE gene arrays were used to analyze lung homogenates from HeJ and OuJ mice followed using a bioinformatic analysis. Inflammation was assessed by bronchoalveolar lavage and molecular analysis by ELISA, immunoblotting, and transcription factor activity. TLR4 signals through both the MYD88-dependent and independent pathways in OuJ mice, which involves MAP kinase activation, NF-kappaB, AP-1, and KC. Microarray analyses identifiedTLR4 responsive genes for strain and time in OuJ versus HeJ mice (p<0.05). One significantly upregulated cluster of genes in OuJ were the heat shock proteins (Hspa1b; Hsp70), Hsp90ab1). Furthermore, O3-induced expression of HSP70 protein was increased in OuJ compared to HeJ mice following 24-48 h O3. Moreover, BAL polymorphonuclear leukocytes (PMN) and total protein were significantly reduced in response to O3 in Hspa1a/Hspa1btm1Dix (Hsp70-/-) compared to Hsp70+/+ mice (p<0.05). TLR4 signaling (MYD88-dependent), ERK1/2, AP-1 activity, and KC protein content were also significantly reduced after O3 exposure in Hsp70-/- compared to Hsp70+/+ mice (p<0.05). These studies suggest that HSP70 is involved in the regulation of O3-induced lung inflammation through the TLR4 pathway and provide evidence that HSP70 is an endogenous in vivo TLR4 ligand."}
{"STANDARD_NAME":"GSE20715_WT_VS_TLR4_KO_6H_OZONE_LUNG_UP","SYSTEMATIC_NAME":"M4351","ORGANISM":"Mus musculus","PMID":"21543283","AUTHORS":"Bauer AK,Rondini EA,Hummel KA,Degraff LM,Walker C,Jedlicka AE,Kleeberger SR.","GEOID":"GSE20715","EXACT_SOURCE":"GSE20715_2073_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparson of lung tissue from wild type mice subjected to ozone for 6 h vs that from TLR4 [GeneID=7099] deficient animal subjected to ozone for 6 h.","DESCRIPTION_FULL":"We previously identified toll-like receptor 4 (Tlr4) as a candidate gene responsible for ozone (O3)-induced pulmonary hyperpermeability and inflammation. The objective of this study was to determine the mechanism through which TLR4 modulates O3-induced pulmonary responses and to utilize transcriptomics to determine TLR4 effector molecules. C3H/HeJ (HeJ; Tlr4 mutant) and C3H/HeOuJ (OuJ; Tlr4 normal), mice were exposed continuously to 0.3 ppm O3 or filtered air for 6, 24, 48 or 72 hr. Affymetrix Mouse430A_MOE gene arrays were used to analyze lung homogenates from HeJ and OuJ mice followed using a bioinformatic analysis. Inflammation was assessed by bronchoalveolar lavage and molecular analysis by ELISA, immunoblotting, and transcription factor activity. TLR4 signals through both the MYD88-dependent and independent pathways in OuJ mice, which involves MAP kinase activation, NF-kappaB, AP-1, and KC. Microarray analyses identifiedTLR4 responsive genes for strain and time in OuJ versus HeJ mice (p<0.05). One significantly upregulated cluster of genes in OuJ were the heat shock proteins (Hspa1b; Hsp70), Hsp90ab1). Furthermore, O3-induced expression of HSP70 protein was increased in OuJ compared to HeJ mice following 24-48 h O3. Moreover, BAL polymorphonuclear leukocytes (PMN) and total protein were significantly reduced in response to O3 in Hspa1a/Hspa1btm1Dix (Hsp70-/-) compared to Hsp70+/+ mice (p<0.05). TLR4 signaling (MYD88-dependent), ERK1/2, AP-1 activity, and KC protein content were also significantly reduced after O3 exposure in Hsp70-/- compared to Hsp70+/+ mice (p<0.05). These studies suggest that HSP70 is involved in the regulation of O3-induced lung inflammation through the TLR4 pathway and provide evidence that HSP70 is an endogenous in vivo TLR4 ligand."}
{"STANDARD_NAME":"GSE20715_WT_VS_TLR4_KO_6H_OZONE_LUNG_DN","SYSTEMATIC_NAME":"M4352","ORGANISM":"Mus musculus","PMID":"21543283","AUTHORS":"Bauer AK,Rondini EA,Hummel KA,Degraff LM,Walker C,Jedlicka AE,Kleeberger SR.","GEOID":"GSE20715","EXACT_SOURCE":"GSE20715_2073_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparson of lung tissue from wild type mice subjected to ozone for 6 h vs that from TLR4 [GeneID=7099] deficient animal subjected to ozone for 6 h.","DESCRIPTION_FULL":"We previously identified toll-like receptor 4 (Tlr4) as a candidate gene responsible for ozone (O3)-induced pulmonary hyperpermeability and inflammation. The objective of this study was to determine the mechanism through which TLR4 modulates O3-induced pulmonary responses and to utilize transcriptomics to determine TLR4 effector molecules. C3H/HeJ (HeJ; Tlr4 mutant) and C3H/HeOuJ (OuJ; Tlr4 normal), mice were exposed continuously to 0.3 ppm O3 or filtered air for 6, 24, 48 or 72 hr. Affymetrix Mouse430A_MOE gene arrays were used to analyze lung homogenates from HeJ and OuJ mice followed using a bioinformatic analysis. Inflammation was assessed by bronchoalveolar lavage and molecular analysis by ELISA, immunoblotting, and transcription factor activity. TLR4 signals through both the MYD88-dependent and independent pathways in OuJ mice, which involves MAP kinase activation, NF-kappaB, AP-1, and KC. Microarray analyses identifiedTLR4 responsive genes for strain and time in OuJ versus HeJ mice (p<0.05). One significantly upregulated cluster of genes in OuJ were the heat shock proteins (Hspa1b; Hsp70), Hsp90ab1). Furthermore, O3-induced expression of HSP70 protein was increased in OuJ compared to HeJ mice following 24-48 h O3. Moreover, BAL polymorphonuclear leukocytes (PMN) and total protein were significantly reduced in response to O3 in Hspa1a/Hspa1btm1Dix (Hsp70-/-) compared to Hsp70+/+ mice (p<0.05). TLR4 signaling (MYD88-dependent), ERK1/2, AP-1 activity, and KC protein content were also significantly reduced after O3 exposure in Hsp70-/- compared to Hsp70+/+ mice (p<0.05). These studies suggest that HSP70 is involved in the regulation of O3-induced lung inflammation through the TLR4 pathway and provide evidence that HSP70 is an endogenous in vivo TLR4 ligand."}
{"STANDARD_NAME":"GSE20715_WT_VS_TLR4_KO_24H_OZONE_LUNG_UP","SYSTEMATIC_NAME":"M4353","ORGANISM":"Mus musculus","PMID":"21543283","AUTHORS":"Bauer AK,Rondini EA,Hummel KA,Degraff LM,Walker C,Jedlicka AE,Kleeberger SR.","GEOID":"GSE20715","EXACT_SOURCE":"GSE20715_2074_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of lung tissue from wild type mice subjected to ozone for 24 h versus that from TLR4 [GeneID=7099] deficient mice subjected to ozone for 24 h.","DESCRIPTION_FULL":"We previously identified toll-like receptor 4 (Tlr4) as a candidate gene responsible for ozone (O3)-induced pulmonary hyperpermeability and inflammation. The objective of this study was to determine the mechanism through which TLR4 modulates O3-induced pulmonary responses and to utilize transcriptomics to determine TLR4 effector molecules. C3H/HeJ (HeJ; Tlr4 mutant) and C3H/HeOuJ (OuJ; Tlr4 normal), mice were exposed continuously to 0.3 ppm O3 or filtered air for 6, 24, 48 or 72 hr. Affymetrix Mouse430A_MOE gene arrays were used to analyze lung homogenates from HeJ and OuJ mice followed using a bioinformatic analysis. Inflammation was assessed by bronchoalveolar lavage and molecular analysis by ELISA, immunoblotting, and transcription factor activity. TLR4 signals through both the MYD88-dependent and independent pathways in OuJ mice, which involves MAP kinase activation, NF-kappaB, AP-1, and KC. Microarray analyses identifiedTLR4 responsive genes for strain and time in OuJ versus HeJ mice (p<0.05). One significantly upregulated cluster of genes in OuJ were the heat shock proteins (Hspa1b; Hsp70), Hsp90ab1). Furthermore, O3-induced expression of HSP70 protein was increased in OuJ compared to HeJ mice following 24-48 h O3. Moreover, BAL polymorphonuclear leukocytes (PMN) and total protein were significantly reduced in response to O3 in Hspa1a/Hspa1btm1Dix (Hsp70-/-) compared to Hsp70+/+ mice (p<0.05). TLR4 signaling (MYD88-dependent), ERK1/2, AP-1 activity, and KC protein content were also significantly reduced after O3 exposure in Hsp70-/- compared to Hsp70+/+ mice (p<0.05). These studies suggest that HSP70 is involved in the regulation of O3-induced lung inflammation through the TLR4 pathway and provide evidence that HSP70 is an endogenous in vivo TLR4 ligand."}
{"STANDARD_NAME":"GSE20715_WT_VS_TLR4_KO_24H_OZONE_LUNG_DN","SYSTEMATIC_NAME":"M4354","ORGANISM":"Mus musculus","PMID":"21543283","AUTHORS":"Bauer AK,Rondini EA,Hummel KA,Degraff LM,Walker C,Jedlicka AE,Kleeberger SR.","GEOID":"GSE20715","EXACT_SOURCE":"GSE20715_2074_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of lung tissue from wild type mice subjected to ozone for 24 h versus that from TLR4 [GeneID=7099] deficient mice subjected to ozone for 24 h.","DESCRIPTION_FULL":"We previously identified toll-like receptor 4 (Tlr4) as a candidate gene responsible for ozone (O3)-induced pulmonary hyperpermeability and inflammation. The objective of this study was to determine the mechanism through which TLR4 modulates O3-induced pulmonary responses and to utilize transcriptomics to determine TLR4 effector molecules. C3H/HeJ (HeJ; Tlr4 mutant) and C3H/HeOuJ (OuJ; Tlr4 normal), mice were exposed continuously to 0.3 ppm O3 or filtered air for 6, 24, 48 or 72 hr. Affymetrix Mouse430A_MOE gene arrays were used to analyze lung homogenates from HeJ and OuJ mice followed using a bioinformatic analysis. Inflammation was assessed by bronchoalveolar lavage and molecular analysis by ELISA, immunoblotting, and transcription factor activity. TLR4 signals through both the MYD88-dependent and independent pathways in OuJ mice, which involves MAP kinase activation, NF-kappaB, AP-1, and KC. Microarray analyses identifiedTLR4 responsive genes for strain and time in OuJ versus HeJ mice (p<0.05). One significantly upregulated cluster of genes in OuJ were the heat shock proteins (Hspa1b; Hsp70), Hsp90ab1). Furthermore, O3-induced expression of HSP70 protein was increased in OuJ compared to HeJ mice following 24-48 h O3. Moreover, BAL polymorphonuclear leukocytes (PMN) and total protein were significantly reduced in response to O3 in Hspa1a/Hspa1btm1Dix (Hsp70-/-) compared to Hsp70+/+ mice (p<0.05). TLR4 signaling (MYD88-dependent), ERK1/2, AP-1 activity, and KC protein content were also significantly reduced after O3 exposure in Hsp70-/- compared to Hsp70+/+ mice (p<0.05). These studies suggest that HSP70 is involved in the regulation of O3-induced lung inflammation through the TLR4 pathway and provide evidence that HSP70 is an endogenous in vivo TLR4 ligand."}
{"STANDARD_NAME":"GSE20715_WT_VS_TLR4_KO_48H_OZONE_LUNG_UP","SYSTEMATIC_NAME":"M4355","ORGANISM":"Mus musculus","PMID":"21543283","AUTHORS":"Bauer AK,Rondini EA,Hummel KA,Degraff LM,Walker C,Jedlicka AE,Kleeberger SR.","GEOID":"GSE20715","EXACT_SOURCE":"GSE20715_2075_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of lung tissue from wild type mice subjected to ozone for 48 h versus that from TLR4 [GeneID=7099] deficient mice subjected to ozone for 48 h.","DESCRIPTION_FULL":"We previously identified toll-like receptor 4 (Tlr4) as a candidate gene responsible for ozone (O3)-induced pulmonary hyperpermeability and inflammation. The objective of this study was to determine the mechanism through which TLR4 modulates O3-induced pulmonary responses and to utilize transcriptomics to determine TLR4 effector molecules. C3H/HeJ (HeJ; Tlr4 mutant) and C3H/HeOuJ (OuJ; Tlr4 normal), mice were exposed continuously to 0.3 ppm O3 or filtered air for 6, 24, 48 or 72 hr. Affymetrix Mouse430A_MOE gene arrays were used to analyze lung homogenates from HeJ and OuJ mice followed using a bioinformatic analysis. Inflammation was assessed by bronchoalveolar lavage and molecular analysis by ELISA, immunoblotting, and transcription factor activity. TLR4 signals through both the MYD88-dependent and independent pathways in OuJ mice, which involves MAP kinase activation, NF-kappaB, AP-1, and KC. Microarray analyses identifiedTLR4 responsive genes for strain and time in OuJ versus HeJ mice (p<0.05). One significantly upregulated cluster of genes in OuJ were the heat shock proteins (Hspa1b; Hsp70), Hsp90ab1). Furthermore, O3-induced expression of HSP70 protein was increased in OuJ compared to HeJ mice following 24-48 h O3. Moreover, BAL polymorphonuclear leukocytes (PMN) and total protein were significantly reduced in response to O3 in Hspa1a/Hspa1btm1Dix (Hsp70-/-) compared to Hsp70+/+ mice (p<0.05). TLR4 signaling (MYD88-dependent), ERK1/2, AP-1 activity, and KC protein content were also significantly reduced after O3 exposure in Hsp70-/- compared to Hsp70+/+ mice (p<0.05). These studies suggest that HSP70 is involved in the regulation of O3-induced lung inflammation through the TLR4 pathway and provide evidence that HSP70 is an endogenous in vivo TLR4 ligand."}
{"STANDARD_NAME":"GSE20715_WT_VS_TLR4_KO_48H_OZONE_LUNG_DN","SYSTEMATIC_NAME":"M4358","ORGANISM":"Mus musculus","PMID":"21543283","AUTHORS":"Bauer AK,Rondini EA,Hummel KA,Degraff LM,Walker C,Jedlicka AE,Kleeberger SR.","GEOID":"GSE20715","EXACT_SOURCE":"GSE20715_2075_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of lung tissue from wild type mice subjected to ozone for 48 h versus that from TLR4 [GeneID=7099] deficient mice subjected to ozone for 48 h.","DESCRIPTION_FULL":"We previously identified toll-like receptor 4 (Tlr4) as a candidate gene responsible for ozone (O3)-induced pulmonary hyperpermeability and inflammation. The objective of this study was to determine the mechanism through which TLR4 modulates O3-induced pulmonary responses and to utilize transcriptomics to determine TLR4 effector molecules. C3H/HeJ (HeJ; Tlr4 mutant) and C3H/HeOuJ (OuJ; Tlr4 normal), mice were exposed continuously to 0.3 ppm O3 or filtered air for 6, 24, 48 or 72 hr. Affymetrix Mouse430A_MOE gene arrays were used to analyze lung homogenates from HeJ and OuJ mice followed using a bioinformatic analysis. Inflammation was assessed by bronchoalveolar lavage and molecular analysis by ELISA, immunoblotting, and transcription factor activity. TLR4 signals through both the MYD88-dependent and independent pathways in OuJ mice, which involves MAP kinase activation, NF-kappaB, AP-1, and KC. Microarray analyses identifiedTLR4 responsive genes for strain and time in OuJ versus HeJ mice (p<0.05). One significantly upregulated cluster of genes in OuJ were the heat shock proteins (Hspa1b; Hsp70), Hsp90ab1). Furthermore, O3-induced expression of HSP70 protein was increased in OuJ compared to HeJ mice following 24-48 h O3. Moreover, BAL polymorphonuclear leukocytes (PMN) and total protein were significantly reduced in response to O3 in Hspa1a/Hspa1btm1Dix (Hsp70-/-) compared to Hsp70+/+ mice (p<0.05). TLR4 signaling (MYD88-dependent), ERK1/2, AP-1 activity, and KC protein content were also significantly reduced after O3 exposure in Hsp70-/- compared to Hsp70+/+ mice (p<0.05). These studies suggest that HSP70 is involved in the regulation of O3-induced lung inflammation through the TLR4 pathway and provide evidence that HSP70 is an endogenous in vivo TLR4 ligand."}
{"STANDARD_NAME":"GSE20715_0H_VS_6H_OZONE_LUNG_UP","SYSTEMATIC_NAME":"M4360","ORGANISM":"Mus musculus","PMID":"21543283","AUTHORS":"Bauer AK,Rondini EA,Hummel KA,Degraff LM,Walker C,Jedlicka AE,Kleeberger SR.","GEOID":"GSE20715","EXACT_SOURCE":"GSE20715_2076_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of lung tissue from wild type mice subjected to ozone for 0 h versus that from wild type mice subjected to ozone for 6 h.","DESCRIPTION_FULL":"We previously identified toll-like receptor 4 (Tlr4) as a candidate gene responsible for ozone (O3)-induced pulmonary hyperpermeability and inflammation. The objective of this study was to determine the mechanism through which TLR4 modulates O3-induced pulmonary responses and to utilize transcriptomics to determine TLR4 effector molecules. C3H/HeJ (HeJ; Tlr4 mutant) and C3H/HeOuJ (OuJ; Tlr4 normal), mice were exposed continuously to 0.3 ppm O3 or filtered air for 6, 24, 48 or 72 hr. Affymetrix Mouse430A_MOE gene arrays were used to analyze lung homogenates from HeJ and OuJ mice followed using a bioinformatic analysis. Inflammation was assessed by bronchoalveolar lavage and molecular analysis by ELISA, immunoblotting, and transcription factor activity. TLR4 signals through both the MYD88-dependent and independent pathways in OuJ mice, which involves MAP kinase activation, NF-kappaB, AP-1, and KC. Microarray analyses identifiedTLR4 responsive genes for strain and time in OuJ versus HeJ mice (p<0.05). One significantly upregulated cluster of genes in OuJ were the heat shock proteins (Hspa1b; Hsp70), Hsp90ab1). Furthermore, O3-induced expression of HSP70 protein was increased in OuJ compared to HeJ mice following 24-48 h O3. Moreover, BAL polymorphonuclear leukocytes (PMN) and total protein were significantly reduced in response to O3 in Hspa1a/Hspa1btm1Dix (Hsp70-/-) compared to Hsp70+/+ mice (p<0.05). TLR4 signaling (MYD88-dependent), ERK1/2, AP-1 activity, and KC protein content were also significantly reduced after O3 exposure in Hsp70-/- compared to Hsp70+/+ mice (p<0.05). These studies suggest that HSP70 is involved in the regulation of O3-induced lung inflammation through the TLR4 pathway and provide evidence that HSP70 is an endogenous in vivo TLR4 ligand."}
{"STANDARD_NAME":"GSE20715_0H_VS_6H_OZONE_LUNG_DN","SYSTEMATIC_NAME":"M4365","ORGANISM":"Mus musculus","PMID":"21543283","AUTHORS":"Bauer AK,Rondini EA,Hummel KA,Degraff LM,Walker C,Jedlicka AE,Kleeberger SR.","GEOID":"GSE20715","EXACT_SOURCE":"GSE20715_2076_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of lung tissue from wild type mice subjected to ozone for 0 h versus that from wild type mice subjected to ozone for 6 h.","DESCRIPTION_FULL":"We previously identified toll-like receptor 4 (Tlr4) as a candidate gene responsible for ozone (O3)-induced pulmonary hyperpermeability and inflammation. The objective of this study was to determine the mechanism through which TLR4 modulates O3-induced pulmonary responses and to utilize transcriptomics to determine TLR4 effector molecules. C3H/HeJ (HeJ; Tlr4 mutant) and C3H/HeOuJ (OuJ; Tlr4 normal), mice were exposed continuously to 0.3 ppm O3 or filtered air for 6, 24, 48 or 72 hr. Affymetrix Mouse430A_MOE gene arrays were used to analyze lung homogenates from HeJ and OuJ mice followed using a bioinformatic analysis. Inflammation was assessed by bronchoalveolar lavage and molecular analysis by ELISA, immunoblotting, and transcription factor activity. TLR4 signals through both the MYD88-dependent and independent pathways in OuJ mice, which involves MAP kinase activation, NF-kappaB, AP-1, and KC. Microarray analyses identifiedTLR4 responsive genes for strain and time in OuJ versus HeJ mice (p<0.05). One significantly upregulated cluster of genes in OuJ were the heat shock proteins (Hspa1b; Hsp70), Hsp90ab1). Furthermore, O3-induced expression of HSP70 protein was increased in OuJ compared to HeJ mice following 24-48 h O3. Moreover, BAL polymorphonuclear leukocytes (PMN) and total protein were significantly reduced in response to O3 in Hspa1a/Hspa1btm1Dix (Hsp70-/-) compared to Hsp70+/+ mice (p<0.05). TLR4 signaling (MYD88-dependent), ERK1/2, AP-1 activity, and KC protein content were also significantly reduced after O3 exposure in Hsp70-/- compared to Hsp70+/+ mice (p<0.05). These studies suggest that HSP70 is involved in the regulation of O3-induced lung inflammation through the TLR4 pathway and provide evidence that HSP70 is an endogenous in vivo TLR4 ligand."}
{"STANDARD_NAME":"GSE20715_0H_VS_24H_OZONE_LUNG_UP","SYSTEMATIC_NAME":"M4366","ORGANISM":"Mus musculus","PMID":"21543283","AUTHORS":"Bauer AK,Rondini EA,Hummel KA,Degraff LM,Walker C,Jedlicka AE,Kleeberger SR.","GEOID":"GSE20715","EXACT_SOURCE":"GSE20715_2077_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of lung tissue from wild type mice subjected to ozone for 0 h versus that from wild type mice subjected to ozone for 24 h.","DESCRIPTION_FULL":"We previously identified toll-like receptor 4 (Tlr4) as a candidate gene responsible for ozone (O3)-induced pulmonary hyperpermeability and inflammation. The objective of this study was to determine the mechanism through which TLR4 modulates O3-induced pulmonary responses and to utilize transcriptomics to determine TLR4 effector molecules. C3H/HeJ (HeJ; Tlr4 mutant) and C3H/HeOuJ (OuJ; Tlr4 normal), mice were exposed continuously to 0.3 ppm O3 or filtered air for 6, 24, 48 or 72 hr. Affymetrix Mouse430A_MOE gene arrays were used to analyze lung homogenates from HeJ and OuJ mice followed using a bioinformatic analysis. Inflammation was assessed by bronchoalveolar lavage and molecular analysis by ELISA, immunoblotting, and transcription factor activity. TLR4 signals through both the MYD88-dependent and independent pathways in OuJ mice, which involves MAP kinase activation, NF-kappaB, AP-1, and KC. Microarray analyses identifiedTLR4 responsive genes for strain and time in OuJ versus HeJ mice (p<0.05). One significantly upregulated cluster of genes in OuJ were the heat shock proteins (Hspa1b; Hsp70), Hsp90ab1). Furthermore, O3-induced expression of HSP70 protein was increased in OuJ compared to HeJ mice following 24-48 h O3. Moreover, BAL polymorphonuclear leukocytes (PMN) and total protein were significantly reduced in response to O3 in Hspa1a/Hspa1btm1Dix (Hsp70-/-) compared to Hsp70+/+ mice (p<0.05). TLR4 signaling (MYD88-dependent), ERK1/2, AP-1 activity, and KC protein content were also significantly reduced after O3 exposure in Hsp70-/- compared to Hsp70+/+ mice (p<0.05). These studies suggest that HSP70 is involved in the regulation of O3-induced lung inflammation through the TLR4 pathway and provide evidence that HSP70 is an endogenous in vivo TLR4 ligand."}
{"STANDARD_NAME":"GSE20715_0H_VS_24H_OZONE_LUNG_DN","SYSTEMATIC_NAME":"M4367","ORGANISM":"Mus musculus","PMID":"21543283","AUTHORS":"Bauer AK,Rondini EA,Hummel KA,Degraff LM,Walker C,Jedlicka AE,Kleeberger SR.","GEOID":"GSE20715","EXACT_SOURCE":"GSE20715_2077_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of lung tissue from wild type mice subjected to ozone for 0 h versus that from wild type mice subjected to ozone for 24 h.","DESCRIPTION_FULL":"We previously identified toll-like receptor 4 (Tlr4) as a candidate gene responsible for ozone (O3)-induced pulmonary hyperpermeability and inflammation. The objective of this study was to determine the mechanism through which TLR4 modulates O3-induced pulmonary responses and to utilize transcriptomics to determine TLR4 effector molecules. C3H/HeJ (HeJ; Tlr4 mutant) and C3H/HeOuJ (OuJ; Tlr4 normal), mice were exposed continuously to 0.3 ppm O3 or filtered air for 6, 24, 48 or 72 hr. Affymetrix Mouse430A_MOE gene arrays were used to analyze lung homogenates from HeJ and OuJ mice followed using a bioinformatic analysis. Inflammation was assessed by bronchoalveolar lavage and molecular analysis by ELISA, immunoblotting, and transcription factor activity. TLR4 signals through both the MYD88-dependent and independent pathways in OuJ mice, which involves MAP kinase activation, NF-kappaB, AP-1, and KC. Microarray analyses identifiedTLR4 responsive genes for strain and time in OuJ versus HeJ mice (p<0.05). One significantly upregulated cluster of genes in OuJ were the heat shock proteins (Hspa1b; Hsp70), Hsp90ab1). Furthermore, O3-induced expression of HSP70 protein was increased in OuJ compared to HeJ mice following 24-48 h O3. Moreover, BAL polymorphonuclear leukocytes (PMN) and total protein were significantly reduced in response to O3 in Hspa1a/Hspa1btm1Dix (Hsp70-/-) compared to Hsp70+/+ mice (p<0.05). TLR4 signaling (MYD88-dependent), ERK1/2, AP-1 activity, and KC protein content were also significantly reduced after O3 exposure in Hsp70-/- compared to Hsp70+/+ mice (p<0.05). These studies suggest that HSP70 is involved in the regulation of O3-induced lung inflammation through the TLR4 pathway and provide evidence that HSP70 is an endogenous in vivo TLR4 ligand."}
{"STANDARD_NAME":"GSE20715_0H_VS_48H_OZONE_LUNG_UP","SYSTEMATIC_NAME":"M4368","ORGANISM":"Mus musculus","PMID":"21543283","AUTHORS":"Bauer AK,Rondini EA,Hummel KA,Degraff LM,Walker C,Jedlicka AE,Kleeberger SR.","GEOID":"GSE20715","EXACT_SOURCE":"GSE20715_2078_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of lung tissue from wild type mice subjected to ozone for 0 h versus that from wild type mice subjected to ozone for 48 h.","DESCRIPTION_FULL":"We previously identified toll-like receptor 4 (Tlr4) as a candidate gene responsible for ozone (O3)-induced pulmonary hyperpermeability and inflammation. The objective of this study was to determine the mechanism through which TLR4 modulates O3-induced pulmonary responses and to utilize transcriptomics to determine TLR4 effector molecules. C3H/HeJ (HeJ; Tlr4 mutant) and C3H/HeOuJ (OuJ; Tlr4 normal), mice were exposed continuously to 0.3 ppm O3 or filtered air for 6, 24, 48 or 72 hr. Affymetrix Mouse430A_MOE gene arrays were used to analyze lung homogenates from HeJ and OuJ mice followed using a bioinformatic analysis. Inflammation was assessed by bronchoalveolar lavage and molecular analysis by ELISA, immunoblotting, and transcription factor activity. TLR4 signals through both the MYD88-dependent and independent pathways in OuJ mice, which involves MAP kinase activation, NF-kappaB, AP-1, and KC. Microarray analyses identifiedTLR4 responsive genes for strain and time in OuJ versus HeJ mice (p<0.05). One significantly upregulated cluster of genes in OuJ were the heat shock proteins (Hspa1b; Hsp70), Hsp90ab1). Furthermore, O3-induced expression of HSP70 protein was increased in OuJ compared to HeJ mice following 24-48 h O3. Moreover, BAL polymorphonuclear leukocytes (PMN) and total protein were significantly reduced in response to O3 in Hspa1a/Hspa1btm1Dix (Hsp70-/-) compared to Hsp70+/+ mice (p<0.05). TLR4 signaling (MYD88-dependent), ERK1/2, AP-1 activity, and KC protein content were also significantly reduced after O3 exposure in Hsp70-/- compared to Hsp70+/+ mice (p<0.05). These studies suggest that HSP70 is involved in the regulation of O3-induced lung inflammation through the TLR4 pathway and provide evidence that HSP70 is an endogenous in vivo TLR4 ligand."}
{"STANDARD_NAME":"GSE20715_0H_VS_48H_OZONE_LUNG_DN","SYSTEMATIC_NAME":"M4369","ORGANISM":"Mus musculus","PMID":"21543283","AUTHORS":"Bauer AK,Rondini EA,Hummel KA,Degraff LM,Walker C,Jedlicka AE,Kleeberger SR.","GEOID":"GSE20715","EXACT_SOURCE":"GSE20715_2078_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of lung tissue from wild type mice subjected to ozone for 0 h versus that from wild type mice subjected to ozone for 48 h.","DESCRIPTION_FULL":"We previously identified toll-like receptor 4 (Tlr4) as a candidate gene responsible for ozone (O3)-induced pulmonary hyperpermeability and inflammation. The objective of this study was to determine the mechanism through which TLR4 modulates O3-induced pulmonary responses and to utilize transcriptomics to determine TLR4 effector molecules. C3H/HeJ (HeJ; Tlr4 mutant) and C3H/HeOuJ (OuJ; Tlr4 normal), mice were exposed continuously to 0.3 ppm O3 or filtered air for 6, 24, 48 or 72 hr. Affymetrix Mouse430A_MOE gene arrays were used to analyze lung homogenates from HeJ and OuJ mice followed using a bioinformatic analysis. Inflammation was assessed by bronchoalveolar lavage and molecular analysis by ELISA, immunoblotting, and transcription factor activity. TLR4 signals through both the MYD88-dependent and independent pathways in OuJ mice, which involves MAP kinase activation, NF-kappaB, AP-1, and KC. Microarray analyses identifiedTLR4 responsive genes for strain and time in OuJ versus HeJ mice (p<0.05). One significantly upregulated cluster of genes in OuJ were the heat shock proteins (Hspa1b; Hsp70), Hsp90ab1). Furthermore, O3-induced expression of HSP70 protein was increased in OuJ compared to HeJ mice following 24-48 h O3. Moreover, BAL polymorphonuclear leukocytes (PMN) and total protein were significantly reduced in response to O3 in Hspa1a/Hspa1btm1Dix (Hsp70-/-) compared to Hsp70+/+ mice (p<0.05). TLR4 signaling (MYD88-dependent), ERK1/2, AP-1 activity, and KC protein content were also significantly reduced after O3 exposure in Hsp70-/- compared to Hsp70+/+ mice (p<0.05). These studies suggest that HSP70 is involved in the regulation of O3-induced lung inflammation through the TLR4 pathway and provide evidence that HSP70 is an endogenous in vivo TLR4 ligand."}
{"STANDARD_NAME":"GSE20715_0H_VS_6H_OZONE_TLR4_KO_LUNG_UP","SYSTEMATIC_NAME":"M4370","ORGANISM":"Mus musculus","PMID":"21543283","AUTHORS":"Bauer AK,Rondini EA,Hummel KA,Degraff LM,Walker C,Jedlicka AE,Kleeberger SR.","GEOID":"GSE20715","EXACT_SOURCE":"GSE20715_2079_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of lung tissue from wild type mice subjected to ozone for 0 h versus that from TLR4 [GeneID=7099] deficient mice subjected to ozone for 6 h.","DESCRIPTION_FULL":"We previously identified toll-like receptor 4 (Tlr4) as a candidate gene responsible for ozone (O3)-induced pulmonary hyperpermeability and inflammation. The objective of this study was to determine the mechanism through which TLR4 modulates O3-induced pulmonary responses and to utilize transcriptomics to determine TLR4 effector molecules. C3H/HeJ (HeJ; Tlr4 mutant) and C3H/HeOuJ (OuJ; Tlr4 normal), mice were exposed continuously to 0.3 ppm O3 or filtered air for 6, 24, 48 or 72 hr. Affymetrix Mouse430A_MOE gene arrays were used to analyze lung homogenates from HeJ and OuJ mice followed using a bioinformatic analysis. Inflammation was assessed by bronchoalveolar lavage and molecular analysis by ELISA, immunoblotting, and transcription factor activity. TLR4 signals through both the MYD88-dependent and independent pathways in OuJ mice, which involves MAP kinase activation, NF-kappaB, AP-1, and KC. Microarray analyses identifiedTLR4 responsive genes for strain and time in OuJ versus HeJ mice (p<0.05). One significantly upregulated cluster of genes in OuJ were the heat shock proteins (Hspa1b; Hsp70), Hsp90ab1). Furthermore, O3-induced expression of HSP70 protein was increased in OuJ compared to HeJ mice following 24-48 h O3. Moreover, BAL polymorphonuclear leukocytes (PMN) and total protein were significantly reduced in response to O3 in Hspa1a/Hspa1btm1Dix (Hsp70-/-) compared to Hsp70+/+ mice (p<0.05). TLR4 signaling (MYD88-dependent), ERK1/2, AP-1 activity, and KC protein content were also significantly reduced after O3 exposure in Hsp70-/- compared to Hsp70+/+ mice (p<0.05). These studies suggest that HSP70 is involved in the regulation of O3-induced lung inflammation through the TLR4 pathway and provide evidence that HSP70 is an endogenous in vivo TLR4 ligand."}
{"STANDARD_NAME":"GSE20715_0H_VS_6H_OZONE_TLR4_KO_LUNG_DN","SYSTEMATIC_NAME":"M4373","ORGANISM":"Mus musculus","PMID":"21543283","AUTHORS":"Bauer AK,Rondini EA,Hummel KA,Degraff LM,Walker C,Jedlicka AE,Kleeberger SR.","GEOID":"GSE20715","EXACT_SOURCE":"GSE20715_2079_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of lung tissue from wild type mice subjected to ozone for 0 h versus that from TLR4 [GeneID=7099] deficient mice subjected to ozone for 6 h.","DESCRIPTION_FULL":"We previously identified toll-like receptor 4 (Tlr4) as a candidate gene responsible for ozone (O3)-induced pulmonary hyperpermeability and inflammation. The objective of this study was to determine the mechanism through which TLR4 modulates O3-induced pulmonary responses and to utilize transcriptomics to determine TLR4 effector molecules. C3H/HeJ (HeJ; Tlr4 mutant) and C3H/HeOuJ (OuJ; Tlr4 normal), mice were exposed continuously to 0.3 ppm O3 or filtered air for 6, 24, 48 or 72 hr. Affymetrix Mouse430A_MOE gene arrays were used to analyze lung homogenates from HeJ and OuJ mice followed using a bioinformatic analysis. Inflammation was assessed by bronchoalveolar lavage and molecular analysis by ELISA, immunoblotting, and transcription factor activity. TLR4 signals through both the MYD88-dependent and independent pathways in OuJ mice, which involves MAP kinase activation, NF-kappaB, AP-1, and KC. Microarray analyses identifiedTLR4 responsive genes for strain and time in OuJ versus HeJ mice (p<0.05). One significantly upregulated cluster of genes in OuJ were the heat shock proteins (Hspa1b; Hsp70), Hsp90ab1). Furthermore, O3-induced expression of HSP70 protein was increased in OuJ compared to HeJ mice following 24-48 h O3. Moreover, BAL polymorphonuclear leukocytes (PMN) and total protein were significantly reduced in response to O3 in Hspa1a/Hspa1btm1Dix (Hsp70-/-) compared to Hsp70+/+ mice (p<0.05). TLR4 signaling (MYD88-dependent), ERK1/2, AP-1 activity, and KC protein content were also significantly reduced after O3 exposure in Hsp70-/- compared to Hsp70+/+ mice (p<0.05). These studies suggest that HSP70 is involved in the regulation of O3-induced lung inflammation through the TLR4 pathway and provide evidence that HSP70 is an endogenous in vivo TLR4 ligand."}
{"STANDARD_NAME":"GSE20715_0H_VS_24H_OZONE_TLR4_KO_LUNG_UP","SYSTEMATIC_NAME":"M4374","ORGANISM":"Mus musculus","PMID":"21543283","AUTHORS":"Bauer AK,Rondini EA,Hummel KA,Degraff LM,Walker C,Jedlicka AE,Kleeberger SR.","GEOID":"GSE20715","EXACT_SOURCE":"GSE20715_2080_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of lung tissue from wild type mice subjected to ozone for 0 h versus that from TLR4 [GeneID=7099] deficient mice subjected to ozone for 24 h.","DESCRIPTION_FULL":"We previously identified toll-like receptor 4 (Tlr4) as a candidate gene responsible for ozone (O3)-induced pulmonary hyperpermeability and inflammation. The objective of this study was to determine the mechanism through which TLR4 modulates O3-induced pulmonary responses and to utilize transcriptomics to determine TLR4 effector molecules. C3H/HeJ (HeJ; Tlr4 mutant) and C3H/HeOuJ (OuJ; Tlr4 normal), mice were exposed continuously to 0.3 ppm O3 or filtered air for 6, 24, 48 or 72 hr. Affymetrix Mouse430A_MOE gene arrays were used to analyze lung homogenates from HeJ and OuJ mice followed using a bioinformatic analysis. Inflammation was assessed by bronchoalveolar lavage and molecular analysis by ELISA, immunoblotting, and transcription factor activity. TLR4 signals through both the MYD88-dependent and independent pathways in OuJ mice, which involves MAP kinase activation, NF-kappaB, AP-1, and KC. Microarray analyses identifiedTLR4 responsive genes for strain and time in OuJ versus HeJ mice (p<0.05). One significantly upregulated cluster of genes in OuJ were the heat shock proteins (Hspa1b; Hsp70), Hsp90ab1). Furthermore, O3-induced expression of HSP70 protein was increased in OuJ compared to HeJ mice following 24-48 h O3. Moreover, BAL polymorphonuclear leukocytes (PMN) and total protein were significantly reduced in response to O3 in Hspa1a/Hspa1btm1Dix (Hsp70-/-) compared to Hsp70+/+ mice (p<0.05). TLR4 signaling (MYD88-dependent), ERK1/2, AP-1 activity, and KC protein content were also significantly reduced after O3 exposure in Hsp70-/- compared to Hsp70+/+ mice (p<0.05). These studies suggest that HSP70 is involved in the regulation of O3-induced lung inflammation through the TLR4 pathway and provide evidence that HSP70 is an endogenous in vivo TLR4 ligand."}
{"STANDARD_NAME":"GSE20715_0H_VS_24H_OZONE_TLR4_KO_LUNG_DN","SYSTEMATIC_NAME":"M4375","ORGANISM":"Mus musculus","PMID":"21543283","AUTHORS":"Bauer AK,Rondini EA,Hummel KA,Degraff LM,Walker C,Jedlicka AE,Kleeberger SR.","GEOID":"GSE20715","EXACT_SOURCE":"GSE20715_2080_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of lung tissue from wild type mice subjected to ozone for 0 h versus that from TLR4 [GeneID=7099] deficient mice subjected to ozone for 24 h.","DESCRIPTION_FULL":"We previously identified toll-like receptor 4 (Tlr4) as a candidate gene responsible for ozone (O3)-induced pulmonary hyperpermeability and inflammation. The objective of this study was to determine the mechanism through which TLR4 modulates O3-induced pulmonary responses and to utilize transcriptomics to determine TLR4 effector molecules. C3H/HeJ (HeJ; Tlr4 mutant) and C3H/HeOuJ (OuJ; Tlr4 normal), mice were exposed continuously to 0.3 ppm O3 or filtered air for 6, 24, 48 or 72 hr. Affymetrix Mouse430A_MOE gene arrays were used to analyze lung homogenates from HeJ and OuJ mice followed using a bioinformatic analysis. Inflammation was assessed by bronchoalveolar lavage and molecular analysis by ELISA, immunoblotting, and transcription factor activity. TLR4 signals through both the MYD88-dependent and independent pathways in OuJ mice, which involves MAP kinase activation, NF-kappaB, AP-1, and KC. Microarray analyses identifiedTLR4 responsive genes for strain and time in OuJ versus HeJ mice (p<0.05). One significantly upregulated cluster of genes in OuJ were the heat shock proteins (Hspa1b; Hsp70), Hsp90ab1). Furthermore, O3-induced expression of HSP70 protein was increased in OuJ compared to HeJ mice following 24-48 h O3. Moreover, BAL polymorphonuclear leukocytes (PMN) and total protein were significantly reduced in response to O3 in Hspa1a/Hspa1btm1Dix (Hsp70-/-) compared to Hsp70+/+ mice (p<0.05). TLR4 signaling (MYD88-dependent), ERK1/2, AP-1 activity, and KC protein content were also significantly reduced after O3 exposure in Hsp70-/- compared to Hsp70+/+ mice (p<0.05). These studies suggest that HSP70 is involved in the regulation of O3-induced lung inflammation through the TLR4 pathway and provide evidence that HSP70 is an endogenous in vivo TLR4 ligand."}
{"STANDARD_NAME":"GSE20715_0H_VS_48H_OZONE_TLR4_KO_LUNG_UP","SYSTEMATIC_NAME":"M4379","ORGANISM":"Mus musculus","PMID":"21543283","AUTHORS":"Bauer AK,Rondini EA,Hummel KA,Degraff LM,Walker C,Jedlicka AE,Kleeberger SR.","GEOID":"GSE20715","EXACT_SOURCE":"GSE20715_2081_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of lung tissue from wild type mice subjected to ozone for 0 h versus that from TLR4 [GeneID=7099] deficient mice subjected to ozone for 48 h.","DESCRIPTION_FULL":"We previously identified toll-like receptor 4 (Tlr4) as a candidate gene responsible for ozone (O3)-induced pulmonary hyperpermeability and inflammation. The objective of this study was to determine the mechanism through which TLR4 modulates O3-induced pulmonary responses and to utilize transcriptomics to determine TLR4 effector molecules. C3H/HeJ (HeJ; Tlr4 mutant) and C3H/HeOuJ (OuJ; Tlr4 normal), mice were exposed continuously to 0.3 ppm O3 or filtered air for 6, 24, 48 or 72 hr. Affymetrix Mouse430A_MOE gene arrays were used to analyze lung homogenates from HeJ and OuJ mice followed using a bioinformatic analysis. Inflammation was assessed by bronchoalveolar lavage and molecular analysis by ELISA, immunoblotting, and transcription factor activity. TLR4 signals through both the MYD88-dependent and independent pathways in OuJ mice, which involves MAP kinase activation, NF-kappaB, AP-1, and KC. Microarray analyses identifiedTLR4 responsive genes for strain and time in OuJ versus HeJ mice (p<0.05). One significantly upregulated cluster of genes in OuJ were the heat shock proteins (Hspa1b; Hsp70), Hsp90ab1). Furthermore, O3-induced expression of HSP70 protein was increased in OuJ compared to HeJ mice following 24-48 h O3. Moreover, BAL polymorphonuclear leukocytes (PMN) and total protein were significantly reduced in response to O3 in Hspa1a/Hspa1btm1Dix (Hsp70-/-) compared to Hsp70+/+ mice (p<0.05). TLR4 signaling (MYD88-dependent), ERK1/2, AP-1 activity, and KC protein content were also significantly reduced after O3 exposure in Hsp70-/- compared to Hsp70+/+ mice (p<0.05). These studies suggest that HSP70 is involved in the regulation of O3-induced lung inflammation through the TLR4 pathway and provide evidence that HSP70 is an endogenous in vivo TLR4 ligand."}
{"STANDARD_NAME":"GSE20715_0H_VS_48H_OZONE_TLR4_KO_LUNG_DN","SYSTEMATIC_NAME":"M4386","ORGANISM":"Mus musculus","PMID":"21543283","AUTHORS":"Bauer AK,Rondini EA,Hummel KA,Degraff LM,Walker C,Jedlicka AE,Kleeberger SR.","GEOID":"GSE20715","EXACT_SOURCE":"GSE20715_2081_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of lung tissue from wild type mice subjected to ozone for 0 h versus that from TLR4 [GeneID=7099] deficient mice subjected to ozone for 48 h.","DESCRIPTION_FULL":"We previously identified toll-like receptor 4 (Tlr4) as a candidate gene responsible for ozone (O3)-induced pulmonary hyperpermeability and inflammation. The objective of this study was to determine the mechanism through which TLR4 modulates O3-induced pulmonary responses and to utilize transcriptomics to determine TLR4 effector molecules. C3H/HeJ (HeJ; Tlr4 mutant) and C3H/HeOuJ (OuJ; Tlr4 normal), mice were exposed continuously to 0.3 ppm O3 or filtered air for 6, 24, 48 or 72 hr. Affymetrix Mouse430A_MOE gene arrays were used to analyze lung homogenates from HeJ and OuJ mice followed using a bioinformatic analysis. Inflammation was assessed by bronchoalveolar lavage and molecular analysis by ELISA, immunoblotting, and transcription factor activity. TLR4 signals through both the MYD88-dependent and independent pathways in OuJ mice, which involves MAP kinase activation, NF-kappaB, AP-1, and KC. Microarray analyses identifiedTLR4 responsive genes for strain and time in OuJ versus HeJ mice (p<0.05). One significantly upregulated cluster of genes in OuJ were the heat shock proteins (Hspa1b; Hsp70), Hsp90ab1). Furthermore, O3-induced expression of HSP70 protein was increased in OuJ compared to HeJ mice following 24-48 h O3. Moreover, BAL polymorphonuclear leukocytes (PMN) and total protein were significantly reduced in response to O3 in Hspa1a/Hspa1btm1Dix (Hsp70-/-) compared to Hsp70+/+ mice (p<0.05). TLR4 signaling (MYD88-dependent), ERK1/2, AP-1 activity, and KC protein content were also significantly reduced after O3 exposure in Hsp70-/- compared to Hsp70+/+ mice (p<0.05). These studies suggest that HSP70 is involved in the regulation of O3-induced lung inflammation through the TLR4 pathway and provide evidence that HSP70 is an endogenous in vivo TLR4 ligand."}
{"STANDARD_NAME":"GSE2197_IMMUNOSUPPRESSIVE_DNA_VS_UNTREATED_IN_DC_UP","SYSTEMATIC_NAME":"M4387","ORGANISM":"Mus musculus","PMID":"16413926","AUTHORS":"Stetson DB,Medzhitov R.","GEOID":"GSE2197","EXACT_SOURCE":"GSE2197_1052_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) treated with immunosuppressive DNA versus the untreated cells.","DESCRIPTION_FULL":"Bone marrow-derived dendritic cells were left untreated or stimulated with lipid-transfected double-stranded DNA or CpG oligonucleotides for four hours before harvesting."}
{"STANDARD_NAME":"GSE2197_IMMUNOSUPPRESSIVE_DNA_VS_UNTREATEDIN_DC_DN","SYSTEMATIC_NAME":"M4390","ORGANISM":"Mus musculus","PMID":"16413926","AUTHORS":"Stetson DB,Medzhitov R.","GEOID":"GSE2197","EXACT_SOURCE":"GSE2197_1052_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) treated with immunosuppressive DNA versus the untreated cells.","DESCRIPTION_FULL":"Bone marrow-derived dendritic cells were left untreated or stimulated with lipid-transfected double-stranded DNA or CpG oligonucleotides for four hours before harvesting."}
{"STANDARD_NAME":"GSE2197_CPG_DNA_VS_UNTREATED_IN_DC_UP","SYSTEMATIC_NAME":"M4393","ORGANISM":"Mus musculus","PMID":"16413926","AUTHORS":"Stetson DB,Medzhitov R.","GEOID":"GSE2197","EXACT_SOURCE":"GSE2197_1051_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) treated with CpG DNA (TLR9 agonist) DNA versus the untreated cells.","DESCRIPTION_FULL":"Bone marrow-derived dendritic cells were left untreated or stimulated with lipid-transfected double-stranded DNA or CpG oligonucleotides for four hours before harvesting."}
{"STANDARD_NAME":"GSE2197_CPG_DNA_VS_UNTREATED_IN_DC_DN","SYSTEMATIC_NAME":"M4398","ORGANISM":"Mus musculus","PMID":"16413926","AUTHORS":"Stetson DB,Medzhitov R.","GEOID":"GSE2197","EXACT_SOURCE":"GSE2197_1051_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) treated with CpG DNA (TLR9 agonist) DNA versus the untreated cells.","DESCRIPTION_FULL":"Bone marrow-derived dendritic cells were left untreated or stimulated with lipid-transfected double-stranded DNA or CpG oligonucleotides for four hours before harvesting."}
{"STANDARD_NAME":"GSE22045_TREG_VS_TCONV_UP","SYSTEMATIC_NAME":"M4400","ORGANISM":"Homo sapiens","PMID":"22562448","AUTHORS":"Bonacci B,Edwards B,Jia S,Williams CB,Hessner MJ,Gauld SB,Verbsky JW.","GEOID":"GSE22045","EXACT_SOURCE":"GSE22045_1301_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of regulatory T cell (Treg) versus conventional T cells.","DESCRIPTION_FULL":"Human regulatory T cells (TR) cells have potential for the treatment of immune mediated diseases, such as graft versus host disease, but the anergic phenotype of these cells makes them difficult to expand in vitro. We have examined the requirements for growth and cytokine expression from highly purified human TR cells, and correlated these findings with the signal transduction events of these cells. We demonstrate that these cells do not proliferate or secrete IL-10 even in the presence of high doses of IL-2. Stimulation with a superagonistic anti-CD28 antibody (clone 9D4) and IL-2 partially reversed the proliferative defect, and this correlated with reversal of the defective calcium mobilization in these cells. Dendritic cells were effective at promoting TR cell proliferation, and under these conditions the proliferative capacity of TR cells was comparable to conventional CD4 lymphocytes. Blocking TGF-beta activity abrogated IL-10 expression from these cells, while addition of TGF-beta resulted in IL-10 production. These data demonstrate the ability of dendritic cells to provide proper costimulation to overcome the anergic phenotype of TR cells. In addition, these data demonstrate for the first time that TGF-beta is critical to enable TR cells to express IL-10."}
{"STANDARD_NAME":"GSE22045_TREG_VS_TCONV_DN","SYSTEMATIC_NAME":"M4401","ORGANISM":"Homo sapiens","PMID":"22562448","AUTHORS":"Bonacci B,Edwards B,Jia S,Williams CB,Hessner MJ,Gauld SB,Verbsky JW.","GEOID":"GSE22045","EXACT_SOURCE":"GSE22045_1301_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of regulatory T cell (Treg) versus conventional T cells.","DESCRIPTION_FULL":"Human regulatory T cells (TR) cells have potential for the treatment of immune mediated diseases, such as graft versus host disease, but the anergic phenotype of these cells makes them difficult to expand in vitro. We have examined the requirements for growth and cytokine expression from highly purified human TR cells, and correlated these findings with the signal transduction events of these cells. We demonstrate that these cells do not proliferate or secrete IL-10 even in the presence of high doses of IL-2. Stimulation with a superagonistic anti-CD28 antibody (clone 9D4) and IL-2 partially reversed the proliferative defect, and this correlated with reversal of the defective calcium mobilization in these cells. Dendritic cells were effective at promoting TR cell proliferation, and under these conditions the proliferative capacity of TR cells was comparable to conventional CD4 lymphocytes. Blocking TGF-beta activity abrogated IL-10 expression from these cells, while addition of TGF-beta resulted in IL-10 production. These data demonstrate the ability of dendritic cells to provide proper costimulation to overcome the anergic phenotype of TR cells. In addition, these data demonstrate for the first time that TGF-beta is critical to enable TR cells to express IL-10."}
{"STANDARD_NAME":"GSE22886_CD8_VS_CD4_NAIVE_TCELL_UP","SYSTEMATIC_NAME":"M4402","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1626_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive CD8 T cells versus naive CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_CD8_VS_CD4_NAIVE_TCELL_DN","SYSTEMATIC_NAME":"M4404","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1626_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive CD8 T cells versus naive CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_NAIVE_CD8_TCELL_VS_MEMORY_TCELL_UP","SYSTEMATIC_NAME":"M4405","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1627_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive CD8 T cells versus naive CD4 [GeneID=920] CD8 T cells.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_NAIVE_CD8_TCELL_VS_MEMORY_TCELL_DN","SYSTEMATIC_NAME":"M4407","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1627_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive CD8 T cells versus naive CD4 [GeneID=920] CD8 T cells.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_UNSTIM_VS_STIM_MEMORY_TCELL_UP","SYSTEMATIC_NAME":"M4408","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1628_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of unstimulated memory CD4 [GeneID=920] CD8 T cells versus stimulated CD4 [GeneID=920] CD8 T cells.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_UNSTIM_VS_STIM_MEMORY_TCELL_DN","SYSTEMATIC_NAME":"M4410","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1628_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of unstimulated memory CD4 [GeneID=920] CD8 T cells versus stimulated CD4 [GeneID=920] CD8 T cells.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_NAIVE_CD4_TCELL_VS_MEMORY_TCELL_UP","SYSTEMATIC_NAME":"M4411","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1629_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive CD4 [GeneID=920] T cells versus unstimulated memory CD4 [GeneID=920] CD8 T cells.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_NAIVE_CD4_TCELL_VS_MEMORY_TCELL_DN","SYSTEMATIC_NAME":"M4412","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1629_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive CD4 [GeneID=920] T cells versus unstimulated memory CD4 [GeneID=920] CD8 T cells.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_NAIVE_TCELL_VS_NKCELL_UP","SYSTEMATIC_NAME":"M4413","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1630_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive CD4 [GeneID=920] CD8 T cells versus unstimulated NK cells.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_NAIVE_TCELL_VS_NKCELL_DN","SYSTEMATIC_NAME":"M4415","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1630_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive CD4 [GeneID=920] CD8 T cells versus unstimulated NK cells.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_NAIVE_VS_MEMORY_TCELL_UP","SYSTEMATIC_NAME":"M4416","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1631_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive CD4 [GeneID=920] CD8 T cells versus unstimulated memory CD4 [GeneID=920] CD8 T cells.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_NAIVE_VS_MEMORY_TCELL_DN","SYSTEMATIC_NAME":"M4417","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1631_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive CD4 [GeneID=920] CD8 T cells versus unstimulated memory CD4 [GeneID=920] CD8 T cells.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_NAIVE_CD8_TCELL_VS_NKCELL_UP","SYSTEMATIC_NAME":"M4418","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1632_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive CD8 T cells versus unstimulated NK cells.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_NAIVE_CD8_TCELL_VS_NKCELL_DN","SYSTEMATIC_NAME":"M4421","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1632_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive CD8 T cells versus unstimulated NK cells.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_NAIVE_CD4_TCELL_VS_NKCELL_UP","SYSTEMATIC_NAME":"M4423","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1633_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive CD4 [GeneID=920] T cells versus unstimulated NK cells.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_NAIVE_CD4_TCELL_VS_NKCELL_DN","SYSTEMATIC_NAME":"M4424","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1633_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive CD4 [GeneID=920] T cells versus unstimulated NK cells.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_TCELL_VS_BCELL_NAIVE_UP","SYSTEMATIC_NAME":"M4425","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1634_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive CD4 [GeneID=920] CD8 T cells versus naive B cells.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_TCELL_VS_BCELL_NAIVE_DN","SYSTEMATIC_NAME":"M4426","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1634_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive CD4 [GeneID=920] CD8 T cells versus naive B cells.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_CD8_TCELL_VS_BCELL_NAIVE_UP","SYSTEMATIC_NAME":"M4427","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1635_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive CD8 T cells versus naive B cells.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_CD8_TCELL_VS_BCELL_NAIVE_DN","SYSTEMATIC_NAME":"M4429","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1635_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive CD8 T cells versus naive B cells.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_CD4_TCELL_VS_BCELL_NAIVE_UP","SYSTEMATIC_NAME":"M4430","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1636_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive CD4 [GeneID=920] T cells versus naive B cells.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_CD4_TCELL_VS_BCELL_NAIVE_DN","SYSTEMATIC_NAME":"M4431","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1636_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive CD4 [GeneID=920] T cells versus naive B cells.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_NAIVE_VS_IGG_IGA_MEMORY_BCELL_UP","SYSTEMATIC_NAME":"M4432","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1637_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive B cells versus memory IgG IgA B cells.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_NAIVE_VS_IGG_IGA_MEMORY_BCELL_DN","SYSTEMATIC_NAME":"M4433","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1637_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive B cells versus memory IgG IgA B cells.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_NAIVE_VS_IGM_MEMORY_BCELL_UP","SYSTEMATIC_NAME":"M4434","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1638_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive B cells versus memory IgM B cells.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_NAIVE_VS_IGM_MEMORY_BCELL_DN","SYSTEMATIC_NAME":"M4436","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1638_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive B cells versus memory IgM B cells.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_IGA_VS_IGM_MEMORY_BCELL_UP","SYSTEMATIC_NAME":"M4437","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1639_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of memory IgG IgA B cells versus memory IgM B cells.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_IGA_VS_IGM_MEMORY_BCELL_DN","SYSTEMATIC_NAME":"M4439","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1639_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of memory IgG IgA B cells versus memory IgM B cells.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_NAIVE_BCELL_VS_BLOOD_PLASMA_CELL_UP","SYSTEMATIC_NAME":"M4440","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1640_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive B cells versus blood plasma cells.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_NAIVE_BCELL_VS_BLOOD_PLASMA_CELL_DN","SYSTEMATIC_NAME":"M4441","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1640_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive B cells versus blood plasma cells.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_NAIVE_BCELL_VS_BM_PLASMA_CELL_UP","SYSTEMATIC_NAME":"M4442","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1641_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive B cells versus plasma cells from bone marrow and blood.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_NAIVE_BCELL_VS_BM_PLASMA_CELL_DN","SYSTEMATIC_NAME":"M4443","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1641_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive B cells versus plasma cells from bone marrow and blood.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_IGG_IGA_MEMORY_BCELL_VS_BLOOD_PLASMA_CELL_UP","SYSTEMATIC_NAME":"M4444","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1642_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of memory IgG IgA B cells versus blood plasma cells.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_IGG_IGA_MEMORY_BCELL_VS_BLOOD_PLASMA_CELL_DN","SYSTEMATIC_NAME":"M4446","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1642_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of memory IgG IgA B cells versus blood plasma cells.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_IGG_IGA_MEMORY_BCELL_VS_BM_PLASMA_CELL_UP","SYSTEMATIC_NAME":"M4449","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1643_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of memory IgG IgA B cells versus plasma cells from bone marrow and blood.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_IGG_IGA_MEMORY_BCELL_VS_BM_PLASMA_CELL_DN","SYSTEMATIC_NAME":"M4450","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1643_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of memory IgG IgA B cells versus plasma cells from bone marrow and blood.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_IGM_MEMORY_BCELL_VS_BLOOD_PLASMA_CELL_UP","SYSTEMATIC_NAME":"M4451","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1644_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of memory IgM B cells versus blood plasma cells.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_IGM_MEMORY_BCELL_VS_BLOOD_PLASMA_CELL_DN","SYSTEMATIC_NAME":"M4454","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1644_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of memory IgM B cells versus blood plasma cells.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_IGM_MEMORY_BCELL_VS_BM_PLASMA_CELL_UP","SYSTEMATIC_NAME":"M4456","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1645_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of memory IgM B cells versus plasma cells from bone marrow and blood.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_IGM_MEMORY_BCELL_VS_BM_PLASMA_CELL_DN","SYSTEMATIC_NAME":"M4457","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1645_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of memory IgM B cells versus plasma cells from bone marrow and blood.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_DAY0_VS_DAY1_MONOCYTE_IN_CULTURE_UP","SYSTEMATIC_NAME":"M4458","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1646_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of monocytes cultured for 0 days versus those cultured for 1 day.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_DAY0_VS_DAY1_MONOCYTE_IN_CULTURE_DN","SYSTEMATIC_NAME":"M4459","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1646_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of monocytes cultured for 0 days versus those cultured for 1 day.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_DAY0_VS_DAY7_MONOCYTE_IN_CULTURE_UP","SYSTEMATIC_NAME":"M4460","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1647_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of monocytes cultured for 0 days versus those cultured for 7 days.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_DAY0_VS_DAY7_MONOCYTE_IN_CULTURE_DN","SYSTEMATIC_NAME":"M4461","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1647_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of monocytes cultured for 0 days versus those cultured for 7 days.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_DAY1_VS_DAY7_MONOCYTE_IN_CULTURE_UP","SYSTEMATIC_NAME":"M4462","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1648_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of monocytes cultured for 1 day versus those cultured for 7 days.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_DAY1_VS_DAY7_MONOCYTE_IN_CULTURE_DN","SYSTEMATIC_NAME":"M4463","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1648_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of monocytes cultured for 1 day versus those cultured for 7 days.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_NEUTROPHIL_VS_DC_UP","SYSTEMATIC_NAME":"M4464","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1649_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of neutrophils versus dendritic cells (DC).","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_NEUTROPHIL_VS_DC_DN","SYSTEMATIC_NAME":"M4465","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1649_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of neutrophils versus dendritic cells (DC).","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_NEUTROPHIL_VS_MONOCYTE_UP","SYSTEMATIC_NAME":"M4466","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1650_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of neuthrophils versus monocytes.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_NEUTROPHIL_VS_MONOCYTE_DN","SYSTEMATIC_NAME":"M4467","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1650_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of neutrophils versusl monocytes.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_DC_VS_MONOCYTE_UP","SYSTEMATIC_NAME":"M4471","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1651_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) versus monocytes.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_DC_VS_MONOCYTE_DN","SYSTEMATIC_NAME":"M4472","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1651_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) versus monocytes.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_NAIVE_TCELL_VS_NEUTROPHIL_UP","SYSTEMATIC_NAME":"M4473","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1652_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive CD4 [GeneID=920] CD8 T cells versus unstimulated neutrophils.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_NAIVE_TCELL_VS_NEUTROPHIL_DN","SYSTEMATIC_NAME":"M4474","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1652_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive CD4 [GeneID=920] CD8 T cells versus unstimulated neutrophils.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_NAIVE_TCELL_VS_DC_UP","SYSTEMATIC_NAME":"M4475","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1653_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive CD4 [GeneID=920] CD8 T cells versus unstimulated dendritic cells (DC).","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_NAIVE_TCELL_VS_DC_DN","SYSTEMATIC_NAME":"M4476","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1653_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive CD4 [GeneID=920] CD8 T cells versus unstimulated dendritic cells (DC).","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_NAIVE_TCELL_VS_MONOCYTE_UP","SYSTEMATIC_NAME":"M4478","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1654_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive CD4 [GeneID=920] CD8 T cells versus monocytes cultured for 0 days.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_NAIVE_TCELL_VS_MONOCYTE_DN","SYSTEMATIC_NAME":"M4480","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1654_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive CD4 [GeneID=920] CD8 T cells versus monocytes cultured for 0 days.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_NAIVE_BCELL_VS_NEUTROPHIL_UP","SYSTEMATIC_NAME":"M4481","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1655_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive B cells versus unstimulated neutrophils.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_NAIVE_BCELL_VS_NEUTROPHIL_DN","SYSTEMATIC_NAME":"M4482","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1655_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive B cells versus unstimulated neutrophils.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_NAIVE_BCELL_VS_DC_UP","SYSTEMATIC_NAME":"M4483","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1656_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive B cells versus unstimulated dendritic cells (DC).","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_NAIVE_BCELL_VS_DC_DN","SYSTEMATIC_NAME":"M4484","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1656_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive B cells versus unstimulated dendritic cells (DC).","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_NAIVE_BCELL_VS_MONOCYTE_UP","SYSTEMATIC_NAME":"M4485","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1657_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive B cells versus day 0 monocytes.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_NAIVE_BCELL_VS_MONOCYTE_DN","SYSTEMATIC_NAME":"M4486","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1657_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive B cells versus day 0 monocytes.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_NAIVE_CD8_TCELL_VS_NEUTROPHIL_UP","SYSTEMATIC_NAME":"M4488","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1658_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive CD8 T cells versus unstimulated neutrophils.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_NAIVE_CD8_TCELL_VS_NEUTROPHIL_DN","SYSTEMATIC_NAME":"M4489","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1658_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive CD8 T cells versus unstimulated neutrophils.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_NAIVE_CD8_TCELL_VS_DC_UP","SYSTEMATIC_NAME":"M4490","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1659_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive CD8 T cells versus unstimulated dendritic cells (DC).","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_NAIVE_CD8_TCELL_VS_DC_DN","SYSTEMATIC_NAME":"M4492","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1659_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive CD8 T cells versus unstimulated dendritic cells (DC).","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_NAIVE_CD8_TCELL_VS_MONOCYTE_UP","SYSTEMATIC_NAME":"M4494","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1660_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive CD8 T cells versus day 0 monocytes.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_NAIVE_CD8_TCELL_VS_MONOCYTE_DN","SYSTEMATIC_NAME":"M4496","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1660_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive CD8 T cells versus day 0 monocytes.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_NAIVE_CD4_TCELL_VS_NEUTROPHIL_UP","SYSTEMATIC_NAME":"M4497","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1661_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive CD4 [GeneID=920] T cells versus unstimulated neutrophils.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_NAIVE_CD4_TCELL_VS_NEUTROPHIL_DN","SYSTEMATIC_NAME":"M4498","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1661_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive CD4 [GeneID=920] T cells versus unstimulated neutrophils.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_NAIVE_CD4_TCELL_VS_DC_UP","SYSTEMATIC_NAME":"M4501","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1662_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive CD4 [GeneID=920] T cells versus unstimulatd dendritic cells (DC).","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_NAIVE_CD4_TCELL_VS_DC_DN","SYSTEMATIC_NAME":"M4503","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1662_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive CD4 [GeneID=920] T cells versus unstimulatd dendritic cells (DC).","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_NAIVE_CD4_TCELL_VS_MONOCYTE_UP","SYSTEMATIC_NAME":"M4504","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1663_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive CD4 [GeneID=920] T cells versus day 0 monocytes.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_NAIVE_CD4_TCELL_VS_MONOCYTE_DN","SYSTEMATIC_NAME":"M4506","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1663_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive CD4 [GeneID=920] T cells versus day 0 monocytes.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_TH1_VS_TH2_12H_ACT_UP","SYSTEMATIC_NAME":"M4507","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1664_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of stimulated CD4 [GeneID=920] Th1 cells at 12 h versus stimulated CD4 [GeneID=920] Th2 cells at 12 h.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_TH1_VS_TH2_12H_ACT_DN","SYSTEMATIC_NAME":"M4509","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1664_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of stimulated CD4 [GeneID=920] Th1 cells at 12 h versus stimulated CD4 [GeneID=920] Th2 cells at 12 h.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_TH1_VS_TH2_48H_ACT_UP","SYSTEMATIC_NAME":"M4510","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1665_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of stimulated CD4 [GeneID=920] Th1 cells at 48 h versus stimulated CD4 [GeneID=920] Th2 cells at 48 h.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_TH1_VS_TH2_48H_ACT_DN","SYSTEMATIC_NAME":"M4512","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1665_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of stimulated CD4 [GeneID=920] Th1 cells at 48 h versus stimulated CD4 [GeneID=920] Th2 cells at 48 h.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_IL2_VS_IL15_STIM_NKCELL_UP","SYSTEMATIC_NAME":"M4514","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1666_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of NK cells stimulated with IL2 [GeneID=3558] at 16 h versus NK cells stimulated with IL15 [GeneID=3600] at 16 h.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_IL2_VS_IL15_STIM_NKCELL_DN","SYSTEMATIC_NAME":"M4516","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1666_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of NK cells stimulated with IL2 [GeneID=3558] at 16 h versus NK cells stimulated with IL15 [GeneID=3600] at 16 h.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_CTRL_VS_LPS_24H_DC_UP","SYSTEMATIC_NAME":"M4518","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1667_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of unstimulated dendritic cells (DC) versus 1 day DC stimulated with LPS (TLR4 agonist).","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_CTRL_VS_LPS_24H_DC_DN","SYSTEMATIC_NAME":"M4520","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1667_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of unstimulated dendritic cells (DC) versus 1 day DC stimulated with LPS (TLR4 agonist).","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_NAIVE_CD4_TCELL_VS_12H_ACT_TH1_UP","SYSTEMATIC_NAME":"M4521","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1668_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive CD4 [GeneID=920] T cells versus stimulated CD4 [GeneID=920] Th1 cells at 12 h.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_NAIVE_CD4_TCELL_VS_12H_ACT_TH1_DN","SYSTEMATIC_NAME":"M4523","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1668_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive CD4 [GeneID=920] T cells versus stimulated CD4 [GeneID=920] Th1 cells at 12 h.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_NAIVE_CD4_TCELL_VS_48H_ACT_TH1_UP","SYSTEMATIC_NAME":"M4524","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1669_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive CD4 [GeneID=920] T cells versus stimulated CD4 [GeneID=920] Th1 cells at 48 h.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_NAIVE_CD4_TCELL_VS_48H_ACT_TH1_DN","SYSTEMATIC_NAME":"M4525","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1669_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive CD4 [GeneID=920] T cells versus stimulated CD4 [GeneID=920] Th1 cells at 48 h.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_NAIVE_CD4_TCELL_VS_12H_ACT_TH2_UP","SYSTEMATIC_NAME":"M4526","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1670_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive CD4 [GeneID=920] T cells versus stimulated CD4 [GeneID=920] Th2 cells at 12 h.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_NAIVE_CD4_TCELL_VS_12H_ACT_TH2_DN","SYSTEMATIC_NAME":"M4527","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1670_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive CD4 [GeneID=920] T cells versus stimulated CD4 [GeneID=920] Th2 cells at 12 h.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_NAIVE_CD4_TCELL_VS_48H_ACT_TH2_UP","SYSTEMATIC_NAME":"M4528","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1671_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive CD4 [GeneID=920] T cells versus stimulated CD4 [GeneID=920] Th2 cells at 48 h.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_NAIVE_CD4_TCELL_VS_48H_ACT_TH2_DN","SYSTEMATIC_NAME":"M4529","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1671_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive CD4 [GeneID=920] T cells versus stimulated CD4 [GeneID=920] Th2 cells at 48 h.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_UNSTIM_VS_IL2_STIM_NKCELL_UP","SYSTEMATIC_NAME":"M4530","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1672_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of unstimulated NK cells versus those stimulated with IL2 [GeneID=3558] at 16 h.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_UNSTIM_VS_IL2_STIM_NKCELL_DN","SYSTEMATIC_NAME":"M4531","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1672_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of unstimulated NK cells versus those stimulated with IL2 [GeneID=3558] at 16 h.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_UNSTIM_VS_IL15_STIM_NKCELL_UP","SYSTEMATIC_NAME":"M4532","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1673_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of unstimulated NK cells versus those stimulated with IL15 [GeneID=3600] at 16 h.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE22886_UNSTIM_VS_IL15_STIM_NKCELL_DN","SYSTEMATIC_NAME":"M4533","ORGANISM":"Homo sapiens","PMID":"15789058","AUTHORS":"Abbas AR,Baldwin D,Ma Y,Ouyang W,Gurney A,Martin F,Fong S,van Lookeren Campagne M,Godowski P,Williams PM,Chan AC,Clark HF.","GEOID":"GSE22886","EXACT_SOURCE":"GSE22886_1673_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of unstimulated NK cells versus those stimulated with IL2 [GeneID=3600] at 16 h.","DESCRIPTION_FULL":"Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. In order to identify such patterns, we set out to broadly profile gene expression in a variety of immune cells."}
{"STANDARD_NAME":"GSE24026_PD1_LIGATION_VS_CTRL_IN_ACT_TCELL_LINE_UP","SYSTEMATIC_NAME":"M4534","ORGANISM":"Homo sapiens","PMID":"20890291","AUTHORS":"Quigley M,Pereyra F,Nilsson B,Porichis F,Fonseca C,Eichbaum Q,Julg B,Jesneck JL,Brosnahan K,Imam S,Russell K,Toth I,Piechocka-Trocha A,Dolfi D,Angelosanto J,Crawford A,Shin H,Kwon DS,Zupkosky J,Francisco L,Freeman GJ,Wherry EJ,Kaufmann DE,Walker BD,Ebert B,Haining WN.","GEOID":"GSE24026","EXACT_SOURCE":"GSE24026_1553_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of Jurkat T cells stimulated in the presence of PD-1 versus controls.","DESCRIPTION_FULL":"CD8+ T cells in chronic viral infections like HIV develop functional defects such as loss of IL-2 secretion and decreased proliferative potential that are collectively termed exhaustion1. Exhausted T cells express increased levels of multiple inhibitory receptors, such as Programmed Death 1 (PD-1). PD-1 inhibition contributes to impaired virus-specific T cell function in chronic infection because antibody-mediated blockade of its ligand, Programmed Death Ligand 1 (PD-L1) is sufficient to improve T cell function and reduce viral replication in animal models. Reversing PD-1 inhibition is therefore an attractive therapeutic target, but the cellular mechanisms by which PD-1 ligation results in T cell inhibition are not fully understood. PD-1 is thought to limit T cell activation by attenuating T cell receptor (TCR) signaling. It is not known whether PD-1 ligation also acts by upregulating genes in exhausted T cells that impair their function. Here, we analyzed gene-expression profiles from HIV-specific CD8+ T cells in patients with HIV and show that PD-1 coordinately upregulates a program of genes in exhausted CD8+ T cells from humans and mice. This program includes upregulation of basic leucine transcription factor, ATF-like (BATF), a transcription factor in the AP-1 family. Enforced expression of BATF was sufficient to impair T cell proliferation and cytokine secretion, while BATF knockdown reduced PD-1 inhibition. Silencing BATF in CD4+ and CD8+ T cells from chronic viremic patients rescued HIV-specific T cell function. Thus inhibitory receptors can cause T cell exhaustion by upregulating genes – such as BATF – that inhibit T cell function."}
{"STANDARD_NAME":"GSE24026_PD1_LIGATION_VS_CTRL_IN_ACT_TCELL_LINE_DN","SYSTEMATIC_NAME":"M4538","ORGANISM":"Homo sapiens","PMID":"20890291","AUTHORS":"Quigley M,Pereyra F,Nilsson B,Porichis F,Fonseca C,Eichbaum Q,Julg B,Jesneck JL,Brosnahan K,Imam S,Russell K,Toth I,Piechocka-Trocha A,Dolfi D,Angelosanto J,Crawford A,Shin H,Kwon DS,Zupkosky J,Francisco L,Freeman GJ,Wherry EJ,Kaufmann DE,Walker BD,Ebert B,Haining WN.","GEOID":"GSE24026","EXACT_SOURCE":"GSE24026_1553_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of Jurkat T cells stimulated in the presence of PD-1 versus controls.","DESCRIPTION_FULL":"CD8+ T cells in chronic viral infections like HIV develop functional defects such as loss of IL-2 secretion and decreased proliferative potential that are collectively termed exhaustion1. Exhausted T cells express increased levels of multiple inhibitory receptors, such as Programmed Death 1 (PD-1). PD-1 inhibition contributes to impaired virus-specific T cell function in chronic infection because antibody-mediated blockade of its ligand, Programmed Death Ligand 1 (PD-L1) is sufficient to improve T cell function and reduce viral replication in animal models. Reversing PD-1 inhibition is therefore an attractive therapeutic target, but the cellular mechanisms by which PD-1 ligation results in T cell inhibition are not fully understood. PD-1 is thought to limit T cell activation by attenuating T cell receptor (TCR) signaling. It is not known whether PD-1 ligation also acts by upregulating genes in exhausted T cells that impair their function. Here, we analyzed gene-expression profiles from HIV-specific CD8+ T cells in patients with HIV and show that PD-1 coordinately upregulates a program of genes in exhausted CD8+ T cells from humans and mice. This program includes upregulation of basic leucine transcription factor, ATF-like (BATF), a transcription factor in the AP-1 family. Enforced expression of BATF was sufficient to impair T cell proliferation and cytokine secretion, while BATF knockdown reduced PD-1 inhibition. Silencing BATF in CD4+ and CD8+ T cells from chronic viremic patients rescued HIV-specific T cell function. Thus inhibitory receptors can cause T cell exhaustion by upregulating genes – such as BATF – that inhibit T cell function."}
{"STANDARD_NAME":"GSE24081_CONTROLLER_VS_PROGRESSOR_HIV_SPECIFIC_CD8_TCELL_UP","SYSTEMATIC_NAME":"M4539","ORGANISM":"Homo sapiens","PMID":"20890291","AUTHORS":"Quigley M,Pereyra F,Nilsson B,Porichis F,Fonseca C,Eichbaum Q,Julg B,Jesneck JL,Brosnahan K,Imam S,Russell K,Toth I,Piechocka-Trocha A,Dolfi D,Angelosanto J,Crawford A,Shin H,Kwon DS,Zupkosky J,Francisco L,Freeman GJ,Wherry EJ,Kaufmann DE,Walker BD,Ebert B,Haining WN.","GEOID":"GSE24081","EXACT_SOURCE":"GSE24081_1554_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD8 T cells with progressing HIV infection versus those with controlled HIV infection.","DESCRIPTION_FULL":"CD8+ T cells in chronic viral infections like HIV develop functional defects such as loss of IL-2 secretion and decreased proliferative potential that are collectively termed exhaustion1. Exhausted T cells express increased levels of multiple inhibitory receptors, such as Programmed Death 1 (PD-1). PD-1 inhibition contributes to impaired virus-specific T cell function in chronic infection because antibody-mediated blockade of its ligand, Programmed Death Ligand 1 (PD-L1) is sufficient to improve T cell function and reduce viral replication in animal models. Reversing PD-1 inhibition is therefore an attractive therapeutic target, but the cellular mechanisms by which PD-1 ligation results in T cell inhibition are not fully understood. PD-1 is thought to limit T cell activation by attenuating T cell receptor (TCR) signaling. It is not known whether PD-1 ligation also acts by upregulating genes in exhausted T cells that impair their function. Here, we analyzed gene-expression profiles from HIV-specific CD8+ T cells in patients with HIV and show that PD-1 coordinately upregulates a program of genes in exhausted CD8+ T cells from humans and mice. This program includes upregulation of basic leucine transcription factor, ATF-like (BATF), a transcription factor in the AP-1 family. Enforced expression of BATF was sufficient to impair T cell proliferation and cytokine secretion, while BATF knockdown reduced PD-1 inhibition. Silencing BATF in CD4+ and CD8+ T cells from chronic viremic patients rescued HIV-specific T cell function. Thus inhibitory receptors can cause T cell exhaustion by upregulating genes – such as BATF – that inhibit T cell function."}
{"STANDARD_NAME":"GSE24081_CONTROLLER_VS_PROGRESSOR_HIV_SPECIFIC_CD8_TCELL_DN","SYSTEMATIC_NAME":"M4540","ORGANISM":"Homo sapiens","PMID":"20890291","AUTHORS":"Quigley M,Pereyra F,Nilsson B,Porichis F,Fonseca C,Eichbaum Q,Julg B,Jesneck JL,Brosnahan K,Imam S,Russell K,Toth I,Piechocka-Trocha A,Dolfi D,Angelosanto J,Crawford A,Shin H,Kwon DS,Zupkosky J,Francisco L,Freeman GJ,Wherry EJ,Kaufmann DE,Walker BD,Ebert B,Haining WN.","GEOID":"GSE24081","EXACT_SOURCE":"GSE24081_1554_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD8 T cells with progressing HIV infection versus those with controlled HIV infection.","DESCRIPTION_FULL":"CD8+ T cells in chronic viral infections like HIV develop functional defects such as loss of IL-2 secretion and decreased proliferative potential that are collectively termed exhaustion1. Exhausted T cells express increased levels of multiple inhibitory receptors, such as Programmed Death 1 (PD-1). PD-1 inhibition contributes to impaired virus-specific T cell function in chronic infection because antibody-mediated blockade of its ligand, Programmed Death Ligand 1 (PD-L1) is sufficient to improve T cell function and reduce viral replication in animal models. Reversing PD-1 inhibition is therefore an attractive therapeutic target, but the cellular mechanisms by which PD-1 ligation results in T cell inhibition are not fully understood. PD-1 is thought to limit T cell activation by attenuating T cell receptor (TCR) signaling. It is not known whether PD-1 ligation also acts by upregulating genes in exhausted T cells that impair their function. Here, we analyzed gene-expression profiles from HIV-specific CD8+ T cells in patients with HIV and show that PD-1 coordinately upregulates a program of genes in exhausted CD8+ T cells from humans and mice. This program includes upregulation of basic leucine transcription factor, ATF-like (BATF), a transcription factor in the AP-1 family. Enforced expression of BATF was sufficient to impair T cell proliferation and cytokine secretion, while BATF knockdown reduced PD-1 inhibition. Silencing BATF in CD4+ and CD8+ T cells from chronic viremic patients rescued HIV-specific T cell function. Thus inhibitory receptors can cause T cell exhaustion by upregulating genes – such as BATF – that inhibit T cell function."}
{"STANDARD_NAME":"GSE24102_GRANULOCYSTIC_MDSC_VS_NEUTROPHIL_UP","SYSTEMATIC_NAME":"M4541","ORGANISM":"Mus musculus","PMID":"21954284","AUTHORS":"Youn JI,Collazo M,Shalova IN,Biswas SK,Gabrilovich DI.","GEOID":"GSE24102","EXACT_SOURCE":"GSE24102_2127_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of granulocytic myeloid derived suppressor cells (MDSC) versus neutrophils.","DESCRIPTION_FULL":"Myeloid derived suppressor cells (MDSC) playing the immune suppressive roles in tumor bearing host consists of two major subsets of granulocytic and monocytic cells. Granulocytic MDSC (G-MDSC) express CD11b+ Gr-1high Ly6G+ Ly6Clow and produce high level of reactive oxygen species (ROS). Interestingly, neutrophils are well known ROS producing cells during immune defensive process and share same surface markers with G-MDSC. These similar features always brought the fundamental questions what’s the difference between G-MDSC and neutrophils but it’s not yet proven clearly. In this study, we examined the gene expression of G-MDSC and neutrophils using Affymetrix microarray."}
{"STANDARD_NAME":"GSE24102_GRANULOCYSTIC_MDSC_VS_NEUTROPHIL_DN","SYSTEMATIC_NAME":"M4542","ORGANISM":"Mus musculus","PMID":"21954284","AUTHORS":"Youn JI,Collazo M,Shalova IN,Biswas SK,Gabrilovich DI.","GEOID":"GSE24102","EXACT_SOURCE":"GSE24102_2127_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of granulocytic myeloid derived suppressor cells (MDSC) versus neutrophils.","DESCRIPTION_FULL":"Myeloid derived suppressor cells (MDSC) playing the immune suppressive roles in tumor bearing host consists of two major subsets of granulocytic and monocytic cells. Granulocytic MDSC (G-MDSC) express CD11b+ Gr-1high Ly6G+ Ly6Clow and produce high level of reactive oxygen species (ROS). Interestingly, neutrophils are well known ROS producing cells during immune defensive process and share same surface markers with G-MDSC. These similar features always brought the fundamental questions what’s the difference between G-MDSC and neutrophils but it’s not yet proven clearly. In this study, we examined the gene expression of G-MDSC and neutrophils using Affymetrix microarray."}
{"STANDARD_NAME":"GSE24142_EARLY_THYMIC_PROGENITOR_VS_DN2_THYMOCYTE_UP","SYSTEMATIC_NAME":"M4545","ORGANISM":"Mus musculus","PMID":"22581009","AUTHORS":"Belyaev NN,Biró J,Athanasakis D,Fernandez-Reyes D,Potocnik AJ","GEOID":"GSE24142","EXACT_SOURCE":"GSE24142_2148_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of thymic progenitors versus DN2 thymocytes.","DESCRIPTION_FULL":"Development of T-cells provides a unique opportunity to study cell-fate determination due to the accessability and the well defined stages of developmental stages. In order to understand the genetic programs underlying fetal and adult T‑cell fate specification we subjected highly purified fetal and adult T-cell progenitor populations to a genome‑wide transcriptional analysis. The aim was to identify molecular elements that govern T-cell fate specification as a whole but ultimately to isolate elements that were specific for a given population in a specific developmental window."}
{"STANDARD_NAME":"GSE24142_EARLY_THYMIC_PROGENITOR_VS_DN2_THYMOCYTE_DN","SYSTEMATIC_NAME":"M4549","ORGANISM":"Mus musculus","PMID":"22581009","AUTHORS":"Belyaev NN,Biró J,Athanasakis D,Fernandez-Reyes D,Potocnik AJ","GEOID":"GSE24142","EXACT_SOURCE":"GSE24142_2148_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of thymic progenitors versus DN2 thymocytes.","DESCRIPTION_FULL":"Development of T-cells provides a unique opportunity to study cell-fate determination due to the accessability and the well defined stages of developmental stages. In order to understand the genetic programs underlying fetal and adult T‑cell fate specification we subjected highly purified fetal and adult T-cell progenitor populations to a genome‑wide transcriptional analysis. The aim was to identify molecular elements that govern T-cell fate specification as a whole but ultimately to isolate elements that were specific for a given population in a specific developmental window."}
{"STANDARD_NAME":"GSE24142_EARLY_THYMIC_PROGENITOR_VS_DN3_THYMOCYTE_UP","SYSTEMATIC_NAME":"M4553","ORGANISM":"Mus musculus","PMID":"22581009","AUTHORS":"Belyaev NN,Biró J,Athanasakis D,Fernandez-Reyes D,Potocnik AJ","GEOID":"GSE24142","EXACT_SOURCE":"GSE24142_2149_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of thymic progenitors versus DN3 thymocytes.","DESCRIPTION_FULL":"Development of T-cells provides a unique opportunity to study cell-fate determination due to the accessability and the well defined stages of developmental stages. In order to understand the genetic programs underlying fetal and adult T‑cell fate specification we subjected highly purified fetal and adult T-cell progenitor populations to a genome‑wide transcriptional analysis. The aim was to identify molecular elements that govern T-cell fate specification as a whole but ultimately to isolate elements that were specific for a given population in a specific developmental window."}
{"STANDARD_NAME":"GSE24142_EARLY_THYMIC_PROGENITOR_VS_DN3_THYMOCYTE_DN","SYSTEMATIC_NAME":"M4554","ORGANISM":"Mus musculus","PMID":"22581009","AUTHORS":"Belyaev NN,Biró J,Athanasakis D,Fernandez-Reyes D,Potocnik AJ","GEOID":"GSE24142","EXACT_SOURCE":"GSE24142_2149_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of thymic progenitors versus DN3 thymocytes.","DESCRIPTION_FULL":"Development of T-cells provides a unique opportunity to study cell-fate determination due to the accessability and the well defined stages of developmental stages. In order to understand the genetic programs underlying fetal and adult T‑cell fate specification we subjected highly purified fetal and adult T-cell progenitor populations to a genome‑wide transcriptional analysis. The aim was to identify molecular elements that govern T-cell fate specification as a whole but ultimately to isolate elements that were specific for a given population in a specific developmental window."}
{"STANDARD_NAME":"GSE24142_DN2_VS_DN3_THYMOCYTE_UP","SYSTEMATIC_NAME":"M4555","ORGANISM":"Mus musculus","PMID":"22581009","AUTHORS":"Belyaev NN,Biró J,Athanasakis D,Fernandez-Reyes D,Potocnik AJ","GEOID":"GSE24142","EXACT_SOURCE":"GSE24142_2150_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of DN2 thymocytes versus DN3 thymocytes.","DESCRIPTION_FULL":"Development of T-cells provides a unique opportunity to study cell-fate determination due to the accessability and the well defined stages of developmental stages. In order to understand the genetic programs underlying fetal and adult T‑cell fate specification we subjected highly purified fetal and adult T-cell progenitor populations to a genome‑wide transcriptional analysis. The aim was to identify molecular elements that govern T-cell fate specification as a whole but ultimately to isolate elements that were specific for a given population in a specific developmental window."}
{"STANDARD_NAME":"GSE24142_DN2_VS_DN3_THYMOCYTE_DN","SYSTEMATIC_NAME":"M4558","ORGANISM":"Mus musculus","PMID":"22581009","AUTHORS":"Belyaev NN,Biró J,Athanasakis D,Fernandez-Reyes D,Potocnik AJ","GEOID":"GSE24142","EXACT_SOURCE":"GSE24142_2150_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of DN2 thymocytes versus DN3 thymocytes.","DESCRIPTION_FULL":"Development of T-cells provides a unique opportunity to study cell-fate determination due to the accessability and the well defined stages of developmental stages. In order to understand the genetic programs underlying fetal and adult T‑cell fate specification we subjected highly purified fetal and adult T-cell progenitor populations to a genome‑wide transcriptional analysis. The aim was to identify molecular elements that govern T-cell fate specification as a whole but ultimately to isolate elements that were specific for a given population in a specific developmental window."}
{"STANDARD_NAME":"GSE24142_EARLY_THYMIC_PROGENITOR_VS_DN2_THYMOCYTE_ADULT_UP","SYSTEMATIC_NAME":"M4559","ORGANISM":"Mus musculus","PMID":"22581009","AUTHORS":"Belyaev NN,Biró J,Athanasakis D,Fernandez-Reyes D,Potocnik AJ","GEOID":"GSE24142","EXACT_SOURCE":"GSE24142_2151_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of adult thymic progenitors versus adult DN2 thymocytes.","DESCRIPTION_FULL":"Development of T-cells provides a unique opportunity to study cell-fate determination due to the accessability and the well defined stages of developmental stages. In order to understand the genetic programs underlying fetal and adult T‑cell fate specification we subjected highly purified fetal and adult T-cell progenitor populations to a genome‑wide transcriptional analysis. The aim was to identify molecular elements that govern T-cell fate specification as a whole but ultimately to isolate elements that were specific for a given population in a specific developmental window."}
{"STANDARD_NAME":"GSE24142_EARLY_THYMIC_PROGENITOR_VS_DN2_THYMOCYTE_ADULT_DN","SYSTEMATIC_NAME":"M4560","ORGANISM":"Mus musculus","PMID":"22581009","AUTHORS":"Belyaev NN,Biró J,Athanasakis D,Fernandez-Reyes D,Potocnik AJ","GEOID":"GSE24142","EXACT_SOURCE":"GSE24142_2151_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of adult thymic progenitors versus adult DN2 thymocytes.","DESCRIPTION_FULL":"Development of T-cells provides a unique opportunity to study cell-fate determination due to the accessability and the well defined stages of developmental stages. In order to understand the genetic programs underlying fetal and adult T‑cell fate specification we subjected highly purified fetal and adult T-cell progenitor populations to a genome‑wide transcriptional analysis. The aim was to identify molecular elements that govern T-cell fate specification as a whole but ultimately to isolate elements that were specific for a given population in a specific developmental window."}
{"STANDARD_NAME":"GSE24142_EARLY_THYMIC_PROGENITOR_VS_DN3_THYMOCYTE_ADULT_UP","SYSTEMATIC_NAME":"M4561","ORGANISM":"Mus musculus","PMID":"22581009","AUTHORS":"Belyaev NN,Biró J,Athanasakis D,Fernandez-Reyes D,Potocnik AJ","GEOID":"GSE24142","EXACT_SOURCE":"GSE24142_2152_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of adult thymic progenitors versus adult DN3 thymocytes.","DESCRIPTION_FULL":"Development of T-cells provides a unique opportunity to study cell-fate determination due to the accessability and the well defined stages of developmental stages. In order to understand the genetic programs underlying fetal and adult T‑cell fate specification we subjected highly purified fetal and adult T-cell progenitor populations to a genome‑wide transcriptional analysis. The aim was to identify molecular elements that govern T-cell fate specification as a whole but ultimately to isolate elements that were specific for a given population in a specific developmental window."}
{"STANDARD_NAME":"GSE24142_EARLY_THYMIC_PROGENITOR_VS_DN3_THYMOCYTE_ADULT_DN","SYSTEMATIC_NAME":"M4564","ORGANISM":"Mus musculus","PMID":"22581009","AUTHORS":"Belyaev NN,Biró J,Athanasakis D,Fernandez-Reyes D,Potocnik AJ","GEOID":"GSE24142","EXACT_SOURCE":"GSE24142_2152_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of adult thymic progenitors versus adult DN3 thymocytes.","DESCRIPTION_FULL":"Development of T-cells provides a unique opportunity to study cell-fate determination due to the accessability and the well defined stages of developmental stages. In order to understand the genetic programs underlying fetal and adult T‑cell fate specification we subjected highly purified fetal and adult T-cell progenitor populations to a genome‑wide transcriptional analysis. The aim was to identify molecular elements that govern T-cell fate specification as a whole but ultimately to isolate elements that were specific for a given population in a specific developmental window."}
{"STANDARD_NAME":"GSE24142_DN2_VS_DN3_THYMOCYTE_ADULT_UP","SYSTEMATIC_NAME":"M4565","ORGANISM":"Mus musculus","PMID":"22581009","AUTHORS":"Belyaev NN,Biró J,Athanasakis D,Fernandez-Reyes D,Potocnik AJ","GEOID":"GSE24142","EXACT_SOURCE":"GSE24142_2153_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in adult DN2 thymocytes versus adult DN3 thymocytes.","DESCRIPTION_FULL":"Development of T-cells provides a unique opportunity to study cell-fate determination due to the accessability and the well defined stages of developmental stages. In order to understand the genetic programs underlying fetal and adult T‑cell fate specification we subjected highly purified fetal and adult T-cell progenitor populations to a genome‑wide transcriptional analysis. The aim was to identify molecular elements that govern T-cell fate specification as a whole but ultimately to isolate elements that were specific for a given population in a specific developmental window."}
{"STANDARD_NAME":"GSE24142_DN2_VS_DN3_THYMOCYTE_ADULT_DN","SYSTEMATIC_NAME":"M4567","ORGANISM":"Mus musculus","PMID":"22581009","AUTHORS":"Belyaev NN,Biró J,Athanasakis D,Fernandez-Reyes D,Potocnik AJ","GEOID":"GSE24142","EXACT_SOURCE":"GSE24142_2153_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in adult DN2 thymocytes versus adult DN3 thymocytes.","DESCRIPTION_FULL":"Development of T-cells provides a unique opportunity to study cell-fate determination due to the accessability and the well defined stages of developmental stages. In order to understand the genetic programs underlying fetal and adult T‑cell fate specification we subjected highly purified fetal and adult T-cell progenitor populations to a genome‑wide transcriptional analysis. The aim was to identify molecular elements that govern T-cell fate specification as a whole but ultimately to isolate elements that were specific for a given population in a specific developmental window."}
{"STANDARD_NAME":"GSE24142_EARLY_THYMIC_PROGENITOR_VS_DN2_THYMOCYTE_FETAL_UP","SYSTEMATIC_NAME":"M4568","ORGANISM":"Mus musculus","PMID":"22581009","AUTHORS":"Belyaev NN,Biró J,Athanasakis D,Fernandez-Reyes D,Potocnik AJ","GEOID":"GSE24142","EXACT_SOURCE":"GSE24142_2154_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of thymic progenitors versus fetal DN2 thymocytes.","DESCRIPTION_FULL":"Development of T-cells provides a unique opportunity to study cell-fate determination due to the accessability and the well defined stages of developmental stages. In order to understand the genetic programs underlying fetal and adult T‑cell fate specification we subjected highly purified fetal and adult T-cell progenitor populations to a genome‑wide transcriptional analysis. The aim was to identify molecular elements that govern T-cell fate specification as a whole but ultimately to isolate elements that were specific for a given population in a specific developmental window."}
{"STANDARD_NAME":"GSE24142_EARLY_THYMIC_PROGENITOR_VS_DN2_THYMOCYTE_FETAL_DN","SYSTEMATIC_NAME":"M4569","ORGANISM":"Mus musculus","PMID":"22581009","AUTHORS":"Belyaev NN,Biró J,Athanasakis D,Fernandez-Reyes D,Potocnik AJ","GEOID":"GSE24142","EXACT_SOURCE":"GSE24142_2154_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of thymic progenitors versus fetal DN2 thymocytes.","DESCRIPTION_FULL":"Development of T-cells provides a unique opportunity to study cell-fate determination due to the accessability and the well defined stages of developmental stages. In order to understand the genetic programs underlying fetal and adult T‑cell fate specification we subjected highly purified fetal and adult T-cell progenitor populations to a genome‑wide transcriptional analysis. The aim was to identify molecular elements that govern T-cell fate specification as a whole but ultimately to isolate elements that were specific for a given population in a specific developmental window."}
{"STANDARD_NAME":"GSE24142_EARLY_THYMIC_PROGENITOR_VS_DN3_THYMOCYTE_FETAL_UP","SYSTEMATIC_NAME":"M4570","ORGANISM":"Mus musculus","PMID":"22581009","AUTHORS":"Belyaev NN,Biró J,Athanasakis D,Fernandez-Reyes D,Potocnik AJ","GEOID":"GSE24142","EXACT_SOURCE":"GSE24142_2155_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of thymic progenitors versus fetal DN3 thymocytes.","DESCRIPTION_FULL":"Development of T-cells provides a unique opportunity to study cell-fate determination due to the accessability and the well defined stages of developmental stages. In order to understand the genetic programs underlying fetal and adult T‑cell fate specification we subjected highly purified fetal and adult T-cell progenitor populations to a genome‑wide transcriptional analysis. The aim was to identify molecular elements that govern T-cell fate specification as a whole but ultimately to isolate elements that were specific for a given population in a specific developmental window."}
{"STANDARD_NAME":"GSE24142_EARLY_THYMIC_PROGENITOR_VS_DN3_THYMOCYTE_FETAL_DN","SYSTEMATIC_NAME":"M4571","ORGANISM":"Mus musculus","PMID":"22581009","AUTHORS":"Belyaev NN,Biró J,Athanasakis D,Fernandez-Reyes D,Potocnik AJ","GEOID":"GSE24142","EXACT_SOURCE":"GSE24142_2155_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of thymic progenitors versus fetal DN3 thymocytes.","DESCRIPTION_FULL":"Development of T-cells provides a unique opportunity to study cell-fate determination due to the accessability and the well defined stages of developmental stages. In order to understand the genetic programs underlying fetal and adult T‑cell fate specification we subjected highly purified fetal and adult T-cell progenitor populations to a genome‑wide transcriptional analysis. The aim was to identify molecular elements that govern T-cell fate specification as a whole but ultimately to isolate elements that were specific for a given population in a specific developmental window."}
{"STANDARD_NAME":"GSE24142_DN2_VS_DN3_THYMOCYTE_FETAL_UP","SYSTEMATIC_NAME":"M4574","ORGANISM":"Mus musculus","PMID":"22581009","AUTHORS":"Belyaev NN,Biró J,Athanasakis D,Fernandez-Reyes D,Potocnik AJ","GEOID":"GSE24142","EXACT_SOURCE":"GSE24142_2156_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of fetal DN2 thymocytes versus fetal DN3 thymocytes.","DESCRIPTION_FULL":"Development of T-cells provides a unique opportunity to study cell-fate determination due to the accessability and the well defined stages of developmental stages. In order to understand the genetic programs underlying fetal and adult T‑cell fate specification we subjected highly purified fetal and adult T-cell progenitor populations to a genome‑wide transcriptional analysis. The aim was to identify molecular elements that govern T-cell fate specification as a whole but ultimately to isolate elements that were specific for a given population in a specific developmental window."}
{"STANDARD_NAME":"GSE24142_DN2_VS_DN3_THYMOCYTE_FETAL_DN","SYSTEMATIC_NAME":"M4575","ORGANISM":"Mus musculus","PMID":"22581009","AUTHORS":"Belyaev NN,Biró J,Athanasakis D,Fernandez-Reyes D,Potocnik AJ","GEOID":"GSE24142","EXACT_SOURCE":"GSE24142_2156_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of fetal DN2 thymocytes versus fetal DN3 thymocytes.","DESCRIPTION_FULL":"Development of T-cells provides a unique opportunity to study cell-fate determination due to the accessability and the well defined stages of developmental stages. In order to understand the genetic programs underlying fetal and adult T‑cell fate specification we subjected highly purified fetal and adult T-cell progenitor populations to a genome‑wide transcriptional analysis. The aim was to identify molecular elements that govern T-cell fate specification as a whole but ultimately to isolate elements that were specific for a given population in a specific developmental window."}
{"STANDARD_NAME":"GSE24142_ADULT_VS_FETAL_EARLY_THYMIC_PROGENITOR_UP","SYSTEMATIC_NAME":"M4576","ORGANISM":"Mus musculus","PMID":"22581009","AUTHORS":"Belyaev NN,Biró J,Athanasakis D,Fernandez-Reyes D,Potocnik AJ","GEOID":"GSE24142","EXACT_SOURCE":"GSE24142_2157_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of adult thymic progenitors versus fetal thymic progenitors.","DESCRIPTION_FULL":"Development of T-cells provides a unique opportunity to study cell-fate determination due to the accessability and the well defined stages of developmental stages. In order to understand the genetic programs underlying fetal and adult T‑cell fate specification we subjected highly purified fetal and adult T-cell progenitor populations to a genome‑wide transcriptional analysis. The aim was to identify molecular elements that govern T-cell fate specification as a whole but ultimately to isolate elements that were specific for a given population in a specific developmental window."}
{"STANDARD_NAME":"GSE24142_ADULT_VS_FETAL_EARLY_THYMIC_PROGENITOR_DN","SYSTEMATIC_NAME":"M4578","ORGANISM":"Mus musculus","PMID":"22581009","AUTHORS":"Belyaev NN,Biró J,Athanasakis D,Fernandez-Reyes D,Potocnik AJ","GEOID":"GSE24142","EXACT_SOURCE":"GSE24142_2157_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of adult thymic progenitors versus fetal thymic progenitors.","DESCRIPTION_FULL":"Development of T-cells provides a unique opportunity to study cell-fate determination due to the accessability and the well defined stages of developmental stages. In order to understand the genetic programs underlying fetal and adult T‑cell fate specification we subjected highly purified fetal and adult T-cell progenitor populations to a genome‑wide transcriptional analysis. The aim was to identify molecular elements that govern T-cell fate specification as a whole but ultimately to isolate elements that were specific for a given population in a specific developmental window."}
{"STANDARD_NAME":"GSE24142_ADULT_VS_FETAL_DN2_THYMOCYTE_UP","SYSTEMATIC_NAME":"M4579","ORGANISM":"Mus musculus","PMID":"22581009","AUTHORS":"Belyaev NN,Biró J,Athanasakis D,Fernandez-Reyes D,Potocnik AJ","GEOID":"GSE24142","EXACT_SOURCE":"GSE24142_2158_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of adult DN2 thymocytes versus fetal DN2 thymocytes.","DESCRIPTION_FULL":"Development of T-cells provides a unique opportunity to study cell-fate determination due to the accessability and the well defined stages of developmental stages. In order to understand the genetic programs underlying fetal and adult T‑cell fate specification we subjected highly purified fetal and adult T-cell progenitor populations to a genome‑wide transcriptional analysis. The aim was to identify molecular elements that govern T-cell fate specification as a whole but ultimately to isolate elements that were specific for a given population in a specific developmental window."}
{"STANDARD_NAME":"GSE24142_ADULT_VS_FETAL_DN2_THYMOCYTE_DN","SYSTEMATIC_NAME":"M4583","ORGANISM":"Mus musculus","PMID":"22581009","AUTHORS":"Belyaev NN,Biró J,Athanasakis D,Fernandez-Reyes D,Potocnik AJ","GEOID":"GSE24142","EXACT_SOURCE":"GSE24142_2158_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of adult DN2 thymocytes versus fetal DN2 thymocytes.","DESCRIPTION_FULL":"Development of T-cells provides a unique opportunity to study cell-fate determination due to the accessability and the well defined stages of developmental stages. In order to understand the genetic programs underlying fetal and adult T‑cell fate specification we subjected highly purified fetal and adult T-cell progenitor populations to a genome‑wide transcriptional analysis. The aim was to identify molecular elements that govern T-cell fate specification as a whole but ultimately to isolate elements that were specific for a given population in a specific developmental window."}
{"STANDARD_NAME":"GSE24142_ADULT_VS_FETAL_DN3_THYMOCYTE_UP","SYSTEMATIC_NAME":"M4584","ORGANISM":"Mus musculus","PMID":"22581009","AUTHORS":"Belyaev NN,Biró J,Athanasakis D,Fernandez-Reyes D,Potocnik AJ","GEOID":"GSE24142","EXACT_SOURCE":"GSE24142_2159_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of adult DN3 thymocytes versus fetal DN3 thymocytes.","DESCRIPTION_FULL":"Development of T-cells provides a unique opportunity to study cell-fate determination due to the accessability and the well defined stages of developmental stages. In order to understand the genetic programs underlying fetal and adult T‑cell fate specification we subjected highly purified fetal and adult T-cell progenitor populations to a genome‑wide transcriptional analysis. The aim was to identify molecular elements that govern T-cell fate specification as a whole but ultimately to isolate elements that were specific for a given population in a specific developmental window."}
{"STANDARD_NAME":"GSE24142_ADULT_VS_FETAL_DN3_THYMOCYTE_DN","SYSTEMATIC_NAME":"M4585","ORGANISM":"Mus musculus","PMID":"22581009","AUTHORS":"Belyaev NN,Biró J,Athanasakis D,Fernandez-Reyes D,Potocnik AJ","GEOID":"GSE24142","EXACT_SOURCE":"GSE24142_2159_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of adult DN3 thymocytes versus fetal DN3 thymocytes.","DESCRIPTION_FULL":"Development of T-cells provides a unique opportunity to study cell-fate determination due to the accessability and the well defined stages of developmental stages. In order to understand the genetic programs underlying fetal and adult T‑cell fate specification we subjected highly purified fetal and adult T-cell progenitor populations to a genome‑wide transcriptional analysis. The aim was to identify molecular elements that govern T-cell fate specification as a whole but ultimately to isolate elements that were specific for a given population in a specific developmental window."}
{"STANDARD_NAME":"GSE24634_NAIVE_CD4_TCELL_VS_DAY3_IL4_CONV_TREG_UP","SYSTEMATIC_NAME":"M4586","ORGANISM":"Homo sapiens","PMID":"21347372","AUTHORS":"Prots I,Skapenko A,Lipsky PE,Schulze-Koops H.","GEOID":"GSE24634","EXACT_SOURCE":"GSE24634_1437_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive T cells at day 0 versus CD25+ regulatory T cell (Treg) treated with IL4 [GeneID=3565] at day 3.","DESCRIPTION_FULL":"CD25+ regulatory T cells develop in the thymus (nTregs), but may also be generated in the periphery upon stimulation of naive CD4 T cells under appropriate conditions (iTregs). The mechanisms that regulate the generation of peripheral iTregs are largely unknown. We used microarrays to gain insights into the molecular program of extrathymic Treg development."}
{"STANDARD_NAME":"GSE24634_NAIVE_CD4_TCELL_VS_DAY3_IL4_CONV_TREG_DN","SYSTEMATIC_NAME":"M4587","ORGANISM":"Homo sapiens","PMID":"21347372","AUTHORS":"Prots I,Skapenko A,Lipsky PE,Schulze-Koops H.","GEOID":"GSE24634","EXACT_SOURCE":"GSE24634_1437_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive T cells at day 0 versus CD25+ regulatory T cell (Treg) treated with IL4 [GeneID=3565] at day 3.","DESCRIPTION_FULL":"CD25+ regulatory T cells develop in the thymus (nTregs), but may also be generated in the periphery upon stimulation of naive CD4 T cells under appropriate conditions (iTregs). The mechanisms that regulate the generation of peripheral iTregs are largely unknown. We used microarrays to gain insights into the molecular program of extrathymic Treg development."}
{"STANDARD_NAME":"GSE24634_NAIVE_CD4_TCELL_VS_DAY5_IL4_CONV_TREG_UP","SYSTEMATIC_NAME":"M4588","ORGANISM":"Homo sapiens","PMID":"21347372","AUTHORS":"Prots I,Skapenko A,Lipsky PE,Schulze-Koops H.","GEOID":"GSE24634","EXACT_SOURCE":"GSE24634_1438_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive T cells at day 0 versus CD25+ regulatory T cell (Treg) treated with IL4 [GeneID=3565] at day 5.","DESCRIPTION_FULL":"CD25+ regulatory T cells develop in the thymus (nTregs), but may also be generated in the periphery upon stimulation of naive CD4 T cells under appropriate conditions (iTregs). The mechanisms that regulate the generation of peripheral iTregs are largely unknown. We used microarrays to gain insights into the molecular program of extrathymic Treg development."}
{"STANDARD_NAME":"GSE24634_NAIVE_CD4_TCELL_VS_DAY5_IL4_CONV_TREG_DN","SYSTEMATIC_NAME":"M4589","ORGANISM":"Homo sapiens","PMID":"21347372","AUTHORS":"Prots I,Skapenko A,Lipsky PE,Schulze-Koops H.","GEOID":"GSE24634","EXACT_SOURCE":"GSE24634_1438_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive T cells at day 0 versus CD25+ regulatory T cell (Treg) treated with IL4 [GeneID=3565] at day 5.","DESCRIPTION_FULL":"CD25+ regulatory T cells develop in the thymus (nTregs), but may also be generated in the periphery upon stimulation of naive CD4 T cells under appropriate conditions (iTregs). The mechanisms that regulate the generation of peripheral iTregs are largely unknown. We used microarrays to gain insights into the molecular program of extrathymic Treg development."}
{"STANDARD_NAME":"GSE24634_NAIVE_CD4_TCELL_VS_DAY7_IL4_CONV_TREG_UP","SYSTEMATIC_NAME":"M4590","ORGANISM":"Homo sapiens","PMID":"21347372","AUTHORS":"Prots I,Skapenko A,Lipsky PE,Schulze-Koops H.","GEOID":"GSE24634","EXACT_SOURCE":"GSE24634_1439_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive T cells at day 0 versus CD25+ regulatory T cell (Treg) treated with IL4 [GeneID=3565] at day 7.","DESCRIPTION_FULL":"CD25+ regulatory T cells develop in the thymus (nTregs), but may also be generated in the periphery upon stimulation of naive CD4 T cells under appropriate conditions (iTregs). The mechanisms that regulate the generation of peripheral iTregs are largely unknown. We used microarrays to gain insights into the molecular program of extrathymic Treg development."}
{"STANDARD_NAME":"GSE24634_NAIVE_CD4_TCELL_VS_DAY7_IL4_CONV_TREG_DN","SYSTEMATIC_NAME":"M4593","ORGANISM":"Homo sapiens","PMID":"21347372","AUTHORS":"Prots I,Skapenko A,Lipsky PE,Schulze-Koops H.","GEOID":"GSE24634","EXACT_SOURCE":"GSE24634_1439_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive T cells at day 0 versus CD25+ regulatory T cell (Treg) treated with IL4 [GeneID=3565] at day 7.","DESCRIPTION_FULL":"CD25+ regulatory T cells develop in the thymus (nTregs), but may also be generated in the periphery upon stimulation of naive CD4 T cells under appropriate conditions (iTregs). The mechanisms that regulate the generation of peripheral iTregs are largely unknown. We used microarrays to gain insights into the molecular program of extrathymic Treg development."}
{"STANDARD_NAME":"GSE24634_NAIVE_CD4_TCELL_VS_DAY10_IL4_CONV_TREG_UP","SYSTEMATIC_NAME":"M4596","ORGANISM":"Homo sapiens","PMID":"21347372","AUTHORS":"Prots I,Skapenko A,Lipsky PE,Schulze-Koops H.","GEOID":"GSE24634","EXACT_SOURCE":"GSE24634_1440_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive T cells at day 0 versus CD25+ regulatory T cell (Treg) treated with IL4 [GeneID=3565] at day 10.","DESCRIPTION_FULL":"CD25+ regulatory T cells develop in the thymus (nTregs), but may also be generated in the periphery upon stimulation of naive CD4 T cells under appropriate conditions (iTregs). The mechanisms that regulate the generation of peripheral iTregs are largely unknown. We used microarrays to gain insights into the molecular program of extrathymic Treg development."}
{"STANDARD_NAME":"GSE24634_NAIVE_CD4_TCELL_VS_DAY10_IL4_CONV_TREG_DN","SYSTEMATIC_NAME":"M4597","ORGANISM":"Homo sapiens","PMID":"21347372","AUTHORS":"Prots I,Skapenko A,Lipsky PE,Schulze-Koops H.","GEOID":"GSE24634","EXACT_SOURCE":"GSE24634_1440_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive T cells at day 0 versus CD25+ regulatory T cell (Treg) treated with IL4 [GeneID=3565] at day 10.","DESCRIPTION_FULL":"CD25+ regulatory T cells develop in the thymus (nTregs), but may also be generated in the periphery upon stimulation of naive CD4 T cells under appropriate conditions (iTregs). The mechanisms that regulate the generation of peripheral iTregs are largely unknown. We used microarrays to gain insights into the molecular program of extrathymic Treg development."}
{"STANDARD_NAME":"GSE24634_TREG_VS_TCONV_POST_DAY3_IL4_CONVERSION_UP","SYSTEMATIC_NAME":"M4599","ORGANISM":"Homo sapiens","PMID":"21347372","AUTHORS":"Prots I,Skapenko A,Lipsky PE,Schulze-Koops H.","GEOID":"GSE24634","EXACT_SOURCE":"GSE24634_1445_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD25+ regulatory T cell (Treg) treated with IL4 [GeneID=3565] at day 3 versus CD25- T cells incubated with IL4 [GeneID=3565] at day 3.","DESCRIPTION_FULL":"CD25+ regulatory T cells develop in the thymus (nTregs), but may also be generated in the periphery upon stimulation of naive CD4 T cells under appropriate conditions (iTregs). The mechanisms that regulate the generation of peripheral iTregs are largely unknown. We used microarrays to gain insights into the molecular program of extrathymic Treg development."}
{"STANDARD_NAME":"GSE24634_TREG_VS_TCONV_POST_DAY3_IL4_CONVERSION_DN","SYSTEMATIC_NAME":"M4600","ORGANISM":"Homo sapiens","PMID":"21347372","AUTHORS":"Prots I,Skapenko A,Lipsky PE,Schulze-Koops H.","GEOID":"GSE24634","EXACT_SOURCE":"GSE24634_1445_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD25+ regulatory T cell (Treg) treated with IL4 [GeneID=3565] at day 3 versus CD25- T cells incubated with IL4 [GeneID=3565] at day 3.","DESCRIPTION_FULL":"CD25+ regulatory T cells develop in the thymus (nTregs), but may also be generated in the periphery upon stimulation of naive CD4 T cells under appropriate conditions (iTregs). The mechanisms that regulate the generation of peripheral iTregs are largely unknown. We used microarrays to gain insights into the molecular program of extrathymic Treg development."}
{"STANDARD_NAME":"GSE24634_TREG_VS_TCONV_POST_DAY5_IL4_CONVERSION_UP","SYSTEMATIC_NAME":"M4601","ORGANISM":"Homo sapiens","PMID":"21347372","AUTHORS":"Prots I,Skapenko A,Lipsky PE,Schulze-Koops H.","GEOID":"GSE24634","EXACT_SOURCE":"GSE24634_1446_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD25+ T cells treated with IL4 [GeneID=3565] versus CD25- T cells treated with IL4 [GeneID=3565] at day 5.","DESCRIPTION_FULL":"CD25+ regulatory T cells develop in the thymus (nTregs), but may also be generated in the periphery upon stimulation of naive CD4 T cells under appropriate conditions (iTregs). The mechanisms that regulate the generation of peripheral iTregs are largely unknown. We used microarrays to gain insights into the molecular program of extrathymic Treg development."}
{"STANDARD_NAME":"GSE24634_TREG_VS_TCONV_POST_DAY5_IL4_CONVERSION_DN","SYSTEMATIC_NAME":"M4603","ORGANISM":"Homo sapiens","PMID":"21347372","AUTHORS":"Prots I,Skapenko A,Lipsky PE,Schulze-Koops H.","GEOID":"GSE24634","EXACT_SOURCE":"GSE24634_1446_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD25+ T cells treated with IL4 [GeneID=3565] versus CD25- T cells treated with IL4 [GeneID=3565] at day 5.","DESCRIPTION_FULL":"CD25+ regulatory T cells develop in the thymus (nTregs), but may also be generated in the periphery upon stimulation of naive CD4 T cells under appropriate conditions (iTregs). The mechanisms that regulate the generation of peripheral iTregs are largely unknown. We used microarrays to gain insights into the molecular program of extrathymic Treg development."}
{"STANDARD_NAME":"GSE24634_TREG_VS_TCONV_POST_DAY7_IL4_CONVERSION_UP","SYSTEMATIC_NAME":"M4604","ORGANISM":"Homo sapiens","PMID":"21347372","AUTHORS":"Prots I,Skapenko A,Lipsky PE,Schulze-Koops H.","GEOID":"GSE24634","EXACT_SOURCE":"GSE24634_1447_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD25+ regulatory T cell (Treg) treated with IL4 [GeneID=3565] at day 7 versus CD25- T cells treated with IL4 [GeneID=3565] at day 7.","DESCRIPTION_FULL":"CD25+ regulatory T cells develop in the thymus (nTregs), but may also be generated in the periphery upon stimulation of naive CD4 T cells under appropriate conditions (iTregs). The mechanisms that regulate the generation of peripheral iTregs are largely unknown. We used microarrays to gain insights into the molecular program of extrathymic Treg development."}
{"STANDARD_NAME":"GSE24634_TREG_VS_TCONV_POST_DAY7_IL4_CONVERSION_DN","SYSTEMATIC_NAME":"M4606","ORGANISM":"Homo sapiens","PMID":"21347372","AUTHORS":"Prots I,Skapenko A,Lipsky PE,Schulze-Koops H.","GEOID":"GSE24634","EXACT_SOURCE":"GSE24634_1447_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD25+ regulatory T cell (Treg) treated with IL4 [GeneID=3565] at day 7 versus CD25- T cells treated with IL4 [GeneID=3565] at day 7.","DESCRIPTION_FULL":"CD25+ regulatory T cells develop in the thymus (nTregs), but may also be generated in the periphery upon stimulation of naive CD4 T cells under appropriate conditions (iTregs). The mechanisms that regulate the generation of peripheral iTregs are largely unknown. We used microarrays to gain insights into the molecular program of extrathymic Treg development."}
{"STANDARD_NAME":"GSE24634_TREG_VS_TCONV_POST_DAY10_IL4_CONVERSION_UP","SYSTEMATIC_NAME":"M4607","ORGANISM":"Homo sapiens","PMID":"21347372","AUTHORS":"Prots I,Skapenko A,Lipsky PE,Schulze-Koops H.","GEOID":"GSE24634","EXACT_SOURCE":"GSE24634_1448_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD25+ regulatory T cell (Treg) treated with IL4 [GeneID=3565] at day 10 versus CD25- T cells treated with IL4 [GeneID=3565] at 10 h.","DESCRIPTION_FULL":"CD25+ regulatory T cells develop in the thymus (nTregs), but may also be generated in the periphery upon stimulation of naive CD4 T cells under appropriate conditions (iTregs). The mechanisms that regulate the generation of peripheral iTregs are largely unknown. We used microarrays to gain insights into the molecular program of extrathymic Treg development."}
{"STANDARD_NAME":"GSE24634_TREG_VS_TCONV_POST_DAY10_IL4_CONVERSION_DN","SYSTEMATIC_NAME":"M4612","ORGANISM":"Homo sapiens","PMID":"21347372","AUTHORS":"Prots I,Skapenko A,Lipsky PE,Schulze-Koops H.","GEOID":"GSE24634","EXACT_SOURCE":"GSE24634_1448_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD25+ regulatory T cell (Treg) treated with IL4 [GeneID=3565] at day 10 versus CD25- T cells treated with IL4 [GeneID=3565] at 10 h.","DESCRIPTION_FULL":"CD25+ regulatory T cells develop in the thymus (nTregs), but may also be generated in the periphery upon stimulation of naive CD4 T cells under appropriate conditions (iTregs). The mechanisms that regulate the generation of peripheral iTregs are largely unknown. We used microarrays to gain insights into the molecular program of extrathymic Treg development."}
{"STANDARD_NAME":"GSE24634_TEFF_VS_TCONV_DAY3_IN_CULTURE_UP","SYSTEMATIC_NAME":"M4613","ORGANISM":"Homo sapiens","PMID":"21347372","AUTHORS":"Prots I,Skapenko A,Lipsky PE,Schulze-Koops H.","GEOID":"GSE24634","EXACT_SOURCE":"GSE24634_1449_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD25+ T effector cells treated with IL4 [GeneID=3565] at day 3 versus untreated CD25- T cells at day 3.","DESCRIPTION_FULL":"CD25+ regulatory T cells develop in the thymus (nTregs), but may also be generated in the periphery upon stimulation of naive CD4 T cells under appropriate conditions (iTregs). The mechanisms that regulate the generation of peripheral iTregs are largely unknown. We used microarrays to gain insights into the molecular program of extrathymic Treg development."}
{"STANDARD_NAME":"GSE24634_TEFF_VS_TCONV_DAY3_IN_CULTURE_DN","SYSTEMATIC_NAME":"M4616","ORGANISM":"Homo sapiens","PMID":"21347372","AUTHORS":"Prots I,Skapenko A,Lipsky PE,Schulze-Koops H.","GEOID":"GSE24634","EXACT_SOURCE":"GSE24634_1449_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD25+ T effector cells treated with IL4 [GeneID=3565] at day 3 versus untreated CD25- T cells at day 3.","DESCRIPTION_FULL":"CD25+ regulatory T cells develop in the thymus (nTregs), but may also be generated in the periphery upon stimulation of naive CD4 T cells under appropriate conditions (iTregs). The mechanisms that regulate the generation of peripheral iTregs are largely unknown. We used microarrays to gain insights into the molecular program of extrathymic Treg development."}
{"STANDARD_NAME":"GSE24634_TEFF_VS_TCONV_DAY5_IN_CULTURE_UP","SYSTEMATIC_NAME":"M4617","ORGANISM":"Homo sapiens","PMID":"21347372","AUTHORS":"Prots I,Skapenko A,Lipsky PE,Schulze-Koops H.","GEOID":"GSE24634","EXACT_SOURCE":"GSE24634_1450_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated CD25+ T effector cells at day 5 versus untreated CD25- T cells at day 5.","DESCRIPTION_FULL":"CD25+ regulatory T cells develop in the thymus (nTregs), but may also be generated in the periphery upon stimulation of naive CD4 T cells under appropriate conditions (iTregs). The mechanisms that regulate the generation of peripheral iTregs are largely unknown. We used microarrays to gain insights into the molecular program of extrathymic Treg development."}
{"STANDARD_NAME":"GSE24634_TEFF_VS_TCONV_DAY5_IN_CULTURE_DN","SYSTEMATIC_NAME":"M4620","ORGANISM":"Homo sapiens","PMID":"21347372","AUTHORS":"Prots I,Skapenko A,Lipsky PE,Schulze-Koops H.","GEOID":"GSE24634","EXACT_SOURCE":"GSE24634_1450_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated CD25+ T effector cells at day 5 versus untreated CD25- T cells at day 5.","DESCRIPTION_FULL":"CD25+ regulatory T cells develop in the thymus (nTregs), but may also be generated in the periphery upon stimulation of naive CD4 T cells under appropriate conditions (iTregs). The mechanisms that regulate the generation of peripheral iTregs are largely unknown. We used microarrays to gain insights into the molecular program of extrathymic Treg development."}
{"STANDARD_NAME":"GSE24634_TEFF_VS_TCONV_DAY7_IN_CULTURE_UP","SYSTEMATIC_NAME":"M4622","ORGANISM":"Homo sapiens","PMID":"21347372","AUTHORS":"Prots I,Skapenko A,Lipsky PE,Schulze-Koops H.","GEOID":"GSE24634","EXACT_SOURCE":"GSE24634_1451_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated CD25+ T effector cells at day 7 versus untreated CD25- T cells at day 7.","DESCRIPTION_FULL":"CD25+ regulatory T cells develop in the thymus (nTregs), but may also be generated in the periphery upon stimulation of naive CD4 T cells under appropriate conditions (iTregs). The mechanisms that regulate the generation of peripheral iTregs are largely unknown. We used microarrays to gain insights into the molecular program of extrathymic Treg development."}
{"STANDARD_NAME":"GSE24634_TEFF_VS_TCONV_DAY7_IN_CULTURE_DN","SYSTEMATIC_NAME":"M4624","ORGANISM":"Homo sapiens","PMID":"21347372","AUTHORS":"Prots I,Skapenko A,Lipsky PE,Schulze-Koops H.","GEOID":"GSE24634","EXACT_SOURCE":"GSE24634_1451_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated CD25+ T effector cells at day 7 versus untreated CD25- T cells at day 7.","DESCRIPTION_FULL":"CD25+ regulatory T cells develop in the thymus (nTregs), but may also be generated in the periphery upon stimulation of naive CD4 T cells under appropriate conditions (iTregs). The mechanisms that regulate the generation of peripheral iTregs are largely unknown. We used microarrays to gain insights into the molecular program of extrathymic Treg development."}
{"STANDARD_NAME":"GSE24634_TEFF_VS_TCONV_DAY10_IN_CULTURE_UP","SYSTEMATIC_NAME":"M4626","ORGANISM":"Homo sapiens","PMID":"21347372","AUTHORS":"Prots I,Skapenko A,Lipsky PE,Schulze-Koops H.","GEOID":"GSE24634","EXACT_SOURCE":"GSE24634_1452_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated CD25+ T effector cells at day 10 versus untreated CD25- T cells at day 10.","DESCRIPTION_FULL":"CD25+ regulatory T cells develop in the thymus (nTregs), but may also be generated in the periphery upon stimulation of naive CD4 T cells under appropriate conditions (iTregs). The mechanisms that regulate the generation of peripheral iTregs are largely unknown. We used microarrays to gain insights into the molecular program of extrathymic Treg development."}
{"STANDARD_NAME":"GSE24634_TEFF_VS_TCONV_DAY10_IN_CULTURE_DN","SYSTEMATIC_NAME":"M4628","ORGANISM":"Homo sapiens","PMID":"21347372","AUTHORS":"Prots I,Skapenko A,Lipsky PE,Schulze-Koops H.","GEOID":"GSE24634","EXACT_SOURCE":"GSE24634_1452_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated CD25+ T effector cells at day 10 versus untreated CD25- T cells at day 10.","DESCRIPTION_FULL":"CD25+ regulatory T cells develop in the thymus (nTregs), but may also be generated in the periphery upon stimulation of naive CD4 T cells under appropriate conditions (iTregs). The mechanisms that regulate the generation of peripheral iTregs are largely unknown. We used microarrays to gain insights into the molecular program of extrathymic Treg development."}
{"STANDARD_NAME":"GSE24634_IL4_VS_CTRL_TREATED_NAIVE_CD4_TCELL_DAY3_UP","SYSTEMATIC_NAME":"M4630","ORGANISM":"Homo sapiens","PMID":"21347372","AUTHORS":"Prots I,Skapenko A,Lipsky PE,Schulze-Koops H.","GEOID":"GSE24634","EXACT_SOURCE":"GSE24634_1453_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD25- T cells treated with IL4 [GeneID=3565] at day 3 versus untreated CD25- T cells at day 3.","DESCRIPTION_FULL":"CD25+ regulatory T cells develop in the thymus (nTregs), but may also be generated in the periphery upon stimulation of naive CD4 T cells under appropriate conditions (iTregs). The mechanisms that regulate the generation of peripheral iTregs are largely unknown. We used microarrays to gain insights into the molecular program of extrathymic Treg development."}
{"STANDARD_NAME":"GSE24634_IL4_VS_CTRL_TREATED_NAIVE_CD4_TCELL_DAY3_DN","SYSTEMATIC_NAME":"M4632","ORGANISM":"Homo sapiens","PMID":"21347372","AUTHORS":"Prots I,Skapenko A,Lipsky PE,Schulze-Koops H.","GEOID":"GSE24634","EXACT_SOURCE":"GSE24634_1453_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD25- T cells treated with IL4 [GeneID=3565] at day 3 versus untreated CD25- T cells at day 3.","DESCRIPTION_FULL":"CD25+ regulatory T cells develop in the thymus (nTregs), but may also be generated in the periphery upon stimulation of naive CD4 T cells under appropriate conditions (iTregs). The mechanisms that regulate the generation of peripheral iTregs are largely unknown. We used microarrays to gain insights into the molecular program of extrathymic Treg development."}
{"STANDARD_NAME":"GSE24634_IL4_VS_CTRL_TREATED_NAIVE_CD4_TCELL_DAY5_UP","SYSTEMATIC_NAME":"M4633","ORGANISM":"Homo sapiens","PMID":"21347372","AUTHORS":"Prots I,Skapenko A,Lipsky PE,Schulze-Koops H.","GEOID":"GSE24634","EXACT_SOURCE":"GSE24634_1454_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD25- T cells treated with IL4 [GeneID=3565] at day 5 versus untreated CD25- T cells at day 5.","DESCRIPTION_FULL":"CD25+ regulatory T cells develop in the thymus (nTregs), but may also be generated in the periphery upon stimulation of naive CD4 T cells under appropriate conditions (iTregs). The mechanisms that regulate the generation of peripheral iTregs are largely unknown. We used microarrays to gain insights into the molecular program of extrathymic Treg development."}
{"STANDARD_NAME":"GSE24634_IL4_VS_CTRL_TREATED_NAIVE_CD4_TCELL_DAY5_DN","SYSTEMATIC_NAME":"M4635","ORGANISM":"Homo sapiens","PMID":"21347372","AUTHORS":"Prots I,Skapenko A,Lipsky PE,Schulze-Koops H.","GEOID":"GSE24634","EXACT_SOURCE":"GSE24634_1454_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD25- T cells treated with IL4 [GeneID=3565] at day 5 versus untreated CD25- T cells at day 5.","DESCRIPTION_FULL":"CD25+ regulatory T cells develop in the thymus (nTregs), but may also be generated in the periphery upon stimulation of naive CD4 T cells under appropriate conditions (iTregs). The mechanisms that regulate the generation of peripheral iTregs are largely unknown. We used microarrays to gain insights into the molecular program of extrathymic Treg development."}
{"STANDARD_NAME":"GSE24634_IL4_VS_CTRL_TREATED_NAIVE_CD4_TCELL_DAY7_UP","SYSTEMATIC_NAME":"M4636","ORGANISM":"Homo sapiens","PMID":"21347372","AUTHORS":"Prots I,Skapenko A,Lipsky PE,Schulze-Koops H.","GEOID":"GSE24634","EXACT_SOURCE":"GSE24634_1455_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD25- T cells treated with IL4 [GeneID=3565] at day 7 versus untreated CD25- T cells at day 7.","DESCRIPTION_FULL":"CD25+ regulatory T cells develop in the thymus (nTregs), but may also be generated in the periphery upon stimulation of naive CD4 T cells under appropriate conditions (iTregs). The mechanisms that regulate the generation of peripheral iTregs are largely unknown. We used microarrays to gain insights into the molecular program of extrathymic Treg development."}
{"STANDARD_NAME":"GSE24634_IL4_VS_CTRL_TREATED_NAIVE_CD4_TCELL_DAY7_DN","SYSTEMATIC_NAME":"M4638","ORGANISM":"Homo sapiens","PMID":"21347372","AUTHORS":"Prots I,Skapenko A,Lipsky PE,Schulze-Koops H.","GEOID":"GSE24634","EXACT_SOURCE":"GSE24634_1455_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD25- T cells treated with IL4 [GeneID=3565] at day 7 versus untreated CD25- T cells at day 7.","DESCRIPTION_FULL":"CD25+ regulatory T cells develop in the thymus (nTregs), but may also be generated in the periphery upon stimulation of naive CD4 T cells under appropriate conditions (iTregs). The mechanisms that regulate the generation of peripheral iTregs are largely unknown. We used microarrays to gain insights into the molecular program of extrathymic Treg development."}
{"STANDARD_NAME":"GSE24634_IL4_VS_CTRL_TREATED_NAIVE_CD4_TCELL_DAY10_UP","SYSTEMATIC_NAME":"M4639","ORGANISM":"Homo sapiens","PMID":"21347372","AUTHORS":"Prots I,Skapenko A,Lipsky PE,Schulze-Koops H.","GEOID":"GSE24634","EXACT_SOURCE":"GSE24634_1456_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD25- T cells treated with IL4 [GeneID=3565] at day 10 versus untreated CD25- T cells at day 10.","DESCRIPTION_FULL":"CD25+ regulatory T cells develop in the thymus (nTregs), but may also be generated in the periphery upon stimulation of naive CD4 T cells under appropriate conditions (iTregs). The mechanisms that regulate the generation of peripheral iTregs are largely unknown. We used microarrays to gain insights into the molecular program of extrathymic Treg development."}
{"STANDARD_NAME":"GSE24634_IL4_VS_CTRL_TREATED_NAIVE_CD4_TCELL_DAY10_DN","SYSTEMATIC_NAME":"M4640","ORGANISM":"Homo sapiens","PMID":"21347372","AUTHORS":"Prots I,Skapenko A,Lipsky PE,Schulze-Koops H.","GEOID":"GSE24634","EXACT_SOURCE":"GSE24634_1456_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD25- T cells treated with IL4 [GeneID=3565] at day 10 versus untreated CD25- T cells at day 10.","DESCRIPTION_FULL":"CD25+ regulatory T cells develop in the thymus (nTregs), but may also be generated in the periphery upon stimulation of naive CD4 T cells under appropriate conditions (iTregs). The mechanisms that regulate the generation of peripheral iTregs are largely unknown. We used microarrays to gain insights into the molecular program of extrathymic Treg development."}
{"STANDARD_NAME":"GSE25087_FETAL_VS_ADULT_TREG_UP","SYSTEMATIC_NAME":"M4641","ORGANISM":"Homo sapiens","PMID":"21164017","AUTHORS":"Mold JE,Venkatasubrahmanyam S,Burt TD,Michaëlsson J,Rivera JM,Galkina SA,Weinberg K,Stoddart CA,McCune JM","GEOID":"GSE25087","EXACT_SOURCE":"GSE25087_1323_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of fetal regulatory T cell (Treg) versus adult regulatory T cell (Treg).","DESCRIPTION_FULL":"We compared differences in fetal and adult T cells by performing whole genome profiling on sort-purified T cells (naïve CD4+ and Treg cells) from human fetal specimens (18-22 gestational weeks) and adult specimens (age 25-40 years old). Fetal and Adult Naïve CD4+ T cells phenotype: CD3+CD4+CD45RA+CCR7+CD27+, Fetal and Adult CD4+CD25+ Treg phenotype: CD3+CD4+CD25bright"}
{"STANDARD_NAME":"GSE25087_FETAL_VS_ADULT_TREG_DN","SYSTEMATIC_NAME":"M4643","ORGANISM":"Homo sapiens","PMID":"21164017","AUTHORS":"Mold JE,Venkatasubrahmanyam S,Burt TD,Michaëlsson J,Rivera JM,Galkina SA,Weinberg K,Stoddart CA,McCune JM","GEOID":"GSE25087","EXACT_SOURCE":"GSE25087_1323_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of fetal regulatory T cell (Treg) versus adult regulatory T cell (Treg).","DESCRIPTION_FULL":"We compared differences in fetal and adult T cells by performing whole genome profiling on sort-purified T cells (naïve CD4+ and Treg cells) from human fetal specimens (18-22 gestational weeks) and adult specimens (age 25-40 years old). Fetal and Adult Naïve CD4+ T cells phenotype: CD3+CD4+CD45RA+CCR7+CD27+, Fetal and Adult CD4+CD25+ Treg phenotype: CD3+CD4+CD25bright"}
{"STANDARD_NAME":"GSE25087_FETAL_VS_ADULT_TCONV_UP","SYSTEMATIC_NAME":"M4645","ORGANISM":"Homo sapiens","PMID":"21164017","AUTHORS":"Mold JE,Venkatasubrahmanyam S,Burt TD,Michaëlsson J,Rivera JM,Galkina SA,Weinberg K,Stoddart CA,McCune JM","GEOID":"GSE25087","EXACT_SOURCE":"GSE25087_1324_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of fetal conventional T cells versus adult conventional T cells.","DESCRIPTION_FULL":"We compared differences in fetal and adult T cells by performing whole genome profiling on sort-purified T cells (naïve CD4+ and Treg cells) from human fetal specimens (18-22 gestational weeks) and adult specimens (age 25-40 years old). Fetal and Adult Naïve CD4+ T cells phenotype: CD3+CD4+CD45RA+CCR7+CD27+, Fetal and Adult CD4+CD25+ Treg phenotype: CD3+CD4+CD25bright"}
{"STANDARD_NAME":"GSE25087_FETAL_VS_ADULT_TCONV_DN","SYSTEMATIC_NAME":"M4646","ORGANISM":"Homo sapiens","PMID":"21164017","AUTHORS":"Mold JE,Venkatasubrahmanyam S,Burt TD,Michaëlsson J,Rivera JM,Galkina SA,Weinberg K,Stoddart CA,McCune JM","GEOID":"GSE25087","EXACT_SOURCE":"GSE25087_1324_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of fetal conventional T cells versus adult conventional T cells.","DESCRIPTION_FULL":"We compared differences in fetal and adult T cells by performing whole genome profiling on sort-purified T cells (naïve CD4+ and Treg cells) from human fetal specimens (18-22 gestational weeks) and adult specimens (age 25-40 years old). Fetal and Adult Naïve CD4+ T cells phenotype: CD3+CD4+CD45RA+CCR7+CD27+, Fetal and Adult CD4+CD25+ Treg phenotype: CD3+CD4+CD25bright"}
{"STANDARD_NAME":"GSE25087_TREG_VS_TCONV_FETUS_UP","SYSTEMATIC_NAME":"M4647","ORGANISM":"Homo sapiens","PMID":"21164017","AUTHORS":"Mold JE,Venkatasubrahmanyam S,Burt TD,Michaëlsson J,Rivera JM,Galkina SA,Weinberg K,Stoddart CA,McCune JM","GEOID":"GSE25087","EXACT_SOURCE":"GSE25087_1325_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of fetal regulatory T cell (Treg) versus fetal conventional T cells.","DESCRIPTION_FULL":"We compared differences in fetal and adult T cells by performing whole genome profiling on sort-purified T cells (naïve CD4+ and Treg cells) from human fetal specimens (18-22 gestational weeks) and adult specimens (age 25-40 years old). Fetal and Adult Naïve CD4+ T cells phenotype: CD3+CD4+CD45RA+CCR7+CD27+, Fetal and Adult CD4+CD25+ Treg phenotype: CD3+CD4+CD25bright"}
{"STANDARD_NAME":"GSE25087_TREG_VS_TCONV_FETUS_DN","SYSTEMATIC_NAME":"M4649","ORGANISM":"Homo sapiens","PMID":"21164017","AUTHORS":"Mold JE,Venkatasubrahmanyam S,Burt TD,Michaëlsson J,Rivera JM,Galkina SA,Weinberg K,Stoddart CA,McCune JM","GEOID":"GSE25087","EXACT_SOURCE":"GSE25087_1325_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of fetal regulatory T cell (Treg) versus fetal conventional T cells.","DESCRIPTION_FULL":"We compared differences in fetal and adult T cells by performing whole genome profiling on sort-purified T cells (naïve CD4+ and Treg cells) from human fetal specimens (18-22 gestational weeks) and adult specimens (age 25-40 years old). Fetal and Adult Naïve CD4+ T cells phenotype: CD3+CD4+CD45RA+CCR7+CD27+, Fetal and Adult CD4+CD25+ Treg phenotype: CD3+CD4+CD25bright"}
{"STANDARD_NAME":"GSE25087_TREG_VS_TCONV_ADULT_UP","SYSTEMATIC_NAME":"M4650","ORGANISM":"Homo sapiens","PMID":"21164017","AUTHORS":"Mold JE,Venkatasubrahmanyam S,Burt TD,Michaëlsson J,Rivera JM,Galkina SA,Weinberg K,Stoddart CA,McCune JM","GEOID":"GSE25087","EXACT_SOURCE":"GSE25087_1326_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of adult regulatory T cell (Treg) versus adult conventional T cells.","DESCRIPTION_FULL":"We compared differences in fetal and adult T cells by performing whole genome profiling on sort-purified T cells (naïve CD4+ and Treg cells) from human fetal specimens (18-22 gestational weeks) and adult specimens (age 25-40 years old). Fetal and Adult Naïve CD4+ T cells phenotype: CD3+CD4+CD45RA+CCR7+CD27+, Fetal and Adult CD4+CD25+ Treg phenotype: CD3+CD4+CD25bright"}
{"STANDARD_NAME":"GSE25087_TREG_VS_TCONV_ADULT_DN","SYSTEMATIC_NAME":"M4652","ORGANISM":"Homo sapiens","PMID":"21164017","AUTHORS":"Mold JE,Venkatasubrahmanyam S,Burt TD,Michaëlsson J,Rivera JM,Galkina SA,Weinberg K,Stoddart CA,McCune JM","GEOID":"GSE25087","EXACT_SOURCE":"GSE25087_1326_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of adult regulatory T cell (Treg) versus adult conventional T cells.","DESCRIPTION_FULL":"We compared differences in fetal and adult T cells by performing whole genome profiling on sort-purified T cells (naïve CD4+ and Treg cells) from human fetal specimens (18-22 gestational weeks) and adult specimens (age 25-40 years old). Fetal and Adult Naïve CD4+ T cells phenotype: CD3+CD4+CD45RA+CCR7+CD27+, Fetal and Adult CD4+CD25+ Treg phenotype: CD3+CD4+CD25bright"}
{"STANDARD_NAME":"GSE26495_NAIVE_VS_PD1HIGH_CD8_TCELL_UP","SYSTEMATIC_NAME":"M4654","ORGANISM":"Homo sapiens","PMID":"21383243","AUTHORS":"Duraiswamy J,Ibegbu CC,Masopust D,Miller JD,Araki K,Doho GH,Tata P,Gupta S,Zilliox MJ,Nakaya HI,Pulendran B,Haining WN,Freeman GJ,Ahmed R.","GEOID":"GSE26495","EXACT_SOURCE":"GSE26495_1502_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive CD8 T cells versus PD-1 high CD8 T cells.","DESCRIPTION_FULL":"T cell dysfunction is an important feature of many chronic viral infections. In particular, it was shown that PD-1 regulates T cell dysfunction during chronic LCMV infection in mice and PD-1 high cells exhibit an intense exhausted gene signature. These findings were extended to human chronic infections such as HIV, HCV and HBV. However, it is not known if PD-1 high cells of healthy humans have the traits of exhausted cells. In this study, we provide a comprehensive description of phenotype, function and gene expression profiles of PD-1 high versus PD-1 low CD8 T cells in the peripheral blood of healthy human adults as following: 1) The percentage of naive and memory CD8 T cells varied widely in the peripheral blood cells of healthy humans and PD-1 was expressed by the memory CD8 T cells. 2) PD-1 high CD8 T cells in healthy humans did not significantly correlated with the PD-1 high exhausted gene signature of HIV specific human CD8 T cells or chronic LCMV specific CD8 T cells from mice. 3) PD-1 expression did not directly affect the ability of CD8 T cells to secrete cytokines in healthy adults. 4) PD-1 was expressed by the effector memory (TEM) compared to ‘terminally differentiated effector’ (TEMRA) CD8 T cells. 5) Finally, an interesting inverse relationship between CD45RA and PD-1 expression was observed."}
{"STANDARD_NAME":"GSE26495_NAIVE_VS_PD1HIGH_CD8_TCELL_DN","SYSTEMATIC_NAME":"M4656","ORGANISM":"Homo sapiens","PMID":"21383243","AUTHORS":"Duraiswamy J,Ibegbu CC,Masopust D,Miller JD,Araki K,Doho GH,Tata P,Gupta S,Zilliox MJ,Nakaya HI,Pulendran B,Haining WN,Freeman GJ,Ahmed R.","GEOID":"GSE26495","EXACT_SOURCE":"GSE26495_1502_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive CD8 T cells versus PD-1 high CD8 T cells.","DESCRIPTION_FULL":"T cell dysfunction is an important feature of many chronic viral infections. In particular, it was shown that PD-1 regulates T cell dysfunction during chronic LCMV infection in mice and PD-1 high cells exhibit an intense exhausted gene signature. These findings were extended to human chronic infections such as HIV, HCV and HBV. However, it is not known if PD-1 high cells of healthy humans have the traits of exhausted cells. In this study, we provide a comprehensive description of phenotype, function and gene expression profiles of PD-1 high versus PD-1 low CD8 T cells in the peripheral blood of healthy human adults as following: 1) The percentage of naive and memory CD8 T cells varied widely in the peripheral blood cells of healthy humans and PD-1 was expressed by the memory CD8 T cells. 2) PD-1 high CD8 T cells in healthy humans did not significantly correlated with the PD-1 high exhausted gene signature of HIV specific human CD8 T cells or chronic LCMV specific CD8 T cells from mice. 3) PD-1 expression did not directly affect the ability of CD8 T cells to secrete cytokines in healthy adults. 4) PD-1 was expressed by the effector memory (TEM) compared to ‘terminally differentiated effector’ (TEMRA) CD8 T cells. 5) Finally, an interesting inverse relationship between CD45RA and PD-1 expression was observed."}
{"STANDARD_NAME":"GSE26495_NAIVE_VS_PD1LOW_CD8_TCELL_UP","SYSTEMATIC_NAME":"M4658","ORGANISM":"Homo sapiens","PMID":"21383243","AUTHORS":"Duraiswamy J,Ibegbu CC,Masopust D,Miller JD,Araki K,Doho GH,Tata P,Gupta S,Zilliox MJ,Nakaya HI,Pulendran B,Haining WN,Freeman GJ,Ahmed R.","GEOID":"GSE26495","EXACT_SOURCE":"GSE26495_1503_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive CD8 T cells versus PD-1 low CD8 T cells.","DESCRIPTION_FULL":"T cell dysfunction is an important feature of many chronic viral infections. In particular, it was shown that PD-1 regulates T cell dysfunction during chronic LCMV infection in mice and PD-1 high cells exhibit an intense exhausted gene signature. These findings were extended to human chronic infections such as HIV, HCV and HBV. However, it is not known if PD-1 high cells of healthy humans have the traits of exhausted cells. In this study, we provide a comprehensive description of phenotype, function and gene expression profiles of PD-1 high versus PD-1 low CD8 T cells in the peripheral blood of healthy human adults as following: 1) The percentage of naive and memory CD8 T cells varied widely in the peripheral blood cells of healthy humans and PD-1 was expressed by the memory CD8 T cells. 2) PD-1 high CD8 T cells in healthy humans did not significantly correlated with the PD-1 high exhausted gene signature of HIV specific human CD8 T cells or chronic LCMV specific CD8 T cells from mice. 3) PD-1 expression did not directly affect the ability of CD8 T cells to secrete cytokines in healthy adults. 4) PD-1 was expressed by the effector memory (TEM) compared to ‘terminally differentiated effector’ (TEMRA) CD8 T cells. 5) Finally, an interesting inverse relationship between CD45RA and PD-1 expression was observed."}
{"STANDARD_NAME":"GSE26495_NAIVE_VS_PD1LOW_CD8_TCELL_DN","SYSTEMATIC_NAME":"M4659","ORGANISM":"Homo sapiens","PMID":"21383243","AUTHORS":"Duraiswamy J,Ibegbu CC,Masopust D,Miller JD,Araki K,Doho GH,Tata P,Gupta S,Zilliox MJ,Nakaya HI,Pulendran B,Haining WN,Freeman GJ,Ahmed R.","GEOID":"GSE26495","EXACT_SOURCE":"GSE26495_1503_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive CD8 T cells versus PD-1 low CD8 T cells.","DESCRIPTION_FULL":"T cell dysfunction is an important feature of many chronic viral infections. In particular, it was shown that PD-1 regulates T cell dysfunction during chronic LCMV infection in mice and PD-1 high cells exhibit an intense exhausted gene signature. These findings were extended to human chronic infections such as HIV, HCV and HBV. However, it is not known if PD-1 high cells of healthy humans have the traits of exhausted cells. In this study, we provide a comprehensive description of phenotype, function and gene expression profiles of PD-1 high versus PD-1 low CD8 T cells in the peripheral blood of healthy human adults as following: 1) The percentage of naive and memory CD8 T cells varied widely in the peripheral blood cells of healthy humans and PD-1 was expressed by the memory CD8 T cells. 2) PD-1 high CD8 T cells in healthy humans did not significantly correlated with the PD-1 high exhausted gene signature of HIV specific human CD8 T cells or chronic LCMV specific CD8 T cells from mice. 3) PD-1 expression did not directly affect the ability of CD8 T cells to secrete cytokines in healthy adults. 4) PD-1 was expressed by the effector memory (TEM) compared to ‘terminally differentiated effector’ (TEMRA) CD8 T cells. 5) Finally, an interesting inverse relationship between CD45RA and PD-1 expression was observed."}
{"STANDARD_NAME":"GSE26495_PD1HIGH_VS_PD1LOW_CD8_TCELL_UP","SYSTEMATIC_NAME":"M4660","ORGANISM":"Homo sapiens","PMID":"21383243","AUTHORS":"Duraiswamy J,Ibegbu CC,Masopust D,Miller JD,Araki K,Doho GH,Tata P,Gupta S,Zilliox MJ,Nakaya HI,Pulendran B,Haining WN,Freeman GJ,Ahmed R.","GEOID":"GSE26495","EXACT_SOURCE":"GSE26495_1504_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of PD-1 high CD8 T cells versus PD-1 low CD8 T cells.","DESCRIPTION_FULL":"T cell dysfunction is an important feature of many chronic viral infections. In particular, it was shown that PD-1 regulates T cell dysfunction during chronic LCMV infection in mice and PD-1 high cells exhibit an intense exhausted gene signature. These findings were extended to human chronic infections such as HIV, HCV and HBV. However, it is not known if PD-1 high cells of healthy humans have the traits of exhausted cells. In this study, we provide a comprehensive description of phenotype, function and gene expression profiles of PD-1 high versus PD-1 low CD8 T cells in the peripheral blood of healthy human adults as following: 1) The percentage of naive and memory CD8 T cells varied widely in the peripheral blood cells of healthy humans and PD-1 was expressed by the memory CD8 T cells. 2) PD-1 high CD8 T cells in healthy humans did not significantly correlated with the PD-1 high exhausted gene signature of HIV specific human CD8 T cells or chronic LCMV specific CD8 T cells from mice. 3) PD-1 expression did not directly affect the ability of CD8 T cells to secrete cytokines in healthy adults. 4) PD-1 was expressed by the effector memory (TEM) compared to ‘terminally differentiated effector’ (TEMRA) CD8 T cells. 5) Finally, an interesting inverse relationship between CD45RA and PD-1 expression was observed."}
{"STANDARD_NAME":"GSE26495_PD1HIGH_VS_PD1LOW_CD8_TCELL_DN","SYSTEMATIC_NAME":"M4662","ORGANISM":"Homo sapiens","PMID":"21383243","AUTHORS":"Duraiswamy J,Ibegbu CC,Masopust D,Miller JD,Araki K,Doho GH,Tata P,Gupta S,Zilliox MJ,Nakaya HI,Pulendran B,Haining WN,Freeman GJ,Ahmed R.","GEOID":"GSE26495","EXACT_SOURCE":"GSE26495_1504_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of PD-1 high CD8 T cells versus PD-1 low CD8 T cells.","DESCRIPTION_FULL":"T cell dysfunction is an important feature of many chronic viral infections. In particular, it was shown that PD-1 regulates T cell dysfunction during chronic LCMV infection in mice and PD-1 high cells exhibit an intense exhausted gene signature. These findings were extended to human chronic infections such as HIV, HCV and HBV. However, it is not known if PD-1 high cells of healthy humans have the traits of exhausted cells. In this study, we provide a comprehensive description of phenotype, function and gene expression profiles of PD-1 high versus PD-1 low CD8 T cells in the peripheral blood of healthy human adults as following: 1) The percentage of naive and memory CD8 T cells varied widely in the peripheral blood cells of healthy humans and PD-1 was expressed by the memory CD8 T cells. 2) PD-1 high CD8 T cells in healthy humans did not significantly correlated with the PD-1 high exhausted gene signature of HIV specific human CD8 T cells or chronic LCMV specific CD8 T cells from mice. 3) PD-1 expression did not directly affect the ability of CD8 T cells to secrete cytokines in healthy adults. 4) PD-1 was expressed by the effector memory (TEM) compared to ‘terminally differentiated effector’ (TEMRA) CD8 T cells. 5) Finally, an interesting inverse relationship between CD45RA and PD-1 expression was observed."}
{"STANDARD_NAME":"GSE26669_CTRL_VS_COSTIM_BLOCK_MLR_CD4_TCELL_UP","SYSTEMATIC_NAME":"M4663","ORGANISM":"Mus musculus","PMID":"21362570","AUTHORS":"Pearl JI,Lee AS,Leveson-Gower DB,Sun N,Ghosh Z,Lan F,Ransohoff J,Negrin RS,Davis MM,Wu JC.","GEOID":"GSE26669","EXACT_SOURCE":"GSE26669_2330_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated CD4 [GeneID=920] T cells versus CD4 [GeneID=920] T cells treated with leukocyte costimulatory blockade antibodies.","DESCRIPTION_FULL":"To elucidate the gene expression “footprint” of antigenically challenged T-cells which had been treated with anti-LFA-1, CTLA4Ig, anti-CD40-ligand antibodies, we performed microarray gene expression analysis comparing the expression profile of costimulatory blockade treated and untreated responder T-cells."}
{"STANDARD_NAME":"GSE26669_CTRL_VS_COSTIM_BLOCK_MLR_CD4_TCELL_DN","SYSTEMATIC_NAME":"M4664","ORGANISM":"Mus musculus","PMID":"21362570","AUTHORS":"Pearl JI,Lee AS,Leveson-Gower DB,Sun N,Ghosh Z,Lan F,Ransohoff J,Negrin RS,Davis MM,Wu JC.","GEOID":"GSE26669","EXACT_SOURCE":"GSE26669_2330_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated CD4 [GeneID=920] T cells versus CD4 [GeneID=920] T cells treated with leukocyte costimulatory blockade antibodies.","DESCRIPTION_FULL":"To elucidate the gene expression “footprint” of antigenically challenged T-cells which had been treated with anti-LFA-1, CTLA4Ig, anti-CD40-ligand antibodies, we performed microarray gene expression analysis comparing the expression profile of costimulatory blockade treated and untreated responder T-cells."}
{"STANDARD_NAME":"GSE26669_CTRL_VS_COSTIM_BLOCK_MLR_CD8_TCELL_UP","SYSTEMATIC_NAME":"M4666","ORGANISM":"Mus musculus","PMID":"21362570","AUTHORS":"Pearl JI,Lee AS,Leveson-Gower DB,Sun N,Ghosh Z,Lan F,Ransohoff J,Negrin RS,Davis MM,Wu JC.","GEOID":"GSE26669","EXACT_SOURCE":"GSE26669_2331_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated CD8 T cells versus CD8 T cells treated with leukocyte costimulatory blockade antibodies.","DESCRIPTION_FULL":"To elucidate the gene expression “footprint” of antigenically challenged T-cells which had been treated with anti-LFA-1, CTLA4Ig, anti-CD40-ligand antibodies, we performed microarray gene expression analysis comparing the expression profile of costimulatory blockade treated and untreated responder T-cells."}
{"STANDARD_NAME":"GSE26669_CTRL_VS_COSTIM_BLOCK_MLR_CD8_TCELL_DN","SYSTEMATIC_NAME":"M4667","ORGANISM":"Mus musculus","PMID":"21362570","AUTHORS":"Pearl JI,Lee AS,Leveson-Gower DB,Sun N,Ghosh Z,Lan F,Ransohoff J,Negrin RS,Davis MM,Wu JC.","GEOID":"GSE26669","EXACT_SOURCE":"GSE26669_2331_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated CD8 T cells versus CD8 T cells treated with leukocyte costimulatory blockade antibodies.","DESCRIPTION_FULL":"To elucidate the gene expression “footprint” of antigenically challenged T-cells which had been treated with anti-LFA-1, CTLA4Ig, anti-CD40-ligand antibodies, we performed microarray gene expression analysis comparing the expression profile of costimulatory blockade treated and untreated responder T-cells."}
{"STANDARD_NAME":"GSE26669_CD4_VS_CD8_TCELL_IN_MLR_UP","SYSTEMATIC_NAME":"M4668","ORGANISM":"Mus musculus","PMID":"21362570","AUTHORS":"Pearl JI,Lee AS,Leveson-Gower DB,Sun N,Ghosh Z,Lan F,Ransohoff J,Negrin RS,Davis MM,Wu JC.","GEOID":"GSE26669","EXACT_SOURCE":"GSE26669_2332_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated CD4 [GeneID=920] T cells versus the untreated CD8 T cells.","DESCRIPTION_FULL":"To elucidate the gene expression “footprint” of antigenically challenged T-cells which had been treated with anti-LFA-1, CTLA4Ig, anti-CD40-ligand antibodies, we performed microarray gene expression analysis comparing the expression profile of costimulatory blockade treated and untreated responder T-cells."}
{"STANDARD_NAME":"GSE26669_CD4_VS_CD8_TCELL_IN_MLR_DN","SYSTEMATIC_NAME":"M4670","ORGANISM":"Mus musculus","PMID":"21362570","AUTHORS":"Pearl JI,Lee AS,Leveson-Gower DB,Sun N,Ghosh Z,Lan F,Ransohoff J,Negrin RS,Davis MM,Wu JC.","GEOID":"GSE26669","EXACT_SOURCE":"GSE26669_2332_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated CD4 [GeneID=920] T cells versus the untreated CD8 T cells.","DESCRIPTION_FULL":"To elucidate the gene expression “footprint” of antigenically challenged T-cells which had been treated with anti-LFA-1, CTLA4Ig, anti-CD40-ligand antibodies, we performed microarray gene expression analysis comparing the expression profile of costimulatory blockade treated and untreated responder T-cells."}
{"STANDARD_NAME":"GSE26669_CD4_VS_CD8_TCELL_IN_MLR_COSTIM_BLOCK_UP","SYSTEMATIC_NAME":"M4672","ORGANISM":"Mus musculus","PMID":"21362570","AUTHORS":"Pearl JI,Lee AS,Leveson-Gower DB,Sun N,Ghosh Z,Lan F,Ransohoff J,Negrin RS,Davis MM,Wu JC.","GEOID":"GSE26669","EXACT_SOURCE":"GSE26669_2333_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated CD4 [GeneID=920] T cells versus CD8 T cells treated with leukocyte costimulatory blockade antibodies.","DESCRIPTION_FULL":"To elucidate the gene expression “footprint” of antigenically challenged T-cells which had been treated with anti-LFA-1, CTLA4Ig, anti-CD40-ligand antibodies, we performed microarray gene expression analysis comparing the expression profile of costimulatory blockade treated and untreated responder T-cells."}
{"STANDARD_NAME":"GSE26669_CD4_VS_CD8_TCELL_IN_MLR_COSTIM_BLOCK_DN","SYSTEMATIC_NAME":"M4673","ORGANISM":"Mus musculus","PMID":"21362570","AUTHORS":"Pearl JI,Lee AS,Leveson-Gower DB,Sun N,Ghosh Z,Lan F,Ransohoff J,Negrin RS,Davis MM,Wu JC.","GEOID":"GSE26669","EXACT_SOURCE":"GSE26669_2333_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated CD4 [GeneID=920] T cells versus CD8 T cells treated with leukocyte costimulatory blockade antibodies.","DESCRIPTION_FULL":"To elucidate the gene expression “footprint” of antigenically challenged T-cells which had been treated with anti-LFA-1, CTLA4Ig, anti-CD40-ligand antibodies, we performed microarray gene expression analysis comparing the expression profile of costimulatory blockade treated and untreated responder T-cells."}
{"STANDARD_NAME":"GSE26928_NAIVE_VS_EFF_MEMORY_CD4_TCELL_UP","SYSTEMATIC_NAME":"M4674","ORGANISM":"Homo sapiens","PMID":"21471443","AUTHORS":"Chevalier N,Jarrossay D,Ho E,Avery DT,Ma CS,Yu D,Sallusto F,Tangye SG,Mackay CR.","GEOID":"GSE26928","EXACT_SOURCE":"GSE26928_1712_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive CD4 [GeneID=920] T cells versus CD4 [GeneID=920] effector memory T cells."}
{"STANDARD_NAME":"GSE26928_NAIVE_VS_EFF_MEMORY_CD4_TCELL_DN","SYSTEMATIC_NAME":"M4676","ORGANISM":"Homo sapiens","PMID":"21471443","AUTHORS":"Chevalier N,Jarrossay D,Ho E,Avery DT,Ma CS,Yu D,Sallusto F,Tangye SG,Mackay CR.","GEOID":"GSE26928","EXACT_SOURCE":"GSE26928_1712_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive CD4 [GeneID=920] T cells versus CD4 [GeneID=920] effector memory T cells."}
{"STANDARD_NAME":"GSE26928_NAIVE_VS_CENT_MEMORY_CD4_TCELL_UP","SYSTEMATIC_NAME":"M4677","ORGANISM":"Homo sapiens","PMID":"21471443","AUTHORS":"Chevalier N,Jarrossay D,Ho E,Avery DT,Ma CS,Yu D,Sallusto F,Tangye SG,Mackay CR.","GEOID":"GSE26928","EXACT_SOURCE":"GSE26928_1713_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive CD4 [GeneID=920] T cells versus CD4 [GeneID=920] central memory T cells."}
{"STANDARD_NAME":"GSE26928_NAIVE_VS_CENT_MEMORY_CD4_TCELL_DN","SYSTEMATIC_NAME":"M4678","ORGANISM":"Homo sapiens","PMID":"21471443","AUTHORS":"Chevalier N,Jarrossay D,Ho E,Avery DT,Ma CS,Yu D,Sallusto F,Tangye SG,Mackay CR.","GEOID":"GSE26928","EXACT_SOURCE":"GSE26928_1713_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive CD4 [GeneID=920] T cells versus CD4 [GeneID=920] central memory T cells."}
{"STANDARD_NAME":"GSE26928_NAIVE_VS_CXCR5_POS_CD4_TCELL_UP","SYSTEMATIC_NAME":"M4682","ORGANISM":"Homo sapiens","PMID":"21471443","AUTHORS":"Chevalier N,Jarrossay D,Ho E,Avery DT,Ma CS,Yu D,Sallusto F,Tangye SG,Mackay CR.","GEOID":"GSE26928","EXACT_SOURCE":"GSE26928_1714_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive CD4 [GeneID=920] T cells versus CD4 [GeneID=920] CXCR5+ [GeneID=643] T cells."}
{"STANDARD_NAME":"GSE26928_NAIVE_VS_CXCR5_POS_CD4_TCELL_DN","SYSTEMATIC_NAME":"M4683","ORGANISM":"Homo sapiens","PMID":"21471443","AUTHORS":"Chevalier N,Jarrossay D,Ho E,Avery DT,Ma CS,Yu D,Sallusto F,Tangye SG,Mackay CR.","GEOID":"GSE26928","EXACT_SOURCE":"GSE26928_1714_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive CD4 [GeneID=920] T cells versus CD4 [GeneID=920] CXCR5+ [GeneID=643] T cells."}
{"STANDARD_NAME":"GSE26928_EFF_MEM_VS_CENTR_MEM_CD4_TCELL_UP","SYSTEMATIC_NAME":"M4684","ORGANISM":"Homo sapiens","PMID":"21471443","AUTHORS":"Chevalier N,Jarrossay D,Ho E,Avery DT,Ma CS,Yu D,Sallusto F,Tangye SG,Mackay CR.","GEOID":"GSE26928","EXACT_SOURCE":"GSE26928_1715_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD4 [GeneID=920] effector memory T cells versus CD4 [GeneID=920] central memory T cells."}
{"STANDARD_NAME":"GSE26928_EFF_MEM_VS_CENTR_MEM_CD4_TCELL_DN","SYSTEMATIC_NAME":"M4685","ORGANISM":"Homo sapiens","PMID":"21471443","AUTHORS":"Chevalier N,Jarrossay D,Ho E,Avery DT,Ma CS,Yu D,Sallusto F,Tangye SG,Mackay CR.","GEOID":"GSE26928","EXACT_SOURCE":"GSE26928_1715_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD4 [GeneID=920] effector memory T cells versus CD4 [GeneID=920] central memory T cells."}
{"STANDARD_NAME":"GSE26928_EFF_MEMORY_VS_CXCR5_POS_CD4_TCELL_UP","SYSTEMATIC_NAME":"M4686","ORGANISM":"Homo sapiens","PMID":"21471443","AUTHORS":"Chevalier N,Jarrossay D,Ho E,Avery DT,Ma CS,Yu D,Sallusto F,Tangye SG,Mackay CR.","GEOID":"GSE26928","EXACT_SOURCE":"GSE26928_1716_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD4 [GeneID=920] effector memory T cells versus CD4 [GeneID=920] CXCR5+ [GeneID=643] T cells."}
{"STANDARD_NAME":"GSE26928_EFF_MEMORY_VS_CXCR5_POS_CD4_TCELL_DN","SYSTEMATIC_NAME":"M4687","ORGANISM":"Homo sapiens","PMID":"21471443","AUTHORS":"Chevalier N,Jarrossay D,Ho E,Avery DT,Ma CS,Yu D,Sallusto F,Tangye SG,Mackay CR.","GEOID":"GSE26928","EXACT_SOURCE":"GSE26928_1716_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD4 [GeneID=920] effector memory T cells versus CD4 [GeneID=920] CXCR5+ [GeneID=643] T cells."}
{"STANDARD_NAME":"GSE26928_CENTR_MEMORY_VS_CXCR5_POS_CD4_TCELL_UP","SYSTEMATIC_NAME":"M4688","ORGANISM":"Homo sapiens","PMID":"21471443","AUTHORS":"Chevalier N,Jarrossay D,Ho E,Avery DT,Ma CS,Yu D,Sallusto F,Tangye SG,Mackay CR.","GEOID":"GSE26928","EXACT_SOURCE":"GSE26928_1717_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD4 [GeneID=920] central memory T cells versus CD4 [GeneID=920] CXCR5+ [GeneID=643] T cells."}
{"STANDARD_NAME":"GSE26928_CENTR_MEMORY_VS_CXCR5_POS_CD4_TCELL_DN","SYSTEMATIC_NAME":"M4689","ORGANISM":"Homo sapiens","PMID":"21471443","AUTHORS":"Chevalier N,Jarrossay D,Ho E,Avery DT,Ma CS,Yu D,Sallusto F,Tangye SG,Mackay CR.","GEOID":"GSE26928","EXACT_SOURCE":"GSE26928_1717_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD4 [GeneID=920] central memory T cells versus CD4 [GeneID=920] CXCR5+ [GeneID=643] T cells."}
{"STANDARD_NAME":"GSE2706_UNSTIM_VS_2H_R848_DC_UP","SYSTEMATIC_NAME":"M4691","ORGANISM":"Homo sapiens","PMID":"15995707","AUTHORS":"Napolitani G,Rinaldi A,Bertoni F,Sallusto F,Lanzavecchia A.","GEOID":"GSE2706","EXACT_SOURCE":"GSE2706_1837_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of unstimulated dendritic cells (DC) at 0 h versus DCs stimulated with R848 for 2 h.","DESCRIPTION_FULL":"Toll like receptors (TLRs) sense microbial products and initiate adaptive immune responses by activating dendritic cells (DCs). Since pathogens may contain several agonists we asked whether different TLRs may synergize in DC activation. We report that in human and mouse DC TLR3 or TLR4 potently synergize with TLR7, TLR8 or TLR9 in the induction of selected cytokine genes. Upon synergistic stimulation, IL-12, IL-23 and Delta-4 are induced at levels 50-100 fold higher than those induced by optimal concentrations of single agonists, leading to enhanced and sustained TH1 polarizing capacity. Using microarray analysis we show that only 1.5% of the transcripts induced by single TLR agonists are synergistically regulated by combinations of TLR4 and TLR8 agonists. These results identify a combinatorial code by which DCs discriminate pathogens and provide (suggest) a rationale to design adjuvants for TH1 responses. Series_overall_design: 3 untreated, 3 treated with LPS at 2h, 3 treated with LPS at 8h, 3 treated with R848 at 2h, 3 treated with R848 at 8h, 3 treated with LPS + R848 at 2h, 3 treated with LPS + R848 at 8h"}
{"STANDARD_NAME":"GSE2706_UNSTIM_VS_2H_R848_DC_DN","SYSTEMATIC_NAME":"M4692","ORGANISM":"Homo sapiens","PMID":"15995707","AUTHORS":"Napolitani G,Rinaldi A,Bertoni F,Sallusto F,Lanzavecchia A.","GEOID":"GSE2706","EXACT_SOURCE":"GSE2706_1837_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of unstimulated dendritic cells (DC) at 0 h versus DCs stimulated with R848 for 2 h.","DESCRIPTION_FULL":"Toll like receptors (TLRs) sense microbial products and initiate adaptive immune responses by activating dendritic cells (DCs). Since pathogens may contain several agonists we asked whether different TLRs may synergize in DC activation. We report that in human and mouse DC TLR3 or TLR4 potently synergize with TLR7, TLR8 or TLR9 in the induction of selected cytokine genes. Upon synergistic stimulation, IL-12, IL-23 and Delta-4 are induced at levels 50-100 fold higher than those induced by optimal concentrations of single agonists, leading to enhanced and sustained TH1 polarizing capacity. Using microarray analysis we show that only 1.5% of the transcripts induced by single TLR agonists are synergistically regulated by combinations of TLR4 and TLR8 agonists. These results identify a combinatorial code by which DCs discriminate pathogens and provide (suggest) a rationale to design adjuvants for TH1 responses. Series_overall_design: 3 untreated, 3 treated with LPS at 2h, 3 treated with LPS at 8h, 3 treated with R848 at 2h, 3 treated with R848 at 8h, 3 treated with LPS + R848 at 2h, 3 treated with LPS + R848 at 8h"}
{"STANDARD_NAME":"GSE2706_UNSTIM_VS_8H_R848_DC_UP","SYSTEMATIC_NAME":"M4693","ORGANISM":"Homo sapiens","PMID":"15995707","AUTHORS":"Napolitani G,Rinaldi A,Bertoni F,Sallusto F,Lanzavecchia A.","GEOID":"GSE2706","EXACT_SOURCE":"GSE2706_1838_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of unstimulated dendritic cells (DC) at 0 h versus DCs stimulated with R848 for 8 h.","DESCRIPTION_FULL":"Toll like receptors (TLRs) sense microbial products and initiate adaptive immune responses by activating dendritic cells (DCs). Since pathogens may contain several agonists we asked whether different TLRs may synergize in DC activation. We report that in human and mouse DC TLR3 or TLR4 potently synergize with TLR7, TLR8 or TLR9 in the induction of selected cytokine genes. Upon synergistic stimulation, IL-12, IL-23 and Delta-4 are induced at levels 50-100 fold higher than those induced by optimal concentrations of single agonists, leading to enhanced and sustained TH1 polarizing capacity. Using microarray analysis we show that only 1.5% of the transcripts induced by single TLR agonists are synergistically regulated by combinations of TLR4 and TLR8 agonists. These results identify a combinatorial code by which DCs discriminate pathogens and provide (suggest) a rationale to design adjuvants for TH1 responses. Series_overall_design: 3 untreated, 3 treated with LPS at 2h, 3 treated with LPS at 8h, 3 treated with R848 at 2h, 3 treated with R848 at 8h, 3 treated with LPS + R848 at 2h, 3 treated with LPS + R848 at 8h"}
{"STANDARD_NAME":"GSE2706_UNSTIM_VS_8H_R848_DC_DN","SYSTEMATIC_NAME":"M4694","ORGANISM":"Homo sapiens","PMID":"15995707","AUTHORS":"Napolitani G,Rinaldi A,Bertoni F,Sallusto F,Lanzavecchia A.","GEOID":"GSE2706","EXACT_SOURCE":"GSE2706_1838_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of unstimulated dendritic cells (DC) at 0 h versus DCs stimulated with R848 for 8 h.","DESCRIPTION_FULL":"Toll like receptors (TLRs) sense microbial products and initiate adaptive immune responses by activating dendritic cells (DCs). Since pathogens may contain several agonists we asked whether different TLRs may synergize in DC activation. We report that in human and mouse DC TLR3 or TLR4 potently synergize with TLR7, TLR8 or TLR9 in the induction of selected cytokine genes. Upon synergistic stimulation, IL-12, IL-23 and Delta-4 are induced at levels 50-100 fold higher than those induced by optimal concentrations of single agonists, leading to enhanced and sustained TH1 polarizing capacity. Using microarray analysis we show that only 1.5% of the transcripts induced by single TLR agonists are synergistically regulated by combinations of TLR4 and TLR8 agonists. These results identify a combinatorial code by which DCs discriminate pathogens and provide (suggest) a rationale to design adjuvants for TH1 responses. Series_overall_design: 3 untreated, 3 treated with LPS at 2h, 3 treated with LPS at 8h, 3 treated with R848 at 2h, 3 treated with R848 at 8h, 3 treated with LPS + R848 at 2h, 3 treated with LPS + R848 at 8h"}
{"STANDARD_NAME":"GSE2706_UNSTIM_VS_2H_LPS_DC_UP","SYSTEMATIC_NAME":"M4695","ORGANISM":"Homo sapiens","PMID":"15995707","AUTHORS":"Napolitani G,Rinaldi A,Bertoni F,Sallusto F,Lanzavecchia A.","GEOID":"GSE2706","EXACT_SOURCE":"GSE2706_1839_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of unstimulated dendritic cells (DC) at 0 h versus DCs stimulated with LPS (TLR4 agonist) for 2 h.","DESCRIPTION_FULL":"Toll like receptors (TLRs) sense microbial products and initiate adaptive immune responses by activating dendritic cells (DCs). Since pathogens may contain several agonists we asked whether different TLRs may synergize in DC activation. We report that in human and mouse DC TLR3 or TLR4 potently synergize with TLR7, TLR8 or TLR9 in the induction of selected cytokine genes. Upon synergistic stimulation, IL-12, IL-23 and Delta-4 are induced at levels 50-100 fold higher than those induced by optimal concentrations of single agonists, leading to enhanced and sustained TH1 polarizing capacity. Using microarray analysis we show that only 1.5% of the transcripts induced by single TLR agonists are synergistically regulated by combinations of TLR4 and TLR8 agonists. These results identify a combinatorial code by which DCs discriminate pathogens and provide (suggest) a rationale to design adjuvants for TH1 responses. Series_overall_design: 3 untreated, 3 treated with LPS at 2h, 3 treated with LPS at 8h, 3 treated with R848 at 2h, 3 treated with R848 at 8h, 3 treated with LPS + R848 at 2h, 3 treated with LPS + R848 at 8h"}
{"STANDARD_NAME":"GSE2706_UNSTIM_VS_2H_LPS_DC_DN","SYSTEMATIC_NAME":"M4696","ORGANISM":"Homo sapiens","PMID":"15995707","AUTHORS":"Napolitani G,Rinaldi A,Bertoni F,Sallusto F,Lanzavecchia A.","GEOID":"GSE2706","EXACT_SOURCE":"GSE2706_1839_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of unstimulated dendritic cells (DC) at 0 h versus DCs stimulated with LPS (TLR4 agonist) for 2 h.","DESCRIPTION_FULL":"Toll like receptors (TLRs) sense microbial products and initiate adaptive immune responses by activating dendritic cells (DCs). Since pathogens may contain several agonists we asked whether different TLRs may synergize in DC activation. We report that in human and mouse DC TLR3 or TLR4 potently synergize with TLR7, TLR8 or TLR9 in the induction of selected cytokine genes. Upon synergistic stimulation, IL-12, IL-23 and Delta-4 are induced at levels 50-100 fold higher than those induced by optimal concentrations of single agonists, leading to enhanced and sustained TH1 polarizing capacity. Using microarray analysis we show that only 1.5% of the transcripts induced by single TLR agonists are synergistically regulated by combinations of TLR4 and TLR8 agonists. These results identify a combinatorial code by which DCs discriminate pathogens and provide (suggest) a rationale to design adjuvants for TH1 responses. Series_overall_design: 3 untreated, 3 treated with LPS at 2h, 3 treated with LPS at 8h, 3 treated with R848 at 2h, 3 treated with R848 at 8h, 3 treated with LPS + R848 at 2h, 3 treated with LPS + R848 at 8h"}
{"STANDARD_NAME":"GSE2706_UNSTIM_VS_8H_LPS_DC_UP","SYSTEMATIC_NAME":"M4698","ORGANISM":"Homo sapiens","PMID":"15995707","AUTHORS":"Napolitani G,Rinaldi A,Bertoni F,Sallusto F,Lanzavecchia A.","GEOID":"GSE2706","EXACT_SOURCE":"GSE2706_1840_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of unstimulated dendritic cells (DC) at 0 h versus DCs stimulated with LPS (TLR4 agonist) for 8 h.","DESCRIPTION_FULL":"Toll like receptors (TLRs) sense microbial products and initiate adaptive immune responses by activating dendritic cells (DCs). Since pathogens may contain several agonists we asked whether different TLRs may synergize in DC activation. We report that in human and mouse DC TLR3 or TLR4 potently synergize with TLR7, TLR8 or TLR9 in the induction of selected cytokine genes. Upon synergistic stimulation, IL-12, IL-23 and Delta-4 are induced at levels 50-100 fold higher than those induced by optimal concentrations of single agonists, leading to enhanced and sustained TH1 polarizing capacity. Using microarray analysis we show that only 1.5% of the transcripts induced by single TLR agonists are synergistically regulated by combinations of TLR4 and TLR8 agonists. These results identify a combinatorial code by which DCs discriminate pathogens and provide (suggest) a rationale to design adjuvants for TH1 responses. Series_overall_design: 3 untreated, 3 treated with LPS at 2h, 3 treated with LPS at 8h, 3 treated with R848 at 2h, 3 treated with R848 at 8h, 3 treated with LPS + R848 at 2h, 3 treated with LPS + R848 at 8h"}
{"STANDARD_NAME":"GSE2706_UNSTIM_VS_8H_LPS_DC_DN","SYSTEMATIC_NAME":"M4701","ORGANISM":"Homo sapiens","PMID":"15995707","AUTHORS":"Napolitani G,Rinaldi A,Bertoni F,Sallusto F,Lanzavecchia A.","GEOID":"GSE2706","EXACT_SOURCE":"GSE2706_1840_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of unstimulated dendritic cells (DC) at 0 h versus DCs stimulated with LPS (TLR4 agonist) for 8 h.","DESCRIPTION_FULL":"Toll like receptors (TLRs) sense microbial products and initiate adaptive immune responses by activating dendritic cells (DCs). Since pathogens may contain several agonists we asked whether different TLRs may synergize in DC activation. We report that in human and mouse DC TLR3 or TLR4 potently synergize with TLR7, TLR8 or TLR9 in the induction of selected cytokine genes. Upon synergistic stimulation, IL-12, IL-23 and Delta-4 are induced at levels 50-100 fold higher than those induced by optimal concentrations of single agonists, leading to enhanced and sustained TH1 polarizing capacity. Using microarray analysis we show that only 1.5% of the transcripts induced by single TLR agonists are synergistically regulated by combinations of TLR4 and TLR8 agonists. These results identify a combinatorial code by which DCs discriminate pathogens and provide (suggest) a rationale to design adjuvants for TH1 responses. Series_overall_design: 3 untreated, 3 treated with LPS at 2h, 3 treated with LPS at 8h, 3 treated with R848 at 2h, 3 treated with R848 at 8h, 3 treated with LPS + R848 at 2h, 3 treated with LPS + R848 at 8h"}
{"STANDARD_NAME":"GSE2706_UNSTIM_VS_2H_LPS_AND_R848_DC_UP","SYSTEMATIC_NAME":"M4702","ORGANISM":"Homo sapiens","PMID":"15995707","AUTHORS":"Napolitani G,Rinaldi A,Bertoni F,Sallusto F,Lanzavecchia A.","GEOID":"GSE2706","EXACT_SOURCE":"GSE2706_1841_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of unstimulated dendritic cells (DC) at 0 h versus DCs stimulated with LPS (TLR4 agonist) and R848 for 2 h.","DESCRIPTION_FULL":"Toll like receptors (TLRs) sense microbial products and initiate adaptive immune responses by activating dendritic cells (DCs). Since pathogens may contain several agonists we asked whether different TLRs may synergize in DC activation. We report that in human and mouse DC TLR3 or TLR4 potently synergize with TLR7, TLR8 or TLR9 in the induction of selected cytokine genes. Upon synergistic stimulation, IL-12, IL-23 and Delta-4 are induced at levels 50-100 fold higher than those induced by optimal concentrations of single agonists, leading to enhanced and sustained TH1 polarizing capacity. Using microarray analysis we show that only 1.5% of the transcripts induced by single TLR agonists are synergistically regulated by combinations of TLR4 and TLR8 agonists. These results identify a combinatorial code by which DCs discriminate pathogens and provide (suggest) a rationale to design adjuvants for TH1 responses. Series_overall_design: 3 untreated, 3 treated with LPS at 2h, 3 treated with LPS at 8h, 3 treated with R848 at 2h, 3 treated with R848 at 8h, 3 treated with LPS + R848 at 2h, 3 treated with LPS + R848 at 8h"}
{"STANDARD_NAME":"GSE2706_UNSTIM_VS_2H_LPS_AND_R848_DC_DN","SYSTEMATIC_NAME":"M4703","ORGANISM":"Homo sapiens","PMID":"15995707","AUTHORS":"Napolitani G,Rinaldi A,Bertoni F,Sallusto F,Lanzavecchia A.","GEOID":"GSE2706","EXACT_SOURCE":"GSE2706_1841_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of unstimulated dendritic cells (DC) at 0 h versus DCs stimulated with LPS (TLR4 agonist) and R848 for 2 h.","DESCRIPTION_FULL":"Toll like receptors (TLRs) sense microbial products and initiate adaptive immune responses by activating dendritic cells (DCs). Since pathogens may contain several agonists we asked whether different TLRs may synergize in DC activation. We report that in human and mouse DC TLR3 or TLR4 potently synergize with TLR7, TLR8 or TLR9 in the induction of selected cytokine genes. Upon synergistic stimulation, IL-12, IL-23 and Delta-4 are induced at levels 50-100 fold higher than those induced by optimal concentrations of single agonists, leading to enhanced and sustained TH1 polarizing capacity. Using microarray analysis we show that only 1.5% of the transcripts induced by single TLR agonists are synergistically regulated by combinations of TLR4 and TLR8 agonists. These results identify a combinatorial code by which DCs discriminate pathogens and provide (suggest) a rationale to design adjuvants for TH1 responses. Series_overall_design: 3 untreated, 3 treated with LPS at 2h, 3 treated with LPS at 8h, 3 treated with R848 at 2h, 3 treated with R848 at 8h, 3 treated with LPS + R848 at 2h, 3 treated with LPS + R848 at 8h"}
{"STANDARD_NAME":"GSE2706_UNSTIM_VS_8H_LPS_AND_R848_DC_UP","SYSTEMATIC_NAME":"M4704","ORGANISM":"Homo sapiens","PMID":"15995707","AUTHORS":"Napolitani G,Rinaldi A,Bertoni F,Sallusto F,Lanzavecchia A.","GEOID":"GSE2706","EXACT_SOURCE":"GSE2706_1842_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of unstimulated dendritic cells (DC) at 0 h versus DCs stimulated with LPS (TLR4 agonist) and R848 for 8 h.","DESCRIPTION_FULL":"Toll like receptors (TLRs) sense microbial products and initiate adaptive immune responses by activating dendritic cells (DCs). Since pathogens may contain several agonists we asked whether different TLRs may synergize in DC activation. We report that in human and mouse DC TLR3 or TLR4 potently synergize with TLR7, TLR8 or TLR9 in the induction of selected cytokine genes. Upon synergistic stimulation, IL-12, IL-23 and Delta-4 are induced at levels 50-100 fold higher than those induced by optimal concentrations of single agonists, leading to enhanced and sustained TH1 polarizing capacity. Using microarray analysis we show that only 1.5% of the transcripts induced by single TLR agonists are synergistically regulated by combinations of TLR4 and TLR8 agonists. These results identify a combinatorial code by which DCs discriminate pathogens and provide (suggest) a rationale to design adjuvants for TH1 responses. Series_overall_design: 3 untreated, 3 treated with LPS at 2h, 3 treated with LPS at 8h, 3 treated with R848 at 2h, 3 treated with R848 at 8h, 3 treated with LPS + R848 at 2h, 3 treated with LPS + R848 at 8h"}
{"STANDARD_NAME":"GSE2706_UNSTIM_VS_8H_LPS_AND_R848_DC_DN","SYSTEMATIC_NAME":"M4705","ORGANISM":"Homo sapiens","PMID":"15995707","AUTHORS":"Napolitani G,Rinaldi A,Bertoni F,Sallusto F,Lanzavecchia A.","GEOID":"GSE2706","EXACT_SOURCE":"GSE2706_1842_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of unstimulated dendritic cells (DC) at 0 h versus DCs stimulated with LPS (TLR4 agonist) and R848 for 8 h.","DESCRIPTION_FULL":"Toll like receptors (TLRs) sense microbial products and initiate adaptive immune responses by activating dendritic cells (DCs). Since pathogens may contain several agonists we asked whether different TLRs may synergize in DC activation. We report that in human and mouse DC TLR3 or TLR4 potently synergize with TLR7, TLR8 or TLR9 in the induction of selected cytokine genes. Upon synergistic stimulation, IL-12, IL-23 and Delta-4 are induced at levels 50-100 fold higher than those induced by optimal concentrations of single agonists, leading to enhanced and sustained TH1 polarizing capacity. Using microarray analysis we show that only 1.5% of the transcripts induced by single TLR agonists are synergistically regulated by combinations of TLR4 and TLR8 agonists. These results identify a combinatorial code by which DCs discriminate pathogens and provide (suggest) a rationale to design adjuvants for TH1 responses. Series_overall_design: 3 untreated, 3 treated with LPS at 2h, 3 treated with LPS at 8h, 3 treated with R848 at 2h, 3 treated with R848 at 8h, 3 treated with LPS + R848 at 2h, 3 treated with LPS + R848 at 8h"}
{"STANDARD_NAME":"GSE2706_R848_VS_LPS_2H_STIM_DC_UP","SYSTEMATIC_NAME":"M4706","ORGANISM":"Homo sapiens","PMID":"15995707","AUTHORS":"Napolitani G,Rinaldi A,Bertoni F,Sallusto F,Lanzavecchia A.","GEOID":"GSE2706","EXACT_SOURCE":"GSE2706_1843_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with R848 at 2 h versus DCs stimulated with LPS (TLR4 agonist) for 2 h.","DESCRIPTION_FULL":"Toll like receptors (TLRs) sense microbial products and initiate adaptive immune responses by activating dendritic cells (DCs). Since pathogens may contain several agonists we asked whether different TLRs may synergize in DC activation. We report that in human and mouse DC TLR3 or TLR4 potently synergize with TLR7, TLR8 or TLR9 in the induction of selected cytokine genes. Upon synergistic stimulation, IL-12, IL-23 and Delta-4 are induced at levels 50-100 fold higher than those induced by optimal concentrations of single agonists, leading to enhanced and sustained TH1 polarizing capacity. Using microarray analysis we show that only 1.5% of the transcripts induced by single TLR agonists are synergistically regulated by combinations of TLR4 and TLR8 agonists. These results identify a combinatorial code by which DCs discriminate pathogens and provide (suggest) a rationale to design adjuvants for TH1 responses. Series_overall_design: 3 untreated, 3 treated with LPS at 2h, 3 treated with LPS at 8h, 3 treated with R848 at 2h, 3 treated with R848 at 8h, 3 treated with LPS + R848 at 2h, 3 treated with LPS + R848 at 8h"}
{"STANDARD_NAME":"GSE2706_R848_VS_LPS_2H_STIM_DC_DN","SYSTEMATIC_NAME":"M4708","ORGANISM":"Homo sapiens","PMID":"15995707","AUTHORS":"Napolitani G,Rinaldi A,Bertoni F,Sallusto F,Lanzavecchia A.","GEOID":"GSE2706","EXACT_SOURCE":"GSE2706_1843_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with R848 at 2 h versus DCs stimulated with LPS (TLR4 agonist) for 2 h.","DESCRIPTION_FULL":"Toll like receptors (TLRs) sense microbial products and initiate adaptive immune responses by activating dendritic cells (DCs). Since pathogens may contain several agonists we asked whether different TLRs may synergize in DC activation. We report that in human and mouse DC TLR3 or TLR4 potently synergize with TLR7, TLR8 or TLR9 in the induction of selected cytokine genes. Upon synergistic stimulation, IL-12, IL-23 and Delta-4 are induced at levels 50-100 fold higher than those induced by optimal concentrations of single agonists, leading to enhanced and sustained TH1 polarizing capacity. Using microarray analysis we show that only 1.5% of the transcripts induced by single TLR agonists are synergistically regulated by combinations of TLR4 and TLR8 agonists. These results identify a combinatorial code by which DCs discriminate pathogens and provide (suggest) a rationale to design adjuvants for TH1 responses. Series_overall_design: 3 untreated, 3 treated with LPS at 2h, 3 treated with LPS at 8h, 3 treated with R848 at 2h, 3 treated with R848 at 8h, 3 treated with LPS + R848 at 2h, 3 treated with LPS + R848 at 8h"}
{"STANDARD_NAME":"GSE2706_R848_VS_LPS_8H_STIM_DC_UP","SYSTEMATIC_NAME":"M4712","ORGANISM":"Homo sapiens","PMID":"15995707","AUTHORS":"Napolitani G,Rinaldi A,Bertoni F,Sallusto F,Lanzavecchia A.","GEOID":"GSE2706","EXACT_SOURCE":"GSE2706_1844_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with R848 at 8 h versus DCs stimulated with LPS (TLR4 agonist) for 8 h.","DESCRIPTION_FULL":"Toll like receptors (TLRs) sense microbial products and initiate adaptive immune responses by activating dendritic cells (DCs). Since pathogens may contain several agonists we asked whether different TLRs may synergize in DC activation. We report that in human and mouse DC TLR3 or TLR4 potently synergize with TLR7, TLR8 or TLR9 in the induction of selected cytokine genes. Upon synergistic stimulation, IL-12, IL-23 and Delta-4 are induced at levels 50-100 fold higher than those induced by optimal concentrations of single agonists, leading to enhanced and sustained TH1 polarizing capacity. Using microarray analysis we show that only 1.5% of the transcripts induced by single TLR agonists are synergistically regulated by combinations of TLR4 and TLR8 agonists. These results identify a combinatorial code by which DCs discriminate pathogens and provide (suggest) a rationale to design adjuvants for TH1 responses. Series_overall_design: 3 untreated, 3 treated with LPS at 2h, 3 treated with LPS at 8h, 3 treated with R848 at 2h, 3 treated with R848 at 8h, 3 treated with LPS + R848 at 2h, 3 treated with LPS + R848 at 8h"}
{"STANDARD_NAME":"GSE2706_R848_VS_LPS_8H_STIM_DC_DN","SYSTEMATIC_NAME":"M4713","ORGANISM":"Homo sapiens","PMID":"15995707","AUTHORS":"Napolitani G,Rinaldi A,Bertoni F,Sallusto F,Lanzavecchia A.","GEOID":"GSE2706","EXACT_SOURCE":"GSE2706_1844_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with R848 at 8 h versus DCs stimulated with LPS (TLR4 agonist) for 8 h.","DESCRIPTION_FULL":"Toll like receptors (TLRs) sense microbial products and initiate adaptive immune responses by activating dendritic cells (DCs). Since pathogens may contain several agonists we asked whether different TLRs may synergize in DC activation. We report that in human and mouse DC TLR3 or TLR4 potently synergize with TLR7, TLR8 or TLR9 in the induction of selected cytokine genes. Upon synergistic stimulation, IL-12, IL-23 and Delta-4 are induced at levels 50-100 fold higher than those induced by optimal concentrations of single agonists, leading to enhanced and sustained TH1 polarizing capacity. Using microarray analysis we show that only 1.5% of the transcripts induced by single TLR agonists are synergistically regulated by combinations of TLR4 and TLR8 agonists. These results identify a combinatorial code by which DCs discriminate pathogens and provide (suggest) a rationale to design adjuvants for TH1 responses. Series_overall_design: 3 untreated, 3 treated with LPS at 2h, 3 treated with LPS at 8h, 3 treated with R848 at 2h, 3 treated with R848 at 8h, 3 treated with LPS + R848 at 2h, 3 treated with LPS + R848 at 8h"}
{"STANDARD_NAME":"GSE2706_R848_VS_R848_AND_LPS_2H_STIM_DC_UP","SYSTEMATIC_NAME":"M4714","ORGANISM":"Homo sapiens","PMID":"15995707","AUTHORS":"Napolitani G,Rinaldi A,Bertoni F,Sallusto F,Lanzavecchia A.","GEOID":"GSE2706","EXACT_SOURCE":"GSE2706_1845_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with R848 at 2 h versus DCs stimulated with LPS (TLR4 agonist) and R848 for 2 h.","DESCRIPTION_FULL":"Toll like receptors (TLRs) sense microbial products and initiate adaptive immune responses by activating dendritic cells (DCs). Since pathogens may contain several agonists we asked whether different TLRs may synergize in DC activation. We report that in human and mouse DC TLR3 or TLR4 potently synergize with TLR7, TLR8 or TLR9 in the induction of selected cytokine genes. Upon synergistic stimulation, IL-12, IL-23 and Delta-4 are induced at levels 50-100 fold higher than those induced by optimal concentrations of single agonists, leading to enhanced and sustained TH1 polarizing capacity. Using microarray analysis we show that only 1.5% of the transcripts induced by single TLR agonists are synergistically regulated by combinations of TLR4 and TLR8 agonists. These results identify a combinatorial code by which DCs discriminate pathogens and provide (suggest) a rationale to design adjuvants for TH1 responses. Series_overall_design: 3 untreated, 3 treated with LPS at 2h, 3 treated with LPS at 8h, 3 treated with R848 at 2h, 3 treated with R848 at 8h, 3 treated with LPS + R848 at 2h, 3 treated with LPS + R848 at 8h"}
{"STANDARD_NAME":"GSE2706_R848_VS_R848_AND_LPS_2H_STIM_DC_DN","SYSTEMATIC_NAME":"M4715","ORGANISM":"Homo sapiens","PMID":"15995707","AUTHORS":"Napolitani G,Rinaldi A,Bertoni F,Sallusto F,Lanzavecchia A.","GEOID":"GSE2706","EXACT_SOURCE":"GSE2706_1845_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with R848 at 2 h versus DCs stimulated with LPS (TLR4 agonist) and R848 for 2 h.","DESCRIPTION_FULL":"Toll like receptors (TLRs) sense microbial products and initiate adaptive immune responses by activating dendritic cells (DCs). Since pathogens may contain several agonists we asked whether different TLRs may synergize in DC activation. We report that in human and mouse DC TLR3 or TLR4 potently synergize with TLR7, TLR8 or TLR9 in the induction of selected cytokine genes. Upon synergistic stimulation, IL-12, IL-23 and Delta-4 are induced at levels 50-100 fold higher than those induced by optimal concentrations of single agonists, leading to enhanced and sustained TH1 polarizing capacity. Using microarray analysis we show that only 1.5% of the transcripts induced by single TLR agonists are synergistically regulated by combinations of TLR4 and TLR8 agonists. These results identify a combinatorial code by which DCs discriminate pathogens and provide (suggest) a rationale to design adjuvants for TH1 responses. Series_overall_design: 3 untreated, 3 treated with LPS at 2h, 3 treated with LPS at 8h, 3 treated with R848 at 2h, 3 treated with R848 at 8h, 3 treated with LPS + R848 at 2h, 3 treated with LPS + R848 at 8h"}
{"STANDARD_NAME":"GSE2706_R848_VS_R848_AND_LPS_8H_STIM_DC_UP","SYSTEMATIC_NAME":"M4719","ORGANISM":"Homo sapiens","PMID":"15995707","AUTHORS":"Napolitani G,Rinaldi A,Bertoni F,Sallusto F,Lanzavecchia A.","GEOID":"GSE2706","EXACT_SOURCE":"GSE2706_1846_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with R848 at 8 h versus DCs stimulated with LPS (TLR4 agonist) and R848 for 8 h.","DESCRIPTION_FULL":"Toll like receptors (TLRs) sense microbial products and initiate adaptive immune responses by activating dendritic cells (DCs). Since pathogens may contain several agonists we asked whether different TLRs may synergize in DC activation. We report that in human and mouse DC TLR3 or TLR4 potently synergize with TLR7, TLR8 or TLR9 in the induction of selected cytokine genes. Upon synergistic stimulation, IL-12, IL-23 and Delta-4 are induced at levels 50-100 fold higher than those induced by optimal concentrations of single agonists, leading to enhanced and sustained TH1 polarizing capacity. Using microarray analysis we show that only 1.5% of the transcripts induced by single TLR agonists are synergistically regulated by combinations of TLR4 and TLR8 agonists. These results identify a combinatorial code by which DCs discriminate pathogens and provide (suggest) a rationale to design adjuvants for TH1 responses. Series_overall_design: 3 untreated, 3 treated with LPS at 2h, 3 treated with LPS at 8h, 3 treated with R848 at 2h, 3 treated with R848 at 8h, 3 treated with LPS + R848 at 2h, 3 treated with LPS + R848 at 8h"}
{"STANDARD_NAME":"GSE2706_R848_VS_R848_AND_LPS_8H_STIM_DC_DN","SYSTEMATIC_NAME":"M4720","ORGANISM":"Homo sapiens","PMID":"15995707","AUTHORS":"Napolitani G,Rinaldi A,Bertoni F,Sallusto F,Lanzavecchia A.","GEOID":"GSE2706","EXACT_SOURCE":"GSE2706_1846_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with R848 at 8 h versus DCs stimulated with LPS (TLR4 agonist) and R848 for 8 h.","DESCRIPTION_FULL":"Toll like receptors (TLRs) sense microbial products and initiate adaptive immune responses by activating dendritic cells (DCs). Since pathogens may contain several agonists we asked whether different TLRs may synergize in DC activation. We report that in human and mouse DC TLR3 or TLR4 potently synergize with TLR7, TLR8 or TLR9 in the induction of selected cytokine genes. Upon synergistic stimulation, IL-12, IL-23 and Delta-4 are induced at levels 50-100 fold higher than those induced by optimal concentrations of single agonists, leading to enhanced and sustained TH1 polarizing capacity. Using microarray analysis we show that only 1.5% of the transcripts induced by single TLR agonists are synergistically regulated by combinations of TLR4 and TLR8 agonists. These results identify a combinatorial code by which DCs discriminate pathogens and provide (suggest) a rationale to design adjuvants for TH1 responses. Series_overall_design: 3 untreated, 3 treated with LPS at 2h, 3 treated with LPS at 8h, 3 treated with R848 at 2h, 3 treated with R848 at 8h, 3 treated with LPS + R848 at 2h, 3 treated with LPS + R848 at 8h"}
{"STANDARD_NAME":"GSE2706_LPS_VS_R848_AND_LPS_2H_STIM_DC_UP","SYSTEMATIC_NAME":"M4722","ORGANISM":"Homo sapiens","PMID":"15995707","AUTHORS":"Napolitani G,Rinaldi A,Bertoni F,Sallusto F,Lanzavecchia A.","GEOID":"GSE2706","EXACT_SOURCE":"GSE2706_1847_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 2 h versus DCs stimulated with LPS (TLR4 agonist) and R848 for 2 h.","DESCRIPTION_FULL":"Toll like receptors (TLRs) sense microbial products and initiate adaptive immune responses by activating dendritic cells (DCs). Since pathogens may contain several agonists we asked whether different TLRs may synergize in DC activation. We report that in human and mouse DC TLR3 or TLR4 potently synergize with TLR7, TLR8 or TLR9 in the induction of selected cytokine genes. Upon synergistic stimulation, IL-12, IL-23 and Delta-4 are induced at levels 50-100 fold higher than those induced by optimal concentrations of single agonists, leading to enhanced and sustained TH1 polarizing capacity. Using microarray analysis we show that only 1.5% of the transcripts induced by single TLR agonists are synergistically regulated by combinations of TLR4 and TLR8 agonists. These results identify a combinatorial code by which DCs discriminate pathogens and provide (suggest) a rationale to design adjuvants for TH1 responses. Series_overall_design: 3 untreated, 3 treated with LPS at 2h, 3 treated with LPS at 8h, 3 treated with R848 at 2h, 3 treated with R848 at 8h, 3 treated with LPS + R848 at 2h, 3 treated with LPS + R848 at 8h"}
{"STANDARD_NAME":"GSE2706_LPS_VS_R848_AND_LPS_2H_STIM_DC_DN","SYSTEMATIC_NAME":"M4724","ORGANISM":"Homo sapiens","PMID":"15995707","AUTHORS":"Napolitani G,Rinaldi A,Bertoni F,Sallusto F,Lanzavecchia A.","GEOID":"GSE2706","EXACT_SOURCE":"GSE2706_1847_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 2 h versus DCs stimulated with LPS (TLR4 agonist) and R848 for 2 h.","DESCRIPTION_FULL":"Toll like receptors (TLRs) sense microbial products and initiate adaptive immune responses by activating dendritic cells (DCs). Since pathogens may contain several agonists we asked whether different TLRs may synergize in DC activation. We report that in human and mouse DC TLR3 or TLR4 potently synergize with TLR7, TLR8 or TLR9 in the induction of selected cytokine genes. Upon synergistic stimulation, IL-12, IL-23 and Delta-4 are induced at levels 50-100 fold higher than those induced by optimal concentrations of single agonists, leading to enhanced and sustained TH1 polarizing capacity. Using microarray analysis we show that only 1.5% of the transcripts induced by single TLR agonists are synergistically regulated by combinations of TLR4 and TLR8 agonists. These results identify a combinatorial code by which DCs discriminate pathogens and provide (suggest) a rationale to design adjuvants for TH1 responses. Series_overall_design: 3 untreated, 3 treated with LPS at 2h, 3 treated with LPS at 8h, 3 treated with R848 at 2h, 3 treated with R848 at 8h, 3 treated with LPS + R848 at 2h, 3 treated with LPS + R848 at 8h"}
{"STANDARD_NAME":"GSE2706_LPS_VS_R848_AND_LPS_8H_STIM_DC_UP","SYSTEMATIC_NAME":"M4727","ORGANISM":"Homo sapiens","PMID":"15995707","AUTHORS":"Napolitani G,Rinaldi A,Bertoni F,Sallusto F,Lanzavecchia A.","GEOID":"GSE2706","EXACT_SOURCE":"GSE2706_1848_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 8 h versus DCs stimulated with LPS (TLR4 agonist) and R848 for 8 h.","DESCRIPTION_FULL":"Toll like receptors (TLRs) sense microbial products and initiate adaptive immune responses by activating dendritic cells (DCs). Since pathogens may contain several agonists we asked whether different TLRs may synergize in DC activation. We report that in human and mouse DC TLR3 or TLR4 potently synergize with TLR7, TLR8 or TLR9 in the induction of selected cytokine genes. Upon synergistic stimulation, IL-12, IL-23 and Delta-4 are induced at levels 50-100 fold higher than those induced by optimal concentrations of single agonists, leading to enhanced and sustained TH1 polarizing capacity. Using microarray analysis we show that only 1.5% of the transcripts induced by single TLR agonists are synergistically regulated by combinations of TLR4 and TLR8 agonists. These results identify a combinatorial code by which DCs discriminate pathogens and provide (suggest) a rationale to design adjuvants for TH1 responses. Series_overall_design: 3 untreated, 3 treated with LPS at 2h, 3 treated with LPS at 8h, 3 treated with R848 at 2h, 3 treated with R848 at 8h, 3 treated with LPS + R848 at 2h, 3 treated with LPS + R848 at 8h"}
{"STANDARD_NAME":"GSE2706_LPS_VS_R848_AND_LPS_8H_STIM_DC_DN","SYSTEMATIC_NAME":"M4728","ORGANISM":"Homo sapiens","PMID":"15995707","AUTHORS":"Napolitani G,Rinaldi A,Bertoni F,Sallusto F,Lanzavecchia A.","GEOID":"GSE2706","EXACT_SOURCE":"GSE2706_1848_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 8 h versus DCs stimulated with LPS (TLR4 agonist) and R848 for 8 h.","DESCRIPTION_FULL":"Toll like receptors (TLRs) sense microbial products and initiate adaptive immune responses by activating dendritic cells (DCs). Since pathogens may contain several agonists we asked whether different TLRs may synergize in DC activation. We report that in human and mouse DC TLR3 or TLR4 potently synergize with TLR7, TLR8 or TLR9 in the induction of selected cytokine genes. Upon synergistic stimulation, IL-12, IL-23 and Delta-4 are induced at levels 50-100 fold higher than those induced by optimal concentrations of single agonists, leading to enhanced and sustained TH1 polarizing capacity. Using microarray analysis we show that only 1.5% of the transcripts induced by single TLR agonists are synergistically regulated by combinations of TLR4 and TLR8 agonists. These results identify a combinatorial code by which DCs discriminate pathogens and provide (suggest) a rationale to design adjuvants for TH1 responses. Series_overall_design: 3 untreated, 3 treated with LPS at 2h, 3 treated with LPS at 8h, 3 treated with R848 at 2h, 3 treated with R848 at 8h, 3 treated with LPS + R848 at 2h, 3 treated with LPS + R848 at 8h"}
{"STANDARD_NAME":"GSE2706_2H_VS_8H_R848_STIM_DC_UP","SYSTEMATIC_NAME":"M4729","ORGANISM":"Homo sapiens","PMID":"15995707","AUTHORS":"Napolitani G,Rinaldi A,Bertoni F,Sallusto F,Lanzavecchia A.","GEOID":"GSE2706","EXACT_SOURCE":"GSE2706_1849_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with R848 at 2 h versus DCs stimulatd with R848 for 8 h.","DESCRIPTION_FULL":"Toll like receptors (TLRs) sense microbial products and initiate adaptive immune responses by activating dendritic cells (DCs). Since pathogens may contain several agonists we asked whether different TLRs may synergize in DC activation. We report that in human and mouse DC TLR3 or TLR4 potently synergize with TLR7, TLR8 or TLR9 in the induction of selected cytokine genes. Upon synergistic stimulation, IL-12, IL-23 and Delta-4 are induced at levels 50-100 fold higher than those induced by optimal concentrations of single agonists, leading to enhanced and sustained TH1 polarizing capacity. Using microarray analysis we show that only 1.5% of the transcripts induced by single TLR agonists are synergistically regulated by combinations of TLR4 and TLR8 agonists. These results identify a combinatorial code by which DCs discriminate pathogens and provide (suggest) a rationale to design adjuvants for TH1 responses. Series_overall_design: 3 untreated, 3 treated with LPS at 2h, 3 treated with LPS at 8h, 3 treated with R848 at 2h, 3 treated with R848 at 8h, 3 treated with LPS + R848 at 2h, 3 treated with LPS + R848 at 8h"}
{"STANDARD_NAME":"GSE2706_2H_VS_8H_R848_STIM_DC_DN","SYSTEMATIC_NAME":"M4730","ORGANISM":"Homo sapiens","PMID":"15995707","AUTHORS":"Napolitani G,Rinaldi A,Bertoni F,Sallusto F,Lanzavecchia A.","GEOID":"GSE2706","EXACT_SOURCE":"GSE2706_1849_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with R848 at 2 h versus DCs stimulatd with R848 for 8 h.","DESCRIPTION_FULL":"Toll like receptors (TLRs) sense microbial products and initiate adaptive immune responses by activating dendritic cells (DCs). Since pathogens may contain several agonists we asked whether different TLRs may synergize in DC activation. We report that in human and mouse DC TLR3 or TLR4 potently synergize with TLR7, TLR8 or TLR9 in the induction of selected cytokine genes. Upon synergistic stimulation, IL-12, IL-23 and Delta-4 are induced at levels 50-100 fold higher than those induced by optimal concentrations of single agonists, leading to enhanced and sustained TH1 polarizing capacity. Using microarray analysis we show that only 1.5% of the transcripts induced by single TLR agonists are synergistically regulated by combinations of TLR4 and TLR8 agonists. These results identify a combinatorial code by which DCs discriminate pathogens and provide (suggest) a rationale to design adjuvants for TH1 responses. Series_overall_design: 3 untreated, 3 treated with LPS at 2h, 3 treated with LPS at 8h, 3 treated with R848 at 2h, 3 treated with R848 at 8h, 3 treated with LPS + R848 at 2h, 3 treated with LPS + R848 at 8h"}
{"STANDARD_NAME":"GSE2706_2H_VS_8H_LPS_STIM_DC_UP","SYSTEMATIC_NAME":"M4731","ORGANISM":"Homo sapiens","PMID":"15995707","AUTHORS":"Napolitani G,Rinaldi A,Bertoni F,Sallusto F,Lanzavecchia A.","GEOID":"GSE2706","EXACT_SOURCE":"GSE2706_1850_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 2 h versus DCs stimulated with LPS (TLR4 agonist) at 8 h.","DESCRIPTION_FULL":"Toll like receptors (TLRs) sense microbial products and initiate adaptive immune responses by activating dendritic cells (DCs). Since pathogens may contain several agonists we asked whether different TLRs may synergize in DC activation. We report that in human and mouse DC TLR3 or TLR4 potently synergize with TLR7, TLR8 or TLR9 in the induction of selected cytokine genes. Upon synergistic stimulation, IL-12, IL-23 and Delta-4 are induced at levels 50-100 fold higher than those induced by optimal concentrations of single agonists, leading to enhanced and sustained TH1 polarizing capacity. Using microarray analysis we show that only 1.5% of the transcripts induced by single TLR agonists are synergistically regulated by combinations of TLR4 and TLR8 agonists. These results identify a combinatorial code by which DCs discriminate pathogens and provide (suggest) a rationale to design adjuvants for TH1 responses. Series_overall_design: 3 untreated, 3 treated with LPS at 2h, 3 treated with LPS at 8h, 3 treated with R848 at 2h, 3 treated with R848 at 8h, 3 treated with LPS + R848 at 2h, 3 treated with LPS + R848 at 8h"}
{"STANDARD_NAME":"GSE2706_2H_VS_8H_LPS_STIM_DC_DN","SYSTEMATIC_NAME":"M4733","ORGANISM":"Homo sapiens","PMID":"15995707","AUTHORS":"Napolitani G,Rinaldi A,Bertoni F,Sallusto F,Lanzavecchia A.","GEOID":"GSE2706","EXACT_SOURCE":"GSE2706_1850_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 2 h versus DCs stimulated with LPS (TLR4 agonist) at 8 h.","DESCRIPTION_FULL":"Toll like receptors (TLRs) sense microbial products and initiate adaptive immune responses by activating dendritic cells (DCs). Since pathogens may contain several agonists we asked whether different TLRs may synergize in DC activation. We report that in human and mouse DC TLR3 or TLR4 potently synergize with TLR7, TLR8 or TLR9 in the induction of selected cytokine genes. Upon synergistic stimulation, IL-12, IL-23 and Delta-4 are induced at levels 50-100 fold higher than those induced by optimal concentrations of single agonists, leading to enhanced and sustained TH1 polarizing capacity. Using microarray analysis we show that only 1.5% of the transcripts induced by single TLR agonists are synergistically regulated by combinations of TLR4 and TLR8 agonists. These results identify a combinatorial code by which DCs discriminate pathogens and provide (suggest) a rationale to design adjuvants for TH1 responses. Series_overall_design: 3 untreated, 3 treated with LPS at 2h, 3 treated with LPS at 8h, 3 treated with R848 at 2h, 3 treated with R848 at 8h, 3 treated with LPS + R848 at 2h, 3 treated with LPS + R848 at 8h"}
{"STANDARD_NAME":"GSE2706_2H_VS_8H_R848_AND_LPS_STIM_DC_UP","SYSTEMATIC_NAME":"M4736","ORGANISM":"Homo sapiens","PMID":"15995707","AUTHORS":"Napolitani G,Rinaldi A,Bertoni F,Sallusto F,Lanzavecchia A.","GEOID":"GSE2706","EXACT_SOURCE":"GSE2706_1851_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with R848 at 2 h versus DCs stimulated with LPS (TLR4 agonist) at 8 h.","DESCRIPTION_FULL":"Toll like receptors (TLRs) sense microbial products and initiate adaptive immune responses by activating dendritic cells (DCs). Since pathogens may contain several agonists we asked whether different TLRs may synergize in DC activation. We report that in human and mouse DC TLR3 or TLR4 potently synergize with TLR7, TLR8 or TLR9 in the induction of selected cytokine genes. Upon synergistic stimulation, IL-12, IL-23 and Delta-4 are induced at levels 50-100 fold higher than those induced by optimal concentrations of single agonists, leading to enhanced and sustained TH1 polarizing capacity. Using microarray analysis we show that only 1.5% of the transcripts induced by single TLR agonists are synergistically regulated by combinations of TLR4 and TLR8 agonists. These results identify a combinatorial code by which DCs discriminate pathogens and provide (suggest) a rationale to design adjuvants for TH1 responses. Series_overall_design: 3 untreated, 3 treated with LPS at 2h, 3 treated with LPS at 8h, 3 treated with R848 at 2h, 3 treated with R848 at 8h, 3 treated with LPS + R848 at 2h, 3 treated with LPS + R848 at 8h"}
{"STANDARD_NAME":"GSE2706_2H_VS_8H_R848_AND_LPS_STIM_DC_DN","SYSTEMATIC_NAME":"M4738","ORGANISM":"Homo sapiens","PMID":"15995707","AUTHORS":"Napolitani G,Rinaldi A,Bertoni F,Sallusto F,Lanzavecchia A.","GEOID":"GSE2706","EXACT_SOURCE":"GSE2706_1851_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with R848 at 2 h versus DCs stimulated with LPS (TLR4 agonist) at 8 h.","DESCRIPTION_FULL":"Toll like receptors (TLRs) sense microbial products and initiate adaptive immune responses by activating dendritic cells (DCs). Since pathogens may contain several agonists we asked whether different TLRs may synergize in DC activation. We report that in human and mouse DC TLR3 or TLR4 potently synergize with TLR7, TLR8 or TLR9 in the induction of selected cytokine genes. Upon synergistic stimulation, IL-12, IL-23 and Delta-4 are induced at levels 50-100 fold higher than those induced by optimal concentrations of single agonists, leading to enhanced and sustained TH1 polarizing capacity. Using microarray analysis we show that only 1.5% of the transcripts induced by single TLR agonists are synergistically regulated by combinations of TLR4 and TLR8 agonists. These results identify a combinatorial code by which DCs discriminate pathogens and provide (suggest) a rationale to design adjuvants for TH1 responses. Series_overall_design: 3 untreated, 3 treated with LPS at 2h, 3 treated with LPS at 8h, 3 treated with R848 at 2h, 3 treated with R848 at 8h, 3 treated with LPS + R848 at 2h, 3 treated with LPS + R848 at 8h"}
{"STANDARD_NAME":"GSE27786_LSK_VS_LIN_NEG_CELL_UP","SYSTEMATIC_NAME":"M4739","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2082_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of LSK versus lineage negative cells.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_LSK_VS_LIN_NEG_CELL_DN","SYSTEMATIC_NAME":"M4742","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2082_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of LSK versus lineage negative cells.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_LSK_VS_BCELL_UP","SYSTEMATIC_NAME":"M4743","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2083_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of LSK versus B cells.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_LSK_VS_BCELL_DN","SYSTEMATIC_NAME":"M4744","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2083_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of LSK versus B cells.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_LSK_VS_CD4_TCELL_UP","SYSTEMATIC_NAME":"M4745","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2084_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of LSK versus CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_LSK_VS_CD4_TCELL_DN","SYSTEMATIC_NAME":"M4747","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2084_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of LSK versus CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_LSK_VS_CD8_TCELL_UP","SYSTEMATIC_NAME":"M4749","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2085_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulatd in comparison of LSK versus CD8 T cells.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_LSK_VS_CD8_TCELL_DN","SYSTEMATIC_NAME":"M4750","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2085_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulatd in comparison of LSK versus CD8 T cells.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_LSK_VS_NKCELL_UP","SYSTEMATIC_NAME":"M4751","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2086_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of LSK versus NK cells.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_LSK_VS_NKCELL_DN","SYSTEMATIC_NAME":"M4753","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2086_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of LSK versus NK cells.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_LSK_VS_NKTCELL_UP","SYSTEMATIC_NAME":"M4754","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2087_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of LSK versus NKT cells.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_LSK_VS_NKTCELL_DN","SYSTEMATIC_NAME":"M4756","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2087_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of LSK versus NKT cells.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_LSK_VS_ERYTHROBLAST_UP","SYSTEMATIC_NAME":"M4757","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2088_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of LSK versus erythroblasts.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_LSK_VS_ERYTHROBLAST_DN","SYSTEMATIC_NAME":"M4759","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2088_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of LSK versus erythroblasts.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_LSK_VS_NEUTROPHIL_UP","SYSTEMATIC_NAME":"M4760","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2089_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of LSK versus neutrophils.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_LSK_VS_NEUTROPHIL_DN","SYSTEMATIC_NAME":"M4761","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2089_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of LSK versus neutrophils.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_LSK_VS_MONO_MAC_UP","SYSTEMATIC_NAME":"M4763","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2090_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of LSK versus monocyte macrophages.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_LSK_VS_MONO_MAC_DN","SYSTEMATIC_NAME":"M4765","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2090_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of LSK versus monocyte macrophages.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_LIN_NEG_VS_BCELL_UP","SYSTEMATIC_NAME":"M4766","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2091_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of lineage negative versus B cells.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_LIN_NEG_VS_BCELL_DN","SYSTEMATIC_NAME":"M4768","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2091_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of lineage negative versus B cells.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_LIN_NEG_VS_CD4_TCELL_UP","SYSTEMATIC_NAME":"M4769","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2092_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of lineage negative versus CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_LIN_NEG_VS_CD4_TCELL_DN","SYSTEMATIC_NAME":"M4773","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2092_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of lineage negative versus CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_LIN_NEG_VS_CD8_TCELL_UP","SYSTEMATIC_NAME":"M4775","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2093_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of lineage negative versus CD8 T cells.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_LIN_NEG_VS_CD8_TCELL_DN","SYSTEMATIC_NAME":"M4777","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2093_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of lineage negative versus CD8 T cells.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_LIN_NEG_VS_NKCELL_UP","SYSTEMATIC_NAME":"M4783","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2094_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of lineage negative versus NK cells.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_LIN_NEG_VS_NKCELL_DN","SYSTEMATIC_NAME":"M4784","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2094_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of lineage negative versus NK cells.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_LIN_NEG_VS_NKTCELL_UP","SYSTEMATIC_NAME":"M4787","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2095_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of lineage negative versus NKT cells.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_LIN_NEG_VS_NKTCELL_DN","SYSTEMATIC_NAME":"M4788","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2095_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of lineage negative versus NKT cells.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_LIN_NEG_VS_ERYTHROBLAST_UP","SYSTEMATIC_NAME":"M4790","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2096_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of lineage negative versus erythroblasts.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_LIN_NEG_VS_ERYTHROBLAST_DN","SYSTEMATIC_NAME":"M4793","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2096_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of lineage negative versus erythroblasts.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_LIN_NEG_VS_NEUTROPHIL_UP","SYSTEMATIC_NAME":"M4794","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2097_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of lineage negative versus neutrophils.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_LIN_NEG_VS_NEUTROPHIL_DN","SYSTEMATIC_NAME":"M4795","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2097_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of lineage negative versus neutrophils.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_LIN_NEG_VS_MONO_MAC_UP","SYSTEMATIC_NAME":"M4796","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2098_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of lineage negative versus monocyte macrophages.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_LIN_NEG_VS_MONO_MAC_DN","SYSTEMATIC_NAME":"M4798","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2098_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of lineage negative versus monocyte macrophages.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_BCELL_VS_CD4_TCELL_UP","SYSTEMATIC_NAME":"M4799","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2099_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of B cells versus CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_BCELL_VS_CD4_TCELL_DN","SYSTEMATIC_NAME":"M4800","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2099_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of B cells versus CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_BCELL_VS_CD8_TCELL_UP","SYSTEMATIC_NAME":"M4801","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2100_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of B cells versus CD8 T cells.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_BCELL_VS_CD8_TCELL_DN","SYSTEMATIC_NAME":"M4802","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2100_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of B cells versus CD8 T cells.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_BCELL_VS_NKCELL_UP","SYSTEMATIC_NAME":"M4805","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2101_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of B cells versus NK cells.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_BCELL_VS_NKCELL_DN","SYSTEMATIC_NAME":"M4806","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2101_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of B cells versus NK cells.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_BCELL_VS_NKTCELL_UP","SYSTEMATIC_NAME":"M4808","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2102_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of B cells versus NKT cells.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_BCELL_VS_NKTCELL_DN","SYSTEMATIC_NAME":"M4809","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2102_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of B cells versus NKT cells.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_BCELL_VS_ERYTHROBLAST_UP","SYSTEMATIC_NAME":"M4810","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2103_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of B cells versus erythroblasts.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_BCELL_VS_ERYTHROBLAST_DN","SYSTEMATIC_NAME":"M4811","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2103_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of B cells versus erythroblasts.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_BCELL_VS_NEUTROPHIL_UP","SYSTEMATIC_NAME":"M4813","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2104_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of B cells versus neutrophils.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_BCELL_VS_NEUTROPHIL_DN","SYSTEMATIC_NAME":"M4816","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2104_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of B cells versus neutrophils.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_BCELL_VS_MONO_MAC_UP","SYSTEMATIC_NAME":"M4817","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2105_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of B cells versus monocyte macrophages.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_BCELL_VS_MONO_MAC_DN","SYSTEMATIC_NAME":"M4818","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2105_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of B cells versus monocyte macrophages.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_CD4_VS_CD8_TCELL_UP","SYSTEMATIC_NAME":"M4819","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2106_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD4 [GeneID=920] T cells versus CD8 T cells.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_CD4_VS_CD8_TCELL_DN","SYSTEMATIC_NAME":"M4821","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2106_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD4 [GeneID=920] T cells versus CD8 T cells.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_CD4_TCELL_VS_NKCELL_UP","SYSTEMATIC_NAME":"M4822","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2107_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD4 [GeneID=920] T cells versus NK cells.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_CD4_TCELL_VS_NKCELL_DN","SYSTEMATIC_NAME":"M4823","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2107_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD4 [GeneID=920] T cells versus NK cells.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_CD4_TCELL_VS_NKTCELL_UP","SYSTEMATIC_NAME":"M4824","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2108_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD4 [GeneID=920] T cells versus NKT cells.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_CD4_TCELL_VS_NKTCELL_DN","SYSTEMATIC_NAME":"M4825","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2108_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD4 [GeneID=920] T cells versus NKT cells.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_CD4_TCELL_VS_ERYTHTROBLAST_UP","SYSTEMATIC_NAME":"M4827","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2109_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD4 [GeneID=920] T cells versus erythroblasts.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_CD4_TCELL_VS_ERYTHTROBLAST_DN","SYSTEMATIC_NAME":"M4828","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2109_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD4 [GeneID=920] T cells versus erythroblasts.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_CD4_TCELL_VS_NEUTROPHIL_UP","SYSTEMATIC_NAME":"M4830","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2110_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD4 [GeneID=920] T cells versus neutrophils.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_CD4_TCELL_VS_NEUTROPHIL_DN","SYSTEMATIC_NAME":"M4832","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2110_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD4 [GeneID=920] T cells versus neutrophils.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_CD4_TCELL_VS_MONO_MAC_UP","SYSTEMATIC_NAME":"M4833","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2111_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD4 [GeneID=920] T cells versus monocyte macrophages.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_CD4_TCELL_VS_MONO_MAC_DN","SYSTEMATIC_NAME":"M4834","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2111_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD4 [GeneID=920] T cells versus monocyte macrophages.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_CD8_TCELL_VS_NKCELL_UP","SYSTEMATIC_NAME":"M4836","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2112_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD8 T cells versus NK cells.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_CD8_TCELL_VS_NKCELL_DN","SYSTEMATIC_NAME":"M4838","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2112_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD8 T cells versus NK cells.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_CD8_TCELL_VS_NKTCELL_UP","SYSTEMATIC_NAME":"M4839","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2113_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD8 T cells versus NKT cells.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_CD8_TCELL_VS_NKTCELL_DN","SYSTEMATIC_NAME":"M4840","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2113_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD8 T cells versus NKT cells.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_CD8_TCELL_VS_ERYTHROBLAST_UP","SYSTEMATIC_NAME":"M4841","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2114_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD8 T cells versus erythroblasts.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_CD8_TCELL_VS_ERYTHROBLAST_DN","SYSTEMATIC_NAME":"M4845","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2114_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD8 T cells versus erythroblasts.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_CD8_TCELL_VS_NEUTROPHIL_UP","SYSTEMATIC_NAME":"M4846","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2115_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD8 T cells versus neutrophils.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_CD8_TCELL_VS_NEUTROPHIL_DN","SYSTEMATIC_NAME":"M4847","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2115_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD8 T cells versus neutrophils.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_CD8_TCELL_VS_MONO_MAC_UP","SYSTEMATIC_NAME":"M4848","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2116_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD8 T cells versus monocyte macrophages.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_CD8_TCELL_VS_MONO_MAC_DN","SYSTEMATIC_NAME":"M4849","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2116_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD8 T cells versus monocyte macrophages.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_NKCELL_VS_NKTCELL_UP","SYSTEMATIC_NAME":"M4851","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2117_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of NK cells versus NKT cells.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_NKCELL_VS_NKTCELL_DN","SYSTEMATIC_NAME":"M4852","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2117_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of NK cells versus NKT cells.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_NKCELL_VS_ERYTHROBLAST_UP","SYSTEMATIC_NAME":"M4853","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2118_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of NK cells versus erythroblasts.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_NKCELL_VS_ERYTHROBLAST_DN","SYSTEMATIC_NAME":"M4854","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2118_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of NK cells versus erythroblasts.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_NKCELL_VS_NEUTROPHIL_UP","SYSTEMATIC_NAME":"M4858","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2119_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of NK cells versus neutrophils.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_NKCELL_VS_NEUTROPHIL_DN","SYSTEMATIC_NAME":"M4859","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2119_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of NK cells versus neutrophils.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_NKCELL_VS_MONO_MAC_UP","SYSTEMATIC_NAME":"M4860","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2120_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of NK cells versus monocyte macrophages.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_NKCELL_VS_MONO_MAC_DN","SYSTEMATIC_NAME":"M4863","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2120_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of NK cells versus monocyte macrophages.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_NKTCELL_VS_ERYTHROBLAST_UP","SYSTEMATIC_NAME":"M4865","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2121_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of NKT cells versus erythroblasts.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_NKTCELL_VS_ERYTHROBLAST_DN","SYSTEMATIC_NAME":"M4867","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2121_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of NKT cells versus erythroblasts.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_NKTCELL_VS_NEUTROPHIL_UP","SYSTEMATIC_NAME":"M4868","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2122_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of NKT cells versus neutrophils.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_NKTCELL_VS_NEUTROPHIL_DN","SYSTEMATIC_NAME":"M4869","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2122_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of NKT cells versus neutrophils.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_NKTCELL_VS_MONO_MAC_UP","SYSTEMATIC_NAME":"M4870","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2123_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of NKT cells versus monocyte macrophages.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_NKTCELL_VS_MONO_MAC_DN","SYSTEMATIC_NAME":"M4871","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2123_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of NKT cells versus monocyte macrophages.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_ERYTHROBLAST_VS_NEUTROPHIL_UP","SYSTEMATIC_NAME":"M4875","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2124_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of erythroblasts versus neutrophils.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_ERYTHROBLAST_VS_NEUTROPHIL_DN","SYSTEMATIC_NAME":"M4876","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2124_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of erythroblasts versus neutrophils.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_ERYTHROBLAST_VS_MONO_MAC_UP","SYSTEMATIC_NAME":"M4877","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2125_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of erythroblasts versus monocyte macrophages.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_ERYTHROBLAST_VS_MONO_MAC_DN","SYSTEMATIC_NAME":"M4878","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2125_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of erythroblasts versus monocyte macrophages.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_NEUTROPHIL_VS_MONO_MAC_UP","SYSTEMATIC_NAME":"M4880","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2126_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of neutrophils versus monocyte macrophages.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE27786_NEUTROPHIL_VS_MONO_MAC_DN","SYSTEMATIC_NAME":"M4883","ORGANISM":"Mus musculus","PMID":"21540074","AUTHORS":"Konuma T,Nakamura S,Miyagi S,Negishi M,Chiba T,Oguro H,Yuan J,Mochizuki-Kashio M,Ichikawa H,Miyoshi H,Vidal M,Iwama A.","GEOID":"GSE27786","EXACT_SOURCE":"GSE27786_2126_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of neutrophils versus monocyte macrophages.","DESCRIPTION_FULL":"Each fraction of mouse hematopoietic cells was purified by cell sorting from bone marrow of 8-week-old C57BL/6 mice, and its gene expression was analyzed."}
{"STANDARD_NAME":"GSE28237_FOLLICULAR_VS_EARLY_GC_BCELL_UP","SYSTEMATIC_NAME":"M4884","ORGANISM":"Mus musculus","PMID":"20518031","AUTHORS":"Wilke G,Steinhauser G,Grün J,Berek C","GEOID":"GSE28237","EXACT_SOURCE":"GSE28237_1750_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive follicular B cells versus early germinal center (GC) B cells.","DESCRIPTION_FULL":"Upon immunization with a T cell dependent antigen naive follicular B cells (Fo) are activated and a germinal center reaction is induced. Within the next 2 weeks large germinal centers develop where the process of affinity maturation takes place. To analyze the gene expression profile of resting and activated B cells, follicular B cells (Fo), B cells from early (GC1) and late germinal centers (GC2) were isolated and their gene expression profile compared."}
{"STANDARD_NAME":"GSE28237_FOLLICULAR_VS_EARLY_GC_BCELL_DN","SYSTEMATIC_NAME":"M4885","ORGANISM":"Mus musculus","PMID":"20518031","AUTHORS":"Wilke G,Steinhauser G,Grün J,Berek C","GEOID":"GSE28237","EXACT_SOURCE":"GSE28237_1750_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive follicular B cells versus early germinal center (GC) B cells.","DESCRIPTION_FULL":"Upon immunization with a T cell dependent antigen naive follicular B cells (Fo) are activated and a germinal center reaction is induced. Within the next 2 weeks large germinal centers develop where the process of affinity maturation takes place. To analyze the gene expression profile of resting and activated B cells, follicular B cells (Fo), B cells from early (GC1) and late germinal centers (GC2) were isolated and their gene expression profile compared."}
{"STANDARD_NAME":"GSE28237_FOLLICULAR_VS_LATE_GC_BCELL_UP","SYSTEMATIC_NAME":"M4886","ORGANISM":"Mus musculus","PMID":"20518031","AUTHORS":"Wilke G,Steinhauser G,Grün J,Berek C","GEOID":"GSE28237","EXACT_SOURCE":"GSE28237_1751_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of follicular B cells versus late germinal center (GC) B cells.","DESCRIPTION_FULL":"Upon immunization with a T cell dependent antigen naive follicular B cells (Fo) are activated and a germinal center reaction is induced. Within the next 2 weeks large germinal centers develop where the process of affinity maturation takes place. To analyze the gene expression profile of resting and activated B cells, follicular B cells (Fo), B cells from early (GC1) and late germinal centers (GC2) were isolated and their gene expression profile compared."}
{"STANDARD_NAME":"GSE28237_FOLLICULAR_VS_LATE_GC_BCELL_DN","SYSTEMATIC_NAME":"M4889","ORGANISM":"Mus musculus","PMID":"20518031","AUTHORS":"Wilke G,Steinhauser G,Grün J,Berek C","GEOID":"GSE28237","EXACT_SOURCE":"GSE28237_1751_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of follicular B cells versus late germinal center (GC) B cells.","DESCRIPTION_FULL":"Upon immunization with a T cell dependent antigen naive follicular B cells (Fo) are activated and a germinal center reaction is induced. Within the next 2 weeks large germinal centers develop where the process of affinity maturation takes place. To analyze the gene expression profile of resting and activated B cells, follicular B cells (Fo), B cells from early (GC1) and late germinal centers (GC2) were isolated and their gene expression profile compared."}
{"STANDARD_NAME":"GSE28237_EARLY_VS_LATE_GC_BCELL_UP","SYSTEMATIC_NAME":"M4893","ORGANISM":"Mus musculus","PMID":"20518031","AUTHORS":"Wilke G,Steinhauser G,Grün J,Berek C","GEOID":"GSE28237","EXACT_SOURCE":"GSE28237_1752_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of early germinal center (GC) B cells versus late GC B cells.","DESCRIPTION_FULL":"Upon immunization with a T cell dependent antigen naive follicular B cells (Fo) are activated and a germinal center reaction is induced. Within the next 2 weeks large germinal centers develop where the process of affinity maturation takes place. To analyze the gene expression profile of resting and activated B cells, follicular B cells (Fo), B cells from early (GC1) and late germinal centers (GC2) were isolated and their gene expression profile compared."}
{"STANDARD_NAME":"GSE28237_EARLY_VS_LATE_GC_BCELL_DN","SYSTEMATIC_NAME":"M4894","ORGANISM":"Mus musculus","PMID":"20518031","AUTHORS":"Wilke G,Steinhauser G,Grün J,Berek C","GEOID":"GSE28237","EXACT_SOURCE":"GSE28237_1752_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of early germinal center (GC) B cells versus late GC B cells.","DESCRIPTION_FULL":"Upon immunization with a T cell dependent antigen naive follicular B cells (Fo) are activated and a germinal center reaction is induced. Within the next 2 weeks large germinal centers develop where the process of affinity maturation takes place. To analyze the gene expression profile of resting and activated B cells, follicular B cells (Fo), B cells from early (GC1) and late germinal centers (GC2) were isolated and their gene expression profile compared."}
{"STANDARD_NAME":"GSE2826_WT_VS_XID_BCELL_UP","SYSTEMATIC_NAME":"M4895","ORGANISM":"Mus musculus","PMID":"15214046","AUTHORS":"Lindvall JM,Blomberg KE,Berglöf A,Yang Q,Smith CI,Islam TC","GEOID":"GSE2826","EXACT_SOURCE":"GSE2826_1718_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of primary splenic B cells from wild type mice versus those from Xid mice.","DESCRIPTION_FULL":"Bruton's tyrosine kinase (Btk) is important for B lymphocyte development. To identify genes that are differentially expressed in primary B cells lacking functional Btk, splenocytes from X-linked immunodeficiency (Xid), Btk knockout (KO) and immunocompetent CBA mice, were used in microarrays containing more than 12,000 genes and expressed sequence tags (ESTs). We found 4515 transcripts expressed in duplicate experiments in all three strains. Out of these, 38 were differentially expressed genes (21 up-regulated >2 fold and 17 down-regulated <-2 fold) between CBA and Btk defective mice. Ten out of these genes were selected and quantitative Real-Time PCR was conducted for validation and further investigation. Real-Time experiments correlated nicely with the microarray data. No definitive phenotypic difference has previously been reported between Xid and Btk KO mice. We found 7 genes, whose expression differed (>2 fold) between the two strains. Moreover, when the 38 genes, which differed between immunocompetent CBA and Btk defective mice were ranked according to fold-increase, the levels in Btk KO mice were significantly more altered. This suggests that the defect in Btk KO mice is more severe and demonstrates that the mutant Btk protein in Xid mice does not generally function as dominant negative form."}
{"STANDARD_NAME":"GSE2826_WT_VS_XID_BCELL_DN","SYSTEMATIC_NAME":"M4897","ORGANISM":"Mus musculus","PMID":"15214046","AUTHORS":"Lindvall JM,Blomberg KE,Berglöf A,Yang Q,Smith CI,Islam TC","GEOID":"GSE2826","EXACT_SOURCE":"GSE2826_1718_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of primary splenic B cells from wild type mice versus those from Xid mice.","DESCRIPTION_FULL":"Bruton's tyrosine kinase (Btk) is important for B lymphocyte development. To identify genes that are differentially expressed in primary B cells lacking functional Btk, splenocytes from X-linked immunodeficiency (Xid), Btk knockout (KO) and immunocompetent CBA mice, were used in microarrays containing more than 12,000 genes and expressed sequence tags (ESTs). We found 4515 transcripts expressed in duplicate experiments in all three strains. Out of these, 38 were differentially expressed genes (21 up-regulated >2 fold and 17 down-regulated <-2 fold) between CBA and Btk defective mice. Ten out of these genes were selected and quantitative Real-Time PCR was conducted for validation and further investigation. Real-Time experiments correlated nicely with the microarray data. No definitive phenotypic difference has previously been reported between Xid and Btk KO mice. We found 7 genes, whose expression differed (>2 fold) between the two strains. Moreover, when the 38 genes, which differed between immunocompetent CBA and Btk defective mice were ranked according to fold-increase, the levels in Btk KO mice were significantly more altered. This suggests that the defect in Btk KO mice is more severe and demonstrates that the mutant Btk protein in Xid mice does not generally function as dominant negative form."}
{"STANDARD_NAME":"GSE2826_WT_VS_BTK_KO_BCELL_UP","SYSTEMATIC_NAME":"M4898","ORGANISM":"Mus musculus","PMID":"15214046","AUTHORS":"Lindvall JM,Blomberg KE,Berglöf A,Yang Q,Smith CI,Islam TC","GEOID":"GSE2826","EXACT_SOURCE":"GSE2826_1719_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of primary splenic B cells from wild type mice versus those from BTK [GeneID=695] knockout mice.","DESCRIPTION_FULL":"Bruton's tyrosine kinase (Btk) is important for B lymphocyte development. To identify genes that are differentially expressed in primary B cells lacking functional Btk, splenocytes from X-linked immunodeficiency (Xid), Btk knockout (KO) and immunocompetent CBA mice, were used in microarrays containing more than 12,000 genes and expressed sequence tags (ESTs). We found 4515 transcripts expressed in duplicate experiments in all three strains. Out of these, 38 were differentially expressed genes (21 up-regulated >2 fold and 17 down-regulated <-2 fold) between CBA and Btk defective mice. Ten out of these genes were selected and quantitative Real-Time PCR was conducted for validation and further investigation. Real-Time experiments correlated nicely with the microarray data. No definitive phenotypic difference has previously been reported between Xid and Btk KO mice. We found 7 genes, whose expression differed (>2 fold) between the two strains. Moreover, when the 38 genes, which differed between immunocompetent CBA and Btk defective mice were ranked according to fold-increase, the levels in Btk KO mice were significantly more altered. This suggests that the defect in Btk KO mice is more severe and demonstrates that the mutant Btk protein in Xid mice does not generally function as dominant negative form."}
{"STANDARD_NAME":"GSE2826_WT_VS_BTK_KO_BCELL_DN","SYSTEMATIC_NAME":"M4899","ORGANISM":"Mus musculus","PMID":"15214046","AUTHORS":"Lindvall JM,Blomberg KE,Berglöf A,Yang Q,Smith CI,Islam TC","GEOID":"GSE2826","EXACT_SOURCE":"GSE2826_1719_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of primary splenic B cells from wild type mice versus those from BTK [GeneID=695] knockout mice.","DESCRIPTION_FULL":"Bruton's tyrosine kinase (Btk) is important for B lymphocyte development. To identify genes that are differentially expressed in primary B cells lacking functional Btk, splenocytes from X-linked immunodeficiency (Xid), Btk knockout (KO) and immunocompetent CBA mice, were used in microarrays containing more than 12,000 genes and expressed sequence tags (ESTs). We found 4515 transcripts expressed in duplicate experiments in all three strains. Out of these, 38 were differentially expressed genes (21 up-regulated >2 fold and 17 down-regulated <-2 fold) between CBA and Btk defective mice. Ten out of these genes were selected and quantitative Real-Time PCR was conducted for validation and further investigation. Real-Time experiments correlated nicely with the microarray data. No definitive phenotypic difference has previously been reported between Xid and Btk KO mice. We found 7 genes, whose expression differed (>2 fold) between the two strains. Moreover, when the 38 genes, which differed between immunocompetent CBA and Btk defective mice were ranked according to fold-increase, the levels in Btk KO mice were significantly more altered. This suggests that the defect in Btk KO mice is more severe and demonstrates that the mutant Btk protein in Xid mice does not generally function as dominant negative form."}
{"STANDARD_NAME":"GSE2826_XID_VS_BTK_KO_BCELL_UP","SYSTEMATIC_NAME":"M4900","ORGANISM":"Mus musculus","PMID":"15214046","AUTHORS":"Lindvall JM,Blomberg KE,Berglöf A,Yang Q,Smith CI,Islam TC","GEOID":"GSE2826","EXACT_SOURCE":"GSE2826_1720_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of primary splenic B cells from Xid mice versus those from BTK [GeneID=695] knockout mice.","DESCRIPTION_FULL":"Bruton's tyrosine kinase (Btk) is important for B lymphocyte development. To identify genes that are differentially expressed in primary B cells lacking functional Btk, splenocytes from X-linked immunodeficiency (Xid), Btk knockout (KO) and immunocompetent CBA mice, were used in microarrays containing more than 12,000 genes and expressed sequence tags (ESTs). We found 4515 transcripts expressed in duplicate experiments in all three strains. Out of these, 38 were differentially expressed genes (21 up-regulated >2 fold and 17 down-regulated <-2 fold) between CBA and Btk defective mice. Ten out of these genes were selected and quantitative Real-Time PCR was conducted for validation and further investigation. Real-Time experiments correlated nicely with the microarray data. No definitive phenotypic difference has previously been reported between Xid and Btk KO mice. We found 7 genes, whose expression differed (>2 fold) between the two strains. Moreover, when the 38 genes, which differed between immunocompetent CBA and Btk defective mice were ranked according to fold-increase, the levels in Btk KO mice were significantly more altered. This suggests that the defect in Btk KO mice is more severe and demonstrates that the mutant Btk protein in Xid mice does not generally function as dominant negative form."}
{"STANDARD_NAME":"GSE2826_XID_VS_BTK_KO_BCELL_DN","SYSTEMATIC_NAME":"M4901","ORGANISM":"Mus musculus","PMID":"15214046","AUTHORS":"Lindvall JM,Blomberg KE,Berglöf A,Yang Q,Smith CI,Islam TC","GEOID":"GSE2826","EXACT_SOURCE":"GSE2826_1720_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of primary splenic B cells from Xid mice versus those from BTK [GeneID=695] knockout mice.","DESCRIPTION_FULL":"Bruton's tyrosine kinase (Btk) is important for B lymphocyte development. To identify genes that are differentially expressed in primary B cells lacking functional Btk, splenocytes from X-linked immunodeficiency (Xid), Btk knockout (KO) and immunocompetent CBA mice, were used in microarrays containing more than 12,000 genes and expressed sequence tags (ESTs). We found 4515 transcripts expressed in duplicate experiments in all three strains. Out of these, 38 were differentially expressed genes (21 up-regulated >2 fold and 17 down-regulated <-2 fold) between CBA and Btk defective mice. Ten out of these genes were selected and quantitative Real-Time PCR was conducted for validation and further investigation. Real-Time experiments correlated nicely with the microarray data. No definitive phenotypic difference has previously been reported between Xid and Btk KO mice. We found 7 genes, whose expression differed (>2 fold) between the two strains. Moreover, when the 38 genes, which differed between immunocompetent CBA and Btk defective mice were ranked according to fold-increase, the levels in Btk KO mice were significantly more altered. This suggests that the defect in Btk KO mice is more severe and demonstrates that the mutant Btk protein in Xid mice does not generally function as dominant negative form."}
{"STANDARD_NAME":"GSE29614_CTRL_VS_TIV_FLU_VACCINE_PBMC_2007_UP","SYSTEMATIC_NAME":"M4903","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29614","EXACT_SOURCE":"GSE29614_2205_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of peripheral blood mononuclear cells (PBMC) from TIV influenza vaccinee pre-vaccination versus that after the vaccination","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying the innate responses to the trivalent inactivated influenza (TIV) and live attenuated influenza (LAIV) vaccination in humans, and to identify early gene signatures that predict the magnitude of the antibody responses to influenza vaccination."}
{"STANDARD_NAME":"GSE29614_CTRL_VS_TIV_FLU_VACCINE_PBMC_2007_DN","SYSTEMATIC_NAME":"M4905","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29614","EXACT_SOURCE":"GSE29614_2205_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of peripheral blood mononuclear cells (PBMC) from TIV influenza vaccinee pre-vaccination versus that after the vaccination","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying the innate responses to the trivalent inactivated influenza (TIV) and live attenuated influenza (LAIV) vaccination in humans, and to identify early gene signatures that predict the magnitude of the antibody responses to influenza vaccination."}
{"STANDARD_NAME":"GSE29614_CTRL_VS_DAY3_TIV_FLU_VACCINE_PBMC_UP","SYSTEMATIC_NAME":"M4906","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29614","EXACT_SOURCE":"GSE29614_2206_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of peripheral blood mononuclear cells (PBMC) from TIV influenza vaccinee pre-vaccination versus those from day 3 post-vaccination.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying the innate responses to the trivalent inactivated influenza (TIV) and live attenuated influenza (LAIV) vaccination in humans, and to identify early gene signatures that predict the magnitude of the antibody responses to influenza vaccination."}
{"STANDARD_NAME":"GSE29614_CTRL_VS_DAY3_TIV_FLU_VACCINE_PBMC_DN","SYSTEMATIC_NAME":"M4907","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29614","EXACT_SOURCE":"GSE29614_2206_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of peripheral blood mononuclear cells (PBMC) from TIV influenza vaccinee pre-vaccination versus those from day 3 post-vaccination.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying the innate responses to the trivalent inactivated influenza (TIV) and live attenuated influenza (LAIV) vaccination in humans, and to identify early gene signatures that predict the magnitude of the antibody responses to influenza vaccination."}
{"STANDARD_NAME":"GSE29614_CTRL_VS_DAY7_TIV_FLU_VACCINE_PBMC_UP","SYSTEMATIC_NAME":"M4908","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29614","EXACT_SOURCE":"GSE29614_2207_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of peripheral blood mononuclear cells (PBMC) from TIV influenza vaccinee pre-vaccination versus those from day 7 post-vaccination.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying the innate responses to the trivalent inactivated influenza (TIV) and live attenuated influenza (LAIV) vaccination in humans, and to identify early gene signatures that predict the magnitude of the antibody responses to influenza vaccination."}
{"STANDARD_NAME":"GSE29614_CTRL_VS_DAY7_TIV_FLU_VACCINE_PBMC_DN","SYSTEMATIC_NAME":"M4912","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29614","EXACT_SOURCE":"GSE29614_2207_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of peripheral blood mononuclear cells (PBMC) from TIV influenza vaccinee pre-vaccination versus those from day 7 post-vaccination.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying the innate responses to the trivalent inactivated influenza (TIV) and live attenuated influenza (LAIV) vaccination in humans, and to identify early gene signatures that predict the magnitude of the antibody responses to influenza vaccination."}
{"STANDARD_NAME":"GSE29614_DAY3_VS_DAY7_TIV_FLU_VACCINE_PBMC_UP","SYSTEMATIC_NAME":"M4914","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29614","EXACT_SOURCE":"GSE29614_2208_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of peripheral blood mononuclear cells (PBMC) from TIV influenza vaccinee at day 3 post-vaccination versus those at day 7 post-vaccination.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying the innate responses to the trivalent inactivated influenza (TIV) and live attenuated influenza (LAIV) vaccination in humans, and to identify early gene signatures that predict the magnitude of the antibody responses to influenza vaccination."}
{"STANDARD_NAME":"GSE29614_DAY3_VS_DAY7_TIV_FLU_VACCINE_PBMC_DN","SYSTEMATIC_NAME":"M4915","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29614","EXACT_SOURCE":"GSE29614_2208_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of peripheral blood mononuclear cells (PBMC) from TIV influenza vaccinee at day 3 post-vaccination versus those at day 7 post-vaccination.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying the innate responses to the trivalent inactivated influenza (TIV) and live attenuated influenza (LAIV) vaccination in humans, and to identify early gene signatures that predict the magnitude of the antibody responses to influenza vaccination."}
{"STANDARD_NAME":"GSE29615_CTRL_VS_DAY3_LAIV_IFLU_VACCINE_PBMC_UP","SYSTEMATIC_NAME":"M4916","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29615","EXACT_SOURCE":"GSE29615_2226_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of peripheral blood mononuclear cells (PBMC) from LAIV influenza vaccinee pre-vaccination versus those at day 3 post-vaccination.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying the innate responses to the trivalent inactivated influenza (TIV) and live attenuated influenza (LAIV) vaccination in humans, and to identify early gene signatures that predict the magnitude of the antibody responses to influenza vaccination."}
{"STANDARD_NAME":"GSE29615_CTRL_VS_DAY3_LAIV_IFLU_VACCINE_PBMC_DN","SYSTEMATIC_NAME":"M4917","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29615","EXACT_SOURCE":"GSE29615_2226_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of peripheral blood mononuclear cells (PBMC) from LAIV influenza vaccinee pre-vaccination versus those at day 3 post-vaccination.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying the innate responses to the trivalent inactivated influenza (TIV) and live attenuated influenza (LAIV) vaccination in humans, and to identify early gene signatures that predict the magnitude of the antibody responses to influenza vaccination."}
{"STANDARD_NAME":"GSE29615_CTRL_VS_DAY7_LAIV_FLU_VACCINE_PBMC_UP","SYSTEMATIC_NAME":"M4918","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29615","EXACT_SOURCE":"GSE29615_2227_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of peripheral blood mononuclear cells (PBMC) from LAIV influenza vaccine pre-vaccination versus those at day 7 post-vaccination.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying the innate responses to the trivalent inactivated influenza (TIV) and live attenuated influenza (LAIV) vaccination in humans, and to identify early gene signatures that predict the magnitude of the antibody responses to influenza vaccination."}
{"STANDARD_NAME":"GSE29615_CTRL_VS_DAY7_LAIV_FLU_VACCINE_PBMC_DN","SYSTEMATIC_NAME":"M4919","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29615","EXACT_SOURCE":"GSE29615_2227_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of peripheral blood mononuclear cells (PBMC) from LAIV influenza vaccine pre-vaccination versus those at day 7 post-vaccination.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying the innate responses to the trivalent inactivated influenza (TIV) and live attenuated influenza (LAIV) vaccination in humans, and to identify early gene signatures that predict the magnitude of the antibody responses to influenza vaccination."}
{"STANDARD_NAME":"GSE29615_DAY3_VS_DAY7_LAIV_FLU_VACCINE_PBMC_UP","SYSTEMATIC_NAME":"M4921","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29615","EXACT_SOURCE":"GSE29615_2228_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of peripheral blood mononuclear cells (PBMC) from LAIV influenza vaccinee at day 3 post-vaccination versus those at day 7 post-vaccination.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying the innate responses to the trivalent inactivated influenza (TIV) and live attenuated influenza (LAIV) vaccination in humans, and to identify early gene signatures that predict the magnitude of the antibody responses to influenza vaccination."}
{"STANDARD_NAME":"GSE29615_DAY3_VS_DAY7_LAIV_FLU_VACCINE_PBMC_DN","SYSTEMATIC_NAME":"M4922","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29615","EXACT_SOURCE":"GSE29615_2228_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of peripheral blood mononuclear cells (PBMC) from LAIV influenza vaccinee at day 3 post-vaccination versus those at day 7 post-vaccination.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying the innate responses to the trivalent inactivated influenza (TIV) and live attenuated influenza (LAIV) vaccination in humans, and to identify early gene signatures that predict the magnitude of the antibody responses to influenza vaccination."}
{"STANDARD_NAME":"GSE29615_CTRL_VS_LAIV_FLU_VACCINE_PBMC_UP","SYSTEMATIC_NAME":"M4923","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29615","EXACT_SOURCE":"GSE29615_2229_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of peripheral blood mononuclear cells (PBMC) from TIV influenza vaccinee pre-vaccination versus those post-vaccination.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying the innate responses to the trivalent inactivated influenza (TIV) and live attenuated influenza (LAIV) vaccination in humans, and to identify early gene signatures that predict the magnitude of the antibody responses to influenza vaccination."}
{"STANDARD_NAME":"GSE29615_CTRL_VS_LAIV_FLU_VACCINE_PBMC_DN","SYSTEMATIC_NAME":"M4924","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29615","EXACT_SOURCE":"GSE29615_2229_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of peripheral blood mononuclear cells (PBMC) from TIV influenza vaccinee pre-vaccination versus those post-vaccination.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying the innate responses to the trivalent inactivated influenza (TIV) and live attenuated influenza (LAIV) vaccination in humans, and to identify early gene signatures that predict the magnitude of the antibody responses to influenza vaccination."}
{"STANDARD_NAME":"GSE29617_CTRL_VS_TIV_FLU_VACCINE_PBMC_2008_UP","SYSTEMATIC_NAME":"M4926","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29617","EXACT_SOURCE":"GSE29617_2201_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of peripheral blood mononuclear cells (PBMC) from TIV influenza vaccinee before vaccination versus that after the vaccination.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29617_CTRL_VS_TIV_FLU_VACCINE_PBMC_2008_DN","SYSTEMATIC_NAME":"M4927","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29617","EXACT_SOURCE":"GSE29617_2201_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of peripheral blood mononuclear cells (PBMC) from TIV influenza vaccinee before vaccination versus that after the vaccination.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29617_CTRL_VS_DAY3_TIV_FLU_VACCINE_PBMC_2008_UP","SYSTEMATIC_NAME":"M4928","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29617","EXACT_SOURCE":"GSE29617_2202_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of peripheral blood mononuclear cells (PBMC) from TIV influenza vaccinee pre-vaccination versus those at day 3 post-vaccination.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29617_CTRL_VS_DAY3_TIV_FLU_VACCINE_PBMC_2008_DN","SYSTEMATIC_NAME":"M4929","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29617","EXACT_SOURCE":"GSE29617_2202_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of peripheral blood mononuclear cells (PBMC) from TIV influenza vaccinee pre-vaccination versus those at day 3 post-vaccination.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29617_CTRL_VS_DAY7_TIV_FLU_VACCINE_PBMC_2008_UP","SYSTEMATIC_NAME":"M4930","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29617","EXACT_SOURCE":"GSE29617_2203_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of peripheral blood mononuclear cells (PBMC) from TIV influenza vaccinee pre-vaccination versus those at day 7 post-vaccination.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29617_CTRL_VS_DAY7_TIV_FLU_VACCINE_PBMC_2008_DN","SYSTEMATIC_NAME":"M4931","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29617","EXACT_SOURCE":"GSE29617_2203_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of peripheral blood mononuclear cells (PBMC) from TIV influenza vaccinee pre-vaccination versus those at day 7 post-vaccination.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29617_DAY3_VS_DAY7_TIV_FLU_VACCINE_PBMC_2008_UP","SYSTEMATIC_NAME":"M4933","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29617","EXACT_SOURCE":"GSE29617_2204_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of peripheral blood mononuclear cells (PBMC) from TIV influenza vaccinee at day 3 post-vaccination versus those at day 7 post-vaccination.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29617_DAY3_VS_DAY7_TIV_FLU_VACCINE_PBMC_2008_DN","SYSTEMATIC_NAME":"M4935","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29617","EXACT_SOURCE":"GSE29617_2204_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of peripheral blood mononuclear cells (PBMC) from TIV influenza vaccinee at day 3 post-vaccination versus those at day 7 post-vaccination.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29618_BCELL_VS_MONOCYTE_UP","SYSTEMATIC_NAME":"M4936","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29618","EXACT_SOURCE":"GSE29618_2173_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of B cells versus monocytes.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29618_BCELL_VS_MONOCYTE_DN","SYSTEMATIC_NAME":"M4938","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29618","EXACT_SOURCE":"GSE29618_2173_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of B cells versus monocytes.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29618_BCELL_VS_PDC_UP","SYSTEMATIC_NAME":"M4940","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29618","EXACT_SOURCE":"GSE29618_2174_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of B cells versus plasmacytoid dendritic cells (pDC) .","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29618_BCELL_VS_PDC_DN","SYSTEMATIC_NAME":"M4942","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29618","EXACT_SOURCE":"GSE29618_2174_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of B cells versus plasmacytoid dendritic cells (pDC) .","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29618_BCELL_VS_MDC_UP","SYSTEMATIC_NAME":"M4943","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29618","EXACT_SOURCE":"GSE29618_2175_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of B cells versus myeloid dendritic cells (mDC).","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29618_BCELL_VS_MDC_DN","SYSTEMATIC_NAME":"M4944","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29618","EXACT_SOURCE":"GSE29618_2175_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of B cells versus myeloid dendritic cells (mDC).","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29618_MONOCYTE_VS_PDC_UP","SYSTEMATIC_NAME":"M4945","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29618","EXACT_SOURCE":"GSE29618_2176_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of monocytes versus plasmacytoid dendritic cells (pDC).","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29618_MONOCYTE_VS_PDC_DN","SYSTEMATIC_NAME":"M4946","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29618","EXACT_SOURCE":"GSE29618_2176_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of monocytes versus plasmacytoid dendritic cells (pDC).","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29618_MONOCYTE_VS_MDC_UP","SYSTEMATIC_NAME":"M4948","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29618","EXACT_SOURCE":"GSE29618_2177_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of monocytes versus myeloid dendritic cells (mDC).","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29618_MONOCYTE_VS_MDC_DN","SYSTEMATIC_NAME":"M4949","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29618","EXACT_SOURCE":"GSE29618_2177_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of monocytes versus myeloid dendritic cells (mDC).","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29618_PDC_VS_MDC_UP","SYSTEMATIC_NAME":"M4951","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29618","EXACT_SOURCE":"GSE29618_2178_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of plasmacytoid dendritic cells (DC) versus myeloid DCs.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29618_PDC_VS_MDC_DN","SYSTEMATIC_NAME":"M4952","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29618","EXACT_SOURCE":"GSE29618_2178_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of plasmacytoid dendritic cells (DC) versus myeloid DCs.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29618_BCELL_VS_MONOCYTE_DAY7_FLU_VACCINE_UP","SYSTEMATIC_NAME":"M4954","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29618","EXACT_SOURCE":"GSE29618_2179_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of B cells from influenza vaccinee at day 7 versus monocytes from influenza vaccinee at day 7.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29618_BCELL_VS_MONOCYTE_DAY7_FLU_VACCINE_DN","SYSTEMATIC_NAME":"M4955","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29618","EXACT_SOURCE":"GSE29618_2179_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of B cells from influenza vaccinee at day 7 versus monocytes from influenza vaccinee at day 7.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29618_BCELL_VS_PDC_DAY7_FLU_VACCINE_UP","SYSTEMATIC_NAME":"M4958","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29618","EXACT_SOURCE":"GSE29618_2180_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of B cells from influenza vaccinee at day 7 post-vaccination versus plasmacytoid dendritic cells (pDC) at day 7 post-vaccination.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29618_BCELL_VS_PDC_DAY7_FLU_VACCINE_DN","SYSTEMATIC_NAME":"M4959","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29618","EXACT_SOURCE":"GSE29618_2180_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of B cells from influenza vaccinee at day 7 post-vaccination versus plasmacytoid dendritic cells (pDC) at day 7 post-vaccination.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29618_BCELL_VS_MDC_DAY7_FLU_VACCINE_UP","SYSTEMATIC_NAME":"M4961","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29618","EXACT_SOURCE":"GSE29618_2181_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of B cells from influenza vaccinee at day 7 post-vaccination versus myeloid dendritic cells (mDC) at day 7 post-vaccination.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29618_BCELL_VS_MDC_DAY7_FLU_VACCINE_DN","SYSTEMATIC_NAME":"M4962","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29618","EXACT_SOURCE":"GSE29618_2181_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of B cells from influenza vaccinee at day 7 post-vaccination versus myeloid dendritic cells (mDC) at day 7 post-vaccination.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29618_MONOCYTE_VS_PDC_DAY7_FLU_VACCINE_UP","SYSTEMATIC_NAME":"M4963","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29618","EXACT_SOURCE":"GSE29618_2182_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of monocytes from influenza vaccinee at day 7 post-vaccination versus plasmacytoid dendritic cells (mDC) at day 7 post-vaccination.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29618_MONOCYTE_VS_PDC_DAY7_FLU_VACCINE_DN","SYSTEMATIC_NAME":"M4964","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29618","EXACT_SOURCE":"GSE29618_2182_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of monocytes from influenza vaccinee at day 7 post-vaccination versus plasmacytoid dendritic cells (mDC) at day 7 post-vaccination.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29618_MONOCYTE_VS_MDC_DAY7_FLU_VACCINE_UP","SYSTEMATIC_NAME":"M4966","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29618","EXACT_SOURCE":"GSE29618_2183_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of monocytes from influenza vaccinee at day 7 post-vaccination versus myeloid dendritic cells at day 7 post-vaccination.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29618_MONOCYTE_VS_MDC_DAY7_FLU_VACCINE_DN","SYSTEMATIC_NAME":"M4968","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29618","EXACT_SOURCE":"GSE29618_2183_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of monocytes from influenza vaccinee at day 7 post-vaccination versus myeloid dendritic cells at day 7 post-vaccination.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29618_PDC_VS_MDC_DAY7_FLU_VACCINE_UP","SYSTEMATIC_NAME":"M4970","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29618","EXACT_SOURCE":"GSE29618_2184_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of plasmacytoid dendritic cells (DC) from influenza vaccinee at day 7 post-vaccination versus myeloid DCs at day 7 post-vaccination.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29618_PDC_VS_MDC_DAY7_FLU_VACCINE_DN","SYSTEMATIC_NAME":"M4971","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29618","EXACT_SOURCE":"GSE29618_2184_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of plasmacytoid dendritic cells (DC) from influenza vaccinee at day 7 post-vaccination versus myeloid DCs at day 7 post-vaccination.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29618_PRE_VS_DAY7_FLU_VACCINE_BCELL_UP","SYSTEMATIC_NAME":"M4972","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29618","EXACT_SOURCE":"GSE29618_2185_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of B cells from influenza vaccinee pre-vaccination versus those at day 7 post-vaccination.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29618_PRE_VS_DAY7_FLU_VACCINE_BCELL_DN","SYSTEMATIC_NAME":"M4973","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29618","EXACT_SOURCE":"GSE29618_2185_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of B cells from influenza vaccinee pre-vaccination versus those at day 7 post-vaccination.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29618_PRE_VS_DAY7_FLU_VACCINE_MONOCYTE_UP","SYSTEMATIC_NAME":"M4975","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29618","EXACT_SOURCE":"GSE29618_2186_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of monocytes from influenza vaccinee pre-vaccination versus those at day 7 post-vaccination.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29618_PRE_VS_DAY7_FLU_VACCINE_MONOCYTE_DN","SYSTEMATIC_NAME":"M4977","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29618","EXACT_SOURCE":"GSE29618_2186_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of monocytes from influenza vaccinee pre-vaccination versus those at day 7 post-vaccination.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29618_PRE_VS_DAY7_FLU_VACCINE_PDC_UP","SYSTEMATIC_NAME":"M4978","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29618","EXACT_SOURCE":"GSE29618_2187_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of plasmacytoid dendritic cells (pDC) from influenza vaccinee pre-vaccination versus those at day 7 post-vaccination.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29618_PRE_VS_DAY7_FLU_VACCINE_PDC_DN","SYSTEMATIC_NAME":"M4979","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29618","EXACT_SOURCE":"GSE29618_2187_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of plasmacytoid dendritic cells (pDC) from influenza vaccinee pre-vaccination versus those at day 7 post-vaccination.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29618_PRE_VS_DAY7_FLU_VACCINE_MDC_UP","SYSTEMATIC_NAME":"M4980","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29618","EXACT_SOURCE":"GSE29618_2188_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of plasmacytoid dendritic cells (DC) from influenza vaccinee at day 0 versus myeloid DCs at day 7 post-vaccination.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29618_PRE_VS_DAY7_FLU_VACCINE_MDC_DN","SYSTEMATIC_NAME":"M4981","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29618","EXACT_SOURCE":"GSE29618_2188_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of plasmacytoid dendritic cells (DC) from influenza vaccinee at day 0 versus myeloid DCs at day 7 post-vaccination.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29618_PRE_VS_DAY7_POST_LAIV_FLU_VACCINE_BCELL_UP","SYSTEMATIC_NAME":"M4982","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29618","EXACT_SOURCE":"GSE29618_2189_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of B cells from LAIV influenza vaccinee pre-vaccination versus those at day 7 post-vaccination.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29618_PRE_VS_DAY7_POST_LAIV_FLU_VACCINE_BCELL_DN","SYSTEMATIC_NAME":"M4984","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29618","EXACT_SOURCE":"GSE29618_2189_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of B cells from LAIV influenza vaccinee pre-vaccination versus those at day 7 post-vaccination.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29618_PRE_VS_DAY7_POST_TIV_FLU_VACCINE_BCELL_UP","SYSTEMATIC_NAME":"M4985","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29618","EXACT_SOURCE":"GSE29618_2190_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of B cells from TIV influenza vaccinee pre-vaccination versus those at day 7 post-vaccination.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29618_PRE_VS_DAY7_POST_TIV_FLU_VACCINE_BCELL_DN","SYSTEMATIC_NAME":"M4990","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29618","EXACT_SOURCE":"GSE29618_2190_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of B cells from TIV influenza vaccinee pre-vaccination versus those at day 7 post-vaccination.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29618_PRE_VS_DAY7_POST_LAIV_FLU_VACCINE_MONOCYTE_UP","SYSTEMATIC_NAME":"M4993","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29618","EXACT_SOURCE":"GSE29618_2191_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of monocytes from LAIV influenza vaccinee pre-vaccination versus those at day 7 post-vaccination","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29618_PRE_VS_DAY7_POST_LAIV_FLU_VACCINE_MONOCYTE_DN","SYSTEMATIC_NAME":"M4994","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29618","EXACT_SOURCE":"GSE29618_2191_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of monocytes from LAIV influenza vaccinee pre-vaccination versus those at day 7 post-vaccination","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29618_PRE_VS_DAY7_POST_TIV_FLU_VACCINE_MONOCYTE_UP","SYSTEMATIC_NAME":"M4996","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29618","EXACT_SOURCE":"GSE29618_2192_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of monocytes from TIV influenza vaccinee pre-vaccination versus those at day 7 post-vaccination","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29618_PRE_VS_DAY7_POST_TIV_FLU_VACCINE_MONOCYTE_DN","SYSTEMATIC_NAME":"M4997","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29618","EXACT_SOURCE":"GSE29618_2192_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of monocytes from TIV influenza vaccinee pre-vaccination versus those at day 7 post-vaccination","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29618_PRE_VS_DAY7_POST_LAIV_FLU_VACCINE_PDC_UP","SYSTEMATIC_NAME":"M4999","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29618","EXACT_SOURCE":"GSE29618_2193_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of plasmacytoid dendritic cells (pDC) from influenza vaccinee pre-vaccination versus those at day 7 post-vaccination.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29618_PRE_VS_DAY7_POST_LAIV_FLU_VACCINE_PDC_DN","SYSTEMATIC_NAME":"M5001","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29618","EXACT_SOURCE":"GSE29618_2193_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of plasmacytoid dendritic cells (pDC) from influenza vaccinee pre-vaccination versus those at day 7 post-vaccination.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29618_PRE_VS_DAY7_POST_TIV_FLU_VACCINE_PDC_UP","SYSTEMATIC_NAME":"M5003","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29618","EXACT_SOURCE":"GSE29618_2194_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of plasmacytoid dendritic cells (pDC) from TIV influenza vaccinee pre-vaccination versus those at day 7 post-vaccination.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29618_PRE_VS_DAY7_POST_TIV_FLU_VACCINE_PDC_DN","SYSTEMATIC_NAME":"M5005","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29618","EXACT_SOURCE":"GSE29618_2194_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of plasmacytoid dendritic cells (pDC) from TIV influenza vaccinee pre-vaccination versus those at day 7 post-vaccination.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29618_PRE_VS_DAY7_POST_LAIV_FLU_VACCINE_MDC_UP","SYSTEMATIC_NAME":"M5007","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29618","EXACT_SOURCE":"GSE29618_2195_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of myeloid dendritic cells (mDC) from LAIV influenza vaccinee pre-vaccination versus those at day 7 post-vaccination.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29618_PRE_VS_DAY7_POST_LAIV_FLU_VACCINE_MDC_DN","SYSTEMATIC_NAME":"M5008","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29618","EXACT_SOURCE":"GSE29618_2195_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of myeloid dendritic cells (mDC) from LAIV influenza vaccinee pre-vaccination versus those at day 7 post-vaccination.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29618_PRE_VS_DAY7_POST_TIV_FLU_VACCINE_MDC_UP","SYSTEMATIC_NAME":"M5009","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29618","EXACT_SOURCE":"GSE29618_2196_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of myeloid dendritic cells (mDC) from TIV influenza vaccinee pre-vaccination versus those at day 7 post-vaccination.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29618_PRE_VS_DAY7_POST_TIV_FLU_VACCINE_MDC_DN","SYSTEMATIC_NAME":"M5010","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29618","EXACT_SOURCE":"GSE29618_2196_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of myeloid dendritic cells (mDC) from TIV influenza vaccinee pre-vaccination versus those at day 7 post-vaccination.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29618_LAIV_VS_TIV_FLU_VACCINE_DAY7_BCELL_UP","SYSTEMATIC_NAME":"M5011","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29618","EXACT_SOURCE":"GSE29618_2197_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of B cells from LAIV influenza vaccinee at day 7 post-vaccination versus those from TIV influenza vaccinee at day 7 post-vaccination.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29618_LAIV_VS_TIV_FLU_VACCINE_DAY7_BCELL_DN","SYSTEMATIC_NAME":"M5013","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29618","EXACT_SOURCE":"GSE29618_2197_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of B cells from LAIV influenza vaccinee at day 7 post-vaccination versus those from TIV influenza vaccinee at day 7 post-vaccination.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29618_LAIV_VS_TIV_FLU_VACCINE_DAY7_MONOCYTE_UP","SYSTEMATIC_NAME":"M5015","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29618","EXACT_SOURCE":"GSE29618_2198_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of monocytes from LAIV influenza vaccinee at day 7 post-vaccination vesus those from TIV influenza vaccinee at day 7.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29618_LAIV_VS_TIV_FLU_VACCINE_DAY7_MONOCYTE_DN","SYSTEMATIC_NAME":"M5016","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29618","EXACT_SOURCE":"GSE29618_2198_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of monocytes from LAIV influenza vaccinee at day 7 post-vaccination vesus those from TIV influenza vaccinee at day 7.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29618_LAIV_VS_TIV_FLU_VACCINE_DAY7_PDC_UP","SYSTEMATIC_NAME":"M5018","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29618","EXACT_SOURCE":"GSE29618_2199_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of plasmacytoid dendritic cells from LAIV influenza vaccinee at day 7 post-vaccination vesus those from TIV influenza vaccinee at day 7.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29618_LAIV_VS_TIV_FLU_VACCINE_DAY7_PDC_DN","SYSTEMATIC_NAME":"M5019","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29618","EXACT_SOURCE":"GSE29618_2199_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of plasmacytoid dendritic cells from LAIV influenza vaccinee at day 7 post-vaccination vesus those from TIV influenza vaccinee at day 7.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29618_LAIV_VS_TIV_FLU_VACCINE_DAY7_MDC_UP","SYSTEMATIC_NAME":"M5020","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29618","EXACT_SOURCE":"GSE29618_2200_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of myeloid dendritic cells from LAIV influenza vaccinee at day 7 post-vaccination vesus those from TIV influenza vaccinee at day 7.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE29618_LAIV_VS_TIV_FLU_VACCINE_DAY7_MDC_DN","SYSTEMATIC_NAME":"M5022","ORGANISM":"Homo sapiens","PMID":"21743478","AUTHORS":"Nakaya HI,Wrammert J,Lee EK,Racioppi L,Marie-Kunze S,Haining WN,Means AR,Kasturi SP,Khan N,Li GM,McCausland M,Kanchan V,Kokko KE,Li S,Elbein R,Mehta AK,Aderem A,Subbarao K,Ahmed R,Pulendran B.","GEOID":"GSE29618","EXACT_SOURCE":"GSE29618_2200_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of myeloid dendritic cells from LAIV influenza vaccinee at day 7 post-vaccination vesus those from TIV influenza vaccinee at day 7.","DESCRIPTION_FULL":"Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying th"}
{"STANDARD_NAME":"GSE30083_SP1_VS_SP2_THYMOCYTE_UP","SYSTEMATIC_NAME":"M5023","ORGANISM":"Mus musculus","PMID":"22022412","AUTHORS":"Teng F,Zhou Y,Jin R,Chen Y,Pei X,Liu Y,Dong J,Wang W,Pang X,Qian X,Chen WF,Zhang Y,Ge Q.","GEOID":"GSE30083","EXACT_SOURCE":"GSE30083_2160_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of SP1 thymocytes versus SP2 thymocytes.","DESCRIPTION_FULL":"After positive selection in the thymus, the newly generated single positive (SP) thymocytes are phenotypically and functionally immature and undergo apoptosis upon antigen stimulation. In the thymic medullary microenvironment, SP cells progressively acquire immunocompetence. Negative selection to remove autoreactive T cells also occur at this stage. We have defined four subsets of CD4 SP, namely, SP1, SP2, SP3, and SP4 that follow a functional maturation program and a sequential emergence during mouse ontogeny.We used microarray to detail the global programm of gene expression during the maturation of murine CD4 single positive thymocytes"}
{"STANDARD_NAME":"GSE30083_SP1_VS_SP2_THYMOCYTE_DN","SYSTEMATIC_NAME":"M5024","ORGANISM":"Mus musculus","PMID":"22022412","AUTHORS":"Teng F,Zhou Y,Jin R,Chen Y,Pei X,Liu Y,Dong J,Wang W,Pang X,Qian X,Chen WF,Zhang Y,Ge Q.","GEOID":"GSE30083","EXACT_SOURCE":"GSE30083_2160_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of SP1 thymocytes versus SP2 thymocytes.","DESCRIPTION_FULL":"After positive selection in the thymus, the newly generated single positive (SP) thymocytes are phenotypically and functionally immature and undergo apoptosis upon antigen stimulation. In the thymic medullary microenvironment, SP cells progressively acquire immunocompetence. Negative selection to remove autoreactive T cells also occur at this stage. We have defined four subsets of CD4 SP, namely, SP1, SP2, SP3, and SP4 that follow a functional maturation program and a sequential emergence during mouse ontogeny.We used microarray to detail the global programm of gene expression during the maturation of murine CD4 single positive thymocytes"}
{"STANDARD_NAME":"GSE30083_SP1_VS_SP3_THYMOCYTE_UP","SYSTEMATIC_NAME":"M5025","ORGANISM":"Mus musculus","PMID":"22022412","AUTHORS":"Teng F,Zhou Y,Jin R,Chen Y,Pei X,Liu Y,Dong J,Wang W,Pang X,Qian X,Chen WF,Zhang Y,Ge Q.","GEOID":"GSE30083","EXACT_SOURCE":"GSE30083_2161_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of SP1 thymocytes versus SP3 thymocytes.","DESCRIPTION_FULL":"After positive selection in the thymus, the newly generated single positive (SP) thymocytes are phenotypically and functionally immature and undergo apoptosis upon antigen stimulation. In the thymic medullary microenvironment, SP cells progressively acquire immunocompetence. Negative selection to remove autoreactive T cells also occur at this stage. We have defined four subsets of CD4 SP, namely, SP1, SP2, SP3, and SP4 that follow a functional maturation program and a sequential emergence during mouse ontogeny.We used microarray to detail the global programm of gene expression during the maturation of murine CD4 single positive thymocytes"}
{"STANDARD_NAME":"GSE30083_SP1_VS_SP3_THYMOCYTE_DN","SYSTEMATIC_NAME":"M5026","ORGANISM":"Mus musculus","PMID":"22022412","AUTHORS":"Teng F,Zhou Y,Jin R,Chen Y,Pei X,Liu Y,Dong J,Wang W,Pang X,Qian X,Chen WF,Zhang Y,Ge Q.","GEOID":"GSE30083","EXACT_SOURCE":"GSE30083_2161_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of SP1 thymocytes versus SP3 thymocytes.","DESCRIPTION_FULL":"After positive selection in the thymus, the newly generated single positive (SP) thymocytes are phenotypically and functionally immature and undergo apoptosis upon antigen stimulation. In the thymic medullary microenvironment, SP cells progressively acquire immunocompetence. Negative selection to remove autoreactive T cells also occur at this stage. We have defined four subsets of CD4 SP, namely, SP1, SP2, SP3, and SP4 that follow a functional maturation program and a sequential emergence during mouse ontogeny.We used microarray to detail the global programm of gene expression during the maturation of murine CD4 single positive thymocytes"}
{"STANDARD_NAME":"GSE30083_SP1_VS_SP4_THYMOCYTE_UP","SYSTEMATIC_NAME":"M5028","ORGANISM":"Mus musculus","PMID":"22022412","AUTHORS":"Teng F,Zhou Y,Jin R,Chen Y,Pei X,Liu Y,Dong J,Wang W,Pang X,Qian X,Chen WF,Zhang Y,Ge Q.","GEOID":"GSE30083","EXACT_SOURCE":"GSE30083_2162_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of SP1 thymocytes versus SP4 thymocytes.","DESCRIPTION_FULL":"After positive selection in the thymus, the newly generated single positive (SP) thymocytes are phenotypically and functionally immature and undergo apoptosis upon antigen stimulation. In the thymic medullary microenvironment, SP cells progressively acquire immunocompetence. Negative selection to remove autoreactive T cells also occur at this stage. We have defined four subsets of CD4 SP, namely, SP1, SP2, SP3, and SP4 that follow a functional maturation program and a sequential emergence during mouse ontogeny.We used microarray to detail the global programm of gene expression during the maturation of murine CD4 single positive thymocytes"}
{"STANDARD_NAME":"GSE30083_SP1_VS_SP4_THYMOCYTE_DN","SYSTEMATIC_NAME":"M5030","ORGANISM":"Mus musculus","PMID":"22022412","AUTHORS":"Teng F,Zhou Y,Jin R,Chen Y,Pei X,Liu Y,Dong J,Wang W,Pang X,Qian X,Chen WF,Zhang Y,Ge Q.","GEOID":"GSE30083","EXACT_SOURCE":"GSE30083_2162_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of SP1 thymocytes versus SP4 thymocytes.","DESCRIPTION_FULL":"After positive selection in the thymus, the newly generated single positive (SP) thymocytes are phenotypically and functionally immature and undergo apoptosis upon antigen stimulation. In the thymic medullary microenvironment, SP cells progressively acquire immunocompetence. Negative selection to remove autoreactive T cells also occur at this stage. We have defined four subsets of CD4 SP, namely, SP1, SP2, SP3, and SP4 that follow a functional maturation program and a sequential emergence during mouse ontogeny.We used microarray to detail the global programm of gene expression during the maturation of murine CD4 single positive thymocytes"}
{"STANDARD_NAME":"GSE30083_SP2_VS_SP3_THYMOCYTE_UP","SYSTEMATIC_NAME":"M5031","ORGANISM":"Mus musculus","PMID":"22022412","AUTHORS":"Teng F,Zhou Y,Jin R,Chen Y,Pei X,Liu Y,Dong J,Wang W,Pang X,Qian X,Chen WF,Zhang Y,Ge Q.","GEOID":"GSE30083","EXACT_SOURCE":"GSE30083_2163_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of SP2 thymocytes versus SP3 thymocytes.","DESCRIPTION_FULL":"After positive selection in the thymus, the newly generated single positive (SP) thymocytes are phenotypically and functionally immature and undergo apoptosis upon antigen stimulation. In the thymic medullary microenvironment, SP cells progressively acquire immunocompetence. Negative selection to remove autoreactive T cells also occur at this stage. We have defined four subsets of CD4 SP, namely, SP1, SP2, SP3, and SP4 that follow a functional maturation program and a sequential emergence during mouse ontogeny.We used microarray to detail the global programm of gene expression during the maturation of murine CD4 single positive thymocytes"}
{"STANDARD_NAME":"GSE30083_SP2_VS_SP3_THYMOCYTE_DN","SYSTEMATIC_NAME":"M5033","ORGANISM":"Mus musculus","PMID":"22022412","AUTHORS":"Teng F,Zhou Y,Jin R,Chen Y,Pei X,Liu Y,Dong J,Wang W,Pang X,Qian X,Chen WF,Zhang Y,Ge Q.","GEOID":"GSE30083","EXACT_SOURCE":"GSE30083_2163_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of SP2 thymocytes versus SP3 thymocytes.","DESCRIPTION_FULL":"After positive selection in the thymus, the newly generated single positive (SP) thymocytes are phenotypically and functionally immature and undergo apoptosis upon antigen stimulation. In the thymic medullary microenvironment, SP cells progressively acquire immunocompetence. Negative selection to remove autoreactive T cells also occur at this stage. We have defined four subsets of CD4 SP, namely, SP1, SP2, SP3, and SP4 that follow a functional maturation program and a sequential emergence during mouse ontogeny.We used microarray to detail the global programm of gene expression during the maturation of murine CD4 single positive thymocytes"}
{"STANDARD_NAME":"GSE30083_SP2_VS_SP4_THYMOCYTE_UP","SYSTEMATIC_NAME":"M5034","ORGANISM":"Mus musculus","PMID":"22022412","AUTHORS":"Teng F,Zhou Y,Jin R,Chen Y,Pei X,Liu Y,Dong J,Wang W,Pang X,Qian X,Chen WF,Zhang Y,Ge Q.","GEOID":"GSE30083","EXACT_SOURCE":"GSE30083_2164_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of SP2 thymocytes versus SP4 thymocytes.","DESCRIPTION_FULL":"After positive selection in the thymus, the newly generated single positive (SP) thymocytes are phenotypically and functionally immature and undergo apoptosis upon antigen stimulation. In the thymic medullary microenvironment, SP cells progressively acquire immunocompetence. Negative selection to remove autoreactive T cells also occur at this stage. We have defined four subsets of CD4 SP, namely, SP1, SP2, SP3, and SP4 that follow a functional maturation program and a sequential emergence during mouse ontogeny.We used microarray to detail the global programm of gene expression during the maturation of murine CD4 single positive thymocytes"}
{"STANDARD_NAME":"GSE30083_SP2_VS_SP4_THYMOCYTE_DN","SYSTEMATIC_NAME":"M5035","ORGANISM":"Mus musculus","PMID":"22022412","AUTHORS":"Teng F,Zhou Y,Jin R,Chen Y,Pei X,Liu Y,Dong J,Wang W,Pang X,Qian X,Chen WF,Zhang Y,Ge Q.","GEOID":"GSE30083","EXACT_SOURCE":"GSE30083_2164_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of SP2 thymocytes versus SP4 thymocytes.","DESCRIPTION_FULL":"After positive selection in the thymus, the newly generated single positive (SP) thymocytes are phenotypically and functionally immature and undergo apoptosis upon antigen stimulation. In the thymic medullary microenvironment, SP cells progressively acquire immunocompetence. Negative selection to remove autoreactive T cells also occur at this stage. We have defined four subsets of CD4 SP, namely, SP1, SP2, SP3, and SP4 that follow a functional maturation program and a sequential emergence during mouse ontogeny.We used microarray to detail the global programm of gene expression during the maturation of murine CD4 single positive thymocytes"}
{"STANDARD_NAME":"GSE30083_SP3_VS_SP4_THYMOCYTE_UP","SYSTEMATIC_NAME":"M5036","ORGANISM":"Mus musculus","PMID":"22022412","AUTHORS":"Teng F,Zhou Y,Jin R,Chen Y,Pei X,Liu Y,Dong J,Wang W,Pang X,Qian X,Chen WF,Zhang Y,Ge Q.","GEOID":"GSE30083","EXACT_SOURCE":"GSE30083_2165_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of SP3 thymocytes versus SP4 thymocytes.","DESCRIPTION_FULL":"After positive selection in the thymus, the newly generated single positive (SP) thymocytes are phenotypically and functionally immature and undergo apoptosis upon antigen stimulation. In the thymic medullary microenvironment, SP cells progressively acquire immunocompetence. Negative selection to remove autoreactive T cells also occur at this stage. We have defined four subsets of CD4 SP, namely, SP1, SP2, SP3, and SP4 that follow a functional maturation program and a sequential emergence during mouse ontogeny.We used microarray to detail the global programm of gene expression during the maturation of murine CD4 single positive thymocytes"}
{"STANDARD_NAME":"GSE30083_SP3_VS_SP4_THYMOCYTE_DN","SYSTEMATIC_NAME":"M5037","ORGANISM":"Mus musculus","PMID":"22022412","AUTHORS":"Teng F,Zhou Y,Jin R,Chen Y,Pei X,Liu Y,Dong J,Wang W,Pang X,Qian X,Chen WF,Zhang Y,Ge Q.","GEOID":"GSE30083","EXACT_SOURCE":"GSE30083_2165_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of SP3 thymocytes versus SP4 thymocytes.","DESCRIPTION_FULL":"After positive selection in the thymus, the newly generated single positive (SP) thymocytes are phenotypically and functionally immature and undergo apoptosis upon antigen stimulation. In the thymic medullary microenvironment, SP cells progressively acquire immunocompetence. Negative selection to remove autoreactive T cells also occur at this stage. We have defined four subsets of CD4 SP, namely, SP1, SP2, SP3, and SP4 that follow a functional maturation program and a sequential emergence during mouse ontogeny.We used microarray to detail the global programm of gene expression during the maturation of murine CD4 single positive thymocytes"}
{"STANDARD_NAME":"GSE30962_PRIMARY_VS_SECONDARY_ACUTE_LCMV_INF_CD8_TCELL_UP","SYSTEMATIC_NAME":"M5041","ORGANISM":"Mus musculus","PMID":"21856186","AUTHORS":"West EE,Youngblood B,Tan WG,Jin HT,Araki K,Alexe G,Konieczny BT,Calpe S,Freeman GJ,Terhorst C,Haining WN,Ahmed R.","GEOID":"GSE30962","EXACT_SOURCE":"GSE30962_1570_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of splenic primary CD8 effector T cells at day 8 post-acute infection versus splenic secondary CD8 effector T cells at day 8 post-acute infection.","DESCRIPTION_FULL":"Understanding the response of memory CD8 T cells to persistent antigen re-stimulation and the role of CD4 T cell help is critical to the design of successful vaccines for chronic diseases. However, studies comparing the protective abilities and qualities of memory and naïve cells have been mostly performed in acute infections, and little is known about their roles during chronic infections. Herein, we show that memory cells dominate over naïve cells and are protective when present in large enough numbers to quickly reduce infection. In contrast, when infection is not rapidly reduced, memory cells are quickly lost, unlike naïve cells. This loss of memory cells is due to (i) an early block in cell proliferation, (ii) selective regulation by the inhibitory receptor 2B4, and (iii) increased reliance on CD4 T cell help. These findings have important implications towards the design of T cell vaccines against chronic infections and tumors."}
{"STANDARD_NAME":"GSE30962_PRIMARY_VS_SECONDARY_ACUTE_LCMV_INF_CD8_TCELL_DN","SYSTEMATIC_NAME":"M5043","ORGANISM":"Mus musculus","PMID":"21856186","AUTHORS":"West EE,Youngblood B,Tan WG,Jin HT,Araki K,Alexe G,Konieczny BT,Calpe S,Freeman GJ,Terhorst C,Haining WN,Ahmed R.","GEOID":"GSE30962","EXACT_SOURCE":"GSE30962_1570_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of splenic primary CD8 effector T cells at day 8 post-acute infection versus splenic secondary CD8 effector T cells at day 8 post-acute infection.","DESCRIPTION_FULL":"Understanding the response of memory CD8 T cells to persistent antigen re-stimulation and the role of CD4 T cell help is critical to the design of successful vaccines for chronic diseases. However, studies comparing the protective abilities and qualities of memory and naïve cells have been mostly performed in acute infections, and little is known about their roles during chronic infections. Herein, we show that memory cells dominate over naïve cells and are protective when present in large enough numbers to quickly reduce infection. In contrast, when infection is not rapidly reduced, memory cells are quickly lost, unlike naïve cells. This loss of memory cells is due to (i) an early block in cell proliferation, (ii) selective regulation by the inhibitory receptor 2B4, and (iii) increased reliance on CD4 T cell help. These findings have important implications towards the design of T cell vaccines against chronic infections and tumors."}
{"STANDARD_NAME":"GSE30962_PRIMARY_VS_SECONDARY_CHRONIC_LCMV_INF_CD8_TCELL_UP","SYSTEMATIC_NAME":"M5044","ORGANISM":"Mus musculus","PMID":"21856186","AUTHORS":"West EE,Youngblood B,Tan WG,Jin HT,Araki K,Alexe G,Konieczny BT,Calpe S,Freeman GJ,Terhorst C,Haining WN,Ahmed R.","GEOID":"GSE30962","EXACT_SOURCE":"GSE30962_1571_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of splenic primary CD8 effector T cells at day 8 post-chronic infection versus splenic secondary CD8 effector T cells at day 8 post-chronic infection.","DESCRIPTION_FULL":"Understanding the response of memory CD8 T cells to persistent antigen re-stimulation and the role of CD4 T cell help is critical to the design of successful vaccines for chronic diseases. However, studies comparing the protective abilities and qualities of memory and naïve cells have been mostly performed in acute infections, and little is known about their roles during chronic infections. Herein, we show that memory cells dominate over naïve cells and are protective when present in large enough numbers to quickly reduce infection. In contrast, when infection is not rapidly reduced, memory cells are quickly lost, unlike naïve cells. This loss of memory cells is due to (i) an early block in cell proliferation, (ii) selective regulation by the inhibitory receptor 2B4, and (iii) increased reliance on CD4 T cell help. These findings have important implications towards the design of T cell vaccines against chronic infections and tumors."}
{"STANDARD_NAME":"GSE30962_PRIMARY_VS_SECONDARY_CHRONIC_LCMV_INF_CD8_TCELL_DN","SYSTEMATIC_NAME":"M5045","ORGANISM":"Mus musculus","PMID":"21856186","AUTHORS":"West EE,Youngblood B,Tan WG,Jin HT,Araki K,Alexe G,Konieczny BT,Calpe S,Freeman GJ,Terhorst C,Haining WN,Ahmed R.","GEOID":"GSE30962","EXACT_SOURCE":"GSE30962_1571_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of splenic primary CD8 effector T cells at day 8 post-chronic infection versus splenic secondary CD8 effector T cells at day 8 post-chronic infection.","DESCRIPTION_FULL":"Understanding the response of memory CD8 T cells to persistent antigen re-stimulation and the role of CD4 T cell help is critical to the design of successful vaccines for chronic diseases. However, studies comparing the protective abilities and qualities of memory and naïve cells have been mostly performed in acute infections, and little is known about their roles during chronic infections. Herein, we show that memory cells dominate over naïve cells and are protective when present in large enough numbers to quickly reduce infection. In contrast, when infection is not rapidly reduced, memory cells are quickly lost, unlike naïve cells. This loss of memory cells is due to (i) an early block in cell proliferation, (ii) selective regulation by the inhibitory receptor 2B4, and (iii) increased reliance on CD4 T cell help. These findings have important implications towards the design of T cell vaccines against chronic infections and tumors."}
{"STANDARD_NAME":"GSE30962_ACUTE_VS_CHRONIC_LCMV_PRIMARY_INF_CD8_TCELL_UP","SYSTEMATIC_NAME":"M5046","ORGANISM":"Mus musculus","PMID":"21856186","AUTHORS":"West EE,Youngblood B,Tan WG,Jin HT,Araki K,Alexe G,Konieczny BT,Calpe S,Freeman GJ,Terhorst C,Haining WN,Ahmed R.","GEOID":"GSE30962","EXACT_SOURCE":"GSE30962_1572_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of splenic primary CD8 effector T cells at day 8 post-acute infection versus splenic primary CD8 effector T cells at day 8 post-chronic infection.","DESCRIPTION_FULL":"Understanding the response of memory CD8 T cells to persistent antigen re-stimulation and the role of CD4 T cell help is critical to the design of successful vaccines for chronic diseases. However, studies comparing the protective abilities and qualities of memory and naïve cells have been mostly performed in acute infections, and little is known about their roles during chronic infections. Herein, we show that memory cells dominate over naïve cells and are protective when present in large enough numbers to quickly reduce infection. In contrast, when infection is not rapidly reduced, memory cells are quickly lost, unlike naïve cells. This loss of memory cells is due to (i) an early block in cell proliferation, (ii) selective regulation by the inhibitory receptor 2B4, and (iii) increased reliance on CD4 T cell help. These findings have important implications towards the design of T cell vaccines against chronic infections and tumors."}
{"STANDARD_NAME":"GSE30962_ACUTE_VS_CHRONIC_LCMV_PRIMARY_INF_CD8_TCELL_DN","SYSTEMATIC_NAME":"M5048","ORGANISM":"Mus musculus","PMID":"21856186","AUTHORS":"West EE,Youngblood B,Tan WG,Jin HT,Araki K,Alexe G,Konieczny BT,Calpe S,Freeman GJ,Terhorst C,Haining WN,Ahmed R.","GEOID":"GSE30962","EXACT_SOURCE":"GSE30962_1572_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of splenic primary CD8 effector T cells at day 8 post-acute infection versus splenic primary CD8 effector T cells at day 8 post-chronic infection.","DESCRIPTION_FULL":"Understanding the response of memory CD8 T cells to persistent antigen re-stimulation and the role of CD4 T cell help is critical to the design of successful vaccines for chronic diseases. However, studies comparing the protective abilities and qualities of memory and naïve cells have been mostly performed in acute infections, and little is known about their roles during chronic infections. Herein, we show that memory cells dominate over naïve cells and are protective when present in large enough numbers to quickly reduce infection. In contrast, when infection is not rapidly reduced, memory cells are quickly lost, unlike naïve cells. This loss of memory cells is due to (i) an early block in cell proliferation, (ii) selective regulation by the inhibitory receptor 2B4, and (iii) increased reliance on CD4 T cell help. These findings have important implications towards the design of T cell vaccines against chronic infections and tumors."}
{"STANDARD_NAME":"GSE30962_ACUTE_VS_CHRONIC_LCMV_SECONDARY_INF_CD8_TCELL_UP","SYSTEMATIC_NAME":"M5049","ORGANISM":"Mus musculus","PMID":"21856186","AUTHORS":"West EE,Youngblood B,Tan WG,Jin HT,Araki K,Alexe G,Konieczny BT,Calpe S,Freeman GJ,Terhorst C,Haining WN,Ahmed R.","GEOID":"GSE30962","EXACT_SOURCE":"GSE30962_1573_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of splenic secondary CD8 effector T cells at day 8 post-acute infection versus splenic secondary CD8 effector T cells at day 8 post-chronic infection.","DESCRIPTION_FULL":"Understanding the response of memory CD8 T cells to persistent antigen re-stimulation and the role of CD4 T cell help is critical to the design of successful vaccines for chronic diseases. However, studies comparing the protective abilities and qualities of memory and naïve cells have been mostly performed in acute infections, and little is known about their roles during chronic infections. Herein, we show that memory cells dominate over naïve cells and are protective when present in large enough numbers to quickly reduce infection. In contrast, when infection is not rapidly reduced, memory cells are quickly lost, unlike naïve cells. This loss of memory cells is due to (i) an early block in cell proliferation, (ii) selective regulation by the inhibitory receptor 2B4, and (iii) increased reliance on CD4 T cell help. These findings have important implications towards the design of T cell vaccines against chronic infections and tumors."}
{"STANDARD_NAME":"GSE30962_ACUTE_VS_CHRONIC_LCMV_SECONDARY_INF_CD8_TCELL_DN","SYSTEMATIC_NAME":"M5052","ORGANISM":"Mus musculus","PMID":"21856186","AUTHORS":"West EE,Youngblood B,Tan WG,Jin HT,Araki K,Alexe G,Konieczny BT,Calpe S,Freeman GJ,Terhorst C,Haining WN,Ahmed R.","GEOID":"GSE30962","EXACT_SOURCE":"GSE30962_1573_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of splenic secondary CD8 effector T cells at day 8 post-acute infection versus splenic secondary CD8 effector T cells at day 8 post-chronic infection.","DESCRIPTION_FULL":"Understanding the response of memory CD8 T cells to persistent antigen re-stimulation and the role of CD4 T cell help is critical to the design of successful vaccines for chronic diseases. However, studies comparing the protective abilities and qualities of memory and naïve cells have been mostly performed in acute infections, and little is known about their roles during chronic infections. Herein, we show that memory cells dominate over naïve cells and are protective when present in large enough numbers to quickly reduce infection. In contrast, when infection is not rapidly reduced, memory cells are quickly lost, unlike naïve cells. This loss of memory cells is due to (i) an early block in cell proliferation, (ii) selective regulation by the inhibitory receptor 2B4, and (iii) increased reliance on CD4 T cell help. These findings have important implications towards the design of T cell vaccines against chronic infections and tumors."}
{"STANDARD_NAME":"GSE31082_DN_VS_DP_THYMOCYTE_UP","SYSTEMATIC_NAME":"M5054","ORGANISM":"Mus musculus","PMID":"21873191","AUTHORS":"Egawa T,Littman DR.","GEOID":"GSE31082","EXACT_SOURCE":"GSE31082_2167_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD4- [GeneID=920] CD8- thymocytes versus CD4+ [GeneID=920] CD8+ thymocytes.","DESCRIPTION_FULL":"Mouse thymocytes can be classified into four major subsets based on expression of CD4 and CD8 co-receptors. CD4-CD8- (double negative, DN) cells become CD4+CD8+ (double positive, DP) cells following productive T cell receptor (TCR) beta chain rearrangement. A small proportion of DP cells are selected through interaction of clonal TCRalpha/beta and MHC self peptide complex expressed on thymic stromal cells. DP cell expressing MHC class I-restricted TCR become CD4-CD8+ cells, which will finally differentiate into cytotoxic T cells, while MHC class II restricted selection generates CD4+CD8- helper lineage T cells. We used microarrays to identify genes important for thymocyte differentiation and lineage determination by profiling gene expression in different thymocyte subsets."}
{"STANDARD_NAME":"GSE31082_DN_VS_DP_THYMOCYTE_DN","SYSTEMATIC_NAME":"M5055","ORGANISM":"Mus musculus","PMID":"21873191","AUTHORS":"Egawa T,Littman DR.","GEOID":"GSE31082","EXACT_SOURCE":"GSE31082_2167_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD4- [GeneID=920] CD8- thymocytes versus CD4+ [GeneID=920] CD8+ thymocytes.","DESCRIPTION_FULL":"Mouse thymocytes can be classified into four major subsets based on expression of CD4 and CD8 co-receptors. CD4-CD8- (double negative, DN) cells become CD4+CD8+ (double positive, DP) cells following productive T cell receptor (TCR) beta chain rearrangement. A small proportion of DP cells are selected through interaction of clonal TCRalpha/beta and MHC self peptide complex expressed on thymic stromal cells. DP cell expressing MHC class I-restricted TCR become CD4-CD8+ cells, which will finally differentiate into cytotoxic T cells, while MHC class II restricted selection generates CD4+CD8- helper lineage T cells. We used microarrays to identify genes important for thymocyte differentiation and lineage determination by profiling gene expression in different thymocyte subsets."}
{"STANDARD_NAME":"GSE31082_DN_VS_CD4_SP_THYMOCYTE_UP","SYSTEMATIC_NAME":"M5057","ORGANISM":"Mus musculus","PMID":"21873191","AUTHORS":"Egawa T,Littman DR.","GEOID":"GSE31082","EXACT_SOURCE":"GSE31082_2168_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD4- [GeneID=920] CD8- thymocytes versus CD4+ [GeneID=920] CD8- thymocytes.","DESCRIPTION_FULL":"Mouse thymocytes can be classified into four major subsets based on expression of CD4 and CD8 co-receptors. CD4-CD8- (double negative, DN) cells become CD4+CD8+ (double positive, DP) cells following productive T cell receptor (TCR) beta chain rearrangement. A small proportion of DP cells are selected through interaction of clonal TCRalpha/beta and MHC self peptide complex expressed on thymic stromal cells. DP cell expressing MHC class I-restricted TCR become CD4-CD8+ cells, which will finally differentiate into cytotoxic T cells, while MHC class II restricted selection generates CD4+CD8- helper lineage T cells. We used microarrays to identify genes important for thymocyte differentiation and lineage determination by profiling gene expression in different thymocyte subsets."}
{"STANDARD_NAME":"GSE31082_DN_VS_CD4_SP_THYMOCYTE_DN","SYSTEMATIC_NAME":"M5059","ORGANISM":"Mus musculus","PMID":"21873191","AUTHORS":"Egawa T,Littman DR.","GEOID":"GSE31082","EXACT_SOURCE":"GSE31082_2168_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD4- [GeneID=920] CD8- thymocytes versus CD4+ [GeneID=920] CD8- thymocytes.","DESCRIPTION_FULL":"Mouse thymocytes can be classified into four major subsets based on expression of CD4 and CD8 co-receptors. CD4-CD8- (double negative, DN) cells become CD4+CD8+ (double positive, DP) cells following productive T cell receptor (TCR) beta chain rearrangement. A small proportion of DP cells are selected through interaction of clonal TCRalpha/beta and MHC self peptide complex expressed on thymic stromal cells. DP cell expressing MHC class I-restricted TCR become CD4-CD8+ cells, which will finally differentiate into cytotoxic T cells, while MHC class II restricted selection generates CD4+CD8- helper lineage T cells. We used microarrays to identify genes important for thymocyte differentiation and lineage determination by profiling gene expression in different thymocyte subsets."}
{"STANDARD_NAME":"GSE31082_DN_VS_CD8_SP_THYMOCYTE_UP","SYSTEMATIC_NAME":"M5061","ORGANISM":"Mus musculus","PMID":"21873191","AUTHORS":"Egawa T,Littman DR.","GEOID":"GSE31082","EXACT_SOURCE":"GSE31082_2169_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD4- [GeneID=920] CD8- thymocytes versus CD4- [GeneID=920] CD8+ thymocytes.","DESCRIPTION_FULL":"Mouse thymocytes can be classified into four major subsets based on expression of CD4 and CD8 co-receptors. CD4-CD8- (double negative, DN) cells become CD4+CD8+ (double positive, DP) cells following productive T cell receptor (TCR) beta chain rearrangement. A small proportion of DP cells are selected through interaction of clonal TCRalpha/beta and MHC self peptide complex expressed on thymic stromal cells. DP cell expressing MHC class I-restricted TCR become CD4-CD8+ cells, which will finally differentiate into cytotoxic T cells, while MHC class II restricted selection generates CD4+CD8- helper lineage T cells. We used microarrays to identify genes important for thymocyte differentiation and lineage determination by profiling gene expression in different thymocyte subsets."}
{"STANDARD_NAME":"GSE31082_DN_VS_CD8_SP_THYMOCYTE_DN","SYSTEMATIC_NAME":"M5063","ORGANISM":"Mus musculus","PMID":"21873191","AUTHORS":"Egawa T,Littman DR.","GEOID":"GSE31082","EXACT_SOURCE":"GSE31082_2169_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD4- [GeneID=920] CD8- thymocytes versus CD4- [GeneID=920] CD8+ thymocytes.","DESCRIPTION_FULL":"Mouse thymocytes can be classified into four major subsets based on expression of CD4 and CD8 co-receptors. CD4-CD8- (double negative, DN) cells become CD4+CD8+ (double positive, DP) cells following productive T cell receptor (TCR) beta chain rearrangement. A small proportion of DP cells are selected through interaction of clonal TCRalpha/beta and MHC self peptide complex expressed on thymic stromal cells. DP cell expressing MHC class I-restricted TCR become CD4-CD8+ cells, which will finally differentiate into cytotoxic T cells, while MHC class II restricted selection generates CD4+CD8- helper lineage T cells. We used microarrays to identify genes important for thymocyte differentiation and lineage determination by profiling gene expression in different thymocyte subsets."}
{"STANDARD_NAME":"GSE31082_DP_VS_CD4_SP_THYMOCYTE_UP","SYSTEMATIC_NAME":"M5064","ORGANISM":"Mus musculus","PMID":"21873191","AUTHORS":"Egawa T,Littman DR.","GEOID":"GSE31082","EXACT_SOURCE":"GSE31082_2170_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD4+ [GeneID=920] CD8+ thymocytes versus CD4+ [GeneID=920] CD8- thymocytes.","DESCRIPTION_FULL":"Mouse thymocytes can be classified into four major subsets based on expression of CD4 and CD8 co-receptors. CD4-CD8- (double negative, DN) cells become CD4+CD8+ (double positive, DP) cells following productive T cell receptor (TCR) beta chain rearrangement. A small proportion of DP cells are selected through interaction of clonal TCRalpha/beta and MHC self peptide complex expressed on thymic stromal cells. DP cell expressing MHC class I-restricted TCR become CD4-CD8+ cells, which will finally differentiate into cytotoxic T cells, while MHC class II restricted selection generates CD4+CD8- helper lineage T cells. We used microarrays to identify genes important for thymocyte differentiation and lineage determination by profiling gene expression in different thymocyte subsets."}
{"STANDARD_NAME":"GSE31082_DP_VS_CD4_SP_THYMOCYTE_DN","SYSTEMATIC_NAME":"M5065","ORGANISM":"Mus musculus","PMID":"21873191","AUTHORS":"Egawa T,Littman DR.","GEOID":"GSE31082","EXACT_SOURCE":"GSE31082_2170_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD4+ [GeneID=920] CD8+ thymocytes versus CD4- [GeneID=920] CD8+ thymocytes.","DESCRIPTION_FULL":"Mouse thymocytes can be classified into four major subsets based on expression of CD4 and CD8 co-receptors. CD4-CD8- (double negative, DN) cells become CD4+CD8+ (double positive, DP) cells following productive T cell receptor (TCR) beta chain rearrangement. A small proportion of DP cells are selected through interaction of clonal TCRalpha/beta and MHC self peptide complex expressed on thymic stromal cells. DP cell expressing MHC class I-restricted TCR become CD4-CD8+ cells, which will finally differentiate into cytotoxic T cells, while MHC class II restricted selection generates CD4+CD8- helper lineage T cells. We used microarrays to identify genes important for thymocyte differentiation and lineage determination by profiling gene expression in different thymocyte subsets."}
{"STANDARD_NAME":"GSE31082_DP_VS_CD8_SP_THYMOCYTE_UP","SYSTEMATIC_NAME":"M5066","ORGANISM":"Mus musculus","PMID":"21873191","AUTHORS":"Egawa T,Littman DR.","GEOID":"GSE31082","EXACT_SOURCE":"GSE31082_2171_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD4+ [GeneID=920] CD8+ thymocytes versus CD4- [GeneID=920] CD8+ thymocytes.","DESCRIPTION_FULL":"Mouse thymocytes can be classified into four major subsets based on expression of CD4 and CD8 co-receptors. CD4-CD8- (double negative, DN) cells become CD4+CD8+ (double positive, DP) cells following productive T cell receptor (TCR) beta chain rearrangement. A small proportion of DP cells are selected through interaction of clonal TCRalpha/beta and MHC self peptide complex expressed on thymic stromal cells. DP cell expressing MHC class I-restricted TCR become CD4-CD8+ cells, which will finally differentiate into cytotoxic T cells, while MHC class II restricted selection generates CD4+CD8- helper lineage T cells. We used microarrays to identify genes important for thymocyte differentiation and lineage determination by profiling gene expression in different thymocyte subsets."}
{"STANDARD_NAME":"GSE31082_DP_VS_CD8_SP_THYMOCYTE_DN","SYSTEMATIC_NAME":"M5068","ORGANISM":"Mus musculus","PMID":"21873191","AUTHORS":"Egawa T,Littman DR.","GEOID":"GSE31082","EXACT_SOURCE":"GSE31082_2171_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD4+ [GeneID=920] CD8+ thymocytes versus CD4- [GeneID=920] CD8+ thymocytes.","DESCRIPTION_FULL":"Mouse thymocytes can be classified into four major subsets based on expression of CD4 and CD8 co-receptors. CD4-CD8- (double negative, DN) cells become CD4+CD8+ (double positive, DP) cells following productive T cell receptor (TCR) beta chain rearrangement. A small proportion of DP cells are selected through interaction of clonal TCRalpha/beta and MHC self peptide complex expressed on thymic stromal cells. DP cell expressing MHC class I-restricted TCR become CD4-CD8+ cells, which will finally differentiate into cytotoxic T cells, while MHC class II restricted selection generates CD4+CD8- helper lineage T cells. We used microarrays to identify genes important for thymocyte differentiation and lineage determination by profiling gene expression in different thymocyte subsets."}
{"STANDARD_NAME":"GSE31082_CD4_VS_CD8_SP_THYMOCYTE_UP","SYSTEMATIC_NAME":"M5069","ORGANISM":"Mus musculus","PMID":"21873191","AUTHORS":"Egawa T,Littman DR.","GEOID":"GSE31082","EXACT_SOURCE":"GSE31082_2172_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD4+ [GeneID=920] CD8- thymocytes versus CD4- [GeneID=920] CD8+ thymocytes.","DESCRIPTION_FULL":"Mouse thymocytes can be classified into four major subsets based on expression of CD4 and CD8 co-receptors. CD4-CD8- (double negative, DN) cells become CD4+CD8+ (double positive, DP) cells following productive T cell receptor (TCR) beta chain rearrangement. A small proportion of DP cells are selected through interaction of clonal TCRalpha/beta and MHC self peptide complex expressed on thymic stromal cells. DP cell expressing MHC class I-restricted TCR become CD4-CD8+ cells, which will finally differentiate into cytotoxic T cells, while MHC class II restricted selection generates CD4+CD8- helper lineage T cells. We used microarrays to identify genes important for thymocyte differentiation and lineage determination by profiling gene expression in different thymocyte subsets."}
{"STANDARD_NAME":"GSE31082_CD4_VS_CD8_SP_THYMOCYTE_DN","SYSTEMATIC_NAME":"M5070","ORGANISM":"Mus musculus","PMID":"21873191","AUTHORS":"Egawa T,Littman DR.","GEOID":"GSE31082","EXACT_SOURCE":"GSE31082_2172_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD4+ [GeneID=920] CD8- thymocytes versus CD4- [GeneID=920] CD8+ thymocytes.","DESCRIPTION_FULL":"Mouse thymocytes can be classified into four major subsets based on expression of CD4 and CD8 co-receptors. CD4-CD8- (double negative, DN) cells become CD4+CD8+ (double positive, DP) cells following productive T cell receptor (TCR) beta chain rearrangement. A small proportion of DP cells are selected through interaction of clonal TCRalpha/beta and MHC self peptide complex expressed on thymic stromal cells. DP cell expressing MHC class I-restricted TCR become CD4-CD8+ cells, which will finally differentiate into cytotoxic T cells, while MHC class II restricted selection generates CD4+CD8- helper lineage T cells. We used microarrays to identify genes important for thymocyte differentiation and lineage determination by profiling gene expression in different thymocyte subsets."}
{"STANDARD_NAME":"GSE32423_MEMORY_VS_NAIVE_CD8_TCELL_UP","SYSTEMATIC_NAME":"M5072","ORGANISM":"Mus musculus","PMID":"22942430","AUTHORS":"Ventre E,Brinza L,Schicklin S,Mafille J,Coupet CA,Marçais A,Djebali S,Jubin V,Walzer T,Marvel J","GEOID":"GSE32423","EXACT_SOURCE":"GSE32423_1395_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of memory CD8 T cells versus naive CD8 T cells.","DESCRIPTION_FULL":"Effects of IL-4 on CD8 T cells functions are largely unknown. IL-4 induces survival and proliferation of CD8 T cells, but several studies suggest that IL-4 could also affect several functions of CD8 T cells such as cytotoxicity. Our team has shown that IL-4 repress the expression of Ccl5 in vitro. To define more precisely the impact of IL-4 on CD8 T cells, we performed a whole genome expression microarray analysis of naive and memory CD8 T cells cultured in presence or absence of IL-4. This approach allowed us to define the IL4-gene-expression signature on CD8 T cells."}
{"STANDARD_NAME":"GSE32423_MEMORY_VS_NAIVE_CD8_TCELL_DN","SYSTEMATIC_NAME":"M5073","ORGANISM":"Mus musculus","PMID":"22942430","AUTHORS":"Ventre E,Brinza L,Schicklin S,Mafille J,Coupet CA,Marçais A,Djebali S,Jubin V,Walzer T,Marvel J","GEOID":"GSE32423","EXACT_SOURCE":"GSE32423_1395_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of memory CD8 T cells versus naive CD8 T cells.","DESCRIPTION_FULL":"Effects of IL-4 on CD8 T cells functions are largely unknown. IL-4 induces survival and proliferation of CD8 T cells, but several studies suggest that IL-4 could also affect several functions of CD8 T cells such as cytotoxicity. Our team has shown that IL-4 repress the expression of Ccl5 in vitro. To define more precisely the impact of IL-4 on CD8 T cells, we performed a whole genome expression microarray analysis of naive and memory CD8 T cells cultured in presence or absence of IL-4. This approach allowed us to define the IL4-gene-expression signature on CD8 T cells."}
{"STANDARD_NAME":"GSE32423_MEMORY_VS_NAIVE_CD8_TCELL_IL7_UP","SYSTEMATIC_NAME":"M5074","ORGANISM":"Mus musculus","PMID":"22942430","AUTHORS":"Ventre E,Brinza L,Schicklin S,Mafille J,Coupet CA,Marçais A,Djebali S,Jubin V,Walzer T,Marvel J","GEOID":"GSE32423","EXACT_SOURCE":"GSE32423_1396_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of memory CD8 T cells treated with IL7 [GeneID=3574] versus naive CD8 T cells treated with IL7 [GeneID=3574].","DESCRIPTION_FULL":"Effects of IL-4 on CD8 T cells functions are largely unknown. IL-4 induces survival and proliferation of CD8 T cells, but several studies suggest that IL-4 could also affect several functions of CD8 T cells such as cytotoxicity. Our team has shown that IL-4 repress the expression of Ccl5 in vitro. To define more precisely the impact of IL-4 on CD8 T cells, we performed a whole genome expression microarray analysis of naive and memory CD8 T cells cultured in presence or absence of IL-4. This approach allowed us to define the IL4-gene-expression signature on CD8 T cells."}
{"STANDARD_NAME":"GSE32423_MEMORY_VS_NAIVE_CD8_TCELL_IL7_DN","SYSTEMATIC_NAME":"M5078","ORGANISM":"Mus musculus","PMID":"22942430","AUTHORS":"Ventre E,Brinza L,Schicklin S,Mafille J,Coupet CA,Marçais A,Djebali S,Jubin V,Walzer T,Marvel J","GEOID":"GSE32423","EXACT_SOURCE":"GSE32423_1396_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of memory CD8 T cells treated with IL7 [GeneID=3574] versus naive CD8 T cells treated with IL7 [GeneID=3574].","DESCRIPTION_FULL":"Effects of IL-4 on CD8 T cells functions are largely unknown. IL-4 induces survival and proliferation of CD8 T cells, but several studies suggest that IL-4 could also affect several functions of CD8 T cells such as cytotoxicity. Our team has shown that IL-4 repress the expression of Ccl5 in vitro. To define more precisely the impact of IL-4 on CD8 T cells, we performed a whole genome expression microarray analysis of naive and memory CD8 T cells cultured in presence or absence of IL-4. This approach allowed us to define the IL4-gene-expression signature on CD8 T cells."}
{"STANDARD_NAME":"GSE32423_MEMORY_VS_NAIVE_CD8_TCELL_IL7_IL4_UP","SYSTEMATIC_NAME":"M5079","ORGANISM":"Mus musculus","PMID":"22942430","AUTHORS":"Ventre E,Brinza L,Schicklin S,Mafille J,Coupet CA,Marçais A,Djebali S,Jubin V,Walzer T,Marvel J","GEOID":"GSE32423","EXACT_SOURCE":"GSE32423_1397_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of memory CD8 T cells treated with IL4 [GeneID=3565] and IL7 [GeneID=3574] versus naive CD8 T cells treated with IL4 [GeneID=3565] and IL7 [GeneID=3574].","DESCRIPTION_FULL":"Effects of IL-4 on CD8 T cells functions are largely unknown. IL-4 induces survival and proliferation of CD8 T cells, but several studies suggest that IL-4 could also affect several functions of CD8 T cells such as cytotoxicity. Our team has shown that IL-4 repress the expression of Ccl5 in vitro. To define more precisely the impact of IL-4 on CD8 T cells, we performed a whole genome expression microarray analysis of naive and memory CD8 T cells cultured in presence or absence of IL-4. This approach allowed us to define the IL4-gene-expression signature on CD8 T cells."}
{"STANDARD_NAME":"GSE32423_MEMORY_VS_NAIVE_CD8_TCELL_IL7_IL4_DN","SYSTEMATIC_NAME":"M5081","ORGANISM":"Mus musculus","PMID":"22942430","AUTHORS":"Ventre E,Brinza L,Schicklin S,Mafille J,Coupet CA,Marçais A,Djebali S,Jubin V,Walzer T,Marvel J","GEOID":"GSE32423","EXACT_SOURCE":"GSE32423_1397_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of memory CD8 T cells treated with IL4 [GeneID=3565] and IL7 [GeneID=3574] versus naive CD8 T cells treated with IL4 [GeneID=3565] and IL7 [GeneID=3574].","DESCRIPTION_FULL":"Effects of IL-4 on CD8 T cells functions are largely unknown. IL-4 induces survival and proliferation of CD8 T cells, but several studies suggest that IL-4 could also affect several functions of CD8 T cells such as cytotoxicity. Our team has shown that IL-4 repress the expression of Ccl5 in vitro. To define more precisely the impact of IL-4 on CD8 T cells, we performed a whole genome expression microarray analysis of naive and memory CD8 T cells cultured in presence or absence of IL-4. This approach allowed us to define the IL4-gene-expression signature on CD8 T cells."}
{"STANDARD_NAME":"GSE32423_CTRL_VS_IL7_MEMORY_CD8_TCELL_UP","SYSTEMATIC_NAME":"M5083","ORGANISM":"Mus musculus","PMID":"22942430","AUTHORS":"Ventre E,Brinza L,Schicklin S,Mafille J,Coupet CA,Marçais A,Djebali S,Jubin V,Walzer T,Marvel J","GEOID":"GSE32423","EXACT_SOURCE":"GSE32423_1398_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of memory CD8 T cells versus those treated with IL7 [GeneID=3574].","DESCRIPTION_FULL":"Effects of IL-4 on CD8 T cells functions are largely unknown. IL-4 induces survival and proliferation of CD8 T cells, but several studies suggest that IL-4 could also affect several functions of CD8 T cells such as cytotoxicity. Our team has shown that IL-4 repress the expression of Ccl5 in vitro. To define more precisely the impact of IL-4 on CD8 T cells, we performed a whole genome expression microarray analysis of naive and memory CD8 T cells cultured in presence or absence of IL-4. This approach allowed us to define the IL4-gene-expression signature on CD8 T cells."}
{"STANDARD_NAME":"GSE32423_CTRL_VS_IL7_MEMORY_CD8_TCELL_DN","SYSTEMATIC_NAME":"M5084","ORGANISM":"Mus musculus","PMID":"22942430","AUTHORS":"Ventre E,Brinza L,Schicklin S,Mafille J,Coupet CA,Marçais A,Djebali S,Jubin V,Walzer T,Marvel J","GEOID":"GSE32423","EXACT_SOURCE":"GSE32423_1398_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of memory CD8 T cells versus those treated with IL7 [GeneID=3574].","DESCRIPTION_FULL":"Effects of IL-4 on CD8 T cells functions are largely unknown. IL-4 induces survival and proliferation of CD8 T cells, but several studies suggest that IL-4 could also affect several functions of CD8 T cells such as cytotoxicity. Our team has shown that IL-4 repress the expression of Ccl5 in vitro. To define more precisely the impact of IL-4 on CD8 T cells, we performed a whole genome expression microarray analysis of naive and memory CD8 T cells cultured in presence or absence of IL-4. This approach allowed us to define the IL4-gene-expression signature on CD8 T cells."}
{"STANDARD_NAME":"GSE32423_CTRL_VS_IL4_MEMORY_CD8_TCELL_UP","SYSTEMATIC_NAME":"M5085","ORGANISM":"Mus musculus","PMID":"22942430","AUTHORS":"Ventre E,Brinza L,Schicklin S,Mafille J,Coupet CA,Marçais A,Djebali S,Jubin V,Walzer T,Marvel J","GEOID":"GSE32423","EXACT_SOURCE":"GSE32423_1399_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of memory CD8 T cells versus those treated with IL4 [GeneID=3565].","DESCRIPTION_FULL":"Effects of IL-4 on CD8 T cells functions are largely unknown. IL-4 induces survival and proliferation of CD8 T cells, but several studies suggest that IL-4 could also affect several functions of CD8 T cells such as cytotoxicity. Our team has shown that IL-4 repress the expression of Ccl5 in vitro. To define more precisely the impact of IL-4 on CD8 T cells, we performed a whole genome expression microarray analysis of naive and memory CD8 T cells cultured in presence or absence of IL-4. This approach allowed us to define the IL4-gene-expression signature on CD8 T cells."}
{"STANDARD_NAME":"GSE32423_CTRL_VS_IL4_MEMORY_CD8_TCELL_DN","SYSTEMATIC_NAME":"M5086","ORGANISM":"Mus musculus","PMID":"22942430","AUTHORS":"Ventre E,Brinza L,Schicklin S,Mafille J,Coupet CA,Marçais A,Djebali S,Jubin V,Walzer T,Marvel J","GEOID":"GSE32423","EXACT_SOURCE":"GSE32423_1399_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of memory CD8 T cells versus those treated with IL4 [GeneID=3565].","DESCRIPTION_FULL":"Effects of IL-4 on CD8 T cells functions are largely unknown. IL-4 induces survival and proliferation of CD8 T cells, but several studies suggest that IL-4 could also affect several functions of CD8 T cells such as cytotoxicity. Our team has shown that IL-4 repress the expression of Ccl5 in vitro. To define more precisely the impact of IL-4 on CD8 T cells, we performed a whole genome expression microarray analysis of naive and memory CD8 T cells cultured in presence or absence of IL-4. This approach allowed us to define the IL4-gene-expression signature on CD8 T cells."}
{"STANDARD_NAME":"GSE32423_CTRL_VS_IL7_IL4_MEMORY_CD8_TCELL_UP","SYSTEMATIC_NAME":"M5087","ORGANISM":"Mus musculus","PMID":"22942430","AUTHORS":"Ventre E,Brinza L,Schicklin S,Mafille J,Coupet CA,Marçais A,Djebali S,Jubin V,Walzer T,Marvel J","GEOID":"GSE32423","EXACT_SOURCE":"GSE32423_1400_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of memory CD8 T cells versus those treated with IL4 [GeneID=3565] and IL7 [GeneID=3574].","DESCRIPTION_FULL":"Effects of IL-4 on CD8 T cells functions are largely unknown. IL-4 induces survival and proliferation of CD8 T cells, but several studies suggest that IL-4 could also affect several functions of CD8 T cells such as cytotoxicity. Our team has shown that IL-4 repress the expression of Ccl5 in vitro. To define more precisely the impact of IL-4 on CD8 T cells, we performed a whole genome expression microarray analysis of naive and memory CD8 T cells cultured in presence or absence of IL-4. This approach allowed us to define the IL4-gene-expression signature on CD8 T cells."}
{"STANDARD_NAME":"GSE32423_CTRL_VS_IL7_IL4_MEMORY_CD8_TCELL_DN","SYSTEMATIC_NAME":"M5088","ORGANISM":"Mus musculus","PMID":"22942430","AUTHORS":"Ventre E,Brinza L,Schicklin S,Mafille J,Coupet CA,Marçais A,Djebali S,Jubin V,Walzer T,Marvel J","GEOID":"GSE32423","EXACT_SOURCE":"GSE32423_1400_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of memory CD8 T cells versus those treated with IL4 [GeneID=3565] and IL7 [GeneID=3574].","DESCRIPTION_FULL":"Effects of IL-4 on CD8 T cells functions are largely unknown. IL-4 induces survival and proliferation of CD8 T cells, but several studies suggest that IL-4 could also affect several functions of CD8 T cells such as cytotoxicity. Our team has shown that IL-4 repress the expression of Ccl5 in vitro. To define more precisely the impact of IL-4 on CD8 T cells, we performed a whole genome expression microarray analysis of naive and memory CD8 T cells cultured in presence or absence of IL-4. This approach allowed us to define the IL4-gene-expression signature on CD8 T cells."}
{"STANDARD_NAME":"GSE32423_IL7_VS_IL7_IL4_MEMORY_CD8_TCELL_UP","SYSTEMATIC_NAME":"M5089","ORGANISM":"Mus musculus","PMID":"22942430","AUTHORS":"Ventre E,Brinza L,Schicklin S,Mafille J,Coupet CA,Marçais A,Djebali S,Jubin V,Walzer T,Marvel J","GEOID":"GSE32423","EXACT_SOURCE":"GSE32423_1401_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of memory CD8 T cells treated with IL7 [GeneID=3574] versus those treated with IL4 [GeneID=3565] and IL7 [GeneID=3574].","DESCRIPTION_FULL":"Effects of IL-4 on CD8 T cells functions are largely unknown. IL-4 induces survival and proliferation of CD8 T cells, but several studies suggest that IL-4 could also affect several functions of CD8 T cells such as cytotoxicity. Our team has shown that IL-4 repress the expression of Ccl5 in vitro. To define more precisely the impact of IL-4 on CD8 T cells, we performed a whole genome expression microarray analysis of naive and memory CD8 T cells cultured in presence or absence of IL-4. This approach allowed us to define the IL4-gene-expression signature on CD8 T cells."}
{"STANDARD_NAME":"GSE32423_IL7_VS_IL7_IL4_MEMORY_CD8_TCELL_DN","SYSTEMATIC_NAME":"M5092","ORGANISM":"Mus musculus","PMID":"22942430","AUTHORS":"Ventre E,Brinza L,Schicklin S,Mafille J,Coupet CA,Marçais A,Djebali S,Jubin V,Walzer T,Marvel J","GEOID":"GSE32423","EXACT_SOURCE":"GSE32423_1401_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of memory CD8 T cells treated with IL7 [GeneID=3574] versus those treated with IL4 [GeneID=3565] and IL7 [GeneID=3574].","DESCRIPTION_FULL":"Effects of IL-4 on CD8 T cells functions are largely unknown. IL-4 induces survival and proliferation of CD8 T cells, but several studies suggest that IL-4 could also affect several functions of CD8 T cells such as cytotoxicity. Our team has shown that IL-4 repress the expression of Ccl5 in vitro. To define more precisely the impact of IL-4 on CD8 T cells, we performed a whole genome expression microarray analysis of naive and memory CD8 T cells cultured in presence or absence of IL-4. This approach allowed us to define the IL4-gene-expression signature on CD8 T cells."}
{"STANDARD_NAME":"GSE32423_IL7_VS_IL4_MEMORY_CD8_TCELL_UP","SYSTEMATIC_NAME":"M5093","ORGANISM":"Mus musculus","PMID":"22942430","AUTHORS":"Ventre E,Brinza L,Schicklin S,Mafille J,Coupet CA,Marçais A,Djebali S,Jubin V,Walzer T,Marvel J","GEOID":"GSE32423","EXACT_SOURCE":"GSE32423_1402_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of memory CD8 T cells treated with IL7 [GeneID=3574] versus those treated with IL4 [GeneID=3565].","DESCRIPTION_FULL":"Effects of IL-4 on CD8 T cells functions are largely unknown. IL-4 induces survival and proliferation of CD8 T cells, but several studies suggest that IL-4 could also affect several functions of CD8 T cells such as cytotoxicity. Our team has shown that IL-4 repress the expression of Ccl5 in vitro. To define more precisely the impact of IL-4 on CD8 T cells, we performed a whole genome expression microarray analysis of naive and memory CD8 T cells cultured in presence or absence of IL-4. This approach allowed us to define the IL4-gene-expression signature on CD8 T cells."}
{"STANDARD_NAME":"GSE32423_IL7_VS_IL4_MEMORY_CD8_TCELL_DN","SYSTEMATIC_NAME":"M5094","ORGANISM":"Mus musculus","PMID":"22942430","AUTHORS":"Ventre E,Brinza L,Schicklin S,Mafille J,Coupet CA,Marçais A,Djebali S,Jubin V,Walzer T,Marvel J","GEOID":"GSE32423","EXACT_SOURCE":"GSE32423_1402_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of memory CD8 T cells treated with IL7 [GeneID=3574] versus those treated with IL4 [GeneID=3565].","DESCRIPTION_FULL":"Effects of IL-4 on CD8 T cells functions are largely unknown. IL-4 induces survival and proliferation of CD8 T cells, but several studies suggest that IL-4 could also affect several functions of CD8 T cells such as cytotoxicity. Our team has shown that IL-4 repress the expression of Ccl5 in vitro. To define more precisely the impact of IL-4 on CD8 T cells, we performed a whole genome expression microarray analysis of naive and memory CD8 T cells cultured in presence or absence of IL-4. This approach allowed us to define the IL4-gene-expression signature on CD8 T cells."}
{"STANDARD_NAME":"GSE32423_IL7_VS_IL7_IL4_NAIVE_CD8_TCELL_UP","SYSTEMATIC_NAME":"M5095","ORGANISM":"Mus musculus","PMID":"22942430","AUTHORS":"Ventre E,Brinza L,Schicklin S,Mafille J,Coupet CA,Marçais A,Djebali S,Jubin V,Walzer T,Marvel J","GEOID":"GSE32423","EXACT_SOURCE":"GSE32423_1403_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive CD8 T cells treated with IL7 [GeneID=3574] versus those treated with IL4 [GeneID=3565] and IL7 [GeneID=3574].","DESCRIPTION_FULL":"Effects of IL-4 on CD8 T cells functions are largely unknown. IL-4 induces survival and proliferation of CD8 T cells, but several studies suggest that IL-4 could also affect several functions of CD8 T cells such as cytotoxicity. Our team has shown that IL-4 repress the expression of Ccl5 in vitro. To define more precisely the impact of IL-4 on CD8 T cells, we performed a whole genome expression microarray analysis of naive and memory CD8 T cells cultured in presence or absence of IL-4. This approach allowed us to define the IL4-gene-expression signature on CD8 T cells."}
{"STANDARD_NAME":"GSE32423_IL7_VS_IL7_IL4_NAIVE_CD8_TCELL_DN","SYSTEMATIC_NAME":"M5096","ORGANISM":"Mus musculus","PMID":"22942430","AUTHORS":"Ventre E,Brinza L,Schicklin S,Mafille J,Coupet CA,Marçais A,Djebali S,Jubin V,Walzer T,Marvel J","GEOID":"GSE32423","EXACT_SOURCE":"GSE32423_1403_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive CD8 T cells treated with IL7 [GeneID=3574] versus those treated with IL4 [GeneID=3565] and IL7 [GeneID=3574].","DESCRIPTION_FULL":"Effects of IL-4 on CD8 T cells functions are largely unknown. IL-4 induces survival and proliferation of CD8 T cells, but several studies suggest that IL-4 could also affect several functions of CD8 T cells such as cytotoxicity. Our team has shown that IL-4 repress the expression of Ccl5 in vitro. To define more precisely the impact of IL-4 on CD8 T cells, we performed a whole genome expression microarray analysis of naive and memory CD8 T cells cultured in presence or absence of IL-4. This approach allowed us to define the IL4-gene-expression signature on CD8 T cells."}
{"STANDARD_NAME":"GSE3337_CTRL_VS_4H_IFNG_IN_CD8POS_DC_UP","SYSTEMATIC_NAME":"M5097","ORGANISM":"Mus musculus","PMID":"16339401","AUTHORS":"Orabona C,Puccetti P,Vacca C,Bicciato S,Luchini A,Fallarino F,Bianchi R,Velardi E,Perruccio K,Velardi A,Bronte V,Fioretti MC,Grohmann U.","GEOID":"GSE3337","EXACT_SOURCE":"GSE3337_1053_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated CD8+ dendritic cells (DC) at 4 h versus those treated with IFNG [GeneID=3458] at 4 h.","DESCRIPTION_FULL":"Although much is known on the transcriptional profiles of dendritic cells (DCs) during maturation, the molecular switches critical for the acquisition of a tolerogenic program by DCs are still obscure. In the present study, we explored the gene expression pattern of CD8+ DCs purified from the mouse spleen and treated with interferon (IFN)-gamma. The cytokine, indeed, potentiates the tolerogenic potential of this DC subset via induction of the immunosuppressive tryptophan catabolism mediated by indoleamine 2,3-dioxygenase (IDO). By comparing the expression of the IFN-gamma-modulated genes in IDO+ versus IDO- murine DCs, we found a consistent and selective association of the IDO-competent phenotype with the down-modulation of the Tyrobp gene, encoding the adapter molecule DAP12. IFN-gamma-mediated down-modulation of this gene involved IFN consensus sequence binding protein (ICSBP), a transcription factor also known as IRF-8. While silencing of Tyrobp conferred IDO functional competence on IDO- DCs, silencing of Icsbp1 in IDO+ cells completely abolished IDO expression and function. In parallel, silencing of TYROBP conferred IDO competence on human IDO- DCs while silencing of IRF8 impaired IDO expression and activity in human IDO+ DCs. Therefore, the same small set of molecular switches controls IDO competence in murine and human DCs."}
{"STANDARD_NAME":"GSE3337_CTRL_VS_4H_IFNG_IN_CD8POS_DC_DN","SYSTEMATIC_NAME":"M5099","ORGANISM":"Mus musculus","PMID":"16339401","AUTHORS":"Orabona C,Puccetti P,Vacca C,Bicciato S,Luchini A,Fallarino F,Bianchi R,Velardi E,Perruccio K,Velardi A,Bronte V,Fioretti MC,Grohmann U.","GEOID":"GSE3337","EXACT_SOURCE":"GSE3337_1053_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated CD8+ dendritic cells (DC) at 4 h versus those treated with IFNG [GeneID=3458] at 4 h.","DESCRIPTION_FULL":"Although much is known on the transcriptional profiles of dendritic cells (DCs) during maturation, the molecular switches critical for the acquisition of a tolerogenic program by DCs are still obscure. In the present study, we explored the gene expression pattern of CD8+ DCs purified from the mouse spleen and treated with interferon (IFN)-gamma. The cytokine, indeed, potentiates the tolerogenic potential of this DC subset via induction of the immunosuppressive tryptophan catabolism mediated by indoleamine 2,3-dioxygenase (IDO). By comparing the expression of the IFN-gamma-modulated genes in IDO+ versus IDO- murine DCs, we found a consistent and selective association of the IDO-competent phenotype with the down-modulation of the Tyrobp gene, encoding the adapter molecule DAP12. IFN-gamma-mediated down-modulation of this gene involved IFN consensus sequence binding protein (ICSBP), a transcription factor also known as IRF-8. While silencing of Tyrobp conferred IDO functional competence on IDO- DCs, silencing of Icsbp1 in IDO+ cells completely abolished IDO expression and function. In parallel, silencing of TYROBP conferred IDO competence on human IDO- DCs while silencing of IRF8 impaired IDO expression and activity in human IDO+ DCs. Therefore, the same small set of molecular switches controls IDO competence in murine and human DCs."}
{"STANDARD_NAME":"GSE3337_CTRL_VS_16H_IFNG_IN_CD8POS_DC_UP","SYSTEMATIC_NAME":"M5100","ORGANISM":"Mus musculus","PMID":"16339401","AUTHORS":"Orabona C,Puccetti P,Vacca C,Bicciato S,Luchini A,Fallarino F,Bianchi R,Velardi E,Perruccio K,Velardi A,Bronte V,Fioretti MC,Grohmann U.","GEOID":"GSE3337","EXACT_SOURCE":"GSE3337_1054_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated CD8+ dendritic cells (DC) at 16 h versus those treated with IFNG [GeneID=31658] at 16 h.","DESCRIPTION_FULL":"Although much is known on the transcriptional profiles of dendritic cells (DCs) during maturation, the molecular switches critical for the acquisition of a tolerogenic program by DCs are still obscure. In the present study, we explored the gene expression pattern of CD8+ DCs purified from the mouse spleen and treated with interferon (IFN)-gamma. The cytokine, indeed, potentiates the tolerogenic potential of this DC subset via induction of the immunosuppressive tryptophan catabolism mediated by indoleamine 2,3-dioxygenase (IDO). By comparing the expression of the IFN-gamma-modulated genes in IDO+ versus IDO- murine DCs, we found a consistent and selective association of the IDO-competent phenotype with the down-modulation of the Tyrobp gene, encoding the adapter molecule DAP12. IFN-gamma-mediated down-modulation of this gene involved IFN consensus sequence binding protein (ICSBP), a transcription factor also known as IRF-8. While silencing of Tyrobp conferred IDO functional competence on IDO- DCs, silencing of Icsbp1 in IDO+ cells completely abolished IDO expression and function. In parallel, silencing of TYROBP conferred IDO competence on human IDO- DCs while silencing of IRF8 impaired IDO expression and activity in human IDO+ DCs. Therefore, the same small set of molecular switches controls IDO competence in murine and human DCs."}
{"STANDARD_NAME":"GSE3337_CTRL_VS_16H_IFNG_IN_CD8POS_DC_DN","SYSTEMATIC_NAME":"M5101","ORGANISM":"Mus musculus","PMID":"16339401","AUTHORS":"Orabona C,Puccetti P,Vacca C,Bicciato S,Luchini A,Fallarino F,Bianchi R,Velardi E,Perruccio K,Velardi A,Bronte V,Fioretti MC,Grohmann U.","GEOID":"GSE3337","EXACT_SOURCE":"GSE3337_1054_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated CD8+ dendritic cells (DC) at 16 h versus those treated with IFNG [GeneID=31658] at 16 h.","DESCRIPTION_FULL":"Although much is known on the transcriptional profiles of dendritic cells (DCs) during maturation, the molecular switches critical for the acquisition of a tolerogenic program by DCs are still obscure. In the present study, we explored the gene expression pattern of CD8+ DCs purified from the mouse spleen and treated with interferon (IFN)-gamma. The cytokine, indeed, potentiates the tolerogenic potential of this DC subset via induction of the immunosuppressive tryptophan catabolism mediated by indoleamine 2,3-dioxygenase (IDO). By comparing the expression of the IFN-gamma-modulated genes in IDO+ versus IDO- murine DCs, we found a consistent and selective association of the IDO-competent phenotype with the down-modulation of the Tyrobp gene, encoding the adapter molecule DAP12. IFN-gamma-mediated down-modulation of this gene involved IFN consensus sequence binding protein (ICSBP), a transcription factor also known as IRF-8. While silencing of Tyrobp conferred IDO functional competence on IDO- DCs, silencing of Icsbp1 in IDO+ cells completely abolished IDO expression and function. In parallel, silencing of TYROBP conferred IDO competence on human IDO- DCs while silencing of IRF8 impaired IDO expression and activity in human IDO+ DCs. Therefore, the same small set of molecular switches controls IDO competence in murine and human DCs."}
{"STANDARD_NAME":"GSE3337_4H_VS_16H_IFNG_IN_CD8POS_DC_UP","SYSTEMATIC_NAME":"M5102","ORGANISM":"Mus musculus","PMID":"16339401","AUTHORS":"Orabona C,Puccetti P,Vacca C,Bicciato S,Luchini A,Fallarino F,Bianchi R,Velardi E,Perruccio K,Velardi A,Bronte V,Fioretti MC,Grohmann U.","GEOID":"GSE3337","EXACT_SOURCE":"GSE3337_1055_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated CD8+ dendritic cells (DC) at 4 h versus those treated with IFNG [GeneID=3458] at 16 h.","DESCRIPTION_FULL":"Although much is known on the transcriptional profiles of dendritic cells (DCs) during maturation, the molecular switches critical for the acquisition of a tolerogenic program by DCs are still obscure. In the present study, we explored the gene expression pattern of CD8+ DCs purified from the mouse spleen and treated with interferon (IFN)-gamma. The cytokine, indeed, potentiates the tolerogenic potential of this DC subset via induction of the immunosuppressive tryptophan catabolism mediated by indoleamine 2,3-dioxygenase (IDO). By comparing the expression of the IFN-gamma-modulated genes in IDO+ versus IDO- murine DCs, we found a consistent and selective association of the IDO-competent phenotype with the down-modulation of the Tyrobp gene, encoding the adapter molecule DAP12. IFN-gamma-mediated down-modulation of this gene involved IFN consensus sequence binding protein (ICSBP), a transcription factor also known as IRF-8. While silencing of Tyrobp conferred IDO functional competence on IDO- DCs, silencing of Icsbp1 in IDO+ cells completely abolished IDO expression and function. In parallel, silencing of TYROBP conferred IDO competence on human IDO- DCs while silencing of IRF8 impaired IDO expression and activity in human IDO+ DCs. Therefore, the same small set of molecular switches controls IDO competence in murine and human DCs."}
{"STANDARD_NAME":"GSE3337_4H_VS_16H_IFNG_IN_CD8POS_DC_DN","SYSTEMATIC_NAME":"M5104","ORGANISM":"Mus musculus","PMID":"16339401","AUTHORS":"Orabona C,Puccetti P,Vacca C,Bicciato S,Luchini A,Fallarino F,Bianchi R,Velardi E,Perruccio K,Velardi A,Bronte V,Fioretti MC,Grohmann U.","GEOID":"GSE3337","EXACT_SOURCE":"GSE3337_1055_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated CD8+ dendritic cells (DC) at 4 h versus those treated with IFNG [GeneID=3458] at 16 h.","DESCRIPTION_FULL":"Although much is known on the transcriptional profiles of dendritic cells (DCs) during maturation, the molecular switches critical for the acquisition of a tolerogenic program by DCs are still obscure. In the present study, we explored the gene expression pattern of CD8+ DCs purified from the mouse spleen and treated with interferon (IFN)-gamma. The cytokine, indeed, potentiates the tolerogenic potential of this DC subset via induction of the immunosuppressive tryptophan catabolism mediated by indoleamine 2,3-dioxygenase (IDO). By comparing the expression of the IFN-gamma-modulated genes in IDO+ versus IDO- murine DCs, we found a consistent and selective association of the IDO-competent phenotype with the down-modulation of the Tyrobp gene, encoding the adapter molecule DAP12. IFN-gamma-mediated down-modulation of this gene involved IFN consensus sequence binding protein (ICSBP), a transcription factor also known as IRF-8. While silencing of Tyrobp conferred IDO functional competence on IDO- DCs, silencing of Icsbp1 in IDO+ cells completely abolished IDO expression and function. In parallel, silencing of TYROBP conferred IDO competence on human IDO- DCs while silencing of IRF8 impaired IDO expression and activity in human IDO+ DCs. Therefore, the same small set of molecular switches controls IDO competence in murine and human DCs."}
{"STANDARD_NAME":"GSE33513_TCF7_KO_VS_HET_EARLY_THYMIC_PROGENITOR_UP","SYSTEMATIC_NAME":"M5105","ORGANISM":"Mus musculus","PMID":"22109558","AUTHORS":"Germar K,Dose M,Konstantinou T,Zhang J,Wang H,Lobry C,Arnett KL,Blacklow SC,Aifantis I,Aster JC,Gounari F.","GEOID":"GSE33513","EXACT_SOURCE":"GSE33513_2166_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of TCF7 [GeneID=6932] deficient early thymic progenitors versus the TCF7 [GeneID=6932] sufficient ones.","DESCRIPTION_FULL":"Although transcriptional programs associated with T-cell specification and commitment have been described, the functional hierarchy and the roles of key regulators in structuring/ orchestrating these programs remain unclear. Activation of Notch signaling in uncommitted precursors by the thymic stroma initiates the T-cell differentiation program. One regulator first induced in these precursors is the DNA binding protein Tcf-1, a T-cell specific mediator of Wnt signaling. Yet the specific contribution of Tcf-1 to early T-cell development and the signals inducing it in these cells remain unclear. Here we assign functional significance to Tcf-1 as a gatekeeper of T-cell fate. We show that Tcf-1 is directly activated by Notch signals. Tcf-1 is required at the earliest phase of Tcell determination for progression beyond the early thymic progenitor (ETP) stage. The global expression profile of Tcf-1 deficient progenitors indicates that basic processes of DNA metabolism are downregulated in its absence and the blocked T-cell progenitors become abortive and die by apoptosis. Our data thus add an important functional relationship to the roadmap of T-cell development. We used microarrays to detail the global programme of gene expression of mouse ETP thymocyte after Ikaros inactivation with dominant negative of Ik at different stage."}
{"STANDARD_NAME":"GSE33513_TCF7_KO_VS_HET_EARLY_THYMIC_PROGENITOR_DN","SYSTEMATIC_NAME":"M5107","ORGANISM":"Mus musculus","PMID":"22109558","AUTHORS":"Germar K,Dose M,Konstantinou T,Zhang J,Wang H,Lobry C,Arnett KL,Blacklow SC,Aifantis I,Aster JC,Gounari F.","GEOID":"GSE33513","EXACT_SOURCE":"GSE33513_2166_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of TCF7 [GeneID=6932] deficient early thymic progenitors versus the TCF7 [GeneID=6932] sufficient ones.","DESCRIPTION_FULL":"Although transcriptional programs associated with T-cell specification and commitment have been described, the functional hierarchy and the roles of key regulators in structuring/ orchestrating these programs remain unclear. Activation of Notch signaling in uncommitted precursors by the thymic stroma initiates the T-cell differentiation program. One regulator first induced in these precursors is the DNA binding protein Tcf-1, a T-cell specific mediator of Wnt signaling. Yet the specific contribution of Tcf-1 to early T-cell development and the signals inducing it in these cells remain unclear. Here we assign functional significance to Tcf-1 as a gatekeeper of T-cell fate. We show that Tcf-1 is directly activated by Notch signals. Tcf-1 is required at the earliest phase of Tcell determination for progression beyond the early thymic progenitor (ETP) stage. The global expression profile of Tcf-1 deficient progenitors indicates that basic processes of DNA metabolism are downregulated in its absence and the blocked T-cell progenitors become abortive and die by apoptosis. Our data thus add an important functional relationship to the roadmap of T-cell development. We used microarrays to detail the global programme of gene expression of mouse ETP thymocyte after Ikaros inactivation with dominant negative of Ik at different stage."}
{"STANDARD_NAME":"GSE339_CD4POS_VS_CD8POS_DC_UP","SYSTEMATIC_NAME":"M5108","ORGANISM":"Mus musculus","PMID":"12816982","AUTHORS":"Edwards AD,Chaussabel D,Tomlinson S,Schulz O,Sher A,Reis e Sousa C.","GEOID":"GSE339","EXACT_SOURCE":"GSE339_1505_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD4 [GeneID=920] dendritic cells (DC) versus CD8 DCs.","DESCRIPTION_FULL":"The functional relationships and properties of different sub-types of dendritic cells (DC) remain largely undefined. We used a global gene profiling approach to determine gene expression patterns among murine splenic CD11c high DC subsets in an effort to better characterise these cells."}
{"STANDARD_NAME":"GSE339_CD4POS_VS_CD8POS_DC_DN","SYSTEMATIC_NAME":"M5112","ORGANISM":"Mus musculus","PMID":"12816982","AUTHORS":"Edwards AD,Chaussabel D,Tomlinson S,Schulz O,Sher A,Reis e Sousa C.","GEOID":"GSE339","EXACT_SOURCE":"GSE339_1505_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD4 [GeneID=920] dendritic cells (DC) versus CD8 DCs.","DESCRIPTION_FULL":"The functional relationships and properties of different sub-types of dendritic cells (DC) remain largely undefined. We used a global gene profiling approach to determine gene expression patterns among murine splenic CD11c high DC subsets in an effort to better characterise these cells."}
{"STANDARD_NAME":"GSE339_CD4POS_VS_CD4CD8DN_DC_UP","SYSTEMATIC_NAME":"M5114","ORGANISM":"Mus musculus","PMID":"12816982","AUTHORS":"Edwards AD,Chaussabel D,Tomlinson S,Schulz O,Sher A,Reis e Sousa C.","GEOID":"GSE339","EXACT_SOURCE":"GSE339_1506_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD4 [GeneID=920] dendritic cells (DC) versus CD4- [GeneID=920] CD8- DCs.","DESCRIPTION_FULL":"The functional relationships and properties of different sub-types of dendritic cells (DC) remain largely undefined. We used a global gene profiling approach to determine gene expression patterns among murine splenic CD11c high DC subsets in an effort to better characterise these cells."}
{"STANDARD_NAME":"GSE339_CD4POS_VS_CD4CD8DN_DC_DN","SYSTEMATIC_NAME":"M5116","ORGANISM":"Mus musculus","PMID":"12816982","AUTHORS":"Edwards AD,Chaussabel D,Tomlinson S,Schulz O,Sher A,Reis e Sousa C.","GEOID":"GSE339","EXACT_SOURCE":"GSE339_1506_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD4 [GeneID=920] dendritic cells (DC) versus CD4- [GeneID=920] CD8- DCs.","DESCRIPTION_FULL":"The functional relationships and properties of different sub-types of dendritic cells (DC) remain largely undefined. We used a global gene profiling approach to determine gene expression patterns among murine splenic CD11c high DC subsets in an effort to better characterise these cells."}
{"STANDARD_NAME":"GSE339_CD8POS_VS_CD4CD8DN_DC_UP","SYSTEMATIC_NAME":"M5117","ORGANISM":"Mus musculus","PMID":"12816982","AUTHORS":"Edwards AD,Chaussabel D,Tomlinson S,Schulz O,Sher A,Reis e Sousa C.","GEOID":"GSE339","EXACT_SOURCE":"GSE339_1507_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD8 dendritic cells (DC) versus CD4- [GeneID=920] CD8- DCs.","DESCRIPTION_FULL":"The functional relationships and properties of different sub-types of dendritic cells (DC) remain largely undefined. We used a global gene profiling approach to determine gene expression patterns among murine splenic CD11c high DC subsets in an effort to better characterise these cells."}
{"STANDARD_NAME":"GSE339_CD8POS_VS_CD4CD8DN_DC_DN","SYSTEMATIC_NAME":"M5118","ORGANISM":"Mus musculus","PMID":"12816982","AUTHORS":"Edwards AD,Chaussabel D,Tomlinson S,Schulz O,Sher A,Reis e Sousa C.","GEOID":"GSE339","EXACT_SOURCE":"GSE339_1507_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD8 dendritic cells (DC) versus CD4- [GeneID=920] CD8- DCs.","DESCRIPTION_FULL":"The functional relationships and properties of different sub-types of dendritic cells (DC) remain largely undefined. We used a global gene profiling approach to determine gene expression patterns among murine splenic CD11c high DC subsets in an effort to better characterise these cells."}
{"STANDARD_NAME":"GSE339_CD4POS_VS_CD8POS_DC_IN_CULTURE_UP","SYSTEMATIC_NAME":"M5119","ORGANISM":"Mus musculus","PMID":"12816982","AUTHORS":"Edwards AD,Chaussabel D,Tomlinson S,Schulz O,Sher A,Reis e Sousa C.","GEOID":"GSE339","EXACT_SOURCE":"GSE339_1508_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD4 [GeneID=920] dendritic cells (DC) versus CD8 DCs.","DESCRIPTION_FULL":"The functional relationships and properties of different sub-types of dendritic cells (DC) remain largely undefined. We used a global gene profiling approach to determine gene expression patterns among murine splenic CD11c high DC subsets in an effort to better characterise these cells."}
{"STANDARD_NAME":"GSE339_CD4POS_VS_CD8POS_DC_IN_CULTURE_DN","SYSTEMATIC_NAME":"M5120","ORGANISM":"Mus musculus","PMID":"12816982","AUTHORS":"Edwards AD,Chaussabel D,Tomlinson S,Schulz O,Sher A,Reis e Sousa C.","GEOID":"GSE339","EXACT_SOURCE":"GSE339_1508_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD4 [GeneID=920] dendritic cells (DC) versus CD8 DCs.","DESCRIPTION_FULL":"The functional relationships and properties of different sub-types of dendritic cells (DC) remain largely undefined. We used a global gene profiling approach to determine gene expression patterns among murine splenic CD11c high DC subsets in an effort to better characterise these cells."}
{"STANDARD_NAME":"GSE339_CD4POS_VS_CD4CD8DN_DC_IN_CULTURE_UP","SYSTEMATIC_NAME":"M5122","ORGANISM":"Mus musculus","PMID":"12816982","AUTHORS":"Edwards AD,Chaussabel D,Tomlinson S,Schulz O,Sher A,Reis e Sousa C.","GEOID":"GSE339","EXACT_SOURCE":"GSE339_1509_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD4 [GeneID=920] dendritic cells (DC) versus CD4- [GeneID=920] CD8- DCs.","DESCRIPTION_FULL":"The functional relationships and properties of different sub-types of dendritic cells (DC) remain largely undefined. We used a global gene profiling approach to determine gene expression patterns among murine splenic CD11c high DC subsets in an effort to better characterise these cells."}
{"STANDARD_NAME":"GSE339_CD4POS_VS_CD4CD8DN_DC_IN_CULTURE_DN","SYSTEMATIC_NAME":"M5124","ORGANISM":"Mus musculus","PMID":"12816982","AUTHORS":"Edwards AD,Chaussabel D,Tomlinson S,Schulz O,Sher A,Reis e Sousa C.","GEOID":"GSE339","EXACT_SOURCE":"GSE339_1509_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD4 [GeneID=920] dendritic cells (DC) versus CD4- [GeneID=920] CD8- DCs.","DESCRIPTION_FULL":"The functional relationships and properties of different sub-types of dendritic cells (DC) remain largely undefined. We used a global gene profiling approach to determine gene expression patterns among murine splenic CD11c high DC subsets in an effort to better characterise these cells."}
{"STANDARD_NAME":"GSE339_CD8POS_VS_CD4CD8DN_DC_IN_CULTURE_UP","SYSTEMATIC_NAME":"M5127","ORGANISM":"Mus musculus","PMID":"12816982","AUTHORS":"Edwards AD,Chaussabel D,Tomlinson S,Schulz O,Sher A,Reis e Sousa C.","GEOID":"GSE339","EXACT_SOURCE":"GSE339_1510_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD8 dendritic cells (DC) versus CD4- [GeneID=920] CD8- DCs.","DESCRIPTION_FULL":"The functional relationships and properties of different sub-types of dendritic cells (DC) remain largely undefined. We used a global gene profiling approach to determine gene expression patterns among murine splenic CD11c high DC subsets in an effort to better characterise these cells."}
{"STANDARD_NAME":"GSE339_CD8POS_VS_CD4CD8DN_DC_IN_CULTURE_DN","SYSTEMATIC_NAME":"M5128","ORGANISM":"Mus musculus","PMID":"12816982","AUTHORS":"Edwards AD,Chaussabel D,Tomlinson S,Schulz O,Sher A,Reis e Sousa C.","GEOID":"GSE339","EXACT_SOURCE":"GSE339_1510_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD8 dendritic cells (DC) versus CD4- [GeneID=920] CD8- DCs.","DESCRIPTION_FULL":"The functional relationships and properties of different sub-types of dendritic cells (DC) remain largely undefined. We used a global gene profiling approach to determine gene expression patterns among murine splenic CD11c high DC subsets in an effort to better characterise these cells."}
{"STANDARD_NAME":"GSE339_EX_VIVO_VS_IN_CULTURE_CD4POS_DC_UP","SYSTEMATIC_NAME":"M5129","ORGANISM":"Mus musculus","PMID":"12816982","AUTHORS":"Edwards AD,Chaussabel D,Tomlinson S,Schulz O,Sher A,Reis e Sousa C.","GEOID":"GSE339","EXACT_SOURCE":"GSE339_1511_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of ex vivo CD4 [GeneID=920] dendritic cells (DC) versus cultured CD4 [GeneID=920] DCs.","DESCRIPTION_FULL":"The functional relationships and properties of different sub-types of dendritic cells (DC) remain largely undefined. We used a global gene profiling approach to determine gene expression patterns among murine splenic CD11c high DC subsets in an effort to better characterise these cells."}
{"STANDARD_NAME":"GSE339_EX_VIVO_VS_IN_CULTURE_CD4POS_DC_DN","SYSTEMATIC_NAME":"M5130","ORGANISM":"Mus musculus","PMID":"12816982","AUTHORS":"Edwards AD,Chaussabel D,Tomlinson S,Schulz O,Sher A,Reis e Sousa C.","GEOID":"GSE339","EXACT_SOURCE":"GSE339_1511_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of ex vivo CD4 [GeneID=920] dendritic cells (DC) versus cultured CD4 [GeneID=920] DCs.","DESCRIPTION_FULL":"The functional relationships and properties of different sub-types of dendritic cells (DC) remain largely undefined. We used a global gene profiling approach to determine gene expression patterns among murine splenic CD11c high DC subsets in an effort to better characterise these cells."}
{"STANDARD_NAME":"GSE339_EX_VIVO_VS_IN_CULTURE_CD8POS_DC_UP","SYSTEMATIC_NAME":"M5131","ORGANISM":"Mus musculus","PMID":"12816982","AUTHORS":"Edwards AD,Chaussabel D,Tomlinson S,Schulz O,Sher A,Reis e Sousa C.","GEOID":"GSE339","EXACT_SOURCE":"GSE339_1512_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of ex vivo CD8 dendritic cells versus cultured CD8 DCs.","DESCRIPTION_FULL":"The functional relationships and properties of different sub-types of dendritic cells (DC) remain largely undefined. We used a global gene profiling approach to determine gene expression patterns among murine splenic CD11c high DC subsets in an effort to better characterise these cells."}
{"STANDARD_NAME":"GSE339_EX_VIVO_VS_IN_CULTURE_CD8POS_DC_DN","SYSTEMATIC_NAME":"M5132","ORGANISM":"Mus musculus","PMID":"12816982","AUTHORS":"Edwards AD,Chaussabel D,Tomlinson S,Schulz O,Sher A,Reis e Sousa C.","GEOID":"GSE339","EXACT_SOURCE":"GSE339_1512_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of ex vivo CD8 dendritic cells versus cultured CD8 DCs.","DESCRIPTION_FULL":"The functional relationships and properties of different sub-types of dendritic cells (DC) remain largely undefined. We used a global gene profiling approach to determine gene expression patterns among murine splenic CD11c high DC subsets in an effort to better characterise these cells."}
{"STANDARD_NAME":"GSE339_EX_VIVO_VS_IN_CULTURE_CD4CD8DN_DC_UP","SYSTEMATIC_NAME":"M5134","ORGANISM":"Mus musculus","PMID":"12816982","AUTHORS":"Edwards AD,Chaussabel D,Tomlinson S,Schulz O,Sher A,Reis e Sousa C.","GEOID":"GSE339","EXACT_SOURCE":"GSE339_1513_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of ex vivo CD4- [GeneID=920] CD8- dendritic cells (DC) versus cultured CD4- [GeneID=920] CD8- DCs.","DESCRIPTION_FULL":"The functional relationships and properties of different sub-types of dendritic cells (DC) remain largely undefined. We used a global gene profiling approach to determine gene expression patterns among murine splenic CD11c high DC subsets in an effort to better characterise these cells."}
{"STANDARD_NAME":"GSE339_EX_VIVO_VS_IN_CULTURE_CD4CD8DN_DC_DN","SYSTEMATIC_NAME":"M5135","ORGANISM":"Mus musculus","PMID":"12816982","AUTHORS":"Edwards AD,Chaussabel D,Tomlinson S,Schulz O,Sher A,Reis e Sousa C.","GEOID":"GSE339","EXACT_SOURCE":"GSE339_1513_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of ex vivo CD4- [GeneID=920] CD8- dendritic cells (DC) versus cultured CD4- [GeneID=920] CD8- DCs.","DESCRIPTION_FULL":"The functional relationships and properties of different sub-types of dendritic cells (DC) remain largely undefined. We used a global gene profiling approach to determine gene expression patterns among murine splenic CD11c high DC subsets in an effort to better characterise these cells."}
{"STANDARD_NAME":"GSE34205_HEALTHY_VS_RSV_INF_INFANT_PBMC_UP","SYSTEMATIC_NAME":"M5136","ORGANISM":"Homo sapiens","PMID":"22398282","AUTHORS":"Ioannidis I,McNally B,Willette M,Peeples ME,Chaussabel D,Durbin JE,Ramilo O,Mejias A,Flaño E","GEOID":"GSE34205","EXACT_SOURCE":"GSE34205_2334_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of peripheral blood mononuclear cells (PBMC) from healthy donors versus PBMCs from infanct with acute RSV infection.","DESCRIPTION_FULL":"To study the transcriptional profile of patients with acute RSV or Influenza infection,children of median age 2.4 months (range 1.5-8.6) hospitalized with acute RSV and influenza virus infection were offered study enrollment after microbiologic confirmation of the diagnosis. Blood samples were collected from them within 42-72 hours of hospitalization. We excluded children with suspected or proven polymicrobial infections, with underlying chronic medical conditions (i.e congenital heart disease, renal insufficiency), with immunodeficiency, or those who received systemic steroids or other immunomodulatory therapies. The RSV cohort consisted of 51 patients with median age of 2 months (range 1.5-3.9) and the influenza cohort had 28 patients with median age of 5.5 months (range 1.4-21). Control samples were obtained from healthy children undergoing elective surgical procedures or at outpatient clinic visits. To exclude viral co-infections we performed nasopharyngeal viral cultures of all subjects. We recruited 10 control patients for the RSV cohort with median age of 6.7 months (range 5-10), and 12 control patients for the influenza cohort with median age of18.5 months (range 10.5-26)."}
{"STANDARD_NAME":"GSE34205_HEALTHY_VS_RSV_INF_INFANT_PBMC_DN","SYSTEMATIC_NAME":"M5137","ORGANISM":"Homo sapiens","PMID":"22398282","AUTHORS":"Ioannidis I,McNally B,Willette M,Peeples ME,Chaussabel D,Durbin JE,Ramilo O,Mejias A,Flaño E","GEOID":"GSE34205","EXACT_SOURCE":"GSE34205_2334_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of peripheral blood mononuclear cells (PBMC) from healthy donors versus PBMCs from infanct with acute RSV infection.","DESCRIPTION_FULL":"To study the transcriptional profile of patients with acute RSV or Influenza infection,children of median age 2.4 months (range 1.5-8.6) hospitalized with acute RSV and influenza virus infection were offered study enrollment after microbiologic confirmation of the diagnosis. Blood samples were collected from them within 42-72 hours of hospitalization. We excluded children with suspected or proven polymicrobial infections, with underlying chronic medical conditions (i.e congenital heart disease, renal insufficiency), with immunodeficiency, or those who received systemic steroids or other immunomodulatory therapies. The RSV cohort consisted of 51 patients with median age of 2 months (range 1.5-3.9) and the influenza cohort had 28 patients with median age of 5.5 months (range 1.4-21). Control samples were obtained from healthy children undergoing elective surgical procedures or at outpatient clinic visits. To exclude viral co-infections we performed nasopharyngeal viral cultures of all subjects. We recruited 10 control patients for the RSV cohort with median age of 6.7 months (range 5-10), and 12 control patients for the influenza cohort with median age of18.5 months (range 10.5-26)."}
{"STANDARD_NAME":"GSE34205_HEALTHY_VS_FLU_INF_INFANT_PBMC_UP","SYSTEMATIC_NAME":"M5138","ORGANISM":"Homo sapiens","PMID":"22398282","AUTHORS":"Ioannidis I,McNally B,Willette M,Peeples ME,Chaussabel D,Durbin JE,Ramilo O,Mejias A,Flaño E","GEOID":"GSE34205","EXACT_SOURCE":"GSE34205_2335_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of peripheral blood mononuclear cells (PBMC) from healthy donors versus PBMCs from infanct with acute influenza infection.","DESCRIPTION_FULL":"To study the transcriptional profile of patients with acute RSV or Influenza infection,children of median age 2.4 months (range 1.5-8.6) hospitalized with acute RSV and influenza virus infection were offered study enrollment after microbiologic confirmation of the diagnosis. Blood samples were collected from them within 42-72 hours of hospitalization. We excluded children with suspected or proven polymicrobial infections, with underlying chronic medical conditions (i.e congenital heart disease, renal insufficiency), with immunodeficiency, or those who received systemic steroids or other immunomodulatory therapies. The RSV cohort consisted of 51 patients with median age of 2 months (range 1.5-3.9) and the influenza cohort had 28 patients with median age of 5.5 months (range 1.4-21). Control samples were obtained from healthy children undergoing elective surgical procedures or at outpatient clinic visits. To exclude viral co-infections we performed nasopharyngeal viral cultures of all subjects. We recruited 10 control patients for the RSV cohort with median age of 6.7 months (range 5-10), and 12 control patients for the influenza cohort with median age of18.5 months (range 10.5-26)."}
{"STANDARD_NAME":"GSE34205_HEALTHY_VS_FLU_INF_INFANT_PBMC_DN","SYSTEMATIC_NAME":"M5139","ORGANISM":"Homo sapiens","PMID":"22398282","AUTHORS":"Ioannidis I,McNally B,Willette M,Peeples ME,Chaussabel D,Durbin JE,Ramilo O,Mejias A,Flaño E","GEOID":"GSE34205","EXACT_SOURCE":"GSE34205_2335_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of peripheral blood mononuclear cells (PBMC) from healthy donors versus PBMCs from infanct with acute influenza infection.","DESCRIPTION_FULL":"To study the transcriptional profile of patients with acute RSV or Influenza infection,children of median age 2.4 months (range 1.5-8.6) hospitalized with acute RSV and influenza virus infection were offered study enrollment after microbiologic confirmation of the diagnosis. Blood samples were collected from them within 42-72 hours of hospitalization. We excluded children with suspected or proven polymicrobial infections, with underlying chronic medical conditions (i.e congenital heart disease, renal insufficiency), with immunodeficiency, or those who received systemic steroids or other immunomodulatory therapies. The RSV cohort consisted of 51 patients with median age of 2 months (range 1.5-3.9) and the influenza cohort had 28 patients with median age of 5.5 months (range 1.4-21). Control samples were obtained from healthy children undergoing elective surgical procedures or at outpatient clinic visits. To exclude viral co-infections we performed nasopharyngeal viral cultures of all subjects. We recruited 10 control patients for the RSV cohort with median age of 6.7 months (range 5-10), and 12 control patients for the influenza cohort with median age of18.5 months (range 10.5-26)."}
{"STANDARD_NAME":"GSE34205_RSV_VS_FLU_INF_INFANT_PBMC_UP","SYSTEMATIC_NAME":"M5141","ORGANISM":"Homo sapiens","PMID":"22398282","AUTHORS":"Ioannidis I,McNally B,Willette M,Peeples ME,Chaussabel D,Durbin JE,Ramilo O,Mejias A,Flaño E","GEOID":"GSE34205","EXACT_SOURCE":"GSE34205_2336_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of peripheral blood mononuclear cells (PBMC) from infancts with acute RSV infection versus PBMCs from infants with acute influenza infection.","DESCRIPTION_FULL":"To study the transcriptional profile of patients with acute RSV or Influenza infection,children of median age 2.4 months (range 1.5-8.6) hospitalized with acute RSV and influenza virus infection were offered study enrollment after microbiologic confirmation of the diagnosis. Blood samples were collected from them within 42-72 hours of hospitalization. We excluded children with suspected or proven polymicrobial infections, with underlying chronic medical conditions (i.e congenital heart disease, renal insufficiency), with immunodeficiency, or those who received systemic steroids or other immunomodulatory therapies. The RSV cohort consisted of 51 patients with median age of 2 months (range 1.5-3.9) and the influenza cohort had 28 patients with median age of 5.5 months (range 1.4-21). Control samples were obtained from healthy children undergoing elective surgical procedures or at outpatient clinic visits. To exclude viral co-infections we performed nasopharyngeal viral cultures of all subjects. We recruited 10 control patients for the RSV cohort with median age of 6.7 months (range 5-10), and 12 control patients for the influenza cohort with median age of18.5 months (range 10.5-26)."}
{"STANDARD_NAME":"GSE34205_RSV_VS_FLU_INF_INFANT_PBMC_DN","SYSTEMATIC_NAME":"M5142","ORGANISM":"Homo sapiens","PMID":"22398282","AUTHORS":"Ioannidis I,McNally B,Willette M,Peeples ME,Chaussabel D,Durbin JE,Ramilo O,Mejias A,Flaño E","GEOID":"GSE34205","EXACT_SOURCE":"GSE34205_2336_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of peripheral blood mononuclear cells (PBMC) from infancts with acute RSV infection versus PBMCs from infants with acute influenza infection.","DESCRIPTION_FULL":"To study the transcriptional profile of patients with acute RSV or Influenza infection,children of median age 2.4 months (range 1.5-8.6) hospitalized with acute RSV and influenza virus infection were offered study enrollment after microbiologic confirmation of the diagnosis. Blood samples were collected from them within 42-72 hours of hospitalization. We excluded children with suspected or proven polymicrobial infections, with underlying chronic medical conditions (i.e congenital heart disease, renal insufficiency), with immunodeficiency, or those who received systemic steroids or other immunomodulatory therapies. The RSV cohort consisted of 51 patients with median age of 2 months (range 1.5-3.9) and the influenza cohort had 28 patients with median age of 5.5 months (range 1.4-21). Control samples were obtained from healthy children undergoing elective surgical procedures or at outpatient clinic visits. To exclude viral co-infections we performed nasopharyngeal viral cultures of all subjects. We recruited 10 control patients for the RSV cohort with median age of 6.7 months (range 5-10), and 12 control patients for the influenza cohort with median age of18.5 months (range 10.5-26)."}
{"STANDARD_NAME":"GSE360_CTRL_VS_L_DONOVANI_DC_UP","SYSTEMATIC_NAME":"M5143","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1001_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in untreated dendritic cells (DC) versus DCs exposed to parasite L. donovani.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_CTRL_VS_L_DONOVANI_DC_DN","SYSTEMATIC_NAME":"M5144","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1001_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in untreated dendritic cells (DC) versus DCs exposed to parasite L. donovani.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_CTRL_VS_L_MAJOR_DC_UP","SYSTEMATIC_NAME":"M5145","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1002_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in untreated dendritic cells (DC) versus DCs exposed to parasite L. major.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_CTRL_VS_L_MAJOR_DC_DN","SYSTEMATIC_NAME":"M5146","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1002_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in untreated dendritic cells (DC) versus DCs exposed to parasite L. major.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_CTRL_VS_T_GONDII_DC_UP","SYSTEMATIC_NAME":"M5147","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1003_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in untreated dendritic cells (DC) versus DCs exposed to parasite Toxoplasma gondii.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_CTRL_VS_T_GONDII_DC_DN","SYSTEMATIC_NAME":"M5148","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1003_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in untreated dendritic cells (DC) versus DCs exposed to parasite Toxoplasma gondii.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_CTRL_VS_B_MALAYI_HIGH_DOSE_DC_UP","SYSTEMATIC_NAME":"M5150","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1004_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) versus DCs exposed to B. malayi (50 worms/well).","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_CTRL_VS_B_MALAYI_HIGH_DOSE_DC_DN","SYSTEMATIC_NAME":"M5151","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1004_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) versus DCs exposed to B. malayi (50 worms/well).","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_CTRL_VS_B_MALAYI_LOW_DOSE_DC_UP","SYSTEMATIC_NAME":"M5152","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1005_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) versus DCs exposed to B. malayi (5 worms/well).","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_CTRL_VS_B_MALAYI_LOW_DOSE_DC_DN","SYSTEMATIC_NAME":"M5153","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1005_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) versus DCs exposed to B. malayi (5 worms/well).","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_CTRL_VS_M_TUBERCULOSIS_DC_UP","SYSTEMATIC_NAME":"M5154","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1006_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) versus DCs exposed to M.tuberculosis.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_CTRL_VS_M_TUBERCULOSIS_DC_DN","SYSTEMATIC_NAME":"M5156","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1006_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) versus DCs exposed to M.tuberculosis.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_CTRL_VS_L_DONOVANI_MAC_UP","SYSTEMATIC_NAME":"M5157","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1007_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of macrophages versus macrophages exposed to L.donovani.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_CTRL_VS_L_DONOVANI_MAC_DN","SYSTEMATIC_NAME":"M5159","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1007_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of macrophages versus macrophages exposed to L.donovani.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_CTRL_VS_L_MAJOR_MAC_UP","SYSTEMATIC_NAME":"M5160","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1008_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of macrophages versus macrophages exposed to L. major.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_CTRL_VS_L_MAJOR_MAC_DN","SYSTEMATIC_NAME":"M5161","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1008_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of macrophages versus macrophages exposed to L. major.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_CTRL_VS_T_GONDII_MAC_UP","SYSTEMATIC_NAME":"M5162","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1009_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of macrophages versus macrophages exposed to T. gondii.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_CTRL_VS_T_GONDII_MAC_DN","SYSTEMATIC_NAME":"M5163","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1009_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of macrophages versus macrophages exposed to T. gondii.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_CTRL_VS_B_MALAYI_HIGH_DOSE_MAC_UP","SYSTEMATIC_NAME":"M5165","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1010_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of macrophages versus macrophages exposed to B. malayi (50 worms/well).","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_CTRL_VS_B_MALAYI_HIGH_DOSE_MAC_DN","SYSTEMATIC_NAME":"M5167","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1010_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of macrophages versus macrophages exposed to B. malayi (50 worms/well).","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_CTRL_VS_B_MALAYI_LOW_DOSE_MAC_UP","SYSTEMATIC_NAME":"M5168","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1011_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of macrophages versus macrophages exposed to B. malayi (5 worms/well).","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_CTRL_VS_B_MALAYI_LOW_DOSE_MAC_DN","SYSTEMATIC_NAME":"M5169","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1011_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of macrophages versus macrophages exposed to B. malayi (5 worms/well).","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_CTRL_VS_M_TUBERCULOSIS_MAC_UP","SYSTEMATIC_NAME":"M5170","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1012_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of macrophages versus macrophages exposed to M. tuberculosis.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_CTRL_VS_M_TUBERCULOSIS_MAC_DN","SYSTEMATIC_NAME":"M5171","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1012_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of macrophages versus macrophages exposed to M. tuberculosis.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_DC_VS_MAC_UP","SYSTEMATIC_NAME":"M5172","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1013_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) versus untreated macrophages.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_DC_VS_MAC_DN","SYSTEMATIC_NAME":"M5173","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1013_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) versus untreated macrophages.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_DC_VS_MAC_L_DONOVANI_UP","SYSTEMATIC_NAME":"M5174","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1014_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) exposed to L. donovani versus macrophages exposed to L. donovani.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_DC_VS_MAC_L_DONOVANI_DN","SYSTEMATIC_NAME":"M5176","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1014_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) exposed to L. donovani versus macrophages exposed to L. donovani.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_DC_VS_MAC_L_MAJOR_UP","SYSTEMATIC_NAME":"M5181","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1015_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells exposed to L. major versus macrophages exposed to L. major.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_DC_VS_MAC_L_MAJOR_DN","SYSTEMATIC_NAME":"M5182","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1015_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells exposed to L. major versus macrophages exposed to L. major.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_DC_VS_MAC_T_GONDII_UP","SYSTEMATIC_NAME":"M5183","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1016_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) exposed to T. gondii versus macrophages exposed to T. gondii.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_DC_VS_MAC_T_GONDII_DN","SYSTEMATIC_NAME":"M5184","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1016_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) exposed to T. gondii versus macrophages exposed to T. gondii.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_DC_VS_MAC_B_MALAYI_HIGH_DOSE_UP","SYSTEMATIC_NAME":"M5185","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1017_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) exposed to 50 worm/well B. malayi versus macrophages exposed to 50 worms/well B. malayi.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_DC_VS_MAC_B_MALAYI_HIGH_DOSE_DN","SYSTEMATIC_NAME":"M5186","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1017_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) exposed to 50 worm/well B. malayi versus macrophages exposed to 50 worms/well B. malayi.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_DC_VS_MAC_B_MALAYI_LOW_DOSE_UP","SYSTEMATIC_NAME":"M5187","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1018_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) exposed to 5 worm/well B. malayi versus macrophages exposed to 5 worms/well B. malayi.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_DC_VS_MAC_B_MALAYI_LOW_DOSE_DN","SYSTEMATIC_NAME":"M5188","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1018_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) exposed to 5 worm/well B. malayi versus macrophages exposed to 5 worms/well B. malayi.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_DC_VS_MAC_M_TUBERCULOSIS_UP","SYSTEMATIC_NAME":"M5189","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1019_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) exposed to M. tuberculosis versus macrophages exposed to L. major.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_DC_VS_MAC_M_TUBERCULOSIS_DN","SYSTEMATIC_NAME":"M5191","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1019_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) exposed to M. tuberculosis versus macrophages exposed to L. major.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_L_DONOVANI_VS_L_MAJOR_DC_UP","SYSTEMATIC_NAME":"M5192","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1020_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) exposed to L. donovani versus DCs exposed to L. major.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_L_DONOVANI_VS_L_MAJOR_DC_DN","SYSTEMATIC_NAME":"M5194","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1020_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) exposed to L. donovani versus DCs exposed to L. major.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_L_DONOVANI_VS_T_GONDII_DC_UP","SYSTEMATIC_NAME":"M5195","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1021_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) exposed to L. donovani versus DCs exposed to T. gondii.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_L_DONOVANI_VS_T_GONDII_DC_DN","SYSTEMATIC_NAME":"M5196","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1021_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) exposed to L. donovani versus DCs exposed to T. gondii.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_L_DONOVANI_VS_B_MALAYI_HIGH_DOSE_DC_UP","SYSTEMATIC_NAME":"M5197","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1022_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) exposed to L. donovani versus DCs exposed to 50 worm/well B. malayi.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_L_DONOVANI_VS_B_MALAYI_HIGH_DOSE_DC_DN","SYSTEMATIC_NAME":"M5201","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1022_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) exposed to L. donovani versus DCs exposed to 50 worm/well B. malayi.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_L_DONOVANI_VS_B_MALAYI_LOW_DOSE_DC_UP","SYSTEMATIC_NAME":"M5203","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1023_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) exposed to L. donovani versus DCs exposed to 5 worm/well B. malayi.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_L_DONOVANI_VS_B_MALAYI_LOW_DOSE_DC_DN","SYSTEMATIC_NAME":"M5204","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1023_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) exposed to L. donovani versus DCs exposed to 5 worm/well B. malayi.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_L_DONOVANI_VS_M_TUBERCULOSIS_DC_UP","SYSTEMATIC_NAME":"M5205","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1024_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) exposed to L. donovani versus DCs exposed to M. tuberculosis.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_L_DONOVANI_VS_M_TUBERCULOSIS_DC_DN","SYSTEMATIC_NAME":"M5206","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1024_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) exposed to L. donovani versus DCs exposed to M. tuberculosis.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_L_MAJOR_VS_T_GONDII_DC_UP","SYSTEMATIC_NAME":"M5207","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1025_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) exposed to L. major versus DCs exposed to T. gondii.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_L_MAJOR_VS_T_GONDII_DC_DN","SYSTEMATIC_NAME":"M5208","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1025_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) exposed to L. major versus DCs exposed to T. gondii.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_L_MAJOR_VS_B_MALAYI_HIGH_DOSE_DC_UP","SYSTEMATIC_NAME":"M5209","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1026_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) exposed to L. major versus DCs exposed to 50 worms/well B. malayi.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_L_MAJOR_VS_B_MALAYI_HIGH_DOSE_DC_DN","SYSTEMATIC_NAME":"M5210","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1026_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) exposed to L. major versus DCs exposed to 50 worms/well B. malayi.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_L_MAJOR_VS_B_MALAYI_LOW_DOSE_DC_UP","SYSTEMATIC_NAME":"M5211","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1027_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) exposed to L. major versus DCs exposed to 5 worms/well B. malayi.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_L_MAJOR_VS_B_MALAYI_LOW_DOSE_DC_DN","SYSTEMATIC_NAME":"M5212","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1027_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) exposed to L. major versus DCs exposed to 5 worms/well B. malayi.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_L_MAJOR_VS_M_TUBERCULOSIS_DC_UP","SYSTEMATIC_NAME":"M5213","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1028_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) exposed to L. major versus DCs exposed to M. tuberculosis.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_L_MAJOR_VS_M_TUBERCULOSIS_DC_DN","SYSTEMATIC_NAME":"M5214","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1028_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) exposed to L. major versus DCs exposed to M. tuberculosis.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_T_GONDII_VS_B_MALAYI_HIGH_DOSE_DC_UP","SYSTEMATIC_NAME":"M5215","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1029_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) exposed to T. gondii versus DCs exposed to 50 worms/well B. malayi.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_T_GONDII_VS_B_MALAYI_HIGH_DOSE_DC_DN","SYSTEMATIC_NAME":"M5216","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1029_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) exposed to T. gondii versus DCs exposed to 50 worms/well B. malayi.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_T_GONDII_VS_B_MALAYI_LOW_DOSE_DC_UP","SYSTEMATIC_NAME":"M5217","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1030_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) exposed to T. gondii versus DCs exposed to 5 worms/well B. malayi.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_T_GONDII_VS_B_MALAYI_LOW_DOSE_DC_DN","SYSTEMATIC_NAME":"M5219","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1030_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) exposed to T. gondii versus DCs exposed to 5 worms/well B. malayi.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_T_GONDII_VS_M_TUBERCULOSIS_DC_UP","SYSTEMATIC_NAME":"M5220","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1031_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) exposed to T. gondii versus DCs exposed to M. tuberculosis.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_T_GONDII_VS_M_TUBERCULOSIS_DC_DN","SYSTEMATIC_NAME":"M5221","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1031_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) exposed to T. gondii versus DCs exposed to M. tuberculosis.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_HIGH_VS_LOW_DOSE_B_MALAYI_DC_UP","SYSTEMATIC_NAME":"M5222","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1032_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) exposed to 50 worms/well B. malayi versus those exposed to 5 worms/well B. malayi.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_HIGH_VS_LOW_DOSE_B_MALAYI_DC_DN","SYSTEMATIC_NAME":"M5225","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1032_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) exposed to 50 worms/well B. malayi versus those exposed to 5 worms/well B. malayi.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_HIGH_DOSE_B_MALAYI_VS_M_TUBERCULOSIS_DC_UP","SYSTEMATIC_NAME":"M5227","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1033_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) exposed to 50 worms/well B. malayi versus DC exposed to M. tuberculosis","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_HIGH_DOSE_B_MALAYI_VS_M_TUBERCULOSIS_DC_DN","SYSTEMATIC_NAME":"M5228","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1033_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) exposed to 50 worms/well B. malayi versus DC exposed to M. tuberculosis","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_LOW_DOSE_B_MALAYI_VS_M_TUBERCULOSIS_DC_UP","SYSTEMATIC_NAME":"M5229","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1034_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) exposed to 5 worms/well B. malayi versus DC exposed to M. tuberculosis","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_LOW_DOSE_B_MALAYI_VS_M_TUBERCULOSIS_DC_DN","SYSTEMATIC_NAME":"M5230","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1034_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) exposed to 5 worms/well B. malayi versus DC exposed to M. tuberculosis","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_L_DONOVANI_VS_L_MAJOR_MAC_UP","SYSTEMATIC_NAME":"M5231","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1035_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of macrophages exposed to L. donovani versus macrophages exposed to L. major.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_L_DONOVANI_VS_L_MAJOR_MAC_DN","SYSTEMATIC_NAME":"M5232","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1035_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of macrophages exposed to L. donovani versus macrophages exposed to L. major.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_L_DONOVANI_VS_T_GONDII_MAC_UP","SYSTEMATIC_NAME":"M5233","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1036_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of macrophages exposed to L. donovani versus macrophages exposed to T. gondii.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_L_DONOVANI_VS_T_GONDII_MAC_DN","SYSTEMATIC_NAME":"M5234","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1036_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of macrophages exposed to L. donovani versus macrophages exposed to T. gondii.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_L_DONOVANI_VS_B_MALAYI_HIGH_DOSE_MAC_UP","SYSTEMATIC_NAME":"M5235","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1037_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of macrophages exposed to L. donovani versus macrophages exposed to 50 worms/well B. malayi.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_L_DONOVANI_VS_B_MALAYI_HIGH_DOSE_MAC_DN","SYSTEMATIC_NAME":"M5237","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1037_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of macrophages exposed to L. donovani versus macrophages exposed to 50 worms/well B. malayi.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_L_DONOVANI_VS_B_MALAYI_LOW_DOSE_MAC_UP","SYSTEMATIC_NAME":"M5239","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1038_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of macrophages exposed to L. donovani versus macrophages exposed to 5 worms/well B. malayi.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_L_DONOVANI_VS_B_MALAYI_LOW_DOSE_MAC_DN","SYSTEMATIC_NAME":"M5240","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1038_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of macrophages exposed to L. donovani versus macrophages exposed to 5 worms/well B. malayi.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_L_DONOVANI_VS_M_TUBERCULOSIS_MAC_UP","SYSTEMATIC_NAME":"M5241","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1039_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of macrophages exposed to L. donovani versus macrophages exposed to M. tuberculosis.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_L_DONOVANI_VS_M_TUBERCULOSIS_MAC_DN","SYSTEMATIC_NAME":"M5242","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1039_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of macrophages exposed to L. donovani versus macrophages exposed to M. tuberculosis.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_L_MAJOR_VS_T_GONDII_MAC_UP","SYSTEMATIC_NAME":"M5243","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1040_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of macrophages exposed to L. major versus macrophages exposed to T. gondii.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_L_MAJOR_VS_T_GONDII_MAC_DN","SYSTEMATIC_NAME":"M5246","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1040_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of macrophages exposed to L. major versus macrophages exposed to T. gondii.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_L_MAJOR_VS_B_MALAYI_HIGH_DOSE_MAC_UP","SYSTEMATIC_NAME":"M5247","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1041_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of macrophages exposed to L. major versus macrophages exposed to 50 worms/well B. malayi.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_L_MAJOR_VS_B_MALAYI_HIGH_DOSE_MAC_DN","SYSTEMATIC_NAME":"M5249","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1041_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of macrophages exposed to L. major versus macrophages exposed to 50 worms/well B. malayi.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_L_MAJOR_VS_B_MALAYI_LOW_DOSE_MAC_UP","SYSTEMATIC_NAME":"M5250","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1042_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of macrophages exposed to L. major versus macrophages exposed to 5 worms/well B. malayi.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_L_MAJOR_VS_B_MALAYI_LOW_DOSE_MAC_DN","SYSTEMATIC_NAME":"M5251","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1042_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of macrophages exposed to L. major versus macrophages exposed to 5 worms/well B. malayi.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_L_MAJOR_VS_M_TUBERCULOSIS_MAC_UP","SYSTEMATIC_NAME":"M5252","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1043_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of macrophages exposed to L. major versus macrophages exposed to M. tuberculosis.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_L_MAJOR_VS_M_TUBERCULOSIS_MAC_DN","SYSTEMATIC_NAME":"M5253","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1043_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of macrophages exposed to L. major versus macrophages exposed to M. tuberculosis.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_T_GONDII_VS_B_MALAYI_HIGH_DOSE_MAC_UP","SYSTEMATIC_NAME":"M5254","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1044_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of macrophages exposed to T. gondii versus macrophages exposed to 50 worms/well B. malayi.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_T_GONDII_VS_B_MALAYI_HIGH_DOSE_MAC_DN","SYSTEMATIC_NAME":"M5255","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1044_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of macrophages exposed to T. gondii versus macrophages exposed to 50 worms/well B. malayi.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_T_GONDII_VS_B_MALAYI_LOW_DOSE_MAC_UP","SYSTEMATIC_NAME":"M5256","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1045_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of macrophages exposed to T. gondii versus macrophages exposed to 5 worms/well B. malayi.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_T_GONDII_VS_B_MALAYI_LOW_DOSE_MAC_DN","SYSTEMATIC_NAME":"M5257","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1045_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of macrophages exposed to T. gondii versus macrophages exposed to 5 worms/well B. malayi.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_T_GONDII_VS_M_TUBERCULOSIS_MAC_UP","SYSTEMATIC_NAME":"M5258","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1046_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of macrophages exposed to T. gondii versus macrophages exposed to M. tuberculosis.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_T_GONDII_VS_M_TUBERCULOSIS_MAC_DN","SYSTEMATIC_NAME":"M5259","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1046_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of macrophages exposed to T. gondii versus macrophages exposed to M. tuberculosis.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_HIGH_VS_LOW_DOSE_B_MALAYI_MAC_UP","SYSTEMATIC_NAME":"M5261","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1047_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of macrophages exposed to 50 worms/well B. malayi versus those exposed to 5 worms/well B. malayi.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_HIGH_VS_LOW_DOSE_B_MALAYI_MAC_DN","SYSTEMATIC_NAME":"M5262","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1047_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of macrophages exposed to 50 worms/well B. malayi versus those exposed to 5 worms/well B. malayi.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_HIGH_DOSE_B_MALAYI_VS_M_TUBERCULOSIS_MAC_UP","SYSTEMATIC_NAME":"M5263","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1048_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of macrophages exposed to 50 worms/well B. malayi versus macrophages exposed to M. tuberculosis.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_HIGH_DOSE_B_MALAYI_VS_M_TUBERCULOSIS_MAC_DN","SYSTEMATIC_NAME":"M5264","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1048_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of macrophages exposed to 50 worms/well B. malayi versus macrophages exposed to M. tuberculosis.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_LOW_DOSE_B_MALAYI_VS_M_TUBERCULOSIS_MAC_UP","SYSTEMATIC_NAME":"M5266","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1049_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of macrophages exposed to 5 worms/well B. malayi versus macrophages exposed to M. tuberculosis.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE360_LOW_DOSE_B_MALAYI_VS_M_TUBERCULOSIS_MAC_DN","SYSTEMATIC_NAME":"M5268","ORGANISM":"Homo sapiens","PMID":"12663451","AUTHORS":"Chaussabel D,Semnani RT,McDowell MA,Sacks D,Sher A,Nutman TB.","GEOID":"GSE360","EXACT_SOURCE":"GSE360_1049_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of macrophages exposed to 5 worms/well B. malayi versus macrophages exposed to M. tuberculosis.","DESCRIPTION_FULL":"Monocyte-derived dendritic cells (DC) and macrophages (MΦ) generated in vitro from the same individual blood donors were exposed to five different pathogens, and gene expression profiles were assessed by microarray analysis. Responses to Mycobacterium tuberculosis and to phylogenetically distinct protozoan (Leishmania major, L. donovani, Toxoplasma gondii) and helminth (Brugia malayi) parasites were examined, each of which produces chronic infections in humans yet vary considerably in the nature of the immune responses they trigger."}
{"STANDARD_NAME":"GSE36392_TYPE_2_MYELOID_VS_EOSINOPHIL_IL25_TREATED_LUNG_UP","SYSTEMATIC_NAME":"M5270","ORGANISM":"Mus musculus","PMID":"22543263","AUTHORS":"Petersen BC,Budelsky AL,Baptist AP,Schaller MA,Lukacs NW.","GEOID":"GSE36392","EXACT_SOURCE":"GSE36392_2066_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of type 2 myeloid (T2M) cells treated with IL25 [GeneID=64806] versus eosinophils treated with IL25 [GeneID=64806].","DESCRIPTION_FULL":"Many symptoms associated with allergic asthma result from the sequelae of type 2 inflammation. Interleukin (IL)-25 promotes type 2 inflammatory responses, and T2M cells represent an IL-4 and IL-13 producing granulocytic IL-25 responsive population. We used microarrays to characterize the gene expression profile of T2M cells, and compared T2M cells to other inflammatory subsets (eosinophils, neutrophils, and macrophages) in the lungs of mice with IL-25-induced pulmonary inflammation."}
{"STANDARD_NAME":"GSE36392_TYPE_2_MYELOID_VS_EOSINOPHIL_IL25_TREATED_LUNG_DN","SYSTEMATIC_NAME":"M5271","ORGANISM":"Mus musculus","PMID":"22543263","AUTHORS":"Petersen BC,Budelsky AL,Baptist AP,Schaller MA,Lukacs NW.","GEOID":"GSE36392","EXACT_SOURCE":"GSE36392_2066_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of type 2 myeloid (T2M) cells treated with IL25 [GeneID=64806] versus eosinophils treated with IL25 [GeneID=64806].","DESCRIPTION_FULL":"Many symptoms associated with allergic asthma result from the sequelae of type 2 inflammation. Interleukin (IL)-25 promotes type 2 inflammatory responses, and T2M cells represent an IL-4 and IL-13 producing granulocytic IL-25 responsive population. We used microarrays to characterize the gene expression profile of T2M cells, and compared T2M cells to other inflammatory subsets (eosinophils, neutrophils, and macrophages) in the lungs of mice with IL-25-induced pulmonary inflammation."}
{"STANDARD_NAME":"GSE36392_TYPE_2_MYELOID_VS_MAC_IL25_TREATED_LUNG_UP","SYSTEMATIC_NAME":"M5273","ORGANISM":"Mus musculus","PMID":"22543263","AUTHORS":"Petersen BC,Budelsky AL,Baptist AP,Schaller MA,Lukacs NW.","GEOID":"GSE36392","EXACT_SOURCE":"GSE36392_2067_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of type 2 myeloid (T2M) cells treated with IL25 [GeneID=64806] versus macrophages treated with IL25 [GeneID=64806].","DESCRIPTION_FULL":"Many symptoms associated with allergic asthma result from the sequelae of type 2 inflammation. Interleukin (IL)-25 promotes type 2 inflammatory responses, and T2M cells represent an IL-4 and IL-13 producing granulocytic IL-25 responsive population. We used microarrays to characterize the gene expression profile of T2M cells, and compared T2M cells to other inflammatory subsets (eosinophils, neutrophils, and macrophages) in the lungs of mice with IL-25-induced pulmonary inflammation."}
{"STANDARD_NAME":"GSE36392_TYPE_2_MYELOID_VS_MAC_IL25_TREATED_LUNG_DN","SYSTEMATIC_NAME":"M5274","ORGANISM":"Mus musculus","PMID":"22543263","AUTHORS":"Petersen BC,Budelsky AL,Baptist AP,Schaller MA,Lukacs NW.","GEOID":"GSE36392","EXACT_SOURCE":"GSE36392_2067_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of type 2 myeloid (T2M) cells treated with IL25 [GeneID=64806] versus macrophages treated with IL25 [GeneID=64806].","DESCRIPTION_FULL":"Many symptoms associated with allergic asthma result from the sequelae of type 2 inflammation. Interleukin (IL)-25 promotes type 2 inflammatory responses, and T2M cells represent an IL-4 and IL-13 producing granulocytic IL-25 responsive population. We used microarrays to characterize the gene expression profile of T2M cells, and compared T2M cells to other inflammatory subsets (eosinophils, neutrophils, and macrophages) in the lungs of mice with IL-25-induced pulmonary inflammation."}
{"STANDARD_NAME":"GSE36392_TYPE_2_MYELOID_VS_NEUTROPHIL_IL25_TREATED_LUNG_UP","SYSTEMATIC_NAME":"M5276","ORGANISM":"Mus musculus","PMID":"22543263","AUTHORS":"Petersen BC,Budelsky AL,Baptist AP,Schaller MA,Lukacs NW.","GEOID":"GSE36392","EXACT_SOURCE":"GSE36392_2068_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of type 2 myeloid (T2M) cells treated with IL25 [GeneID=64806] versus neutrophils treated with IL25 [GeneID=64806].","DESCRIPTION_FULL":"Many symptoms associated with allergic asthma result from the sequelae of type 2 inflammation. Interleukin (IL)-25 promotes type 2 inflammatory responses, and T2M cells represent an IL-4 and IL-13 producing granulocytic IL-25 responsive population. We used microarrays to characterize the gene expression profile of T2M cells, and compared T2M cells to other inflammatory subsets (eosinophils, neutrophils, and macrophages) in the lungs of mice with IL-25-induced pulmonary inflammation."}
{"STANDARD_NAME":"GSE36392_TYPE_2_MYELOID_VS_NEUTROPHIL_IL25_TREATED_LUNG_DN","SYSTEMATIC_NAME":"M5277","ORGANISM":"Mus musculus","PMID":"22543263","AUTHORS":"Petersen BC,Budelsky AL,Baptist AP,Schaller MA,Lukacs NW.","GEOID":"GSE36392","EXACT_SOURCE":"GSE36392_2068_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of type 2 myeloid (T2M) cells treated with IL25 [GeneID=64806] versus neutrophils treated with IL25 [GeneID=64806].","DESCRIPTION_FULL":"Many symptoms associated with allergic asthma result from the sequelae of type 2 inflammation. Interleukin (IL)-25 promotes type 2 inflammatory responses, and T2M cells represent an IL-4 and IL-13 producing granulocytic IL-25 responsive population. We used microarrays to characterize the gene expression profile of T2M cells, and compared T2M cells to other inflammatory subsets (eosinophils, neutrophils, and macrophages) in the lungs of mice with IL-25-induced pulmonary inflammation."}
{"STANDARD_NAME":"GSE36392_EOSINOPHIL_VS_MAC_IL25_TREATED_LUNG_UP","SYSTEMATIC_NAME":"M5280","ORGANISM":"Mus musculus","PMID":"22543263","AUTHORS":"Petersen BC,Budelsky AL,Baptist AP,Schaller MA,Lukacs NW.","GEOID":"GSE36392","EXACT_SOURCE":"GSE36392_2069_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of eosinophils treated with IL25 [GeneID=64806] versus macrophages treated with IL25 [GeneID=64806].","DESCRIPTION_FULL":"Many symptoms associated with allergic asthma result from the sequelae of type 2 inflammation. Interleukin (IL)-25 promotes type 2 inflammatory responses, and T2M cells represent an IL-4 and IL-13 producing granulocytic IL-25 responsive population. We used microarrays to characterize the gene expression profile of T2M cells, and compared T2M cells to other inflammatory subsets (eosinophils, neutrophils, and macrophages) in the lungs of mice with IL-25-induced pulmonary inflammation."}
{"STANDARD_NAME":"GSE36392_EOSINOPHIL_VS_MAC_IL25_TREATED_LUNG_DN","SYSTEMATIC_NAME":"M5281","ORGANISM":"Mus musculus","PMID":"22543263","AUTHORS":"Petersen BC,Budelsky AL,Baptist AP,Schaller MA,Lukacs NW.","GEOID":"GSE36392","EXACT_SOURCE":"GSE36392_2069_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of eosinophils treated with IL25 [GeneID=64806] versus macrophages treated with IL25 [GeneID=64806].","DESCRIPTION_FULL":"Many symptoms associated with allergic asthma result from the sequelae of type 2 inflammation. Interleukin (IL)-25 promotes type 2 inflammatory responses, and T2M cells represent an IL-4 and IL-13 producing granulocytic IL-25 responsive population. We used microarrays to characterize the gene expression profile of T2M cells, and compared T2M cells to other inflammatory subsets (eosinophils, neutrophils, and macrophages) in the lungs of mice with IL-25-induced pulmonary inflammation."}
{"STANDARD_NAME":"GSE36392_EOSINOPHIL_VS_NEUTROPHIL_IL25_TREATED_LUNG_UP","SYSTEMATIC_NAME":"M5282","ORGANISM":"Mus musculus","PMID":"22543263","AUTHORS":"Petersen BC,Budelsky AL,Baptist AP,Schaller MA,Lukacs NW.","GEOID":"GSE36392","EXACT_SOURCE":"GSE36392_2070_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of eosinophils treated with IL25 [GeneID=64806] versus neutrophils treated with IL25 [GeneID=64806].","DESCRIPTION_FULL":"Many symptoms associated with allergic asthma result from the sequelae of type 2 inflammation. Interleukin (IL)-25 promotes type 2 inflammatory responses, and T2M cells represent an IL-4 and IL-13 producing granulocytic IL-25 responsive population. We used microarrays to characterize the gene expression profile of T2M cells, and compared T2M cells to other inflammatory subsets (eosinophils, neutrophils, and macrophages) in the lungs of mice with IL-25-induced pulmonary inflammation."}
{"STANDARD_NAME":"GSE36392_EOSINOPHIL_VS_NEUTROPHIL_IL25_TREATED_LUNG_DN","SYSTEMATIC_NAME":"M5284","ORGANISM":"Mus musculus","PMID":"22543263","AUTHORS":"Petersen BC,Budelsky AL,Baptist AP,Schaller MA,Lukacs NW.","GEOID":"GSE36392","EXACT_SOURCE":"GSE36392_2070_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of eosinophils treated with IL25 [GeneID=64806] versus neutrophils treated with IL25 [GeneID=64806].","DESCRIPTION_FULL":"Many symptoms associated with allergic asthma result from the sequelae of type 2 inflammation. Interleukin (IL)-25 promotes type 2 inflammatory responses, and T2M cells represent an IL-4 and IL-13 producing granulocytic IL-25 responsive population. We used microarrays to characterize the gene expression profile of T2M cells, and compared T2M cells to other inflammatory subsets (eosinophils, neutrophils, and macrophages) in the lungs of mice with IL-25-induced pulmonary inflammation."}
{"STANDARD_NAME":"GSE36392_MAC_VS_NEUTROPHIL_IL25_TREATED_LUNG_UP","SYSTEMATIC_NAME":"M5285","ORGANISM":"Mus musculus","PMID":"22543263","AUTHORS":"Petersen BC,Budelsky AL,Baptist AP,Schaller MA,Lukacs NW.","GEOID":"GSE36392","EXACT_SOURCE":"GSE36392_2071_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of macrophages treated with IL25 [GeneID=64806] versus neutrophils treated with IL25 [GeneID=64806].","DESCRIPTION_FULL":"Many symptoms associated with allergic asthma result from the sequelae of type 2 inflammation. Interleukin (IL)-25 promotes type 2 inflammatory responses, and T2M cells represent an IL-4 and IL-13 producing granulocytic IL-25 responsive population. We used microarrays to characterize the gene expression profile of T2M cells, and compared T2M cells to other inflammatory subsets (eosinophils, neutrophils, and macrophages) in the lungs of mice with IL-25-induced pulmonary inflammation."}
{"STANDARD_NAME":"GSE36392_MAC_VS_NEUTROPHIL_IL25_TREATED_LUNG_DN","SYSTEMATIC_NAME":"M5286","ORGANISM":"Mus musculus","PMID":"22543263","AUTHORS":"Petersen BC,Budelsky AL,Baptist AP,Schaller MA,Lukacs NW.","GEOID":"GSE36392","EXACT_SOURCE":"GSE36392_2071_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of macrophages treated with IL25 [GeneID=64806] versus neutrophils treated with IL25 [GeneID=64806].","DESCRIPTION_FULL":"Many symptoms associated with allergic asthma result from the sequelae of type 2 inflammation. Interleukin (IL)-25 promotes type 2 inflammatory responses, and T2M cells represent an IL-4 and IL-13 producing granulocytic IL-25 responsive population. We used microarrays to characterize the gene expression profile of T2M cells, and compared T2M cells to other inflammatory subsets (eosinophils, neutrophils, and macrophages) in the lungs of mice with IL-25-induced pulmonary inflammation."}
{"STANDARD_NAME":"GSE36476_CTRL_VS_TSST_ACT_16H_MEMORY_CD4_TCELL_YOUNG_UP","SYSTEMATIC_NAME":"M5287","ORGANISM":"Homo sapiens","PMID":"22434910","AUTHORS":"Yu M,Li G,Lee WW,Yuan M,Cui D,Weyand CM,Goronzy JJ.","GEOID":"GSE36476","EXACT_SOURCE":"GSE36476_1728_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated CD4 [GeneID=920] memory T cells from young donors versus those treated with TSST at 16 h.","DESCRIPTION_FULL":"With increasing age, the ability of the immune system to protect against recurring infections or to control chronic infections erodes. The objective of the current study was to identify gene expression signatures in elderly CD4 T cell responses"}
{"STANDARD_NAME":"GSE36476_CTRL_VS_TSST_ACT_16H_MEMORY_CD4_TCELL_YOUNG_DN","SYSTEMATIC_NAME":"M5288","ORGANISM":"Homo sapiens","PMID":"22434910","AUTHORS":"Yu M,Li G,Lee WW,Yuan M,Cui D,Weyand CM,Goronzy JJ.","GEOID":"GSE36476","EXACT_SOURCE":"GSE36476_1728_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated CD4 [GeneID=920] memory T cells from young donors versus those treated with TSST at 16 h.","DESCRIPTION_FULL":"With increasing age, the ability of the immune system to protect against recurring infections or to control chronic infections erodes. The objective of the current study was to identify gene expression signatures in elderly CD4 T cell responses"}
{"STANDARD_NAME":"GSE36476_CTRL_VS_TSST_ACT_40H_MEMORY_CD4_TCELL_YOUNG_UP","SYSTEMATIC_NAME":"M5289","ORGANISM":"Homo sapiens","PMID":"22434910","AUTHORS":"Yu M,Li G,Lee WW,Yuan M,Cui D,Weyand CM,Goronzy JJ.","GEOID":"GSE36476","EXACT_SOURCE":"GSE36476_1729_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated CD4 [GeneID=920] memory T cells from young donors versus those treated with TSST at 40 h.","DESCRIPTION_FULL":"With increasing age, the ability of the immune system to protect against recurring infections or to control chronic infections erodes. The objective of the current study was to identify gene expression signatures in elderly CD4 T cell responses"}
{"STANDARD_NAME":"GSE36476_CTRL_VS_TSST_ACT_40H_MEMORY_CD4_TCELL_YOUNG_DN","SYSTEMATIC_NAME":"M5292","ORGANISM":"Homo sapiens","PMID":"22434910","AUTHORS":"Yu M,Li G,Lee WW,Yuan M,Cui D,Weyand CM,Goronzy JJ.","GEOID":"GSE36476","EXACT_SOURCE":"GSE36476_1729_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated CD4 [GeneID=920] memory T cells from young donors versus those treated with TSST at 40 h.","DESCRIPTION_FULL":"With increasing age, the ability of the immune system to protect against recurring infections or to control chronic infections erodes. The objective of the current study was to identify gene expression signatures in elderly CD4 T cell responses"}
{"STANDARD_NAME":"GSE36476_CTRL_VS_TSST_ACT_72H_MEMORY_CD4_TCELL_YOUNG_UP","SYSTEMATIC_NAME":"M5293","ORGANISM":"Homo sapiens","PMID":"22434910","AUTHORS":"Yu M,Li G,Lee WW,Yuan M,Cui D,Weyand CM,Goronzy JJ.","GEOID":"GSE36476","EXACT_SOURCE":"GSE36476_1730_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated CD4 [GeneID=920] memory T cells from young donors versus those treated with TSST at 72 h.","DESCRIPTION_FULL":"With increasing age, the ability of the immune system to protect against recurring infections or to control chronic infections erodes. The objective of the current study was to identify gene expression signatures in elderly CD4 T cell responses"}
{"STANDARD_NAME":"GSE36476_CTRL_VS_TSST_ACT_72H_MEMORY_CD4_TCELL_YOUNG_DN","SYSTEMATIC_NAME":"M5294","ORGANISM":"Homo sapiens","PMID":"22434910","AUTHORS":"Yu M,Li G,Lee WW,Yuan M,Cui D,Weyand CM,Goronzy JJ.","GEOID":"GSE36476","EXACT_SOURCE":"GSE36476_1730_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated CD4 [GeneID=920] memory T cells from young donors versus those treated with TSST at 72 h.","DESCRIPTION_FULL":"With increasing age, the ability of the immune system to protect against recurring infections or to control chronic infections erodes. The objective of the current study was to identify gene expression signatures in elderly CD4 T cell responses"}
{"STANDARD_NAME":"GSE36476_CTRL_VS_TSST_ACT_16H_MEMORY_CD4_TCELL_OLD_UP","SYSTEMATIC_NAME":"M5295","ORGANISM":"Homo sapiens","PMID":"22434910","AUTHORS":"Yu M,Li G,Lee WW,Yuan M,Cui D,Weyand CM,Goronzy JJ.","GEOID":"GSE36476","EXACT_SOURCE":"GSE36476_1731_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated CD4 [GeneID=920] memory T cells from old donors versus those treated with TSST at 16 h.","DESCRIPTION_FULL":"With increasing age, the ability of the immune system to protect against recurring infections or to control chronic infections erodes. The objective of the current study was to identify gene expression signatures in elderly CD4 T cell responses"}
{"STANDARD_NAME":"GSE36476_CTRL_VS_TSST_ACT_16H_MEMORY_CD4_TCELL_OLD_DN","SYSTEMATIC_NAME":"M5296","ORGANISM":"Homo sapiens","PMID":"22434910","AUTHORS":"Yu M,Li G,Lee WW,Yuan M,Cui D,Weyand CM,Goronzy JJ.","GEOID":"GSE36476","EXACT_SOURCE":"GSE36476_1731_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated CD4 [GeneID=920] memory T cells from old donors versus those treated with TSST at 16 h.","DESCRIPTION_FULL":"With increasing age, the ability of the immune system to protect against recurring infections or to control chronic infections erodes. The objective of the current study was to identify gene expression signatures in elderly CD4 T cell responses"}
{"STANDARD_NAME":"GSE36476_CTRL_VS_TSST_ACT_40H_MEMORY_CD4_TCELL_OLD_UP","SYSTEMATIC_NAME":"M5299","ORGANISM":"Homo sapiens","PMID":"22434910","AUTHORS":"Yu M,Li G,Lee WW,Yuan M,Cui D,Weyand CM,Goronzy JJ.","GEOID":"GSE36476","EXACT_SOURCE":"GSE36476_1732_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated CD4 [GeneID=920] memory T cells from old donors versus those treated with TSST at 40 h.","DESCRIPTION_FULL":"With increasing age, the ability of the immune system to protect against recurring infections or to control chronic infections erodes. The objective of the current study was to identify gene expression signatures in elderly CD4 T cell responses"}
{"STANDARD_NAME":"GSE36476_CTRL_VS_TSST_ACT_40H_MEMORY_CD4_TCELL_OLD_DN","SYSTEMATIC_NAME":"M5300","ORGANISM":"Homo sapiens","PMID":"22434910","AUTHORS":"Yu M,Li G,Lee WW,Yuan M,Cui D,Weyand CM,Goronzy JJ.","GEOID":"GSE36476","EXACT_SOURCE":"GSE36476_1732_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated CD4 [GeneID=920] memory T cells from old donors versus those treated with TSST at 40 h.","DESCRIPTION_FULL":"With increasing age, the ability of the immune system to protect against recurring infections or to control chronic infections erodes. The objective of the current study was to identify gene expression signatures in elderly CD4 T cell responses"}
{"STANDARD_NAME":"GSE36476_CTRL_VS_TSST_ACT_72H_MEMORY_CD4_TCELL_OLD_UP","SYSTEMATIC_NAME":"M5302","ORGANISM":"Homo sapiens","PMID":"22434910","AUTHORS":"Yu M,Li G,Lee WW,Yuan M,Cui D,Weyand CM,Goronzy JJ.","GEOID":"GSE36476","EXACT_SOURCE":"GSE36476_1733_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated CD4 [GeneID=920] memory T cells from old donors versus those treated with TSST at 72 h.","DESCRIPTION_FULL":"With increasing age, the ability of the immune system to protect against recurring infections or to control chronic infections erodes. The objective of the current study was to identify gene expression signatures in elderly CD4 T cell responses"}
{"STANDARD_NAME":"GSE36476_CTRL_VS_TSST_ACT_72H_MEMORY_CD4_TCELL_OLD_DN","SYSTEMATIC_NAME":"M5303","ORGANISM":"Homo sapiens","PMID":"22434910","AUTHORS":"Yu M,Li G,Lee WW,Yuan M,Cui D,Weyand CM,Goronzy JJ.","GEOID":"GSE36476","EXACT_SOURCE":"GSE36476_1733_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated CD4 [GeneID=920] memory T cells from old donors versus those treated with TSST at 72 h.","DESCRIPTION_FULL":"With increasing age, the ability of the immune system to protect against recurring infections or to control chronic infections erodes. The objective of the current study was to identify gene expression signatures in elderly CD4 T cell responses"}
{"STANDARD_NAME":"GSE36476_YOUNG_VS_OLD_DONOR_MEMORY_CD4_TCELL_UP","SYSTEMATIC_NAME":"M5306","ORGANISM":"Homo sapiens","PMID":"22434910","AUTHORS":"Yu M,Li G,Lee WW,Yuan M,Cui D,Weyand CM,Goronzy JJ.","GEOID":"GSE36476","EXACT_SOURCE":"GSE36476_1734_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated memory CD4 [GeneID=920] T cells from young donors versus those from old donors.","DESCRIPTION_FULL":"With increasing age, the ability of the immune system to protect against recurring infections or to control chronic infections erodes. The objective of the current study was to identify gene expression signatures in elderly CD4 T cell responses"}
{"STANDARD_NAME":"GSE36476_YOUNG_VS_OLD_DONOR_MEMORY_CD4_TCELL_DN","SYSTEMATIC_NAME":"M5307","ORGANISM":"Homo sapiens","PMID":"22434910","AUTHORS":"Yu M,Li G,Lee WW,Yuan M,Cui D,Weyand CM,Goronzy JJ.","GEOID":"GSE36476","EXACT_SOURCE":"GSE36476_1734_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated memory CD4 [GeneID=920] T cells from young donors versus those from old donors.","DESCRIPTION_FULL":"With increasing age, the ability of the immune system to protect against recurring infections or to control chronic infections erodes. The objective of the current study was to identify gene expression signatures in elderly CD4 T cell responses"}
{"STANDARD_NAME":"GSE36476_YOUNG_VS_OLD_DONOR_MEMORY_CD4_TCELL_16H_TSST_ACT_UP","SYSTEMATIC_NAME":"M5313","ORGANISM":"Homo sapiens","PMID":"22434910","AUTHORS":"Yu M,Li G,Lee WW,Yuan M,Cui D,Weyand CM,Goronzy JJ.","GEOID":"GSE36476","EXACT_SOURCE":"GSE36476_1735_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of memory CD4 [GeneID=920] T cells from young donors treated with TSST at 16 h versus those from old donors treated with TSST at 16 h.","DESCRIPTION_FULL":"With increasing age, the ability of the immune system to protect against recurring infections or to control chronic infections erodes. The objective of the current study was to identify gene expression signatures in elderly CD4 T cell responses"}
{"STANDARD_NAME":"GSE36476_YOUNG_VS_OLD_DONOR_MEMORY_CD4_TCELL_16H_TSST_ACT_DN","SYSTEMATIC_NAME":"M5317","ORGANISM":"Homo sapiens","PMID":"22434910","AUTHORS":"Yu M,Li G,Lee WW,Yuan M,Cui D,Weyand CM,Goronzy JJ.","GEOID":"GSE36476","EXACT_SOURCE":"GSE36476_1735_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of memory CD4 [GeneID=920] T cells from young donors treated with TSST at 16 h versus those from old donors treated with TSST at 16 h.","DESCRIPTION_FULL":"With increasing age, the ability of the immune system to protect against recurring infections or to control chronic infections erodes. The objective of the current study was to identify gene expression signatures in elderly CD4 T cell responses"}
{"STANDARD_NAME":"GSE36476_YOUNG_VS_OLD_DONOR_MEMORY_CD4_TCELL_40H_TSST_ACT_UP","SYSTEMATIC_NAME":"M5318","ORGANISM":"Homo sapiens","PMID":"22434910","AUTHORS":"Yu M,Li G,Lee WW,Yuan M,Cui D,Weyand CM,Goronzy JJ.","GEOID":"GSE36476","EXACT_SOURCE":"GSE36476_1736_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of memory CD4 [GeneID=920] T cells from young donors treated with TSST at 40 h versus those from old donors treated with TSST at 40 h.","DESCRIPTION_FULL":"With increasing age, the ability of the immune system to protect against recurring infections or to control chronic infections erodes. The objective of the current study was to identify gene expression signatures in elderly CD4 T cell responses"}
{"STANDARD_NAME":"GSE36476_YOUNG_VS_OLD_DONOR_MEMORY_CD4_TCELL_40H_TSST_ACT_DN","SYSTEMATIC_NAME":"M5322","ORGANISM":"Homo sapiens","PMID":"22434910","AUTHORS":"Yu M,Li G,Lee WW,Yuan M,Cui D,Weyand CM,Goronzy JJ.","GEOID":"GSE36476","EXACT_SOURCE":"GSE36476_1736_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of memory CD4 [GeneID=920] T cells from young donors treated with TSST at 40 h versus those from old donors treated with TSST at 40 h.","DESCRIPTION_FULL":"With increasing age, the ability of the immune system to protect against recurring infections or to control chronic infections erodes. The objective of the current study was to identify gene expression signatures in elderly CD4 T cell responses"}
{"STANDARD_NAME":"GSE36476_YOUNG_VS_OLD_DONOR_MEMORY_CD4_TCELL_72H_TSST_ACT_UP","SYSTEMATIC_NAME":"M5323","ORGANISM":"Homo sapiens","PMID":"22434910","AUTHORS":"Yu M,Li G,Lee WW,Yuan M,Cui D,Weyand CM,Goronzy JJ.","GEOID":"GSE36476","EXACT_SOURCE":"GSE36476_1737_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of memory CD4 [GeneID=920] T cells from young donors treated with TSST at 72 h versus those from old donors treated with TSST at 72 h.","DESCRIPTION_FULL":"With increasing age, the ability of the immune system to protect against recurring infections or to control chronic infections erodes. The objective of the current study was to identify gene expression signatures in elderly CD4 T cell responses"}
{"STANDARD_NAME":"GSE36476_YOUNG_VS_OLD_DONOR_MEMORY_CD4_TCELL_72H_TSST_ACT_DN","SYSTEMATIC_NAME":"M5324","ORGANISM":"Homo sapiens","PMID":"22434910","AUTHORS":"Yu M,Li G,Lee WW,Yuan M,Cui D,Weyand CM,Goronzy JJ.","GEOID":"GSE36476","EXACT_SOURCE":"GSE36476_1737_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of memory CD4 [GeneID=920] T cells from young donors treated with TSST at 72 h versus those from old donors treated with TSST at 72 h.","DESCRIPTION_FULL":"With increasing age, the ability of the immune system to protect against recurring infections or to control chronic infections erodes. The objective of the current study was to identify gene expression signatures in elderly CD4 T cell responses"}
{"STANDARD_NAME":"GSE37416_CTRL_VS_0H_F_TULARENSIS_LVS_NEUTROPHIL_UP","SYSTEMATIC_NAME":"M5326","ORGANISM":"Homo sapiens","PMID":"22986450","AUTHORS":"Schwartz JT,Bandyopadhyay S,Kobayashi SD,McCracken J,Whitney AR,Deleo FR,Allen LA.","GEOID":"GSE37416","EXACT_SOURCE":"GSE37416_2050_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control polymorphonuclear leukocytes (PMN) at 0 h versus PMN treated with F. tularensis vaccine at 0 h.","DESCRIPTION_FULL":"We demonstrated recently that both constitutive and FAS-triggered apoptosis of human neutrophils are profoundly impaired by Francisella tularensis, but how this is achieved is largely unknown. To test the hypothesis that changes in neutrophil gene expression contribute to this phenotype, we used human oligonucleotide microarrays to identify differentially regulated genes in cells infected with F. tularensis strain LVS compared with uninfected controls. In order to examine the effect of F. tularensis on the neutrophil transcriptome, we performed microarray expression analysis on human neutrophils treated with F. tularensis subsp. holarctica live vaccine strain (LVS)."}
{"STANDARD_NAME":"GSE37416_CTRL_VS_0H_F_TULARENSIS_LVS_NEUTROPHIL_DN","SYSTEMATIC_NAME":"M5327","ORGANISM":"Homo sapiens","PMID":"22986450","AUTHORS":"Schwartz JT,Bandyopadhyay S,Kobayashi SD,McCracken J,Whitney AR,Deleo FR,Allen LA.","GEOID":"GSE37416","EXACT_SOURCE":"GSE37416_2050_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control polymorphonuclear leukocytes (PMN) at 0 h versus PMN treated with F. tularensis vaccine at 0 h.","DESCRIPTION_FULL":"We demonstrated recently that both constitutive and FAS-triggered apoptosis of human neutrophils are profoundly impaired by Francisella tularensis, but how this is achieved is largely unknown. To test the hypothesis that changes in neutrophil gene expression contribute to this phenotype, we used human oligonucleotide microarrays to identify differentially regulated genes in cells infected with F. tularensis strain LVS compared with uninfected controls. In order to examine the effect of F. tularensis on the neutrophil transcriptome, we performed microarray expression analysis on human neutrophils treated with F. tularensis subsp. holarctica live vaccine strain (LVS)."}
{"STANDARD_NAME":"GSE37416_CTRL_VS_3H_F_TULARENSIS_LVS_NEUTROPHIL_UP","SYSTEMATIC_NAME":"M5328","ORGANISM":"Homo sapiens","PMID":"22986450","AUTHORS":"Schwartz JT,Bandyopadhyay S,Kobayashi SD,McCracken J,Whitney AR,Deleo FR,Allen LA.","GEOID":"GSE37416","EXACT_SOURCE":"GSE37416_2051_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control polymorphonuclear leukocytes (PMN) at 3 h versus PMN treated with F. tularensis vaccine at 3 h.","DESCRIPTION_FULL":"We demonstrated recently that both constitutive and FAS-triggered apoptosis of human neutrophils are profoundly impaired by Francisella tularensis, but how this is achieved is largely unknown. To test the hypothesis that changes in neutrophil gene expression contribute to this phenotype, we used human oligonucleotide microarrays to identify differentially regulated genes in cells infected with F. tularensis strain LVS compared with uninfected controls. In order to examine the effect of F. tularensis on the neutrophil transcriptome, we performed microarray expression analysis on human neutrophils treated with F. tularensis subsp. holarctica live vaccine strain (LVS)."}
{"STANDARD_NAME":"GSE37416_CTRL_VS_3H_F_TULARENSIS_LVS_NEUTROPHIL_DN","SYSTEMATIC_NAME":"M5330","ORGANISM":"Homo sapiens","PMID":"22986450","AUTHORS":"Schwartz JT,Bandyopadhyay S,Kobayashi SD,McCracken J,Whitney AR,Deleo FR,Allen LA.","GEOID":"GSE37416","EXACT_SOURCE":"GSE37416_2051_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control polymorphonuclear leukocytes (PMN) at 3 h versus PMN treated with F. tularensis vaccine at 3 h.","DESCRIPTION_FULL":"We demonstrated recently that both constitutive and FAS-triggered apoptosis of human neutrophils are profoundly impaired by Francisella tularensis, but how this is achieved is largely unknown. To test the hypothesis that changes in neutrophil gene expression contribute to this phenotype, we used human oligonucleotide microarrays to identify differentially regulated genes in cells infected with F. tularensis strain LVS compared with uninfected controls. In order to examine the effect of F. tularensis on the neutrophil transcriptome, we performed microarray expression analysis on human neutrophils treated with F. tularensis subsp. holarctica live vaccine strain (LVS)."}
{"STANDARD_NAME":"GSE37416_CTRL_VS_6H_F_TULARENSIS_LVS_NEUTROPHIL_UP","SYSTEMATIC_NAME":"M5332","ORGANISM":"Homo sapiens","PMID":"22986450","AUTHORS":"Schwartz JT,Bandyopadhyay S,Kobayashi SD,McCracken J,Whitney AR,Deleo FR,Allen LA.","GEOID":"GSE37416","EXACT_SOURCE":"GSE37416_2052_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control polymorphonuclear leukocytes (PMN) at 6 h versus PMN treated with F. tularensis vaccine at 6 h.","DESCRIPTION_FULL":"We demonstrated recently that both constitutive and FAS-triggered apoptosis of human neutrophils are profoundly impaired by Francisella tularensis, but how this is achieved is largely unknown. To test the hypothesis that changes in neutrophil gene expression contribute to this phenotype, we used human oligonucleotide microarrays to identify differentially regulated genes in cells infected with F. tularensis strain LVS compared with uninfected controls. In order to examine the effect of F. tularensis on the neutrophil transcriptome, we performed microarray expression analysis on human neutrophils treated with F. tularensis subsp. holarctica live vaccine strain (LVS)."}
{"STANDARD_NAME":"GSE37416_CTRL_VS_6H_F_TULARENSIS_LVS_NEUTROPHIL_DN","SYSTEMATIC_NAME":"M5333","ORGANISM":"Homo sapiens","PMID":"22986450","AUTHORS":"Schwartz JT,Bandyopadhyay S,Kobayashi SD,McCracken J,Whitney AR,Deleo FR,Allen LA.","GEOID":"GSE37416","EXACT_SOURCE":"GSE37416_2052_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control polymorphonuclear leukocytes (PMN) at 6 h versus PMN treated with F. tularensis vaccine at 6 h.","DESCRIPTION_FULL":"We demonstrated recently that both constitutive and FAS-triggered apoptosis of human neutrophils are profoundly impaired by Francisella tularensis, but how this is achieved is largely unknown. To test the hypothesis that changes in neutrophil gene expression contribute to this phenotype, we used human oligonucleotide microarrays to identify differentially regulated genes in cells infected with F. tularensis strain LVS compared with uninfected controls. In order to examine the effect of F. tularensis on the neutrophil transcriptome, we performed microarray expression analysis on human neutrophils treated with F. tularensis subsp. holarctica live vaccine strain (LVS)."}
{"STANDARD_NAME":"GSE37416_CTRL_VS_12H_F_TULARENSIS_LVS_NEUTROPHIL_UP","SYSTEMATIC_NAME":"M5334","ORGANISM":"Homo sapiens","PMID":"22986450","AUTHORS":"Schwartz JT,Bandyopadhyay S,Kobayashi SD,McCracken J,Whitney AR,Deleo FR,Allen LA.","GEOID":"GSE37416","EXACT_SOURCE":"GSE37416_2053_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control polymorphonuclear leukocytes (PMN) at 12 h versus PMN treated with F. tularensis vaccine at 12 h.","DESCRIPTION_FULL":"We demonstrated recently that both constitutive and FAS-triggered apoptosis of human neutrophils are profoundly impaired by Francisella tularensis, but how this is achieved is largely unknown. To test the hypothesis that changes in neutrophil gene expression contribute to this phenotype, we used human oligonucleotide microarrays to identify differentially regulated genes in cells infected with F. tularensis strain LVS compared with uninfected controls. In order to examine the effect of F. tularensis on the neutrophil transcriptome, we performed microarray expression analysis on human neutrophils treated with F. tularensis subsp. holarctica live vaccine strain (LVS)."}
{"STANDARD_NAME":"GSE37416_CTRL_VS_12H_F_TULARENSIS_LVS_NEUTROPHIL_DN","SYSTEMATIC_NAME":"M5335","ORGANISM":"Homo sapiens","PMID":"22986450","AUTHORS":"Schwartz JT,Bandyopadhyay S,Kobayashi SD,McCracken J,Whitney AR,Deleo FR,Allen LA.","GEOID":"GSE37416","EXACT_SOURCE":"GSE37416_2053_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control polymorphonuclear leukocytes (PMN) at 12 h versus PMN treated with F. tularensis vaccine at 12 h.","DESCRIPTION_FULL":"We demonstrated recently that both constitutive and FAS-triggered apoptosis of human neutrophils are profoundly impaired by Francisella tularensis, but how this is achieved is largely unknown. To test the hypothesis that changes in neutrophil gene expression contribute to this phenotype, we used human oligonucleotide microarrays to identify differentially regulated genes in cells infected with F. tularensis strain LVS compared with uninfected controls. In order to examine the effect of F. tularensis on the neutrophil transcriptome, we performed microarray expression analysis on human neutrophils treated with F. tularensis subsp. holarctica live vaccine strain (LVS)."}
{"STANDARD_NAME":"GSE37416_CTRL_VS_24H_F_TULARENSIS_LVS_NEUTROPHIL_UP","SYSTEMATIC_NAME":"M5337","ORGANISM":"Homo sapiens","PMID":"22986450","AUTHORS":"Schwartz JT,Bandyopadhyay S,Kobayashi SD,McCracken J,Whitney AR,Deleo FR,Allen LA.","GEOID":"GSE37416","EXACT_SOURCE":"GSE37416_2054_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control polymorphonuclear leukocytes (PMN) at 24 h versus PMN treated with F. tularensis vaccine at 24 h.","DESCRIPTION_FULL":"We demonstrated recently that both constitutive and FAS-triggered apoptosis of human neutrophils are profoundly impaired by Francisella tularensis, but how this is achieved is largely unknown. To test the hypothesis that changes in neutrophil gene expression contribute to this phenotype, we used human oligonucleotide microarrays to identify differentially regulated genes in cells infected with F. tularensis strain LVS compared with uninfected controls. In order to examine the effect of F. tularensis on the neutrophil transcriptome, we performed microarray expression analysis on human neutrophils treated with F. tularensis subsp. holarctica live vaccine strain (LVS)."}
{"STANDARD_NAME":"GSE37416_CTRL_VS_24H_F_TULARENSIS_LVS_NEUTROPHIL_DN","SYSTEMATIC_NAME":"M5338","ORGANISM":"Homo sapiens","PMID":"22986450","AUTHORS":"Schwartz JT,Bandyopadhyay S,Kobayashi SD,McCracken J,Whitney AR,Deleo FR,Allen LA.","GEOID":"GSE37416","EXACT_SOURCE":"GSE37416_2054_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control polymorphonuclear leukocytes (PMN) at 24 h versus PMN treated with F. tularensis vaccine at 24 h.","DESCRIPTION_FULL":"We demonstrated recently that both constitutive and FAS-triggered apoptosis of human neutrophils are profoundly impaired by Francisella tularensis, but how this is achieved is largely unknown. To test the hypothesis that changes in neutrophil gene expression contribute to this phenotype, we used human oligonucleotide microarrays to identify differentially regulated genes in cells infected with F. tularensis strain LVS compared with uninfected controls. In order to examine the effect of F. tularensis on the neutrophil transcriptome, we performed microarray expression analysis on human neutrophils treated with F. tularensis subsp. holarctica live vaccine strain (LVS)."}
{"STANDARD_NAME":"GSE37416_CTRL_VS_48H_F_TULARENSIS_LVS_NEUTROPHIL_UP","SYSTEMATIC_NAME":"M5339","ORGANISM":"Homo sapiens","PMID":"22986450","AUTHORS":"Schwartz JT,Bandyopadhyay S,Kobayashi SD,McCracken J,Whitney AR,Deleo FR,Allen LA.","GEOID":"GSE37416","EXACT_SOURCE":"GSE37416_2055_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control polymorphonuclear leukocytes (PMN) at 48 h versus PMN treated with F. tularensis vaccine at 48 h.","DESCRIPTION_FULL":"We demonstrated recently that both constitutive and FAS-triggered apoptosis of human neutrophils are profoundly impaired by Francisella tularensis, but how this is achieved is largely unknown. To test the hypothesis that changes in neutrophil gene expression contribute to this phenotype, we used human oligonucleotide microarrays to identify differentially regulated genes in cells infected with F. tularensis strain LVS compared with uninfected controls. In order to examine the effect of F. tularensis on the neutrophil transcriptome, we performed microarray expression analysis on human neutrophils treated with F. tularensis subsp. holarctica live vaccine strain (LVS)."}
{"STANDARD_NAME":"GSE37416_CTRL_VS_48H_F_TULARENSIS_LVS_NEUTROPHIL_DN","SYSTEMATIC_NAME":"M5340","ORGANISM":"Homo sapiens","PMID":"22986450","AUTHORS":"Schwartz JT,Bandyopadhyay S,Kobayashi SD,McCracken J,Whitney AR,Deleo FR,Allen LA.","GEOID":"GSE37416","EXACT_SOURCE":"GSE37416_2055_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control polymorphonuclear leukocytes (PMN) at 48 h versus PMN treated with F. tularensis vaccine at 48 h.","DESCRIPTION_FULL":"We demonstrated recently that both constitutive and FAS-triggered apoptosis of human neutrophils are profoundly impaired by Francisella tularensis, but how this is achieved is largely unknown. To test the hypothesis that changes in neutrophil gene expression contribute to this phenotype, we used human oligonucleotide microarrays to identify differentially regulated genes in cells infected with F. tularensis strain LVS compared with uninfected controls. In order to examine the effect of F. tularensis on the neutrophil transcriptome, we performed microarray expression analysis on human neutrophils treated with F. tularensis subsp. holarctica live vaccine strain (LVS)."}
{"STANDARD_NAME":"GSE37416_0H_VS_3H_F_TULARENSIS_LVS_NEUTROPHIL_UP","SYSTEMATIC_NAME":"M5341","ORGANISM":"Homo sapiens","PMID":"22986450","AUTHORS":"Schwartz JT,Bandyopadhyay S,Kobayashi SD,McCracken J,Whitney AR,Deleo FR,Allen LA.","GEOID":"GSE37416","EXACT_SOURCE":"GSE37416_2056_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control polymorphonuclear leukocytes (PMN) at 0 h versus PMN treated with F. tularensis vaccine at 3 h.","DESCRIPTION_FULL":"We demonstrated recently that both constitutive and FAS-triggered apoptosis of human neutrophils are profoundly impaired by Francisella tularensis, but how this is achieved is largely unknown. To test the hypothesis that changes in neutrophil gene expression contribute to this phenotype, we used human oligonucleotide microarrays to identify differentially regulated genes in cells infected with F. tularensis strain LVS compared with uninfected controls. In order to examine the effect of F. tularensis on the neutrophil transcriptome, we performed microarray expression analysis on human neutrophils treated with F. tularensis subsp. holarctica live vaccine strain (LVS)."}
{"STANDARD_NAME":"GSE37416_0H_VS_3H_F_TULARENSIS_LVS_NEUTROPHIL_DN","SYSTEMATIC_NAME":"M5342","ORGANISM":"Homo sapiens","PMID":"22986450","AUTHORS":"Schwartz JT,Bandyopadhyay S,Kobayashi SD,McCracken J,Whitney AR,Deleo FR,Allen LA.","GEOID":"GSE37416","EXACT_SOURCE":"GSE37416_2056_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control polymorphonuclear leukocytes (PMN) at 0 h versus PMN treated with F. tularensis vaccine at 3 h.","DESCRIPTION_FULL":"We demonstrated recently that both constitutive and FAS-triggered apoptosis of human neutrophils are profoundly impaired by Francisella tularensis, but how this is achieved is largely unknown. To test the hypothesis that changes in neutrophil gene expression contribute to this phenotype, we used human oligonucleotide microarrays to identify differentially regulated genes in cells infected with F. tularensis strain LVS compared with uninfected controls. In order to examine the effect of F. tularensis on the neutrophil transcriptome, we performed microarray expression analysis on human neutrophils treated with F. tularensis subsp. holarctica live vaccine strain (LVS)."}
{"STANDARD_NAME":"GSE37416_0H_VS_6H_F_TULARENSIS_LVS_NEUTROPHIL_UP","SYSTEMATIC_NAME":"M5344","ORGANISM":"Homo sapiens","PMID":"22986450","AUTHORS":"Schwartz JT,Bandyopadhyay S,Kobayashi SD,McCracken J,Whitney AR,Deleo FR,Allen LA.","GEOID":"GSE37416","EXACT_SOURCE":"GSE37416_2057_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control polymorphonuclear leukocytes (PMN) at 0 h versus PMN treated with F. tularensis vaccine at 6 h.","DESCRIPTION_FULL":"We demonstrated recently that both constitutive and FAS-triggered apoptosis of human neutrophils are profoundly impaired by Francisella tularensis, but how this is achieved is largely unknown. To test the hypothesis that changes in neutrophil gene expression contribute to this phenotype, we used human oligonucleotide microarrays to identify differentially regulated genes in cells infected with F. tularensis strain LVS compared with uninfected controls. In order to examine the effect of F. tularensis on the neutrophil transcriptome, we performed microarray expression analysis on human neutrophils treated with F. tularensis subsp. holarctica live vaccine strain (LVS)."}
{"STANDARD_NAME":"GSE37416_0H_VS_6H_F_TULARENSIS_LVS_NEUTROPHIL_DN","SYSTEMATIC_NAME":"M5346","ORGANISM":"Homo sapiens","PMID":"22986450","AUTHORS":"Schwartz JT,Bandyopadhyay S,Kobayashi SD,McCracken J,Whitney AR,Deleo FR,Allen LA.","GEOID":"GSE37416","EXACT_SOURCE":"GSE37416_2057_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control polymorphonuclear leukocytes (PMN) at 0 h versus PMN treated with F. tularensis vaccine at 6 h.","DESCRIPTION_FULL":"We demonstrated recently that both constitutive and FAS-triggered apoptosis of human neutrophils are profoundly impaired by Francisella tularensis, but how this is achieved is largely unknown. To test the hypothesis that changes in neutrophil gene expression contribute to this phenotype, we used human oligonucleotide microarrays to identify differentially regulated genes in cells infected with F. tularensis strain LVS compared with uninfected controls. In order to examine the effect of F. tularensis on the neutrophil transcriptome, we performed microarray expression analysis on human neutrophils treated with F. tularensis subsp. holarctica live vaccine strain (LVS)."}
{"STANDARD_NAME":"GSE37416_0H_VS_12H_F_TULARENSIS_LVS_NEUTROPHIL_UP","SYSTEMATIC_NAME":"M5347","ORGANISM":"Homo sapiens","PMID":"22986450","AUTHORS":"Schwartz JT,Bandyopadhyay S,Kobayashi SD,McCracken J,Whitney AR,Deleo FR,Allen LA.","GEOID":"GSE37416","EXACT_SOURCE":"GSE37416_2058_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control polymorphonuclear leukocytes (PMN) at 0 h versus PMN treated with F. tularensis vaccine at 12 h.","DESCRIPTION_FULL":"We demonstrated recently that both constitutive and FAS-triggered apoptosis of human neutrophils are profoundly impaired by Francisella tularensis, but how this is achieved is largely unknown. To test the hypothesis that changes in neutrophil gene expression contribute to this phenotype, we used human oligonucleotide microarrays to identify differentially regulated genes in cells infected with F. tularensis strain LVS compared with uninfected controls. In order to examine the effect of F. tularensis on the neutrophil transcriptome, we performed microarray expression analysis on human neutrophils treated with F. tularensis subsp. holarctica live vaccine strain (LVS)."}
{"STANDARD_NAME":"GSE37416_0H_VS_12H_F_TULARENSIS_LVS_NEUTROPHIL_DN","SYSTEMATIC_NAME":"M5348","ORGANISM":"Homo sapiens","PMID":"22986450","AUTHORS":"Schwartz JT,Bandyopadhyay S,Kobayashi SD,McCracken J,Whitney AR,Deleo FR,Allen LA.","GEOID":"GSE37416","EXACT_SOURCE":"GSE37416_2058_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control polymorphonuclear leukocytes (PMN) at 0 h versus PMN treated with F. tularensis vaccine at 12 h.","DESCRIPTION_FULL":"We demonstrated recently that both constitutive and FAS-triggered apoptosis of human neutrophils are profoundly impaired by Francisella tularensis, but how this is achieved is largely unknown. To test the hypothesis that changes in neutrophil gene expression contribute to this phenotype, we used human oligonucleotide microarrays to identify differentially regulated genes in cells infected with F. tularensis strain LVS compared with uninfected controls. In order to examine the effect of F. tularensis on the neutrophil transcriptome, we performed microarray expression analysis on human neutrophils treated with F. tularensis subsp. holarctica live vaccine strain (LVS)."}
{"STANDARD_NAME":"GSE37416_0H_VS_24H_F_TULARENSIS_LVS_NEUTROPHIL_UP","SYSTEMATIC_NAME":"M5349","ORGANISM":"Homo sapiens","PMID":"22986450","AUTHORS":"Schwartz JT,Bandyopadhyay S,Kobayashi SD,McCracken J,Whitney AR,Deleo FR,Allen LA.","GEOID":"GSE37416","EXACT_SOURCE":"GSE37416_2059_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control polymorphonuclear leukocytes (PMN) at 0 h versus PMN treated with F. tularensis vaccine at 24 h.","DESCRIPTION_FULL":"We demonstrated recently that both constitutive and FAS-triggered apoptosis of human neutrophils are profoundly impaired by Francisella tularensis, but how this is achieved is largely unknown. To test the hypothesis that changes in neutrophil gene expression contribute to this phenotype, we used human oligonucleotide microarrays to identify differentially regulated genes in cells infected with F. tularensis strain LVS compared with uninfected controls. In order to examine the effect of F. tularensis on the neutrophil transcriptome, we performed microarray expression analysis on human neutrophils treated with F. tularensis subsp. holarctica live vaccine strain (LVS)."}
{"STANDARD_NAME":"GSE37416_0H_VS_24H_F_TULARENSIS_LVS_NEUTROPHIL_DN","SYSTEMATIC_NAME":"M5350","ORGANISM":"Homo sapiens","PMID":"22986450","AUTHORS":"Schwartz JT,Bandyopadhyay S,Kobayashi SD,McCracken J,Whitney AR,Deleo FR,Allen LA.","GEOID":"GSE37416","EXACT_SOURCE":"GSE37416_2059_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control polymorphonuclear leukocytes (PMN) at 0 h versus PMN treated with F. tularensis vaccine at 24 h.","DESCRIPTION_FULL":"We demonstrated recently that both constitutive and FAS-triggered apoptosis of human neutrophils are profoundly impaired by Francisella tularensis, but how this is achieved is largely unknown. To test the hypothesis that changes in neutrophil gene expression contribute to this phenotype, we used human oligonucleotide microarrays to identify differentially regulated genes in cells infected with F. tularensis strain LVS compared with uninfected controls. In order to examine the effect of F. tularensis on the neutrophil transcriptome, we performed microarray expression analysis on human neutrophils treated with F. tularensis subsp. holarctica live vaccine strain (LVS)."}
{"STANDARD_NAME":"GSE37416_0H_VS_48H_F_TULARENSIS_LVS_NEUTROPHIL_UP","SYSTEMATIC_NAME":"M5351","ORGANISM":"Homo sapiens","PMID":"22986450","AUTHORS":"Schwartz JT,Bandyopadhyay S,Kobayashi SD,McCracken J,Whitney AR,Deleo FR,Allen LA.","GEOID":"GSE37416","EXACT_SOURCE":"GSE37416_2060_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control polymorphonuclear leukocytes (PMN) at 0 h versus PMN treated with F. tularensis vaccine at 48 h.","DESCRIPTION_FULL":"We demonstrated recently that both constitutive and FAS-triggered apoptosis of human neutrophils are profoundly impaired by Francisella tularensis, but how this is achieved is largely unknown. To test the hypothesis that changes in neutrophil gene expression contribute to this phenotype, we used human oligonucleotide microarrays to identify differentially regulated genes in cells infected with F. tularensis strain LVS compared with uninfected controls. In order to examine the effect of F. tularensis on the neutrophil transcriptome, we performed microarray expression analysis on human neutrophils treated with F. tularensis subsp. holarctica live vaccine strain (LVS)."}
{"STANDARD_NAME":"GSE37416_0H_VS_48H_F_TULARENSIS_LVS_NEUTROPHIL_DN","SYSTEMATIC_NAME":"M5353","ORGANISM":"Homo sapiens","PMID":"22986450","AUTHORS":"Schwartz JT,Bandyopadhyay S,Kobayashi SD,McCracken J,Whitney AR,Deleo FR,Allen LA.","GEOID":"GSE37416","EXACT_SOURCE":"GSE37416_2060_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control polymorphonuclear leukocytes (PMN) at 0 h versus PMN treated with F. tularensis vaccine at 48 h.","DESCRIPTION_FULL":"We demonstrated recently that both constitutive and FAS-triggered apoptosis of human neutrophils are profoundly impaired by Francisella tularensis, but how this is achieved is largely unknown. To test the hypothesis that changes in neutrophil gene expression contribute to this phenotype, we used human oligonucleotide microarrays to identify differentially regulated genes in cells infected with F. tularensis strain LVS compared with uninfected controls. In order to examine the effect of F. tularensis on the neutrophil transcriptome, we performed microarray expression analysis on human neutrophils treated with F. tularensis subsp. holarctica live vaccine strain (LVS)."}
{"STANDARD_NAME":"GSE37416_12H_VS_24H_F_TULARENSIS_LVS_NEUTROPHIL_UP","SYSTEMATIC_NAME":"M5357","ORGANISM":"Homo sapiens","PMID":"22986450","AUTHORS":"Schwartz JT,Bandyopadhyay S,Kobayashi SD,McCracken J,Whitney AR,Deleo FR,Allen LA.","GEOID":"GSE37416","EXACT_SOURCE":"GSE37416_2064_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control polymorphonuclear leukocytes (PMN) at 12 h versus PMN treated with F. tularensis vaccine at 24 h.","DESCRIPTION_FULL":"We demonstrated recently that both constitutive and FAS-triggered apoptosis of human neutrophils are profoundly impaired by Francisella tularensis, but how this is achieved is largely unknown. To test the hypothesis that changes in neutrophil gene expression contribute to this phenotype, we used human oligonucleotide microarrays to identify differentially regulated genes in cells infected with F. tularensis strain LVS compared with uninfected controls. In order to examine the effect of F. tularensis on the neutrophil transcriptome, we performed microarray expression analysis on human neutrophils treated with F. tularensis subsp. holarctica live vaccine strain (LVS)."}
{"STANDARD_NAME":"GSE37416_12H_VS_24H_F_TULARENSIS_LVS_NEUTROPHIL_DN","SYSTEMATIC_NAME":"M5358","ORGANISM":"Homo sapiens","PMID":"22986450","AUTHORS":"Schwartz JT,Bandyopadhyay S,Kobayashi SD,McCracken J,Whitney AR,Deleo FR,Allen LA.","GEOID":"GSE37416","EXACT_SOURCE":"GSE37416_2064_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control polymorphonuclear leukocytes (PMN) at 12 h versus PMN treated with F. tularensis vaccine at 24 h.","DESCRIPTION_FULL":"We demonstrated recently that both constitutive and FAS-triggered apoptosis of human neutrophils are profoundly impaired by Francisella tularensis, but how this is achieved is largely unknown. To test the hypothesis that changes in neutrophil gene expression contribute to this phenotype, we used human oligonucleotide microarrays to identify differentially regulated genes in cells infected with F. tularensis strain LVS compared with uninfected controls. In order to examine the effect of F. tularensis on the neutrophil transcriptome, we performed microarray expression analysis on human neutrophils treated with F. tularensis subsp. holarctica live vaccine strain (LVS)."}
{"STANDARD_NAME":"GSE37416_12H_VS_48H_F_TULARENSIS_LVS_NEUTROPHIL_UP","SYSTEMATIC_NAME":"M5359","ORGANISM":"Homo sapiens","PMID":"22986450","AUTHORS":"Schwartz JT,Bandyopadhyay S,Kobayashi SD,McCracken J,Whitney AR,Deleo FR,Allen LA.","GEOID":"GSE37416","EXACT_SOURCE":"GSE37416_2065_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control polymorphonuclear leukocytes (PMN) at 12 h versus PMN treated with F. tularensis vaccine at 48 h.","DESCRIPTION_FULL":"We demonstrated recently that both constitutive and FAS-triggered apoptosis of human neutrophils are profoundly impaired by Francisella tularensis, but how this is achieved is largely unknown. To test the hypothesis that changes in neutrophil gene expression contribute to this phenotype, we used human oligonucleotide microarrays to identify differentially regulated genes in cells infected with F. tularensis strain LVS compared with uninfected controls. In order to examine the effect of F. tularensis on the neutrophil transcriptome, we performed microarray expression analysis on human neutrophils treated with F. tularensis subsp. holarctica live vaccine strain (LVS)."}
{"STANDARD_NAME":"GSE37416_12H_VS_48H_F_TULARENSIS_LVS_NEUTROPHIL_DN","SYSTEMATIC_NAME":"M5361","ORGANISM":"Homo sapiens","PMID":"22986450","AUTHORS":"Schwartz JT,Bandyopadhyay S,Kobayashi SD,McCracken J,Whitney AR,Deleo FR,Allen LA.","GEOID":"GSE37416","EXACT_SOURCE":"GSE37416_2065_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control polymorphonuclear leukocytes (PMN) at 12 h versus PMN treated with F. tularensis vaccine at 48 h.","DESCRIPTION_FULL":"We demonstrated recently that both constitutive and FAS-triggered apoptosis of human neutrophils are profoundly impaired by Francisella tularensis, but how this is achieved is largely unknown. To test the hypothesis that changes in neutrophil gene expression contribute to this phenotype, we used human oligonucleotide microarrays to identify differentially regulated genes in cells infected with F. tularensis strain LVS compared with uninfected controls. In order to examine the effect of F. tularensis on the neutrophil transcriptome, we performed microarray expression analysis on human neutrophils treated with F. tularensis subsp. holarctica live vaccine strain (LVS)."}
{"STANDARD_NAME":"GSE3982_CTRL_VS_PMA_STIM_EOSINOPHIL_UP","SYSTEMATIC_NAME":"M5363","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1761_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated eosinophils versus eosinophils treated with PMA [PubChem=4792] at 2 h.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_CTRL_VS_PMA_STIM_EOSINOPHIL_DN","SYSTEMATIC_NAME":"M5364","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1761_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated eosinophils versus eosinophils treated with PMA [PubChem=4792] at 2 h.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_CTRL_VS_IGE_STIM_MAST_CELL_UP","SYSTEMATIC_NAME":"M5365","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1762_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated mast cells versus mast cells treated with IgE at 2 h.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_CTRL_VS_IGE_STIM_MAST_CELL_DN","SYSTEMATIC_NAME":"M5366","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1762_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated mast cells versus mast cells treated with IgE at 2 h.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_CTRL_VS_LPS_4H_MAC_UP","SYSTEMATIC_NAME":"M5367","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1763_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated macrophages versus macrophages treated with LPS (TLR4 agonist) at 4 h.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_CTRL_VS_LPS_4H_MAC_DN","SYSTEMATIC_NAME":"M5368","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1763_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated macrophages versus macrophages treated with LPS (TLR4 agonist) at 4 h.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_CTRL_VS_LPS_1H_NEUTROPHIL_UP","SYSTEMATIC_NAME":"M5371","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1764_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated neutrophils versus neutrophils treated with LPS (TLR4 agonist) at 1 h.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_CTRL_VS_LPS_1H_NEUTROPHIL_DN","SYSTEMATIC_NAME":"M5373","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1764_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated neutrophils versus neutrophils treated with LPS (TLR4 agonist) at 1 h.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_CTRL_VS_LPS_48H_DC_UP","SYSTEMATIC_NAME":"M5375","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1765_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated dendritic cells (DC) versus DCs treated with LPS (TLR4 agonist) at 48 h.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_CTRL_VS_LPS_48H_DC_DN","SYSTEMATIC_NAME":"M5377","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1765_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated dendritic cells (DC) versus DCs treated with LPS (TLR4 agonist) at 48 h.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_MEMORY_CD4_TCELL_VS_TH1_UP","SYSTEMATIC_NAME":"M5378","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1766_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of memory CD4 [GeneID=920] T cells versus Th1 cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_MEMORY_CD4_TCELL_VS_TH1_DN","SYSTEMATIC_NAME":"M5379","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1766_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of memory CD4 [GeneID=920] T cells versus Th1 cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_MEMORY_CD4_TCELL_VS_TH2_UP","SYSTEMATIC_NAME":"M5381","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1767_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of memory CD4 [GeneID=920] T cells versus Th2 cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_MEMORY_CD4_TCELL_VS_TH2_DN","SYSTEMATIC_NAME":"M5382","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1767_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of memory CD4 [GeneID=920] T cells versus Th2 cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_MEMORY_CD4_TCELL_VS_BCELL_UP","SYSTEMATIC_NAME":"M5384","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1768_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of memory CD4 [GeneID=920] T cells versus B cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_MEMORY_CD4_TCELL_VS_BCELL_DN","SYSTEMATIC_NAME":"M5385","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1768_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of memory CD4 [GeneID=920] T cells versus B cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_DC_VS_MAC_LPS_STIM_UP","SYSTEMATIC_NAME":"M5387","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1769_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulatd with LPS (TLR4 agonist) at 48 h versus macrophages stimulated with LPS (TLR4 agonist) at 4 h.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_DC_VS_MAC_LPS_STIM_DN","SYSTEMATIC_NAME":"M5390","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1769_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulatd with LPS (TLR4 agonist) at 48 h versus macrophages stimulated with LPS (TLR4 agonist) at 4 h.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_DC_VS_NEUTROPHIL_LPS_STIM_UP","SYSTEMATIC_NAME":"M5391","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1770_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 48 h versus neutrophils stimulated with LPS (TLR4 agonist) at 1 h.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_DC_VS_NEUTROPHIL_LPS_STIM_DN","SYSTEMATIC_NAME":"M5393","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1770_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) stimulated with LPS (TLR4 agonist) at 48 h versus neutrophils stimulated with LPS (TLR4 agonist) at 1 h.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_MAC_VS_NEUTROPHIL_LPS_STIM_UP","SYSTEMATIC_NAME":"M5394","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1771_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of macrophages stimulated with LPS (TLR4 agonist) at 4 h versus neutrophils stimulated with LPS (TLR4 agonist) at 1 h.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_MAC_VS_NEUTROPHIL_LPS_STIM_DN","SYSTEMATIC_NAME":"M5396","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1771_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of macrophages stimulated with LPS (TLR4 agonist) at 4 h versus neutrophils stimulated with LPS (TLR4 agonist) at 1 h.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_EOSINOPHIL_VS_MAST_CELL_UP","SYSTEMATIC_NAME":"M5397","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1772_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of eosinophils versus mast cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_EOSINOPHIL_VS_MAST_CELL_DN","SYSTEMATIC_NAME":"M5398","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1772_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of eosinophils versus mast cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_EOSINOPHIL_VS_DC_UP","SYSTEMATIC_NAME":"M5399","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1773_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of eosinophils versus dendritic cells (DC).","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_EOSINOPHIL_VS_DC_DN","SYSTEMATIC_NAME":"M5400","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1773_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of eosinophils versus dendritic cells (DC).","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_EOSINOPHIL_VS_MAC_UP","SYSTEMATIC_NAME":"M5401","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1774_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of eosinophils versus macrophages.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_EOSINOPHIL_VS_MAC_DN","SYSTEMATIC_NAME":"M5403","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1774_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of eosinophils versus macrophages.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_EOSINOPHIL_VS_NEUTROPHIL_UP","SYSTEMATIC_NAME":"M5404","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1775_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of eosinophils versus neutrophils.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_EOSINOPHIL_VS_NEUTROPHIL_DN","SYSTEMATIC_NAME":"M5405","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1775_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of eosinophils versus neutrophils.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_EOSINOPHIL_VS_BCELL_UP","SYSTEMATIC_NAME":"M5406","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1776_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of eosinophils versus B cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_EOSINOPHIL_VS_BCELL_DN","SYSTEMATIC_NAME":"M5411","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1776_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of eosinophils versus B cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_EOSINOPHIL_VS_BASOPHIL_UP","SYSTEMATIC_NAME":"M5413","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1777_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of eosinophils versus basophils.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_EOSINOPHIL_VS_BASOPHIL_DN","SYSTEMATIC_NAME":"M5414","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1777_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of eosinophils versus basophils.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_EOSINOPHIL_VS_EFF_MEMORY_CD4_TCELL_UP","SYSTEMATIC_NAME":"M5416","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1778_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of eosinophils versus effector memory CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_EOSINOPHIL_VS_EFF_MEMORY_CD4_TCELL_DN","SYSTEMATIC_NAME":"M5417","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1778_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of eosinophils versus effector memory CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_EOSINOPHIL_VS_CENT_MEMORY_CD4_TCELL_UP","SYSTEMATIC_NAME":"M5418","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1779_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of eosinophils versus central memory CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_EOSINOPHIL_VS_CENT_MEMORY_CD4_TCELL_DN","SYSTEMATIC_NAME":"M5419","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1779_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of eosinophils versus central memory CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_EOSINOPHIL_VS_NKCELL_UP","SYSTEMATIC_NAME":"M5420","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1780_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of eosinophils versus NK cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_EOSINOPHIL_VS_NKCELL_DN","SYSTEMATIC_NAME":"M5421","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1780_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of eosinophils versus NK cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_EOSINOPHIL_VS_TH1_UP","SYSTEMATIC_NAME":"M5422","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1781_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of eosinophils versus Th1 cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_EOSINOPHIL_VS_TH1_DN","SYSTEMATIC_NAME":"M5423","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1781_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of eosinophils versus Th1 cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_EOSINOPHIL_VS_TH2_UP","SYSTEMATIC_NAME":"M5424","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1782_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of eosinophils versus Th2 cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_EOSINOPHIL_VS_TH2_DN","SYSTEMATIC_NAME":"M5425","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1782_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of eosinophils versus Th2 cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_MAST_CELL_VS_DC_UP","SYSTEMATIC_NAME":"M5426","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1783_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of mast cells versus dendritic cells (DC).","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_MAST_CELL_VS_DC_DN","SYSTEMATIC_NAME":"M5427","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1783_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of mast cells versus dendritic cells (DC).","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_MAST_CELL_VS_MAC_UP","SYSTEMATIC_NAME":"M5429","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1784_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of mast cells versus macrophages.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_MAST_CELL_VS_MAC_DN","SYSTEMATIC_NAME":"M5431","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1784_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of mast cells versus macrophages.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_MAST_CELL_VS_NEUTROPHIL_UP","SYSTEMATIC_NAME":"M5432","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1785_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of mast cells versus neutrophils.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_MAST_CELL_VS_NEUTROPHIL_DN","SYSTEMATIC_NAME":"M5433","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1785_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of mast cells versus neutrophils.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_MAST_CELL_VS_BCELL_UP","SYSTEMATIC_NAME":"M5434","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1786_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of mast cells versus B cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_MAST_CELL_VS_BCELL_DN","SYSTEMATIC_NAME":"M5437","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1786_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of mast cells versus B cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_MAST_CELL_VS_BASOPHIL_UP","SYSTEMATIC_NAME":"M5438","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1787_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of mast cells versus basophils.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_MAST_CELL_VS_BASOPHIL_DN","SYSTEMATIC_NAME":"M5439","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1787_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of mast cells versus basophils.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_MAST_CELL_VS_EFF_MEMORY_CD4_TCELL_UP","SYSTEMATIC_NAME":"M5441","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1788_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of mast cells versus effector memory CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_MAST_CELL_VS_EFF_MEMORY_CD4_TCELL_DN","SYSTEMATIC_NAME":"M5445","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1788_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of mast cells versus effector memory CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_MAST_CELL_VS_CENT_MEMORY_CD4_TCELL_UP","SYSTEMATIC_NAME":"M5446","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1789_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of mast cells versus central memory CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_MAST_CELL_VS_CENT_MEMORY_CD4_TCELL_DN","SYSTEMATIC_NAME":"M5448","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1789_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of mast cells versus central memory CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_MAST_CELL_VS_NKCELL_UP","SYSTEMATIC_NAME":"M5450","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1790_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of mast cells versus NK cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_MAST_CELL_VS_NKCELL_DN","SYSTEMATIC_NAME":"M5452","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1790_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of mast cells versus NK cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_MAST_CELL_VS_TH1_UP","SYSTEMATIC_NAME":"M5453","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1791_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of mast cells versus Th1 cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_MAST_CELL_VS_TH1_DN","SYSTEMATIC_NAME":"M5454","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1791_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of mast cells versus Th1 cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_MAST_CELL_VS_TH2_UP","SYSTEMATIC_NAME":"M5455","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1792_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of mast cells versus Th2 cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_MAST_CELL_VS_TH2_DN","SYSTEMATIC_NAME":"M5456","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1792_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of mast cells versus Th2 cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_DC_VS_MAC_UP","SYSTEMATIC_NAME":"M5458","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1793_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) versus macrophages.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_DC_VS_MAC_DN","SYSTEMATIC_NAME":"M5460","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1793_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) versus macrophages.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_DC_VS_NEUTROPHIL_UP","SYSTEMATIC_NAME":"M5461","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1794_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) versus neutrophils.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_DC_VS_NEUTROPHIL_DN","SYSTEMATIC_NAME":"M5462","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1794_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) versus neutrophils.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_DC_VS_BCELL_UP","SYSTEMATIC_NAME":"M5463","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1795_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) versus B cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_DC_VS_BCELL_DN","SYSTEMATIC_NAME":"M5470","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1795_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) versus B cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_DC_VS_BASOPHIL_UP","SYSTEMATIC_NAME":"M5472","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1796_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) versus basophils.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_DC_VS_BASOPHIL_DN","SYSTEMATIC_NAME":"M5473","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1796_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) versus basophils.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_DC_VS_EFF_MEMORY_CD4_TCELL_UP","SYSTEMATIC_NAME":"M5474","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1797_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) versus effector memory CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_DC_VS_EFF_MEMORY_CD4_TCELL_DN","SYSTEMATIC_NAME":"M5475","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1797_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) versus effector memory CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_DC_VS_CENT_MEMORY_CD4_TCELL_UP","SYSTEMATIC_NAME":"M5476","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1798_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) versus central memory CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_DC_VS_CENT_MEMORY_CD4_TCELL_DN","SYSTEMATIC_NAME":"M5477","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1798_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) versus central memory CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_DC_VS_NKCELL_UP","SYSTEMATIC_NAME":"M5478","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1799_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) versus NK cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_DC_VS_NKCELL_DN","SYSTEMATIC_NAME":"M5480","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1799_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) versus NK cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_DC_VS_TH1_UP","SYSTEMATIC_NAME":"M5481","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1800_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) versus Th1 cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_DC_VS_TH1_DN","SYSTEMATIC_NAME":"M5482","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1800_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) versus Th1 cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_DC_VS_TH2_UP","SYSTEMATIC_NAME":"M5484","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1801_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of dendritic cells (DC) versus Th2 cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_DC_VS_TH2_DN","SYSTEMATIC_NAME":"M5486","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1801_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of dendritic cells (DC) versus Th2 cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_MAC_VS_NEUTROPHIL_UP","SYSTEMATIC_NAME":"M5491","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1802_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of macrophages versus neutrophils.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_MAC_VS_NEUTROPHIL_DN","SYSTEMATIC_NAME":"M5492","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1802_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of macrophages versus neutrophils.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_MAC_VS_BCELL_UP","SYSTEMATIC_NAME":"M5494","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1803_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of macrophages versus B cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_MAC_VS_BCELL_DN","SYSTEMATIC_NAME":"M5495","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1803_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of macrophages versus B cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_MAC_VS_BASOPHIL_UP","SYSTEMATIC_NAME":"M5496","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1804_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of macrophages versus basophils.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_MAC_VS_BASOPHIL_DN","SYSTEMATIC_NAME":"M5498","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1804_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of macrophages versus basophils.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_MAC_VS_EFF_MEMORY_CD4_TCELL_UP","SYSTEMATIC_NAME":"M5503","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1805_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of macrophages versus effector memory CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_MAC_VS_EFF_MEMORY_CD4_TCELL_DN","SYSTEMATIC_NAME":"M5504","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1805_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of macrophages versus effector memory CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_MAC_VS_CENT_MEMORY_CD4_TCELL_UP","SYSTEMATIC_NAME":"M5506","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1806_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of macrophages versus central memory CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_MAC_VS_CENT_MEMORY_CD4_TCELL_DN","SYSTEMATIC_NAME":"M5507","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1806_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of macrophages versus central memory CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_MAC_VS_NKCELL_UP","SYSTEMATIC_NAME":"M5508","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1807_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of macrophages versus NK cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_MAC_VS_NKCELL_DN","SYSTEMATIC_NAME":"M5509","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1807_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of macrophages versus NK cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_MAC_VS_TH1_UP","SYSTEMATIC_NAME":"M5510","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1808_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of macrophages versus Th1 cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_MAC_VS_TH1_DN","SYSTEMATIC_NAME":"M5511","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1808_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of macrophages versus Th1 cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_MAC_VS_TH2_UP","SYSTEMATIC_NAME":"M5513","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1809_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of macrophages versus Th2 cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_MAC_VS_TH2_DN","SYSTEMATIC_NAME":"M5514","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1809_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of macrophages versus Th2 cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_NEUTROPHIL_VS_BCELL_UP","SYSTEMATIC_NAME":"M5515","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1810_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of neutrophils versus B cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_NEUTROPHIL_VS_BCELL_DN","SYSTEMATIC_NAME":"M5521","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1810_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of neutrophils versus B cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_NEUTROPHIL_VS_BASOPHIL_UP","SYSTEMATIC_NAME":"M5524","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1811_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of neutrophils versus basophils.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_NEUTROPHIL_VS_BASOPHIL_DN","SYSTEMATIC_NAME":"M5525","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1811_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of neutrophils versus basophils.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_NEUTROPHIL_VS_EFF_MEMORY_CD4_TCELL_UP","SYSTEMATIC_NAME":"M5526","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1812_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of neutrophils versus effector memory CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_NEUTROPHIL_VS_EFF_MEMORY_CD4_TCELL_DN","SYSTEMATIC_NAME":"M5527","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1812_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of neutrophils versus effector memory CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_NEUTROPHIL_VS_CENT_MEMORY_CD4_TCELL_UP","SYSTEMATIC_NAME":"M5528","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1813_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of neutrophils versus central memory CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_NEUTROPHIL_VS_CENT_MEMORY_CD4_TCELL_DN","SYSTEMATIC_NAME":"M5529","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1813_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of neutrophils versus central memory CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_NEUTROPHIL_VS_NKCELL_UP","SYSTEMATIC_NAME":"M5530","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1814_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of neutrophils versus NK cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_NEUTROPHIL_VS_NKCELL_DN","SYSTEMATIC_NAME":"M5531","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1814_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of neutrophils versus NK cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_NEUTROPHIL_VS_TH1_UP","SYSTEMATIC_NAME":"M5532","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1815_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of neutrophils versus Th1 cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_NEUTROPHIL_VS_TH1_DN","SYSTEMATIC_NAME":"M5533","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1815_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of neutrophils versus Th1 cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_NEUTROPHIL_VS_TH2_UP","SYSTEMATIC_NAME":"M5534","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1816_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of neutrophils versus Th2 cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_NEUTROPHIL_VS_TH2_DN","SYSTEMATIC_NAME":"M5535","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1816_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of neutrophils versus Th2 cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_BCELL_VS_BASOPHIL_UP","SYSTEMATIC_NAME":"M5538","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1817_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of B cells versus basophils.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_BCELL_VS_BASOPHIL_DN","SYSTEMATIC_NAME":"M5540","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1817_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of B cells versus basophils.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_BCELL_VS_EFF_MEMORY_CD4_TCELL_UP","SYSTEMATIC_NAME":"M5541","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1818_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of B cells versus effector memory CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_BCELL_VS_EFF_MEMORY_CD4_TCELL_DN","SYSTEMATIC_NAME":"M5543","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1818_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of B cells versus effector memory CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_BCELL_VS_CENT_MEMORY_CD4_TCELL_UP","SYSTEMATIC_NAME":"M5544","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1819_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of B cells versus central memory CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_BCELL_VS_CENT_MEMORY_CD4_TCELL_DN","SYSTEMATIC_NAME":"M5545","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1819_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of B cells versus central memory CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_BCELL_VS_NKCELL_UP","SYSTEMATIC_NAME":"M5546","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1820_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of B cells versus NK cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_BCELL_VS_NKCELL_DN","SYSTEMATIC_NAME":"M5548","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1820_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of B cells versus NK cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_BCELL_VS_TH1_UP","SYSTEMATIC_NAME":"M5551","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1821_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of B cells versus Th1 cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_BCELL_VS_TH1_DN","SYSTEMATIC_NAME":"M5553","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1821_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of B cells versus Th1 cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_BCELL_VS_TH2_UP","SYSTEMATIC_NAME":"M5554","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1822_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of B cells versus Th2 cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_BCELL_VS_TH2_DN","SYSTEMATIC_NAME":"M5555","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1822_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of B cells versus Th2 cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_BASOPHIL_VS_EFF_MEMORY_CD4_TCELL_UP","SYSTEMATIC_NAME":"M5556","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1823_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of basophils versus effector memory CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_BASOPHIL_VS_EFF_MEMORY_CD4_TCELL_DN","SYSTEMATIC_NAME":"M5557","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1823_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of basophils versus effector memory CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_BASOPHIL_VS_CENT_MEMORY_CD4_TCELL_UP","SYSTEMATIC_NAME":"M5559","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1824_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of basophils versus central memory CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_BASOPHIL_VS_CENT_MEMORY_CD4_TCELL_DN","SYSTEMATIC_NAME":"M5560","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1824_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of basophils versus central memory CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_BASOPHIL_VS_NKCELL_UP","SYSTEMATIC_NAME":"M5561","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1825_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of basophils versus NK cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_BASOPHIL_VS_NKCELL_DN","SYSTEMATIC_NAME":"M5563","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1825_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of basophils versus NK cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_BASOPHIL_VS_TH1_UP","SYSTEMATIC_NAME":"M5564","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1826_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of basophils versus Th1 cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_BASOPHIL_VS_TH1_DN","SYSTEMATIC_NAME":"M5565","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1826_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of basophils versus Th1 cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_BASOPHIL_VS_TH2_UP","SYSTEMATIC_NAME":"M5566","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1827_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of basophils versus Th2 cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_BASOPHIL_VS_TH2_DN","SYSTEMATIC_NAME":"M5567","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1827_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of basophils versus Th2 cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_EFF_MEMORY_VS_CENT_MEMORY_CD4_TCELL_UP","SYSTEMATIC_NAME":"M5569","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1828_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of effective memory CD4 [GeneID=920] T cells versus central memory CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_EFF_MEMORY_VS_CENT_MEMORY_CD4_TCELL_DN","SYSTEMATIC_NAME":"M5571","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1828_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of effective memory CD4 [GeneID=920] T cells versus central memory CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_EFF_MEMORY_CD4_TCELL_VS_NKCELL_UP","SYSTEMATIC_NAME":"M5573","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1829_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of effective memory CD4 [GeneID=920] T cells versus NK cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_EFF_MEMORY_CD4_TCELL_VS_NKCELL_DN","SYSTEMATIC_NAME":"M5575","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1829_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of effective memory CD4 [GeneID=920] T cells versus NK cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_EFF_MEMORY_CD4_TCELL_VS_TH1_UP","SYSTEMATIC_NAME":"M5577","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1830_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of effective memory CD4 [GeneID=920] T cells versus Th1 cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_EFF_MEMORY_CD4_TCELL_VS_TH1_DN","SYSTEMATIC_NAME":"M5579","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1830_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of effective memory CD4 [GeneID=920] T cells versus Th1 cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_EFF_MEMORY_CD4_TCELL_VS_TH2_UP","SYSTEMATIC_NAME":"M5580","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1831_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of effective memory CD4 [GeneID=920] T cells versus Th2 cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_EFF_MEMORY_CD4_TCELL_VS_TH2_DN","SYSTEMATIC_NAME":"M5582","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1831_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of effective memory CD4 [GeneID=920] T cells versus Th2 cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_CENT_MEMORY_CD4_TCELL_VS_NKCELL_UP","SYSTEMATIC_NAME":"M5584","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1832_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of central memory CD4 [GeneID=920] T cells versus NK cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_CENT_MEMORY_CD4_TCELL_VS_NKCELL_DN","SYSTEMATIC_NAME":"M5585","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1832_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of central memory CD4 [GeneID=920] T cells versus NK cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_CENT_MEMORY_CD4_TCELL_VS_TH1_UP","SYSTEMATIC_NAME":"M5586","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1833_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of central memory CD4 [GeneID=920] T cells versus Th1 cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_CENT_MEMORY_CD4_TCELL_VS_TH1_DN","SYSTEMATIC_NAME":"M5590","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1833_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of central memory CD4 [GeneID=920] T cells versus Th1 cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_CENT_MEMORY_CD4_TCELL_VS_TH2_UP","SYSTEMATIC_NAME":"M5591","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1834_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of central memory CD4 [GeneID=920] T cells versus Th2 cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_CENT_MEMORY_CD4_TCELL_VS_TH2_DN","SYSTEMATIC_NAME":"M5592","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1834_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of central memory CD4 [GeneID=920] T cells versus Th2 cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_NKCELL_VS_TH1_UP","SYSTEMATIC_NAME":"M5593","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1835_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of NK cells versus Th1 cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_NKCELL_VS_TH1_DN","SYSTEMATIC_NAME":"M5595","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1835_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of NK cells versus Th1 cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_NKCELL_VS_TH2_UP","SYSTEMATIC_NAME":"M5596","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1836_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of NK cells versus Th2 cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE3982_NKCELL_VS_TH2_DN","SYSTEMATIC_NAME":"M5598","ORGANISM":"Homo sapiens","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR.","GEOID":"GSE3982","EXACT_SOURCE":"GSE3982_1836_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of NK cells versus Th2 cells.","DESCRIPTION_FULL":"In the present study we used Affymetrix oligonucleotide microarrays to produce gene transcription profiles for the major leukocyte types in humans. This comprehensive dataset enabled us to not only establish which genes were expressed in each leukocyte type, but also which genes were expressed in each subset after activation. The used of a comprehensive dataset of gene profiles from all the major human leukocyte subsets enabled a novel and powerful means for identification of genes associated with single leukocyte subsets, or different immune paradigms."}
{"STANDARD_NAME":"GSE39820_CTRL_VS_IL1B_IL6_CD4_TCELL_UP","SYSTEMATIC_NAME":"M5599","ORGANISM":"Mus musculus","PMID":"22961052","AUTHORS":"Lee Y,Awasthi A,Yosef N,Quintana FJ,Xiao S,Peters A,Wu C,Kleinewietfeld M,Kunder S,Hafler DA,Sobel RA,Regev A,Kuchroo VK.","GEOID":"GSE39820","EXACT_SOURCE":"GSE39820_1555_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated CD4 [GeneID=920] T cells versus those treated with IL1B [GeneID=3553] and IL6 [GeneID=3569].","DESCRIPTION_FULL":"TGF-beta3 produced by developing Th17 cells induces highly pathogenic T cells that are functionally and molecularly distinct from TGF-beta1-induced Th17 cells. The microarray data represent a distinct molecular signature for pathogenic versus non-pathogenic Th17 cells."}
{"STANDARD_NAME":"GSE39820_CTRL_VS_IL1B_IL6_CD4_TCELL_DN","SYSTEMATIC_NAME":"M5600","ORGANISM":"Mus musculus","PMID":"22961052","AUTHORS":"Lee Y,Awasthi A,Yosef N,Quintana FJ,Xiao S,Peters A,Wu C,Kleinewietfeld M,Kunder S,Hafler DA,Sobel RA,Regev A,Kuchroo VK.","GEOID":"GSE39820","EXACT_SOURCE":"GSE39820_1555_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated CD4 [GeneID=920] T cells versus those treated with IL1B [GeneID=3553] and IL6 [GeneID=3569].","DESCRIPTION_FULL":"TGF-beta3 produced by developing Th17 cells induces highly pathogenic T cells that are functionally and molecularly distinct from TGF-beta1-induced Th17 cells. The microarray data represent a distinct molecular signature for pathogenic versus non-pathogenic Th17 cells."}
{"STANDARD_NAME":"GSE39820_CTRL_VS_IL1B_IL6_IL23A_CD4_TCELL_UP","SYSTEMATIC_NAME":"M5602","ORGANISM":"Mus musculus","PMID":"22961052","AUTHORS":"Lee Y,Awasthi A,Yosef N,Quintana FJ,Xiao S,Peters A,Wu C,Kleinewietfeld M,Kunder S,Hafler DA,Sobel RA,Regev A,Kuchroo VK.","GEOID":"GSE39820","EXACT_SOURCE":"GSE39820_1556_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated CD4 [GeneID=920] T cells versus those treated witl IL1B [GeneID=3553], IL6 [GeneID=3569] and IL23A [GeneID=51561].","DESCRIPTION_FULL":"TGF-beta3 produced by developing Th17 cells induces highly pathogenic T cells that are functionally and molecularly distinct from TGF-beta1-induced Th17 cells. The microarray data represent a distinct molecular signature for pathogenic versus non-pathogenic Th17 cells."}
{"STANDARD_NAME":"GSE39820_CTRL_VS_IL1B_IL6_IL23A_CD4_TCELL_DN","SYSTEMATIC_NAME":"M5603","ORGANISM":"Mus musculus","PMID":"22961052","AUTHORS":"Lee Y,Awasthi A,Yosef N,Quintana FJ,Xiao S,Peters A,Wu C,Kleinewietfeld M,Kunder S,Hafler DA,Sobel RA,Regev A,Kuchroo VK.","GEOID":"GSE39820","EXACT_SOURCE":"GSE39820_1556_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated CD4 [GeneID=920] T cells versus those treated with IL1B [GeneID=3553], IL6 [GeneID=3569] and IL23A [GeneID=51561].","DESCRIPTION_FULL":"TGF-beta3 produced by developing Th17 cells induces highly pathogenic T cells that are functionally and molecularly distinct from TGF-beta1-induced Th17 cells. The microarray data represent a distinct molecular signature for pathogenic versus non-pathogenic Th17 cells."}
{"STANDARD_NAME":"GSE39820_CTRL_VS_TGFBETA1_IL6_CD4_TCELL_UP","SYSTEMATIC_NAME":"M5604","ORGANISM":"Mus musculus","PMID":"22961052","AUTHORS":"Lee Y,Awasthi A,Yosef N,Quintana FJ,Xiao S,Peters A,Wu C,Kleinewietfeld M,Kunder S,Hafler DA,Sobel RA,Regev A,Kuchroo VK.","GEOID":"GSE39820","EXACT_SOURCE":"GSE39820_1557_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated CD4 [GeneID=920] T cells versus those treated with TGFB1 [GeneID=7040] and IL6 [GeneID=3569].","DESCRIPTION_FULL":"TGF-beta3 produced by developing Th17 cells induces highly pathogenic T cells that are functionally and molecularly distinct from TGF-beta1-induced Th17 cells. The microarray data represent a distinct molecular signature for pathogenic versus non-pathogenic Th17 cells."}
{"STANDARD_NAME":"GSE39820_CTRL_VS_TGFBETA1_IL6_CD4_TCELL_DN","SYSTEMATIC_NAME":"M5606","ORGANISM":"Mus musculus","PMID":"22961052","AUTHORS":"Lee Y,Awasthi A,Yosef N,Quintana FJ,Xiao S,Peters A,Wu C,Kleinewietfeld M,Kunder S,Hafler DA,Sobel RA,Regev A,Kuchroo VK.","GEOID":"GSE39820","EXACT_SOURCE":"GSE39820_1557_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated CD4 [GeneID=920] T cells versus those treated with TGFB1 [GeneID=7040] and IL6 [GeneID=3569].","DESCRIPTION_FULL":"TGF-beta3 produced by developing Th17 cells induces highly pathogenic T cells that are functionally and molecularly distinct from TGF-beta1-induced Th17 cells. The microarray data represent a distinct molecular signature for pathogenic versus non-pathogenic Th17 cells."}
{"STANDARD_NAME":"GSE39820_CTRL_VS_TGFBETA1_IL6_IL23A_CD4_TCELL_UP","SYSTEMATIC_NAME":"M5607","ORGANISM":"Mus musculus","PMID":"22961052","AUTHORS":"Lee Y,Awasthi A,Yosef N,Quintana FJ,Xiao S,Peters A,Wu C,Kleinewietfeld M,Kunder S,Hafler DA,Sobel RA,Regev A,Kuchroo VK.","GEOID":"GSE39820","EXACT_SOURCE":"GSE39820_1558_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated CD4 [GeneID=920] T cells versus those treated with TGFB1 [GeneID=7040], IL6 [GeneID=3569] and IL23A [GeneID=51561].","DESCRIPTION_FULL":"TGF-beta3 produced by developing Th17 cells induces highly pathogenic T cells that are functionally and molecularly distinct from TGF-beta1-induced Th17 cells. The microarray data represent a distinct molecular signature for pathogenic versus non-pathogenic Th17 cells."}
{"STANDARD_NAME":"GSE39820_CTRL_VS_TGFBETA1_IL6_IL23A_CD4_TCELL_DN","SYSTEMATIC_NAME":"M5609","ORGANISM":"Mus musculus","PMID":"22961052","AUTHORS":"Lee Y,Awasthi A,Yosef N,Quintana FJ,Xiao S,Peters A,Wu C,Kleinewietfeld M,Kunder S,Hafler DA,Sobel RA,Regev A,Kuchroo VK.","GEOID":"GSE39820","EXACT_SOURCE":"GSE39820_1558_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated CD4 [GeneID=920] T cells versus those treated with TGFB1 [GeneID=7040], IL6 [GeneID=3569] and IL23A [GeneID=51561].","DESCRIPTION_FULL":"TGF-beta3 produced by developing Th17 cells induces highly pathogenic T cells that are functionally and molecularly distinct from TGF-beta1-induced Th17 cells. The microarray data represent a distinct molecular signature for pathogenic versus non-pathogenic Th17 cells."}
{"STANDARD_NAME":"GSE39820_CTRL_VS_TGFBETA3_IL6_CD4_TCELL_UP","SYSTEMATIC_NAME":"M5610","ORGANISM":"Mus musculus","PMID":"22961052","AUTHORS":"Lee Y,Awasthi A,Yosef N,Quintana FJ,Xiao S,Peters A,Wu C,Kleinewietfeld M,Kunder S,Hafler DA,Sobel RA,Regev A,Kuchroo VK.","GEOID":"GSE39820","EXACT_SOURCE":"GSE39820_1559_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated CD4 [GeneID=920] T cells versus those treated with TGFB3 [GeneID=7043] IL6 [GeneID=3569].","DESCRIPTION_FULL":"TGF-beta3 produced by developing Th17 cells induces highly pathogenic T cells that are functionally and molecularly distinct from TGF-beta1-induced Th17 cells. The microarray data represent a distinct molecular signature for pathogenic versus non-pathogenic Th17 cells."}
{"STANDARD_NAME":"GSE39820_CTRL_VS_TGFBETA3_IL6_CD4_TCELL_DN","SYSTEMATIC_NAME":"M5612","ORGANISM":"Mus musculus","PMID":"22961052","AUTHORS":"Lee Y,Awasthi A,Yosef N,Quintana FJ,Xiao S,Peters A,Wu C,Kleinewietfeld M,Kunder S,Hafler DA,Sobel RA,Regev A,Kuchroo VK.","GEOID":"GSE39820","EXACT_SOURCE":"GSE39820_1559_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated CD4 [GeneID=920] T cells versus those treated with TGFB3 [GeneID=7043] IL6 [GeneID=3569].","DESCRIPTION_FULL":"TGF-beta3 produced by developing Th17 cells induces highly pathogenic T cells that are functionally and molecularly distinct from TGF-beta1-induced Th17 cells. The microarray data represent a distinct molecular signature for pathogenic versus non-pathogenic Th17 cells."}
{"STANDARD_NAME":"GSE39820_CTRL_VS_TGFBETA3_IL6_IL23A_CD4_TCELL_UP","SYSTEMATIC_NAME":"M5613","ORGANISM":"Mus musculus","PMID":"22961052","AUTHORS":"Lee Y,Awasthi A,Yosef N,Quintana FJ,Xiao S,Peters A,Wu C,Kleinewietfeld M,Kunder S,Hafler DA,Sobel RA,Regev A,Kuchroo VK.","GEOID":"GSE39820","EXACT_SOURCE":"GSE39820_1560_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated CD4 [GeneID=920] T cells versus those treated with TGFB3 [GeneID=7043], IL6 [GeneID=3569] and IL32A [GeneID=51561].","DESCRIPTION_FULL":"TGF-beta3 produced by developing Th17 cells induces highly pathogenic T cells that are functionally and molecularly distinct from TGF-beta1-induced Th17 cells. The microarray data represent a distinct molecular signature for pathogenic versus non-pathogenic Th17 cells."}
{"STANDARD_NAME":"GSE39820_CTRL_VS_TGFBETA3_IL6_IL23A_CD4_TCELL_DN","SYSTEMATIC_NAME":"M5614","ORGANISM":"Mus musculus","PMID":"22961052","AUTHORS":"Lee Y,Awasthi A,Yosef N,Quintana FJ,Xiao S,Peters A,Wu C,Kleinewietfeld M,Kunder S,Hafler DA,Sobel RA,Regev A,Kuchroo VK.","GEOID":"GSE39820","EXACT_SOURCE":"GSE39820_1560_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated CD4 [GeneID=920] T cells versus those treated with TGFB3 [GeneID=7043], IL6 [GeneID=3569] and IL32A [GeneID=51561].","DESCRIPTION_FULL":"TGF-beta3 produced by developing Th17 cells induces highly pathogenic T cells that are functionally and molecularly distinct from TGF-beta1-induced Th17 cells. The microarray data represent a distinct molecular signature for pathogenic versus non-pathogenic Th17 cells."}
{"STANDARD_NAME":"GSE39820_IL1B_IL6_VS_IL1B_IL6_IL23A_TREATED_CD4_TCELL_UP","SYSTEMATIC_NAME":"M5615","ORGANISM":"Mus musculus","PMID":"22961052","AUTHORS":"Lee Y,Awasthi A,Yosef N,Quintana FJ,Xiao S,Peters A,Wu C,Kleinewietfeld M,Kunder S,Hafler DA,Sobel RA,Regev A,Kuchroo VK.","GEOID":"GSE39820","EXACT_SOURCE":"GSE39820_1561_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated CD4 [GeneID=920] T cells treated with IL1B [GeneID=3553] and IL6 [GeneID=3569] versus those treated with IL1B [GeneID=3553], IL6 [GeneID=3569] and IL23A [GeneID=51561].","DESCRIPTION_FULL":"TGF-beta3 produced by developing Th17 cells induces highly pathogenic T cells that are functionally and molecularly distinct from TGF-beta1-induced Th17 cells. The microarray data represent a distinct molecular signature for pathogenic versus non-pathogenic Th17 cells."}
{"STANDARD_NAME":"GSE39820_IL1B_IL6_VS_IL1B_IL6_IL23A_TREATED_CD4_TCELL_DN","SYSTEMATIC_NAME":"M5616","ORGANISM":"Mus musculus","PMID":"22961052","AUTHORS":"Lee Y,Awasthi A,Yosef N,Quintana FJ,Xiao S,Peters A,Wu C,Kleinewietfeld M,Kunder S,Hafler DA,Sobel RA,Regev A,Kuchroo VK.","GEOID":"GSE39820","EXACT_SOURCE":"GSE39820_1561_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated CD4 [GeneID=920] T cells treated with IL1B [GeneID=3553] and IL6 [GeneID=3569] versus those treated with IL1B [GeneID=3553], IL6 [GeneID=3569] and IL23A [GeneID=51561].","DESCRIPTION_FULL":"TGF-beta3 produced by developing Th17 cells induces highly pathogenic T cells that are functionally and molecularly distinct from TGF-beta1-induced Th17 cells. The microarray data represent a distinct molecular signature for pathogenic versus non-pathogenic Th17 cells."}
{"STANDARD_NAME":"GSE39820_TGFBETA1_IL6_VS_TGFBETA1_IL6_IL23A_TREATED_CD4_TCELL_UP","SYSTEMATIC_NAME":"M5617","ORGANISM":"Mus musculus","PMID":"22961052","AUTHORS":"Lee Y,Awasthi A,Yosef N,Quintana FJ,Xiao S,Peters A,Wu C,Kleinewietfeld M,Kunder S,Hafler DA,Sobel RA,Regev A,Kuchroo VK.","GEOID":"GSE39820","EXACT_SOURCE":"GSE39820_1562_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD4 [GeneID=920] T cells treated with TGFB1 [GeneID=7040] and IL6 [GeneID=3569] versus those treated with TGFB1 [GeneID=7040], IL6 [GeneID=3569] and IL23A [GeneID=51561].","DESCRIPTION_FULL":"TGF-beta3 produced by developing Th17 cells induces highly pathogenic T cells that are functionally and molecularly distinct from TGF-beta1-induced Th17 cells. The microarray data represent a distinct molecular signature for pathogenic versus non-pathogenic Th17 cells."}
{"STANDARD_NAME":"GSE39820_TGFBETA1_IL6_VS_TGFBETA1_IL6_IL23A_TREATED_CD4_TCELL_DN","SYSTEMATIC_NAME":"M5619","ORGANISM":"Mus musculus","PMID":"22961052","AUTHORS":"Lee Y,Awasthi A,Yosef N,Quintana FJ,Xiao S,Peters A,Wu C,Kleinewietfeld M,Kunder S,Hafler DA,Sobel RA,Regev A,Kuchroo VK.","GEOID":"GSE39820","EXACT_SOURCE":"GSE39820_1562_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD4 [GeneID=920] T cells treated with TGFB1 [GeneID=7040] and IL6 [GeneID=3569] versus those treated with TGFB1 [GeneID=7040], IL6 [GeneID=3569] and IL23A [GeneID=51561].","DESCRIPTION_FULL":"TGF-beta3 produced by developing Th17 cells induces highly pathogenic T cells that are functionally and molecularly distinct from TGF-beta1-induced Th17 cells. The microarray data represent a distinct molecular signature for pathogenic versus non-pathogenic Th17 cells."}
{"STANDARD_NAME":"GSE39820_TGFBETA3_IL6_VS_TGFBETA3_IL6_IL23A_TREATED_CD4_TCELL_UP","SYSTEMATIC_NAME":"M5620","ORGANISM":"Mus musculus","PMID":"22961052","AUTHORS":"Lee Y,Awasthi A,Yosef N,Quintana FJ,Xiao S,Peters A,Wu C,Kleinewietfeld M,Kunder S,Hafler DA,Sobel RA,Regev A,Kuchroo VK.","GEOID":"GSE39820","EXACT_SOURCE":"GSE39820_1563_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD4 [GeneID=920] T cells treated with TGFB3 [GeneID=7043] and IL6 [GeneID=3569] versus those treated with TGF3B [GeneID=7043], IL6 [GeneID=3569] and IL23A [GeneID=51561].","DESCRIPTION_FULL":"TGF-beta3 produced by developing Th17 cells induces highly pathogenic T cells that are functionally and molecularly distinct from TGF-beta1-induced Th17 cells. The microarray data represent a distinct molecular signature for pathogenic versus non-pathogenic Th17 cells."}
{"STANDARD_NAME":"GSE39820_TGFBETA3_IL6_VS_TGFBETA3_IL6_IL23A_TREATED_CD4_TCELL_DN","SYSTEMATIC_NAME":"M5621","ORGANISM":"Mus musculus","PMID":"22961052","AUTHORS":"Lee Y,Awasthi A,Yosef N,Quintana FJ,Xiao S,Peters A,Wu C,Kleinewietfeld M,Kunder S,Hafler DA,Sobel RA,Regev A,Kuchroo VK.","GEOID":"GSE39820","EXACT_SOURCE":"GSE39820_1563_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD4 [GeneID=920] T cells treated with TGFB3 [GeneID=7043] and IL6 [GeneID=3569] versus those treated with TGF3B [GeneID=7043], IL6 [GeneID=3569] and IL23A [GeneID=51561].","DESCRIPTION_FULL":"TGF-beta3 produced by developing Th17 cells induces highly pathogenic T cells that are functionally and molecularly distinct from TGF-beta1-induced Th17 cells. The microarray data represent a distinct molecular signature for pathogenic versus non-pathogenic Th17 cells."}
{"STANDARD_NAME":"GSE39820_TGFBETA1_VS_TGFBETA3_IN_IL6_TREATED_CD4_TCELL_UP","SYSTEMATIC_NAME":"M5623","ORGANISM":"Mus musculus","PMID":"22961052","AUTHORS":"Lee Y,Awasthi A,Yosef N,Quintana FJ,Xiao S,Peters A,Wu C,Kleinewietfeld M,Kunder S,Hafler DA,Sobel RA,Regev A,Kuchroo VK.","GEOID":"GSE39820","EXACT_SOURCE":"GSE39820_1564_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD4 [GeneID=920] T cells treated with TGFB1 [GeneID=7040] versus those treated with TGFB3 [GeneID=7043] and IL6 [GeneID=3569].","DESCRIPTION_FULL":"TGF-beta3 produced by developing Th17 cells induces highly pathogenic T cells that are functionally and molecularly distinct from TGF-beta1-induced Th17 cells. The microarray data represent a distinct molecular signature for pathogenic versus non-pathogenic Th17 cells."}
{"STANDARD_NAME":"GSE39820_TGFBETA1_VS_TGFBETA3_IN_IL6_TREATED_CD4_TCELL_DN","SYSTEMATIC_NAME":"M5626","ORGANISM":"Mus musculus","PMID":"22961052","AUTHORS":"Lee Y,Awasthi A,Yosef N,Quintana FJ,Xiao S,Peters A,Wu C,Kleinewietfeld M,Kunder S,Hafler DA,Sobel RA,Regev A,Kuchroo VK.","GEOID":"GSE39820","EXACT_SOURCE":"GSE39820_1564_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD4 [GeneID=920] T cells treated with TGFB1 [GeneID=7040] versus those treated with TGFB3 [GeneID=7043] and IL6 [GeneID=3569].","DESCRIPTION_FULL":"TGF-beta3 produced by developing Th17 cells induces highly pathogenic T cells that are functionally and molecularly distinct from TGF-beta1-induced Th17 cells. The microarray data represent a distinct molecular signature for pathogenic versus non-pathogenic Th17 cells."}
{"STANDARD_NAME":"GSE39820_TGFBETA1_VS_TGFBETA3_IN_IL6_IL23A_TREATED_CD4_TCELL_UP","SYSTEMATIC_NAME":"M5627","ORGANISM":"Mus musculus","PMID":"22961052","AUTHORS":"Lee Y,Awasthi A,Yosef N,Quintana FJ,Xiao S,Peters A,Wu C,Kleinewietfeld M,Kunder S,Hafler DA,Sobel RA,Regev A,Kuchroo VK.","GEOID":"GSE39820","EXACT_SOURCE":"GSE39820_1565_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CD4 [GeneID=920] T cells treated with TGFB1 [GeneID=7040] versus those treated with TGFB3 [GeneID=7043] treated with IL6 [GeneID=3569] and IL23A [GeneID=51561].","DESCRIPTION_FULL":"TGF-beta3 produced by developing Th17 cells induces highly pathogenic T cells that are functionally and molecularly distinct from TGF-beta1-induced Th17 cells. The microarray data represent a distinct molecular signature for pathogenic versus non-pathogenic Th17 cells."}
{"STANDARD_NAME":"GSE39820_TGFBETA1_VS_TGFBETA3_IN_IL6_IL23A_TREATED_CD4_TCELL_DN","SYSTEMATIC_NAME":"M5629","ORGANISM":"Mus musculus","PMID":"22961052","AUTHORS":"Lee Y,Awasthi A,Yosef N,Quintana FJ,Xiao S,Peters A,Wu C,Kleinewietfeld M,Kunder S,Hafler DA,Sobel RA,Regev A,Kuchroo VK.","GEOID":"GSE39820","EXACT_SOURCE":"GSE39820_1565_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CD4 [GeneID=920] T cells treated with TGFB1 [GeneID=7040] versus those treated with TGFB3 [GeneID=7043] treated with IL6 [GeneID=3569] and IL23A [GeneID=51561].","DESCRIPTION_FULL":"TGF-beta3 produced by developing Th17 cells induces highly pathogenic T cells that are functionally and molecularly distinct from TGF-beta1-induced Th17 cells. The microarray data represent a distinct molecular signature for pathogenic versus non-pathogenic Th17 cells."}
{"STANDARD_NAME":"GSE5463_CTRL_VS_DEXAMETHASONE_TREATED_THYMOCYTE_UP","SYSTEMATIC_NAME":"M5630","ORGANISM":"Mus musculus","PMID":"16914556","AUTHORS":"Bianchini R,Nocentini G,Krausz LT,Fettucciari K,Coaccioli S,Ronchetti S,Riccardi C.","GEOID":"GSE5463","EXACT_SOURCE":"GSE5463_2129_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control thymocytes versus thymocytes treated with dexamethasone [PubChem=5743].","DESCRIPTION_FULL":"Glucocorticoids play a role in regulation of T lymphocytes homeostasis and development. In particular, glucocorticoid treatment induces massive apoptosis of CD4+CD8+ double positive (DP) thymocytes. This effect is due to many mechanisms, mainly driven by modulation of gene transcription. To find out which genes are modulated, we analyzed DP thymocytes treated for 3 hours with dexamethasone or medium alone, by global gene expression profiling using the Affymetrix technology (MGU74Av2 GeneChip). The data were analyzed with MAS 5.0 imposing a cut off of 1.7 fold in up regulation and 1.35 fold in down regulation. To further filter results we also used the statistical software, SAM (d 0.88 see figure 1s in supplementary data of the above cited manuscript). Results indicate modulation of 156 genes, also confirmed by either RNAse protection assay or Real Time PCR. For data mining we also used Go Miner to explore the Gene Ontology data bank (see tables 1-3 of the above cited manuscript). The overall results demonstrated that dexamethasone caused the down-regulation of genes promoting survival of DP thymocytes (e.g. Notch1, Socs1 and Id3) or the modulation of genes activating cell death through the ceramide pathway (Ugcg, Sgpp1, Degs1 and Gpr65) or through the mithocondrial machinery. Among the latter, there are Bcl-2 family members (Bim, Bfl-1, Bcl-xL and Bcl-xbeta), genes involved in the control of redox status (thioredoxin reductase, TXNIP and idh2) and genes belonging to Tis11 family which are involved in mRNA stability. Our study suggests that dexamethasone treatment of DP thymocytes modulates several genes belonging to apoptosis-related systems that can contribute to their apoptosis. "}
{"STANDARD_NAME":"GSE5463_CTRL_VS_DEXAMETHASONE_TREATED_THYMOCYTE_DN","SYSTEMATIC_NAME":"M5632","ORGANISM":"Mus musculus","PMID":"16914556","AUTHORS":"Bianchini R,Nocentini G,Krausz LT,Fettucciari K,Coaccioli S,Ronchetti S,Riccardi C.","GEOID":"GSE5463","EXACT_SOURCE":"GSE5463_2129_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control thymocytes versus thymocytes treated with dexamethasone [PubChem=5743].","DESCRIPTION_FULL":"Glucocorticoids play a role in regulation of T lymphocytes homeostasis and development. In particular, glucocorticoid treatment induces massive apoptosis of CD4+CD8+ double positive (DP) thymocytes. This effect is due to many mechanisms, mainly driven by modulation of gene transcription. To find out which genes are modulated, we analyzed DP thymocytes treated for 3 hours with dexamethasone or medium alone, by global gene expression profiling using the Affymetrix technology (MGU74Av2 GeneChip). The data were analyzed with MAS 5.0 imposing a cut off of 1.7 fold in up regulation and 1.35 fold in down regulation. To further filter results we also used the statistical software, SAM (d 0.88 see figure 1s in supplementary data of the above cited manuscript). Results indicate modulation of 156 genes, also confirmed by either RNAse protection assay or Real Time PCR. For data mining we also used Go Miner to explore the Gene Ontology data bank (see tables 1-3 of the above cited manuscript). The overall results demonstrated that dexamethasone caused the down-regulation of genes promoting survival of DP thymocytes (e.g. Notch1, Socs1 and Id3) or the modulation of genes activating cell death through the ceramide pathway (Ugcg, Sgpp1, Degs1 and Gpr65) or through the mithocondrial machinery. Among the latter, there are Bcl-2 family members (Bim, Bfl-1, Bcl-xL and Bcl-xbeta), genes involved in the control of redox status (thioredoxin reductase, TXNIP and idh2) and genes belonging to Tis11 family which are involved in mRNA stability. Our study suggests that dexamethasone treatment of DP thymocytes modulates several genes belonging to apoptosis-related systems that can contribute to their apoptosis. "}
{"STANDARD_NAME":"GSE5960_TH1_VS_ANERGIC_TH1_UP","SYSTEMATIC_NAME":"M5637","ORGANISM":"Mus musculus","PMID":"17028589","AUTHORS":"Zha Y,Marks R,Ho AW,Peterson AC,Janardhan S,Brown I,Praveen K,Stang S,Stone JC,Gajewski TF.","GEOID":"GSE5960","EXACT_SOURCE":"GSE5960_1852_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of anergy induced CD4 [GeneID=920] T cells versus conventional CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"compare gene expression profiles between normal and anergic T cells and identify upregulated genes in anergic T cells"}
{"STANDARD_NAME":"GSE5960_TH1_VS_ANERGIC_TH1_DN","SYSTEMATIC_NAME":"M5638","ORGANISM":"Mus musculus","PMID":"17028589","AUTHORS":"Zha Y,Marks R,Ho AW,Peterson AC,Janardhan S,Brown I,Praveen K,Stang S,Stone JC,Gajewski TF.","GEOID":"GSE5960","EXACT_SOURCE":"GSE5960_1852_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of anergy induced CD4 [GeneID=920] T cells versus conventional CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"compare gene expression profiles between normal and anergic T cells and identify upregulated genes in anergic T cells"}
{"STANDARD_NAME":"GSE6269_HEALTHY_VS_FLU_INF_PBMC_UP","SYSTEMATIC_NAME":"M5639","ORGANISM":"Homo sapiens","PMID":"17105821","AUTHORS":"Ramilo O,Allman W,Chung W,Mejias A,Ardura M,Glaser C,Wittkowski KM,Piqueras B,Banchereau J,Palucka AK,Chaussabel D.","GEOID":"GSE6269","EXACT_SOURCE":"GSE6269_1514_200_UP","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of peripheral blood mononuclear cells (PBMC) from healthy donors versus PBMC from patients with acute influenza infection.","DESCRIPTION_FULL":"Each infectious agent represents a unique combination of pathogen-associated molecular patterns that interact with specific pattern-recognition receptors expressed on immune cells. Therefore, we surmised that the blood immune cells of individuals with different infections might bear discriminative transcriptional signatures. Gene expression profiles were obtained for 131 peripheral blood samples from pediatric patients with acute infections caused by influenza A virus, Gram-negative (Escherichia coli) or Gram-positive (Staphylococcus aureus and Streptococcus pneumoniae) bacteria. Thirty-five genes were identified that best discriminate patients with influenza A virus infection from patients with either E coli or S pneumoniae infection. These genes classified with 95% accuracy (35 of 37 samples) an independent set of patients with either influenza A, E coli, or S pneumoniae infection. A different signature discriminated patients with E coli versus S aureus infections with 85% accuracy (34 of 40). Furthermore, distinctive gene expression patterns were observed in patients presenting with respiratory infections of different etiologies. Thus, microarray analyses of patient peripheral blood leukocytes might assist in the differential diagnosis of infectious diseases."}
{"STANDARD_NAME":"GSE6269_HEALTHY_VS_FLU_INF_PBMC_DN","SYSTEMATIC_NAME":"M5640","ORGANISM":"Homo sapiens","PMID":"17105821","AUTHORS":"Ramilo O,Allman W,Chung W,Mejias A,Ardura M,Glaser C,Wittkowski KM,Piqueras B,Banchereau J,Palucka AK,Chaussabel D.","GEOID":"GSE6269","EXACT_SOURCE":"GSE6269_1514_200_DN","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of peripheral blood mononuclear cells (PBMC) from healthy donors versus PBMC from patients with acute influenza infection.","DESCRIPTION_FULL":"Each infectious agent represents a unique combination of pathogen-associated molecular patterns that interact with specific pattern-recognition receptors expressed on immune cells. Therefore, we surmised that the blood immune cells of individuals with different infections might bear discriminative transcriptional signatures. Gene expression profiles were obtained for 131 peripheral blood samples from pediatric patients with acute infections caused by influenza A virus, Gram-negative (Escherichia coli) or Gram-positive (Staphylococcus aureus and Streptococcus pneumoniae) bacteria. Thirty-five genes were identified that best discriminate patients with influenza A virus infection from patients with either E coli or S pneumoniae infection. These genes classified with 95% accuracy (35 of 37 samples) an independent set of patients with either influenza A, E coli, or S pneumoniae infection. A different signature discriminated patients with E coli versus S aureus infections with 85% accuracy (34 of 40). Furthermore, distinctive gene expression patterns were observed in patients presenting with respiratory infections of different etiologies. Thus, microarray analyses of patient peripheral blood leukocytes might assist in the differential diagnosis of infectious diseases."}
{"STANDARD_NAME":"GSE6269_HEALTHY_VS_E_COLI_INF_PBMC_UP","SYSTEMATIC_NAME":"M5641","ORGANISM":"Homo sapiens","PMID":"17105821","AUTHORS":"Ramilo O,Allman W,Chung W,Mejias A,Ardura M,Glaser C,Wittkowski KM,Piqueras B,Banchereau J,Palucka AK,Chaussabel D.","GEOID":"GSE6269","EXACT_SOURCE":"GSE6269_1515_200_UP","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of peripheral blood mononuclear cells (PBMC) from healthy donors versus PBMC from patients with acute E. coli infection.","DESCRIPTION_FULL":"Each infectious agent represents a unique combination of pathogen-associated molecular patterns that interact with specific pattern-recognition receptors expressed on immune cells. Therefore, we surmised that the blood immune cells of individuals with different infections might bear discriminative transcriptional signatures. Gene expression profiles were obtained for 131 peripheral blood samples from pediatric patients with acute infections caused by influenza A virus, Gram-negative (Escherichia coli) or Gram-positive (Staphylococcus aureus and Streptococcus pneumoniae) bacteria. Thirty-five genes were identified that best discriminate patients with influenza A virus infection from patients with either E coli or S pneumoniae infection. These genes classified with 95% accuracy (35 of 37 samples) an independent set of patients with either influenza A, E coli, or S pneumoniae infection. A different signature discriminated patients with E coli versus S aureus infections with 85% accuracy (34 of 40). Furthermore, distinctive gene expression patterns were observed in patients presenting with respiratory infections of different etiologies. Thus, microarray analyses of patient peripheral blood leukocytes might assist in the differential diagnosis of infectious diseases."}
{"STANDARD_NAME":"GSE6269_HEALTHY_VS_E_COLI_INF_PBMC_DN","SYSTEMATIC_NAME":"M5642","ORGANISM":"Homo sapiens","PMID":"17105821","AUTHORS":"Ramilo O,Allman W,Chung W,Mejias A,Ardura M,Glaser C,Wittkowski KM,Piqueras B,Banchereau J,Palucka AK,Chaussabel D.","GEOID":"GSE6269","EXACT_SOURCE":"GSE6269_1515_200_DN","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of peripheral blood mononuclear cells (PBMC) from healthy donors versus PBMC from patients with acute E. coli infection.","DESCRIPTION_FULL":"Each infectious agent represents a unique combination of pathogen-associated molecular patterns that interact with specific pattern-recognition receptors expressed on immune cells. Therefore, we surmised that the blood immune cells of individuals with different infections might bear discriminative transcriptional signatures. Gene expression profiles were obtained for 131 peripheral blood samples from pediatric patients with acute infections caused by influenza A virus, Gram-negative (Escherichia coli) or Gram-positive (Staphylococcus aureus and Streptococcus pneumoniae) bacteria. Thirty-five genes were identified that best discriminate patients with influenza A virus infection from patients with either E coli or S pneumoniae infection. These genes classified with 95% accuracy (35 of 37 samples) an independent set of patients with either influenza A, E coli, or S pneumoniae infection. A different signature discriminated patients with E coli versus S aureus infections with 85% accuracy (34 of 40). Furthermore, distinctive gene expression patterns were observed in patients presenting with respiratory infections of different etiologies. Thus, microarray analyses of patient peripheral blood leukocytes might assist in the differential diagnosis of infectious diseases."}
{"STANDARD_NAME":"GSE6269_FLU_VS_STAPH_AUREUS_INF_PBMC_UP","SYSTEMATIC_NAME":"M5643","ORGANISM":"Homo sapiens","PMID":"17105821","AUTHORS":"Ramilo O,Allman W,Chung W,Mejias A,Ardura M,Glaser C,Wittkowski KM,Piqueras B,Banchereau J,Palucka AK,Chaussabel D.","GEOID":"GSE6269","EXACT_SOURCE":"GSE6269_1516_200_UP","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of peripheral blood mononuclear cells (PBMC) from healthy donors versus PBMC from patients with acute S. aureus infection.","DESCRIPTION_FULL":"Each infectious agent represents a unique combination of pathogen-associated molecular patterns that interact with specific pattern-recognition receptors expressed on immune cells. Therefore, we surmised that the blood immune cells of individuals with different infections might bear discriminative transcriptional signatures. Gene expression profiles were obtained for 131 peripheral blood samples from pediatric patients with acute infections caused by influenza A virus, Gram-negative (Escherichia coli) or Gram-positive (Staphylococcus aureus and Streptococcus pneumoniae) bacteria. Thirty-five genes were identified that best discriminate patients with influenza A virus infection from patients with either E coli or S pneumoniae infection. These genes classified with 95% accuracy (35 of 37 samples) an independent set of patients with either influenza A, E coli, or S pneumoniae infection. A different signature discriminated patients with E coli versus S aureus infections with 85% accuracy (34 of 40). Furthermore, distinctive gene expression patterns were observed in patients presenting with respiratory infections of different etiologies. Thus, microarray analyses of patient peripheral blood leukocytes might assist in the differential diagnosis of infectious diseases."}
{"STANDARD_NAME":"GSE6269_FLU_VS_STAPH_AUREUS_INF_PBMC_DN","SYSTEMATIC_NAME":"M5644","ORGANISM":"Homo sapiens","PMID":"17105821","AUTHORS":"Ramilo O,Allman W,Chung W,Mejias A,Ardura M,Glaser C,Wittkowski KM,Piqueras B,Banchereau J,Palucka AK,Chaussabel D.","GEOID":"GSE6269","EXACT_SOURCE":"GSE6269_1516_200_DN","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of peripheral blood mononuclear cells (PBMC) from healthy donors versus PBMC from patients with acute S. aureus infection.","DESCRIPTION_FULL":"Each infectious agent represents a unique combination of pathogen-associated molecular patterns that interact with specific pattern-recognition receptors expressed on immune cells. Therefore, we surmised that the blood immune cells of individuals with different infections might bear discriminative transcriptional signatures. Gene expression profiles were obtained for 131 peripheral blood samples from pediatric patients with acute infections caused by influenza A virus, Gram-negative (Escherichia coli) or Gram-positive (Staphylococcus aureus and Streptococcus pneumoniae) bacteria. Thirty-five genes were identified that best discriminate patients with influenza A virus infection from patients with either E coli or S pneumoniae infection. These genes classified with 95% accuracy (35 of 37 samples) an independent set of patients with either influenza A, E coli, or S pneumoniae infection. A different signature discriminated patients with E coli versus S aureus infections with 85% accuracy (34 of 40). Furthermore, distinctive gene expression patterns were observed in patients presenting with respiratory infections of different etiologies. Thus, microarray analyses of patient peripheral blood leukocytes might assist in the differential diagnosis of infectious diseases."}
{"STANDARD_NAME":"GSE6269_HEALTHY_VS_STAPH_PNEUMO_INF_PBMC_UP","SYSTEMATIC_NAME":"M5648","ORGANISM":"Homo sapiens","PMID":"17105821","AUTHORS":"Ramilo O,Allman W,Chung W,Mejias A,Ardura M,Glaser C,Wittkowski KM,Piqueras B,Banchereau J,Palucka AK,Chaussabel D.","GEOID":"GSE6269","EXACT_SOURCE":"GSE6269_1517_200_UP","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of peripheral blood mononuclear cells (PBMC) from healthy donors versus PBMC from patients with acute S. pneumoniae infection.","DESCRIPTION_FULL":"Each infectious agent represents a unique combination of pathogen-associated molecular patterns that interact with specific pattern-recognition receptors expressed on immune cells. Therefore, we surmised that the blood immune cells of individuals with different infections might bear discriminative transcriptional signatures. Gene expression profiles were obtained for 131 peripheral blood samples from pediatric patients with acute infections caused by influenza A virus, Gram-negative (Escherichia coli) or Gram-positive (Staphylococcus aureus and Streptococcus pneumoniae) bacteria. Thirty-five genes were identified that best discriminate patients with influenza A virus infection from patients with either E coli or S pneumoniae infection. These genes classified with 95% accuracy (35 of 37 samples) an independent set of patients with either influenza A, E coli, or S pneumoniae infection. A different signature discriminated patients with E coli versus S aureus infections with 85% accuracy (34 of 40). Furthermore, distinctive gene expression patterns were observed in patients presenting with respiratory infections of different etiologies. Thus, microarray analyses of patient peripheral blood leukocytes might assist in the differential diagnosis of infectious diseases."}
{"STANDARD_NAME":"GSE6269_HEALTHY_VS_STAPH_PNEUMO_INF_PBMC_DN","SYSTEMATIC_NAME":"M5649","ORGANISM":"Homo sapiens","PMID":"17105821","AUTHORS":"Ramilo O,Allman W,Chung W,Mejias A,Ardura M,Glaser C,Wittkowski KM,Piqueras B,Banchereau J,Palucka AK,Chaussabel D.","GEOID":"GSE6269","EXACT_SOURCE":"GSE6269_1517_200_DN","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of peripheral blood mononuclear cells (PBMC) from healthy donors versus PBMC from patients with acute S. pneumoniae infection.","DESCRIPTION_FULL":"Each infectious agent represents a unique combination of pathogen-associated molecular patterns that interact with specific pattern-recognition receptors expressed on immune cells. Therefore, we surmised that the blood immune cells of individuals with different infections might bear discriminative transcriptional signatures. Gene expression profiles were obtained for 131 peripheral blood samples from pediatric patients with acute infections caused by influenza A virus, Gram-negative (Escherichia coli) or Gram-positive (Staphylococcus aureus and Streptococcus pneumoniae) bacteria. Thirty-five genes were identified that best discriminate patients with influenza A virus infection from patients with either E coli or S pneumoniae infection. These genes classified with 95% accuracy (35 of 37 samples) an independent set of patients with either influenza A, E coli, or S pneumoniae infection. A different signature discriminated patients with E coli versus S aureus infections with 85% accuracy (34 of 40). Furthermore, distinctive gene expression patterns were observed in patients presenting with respiratory infections of different etiologies. Thus, microarray analyses of patient peripheral blood leukocytes might assist in the differential diagnosis of infectious diseases."}
{"STANDARD_NAME":"GSE6269_FLU_VS_E_COLI_INF_PBMC_UP","SYSTEMATIC_NAME":"M5653","ORGANISM":"Homo sapiens","PMID":"17105821","AUTHORS":"Ramilo O,Allman W,Chung W,Mejias A,Ardura M,Glaser C,Wittkowski KM,Piqueras B,Banchereau J,Palucka AK,Chaussabel D.","GEOID":"GSE6269","EXACT_SOURCE":"GSE6269_1518_200_UP","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of peripheral blood mononuclear cells (PBMC) from patients with acute influenza infection versus PBMC from patients with acute E. coli infection.","DESCRIPTION_FULL":"Each infectious agent represents a unique combination of pathogen-associated molecular patterns that interact with specific pattern-recognition receptors expressed on immune cells. Therefore, we surmised that the blood immune cells of individuals with different infections might bear discriminative transcriptional signatures. Gene expression profiles were obtained for 131 peripheral blood samples from pediatric patients with acute infections caused by influenza A virus, Gram-negative (Escherichia coli) or Gram-positive (Staphylococcus aureus and Streptococcus pneumoniae) bacteria. Thirty-five genes were identified that best discriminate patients with influenza A virus infection from patients with either E coli or S pneumoniae infection. These genes classified with 95% accuracy (35 of 37 samples) an independent set of patients with either influenza A, E coli, or S pneumoniae infection. A different signature discriminated patients with E coli versus S aureus infections with 85% accuracy (34 of 40). Furthermore, distinctive gene expression patterns were observed in patients presenting with respiratory infections of different etiologies. Thus, microarray analyses of patient peripheral blood leukocytes might assist in the differential diagnosis of infectious diseases."}
{"STANDARD_NAME":"GSE6269_FLU_VS_E_COLI_INF_PBMC_DN","SYSTEMATIC_NAME":"M5654","ORGANISM":"Homo sapiens","PMID":"17105821","AUTHORS":"Ramilo O,Allman W,Chung W,Mejias A,Ardura M,Glaser C,Wittkowski KM,Piqueras B,Banchereau J,Palucka AK,Chaussabel D.","GEOID":"GSE6269","EXACT_SOURCE":"GSE6269_1518_200_DN","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of peripheral blood mononuclear cells (PBMC) from patients with acute influenza infection versus PBMC from patients with acute E. coli infection.","DESCRIPTION_FULL":"Each infectious agent represents a unique combination of pathogen-associated molecular patterns that interact with specific pattern-recognition receptors expressed on immune cells. Therefore, we surmised that the blood immune cells of individuals with different infections might bear discriminative transcriptional signatures. Gene expression profiles were obtained for 131 peripheral blood samples from pediatric patients with acute infections caused by influenza A virus, Gram-negative (Escherichia coli) or Gram-positive (Staphylococcus aureus and Streptococcus pneumoniae) bacteria. Thirty-five genes were identified that best discriminate patients with influenza A virus infection from patients with either E coli or S pneumoniae infection. These genes classified with 95% accuracy (35 of 37 samples) an independent set of patients with either influenza A, E coli, or S pneumoniae infection. A different signature discriminated patients with E coli versus S aureus infections with 85% accuracy (34 of 40). Furthermore, distinctive gene expression patterns were observed in patients presenting with respiratory infections of different etiologies. Thus, microarray analyses of patient peripheral blood leukocytes might assist in the differential diagnosis of infectious diseases."}
{"STANDARD_NAME":"GSE6269_HEALTHY_VS_STAPH_AUREUS_INF_PBMC_UP","SYSTEMATIC_NAME":"M5655","ORGANISM":"Homo sapiens","PMID":"17105821","AUTHORS":"Ramilo O,Allman W,Chung W,Mejias A,Ardura M,Glaser C,Wittkowski KM,Piqueras B,Banchereau J,Palucka AK,Chaussabel D.","GEOID":"GSE6269","EXACT_SOURCE":"GSE6269_1519_200_UP","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of peripheral blood mononuclear cells (PBMC) from patients with acute influenza infection versus PBMC from patients with acute S. aureus infection.","DESCRIPTION_FULL":"Each infectious agent represents a unique combination of pathogen-associated molecular patterns that interact with specific pattern-recognition receptors expressed on immune cells. Therefore, we surmised that the blood immune cells of individuals with different infections might bear discriminative transcriptional signatures. Gene expression profiles were obtained for 131 peripheral blood samples from pediatric patients with acute infections caused by influenza A virus, Gram-negative (Escherichia coli) or Gram-positive (Staphylococcus aureus and Streptococcus pneumoniae) bacteria. Thirty-five genes were identified that best discriminate patients with influenza A virus infection from patients with either E coli or S pneumoniae infection. These genes classified with 95% accuracy (35 of 37 samples) an independent set of patients with either influenza A, E coli, or S pneumoniae infection. A different signature discriminated patients with E coli versus S aureus infections with 85% accuracy (34 of 40). Furthermore, distinctive gene expression patterns were observed in patients presenting with respiratory infections of different etiologies. Thus, microarray analyses of patient peripheral blood leukocytes might assist in the differential diagnosis of infectious diseases."}
{"STANDARD_NAME":"GSE6269_HEALTHY_VS_STAPH_AUREUS_INF_PBMC_DN","SYSTEMATIC_NAME":"M5656","ORGANISM":"Homo sapiens","PMID":"17105821","AUTHORS":"Ramilo O,Allman W,Chung W,Mejias A,Ardura M,Glaser C,Wittkowski KM,Piqueras B,Banchereau J,Palucka AK,Chaussabel D.","GEOID":"GSE6269","EXACT_SOURCE":"GSE6269_1519_200_DN","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of peripheral blood mononuclear cells (PBMC) from patients with acute influenza infection versus PBMC from patients with acute S. aureus infection.","DESCRIPTION_FULL":"Each infectious agent represents a unique combination of pathogen-associated molecular patterns that interact with specific pattern-recognition receptors expressed on immune cells. Therefore, we surmised that the blood immune cells of individuals with different infections might bear discriminative transcriptional signatures. Gene expression profiles were obtained for 131 peripheral blood samples from pediatric patients with acute infections caused by influenza A virus, Gram-negative (Escherichia coli) or Gram-positive (Staphylococcus aureus and Streptococcus pneumoniae) bacteria. Thirty-five genes were identified that best discriminate patients with influenza A virus infection from patients with either E coli or S pneumoniae infection. These genes classified with 95% accuracy (35 of 37 samples) an independent set of patients with either influenza A, E coli, or S pneumoniae infection. A different signature discriminated patients with E coli versus S aureus infections with 85% accuracy (34 of 40). Furthermore, distinctive gene expression patterns were observed in patients presenting with respiratory infections of different etiologies. Thus, microarray analyses of patient peripheral blood leukocytes might assist in the differential diagnosis of infectious diseases."}
{"STANDARD_NAME":"GSE6269_FLU_VS_STREP_PNEUMO_INF_PBMC_UP","SYSTEMATIC_NAME":"M5657","ORGANISM":"Homo sapiens","PMID":"17105821","AUTHORS":"Ramilo O,Allman W,Chung W,Mejias A,Ardura M,Glaser C,Wittkowski KM,Piqueras B,Banchereau J,Palucka AK,Chaussabel D.","GEOID":"GSE6269","EXACT_SOURCE":"GSE6269_1520_200_UP","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of peripheral blood mononuclear cells (PBMC) from patients with acute influenza infection versus PBMC from patients with acute S. pneumoniae infection.","DESCRIPTION_FULL":"Each infectious agent represents a unique combination of pathogen-associated molecular patterns that interact with specific pattern-recognition receptors expressed on immune cells. Therefore, we surmised that the blood immune cells of individuals with different infections might bear discriminative transcriptional signatures. Gene expression profiles were obtained for 131 peripheral blood samples from pediatric patients with acute infections caused by influenza A virus, Gram-negative (Escherichia coli) or Gram-positive (Staphylococcus aureus and Streptococcus pneumoniae) bacteria. Thirty-five genes were identified that best discriminate patients with influenza A virus infection from patients with either E coli or S pneumoniae infection. These genes classified with 95% accuracy (35 of 37 samples) an independent set of patients with either influenza A, E coli, or S pneumoniae infection. A different signature discriminated patients with E coli versus S aureus infections with 85% accuracy (34 of 40). Furthermore, distinctive gene expression patterns were observed in patients presenting with respiratory infections of different etiologies. Thus, microarray analyses of patient peripheral blood leukocytes might assist in the differential diagnosis of infectious diseases."}
{"STANDARD_NAME":"GSE6269_FLU_VS_STREP_PNEUMO_INF_PBMC_DN","SYSTEMATIC_NAME":"M5658","ORGANISM":"Homo sapiens","PMID":"17105821","AUTHORS":"Ramilo O,Allman W,Chung W,Mejias A,Ardura M,Glaser C,Wittkowski KM,Piqueras B,Banchereau J,Palucka AK,Chaussabel D.","GEOID":"GSE6269","EXACT_SOURCE":"GSE6269_1520_200_DN","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of peripheral blood mononuclear cells (PBMC) from patients with acute influenza infection versus PBMC from patients with acute S. pneumoniae infection.","DESCRIPTION_FULL":"Each infectious agent represents a unique combination of pathogen-associated molecular patterns that interact with specific pattern-recognition receptors expressed on immune cells. Therefore, we surmised that the blood immune cells of individuals with different infections might bear discriminative transcriptional signatures. Gene expression profiles were obtained for 131 peripheral blood samples from pediatric patients with acute infections caused by influenza A virus, Gram-negative (Escherichia coli) or Gram-positive (Staphylococcus aureus and Streptococcus pneumoniae) bacteria. Thirty-five genes were identified that best discriminate patients with influenza A virus infection from patients with either E coli or S pneumoniae infection. These genes classified with 95% accuracy (35 of 37 samples) an independent set of patients with either influenza A, E coli, or S pneumoniae infection. A different signature discriminated patients with E coli versus S aureus infections with 85% accuracy (34 of 40). Furthermore, distinctive gene expression patterns were observed in patients presenting with respiratory infections of different etiologies. Thus, microarray analyses of patient peripheral blood leukocytes might assist in the differential diagnosis of infectious diseases."}
{"STANDARD_NAME":"GSE6269_E_COLI_VS_STAPH_AUREUS_INF_PBMC_UP","SYSTEMATIC_NAME":"M5659","ORGANISM":"Homo sapiens","PMID":"17105821","AUTHORS":"Ramilo O,Allman W,Chung W,Mejias A,Ardura M,Glaser C,Wittkowski KM,Piqueras B,Banchereau J,Palucka AK,Chaussabel D.","GEOID":"GSE6269","EXACT_SOURCE":"GSE6269_1521_200_UP","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of peripheral blood mononuclear cells (PBMC) from patients with acute E. coli infection versus PBMC from patients with acute S. aureus infection.","DESCRIPTION_FULL":"Each infectious agent represents a unique combination of pathogen-associated molecular patterns that interact with specific pattern-recognition receptors expressed on immune cells. Therefore, we surmised that the blood immune cells of individuals with different infections might bear discriminative transcriptional signatures. Gene expression profiles were obtained for 131 peripheral blood samples from pediatric patients with acute infections caused by influenza A virus, Gram-negative (Escherichia coli) or Gram-positive (Staphylococcus aureus and Streptococcus pneumoniae) bacteria. Thirty-five genes were identified that best discriminate patients with influenza A virus infection from patients with either E coli or S pneumoniae infection. These genes classified with 95% accuracy (35 of 37 samples) an independent set of patients with either influenza A, E coli, or S pneumoniae infection. A different signature discriminated patients with E coli versus S aureus infections with 85% accuracy (34 of 40). Furthermore, distinctive gene expression patterns were observed in patients presenting with respiratory infections of different etiologies. Thus, microarray analyses of patient peripheral blood leukocytes might assist in the differential diagnosis of infectious diseases."}
{"STANDARD_NAME":"GSE6269_E_COLI_VS_STAPH_AUREUS_INF_PBMC_DN","SYSTEMATIC_NAME":"M5660","ORGANISM":"Homo sapiens","PMID":"17105821","AUTHORS":"Ramilo O,Allman W,Chung W,Mejias A,Ardura M,Glaser C,Wittkowski KM,Piqueras B,Banchereau J,Palucka AK,Chaussabel D.","GEOID":"GSE6269","EXACT_SOURCE":"GSE6269_1521_200_DN","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of peripheral blood mononuclear cells (PBMC) from patients with acute E. coli infection versus PBMC from patients with acute S. aureus infection.","DESCRIPTION_FULL":"Each infectious agent represents a unique combination of pathogen-associated molecular patterns that interact with specific pattern-recognition receptors expressed on immune cells. Therefore, we surmised that the blood immune cells of individuals with different infections might bear discriminative transcriptional signatures. Gene expression profiles were obtained for 131 peripheral blood samples from pediatric patients with acute infections caused by influenza A virus, Gram-negative (Escherichia coli) or Gram-positive (Staphylococcus aureus and Streptococcus pneumoniae) bacteria. Thirty-five genes were identified that best discriminate patients with influenza A virus infection from patients with either E coli or S pneumoniae infection. These genes classified with 95% accuracy (35 of 37 samples) an independent set of patients with either influenza A, E coli, or S pneumoniae infection. A different signature discriminated patients with E coli versus S aureus infections with 85% accuracy (34 of 40). Furthermore, distinctive gene expression patterns were observed in patients presenting with respiratory infections of different etiologies. Thus, microarray analyses of patient peripheral blood leukocytes might assist in the differential diagnosis of infectious diseases."}
{"STANDARD_NAME":"GSE6269_E_COLI_VS_STREP_PNEUMO_INF_PBMC_UP","SYSTEMATIC_NAME":"M5661","ORGANISM":"Homo sapiens","PMID":"17105821","AUTHORS":"Ramilo O,Allman W,Chung W,Mejias A,Ardura M,Glaser C,Wittkowski KM,Piqueras B,Banchereau J,Palucka AK,Chaussabel D.","GEOID":"GSE6269","EXACT_SOURCE":"GSE6269_1522_200_UP","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of peripheral blood mononuclear cells (PBMC) from patients with acute E. coli infection versus PBMC from patients with acute S. pneumoniae infection.","DESCRIPTION_FULL":"Each infectious agent represents a unique combination of pathogen-associated molecular patterns that interact with specific pattern-recognition receptors expressed on immune cells. Therefore, we surmised that the blood immune cells of individuals with different infections might bear discriminative transcriptional signatures. Gene expression profiles were obtained for 131 peripheral blood samples from pediatric patients with acute infections caused by influenza A virus, Gram-negative (Escherichia coli) or Gram-positive (Staphylococcus aureus and Streptococcus pneumoniae) bacteria. Thirty-five genes were identified that best discriminate patients with influenza A virus infection from patients with either E coli or S pneumoniae infection. These genes classified with 95% accuracy (35 of 37 samples) an independent set of patients with either influenza A, E coli, or S pneumoniae infection. A different signature discriminated patients with E coli versus S aureus infections with 85% accuracy (34 of 40). Furthermore, distinctive gene expression patterns were observed in patients presenting with respiratory infections of different etiologies. Thus, microarray analyses of patient peripheral blood leukocytes might assist in the differential diagnosis of infectious diseases."}
{"STANDARD_NAME":"GSE6269_E_COLI_VS_STREP_PNEUMO_INF_PBMC_DN","SYSTEMATIC_NAME":"M5662","ORGANISM":"Homo sapiens","PMID":"17105821","AUTHORS":"Ramilo O,Allman W,Chung W,Mejias A,Ardura M,Glaser C,Wittkowski KM,Piqueras B,Banchereau J,Palucka AK,Chaussabel D.","GEOID":"GSE6269","EXACT_SOURCE":"GSE6269_1522_200_DN","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of peripheral blood mononuclear cells (PBMC) from patients with acute E. coli infection versus PBMC from patients with acute S. pneumoniae infection.","DESCRIPTION_FULL":"Each infectious agent represents a unique combination of pathogen-associated molecular patterns that interact with specific pattern-recognition receptors expressed on immune cells. Therefore, we surmised that the blood immune cells of individuals with different infections might bear discriminative transcriptional signatures. Gene expression profiles were obtained for 131 peripheral blood samples from pediatric patients with acute infections caused by influenza A virus, Gram-negative (Escherichia coli) or Gram-positive (Staphylococcus aureus and Streptococcus pneumoniae) bacteria. Thirty-five genes were identified that best discriminate patients with influenza A virus infection from patients with either E coli or S pneumoniae infection. These genes classified with 95% accuracy (35 of 37 samples) an independent set of patients with either influenza A, E coli, or S pneumoniae infection. A different signature discriminated patients with E coli versus S aureus infections with 85% accuracy (34 of 40). Furthermore, distinctive gene expression patterns were observed in patients presenting with respiratory infections of different etiologies. Thus, microarray analyses of patient peripheral blood leukocytes might assist in the differential diagnosis of infectious diseases."}
{"STANDARD_NAME":"GSE6269_STAPH_AUREUS_VS_STREP_PNEUMO_INF_PBMC_UP","SYSTEMATIC_NAME":"M5663","ORGANISM":"Homo sapiens","PMID":"17105821","AUTHORS":"Ramilo O,Allman W,Chung W,Mejias A,Ardura M,Glaser C,Wittkowski KM,Piqueras B,Banchereau J,Palucka AK,Chaussabel D.","GEOID":"GSE6269","EXACT_SOURCE":"GSE6269_1523_200_UP","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of peripheral blood mononuclear cells (PBMC) from patients with acute infection: S. aureus versus S. pneumoniae.","DESCRIPTION_FULL":"Each infectious agent represents a unique combination of pathogen-associated molecular patterns that interact with specific pattern-recognition receptors expressed on immune cells. Therefore, we surmised that the blood immune cells of individuals with different infections might bear discriminative transcriptional signatures. Gene expression profiles were obtained for 131 peripheral blood samples from pediatric patients with acute infections caused by influenza A virus, Gram-negative (Escherichia coli) or Gram-positive (Staphylococcus aureus and Streptococcus pneumoniae) bacteria. Thirty-five genes were identified that best discriminate patients with influenza A virus infection from patients with either E coli or S pneumoniae infection. These genes classified with 95% accuracy (35 of 37 samples) an independent set of patients with either influenza A, E coli, or S pneumoniae infection. A different signature discriminated patients with E coli versus S aureus infections with 85% accuracy (34 of 40). Furthermore, distinctive gene expression patterns were observed in patients presenting with respiratory infections of different etiologies. Thus, microarray analyses of patient peripheral blood leukocytes might assist in the differential diagnosis of infectious diseases."}
{"STANDARD_NAME":"GSE6269_STAPH_AUREUS_VS_STREP_PNEUMO_INF_PBMC_DN","SYSTEMATIC_NAME":"M5664","ORGANISM":"Homo sapiens","PMID":"17105821","AUTHORS":"Ramilo O,Allman W,Chung W,Mejias A,Ardura M,Glaser C,Wittkowski KM,Piqueras B,Banchereau J,Palucka AK,Chaussabel D.","GEOID":"GSE6269","EXACT_SOURCE":"GSE6269_1523_200_DN","CHIP":"AFFY_HG_U133","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of peripheral blood mononuclear cells (PBMC) from patients with acute infection: S. aureus versus S. pneumoniae.","DESCRIPTION_FULL":"Each infectious agent represents a unique combination of pathogen-associated molecular patterns that interact with specific pattern-recognition receptors expressed on immune cells. Therefore, we surmised that the blood immune cells of individuals with different infections might bear discriminative transcriptional signatures. Gene expression profiles were obtained for 131 peripheral blood samples from pediatric patients with acute infections caused by influenza A virus, Gram-negative (Escherichia coli) or Gram-positive (Staphylococcus aureus and Streptococcus pneumoniae) bacteria. Thirty-five genes were identified that best discriminate patients with influenza A virus infection from patients with either E coli or S pneumoniae infection. These genes classified with 95% accuracy (35 of 37 samples) an independent set of patients with either influenza A, E coli, or S pneumoniae infection. A different signature discriminated patients with E coli versus S aureus infections with 85% accuracy (34 of 40). Furthermore, distinctive gene expression patterns were observed in patients presenting with respiratory infections of different etiologies. Thus, microarray analyses of patient peripheral blood leukocytes might assist in the differential diagnosis of infectious diseases."}
{"STANDARD_NAME":"GSE6566_STRONG_VS_WEAK_DC_STIMULATED_CD4_TCELL_UP","SYSTEMATIC_NAME":"M5665","ORGANISM":"Homo sapiens","PMID":"18081042","AUTHORS":"Lozza L,Rivino L,Guarda G,Jarrossay D,Rinaldi A,Bertoni F,Sallusto F,Lanzavecchia A,Geginat J.","GEOID":"GSE6566","EXACT_SOURCE":"GSE6566_1724_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] cells stimulated with strong dendritic cells (DC) versus CD4 [GeneID=920] T cells stimulated with weak DCs.","DESCRIPTION_FULL":"The strength of T cell stimulation determines IL-7 responsiveness, recall potential and lineage commitment of primed human CD4+IL-7Rhi T cells. We analyzed how the strength of antigenic stimulation - as determined by dendritic cell (DC) number, DC maturation state and antigen concentration - controls in human CD4+ T cells IL-7R-alpha expression and responsiveness to IL-7, IL-15 and antigen. We found that T cells primed by different strengths of stimulation expressed IL-7R-alpha in different proportions and preferentially on cells that maintained expression of the central memory marker CCR7. However, while CCR7+IL-7Rhi cells generated at high strength of stimulation proliferated vigorously in response to IL-7 or IL-15, CCR7+IL-7Rhi cells generated at low strength of stimulation responded poorly. High cytokine responsiveness was associated with reduced PTEN expression and enhanced s6-kinase activation, consistent with efficient receptor coupling to downstream signalling pathways. Interestingly, while intermediate-stimulated CCR7+IL-7Rhi cells were non-polarized, self-renewed with IL-7 and expanded with antigen, high-stimulated cells generated Th1 effector cells with cytokines but showed impaired IL-2 production and survival with antigen. Gene expression analysis suggested that high-stimulated cells represented pre-Th1 cells with low recall potential and high metabolic state. Taken together these results demonstrate that IL-7 receptor expression and coupling are instructed in T cells by the strength of stimulation and suggest that memory subsets may derive from CCR7+IL-7Rhi precursors that received different strengths of stimulation."}
{"STANDARD_NAME":"GSE6566_STRONG_VS_WEAK_DC_STIMULATED_CD4_TCELL_DN","SYSTEMATIC_NAME":"M5666","ORGANISM":"Homo sapiens","PMID":"18081042","AUTHORS":"Lozza L,Rivino L,Guarda G,Jarrossay D,Rinaldi A,Bertoni F,Sallusto F,Lanzavecchia A,Geginat J.","GEOID":"GSE6566","EXACT_SOURCE":"GSE6566_1724_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] cells stimulated with strong dendritic cells (DC) versus CD4 [GeneID=920] T cells stimulated with weak DCs.","DESCRIPTION_FULL":"The strength of T cell stimulation determines IL-7 responsiveness, recall potential and lineage commitment of primed human CD4+IL-7Rhi T cells. We analyzed how the strength of antigenic stimulation - as determined by dendritic cell (DC) number, DC maturation state and antigen concentration - controls in human CD4+ T cells IL-7R-alpha expression and responsiveness to IL-7, IL-15 and antigen. We found that T cells primed by different strengths of stimulation expressed IL-7R-alpha in different proportions and preferentially on cells that maintained expression of the central memory marker CCR7. However, while CCR7+IL-7Rhi cells generated at high strength of stimulation proliferated vigorously in response to IL-7 or IL-15, CCR7+IL-7Rhi cells generated at low strength of stimulation responded poorly. High cytokine responsiveness was associated with reduced PTEN expression and enhanced s6-kinase activation, consistent with efficient receptor coupling to downstream signalling pathways. Interestingly, while intermediate-stimulated CCR7+IL-7Rhi cells were non-polarized, self-renewed with IL-7 and expanded with antigen, high-stimulated cells generated Th1 effector cells with cytokines but showed impaired IL-2 production and survival with antigen. Gene expression analysis suggested that high-stimulated cells represented pre-Th1 cells with low recall potential and high metabolic state. Taken together these results demonstrate that IL-7 receptor expression and coupling are instructed in T cells by the strength of stimulation and suggest that memory subsets may derive from CCR7+IL-7Rhi precursors that received different strengths of stimulation."}
{"STANDARD_NAME":"GSE7400_CTRL_VS_CSF3_IN_VIVO_TREATED_PBMC_UP","SYSTEMATIC_NAME":"M5668","ORGANISM":"Homo sapiens","PMID":"17761290","AUTHORS":"Buzzeo MP,Yang J,Casella G,Reddy V.","GEOID":"GSE7400","EXACT_SOURCE":"GSE7400_2048_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated peripheral blood mononuclear cells (PBMC) versus PBMCs treated with CSF3 [GeneID=1440].","DESCRIPTION_FULL":"Granulocyte-colony stimulating factor (G-CSF) is used to boost granulocyte counts in immunocompromised patients, but its effects on the immune system may be counter productive. We tested the hypothesis that G-CSF mobilized peripheral blood stem cell (PBSC) products are immunologically down regulated based on gene microarray analysis. Ten peripheral blood samples from normal donors for allogeneic PBSC transplantation were obtained before and after administration of G-CSF and tested on Affymetrix Human U133 Plus 2.0 GeneChip® microarrays. Significant changes in gene expression after G-CSF mobilization were reported by controlling the false discovery rate at 5%. Immune-related genes were isolated from the data set and categorized according to probe set annotations and a thorough, independent literature search. We found that G-CSF up-regulated inflammatory and neutrophil activation pathway gene expression; however, adaptive immune-related gene expression, such as antigen presentation, co-stimulation, T cell activation and cytolytic effector pathways, were generally down-regulated. Thus, despite significant increases in stem cells, lymphocytes and antigen presenting cells, G-CSF mobilized PBSC allografts exhibit a suppressive adaptive immune-related gene expression profile. Our data provides an explanation for the potentially immunosuppressive effects observed after G-CSF administration."}
{"STANDARD_NAME":"GSE7400_CTRL_VS_CSF3_IN_VIVO_TREATED_PBMC_DN","SYSTEMATIC_NAME":"M5670","ORGANISM":"Homo sapiens","PMID":"17761290","AUTHORS":"Buzzeo MP,Yang J,Casella G,Reddy V.","GEOID":"GSE7400","EXACT_SOURCE":"GSE7400_2048_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated peripheral blood mononuclear cells (PBMC) versus PBMCs treated with CSF3 [GeneID=1440].","DESCRIPTION_FULL":"Granulocyte-colony stimulating factor (G-CSF) is used to boost granulocyte counts in immunocompromised patients, but its effects on the immune system may be counter productive. We tested the hypothesis that G-CSF mobilized peripheral blood stem cell (PBSC) products are immunologically down regulated based on gene microarray analysis. Ten peripheral blood samples from normal donors for allogeneic PBSC transplantation were obtained before and after administration of G-CSF and tested on Affymetrix Human U133 Plus 2.0 GeneChip® microarrays. Significant changes in gene expression after G-CSF mobilization were reported by controlling the false discovery rate at 5%. Immune-related genes were isolated from the data set and categorized according to probe set annotations and a thorough, independent literature search. We found that G-CSF up-regulated inflammatory and neutrophil activation pathway gene expression; however, adaptive immune-related gene expression, such as antigen presentation, co-stimulation, T cell activation and cytolytic effector pathways, were generally down-regulated. Thus, despite significant increases in stem cells, lymphocytes and antigen presenting cells, G-CSF mobilized PBSC allografts exhibit a suppressive adaptive immune-related gene expression profile. Our data provides an explanation for the potentially immunosuppressive effects observed after G-CSF administration."}
{"STANDARD_NAME":"GSE7460_TCONV_VS_TREG_LN_UP","SYSTEMATIC_NAME":"M5673","ORGANISM":"Homo sapiens","PMID":"18024188","AUTHORS":"Buzzeo MP,Yang J,Casella G,Reddy V.","GEOID":"GSE7460","EXACT_SOURCE":"GSE7460_1327_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of TconvLN versus TregLN (see Fig. 1 in the paper for details).","DESCRIPTION_FULL":"The transcription factor Foxp3 is usually considered the master regulator for the CD4+CD25+ \"Treg\" lineage, which plays a key role in controlling immune and autoimmune responses, and is characterized by a unique transcriptional signature. We have performed a meta-analysis of this signature in Treg cells in several conditions to delineate the elements that can be ascribed to T cell activation, TGFbeta signaling, or Foxp3 itself. We find that these influences synergize to activate many of the signature’s components. Foxp3 and TGFbeta signaling have interconnected relationships, as Foxp3 is induced by TGFbeta while enhancing TGFbeta’s positive feedback loop. Much of the Treg signature cannot be ascribed to Foxp3, as it contains gene clusters that are co-regulated, but cannot be transactivated, by Foxp3. This suggests that the Treg lineage is specified at a higher level of regulation, upstream of Foxp3, which does control some of the lineage’s essential immunoregulatory attributes."}
{"STANDARD_NAME":"GSE7460_TCONV_VS_TREG_LN_DN","SYSTEMATIC_NAME":"M5674","ORGANISM":"Homo sapiens","PMID":"18024188","AUTHORS":"Buzzeo MP,Yang J,Casella G,Reddy V.","GEOID":"GSE7460","EXACT_SOURCE":"GSE7460_1327_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of TconvLN versus TregLN (see Fig. 1 in the paper for details).","DESCRIPTION_FULL":"The transcription factor Foxp3 is usually considered the master regulator for the CD4+CD25+ \"Treg\" lineage, which plays a key role in controlling immune and autoimmune responses, and is characterized by a unique transcriptional signature. We have performed a meta-analysis of this signature in Treg cells in several conditions to delineate the elements that can be ascribed to T cell activation, TGFbeta signaling, or Foxp3 itself. We find that these influences synergize to activate many of the signature’s components. Foxp3 and TGFbeta signaling have interconnected relationships, as Foxp3 is induced by TGFbeta while enhancing TGFbeta’s positive feedback loop. Much of the Treg signature cannot be ascribed to Foxp3, as it contains gene clusters that are co-regulated, but cannot be transactivated, by Foxp3. This suggests that the Treg lineage is specified at a higher level of regulation, upstream of Foxp3, which does control some of the lineage’s essential immunoregulatory attributes."}
{"STANDARD_NAME":"GSE7460_TCONV_VS_TREG_THYMUS_UP","SYSTEMATIC_NAME":"M5675","ORGANISM":"Homo sapiens","PMID":"18024188","AUTHORS":"Buzzeo MP,Yang J,Casella G,Reddy V.","GEOID":"GSE7460","EXACT_SOURCE":"GSE7460_1328_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of TconvThy versus TregThy (see Fig. 1 in the paper for details).","DESCRIPTION_FULL":"The transcription factor Foxp3 is usually considered the master regulator for the CD4+CD25+ \"Treg\" lineage, which plays a key role in controlling immune and autoimmune responses, and is characterized by a unique transcriptional signature. We have performed a meta-analysis of this signature in Treg cells in several conditions to delineate the elements that can be ascribed to T cell activation, TGFbeta signaling, or Foxp3 itself. We find that these influences synergize to activate many of the signature’s components. Foxp3 and TGFbeta signaling have interconnected relationships, as Foxp3 is induced by TGFbeta while enhancing TGFbeta’s positive feedback loop. Much of the Treg signature cannot be ascribed to Foxp3, as it contains gene clusters that are co-regulated, but cannot be transactivated, by Foxp3. This suggests that the Treg lineage is specified at a higher level of regulation, upstream of Foxp3, which does control some of the lineage’s essential immunoregulatory attributes."}
{"STANDARD_NAME":"GSE7460_TCONV_VS_TREG_THYMUS_DN","SYSTEMATIC_NAME":"M5676","ORGANISM":"Homo sapiens","PMID":"18024188","AUTHORS":"Buzzeo MP,Yang J,Casella G,Reddy V.","GEOID":"GSE7460","EXACT_SOURCE":"GSE7460_1328_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of TconvThy versus TregThy (see Fig. 1 in the paper for details).","DESCRIPTION_FULL":"The transcription factor Foxp3 is usually considered the master regulator for the CD4+CD25+ \"Treg\" lineage, which plays a key role in controlling immune and autoimmune responses, and is characterized by a unique transcriptional signature. We have performed a meta-analysis of this signature in Treg cells in several conditions to delineate the elements that can be ascribed to T cell activation, TGFbeta signaling, or Foxp3 itself. We find that these influences synergize to activate many of the signature’s components. Foxp3 and TGFbeta signaling have interconnected relationships, as Foxp3 is induced by TGFbeta while enhancing TGFbeta’s positive feedback loop. Much of the Treg signature cannot be ascribed to Foxp3, as it contains gene clusters that are co-regulated, but cannot be transactivated, by Foxp3. This suggests that the Treg lineage is specified at a higher level of regulation, upstream of Foxp3, which does control some of the lineage’s essential immunoregulatory attributes."}
{"STANDARD_NAME":"GSE7460_CTRL_VS_TGFB_TREATED_ACT_CD8_TCELL_UP","SYSTEMATIC_NAME":"M5677","ORGANISM":"Homo sapiens","PMID":"18024188","AUTHORS":"Buzzeo MP,Yang J,Casella G,Reddy V.","GEOID":"GSE7460","EXACT_SOURCE":"GSE7460_1329_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparsion of ActCD8 versus ActCD8TGF (see Fig. 1 in the paper for details).","DESCRIPTION_FULL":"The transcription factor Foxp3 is usually considered the master regulator for the CD4+CD25+ \"Treg\" lineage, which plays a key role in controlling immune and autoimmune responses, and is characterized by a unique transcriptional signature. We have performed a meta-analysis of this signature in Treg cells in several conditions to delineate the elements that can be ascribed to T cell activation, TGFbeta signaling, or Foxp3 itself. We find that these influences synergize to activate many of the signature’s components. Foxp3 and TGFbeta signaling have interconnected relationships, as Foxp3 is induced by TGFbeta while enhancing TGFbeta’s positive feedback loop. Much of the Treg signature cannot be ascribed to Foxp3, as it contains gene clusters that are co-regulated, but cannot be transactivated, by Foxp3. This suggests that the Treg lineage is specified at a higher level of regulation, upstream of Foxp3, which does control some of the lineage’s essential immunoregulatory attributes."}
{"STANDARD_NAME":"GSE7460_CTRL_VS_TGFB_TREATED_ACT_CD8_TCELL_DN","SYSTEMATIC_NAME":"M5679","ORGANISM":"Homo sapiens","PMID":"18024188","AUTHORS":"Buzzeo MP,Yang J,Casella G,Reddy V.","GEOID":"GSE7460","EXACT_SOURCE":"GSE7460_1329_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparsion of ActCD8 versus ActCD8TGF (see Fig. 1 in the paper for details).","DESCRIPTION_FULL":"The transcription factor Foxp3 is usually considered the master regulator for the CD4+CD25+ \"Treg\" lineage, which plays a key role in controlling immune and autoimmune responses, and is characterized by a unique transcriptional signature. We have performed a meta-analysis of this signature in Treg cells in several conditions to delineate the elements that can be ascribed to T cell activation, TGFbeta signaling, or Foxp3 itself. We find that these influences synergize to activate many of the signature’s components. Foxp3 and TGFbeta signaling have interconnected relationships, as Foxp3 is induced by TGFbeta while enhancing TGFbeta’s positive feedback loop. Much of the Treg signature cannot be ascribed to Foxp3, as it contains gene clusters that are co-regulated, but cannot be transactivated, by Foxp3. This suggests that the Treg lineage is specified at a higher level of regulation, upstream of Foxp3, which does control some of the lineage’s essential immunoregulatory attributes."}
{"STANDARD_NAME":"GSE7460_CTRL_VS_TGFB_TREATED_ACT_TREG_UP","SYSTEMATIC_NAME":"M5680","ORGANISM":"Homo sapiens","PMID":"18024188","AUTHORS":"Buzzeo MP,Yang J,Casella G,Reddy V.","GEOID":"GSE7460","EXACT_SOURCE":"GSE7460_1330_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparsion of ActTreg versus ActTregTGF (see Fig. 1 in the paper for details).","DESCRIPTION_FULL":"The transcription factor Foxp3 is usually considered the master regulator for the CD4+CD25+ \"Treg\" lineage, which plays a key role in controlling immune and autoimmune responses, and is characterized by a unique transcriptional signature. We have performed a meta-analysis of this signature in Treg cells in several conditions to delineate the elements that can be ascribed to T cell activation, TGFbeta signaling, or Foxp3 itself. We find that these influences synergize to activate many of the signature’s components. Foxp3 and TGFbeta signaling have interconnected relationships, as Foxp3 is induced by TGFbeta while enhancing TGFbeta’s positive feedback loop. Much of the Treg signature cannot be ascribed to Foxp3, as it contains gene clusters that are co-regulated, but cannot be transactivated, by Foxp3. This suggests that the Treg lineage is specified at a higher level of regulation, upstream of Foxp3, which does control some of the lineage’s essential immunoregulatory attributes."}
{"STANDARD_NAME":"GSE7460_CTRL_VS_TGFB_TREATED_ACT_TREG_DN","SYSTEMATIC_NAME":"M5682","ORGANISM":"Homo sapiens","PMID":"18024188","AUTHORS":"Buzzeo MP,Yang J,Casella G,Reddy V.","GEOID":"GSE7460","EXACT_SOURCE":"GSE7460_1330_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparsion of ActTreg versus ActTregTGF (see Fig. 1 in the paper for details).","DESCRIPTION_FULL":"The transcription factor Foxp3 is usually considered the master regulator for the CD4+CD25+ \"Treg\" lineage, which plays a key role in controlling immune and autoimmune responses, and is characterized by a unique transcriptional signature. We have performed a meta-analysis of this signature in Treg cells in several conditions to delineate the elements that can be ascribed to T cell activation, TGFbeta signaling, or Foxp3 itself. We find that these influences synergize to activate many of the signature’s components. Foxp3 and TGFbeta signaling have interconnected relationships, as Foxp3 is induced by TGFbeta while enhancing TGFbeta’s positive feedback loop. Much of the Treg signature cannot be ascribed to Foxp3, as it contains gene clusters that are co-regulated, but cannot be transactivated, by Foxp3. This suggests that the Treg lineage is specified at a higher level of regulation, upstream of Foxp3, which does control some of the lineage’s essential immunoregulatory attributes."}
{"STANDARD_NAME":"GSE7460_CD8_TCELL_VS_TREG_ACT_UP","SYSTEMATIC_NAME":"M5683","ORGANISM":"Homo sapiens","PMID":"18024188","AUTHORS":"Buzzeo MP,Yang J,Casella G,Reddy V.","GEOID":"GSE7460","EXACT_SOURCE":"GSE7460_1331_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparsion of ActCD8 versus ActTreg (see Fig. 1 in the paper for details).","DESCRIPTION_FULL":"The transcription factor Foxp3 is usually considered the master regulator for the CD4+CD25+ \"Treg\" lineage, which plays a key role in controlling immune and autoimmune responses, and is characterized by a unique transcriptional signature. We have performed a meta-analysis of this signature in Treg cells in several conditions to delineate the elements that can be ascribed to T cell activation, TGFbeta signaling, or Foxp3 itself. We find that these influences synergize to activate many of the signature’s components. Foxp3 and TGFbeta signaling have interconnected relationships, as Foxp3 is induced by TGFbeta while enhancing TGFbeta’s positive feedback loop. Much of the Treg signature cannot be ascribed to Foxp3, as it contains gene clusters that are co-regulated, but cannot be transactivated, by Foxp3. This suggests that the Treg lineage is specified at a higher level of regulation, upstream of Foxp3, which does control some of the lineage’s essential immunoregulatory attributes."}
{"STANDARD_NAME":"GSE7460_CD8_TCELL_VS_TREG_ACT_DN","SYSTEMATIC_NAME":"M5684","ORGANISM":"Homo sapiens","PMID":"18024188","AUTHORS":"Buzzeo MP,Yang J,Casella G,Reddy V.","GEOID":"GSE7460","EXACT_SOURCE":"GSE7460_1331_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparsion of ActCD8 versus ActTreg(see Fig. 1 in the paper for details).","DESCRIPTION_FULL":"The transcription factor Foxp3 is usually considered the master regulator for the CD4+CD25+ \"Treg\" lineage, which plays a key role in controlling immune and autoimmune responses, and is characterized by a unique transcriptional signature. We have performed a meta-analysis of this signature in Treg cells in several conditions to delineate the elements that can be ascribed to T cell activation, TGFbeta signaling, or Foxp3 itself. We find that these influences synergize to activate many of the signature’s components. Foxp3 and TGFbeta signaling have interconnected relationships, as Foxp3 is induced by TGFbeta while enhancing TGFbeta’s positive feedback loop. Much of the Treg signature cannot be ascribed to Foxp3, as it contains gene clusters that are co-regulated, but cannot be transactivated, by Foxp3. This suggests that the Treg lineage is specified at a higher level of regulation, upstream of Foxp3, which does control some of the lineage’s essential immunoregulatory attributes."}
{"STANDARD_NAME":"GSE7460_CD8_TCELL_VS_CD4_TCELL_ACT_UP","SYSTEMATIC_NAME":"M5687","ORGANISM":"Homo sapiens","PMID":"18024188","AUTHORS":"Buzzeo MP,Yang J,Casella G,Reddy V.","GEOID":"GSE7460","EXACT_SOURCE":"GSE7460_1332_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparsion of ActCD8 versus ActCD4 (see Fig. 1 in the paper for details).","DESCRIPTION_FULL":"The transcription factor Foxp3 is usually considered the master regulator for the CD4+CD25+ \"Treg\" lineage, which plays a key role in controlling immune and autoimmune responses, and is characterized by a unique transcriptional signature. We have performed a meta-analysis of this signature in Treg cells in several conditions to delineate the elements that can be ascribed to T cell activation, TGFbeta signaling, or Foxp3 itself. We find that these influences synergize to activate many of the signature’s components. Foxp3 and TGFbeta signaling have interconnected relationships, as Foxp3 is induced by TGFbeta while enhancing TGFbeta’s positive feedback loop. Much of the Treg signature cannot be ascribed to Foxp3, as it contains gene clusters that are co-regulated, but cannot be transactivated, by Foxp3. This suggests that the Treg lineage is specified at a higher level of regulation, upstream of Foxp3, which does control some of the lineage’s essential immunoregulatory attributes."}
{"STANDARD_NAME":"GSE7460_CD8_TCELL_VS_CD4_TCELL_ACT_DN","SYSTEMATIC_NAME":"M5689","ORGANISM":"Homo sapiens","PMID":"18024188","AUTHORS":"Buzzeo MP,Yang J,Casella G,Reddy V.","GEOID":"GSE7460","EXACT_SOURCE":"GSE7460_1332_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparsion of ActCD8 versus ActCD4 (see Fig. 1 in the paper for details).","DESCRIPTION_FULL":"The transcription factor Foxp3 is usually considered the master regulator for the CD4+CD25+ \"Treg\" lineage, which plays a key role in controlling immune and autoimmune responses, and is characterized by a unique transcriptional signature. We have performed a meta-analysis of this signature in Treg cells in several conditions to delineate the elements that can be ascribed to T cell activation, TGFbeta signaling, or Foxp3 itself. We find that these influences synergize to activate many of the signature’s components. Foxp3 and TGFbeta signaling have interconnected relationships, as Foxp3 is induced by TGFbeta while enhancing TGFbeta’s positive feedback loop. Much of the Treg signature cannot be ascribed to Foxp3, as it contains gene clusters that are co-regulated, but cannot be transactivated, by Foxp3. This suggests that the Treg lineage is specified at a higher level of regulation, upstream of Foxp3, which does control some of the lineage’s essential immunoregulatory attributes."}
{"STANDARD_NAME":"GSE7460_TREG_VS_TCONV_ACT_UP","SYSTEMATIC_NAME":"M5690","ORGANISM":"Homo sapiens","PMID":"18024188","AUTHORS":"Buzzeo MP,Yang J,Casella G,Reddy V.","GEOID":"GSE7460","EXACT_SOURCE":"GSE7460_1333_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparsion of ActTreg versus ActCD4 (see Fig. 1 in the paper for details).","DESCRIPTION_FULL":"The transcription factor Foxp3 is usually considered the master regulator for the CD4+CD25+ \"Treg\" lineage, which plays a key role in controlling immune and autoimmune responses, and is characterized by a unique transcriptional signature. We have performed a meta-analysis of this signature in Treg cells in several conditions to delineate the elements that can be ascribed to T cell activation, TGFbeta signaling, or Foxp3 itself. We find that these influences synergize to activate many of the signature’s components. Foxp3 and TGFbeta signaling have interconnected relationships, as Foxp3 is induced by TGFbeta while enhancing TGFbeta’s positive feedback loop. Much of the Treg signature cannot be ascribed to Foxp3, as it contains gene clusters that are co-regulated, but cannot be transactivated, by Foxp3. This suggests that the Treg lineage is specified at a higher level of regulation, upstream of Foxp3, which does control some of the lineage’s essential immunoregulatory attributes."}
{"STANDARD_NAME":"GSE7460_TREG_VS_TCONV_ACT_DN","SYSTEMATIC_NAME":"M5691","ORGANISM":"Homo sapiens","PMID":"18024188","AUTHORS":"Buzzeo MP,Yang J,Casella G,Reddy V.","GEOID":"GSE7460","EXACT_SOURCE":"GSE7460_1333_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparsion of ActTreg versus ActCD4 (see Fig. 1 in the paper for details).","DESCRIPTION_FULL":"The transcription factor Foxp3 is usually considered the master regulator for the CD4+CD25+ \"Treg\" lineage, which plays a key role in controlling immune and autoimmune responses, and is characterized by a unique transcriptional signature. We have performed a meta-analysis of this signature in Treg cells in several conditions to delineate the elements that can be ascribed to T cell activation, TGFbeta signaling, or Foxp3 itself. We find that these influences synergize to activate many of the signature’s components. Foxp3 and TGFbeta signaling have interconnected relationships, as Foxp3 is induced by TGFbeta while enhancing TGFbeta’s positive feedback loop. Much of the Treg signature cannot be ascribed to Foxp3, as it contains gene clusters that are co-regulated, but cannot be transactivated, by Foxp3. This suggests that the Treg lineage is specified at a higher level of regulation, upstream of Foxp3, which does control some of the lineage’s essential immunoregulatory attributes."}
{"STANDARD_NAME":"GSE7460_TREG_VS_TCONV_ACT_WITH_TGFB_UP","SYSTEMATIC_NAME":"M5692","ORGANISM":"Homo sapiens","PMID":"18024188","AUTHORS":"Buzzeo MP,Yang J,Casella G,Reddy V.","GEOID":"GSE7460","EXACT_SOURCE":"GSE7460_1334_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparsion of ActTregTGF versus ActCD4TGF (see Fig. 1 in the paper for details).","DESCRIPTION_FULL":"The transcription factor Foxp3 is usually considered the master regulator for the CD4+CD25+ \"Treg\" lineage, which plays a key role in controlling immune and autoimmune responses, and is characterized by a unique transcriptional signature. We have performed a meta-analysis of this signature in Treg cells in several conditions to delineate the elements that can be ascribed to T cell activation, TGFbeta signaling, or Foxp3 itself. We find that these influences synergize to activate many of the signature’s components. Foxp3 and TGFbeta signaling have interconnected relationships, as Foxp3 is induced by TGFbeta while enhancing TGFbeta’s positive feedback loop. Much of the Treg signature cannot be ascribed to Foxp3, as it contains gene clusters that are co-regulated, but cannot be transactivated, by Foxp3. This suggests that the Treg lineage is specified at a higher level of regulation, upstream of Foxp3, which does control some of the lineage’s essential immunoregulatory attributes."}
{"STANDARD_NAME":"GSE7460_TREG_VS_TCONV_ACT_WITH_TGFB_DN","SYSTEMATIC_NAME":"M5693","ORGANISM":"Homo sapiens","PMID":"18024188","AUTHORS":"Buzzeo MP,Yang J,Casella G,Reddy V.","GEOID":"GSE7460","EXACT_SOURCE":"GSE7460_1334_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparsion of ActTregTGF versus ActCD4TGF (see Fig. 1 in the paper for details).","DESCRIPTION_FULL":"The transcription factor Foxp3 is usually considered the master regulator for the CD4+CD25+ \"Treg\" lineage, which plays a key role in controlling immune and autoimmune responses, and is characterized by a unique transcriptional signature. We have performed a meta-analysis of this signature in Treg cells in several conditions to delineate the elements that can be ascribed to T cell activation, TGFbeta signaling, or Foxp3 itself. We find that these influences synergize to activate many of the signature’s components. Foxp3 and TGFbeta signaling have interconnected relationships, as Foxp3 is induced by TGFbeta while enhancing TGFbeta’s positive feedback loop. Much of the Treg signature cannot be ascribed to Foxp3, as it contains gene clusters that are co-regulated, but cannot be transactivated, by Foxp3. This suggests that the Treg lineage is specified at a higher level of regulation, upstream of Foxp3, which does control some of the lineage’s essential immunoregulatory attributes."}
{"STANDARD_NAME":"GSE7460_CTRL_VS_TGFB_TREATED_ACT_TCONV_UP","SYSTEMATIC_NAME":"M5694","ORGANISM":"Homo sapiens","PMID":"18024188","AUTHORS":"Buzzeo MP,Yang J,Casella G,Reddy V.","GEOID":"GSE7460","EXACT_SOURCE":"GSE7460_1335_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparsion of ActCD4 versus ActCD4TGF (see Fig. 1 in the paper for details).","DESCRIPTION_FULL":"The transcription factor Foxp3 is usually considered the master regulator for the CD4+CD25+ \"Treg\" lineage, which plays a key role in controlling immune and autoimmune responses, and is characterized by a unique transcriptional signature. We have performed a meta-analysis of this signature in Treg cells in several conditions to delineate the elements that can be ascribed to T cell activation, TGFbeta signaling, or Foxp3 itself. We find that these influences synergize to activate many of the signature’s components. Foxp3 and TGFbeta signaling have interconnected relationships, as Foxp3 is induced by TGFbeta while enhancing TGFbeta’s positive feedback loop. Much of the Treg signature cannot be ascribed to Foxp3, as it contains gene clusters that are co-regulated, but cannot be transactivated, by Foxp3. This suggests that the Treg lineage is specified at a higher level of regulation, upstream of Foxp3, which does control some of the lineage’s essential immunoregulatory attributes."}
{"STANDARD_NAME":"GSE7460_CTRL_VS_TGFB_TREATED_ACT_TCONV_DN","SYSTEMATIC_NAME":"M5695","ORGANISM":"Homo sapiens","PMID":"18024188","AUTHORS":"Buzzeo MP,Yang J,Casella G,Reddy V.","GEOID":"GSE7460","EXACT_SOURCE":"GSE7460_1335_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparsion of ActCD4 versus ActCD4TGF (see Fig. 1 in the paper for details).","DESCRIPTION_FULL":"The transcription factor Foxp3 is usually considered the master regulator for the CD4+CD25+ \"Treg\" lineage, which plays a key role in controlling immune and autoimmune responses, and is characterized by a unique transcriptional signature. We have performed a meta-analysis of this signature in Treg cells in several conditions to delineate the elements that can be ascribed to T cell activation, TGFbeta signaling, or Foxp3 itself. We find that these influences synergize to activate many of the signature’s components. Foxp3 and TGFbeta signaling have interconnected relationships, as Foxp3 is induced by TGFbeta while enhancing TGFbeta’s positive feedback loop. Much of the Treg signature cannot be ascribed to Foxp3, as it contains gene clusters that are co-regulated, but cannot be transactivated, by Foxp3. This suggests that the Treg lineage is specified at a higher level of regulation, upstream of Foxp3, which does control some of the lineage’s essential immunoregulatory attributes."}
{"STANDARD_NAME":"GSE7460_CTRL_VS_TGFB_TREATED_ACT_FOXP3_HET_TCONV_UP","SYSTEMATIC_NAME":"M5696","ORGANISM":"Homo sapiens","PMID":"18024188","AUTHORS":"Buzzeo MP,Yang J,Casella G,Reddy V.","GEOID":"GSE7460","EXACT_SOURCE":"GSE7460_1336_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparsion of WTActCD4 versus WTActCD4TGF (see Fig. 1 in the paper for details).","DESCRIPTION_FULL":"The transcription factor Foxp3 is usually considered the master regulator for the CD4+CD25+ \"Treg\" lineage, which plays a key role in controlling immune and autoimmune responses, and is characterized by a unique transcriptional signature. We have performed a meta-analysis of this signature in Treg cells in several conditions to delineate the elements that can be ascribed to T cell activation, TGFbeta signaling, or Foxp3 itself. We find that these influences synergize to activate many of the signature’s components. Foxp3 and TGFbeta signaling have interconnected relationships, as Foxp3 is induced by TGFbeta while enhancing TGFbeta’s positive feedback loop. Much of the Treg signature cannot be ascribed to Foxp3, as it contains gene clusters that are co-regulated, but cannot be transactivated, by Foxp3. This suggests that the Treg lineage is specified at a higher level of regulation, upstream of Foxp3, which does control some of the lineage’s essential immunoregulatory attributes."}
{"STANDARD_NAME":"GSE7460_CTRL_VS_TGFB_TREATED_ACT_FOXP3_HET_TCONV_DN","SYSTEMATIC_NAME":"M5697","ORGANISM":"Homo sapiens","PMID":"18024188","AUTHORS":"Buzzeo MP,Yang J,Casella G,Reddy V.","GEOID":"GSE7460","EXACT_SOURCE":"GSE7460_1336_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparsion of WTActCD4 versus WTActCD4TGF (see Fig. 1 in the paper for details).","DESCRIPTION_FULL":"The transcription factor Foxp3 is usually considered the master regulator for the CD4+CD25+ \"Treg\" lineage, which plays a key role in controlling immune and autoimmune responses, and is characterized by a unique transcriptional signature. We have performed a meta-analysis of this signature in Treg cells in several conditions to delineate the elements that can be ascribed to T cell activation, TGFbeta signaling, or Foxp3 itself. We find that these influences synergize to activate many of the signature’s components. Foxp3 and TGFbeta signaling have interconnected relationships, as Foxp3 is induced by TGFbeta while enhancing TGFbeta’s positive feedback loop. Much of the Treg signature cannot be ascribed to Foxp3, as it contains gene clusters that are co-regulated, but cannot be transactivated, by Foxp3. This suggests that the Treg lineage is specified at a higher level of regulation, upstream of Foxp3, which does control some of the lineage’s essential immunoregulatory attributes."}
{"STANDARD_NAME":"GSE7460_CTRL_VS_TGFB_TREATED_ACT_FOXP3_MUT_TCONV_UP","SYSTEMATIC_NAME":"M5698","ORGANISM":"Homo sapiens","PMID":"18024188","AUTHORS":"Buzzeo MP,Yang J,Casella G,Reddy V.","GEOID":"GSE7460","EXACT_SOURCE":"GSE7460_1337_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparsion of sfActCD4 versus sfActCD4TGF (see Fig. 1 in the paper for details).","DESCRIPTION_FULL":"The transcription factor Foxp3 is usually considered the master regulator for the CD4+CD25+ \"Treg\" lineage, which plays a key role in controlling immune and autoimmune responses, and is characterized by a unique transcriptional signature. We have performed a meta-analysis of this signature in Treg cells in several conditions to delineate the elements that can be ascribed to T cell activation, TGFbeta signaling, or Foxp3 itself. We find that these influences synergize to activate many of the signature’s components. Foxp3 and TGFbeta signaling have interconnected relationships, as Foxp3 is induced by TGFbeta while enhancing TGFbeta’s positive feedback loop. Much of the Treg signature cannot be ascribed to Foxp3, as it contains gene clusters that are co-regulated, but cannot be transactivated, by Foxp3. This suggests that the Treg lineage is specified at a higher level of regulation, upstream of Foxp3, which does control some of the lineage’s essential immunoregulatory attributes."}
{"STANDARD_NAME":"GSE7460_CTRL_VS_TGFB_TREATED_ACT_FOXP3_MUT_TCONV_DN","SYSTEMATIC_NAME":"M5699","ORGANISM":"Homo sapiens","PMID":"18024188","AUTHORS":"Buzzeo MP,Yang J,Casella G,Reddy V.","GEOID":"GSE7460","EXACT_SOURCE":"GSE7460_1337_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparsion of sfActCD4 versus sfActCD4TGF (see Fig. 1 in the paper for details).","DESCRIPTION_FULL":"The transcription factor Foxp3 is usually considered the master regulator for the CD4+CD25+ \"Treg\" lineage, which plays a key role in controlling immune and autoimmune responses, and is characterized by a unique transcriptional signature. We have performed a meta-analysis of this signature in Treg cells in several conditions to delineate the elements that can be ascribed to T cell activation, TGFbeta signaling, or Foxp3 itself. We find that these influences synergize to activate many of the signature’s components. Foxp3 and TGFbeta signaling have interconnected relationships, as Foxp3 is induced by TGFbeta while enhancing TGFbeta’s positive feedback loop. Much of the Treg signature cannot be ascribed to Foxp3, as it contains gene clusters that are co-regulated, but cannot be transactivated, by Foxp3. This suggests that the Treg lineage is specified at a higher level of regulation, upstream of Foxp3, which does control some of the lineage’s essential immunoregulatory attributes."}
{"STANDARD_NAME":"GSE7460_FOXP3_MUT_VS_WT_ACT_TCONV_UP","SYSTEMATIC_NAME":"M5700","ORGANISM":"Homo sapiens","PMID":"18024188","AUTHORS":"Buzzeo MP,Yang J,Casella G,Reddy V.","GEOID":"GSE7460","EXACT_SOURCE":"GSE7460_1338_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparsion of sfActCD4 versus ActCD4 (see Fig. 1 in the paper for details).","DESCRIPTION_FULL":"The transcription factor Foxp3 is usually considered the master regulator for the CD4+CD25+ \"Treg\" lineage, which plays a key role in controlling immune and autoimmune responses, and is characterized by a unique transcriptional signature. We have performed a meta-analysis of this signature in Treg cells in several conditions to delineate the elements that can be ascribed to T cell activation, TGFbeta signaling, or Foxp3 itself. We find that these influences synergize to activate many of the signature’s components. Foxp3 and TGFbeta signaling have interconnected relationships, as Foxp3 is induced by TGFbeta while enhancing TGFbeta’s positive feedback loop. Much of the Treg signature cannot be ascribed to Foxp3, as it contains gene clusters that are co-regulated, but cannot be transactivated, by Foxp3. This suggests that the Treg lineage is specified at a higher level of regulation, upstream of Foxp3, which does control some of the lineage’s essential immunoregulatory attributes."}
{"STANDARD_NAME":"GSE7460_FOXP3_MUT_VS_WT_ACT_TCONV_DN","SYSTEMATIC_NAME":"M5701","ORGANISM":"Homo sapiens","PMID":"18024188","AUTHORS":"Buzzeo MP,Yang J,Casella G,Reddy V.","GEOID":"GSE7460","EXACT_SOURCE":"GSE7460_1338_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparsion of sfActCD4 versus ActCD4 (see Fig. 1 in the paper for details).","DESCRIPTION_FULL":"The transcription factor Foxp3 is usually considered the master regulator for the CD4+CD25+ \"Treg\" lineage, which plays a key role in controlling immune and autoimmune responses, and is characterized by a unique transcriptional signature. We have performed a meta-analysis of this signature in Treg cells in several conditions to delineate the elements that can be ascribed to T cell activation, TGFbeta signaling, or Foxp3 itself. We find that these influences synergize to activate many of the signature’s components. Foxp3 and TGFbeta signaling have interconnected relationships, as Foxp3 is induced by TGFbeta while enhancing TGFbeta’s positive feedback loop. Much of the Treg signature cannot be ascribed to Foxp3, as it contains gene clusters that are co-regulated, but cannot be transactivated, by Foxp3. This suggests that the Treg lineage is specified at a higher level of regulation, upstream of Foxp3, which does control some of the lineage’s essential immunoregulatory attributes."}
{"STANDARD_NAME":"GSE7460_FOXP3_MUT_VS_WT_ACT_WITH_TGFB_TCONV_UP","SYSTEMATIC_NAME":"M5703","ORGANISM":"Homo sapiens","PMID":"18024188","AUTHORS":"Buzzeo MP,Yang J,Casella G,Reddy V.","GEOID":"GSE7460","EXACT_SOURCE":"GSE7460_1339_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparsion of sfActCD4TGF versus ActCD4TGF (see Fig. 1 in the paper for details).","DESCRIPTION_FULL":"The transcription factor Foxp3 is usually considered the master regulator for the CD4+CD25+ \"Treg\" lineage, which plays a key role in controlling immune and autoimmune responses, and is characterized by a unique transcriptional signature. We have performed a meta-analysis of this signature in Treg cells in several conditions to delineate the elements that can be ascribed to T cell activation, TGFbeta signaling, or Foxp3 itself. We find that these influences synergize to activate many of the signature’s components. Foxp3 and TGFbeta signaling have interconnected relationships, as Foxp3 is induced by TGFbeta while enhancing TGFbeta’s positive feedback loop. Much of the Treg signature cannot be ascribed to Foxp3, as it contains gene clusters that are co-regulated, but cannot be transactivated, by Foxp3. This suggests that the Treg lineage is specified at a higher level of regulation, upstream of Foxp3, which does control some of the lineage’s essential immunoregulatory attributes."}
{"STANDARD_NAME":"GSE7460_FOXP3_MUT_VS_WT_ACT_WITH_TGFB_TCONV_DN","SYSTEMATIC_NAME":"M5705","ORGANISM":"Homo sapiens","PMID":"18024188","AUTHORS":"Buzzeo MP,Yang J,Casella G,Reddy V.","GEOID":"GSE7460","EXACT_SOURCE":"GSE7460_1339_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparsion of sfActCD4TGF versus ActCD4TGF (see Fig. 1 in the paper for details).","DESCRIPTION_FULL":"The transcription factor Foxp3 is usually considered the master regulator for the CD4+CD25+ \"Treg\" lineage, which plays a key role in controlling immune and autoimmune responses, and is characterized by a unique transcriptional signature. We have performed a meta-analysis of this signature in Treg cells in several conditions to delineate the elements that can be ascribed to T cell activation, TGFbeta signaling, or Foxp3 itself. We find that these influences synergize to activate many of the signature’s components. Foxp3 and TGFbeta signaling have interconnected relationships, as Foxp3 is induced by TGFbeta while enhancing TGFbeta’s positive feedback loop. Much of the Treg signature cannot be ascribed to Foxp3, as it contains gene clusters that are co-regulated, but cannot be transactivated, by Foxp3. This suggests that the Treg lineage is specified at a higher level of regulation, upstream of Foxp3, which does control some of the lineage’s essential immunoregulatory attributes."}
{"STANDARD_NAME":"GSE7460_FOXP3_MUT_VS_HET_ACT_TCONV_UP","SYSTEMATIC_NAME":"M5706","ORGANISM":"Homo sapiens","PMID":"18024188","AUTHORS":"Buzzeo MP,Yang J,Casella G,Reddy V.","GEOID":"GSE7460","EXACT_SOURCE":"GSE7460_1340_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparsion of sfActCD4 versus WTActCD4 (see Fig. 1 in the paper for details).","DESCRIPTION_FULL":"The transcription factor Foxp3 is usually considered the master regulator for the CD4+CD25+ \"Treg\" lineage, which plays a key role in controlling immune and autoimmune responses, and is characterized by a unique transcriptional signature. We have performed a meta-analysis of this signature in Treg cells in several conditions to delineate the elements that can be ascribed to T cell activation, TGFbeta signaling, or Foxp3 itself. We find that these influences synergize to activate many of the signature’s components. Foxp3 and TGFbeta signaling have interconnected relationships, as Foxp3 is induced by TGFbeta while enhancing TGFbeta’s positive feedback loop. Much of the Treg signature cannot be ascribed to Foxp3, as it contains gene clusters that are co-regulated, but cannot be transactivated, by Foxp3. This suggests that the Treg lineage is specified at a higher level of regulation, upstream of Foxp3, which does control some of the lineage’s essential immunoregulatory attributes."}
{"STANDARD_NAME":"GSE7460_FOXP3_MUT_VS_HET_ACT_TCONV_DN","SYSTEMATIC_NAME":"M5707","ORGANISM":"Homo sapiens","PMID":"18024188","AUTHORS":"Buzzeo MP,Yang J,Casella G,Reddy V.","GEOID":"GSE7460","EXACT_SOURCE":"GSE7460_1340_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparsion of sfActCD4 versus WTActCD4 (see Fig. 1 in the paper for details).","DESCRIPTION_FULL":"The transcription factor Foxp3 is usually considered the master regulator for the CD4+CD25+ \"Treg\" lineage, which plays a key role in controlling immune and autoimmune responses, and is characterized by a unique transcriptional signature. We have performed a meta-analysis of this signature in Treg cells in several conditions to delineate the elements that can be ascribed to T cell activation, TGFbeta signaling, or Foxp3 itself. We find that these influences synergize to activate many of the signature’s components. Foxp3 and TGFbeta signaling have interconnected relationships, as Foxp3 is induced by TGFbeta while enhancing TGFbeta’s positive feedback loop. Much of the Treg signature cannot be ascribed to Foxp3, as it contains gene clusters that are co-regulated, but cannot be transactivated, by Foxp3. This suggests that the Treg lineage is specified at a higher level of regulation, upstream of Foxp3, which does control some of the lineage’s essential immunoregulatory attributes."}
{"STANDARD_NAME":"GSE7460_WT_VS_FOXP3_HET_ACT_TCONV_UP","SYSTEMATIC_NAME":"M5709","ORGANISM":"Homo sapiens","PMID":"18024188","AUTHORS":"Buzzeo MP,Yang J,Casella G,Reddy V.","GEOID":"GSE7460","EXACT_SOURCE":"GSE7460_1342_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of ActCD4 versus WTActCD4 (see Fig. 1 in the paper for details).","DESCRIPTION_FULL":"The transcription factor Foxp3 is usually considered the master regulator for the CD4+CD25+ \"Treg\" lineage, which plays a key role in controlling immune and autoimmune responses, and is characterized by a unique transcriptional signature. We have performed a meta-analysis of this signature in Treg cells in several conditions to delineate the elements that can be ascribed to T cell activation, TGFbeta signaling, or Foxp3 itself. We find that these influences synergize to activate many of the signature’s components. Foxp3 and TGFbeta signaling have interconnected relationships, as Foxp3 is induced by TGFbeta while enhancing TGFbeta’s positive feedback loop. Much of the Treg signature cannot be ascribed to Foxp3, as it contains gene clusters that are co-regulated, but cannot be transactivated, by Foxp3. This suggests that the Treg lineage is specified at a higher level of regulation, upstream of Foxp3, which does control some of the lineage’s essential immunoregulatory attributes."}
{"STANDARD_NAME":"GSE7460_WT_VS_FOXP3_HET_ACT_TCONV_DN","SYSTEMATIC_NAME":"M5710","ORGANISM":"Homo sapiens","PMID":"18024188","AUTHORS":"Buzzeo MP,Yang J,Casella G,Reddy V.","GEOID":"GSE7460","EXACT_SOURCE":"GSE7460_1342_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of ActCD4 versus WTActCD4 (see Fig. 1 in the paper for details).","DESCRIPTION_FULL":"The transcription factor Foxp3 is usually considered the master regulator for the CD4+CD25+ \"Treg\" lineage, which plays a key role in controlling immune and autoimmune responses, and is characterized by a unique transcriptional signature. We have performed a meta-analysis of this signature in Treg cells in several conditions to delineate the elements that can be ascribed to T cell activation, TGFbeta signaling, or Foxp3 itself. We find that these influences synergize to activate many of the signature’s components. Foxp3 and TGFbeta signaling have interconnected relationships, as Foxp3 is induced by TGFbeta while enhancing TGFbeta’s positive feedback loop. Much of the Treg signature cannot be ascribed to Foxp3, as it contains gene clusters that are co-regulated, but cannot be transactivated, by Foxp3. This suggests that the Treg lineage is specified at a higher level of regulation, upstream of Foxp3, which does control some of the lineage’s essential immunoregulatory attributes."}
{"STANDARD_NAME":"GSE7460_WT_VS_FOXP3_HET_ACT_WITH_TGFB_TCONV_UP","SYSTEMATIC_NAME":"M5711","ORGANISM":"Homo sapiens","PMID":"18024188","AUTHORS":"Buzzeo MP,Yang J,Casella G,Reddy V.","GEOID":"GSE7460","EXACT_SOURCE":"GSE7460_1343_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of ActCD4TGF versus WTActCD4TGF (see Fig. 1 in the paper for details).","DESCRIPTION_FULL":"The transcription factor Foxp3 is usually considered the master regulator for the CD4+CD25+ \"Treg\" lineage, which plays a key role in controlling immune and autoimmune responses, and is characterized by a unique transcriptional signature. We have performed a meta-analysis of this signature in Treg cells in several conditions to delineate the elements that can be ascribed to T cell activation, TGFbeta signaling, or Foxp3 itself. We find that these influences synergize to activate many of the signature’s components. Foxp3 and TGFbeta signaling have interconnected relationships, as Foxp3 is induced by TGFbeta while enhancing TGFbeta’s positive feedback loop. Much of the Treg signature cannot be ascribed to Foxp3, as it contains gene clusters that are co-regulated, but cannot be transactivated, by Foxp3. This suggests that the Treg lineage is specified at a higher level of regulation, upstream of Foxp3, which does control some of the lineage’s essential immunoregulatory attributes."}
{"STANDARD_NAME":"GSE7460_WT_VS_FOXP3_HET_ACT_WITH_TGFB_TCONV_DN","SYSTEMATIC_NAME":"M5712","ORGANISM":"Homo sapiens","PMID":"18024188","AUTHORS":"Buzzeo MP,Yang J,Casella G,Reddy V.","GEOID":"GSE7460","EXACT_SOURCE":"GSE7460_1343_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of ActCD4TGF versus WTActCD4TGF (see Fig. 1 in the paper for details).","DESCRIPTION_FULL":"The transcription factor Foxp3 is usually considered the master regulator for the CD4+CD25+ \"Treg\" lineage, which plays a key role in controlling immune and autoimmune responses, and is characterized by a unique transcriptional signature. We have performed a meta-analysis of this signature in Treg cells in several conditions to delineate the elements that can be ascribed to T cell activation, TGFbeta signaling, or Foxp3 itself. We find that these influences synergize to activate many of the signature’s components. Foxp3 and TGFbeta signaling have interconnected relationships, as Foxp3 is induced by TGFbeta while enhancing TGFbeta’s positive feedback loop. Much of the Treg signature cannot be ascribed to Foxp3, as it contains gene clusters that are co-regulated, but cannot be transactivated, by Foxp3. This suggests that the Treg lineage is specified at a higher level of regulation, upstream of Foxp3, which does control some of the lineage’s essential immunoregulatory attributes."}
{"STANDARD_NAME":"GSE7460_CTRL_VS_FOXP3_OVEREXPR_TCONV_UP","SYSTEMATIC_NAME":"M5713","ORGANISM":"Homo sapiens","PMID":"18024188","AUTHORS":"Buzzeo MP,Yang J,Casella G,Reddy V.","GEOID":"GSE7460","EXACT_SOURCE":"GSE7460_1344_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of Ctrlrv versus Foxp3rv (see Fig. 1 in the paper for details).","DESCRIPTION_FULL":"The transcription factor Foxp3 is usually considered the master regulator for the CD4+CD25+ \"Treg\" lineage, which plays a key role in controlling immune and autoimmune responses, and is characterized by a unique transcriptional signature. We have performed a meta-analysis of this signature in Treg cells in several conditions to delineate the elements that can be ascribed to T cell activation, TGFbeta signaling, or Foxp3 itself. We find that these influences synergize to activate many of the signature’s components. Foxp3 and TGFbeta signaling have interconnected relationships, as Foxp3 is induced by TGFbeta while enhancing TGFbeta’s positive feedback loop. Much of the Treg signature cannot be ascribed to Foxp3, as it contains gene clusters that are co-regulated, but cannot be transactivated, by Foxp3. This suggests that the Treg lineage is specified at a higher level of regulation, upstream of Foxp3, which does control some of the lineage’s essential immunoregulatory attributes."}
{"STANDARD_NAME":"GSE7460_CTRL_VS_FOXP3_OVEREXPR_TCONV_DN","SYSTEMATIC_NAME":"M5715","ORGANISM":"Homo sapiens","PMID":"18024188","AUTHORS":"Buzzeo MP,Yang J,Casella G,Reddy V.","GEOID":"GSE7460","EXACT_SOURCE":"GSE7460_1344_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of Ctrlrv versus Foxp3rv (see Fig. 1 in the paper for details).","DESCRIPTION_FULL":"The transcription factor Foxp3 is usually considered the master regulator for the CD4+CD25+ \"Treg\" lineage, which plays a key role in controlling immune and autoimmune responses, and is characterized by a unique transcriptional signature. We have performed a meta-analysis of this signature in Treg cells in several conditions to delineate the elements that can be ascribed to T cell activation, TGFbeta signaling, or Foxp3 itself. We find that these influences synergize to activate many of the signature’s components. Foxp3 and TGFbeta signaling have interconnected relationships, as Foxp3 is induced by TGFbeta while enhancing TGFbeta’s positive feedback loop. Much of the Treg signature cannot be ascribed to Foxp3, as it contains gene clusters that are co-regulated, but cannot be transactivated, by Foxp3. This suggests that the Treg lineage is specified at a higher level of regulation, upstream of Foxp3, which does control some of the lineage’s essential immunoregulatory attributes."}
{"STANDARD_NAME":"GSE7460_CTRL_VS_FOXP3_OVEREXPR_TCONV_1_UP","SYSTEMATIC_NAME":"M5716","ORGANISM":"Homo sapiens","PMID":"18024188","AUTHORS":"Buzzeo MP,Yang J,Casella G,Reddy V.","GEOID":"GSE7460","EXACT_SOURCE":"GSE7460_1345_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of CTRLrv versus FOXP3rv (see Fig. 1 for details).","DESCRIPTION_FULL":"The transcription factor Foxp3 is usually considered the master regulator for the CD4+CD25+ \"Treg\" lineage, which plays a key role in controlling immune and autoimmune responses, and is characterized by a unique transcriptional signature. We have performed a meta-analysis of this signature in Treg cells in several conditions to delineate the elements that can be ascribed to T cell activation, TGFbeta signaling, or Foxp3 itself. We find that these influences synergize to activate many of the signature’s components. Foxp3 and TGFbeta signaling have interconnected relationships, as Foxp3 is induced by TGFbeta while enhancing TGFbeta’s positive feedback loop. Much of the Treg signature cannot be ascribed to Foxp3, as it contains gene clusters that are co-regulated, but cannot be transactivated, by Foxp3. This suggests that the Treg lineage is specified at a higher level of regulation, upstream of Foxp3, which does control some of the lineage’s essential immunoregulatory attributes."}
{"STANDARD_NAME":"GSE7460_CTRL_VS_FOXP3_OVEREXPR_TCONV_1_DN","SYSTEMATIC_NAME":"M5719","ORGANISM":"Homo sapiens","PMID":"18024188","AUTHORS":"Buzzeo MP,Yang J,Casella G,Reddy V.","GEOID":"GSE7460","EXACT_SOURCE":"GSE7460_1345_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of CTRLrv versus FOXP3rv (see Fig. 1 for details).","DESCRIPTION_FULL":"The transcription factor Foxp3 is usually considered the master regulator for the CD4+CD25+ \"Treg\" lineage, which plays a key role in controlling immune and autoimmune responses, and is characterized by a unique transcriptional signature. We have performed a meta-analysis of this signature in Treg cells in several conditions to delineate the elements that can be ascribed to T cell activation, TGFbeta signaling, or Foxp3 itself. We find that these influences synergize to activate many of the signature’s components. Foxp3 and TGFbeta signaling have interconnected relationships, as Foxp3 is induced by TGFbeta while enhancing TGFbeta’s positive feedback loop. Much of the Treg signature cannot be ascribed to Foxp3, as it contains gene clusters that are co-regulated, but cannot be transactivated, by Foxp3. This suggests that the Treg lineage is specified at a higher level of regulation, upstream of Foxp3, which does control some of the lineage’s essential immunoregulatory attributes."}
{"STANDARD_NAME":"GSE7764_NKCELL_VS_SPLENOCYTE_UP","SYSTEMATIC_NAME":"M5720","ORGANISM":"Mus musculus","PMID":"17540585","AUTHORS":"Fehniger TA,Cai SF,Cao X,Bredemeyer AJ,Presti RM,French AR,Ley TJ.","GEOID":"GSE7764","EXACT_SOURCE":"GSE7764_1056_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of NK cells versus total splenocytes.","DESCRIPTION_FULL":"Murine NK cells were compared at rest and following 24 hours of IL-15 stimulation for their mRNA expression profiles on the Affymetrix MOE430_2 microarray platform. Additional comparators included resting bulk splenocytes."}
{"STANDARD_NAME":"GSE7764_NKCELL_VS_SPLENOCYTE_DN","SYSTEMATIC_NAME":"M5722","ORGANISM":"Mus musculus","PMID":"17540585","AUTHORS":"Fehniger TA,Cai SF,Cao X,Bredemeyer AJ,Presti RM,French AR,Ley TJ.","GEOID":"GSE7764","EXACT_SOURCE":"GSE7764_1056_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of NK cells versus total splenocytes.","DESCRIPTION_FULL":"Murine NK cells were compared at rest and following 24 hours of IL-15 stimulation for their mRNA expression profiles on the Affymetrix MOE430_2 microarray platform. Additional comparators included resting bulk splenocytes."}
{"STANDARD_NAME":"GSE7764_IL15_TREATED_VS_CTRL_NK_CELL_24H_UP","SYSTEMATIC_NAME":"M5723","ORGANISM":"Mus musculus","PMID":"17540585","AUTHORS":"Fehniger TA,Cai SF,Cao X,Bredemeyer AJ,Presti RM,French AR,Ley TJ.","GEOID":"GSE7764","EXACT_SOURCE":"GSE7764_1057_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of NK cells treated with IL15 [GeneID=3567] versus untreated NK cells.","DESCRIPTION_FULL":"Murine NK cells were compared at rest and following 24 hours of IL-15 stimulation for their mRNA expression profiles on the Affymetrix MOE430_2 microarray platform. Additional comparators included resting bulk splenocytes."}
{"STANDARD_NAME":"GSE7764_IL15_TREATED_VS_CTRL_NK_CELL_24H_DN","SYSTEMATIC_NAME":"M5724","ORGANISM":"Mus musculus","PMID":"17540585","AUTHORS":"Fehniger TA,Cai SF,Cao X,Bredemeyer AJ,Presti RM,French AR,Ley TJ.","GEOID":"GSE7764","EXACT_SOURCE":"GSE7764_1057_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of NK cells treated with IL15 [GeneID=3567] versus untreated NK cells.","DESCRIPTION_FULL":"Murine NK cells were compared at rest and following 24 hours of IL-15 stimulation for their mRNA expression profiles on the Affymetrix MOE430_2 microarray platform. Additional comparators included resting bulk splenocytes."}
{"STANDARD_NAME":"GSE7764_IL15_NK_CELL_24H_VS_SPLENOCYTE_UP","SYSTEMATIC_NAME":"M5725","ORGANISM":"Mus musculus","PMID":"17540585","AUTHORS":"Fehniger TA,Cai SF,Cao X,Bredemeyer AJ,Presti RM,French AR,Ley TJ.","GEOID":"GSE7764","EXACT_SOURCE":"GSE7764_1058_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of NK cells treated with IL15 [GeneID=3567] versus total splenocytes.","DESCRIPTION_FULL":"Murine NK cells were compared at rest and following 24 hours of IL-15 stimulation for their mRNA expression profiles on the Affymetrix MOE430_2 microarray platform. Additional comparators included resting bulk splenocytes."}
{"STANDARD_NAME":"GSE7764_IL15_NK_CELL_24H_VS_SPLENOCYTE_DN","SYSTEMATIC_NAME":"M5726","ORGANISM":"Mus musculus","PMID":"17540585","AUTHORS":"Fehniger TA,Cai SF,Cao X,Bredemeyer AJ,Presti RM,French AR,Ley TJ.","GEOID":"GSE7764","EXACT_SOURCE":"GSE7764_1058_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of NK cells treated with IL15 [GeneID=3567] versus total splenocytes.","DESCRIPTION_FULL":"Murine NK cells were compared at rest and following 24 hours of IL-15 stimulation for their mRNA expression profiles on the Affymetrix MOE430_2 microarray platform. Additional comparators included resting bulk splenocytes."}
{"STANDARD_NAME":"GSE7852_TREG_VS_TCONV_LN_UP","SYSTEMATIC_NAME":"M5727","ORGANISM":"Mus musculus","PMID":"19633656","AUTHORS":"Feuerer M,Herrero L,Cipolletta D,Naaz A,Wong J,Nayer A,Lee J,Goldfine AB,Benoist C,Shoelson S,Mathis D.","GEOID":"GSE7852","EXACT_SOURCE":"GSE7852_1492_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of lymph node regulatory T cells versus lymph node conventional T cells.","DESCRIPTION_FULL":"Comparisons of global gene-expression profiles revealed a greater distinction between CD4+ Treg cells and CD4+ conventional (Tconv) T cells residing in abdominal (epidydimal) fat versus in more standard locations such as the spleen, thymus and LN."}
{"STANDARD_NAME":"GSE7852_TREG_VS_TCONV_LN_DN","SYSTEMATIC_NAME":"M5729","ORGANISM":"Mus musculus","PMID":"19633656","AUTHORS":"Feuerer M,Herrero L,Cipolletta D,Naaz A,Wong J,Nayer A,Lee J,Goldfine AB,Benoist C,Shoelson S,Mathis D.","GEOID":"GSE7852","EXACT_SOURCE":"GSE7852_1492_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of lymph node regulatory T cells versus lymph node conventional T cells.","DESCRIPTION_FULL":"Comparisons of global gene-expression profiles revealed a greater distinction between CD4+ Treg cells and CD4+ conventional (Tconv) T cells residing in abdominal (epidydimal) fat versus in more standard locations such as the spleen, thymus and LN."}
{"STANDARD_NAME":"GSE7852_TREG_VS_TCONV_THYMUS_UP","SYSTEMATIC_NAME":"M5730","ORGANISM":"Mus musculus","PMID":"19633656","AUTHORS":"Feuerer M,Herrero L,Cipolletta D,Naaz A,Wong J,Nayer A,Lee J,Goldfine AB,Benoist C,Shoelson S,Mathis D.","GEOID":"GSE7852","EXACT_SOURCE":"GSE7852_1493_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of thymus regulatory T cells versus thymus conventional T cells.","DESCRIPTION_FULL":"Comparisons of global gene-expression profiles revealed a greater distinction between CD4+ Treg cells and CD4+ conventional (Tconv) T cells residing in abdominal (epidydimal) fat versus in more standard locations such as the spleen, thymus and LN."}
{"STANDARD_NAME":"GSE7852_TREG_VS_TCONV_THYMUS_DN","SYSTEMATIC_NAME":"M5732","ORGANISM":"Mus musculus","PMID":"19633656","AUTHORS":"Feuerer M,Herrero L,Cipolletta D,Naaz A,Wong J,Nayer A,Lee J,Goldfine AB,Benoist C,Shoelson S,Mathis D.","GEOID":"GSE7852","EXACT_SOURCE":"GSE7852_1493_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of thymus regulatory T cells versus thymus conventional T cells.","DESCRIPTION_FULL":"Comparisons of global gene-expression profiles revealed a greater distinction between CD4+ Treg cells and CD4+ conventional (Tconv) T cells residing in abdominal (epidydimal) fat versus in more standard locations such as the spleen, thymus and LN."}
{"STANDARD_NAME":"GSE7852_TREG_VS_TCONV_FAT_UP","SYSTEMATIC_NAME":"M5733","ORGANISM":"Mus musculus","PMID":"19633656","AUTHORS":"Feuerer M,Herrero L,Cipolletta D,Naaz A,Wong J,Nayer A,Lee J,Goldfine AB,Benoist C,Shoelson S,Mathis D.","GEOID":"GSE7852","EXACT_SOURCE":"GSE7852_1494_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of fat tissue regulatory T cells versus fat tissue conventional T cells.","DESCRIPTION_FULL":"Comparisons of global gene-expression profiles revealed a greater distinction between CD4+ Treg cells and CD4+ conventional (Tconv) T cells residing in abdominal (epidydimal) fat versus in more standard locations such as the spleen, thymus and LN."}
{"STANDARD_NAME":"GSE7852_TREG_VS_TCONV_FAT_DN","SYSTEMATIC_NAME":"M5735","ORGANISM":"Mus musculus","PMID":"19633656","AUTHORS":"Feuerer M,Herrero L,Cipolletta D,Naaz A,Wong J,Nayer A,Lee J,Goldfine AB,Benoist C,Shoelson S,Mathis D.","GEOID":"GSE7852","EXACT_SOURCE":"GSE7852_1494_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of fat tissue regulatory T cells versus fat tissue conventional T cells.","DESCRIPTION_FULL":"Comparisons of global gene-expression profiles revealed a greater distinction between CD4+ Treg cells and CD4+ conventional (Tconv) T cells residing in abdominal (epidydimal) fat versus in more standard locations such as the spleen, thymus and LN."}
{"STANDARD_NAME":"GSE7852_LN_VS_THYMUS_TREG_UP","SYSTEMATIC_NAME":"M5737","ORGANISM":"Mus musculus","PMID":"19633656","AUTHORS":"Feuerer M,Herrero L,Cipolletta D,Naaz A,Wong J,Nayer A,Lee J,Goldfine AB,Benoist C,Shoelson S,Mathis D.","GEOID":"GSE7852","EXACT_SOURCE":"GSE7852_1495_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of lymph node regulatory T cells versus thymus regulatory T cells.","DESCRIPTION_FULL":"Comparisons of global gene-expression profiles revealed a greater distinction between CD4+ Treg cells and CD4+ conventional (Tconv) T cells residing in abdominal (epidydimal) fat versus in more standard locations such as the spleen, thymus and LN."}
{"STANDARD_NAME":"GSE7852_LN_VS_THYMUS_TREG_DN","SYSTEMATIC_NAME":"M5738","ORGANISM":"Mus musculus","PMID":"19633656","AUTHORS":"Feuerer M,Herrero L,Cipolletta D,Naaz A,Wong J,Nayer A,Lee J,Goldfine AB,Benoist C,Shoelson S,Mathis D.","GEOID":"GSE7852","EXACT_SOURCE":"GSE7852_1495_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of lymph node regulatory T cells versus thymus regulatory T cells.","DESCRIPTION_FULL":"Comparisons of global gene-expression profiles revealed a greater distinction between CD4+ Treg cells and CD4+ conventional (Tconv) T cells residing in abdominal (epidydimal) fat versus in more standard locations such as the spleen, thymus and LN."}
{"STANDARD_NAME":"GSE7852_LN_VS_FAT_TREG_UP","SYSTEMATIC_NAME":"M5739","ORGANISM":"Mus musculus","PMID":"19633656","AUTHORS":"Feuerer M,Herrero L,Cipolletta D,Naaz A,Wong J,Nayer A,Lee J,Goldfine AB,Benoist C,Shoelson S,Mathis D.","GEOID":"GSE7852","EXACT_SOURCE":"GSE7852_1496_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of lymph node regulatory T cells versus fat tissue regulatory T cells.","DESCRIPTION_FULL":"Comparisons of global gene-expression profiles revealed a greater distinction between CD4+ Treg cells and CD4+ conventional (Tconv) T cells residing in abdominal (epidydimal) fat versus in more standard locations such as the spleen, thymus and LN."}
{"STANDARD_NAME":"GSE7852_LN_VS_FAT_TREG_DN","SYSTEMATIC_NAME":"M5742","ORGANISM":"Mus musculus","PMID":"19633656","AUTHORS":"Feuerer M,Herrero L,Cipolletta D,Naaz A,Wong J,Nayer A,Lee J,Goldfine AB,Benoist C,Shoelson S,Mathis D.","GEOID":"GSE7852","EXACT_SOURCE":"GSE7852_1496_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of lymph node regulatory T cells versus fat tissue regulatory T cells.","DESCRIPTION_FULL":"Comparisons of global gene-expression profiles revealed a greater distinction between CD4+ Treg cells and CD4+ conventional (Tconv) T cells residing in abdominal (epidydimal) fat versus in more standard locations such as the spleen, thymus and LN."}
{"STANDARD_NAME":"GSE7852_THYMUS_VS_FAT_TREG_UP","SYSTEMATIC_NAME":"M5743","ORGANISM":"Mus musculus","PMID":"19633656","AUTHORS":"Feuerer M,Herrero L,Cipolletta D,Naaz A,Wong J,Nayer A,Lee J,Goldfine AB,Benoist C,Shoelson S,Mathis D.","GEOID":"GSE7852","EXACT_SOURCE":"GSE7852_1497_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of thymus regulatory T cells versus fat tissue regulatory T cells.","DESCRIPTION_FULL":"Comparisons of global gene-expression profiles revealed a greater distinction between CD4+ Treg cells and CD4+ conventional (Tconv) T cells residing in abdominal (epidydimal) fat versus in more standard locations such as the spleen, thymus and LN."}
{"STANDARD_NAME":"GSE7852_THYMUS_VS_FAT_TREG_DN","SYSTEMATIC_NAME":"M5744","ORGANISM":"Mus musculus","PMID":"19633656","AUTHORS":"Feuerer M,Herrero L,Cipolletta D,Naaz A,Wong J,Nayer A,Lee J,Goldfine AB,Benoist C,Shoelson S,Mathis D.","GEOID":"GSE7852","EXACT_SOURCE":"GSE7852_1497_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of thymus regulatory T cells versus fat tissue regulatory T cells.","DESCRIPTION_FULL":"Comparisons of global gene-expression profiles revealed a greater distinction between CD4+ Treg cells and CD4+ conventional (Tconv) T cells residing in abdominal (epidydimal) fat versus in more standard locations such as the spleen, thymus and LN."}
{"STANDARD_NAME":"GSE7852_LN_VS_THYMUS_TCONV_UP","SYSTEMATIC_NAME":"M5745","ORGANISM":"Mus musculus","PMID":"19633656","AUTHORS":"Feuerer M,Herrero L,Cipolletta D,Naaz A,Wong J,Nayer A,Lee J,Goldfine AB,Benoist C,Shoelson S,Mathis D.","GEOID":"GSE7852","EXACT_SOURCE":"GSE7852_1498_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of lymph node conventional T cells versus thymus conventional T cells.","DESCRIPTION_FULL":"Comparisons of global gene-expression profiles revealed a greater distinction between CD4+ Treg cells and CD4+ conventional (Tconv) T cells residing in abdominal (epidydimal) fat versus in more standard locations such as the spleen, thymus and LN."}
{"STANDARD_NAME":"GSE7852_LN_VS_THYMUS_TCONV_DN","SYSTEMATIC_NAME":"M5746","ORGANISM":"Mus musculus","PMID":"19633656","AUTHORS":"Feuerer M,Herrero L,Cipolletta D,Naaz A,Wong J,Nayer A,Lee J,Goldfine AB,Benoist C,Shoelson S,Mathis D.","GEOID":"GSE7852","EXACT_SOURCE":"GSE7852_1498_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of lymph node conventional T cells versus thymus conventional T cells.","DESCRIPTION_FULL":"Comparisons of global gene-expression profiles revealed a greater distinction between CD4+ Treg cells and CD4+ conventional (Tconv) T cells residing in abdominal (epidydimal) fat versus in more standard locations such as the spleen, thymus and LN."}
{"STANDARD_NAME":"GSE7852_LN_VS_FAT_TCONV_UP","SYSTEMATIC_NAME":"M5747","ORGANISM":"Mus musculus","PMID":"19633656","AUTHORS":"Feuerer M,Herrero L,Cipolletta D,Naaz A,Wong J,Nayer A,Lee J,Goldfine AB,Benoist C,Shoelson S,Mathis D.","GEOID":"GSE7852","EXACT_SOURCE":"GSE7852_1499_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of lymph node conventional T cells versus fat tissue conventional T cells.","DESCRIPTION_FULL":"Comparisons of global gene-expression profiles revealed a greater distinction between CD4+ Treg cells and CD4+ conventional (Tconv) T cells residing in abdominal (epidydimal) fat versus in more standard locations such as the spleen, thymus and LN."}
{"STANDARD_NAME":"GSE7852_LN_VS_FAT_TCONV_DN","SYSTEMATIC_NAME":"M5748","ORGANISM":"Mus musculus","PMID":"19633656","AUTHORS":"Feuerer M,Herrero L,Cipolletta D,Naaz A,Wong J,Nayer A,Lee J,Goldfine AB,Benoist C,Shoelson S,Mathis D.","GEOID":"GSE7852","EXACT_SOURCE":"GSE7852_1499_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of lymph node conventional T cells versus fat tissue conventional T cells.","DESCRIPTION_FULL":"Comparisons of global gene-expression profiles revealed a greater distinction between CD4+ Treg cells and CD4+ conventional (Tconv) T cells residing in abdominal (epidydimal) fat versus in more standard locations such as the spleen, thymus and LN."}
{"STANDARD_NAME":"GSE7852_THYMUS_VS_FAT_TCONV_UP","SYSTEMATIC_NAME":"M5749","ORGANISM":"Mus musculus","PMID":"19633656","AUTHORS":"Feuerer M,Herrero L,Cipolletta D,Naaz A,Wong J,Nayer A,Lee J,Goldfine AB,Benoist C,Shoelson S,Mathis D.","GEOID":"GSE7852","EXACT_SOURCE":"GSE7852_1500_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of thymus conventional T cells versus fat tissue conventional T cells.","DESCRIPTION_FULL":"Comparisons of global gene-expression profiles revealed a greater distinction between CD4+ Treg cells and CD4+ conventional (Tconv) T cells residing in abdominal (epidydimal) fat versus in more standard locations such as the spleen, thymus and LN."}
{"STANDARD_NAME":"GSE7852_THYMUS_VS_FAT_TCONV_DN","SYSTEMATIC_NAME":"M5750","ORGANISM":"Mus musculus","PMID":"19633656","AUTHORS":"Feuerer M,Herrero L,Cipolletta D,Naaz A,Wong J,Nayer A,Lee J,Goldfine AB,Benoist C,Shoelson S,Mathis D.","GEOID":"GSE7852","EXACT_SOURCE":"GSE7852_1500_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of thymus conventional T cells versus fat tissue conventional T cells.","DESCRIPTION_FULL":"Comparisons of global gene-expression profiles revealed a greater distinction between CD4+ Treg cells and CD4+ conventional (Tconv) T cells residing in abdominal (epidydimal) fat versus in more standard locations such as the spleen, thymus and LN."}
{"STANDARD_NAME":"GSE7852_TREG_VS_TCONV_UP","SYSTEMATIC_NAME":"M5751","ORGANISM":"Mus musculus","PMID":"19633656","AUTHORS":"Feuerer M,Herrero L,Cipolletta D,Naaz A,Wong J,Nayer A,Lee J,Goldfine AB,Benoist C,Shoelson S,Mathis D.","GEOID":"GSE7852","EXACT_SOURCE":"GSE7852_1501_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of regulatory T cells versus conventional T cells.","DESCRIPTION_FULL":"Comparisons of global gene-expression profiles revealed a greater distinction between CD4+ Treg cells and CD4+ conventional (Tconv) T cells residing in abdominal (epidydimal) fat versus in more standard locations such as the spleen, thymus and LN."}
{"STANDARD_NAME":"GSE7852_TREG_VS_TCONV_DN","SYSTEMATIC_NAME":"M5752","ORGANISM":"Mus musculus","PMID":"19633656","AUTHORS":"Feuerer M,Herrero L,Cipolletta D,Naaz A,Wong J,Nayer A,Lee J,Goldfine AB,Benoist C,Shoelson S,Mathis D.","GEOID":"GSE7852","EXACT_SOURCE":"GSE7852_1501_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of regulatory T cells versus conventional T cells.","DESCRIPTION_FULL":"Comparisons of global gene-expression profiles revealed a greater distinction between CD4+ Treg cells and CD4+ conventional (Tconv) T cells residing in abdominal (epidydimal) fat versus in more standard locations such as the spleen, thymus and LN."}
{"STANDARD_NAME":"GSE8384_CTRL_VS_B_ABORTUS_4H_MAC_CELL_LINE_UP","SYSTEMATIC_NAME":"M5753","ORGANISM":"Mus musculus","PMID":"12595423","AUTHORS":"Eskra L,Mathison A,Splitter G.","GEOID":"GSE8384","EXACT_SOURCE":"GSE8384_1759_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of control RAW264.7 cells (macrophages) versus those infected with B. abortus.","DESCRIPTION_FULL":"Identification of host responses at the gene transcription level provides a molecular profile of the events that occur following infection. Brucella abortus is a facultative intracellular pathogen of macrophages that induces chronic infection in humans and domestic animals. Using microarray technology, the response of macrophages 4 hours following B. abortus infection was analyzed to identify early intracellular infection events that occur in macrophages. Of the more than 6,000 genes, we identified over 140 genes that were reproducibly differentially transcribed. First, an increase in the transcription of a number of pro-inflammatory cytokines and chemokines, such as TNF-α, IL-1β, IL-1α, and members of the SCY family of proteins, was evident that may constitute a general host recruitment of antibacterial defenses. Alternatively, Brucella may subvert newly arriving macrophages for additional intracellular infection. Second, transcription of receptors and cytokines associated with antigen presentation, e.g., MHC class II and IL-12p40, were not evident at this 4 hour period of infection. Third, Brucella inhibited transcription of various host genes involved in apoptosis, cell cycling, and intracellular vesicular trafficking. Identification of macrophage genes whose transcription was inhibited suggests that Brucella utilizes specific mechanisms to target certain cell pathways. In conclusion, these data suggest that B. abortus can alter macrophage pathways to recruit additional macrophages for future infection while simultaneously inhibiting apoptosis and innate immune mechanisms within the macrophage permitting intracellular survival of the bacterium. These results provide insights into the pathogenic strategies used by Brucella to survive long-term within a hostile environment."}
{"STANDARD_NAME":"GSE8384_CTRL_VS_B_ABORTUS_4H_MAC_CELL_LINE_DN","SYSTEMATIC_NAME":"M5758","ORGANISM":"Mus musculus","PMID":"12595423","AUTHORS":"Eskra L,Mathison A,Splitter G.","GEOID":"GSE8384","EXACT_SOURCE":"GSE8384_1759_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of control RAW264.7 cells (macrophages) versus those infected with B. abortus.","DESCRIPTION_FULL":"Identification of host responses at the gene transcription level provides a molecular profile of the events that occur following infection. Brucella abortus is a facultative intracellular pathogen of macrophages that induces chronic infection in humans and domestic animals. Using microarray technology, the response of macrophages 4 hours following B. abortus infection was analyzed to identify early intracellular infection events that occur in macrophages. Of the more than 6,000 genes, we identified over 140 genes that were reproducibly differentially transcribed. First, an increase in the transcription of a number of pro-inflammatory cytokines and chemokines, such as TNF-α, IL-1β, IL-1α, and members of the SCY family of proteins, was evident that may constitute a general host recruitment of antibacterial defenses. Alternatively, Brucella may subvert newly arriving macrophages for additional intracellular infection. Second, transcription of receptors and cytokines associated with antigen presentation, e.g., MHC class II and IL-12p40, were not evident at this 4 hour period of infection. Third, Brucella inhibited transcription of various host genes involved in apoptosis, cell cycling, and intracellular vesicular trafficking. Identification of macrophage genes whose transcription was inhibited suggests that Brucella utilizes specific mechanisms to target certain cell pathways. In conclusion, these data suggest that B. abortus can alter macrophage pathways to recruit additional macrophages for future infection while simultaneously inhibiting apoptosis and innate immune mechanisms within the macrophage permitting intracellular survival of the bacterium. These results provide insights into the pathogenic strategies used by Brucella to survive long-term within a hostile environment."}
{"STANDARD_NAME":"GSE8515_CTRL_VS_IL1_4H_STIM_MAC_UP","SYSTEMATIC_NAME":"M5759","ORGANISM":"Homo sapiens","PMID":"18498781","AUTHORS":"Jura J,Wegrzyn P,Korostyński M,Guzik K,Oczko-Wojciechowska M,Jarzab M,Kowalska M,Piechota M,Przewłocki R,Koj A","GEOID":"GSE8515","EXACT_SOURCE":"GSE8515_1721_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated macrophages versus those treated with IL1.","DESCRIPTION_FULL":"Using whole-genome Affymetrix microarrays (HG-U133A), we characterized the transcriptome profile of cultured human macrophages stimulated for 4 h with interleukin 1 (IL-1) or interleukin 6 (IL-6). We found that, in distinction to liver cells, IL-1 is much more potent than IL-6 in modifying macrophage gene expression, although considerable heterogeneity in response of macrophages deriving from individual blood donors was observed. The obtained results permitted to identify a large number of cytokine-responsive genes. coding for proteins of unknown function that are now being studied in our laboratory. They may represent novel targets in the anti-inflammatory therapy."}
{"STANDARD_NAME":"GSE8515_CTRL_VS_IL1_4H_STIM_MAC_DN","SYSTEMATIC_NAME":"M5760","ORGANISM":"Homo sapiens","PMID":"18498781","AUTHORS":"Jura J,Wegrzyn P,Korostyński M,Guzik K,Oczko-Wojciechowska M,Jarzab M,Kowalska M,Piechota M,Przewłocki R,Koj A","GEOID":"GSE8515","EXACT_SOURCE":"GSE8515_1721_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated macrophages versus those treated with IL1.","DESCRIPTION_FULL":"Using whole-genome Affymetrix microarrays (HG-U133A), we characterized the transcriptome profile of cultured human macrophages stimulated for 4 h with interleukin 1 (IL-1) or interleukin 6 (IL-6). We found that, in distinction to liver cells, IL-1 is much more potent than IL-6 in modifying macrophage gene expression, although considerable heterogeneity in response of macrophages deriving from individual blood donors was observed. The obtained results permitted to identify a large number of cytokine-responsive genes. coding for proteins of unknown function that are now being studied in our laboratory. They may represent novel targets in the anti-inflammatory therapy."}
{"STANDARD_NAME":"GSE8515_CTRL_VS_IL6_4H_STIM_MAC_UP","SYSTEMATIC_NAME":"M5763","ORGANISM":"Homo sapiens","PMID":"18498781","AUTHORS":"Jura J,Wegrzyn P,Korostyński M,Guzik K,Oczko-Wojciechowska M,Jarzab M,Kowalska M,Piechota M,Przewłocki R,Koj A","GEOID":"GSE8515","EXACT_SOURCE":"GSE8515_1722_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated macrophages versus those treated with IL6 [GeneID=3569].","DESCRIPTION_FULL":"Using whole-genome Affymetrix microarrays (HG-U133A), we characterized the transcriptome profile of cultured human macrophages stimulated for 4 h with interleukin 1 (IL-1) or interleukin 6 (IL-6). We found that, in distinction to liver cells, IL-1 is much more potent than IL-6 in modifying macrophage gene expression, although considerable heterogeneity in response of macrophages deriving from individual blood donors was observed. The obtained results permitted to identify a large number of cytokine-responsive genes. coding for proteins of unknown function that are now being studied in our laboratory. They may represent novel targets in the anti-inflammatory therapy."}
{"STANDARD_NAME":"GSE8515_CTRL_VS_IL6_4H_STIM_MAC_DN","SYSTEMATIC_NAME":"M5765","ORGANISM":"Homo sapiens","PMID":"18498781","AUTHORS":"Jura J,Wegrzyn P,Korostyński M,Guzik K,Oczko-Wojciechowska M,Jarzab M,Kowalska M,Piechota M,Przewłocki R,Koj A","GEOID":"GSE8515","EXACT_SOURCE":"GSE8515_1722_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated macrophages versus those treated with IL6 [GeneID=3569].","DESCRIPTION_FULL":"Using whole-genome Affymetrix microarrays (HG-U133A), we characterized the transcriptome profile of cultured human macrophages stimulated for 4 h with interleukin 1 (IL-1) or interleukin 6 (IL-6). We found that, in distinction to liver cells, IL-1 is much more potent than IL-6 in modifying macrophage gene expression, although considerable heterogeneity in response of macrophages deriving from individual blood donors was observed. The obtained results permitted to identify a large number of cytokine-responsive genes. coding for proteins of unknown function that are now being studied in our laboratory. They may represent novel targets in the anti-inflammatory therapy."}
{"STANDARD_NAME":"GSE8515_IL1_VS_IL6_4H_STIM_MAC_UP","SYSTEMATIC_NAME":"M5766","ORGANISM":"Homo sapiens","PMID":"18498781","AUTHORS":"Jura J,Wegrzyn P,Korostyński M,Guzik K,Oczko-Wojciechowska M,Jarzab M,Kowalska M,Piechota M,Przewłocki R,Koj A","GEOID":"GSE8515","EXACT_SOURCE":"GSE8515_1723_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated macrophages versus those treated with IL1 and IL6 [GeneID=3569].","DESCRIPTION_FULL":"Using whole-genome Affymetrix microarrays (HG-U133A), we characterized the transcriptome profile of cultured human macrophages stimulated for 4 h with interleukin 1 (IL-1) or interleukin 6 (IL-6). We found that, in distinction to liver cells, IL-1 is much more potent than IL-6 in modifying macrophage gene expression, although considerable heterogeneity in response of macrophages deriving from individual blood donors was observed. The obtained results permitted to identify a large number of cytokine-responsive genes. coding for proteins of unknown function that are now being studied in our laboratory. They may represent novel targets in the anti-inflammatory therapy."}
{"STANDARD_NAME":"GSE8515_IL1_VS_IL6_4H_STIM_MAC_DN","SYSTEMATIC_NAME":"M5767","ORGANISM":"Homo sapiens","PMID":"18498781","AUTHORS":"Jura J,Wegrzyn P,Korostyński M,Guzik K,Oczko-Wojciechowska M,Jarzab M,Kowalska M,Piechota M,Przewłocki R,Koj A","GEOID":"GSE8515","EXACT_SOURCE":"GSE8515_1723_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated macrophages versus those treated with IL1 and IL6 [GeneID=3569].","DESCRIPTION_FULL":"Using whole-genome Affymetrix microarrays (HG-U133A), we characterized the transcriptome profile of cultured human macrophages stimulated for 4 h with interleukin 1 (IL-1) or interleukin 6 (IL-6). We found that, in distinction to liver cells, IL-1 is much more potent than IL-6 in modifying macrophage gene expression, although considerable heterogeneity in response of macrophages deriving from individual blood donors was observed. The obtained results permitted to identify a large number of cytokine-responsive genes. coding for proteins of unknown function that are now being studied in our laboratory. They may represent novel targets in the anti-inflammatory therapy."}
{"STANDARD_NAME":"GSE8678_IL7R_LOW_VS_HIGH_EFF_CD8_TCELL_UP","SYSTEMATIC_NAME":"M5769","ORGANISM":"Mus musculus","PMID":"17723218","AUTHORS":"Joshi NS,Cui W,Chandele A,Lee HK,Urso DR,Hagman J,Gapin L,Kaech SM.","GEOID":"GSE8678","EXACT_SOURCE":"GSE8678_1059_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in IL7R [GeneID=3575] low effector CD8 T cells versus IL7R [GeneID=3575] high effector CD8 T cells.","DESCRIPTION_FULL":"At the peak of the CD8 T cell response to acture viral and bacterial infections, expression of the Interleukin-7 Receptor (IL-7R) marks Memory Precursor Effector CD8 T Cells (MPECs) from other Short-Lived Effector CD8 T cells (SLECs), which are IL-7Rlo. This study was designed to determine the gene expression differences between these two subsets of effector CD8 T cells."}
{"STANDARD_NAME":"GSE8678_IL7R_LOW_VS_HIGH_EFF_CD8_TCELL_DN","SYSTEMATIC_NAME":"M5771","ORGANISM":"Mus musculus","PMID":"17723218","AUTHORS":"Joshi NS,Cui W,Chandele A,Lee HK,Urso DR,Hagman J,Gapin L,Kaech SM.","GEOID":"GSE8678","EXACT_SOURCE":"GSE8678_1059_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in IL7R [GeneID=3575] low effector CD8 T cells versus IL7R [GeneID=3575] high effector CD8 T cells.","DESCRIPTION_FULL":"At the peak of the CD8 T cell response to acture viral and bacterial infections, expression of the Interleukin-7 Receptor (IL-7R) marks Memory Precursor Effector CD8 T Cells (MPECs) from other Short-Lived Effector CD8 T cells (SLECs), which are IL-7Rlo. This study was designed to determine the gene expression differences between these two subsets of effector CD8 T cells."}
{"STANDARD_NAME":"GSE8868_SPLEEN_VS_INTESTINE_CD11B_POS_CD11C_NEG_DC_UP","SYSTEMATIC_NAME":"M5772","ORGANISM":"Mus musculus","PMID":"17873879","AUTHORS":"Denning TL,Wang YC,Patel SR,Williams IR,Pulendran B.","GEOID":"GSE8868","EXACT_SOURCE":"GSE8868_1524_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in dendritic cells (DC) from spleen versus those from intestine.","DESCRIPTION_FULL":"The intestinal immune system must elicit robust immunity against harmful pathogens but restrain immune responses directed against commensal microbes and dietary antigens. The mechanisms that maintain this dichotomy are poorly understood. Here we describe a population of CD11b+F4/80+CD11c– macrophages in the lamina propria (LP) that express several anti-inflammatory molecules including interleukin 10 (IL-10), but little or no pro-inflammatory cytokines, even upon stimulation with Toll-like receptor (TLR) ligands. These macrophages induced, in a manner dependent on IL-10, retinoic acid and exogenous transforming growth factor-β, differentiation of FoxP3+ regulatory T cells. In contrast, LP CD11b+ dendritic cells elicited IL-17 production. This IL-17 production was suppressed by LP macrophages, indicating that a dynamic interplay between these subsets may influence the balance between immune activation and tolerance. Splenic or small intestine lamina propria CD11b+11c- cells were isolated for RNA extraction and hybridization on Affymetrix microarrays. We sought to determine the unique genetic profile of small intestine lamina propria CD11b+11c- cells."}
{"STANDARD_NAME":"GSE8868_SPLEEN_VS_INTESTINE_CD11B_POS_CD11C_NEG_DC_DN","SYSTEMATIC_NAME":"M5773","ORGANISM":"Mus musculus","PMID":"17873879","AUTHORS":"Denning TL,Wang YC,Patel SR,Williams IR,Pulendran B.","GEOID":"GSE8868","EXACT_SOURCE":"GSE8868_1524_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in dendritic cells (DC) from spleen versus those from intestine.","DESCRIPTION_FULL":"The intestinal immune system must elicit robust immunity against harmful pathogens but restrain immune responses directed against commensal microbes and dietary antigens. The mechanisms that maintain this dichotomy are poorly understood. Here we describe a population of CD11b+F4/80+CD11c– macrophages in the lamina propria (LP) that express several anti-inflammatory molecules including interleukin 10 (IL-10), but little or no pro-inflammatory cytokines, even upon stimulation with Toll-like receptor (TLR) ligands. These macrophages induced, in a manner dependent on IL-10, retinoic acid and exogenous transforming growth factor-β, differentiation of FoxP3+ regulatory T cells. In contrast, LP CD11b+ dendritic cells elicited IL-17 production. This IL-17 production was suppressed by LP macrophages, indicating that a dynamic interplay between these subsets may influence the balance between immune activation and tolerance. Splenic or small intestine lamina propria CD11b+11c- cells were isolated for RNA extraction and hybridization on Affymetrix microarrays. We sought to determine the unique genetic profile of small intestine lamina propria CD11b+11c- cells."}
{"STANDARD_NAME":"GSE9006_HEALTHY_VS_TYPE_1_DIABETES_PBMC_AT_DX_UP","SYSTEMATIC_NAME":"M5774","ORGANISM":"Homo sapiens","PMID":"17595242","AUTHORS":"Kaizer EC,Glaser CL,Chaussabel D,Banchereau J,Pascual V,White PC.","GEOID":"GSE9006","EXACT_SOURCE":"GSE9006_2237_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of peripheral blood mononuclear cells (PBMC) from healthy donors versus PBMCs from patients with type 1 diabetes at the time of diagnosis.","DESCRIPTION_FULL":"Objective: We hypothesized that type 1 diabetes (T1D) is accompanied by changes in gene expression in peripheral blood mononuclear cells (PBMCs) due to dysregulation of adaptive and innate immunity, counterregulatory responses to immune dysregulation, insulin deficiency and hyperglycemia. Research Design and Methods: Microarray analysis was performed on PBMCs from 43 patients with newly diagnosed T1D, 12 patients with newly diagnosed type 2 diabetes (T2D) and 24 healthy controls. One and four month follow-up samples were obtained from 20 of the T1D patients. Results: Microarray analysis identified 282 genes differing in expression between newlydiagnosed T1D patients and controls at a false discovery rate of 0.05. Changes in expression of interleukin-1β (IL1B), early growth response gene 3 (EGR3), and prostaglandin-endoperoxide synthase 2 (PTGS2) resolved within four months of insulin therapy and were also observed in T2D suggesting that they resulted from hyperglycemia. With use of a knowledge base, 81/282 genes could be placed within a network of interrelated genes with predicted functions including apoptosis and cell proliferation. IL1B and the MYC oncogene were the most highly-connected genes in the network. IL1B was highly overexpressed in both T1D and T2D, whereas MYC was dysregulated only in T1D. Conclusion: T1D and T2D likely share a final common pathway for beta cell dysfunction that includes secretion of interleukin-1β and prostaglandins by immune effector cells, exacerbating existing beta cell dysfunction, and causing further hyperglycemia. The results identify several targets for disease-modifying therapy of diabetes and potential biomarkers for monitoring treatment efficacy."}
{"STANDARD_NAME":"GSE9006_HEALTHY_VS_TYPE_1_DIABETES_PBMC_AT_DX_DN","SYSTEMATIC_NAME":"M5776","ORGANISM":"Homo sapiens","PMID":"17595242","AUTHORS":"Kaizer EC,Glaser CL,Chaussabel D,Banchereau J,Pascual V,White PC.","GEOID":"GSE9006","EXACT_SOURCE":"GSE9006_2237_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of peripheral blood mononuclear cells (PBMC) from healthy donors versus PBMCs from patients with type 1 diabetes at the time of diagnosis.","DESCRIPTION_FULL":"Objective: We hypothesized that type 1 diabetes (T1D) is accompanied by changes in gene expression in peripheral blood mononuclear cells (PBMCs) due to dysregulation of adaptive and innate immunity, counterregulatory responses to immune dysregulation, insulin deficiency and hyperglycemia. Research Design and Methods: Microarray analysis was performed on PBMCs from 43 patients with newly diagnosed T1D, 12 patients with newly diagnosed type 2 diabetes (T2D) and 24 healthy controls. One and four month follow-up samples were obtained from 20 of the T1D patients. Results: Microarray analysis identified 282 genes differing in expression between newlydiagnosed T1D patients and controls at a false discovery rate of 0.05. Changes in expression of interleukin-1β (IL1B), early growth response gene 3 (EGR3), and prostaglandin-endoperoxide synthase 2 (PTGS2) resolved within four months of insulin therapy and were also observed in T2D suggesting that they resulted from hyperglycemia. With use of a knowledge base, 81/282 genes could be placed within a network of interrelated genes with predicted functions including apoptosis and cell proliferation. IL1B and the MYC oncogene were the most highly-connected genes in the network. IL1B was highly overexpressed in both T1D and T2D, whereas MYC was dysregulated only in T1D. Conclusion: T1D and T2D likely share a final common pathway for beta cell dysfunction that includes secretion of interleukin-1β and prostaglandins by immune effector cells, exacerbating existing beta cell dysfunction, and causing further hyperglycemia. The results identify several targets for disease-modifying therapy of diabetes and potential biomarkers for monitoring treatment efficacy."}
{"STANDARD_NAME":"GSE9006_HEALTHY_VS_TYPE_1_DIABETES_PBMC_1MONTH_POST_DX_UP","SYSTEMATIC_NAME":"M5777","ORGANISM":"Homo sapiens","PMID":"17595242","AUTHORS":"Kaizer EC,Glaser CL,Chaussabel D,Banchereau J,Pascual V,White PC.","GEOID":"GSE9006","EXACT_SOURCE":"GSE9006_2238_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of peripheral blood mononuclear cells (PBMC) from healthy donors versus PBMCs from patients with type 1 diabetes at 1 month after the diagnosis.","DESCRIPTION_FULL":"Objective: We hypothesized that type 1 diabetes (T1D) is accompanied by changes in gene expression in peripheral blood mononuclear cells (PBMCs) due to dysregulation of adaptive and innate immunity, counterregulatory responses to immune dysregulation, insulin deficiency and hyperglycemia. Research Design and Methods: Microarray analysis was performed on PBMCs from 43 patients with newly diagnosed T1D, 12 patients with newly diagnosed type 2 diabetes (T2D) and 24 healthy controls. One and four month follow-up samples were obtained from 20 of the T1D patients. Results: Microarray analysis identified 282 genes differing in expression between newlydiagnosed T1D patients and controls at a false discovery rate of 0.05. Changes in expression of interleukin-1β (IL1B), early growth response gene 3 (EGR3), and prostaglandin-endoperoxide synthase 2 (PTGS2) resolved within four months of insulin therapy and were also observed in T2D suggesting that they resulted from hyperglycemia. With use of a knowledge base, 81/282 genes could be placed within a network of interrelated genes with predicted functions including apoptosis and cell proliferation. IL1B and the MYC oncogene were the most highly-connected genes in the network. IL1B was highly overexpressed in both T1D and T2D, whereas MYC was dysregulated only in T1D. Conclusion: T1D and T2D likely share a final common pathway for beta cell dysfunction that includes secretion of interleukin-1β and prostaglandins by immune effector cells, exacerbating existing beta cell dysfunction, and causing further hyperglycemia. The results identify several targets for disease-modifying therapy of diabetes and potential biomarkers for monitoring treatment efficacy."}
{"STANDARD_NAME":"GSE9006_HEALTHY_VS_TYPE_1_DIABETES_PBMC_1MONTH_POST_DX_DN","SYSTEMATIC_NAME":"M5778","ORGANISM":"Homo sapiens","PMID":"17595242","AUTHORS":"Kaizer EC,Glaser CL,Chaussabel D,Banchereau J,Pascual V,White PC.","GEOID":"GSE9006","EXACT_SOURCE":"GSE9006_2238_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of peripheral blood mononuclear cells (PBMC) from healthy donors versus PBMCs from patients with type 1 diabetes at 1 month after the diagnosis.","DESCRIPTION_FULL":"Objective: We hypothesized that type 1 diabetes (T1D) is accompanied by changes in gene expression in peripheral blood mononuclear cells (PBMCs) due to dysregulation of adaptive and innate immunity, counterregulatory responses to immune dysregulation, insulin deficiency and hyperglycemia. Research Design and Methods: Microarray analysis was performed on PBMCs from 43 patients with newly diagnosed T1D, 12 patients with newly diagnosed type 2 diabetes (T2D) and 24 healthy controls. One and four month follow-up samples were obtained from 20 of the T1D patients. Results: Microarray analysis identified 282 genes differing in expression between newlydiagnosed T1D patients and controls at a false discovery rate of 0.05. Changes in expression of interleukin-1β (IL1B), early growth response gene 3 (EGR3), and prostaglandin-endoperoxide synthase 2 (PTGS2) resolved within four months of insulin therapy and were also observed in T2D suggesting that they resulted from hyperglycemia. With use of a knowledge base, 81/282 genes could be placed within a network of interrelated genes with predicted functions including apoptosis and cell proliferation. IL1B and the MYC oncogene were the most highly-connected genes in the network. IL1B was highly overexpressed in both T1D and T2D, whereas MYC was dysregulated only in T1D. Conclusion: T1D and T2D likely share a final common pathway for beta cell dysfunction that includes secretion of interleukin-1β and prostaglandins by immune effector cells, exacerbating existing beta cell dysfunction, and causing further hyperglycemia. The results identify several targets for disease-modifying therapy of diabetes and potential biomarkers for monitoring treatment efficacy."}
{"STANDARD_NAME":"GSE9006_HEALTHY_VS_TYPE_1_DIABETES_PBMC_4MONTH_POST_DX_UP","SYSTEMATIC_NAME":"M5779","ORGANISM":"Homo sapiens","PMID":"17595242","AUTHORS":"Kaizer EC,Glaser CL,Chaussabel D,Banchereau J,Pascual V,White PC.","GEOID":"GSE9006","EXACT_SOURCE":"GSE9006_2239_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of peripheral blood mononuclear cells (PBMC) from healthy donors versus PBMCs from patients with type 1 diabetes at 4 month after the diagnosis.","DESCRIPTION_FULL":"Objective: We hypothesized that type 1 diabetes (T1D) is accompanied by changes in gene expression in peripheral blood mononuclear cells (PBMCs) due to dysregulation of adaptive and innate immunity, counterregulatory responses to immune dysregulation, insulin deficiency and hyperglycemia. Research Design and Methods: Microarray analysis was performed on PBMCs from 43 patients with newly diagnosed T1D, 12 patients with newly diagnosed type 2 diabetes (T2D) and 24 healthy controls. One and four month follow-up samples were obtained from 20 of the T1D patients. Results: Microarray analysis identified 282 genes differing in expression between newlydiagnosed T1D patients and controls at a false discovery rate of 0.05. Changes in expression of interleukin-1β (IL1B), early growth response gene 3 (EGR3), and prostaglandin-endoperoxide synthase 2 (PTGS2) resolved within four months of insulin therapy and were also observed in T2D suggesting that they resulted from hyperglycemia. With use of a knowledge base, 81/282 genes could be placed within a network of interrelated genes with predicted functions including apoptosis and cell proliferation. IL1B and the MYC oncogene were the most highly-connected genes in the network. IL1B was highly overexpressed in both T1D and T2D, whereas MYC was dysregulated only in T1D. Conclusion: T1D and T2D likely share a final common pathway for beta cell dysfunction that includes secretion of interleukin-1β and prostaglandins by immune effector cells, exacerbating existing beta cell dysfunction, and causing further hyperglycemia. The results identify several targets for disease-modifying therapy of diabetes and potential biomarkers for monitoring treatment efficacy."}
{"STANDARD_NAME":"GSE9006_HEALTHY_VS_TYPE_1_DIABETES_PBMC_4MONTH_POST_DX_DN","SYSTEMATIC_NAME":"M5780","ORGANISM":"Homo sapiens","PMID":"17595242","AUTHORS":"Kaizer EC,Glaser CL,Chaussabel D,Banchereau J,Pascual V,White PC.","GEOID":"GSE9006","EXACT_SOURCE":"GSE9006_2239_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of peripheral blood mononuclear cells (PBMC) from healthy donors versus PBMCs from patients with type 1 diabetes at 4 month after the diagnosis.","DESCRIPTION_FULL":"Objective: We hypothesized that type 1 diabetes (T1D) is accompanied by changes in gene expression in peripheral blood mononuclear cells (PBMCs) due to dysregulation of adaptive and innate immunity, counterregulatory responses to immune dysregulation, insulin deficiency and hyperglycemia. Research Design and Methods: Microarray analysis was performed on PBMCs from 43 patients with newly diagnosed T1D, 12 patients with newly diagnosed type 2 diabetes (T2D) and 24 healthy controls. One and four month follow-up samples were obtained from 20 of the T1D patients. Results: Microarray analysis identified 282 genes differing in expression between newlydiagnosed T1D patients and controls at a false discovery rate of 0.05. Changes in expression of interleukin-1β (IL1B), early growth response gene 3 (EGR3), and prostaglandin-endoperoxide synthase 2 (PTGS2) resolved within four months of insulin therapy and were also observed in T2D suggesting that they resulted from hyperglycemia. With use of a knowledge base, 81/282 genes could be placed within a network of interrelated genes with predicted functions including apoptosis and cell proliferation. IL1B and the MYC oncogene were the most highly-connected genes in the network. IL1B was highly overexpressed in both T1D and T2D, whereas MYC was dysregulated only in T1D. Conclusion: T1D and T2D likely share a final common pathway for beta cell dysfunction that includes secretion of interleukin-1β and prostaglandins by immune effector cells, exacerbating existing beta cell dysfunction, and causing further hyperglycemia. The results identify several targets for disease-modifying therapy of diabetes and potential biomarkers for monitoring treatment efficacy."}
{"STANDARD_NAME":"GSE9006_HEALTHY_VS_TYPE_2_DIABETES_PBMC_AT_DX_UP","SYSTEMATIC_NAME":"M5781","ORGANISM":"Homo sapiens","PMID":"17595242","AUTHORS":"Kaizer EC,Glaser CL,Chaussabel D,Banchereau J,Pascual V,White PC.","GEOID":"GSE9006","EXACT_SOURCE":"GSE9006_2240_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of peripheral blood mononuclear cells (PBMC) from healthy donors versus PBMCs from patients with type 2 diabetes at the time of diagnosis.","DESCRIPTION_FULL":"Objective: We hypothesized that type 1 diabetes (T1D) is accompanied by changes in gene expression in peripheral blood mononuclear cells (PBMCs) due to dysregulation of adaptive and innate immunity, counterregulatory responses to immune dysregulation, insulin deficiency and hyperglycemia. Research Design and Methods: Microarray analysis was performed on PBMCs from 43 patients with newly diagnosed T1D, 12 patients with newly diagnosed type 2 diabetes (T2D) and 24 healthy controls. One and four month follow-up samples were obtained from 20 of the T1D patients. Results: Microarray analysis identified 282 genes differing in expression between newlydiagnosed T1D patients and controls at a false discovery rate of 0.05. Changes in expression of interleukin-1β (IL1B), early growth response gene 3 (EGR3), and prostaglandin-endoperoxide synthase 2 (PTGS2) resolved within four months of insulin therapy and were also observed in T2D suggesting that they resulted from hyperglycemia. With use of a knowledge base, 81/282 genes could be placed within a network of interrelated genes with predicted functions including apoptosis and cell proliferation. IL1B and the MYC oncogene were the most highly-connected genes in the network. IL1B was highly overexpressed in both T1D and T2D, whereas MYC was dysregulated only in T1D. Conclusion: T1D and T2D likely share a final common pathway for beta cell dysfunction that includes secretion of interleukin-1β and prostaglandins by immune effector cells, exacerbating existing beta cell dysfunction, and causing further hyperglycemia. The results identify several targets for disease-modifying therapy of diabetes and potential biomarkers for monitoring treatment efficacy."}
{"STANDARD_NAME":"GSE9006_HEALTHY_VS_TYPE_2_DIABETES_PBMC_AT_DX_DN","SYSTEMATIC_NAME":"M5782","ORGANISM":"Homo sapiens","PMID":"17595242","AUTHORS":"Kaizer EC,Glaser CL,Chaussabel D,Banchereau J,Pascual V,White PC.","GEOID":"GSE9006","EXACT_SOURCE":"GSE9006_2240_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of peripheral blood mononuclear cells (PBMC) from healthy donors versus PBMCs from patients with type 2 diabetes at the time of diagnosis.","DESCRIPTION_FULL":"Objective: We hypothesized that type 1 diabetes (T1D) is accompanied by changes in gene expression in peripheral blood mononuclear cells (PBMCs) due to dysregulation of adaptive and innate immunity, counterregulatory responses to immune dysregulation, insulin deficiency and hyperglycemia. Research Design and Methods: Microarray analysis was performed on PBMCs from 43 patients with newly diagnosed T1D, 12 patients with newly diagnosed type 2 diabetes (T2D) and 24 healthy controls. One and four month follow-up samples were obtained from 20 of the T1D patients. Results: Microarray analysis identified 282 genes differing in expression between newlydiagnosed T1D patients and controls at a false discovery rate of 0.05. Changes in expression of interleukin-1β (IL1B), early growth response gene 3 (EGR3), and prostaglandin-endoperoxide synthase 2 (PTGS2) resolved within four months of insulin therapy and were also observed in T2D suggesting that they resulted from hyperglycemia. With use of a knowledge base, 81/282 genes could be placed within a network of interrelated genes with predicted functions including apoptosis and cell proliferation. IL1B and the MYC oncogene were the most highly-connected genes in the network. IL1B was highly overexpressed in both T1D and T2D, whereas MYC was dysregulated only in T1D. Conclusion: T1D and T2D likely share a final common pathway for beta cell dysfunction that includes secretion of interleukin-1β and prostaglandins by immune effector cells, exacerbating existing beta cell dysfunction, and causing further hyperglycemia. The results identify several targets for disease-modifying therapy of diabetes and potential biomarkers for monitoring treatment efficacy."}
{"STANDARD_NAME":"GSE9006_TYPE_1_DIABETES_AT_DX_VS_1MONTH_POST_DX_PBMC_UP","SYSTEMATIC_NAME":"M5783","ORGANISM":"Homo sapiens","PMID":"17595242","AUTHORS":"Kaizer EC,Glaser CL,Chaussabel D,Banchereau J,Pascual V,White PC.","GEOID":"GSE9006","EXACT_SOURCE":"GSE9006_2241_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of peripheral blood mononuclear cells (PBMC) from patients with type 1 diabetes at the time of the diagnosis versus those at 1 month later.","DESCRIPTION_FULL":"Objective: We hypothesized that type 1 diabetes (T1D) is accompanied by changes in gene expression in peripheral blood mononuclear cells (PBMCs) due to dysregulation of adaptive and innate immunity, counterregulatory responses to immune dysregulation, insulin deficiency and hyperglycemia. Research Design and Methods: Microarray analysis was performed on PBMCs from 43 patients with newly diagnosed T1D, 12 patients with newly diagnosed type 2 diabetes (T2D) and 24 healthy controls. One and four month follow-up samples were obtained from 20 of the T1D patients. Results: Microarray analysis identified 282 genes differing in expression between newlydiagnosed T1D patients and controls at a false discovery rate of 0.05. Changes in expression of interleukin-1β (IL1B), early growth response gene 3 (EGR3), and prostaglandin-endoperoxide synthase 2 (PTGS2) resolved within four months of insulin therapy and were also observed in T2D suggesting that they resulted from hyperglycemia. With use of a knowledge base, 81/282 genes could be placed within a network of interrelated genes with predicted functions including apoptosis and cell proliferation. IL1B and the MYC oncogene were the most highly-connected genes in the network. IL1B was highly overexpressed in both T1D and T2D, whereas MYC was dysregulated only in T1D. Conclusion: T1D and T2D likely share a final common pathway for beta cell dysfunction that includes secretion of interleukin-1β and prostaglandins by immune effector cells, exacerbating existing beta cell dysfunction, and causing further hyperglycemia. The results identify several targets for disease-modifying therapy of diabetes and potential biomarkers for monitoring treatment efficacy."}
{"STANDARD_NAME":"GSE9006_TYPE_1_DIABETES_AT_DX_VS_1MONTH_POST_DX_PBMC_DN","SYSTEMATIC_NAME":"M5786","ORGANISM":"Homo sapiens","PMID":"17595242","AUTHORS":"Kaizer EC,Glaser CL,Chaussabel D,Banchereau J,Pascual V,White PC.","GEOID":"GSE9006","EXACT_SOURCE":"GSE9006_2241_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of peripheral blood mononuclear cells (PBMC) from patients with type 1 diabetes at the time of the diagnosis versus those at 1 month later.","DESCRIPTION_FULL":"Objective: We hypothesized that type 1 diabetes (T1D) is accompanied by changes in gene expression in peripheral blood mononuclear cells (PBMCs) due to dysregulation of adaptive and innate immunity, counterregulatory responses to immune dysregulation, insulin deficiency and hyperglycemia. Research Design and Methods: Microarray analysis was performed on PBMCs from 43 patients with newly diagnosed T1D, 12 patients with newly diagnosed type 2 diabetes (T2D) and 24 healthy controls. One and four month follow-up samples were obtained from 20 of the T1D patients. Results: Microarray analysis identified 282 genes differing in expression between newlydiagnosed T1D patients and controls at a false discovery rate of 0.05. Changes in expression of interleukin-1β (IL1B), early growth response gene 3 (EGR3), and prostaglandin-endoperoxide synthase 2 (PTGS2) resolved within four months of insulin therapy and were also observed in T2D suggesting that they resulted from hyperglycemia. With use of a knowledge base, 81/282 genes could be placed within a network of interrelated genes with predicted functions including apoptosis and cell proliferation. IL1B and the MYC oncogene were the most highly-connected genes in the network. IL1B was highly overexpressed in both T1D and T2D, whereas MYC was dysregulated only in T1D. Conclusion: T1D and T2D likely share a final common pathway for beta cell dysfunction that includes secretion of interleukin-1β and prostaglandins by immune effector cells, exacerbating existing beta cell dysfunction, and causing further hyperglycemia. The results identify several targets for disease-modifying therapy of diabetes and potential biomarkers for monitoring treatment efficacy."}
{"STANDARD_NAME":"GSE9006_TYPE_1_DIABETES_AT_DX_VS_4MONTH_POST_DX_PBMC_UP","SYSTEMATIC_NAME":"M5787","ORGANISM":"Homo sapiens","PMID":"17595242","AUTHORS":"Kaizer EC,Glaser CL,Chaussabel D,Banchereau J,Pascual V,White PC.","GEOID":"GSE9006","EXACT_SOURCE":"GSE9006_2242_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of peripheral blood mononuclear cells (PBMC) from patients with type 1 diabetes at the time of the diagnosis versus those at 4 months later.","DESCRIPTION_FULL":"Objective: We hypothesized that type 1 diabetes (T1D) is accompanied by changes in gene expression in peripheral blood mononuclear cells (PBMCs) due to dysregulation of adaptive and innate immunity, counterregulatory responses to immune dysregulation, insulin deficiency and hyperglycemia. Research Design and Methods: Microarray analysis was performed on PBMCs from 43 patients with newly diagnosed T1D, 12 patients with newly diagnosed type 2 diabetes (T2D) and 24 healthy controls. One and four month follow-up samples were obtained from 20 of the T1D patients. Results: Microarray analysis identified 282 genes differing in expression between newlydiagnosed T1D patients and controls at a false discovery rate of 0.05. Changes in expression of interleukin-1β (IL1B), early growth response gene 3 (EGR3), and prostaglandin-endoperoxide synthase 2 (PTGS2) resolved within four months of insulin therapy and were also observed in T2D suggesting that they resulted from hyperglycemia. With use of a knowledge base, 81/282 genes could be placed within a network of interrelated genes with predicted functions including apoptosis and cell proliferation. IL1B and the MYC oncogene were the most highly-connected genes in the network. IL1B was highly overexpressed in both T1D and T2D, whereas MYC was dysregulated only in T1D. Conclusion: T1D and T2D likely share a final common pathway for beta cell dysfunction that includes secretion of interleukin-1β and prostaglandins by immune effector cells, exacerbating existing beta cell dysfunction, and causing further hyperglycemia. The results identify several targets for disease-modifying therapy of diabetes and potential biomarkers for monitoring treatment efficacy."}
{"STANDARD_NAME":"GSE9006_TYPE_1_DIABETES_AT_DX_VS_4MONTH_POST_DX_PBMC_DN","SYSTEMATIC_NAME":"M5788","ORGANISM":"Homo sapiens","PMID":"17595242","AUTHORS":"Kaizer EC,Glaser CL,Chaussabel D,Banchereau J,Pascual V,White PC.","GEOID":"GSE9006","EXACT_SOURCE":"GSE9006_2242_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of peripheral blood mononuclear cells (PBMC) from patients with type 1 diabetes at the time of the diagnosis versus those at 4 months later.","DESCRIPTION_FULL":"Objective: We hypothesized that type 1 diabetes (T1D) is accompanied by changes in gene expression in peripheral blood mononuclear cells (PBMCs) due to dysregulation of adaptive and innate immunity, counterregulatory responses to immune dysregulation, insulin deficiency and hyperglycemia. Research Design and Methods: Microarray analysis was performed on PBMCs from 43 patients with newly diagnosed T1D, 12 patients with newly diagnosed type 2 diabetes (T2D) and 24 healthy controls. One and four month follow-up samples were obtained from 20 of the T1D patients. Results: Microarray analysis identified 282 genes differing in expression between newlydiagnosed T1D patients and controls at a false discovery rate of 0.05. Changes in expression of interleukin-1β (IL1B), early growth response gene 3 (EGR3), and prostaglandin-endoperoxide synthase 2 (PTGS2) resolved within four months of insulin therapy and were also observed in T2D suggesting that they resulted from hyperglycemia. With use of a knowledge base, 81/282 genes could be placed within a network of interrelated genes with predicted functions including apoptosis and cell proliferation. IL1B and the MYC oncogene were the most highly-connected genes in the network. IL1B was highly overexpressed in both T1D and T2D, whereas MYC was dysregulated only in T1D. Conclusion: T1D and T2D likely share a final common pathway for beta cell dysfunction that includes secretion of interleukin-1β and prostaglandins by immune effector cells, exacerbating existing beta cell dysfunction, and causing further hyperglycemia. The results identify several targets for disease-modifying therapy of diabetes and potential biomarkers for monitoring treatment efficacy."}
{"STANDARD_NAME":"GSE9006_1MONTH_VS_4MONTH_POST_TYPE_1_DIABETES_DX_PBMC_UP","SYSTEMATIC_NAME":"M5790","ORGANISM":"Homo sapiens","PMID":"17595242","AUTHORS":"Kaizer EC,Glaser CL,Chaussabel D,Banchereau J,Pascual V,White PC.","GEOID":"GSE9006","EXACT_SOURCE":"GSE9006_2243_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of peripheral blood mononuclear cells (PBMC) from patients with type 1 diabetes at 1 month after the diagnosis versus those at 4 months later.","DESCRIPTION_FULL":"Objective: We hypothesized that type 1 diabetes (T1D) is accompanied by changes in gene expression in peripheral blood mononuclear cells (PBMCs) due to dysregulation of adaptive and innate immunity, counterregulatory responses to immune dysregulation, insulin deficiency and hyperglycemia. Research Design and Methods: Microarray analysis was performed on PBMCs from 43 patients with newly diagnosed T1D, 12 patients with newly diagnosed type 2 diabetes (T2D) and 24 healthy controls. One and four month follow-up samples were obtained from 20 of the T1D patients. Results: Microarray analysis identified 282 genes differing in expression between newlydiagnosed T1D patients and controls at a false discovery rate of 0.05. Changes in expression of interleukin-1β (IL1B), early growth response gene 3 (EGR3), and prostaglandin-endoperoxide synthase 2 (PTGS2) resolved within four months of insulin therapy and were also observed in T2D suggesting that they resulted from hyperglycemia. With use of a knowledge base, 81/282 genes could be placed within a network of interrelated genes with predicted functions including apoptosis and cell proliferation. IL1B and the MYC oncogene were the most highly-connected genes in the network. IL1B was highly overexpressed in both T1D and T2D, whereas MYC was dysregulated only in T1D. Conclusion: T1D and T2D likely share a final common pathway for beta cell dysfunction that includes secretion of interleukin-1β and prostaglandins by immune effector cells, exacerbating existing beta cell dysfunction, and causing further hyperglycemia. The results identify several targets for disease-modifying therapy of diabetes and potential biomarkers for monitoring treatment efficacy."}
{"STANDARD_NAME":"GSE9006_1MONTH_VS_4MONTH_POST_TYPE_1_DIABETES_DX_PBMC_DN","SYSTEMATIC_NAME":"M5791","ORGANISM":"Homo sapiens","PMID":"17595242","AUTHORS":"Kaizer EC,Glaser CL,Chaussabel D,Banchereau J,Pascual V,White PC.","GEOID":"GSE9006","EXACT_SOURCE":"GSE9006_2243_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of peripheral blood mononuclear cells (PBMC) from patients with type 1 diabetes at 1 month after the diagnosis versus those at 4 months later.","DESCRIPTION_FULL":"Objective: We hypothesized that type 1 diabetes (T1D) is accompanied by changes in gene expression in peripheral blood mononuclear cells (PBMCs) due to dysregulation of adaptive and innate immunity, counterregulatory responses to immune dysregulation, insulin deficiency and hyperglycemia. Research Design and Methods: Microarray analysis was performed on PBMCs from 43 patients with newly diagnosed T1D, 12 patients with newly diagnosed type 2 diabetes (T2D) and 24 healthy controls. One and four month follow-up samples were obtained from 20 of the T1D patients. Results: Microarray analysis identified 282 genes differing in expression between newlydiagnosed T1D patients and controls at a false discovery rate of 0.05. Changes in expression of interleukin-1β (IL1B), early growth response gene 3 (EGR3), and prostaglandin-endoperoxide synthase 2 (PTGS2) resolved within four months of insulin therapy and were also observed in T2D suggesting that they resulted from hyperglycemia. With use of a knowledge base, 81/282 genes could be placed within a network of interrelated genes with predicted functions including apoptosis and cell proliferation. IL1B and the MYC oncogene were the most highly-connected genes in the network. IL1B was highly overexpressed in both T1D and T2D, whereas MYC was dysregulated only in T1D. Conclusion: T1D and T2D likely share a final common pathway for beta cell dysfunction that includes secretion of interleukin-1β and prostaglandins by immune effector cells, exacerbating existing beta cell dysfunction, and causing further hyperglycemia. The results identify several targets for disease-modifying therapy of diabetes and potential biomarkers for monitoring treatment efficacy."}
{"STANDARD_NAME":"GSE9006_TYPE_1_VS_TYPE_2_DIABETES_PBMC_AT_DX_UP","SYSTEMATIC_NAME":"M5797","ORGANISM":"Homo sapiens","PMID":"17595242","AUTHORS":"Kaizer EC,Glaser CL,Chaussabel D,Banchereau J,Pascual V,White PC.","GEOID":"GSE9006","EXACT_SOURCE":"GSE9006_2244_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in peripheral blood mononuclear cells (PBMC) from patients with type 1 diabetes at the time of diagnosis versus those with type 2 diabetes at the time of diagnosis.","DESCRIPTION_FULL":"Objective: We hypothesized that type 1 diabetes (T1D) is accompanied by changes in gene expression in peripheral blood mononuclear cells (PBMCs) due to dysregulation of adaptive and innate immunity, counterregulatory responses to immune dysregulation, insulin deficiency and hyperglycemia. Research Design and Methods: Microarray analysis was performed on PBMCs from 43 patients with newly diagnosed T1D, 12 patients with newly diagnosed type 2 diabetes (T2D) and 24 healthy controls. One and four month follow-up samples were obtained from 20 of the T1D patients. Results: Microarray analysis identified 282 genes differing in expression between newlydiagnosed T1D patients and controls at a false discovery rate of 0.05. Changes in expression of interleukin-1β (IL1B), early growth response gene 3 (EGR3), and prostaglandin-endoperoxide synthase 2 (PTGS2) resolved within four months of insulin therapy and were also observed in T2D suggesting that they resulted from hyperglycemia. With use of a knowledge base, 81/282 genes could be placed within a network of interrelated genes with predicted functions including apoptosis and cell proliferation. IL1B and the MYC oncogene were the most highly-connected genes in the network. IL1B was highly overexpressed in both T1D and T2D, whereas MYC was dysregulated only in T1D. Conclusion: T1D and T2D likely share a final common pathway for beta cell dysfunction that includes secretion of interleukin-1β and prostaglandins by immune effector cells, exacerbating existing beta cell dysfunction, and causing further hyperglycemia. The results identify several targets for disease-modifying therapy of diabetes and potential biomarkers for monitoring treatment efficacy."}
{"STANDARD_NAME":"GSE9006_TYPE_1_VS_TYPE_2_DIABETES_PBMC_AT_DX_DN","SYSTEMATIC_NAME":"M5799","ORGANISM":"Homo sapiens","PMID":"17595242","AUTHORS":"Kaizer EC,Glaser CL,Chaussabel D,Banchereau J,Pascual V,White PC.","GEOID":"GSE9006","EXACT_SOURCE":"GSE9006_2244_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in peripheral blood mononuclear cells (PBMC) from patients with type 1 diabetes at the time of diagnosis versus those with type 2 diabetes at the time of diagnosis.","DESCRIPTION_FULL":"Objective: We hypothesized that type 1 diabetes (T1D) is accompanied by changes in gene expression in peripheral blood mononuclear cells (PBMCs) due to dysregulation of adaptive and innate immunity, counterregulatory responses to immune dysregulation, insulin deficiency and hyperglycemia. Research Design and Methods: Microarray analysis was performed on PBMCs from 43 patients with newly diagnosed T1D, 12 patients with newly diagnosed type 2 diabetes (T2D) and 24 healthy controls. One and four month follow-up samples were obtained from 20 of the T1D patients. Results: Microarray analysis identified 282 genes differing in expression between newlydiagnosed T1D patients and controls at a false discovery rate of 0.05. Changes in expression of interleukin-1β (IL1B), early growth response gene 3 (EGR3), and prostaglandin-endoperoxide synthase 2 (PTGS2) resolved within four months of insulin therapy and were also observed in T2D suggesting that they resulted from hyperglycemia. With use of a knowledge base, 81/282 genes could be placed within a network of interrelated genes with predicted functions including apoptosis and cell proliferation. IL1B and the MYC oncogene were the most highly-connected genes in the network. IL1B was highly overexpressed in both T1D and T2D, whereas MYC was dysregulated only in T1D. Conclusion: T1D and T2D likely share a final common pathway for beta cell dysfunction that includes secretion of interleukin-1β and prostaglandins by immune effector cells, exacerbating existing beta cell dysfunction, and causing further hyperglycemia. The results identify several targets for disease-modifying therapy of diabetes and potential biomarkers for monitoring treatment efficacy."}
{"STANDARD_NAME":"GSE9037_CTRL_VS_LPS_1H_STIM_BMDM_UP","SYSTEMATIC_NAME":"M5800","ORGANISM":"Mus musculus","PMID":"18266302","AUTHORS":"Koziczak-Holbro M,Glück A,Tschopp C,Mathison JC,Gram H","GEOID":"GSE9037","EXACT_SOURCE":"GSE9037_1743_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated macrophages at 4 h versus those treated with LPS (TLR4 agonist) at 1 h.","DESCRIPTION_FULL":"IRAK-4 is an essential component of the signal transduction complex downstream of the IL-1- and Toll-like receptors. Though regarded as the first kinase in the signaling cascade, the role of IRAK-4 kinase activity versus its scaffold function is still controversial. In order to investigate the role of IRAK-4 kinase function in vivo, ‘knock-in’ mice were generated by replacing the wild type IRAK-4 gene with a mutant gene encoding kinase deficient IRAK-4 protein (IRAK-4 KD). Analysis of bone marrow macrophages obtained from WT and IRAK-4 KD mice with a number of experimental techniques demonstrated that the IRAK-4 KD cells greatly lack responsiveness to stimulation with the Toll-like receptor 4 (TLR4) agonist LPS. One of the techniques used, microarray analysis, identified IRAK-4 kinase-dependent LPS response genes and revealed that the induction of LPS-responsive mRNAs was largely ablated in IRAK-4 KD cells. In summary, our results suggest that IRAK-4 kinase activity plays a critical role in TLR4-mediated induction of inflammatory responses."}
{"STANDARD_NAME":"GSE9037_CTRL_VS_LPS_1H_STIM_BMDM_DN","SYSTEMATIC_NAME":"M5801","ORGANISM":"Mus musculus","PMID":"18266302","AUTHORS":"Koziczak-Holbro M,Glück A,Tschopp C,Mathison JC,Gram H","GEOID":"GSE9037","EXACT_SOURCE":"GSE9037_1743_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated macrophages at 4 h versus those treated with LPS (TLR4 agonist) at 1 h.","DESCRIPTION_FULL":"IRAK-4 is an essential component of the signal transduction complex downstream of the IL-1- and Toll-like receptors. Though regarded as the first kinase in the signaling cascade, the role of IRAK-4 kinase activity versus its scaffold function is still controversial. In order to investigate the role of IRAK-4 kinase function in vivo, ‘knock-in’ mice were generated by replacing the wild type IRAK-4 gene with a mutant gene encoding kinase deficient IRAK-4 protein (IRAK-4 KD). Analysis of bone marrow macrophages obtained from WT and IRAK-4 KD mice with a number of experimental techniques demonstrated that the IRAK-4 KD cells greatly lack responsiveness to stimulation with the Toll-like receptor 4 (TLR4) agonist LPS. One of the techniques used, microarray analysis, identified IRAK-4 kinase-dependent LPS response genes and revealed that the induction of LPS-responsive mRNAs was largely ablated in IRAK-4 KD cells. In summary, our results suggest that IRAK-4 kinase activity plays a critical role in TLR4-mediated induction of inflammatory responses."}
{"STANDARD_NAME":"GSE9037_CTRL_VS_LPS_4H_STIM_BMDM_UP","SYSTEMATIC_NAME":"M5803","ORGANISM":"Mus musculus","PMID":"18266302","AUTHORS":"Koziczak-Holbro M,Glück A,Tschopp C,Mathison JC,Gram H","GEOID":"GSE9037","EXACT_SOURCE":"GSE9037_1744_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated macrophages at 4 h versus those treated with LPS (TLR4 agonist) at 4 h.","DESCRIPTION_FULL":"IRAK-4 is an essential component of the signal transduction complex downstream of the IL-1- and Toll-like receptors. Though regarded as the first kinase in the signaling cascade, the role of IRAK-4 kinase activity versus its scaffold function is still controversial. In order to investigate the role of IRAK-4 kinase function in vivo, ‘knock-in’ mice were generated by replacing the wild type IRAK-4 gene with a mutant gene encoding kinase deficient IRAK-4 protein (IRAK-4 KD). Analysis of bone marrow macrophages obtained from WT and IRAK-4 KD mice with a number of experimental techniques demonstrated that the IRAK-4 KD cells greatly lack responsiveness to stimulation with the Toll-like receptor 4 (TLR4) agonist LPS. One of the techniques used, microarray analysis, identified IRAK-4 kinase-dependent LPS response genes and revealed that the induction of LPS-responsive mRNAs was largely ablated in IRAK-4 KD cells. In summary, our results suggest that IRAK-4 kinase activity plays a critical role in TLR4-mediated induction of inflammatory responses."}
{"STANDARD_NAME":"GSE9037_CTRL_VS_LPS_4H_STIM_BMDM_DN","SYSTEMATIC_NAME":"M5806","ORGANISM":"Mus musculus","PMID":"18266302","AUTHORS":"Koziczak-Holbro M,Glück A,Tschopp C,Mathison JC,Gram H","GEOID":"GSE9037","EXACT_SOURCE":"GSE9037_1744_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated macrophages at 4 h versus those treated with LPS (TLR4 agonist) at 4 h.","DESCRIPTION_FULL":"IRAK-4 is an essential component of the signal transduction complex downstream of the IL-1- and Toll-like receptors. Though regarded as the first kinase in the signaling cascade, the role of IRAK-4 kinase activity versus its scaffold function is still controversial. In order to investigate the role of IRAK-4 kinase function in vivo, ‘knock-in’ mice were generated by replacing the wild type IRAK-4 gene with a mutant gene encoding kinase deficient IRAK-4 protein (IRAK-4 KD). Analysis of bone marrow macrophages obtained from WT and IRAK-4 KD mice with a number of experimental techniques demonstrated that the IRAK-4 KD cells greatly lack responsiveness to stimulation with the Toll-like receptor 4 (TLR4) agonist LPS. One of the techniques used, microarray analysis, identified IRAK-4 kinase-dependent LPS response genes and revealed that the induction of LPS-responsive mRNAs was largely ablated in IRAK-4 KD cells. In summary, our results suggest that IRAK-4 kinase activity plays a critical role in TLR4-mediated induction of inflammatory responses."}
{"STANDARD_NAME":"GSE9037_CTRL_VS_LPS_1H_STIM_IRAK4_KO_BMDM_UP","SYSTEMATIC_NAME":"M5807","ORGANISM":"Mus musculus","PMID":"18266302","AUTHORS":"Koziczak-Holbro M,Glück A,Tschopp C,Mathison JC,Gram H","GEOID":"GSE9037","EXACT_SOURCE":"GSE9037_1745_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated macrophages from IRAK4 [GeneID=51135] deficient mice at 4 h versus those treated with LPS (TLR4 agonist) at 1 h.","DESCRIPTION_FULL":"IRAK-4 is an essential component of the signal transduction complex downstream of the IL-1- and Toll-like receptors. Though regarded as the first kinase in the signaling cascade, the role of IRAK-4 kinase activity versus its scaffold function is still controversial. In order to investigate the role of IRAK-4 kinase function in vivo, ‘knock-in’ mice were generated by replacing the wild type IRAK-4 gene with a mutant gene encoding kinase deficient IRAK-4 protein (IRAK-4 KD). Analysis of bone marrow macrophages obtained from WT and IRAK-4 KD mice with a number of experimental techniques demonstrated that the IRAK-4 KD cells greatly lack responsiveness to stimulation with the Toll-like receptor 4 (TLR4) agonist LPS. One of the techniques used, microarray analysis, identified IRAK-4 kinase-dependent LPS response genes and revealed that the induction of LPS-responsive mRNAs was largely ablated in IRAK-4 KD cells. In summary, our results suggest that IRAK-4 kinase activity plays a critical role in TLR4-mediated induction of inflammatory responses."}
{"STANDARD_NAME":"GSE9037_CTRL_VS_LPS_1H_STIM_IRAK4_KO_BMDM_DN","SYSTEMATIC_NAME":"M5808","ORGANISM":"Mus musculus","PMID":"18266302","AUTHORS":"Koziczak-Holbro M,Glück A,Tschopp C,Mathison JC,Gram H","GEOID":"GSE9037","EXACT_SOURCE":"GSE9037_1745_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated macrophages from IRAK4 [GeneID=51135] deficient mice at 4 h versus those treated with LPS (TLR4 agonist) at 1 h.","DESCRIPTION_FULL":"IRAK-4 is an essential component of the signal transduction complex downstream of the IL-1- and Toll-like receptors. Though regarded as the first kinase in the signaling cascade, the role of IRAK-4 kinase activity versus its scaffold function is still controversial. In order to investigate the role of IRAK-4 kinase function in vivo, ‘knock-in’ mice were generated by replacing the wild type IRAK-4 gene with a mutant gene encoding kinase deficient IRAK-4 protein (IRAK-4 KD). Analysis of bone marrow macrophages obtained from WT and IRAK-4 KD mice with a number of experimental techniques demonstrated that the IRAK-4 KD cells greatly lack responsiveness to stimulation with the Toll-like receptor 4 (TLR4) agonist LPS. One of the techniques used, microarray analysis, identified IRAK-4 kinase-dependent LPS response genes and revealed that the induction of LPS-responsive mRNAs was largely ablated in IRAK-4 KD cells. In summary, our results suggest that IRAK-4 kinase activity plays a critical role in TLR4-mediated induction of inflammatory responses."}
{"STANDARD_NAME":"GSE9037_CTRL_VS_LPS_4H_STIM_IRAK4_KO_BMDM_UP","SYSTEMATIC_NAME":"M5809","ORGANISM":"Mus musculus","PMID":"18266302","AUTHORS":"Koziczak-Holbro M,Glück A,Tschopp C,Mathison JC,Gram H","GEOID":"GSE9037","EXACT_SOURCE":"GSE9037_1746_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated macrophages from IRAK4 [GeneID=51135] deficient mice at 4 h versus those treated with LPS (TLR4 agonist) at 4 h.","DESCRIPTION_FULL":"IRAK-4 is an essential component of the signal transduction complex downstream of the IL-1- and Toll-like receptors. Though regarded as the first kinase in the signaling cascade, the role of IRAK-4 kinase activity versus its scaffold function is still controversial. In order to investigate the role of IRAK-4 kinase function in vivo, ‘knock-in’ mice were generated by replacing the wild type IRAK-4 gene with a mutant gene encoding kinase deficient IRAK-4 protein (IRAK-4 KD). Analysis of bone marrow macrophages obtained from WT and IRAK-4 KD mice with a number of experimental techniques demonstrated that the IRAK-4 KD cells greatly lack responsiveness to stimulation with the Toll-like receptor 4 (TLR4) agonist LPS. One of the techniques used, microarray analysis, identified IRAK-4 kinase-dependent LPS response genes and revealed that the induction of LPS-responsive mRNAs was largely ablated in IRAK-4 KD cells. In summary, our results suggest that IRAK-4 kinase activity plays a critical role in TLR4-mediated induction of inflammatory responses."}
{"STANDARD_NAME":"GSE9037_CTRL_VS_LPS_4H_STIM_IRAK4_KO_BMDM_DN","SYSTEMATIC_NAME":"M5811","ORGANISM":"Mus musculus","PMID":"18266302","AUTHORS":"Koziczak-Holbro M,Glück A,Tschopp C,Mathison JC,Gram H","GEOID":"GSE9037","EXACT_SOURCE":"GSE9037_1746_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated macrophages from IRAK4 [GeneID=51135] deficient mice at 4 h versus those treated with LPS (TLR4 agonist) at 4 h.","DESCRIPTION_FULL":"IRAK-4 is an essential component of the signal transduction complex downstream of the IL-1- and Toll-like receptors. Though regarded as the first kinase in the signaling cascade, the role of IRAK-4 kinase activity versus its scaffold function is still controversial. In order to investigate the role of IRAK-4 kinase function in vivo, ‘knock-in’ mice were generated by replacing the wild type IRAK-4 gene with a mutant gene encoding kinase deficient IRAK-4 protein (IRAK-4 KD). Analysis of bone marrow macrophages obtained from WT and IRAK-4 KD mice with a number of experimental techniques demonstrated that the IRAK-4 KD cells greatly lack responsiveness to stimulation with the Toll-like receptor 4 (TLR4) agonist LPS. One of the techniques used, microarray analysis, identified IRAK-4 kinase-dependent LPS response genes and revealed that the induction of LPS-responsive mRNAs was largely ablated in IRAK-4 KD cells. In summary, our results suggest that IRAK-4 kinase activity plays a critical role in TLR4-mediated induction of inflammatory responses."}
{"STANDARD_NAME":"GSE9037_WT_VS_IRAK4_KO_BMDM_UP","SYSTEMATIC_NAME":"M5812","ORGANISM":"Mus musculus","PMID":"18266302","AUTHORS":"Koziczak-Holbro M,Glück A,Tschopp C,Mathison JC,Gram H","GEOID":"GSE9037","EXACT_SOURCE":"GSE9037_1747_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated wild type macrophages at 4 h versus those from IRAK4 [GeneID=51135] deficient mice at 4 h.","DESCRIPTION_FULL":"IRAK-4 is an essential component of the signal transduction complex downstream of the IL-1- and Toll-like receptors. Though regarded as the first kinase in the signaling cascade, the role of IRAK-4 kinase activity versus its scaffold function is still controversial. In order to investigate the role of IRAK-4 kinase function in vivo, ‘knock-in’ mice were generated by replacing the wild type IRAK-4 gene with a mutant gene encoding kinase deficient IRAK-4 protein (IRAK-4 KD). Analysis of bone marrow macrophages obtained from WT and IRAK-4 KD mice with a number of experimental techniques demonstrated that the IRAK-4 KD cells greatly lack responsiveness to stimulation with the Toll-like receptor 4 (TLR4) agonist LPS. One of the techniques used, microarray analysis, identified IRAK-4 kinase-dependent LPS response genes and revealed that the induction of LPS-responsive mRNAs was largely ablated in IRAK-4 KD cells. In summary, our results suggest that IRAK-4 kinase activity plays a critical role in TLR4-mediated induction of inflammatory responses."}
{"STANDARD_NAME":"GSE9037_WT_VS_IRAK4_KO_BMDM_DN","SYSTEMATIC_NAME":"M5814","ORGANISM":"Mus musculus","PMID":"18266302","AUTHORS":"Koziczak-Holbro M,Glück A,Tschopp C,Mathison JC,Gram H","GEOID":"GSE9037","EXACT_SOURCE":"GSE9037_1747_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated wild type macrophages at 4 h versus those from IRAK4 [GeneID=51135] deficient mice at 4 h.","DESCRIPTION_FULL":"IRAK-4 is an essential component of the signal transduction complex downstream of the IL-1- and Toll-like receptors. Though regarded as the first kinase in the signaling cascade, the role of IRAK-4 kinase activity versus its scaffold function is still controversial. In order to investigate the role of IRAK-4 kinase function in vivo, ‘knock-in’ mice were generated by replacing the wild type IRAK-4 gene with a mutant gene encoding kinase deficient IRAK-4 protein (IRAK-4 KD). Analysis of bone marrow macrophages obtained from WT and IRAK-4 KD mice with a number of experimental techniques demonstrated that the IRAK-4 KD cells greatly lack responsiveness to stimulation with the Toll-like receptor 4 (TLR4) agonist LPS. One of the techniques used, microarray analysis, identified IRAK-4 kinase-dependent LPS response genes and revealed that the induction of LPS-responsive mRNAs was largely ablated in IRAK-4 KD cells. In summary, our results suggest that IRAK-4 kinase activity plays a critical role in TLR4-mediated induction of inflammatory responses."}
{"STANDARD_NAME":"GSE9037_WT_VS_IRAK4_KO_LPS_1H_STIM_BMDM_UP","SYSTEMATIC_NAME":"M5815","ORGANISM":"Mus musculus","PMID":"18266302","AUTHORS":"Koziczak-Holbro M,Glück A,Tschopp C,Mathison JC,Gram H","GEOID":"GSE9037","EXACT_SOURCE":"GSE9037_1748_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of untreated wild type macrophages at 1 h versus those from IRAK4 [GeneID=51135] deficient mice treated with LPS (TLR4 agonist) at 1 h.","DESCRIPTION_FULL":"IRAK-4 is an essential component of the signal transduction complex downstream of the IL-1- and Toll-like receptors. Though regarded as the first kinase in the signaling cascade, the role of IRAK-4 kinase activity versus its scaffold function is still controversial. In order to investigate the role of IRAK-4 kinase function in vivo, ‘knock-in’ mice were generated by replacing the wild type IRAK-4 gene with a mutant gene encoding kinase deficient IRAK-4 protein (IRAK-4 KD). Analysis of bone marrow macrophages obtained from WT and IRAK-4 KD mice with a number of experimental techniques demonstrated that the IRAK-4 KD cells greatly lack responsiveness to stimulation with the Toll-like receptor 4 (TLR4) agonist LPS. One of the techniques used, microarray analysis, identified IRAK-4 kinase-dependent LPS response genes and revealed that the induction of LPS-responsive mRNAs was largely ablated in IRAK-4 KD cells. In summary, our results suggest that IRAK-4 kinase activity plays a critical role in TLR4-mediated induction of inflammatory responses."}
{"STANDARD_NAME":"GSE9037_WT_VS_IRAK4_KO_LPS_1H_STIM_BMDM_DN","SYSTEMATIC_NAME":"M5816","ORGANISM":"Mus musculus","PMID":"18266302","AUTHORS":"Koziczak-Holbro M,Glück A,Tschopp C,Mathison JC,Gram H","GEOID":"GSE9037","EXACT_SOURCE":"GSE9037_1748_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of untreated wild type macrophages at 1 h versus those from IRAK4 [GeneID=51135] deficient mice treated with LPS (TLR4 agonist) at 1 h.","DESCRIPTION_FULL":"IRAK-4 is an essential component of the signal transduction complex downstream of the IL-1- and Toll-like receptors. Though regarded as the first kinase in the signaling cascade, the role of IRAK-4 kinase activity versus its scaffold function is still controversial. In order to investigate the role of IRAK-4 kinase function in vivo, ‘knock-in’ mice were generated by replacing the wild type IRAK-4 gene with a mutant gene encoding kinase deficient IRAK-4 protein (IRAK-4 KD). Analysis of bone marrow macrophages obtained from WT and IRAK-4 KD mice with a number of experimental techniques demonstrated that the IRAK-4 KD cells greatly lack responsiveness to stimulation with the Toll-like receptor 4 (TLR4) agonist LPS. One of the techniques used, microarray analysis, identified IRAK-4 kinase-dependent LPS response genes and revealed that the induction of LPS-responsive mRNAs was largely ablated in IRAK-4 KD cells. In summary, our results suggest that IRAK-4 kinase activity plays a critical role in TLR4-mediated induction of inflammatory responses."}
{"STANDARD_NAME":"GSE9037_WT_VS_IRAK4_KO_LPS_4H_STIM_BMDM_UP","SYSTEMATIC_NAME":"M5817","ORGANISM":"Mus musculus","PMID":"18266302","AUTHORS":"Koziczak-Holbro M,Glück A,Tschopp C,Mathison JC,Gram H","GEOID":"GSE9037","EXACT_SOURCE":"GSE9037_1749_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of wild type macrophage treated with LPS (TLR4 agonist) at 4 h versus those from IRAK4 [GeneID=51135] deficient mice treated with LPS (TLR4 agonist) at 4 h.","DESCRIPTION_FULL":"IRAK-4 is an essential component of the signal transduction complex downstream of the IL-1- and Toll-like receptors. Though regarded as the first kinase in the signaling cascade, the role of IRAK-4 kinase activity versus its scaffold function is still controversial. In order to investigate the role of IRAK-4 kinase function in vivo, ‘knock-in’ mice were generated by replacing the wild type IRAK-4 gene with a mutant gene encoding kinase deficient IRAK-4 protein (IRAK-4 KD). Analysis of bone marrow macrophages obtained from WT and IRAK-4 KD mice with a number of experimental techniques demonstrated that the IRAK-4 KD cells greatly lack responsiveness to stimulation with the Toll-like receptor 4 (TLR4) agonist LPS. One of the techniques used, microarray analysis, identified IRAK-4 kinase-dependent LPS response genes and revealed that the induction of LPS-responsive mRNAs was largely ablated in IRAK-4 KD cells. In summary, our results suggest that IRAK-4 kinase activity plays a critical role in TLR4-mediated induction of inflammatory responses."}
{"STANDARD_NAME":"GSE9037_WT_VS_IRAK4_KO_LPS_4H_STIM_BMDM_DN","SYSTEMATIC_NAME":"M5818","ORGANISM":"Mus musculus","PMID":"18266302","AUTHORS":"Koziczak-Holbro M,Glück A,Tschopp C,Mathison JC,Gram H","GEOID":"GSE9037","EXACT_SOURCE":"GSE9037_1749_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of wild type macrophage treated with LPS (TLR4 agonist) at 4 h versus those from IRAK4 [GeneID=51135] deficient mice treated with LPS (TLR4 agonist) at 4 h.","DESCRIPTION_FULL":"IRAK-4 is an essential component of the signal transduction complex downstream of the IL-1- and Toll-like receptors. Though regarded as the first kinase in the signaling cascade, the role of IRAK-4 kinase activity versus its scaffold function is still controversial. In order to investigate the role of IRAK-4 kinase function in vivo, ‘knock-in’ mice were generated by replacing the wild type IRAK-4 gene with a mutant gene encoding kinase deficient IRAK-4 protein (IRAK-4 KD). Analysis of bone marrow macrophages obtained from WT and IRAK-4 KD mice with a number of experimental techniques demonstrated that the IRAK-4 KD cells greatly lack responsiveness to stimulation with the Toll-like receptor 4 (TLR4) agonist LPS. One of the techniques used, microarray analysis, identified IRAK-4 kinase-dependent LPS response genes and revealed that the induction of LPS-responsive mRNAs was largely ablated in IRAK-4 KD cells. In summary, our results suggest that IRAK-4 kinase activity plays a critical role in TLR4-mediated induction of inflammatory responses."}
{"STANDARD_NAME":"GSE9650_NAIVE_VS_EFF_CD8_TCELL_UP","SYSTEMATIC_NAME":"M5819","ORGANISM":"Mus musculus","PMID":"17950003","AUTHORS":"Wherry EJ,Ha SJ,Kaech SM,Haining WN,Sarkar S,Kalia V,Subramaniam S,Blattman JN,Barber DL,Ahmed R.","GEOID":"GSE9650","EXACT_SOURCE":"GSE9650_1253_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive CD8 T cells versus effector CD8 T cells.","DESCRIPTION_FULL":"CD8 T cells normally differentiate from resting naïve T cells into function effector and then memory CD8 T cells following acute infections. During chronic viral infections, however, virus-specific CD8 T cells often become exhausted. We used microarrays to examine the gene expression differences between naive, effector, memory and exhausted virus-specific CD8 T cells following lymphocytic choriomeningitis virus infection."}
{"STANDARD_NAME":"GSE9650_NAIVE_VS_EFF_CD8_TCELL_DN","SYSTEMATIC_NAME":"M5820","ORGANISM":"Mus musculus","PMID":"17950003","AUTHORS":"Wherry EJ,Ha SJ,Kaech SM,Haining WN,Sarkar S,Kalia V,Subramaniam S,Blattman JN,Barber DL,Ahmed R.","GEOID":"GSE9650","EXACT_SOURCE":"GSE9650_1253_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive CD8 T cells versus effector CD8 T cells.","DESCRIPTION_FULL":"CD8 T cells normally differentiate from resting naïve T cells into function effector and then memory CD8 T cells following acute infections. During chronic viral infections, however, virus-specific CD8 T cells often become exhausted. We used microarrays to examine the gene expression differences between naive, effector, memory and exhausted virus-specific CD8 T cells following lymphocytic choriomeningitis virus infection."}
{"STANDARD_NAME":"GSE9650_NAIVE_VS_EXHAUSTED_CD8_TCELL_UP","SYSTEMATIC_NAME":"M5821","ORGANISM":"Mus musculus","PMID":"17950003","AUTHORS":"Wherry EJ,Ha SJ,Kaech SM,Haining WN,Sarkar S,Kalia V,Subramaniam S,Blattman JN,Barber DL,Ahmed R.","GEOID":"GSE9650","EXACT_SOURCE":"GSE9650_1254_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive CD8 T cells versus exhausted CD8 T cells.","DESCRIPTION_FULL":"CD8 T cells normally differentiate from resting naïve T cells into function effector and then memory CD8 T cells following acute infections. During chronic viral infections, however, virus-specific CD8 T cells often become exhausted. We used microarrays to examine the gene expression differences between naive, effector, memory and exhausted virus-specific CD8 T cells following lymphocytic choriomeningitis virus infection."}
{"STANDARD_NAME":"GSE9650_NAIVE_VS_EXHAUSTED_CD8_TCELL_DN","SYSTEMATIC_NAME":"M5828","ORGANISM":"Mus musculus","PMID":"17950003","AUTHORS":"Wherry EJ,Ha SJ,Kaech SM,Haining WN,Sarkar S,Kalia V,Subramaniam S,Blattman JN,Barber DL,Ahmed R.","GEOID":"GSE9650","EXACT_SOURCE":"GSE9650_1254_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive CD8 T cells versus exhausted CD8 T cells.","DESCRIPTION_FULL":"CD8 T cells normally differentiate from resting naïve T cells into function effector and then memory CD8 T cells following acute infections. During chronic viral infections, however, virus-specific CD8 T cells often become exhausted. We used microarrays to examine the gene expression differences between naive, effector, memory and exhausted virus-specific CD8 T cells following lymphocytic choriomeningitis virus infection."}
{"STANDARD_NAME":"GSE9650_NAIVE_VS_MEMORY_CD8_TCELL_UP","SYSTEMATIC_NAME":"M5831","ORGANISM":"Mus musculus","PMID":"17950003","AUTHORS":"Wherry EJ,Ha SJ,Kaech SM,Haining WN,Sarkar S,Kalia V,Subramaniam S,Blattman JN,Barber DL,Ahmed R.","GEOID":"GSE9650","EXACT_SOURCE":"GSE9650_1255_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of naive CD8 T cells versus memory CD8 T cells.","DESCRIPTION_FULL":"CD8 T cells normally differentiate from resting naïve T cells into function effector and then memory CD8 T cells following acute infections. During chronic viral infections, however, virus-specific CD8 T cells often become exhausted. We used microarrays to examine the gene expression differences between naive, effector, memory and exhausted virus-specific CD8 T cells following lymphocytic choriomeningitis virus infection."}
{"STANDARD_NAME":"GSE9650_NAIVE_VS_MEMORY_CD8_TCELL_DN","SYSTEMATIC_NAME":"M5832","ORGANISM":"Mus musculus","PMID":"17950003","AUTHORS":"Wherry EJ,Ha SJ,Kaech SM,Haining WN,Sarkar S,Kalia V,Subramaniam S,Blattman JN,Barber DL,Ahmed R.","GEOID":"GSE9650","EXACT_SOURCE":"GSE9650_1255_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of naive CD8 T cells versus memory CD8 T cells.","DESCRIPTION_FULL":"CD8 T cells normally differentiate from resting naïve T cells into function effector and then memory CD8 T cells following acute infections. During chronic viral infections, however, virus-specific CD8 T cells often become exhausted. We used microarrays to examine the gene expression differences between naive, effector, memory and exhausted virus-specific CD8 T cells following lymphocytic choriomeningitis virus infection."}
{"STANDARD_NAME":"GSE9650_EFFECTOR_VS_EXHAUSTED_CD8_TCELL_UP","SYSTEMATIC_NAME":"M5833","ORGANISM":"Mus musculus","PMID":"17950003","AUTHORS":"Wherry EJ,Ha SJ,Kaech SM,Haining WN,Sarkar S,Kalia V,Subramaniam S,Blattman JN,Barber DL,Ahmed R.","GEOID":"GSE9650","EXACT_SOURCE":"GSE9650_1256_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of effector CD8 T cells versus exhausted CD8 T cells.","DESCRIPTION_FULL":"CD8 T cells normally differentiate from resting naïve T cells into function effector and then memory CD8 T cells following acute infections. During chronic viral infections, however, virus-specific CD8 T cells often become exhausted. We used microarrays to examine the gene expression differences between naive, effector, memory and exhausted virus-specific CD8 T cells following lymphocytic choriomeningitis virus infection."}
{"STANDARD_NAME":"GSE9650_EFFECTOR_VS_EXHAUSTED_CD8_TCELL_DN","SYSTEMATIC_NAME":"M5834","ORGANISM":"Mus musculus","PMID":"17950003","AUTHORS":"Wherry EJ,Ha SJ,Kaech SM,Haining WN,Sarkar S,Kalia V,Subramaniam S,Blattman JN,Barber DL,Ahmed R.","GEOID":"GSE9650","EXACT_SOURCE":"GSE9650_1256_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of effector CD8 T cells versus exhausted CD8 T cells.","DESCRIPTION_FULL":"CD8 T cells normally differentiate from resting naïve T cells into function effector and then memory CD8 T cells following acute infections. During chronic viral infections, however, virus-specific CD8 T cells often become exhausted. We used microarrays to examine the gene expression differences between naive, effector, memory and exhausted virus-specific CD8 T cells following lymphocytic choriomeningitis virus infection."}
{"STANDARD_NAME":"GSE9650_EFFECTOR_VS_MEMORY_CD8_TCELL_UP","SYSTEMATIC_NAME":"M5836","ORGANISM":"Mus musculus","PMID":"17950003","AUTHORS":"Wherry EJ,Ha SJ,Kaech SM,Haining WN,Sarkar S,Kalia V,Subramaniam S,Blattman JN,Barber DL,Ahmed R.","GEOID":"GSE9650","EXACT_SOURCE":"GSE9650_1257_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of effector CD8 T cells versus memory CD8 T cells.","DESCRIPTION_FULL":"CD8 T cells normally differentiate from resting naïve T cells into function effector and then memory CD8 T cells following acute infections. During chronic viral infections, however, virus-specific CD8 T cells often become exhausted. We used microarrays to examine the gene expression differences between naive, effector, memory and exhausted virus-specific CD8 T cells following lymphocytic choriomeningitis virus infection."}
{"STANDARD_NAME":"GSE9650_EFFECTOR_VS_MEMORY_CD8_TCELL_DN","SYSTEMATIC_NAME":"M5837","ORGANISM":"Mus musculus","PMID":"17950003","AUTHORS":"Wherry EJ,Ha SJ,Kaech SM,Haining WN,Sarkar S,Kalia V,Subramaniam S,Blattman JN,Barber DL,Ahmed R.","GEOID":"GSE9650","EXACT_SOURCE":"GSE9650_1257_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of effector CD8 T cells versus memory CD8 T cells.","DESCRIPTION_FULL":"CD8 T cells normally differentiate from resting naïve T cells into function effector and then memory CD8 T cells following acute infections. During chronic viral infections, however, virus-specific CD8 T cells often become exhausted. We used microarrays to examine the gene expression differences between naive, effector, memory and exhausted virus-specific CD8 T cells following lymphocytic choriomeningitis virus infection."}
{"STANDARD_NAME":"GSE9650_EXHAUSTED_VS_MEMORY_CD8_TCELL_UP","SYSTEMATIC_NAME":"M5838","ORGANISM":"Mus musculus","PMID":"17950003","AUTHORS":"Wherry EJ,Ha SJ,Kaech SM,Haining WN,Sarkar S,Kalia V,Subramaniam S,Blattman JN,Barber DL,Ahmed R.","GEOID":"GSE9650","EXACT_SOURCE":"GSE9650_1258_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of exhausted CD8 T cells versus memory CD8 T cells.","DESCRIPTION_FULL":"CD8 T cells normally differentiate from resting naïve T cells into function effector and then memory CD8 T cells following acute infections. During chronic viral infections, however, virus-specific CD8 T cells often become exhausted. We used microarrays to examine the gene expression differences between naive, effector, memory and exhausted virus-specific CD8 T cells following lymphocytic choriomeningitis virus infection."}
{"STANDARD_NAME":"GSE9650_EXHAUSTED_VS_MEMORY_CD8_TCELL_DN","SYSTEMATIC_NAME":"M5841","ORGANISM":"Mus musculus","PMID":"17950003","AUTHORS":"Wherry EJ,Ha SJ,Kaech SM,Haining WN,Sarkar S,Kalia V,Subramaniam S,Blattman JN,Barber DL,Ahmed R.","GEOID":"GSE9650","EXACT_SOURCE":"GSE9650_1258_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of exhausted CD8 T cells versus memory CD8 T cells.","DESCRIPTION_FULL":"CD8 T cells normally differentiate from resting naïve T cells into function effector and then memory CD8 T cells following acute infections. During chronic viral infections, however, virus-specific CD8 T cells often become exhausted. We used microarrays to examine the gene expression differences between naive, effector, memory and exhausted virus-specific CD8 T cells following lymphocytic choriomeningitis virus infection."}
{"STANDARD_NAME":"GSE9650_GP33_VS_GP276_LCMV_SPECIFIC_EXHAUSTED_CD8_TCELL_UP","SYSTEMATIC_NAME":"M5842","ORGANISM":"Mus musculus","PMID":"17950003","AUTHORS":"Wherry EJ,Ha SJ,Kaech SM,Haining WN,Sarkar S,Kalia V,Subramaniam S,Blattman JN,Barber DL,Ahmed R.","GEOID":"GSE9650","EXACT_SOURCE":"GSE9650_1259_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of virus specific (gp33) exhausted CD8 T cells versus the virus specific (gp276) cells.","DESCRIPTION_FULL":"CD8 T cells normally differentiate from resting naïve T cells into function effector and then memory CD8 T cells following acute infections. During chronic viral infections, however, virus-specific CD8 T cells often become exhausted. We used microarrays to examine the gene expression differences between naive, effector, memory and exhausted virus-specific CD8 T cells following lymphocytic choriomeningitis virus infection."}
{"STANDARD_NAME":"GSE9650_GP33_VS_GP276_LCMV_SPECIFIC_EXHAUSTED_CD8_TCELL_DN","SYSTEMATIC_NAME":"M5843","ORGANISM":"Mus musculus","PMID":"17950003","AUTHORS":"Wherry EJ,Ha SJ,Kaech SM,Haining WN,Sarkar S,Kalia V,Subramaniam S,Blattman JN,Barber DL,Ahmed R.","GEOID":"GSE9650","EXACT_SOURCE":"GSE9650_1259_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of virus specific (gp33) exhausted CD8 T cells versus the virus specific (gp276) cells.","DESCRIPTION_FULL":"CD8 T cells normally differentiate from resting naïve T cells into function effector and then memory CD8 T cells following acute infections. During chronic viral infections, however, virus-specific CD8 T cells often become exhausted. We used microarrays to examine the gene expression differences between naive, effector, memory and exhausted virus-specific CD8 T cells following lymphocytic choriomeningitis virus infection."}
{"STANDARD_NAME":"GSE9988_ANTI_TREM1_VS_LPS_MONOCYTE_UP","SYSTEMATIC_NAME":"M5844","ORGANISM":"Homo sapiens","PMID":"18292579","AUTHORS":"Dower K,Ellis DK,Saraf K,Jelinsky SA,Lin LL.","GEOID":"GSE9988","EXACT_SOURCE":"GSE9988_2034_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of monocytes treated with anti-TREM1 [GeneID=54210] versus monocytes treated with 5000 ng/ml LPS (TLR4 agonist).","DESCRIPTION_FULL":"TREM-1 is an orphan immunoreceptor expressed on monocytes, macrophages, and neutrophils. TREM-1 associates with and signals via the adapter protein DAP12/TYROBP, which contains an immunoreceptor tyrosine-based activation motif (ITAM). TREM-1 activation by receptor cross-linking is pro-inflammatory, and can amplify cellular responses to Toll-like receptor (TLR) ligands such as bacterial lipopolysaccharide (LPS). To investigate the cellular consequences of TREM-1 activation, we have characterized global gene expression changes in human monocytes in response to TREM-1 cross-linking in comparison to and combined with LPS. Both TREM-1 activation and LPS up-regulate chemokines, cytokines, matrix metalloproteases, and PTGS/COX2, consistent with a core inflammatory response. However, other immunomodulatory factors are selectively induced, including SPP1 and CSF1 (i.e., M-CSF) by TREM-1 activation and IL-23 and CSF3 (i.e., G-CSF) by LPS. Additionally, cross-talk between TREM-1 activation and LPS occurs on multiple levels. While synergy in GM-CSF protein production is reflected in commensurate mRNA abundance, comparable synergy in IL-1b protein production is not. TREM-1 activation also attenuates the induction of some LPS target genes, including those that encode IL-12 cytokine family subunits. Whereas positive TREM-1 outputs are abolished by the PI3K inhibitor wortmannin, this attenuation is largely PI3K-independent. These experiments provide a detailed analysis of the cellular consequences of TREM-1 activation, and highlight some of the complexity in signal integration between ITAM- and TLR-mediated signaling."}
{"STANDARD_NAME":"GSE9988_ANTI_TREM1_VS_LPS_MONOCYTE_DN","SYSTEMATIC_NAME":"M5845","ORGANISM":"Homo sapiens","PMID":"18292579","AUTHORS":"Dower K,Ellis DK,Saraf K,Jelinsky SA,Lin LL.","GEOID":"GSE9988","EXACT_SOURCE":"GSE9988_2034_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of monocytes treated with anti-TREM1 [GeneID=54210] versus monocytes treated with 5000 ng/ml LPS (TLR4 agonist).","DESCRIPTION_FULL":"TREM-1 is an orphan immunoreceptor expressed on monocytes, macrophages, and neutrophils. TREM-1 associates with and signals via the adapter protein DAP12/TYROBP, which contains an immunoreceptor tyrosine-based activation motif (ITAM). TREM-1 activation by receptor cross-linking is pro-inflammatory, and can amplify cellular responses to Toll-like receptor (TLR) ligands such as bacterial lipopolysaccharide (LPS). To investigate the cellular consequences of TREM-1 activation, we have characterized global gene expression changes in human monocytes in response to TREM-1 cross-linking in comparison to and combined with LPS. Both TREM-1 activation and LPS up-regulate chemokines, cytokines, matrix metalloproteases, and PTGS/COX2, consistent with a core inflammatory response. However, other immunomodulatory factors are selectively induced, including SPP1 and CSF1 (i.e., M-CSF) by TREM-1 activation and IL-23 and CSF3 (i.e., G-CSF) by LPS. Additionally, cross-talk between TREM-1 activation and LPS occurs on multiple levels. While synergy in GM-CSF protein production is reflected in commensurate mRNA abundance, comparable synergy in IL-1b protein production is not. TREM-1 activation also attenuates the induction of some LPS target genes, including those that encode IL-12 cytokine family subunits. Whereas positive TREM-1 outputs are abolished by the PI3K inhibitor wortmannin, this attenuation is largely PI3K-independent. These experiments provide a detailed analysis of the cellular consequences of TREM-1 activation, and highlight some of the complexity in signal integration between ITAM- and TLR-mediated signaling."}
{"STANDARD_NAME":"GSE9988_ANTI_TREM1_VS_LOW_LPS_MONOCYTE_UP","SYSTEMATIC_NAME":"M5846","ORGANISM":"Homo sapiens","PMID":"18292579","AUTHORS":"Dower K,Ellis DK,Saraf K,Jelinsky SA,Lin LL.","GEOID":"GSE9988","EXACT_SOURCE":"GSE9988_2035_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of monocytes treated with anti-TREM1 [GeneID=54210] versus monocytes treated with 1 ng/ml LPS (TLR4 agonist). ","DESCRIPTION_FULL":"TREM-1 is an orphan immunoreceptor expressed on monocytes, macrophages, and neutrophils. TREM-1 associates with and signals via the adapter protein DAP12/TYROBP, which contains an immunoreceptor tyrosine-based activation motif (ITAM). TREM-1 activation by receptor cross-linking is pro-inflammatory, and can amplify cellular responses to Toll-like receptor (TLR) ligands such as bacterial lipopolysaccharide (LPS). To investigate the cellular consequences of TREM-1 activation, we have characterized global gene expression changes in human monocytes in response to TREM-1 cross-linking in comparison to and combined with LPS. Both TREM-1 activation and LPS up-regulate chemokines, cytokines, matrix metalloproteases, and PTGS/COX2, consistent with a core inflammatory response. However, other immunomodulatory factors are selectively induced, including SPP1 and CSF1 (i.e., M-CSF) by TREM-1 activation and IL-23 and CSF3 (i.e., G-CSF) by LPS. Additionally, cross-talk between TREM-1 activation and LPS occurs on multiple levels. While synergy in GM-CSF protein production is reflected in commensurate mRNA abundance, comparable synergy in IL-1b protein production is not. TREM-1 activation also attenuates the induction of some LPS target genes, including those that encode IL-12 cytokine family subunits. Whereas positive TREM-1 outputs are abolished by the PI3K inhibitor wortmannin, this attenuation is largely PI3K-independent. These experiments provide a detailed analysis of the cellular consequences of TREM-1 activation, and highlight some of the complexity in signal integration between ITAM- and TLR-mediated signaling."}
{"STANDARD_NAME":"GSE9988_ANTI_TREM1_VS_LOW_LPS_MONOCYTE_DN","SYSTEMATIC_NAME":"M5847","ORGANISM":"Homo sapiens","PMID":"18292579","AUTHORS":"Dower K,Ellis DK,Saraf K,Jelinsky SA,Lin LL.","GEOID":"GSE9988","EXACT_SOURCE":"GSE9988_2035_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of monocytes treated with anti-TREM1 [GeneID=54210] versus monocytes treated with 1 ng/ml LPS (TLR4 agonist). ","DESCRIPTION_FULL":"TREM-1 is an orphan immunoreceptor expressed on monocytes, macrophages, and neutrophils. TREM-1 associates with and signals via the adapter protein DAP12/TYROBP, which contains an immunoreceptor tyrosine-based activation motif (ITAM). TREM-1 activation by receptor cross-linking is pro-inflammatory, and can amplify cellular responses to Toll-like receptor (TLR) ligands such as bacterial lipopolysaccharide (LPS). To investigate the cellular consequences of TREM-1 activation, we have characterized global gene expression changes in human monocytes in response to TREM-1 cross-linking in comparison to and combined with LPS. Both TREM-1 activation and LPS up-regulate chemokines, cytokines, matrix metalloproteases, and PTGS/COX2, consistent with a core inflammatory response. However, other immunomodulatory factors are selectively induced, including SPP1 and CSF1 (i.e., M-CSF) by TREM-1 activation and IL-23 and CSF3 (i.e., G-CSF) by LPS. Additionally, cross-talk between TREM-1 activation and LPS occurs on multiple levels. While synergy in GM-CSF protein production is reflected in commensurate mRNA abundance, comparable synergy in IL-1b protein production is not. TREM-1 activation also attenuates the induction of some LPS target genes, including those that encode IL-12 cytokine family subunits. Whereas positive TREM-1 outputs are abolished by the PI3K inhibitor wortmannin, this attenuation is largely PI3K-independent. These experiments provide a detailed analysis of the cellular consequences of TREM-1 activation, and highlight some of the complexity in signal integration between ITAM- and TLR-mediated signaling."}
{"STANDARD_NAME":"GSE9988_ANTI_TREM1_VS_ANTI_TREM1_AND_LPS_MONOCYTE_UP","SYSTEMATIC_NAME":"M5848","ORGANISM":"Homo sapiens","PMID":"18292579","AUTHORS":"Dower K,Ellis DK,Saraf K,Jelinsky SA,Lin LL.","GEOID":"GSE9988","EXACT_SOURCE":"GSE9988_2036_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of monocytes treated with anti-TREM1 [GeneID=54210] versus monocytes treated with anti-TREM1 [GeneID=54210] and 5000 ng/ml LPS (TLR4 agonist).","DESCRIPTION_FULL":"TREM-1 is an orphan immunoreceptor expressed on monocytes, macrophages, and neutrophils. TREM-1 associates with and signals via the adapter protein DAP12/TYROBP, which contains an immunoreceptor tyrosine-based activation motif (ITAM). TREM-1 activation by receptor cross-linking is pro-inflammatory, and can amplify cellular responses to Toll-like receptor (TLR) ligands such as bacterial lipopolysaccharide (LPS). To investigate the cellular consequences of TREM-1 activation, we have characterized global gene expression changes in human monocytes in response to TREM-1 cross-linking in comparison to and combined with LPS. Both TREM-1 activation and LPS up-regulate chemokines, cytokines, matrix metalloproteases, and PTGS/COX2, consistent with a core inflammatory response. However, other immunomodulatory factors are selectively induced, including SPP1 and CSF1 (i.e., M-CSF) by TREM-1 activation and IL-23 and CSF3 (i.e., G-CSF) by LPS. Additionally, cross-talk between TREM-1 activation and LPS occurs on multiple levels. While synergy in GM-CSF protein production is reflected in commensurate mRNA abundance, comparable synergy in IL-1b protein production is not. TREM-1 activation also attenuates the induction of some LPS target genes, including those that encode IL-12 cytokine family subunits. Whereas positive TREM-1 outputs are abolished by the PI3K inhibitor wortmannin, this attenuation is largely PI3K-independent. These experiments provide a detailed analysis of the cellular consequences of TREM-1 activation, and highlight some of the complexity in signal integration between ITAM- and TLR-mediated signaling."}
{"STANDARD_NAME":"GSE9988_ANTI_TREM1_VS_ANTI_TREM1_AND_LPS_MONOCYTE_DN","SYSTEMATIC_NAME":"M5849","ORGANISM":"Homo sapiens","PMID":"18292579","AUTHORS":"Dower K,Ellis DK,Saraf K,Jelinsky SA,Lin LL.","GEOID":"GSE9988","EXACT_SOURCE":"GSE9988_2036_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of monocytes treated with anti-TREM1 [GeneID=54210] versus monocytes treated with anti-TREM1 [GeneID=54210] and 5000 ng/ml LPS (TLR4 agonist).","DESCRIPTION_FULL":"TREM-1 is an orphan immunoreceptor expressed on monocytes, macrophages, and neutrophils. TREM-1 associates with and signals via the adapter protein DAP12/TYROBP, which contains an immunoreceptor tyrosine-based activation motif (ITAM). TREM-1 activation by receptor cross-linking is pro-inflammatory, and can amplify cellular responses to Toll-like receptor (TLR) ligands such as bacterial lipopolysaccharide (LPS). To investigate the cellular consequences of TREM-1 activation, we have characterized global gene expression changes in human monocytes in response to TREM-1 cross-linking in comparison to and combined with LPS. Both TREM-1 activation and LPS up-regulate chemokines, cytokines, matrix metalloproteases, and PTGS/COX2, consistent with a core inflammatory response. However, other immunomodulatory factors are selectively induced, including SPP1 and CSF1 (i.e., M-CSF) by TREM-1 activation and IL-23 and CSF3 (i.e., G-CSF) by LPS. Additionally, cross-talk between TREM-1 activation and LPS occurs on multiple levels. While synergy in GM-CSF protein production is reflected in commensurate mRNA abundance, comparable synergy in IL-1b protein production is not. TREM-1 activation also attenuates the induction of some LPS target genes, including those that encode IL-12 cytokine family subunits. Whereas positive TREM-1 outputs are abolished by the PI3K inhibitor wortmannin, this attenuation is largely PI3K-independent. These experiments provide a detailed analysis of the cellular consequences of TREM-1 activation, and highlight some of the complexity in signal integration between ITAM- and TLR-mediated signaling."}
{"STANDARD_NAME":"GSE9988_ANTI_TREM1_VS_CTRL_TREATED_MONOCYTES_UP","SYSTEMATIC_NAME":"M5850","ORGANISM":"Homo sapiens","PMID":"18292579","AUTHORS":"Dower K,Ellis DK,Saraf K,Jelinsky SA,Lin LL.","GEOID":"GSE9988","EXACT_SOURCE":"GSE9988_2037_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of monocytes treated with anti-TREM1 [GeneID=54210] versus monocytes treated with control IgG.","DESCRIPTION_FULL":"TREM-1 is an orphan immunoreceptor expressed on monocytes, macrophages, and neutrophils. TREM-1 associates with and signals via the adapter protein DAP12/TYROBP, which contains an immunoreceptor tyrosine-based activation motif (ITAM). TREM-1 activation by receptor cross-linking is pro-inflammatory, and can amplify cellular responses to Toll-like receptor (TLR) ligands such as bacterial lipopolysaccharide (LPS). To investigate the cellular consequences of TREM-1 activation, we have characterized global gene expression changes in human monocytes in response to TREM-1 cross-linking in comparison to and combined with LPS. Both TREM-1 activation and LPS up-regulate chemokines, cytokines, matrix metalloproteases, and PTGS/COX2, consistent with a core inflammatory response. However, other immunomodulatory factors are selectively induced, including SPP1 and CSF1 (i.e., M-CSF) by TREM-1 activation and IL-23 and CSF3 (i.e., G-CSF) by LPS. Additionally, cross-talk between TREM-1 activation and LPS occurs on multiple levels. While synergy in GM-CSF protein production is reflected in commensurate mRNA abundance, comparable synergy in IL-1b protein production is not. TREM-1 activation also attenuates the induction of some LPS target genes, including those that encode IL-12 cytokine family subunits. Whereas positive TREM-1 outputs are abolished by the PI3K inhibitor wortmannin, this attenuation is largely PI3K-independent. These experiments provide a detailed analysis of the cellular consequences of TREM-1 activation, and highlight some of the complexity in signal integration between ITAM- and TLR-mediated signaling."}
{"STANDARD_NAME":"GSE9988_ANTI_TREM1_VS_CTRL_TREATED_MONOCYTES_DN","SYSTEMATIC_NAME":"M5851","ORGANISM":"Homo sapiens","PMID":"18292579","AUTHORS":"Dower K,Ellis DK,Saraf K,Jelinsky SA,Lin LL.","GEOID":"GSE9988","EXACT_SOURCE":"GSE9988_2037_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of monocytes treated with anti-TREM1 [GeneID=54210] versus monocytes treated with control IgG.","DESCRIPTION_FULL":"TREM-1 is an orphan immunoreceptor expressed on monocytes, macrophages, and neutrophils. TREM-1 associates with and signals via the adapter protein DAP12/TYROBP, which contains an immunoreceptor tyrosine-based activation motif (ITAM). TREM-1 activation by receptor cross-linking is pro-inflammatory, and can amplify cellular responses to Toll-like receptor (TLR) ligands such as bacterial lipopolysaccharide (LPS). To investigate the cellular consequences of TREM-1 activation, we have characterized global gene expression changes in human monocytes in response to TREM-1 cross-linking in comparison to and combined with LPS. Both TREM-1 activation and LPS up-regulate chemokines, cytokines, matrix metalloproteases, and PTGS/COX2, consistent with a core inflammatory response. However, other immunomodulatory factors are selectively induced, including SPP1 and CSF1 (i.e., M-CSF) by TREM-1 activation and IL-23 and CSF3 (i.e., G-CSF) by LPS. Additionally, cross-talk between TREM-1 activation and LPS occurs on multiple levels. While synergy in GM-CSF protein production is reflected in commensurate mRNA abundance, comparable synergy in IL-1b protein production is not. TREM-1 activation also attenuates the induction of some LPS target genes, including those that encode IL-12 cytokine family subunits. Whereas positive TREM-1 outputs are abolished by the PI3K inhibitor wortmannin, this attenuation is largely PI3K-independent. These experiments provide a detailed analysis of the cellular consequences of TREM-1 activation, and highlight some of the complexity in signal integration between ITAM- and TLR-mediated signaling."}
{"STANDARD_NAME":"GSE9988_ANTI_TREM1_VS_VEHICLE_TREATED_MONOCYTES_UP","SYSTEMATIC_NAME":"M5852","ORGANISM":"Homo sapiens","PMID":"18292579","AUTHORS":"Dower K,Ellis DK,Saraf K,Jelinsky SA,Lin LL.","GEOID":"GSE9988","EXACT_SOURCE":"GSE9988_2038_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of monocytes treated with anti-TREM1 [GeneID=54210] versus untreated monocytes.","DESCRIPTION_FULL":"TREM-1 is an orphan immunoreceptor expressed on monocytes, macrophages, and neutrophils. TREM-1 associates with and signals via the adapter protein DAP12/TYROBP, which contains an immunoreceptor tyrosine-based activation motif (ITAM). TREM-1 activation by receptor cross-linking is pro-inflammatory, and can amplify cellular responses to Toll-like receptor (TLR) ligands such as bacterial lipopolysaccharide (LPS). To investigate the cellular consequences of TREM-1 activation, we have characterized global gene expression changes in human monocytes in response to TREM-1 cross-linking in comparison to and combined with LPS. Both TREM-1 activation and LPS up-regulate chemokines, cytokines, matrix metalloproteases, and PTGS/COX2, consistent with a core inflammatory response. However, other immunomodulatory factors are selectively induced, including SPP1 and CSF1 (i.e., M-CSF) by TREM-1 activation and IL-23 and CSF3 (i.e., G-CSF) by LPS. Additionally, cross-talk between TREM-1 activation and LPS occurs on multiple levels. While synergy in GM-CSF protein production is reflected in commensurate mRNA abundance, comparable synergy in IL-1b protein production is not. TREM-1 activation also attenuates the induction of some LPS target genes, including those that encode IL-12 cytokine family subunits. Whereas positive TREM-1 outputs are abolished by the PI3K inhibitor wortmannin, this attenuation is largely PI3K-independent. These experiments provide a detailed analysis of the cellular consequences of TREM-1 activation, and highlight some of the complexity in signal integration between ITAM- and TLR-mediated signaling."}
{"STANDARD_NAME":"GSE9988_ANTI_TREM1_VS_VEHICLE_TREATED_MONOCYTES_DN","SYSTEMATIC_NAME":"M5853","ORGANISM":"Homo sapiens","PMID":"18292579","AUTHORS":"Dower K,Ellis DK,Saraf K,Jelinsky SA,Lin LL.","GEOID":"GSE9988","EXACT_SOURCE":"GSE9988_2038_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of monocytes treated with anti-TREM1 [GeneID=54210] versus untreated monocytes.","DESCRIPTION_FULL":"TREM-1 is an orphan immunoreceptor expressed on monocytes, macrophages, and neutrophils. TREM-1 associates with and signals via the adapter protein DAP12/TYROBP, which contains an immunoreceptor tyrosine-based activation motif (ITAM). TREM-1 activation by receptor cross-linking is pro-inflammatory, and can amplify cellular responses to Toll-like receptor (TLR) ligands such as bacterial lipopolysaccharide (LPS). To investigate the cellular consequences of TREM-1 activation, we have characterized global gene expression changes in human monocytes in response to TREM-1 cross-linking in comparison to and combined with LPS. Both TREM-1 activation and LPS up-regulate chemokines, cytokines, matrix metalloproteases, and PTGS/COX2, consistent with a core inflammatory response. However, other immunomodulatory factors are selectively induced, including SPP1 and CSF1 (i.e., M-CSF) by TREM-1 activation and IL-23 and CSF3 (i.e., G-CSF) by LPS. Additionally, cross-talk between TREM-1 activation and LPS occurs on multiple levels. While synergy in GM-CSF protein production is reflected in commensurate mRNA abundance, comparable synergy in IL-1b protein production is not. TREM-1 activation also attenuates the induction of some LPS target genes, including those that encode IL-12 cytokine family subunits. Whereas positive TREM-1 outputs are abolished by the PI3K inhibitor wortmannin, this attenuation is largely PI3K-independent. These experiments provide a detailed analysis of the cellular consequences of TREM-1 activation, and highlight some of the complexity in signal integration between ITAM- and TLR-mediated signaling."}
{"STANDARD_NAME":"GSE9988_LPS_VS_LOW_LPS_MONOCYTE_UP","SYSTEMATIC_NAME":"M5854","ORGANISM":"Homo sapiens","PMID":"18292579","AUTHORS":"Dower K,Ellis DK,Saraf K,Jelinsky SA,Lin LL.","GEOID":"GSE9988","EXACT_SOURCE":"GSE9988_2039_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of monocytes treated with 5000 ng/ml LPS (TLR4 agonist) versus those treated with 1 ng/ml LPS (TLR4 agonist).","DESCRIPTION_FULL":"TREM-1 is an orphan immunoreceptor expressed on monocytes, macrophages, and neutrophils. TREM-1 associates with and signals via the adapter protein DAP12/TYROBP, which contains an immunoreceptor tyrosine-based activation motif (ITAM). TREM-1 activation by receptor cross-linking is pro-inflammatory, and can amplify cellular responses to Toll-like receptor (TLR) ligands such as bacterial lipopolysaccharide (LPS). To investigate the cellular consequences of TREM-1 activation, we have characterized global gene expression changes in human monocytes in response to TREM-1 cross-linking in comparison to and combined with LPS. Both TREM-1 activation and LPS up-regulate chemokines, cytokines, matrix metalloproteases, and PTGS/COX2, consistent with a core inflammatory response. However, other immunomodulatory factors are selectively induced, including SPP1 and CSF1 (i.e., M-CSF) by TREM-1 activation and IL-23 and CSF3 (i.e., G-CSF) by LPS. Additionally, cross-talk between TREM-1 activation and LPS occurs on multiple levels. While synergy in GM-CSF protein production is reflected in commensurate mRNA abundance, comparable synergy in IL-1b protein production is not. TREM-1 activation also attenuates the induction of some LPS target genes, including those that encode IL-12 cytokine family subunits. Whereas positive TREM-1 outputs are abolished by the PI3K inhibitor wortmannin, this attenuation is largely PI3K-independent. These experiments provide a detailed analysis of the cellular consequences of TREM-1 activation, and highlight some of the complexity in signal integration between ITAM- and TLR-mediated signaling."}
{"STANDARD_NAME":"GSE9988_LPS_VS_LOW_LPS_MONOCYTE_DN","SYSTEMATIC_NAME":"M5855","ORGANISM":"Homo sapiens","PMID":"18292579","AUTHORS":"Dower K,Ellis DK,Saraf K,Jelinsky SA,Lin LL.","GEOID":"GSE9988","EXACT_SOURCE":"GSE9988_2039_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of monocytes treated with 5000 ng/ml LPS (TLR4 agonist) versus those treated with 1 ng/ml LPS (TLR4 agonist).","DESCRIPTION_FULL":"TREM-1 is an orphan immunoreceptor expressed on monocytes, macrophages, and neutrophils. TREM-1 associates with and signals via the adapter protein DAP12/TYROBP, which contains an immunoreceptor tyrosine-based activation motif (ITAM). TREM-1 activation by receptor cross-linking is pro-inflammatory, and can amplify cellular responses to Toll-like receptor (TLR) ligands such as bacterial lipopolysaccharide (LPS). To investigate the cellular consequences of TREM-1 activation, we have characterized global gene expression changes in human monocytes in response to TREM-1 cross-linking in comparison to and combined with LPS. Both TREM-1 activation and LPS up-regulate chemokines, cytokines, matrix metalloproteases, and PTGS/COX2, consistent with a core inflammatory response. However, other immunomodulatory factors are selectively induced, including SPP1 and CSF1 (i.e., M-CSF) by TREM-1 activation and IL-23 and CSF3 (i.e., G-CSF) by LPS. Additionally, cross-talk between TREM-1 activation and LPS occurs on multiple levels. While synergy in GM-CSF protein production is reflected in commensurate mRNA abundance, comparable synergy in IL-1b protein production is not. TREM-1 activation also attenuates the induction of some LPS target genes, including those that encode IL-12 cytokine family subunits. Whereas positive TREM-1 outputs are abolished by the PI3K inhibitor wortmannin, this attenuation is largely PI3K-independent. These experiments provide a detailed analysis of the cellular consequences of TREM-1 activation, and highlight some of the complexity in signal integration between ITAM- and TLR-mediated signaling."}
{"STANDARD_NAME":"GSE9988_LPS_VS_LPS_AND_ANTI_TREM1_MONOCYTE_UP","SYSTEMATIC_NAME":"M5856","ORGANISM":"Homo sapiens","PMID":"18292579","AUTHORS":"Dower K,Ellis DK,Saraf K,Jelinsky SA,Lin LL.","GEOID":"GSE9988","EXACT_SOURCE":"GSE9988_2040_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of monocytes treated with 5000 ng/ml LPS (TLR4 agonist) versus monocytes treated with anti-TREM1 [GeneID=54210].","DESCRIPTION_FULL":"TREM-1 is an orphan immunoreceptor expressed on monocytes, macrophages, and neutrophils. TREM-1 associates with and signals via the adapter protein DAP12/TYROBP, which contains an immunoreceptor tyrosine-based activation motif (ITAM). TREM-1 activation by receptor cross-linking is pro-inflammatory, and can amplify cellular responses to Toll-like receptor (TLR) ligands such as bacterial lipopolysaccharide (LPS). To investigate the cellular consequences of TREM-1 activation, we have characterized global gene expression changes in human monocytes in response to TREM-1 cross-linking in comparison to and combined with LPS. Both TREM-1 activation and LPS up-regulate chemokines, cytokines, matrix metalloproteases, and PTGS/COX2, consistent with a core inflammatory response. However, other immunomodulatory factors are selectively induced, including SPP1 and CSF1 (i.e., M-CSF) by TREM-1 activation and IL-23 and CSF3 (i.e., G-CSF) by LPS. Additionally, cross-talk between TREM-1 activation and LPS occurs on multiple levels. While synergy in GM-CSF protein production is reflected in commensurate mRNA abundance, comparable synergy in IL-1b protein production is not. TREM-1 activation also attenuates the induction of some LPS target genes, including those that encode IL-12 cytokine family subunits. Whereas positive TREM-1 outputs are abolished by the PI3K inhibitor wortmannin, this attenuation is largely PI3K-independent. These experiments provide a detailed analysis of the cellular consequences of TREM-1 activation, and highlight some of the complexity in signal integration between ITAM- and TLR-mediated signaling."}
{"STANDARD_NAME":"GSE9988_LPS_VS_LPS_AND_ANTI_TREM1_MONOCYTE_DN","SYSTEMATIC_NAME":"M5857","ORGANISM":"Homo sapiens","PMID":"18292579","AUTHORS":"Dower K,Ellis DK,Saraf K,Jelinsky SA,Lin LL.","GEOID":"GSE9988","EXACT_SOURCE":"GSE9988_2040_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of monocytes treated with 5000 ng/ml LPS (TLR4 agonist) versus monocytes treated with anti-TREM1 [GeneID=54210].","DESCRIPTION_FULL":"TREM-1 is an orphan immunoreceptor expressed on monocytes, macrophages, and neutrophils. TREM-1 associates with and signals via the adapter protein DAP12/TYROBP, which contains an immunoreceptor tyrosine-based activation motif (ITAM). TREM-1 activation by receptor cross-linking is pro-inflammatory, and can amplify cellular responses to Toll-like receptor (TLR) ligands such as bacterial lipopolysaccharide (LPS). To investigate the cellular consequences of TREM-1 activation, we have characterized global gene expression changes in human monocytes in response to TREM-1 cross-linking in comparison to and combined with LPS. Both TREM-1 activation and LPS up-regulate chemokines, cytokines, matrix metalloproteases, and PTGS/COX2, consistent with a core inflammatory response. However, other immunomodulatory factors are selectively induced, including SPP1 and CSF1 (i.e., M-CSF) by TREM-1 activation and IL-23 and CSF3 (i.e., G-CSF) by LPS. Additionally, cross-talk between TREM-1 activation and LPS occurs on multiple levels. While synergy in GM-CSF protein production is reflected in commensurate mRNA abundance, comparable synergy in IL-1b protein production is not. TREM-1 activation also attenuates the induction of some LPS target genes, including those that encode IL-12 cytokine family subunits. Whereas positive TREM-1 outputs are abolished by the PI3K inhibitor wortmannin, this attenuation is largely PI3K-independent. These experiments provide a detailed analysis of the cellular consequences of TREM-1 activation, and highlight some of the complexity in signal integration between ITAM- and TLR-mediated signaling."}
{"STANDARD_NAME":"GSE9988_LPS_VS_CTRL_TREATED_MONOCYTE_UP","SYSTEMATIC_NAME":"M5858","ORGANISM":"Homo sapiens","PMID":"18292579","AUTHORS":"Dower K,Ellis DK,Saraf K,Jelinsky SA,Lin LL.","GEOID":"GSE9988","EXACT_SOURCE":"GSE9988_2041_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of monocytes treated with 5000 ng/ml LPS (TLR4 agonist) versus monocytes treated with control IgG.","DESCRIPTION_FULL":"TREM-1 is an orphan immunoreceptor expressed on monocytes, macrophages, and neutrophils. TREM-1 associates with and signals via the adapter protein DAP12/TYROBP, which contains an immunoreceptor tyrosine-based activation motif (ITAM). TREM-1 activation by receptor cross-linking is pro-inflammatory, and can amplify cellular responses to Toll-like receptor (TLR) ligands such as bacterial lipopolysaccharide (LPS). To investigate the cellular consequences of TREM-1 activation, we have characterized global gene expression changes in human monocytes in response to TREM-1 cross-linking in comparison to and combined with LPS. Both TREM-1 activation and LPS up-regulate chemokines, cytokines, matrix metalloproteases, and PTGS/COX2, consistent with a core inflammatory response. However, other immunomodulatory factors are selectively induced, including SPP1 and CSF1 (i.e., M-CSF) by TREM-1 activation and IL-23 and CSF3 (i.e., G-CSF) by LPS. Additionally, cross-talk between TREM-1 activation and LPS occurs on multiple levels. While synergy in GM-CSF protein production is reflected in commensurate mRNA abundance, comparable synergy in IL-1b protein production is not. TREM-1 activation also attenuates the induction of some LPS target genes, including those that encode IL-12 cytokine family subunits. Whereas positive TREM-1 outputs are abolished by the PI3K inhibitor wortmannin, this attenuation is largely PI3K-independent. These experiments provide a detailed analysis of the cellular consequences of TREM-1 activation, and highlight some of the complexity in signal integration between ITAM- and TLR-mediated signaling."}
{"STANDARD_NAME":"GSE9988_LPS_VS_CTRL_TREATED_MONOCYTE_DN","SYSTEMATIC_NAME":"M5859","ORGANISM":"Homo sapiens","PMID":"18292579","AUTHORS":"Dower K,Ellis DK,Saraf K,Jelinsky SA,Lin LL.","GEOID":"GSE9988","EXACT_SOURCE":"GSE9988_2041_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of monocytes treated with 5000 ng/ml LPS (TLR4 agonist) versus monocytes treated with control IgG.","DESCRIPTION_FULL":"TREM-1 is an orphan immunoreceptor expressed on monocytes, macrophages, and neutrophils. TREM-1 associates with and signals via the adapter protein DAP12/TYROBP, which contains an immunoreceptor tyrosine-based activation motif (ITAM). TREM-1 activation by receptor cross-linking is pro-inflammatory, and can amplify cellular responses to Toll-like receptor (TLR) ligands such as bacterial lipopolysaccharide (LPS). To investigate the cellular consequences of TREM-1 activation, we have characterized global gene expression changes in human monocytes in response to TREM-1 cross-linking in comparison to and combined with LPS. Both TREM-1 activation and LPS up-regulate chemokines, cytokines, matrix metalloproteases, and PTGS/COX2, consistent with a core inflammatory response. However, other immunomodulatory factors are selectively induced, including SPP1 and CSF1 (i.e., M-CSF) by TREM-1 activation and IL-23 and CSF3 (i.e., G-CSF) by LPS. Additionally, cross-talk between TREM-1 activation and LPS occurs on multiple levels. While synergy in GM-CSF protein production is reflected in commensurate mRNA abundance, comparable synergy in IL-1b protein production is not. TREM-1 activation also attenuates the induction of some LPS target genes, including those that encode IL-12 cytokine family subunits. Whereas positive TREM-1 outputs are abolished by the PI3K inhibitor wortmannin, this attenuation is largely PI3K-independent. These experiments provide a detailed analysis of the cellular consequences of TREM-1 activation, and highlight some of the complexity in signal integration between ITAM- and TLR-mediated signaling."}
{"STANDARD_NAME":"GSE9988_LPS_VS_VEHICLE_TREATED_MONOCYTE_UP","SYSTEMATIC_NAME":"M5860","ORGANISM":"Homo sapiens","PMID":"18292579","AUTHORS":"Dower K,Ellis DK,Saraf K,Jelinsky SA,Lin LL.","GEOID":"GSE9988","EXACT_SOURCE":"GSE9988_2042_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of monocytes treated with 1 ng/ml LPS (TLR4 agonist) versus untreated monocytes.","DESCRIPTION_FULL":"TREM-1 is an orphan immunoreceptor expressed on monocytes, macrophages, and neutrophils. TREM-1 associates with and signals via the adapter protein DAP12/TYROBP, which contains an immunoreceptor tyrosine-based activation motif (ITAM). TREM-1 activation by receptor cross-linking is pro-inflammatory, and can amplify cellular responses to Toll-like receptor (TLR) ligands such as bacterial lipopolysaccharide (LPS). To investigate the cellular consequences of TREM-1 activation, we have characterized global gene expression changes in human monocytes in response to TREM-1 cross-linking in comparison to and combined with LPS. Both TREM-1 activation and LPS up-regulate chemokines, cytokines, matrix metalloproteases, and PTGS/COX2, consistent with a core inflammatory response. However, other immunomodulatory factors are selectively induced, including SPP1 and CSF1 (i.e., M-CSF) by TREM-1 activation and IL-23 and CSF3 (i.e., G-CSF) by LPS. Additionally, cross-talk between TREM-1 activation and LPS occurs on multiple levels. While synergy in GM-CSF protein production is reflected in commensurate mRNA abundance, comparable synergy in IL-1b protein production is not. TREM-1 activation also attenuates the induction of some LPS target genes, including those that encode IL-12 cytokine family subunits. Whereas positive TREM-1 outputs are abolished by the PI3K inhibitor wortmannin, this attenuation is largely PI3K-independent. These experiments provide a detailed analysis of the cellular consequences of TREM-1 activation, and highlight some of the complexity in signal integration between ITAM- and TLR-mediated signaling."}
{"STANDARD_NAME":"GSE9988_LPS_VS_VEHICLE_TREATED_MONOCYTE_DN","SYSTEMATIC_NAME":"M5861","ORGANISM":"Homo sapiens","PMID":"18292579","AUTHORS":"Dower K,Ellis DK,Saraf K,Jelinsky SA,Lin LL.","GEOID":"GSE9988","EXACT_SOURCE":"GSE9988_2042_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of monocytes treated with 1 ng/ml LPS (TLR4 agonist) versus untreated monocytes.","DESCRIPTION_FULL":"TREM-1 is an orphan immunoreceptor expressed on monocytes, macrophages, and neutrophils. TREM-1 associates with and signals via the adapter protein DAP12/TYROBP, which contains an immunoreceptor tyrosine-based activation motif (ITAM). TREM-1 activation by receptor cross-linking is pro-inflammatory, and can amplify cellular responses to Toll-like receptor (TLR) ligands such as bacterial lipopolysaccharide (LPS). To investigate the cellular consequences of TREM-1 activation, we have characterized global gene expression changes in human monocytes in response to TREM-1 cross-linking in comparison to and combined with LPS. Both TREM-1 activation and LPS up-regulate chemokines, cytokines, matrix metalloproteases, and PTGS/COX2, consistent with a core inflammatory response. However, other immunomodulatory factors are selectively induced, including SPP1 and CSF1 (i.e., M-CSF) by TREM-1 activation and IL-23 and CSF3 (i.e., G-CSF) by LPS. Additionally, cross-talk between TREM-1 activation and LPS occurs on multiple levels. While synergy in GM-CSF protein production is reflected in commensurate mRNA abundance, comparable synergy in IL-1b protein production is not. TREM-1 activation also attenuates the induction of some LPS target genes, including those that encode IL-12 cytokine family subunits. Whereas positive TREM-1 outputs are abolished by the PI3K inhibitor wortmannin, this attenuation is largely PI3K-independent. These experiments provide a detailed analysis of the cellular consequences of TREM-1 activation, and highlight some of the complexity in signal integration between ITAM- and TLR-mediated signaling."}
{"STANDARD_NAME":"GSE9988_LOW_LPS_VS_ANTI_TREM1_AND_LPS_MONOCYTE_UP","SYSTEMATIC_NAME":"M5862","ORGANISM":"Homo sapiens","PMID":"18292579","AUTHORS":"Dower K,Ellis DK,Saraf K,Jelinsky SA,Lin LL.","GEOID":"GSE9988","EXACT_SOURCE":"GSE9988_2043_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of monocytes treated with 1 ng/ml LPS (TLR4 agonist) versus monocytes treated with anti-TREM1 [GeneID=54210] and 5000 ng/ml LPS (TLR4 agonist).","DESCRIPTION_FULL":"TREM-1 is an orphan immunoreceptor expressed on monocytes, macrophages, and neutrophils. TREM-1 associates with and signals via the adapter protein DAP12/TYROBP, which contains an immunoreceptor tyrosine-based activation motif (ITAM). TREM-1 activation by receptor cross-linking is pro-inflammatory, and can amplify cellular responses to Toll-like receptor (TLR) ligands such as bacterial lipopolysaccharide (LPS). To investigate the cellular consequences of TREM-1 activation, we have characterized global gene expression changes in human monocytes in response to TREM-1 cross-linking in comparison to and combined with LPS. Both TREM-1 activation and LPS up-regulate chemokines, cytokines, matrix metalloproteases, and PTGS/COX2, consistent with a core inflammatory response. However, other immunomodulatory factors are selectively induced, including SPP1 and CSF1 (i.e., M-CSF) by TREM-1 activation and IL-23 and CSF3 (i.e., G-CSF) by LPS. Additionally, cross-talk between TREM-1 activation and LPS occurs on multiple levels. While synergy in GM-CSF protein production is reflected in commensurate mRNA abundance, comparable synergy in IL-1b protein production is not. TREM-1 activation also attenuates the induction of some LPS target genes, including those that encode IL-12 cytokine family subunits. Whereas positive TREM-1 outputs are abolished by the PI3K inhibitor wortmannin, this attenuation is largely PI3K-independent. These experiments provide a detailed analysis of the cellular consequences of TREM-1 activation, and highlight some of the complexity in signal integration between ITAM- and TLR-mediated signaling."}
{"STANDARD_NAME":"GSE9988_LOW_LPS_VS_ANTI_TREM1_AND_LPS_MONOCYTE_DN","SYSTEMATIC_NAME":"M5865","ORGANISM":"Homo sapiens","PMID":"18292579","AUTHORS":"Dower K,Ellis DK,Saraf K,Jelinsky SA,Lin LL.","GEOID":"GSE9988","EXACT_SOURCE":"GSE9988_2043_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of monocytes treated with 1 ng/ml LPS (TLR4 agonist) versus monocytes treated with anti-TREM1 [GeneID=54210] and 5000 ng/ml LPS (TLR4 agonist).","DESCRIPTION_FULL":"TREM-1 is an orphan immunoreceptor expressed on monocytes, macrophages, and neutrophils. TREM-1 associates with and signals via the adapter protein DAP12/TYROBP, which contains an immunoreceptor tyrosine-based activation motif (ITAM). TREM-1 activation by receptor cross-linking is pro-inflammatory, and can amplify cellular responses to Toll-like receptor (TLR) ligands such as bacterial lipopolysaccharide (LPS). To investigate the cellular consequences of TREM-1 activation, we have characterized global gene expression changes in human monocytes in response to TREM-1 cross-linking in comparison to and combined with LPS. Both TREM-1 activation and LPS up-regulate chemokines, cytokines, matrix metalloproteases, and PTGS/COX2, consistent with a core inflammatory response. However, other immunomodulatory factors are selectively induced, including SPP1 and CSF1 (i.e., M-CSF) by TREM-1 activation and IL-23 and CSF3 (i.e., G-CSF) by LPS. Additionally, cross-talk between TREM-1 activation and LPS occurs on multiple levels. While synergy in GM-CSF protein production is reflected in commensurate mRNA abundance, comparable synergy in IL-1b protein production is not. TREM-1 activation also attenuates the induction of some LPS target genes, including those that encode IL-12 cytokine family subunits. Whereas positive TREM-1 outputs are abolished by the PI3K inhibitor wortmannin, this attenuation is largely PI3K-independent. These experiments provide a detailed analysis of the cellular consequences of TREM-1 activation, and highlight some of the complexity in signal integration between ITAM- and TLR-mediated signaling."}
{"STANDARD_NAME":"GSE9988_LOW_LPS_VS_CTRL_TREATED_MONOCYTE_UP","SYSTEMATIC_NAME":"M5867","ORGANISM":"Homo sapiens","PMID":"18292579","AUTHORS":"Dower K,Ellis DK,Saraf K,Jelinsky SA,Lin LL.","GEOID":"GSE9988","EXACT_SOURCE":"GSE9988_2044_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of monocytes treated with 1 ng/ml LPS (TLR4 agonist) versus monocytes treated with control IgG.","DESCRIPTION_FULL":"TREM-1 is an orphan immunoreceptor expressed on monocytes, macrophages, and neutrophils. TREM-1 associates with and signals via the adapter protein DAP12/TYROBP, which contains an immunoreceptor tyrosine-based activation motif (ITAM). TREM-1 activation by receptor cross-linking is pro-inflammatory, and can amplify cellular responses to Toll-like receptor (TLR) ligands such as bacterial lipopolysaccharide (LPS). To investigate the cellular consequences of TREM-1 activation, we have characterized global gene expression changes in human monocytes in response to TREM-1 cross-linking in comparison to and combined with LPS. Both TREM-1 activation and LPS up-regulate chemokines, cytokines, matrix metalloproteases, and PTGS/COX2, consistent with a core inflammatory response. However, other immunomodulatory factors are selectively induced, including SPP1 and CSF1 (i.e., M-CSF) by TREM-1 activation and IL-23 and CSF3 (i.e., G-CSF) by LPS. Additionally, cross-talk between TREM-1 activation and LPS occurs on multiple levels. While synergy in GM-CSF protein production is reflected in commensurate mRNA abundance, comparable synergy in IL-1b protein production is not. TREM-1 activation also attenuates the induction of some LPS target genes, including those that encode IL-12 cytokine family subunits. Whereas positive TREM-1 outputs are abolished by the PI3K inhibitor wortmannin, this attenuation is largely PI3K-independent. These experiments provide a detailed analysis of the cellular consequences of TREM-1 activation, and highlight some of the complexity in signal integration between ITAM- and TLR-mediated signaling."}
{"STANDARD_NAME":"GSE9988_LOW_LPS_VS_CTRL_TREATED_MONOCYTE_DN","SYSTEMATIC_NAME":"M5870","ORGANISM":"Homo sapiens","PMID":"18292579","AUTHORS":"Dower K,Ellis DK,Saraf K,Jelinsky SA,Lin LL.","GEOID":"GSE9988","EXACT_SOURCE":"GSE9988_2044_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of monocytes treated with 1 ng/ml LPS (TLR4 agonist) versus monocytes treated with control IgG.","DESCRIPTION_FULL":"TREM-1 is an orphan immunoreceptor expressed on monocytes, macrophages, and neutrophils. TREM-1 associates with and signals via the adapter protein DAP12/TYROBP, which contains an immunoreceptor tyrosine-based activation motif (ITAM). TREM-1 activation by receptor cross-linking is pro-inflammatory, and can amplify cellular responses to Toll-like receptor (TLR) ligands such as bacterial lipopolysaccharide (LPS). To investigate the cellular consequences of TREM-1 activation, we have characterized global gene expression changes in human monocytes in response to TREM-1 cross-linking in comparison to and combined with LPS. Both TREM-1 activation and LPS up-regulate chemokines, cytokines, matrix metalloproteases, and PTGS/COX2, consistent with a core inflammatory response. However, other immunomodulatory factors are selectively induced, including SPP1 and CSF1 (i.e., M-CSF) by TREM-1 activation and IL-23 and CSF3 (i.e., G-CSF) by LPS. Additionally, cross-talk between TREM-1 activation and LPS occurs on multiple levels. While synergy in GM-CSF protein production is reflected in commensurate mRNA abundance, comparable synergy in IL-1b protein production is not. TREM-1 activation also attenuates the induction of some LPS target genes, including those that encode IL-12 cytokine family subunits. Whereas positive TREM-1 outputs are abolished by the PI3K inhibitor wortmannin, this attenuation is largely PI3K-independent. These experiments provide a detailed analysis of the cellular consequences of TREM-1 activation, and highlight some of the complexity in signal integration between ITAM- and TLR-mediated signaling."}
{"STANDARD_NAME":"GSE9988_LOW_LPS_VS_VEHICLE_TREATED_MONOCYTE_UP","SYSTEMATIC_NAME":"M5873","ORGANISM":"Homo sapiens","PMID":"18292579","AUTHORS":"Dower K,Ellis DK,Saraf K,Jelinsky SA,Lin LL.","GEOID":"GSE9988","EXACT_SOURCE":"GSE9988_2045_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of monocytes treated with 1 ng/ml LPS (TLR4 agonist) versus untreated monocytes.","DESCRIPTION_FULL":"TREM-1 is an orphan immunoreceptor expressed on monocytes, macrophages, and neutrophils. TREM-1 associates with and signals via the adapter protein DAP12/TYROBP, which contains an immunoreceptor tyrosine-based activation motif (ITAM). TREM-1 activation by receptor cross-linking is pro-inflammatory, and can amplify cellular responses to Toll-like receptor (TLR) ligands such as bacterial lipopolysaccharide (LPS). To investigate the cellular consequences of TREM-1 activation, we have characterized global gene expression changes in human monocytes in response to TREM-1 cross-linking in comparison to and combined with LPS. Both TREM-1 activation and LPS up-regulate chemokines, cytokines, matrix metalloproteases, and PTGS/COX2, consistent with a core inflammatory response. However, other immunomodulatory factors are selectively induced, including SPP1 and CSF1 (i.e., M-CSF) by TREM-1 activation and IL-23 and CSF3 (i.e., G-CSF) by LPS. Additionally, cross-talk between TREM-1 activation and LPS occurs on multiple levels. While synergy in GM-CSF protein production is reflected in commensurate mRNA abundance, comparable synergy in IL-1b protein production is not. TREM-1 activation also attenuates the induction of some LPS target genes, including those that encode IL-12 cytokine family subunits. Whereas positive TREM-1 outputs are abolished by the PI3K inhibitor wortmannin, this attenuation is largely PI3K-independent. These experiments provide a detailed analysis of the cellular consequences of TREM-1 activation, and highlight some of the complexity in signal integration between ITAM- and TLR-mediated signaling."}
{"STANDARD_NAME":"GSE9988_LOW_LPS_VS_VEHICLE_TREATED_MONOCYTE_DN","SYSTEMATIC_NAME":"M5874","ORGANISM":"Homo sapiens","PMID":"18292579","AUTHORS":"Dower K,Ellis DK,Saraf K,Jelinsky SA,Lin LL.","GEOID":"GSE9988","EXACT_SOURCE":"GSE9988_2045_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of monocytes treated with 1 ng/ml LPS (TLR4 agonist) versus untreated monocytes.","DESCRIPTION_FULL":"TREM-1 is an orphan immunoreceptor expressed on monocytes, macrophages, and neutrophils. TREM-1 associates with and signals via the adapter protein DAP12/TYROBP, which contains an immunoreceptor tyrosine-based activation motif (ITAM). TREM-1 activation by receptor cross-linking is pro-inflammatory, and can amplify cellular responses to Toll-like receptor (TLR) ligands such as bacterial lipopolysaccharide (LPS). To investigate the cellular consequences of TREM-1 activation, we have characterized global gene expression changes in human monocytes in response to TREM-1 cross-linking in comparison to and combined with LPS. Both TREM-1 activation and LPS up-regulate chemokines, cytokines, matrix metalloproteases, and PTGS/COX2, consistent with a core inflammatory response. However, other immunomodulatory factors are selectively induced, including SPP1 and CSF1 (i.e., M-CSF) by TREM-1 activation and IL-23 and CSF3 (i.e., G-CSF) by LPS. Additionally, cross-talk between TREM-1 activation and LPS occurs on multiple levels. While synergy in GM-CSF protein production is reflected in commensurate mRNA abundance, comparable synergy in IL-1b protein production is not. TREM-1 activation also attenuates the induction of some LPS target genes, including those that encode IL-12 cytokine family subunits. Whereas positive TREM-1 outputs are abolished by the PI3K inhibitor wortmannin, this attenuation is largely PI3K-independent. These experiments provide a detailed analysis of the cellular consequences of TREM-1 activation, and highlight some of the complexity in signal integration between ITAM- and TLR-mediated signaling."}
{"STANDARD_NAME":"GSE9988_ANTI_TREM1_AND_LPS_VS_CTRL_TREATED_MONOCYTES_UP","SYSTEMATIC_NAME":"M5875","ORGANISM":"Homo sapiens","PMID":"18292579","AUTHORS":"Dower K,Ellis DK,Saraf K,Jelinsky SA,Lin LL.","GEOID":"GSE9988","EXACT_SOURCE":"GSE9988_2046_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of monocytes treated with anti-TREM1 [GeneID=54210] and 5000 ng/ml LPS (TLR4 agonist) versus monocytes treated with control IgG.","DESCRIPTION_FULL":"TREM-1 is an orphan immunoreceptor expressed on monocytes, macrophages, and neutrophils. TREM-1 associates with and signals via the adapter protein DAP12/TYROBP, which contains an immunoreceptor tyrosine-based activation motif (ITAM). TREM-1 activation by receptor cross-linking is pro-inflammatory, and can amplify cellular responses to Toll-like receptor (TLR) ligands such as bacterial lipopolysaccharide (LPS). To investigate the cellular consequences of TREM-1 activation, we have characterized global gene expression changes in human monocytes in response to TREM-1 cross-linking in comparison to and combined with LPS. Both TREM-1 activation and LPS up-regulate chemokines, cytokines, matrix metalloproteases, and PTGS/COX2, consistent with a core inflammatory response. However, other immunomodulatory factors are selectively induced, including SPP1 and CSF1 (i.e., M-CSF) by TREM-1 activation and IL-23 and CSF3 (i.e., G-CSF) by LPS. Additionally, cross-talk between TREM-1 activation and LPS occurs on multiple levels. While synergy in GM-CSF protein production is reflected in commensurate mRNA abundance, comparable synergy in IL-1b protein production is not. TREM-1 activation also attenuates the induction of some LPS target genes, including those that encode IL-12 cytokine family subunits. Whereas positive TREM-1 outputs are abolished by the PI3K inhibitor wortmannin, this attenuation is largely PI3K-independent. These experiments provide a detailed analysis of the cellular consequences of TREM-1 activation, and highlight some of the complexity in signal integration between ITAM- and TLR-mediated signaling."}
{"STANDARD_NAME":"GSE9988_ANTI_TREM1_AND_LPS_VS_CTRL_TREATED_MONOCYTES_DN","SYSTEMATIC_NAME":"M5877","ORGANISM":"Homo sapiens","PMID":"18292579","AUTHORS":"Dower K,Ellis DK,Saraf K,Jelinsky SA,Lin LL.","GEOID":"GSE9988","EXACT_SOURCE":"GSE9988_2046_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of monocytes treated with anti-TREM1 [GeneID=54210] and 5000 ng/ml LPS (TLR4 agonist) versus monocytes treated with control IgG.","DESCRIPTION_FULL":"TREM-1 is an orphan immunoreceptor expressed on monocytes, macrophages, and neutrophils. TREM-1 associates with and signals via the adapter protein DAP12/TYROBP, which contains an immunoreceptor tyrosine-based activation motif (ITAM). TREM-1 activation by receptor cross-linking is pro-inflammatory, and can amplify cellular responses to Toll-like receptor (TLR) ligands such as bacterial lipopolysaccharide (LPS). To investigate the cellular consequences of TREM-1 activation, we have characterized global gene expression changes in human monocytes in response to TREM-1 cross-linking in comparison to and combined with LPS. Both TREM-1 activation and LPS up-regulate chemokines, cytokines, matrix metalloproteases, and PTGS/COX2, consistent with a core inflammatory response. However, other immunomodulatory factors are selectively induced, including SPP1 and CSF1 (i.e., M-CSF) by TREM-1 activation and IL-23 and CSF3 (i.e., G-CSF) by LPS. Additionally, cross-talk between TREM-1 activation and LPS occurs on multiple levels. While synergy in GM-CSF protein production is reflected in commensurate mRNA abundance, comparable synergy in IL-1b protein production is not. TREM-1 activation also attenuates the induction of some LPS target genes, including those that encode IL-12 cytokine family subunits. Whereas positive TREM-1 outputs are abolished by the PI3K inhibitor wortmannin, this attenuation is largely PI3K-independent. These experiments provide a detailed analysis of the cellular consequences of TREM-1 activation, and highlight some of the complexity in signal integration between ITAM- and TLR-mediated signaling."}
{"STANDARD_NAME":"GSE9988_ANTI_TREM1_AND_LPS_VS_VEHICLE_TREATED_MONOCYTES_UP","SYSTEMATIC_NAME":"M5878","ORGANISM":"Homo sapiens","PMID":"18292579","AUTHORS":"Dower K,Ellis DK,Saraf K,Jelinsky SA,Lin LL.","GEOID":"GSE9988","EXACT_SOURCE":"GSE9988_2047_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in comparison of monocytes treated with anti-TREM1 [GeneID=54210] and 5000 ng/ml LPS (TLR4 agonist) versus untreated monocytes.","DESCRIPTION_FULL":"TREM-1 is an orphan immunoreceptor expressed on monocytes, macrophages, and neutrophils. TREM-1 associates with and signals via the adapter protein DAP12/TYROBP, which contains an immunoreceptor tyrosine-based activation motif (ITAM). TREM-1 activation by receptor cross-linking is pro-inflammatory, and can amplify cellular responses to Toll-like receptor (TLR) ligands such as bacterial lipopolysaccharide (LPS). To investigate the cellular consequences of TREM-1 activation, we have characterized global gene expression changes in human monocytes in response to TREM-1 cross-linking in comparison to and combined with LPS. Both TREM-1 activation and LPS up-regulate chemokines, cytokines, matrix metalloproteases, and PTGS/COX2, consistent with a core inflammatory response. However, other immunomodulatory factors are selectively induced, including SPP1 and CSF1 (i.e., M-CSF) by TREM-1 activation and IL-23 and CSF3 (i.e., G-CSF) by LPS. Additionally, cross-talk between TREM-1 activation and LPS occurs on multiple levels. While synergy in GM-CSF protein production is reflected in commensurate mRNA abundance, comparable synergy in IL-1b protein production is not. TREM-1 activation also attenuates the induction of some LPS target genes, including those that encode IL-12 cytokine family subunits. Whereas positive TREM-1 outputs are abolished by the PI3K inhibitor wortmannin, this attenuation is largely PI3K-independent. These experiments provide a detailed analysis of the cellular consequences of TREM-1 activation, and highlight some of the complexity in signal integration between ITAM- and TLR-mediated signaling."}
{"STANDARD_NAME":"GSE9988_ANTI_TREM1_AND_LPS_VS_VEHICLE_TREATED_MONOCYTES_DN","SYSTEMATIC_NAME":"M5879","ORGANISM":"Homo sapiens","PMID":"18292579","AUTHORS":"Dower K,Ellis DK,Saraf K,Jelinsky SA,Lin LL.","GEOID":"GSE9988","EXACT_SOURCE":"GSE9988_2047_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in comparison of monocytes treated with anti-TREM1 [GeneID=54210] and 5000 ng/ml LPS (TLR4 agonist) versus untreated monocytes.","DESCRIPTION_FULL":"TREM-1 is an orphan immunoreceptor expressed on monocytes, macrophages, and neutrophils. TREM-1 associates with and signals via the adapter protein DAP12/TYROBP, which contains an immunoreceptor tyrosine-based activation motif (ITAM). TREM-1 activation by receptor cross-linking is pro-inflammatory, and can amplify cellular responses to Toll-like receptor (TLR) ligands such as bacterial lipopolysaccharide (LPS). To investigate the cellular consequences of TREM-1 activation, we have characterized global gene expression changes in human monocytes in response to TREM-1 cross-linking in comparison to and combined with LPS. Both TREM-1 activation and LPS up-regulate chemokines, cytokines, matrix metalloproteases, and PTGS/COX2, consistent with a core inflammatory response. However, other immunomodulatory factors are selectively induced, including SPP1 and CSF1 (i.e., M-CSF) by TREM-1 activation and IL-23 and CSF3 (i.e., G-CSF) by LPS. Additionally, cross-talk between TREM-1 activation and LPS occurs on multiple levels. While synergy in GM-CSF protein production is reflected in commensurate mRNA abundance, comparable synergy in IL-1b protein production is not. TREM-1 activation also attenuates the induction of some LPS target genes, including those that encode IL-12 cytokine family subunits. Whereas positive TREM-1 outputs are abolished by the PI3K inhibitor wortmannin, this attenuation is largely PI3K-independent. These experiments provide a detailed analysis of the cellular consequences of TREM-1 activation, and highlight some of the complexity in signal integration between ITAM- and TLR-mediated signaling."}
{"STANDARD_NAME":"GSE369_SOCS3_KO_VS_WT_LIVER_UP","SYSTEMATIC_NAME":"M5960","ORGANISM":"Mus musculus","PMID":"12754505","AUTHORS":"Croker BA,Krebs DL,Zhang JG,Wormald S,Willson TA,Stanley EG,Robb L,Greenhalgh CJ,Förster I,Clausen BE,Nicola NA,Metcalf D,Hilton DJ,Roberts AW,Alexander WS","GEOID":"GSE369","EXACT_SOURCE":"GSE369_2900_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in livers: SOCS3 [GeneID=9021] knockout versus wildtype.","DESCRIPTION_FULL":"Changes in mouse liver mRNA profiles following intraperitoneal cytokine injection. Either interferon-gamma-/-, albumin-cre(-) Socs3(w/fl) mice, or albumin-cre(+) Socs3(-/fl) mice were injected with either phosphate-buffered saline, interferon-gamma, or interfeukin-6, and livers taken after 4h."}
{"STANDARD_NAME":"GSE369_SOCS3_KO_VS_WT_LIVER_DN","SYSTEMATIC_NAME":"M5963","ORGANISM":"Mus musculus","PMID":"12754505","AUTHORS":"Croker BA,Krebs DL,Zhang JG,Wormald S,Willson TA,Stanley EG,Robb L,Greenhalgh CJ,Förster I,Clausen BE,Nicola NA,Metcalf D,Hilton DJ,Roberts AW,Alexander WS","GEOID":"GSE369","EXACT_SOURCE":"GSE369_2900_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in livers: SOCS3 [GeneID=9021] knockout versus wildtype.","DESCRIPTION_FULL":"Changes in mouse liver mRNA profiles following intraperitoneal cytokine injection. Either interferon-gamma-/-, albumin-cre(-) Socs3(w/fl) mice, or albumin-cre(+) Socs3(-/fl) mice were injected with either phosphate-buffered saline, interferon-gamma, or interfeukin-6, and livers taken after 4h."}
{"STANDARD_NAME":"GSE369_SOCS3_KO_VS_WT_LIVER_POST_IL6_INJECTION_UP","SYSTEMATIC_NAME":"M5964","ORGANISM":"Mus musculus","PMID":"12754505","AUTHORS":"Croker BA,Krebs DL,Zhang JG,Wormald S,Willson TA,Stanley EG,Robb L,Greenhalgh CJ,Förster I,Clausen BE,Nicola NA,Metcalf D,Hilton DJ,Roberts AW,Alexander WS","GEOID":"GSE369","EXACT_SOURCE":"GSE369_2906_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in livers injected with IL6 [GeneID=3569]: SOCS3 [GeneID=9021] knockout versus wildtype.","DESCRIPTION_FULL":"Changes in mouse liver mRNA profiles following intraperitoneal cytokine injection. Either interferon-gamma-/-, albumin-cre(-) Socs3(w/fl) mice, or albumin-cre(+) Socs3(-/fl) mice were injected with either phosphate-buffered saline, interferon-gamma, or interfeukin-6, and livers taken after 4h."}
{"STANDARD_NAME":"GSE369_SOCS3_KO_VS_WT_LIVER_POST_IL6_INJECTION_DN","SYSTEMATIC_NAME":"M5966","ORGANISM":"Mus musculus","PMID":"12754505","AUTHORS":"Croker BA,Krebs DL,Zhang JG,Wormald S,Willson TA,Stanley EG,Robb L,Greenhalgh CJ,Förster I,Clausen BE,Nicola NA,Metcalf D,Hilton DJ,Roberts AW,Alexander WS","GEOID":"GSE369","EXACT_SOURCE":"GSE369_2906_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in livers injected with IL6 [GeneID=3569]: SOCS3 [GeneID=9021] knockout versus wildtype.","DESCRIPTION_FULL":"Changes in mouse liver mRNA profiles following intraperitoneal cytokine injection. Either interferon-gamma-/-, albumin-cre(-) Socs3(w/fl) mice, or albumin-cre(+) Socs3(-/fl) mice were injected with either phosphate-buffered saline, interferon-gamma, or interfeukin-6, and livers taken after 4h."}
{"STANDARD_NAME":"GSE369_IFNG_KO_VS_WT_LIVER_UP","SYSTEMATIC_NAME":"M5970","ORGANISM":"Mus musculus","PMID":"12754505","AUTHORS":"Croker BA,Krebs DL,Zhang JG,Wormald S,Willson TA,Stanley EG,Robb L,Greenhalgh CJ,Förster I,Clausen BE,Nicola NA,Metcalf D,Hilton DJ,Roberts AW,Alexander WS","GEOID":"GSE369","EXACT_SOURCE":"GSE369_2901_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in liver: IFNG [GeneID=3458] knockout versus wildtype.","DESCRIPTION_FULL":"Changes in mouse liver mRNA profiles following intraperitoneal cytokine injection. Either interferon-gamma-/-, albumin-cre(-) Socs3(w/fl) mice, or albumin-cre(+) Socs3(-/fl) mice were injected with either phosphate-buffered saline, interferon-gamma, or interfeukin-6, and livers taken after 4h."}
{"STANDARD_NAME":"GSE369_IFNG_KO_VS_WT_LIVER_DN","SYSTEMATIC_NAME":"M5972","ORGANISM":"Mus musculus","PMID":"12754505","AUTHORS":"Croker BA,Krebs DL,Zhang JG,Wormald S,Willson TA,Stanley EG,Robb L,Greenhalgh CJ,Förster I,Clausen BE,Nicola NA,Metcalf D,Hilton DJ,Roberts AW,Alexander WS","GEOID":"GSE369","EXACT_SOURCE":"GSE369_2901_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in liver: IFNG [GeneID=3458] knockout versus wildtype.","DESCRIPTION_FULL":"Changes in mouse liver mRNA profiles following intraperitoneal cytokine injection. Either interferon-gamma-/-, albumin-cre(-) Socs3(w/fl) mice, or albumin-cre(+) Socs3(-/fl) mice were injected with either phosphate-buffered saline, interferon-gamma, or interfeukin-6, and livers taken after 4h."}
{"STANDARD_NAME":"GSE369_PRE_VS_POST_IL6_INJECTION_IFNG_KO_LIVER_UP","SYSTEMATIC_NAME":"M5973","ORGANISM":"Mus musculus","PMID":"12754505","AUTHORS":"Croker BA,Krebs DL,Zhang JG,Wormald S,Willson TA,Stanley EG,Robb L,Greenhalgh CJ,Förster I,Clausen BE,Nicola NA,Metcalf D,Hilton DJ,Roberts AW,Alexander WS","GEOID":"GSE369","EXACT_SOURCE":"GSE369_2904_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in liver from SOC3 [GeneID=9021] knockout: untreated versus IL6 [GeneID=3569] injection.","DESCRIPTION_FULL":"Changes in mouse liver mRNA profiles following intraperitoneal cytokine injection. Either interferon-gamma-/-, albumin-cre(-) Socs3(w/fl) mice, or albumin-cre(+) Socs3(-/fl) mice were injected with either phosphate-buffered saline, interferon-gamma, or interfeukin-6, and livers taken after 4h."}
{"STANDARD_NAME":"GSE369_PRE_VS_POST_IL6_INJECTION_IFNG_KO_LIVER_DN","SYSTEMATIC_NAME":"M5975","ORGANISM":"Mus musculus","PMID":"12754505","AUTHORS":"Croker BA,Krebs DL,Zhang JG,Wormald S,Willson TA,Stanley EG,Robb L,Greenhalgh CJ,Förster I,Clausen BE,Nicola NA,Metcalf D,Hilton DJ,Roberts AW,Alexander WS","GEOID":"GSE369","EXACT_SOURCE":"GSE369_2904_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in liver from SOC3 [GeneID=9021] knockout: untreated versus IL6 [GeneID=3569] injection.","DESCRIPTION_FULL":"Changes in mouse liver mRNA profiles following intraperitoneal cytokine injection. Either interferon-gamma-/-, albumin-cre(-) Socs3(w/fl) mice, or albumin-cre(+) Socs3(-/fl) mice were injected with either phosphate-buffered saline, interferon-gamma, or interfeukin-6, and livers taken after 4h."}
{"STANDARD_NAME":"GSE369_PRE_VS_POST_IL6_INJECTION_SOCS3_KO_LIVER_UP","SYSTEMATIC_NAME":"M5976","ORGANISM":"Mus musculus","PMID":"12754505","AUTHORS":"Croker BA,Krebs DL,Zhang JG,Wormald S,Willson TA,Stanley EG,Robb L,Greenhalgh CJ,Förster I,Clausen BE,Nicola NA,Metcalf D,Hilton DJ,Roberts AW,Alexander WS","GEOID":"GSE369","EXACT_SOURCE":"GSE369_2903_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in liver from SOCS3 [GeneID=9021] knockout: untreated versus IL6 [GeneID=3569] injection.","DESCRIPTION_FULL":"Changes in mouse liver mRNA profiles following intraperitoneal cytokine injection. Either interferon-gamma-/-, albumin-cre(-) Socs3(w/fl) mice, or albumin-cre(+) Socs3(-/fl) mice were injected with either phosphate-buffered saline, interferon-gamma, or interfeukin-6, and livers taken after 4h."}
{"STANDARD_NAME":"GSE369_PRE_VS_POST_IL6_INJECTION_SOCS3_KO_LIVER_DN","SYSTEMATIC_NAME":"M5977","ORGANISM":"Mus musculus","PMID":"12754505","AUTHORS":"Croker BA,Krebs DL,Zhang JG,Wormald S,Willson TA,Stanley EG,Robb L,Greenhalgh CJ,Förster I,Clausen BE,Nicola NA,Metcalf D,Hilton DJ,Roberts AW,Alexander WS","GEOID":"GSE369","EXACT_SOURCE":"GSE369_2903_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in liver from SOCS3 [GeneID=9021] knockout: untreated versus IL6 [GeneID=3569] injection.","DESCRIPTION_FULL":"Changes in mouse liver mRNA profiles following intraperitoneal cytokine injection. Either interferon-gamma-/-, albumin-cre(-) Socs3(w/fl) mice, or albumin-cre(+) Socs3(-/fl) mice were injected with either phosphate-buffered saline, interferon-gamma, or interfeukin-6, and livers taken after 4h."}
{"STANDARD_NAME":"GSE369_SOCS3_KO_VS_IFNG_KO_LIVER_UP","SYSTEMATIC_NAME":"M5978","ORGANISM":"Mus musculus","PMID":"12754505","AUTHORS":"Croker BA,Krebs DL,Zhang JG,Wormald S,Willson TA,Stanley EG,Robb L,Greenhalgh CJ,Förster I,Clausen BE,Nicola NA,Metcalf D,Hilton DJ,Roberts AW,Alexander WS","GEOID":"GSE369","EXACT_SOURCE":"GSE369_2902_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in liver with knockouts of: SOCS3 [GeneID=9021] versus IFNG [GeneID=3458].","DESCRIPTION_FULL":"Changes in mouse liver mRNA profiles following intraperitoneal cytokine injection. Either interferon-gamma-/-, albumin-cre(-) Socs3(w/fl) mice, or albumin-cre(+) Socs3(-/fl) mice were injected with either phosphate-buffered saline, interferon-gamma, or interfeukin-6, and livers taken after 4h."}
{"STANDARD_NAME":"GSE369_PRE_VS_POST_IL6_INJECTION_IFNG_WT_LIVER_UP","SYSTEMATIC_NAME":"M5979","ORGANISM":"Mus musculus","PMID":"12754505","AUTHORS":"Croker BA,Krebs DL,Zhang JG,Wormald S,Willson TA,Stanley EG,Robb L,Greenhalgh CJ,Förster I,Clausen BE,Nicola NA,Metcalf D,Hilton DJ,Roberts AW,Alexander WS","GEOID":"GSE369","EXACT_SOURCE":"GSE369_2905_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in liver: untreated versus IL6 [GeneID=3569] injection.","DESCRIPTION_FULL":"Changes in mouse liver mRNA profiles following intraperitoneal cytokine injection. Either interferon-gamma-/-, albumin-cre(-) Socs3(w/fl) mice, or albumin-cre(+) Socs3(-/fl) mice were injected with either phosphate-buffered saline, interferon-gamma, or interfeukin-6, and livers taken after 4h."}
{"STANDARD_NAME":"GSE369_PRE_VS_POST_IL6_INJECTION_IFNG_WT_LIVER_DN","SYSTEMATIC_NAME":"M5980","ORGANISM":"Mus musculus","PMID":"12754505","AUTHORS":"Croker BA,Krebs DL,Zhang JG,Wormald S,Willson TA,Stanley EG,Robb L,Greenhalgh CJ,Förster I,Clausen BE,Nicola NA,Metcalf D,Hilton DJ,Roberts AW,Alexander WS","GEOID":"GSE369","EXACT_SOURCE":"GSE369_2905_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in liver: untreated versus IL6 [GeneID=3569] injection.","DESCRIPTION_FULL":"Changes in mouse liver mRNA profiles following intraperitoneal cytokine injection. Either interferon-gamma-/-, albumin-cre(-) Socs3(w/fl) mice, or albumin-cre(+) Socs3(-/fl) mice were injected with either phosphate-buffered saline, interferon-gamma, or interfeukin-6, and livers taken after 4h."}
{"STANDARD_NAME":"GSE369_SOCS3_KO_VS_IFNG_KO_LIVER_DN","SYSTEMATIC_NAME":"M5983","ORGANISM":"Mus musculus","PMID":"12754505","AUTHORS":"Croker BA,Krebs DL,Zhang JG,Wormald S,Willson TA,Stanley EG,Robb L,Greenhalgh CJ,Förster I,Clausen BE,Nicola NA,Metcalf D,Hilton DJ,Roberts AW,Alexander WS","GEOID":"GSE369","EXACT_SOURCE":"GSE369_2902_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in liver with knockouts of: SOCS3 [GeneID=9021] versus IFNG [GeneID=3458].","DESCRIPTION_FULL":"Changes in mouse liver mRNA profiles following intraperitoneal cytokine injection. Either interferon-gamma-/-, albumin-cre(-) Socs3(w/fl) mice, or albumin-cre(+) Socs3(-/fl) mice were injected with either phosphate-buffered saline, interferon-gamma, or interfeukin-6, and livers taken after 4h."}
{"STANDARD_NAME":"GSE411_WT_VS_SOCS3_KO_MACROPHAGE_IL6_STIM_400MIN_DN","SYSTEMATIC_NAME":"M5984","ORGANISM":"Mus musculus","PMID":"12754506","AUTHORS":"Lang R,Pauleau AL,Parganas E,Takahashi Y,Mages J,Ihle JN,Rutschman R,Murray PJ","GEOID":"GSE411","EXACT_SOURCE":"GSE411_2908_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages treated by IL6 [GeneID=3569] for 400min: wildtype versus SOCS3 [GeneID=9021].","DESCRIPTION_FULL":"Effects of SOCS3 on the transcriptional response of bone marrow-derived macrophages to IL-6. Fetal liver cells from SOCS3+/+ or SOCS3-/- embryos were used to reconstitute recipient mice. Donor derived bone marrow from these mice was differentiated to macrophages. Macrophages were either unstimulated, or stimulated for 100 or 400 minutes with 10 ng/ml IL-6."}
{"STANDARD_NAME":"GSE411_UNSTIM_VS_100MIN_IL6_STIM_MACROPHAGE_UP","SYSTEMATIC_NAME":"M5985","ORGANISM":"Mus musculus","PMID":"12754506","AUTHORS":"Lang R,Pauleau AL,Parganas E,Takahashi Y,Mages J,Ihle JN,Rutschman R,Murray PJ","GEOID":"GSE411","EXACT_SOURCE":"GSE411_2909_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages: untreated versus IL6 [GeneID=3569] for 100min.","DESCRIPTION_FULL":"Effects of SOCS3 on the transcriptional response of bone marrow-derived macrophages to IL-6. Fetal liver cells from SOCS3+/+ or SOCS3-/- embryos were used to reconstitute recipient mice. Donor derived bone marrow from these mice was differentiated to macrophages. Macrophages were either unstimulated, or stimulated for 100 or 400 minutes with 10 ng/ml IL-6."}
{"STANDARD_NAME":"GSE411_UNSTIM_VS_100MIN_IL6_STIM_MACROPHAGE_DN","SYSTEMATIC_NAME":"M5986","ORGANISM":"Mus musculus","PMID":"12754506","AUTHORS":"Lang R,Pauleau AL,Parganas E,Takahashi Y,Mages J,Ihle JN,Rutschman R,Murray PJ","GEOID":"GSE411","EXACT_SOURCE":"GSE411_2909_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages: untreated versus IL6 [GeneID=3569] for 100min.","DESCRIPTION_FULL":"Effects of SOCS3 on the transcriptional response of bone marrow-derived macrophages to IL-6. Fetal liver cells from SOCS3+/+ or SOCS3-/- embryos were used to reconstitute recipient mice. Donor derived bone marrow from these mice was differentiated to macrophages. Macrophages were either unstimulated, or stimulated for 100 or 400 minutes with 10 ng/ml IL-6."}
{"STANDARD_NAME":"GSE411_WT_VS_SOCS3_KO_MACROPHAGE_UP","SYSTEMATIC_NAME":"M5990","ORGANISM":"Mus musculus","PMID":"12754506","AUTHORS":"Lang R,Pauleau AL,Parganas E,Takahashi Y,Mages J,Ihle JN,Rutschman R,Murray PJ","GEOID":"GSE411","EXACT_SOURCE":"GSE411_2906_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages: wildtype versus SOCS3 [GeneID=9021].","DESCRIPTION_FULL":"Effects of SOCS3 on the transcriptional response of bone marrow-derived macrophages to IL-6. Fetal liver cells from SOCS3+/+ or SOCS3-/- embryos were used to reconstitute recipient mice. Donor derived bone marrow from these mice was differentiated to macrophages. Macrophages were either unstimulated, or stimulated for 100 or 400 minutes with 10 ng/ml IL-6."}
{"STANDARD_NAME":"GSE411_WT_VS_SOCS3_KO_MACROPHAGE_DN","SYSTEMATIC_NAME":"M5991","ORGANISM":"Mus musculus","PMID":"12754506","AUTHORS":"Lang R,Pauleau AL,Parganas E,Takahashi Y,Mages J,Ihle JN,Rutschman R,Murray PJ","GEOID":"GSE411","EXACT_SOURCE":"GSE411_2906_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages: wildtype versus SOCS3 [GeneID=9021].","DESCRIPTION_FULL":"Effects of SOCS3 on the transcriptional response of bone marrow-derived macrophages to IL-6. Fetal liver cells from SOCS3+/+ or SOCS3-/- embryos were used to reconstitute recipient mice. Donor derived bone marrow from these mice was differentiated to macrophages. Macrophages were either unstimulated, or stimulated for 100 or 400 minutes with 10 ng/ml IL-6."}
{"STANDARD_NAME":"GSE411_WT_VS_SOCS3_KO_MACROPHAGE_IL6_STIM_100MIN_UP","SYSTEMATIC_NAME":"M5992","ORGANISM":"Mus musculus","PMID":"12754506","AUTHORS":"Lang R,Pauleau AL,Parganas E,Takahashi Y,Mages J,Ihle JN,Rutschman R,Murray PJ","GEOID":"GSE411","EXACT_SOURCE":"GSE411_2907_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages treated by IL6 [GeneID=3569] for 100min: wildtype versus SOCS3 [GeneID=9021].","DESCRIPTION_FULL":"Effects of SOCS3 on the transcriptional response of bone marrow-derived macrophages to IL-6. Fetal liver cells from SOCS3+/+ or SOCS3-/- embryos were used to reconstitute recipient mice. Donor derived bone marrow from these mice was differentiated to macrophages. Macrophages were either unstimulated, or stimulated for 100 or 400 minutes with 10 ng/ml IL-6."}
{"STANDARD_NAME":"GSE411_WT_VS_SOCS3_KO_MACROPHAGE_IL6_STIM_100MIN_DN","SYSTEMATIC_NAME":"M5993","ORGANISM":"Mus musculus","PMID":"12754506","AUTHORS":"Lang R,Pauleau AL,Parganas E,Takahashi Y,Mages J,Ihle JN,Rutschman R,Murray PJ","GEOID":"GSE411","EXACT_SOURCE":"GSE411_2907_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages treated by IL6 [GeneID=3569] for 100min: wildtype versus SOCS3 [GeneID=9021].","DESCRIPTION_FULL":"Effects of SOCS3 on the transcriptional response of bone marrow-derived macrophages to IL-6. Fetal liver cells from SOCS3+/+ or SOCS3-/- embryos were used to reconstitute recipient mice. Donor derived bone marrow from these mice was differentiated to macrophages. Macrophages were either unstimulated, or stimulated for 100 or 400 minutes with 10 ng/ml IL-6."}
{"STANDARD_NAME":"GSE411_WT_VS_SOCS3_KO_MACROPHAGE_IL6_STIM_400MIN_UP","SYSTEMATIC_NAME":"M5994","ORGANISM":"Mus musculus","PMID":"12754506","AUTHORS":"Lang R,Pauleau AL,Parganas E,Takahashi Y,Mages J,Ihle JN,Rutschman R,Murray PJ","GEOID":"GSE411","EXACT_SOURCE":"GSE411_2908_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages treated by IL6 [GeneID=3569] for 400min: wildtype versus SOCS3 [GeneID=9021].","DESCRIPTION_FULL":"Effects of SOCS3 on the transcriptional response of bone marrow-derived macrophages to IL-6. Fetal liver cells from SOCS3+/+ or SOCS3-/- embryos were used to reconstitute recipient mice. Donor derived bone marrow from these mice was differentiated to macrophages. Macrophages were either unstimulated, or stimulated for 100 or 400 minutes with 10 ng/ml IL-6."}
{"STANDARD_NAME":"GSE411_100MIN_VS_400MIN_IL6_STIM_SOCS3_KO_MACROPHAGE_DN","SYSTEMATIC_NAME":"M5995","ORGANISM":"Mus musculus","PMID":"12754506","AUTHORS":"Lang R,Pauleau AL,Parganas E,Takahashi Y,Mages J,Ihle JN,Rutschman R,Murray PJ","GEOID":"GSE411","EXACT_SOURCE":"GSE411_2914_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages with SOCS3 [GeneID=9021] knockout treated by IL6 [GeneID=3569]: 100min versus 400min.","DESCRIPTION_FULL":"Effects of SOCS3 on the transcriptional response of bone marrow-derived macrophages to IL-6. Fetal liver cells from SOCS3+/+ or SOCS3-/- embryos were used to reconstitute recipient mice. Donor derived bone marrow from these mice was differentiated to macrophages. Macrophages were either unstimulated, or stimulated for 100 or 400 minutes with 10 ng/ml IL-6."}
{"STANDARD_NAME":"GSE411_UNSTIM_VS_400MIN_IL6_STIM_MACROPHAGE_DN","SYSTEMATIC_NAME":"M5996","ORGANISM":"Mus musculus","PMID":"12754506","AUTHORS":"Lang R,Pauleau AL,Parganas E,Takahashi Y,Mages J,Ihle JN,Rutschman R,Murray PJ","GEOID":"GSE411","EXACT_SOURCE":"GSE411_2910_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages: untreated versus IL6 [GeneID=3569] for 400min.","DESCRIPTION_FULL":"Effects of SOCS3 on the transcriptional response of bone marrow-derived macrophages to IL-6. Fetal liver cells from SOCS3+/+ or SOCS3-/- embryos were used to reconstitute recipient mice. Donor derived bone marrow from these mice was differentiated to macrophages. Macrophages were either unstimulated, or stimulated for 100 or 400 minutes with 10 ng/ml IL-6."}
{"STANDARD_NAME":"GSE411_100MIN_VS_400MIN_IL6_STIM_MACROPHAGE_UP","SYSTEMATIC_NAME":"M5997","ORGANISM":"Mus musculus","PMID":"12754506","AUTHORS":"Lang R,Pauleau AL,Parganas E,Takahashi Y,Mages J,Ihle JN,Rutschman R,Murray PJ","GEOID":"GSE411","EXACT_SOURCE":"GSE411_2911_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages treated by IL6 [GeneID=3569]: 100min versus 400min.","DESCRIPTION_FULL":"Effects of SOCS3 on the transcriptional response of bone marrow-derived macrophages to IL-6. Fetal liver cells from SOCS3+/+ or SOCS3-/- embryos were used to reconstitute recipient mice. Donor derived bone marrow from these mice was differentiated to macrophages. Macrophages were either unstimulated, or stimulated for 100 or 400 minutes with 10 ng/ml IL-6."}
{"STANDARD_NAME":"GSE411_100MIN_VS_400MIN_IL6_STIM_MACROPHAGE_DN","SYSTEMATIC_NAME":"M5998","ORGANISM":"Mus musculus","PMID":"12754506","AUTHORS":"Lang R,Pauleau AL,Parganas E,Takahashi Y,Mages J,Ihle JN,Rutschman R,Murray PJ","GEOID":"GSE411","EXACT_SOURCE":"GSE411_2911_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages treated by IL6 [GeneID=3569]: 100min versus 400min.","DESCRIPTION_FULL":"Effects of SOCS3 on the transcriptional response of bone marrow-derived macrophages to IL-6. Fetal liver cells from SOCS3+/+ or SOCS3-/- embryos were used to reconstitute recipient mice. Donor derived bone marrow from these mice was differentiated to macrophages. Macrophages were either unstimulated, or stimulated for 100 or 400 minutes with 10 ng/ml IL-6."}
{"STANDARD_NAME":"GSE411_UNSTIM_VS_400MIN_IL6_STIM_MACROPHAGE_UP","SYSTEMATIC_NAME":"M5999","ORGANISM":"Mus musculus","PMID":"12754506","AUTHORS":"Lang R,Pauleau AL,Parganas E,Takahashi Y,Mages J,Ihle JN,Rutschman R,Murray PJ","GEOID":"GSE411","EXACT_SOURCE":"GSE411_2910_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages: untreated versus IL6 [GeneID=3569] for 400min.","DESCRIPTION_FULL":"Effects of SOCS3 on the transcriptional response of bone marrow-derived macrophages to IL-6. Fetal liver cells from SOCS3+/+ or SOCS3-/- embryos were used to reconstitute recipient mice. Donor derived bone marrow from these mice was differentiated to macrophages. Macrophages were either unstimulated, or stimulated for 100 or 400 minutes with 10 ng/ml IL-6."}
{"STANDARD_NAME":"GSE411_UNSTIM_VS_100MIN_IL6_STIM_SOCS3_KO_MACROPHAGE_DN","SYSTEMATIC_NAME":"M6000","ORGANISM":"Mus musculus","PMID":"12754506","AUTHORS":"Lang R,Pauleau AL,Parganas E,Takahashi Y,Mages J,Ihle JN,Rutschman R,Murray PJ","GEOID":"GSE411","EXACT_SOURCE":"GSE411_2912_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages with SOCS3 [GeneID=9021]: untreated versus IL6 [GeneID=3569] for 100min.","DESCRIPTION_FULL":"Effects of SOCS3 on the transcriptional response of bone marrow-derived macrophages to IL-6. Fetal liver cells from SOCS3+/+ or SOCS3-/- embryos were used to reconstitute recipient mice. Donor derived bone marrow from these mice was differentiated to macrophages. Macrophages were either unstimulated, or stimulated for 100 or 400 minutes with 10 ng/ml IL-6."}
{"STANDARD_NAME":"GSE411_UNSTIM_VS_400MIN_IL6_STIM_SOCS3_KO_MACROPHAGE_UP","SYSTEMATIC_NAME":"M6001","ORGANISM":"Mus musculus","PMID":"12754506","AUTHORS":"Lang R,Pauleau AL,Parganas E,Takahashi Y,Mages J,Ihle JN,Rutschman R,Murray PJ","GEOID":"GSE411","EXACT_SOURCE":"GSE411_2913_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages with SOCS3 [GeneID=9021]: untreated versus IL6 [GeneID=3569] for 400min.","DESCRIPTION_FULL":"Effects of SOCS3 on the transcriptional response of bone marrow-derived macrophages to IL-6. Fetal liver cells from SOCS3+/+ or SOCS3-/- embryos were used to reconstitute recipient mice. Donor derived bone marrow from these mice was differentiated to macrophages. Macrophages were either unstimulated, or stimulated for 100 or 400 minutes with 10 ng/ml IL-6."}
{"STANDARD_NAME":"GSE411_UNSTIM_VS_400MIN_IL6_STIM_SOCS3_KO_MACROPHAGE_DN","SYSTEMATIC_NAME":"M6003","ORGANISM":"Mus musculus","PMID":"12754506","AUTHORS":"Lang R,Pauleau AL,Parganas E,Takahashi Y,Mages J,Ihle JN,Rutschman R,Murray PJ","GEOID":"GSE411","EXACT_SOURCE":"GSE411_2913_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages with SOCS3 [GeneID=9021]: untreated versus IL6 [GeneID=3569] for 400min.","DESCRIPTION_FULL":"Effects of SOCS3 on the transcriptional response of bone marrow-derived macrophages to IL-6. Fetal liver cells from SOCS3+/+ or SOCS3-/- embryos were used to reconstitute recipient mice. Donor derived bone marrow from these mice was differentiated to macrophages. Macrophages were either unstimulated, or stimulated for 100 or 400 minutes with 10 ng/ml IL-6."}
{"STANDARD_NAME":"GSE411_UNSTIM_VS_100MIN_IL6_STIM_SOCS3_KO_MACROPHAGE_UP","SYSTEMATIC_NAME":"M6004","ORGANISM":"Mus musculus","PMID":"12754506","AUTHORS":"Lang R,Pauleau AL,Parganas E,Takahashi Y,Mages J,Ihle JN,Rutschman R,Murray PJ","GEOID":"GSE411","EXACT_SOURCE":"GSE411_2912_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages with SOCS3 [GeneID=9021]: untreated versus IL6 [GeneID=3569] for 100min.","DESCRIPTION_FULL":"Effects of SOCS3 on the transcriptional response of bone marrow-derived macrophages to IL-6. Fetal liver cells from SOCS3+/+ or SOCS3-/- embryos were used to reconstitute recipient mice. Donor derived bone marrow from these mice was differentiated to macrophages. Macrophages were either unstimulated, or stimulated for 100 or 400 minutes with 10 ng/ml IL-6."}
{"STANDARD_NAME":"GSE411_100MIN_VS_400MIN_IL6_STIM_SOCS3_KO_MACROPHAGE_UP","SYSTEMATIC_NAME":"M6005","ORGANISM":"Mus musculus","PMID":"12754506","AUTHORS":"Lang R,Pauleau AL,Parganas E,Takahashi Y,Mages J,Ihle JN,Rutschman R,Murray PJ","GEOID":"GSE411","EXACT_SOURCE":"GSE411_2914_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages with SOCS3 [GeneID=9021] knockout treated by IL6 [GeneID=3569]: 100min versus 400min.","DESCRIPTION_FULL":"Effects of SOCS3 on the transcriptional response of bone marrow-derived macrophages to IL-6. Fetal liver cells from SOCS3+/+ or SOCS3-/- embryos were used to reconstitute recipient mice. Donor derived bone marrow from these mice was differentiated to macrophages. Macrophages were either unstimulated, or stimulated for 100 or 400 minutes with 10 ng/ml IL-6."}
{"STANDARD_NAME":"GSE557_WT_VS_CIITA_KO_DC_UP","SYSTEMATIC_NAME":"M6006","ORGANISM":"Mus musculus","PMID":"12910265","AUTHORS":"Wong AW,Brickey WJ,Taxman DJ,Deventer van HW,Reed W,Gao JX,Zheng P,Liu Y,Li P,Blum JS,McKinnon KP,Ting JP","GEOID":"GSE557","EXACT_SOURCE":"GSE557_2915_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in dendritic cells: wildtype versus CIITA [GeneID=4261] knockout.","DESCRIPTION_FULL":"Triplicates preparations of RNA from day 10 DC's. Experiment is described in Wong et al 2003 Nat. Immunol."}
{"STANDARD_NAME":"GSE557_WT_VS_CIITA_KO_DC_DN","SYSTEMATIC_NAME":"M6008","ORGANISM":"Mus musculus","PMID":"12910265","AUTHORS":"Wong AW,Brickey WJ,Taxman DJ,Deventer van HW,Reed W,Gao JX,Zheng P,Liu Y,Li P,Blum JS,McKinnon KP,Ting JP","GEOID":"GSE557","EXACT_SOURCE":"GSE557_2915_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in dendritic cells: wildtype versus CIITA [GeneID=4261] knockout.","DESCRIPTION_FULL":"Triplicates preparations of RNA from day 10 DC's. Experiment is described in Wong et al 2003 Nat. Immunol."}
{"STANDARD_NAME":"GSE557_WT_VS_I_AB_KO_DC_UP","SYSTEMATIC_NAME":"M6009","ORGANISM":"Mus musculus","PMID":"12910265","AUTHORS":"Wong AW,Brickey WJ,Taxman DJ,Deventer van HW,Reed W,Gao JX,Zheng P,Liu Y,Li P,Blum JS,McKinnon KP,Ting JP","GEOID":"GSE557","EXACT_SOURCE":"GSE557_2916_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in dendritic cells: wildtype versus I ab-/- mice.","DESCRIPTION_FULL":"Triplicates preparations of RNA from day 10 DC's. Experiment is described in Wong et al 2003 Nat. Immunol."}
{"STANDARD_NAME":"GSE557_WT_VS_I_AB_KO_DC_DN","SYSTEMATIC_NAME":"M6010","ORGANISM":"Mus musculus","PMID":"12910265","AUTHORS":"Wong AW,Brickey WJ,Taxman DJ,Deventer van HW,Reed W,Gao JX,Zheng P,Liu Y,Li P,Blum JS,McKinnon KP,Ting JP","GEOID":"GSE557","EXACT_SOURCE":"GSE557_2916_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in dendritic cells: wildtype versus I ab-/- mice.","DESCRIPTION_FULL":"Triplicates preparations of RNA from day 10 DC's. Experiment is described in Wong et al 2003 Nat. Immunol."}
{"STANDARD_NAME":"GSE557_CIITA_KO_VS_I_AB_KO_DC_UP","SYSTEMATIC_NAME":"M6012","ORGANISM":"Mus musculus","PMID":"12910265","AUTHORS":"Wong AW,Brickey WJ,Taxman DJ,Deventer van HW,Reed W,Gao JX,Zheng P,Liu Y,Li P,Blum JS,McKinnon KP,Ting JP","GEOID":"GSE557","EXACT_SOURCE":"GSE557_2917_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in dendritic cells: CIITA [GeneID=4261] knockout versus I ab-/- mice.","DESCRIPTION_FULL":"Triplicates preparations of RNA from day 10 DC's. Experiment is described in Wong et al 2003 Nat. Immunol."}
{"STANDARD_NAME":"GSE557_CIITA_KO_VS_I_AB_KO_DC_DN","SYSTEMATIC_NAME":"M6014","ORGANISM":"Mus musculus","PMID":"12910265","AUTHORS":"Wong AW,Brickey WJ,Taxman DJ,Deventer van HW,Reed W,Gao JX,Zheng P,Liu Y,Li P,Blum JS,McKinnon KP,Ting JP","GEOID":"GSE557","EXACT_SOURCE":"GSE557_2917_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in dendritic cells: CIITA [GeneID=4261] knockout versus I ab-/- mice.","DESCRIPTION_FULL":"Triplicates preparations of RNA from day 10 DC's. Experiment is described in Wong et al 2003 Nat. Immunol."}
{"STANDARD_NAME":"GSE2770_UNTREATED_VS_TGFB_AND_IL4_TREATED_ACT_CD4_TCELL_2H_DN","SYSTEMATIC_NAME":"M6015","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2759_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells: untreated (0h) versus activated by anti-CD3 and anti-CD28 and then stimulated by TGFB1 and IL4 [GeneID=7040;3565] (2h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_UNTREATED_VS_TGFB_AND_IL4_TREATED_ACT_CD4_TCELL_2H_UP","SYSTEMATIC_NAME":"M6016","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2759_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells: untreated (0h) versus activated by anti-CD3 and anti-CD28 and then stimulated by TGFB1 and IL4 [GeneID=7040;3565] (2h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_UNTREATED_VS_ACT_CD4_TCELL_6H_UP","SYSTEMATIC_NAME":"M6017","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2772_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells: untreated (0h) versus activated by anti-CD3 and anti-CD28 (6h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_UNTREATED_VS_ACT_CD4_TCELL_6H_DN","SYSTEMATIC_NAME":"M6018","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2772_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells: untreated (0h) versus activated by anti-CD3 and anti-CD28 (6h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_UNTREATED_VS_TGFB_AND_IL4_TREATED_ACT_CD4_TCELL_4H_UP","SYSTEMATIC_NAME":"M6019","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2760_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells: untreated (0h) versus activated by anti-CD3 and anti-CD28 and then stimulated by TGFB1 and IL4 [GeneID=7040;3565] (6h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_UNTREATED_VS_ACT_CD4_TCELL_2H_DN","SYSTEMATIC_NAME":"M6020","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2771_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells: untreated (0h) versus activated by anti-CD3 and anti-CD28 (2h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_UNTREATED_VS_IL4_TREATED_ACT_CD4_TCELL_6H_DN","SYSTEMATIC_NAME":"M6021","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2769_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells: untreated (0h) versus activated by anti-CD3 and anti-CD28 and then stimulated by IL4 [GeneID=3565] (6h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_UNTREATED_VS_IL4_TREATED_ACT_CD4_TCELL_48H_UP","SYSTEMATIC_NAME":"M6022","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2770_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells: untreated (0h) versus activated by anti-CD3 and anti-CD28 and then stimulated by IL4 [GeneID=3565] (48h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_UNTREATED_VS_IL4_TREATED_ACT_CD4_TCELL_48H_DN","SYSTEMATIC_NAME":"M6024","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2770_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells: untreated (0h) versus activated by anti-CD3 and anti-CD28 and then stimulated by IL4 [GeneID=3565] (48h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_UNTREATED_VS_ACT_CD4_TCELL_2H_UP","SYSTEMATIC_NAME":"M6025","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2771_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells: untreated (0h) versus activated by anti-CD3 and anti-CD28 (2h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_IL12_VS_TGFB_AND_IL12_TREATED_ACT_CD4_TCELL_48H_UP","SYSTEMATIC_NAME":"M6027","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2798_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: IL-12 (48h) versus TGFB1 [GeneID=7040] and IL-12 (48h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_IL12_VS_TGFB_AND_IL12_TREATED_ACT_CD4_TCELL_48H_DN","SYSTEMATIC_NAME":"M6028","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2798_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: IL-12 (48h) versus TGFB1 [GeneID=7040] and IL-12 (48h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_IL12_VS_IL4_TREATED_ACT_CD4_TCELL_48H_UP","SYSTEMATIC_NAME":"M6029","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2799_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: IL-12 (48h) versus IL4 [GeneID=3565] (48h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_IL12_VS_IL4_TREATED_ACT_CD4_TCELL_48H_DN","SYSTEMATIC_NAME":"M6030","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2799_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: IL-12 (48h) versus IL4 [GeneID=3565] (48h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_IL12_ACT_VS_ACT_CD4_TCELL_48H_UP","SYSTEMATIC_NAME":"M6032","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2800_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: IL-12 (48h) versus untreated (48h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_IL12_ACT_VS_ACT_CD4_TCELL_48H_DN","SYSTEMATIC_NAME":"M6033","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2800_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: IL-12 (48h) versus untreated (48h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_IL12_AND_TGFB_VS_IL4_TREATED_ACT_CD4_TCELL_48H_UP","SYSTEMATIC_NAME":"M6035","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2801_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: TGFB1 [GeneID=7040] and IL-12 (48h) versus IL4 [GeneID=3565] (48h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_UNTREATED_VS_IL4_TREATED_ACT_CD4_TCELL_2H_DN","SYSTEMATIC_NAME":"M6037","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2768_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells: untreated (0h) versus activated by anti-CD3 and anti-CD28 and then stimulated by IL4 [GeneID=3565] (2h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_UNTREATED_VS_IL4_TREATED_ACT_CD4_TCELL_6H_UP","SYSTEMATIC_NAME":"M6038","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2769_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells: untreated (0h) versus activated by anti-CD3 and anti-CD28 and then stimulated by IL4 [GeneID=3565] (6h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_IL12_AND_TGFB_ACT_VS_ACT_CD4_TCELL_48H_DN","SYSTEMATIC_NAME":"M6039","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2802_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: TGFB1 [GeneID=7040] and IL-12 (48h) versus untreated (48h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_IL4_ACT_VS_ACT_CD4_TCELL_48H_UP","SYSTEMATIC_NAME":"M6040","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2803_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: IL4 [GeneID=3565] (48h) versus untreated (48h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_IL4_ACT_VS_ACT_CD4_TCELL_48H_DN","SYSTEMATIC_NAME":"M6042","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2803_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: IL4 [GeneID=3565] (48h) versus untreated (48h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_UNTREATED_VS_IL12_TREATED_ACT_CD4_TCELL_6H_DN","SYSTEMATIC_NAME":"M6043","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2763_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells: untreated (0h) versus activated by anti-CD3 and anti-CD28 and then stimulated by IL-12 (6h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_UNTREATED_VS_IL12_TREATED_ACT_CD4_TCELL_48H_UP","SYSTEMATIC_NAME":"M6044","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2764_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells: untreated (0h) versus activated by anti-CD3 and anti-CD28 and then stimulated by IL-12 (48h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_UNTREATED_VS_IL12_TREATED_ACT_CD4_TCELL_48H_DN","SYSTEMATIC_NAME":"M6045","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2764_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells: untreated (0h) versus activated by anti-CD3 and anti-CD28 and then stimulated by IL-12 (48h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_UNTREATED_VS_TGFB_AND_IL12_TREATED_ACT_CD4_TCELL_2H_UP","SYSTEMATIC_NAME":"M6047","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2765_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells: untreated (0h) versus activated by anti-CD3 and anti-CD28 and then stimulated by TGFB1 [GeneID=7040] and IL-12 (2h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_UNTREATED_VS_TGFB_AND_IL12_TREATED_ACT_CD4_TCELL_2H_DN","SYSTEMATIC_NAME":"M6048","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2765_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells: untreated (0h) versus activated by anti-CD3 and anti-CD28 and then stimulated by TGFB1 [GeneID=7040] and IL-12 (2h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_UNTREATED_VS_TGFB_AND_IL12_TREATED_ACT_CD4_TCELL_6H_UP","SYSTEMATIC_NAME":"M6049","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2766_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells: untreated (0h) versus activated by anti-CD3 and anti-CD28 and then stimulated by TGFB1 [GeneID=7040] and IL-12 (6h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_UNTREATED_VS_TGFB_AND_IL12_TREATED_ACT_CD4_TCELL_6H_DN","SYSTEMATIC_NAME":"M6053","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2766_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells: untreated (0h) versus activated by anti-CD3 and anti-CD28 and then stimulated by TGFB1 [GeneID=7040] and IL-12 (6h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_UNTREATED_VS_TGFB_AND_IL12_TREATED_ACT_CD4_TCELL_48H_UP","SYSTEMATIC_NAME":"M6055","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2767_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells: untreated (0h) versus activated by anti-CD3 and anti-CD28 and then stimulated by TGFB1 [GeneID=7040] and IL-12 (48h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_UNTREATED_VS_TGFB_AND_IL12_TREATED_ACT_CD4_TCELL_48H_DN","SYSTEMATIC_NAME":"M6056","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2767_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells: untreated (0h) versus activated by anti-CD3 and anti-CD28 and then stimulated by TGFB1 [GeneID=7040] and IL-12 (48h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_UNTREATED_VS_IL4_TREATED_ACT_CD4_TCELL_2H_UP","SYSTEMATIC_NAME":"M6057","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2768_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells: untreated (0h) versus activated by anti-CD3 and anti-CD28 and then stimulated by IL4 [GeneID=3565] (2h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_IL12_VS_TGFB_AND_IL12_TREATED_ACT_CD4_TCELL_6H_UP","SYSTEMATIC_NAME":"M6059","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2788_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: IL-12 (6h) versus TGFB1 [GeneID=7040] and IL-12 (6h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_IL12_VS_TGFB_AND_IL12_TREATED_ACT_CD4_TCELL_6H_DN","SYSTEMATIC_NAME":"M6060","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2788_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: IL-12 (6h) versus TGFB1 [GeneID=7040] and IL-12 (6h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_IL12_VS_IL4_TREATED_ACT_CD4_TCELL_6H_UP","SYSTEMATIC_NAME":"M6061","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2789_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: IL-12 (6h) versus IL4 [GeneID=3565] (6h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_IL12_VS_IL4_TREATED_ACT_CD4_TCELL_6H_DN","SYSTEMATIC_NAME":"M6062","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2789_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: IL-12 (6h) versus IL4 [GeneID=3565] (6h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_IL12_ACT_VS_ACT_CD4_TCELL_6H_UP","SYSTEMATIC_NAME":"M6063","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2790_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: IL-12 (6h) versus untreated (6h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_IL12_ACT_VS_ACT_CD4_TCELL_6H_DN","SYSTEMATIC_NAME":"M6064","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2790_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: IL-12 (6h) versus untreated (6h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_IL12_AND_TGFB_VS_IL4_TREATED_ACT_CD4_TCELL_6H_UP","SYSTEMATIC_NAME":"M6065","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2791_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: TGFB1 [GeneID=7040] and IL-12 (6h) versus IL4 [GeneID=3565] (6h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_IL12_AND_TGFB_VS_IL4_TREATED_ACT_CD4_TCELL_6H_DN","SYSTEMATIC_NAME":"M6066","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2791_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: TGFB1 [GeneID=7040] and IL-12 (6h) versus IL4 [GeneID=3565] (6h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_IL12_AND_TGFB_ACT_VS_ACT_CD4_TCELL_6H_UP","SYSTEMATIC_NAME":"M6067","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2792_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: TGFB1 [GeneID=7040] and IL-12 (6h) versus untreated (6h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_IL12_AND_TGFB_ACT_VS_ACT_CD4_TCELL_6H_DN","SYSTEMATIC_NAME":"M6068","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2792_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: TGFB1 [GeneID=7040] and IL-12 (6h) versus untreated (6h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_UNTREATED_VS_ACT_CD4_TCELL_48H_UP","SYSTEMATIC_NAME":"M6069","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2773_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells: untreated (0h) versus activated by anti-CD3 and anti-CD28 (48h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_UNTREATED_VS_ACT_CD4_TCELL_48H_DN","SYSTEMATIC_NAME":"M6073","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2773_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells: untreated (0h) versus activated by anti-CD3 and anti-CD28 (48h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_TGFB_AND_IL4_VS_IL12_TREATED_ACT_CD4_TCELL_2H_UP","SYSTEMATIC_NAME":"M6074","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2774_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: TGFB1 and IL4 [GeneID=7040;3565] (2h) versus IL-12 (2h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_TGFB_AND_IL4_VS_IL12_TREATED_ACT_CD4_TCELL_2H_DN","SYSTEMATIC_NAME":"M6075","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2774_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: TGFB1 and IL4 [GeneID=7040;3565] (2h) versus IL-12 (2h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_TGFB_AND_IL4_VS_TGFB_AND_IL12_TREATED_ACT_CD4_TCELL_2H_UP","SYSTEMATIC_NAME":"M6076","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2775_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: TGFB1 and IL4 [GeneID=7040;3565] (2h) versus TGFB1 [GeneID=7040] and IL-12 (2h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_TGFB_AND_IL4_VS_TGFB_AND_IL12_TREATED_ACT_CD4_TCELL_2H_DN","SYSTEMATIC_NAME":"M6077","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2775_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: TGFB1 and IL4 [GeneID=7040;3565] (2h) versus TGFB1 [GeneID=7040] and IL-12 (2h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_TGFB_AND_IL4_VS_IL4_TREATED_ACT_CD4_TCELL_2H_UP","SYSTEMATIC_NAME":"M6079","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2776_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: TGFB1 and IL4 [GeneID=7040;3565] (2h) versus IL4 [GeneID=3565] (2h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_TGFB_AND_IL4_VS_IL4_TREATED_ACT_CD4_TCELL_2H_DN","SYSTEMATIC_NAME":"M6080","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2776_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: TGFB1 and IL4 [GeneID=7040;3565] (2h) versus IL4 [GeneID=3565] (2h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_TGFB_AND_IL4_ACT_VS_ACT_CD4_TCELL_2H_UP","SYSTEMATIC_NAME":"M6081","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2777_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: TGFB1 and IL4 [GeneID=7040;3565] (2h) versus untreated (2h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_TGFB_AND_IL4_ACT_VS_ACT_CD4_TCELL_2H_DN","SYSTEMATIC_NAME":"M6082","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2777_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: TGFB1 and IL4 [GeneID=7040;3565] (2h) versus untreated (2h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_IL12_VS_TGFB_AND_IL12_TREATED_ACT_CD4_TCELL_2H_UP","SYSTEMATIC_NAME":"M6083","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2778_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: IL-12 (2h) versus TGFB1 [GeneID=7040] and IL-12 (2h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_IL12_VS_TGFB_AND_IL12_TREATED_ACT_CD4_TCELL_2H_DN","SYSTEMATIC_NAME":"M6084","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2778_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: IL-12 (2h) versus TGFB1 [GeneID=7040] and IL-12 (2h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_IL12_VS_IL4_TREATED_ACT_CD4_TCELL_2H_UP","SYSTEMATIC_NAME":"M6085","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2779_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: IL-12 (2h) versus IL4 [GeneID=3565] (2h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_IL12_VS_IL4_TREATED_ACT_CD4_TCELL_2H_DN","SYSTEMATIC_NAME":"M6086","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2779_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: IL-12 (2h) versus IL4 [GeneID=3565] (2h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_UNTREATED_VS_TGFB_AND_IL4_TREATED_ACT_CD4_TCELL_4H_DN","SYSTEMATIC_NAME":"M6087","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2760_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells: untreated (0h) versus activated by anti-CD3 and anti-CD28 and then stimulated by TGFB1 and IL4 [GeneID=7040;3565] (6h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_UNTREATED_VS_TGFB_AND_IL4_TREATED_ACT_CD4_TCELL_48H_UP","SYSTEMATIC_NAME":"M6088","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2761_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells: untreated (0h) versus activated by anti-CD3 and anti-CD28 and then stimulated by TGFB1 and IL4 [GeneID=7040;3565] (48h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_UNTREATED_VS_TGFB_AND_IL4_TREATED_ACT_CD4_TCELL_48H_DN","SYSTEMATIC_NAME":"M6089","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2761_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells: untreated (0h) versus activated by anti-CD3 and anti-CD28 and then stimulated by TGFB1 and IL4 [GeneID=7040;3565] (48h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_UNTREATED_VS_IL12_TREATED_ACT_CD4_TCELL_2H_UP","SYSTEMATIC_NAME":"M6090","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2762_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells: untreated (0h) versus activated by anti-CD3 and anti-CD28 and then stimulated by IL-12 (2h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_UNTREATED_VS_IL12_TREATED_ACT_CD4_TCELL_2H_DN","SYSTEMATIC_NAME":"M6091","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2762_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells: untreated (0h) versus activated by anti-CD3 and anti-CD28 and then stimulated by IL-12 (2h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_UNTREATED_VS_IL12_TREATED_ACT_CD4_TCELL_6H_UP","SYSTEMATIC_NAME":"M6092","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2763_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells: untreated (0h) versus activated by anti-CD3 and anti-CD28 and then stimulated by IL-12 (6h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_IL4_ACT_VS_ACT_CD4_TCELL_2H_UP","SYSTEMATIC_NAME":"M6094","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2783_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: IL4 [GeneID=3565] (2h) versus untreated (2h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_IL4_ACT_VS_ACT_CD4_TCELL_2H_DN","SYSTEMATIC_NAME":"M6095","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2783_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: IL4 [GeneID=3565] (2h) versus untreated (2h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_TGFB_AND_IL4_VS_IL12_TREATED_ACT_CD4_TCELL_6H_UP","SYSTEMATIC_NAME":"M6096","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2784_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: TGFB1 and IL4 [GeneID=7040;3565] (6h) versus IL-12 (6h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_TGFB_AND_IL4_VS_IL12_TREATED_ACT_CD4_TCELL_6H_DN","SYSTEMATIC_NAME":"M6098","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2784_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: TGFB1 and IL4 [GeneID=7040;3565] (6h) versus IL-12 (6h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_TGFB_AND_IL4_VS_TGFB_AND_IL12_TREATED_ACT_CD4_TCELL_6H_UP","SYSTEMATIC_NAME":"M6099","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2785_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: TGFB1 and IL4 [GeneID=7040;3565] (6h) versus TGFB1 [GeneID=7050] and IL-12 (6h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_TGFB_AND_IL4_VS_TGFB_AND_IL12_TREATED_ACT_CD4_TCELL_6H_DN","SYSTEMATIC_NAME":"M6102","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2785_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: TGFB1 and IL4 [GeneID=7040;3565] (6h) versus TGFB1 [GeneID=7050] and IL-12 (6h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_TGFB_AND_IL4_VS_IL4_TREATED_ACT_CD4_TCELL_6H_UP","SYSTEMATIC_NAME":"M6103","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2786_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: TGFB1 and IL4 [GeneID=7040;3565] (6h) versus IL4 [GeneID=3565] (6h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_TGFB_AND_IL4_VS_IL4_TREATED_ACT_CD4_TCELL_6H_DN","SYSTEMATIC_NAME":"M6104","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2786_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: TGFB1 and IL4 [GeneID=7040;3565] (6h) versus IL4 [GeneID=3565] (6h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_TGFB_AND_IL4_ACT_VS_ACT_CD4_TCELL_6H_UP","SYSTEMATIC_NAME":"M6106","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2787_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: TGFB1 and IL4 [GeneID=7040;3565] (6h) versus untreated (6h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_TGFB_AND_IL4_ACT_VS_ACT_CD4_TCELL_6H_DN","SYSTEMATIC_NAME":"M6107","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2787_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: TGFB1 and IL4 [GeneID=7040;3565] (6h) versus untreated (6h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_TGFB_AND_IL4_VS_IL12_TREATED_ACT_CD4_TCELL_48H_DN","SYSTEMATIC_NAME":"M6108","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2794_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: TGFB1 and IL4 [GeneID=7040;3565] (48h) versus IL-12 (48h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_TGFB_AND_IL4_VS_TGFB_AND_IL12_TREATED_ACT_CD4_TCELL_48H_UP","SYSTEMATIC_NAME":"M6109","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2795_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: TGFB1 and IL4 [GeneID=7040;3565] (48h) versus TGFB1 [GeneID-7040] and IL-12 (48h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_TGFB_AND_IL4_VS_TGFB_AND_IL12_TREATED_ACT_CD4_TCELL_48H_DN","SYSTEMATIC_NAME":"M6111","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2795_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: TGFB1 and IL4 [GeneID=7040;3565] (48h) versus TGFB1 [GeneID-7040] and IL-12 (48h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_TGFB_AND_IL4_VS_IL4_TREATED_ACT_CD4_TCELL_48H_UP","SYSTEMATIC_NAME":"M6112","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2796_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: TGFB1 and IL4 [GeneID=7040;3565] (48h) versus IL4 [GeneID=3565] (48h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_TGFB_AND_IL4_VS_IL4_TREATED_ACT_CD4_TCELL_48H_DN","SYSTEMATIC_NAME":"M6114","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2796_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: TGFB1 and IL4 [GeneID=7040;3565] (48h) versus IL4 [GeneID=3565] (48h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_TGFB_AND_IL4_ACT_VS_ACT_CD4_TCELL_48H_UP","SYSTEMATIC_NAME":"M6115","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2797_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: TGFB1 and IL4 [GeneID=7040;3565] (48h) versus untreated (48h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_TGFB_AND_IL4_ACT_VS_ACT_CD4_TCELL_48H_DN","SYSTEMATIC_NAME":"M6118","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2797_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: TGFB1 and IL4 [GeneID=7040;3565] (48h) versus untreated (48h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_IL4_ACT_VS_ACT_CD4_TCELL_6H_DN","SYSTEMATIC_NAME":"M6119","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2793_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: IL4 [GeneID=3565] (6h) versus untreated (6h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_TGFB_AND_IL4_VS_IL12_TREATED_ACT_CD4_TCELL_48H_UP","SYSTEMATIC_NAME":"M6120","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2794_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: TGFB1 and IL4 [GeneID=7040;3565] (48h) versus IL-12 (48h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_IL12_AND_TGFB_VS_IL4_TREATED_ACT_CD4_TCELL_2H_UP","SYSTEMATIC_NAME":"M6123","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2781_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: TGFB1 [GeneID=7040] and IL-12 (2h) versus IL4 [GeneID=3565] (2h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_IL4_ACT_VS_ACT_CD4_TCELL_6H_UP","SYSTEMATIC_NAME":"M6124","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2793_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: IL4 [GeneID=3565] (6h) versus untreated (6h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_IL12_AND_TGFB_ACT_VS_ACT_CD4_TCELL_2H_UP","SYSTEMATIC_NAME":"M6125","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2782_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: TGFB1 [GeneID=7040] and IL-12 (2h) versus untreated (2h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_IL12_AND_TGFB_ACT_VS_ACT_CD4_TCELL_2H_DN","SYSTEMATIC_NAME":"M6126","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2782_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: TGFB1 [GeneID=7040] and IL-12 (2h) versus untreated (2h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_IL12_ACT_VS_ACT_CD4_TCELL_2H_DN","SYSTEMATIC_NAME":"M6127","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2780_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: IL-12 (2h) versus untreated (2h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_IL12_AND_TGFB_VS_IL4_TREATED_ACT_CD4_TCELL_2H_DN","SYSTEMATIC_NAME":"M6128","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2781_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: TGFB1 [GeneID=7040] and IL-12 (2h) versus IL4 [GeneID=3565] (2h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_IL12_AND_TGFB_VS_IL4_TREATED_ACT_CD4_TCELL_48H_DN","SYSTEMATIC_NAME":"M6129","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2801_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: TGFB1 [GeneID=7040] and IL-12 (48h) versus IL4 [GeneID=3565] (48h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_IL12_ACT_VS_ACT_CD4_TCELL_2H_UP","SYSTEMATIC_NAME":"M6130","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2780_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: IL-12 (2h) versus untreated (2h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE2770_IL12_AND_TGFB_ACT_VS_ACT_CD4_TCELL_48H_UP","SYSTEMATIC_NAME":"M6131","ORGANISM":"Homo sapiens","PMID":"14607935","AUTHORS":"Lund R,Aittokallio T,Nevalainen O,Lahesmaa R","GEOID":"GSE2770","EXACT_SOURCE":"GSE2770_2802_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells activated by anti-CD3 and anti-CD28: TGFB1 [GeneID=7040] and IL-12 (48h) versus untreated (48h).","DESCRIPTION_FULL":"Th1 and Th2 cells arise from a common precursor cell in response to triggering through the TCR and cytokine receptors for IL-12 or IL-4. This leads to activation of complex signaling pathways, which are not known in detail. Disturbances in the balance between type 1 and type 2 responses can lead to certain immune-mediated diseases. Thus, it is important to understand how Th1 and Th2 cells are generated. To clarify the mechanisms as to how IL-12 and IL-4 induce Th1 and Th2 differentiation and how TGF-beta can inhibit this process, we have used oligonucleotide arrays to examine the early polarization of Th1 and Th2 cells in the presence and absence of TGF-beta after 0, 2, 6 and 48 hours of polarization."}
{"STANDARD_NAME":"GSE3400_UNTREATED_VS_IFNB_TREATED_MEF_UP","SYSTEMATIC_NAME":"M6133","ORGANISM":"Mus musculus","PMID":"15131130","AUTHORS":"Pfeffer LM,Kim JG,Pfeffer SR,Carrigan DJ,Baker DP,Wei L,Homayouni R","GEOID":"GSE3400","EXACT_SOURCE":"GSE3400_3548_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in mouse embryonic fibroblasts (MEF): untreated versus interferon beta.","DESCRIPTION_FULL":"A number of IFN-induced proteins are believed to be responsible for the antiviral state induced by IFNs. Our microarray analysis of IFN-regulated genes in MEFs from wild-type mice identified 124 probe sets that were differentially regulated upon IFN treatment. This group consisted of many known ISGs such as Ifit1, Gbp2, mx1, Isg15, Stat1, nmi, mx2, If204, Adar, Irf1, and protein kinase R."}
{"STANDARD_NAME":"GSE3400_UNTREATED_VS_IFNB_TREATED_MEF_DN","SYSTEMATIC_NAME":"M6134","ORGANISM":"Mus musculus","PMID":"15131130","AUTHORS":"Pfeffer LM,Kim JG,Pfeffer SR,Carrigan DJ,Baker DP,Wei L,Homayouni R","GEOID":"GSE3400","EXACT_SOURCE":"GSE3400_3548_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in mouse embryonic fibroblasts (MEF): untreated versus interferon beta.","DESCRIPTION_FULL":"A number of IFN-induced proteins are believed to be responsible for the antiviral state induced by IFNs. Our microarray analysis of IFN-regulated genes in MEFs from wild-type mice identified 124 probe sets that were differentially regulated upon IFN treatment. This group consisted of many known ISGs such as Ifit1, Gbp2, mx1, Isg15, Stat1, nmi, mx2, If204, Adar, Irf1, and protein kinase R."}
{"STANDARD_NAME":"GSE1112_HY_CD8AB_VS_HY_CD8AA_THYMOCYTE_RTOC_CULTURE_DN","SYSTEMATIC_NAME":"M6138","ORGANISM":"Mus musculus","PMID":"15133507","AUTHORS":"Yamagata T,Mathis D,Benoist C","GEOID":"GSE1112","EXACT_SOURCE":"GSE1112_2933_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD8 alphabeta HY thymocyte RTOC culture versus CD8 alphaalpha HY thymocyte RTOC culture.","DESCRIPTION_FULL":"Four independent chip hybridization with RNAs from four independent RTOC cultures."}
{"STANDARD_NAME":"GSE1112_OT1_VS_HY_CD8AB_THYMOCYTE_RTOC_CULTURE_UP","SYSTEMATIC_NAME":"M6140","ORGANISM":"Mus musculus","PMID":"15133507","AUTHORS":"Yamagata T,Mathis D,Benoist C","GEOID":"GSE1112","EXACT_SOURCE":"GSE1112_2931_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD8 alphabeta OT1 thymocyte RTOC culture versus CD8 alphabeta HY thymocyte RTOC culture.","DESCRIPTION_FULL":"Four independent chip hybridization with RNAs from four independent RTOC cultures."}
{"STANDARD_NAME":"GSE1112_OT1_CD8AB_VS_HY_CD8AA_THYMOCYTE_RTOC_CULTURE_UP","SYSTEMATIC_NAME":"M6141","ORGANISM":"Mus musculus","PMID":"15133507","AUTHORS":"Yamagata T,Mathis D,Benoist C","GEOID":"GSE1112","EXACT_SOURCE":"GSE1112_2932_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD8 alphabeta OT1 thymocyte RTOC culture versus CD8 alphaalpha HY thymocyte RTOC culture.","DESCRIPTION_FULL":"Four independent chip hybridization with RNAs from four independent RTOC cultures."}
{"STANDARD_NAME":"GSE1112_OT1_CD8AB_VS_HY_CD8AA_THYMOCYTE_RTOC_CULTURE_DN","SYSTEMATIC_NAME":"M6142","ORGANISM":"Mus musculus","PMID":"15133507","AUTHORS":"Yamagata T,Mathis D,Benoist C","GEOID":"GSE1112","EXACT_SOURCE":"GSE1112_2932_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD8 alphabeta OT1 thymocyte RTOC culture versus CD8 alphaalpha HY thymocyte RTOC culture.","DESCRIPTION_FULL":"Four independent chip hybridization with RNAs from four independent RTOC cultures."}
{"STANDARD_NAME":"GSE1112_HY_CD8AB_VS_HY_CD8AA_THYMOCYTE_RTOC_CULTURE_UP","SYSTEMATIC_NAME":"M6143","ORGANISM":"Mus musculus","PMID":"15133507","AUTHORS":"Yamagata T,Mathis D,Benoist C","GEOID":"GSE1112","EXACT_SOURCE":"GSE1112_2933_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD8 alphabeta HY thymocyte RTOC culture versus CD8 alphaalpha HY thymocyte RTOC culture.","DESCRIPTION_FULL":"Four independent chip hybridization with RNAs from four independent RTOC cultures."}
{"STANDARD_NAME":"GSE1112_OT1_VS_HY_CD8AB_THYMOCYTE_RTOC_CULTURE_DN","SYSTEMATIC_NAME":"M6146","ORGANISM":"Mus musculus","PMID":"15133507","AUTHORS":"Yamagata T,Mathis D,Benoist C","GEOID":"GSE1112","EXACT_SOURCE":"GSE1112_2931_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD8 alphabeta OT1 thymocyte RTOC culture versus CD8 alphabeta HY thymocyte RTOC culture.","DESCRIPTION_FULL":"Four independent chip hybridization with RNAs from four independent RTOC cultures."}
{"STANDARD_NAME":"GSE1740_MCSF_VS_MCSF_AND_IFNG_DAY2_DERIVED_MACROPHAGE_WITH_IFNA_STIM_DN","SYSTEMATIC_NAME":"M6147","ORGANISM":"Homo sapiens","PMID":"15467722","AUTHORS":"Tassiulas I,Hu X,Ho H,Kashyap Y,Paik P,Hu Y,Lowell CA,Ivashkiv LB","GEOID":"GSE1740","EXACT_SOURCE":"GSE1740_2639_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in monocyte-derived macrophages: no priming, stimulated by interferon alpha versus primed by IFNG [GeneID=3458] and then stimulated by interferon alpha.","DESCRIPTION_FULL":"Type I IFN-inducible gene expression in human blood monocytes primed with Type II IFN."}
{"STANDARD_NAME":"GSE1740_UNSTIM_VS_IFNA_STIMULATED_MCSF_DERIVED_MACROPHAGE_UP","SYSTEMATIC_NAME":"M6148","ORGANISM":"Homo sapiens","PMID":"15467722","AUTHORS":"Tassiulas I,Hu X,Ho H,Kashyap Y,Paik P,Hu Y,Lowell CA,Ivashkiv LB","GEOID":"GSE1740","EXACT_SOURCE":"GSE1740_2636_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in monocyte-derived macrophages: untreated versus stimulated by interferon alpha.","DESCRIPTION_FULL":"Type I IFN-inducible gene expression in human blood monocytes primed with Type II IFN."}
{"STANDARD_NAME":"GSE1740_UNSTIM_VS_IFNA_STIMULATED_MCSF_DERIVED_MACROPHAGE_DN","SYSTEMATIC_NAME":"M6150","ORGANISM":"Homo sapiens","PMID":"15467722","AUTHORS":"Tassiulas I,Hu X,Ho H,Kashyap Y,Paik P,Hu Y,Lowell CA,Ivashkiv LB","GEOID":"GSE1740","EXACT_SOURCE":"GSE1740_2636_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in monocyte-derived macrophages: untreated versus stimulated by interferon alpha.","DESCRIPTION_FULL":"Type I IFN-inducible gene expression in human blood monocytes primed with Type II IFN."}
{"STANDARD_NAME":"GSE1740_UNSTIM_VS_IFNA_STIMULATED_MCSF_IFNG_DERIVED_MACROPHAGE_DN","SYSTEMATIC_NAME":"M6152","ORGANISM":"Homo sapiens","PMID":"15467722","AUTHORS":"Tassiulas I,Hu X,Ho H,Kashyap Y,Paik P,Hu Y,Lowell CA,Ivashkiv LB","GEOID":"GSE1740","EXACT_SOURCE":"GSE1740_2637_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in monocyte-derived macrophages primed by IFNG [GeneID=3458]: untreated versus interferon alpha.","DESCRIPTION_FULL":"Type I IFN-inducible gene expression in human blood monocytes primed with Type II IFN."}
{"STANDARD_NAME":"GSE1740_MCSF_VS_MCSF_AND_IFNG_DAY2_DERIVED_MACROPHAGE_UP","SYSTEMATIC_NAME":"M6156","ORGANISM":"Homo sapiens","PMID":"15467722","AUTHORS":"Tassiulas I,Hu X,Ho H,Kashyap Y,Paik P,Hu Y,Lowell CA,Ivashkiv LB","GEOID":"GSE1740","EXACT_SOURCE":"GSE1740_2638_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in monocyte-derived macrophages: no priming versus primed by IFNG [GeneID=3458].","DESCRIPTION_FULL":"Type I IFN-inducible gene expression in human blood monocytes primed with Type II IFN."}
{"STANDARD_NAME":"GSE1740_MCSF_VS_MCSF_AND_IFNG_DAY2_DERIVED_MACROPHAGE_DN","SYSTEMATIC_NAME":"M6157","ORGANISM":"Homo sapiens","PMID":"15467722","AUTHORS":"Tassiulas I,Hu X,Ho H,Kashyap Y,Paik P,Hu Y,Lowell CA,Ivashkiv LB","GEOID":"GSE1740","EXACT_SOURCE":"GSE1740_2638_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in monocyte-derived macrophages: no priming versus primed by IFNG [GeneID=3458].","DESCRIPTION_FULL":"Type I IFN-inducible gene expression in human blood monocytes primed with Type II IFN."}
{"STANDARD_NAME":"GSE1740_MCSF_VS_MCSF_AND_IFNG_DAY2_DERIVED_MACROPHAGE_WITH_IFNA_STIM_UP","SYSTEMATIC_NAME":"M6158","ORGANISM":"Homo sapiens","PMID":"15467722","AUTHORS":"Tassiulas I,Hu X,Ho H,Kashyap Y,Paik P,Hu Y,Lowell CA,Ivashkiv LB","GEOID":"GSE1740","EXACT_SOURCE":"GSE1740_2639_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in monocyte-derived macrophages: no priming, stimulated by interferon alpha versus primed by IFNG [GeneID=3458] and then stimulated by interferon alpha.","DESCRIPTION_FULL":"Type I IFN-inducible gene expression in human blood monocytes primed with Type II IFN."}
{"STANDARD_NAME":"GSE1740_UNSTIM_VS_IFNA_STIMULATED_MCSF_IFNG_DERIVED_MACROPHAGE_UP","SYSTEMATIC_NAME":"M6159","ORGANISM":"Homo sapiens","PMID":"15467722","AUTHORS":"Tassiulas I,Hu X,Ho H,Kashyap Y,Paik P,Hu Y,Lowell CA,Ivashkiv LB","GEOID":"GSE1740","EXACT_SOURCE":"GSE1740_2637_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in monocyte-derived macrophages primed by IFNG [GeneID=3458]: untreated versus interferon alpha.","DESCRIPTION_FULL":"Type I IFN-inducible gene expression in human blood monocytes primed with Type II IFN."}
{"STANDARD_NAME":"GSE1791_CTRL_VS_NEUROMEDINU_IN_T_CELL_LINE_3H_DN","SYSTEMATIC_NAME":"M6160","ORGANISM":"Mus musculus","PMID":"15585845","AUTHORS":"Johnson EN,Appelbaum ER,Carpenter DC,Cox RF,Disa J,Foley JJ,Ghosh SK,Naselsky DP,Pullen MA,Sarau HM,Scheff SR,Steplewski KM,Zaks-Zilberman M,Aiyar N","GEOID":"GSE1791","EXACT_SOURCE":"GSE1791_2959_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in D10.G4.1 T cell line (3h): control versus treated with NMU [GeneID=10874].","DESCRIPTION_FULL":"Effects of Neuromedin-U on gene expression in mouse D10.G4.1 T-cells natively expressing the GPCR Axor13"}
{"STANDARD_NAME":"GSE1791_CTRL_VS_NEUROMEDINU_IN_T_CELL_LINE_0.8H_DN","SYSTEMATIC_NAME":"M6163","ORGANISM":"Mus musculus","PMID":"15585845","AUTHORS":"Johnson EN,Appelbaum ER,Carpenter DC,Cox RF,Disa J,Foley JJ,Ghosh SK,Naselsky DP,Pullen MA,Sarau HM,Scheff SR,Steplewski KM,Zaks-Zilberman M,Aiyar N","GEOID":"GSE1791","EXACT_SOURCE":"GSE1791_2958_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in D10.G4.1 T cell line (0.8h): control versus treated with NMU [GeneID=10874].","DESCRIPTION_FULL":"Effects of Neuromedin-U on gene expression in mouse D10.G4.1 T-cells natively expressing the GPCR Axor13"}
{"STANDARD_NAME":"GSE1791_CTRL_VS_NEUROMEDINU_IN_T_CELL_LINE_0.8H_UP","SYSTEMATIC_NAME":"M6165","ORGANISM":"Mus musculus","PMID":"15585845","AUTHORS":"Johnson EN,Appelbaum ER,Carpenter DC,Cox RF,Disa J,Foley JJ,Ghosh SK,Naselsky DP,Pullen MA,Sarau HM,Scheff SR,Steplewski KM,Zaks-Zilberman M,Aiyar N","GEOID":"GSE1791","EXACT_SOURCE":"GSE1791_2958_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in D10.G4.1 T cell line (0.8h): control versus treated with NMU [GeneID=10874].","DESCRIPTION_FULL":"Effects of Neuromedin-U on gene expression in mouse D10.G4.1 T-cells natively expressing the GPCR Axor13"}
{"STANDARD_NAME":"GSE1791_CTRL_VS_NEUROMEDINU_IN_T_CELL_LINE_6H_UP","SYSTEMATIC_NAME":"M6166","ORGANISM":"Mus musculus","PMID":"15585845","AUTHORS":"Johnson EN,Appelbaum ER,Carpenter DC,Cox RF,Disa J,Foley JJ,Ghosh SK,Naselsky DP,Pullen MA,Sarau HM,Scheff SR,Steplewski KM,Zaks-Zilberman M,Aiyar N","GEOID":"GSE1791","EXACT_SOURCE":"GSE1791_2960_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in D10.G4.1 T cell line (6h): control versus treated with NMU [GeneID=10874].","DESCRIPTION_FULL":"Effects of Neuromedin-U on gene expression in mouse D10.G4.1 T-cells natively expressing the GPCR Axor13"}
{"STANDARD_NAME":"GSE1791_CTRL_VS_NEUROMEDINU_IN_T_CELL_LINE_3H_UP","SYSTEMATIC_NAME":"M6167","ORGANISM":"Mus musculus","PMID":"15585845","AUTHORS":"Johnson EN,Appelbaum ER,Carpenter DC,Cox RF,Disa J,Foley JJ,Ghosh SK,Naselsky DP,Pullen MA,Sarau HM,Scheff SR,Steplewski KM,Zaks-Zilberman M,Aiyar N","GEOID":"GSE1791","EXACT_SOURCE":"GSE1791_2959_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in D10.G4.1 T cell line (3h): control versus treated with NMU [GeneID=10874].","DESCRIPTION_FULL":"Effects of Neuromedin-U on gene expression in mouse D10.G4.1 T-cells natively expressing the GPCR Axor13"}
{"STANDARD_NAME":"GSE1791_CTRL_VS_NEUROMEDINU_IN_T_CELL_LINE_12H_UP","SYSTEMATIC_NAME":"M6168","ORGANISM":"Mus musculus","PMID":"15585845","AUTHORS":"Johnson EN,Appelbaum ER,Carpenter DC,Cox RF,Disa J,Foley JJ,Ghosh SK,Naselsky DP,Pullen MA,Sarau HM,Scheff SR,Steplewski KM,Zaks-Zilberman M,Aiyar N","GEOID":"GSE1791","EXACT_SOURCE":"GSE1791_2961_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in D10.G4.1 T cell line (12h): control versus treated with NMU [GeneID=10874].","DESCRIPTION_FULL":"Effects of Neuromedin-U on gene expression in mouse D10.G4.1 T-cells natively expressing the GPCR Axor13"}
{"STANDARD_NAME":"GSE1791_CTRL_VS_NEUROMEDINU_IN_T_CELL_LINE_12H_DN","SYSTEMATIC_NAME":"M6169","ORGANISM":"Mus musculus","PMID":"15585845","AUTHORS":"Johnson EN,Appelbaum ER,Carpenter DC,Cox RF,Disa J,Foley JJ,Ghosh SK,Naselsky DP,Pullen MA,Sarau HM,Scheff SR,Steplewski KM,Zaks-Zilberman M,Aiyar N","GEOID":"GSE1791","EXACT_SOURCE":"GSE1791_2961_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in D10.G4.1 T cell line (12h): control versus treated with NMU [GeneID=10874].","DESCRIPTION_FULL":"Effects of Neuromedin-U on gene expression in mouse D10.G4.1 T-cells natively expressing the GPCR Axor13"}
{"STANDARD_NAME":"GSE1791_CTRL_VS_NEUROMEDINU_IN_T_CELL_LINE_6H_DN","SYSTEMATIC_NAME":"M6172","ORGANISM":"Mus musculus","PMID":"15585845","AUTHORS":"Johnson EN,Appelbaum ER,Carpenter DC,Cox RF,Disa J,Foley JJ,Ghosh SK,Naselsky DP,Pullen MA,Sarau HM,Scheff SR,Steplewski KM,Zaks-Zilberman M,Aiyar N","GEOID":"GSE1791","EXACT_SOURCE":"GSE1791_2960_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in D10.G4.1 T cell line (6h): control versus treated with NMU [GeneID=10874].","DESCRIPTION_FULL":"Effects of Neuromedin-U on gene expression in mouse D10.G4.1 T-cells natively expressing the GPCR Axor13"}
{"STANDARD_NAME":"GSE2128_CTRL_VS_MIMETOPE_NEGATIVE_SELECTION_DP_THYMOCYTE_NOD_DN","SYSTEMATIC_NAME":"M6174","ORGANISM":"Mus musculus","PMID":"15780994","AUTHORS":"Zucchelli S,Holler P,Yamagata T,Roy M,Benoist C,Mathis D","GEOID":"GSE2128","EXACT_SOURCE":"GSE2128_2392_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in NOD CD4 CD8 double positive thymocyte transgenic for the BDC2.5 TCR incubated with no peptide 0h versus NOD CD4 CD8 double positive thymocyte transgenic for the BDC2.5 TCR incubated with mimetope negative sel 16h.","DESCRIPTION_FULL":"Fetal thymic organ culture (FTOC) DC2.5 CD4+CD8+ thymocytes from B6g7 or NOD background. 0 or 16 hour after addition of the BDC mimitope"}
{"STANDARD_NAME":"GSE2128_C57BL6_VS_NOD_CD4CD8_DP_THYMOCYTE_UP","SYSTEMATIC_NAME":"M6178","ORGANISM":"Mus musculus","PMID":"15780994","AUTHORS":"Zucchelli S,Holler P,Yamagata T,Roy M,Benoist C,Mathis D","GEOID":"GSE2128","EXACT_SOURCE":"GSE2128_2390_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in double positive thymocytes from: B6 versus NOD mice.","DESCRIPTION_FULL":"Fetal thymic organ culture (FTOC) DC2.5 CD4+CD8+ thymocytes from B6g7 or NOD background. 0 or 16 hour after addition of the BDC mimitope"}
{"STANDARD_NAME":"GSE2128_CTRL_VS_MIMETOPE_NEGATIVE_SELECTION_DP_THYMOCYTE_C57BL6_UP","SYSTEMATIC_NAME":"M6180","ORGANISM":"Mus musculus","PMID":"15780994","AUTHORS":"Zucchelli S,Holler P,Yamagata T,Roy M,Benoist C,Mathis D","GEOID":"GSE2128","EXACT_SOURCE":"GSE2128_2391_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in C57BL6 CD4 CD8 double positive thymocyte transgenic for the BDC2.5 TCR incubated with no peptide 0h versus C57BL6 CD4 CD8 double positive thymocyte transgenic for the BDC2.5 TCR incubated with mimetope negative sel 16h.","DESCRIPTION_FULL":"Fetal thymic organ culture (FTOC) DC2.5 CD4+CD8+ thymocytes from B6g7 or NOD background. 0 or 16 hour after addition of the BDC mimitope"}
{"STANDARD_NAME":"GSE2128_C57BL6_VS_NOD_THYMOCYTE_MIMETOPE_NEGATIVE_SELECTION_DN","SYSTEMATIC_NAME":"M6182","ORGANISM":"Mus musculus","PMID":"15780994","AUTHORS":"Zucchelli S,Holler P,Yamagata T,Roy M,Benoist C,Mathis D","GEOID":"GSE2128","EXACT_SOURCE":"GSE2128_2394_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in C57BL6 CD4 CD8 double positive thymocyte transgenic for the BDC2.5 TCR incubated with mimetope negative sel 16h versus NOD CD4 CD8 double positive thymocyte transgenic for the BDC2.5 TCR incubated with mimetope negative sel 16h.","DESCRIPTION_FULL":"Fetal thymic organ culture (FTOC) DC2.5 CD4+CD8+ thymocytes from B6g7 or NOD background. 0 or 16 hour after addition of the BDC mimitope"}
{"STANDARD_NAME":"GSE2128_C57BL6_VS_NOD_THYMOCYTE_UP","SYSTEMATIC_NAME":"M6183","ORGANISM":"Mus musculus","PMID":"15780994","AUTHORS":"Zucchelli S,Holler P,Yamagata T,Roy M,Benoist C,Mathis D","GEOID":"GSE2128","EXACT_SOURCE":"GSE2128_2393_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in C57BL6 CD4 CD8 double positive thymocyte transgenic for the BDC2.5 TCR incubated with no peptide 0h versus NOD CD4 CD8 double positive thymocyte transgenic for the BDC2.5 TCR incubated with no peptide 0h.","DESCRIPTION_FULL":"Fetal thymic organ culture (FTOC) DC2.5 CD4+CD8+ thymocytes from B6g7 or NOD background. 0 or 16 hour after addition of the BDC mimitope"}
{"STANDARD_NAME":"GSE2128_C57BL6_VS_NOD_CD4CD8_DP_THYMOCYTE_DN","SYSTEMATIC_NAME":"M6184","ORGANISM":"Mus musculus","PMID":"15780994","AUTHORS":"Zucchelli S,Holler P,Yamagata T,Roy M,Benoist C,Mathis D","GEOID":"GSE2128","EXACT_SOURCE":"GSE2128_2390_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in double positive thymocytes from: B6 versus NOD mice.","DESCRIPTION_FULL":"Fetal thymic organ culture (FTOC) DC2.5 CD4+CD8+ thymocytes from B6g7 or NOD background. 0 or 16 hour after addition of the BDC mimitope"}
{"STANDARD_NAME":"GSE2128_CTRL_VS_MIMETOPE_NEGATIVE_SELECTION_DP_THYMOCYTE_C57BL6_DN","SYSTEMATIC_NAME":"M6185","ORGANISM":"Mus musculus","PMID":"15780994","AUTHORS":"Zucchelli S,Holler P,Yamagata T,Roy M,Benoist C,Mathis D","GEOID":"GSE2128","EXACT_SOURCE":"GSE2128_2391_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in C57BL6 CD4 CD8 double positive thymocyte transgenic for the BDC2.5 TCR incubated with no peptide 0h versus C57BL6 CD4 CD8 double positive thymocyte transgenic for the BDC2.5 TCR incubated with mimetope negative sel 16h.","DESCRIPTION_FULL":"Fetal thymic organ culture (FTOC) DC2.5 CD4+CD8+ thymocytes from B6g7 or NOD background. 0 or 16 hour after addition of the BDC mimitope"}
{"STANDARD_NAME":"GSE2128_CTRL_VS_MIMETOPE_NEGATIVE_SELECTION_DP_THYMOCYTE_NOD_UP","SYSTEMATIC_NAME":"M6186","ORGANISM":"Mus musculus","PMID":"15780994","AUTHORS":"Zucchelli S,Holler P,Yamagata T,Roy M,Benoist C,Mathis D","GEOID":"GSE2128","EXACT_SOURCE":"GSE2128_2392_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in NOD CD4 CD8 double positive thymocyte transgenic for the BDC2.5 TCR incubated with no peptide 0h versus NOD CD4 CD8 double positive thymocyte transgenic for the BDC2.5 TCR incubated with mimetope negative sel 16h.","DESCRIPTION_FULL":"Fetal thymic organ culture (FTOC) DC2.5 CD4+CD8+ thymocytes from B6g7 or NOD background. 0 or 16 hour after addition of the BDC mimitope"}
{"STANDARD_NAME":"GSE2128_C57BL6_VS_NOD_THYMOCYTE_DN","SYSTEMATIC_NAME":"M6187","ORGANISM":"Mus musculus","PMID":"15780994","AUTHORS":"Zucchelli S,Holler P,Yamagata T,Roy M,Benoist C,Mathis D","GEOID":"GSE2128","EXACT_SOURCE":"GSE2128_2393_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in C57BL6 CD4 CD8 double positive thymocyte transgenic for the BDC2.5 TCR incubated with no peptide 0h versus NOD CD4 CD8 double positive thymocyte transgenic for the BDC2.5 TCR incubated with no peptide 0h.","DESCRIPTION_FULL":"Fetal thymic organ culture (FTOC) DC2.5 CD4+CD8+ thymocytes from B6g7 or NOD background. 0 or 16 hour after addition of the BDC mimitope"}
{"STANDARD_NAME":"GSE2128_C57BL6_VS_NOD_THYMOCYTE_MIMETOPE_NEGATIVE_SELECTION_UP","SYSTEMATIC_NAME":"M6188","ORGANISM":"Mus musculus","PMID":"15780994","AUTHORS":"Zucchelli S,Holler P,Yamagata T,Roy M,Benoist C,Mathis D","GEOID":"GSE2128","EXACT_SOURCE":"GSE2128_2394_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in C57BL6 CD4 CD8 double positive thymocyte transgenic for the BDC2.5 TCR incubated with mimetope negative sel 16h versus NOD CD4 CD8 double positive thymocyte transgenic for the BDC2.5 TCR incubated with mimetope negative sel 16h.","DESCRIPTION_FULL":"Fetal thymic organ culture (FTOC) DC2.5 CD4+CD8+ thymocytes from B6g7 or NOD background. 0 or 16 hour after addition of the BDC mimitope"}
{"STANDARD_NAME":"GSE2124_CTRL_VS_LYMPHOTOXIN_BETA_TREATED_MLN_DN","SYSTEMATIC_NAME":"M6190","ORGANISM":"Mus musculus","PMID":"15843551","AUTHORS":"Huber C,Thielen C,Seeger H,Schwarz P,Montrasio F,Wilson MR,Heinen E,Fu YX,Miele G,Aguzzi A","GEOID":"GSE2124","EXACT_SOURCE":"GSE2124_3055_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in mesenteric lymph nodes: control versus 1 day after injection with soluble form of LTB [GeneID=4050].","DESCRIPTION_FULL":"treatment of mesenteric lymph nodes with soluble lymphotoxin-beta receptor for 0,1,2,3,27 and 35 days"}
{"STANDARD_NAME":"GSE2124_CTRL_VS_LYMPHOTOXIN_BETA_TREATED_MLN_UP","SYSTEMATIC_NAME":"M6191","ORGANISM":"Mus musculus","PMID":"15843551","AUTHORS":"Huber C,Thielen C,Seeger H,Schwarz P,Montrasio F,Wilson MR,Heinen E,Fu YX,Miele G,Aguzzi A","GEOID":"GSE2124","EXACT_SOURCE":"GSE2124_3055_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in mesenteric lymph nodes: control versus 1 day after injection with soluble form of LTB [GeneID=4050].","DESCRIPTION_FULL":"treatment of mesenteric lymph nodes with soluble lymphotoxin-beta receptor for 0,1,2,3,27 and 35 days"}
{"STANDARD_NAME":"GSE2405_S_AUREUS_VS_UNTREATED_NEUTROPHIL_UP","SYSTEMATIC_NAME":"M6192","ORGANISM":"Homo sapiens","PMID":"15879137","AUTHORS":"Borjesson DL,Kobayashi SD,Whitney AR,Voyich JM,Argue CM,Deleo FR","GEOID":"GSE2405","EXACT_SOURCE":"GSE2405_3574_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in polymorphonuclear leukocytes (9h): S. aureus infection versus control.","DESCRIPTION_FULL":"Polymorphonuclear leukocytes (PMNs) were obtained from healthy individuals in accordance with protocols approved by the Institutional Review Board for Human Subjects at the University of Minnesota and the National Institute of Allergy and Infectious Diseases. PMNs (107) were combined on ice with live S. aureus (108) or with live or heat-killed A. phagocytophilum (bacteria isolated from 5x106 infected HL60 cells for a ratio of 1 infected HL60 cell: 2 PMNs, ~ 5-20 A. phagocytophilum: PMN) in wells of a 12-well tissue culture plate (pre-coated with 20% autologous normal human serum). Unstimulated control assays received either buffer (for S. aureus comparisons) or clarified HL60 lysate (for A. phagocytophilum comparisons). Plates were centrifuged at 350 x g for 8 min at 4oC to synchronize phagocytosis and incubated at 37 deg. C in a CO2 incubator for the indicated times. At the indicated times, tissue culture medium was aspirated from the plate and PMNs were lysed directly with RLT buffer (Qiagen, Valencia, CA). Purification of PMN RNA and subsequent preparation of labeled cRNA target was performed as described in Methods. Labeling of samples, hybridization of cRNA with HU133A oligonucleotide arrays (Affymetrix, Santa Clara, CA), and scanning were performed according to standard Affymetrix protocols ( http://www.affymetrix.com/pdf/expression_manual.pdf ). Experiments were performed in triplicate, using PMNs from three healthy individuals for each treatment."}
{"STANDARD_NAME":"GSE2405_0H_VS_24H_A_PHAGOCYTOPHILUM_STIM_NEUTROPHIL_DN","SYSTEMATIC_NAME":"M6193","ORGANISM":"Homo sapiens","PMID":"15879137","AUTHORS":"Borjesson DL,Kobayashi SD,Whitney AR,Voyich JM,Argue CM,Deleo FR","GEOID":"GSE2405","EXACT_SOURCE":"GSE2405_3587_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in polymorphonuclear leukocytes (24h): control versus infection by A. phagocytophilum.","DESCRIPTION_FULL":"Polymorphonuclear leukocytes (PMNs) were obtained from healthy individuals in accordance with protocols approved by the Institutional Review Board for Human Subjects at the University of Minnesota and the National Institute of Allergy and Infectious Diseases. PMNs (107) were combined on ice with live S. aureus (108) or with live or heat-killed A. phagocytophilum (bacteria isolated from 5x106 infected HL60 cells for a ratio of 1 infected HL60 cell: 2 PMNs, ~ 5-20 A. phagocytophilum: PMN) in wells of a 12-well tissue culture plate (pre-coated with 20% autologous normal human serum). Unstimulated control assays received either buffer (for S. aureus comparisons) or clarified HL60 lysate (for A. phagocytophilum comparisons). Plates were centrifuged at 350 x g for 8 min at 4oC to synchronize phagocytosis and incubated at 37 deg. C in a CO2 incubator for the indicated times. At the indicated times, tissue culture medium was aspirated from the plate and PMNs were lysed directly with RLT buffer (Qiagen, Valencia, CA). Purification of PMN RNA and subsequent preparation of labeled cRNA target was performed as described in Methods. Labeling of samples, hybridization of cRNA with HU133A oligonucleotide arrays (Affymetrix, Santa Clara, CA), and scanning were performed according to standard Affymetrix protocols ( http://www.affymetrix.com/pdf/expression_manual.pdf ). Experiments were performed in triplicate, using PMNs from three healthy individuals for each treatment."}
{"STANDARD_NAME":"GSE2405_HEAT_KILLED_VS_LIVE_A_PHAGOCYTOPHILUM_STIM_NEUTROPHIL_9H_UP","SYSTEMATIC_NAME":"M6194","ORGANISM":"Homo sapiens","PMID":"15879137","AUTHORS":"Borjesson DL,Kobayashi SD,Whitney AR,Voyich JM,Argue CM,Deleo FR","GEOID":"GSE2405","EXACT_SOURCE":"GSE2405_3588_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in polymorphonuclear leukocytes (9h) infection by A. phagocytophilum: heat killed versus live bacteria.","DESCRIPTION_FULL":"Polymorphonuclear leukocytes (PMNs) were obtained from healthy individuals in accordance with protocols approved by the Institutional Review Board for Human Subjects at the University of Minnesota and the National Institute of Allergy and Infectious Diseases. PMNs (107) were combined on ice with live S. aureus (108) or with live or heat-killed A. phagocytophilum (bacteria isolated from 5x106 infected HL60 cells for a ratio of 1 infected HL60 cell: 2 PMNs, ~ 5-20 A. phagocytophilum: PMN) in wells of a 12-well tissue culture plate (pre-coated with 20% autologous normal human serum). Unstimulated control assays received either buffer (for S. aureus comparisons) or clarified HL60 lysate (for A. phagocytophilum comparisons). Plates were centrifuged at 350 x g for 8 min at 4oC to synchronize phagocytosis and incubated at 37 deg. C in a CO2 incubator for the indicated times. At the indicated times, tissue culture medium was aspirated from the plate and PMNs were lysed directly with RLT buffer (Qiagen, Valencia, CA). Purification of PMN RNA and subsequent preparation of labeled cRNA target was performed as described in Methods. Labeling of samples, hybridization of cRNA with HU133A oligonucleotide arrays (Affymetrix, Santa Clara, CA), and scanning were performed according to standard Affymetrix protocols ( http://www.affymetrix.com/pdf/expression_manual.pdf ). Experiments were performed in triplicate, using PMNs from three healthy individuals for each treatment."}
{"STANDARD_NAME":"GSE2405_HEAT_KILLED_VS_LIVE_A_PHAGOCYTOPHILUM_STIM_NEUTROPHIL_9H_DN","SYSTEMATIC_NAME":"M6196","ORGANISM":"Homo sapiens","PMID":"15879137","AUTHORS":"Borjesson DL,Kobayashi SD,Whitney AR,Voyich JM,Argue CM,Deleo FR","GEOID":"GSE2405","EXACT_SOURCE":"GSE2405_3588_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in polymorphonuclear leukocytes (9h) infection by A. phagocytophilum: heat killed versus live bacteria.","DESCRIPTION_FULL":"Polymorphonuclear leukocytes (PMNs) were obtained from healthy individuals in accordance with protocols approved by the Institutional Review Board for Human Subjects at the University of Minnesota and the National Institute of Allergy and Infectious Diseases. PMNs (107) were combined on ice with live S. aureus (108) or with live or heat-killed A. phagocytophilum (bacteria isolated from 5x106 infected HL60 cells for a ratio of 1 infected HL60 cell: 2 PMNs, ~ 5-20 A. phagocytophilum: PMN) in wells of a 12-well tissue culture plate (pre-coated with 20% autologous normal human serum). Unstimulated control assays received either buffer (for S. aureus comparisons) or clarified HL60 lysate (for A. phagocytophilum comparisons). Plates were centrifuged at 350 x g for 8 min at 4oC to synchronize phagocytosis and incubated at 37 deg. C in a CO2 incubator for the indicated times. At the indicated times, tissue culture medium was aspirated from the plate and PMNs were lysed directly with RLT buffer (Qiagen, Valencia, CA). Purification of PMN RNA and subsequent preparation of labeled cRNA target was performed as described in Methods. Labeling of samples, hybridization of cRNA with HU133A oligonucleotide arrays (Affymetrix, Santa Clara, CA), and scanning were performed according to standard Affymetrix protocols ( http://www.affymetrix.com/pdf/expression_manual.pdf ). Experiments were performed in triplicate, using PMNs from three healthy individuals for each treatment."}
{"STANDARD_NAME":"GSE2405_0H_VS_12H_A_PHAGOCYTOPHILUM_STIM_NEUTROPHIL_UP","SYSTEMATIC_NAME":"M6197","ORGANISM":"Homo sapiens","PMID":"15879137","AUTHORS":"Borjesson DL,Kobayashi SD,Whitney AR,Voyich JM,Argue CM,Deleo FR","GEOID":"GSE2405","EXACT_SOURCE":"GSE2405_3586_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in polymorphonuclear leukocytes (12h): control versus infection by A. phagocytophilum.","DESCRIPTION_FULL":"Polymorphonuclear leukocytes (PMNs) were obtained from healthy individuals in accordance with protocols approved by the Institutional Review Board for Human Subjects at the University of Minnesota and the National Institute of Allergy and Infectious Diseases. PMNs (107) were combined on ice with live S. aureus (108) or with live or heat-killed A. phagocytophilum (bacteria isolated from 5x106 infected HL60 cells for a ratio of 1 infected HL60 cell: 2 PMNs, ~ 5-20 A. phagocytophilum: PMN) in wells of a 12-well tissue culture plate (pre-coated with 20% autologous normal human serum). Unstimulated control assays received either buffer (for S. aureus comparisons) or clarified HL60 lysate (for A. phagocytophilum comparisons). Plates were centrifuged at 350 x g for 8 min at 4oC to synchronize phagocytosis and incubated at 37 deg. C in a CO2 incubator for the indicated times. At the indicated times, tissue culture medium was aspirated from the plate and PMNs were lysed directly with RLT buffer (Qiagen, Valencia, CA). Purification of PMN RNA and subsequent preparation of labeled cRNA target was performed as described in Methods. Labeling of samples, hybridization of cRNA with HU133A oligonucleotide arrays (Affymetrix, Santa Clara, CA), and scanning were performed according to standard Affymetrix protocols ( http://www.affymetrix.com/pdf/expression_manual.pdf ). Experiments were performed in triplicate, using PMNs from three healthy individuals for each treatment."}
{"STANDARD_NAME":"GSE2405_HEAT_KILLED_LYSATE_VS_LIVE_A_PHAGOCYTOPHILUM_STIM_NEUTROPHIL_9H_UP","SYSTEMATIC_NAME":"M6198","ORGANISM":"Homo sapiens","PMID":"15879137","AUTHORS":"Borjesson DL,Kobayashi SD,Whitney AR,Voyich JM,Argue CM,Deleo FR","GEOID":"GSE2405","EXACT_SOURCE":"GSE2405_3590_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in polymorphonuclear leukocytes (9h): treated by heat killed HC60 cell (promyelocytic leukemia) lysate versus A. phagocytophilum infection.","DESCRIPTION_FULL":"Polymorphonuclear leukocytes (PMNs) were obtained from healthy individuals in accordance with protocols approved by the Institutional Review Board for Human Subjects at the University of Minnesota and the National Institute of Allergy and Infectious Diseases. PMNs (107) were combined on ice with live S. aureus (108) or with live or heat-killed A. phagocytophilum (bacteria isolated from 5x106 infected HL60 cells for a ratio of 1 infected HL60 cell: 2 PMNs, ~ 5-20 A. phagocytophilum: PMN) in wells of a 12-well tissue culture plate (pre-coated with 20% autologous normal human serum). Unstimulated control assays received either buffer (for S. aureus comparisons) or clarified HL60 lysate (for A. phagocytophilum comparisons). Plates were centrifuged at 350 x g for 8 min at 4oC to synchronize phagocytosis and incubated at 37 deg. C in a CO2 incubator for the indicated times. At the indicated times, tissue culture medium was aspirated from the plate and PMNs were lysed directly with RLT buffer (Qiagen, Valencia, CA). Purification of PMN RNA and subsequent preparation of labeled cRNA target was performed as described in Methods. Labeling of samples, hybridization of cRNA with HU133A oligonucleotide arrays (Affymetrix, Santa Clara, CA), and scanning were performed according to standard Affymetrix protocols ( http://www.affymetrix.com/pdf/expression_manual.pdf ). Experiments were performed in triplicate, using PMNs from three healthy individuals for each treatment."}
{"STANDARD_NAME":"GSE2405_HEAT_KILLED_LYSATE_VS_LIVE_A_PHAGOCYTOPHILUM_STIM_NEUTROPHIL_9H_DN","SYSTEMATIC_NAME":"M6199","ORGANISM":"Homo sapiens","PMID":"15879137","AUTHORS":"Borjesson DL,Kobayashi SD,Whitney AR,Voyich JM,Argue CM,Deleo FR","GEOID":"GSE2405","EXACT_SOURCE":"GSE2405_3590_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in polymorphonuclear leukocytes (9h): treated by heat killed HC60 cell (promyelocytic leukemia) lysate versus A. phagocytophilum infection.","DESCRIPTION_FULL":"Polymorphonuclear leukocytes (PMNs) were obtained from healthy individuals in accordance with protocols approved by the Institutional Review Board for Human Subjects at the University of Minnesota and the National Institute of Allergy and Infectious Diseases. PMNs (107) were combined on ice with live S. aureus (108) or with live or heat-killed A. phagocytophilum (bacteria isolated from 5x106 infected HL60 cells for a ratio of 1 infected HL60 cell: 2 PMNs, ~ 5-20 A. phagocytophilum: PMN) in wells of a 12-well tissue culture plate (pre-coated with 20% autologous normal human serum). Unstimulated control assays received either buffer (for S. aureus comparisons) or clarified HL60 lysate (for A. phagocytophilum comparisons). Plates were centrifuged at 350 x g for 8 min at 4oC to synchronize phagocytosis and incubated at 37 deg. C in a CO2 incubator for the indicated times. At the indicated times, tissue culture medium was aspirated from the plate and PMNs were lysed directly with RLT buffer (Qiagen, Valencia, CA). Purification of PMN RNA and subsequent preparation of labeled cRNA target was performed as described in Methods. Labeling of samples, hybridization of cRNA with HU133A oligonucleotide arrays (Affymetrix, Santa Clara, CA), and scanning were performed according to standard Affymetrix protocols ( http://www.affymetrix.com/pdf/expression_manual.pdf ). Experiments were performed in triplicate, using PMNs from three healthy individuals for each treatment."}
{"STANDARD_NAME":"GSE2405_HEAT_KILLED_LYSATE_VS_LIVE_A_PHAGOCYTOPHILUM_STIM_NEUTROPHIL_24H_UP","SYSTEMATIC_NAME":"M6200","ORGANISM":"Homo sapiens","PMID":"15879137","AUTHORS":"Borjesson DL,Kobayashi SD,Whitney AR,Voyich JM,Argue CM,Deleo FR","GEOID":"GSE2405","EXACT_SOURCE":"GSE2405_3591_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in polymorphonuclear leukocytes (24h): treated by heat killed HC60 cell (promyelocytic leukemia) lysate versus A. phagocytophilum infection.","DESCRIPTION_FULL":"Polymorphonuclear leukocytes (PMNs) were obtained from healthy individuals in accordance with protocols approved by the Institutional Review Board for Human Subjects at the University of Minnesota and the National Institute of Allergy and Infectious Diseases. PMNs (107) were combined on ice with live S. aureus (108) or with live or heat-killed A. phagocytophilum (bacteria isolated from 5x106 infected HL60 cells for a ratio of 1 infected HL60 cell: 2 PMNs, ~ 5-20 A. phagocytophilum: PMN) in wells of a 12-well tissue culture plate (pre-coated with 20% autologous normal human serum). Unstimulated control assays received either buffer (for S. aureus comparisons) or clarified HL60 lysate (for A. phagocytophilum comparisons). Plates were centrifuged at 350 x g for 8 min at 4oC to synchronize phagocytosis and incubated at 37 deg. C in a CO2 incubator for the indicated times. At the indicated times, tissue culture medium was aspirated from the plate and PMNs were lysed directly with RLT buffer (Qiagen, Valencia, CA). Purification of PMN RNA and subsequent preparation of labeled cRNA target was performed as described in Methods. Labeling of samples, hybridization of cRNA with HU133A oligonucleotide arrays (Affymetrix, Santa Clara, CA), and scanning were performed according to standard Affymetrix protocols ( http://www.affymetrix.com/pdf/expression_manual.pdf ). Experiments were performed in triplicate, using PMNs from three healthy individuals for each treatment."}
{"STANDARD_NAME":"GSE2405_HEAT_KILLED_LYSATE_VS_LIVE_A_PHAGOCYTOPHILUM_STIM_NEUTROPHIL_24H_DN","SYSTEMATIC_NAME":"M6201","ORGANISM":"Homo sapiens","PMID":"15879137","AUTHORS":"Borjesson DL,Kobayashi SD,Whitney AR,Voyich JM,Argue CM,Deleo FR","GEOID":"GSE2405","EXACT_SOURCE":"GSE2405_3591_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in polymorphonuclear leukocytes (24h): treated by heat killed HC60 cell (promyelocytic leukemia) lysate versus A. phagocytophilum infection.","DESCRIPTION_FULL":"Polymorphonuclear leukocytes (PMNs) were obtained from healthy individuals in accordance with protocols approved by the Institutional Review Board for Human Subjects at the University of Minnesota and the National Institute of Allergy and Infectious Diseases. PMNs (107) were combined on ice with live S. aureus (108) or with live or heat-killed A. phagocytophilum (bacteria isolated from 5x106 infected HL60 cells for a ratio of 1 infected HL60 cell: 2 PMNs, ~ 5-20 A. phagocytophilum: PMN) in wells of a 12-well tissue culture plate (pre-coated with 20% autologous normal human serum). Unstimulated control assays received either buffer (for S. aureus comparisons) or clarified HL60 lysate (for A. phagocytophilum comparisons). Plates were centrifuged at 350 x g for 8 min at 4oC to synchronize phagocytosis and incubated at 37 deg. C in a CO2 incubator for the indicated times. At the indicated times, tissue culture medium was aspirated from the plate and PMNs were lysed directly with RLT buffer (Qiagen, Valencia, CA). Purification of PMN RNA and subsequent preparation of labeled cRNA target was performed as described in Methods. Labeling of samples, hybridization of cRNA with HU133A oligonucleotide arrays (Affymetrix, Santa Clara, CA), and scanning were performed according to standard Affymetrix protocols ( http://www.affymetrix.com/pdf/expression_manual.pdf ). Experiments were performed in triplicate, using PMNs from three healthy individuals for each treatment."}
{"STANDARD_NAME":"GSE2405_0H_VS_9H_A_PHAGOCYTOPHILUM_STIM_NEUTROPHIL_DN","SYSTEMATIC_NAME":"M6202","ORGANISM":"Homo sapiens","PMID":"15879137","AUTHORS":"Borjesson DL,Kobayashi SD,Whitney AR,Voyich JM,Argue CM,Deleo FR","GEOID":"GSE2405","EXACT_SOURCE":"GSE2405_3585_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in polymorphonuclear leukocytes (9h): control versus infection by A. phagocytophilum.","DESCRIPTION_FULL":"Polymorphonuclear leukocytes (PMNs) were obtained from healthy individuals in accordance with protocols approved by the Institutional Review Board for Human Subjects at the University of Minnesota and the National Institute of Allergy and Infectious Diseases. PMNs (107) were combined on ice with live S. aureus (108) or with live or heat-killed A. phagocytophilum (bacteria isolated from 5x106 infected HL60 cells for a ratio of 1 infected HL60 cell: 2 PMNs, ~ 5-20 A. phagocytophilum: PMN) in wells of a 12-well tissue culture plate (pre-coated with 20% autologous normal human serum). Unstimulated control assays received either buffer (for S. aureus comparisons) or clarified HL60 lysate (for A. phagocytophilum comparisons). Plates were centrifuged at 350 x g for 8 min at 4oC to synchronize phagocytosis and incubated at 37 deg. C in a CO2 incubator for the indicated times. At the indicated times, tissue culture medium was aspirated from the plate and PMNs were lysed directly with RLT buffer (Qiagen, Valencia, CA). Purification of PMN RNA and subsequent preparation of labeled cRNA target was performed as described in Methods. Labeling of samples, hybridization of cRNA with HU133A oligonucleotide arrays (Affymetrix, Santa Clara, CA), and scanning were performed according to standard Affymetrix protocols ( http://www.affymetrix.com/pdf/expression_manual.pdf ). Experiments were performed in triplicate, using PMNs from three healthy individuals for each treatment."}
{"STANDARD_NAME":"GSE2405_0H_VS_12H_A_PHAGOCYTOPHILUM_STIM_NEUTROPHIL_DN","SYSTEMATIC_NAME":"M6203","ORGANISM":"Homo sapiens","PMID":"15879137","AUTHORS":"Borjesson DL,Kobayashi SD,Whitney AR,Voyich JM,Argue CM,Deleo FR","GEOID":"GSE2405","EXACT_SOURCE":"GSE2405_3586_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in polymorphonuclear leukocytes (12h): control versus infection by A. phagocytophilum.","DESCRIPTION_FULL":"Polymorphonuclear leukocytes (PMNs) were obtained from healthy individuals in accordance with protocols approved by the Institutional Review Board for Human Subjects at the University of Minnesota and the National Institute of Allergy and Infectious Diseases. PMNs (107) were combined on ice with live S. aureus (108) or with live or heat-killed A. phagocytophilum (bacteria isolated from 5x106 infected HL60 cells for a ratio of 1 infected HL60 cell: 2 PMNs, ~ 5-20 A. phagocytophilum: PMN) in wells of a 12-well tissue culture plate (pre-coated with 20% autologous normal human serum). Unstimulated control assays received either buffer (for S. aureus comparisons) or clarified HL60 lysate (for A. phagocytophilum comparisons). Plates were centrifuged at 350 x g for 8 min at 4oC to synchronize phagocytosis and incubated at 37 deg. C in a CO2 incubator for the indicated times. At the indicated times, tissue culture medium was aspirated from the plate and PMNs were lysed directly with RLT buffer (Qiagen, Valencia, CA). Purification of PMN RNA and subsequent preparation of labeled cRNA target was performed as described in Methods. Labeling of samples, hybridization of cRNA with HU133A oligonucleotide arrays (Affymetrix, Santa Clara, CA), and scanning were performed according to standard Affymetrix protocols ( http://www.affymetrix.com/pdf/expression_manual.pdf ). Experiments were performed in triplicate, using PMNs from three healthy individuals for each treatment."}
{"STANDARD_NAME":"GSE2405_0H_VS_24H_A_PHAGOCYTOPHILUM_STIM_NEUTROPHIL_UP","SYSTEMATIC_NAME":"M6204","ORGANISM":"Homo sapiens","PMID":"15879137","AUTHORS":"Borjesson DL,Kobayashi SD,Whitney AR,Voyich JM,Argue CM,Deleo FR","GEOID":"GSE2405","EXACT_SOURCE":"GSE2405_3587_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in polymorphonuclear leukocytes (24h): control versus infection by A. phagocytophilum.","DESCRIPTION_FULL":"Polymorphonuclear leukocytes (PMNs) were obtained from healthy individuals in accordance with protocols approved by the Institutional Review Board for Human Subjects at the University of Minnesota and the National Institute of Allergy and Infectious Diseases. PMNs (107) were combined on ice with live S. aureus (108) or with live or heat-killed A. phagocytophilum (bacteria isolated from 5x106 infected HL60 cells for a ratio of 1 infected HL60 cell: 2 PMNs, ~ 5-20 A. phagocytophilum: PMN) in wells of a 12-well tissue culture plate (pre-coated with 20% autologous normal human serum). Unstimulated control assays received either buffer (for S. aureus comparisons) or clarified HL60 lysate (for A. phagocytophilum comparisons). Plates were centrifuged at 350 x g for 8 min at 4oC to synchronize phagocytosis and incubated at 37 deg. C in a CO2 incubator for the indicated times. At the indicated times, tissue culture medium was aspirated from the plate and PMNs were lysed directly with RLT buffer (Qiagen, Valencia, CA). Purification of PMN RNA and subsequent preparation of labeled cRNA target was performed as described in Methods. Labeling of samples, hybridization of cRNA with HU133A oligonucleotide arrays (Affymetrix, Santa Clara, CA), and scanning were performed according to standard Affymetrix protocols ( http://www.affymetrix.com/pdf/expression_manual.pdf ). Experiments were performed in triplicate, using PMNs from three healthy individuals for each treatment."}
{"STANDARD_NAME":"GSE2405_S_AUREUS_VS_UNTREATED_NEUTROPHIL_DN","SYSTEMATIC_NAME":"M6205","ORGANISM":"Homo sapiens","PMID":"15879137","AUTHORS":"Borjesson DL,Kobayashi SD,Whitney AR,Voyich JM,Argue CM,Deleo FR","GEOID":"GSE2405","EXACT_SOURCE":"GSE2405_3574_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in polymorphonuclear leukocytes (9h): S. aureus infection versus control.","DESCRIPTION_FULL":"Polymorphonuclear leukocytes (PMNs) were obtained from healthy individuals in accordance with protocols approved by the Institutional Review Board for Human Subjects at the University of Minnesota and the National Institute of Allergy and Infectious Diseases. PMNs (107) were combined on ice with live S. aureus (108) or with live or heat-killed A. phagocytophilum (bacteria isolated from 5x106 infected HL60 cells for a ratio of 1 infected HL60 cell: 2 PMNs, ~ 5-20 A. phagocytophilum: PMN) in wells of a 12-well tissue culture plate (pre-coated with 20% autologous normal human serum). Unstimulated control assays received either buffer (for S. aureus comparisons) or clarified HL60 lysate (for A. phagocytophilum comparisons). Plates were centrifuged at 350 x g for 8 min at 4oC to synchronize phagocytosis and incubated at 37 deg. C in a CO2 incubator for the indicated times. At the indicated times, tissue culture medium was aspirated from the plate and PMNs were lysed directly with RLT buffer (Qiagen, Valencia, CA). Purification of PMN RNA and subsequent preparation of labeled cRNA target was performed as described in Methods. Labeling of samples, hybridization of cRNA with HU133A oligonucleotide arrays (Affymetrix, Santa Clara, CA), and scanning were performed according to standard Affymetrix protocols ( http://www.affymetrix.com/pdf/expression_manual.pdf ). Experiments were performed in triplicate, using PMNs from three healthy individuals for each treatment."}
{"STANDARD_NAME":"GSE2405_S_AUREUS_VS_A_PHAGOCYTOPHILUM_NEUTROPHIL_UP","SYSTEMATIC_NAME":"M6207","ORGANISM":"Homo sapiens","PMID":"15879137","AUTHORS":"Borjesson DL,Kobayashi SD,Whitney AR,Voyich JM,Argue CM,Deleo FR","GEOID":"GSE2405","EXACT_SOURCE":"GSE2405_3575_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in polymorphonuclear leukocytes 9h after infection by: S. aureus versus A. phagocytophilum.","DESCRIPTION_FULL":"Polymorphonuclear leukocytes (PMNs) were obtained from healthy individuals in accordance with protocols approved by the Institutional Review Board for Human Subjects at the University of Minnesota and the National Institute of Allergy and Infectious Diseases. PMNs (107) were combined on ice with live S. aureus (108) or with live or heat-killed A. phagocytophilum (bacteria isolated from 5x106 infected HL60 cells for a ratio of 1 infected HL60 cell: 2 PMNs, ~ 5-20 A. phagocytophilum: PMN) in wells of a 12-well tissue culture plate (pre-coated with 20% autologous normal human serum). Unstimulated control assays received either buffer (for S. aureus comparisons) or clarified HL60 lysate (for A. phagocytophilum comparisons). Plates were centrifuged at 350 x g for 8 min at 4oC to synchronize phagocytosis and incubated at 37 deg. C in a CO2 incubator for the indicated times. At the indicated times, tissue culture medium was aspirated from the plate and PMNs were lysed directly with RLT buffer (Qiagen, Valencia, CA). Purification of PMN RNA and subsequent preparation of labeled cRNA target was performed as described in Methods. Labeling of samples, hybridization of cRNA with HU133A oligonucleotide arrays (Affymetrix, Santa Clara, CA), and scanning were performed according to standard Affymetrix protocols ( http://www.affymetrix.com/pdf/expression_manual.pdf ). Experiments were performed in triplicate, using PMNs from three healthy individuals for each treatment."}
{"STANDARD_NAME":"GSE2405_S_AUREUS_VS_A_PHAGOCYTOPHILUM_NEUTROPHIL_DN","SYSTEMATIC_NAME":"M6208","ORGANISM":"Homo sapiens","PMID":"15879137","AUTHORS":"Borjesson DL,Kobayashi SD,Whitney AR,Voyich JM,Argue CM,Deleo FR","GEOID":"GSE2405","EXACT_SOURCE":"GSE2405_3575_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in polymorphonuclear leukocytes 9h after infection by: S. aureus versus A. phagocytophilum.","DESCRIPTION_FULL":"Polymorphonuclear leukocytes (PMNs) were obtained from healthy individuals in accordance with protocols approved by the Institutional Review Board for Human Subjects at the University of Minnesota and the National Institute of Allergy and Infectious Diseases. PMNs (107) were combined on ice with live S. aureus (108) or with live or heat-killed A. phagocytophilum (bacteria isolated from 5x106 infected HL60 cells for a ratio of 1 infected HL60 cell: 2 PMNs, ~ 5-20 A. phagocytophilum: PMN) in wells of a 12-well tissue culture plate (pre-coated with 20% autologous normal human serum). Unstimulated control assays received either buffer (for S. aureus comparisons) or clarified HL60 lysate (for A. phagocytophilum comparisons). Plates were centrifuged at 350 x g for 8 min at 4oC to synchronize phagocytosis and incubated at 37 deg. C in a CO2 incubator for the indicated times. At the indicated times, tissue culture medium was aspirated from the plate and PMNs were lysed directly with RLT buffer (Qiagen, Valencia, CA). Purification of PMN RNA and subsequent preparation of labeled cRNA target was performed as described in Methods. Labeling of samples, hybridization of cRNA with HU133A oligonucleotide arrays (Affymetrix, Santa Clara, CA), and scanning were performed according to standard Affymetrix protocols ( http://www.affymetrix.com/pdf/expression_manual.pdf ). Experiments were performed in triplicate, using PMNs from three healthy individuals for each treatment."}
{"STANDARD_NAME":"GSE2405_0H_VS_1.5H_A_PHAGOCYTOPHILUM_STIM_NEUTROPHIL_UP","SYSTEMATIC_NAME":"M6209","ORGANISM":"Homo sapiens","PMID":"15879137","AUTHORS":"Borjesson DL,Kobayashi SD,Whitney AR,Voyich JM,Argue CM,Deleo FR","GEOID":"GSE2405","EXACT_SOURCE":"GSE2405_3582_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in polymorphonuclear leukocytes (1.5h): control versus infection by A. phagocytophilum.","DESCRIPTION_FULL":"Polymorphonuclear leukocytes (PMNs) were obtained from healthy individuals in accordance with protocols approved by the Institutional Review Board for Human Subjects at the University of Minnesota and the National Institute of Allergy and Infectious Diseases. PMNs (107) were combined on ice with live S. aureus (108) or with live or heat-killed A. phagocytophilum (bacteria isolated from 5x106 infected HL60 cells for a ratio of 1 infected HL60 cell: 2 PMNs, ~ 5-20 A. phagocytophilum: PMN) in wells of a 12-well tissue culture plate (pre-coated with 20% autologous normal human serum). Unstimulated control assays received either buffer (for S. aureus comparisons) or clarified HL60 lysate (for A. phagocytophilum comparisons). Plates were centrifuged at 350 x g for 8 min at 4oC to synchronize phagocytosis and incubated at 37 deg. C in a CO2 incubator for the indicated times. At the indicated times, tissue culture medium was aspirated from the plate and PMNs were lysed directly with RLT buffer (Qiagen, Valencia, CA). Purification of PMN RNA and subsequent preparation of labeled cRNA target was performed as described in Methods. Labeling of samples, hybridization of cRNA with HU133A oligonucleotide arrays (Affymetrix, Santa Clara, CA), and scanning were performed according to standard Affymetrix protocols ( http://www.affymetrix.com/pdf/expression_manual.pdf ). Experiments were performed in triplicate, using PMNs from three healthy individuals for each treatment."}
{"STANDARD_NAME":"GSE2405_0H_VS_1.5H_A_PHAGOCYTOPHILUM_STIM_NEUTROPHIL_DN","SYSTEMATIC_NAME":"M6211","ORGANISM":"Homo sapiens","PMID":"15879137","AUTHORS":"Borjesson DL,Kobayashi SD,Whitney AR,Voyich JM,Argue CM,Deleo FR","GEOID":"GSE2405","EXACT_SOURCE":"GSE2405_3582_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in polymorphonuclear leukocytes (1.5h): control versus infection by A. phagocytophilum.","DESCRIPTION_FULL":"Polymorphonuclear leukocytes (PMNs) were obtained from healthy individuals in accordance with protocols approved by the Institutional Review Board for Human Subjects at the University of Minnesota and the National Institute of Allergy and Infectious Diseases. PMNs (107) were combined on ice with live S. aureus (108) or with live or heat-killed A. phagocytophilum (bacteria isolated from 5x106 infected HL60 cells for a ratio of 1 infected HL60 cell: 2 PMNs, ~ 5-20 A. phagocytophilum: PMN) in wells of a 12-well tissue culture plate (pre-coated with 20% autologous normal human serum). Unstimulated control assays received either buffer (for S. aureus comparisons) or clarified HL60 lysate (for A. phagocytophilum comparisons). Plates were centrifuged at 350 x g for 8 min at 4oC to synchronize phagocytosis and incubated at 37 deg. C in a CO2 incubator for the indicated times. At the indicated times, tissue culture medium was aspirated from the plate and PMNs were lysed directly with RLT buffer (Qiagen, Valencia, CA). Purification of PMN RNA and subsequent preparation of labeled cRNA target was performed as described in Methods. Labeling of samples, hybridization of cRNA with HU133A oligonucleotide arrays (Affymetrix, Santa Clara, CA), and scanning were performed according to standard Affymetrix protocols ( http://www.affymetrix.com/pdf/expression_manual.pdf ). Experiments were performed in triplicate, using PMNs from three healthy individuals for each treatment."}
{"STANDARD_NAME":"GSE2405_0H_VS_3H_A_PHAGOCYTOPHILUM_STIM_NEUTROPHIL_UP","SYSTEMATIC_NAME":"M6212","ORGANISM":"Homo sapiens","PMID":"15879137","AUTHORS":"Borjesson DL,Kobayashi SD,Whitney AR,Voyich JM,Argue CM,Deleo FR","GEOID":"GSE2405","EXACT_SOURCE":"GSE2405_3583_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in polymorphonuclear leukocytes (3h): control versus infection by A. phagocytophilum.","DESCRIPTION_FULL":"Polymorphonuclear leukocytes (PMNs) were obtained from healthy individuals in accordance with protocols approved by the Institutional Review Board for Human Subjects at the University of Minnesota and the National Institute of Allergy and Infectious Diseases. PMNs (107) were combined on ice with live S. aureus (108) or with live or heat-killed A. phagocytophilum (bacteria isolated from 5x106 infected HL60 cells for a ratio of 1 infected HL60 cell: 2 PMNs, ~ 5-20 A. phagocytophilum: PMN) in wells of a 12-well tissue culture plate (pre-coated with 20% autologous normal human serum). Unstimulated control assays received either buffer (for S. aureus comparisons) or clarified HL60 lysate (for A. phagocytophilum comparisons). Plates were centrifuged at 350 x g for 8 min at 4oC to synchronize phagocytosis and incubated at 37 deg. C in a CO2 incubator for the indicated times. At the indicated times, tissue culture medium was aspirated from the plate and PMNs were lysed directly with RLT buffer (Qiagen, Valencia, CA). Purification of PMN RNA and subsequent preparation of labeled cRNA target was performed as described in Methods. Labeling of samples, hybridization of cRNA with HU133A oligonucleotide arrays (Affymetrix, Santa Clara, CA), and scanning were performed according to standard Affymetrix protocols ( http://www.affymetrix.com/pdf/expression_manual.pdf ). Experiments were performed in triplicate, using PMNs from three healthy individuals for each treatment."}
{"STANDARD_NAME":"GSE2405_0H_VS_3H_A_PHAGOCYTOPHILUM_STIM_NEUTROPHIL_DN","SYSTEMATIC_NAME":"M6213","ORGANISM":"Homo sapiens","PMID":"15879137","AUTHORS":"Borjesson DL,Kobayashi SD,Whitney AR,Voyich JM,Argue CM,Deleo FR","GEOID":"GSE2405","EXACT_SOURCE":"GSE2405_3583_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in polymorphonuclear leukocytes (3h): control versus infection by A. phagocytophilum.","DESCRIPTION_FULL":"Polymorphonuclear leukocytes (PMNs) were obtained from healthy individuals in accordance with protocols approved by the Institutional Review Board for Human Subjects at the University of Minnesota and the National Institute of Allergy and Infectious Diseases. PMNs (107) were combined on ice with live S. aureus (108) or with live or heat-killed A. phagocytophilum (bacteria isolated from 5x106 infected HL60 cells for a ratio of 1 infected HL60 cell: 2 PMNs, ~ 5-20 A. phagocytophilum: PMN) in wells of a 12-well tissue culture plate (pre-coated with 20% autologous normal human serum). Unstimulated control assays received either buffer (for S. aureus comparisons) or clarified HL60 lysate (for A. phagocytophilum comparisons). Plates were centrifuged at 350 x g for 8 min at 4oC to synchronize phagocytosis and incubated at 37 deg. C in a CO2 incubator for the indicated times. At the indicated times, tissue culture medium was aspirated from the plate and PMNs were lysed directly with RLT buffer (Qiagen, Valencia, CA). Purification of PMN RNA and subsequent preparation of labeled cRNA target was performed as described in Methods. Labeling of samples, hybridization of cRNA with HU133A oligonucleotide arrays (Affymetrix, Santa Clara, CA), and scanning were performed according to standard Affymetrix protocols ( http://www.affymetrix.com/pdf/expression_manual.pdf ). Experiments were performed in triplicate, using PMNs from three healthy individuals for each treatment."}
{"STANDARD_NAME":"GSE2405_0H_VS_6H_A_PHAGOCYTOPHILUM_STIM_NEUTROPHIL_UP","SYSTEMATIC_NAME":"M6214","ORGANISM":"Homo sapiens","PMID":"15879137","AUTHORS":"Borjesson DL,Kobayashi SD,Whitney AR,Voyich JM,Argue CM,Deleo FR","GEOID":"GSE2405","EXACT_SOURCE":"GSE2405_3584_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in polymorphonuclear leukocytes (6h): control versus infection by A. phagocytophilum.","DESCRIPTION_FULL":"Polymorphonuclear leukocytes (PMNs) were obtained from healthy individuals in accordance with protocols approved by the Institutional Review Board for Human Subjects at the University of Minnesota and the National Institute of Allergy and Infectious Diseases. PMNs (107) were combined on ice with live S. aureus (108) or with live or heat-killed A. phagocytophilum (bacteria isolated from 5x106 infected HL60 cells for a ratio of 1 infected HL60 cell: 2 PMNs, ~ 5-20 A. phagocytophilum: PMN) in wells of a 12-well tissue culture plate (pre-coated with 20% autologous normal human serum). Unstimulated control assays received either buffer (for S. aureus comparisons) or clarified HL60 lysate (for A. phagocytophilum comparisons). Plates were centrifuged at 350 x g for 8 min at 4oC to synchronize phagocytosis and incubated at 37 deg. C in a CO2 incubator for the indicated times. At the indicated times, tissue culture medium was aspirated from the plate and PMNs were lysed directly with RLT buffer (Qiagen, Valencia, CA). Purification of PMN RNA and subsequent preparation of labeled cRNA target was performed as described in Methods. Labeling of samples, hybridization of cRNA with HU133A oligonucleotide arrays (Affymetrix, Santa Clara, CA), and scanning were performed according to standard Affymetrix protocols ( http://www.affymetrix.com/pdf/expression_manual.pdf ). Experiments were performed in triplicate, using PMNs from three healthy individuals for each treatment."}
{"STANDARD_NAME":"GSE2405_0H_VS_6H_A_PHAGOCYTOPHILUM_STIM_NEUTROPHIL_DN","SYSTEMATIC_NAME":"M6215","ORGANISM":"Homo sapiens","PMID":"15879137","AUTHORS":"Borjesson DL,Kobayashi SD,Whitney AR,Voyich JM,Argue CM,Deleo FR","GEOID":"GSE2405","EXACT_SOURCE":"GSE2405_3584_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in polymorphonuclear leukocytes (6h): control versus infection by A. phagocytophilum.","DESCRIPTION_FULL":"Polymorphonuclear leukocytes (PMNs) were obtained from healthy individuals in accordance with protocols approved by the Institutional Review Board for Human Subjects at the University of Minnesota and the National Institute of Allergy and Infectious Diseases. PMNs (107) were combined on ice with live S. aureus (108) or with live or heat-killed A. phagocytophilum (bacteria isolated from 5x106 infected HL60 cells for a ratio of 1 infected HL60 cell: 2 PMNs, ~ 5-20 A. phagocytophilum: PMN) in wells of a 12-well tissue culture plate (pre-coated with 20% autologous normal human serum). Unstimulated control assays received either buffer (for S. aureus comparisons) or clarified HL60 lysate (for A. phagocytophilum comparisons). Plates were centrifuged at 350 x g for 8 min at 4oC to synchronize phagocytosis and incubated at 37 deg. C in a CO2 incubator for the indicated times. At the indicated times, tissue culture medium was aspirated from the plate and PMNs were lysed directly with RLT buffer (Qiagen, Valencia, CA). Purification of PMN RNA and subsequent preparation of labeled cRNA target was performed as described in Methods. Labeling of samples, hybridization of cRNA with HU133A oligonucleotide arrays (Affymetrix, Santa Clara, CA), and scanning were performed according to standard Affymetrix protocols ( http://www.affymetrix.com/pdf/expression_manual.pdf ). Experiments were performed in triplicate, using PMNs from three healthy individuals for each treatment."}
{"STANDARD_NAME":"GSE2405_0H_VS_9H_A_PHAGOCYTOPHILUM_STIM_NEUTROPHIL_UP","SYSTEMATIC_NAME":"M6217","ORGANISM":"Homo sapiens","PMID":"15879137","AUTHORS":"Borjesson DL,Kobayashi SD,Whitney AR,Voyich JM,Argue CM,Deleo FR","GEOID":"GSE2405","EXACT_SOURCE":"GSE2405_3585_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in polymorphonuclear leukocytes (9h): control versus infection by A. phagocytophilum.","DESCRIPTION_FULL":"Polymorphonuclear leukocytes (PMNs) were obtained from healthy individuals in accordance with protocols approved by the Institutional Review Board for Human Subjects at the University of Minnesota and the National Institute of Allergy and Infectious Diseases. PMNs (107) were combined on ice with live S. aureus (108) or with live or heat-killed A. phagocytophilum (bacteria isolated from 5x106 infected HL60 cells for a ratio of 1 infected HL60 cell: 2 PMNs, ~ 5-20 A. phagocytophilum: PMN) in wells of a 12-well tissue culture plate (pre-coated with 20% autologous normal human serum). Unstimulated control assays received either buffer (for S. aureus comparisons) or clarified HL60 lysate (for A. phagocytophilum comparisons). Plates were centrifuged at 350 x g for 8 min at 4oC to synchronize phagocytosis and incubated at 37 deg. C in a CO2 incubator for the indicated times. At the indicated times, tissue culture medium was aspirated from the plate and PMNs were lysed directly with RLT buffer (Qiagen, Valencia, CA). Purification of PMN RNA and subsequent preparation of labeled cRNA target was performed as described in Methods. Labeling of samples, hybridization of cRNA with HU133A oligonucleotide arrays (Affymetrix, Santa Clara, CA), and scanning were performed according to standard Affymetrix protocols ( http://www.affymetrix.com/pdf/expression_manual.pdf ). Experiments were performed in triplicate, using PMNs from three healthy individuals for each treatment."}
{"STANDARD_NAME":"GSE2405_HEAT_KILLED_VS_LIVE_A_PHAGOCYTOPHILUM_STIM_NEUTROPHIL_24H_UP","SYSTEMATIC_NAME":"M6218","ORGANISM":"Homo sapiens","PMID":"15879137","AUTHORS":"Borjesson DL,Kobayashi SD,Whitney AR,Voyich JM,Argue CM,Deleo FR","GEOID":"GSE2405","EXACT_SOURCE":"GSE2405_3589_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in polymorphonuclear leukocytes (24h) infection by A. phagocytophilum: heat killed versus live bacteria.","DESCRIPTION_FULL":"Polymorphonuclear leukocytes (PMNs) were obtained from healthy individuals in accordance with protocols approved by the Institutional Review Board for Human Subjects at the University of Minnesota and the National Institute of Allergy and Infectious Diseases. PMNs (107) were combined on ice with live S. aureus (108) or with live or heat-killed A. phagocytophilum (bacteria isolated from 5x106 infected HL60 cells for a ratio of 1 infected HL60 cell: 2 PMNs, ~ 5-20 A. phagocytophilum: PMN) in wells of a 12-well tissue culture plate (pre-coated with 20% autologous normal human serum). Unstimulated control assays received either buffer (for S. aureus comparisons) or clarified HL60 lysate (for A. phagocytophilum comparisons). Plates were centrifuged at 350 x g for 8 min at 4oC to synchronize phagocytosis and incubated at 37 deg. C in a CO2 incubator for the indicated times. At the indicated times, tissue culture medium was aspirated from the plate and PMNs were lysed directly with RLT buffer (Qiagen, Valencia, CA). Purification of PMN RNA and subsequent preparation of labeled cRNA target was performed as described in Methods. Labeling of samples, hybridization of cRNA with HU133A oligonucleotide arrays (Affymetrix, Santa Clara, CA), and scanning were performed according to standard Affymetrix protocols ( http://www.affymetrix.com/pdf/expression_manual.pdf ). Experiments were performed in triplicate, using PMNs from three healthy individuals for each treatment."}
{"STANDARD_NAME":"GSE2405_HEAT_KILLED_VS_LIVE_A_PHAGOCYTOPHILUM_STIM_NEUTROPHIL_24H_DN","SYSTEMATIC_NAME":"M6219","ORGANISM":"Homo sapiens","PMID":"15879137","AUTHORS":"Borjesson DL,Kobayashi SD,Whitney AR,Voyich JM,Argue CM,Deleo FR","GEOID":"GSE2405","EXACT_SOURCE":"GSE2405_3589_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in polymorphonuclear leukocytes (24h) infection by A. phagocytophilum: heat killed versus live bacteria.","DESCRIPTION_FULL":"Polymorphonuclear leukocytes (PMNs) were obtained from healthy individuals in accordance with protocols approved by the Institutional Review Board for Human Subjects at the University of Minnesota and the National Institute of Allergy and Infectious Diseases. PMNs (107) were combined on ice with live S. aureus (108) or with live or heat-killed A. phagocytophilum (bacteria isolated from 5x106 infected HL60 cells for a ratio of 1 infected HL60 cell: 2 PMNs, ~ 5-20 A. phagocytophilum: PMN) in wells of a 12-well tissue culture plate (pre-coated with 20% autologous normal human serum). Unstimulated control assays received either buffer (for S. aureus comparisons) or clarified HL60 lysate (for A. phagocytophilum comparisons). Plates were centrifuged at 350 x g for 8 min at 4oC to synchronize phagocytosis and incubated at 37 deg. C in a CO2 incubator for the indicated times. At the indicated times, tissue culture medium was aspirated from the plate and PMNs were lysed directly with RLT buffer (Qiagen, Valencia, CA). Purification of PMN RNA and subsequent preparation of labeled cRNA target was performed as described in Methods. Labeling of samples, hybridization of cRNA with HU133A oligonucleotide arrays (Affymetrix, Santa Clara, CA), and scanning were performed according to standard Affymetrix protocols ( http://www.affymetrix.com/pdf/expression_manual.pdf ). Experiments were performed in triplicate, using PMNs from three healthy individuals for each treatment."}
{"STANDARD_NAME":"GSE1566_WT_VS_EZH2_KO_LN_TCELL_UP","SYSTEMATIC_NAME":"M6221","ORGANISM":"Mus musculus","PMID":"15882624","AUTHORS":"Su IH,Dobenecker MW,Dickinson E,Oser M,Basavaraj A,Marqueron R,Viale A,Reinberg D,Wülfing C,Tarakhovsky A","GEOID":"GSE1566","EXACT_SOURCE":"GSE1566_2256_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in lymph node T cells: wildtype versus EZH2 [GeneID=2146] knockout.","DESCRIPTION_FULL":"Lymph node T cells isolated from Ezh2fl/fl or Ezh2 deficient mice"}
{"STANDARD_NAME":"GSE1566_WT_VS_EZH2_KO_LN_TCELL_DN","SYSTEMATIC_NAME":"M6224","ORGANISM":"Mus musculus","PMID":"15882624","AUTHORS":"Su IH,Dobenecker MW,Dickinson E,Oser M,Basavaraj A,Marqueron R,Viale A,Reinberg D,Wülfing C,Tarakhovsky A","GEOID":"GSE1566","EXACT_SOURCE":"GSE1566_2256_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in lymph node T cells: wildtype versus EZH2 [GeneID=2146] knockout.","DESCRIPTION_FULL":"Lymph node T cells isolated from Ezh2fl/fl or Ezh2 deficient mice"}
{"STANDARD_NAME":"GSE22601_DOUBLE_NEGATIVE_VS_DOUBLE_POSITIVE_THYMOCYTE_UP","SYSTEMATIC_NAME":"M6226","ORGANISM":"Homo sapiens","PMID":"15928199","AUTHORS":"Dik WA,Pike-Overzet K,Weerkamp F,Ridder de D,Haas de EF,Baert MR,Spek der van P,Koster EE,Reinders MJ,Dongen van JJ,Langerak AW,Staal FJ","GEOID":"GSE22601","EXACT_SOURCE":"GSE22601_3410_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in thymocytes: double negative versus double positive.","DESCRIPTION_FULL":"T cells develop from progenitors that migrate from the bone marrow into the thymus. Thymocytes are subdivided roughly as being double negative (DN), double positive (DP), or single positive (SP), based on the expression of the CD4 and CD8 coreceptors. The DN stage is heterogeneous and can be subdivided into four distinct subsets in mice based on the expression of CD44 and CD25. In human, three distinct DN stages can be recognized: a CD34+CD38−CD1a− stage that represents the most immature thymic subset and the consecutive CD34+CD38+CD1a− and CD34+CD38+CD1a+ stages. Human DN thymocytes mature via an immature single positive (ISP CD4+) and a DP stage into CD4+ or CD8+ SP T cells that express functional T cell receptors (TCR) and that exit the thymus. In this study, gene expression was measured in each of these nine stages."}
{"STANDARD_NAME":"GSE22601_DOUBLE_POSITIVE_VS_CD4_SINGLE_POSITIVE_THYMOCYTE_UP","SYSTEMATIC_NAME":"M6227","ORGANISM":"Homo sapiens","PMID":"15928199","AUTHORS":"Dik WA,Pike-Overzet K,Weerkamp F,Ridder de D,Haas de EF,Baert MR,Spek der van P,Koster EE,Reinders MJ,Dongen van JJ,Langerak AW,Staal FJ","GEOID":"GSE22601","EXACT_SOURCE":"GSE22601_3416_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in thymocytes: double positive versus CD4 [GeneID=920] single positive.","DESCRIPTION_FULL":"T cells develop from progenitors that migrate from the bone marrow into the thymus. Thymocytes are subdivided roughly as being double negative (DN), double positive (DP), or single positive (SP), based on the expression of the CD4 and CD8 coreceptors. The DN stage is heterogeneous and can be subdivided into four distinct subsets in mice based on the expression of CD44 and CD25. In human, three distinct DN stages can be recognized: a CD34+CD38−CD1a− stage that represents the most immature thymic subset and the consecutive CD34+CD38+CD1a− and CD34+CD38+CD1a+ stages. Human DN thymocytes mature via an immature single positive (ISP CD4+) and a DP stage into CD4+ or CD8+ SP T cells that express functional T cell receptors (TCR) and that exit the thymus. In this study, gene expression was measured in each of these nine stages."}
{"STANDARD_NAME":"GSE22601_DOUBLE_NEGATIVE_VS_IMMATURE_CD4_SP_THYMOCYTE_DN","SYSTEMATIC_NAME":"M6228","ORGANISM":"Homo sapiens","PMID":"15928199","AUTHORS":"Dik WA,Pike-Overzet K,Weerkamp F,Ridder de D,Haas de EF,Baert MR,Spek der van P,Koster EE,Reinders MJ,Dongen van JJ,Langerak AW,Staal FJ","GEOID":"GSE22601","EXACT_SOURCE":"GSE22601_3409_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in double negative thymocyte versus immature CD4 [GeneID=920] single positive cells.","DESCRIPTION_FULL":"T cells develop from progenitors that migrate from the bone marrow into the thymus. Thymocytes are subdivided roughly as being double negative (DN), double positive (DP), or single positive (SP), based on the expression of the CD4 and CD8 coreceptors. The DN stage is heterogeneous and can be subdivided into four distinct subsets in mice based on the expression of CD44 and CD25. In human, three distinct DN stages can be recognized: a CD34+CD38−CD1a− stage that represents the most immature thymic subset and the consecutive CD34+CD38+CD1a− and CD34+CD38+CD1a+ stages. Human DN thymocytes mature via an immature single positive (ISP CD4+) and a DP stage into CD4+ or CD8+ SP T cells that express functional T cell receptors (TCR) and that exit the thymus. In this study, gene expression was measured in each of these nine stages."}
{"STANDARD_NAME":"GSE22601_DOUBLE_NEGATIVE_VS_CD8_SINGLE_POSITIVE_THYMOCYTE_DN","SYSTEMATIC_NAME":"M6230","ORGANISM":"Homo sapiens","PMID":"15928199","AUTHORS":"Dik WA,Pike-Overzet K,Weerkamp F,Ridder de D,Haas de EF,Baert MR,Spek der van P,Koster EE,Reinders MJ,Dongen van JJ,Langerak AW,Staal FJ","GEOID":"GSE22601","EXACT_SOURCE":"GSE22601_3412_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in thymocytes: double negative versus CD8 single positive.","DESCRIPTION_FULL":"T cells develop from progenitors that migrate from the bone marrow into the thymus. Thymocytes are subdivided roughly as being double negative (DN), double positive (DP), or single positive (SP), based on the expression of the CD4 and CD8 coreceptors. The DN stage is heterogeneous and can be subdivided into four distinct subsets in mice based on the expression of CD44 and CD25. In human, three distinct DN stages can be recognized: a CD34+CD38−CD1a− stage that represents the most immature thymic subset and the consecutive CD34+CD38+CD1a− and CD34+CD38+CD1a+ stages. Human DN thymocytes mature via an immature single positive (ISP CD4+) and a DP stage into CD4+ or CD8+ SP T cells that express functional T cell receptors (TCR) and that exit the thymus. In this study, gene expression was measured in each of these nine stages."}
{"STANDARD_NAME":"GSE22601_IMMATURE_CD4_SINGLE_POSITIVE_VS_DOUBLE_POSITIVE_THYMOCYTE_UP","SYSTEMATIC_NAME":"M6232","ORGANISM":"Homo sapiens","PMID":"15928199","AUTHORS":"Dik WA,Pike-Overzet K,Weerkamp F,Ridder de D,Haas de EF,Baert MR,Spek der van P,Koster EE,Reinders MJ,Dongen van JJ,Langerak AW,Staal FJ","GEOID":"GSE22601","EXACT_SOURCE":"GSE22601_3413_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in immature CD4 [GeneID=920] single positive cells versus double positive thymocytes.","DESCRIPTION_FULL":"T cells develop from progenitors that migrate from the bone marrow into the thymus. Thymocytes are subdivided roughly as being double negative (DN), double positive (DP), or single positive (SP), based on the expression of the CD4 and CD8 coreceptors. The DN stage is heterogeneous and can be subdivided into four distinct subsets in mice based on the expression of CD44 and CD25. In human, three distinct DN stages can be recognized: a CD34+CD38−CD1a− stage that represents the most immature thymic subset and the consecutive CD34+CD38+CD1a− and CD34+CD38+CD1a+ stages. Human DN thymocytes mature via an immature single positive (ISP CD4+) and a DP stage into CD4+ or CD8+ SP T cells that express functional T cell receptors (TCR) and that exit the thymus. In this study, gene expression was measured in each of these nine stages."}
{"STANDARD_NAME":"GSE22601_DOUBLE_NEGATIVE_VS_IMMATURE_CD4_SP_THYMOCYTE_UP","SYSTEMATIC_NAME":"M6234","ORGANISM":"Homo sapiens","PMID":"15928199","AUTHORS":"Dik WA,Pike-Overzet K,Weerkamp F,Ridder de D,Haas de EF,Baert MR,Spek der van P,Koster EE,Reinders MJ,Dongen van JJ,Langerak AW,Staal FJ","GEOID":"GSE22601","EXACT_SOURCE":"GSE22601_3409_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in double negative thymocyte versus immature CD4 [GeneID=920] single positive cells.","DESCRIPTION_FULL":"T cells develop from progenitors that migrate from the bone marrow into the thymus. Thymocytes are subdivided roughly as being double negative (DN), double positive (DP), or single positive (SP), based on the expression of the CD4 and CD8 coreceptors. The DN stage is heterogeneous and can be subdivided into four distinct subsets in mice based on the expression of CD44 and CD25. In human, three distinct DN stages can be recognized: a CD34+CD38−CD1a− stage that represents the most immature thymic subset and the consecutive CD34+CD38+CD1a− and CD34+CD38+CD1a+ stages. Human DN thymocytes mature via an immature single positive (ISP CD4+) and a DP stage into CD4+ or CD8+ SP T cells that express functional T cell receptors (TCR) and that exit the thymus. In this study, gene expression was measured in each of these nine stages."}
{"STANDARD_NAME":"GSE22601_DOUBLE_NEGATIVE_VS_CD8_SINGLE_POSITIVE_THYMOCYTE_UP","SYSTEMATIC_NAME":"M6235","ORGANISM":"Homo sapiens","PMID":"15928199","AUTHORS":"Dik WA,Pike-Overzet K,Weerkamp F,Ridder de D,Haas de EF,Baert MR,Spek der van P,Koster EE,Reinders MJ,Dongen van JJ,Langerak AW,Staal FJ","GEOID":"GSE22601","EXACT_SOURCE":"GSE22601_3412_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in thymocytes: double negative versus CD8 single positive.","DESCRIPTION_FULL":"T cells develop from progenitors that migrate from the bone marrow into the thymus. Thymocytes are subdivided roughly as being double negative (DN), double positive (DP), or single positive (SP), based on the expression of the CD4 and CD8 coreceptors. The DN stage is heterogeneous and can be subdivided into four distinct subsets in mice based on the expression of CD44 and CD25. In human, three distinct DN stages can be recognized: a CD34+CD38−CD1a− stage that represents the most immature thymic subset and the consecutive CD34+CD38+CD1a− and CD34+CD38+CD1a+ stages. Human DN thymocytes mature via an immature single positive (ISP CD4+) and a DP stage into CD4+ or CD8+ SP T cells that express functional T cell receptors (TCR) and that exit the thymus. In this study, gene expression was measured in each of these nine stages."}
{"STANDARD_NAME":"GSE22601_IMMATURE_CD4_SINGLE_POSITIVE_VS_CD4_SINGLE_POSITIVE_THYMOCYTE_DN","SYSTEMATIC_NAME":"M6237","ORGANISM":"Homo sapiens","PMID":"15928199","AUTHORS":"Dik WA,Pike-Overzet K,Weerkamp F,Ridder de D,Haas de EF,Baert MR,Spek der van P,Koster EE,Reinders MJ,Dongen van JJ,Langerak AW,Staal FJ","GEOID":"GSE22601","EXACT_SOURCE":"GSE22601_3414_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] single positive cells: immature versus thymocytes.","DESCRIPTION_FULL":"T cells develop from progenitors that migrate from the bone marrow into the thymus. Thymocytes are subdivided roughly as being double negative (DN), double positive (DP), or single positive (SP), based on the expression of the CD4 and CD8 coreceptors. The DN stage is heterogeneous and can be subdivided into four distinct subsets in mice based on the expression of CD44 and CD25. In human, three distinct DN stages can be recognized: a CD34+CD38−CD1a− stage that represents the most immature thymic subset and the consecutive CD34+CD38+CD1a− and CD34+CD38+CD1a+ stages. Human DN thymocytes mature via an immature single positive (ISP CD4+) and a DP stage into CD4+ or CD8+ SP T cells that express functional T cell receptors (TCR) and that exit the thymus. In this study, gene expression was measured in each of these nine stages."}
{"STANDARD_NAME":"GSE22601_IMMATURE_CD4_SINGLE_POSITIVE_VS_CD8_SINGLE_POSITIVE_THYMOCYTE_UP","SYSTEMATIC_NAME":"M6238","ORGANISM":"Homo sapiens","PMID":"15928199","AUTHORS":"Dik WA,Pike-Overzet K,Weerkamp F,Ridder de D,Haas de EF,Baert MR,Spek der van P,Koster EE,Reinders MJ,Dongen van JJ,Langerak AW,Staal FJ","GEOID":"GSE22601","EXACT_SOURCE":"GSE22601_3415_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in single positive cells: immature CD4 [GeneID=920] versus CD8 thymocytes.","DESCRIPTION_FULL":"T cells develop from progenitors that migrate from the bone marrow into the thymus. Thymocytes are subdivided roughly as being double negative (DN), double positive (DP), or single positive (SP), based on the expression of the CD4 and CD8 coreceptors. The DN stage is heterogeneous and can be subdivided into four distinct subsets in mice based on the expression of CD44 and CD25. In human, three distinct DN stages can be recognized: a CD34+CD38−CD1a− stage that represents the most immature thymic subset and the consecutive CD34+CD38+CD1a− and CD34+CD38+CD1a+ stages. Human DN thymocytes mature via an immature single positive (ISP CD4+) and a DP stage into CD4+ or CD8+ SP T cells that express functional T cell receptors (TCR) and that exit the thymus. In this study, gene expression was measured in each of these nine stages."}
{"STANDARD_NAME":"GSE22601_IMMATURE_CD4_SINGLE_POSITIVE_VS_CD8_SINGLE_POSITIVE_THYMOCYTE_DN","SYSTEMATIC_NAME":"M6240","ORGANISM":"Homo sapiens","PMID":"15928199","AUTHORS":"Dik WA,Pike-Overzet K,Weerkamp F,Ridder de D,Haas de EF,Baert MR,Spek der van P,Koster EE,Reinders MJ,Dongen van JJ,Langerak AW,Staal FJ","GEOID":"GSE22601","EXACT_SOURCE":"GSE22601_3415_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in single positive cells: immature CD4 [GeneID=920] versus CD8 thymocytes.","DESCRIPTION_FULL":"T cells develop from progenitors that migrate from the bone marrow into the thymus. Thymocytes are subdivided roughly as being double negative (DN), double positive (DP), or single positive (SP), based on the expression of the CD4 and CD8 coreceptors. The DN stage is heterogeneous and can be subdivided into four distinct subsets in mice based on the expression of CD44 and CD25. In human, three distinct DN stages can be recognized: a CD34+CD38−CD1a− stage that represents the most immature thymic subset and the consecutive CD34+CD38+CD1a− and CD34+CD38+CD1a+ stages. Human DN thymocytes mature via an immature single positive (ISP CD4+) and a DP stage into CD4+ or CD8+ SP T cells that express functional T cell receptors (TCR) and that exit the thymus. In this study, gene expression was measured in each of these nine stages."}
{"STANDARD_NAME":"GSE22601_DOUBLE_NEGATIVE_VS_CD4_SINGLE_POSITIVE_THYMOCYTE_UP","SYSTEMATIC_NAME":"M6242","ORGANISM":"Homo sapiens","PMID":"15928199","AUTHORS":"Dik WA,Pike-Overzet K,Weerkamp F,Ridder de D,Haas de EF,Baert MR,Spek der van P,Koster EE,Reinders MJ,Dongen van JJ,Langerak AW,Staal FJ","GEOID":"GSE22601","EXACT_SOURCE":"GSE22601_3411_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in thymocytes: double negative versus CD4 [GeneID=920] single positive.","DESCRIPTION_FULL":"T cells develop from progenitors that migrate from the bone marrow into the thymus. Thymocytes are subdivided roughly as being double negative (DN), double positive (DP), or single positive (SP), based on the expression of the CD4 and CD8 coreceptors. The DN stage is heterogeneous and can be subdivided into four distinct subsets in mice based on the expression of CD44 and CD25. In human, three distinct DN stages can be recognized: a CD34+CD38−CD1a− stage that represents the most immature thymic subset and the consecutive CD34+CD38+CD1a− and CD34+CD38+CD1a+ stages. Human DN thymocytes mature via an immature single positive (ISP CD4+) and a DP stage into CD4+ or CD8+ SP T cells that express functional T cell receptors (TCR) and that exit the thymus. In this study, gene expression was measured in each of these nine stages."}
{"STANDARD_NAME":"GSE22601_DOUBLE_NEGATIVE_VS_CD4_SINGLE_POSITIVE_THYMOCYTE_DN","SYSTEMATIC_NAME":"M6243","ORGANISM":"Homo sapiens","PMID":"15928199","AUTHORS":"Dik WA,Pike-Overzet K,Weerkamp F,Ridder de D,Haas de EF,Baert MR,Spek der van P,Koster EE,Reinders MJ,Dongen van JJ,Langerak AW,Staal FJ","GEOID":"GSE22601","EXACT_SOURCE":"GSE22601_3411_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in thymocytes: double negative versus CD4 [GeneID=920] single positive.","DESCRIPTION_FULL":"T cells develop from progenitors that migrate from the bone marrow into the thymus. Thymocytes are subdivided roughly as being double negative (DN), double positive (DP), or single positive (SP), based on the expression of the CD4 and CD8 coreceptors. The DN stage is heterogeneous and can be subdivided into four distinct subsets in mice based on the expression of CD44 and CD25. In human, three distinct DN stages can be recognized: a CD34+CD38−CD1a− stage that represents the most immature thymic subset and the consecutive CD34+CD38+CD1a− and CD34+CD38+CD1a+ stages. Human DN thymocytes mature via an immature single positive (ISP CD4+) and a DP stage into CD4+ or CD8+ SP T cells that express functional T cell receptors (TCR) and that exit the thymus. In this study, gene expression was measured in each of these nine stages."}
{"STANDARD_NAME":"GSE22601_CD4_SINGLE_POSITIVE_VS_CD8_SINGLE_POSITIVE_THYMOCYTE_UP","SYSTEMATIC_NAME":"M6245","ORGANISM":"Homo sapiens","PMID":"15928199","AUTHORS":"Dik WA,Pike-Overzet K,Weerkamp F,Ridder de D,Haas de EF,Baert MR,Spek der van P,Koster EE,Reinders MJ,Dongen van JJ,Langerak AW,Staal FJ","GEOID":"GSE22601","EXACT_SOURCE":"GSE22601_3418_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in single positive thymocytes: CD4 [GeneID=920] versus CD8.","DESCRIPTION_FULL":"T cells develop from progenitors that migrate from the bone marrow into the thymus. Thymocytes are subdivided roughly as being double negative (DN), double positive (DP), or single positive (SP), based on the expression of the CD4 and CD8 coreceptors. The DN stage is heterogeneous and can be subdivided into four distinct subsets in mice based on the expression of CD44 and CD25. In human, three distinct DN stages can be recognized: a CD34+CD38−CD1a− stage that represents the most immature thymic subset and the consecutive CD34+CD38+CD1a− and CD34+CD38+CD1a+ stages. Human DN thymocytes mature via an immature single positive (ISP CD4+) and a DP stage into CD4+ or CD8+ SP T cells that express functional T cell receptors (TCR) and that exit the thymus. In this study, gene expression was measured in each of these nine stages."}
{"STANDARD_NAME":"GSE22601_DOUBLE_NEGATIVE_VS_DOUBLE_POSITIVE_THYMOCYTE_DN","SYSTEMATIC_NAME":"M6246","ORGANISM":"Homo sapiens","PMID":"15928199","AUTHORS":"Dik WA,Pike-Overzet K,Weerkamp F,Ridder de D,Haas de EF,Baert MR,Spek der van P,Koster EE,Reinders MJ,Dongen van JJ,Langerak AW,Staal FJ","GEOID":"GSE22601","EXACT_SOURCE":"GSE22601_3410_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in thymocytes: double negative versus double positive.","DESCRIPTION_FULL":"T cells develop from progenitors that migrate from the bone marrow into the thymus. Thymocytes are subdivided roughly as being double negative (DN), double positive (DP), or single positive (SP), based on the expression of the CD4 and CD8 coreceptors. The DN stage is heterogeneous and can be subdivided into four distinct subsets in mice based on the expression of CD44 and CD25. In human, three distinct DN stages can be recognized: a CD34+CD38−CD1a− stage that represents the most immature thymic subset and the consecutive CD34+CD38+CD1a− and CD34+CD38+CD1a+ stages. Human DN thymocytes mature via an immature single positive (ISP CD4+) and a DP stage into CD4+ or CD8+ SP T cells that express functional T cell receptors (TCR) and that exit the thymus. In this study, gene expression was measured in each of these nine stages."}
{"STANDARD_NAME":"GSE22601_IMMATURE_CD4_SINGLE_POSITIVE_VS_DOUBLE_POSITIVE_THYMOCYTE_DN","SYSTEMATIC_NAME":"M6247","ORGANISM":"Homo sapiens","PMID":"15928199","AUTHORS":"Dik WA,Pike-Overzet K,Weerkamp F,Ridder de D,Haas de EF,Baert MR,Spek der van P,Koster EE,Reinders MJ,Dongen van JJ,Langerak AW,Staal FJ","GEOID":"GSE22601","EXACT_SOURCE":"GSE22601_3413_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in immature CD4 [GeneID=920] single positive cells versus double positive thymocytes.","DESCRIPTION_FULL":"T cells develop from progenitors that migrate from the bone marrow into the thymus. Thymocytes are subdivided roughly as being double negative (DN), double positive (DP), or single positive (SP), based on the expression of the CD4 and CD8 coreceptors. The DN stage is heterogeneous and can be subdivided into four distinct subsets in mice based on the expression of CD44 and CD25. In human, three distinct DN stages can be recognized: a CD34+CD38−CD1a− stage that represents the most immature thymic subset and the consecutive CD34+CD38+CD1a− and CD34+CD38+CD1a+ stages. Human DN thymocytes mature via an immature single positive (ISP CD4+) and a DP stage into CD4+ or CD8+ SP T cells that express functional T cell receptors (TCR) and that exit the thymus. In this study, gene expression was measured in each of these nine stages."}
{"STANDARD_NAME":"GSE22601_IMMATURE_CD4_SINGLE_POSITIVE_VS_CD4_SINGLE_POSITIVE_THYMOCYTE_UP","SYSTEMATIC_NAME":"M6248","ORGANISM":"Homo sapiens","PMID":"15928199","AUTHORS":"Dik WA,Pike-Overzet K,Weerkamp F,Ridder de D,Haas de EF,Baert MR,Spek der van P,Koster EE,Reinders MJ,Dongen van JJ,Langerak AW,Staal FJ","GEOID":"GSE22601","EXACT_SOURCE":"GSE22601_3414_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] single positive cells: immature versus thymocytes.","DESCRIPTION_FULL":"T cells develop from progenitors that migrate from the bone marrow into the thymus. Thymocytes are subdivided roughly as being double negative (DN), double positive (DP), or single positive (SP), based on the expression of the CD4 and CD8 coreceptors. The DN stage is heterogeneous and can be subdivided into four distinct subsets in mice based on the expression of CD44 and CD25. In human, three distinct DN stages can be recognized: a CD34+CD38−CD1a− stage that represents the most immature thymic subset and the consecutive CD34+CD38+CD1a− and CD34+CD38+CD1a+ stages. Human DN thymocytes mature via an immature single positive (ISP CD4+) and a DP stage into CD4+ or CD8+ SP T cells that express functional T cell receptors (TCR) and that exit the thymus. In this study, gene expression was measured in each of these nine stages."}
{"STANDARD_NAME":"GSE22601_DOUBLE_POSITIVE_VS_CD8_SINGLE_POSITIVE_THYMOCYTE_DN","SYSTEMATIC_NAME":"M6249","ORGANISM":"Homo sapiens","PMID":"15928199","AUTHORS":"Dik WA,Pike-Overzet K,Weerkamp F,Ridder de D,Haas de EF,Baert MR,Spek der van P,Koster EE,Reinders MJ,Dongen van JJ,Langerak AW,Staal FJ","GEOID":"GSE22601","EXACT_SOURCE":"GSE22601_3417_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in thymocytes: double positive versus CD8 single positive.","DESCRIPTION_FULL":"T cells develop from progenitors that migrate from the bone marrow into the thymus. Thymocytes are subdivided roughly as being double negative (DN), double positive (DP), or single positive (SP), based on the expression of the CD4 and CD8 coreceptors. The DN stage is heterogeneous and can be subdivided into four distinct subsets in mice based on the expression of CD44 and CD25. In human, three distinct DN stages can be recognized: a CD34+CD38−CD1a− stage that represents the most immature thymic subset and the consecutive CD34+CD38+CD1a− and CD34+CD38+CD1a+ stages. Human DN thymocytes mature via an immature single positive (ISP CD4+) and a DP stage into CD4+ or CD8+ SP T cells that express functional T cell receptors (TCR) and that exit the thymus. In this study, gene expression was measured in each of these nine stages."}
{"STANDARD_NAME":"GSE22601_CD4_SINGLE_POSITIVE_VS_CD8_SINGLE_POSITIVE_THYMOCYTE_DN","SYSTEMATIC_NAME":"M6251","ORGANISM":"Homo sapiens","PMID":"15928199","AUTHORS":"Dik WA,Pike-Overzet K,Weerkamp F,Ridder de D,Haas de EF,Baert MR,Spek der van P,Koster EE,Reinders MJ,Dongen van JJ,Langerak AW,Staal FJ","GEOID":"GSE22601","EXACT_SOURCE":"GSE22601_3418_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in single positive thymocytes: CD4 [GeneID=920] versus CD8.","DESCRIPTION_FULL":"T cells develop from progenitors that migrate from the bone marrow into the thymus. Thymocytes are subdivided roughly as being double negative (DN), double positive (DP), or single positive (SP), based on the expression of the CD4 and CD8 coreceptors. The DN stage is heterogeneous and can be subdivided into four distinct subsets in mice based on the expression of CD44 and CD25. In human, three distinct DN stages can be recognized: a CD34+CD38−CD1a− stage that represents the most immature thymic subset and the consecutive CD34+CD38+CD1a− and CD34+CD38+CD1a+ stages. Human DN thymocytes mature via an immature single positive (ISP CD4+) and a DP stage into CD4+ or CD8+ SP T cells that express functional T cell receptors (TCR) and that exit the thymus. In this study, gene expression was measured in each of these nine stages."}
{"STANDARD_NAME":"GSE22601_DOUBLE_POSITIVE_VS_CD4_SINGLE_POSITIVE_THYMOCYTE_DN","SYSTEMATIC_NAME":"M6252","ORGANISM":"Homo sapiens","PMID":"15928199","AUTHORS":"Dik WA,Pike-Overzet K,Weerkamp F,Ridder de D,Haas de EF,Baert MR,Spek der van P,Koster EE,Reinders MJ,Dongen van JJ,Langerak AW,Staal FJ","GEOID":"GSE22601","EXACT_SOURCE":"GSE22601_3416_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in thymocytes: double positive versus CD4 [GeneID=920] single positive.","DESCRIPTION_FULL":"T cells develop from progenitors that migrate from the bone marrow into the thymus. Thymocytes are subdivided roughly as being double negative (DN), double positive (DP), or single positive (SP), based on the expression of the CD4 and CD8 coreceptors. The DN stage is heterogeneous and can be subdivided into four distinct subsets in mice based on the expression of CD44 and CD25. In human, three distinct DN stages can be recognized: a CD34+CD38−CD1a− stage that represents the most immature thymic subset and the consecutive CD34+CD38+CD1a− and CD34+CD38+CD1a+ stages. Human DN thymocytes mature via an immature single positive (ISP CD4+) and a DP stage into CD4+ or CD8+ SP T cells that express functional T cell receptors (TCR) and that exit the thymus. In this study, gene expression was measured in each of these nine stages."}
{"STANDARD_NAME":"GSE22601_DOUBLE_POSITIVE_VS_CD8_SINGLE_POSITIVE_THYMOCYTE_UP","SYSTEMATIC_NAME":"M6253","ORGANISM":"Homo sapiens","PMID":"15928199","AUTHORS":"Dik WA,Pike-Overzet K,Weerkamp F,Ridder de D,Haas de EF,Baert MR,Spek der van P,Koster EE,Reinders MJ,Dongen van JJ,Langerak AW,Staal FJ","GEOID":"GSE22601","EXACT_SOURCE":"GSE22601_3417_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in thymocytes: double positive versus CD8 single positive.","DESCRIPTION_FULL":"T cells develop from progenitors that migrate from the bone marrow into the thymus. Thymocytes are subdivided roughly as being double negative (DN), double positive (DP), or single positive (SP), based on the expression of the CD4 and CD8 coreceptors. The DN stage is heterogeneous and can be subdivided into four distinct subsets in mice based on the expression of CD44 and CD25. In human, three distinct DN stages can be recognized: a CD34+CD38−CD1a− stage that represents the most immature thymic subset and the consecutive CD34+CD38+CD1a− and CD34+CD38+CD1a+ stages. Human DN thymocytes mature via an immature single positive (ISP CD4+) and a DP stage into CD4+ or CD8+ SP T cells that express functional T cell receptors (TCR) and that exit the thymus. In this study, gene expression was measured in each of these nine stages."}
{"STANDARD_NAME":"GSE8835_CD4_VS_CD8_TCELL_UP","SYSTEMATIC_NAME":"M6254","ORGANISM":"Homo sapiens","PMID":"15965501","AUTHORS":"Görgün G,Holderried TA,Zahrieh D,Neuberg D,Gribben JG","GEOID":"GSE8835","EXACT_SOURCE":"GSE8835_3369_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in T cells: CD4 [GeneID=920] versus CD8.","DESCRIPTION_FULL":"To examine the impact of tumors on the immune system, we compared global gene expression profiles of peripheral blood T cells from previously untreated patients with B cell chronic lymphocytic leukemia (CLL) with those from age-matched healthy donors. Although the cells analyzed were not part of the malignant clone, analysis revealed differentially expressed genes, mainly involved in cell differentiation in CD4 cells and defects in cytoskeleton formation, vesicle trafficking, and cytotoxicity in CD8 cells of the CLL patients. In coculture experiments using CLL cells and T cells from healthy allogeneic donors, similar defects developed in both CD4 and CD8 cells. These changes were induced only with direct contact and were not cytokine mediated. Identification of the specific pathways perturbed in the T cells of cancer-bearing patients will allow us to assess steps to repair these defects, which will likely be required to enhance antitumor immunity. Gene expression profiling was performed to determine whether CLL cells induce changes in T cells in patients with CLL."}
{"STANDARD_NAME":"GSE8835_CD4_VS_CD8_TCELL_DN","SYSTEMATIC_NAME":"M6255","ORGANISM":"Homo sapiens","PMID":"15965501","AUTHORS":"Görgün G,Holderried TA,Zahrieh D,Neuberg D,Gribben JG","GEOID":"GSE8835","EXACT_SOURCE":"GSE8835_3369_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in T cells: CD4 [GeneID=920] versus CD8.","DESCRIPTION_FULL":"To examine the impact of tumors on the immune system, we compared global gene expression profiles of peripheral blood T cells from previously untreated patients with B cell chronic lymphocytic leukemia (CLL) with those from age-matched healthy donors. Although the cells analyzed were not part of the malignant clone, analysis revealed differentially expressed genes, mainly involved in cell differentiation in CD4 cells and defects in cytoskeleton formation, vesicle trafficking, and cytotoxicity in CD8 cells of the CLL patients. In coculture experiments using CLL cells and T cells from healthy allogeneic donors, similar defects developed in both CD4 and CD8 cells. These changes were induced only with direct contact and were not cytokine mediated. Identification of the specific pathways perturbed in the T cells of cancer-bearing patients will allow us to assess steps to repair these defects, which will likely be required to enhance antitumor immunity. Gene expression profiling was performed to determine whether CLL cells induce changes in T cells in patients with CLL."}
{"STANDARD_NAME":"GSE8835_CD4_VS_CD8_TCELL_CLL_PATIENT_UP","SYSTEMATIC_NAME":"M6256","ORGANISM":"Homo sapiens","PMID":"15965501","AUTHORS":"Görgün G,Holderried TA,Zahrieh D,Neuberg D,Gribben JG","GEOID":"GSE8835","EXACT_SOURCE":"GSE8835_3370_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in T cells from CLL (chronic lymphocytic leukemia) patients: CD4 [GeneID=920] versus CD8.","DESCRIPTION_FULL":"To examine the impact of tumors on the immune system, we compared global gene expression profiles of peripheral blood T cells from previously untreated patients with B cell chronic lymphocytic leukemia (CLL) with those from age-matched healthy donors. Although the cells analyzed were not part of the malignant clone, analysis revealed differentially expressed genes, mainly involved in cell differentiation in CD4 cells and defects in cytoskeleton formation, vesicle trafficking, and cytotoxicity in CD8 cells of the CLL patients. In coculture experiments using CLL cells and T cells from healthy allogeneic donors, similar defects developed in both CD4 and CD8 cells. These changes were induced only with direct contact and were not cytokine mediated. Identification of the specific pathways perturbed in the T cells of cancer-bearing patients will allow us to assess steps to repair these defects, which will likely be required to enhance antitumor immunity. Gene expression profiling was performed to determine whether CLL cells induce changes in T cells in patients with CLL."}
{"STANDARD_NAME":"GSE8835_CD4_VS_CD8_TCELL_CLL_PATIENT_DN","SYSTEMATIC_NAME":"M6258","ORGANISM":"Homo sapiens","PMID":"15965501","AUTHORS":"Görgün G,Holderried TA,Zahrieh D,Neuberg D,Gribben JG","GEOID":"GSE8835","EXACT_SOURCE":"GSE8835_3370_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in T cells from CLL (chronic lymphocytic leukemia) patients: CD4 [GeneID=920] versus CD8.","DESCRIPTION_FULL":"To examine the impact of tumors on the immune system, we compared global gene expression profiles of peripheral blood T cells from previously untreated patients with B cell chronic lymphocytic leukemia (CLL) with those from age-matched healthy donors. Although the cells analyzed were not part of the malignant clone, analysis revealed differentially expressed genes, mainly involved in cell differentiation in CD4 cells and defects in cytoskeleton formation, vesicle trafficking, and cytotoxicity in CD8 cells of the CLL patients. In coculture experiments using CLL cells and T cells from healthy allogeneic donors, similar defects developed in both CD4 and CD8 cells. These changes were induced only with direct contact and were not cytokine mediated. Identification of the specific pathways perturbed in the T cells of cancer-bearing patients will allow us to assess steps to repair these defects, which will likely be required to enhance antitumor immunity. Gene expression profiling was performed to determine whether CLL cells induce changes in T cells in patients with CLL."}
{"STANDARD_NAME":"GSE8835_HEALTHY_VS_CLL_CD4_TCELL_UP","SYSTEMATIC_NAME":"M6260","ORGANISM":"Homo sapiens","PMID":"15965501","AUTHORS":"Görgün G,Holderried TA,Zahrieh D,Neuberg D,Gribben JG","GEOID":"GSE8835","EXACT_SOURCE":"GSE8835_3371_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells: healthy versus CLL (chronic lymphocytic leukemia)l.","DESCRIPTION_FULL":"To examine the impact of tumors on the immune system, we compared global gene expression profiles of peripheral blood T cells from previously untreated patients with B cell chronic lymphocytic leukemia (CLL) with those from age-matched healthy donors. Although the cells analyzed were not part of the malignant clone, analysis revealed differentially expressed genes, mainly involved in cell differentiation in CD4 cells and defects in cytoskeleton formation, vesicle trafficking, and cytotoxicity in CD8 cells of the CLL patients. In coculture experiments using CLL cells and T cells from healthy allogeneic donors, similar defects developed in both CD4 and CD8 cells. These changes were induced only with direct contact and were not cytokine mediated. Identification of the specific pathways perturbed in the T cells of cancer-bearing patients will allow us to assess steps to repair these defects, which will likely be required to enhance antitumor immunity. Gene expression profiling was performed to determine whether CLL cells induce changes in T cells in patients with CLL."}
{"STANDARD_NAME":"GSE8835_HEALTHY_VS_CLL_CD4_TCELL_DN","SYSTEMATIC_NAME":"M6261","ORGANISM":"Homo sapiens","PMID":"15965501","AUTHORS":"Görgün G,Holderried TA,Zahrieh D,Neuberg D,Gribben JG","GEOID":"GSE8835","EXACT_SOURCE":"GSE8835_3371_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells: healthy versus CLL (chronic lymphocytic leukemia)l.","DESCRIPTION_FULL":"To examine the impact of tumors on the immune system, we compared global gene expression profiles of peripheral blood T cells from previously untreated patients with B cell chronic lymphocytic leukemia (CLL) with those from age-matched healthy donors. Although the cells analyzed were not part of the malignant clone, analysis revealed differentially expressed genes, mainly involved in cell differentiation in CD4 cells and defects in cytoskeleton formation, vesicle trafficking, and cytotoxicity in CD8 cells of the CLL patients. In coculture experiments using CLL cells and T cells from healthy allogeneic donors, similar defects developed in both CD4 and CD8 cells. These changes were induced only with direct contact and were not cytokine mediated. Identification of the specific pathways perturbed in the T cells of cancer-bearing patients will allow us to assess steps to repair these defects, which will likely be required to enhance antitumor immunity. Gene expression profiling was performed to determine whether CLL cells induce changes in T cells in patients with CLL."}
{"STANDARD_NAME":"GSE8835_HEALTHY_VS_CLL_CD8_TCELL_UP","SYSTEMATIC_NAME":"M6262","ORGANISM":"Homo sapiens","PMID":"15965501","AUTHORS":"Görgün G,Holderried TA,Zahrieh D,Neuberg D,Gribben JG","GEOID":"GSE8835","EXACT_SOURCE":"GSE8835_3372_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD8 T cells: healthy versus CLL (chronic lymphocytic leukemia).","DESCRIPTION_FULL":"To examine the impact of tumors on the immune system, we compared global gene expression profiles of peripheral blood T cells from previously untreated patients with B cell chronic lymphocytic leukemia (CLL) with those from age-matched healthy donors. Although the cells analyzed were not part of the malignant clone, analysis revealed differentially expressed genes, mainly involved in cell differentiation in CD4 cells and defects in cytoskeleton formation, vesicle trafficking, and cytotoxicity in CD8 cells of the CLL patients. In coculture experiments using CLL cells and T cells from healthy allogeneic donors, similar defects developed in both CD4 and CD8 cells. These changes were induced only with direct contact and were not cytokine mediated. Identification of the specific pathways perturbed in the T cells of cancer-bearing patients will allow us to assess steps to repair these defects, which will likely be required to enhance antitumor immunity. Gene expression profiling was performed to determine whether CLL cells induce changes in T cells in patients with CLL."}
{"STANDARD_NAME":"GSE8835_HEALTHY_VS_CLL_CD8_TCELL_DN","SYSTEMATIC_NAME":"M6263","ORGANISM":"Homo sapiens","PMID":"15965501","AUTHORS":"Görgün G,Holderried TA,Zahrieh D,Neuberg D,Gribben JG","GEOID":"GSE8835","EXACT_SOURCE":"GSE8835_3372_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD8 T cells: healthy versus CLL (chronic lymphocytic leukemia).","DESCRIPTION_FULL":"To examine the impact of tumors on the immune system, we compared global gene expression profiles of peripheral blood T cells from previously untreated patients with B cell chronic lymphocytic leukemia (CLL) with those from age-matched healthy donors. Although the cells analyzed were not part of the malignant clone, analysis revealed differentially expressed genes, mainly involved in cell differentiation in CD4 cells and defects in cytoskeleton formation, vesicle trafficking, and cytotoxicity in CD8 cells of the CLL patients. In coculture experiments using CLL cells and T cells from healthy allogeneic donors, similar defects developed in both CD4 and CD8 cells. These changes were induced only with direct contact and were not cytokine mediated. Identification of the specific pathways perturbed in the T cells of cancer-bearing patients will allow us to assess steps to repair these defects, which will likely be required to enhance antitumor immunity. Gene expression profiling was performed to determine whether CLL cells induce changes in T cells in patients with CLL."}
{"STANDARD_NAME":"GSE2585_CTEC_VS_THYMIC_MACROPHAGE_DN","SYSTEMATIC_NAME":"M6264","ORGANISM":"Mus musculus","PMID":"15983066","AUTHORS":"Derbinski J,Gäbler J,Brors B,Tierling S,Jonnakuty S,Hergenhahn M,Peltonen L,Walter J,Kyewski B","GEOID":"GSE2585","EXACT_SOURCE":"GSE2585_3567_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in cortical thymic epithelial cells (cTEC) versus thymic macrophages.","DESCRIPTION_FULL":"Gene expression in different thymic stromal cells and subsets thereof was analyzed in 6-12 week old wild type (C57BL/6) and Aire knock-out (mixed background) mice. Thymic stromal cells were purified by sequential enzymatic digestion (collagenase, collagenase/dispase and trypsin) followed by gradient centrifugation and FACS sorting. Sort criteria were as follows: dendritic cells (CD11c+, F4/80 -), macrophages (F4/80+, CD11c-), cTECs (CD45–/lo, CDR1/Ly51+, Ep-CAM+) and mTECs (CD45–/lo, CDR1/Ly51–, Ep-CAM+). mTECs of wild-type and Aire knock-out mice were further subdivided according to CD80 expression levels. For microarray analysis total RNA from thymic stromal cell samples of two independent experiments was pre-amplified and biotinylated by two rounds of cDNA synthesis and in vitro transcription. Fluorescence readings were evaluated by using Microarray Suite 5.0 software."}
{"STANDARD_NAME":"GSE2585_CTEC_VS_MTEC_THYMUS_UP","SYSTEMATIC_NAME":"M6265","ORGANISM":"Mus musculus","PMID":"15983066","AUTHORS":"Derbinski J,Gäbler J,Brors B,Tierling S,Jonnakuty S,Hergenhahn M,Peltonen L,Walter J,Kyewski B","GEOID":"GSE2585","EXACT_SOURCE":"GSE2585_3568_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in thymic epithelial cells: cortical (cTEC) versus medullary (mTEC).","DESCRIPTION_FULL":"Gene expression in different thymic stromal cells and subsets thereof was analyzed in 6-12 week old wild type (C57BL/6) and Aire knock-out (mixed background) mice. Thymic stromal cells were purified by sequential enzymatic digestion (collagenase, collagenase/dispase and trypsin) followed by gradient centrifugation and FACS sorting. Sort criteria were as follows: dendritic cells (CD11c+, F4/80 -), macrophages (F4/80+, CD11c-), cTECs (CD45–/lo, CDR1/Ly51+, Ep-CAM+) and mTECs (CD45–/lo, CDR1/Ly51–, Ep-CAM+). mTECs of wild-type and Aire knock-out mice were further subdivided according to CD80 expression levels. For microarray analysis total RNA from thymic stromal cell samples of two independent experiments was pre-amplified and biotinylated by two rounds of cDNA synthesis and in vitro transcription. Fluorescence readings were evaluated by using Microarray Suite 5.0 software."}
{"STANDARD_NAME":"GSE2585_AIRE_KO_VS_WT_CD80_HIGH_MTEC_UP","SYSTEMATIC_NAME":"M6266","ORGANISM":"Mus musculus","PMID":"15983066","AUTHORS":"Derbinski J,Gäbler J,Brors B,Tierling S,Jonnakuty S,Hergenhahn M,Peltonen L,Walter J,Kyewski B","GEOID":"GSE2585","EXACT_SOURCE":"GSE2585_3564_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in medullary thymic epithelial cells (mTEC) with CD80 [GeneID=941] high: AIRE [GeneID=326] knockout versus wildtype.","DESCRIPTION_FULL":"Gene expression in different thymic stromal cells and subsets thereof was analyzed in 6-12 week old wild type (C57BL/6) and Aire knock-out (mixed background) mice. Thymic stromal cells were purified by sequential enzymatic digestion (collagenase, collagenase/dispase and trypsin) followed by gradient centrifugation and FACS sorting. Sort criteria were as follows: dendritic cells (CD11c+, F4/80 -), macrophages (F4/80+, CD11c-), cTECs (CD45–/lo, CDR1/Ly51+, Ep-CAM+) and mTECs (CD45–/lo, CDR1/Ly51–, Ep-CAM+). mTECs of wild-type and Aire knock-out mice were further subdivided according to CD80 expression levels. For microarray analysis total RNA from thymic stromal cell samples of two independent experiments was pre-amplified and biotinylated by two rounds of cDNA synthesis and in vitro transcription. Fluorescence readings were evaluated by using Microarray Suite 5.0 software."}
{"STANDARD_NAME":"GSE2585_CTEC_VS_THYMIC_MACROPHAGE_UP","SYSTEMATIC_NAME":"M6268","ORGANISM":"Mus musculus","PMID":"15983066","AUTHORS":"Derbinski J,Gäbler J,Brors B,Tierling S,Jonnakuty S,Hergenhahn M,Peltonen L,Walter J,Kyewski B","GEOID":"GSE2585","EXACT_SOURCE":"GSE2585_3567_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in cortical thymic epithelial cells (cTEC) versus thymic macrophages.","DESCRIPTION_FULL":"Gene expression in different thymic stromal cells and subsets thereof was analyzed in 6-12 week old wild type (C57BL/6) and Aire knock-out (mixed background) mice. Thymic stromal cells were purified by sequential enzymatic digestion (collagenase, collagenase/dispase and trypsin) followed by gradient centrifugation and FACS sorting. Sort criteria were as follows: dendritic cells (CD11c+, F4/80 -), macrophages (F4/80+, CD11c-), cTECs (CD45–/lo, CDR1/Ly51+, Ep-CAM+) and mTECs (CD45–/lo, CDR1/Ly51–, Ep-CAM+). mTECs of wild-type and Aire knock-out mice were further subdivided according to CD80 expression levels. For microarray analysis total RNA from thymic stromal cell samples of two independent experiments was pre-amplified and biotinylated by two rounds of cDNA synthesis and in vitro transcription. Fluorescence readings were evaluated by using Microarray Suite 5.0 software."}
{"STANDARD_NAME":"GSE2585_CD80_HIGH_VS_LOW_AIRE_KO_MTEC_UP","SYSTEMATIC_NAME":"M6269","ORGANISM":"Mus musculus","PMID":"15983066","AUTHORS":"Derbinski J,Gäbler J,Brors B,Tierling S,Jonnakuty S,Hergenhahn M,Peltonen L,Walter J,Kyewski B","GEOID":"GSE2585","EXACT_SOURCE":"GSE2585_3562_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in medullary thymic epithelial cells (mTEC) with AIRE [GeneID=326] knockout: CD80 [GeneID=941] high versus low.","DESCRIPTION_FULL":"Gene expression in different thymic stromal cells and subsets thereof was analyzed in 6-12 week old wild type (C57BL/6) and Aire knock-out (mixed background) mice. Thymic stromal cells were purified by sequential enzymatic digestion (collagenase, collagenase/dispase and trypsin) followed by gradient centrifugation and FACS sorting. Sort criteria were as follows: dendritic cells (CD11c+, F4/80 -), macrophages (F4/80+, CD11c-), cTECs (CD45–/lo, CDR1/Ly51+, Ep-CAM+) and mTECs (CD45–/lo, CDR1/Ly51–, Ep-CAM+). mTECs of wild-type and Aire knock-out mice were further subdivided according to CD80 expression levels. For microarray analysis total RNA from thymic stromal cell samples of two independent experiments was pre-amplified and biotinylated by two rounds of cDNA synthesis and in vitro transcription. Fluorescence readings were evaluated by using Microarray Suite 5.0 software."}
{"STANDARD_NAME":"GSE2585_AIRE_KO_VS_WT_CD80_LOW_MTEC_DN","SYSTEMATIC_NAME":"M6270","ORGANISM":"Mus musculus","PMID":"15983066","AUTHORS":"Derbinski J,Gäbler J,Brors B,Tierling S,Jonnakuty S,Hergenhahn M,Peltonen L,Walter J,Kyewski B","GEOID":"GSE2585","EXACT_SOURCE":"GSE2585_3565_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in medullary thymic epithelial cells (mTEC) with CD80 [GeneID=941] low: AIRE [GeneID=326] knockout versus wildtype.","DESCRIPTION_FULL":"Gene expression in different thymic stromal cells and subsets thereof was analyzed in 6-12 week old wild type (C57BL/6) and Aire knock-out (mixed background) mice. Thymic stromal cells were purified by sequential enzymatic digestion (collagenase, collagenase/dispase and trypsin) followed by gradient centrifugation and FACS sorting. Sort criteria were as follows: dendritic cells (CD11c+, F4/80 -), macrophages (F4/80+, CD11c-), cTECs (CD45–/lo, CDR1/Ly51+, Ep-CAM+) and mTECs (CD45–/lo, CDR1/Ly51–, Ep-CAM+). mTECs of wild-type and Aire knock-out mice were further subdivided according to CD80 expression levels. For microarray analysis total RNA from thymic stromal cell samples of two independent experiments was pre-amplified and biotinylated by two rounds of cDNA synthesis and in vitro transcription. Fluorescence readings were evaluated by using Microarray Suite 5.0 software."}
{"STANDARD_NAME":"GSE2585_CTEC_VS_THYMIC_DC_UP","SYSTEMATIC_NAME":"M6271","ORGANISM":"Mus musculus","PMID":"15983066","AUTHORS":"Derbinski J,Gäbler J,Brors B,Tierling S,Jonnakuty S,Hergenhahn M,Peltonen L,Walter J,Kyewski B","GEOID":"GSE2585","EXACT_SOURCE":"GSE2585_3566_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in cortical thymic epithelial cells (cTEC) versus thymic dendritic cells.","DESCRIPTION_FULL":"Gene expression in different thymic stromal cells and subsets thereof was analyzed in 6-12 week old wild type (C57BL/6) and Aire knock-out (mixed background) mice. Thymic stromal cells were purified by sequential enzymatic digestion (collagenase, collagenase/dispase and trypsin) followed by gradient centrifugation and FACS sorting. Sort criteria were as follows: dendritic cells (CD11c+, F4/80 -), macrophages (F4/80+, CD11c-), cTECs (CD45–/lo, CDR1/Ly51+, Ep-CAM+) and mTECs (CD45–/lo, CDR1/Ly51–, Ep-CAM+). mTECs of wild-type and Aire knock-out mice were further subdivided according to CD80 expression levels. For microarray analysis total RNA from thymic stromal cell samples of two independent experiments was pre-amplified and biotinylated by two rounds of cDNA synthesis and in vitro transcription. Fluorescence readings were evaluated by using Microarray Suite 5.0 software."}
{"STANDARD_NAME":"GSE2585_CTEC_VS_THYMIC_DC_DN","SYSTEMATIC_NAME":"M6272","ORGANISM":"Mus musculus","PMID":"15983066","AUTHORS":"Derbinski J,Gäbler J,Brors B,Tierling S,Jonnakuty S,Hergenhahn M,Peltonen L,Walter J,Kyewski B","GEOID":"GSE2585","EXACT_SOURCE":"GSE2585_3566_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in cortical thymic epithelial cells (cTEC) versus thymic dendritic cells.","DESCRIPTION_FULL":"Gene expression in different thymic stromal cells and subsets thereof was analyzed in 6-12 week old wild type (C57BL/6) and Aire knock-out (mixed background) mice. Thymic stromal cells were purified by sequential enzymatic digestion (collagenase, collagenase/dispase and trypsin) followed by gradient centrifugation and FACS sorting. Sort criteria were as follows: dendritic cells (CD11c+, F4/80 -), macrophages (F4/80+, CD11c-), cTECs (CD45–/lo, CDR1/Ly51+, Ep-CAM+) and mTECs (CD45–/lo, CDR1/Ly51–, Ep-CAM+). mTECs of wild-type and Aire knock-out mice were further subdivided according to CD80 expression levels. For microarray analysis total RNA from thymic stromal cell samples of two independent experiments was pre-amplified and biotinylated by two rounds of cDNA synthesis and in vitro transcription. Fluorescence readings were evaluated by using Microarray Suite 5.0 software."}
{"STANDARD_NAME":"GSE2585_AIRE_KO_VS_WT_CD80_HIGH_MTEC_DN","SYSTEMATIC_NAME":"M6273","ORGANISM":"Mus musculus","PMID":"15983066","AUTHORS":"Derbinski J,Gäbler J,Brors B,Tierling S,Jonnakuty S,Hergenhahn M,Peltonen L,Walter J,Kyewski B","GEOID":"GSE2585","EXACT_SOURCE":"GSE2585_3564_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in medullary thymic epithelial cells (mTEC) with CD80 [GeneID=941] high: AIRE [GeneID=326] knockout versus wildtype.","DESCRIPTION_FULL":"Gene expression in different thymic stromal cells and subsets thereof was analyzed in 6-12 week old wild type (C57BL/6) and Aire knock-out (mixed background) mice. Thymic stromal cells were purified by sequential enzymatic digestion (collagenase, collagenase/dispase and trypsin) followed by gradient centrifugation and FACS sorting. Sort criteria were as follows: dendritic cells (CD11c+, F4/80 -), macrophages (F4/80+, CD11c-), cTECs (CD45–/lo, CDR1/Ly51+, Ep-CAM+) and mTECs (CD45–/lo, CDR1/Ly51–, Ep-CAM+). mTECs of wild-type and Aire knock-out mice were further subdivided according to CD80 expression levels. For microarray analysis total RNA from thymic stromal cell samples of two independent experiments was pre-amplified and biotinylated by two rounds of cDNA synthesis and in vitro transcription. Fluorescence readings were evaluated by using Microarray Suite 5.0 software."}
{"STANDARD_NAME":"GSE2585_CTEC_VS_MTEC_THYMUS_DN","SYSTEMATIC_NAME":"M6274","ORGANISM":"Mus musculus","PMID":"15983066","AUTHORS":"Derbinski J,Gäbler J,Brors B,Tierling S,Jonnakuty S,Hergenhahn M,Peltonen L,Walter J,Kyewski B","GEOID":"GSE2585","EXACT_SOURCE":"GSE2585_3568_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in thymic epithelial cells: cortical (cTEC) versus medullary (mTEC).","DESCRIPTION_FULL":"Gene expression in different thymic stromal cells and subsets thereof was analyzed in 6-12 week old wild type (C57BL/6) and Aire knock-out (mixed background) mice. Thymic stromal cells were purified by sequential enzymatic digestion (collagenase, collagenase/dispase and trypsin) followed by gradient centrifugation and FACS sorting. Sort criteria were as follows: dendritic cells (CD11c+, F4/80 -), macrophages (F4/80+, CD11c-), cTECs (CD45–/lo, CDR1/Ly51+, Ep-CAM+) and mTECs (CD45–/lo, CDR1/Ly51–, Ep-CAM+). mTECs of wild-type and Aire knock-out mice were further subdivided according to CD80 expression levels. For microarray analysis total RNA from thymic stromal cell samples of two independent experiments was pre-amplified and biotinylated by two rounds of cDNA synthesis and in vitro transcription. Fluorescence readings were evaluated by using Microarray Suite 5.0 software."}
{"STANDARD_NAME":"GSE2585_CD80_HIGH_VS_LOW_AIRE_KO_MTEC_DN","SYSTEMATIC_NAME":"M6275","ORGANISM":"Mus musculus","PMID":"15983066","AUTHORS":"Derbinski J,Gäbler J,Brors B,Tierling S,Jonnakuty S,Hergenhahn M,Peltonen L,Walter J,Kyewski B","GEOID":"GSE2585","EXACT_SOURCE":"GSE2585_3562_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in medullary thymic epithelial cells (mTEC) with AIRE [GeneID=326] knockout: CD80 [GeneID=941] high versus low.","DESCRIPTION_FULL":"Gene expression in different thymic stromal cells and subsets thereof was analyzed in 6-12 week old wild type (C57BL/6) and Aire knock-out (mixed background) mice. Thymic stromal cells were purified by sequential enzymatic digestion (collagenase, collagenase/dispase and trypsin) followed by gradient centrifugation and FACS sorting. Sort criteria were as follows: dendritic cells (CD11c+, F4/80 -), macrophages (F4/80+, CD11c-), cTECs (CD45–/lo, CDR1/Ly51+, Ep-CAM+) and mTECs (CD45–/lo, CDR1/Ly51–, Ep-CAM+). mTECs of wild-type and Aire knock-out mice were further subdivided according to CD80 expression levels. For microarray analysis total RNA from thymic stromal cell samples of two independent experiments was pre-amplified and biotinylated by two rounds of cDNA synthesis and in vitro transcription. Fluorescence readings were evaluated by using Microarray Suite 5.0 software."}
{"STANDARD_NAME":"GSE2585_CD80_HIGH_VS_LOW_MTEC_UP","SYSTEMATIC_NAME":"M6276","ORGANISM":"Mus musculus","PMID":"15983066","AUTHORS":"Derbinski J,Gäbler J,Brors B,Tierling S,Jonnakuty S,Hergenhahn M,Peltonen L,Walter J,Kyewski B","GEOID":"GSE2585","EXACT_SOURCE":"GSE2585_3563_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in medullary thymic epithelial cells (mTEC): CD80 [GeneID=941] high versus low.","DESCRIPTION_FULL":"Gene expression in different thymic stromal cells and subsets thereof was analyzed in 6-12 week old wild type (C57BL/6) and Aire knock-out (mixed background) mice. Thymic stromal cells were purified by sequential enzymatic digestion (collagenase, collagenase/dispase and trypsin) followed by gradient centrifugation and FACS sorting. Sort criteria were as follows: dendritic cells (CD11c+, F4/80 -), macrophages (F4/80+, CD11c-), cTECs (CD45–/lo, CDR1/Ly51+, Ep-CAM+) and mTECs (CD45–/lo, CDR1/Ly51–, Ep-CAM+). mTECs of wild-type and Aire knock-out mice were further subdivided according to CD80 expression levels. For microarray analysis total RNA from thymic stromal cell samples of two independent experiments was pre-amplified and biotinylated by two rounds of cDNA synthesis and in vitro transcription. Fluorescence readings were evaluated by using Microarray Suite 5.0 software."}
{"STANDARD_NAME":"GSE2585_THYMIC_DC_VS_THYMIC_MACROPHAGE_DN","SYSTEMATIC_NAME":"M6277","ORGANISM":"Mus musculus","PMID":"15983066","AUTHORS":"Derbinski J,Gäbler J,Brors B,Tierling S,Jonnakuty S,Hergenhahn M,Peltonen L,Walter J,Kyewski B","GEOID":"GSE2585","EXACT_SOURCE":"GSE2585_3569_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in thymic: dendritic cells versus macrophages.","DESCRIPTION_FULL":"Gene expression in different thymic stromal cells and subsets thereof was analyzed in 6-12 week old wild type (C57BL/6) and Aire knock-out (mixed background) mice. Thymic stromal cells were purified by sequential enzymatic digestion (collagenase, collagenase/dispase and trypsin) followed by gradient centrifugation and FACS sorting. Sort criteria were as follows: dendritic cells (CD11c+, F4/80 -), macrophages (F4/80+, CD11c-), cTECs (CD45–/lo, CDR1/Ly51+, Ep-CAM+) and mTECs (CD45–/lo, CDR1/Ly51–, Ep-CAM+). mTECs of wild-type and Aire knock-out mice were further subdivided according to CD80 expression levels. For microarray analysis total RNA from thymic stromal cell samples of two independent experiments was pre-amplified and biotinylated by two rounds of cDNA synthesis and in vitro transcription. Fluorescence readings were evaluated by using Microarray Suite 5.0 software."}
{"STANDARD_NAME":"GSE2585_AIRE_KO_VS_WT_CD80_LOW_MTEC_UP","SYSTEMATIC_NAME":"M6278","ORGANISM":"Mus musculus","PMID":"15983066","AUTHORS":"Derbinski J,Gäbler J,Brors B,Tierling S,Jonnakuty S,Hergenhahn M,Peltonen L,Walter J,Kyewski B","GEOID":"GSE2585","EXACT_SOURCE":"GSE2585_3565_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in medullary thymic epithelial cells (mTEC) with CD80 [GeneID=941] low: AIRE [GeneID=326] knockout versus wildtype.","DESCRIPTION_FULL":"Gene expression in different thymic stromal cells and subsets thereof was analyzed in 6-12 week old wild type (C57BL/6) and Aire knock-out (mixed background) mice. Thymic stromal cells were purified by sequential enzymatic digestion (collagenase, collagenase/dispase and trypsin) followed by gradient centrifugation and FACS sorting. Sort criteria were as follows: dendritic cells (CD11c+, F4/80 -), macrophages (F4/80+, CD11c-), cTECs (CD45–/lo, CDR1/Ly51+, Ep-CAM+) and mTECs (CD45–/lo, CDR1/Ly51–, Ep-CAM+). mTECs of wild-type and Aire knock-out mice were further subdivided according to CD80 expression levels. For microarray analysis total RNA from thymic stromal cell samples of two independent experiments was pre-amplified and biotinylated by two rounds of cDNA synthesis and in vitro transcription. Fluorescence readings were evaluated by using Microarray Suite 5.0 software."}
{"STANDARD_NAME":"GSE2585_THYMIC_MACROPHAGE_VS_MTEC_UP","SYSTEMATIC_NAME":"M6279","ORGANISM":"Mus musculus","PMID":"15983066","AUTHORS":"Derbinski J,Gäbler J,Brors B,Tierling S,Jonnakuty S,Hergenhahn M,Peltonen L,Walter J,Kyewski B","GEOID":"GSE2585","EXACT_SOURCE":"GSE2585_3571_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in thymic macrophages versus medullary thymic epithelial cells (mTEC).","DESCRIPTION_FULL":"Gene expression in different thymic stromal cells and subsets thereof was analyzed in 6-12 week old wild type (C57BL/6) and Aire knock-out (mixed background) mice. Thymic stromal cells were purified by sequential enzymatic digestion (collagenase, collagenase/dispase and trypsin) followed by gradient centrifugation and FACS sorting. Sort criteria were as follows: dendritic cells (CD11c+, F4/80 -), macrophages (F4/80+, CD11c-), cTECs (CD45–/lo, CDR1/Ly51+, Ep-CAM+) and mTECs (CD45–/lo, CDR1/Ly51–, Ep-CAM+). mTECs of wild-type and Aire knock-out mice were further subdivided according to CD80 expression levels. For microarray analysis total RNA from thymic stromal cell samples of two independent experiments was pre-amplified and biotinylated by two rounds of cDNA synthesis and in vitro transcription. Fluorescence readings were evaluated by using Microarray Suite 5.0 software."}
{"STANDARD_NAME":"GSE2585_THYMIC_MACROPHAGE_VS_MTEC_DN","SYSTEMATIC_NAME":"M6280","ORGANISM":"Mus musculus","PMID":"15983066","AUTHORS":"Derbinski J,Gäbler J,Brors B,Tierling S,Jonnakuty S,Hergenhahn M,Peltonen L,Walter J,Kyewski B","GEOID":"GSE2585","EXACT_SOURCE":"GSE2585_3571_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in thymic macrophages versus medullary thymic epithelial cells (mTEC).","DESCRIPTION_FULL":"Gene expression in different thymic stromal cells and subsets thereof was analyzed in 6-12 week old wild type (C57BL/6) and Aire knock-out (mixed background) mice. Thymic stromal cells were purified by sequential enzymatic digestion (collagenase, collagenase/dispase and trypsin) followed by gradient centrifugation and FACS sorting. Sort criteria were as follows: dendritic cells (CD11c+, F4/80 -), macrophages (F4/80+, CD11c-), cTECs (CD45–/lo, CDR1/Ly51+, Ep-CAM+) and mTECs (CD45–/lo, CDR1/Ly51–, Ep-CAM+). mTECs of wild-type and Aire knock-out mice were further subdivided according to CD80 expression levels. For microarray analysis total RNA from thymic stromal cell samples of two independent experiments was pre-amplified and biotinylated by two rounds of cDNA synthesis and in vitro transcription. Fluorescence readings were evaluated by using Microarray Suite 5.0 software."}
{"STANDARD_NAME":"GSE2585_CD80_HIGH_VS_LOW_MTEC_DN","SYSTEMATIC_NAME":"M6282","ORGANISM":"Mus musculus","PMID":"15983066","AUTHORS":"Derbinski J,Gäbler J,Brors B,Tierling S,Jonnakuty S,Hergenhahn M,Peltonen L,Walter J,Kyewski B","GEOID":"GSE2585","EXACT_SOURCE":"GSE2585_3563_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in medullary thymic epithelial cells (mTEC): CD80 [GeneID=941] high versus low.","DESCRIPTION_FULL":"Gene expression in different thymic stromal cells and subsets thereof was analyzed in 6-12 week old wild type (C57BL/6) and Aire knock-out (mixed background) mice. Thymic stromal cells were purified by sequential enzymatic digestion (collagenase, collagenase/dispase and trypsin) followed by gradient centrifugation and FACS sorting. Sort criteria were as follows: dendritic cells (CD11c+, F4/80 -), macrophages (F4/80+, CD11c-), cTECs (CD45–/lo, CDR1/Ly51+, Ep-CAM+) and mTECs (CD45–/lo, CDR1/Ly51–, Ep-CAM+). mTECs of wild-type and Aire knock-out mice were further subdivided according to CD80 expression levels. For microarray analysis total RNA from thymic stromal cell samples of two independent experiments was pre-amplified and biotinylated by two rounds of cDNA synthesis and in vitro transcription. Fluorescence readings were evaluated by using Microarray Suite 5.0 software."}
{"STANDARD_NAME":"GSE2585_THYMIC_DC_VS_MTEC_DN","SYSTEMATIC_NAME":"M6283","ORGANISM":"Mus musculus","PMID":"15983066","AUTHORS":"Derbinski J,Gäbler J,Brors B,Tierling S,Jonnakuty S,Hergenhahn M,Peltonen L,Walter J,Kyewski B","GEOID":"GSE2585","EXACT_SOURCE":"GSE2585_3570_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in thymic dendritic cells versus medullary thymic epithelial cells (mTEC).","DESCRIPTION_FULL":"Gene expression in different thymic stromal cells and subsets thereof was analyzed in 6-12 week old wild type (C57BL/6) and Aire knock-out (mixed background) mice. Thymic stromal cells were purified by sequential enzymatic digestion (collagenase, collagenase/dispase and trypsin) followed by gradient centrifugation and FACS sorting. Sort criteria were as follows: dendritic cells (CD11c+, F4/80 -), macrophages (F4/80+, CD11c-), cTECs (CD45–/lo, CDR1/Ly51+, Ep-CAM+) and mTECs (CD45–/lo, CDR1/Ly51–, Ep-CAM+). mTECs of wild-type and Aire knock-out mice were further subdivided according to CD80 expression levels. For microarray analysis total RNA from thymic stromal cell samples of two independent experiments was pre-amplified and biotinylated by two rounds of cDNA synthesis and in vitro transcription. Fluorescence readings were evaluated by using Microarray Suite 5.0 software."}
{"STANDARD_NAME":"GSE2585_THYMIC_DC_VS_THYMIC_MACROPHAGE_UP","SYSTEMATIC_NAME":"M6284","ORGANISM":"Mus musculus","PMID":"15983066","AUTHORS":"Derbinski J,Gäbler J,Brors B,Tierling S,Jonnakuty S,Hergenhahn M,Peltonen L,Walter J,Kyewski B","GEOID":"GSE2585","EXACT_SOURCE":"GSE2585_3569_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in thymic: dendritic cells versus macrophages.","DESCRIPTION_FULL":"Gene expression in different thymic stromal cells and subsets thereof was analyzed in 6-12 week old wild type (C57BL/6) and Aire knock-out (mixed background) mice. Thymic stromal cells were purified by sequential enzymatic digestion (collagenase, collagenase/dispase and trypsin) followed by gradient centrifugation and FACS sorting. Sort criteria were as follows: dendritic cells (CD11c+, F4/80 -), macrophages (F4/80+, CD11c-), cTECs (CD45–/lo, CDR1/Ly51+, Ep-CAM+) and mTECs (CD45–/lo, CDR1/Ly51–, Ep-CAM+). mTECs of wild-type and Aire knock-out mice were further subdivided according to CD80 expression levels. For microarray analysis total RNA from thymic stromal cell samples of two independent experiments was pre-amplified and biotinylated by two rounds of cDNA synthesis and in vitro transcription. Fluorescence readings were evaluated by using Microarray Suite 5.0 software."}
{"STANDARD_NAME":"GSE2585_THYMIC_DC_VS_MTEC_UP","SYSTEMATIC_NAME":"M6289","ORGANISM":"Mus musculus","PMID":"15983066","AUTHORS":"Derbinski J,Gäbler J,Brors B,Tierling S,Jonnakuty S,Hergenhahn M,Peltonen L,Walter J,Kyewski B","GEOID":"GSE2585","EXACT_SOURCE":"GSE2585_3570_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in thymic dendritic cells versus medullary thymic epithelial cells (mTEC).","DESCRIPTION_FULL":"Gene expression in different thymic stromal cells and subsets thereof was analyzed in 6-12 week old wild type (C57BL/6) and Aire knock-out (mixed background) mice. Thymic stromal cells were purified by sequential enzymatic digestion (collagenase, collagenase/dispase and trypsin) followed by gradient centrifugation and FACS sorting. Sort criteria were as follows: dendritic cells (CD11c+, F4/80 -), macrophages (F4/80+, CD11c-), cTECs (CD45–/lo, CDR1/Ly51+, Ep-CAM+) and mTECs (CD45–/lo, CDR1/Ly51–, Ep-CAM+). mTECs of wild-type and Aire knock-out mice were further subdivided according to CD80 expression levels. For microarray analysis total RNA from thymic stromal cell samples of two independent experiments was pre-amplified and biotinylated by two rounds of cDNA synthesis and in vitro transcription. Fluorescence readings were evaluated by using Microarray Suite 5.0 software."}
{"STANDARD_NAME":"GSE1925_CTRL_VS_3H_IFNG_STIM_MACROPHAGE_DN","SYSTEMATIC_NAME":"M6290","ORGANISM":"Homo sapiens","PMID":"16148108","AUTHORS":"Hu X,Park-Min KH,Ho HH,Ivashkiv LB","GEOID":"GSE1925","EXACT_SOURCE":"GSE1925_3032_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages: untreated versus stimulated by IFNG [GeneID=3458] for 3h.","DESCRIPTION_FULL":"IFN-gamma transcriptional responses in control and IFN-gamma primed primary human macrophages"}
{"STANDARD_NAME":"GSE1925_3H_VS_24H_IFNG_STIM_MACROPHAGE_DN","SYSTEMATIC_NAME":"M6291","ORGANISM":"Homo sapiens","PMID":"16148108","AUTHORS":"Hu X,Park-Min KH,Ho HH,Ivashkiv LB","GEOID":"GSE1925","EXACT_SOURCE":"GSE1925_3034_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages stimulated by IFNG [GeneID=3458]: 3h versus 24h.","DESCRIPTION_FULL":"IFN-gamma transcriptional responses in control and IFN-gamma primed primary human macrophages"}
{"STANDARD_NAME":"GSE1925_3H_VS_24H_IFNG_STIM_MACROPHAGE_UP","SYSTEMATIC_NAME":"M6292","ORGANISM":"Homo sapiens","PMID":"16148108","AUTHORS":"Hu X,Park-Min KH,Ho HH,Ivashkiv LB","GEOID":"GSE1925","EXACT_SOURCE":"GSE1925_3034_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages stimulated by IFNG [GeneID=3458]: 3h versus 24h.","DESCRIPTION_FULL":"IFN-gamma transcriptional responses in control and IFN-gamma primed primary human macrophages"}
{"STANDARD_NAME":"GSE1925_CTRL_VS_24H_IFNG_STIM_MACROPHAGE_UP","SYSTEMATIC_NAME":"M6293","ORGANISM":"Homo sapiens","PMID":"16148108","AUTHORS":"Hu X,Park-Min KH,Ho HH,Ivashkiv LB","GEOID":"GSE1925","EXACT_SOURCE":"GSE1925_3033_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages: untreated versus stimulated by IFNG [GeneID=3458] for 24h.","DESCRIPTION_FULL":"IFN-gamma transcriptional responses in control and IFN-gamma primed primary human macrophages"}
{"STANDARD_NAME":"GSE1925_CTRL_VS_24H_IFNG_STIM_MACROPHAGE_DN","SYSTEMATIC_NAME":"M6294","ORGANISM":"Homo sapiens","PMID":"16148108","AUTHORS":"Hu X,Park-Min KH,Ho HH,Ivashkiv LB","GEOID":"GSE1925","EXACT_SOURCE":"GSE1925_3033_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages: untreated versus stimulated by IFNG [GeneID=3458] for 24h.","DESCRIPTION_FULL":"IFN-gamma transcriptional responses in control and IFN-gamma primed primary human macrophages"}
{"STANDARD_NAME":"GSE1925_CTRL_VS_3H_IFNG_STIM_IFNG_PRIMED_MACROPHAGE_UP","SYSTEMATIC_NAME":"M6295","ORGANISM":"Homo sapiens","PMID":"16148108","AUTHORS":"Hu X,Park-Min KH,Ho HH,Ivashkiv LB","GEOID":"GSE1925","EXACT_SOURCE":"GSE1925_3036_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages primed by IFNG [GeneID=3458]: untreated versus stimulated by IFNG [GeneID=3458] for 3h.","DESCRIPTION_FULL":"IFN-gamma transcriptional responses in control and IFN-gamma primed primary human macrophages"}
{"STANDARD_NAME":"GSE1925_CTRL_VS_IFNG_PRIMED_MACROPHAGE_3H_IFNG_STIM_UP","SYSTEMATIC_NAME":"M6296","ORGANISM":"Homo sapiens","PMID":"16148108","AUTHORS":"Hu X,Park-Min KH,Ho HH,Ivashkiv LB","GEOID":"GSE1925","EXACT_SOURCE":"GSE1925_3039_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages stimulated by IFNG [GeneID=3458] for 3h: control versus primed by IFNG [GeneID=3458].","DESCRIPTION_FULL":"IFN-gamma transcriptional responses in control and IFN-gamma primed primary human macrophages"}
{"STANDARD_NAME":"GSE1925_CTRL_VS_IFNG_PRIMED_MACROPHAGE_3H_IFNG_STIM_DN","SYSTEMATIC_NAME":"M6297","ORGANISM":"Homo sapiens","PMID":"16148108","AUTHORS":"Hu X,Park-Min KH,Ho HH,Ivashkiv LB","GEOID":"GSE1925","EXACT_SOURCE":"GSE1925_3039_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages stimulated by IFNG [GeneID=3458] for 3h: control versus primed by IFNG [GeneID=3458].","DESCRIPTION_FULL":"IFN-gamma transcriptional responses in control and IFN-gamma primed primary human macrophages"}
{"STANDARD_NAME":"GSE1925_CTRL_VS_24H_IFNG_STIM_IFNG_PRIMED_MACROPHAGE_DN","SYSTEMATIC_NAME":"M6299","ORGANISM":"Homo sapiens","PMID":"16148108","AUTHORS":"Hu X,Park-Min KH,Ho HH,Ivashkiv LB","GEOID":"GSE1925","EXACT_SOURCE":"GSE1925_3037_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages primed by IFNG [GeneID=3458]: untreated versus stimulated by IFNG [GeneID=3458] for 24h.","DESCRIPTION_FULL":"IFN-gamma transcriptional responses in control and IFN-gamma primed primary human macrophages"}
{"STANDARD_NAME":"GSE1925_3H_VS_24H_IFNG_STIM_IFNG_PRIMED_MACROPHAGE_UP","SYSTEMATIC_NAME":"M6300","ORGANISM":"Homo sapiens","PMID":"16148108","AUTHORS":"Hu X,Park-Min KH,Ho HH,Ivashkiv LB","GEOID":"GSE1925","EXACT_SOURCE":"GSE1925_3038_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages primed and then stimulated by IFNG [GeneID=3458]: 3h versus 24h.","DESCRIPTION_FULL":"IFN-gamma transcriptional responses in control and IFN-gamma primed primary human macrophages"}
{"STANDARD_NAME":"GSE1925_3H_VS_24H_IFNG_STIM_IFNG_PRIMED_MACROPHAGE_DN","SYSTEMATIC_NAME":"M6301","ORGANISM":"Homo sapiens","PMID":"16148108","AUTHORS":"Hu X,Park-Min KH,Ho HH,Ivashkiv LB","GEOID":"GSE1925","EXACT_SOURCE":"GSE1925_3038_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages primed and then stimulated by IFNG [GeneID=3458]: 3h versus 24h.","DESCRIPTION_FULL":"IFN-gamma transcriptional responses in control and IFN-gamma primed primary human macrophages"}
{"STANDARD_NAME":"GSE1925_CTRL_VS_3H_IFNG_STIM_MACROPHAGE_UP","SYSTEMATIC_NAME":"M6305","ORGANISM":"Homo sapiens","PMID":"16148108","AUTHORS":"Hu X,Park-Min KH,Ho HH,Ivashkiv LB","GEOID":"GSE1925","EXACT_SOURCE":"GSE1925_3032_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages: untreated versus stimulated by IFNG [GeneID=3458] for 3h.","DESCRIPTION_FULL":"IFN-gamma transcriptional responses in control and IFN-gamma primed primary human macrophages"}
{"STANDARD_NAME":"GSE1925_CTRL_VS_IFNG_PRIMED_MACROPHAGE_UP","SYSTEMATIC_NAME":"M6306","ORGANISM":"Homo sapiens","PMID":"16148108","AUTHORS":"Hu X,Park-Min KH,Ho HH,Ivashkiv LB","GEOID":"GSE1925","EXACT_SOURCE":"GSE1925_3035_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in control macrophages: untreated versus primed by IFNG [GeneID=3458].","DESCRIPTION_FULL":"IFN-gamma transcriptional responses in control and IFN-gamma primed primary human macrophages"}
{"STANDARD_NAME":"GSE1925_CTRL_VS_IFNG_PRIMED_MACROPHAGE_24H_IFNG_STIM_UP","SYSTEMATIC_NAME":"M6307","ORGANISM":"Homo sapiens","PMID":"16148108","AUTHORS":"Hu X,Park-Min KH,Ho HH,Ivashkiv LB","GEOID":"GSE1925","EXACT_SOURCE":"GSE1925_3040_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages stimulated by IFNG [GeneID=3458] for 24h: control versus primed by IFNG [GeneID=3458].","DESCRIPTION_FULL":"IFN-gamma transcriptional responses in control and IFN-gamma primed primary human macrophages"}
{"STANDARD_NAME":"GSE1925_CTRL_VS_IFNG_PRIMED_MACROPHAGE_24H_IFNG_STIM_DN","SYSTEMATIC_NAME":"M6309","ORGANISM":"Homo sapiens","PMID":"16148108","AUTHORS":"Hu X,Park-Min KH,Ho HH,Ivashkiv LB","GEOID":"GSE1925","EXACT_SOURCE":"GSE1925_3040_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages stimulated by IFNG [GeneID=3458] for 24h: control versus primed by IFNG [GeneID=3458].","DESCRIPTION_FULL":"IFN-gamma transcriptional responses in control and IFN-gamma primed primary human macrophages"}
{"STANDARD_NAME":"GSE1925_CTRL_VS_3H_IFNG_STIM_IFNG_PRIMED_MACROPHAGE_DN","SYSTEMATIC_NAME":"M6310","ORGANISM":"Homo sapiens","PMID":"16148108","AUTHORS":"Hu X,Park-Min KH,Ho HH,Ivashkiv LB","GEOID":"GSE1925","EXACT_SOURCE":"GSE1925_3036_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages primed by IFNG [GeneID=3458]: untreated versus stimulated by IFNG [GeneID=3458] for 3h.","DESCRIPTION_FULL":"IFN-gamma transcriptional responses in control and IFN-gamma primed primary human macrophages"}
{"STANDARD_NAME":"GSE1925_CTRL_VS_IFNG_PRIMED_MACROPHAGE_DN","SYSTEMATIC_NAME":"M6313","ORGANISM":"Homo sapiens","PMID":"16148108","AUTHORS":"Hu X,Park-Min KH,Ho HH,Ivashkiv LB","GEOID":"GSE1925","EXACT_SOURCE":"GSE1925_3035_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in control macrophages: untreated versus primed by IFNG [GeneID=3458].","DESCRIPTION_FULL":"IFN-gamma transcriptional responses in control and IFN-gamma primed primary human macrophages"}
{"STANDARD_NAME":"GSE1925_CTRL_VS_24H_IFNG_STIM_IFNG_PRIMED_MACROPHAGE_UP","SYSTEMATIC_NAME":"M6314","ORGANISM":"Homo sapiens","PMID":"16148108","AUTHORS":"Hu X,Park-Min KH,Ho HH,Ivashkiv LB","GEOID":"GSE1925","EXACT_SOURCE":"GSE1925_3037_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages primed by IFNG [GeneID=3458]: untreated versus stimulated by IFNG [GeneID=3458] for 24h.","DESCRIPTION_FULL":"IFN-gamma transcriptional responses in control and IFN-gamma primed primary human macrophages"}
{"STANDARD_NAME":"GSE2935_UV_INACTIVATED_VS_LIVE_SENDAI_VIRUS_INF_MACROPHAGE_UP","SYSTEMATIC_NAME":"M6316","ORGANISM":"Mus musculus","PMID":"16208318","AUTHORS":"Tyner JW,Uchida O,Kajiwara N,Kim EY,Patel AC,O'Sullivan MP,Walter MJ,Schwendener RA,Cook DN,Danoff TM,Holtzman MJ","GEOID":"GSE2935","EXACT_SOURCE":"GSE2935_2664_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages: control versus Sendai virus infection.","DESCRIPTION_FULL":"Thus, mouse macrophage cultures were established from PBMCs isolated from wild-type control mice and were inoculated with SeV (Sendai virus) or UV-SeV (UV-inactivated SeV). These microarrays were performed in concert with assays of CCL5 and CCR5 expression, viral replication, and cellular apoptosis. Initial experiments indicated that wild-type mouse macrophages inoculated with SeV exhibit induction of CCL5 mRNA to the highest level of any known mouse gene product, while mRNA levels for CCL5 receptors (CCR5 as well as CCR3 and CCR1) or alternative ligands for these receptors (CCL3 and CCL4) were relatively unchanged by viral infection."}
{"STANDARD_NAME":"GSE2935_UV_INACTIVATED_VS_LIVE_SENDAI_VIRUS_INF_MACROPHAGE_DN","SYSTEMATIC_NAME":"M6317","ORGANISM":"Mus musculus","PMID":"16208318","AUTHORS":"Tyner JW,Uchida O,Kajiwara N,Kim EY,Patel AC,O'Sullivan MP,Walter MJ,Schwendener RA,Cook DN,Danoff TM,Holtzman MJ","GEOID":"GSE2935","EXACT_SOURCE":"GSE2935_2664_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages: control versus Sendai virus infection.","DESCRIPTION_FULL":"Thus, mouse macrophage cultures were established from PBMCs isolated from wild-type control mice and were inoculated with SeV (Sendai virus) or UV-SeV (UV-inactivated SeV). These microarrays were performed in concert with assays of CCL5 and CCR5 expression, viral replication, and cellular apoptosis. Initial experiments indicated that wild-type mouse macrophages inoculated with SeV exhibit induction of CCL5 mRNA to the highest level of any known mouse gene product, while mRNA levels for CCL5 receptors (CCR5 as well as CCR3 and CCR1) or alternative ligands for these receptors (CCL3 and CCL4) were relatively unchanged by viral infection."}
{"STANDARD_NAME":"GSE3565_CTRL_VS_LPS_INJECTED_DUSP1_KO_SPLENOCYTES_DN","SYSTEMATIC_NAME":"M6321","ORGANISM":"Mus musculus","PMID":"16380512","AUTHORS":"Hammer M,Mages J,Dietrich H,Servatius A,Howells N,Cato AC,Lang R","GEOID":"GSE3565","EXACT_SOURCE":"GSE3565_2621_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in spleen from DUSP1 [GeneID=1843] knockout: control versus LPS.","DESCRIPTION_FULL":"Activation of the Mitogen activated protein kinase (MAPK) cascade following Toll-like receptor (TLR) stimulation enables innate immune cells to rapidly activate cytokine gene expression. A balanced response to signals of infectious danger requires that cellular activation is transient. Here, we identify the MAPK phosphatase Dual specificity phosphatase-1 (DUSP1) as an essential endogenous regulator of the inflammatory response to LPS. DUSP1-deficient (DUSP1-/-) bone marrow derived macrophages showed selectively prolonged activation of p38 MAPK and increased cytokine production. Intraperitoneal challenge of DUSP1-/- mice with LPS caused increased lethality and overshooting production of IL-6 and TNF-alpha. Transcriptional profiling revealed that DUSP1 controls a significant fraction of LPS-induced genes, that includes IL-6 and IL-10 as well as the chemokines CCL3, CCL4 and CXCL2. In contrast, the expression of the important mediators of endotoxin lethality, IFN-gamma and IL-12, was not significantly altered by the absence of DUSP1. These data together demonstrate a specific regulatory role of DUSP1 in controlling a subset of LPS-induced genes that determines the outcome of endotoxin shock."}
{"STANDARD_NAME":"GSE3565_CTRL_VS_LPS_INJECTED_DUSP1_KO_SPLENOCYTES_UP","SYSTEMATIC_NAME":"M6323","ORGANISM":"Mus musculus","PMID":"16380512","AUTHORS":"Hammer M,Mages J,Dietrich H,Servatius A,Howells N,Cato AC,Lang R","GEOID":"GSE3565","EXACT_SOURCE":"GSE3565_2621_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in spleen from DUSP1 [GeneID=1843] knockout: control versus LPS.","DESCRIPTION_FULL":"Activation of the Mitogen activated protein kinase (MAPK) cascade following Toll-like receptor (TLR) stimulation enables innate immune cells to rapidly activate cytokine gene expression. A balanced response to signals of infectious danger requires that cellular activation is transient. Here, we identify the MAPK phosphatase Dual specificity phosphatase-1 (DUSP1) as an essential endogenous regulator of the inflammatory response to LPS. DUSP1-deficient (DUSP1-/-) bone marrow derived macrophages showed selectively prolonged activation of p38 MAPK and increased cytokine production. Intraperitoneal challenge of DUSP1-/- mice with LPS caused increased lethality and overshooting production of IL-6 and TNF-alpha. Transcriptional profiling revealed that DUSP1 controls a significant fraction of LPS-induced genes, that includes IL-6 and IL-10 as well as the chemokines CCL3, CCL4 and CXCL2. In contrast, the expression of the important mediators of endotoxin lethality, IFN-gamma and IL-12, was not significantly altered by the absence of DUSP1. These data together demonstrate a specific regulatory role of DUSP1 in controlling a subset of LPS-induced genes that determines the outcome of endotoxin shock."}
{"STANDARD_NAME":"GSE3565_DUSP1_VS_WT_SPLENOCYTES_DN","SYSTEMATIC_NAME":"M6324","ORGANISM":"Mus musculus","PMID":"16380512","AUTHORS":"Hammer M,Mages J,Dietrich H,Servatius A,Howells N,Cato AC,Lang R","GEOID":"GSE3565","EXACT_SOURCE":"GSE3565_2623_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in untreated spleen: DUSP1 [GeneID=1843] knockout versus wildtype.","DESCRIPTION_FULL":"Activation of the Mitogen activated protein kinase (MAPK) cascade following Toll-like receptor (TLR) stimulation enables innate immune cells to rapidly activate cytokine gene expression. A balanced response to signals of infectious danger requires that cellular activation is transient. Here, we identify the MAPK phosphatase Dual specificity phosphatase-1 (DUSP1) as an essential endogenous regulator of the inflammatory response to LPS. DUSP1-deficient (DUSP1-/-) bone marrow derived macrophages showed selectively prolonged activation of p38 MAPK and increased cytokine production. Intraperitoneal challenge of DUSP1-/- mice with LPS caused increased lethality and overshooting production of IL-6 and TNF-alpha. Transcriptional profiling revealed that DUSP1 controls a significant fraction of LPS-induced genes, that includes IL-6 and IL-10 as well as the chemokines CCL3, CCL4 and CXCL2. In contrast, the expression of the important mediators of endotoxin lethality, IFN-gamma and IL-12, was not significantly altered by the absence of DUSP1. These data together demonstrate a specific regulatory role of DUSP1 in controlling a subset of LPS-induced genes that determines the outcome of endotoxin shock."}
{"STANDARD_NAME":"GSE3565_CTRL_VS_LPS_INJECTED_SPLENOCYTES_UP","SYSTEMATIC_NAME":"M6326","ORGANISM":"Mus musculus","PMID":"16380512","AUTHORS":"Hammer M,Mages J,Dietrich H,Servatius A,Howells N,Cato AC,Lang R","GEOID":"GSE3565","EXACT_SOURCE":"GSE3565_2622_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in spleen from wildtype mice: control versus LPS.","DESCRIPTION_FULL":"Activation of the Mitogen activated protein kinase (MAPK) cascade following Toll-like receptor (TLR) stimulation enables innate immune cells to rapidly activate cytokine gene expression. A balanced response to signals of infectious danger requires that cellular activation is transient. Here, we identify the MAPK phosphatase Dual specificity phosphatase-1 (DUSP1) as an essential endogenous regulator of the inflammatory response to LPS. DUSP1-deficient (DUSP1-/-) bone marrow derived macrophages showed selectively prolonged activation of p38 MAPK and increased cytokine production. Intraperitoneal challenge of DUSP1-/- mice with LPS caused increased lethality and overshooting production of IL-6 and TNF-alpha. Transcriptional profiling revealed that DUSP1 controls a significant fraction of LPS-induced genes, that includes IL-6 and IL-10 as well as the chemokines CCL3, CCL4 and CXCL2. In contrast, the expression of the important mediators of endotoxin lethality, IFN-gamma and IL-12, was not significantly altered by the absence of DUSP1. These data together demonstrate a specific regulatory role of DUSP1 in controlling a subset of LPS-induced genes that determines the outcome of endotoxin shock."}
{"STANDARD_NAME":"GSE3565_CTRL_VS_LPS_INJECTED_SPLENOCYTES_DN","SYSTEMATIC_NAME":"M6328","ORGANISM":"Mus musculus","PMID":"16380512","AUTHORS":"Hammer M,Mages J,Dietrich H,Servatius A,Howells N,Cato AC,Lang R","GEOID":"GSE3565","EXACT_SOURCE":"GSE3565_2622_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in spleen from wildtype mice: control versus LPS.","DESCRIPTION_FULL":"Activation of the Mitogen activated protein kinase (MAPK) cascade following Toll-like receptor (TLR) stimulation enables innate immune cells to rapidly activate cytokine gene expression. A balanced response to signals of infectious danger requires that cellular activation is transient. Here, we identify the MAPK phosphatase Dual specificity phosphatase-1 (DUSP1) as an essential endogenous regulator of the inflammatory response to LPS. DUSP1-deficient (DUSP1-/-) bone marrow derived macrophages showed selectively prolonged activation of p38 MAPK and increased cytokine production. Intraperitoneal challenge of DUSP1-/- mice with LPS caused increased lethality and overshooting production of IL-6 and TNF-alpha. Transcriptional profiling revealed that DUSP1 controls a significant fraction of LPS-induced genes, that includes IL-6 and IL-10 as well as the chemokines CCL3, CCL4 and CXCL2. In contrast, the expression of the important mediators of endotoxin lethality, IFN-gamma and IL-12, was not significantly altered by the absence of DUSP1. These data together demonstrate a specific regulatory role of DUSP1 in controlling a subset of LPS-induced genes that determines the outcome of endotoxin shock."}
{"STANDARD_NAME":"GSE3565_DUSP1_VS_WT_SPLENOCYTES_UP","SYSTEMATIC_NAME":"M6329","ORGANISM":"Mus musculus","PMID":"16380512","AUTHORS":"Hammer M,Mages J,Dietrich H,Servatius A,Howells N,Cato AC,Lang R","GEOID":"GSE3565","EXACT_SOURCE":"GSE3565_2623_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in untreated spleen: DUSP1 [GeneID=1843] knockout versus wildtype.","DESCRIPTION_FULL":"Activation of the Mitogen activated protein kinase (MAPK) cascade following Toll-like receptor (TLR) stimulation enables innate immune cells to rapidly activate cytokine gene expression. A balanced response to signals of infectious danger requires that cellular activation is transient. Here, we identify the MAPK phosphatase Dual specificity phosphatase-1 (DUSP1) as an essential endogenous regulator of the inflammatory response to LPS. DUSP1-deficient (DUSP1-/-) bone marrow derived macrophages showed selectively prolonged activation of p38 MAPK and increased cytokine production. Intraperitoneal challenge of DUSP1-/- mice with LPS caused increased lethality and overshooting production of IL-6 and TNF-alpha. Transcriptional profiling revealed that DUSP1 controls a significant fraction of LPS-induced genes, that includes IL-6 and IL-10 as well as the chemokines CCL3, CCL4 and CXCL2. In contrast, the expression of the important mediators of endotoxin lethality, IFN-gamma and IL-12, was not significantly altered by the absence of DUSP1. These data together demonstrate a specific regulatory role of DUSP1 in controlling a subset of LPS-induced genes that determines the outcome of endotoxin shock."}
{"STANDARD_NAME":"GSE3565_DUSP1_VS_WT_SPLENOCYTES_POST_LPS_INJECTION_UP","SYSTEMATIC_NAME":"M6332","ORGANISM":"Mus musculus","PMID":"16380512","AUTHORS":"Hammer M,Mages J,Dietrich H,Servatius A,Howells N,Cato AC,Lang R","GEOID":"GSE3565","EXACT_SOURCE":"GSE3565_2624_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in spleen from mice injected with LPS: DUSP1 [GeneID=1843] knockout versus wildtype.","DESCRIPTION_FULL":"Activation of the Mitogen activated protein kinase (MAPK) cascade following Toll-like receptor (TLR) stimulation enables innate immune cells to rapidly activate cytokine gene expression. A balanced response to signals of infectious danger requires that cellular activation is transient. Here, we identify the MAPK phosphatase Dual specificity phosphatase-1 (DUSP1) as an essential endogenous regulator of the inflammatory response to LPS. DUSP1-deficient (DUSP1-/-) bone marrow derived macrophages showed selectively prolonged activation of p38 MAPK and increased cytokine production. Intraperitoneal challenge of DUSP1-/- mice with LPS caused increased lethality and overshooting production of IL-6 and TNF-alpha. Transcriptional profiling revealed that DUSP1 controls a significant fraction of LPS-induced genes, that includes IL-6 and IL-10 as well as the chemokines CCL3, CCL4 and CXCL2. In contrast, the expression of the important mediators of endotoxin lethality, IFN-gamma and IL-12, was not significantly altered by the absence of DUSP1. These data together demonstrate a specific regulatory role of DUSP1 in controlling a subset of LPS-induced genes that determines the outcome of endotoxin shock."}
{"STANDARD_NAME":"GSE3565_DUSP1_VS_WT_SPLENOCYTES_POST_LPS_INJECTION_DN","SYSTEMATIC_NAME":"M6333","ORGANISM":"Mus musculus","PMID":"16380512","AUTHORS":"Hammer M,Mages J,Dietrich H,Servatius A,Howells N,Cato AC,Lang R","GEOID":"GSE3565","EXACT_SOURCE":"GSE3565_2624_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in spleen from mice injected with LPS: DUSP1 [GeneID=1843] knockout versus wildtype.","DESCRIPTION_FULL":"Activation of the Mitogen activated protein kinase (MAPK) cascade following Toll-like receptor (TLR) stimulation enables innate immune cells to rapidly activate cytokine gene expression. A balanced response to signals of infectious danger requires that cellular activation is transient. Here, we identify the MAPK phosphatase Dual specificity phosphatase-1 (DUSP1) as an essential endogenous regulator of the inflammatory response to LPS. DUSP1-deficient (DUSP1-/-) bone marrow derived macrophages showed selectively prolonged activation of p38 MAPK and increased cytokine production. Intraperitoneal challenge of DUSP1-/- mice with LPS caused increased lethality and overshooting production of IL-6 and TNF-alpha. Transcriptional profiling revealed that DUSP1 controls a significant fraction of LPS-induced genes, that includes IL-6 and IL-10 as well as the chemokines CCL3, CCL4 and CXCL2. In contrast, the expression of the important mediators of endotoxin lethality, IFN-gamma and IL-12, was not significantly altered by the absence of DUSP1. These data together demonstrate a specific regulatory role of DUSP1 in controlling a subset of LPS-induced genes that determines the outcome of endotoxin shock."}
{"STANDARD_NAME":"GSE3720_UNSTIM_VS_LPS_STIM_VD2_GAMMADELTA_TCELL_UP","SYSTEMATIC_NAME":"M6337","ORGANISM":"Homo sapiens","PMID":"16423401","AUTHORS":"Kress E,Hedges JF,Jutila MA","GEOID":"GSE3720","EXACT_SOURCE":"GSE3720_3346_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in Vd2 gamma delta T cells: untreated versus LPS.","DESCRIPTION_FULL":"The two major human gd T cell subsets, Vd1 and Vd2, display differences in tissue tropism and agonist responses, but we have little insight into global differences that may exist at the gene expression level. This is due to the small numbers of these cells that can be obtained from healthy donors, which limit comprehensive, comparative gene expression analyses. We established a culture method that expands Vd1 and Vd2 cells from the same PBL preparation to levels sufficient for sorting and microarray analysis. Although the subsets were expanded identically (anti-TCR mAb, plus IL-15), 392 and 614 genes were identified, which were differentially expressed in the two subsets, from two donors, respectively. Approximately 4,500 genes changed in both subsets following PMA/ionomycin treatment; about 50% of these genes were subset-specific. Both subsets responded to a crude LPS preparation, but only 6% of the responsive genes were the same. The differentially expressed genes were consistent with Vd2 cells being more inflammatory and Vd1 cells having more of a regulatory phenotype. Both subsets expressed transcripts encoding an array of innate and NK cell receptors, supporting the relationship of gd T cells to the innate immune system. Our results show that circulating Vd1 and Vd2 subsets in humans have considerable, inherent differences in gene expression following treatment with non-TCR agonists, supporting unique functional roles for these cells in vivo."}
{"STANDARD_NAME":"GSE3720_UNSTIM_VS_LPS_STIM_VD2_GAMMADELTA_TCELL_DN","SYSTEMATIC_NAME":"M6338","ORGANISM":"Homo sapiens","PMID":"16423401","AUTHORS":"Kress E,Hedges JF,Jutila MA","GEOID":"GSE3720","EXACT_SOURCE":"GSE3720_3346_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in Vd2 gamma delta T cells: untreated versus LPS.","DESCRIPTION_FULL":"The two major human gd T cell subsets, Vd1 and Vd2, display differences in tissue tropism and agonist responses, but we have little insight into global differences that may exist at the gene expression level. This is due to the small numbers of these cells that can be obtained from healthy donors, which limit comprehensive, comparative gene expression analyses. We established a culture method that expands Vd1 and Vd2 cells from the same PBL preparation to levels sufficient for sorting and microarray analysis. Although the subsets were expanded identically (anti-TCR mAb, plus IL-15), 392 and 614 genes were identified, which were differentially expressed in the two subsets, from two donors, respectively. Approximately 4,500 genes changed in both subsets following PMA/ionomycin treatment; about 50% of these genes were subset-specific. Both subsets responded to a crude LPS preparation, but only 6% of the responsive genes were the same. The differentially expressed genes were consistent with Vd2 cells being more inflammatory and Vd1 cells having more of a regulatory phenotype. Both subsets expressed transcripts encoding an array of innate and NK cell receptors, supporting the relationship of gd T cells to the innate immune system. Our results show that circulating Vd1 and Vd2 subsets in humans have considerable, inherent differences in gene expression following treatment with non-TCR agonists, supporting unique functional roles for these cells in vivo."}
{"STANDARD_NAME":"GSE3720_UNSTIM_VS_PMA_STIM_VD2_GAMMADELTA_TCELL_UP","SYSTEMATIC_NAME":"M6340","ORGANISM":"Homo sapiens","PMID":"16423401","AUTHORS":"Kress E,Hedges JF,Jutila MA","GEOID":"GSE3720","EXACT_SOURCE":"GSE3720_3347_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in Vd2 gamma delta T cells: untreated versus phorbol myristate acetate and ionomycin [PubChem=4792;3733].","DESCRIPTION_FULL":"The two major human gd T cell subsets, Vd1 and Vd2, display differences in tissue tropism and agonist responses, but we have little insight into global differences that may exist at the gene expression level. This is due to the small numbers of these cells that can be obtained from healthy donors, which limit comprehensive, comparative gene expression analyses. We established a culture method that expands Vd1 and Vd2 cells from the same PBL preparation to levels sufficient for sorting and microarray analysis. Although the subsets were expanded identically (anti-TCR mAb, plus IL-15), 392 and 614 genes were identified, which were differentially expressed in the two subsets, from two donors, respectively. Approximately 4,500 genes changed in both subsets following PMA/ionomycin treatment; about 50% of these genes were subset-specific. Both subsets responded to a crude LPS preparation, but only 6% of the responsive genes were the same. The differentially expressed genes were consistent with Vd2 cells being more inflammatory and Vd1 cells having more of a regulatory phenotype. Both subsets expressed transcripts encoding an array of innate and NK cell receptors, supporting the relationship of gd T cells to the innate immune system. Our results show that circulating Vd1 and Vd2 subsets in humans have considerable, inherent differences in gene expression following treatment with non-TCR agonists, supporting unique functional roles for these cells in vivo."}
{"STANDARD_NAME":"GSE3720_UNSTIM_VS_LPS_STIM_VD1_GAMMADELTA_TCELL_DN","SYSTEMATIC_NAME":"M6341","ORGANISM":"Homo sapiens","PMID":"16423401","AUTHORS":"Kress E,Hedges JF,Jutila MA","GEOID":"GSE3720","EXACT_SOURCE":"GSE3720_3343_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in Vd1 gamma delta T cells: untreated versus LPS.","DESCRIPTION_FULL":"The two major human gd T cell subsets, Vd1 and Vd2, display differences in tissue tropism and agonist responses, but we have little insight into global differences that may exist at the gene expression level. This is due to the small numbers of these cells that can be obtained from healthy donors, which limit comprehensive, comparative gene expression analyses. We established a culture method that expands Vd1 and Vd2 cells from the same PBL preparation to levels sufficient for sorting and microarray analysis. Although the subsets were expanded identically (anti-TCR mAb, plus IL-15), 392 and 614 genes were identified, which were differentially expressed in the two subsets, from two donors, respectively. Approximately 4,500 genes changed in both subsets following PMA/ionomycin treatment; about 50% of these genes were subset-specific. Both subsets responded to a crude LPS preparation, but only 6% of the responsive genes were the same. The differentially expressed genes were consistent with Vd2 cells being more inflammatory and Vd1 cells having more of a regulatory phenotype. Both subsets expressed transcripts encoding an array of innate and NK cell receptors, supporting the relationship of gd T cells to the innate immune system. Our results show that circulating Vd1 and Vd2 subsets in humans have considerable, inherent differences in gene expression following treatment with non-TCR agonists, supporting unique functional roles for these cells in vivo."}
{"STANDARD_NAME":"GSE3720_UNSTIM_VS_PMA_STIM_VD1_GAMMADELTA_TCELL_UP","SYSTEMATIC_NAME":"M6343","ORGANISM":"Homo sapiens","PMID":"16423401","AUTHORS":"Kress E,Hedges JF,Jutila MA","GEOID":"GSE3720","EXACT_SOURCE":"GSE3720_3344_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in Vd1 gamma delta T cells: untreated versus phorbol myristate acetate and ionomycin [PubChem=4792;3733].","DESCRIPTION_FULL":"The two major human gd T cell subsets, Vd1 and Vd2, display differences in tissue tropism and agonist responses, but we have little insight into global differences that may exist at the gene expression level. This is due to the small numbers of these cells that can be obtained from healthy donors, which limit comprehensive, comparative gene expression analyses. We established a culture method that expands Vd1 and Vd2 cells from the same PBL preparation to levels sufficient for sorting and microarray analysis. Although the subsets were expanded identically (anti-TCR mAb, plus IL-15), 392 and 614 genes were identified, which were differentially expressed in the two subsets, from two donors, respectively. Approximately 4,500 genes changed in both subsets following PMA/ionomycin treatment; about 50% of these genes were subset-specific. Both subsets responded to a crude LPS preparation, but only 6% of the responsive genes were the same. The differentially expressed genes were consistent with Vd2 cells being more inflammatory and Vd1 cells having more of a regulatory phenotype. Both subsets expressed transcripts encoding an array of innate and NK cell receptors, supporting the relationship of gd T cells to the innate immune system. Our results show that circulating Vd1 and Vd2 subsets in humans have considerable, inherent differences in gene expression following treatment with non-TCR agonists, supporting unique functional roles for these cells in vivo."}
{"STANDARD_NAME":"GSE3720_UNSTIM_VS_PMA_STIM_VD1_GAMMADELTA_TCELL_DN","SYSTEMATIC_NAME":"M6344","ORGANISM":"Homo sapiens","PMID":"16423401","AUTHORS":"Kress E,Hedges JF,Jutila MA","GEOID":"GSE3720","EXACT_SOURCE":"GSE3720_3344_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in Vd1 gamma delta T cells: untreated versus phorbol myristate acetate and ionomycin [PubChem=4792;3733].","DESCRIPTION_FULL":"The two major human gd T cell subsets, Vd1 and Vd2, display differences in tissue tropism and agonist responses, but we have little insight into global differences that may exist at the gene expression level. This is due to the small numbers of these cells that can be obtained from healthy donors, which limit comprehensive, comparative gene expression analyses. We established a culture method that expands Vd1 and Vd2 cells from the same PBL preparation to levels sufficient for sorting and microarray analysis. Although the subsets were expanded identically (anti-TCR mAb, plus IL-15), 392 and 614 genes were identified, which were differentially expressed in the two subsets, from two donors, respectively. Approximately 4,500 genes changed in both subsets following PMA/ionomycin treatment; about 50% of these genes were subset-specific. Both subsets responded to a crude LPS preparation, but only 6% of the responsive genes were the same. The differentially expressed genes were consistent with Vd2 cells being more inflammatory and Vd1 cells having more of a regulatory phenotype. Both subsets expressed transcripts encoding an array of innate and NK cell receptors, supporting the relationship of gd T cells to the innate immune system. Our results show that circulating Vd1 and Vd2 subsets in humans have considerable, inherent differences in gene expression following treatment with non-TCR agonists, supporting unique functional roles for these cells in vivo."}
{"STANDARD_NAME":"GSE3720_LPS_VS_PMA_STIM_VD1_GAMMADELTA_TCELL_DN","SYSTEMATIC_NAME":"M6345","ORGANISM":"Homo sapiens","PMID":"16423401","AUTHORS":"Kress E,Hedges JF,Jutila MA","GEOID":"GSE3720","EXACT_SOURCE":"GSE3720_3345_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in Vd1 gamma delta T cells: LPS versus phorbol myristate acetate and ionomycin [PubChem=4792;3733].","DESCRIPTION_FULL":"The two major human gd T cell subsets, Vd1 and Vd2, display differences in tissue tropism and agonist responses, but we have little insight into global differences that may exist at the gene expression level. This is due to the small numbers of these cells that can be obtained from healthy donors, which limit comprehensive, comparative gene expression analyses. We established a culture method that expands Vd1 and Vd2 cells from the same PBL preparation to levels sufficient for sorting and microarray analysis. Although the subsets were expanded identically (anti-TCR mAb, plus IL-15), 392 and 614 genes were identified, which were differentially expressed in the two subsets, from two donors, respectively. Approximately 4,500 genes changed in both subsets following PMA/ionomycin treatment; about 50% of these genes were subset-specific. Both subsets responded to a crude LPS preparation, but only 6% of the responsive genes were the same. The differentially expressed genes were consistent with Vd2 cells being more inflammatory and Vd1 cells having more of a regulatory phenotype. Both subsets expressed transcripts encoding an array of innate and NK cell receptors, supporting the relationship of gd T cells to the innate immune system. Our results show that circulating Vd1 and Vd2 subsets in humans have considerable, inherent differences in gene expression following treatment with non-TCR agonists, supporting unique functional roles for these cells in vivo."}
{"STANDARD_NAME":"GSE3720_LPS_VS_PMA_STIM_VD2_GAMMADELTA_TCELL_UP","SYSTEMATIC_NAME":"M6346","ORGANISM":"Homo sapiens","PMID":"16423401","AUTHORS":"Kress E,Hedges JF,Jutila MA","GEOID":"GSE3720","EXACT_SOURCE":"GSE3720_3348_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in Vd2 gamma delta T cells: LPS versus phorbol myristate acetate and ionomycin [PubChem=4792;3733].","DESCRIPTION_FULL":"The two major human gd T cell subsets, Vd1 and Vd2, display differences in tissue tropism and agonist responses, but we have little insight into global differences that may exist at the gene expression level. This is due to the small numbers of these cells that can be obtained from healthy donors, which limit comprehensive, comparative gene expression analyses. We established a culture method that expands Vd1 and Vd2 cells from the same PBL preparation to levels sufficient for sorting and microarray analysis. Although the subsets were expanded identically (anti-TCR mAb, plus IL-15), 392 and 614 genes were identified, which were differentially expressed in the two subsets, from two donors, respectively. Approximately 4,500 genes changed in both subsets following PMA/ionomycin treatment; about 50% of these genes were subset-specific. Both subsets responded to a crude LPS preparation, but only 6% of the responsive genes were the same. The differentially expressed genes were consistent with Vd2 cells being more inflammatory and Vd1 cells having more of a regulatory phenotype. Both subsets expressed transcripts encoding an array of innate and NK cell receptors, supporting the relationship of gd T cells to the innate immune system. Our results show that circulating Vd1 and Vd2 subsets in humans have considerable, inherent differences in gene expression following treatment with non-TCR agonists, supporting unique functional roles for these cells in vivo."}
{"STANDARD_NAME":"GSE3720_LPS_VS_PMA_STIM_VD2_GAMMADELTA_TCELL_DN","SYSTEMATIC_NAME":"M6347","ORGANISM":"Homo sapiens","PMID":"16423401","AUTHORS":"Kress E,Hedges JF,Jutila MA","GEOID":"GSE3720","EXACT_SOURCE":"GSE3720_3348_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in Vd2 gamma delta T cells: LPS versus phorbol myristate acetate and ionomycin [PubChem=4792;3733].","DESCRIPTION_FULL":"The two major human gd T cell subsets, Vd1 and Vd2, display differences in tissue tropism and agonist responses, but we have little insight into global differences that may exist at the gene expression level. This is due to the small numbers of these cells that can be obtained from healthy donors, which limit comprehensive, comparative gene expression analyses. We established a culture method that expands Vd1 and Vd2 cells from the same PBL preparation to levels sufficient for sorting and microarray analysis. Although the subsets were expanded identically (anti-TCR mAb, plus IL-15), 392 and 614 genes were identified, which were differentially expressed in the two subsets, from two donors, respectively. Approximately 4,500 genes changed in both subsets following PMA/ionomycin treatment; about 50% of these genes were subset-specific. Both subsets responded to a crude LPS preparation, but only 6% of the responsive genes were the same. The differentially expressed genes were consistent with Vd2 cells being more inflammatory and Vd1 cells having more of a regulatory phenotype. Both subsets expressed transcripts encoding an array of innate and NK cell receptors, supporting the relationship of gd T cells to the innate immune system. Our results show that circulating Vd1 and Vd2 subsets in humans have considerable, inherent differences in gene expression following treatment with non-TCR agonists, supporting unique functional roles for these cells in vivo."}
{"STANDARD_NAME":"GSE3720_LPS_VS_PMA_STIM_VD1_GAMMADELTA_TCELL_UP","SYSTEMATIC_NAME":"M6348","ORGANISM":"Homo sapiens","PMID":"16423401","AUTHORS":"Kress E,Hedges JF,Jutila MA","GEOID":"GSE3720","EXACT_SOURCE":"GSE3720_3345_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in Vd1 gamma delta T cells: LPS versus phorbol myristate acetate and ionomycin [PubChem=4792;3733].","DESCRIPTION_FULL":"The two major human gd T cell subsets, Vd1 and Vd2, display differences in tissue tropism and agonist responses, but we have little insight into global differences that may exist at the gene expression level. This is due to the small numbers of these cells that can be obtained from healthy donors, which limit comprehensive, comparative gene expression analyses. We established a culture method that expands Vd1 and Vd2 cells from the same PBL preparation to levels sufficient for sorting and microarray analysis. Although the subsets were expanded identically (anti-TCR mAb, plus IL-15), 392 and 614 genes were identified, which were differentially expressed in the two subsets, from two donors, respectively. Approximately 4,500 genes changed in both subsets following PMA/ionomycin treatment; about 50% of these genes were subset-specific. Both subsets responded to a crude LPS preparation, but only 6% of the responsive genes were the same. The differentially expressed genes were consistent with Vd2 cells being more inflammatory and Vd1 cells having more of a regulatory phenotype. Both subsets expressed transcripts encoding an array of innate and NK cell receptors, supporting the relationship of gd T cells to the innate immune system. Our results show that circulating Vd1 and Vd2 subsets in humans have considerable, inherent differences in gene expression following treatment with non-TCR agonists, supporting unique functional roles for these cells in vivo."}
{"STANDARD_NAME":"GSE3720_UNSTIM_VS_PMA_STIM_VD2_GAMMADELTA_TCELL_DN","SYSTEMATIC_NAME":"M6351","ORGANISM":"Homo sapiens","PMID":"16423401","AUTHORS":"Kress E,Hedges JF,Jutila MA","GEOID":"GSE3720","EXACT_SOURCE":"GSE3720_3347_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in Vd2 gamma delta T cells: untreated versus phorbol myristate acetate and ionomycin [PubChem=4792;3733].","DESCRIPTION_FULL":"The two major human gd T cell subsets, Vd1 and Vd2, display differences in tissue tropism and agonist responses, but we have little insight into global differences that may exist at the gene expression level. This is due to the small numbers of these cells that can be obtained from healthy donors, which limit comprehensive, comparative gene expression analyses. We established a culture method that expands Vd1 and Vd2 cells from the same PBL preparation to levels sufficient for sorting and microarray analysis. Although the subsets were expanded identically (anti-TCR mAb, plus IL-15), 392 and 614 genes were identified, which were differentially expressed in the two subsets, from two donors, respectively. Approximately 4,500 genes changed in both subsets following PMA/ionomycin treatment; about 50% of these genes were subset-specific. Both subsets responded to a crude LPS preparation, but only 6% of the responsive genes were the same. The differentially expressed genes were consistent with Vd2 cells being more inflammatory and Vd1 cells having more of a regulatory phenotype. Both subsets expressed transcripts encoding an array of innate and NK cell receptors, supporting the relationship of gd T cells to the innate immune system. Our results show that circulating Vd1 and Vd2 subsets in humans have considerable, inherent differences in gene expression following treatment with non-TCR agonists, supporting unique functional roles for these cells in vivo."}
{"STANDARD_NAME":"GSE3720_VD1_VS_VD2_GAMMADELTA_TCELL_WITH_LPS_STIM_UP","SYSTEMATIC_NAME":"M6352","ORGANISM":"Homo sapiens","PMID":"16423401","AUTHORS":"Kress E,Hedges JF,Jutila MA","GEOID":"GSE3720","EXACT_SOURCE":"GSE3720_3350_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in gamma delta T cells stimulated by LPS: Vd1 versus Vd2.","DESCRIPTION_FULL":"The two major human gd T cell subsets, Vd1 and Vd2, display differences in tissue tropism and agonist responses, but we have little insight into global differences that may exist at the gene expression level. This is due to the small numbers of these cells that can be obtained from healthy donors, which limit comprehensive, comparative gene expression analyses. We established a culture method that expands Vd1 and Vd2 cells from the same PBL preparation to levels sufficient for sorting and microarray analysis. Although the subsets were expanded identically (anti-TCR mAb, plus IL-15), 392 and 614 genes were identified, which were differentially expressed in the two subsets, from two donors, respectively. Approximately 4,500 genes changed in both subsets following PMA/ionomycin treatment; about 50% of these genes were subset-specific. Both subsets responded to a crude LPS preparation, but only 6% of the responsive genes were the same. The differentially expressed genes were consistent with Vd2 cells being more inflammatory and Vd1 cells having more of a regulatory phenotype. Both subsets expressed transcripts encoding an array of innate and NK cell receptors, supporting the relationship of gd T cells to the innate immune system. Our results show that circulating Vd1 and Vd2 subsets in humans have considerable, inherent differences in gene expression following treatment with non-TCR agonists, supporting unique functional roles for these cells in vivo."}
{"STANDARD_NAME":"GSE3720_VD1_VS_VD2_GAMMADELTA_TCELL_WITH_LPS_STIM_DN","SYSTEMATIC_NAME":"M6354","ORGANISM":"Homo sapiens","PMID":"16423401","AUTHORS":"Kress E,Hedges JF,Jutila MA","GEOID":"GSE3720","EXACT_SOURCE":"GSE3720_3350_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in gamma delta T cells stimulated by LPS: Vd1 versus Vd2.","DESCRIPTION_FULL":"The two major human gd T cell subsets, Vd1 and Vd2, display differences in tissue tropism and agonist responses, but we have little insight into global differences that may exist at the gene expression level. This is due to the small numbers of these cells that can be obtained from healthy donors, which limit comprehensive, comparative gene expression analyses. We established a culture method that expands Vd1 and Vd2 cells from the same PBL preparation to levels sufficient for sorting and microarray analysis. Although the subsets were expanded identically (anti-TCR mAb, plus IL-15), 392 and 614 genes were identified, which were differentially expressed in the two subsets, from two donors, respectively. Approximately 4,500 genes changed in both subsets following PMA/ionomycin treatment; about 50% of these genes were subset-specific. Both subsets responded to a crude LPS preparation, but only 6% of the responsive genes were the same. The differentially expressed genes were consistent with Vd2 cells being more inflammatory and Vd1 cells having more of a regulatory phenotype. Both subsets expressed transcripts encoding an array of innate and NK cell receptors, supporting the relationship of gd T cells to the innate immune system. Our results show that circulating Vd1 and Vd2 subsets in humans have considerable, inherent differences in gene expression following treatment with non-TCR agonists, supporting unique functional roles for these cells in vivo."}
{"STANDARD_NAME":"GSE3720_VD1_VS_VD2_GAMMADELTA_TCELL_WITH_PMA_STIM_UP","SYSTEMATIC_NAME":"M6356","ORGANISM":"Homo sapiens","PMID":"16423401","AUTHORS":"Kress E,Hedges JF,Jutila MA","GEOID":"GSE3720","EXACT_SOURCE":"GSE3720_3351_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in gamma delta T cells stimulated by phorbol myristate acetate and ionomycin [PubChem=4792;3733]: Vd1 versus Vd2.","DESCRIPTION_FULL":"The two major human gd T cell subsets, Vd1 and Vd2, display differences in tissue tropism and agonist responses, but we have little insight into global differences that may exist at the gene expression level. This is due to the small numbers of these cells that can be obtained from healthy donors, which limit comprehensive, comparative gene expression analyses. We established a culture method that expands Vd1 and Vd2 cells from the same PBL preparation to levels sufficient for sorting and microarray analysis. Although the subsets were expanded identically (anti-TCR mAb, plus IL-15), 392 and 614 genes were identified, which were differentially expressed in the two subsets, from two donors, respectively. Approximately 4,500 genes changed in both subsets following PMA/ionomycin treatment; about 50% of these genes were subset-specific. Both subsets responded to a crude LPS preparation, but only 6% of the responsive genes were the same. The differentially expressed genes were consistent with Vd2 cells being more inflammatory and Vd1 cells having more of a regulatory phenotype. Both subsets expressed transcripts encoding an array of innate and NK cell receptors, supporting the relationship of gd T cells to the innate immune system. Our results show that circulating Vd1 and Vd2 subsets in humans have considerable, inherent differences in gene expression following treatment with non-TCR agonists, supporting unique functional roles for these cells in vivo."}
{"STANDARD_NAME":"GSE3720_UNSTIM_VS_LPS_STIM_VD1_GAMMADELTA_TCELL_UP","SYSTEMATIC_NAME":"M6357","ORGANISM":"Homo sapiens","PMID":"16423401","AUTHORS":"Kress E,Hedges JF,Jutila MA","GEOID":"GSE3720","EXACT_SOURCE":"GSE3720_3343_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in Vd1 gamma delta T cells: untreated versus LPS.","DESCRIPTION_FULL":"The two major human gd T cell subsets, Vd1 and Vd2, display differences in tissue tropism and agonist responses, but we have little insight into global differences that may exist at the gene expression level. This is due to the small numbers of these cells that can be obtained from healthy donors, which limit comprehensive, comparative gene expression analyses. We established a culture method that expands Vd1 and Vd2 cells from the same PBL preparation to levels sufficient for sorting and microarray analysis. Although the subsets were expanded identically (anti-TCR mAb, plus IL-15), 392 and 614 genes were identified, which were differentially expressed in the two subsets, from two donors, respectively. Approximately 4,500 genes changed in both subsets following PMA/ionomycin treatment; about 50% of these genes were subset-specific. Both subsets responded to a crude LPS preparation, but only 6% of the responsive genes were the same. The differentially expressed genes were consistent with Vd2 cells being more inflammatory and Vd1 cells having more of a regulatory phenotype. Both subsets expressed transcripts encoding an array of innate and NK cell receptors, supporting the relationship of gd T cells to the innate immune system. Our results show that circulating Vd1 and Vd2 subsets in humans have considerable, inherent differences in gene expression following treatment with non-TCR agonists, supporting unique functional roles for these cells in vivo."}
{"STANDARD_NAME":"GSE3720_VD1_VS_VD2_GAMMADELTA_TCELL_DN","SYSTEMATIC_NAME":"M6358","ORGANISM":"Homo sapiens","PMID":"16423401","AUTHORS":"Kress E,Hedges JF,Jutila MA","GEOID":"GSE3720","EXACT_SOURCE":"GSE3720_3349_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in gamma delta T cells: Vd1 versus Vd2.","DESCRIPTION_FULL":"The two major human gd T cell subsets, Vd1 and Vd2, display differences in tissue tropism and agonist responses, but we have little insight into global differences that may exist at the gene expression level. This is due to the small numbers of these cells that can be obtained from healthy donors, which limit comprehensive, comparative gene expression analyses. We established a culture method that expands Vd1 and Vd2 cells from the same PBL preparation to levels sufficient for sorting and microarray analysis. Although the subsets were expanded identically (anti-TCR mAb, plus IL-15), 392 and 614 genes were identified, which were differentially expressed in the two subsets, from two donors, respectively. Approximately 4,500 genes changed in both subsets following PMA/ionomycin treatment; about 50% of these genes were subset-specific. Both subsets responded to a crude LPS preparation, but only 6% of the responsive genes were the same. The differentially expressed genes were consistent with Vd2 cells being more inflammatory and Vd1 cells having more of a regulatory phenotype. Both subsets expressed transcripts encoding an array of innate and NK cell receptors, supporting the relationship of gd T cells to the innate immune system. Our results show that circulating Vd1 and Vd2 subsets in humans have considerable, inherent differences in gene expression following treatment with non-TCR agonists, supporting unique functional roles for these cells in vivo."}
{"STANDARD_NAME":"GSE3720_VD1_VS_VD2_GAMMADELTA_TCELL_WITH_PMA_STIM_DN","SYSTEMATIC_NAME":"M6360","ORGANISM":"Homo sapiens","PMID":"16423401","AUTHORS":"Kress E,Hedges JF,Jutila MA","GEOID":"GSE3720","EXACT_SOURCE":"GSE3720_3351_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in gamma delta T cells stimulated by phorbol myristate acetate and ionomycin [PubChem=4792;3733]: Vd1 versus Vd2.","DESCRIPTION_FULL":"The two major human gd T cell subsets, Vd1 and Vd2, display differences in tissue tropism and agonist responses, but we have little insight into global differences that may exist at the gene expression level. This is due to the small numbers of these cells that can be obtained from healthy donors, which limit comprehensive, comparative gene expression analyses. We established a culture method that expands Vd1 and Vd2 cells from the same PBL preparation to levels sufficient for sorting and microarray analysis. Although the subsets were expanded identically (anti-TCR mAb, plus IL-15), 392 and 614 genes were identified, which were differentially expressed in the two subsets, from two donors, respectively. Approximately 4,500 genes changed in both subsets following PMA/ionomycin treatment; about 50% of these genes were subset-specific. Both subsets responded to a crude LPS preparation, but only 6% of the responsive genes were the same. The differentially expressed genes were consistent with Vd2 cells being more inflammatory and Vd1 cells having more of a regulatory phenotype. Both subsets expressed transcripts encoding an array of innate and NK cell receptors, supporting the relationship of gd T cells to the innate immune system. Our results show that circulating Vd1 and Vd2 subsets in humans have considerable, inherent differences in gene expression following treatment with non-TCR agonists, supporting unique functional roles for these cells in vivo."}
{"STANDARD_NAME":"GSE3720_VD1_VS_VD2_GAMMADELTA_TCELL_UP","SYSTEMATIC_NAME":"M6361","ORGANISM":"Homo sapiens","PMID":"16423401","AUTHORS":"Kress E,Hedges JF,Jutila MA","GEOID":"GSE3720","EXACT_SOURCE":"GSE3720_3349_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in gamma delta T cells: Vd1 versus Vd2.","DESCRIPTION_FULL":"The two major human gd T cell subsets, Vd1 and Vd2, display differences in tissue tropism and agonist responses, but we have little insight into global differences that may exist at the gene expression level. This is due to the small numbers of these cells that can be obtained from healthy donors, which limit comprehensive, comparative gene expression analyses. We established a culture method that expands Vd1 and Vd2 cells from the same PBL preparation to levels sufficient for sorting and microarray analysis. Although the subsets were expanded identically (anti-TCR mAb, plus IL-15), 392 and 614 genes were identified, which were differentially expressed in the two subsets, from two donors, respectively. Approximately 4,500 genes changed in both subsets following PMA/ionomycin treatment; about 50% of these genes were subset-specific. Both subsets responded to a crude LPS preparation, but only 6% of the responsive genes were the same. The differentially expressed genes were consistent with Vd2 cells being more inflammatory and Vd1 cells having more of a regulatory phenotype. Both subsets expressed transcripts encoding an array of innate and NK cell receptors, supporting the relationship of gd T cells to the innate immune system. Our results show that circulating Vd1 and Vd2 subsets in humans have considerable, inherent differences in gene expression following treatment with non-TCR agonists, supporting unique functional roles for these cells in vivo."}
{"STANDARD_NAME":"GSE3691_IFN_PRODUCING_KILLER_DC_VS_CONVENTIONAL_DC_SPLEEN_UP","SYSTEMATIC_NAME":"M6363","ORGANISM":"Mus musculus","PMID":"16444266","AUTHORS":"Chan CW,Crafton E,Fan HN,Flook J,Yoshimura K,Skarica M,Brockstedt D,Dubensky TW,Stins MF,Lanier LL,Pardoll DM,Housseau F","GEOID":"GSE3691","EXACT_SOURCE":"GSE3691_2655_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in dendiritic cells from speen: interferon producing killer cells versus conventional.","DESCRIPTION_FULL":"To characterize differences between BALB/c splenic CD11cintB220+Gr1+ PDCs (plasmacytoid dendritic cells), CD11cintB220+CD49b+ IKDCs (interferon producing killer-dendritic cells), and CD11chighB220- cDCs (conventional dendritic cells), we performed gene expression profile analysis using Affymetrix chips. We FACS-sorted BALB/c spleen DC subpopulations. Comparison of differentially expressed genes between IKDCs and cDCs vividly revealed selective expression of multiple NK-related genes in IKDCs . These included granzymes A, B, K and M, perforin, Fas ligand, and NK receptors such as NKG2A, NKG2D, Ly49 family genes, NKR-P1, NKG7, NKp46 and Mafa (KLRG1). No NK-related genes were highly expressed in the PDCs."}
{"STANDARD_NAME":"GSE3691_IFN_PRODUCING_KILLER_DC_VS_PLASMACYTOID_DC_SPLEEN_DN","SYSTEMATIC_NAME":"M6365","ORGANISM":"Mus musculus","PMID":"16444266","AUTHORS":"Chan CW,Crafton E,Fan HN,Flook J,Yoshimura K,Skarica M,Brockstedt D,Dubensky TW,Stins MF,Lanier LL,Pardoll DM,Housseau F","GEOID":"GSE3691","EXACT_SOURCE":"GSE3691_2656_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in dendiritic cells from speen: interferon producing killer cells versus plasmacytoid.","DESCRIPTION_FULL":"To characterize differences between BALB/c splenic CD11cintB220+Gr1+ PDCs (plasmacytoid dendritic cells), CD11cintB220+CD49b+ IKDCs (interferon producing killer-dendritic cells), and CD11chighB220- cDCs (conventional dendritic cells), we performed gene expression profile analysis using Affymetrix chips. We FACS-sorted BALB/c spleen DC subpopulations. Comparison of differentially expressed genes between IKDCs and cDCs vividly revealed selective expression of multiple NK-related genes in IKDCs . These included granzymes A, B, K and M, perforin, Fas ligand, and NK receptors such as NKG2A, NKG2D, Ly49 family genes, NKR-P1, NKG7, NKp46 and Mafa (KLRG1). No NK-related genes were highly expressed in the PDCs."}
{"STANDARD_NAME":"GSE3691_IFN_PRODUCING_KILLER_DC_VS_CONVENTIONAL_DC_SPLEEN_DN","SYSTEMATIC_NAME":"M6366","ORGANISM":"Mus musculus","PMID":"16444266","AUTHORS":"Chan CW,Crafton E,Fan HN,Flook J,Yoshimura K,Skarica M,Brockstedt D,Dubensky TW,Stins MF,Lanier LL,Pardoll DM,Housseau F","GEOID":"GSE3691","EXACT_SOURCE":"GSE3691_2655_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in dendiritic cells from speen: interferon producing killer cells versus conventional.","DESCRIPTION_FULL":"To characterize differences between BALB/c splenic CD11cintB220+Gr1+ PDCs (plasmacytoid dendritic cells), CD11cintB220+CD49b+ IKDCs (interferon producing killer-dendritic cells), and CD11chighB220- cDCs (conventional dendritic cells), we performed gene expression profile analysis using Affymetrix chips. We FACS-sorted BALB/c spleen DC subpopulations. Comparison of differentially expressed genes between IKDCs and cDCs vividly revealed selective expression of multiple NK-related genes in IKDCs . These included granzymes A, B, K and M, perforin, Fas ligand, and NK receptors such as NKG2A, NKG2D, Ly49 family genes, NKR-P1, NKG7, NKp46 and Mafa (KLRG1). No NK-related genes were highly expressed in the PDCs."}
{"STANDARD_NAME":"GSE3691_IFN_PRODUCING_KILLER_DC_VS_PLASMACYTOID_DC_SPLEEN_UP","SYSTEMATIC_NAME":"M6367","ORGANISM":"Mus musculus","PMID":"16444266","AUTHORS":"Chan CW,Crafton E,Fan HN,Flook J,Yoshimura K,Skarica M,Brockstedt D,Dubensky TW,Stins MF,Lanier LL,Pardoll DM,Housseau F","GEOID":"GSE3691","EXACT_SOURCE":"GSE3691_2656_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in dendiritic cells from speen: interferon producing killer cells versus plasmacytoid.","DESCRIPTION_FULL":"To characterize differences between BALB/c splenic CD11cintB220+Gr1+ PDCs (plasmacytoid dendritic cells), CD11cintB220+CD49b+ IKDCs (interferon producing killer-dendritic cells), and CD11chighB220- cDCs (conventional dendritic cells), we performed gene expression profile analysis using Affymetrix chips. We FACS-sorted BALB/c spleen DC subpopulations. Comparison of differentially expressed genes between IKDCs and cDCs vividly revealed selective expression of multiple NK-related genes in IKDCs . These included granzymes A, B, K and M, perforin, Fas ligand, and NK receptors such as NKG2A, NKG2D, Ly49 family genes, NKR-P1, NKG7, NKp46 and Mafa (KLRG1). No NK-related genes were highly expressed in the PDCs."}
{"STANDARD_NAME":"GSE3691_CONVENTIONAL_VS_PLASMACYTOID_DC_SPLEEN_DN","SYSTEMATIC_NAME":"M6368","ORGANISM":"Mus musculus","PMID":"16444266","AUTHORS":"Chan CW,Crafton E,Fan HN,Flook J,Yoshimura K,Skarica M,Brockstedt D,Dubensky TW,Stins MF,Lanier LL,Pardoll DM,Housseau F","GEOID":"GSE3691","EXACT_SOURCE":"GSE3691_2657_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in dendiritic cells from speen: conventional versus plasmacytoid.","DESCRIPTION_FULL":"To characterize differences between BALB/c splenic CD11cintB220+Gr1+ PDCs (plasmacytoid dendritic cells), CD11cintB220+CD49b+ IKDCs (interferon producing killer-dendritic cells), and CD11chighB220- cDCs (conventional dendritic cells), we performed gene expression profile analysis using Affymetrix chips. We FACS-sorted BALB/c spleen DC subpopulations. Comparison of differentially expressed genes between IKDCs and cDCs vividly revealed selective expression of multiple NK-related genes in IKDCs . These included granzymes A, B, K and M, perforin, Fas ligand, and NK receptors such as NKG2A, NKG2D, Ly49 family genes, NKR-P1, NKG7, NKp46 and Mafa (KLRG1). No NK-related genes were highly expressed in the PDCs."}
{"STANDARD_NAME":"GSE3691_CONVENTIONAL_VS_PLASMACYTOID_DC_SPLEEN_UP","SYSTEMATIC_NAME":"M6369","ORGANISM":"Mus musculus","PMID":"16444266","AUTHORS":"Chan CW,Crafton E,Fan HN,Flook J,Yoshimura K,Skarica M,Brockstedt D,Dubensky TW,Stins MF,Lanier LL,Pardoll DM,Housseau F","GEOID":"GSE3691","EXACT_SOURCE":"GSE3691_2657_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in dendiritic cells from speen: conventional versus plasmacytoid.","DESCRIPTION_FULL":"To characterize differences between BALB/c splenic CD11cintB220+Gr1+ PDCs (plasmacytoid dendritic cells), CD11cintB220+CD49b+ IKDCs (interferon producing killer-dendritic cells), and CD11chighB220- cDCs (conventional dendritic cells), we performed gene expression profile analysis using Affymetrix chips. We FACS-sorted BALB/c spleen DC subpopulations. Comparison of differentially expressed genes between IKDCs and cDCs vividly revealed selective expression of multiple NK-related genes in IKDCs . These included granzymes A, B, K and M, perforin, Fas ligand, and NK receptors such as NKG2A, NKG2D, Ly49 family genes, NKR-P1, NKG7, NKp46 and Mafa (KLRG1). No NK-related genes were highly expressed in the PDCs."}
{"STANDARD_NAME":"GSE3994_WT_VS_PAC1_KO_ACTIVATED_MAST_CELL_UP","SYSTEMATIC_NAME":"M6371","ORGANISM":"Mus musculus","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR","GEOID":"GSE3994","EXACT_SOURCE":"GSE3994_2711_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived mast cells: wildtype versus ADCYAP1R1 [GeneID=117] knockout.","DESCRIPTION_FULL":"Bone marrow-derived mast cells were differentiated over 4-6 weeks using bone marrow from Pac-1+/+ and Pac1-/- littermate mice. Cell purity was 99% c-kit and Fc epsilon receptor positive as assessed by flow cytometry. Cells were stimulated by Fc epsilon receptor crosslinking using IgE-DNP/HSA for sensitization for 18 hours and DNP-HSA antigen for crosslinking for 2 hours. Gene transcript abundance was determined and scaled to 150 using alogorithms in MicroArray Analysis Suite Software 5.0 (Affymetrix)."}
{"STANDARD_NAME":"GSE3994_WT_VS_PAC1_KO_ACTIVATED_MAST_CELL_DN","SYSTEMATIC_NAME":"M6372","ORGANISM":"Mus musculus","PMID":"16474395","AUTHORS":"Jeffrey KL,Brummer T,Rolph MS,Liu SM,Callejas NA,Grumont RJ,Gillieron C,Mackay F,Grey S,Camps M,Rommel C,Gerondakis SD,Mackay CR","GEOID":"GSE3994","EXACT_SOURCE":"GSE3994_2711_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived mast cells: wildtype versus ADCYAP1R1 [GeneID=117] knockout.","DESCRIPTION_FULL":"Bone marrow-derived mast cells were differentiated over 4-6 weeks using bone marrow from Pac-1+/+ and Pac1-/- littermate mice. Cell purity was 99% c-kit and Fc epsilon receptor positive as assessed by flow cytometry. Cells were stimulated by Fc epsilon receptor crosslinking using IgE-DNP/HSA for sensitization for 18 hours and DNP-HSA antigen for crosslinking for 2 hours. Gene transcript abundance was determined and scaled to 150 using alogorithms in MicroArray Analysis Suite Software 5.0 (Affymetrix)."}
{"STANDARD_NAME":"GSE4142_NAIVE_BCELL_VS_PLASMA_CELL_DN","SYSTEMATIC_NAME":"M6374","ORGANISM":"Mus musculus","PMID":"16492737","AUTHORS":"Luckey CJ,Bhattacharya D,Goldrath AW,Weissman IL,Benoist C,Mathis D","GEOID":"GSE4142","EXACT_SOURCE":"GSE4142_3222_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in naïve B lymphocytes versus plasma cells.","DESCRIPTION_FULL":"In order to better understand the factors that regulate B cell differentiation upon exposure to antigen, we compares global gene expression profiles from naive B cells with antigen-specific plasma, germinal center, and memory B cells after immunization with the T-dependent antigen, NP-CGG. The memory B cell-enriched transcripts were then compared with memory T cell-enriched and hematopoietic stem cell-enriched transcripts in order to generate a transcriptional profile of self-renewal within the hematopoietic system."}
{"STANDARD_NAME":"GSE4142_NAIVE_VS_GC_BCELL_UP","SYSTEMATIC_NAME":"M6375","ORGANISM":"Mus musculus","PMID":"16492737","AUTHORS":"Luckey CJ,Bhattacharya D,Goldrath AW,Weissman IL,Benoist C,Mathis D","GEOID":"GSE4142","EXACT_SOURCE":"GSE4142_3223_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in B lymphocytes: naïve versus germinal center.","DESCRIPTION_FULL":"In order to better understand the factors that regulate B cell differentiation upon exposure to antigen, we compares global gene expression profiles from naive B cells with antigen-specific plasma, germinal center, and memory B cells after immunization with the T-dependent antigen, NP-CGG. The memory B cell-enriched transcripts were then compared with memory T cell-enriched and hematopoietic stem cell-enriched transcripts in order to generate a transcriptional profile of self-renewal within the hematopoietic system."}
{"STANDARD_NAME":"GSE4142_NAIVE_VS_GC_BCELL_DN","SYSTEMATIC_NAME":"M6377","ORGANISM":"Mus musculus","PMID":"16492737","AUTHORS":"Luckey CJ,Bhattacharya D,Goldrath AW,Weissman IL,Benoist C,Mathis D","GEOID":"GSE4142","EXACT_SOURCE":"GSE4142_3223_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in B lymphocytes: naïve versus germinal center.","DESCRIPTION_FULL":"In order to better understand the factors that regulate B cell differentiation upon exposure to antigen, we compares global gene expression profiles from naive B cells with antigen-specific plasma, germinal center, and memory B cells after immunization with the T-dependent antigen, NP-CGG. The memory B cell-enriched transcripts were then compared with memory T cell-enriched and hematopoietic stem cell-enriched transcripts in order to generate a transcriptional profile of self-renewal within the hematopoietic system."}
{"STANDARD_NAME":"GSE4142_NAIVE_BCELL_VS_PLASMA_CELL_UP","SYSTEMATIC_NAME":"M6381","ORGANISM":"Mus musculus","PMID":"16492737","AUTHORS":"Luckey CJ,Bhattacharya D,Goldrath AW,Weissman IL,Benoist C,Mathis D","GEOID":"GSE4142","EXACT_SOURCE":"GSE4142_3222_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in naïve B lymphocytes versus plasma cells.","DESCRIPTION_FULL":"In order to better understand the factors that regulate B cell differentiation upon exposure to antigen, we compares global gene expression profiles from naive B cells with antigen-specific plasma, germinal center, and memory B cells after immunization with the T-dependent antigen, NP-CGG. The memory B cell-enriched transcripts were then compared with memory T cell-enriched and hematopoietic stem cell-enriched transcripts in order to generate a transcriptional profile of self-renewal within the hematopoietic system."}
{"STANDARD_NAME":"GSE4142_PLASMA_CELL_VS_GC_BCELL_DN","SYSTEMATIC_NAME":"M6385","ORGANISM":"Mus musculus","PMID":"16492737","AUTHORS":"Luckey CJ,Bhattacharya D,Goldrath AW,Weissman IL,Benoist C,Mathis D","GEOID":"GSE4142","EXACT_SOURCE":"GSE4142_3225_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in plasma cells versus germinal center B lymphocytes.","DESCRIPTION_FULL":"In order to better understand the factors that regulate B cell differentiation upon exposure to antigen, we compares global gene expression profiles from naive B cells with antigen-specific plasma, germinal center, and memory B cells after immunization with the T-dependent antigen, NP-CGG. The memory B cell-enriched transcripts were then compared with memory T cell-enriched and hematopoietic stem cell-enriched transcripts in order to generate a transcriptional profile of self-renewal within the hematopoietic system."}
{"STANDARD_NAME":"GSE4142_NAIVE_VS_MEMORY_BCELL_UP","SYSTEMATIC_NAME":"M6388","ORGANISM":"Mus musculus","PMID":"16492737","AUTHORS":"Luckey CJ,Bhattacharya D,Goldrath AW,Weissman IL,Benoist C,Mathis D","GEOID":"GSE4142","EXACT_SOURCE":"GSE4142_3224_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in B lymphocytes: naïve versus memory.","DESCRIPTION_FULL":"In order to better understand the factors that regulate B cell differentiation upon exposure to antigen, we compares global gene expression profiles from naive B cells with antigen-specific plasma, germinal center, and memory B cells after immunization with the T-dependent antigen, NP-CGG. The memory B cell-enriched transcripts were then compared with memory T cell-enriched and hematopoietic stem cell-enriched transcripts in order to generate a transcriptional profile of self-renewal within the hematopoietic system."}
{"STANDARD_NAME":"GSE4142_NAIVE_VS_MEMORY_BCELL_DN","SYSTEMATIC_NAME":"M6389","ORGANISM":"Mus musculus","PMID":"16492737","AUTHORS":"Luckey CJ,Bhattacharya D,Goldrath AW,Weissman IL,Benoist C,Mathis D","GEOID":"GSE4142","EXACT_SOURCE":"GSE4142_3224_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in B lymphocytes: naïve versus memory.","DESCRIPTION_FULL":"In order to better understand the factors that regulate B cell differentiation upon exposure to antigen, we compares global gene expression profiles from naive B cells with antigen-specific plasma, germinal center, and memory B cells after immunization with the T-dependent antigen, NP-CGG. The memory B cell-enriched transcripts were then compared with memory T cell-enriched and hematopoietic stem cell-enriched transcripts in order to generate a transcriptional profile of self-renewal within the hematopoietic system."}
{"STANDARD_NAME":"GSE4142_PLASMA_CELL_VS_GC_BCELL_UP","SYSTEMATIC_NAME":"M6390","ORGANISM":"Mus musculus","PMID":"16492737","AUTHORS":"Luckey CJ,Bhattacharya D,Goldrath AW,Weissman IL,Benoist C,Mathis D","GEOID":"GSE4142","EXACT_SOURCE":"GSE4142_3225_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in plasma cells versus germinal center B lymphocytes.","DESCRIPTION_FULL":"In order to better understand the factors that regulate B cell differentiation upon exposure to antigen, we compares global gene expression profiles from naive B cells with antigen-specific plasma, germinal center, and memory B cells after immunization with the T-dependent antigen, NP-CGG. The memory B cell-enriched transcripts were then compared with memory T cell-enriched and hematopoietic stem cell-enriched transcripts in order to generate a transcriptional profile of self-renewal within the hematopoietic system."}
{"STANDARD_NAME":"GSE4142_GC_BCELL_VS_MEMORY_BCELL_DN","SYSTEMATIC_NAME":"M6393","ORGANISM":"Mus musculus","PMID":"16492737","AUTHORS":"Luckey CJ,Bhattacharya D,Goldrath AW,Weissman IL,Benoist C,Mathis D","GEOID":"GSE4142","EXACT_SOURCE":"GSE4142_3227_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in B lymphocytes: germinal center versus memory.","DESCRIPTION_FULL":"In order to better understand the factors that regulate B cell differentiation upon exposure to antigen, we compares global gene expression profiles from naive B cells with antigen-specific plasma, germinal center, and memory B cells after immunization with the T-dependent antigen, NP-CGG. The memory B cell-enriched transcripts were then compared with memory T cell-enriched and hematopoietic stem cell-enriched transcripts in order to generate a transcriptional profile of self-renewal within the hematopoietic system."}
{"STANDARD_NAME":"GSE4142_PLASMA_CELL_VS_MEMORY_BCELL_UP","SYSTEMATIC_NAME":"M6395","ORGANISM":"Mus musculus","PMID":"16492737","AUTHORS":"Luckey CJ,Bhattacharya D,Goldrath AW,Weissman IL,Benoist C,Mathis D","GEOID":"GSE4142","EXACT_SOURCE":"GSE4142_3226_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in plasma cells versus memory B lymphocytes.","DESCRIPTION_FULL":"In order to better understand the factors that regulate B cell differentiation upon exposure to antigen, we compares global gene expression profiles from naive B cells with antigen-specific plasma, germinal center, and memory B cells after immunization with the T-dependent antigen, NP-CGG. The memory B cell-enriched transcripts were then compared with memory T cell-enriched and hematopoietic stem cell-enriched transcripts in order to generate a transcriptional profile of self-renewal within the hematopoietic system."}
{"STANDARD_NAME":"GSE4142_PLASMA_CELL_VS_MEMORY_BCELL_DN","SYSTEMATIC_NAME":"M6396","ORGANISM":"Mus musculus","PMID":"16492737","AUTHORS":"Luckey CJ,Bhattacharya D,Goldrath AW,Weissman IL,Benoist C,Mathis D","GEOID":"GSE4142","EXACT_SOURCE":"GSE4142_3226_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in plasma cells versus memory B lymphocytes.","DESCRIPTION_FULL":"In order to better understand the factors that regulate B cell differentiation upon exposure to antigen, we compares global gene expression profiles from naive B cells with antigen-specific plasma, germinal center, and memory B cells after immunization with the T-dependent antigen, NP-CGG. The memory B cell-enriched transcripts were then compared with memory T cell-enriched and hematopoietic stem cell-enriched transcripts in order to generate a transcriptional profile of self-renewal within the hematopoietic system."}
{"STANDARD_NAME":"GSE4142_GC_BCELL_VS_MEMORY_BCELL_UP","SYSTEMATIC_NAME":"M6397","ORGANISM":"Mus musculus","PMID":"16492737","AUTHORS":"Luckey CJ,Bhattacharya D,Goldrath AW,Weissman IL,Benoist C,Mathis D","GEOID":"GSE4142","EXACT_SOURCE":"GSE4142_3227_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in B lymphocytes: germinal center versus memory.","DESCRIPTION_FULL":"In order to better understand the factors that regulate B cell differentiation upon exposure to antigen, we compares global gene expression profiles from naive B cells with antigen-specific plasma, germinal center, and memory B cells after immunization with the T-dependent antigen, NP-CGG. The memory B cell-enriched transcripts were then compared with memory T cell-enriched and hematopoietic stem cell-enriched transcripts in order to generate a transcriptional profile of self-renewal within the hematopoietic system."}
{"STANDARD_NAME":"GSE8921_UNSTIM_0H_VS_TLR1_2_STIM_MONOCYTE_3H_UP","SYSTEMATIC_NAME":"M6398","ORGANISM":"Homo sapiens","PMID":"16497887","AUTHORS":"Liu PT,Stenger S,Li H,Wenzel L,Tan BH,Krutzik SR,Ochoa MT,Schauber J,Wu K,Meinken C,Kamen DL,Wagner M,Bals R,Steinmeyer A,Zügel U,Gallo RL,Eisenberg D,Hewison M,Hollis BW,Adams JS,Bloom BR,Modlin RL","GEOID":"GSE8921","EXACT_SOURCE":"GSE8921_3121_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in monocytes: untreated versus M. tuberculosis 19 kDa lipopeptide (3h).","DESCRIPTION_FULL":"In innate immune responses, activation of Toll-like receptors (TLRs) triggers direct antimicrobial activity against intracellular bacteria, which in murine, but not human, monocytes and macrophages is mediated principally by nitric oxide. We report here that TLR activation of human macrophages up-regulated expression of the vitamin D receptor and the vitamin D-1-hydroxylase genes, leading to induction of the antimicrobial peptide cathelicidin and killing of intracellular Mycobacterium tuberculosis. We also observed that sera from African-American individuals, known to have increased susceptibility to tuberculosis, had low 25-hydroxyvitamin D and were inefficient in supporting cathelicidin messenger RNA induction. These data support a link between TLRs and vitamin D-mediated innate immunity and suggest that differences in ability of human populations to produce vitamin D may contribute to susceptibility to microbial infection. "}
{"STANDARD_NAME":"GSE8921_UNSTIM_0H_VS_TLR1_2_STIM_MONOCYTE_3H_DN","SYSTEMATIC_NAME":"M6399","ORGANISM":"Homo sapiens","PMID":"16497887","AUTHORS":"Liu PT,Stenger S,Li H,Wenzel L,Tan BH,Krutzik SR,Ochoa MT,Schauber J,Wu K,Meinken C,Kamen DL,Wagner M,Bals R,Steinmeyer A,Zügel U,Gallo RL,Eisenberg D,Hewison M,Hollis BW,Adams JS,Bloom BR,Modlin RL","GEOID":"GSE8921","EXACT_SOURCE":"GSE8921_3121_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in monocytes: untreated versus M. tuberculosis 19 kDa lipopeptide (3h).","DESCRIPTION_FULL":"In innate immune responses, activation of Toll-like receptors (TLRs) triggers direct antimicrobial activity against intracellular bacteria, which in murine, but not human, monocytes and macrophages is mediated principally by nitric oxide. We report here that TLR activation of human macrophages up-regulated expression of the vitamin D receptor and the vitamin D-1-hydroxylase genes, leading to induction of the antimicrobial peptide cathelicidin and killing of intracellular Mycobacterium tuberculosis. We also observed that sera from African-American individuals, known to have increased susceptibility to tuberculosis, had low 25-hydroxyvitamin D and were inefficient in supporting cathelicidin messenger RNA induction. These data support a link between TLRs and vitamin D-mediated innate immunity and suggest that differences in ability of human populations to produce vitamin D may contribute to susceptibility to microbial infection. "}
{"STANDARD_NAME":"GSE8921_UNSTIM_0H_VS_TLR1_2_STIM_MONOCYTE_6H_UP","SYSTEMATIC_NAME":"M6403","ORGANISM":"Homo sapiens","PMID":"16497887","AUTHORS":"Liu PT,Stenger S,Li H,Wenzel L,Tan BH,Krutzik SR,Ochoa MT,Schauber J,Wu K,Meinken C,Kamen DL,Wagner M,Bals R,Steinmeyer A,Zügel U,Gallo RL,Eisenberg D,Hewison M,Hollis BW,Adams JS,Bloom BR,Modlin RL","GEOID":"GSE8921","EXACT_SOURCE":"GSE8921_3122_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in monocytes: untreated versus M. tuberculosis 19 kDa lipopeptide (6h).","DESCRIPTION_FULL":"In innate immune responses, activation of Toll-like receptors (TLRs) triggers direct antimicrobial activity against intracellular bacteria, which in murine, but not human, monocytes and macrophages is mediated principally by nitric oxide. We report here that TLR activation of human macrophages up-regulated expression of the vitamin D receptor and the vitamin D-1-hydroxylase genes, leading to induction of the antimicrobial peptide cathelicidin and killing of intracellular Mycobacterium tuberculosis. We also observed that sera from African-American individuals, known to have increased susceptibility to tuberculosis, had low 25-hydroxyvitamin D and were inefficient in supporting cathelicidin messenger RNA induction. These data support a link between TLRs and vitamin D-mediated innate immunity and suggest that differences in ability of human populations to produce vitamin D may contribute to susceptibility to microbial infection. "}
{"STANDARD_NAME":"GSE8921_UNSTIM_0H_VS_TLR1_2_STIM_MONOCYTE_6H_DN","SYSTEMATIC_NAME":"M6404","ORGANISM":"Homo sapiens","PMID":"16497887","AUTHORS":"Liu PT,Stenger S,Li H,Wenzel L,Tan BH,Krutzik SR,Ochoa MT,Schauber J,Wu K,Meinken C,Kamen DL,Wagner M,Bals R,Steinmeyer A,Zügel U,Gallo RL,Eisenberg D,Hewison M,Hollis BW,Adams JS,Bloom BR,Modlin RL","GEOID":"GSE8921","EXACT_SOURCE":"GSE8921_3122_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in monocytes: untreated versus M. tuberculosis 19 kDa lipopeptide (6h).","DESCRIPTION_FULL":"In innate immune responses, activation of Toll-like receptors (TLRs) triggers direct antimicrobial activity against intracellular bacteria, which in murine, but not human, monocytes and macrophages is mediated principally by nitric oxide. We report here that TLR activation of human macrophages up-regulated expression of the vitamin D receptor and the vitamin D-1-hydroxylase genes, leading to induction of the antimicrobial peptide cathelicidin and killing of intracellular Mycobacterium tuberculosis. We also observed that sera from African-American individuals, known to have increased susceptibility to tuberculosis, had low 25-hydroxyvitamin D and were inefficient in supporting cathelicidin messenger RNA induction. These data support a link between TLRs and vitamin D-mediated innate immunity and suggest that differences in ability of human populations to produce vitamin D may contribute to susceptibility to microbial infection. "}
{"STANDARD_NAME":"GSE8921_UNSTIM_0H_VS_TLR1_2_STIM_MONOCYTE_12H_UP","SYSTEMATIC_NAME":"M6406","ORGANISM":"Homo sapiens","PMID":"16497887","AUTHORS":"Liu PT,Stenger S,Li H,Wenzel L,Tan BH,Krutzik SR,Ochoa MT,Schauber J,Wu K,Meinken C,Kamen DL,Wagner M,Bals R,Steinmeyer A,Zügel U,Gallo RL,Eisenberg D,Hewison M,Hollis BW,Adams JS,Bloom BR,Modlin RL","GEOID":"GSE8921","EXACT_SOURCE":"GSE8921_3123_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in monocytes: untreated versus M. tuberculosis 19 kDa lipopeptide (12h).","DESCRIPTION_FULL":"In innate immune responses, activation of Toll-like receptors (TLRs) triggers direct antimicrobial activity against intracellular bacteria, which in murine, but not human, monocytes and macrophages is mediated principally by nitric oxide. We report here that TLR activation of human macrophages up-regulated expression of the vitamin D receptor and the vitamin D-1-hydroxylase genes, leading to induction of the antimicrobial peptide cathelicidin and killing of intracellular Mycobacterium tuberculosis. We also observed that sera from African-American individuals, known to have increased susceptibility to tuberculosis, had low 25-hydroxyvitamin D and were inefficient in supporting cathelicidin messenger RNA induction. These data support a link between TLRs and vitamin D-mediated innate immunity and suggest that differences in ability of human populations to produce vitamin D may contribute to susceptibility to microbial infection. "}
{"STANDARD_NAME":"GSE8921_UNSTIM_0H_VS_TLR1_2_STIM_MONOCYTE_12H_DN","SYSTEMATIC_NAME":"M6408","ORGANISM":"Homo sapiens","PMID":"16497887","AUTHORS":"Liu PT,Stenger S,Li H,Wenzel L,Tan BH,Krutzik SR,Ochoa MT,Schauber J,Wu K,Meinken C,Kamen DL,Wagner M,Bals R,Steinmeyer A,Zügel U,Gallo RL,Eisenberg D,Hewison M,Hollis BW,Adams JS,Bloom BR,Modlin RL","GEOID":"GSE8921","EXACT_SOURCE":"GSE8921_3123_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in monocytes: untreated versus M. tuberculosis 19 kDa lipopeptide (12h).","DESCRIPTION_FULL":"In innate immune responses, activation of Toll-like receptors (TLRs) triggers direct antimicrobial activity against intracellular bacteria, which in murine, but not human, monocytes and macrophages is mediated principally by nitric oxide. We report here that TLR activation of human macrophages up-regulated expression of the vitamin D receptor and the vitamin D-1-hydroxylase genes, leading to induction of the antimicrobial peptide cathelicidin and killing of intracellular Mycobacterium tuberculosis. We also observed that sera from African-American individuals, known to have increased susceptibility to tuberculosis, had low 25-hydroxyvitamin D and were inefficient in supporting cathelicidin messenger RNA induction. These data support a link between TLRs and vitamin D-mediated innate immunity and suggest that differences in ability of human populations to produce vitamin D may contribute to susceptibility to microbial infection. "}
{"STANDARD_NAME":"GSE8921_UNSTIM_0H_VS_TLR1_2_STIM_MONOCYTE_24H_UP","SYSTEMATIC_NAME":"M6410","ORGANISM":"Homo sapiens","PMID":"16497887","AUTHORS":"Liu PT,Stenger S,Li H,Wenzel L,Tan BH,Krutzik SR,Ochoa MT,Schauber J,Wu K,Meinken C,Kamen DL,Wagner M,Bals R,Steinmeyer A,Zügel U,Gallo RL,Eisenberg D,Hewison M,Hollis BW,Adams JS,Bloom BR,Modlin RL","GEOID":"GSE8921","EXACT_SOURCE":"GSE8921_3124_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in monocytes: untreated versus M. tuberculosis 19 kDa lipopeptide (24h).","DESCRIPTION_FULL":"In innate immune responses, activation of Toll-like receptors (TLRs) triggers direct antimicrobial activity against intracellular bacteria, which in murine, but not human, monocytes and macrophages is mediated principally by nitric oxide. We report here that TLR activation of human macrophages up-regulated expression of the vitamin D receptor and the vitamin D-1-hydroxylase genes, leading to induction of the antimicrobial peptide cathelicidin and killing of intracellular Mycobacterium tuberculosis. We also observed that sera from African-American individuals, known to have increased susceptibility to tuberculosis, had low 25-hydroxyvitamin D and were inefficient in supporting cathelicidin messenger RNA induction. These data support a link between TLRs and vitamin D-mediated innate immunity and suggest that differences in ability of human populations to produce vitamin D may contribute to susceptibility to microbial infection. "}
{"STANDARD_NAME":"GSE8921_UNSTIM_0H_VS_TLR1_2_STIM_MONOCYTE_24H_DN","SYSTEMATIC_NAME":"M6411","ORGANISM":"Homo sapiens","PMID":"16497887","AUTHORS":"Liu PT,Stenger S,Li H,Wenzel L,Tan BH,Krutzik SR,Ochoa MT,Schauber J,Wu K,Meinken C,Kamen DL,Wagner M,Bals R,Steinmeyer A,Zügel U,Gallo RL,Eisenberg D,Hewison M,Hollis BW,Adams JS,Bloom BR,Modlin RL","GEOID":"GSE8921","EXACT_SOURCE":"GSE8921_3124_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in monocytes: untreated versus M. tuberculosis 19 kDa lipopeptide (24h).","DESCRIPTION_FULL":"In innate immune responses, activation of Toll-like receptors (TLRs) triggers direct antimicrobial activity against intracellular bacteria, which in murine, but not human, monocytes and macrophages is mediated principally by nitric oxide. We report here that TLR activation of human macrophages up-regulated expression of the vitamin D receptor and the vitamin D-1-hydroxylase genes, leading to induction of the antimicrobial peptide cathelicidin and killing of intracellular Mycobacterium tuberculosis. We also observed that sera from African-American individuals, known to have increased susceptibility to tuberculosis, had low 25-hydroxyvitamin D and were inefficient in supporting cathelicidin messenger RNA induction. These data support a link between TLRs and vitamin D-mediated innate immunity and suggest that differences in ability of human populations to produce vitamin D may contribute to susceptibility to microbial infection. "}
{"STANDARD_NAME":"GSE8921_UNSTIM_VS_TLR1_2_STIM_MONOCYTE_3H_UP","SYSTEMATIC_NAME":"M6412","ORGANISM":"Homo sapiens","PMID":"16497887","AUTHORS":"Liu PT,Stenger S,Li H,Wenzel L,Tan BH,Krutzik SR,Ochoa MT,Schauber J,Wu K,Meinken C,Kamen DL,Wagner M,Bals R,Steinmeyer A,Zügel U,Gallo RL,Eisenberg D,Hewison M,Hollis BW,Adams JS,Bloom BR,Modlin RL","GEOID":"GSE8921","EXACT_SOURCE":"GSE8921_3125_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in monocytes (3h): untreated versus M. tuberculosis 19 kDa lipopeptide.","DESCRIPTION_FULL":"In innate immune responses, activation of Toll-like receptors (TLRs) triggers direct antimicrobial activity against intracellular bacteria, which in murine, but not human, monocytes and macrophages is mediated principally by nitric oxide. We report here that TLR activation of human macrophages up-regulated expression of the vitamin D receptor and the vitamin D-1-hydroxylase genes, leading to induction of the antimicrobial peptide cathelicidin and killing of intracellular Mycobacterium tuberculosis. We also observed that sera from African-American individuals, known to have increased susceptibility to tuberculosis, had low 25-hydroxyvitamin D and were inefficient in supporting cathelicidin messenger RNA induction. These data support a link between TLRs and vitamin D-mediated innate immunity and suggest that differences in ability of human populations to produce vitamin D may contribute to susceptibility to microbial infection. "}
{"STANDARD_NAME":"GSE8921_UNSTIM_VS_TLR1_2_STIM_MONOCYTE_3H_DN","SYSTEMATIC_NAME":"M6414","ORGANISM":"Homo sapiens","PMID":"16497887","AUTHORS":"Liu PT,Stenger S,Li H,Wenzel L,Tan BH,Krutzik SR,Ochoa MT,Schauber J,Wu K,Meinken C,Kamen DL,Wagner M,Bals R,Steinmeyer A,Zügel U,Gallo RL,Eisenberg D,Hewison M,Hollis BW,Adams JS,Bloom BR,Modlin RL","GEOID":"GSE8921","EXACT_SOURCE":"GSE8921_3125_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in monocytes (3h): untreated versus M. tuberculosis 19 kDa lipopeptide.","DESCRIPTION_FULL":"In innate immune responses, activation of Toll-like receptors (TLRs) triggers direct antimicrobial activity against intracellular bacteria, which in murine, but not human, monocytes and macrophages is mediated principally by nitric oxide. We report here that TLR activation of human macrophages up-regulated expression of the vitamin D receptor and the vitamin D-1-hydroxylase genes, leading to induction of the antimicrobial peptide cathelicidin and killing of intracellular Mycobacterium tuberculosis. We also observed that sera from African-American individuals, known to have increased susceptibility to tuberculosis, had low 25-hydroxyvitamin D and were inefficient in supporting cathelicidin messenger RNA induction. These data support a link between TLRs and vitamin D-mediated innate immunity and suggest that differences in ability of human populations to produce vitamin D may contribute to susceptibility to microbial infection. "}
{"STANDARD_NAME":"GSE8921_UNSTIM_VS_TLR1_2_STIM_MONOCYTE_6H_UP","SYSTEMATIC_NAME":"M6415","ORGANISM":"Homo sapiens","PMID":"16497887","AUTHORS":"Liu PT,Stenger S,Li H,Wenzel L,Tan BH,Krutzik SR,Ochoa MT,Schauber J,Wu K,Meinken C,Kamen DL,Wagner M,Bals R,Steinmeyer A,Zügel U,Gallo RL,Eisenberg D,Hewison M,Hollis BW,Adams JS,Bloom BR,Modlin RL","GEOID":"GSE8921","EXACT_SOURCE":"GSE8921_3126_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in monocytes (6h): untreated versus M. tuberculosis 19 kDa lipopeptide.","DESCRIPTION_FULL":"In innate immune responses, activation of Toll-like receptors (TLRs) triggers direct antimicrobial activity against intracellular bacteria, which in murine, but not human, monocytes and macrophages is mediated principally by nitric oxide. We report here that TLR activation of human macrophages up-regulated expression of the vitamin D receptor and the vitamin D-1-hydroxylase genes, leading to induction of the antimicrobial peptide cathelicidin and killing of intracellular Mycobacterium tuberculosis. We also observed that sera from African-American individuals, known to have increased susceptibility to tuberculosis, had low 25-hydroxyvitamin D and were inefficient in supporting cathelicidin messenger RNA induction. These data support a link between TLRs and vitamin D-mediated innate immunity and suggest that differences in ability of human populations to produce vitamin D may contribute to susceptibility to microbial infection. "}
{"STANDARD_NAME":"GSE8921_UNSTIM_VS_TLR1_2_STIM_MONOCYTE_6H_DN","SYSTEMATIC_NAME":"M6417","ORGANISM":"Homo sapiens","PMID":"16497887","AUTHORS":"Liu PT,Stenger S,Li H,Wenzel L,Tan BH,Krutzik SR,Ochoa MT,Schauber J,Wu K,Meinken C,Kamen DL,Wagner M,Bals R,Steinmeyer A,Zügel U,Gallo RL,Eisenberg D,Hewison M,Hollis BW,Adams JS,Bloom BR,Modlin RL","GEOID":"GSE8921","EXACT_SOURCE":"GSE8921_3126_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in monocytes (6h): untreated versus M. tuberculosis 19 kDa lipopeptide.","DESCRIPTION_FULL":"In innate immune responses, activation of Toll-like receptors (TLRs) triggers direct antimicrobial activity against intracellular bacteria, which in murine, but not human, monocytes and macrophages is mediated principally by nitric oxide. We report here that TLR activation of human macrophages up-regulated expression of the vitamin D receptor and the vitamin D-1-hydroxylase genes, leading to induction of the antimicrobial peptide cathelicidin and killing of intracellular Mycobacterium tuberculosis. We also observed that sera from African-American individuals, known to have increased susceptibility to tuberculosis, had low 25-hydroxyvitamin D and were inefficient in supporting cathelicidin messenger RNA induction. These data support a link between TLRs and vitamin D-mediated innate immunity and suggest that differences in ability of human populations to produce vitamin D may contribute to susceptibility to microbial infection. "}
{"STANDARD_NAME":"GSE8921_UNSTIM_VS_TLR1_2_STIM_MONOCYTE_12H_UP","SYSTEMATIC_NAME":"M6418","ORGANISM":"Homo sapiens","PMID":"16497887","AUTHORS":"Liu PT,Stenger S,Li H,Wenzel L,Tan BH,Krutzik SR,Ochoa MT,Schauber J,Wu K,Meinken C,Kamen DL,Wagner M,Bals R,Steinmeyer A,Zügel U,Gallo RL,Eisenberg D,Hewison M,Hollis BW,Adams JS,Bloom BR,Modlin RL","GEOID":"GSE8921","EXACT_SOURCE":"GSE8921_3127_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in monocytes (12h): untreated versus M. tuberculosis 19 kDa lipopeptide.","DESCRIPTION_FULL":"In innate immune responses, activation of Toll-like receptors (TLRs) triggers direct antimicrobial activity against intracellular bacteria, which in murine, but not human, monocytes and macrophages is mediated principally by nitric oxide. We report here that TLR activation of human macrophages up-regulated expression of the vitamin D receptor and the vitamin D-1-hydroxylase genes, leading to induction of the antimicrobial peptide cathelicidin and killing of intracellular Mycobacterium tuberculosis. We also observed that sera from African-American individuals, known to have increased susceptibility to tuberculosis, had low 25-hydroxyvitamin D and were inefficient in supporting cathelicidin messenger RNA induction. These data support a link between TLRs and vitamin D-mediated innate immunity and suggest that differences in ability of human populations to produce vitamin D may contribute to susceptibility to microbial infection. "}
{"STANDARD_NAME":"GSE8921_UNSTIM_VS_TLR1_2_STIM_MONOCYTE_12H_DN","SYSTEMATIC_NAME":"M6419","ORGANISM":"Homo sapiens","PMID":"16497887","AUTHORS":"Liu PT,Stenger S,Li H,Wenzel L,Tan BH,Krutzik SR,Ochoa MT,Schauber J,Wu K,Meinken C,Kamen DL,Wagner M,Bals R,Steinmeyer A,Zügel U,Gallo RL,Eisenberg D,Hewison M,Hollis BW,Adams JS,Bloom BR,Modlin RL","GEOID":"GSE8921","EXACT_SOURCE":"GSE8921_3127_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in monocytes (12h): untreated versus M. tuberculosis 19 kDa lipopeptide.","DESCRIPTION_FULL":"In innate immune responses, activation of Toll-like receptors (TLRs) triggers direct antimicrobial activity against intracellular bacteria, which in murine, but not human, monocytes and macrophages is mediated principally by nitric oxide. We report here that TLR activation of human macrophages up-regulated expression of the vitamin D receptor and the vitamin D-1-hydroxylase genes, leading to induction of the antimicrobial peptide cathelicidin and killing of intracellular Mycobacterium tuberculosis. We also observed that sera from African-American individuals, known to have increased susceptibility to tuberculosis, had low 25-hydroxyvitamin D and were inefficient in supporting cathelicidin messenger RNA induction. These data support a link between TLRs and vitamin D-mediated innate immunity and suggest that differences in ability of human populations to produce vitamin D may contribute to susceptibility to microbial infection. "}
{"STANDARD_NAME":"GSE8921_UNSTIM_VS_TLR1_2_STIM_MONOCYTE_24H_UP","SYSTEMATIC_NAME":"M6420","ORGANISM":"Homo sapiens","PMID":"16497887","AUTHORS":"Liu PT,Stenger S,Li H,Wenzel L,Tan BH,Krutzik SR,Ochoa MT,Schauber J,Wu K,Meinken C,Kamen DL,Wagner M,Bals R,Steinmeyer A,Zügel U,Gallo RL,Eisenberg D,Hewison M,Hollis BW,Adams JS,Bloom BR,Modlin RL","GEOID":"GSE8921","EXACT_SOURCE":"GSE8921_3128_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in monocytes (24h): untreated versus M. tuberculosis 19 kDa lipopeptide.","DESCRIPTION_FULL":"In innate immune responses, activation of Toll-like receptors (TLRs) triggers direct antimicrobial activity against intracellular bacteria, which in murine, but not human, monocytes and macrophages is mediated principally by nitric oxide. We report here that TLR activation of human macrophages up-regulated expression of the vitamin D receptor and the vitamin D-1-hydroxylase genes, leading to induction of the antimicrobial peptide cathelicidin and killing of intracellular Mycobacterium tuberculosis. We also observed that sera from African-American individuals, known to have increased susceptibility to tuberculosis, had low 25-hydroxyvitamin D and were inefficient in supporting cathelicidin messenger RNA induction. These data support a link between TLRs and vitamin D-mediated innate immunity and suggest that differences in ability of human populations to produce vitamin D may contribute to susceptibility to microbial infection. "}
{"STANDARD_NAME":"GSE8921_UNSTIM_VS_TLR1_2_STIM_MONOCYTE_24H_DN","SYSTEMATIC_NAME":"M6421","ORGANISM":"Homo sapiens","PMID":"16497887","AUTHORS":"Liu PT,Stenger S,Li H,Wenzel L,Tan BH,Krutzik SR,Ochoa MT,Schauber J,Wu K,Meinken C,Kamen DL,Wagner M,Bals R,Steinmeyer A,Zügel U,Gallo RL,Eisenberg D,Hewison M,Hollis BW,Adams JS,Bloom BR,Modlin RL","GEOID":"GSE8921","EXACT_SOURCE":"GSE8921_3128_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in monocytes (24h): untreated versus M. tuberculosis 19 kDa lipopeptide.","DESCRIPTION_FULL":"In innate immune responses, activation of Toll-like receptors (TLRs) triggers direct antimicrobial activity against intracellular bacteria, which in murine, but not human, monocytes and macrophages is mediated principally by nitric oxide. We report here that TLR activation of human macrophages up-regulated expression of the vitamin D receptor and the vitamin D-1-hydroxylase genes, leading to induction of the antimicrobial peptide cathelicidin and killing of intracellular Mycobacterium tuberculosis. We also observed that sera from African-American individuals, known to have increased susceptibility to tuberculosis, had low 25-hydroxyvitamin D and were inefficient in supporting cathelicidin messenger RNA induction. These data support a link between TLRs and vitamin D-mediated innate immunity and suggest that differences in ability of human populations to produce vitamin D may contribute to susceptibility to microbial infection. "}
{"STANDARD_NAME":"GSE8921_3H_VS_24H_TLR1_2_STIM_MONOCYTE_UP","SYSTEMATIC_NAME":"M6424","ORGANISM":"Homo sapiens","PMID":"16497887","AUTHORS":"Liu PT,Stenger S,Li H,Wenzel L,Tan BH,Krutzik SR,Ochoa MT,Schauber J,Wu K,Meinken C,Kamen DL,Wagner M,Bals R,Steinmeyer A,Zügel U,Gallo RL,Eisenberg D,Hewison M,Hollis BW,Adams JS,Bloom BR,Modlin RL","GEOID":"GSE8921","EXACT_SOURCE":"GSE8921_3129_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in monocytes in response to M. tuberculosis 19 kDa lipopeptide: 3h versus 24h.","DESCRIPTION_FULL":"In innate immune responses, activation of Toll-like receptors (TLRs) triggers direct antimicrobial activity against intracellular bacteria, which in murine, but not human, monocytes and macrophages is mediated principally by nitric oxide. We report here that TLR activation of human macrophages up-regulated expression of the vitamin D receptor and the vitamin D-1-hydroxylase genes, leading to induction of the antimicrobial peptide cathelicidin and killing of intracellular Mycobacterium tuberculosis. We also observed that sera from African-American individuals, known to have increased susceptibility to tuberculosis, had low 25-hydroxyvitamin D and were inefficient in supporting cathelicidin messenger RNA induction. These data support a link between TLRs and vitamin D-mediated innate immunity and suggest that differences in ability of human populations to produce vitamin D may contribute to susceptibility to microbial infection. "}
{"STANDARD_NAME":"GSE8921_3H_VS_24H_TLR1_2_STIM_MONOCYTE_DN","SYSTEMATIC_NAME":"M6425","ORGANISM":"Homo sapiens","PMID":"16497887","AUTHORS":"Liu PT,Stenger S,Li H,Wenzel L,Tan BH,Krutzik SR,Ochoa MT,Schauber J,Wu K,Meinken C,Kamen DL,Wagner M,Bals R,Steinmeyer A,Zügel U,Gallo RL,Eisenberg D,Hewison M,Hollis BW,Adams JS,Bloom BR,Modlin RL","GEOID":"GSE8921","EXACT_SOURCE":"GSE8921_3129_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in monocytes in response to M. tuberculosis 19 kDa lipopeptide: 3h versus 24h.","DESCRIPTION_FULL":"In innate immune responses, activation of Toll-like receptors (TLRs) triggers direct antimicrobial activity against intracellular bacteria, which in murine, but not human, monocytes and macrophages is mediated principally by nitric oxide. We report here that TLR activation of human macrophages up-regulated expression of the vitamin D receptor and the vitamin D-1-hydroxylase genes, leading to induction of the antimicrobial peptide cathelicidin and killing of intracellular Mycobacterium tuberculosis. We also observed that sera from African-American individuals, known to have increased susceptibility to tuberculosis, had low 25-hydroxyvitamin D and were inefficient in supporting cathelicidin messenger RNA induction. These data support a link between TLRs and vitamin D-mediated innate immunity and suggest that differences in ability of human populations to produce vitamin D may contribute to susceptibility to microbial infection. "}
{"STANDARD_NAME":"GSE3039_CD4_TCELL_VS_NKT_CELL_UP","SYSTEMATIC_NAME":"M6426","ORGANISM":"Mus musculus","PMID":"16623764","AUTHORS":"Yamagata T,Benoist C,Mathis D","GEOID":"GSE3039","EXACT_SOURCE":"GSE3039_3200_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells versus NKT cells.","DESCRIPTION_FULL":"Three innate (B1-B, NKT, CD8aaT cells) and adaptive (B2-B, CD4T, CD8abT cells) cell-types were sorted by FACS. Three biological replicates for NKT, CD4T, CD8aaT, CD8abT cells and two biological replicates for B1 and B2 cells were generated and the expression profiles were determined using Affymetrix Mu74Av2 chip. Comparisons between the sample groups allow the identification of genes differentially expressed between the innate and adaptive cell-types."}
{"STANDARD_NAME":"GSE3039_NKT_CELL_VS_ALPHABETA_CD8_TCELL_UP","SYSTEMATIC_NAME":"M6429","ORGANISM":"Mus musculus","PMID":"16623764","AUTHORS":"Yamagata T,Benoist C,Mathis D","GEOID":"GSE3039","EXACT_SOURCE":"GSE3039_3206_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in NKT cell versus CD8A CD8B [GeneID=925;926] T cells.","DESCRIPTION_FULL":"Three innate (B1-B, NKT, CD8aaT cells) and adaptive (B2-B, CD4T, CD8abT cells) cell-types were sorted by FACS. Three biological replicates for NKT, CD4T, CD8aaT, CD8abT cells and two biological replicates for B1 and B2 cells were generated and the expression profiles were determined using Affymetrix Mu74Av2 chip. Comparisons between the sample groups allow the identification of genes differentially expressed between the innate and adaptive cell-types."}
{"STANDARD_NAME":"GSE3039_NKT_CELL_VS_ALPHABETA_CD8_TCELL_DN","SYSTEMATIC_NAME":"M6430","ORGANISM":"Mus musculus","PMID":"16623764","AUTHORS":"Yamagata T,Benoist C,Mathis D","GEOID":"GSE3039","EXACT_SOURCE":"GSE3039_3206_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in NKT cell versus CD8A CD8B [GeneID=925;926] T cells.","DESCRIPTION_FULL":"Three innate (B1-B, NKT, CD8aaT cells) and adaptive (B2-B, CD4T, CD8abT cells) cell-types were sorted by FACS. Three biological replicates for NKT, CD4T, CD8aaT, CD8abT cells and two biological replicates for B1 and B2 cells were generated and the expression profiles were determined using Affymetrix Mu74Av2 chip. Comparisons between the sample groups allow the identification of genes differentially expressed between the innate and adaptive cell-types."}
{"STANDARD_NAME":"GSE3039_CD4_TCELL_VS_NKT_CELL_DN","SYSTEMATIC_NAME":"M6431","ORGANISM":"Mus musculus","PMID":"16623764","AUTHORS":"Yamagata T,Benoist C,Mathis D","GEOID":"GSE3039","EXACT_SOURCE":"GSE3039_3200_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells versus NKT cells.","DESCRIPTION_FULL":"Three innate (B1-B, NKT, CD8aaT cells) and adaptive (B2-B, CD4T, CD8abT cells) cell-types were sorted by FACS. Three biological replicates for NKT, CD4T, CD8aaT, CD8abT cells and two biological replicates for B1 and B2 cells were generated and the expression profiles were determined using Affymetrix Mu74Av2 chip. Comparisons between the sample groups allow the identification of genes differentially expressed between the innate and adaptive cell-types."}
{"STANDARD_NAME":"GSE3039_NKT_CELL_VS_B1_BCELL_UP","SYSTEMATIC_NAME":"M6432","ORGANISM":"Mus musculus","PMID":"16623764","AUTHORS":"Yamagata T,Benoist C,Mathis D","GEOID":"GSE3039","EXACT_SOURCE":"GSE3039_3208_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in NKT cells versus B1 B lymphocytes.","DESCRIPTION_FULL":"Three innate (B1-B, NKT, CD8aaT cells) and adaptive (B2-B, CD4T, CD8abT cells) cell-types were sorted by FACS. Three biological replicates for NKT, CD4T, CD8aaT, CD8abT cells and two biological replicates for B1 and B2 cells were generated and the expression profiles were determined using Affymetrix Mu74Av2 chip. Comparisons between the sample groups allow the identification of genes differentially expressed between the innate and adaptive cell-types."}
{"STANDARD_NAME":"GSE3039_NKT_CELL_VS_B1_BCELL_DN","SYSTEMATIC_NAME":"M6433","ORGANISM":"Mus musculus","PMID":"16623764","AUTHORS":"Yamagata T,Benoist C,Mathis D","GEOID":"GSE3039","EXACT_SOURCE":"GSE3039_3208_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in NKT cells versus B1 B lymphocytes.","DESCRIPTION_FULL":"Three innate (B1-B, NKT, CD8aaT cells) and adaptive (B2-B, CD4T, CD8abT cells) cell-types were sorted by FACS. Three biological replicates for NKT, CD4T, CD8aaT, CD8abT cells and two biological replicates for B1 and B2 cells were generated and the expression profiles were determined using Affymetrix Mu74Av2 chip. Comparisons between the sample groups allow the identification of genes differentially expressed between the innate and adaptive cell-types."}
{"STANDARD_NAME":"GSE3039_NKT_CELL_VS_B2_BCELL_UP","SYSTEMATIC_NAME":"M6435","ORGANISM":"Mus musculus","PMID":"16623764","AUTHORS":"Yamagata T,Benoist C,Mathis D","GEOID":"GSE3039","EXACT_SOURCE":"GSE3039_3207_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in NKT cells versus B2 B lymphocytes.","DESCRIPTION_FULL":"Three innate (B1-B, NKT, CD8aaT cells) and adaptive (B2-B, CD4T, CD8abT cells) cell-types were sorted by FACS. Three biological replicates for NKT, CD4T, CD8aaT, CD8abT cells and two biological replicates for B1 and B2 cells were generated and the expression profiles were determined using Affymetrix Mu74Av2 chip. Comparisons between the sample groups allow the identification of genes differentially expressed between the innate and adaptive cell-types."}
{"STANDARD_NAME":"GSE3039_NKT_CELL_VS_B2_BCELL_DN","SYSTEMATIC_NAME":"M6436","ORGANISM":"Mus musculus","PMID":"16623764","AUTHORS":"Yamagata T,Benoist C,Mathis D","GEOID":"GSE3039","EXACT_SOURCE":"GSE3039_3207_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in NKT cells versus B2 B lymphocytes.","DESCRIPTION_FULL":"Three innate (B1-B, NKT, CD8aaT cells) and adaptive (B2-B, CD4T, CD8abT cells) cell-types were sorted by FACS. Three biological replicates for NKT, CD4T, CD8aaT, CD8abT cells and two biological replicates for B1 and B2 cells were generated and the expression profiles were determined using Affymetrix Mu74Av2 chip. Comparisons between the sample groups allow the identification of genes differentially expressed between the innate and adaptive cell-types."}
{"STANDARD_NAME":"GSE3039_ALPHAALPHA_CD8_TCELL_VS_B2_BCELL_UP","SYSTEMATIC_NAME":"M6437","ORGANISM":"Mus musculus","PMID":"16623764","AUTHORS":"Yamagata T,Benoist C,Mathis D","GEOID":"GSE3039","EXACT_SOURCE":"GSE3039_3210_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD8A [GeneID=925] T cells versus B2 B lymphocytes.","DESCRIPTION_FULL":"Three innate (B1-B, NKT, CD8aaT cells) and adaptive (B2-B, CD4T, CD8abT cells) cell-types were sorted by FACS. Three biological replicates for NKT, CD4T, CD8aaT, CD8abT cells and two biological replicates for B1 and B2 cells were generated and the expression profiles were determined using Affymetrix Mu74Av2 chip. Comparisons between the sample groups allow the identification of genes differentially expressed between the innate and adaptive cell-types."}
{"STANDARD_NAME":"GSE3039_ALPHAALPHA_CD8_TCELL_VS_B2_BCELL_DN","SYSTEMATIC_NAME":"M6439","ORGANISM":"Mus musculus","PMID":"16623764","AUTHORS":"Yamagata T,Benoist C,Mathis D","GEOID":"GSE3039","EXACT_SOURCE":"GSE3039_3210_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD8A [GeneID=925] T cells versus B2 B lymphocytes.","DESCRIPTION_FULL":"Three innate (B1-B, NKT, CD8aaT cells) and adaptive (B2-B, CD4T, CD8abT cells) cell-types were sorted by FACS. Three biological replicates for NKT, CD4T, CD8aaT, CD8abT cells and two biological replicates for B1 and B2 cells were generated and the expression profiles were determined using Affymetrix Mu74Av2 chip. Comparisons between the sample groups allow the identification of genes differentially expressed between the innate and adaptive cell-types."}
{"STANDARD_NAME":"GSE3039_ALPHAALPHA_CD8_TCELL_VS_B1_BCELL_UP","SYSTEMATIC_NAME":"M6440","ORGANISM":"Mus musculus","PMID":"16623764","AUTHORS":"Yamagata T,Benoist C,Mathis D","GEOID":"GSE3039","EXACT_SOURCE":"GSE3039_3211_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD8A [GeneID=925] T cells versus B1 B lymphocytes.","DESCRIPTION_FULL":"Three innate (B1-B, NKT, CD8aaT cells) and adaptive (B2-B, CD4T, CD8abT cells) cell-types were sorted by FACS. Three biological replicates for NKT, CD4T, CD8aaT, CD8abT cells and two biological replicates for B1 and B2 cells were generated and the expression profiles were determined using Affymetrix Mu74Av2 chip. Comparisons between the sample groups allow the identification of genes differentially expressed between the innate and adaptive cell-types."}
{"STANDARD_NAME":"GSE3039_ALPHAALPHA_CD8_TCELL_VS_B1_BCELL_DN","SYSTEMATIC_NAME":"M6442","ORGANISM":"Mus musculus","PMID":"16623764","AUTHORS":"Yamagata T,Benoist C,Mathis D","GEOID":"GSE3039","EXACT_SOURCE":"GSE3039_3211_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD8A [GeneID=925] T cells versus B1 B lymphocytes.","DESCRIPTION_FULL":"Three innate (B1-B, NKT, CD8aaT cells) and adaptive (B2-B, CD4T, CD8abT cells) cell-types were sorted by FACS. Three biological replicates for NKT, CD4T, CD8aaT, CD8abT cells and two biological replicates for B1 and B2 cells were generated and the expression profiles were determined using Affymetrix Mu74Av2 chip. Comparisons between the sample groups allow the identification of genes differentially expressed between the innate and adaptive cell-types."}
{"STANDARD_NAME":"GSE3039_ALPHABETA_CD8_TCELL_VS_B2_BCELL_UP","SYSTEMATIC_NAME":"M6443","ORGANISM":"Mus musculus","PMID":"16623764","AUTHORS":"Yamagata T,Benoist C,Mathis D","GEOID":"GSE3039","EXACT_SOURCE":"GSE3039_3212_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD8A CD8B [GeneID=925;926] versus B2 B lymphocytes.","DESCRIPTION_FULL":"Three innate (B1-B, NKT, CD8aaT cells) and adaptive (B2-B, CD4T, CD8abT cells) cell-types were sorted by FACS. Three biological replicates for NKT, CD4T, CD8aaT, CD8abT cells and two biological replicates for B1 and B2 cells were generated and the expression profiles were determined using Affymetrix Mu74Av2 chip. Comparisons between the sample groups allow the identification of genes differentially expressed between the innate and adaptive cell-types."}
{"STANDARD_NAME":"GSE3039_ALPHABETA_CD8_TCELL_VS_B2_BCELL_DN","SYSTEMATIC_NAME":"M6445","ORGANISM":"Mus musculus","PMID":"16623764","AUTHORS":"Yamagata T,Benoist C,Mathis D","GEOID":"GSE3039","EXACT_SOURCE":"GSE3039_3212_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD8A CD8B [GeneID=925;926] versus B2 B lymphocytes.","DESCRIPTION_FULL":"Three innate (B1-B, NKT, CD8aaT cells) and adaptive (B2-B, CD4T, CD8abT cells) cell-types were sorted by FACS. Three biological replicates for NKT, CD4T, CD8aaT, CD8abT cells and two biological replicates for B1 and B2 cells were generated and the expression profiles were determined using Affymetrix Mu74Av2 chip. Comparisons between the sample groups allow the identification of genes differentially expressed between the innate and adaptive cell-types."}
{"STANDARD_NAME":"GSE3039_ALPHABETA_CD8_TCELL_VS_B1_BCELL_UP","SYSTEMATIC_NAME":"M6447","ORGANISM":"Mus musculus","PMID":"16623764","AUTHORS":"Yamagata T,Benoist C,Mathis D","GEOID":"GSE3039","EXACT_SOURCE":"GSE3039_3213_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD8A CD8B [GeneID=925;926] versus B1 B lymphocytes.","DESCRIPTION_FULL":"Three innate (B1-B, NKT, CD8aaT cells) and adaptive (B2-B, CD4T, CD8abT cells) cell-types were sorted by FACS. Three biological replicates for NKT, CD4T, CD8aaT, CD8abT cells and two biological replicates for B1 and B2 cells were generated and the expression profiles were determined using Affymetrix Mu74Av2 chip. Comparisons between the sample groups allow the identification of genes differentially expressed between the innate and adaptive cell-types."}
{"STANDARD_NAME":"GSE3039_ALPHABETA_CD8_TCELL_VS_B1_BCELL_DN","SYSTEMATIC_NAME":"M6449","ORGANISM":"Mus musculus","PMID":"16623764","AUTHORS":"Yamagata T,Benoist C,Mathis D","GEOID":"GSE3039","EXACT_SOURCE":"GSE3039_3213_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD8A CD8B [GeneID=925;926] versus B1 B lymphocytes.","DESCRIPTION_FULL":"Three innate (B1-B, NKT, CD8aaT cells) and adaptive (B2-B, CD4T, CD8abT cells) cell-types were sorted by FACS. Three biological replicates for NKT, CD4T, CD8aaT, CD8abT cells and two biological replicates for B1 and B2 cells were generated and the expression profiles were determined using Affymetrix Mu74Av2 chip. Comparisons between the sample groups allow the identification of genes differentially expressed between the innate and adaptive cell-types."}
{"STANDARD_NAME":"GSE3039_B2_VS_B1_BCELL_UP","SYSTEMATIC_NAME":"M6450","ORGANISM":"Mus musculus","PMID":"16623764","AUTHORS":"Yamagata T,Benoist C,Mathis D","GEOID":"GSE3039","EXACT_SOURCE":"GSE3039_3214_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in B lymphocytes: B2 versus B1.","DESCRIPTION_FULL":"Three innate (B1-B, NKT, CD8aaT cells) and adaptive (B2-B, CD4T, CD8abT cells) cell-types were sorted by FACS. Three biological replicates for NKT, CD4T, CD8aaT, CD8abT cells and two biological replicates for B1 and B2 cells were generated and the expression profiles were determined using Affymetrix Mu74Av2 chip. Comparisons between the sample groups allow the identification of genes differentially expressed between the innate and adaptive cell-types."}
{"STANDARD_NAME":"GSE3039_B2_VS_B1_BCELL_DN","SYSTEMATIC_NAME":"M6453","ORGANISM":"Mus musculus","PMID":"16623764","AUTHORS":"Yamagata T,Benoist C,Mathis D","GEOID":"GSE3039","EXACT_SOURCE":"GSE3039_3214_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in B lymphocytes: B2 versus B1.","DESCRIPTION_FULL":"Three innate (B1-B, NKT, CD8aaT cells) and adaptive (B2-B, CD4T, CD8abT cells) cell-types were sorted by FACS. Three biological replicates for NKT, CD4T, CD8aaT, CD8abT cells and two biological replicates for B1 and B2 cells were generated and the expression profiles were determined using Affymetrix Mu74Av2 chip. Comparisons between the sample groups allow the identification of genes differentially expressed between the innate and adaptive cell-types."}
{"STANDARD_NAME":"GSE3039_CD4_TCELL_VS_ALPHAALPHA_CD8_TCELL_UP","SYSTEMATIC_NAME":"M6456","ORGANISM":"Mus musculus","PMID":"16623764","AUTHORS":"Yamagata T,Benoist C,Mathis D","GEOID":"GSE3039","EXACT_SOURCE":"GSE3039_3201_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in T cells: CD4 [GeneID=920] versus CD8A [GeneID=925].","DESCRIPTION_FULL":"Three innate (B1-B, NKT, CD8aaT cells) and adaptive (B2-B, CD4T, CD8abT cells) cell-types were sorted by FACS. Three biological replicates for NKT, CD4T, CD8aaT, CD8abT cells and two biological replicates for B1 and B2 cells were generated and the expression profiles were determined using Affymetrix Mu74Av2 chip. Comparisons between the sample groups allow the identification of genes differentially expressed between the innate and adaptive cell-types."}
{"STANDARD_NAME":"GSE3039_CD4_TCELL_VS_ALPHAALPHA_CD8_TCELL_DN","SYSTEMATIC_NAME":"M6457","ORGANISM":"Mus musculus","PMID":"16623764","AUTHORS":"Yamagata T,Benoist C,Mathis D","GEOID":"GSE3039","EXACT_SOURCE":"GSE3039_3201_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in T cells: CD4 [GeneID=920] versus CD8A [GeneID=925].","DESCRIPTION_FULL":"Three innate (B1-B, NKT, CD8aaT cells) and adaptive (B2-B, CD4T, CD8abT cells) cell-types were sorted by FACS. Three biological replicates for NKT, CD4T, CD8aaT, CD8abT cells and two biological replicates for B1 and B2 cells were generated and the expression profiles were determined using Affymetrix Mu74Av2 chip. Comparisons between the sample groups allow the identification of genes differentially expressed between the innate and adaptive cell-types."}
{"STANDARD_NAME":"GSE3039_CD4_TCELL_VS_ALPHABETA_CD8_TCELL_UP","SYSTEMATIC_NAME":"M6459","ORGANISM":"Mus musculus","PMID":"16623764","AUTHORS":"Yamagata T,Benoist C,Mathis D","GEOID":"GSE3039","EXACT_SOURCE":"GSE3039_3202_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in T cells: CD4 [GeneID=920] versus CD8A CD8B [GeneID=925;926].","DESCRIPTION_FULL":"Three innate (B1-B, NKT, CD8aaT cells) and adaptive (B2-B, CD4T, CD8abT cells) cell-types were sorted by FACS. Three biological replicates for NKT, CD4T, CD8aaT, CD8abT cells and two biological replicates for B1 and B2 cells were generated and the expression profiles were determined using Affymetrix Mu74Av2 chip. Comparisons between the sample groups allow the identification of genes differentially expressed between the innate and adaptive cell-types."}
{"STANDARD_NAME":"GSE3039_CD4_TCELL_VS_ALPHABETA_CD8_TCELL_DN","SYSTEMATIC_NAME":"M6461","ORGANISM":"Mus musculus","PMID":"16623764","AUTHORS":"Yamagata T,Benoist C,Mathis D","GEOID":"GSE3039","EXACT_SOURCE":"GSE3039_3202_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in T cells: CD4 [GeneID=920] versus CD8A CD8B [GeneID=925;926].","DESCRIPTION_FULL":"Three innate (B1-B, NKT, CD8aaT cells) and adaptive (B2-B, CD4T, CD8abT cells) cell-types were sorted by FACS. Three biological replicates for NKT, CD4T, CD8aaT, CD8abT cells and two biological replicates for B1 and B2 cells were generated and the expression profiles were determined using Affymetrix Mu74Av2 chip. Comparisons between the sample groups allow the identification of genes differentially expressed between the innate and adaptive cell-types."}
{"STANDARD_NAME":"GSE3039_CD4_TCELL_VS_B2_BCELL_UP","SYSTEMATIC_NAME":"M6462","ORGANISM":"Mus musculus","PMID":"16623764","AUTHORS":"Yamagata T,Benoist C,Mathis D","GEOID":"GSE3039","EXACT_SOURCE":"GSE3039_3203_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells versus B2 B lymphocytes.","DESCRIPTION_FULL":"Three innate (B1-B, NKT, CD8aaT cells) and adaptive (B2-B, CD4T, CD8abT cells) cell-types were sorted by FACS. Three biological replicates for NKT, CD4T, CD8aaT, CD8abT cells and two biological replicates for B1 and B2 cells were generated and the expression profiles were determined using Affymetrix Mu74Av2 chip. Comparisons between the sample groups allow the identification of genes differentially expressed between the innate and adaptive cell-types."}
{"STANDARD_NAME":"GSE3039_CD4_TCELL_VS_B2_BCELL_DN","SYSTEMATIC_NAME":"M6464","ORGANISM":"Mus musculus","PMID":"16623764","AUTHORS":"Yamagata T,Benoist C,Mathis D","GEOID":"GSE3039","EXACT_SOURCE":"GSE3039_3203_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells versus B2 B lymphocytes.","DESCRIPTION_FULL":"Three innate (B1-B, NKT, CD8aaT cells) and adaptive (B2-B, CD4T, CD8abT cells) cell-types were sorted by FACS. Three biological replicates for NKT, CD4T, CD8aaT, CD8abT cells and two biological replicates for B1 and B2 cells were generated and the expression profiles were determined using Affymetrix Mu74Av2 chip. Comparisons between the sample groups allow the identification of genes differentially expressed between the innate and adaptive cell-types."}
{"STANDARD_NAME":"GSE3039_CD4_TCELL_VS_B1_BCELL_UP","SYSTEMATIC_NAME":"M6466","ORGANISM":"Mus musculus","PMID":"16623764","AUTHORS":"Yamagata T,Benoist C,Mathis D","GEOID":"GSE3039","EXACT_SOURCE":"GSE3039_3204_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells versus B1 B lymphocytes.","DESCRIPTION_FULL":"Three innate (B1-B, NKT, CD8aaT cells) and adaptive (B2-B, CD4T, CD8abT cells) cell-types were sorted by FACS. Three biological replicates for NKT, CD4T, CD8aaT, CD8abT cells and two biological replicates for B1 and B2 cells were generated and the expression profiles were determined using Affymetrix Mu74Av2 chip. Comparisons between the sample groups allow the identification of genes differentially expressed between the innate and adaptive cell-types."}
{"STANDARD_NAME":"GSE3039_CD4_TCELL_VS_B1_BCELL_DN","SYSTEMATIC_NAME":"M6468","ORGANISM":"Mus musculus","PMID":"16623764","AUTHORS":"Yamagata T,Benoist C,Mathis D","GEOID":"GSE3039","EXACT_SOURCE":"GSE3039_3204_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells versus B1 B lymphocytes.","DESCRIPTION_FULL":"Three innate (B1-B, NKT, CD8aaT cells) and adaptive (B2-B, CD4T, CD8abT cells) cell-types were sorted by FACS. Three biological replicates for NKT, CD4T, CD8aaT, CD8abT cells and two biological replicates for B1 and B2 cells were generated and the expression profiles were determined using Affymetrix Mu74Av2 chip. Comparisons between the sample groups allow the identification of genes differentially expressed between the innate and adaptive cell-types."}
{"STANDARD_NAME":"GSE3039_NKT_CELL_VS_ALPHAALPHA_CD8_TCELL_UP","SYSTEMATIC_NAME":"M6473","ORGANISM":"Mus musculus","PMID":"16623764","AUTHORS":"Yamagata T,Benoist C,Mathis D","GEOID":"GSE3039","EXACT_SOURCE":"GSE3039_3205_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in NKT cells versus CD8A [GeneID=925] T cells.","DESCRIPTION_FULL":"Three innate (B1-B, NKT, CD8aaT cells) and adaptive (B2-B, CD4T, CD8abT cells) cell-types were sorted by FACS. Three biological replicates for NKT, CD4T, CD8aaT, CD8abT cells and two biological replicates for B1 and B2 cells were generated and the expression profiles were determined using Affymetrix Mu74Av2 chip. Comparisons between the sample groups allow the identification of genes differentially expressed between the innate and adaptive cell-types."}
{"STANDARD_NAME":"GSE3039_NKT_CELL_VS_ALPHAALPHA_CD8_TCELL_DN","SYSTEMATIC_NAME":"M6474","ORGANISM":"Mus musculus","PMID":"16623764","AUTHORS":"Yamagata T,Benoist C,Mathis D","GEOID":"GSE3039","EXACT_SOURCE":"GSE3039_3205_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in NKT cells versus CD8A [GeneID=925] T cells.","DESCRIPTION_FULL":"Three innate (B1-B, NKT, CD8aaT cells) and adaptive (B2-B, CD4T, CD8abT cells) cell-types were sorted by FACS. Three biological replicates for NKT, CD4T, CD8aaT, CD8abT cells and two biological replicates for B1 and B2 cells were generated and the expression profiles were determined using Affymetrix Mu74Av2 chip. Comparisons between the sample groups allow the identification of genes differentially expressed between the innate and adaptive cell-types."}
{"STANDARD_NAME":"GSE3039_ALPHAALPHA_VS_ALPHABETA_CD8_TCELL_DN","SYSTEMATIC_NAME":"M6475","ORGANISM":"Mus musculus","PMID":"16623764","AUTHORS":"Yamagata T,Benoist C,Mathis D","GEOID":"GSE3039","EXACT_SOURCE":"GSE3039_3209_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in T cells: CD8A [GeneID=925] versus CD8A CD8B [GeneID=925;926].","DESCRIPTION_FULL":"Three innate (B1-B, NKT, CD8aaT cells) and adaptive (B2-B, CD4T, CD8abT cells) cell-types were sorted by FACS. Three biological replicates for NKT, CD4T, CD8aaT, CD8abT cells and two biological replicates for B1 and B2 cells were generated and the expression profiles were determined using Affymetrix Mu74Av2 chip. Comparisons between the sample groups allow the identification of genes differentially expressed between the innate and adaptive cell-types."}
{"STANDARD_NAME":"GSE3039_ALPHAALPHA_VS_ALPHABETA_CD8_TCELL_UP","SYSTEMATIC_NAME":"M6476","ORGANISM":"Mus musculus","PMID":"16623764","AUTHORS":"Yamagata T,Benoist C,Mathis D","GEOID":"GSE3039","EXACT_SOURCE":"GSE3039_3209_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in T cells: CD8A [GeneID=925] versus CD8A CD8B [GeneID=925;926].","DESCRIPTION_FULL":"Three innate (B1-B, NKT, CD8aaT cells) and adaptive (B2-B, CD4T, CD8abT cells) cell-types were sorted by FACS. Three biological replicates for NKT, CD4T, CD8aaT, CD8abT cells and two biological replicates for B1 and B2 cells were generated and the expression profiles were determined using Affymetrix Mu74Av2 chip. Comparisons between the sample groups allow the identification of genes differentially expressed between the innate and adaptive cell-types."}
{"STANDARD_NAME":"GSE4748_CTRL_VS_CYANOBACTERIUM_LPSLIKE_STIM_DC_3H_UP","SYSTEMATIC_NAME":"M6477","ORGANISM":"Homo sapiens","PMID":"16717116","AUTHORS":"Macagno A,Molteni M,Rinaldi A,Bertoni F,Lanzavecchia A,Rossetti C,Sallusto F","GEOID":"GSE4748","EXACT_SOURCE":"GSE4748_3382_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in monocyte-derived dendritic cells: untreated versus LPS like antigen from O. planktothrix (3h).","DESCRIPTION_FULL":"A cyanobacterial LPS antagonist prevents endotoxin shock and blocks sustained TLR4 stimulation required for cytokine expression. We report the identification and biologic characterization of an LPS-like molecule extracted from the cyanobacterium Oscillatoria Planktothrix FP1 (CyP)."}
{"STANDARD_NAME":"GSE4748_CTRL_VS_CYANOBACTERIUM_LPSLIKE_STIM_DC_3H_DN","SYSTEMATIC_NAME":"M6478","ORGANISM":"Homo sapiens","PMID":"16717116","AUTHORS":"Macagno A,Molteni M,Rinaldi A,Bertoni F,Lanzavecchia A,Rossetti C,Sallusto F","GEOID":"GSE4748","EXACT_SOURCE":"GSE4748_3382_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in monocyte-derived dendritic cells: untreated versus LPS like antigen from O. planktothrix (3h).","DESCRIPTION_FULL":"A cyanobacterial LPS antagonist prevents endotoxin shock and blocks sustained TLR4 stimulation required for cytokine expression. We report the identification and biologic characterization of an LPS-like molecule extracted from the cyanobacterium Oscillatoria Planktothrix FP1 (CyP)."}
{"STANDARD_NAME":"GSE4748_CTRL_VS_LPS_STIM_DC_3H_UP","SYSTEMATIC_NAME":"M6480","ORGANISM":"Homo sapiens","PMID":"16717116","AUTHORS":"Macagno A,Molteni M,Rinaldi A,Bertoni F,Lanzavecchia A,Rossetti C,Sallusto F","GEOID":"GSE4748","EXACT_SOURCE":"GSE4748_3383_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in monocyte-derived dendritic cells: untreated versus LPS (3h).","DESCRIPTION_FULL":"A cyanobacterial LPS antagonist prevents endotoxin shock and blocks sustained TLR4 stimulation required for cytokine expression. We report the identification and biologic characterization of an LPS-like molecule extracted from the cyanobacterium Oscillatoria Planktothrix FP1 (CyP)."}
{"STANDARD_NAME":"GSE4748_CTRL_VS_LPS_STIM_DC_3H_DN","SYSTEMATIC_NAME":"M6481","ORGANISM":"Homo sapiens","PMID":"16717116","AUTHORS":"Macagno A,Molteni M,Rinaldi A,Bertoni F,Lanzavecchia A,Rossetti C,Sallusto F","GEOID":"GSE4748","EXACT_SOURCE":"GSE4748_3383_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in monocyte-derived dendritic cells: untreated versus LPS (3h).","DESCRIPTION_FULL":"A cyanobacterial LPS antagonist prevents endotoxin shock and blocks sustained TLR4 stimulation required for cytokine expression. We report the identification and biologic characterization of an LPS-like molecule extracted from the cyanobacterium Oscillatoria Planktothrix FP1 (CyP)."}
{"STANDARD_NAME":"GSE4748_CTRL_VS_LPS_AND_CYANOBACTERIUM_LPSLIKE_STIM_DC_3H_UP","SYSTEMATIC_NAME":"M6484","ORGANISM":"Homo sapiens","PMID":"16717116","AUTHORS":"Macagno A,Molteni M,Rinaldi A,Bertoni F,Lanzavecchia A,Rossetti C,Sallusto F","GEOID":"GSE4748","EXACT_SOURCE":"GSE4748_3384_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in monocyte-derived dendritic cells: untreated versus LPS and LPS like antigen from O. planktothrix (3h).","DESCRIPTION_FULL":"A cyanobacterial LPS antagonist prevents endotoxin shock and blocks sustained TLR4 stimulation required for cytokine expression. We report the identification and biologic characterization of an LPS-like molecule extracted from the cyanobacterium Oscillatoria Planktothrix FP1 (CyP)."}
{"STANDARD_NAME":"GSE4748_CTRL_VS_LPS_AND_CYANOBACTERIUM_LPSLIKE_STIM_DC_3H_DN","SYSTEMATIC_NAME":"M6485","ORGANISM":"Homo sapiens","PMID":"16717116","AUTHORS":"Macagno A,Molteni M,Rinaldi A,Bertoni F,Lanzavecchia A,Rossetti C,Sallusto F","GEOID":"GSE4748","EXACT_SOURCE":"GSE4748_3384_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in monocyte-derived dendritic cells: untreated versus LPS and LPS like antigen from O. planktothrix (3h).","DESCRIPTION_FULL":"A cyanobacterial LPS antagonist prevents endotoxin shock and blocks sustained TLR4 stimulation required for cytokine expression. We report the identification and biologic characterization of an LPS-like molecule extracted from the cyanobacterium Oscillatoria Planktothrix FP1 (CyP)."}
{"STANDARD_NAME":"GSE4748_CTRL_VS_CYANOBACTERIUM_LPSLIKE_STIM_DC_1H_UP","SYSTEMATIC_NAME":"M6486","ORGANISM":"Homo sapiens","PMID":"16717116","AUTHORS":"Macagno A,Molteni M,Rinaldi A,Bertoni F,Lanzavecchia A,Rossetti C,Sallusto F","GEOID":"GSE4748","EXACT_SOURCE":"GSE4748_3385_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in monocyte-derived dendritic cells: untreated versus LPS like antigen from O. planktothrix (1h).","DESCRIPTION_FULL":"A cyanobacterial LPS antagonist prevents endotoxin shock and blocks sustained TLR4 stimulation required for cytokine expression. We report the identification and biologic characterization of an LPS-like molecule extracted from the cyanobacterium Oscillatoria Planktothrix FP1 (CyP)."}
{"STANDARD_NAME":"GSE4748_CTRL_VS_CYANOBACTERIUM_LPSLIKE_STIM_DC_1H_DN","SYSTEMATIC_NAME":"M6488","ORGANISM":"Homo sapiens","PMID":"16717116","AUTHORS":"Macagno A,Molteni M,Rinaldi A,Bertoni F,Lanzavecchia A,Rossetti C,Sallusto F","GEOID":"GSE4748","EXACT_SOURCE":"GSE4748_3385_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in monocyte-derived dendritic cells: untreated versus LPS like antigen from O. planktothrix (1h).","DESCRIPTION_FULL":"A cyanobacterial LPS antagonist prevents endotoxin shock and blocks sustained TLR4 stimulation required for cytokine expression. We report the identification and biologic characterization of an LPS-like molecule extracted from the cyanobacterium Oscillatoria Planktothrix FP1 (CyP)."}
{"STANDARD_NAME":"GSE4748_CYANOBACTERIUM_LPSLIKE_VS_LPS_AND_CYANOBACTERIUM_LPSLIKE_STIM_DC_3H_UP","SYSTEMATIC_NAME":"M6491","ORGANISM":"Homo sapiens","PMID":"16717116","AUTHORS":"Macagno A,Molteni M,Rinaldi A,Bertoni F,Lanzavecchia A,Rossetti C,Sallusto F","GEOID":"GSE4748","EXACT_SOURCE":"GSE4748_3386_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in monocyte-derived dendritic cells: LPS like antigen from O. planktothrix (3h) versus LPS and LPS like antigen from O. planktothrix (3h).","DESCRIPTION_FULL":"A cyanobacterial LPS antagonist prevents endotoxin shock and blocks sustained TLR4 stimulation required for cytokine expression. We report the identification and biologic characterization of an LPS-like molecule extracted from the cyanobacterium Oscillatoria Planktothrix FP1 (CyP)."}
{"STANDARD_NAME":"GSE4748_CYANOBACTERIUM_LPSLIKE_VS_LPS_AND_CYANOBACTERIUM_LPSLIKE_STIM_DC_3H_DN","SYSTEMATIC_NAME":"M6492","ORGANISM":"Homo sapiens","PMID":"16717116","AUTHORS":"Macagno A,Molteni M,Rinaldi A,Bertoni F,Lanzavecchia A,Rossetti C,Sallusto F","GEOID":"GSE4748","EXACT_SOURCE":"GSE4748_3386_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in monocyte-derived dendritic cells: LPS like antigen from O. planktothrix (3h) versus LPS and LPS like antigen from O. planktothrix (3h).","DESCRIPTION_FULL":"A cyanobacterial LPS antagonist prevents endotoxin shock and blocks sustained TLR4 stimulation required for cytokine expression. We report the identification and biologic characterization of an LPS-like molecule extracted from the cyanobacterium Oscillatoria Planktothrix FP1 (CyP)."}
{"STANDARD_NAME":"GSE4748_LPS_VS_LPS_AND_CYANOBACTERIUM_LPSLIKE_STIM_DC_3H_UP","SYSTEMATIC_NAME":"M6493","ORGANISM":"Homo sapiens","PMID":"16717116","AUTHORS":"Macagno A,Molteni M,Rinaldi A,Bertoni F,Lanzavecchia A,Rossetti C,Sallusto F","GEOID":"GSE4748","EXACT_SOURCE":"GSE4748_3387_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in monocyte-derived dendritic cells: LPS (3h) versus LPS and LPS like antigen from O. planktothrix (3h).","DESCRIPTION_FULL":"A cyanobacterial LPS antagonist prevents endotoxin shock and blocks sustained TLR4 stimulation required for cytokine expression. We report the identification and biologic characterization of an LPS-like molecule extracted from the cyanobacterium Oscillatoria Planktothrix FP1 (CyP)."}
{"STANDARD_NAME":"GSE4748_LPS_VS_LPS_AND_CYANOBACTERIUM_LPSLIKE_STIM_DC_3H_DN","SYSTEMATIC_NAME":"M6494","ORGANISM":"Homo sapiens","PMID":"16717116","AUTHORS":"Macagno A,Molteni M,Rinaldi A,Bertoni F,Lanzavecchia A,Rossetti C,Sallusto F","GEOID":"GSE4748","EXACT_SOURCE":"GSE4748_3387_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in monocyte-derived dendritic cells: LPS (3h) versus LPS and LPS like antigen from O. planktothrix (3h).","DESCRIPTION_FULL":"A cyanobacterial LPS antagonist prevents endotoxin shock and blocks sustained TLR4 stimulation required for cytokine expression. We report the identification and biologic characterization of an LPS-like molecule extracted from the cyanobacterium Oscillatoria Planktothrix FP1 (CyP)."}
{"STANDARD_NAME":"GSE4984_UNTREATED_VS_GALECTIN1_TREATED_DC_UP","SYSTEMATIC_NAME":"M6495","ORGANISM":"Homo sapiens","PMID":"16785517","AUTHORS":"Fulcher JA,Hashimi ST,Levroney EL,Pang M,Gurney KB,Baum LG,Lee B","GEOID":"GSE4984","EXACT_SOURCE":"GSE4984_2744_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in monocyte-derived dendritic cells: control versus treated with LGALS1 [GeneID=3956].","DESCRIPTION_FULL":"Human monocyte derived dendritic cells matured via galectin-1 or LPS."}
{"STANDARD_NAME":"GSE4984_UNTREATED_VS_GALECTIN1_TREATED_DC_DN","SYSTEMATIC_NAME":"M6496","ORGANISM":"Homo sapiens","PMID":"16785517","AUTHORS":"Fulcher JA,Hashimi ST,Levroney EL,Pang M,Gurney KB,Baum LG,Lee B","GEOID":"GSE4984","EXACT_SOURCE":"GSE4984_2744_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in monocyte-derived dendritic cells: control versus treated with LGALS1 [GeneID=3956].","DESCRIPTION_FULL":"Human monocyte derived dendritic cells matured via galectin-1 or LPS."}
{"STANDARD_NAME":"GSE4984_UNTREATED_VS_LPS_TREATED_DC_UP","SYSTEMATIC_NAME":"M6498","ORGANISM":"Homo sapiens","PMID":"16785517","AUTHORS":"Fulcher JA,Hashimi ST,Levroney EL,Pang M,Gurney KB,Baum LG,Lee B","GEOID":"GSE4984","EXACT_SOURCE":"GSE4984_2745_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in monocyte-derived dendritic cells: control versus LPS.","DESCRIPTION_FULL":"Human monocyte derived dendritic cells matured via galectin-1 or LPS."}
{"STANDARD_NAME":"GSE4984_UNTREATED_VS_LPS_TREATED_DC_DN","SYSTEMATIC_NAME":"M6499","ORGANISM":"Homo sapiens","PMID":"16785517","AUTHORS":"Fulcher JA,Hashimi ST,Levroney EL,Pang M,Gurney KB,Baum LG,Lee B","GEOID":"GSE4984","EXACT_SOURCE":"GSE4984_2745_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in monocyte-derived dendritic cells: control versus LPS.","DESCRIPTION_FULL":"Human monocyte derived dendritic cells matured via galectin-1 or LPS."}
{"STANDARD_NAME":"GSE4984_UNTREATED_VS_VEHICLE_CTRL_TREATED_DC_UP","SYSTEMATIC_NAME":"M6500","ORGANISM":"Homo sapiens","PMID":"16785517","AUTHORS":"Fulcher JA,Hashimi ST,Levroney EL,Pang M,Gurney KB,Baum LG,Lee B","GEOID":"GSE4984","EXACT_SOURCE":"GSE4984_2746_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in monocyte-derived dendritic cells: untreated versus vehicle.","DESCRIPTION_FULL":"Human monocyte derived dendritic cells matured via galectin-1 or LPS."}
{"STANDARD_NAME":"GSE4984_UNTREATED_VS_VEHICLE_CTRL_TREATED_DC_DN","SYSTEMATIC_NAME":"M6501","ORGANISM":"Homo sapiens","PMID":"16785517","AUTHORS":"Fulcher JA,Hashimi ST,Levroney EL,Pang M,Gurney KB,Baum LG,Lee B","GEOID":"GSE4984","EXACT_SOURCE":"GSE4984_2746_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in monocyte-derived dendritic cells: untreated versus vehicle.","DESCRIPTION_FULL":"Human monocyte derived dendritic cells matured via galectin-1 or LPS."}
{"STANDARD_NAME":"GSE4984_GALECTIN1_VS_LPS_STIM_DC_UP","SYSTEMATIC_NAME":"M6502","ORGANISM":"Homo sapiens","PMID":"16785517","AUTHORS":"Fulcher JA,Hashimi ST,Levroney EL,Pang M,Gurney KB,Baum LG,Lee B","GEOID":"GSE4984","EXACT_SOURCE":"GSE4984_2747_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in monocyte-derived dendritic cells: LGALS1 [GeneID=3956] versus LPS.","DESCRIPTION_FULL":"Human monocyte derived dendritic cells matured via galectin-1 or LPS."}
{"STANDARD_NAME":"GSE4984_GALECTIN1_VS_LPS_STIM_DC_DN","SYSTEMATIC_NAME":"M6504","ORGANISM":"Homo sapiens","PMID":"16785517","AUTHORS":"Fulcher JA,Hashimi ST,Levroney EL,Pang M,Gurney KB,Baum LG,Lee B","GEOID":"GSE4984","EXACT_SOURCE":"GSE4984_2747_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in monocyte-derived dendritic cells: LGALS1 [GeneID=3956] versus LPS.","DESCRIPTION_FULL":"Human monocyte derived dendritic cells matured via galectin-1 or LPS."}
{"STANDARD_NAME":"GSE4984_GALECTIN1_VS_VEHICLE_CTRL_TREATED_DC_UP","SYSTEMATIC_NAME":"M6505","ORGANISM":"Homo sapiens","PMID":"16785517","AUTHORS":"Fulcher JA,Hashimi ST,Levroney EL,Pang M,Gurney KB,Baum LG,Lee B","GEOID":"GSE4984","EXACT_SOURCE":"GSE4984_2748_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in monocyte-derived dendritic cells: LGALS1 [GeneID=3956] versus vehicle.","DESCRIPTION_FULL":"Human monocyte derived dendritic cells matured via galectin-1 or LPS."}
{"STANDARD_NAME":"GSE4984_GALECTIN1_VS_VEHICLE_CTRL_TREATED_DC_DN","SYSTEMATIC_NAME":"M6507","ORGANISM":"Homo sapiens","PMID":"16785517","AUTHORS":"Fulcher JA,Hashimi ST,Levroney EL,Pang M,Gurney KB,Baum LG,Lee B","GEOID":"GSE4984","EXACT_SOURCE":"GSE4984_2748_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in monocyte-derived dendritic cells: LGALS1 [GeneID=3956] versus vehicle.","DESCRIPTION_FULL":"Human monocyte derived dendritic cells matured via galectin-1 or LPS."}
{"STANDARD_NAME":"GSE4984_LPS_VS_VEHICLE_CTRL_TREATED_DC_UP","SYSTEMATIC_NAME":"M6508","ORGANISM":"Homo sapiens","PMID":"16785517","AUTHORS":"Fulcher JA,Hashimi ST,Levroney EL,Pang M,Gurney KB,Baum LG,Lee B","GEOID":"GSE4984","EXACT_SOURCE":"GSE4984_2749_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in monocyte-derived dendritic cells: LPS versus vehicle.","DESCRIPTION_FULL":"Human monocyte derived dendritic cells matured via galectin-1 or LPS."}
{"STANDARD_NAME":"GSE4984_LPS_VS_VEHICLE_CTRL_TREATED_DC_DN","SYSTEMATIC_NAME":"M6511","ORGANISM":"Homo sapiens","PMID":"16785517","AUTHORS":"Fulcher JA,Hashimi ST,Levroney EL,Pang M,Gurney KB,Baum LG,Lee B","GEOID":"GSE4984","EXACT_SOURCE":"GSE4984_2749_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in monocyte-derived dendritic cells: LPS versus vehicle.","DESCRIPTION_FULL":"Human monocyte derived dendritic cells matured via galectin-1 or LPS."}
{"STANDARD_NAME":"GSE5542_UNTREATED_VS_IFNG_TREATED_EPITHELIAL_CELLS_6H_UP","SYSTEMATIC_NAME":"M6512","ORGANISM":"Homo sapiens","PMID":"16800785","AUTHORS":"Sanda C,Weitzel P,Tsukahara T,Schaley J,Edenberg HJ,Stephens MA,McClintick JN,Blatt LM,Li L,Brodsky L,Taylor MW","GEOID":"GSE5542","EXACT_SOURCE":"GSE5542_3329_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in epithelial cells (6h): untreated versus IFNG [GeneID=3458].","DESCRIPTION_FULL":"Type I and type II interferons (IFNs) bind to different cell surface receptors but activate overlapping signal transduction pathways. We examined the effects of a type I IFN (IFN-acon1) and a type II iFN (IFN-g1b) on gene experession in A549 cells and demonstrate that there is a common set of genes modulated by both IFNs as well as a set of gene specifically regulated by each, reflecting the activation of different signaling pathways. In particualr, IFN-g induced many more genes of the signaling pathways, apoptosis, and cytokine interactions than did IFN-a. Even with genes induced by both IFNs there were distinctive quantitativive differences in expression. IFN-g1b plays a major role in the induction and regulation of the complement pathway. Previous work has shown a synergistic antivral and antiproliferative effect of type I and type II IFNs in cell culture and in the treament of tumors in mice. We demonstrate that a majority of genes showed and additive effect of IFN-acon1 and IFN-g1b, but a subset of gene is synergistically induced; these incluce ISG10, MX2, OAS2, and other genes known to be involved in the antiviral response, TRAIL (TNFSF10) and caspases involved in apoptosis and chemokine genes RANTES, CXCL10, and CXCL11. Greater than additive transcription of some of these genes in the presence of both IFNs was confirmed by real-time kinetic RT-PCR. Elevated induction of many of these genes may be sufficient to explain the synergistic antiviral and antitumor effects of this combination of IFNS in vivo."}
{"STANDARD_NAME":"GSE5542_UNTREATED_VS_IFNG_TREATED_EPITHELIAL_CELLS_6H_DN","SYSTEMATIC_NAME":"M6513","ORGANISM":"Homo sapiens","PMID":"16800785","AUTHORS":"Sanda C,Weitzel P,Tsukahara T,Schaley J,Edenberg HJ,Stephens MA,McClintick JN,Blatt LM,Li L,Brodsky L,Taylor MW","GEOID":"GSE5542","EXACT_SOURCE":"GSE5542_3329_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in epithelial cells (6h): untreated versus IFNG [GeneID=3458].","DESCRIPTION_FULL":"Type I and type II interferons (IFNs) bind to different cell surface receptors but activate overlapping signal transduction pathways. We examined the effects of a type I IFN (IFN-acon1) and a type II iFN (IFN-g1b) on gene experession in A549 cells and demonstrate that there is a common set of genes modulated by both IFNs as well as a set of gene specifically regulated by each, reflecting the activation of different signaling pathways. In particualr, IFN-g induced many more genes of the signaling pathways, apoptosis, and cytokine interactions than did IFN-a. Even with genes induced by both IFNs there were distinctive quantitativive differences in expression. IFN-g1b plays a major role in the induction and regulation of the complement pathway. Previous work has shown a synergistic antivral and antiproliferative effect of type I and type II IFNs in cell culture and in the treament of tumors in mice. We demonstrate that a majority of genes showed and additive effect of IFN-acon1 and IFN-g1b, but a subset of gene is synergistically induced; these incluce ISG10, MX2, OAS2, and other genes known to be involved in the antiviral response, TRAIL (TNFSF10) and caspases involved in apoptosis and chemokine genes RANTES, CXCL10, and CXCL11. Greater than additive transcription of some of these genes in the presence of both IFNs was confirmed by real-time kinetic RT-PCR. Elevated induction of many of these genes may be sufficient to explain the synergistic antiviral and antitumor effects of this combination of IFNS in vivo."}
{"STANDARD_NAME":"GSE5542_UNTREATED_VS_IFNA_TREATED_EPITHELIAL_CELLS_6H_UP","SYSTEMATIC_NAME":"M6514","ORGANISM":"Homo sapiens","PMID":"16800785","AUTHORS":"Sanda C,Weitzel P,Tsukahara T,Schaley J,Edenberg HJ,Stephens MA,McClintick JN,Blatt LM,Li L,Brodsky L,Taylor MW","GEOID":"GSE5542","EXACT_SOURCE":"GSE5542_3330_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in epithelial cells (6h): untreated versus interferon alpha.","DESCRIPTION_FULL":"Type I and type II interferons (IFNs) bind to different cell surface receptors but activate overlapping signal transduction pathways. We examined the effects of a type I IFN (IFN-acon1) and a type II iFN (IFN-g1b) on gene experession in A549 cells and demonstrate that there is a common set of genes modulated by both IFNs as well as a set of gene specifically regulated by each, reflecting the activation of different signaling pathways. In particualr, IFN-g induced many more genes of the signaling pathways, apoptosis, and cytokine interactions than did IFN-a. Even with genes induced by both IFNs there were distinctive quantitativive differences in expression. IFN-g1b plays a major role in the induction and regulation of the complement pathway. Previous work has shown a synergistic antivral and antiproliferative effect of type I and type II IFNs in cell culture and in the treament of tumors in mice. We demonstrate that a majority of genes showed and additive effect of IFN-acon1 and IFN-g1b, but a subset of gene is synergistically induced; these incluce ISG10, MX2, OAS2, and other genes known to be involved in the antiviral response, TRAIL (TNFSF10) and caspases involved in apoptosis and chemokine genes RANTES, CXCL10, and CXCL11. Greater than additive transcription of some of these genes in the presence of both IFNs was confirmed by real-time kinetic RT-PCR. Elevated induction of many of these genes may be sufficient to explain the synergistic antiviral and antitumor effects of this combination of IFNS in vivo."}
{"STANDARD_NAME":"GSE5542_UNTREATED_VS_IFNA_TREATED_EPITHELIAL_CELLS_6H_DN","SYSTEMATIC_NAME":"M6516","ORGANISM":"Homo sapiens","PMID":"16800785","AUTHORS":"Sanda C,Weitzel P,Tsukahara T,Schaley J,Edenberg HJ,Stephens MA,McClintick JN,Blatt LM,Li L,Brodsky L,Taylor MW","GEOID":"GSE5542","EXACT_SOURCE":"GSE5542_3330_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in epithelial cells (6h): untreated versus interferon alpha.","DESCRIPTION_FULL":"Type I and type II interferons (IFNs) bind to different cell surface receptors but activate overlapping signal transduction pathways. We examined the effects of a type I IFN (IFN-acon1) and a type II iFN (IFN-g1b) on gene experession in A549 cells and demonstrate that there is a common set of genes modulated by both IFNs as well as a set of gene specifically regulated by each, reflecting the activation of different signaling pathways. In particualr, IFN-g induced many more genes of the signaling pathways, apoptosis, and cytokine interactions than did IFN-a. Even with genes induced by both IFNs there were distinctive quantitativive differences in expression. IFN-g1b plays a major role in the induction and regulation of the complement pathway. Previous work has shown a synergistic antivral and antiproliferative effect of type I and type II IFNs in cell culture and in the treament of tumors in mice. We demonstrate that a majority of genes showed and additive effect of IFN-acon1 and IFN-g1b, but a subset of gene is synergistically induced; these incluce ISG10, MX2, OAS2, and other genes known to be involved in the antiviral response, TRAIL (TNFSF10) and caspases involved in apoptosis and chemokine genes RANTES, CXCL10, and CXCL11. Greater than additive transcription of some of these genes in the presence of both IFNs was confirmed by real-time kinetic RT-PCR. Elevated induction of many of these genes may be sufficient to explain the synergistic antiviral and antitumor effects of this combination of IFNS in vivo."}
{"STANDARD_NAME":"GSE5542_UNTREATED_VS_IFNA_AND_IFNG_TREATED_EPITHELIAL_CELLS_6H_UP","SYSTEMATIC_NAME":"M6518","ORGANISM":"Homo sapiens","PMID":"16800785","AUTHORS":"Sanda C,Weitzel P,Tsukahara T,Schaley J,Edenberg HJ,Stephens MA,McClintick JN,Blatt LM,Li L,Brodsky L,Taylor MW","GEOID":"GSE5542","EXACT_SOURCE":"GSE5542_3331_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in epithelial cells (6h): untreated versus interferon alpha and IFNG [GeneID=3458].","DESCRIPTION_FULL":"Type I and type II interferons (IFNs) bind to different cell surface receptors but activate overlapping signal transduction pathways. We examined the effects of a type I IFN (IFN-acon1) and a type II iFN (IFN-g1b) on gene experession in A549 cells and demonstrate that there is a common set of genes modulated by both IFNs as well as a set of gene specifically regulated by each, reflecting the activation of different signaling pathways. In particualr, IFN-g induced many more genes of the signaling pathways, apoptosis, and cytokine interactions than did IFN-a. Even with genes induced by both IFNs there were distinctive quantitativive differences in expression. IFN-g1b plays a major role in the induction and regulation of the complement pathway. Previous work has shown a synergistic antivral and antiproliferative effect of type I and type II IFNs in cell culture and in the treament of tumors in mice. We demonstrate that a majority of genes showed and additive effect of IFN-acon1 and IFN-g1b, but a subset of gene is synergistically induced; these incluce ISG10, MX2, OAS2, and other genes known to be involved in the antiviral response, TRAIL (TNFSF10) and caspases involved in apoptosis and chemokine genes RANTES, CXCL10, and CXCL11. Greater than additive transcription of some of these genes in the presence of both IFNs was confirmed by real-time kinetic RT-PCR. Elevated induction of many of these genes may be sufficient to explain the synergistic antiviral and antitumor effects of this combination of IFNS in vivo."}
{"STANDARD_NAME":"GSE5542_UNTREATED_VS_IFNA_AND_IFNG_TREATED_EPITHELIAL_CELLS_6H_DN","SYSTEMATIC_NAME":"M6519","ORGANISM":"Homo sapiens","PMID":"16800785","AUTHORS":"Sanda C,Weitzel P,Tsukahara T,Schaley J,Edenberg HJ,Stephens MA,McClintick JN,Blatt LM,Li L,Brodsky L,Taylor MW","GEOID":"GSE5542","EXACT_SOURCE":"GSE5542_3331_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in epithelial cells (6h): untreated versus interferon alpha and IFNG [GeneID=3458].","DESCRIPTION_FULL":"Type I and type II interferons (IFNs) bind to different cell surface receptors but activate overlapping signal transduction pathways. We examined the effects of a type I IFN (IFN-acon1) and a type II iFN (IFN-g1b) on gene experession in A549 cells and demonstrate that there is a common set of genes modulated by both IFNs as well as a set of gene specifically regulated by each, reflecting the activation of different signaling pathways. In particualr, IFN-g induced many more genes of the signaling pathways, apoptosis, and cytokine interactions than did IFN-a. Even with genes induced by both IFNs there were distinctive quantitativive differences in expression. IFN-g1b plays a major role in the induction and regulation of the complement pathway. Previous work has shown a synergistic antivral and antiproliferative effect of type I and type II IFNs in cell culture and in the treament of tumors in mice. We demonstrate that a majority of genes showed and additive effect of IFN-acon1 and IFN-g1b, but a subset of gene is synergistically induced; these incluce ISG10, MX2, OAS2, and other genes known to be involved in the antiviral response, TRAIL (TNFSF10) and caspases involved in apoptosis and chemokine genes RANTES, CXCL10, and CXCL11. Greater than additive transcription of some of these genes in the presence of both IFNs was confirmed by real-time kinetic RT-PCR. Elevated induction of many of these genes may be sufficient to explain the synergistic antiviral and antitumor effects of this combination of IFNS in vivo."}
{"STANDARD_NAME":"GSE5542_UNTREATED_VS_IFNG_TREATED_EPITHELIAL_CELLS_24H_UP","SYSTEMATIC_NAME":"M6522","ORGANISM":"Homo sapiens","PMID":"16800785","AUTHORS":"Sanda C,Weitzel P,Tsukahara T,Schaley J,Edenberg HJ,Stephens MA,McClintick JN,Blatt LM,Li L,Brodsky L,Taylor MW","GEOID":"GSE5542","EXACT_SOURCE":"GSE5542_3332_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in epithelial cells (24h): untreated versus IFNG [GeneID=3458].","DESCRIPTION_FULL":"Type I and type II interferons (IFNs) bind to different cell surface receptors but activate overlapping signal transduction pathways. We examined the effects of a type I IFN (IFN-acon1) and a type II iFN (IFN-g1b) on gene experession in A549 cells and demonstrate that there is a common set of genes modulated by both IFNs as well as a set of gene specifically regulated by each, reflecting the activation of different signaling pathways. In particualr, IFN-g induced many more genes of the signaling pathways, apoptosis, and cytokine interactions than did IFN-a. Even with genes induced by both IFNs there were distinctive quantitativive differences in expression. IFN-g1b plays a major role in the induction and regulation of the complement pathway. Previous work has shown a synergistic antivral and antiproliferative effect of type I and type II IFNs in cell culture and in the treament of tumors in mice. We demonstrate that a majority of genes showed and additive effect of IFN-acon1 and IFN-g1b, but a subset of gene is synergistically induced; these incluce ISG10, MX2, OAS2, and other genes known to be involved in the antiviral response, TRAIL (TNFSF10) and caspases involved in apoptosis and chemokine genes RANTES, CXCL10, and CXCL11. Greater than additive transcription of some of these genes in the presence of both IFNs was confirmed by real-time kinetic RT-PCR. Elevated induction of many of these genes may be sufficient to explain the synergistic antiviral and antitumor effects of this combination of IFNS in vivo."}
{"STANDARD_NAME":"GSE5542_UNTREATED_VS_IFNG_TREATED_EPITHELIAL_CELLS_24H_DN","SYSTEMATIC_NAME":"M6523","ORGANISM":"Homo sapiens","PMID":"16800785","AUTHORS":"Sanda C,Weitzel P,Tsukahara T,Schaley J,Edenberg HJ,Stephens MA,McClintick JN,Blatt LM,Li L,Brodsky L,Taylor MW","GEOID":"GSE5542","EXACT_SOURCE":"GSE5542_3332_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in epithelial cells (24h): untreated versus IFNG [GeneID=3458].","DESCRIPTION_FULL":"Type I and type II interferons (IFNs) bind to different cell surface receptors but activate overlapping signal transduction pathways. We examined the effects of a type I IFN (IFN-acon1) and a type II iFN (IFN-g1b) on gene experession in A549 cells and demonstrate that there is a common set of genes modulated by both IFNs as well as a set of gene specifically regulated by each, reflecting the activation of different signaling pathways. In particualr, IFN-g induced many more genes of the signaling pathways, apoptosis, and cytokine interactions than did IFN-a. Even with genes induced by both IFNs there were distinctive quantitativive differences in expression. IFN-g1b plays a major role in the induction and regulation of the complement pathway. Previous work has shown a synergistic antivral and antiproliferative effect of type I and type II IFNs in cell culture and in the treament of tumors in mice. We demonstrate that a majority of genes showed and additive effect of IFN-acon1 and IFN-g1b, but a subset of gene is synergistically induced; these incluce ISG10, MX2, OAS2, and other genes known to be involved in the antiviral response, TRAIL (TNFSF10) and caspases involved in apoptosis and chemokine genes RANTES, CXCL10, and CXCL11. Greater than additive transcription of some of these genes in the presence of both IFNs was confirmed by real-time kinetic RT-PCR. Elevated induction of many of these genes may be sufficient to explain the synergistic antiviral and antitumor effects of this combination of IFNS in vivo."}
{"STANDARD_NAME":"GSE5542_UNTREATED_VS_IFNA_TREATED_EPITHELIAL_CELLS_24H_UP","SYSTEMATIC_NAME":"M6524","ORGANISM":"Homo sapiens","PMID":"16800785","AUTHORS":"Sanda C,Weitzel P,Tsukahara T,Schaley J,Edenberg HJ,Stephens MA,McClintick JN,Blatt LM,Li L,Brodsky L,Taylor MW","GEOID":"GSE5542","EXACT_SOURCE":"GSE5542_3333_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in epithelial cells (24h): untreated versus interferon alpha.","DESCRIPTION_FULL":"Type I and type II interferons (IFNs) bind to different cell surface receptors but activate overlapping signal transduction pathways. We examined the effects of a type I IFN (IFN-acon1) and a type II iFN (IFN-g1b) on gene experession in A549 cells and demonstrate that there is a common set of genes modulated by both IFNs as well as a set of gene specifically regulated by each, reflecting the activation of different signaling pathways. In particualr, IFN-g induced many more genes of the signaling pathways, apoptosis, and cytokine interactions than did IFN-a. Even with genes induced by both IFNs there were distinctive quantitativive differences in expression. IFN-g1b plays a major role in the induction and regulation of the complement pathway. Previous work has shown a synergistic antivral and antiproliferative effect of type I and type II IFNs in cell culture and in the treament of tumors in mice. We demonstrate that a majority of genes showed and additive effect of IFN-acon1 and IFN-g1b, but a subset of gene is synergistically induced; these incluce ISG10, MX2, OAS2, and other genes known to be involved in the antiviral response, TRAIL (TNFSF10) and caspases involved in apoptosis and chemokine genes RANTES, CXCL10, and CXCL11. Greater than additive transcription of some of these genes in the presence of both IFNs was confirmed by real-time kinetic RT-PCR. Elevated induction of many of these genes may be sufficient to explain the synergistic antiviral and antitumor effects of this combination of IFNS in vivo."}
{"STANDARD_NAME":"GSE5542_UNTREATED_VS_IFNA_TREATED_EPITHELIAL_CELLS_24H_DN","SYSTEMATIC_NAME":"M6525","ORGANISM":"Homo sapiens","PMID":"16800785","AUTHORS":"Sanda C,Weitzel P,Tsukahara T,Schaley J,Edenberg HJ,Stephens MA,McClintick JN,Blatt LM,Li L,Brodsky L,Taylor MW","GEOID":"GSE5542","EXACT_SOURCE":"GSE5542_3333_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in epithelial cells (24h): untreated versus interferon alpha.","DESCRIPTION_FULL":"Type I and type II interferons (IFNs) bind to different cell surface receptors but activate overlapping signal transduction pathways. We examined the effects of a type I IFN (IFN-acon1) and a type II iFN (IFN-g1b) on gene experession in A549 cells and demonstrate that there is a common set of genes modulated by both IFNs as well as a set of gene specifically regulated by each, reflecting the activation of different signaling pathways. In particualr, IFN-g induced many more genes of the signaling pathways, apoptosis, and cytokine interactions than did IFN-a. Even with genes induced by both IFNs there were distinctive quantitativive differences in expression. IFN-g1b plays a major role in the induction and regulation of the complement pathway. Previous work has shown a synergistic antivral and antiproliferative effect of type I and type II IFNs in cell culture and in the treament of tumors in mice. We demonstrate that a majority of genes showed and additive effect of IFN-acon1 and IFN-g1b, but a subset of gene is synergistically induced; these incluce ISG10, MX2, OAS2, and other genes known to be involved in the antiviral response, TRAIL (TNFSF10) and caspases involved in apoptosis and chemokine genes RANTES, CXCL10, and CXCL11. Greater than additive transcription of some of these genes in the presence of both IFNs was confirmed by real-time kinetic RT-PCR. Elevated induction of many of these genes may be sufficient to explain the synergistic antiviral and antitumor effects of this combination of IFNS in vivo."}
{"STANDARD_NAME":"GSE5542_UNTREATED_VS_IFNA_AND_IFNG_TREATED_EPITHELIAL_CELLS_24H_UP","SYSTEMATIC_NAME":"M6527","ORGANISM":"Homo sapiens","PMID":"16800785","AUTHORS":"Sanda C,Weitzel P,Tsukahara T,Schaley J,Edenberg HJ,Stephens MA,McClintick JN,Blatt LM,Li L,Brodsky L,Taylor MW","GEOID":"GSE5542","EXACT_SOURCE":"GSE5542_3334_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in epithelial cells (24h): untreated versus interferon alpha and IFNG [GeneID=3458].","DESCRIPTION_FULL":"Type I and type II interferons (IFNs) bind to different cell surface receptors but activate overlapping signal transduction pathways. We examined the effects of a type I IFN (IFN-acon1) and a type II iFN (IFN-g1b) on gene experession in A549 cells and demonstrate that there is a common set of genes modulated by both IFNs as well as a set of gene specifically regulated by each, reflecting the activation of different signaling pathways. In particualr, IFN-g induced many more genes of the signaling pathways, apoptosis, and cytokine interactions than did IFN-a. Even with genes induced by both IFNs there were distinctive quantitativive differences in expression. IFN-g1b plays a major role in the induction and regulation of the complement pathway. Previous work has shown a synergistic antivral and antiproliferative effect of type I and type II IFNs in cell culture and in the treament of tumors in mice. We demonstrate that a majority of genes showed and additive effect of IFN-acon1 and IFN-g1b, but a subset of gene is synergistically induced; these incluce ISG10, MX2, OAS2, and other genes known to be involved in the antiviral response, TRAIL (TNFSF10) and caspases involved in apoptosis and chemokine genes RANTES, CXCL10, and CXCL11. Greater than additive transcription of some of these genes in the presence of both IFNs was confirmed by real-time kinetic RT-PCR. Elevated induction of many of these genes may be sufficient to explain the synergistic antiviral and antitumor effects of this combination of IFNS in vivo."}
{"STANDARD_NAME":"GSE5542_UNTREATED_VS_IFNA_AND_IFNG_TREATED_EPITHELIAL_CELLS_24H_DN","SYSTEMATIC_NAME":"M6529","ORGANISM":"Homo sapiens","PMID":"16800785","AUTHORS":"Sanda C,Weitzel P,Tsukahara T,Schaley J,Edenberg HJ,Stephens MA,McClintick JN,Blatt LM,Li L,Brodsky L,Taylor MW","GEOID":"GSE5542","EXACT_SOURCE":"GSE5542_3334_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in epithelial cells (24h): untreated versus interferon alpha and IFNG [GeneID=3458].","DESCRIPTION_FULL":"Type I and type II interferons (IFNs) bind to different cell surface receptors but activate overlapping signal transduction pathways. We examined the effects of a type I IFN (IFN-acon1) and a type II iFN (IFN-g1b) on gene experession in A549 cells and demonstrate that there is a common set of genes modulated by both IFNs as well as a set of gene specifically regulated by each, reflecting the activation of different signaling pathways. In particualr, IFN-g induced many more genes of the signaling pathways, apoptosis, and cytokine interactions than did IFN-a. Even with genes induced by both IFNs there were distinctive quantitativive differences in expression. IFN-g1b plays a major role in the induction and regulation of the complement pathway. Previous work has shown a synergistic antivral and antiproliferative effect of type I and type II IFNs in cell culture and in the treament of tumors in mice. We demonstrate that a majority of genes showed and additive effect of IFN-acon1 and IFN-g1b, but a subset of gene is synergistically induced; these incluce ISG10, MX2, OAS2, and other genes known to be involved in the antiviral response, TRAIL (TNFSF10) and caspases involved in apoptosis and chemokine genes RANTES, CXCL10, and CXCL11. Greater than additive transcription of some of these genes in the presence of both IFNs was confirmed by real-time kinetic RT-PCR. Elevated induction of many of these genes may be sufficient to explain the synergistic antiviral and antitumor effects of this combination of IFNS in vivo."}
{"STANDARD_NAME":"GSE5542_IFNG_VS_IFNA_AND_IFNG_TREATED_EPITHELIAL_CELLS_6H_UP","SYSTEMATIC_NAME":"M6531","ORGANISM":"Homo sapiens","PMID":"16800785","AUTHORS":"Sanda C,Weitzel P,Tsukahara T,Schaley J,Edenberg HJ,Stephens MA,McClintick JN,Blatt LM,Li L,Brodsky L,Taylor MW","GEOID":"GSE5542","EXACT_SOURCE":"GSE5542_3335_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in epithelial cells (6h): IFNG [GeneID=3458] versus IFNG [GeneID=3458] and interferon alpha.","DESCRIPTION_FULL":"Type I and type II interferons (IFNs) bind to different cell surface receptors but activate overlapping signal transduction pathways. We examined the effects of a type I IFN (IFN-acon1) and a type II iFN (IFN-g1b) on gene experession in A549 cells and demonstrate that there is a common set of genes modulated by both IFNs as well as a set of gene specifically regulated by each, reflecting the activation of different signaling pathways. In particualr, IFN-g induced many more genes of the signaling pathways, apoptosis, and cytokine interactions than did IFN-a. Even with genes induced by both IFNs there were distinctive quantitativive differences in expression. IFN-g1b plays a major role in the induction and regulation of the complement pathway. Previous work has shown a synergistic antivral and antiproliferative effect of type I and type II IFNs in cell culture and in the treament of tumors in mice. We demonstrate that a majority of genes showed and additive effect of IFN-acon1 and IFN-g1b, but a subset of gene is synergistically induced; these incluce ISG10, MX2, OAS2, and other genes known to be involved in the antiviral response, TRAIL (TNFSF10) and caspases involved in apoptosis and chemokine genes RANTES, CXCL10, and CXCL11. Greater than additive transcription of some of these genes in the presence of both IFNs was confirmed by real-time kinetic RT-PCR. Elevated induction of many of these genes may be sufficient to explain the synergistic antiviral and antitumor effects of this combination of IFNS in vivo."}
{"STANDARD_NAME":"GSE5542_IFNG_VS_IFNA_AND_IFNG_TREATED_EPITHELIAL_CELLS_6H_DN","SYSTEMATIC_NAME":"M6533","ORGANISM":"Homo sapiens","PMID":"16800785","AUTHORS":"Sanda C,Weitzel P,Tsukahara T,Schaley J,Edenberg HJ,Stephens MA,McClintick JN,Blatt LM,Li L,Brodsky L,Taylor MW","GEOID":"GSE5542","EXACT_SOURCE":"GSE5542_3335_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in epithelial cells (6h): IFNG [GeneID=3458] versus IFNG [GeneID=3458] and interferon alpha.","DESCRIPTION_FULL":"Type I and type II interferons (IFNs) bind to different cell surface receptors but activate overlapping signal transduction pathways. We examined the effects of a type I IFN (IFN-acon1) and a type II iFN (IFN-g1b) on gene experession in A549 cells and demonstrate that there is a common set of genes modulated by both IFNs as well as a set of gene specifically regulated by each, reflecting the activation of different signaling pathways. In particualr, IFN-g induced many more genes of the signaling pathways, apoptosis, and cytokine interactions than did IFN-a. Even with genes induced by both IFNs there were distinctive quantitativive differences in expression. IFN-g1b plays a major role in the induction and regulation of the complement pathway. Previous work has shown a synergistic antivral and antiproliferative effect of type I and type II IFNs in cell culture and in the treament of tumors in mice. We demonstrate that a majority of genes showed and additive effect of IFN-acon1 and IFN-g1b, but a subset of gene is synergistically induced; these incluce ISG10, MX2, OAS2, and other genes known to be involved in the antiviral response, TRAIL (TNFSF10) and caspases involved in apoptosis and chemokine genes RANTES, CXCL10, and CXCL11. Greater than additive transcription of some of these genes in the presence of both IFNs was confirmed by real-time kinetic RT-PCR. Elevated induction of many of these genes may be sufficient to explain the synergistic antiviral and antitumor effects of this combination of IFNS in vivo."}
{"STANDARD_NAME":"GSE5542_IFNG_VS_IFNA_AND_IFNG_TREATED_EPITHELIAL_CELLS_24H_UP","SYSTEMATIC_NAME":"M6535","ORGANISM":"Homo sapiens","PMID":"16800785","AUTHORS":"Sanda C,Weitzel P,Tsukahara T,Schaley J,Edenberg HJ,Stephens MA,McClintick JN,Blatt LM,Li L,Brodsky L,Taylor MW","GEOID":"GSE5542","EXACT_SOURCE":"GSE5542_3336_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in epithelial cells (24h): IFNG [GeneID=3458] versus IFNG [GeneID=3458] and interferon alpha.","DESCRIPTION_FULL":"Type I and type II interferons (IFNs) bind to different cell surface receptors but activate overlapping signal transduction pathways. We examined the effects of a type I IFN (IFN-acon1) and a type II iFN (IFN-g1b) on gene experession in A549 cells and demonstrate that there is a common set of genes modulated by both IFNs as well as a set of gene specifically regulated by each, reflecting the activation of different signaling pathways. In particualr, IFN-g induced many more genes of the signaling pathways, apoptosis, and cytokine interactions than did IFN-a. Even with genes induced by both IFNs there were distinctive quantitativive differences in expression. IFN-g1b plays a major role in the induction and regulation of the complement pathway. Previous work has shown a synergistic antivral and antiproliferative effect of type I and type II IFNs in cell culture and in the treament of tumors in mice. We demonstrate that a majority of genes showed and additive effect of IFN-acon1 and IFN-g1b, but a subset of gene is synergistically induced; these incluce ISG10, MX2, OAS2, and other genes known to be involved in the antiviral response, TRAIL (TNFSF10) and caspases involved in apoptosis and chemokine genes RANTES, CXCL10, and CXCL11. Greater than additive transcription of some of these genes in the presence of both IFNs was confirmed by real-time kinetic RT-PCR. Elevated induction of many of these genes may be sufficient to explain the synergistic antiviral and antitumor effects of this combination of IFNS in vivo."}
{"STANDARD_NAME":"GSE5542_IFNG_VS_IFNA_AND_IFNG_TREATED_EPITHELIAL_CELLS_24H_DN","SYSTEMATIC_NAME":"M6536","ORGANISM":"Homo sapiens","PMID":"16800785","AUTHORS":"Sanda C,Weitzel P,Tsukahara T,Schaley J,Edenberg HJ,Stephens MA,McClintick JN,Blatt LM,Li L,Brodsky L,Taylor MW","GEOID":"GSE5542","EXACT_SOURCE":"GSE5542_3336_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in epithelial cells (24h): IFNG [GeneID=3458] versus IFNG [GeneID=3458] and interferon alpha.","DESCRIPTION_FULL":"Type I and type II interferons (IFNs) bind to different cell surface receptors but activate overlapping signal transduction pathways. We examined the effects of a type I IFN (IFN-acon1) and a type II iFN (IFN-g1b) on gene experession in A549 cells and demonstrate that there is a common set of genes modulated by both IFNs as well as a set of gene specifically regulated by each, reflecting the activation of different signaling pathways. In particualr, IFN-g induced many more genes of the signaling pathways, apoptosis, and cytokine interactions than did IFN-a. Even with genes induced by both IFNs there were distinctive quantitativive differences in expression. IFN-g1b plays a major role in the induction and regulation of the complement pathway. Previous work has shown a synergistic antivral and antiproliferative effect of type I and type II IFNs in cell culture and in the treament of tumors in mice. We demonstrate that a majority of genes showed and additive effect of IFN-acon1 and IFN-g1b, but a subset of gene is synergistically induced; these incluce ISG10, MX2, OAS2, and other genes known to be involved in the antiviral response, TRAIL (TNFSF10) and caspases involved in apoptosis and chemokine genes RANTES, CXCL10, and CXCL11. Greater than additive transcription of some of these genes in the presence of both IFNs was confirmed by real-time kinetic RT-PCR. Elevated induction of many of these genes may be sufficient to explain the synergistic antiviral and antitumor effects of this combination of IFNS in vivo."}
{"STANDARD_NAME":"GSE5542_IFNA_VS_IFNA_AND_IFNG_TREATED_EPITHELIAL_CELLS_6H_UP","SYSTEMATIC_NAME":"M6537","ORGANISM":"Homo sapiens","PMID":"16800785","AUTHORS":"Sanda C,Weitzel P,Tsukahara T,Schaley J,Edenberg HJ,Stephens MA,McClintick JN,Blatt LM,Li L,Brodsky L,Taylor MW","GEOID":"GSE5542","EXACT_SOURCE":"GSE5542_3337_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in epithelial cells (6h): interferon alpha versus interferon alpha and IFNG [GeneID=3458].","DESCRIPTION_FULL":"Type I and type II interferons (IFNs) bind to different cell surface receptors but activate overlapping signal transduction pathways. We examined the effects of a type I IFN (IFN-acon1) and a type II iFN (IFN-g1b) on gene experession in A549 cells and demonstrate that there is a common set of genes modulated by both IFNs as well as a set of gene specifically regulated by each, reflecting the activation of different signaling pathways. In particualr, IFN-g induced many more genes of the signaling pathways, apoptosis, and cytokine interactions than did IFN-a. Even with genes induced by both IFNs there were distinctive quantitativive differences in expression. IFN-g1b plays a major role in the induction and regulation of the complement pathway. Previous work has shown a synergistic antivral and antiproliferative effect of type I and type II IFNs in cell culture and in the treament of tumors in mice. We demonstrate that a majority of genes showed and additive effect of IFN-acon1 and IFN-g1b, but a subset of gene is synergistically induced; these incluce ISG10, MX2, OAS2, and other genes known to be involved in the antiviral response, TRAIL (TNFSF10) and caspases involved in apoptosis and chemokine genes RANTES, CXCL10, and CXCL11. Greater than additive transcription of some of these genes in the presence of both IFNs was confirmed by real-time kinetic RT-PCR. Elevated induction of many of these genes may be sufficient to explain the synergistic antiviral and antitumor effects of this combination of IFNS in vivo."}
{"STANDARD_NAME":"GSE5542_IFNA_VS_IFNA_AND_IFNG_TREATED_EPITHELIAL_CELLS_6H_DN","SYSTEMATIC_NAME":"M6538","ORGANISM":"Homo sapiens","PMID":"16800785","AUTHORS":"Sanda C,Weitzel P,Tsukahara T,Schaley J,Edenberg HJ,Stephens MA,McClintick JN,Blatt LM,Li L,Brodsky L,Taylor MW","GEOID":"GSE5542","EXACT_SOURCE":"GSE5542_3337_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in epithelial cells (6h): interferon alpha versus interferon alpha and IFNG [GeneID=3458].","DESCRIPTION_FULL":"Type I and type II interferons (IFNs) bind to different cell surface receptors but activate overlapping signal transduction pathways. We examined the effects of a type I IFN (IFN-acon1) and a type II iFN (IFN-g1b) on gene experession in A549 cells and demonstrate that there is a common set of genes modulated by both IFNs as well as a set of gene specifically regulated by each, reflecting the activation of different signaling pathways. In particualr, IFN-g induced many more genes of the signaling pathways, apoptosis, and cytokine interactions than did IFN-a. Even with genes induced by both IFNs there were distinctive quantitativive differences in expression. IFN-g1b plays a major role in the induction and regulation of the complement pathway. Previous work has shown a synergistic antivral and antiproliferative effect of type I and type II IFNs in cell culture and in the treament of tumors in mice. We demonstrate that a majority of genes showed and additive effect of IFN-acon1 and IFN-g1b, but a subset of gene is synergistically induced; these incluce ISG10, MX2, OAS2, and other genes known to be involved in the antiviral response, TRAIL (TNFSF10) and caspases involved in apoptosis and chemokine genes RANTES, CXCL10, and CXCL11. Greater than additive transcription of some of these genes in the presence of both IFNs was confirmed by real-time kinetic RT-PCR. Elevated induction of many of these genes may be sufficient to explain the synergistic antiviral and antitumor effects of this combination of IFNS in vivo."}
{"STANDARD_NAME":"GSE5542_IFNA_VS_IFNA_AND_IFNG_TREATED_EPITHELIAL_CELLS_24H_UP","SYSTEMATIC_NAME":"M6539","ORGANISM":"Homo sapiens","PMID":"16800785","AUTHORS":"Sanda C,Weitzel P,Tsukahara T,Schaley J,Edenberg HJ,Stephens MA,McClintick JN,Blatt LM,Li L,Brodsky L,Taylor MW","GEOID":"GSE5542","EXACT_SOURCE":"GSE5542_3338_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in epithelial cells (24h): interferon alpha versus interferon alpha and IFNG [GeneID=3458].","DESCRIPTION_FULL":"Type I and type II interferons (IFNs) bind to different cell surface receptors but activate overlapping signal transduction pathways. We examined the effects of a type I IFN (IFN-acon1) and a type II iFN (IFN-g1b) on gene experession in A549 cells and demonstrate that there is a common set of genes modulated by both IFNs as well as a set of gene specifically regulated by each, reflecting the activation of different signaling pathways. In particualr, IFN-g induced many more genes of the signaling pathways, apoptosis, and cytokine interactions than did IFN-a. Even with genes induced by both IFNs there were distinctive quantitativive differences in expression. IFN-g1b plays a major role in the induction and regulation of the complement pathway. Previous work has shown a synergistic antivral and antiproliferative effect of type I and type II IFNs in cell culture and in the treament of tumors in mice. We demonstrate that a majority of genes showed and additive effect of IFN-acon1 and IFN-g1b, but a subset of gene is synergistically induced; these incluce ISG10, MX2, OAS2, and other genes known to be involved in the antiviral response, TRAIL (TNFSF10) and caspases involved in apoptosis and chemokine genes RANTES, CXCL10, and CXCL11. Greater than additive transcription of some of these genes in the presence of both IFNs was confirmed by real-time kinetic RT-PCR. Elevated induction of many of these genes may be sufficient to explain the synergistic antiviral and antitumor effects of this combination of IFNS in vivo."}
{"STANDARD_NAME":"GSE5542_IFNA_VS_IFNA_AND_IFNG_TREATED_EPITHELIAL_CELLS_24H_DN","SYSTEMATIC_NAME":"M6540","ORGANISM":"Homo sapiens","PMID":"16800785","AUTHORS":"Sanda C,Weitzel P,Tsukahara T,Schaley J,Edenberg HJ,Stephens MA,McClintick JN,Blatt LM,Li L,Brodsky L,Taylor MW","GEOID":"GSE5542","EXACT_SOURCE":"GSE5542_3338_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in epithelial cells (24h): interferon alpha versus interferon alpha and IFNG [GeneID=3458].","DESCRIPTION_FULL":"Type I and type II interferons (IFNs) bind to different cell surface receptors but activate overlapping signal transduction pathways. We examined the effects of a type I IFN (IFN-acon1) and a type II iFN (IFN-g1b) on gene experession in A549 cells and demonstrate that there is a common set of genes modulated by both IFNs as well as a set of gene specifically regulated by each, reflecting the activation of different signaling pathways. In particualr, IFN-g induced many more genes of the signaling pathways, apoptosis, and cytokine interactions than did IFN-a. Even with genes induced by both IFNs there were distinctive quantitativive differences in expression. IFN-g1b plays a major role in the induction and regulation of the complement pathway. Previous work has shown a synergistic antivral and antiproliferative effect of type I and type II IFNs in cell culture and in the treament of tumors in mice. We demonstrate that a majority of genes showed and additive effect of IFN-acon1 and IFN-g1b, but a subset of gene is synergistically induced; these incluce ISG10, MX2, OAS2, and other genes known to be involved in the antiviral response, TRAIL (TNFSF10) and caspases involved in apoptosis and chemokine genes RANTES, CXCL10, and CXCL11. Greater than additive transcription of some of these genes in the presence of both IFNs was confirmed by real-time kinetic RT-PCR. Elevated induction of many of these genes may be sufficient to explain the synergistic antiviral and antitumor effects of this combination of IFNS in vivo."}
{"STANDARD_NAME":"GSE5542_IFNG_VS_IFNA_TREATED_EPITHELIAL_CELLS_6H_UP","SYSTEMATIC_NAME":"M6542","ORGANISM":"Homo sapiens","PMID":"16800785","AUTHORS":"Sanda C,Weitzel P,Tsukahara T,Schaley J,Edenberg HJ,Stephens MA,McClintick JN,Blatt LM,Li L,Brodsky L,Taylor MW","GEOID":"GSE5542","EXACT_SOURCE":"GSE5542_3339_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in epithelial cells (6h): IFNG [GeneID=3458] versus interferon alpha.","DESCRIPTION_FULL":"Type I and type II interferons (IFNs) bind to different cell surface receptors but activate overlapping signal transduction pathways. We examined the effects of a type I IFN (IFN-acon1) and a type II iFN (IFN-g1b) on gene experession in A549 cells and demonstrate that there is a common set of genes modulated by both IFNs as well as a set of gene specifically regulated by each, reflecting the activation of different signaling pathways. In particualr, IFN-g induced many more genes of the signaling pathways, apoptosis, and cytokine interactions than did IFN-a. Even with genes induced by both IFNs there were distinctive quantitativive differences in expression. IFN-g1b plays a major role in the induction and regulation of the complement pathway. Previous work has shown a synergistic antivral and antiproliferative effect of type I and type II IFNs in cell culture and in the treament of tumors in mice. We demonstrate that a majority of genes showed and additive effect of IFN-acon1 and IFN-g1b, but a subset of gene is synergistically induced; these incluce ISG10, MX2, OAS2, and other genes known to be involved in the antiviral response, TRAIL (TNFSF10) and caspases involved in apoptosis and chemokine genes RANTES, CXCL10, and CXCL11. Greater than additive transcription of some of these genes in the presence of both IFNs was confirmed by real-time kinetic RT-PCR. Elevated induction of many of these genes may be sufficient to explain the synergistic antiviral and antitumor effects of this combination of IFNS in vivo."}
{"STANDARD_NAME":"GSE5542_IFNG_VS_IFNA_TREATED_EPITHELIAL_CELLS_6H_DN","SYSTEMATIC_NAME":"M6543","ORGANISM":"Homo sapiens","PMID":"16800785","AUTHORS":"Sanda C,Weitzel P,Tsukahara T,Schaley J,Edenberg HJ,Stephens MA,McClintick JN,Blatt LM,Li L,Brodsky L,Taylor MW","GEOID":"GSE5542","EXACT_SOURCE":"GSE5542_3339_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in epithelial cells (6h): IFNG [GeneID=3458] versus interferon alpha.","DESCRIPTION_FULL":"Type I and type II interferons (IFNs) bind to different cell surface receptors but activate overlapping signal transduction pathways. We examined the effects of a type I IFN (IFN-acon1) and a type II iFN (IFN-g1b) on gene experession in A549 cells and demonstrate that there is a common set of genes modulated by both IFNs as well as a set of gene specifically regulated by each, reflecting the activation of different signaling pathways. In particualr, IFN-g induced many more genes of the signaling pathways, apoptosis, and cytokine interactions than did IFN-a. Even with genes induced by both IFNs there were distinctive quantitativive differences in expression. IFN-g1b plays a major role in the induction and regulation of the complement pathway. Previous work has shown a synergistic antivral and antiproliferative effect of type I and type II IFNs in cell culture and in the treament of tumors in mice. We demonstrate that a majority of genes showed and additive effect of IFN-acon1 and IFN-g1b, but a subset of gene is synergistically induced; these incluce ISG10, MX2, OAS2, and other genes known to be involved in the antiviral response, TRAIL (TNFSF10) and caspases involved in apoptosis and chemokine genes RANTES, CXCL10, and CXCL11. Greater than additive transcription of some of these genes in the presence of both IFNs was confirmed by real-time kinetic RT-PCR. Elevated induction of many of these genes may be sufficient to explain the synergistic antiviral and antitumor effects of this combination of IFNS in vivo."}
{"STANDARD_NAME":"GSE5542_IFNG_VS_IFNA_TREATED_EPITHELIAL_CELLS_24H_UP","SYSTEMATIC_NAME":"M6544","ORGANISM":"Homo sapiens","PMID":"16800785","AUTHORS":"Sanda C,Weitzel P,Tsukahara T,Schaley J,Edenberg HJ,Stephens MA,McClintick JN,Blatt LM,Li L,Brodsky L,Taylor MW","GEOID":"GSE5542","EXACT_SOURCE":"GSE5542_3340_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in epithelial cells (24h): IFNG [GeneID=3458] versus interferon alpha.","DESCRIPTION_FULL":"Type I and type II interferons (IFNs) bind to different cell surface receptors but activate overlapping signal transduction pathways. We examined the effects of a type I IFN (IFN-acon1) and a type II iFN (IFN-g1b) on gene experession in A549 cells and demonstrate that there is a common set of genes modulated by both IFNs as well as a set of gene specifically regulated by each, reflecting the activation of different signaling pathways. In particualr, IFN-g induced many more genes of the signaling pathways, apoptosis, and cytokine interactions than did IFN-a. Even with genes induced by both IFNs there were distinctive quantitativive differences in expression. IFN-g1b plays a major role in the induction and regulation of the complement pathway. Previous work has shown a synergistic antivral and antiproliferative effect of type I and type II IFNs in cell culture and in the treament of tumors in mice. We demonstrate that a majority of genes showed and additive effect of IFN-acon1 and IFN-g1b, but a subset of gene is synergistically induced; these incluce ISG10, MX2, OAS2, and other genes known to be involved in the antiviral response, TRAIL (TNFSF10) and caspases involved in apoptosis and chemokine genes RANTES, CXCL10, and CXCL11. Greater than additive transcription of some of these genes in the presence of both IFNs was confirmed by real-time kinetic RT-PCR. Elevated induction of many of these genes may be sufficient to explain the synergistic antiviral and antitumor effects of this combination of IFNS in vivo."}
{"STANDARD_NAME":"GSE5542_IFNG_VS_IFNA_TREATED_EPITHELIAL_CELLS_24H_DN","SYSTEMATIC_NAME":"M6546","ORGANISM":"Homo sapiens","PMID":"16800785","AUTHORS":"Sanda C,Weitzel P,Tsukahara T,Schaley J,Edenberg HJ,Stephens MA,McClintick JN,Blatt LM,Li L,Brodsky L,Taylor MW","GEOID":"GSE5542","EXACT_SOURCE":"GSE5542_3340_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in epithelial cells (24h): IFNG [GeneID=3458] versus interferon alpha.","DESCRIPTION_FULL":"Type I and type II interferons (IFNs) bind to different cell surface receptors but activate overlapping signal transduction pathways. We examined the effects of a type I IFN (IFN-acon1) and a type II iFN (IFN-g1b) on gene experession in A549 cells and demonstrate that there is a common set of genes modulated by both IFNs as well as a set of gene specifically regulated by each, reflecting the activation of different signaling pathways. In particualr, IFN-g induced many more genes of the signaling pathways, apoptosis, and cytokine interactions than did IFN-a. Even with genes induced by both IFNs there were distinctive quantitativive differences in expression. IFN-g1b plays a major role in the induction and regulation of the complement pathway. Previous work has shown a synergistic antivral and antiproliferative effect of type I and type II IFNs in cell culture and in the treament of tumors in mice. We demonstrate that a majority of genes showed and additive effect of IFN-acon1 and IFN-g1b, but a subset of gene is synergistically induced; these incluce ISG10, MX2, OAS2, and other genes known to be involved in the antiviral response, TRAIL (TNFSF10) and caspases involved in apoptosis and chemokine genes RANTES, CXCL10, and CXCL11. Greater than additive transcription of some of these genes in the presence of both IFNs was confirmed by real-time kinetic RT-PCR. Elevated induction of many of these genes may be sufficient to explain the synergistic antiviral and antitumor effects of this combination of IFNS in vivo."}
{"STANDARD_NAME":"GSE4811_CLASSSICALY_ACTIVATED_VS_TYPE_2_ACTIVATED_MACROPHAGE_UP","SYSTEMATIC_NAME":"M6547","ORGANISM":"Mus musculus","PMID":"16905575","AUTHORS":"Edwards JP,Zhang X,Frauwirth KA,Mosser DM","GEOID":"GSE4811","EXACT_SOURCE":"GSE4811_3341_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in activated macrophages: classically (M1) versus alternative (M2).","DESCRIPTION_FULL":"The purpose of this study is to identify novel markers for the type II activated macrophage, which is generated by classical stimulation in the presence if IgG immune complexes. These cells gererally produce high levels of IL-10 and low levels of IL-12, in comparison to classically activated macrophages. We wish to identify gene expression which is enriched in Type II activated macrophages in comparison to classically activated macrophages."}
{"STANDARD_NAME":"GSE4811_CLASSSICALY_ACTIVATED_VS_TYPE_2_ACTIVATED_MACROPHAGE_DN","SYSTEMATIC_NAME":"M6548","ORGANISM":"Mus musculus","PMID":"16905575","AUTHORS":"Edwards JP,Zhang X,Frauwirth KA,Mosser DM","GEOID":"GSE4811","EXACT_SOURCE":"GSE4811_3341_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in activated macrophages: classically (M1) versus alternative (M2).","DESCRIPTION_FULL":"The purpose of this study is to identify novel markers for the type II activated macrophage, which is generated by classical stimulation in the presence if IgG immune complexes. These cells gererally produce high levels of IL-10 and low levels of IL-12, in comparison to classically activated macrophages. We wish to identify gene expression which is enriched in Type II activated macrophages in comparison to classically activated macrophages."}
{"STANDARD_NAME":"GSE5142_CTRL_VS_HTERT_TRANSDUCED_CD8_TCELL_EARLY_PASSAGE_CLONE_UP","SYSTEMATIC_NAME":"M6549","ORGANISM":"Homo sapiens","PMID":"16951325","AUTHORS":"Menzel O,Migliaccio M,Goldstein DR,Dahoun S,Delorenzi M,Rufer N","GEOID":"GSE5142","EXACT_SOURCE":"GSE5142_3572_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD8 T cells: control versus over-expressing TERT [GeneID=7015].","DESCRIPTION_FULL":"Using CD8+ T lymphocyte clones over-expressing telomerase weinvestigated the molecular mechanisms that regulate T cell proliferation. Transduction and subcloning procedures were performed on CD8 + naive T-cell clones isolated from two different healthy individuals aged between 30 to 35 years (HD1 and HD2). T-cell cloneswere transduced to express hTERT/GFP or GFP alone. HD2 was profiled on U133Plus 2.0 and submitted as a separate GEO series."}
{"STANDARD_NAME":"GSE5142_CTRL_VS_HTERT_TRANSDUCED_CD8_TCELL_EARLY_PASSAGE_CLONE_DN","SYSTEMATIC_NAME":"M6550","ORGANISM":"Homo sapiens","PMID":"16951325","AUTHORS":"Menzel O,Migliaccio M,Goldstein DR,Dahoun S,Delorenzi M,Rufer N","GEOID":"GSE5142","EXACT_SOURCE":"GSE5142_3572_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD8 T cells: control versus over-expressing TERT [GeneID=7015].","DESCRIPTION_FULL":"Using CD8+ T lymphocyte clones over-expressing telomerase weinvestigated the molecular mechanisms that regulate T cell proliferation. Transduction and subcloning procedures were performed on CD8 + naive T-cell clones isolated from two different healthy individuals aged between 30 to 35 years (HD1 and HD2). T-cell cloneswere transduced to express hTERT/GFP or GFP alone. HD2 was profiled on U133Plus 2.0 and submitted as a separate GEO series."}
{"STANDARD_NAME":"GSE5142_HTERT_TRANSDUCED_VS_CTRL_CD8_TCELL_LATE_PASSAGE_CLONE_UP","SYSTEMATIC_NAME":"M6551","ORGANISM":"Homo sapiens","PMID":"16951325","AUTHORS":"Menzel O,Migliaccio M,Goldstein DR,Dahoun S,Delorenzi M,Rufer N","GEOID":"GSE5142","EXACT_SOURCE":"GSE5142_3573_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD8 T cells: early passage clone over-expressing TERT [GeneID=7015] versus late passage control.","DESCRIPTION_FULL":"Using CD8+ T lymphocyte clones over-expressing telomerase weinvestigated the molecular mechanisms that regulate T cell proliferation. Transduction and subcloning procedures were performed on CD8 + naive T-cell clones isolated from two different healthy individuals aged between 30 to 35 years (HD1 and HD2). T-cell cloneswere transduced to express hTERT/GFP or GFP alone. HD2 was profiled on U133Plus 2.0 and submitted as a separate GEO series."}
{"STANDARD_NAME":"GSE5142_HTERT_TRANSDUCED_VS_CTRL_CD8_TCELL_LATE_PASSAGE_CLONE_DN","SYSTEMATIC_NAME":"M6552","ORGANISM":"Homo sapiens","PMID":"16951325","AUTHORS":"Menzel O,Migliaccio M,Goldstein DR,Dahoun S,Delorenzi M,Rufer N","GEOID":"GSE5142","EXACT_SOURCE":"GSE5142_3573_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD8 T cells: early passage clone over-expressing TERT [GeneID=7015] versus late passage control.","DESCRIPTION_FULL":"Using CD8+ T lymphocyte clones over-expressing telomerase weinvestigated the molecular mechanisms that regulate T cell proliferation. Transduction and subcloning procedures were performed on CD8 + naive T-cell clones isolated from two different healthy individuals aged between 30 to 35 years (HD1 and HD2). T-cell cloneswere transduced to express hTERT/GFP or GFP alone. HD2 was profiled on U133Plus 2.0 and submitted as a separate GEO series."}
{"STANDARD_NAME":"GSE5679_CTRL_VS_PPARG_LIGAND_ROSIGLITAZONE_TREATED_DC_UP","SYSTEMATIC_NAME":"M6553","ORGANISM":"Homo sapiens","PMID":"16982809","AUTHORS":"Szatmari I,Pap A,Rühl R,Ma JX,Illarionov PA,Besra GS,Rajnavolgyi E,Dezso B,Nagy L","GEOID":"GSE5679","EXACT_SOURCE":"GSE5679_3388_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in monocyte-derived dendritic cells: untreated versus rosiglitazone [PubChem=77999].","DESCRIPTION_FULL":"Our data indicated that activation of the PPARg nuclear receptor induces a retinoid response in human dendritic cells. In order to assess the contribution of retinoid signaling to the PPARg response we decided to use a combination of pharmacological activators and inhibitors of these pathways. Cells were treated with the synthetic PPARg ligand rosiglitazone (RSG), or with RSG along with the RARa antagonist (AGN193109) to block RARa mediated gene expression, or the RARa specific agonists (AM580) alone. This design allows one to determine if retinoid signaling is a downstream event of PPARg activation and what portion of PPARg regulated genes are regulated via induced retinoid signaling."}
{"STANDARD_NAME":"GSE5679_CTRL_VS_PPARG_LIGAND_ROSIGLITAZONE_TREATED_DC_DN","SYSTEMATIC_NAME":"M6554","ORGANISM":"Homo sapiens","PMID":"16982809","AUTHORS":"Szatmari I,Pap A,Rühl R,Ma JX,Illarionov PA,Besra GS,Rajnavolgyi E,Dezso B,Nagy L","GEOID":"GSE5679","EXACT_SOURCE":"GSE5679_3388_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in monocyte-derived dendritic cells: untreated versus rosiglitazone [PubChem=77999].","DESCRIPTION_FULL":"Our data indicated that activation of the PPARg nuclear receptor induces a retinoid response in human dendritic cells. In order to assess the contribution of retinoid signaling to the PPARg response we decided to use a combination of pharmacological activators and inhibitors of these pathways. Cells were treated with the synthetic PPARg ligand rosiglitazone (RSG), or with RSG along with the RARa antagonist (AGN193109) to block RARa mediated gene expression, or the RARa specific agonists (AM580) alone. This design allows one to determine if retinoid signaling is a downstream event of PPARg activation and what portion of PPARg regulated genes are regulated via induced retinoid signaling."}
{"STANDARD_NAME":"GSE5679_CTRL_VS_RARA_AGONIST_AM580_TREATED_DC_UP","SYSTEMATIC_NAME":"M6555","ORGANISM":"Homo sapiens","PMID":"16982809","AUTHORS":"Szatmari I,Pap A,Rühl R,Ma JX,Illarionov PA,Besra GS,Rajnavolgyi E,Dezso B,Nagy L","GEOID":"GSE5679","EXACT_SOURCE":"GSE5679_3389_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in monocyte-derived dendritic cells: untreated versus AM580 [PubChem=2126].","DESCRIPTION_FULL":"Our data indicated that activation of the PPARg nuclear receptor induces a retinoid response in human dendritic cells. In order to assess the contribution of retinoid signaling to the PPARg response we decided to use a combination of pharmacological activators and inhibitors of these pathways. Cells were treated with the synthetic PPARg ligand rosiglitazone (RSG), or with RSG along with the RARa antagonist (AGN193109) to block RARa mediated gene expression, or the RARa specific agonists (AM580) alone. This design allows one to determine if retinoid signaling is a downstream event of PPARg activation and what portion of PPARg regulated genes are regulated via induced retinoid signaling."}
{"STANDARD_NAME":"GSE5679_CTRL_VS_RARA_AGONIST_AM580_TREATED_DC_DN","SYSTEMATIC_NAME":"M6556","ORGANISM":"Homo sapiens","PMID":"16982809","AUTHORS":"Szatmari I,Pap A,Rühl R,Ma JX,Illarionov PA,Besra GS,Rajnavolgyi E,Dezso B,Nagy L","GEOID":"GSE5679","EXACT_SOURCE":"GSE5679_3389_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in monocyte-derived dendritic cells: untreated versus AM580 [PubChem=2126].","DESCRIPTION_FULL":"Our data indicated that activation of the PPARg nuclear receptor induces a retinoid response in human dendritic cells. In order to assess the contribution of retinoid signaling to the PPARg response we decided to use a combination of pharmacological activators and inhibitors of these pathways. Cells were treated with the synthetic PPARg ligand rosiglitazone (RSG), or with RSG along with the RARa antagonist (AGN193109) to block RARa mediated gene expression, or the RARa specific agonists (AM580) alone. This design allows one to determine if retinoid signaling is a downstream event of PPARg activation and what portion of PPARg regulated genes are regulated via induced retinoid signaling."}
{"STANDARD_NAME":"GSE5679_CTRL_VS_PPARG_LIGAND_ROSIGLITAZONE_AND_RARA_AGONIST_AM580_TREATED_DC_UP","SYSTEMATIC_NAME":"M6558","ORGANISM":"Homo sapiens","PMID":"16982809","AUTHORS":"Szatmari I,Pap A,Rühl R,Ma JX,Illarionov PA,Besra GS,Rajnavolgyi E,Dezso B,Nagy L","GEOID":"GSE5679","EXACT_SOURCE":"GSE5679_3390_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in monocyte-derived dendritic cells: untreated versus rosiglitazone and AM580 [PubChem=77999;2126].","DESCRIPTION_FULL":"Our data indicated that activation of the PPARg nuclear receptor induces a retinoid response in human dendritic cells. In order to assess the contribution of retinoid signaling to the PPARg response we decided to use a combination of pharmacological activators and inhibitors of these pathways. Cells were treated with the synthetic PPARg ligand rosiglitazone (RSG), or with RSG along with the RARa antagonist (AGN193109) to block RARa mediated gene expression, or the RARa specific agonists (AM580) alone. This design allows one to determine if retinoid signaling is a downstream event of PPARg activation and what portion of PPARg regulated genes are regulated via induced retinoid signaling."}
{"STANDARD_NAME":"GSE5679_CTRL_VS_PPARG_LIGAND_ROSIGLITAZONE_AND_RARA_AGONIST_AM580_TREATED_DC_DN","SYSTEMATIC_NAME":"M6560","ORGANISM":"Homo sapiens","PMID":"16982809","AUTHORS":"Szatmari I,Pap A,Rühl R,Ma JX,Illarionov PA,Besra GS,Rajnavolgyi E,Dezso B,Nagy L","GEOID":"GSE5679","EXACT_SOURCE":"GSE5679_3390_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in monocyte-derived dendritic cells: untreated versus rosiglitazone and AM580 [PubChem=77999;2126].","DESCRIPTION_FULL":"Our data indicated that activation of the PPARg nuclear receptor induces a retinoid response in human dendritic cells. In order to assess the contribution of retinoid signaling to the PPARg response we decided to use a combination of pharmacological activators and inhibitors of these pathways. Cells were treated with the synthetic PPARg ligand rosiglitazone (RSG), or with RSG along with the RARa antagonist (AGN193109) to block RARa mediated gene expression, or the RARa specific agonists (AM580) alone. This design allows one to determine if retinoid signaling is a downstream event of PPARg activation and what portion of PPARg regulated genes are regulated via induced retinoid signaling."}
{"STANDARD_NAME":"GSE5679_PPARG_LIGAND_ROSIGLITAZONE_VS_RARA_AGONIST_AM580_TREATED_DC_UP","SYSTEMATIC_NAME":"M6561","ORGANISM":"Homo sapiens","PMID":"16982809","AUTHORS":"Szatmari I,Pap A,Rühl R,Ma JX,Illarionov PA,Besra GS,Rajnavolgyi E,Dezso B,Nagy L","GEOID":"GSE5679","EXACT_SOURCE":"GSE5679_3391_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in monocyte-derived dendritic cells: rosiglitazone [PubChem=77999] versus AM580 [PubChem=2126].","DESCRIPTION_FULL":"Our data indicated that activation of the PPARg nuclear receptor induces a retinoid response in human dendritic cells. In order to assess the contribution of retinoid signaling to the PPARg response we decided to use a combination of pharmacological activators and inhibitors of these pathways. Cells were treated with the synthetic PPARg ligand rosiglitazone (RSG), or with RSG along with the RARa antagonist (AGN193109) to block RARa mediated gene expression, or the RARa specific agonists (AM580) alone. This design allows one to determine if retinoid signaling is a downstream event of PPARg activation and what portion of PPARg regulated genes are regulated via induced retinoid signaling."}
{"STANDARD_NAME":"GSE5679_PPARG_LIGAND_ROSIGLITAZONE_VS_RARA_AGONIST_AM580_TREATED_DC_DN","SYSTEMATIC_NAME":"M6563","ORGANISM":"Homo sapiens","PMID":"16982809","AUTHORS":"Szatmari I,Pap A,Rühl R,Ma JX,Illarionov PA,Besra GS,Rajnavolgyi E,Dezso B,Nagy L","GEOID":"GSE5679","EXACT_SOURCE":"GSE5679_3391_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in monocyte-derived dendritic cells: rosiglitazone [PubChem=77999] versus AM580 [PubChem=2126].","DESCRIPTION_FULL":"Our data indicated that activation of the PPARg nuclear receptor induces a retinoid response in human dendritic cells. In order to assess the contribution of retinoid signaling to the PPARg response we decided to use a combination of pharmacological activators and inhibitors of these pathways. Cells were treated with the synthetic PPARg ligand rosiglitazone (RSG), or with RSG along with the RARa antagonist (AGN193109) to block RARa mediated gene expression, or the RARa specific agonists (AM580) alone. This design allows one to determine if retinoid signaling is a downstream event of PPARg activation and what portion of PPARg regulated genes are regulated via induced retinoid signaling."}
{"STANDARD_NAME":"GSE5679_PPARG_LIGAND_ROSIGLITAZONE_VS_ROSIGLITAZONE_AND_RARA_AGONIST_AM580_TREATED_DC_UP","SYSTEMATIC_NAME":"M6565","ORGANISM":"Homo sapiens","PMID":"16982809","AUTHORS":"Szatmari I,Pap A,Rühl R,Ma JX,Illarionov PA,Besra GS,Rajnavolgyi E,Dezso B,Nagy L","GEOID":"GSE5679","EXACT_SOURCE":"GSE5679_3392_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in monocyte-derived dendritic cells: rosiglitazone [PubChem=77999] versus rosiglitazone and AM580 [PubChem=77999;2126].","DESCRIPTION_FULL":"Our data indicated that activation of the PPARg nuclear receptor induces a retinoid response in human dendritic cells. In order to assess the contribution of retinoid signaling to the PPARg response we decided to use a combination of pharmacological activators and inhibitors of these pathways. Cells were treated with the synthetic PPARg ligand rosiglitazone (RSG), or with RSG along with the RARa antagonist (AGN193109) to block RARa mediated gene expression, or the RARa specific agonists (AM580) alone. This design allows one to determine if retinoid signaling is a downstream event of PPARg activation and what portion of PPARg regulated genes are regulated via induced retinoid signaling."}
{"STANDARD_NAME":"GSE5679_PPARG_LIGAND_ROSIGLITAZONE_VS_ROSIGLITAZONE_AND_RARA_AGONIST_AM580_TREATED_DC_DN","SYSTEMATIC_NAME":"M6567","ORGANISM":"Homo sapiens","PMID":"16982809","AUTHORS":"Szatmari I,Pap A,Rühl R,Ma JX,Illarionov PA,Besra GS,Rajnavolgyi E,Dezso B,Nagy L","GEOID":"GSE5679","EXACT_SOURCE":"GSE5679_3392_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in monocyte-derived dendritic cells: rosiglitazone [PubChem=77999] versus rosiglitazone and AM580 [PubChem=77999;2126].","DESCRIPTION_FULL":"Our data indicated that activation of the PPARg nuclear receptor induces a retinoid response in human dendritic cells. In order to assess the contribution of retinoid signaling to the PPARg response we decided to use a combination of pharmacological activators and inhibitors of these pathways. Cells were treated with the synthetic PPARg ligand rosiglitazone (RSG), or with RSG along with the RARa antagonist (AGN193109) to block RARa mediated gene expression, or the RARa specific agonists (AM580) alone. This design allows one to determine if retinoid signaling is a downstream event of PPARg activation and what portion of PPARg regulated genes are regulated via induced retinoid signaling."}
{"STANDARD_NAME":"GSE5679_RARA_AGONIST_AM580_VS_AM580_AND_ROSIGLITAZONE_TREATED_DC_UP","SYSTEMATIC_NAME":"M6569","ORGANISM":"Homo sapiens","PMID":"16982809","AUTHORS":"Szatmari I,Pap A,Rühl R,Ma JX,Illarionov PA,Besra GS,Rajnavolgyi E,Dezso B,Nagy L","GEOID":"GSE5679","EXACT_SOURCE":"GSE5679_3393_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in monocyte-derived dendritic cells: AM580 [PubChem=2126] versus rosiglitazone and AM580 [PubChem=77999;2126].","DESCRIPTION_FULL":"Our data indicated that activation of the PPARg nuclear receptor induces a retinoid response in human dendritic cells. In order to assess the contribution of retinoid signaling to the PPARg response we decided to use a combination of pharmacological activators and inhibitors of these pathways. Cells were treated with the synthetic PPARg ligand rosiglitazone (RSG), or with RSG along with the RARa antagonist (AGN193109) to block RARa mediated gene expression, or the RARa specific agonists (AM580) alone. This design allows one to determine if retinoid signaling is a downstream event of PPARg activation and what portion of PPARg regulated genes are regulated via induced retinoid signaling."}
{"STANDARD_NAME":"GSE5679_RARA_AGONIST_AM580_VS_AM580_AND_ROSIGLITAZONE_TREATED_DC_DN","SYSTEMATIC_NAME":"M6570","ORGANISM":"Homo sapiens","PMID":"16982809","AUTHORS":"Szatmari I,Pap A,Rühl R,Ma JX,Illarionov PA,Besra GS,Rajnavolgyi E,Dezso B,Nagy L","GEOID":"GSE5679","EXACT_SOURCE":"GSE5679_3393_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in monocyte-derived dendritic cells: AM580 [PubChem=2126] versus rosiglitazone and AM580 [PubChem=77999;2126].","DESCRIPTION_FULL":"Our data indicated that activation of the PPARg nuclear receptor induces a retinoid response in human dendritic cells. In order to assess the contribution of retinoid signaling to the PPARg response we decided to use a combination of pharmacological activators and inhibitors of these pathways. Cells were treated with the synthetic PPARg ligand rosiglitazone (RSG), or with RSG along with the RARa antagonist (AGN193109) to block RARa mediated gene expression, or the RARa specific agonists (AM580) alone. This design allows one to determine if retinoid signaling is a downstream event of PPARg activation and what portion of PPARg regulated genes are regulated via induced retinoid signaling."}
{"STANDARD_NAME":"GSE4535_BM_DERIVED_DC_VS_FOLLICULAR_DC_UP","SYSTEMATIC_NAME":"M6573","ORGANISM":"Mus musculus","PMID":"17015706","AUTHORS":"Nishikawa Y,Hikida M,Magari M,Kanayama N,Mori M,Kitamura H,Kurosaki T,Ohmori H","GEOID":"GSE4535","EXACT_SOURCE":"GSE4535_3052_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in dendritic cells: bone marrow-derived versus follicular.","DESCRIPTION_FULL":"expression profiles of FDC and BMDC are compared"}
{"STANDARD_NAME":"GSE4535_BM_DERIVED_DC_VS_FOLLICULAR_DC_DN","SYSTEMATIC_NAME":"M6574","ORGANISM":"Mus musculus","PMID":"17015706","AUTHORS":"Nishikawa Y,Hikida M,Magari M,Kanayama N,Mori M,Kitamura H,Kurosaki T,Ohmori H","GEOID":"GSE4535","EXACT_SOURCE":"GSE4535_3052_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in dendritic cells: bone marrow-derived versus follicular.","DESCRIPTION_FULL":"expression profiles of FDC and BMDC are compared"}
{"STANDARD_NAME":"GSE5455_HEALTHY_VS_TUMOR_BEARING_MOUSE_SPLEEN_MONOCYTE_UP","SYSTEMATIC_NAME":"M6575","ORGANISM":"Mus musculus","PMID":"17016559","AUTHORS":"Gallina G,Dolcetti L,Serafini P,Santo De C,Marigo I,Colombo MP,Basso G,Brombacher F,Borrello I,Zanovello P,Bicciato S,Bronte V","GEOID":"GSE5455","EXACT_SOURCE":"GSE5455_2445_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in ITGAM+ [GeneID=3684] cells from spleen: healthy versus tumor bearing mice.","DESCRIPTION_FULL":"Active suppression of tumor-specific T lymphocytes can limit the immune-surveillance and immunotherapy efficacy. While tumor-recruited CD11b+ myeloid cells are known mediators of tumor-associated immune dysfunction, the true nature of these suppressive cells and the fine biochemical pathways governing their immunosuppressive activity remain elusive. Here we describe a population of circulating CD11b+/IL-4Rα+, inflammatory-type monocytes that is elicited by growing tumors and activated by IFN-γ released from T lymphocytes. CD11b+/IL-4Rα+ cells produce IL-13 and IFN-γ and integrate the downstream signals of these cytokines to trigger the molecular pathways suppressing antigen-activated CD8+ T lymphocytes. Analogous immunosuppressive circuits are active in CD11b+ cells present within the tumor microenvironment. These suppressor cells challenge the current idea that tumor-conditioned immunosuppressive monocytes/macrophages are alternatively activated. Moreover, our data show how the inflammatory response elicited by tumors has detrimental effects on the adaptive immune system and suggest novel approaches for the treatment of tumorinduced immune dysfunctions."}
{"STANDARD_NAME":"GSE5455_HEALTHY_VS_TUMOR_BEARING_MOUSE_SPLEEN_MONOCYTE_DN","SYSTEMATIC_NAME":"M6576","ORGANISM":"Mus musculus","PMID":"17016559","AUTHORS":"Gallina G,Dolcetti L,Serafini P,Santo De C,Marigo I,Colombo MP,Basso G,Brombacher F,Borrello I,Zanovello P,Bicciato S,Bronte V","GEOID":"GSE5455","EXACT_SOURCE":"GSE5455_2445_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in ITGAM+ [GeneID=3684] cells from spleen: healthy versus tumor bearing mice.","DESCRIPTION_FULL":"Active suppression of tumor-specific T lymphocytes can limit the immune-surveillance and immunotherapy efficacy. While tumor-recruited CD11b+ myeloid cells are known mediators of tumor-associated immune dysfunction, the true nature of these suppressive cells and the fine biochemical pathways governing their immunosuppressive activity remain elusive. Here we describe a population of circulating CD11b+/IL-4Rα+, inflammatory-type monocytes that is elicited by growing tumors and activated by IFN-γ released from T lymphocytes. CD11b+/IL-4Rα+ cells produce IL-13 and IFN-γ and integrate the downstream signals of these cytokines to trigger the molecular pathways suppressing antigen-activated CD8+ T lymphocytes. Analogous immunosuppressive circuits are active in CD11b+ cells present within the tumor microenvironment. These suppressor cells challenge the current idea that tumor-conditioned immunosuppressive monocytes/macrophages are alternatively activated. Moreover, our data show how the inflammatory response elicited by tumors has detrimental effects on the adaptive immune system and suggest novel approaches for the treatment of tumorinduced immune dysfunctions."}
{"STANDARD_NAME":"GSE5455_HEALTHY_VS_TUMOR_BEARING_MOUSE_SPLEEN_MONOCYTE_24H_INCUBATION_UP","SYSTEMATIC_NAME":"M6577","ORGANISM":"Mus musculus","PMID":"17016559","AUTHORS":"Gallina G,Dolcetti L,Serafini P,Santo De C,Marigo I,Colombo MP,Basso G,Brombacher F,Borrello I,Zanovello P,Bicciato S,Bronte V","GEOID":"GSE5455","EXACT_SOURCE":"GSE5455_2446_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in ITGAM+ [GeneID=3684] cells (incubated for 24h in complete medium) from spleen: healthy versus tumor bearing mice.","DESCRIPTION_FULL":"Active suppression of tumor-specific T lymphocytes can limit the immune-surveillance and immunotherapy efficacy. While tumor-recruited CD11b+ myeloid cells are known mediators of tumor-associated immune dysfunction, the true nature of these suppressive cells and the fine biochemical pathways governing their immunosuppressive activity remain elusive. Here we describe a population of circulating CD11b+/IL-4Rα+, inflammatory-type monocytes that is elicited by growing tumors and activated by IFN-γ released from T lymphocytes. CD11b+/IL-4Rα+ cells produce IL-13 and IFN-γ and integrate the downstream signals of these cytokines to trigger the molecular pathways suppressing antigen-activated CD8+ T lymphocytes. Analogous immunosuppressive circuits are active in CD11b+ cells present within the tumor microenvironment. These suppressor cells challenge the current idea that tumor-conditioned immunosuppressive monocytes/macrophages are alternatively activated. Moreover, our data show how the inflammatory response elicited by tumors has detrimental effects on the adaptive immune system and suggest novel approaches for the treatment of tumorinduced immune dysfunctions."}
{"STANDARD_NAME":"GSE5455_HEALTHY_VS_TUMOR_BEARING_MOUSE_SPLEEN_MONOCYTE_24H_INCUBATION_DN","SYSTEMATIC_NAME":"M6578","ORGANISM":"Mus musculus","PMID":"17016559","AUTHORS":"Gallina G,Dolcetti L,Serafini P,Santo De C,Marigo I,Colombo MP,Basso G,Brombacher F,Borrello I,Zanovello P,Bicciato S,Bronte V","GEOID":"GSE5455","EXACT_SOURCE":"GSE5455_2446_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in ITGAM+ [GeneID=3684] cells (incubated for 24h in complete medium) from spleen: healthy versus tumor bearing mice.","DESCRIPTION_FULL":"Active suppression of tumor-specific T lymphocytes can limit the immune-surveillance and immunotherapy efficacy. While tumor-recruited CD11b+ myeloid cells are known mediators of tumor-associated immune dysfunction, the true nature of these suppressive cells and the fine biochemical pathways governing their immunosuppressive activity remain elusive. Here we describe a population of circulating CD11b+/IL-4Rα+, inflammatory-type monocytes that is elicited by growing tumors and activated by IFN-γ released from T lymphocytes. CD11b+/IL-4Rα+ cells produce IL-13 and IFN-γ and integrate the downstream signals of these cytokines to trigger the molecular pathways suppressing antigen-activated CD8+ T lymphocytes. Analogous immunosuppressive circuits are active in CD11b+ cells present within the tumor microenvironment. These suppressor cells challenge the current idea that tumor-conditioned immunosuppressive monocytes/macrophages are alternatively activated. Moreover, our data show how the inflammatory response elicited by tumors has detrimental effects on the adaptive immune system and suggest novel approaches for the treatment of tumorinduced immune dysfunctions."}
{"STANDARD_NAME":"GSE5455_EX_VIVO_VS_POST_24H_INCUBATION_MONOCYTES_FROM_TUMOR_BEARING_MOUSE_UP","SYSTEMATIC_NAME":"M6579","ORGANISM":"Mus musculus","PMID":"17016559","AUTHORS":"Gallina G,Dolcetti L,Serafini P,Santo De C,Marigo I,Colombo MP,Basso G,Brombacher F,Borrello I,Zanovello P,Bicciato S,Bronte V","GEOID":"GSE5455","EXACT_SOURCE":"GSE5455_2447_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in ITGAM+ [GeneID=3684] cells from spleens of tumor bearing mice: processed immediately versus those incubated for 24h in complete medium.","DESCRIPTION_FULL":"Active suppression of tumor-specific T lymphocytes can limit the immune-surveillance and immunotherapy efficacy. While tumor-recruited CD11b+ myeloid cells are known mediators of tumor-associated immune dysfunction, the true nature of these suppressive cells and the fine biochemical pathways governing their immunosuppressive activity remain elusive. Here we describe a population of circulating CD11b+/IL-4Rα+, inflammatory-type monocytes that is elicited by growing tumors and activated by IFN-γ released from T lymphocytes. CD11b+/IL-4Rα+ cells produce IL-13 and IFN-γ and integrate the downstream signals of these cytokines to trigger the molecular pathways suppressing antigen-activated CD8+ T lymphocytes. Analogous immunosuppressive circuits are active in CD11b+ cells present within the tumor microenvironment. These suppressor cells challenge the current idea that tumor-conditioned immunosuppressive monocytes/macrophages are alternatively activated. Moreover, our data show how the inflammatory response elicited by tumors has detrimental effects on the adaptive immune system and suggest novel approaches for the treatment of tumorinduced immune dysfunctions."}
{"STANDARD_NAME":"GSE5455_EX_VIVO_VS_POST_24H_INCUBATION_MONOCYTES_FROM_TUMOR_BEARING_MOUSE_DN","SYSTEMATIC_NAME":"M6580","ORGANISM":"Mus musculus","PMID":"17016559","AUTHORS":"Gallina G,Dolcetti L,Serafini P,Santo De C,Marigo I,Colombo MP,Basso G,Brombacher F,Borrello I,Zanovello P,Bicciato S,Bronte V","GEOID":"GSE5455","EXACT_SOURCE":"GSE5455_2447_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in ITGAM+ [GeneID=3684] cells from spleens of tumor bearing mice: processed immediately versus those incubated for 24h in complete medium.","DESCRIPTION_FULL":"Active suppression of tumor-specific T lymphocytes can limit the immune-surveillance and immunotherapy efficacy. While tumor-recruited CD11b+ myeloid cells are known mediators of tumor-associated immune dysfunction, the true nature of these suppressive cells and the fine biochemical pathways governing their immunosuppressive activity remain elusive. Here we describe a population of circulating CD11b+/IL-4Rα+, inflammatory-type monocytes that is elicited by growing tumors and activated by IFN-γ released from T lymphocytes. CD11b+/IL-4Rα+ cells produce IL-13 and IFN-γ and integrate the downstream signals of these cytokines to trigger the molecular pathways suppressing antigen-activated CD8+ T lymphocytes. Analogous immunosuppressive circuits are active in CD11b+ cells present within the tumor microenvironment. These suppressor cells challenge the current idea that tumor-conditioned immunosuppressive monocytes/macrophages are alternatively activated. Moreover, our data show how the inflammatory response elicited by tumors has detrimental effects on the adaptive immune system and suggest novel approaches for the treatment of tumorinduced immune dysfunctions."}
{"STANDARD_NAME":"GSE5099_UNSTIM_VS_MCSF_TREATED_MONOCYTE_DAY3_UP","SYSTEMATIC_NAME":"M6581","ORGANISM":"Homo sapiens","PMID":"17082649","AUTHORS":"Martinez FO,Gordon S,Locati M,Mantovani A","GEOID":"GSE5099","EXACT_SOURCE":"GSE5099_3803_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in monocytes: untreated versus CSF1 [GeneID=1435].","DESCRIPTION_FULL":"Monocytes mature tom acrophages in the presence of the lineage determining cytokine M-CSF. They can be further polarized into M1 or M2 macrophages with distinct functional properties. We used microarrays to detail the global programme of gene expression underlying macrophage maturation and polarization and identified distinct classes of up-regulated genes during this process."}
{"STANDARD_NAME":"GSE5099_UNSTIM_VS_MCSF_TREATED_MONOCYTE_DAY3_DN","SYSTEMATIC_NAME":"M6583","ORGANISM":"Homo sapiens","PMID":"17082649","AUTHORS":"Martinez FO,Gordon S,Locati M,Mantovani A","GEOID":"GSE5099","EXACT_SOURCE":"GSE5099_3803_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in monocytes: untreated versus CSF1 [GeneID=1435] knockout at day 3.","DESCRIPTION_FULL":"Monocytes mature tom acrophages in the presence of the lineage determining cytokine M-CSF. They can be further polarized into M1 or M2 macrophages with distinct functional properties. We used microarrays to detail the global programme of gene expression underlying macrophage maturation and polarization and identified distinct classes of up-regulated genes during this process."}
{"STANDARD_NAME":"GSE5099_UNSTIM_VS_MCSF_TREATED_MONOCYTE_DAY7_UP","SYSTEMATIC_NAME":"M6584","ORGANISM":"Homo sapiens","PMID":"17082649","AUTHORS":"Martinez FO,Gordon S,Locati M,Mantovani A","GEOID":"GSE5099","EXACT_SOURCE":"GSE5099_3804_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in unstimulated monocytes versus macrophages incubated with CSF1 [GeneID=435] at day 7.","DESCRIPTION_FULL":"Monocytes mature tom acrophages in the presence of the lineage determining cytokine M-CSF. They can be further polarized into M1 or M2 macrophages with distinct functional properties. We used microarrays to detail the global programme of gene expression underlying macrophage maturation and polarization and identified distinct classes of up-regulated genes during this process."}
{"STANDARD_NAME":"GSE5099_UNSTIM_VS_MCSF_TREATED_MONOCYTE_DAY7_DN","SYSTEMATIC_NAME":"M6585","ORGANISM":"Homo sapiens","PMID":"17082649","AUTHORS":"Martinez FO,Gordon S,Locati M,Mantovani A","GEOID":"GSE5099","EXACT_SOURCE":"GSE5099_3804_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in unstimulated monocytes versus macrophages incubated with CSF1 [GeneID=435] at day 7.","DESCRIPTION_FULL":"Monocytes mature tom acrophages in the presence of the lineage determining cytokine M-CSF. They can be further polarized into M1 or M2 macrophages with distinct functional properties. We used microarrays to detail the global programme of gene expression underlying macrophage maturation and polarization and identified distinct classes of up-regulated genes during this process."}
{"STANDARD_NAME":"GSE5099_MONOCYTE_VS_CLASSICAL_M1_MACROPHAGE_UP","SYSTEMATIC_NAME":"M6586","ORGANISM":"Homo sapiens","PMID":"17082649","AUTHORS":"Martinez FO,Gordon S,Locati M,Mantovani A","GEOID":"GSE5099","EXACT_SOURCE":"GSE5099_3805_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in monocytes versus classically activated (M1) macrophages.","DESCRIPTION_FULL":"Monocytes mature tom acrophages in the presence of the lineage determining cytokine M-CSF. They can be further polarized into M1 or M2 macrophages with distinct functional properties. We used microarrays to detail the global programme of gene expression underlying macrophage maturation and polarization and identified distinct classes of up-regulated genes during this process."}
{"STANDARD_NAME":"GSE5099_MONOCYTE_VS_CLASSICAL_M1_MACROPHAGE_DN","SYSTEMATIC_NAME":"M6587","ORGANISM":"Homo sapiens","PMID":"17082649","AUTHORS":"Martinez FO,Gordon S,Locati M,Mantovani A","GEOID":"GSE5099","EXACT_SOURCE":"GSE5099_3805_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in monocytes versus classically activated (M1) macrophages.","DESCRIPTION_FULL":"Monocytes mature tom acrophages in the presence of the lineage determining cytokine M-CSF. They can be further polarized into M1 or M2 macrophages with distinct functional properties. We used microarrays to detail the global programme of gene expression underlying macrophage maturation and polarization and identified distinct classes of up-regulated genes during this process."}
{"STANDARD_NAME":"GSE5099_MONOCYTE_VS_ALTERNATIVE_M2_MACROPHAGE_UP","SYSTEMATIC_NAME":"M6588","ORGANISM":"Homo sapiens","PMID":"17082649","AUTHORS":"Martinez FO,Gordon S,Locati M,Mantovani A","GEOID":"GSE5099","EXACT_SOURCE":"GSE5099_3806_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in monocytes versus alternatively activated (M2) macrophages.","DESCRIPTION_FULL":"Monocytes mature tom acrophages in the presence of the lineage determining cytokine M-CSF. They can be further polarized into M1 or M2 macrophages with distinct functional properties. We used microarrays to detail the global programme of gene expression underlying macrophage maturation and polarization and identified distinct classes of up-regulated genes during this process."}
{"STANDARD_NAME":"GSE5099_MONOCYTE_VS_ALTERNATIVE_M2_MACROPHAGE_DN","SYSTEMATIC_NAME":"M6589","ORGANISM":"Homo sapiens","PMID":"17082649","AUTHORS":"Martinez FO,Gordon S,Locati M,Mantovani A","GEOID":"GSE5099","EXACT_SOURCE":"GSE5099_3806_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in monocytes versus alternatively activated (M2) macrophages.","DESCRIPTION_FULL":"Monocytes mature tom acrophages in the presence of the lineage determining cytokine M-CSF. They can be further polarized into M1 or M2 macrophages with distinct functional properties. We used microarrays to detail the global programme of gene expression underlying macrophage maturation and polarization and identified distinct classes of up-regulated genes during this process."}
{"STANDARD_NAME":"GSE5099_DAY3_VS_DAY7_MCSF_TREATED_MACROPHAGE_UP","SYSTEMATIC_NAME":"M6592","ORGANISM":"Homo sapiens","PMID":"17082649","AUTHORS":"Martinez FO,Gordon S,Locati M,Mantovani A","GEOID":"GSE5099","EXACT_SOURCE":"GSE5099_3807_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated upon CSF1 [GeneID=1435] treatment: monocytes (3 days) versus macrophages (7 days).","DESCRIPTION_FULL":"Monocytes mature tom acrophages in the presence of the lineage determining cytokine M-CSF. They can be further polarized into M1 or M2 macrophages with distinct functional properties. We used microarrays to detail the global programme of gene expression underlying macrophage maturation and polarization and identified distinct classes of up-regulated genes during this process."}
{"STANDARD_NAME":"GSE5099_DAY3_VS_DAY7_MCSF_TREATED_MACROPHAGE_DN","SYSTEMATIC_NAME":"M6593","ORGANISM":"Homo sapiens","PMID":"17082649","AUTHORS":"Martinez FO,Gordon S,Locati M,Mantovani A","GEOID":"GSE5099","EXACT_SOURCE":"GSE5099_3807_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated upon CSF1 [GeneID=1435] treatment: monocytes (3 days) versus macrophages (7 days).","DESCRIPTION_FULL":"Monocytes mature tom acrophages in the presence of the lineage determining cytokine M-CSF. They can be further polarized into M1 or M2 macrophages with distinct functional properties. We used microarrays to detail the global programme of gene expression underlying macrophage maturation and polarization and identified distinct classes of up-regulated genes during this process."}
{"STANDARD_NAME":"GSE5099_CLASSICAL_M1_VS_ALTERNATIVE_M2_MACROPHAGE_UP","SYSTEMATIC_NAME":"M6595","ORGANISM":"Homo sapiens","PMID":"17082649","AUTHORS":"Martinez FO,Gordon S,Locati M,Mantovani A","GEOID":"GSE5099","EXACT_SOURCE":"GSE5099_3808_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages: classical (M1) versus alternative (M2).","DESCRIPTION_FULL":"Monocytes mature tom acrophages in the presence of the lineage determining cytokine M-CSF. They can be further polarized into M1 or M2 macrophages with distinct functional properties. We used microarrays to detail the global programme of gene expression underlying macrophage maturation and polarization and identified distinct classes of up-regulated genes during this process."}
{"STANDARD_NAME":"GSE5099_CLASSICAL_M1_VS_ALTERNATIVE_M2_MACROPHAGE_DN","SYSTEMATIC_NAME":"M6596","ORGANISM":"Homo sapiens","PMID":"17082649","AUTHORS":"Martinez FO,Gordon S,Locati M,Mantovani A","GEOID":"GSE5099","EXACT_SOURCE":"GSE5099_3808_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages: classical (M1) versus alternative (M2).","DESCRIPTION_FULL":"Monocytes mature tom acrophages in the presence of the lineage determining cytokine M-CSF. They can be further polarized into M1 or M2 macrophages with distinct functional properties. We used microarrays to detail the global programme of gene expression underlying macrophage maturation and polarization and identified distinct classes of up-regulated genes during this process."}
{"STANDARD_NAME":"GSE5589_UNSTIM_VS_45MIN_LPS_STIM_MACROPHAGE_UP","SYSTEMATIC_NAME":"M6597","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_2990_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived macrophages: untreated (0 min) versus LPS (45 min).","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_UNSTIM_VS_45MIN_LPS_STIM_MACROPHAGE_DN","SYSTEMATIC_NAME":"M6599","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_2990_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived macrophages: untreated (0 min) versus LPS (45 min).","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_UNSTIM_VS_180MIN_LPS_STIM_MACROPHAGE_UP","SYSTEMATIC_NAME":"M6600","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_2991_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived macrophages: untreated (0 min) versus LPS (180 min).","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_UNSTIM_VS_180MIN_LPS_STIM_MACROPHAGE_DN","SYSTEMATIC_NAME":"M6601","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_2991_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived macrophages: untreated (0 min) versus LPS (180 min).","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_UNSTIM_VS_45MIN_LPS_AND_IL10_STIM_MACROPHAGE_UP","SYSTEMATIC_NAME":"M6602","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_2992_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived macrophages: untreated (0 min) versus IL10 [GeneID=3586] and LPS (45 min).","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_UNSTIM_VS_45MIN_LPS_AND_IL10_STIM_MACROPHAGE_DN","SYSTEMATIC_NAME":"M6603","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_2992_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived macrophages: untreated (0 min) versus IL10 [GeneID=3586] and LPS (45 min).","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_UNSTIM_VS_180MIN_LPS_AND_IL10_STIM_MACROPHAGE_UP","SYSTEMATIC_NAME":"M6604","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_2993_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived macrophages: untreated (0 min) versus IL10 [GeneID=3586] and LPS (180 min).","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_UNSTIM_VS_180MIN_LPS_AND_IL10_STIM_MACROPHAGE_DN","SYSTEMATIC_NAME":"M6605","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_2993_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived macrophages: untreated (0 min) versus IL10 [GeneID=3586] and LPS (180 min).","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_UNSTIM_VS_45MIN_LPS_AND_IL6_STIM_MACROPHAGE_UP","SYSTEMATIC_NAME":"M6606","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_2994_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived macrophages: untreated (0 min) versus IL6 [GeneID=3569] and LPS (45 min).","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_UNSTIM_VS_45MIN_LPS_AND_IL6_STIM_MACROPHAGE_DN","SYSTEMATIC_NAME":"M6607","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_2994_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived macrophages: untreated (0 min) versus IL6 [GeneID=3569] and LPS (45 min).","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_LPS_VS_LPS_AND_IL10_STIM_MACROPHAGE_45MIN_UP","SYSTEMATIC_NAME":"M6609","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_2996_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived macrophage (45 min): LPS versus IL10 [GeneID=3586] and LPS.","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_LPS_VS_LPS_AND_IL10_STIM_MACROPHAGE_45MIN_DN","SYSTEMATIC_NAME":"M6610","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_2996_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived macrophage (45 min): LPS versus IL10 [GeneID=3586] and LPS.","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_LPS_VS_LPS_AND_IL6_STIM_MACROPHAGE_45MIN_UP","SYSTEMATIC_NAME":"M6611","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_2997_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived macrophage (45 min): LPS versus IL6 [GeneID=3569] and LPS.","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_LPS_VS_LPS_AND_IL6_STIM_MACROPHAGE_45MIN_DN","SYSTEMATIC_NAME":"M6612","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_2997_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived macrophage (45 min): LPS versus IL6 [GeneID=3569] and LPS.","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_LPS_AND_IL10_VS_LPS_AND_IL6_STIM_MACROPHAGE_45MIN_UP","SYSTEMATIC_NAME":"M6613","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_2998_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived macrophages (45 min): IL10 [GeneID=3486] and LPS versus IL6 [GeneID=3469] and LPS.","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_LPS_AND_IL10_VS_LPS_AND_IL6_STIM_MACROPHAGE_45MIN_DN","SYSTEMATIC_NAME":"M6614","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_2998_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived macrophages (45 min): IL10 [GeneID=3486] and LPS versus IL6 [GeneID=3469] and LPS.","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_LPS_VS_LPS_AND_IL10_STIM_MACROPHAGE_180MIN_UP","SYSTEMATIC_NAME":"M6615","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_2999_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived macrophage (180 min): LPS versus IL10 [GeneID=3586] and LPS.","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_LPS_VS_LPS_AND_IL10_STIM_MACROPHAGE_180MIN_DN","SYSTEMATIC_NAME":"M6617","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_2999_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived macrophage (180 min): LPS versus IL10 [GeneID=3586] and LPS.","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_LPS_VS_LPS_AND_IL10_STIM_IL6_KO_MACROPHAGE_45MIN_UP","SYSTEMATIC_NAME":"M6618","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_3000_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived macrophages with IL6 [GeneID=3569] knockout and 45 min of stimulation by: LPS versus IL10 [GeneID=3586] and LPS.","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_LPS_VS_LPS_AND_IL10_STIM_IL6_KO_MACROPHAGE_45MIN_DN","SYSTEMATIC_NAME":"M6619","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_3000_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived macrophages with IL6 [GeneID=3569] knockout and 45 min of stimulation by: LPS versus IL10 [GeneID=3586] and LPS.","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_LPS_VS_LPS_AND_IL6_STIM_IL6_KO_MACROPHAGE_45MIN_UP","SYSTEMATIC_NAME":"M6620","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_3001_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived macrophages with IL6 [GeneID=3569] knockout and 45 min of stimulation by: LPS versus IL6 [GeneID=3569] and LPS.","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_LPS_VS_LPS_AND_IL6_STIM_IL6_KO_MACROPHAGE_45MIN_DN","SYSTEMATIC_NAME":"M6621","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_3001_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived macrophages with IL6 [GeneID=3569] knockout and 45 min of stimulation by: LPS versus IL6 [GeneID=3569] and LPS.","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_LPS_VS_LPS_AND_IL10_STIM_IL6_KO_MACROPHAGE_180MIN_UP","SYSTEMATIC_NAME":"M6623","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_3002_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived macrophages with IL6 [GeneID=3569] knockout and 180 min of stimulation by: LPS versus IL10 [GeneID=3586] and LPS.","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_LPS_VS_LPS_AND_IL10_STIM_IL6_KO_MACROPHAGE_180MIN_DN","SYSTEMATIC_NAME":"M6624","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_3002_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived macrophages with IL6 [GeneID=3569] knockout and 180 min of stimulation by: LPS versus IL10 [GeneID=3586] and LPS.","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_LPS_AND_IL10_VS_LPS_AND_IL6_STIM_IL6_KO_MACROPHAGE_45MIN_UP","SYSTEMATIC_NAME":"M6625","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_3003_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived macrophages with IL6 [GeneID=3469] knockout and 45 min of stimulation by AIL10 [GeneID=3486] and LPS versus IL6 [GeneID=3469] and LPS.","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_LPS_AND_IL10_VS_LPS_AND_IL6_STIM_IL6_KO_MACROPHAGE_45MIN_DN","SYSTEMATIC_NAME":"M6626","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_3003_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived macrophages with IL6 [GeneID=3469] knockout and 45 min of stimulation by AIL10 [GeneID=3486] and LPS versus IL6 [GeneID=3469] and LPS.","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_LPS_VS_LPS_AND_IL10_STIM_IL10_KO_MACROPHAGE_45MIN_UP","SYSTEMATIC_NAME":"M6629","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_3004_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived macrophages with IL10 [GeneID=3486] knockout and 45 min of stimulation by: LPS versus LPS and IL10 [GeneID=3486].","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_LPS_VS_LPS_AND_IL10_STIM_IL10_KO_MACROPHAGE_45MIN_DN","SYSTEMATIC_NAME":"M6630","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_3004_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived macrophages with IL10 [GeneID=3486] knockout and 45 min of stimulation by: LPS versus LPS and IL10 [GeneID=3486].","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_LPS_VS_LPS_AND_IL6_STIM_IL10_KO_MACROPHAGE_45MIN_UP","SYSTEMATIC_NAME":"M6631","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_3005_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived macrophages with IL10 [GeneID=3486] knockout and 45 min stimulation by: LPS versus IL6 [GeneID=3469] and LPS.","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_LPS_VS_LPS_AND_IL6_STIM_IL10_KO_MACROPHAGE_45MIN_DN","SYSTEMATIC_NAME":"M6632","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_3005_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived macrophages with IL10 [GeneID=3486] knockout and 45 min stimulation by: LPS versus IL6 [GeneID=3469] and LPS.","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_LPS_VS_LPS_AND_IL10_STIM_IL10_KO_MACROPHAGE_180MIN_UP","SYSTEMATIC_NAME":"M6633","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_3006_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived macrophages with IL10 [GeneID=3486] and 180 min stimulation of: LPS versus IL10 [GeneID=3486] and LPS.","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_LPS_VS_LPS_AND_IL10_STIM_IL10_KO_MACROPHAGE_180MIN_DN","SYSTEMATIC_NAME":"M6634","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_3006_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived macrophages with IL10 [GeneID=3486] and 180 min stimulation of: LPS versus IL10 [GeneID=3486] and LPS.","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_LPS_AND_IL10_VS_LPS_AND_IL6_STIM_IL10_KO_MACROPHAGE_45MIN_UP","SYSTEMATIC_NAME":"M6635","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_3007_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived macrophages with IL10 [GeneID=3486] knockout and 45 min of stimulation by: LPS versus IL6 [GeneID=3469] and LPS.","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_LPS_AND_IL10_VS_LPS_AND_IL6_STIM_IL10_KO_MACROPHAGE_45MIN_DN","SYSTEMATIC_NAME":"M6636","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_3007_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived macrophages with IL10 [GeneID=3486] knockout and 45 min of stimulation by: LPS versus IL6 [GeneID=3469] and LPS.","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_WT_VS_IL6_KO_LPS_STIM_MACROPHAGE_45MIN_UP","SYSTEMATIC_NAME":"M6638","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_3008_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived macrophages at 45 min stimulation by LPS: wildtype versus IL6 [GeneID=3469] knockout.","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_WT_VS_IL6_KO_LPS_STIM_MACROPHAGE_45MIN_DN","SYSTEMATIC_NAME":"M6639","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_3008_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived macrophages at 45 min stimulation by LPS: wildtype versus IL6 [GeneID=3469] knockout.","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_WT_VS_IL6_KO_LPS_AND_IL10_STIM_MACROPHAGE_45MIN_UP","SYSTEMATIC_NAME":"M6640","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_3009_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived macrophagesat 45 min stimulation of IL10 [GeneID=3486] and LPS: wildtype versus IL6 [GeneID=3469] knockout.","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_WT_VS_IL6_KO_LPS_AND_IL10_STIM_MACROPHAGE_45MIN_DN","SYSTEMATIC_NAME":"M6644","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_3009_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived macrophagesat 45 min stimulation of IL10 [GeneID=3486] and LPS: wildtype versus IL6 [GeneID=3469] knockout.","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_WT_VS_IL6_KO_LPS_AND_IL6_STIM_MACROPHAGE_45MIN_UP","SYSTEMATIC_NAME":"M6645","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_3010_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived macrophages at 45 min of stimulation by IL6 [GeneID=3469] and LPS: wildtype versus IL6 [GeneID=3469] knockout.","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_WT_VS_IL6_KO_LPS_AND_IL6_STIM_MACROPHAGE_45MIN_DN","SYSTEMATIC_NAME":"M6646","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_3010_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived macrophages at 45 min of stimulation by IL6 [GeneID=3469] and LPS: wildtype versus IL6 [GeneID=3469] knockout.","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_WT_VS_IL10_KO_LPS_STIM_MACROPHAGE_45MIN_UP","SYSTEMATIC_NAME":"M6647","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_3011_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived macrophages at 45 min of stimulation by LPS: wildtype versus IL10 [GeneID=3486].","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_WT_VS_IL10_KO_LPS_STIM_MACROPHAGE_45MIN_DN","SYSTEMATIC_NAME":"M6648","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_3011_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived macrophages at 45 min of stimulation by LPS: wildtype versus IL10 [GeneID=3486].","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_WT_VS_IL10_KO_LPS_AND_IL10_STIM_MACROPHAGE_45MIN_UP","SYSTEMATIC_NAME":"M6649","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_3012_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived macrophages at 45 min of stimulation by IL10 [GeneID=3486] and LPS: wildtype versus IL10 [GeneID=3486] knockout.","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_WT_VS_IL10_KO_LPS_AND_IL10_STIM_MACROPHAGE_45MIN_DN","SYSTEMATIC_NAME":"M6650","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_3012_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived macrophages at 45 min of stimulation by IL10 [GeneID=3486] and LPS: wildtype versus IL10 [GeneID=3486] knockout.","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_WT_VS_IL10_KO_LPS_AND_IL6_STIM_MACROPHAGE_45MIN_UP","SYSTEMATIC_NAME":"M6651","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_3013_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived macrophages at 45 min of stimulation by IL6 [GeneID=3469] and LPS: wildtype versus IL10 [GeneID=3486] knockout.","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_WT_VS_IL10_KO_LPS_AND_IL6_STIM_MACROPHAGE_45MIN_DN","SYSTEMATIC_NAME":"M6652","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_3013_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived macrophages at 45 min of stimulation by IL6 [GeneID=3469] and LPS: wildtype versus IL10 [GeneID=3486] knockout.","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_IL6_KO_VS_IL10_KO_LPS_STIM_MACROPHAGE_45MIN_UP","SYSTEMATIC_NAME":"M6653","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_3014_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived macrophages at 45 min of stimulation by LPS: IL6 [GeneID=3469] knockout versus IL10 [GeneID=3486] knockout.","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_IL6_KO_VS_IL10_KO_LPS_STIM_MACROPHAGE_45MIN_DN","SYSTEMATIC_NAME":"M6654","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_3014_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived macrophages at 45 min of stimulation by LPS: IL6 [GeneID=3469] knockout versus IL10 [GeneID=3486] knockout.","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_IL6_KO_VS_IL10_KO_LPS_AND_IL10_STIM_MACROPHAGE_45MIN_UP","SYSTEMATIC_NAME":"M6655","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_3015_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived macrophages at 45 min of stimulation by IL10 [GeneID=3486] and LPS: IL6 [GeneID=3469] knockout versus IL10 [GeneID=3486] knockout.","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_IL6_KO_VS_IL10_KO_LPS_AND_IL10_STIM_MACROPHAGE_45MIN_DN","SYSTEMATIC_NAME":"M6660","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_3015_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived macrophages at 45 min of stimulation by IL10 [GeneID=3486] and LPS: IL6 [GeneID=3469] knockout versus IL10 [GeneID=3486] knockout.","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_IL6_KO_VS_IL10_KO_LPS_AND_IL6_STIM_MACROPHAGE_45MIN_UP","SYSTEMATIC_NAME":"M6661","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_3016_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived macrophages (45 min): IL6 [GeneID=3469] knockout stimulated by IL6 [GeneID=3469] and LPS versus IL10 [GeneID=3486] knockout stimulated by and IL6 [GeneID=3469] and LPS.","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_IL6_KO_VS_IL10_KO_LPS_AND_IL6_STIM_MACROPHAGE_45MIN_DN","SYSTEMATIC_NAME":"M6662","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_3016_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived macrophages (45 min): IL6 [GeneID=3469] knockout stimulated by IL6 [GeneID=3469] and LPS versus IL10 [GeneID=3486] knockout stimulated by and IL6 [GeneID=3469] and LPS.","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_IL6_KO_VS_IL10_KO_LPS_STIM_MACROPHAGE_180MIN_UP","SYSTEMATIC_NAME":"M6664","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_3017_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived macrophagesat 180 min stimulation by LPS: IL6 [GeneID=3469] knockout versus IL10 [GeneID=3486] knockout.","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_IL6_KO_VS_IL10_KO_LPS_STIM_MACROPHAGE_180MIN_DN","SYSTEMATIC_NAME":"M6667","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_3017_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived macrophagesat 180 min stimulation by LPS: IL6 [GeneID=3469] knockout versus IL10 [GeneID=3486] knockout.","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_IL6_KO_VS_IL10_KO_LPS_AND_IL10_STIM_MACROPHAGE_180MIN_UP","SYSTEMATIC_NAME":"M6668","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_3018_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived macrophagesat 180 min of stimulation by IL10 [GeneID=3486] and LPS: IL6 [GeneID=3469] knockout versus IL10 [GeneID=3486] knockout.","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_IL6_KO_VS_IL10_KO_LPS_AND_IL10_STIM_MACROPHAGE_180MIN_DN","SYSTEMATIC_NAME":"M6671","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_3018_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived macrophagesat 180 min of stimulation by IL10 [GeneID=3486] and LPS: IL6 [GeneID=3469] knockout versus IL10 [GeneID=3486] knockout.","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_WT_VS_IL10_KO_LPS_STIM_MACROPHAGE_180MIN_UP","SYSTEMATIC_NAME":"M6673","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_3019_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived macrophages at 180 min of stimulation by LPS: wildtype versus IL10 [GeneID=3486] knockout.","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_WT_VS_IL10_KO_LPS_STIM_MACROPHAGE_180MIN_DN","SYSTEMATIC_NAME":"M6675","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_3019_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived macrophages at 180 min of stimulation by LPS: wildtype versus IL10 [GeneID=3486] knockout.","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_WT_VS_IL10_KO_LPS_AND_IL10_STIM_MACROPHAGE_180MIN_UP","SYSTEMATIC_NAME":"M6676","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_3020_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived macrophages at 180 min of stimulation with IL10 [GeneID=3486] and LPS: wildtype versus IL10 [GeneID=3486] knockout.","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_WT_VS_IL10_KO_LPS_AND_IL10_STIM_MACROPHAGE_180MIN_DN","SYSTEMATIC_NAME":"M6677","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_3020_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived macrophages at 180 min of stimulation with IL10 [GeneID=3486] and LPS: wildtype versus IL10 [GeneID=3486] knockout.","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_WT_VS_IL6_KO_LPS_STIM_MACROPHAGE_180MIN_UP","SYSTEMATIC_NAME":"M6678","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_3021_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived macrophages at 180 min of stimulation byLPS: wildtype versus IL6 [GeneID=3469] knockout.","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_WT_VS_IL6_KO_LPS_STIM_MACROPHAGE_180MIN_DN","SYSTEMATIC_NAME":"M6680","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_3021_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived macrophages at 180 min of stimulation byLPS: wildtype versus IL6 [GeneID=3469] knockout.","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_WT_VS_IL6_KO_LPS_AND_IL10_STIM_MACROPHAGE_180MIN_UP","SYSTEMATIC_NAME":"M6681","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_3022_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived macrophages at 180 min of stimulation with IL10 [GeneID=3486] and LPS: wildtype versus IL6 [GeneID=3469] knockout.","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE5589_WT_VS_IL6_KO_LPS_AND_IL10_STIM_MACROPHAGE_180MIN_DN","SYSTEMATIC_NAME":"M6683","ORGANISM":"Mus musculus","PMID":"17114459","AUTHORS":"Kasmi El KC,Holst J,Coffre M,Mielke L,Pauw de A,Lhocine N,Smith AM,Rutschman R,Kaushal D,Shen Y,Suda T,Donnelly RP,Myers MG,Alexander W,Vignali DA,Watowich SS,Ernst M,Hilton DJ,Murray PJ","GEOID":"GSE5589","EXACT_SOURCE":"GSE5589_3022_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived macrophages at 180 min of stimulation with IL10 [GeneID=3486] and LPS: wildtype versus IL6 [GeneID=3469] knockout.","DESCRIPTION_FULL":"IL-10 or IL-6 stimulation of control 129xC57BL/6 murine bone marrow derived macrophages in the presence of LPS. We used microarrays to detail the global programme of gene expression changes in response to IL-6 or IL-10 stimulation in the presence of lipopolysaccharide. BMDMs were isolated from control, IL-6-/-, and IL-10-/- mice on a 129XBL/6 mixed background mice and differentiated in the presence of CSF-1 for 6-7 days. Cells were scraped and plated in 6 well plates at 2x10e6/well. Cells were washed with complete DMEM and rested for 1-2 hr before stimulation with combinations of IL-10 (10 ng/ml), IL-6 (2 ng/ml) or LPS (100 ng/ml) for 45 min or 180 mins. Complete biological replicates were performed."}
{"STANDARD_NAME":"GSE3920_UNTREATED_VS_IFNA_TREATED_ENDOTHELIAL_CELL_UP","SYSTEMATIC_NAME":"M6684","ORGANISM":"Homo sapiens","PMID":"17202376","AUTHORS":"Indraccolo S,Pfeffer U,Minuzzo S,Esposito G,Roni V,Mandruzzato S,Ferrari N,Anfosso L,Dell'Eva R,Noonan DM,Chieco-Bianchi L,Albini A,Amadori A","GEOID":"GSE3920","EXACT_SOURCE":"GSE3920_3481_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in ndothelial cells: untreated versus interferon alpha.","DESCRIPTION_FULL":"IFNs are highly pleiotropic cytokines also endowed with marked anti-angiogenic activity. In this study, the mRNA expression profiles of endothelial cells (EC) exposed in vitro to IFN-alpha, IFN-beta, or IFN-gamma were determined. We found that in HUVEC as well as in other EC types 175 genes were upregulated (>2-fold increase) by IFNs, including genes involved in the host response to RNA viruses, inflammation, and apoptosis. Interestingly, 41 genes showed a >5-fold higher induction by IFN-alpha in EC compared to human fibroblasts; among them, the gene encoding the angiostatic chemokine CXCL11 was selectively induced by IFN-alpha in EC along with other genes associated with angiogenesis regulation, including CXCL10, TRAIL, and guanylate binding protein 1 (GBP-1). These transcriptional changes were confirmed and extended by quantitative PCR analysis and ELISA; whereas IFN-alpha and IFN-beta exerted virtually identical effects on transcriptome modulation, a differential gene regulation by type I and type II IFN emerged, especially as far as quantitative aspects were concerned. In vivo, IFN-alpha-producing tumors over-expressed murine CXCL10-11, GBP-1 and TRAIL, with evidence of CXCL11 production by tumor-associated EC. Overall, these findings improve our understanding of the anti-angiogenic effects of IFNs by showing that these cytokines trigger an anti-angiogenic transcriptional program in EC. Moreover, we suggest that quantitative differences in the magnitude of the transcriptional activation of IFNresponsive genes could form the basis for cell-specific transcriptional signatures."}
{"STANDARD_NAME":"GSE3920_UNTREATED_VS_IFNA_TREATED_ENDOTHELIAL_CELL_DN","SYSTEMATIC_NAME":"M6685","ORGANISM":"Homo sapiens","PMID":"17202376","AUTHORS":"Indraccolo S,Pfeffer U,Minuzzo S,Esposito G,Roni V,Mandruzzato S,Ferrari N,Anfosso L,Dell'Eva R,Noonan DM,Chieco-Bianchi L,Albini A,Amadori A","GEOID":"GSE3920","EXACT_SOURCE":"GSE3920_3481_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in ndothelial cells: untreated versus interferon alpha.","DESCRIPTION_FULL":"IFNs are highly pleiotropic cytokines also endowed with marked anti-angiogenic activity. In this study, the mRNA expression profiles of endothelial cells (EC) exposed in vitro to IFN-alpha, IFN-beta, or IFN-gamma were determined. We found that in HUVEC as well as in other EC types 175 genes were upregulated (>2-fold increase) by IFNs, including genes involved in the host response to RNA viruses, inflammation, and apoptosis. Interestingly, 41 genes showed a >5-fold higher induction by IFN-alpha in EC compared to human fibroblasts; among them, the gene encoding the angiostatic chemokine CXCL11 was selectively induced by IFN-alpha in EC along with other genes associated with angiogenesis regulation, including CXCL10, TRAIL, and guanylate binding protein 1 (GBP-1). These transcriptional changes were confirmed and extended by quantitative PCR analysis and ELISA; whereas IFN-alpha and IFN-beta exerted virtually identical effects on transcriptome modulation, a differential gene regulation by type I and type II IFN emerged, especially as far as quantitative aspects were concerned. In vivo, IFN-alpha-producing tumors over-expressed murine CXCL10-11, GBP-1 and TRAIL, with evidence of CXCL11 production by tumor-associated EC. Overall, these findings improve our understanding of the anti-angiogenic effects of IFNs by showing that these cytokines trigger an anti-angiogenic transcriptional program in EC. Moreover, we suggest that quantitative differences in the magnitude of the transcriptional activation of IFNresponsive genes could form the basis for cell-specific transcriptional signatures."}
{"STANDARD_NAME":"GSE3920_UNTREATED_VS_IFNB_TREATED_ENDOTHELIAL_CELL_UP","SYSTEMATIC_NAME":"M6686","ORGANISM":"Homo sapiens","PMID":"17202376","AUTHORS":"Indraccolo S,Pfeffer U,Minuzzo S,Esposito G,Roni V,Mandruzzato S,Ferrari N,Anfosso L,Dell'Eva R,Noonan DM,Chieco-Bianchi L,Albini A,Amadori A","GEOID":"GSE3920","EXACT_SOURCE":"GSE3920_3482_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in endothelial cells: untreated versus interferon beta.","DESCRIPTION_FULL":"IFNs are highly pleiotropic cytokines also endowed with marked anti-angiogenic activity. In this study, the mRNA expression profiles of endothelial cells (EC) exposed in vitro to IFN-alpha, IFN-beta, or IFN-gamma were determined. We found that in HUVEC as well as in other EC types 175 genes were upregulated (>2-fold increase) by IFNs, including genes involved in the host response to RNA viruses, inflammation, and apoptosis. Interestingly, 41 genes showed a >5-fold higher induction by IFN-alpha in EC compared to human fibroblasts; among them, the gene encoding the angiostatic chemokine CXCL11 was selectively induced by IFN-alpha in EC along with other genes associated with angiogenesis regulation, including CXCL10, TRAIL, and guanylate binding protein 1 (GBP-1). These transcriptional changes were confirmed and extended by quantitative PCR analysis and ELISA; whereas IFN-alpha and IFN-beta exerted virtually identical effects on transcriptome modulation, a differential gene regulation by type I and type II IFN emerged, especially as far as quantitative aspects were concerned. In vivo, IFN-alpha-producing tumors over-expressed murine CXCL10-11, GBP-1 and TRAIL, with evidence of CXCL11 production by tumor-associated EC. Overall, these findings improve our understanding of the anti-angiogenic effects of IFNs by showing that these cytokines trigger an anti-angiogenic transcriptional program in EC. Moreover, we suggest that quantitative differences in the magnitude of the transcriptional activation of IFNresponsive genes could form the basis for cell-specific transcriptional signatures."}
{"STANDARD_NAME":"GSE3920_UNTREATED_VS_IFNA_TREATED_FIBROBLAST_DN","SYSTEMATIC_NAME":"M6687","ORGANISM":"Homo sapiens","PMID":"17202376","AUTHORS":"Indraccolo S,Pfeffer U,Minuzzo S,Esposito G,Roni V,Mandruzzato S,Ferrari N,Anfosso L,Dell'Eva R,Noonan DM,Chieco-Bianchi L,Albini A,Amadori A","GEOID":"GSE3920","EXACT_SOURCE":"GSE3920_3487_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated fibroblasts: untreated versus interferon alpha.","DESCRIPTION_FULL":"IFNs are highly pleiotropic cytokines also endowed with marked anti-angiogenic activity. In this study, the mRNA expression profiles of endothelial cells (EC) exposed in vitro to IFN-alpha, IFN-beta, or IFN-gamma were determined. We found that in HUVEC as well as in other EC types 175 genes were upregulated (>2-fold increase) by IFNs, including genes involved in the host response to RNA viruses, inflammation, and apoptosis. Interestingly, 41 genes showed a >5-fold higher induction by IFN-alpha in EC compared to human fibroblasts; among them, the gene encoding the angiostatic chemokine CXCL11 was selectively induced by IFN-alpha in EC along with other genes associated with angiogenesis regulation, including CXCL10, TRAIL, and guanylate binding protein 1 (GBP-1). These transcriptional changes were confirmed and extended by quantitative PCR analysis and ELISA; whereas IFN-alpha and IFN-beta exerted virtually identical effects on transcriptome modulation, a differential gene regulation by type I and type II IFN emerged, especially as far as quantitative aspects were concerned. In vivo, IFN-alpha-producing tumors over-expressed murine CXCL10-11, GBP-1 and TRAIL, with evidence of CXCL11 production by tumor-associated EC. Overall, these findings improve our understanding of the anti-angiogenic effects of IFNs by showing that these cytokines trigger an anti-angiogenic transcriptional program in EC. Moreover, we suggest that quantitative differences in the magnitude of the transcriptional activation of IFNresponsive genes could form the basis for cell-specific transcriptional signatures."}
{"STANDARD_NAME":"GSE3920_UNTREATED_VS_IFNG_TREATED_FIBROBLAST_UP","SYSTEMATIC_NAME":"M6688","ORGANISM":"Homo sapiens","PMID":"17202376","AUTHORS":"Indraccolo S,Pfeffer U,Minuzzo S,Esposito G,Roni V,Mandruzzato S,Ferrari N,Anfosso L,Dell'Eva R,Noonan DM,Chieco-Bianchi L,Albini A,Amadori A","GEOID":"GSE3920","EXACT_SOURCE":"GSE3920_3488_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in fibroblasts: untreated versus IFNG [GeneID=3458].","DESCRIPTION_FULL":"IFNs are highly pleiotropic cytokines also endowed with marked anti-angiogenic activity. In this study, the mRNA expression profiles of endothelial cells (EC) exposed in vitro to IFN-alpha, IFN-beta, or IFN-gamma were determined. We found that in HUVEC as well as in other EC types 175 genes were upregulated (>2-fold increase) by IFNs, including genes involved in the host response to RNA viruses, inflammation, and apoptosis. Interestingly, 41 genes showed a >5-fold higher induction by IFN-alpha in EC compared to human fibroblasts; among them, the gene encoding the angiostatic chemokine CXCL11 was selectively induced by IFN-alpha in EC along with other genes associated with angiogenesis regulation, including CXCL10, TRAIL, and guanylate binding protein 1 (GBP-1). These transcriptional changes were confirmed and extended by quantitative PCR analysis and ELISA; whereas IFN-alpha and IFN-beta exerted virtually identical effects on transcriptome modulation, a differential gene regulation by type I and type II IFN emerged, especially as far as quantitative aspects were concerned. In vivo, IFN-alpha-producing tumors over-expressed murine CXCL10-11, GBP-1 and TRAIL, with evidence of CXCL11 production by tumor-associated EC. Overall, these findings improve our understanding of the anti-angiogenic effects of IFNs by showing that these cytokines trigger an anti-angiogenic transcriptional program in EC. Moreover, we suggest that quantitative differences in the magnitude of the transcriptional activation of IFNresponsive genes could form the basis for cell-specific transcriptional signatures."}
{"STANDARD_NAME":"GSE3920_UNTREATED_VS_IFNG_TREATED_FIBROBLAST_DN","SYSTEMATIC_NAME":"M6689","ORGANISM":"Homo sapiens","PMID":"17202376","AUTHORS":"Indraccolo S,Pfeffer U,Minuzzo S,Esposito G,Roni V,Mandruzzato S,Ferrari N,Anfosso L,Dell'Eva R,Noonan DM,Chieco-Bianchi L,Albini A,Amadori A","GEOID":"GSE3920","EXACT_SOURCE":"GSE3920_3488_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in fibroblasts: untreated versus IFNG [GeneID=3458].","DESCRIPTION_FULL":"IFNs are highly pleiotropic cytokines also endowed with marked anti-angiogenic activity. In this study, the mRNA expression profiles of endothelial cells (EC) exposed in vitro to IFN-alpha, IFN-beta, or IFN-gamma were determined. We found that in HUVEC as well as in other EC types 175 genes were upregulated (>2-fold increase) by IFNs, including genes involved in the host response to RNA viruses, inflammation, and apoptosis. Interestingly, 41 genes showed a >5-fold higher induction by IFN-alpha in EC compared to human fibroblasts; among them, the gene encoding the angiostatic chemokine CXCL11 was selectively induced by IFN-alpha in EC along with other genes associated with angiogenesis regulation, including CXCL10, TRAIL, and guanylate binding protein 1 (GBP-1). These transcriptional changes were confirmed and extended by quantitative PCR analysis and ELISA; whereas IFN-alpha and IFN-beta exerted virtually identical effects on transcriptome modulation, a differential gene regulation by type I and type II IFN emerged, especially as far as quantitative aspects were concerned. In vivo, IFN-alpha-producing tumors over-expressed murine CXCL10-11, GBP-1 and TRAIL, with evidence of CXCL11 production by tumor-associated EC. Overall, these findings improve our understanding of the anti-angiogenic effects of IFNs by showing that these cytokines trigger an anti-angiogenic transcriptional program in EC. Moreover, we suggest that quantitative differences in the magnitude of the transcriptional activation of IFNresponsive genes could form the basis for cell-specific transcriptional signatures."}
{"STANDARD_NAME":"GSE3920_IFNA_VS_IFNG_TREATED_FIBROBLAST_UP","SYSTEMATIC_NAME":"M6690","ORGANISM":"Homo sapiens","PMID":"17202376","AUTHORS":"Indraccolo S,Pfeffer U,Minuzzo S,Esposito G,Roni V,Mandruzzato S,Ferrari N,Anfosso L,Dell'Eva R,Noonan DM,Chieco-Bianchi L,Albini A,Amadori A","GEOID":"GSE3920","EXACT_SOURCE":"GSE3920_3489_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in fibroblasts: interferon alpha versus IFNG [GeneID=3458].","DESCRIPTION_FULL":"IFNs are highly pleiotropic cytokines also endowed with marked anti-angiogenic activity. In this study, the mRNA expression profiles of endothelial cells (EC) exposed in vitro to IFN-alpha, IFN-beta, or IFN-gamma were determined. We found that in HUVEC as well as in other EC types 175 genes were upregulated (>2-fold increase) by IFNs, including genes involved in the host response to RNA viruses, inflammation, and apoptosis. Interestingly, 41 genes showed a >5-fold higher induction by IFN-alpha in EC compared to human fibroblasts; among them, the gene encoding the angiostatic chemokine CXCL11 was selectively induced by IFN-alpha in EC along with other genes associated with angiogenesis regulation, including CXCL10, TRAIL, and guanylate binding protein 1 (GBP-1). These transcriptional changes were confirmed and extended by quantitative PCR analysis and ELISA; whereas IFN-alpha and IFN-beta exerted virtually identical effects on transcriptome modulation, a differential gene regulation by type I and type II IFN emerged, especially as far as quantitative aspects were concerned. In vivo, IFN-alpha-producing tumors over-expressed murine CXCL10-11, GBP-1 and TRAIL, with evidence of CXCL11 production by tumor-associated EC. Overall, these findings improve our understanding of the anti-angiogenic effects of IFNs by showing that these cytokines trigger an anti-angiogenic transcriptional program in EC. Moreover, we suggest that quantitative differences in the magnitude of the transcriptional activation of IFNresponsive genes could form the basis for cell-specific transcriptional signatures."}
{"STANDARD_NAME":"GSE3920_IFNA_VS_IFNG_TREATED_FIBROBLAST_DN","SYSTEMATIC_NAME":"M6691","ORGANISM":"Homo sapiens","PMID":"17202376","AUTHORS":"Indraccolo S,Pfeffer U,Minuzzo S,Esposito G,Roni V,Mandruzzato S,Ferrari N,Anfosso L,Dell'Eva R,Noonan DM,Chieco-Bianchi L,Albini A,Amadori A","GEOID":"GSE3920","EXACT_SOURCE":"GSE3920_3489_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in fibroblasts: interferon alpha versus IFNG [GeneID=3458].","DESCRIPTION_FULL":"IFNs are highly pleiotropic cytokines also endowed with marked anti-angiogenic activity. In this study, the mRNA expression profiles of endothelial cells (EC) exposed in vitro to IFN-alpha, IFN-beta, or IFN-gamma were determined. We found that in HUVEC as well as in other EC types 175 genes were upregulated (>2-fold increase) by IFNs, including genes involved in the host response to RNA viruses, inflammation, and apoptosis. Interestingly, 41 genes showed a >5-fold higher induction by IFN-alpha in EC compared to human fibroblasts; among them, the gene encoding the angiostatic chemokine CXCL11 was selectively induced by IFN-alpha in EC along with other genes associated with angiogenesis regulation, including CXCL10, TRAIL, and guanylate binding protein 1 (GBP-1). These transcriptional changes were confirmed and extended by quantitative PCR analysis and ELISA; whereas IFN-alpha and IFN-beta exerted virtually identical effects on transcriptome modulation, a differential gene regulation by type I and type II IFN emerged, especially as far as quantitative aspects were concerned. In vivo, IFN-alpha-producing tumors over-expressed murine CXCL10-11, GBP-1 and TRAIL, with evidence of CXCL11 production by tumor-associated EC. Overall, these findings improve our understanding of the anti-angiogenic effects of IFNs by showing that these cytokines trigger an anti-angiogenic transcriptional program in EC. Moreover, we suggest that quantitative differences in the magnitude of the transcriptional activation of IFNresponsive genes could form the basis for cell-specific transcriptional signatures."}
{"STANDARD_NAME":"GSE3920_UNTREATED_VS_IFNB_TREATED_ENDOTHELIAL_CELL_DN","SYSTEMATIC_NAME":"M6694","ORGANISM":"Homo sapiens","PMID":"17202376","AUTHORS":"Indraccolo S,Pfeffer U,Minuzzo S,Esposito G,Roni V,Mandruzzato S,Ferrari N,Anfosso L,Dell'Eva R,Noonan DM,Chieco-Bianchi L,Albini A,Amadori A","GEOID":"GSE3920","EXACT_SOURCE":"GSE3920_3482_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in endothelial cells: untreated versus interferon beta.","DESCRIPTION_FULL":"IFNs are highly pleiotropic cytokines also endowed with marked anti-angiogenic activity. In this study, the mRNA expression profiles of endothelial cells (EC) exposed in vitro to IFN-alpha, IFN-beta, or IFN-gamma were determined. We found that in HUVEC as well as in other EC types 175 genes were upregulated (>2-fold increase) by IFNs, including genes involved in the host response to RNA viruses, inflammation, and apoptosis. Interestingly, 41 genes showed a >5-fold higher induction by IFN-alpha in EC compared to human fibroblasts; among them, the gene encoding the angiostatic chemokine CXCL11 was selectively induced by IFN-alpha in EC along with other genes associated with angiogenesis regulation, including CXCL10, TRAIL, and guanylate binding protein 1 (GBP-1). These transcriptional changes were confirmed and extended by quantitative PCR analysis and ELISA; whereas IFN-alpha and IFN-beta exerted virtually identical effects on transcriptome modulation, a differential gene regulation by type I and type II IFN emerged, especially as far as quantitative aspects were concerned. In vivo, IFN-alpha-producing tumors over-expressed murine CXCL10-11, GBP-1 and TRAIL, with evidence of CXCL11 production by tumor-associated EC. Overall, these findings improve our understanding of the anti-angiogenic effects of IFNs by showing that these cytokines trigger an anti-angiogenic transcriptional program in EC. Moreover, we suggest that quantitative differences in the magnitude of the transcriptional activation of IFNresponsive genes could form the basis for cell-specific transcriptional signatures."}
{"STANDARD_NAME":"GSE3920_UNTREATED_VS_IFNG_TREATED_ENDOTHELIAL_CELL_UP","SYSTEMATIC_NAME":"M6695","ORGANISM":"Homo sapiens","PMID":"17202376","AUTHORS":"Indraccolo S,Pfeffer U,Minuzzo S,Esposito G,Roni V,Mandruzzato S,Ferrari N,Anfosso L,Dell'Eva R,Noonan DM,Chieco-Bianchi L,Albini A,Amadori A","GEOID":"GSE3920","EXACT_SOURCE":"GSE3920_3483_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in endothelial cells: untreated versus IFNG [GeneID=3458].","DESCRIPTION_FULL":"IFNs are highly pleiotropic cytokines also endowed with marked anti-angiogenic activity. In this study, the mRNA expression profiles of endothelial cells (EC) exposed in vitro to IFN-alpha, IFN-beta, or IFN-gamma were determined. We found that in HUVEC as well as in other EC types 175 genes were upregulated (>2-fold increase) by IFNs, including genes involved in the host response to RNA viruses, inflammation, and apoptosis. Interestingly, 41 genes showed a >5-fold higher induction by IFN-alpha in EC compared to human fibroblasts; among them, the gene encoding the angiostatic chemokine CXCL11 was selectively induced by IFN-alpha in EC along with other genes associated with angiogenesis regulation, including CXCL10, TRAIL, and guanylate binding protein 1 (GBP-1). These transcriptional changes were confirmed and extended by quantitative PCR analysis and ELISA; whereas IFN-alpha and IFN-beta exerted virtually identical effects on transcriptome modulation, a differential gene regulation by type I and type II IFN emerged, especially as far as quantitative aspects were concerned. In vivo, IFN-alpha-producing tumors over-expressed murine CXCL10-11, GBP-1 and TRAIL, with evidence of CXCL11 production by tumor-associated EC. Overall, these findings improve our understanding of the anti-angiogenic effects of IFNs by showing that these cytokines trigger an anti-angiogenic transcriptional program in EC. Moreover, we suggest that quantitative differences in the magnitude of the transcriptional activation of IFNresponsive genes could form the basis for cell-specific transcriptional signatures."}
{"STANDARD_NAME":"GSE3920_UNTREATED_VS_IFNG_TREATED_ENDOTHELIAL_CELL_DN","SYSTEMATIC_NAME":"M6696","ORGANISM":"Homo sapiens","PMID":"17202376","AUTHORS":"Indraccolo S,Pfeffer U,Minuzzo S,Esposito G,Roni V,Mandruzzato S,Ferrari N,Anfosso L,Dell'Eva R,Noonan DM,Chieco-Bianchi L,Albini A,Amadori A","GEOID":"GSE3920","EXACT_SOURCE":"GSE3920_3483_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in endothelial cells: untreated versus IFNG [GeneID=3458].","DESCRIPTION_FULL":"IFNs are highly pleiotropic cytokines also endowed with marked anti-angiogenic activity. In this study, the mRNA expression profiles of endothelial cells (EC) exposed in vitro to IFN-alpha, IFN-beta, or IFN-gamma were determined. We found that in HUVEC as well as in other EC types 175 genes were upregulated (>2-fold increase) by IFNs, including genes involved in the host response to RNA viruses, inflammation, and apoptosis. Interestingly, 41 genes showed a >5-fold higher induction by IFN-alpha in EC compared to human fibroblasts; among them, the gene encoding the angiostatic chemokine CXCL11 was selectively induced by IFN-alpha in EC along with other genes associated with angiogenesis regulation, including CXCL10, TRAIL, and guanylate binding protein 1 (GBP-1). These transcriptional changes were confirmed and extended by quantitative PCR analysis and ELISA; whereas IFN-alpha and IFN-beta exerted virtually identical effects on transcriptome modulation, a differential gene regulation by type I and type II IFN emerged, especially as far as quantitative aspects were concerned. In vivo, IFN-alpha-producing tumors over-expressed murine CXCL10-11, GBP-1 and TRAIL, with evidence of CXCL11 production by tumor-associated EC. Overall, these findings improve our understanding of the anti-angiogenic effects of IFNs by showing that these cytokines trigger an anti-angiogenic transcriptional program in EC. Moreover, we suggest that quantitative differences in the magnitude of the transcriptional activation of IFNresponsive genes could form the basis for cell-specific transcriptional signatures."}
{"STANDARD_NAME":"GSE3920_IFNA_VS_IFNG_TREATED_ENDOTHELIAL_CELL_UP","SYSTEMATIC_NAME":"M6697","ORGANISM":"Homo sapiens","PMID":"17202376","AUTHORS":"Indraccolo S,Pfeffer U,Minuzzo S,Esposito G,Roni V,Mandruzzato S,Ferrari N,Anfosso L,Dell'Eva R,Noonan DM,Chieco-Bianchi L,Albini A,Amadori A","GEOID":"GSE3920","EXACT_SOURCE":"GSE3920_3484_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in endothelial cells: interferon alpha versus IFNG [GeneID=3458].","DESCRIPTION_FULL":"IFNs are highly pleiotropic cytokines also endowed with marked anti-angiogenic activity. In this study, the mRNA expression profiles of endothelial cells (EC) exposed in vitro to IFN-alpha, IFN-beta, or IFN-gamma were determined. We found that in HUVEC as well as in other EC types 175 genes were upregulated (>2-fold increase) by IFNs, including genes involved in the host response to RNA viruses, inflammation, and apoptosis. Interestingly, 41 genes showed a >5-fold higher induction by IFN-alpha in EC compared to human fibroblasts; among them, the gene encoding the angiostatic chemokine CXCL11 was selectively induced by IFN-alpha in EC along with other genes associated with angiogenesis regulation, including CXCL10, TRAIL, and guanylate binding protein 1 (GBP-1). These transcriptional changes were confirmed and extended by quantitative PCR analysis and ELISA; whereas IFN-alpha and IFN-beta exerted virtually identical effects on transcriptome modulation, a differential gene regulation by type I and type II IFN emerged, especially as far as quantitative aspects were concerned. In vivo, IFN-alpha-producing tumors over-expressed murine CXCL10-11, GBP-1 and TRAIL, with evidence of CXCL11 production by tumor-associated EC. Overall, these findings improve our understanding of the anti-angiogenic effects of IFNs by showing that these cytokines trigger an anti-angiogenic transcriptional program in EC. Moreover, we suggest that quantitative differences in the magnitude of the transcriptional activation of IFNresponsive genes could form the basis for cell-specific transcriptional signatures."}
{"STANDARD_NAME":"GSE3920_IFNA_VS_IFNG_TREATED_ENDOTHELIAL_CELL_DN","SYSTEMATIC_NAME":"M6699","ORGANISM":"Homo sapiens","PMID":"17202376","AUTHORS":"Indraccolo S,Pfeffer U,Minuzzo S,Esposito G,Roni V,Mandruzzato S,Ferrari N,Anfosso L,Dell'Eva R,Noonan DM,Chieco-Bianchi L,Albini A,Amadori A","GEOID":"GSE3920","EXACT_SOURCE":"GSE3920_3484_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in endothelial cells: interferon alpha versus IFNG [GeneID=3458].","DESCRIPTION_FULL":"IFNs are highly pleiotropic cytokines also endowed with marked anti-angiogenic activity. In this study, the mRNA expression profiles of endothelial cells (EC) exposed in vitro to IFN-alpha, IFN-beta, or IFN-gamma were determined. We found that in HUVEC as well as in other EC types 175 genes were upregulated (>2-fold increase) by IFNs, including genes involved in the host response to RNA viruses, inflammation, and apoptosis. Interestingly, 41 genes showed a >5-fold higher induction by IFN-alpha in EC compared to human fibroblasts; among them, the gene encoding the angiostatic chemokine CXCL11 was selectively induced by IFN-alpha in EC along with other genes associated with angiogenesis regulation, including CXCL10, TRAIL, and guanylate binding protein 1 (GBP-1). These transcriptional changes were confirmed and extended by quantitative PCR analysis and ELISA; whereas IFN-alpha and IFN-beta exerted virtually identical effects on transcriptome modulation, a differential gene regulation by type I and type II IFN emerged, especially as far as quantitative aspects were concerned. In vivo, IFN-alpha-producing tumors over-expressed murine CXCL10-11, GBP-1 and TRAIL, with evidence of CXCL11 production by tumor-associated EC. Overall, these findings improve our understanding of the anti-angiogenic effects of IFNs by showing that these cytokines trigger an anti-angiogenic transcriptional program in EC. Moreover, we suggest that quantitative differences in the magnitude of the transcriptional activation of IFNresponsive genes could form the basis for cell-specific transcriptional signatures."}
{"STANDARD_NAME":"GSE3920_IFNA_VS_IFNB_TREATED_ENDOTHELIAL_CELL_UP","SYSTEMATIC_NAME":"M6700","ORGANISM":"Homo sapiens","PMID":"17202376","AUTHORS":"Indraccolo S,Pfeffer U,Minuzzo S,Esposito G,Roni V,Mandruzzato S,Ferrari N,Anfosso L,Dell'Eva R,Noonan DM,Chieco-Bianchi L,Albini A,Amadori A","GEOID":"GSE3920","EXACT_SOURCE":"GSE3920_3485_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in endothelial cells: interferon alpha versus interferon beta.","DESCRIPTION_FULL":"IFNs are highly pleiotropic cytokines also endowed with marked anti-angiogenic activity. In this study, the mRNA expression profiles of endothelial cells (EC) exposed in vitro to IFN-alpha, IFN-beta, or IFN-gamma were determined. We found that in HUVEC as well as in other EC types 175 genes were upregulated (>2-fold increase) by IFNs, including genes involved in the host response to RNA viruses, inflammation, and apoptosis. Interestingly, 41 genes showed a >5-fold higher induction by IFN-alpha in EC compared to human fibroblasts; among them, the gene encoding the angiostatic chemokine CXCL11 was selectively induced by IFN-alpha in EC along with other genes associated with angiogenesis regulation, including CXCL10, TRAIL, and guanylate binding protein 1 (GBP-1). These transcriptional changes were confirmed and extended by quantitative PCR analysis and ELISA; whereas IFN-alpha and IFN-beta exerted virtually identical effects on transcriptome modulation, a differential gene regulation by type I and type II IFN emerged, especially as far as quantitative aspects were concerned. In vivo, IFN-alpha-producing tumors over-expressed murine CXCL10-11, GBP-1 and TRAIL, with evidence of CXCL11 production by tumor-associated EC. Overall, these findings improve our understanding of the anti-angiogenic effects of IFNs by showing that these cytokines trigger an anti-angiogenic transcriptional program in EC. Moreover, we suggest that quantitative differences in the magnitude of the transcriptional activation of IFNresponsive genes could form the basis for cell-specific transcriptional signatures."}
{"STANDARD_NAME":"GSE3920_IFNA_VS_IFNB_TREATED_ENDOTHELIAL_CELL_DN","SYSTEMATIC_NAME":"M6701","ORGANISM":"Homo sapiens","PMID":"17202376","AUTHORS":"Indraccolo S,Pfeffer U,Minuzzo S,Esposito G,Roni V,Mandruzzato S,Ferrari N,Anfosso L,Dell'Eva R,Noonan DM,Chieco-Bianchi L,Albini A,Amadori A","GEOID":"GSE3920","EXACT_SOURCE":"GSE3920_3485_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in endothelial cells: interferon alpha versus interferon beta.","DESCRIPTION_FULL":"IFNs are highly pleiotropic cytokines also endowed with marked anti-angiogenic activity. In this study, the mRNA expression profiles of endothelial cells (EC) exposed in vitro to IFN-alpha, IFN-beta, or IFN-gamma were determined. We found that in HUVEC as well as in other EC types 175 genes were upregulated (>2-fold increase) by IFNs, including genes involved in the host response to RNA viruses, inflammation, and apoptosis. Interestingly, 41 genes showed a >5-fold higher induction by IFN-alpha in EC compared to human fibroblasts; among them, the gene encoding the angiostatic chemokine CXCL11 was selectively induced by IFN-alpha in EC along with other genes associated with angiogenesis regulation, including CXCL10, TRAIL, and guanylate binding protein 1 (GBP-1). These transcriptional changes were confirmed and extended by quantitative PCR analysis and ELISA; whereas IFN-alpha and IFN-beta exerted virtually identical effects on transcriptome modulation, a differential gene regulation by type I and type II IFN emerged, especially as far as quantitative aspects were concerned. In vivo, IFN-alpha-producing tumors over-expressed murine CXCL10-11, GBP-1 and TRAIL, with evidence of CXCL11 production by tumor-associated EC. Overall, these findings improve our understanding of the anti-angiogenic effects of IFNs by showing that these cytokines trigger an anti-angiogenic transcriptional program in EC. Moreover, we suggest that quantitative differences in the magnitude of the transcriptional activation of IFNresponsive genes could form the basis for cell-specific transcriptional signatures."}
{"STANDARD_NAME":"GSE3920_IFNB_VS_IFNG_TREATED_ENDOTHELIAL_CELL_UP","SYSTEMATIC_NAME":"M6702","ORGANISM":"Homo sapiens","PMID":"17202376","AUTHORS":"Indraccolo S,Pfeffer U,Minuzzo S,Esposito G,Roni V,Mandruzzato S,Ferrari N,Anfosso L,Dell'Eva R,Noonan DM,Chieco-Bianchi L,Albini A,Amadori A","GEOID":"GSE3920","EXACT_SOURCE":"GSE3920_3486_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in endothelial cells: interferon beta versus IFNG [GeneID=3458].","DESCRIPTION_FULL":"IFNs are highly pleiotropic cytokines also endowed with marked anti-angiogenic activity. In this study, the mRNA expression profiles of endothelial cells (EC) exposed in vitro to IFN-alpha, IFN-beta, or IFN-gamma were determined. We found that in HUVEC as well as in other EC types 175 genes were upregulated (>2-fold increase) by IFNs, including genes involved in the host response to RNA viruses, inflammation, and apoptosis. Interestingly, 41 genes showed a >5-fold higher induction by IFN-alpha in EC compared to human fibroblasts; among them, the gene encoding the angiostatic chemokine CXCL11 was selectively induced by IFN-alpha in EC along with other genes associated with angiogenesis regulation, including CXCL10, TRAIL, and guanylate binding protein 1 (GBP-1). These transcriptional changes were confirmed and extended by quantitative PCR analysis and ELISA; whereas IFN-alpha and IFN-beta exerted virtually identical effects on transcriptome modulation, a differential gene regulation by type I and type II IFN emerged, especially as far as quantitative aspects were concerned. In vivo, IFN-alpha-producing tumors over-expressed murine CXCL10-11, GBP-1 and TRAIL, with evidence of CXCL11 production by tumor-associated EC. Overall, these findings improve our understanding of the anti-angiogenic effects of IFNs by showing that these cytokines trigger an anti-angiogenic transcriptional program in EC. Moreover, we suggest that quantitative differences in the magnitude of the transcriptional activation of IFNresponsive genes could form the basis for cell-specific transcriptional signatures."}
{"STANDARD_NAME":"GSE3920_IFNB_VS_IFNG_TREATED_ENDOTHELIAL_CELL_DN","SYSTEMATIC_NAME":"M6703","ORGANISM":"Homo sapiens","PMID":"17202376","AUTHORS":"Indraccolo S,Pfeffer U,Minuzzo S,Esposito G,Roni V,Mandruzzato S,Ferrari N,Anfosso L,Dell'Eva R,Noonan DM,Chieco-Bianchi L,Albini A,Amadori A","GEOID":"GSE3920","EXACT_SOURCE":"GSE3920_3486_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in endothelial cells: interferon beta versus IFNG [GeneID=3458].","DESCRIPTION_FULL":"IFNs are highly pleiotropic cytokines also endowed with marked anti-angiogenic activity. In this study, the mRNA expression profiles of endothelial cells (EC) exposed in vitro to IFN-alpha, IFN-beta, or IFN-gamma were determined. We found that in HUVEC as well as in other EC types 175 genes were upregulated (>2-fold increase) by IFNs, including genes involved in the host response to RNA viruses, inflammation, and apoptosis. Interestingly, 41 genes showed a >5-fold higher induction by IFN-alpha in EC compared to human fibroblasts; among them, the gene encoding the angiostatic chemokine CXCL11 was selectively induced by IFN-alpha in EC along with other genes associated with angiogenesis regulation, including CXCL10, TRAIL, and guanylate binding protein 1 (GBP-1). These transcriptional changes were confirmed and extended by quantitative PCR analysis and ELISA; whereas IFN-alpha and IFN-beta exerted virtually identical effects on transcriptome modulation, a differential gene regulation by type I and type II IFN emerged, especially as far as quantitative aspects were concerned. In vivo, IFN-alpha-producing tumors over-expressed murine CXCL10-11, GBP-1 and TRAIL, with evidence of CXCL11 production by tumor-associated EC. Overall, these findings improve our understanding of the anti-angiogenic effects of IFNs by showing that these cytokines trigger an anti-angiogenic transcriptional program in EC. Moreover, we suggest that quantitative differences in the magnitude of the transcriptional activation of IFNresponsive genes could form the basis for cell-specific transcriptional signatures."}
{"STANDARD_NAME":"GSE3920_UNTREATED_VS_IFNA_TREATED_FIBROBLAST_UP","SYSTEMATIC_NAME":"M6704","ORGANISM":"Homo sapiens","PMID":"17202376","AUTHORS":"Indraccolo S,Pfeffer U,Minuzzo S,Esposito G,Roni V,Mandruzzato S,Ferrari N,Anfosso L,Dell'Eva R,Noonan DM,Chieco-Bianchi L,Albini A,Amadori A","GEOID":"GSE3920","EXACT_SOURCE":"GSE3920_3487_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated fibroblasts: untreated versus interferon alpha.","DESCRIPTION_FULL":"IFNs are highly pleiotropic cytokines also endowed with marked anti-angiogenic activity. In this study, the mRNA expression profiles of endothelial cells (EC) exposed in vitro to IFN-alpha, IFN-beta, or IFN-gamma were determined. We found that in HUVEC as well as in other EC types 175 genes were upregulated (>2-fold increase) by IFNs, including genes involved in the host response to RNA viruses, inflammation, and apoptosis. Interestingly, 41 genes showed a >5-fold higher induction by IFN-alpha in EC compared to human fibroblasts; among them, the gene encoding the angiostatic chemokine CXCL11 was selectively induced by IFN-alpha in EC along with other genes associated with angiogenesis regulation, including CXCL10, TRAIL, and guanylate binding protein 1 (GBP-1). These transcriptional changes were confirmed and extended by quantitative PCR analysis and ELISA; whereas IFN-alpha and IFN-beta exerted virtually identical effects on transcriptome modulation, a differential gene regulation by type I and type II IFN emerged, especially as far as quantitative aspects were concerned. In vivo, IFN-alpha-producing tumors over-expressed murine CXCL10-11, GBP-1 and TRAIL, with evidence of CXCL11 production by tumor-associated EC. Overall, these findings improve our understanding of the anti-angiogenic effects of IFNs by showing that these cytokines trigger an anti-angiogenic transcriptional program in EC. Moreover, we suggest that quantitative differences in the magnitude of the transcriptional activation of IFNresponsive genes could form the basis for cell-specific transcriptional signatures."}
{"STANDARD_NAME":"GSE6092_CTRL_VS_BORRELIA_BIRGDOFERI_INF_ENDOTHELIAL_CELL_UP","SYSTEMATIC_NAME":"M6707","ORGANISM":"Homo sapiens","PMID":"17202382","AUTHORS":"Dame TM,Orenzoff BL,Palmer LE,Furie MB","GEOID":"GSE6092","EXACT_SOURCE":"GSE6092_3465_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in endothelial cells: untreated versus exposed to E. burgdoferi.","DESCRIPTION_FULL":"Borrelia burgdorferi, the agent of Lyme disease, promotes pro-inflammatory changes in endothelium that lead to the recruitment of leukocytes. The host immune response to infection results in increased levels of IFN-gamma in the serum and lesions of Lyme disease patients that correlate with greater severity of disease. Therefore, the effect of IFN-gamma on the gene expression profile of primary human endothelial cells exposed to B. burgdorferi was determined. B. burgdorferi and IFN-gamma synergistically augmented the expression of 34 genes, seven of which encode chemokines. Six of these (CCL7, CCL8, CX3CL1, CXCL9, CXCL10, and CXCL11) attract T lymphocytes, and one (CXCL2) is specific for neutrophils. Synergistic production of the attractants for T cells was confirmed at the protein level. IL-1beta, TNF-alpha, and LPS also cooperated with IFN-gamma to induce synergistic production of CXCL10 by endothelium, indicating that IFN-gamma potentiates inflammation in concert with a variety of mediators. An in vitro model of the blood vessel wall revealed that an increased number of human T lymphocytes traversed endothelium exposed to B. burgdorferi and IFN-gamma, as compared to unstimulated endothelial monolayers. In contrast, addition of IFN-gamma diminished the migration of neutrophils across B. burgdorferi-activated endothelium. IFN-gamma thus alters gene expression by endothelium exposed to B. burgdorferi in a manner that promotes recruitment of T cells and suppresses that of neutrophils. This modulation may facilitate the development of chronic inflammatory lesions in Lyme disease."}
{"STANDARD_NAME":"GSE6092_CTRL_VS_BORRELIA_BIRGDOFERI_INF_ENDOTHELIAL_CELL_DN","SYSTEMATIC_NAME":"M6708","ORGANISM":"Homo sapiens","PMID":"17202382","AUTHORS":"Dame TM,Orenzoff BL,Palmer LE,Furie MB","GEOID":"GSE6092","EXACT_SOURCE":"GSE6092_3465_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in endothelial cells: untreated versus exposed to E. burgdoferi.","DESCRIPTION_FULL":"Borrelia burgdorferi, the agent of Lyme disease, promotes pro-inflammatory changes in endothelium that lead to the recruitment of leukocytes. The host immune response to infection results in increased levels of IFN-gamma in the serum and lesions of Lyme disease patients that correlate with greater severity of disease. Therefore, the effect of IFN-gamma on the gene expression profile of primary human endothelial cells exposed to B. burgdorferi was determined. B. burgdorferi and IFN-gamma synergistically augmented the expression of 34 genes, seven of which encode chemokines. Six of these (CCL7, CCL8, CX3CL1, CXCL9, CXCL10, and CXCL11) attract T lymphocytes, and one (CXCL2) is specific for neutrophils. Synergistic production of the attractants for T cells was confirmed at the protein level. IL-1beta, TNF-alpha, and LPS also cooperated with IFN-gamma to induce synergistic production of CXCL10 by endothelium, indicating that IFN-gamma potentiates inflammation in concert with a variety of mediators. An in vitro model of the blood vessel wall revealed that an increased number of human T lymphocytes traversed endothelium exposed to B. burgdorferi and IFN-gamma, as compared to unstimulated endothelial monolayers. In contrast, addition of IFN-gamma diminished the migration of neutrophils across B. burgdorferi-activated endothelium. IFN-gamma thus alters gene expression by endothelium exposed to B. burgdorferi in a manner that promotes recruitment of T cells and suppresses that of neutrophils. This modulation may facilitate the development of chronic inflammatory lesions in Lyme disease."}
{"STANDARD_NAME":"GSE6092_UNSTIM_VS_IFNG_STIM_ENDOTHELIAL_CELL_UP","SYSTEMATIC_NAME":"M6710","ORGANISM":"Homo sapiens","PMID":"17202382","AUTHORS":"Dame TM,Orenzoff BL,Palmer LE,Furie MB","GEOID":"GSE6092","EXACT_SOURCE":"GSE6092_3466_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in endothelial cells: untreated versus IFNG [GeneID=3458].","DESCRIPTION_FULL":"Borrelia burgdorferi, the agent of Lyme disease, promotes pro-inflammatory changes in endothelium that lead to the recruitment of leukocytes. The host immune response to infection results in increased levels of IFN-gamma in the serum and lesions of Lyme disease patients that correlate with greater severity of disease. Therefore, the effect of IFN-gamma on the gene expression profile of primary human endothelial cells exposed to B. burgdorferi was determined. B. burgdorferi and IFN-gamma synergistically augmented the expression of 34 genes, seven of which encode chemokines. Six of these (CCL7, CCL8, CX3CL1, CXCL9, CXCL10, and CXCL11) attract T lymphocytes, and one (CXCL2) is specific for neutrophils. Synergistic production of the attractants for T cells was confirmed at the protein level. IL-1beta, TNF-alpha, and LPS also cooperated with IFN-gamma to induce synergistic production of CXCL10 by endothelium, indicating that IFN-gamma potentiates inflammation in concert with a variety of mediators. An in vitro model of the blood vessel wall revealed that an increased number of human T lymphocytes traversed endothelium exposed to B. burgdorferi and IFN-gamma, as compared to unstimulated endothelial monolayers. In contrast, addition of IFN-gamma diminished the migration of neutrophils across B. burgdorferi-activated endothelium. IFN-gamma thus alters gene expression by endothelium exposed to B. burgdorferi in a manner that promotes recruitment of T cells and suppresses that of neutrophils. This modulation may facilitate the development of chronic inflammatory lesions in Lyme disease."}
{"STANDARD_NAME":"GSE6092_UNSTIM_VS_IFNG_STIM_ENDOTHELIAL_CELL_DN","SYSTEMATIC_NAME":"M6711","ORGANISM":"Homo sapiens","PMID":"17202382","AUTHORS":"Dame TM,Orenzoff BL,Palmer LE,Furie MB","GEOID":"GSE6092","EXACT_SOURCE":"GSE6092_3466_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in endothelial cells: untreated versus IFNG [GeneID=3458].","DESCRIPTION_FULL":"Borrelia burgdorferi, the agent of Lyme disease, promotes pro-inflammatory changes in endothelium that lead to the recruitment of leukocytes. The host immune response to infection results in increased levels of IFN-gamma in the serum and lesions of Lyme disease patients that correlate with greater severity of disease. Therefore, the effect of IFN-gamma on the gene expression profile of primary human endothelial cells exposed to B. burgdorferi was determined. B. burgdorferi and IFN-gamma synergistically augmented the expression of 34 genes, seven of which encode chemokines. Six of these (CCL7, CCL8, CX3CL1, CXCL9, CXCL10, and CXCL11) attract T lymphocytes, and one (CXCL2) is specific for neutrophils. Synergistic production of the attractants for T cells was confirmed at the protein level. IL-1beta, TNF-alpha, and LPS also cooperated with IFN-gamma to induce synergistic production of CXCL10 by endothelium, indicating that IFN-gamma potentiates inflammation in concert with a variety of mediators. An in vitro model of the blood vessel wall revealed that an increased number of human T lymphocytes traversed endothelium exposed to B. burgdorferi and IFN-gamma, as compared to unstimulated endothelial monolayers. In contrast, addition of IFN-gamma diminished the migration of neutrophils across B. burgdorferi-activated endothelium. IFN-gamma thus alters gene expression by endothelium exposed to B. burgdorferi in a manner that promotes recruitment of T cells and suppresses that of neutrophils. This modulation may facilitate the development of chronic inflammatory lesions in Lyme disease."}
{"STANDARD_NAME":"GSE6092_UNSTIM_VS_IFNG_STIM_AND_B_BURGDORFERI_INF_ENDOTHELIAL_CELL_UP","SYSTEMATIC_NAME":"M6713","ORGANISM":"Homo sapiens","PMID":"17202382","AUTHORS":"Dame TM,Orenzoff BL,Palmer LE,Furie MB","GEOID":"GSE6092","EXACT_SOURCE":"GSE6092_3467_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in endothelial cells: untreated versus IFNG [GeneID=3459] and B. burgdoferi.","DESCRIPTION_FULL":"Borrelia burgdorferi, the agent of Lyme disease, promotes pro-inflammatory changes in endothelium that lead to the recruitment of leukocytes. The host immune response to infection results in increased levels of IFN-gamma in the serum and lesions of Lyme disease patients that correlate with greater severity of disease. Therefore, the effect of IFN-gamma on the gene expression profile of primary human endothelial cells exposed to B. burgdorferi was determined. B. burgdorferi and IFN-gamma synergistically augmented the expression of 34 genes, seven of which encode chemokines. Six of these (CCL7, CCL8, CX3CL1, CXCL9, CXCL10, and CXCL11) attract T lymphocytes, and one (CXCL2) is specific for neutrophils. Synergistic production of the attractants for T cells was confirmed at the protein level. IL-1beta, TNF-alpha, and LPS also cooperated with IFN-gamma to induce synergistic production of CXCL10 by endothelium, indicating that IFN-gamma potentiates inflammation in concert with a variety of mediators. An in vitro model of the blood vessel wall revealed that an increased number of human T lymphocytes traversed endothelium exposed to B. burgdorferi and IFN-gamma, as compared to unstimulated endothelial monolayers. In contrast, addition of IFN-gamma diminished the migration of neutrophils across B. burgdorferi-activated endothelium. IFN-gamma thus alters gene expression by endothelium exposed to B. burgdorferi in a manner that promotes recruitment of T cells and suppresses that of neutrophils. This modulation may facilitate the development of chronic inflammatory lesions in Lyme disease."}
{"STANDARD_NAME":"GSE6092_UNSTIM_VS_IFNG_STIM_AND_B_BURGDORFERI_INF_ENDOTHELIAL_CELL_DN","SYSTEMATIC_NAME":"M6715","ORGANISM":"Homo sapiens","PMID":"17202382","AUTHORS":"Dame TM,Orenzoff BL,Palmer LE,Furie MB","GEOID":"GSE6092","EXACT_SOURCE":"GSE6092_3467_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in endothelial cells: untreated versus IFNG [GeneID=3459] and B. burgdoferi.","DESCRIPTION_FULL":"Borrelia burgdorferi, the agent of Lyme disease, promotes pro-inflammatory changes in endothelium that lead to the recruitment of leukocytes. The host immune response to infection results in increased levels of IFN-gamma in the serum and lesions of Lyme disease patients that correlate with greater severity of disease. Therefore, the effect of IFN-gamma on the gene expression profile of primary human endothelial cells exposed to B. burgdorferi was determined. B. burgdorferi and IFN-gamma synergistically augmented the expression of 34 genes, seven of which encode chemokines. Six of these (CCL7, CCL8, CX3CL1, CXCL9, CXCL10, and CXCL11) attract T lymphocytes, and one (CXCL2) is specific for neutrophils. Synergistic production of the attractants for T cells was confirmed at the protein level. IL-1beta, TNF-alpha, and LPS also cooperated with IFN-gamma to induce synergistic production of CXCL10 by endothelium, indicating that IFN-gamma potentiates inflammation in concert with a variety of mediators. An in vitro model of the blood vessel wall revealed that an increased number of human T lymphocytes traversed endothelium exposed to B. burgdorferi and IFN-gamma, as compared to unstimulated endothelial monolayers. In contrast, addition of IFN-gamma diminished the migration of neutrophils across B. burgdorferi-activated endothelium. IFN-gamma thus alters gene expression by endothelium exposed to B. burgdorferi in a manner that promotes recruitment of T cells and suppresses that of neutrophils. This modulation may facilitate the development of chronic inflammatory lesions in Lyme disease."}
{"STANDARD_NAME":"GSE6092_B_BURGDOFERI_VS_B_BURGDORFERI_AND_IFNG_STIM_ENDOTHELIAL_CELL_UP","SYSTEMATIC_NAME":"M6716","ORGANISM":"Homo sapiens","PMID":"17202382","AUTHORS":"Dame TM,Orenzoff BL,Palmer LE,Furie MB","GEOID":"GSE6092","EXACT_SOURCE":"GSE6092_3468_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in endothelial cells: B. burgdoferi versus IFNG [GeneID=3459] and B. burgdoferi .","DESCRIPTION_FULL":"Borrelia burgdorferi, the agent of Lyme disease, promotes pro-inflammatory changes in endothelium that lead to the recruitment of leukocytes. The host immune response to infection results in increased levels of IFN-gamma in the serum and lesions of Lyme disease patients that correlate with greater severity of disease. Therefore, the effect of IFN-gamma on the gene expression profile of primary human endothelial cells exposed to B. burgdorferi was determined. B. burgdorferi and IFN-gamma synergistically augmented the expression of 34 genes, seven of which encode chemokines. Six of these (CCL7, CCL8, CX3CL1, CXCL9, CXCL10, and CXCL11) attract T lymphocytes, and one (CXCL2) is specific for neutrophils. Synergistic production of the attractants for T cells was confirmed at the protein level. IL-1beta, TNF-alpha, and LPS also cooperated with IFN-gamma to induce synergistic production of CXCL10 by endothelium, indicating that IFN-gamma potentiates inflammation in concert with a variety of mediators. An in vitro model of the blood vessel wall revealed that an increased number of human T lymphocytes traversed endothelium exposed to B. burgdorferi and IFN-gamma, as compared to unstimulated endothelial monolayers. In contrast, addition of IFN-gamma diminished the migration of neutrophils across B. burgdorferi-activated endothelium. IFN-gamma thus alters gene expression by endothelium exposed to B. burgdorferi in a manner that promotes recruitment of T cells and suppresses that of neutrophils. This modulation may facilitate the development of chronic inflammatory lesions in Lyme disease."}
{"STANDARD_NAME":"GSE6092_B_BURGDOFERI_VS_B_BURGDORFERI_AND_IFNG_STIM_ENDOTHELIAL_CELL_DN","SYSTEMATIC_NAME":"M6717","ORGANISM":"Homo sapiens","PMID":"17202382","AUTHORS":"Dame TM,Orenzoff BL,Palmer LE,Furie MB","GEOID":"GSE6092","EXACT_SOURCE":"GSE6092_3468_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in endothelial cells: B. burgdoferi versus IFNG [GeneID=3459] and B. burgdoferi .","DESCRIPTION_FULL":"Borrelia burgdorferi, the agent of Lyme disease, promotes pro-inflammatory changes in endothelium that lead to the recruitment of leukocytes. The host immune response to infection results in increased levels of IFN-gamma in the serum and lesions of Lyme disease patients that correlate with greater severity of disease. Therefore, the effect of IFN-gamma on the gene expression profile of primary human endothelial cells exposed to B. burgdorferi was determined. B. burgdorferi and IFN-gamma synergistically augmented the expression of 34 genes, seven of which encode chemokines. Six of these (CCL7, CCL8, CX3CL1, CXCL9, CXCL10, and CXCL11) attract T lymphocytes, and one (CXCL2) is specific for neutrophils. Synergistic production of the attractants for T cells was confirmed at the protein level. IL-1beta, TNF-alpha, and LPS also cooperated with IFN-gamma to induce synergistic production of CXCL10 by endothelium, indicating that IFN-gamma potentiates inflammation in concert with a variety of mediators. An in vitro model of the blood vessel wall revealed that an increased number of human T lymphocytes traversed endothelium exposed to B. burgdorferi and IFN-gamma, as compared to unstimulated endothelial monolayers. In contrast, addition of IFN-gamma diminished the migration of neutrophils across B. burgdorferi-activated endothelium. IFN-gamma thus alters gene expression by endothelium exposed to B. burgdorferi in a manner that promotes recruitment of T cells and suppresses that of neutrophils. This modulation may facilitate the development of chronic inflammatory lesions in Lyme disease."}
{"STANDARD_NAME":"GSE6092_IFNG_VS_IFNG_AND_B_BURGDORFERI_INF_ENDOTHELIAL_CELL_UP","SYSTEMATIC_NAME":"M6718","ORGANISM":"Homo sapiens","PMID":"17202382","AUTHORS":"Dame TM,Orenzoff BL,Palmer LE,Furie MB","GEOID":"GSE6092","EXACT_SOURCE":"GSE6092_3469_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in endothelial cells: IFNG [GeneID=3459] versus IFNG [GeneID=3459] and B. burgdoferi.","DESCRIPTION_FULL":"Borrelia burgdorferi, the agent of Lyme disease, promotes pro-inflammatory changes in endothelium that lead to the recruitment of leukocytes. The host immune response to infection results in increased levels of IFN-gamma in the serum and lesions of Lyme disease patients that correlate with greater severity of disease. Therefore, the effect of IFN-gamma on the gene expression profile of primary human endothelial cells exposed to B. burgdorferi was determined. B. burgdorferi and IFN-gamma synergistically augmented the expression of 34 genes, seven of which encode chemokines. Six of these (CCL7, CCL8, CX3CL1, CXCL9, CXCL10, and CXCL11) attract T lymphocytes, and one (CXCL2) is specific for neutrophils. Synergistic production of the attractants for T cells was confirmed at the protein level. IL-1beta, TNF-alpha, and LPS also cooperated with IFN-gamma to induce synergistic production of CXCL10 by endothelium, indicating that IFN-gamma potentiates inflammation in concert with a variety of mediators. An in vitro model of the blood vessel wall revealed that an increased number of human T lymphocytes traversed endothelium exposed to B. burgdorferi and IFN-gamma, as compared to unstimulated endothelial monolayers. In contrast, addition of IFN-gamma diminished the migration of neutrophils across B. burgdorferi-activated endothelium. IFN-gamma thus alters gene expression by endothelium exposed to B. burgdorferi in a manner that promotes recruitment of T cells and suppresses that of neutrophils. This modulation may facilitate the development of chronic inflammatory lesions in Lyme disease."}
{"STANDARD_NAME":"GSE6092_IFNG_VS_IFNG_AND_B_BURGDORFERI_INF_ENDOTHELIAL_CELL_DN","SYSTEMATIC_NAME":"M6720","ORGANISM":"Homo sapiens","PMID":"17202382","AUTHORS":"Dame TM,Orenzoff BL,Palmer LE,Furie MB","GEOID":"GSE6092","EXACT_SOURCE":"GSE6092_3469_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in endothelial cells: IFNG [GeneID=3459] versus IFNG [GeneID=3459] and B. burgdoferi.","DESCRIPTION_FULL":"Borrelia burgdorferi, the agent of Lyme disease, promotes pro-inflammatory changes in endothelium that lead to the recruitment of leukocytes. The host immune response to infection results in increased levels of IFN-gamma in the serum and lesions of Lyme disease patients that correlate with greater severity of disease. Therefore, the effect of IFN-gamma on the gene expression profile of primary human endothelial cells exposed to B. burgdorferi was determined. B. burgdorferi and IFN-gamma synergistically augmented the expression of 34 genes, seven of which encode chemokines. Six of these (CCL7, CCL8, CX3CL1, CXCL9, CXCL10, and CXCL11) attract T lymphocytes, and one (CXCL2) is specific for neutrophils. Synergistic production of the attractants for T cells was confirmed at the protein level. IL-1beta, TNF-alpha, and LPS also cooperated with IFN-gamma to induce synergistic production of CXCL10 by endothelium, indicating that IFN-gamma potentiates inflammation in concert with a variety of mediators. An in vitro model of the blood vessel wall revealed that an increased number of human T lymphocytes traversed endothelium exposed to B. burgdorferi and IFN-gamma, as compared to unstimulated endothelial monolayers. In contrast, addition of IFN-gamma diminished the migration of neutrophils across B. burgdorferi-activated endothelium. IFN-gamma thus alters gene expression by endothelium exposed to B. burgdorferi in a manner that promotes recruitment of T cells and suppresses that of neutrophils. This modulation may facilitate the development of chronic inflammatory lesions in Lyme disease."}
{"STANDARD_NAME":"GSE6259_FLT3L_INDUCED_VS_WT_SPLENIC_DC_33D1_POS_UP","SYSTEMATIC_NAME":"M6721","ORGANISM":"Mus musculus","PMID":"17204652","AUTHORS":"Dudziak D,Kamphorst AO,Heidkamp GF,Buchholz VR,Trumpfheller C,Yamazaki S,Cheong C,Liu K,Lee HW,Park CG,Steinman RM,Nussenzweig MC","GEOID":"GSE6259","EXACT_SOURCE":"GSE6259_2678_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in 33D1+ spleen dendritic cells: Flt3L Melanom injected mice versus healthy controls.","DESCRIPTION_FULL":"Dendritic cells (DCs) process and present self and foreign antigens to induce tolerance or immunity. In vitro models suggest that induction of immunity is controlled by regulating the presentation of antigen, but little is known about how DCs control antigen presentation in vivo. To examine antigen processing and presentation in vivo we specifically targeted antigens to the two major subsets of DCs using chimeric monoclonal antibodies. Unlike CD8+ DCs that express the cell surface protein CD205, CD8- DCs, which are positive for the 33D1 antigen, are specialized for presentation on MHC class II. This difference in antigen processing is intrinsic to the DC subsets and associated with increased expression of proteins associated with MHC processing."}
{"STANDARD_NAME":"GSE6259_FLT3L_INDUCED_VS_WT_SPLENIC_DC_33D1_POS_DN","SYSTEMATIC_NAME":"M6722","ORGANISM":"Mus musculus","PMID":"17204652","AUTHORS":"Dudziak D,Kamphorst AO,Heidkamp GF,Buchholz VR,Trumpfheller C,Yamazaki S,Cheong C,Liu K,Lee HW,Park CG,Steinman RM,Nussenzweig MC","GEOID":"GSE6259","EXACT_SOURCE":"GSE6259_2678_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in 33D1+ spleen dendritic cells: Flt3L Melanom injected mice versus healthy controls.","DESCRIPTION_FULL":"Dendritic cells (DCs) process and present self and foreign antigens to induce tolerance or immunity. In vitro models suggest that induction of immunity is controlled by regulating the presentation of antigen, but little is known about how DCs control antigen presentation in vivo. To examine antigen processing and presentation in vivo we specifically targeted antigens to the two major subsets of DCs using chimeric monoclonal antibodies. Unlike CD8+ DCs that express the cell surface protein CD205, CD8- DCs, which are positive for the 33D1 antigen, are specialized for presentation on MHC class II. This difference in antigen processing is intrinsic to the DC subsets and associated with increased expression of proteins associated with MHC processing."}
{"STANDARD_NAME":"GSE6259_33D1_POS_VS_DEC205_POS_FLT3L_INDUCED_SPLENIC_DC_UP","SYSTEMATIC_NAME":"M6723","ORGANISM":"Mus musculus","PMID":"17204652","AUTHORS":"Dudziak D,Kamphorst AO,Heidkamp GF,Buchholz VR,Trumpfheller C,Yamazaki S,Cheong C,Liu K,Lee HW,Park CG,Steinman RM,Nussenzweig MC","GEOID":"GSE6259","EXACT_SOURCE":"GSE6259_2679_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in spleen dendritic cells from Flt3L Melanom injected mice: 33D1+ versus DEC205+ subpopulations.","DESCRIPTION_FULL":"Dendritic cells (DCs) process and present self and foreign antigens to induce tolerance or immunity. In vitro models suggest that induction of immunity is controlled by regulating the presentation of antigen, but little is known about how DCs control antigen presentation in vivo. To examine antigen processing and presentation in vivo we specifically targeted antigens to the two major subsets of DCs using chimeric monoclonal antibodies. Unlike CD8+ DCs that express the cell surface protein CD205, CD8- DCs, which are positive for the 33D1 antigen, are specialized for presentation on MHC class II. This difference in antigen processing is intrinsic to the DC subsets and associated with increased expression of proteins associated with MHC processing."}
{"STANDARD_NAME":"GSE6259_33D1_POS_VS_DEC205_POS_FLT3L_INDUCED_SPLENIC_DC_DN","SYSTEMATIC_NAME":"M6728","ORGANISM":"Mus musculus","PMID":"17204652","AUTHORS":"Dudziak D,Kamphorst AO,Heidkamp GF,Buchholz VR,Trumpfheller C,Yamazaki S,Cheong C,Liu K,Lee HW,Park CG,Steinman RM,Nussenzweig MC","GEOID":"GSE6259","EXACT_SOURCE":"GSE6259_2679_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in spleen dendritic cells from Flt3L Melanom injected mice: 33D1+ versus DEC205+ subpopulations.","DESCRIPTION_FULL":"Dendritic cells (DCs) process and present self and foreign antigens to induce tolerance or immunity. In vitro models suggest that induction of immunity is controlled by regulating the presentation of antigen, but little is known about how DCs control antigen presentation in vivo. To examine antigen processing and presentation in vivo we specifically targeted antigens to the two major subsets of DCs using chimeric monoclonal antibodies. Unlike CD8+ DCs that express the cell surface protein CD205, CD8- DCs, which are positive for the 33D1 antigen, are specialized for presentation on MHC class II. This difference in antigen processing is intrinsic to the DC subsets and associated with increased expression of proteins associated with MHC processing."}
{"STANDARD_NAME":"GSE6259_33D1_POS_VS_DEC205_POS_SPLENIC_DC_UP","SYSTEMATIC_NAME":"M6730","ORGANISM":"Mus musculus","PMID":"17204652","AUTHORS":"Dudziak D,Kamphorst AO,Heidkamp GF,Buchholz VR,Trumpfheller C,Yamazaki S,Cheong C,Liu K,Lee HW,Park CG,Steinman RM,Nussenzweig MC","GEOID":"GSE6259","EXACT_SOURCE":"GSE6259_2680_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in spleen dendritic cells from healthy mice: 33D1+ versus DEC205+ subpopulations.","DESCRIPTION_FULL":"Dendritic cells (DCs) process and present self and foreign antigens to induce tolerance or immunity. In vitro models suggest that induction of immunity is controlled by regulating the presentation of antigen, but little is known about how DCs control antigen presentation in vivo. To examine antigen processing and presentation in vivo we specifically targeted antigens to the two major subsets of DCs using chimeric monoclonal antibodies. Unlike CD8+ DCs that express the cell surface protein CD205, CD8- DCs, which are positive for the 33D1 antigen, are specialized for presentation on MHC class II. This difference in antigen processing is intrinsic to the DC subsets and associated with increased expression of proteins associated with MHC processing."}
{"STANDARD_NAME":"GSE6259_33D1_POS_VS_DEC205_POS_SPLENIC_DC_DN","SYSTEMATIC_NAME":"M6731","ORGANISM":"Mus musculus","PMID":"17204652","AUTHORS":"Dudziak D,Kamphorst AO,Heidkamp GF,Buchholz VR,Trumpfheller C,Yamazaki S,Cheong C,Liu K,Lee HW,Park CG,Steinman RM,Nussenzweig MC","GEOID":"GSE6259","EXACT_SOURCE":"GSE6259_2680_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in spleen dendritic cells from healthy mice: 33D1+ versus DEC205+ subpopulations.","DESCRIPTION_FULL":"Dendritic cells (DCs) process and present self and foreign antigens to induce tolerance or immunity. In vitro models suggest that induction of immunity is controlled by regulating the presentation of antigen, but little is known about how DCs control antigen presentation in vivo. To examine antigen processing and presentation in vivo we specifically targeted antigens to the two major subsets of DCs using chimeric monoclonal antibodies. Unlike CD8+ DCs that express the cell surface protein CD205, CD8- DCs, which are positive for the 33D1 antigen, are specialized for presentation on MHC class II. This difference in antigen processing is intrinsic to the DC subsets and associated with increased expression of proteins associated with MHC processing."}
{"STANDARD_NAME":"GSE6259_BCELL_VS_CD4_TCELL_UP","SYSTEMATIC_NAME":"M6732","ORGANISM":"Mus musculus","PMID":"17204652","AUTHORS":"Dudziak D,Kamphorst AO,Heidkamp GF,Buchholz VR,Trumpfheller C,Yamazaki S,Cheong C,Liu K,Lee HW,Park CG,Steinman RM,Nussenzweig MC","GEOID":"GSE6259","EXACT_SOURCE":"GSE6259_2681_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in B lymphocytes versus CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"Dendritic cells (DCs) process and present self and foreign antigens to induce tolerance or immunity. In vitro models suggest that induction of immunity is controlled by regulating the presentation of antigen, but little is known about how DCs control antigen presentation in vivo. To examine antigen processing and presentation in vivo we specifically targeted antigens to the two major subsets of DCs using chimeric monoclonal antibodies. Unlike CD8+ DCs that express the cell surface protein CD205, CD8- DCs, which are positive for the 33D1 antigen, are specialized for presentation on MHC class II. This difference in antigen processing is intrinsic to the DC subsets and associated with increased expression of proteins associated with MHC processing."}
{"STANDARD_NAME":"GSE6259_BCELL_VS_CD4_TCELL_DN","SYSTEMATIC_NAME":"M6733","ORGANISM":"Mus musculus","PMID":"17204652","AUTHORS":"Dudziak D,Kamphorst AO,Heidkamp GF,Buchholz VR,Trumpfheller C,Yamazaki S,Cheong C,Liu K,Lee HW,Park CG,Steinman RM,Nussenzweig MC","GEOID":"GSE6259","EXACT_SOURCE":"GSE6259_2681_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in B lymphocytes versus CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"Dendritic cells (DCs) process and present self and foreign antigens to induce tolerance or immunity. In vitro models suggest that induction of immunity is controlled by regulating the presentation of antigen, but little is known about how DCs control antigen presentation in vivo. To examine antigen processing and presentation in vivo we specifically targeted antigens to the two major subsets of DCs using chimeric monoclonal antibodies. Unlike CD8+ DCs that express the cell surface protein CD205, CD8- DCs, which are positive for the 33D1 antigen, are specialized for presentation on MHC class II. This difference in antigen processing is intrinsic to the DC subsets and associated with increased expression of proteins associated with MHC processing."}
{"STANDARD_NAME":"GSE6259_BCELL_VS_CD8_TCELL_UP","SYSTEMATIC_NAME":"M6735","ORGANISM":"Mus musculus","PMID":"17204652","AUTHORS":"Dudziak D,Kamphorst AO,Heidkamp GF,Buchholz VR,Trumpfheller C,Yamazaki S,Cheong C,Liu K,Lee HW,Park CG,Steinman RM,Nussenzweig MC","GEOID":"GSE6259","EXACT_SOURCE":"GSE6259_2682_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in B lymphocytes versus CD8 T cells.","DESCRIPTION_FULL":"Dendritic cells (DCs) process and present self and foreign antigens to induce tolerance or immunity. In vitro models suggest that induction of immunity is controlled by regulating the presentation of antigen, but little is known about how DCs control antigen presentation in vivo. To examine antigen processing and presentation in vivo we specifically targeted antigens to the two major subsets of DCs using chimeric monoclonal antibodies. Unlike CD8+ DCs that express the cell surface protein CD205, CD8- DCs, which are positive for the 33D1 antigen, are specialized for presentation on MHC class II. This difference in antigen processing is intrinsic to the DC subsets and associated with increased expression of proteins associated with MHC processing."}
{"STANDARD_NAME":"GSE6259_BCELL_VS_CD8_TCELL_DN","SYSTEMATIC_NAME":"M6736","ORGANISM":"Mus musculus","PMID":"17204652","AUTHORS":"Dudziak D,Kamphorst AO,Heidkamp GF,Buchholz VR,Trumpfheller C,Yamazaki S,Cheong C,Liu K,Lee HW,Park CG,Steinman RM,Nussenzweig MC","GEOID":"GSE6259","EXACT_SOURCE":"GSE6259_2682_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in B lymphocytes versus CD8 T cells.","DESCRIPTION_FULL":"Dendritic cells (DCs) process and present self and foreign antigens to induce tolerance or immunity. In vitro models suggest that induction of immunity is controlled by regulating the presentation of antigen, but little is known about how DCs control antigen presentation in vivo. To examine antigen processing and presentation in vivo we specifically targeted antigens to the two major subsets of DCs using chimeric monoclonal antibodies. Unlike CD8+ DCs that express the cell surface protein CD205, CD8- DCs, which are positive for the 33D1 antigen, are specialized for presentation on MHC class II. This difference in antigen processing is intrinsic to the DC subsets and associated with increased expression of proteins associated with MHC processing."}
{"STANDARD_NAME":"GSE6259_CD4_TCELL_VS_CD8_TCELL_UP","SYSTEMATIC_NAME":"M6738","ORGANISM":"Mus musculus","PMID":"17204652","AUTHORS":"Dudziak D,Kamphorst AO,Heidkamp GF,Buchholz VR,Trumpfheller C,Yamazaki S,Cheong C,Liu K,Lee HW,Park CG,Steinman RM,Nussenzweig MC","GEOID":"GSE6259","EXACT_SOURCE":"GSE6259_2683_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in T cells: CD4 [GeneID=920] versus CD8.","DESCRIPTION_FULL":"Dendritic cells (DCs) process and present self and foreign antigens to induce tolerance or immunity. In vitro models suggest that induction of immunity is controlled by regulating the presentation of antigen, but little is known about how DCs control antigen presentation in vivo. To examine antigen processing and presentation in vivo we specifically targeted antigens to the two major subsets of DCs using chimeric monoclonal antibodies. Unlike CD8+ DCs that express the cell surface protein CD205, CD8- DCs, which are positive for the 33D1 antigen, are specialized for presentation on MHC class II. This difference in antigen processing is intrinsic to the DC subsets and associated with increased expression of proteins associated with MHC processing."}
{"STANDARD_NAME":"GSE6259_CD4_TCELL_VS_CD8_TCELL_DN","SYSTEMATIC_NAME":"M6739","ORGANISM":"Mus musculus","PMID":"17204652","AUTHORS":"Dudziak D,Kamphorst AO,Heidkamp GF,Buchholz VR,Trumpfheller C,Yamazaki S,Cheong C,Liu K,Lee HW,Park CG,Steinman RM,Nussenzweig MC","GEOID":"GSE6259","EXACT_SOURCE":"GSE6259_2683_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in T cells: CD4 [GeneID=920] versus CD8.","DESCRIPTION_FULL":"Dendritic cells (DCs) process and present self and foreign antigens to induce tolerance or immunity. In vitro models suggest that induction of immunity is controlled by regulating the presentation of antigen, but little is known about how DCs control antigen presentation in vivo. To examine antigen processing and presentation in vivo we specifically targeted antigens to the two major subsets of DCs using chimeric monoclonal antibodies. Unlike CD8+ DCs that express the cell surface protein CD205, CD8- DCs, which are positive for the 33D1 antigen, are specialized for presentation on MHC class II. This difference in antigen processing is intrinsic to the DC subsets and associated with increased expression of proteins associated with MHC processing."}
{"STANDARD_NAME":"GSE6259_FLT3L_INDUCED_33D1_POS_DC_VS_BCELL_UP","SYSTEMATIC_NAME":"M6741","ORGANISM":"Mus musculus","PMID":"17204652","AUTHORS":"Dudziak D,Kamphorst AO,Heidkamp GF,Buchholz VR,Trumpfheller C,Yamazaki S,Cheong C,Liu K,Lee HW,Park CG,Steinman RM,Nussenzweig MC","GEOID":"GSE6259","EXACT_SOURCE":"GSE6259_2684_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in cells from Flt3L Melanom injected mice: 33D1+ versus B lymphocytes.","DESCRIPTION_FULL":"Dendritic cells (DCs) process and present self and foreign antigens to induce tolerance or immunity. In vitro models suggest that induction of immunity is controlled by regulating the presentation of antigen, but little is known about how DCs control antigen presentation in vivo. To examine antigen processing and presentation in vivo we specifically targeted antigens to the two major subsets of DCs using chimeric monoclonal antibodies. Unlike CD8+ DCs that express the cell surface protein CD205, CD8- DCs, which are positive for the 33D1 antigen, are specialized for presentation on MHC class II. This difference in antigen processing is intrinsic to the DC subsets and associated with increased expression of proteins associated with MHC processing."}
{"STANDARD_NAME":"GSE6259_FLT3L_INDUCED_33D1_POS_DC_VS_BCELL_DN","SYSTEMATIC_NAME":"M6745","ORGANISM":"Mus musculus","PMID":"17204652","AUTHORS":"Dudziak D,Kamphorst AO,Heidkamp GF,Buchholz VR,Trumpfheller C,Yamazaki S,Cheong C,Liu K,Lee HW,Park CG,Steinman RM,Nussenzweig MC","GEOID":"GSE6259","EXACT_SOURCE":"GSE6259_2684_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in cells from Flt3L Melanom injected mice: 33D1+ versus B lymphocytes.","DESCRIPTION_FULL":"Dendritic cells (DCs) process and present self and foreign antigens to induce tolerance or immunity. In vitro models suggest that induction of immunity is controlled by regulating the presentation of antigen, but little is known about how DCs control antigen presentation in vivo. To examine antigen processing and presentation in vivo we specifically targeted antigens to the two major subsets of DCs using chimeric monoclonal antibodies. Unlike CD8+ DCs that express the cell surface protein CD205, CD8- DCs, which are positive for the 33D1 antigen, are specialized for presentation on MHC class II. This difference in antigen processing is intrinsic to the DC subsets and associated with increased expression of proteins associated with MHC processing."}
{"STANDARD_NAME":"GSE6259_FLT3L_INDUCED_33D1_POS_DC_VS_CD4_TCELL_UP","SYSTEMATIC_NAME":"M6746","ORGANISM":"Mus musculus","PMID":"17204652","AUTHORS":"Dudziak D,Kamphorst AO,Heidkamp GF,Buchholz VR,Trumpfheller C,Yamazaki S,Cheong C,Liu K,Lee HW,Park CG,Steinman RM,Nussenzweig MC","GEOID":"GSE6259","EXACT_SOURCE":"GSE6259_2685_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in cells from Flt3L Melanom injected mice: 33D1+ versus CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"Dendritic cells (DCs) process and present self and foreign antigens to induce tolerance or immunity. In vitro models suggest that induction of immunity is controlled by regulating the presentation of antigen, but little is known about how DCs control antigen presentation in vivo. To examine antigen processing and presentation in vivo we specifically targeted antigens to the two major subsets of DCs using chimeric monoclonal antibodies. Unlike CD8+ DCs that express the cell surface protein CD205, CD8- DCs, which are positive for the 33D1 antigen, are specialized for presentation on MHC class II. This difference in antigen processing is intrinsic to the DC subsets and associated with increased expression of proteins associated with MHC processing."}
{"STANDARD_NAME":"GSE6259_FLT3L_INDUCED_33D1_POS_DC_VS_CD4_TCELL_DN","SYSTEMATIC_NAME":"M6747","ORGANISM":"Mus musculus","PMID":"17204652","AUTHORS":"Dudziak D,Kamphorst AO,Heidkamp GF,Buchholz VR,Trumpfheller C,Yamazaki S,Cheong C,Liu K,Lee HW,Park CG,Steinman RM,Nussenzweig MC","GEOID":"GSE6259","EXACT_SOURCE":"GSE6259_2685_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in cells from Flt3L Melanom injected mice: 33D1+ versus CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"Dendritic cells (DCs) process and present self and foreign antigens to induce tolerance or immunity. In vitro models suggest that induction of immunity is controlled by regulating the presentation of antigen, but little is known about how DCs control antigen presentation in vivo. To examine antigen processing and presentation in vivo we specifically targeted antigens to the two major subsets of DCs using chimeric monoclonal antibodies. Unlike CD8+ DCs that express the cell surface protein CD205, CD8- DCs, which are positive for the 33D1 antigen, are specialized for presentation on MHC class II. This difference in antigen processing is intrinsic to the DC subsets and associated with increased expression of proteins associated with MHC processing."}
{"STANDARD_NAME":"GSE6259_FLT3L_INDUCED_33D1_POS_DC_VS_CD8_TCELL_UP","SYSTEMATIC_NAME":"M6748","ORGANISM":"Mus musculus","PMID":"17204652","AUTHORS":"Dudziak D,Kamphorst AO,Heidkamp GF,Buchholz VR,Trumpfheller C,Yamazaki S,Cheong C,Liu K,Lee HW,Park CG,Steinman RM,Nussenzweig MC","GEOID":"GSE6259","EXACT_SOURCE":"GSE6259_2686_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in cells from Flt3L Melanom injected mice: 33D1+ versus CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"Dendritic cells (DCs) process and present self and foreign antigens to induce tolerance or immunity. In vitro models suggest that induction of immunity is controlled by regulating the presentation of antigen, but little is known about how DCs control antigen presentation in vivo. To examine antigen processing and presentation in vivo we specifically targeted antigens to the two major subsets of DCs using chimeric monoclonal antibodies. Unlike CD8+ DCs that express the cell surface protein CD205, CD8- DCs, which are positive for the 33D1 antigen, are specialized for presentation on MHC class II. This difference in antigen processing is intrinsic to the DC subsets and associated with increased expression of proteins associated with MHC processing."}
{"STANDARD_NAME":"GSE6259_FLT3L_INDUCED_33D1_POS_DC_VS_CD8_TCELL_DN","SYSTEMATIC_NAME":"M6749","ORGANISM":"Mus musculus","PMID":"17204652","AUTHORS":"Dudziak D,Kamphorst AO,Heidkamp GF,Buchholz VR,Trumpfheller C,Yamazaki S,Cheong C,Liu K,Lee HW,Park CG,Steinman RM,Nussenzweig MC","GEOID":"GSE6259","EXACT_SOURCE":"GSE6259_2686_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in cells from Flt3L Melanom injected mice: 33D1+ versus CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"Dendritic cells (DCs) process and present self and foreign antigens to induce tolerance or immunity. In vitro models suggest that induction of immunity is controlled by regulating the presentation of antigen, but little is known about how DCs control antigen presentation in vivo. To examine antigen processing and presentation in vivo we specifically targeted antigens to the two major subsets of DCs using chimeric monoclonal antibodies. Unlike CD8+ DCs that express the cell surface protein CD205, CD8- DCs, which are positive for the 33D1 antigen, are specialized for presentation on MHC class II. This difference in antigen processing is intrinsic to the DC subsets and associated with increased expression of proteins associated with MHC processing."}
{"STANDARD_NAME":"GSE6259_33D1_POS_DC_VS_BCELL_UP","SYSTEMATIC_NAME":"M6751","ORGANISM":"Mus musculus","PMID":"17204652","AUTHORS":"Dudziak D,Kamphorst AO,Heidkamp GF,Buchholz VR,Trumpfheller C,Yamazaki S,Cheong C,Liu K,Lee HW,Park CG,Steinman RM,Nussenzweig MC","GEOID":"GSE6259","EXACT_SOURCE":"GSE6259_2687_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in splenic dendritic cells versus 33D1+ B lymphocytes.","DESCRIPTION_FULL":"Dendritic cells (DCs) process and present self and foreign antigens to induce tolerance or immunity. In vitro models suggest that induction of immunity is controlled by regulating the presentation of antigen, but little is known about how DCs control antigen presentation in vivo. To examine antigen processing and presentation in vivo we specifically targeted antigens to the two major subsets of DCs using chimeric monoclonal antibodies. Unlike CD8+ DCs that express the cell surface protein CD205, CD8- DCs, which are positive for the 33D1 antigen, are specialized for presentation on MHC class II. This difference in antigen processing is intrinsic to the DC subsets and associated with increased expression of proteins associated with MHC processing."}
{"STANDARD_NAME":"GSE6259_33D1_POS_DC_VS_BCELL_DN","SYSTEMATIC_NAME":"M6755","ORGANISM":"Mus musculus","PMID":"17204652","AUTHORS":"Dudziak D,Kamphorst AO,Heidkamp GF,Buchholz VR,Trumpfheller C,Yamazaki S,Cheong C,Liu K,Lee HW,Park CG,Steinman RM,Nussenzweig MC","GEOID":"GSE6259","EXACT_SOURCE":"GSE6259_2687_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in splenic dendritic cells versus 33D1+ B lymphocytes.","DESCRIPTION_FULL":"Dendritic cells (DCs) process and present self and foreign antigens to induce tolerance or immunity. In vitro models suggest that induction of immunity is controlled by regulating the presentation of antigen, but little is known about how DCs control antigen presentation in vivo. To examine antigen processing and presentation in vivo we specifically targeted antigens to the two major subsets of DCs using chimeric monoclonal antibodies. Unlike CD8+ DCs that express the cell surface protein CD205, CD8- DCs, which are positive for the 33D1 antigen, are specialized for presentation on MHC class II. This difference in antigen processing is intrinsic to the DC subsets and associated with increased expression of proteins associated with MHC processing."}
{"STANDARD_NAME":"GSE6259_33D1_POS_DC_VS_CD4_TCELL_UP","SYSTEMATIC_NAME":"M6756","ORGANISM":"Mus musculus","PMID":"17204652","AUTHORS":"Dudziak D,Kamphorst AO,Heidkamp GF,Buchholz VR,Trumpfheller C,Yamazaki S,Cheong C,Liu K,Lee HW,Park CG,Steinman RM,Nussenzweig MC","GEOID":"GSE6259","EXACT_SOURCE":"GSE6259_2688_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in splenic CD 33D1+ dendritic cells versus CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"Dendritic cells (DCs) process and present self and foreign antigens to induce tolerance or immunity. In vitro models suggest that induction of immunity is controlled by regulating the presentation of antigen, but little is known about how DCs control antigen presentation in vivo. To examine antigen processing and presentation in vivo we specifically targeted antigens to the two major subsets of DCs using chimeric monoclonal antibodies. Unlike CD8+ DCs that express the cell surface protein CD205, CD8- DCs, which are positive for the 33D1 antigen, are specialized for presentation on MHC class II. This difference in antigen processing is intrinsic to the DC subsets and associated with increased expression of proteins associated with MHC processing."}
{"STANDARD_NAME":"GSE6259_33D1_POS_DC_VS_CD4_TCELL_DN","SYSTEMATIC_NAME":"M6757","ORGANISM":"Mus musculus","PMID":"17204652","AUTHORS":"Dudziak D,Kamphorst AO,Heidkamp GF,Buchholz VR,Trumpfheller C,Yamazaki S,Cheong C,Liu K,Lee HW,Park CG,Steinman RM,Nussenzweig MC","GEOID":"GSE6259","EXACT_SOURCE":"GSE6259_2688_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in splenic CD 33D1+ dendritic cells versus CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"Dendritic cells (DCs) process and present self and foreign antigens to induce tolerance or immunity. In vitro models suggest that induction of immunity is controlled by regulating the presentation of antigen, but little is known about how DCs control antigen presentation in vivo. To examine antigen processing and presentation in vivo we specifically targeted antigens to the two major subsets of DCs using chimeric monoclonal antibodies. Unlike CD8+ DCs that express the cell surface protein CD205, CD8- DCs, which are positive for the 33D1 antigen, are specialized for presentation on MHC class II. This difference in antigen processing is intrinsic to the DC subsets and associated with increased expression of proteins associated with MHC processing."}
{"STANDARD_NAME":"GSE6259_33D1_POS_DC_VS_CD8_TCELL_UP","SYSTEMATIC_NAME":"M6758","ORGANISM":"Mus musculus","PMID":"17204652","AUTHORS":"Dudziak D,Kamphorst AO,Heidkamp GF,Buchholz VR,Trumpfheller C,Yamazaki S,Cheong C,Liu K,Lee HW,Park CG,Steinman RM,Nussenzweig MC","GEOID":"GSE6259","EXACT_SOURCE":"GSE6259_2689_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in splenic 33D1+ dendritic cells versus CD8 T cells.","DESCRIPTION_FULL":"Dendritic cells (DCs) process and present self and foreign antigens to induce tolerance or immunity. In vitro models suggest that induction of immunity is controlled by regulating the presentation of antigen, but little is known about how DCs control antigen presentation in vivo. To examine antigen processing and presentation in vivo we specifically targeted antigens to the two major subsets of DCs using chimeric monoclonal antibodies. Unlike CD8+ DCs that express the cell surface protein CD205, CD8- DCs, which are positive for the 33D1 antigen, are specialized for presentation on MHC class II. This difference in antigen processing is intrinsic to the DC subsets and associated with increased expression of proteins associated with MHC processing."}
{"STANDARD_NAME":"GSE6259_33D1_POS_DC_VS_CD8_TCELL_DN","SYSTEMATIC_NAME":"M6759","ORGANISM":"Mus musculus","PMID":"17204652","AUTHORS":"Dudziak D,Kamphorst AO,Heidkamp GF,Buchholz VR,Trumpfheller C,Yamazaki S,Cheong C,Liu K,Lee HW,Park CG,Steinman RM,Nussenzweig MC","GEOID":"GSE6259","EXACT_SOURCE":"GSE6259_2689_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in splenic 33D1+ dendritic cells versus CD8 T cells.","DESCRIPTION_FULL":"Dendritic cells (DCs) process and present self and foreign antigens to induce tolerance or immunity. In vitro models suggest that induction of immunity is controlled by regulating the presentation of antigen, but little is known about how DCs control antigen presentation in vivo. To examine antigen processing and presentation in vivo we specifically targeted antigens to the two major subsets of DCs using chimeric monoclonal antibodies. Unlike CD8+ DCs that express the cell surface protein CD205, CD8- DCs, which are positive for the 33D1 antigen, are specialized for presentation on MHC class II. This difference in antigen processing is intrinsic to the DC subsets and associated with increased expression of proteins associated with MHC processing."}
{"STANDARD_NAME":"GSE6259_FLT3L_INDUCED_DEC205_POS_DC_VS_BCELL_UP","SYSTEMATIC_NAME":"M6760","ORGANISM":"Mus musculus","PMID":"17204652","AUTHORS":"Dudziak D,Kamphorst AO,Heidkamp GF,Buchholz VR,Trumpfheller C,Yamazaki S,Cheong C,Liu K,Lee HW,Park CG,Steinman RM,Nussenzweig MC","GEOID":"GSE6259","EXACT_SOURCE":"GSE6259_2690_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in cells from Flt3L Melanom injected mice: splenic DEC205+ dendritic cells versus B lymphocytes.","DESCRIPTION_FULL":"Dendritic cells (DCs) process and present self and foreign antigens to induce tolerance or immunity. In vitro models suggest that induction of immunity is controlled by regulating the presentation of antigen, but little is known about how DCs control antigen presentation in vivo. To examine antigen processing and presentation in vivo we specifically targeted antigens to the two major subsets of DCs using chimeric monoclonal antibodies. Unlike CD8+ DCs that express the cell surface protein CD205, CD8- DCs, which are positive for the 33D1 antigen, are specialized for presentation on MHC class II. This difference in antigen processing is intrinsic to the DC subsets and associated with increased expression of proteins associated with MHC processing."}
{"STANDARD_NAME":"GSE6259_FLT3L_INDUCED_DEC205_POS_DC_VS_BCELL_DN","SYSTEMATIC_NAME":"M6762","ORGANISM":"Mus musculus","PMID":"17204652","AUTHORS":"Dudziak D,Kamphorst AO,Heidkamp GF,Buchholz VR,Trumpfheller C,Yamazaki S,Cheong C,Liu K,Lee HW,Park CG,Steinman RM,Nussenzweig MC","GEOID":"GSE6259","EXACT_SOURCE":"GSE6259_2690_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in cells from Flt3L Melanom injected mice: splenic DEC205+ dendritic cells versus B lymphocytes.","DESCRIPTION_FULL":"Dendritic cells (DCs) process and present self and foreign antigens to induce tolerance or immunity. In vitro models suggest that induction of immunity is controlled by regulating the presentation of antigen, but little is known about how DCs control antigen presentation in vivo. To examine antigen processing and presentation in vivo we specifically targeted antigens to the two major subsets of DCs using chimeric monoclonal antibodies. Unlike CD8+ DCs that express the cell surface protein CD205, CD8- DCs, which are positive for the 33D1 antigen, are specialized for presentation on MHC class II. This difference in antigen processing is intrinsic to the DC subsets and associated with increased expression of proteins associated with MHC processing."}
{"STANDARD_NAME":"GSE6259_FLT3L_INDUCED_DEC205_POS_DC_VS_CD4_TCELL_UP","SYSTEMATIC_NAME":"M6763","ORGANISM":"Mus musculus","PMID":"17204652","AUTHORS":"Dudziak D,Kamphorst AO,Heidkamp GF,Buchholz VR,Trumpfheller C,Yamazaki S,Cheong C,Liu K,Lee HW,Park CG,Steinman RM,Nussenzweig MC","GEOID":"GSE6259","EXACT_SOURCE":"GSE6259_2691_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in cells from Flt3L Melanom injected mice: splenic DEC205+ dendritic cells versus CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"Dendritic cells (DCs) process and present self and foreign antigens to induce tolerance or immunity. In vitro models suggest that induction of immunity is controlled by regulating the presentation of antigen, but little is known about how DCs control antigen presentation in vivo. To examine antigen processing and presentation in vivo we specifically targeted antigens to the two major subsets of DCs using chimeric monoclonal antibodies. Unlike CD8+ DCs that express the cell surface protein CD205, CD8- DCs, which are positive for the 33D1 antigen, are specialized for presentation on MHC class II. This difference in antigen processing is intrinsic to the DC subsets and associated with increased expression of proteins associated with MHC processing."}
{"STANDARD_NAME":"GSE6259_FLT3L_INDUCED_DEC205_POS_DC_VS_CD4_TCELL_DN","SYSTEMATIC_NAME":"M6764","ORGANISM":"Mus musculus","PMID":"17204652","AUTHORS":"Dudziak D,Kamphorst AO,Heidkamp GF,Buchholz VR,Trumpfheller C,Yamazaki S,Cheong C,Liu K,Lee HW,Park CG,Steinman RM,Nussenzweig MC","GEOID":"GSE6259","EXACT_SOURCE":"GSE6259_2691_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in cells from Flt3L Melanom injected mice: splenic DEC205+ dendritic cells versus CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"Dendritic cells (DCs) process and present self and foreign antigens to induce tolerance or immunity. In vitro models suggest that induction of immunity is controlled by regulating the presentation of antigen, but little is known about how DCs control antigen presentation in vivo. To examine antigen processing and presentation in vivo we specifically targeted antigens to the two major subsets of DCs using chimeric monoclonal antibodies. Unlike CD8+ DCs that express the cell surface protein CD205, CD8- DCs, which are positive for the 33D1 antigen, are specialized for presentation on MHC class II. This difference in antigen processing is intrinsic to the DC subsets and associated with increased expression of proteins associated with MHC processing."}
{"STANDARD_NAME":"GSE6259_FLT3L_INDUCED_DEC205_POS_DC_VS_CD8_TCELL_UP","SYSTEMATIC_NAME":"M6765","ORGANISM":"Mus musculus","PMID":"17204652","AUTHORS":"Dudziak D,Kamphorst AO,Heidkamp GF,Buchholz VR,Trumpfheller C,Yamazaki S,Cheong C,Liu K,Lee HW,Park CG,Steinman RM,Nussenzweig MC","GEOID":"GSE6259","EXACT_SOURCE":"GSE6259_2692_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in cells from Flt3L Melanom injected mice: splenic DEC205+ dendritic cells versus CD8 T cells.","DESCRIPTION_FULL":"Dendritic cells (DCs) process and present self and foreign antigens to induce tolerance or immunity. In vitro models suggest that induction of immunity is controlled by regulating the presentation of antigen, but little is known about how DCs control antigen presentation in vivo. To examine antigen processing and presentation in vivo we specifically targeted antigens to the two major subsets of DCs using chimeric monoclonal antibodies. Unlike CD8+ DCs that express the cell surface protein CD205, CD8- DCs, which are positive for the 33D1 antigen, are specialized for presentation on MHC class II. This difference in antigen processing is intrinsic to the DC subsets and associated with increased expression of proteins associated with MHC processing."}
{"STANDARD_NAME":"GSE6259_FLT3L_INDUCED_DEC205_POS_DC_VS_CD8_TCELL_DN","SYSTEMATIC_NAME":"M6769","ORGANISM":"Mus musculus","PMID":"17204652","AUTHORS":"Dudziak D,Kamphorst AO,Heidkamp GF,Buchholz VR,Trumpfheller C,Yamazaki S,Cheong C,Liu K,Lee HW,Park CG,Steinman RM,Nussenzweig MC","GEOID":"GSE6259","EXACT_SOURCE":"GSE6259_2692_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in cells from Flt3L Melanom injected mice: splenic DEC205+ dendritic cells versus CD8 T cells.","DESCRIPTION_FULL":"Dendritic cells (DCs) process and present self and foreign antigens to induce tolerance or immunity. In vitro models suggest that induction of immunity is controlled by regulating the presentation of antigen, but little is known about how DCs control antigen presentation in vivo. To examine antigen processing and presentation in vivo we specifically targeted antigens to the two major subsets of DCs using chimeric monoclonal antibodies. Unlike CD8+ DCs that express the cell surface protein CD205, CD8- DCs, which are positive for the 33D1 antigen, are specialized for presentation on MHC class II. This difference in antigen processing is intrinsic to the DC subsets and associated with increased expression of proteins associated with MHC processing."}
{"STANDARD_NAME":"GSE6259_DEC205_POS_DC_VS_BCELL_UP","SYSTEMATIC_NAME":"M6770","ORGANISM":"Mus musculus","PMID":"17204652","AUTHORS":"Dudziak D,Kamphorst AO,Heidkamp GF,Buchholz VR,Trumpfheller C,Yamazaki S,Cheong C,Liu K,Lee HW,Park CG,Steinman RM,Nussenzweig MC","GEOID":"GSE6259","EXACT_SOURCE":"GSE6259_2693_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in splenic dendritic cells: DEC205+ versus B lymphocytes.","DESCRIPTION_FULL":"Dendritic cells (DCs) process and present self and foreign antigens to induce tolerance or immunity. In vitro models suggest that induction of immunity is controlled by regulating the presentation of antigen, but little is known about how DCs control antigen presentation in vivo. To examine antigen processing and presentation in vivo we specifically targeted antigens to the two major subsets of DCs using chimeric monoclonal antibodies. Unlike CD8+ DCs that express the cell surface protein CD205, CD8- DCs, which are positive for the 33D1 antigen, are specialized for presentation on MHC class II. This difference in antigen processing is intrinsic to the DC subsets and associated with increased expression of proteins associated with MHC processing."}
{"STANDARD_NAME":"GSE6259_DEC205_POS_DC_VS_BCELL_DN","SYSTEMATIC_NAME":"M6772","ORGANISM":"Mus musculus","PMID":"17204652","AUTHORS":"Dudziak D,Kamphorst AO,Heidkamp GF,Buchholz VR,Trumpfheller C,Yamazaki S,Cheong C,Liu K,Lee HW,Park CG,Steinman RM,Nussenzweig MC","GEOID":"GSE6259","EXACT_SOURCE":"GSE6259_2693_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in splenic dendritic cells: DEC205+ versus B lymphocytes.","DESCRIPTION_FULL":"Dendritic cells (DCs) process and present self and foreign antigens to induce tolerance or immunity. In vitro models suggest that induction of immunity is controlled by regulating the presentation of antigen, but little is known about how DCs control antigen presentation in vivo. To examine antigen processing and presentation in vivo we specifically targeted antigens to the two major subsets of DCs using chimeric monoclonal antibodies. Unlike CD8+ DCs that express the cell surface protein CD205, CD8- DCs, which are positive for the 33D1 antigen, are specialized for presentation on MHC class II. This difference in antigen processing is intrinsic to the DC subsets and associated with increased expression of proteins associated with MHC processing."}
{"STANDARD_NAME":"GSE6259_DEC205_POS_DC_VS_CD4_TCELL_UP","SYSTEMATIC_NAME":"M6773","ORGANISM":"Mus musculus","PMID":"17204652","AUTHORS":"Dudziak D,Kamphorst AO,Heidkamp GF,Buchholz VR,Trumpfheller C,Yamazaki S,Cheong C,Liu K,Lee HW,Park CG,Steinman RM,Nussenzweig MC","GEOID":"GSE6259","EXACT_SOURCE":"GSE6259_2694_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in splenic DEC205+ dendritic cells versus CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"Dendritic cells (DCs) process and present self and foreign antigens to induce tolerance or immunity. In vitro models suggest that induction of immunity is controlled by regulating the presentation of antigen, but little is known about how DCs control antigen presentation in vivo. To examine antigen processing and presentation in vivo we specifically targeted antigens to the two major subsets of DCs using chimeric monoclonal antibodies. Unlike CD8+ DCs that express the cell surface protein CD205, CD8- DCs, which are positive for the 33D1 antigen, are specialized for presentation on MHC class II. This difference in antigen processing is intrinsic to the DC subsets and associated with increased expression of proteins associated with MHC processing."}
{"STANDARD_NAME":"GSE6259_DEC205_POS_DC_VS_CD4_TCELL_DN","SYSTEMATIC_NAME":"M6774","ORGANISM":"Mus musculus","PMID":"17204652","AUTHORS":"Dudziak D,Kamphorst AO,Heidkamp GF,Buchholz VR,Trumpfheller C,Yamazaki S,Cheong C,Liu K,Lee HW,Park CG,Steinman RM,Nussenzweig MC","GEOID":"GSE6259","EXACT_SOURCE":"GSE6259_2694_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in splenic DEC205+ dendritic cells versus CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"Dendritic cells (DCs) process and present self and foreign antigens to induce tolerance or immunity. In vitro models suggest that induction of immunity is controlled by regulating the presentation of antigen, but little is known about how DCs control antigen presentation in vivo. To examine antigen processing and presentation in vivo we specifically targeted antigens to the two major subsets of DCs using chimeric monoclonal antibodies. Unlike CD8+ DCs that express the cell surface protein CD205, CD8- DCs, which are positive for the 33D1 antigen, are specialized for presentation on MHC class II. This difference in antigen processing is intrinsic to the DC subsets and associated with increased expression of proteins associated with MHC processing."}
{"STANDARD_NAME":"GSE6259_DEC205_POS_DC_VS_CD8_TCELL_UP","SYSTEMATIC_NAME":"M6775","ORGANISM":"Mus musculus","PMID":"17204652","AUTHORS":"Dudziak D,Kamphorst AO,Heidkamp GF,Buchholz VR,Trumpfheller C,Yamazaki S,Cheong C,Liu K,Lee HW,Park CG,Steinman RM,Nussenzweig MC","GEOID":"GSE6259","EXACT_SOURCE":"GSE6259_2695_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in splenic DEC205+ dendritic cells versus CD8 T cells.","DESCRIPTION_FULL":"Dendritic cells (DCs) process and present self and foreign antigens to induce tolerance or immunity. In vitro models suggest that induction of immunity is controlled by regulating the presentation of antigen, but little is known about how DCs control antigen presentation in vivo. To examine antigen processing and presentation in vivo we specifically targeted antigens to the two major subsets of DCs using chimeric monoclonal antibodies. Unlike CD8+ DCs that express the cell surface protein CD205, CD8- DCs, which are positive for the 33D1 antigen, are specialized for presentation on MHC class II. This difference in antigen processing is intrinsic to the DC subsets and associated with increased expression of proteins associated with MHC processing."}
{"STANDARD_NAME":"GSE6259_DEC205_POS_DC_VS_CD8_TCELL_DN","SYSTEMATIC_NAME":"M6776","ORGANISM":"Mus musculus","PMID":"17204652","AUTHORS":"Dudziak D,Kamphorst AO,Heidkamp GF,Buchholz VR,Trumpfheller C,Yamazaki S,Cheong C,Liu K,Lee HW,Park CG,Steinman RM,Nussenzweig MC","GEOID":"GSE6259","EXACT_SOURCE":"GSE6259_2695_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in splenic DEC205+ dendritic cells versus CD8 T cells.","DESCRIPTION_FULL":"Dendritic cells (DCs) process and present self and foreign antigens to induce tolerance or immunity. In vitro models suggest that induction of immunity is controlled by regulating the presentation of antigen, but little is known about how DCs control antigen presentation in vivo. To examine antigen processing and presentation in vivo we specifically targeted antigens to the two major subsets of DCs using chimeric monoclonal antibodies. Unlike CD8+ DCs that express the cell surface protein CD205, CD8- DCs, which are positive for the 33D1 antigen, are specialized for presentation on MHC class II. This difference in antigen processing is intrinsic to the DC subsets and associated with increased expression of proteins associated with MHC processing."}
{"STANDARD_NAME":"GSE6681_DELETED_FOXP3_VS_WT_TREG_UP","SYSTEMATIC_NAME":"M6777","ORGANISM":"Mus musculus","PMID":"17220892","AUTHORS":"Williams LM,Rudensky AY","GEOID":"GSE6681","EXACT_SOURCE":"GSE6681_2641_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in T reg: FOX3P [GeneID=50943] knockout versus wildtype.","DESCRIPTION_FULL":"Analysis of Foxp3 ablated peripheral regulatory T cells. Regulatory T cells require the expression of the transcription factor Foxp3 for thymic development. It is not known whether continuous expression of Foxp3 is required for the maintained function of mature regulatory T cells in the periphery. Results indicate changes to the regulatory T cell developmental program in the absence of Foxp3."}
{"STANDARD_NAME":"GSE6681_DELETED_FOXP3_VS_WT_TREG_DN","SYSTEMATIC_NAME":"M6779","ORGANISM":"Mus musculus","PMID":"17220892","AUTHORS":"Williams LM,Rudensky AY","GEOID":"GSE6681","EXACT_SOURCE":"GSE6681_2641_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in T reg: FOX3P [GeneID=50943] knockout versus wildtype.","DESCRIPTION_FULL":"Analysis of Foxp3 ablated peripheral regulatory T cells. Regulatory T cells require the expression of the transcription factor Foxp3 for thymic development. It is not known whether continuous expression of Foxp3 is required for the maintained function of mature regulatory T cells in the periphery. Results indicate changes to the regulatory T cell developmental program in the absence of Foxp3."}
{"STANDARD_NAME":"GSE3203_WT_VS_IFNAR1_KO_INFLUENZA_INFECTED_LN_BCELL_UP","SYSTEMATIC_NAME":"M6780","ORGANISM":"Mus musculus","PMID":"17237394","AUTHORS":"Chang WL,Coro ES,Rau FC,Xiao Y,Erle DJ,Baumgarth N","GEOID":"GSE3203","EXACT_SOURCE":"GSE3203_2811_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in lymph node B lymphocytes with influenza infection: wildtype versus IFNAR1 [GeneID=2454] knockout.","DESCRIPTION_FULL":"Influenza virus infection-induced gene expression changes of regional B cells are mediated at least in part through type I Interferon: Our objective is to determine whether the influenza virus-infection induced gene expression changes in regional lymph node B cells are facilitated at least in part through type I interferon. Our specific aim is to compare the gene expression profile of highly FACS-purified B cells in the regional lymph nodes of wildtype and IFNR-/- mice prior to and 48h following infection with influenza virus infection and to contrast this expression profile with that of FACS-purified wildtype B cells activated in vitro with IFN-beta +/- anti-CD86 for 12h."}
{"STANDARD_NAME":"GSE3203_INFLUENZA_INF_VS_IFNB_TREATED_LN_BCELL_DN","SYSTEMATIC_NAME":"M6781","ORGANISM":"Mus musculus","PMID":"17237394","AUTHORS":"Chang WL,Coro ES,Rau FC,Xiao Y,Erle DJ,Baumgarth N","GEOID":"GSE3203","EXACT_SOURCE":"GSE3203_2810_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in lymph node B lymphocytes: influenza infected versus interferon beta stimulation.","DESCRIPTION_FULL":"Influenza virus infection-induced gene expression changes of regional B cells are mediated at least in part through type I Interferon: Our objective is to determine whether the influenza virus-infection induced gene expression changes in regional lymph node B cells are facilitated at least in part through type I interferon. Our specific aim is to compare the gene expression profile of highly FACS-purified B cells in the regional lymph nodes of wildtype and IFNR-/- mice prior to and 48h following infection with influenza virus infection and to contrast this expression profile with that of FACS-purified wildtype B cells activated in vitro with IFN-beta +/- anti-CD86 for 12h."}
{"STANDARD_NAME":"GSE3203_HEALTHY_VS_INFLUENZA_INFECTED_LN_BCELL_UP","SYSTEMATIC_NAME":"M6785","ORGANISM":"Mus musculus","PMID":"17237394","AUTHORS":"Chang WL,Coro ES,Rau FC,Xiao Y,Erle DJ,Baumgarth N","GEOID":"GSE3203","EXACT_SOURCE":"GSE3203_2808_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in lymph node B lymphocytes: influenza infection versus un-infected.","DESCRIPTION_FULL":"Influenza virus infection-induced gene expression changes of regional B cells are mediated at least in part through type I Interferon: Our objective is to determine whether the influenza virus-infection induced gene expression changes in regional lymph node B cells are facilitated at least in part through type I interferon. Our specific aim is to compare the gene expression profile of highly FACS-purified B cells in the regional lymph nodes of wildtype and IFNR-/- mice prior to and 48h following infection with influenza virus infection and to contrast this expression profile with that of FACS-purified wildtype B cells activated in vitro with IFN-beta +/- anti-CD86 for 12h."}
{"STANDARD_NAME":"GSE3203_UNTREATED_VS_IFNB_TREATED_LN_BCELL_DN","SYSTEMATIC_NAME":"M6789","ORGANISM":"Mus musculus","PMID":"17237394","AUTHORS":"Chang WL,Coro ES,Rau FC,Xiao Y,Erle DJ,Baumgarth N","GEOID":"GSE3203","EXACT_SOURCE":"GSE3203_2809_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in lymph node B lymphocytes: untreated versus interferon beta.","DESCRIPTION_FULL":"Influenza virus infection-induced gene expression changes of regional B cells are mediated at least in part through type I Interferon: Our objective is to determine whether the influenza virus-infection induced gene expression changes in regional lymph node B cells are facilitated at least in part through type I interferon. Our specific aim is to compare the gene expression profile of highly FACS-purified B cells in the regional lymph nodes of wildtype and IFNR-/- mice prior to and 48h following infection with influenza virus infection and to contrast this expression profile with that of FACS-purified wildtype B cells activated in vitro with IFN-beta +/- anti-CD86 for 12h."}
{"STANDARD_NAME":"GSE3203_INFLUENZA_INF_VS_IFNB_TREATED_LN_BCELL_UP","SYSTEMATIC_NAME":"M6790","ORGANISM":"Mus musculus","PMID":"17237394","AUTHORS":"Chang WL,Coro ES,Rau FC,Xiao Y,Erle DJ,Baumgarth N","GEOID":"GSE3203","EXACT_SOURCE":"GSE3203_2810_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in lymph node B lymphocytes: influenza infected versus interferon beta stimulation.","DESCRIPTION_FULL":"Influenza virus infection-induced gene expression changes of regional B cells are mediated at least in part through type I Interferon: Our objective is to determine whether the influenza virus-infection induced gene expression changes in regional lymph node B cells are facilitated at least in part through type I interferon. Our specific aim is to compare the gene expression profile of highly FACS-purified B cells in the regional lymph nodes of wildtype and IFNR-/- mice prior to and 48h following infection with influenza virus infection and to contrast this expression profile with that of FACS-purified wildtype B cells activated in vitro with IFN-beta +/- anti-CD86 for 12h."}
{"STANDARD_NAME":"GSE3203_HEALTHY_VS_INFLUENZA_INFECTED_LN_BCELL_DN","SYSTEMATIC_NAME":"M6791","ORGANISM":"Mus musculus","PMID":"17237394","AUTHORS":"Chang WL,Coro ES,Rau FC,Xiao Y,Erle DJ,Baumgarth N","GEOID":"GSE3203","EXACT_SOURCE":"GSE3203_2808_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in lymph node B lymphocytes: influenza infection versus un-infected.","DESCRIPTION_FULL":"Influenza virus infection-induced gene expression changes of regional B cells are mediated at least in part through type I Interferon: Our objective is to determine whether the influenza virus-infection induced gene expression changes in regional lymph node B cells are facilitated at least in part through type I interferon. Our specific aim is to compare the gene expression profile of highly FACS-purified B cells in the regional lymph nodes of wildtype and IFNR-/- mice prior to and 48h following infection with influenza virus infection and to contrast this expression profile with that of FACS-purified wildtype B cells activated in vitro with IFN-beta +/- anti-CD86 for 12h."}
{"STANDARD_NAME":"GSE3203_UNTREATED_VS_IFNB_TREATED_LN_BCELL_UP","SYSTEMATIC_NAME":"M6795","ORGANISM":"Mus musculus","PMID":"17237394","AUTHORS":"Chang WL,Coro ES,Rau FC,Xiao Y,Erle DJ,Baumgarth N","GEOID":"GSE3203","EXACT_SOURCE":"GSE3203_2809_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in lymph node B lymphocytes: untreated versus interferon beta.","DESCRIPTION_FULL":"Influenza virus infection-induced gene expression changes of regional B cells are mediated at least in part through type I Interferon: Our objective is to determine whether the influenza virus-infection induced gene expression changes in regional lymph node B cells are facilitated at least in part through type I interferon. Our specific aim is to compare the gene expression profile of highly FACS-purified B cells in the regional lymph nodes of wildtype and IFNR-/- mice prior to and 48h following infection with influenza virus infection and to contrast this expression profile with that of FACS-purified wildtype B cells activated in vitro with IFN-beta +/- anti-CD86 for 12h."}
{"STANDARD_NAME":"GSE3203_WT_VS_IFNAR1_KO_INFLUENZA_INFECTED_LN_BCELL_DN","SYSTEMATIC_NAME":"M6798","ORGANISM":"Mus musculus","PMID":"17237394","AUTHORS":"Chang WL,Coro ES,Rau FC,Xiao Y,Erle DJ,Baumgarth N","GEOID":"GSE3203","EXACT_SOURCE":"GSE3203_2811_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in lymph node B lymphocytes with influenza infection: wildtype versus IFNAR1 [GeneID=2454] knockout.","DESCRIPTION_FULL":"Influenza virus infection-induced gene expression changes of regional B cells are mediated at least in part through type I Interferon: Our objective is to determine whether the influenza virus-infection induced gene expression changes in regional lymph node B cells are facilitated at least in part through type I interferon. Our specific aim is to compare the gene expression profile of highly FACS-purified B cells in the regional lymph nodes of wildtype and IFNR-/- mice prior to and 48h following infection with influenza virus infection and to contrast this expression profile with that of FACS-purified wildtype B cells activated in vitro with IFN-beta +/- anti-CD86 for 12h."}
{"STANDARD_NAME":"GSE6875_TCONV_VS_TREG_UP","SYSTEMATIC_NAME":"M6799","ORGANISM":"Mus musculus","PMID":"17273171","AUTHORS":"Lin W,Haribhai D,Relland LM,Truong N,Carlson MR,Williams CB,Chatila TA","GEOID":"GSE6875","EXACT_SOURCE":"GSE6875_2937_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in T conv versus T reg.","DESCRIPTION_FULL":"To analyze gene expression in in regulatory T cell precursors that develop in the absence of a functional Foxp3 protein as compared to that of normal regulatory T cells"}
{"STANDARD_NAME":"GSE6875_TCONV_VS_TREG_DN","SYSTEMATIC_NAME":"M6800","ORGANISM":"Mus musculus","PMID":"17273171","AUTHORS":"Lin W,Haribhai D,Relland LM,Truong N,Carlson MR,Williams CB,Chatila TA","GEOID":"GSE6875","EXACT_SOURCE":"GSE6875_2937_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in T conv versus T reg.","DESCRIPTION_FULL":"To analyze gene expression in in regulatory T cell precursors that develop in the absence of a functional Foxp3 protein as compared to that of normal regulatory T cells"}
{"STANDARD_NAME":"GSE6875_TCONV_VS_FOXP3_KO_TREG_UP","SYSTEMATIC_NAME":"M6801","ORGANISM":"Mus musculus","PMID":"17273171","AUTHORS":"Lin W,Haribhai D,Relland LM,Truong N,Carlson MR,Williams CB,Chatila TA","GEOID":"GSE6875","EXACT_SOURCE":"GSE6875_2938_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in T conv versus T reg FOXP3 [GeneID=50943] knockout.","DESCRIPTION_FULL":"To analyze gene expression in in regulatory T cell precursors that develop in the absence of a functional Foxp3 protein as compared to that of normal regulatory T cells"}
{"STANDARD_NAME":"GSE6875_TCONV_VS_FOXP3_KO_TREG_DN","SYSTEMATIC_NAME":"M6802","ORGANISM":"Mus musculus","PMID":"17273171","AUTHORS":"Lin W,Haribhai D,Relland LM,Truong N,Carlson MR,Williams CB,Chatila TA","GEOID":"GSE6875","EXACT_SOURCE":"GSE6875_2938_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in T conv versus T reg FOXP3 [GeneID=50943] knockout.","DESCRIPTION_FULL":"To analyze gene expression in in regulatory T cell precursors that develop in the absence of a functional Foxp3 protein as compared to that of normal regulatory T cells"}
{"STANDARD_NAME":"GSE6875_WT_VS_FOXP3_KO_TREG_UP","SYSTEMATIC_NAME":"M6803","ORGANISM":"Mus musculus","PMID":"17273171","AUTHORS":"Lin W,Haribhai D,Relland LM,Truong N,Carlson MR,Williams CB,Chatila TA","GEOID":"GSE6875","EXACT_SOURCE":"GSE6875_2939_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in T reg: wildtype versus FOXP3 [GeneID=50943] knockout.","DESCRIPTION_FULL":"To analyze gene expression in in regulatory T cell precursors that develop in the absence of a functional Foxp3 protein as compared to that of normal regulatory T cells"}
{"STANDARD_NAME":"GSE6875_WT_VS_FOXP3_KO_TREG_DN","SYSTEMATIC_NAME":"M6804","ORGANISM":"Mus musculus","PMID":"17273171","AUTHORS":"Lin W,Haribhai D,Relland LM,Truong N,Carlson MR,Williams CB,Chatila TA","GEOID":"GSE6875","EXACT_SOURCE":"GSE6875_2939_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in T reg: wildtype versus FOXP3 [GeneID=50943] knockout.","DESCRIPTION_FULL":"To analyze gene expression in in regulatory T cell precursors that develop in the absence of a functional Foxp3 protein as compared to that of normal regulatory T cells"}
{"STANDARD_NAME":"GSE7218_UNSTIM_VS_ANTIGEN_STIM_THROUGH_IGM_BCELL_UP","SYSTEMATIC_NAME":"M6805","ORGANISM":"Mus musculus","PMID":"17420266","AUTHORS":"Horikawa K,Martin SW,Pogue SL,Silver K,Peng K,Takatsu K,Goodnow CC","GEOID":"GSE7218","EXACT_SOURCE":"GSE7218_3556_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in B lymphocytes expressing IgM - BCR [GeneID=613]: untreated versus anti-HEL.","DESCRIPTION_FULL":"IgG cytoplasmic tail interferes with the induction of antigen-response genes"}
{"STANDARD_NAME":"GSE7218_UNSTIM_VS_ANTIGEN_STIM_THROUGH_IGM_BCELL_DN","SYSTEMATIC_NAME":"M6806","ORGANISM":"Mus musculus","PMID":"17420266","AUTHORS":"Horikawa K,Martin SW,Pogue SL,Silver K,Peng K,Takatsu K,Goodnow CC","GEOID":"GSE7218","EXACT_SOURCE":"GSE7218_3556_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in B lymphocytes expressing IgM - BCR [GeneID=613]: untreated versus anti-HEL.","DESCRIPTION_FULL":"IgG cytoplasmic tail interferes with the induction of antigen-response genes"}
{"STANDARD_NAME":"GSE7218_IGM_VS_IGG_SIGNAL_THGOUGH_ANTIGEN_BCELL_UP","SYSTEMATIC_NAME":"M6807","ORGANISM":"Mus musculus","PMID":"17420266","AUTHORS":"Horikawa K,Martin SW,Pogue SL,Silver K,Peng K,Takatsu K,Goodnow CC","GEOID":"GSE7218","EXACT_SOURCE":"GSE7218_3560_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in B lymphocytes treated by anti-HEL and expressing BCR [GeneID=613] fusions with: IgM versus IgMG.","DESCRIPTION_FULL":"IgG cytoplasmic tail interferes with the induction of antigen-response genes"}
{"STANDARD_NAME":"GSE7218_IGM_VS_IGG_SIGNAL_THGOUGH_ANTIGEN_BCELL_DN","SYSTEMATIC_NAME":"M6808","ORGANISM":"Mus musculus","PMID":"17420266","AUTHORS":"Horikawa K,Martin SW,Pogue SL,Silver K,Peng K,Takatsu K,Goodnow CC","GEOID":"GSE7218","EXACT_SOURCE":"GSE7218_3560_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in B lymphocytes treated by anti-HEL and expressing BCR [GeneID=613] fusions with: IgM versus IgMG.","DESCRIPTION_FULL":"IgG cytoplasmic tail interferes with the induction of antigen-response genes"}
{"STANDARD_NAME":"GSE7218_UNSTIM_VS_ANTIGEN_STIM_THROUGH_IGG_BCELL_UP","SYSTEMATIC_NAME":"M6809","ORGANISM":"Mus musculus","PMID":"17420266","AUTHORS":"Horikawa K,Martin SW,Pogue SL,Silver K,Peng K,Takatsu K,Goodnow CC","GEOID":"GSE7218","EXACT_SOURCE":"GSE7218_3561_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in B lymphocytes: expressing IgM BCR [GeneID=613] fusion and untreated versus expressing IgMG BCR [GeneID=613] fusion and treated by anti-HEL.","DESCRIPTION_FULL":"IgG cytoplasmic tail interferes with the induction of antigen-response genes"}
{"STANDARD_NAME":"GSE7218_UNSTIM_VS_ANTIGEN_STIM_THROUGH_IGG_BCELL_DN","SYSTEMATIC_NAME":"M6810","ORGANISM":"Mus musculus","PMID":"17420266","AUTHORS":"Horikawa K,Martin SW,Pogue SL,Silver K,Peng K,Takatsu K,Goodnow CC","GEOID":"GSE7218","EXACT_SOURCE":"GSE7218_3561_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in B lymphocytes: expressing IgM BCR [GeneID=613] fusion and untreated versus expressing IgMG BCR [GeneID=613] fusion and treated by anti-HEL.","DESCRIPTION_FULL":"IgG cytoplasmic tail interferes with the induction of antigen-response genes"}
{"STANDARD_NAME":"GSE6090_UNSTIM_VS_DC_SIGN_STIM_DC_UP","SYSTEMATIC_NAME":"M6811","ORGANISM":"Homo sapiens","PMID":"17496896","AUTHORS":"Hodges A,Sharrocks K,Edelmann M,Baban D,Moris A,Schwartz O,Drakesmith H,Davies K,Kessler B,McMichael A,Simmons A","GEOID":"GSE6090","EXACT_SOURCE":"GSE6090_2631_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in dendritic cells: control versus stimulated with anti-CD209 [GeneID=30835] antibody.","DESCRIPTION_FULL":"DC-SIGN is a C-type lectin expressed by dendritic cells (DCs) that binds HIV-1, sequestering it within multivesicular bodies to facilitate transmission to CD4+ T cells. Here we characterize the molecular basis of signalling through DC-SIGN by large-scale gene expression profiling and phosphoproteome analysis. Solitary DC-SIGN activation leads to a phenotypically disparate transcriptional program from Toll-like receptor (TLR) triggering with downregulation of MHC II, CD86, and interferon response genes and with induction of the TLR negative regulator ATF3. Phosphoproteome analysis reveals DC-SIGN signals through the leukemia-associated Rho guanine nucleotide exchange factor (LARG) to induce Rho activity. This LARG activation also occurs on DC HIV exposure and is required for effective HIV viral synapse formation. Taken together HIV mediated DC-SIGN signalling provides a mechanism by which HIV evades the immune response yet induces viral spread."}
{"STANDARD_NAME":"GSE6090_UNSTIM_VS_DC_SIGN_STIM_DC_DN","SYSTEMATIC_NAME":"M6812","ORGANISM":"Homo sapiens","PMID":"17496896","AUTHORS":"Hodges A,Sharrocks K,Edelmann M,Baban D,Moris A,Schwartz O,Drakesmith H,Davies K,Kessler B,McMichael A,Simmons A","GEOID":"GSE6090","EXACT_SOURCE":"GSE6090_2631_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in dendritic cells: control versus stimulated with anti-CD209 [GeneID=30835] antibody.","DESCRIPTION_FULL":"DC-SIGN is a C-type lectin expressed by dendritic cells (DCs) that binds HIV-1, sequestering it within multivesicular bodies to facilitate transmission to CD4+ T cells. Here we characterize the molecular basis of signalling through DC-SIGN by large-scale gene expression profiling and phosphoproteome analysis. Solitary DC-SIGN activation leads to a phenotypically disparate transcriptional program from Toll-like receptor (TLR) triggering with downregulation of MHC II, CD86, and interferon response genes and with induction of the TLR negative regulator ATF3. Phosphoproteome analysis reveals DC-SIGN signals through the leukemia-associated Rho guanine nucleotide exchange factor (LARG) to induce Rho activity. This LARG activation also occurs on DC HIV exposure and is required for effective HIV viral synapse formation. Taken together HIV mediated DC-SIGN signalling provides a mechanism by which HIV evades the immune response yet induces viral spread."}
{"STANDARD_NAME":"GSE7509_UNSTIM_VS_IFNA_STIM_IMMATURE_DC_UP","SYSTEMATIC_NAME":"M6814","ORGANISM":"Homo sapiens","PMID":"17502666","AUTHORS":"Dhodapkar KM,Banerjee D,Connolly J,Kukreja A,Matayeva E,Veri MC,Ravetch JV,Steinman RM,Dhodapkar MV","GEOID":"GSE7509","EXACT_SOURCE":"GSE7509_3402_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in immature dendritic cells: untreated versus interferon alpha.","DESCRIPTION_FULL":"The ability of dendritic cells (DCs) to activate immunity is linked to their maturation status. In prior studies we have shown that selective antibody-mediated blockade of inhibitory FcgRIIB receptor on human DCs in the presence of activating immunoglobulin (Ig) ligands leads to DC maturation and enhanced immunity to antibody-coated tumor cells. Here we show that Fcg receptor (FcgR) mediated activation of human monocytes and monocyte-derived DCs is associated with a distinct gene expression pattern, including several inflammation associated chemokines as well as type 1 interferon (IFN) response genes including the activation of signal transducer and activator of transcription 1 (STAT1)."}
{"STANDARD_NAME":"GSE7509_UNSTIM_VS_IFNA_STIM_IMMATURE_DC_DN","SYSTEMATIC_NAME":"M6816","ORGANISM":"Homo sapiens","PMID":"17502666","AUTHORS":"Dhodapkar KM,Banerjee D,Connolly J,Kukreja A,Matayeva E,Veri MC,Ravetch JV,Steinman RM,Dhodapkar MV","GEOID":"GSE7509","EXACT_SOURCE":"GSE7509_3402_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in immature dendritic cells: untreated versus interferon alpha.","DESCRIPTION_FULL":"The ability of dendritic cells (DCs) to activate immunity is linked to their maturation status. In prior studies we have shown that selective antibody-mediated blockade of inhibitory FcgRIIB receptor on human DCs in the presence of activating immunoglobulin (Ig) ligands leads to DC maturation and enhanced immunity to antibody-coated tumor cells. Here we show that Fcg receptor (FcgR) mediated activation of human monocytes and monocyte-derived DCs is associated with a distinct gene expression pattern, including several inflammation associated chemokines as well as type 1 interferon (IFN) response genes including the activation of signal transducer and activator of transcription 1 (STAT1)."}
{"STANDARD_NAME":"GSE7509_UNSTIM_VS_FCGRIIB_STIM_DC_UP","SYSTEMATIC_NAME":"M6817","ORGANISM":"Homo sapiens","PMID":"17502666","AUTHORS":"Dhodapkar KM,Banerjee D,Connolly J,Kukreja A,Matayeva E,Veri MC,Ravetch JV,Steinman RM,Dhodapkar MV","GEOID":"GSE7509","EXACT_SOURCE":"GSE7509_3403_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in dendritic cells: untreated versus anti-FcgRIIB.","DESCRIPTION_FULL":"The ability of dendritic cells (DCs) to activate immunity is linked to their maturation status. In prior studies we have shown that selective antibody-mediated blockade of inhibitory FcgRIIB receptor on human DCs in the presence of activating immunoglobulin (Ig) ligands leads to DC maturation and enhanced immunity to antibody-coated tumor cells. Here we show that Fcg receptor (FcgR) mediated activation of human monocytes and monocyte-derived DCs is associated with a distinct gene expression pattern, including several inflammation associated chemokines as well as type 1 interferon (IFN) response genes including the activation of signal transducer and activator of transcription 1 (STAT1)."}
{"STANDARD_NAME":"GSE7509_UNSTIM_VS_FCGRIIB_STIM_DC_DN","SYSTEMATIC_NAME":"M6818","ORGANISM":"Homo sapiens","PMID":"17502666","AUTHORS":"Dhodapkar KM,Banerjee D,Connolly J,Kukreja A,Matayeva E,Veri MC,Ravetch JV,Steinman RM,Dhodapkar MV","GEOID":"GSE7509","EXACT_SOURCE":"GSE7509_3403_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in dendritic cells: untreated versus anti-FcgRIIB.","DESCRIPTION_FULL":"The ability of dendritic cells (DCs) to activate immunity is linked to their maturation status. In prior studies we have shown that selective antibody-mediated blockade of inhibitory FcgRIIB receptor on human DCs in the presence of activating immunoglobulin (Ig) ligands leads to DC maturation and enhanced immunity to antibody-coated tumor cells. Here we show that Fcg receptor (FcgR) mediated activation of human monocytes and monocyte-derived DCs is associated with a distinct gene expression pattern, including several inflammation associated chemokines as well as type 1 interferon (IFN) response genes including the activation of signal transducer and activator of transcription 1 (STAT1)."}
{"STANDARD_NAME":"GSE7509_UNSTIM_VS_TNFA_IL1B_IL6_PGE_STIM_DC_UP","SYSTEMATIC_NAME":"M6819","ORGANISM":"Homo sapiens","PMID":"17502666","AUTHORS":"Dhodapkar KM,Banerjee D,Connolly J,Kukreja A,Matayeva E,Veri MC,Ravetch JV,Steinman RM,Dhodapkar MV","GEOID":"GSE7509","EXACT_SOURCE":"GSE7509_3404_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in dendritic cells: untreated versus inflammatory cytokine cocktail.","DESCRIPTION_FULL":"The ability of dendritic cells (DCs) to activate immunity is linked to their maturation status. In prior studies we have shown that selective antibody-mediated blockade of inhibitory FcgRIIB receptor on human DCs in the presence of activating immunoglobulin (Ig) ligands leads to DC maturation and enhanced immunity to antibody-coated tumor cells. Here we show that Fcg receptor (FcgR) mediated activation of human monocytes and monocyte-derived DCs is associated with a distinct gene expression pattern, including several inflammation associated chemokines as well as type 1 interferon (IFN) response genes including the activation of signal transducer and activator of transcription 1 (STAT1)."}
{"STANDARD_NAME":"GSE7509_UNSTIM_VS_TNFA_IL1B_IL6_PGE_STIM_DC_DN","SYSTEMATIC_NAME":"M6820","ORGANISM":"Homo sapiens","PMID":"17502666","AUTHORS":"Dhodapkar KM,Banerjee D,Connolly J,Kukreja A,Matayeva E,Veri MC,Ravetch JV,Steinman RM,Dhodapkar MV","GEOID":"GSE7509","EXACT_SOURCE":"GSE7509_3404_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in dendritic cells: untreated versus inflammatory cytokine cocktail.","DESCRIPTION_FULL":"The ability of dendritic cells (DCs) to activate immunity is linked to their maturation status. In prior studies we have shown that selective antibody-mediated blockade of inhibitory FcgRIIB receptor on human DCs in the presence of activating immunoglobulin (Ig) ligands leads to DC maturation and enhanced immunity to antibody-coated tumor cells. Here we show that Fcg receptor (FcgR) mediated activation of human monocytes and monocyte-derived DCs is associated with a distinct gene expression pattern, including several inflammation associated chemokines as well as type 1 interferon (IFN) response genes including the activation of signal transducer and activator of transcription 1 (STAT1)."}
{"STANDARD_NAME":"GSE7509_FCGRIIB_VS_TNFA_IL1B_IL6_PGE_STIM_DC_UP","SYSTEMATIC_NAME":"M6823","ORGANISM":"Homo sapiens","PMID":"17502666","AUTHORS":"Dhodapkar KM,Banerjee D,Connolly J,Kukreja A,Matayeva E,Veri MC,Ravetch JV,Steinman RM,Dhodapkar MV","GEOID":"GSE7509","EXACT_SOURCE":"GSE7509_3405_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in dendritic cells: anti-FcgRIIB versus inflammatory cytokine cocktail.","DESCRIPTION_FULL":"The ability of dendritic cells (DCs) to activate immunity is linked to their maturation status. In prior studies we have shown that selective antibody-mediated blockade of inhibitory FcgRIIB receptor on human DCs in the presence of activating immunoglobulin (Ig) ligands leads to DC maturation and enhanced immunity to antibody-coated tumor cells. Here we show that Fcg receptor (FcgR) mediated activation of human monocytes and monocyte-derived DCs is associated with a distinct gene expression pattern, including several inflammation associated chemokines as well as type 1 interferon (IFN) response genes including the activation of signal transducer and activator of transcription 1 (STAT1)."}
{"STANDARD_NAME":"GSE7509_FCGRIIB_VS_TNFA_IL1B_IL6_PGE_STIM_DC_DN","SYSTEMATIC_NAME":"M6824","ORGANISM":"Homo sapiens","PMID":"17502666","AUTHORS":"Dhodapkar KM,Banerjee D,Connolly J,Kukreja A,Matayeva E,Veri MC,Ravetch JV,Steinman RM,Dhodapkar MV","GEOID":"GSE7509","EXACT_SOURCE":"GSE7509_3405_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in dendritic cells: anti-FcgRIIB versus inflammatory cytokine cocktail.","DESCRIPTION_FULL":"The ability of dendritic cells (DCs) to activate immunity is linked to their maturation status. In prior studies we have shown that selective antibody-mediated blockade of inhibitory FcgRIIB receptor on human DCs in the presence of activating immunoglobulin (Ig) ligands leads to DC maturation and enhanced immunity to antibody-coated tumor cells. Here we show that Fcg receptor (FcgR) mediated activation of human monocytes and monocyte-derived DCs is associated with a distinct gene expression pattern, including several inflammation associated chemokines as well as type 1 interferon (IFN) response genes including the activation of signal transducer and activator of transcription 1 (STAT1)."}
{"STANDARD_NAME":"GSE7509_UNSTIM_VS_FCGRIIB_STIM_MONOCYTE_UP","SYSTEMATIC_NAME":"M6825","ORGANISM":"Homo sapiens","PMID":"17502666","AUTHORS":"Dhodapkar KM,Banerjee D,Connolly J,Kukreja A,Matayeva E,Veri MC,Ravetch JV,Steinman RM,Dhodapkar MV","GEOID":"GSE7509","EXACT_SOURCE":"GSE7509_3406_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in monocytes: untreated versus anti- FcgRIIB.","DESCRIPTION_FULL":"The ability of dendritic cells (DCs) to activate immunity is linked to their maturation status. In prior studies we have shown that selective antibody-mediated blockade of inhibitory FcgRIIB receptor on human DCs in the presence of activating immunoglobulin (Ig) ligands leads to DC maturation and enhanced immunity to antibody-coated tumor cells. Here we show that Fcg receptor (FcgR) mediated activation of human monocytes and monocyte-derived DCs is associated with a distinct gene expression pattern, including several inflammation associated chemokines as well as type 1 interferon (IFN) response genes including the activation of signal transducer and activator of transcription 1 (STAT1)."}
{"STANDARD_NAME":"GSE7509_UNSTIM_VS_FCGRIIB_STIM_MONOCYTE_DN","SYSTEMATIC_NAME":"M6826","ORGANISM":"Homo sapiens","PMID":"17502666","AUTHORS":"Dhodapkar KM,Banerjee D,Connolly J,Kukreja A,Matayeva E,Veri MC,Ravetch JV,Steinman RM,Dhodapkar MV","GEOID":"GSE7509","EXACT_SOURCE":"GSE7509_3406_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in monocytes: untreated versus anti- FcgRIIB.","DESCRIPTION_FULL":"The ability of dendritic cells (DCs) to activate immunity is linked to their maturation status. In prior studies we have shown that selective antibody-mediated blockade of inhibitory FcgRIIB receptor on human DCs in the presence of activating immunoglobulin (Ig) ligands leads to DC maturation and enhanced immunity to antibody-coated tumor cells. Here we show that Fcg receptor (FcgR) mediated activation of human monocytes and monocyte-derived DCs is associated with a distinct gene expression pattern, including several inflammation associated chemokines as well as type 1 interferon (IFN) response genes including the activation of signal transducer and activator of transcription 1 (STAT1)."}
{"STANDARD_NAME":"GSE7509_DC_VS_MONOCYTE_UP","SYSTEMATIC_NAME":"M6827","ORGANISM":"Homo sapiens","PMID":"17502666","AUTHORS":"Dhodapkar KM,Banerjee D,Connolly J,Kukreja A,Matayeva E,Veri MC,Ravetch JV,Steinman RM,Dhodapkar MV","GEOID":"GSE7509","EXACT_SOURCE":"GSE7509_3407_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in dendritic cells versus monocytes.","DESCRIPTION_FULL":"The ability of dendritic cells (DCs) to activate immunity is linked to their maturation status. In prior studies we have shown that selective antibody-mediated blockade of inhibitory FcgRIIB receptor on human DCs in the presence of activating immunoglobulin (Ig) ligands leads to DC maturation and enhanced immunity to antibody-coated tumor cells. Here we show that Fcg receptor (FcgR) mediated activation of human monocytes and monocyte-derived DCs is associated with a distinct gene expression pattern, including several inflammation associated chemokines as well as type 1 interferon (IFN) response genes including the activation of signal transducer and activator of transcription 1 (STAT1)."}
{"STANDARD_NAME":"GSE7509_DC_VS_MONOCYTE_DN","SYSTEMATIC_NAME":"M6829","ORGANISM":"Homo sapiens","PMID":"17502666","AUTHORS":"Dhodapkar KM,Banerjee D,Connolly J,Kukreja A,Matayeva E,Veri MC,Ravetch JV,Steinman RM,Dhodapkar MV","GEOID":"GSE7509","EXACT_SOURCE":"GSE7509_3407_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in dendritic cells versus monocytes.","DESCRIPTION_FULL":"The ability of dendritic cells (DCs) to activate immunity is linked to their maturation status. In prior studies we have shown that selective antibody-mediated blockade of inhibitory FcgRIIB receptor on human DCs in the presence of activating immunoglobulin (Ig) ligands leads to DC maturation and enhanced immunity to antibody-coated tumor cells. Here we show that Fcg receptor (FcgR) mediated activation of human monocytes and monocyte-derived DCs is associated with a distinct gene expression pattern, including several inflammation associated chemokines as well as type 1 interferon (IFN) response genes including the activation of signal transducer and activator of transcription 1 (STAT1)."}
{"STANDARD_NAME":"GSE7509_DC_VS_MONOCYTE_WITH_FCGRIIB_STIM_UP","SYSTEMATIC_NAME":"M6832","ORGANISM":"Homo sapiens","PMID":"17502666","AUTHORS":"Dhodapkar KM,Banerjee D,Connolly J,Kukreja A,Matayeva E,Veri MC,Ravetch JV,Steinman RM,Dhodapkar MV","GEOID":"GSE7509","EXACT_SOURCE":"GSE7509_3408_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in response to anti-FcgRIIB: dendritic cells versus monocytes.","DESCRIPTION_FULL":"The ability of dendritic cells (DCs) to activate immunity is linked to their maturation status. In prior studies we have shown that selective antibody-mediated blockade of inhibitory FcgRIIB receptor on human DCs in the presence of activating immunoglobulin (Ig) ligands leads to DC maturation and enhanced immunity to antibody-coated tumor cells. Here we show that Fcg receptor (FcgR) mediated activation of human monocytes and monocyte-derived DCs is associated with a distinct gene expression pattern, including several inflammation associated chemokines as well as type 1 interferon (IFN) response genes including the activation of signal transducer and activator of transcription 1 (STAT1)."}
{"STANDARD_NAME":"GSE7509_DC_VS_MONOCYTE_WITH_FCGRIIB_STIM_DN","SYSTEMATIC_NAME":"M6835","ORGANISM":"Homo sapiens","PMID":"17502666","AUTHORS":"Dhodapkar KM,Banerjee D,Connolly J,Kukreja A,Matayeva E,Veri MC,Ravetch JV,Steinman RM,Dhodapkar MV","GEOID":"GSE7509","EXACT_SOURCE":"GSE7509_3408_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in response to anti-FcgRIIB: dendritic cells versus monocytes.","DESCRIPTION_FULL":"The ability of dendritic cells (DCs) to activate immunity is linked to their maturation status. In prior studies we have shown that selective antibody-mediated blockade of inhibitory FcgRIIB receptor on human DCs in the presence of activating immunoglobulin (Ig) ligands leads to DC maturation and enhanced immunity to antibody-coated tumor cells. Here we show that Fcg receptor (FcgR) mediated activation of human monocytes and monocyte-derived DCs is associated with a distinct gene expression pattern, including several inflammation associated chemokines as well as type 1 interferon (IFN) response genes including the activation of signal transducer and activator of transcription 1 (STAT1)."}
{"STANDARD_NAME":"GSE7548_NAIVE_VS_DAY7_PCC_IMMUNIZATION_CD4_TCELL_UP","SYSTEMATIC_NAME":"M6836","ORGANISM":"Mus musculus","PMID":"17529982","AUTHORS":"Fazilleau N,Eisenbraun MD,Malherbe L,Ebright JN,Pogue-Caley RR,McHeyzer-Williams LJ,McHeyzer-Williams MG","GEOID":"GSE7548","EXACT_SOURCE":"GSE7548_2702_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells from lymph nodes: naïve versus day 7 after immunization.","DESCRIPTION_FULL":"Mice were immunized with PCC (pigeon cytochrome c)."}
{"STANDARD_NAME":"GSE7548_NAIVE_VS_DAY7_PCC_IMMUNIZATION_CD4_TCELL_DN","SYSTEMATIC_NAME":"M6837","ORGANISM":"Mus musculus","PMID":"17529982","AUTHORS":"Fazilleau N,Eisenbraun MD,Malherbe L,Ebright JN,Pogue-Caley RR,McHeyzer-Williams LJ,McHeyzer-Williams MG","GEOID":"GSE7548","EXACT_SOURCE":"GSE7548_2702_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells from lymph nodes: naïve versus day 7 after immunization.","DESCRIPTION_FULL":"Mice were immunized with PCC (pigeon cytochrome c)."}
{"STANDARD_NAME":"GSE7548_NAIVE_VS_DAY28_PCC_IMMUNIZATION_CD4_TCELL_UP","SYSTEMATIC_NAME":"M6839","ORGANISM":"Mus musculus","PMID":"17529982","AUTHORS":"Fazilleau N,Eisenbraun MD,Malherbe L,Ebright JN,Pogue-Caley RR,McHeyzer-Williams LJ,McHeyzer-Williams MG","GEOID":"GSE7548","EXACT_SOURCE":"GSE7548_2703_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells from lymph nodes: naïve versus day 28 after immunization.","DESCRIPTION_FULL":"Mice were immunized with PCC (pigeon cytochrome c)."}
{"STANDARD_NAME":"GSE7548_NAIVE_VS_DAY28_PCC_IMMUNIZATION_CD4_TCELL_DN","SYSTEMATIC_NAME":"M6841","ORGANISM":"Mus musculus","PMID":"17529982","AUTHORS":"Fazilleau N,Eisenbraun MD,Malherbe L,Ebright JN,Pogue-Caley RR,McHeyzer-Williams LJ,McHeyzer-Williams MG","GEOID":"GSE7548","EXACT_SOURCE":"GSE7548_2703_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells from lymph nodes: naïve versus day 28 after immunization.","DESCRIPTION_FULL":"Mice were immunized with PCC (pigeon cytochrome c)."}
{"STANDARD_NAME":"GSE7548_DAY7_VS_DAY28_PCC_IMMUNIZATION_CD4_TCELL_UP","SYSTEMATIC_NAME":"M6842","ORGANISM":"Mus musculus","PMID":"17529982","AUTHORS":"Fazilleau N,Eisenbraun MD,Malherbe L,Ebright JN,Pogue-Caley RR,McHeyzer-Williams LJ,McHeyzer-Williams MG","GEOID":"GSE7548","EXACT_SOURCE":"GSE7548_2704_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells from lymph nodes: naïve versus day 28 after immunization.","DESCRIPTION_FULL":"Mice were immunized with PCC (pigeon cytochrome c)."}
{"STANDARD_NAME":"GSE7548_DAY7_VS_DAY28_PCC_IMMUNIZATION_CD4_TCELL_DN","SYSTEMATIC_NAME":"M6843","ORGANISM":"Mus musculus","PMID":"17529982","AUTHORS":"Fazilleau N,Eisenbraun MD,Malherbe L,Ebright JN,Pogue-Caley RR,McHeyzer-Williams LJ,McHeyzer-Williams MG","GEOID":"GSE7548","EXACT_SOURCE":"GSE7548_2704_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells from lymph nodes: naïve versus day 28 after immunization.","DESCRIPTION_FULL":"Mice were immunized with PCC (pigeon cytochrome c)."}
{"STANDARD_NAME":"GSE7348_UNSTIM_VS_LPS_STIM_MACROPHAGE_UP","SYSTEMATIC_NAME":"M6844","ORGANISM":"Mus musculus","PMID":"17538624","AUTHORS":"Foster SL,Hargreaves DC,Medzhitov R","GEOID":"GSE7348","EXACT_SOURCE":"GSE7348_3131_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages: untreated versus LPS.","DESCRIPTION_FULL":"The inflammatory response initiated by microbial products signaling through Toll-like receptors (TLRs) of the innate immune system is essential for host defense against infection. Because inflammation can be harmful to host tissues, the innate response is highly regulated. Negative regulation of TLR4, the receptor for bacterial lipopolysaccharide (LPS), results in LPS tolerance, defined as hyporesponsiveness to repeated stimulation with LPS. LPS tolerance is thought to protect the host from excessive inflammation by turning off TLR4 signal, which then shuts down TLR-induced genes. However, TLR signaling induces hundreds of genes with very different functions. We reasoned that genes with different functions should have different requirements for regulation. Specifically, genes encoding proinflammatory mediators should be transiently inactivated to limit tissue damage, while genes encoding antimicrobial effectors, which directly target pathogens, should remain inducible in tolerant cells to protect the host from infection. Using an in vitro system of LPS tolerance in macrophages, here we show that TLR-induced genes may indeed be divided into two distinct categories based on their functions and regulatory requirements. Further, we show these distinct groups are regulated by gene-specific, and not signal-specific mechanisms."}
{"STANDARD_NAME":"GSE7348_UNSTIM_VS_LPS_STIM_MACROPHAGE_DN","SYSTEMATIC_NAME":"M6846","ORGANISM":"Mus musculus","PMID":"17538624","AUTHORS":"Foster SL,Hargreaves DC,Medzhitov R","GEOID":"GSE7348","EXACT_SOURCE":"GSE7348_3131_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages: untreated versus LPS.","DESCRIPTION_FULL":"The inflammatory response initiated by microbial products signaling through Toll-like receptors (TLRs) of the innate immune system is essential for host defense against infection. Because inflammation can be harmful to host tissues, the innate response is highly regulated. Negative regulation of TLR4, the receptor for bacterial lipopolysaccharide (LPS), results in LPS tolerance, defined as hyporesponsiveness to repeated stimulation with LPS. LPS tolerance is thought to protect the host from excessive inflammation by turning off TLR4 signal, which then shuts down TLR-induced genes. However, TLR signaling induces hundreds of genes with very different functions. We reasoned that genes with different functions should have different requirements for regulation. Specifically, genes encoding proinflammatory mediators should be transiently inactivated to limit tissue damage, while genes encoding antimicrobial effectors, which directly target pathogens, should remain inducible in tolerant cells to protect the host from infection. Using an in vitro system of LPS tolerance in macrophages, here we show that TLR-induced genes may indeed be divided into two distinct categories based on their functions and regulatory requirements. Further, we show these distinct groups are regulated by gene-specific, and not signal-specific mechanisms."}
{"STANDARD_NAME":"GSE7348_UNSTIM_VS_TOLERIZED_AND_LPS_STIM_MACROPHAGE_UP","SYSTEMATIC_NAME":"M6847","ORGANISM":"Mus musculus","PMID":"17538624","AUTHORS":"Foster SL,Hargreaves DC,Medzhitov R","GEOID":"GSE7348","EXACT_SOURCE":"GSE7348_3132_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages: naïve untreated versus tolerant stimulated by LPS.","DESCRIPTION_FULL":"The inflammatory response initiated by microbial products signaling through Toll-like receptors (TLRs) of the innate immune system is essential for host defense against infection. Because inflammation can be harmful to host tissues, the innate response is highly regulated. Negative regulation of TLR4, the receptor for bacterial lipopolysaccharide (LPS), results in LPS tolerance, defined as hyporesponsiveness to repeated stimulation with LPS. LPS tolerance is thought to protect the host from excessive inflammation by turning off TLR4 signal, which then shuts down TLR-induced genes. However, TLR signaling induces hundreds of genes with very different functions. We reasoned that genes with different functions should have different requirements for regulation. Specifically, genes encoding proinflammatory mediators should be transiently inactivated to limit tissue damage, while genes encoding antimicrobial effectors, which directly target pathogens, should remain inducible in tolerant cells to protect the host from infection. Using an in vitro system of LPS tolerance in macrophages, here we show that TLR-induced genes may indeed be divided into two distinct categories based on their functions and regulatory requirements. Further, we show these distinct groups are regulated by gene-specific, and not signal-specific mechanisms."}
{"STANDARD_NAME":"GSE7348_UNSTIM_VS_TOLERIZED_AND_LPS_STIM_MACROPHAGE_DN","SYSTEMATIC_NAME":"M6848","ORGANISM":"Mus musculus","PMID":"17538624","AUTHORS":"Foster SL,Hargreaves DC,Medzhitov R","GEOID":"GSE7348","EXACT_SOURCE":"GSE7348_3132_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages: naïve untreated versus tolerant stimulated by LPS.","DESCRIPTION_FULL":"The inflammatory response initiated by microbial products signaling through Toll-like receptors (TLRs) of the innate immune system is essential for host defense against infection. Because inflammation can be harmful to host tissues, the innate response is highly regulated. Negative regulation of TLR4, the receptor for bacterial lipopolysaccharide (LPS), results in LPS tolerance, defined as hyporesponsiveness to repeated stimulation with LPS. LPS tolerance is thought to protect the host from excessive inflammation by turning off TLR4 signal, which then shuts down TLR-induced genes. However, TLR signaling induces hundreds of genes with very different functions. We reasoned that genes with different functions should have different requirements for regulation. Specifically, genes encoding proinflammatory mediators should be transiently inactivated to limit tissue damage, while genes encoding antimicrobial effectors, which directly target pathogens, should remain inducible in tolerant cells to protect the host from infection. Using an in vitro system of LPS tolerance in macrophages, here we show that TLR-induced genes may indeed be divided into two distinct categories based on their functions and regulatory requirements. Further, we show these distinct groups are regulated by gene-specific, and not signal-specific mechanisms."}
{"STANDARD_NAME":"GSE7348_LPS_VS_TOLERIZED_AND_LPS_STIM_MACROPHAGE_UP","SYSTEMATIC_NAME":"M6849","ORGANISM":"Mus musculus","PMID":"17538624","AUTHORS":"Foster SL,Hargreaves DC,Medzhitov R","GEOID":"GSE7348","EXACT_SOURCE":"GSE7348_3133_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages in response to LPS: naïve versus tolerant.","DESCRIPTION_FULL":"The inflammatory response initiated by microbial products signaling through Toll-like receptors (TLRs) of the innate immune system is essential for host defense against infection. Because inflammation can be harmful to host tissues, the innate response is highly regulated. Negative regulation of TLR4, the receptor for bacterial lipopolysaccharide (LPS), results in LPS tolerance, defined as hyporesponsiveness to repeated stimulation with LPS. LPS tolerance is thought to protect the host from excessive inflammation by turning off TLR4 signal, which then shuts down TLR-induced genes. However, TLR signaling induces hundreds of genes with very different functions. We reasoned that genes with different functions should have different requirements for regulation. Specifically, genes encoding proinflammatory mediators should be transiently inactivated to limit tissue damage, while genes encoding antimicrobial effectors, which directly target pathogens, should remain inducible in tolerant cells to protect the host from infection. Using an in vitro system of LPS tolerance in macrophages, here we show that TLR-induced genes may indeed be divided into two distinct categories based on their functions and regulatory requirements. Further, we show these distinct groups are regulated by gene-specific, and not signal-specific mechanisms."}
{"STANDARD_NAME":"GSE7348_LPS_VS_TOLERIZED_AND_LPS_STIM_MACROPHAGE_DN","SYSTEMATIC_NAME":"M6850","ORGANISM":"Mus musculus","PMID":"17538624","AUTHORS":"Foster SL,Hargreaves DC,Medzhitov R","GEOID":"GSE7348","EXACT_SOURCE":"GSE7348_3133_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages in response to LPS: naïve versus tolerant.","DESCRIPTION_FULL":"The inflammatory response initiated by microbial products signaling through Toll-like receptors (TLRs) of the innate immune system is essential for host defense against infection. Because inflammation can be harmful to host tissues, the innate response is highly regulated. Negative regulation of TLR4, the receptor for bacterial lipopolysaccharide (LPS), results in LPS tolerance, defined as hyporesponsiveness to repeated stimulation with LPS. LPS tolerance is thought to protect the host from excessive inflammation by turning off TLR4 signal, which then shuts down TLR-induced genes. However, TLR signaling induces hundreds of genes with very different functions. We reasoned that genes with different functions should have different requirements for regulation. Specifically, genes encoding proinflammatory mediators should be transiently inactivated to limit tissue damage, while genes encoding antimicrobial effectors, which directly target pathogens, should remain inducible in tolerant cells to protect the host from infection. Using an in vitro system of LPS tolerance in macrophages, here we show that TLR-induced genes may indeed be divided into two distinct categories based on their functions and regulatory requirements. Further, we show these distinct groups are regulated by gene-specific, and not signal-specific mechanisms."}
{"STANDARD_NAME":"GSE7768_OVA_ALONE_VS_OVA_WITH_LPS_IMMUNIZED_MOUSE_WHOLE_SPLEEN_6H_UP","SYSTEMATIC_NAME":"M6851","ORGANISM":"Mus musculus","PMID":"17569868","AUTHORS":"Mata-Haro V,Cekic C,Martin M,Chilton PM,Casella CR,Mitchell TC","GEOID":"GSE7768","EXACT_SOURCE":"GSE7768_2696_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in spleens from mice immunized with ova peptides alone versus those immunized with LPS as adjuvant.","DESCRIPTION_FULL":"An unresolved issue in immunology is the extent to which inflammatory effects are needed for robust T cell responses. In this study, mice were immunized by iv injection using either high toxicity lipopolysaccharide (LPS) or low toxicity monophosphoryl lipid A (MPL) as adjuvant. Six hours after iv immunization, whole spleens were harvested and gene expression was measured in unfractionated splenic populations of cells. The analysis indicated that the low toxicity adjuvanticity of MPL was associated with TLR4-mediated signaling that was biased to the TRIF branch of TLR4, while LPS generated balanced MyD88 and TRIF-associated outcomes."}
{"STANDARD_NAME":"GSE7768_OVA_ALONE_VS_OVA_WITH_LPS_IMMUNIZED_MOUSE_WHOLE_SPLEEN_6H_DN","SYSTEMATIC_NAME":"M6852","ORGANISM":"Mus musculus","PMID":"17569868","AUTHORS":"Mata-Haro V,Cekic C,Martin M,Chilton PM,Casella CR,Mitchell TC","GEOID":"GSE7768","EXACT_SOURCE":"GSE7768_2696_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in spleens from mice immunized with ova peptides alone versus those immunized with LPS as adjuvant.","DESCRIPTION_FULL":"An unresolved issue in immunology is the extent to which inflammatory effects are needed for robust T cell responses. In this study, mice were immunized by iv injection using either high toxicity lipopolysaccharide (LPS) or low toxicity monophosphoryl lipid A (MPL) as adjuvant. Six hours after iv immunization, whole spleens were harvested and gene expression was measured in unfractionated splenic populations of cells. The analysis indicated that the low toxicity adjuvanticity of MPL was associated with TLR4-mediated signaling that was biased to the TRIF branch of TLR4, while LPS generated balanced MyD88 and TRIF-associated outcomes."}
{"STANDARD_NAME":"GSE7768_OVA_WITH_LPS_VS_OVA_WITH_MPL_IMMUNIZED_MOUSE_WHOLE_SPLEEN_6H_UP","SYSTEMATIC_NAME":"M6853","ORGANISM":"Mus musculus","PMID":"17569868","AUTHORS":"Mata-Haro V,Cekic C,Martin M,Chilton PM,Casella CR,Mitchell TC","GEOID":"GSE7768","EXACT_SOURCE":"GSE7768_2697_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in spleens: LPS versus monophosphoryl lipid A.","DESCRIPTION_FULL":"An unresolved issue in immunology is the extent to which inflammatory effects are needed for robust T cell responses. In this study, mice were immunized by iv injection using either high toxicity lipopolysaccharide (LPS) or low toxicity monophosphoryl lipid A (MPL) as adjuvant. Six hours after iv immunization, whole spleens were harvested and gene expression was measured in unfractionated splenic populations of cells. The analysis indicated that the low toxicity adjuvanticity of MPL was associated with TLR4-mediated signaling that was biased to the TRIF branch of TLR4, while LPS generated balanced MyD88 and TRIF-associated outcomes."}
{"STANDARD_NAME":"GSE7768_OVA_WITH_LPS_VS_OVA_WITH_MPL_IMMUNIZED_MOUSE_WHOLE_SPLEEN_6H_DN","SYSTEMATIC_NAME":"M6855","ORGANISM":"Mus musculus","PMID":"17569868","AUTHORS":"Mata-Haro V,Cekic C,Martin M,Chilton PM,Casella CR,Mitchell TC","GEOID":"GSE7768","EXACT_SOURCE":"GSE7768_2697_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in spleens: LPS versus monophosphoryl lipid A.","DESCRIPTION_FULL":"An unresolved issue in immunology is the extent to which inflammatory effects are needed for robust T cell responses. In this study, mice were immunized by iv injection using either high toxicity lipopolysaccharide (LPS) or low toxicity monophosphoryl lipid A (MPL) as adjuvant. Six hours after iv immunization, whole spleens were harvested and gene expression was measured in unfractionated splenic populations of cells. The analysis indicated that the low toxicity adjuvanticity of MPL was associated with TLR4-mediated signaling that was biased to the TRIF branch of TLR4, while LPS generated balanced MyD88 and TRIF-associated outcomes."}
{"STANDARD_NAME":"GSE7768_OVA_ALONE_VS_OVA_WITH_MPL_IMMUNIZED_MOUSE_WHOLE_SPLEEN_6H_UP","SYSTEMATIC_NAME":"M6857","ORGANISM":"Mus musculus","PMID":"17569868","AUTHORS":"Mata-Haro V,Cekic C,Martin M,Chilton PM,Casella CR,Mitchell TC","GEOID":"GSE7768","EXACT_SOURCE":"GSE7768_2698_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in spleens from mice immunized with ova peptides alone versus those immunized with monophosphoryl lipid A as adjuvant.","DESCRIPTION_FULL":"An unresolved issue in immunology is the extent to which inflammatory effects are needed for robust T cell responses. In this study, mice were immunized by iv injection using either high toxicity lipopolysaccharide (LPS) or low toxicity monophosphoryl lipid A (MPL) as adjuvant. Six hours after iv immunization, whole spleens were harvested and gene expression was measured in unfractionated splenic populations of cells. The analysis indicated that the low toxicity adjuvanticity of MPL was associated with TLR4-mediated signaling that was biased to the TRIF branch of TLR4, while LPS generated balanced MyD88 and TRIF-associated outcomes."}
{"STANDARD_NAME":"GSE7768_OVA_ALONE_VS_OVA_WITH_MPL_IMMUNIZED_MOUSE_WHOLE_SPLEEN_6H_DN","SYSTEMATIC_NAME":"M6859","ORGANISM":"Mus musculus","PMID":"17569868","AUTHORS":"Mata-Haro V,Cekic C,Martin M,Chilton PM,Casella CR,Mitchell TC","GEOID":"GSE7768","EXACT_SOURCE":"GSE7768_2698_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in spleens from mice immunized with ova peptides alone versus those immunized with monophosphoryl lipid A as adjuvant.","DESCRIPTION_FULL":"An unresolved issue in immunology is the extent to which inflammatory effects are needed for robust T cell responses. In this study, mice were immunized by iv injection using either high toxicity lipopolysaccharide (LPS) or low toxicity monophosphoryl lipid A (MPL) as adjuvant. Six hours after iv immunization, whole spleens were harvested and gene expression was measured in unfractionated splenic populations of cells. The analysis indicated that the low toxicity adjuvanticity of MPL was associated with TLR4-mediated signaling that was biased to the TRIF branch of TLR4, while LPS generated balanced MyD88 and TRIF-associated outcomes."}
{"STANDARD_NAME":"GSE4590_PRE_BCELL_VS_SMALL_PRE_BCELL_UP","SYSTEMATIC_NAME":"M6860","ORGANISM":"Homo sapiens","PMID":"17890238","AUTHORS":"Hoffmann R,Lottaz C,Kühne T,Rolink A,Melchers F","GEOID":"GSE4590","EXACT_SOURCE":"GSE4590_3549_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated during B lymphocyte differentiation: pre-B I versus small pre-B II.","DESCRIPTION_FULL":"Cells from four develppmental stages were purified by FACS from human bone marrow samples"}
{"STANDARD_NAME":"GSE4590_PRE_BCELL_VS_SMALL_PRE_BCELL_DN","SYSTEMATIC_NAME":"M6861","ORGANISM":"Homo sapiens","PMID":"17890238","AUTHORS":"Hoffmann R,Lottaz C,Kühne T,Rolink A,Melchers F","GEOID":"GSE4590","EXACT_SOURCE":"GSE4590_3549_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated during B lymphocyte differentiation: pre-B I versus small pre-B II.","DESCRIPTION_FULL":"Cells from four develppmental stages were purified by FACS from human bone marrow samples"}
{"STANDARD_NAME":"GSE4590_PRE_BCELL_VS_LARGE_PRE_BCELL_UP","SYSTEMATIC_NAME":"M6863","ORGANISM":"Homo sapiens","PMID":"17890238","AUTHORS":"Hoffmann R,Lottaz C,Kühne T,Rolink A,Melchers F","GEOID":"GSE4590","EXACT_SOURCE":"GSE4590_3550_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated during B lymphocyte differentiation: pre-B I versus large pre-B II.","DESCRIPTION_FULL":"Cells from four develppmental stages were purified by FACS from human bone marrow samples"}
{"STANDARD_NAME":"GSE4590_PRE_BCELL_VS_LARGE_PRE_BCELL_DN","SYSTEMATIC_NAME":"M6865","ORGANISM":"Homo sapiens","PMID":"17890238","AUTHORS":"Hoffmann R,Lottaz C,Kühne T,Rolink A,Melchers F","GEOID":"GSE4590","EXACT_SOURCE":"GSE4590_3550_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated during B lymphocyte differentiation: pre-B I versus large pre-B II.","DESCRIPTION_FULL":"Cells from four develppmental stages were purified by FACS from human bone marrow samples"}
{"STANDARD_NAME":"GSE4590_PRE_BCELL_VS_VPREB_POS_LARGE_PRE_BCELL_UP","SYSTEMATIC_NAME":"M6867","ORGANISM":"Homo sapiens","PMID":"17890238","AUTHORS":"Hoffmann R,Lottaz C,Kühne T,Rolink A,Melchers F","GEOID":"GSE4590","EXACT_SOURCE":"GSE4590_3551_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated during B lymphocyte differentiation: pre-B I versus VPREB1+ [GeneID=7441] large pre-B II.","DESCRIPTION_FULL":"Cells from four develppmental stages were purified by FACS from human bone marrow samples"}
{"STANDARD_NAME":"GSE4590_PRE_BCELL_VS_VPREB_POS_LARGE_PRE_BCELL_DN","SYSTEMATIC_NAME":"M6871","ORGANISM":"Homo sapiens","PMID":"17890238","AUTHORS":"Hoffmann R,Lottaz C,Kühne T,Rolink A,Melchers F","GEOID":"GSE4590","EXACT_SOURCE":"GSE4590_3551_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated during B lymphocyte differentiation: pre-B I versus VPREB1+ [GeneID=7441] large pre-B II.","DESCRIPTION_FULL":"Cells from four develppmental stages were purified by FACS from human bone marrow samples"}
{"STANDARD_NAME":"GSE4590_SMALL_VS_LARGE_PRE_BCELL_UP","SYSTEMATIC_NAME":"M6872","ORGANISM":"Homo sapiens","PMID":"17890238","AUTHORS":"Hoffmann R,Lottaz C,Kühne T,Rolink A,Melchers F","GEOID":"GSE4590","EXACT_SOURCE":"GSE4590_3552_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated during B lymphocyte differentiation: small pre-B II versus large pre-B II.","DESCRIPTION_FULL":"Cells from four develppmental stages were purified by FACS from human bone marrow samples"}
{"STANDARD_NAME":"GSE4590_SMALL_VS_LARGE_PRE_BCELL_DN","SYSTEMATIC_NAME":"M6873","ORGANISM":"Homo sapiens","PMID":"17890238","AUTHORS":"Hoffmann R,Lottaz C,Kühne T,Rolink A,Melchers F","GEOID":"GSE4590","EXACT_SOURCE":"GSE4590_3552_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated during B lymphocyte differentiation: small pre-B II versus large pre-B II.","DESCRIPTION_FULL":"Cells from four develppmental stages were purified by FACS from human bone marrow samples"}
{"STANDARD_NAME":"GSE4590_SMALL_VS_VPREB_POS_LARGE_PRE_BCELL_UP","SYSTEMATIC_NAME":"M6874","ORGANISM":"Homo sapiens","PMID":"17890238","AUTHORS":"Hoffmann R,Lottaz C,Kühne T,Rolink A,Melchers F","GEOID":"GSE4590","EXACT_SOURCE":"GSE4590_3553_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated during B lymphocyte differentiation: small pre-B II versus VPREB1+ [GeneID=7441] large pre-B II.","DESCRIPTION_FULL":"Cells from four develppmental stages were purified by FACS from human bone marrow samples"}
{"STANDARD_NAME":"GSE4590_SMALL_VS_VPREB_POS_LARGE_PRE_BCELL_DN","SYSTEMATIC_NAME":"M6876","ORGANISM":"Homo sapiens","PMID":"17890238","AUTHORS":"Hoffmann R,Lottaz C,Kühne T,Rolink A,Melchers F","GEOID":"GSE4590","EXACT_SOURCE":"GSE4590_3553_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated during B lymphocyte differentiation: small pre-B II versus VPREB1+ [GeneID=7441] large pre-B II.","DESCRIPTION_FULL":"Cells from four develppmental stages were purified by FACS from human bone marrow samples"}
{"STANDARD_NAME":"GSE4590_LARGE_PRE_BCELL_VS_VPREB_POS_LARGE_PRE_BCELL_UP","SYSTEMATIC_NAME":"M6877","ORGANISM":"Homo sapiens","PMID":"17890238","AUTHORS":"Hoffmann R,Lottaz C,Kühne T,Rolink A,Melchers F","GEOID":"GSE4590","EXACT_SOURCE":"GSE4590_3554_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated during B lymphocyte differentiation: large pre-B II versus VPREB1+ [GeneID=7441] pre-B Il.","DESCRIPTION_FULL":"Cells from four develppmental stages were purified by FACS from human bone marrow samples"}
{"STANDARD_NAME":"GSE4590_LARGE_PRE_BCELL_VS_VPREB_POS_LARGE_PRE_BCELL_DN","SYSTEMATIC_NAME":"M6878","ORGANISM":"Homo sapiens","PMID":"17890238","AUTHORS":"Hoffmann R,Lottaz C,Kühne T,Rolink A,Melchers F","GEOID":"GSE4590","EXACT_SOURCE":"GSE4590_3554_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated during B lymphocyte differentiation: large pre-B II versus VPREB1+ [GeneID=7441] pre-B Il.","DESCRIPTION_FULL":"Cells from four develppmental stages were purified by FACS from human bone marrow samples"}
{"STANDARD_NAME":"GSE9601_UNTREATED_VS_NFKB_INHIBITOR_TREATED_HCMV_INF_MONOCYTE_UP","SYSTEMATIC_NAME":"M6880","ORGANISM":"Homo sapiens","PMID":"18003728","AUTHORS":"Chan G,Bivins-Smith ER,Smith MS,Yurochko AD","GEOID":"GSE9601","EXACT_SOURCE":"GSE9601_3810_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in monocytes after HCMV infection: untreated versus BAY 11-7082 [PubChem=5353431].","DESCRIPTION_FULL":"Human cytomegalovirus induces a pro-inflammatory monocyte following infection and we have evidence that NF-κB and phosphatidylinositol 3-kinase [PI(3)K] are key mediators in this early activation. To begin to address how these signalling pathways are responsible for the rapid activation of infected monocytes, we examined the role these pathways played in the transcriptome of infected monocytes. Global transcriptional profiling using cDNA microarrays revealed a significant number of genes, including inflammatory genes, were regulated in a NF-κB- and/or PI(3)K-dependent manner, identifying these pathways as key cellular control points in the conversion of monocytes to an activated pro-inflammatory state following HCMV infection."}
{"STANDARD_NAME":"GSE9601_UNTREATED_VS_NFKB_INHIBITOR_TREATED_HCMV_INF_MONOCYTE_DN","SYSTEMATIC_NAME":"M6881","ORGANISM":"Homo sapiens","PMID":"18003728","AUTHORS":"Chan G,Bivins-Smith ER,Smith MS,Yurochko AD","GEOID":"GSE9601","EXACT_SOURCE":"GSE9601_3810_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in monocytes after HCMV infection: untreated versus BAY 11-7082 [PubChem=5353431].","DESCRIPTION_FULL":"Human cytomegalovirus induces a pro-inflammatory monocyte following infection and we have evidence that NF-κB and phosphatidylinositol 3-kinase [PI(3)K] are key mediators in this early activation. To begin to address how these signalling pathways are responsible for the rapid activation of infected monocytes, we examined the role these pathways played in the transcriptome of infected monocytes. Global transcriptional profiling using cDNA microarrays revealed a significant number of genes, including inflammatory genes, were regulated in a NF-κB- and/or PI(3)K-dependent manner, identifying these pathways as key cellular control points in the conversion of monocytes to an activated pro-inflammatory state following HCMV infection."}
{"STANDARD_NAME":"GSE9601_UNTREATED_VS_PI3K_INHIBITOR_TREATED_HCMV_INF_MONOCYTE_UP","SYSTEMATIC_NAME":"M6882","ORGANISM":"Homo sapiens","PMID":"18003728","AUTHORS":"Chan G,Bivins-Smith ER,Smith MS,Yurochko AD","GEOID":"GSE9601","EXACT_SOURCE":"GSE9601_3811_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in monocytes after HCMV infection: untreated versus Ly294002 [PubChem=3973].","DESCRIPTION_FULL":"Human cytomegalovirus induces a pro-inflammatory monocyte following infection and we have evidence that NF-κB and phosphatidylinositol 3-kinase [PI(3)K] are key mediators in this early activation. To begin to address how these signalling pathways are responsible for the rapid activation of infected monocytes, we examined the role these pathways played in the transcriptome of infected monocytes. Global transcriptional profiling using cDNA microarrays revealed a significant number of genes, including inflammatory genes, were regulated in a NF-κB- and/or PI(3)K-dependent manner, identifying these pathways as key cellular control points in the conversion of monocytes to an activated pro-inflammatory state following HCMV infection."}
{"STANDARD_NAME":"GSE9601_UNTREATED_VS_PI3K_INHIBITOR_TREATED_HCMV_INF_MONOCYTE_DN","SYSTEMATIC_NAME":"M6883","ORGANISM":"Homo sapiens","PMID":"18003728","AUTHORS":"Chan G,Bivins-Smith ER,Smith MS,Yurochko AD","GEOID":"GSE9601","EXACT_SOURCE":"GSE9601_3811_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in monocytes after HCMV infection: untreated versus Ly294002 [PubChem=3973].","DESCRIPTION_FULL":"Human cytomegalovirus induces a pro-inflammatory monocyte following infection and we have evidence that NF-κB and phosphatidylinositol 3-kinase [PI(3)K] are key mediators in this early activation. To begin to address how these signalling pathways are responsible for the rapid activation of infected monocytes, we examined the role these pathways played in the transcriptome of infected monocytes. Global transcriptional profiling using cDNA microarrays revealed a significant number of genes, including inflammatory genes, were regulated in a NF-κB- and/or PI(3)K-dependent manner, identifying these pathways as key cellular control points in the conversion of monocytes to an activated pro-inflammatory state following HCMV infection."}
{"STANDARD_NAME":"GSE9601_NFKB_INHIBITOR_VS_PI3K_INHIBITOR_TREATED_HCMV_INF_MONOCYTE_UP","SYSTEMATIC_NAME":"M6884","ORGANISM":"Homo sapiens","PMID":"18003728","AUTHORS":"Chan G,Bivins-Smith ER,Smith MS,Yurochko AD","GEOID":"GSE9601","EXACT_SOURCE":"GSE9601_3812_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in monocytes after HCMV infection: BAY 11-7082 [PubChem=5353431] versus Ly294002 [PubChem=3973].","DESCRIPTION_FULL":"Human cytomegalovirus induces a pro-inflammatory monocyte following infection and we have evidence that NF-κB and phosphatidylinositol 3-kinase [PI(3)K] are key mediators in this early activation. To begin to address how these signalling pathways are responsible for the rapid activation of infected monocytes, we examined the role these pathways played in the transcriptome of infected monocytes. Global transcriptional profiling using cDNA microarrays revealed a significant number of genes, including inflammatory genes, were regulated in a NF-κB- and/or PI(3)K-dependent manner, identifying these pathways as key cellular control points in the conversion of monocytes to an activated pro-inflammatory state following HCMV infection."}
{"STANDARD_NAME":"GSE9601_NFKB_INHIBITOR_VS_PI3K_INHIBITOR_TREATED_HCMV_INF_MONOCYTE_DN","SYSTEMATIC_NAME":"M6887","ORGANISM":"Homo sapiens","PMID":"18003728","AUTHORS":"Chan G,Bivins-Smith ER,Smith MS,Yurochko AD","GEOID":"GSE9601","EXACT_SOURCE":"GSE9601_3812_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in monocytes after HCMV infection: BAY 11-7082 [PubChem=5353431] versus Ly294002 [PubChem=3973].","DESCRIPTION_FULL":"Human cytomegalovirus induces a pro-inflammatory monocyte following infection and we have evidence that NF-κB and phosphatidylinositol 3-kinase [PI(3)K] are key mediators in this early activation. To begin to address how these signalling pathways are responsible for the rapid activation of infected monocytes, we examined the role these pathways played in the transcriptome of infected monocytes. Global transcriptional profiling using cDNA microarrays revealed a significant number of genes, including inflammatory genes, were regulated in a NF-κB- and/or PI(3)K-dependent manner, identifying these pathways as key cellular control points in the conversion of monocytes to an activated pro-inflammatory state following HCMV infection."}
{"STANDARD_NAME":"GSE9316_IL6_KO_VS_IFNG_KO_INVIVO_EXPANDED_CD4_TCELL_UP","SYSTEMATIC_NAME":"M6888","ORGANISM":"Mus musculus","PMID":"18025126","AUTHORS":"Hirota K,Yoshitomi H,Hashimoto M,Maeda S,Teradaira S,Sugimoto N,Yamaguchi T,Nomura T,Ito H,Nakamura T,Sakaguchi N,Sakaguchi S","GEOID":"GSE9316","EXACT_SOURCE":"GSE9316_2840_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells with in vivo expansion: IL6 [GeneID=3569] versus IFNG [GeneID=3458].","DESCRIPTION_FULL":"Th17 cells are enriched by sorting FR4-CD4+ T cells from SKG mice. A large number of Th17 cells also develop spontaneously when CD4+ T cells from IFN-g-deficient (IFN-g-/-) BALB/c mice are transferred to T cell-deficient RAG2-deficient (RAG2-/-) mice and subjected to homeostatic proliferation, whereas they fail to develop in similar transfer of IL-6-deficient (IL-6-/-) CD4+ T cells to IL-6-/- RAG2-/- mice. To explore the functional molecules specifically expressed by Th17 cells, we conducted Gene Microarray analysis between 10-month-old SKG FR4-CD4+ cells and age-matched BALB/c FR4-CD4+ cells, and between IFN-g-/- CD4+ cells transferred to RAG2-/- mice and IL-6-/- CD4+ T cells transferred to IL-6-/- RAG2-/- mice. The analysis revealed that 1,556 and 115 genes were up-regulated in 10-month-old SKG FR4-CD4+ and IFN-g-/- CD4+ T cells after homeostatic proliferation, respectively, with 29 genes shared by the two groups of genes. The 29 genes included those encoding cytokines, chemokines, and their receptors, such as IL-1 receptor type1 (IL-1R1), IL-17, IL-22, IL-21, CCR6, and CCL20."}
{"STANDARD_NAME":"GSE9316_IL6_KO_VS_IFNG_KO_INVIVO_EXPANDED_CD4_TCELL_DN","SYSTEMATIC_NAME":"M6892","ORGANISM":"Mus musculus","PMID":"18025126","AUTHORS":"Hirota K,Yoshitomi H,Hashimoto M,Maeda S,Teradaira S,Sugimoto N,Yamaguchi T,Nomura T,Ito H,Nakamura T,Sakaguchi N,Sakaguchi S","GEOID":"GSE9316","EXACT_SOURCE":"GSE9316_2840_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells with in vivo expansion: IL6 [GeneID=3569] versus IFNG [GeneID=3458].","DESCRIPTION_FULL":"Th17 cells are enriched by sorting FR4-CD4+ T cells from SKG mice. A large number of Th17 cells also develop spontaneously when CD4+ T cells from IFN-g-deficient (IFN-g-/-) BALB/c mice are transferred to T cell-deficient RAG2-deficient (RAG2-/-) mice and subjected to homeostatic proliferation, whereas they fail to develop in similar transfer of IL-6-deficient (IL-6-/-) CD4+ T cells to IL-6-/- RAG2-/- mice. To explore the functional molecules specifically expressed by Th17 cells, we conducted Gene Microarray analysis between 10-month-old SKG FR4-CD4+ cells and age-matched BALB/c FR4-CD4+ cells, and between IFN-g-/- CD4+ cells transferred to RAG2-/- mice and IL-6-/- CD4+ T cells transferred to IL-6-/- RAG2-/- mice. The analysis revealed that 1,556 and 115 genes were up-regulated in 10-month-old SKG FR4-CD4+ and IFN-g-/- CD4+ T cells after homeostatic proliferation, respectively, with 29 genes shared by the two groups of genes. The 29 genes included those encoding cytokines, chemokines, and their receptors, such as IL-1 receptor type1 (IL-1R1), IL-17, IL-22, IL-21, CCR6, and CCL20."}
{"STANDARD_NAME":"GSE9316_CD4_TCELL_BALBC_VS_TH17_ENRI_CD4_TCELL_SKG_PMA_IONO_STIM_FR4NEG_UP","SYSTEMATIC_NAME":"M6893","ORGANISM":"Mus musculus","PMID":"18025126","AUTHORS":"Hirota K,Yoshitomi H,Hashimoto M,Maeda S,Teradaira S,Sugimoto N,Yamaguchi T,Nomura T,Ito H,Nakamura T,Sakaguchi N,Sakaguchi S","GEOID":"GSE9316","EXACT_SOURCE":"GSE9316_2841_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in FOLR4- CD4 [GeneID=390243;920] T cells treated by phorbol myristate acetate and ionomycin [PubChem=4792;3733] from: BALB/c versus SKG mice.","DESCRIPTION_FULL":"Th17 cells are enriched by sorting FR4-CD4+ T cells from SKG mice. A large number of Th17 cells also develop spontaneously when CD4+ T cells from IFN-g-deficient (IFN-g-/-) BALB/c mice are transferred to T cell-deficient RAG2-deficient (RAG2-/-) mice and subjected to homeostatic proliferation, whereas they fail to develop in similar transfer of IL-6-deficient (IL-6-/-) CD4+ T cells to IL-6-/- RAG2-/- mice. To explore the functional molecules specifically expressed by Th17 cells, we conducted Gene Microarray analysis between 10-month-old SKG FR4-CD4+ cells and age-matched BALB/c FR4-CD4+ cells, and between IFN-g-/- CD4+ cells transferred to RAG2-/- mice and IL-6-/- CD4+ T cells transferred to IL-6-/- RAG2-/- mice. The analysis revealed that 1,556 and 115 genes were up-regulated in 10-month-old SKG FR4-CD4+ and IFN-g-/- CD4+ T cells after homeostatic proliferation, respectively, with 29 genes shared by the two groups of genes. The 29 genes included those encoding cytokines, chemokines, and their receptors, such as IL-1 receptor type1 (IL-1R1), IL-17, IL-22, IL-21, CCR6, and CCL20."}
{"STANDARD_NAME":"GSE9316_CD4_TCELL_BALBC_VS_TH17_ENRI_CD4_TCELL_SKG_PMA_IONO_STIM_FR4NEG_DN","SYSTEMATIC_NAME":"M6894","ORGANISM":"Mus musculus","PMID":"18025126","AUTHORS":"Hirota K,Yoshitomi H,Hashimoto M,Maeda S,Teradaira S,Sugimoto N,Yamaguchi T,Nomura T,Ito H,Nakamura T,Sakaguchi N,Sakaguchi S","GEOID":"GSE9316","EXACT_SOURCE":"GSE9316_2841_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in FOLR4- CD4 [GeneID=390243;920] T cells treated by phorbol myristate acetate and ionomycin [PubChem=4792;3733] from: BALB/c versus SKG mice.","DESCRIPTION_FULL":"Th17 cells are enriched by sorting FR4-CD4+ T cells from SKG mice. A large number of Th17 cells also develop spontaneously when CD4+ T cells from IFN-g-deficient (IFN-g-/-) BALB/c mice are transferred to T cell-deficient RAG2-deficient (RAG2-/-) mice and subjected to homeostatic proliferation, whereas they fail to develop in similar transfer of IL-6-deficient (IL-6-/-) CD4+ T cells to IL-6-/- RAG2-/- mice. To explore the functional molecules specifically expressed by Th17 cells, we conducted Gene Microarray analysis between 10-month-old SKG FR4-CD4+ cells and age-matched BALB/c FR4-CD4+ cells, and between IFN-g-/- CD4+ cells transferred to RAG2-/- mice and IL-6-/- CD4+ T cells transferred to IL-6-/- RAG2-/- mice. The analysis revealed that 1,556 and 115 genes were up-regulated in 10-month-old SKG FR4-CD4+ and IFN-g-/- CD4+ T cells after homeostatic proliferation, respectively, with 29 genes shared by the two groups of genes. The 29 genes included those encoding cytokines, chemokines, and their receptors, such as IL-1 receptor type1 (IL-1R1), IL-17, IL-22, IL-21, CCR6, and CCL20."}
{"STANDARD_NAME":"GSE9509_LPS_VS_LPS_AND_IL10_STIM_IL10_KO_MACROPHAGE_10MIN_UP","SYSTEMATIC_NAME":"M6895","ORGANISM":"Mus musculus","PMID":"18025162","AUTHORS":"Kasmi El KC,Smith AM,Williams L,Neale G,Panopoulos AD,Panopolous A,Watowich SS,Häcker H,Foxwell BM,Murray PJ","GEOID":"GSE9509","EXACT_SOURCE":"GSE9509_3052_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages with IL10 [GeneID=3586] knockout in response to 10 min treatment by: LPS versus LPS and IL10 [GeneID=3586].","DESCRIPTION_FULL":"IL-10 regulates anti-inflammatory signaling via the activation of STAT3, which in turn controls the induction of a gene expression program whose products execute inhibitory effects on pro-inflammatory mediator production. Here we show that IL-10 induces the expression of an ETS family transcriptional repressor, ETV3 and a helicase family co-repressor, SBNO2 (Strawberry notch homolog 2) in mouse and human macrophages. IL-10-mediated induction of ETV3 and SBNO2 expression was dependent upon both STAT3, and co-stimulus through the TLR pathway. We also observed that ETV3 expression was strongly induced by the STAT3 pathway induced by IL-10 but not STAT3 signaling activated by IL-6, which cannot activate the anti-inflammatory signaling pathway. ETV3 and SBNO2 specifically repressed NF-kB-mediated transcription and can physically interact. Collectively our data suggest that ETV3 and SBNO2 are components of the pathways that contribute to the downstream anti-inflammatory effects of IL-10. We compared expression profiles of macrophages isolated from IL-10 -/- mice. Macrophages were treated with either LPS or LPS plus IL-10. Treatment times were 10, 20 and 30 minutes."}
{"STANDARD_NAME":"GSE9509_LPS_VS_LPS_AND_IL10_STIM_IL10_KO_MACROPHAGE_10MIN_DN","SYSTEMATIC_NAME":"M6896","ORGANISM":"Mus musculus","PMID":"18025162","AUTHORS":"Kasmi El KC,Smith AM,Williams L,Neale G,Panopoulos AD,Panopolous A,Watowich SS,Häcker H,Foxwell BM,Murray PJ","GEOID":"GSE9509","EXACT_SOURCE":"GSE9509_3052_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages with IL10 [GeneID=3586] knockout in response to 10 min treatment by: LPS versus LPS and IL10 [GeneID=3586].","DESCRIPTION_FULL":"IL-10 regulates anti-inflammatory signaling via the activation of STAT3, which in turn controls the induction of a gene expression program whose products execute inhibitory effects on pro-inflammatory mediator production. Here we show that IL-10 induces the expression of an ETS family transcriptional repressor, ETV3 and a helicase family co-repressor, SBNO2 (Strawberry notch homolog 2) in mouse and human macrophages. IL-10-mediated induction of ETV3 and SBNO2 expression was dependent upon both STAT3, and co-stimulus through the TLR pathway. We also observed that ETV3 expression was strongly induced by the STAT3 pathway induced by IL-10 but not STAT3 signaling activated by IL-6, which cannot activate the anti-inflammatory signaling pathway. ETV3 and SBNO2 specifically repressed NF-kB-mediated transcription and can physically interact. Collectively our data suggest that ETV3 and SBNO2 are components of the pathways that contribute to the downstream anti-inflammatory effects of IL-10. We compared expression profiles of macrophages isolated from IL-10 -/- mice. Macrophages were treated with either LPS or LPS plus IL-10. Treatment times were 10, 20 and 30 minutes."}
{"STANDARD_NAME":"GSE9509_LPS_VS_LPS_AND_IL10_STIM_IL10_KO_MACROPHAGE_20MIN_UP","SYSTEMATIC_NAME":"M6899","ORGANISM":"Mus musculus","PMID":"18025162","AUTHORS":"Kasmi El KC,Smith AM,Williams L,Neale G,Panopoulos AD,Panopolous A,Watowich SS,Häcker H,Foxwell BM,Murray PJ","GEOID":"GSE9509","EXACT_SOURCE":"GSE9509_3053_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages with IL10 [GeneID=3586] knockout in response to 20 min treatment by: LPS versus LPS and IL10 [GeneID=3586].","DESCRIPTION_FULL":"IL-10 regulates anti-inflammatory signaling via the activation of STAT3, which in turn controls the induction of a gene expression program whose products execute inhibitory effects on pro-inflammatory mediator production. Here we show that IL-10 induces the expression of an ETS family transcriptional repressor, ETV3 and a helicase family co-repressor, SBNO2 (Strawberry notch homolog 2) in mouse and human macrophages. IL-10-mediated induction of ETV3 and SBNO2 expression was dependent upon both STAT3, and co-stimulus through the TLR pathway. We also observed that ETV3 expression was strongly induced by the STAT3 pathway induced by IL-10 but not STAT3 signaling activated by IL-6, which cannot activate the anti-inflammatory signaling pathway. ETV3 and SBNO2 specifically repressed NF-kB-mediated transcription and can physically interact. Collectively our data suggest that ETV3 and SBNO2 are components of the pathways that contribute to the downstream anti-inflammatory effects of IL-10. We compared expression profiles of macrophages isolated from IL-10 -/- mice. Macrophages were treated with either LPS or LPS plus IL-10. Treatment times were 10, 20 and 30 minutes."}
{"STANDARD_NAME":"GSE9509_LPS_VS_LPS_AND_IL10_STIM_IL10_KO_MACROPHAGE_20MIN_DN","SYSTEMATIC_NAME":"M6901","ORGANISM":"Mus musculus","PMID":"18025162","AUTHORS":"Kasmi El KC,Smith AM,Williams L,Neale G,Panopoulos AD,Panopolous A,Watowich SS,Häcker H,Foxwell BM,Murray PJ","GEOID":"GSE9509","EXACT_SOURCE":"GSE9509_3053_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages with IL10 [GeneID=3586] knockout in response to 20 min treatment by: LPS versus LPS and IL10 [GeneID=3586].","DESCRIPTION_FULL":"IL-10 regulates anti-inflammatory signaling via the activation of STAT3, which in turn controls the induction of a gene expression program whose products execute inhibitory effects on pro-inflammatory mediator production. Here we show that IL-10 induces the expression of an ETS family transcriptional repressor, ETV3 and a helicase family co-repressor, SBNO2 (Strawberry notch homolog 2) in mouse and human macrophages. IL-10-mediated induction of ETV3 and SBNO2 expression was dependent upon both STAT3, and co-stimulus through the TLR pathway. We also observed that ETV3 expression was strongly induced by the STAT3 pathway induced by IL-10 but not STAT3 signaling activated by IL-6, which cannot activate the anti-inflammatory signaling pathway. ETV3 and SBNO2 specifically repressed NF-kB-mediated transcription and can physically interact. Collectively our data suggest that ETV3 and SBNO2 are components of the pathways that contribute to the downstream anti-inflammatory effects of IL-10. We compared expression profiles of macrophages isolated from IL-10 -/- mice. Macrophages were treated with either LPS or LPS plus IL-10. Treatment times were 10, 20 and 30 minutes."}
{"STANDARD_NAME":"GSE9509_LPS_VS_LPS_AND_IL10_STIM_IL10_KO_MACROPHAGE_30MIN_UP","SYSTEMATIC_NAME":"M6902","ORGANISM":"Mus musculus","PMID":"18025162","AUTHORS":"Kasmi El KC,Smith AM,Williams L,Neale G,Panopoulos AD,Panopolous A,Watowich SS,Häcker H,Foxwell BM,Murray PJ","GEOID":"GSE9509","EXACT_SOURCE":"GSE9509_3054_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages with IL10 [GeneID=3586] knockout in response to 30 min treatment by: LPS versus LPS and IL10 [GeneID=3586].","DESCRIPTION_FULL":"IL-10 regulates anti-inflammatory signaling via the activation of STAT3, which in turn controls the induction of a gene expression program whose products execute inhibitory effects on pro-inflammatory mediator production. Here we show that IL-10 induces the expression of an ETS family transcriptional repressor, ETV3 and a helicase family co-repressor, SBNO2 (Strawberry notch homolog 2) in mouse and human macrophages. IL-10-mediated induction of ETV3 and SBNO2 expression was dependent upon both STAT3, and co-stimulus through the TLR pathway. We also observed that ETV3 expression was strongly induced by the STAT3 pathway induced by IL-10 but not STAT3 signaling activated by IL-6, which cannot activate the anti-inflammatory signaling pathway. ETV3 and SBNO2 specifically repressed NF-kB-mediated transcription and can physically interact. Collectively our data suggest that ETV3 and SBNO2 are components of the pathways that contribute to the downstream anti-inflammatory effects of IL-10. We compared expression profiles of macrophages isolated from IL-10 -/- mice. Macrophages were treated with either LPS or LPS plus IL-10. Treatment times were 10, 20 and 30 minutes."}
{"STANDARD_NAME":"GSE9509_LPS_VS_LPS_AND_IL10_STIM_IL10_KO_MACROPHAGE_30MIN_DN","SYSTEMATIC_NAME":"M6903","ORGANISM":"Mus musculus","PMID":"18025162","AUTHORS":"Kasmi El KC,Smith AM,Williams L,Neale G,Panopoulos AD,Panopolous A,Watowich SS,Häcker H,Foxwell BM,Murray PJ","GEOID":"GSE9509","EXACT_SOURCE":"GSE9509_3054_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages with IL10 [GeneID=3586] knockout in response to 30 min treatment by: LPS versus LPS and IL10 [GeneID=3586].","DESCRIPTION_FULL":"IL-10 regulates anti-inflammatory signaling via the activation of STAT3, which in turn controls the induction of a gene expression program whose products execute inhibitory effects on pro-inflammatory mediator production. Here we show that IL-10 induces the expression of an ETS family transcriptional repressor, ETV3 and a helicase family co-repressor, SBNO2 (Strawberry notch homolog 2) in mouse and human macrophages. IL-10-mediated induction of ETV3 and SBNO2 expression was dependent upon both STAT3, and co-stimulus through the TLR pathway. We also observed that ETV3 expression was strongly induced by the STAT3 pathway induced by IL-10 but not STAT3 signaling activated by IL-6, which cannot activate the anti-inflammatory signaling pathway. ETV3 and SBNO2 specifically repressed NF-kB-mediated transcription and can physically interact. Collectively our data suggest that ETV3 and SBNO2 are components of the pathways that contribute to the downstream anti-inflammatory effects of IL-10. We compared expression profiles of macrophages isolated from IL-10 -/- mice. Macrophages were treated with either LPS or LPS plus IL-10. Treatment times were 10, 20 and 30 minutes."}
{"STANDARD_NAME":"GSE9509_10MIN_VS_30MIN_LPS_STIM_IL10_KO_MACROPHAGE_UP","SYSTEMATIC_NAME":"M6904","ORGANISM":"Mus musculus","PMID":"18025162","AUTHORS":"Kasmi El KC,Smith AM,Williams L,Neale G,Panopoulos AD,Panopolous A,Watowich SS,Häcker H,Foxwell BM,Murray PJ","GEOID":"GSE9509","EXACT_SOURCE":"GSE9509_3055_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages with IL10 [GeneID=3586] knockout treated by LPS: 10 min versus 30 min.","DESCRIPTION_FULL":"IL-10 regulates anti-inflammatory signaling via the activation of STAT3, which in turn controls the induction of a gene expression program whose products execute inhibitory effects on pro-inflammatory mediator production. Here we show that IL-10 induces the expression of an ETS family transcriptional repressor, ETV3 and a helicase family co-repressor, SBNO2 (Strawberry notch homolog 2) in mouse and human macrophages. IL-10-mediated induction of ETV3 and SBNO2 expression was dependent upon both STAT3, and co-stimulus through the TLR pathway. We also observed that ETV3 expression was strongly induced by the STAT3 pathway induced by IL-10 but not STAT3 signaling activated by IL-6, which cannot activate the anti-inflammatory signaling pathway. ETV3 and SBNO2 specifically repressed NF-kB-mediated transcription and can physically interact. Collectively our data suggest that ETV3 and SBNO2 are components of the pathways that contribute to the downstream anti-inflammatory effects of IL-10. We compared expression profiles of macrophages isolated from IL-10 -/- mice. Macrophages were treated with either LPS or LPS plus IL-10. Treatment times were 10, 20 and 30 minutes."}
{"STANDARD_NAME":"GSE9509_10MIN_VS_30MIN_LPS_STIM_IL10_KO_MACROPHAGE_DN","SYSTEMATIC_NAME":"M6908","ORGANISM":"Mus musculus","PMID":"18025162","AUTHORS":"Kasmi El KC,Smith AM,Williams L,Neale G,Panopoulos AD,Panopolous A,Watowich SS,Häcker H,Foxwell BM,Murray PJ","GEOID":"GSE9509","EXACT_SOURCE":"GSE9509_3055_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages with IL10 [GeneID=3586] knockout treated by LPS: 10 min versus 30 min.","DESCRIPTION_FULL":"IL-10 regulates anti-inflammatory signaling via the activation of STAT3, which in turn controls the induction of a gene expression program whose products execute inhibitory effects on pro-inflammatory mediator production. Here we show that IL-10 induces the expression of an ETS family transcriptional repressor, ETV3 and a helicase family co-repressor, SBNO2 (Strawberry notch homolog 2) in mouse and human macrophages. IL-10-mediated induction of ETV3 and SBNO2 expression was dependent upon both STAT3, and co-stimulus through the TLR pathway. We also observed that ETV3 expression was strongly induced by the STAT3 pathway induced by IL-10 but not STAT3 signaling activated by IL-6, which cannot activate the anti-inflammatory signaling pathway. ETV3 and SBNO2 specifically repressed NF-kB-mediated transcription and can physically interact. Collectively our data suggest that ETV3 and SBNO2 are components of the pathways that contribute to the downstream anti-inflammatory effects of IL-10. We compared expression profiles of macrophages isolated from IL-10 -/- mice. Macrophages were treated with either LPS or LPS plus IL-10. Treatment times were 10, 20 and 30 minutes."}
{"STANDARD_NAME":"GSE9509_10MIN_VS_30MIN_LPS_AND_IL10_STIM_IL10_KO_MACROPHAGE_UP","SYSTEMATIC_NAME":"M6909","ORGANISM":"Mus musculus","PMID":"18025162","AUTHORS":"Kasmi El KC,Smith AM,Williams L,Neale G,Panopoulos AD,Panopolous A,Watowich SS,Häcker H,Foxwell BM,Murray PJ","GEOID":"GSE9509","EXACT_SOURCE":"GSE9509_3056_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages with IL10 [GeneID=3586] knockout treated by LPS and IL10 [GeneID=3586]: 10 min versus 30 min.","DESCRIPTION_FULL":"IL-10 regulates anti-inflammatory signaling via the activation of STAT3, which in turn controls the induction of a gene expression program whose products execute inhibitory effects on pro-inflammatory mediator production. Here we show that IL-10 induces the expression of an ETS family transcriptional repressor, ETV3 and a helicase family co-repressor, SBNO2 (Strawberry notch homolog 2) in mouse and human macrophages. IL-10-mediated induction of ETV3 and SBNO2 expression was dependent upon both STAT3, and co-stimulus through the TLR pathway. We also observed that ETV3 expression was strongly induced by the STAT3 pathway induced by IL-10 but not STAT3 signaling activated by IL-6, which cannot activate the anti-inflammatory signaling pathway. ETV3 and SBNO2 specifically repressed NF-kB-mediated transcription and can physically interact. Collectively our data suggest that ETV3 and SBNO2 are components of the pathways that contribute to the downstream anti-inflammatory effects of IL-10. We compared expression profiles of macrophages isolated from IL-10 -/- mice. Macrophages were treated with either LPS or LPS plus IL-10. Treatment times were 10, 20 and 30 minutes."}
{"STANDARD_NAME":"GSE9509_10MIN_VS_30MIN_LPS_AND_IL10_STIM_IL10_KO_MACROPHAGE_DN","SYSTEMATIC_NAME":"M6911","ORGANISM":"Mus musculus","PMID":"18025162","AUTHORS":"Kasmi El KC,Smith AM,Williams L,Neale G,Panopoulos AD,Panopolous A,Watowich SS,Häcker H,Foxwell BM,Murray PJ","GEOID":"GSE9509","EXACT_SOURCE":"GSE9509_3056_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages with IL10 [GeneID=3586] knockout treated by LPS and IL10 [GeneID=3586]: 10 min versus 30 min.","DESCRIPTION_FULL":"IL-10 regulates anti-inflammatory signaling via the activation of STAT3, which in turn controls the induction of a gene expression program whose products execute inhibitory effects on pro-inflammatory mediator production. Here we show that IL-10 induces the expression of an ETS family transcriptional repressor, ETV3 and a helicase family co-repressor, SBNO2 (Strawberry notch homolog 2) in mouse and human macrophages. IL-10-mediated induction of ETV3 and SBNO2 expression was dependent upon both STAT3, and co-stimulus through the TLR pathway. We also observed that ETV3 expression was strongly induced by the STAT3 pathway induced by IL-10 but not STAT3 signaling activated by IL-6, which cannot activate the anti-inflammatory signaling pathway. ETV3 and SBNO2 specifically repressed NF-kB-mediated transcription and can physically interact. Collectively our data suggest that ETV3 and SBNO2 are components of the pathways that contribute to the downstream anti-inflammatory effects of IL-10. We compared expression profiles of macrophages isolated from IL-10 -/- mice. Macrophages were treated with either LPS or LPS plus IL-10. Treatment times were 10, 20 and 30 minutes."}
{"STANDARD_NAME":"GSE6674_UNSTIM_VS_ANTI_IGM_STIM_BCELL_UP","SYSTEMATIC_NAME":"M6915","ORGANISM":"Mus musculus","PMID":"18025183","AUTHORS":"Busconi L,Bauer JW,Tumang JR,Laws A,Perkins-Mesires K,Tabor AS,Lau C,Corley RB,Rothstein TL,Lund FE,Behrens TW,Marshak-Rothstein A","GEOID":"GSE6674","EXACT_SOURCE":"GSE6674_3086_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in B lymphocytes: control versus anti IgM.","DESCRIPTION_FULL":"We have previously shown that rheumatoid factors (RF) produced by Fas-deficient autoimmune-prone mice typically bind autologous IgG2a with remarkably low affinity. Nevertheless, B cells representative of this RF population proliferate vigorously in response IgG2a/chromatin immune complexes through a mechanism dependent on the sequential engagement of the BCR and Toll-like receptor 9 (TLR9). To more precisely address the role of both receptors in this response, we analyzed the signaling pathways activated in AM14 B cells stimulated with these complexes. We found that the BCR not only serves to direct the chromatin complex to an internal compartment where it can engage TLR9 but also transmits a suboptimal signal that in combination with the signals emanating from TLR9 leads to NF-kappa-B activation and proliferation. Importantly, engagement of both receptors leads to the upregulation of a group of gene products, not induced by the BCR or TLR9 alone, that include IL-2. These data indicate that autoreactive B cells, stimulated by a combination of BCR and TLR9 ligands, acquire functional properties that may contribute to the activation of additional cells involved in the autoimmune disease process."}
{"STANDARD_NAME":"GSE6674_UNSTIM_VS_ANTI_IGM_STIM_BCELL_DN","SYSTEMATIC_NAME":"M6916","ORGANISM":"Mus musculus","PMID":"18025183","AUTHORS":"Busconi L,Bauer JW,Tumang JR,Laws A,Perkins-Mesires K,Tabor AS,Lau C,Corley RB,Rothstein TL,Lund FE,Behrens TW,Marshak-Rothstein A","GEOID":"GSE6674","EXACT_SOURCE":"GSE6674_3086_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in B lymphocytes: control versus anti IgM.","DESCRIPTION_FULL":"We have previously shown that rheumatoid factors (RF) produced by Fas-deficient autoimmune-prone mice typically bind autologous IgG2a with remarkably low affinity. Nevertheless, B cells representative of this RF population proliferate vigorously in response IgG2a/chromatin immune complexes through a mechanism dependent on the sequential engagement of the BCR and Toll-like receptor 9 (TLR9). To more precisely address the role of both receptors in this response, we analyzed the signaling pathways activated in AM14 B cells stimulated with these complexes. We found that the BCR not only serves to direct the chromatin complex to an internal compartment where it can engage TLR9 but also transmits a suboptimal signal that in combination with the signals emanating from TLR9 leads to NF-kappa-B activation and proliferation. Importantly, engagement of both receptors leads to the upregulation of a group of gene products, not induced by the BCR or TLR9 alone, that include IL-2. These data indicate that autoreactive B cells, stimulated by a combination of BCR and TLR9 ligands, acquire functional properties that may contribute to the activation of additional cells involved in the autoimmune disease process."}
{"STANDARD_NAME":"GSE6674_UNSTIM_VS_CPG_STIM_BCELL_UP","SYSTEMATIC_NAME":"M6918","ORGANISM":"Mus musculus","PMID":"18025183","AUTHORS":"Busconi L,Bauer JW,Tumang JR,Laws A,Perkins-Mesires K,Tabor AS,Lau C,Corley RB,Rothstein TL,Lund FE,Behrens TW,Marshak-Rothstein A","GEOID":"GSE6674","EXACT_SOURCE":"GSE6674_3087_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in B lymphocytes: control versus CpG oligodeoxynucleotide 1826.","DESCRIPTION_FULL":"We have previously shown that rheumatoid factors (RF) produced by Fas-deficient autoimmune-prone mice typically bind autologous IgG2a with remarkably low affinity. Nevertheless, B cells representative of this RF population proliferate vigorously in response IgG2a/chromatin immune complexes through a mechanism dependent on the sequential engagement of the BCR and Toll-like receptor 9 (TLR9). To more precisely address the role of both receptors in this response, we analyzed the signaling pathways activated in AM14 B cells stimulated with these complexes. We found that the BCR not only serves to direct the chromatin complex to an internal compartment where it can engage TLR9 but also transmits a suboptimal signal that in combination with the signals emanating from TLR9 leads to NF-kappa-B activation and proliferation. Importantly, engagement of both receptors leads to the upregulation of a group of gene products, not induced by the BCR or TLR9 alone, that include IL-2. These data indicate that autoreactive B cells, stimulated by a combination of BCR and TLR9 ligands, acquire functional properties that may contribute to the activation of additional cells involved in the autoimmune disease process."}
{"STANDARD_NAME":"GSE6674_UNSTIM_VS_CPG_STIM_BCELL_DN","SYSTEMATIC_NAME":"M6919","ORGANISM":"Mus musculus","PMID":"18025183","AUTHORS":"Busconi L,Bauer JW,Tumang JR,Laws A,Perkins-Mesires K,Tabor AS,Lau C,Corley RB,Rothstein TL,Lund FE,Behrens TW,Marshak-Rothstein A","GEOID":"GSE6674","EXACT_SOURCE":"GSE6674_3087_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in B lymphocytes: control versus CpG oligodeoxynucleotide 1826.","DESCRIPTION_FULL":"We have previously shown that rheumatoid factors (RF) produced by Fas-deficient autoimmune-prone mice typically bind autologous IgG2a with remarkably low affinity. Nevertheless, B cells representative of this RF population proliferate vigorously in response IgG2a/chromatin immune complexes through a mechanism dependent on the sequential engagement of the BCR and Toll-like receptor 9 (TLR9). To more precisely address the role of both receptors in this response, we analyzed the signaling pathways activated in AM14 B cells stimulated with these complexes. We found that the BCR not only serves to direct the chromatin complex to an internal compartment where it can engage TLR9 but also transmits a suboptimal signal that in combination with the signals emanating from TLR9 leads to NF-kappa-B activation and proliferation. Importantly, engagement of both receptors leads to the upregulation of a group of gene products, not induced by the BCR or TLR9 alone, that include IL-2. These data indicate that autoreactive B cells, stimulated by a combination of BCR and TLR9 ligands, acquire functional properties that may contribute to the activation of additional cells involved in the autoimmune disease process."}
{"STANDARD_NAME":"GSE6674_UNSTIM_VS_PL2_3_STIM_BCELL_UP","SYSTEMATIC_NAME":"M6922","ORGANISM":"Mus musculus","PMID":"18025183","AUTHORS":"Busconi L,Bauer JW,Tumang JR,Laws A,Perkins-Mesires K,Tabor AS,Lau C,Corley RB,Rothstein TL,Lund FE,Behrens TW,Marshak-Rothstein A","GEOID":"GSE6674","EXACT_SOURCE":"GSE6674_3088_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in B lymphocytes: control versus PL2-3 (Chromatin IC).","DESCRIPTION_FULL":"We have previously shown that rheumatoid factors (RF) produced by Fas-deficient autoimmune-prone mice typically bind autologous IgG2a with remarkably low affinity. Nevertheless, B cells representative of this RF population proliferate vigorously in response IgG2a/chromatin immune complexes through a mechanism dependent on the sequential engagement of the BCR and Toll-like receptor 9 (TLR9). To more precisely address the role of both receptors in this response, we analyzed the signaling pathways activated in AM14 B cells stimulated with these complexes. We found that the BCR not only serves to direct the chromatin complex to an internal compartment where it can engage TLR9 but also transmits a suboptimal signal that in combination with the signals emanating from TLR9 leads to NF-kappa-B activation and proliferation. Importantly, engagement of both receptors leads to the upregulation of a group of gene products, not induced by the BCR or TLR9 alone, that include IL-2. These data indicate that autoreactive B cells, stimulated by a combination of BCR and TLR9 ligands, acquire functional properties that may contribute to the activation of additional cells involved in the autoimmune disease process."}
{"STANDARD_NAME":"GSE6674_UNSTIM_VS_PL2_3_STIM_BCELL_DN","SYSTEMATIC_NAME":"M6923","ORGANISM":"Mus musculus","PMID":"18025183","AUTHORS":"Busconi L,Bauer JW,Tumang JR,Laws A,Perkins-Mesires K,Tabor AS,Lau C,Corley RB,Rothstein TL,Lund FE,Behrens TW,Marshak-Rothstein A","GEOID":"GSE6674","EXACT_SOURCE":"GSE6674_3088_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in B lymphocytes: control versus PL2-3 (Chromatin IC).","DESCRIPTION_FULL":"We have previously shown that rheumatoid factors (RF) produced by Fas-deficient autoimmune-prone mice typically bind autologous IgG2a with remarkably low affinity. Nevertheless, B cells representative of this RF population proliferate vigorously in response IgG2a/chromatin immune complexes through a mechanism dependent on the sequential engagement of the BCR and Toll-like receptor 9 (TLR9). To more precisely address the role of both receptors in this response, we analyzed the signaling pathways activated in AM14 B cells stimulated with these complexes. We found that the BCR not only serves to direct the chromatin complex to an internal compartment where it can engage TLR9 but also transmits a suboptimal signal that in combination with the signals emanating from TLR9 leads to NF-kappa-B activation and proliferation. Importantly, engagement of both receptors leads to the upregulation of a group of gene products, not induced by the BCR or TLR9 alone, that include IL-2. These data indicate that autoreactive B cells, stimulated by a combination of BCR and TLR9 ligands, acquire functional properties that may contribute to the activation of additional cells involved in the autoimmune disease process."}
{"STANDARD_NAME":"GSE6674_UNSTIM_VS_ANTI_IGM_AND_CPG_STIM_BCELL_UP","SYSTEMATIC_NAME":"M6925","ORGANISM":"Mus musculus","PMID":"18025183","AUTHORS":"Busconi L,Bauer JW,Tumang JR,Laws A,Perkins-Mesires K,Tabor AS,Lau C,Corley RB,Rothstein TL,Lund FE,Behrens TW,Marshak-Rothstein A","GEOID":"GSE6674","EXACT_SOURCE":"GSE6674_3089_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in B lymphocytes: control versus anti IgM and CpG oligodeoxynucleotide 1826.","DESCRIPTION_FULL":"We have previously shown that rheumatoid factors (RF) produced by Fas-deficient autoimmune-prone mice typically bind autologous IgG2a with remarkably low affinity. Nevertheless, B cells representative of this RF population proliferate vigorously in response IgG2a/chromatin immune complexes through a mechanism dependent on the sequential engagement of the BCR and Toll-like receptor 9 (TLR9). To more precisely address the role of both receptors in this response, we analyzed the signaling pathways activated in AM14 B cells stimulated with these complexes. We found that the BCR not only serves to direct the chromatin complex to an internal compartment where it can engage TLR9 but also transmits a suboptimal signal that in combination with the signals emanating from TLR9 leads to NF-kappa-B activation and proliferation. Importantly, engagement of both receptors leads to the upregulation of a group of gene products, not induced by the BCR or TLR9 alone, that include IL-2. These data indicate that autoreactive B cells, stimulated by a combination of BCR and TLR9 ligands, acquire functional properties that may contribute to the activation of additional cells involved in the autoimmune disease process."}
{"STANDARD_NAME":"GSE6674_UNSTIM_VS_ANTI_IGM_AND_CPG_STIM_BCELL_DN","SYSTEMATIC_NAME":"M6926","ORGANISM":"Mus musculus","PMID":"18025183","AUTHORS":"Busconi L,Bauer JW,Tumang JR,Laws A,Perkins-Mesires K,Tabor AS,Lau C,Corley RB,Rothstein TL,Lund FE,Behrens TW,Marshak-Rothstein A","GEOID":"GSE6674","EXACT_SOURCE":"GSE6674_3089_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in B lymphocytes: control versus anti IgM and cell anti IgM and CpG oligodeoxynucleotide 1826.","DESCRIPTION_FULL":"We have previously shown that rheumatoid factors (RF) produced by Fas-deficient autoimmune-prone mice typically bind autologous IgG2a with remarkably low affinity. Nevertheless, B cells representative of this RF population proliferate vigorously in response IgG2a/chromatin immune complexes through a mechanism dependent on the sequential engagement of the BCR and Toll-like receptor 9 (TLR9). To more precisely address the role of both receptors in this response, we analyzed the signaling pathways activated in AM14 B cells stimulated with these complexes. We found that the BCR not only serves to direct the chromatin complex to an internal compartment where it can engage TLR9 but also transmits a suboptimal signal that in combination with the signals emanating from TLR9 leads to NF-kappa-B activation and proliferation. Importantly, engagement of both receptors leads to the upregulation of a group of gene products, not induced by the BCR or TLR9 alone, that include IL-2. These data indicate that autoreactive B cells, stimulated by a combination of BCR and TLR9 ligands, acquire functional properties that may contribute to the activation of additional cells involved in the autoimmune disease process."}
{"STANDARD_NAME":"GSE6674_ANTI_IGM_VS_CPG_STIM_BCELL_UP","SYSTEMATIC_NAME":"M6927","ORGANISM":"Mus musculus","PMID":"18025183","AUTHORS":"Busconi L,Bauer JW,Tumang JR,Laws A,Perkins-Mesires K,Tabor AS,Lau C,Corley RB,Rothstein TL,Lund FE,Behrens TW,Marshak-Rothstein A","GEOID":"GSE6674","EXACT_SOURCE":"GSE6674_3090_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in B lymphocytes: anti IgM versus CpG oligodeoxynucleotide 1826.","DESCRIPTION_FULL":"We have previously shown that rheumatoid factors (RF) produced by Fas-deficient autoimmune-prone mice typically bind autologous IgG2a with remarkably low affinity. Nevertheless, B cells representative of this RF population proliferate vigorously in response IgG2a/chromatin immune complexes through a mechanism dependent on the sequential engagement of the BCR and Toll-like receptor 9 (TLR9). To more precisely address the role of both receptors in this response, we analyzed the signaling pathways activated in AM14 B cells stimulated with these complexes. We found that the BCR not only serves to direct the chromatin complex to an internal compartment where it can engage TLR9 but also transmits a suboptimal signal that in combination with the signals emanating from TLR9 leads to NF-kappa-B activation and proliferation. Importantly, engagement of both receptors leads to the upregulation of a group of gene products, not induced by the BCR or TLR9 alone, that include IL-2. These data indicate that autoreactive B cells, stimulated by a combination of BCR and TLR9 ligands, acquire functional properties that may contribute to the activation of additional cells involved in the autoimmune disease process."}
{"STANDARD_NAME":"GSE6674_ANTI_IGM_VS_CPG_STIM_BCELL_DN","SYSTEMATIC_NAME":"M6928","ORGANISM":"Mus musculus","PMID":"18025183","AUTHORS":"Busconi L,Bauer JW,Tumang JR,Laws A,Perkins-Mesires K,Tabor AS,Lau C,Corley RB,Rothstein TL,Lund FE,Behrens TW,Marshak-Rothstein A","GEOID":"GSE6674","EXACT_SOURCE":"GSE6674_3090_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in B lymphocytes: anti IgM versus CpG oligodeoxynucleotide 1826.","DESCRIPTION_FULL":"We have previously shown that rheumatoid factors (RF) produced by Fas-deficient autoimmune-prone mice typically bind autologous IgG2a with remarkably low affinity. Nevertheless, B cells representative of this RF population proliferate vigorously in response IgG2a/chromatin immune complexes through a mechanism dependent on the sequential engagement of the BCR and Toll-like receptor 9 (TLR9). To more precisely address the role of both receptors in this response, we analyzed the signaling pathways activated in AM14 B cells stimulated with these complexes. We found that the BCR not only serves to direct the chromatin complex to an internal compartment where it can engage TLR9 but also transmits a suboptimal signal that in combination with the signals emanating from TLR9 leads to NF-kappa-B activation and proliferation. Importantly, engagement of both receptors leads to the upregulation of a group of gene products, not induced by the BCR or TLR9 alone, that include IL-2. These data indicate that autoreactive B cells, stimulated by a combination of BCR and TLR9 ligands, acquire functional properties that may contribute to the activation of additional cells involved in the autoimmune disease process."}
{"STANDARD_NAME":"GSE6674_ANTI_IGM_VS_PL2_3_STIM_BCELL_UP","SYSTEMATIC_NAME":"M6930","ORGANISM":"Mus musculus","PMID":"18025183","AUTHORS":"Busconi L,Bauer JW,Tumang JR,Laws A,Perkins-Mesires K,Tabor AS,Lau C,Corley RB,Rothstein TL,Lund FE,Behrens TW,Marshak-Rothstein A","GEOID":"GSE6674","EXACT_SOURCE":"GSE6674_3091_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in B lymphocytes: anti IgM versus PL2-3 (Chromatin IC).","DESCRIPTION_FULL":"We have previously shown that rheumatoid factors (RF) produced by Fas-deficient autoimmune-prone mice typically bind autologous IgG2a with remarkably low affinity. Nevertheless, B cells representative of this RF population proliferate vigorously in response IgG2a/chromatin immune complexes through a mechanism dependent on the sequential engagement of the BCR and Toll-like receptor 9 (TLR9). To more precisely address the role of both receptors in this response, we analyzed the signaling pathways activated in AM14 B cells stimulated with these complexes. We found that the BCR not only serves to direct the chromatin complex to an internal compartment where it can engage TLR9 but also transmits a suboptimal signal that in combination with the signals emanating from TLR9 leads to NF-kappa-B activation and proliferation. Importantly, engagement of both receptors leads to the upregulation of a group of gene products, not induced by the BCR or TLR9 alone, that include IL-2. These data indicate that autoreactive B cells, stimulated by a combination of BCR and TLR9 ligands, acquire functional properties that may contribute to the activation of additional cells involved in the autoimmune disease process."}
{"STANDARD_NAME":"GSE6674_ANTI_IGM_VS_PL2_3_STIM_BCELL_DN","SYSTEMATIC_NAME":"M6932","ORGANISM":"Mus musculus","PMID":"18025183","AUTHORS":"Busconi L,Bauer JW,Tumang JR,Laws A,Perkins-Mesires K,Tabor AS,Lau C,Corley RB,Rothstein TL,Lund FE,Behrens TW,Marshak-Rothstein A","GEOID":"GSE6674","EXACT_SOURCE":"GSE6674_3091_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in B lymphocytes: anti IgM versus PL2-3 (Chromatin IC).","DESCRIPTION_FULL":"We have previously shown that rheumatoid factors (RF) produced by Fas-deficient autoimmune-prone mice typically bind autologous IgG2a with remarkably low affinity. Nevertheless, B cells representative of this RF population proliferate vigorously in response IgG2a/chromatin immune complexes through a mechanism dependent on the sequential engagement of the BCR and Toll-like receptor 9 (TLR9). To more precisely address the role of both receptors in this response, we analyzed the signaling pathways activated in AM14 B cells stimulated with these complexes. We found that the BCR not only serves to direct the chromatin complex to an internal compartment where it can engage TLR9 but also transmits a suboptimal signal that in combination with the signals emanating from TLR9 leads to NF-kappa-B activation and proliferation. Importantly, engagement of both receptors leads to the upregulation of a group of gene products, not induced by the BCR or TLR9 alone, that include IL-2. These data indicate that autoreactive B cells, stimulated by a combination of BCR and TLR9 ligands, acquire functional properties that may contribute to the activation of additional cells involved in the autoimmune disease process."}
{"STANDARD_NAME":"GSE6674_ANTI_IGM_VS_ANTI_IGM_AND_CPG_STIM_BCELL_UP","SYSTEMATIC_NAME":"M6934","ORGANISM":"Mus musculus","PMID":"18025183","AUTHORS":"Busconi L,Bauer JW,Tumang JR,Laws A,Perkins-Mesires K,Tabor AS,Lau C,Corley RB,Rothstein TL,Lund FE,Behrens TW,Marshak-Rothstein A","GEOID":"GSE6674","EXACT_SOURCE":"GSE6674_3092_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in B lymphocytes: anti IgM versus anti IgM and CpG oligodeoxynucleotide 1826.","DESCRIPTION_FULL":"We have previously shown that rheumatoid factors (RF) produced by Fas-deficient autoimmune-prone mice typically bind autologous IgG2a with remarkably low affinity. Nevertheless, B cells representative of this RF population proliferate vigorously in response IgG2a/chromatin immune complexes through a mechanism dependent on the sequential engagement of the BCR and Toll-like receptor 9 (TLR9). To more precisely address the role of both receptors in this response, we analyzed the signaling pathways activated in AM14 B cells stimulated with these complexes. We found that the BCR not only serves to direct the chromatin complex to an internal compartment where it can engage TLR9 but also transmits a suboptimal signal that in combination with the signals emanating from TLR9 leads to NF-kappa-B activation and proliferation. Importantly, engagement of both receptors leads to the upregulation of a group of gene products, not induced by the BCR or TLR9 alone, that include IL-2. These data indicate that autoreactive B cells, stimulated by a combination of BCR and TLR9 ligands, acquire functional properties that may contribute to the activation of additional cells involved in the autoimmune disease process."}
{"STANDARD_NAME":"GSE6674_ANTI_IGM_VS_ANTI_IGM_AND_CPG_STIM_BCELL_DN","SYSTEMATIC_NAME":"M6935","ORGANISM":"Mus musculus","PMID":"18025183","AUTHORS":"Busconi L,Bauer JW,Tumang JR,Laws A,Perkins-Mesires K,Tabor AS,Lau C,Corley RB,Rothstein TL,Lund FE,Behrens TW,Marshak-Rothstein A","GEOID":"GSE6674","EXACT_SOURCE":"GSE6674_3092_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in B lymphocytes: anti IgM versus anti IgM and CpG oligodeoxynucleotide 1826.","DESCRIPTION_FULL":"We have previously shown that rheumatoid factors (RF) produced by Fas-deficient autoimmune-prone mice typically bind autologous IgG2a with remarkably low affinity. Nevertheless, B cells representative of this RF population proliferate vigorously in response IgG2a/chromatin immune complexes through a mechanism dependent on the sequential engagement of the BCR and Toll-like receptor 9 (TLR9). To more precisely address the role of both receptors in this response, we analyzed the signaling pathways activated in AM14 B cells stimulated with these complexes. We found that the BCR not only serves to direct the chromatin complex to an internal compartment where it can engage TLR9 but also transmits a suboptimal signal that in combination with the signals emanating from TLR9 leads to NF-kappa-B activation and proliferation. Importantly, engagement of both receptors leads to the upregulation of a group of gene products, not induced by the BCR or TLR9 alone, that include IL-2. These data indicate that autoreactive B cells, stimulated by a combination of BCR and TLR9 ligands, acquire functional properties that may contribute to the activation of additional cells involved in the autoimmune disease process."}
{"STANDARD_NAME":"GSE6674_CPG_VS_PL2_3_STIM_BCELL_UP","SYSTEMATIC_NAME":"M6936","ORGANISM":"Mus musculus","PMID":"18025183","AUTHORS":"Busconi L,Bauer JW,Tumang JR,Laws A,Perkins-Mesires K,Tabor AS,Lau C,Corley RB,Rothstein TL,Lund FE,Behrens TW,Marshak-Rothstein A","GEOID":"GSE6674","EXACT_SOURCE":"GSE6674_3093_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in B lymphocytes: CpG oligodeoxynucleotide 1826 versus PL2-3 (Chromatin IC).","DESCRIPTION_FULL":"We have previously shown that rheumatoid factors (RF) produced by Fas-deficient autoimmune-prone mice typically bind autologous IgG2a with remarkably low affinity. Nevertheless, B cells representative of this RF population proliferate vigorously in response IgG2a/chromatin immune complexes through a mechanism dependent on the sequential engagement of the BCR and Toll-like receptor 9 (TLR9). To more precisely address the role of both receptors in this response, we analyzed the signaling pathways activated in AM14 B cells stimulated with these complexes. We found that the BCR not only serves to direct the chromatin complex to an internal compartment where it can engage TLR9 but also transmits a suboptimal signal that in combination with the signals emanating from TLR9 leads to NF-kappa-B activation and proliferation. Importantly, engagement of both receptors leads to the upregulation of a group of gene products, not induced by the BCR or TLR9 alone, that include IL-2. These data indicate that autoreactive B cells, stimulated by a combination of BCR and TLR9 ligands, acquire functional properties that may contribute to the activation of additional cells involved in the autoimmune disease process."}
{"STANDARD_NAME":"GSE6674_CPG_VS_PL2_3_STIM_BCELL_DN","SYSTEMATIC_NAME":"M6938","ORGANISM":"Mus musculus","PMID":"18025183","AUTHORS":"Busconi L,Bauer JW,Tumang JR,Laws A,Perkins-Mesires K,Tabor AS,Lau C,Corley RB,Rothstein TL,Lund FE,Behrens TW,Marshak-Rothstein A","GEOID":"GSE6674","EXACT_SOURCE":"GSE6674_3093_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in B lymphocytes: CpG oligodeoxynucleotide 1826 versus PL2-3 (Chromatin IC).","DESCRIPTION_FULL":"We have previously shown that rheumatoid factors (RF) produced by Fas-deficient autoimmune-prone mice typically bind autologous IgG2a with remarkably low affinity. Nevertheless, B cells representative of this RF population proliferate vigorously in response IgG2a/chromatin immune complexes through a mechanism dependent on the sequential engagement of the BCR and Toll-like receptor 9 (TLR9). To more precisely address the role of both receptors in this response, we analyzed the signaling pathways activated in AM14 B cells stimulated with these complexes. We found that the BCR not only serves to direct the chromatin complex to an internal compartment where it can engage TLR9 but also transmits a suboptimal signal that in combination with the signals emanating from TLR9 leads to NF-kappa-B activation and proliferation. Importantly, engagement of both receptors leads to the upregulation of a group of gene products, not induced by the BCR or TLR9 alone, that include IL-2. These data indicate that autoreactive B cells, stimulated by a combination of BCR and TLR9 ligands, acquire functional properties that may contribute to the activation of additional cells involved in the autoimmune disease process."}
{"STANDARD_NAME":"GSE6674_CPG_VS_CPG_AND_ANTI_IGM_STIM_BCELL_UP","SYSTEMATIC_NAME":"M6940","ORGANISM":"Mus musculus","PMID":"18025183","AUTHORS":"Busconi L,Bauer JW,Tumang JR,Laws A,Perkins-Mesires K,Tabor AS,Lau C,Corley RB,Rothstein TL,Lund FE,Behrens TW,Marshak-Rothstein A","GEOID":"GSE6674","EXACT_SOURCE":"GSE6674_3094_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in B lymphocytes: CpG oligodeoxynucleotide 1826 versus anti IgM and CpG oligodeoxynucleotide 1826.","DESCRIPTION_FULL":"We have previously shown that rheumatoid factors (RF) produced by Fas-deficient autoimmune-prone mice typically bind autologous IgG2a with remarkably low affinity. Nevertheless, B cells representative of this RF population proliferate vigorously in response IgG2a/chromatin immune complexes through a mechanism dependent on the sequential engagement of the BCR and Toll-like receptor 9 (TLR9). To more precisely address the role of both receptors in this response, we analyzed the signaling pathways activated in AM14 B cells stimulated with these complexes. We found that the BCR not only serves to direct the chromatin complex to an internal compartment where it can engage TLR9 but also transmits a suboptimal signal that in combination with the signals emanating from TLR9 leads to NF-kappa-B activation and proliferation. Importantly, engagement of both receptors leads to the upregulation of a group of gene products, not induced by the BCR or TLR9 alone, that include IL-2. These data indicate that autoreactive B cells, stimulated by a combination of BCR and TLR9 ligands, acquire functional properties that may contribute to the activation of additional cells involved in the autoimmune disease process."}
{"STANDARD_NAME":"GSE6674_CPG_VS_CPG_AND_ANTI_IGM_STIM_BCELL_DN","SYSTEMATIC_NAME":"M6941","ORGANISM":"Mus musculus","PMID":"18025183","AUTHORS":"Busconi L,Bauer JW,Tumang JR,Laws A,Perkins-Mesires K,Tabor AS,Lau C,Corley RB,Rothstein TL,Lund FE,Behrens TW,Marshak-Rothstein A","GEOID":"GSE6674","EXACT_SOURCE":"GSE6674_3094_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in B lymphocytes: CpG oligodeoxynucleotide 1826 versus anti IgM and CpG oligodeoxynucleotide 1826.","DESCRIPTION_FULL":"We have previously shown that rheumatoid factors (RF) produced by Fas-deficient autoimmune-prone mice typically bind autologous IgG2a with remarkably low affinity. Nevertheless, B cells representative of this RF population proliferate vigorously in response IgG2a/chromatin immune complexes through a mechanism dependent on the sequential engagement of the BCR and Toll-like receptor 9 (TLR9). To more precisely address the role of both receptors in this response, we analyzed the signaling pathways activated in AM14 B cells stimulated with these complexes. We found that the BCR not only serves to direct the chromatin complex to an internal compartment where it can engage TLR9 but also transmits a suboptimal signal that in combination with the signals emanating from TLR9 leads to NF-kappa-B activation and proliferation. Importantly, engagement of both receptors leads to the upregulation of a group of gene products, not induced by the BCR or TLR9 alone, that include IL-2. These data indicate that autoreactive B cells, stimulated by a combination of BCR and TLR9 ligands, acquire functional properties that may contribute to the activation of additional cells involved in the autoimmune disease process."}
{"STANDARD_NAME":"GSE6674_PL2_3_VS_ANTI_IGM_AND_CPG_STIM_BCELL_UP","SYSTEMATIC_NAME":"M6942","ORGANISM":"Mus musculus","PMID":"18025183","AUTHORS":"Busconi L,Bauer JW,Tumang JR,Laws A,Perkins-Mesires K,Tabor AS,Lau C,Corley RB,Rothstein TL,Lund FE,Behrens TW,Marshak-Rothstein A","GEOID":"GSE6674","EXACT_SOURCE":"GSE6674_3095_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in B lymphocytes: PL2-3 (Chromatin IC) versus anti IgM and CpG oligodeoxynucleotide 1826.","DESCRIPTION_FULL":"We have previously shown that rheumatoid factors (RF) produced by Fas-deficient autoimmune-prone mice typically bind autologous IgG2a with remarkably low affinity. Nevertheless, B cells representative of this RF population proliferate vigorously in response IgG2a/chromatin immune complexes through a mechanism dependent on the sequential engagement of the BCR and Toll-like receptor 9 (TLR9). To more precisely address the role of both receptors in this response, we analyzed the signaling pathways activated in AM14 B cells stimulated with these complexes. We found that the BCR not only serves to direct the chromatin complex to an internal compartment where it can engage TLR9 but also transmits a suboptimal signal that in combination with the signals emanating from TLR9 leads to NF-kappa-B activation and proliferation. Importantly, engagement of both receptors leads to the upregulation of a group of gene products, not induced by the BCR or TLR9 alone, that include IL-2. These data indicate that autoreactive B cells, stimulated by a combination of BCR and TLR9 ligands, acquire functional properties that may contribute to the activation of additional cells involved in the autoimmune disease process."}
{"STANDARD_NAME":"GSE6674_PL2_3_VS_ANTI_IGM_AND_CPG_STIM_BCELL_DN","SYSTEMATIC_NAME":"M6943","ORGANISM":"Mus musculus","PMID":"18025183","AUTHORS":"Busconi L,Bauer JW,Tumang JR,Laws A,Perkins-Mesires K,Tabor AS,Lau C,Corley RB,Rothstein TL,Lund FE,Behrens TW,Marshak-Rothstein A","GEOID":"GSE6674","EXACT_SOURCE":"GSE6674_3095_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in B lymphocytes: PL2-3 (Chromatin IC) versus anti IgM and CpG oligodeoxynucleotide 1826.","DESCRIPTION_FULL":"We have previously shown that rheumatoid factors (RF) produced by Fas-deficient autoimmune-prone mice typically bind autologous IgG2a with remarkably low affinity. Nevertheless, B cells representative of this RF population proliferate vigorously in response IgG2a/chromatin immune complexes through a mechanism dependent on the sequential engagement of the BCR and Toll-like receptor 9 (TLR9). To more precisely address the role of both receptors in this response, we analyzed the signaling pathways activated in AM14 B cells stimulated with these complexes. We found that the BCR not only serves to direct the chromatin complex to an internal compartment where it can engage TLR9 but also transmits a suboptimal signal that in combination with the signals emanating from TLR9 leads to NF-kappa-B activation and proliferation. Importantly, engagement of both receptors leads to the upregulation of a group of gene products, not induced by the BCR or TLR9 alone, that include IL-2. These data indicate that autoreactive B cells, stimulated by a combination of BCR and TLR9 ligands, acquire functional properties that may contribute to the activation of additional cells involved in the autoimmune disease process."}
{"STANDARD_NAME":"GSE7831_UNSTIM_VS_CPG_STIM_PDC_1H_UP","SYSTEMATIC_NAME":"M6944","ORGANISM":"Mus musculus","PMID":"18029397","AUTHORS":"Iparraguirre A,Tobias JW,Hensley SE,Masek KS,Cavanagh LL,Rendl M,Hunter CA,Ertl HC,Andrian von UH,Weninger W","GEOID":"GSE7831","EXACT_SOURCE":"GSE7831_3531_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in plasmacytoit dendritic cells (1h): untreated versus CpG oligodeoxynucleotide 1826.","DESCRIPTION_FULL":"CpG 1826 binds to Toll-like receptor (TLR)9, whereas influenza virus PR8 activates pDC via TLR7. Differential stimulation of pDCs is expected to result in unique activation mechanism(s) leading to a different phenotypically and functionally matured pDC We used microarrays to detail the global programme of gene expression underlying the maturation process of pDC activated with CpG 1826 and influenza virus PR8. We identified a distinct expression profile of upregulated immunomediators."}
{"STANDARD_NAME":"GSE7831_UNSTIM_VS_CPG_STIM_PDC_1H_DN","SYSTEMATIC_NAME":"M6945","ORGANISM":"Mus musculus","PMID":"18029397","AUTHORS":"Iparraguirre A,Tobias JW,Hensley SE,Masek KS,Cavanagh LL,Rendl M,Hunter CA,Ertl HC,Andrian von UH,Weninger W","GEOID":"GSE7831","EXACT_SOURCE":"GSE7831_3531_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in plasmacytoit dendritic cells (1h): untreated versus CpG oligodeoxynucleotide 1826.","DESCRIPTION_FULL":"CpG 1826 binds to Toll-like receptor (TLR)9, whereas influenza virus PR8 activates pDC via TLR7. Differential stimulation of pDCs is expected to result in unique activation mechanism(s) leading to a different phenotypically and functionally matured pDC We used microarrays to detail the global programme of gene expression underlying the maturation process of pDC activated with CpG 1826 and influenza virus PR8. We identified a distinct expression profile of upregulated immunomediators."}
{"STANDARD_NAME":"GSE7831_UNSTIM_VS_INFLUENZA_STIM_PDC_1H_UP","SYSTEMATIC_NAME":"M6947","ORGANISM":"Mus musculus","PMID":"18029397","AUTHORS":"Iparraguirre A,Tobias JW,Hensley SE,Masek KS,Cavanagh LL,Rendl M,Hunter CA,Ertl HC,Andrian von UH,Weninger W","GEOID":"GSE7831","EXACT_SOURCE":"GSE7831_3532_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in plasmacytoid dendritic cells (1h): untreated versus influenza virus infection.","DESCRIPTION_FULL":"CpG 1826 binds to Toll-like receptor (TLR)9, whereas influenza virus PR8 activates pDC via TLR7. Differential stimulation of pDCs is expected to result in unique activation mechanism(s) leading to a different phenotypically and functionally matured pDC We used microarrays to detail the global programme of gene expression underlying the maturation process of pDC activated with CpG 1826 and influenza virus PR8. We identified a distinct expression profile of upregulated immunomediators."}
{"STANDARD_NAME":"GSE7831_UNSTIM_VS_INFLUENZA_STIM_PDC_1H_DN","SYSTEMATIC_NAME":"M6949","ORGANISM":"Mus musculus","PMID":"18029397","AUTHORS":"Iparraguirre A,Tobias JW,Hensley SE,Masek KS,Cavanagh LL,Rendl M,Hunter CA,Ertl HC,Andrian von UH,Weninger W","GEOID":"GSE7831","EXACT_SOURCE":"GSE7831_3532_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in plasmacytoid dendritic cells (1h): untreated versus influenza virus infection.","DESCRIPTION_FULL":"CpG 1826 binds to Toll-like receptor (TLR)9, whereas influenza virus PR8 activates pDC via TLR7. Differential stimulation of pDCs is expected to result in unique activation mechanism(s) leading to a different phenotypically and functionally matured pDC We used microarrays to detail the global programme of gene expression underlying the maturation process of pDC activated with CpG 1826 and influenza virus PR8. We identified a distinct expression profile of upregulated immunomediators."}
{"STANDARD_NAME":"GSE7831_CPG_VS_INFLUENZA_STIM_PDC_1H_UP","SYSTEMATIC_NAME":"M6950","ORGANISM":"Mus musculus","PMID":"18029397","AUTHORS":"Iparraguirre A,Tobias JW,Hensley SE,Masek KS,Cavanagh LL,Rendl M,Hunter CA,Ertl HC,Andrian von UH,Weninger W","GEOID":"GSE7831","EXACT_SOURCE":"GSE7831_3533_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in plasmacytoid dendritic cells (1h): CpG oligodeoxynucleotide 1826 versus influenza virus infection.","DESCRIPTION_FULL":"CpG 1826 binds to Toll-like receptor (TLR)9, whereas influenza virus PR8 activates pDC via TLR7. Differential stimulation of pDCs is expected to result in unique activation mechanism(s) leading to a different phenotypically and functionally matured pDC We used microarrays to detail the global programme of gene expression underlying the maturation process of pDC activated with CpG 1826 and influenza virus PR8. We identified a distinct expression profile of upregulated immunomediators."}
{"STANDARD_NAME":"GSE7831_CPG_VS_INFLUENZA_STIM_PDC_1H_DN","SYSTEMATIC_NAME":"M6952","ORGANISM":"Mus musculus","PMID":"18029397","AUTHORS":"Iparraguirre A,Tobias JW,Hensley SE,Masek KS,Cavanagh LL,Rendl M,Hunter CA,Ertl HC,Andrian von UH,Weninger W","GEOID":"GSE7831","EXACT_SOURCE":"GSE7831_3533_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in plasmacytoid dendritic cells (1h): CpG oligodeoxynucleotide 1826 versus influenza virus infection.","DESCRIPTION_FULL":"CpG 1826 binds to Toll-like receptor (TLR)9, whereas influenza virus PR8 activates pDC via TLR7. Differential stimulation of pDCs is expected to result in unique activation mechanism(s) leading to a different phenotypically and functionally matured pDC We used microarrays to detail the global programme of gene expression underlying the maturation process of pDC activated with CpG 1826 and influenza virus PR8. We identified a distinct expression profile of upregulated immunomediators."}
{"STANDARD_NAME":"GSE7831_UNSTIM_VS_CPG_STIM_PDC_4H_UP","SYSTEMATIC_NAME":"M6953","ORGANISM":"Mus musculus","PMID":"18029397","AUTHORS":"Iparraguirre A,Tobias JW,Hensley SE,Masek KS,Cavanagh LL,Rendl M,Hunter CA,Ertl HC,Andrian von UH,Weninger W","GEOID":"GSE7831","EXACT_SOURCE":"GSE7831_3534_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in plasmacytoit dendritic cells (4h): untreated versus CpG oligodeoxynucleotide 1826.","DESCRIPTION_FULL":"CpG 1826 binds to Toll-like receptor (TLR)9, whereas influenza virus PR8 activates pDC via TLR7. Differential stimulation of pDCs is expected to result in unique activation mechanism(s) leading to a different phenotypically and functionally matured pDC We used microarrays to detail the global programme of gene expression underlying the maturation process of pDC activated with CpG 1826 and influenza virus PR8. We identified a distinct expression profile of upregulated immunomediators."}
{"STANDARD_NAME":"GSE7831_UNSTIM_VS_CPG_STIM_PDC_4H_DN","SYSTEMATIC_NAME":"M6954","ORGANISM":"Mus musculus","PMID":"18029397","AUTHORS":"Iparraguirre A,Tobias JW,Hensley SE,Masek KS,Cavanagh LL,Rendl M,Hunter CA,Ertl HC,Andrian von UH,Weninger W","GEOID":"GSE7831","EXACT_SOURCE":"GSE7831_3534_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in plasmacytoit dendritic cells (4h): untreated versus CpG oligodeoxynucleotide 1826.","DESCRIPTION_FULL":"CpG 1826 binds to Toll-like receptor (TLR)9, whereas influenza virus PR8 activates pDC via TLR7. Differential stimulation of pDCs is expected to result in unique activation mechanism(s) leading to a different phenotypically and functionally matured pDC We used microarrays to detail the global programme of gene expression underlying the maturation process of pDC activated with CpG 1826 and influenza virus PR8. We identified a distinct expression profile of upregulated immunomediators."}
{"STANDARD_NAME":"GSE7831_UNSTIM_VS_INFLUENZA_STIM_PDC_4H_UP","SYSTEMATIC_NAME":"M6955","ORGANISM":"Mus musculus","PMID":"18029397","AUTHORS":"Iparraguirre A,Tobias JW,Hensley SE,Masek KS,Cavanagh LL,Rendl M,Hunter CA,Ertl HC,Andrian von UH,Weninger W","GEOID":"GSE7831","EXACT_SOURCE":"GSE7831_3535_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in plasmacytoid dendritic cells (4h): untreated versus influenza virus infection.","DESCRIPTION_FULL":"CpG 1826 binds to Toll-like receptor (TLR)9, whereas influenza virus PR8 activates pDC via TLR7. Differential stimulation of pDCs is expected to result in unique activation mechanism(s) leading to a different phenotypically and functionally matured pDC We used microarrays to detail the global programme of gene expression underlying the maturation process of pDC activated with CpG 1826 and influenza virus PR8. We identified a distinct expression profile of upregulated immunomediators."}
{"STANDARD_NAME":"GSE7831_UNSTIM_VS_INFLUENZA_STIM_PDC_4H_DN","SYSTEMATIC_NAME":"M6956","ORGANISM":"Mus musculus","PMID":"18029397","AUTHORS":"Iparraguirre A,Tobias JW,Hensley SE,Masek KS,Cavanagh LL,Rendl M,Hunter CA,Ertl HC,Andrian von UH,Weninger W","GEOID":"GSE7831","EXACT_SOURCE":"GSE7831_3535_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in plasmacytoid dendritic cells (4h): untreated versus influenza virus infection.","DESCRIPTION_FULL":"CpG 1826 binds to Toll-like receptor (TLR)9, whereas influenza virus PR8 activates pDC via TLR7. Differential stimulation of pDCs is expected to result in unique activation mechanism(s) leading to a different phenotypically and functionally matured pDC We used microarrays to detail the global programme of gene expression underlying the maturation process of pDC activated with CpG 1826 and influenza virus PR8. We identified a distinct expression profile of upregulated immunomediators."}
{"STANDARD_NAME":"GSE7831_CPG_VS_INFLUENZA_STIM_PDC_4H_UP","SYSTEMATIC_NAME":"M6958","ORGANISM":"Mus musculus","PMID":"18029397","AUTHORS":"Iparraguirre A,Tobias JW,Hensley SE,Masek KS,Cavanagh LL,Rendl M,Hunter CA,Ertl HC,Andrian von UH,Weninger W","GEOID":"GSE7831","EXACT_SOURCE":"GSE7831_3536_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in plasmacytoid dendritic cells (4h): CpG oligodeoxynucleotide 1826 versus influenza virus infection.","DESCRIPTION_FULL":"CpG 1826 binds to Toll-like receptor (TLR)9, whereas influenza virus PR8 activates pDC via TLR7. Differential stimulation of pDCs is expected to result in unique activation mechanism(s) leading to a different phenotypically and functionally matured pDC We used microarrays to detail the global programme of gene expression underlying the maturation process of pDC activated with CpG 1826 and influenza virus PR8. We identified a distinct expression profile of upregulated immunomediators."}
{"STANDARD_NAME":"GSE7831_CPG_VS_INFLUENZA_STIM_PDC_4H_DN","SYSTEMATIC_NAME":"M6959","ORGANISM":"Mus musculus","PMID":"18029397","AUTHORS":"Iparraguirre A,Tobias JW,Hensley SE,Masek KS,Cavanagh LL,Rendl M,Hunter CA,Ertl HC,Andrian von UH,Weninger W","GEOID":"GSE7831","EXACT_SOURCE":"GSE7831_3536_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in plasmacytoid dendritic cells (4h): CpG oligodeoxynucleotide 1826 versus influenza virus infection.","DESCRIPTION_FULL":"CpG 1826 binds to Toll-like receptor (TLR)9, whereas influenza virus PR8 activates pDC via TLR7. Differential stimulation of pDCs is expected to result in unique activation mechanism(s) leading to a different phenotypically and functionally matured pDC We used microarrays to detail the global programme of gene expression underlying the maturation process of pDC activated with CpG 1826 and influenza virus PR8. We identified a distinct expression profile of upregulated immunomediators."}
{"STANDARD_NAME":"GSE7831_1H_VS_4H_CPG_STIM_PDC_UP","SYSTEMATIC_NAME":"M6960","ORGANISM":"Mus musculus","PMID":"18029397","AUTHORS":"Iparraguirre A,Tobias JW,Hensley SE,Masek KS,Cavanagh LL,Rendl M,Hunter CA,Ertl HC,Andrian von UH,Weninger W","GEOID":"GSE7831","EXACT_SOURCE":"GSE7831_3537_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in plasmacytoid dendritic cells in response to CpG oligodeoxynucleotide 1826: 1h versus 4h.","DESCRIPTION_FULL":"CpG 1826 binds to Toll-like receptor (TLR)9, whereas influenza virus PR8 activates pDC via TLR7. Differential stimulation of pDCs is expected to result in unique activation mechanism(s) leading to a different phenotypically and functionally matured pDC We used microarrays to detail the global programme of gene expression underlying the maturation process of pDC activated with CpG 1826 and influenza virus PR8. We identified a distinct expression profile of upregulated immunomediators."}
{"STANDARD_NAME":"GSE7831_1H_VS_4H_CPG_STIM_PDC_DN","SYSTEMATIC_NAME":"M6961","ORGANISM":"Mus musculus","PMID":"18029397","AUTHORS":"Iparraguirre A,Tobias JW,Hensley SE,Masek KS,Cavanagh LL,Rendl M,Hunter CA,Ertl HC,Andrian von UH,Weninger W","GEOID":"GSE7831","EXACT_SOURCE":"GSE7831_3537_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in plasmacytoid dendritic cells in response to CpG oligodeoxynucleotide 1826: 1h versus 4h.","DESCRIPTION_FULL":"CpG 1826 binds to Toll-like receptor (TLR)9, whereas influenza virus PR8 activates pDC via TLR7. Differential stimulation of pDCs is expected to result in unique activation mechanism(s) leading to a different phenotypically and functionally matured pDC We used microarrays to detail the global programme of gene expression underlying the maturation process of pDC activated with CpG 1826 and influenza virus PR8. We identified a distinct expression profile of upregulated immunomediators."}
{"STANDARD_NAME":"GSE7831_1H_VS_4H_INFLUENZA_STIM_PDC_UP","SYSTEMATIC_NAME":"M6963","ORGANISM":"Mus musculus","PMID":"18029397","AUTHORS":"Iparraguirre A,Tobias JW,Hensley SE,Masek KS,Cavanagh LL,Rendl M,Hunter CA,Ertl HC,Andrian von UH,Weninger W","GEOID":"GSE7831","EXACT_SOURCE":"GSE7831_3538_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in plasmacytoid dendritic cells in response to influenza virus infection: 1h versus 4h.","DESCRIPTION_FULL":"CpG 1826 binds to Toll-like receptor (TLR)9, whereas influenza virus PR8 activates pDC via TLR7. Differential stimulation of pDCs is expected to result in unique activation mechanism(s) leading to a different phenotypically and functionally matured pDC We used microarrays to detail the global programme of gene expression underlying the maturation process of pDC activated with CpG 1826 and influenza virus PR8. We identified a distinct expression profile of upregulated immunomediators."}
{"STANDARD_NAME":"GSE7831_1H_VS_4H_INFLUENZA_STIM_PDC_DN","SYSTEMATIC_NAME":"M6964","ORGANISM":"Mus musculus","PMID":"18029397","AUTHORS":"Iparraguirre A,Tobias JW,Hensley SE,Masek KS,Cavanagh LL,Rendl M,Hunter CA,Ertl HC,Andrian von UH,Weninger W","GEOID":"GSE7831","EXACT_SOURCE":"GSE7831_3538_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in plasmacytoid dendritic cells in response to influenza virus infection: 1h versus 4h.","DESCRIPTION_FULL":"CpG 1826 binds to Toll-like receptor (TLR)9, whereas influenza virus PR8 activates pDC via TLR7. Differential stimulation of pDCs is expected to result in unique activation mechanism(s) leading to a different phenotypically and functionally matured pDC We used microarrays to detail the global programme of gene expression underlying the maturation process of pDC activated with CpG 1826 and influenza virus PR8. We identified a distinct expression profile of upregulated immunomediators."}
{"STANDARD_NAME":"GSE9239_CTRL_VS_TNF_INHIBITOR_TREATED_DC_UP","SYSTEMATIC_NAME":"M6965","ORGANISM":"Homo sapiens","PMID":"18039949","AUTHORS":"Zaba LC,Cardinale I,Gilleaudeau P,Sullivan-Whalen M,Suárez-Fariñas M,Fariñas Suárez M,Fuentes-Duculan J,Novitskaya I,Khatcherian A,Bluth MJ,Lowes MA,Krueger JG","GEOID":"GSE9239","EXACT_SOURCE":"GSE9239_2477_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in monocyte-derived dendritic cells: control versus TNF [GeneID=7124] inhibitor etanercept.","DESCRIPTION_FULL":"The process for making monocyte derived DCs (moDCs) has been previously described (46). All analysis was performed on “day 5” immature DCs. Etanercept 10mg/mL was added to experimental wells on days 0, 2, and 4. We chose this concentration of etanercept as it approximates the plasma concentration of drug when given 50mg BIW."}
{"STANDARD_NAME":"GSE9239_CTRL_VS_TNF_INHIBITOR_TREATED_DC_DN","SYSTEMATIC_NAME":"M6966","ORGANISM":"Homo sapiens","PMID":"18039949","AUTHORS":"Zaba LC,Cardinale I,Gilleaudeau P,Sullivan-Whalen M,Suárez-Fariñas M,Fariñas Suárez M,Fuentes-Duculan J,Novitskaya I,Khatcherian A,Bluth MJ,Lowes MA,Krueger JG","GEOID":"GSE9239","EXACT_SOURCE":"GSE9239_2477_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in monocyte-derived dendritic cells: control versus TNF [GeneID=7124] inhibitor etanercept.","DESCRIPTION_FULL":"The process for making monocyte derived DCs (moDCs) has been previously described (46). All analysis was performed on “day 5” immature DCs. Etanercept 10mg/mL was added to experimental wells on days 0, 2, and 4. We chose this concentration of etanercept as it approximates the plasma concentration of drug when given 50mg BIW."}
{"STANDARD_NAME":"GSE8621_UNSTIM_VS_LPS_STIM_MACROPHAGE_UP","SYSTEMATIC_NAME":"M6970","ORGANISM":"Mus musculus","PMID":"18086374","AUTHORS":"Mages J,Dietrich H,Lang R","GEOID":"GSE8621","EXACT_SOURCE":"GSE8621_3518_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in naïve macrophages: untreated versus LPS.","DESCRIPTION_FULL":"Among the multiple mechanisms that control the intensity and duration of macrophage activation, the development of a state of refractoriness to a second stimulation in cells treated with LPS has long been recognized. Release of inhibitory cytokines and alterations in intracellular signaling pathways may be involved in the development of LPS tolerance. Although a number of molecules have been implicated, a detailed picture of the molecular changes in LPS tolerance is still missing. We have used a genome-wide gene expression analysis approach to (i) define which fraction of LPS target genes are subject to tolerance induction and (ii) identify genes that are expressed at high levels in tolerant macrophages. Our data show that in LPS tolerant macrophages the vast majority of LPS-induced gene expression is abrogated. The extent of tolerance induction varies for individual genes, and a small subset appears to be excepted. Compared to other negative control mechanisms of macrophages, e.g. IL-10-induced deactivation, LPS-tolerance inhibits a much wider range of transcriptional targets. Some previously described negative regulators of TLR-signaling (e.g. IRAK-M) were confirmed as expressed at higher levels in LPS-tolerant macrophages. In addition, we discuss other potential players in LPS tolerance identified in this group of genes."}
{"STANDARD_NAME":"GSE8621_UNSTIM_VS_LPS_STIM_MACROPHAGE_DN","SYSTEMATIC_NAME":"M6971","ORGANISM":"Mus musculus","PMID":"18086374","AUTHORS":"Mages J,Dietrich H,Lang R","GEOID":"GSE8621","EXACT_SOURCE":"GSE8621_3518_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in naïve macrophages: untreated versus LPS.","DESCRIPTION_FULL":"Among the multiple mechanisms that control the intensity and duration of macrophage activation, the development of a state of refractoriness to a second stimulation in cells treated with LPS has long been recognized. Release of inhibitory cytokines and alterations in intracellular signaling pathways may be involved in the development of LPS tolerance. Although a number of molecules have been implicated, a detailed picture of the molecular changes in LPS tolerance is still missing. We have used a genome-wide gene expression analysis approach to (i) define which fraction of LPS target genes are subject to tolerance induction and (ii) identify genes that are expressed at high levels in tolerant macrophages. Our data show that in LPS tolerant macrophages the vast majority of LPS-induced gene expression is abrogated. The extent of tolerance induction varies for individual genes, and a small subset appears to be excepted. Compared to other negative control mechanisms of macrophages, e.g. IL-10-induced deactivation, LPS-tolerance inhibits a much wider range of transcriptional targets. Some previously described negative regulators of TLR-signaling (e.g. IRAK-M) were confirmed as expressed at higher levels in LPS-tolerant macrophages. In addition, we discuss other potential players in LPS tolerance identified in this group of genes."}
{"STANDARD_NAME":"GSE8621_LPS_PRIMED_UNSTIM_VS_LPS_PRIMED_AND_LPS_STIM_MACROPHAGE_UP","SYSTEMATIC_NAME":"M6973","ORGANISM":"Mus musculus","PMID":"18086374","AUTHORS":"Mages J,Dietrich H,Lang R","GEOID":"GSE8621","EXACT_SOURCE":"GSE8621_3519_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in tolerant microphages: untreated versus LPS.","DESCRIPTION_FULL":"Among the multiple mechanisms that control the intensity and duration of macrophage activation, the development of a state of refractoriness to a second stimulation in cells treated with LPS has long been recognized. Release of inhibitory cytokines and alterations in intracellular signaling pathways may be involved in the development of LPS tolerance. Although a number of molecules have been implicated, a detailed picture of the molecular changes in LPS tolerance is still missing. We have used a genome-wide gene expression analysis approach to (i) define which fraction of LPS target genes are subject to tolerance induction and (ii) identify genes that are expressed at high levels in tolerant macrophages. Our data show that in LPS tolerant macrophages the vast majority of LPS-induced gene expression is abrogated. The extent of tolerance induction varies for individual genes, and a small subset appears to be excepted. Compared to other negative control mechanisms of macrophages, e.g. IL-10-induced deactivation, LPS-tolerance inhibits a much wider range of transcriptional targets. Some previously described negative regulators of TLR-signaling (e.g. IRAK-M) were confirmed as expressed at higher levels in LPS-tolerant macrophages. In addition, we discuss other potential players in LPS tolerance identified in this group of genes."}
{"STANDARD_NAME":"GSE8621_LPS_PRIMED_UNSTIM_VS_LPS_PRIMED_AND_LPS_STIM_MACROPHAGE_DN","SYSTEMATIC_NAME":"M6975","ORGANISM":"Mus musculus","PMID":"18086374","AUTHORS":"Mages J,Dietrich H,Lang R","GEOID":"GSE8621","EXACT_SOURCE":"GSE8621_3519_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in tolerant microphages: untreated versus LPS.","DESCRIPTION_FULL":"Among the multiple mechanisms that control the intensity and duration of macrophage activation, the development of a state of refractoriness to a second stimulation in cells treated with LPS has long been recognized. Release of inhibitory cytokines and alterations in intracellular signaling pathways may be involved in the development of LPS tolerance. Although a number of molecules have been implicated, a detailed picture of the molecular changes in LPS tolerance is still missing. We have used a genome-wide gene expression analysis approach to (i) define which fraction of LPS target genes are subject to tolerance induction and (ii) identify genes that are expressed at high levels in tolerant macrophages. Our data show that in LPS tolerant macrophages the vast majority of LPS-induced gene expression is abrogated. The extent of tolerance induction varies for individual genes, and a small subset appears to be excepted. Compared to other negative control mechanisms of macrophages, e.g. IL-10-induced deactivation, LPS-tolerance inhibits a much wider range of transcriptional targets. Some previously described negative regulators of TLR-signaling (e.g. IRAK-M) were confirmed as expressed at higher levels in LPS-tolerant macrophages. In addition, we discuss other potential players in LPS tolerance identified in this group of genes."}
{"STANDARD_NAME":"GSE8621_UNSTIM_VS_LPS_PRIMED_UNSTIM_MACROPHAGE_UP","SYSTEMATIC_NAME":"M6978","ORGANISM":"Mus musculus","PMID":"18086374","AUTHORS":"Mages J,Dietrich H,Lang R","GEOID":"GSE8621","EXACT_SOURCE":"GSE8621_3520_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in untreated macrophages: naïve versus tolerant.","DESCRIPTION_FULL":"Among the multiple mechanisms that control the intensity and duration of macrophage activation, the development of a state of refractoriness to a second stimulation in cells treated with LPS has long been recognized. Release of inhibitory cytokines and alterations in intracellular signaling pathways may be involved in the development of LPS tolerance. Although a number of molecules have been implicated, a detailed picture of the molecular changes in LPS tolerance is still missing. We have used a genome-wide gene expression analysis approach to (i) define which fraction of LPS target genes are subject to tolerance induction and (ii) identify genes that are expressed at high levels in tolerant macrophages. Our data show that in LPS tolerant macrophages the vast majority of LPS-induced gene expression is abrogated. The extent of tolerance induction varies for individual genes, and a small subset appears to be excepted. Compared to other negative control mechanisms of macrophages, e.g. IL-10-induced deactivation, LPS-tolerance inhibits a much wider range of transcriptional targets. Some previously described negative regulators of TLR-signaling (e.g. IRAK-M) were confirmed as expressed at higher levels in LPS-tolerant macrophages. In addition, we discuss other potential players in LPS tolerance identified in this group of genes."}
{"STANDARD_NAME":"GSE8621_UNSTIM_VS_LPS_PRIMED_UNSTIM_MACROPHAGE_DN","SYSTEMATIC_NAME":"M6980","ORGANISM":"Mus musculus","PMID":"18086374","AUTHORS":"Mages J,Dietrich H,Lang R","GEOID":"GSE8621","EXACT_SOURCE":"GSE8621_3520_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in untreated macrophages: naïve versus tolerant.","DESCRIPTION_FULL":"Among the multiple mechanisms that control the intensity and duration of macrophage activation, the development of a state of refractoriness to a second stimulation in cells treated with LPS has long been recognized. Release of inhibitory cytokines and alterations in intracellular signaling pathways may be involved in the development of LPS tolerance. Although a number of molecules have been implicated, a detailed picture of the molecular changes in LPS tolerance is still missing. We have used a genome-wide gene expression analysis approach to (i) define which fraction of LPS target genes are subject to tolerance induction and (ii) identify genes that are expressed at high levels in tolerant macrophages. Our data show that in LPS tolerant macrophages the vast majority of LPS-induced gene expression is abrogated. The extent of tolerance induction varies for individual genes, and a small subset appears to be excepted. Compared to other negative control mechanisms of macrophages, e.g. IL-10-induced deactivation, LPS-tolerance inhibits a much wider range of transcriptional targets. Some previously described negative regulators of TLR-signaling (e.g. IRAK-M) were confirmed as expressed at higher levels in LPS-tolerant macrophages. In addition, we discuss other potential players in LPS tolerance identified in this group of genes."}
{"STANDARD_NAME":"GSE8621_LPS_STIM_VS_LPS_PRIMED_AND_LPS_STIM_MACROPHAGE_UP","SYSTEMATIC_NAME":"M6982","ORGANISM":"Mus musculus","PMID":"18086374","AUTHORS":"Mages J,Dietrich H,Lang R","GEOID":"GSE8621","EXACT_SOURCE":"GSE8621_3521_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages in response to LPS: naïve versus tolerant.","DESCRIPTION_FULL":"Among the multiple mechanisms that control the intensity and duration of macrophage activation, the development of a state of refractoriness to a second stimulation in cells treated with LPS has long been recognized. Release of inhibitory cytokines and alterations in intracellular signaling pathways may be involved in the development of LPS tolerance. Although a number of molecules have been implicated, a detailed picture of the molecular changes in LPS tolerance is still missing. We have used a genome-wide gene expression analysis approach to (i) define which fraction of LPS target genes are subject to tolerance induction and (ii) identify genes that are expressed at high levels in tolerant macrophages. Our data show that in LPS tolerant macrophages the vast majority of LPS-induced gene expression is abrogated. The extent of tolerance induction varies for individual genes, and a small subset appears to be excepted. Compared to other negative control mechanisms of macrophages, e.g. IL-10-induced deactivation, LPS-tolerance inhibits a much wider range of transcriptional targets. Some previously described negative regulators of TLR-signaling (e.g. IRAK-M) were confirmed as expressed at higher levels in LPS-tolerant macrophages. In addition, we discuss other potential players in LPS tolerance identified in this group of genes."}
{"STANDARD_NAME":"GSE8621_LPS_STIM_VS_LPS_PRIMED_AND_LPS_STIM_MACROPHAGE_DN","SYSTEMATIC_NAME":"M6983","ORGANISM":"Mus musculus","PMID":"18086374","AUTHORS":"Mages J,Dietrich H,Lang R","GEOID":"GSE8621","EXACT_SOURCE":"GSE8621_3521_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages in response to LPS: naïve versus tolerant.","DESCRIPTION_FULL":"Among the multiple mechanisms that control the intensity and duration of macrophage activation, the development of a state of refractoriness to a second stimulation in cells treated with LPS has long been recognized. Release of inhibitory cytokines and alterations in intracellular signaling pathways may be involved in the development of LPS tolerance. Although a number of molecules have been implicated, a detailed picture of the molecular changes in LPS tolerance is still missing. We have used a genome-wide gene expression analysis approach to (i) define which fraction of LPS target genes are subject to tolerance induction and (ii) identify genes that are expressed at high levels in tolerant macrophages. Our data show that in LPS tolerant macrophages the vast majority of LPS-induced gene expression is abrogated. The extent of tolerance induction varies for individual genes, and a small subset appears to be excepted. Compared to other negative control mechanisms of macrophages, e.g. IL-10-induced deactivation, LPS-tolerance inhibits a much wider range of transcriptional targets. Some previously described negative regulators of TLR-signaling (e.g. IRAK-M) were confirmed as expressed at higher levels in LPS-tolerant macrophages. In addition, we discuss other potential players in LPS tolerance identified in this group of genes."}
{"STANDARD_NAME":"GSE8621_UNSTIM_VS_LPS_PRIMED_AND_LPS_STIM_MACROPHAGE_UP","SYSTEMATIC_NAME":"M6986","ORGANISM":"Mus musculus","PMID":"18086374","AUTHORS":"Mages J,Dietrich H,Lang R","GEOID":"GSE8621","EXACT_SOURCE":"GSE8621_3522_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in naïve untreated macrophages versus tolerant macrophages stimulated by LPS.","DESCRIPTION_FULL":"Among the multiple mechanisms that control the intensity and duration of macrophage activation, the development of a state of refractoriness to a second stimulation in cells treated with LPS has long been recognized. Release of inhibitory cytokines and alterations in intracellular signaling pathways may be involved in the development of LPS tolerance. Although a number of molecules have been implicated, a detailed picture of the molecular changes in LPS tolerance is still missing. We have used a genome-wide gene expression analysis approach to (i) define which fraction of LPS target genes are subject to tolerance induction and (ii) identify genes that are expressed at high levels in tolerant macrophages. Our data show that in LPS tolerant macrophages the vast majority of LPS-induced gene expression is abrogated. The extent of tolerance induction varies for individual genes, and a small subset appears to be excepted. Compared to other negative control mechanisms of macrophages, e.g. IL-10-induced deactivation, LPS-tolerance inhibits a much wider range of transcriptional targets. Some previously described negative regulators of TLR-signaling (e.g. IRAK-M) were confirmed as expressed at higher levels in LPS-tolerant macrophages. In addition, we discuss other potential players in LPS tolerance identified in this group of genes."}
{"STANDARD_NAME":"GSE8621_UNSTIM_VS_LPS_PRIMED_AND_LPS_STIM_MACROPHAGE_DN","SYSTEMATIC_NAME":"M6987","ORGANISM":"Mus musculus","PMID":"18086374","AUTHORS":"Mages J,Dietrich H,Lang R","GEOID":"GSE8621","EXACT_SOURCE":"GSE8621_3522_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in naïve untreated macrophages versus tolerant macrophages stimulated by LPS.","DESCRIPTION_FULL":"Among the multiple mechanisms that control the intensity and duration of macrophage activation, the development of a state of refractoriness to a second stimulation in cells treated with LPS has long been recognized. Release of inhibitory cytokines and alterations in intracellular signaling pathways may be involved in the development of LPS tolerance. Although a number of molecules have been implicated, a detailed picture of the molecular changes in LPS tolerance is still missing. We have used a genome-wide gene expression analysis approach to (i) define which fraction of LPS target genes are subject to tolerance induction and (ii) identify genes that are expressed at high levels in tolerant macrophages. Our data show that in LPS tolerant macrophages the vast majority of LPS-induced gene expression is abrogated. The extent of tolerance induction varies for individual genes, and a small subset appears to be excepted. Compared to other negative control mechanisms of macrophages, e.g. IL-10-induced deactivation, LPS-tolerance inhibits a much wider range of transcriptional targets. Some previously described negative regulators of TLR-signaling (e.g. IRAK-M) were confirmed as expressed at higher levels in LPS-tolerant macrophages. In addition, we discuss other potential players in LPS tolerance identified in this group of genes."}
{"STANDARD_NAME":"GSE9878_CTRL_VS_EBF_TRANSDUCED_PAX5_KO_PRO_BCELL_UP","SYSTEMATIC_NAME":"M6988","ORGANISM":"Mus musculus","PMID":"18176567","AUTHORS":"Pongubala JM,Northrup DL,Lancki DW,Medina KL,Treiber T,Bertolino E,Thomas M,Grosschedl R,Allman D,Singh H","GEOID":"GSE9878","EXACT_SOURCE":"GSE9878_2935_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in pro-B cells with PAX5 [GeneID=5079] knockout: control versus over-expressing EBF1 [GeneID=1879].","DESCRIPTION_FULL":"We have determined that sustained expression of EBF suppresses alternate lineage genes independently of Pax5."}
{"STANDARD_NAME":"GSE9878_CTRL_VS_EBF_TRANSDUCED_PAX5_KO_PRO_BCELL_DN","SYSTEMATIC_NAME":"M6989","ORGANISM":"Mus musculus","PMID":"18176567","AUTHORS":"Pongubala JM,Northrup DL,Lancki DW,Medina KL,Treiber T,Bertolino E,Thomas M,Grosschedl R,Allman D,Singh H","GEOID":"GSE9878","EXACT_SOURCE":"GSE9878_2935_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in pro-B cells with PAX5 [GeneID=5079] knockout: control versus over-expressing EBF1 [GeneID=1879].","DESCRIPTION_FULL":"We have determined that sustained expression of EBF suppresses alternate lineage genes independently of Pax5."}
{"STANDARD_NAME":"GSE5503_LIVER_DC_VS_MLN_DC_ACTIVATED_ALLOGENIC_TCELL_UP","SYSTEMATIC_NAME":"M6990","ORGANISM":"Mus musculus","PMID":"18178870","AUTHORS":"Kim TD,Terwey TH,Zakrzewski JL,Suh D,Kochman AA,Chen ME,King CG,Borsotti C,Grubin J,Smith OM,Heller G,Liu C,Murphy GF,Alpdogan O,Brink den van MR","GEOID":"GSE5503","EXACT_SOURCE":"GSE5503_3156_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in allogeneic T cells after stimulation with dendritic cells from: liver versus mesenteric lymph nodes (mLN).","DESCRIPTION_FULL":"Transcriptional response of murine allogeneic T cells (B10.BR) after stimulation with different organ-derived (spleen, liver, peripheral and mesenteric lymph nodes) dendritic cells (C57BL/6) in vitro"}
{"STANDARD_NAME":"GSE5503_LIVER_DC_VS_MLN_DC_ACTIVATED_ALLOGENIC_TCELL_DN","SYSTEMATIC_NAME":"M6991","ORGANISM":"Mus musculus","PMID":"18178870","AUTHORS":"Kim TD,Terwey TH,Zakrzewski JL,Suh D,Kochman AA,Chen ME,King CG,Borsotti C,Grubin J,Smith OM,Heller G,Liu C,Murphy GF,Alpdogan O,Brink den van MR","GEOID":"GSE5503","EXACT_SOURCE":"GSE5503_3156_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in allogeneic T cells after stimulation with dendritic cells from: liver versus mesenteric lymph nodes (mLN).","DESCRIPTION_FULL":"Transcriptional response of murine allogeneic T cells (B10.BR) after stimulation with different organ-derived (spleen, liver, peripheral and mesenteric lymph nodes) dendritic cells (C57BL/6) in vitro"}
{"STANDARD_NAME":"GSE5503_LIVER_DC_VS_PLN_DC_ACTIVATED_ALLOGENIC_TCELL_UP","SYSTEMATIC_NAME":"M6992","ORGANISM":"Mus musculus","PMID":"18178870","AUTHORS":"Kim TD,Terwey TH,Zakrzewski JL,Suh D,Kochman AA,Chen ME,King CG,Borsotti C,Grubin J,Smith OM,Heller G,Liu C,Murphy GF,Alpdogan O,Brink den van MR","GEOID":"GSE5503","EXACT_SOURCE":"GSE5503_3157_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in allogeneic T cells after stimulation with dendritic cells from: liver versus peripheral lymph nodes (pLN).","DESCRIPTION_FULL":"Transcriptional response of murine allogeneic T cells (B10.BR) after stimulation with different organ-derived (spleen, liver, peripheral and mesenteric lymph nodes) dendritic cells (C57BL/6) in vitro"}
{"STANDARD_NAME":"GSE5503_LIVER_DC_VS_PLN_DC_ACTIVATED_ALLOGENIC_TCELL_DN","SYSTEMATIC_NAME":"M6993","ORGANISM":"Mus musculus","PMID":"18178870","AUTHORS":"Kim TD,Terwey TH,Zakrzewski JL,Suh D,Kochman AA,Chen ME,King CG,Borsotti C,Grubin J,Smith OM,Heller G,Liu C,Murphy GF,Alpdogan O,Brink den van MR","GEOID":"GSE5503","EXACT_SOURCE":"GSE5503_3157_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in allogeneic T cells after stimulation with dendritic cells from: liver versus peripheral lymph nodes (pLN).","DESCRIPTION_FULL":"Transcriptional response of murine allogeneic T cells (B10.BR) after stimulation with different organ-derived (spleen, liver, peripheral and mesenteric lymph nodes) dendritic cells (C57BL/6) in vitro"}
{"STANDARD_NAME":"GSE5503_LIVER_DC_VS_SPLEEN_DC_ACTIVATED_ALLOGENIC_TCELL_UP","SYSTEMATIC_NAME":"M6996","ORGANISM":"Mus musculus","PMID":"18178870","AUTHORS":"Kim TD,Terwey TH,Zakrzewski JL,Suh D,Kochman AA,Chen ME,King CG,Borsotti C,Grubin J,Smith OM,Heller G,Liu C,Murphy GF,Alpdogan O,Brink den van MR","GEOID":"GSE5503","EXACT_SOURCE":"GSE5503_3158_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in allogeneic T cells after stimulation with dendritic cells from: liver versus spleen.","DESCRIPTION_FULL":"Transcriptional response of murine allogeneic T cells (B10.BR) after stimulation with different organ-derived (spleen, liver, peripheral and mesenteric lymph nodes) dendritic cells (C57BL/6) in vitro"}
{"STANDARD_NAME":"GSE5503_LIVER_DC_VS_SPLEEN_DC_ACTIVATED_ALLOGENIC_TCELL_DN","SYSTEMATIC_NAME":"M6997","ORGANISM":"Mus musculus","PMID":"18178870","AUTHORS":"Kim TD,Terwey TH,Zakrzewski JL,Suh D,Kochman AA,Chen ME,King CG,Borsotti C,Grubin J,Smith OM,Heller G,Liu C,Murphy GF,Alpdogan O,Brink den van MR","GEOID":"GSE5503","EXACT_SOURCE":"GSE5503_3158_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in allogeneic T cells after stimulation with dendritic cells from: liver versus spleen.","DESCRIPTION_FULL":"Transcriptional response of murine allogeneic T cells (B10.BR) after stimulation with different organ-derived (spleen, liver, peripheral and mesenteric lymph nodes) dendritic cells (C57BL/6) in vitro"}
{"STANDARD_NAME":"GSE5503_MLN_DC_VS_PLN_DC_ACTIVATED_ALLOGENIC_TCELL_UP","SYSTEMATIC_NAME":"M7000","ORGANISM":"Mus musculus","PMID":"18178870","AUTHORS":"Kim TD,Terwey TH,Zakrzewski JL,Suh D,Kochman AA,Chen ME,King CG,Borsotti C,Grubin J,Smith OM,Heller G,Liu C,Murphy GF,Alpdogan O,Brink den van MR","GEOID":"GSE5503","EXACT_SOURCE":"GSE5503_3159_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in allogeneic T cells after stimulation with dendritic cells from lymph nodes: mesenteric (mLN) versus peripheral (pLN).","DESCRIPTION_FULL":"Transcriptional response of murine allogeneic T cells (B10.BR) after stimulation with different organ-derived (spleen, liver, peripheral and mesenteric lymph nodes) dendritic cells (C57BL/6) in vitro"}
{"STANDARD_NAME":"GSE5503_MLN_DC_VS_PLN_DC_ACTIVATED_ALLOGENIC_TCELL_DN","SYSTEMATIC_NAME":"M291","ORGANISM":"Mus musculus","PMID":"18178870","AUTHORS":"Kim TD,Terwey TH,Zakrzewski JL,Suh D,Kochman AA,Chen ME,King CG,Borsotti C,Grubin J,Smith OM,Heller G,Liu C,Murphy GF,Alpdogan O,Brink den van MR","GEOID":"GSE5503","EXACT_SOURCE":"GSE5503_3159_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in allogeneic T cells after stimulation with dendritic cells from lymph nodes: mesenteric (mLN) versus peripheral (pLN).","DESCRIPTION_FULL":"Transcriptional response of murine allogeneic T cells (B10.BR) after stimulation with different organ-derived (spleen, liver, peripheral and mesenteric lymph nodes) dendritic cells (C57BL/6) in vitro"}
{"STANDARD_NAME":"GSE5503_MLN_DC_VS_SPLEEN_DC_ACTIVATED_ALLOGENIC_TCELL_UP","SYSTEMATIC_NAME":"M293","ORGANISM":"Mus musculus","PMID":"18178870","AUTHORS":"Kim TD,Terwey TH,Zakrzewski JL,Suh D,Kochman AA,Chen ME,King CG,Borsotti C,Grubin J,Smith OM,Heller G,Liu C,Murphy GF,Alpdogan O,Brink den van MR","GEOID":"GSE5503","EXACT_SOURCE":"GSE5503_3160_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in allogeneic T cells after stimulation with dendritic cells from: mesenteric lymph nodes (mLN) versus spleen.","DESCRIPTION_FULL":"Transcriptional response of murine allogeneic T cells (B10.BR) after stimulation with different organ-derived (spleen, liver, peripheral and mesenteric lymph nodes) dendritic cells (C57BL/6) in vitro"}
{"STANDARD_NAME":"GSE5503_MLN_DC_VS_SPLEEN_DC_ACTIVATED_ALLOGENIC_TCELL_DN","SYSTEMATIC_NAME":"M294","ORGANISM":"Mus musculus","PMID":"18178870","AUTHORS":"Kim TD,Terwey TH,Zakrzewski JL,Suh D,Kochman AA,Chen ME,King CG,Borsotti C,Grubin J,Smith OM,Heller G,Liu C,Murphy GF,Alpdogan O,Brink den van MR","GEOID":"GSE5503","EXACT_SOURCE":"GSE5503_3160_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in allogeneic T cells after stimulation with dendritic cells from: mesenteric lymph nodes (mLN) versus spleen.","DESCRIPTION_FULL":"Transcriptional response of murine allogeneic T cells (B10.BR) after stimulation with different organ-derived (spleen, liver, peripheral and mesenteric lymph nodes) dendritic cells (C57BL/6) in vitro"}
{"STANDARD_NAME":"GSE5503_PLN_DC_VS_SPLEEN_DC_ACTIVATED_ALLOGENIC_TCELL_UP","SYSTEMATIC_NAME":"M296","ORGANISM":"Mus musculus","PMID":"18178870","AUTHORS":"Kim TD,Terwey TH,Zakrzewski JL,Suh D,Kochman AA,Chen ME,King CG,Borsotti C,Grubin J,Smith OM,Heller G,Liu C,Murphy GF,Alpdogan O,Brink den van MR","GEOID":"GSE5503","EXACT_SOURCE":"GSE5503_3161_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in allogeneic T cells after stimulation with dendritic cells from: peripheral lymph nodes (mLN) versus spleen.","DESCRIPTION_FULL":"Transcriptional response of murine allogeneic T cells (B10.BR) after stimulation with different organ-derived (spleen, liver, peripheral and mesenteric lymph nodes) dendritic cells (C57BL/6) in vitro"}
{"STANDARD_NAME":"GSE5503_PLN_DC_VS_SPLEEN_DC_ACTIVATED_ALLOGENIC_TCELL_DN","SYSTEMATIC_NAME":"M297","ORGANISM":"Mus musculus","PMID":"18178870","AUTHORS":"Kim TD,Terwey TH,Zakrzewski JL,Suh D,Kochman AA,Chen ME,King CG,Borsotti C,Grubin J,Smith OM,Heller G,Liu C,Murphy GF,Alpdogan O,Brink den van MR","GEOID":"GSE5503","EXACT_SOURCE":"GSE5503_3161_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in allogeneic T cells after stimulation with dendritic cells from: peripheral lymph nodes (mLN) versus spleen.","DESCRIPTION_FULL":"Transcriptional response of murine allogeneic T cells (B10.BR) after stimulation with different organ-derived (spleen, liver, peripheral and mesenteric lymph nodes) dendritic cells (C57BL/6) in vitro"}
{"STANDARD_NAME":"GSE10240_CTRL_VS_IL17_STIM_PRIMARY_BRONCHIAL_EPITHELIAL_CELLS_DN","SYSTEMATIC_NAME":"M298","ORGANISM":"Homo sapiens","PMID":"18264110","AUTHORS":"Aujla SJ,Chan YR,Zheng M,Fei M,Askew DJ,Pociask DA,Reinhart TA,McAllister F,Edeal J,Gaus K,Husain S,Kreindler JL,Dubin PJ,Pilewski JM,Myerburg MM,Mason CA,Iwakura Y,Kolls JK","GEOID":"GSE10240","EXACT_SOURCE":"GSE10240_2953_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in primary bronchial epithelial cells: control versus stimulated with IL17A [GeneID=3605].","DESCRIPTION_FULL":"Primary HBE cells were stimulated with IL-22 and IL-17, and gene expression was studied using an Affymetrix platform microarray, in order to investigate which genes may be upregulated or downregulated in response to these cytokines. Of particular interest was the host defense genes such as antimicrobial peptides, which have been shown to be upregulated by IL-22 and IL-17 in skin keratinocytes."}
{"STANDARD_NAME":"GSE10240_IL22_VS_IL17_STIM_PRIMARY_BRONCHIAL_EPITHELIAL_CELLS_UP","SYSTEMATIC_NAME":"M299","ORGANISM":"Homo sapiens","PMID":"18264110","AUTHORS":"Aujla SJ,Chan YR,Zheng M,Fei M,Askew DJ,Pociask DA,Reinhart TA,McAllister F,Edeal J,Gaus K,Husain S,Kreindler JL,Dubin PJ,Pilewski JM,Myerburg MM,Mason CA,Iwakura Y,Kolls JK","GEOID":"GSE10240","EXACT_SOURCE":"GSE10240_2955_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in primary bronchial epithelial cells stimulated with: IL22 [GeneID=50616] versus IL17A [GeneID=3605].","DESCRIPTION_FULL":"Primary HBE cells were stimulated with IL-22 and IL-17, and gene expression was studied using an Affymetrix platform microarray, in order to investigate which genes may be upregulated or downregulated in response to these cytokines. Of particular interest was the host defense genes such as antimicrobial peptides, which have been shown to be upregulated by IL-22 and IL-17 in skin keratinocytes."}
{"STANDARD_NAME":"GSE10240_CTRL_VS_IL17_STIM_PRIMARY_BRONCHIAL_EPITHELIAL_CELLS_UP","SYSTEMATIC_NAME":"M300","ORGANISM":"Homo sapiens","PMID":"18264110","AUTHORS":"Aujla SJ,Chan YR,Zheng M,Fei M,Askew DJ,Pociask DA,Reinhart TA,McAllister F,Edeal J,Gaus K,Husain S,Kreindler JL,Dubin PJ,Pilewski JM,Myerburg MM,Mason CA,Iwakura Y,Kolls JK","GEOID":"GSE10240","EXACT_SOURCE":"GSE10240_2953_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in primary bronchial epithelial cells: control versus stimulated with IL17A [GeneID=3605].","DESCRIPTION_FULL":"Primary HBE cells were stimulated with IL-22 and IL-17, and gene expression was studied using an Affymetrix platform microarray, in order to investigate which genes may be upregulated or downregulated in response to these cytokines. Of particular interest was the host defense genes such as antimicrobial peptides, which have been shown to be upregulated by IL-22 and IL-17 in skin keratinocytes."}
{"STANDARD_NAME":"GSE10240_CTRL_VS_IL22_STIM_PRIMARY_BRONCHIAL_EPITHELIAL_CELLS_DN","SYSTEMATIC_NAME":"M301","ORGANISM":"Homo sapiens","PMID":"18264110","AUTHORS":"Aujla SJ,Chan YR,Zheng M,Fei M,Askew DJ,Pociask DA,Reinhart TA,McAllister F,Edeal J,Gaus K,Husain S,Kreindler JL,Dubin PJ,Pilewski JM,Myerburg MM,Mason CA,Iwakura Y,Kolls JK","GEOID":"GSE10240","EXACT_SOURCE":"GSE10240_2952_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in primary bronchial epithelial cells: control versus stimulated with IL22 [GeneID=50616].","DESCRIPTION_FULL":"Primary HBE cells were stimulated with IL-22 and IL-17, and gene expression was studied using an Affymetrix platform microarray, in order to investigate which genes may be upregulated or downregulated in response to these cytokines. Of particular interest was the host defense genes such as antimicrobial peptides, which have been shown to be upregulated by IL-22 and IL-17 in skin keratinocytes."}
{"STANDARD_NAME":"GSE10240_CTRL_VS_IL22_STIM_PRIMARY_BRONCHIAL_EPITHELIAL_CELLS_UP","SYSTEMATIC_NAME":"M302","ORGANISM":"Homo sapiens","PMID":"18264110","AUTHORS":"Aujla SJ,Chan YR,Zheng M,Fei M,Askew DJ,Pociask DA,Reinhart TA,McAllister F,Edeal J,Gaus K,Husain S,Kreindler JL,Dubin PJ,Pilewski JM,Myerburg MM,Mason CA,Iwakura Y,Kolls JK","GEOID":"GSE10240","EXACT_SOURCE":"GSE10240_2952_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in primary bronchial epithelial cells: control versus stimulated with IL22 [GeneID=50616].","DESCRIPTION_FULL":"Primary HBE cells were stimulated with IL-22 and IL-17, and gene expression was studied using an Affymetrix platform microarray, in order to investigate which genes may be upregulated or downregulated in response to these cytokines. Of particular interest was the host defense genes such as antimicrobial peptides, which have been shown to be upregulated by IL-22 and IL-17 in skin keratinocytes."}
{"STANDARD_NAME":"GSE10240_CTRL_VS_IL17_AND_IL22_STIM_PRIMARY_BRONCHIAL_EPITHELIAL_CELLS_UP","SYSTEMATIC_NAME":"M303","ORGANISM":"Homo sapiens","PMID":"18264110","AUTHORS":"Aujla SJ,Chan YR,Zheng M,Fei M,Askew DJ,Pociask DA,Reinhart TA,McAllister F,Edeal J,Gaus K,Husain S,Kreindler JL,Dubin PJ,Pilewski JM,Myerburg MM,Mason CA,Iwakura Y,Kolls JK","GEOID":"GSE10240","EXACT_SOURCE":"GSE10240_2954_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in primary bronchial epithelial cells: control versus stimulated with IL17A and IL22 [GeneID=3605;50616].","DESCRIPTION_FULL":"Primary HBE cells were stimulated with IL-22 and IL-17, and gene expression was studied using an Affymetrix platform microarray, in order to investigate which genes may be upregulated or downregulated in response to these cytokines. Of particular interest was the host defense genes such as antimicrobial peptides, which have been shown to be upregulated by IL-22 and IL-17 in skin keratinocytes."}
{"STANDARD_NAME":"GSE10240_CTRL_VS_IL17_AND_IL22_STIM_PRIMARY_BRONCHIAL_EPITHELIAL_CELLS_DN","SYSTEMATIC_NAME":"M304","ORGANISM":"Homo sapiens","PMID":"18264110","AUTHORS":"Aujla SJ,Chan YR,Zheng M,Fei M,Askew DJ,Pociask DA,Reinhart TA,McAllister F,Edeal J,Gaus K,Husain S,Kreindler JL,Dubin PJ,Pilewski JM,Myerburg MM,Mason CA,Iwakura Y,Kolls JK","GEOID":"GSE10240","EXACT_SOURCE":"GSE10240_2954_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in primary bronchial epithelial cells: control versus stimulated with IL17A and IL22 [GeneID=3605;50616].","DESCRIPTION_FULL":"Primary HBE cells were stimulated with IL-22 and IL-17, and gene expression was studied using an Affymetrix platform microarray, in order to investigate which genes may be upregulated or downregulated in response to these cytokines. Of particular interest was the host defense genes such as antimicrobial peptides, which have been shown to be upregulated by IL-22 and IL-17 in skin keratinocytes."}
{"STANDARD_NAME":"GSE10240_IL22_VS_IL22_AND_IL17_STIM_PRIMARY_BRONCHIAL_EPITHELIAL_CELLS_UP","SYSTEMATIC_NAME":"M306","ORGANISM":"Homo sapiens","PMID":"18264110","AUTHORS":"Aujla SJ,Chan YR,Zheng M,Fei M,Askew DJ,Pociask DA,Reinhart TA,McAllister F,Edeal J,Gaus K,Husain S,Kreindler JL,Dubin PJ,Pilewski JM,Myerburg MM,Mason CA,Iwakura Y,Kolls JK","GEOID":"GSE10240","EXACT_SOURCE":"GSE10240_2956_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in primary bronchial epithelial cells stimulated with: IL22 [GeneID=50616] versus IL17A and IL22 [GeneID=3605;50616].","DESCRIPTION_FULL":"Primary HBE cells were stimulated with IL-22 and IL-17, and gene expression was studied using an Affymetrix platform microarray, in order to investigate which genes may be upregulated or downregulated in response to these cytokines. Of particular interest was the host defense genes such as antimicrobial peptides, which have been shown to be upregulated by IL-22 and IL-17 in skin keratinocytes."}
{"STANDARD_NAME":"GSE10240_IL22_VS_IL22_AND_IL17_STIM_PRIMARY_BRONCHIAL_EPITHELIAL_CELLS_DN","SYSTEMATIC_NAME":"M309","ORGANISM":"Homo sapiens","PMID":"18264110","AUTHORS":"Aujla SJ,Chan YR,Zheng M,Fei M,Askew DJ,Pociask DA,Reinhart TA,McAllister F,Edeal J,Gaus K,Husain S,Kreindler JL,Dubin PJ,Pilewski JM,Myerburg MM,Mason CA,Iwakura Y,Kolls JK","GEOID":"GSE10240","EXACT_SOURCE":"GSE10240_2956_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in primary bronchial epithelial cells stimulated with: IL22 [GeneID=50616] versus IL17A and IL22 [GeneID=3605;50616].","DESCRIPTION_FULL":"Primary HBE cells were stimulated with IL-22 and IL-17, and gene expression was studied using an Affymetrix platform microarray, in order to investigate which genes may be upregulated or downregulated in response to these cytokines. Of particular interest was the host defense genes such as antimicrobial peptides, which have been shown to be upregulated by IL-22 and IL-17 in skin keratinocytes."}
{"STANDARD_NAME":"GSE10240_IL22_VS_IL17_STIM_PRIMARY_BRONCHIAL_EPITHELIAL_CELLS_DN","SYSTEMATIC_NAME":"M310","ORGANISM":"Homo sapiens","PMID":"18264110","AUTHORS":"Aujla SJ,Chan YR,Zheng M,Fei M,Askew DJ,Pociask DA,Reinhart TA,McAllister F,Edeal J,Gaus K,Husain S,Kreindler JL,Dubin PJ,Pilewski JM,Myerburg MM,Mason CA,Iwakura Y,Kolls JK","GEOID":"GSE10240","EXACT_SOURCE":"GSE10240_2955_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in primary bronchial epithelial cells stimulated with: IL22 [GeneID=50616] versus IL17A [GeneID=3605].","DESCRIPTION_FULL":"Primary HBE cells were stimulated with IL-22 and IL-17, and gene expression was studied using an Affymetrix platform microarray, in order to investigate which genes may be upregulated or downregulated in response to these cytokines. Of particular interest was the host defense genes such as antimicrobial peptides, which have been shown to be upregulated by IL-22 and IL-17 in skin keratinocytes."}
{"STANDARD_NAME":"GSE10240_IL17_VS_IL17_AND_IL22_STIM_PRIMARY_BRONCHIAL_EPITHELIAL_CELLS_DN","SYSTEMATIC_NAME":"M312","ORGANISM":"Homo sapiens","PMID":"18264110","AUTHORS":"Aujla SJ,Chan YR,Zheng M,Fei M,Askew DJ,Pociask DA,Reinhart TA,McAllister F,Edeal J,Gaus K,Husain S,Kreindler JL,Dubin PJ,Pilewski JM,Myerburg MM,Mason CA,Iwakura Y,Kolls JK","GEOID":"GSE10240","EXACT_SOURCE":"GSE10240_2957_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in primary bronchial epithelial cells stimulated with: IL17A [GeneID=50616] versus IL17A and IL22 [GeneID=3605;50616].","DESCRIPTION_FULL":"Primary HBE cells were stimulated with IL-22 and IL-17, and gene expression was studied using an Affymetrix platform microarray, in order to investigate which genes may be upregulated or downregulated in response to these cytokines. Of particular interest was the host defense genes such as antimicrobial peptides, which have been shown to be upregulated by IL-22 and IL-17 in skin keratinocytes."}
{"STANDARD_NAME":"GSE10240_IL17_VS_IL17_AND_IL22_STIM_PRIMARY_BRONCHIAL_EPITHELIAL_CELLS_UP","SYSTEMATIC_NAME":"M313","ORGANISM":"Homo sapiens","PMID":"18264110","AUTHORS":"Aujla SJ,Chan YR,Zheng M,Fei M,Askew DJ,Pociask DA,Reinhart TA,McAllister F,Edeal J,Gaus K,Husain S,Kreindler JL,Dubin PJ,Pilewski JM,Myerburg MM,Mason CA,Iwakura Y,Kolls JK","GEOID":"GSE10240","EXACT_SOURCE":"GSE10240_2957_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in primary bronchial epithelial cells stimulated with: IL17A [GeneID=50616] versus IL17A and IL22 [GeneID=3605;50616].","DESCRIPTION_FULL":"Primary HBE cells were stimulated with IL-22 and IL-17, and gene expression was studied using an Affymetrix platform microarray, in order to investigate which genes may be upregulated or downregulated in response to these cytokines. Of particular interest was the host defense genes such as antimicrobial peptides, which have been shown to be upregulated by IL-22 and IL-17 in skin keratinocytes."}
{"STANDARD_NAME":"GSE10273_LOW_IL7_VS_HIGH_IL7_AND_IRF4_IN_IRF4_8_NULL_PRE_BCELL_UP","SYSTEMATIC_NAME":"M315","ORGANISM":"Mus musculus","PMID":"18280186","AUTHORS":"Johnson K,Hashimshony T,Sawai CM,Pongubala JM,Skok JA,Aifantis I,Singh H","GEOID":"GSE10273","EXACT_SOURCE":"GSE10273_2545_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in IRF4 and IRF8 [GeneID=3662;3394] null pre-B cells treated with 0.25 ng/ml IL7 [GeneID=3574] versus the cells treated with 5 ng/ml IL7 [GeneID=3574] and transduced with IRF4 [GeneID=3662].","DESCRIPTION_FULL":"Productive rearrangement of the immunoglobulin heavy chain locus triggers a major developmental checkpoint that promotes limited clonal expansion of pre-B cells, culminating in cell cycle arrest and rearrangement of the kappa (κ) or lambda (λ) light-chain loci. B lineage cells lacking the related transcription factors IRF-4 and IRF-8 undergo a developmental arrest at the cycling pre-B cell stage and are blocked for light-chain recombination. Using Irf-4,8-/- pre-B cells we demonstrate that two pathways converge to synergistically drive light-chain rearrangement, a process that is not simply activated by cell cycle exit. One pathway is directly dependent on IRF-4, whose expression is elevated by pre-BCR signaling. IRF-4 targets the κ 3′ and λ enhancers to increase locus accessibility and positions a kappa allele away from pericentromeric heterochromatin. The other pathway is triggered by attenuation of IL-7 signaling and results in activation of the κ intronic enhancer via binding of the transcription factor, E2A. Intriguingly, IRF-4 regulates the expression of CXCR4 and promotes the migration of pre-B cells in response to the chemokine CXCL12. We propose that IRF-4 coordinates the two pathways regulating light-chain recombination by positioning pre-B cells away from IL-7 expressing stromal cells. We used microarrys to identify the changes in gene expression under different levels of the cytokine IL-7 and after rescue of genetic defect."}
{"STANDARD_NAME":"GSE10273_HIGH_VS_LOW_IL7_TREATED_IRF4_8_NULL_PRE_BCELL_DN","SYSTEMATIC_NAME":"M316","ORGANISM":"Mus musculus","PMID":"18280186","AUTHORS":"Johnson K,Hashimshony T,Sawai CM,Pongubala JM,Skok JA,Aifantis I,Singh H","GEOID":"GSE10273","EXACT_SOURCE":"GSE10273_2543_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in IRF4 and IRF8 [GeneID=3662;3394] null pre-B cells treated with IL7 [GeneID=3574]: 5 ng/ml versus 0.25ng/ml.","DESCRIPTION_FULL":"Productive rearrangement of the immunoglobulin heavy chain locus triggers a major developmental checkpoint that promotes limited clonal expansion of pre-B cells, culminating in cell cycle arrest and rearrangement of the kappa (κ) or lambda (λ) light-chain loci. B lineage cells lacking the related transcription factors IRF-4 and IRF-8 undergo a developmental arrest at the cycling pre-B cell stage and are blocked for light-chain recombination. Using Irf-4,8-/- pre-B cells we demonstrate that two pathways converge to synergistically drive light-chain rearrangement, a process that is not simply activated by cell cycle exit. One pathway is directly dependent on IRF-4, whose expression is elevated by pre-BCR signaling. IRF-4 targets the κ 3′ and λ enhancers to increase locus accessibility and positions a kappa allele away from pericentromeric heterochromatin. The other pathway is triggered by attenuation of IL-7 signaling and results in activation of the κ intronic enhancer via binding of the transcription factor, E2A. Intriguingly, IRF-4 regulates the expression of CXCR4 and promotes the migration of pre-B cells in response to the chemokine CXCL12. We propose that IRF-4 coordinates the two pathways regulating light-chain recombination by positioning pre-B cells away from IL-7 expressing stromal cells. We used microarrys to identify the changes in gene expression under different levels of the cytokine IL-7 and after rescue of genetic defect."}
{"STANDARD_NAME":"GSE10273_HIGH_IL7_VS_HIGH_IL7_AND_IRF4_IN_IRF4_8_NULL_PRE_BCELL_DN","SYSTEMATIC_NAME":"M317","ORGANISM":"Mus musculus","PMID":"18280186","AUTHORS":"Johnson K,Hashimshony T,Sawai CM,Pongubala JM,Skok JA,Aifantis I,Singh H","GEOID":"GSE10273","EXACT_SOURCE":"GSE10273_2544_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in IRF4 and IRF8 [GeneID=3662;3394] null pre-B cell treated with 5ng/ml IL7 [GeneID=3574] versus those transduced with IRF4 [GeneID=3662].","DESCRIPTION_FULL":"Productive rearrangement of the immunoglobulin heavy chain locus triggers a major developmental checkpoint that promotes limited clonal expansion of pre-B cells, culminating in cell cycle arrest and rearrangement of the kappa (κ) or lambda (λ) light-chain loci. B lineage cells lacking the related transcription factors IRF-4 and IRF-8 undergo a developmental arrest at the cycling pre-B cell stage and are blocked for light-chain recombination. Using Irf-4,8-/- pre-B cells we demonstrate that two pathways converge to synergistically drive light-chain rearrangement, a process that is not simply activated by cell cycle exit. One pathway is directly dependent on IRF-4, whose expression is elevated by pre-BCR signaling. IRF-4 targets the κ 3′ and λ enhancers to increase locus accessibility and positions a kappa allele away from pericentromeric heterochromatin. The other pathway is triggered by attenuation of IL-7 signaling and results in activation of the κ intronic enhancer via binding of the transcription factor, E2A. Intriguingly, IRF-4 regulates the expression of CXCR4 and promotes the migration of pre-B cells in response to the chemokine CXCL12. We propose that IRF-4 coordinates the two pathways regulating light-chain recombination by positioning pre-B cells away from IL-7 expressing stromal cells. We used microarrys to identify the changes in gene expression under different levels of the cytokine IL-7 and after rescue of genetic defect."}
{"STANDARD_NAME":"GSE10273_HIGH_VS_LOW_IL7_TREATED_IRF4_8_NULL_PRE_BCELL_UP","SYSTEMATIC_NAME":"M318","ORGANISM":"Mus musculus","PMID":"18280186","AUTHORS":"Johnson K,Hashimshony T,Sawai CM,Pongubala JM,Skok JA,Aifantis I,Singh H","GEOID":"GSE10273","EXACT_SOURCE":"GSE10273_2543_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in IRF4 and IRF8 [GeneID=3662;3394] null pre-B cells treated with IL7 [GeneID=3574]: 5 ng/ml versus 0.25ng/ml.","DESCRIPTION_FULL":"Productive rearrangement of the immunoglobulin heavy chain locus triggers a major developmental checkpoint that promotes limited clonal expansion of pre-B cells, culminating in cell cycle arrest and rearrangement of the kappa (κ) or lambda (λ) light-chain loci. B lineage cells lacking the related transcription factors IRF-4 and IRF-8 undergo a developmental arrest at the cycling pre-B cell stage and are blocked for light-chain recombination. Using Irf-4,8-/- pre-B cells we demonstrate that two pathways converge to synergistically drive light-chain rearrangement, a process that is not simply activated by cell cycle exit. One pathway is directly dependent on IRF-4, whose expression is elevated by pre-BCR signaling. IRF-4 targets the κ 3′ and λ enhancers to increase locus accessibility and positions a kappa allele away from pericentromeric heterochromatin. The other pathway is triggered by attenuation of IL-7 signaling and results in activation of the κ intronic enhancer via binding of the transcription factor, E2A. Intriguingly, IRF-4 regulates the expression of CXCR4 and promotes the migration of pre-B cells in response to the chemokine CXCL12. We propose that IRF-4 coordinates the two pathways regulating light-chain recombination by positioning pre-B cells away from IL-7 expressing stromal cells. We used microarrys to identify the changes in gene expression under different levels of the cytokine IL-7 and after rescue of genetic defect."}
{"STANDARD_NAME":"GSE10273_HIGH_IL7_VS_HIGH_IL7_AND_IRF4_IN_IRF4_8_NULL_PRE_BCELL_UP","SYSTEMATIC_NAME":"M320","ORGANISM":"Mus musculus","PMID":"18280186","AUTHORS":"Johnson K,Hashimshony T,Sawai CM,Pongubala JM,Skok JA,Aifantis I,Singh H","GEOID":"GSE10273","EXACT_SOURCE":"GSE10273_2544_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in IRF4 and IRF8 [GeneID=3662;3394] null pre-B cell treated with 5ng/ml IL7 [GeneID=3574] versus those transduced with IRF4 [GeneID=3662].","DESCRIPTION_FULL":"Productive rearrangement of the immunoglobulin heavy chain locus triggers a major developmental checkpoint that promotes limited clonal expansion of pre-B cells, culminating in cell cycle arrest and rearrangement of the kappa (κ) or lambda (λ) light-chain loci. B lineage cells lacking the related transcription factors IRF-4 and IRF-8 undergo a developmental arrest at the cycling pre-B cell stage and are blocked for light-chain recombination. Using Irf-4,8-/- pre-B cells we demonstrate that two pathways converge to synergistically drive light-chain rearrangement, a process that is not simply activated by cell cycle exit. One pathway is directly dependent on IRF-4, whose expression is elevated by pre-BCR signaling. IRF-4 targets the κ 3′ and λ enhancers to increase locus accessibility and positions a kappa allele away from pericentromeric heterochromatin. The other pathway is triggered by attenuation of IL-7 signaling and results in activation of the κ intronic enhancer via binding of the transcription factor, E2A. Intriguingly, IRF-4 regulates the expression of CXCR4 and promotes the migration of pre-B cells in response to the chemokine CXCL12. We propose that IRF-4 coordinates the two pathways regulating light-chain recombination by positioning pre-B cells away from IL-7 expressing stromal cells. We used microarrys to identify the changes in gene expression under different levels of the cytokine IL-7 and after rescue of genetic defect."}
{"STANDARD_NAME":"GSE10273_LOW_IL7_VS_HIGH_IL7_AND_IRF4_IN_IRF4_8_NULL_PRE_BCELL_DN","SYSTEMATIC_NAME":"M322","ORGANISM":"Mus musculus","PMID":"18280186","AUTHORS":"Johnson K,Hashimshony T,Sawai CM,Pongubala JM,Skok JA,Aifantis I,Singh H","GEOID":"GSE10273","EXACT_SOURCE":"GSE10273_2545_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in IRF4 and IRF8 [GeneID=3662;3394] null pre-B cells treated with 0.25 ng/ml IL7 [GeneID=3574] versus the cells treated with 5 ng/ml IL7 [GeneID=3574] and transduced with IRF4 [GeneID=3662].","DESCRIPTION_FULL":"Productive rearrangement of the immunoglobulin heavy chain locus triggers a major developmental checkpoint that promotes limited clonal expansion of pre-B cells, culminating in cell cycle arrest and rearrangement of the kappa (κ) or lambda (λ) light-chain loci. B lineage cells lacking the related transcription factors IRF-4 and IRF-8 undergo a developmental arrest at the cycling pre-B cell stage and are blocked for light-chain recombination. Using Irf-4,8-/- pre-B cells we demonstrate that two pathways converge to synergistically drive light-chain rearrangement, a process that is not simply activated by cell cycle exit. One pathway is directly dependent on IRF-4, whose expression is elevated by pre-BCR signaling. IRF-4 targets the κ 3′ and λ enhancers to increase locus accessibility and positions a kappa allele away from pericentromeric heterochromatin. The other pathway is triggered by attenuation of IL-7 signaling and results in activation of the κ intronic enhancer via binding of the transcription factor, E2A. Intriguingly, IRF-4 regulates the expression of CXCR4 and promotes the migration of pre-B cells in response to the chemokine CXCL12. We propose that IRF-4 coordinates the two pathways regulating light-chain recombination by positioning pre-B cells away from IL-7 expressing stromal cells. We used microarrys to identify the changes in gene expression under different levels of the cytokine IL-7 and after rescue of genetic defect."}
{"STANDARD_NAME":"GSE8685_IL2_STARVED_VS_IL2_ACT_IL2_STARVED_CD4_TCELL_UP","SYSTEMATIC_NAME":"M324","ORGANISM":"Homo sapiens","PMID":"18281483","AUTHORS":"Marzec M,Halasa K,Kasprzycka M,Wysocka M,Liu X,Tobias JW,Baldwin D,Zhang Q,Odum N,Rook AH,Wasik MA","GEOID":"GSE8685","EXACT_SOURCE":"GSE8685_3173_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in Sez-2 cells (T cell lymphoma): untreated versus IL2 [GeneID=3558].","DESCRIPTION_FULL":"In this study we compared the effects of IL-2, IL-15, and IL-21 on the gene expression, activation of cell signaling pathways, and functional properties of cells derived from the CD4+ cutaneous T-cell lymphoma (CTCL). Whereas both IL-2 and IL-15 that signal through receptors that share the common gamma chain and the beta chain modulated the expression of >1,000 genes, IL-21 that signals via the receptor also containing gamma chain up-regulated <40 genes. All three cytokines induced tyrosine phosphorylation of Jak1 and Jak3. However, only IL-2 and IL-15 strongly activated STAT5, PI3K/Akt, and MEK/ERK signaling pathways. In contrast, IL-21 selectively activated STAT3. Whereas all three cytokines protected CTCL cells from apoptosis, only IL-2 and IL-15 promoted their proliferation. The effects of the cytokine stimulation were Jak3- and Jak1-kinase dependent. These findings document the vastly different impact of IL-2 and IL-15 vs. IL-21 on malignant CD4+ T cells. They also suggest two novel therapeutic approaches to CTCL and, possibly, other CD4+ T cell lymphomas: inhibition of the Jak1/Jak3 kinase complex and, given the known strong immunostimulatory properties of IL-21 on CD8+ T, NK, and B cells, application of this cytokine to boost an immune response against malignant CD4+ T cells."}
{"STANDARD_NAME":"GSE8685_IL2_STARVED_VS_IL2_ACT_IL2_STARVED_CD4_TCELL_DN","SYSTEMATIC_NAME":"M325","ORGANISM":"Homo sapiens","PMID":"18281483","AUTHORS":"Marzec M,Halasa K,Kasprzycka M,Wysocka M,Liu X,Tobias JW,Baldwin D,Zhang Q,Odum N,Rook AH,Wasik MA","GEOID":"GSE8685","EXACT_SOURCE":"GSE8685_3173_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in Sez-2 cells (T cell lymphoma): untreated versus IL2 [GeneID=3558].","DESCRIPTION_FULL":"In this study we compared the effects of IL-2, IL-15, and IL-21 on the gene expression, activation of cell signaling pathways, and functional properties of cells derived from the CD4+ cutaneous T-cell lymphoma (CTCL). Whereas both IL-2 and IL-15 that signal through receptors that share the common gamma chain and the beta chain modulated the expression of >1,000 genes, IL-21 that signals via the receptor also containing gamma chain up-regulated <40 genes. All three cytokines induced tyrosine phosphorylation of Jak1 and Jak3. However, only IL-2 and IL-15 strongly activated STAT5, PI3K/Akt, and MEK/ERK signaling pathways. In contrast, IL-21 selectively activated STAT3. Whereas all three cytokines protected CTCL cells from apoptosis, only IL-2 and IL-15 promoted their proliferation. The effects of the cytokine stimulation were Jak3- and Jak1-kinase dependent. These findings document the vastly different impact of IL-2 and IL-15 vs. IL-21 on malignant CD4+ T cells. They also suggest two novel therapeutic approaches to CTCL and, possibly, other CD4+ T cell lymphomas: inhibition of the Jak1/Jak3 kinase complex and, given the known strong immunostimulatory properties of IL-21 on CD8+ T, NK, and B cells, application of this cytokine to boost an immune response against malignant CD4+ T cells."}
{"STANDARD_NAME":"GSE8685_IL2_STARVED_VS_IL15_ACT_IL2_STARVED_CD4_TCELL_UP","SYSTEMATIC_NAME":"M326","ORGANISM":"Homo sapiens","PMID":"18281483","AUTHORS":"Marzec M,Halasa K,Kasprzycka M,Wysocka M,Liu X,Tobias JW,Baldwin D,Zhang Q,Odum N,Rook AH,Wasik MA","GEOID":"GSE8685","EXACT_SOURCE":"GSE8685_3174_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in Sez-2 cells (T cell lymphoma): untreated versus IL5 [GeneID=3567].","DESCRIPTION_FULL":"In this study we compared the effects of IL-2, IL-15, and IL-21 on the gene expression, activation of cell signaling pathways, and functional properties of cells derived from the CD4+ cutaneous T-cell lymphoma (CTCL). Whereas both IL-2 and IL-15 that signal through receptors that share the common gamma chain and the beta chain modulated the expression of >1,000 genes, IL-21 that signals via the receptor also containing gamma chain up-regulated <40 genes. All three cytokines induced tyrosine phosphorylation of Jak1 and Jak3. However, only IL-2 and IL-15 strongly activated STAT5, PI3K/Akt, and MEK/ERK signaling pathways. In contrast, IL-21 selectively activated STAT3. Whereas all three cytokines protected CTCL cells from apoptosis, only IL-2 and IL-15 promoted their proliferation. The effects of the cytokine stimulation were Jak3- and Jak1-kinase dependent. These findings document the vastly different impact of IL-2 and IL-15 vs. IL-21 on malignant CD4+ T cells. They also suggest two novel therapeutic approaches to CTCL and, possibly, other CD4+ T cell lymphomas: inhibition of the Jak1/Jak3 kinase complex and, given the known strong immunostimulatory properties of IL-21 on CD8+ T, NK, and B cells, application of this cytokine to boost an immune response against malignant CD4+ T cells."}
{"STANDARD_NAME":"GSE8685_IL2_STARVED_VS_IL15_ACT_IL2_STARVED_CD4_TCELL_DN","SYSTEMATIC_NAME":"M327","ORGANISM":"Homo sapiens","PMID":"18281483","AUTHORS":"Marzec M,Halasa K,Kasprzycka M,Wysocka M,Liu X,Tobias JW,Baldwin D,Zhang Q,Odum N,Rook AH,Wasik MA","GEOID":"GSE8685","EXACT_SOURCE":"GSE8685_3174_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in Sez-2 cells (T cell lymphoma): untreated versus IL5 [GeneID=3567].","DESCRIPTION_FULL":"In this study we compared the effects of IL-2, IL-15, and IL-21 on the gene expression, activation of cell signaling pathways, and functional properties of cells derived from the CD4+ cutaneous T-cell lymphoma (CTCL). Whereas both IL-2 and IL-15 that signal through receptors that share the common gamma chain and the beta chain modulated the expression of >1,000 genes, IL-21 that signals via the receptor also containing gamma chain up-regulated <40 genes. All three cytokines induced tyrosine phosphorylation of Jak1 and Jak3. However, only IL-2 and IL-15 strongly activated STAT5, PI3K/Akt, and MEK/ERK signaling pathways. In contrast, IL-21 selectively activated STAT3. Whereas all three cytokines protected CTCL cells from apoptosis, only IL-2 and IL-15 promoted their proliferation. The effects of the cytokine stimulation were Jak3- and Jak1-kinase dependent. These findings document the vastly different impact of IL-2 and IL-15 vs. IL-21 on malignant CD4+ T cells. They also suggest two novel therapeutic approaches to CTCL and, possibly, other CD4+ T cell lymphomas: inhibition of the Jak1/Jak3 kinase complex and, given the known strong immunostimulatory properties of IL-21 on CD8+ T, NK, and B cells, application of this cytokine to boost an immune response against malignant CD4+ T cells."}
{"STANDARD_NAME":"GSE8685_IL2_STARVED_VS_IL21_ACT_IL2_STARVED_CD4_TCELL_UP","SYSTEMATIC_NAME":"M328","ORGANISM":"Homo sapiens","PMID":"18281483","AUTHORS":"Marzec M,Halasa K,Kasprzycka M,Wysocka M,Liu X,Tobias JW,Baldwin D,Zhang Q,Odum N,Rook AH,Wasik MA","GEOID":"GSE8685","EXACT_SOURCE":"GSE8685_3175_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in Sez-2 cells (T cell lymphoma): untreated versus IL21 [GeneID=59067].","DESCRIPTION_FULL":"In this study we compared the effects of IL-2, IL-15, and IL-21 on the gene expression, activation of cell signaling pathways, and functional properties of cells derived from the CD4+ cutaneous T-cell lymphoma (CTCL). Whereas both IL-2 and IL-15 that signal through receptors that share the common gamma chain and the beta chain modulated the expression of >1,000 genes, IL-21 that signals via the receptor also containing gamma chain up-regulated <40 genes. All three cytokines induced tyrosine phosphorylation of Jak1 and Jak3. However, only IL-2 and IL-15 strongly activated STAT5, PI3K/Akt, and MEK/ERK signaling pathways. In contrast, IL-21 selectively activated STAT3. Whereas all three cytokines protected CTCL cells from apoptosis, only IL-2 and IL-15 promoted their proliferation. The effects of the cytokine stimulation were Jak3- and Jak1-kinase dependent. These findings document the vastly different impact of IL-2 and IL-15 vs. IL-21 on malignant CD4+ T cells. They also suggest two novel therapeutic approaches to CTCL and, possibly, other CD4+ T cell lymphomas: inhibition of the Jak1/Jak3 kinase complex and, given the known strong immunostimulatory properties of IL-21 on CD8+ T, NK, and B cells, application of this cytokine to boost an immune response against malignant CD4+ T cells."}
{"STANDARD_NAME":"GSE8685_IL2_STARVED_VS_IL21_ACT_IL2_STARVED_CD4_TCELL_DN","SYSTEMATIC_NAME":"M330","ORGANISM":"Homo sapiens","PMID":"18281483","AUTHORS":"Marzec M,Halasa K,Kasprzycka M,Wysocka M,Liu X,Tobias JW,Baldwin D,Zhang Q,Odum N,Rook AH,Wasik MA","GEOID":"GSE8685","EXACT_SOURCE":"GSE8685_3175_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in Sez-2 cells (T cell lymphoma): untreated versus IL21 [GeneID=59067].","DESCRIPTION_FULL":"In this study we compared the effects of IL-2, IL-15, and IL-21 on the gene expression, activation of cell signaling pathways, and functional properties of cells derived from the CD4+ cutaneous T-cell lymphoma (CTCL). Whereas both IL-2 and IL-15 that signal through receptors that share the common gamma chain and the beta chain modulated the expression of >1,000 genes, IL-21 that signals via the receptor also containing gamma chain up-regulated <40 genes. All three cytokines induced tyrosine phosphorylation of Jak1 and Jak3. However, only IL-2 and IL-15 strongly activated STAT5, PI3K/Akt, and MEK/ERK signaling pathways. In contrast, IL-21 selectively activated STAT3. Whereas all three cytokines protected CTCL cells from apoptosis, only IL-2 and IL-15 promoted their proliferation. The effects of the cytokine stimulation were Jak3- and Jak1-kinase dependent. These findings document the vastly different impact of IL-2 and IL-15 vs. IL-21 on malignant CD4+ T cells. They also suggest two novel therapeutic approaches to CTCL and, possibly, other CD4+ T cell lymphomas: inhibition of the Jak1/Jak3 kinase complex and, given the known strong immunostimulatory properties of IL-21 on CD8+ T, NK, and B cells, application of this cytokine to boost an immune response against malignant CD4+ T cells."}
{"STANDARD_NAME":"GSE8685_IL2_ACT_IL2_STARVED_VS_IL15_ACT_IL2_STARVED_CD4_TCELL_UP","SYSTEMATIC_NAME":"M331","ORGANISM":"Homo sapiens","PMID":"18281483","AUTHORS":"Marzec M,Halasa K,Kasprzycka M,Wysocka M,Liu X,Tobias JW,Baldwin D,Zhang Q,Odum N,Rook AH,Wasik MA","GEOID":"GSE8685","EXACT_SOURCE":"GSE8685_3176_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in Sez-2 cells (T cell lymphoma): untreated versus IL15 [GeneID=3600].","DESCRIPTION_FULL":"In this study we compared the effects of IL-2, IL-15, and IL-21 on the gene expression, activation of cell signaling pathways, and functional properties of cells derived from the CD4+ cutaneous T-cell lymphoma (CTCL). Whereas both IL-2 and IL-15 that signal through receptors that share the common gamma chain and the beta chain modulated the expression of >1,000 genes, IL-21 that signals via the receptor also containing gamma chain up-regulated <40 genes. All three cytokines induced tyrosine phosphorylation of Jak1 and Jak3. However, only IL-2 and IL-15 strongly activated STAT5, PI3K/Akt, and MEK/ERK signaling pathways. In contrast, IL-21 selectively activated STAT3. Whereas all three cytokines protected CTCL cells from apoptosis, only IL-2 and IL-15 promoted their proliferation. The effects of the cytokine stimulation were Jak3- and Jak1-kinase dependent. These findings document the vastly different impact of IL-2 and IL-15 vs. IL-21 on malignant CD4+ T cells. They also suggest two novel therapeutic approaches to CTCL and, possibly, other CD4+ T cell lymphomas: inhibition of the Jak1/Jak3 kinase complex and, given the known strong immunostimulatory properties of IL-21 on CD8+ T, NK, and B cells, application of this cytokine to boost an immune response against malignant CD4+ T cells."}
{"STANDARD_NAME":"GSE8685_IL2_ACT_IL2_STARVED_VS_IL15_ACT_IL2_STARVED_CD4_TCELL_DN","SYSTEMATIC_NAME":"M332","ORGANISM":"Homo sapiens","PMID":"18281483","AUTHORS":"Marzec M,Halasa K,Kasprzycka M,Wysocka M,Liu X,Tobias JW,Baldwin D,Zhang Q,Odum N,Rook AH,Wasik MA","GEOID":"GSE8685","EXACT_SOURCE":"GSE8685_3176_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in Sez-2 cells (T cell lymphoma): untreated versus IL15 [GeneID=3600].","DESCRIPTION_FULL":"In this study we compared the effects of IL-2, IL-15, and IL-21 on the gene expression, activation of cell signaling pathways, and functional properties of cells derived from the CD4+ cutaneous T-cell lymphoma (CTCL). Whereas both IL-2 and IL-15 that signal through receptors that share the common gamma chain and the beta chain modulated the expression of >1,000 genes, IL-21 that signals via the receptor also containing gamma chain up-regulated <40 genes. All three cytokines induced tyrosine phosphorylation of Jak1 and Jak3. However, only IL-2 and IL-15 strongly activated STAT5, PI3K/Akt, and MEK/ERK signaling pathways. In contrast, IL-21 selectively activated STAT3. Whereas all three cytokines protected CTCL cells from apoptosis, only IL-2 and IL-15 promoted their proliferation. The effects of the cytokine stimulation were Jak3- and Jak1-kinase dependent. These findings document the vastly different impact of IL-2 and IL-15 vs. IL-21 on malignant CD4+ T cells. They also suggest two novel therapeutic approaches to CTCL and, possibly, other CD4+ T cell lymphomas: inhibition of the Jak1/Jak3 kinase complex and, given the known strong immunostimulatory properties of IL-21 on CD8+ T, NK, and B cells, application of this cytokine to boost an immune response against malignant CD4+ T cells."}
{"STANDARD_NAME":"GSE8685_IL2_ACT_IL2_STARVED_VS_IL21_ACT_IL2_STARVED_CD4_TCELL_UP","SYSTEMATIC_NAME":"M333","ORGANISM":"Homo sapiens","PMID":"18281483","AUTHORS":"Marzec M,Halasa K,Kasprzycka M,Wysocka M,Liu X,Tobias JW,Baldwin D,Zhang Q,Odum N,Rook AH,Wasik MA","GEOID":"GSE8685","EXACT_SOURCE":"GSE8685_3177_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in Sez-2 cells (T cell lymphoma): IL2 [GeneID=3558] versus IL21 [GeneID=59067].","DESCRIPTION_FULL":"In this study we compared the effects of IL-2, IL-15, and IL-21 on the gene expression, activation of cell signaling pathways, and functional properties of cells derived from the CD4+ cutaneous T-cell lymphoma (CTCL). Whereas both IL-2 and IL-15 that signal through receptors that share the common gamma chain and the beta chain modulated the expression of >1,000 genes, IL-21 that signals via the receptor also containing gamma chain up-regulated <40 genes. All three cytokines induced tyrosine phosphorylation of Jak1 and Jak3. However, only IL-2 and IL-15 strongly activated STAT5, PI3K/Akt, and MEK/ERK signaling pathways. In contrast, IL-21 selectively activated STAT3. Whereas all three cytokines protected CTCL cells from apoptosis, only IL-2 and IL-15 promoted their proliferation. The effects of the cytokine stimulation were Jak3- and Jak1-kinase dependent. These findings document the vastly different impact of IL-2 and IL-15 vs. IL-21 on malignant CD4+ T cells. They also suggest two novel therapeutic approaches to CTCL and, possibly, other CD4+ T cell lymphomas: inhibition of the Jak1/Jak3 kinase complex and, given the known strong immunostimulatory properties of IL-21 on CD8+ T, NK, and B cells, application of this cytokine to boost an immune response against malignant CD4+ T cells."}
{"STANDARD_NAME":"GSE8685_IL2_ACT_IL2_STARVED_VS_IL21_ACT_IL2_STARVED_CD4_TCELL_DN","SYSTEMATIC_NAME":"M335","ORGANISM":"Homo sapiens","PMID":"18281483","AUTHORS":"Marzec M,Halasa K,Kasprzycka M,Wysocka M,Liu X,Tobias JW,Baldwin D,Zhang Q,Odum N,Rook AH,Wasik MA","GEOID":"GSE8685","EXACT_SOURCE":"GSE8685_3177_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in Sez-2 cells (T cell lymphoma): IL2 [GeneID=3558] versus IL21 [GeneID=59067].","DESCRIPTION_FULL":"In this study we compared the effects of IL-2, IL-15, and IL-21 on the gene expression, activation of cell signaling pathways, and functional properties of cells derived from the CD4+ cutaneous T-cell lymphoma (CTCL). Whereas both IL-2 and IL-15 that signal through receptors that share the common gamma chain and the beta chain modulated the expression of >1,000 genes, IL-21 that signals via the receptor also containing gamma chain up-regulated <40 genes. All three cytokines induced tyrosine phosphorylation of Jak1 and Jak3. However, only IL-2 and IL-15 strongly activated STAT5, PI3K/Akt, and MEK/ERK signaling pathways. In contrast, IL-21 selectively activated STAT3. Whereas all three cytokines protected CTCL cells from apoptosis, only IL-2 and IL-15 promoted their proliferation. The effects of the cytokine stimulation were Jak3- and Jak1-kinase dependent. These findings document the vastly different impact of IL-2 and IL-15 vs. IL-21 on malignant CD4+ T cells. They also suggest two novel therapeutic approaches to CTCL and, possibly, other CD4+ T cell lymphomas: inhibition of the Jak1/Jak3 kinase complex and, given the known strong immunostimulatory properties of IL-21 on CD8+ T, NK, and B cells, application of this cytokine to boost an immune response against malignant CD4+ T cells."}
{"STANDARD_NAME":"GSE8685_IL15_ACT_IL2_STARVED_VS_IL21_ACT_IL2_STARVED_CD4_TCELL_UP","SYSTEMATIC_NAME":"M337","ORGANISM":"Homo sapiens","PMID":"18281483","AUTHORS":"Marzec M,Halasa K,Kasprzycka M,Wysocka M,Liu X,Tobias JW,Baldwin D,Zhang Q,Odum N,Rook AH,Wasik MA","GEOID":"GSE8685","EXACT_SOURCE":"GSE8685_3178_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in Sez-2 cells (T cell lymphoma): IL15 [GeneID=3600] versus IL21 [GeneID=3600].","DESCRIPTION_FULL":"In this study we compared the effects of IL-2, IL-15, and IL-21 on the gene expression, activation of cell signaling pathways, and functional properties of cells derived from the CD4+ cutaneous T-cell lymphoma (CTCL). Whereas both IL-2 and IL-15 that signal through receptors that share the common gamma chain and the beta chain modulated the expression of >1,000 genes, IL-21 that signals via the receptor also containing gamma chain up-regulated <40 genes. All three cytokines induced tyrosine phosphorylation of Jak1 and Jak3. However, only IL-2 and IL-15 strongly activated STAT5, PI3K/Akt, and MEK/ERK signaling pathways. In contrast, IL-21 selectively activated STAT3. Whereas all three cytokines protected CTCL cells from apoptosis, only IL-2 and IL-15 promoted their proliferation. The effects of the cytokine stimulation were Jak3- and Jak1-kinase dependent. These findings document the vastly different impact of IL-2 and IL-15 vs. IL-21 on malignant CD4+ T cells. They also suggest two novel therapeutic approaches to CTCL and, possibly, other CD4+ T cell lymphomas: inhibition of the Jak1/Jak3 kinase complex and, given the known strong immunostimulatory properties of IL-21 on CD8+ T, NK, and B cells, application of this cytokine to boost an immune response against malignant CD4+ T cells."}
{"STANDARD_NAME":"GSE8685_IL15_ACT_IL2_STARVED_VS_IL21_ACT_IL2_STARVED_CD4_TCELL_DN","SYSTEMATIC_NAME":"M338","ORGANISM":"Homo sapiens","PMID":"18281483","AUTHORS":"Marzec M,Halasa K,Kasprzycka M,Wysocka M,Liu X,Tobias JW,Baldwin D,Zhang Q,Odum N,Rook AH,Wasik MA","GEOID":"GSE8685","EXACT_SOURCE":"GSE8685_3178_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in Sez-2 cells (T cell lymphoma): IL15 [GeneID=3600] versus IL21 [GeneID=3600].","DESCRIPTION_FULL":"In this study we compared the effects of IL-2, IL-15, and IL-21 on the gene expression, activation of cell signaling pathways, and functional properties of cells derived from the CD4+ cutaneous T-cell lymphoma (CTCL). Whereas both IL-2 and IL-15 that signal through receptors that share the common gamma chain and the beta chain modulated the expression of >1,000 genes, IL-21 that signals via the receptor also containing gamma chain up-regulated <40 genes. All three cytokines induced tyrosine phosphorylation of Jak1 and Jak3. However, only IL-2 and IL-15 strongly activated STAT5, PI3K/Akt, and MEK/ERK signaling pathways. In contrast, IL-21 selectively activated STAT3. Whereas all three cytokines protected CTCL cells from apoptosis, only IL-2 and IL-15 promoted their proliferation. The effects of the cytokine stimulation were Jak3- and Jak1-kinase dependent. These findings document the vastly different impact of IL-2 and IL-15 vs. IL-21 on malignant CD4+ T cells. They also suggest two novel therapeutic approaches to CTCL and, possibly, other CD4+ T cell lymphomas: inhibition of the Jak1/Jak3 kinase complex and, given the known strong immunostimulatory properties of IL-21 on CD8+ T, NK, and B cells, application of this cytokine to boost an immune response against malignant CD4+ T cells."}
{"STANDARD_NAME":"GSE7596_AKT_TRANSD_VS_CTRL_CD4_TCONV_WITH_TGFB_UP","SYSTEMATIC_NAME":"M339","ORGANISM":"Mus musculus","PMID":"18283119","AUTHORS":"Haxhinasto S,Mathis D,Benoist C","GEOID":"GSE7596","EXACT_SOURCE":"GSE7596_3419_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in T conv in response to TGF-beta: expressing constantly active form of AKT1 [GeneID=207] versus control.","DESCRIPTION_FULL":"The CD4+Foxp3+ regulatory T cells play an essential role in maintaining tolerance via their suppressive function on conventional T cells. The intracellular signaling pathways that regulate Foxp3 expression are largely unknown. In this study we describe a novel inhibitory role for AKT in regulating de novo induction of Foxp3 both in vivo and in vitro. A constitutively active allele of AKT significantly diminished TGF-â induced Foxp3 induction via a rapamycin-sensitive pathway, establishing a role for the AKT-mTOR axis in Treg cells. Moreover, the observed impairment in Foxp3 induction was paralleled by a selective downmodulation of the imparted Treg transcriptional signature highlighting the importance of the balance of intracellular signals in Treg differentiation . Our results provide a basis for further elucidation of molecular mechanisms that regulate Foxp3 induction and identify AKT as an important negative regulator of this process."}
{"STANDARD_NAME":"GSE7596_AKT_TRANSD_VS_CTRL_CD4_TCONV_WITH_TGFB_DN","SYSTEMATIC_NAME":"M340","ORGANISM":"Mus musculus","PMID":"18283119","AUTHORS":"Haxhinasto S,Mathis D,Benoist C","GEOID":"GSE7596","EXACT_SOURCE":"GSE7596_3419_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in T conv in response to TGF-beta: expressing constantly active form of AKT1 [GeneID=207] versus control.","DESCRIPTION_FULL":"The CD4+Foxp3+ regulatory T cells play an essential role in maintaining tolerance via their suppressive function on conventional T cells. The intracellular signaling pathways that regulate Foxp3 expression are largely unknown. In this study we describe a novel inhibitory role for AKT in regulating de novo induction of Foxp3 both in vivo and in vitro. A constitutively active allele of AKT significantly diminished TGF-â induced Foxp3 induction via a rapamycin-sensitive pathway, establishing a role for the AKT-mTOR axis in Treg cells. Moreover, the observed impairment in Foxp3 induction was paralleled by a selective downmodulation of the imparted Treg transcriptional signature highlighting the importance of the balance of intracellular signals in Treg differentiation . Our results provide a basis for further elucidation of molecular mechanisms that regulate Foxp3 induction and identify AKT as an important negative regulator of this process."}
{"STANDARD_NAME":"GSE10211_UV_INACT_SENDAI_VS_LIVE_SENDAI_VIRUS_TRACHEAL_EPITHELIAL_CELLS_DN","SYSTEMATIC_NAME":"M341","ORGANISM":"Mus musculus","PMID":"18292557","AUTHORS":"Shornick LP,Wells AG,Zhang Y,Patel AC,Huang G,Takami K,Sosa M,Shukla NA,Agapov E,Holtzman MJ","GEOID":"GSE10211","EXACT_SOURCE":"GSE10211_3064_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in tracheal epithelial cells infected with UV inactivated versus intact Sendai virus.","DESCRIPTION_FULL":"Oligonucleotide microarrays were used to establish a profile for gene expression in wild-type airway epithelial cells after paramyxoviral infection. Analysis was performed on mRNA isolated from SeV-infected primary-culture mouse tracheal epithelial cells that were maintained under physiologic conditions (air-liquid interface)."}
{"STANDARD_NAME":"GSE10211_UV_INACT_SENDAI_VS_LIVE_SENDAI_VIRUS_TRACHEAL_EPITHELIAL_CELLS_UP","SYSTEMATIC_NAME":"M343","ORGANISM":"Mus musculus","PMID":"18292557","AUTHORS":"Shornick LP,Wells AG,Zhang Y,Patel AC,Huang G,Takami K,Sosa M,Shukla NA,Agapov E,Holtzman MJ","GEOID":"GSE10211","EXACT_SOURCE":"GSE10211_3064_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in tracheal epithelial cells infected with UV inactivated versus intact Sendai virus.","DESCRIPTION_FULL":"Oligonucleotide microarrays were used to establish a profile for gene expression in wild-type airway epithelial cells after paramyxoviral infection. Analysis was performed on mRNA isolated from SeV-infected primary-culture mouse tracheal epithelial cells that were maintained under physiologic conditions (air-liquid interface)."}
{"STANDARD_NAME":"GSE10147_IL3_VS_IL3_AND_HIVP17_STIM_PDC_UP","SYSTEMATIC_NAME":"M344","ORGANISM":"Homo sapiens","PMID":"18310327","AUTHORS":"Fiorentini S,Riboldi E,Facchetti F,Avolio M,Fabbri M,Tosti G,Becker PD,Guzman CA,Sozzani S,Caruso A","GEOID":"GSE10147","EXACT_SOURCE":"GSE10147_3523_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in plasmacytoid dendritic cells: IL3 [GeneID=3562] versus IL3 [GeneID=3562] and the HIV matrix protein p17.","DESCRIPTION_FULL":"We used microarrays to detail the global program of gene expression underlying the effect of p17 on human plasmacytoid dendritic cells and was compared to CpG profile."}
{"STANDARD_NAME":"GSE10147_IL3_VS_IL3_AND_HIVP17_STIM_PDC_DN","SYSTEMATIC_NAME":"M345","ORGANISM":"Homo sapiens","PMID":"18310327","AUTHORS":"Fiorentini S,Riboldi E,Facchetti F,Avolio M,Fabbri M,Tosti G,Becker PD,Guzman CA,Sozzani S,Caruso A","GEOID":"GSE10147","EXACT_SOURCE":"GSE10147_3523_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in plasmacytoid dendritic cells: IL3 [GeneID=3562] versus IL3 [GeneID=3562] and the HIV matrix protein p17.","DESCRIPTION_FULL":"We used microarrays to detail the global program of gene expression underlying the effect of p17 on human plasmacytoid dendritic cells and was compared to CpG profile."}
{"STANDARD_NAME":"GSE10147_IL3_VS_IL3_AND_CPG_STIM_PDC_UP","SYSTEMATIC_NAME":"M348","ORGANISM":"Homo sapiens","PMID":"18310327","AUTHORS":"Fiorentini S,Riboldi E,Facchetti F,Avolio M,Fabbri M,Tosti G,Becker PD,Guzman CA,Sozzani S,Caruso A","GEOID":"GSE10147","EXACT_SOURCE":"GSE10147_3524_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in plasmacytoid dendritic cells: IL3 [GeneID=3562] versus IL3 [GeneID=3562] and CpG.","DESCRIPTION_FULL":"We used microarrays to detail the global program of gene expression underlying the effect of p17 on human plasmacytoid dendritic cells and was compared to CpG profile."}
{"STANDARD_NAME":"GSE10147_IL3_AND_HIVP17_VS_IL3_AND_CPG_STIM_PDC_DN","SYSTEMATIC_NAME":"M350","ORGANISM":"Homo sapiens","PMID":"18310327","AUTHORS":"Fiorentini S,Riboldi E,Facchetti F,Avolio M,Fabbri M,Tosti G,Becker PD,Guzman CA,Sozzani S,Caruso A","GEOID":"GSE10147","EXACT_SOURCE":"GSE10147_3525_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in plasmacytoid dendritic cells treated with IL3 [GeneID=3562]: HIV matrix protein p17 versus CpG.","DESCRIPTION_FULL":"We used microarrays to detail the global program of gene expression underlying the effect of p17 on human plasmacytoid dendritic cells and was compared to CpG profile."}
{"STANDARD_NAME":"GSE10147_IL3_AND_HIVP17_VS_IL3_AND_CPG_STIM_PDC_UP","SYSTEMATIC_NAME":"M351","ORGANISM":"Homo sapiens","PMID":"18310327","AUTHORS":"Fiorentini S,Riboldi E,Facchetti F,Avolio M,Fabbri M,Tosti G,Becker PD,Guzman CA,Sozzani S,Caruso A","GEOID":"GSE10147","EXACT_SOURCE":"GSE10147_3525_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in plasmacytoid dendritic cells treated with IL3 [GeneID=3562]: HIV matrix protein p17 versus CpG.","DESCRIPTION_FULL":"We used microarrays to detail the global program of gene expression underlying the effect of p17 on human plasmacytoid dendritic cells and was compared to CpG profile."}
{"STANDARD_NAME":"GSE10147_IL3_VS_IL3_AND_CPG_STIM_PDC_DN","SYSTEMATIC_NAME":"M353","ORGANISM":"Homo sapiens","PMID":"18310327","AUTHORS":"Fiorentini S,Riboldi E,Facchetti F,Avolio M,Fabbri M,Tosti G,Becker PD,Guzman CA,Sozzani S,Caruso A","GEOID":"GSE10147","EXACT_SOURCE":"GSE10147_3524_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in plasmacytoid dendritic cells: IL3 [GeneID=3562] versus IL3 [GeneID=3562] and CpG.","DESCRIPTION_FULL":"We used microarrays to detail the global program of gene expression underlying the effect of p17 on human plasmacytoid dendritic cells and was compared to CpG profile."}
{"STANDARD_NAME":"GSE10422_WT_VS_BAFF_TRANSGENIC_LN_BCELL_DN","SYSTEMATIC_NAME":"M354","ORGANISM":"Mus musculus","PMID":"18313334","AUTHORS":"Gardam S,Sierro F,Basten A,Mackay F,Brink R","GEOID":"GSE10422","EXACT_SOURCE":"GSE10422_2451_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in wildtype B cells versus BAFF-transgenic (over-express TNFSF13B [GeneID=10673]) B cells from lymph node.","DESCRIPTION_FULL":"Tumor necrosis factor-associated factors 2 and 3 (TRAF2 and TRAF3) were shown to function in a co-operative and non-redundant manner to suppress nuclear factor-κB2 (NF-κB2) activation, gene expression and survival in mature B cells. In the absence of this suppressive activity, B cells developed independently of the obligatory B cell survival factor, BAFF (B cell activating factor of the tumor necrosis factor family). This constitutive, lineage-specific suppression of B cell survival by TRAF2 and TRAF3 determines the requirement for BAFF to sustain B cell development in vivo. We wished to investigate the effect on gene expression in B cells which lacked the negative regulators TRAF2 and TRAF3, and hence had hyperactive NF-kB2 signalling. As Baff-tg mice display a similar phenotype, and have a genetic modification which acts in the same pathway, yet further up, than TRAF2 and TRAF3, we wished to compare and contrast Baff-tg B cells with TRAF2 and TRAF3 deficient B cells. This analysis should identify genes that are important in B cell survival."}
{"STANDARD_NAME":"GSE10422_WT_VS_BAFF_TRANSGENIC_LN_BCELL_UP","SYSTEMATIC_NAME":"M357","ORGANISM":"Mus musculus","PMID":"18313334","AUTHORS":"Gardam S,Sierro F,Basten A,Mackay F,Brink R","GEOID":"GSE10422","EXACT_SOURCE":"GSE10422_2451_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in wildtype B cells versus BAFF-transgenic (over-express TNFSF13B [GeneID=10673]) B cells from lymph node.","DESCRIPTION_FULL":"Tumor necrosis factor-associated factors 2 and 3 (TRAF2 and TRAF3) were shown to function in a co-operative and non-redundant manner to suppress nuclear factor-κB2 (NF-κB2) activation, gene expression and survival in mature B cells. In the absence of this suppressive activity, B cells developed independently of the obligatory B cell survival factor, BAFF (B cell activating factor of the tumor necrosis factor family). This constitutive, lineage-specific suppression of B cell survival by TRAF2 and TRAF3 determines the requirement for BAFF to sustain B cell development in vivo. We wished to investigate the effect on gene expression in B cells which lacked the negative regulators TRAF2 and TRAF3, and hence had hyperactive NF-kB2 signalling. As Baff-tg mice display a similar phenotype, and have a genetic modification which acts in the same pathway, yet further up, than TRAF2 and TRAF3, we wished to compare and contrast Baff-tg B cells with TRAF2 and TRAF3 deficient B cells. This analysis should identify genes that are important in B cell survival."}
{"STANDARD_NAME":"GSE10500_ARTHRITIC_SYNOVIAL_FLUID_VS_HEALTHY_MACROPHAGE_UP","SYSTEMATIC_NAME":"M358","ORGANISM":"Homo sapiens","PMID":"18345002","AUTHORS":"Yarilina A,Park-Min KH,Antoniv T,Hu X,Ivashkiv LB","GEOID":"GSE10500","EXACT_SOURCE":"GSE10500_2635_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages from patients with synovial fluid rheumatoid arthritis versus monocyte-derived macrophages from healthy persons.","DESCRIPTION_FULL":"Macrophages from RA synovial fluids were compared to primary human blood-derived macrophages."}
{"STANDARD_NAME":"GSE10500_ARTHRITIC_SYNOVIAL_FLUID_VS_HEALTHY_MACROPHAGE_DN","SYSTEMATIC_NAME":"M359","ORGANISM":"Homo sapiens","PMID":"18345002","AUTHORS":"Yarilina A,Park-Min KH,Antoniv T,Hu X,Ivashkiv LB","GEOID":"GSE10500","EXACT_SOURCE":"GSE10500_2635_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages from patients with synovial fluid rheumatoid arthritis versus monocyte-derived macrophages from healthy persons.","DESCRIPTION_FULL":"Macrophages from RA synovial fluids were compared to primary human blood-derived macrophages."}
{"STANDARD_NAME":"GSE7568_CTRL_VS_3H_TGFB_TREATED_MACROPHAGES_WITH_IL4_AND_DEXAMETHASONE_UP","SYSTEMATIC_NAME":"M360","ORGANISM":"Homo sapiens","PMID":"18453574","AUTHORS":"Gratchev A,Kzhyshkowska J,Kannookadan S,Ochsenreiter M,Popova A,Yu X,Mamidi S,Stonehouse-Usselmann E,Muller-Molinet I,Gooi L,Goerdt S","GEOID":"GSE7568","EXACT_SOURCE":"GSE7568_2503_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages differentiated in the presence of IL4 [GeneID=3565] and dexamethasone [PubChem=5743] for 5 days versus those subsequently treated with TGFB1 [GeneID=7040] for 3h.","DESCRIPTION_FULL":"The goal of the study was to identify the effects of TGF-beta on primary human macrophages maturated under different conditions."}
{"STANDARD_NAME":"GSE7568_CTRL_VS_3H_TGFB_TREATED_MACROPHAGES_WITH_IL4_AND_DEXAMETHASONE_DN","SYSTEMATIC_NAME":"M361","ORGANISM":"Homo sapiens","PMID":"18453574","AUTHORS":"Gratchev A,Kzhyshkowska J,Kannookadan S,Ochsenreiter M,Popova A,Yu X,Mamidi S,Stonehouse-Usselmann E,Muller-Molinet I,Gooi L,Goerdt S","GEOID":"GSE7568","EXACT_SOURCE":"GSE7568_2503_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages differentiated in the presence of IL4 [GeneID=3565] and dexamethasone [PubChem=5743] for 5 days versus those subsequently treated with TGFB1 [GeneID=7040] for 3h.","DESCRIPTION_FULL":"The goal of the study was to identify the effects of TGF-beta on primary human macrophages maturated under different conditions."}
{"STANDARD_NAME":"GSE7568_CTRL_VS_24H_TGFB_TREATED_MACROPHAGES_WITH_IL4_AND_DEXAMETHASONE_UP","SYSTEMATIC_NAME":"M363","ORGANISM":"Homo sapiens","PMID":"18453574","AUTHORS":"Gratchev A,Kzhyshkowska J,Kannookadan S,Ochsenreiter M,Popova A,Yu X,Mamidi S,Stonehouse-Usselmann E,Muller-Molinet I,Gooi L,Goerdt S","GEOID":"GSE7568","EXACT_SOURCE":"GSE7568_2504_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages differentiated in the presence of IL4 [GeneID=3565] and dexamethasone [PubChem=5743] for 5 days versus those subsequently treated with TGFB1 [GeneID=7040] for 24h.","DESCRIPTION_FULL":"The goal of the study was to identify the effects of TGF-beta on primary human macrophages maturated under different conditions."}
{"STANDARD_NAME":"GSE7568_CTRL_VS_24H_TGFB_TREATED_MACROPHAGES_WITH_IL4_AND_DEXAMETHASONE_DN","SYSTEMATIC_NAME":"M364","ORGANISM":"Homo sapiens","PMID":"18453574","AUTHORS":"Gratchev A,Kzhyshkowska J,Kannookadan S,Ochsenreiter M,Popova A,Yu X,Mamidi S,Stonehouse-Usselmann E,Muller-Molinet I,Gooi L,Goerdt S","GEOID":"GSE7568","EXACT_SOURCE":"GSE7568_2504_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages differentiated in the presence of IL4 [GeneID=3565] and dexamethasone [PubChem=5743] for 5 days versus those subsequently treated with TGFB1 [GeneID=7040] for 24h.","DESCRIPTION_FULL":"The goal of the study was to identify the effects of TGF-beta on primary human macrophages maturated under different conditions."}
{"STANDARD_NAME":"GSE7568_IL4_VS_IL4_AND_TGFB_TREATED_MACROPHAGE_24H_UP","SYSTEMATIC_NAME":"M365","ORGANISM":"Homo sapiens","PMID":"18453574","AUTHORS":"Gratchev A,Kzhyshkowska J,Kannookadan S,Ochsenreiter M,Popova A,Yu X,Mamidi S,Stonehouse-Usselmann E,Muller-Molinet I,Gooi L,Goerdt S","GEOID":"GSE7568","EXACT_SOURCE":"GSE7568_2505_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages differentiated in the presence of IL4 [GeneID=3565] for 5 days versus those subsequently treated with TGFB1 [GeneID=7040] for 24h.","DESCRIPTION_FULL":"The goal of the study was to identify the effects of TGF-beta on primary human macrophages maturated under different conditions."}
{"STANDARD_NAME":"GSE7568_IL4_VS_IL4_AND_TGFB_TREATED_MACROPHAGE_24H_DN","SYSTEMATIC_NAME":"M367","ORGANISM":"Homo sapiens","PMID":"18453574","AUTHORS":"Gratchev A,Kzhyshkowska J,Kannookadan S,Ochsenreiter M,Popova A,Yu X,Mamidi S,Stonehouse-Usselmann E,Muller-Molinet I,Gooi L,Goerdt S","GEOID":"GSE7568","EXACT_SOURCE":"GSE7568_2505_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages differentiated in the presence of IL4 [GeneID=3565] for 5 days versus those subsequently treated with TGFB1 [GeneID=7040] for 24h.","DESCRIPTION_FULL":"The goal of the study was to identify the effects of TGF-beta on primary human macrophages maturated under different conditions."}
{"STANDARD_NAME":"GSE7568_IL4_VS_IL4_AND_DEXAMETHASONE_TREATED_MACROPHAGE_UP","SYSTEMATIC_NAME":"M368","ORGANISM":"Homo sapiens","PMID":"18453574","AUTHORS":"Gratchev A,Kzhyshkowska J,Kannookadan S,Ochsenreiter M,Popova A,Yu X,Mamidi S,Stonehouse-Usselmann E,Muller-Molinet I,Gooi L,Goerdt S","GEOID":"GSE7568","EXACT_SOURCE":"GSE7568_2506_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages differentiated for 5 days in the presence of: IL4 [GeneID=3565] versus IL4 [GeneID=3565] and dexamethasone [PubChem=5743].","DESCRIPTION_FULL":"The goal of the study was to identify the effects of TGF-beta on primary human macrophages maturated under different conditions."}
{"STANDARD_NAME":"GSE7568_IL4_VS_IL4_AND_DEXAMETHASONE_TREATED_MACROPHAGE_DN","SYSTEMATIC_NAME":"M369","ORGANISM":"Homo sapiens","PMID":"18453574","AUTHORS":"Gratchev A,Kzhyshkowska J,Kannookadan S,Ochsenreiter M,Popova A,Yu X,Mamidi S,Stonehouse-Usselmann E,Muller-Molinet I,Gooi L,Goerdt S","GEOID":"GSE7568","EXACT_SOURCE":"GSE7568_2506_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages differentiated for 5 days in the presence of: IL4 [GeneID=3565] versus IL4 [GeneID=3565] and dexamethasone [PubChem=5743].","DESCRIPTION_FULL":"The goal of the study was to identify the effects of TGF-beta on primary human macrophages maturated under different conditions."}
{"STANDARD_NAME":"GSE7568_IL4_TGFB_DEXAMETHASONE_VS_IL4_TGFB_TREATED_MACROPHAGE_UP","SYSTEMATIC_NAME":"M370","ORGANISM":"Homo sapiens","PMID":"18453574","AUTHORS":"Gratchev A,Kzhyshkowska J,Kannookadan S,Ochsenreiter M,Popova A,Yu X,Mamidi S,Stonehouse-Usselmann E,Muller-Molinet I,Gooi L,Goerdt S","GEOID":"GSE7568","EXACT_SOURCE":"GSE7568_2507_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages: 5 days with IL4 [GeneID=3565] and dexamethasone [PubChem=5743] followed by TGFB1 [GeneID=7040] for 24h versus 5 days with IL4 [GeneID=3565] followed by TGFB1 [GeneID=7040] for 24h.","DESCRIPTION_FULL":"The goal of the study was to identify the effects of TGF-beta on primary human macrophages maturated under different conditions."}
{"STANDARD_NAME":"GSE7568_IL4_TGFB_DEXAMETHASONE_VS_IL4_TGFB_TREATED_MACROPHAGE_DN","SYSTEMATIC_NAME":"M371","ORGANISM":"Homo sapiens","PMID":"18453574","AUTHORS":"Gratchev A,Kzhyshkowska J,Kannookadan S,Ochsenreiter M,Popova A,Yu X,Mamidi S,Stonehouse-Usselmann E,Muller-Molinet I,Gooi L,Goerdt S","GEOID":"GSE7568","EXACT_SOURCE":"GSE7568_2507_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages: 5 days with IL4 [GeneID=3565] and dexamethasone [PubChem=5743] followed by TGFB1 [GeneID=7040] for 24h versus 5 days with IL4 [GeneID=3565] followed by TGFB1 [GeneID=7040] for 24h.","DESCRIPTION_FULL":"The goal of the study was to identify the effects of TGF-beta on primary human macrophages maturated under different conditions."}
{"STANDARD_NAME":"GSE11386_NAIVE_VS_MEMORY_BCELL_DN","SYSTEMATIC_NAME":"M372","ORGANISM":"Mus musculus","PMID":"18566367","AUTHORS":"Tomayko MM,Anderson SM,Brayton CE,Sadanand S,Steinel NC,Behrens TW,Shlomchik MJ","GEOID":"GSE11386","EXACT_SOURCE":"GSE11386_3027_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in B lymphocytes: naïve versus memory.","DESCRIPTION_FULL":"Memory B cells play essential roles in the maintenance of long-term immunity and may be important in the pathogenesis of autoimmune disease, but how these cells are distinguished from their naïve precursors is poorly understood. To address this, it would be important to understand how gene expression differs between memory and naive B cells in order to elucidate memory-specific functions. Using model systems that help overcome the lack of murine memory-specific markers and the low frequency of antigen-specific memory and naïve cells, we undertook a global comparison of gene expression between memory B cells and their naive precursors. 1st generation screen: These data represent our first generation comparison of gene expression between murine naïve and memory splenic B cells. Naïve NP-binding splenic B cells were FACS purified from unimmunized mVh186.2 transgenic Balb/c mice. Memory B cells were generated by immunizing mVh186.2 transgenic Balb/c mice with 2 doses of NP-CGG in alum delivered i.p. 6 weeks apart. After a minimum of 12-weeks rest, NP-binding splenic B cells were isolated by FACS. Total RNA was extracted, cRNA synthesized and labeled and hybridized to Affymetrix mouse 430 2.0 chips. 2nd generation screen: These data represent our second generation comparison of gene expression between murine naïve and memory splenic B cells. Naïve NP-binding AA4.1neg splenic B cells were FACS purified from unimmunized mVh186.2 transgenic Jk KO Balb/c mice. Memory B cells were generated from these naive precursors after adoptive transfer into recipients that mount poor endogenous NP-responses. 12-weeks post i.p. immunization with NP-CGG in alum, NP-specific splenic memory B cells were isolated by FACS. Total RNA was extracted, cRNA synthesized and labeled and hybridized to Affymetrix mouse 430 2.0 chips. Memory/Naïve comparison data linked below as Supplementary files. "}
{"STANDARD_NAME":"GSE11386_NAIVE_VS_MEMORY_BCELL_UP","SYSTEMATIC_NAME":"M374","ORGANISM":"Mus musculus","PMID":"18566367","AUTHORS":"Tomayko MM,Anderson SM,Brayton CE,Sadanand S,Steinel NC,Behrens TW,Shlomchik MJ","GEOID":"GSE11386","EXACT_SOURCE":"GSE11386_3027_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in B lymphocytes: naïve versus memory.","DESCRIPTION_FULL":"Memory B cells play essential roles in the maintenance of long-term immunity and may be important in the pathogenesis of autoimmune disease, but how these cells are distinguished from their naïve precursors is poorly understood. To address this, it would be important to understand how gene expression differs between memory and naive B cells in order to elucidate memory-specific functions. Using model systems that help overcome the lack of murine memory-specific markers and the low frequency of antigen-specific memory and naïve cells, we undertook a global comparison of gene expression between memory B cells and their naive precursors. 1st generation screen: These data represent our first generation comparison of gene expression between murine naïve and memory splenic B cells. Naïve NP-binding splenic B cells were FACS purified from unimmunized mVh186.2 transgenic Balb/c mice. Memory B cells were generated by immunizing mVh186.2 transgenic Balb/c mice with 2 doses of NP-CGG in alum delivered i.p. 6 weeks apart. After a minimum of 12-weeks rest, NP-binding splenic B cells were isolated by FACS. Total RNA was extracted, cRNA synthesized and labeled and hybridized to Affymetrix mouse 430 2.0 chips. 2nd generation screen: These data represent our second generation comparison of gene expression between murine naïve and memory splenic B cells. Naïve NP-binding AA4.1neg splenic B cells were FACS purified from unimmunized mVh186.2 transgenic Jk KO Balb/c mice. Memory B cells were generated from these naive precursors after adoptive transfer into recipients that mount poor endogenous NP-responses. 12-weeks post i.p. immunization with NP-CGG in alum, NP-specific splenic memory B cells were isolated by FACS. Total RNA was extracted, cRNA synthesized and labeled and hybridized to Affymetrix mouse 430 2.0 chips. Memory/Naïve comparison data linked below as Supplementary files. "}
{"STANDARD_NAME":"GSE7219_WT_VS_NIK_NFKB2_KO_DC_UP","SYSTEMATIC_NAME":"M377","ORGANISM":"Mus musculus","PMID":"18566401","AUTHORS":"Lind EF,Ahonen CL,Wasiuk A,Kosaka Y,Becher B,Bennett KA,Noelle RJ","GEOID":"GSE7219","EXACT_SOURCE":"GSE7219_3082_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in dendritic cells: wildtype versus NFKB2 [GeneID=4791].","DESCRIPTION_FULL":"This study aims at identifying genes that are NIK/NF-kappaB2 responsive in murine dendritic cells matured in vivo."}
{"STANDARD_NAME":"GSE7219_WT_VS_NIK_NFKB2_KO_DC_DN","SYSTEMATIC_NAME":"M379","ORGANISM":"Mus musculus","PMID":"18566401","AUTHORS":"Lind EF,Ahonen CL,Wasiuk A,Kosaka Y,Becher B,Bennett KA,Noelle RJ","GEOID":"GSE7219","EXACT_SOURCE":"GSE7219_3082_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in dendritic cells: wildtype versus NFKB2 [GeneID=4791].","DESCRIPTION_FULL":"This study aims at identifying genes that are NIK/NF-kappaB2 responsive in murine dendritic cells matured in vivo."}
{"STANDARD_NAME":"GSE7219_UNSTIM_VS_LPS_AND_ANTI_CD40_STIM_DC_UP","SYSTEMATIC_NAME":"M380","ORGANISM":"Mus musculus","PMID":"18566401","AUTHORS":"Lind EF,Ahonen CL,Wasiuk A,Kosaka Y,Becher B,Bennett KA,Noelle RJ","GEOID":"GSE7219","EXACT_SOURCE":"GSE7219_3083_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in dendric cells: untreated versus LPS and anti-CD40.","DESCRIPTION_FULL":"This study aims at identifying genes that are NIK/NF-kappaB2 responsive in murine dendritic cells matured in vivo."}
{"STANDARD_NAME":"GSE7219_UNSTIM_VS_LPS_AND_ANTI_CD40_STIM_DC_DN","SYSTEMATIC_NAME":"M381","ORGANISM":"Mus musculus","PMID":"18566401","AUTHORS":"Lind EF,Ahonen CL,Wasiuk A,Kosaka Y,Becher B,Bennett KA,Noelle RJ","GEOID":"GSE7219","EXACT_SOURCE":"GSE7219_3083_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in dendric cells: untreated versus LPS and anti-CD40.","DESCRIPTION_FULL":"This study aims at identifying genes that are NIK/NF-kappaB2 responsive in murine dendritic cells matured in vivo."}
{"STANDARD_NAME":"GSE7219_UNSTIM_VS_LPS_AND_ANTI_CD40_STIM_NIK_NFKB2_KO_DC_UP","SYSTEMATIC_NAME":"M383","ORGANISM":"Mus musculus","PMID":"18566401","AUTHORS":"Lind EF,Ahonen CL,Wasiuk A,Kosaka Y,Becher B,Bennett KA,Noelle RJ","GEOID":"GSE7219","EXACT_SOURCE":"GSE7219_3084_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in dendritic cell NIK NFkB2-KO versus dendritic cell NIK NFkB2-KO LPS and anti-CD40 stimulated.","DESCRIPTION_FULL":"This study aims at identifying genes that are NIK/NF-kappaB2 responsive in murine dendritic cells matured in vivo."}
{"STANDARD_NAME":"GSE7219_UNSTIM_VS_LPS_AND_ANTI_CD40_STIM_NIK_NFKB2_KO_DC_DN","SYSTEMATIC_NAME":"M384","ORGANISM":"Mus musculus","PMID":"18566401","AUTHORS":"Lind EF,Ahonen CL,Wasiuk A,Kosaka Y,Becher B,Bennett KA,Noelle RJ","GEOID":"GSE7219","EXACT_SOURCE":"GSE7219_3084_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in dendritic cell NIK NFkB2-KO versus dendritic cell NIK NFkB2-KO LPS and anti-CD40 stimulated.","DESCRIPTION_FULL":"This study aims at identifying genes that are NIK/NF-kappaB2 responsive in murine dendritic cells matured in vivo."}
{"STANDARD_NAME":"GSE7219_WT_VS_NIK_NFKB2_KO_LPS_AND_ANTI_CD40_STIM_DC_UP","SYSTEMATIC_NAME":"M385","ORGANISM":"Mus musculus","PMID":"18566401","AUTHORS":"Lind EF,Ahonen CL,Wasiuk A,Kosaka Y,Becher B,Bennett KA,Noelle RJ","GEOID":"GSE7219","EXACT_SOURCE":"GSE7219_3085_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in dendritic cell wildtype LPS and anti-CD40 stimulated versus dendritic cell NIK NFkB2-KO LPS and anti-CD40 stimulated.","DESCRIPTION_FULL":"This study aims at identifying genes that are NIK/NF-kappaB2 responsive in murine dendritic cells matured in vivo."}
{"STANDARD_NAME":"GSE7219_WT_VS_NIK_NFKB2_KO_LPS_AND_ANTI_CD40_STIM_DC_DN","SYSTEMATIC_NAME":"M386","ORGANISM":"Mus musculus","PMID":"18566401","AUTHORS":"Lind EF,Ahonen CL,Wasiuk A,Kosaka Y,Becher B,Bennett KA,Noelle RJ","GEOID":"GSE7219","EXACT_SOURCE":"GSE7219_3085_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in dendritic cell wildtype LPS and anti-CD40 stimulated versus dendritic cell NIK NFkB2-KO LPS and anti-CD40 stimulated.","DESCRIPTION_FULL":"This study aims at identifying genes that are NIK/NF-kappaB2 responsive in murine dendritic cells matured in vivo."}
{"STANDARD_NAME":"GSE12003_MIR223_KO_VS_WT_BM_PROGENITOR_4D_CULTURE_UP","SYSTEMATIC_NAME":"M387","ORGANISM":"Mus musculus","PMID":"18668037","AUTHORS":"Baek D,Villén J,Shin C,Camargo FD,Gygi SP,Bartel DP","GEOID":"GSE12003","EXACT_SOURCE":"GSE12003_2896_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in 4 day cultures of bone marrow progenitors: wildtype versus MIR223 [GeneID=407008] knockout.","DESCRIPTION_FULL":"This array analysis is to study developmental time course of the regulation of target messages’ expression during culture of murine neutrophils versus miR-223 null neutrophils. Culture media was SILAC-IMDM for MS analysis."}
{"STANDARD_NAME":"GSE11973_MIR223_KOVS_WT_BONE_MARROW_NEUTROPHIL_UP","SYSTEMATIC_NAME":"M388","ORGANISM":"Mus musculus","PMID":"18668037","AUTHORS":"Baek D,Villén J,Shin C,Camargo FD,Gygi SP,Bartel DP","GEOID":"GSE11973","EXACT_SOURCE":"GSE11973_2666_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in neutrophils from MIR223 [GeneID=407008] bone marrow versus the wildtype cells.","DESCRIPTION_FULL":"This array analysis is to study the regulation of target messages’ expression in in vitro cultured murine neutrophils versus miR-223 null neutrophils. Culture media was SILAC-IMDM for MS analysis."}
{"STANDARD_NAME":"GSE12003_MIR223_KO_VS_WT_BM_PROGENITOR_4D_CULTURE_DN","SYSTEMATIC_NAME":"M390","ORGANISM":"Mus musculus","PMID":"18668037","AUTHORS":"Baek D,Villén J,Shin C,Camargo FD,Gygi SP,Bartel DP","GEOID":"GSE12003","EXACT_SOURCE":"GSE12003_2896_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in 4 day cultures of bone marrow progenitors: wildtype versus MIR223 [GeneID=407008] knockout.","DESCRIPTION_FULL":"This array analysis is to study developmental time course of the regulation of target messages’ expression during culture of murine neutrophils versus miR-223 null neutrophils. Culture media was SILAC-IMDM for MS analysis."}
{"STANDARD_NAME":"GSE12001_MIR223_KO_VS_WT_NEUTROPHIL_DN","SYSTEMATIC_NAME":"M391","ORGANISM":"Mus musculus","PMID":"18668037","AUTHORS":"Baek D,Villén J,Shin C,Camargo FD,Gygi SP,Bartel DP","GEOID":"GSE12001","EXACT_SOURCE":"GSE12001_2883_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in neutrophils: MIR223 [GeneID=407008] knockout versus wildtype.","DESCRIPTION_FULL":"This array analysis is to study the regulation of target messages’ expression in murine neutrophils versus miR-223 null neutrophils."}
{"STANDARD_NAME":"GSE12003_MIR223_KO_VS_WT_BM_PROGENITOR_8D_CULTURE_DN","SYSTEMATIC_NAME":"M392","ORGANISM":"Mus musculus","PMID":"18668037","AUTHORS":"Baek D,Villén J,Shin C,Camargo FD,Gygi SP,Bartel DP","GEOID":"GSE12003","EXACT_SOURCE":"GSE12003_2897_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in 8 day cultures of bone marrow progenitors: wildtype versus MIR223 [GeneID=407008] knockout.","DESCRIPTION_FULL":"This array analysis is to study developmental time course of the regulation of target messages’ expression during culture of murine neutrophils versus miR-223 null neutrophils. Culture media was SILAC-IMDM for MS analysis."}
{"STANDARD_NAME":"GSE11973_MIR223_KOVS_WT_BONE_MARROW_NEUTROPHIL_DN","SYSTEMATIC_NAME":"M394","ORGANISM":"Mus musculus","PMID":"18668037","AUTHORS":"Baek D,Villén J,Shin C,Camargo FD,Gygi SP,Bartel DP","GEOID":"GSE11973","EXACT_SOURCE":"GSE11973_2666_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in neutrophils from MIR223 [GeneID=407008] bone marrow versus the wildtype cells.","DESCRIPTION_FULL":"This array analysis is to study the regulation of target messages’ expression in in vitro cultured murine neutrophils versus miR-223 null neutrophils. Culture media was SILAC-IMDM for MS analysis."}
{"STANDARD_NAME":"GSE12003_MIR223_KO_VS_WT_BM_PROGENITOR_8D_CULTURE_UP","SYSTEMATIC_NAME":"M395","ORGANISM":"Mus musculus","PMID":"18668037","AUTHORS":"Baek D,Villén J,Shin C,Camargo FD,Gygi SP,Bartel DP","GEOID":"GSE12003","EXACT_SOURCE":"GSE12003_2897_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in 8 day cultures of bone marrow progenitors: wildtype versus MIR223 [GeneID=407008] knockout.","DESCRIPTION_FULL":"This array analysis is to study developmental time course of the regulation of target messages’ expression during culture of murine neutrophils versus miR-223 null neutrophils. Culture media was SILAC-IMDM for MS analysis."}
{"STANDARD_NAME":"GSE12001_MIR223_KO_VS_WT_NEUTROPHIL_UP","SYSTEMATIC_NAME":"M396","ORGANISM":"Mus musculus","PMID":"18668037","AUTHORS":"Baek D,Villén J,Shin C,Camargo FD,Gygi SP,Bartel DP","GEOID":"GSE12001","EXACT_SOURCE":"GSE12001_2883_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in neutrophils: MIR223 [GeneID=407008] knockout versus wildtype.","DESCRIPTION_FULL":"This array analysis is to study the regulation of target messages’ expression in murine neutrophils versus miR-223 null neutrophils."}
{"STANDARD_NAME":"GSE12003_4D_VS_8D_CULTURE_BM_PROGENITOR_UP","SYSTEMATIC_NAME":"M397","ORGANISM":"Mus musculus","PMID":"18668037","AUTHORS":"Baek D,Villén J,Shin C,Camargo FD,Gygi SP,Bartel DP","GEOID":"GSE12003","EXACT_SOURCE":"GSE12003_2898_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in of bone marrow progenitors: 4- versus 8-day cultures.","DESCRIPTION_FULL":"This array analysis is to study developmental time course of the regulation of target messages’ expression during culture of murine neutrophils versus miR-223 null neutrophils. Culture media was SILAC-IMDM for MS analysis."}
{"STANDARD_NAME":"GSE12003_4D_VS_8D_CULTURE_MIR223_KO_BM_PROGENITOR_DN","SYSTEMATIC_NAME":"M403","ORGANISM":"Mus musculus","PMID":"18668037","AUTHORS":"Baek D,Villén J,Shin C,Camargo FD,Gygi SP,Bartel DP","GEOID":"GSE12003","EXACT_SOURCE":"GSE12003_2899_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in of bone marrow progenitors with MIR223 [GeneID=407008] knockout: 4- versus 8-day cultures.","DESCRIPTION_FULL":"This array analysis is to study developmental time course of the regulation of target messages’ expression during culture of murine neutrophils versus miR-223 null neutrophils. Culture media was SILAC-IMDM for MS analysis."}
{"STANDARD_NAME":"GSE12003_4D_VS_8D_CULTURE_MIR223_KO_BM_PROGENITOR_UP","SYSTEMATIC_NAME":"M405","ORGANISM":"Mus musculus","PMID":"18668037","AUTHORS":"Baek D,Villén J,Shin C,Camargo FD,Gygi SP,Bartel DP","GEOID":"GSE12003","EXACT_SOURCE":"GSE12003_2899_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in of bone marrow progenitors with MIR223 [GeneID=407008] knockout: 4- versus 8-day cultures.","DESCRIPTION_FULL":"This array analysis is to study developmental time course of the regulation of target messages’ expression during culture of murine neutrophils versus miR-223 null neutrophils. Culture media was SILAC-IMDM for MS analysis."}
{"STANDARD_NAME":"GSE12003_4D_VS_8D_CULTURE_BM_PROGENITOR_DN","SYSTEMATIC_NAME":"M406","ORGANISM":"Mus musculus","PMID":"18668037","AUTHORS":"Baek D,Villén J,Shin C,Camargo FD,Gygi SP,Bartel DP","GEOID":"GSE12003","EXACT_SOURCE":"GSE12003_2898_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in of bone marrow progenitors: 4- versus 8-day cultures.","DESCRIPTION_FULL":"This array analysis is to study developmental time course of the regulation of target messages’ expression during culture of murine neutrophils versus miR-223 null neutrophils. Culture media was SILAC-IMDM for MS analysis."}
{"STANDARD_NAME":"GSE11884_WT_VS_FURIN_KO_NAIVE_CD4_TCELL_UP","SYSTEMATIC_NAME":"M407","ORGANISM":"Mus musculus","PMID":"18701887","AUTHORS":"Pesu M,Watford WT,Wei L,Xu L,Fuss I,Strober W,Andersson J,Shevach EM,Quezado M,Bouladoux N,Roebroek A,Belkaid Y,Creemers J,O'Shea JJ","GEOID":"GSE11884","EXACT_SOURCE":"GSE11884_2701_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in naïve wildtype CD4 [GeneID=920] T cells versus those from T cell specific FURIN [GeneID=5045] knockout mice.","DESCRIPTION_FULL":"Furin is a proprotein convertase induced in activated T cells, reported to processes the anti-inflammatory cytokine TGFb-1. Herein, we show that conditional deletion of furin in T cells allowed for normal T cell development but impaired the function of regulatory T cells and effector cells, which produced less TGFb-1. Furin-deficient Treg cells, were less protective in a T cell transfer colitis model and failed to induce Foxp3 in normal T cells. Furin-deficient effector cells were inherently overly active and were resistant to suppressive activity of wild-type Tregs. Thus, our results indicate that furin is indispensable in maintaining peripheral tolerance, which is due, at least in part, to its nonredundant, essential function in regulating TGFb-1 production. Targeting furin has emerged as a strategy in malignant and infectious disease. The current work suggests that inhibiting furin might activate immune responses, but may result in a breakdown in peripheral tolerance."}
{"STANDARD_NAME":"GSE11884_WT_VS_FURIN_KO_NAIVE_CD4_TCELL_DN","SYSTEMATIC_NAME":"M410","ORGANISM":"Mus musculus","PMID":"18701887","AUTHORS":"Pesu M,Watford WT,Wei L,Xu L,Fuss I,Strober W,Andersson J,Shevach EM,Quezado M,Bouladoux N,Roebroek A,Belkaid Y,Creemers J,O'Shea JJ","GEOID":"GSE11884","EXACT_SOURCE":"GSE11884_2701_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in naïve wildtype CD4 [GeneID=920] T cells versus those from T cell specific FURIN [GeneID=5045] knockout mice.","DESCRIPTION_FULL":"Furin is a proprotein convertase induced in activated T cells, reported to processes the anti-inflammatory cytokine TGFb-1. Herein, we show that conditional deletion of furin in T cells allowed for normal T cell development but impaired the function of regulatory T cells and effector cells, which produced less TGFb-1. Furin-deficient Treg cells, were less protective in a T cell transfer colitis model and failed to induce Foxp3 in normal T cells. Furin-deficient effector cells were inherently overly active and were resistant to suppressive activity of wild-type Tregs. Thus, our results indicate that furin is indispensable in maintaining peripheral tolerance, which is due, at least in part, to its nonredundant, essential function in regulating TGFb-1 production. Targeting furin has emerged as a strategy in malignant and infectious disease. The current work suggests that inhibiting furin might activate immune responses, but may result in a breakdown in peripheral tolerance."}
{"STANDARD_NAME":"GSE11818_WT_VS_DICER_KO_TREG_DN","SYSTEMATIC_NAME":"M411","ORGANISM":"Mus musculus","PMID":"18725525","AUTHORS":"Zhou X,Jeker LT,Fife BT,Zhu S,Anderson MS,McManus MT,Bluestone JA","GEOID":"GSE11818","EXACT_SOURCE":"GSE11818_3401_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in T reg: wildtype versus DICER1 [GeneID=23405] knockout.","DESCRIPTION_FULL":"A new Treg-specific, FoxP3-GFP-hCre BAC transgenic was crossed to a conditional Dicer knock-out mouse strain to analyze the role of microRNAs (miRNA) in the development and function of regulatory T cells (Tregs). Although thymic Tregs developed normally in this setting, the cells showed evidence of altered differentiation and dysfunction in the periphery. Dicer-deficient Treg lineage cells failed to remain stable as a subset of cells down-regulated the Treg-specific transcription factor, FoxP3, while the majority expressed altered levels of multiple genes and proteins (including Neuropilin 1, GITR and CTLA-4) associated with the Treg fingerprint. In fact, a significant percentage of the Treg lineage cells took on a Th memory phenotype including increased levels of CD127, IL-4, and interferon-g. Importantly, Dicer-deficient Tregs lost suppression activity in vivo; the mice rapidly developed fatal systemic autoimmune disease resembling the FoxP3 knockout phenotype. These results support a central role for miRNAs in maintaining the stability of differentiated Treg function in vivo and homeostasis of the adaptive immune system."}
{"STANDARD_NAME":"GSE11818_WT_VS_DICER_KO_TREG_UP","SYSTEMATIC_NAME":"M412","ORGANISM":"Mus musculus","PMID":"18725525","AUTHORS":"Zhou X,Jeker LT,Fife BT,Zhu S,Anderson MS,McManus MT,Bluestone JA","GEOID":"GSE11818","EXACT_SOURCE":"GSE11818_3401_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in T reg: wildtype versus DICER1 [GeneID=23405] knockout.","DESCRIPTION_FULL":"A new Treg-specific, FoxP3-GFP-hCre BAC transgenic was crossed to a conditional Dicer knock-out mouse strain to analyze the role of microRNAs (miRNA) in the development and function of regulatory T cells (Tregs). Although thymic Tregs developed normally in this setting, the cells showed evidence of altered differentiation and dysfunction in the periphery. Dicer-deficient Treg lineage cells failed to remain stable as a subset of cells down-regulated the Treg-specific transcription factor, FoxP3, while the majority expressed altered levels of multiple genes and proteins (including Neuropilin 1, GITR and CTLA-4) associated with the Treg fingerprint. In fact, a significant percentage of the Treg lineage cells took on a Th memory phenotype including increased levels of CD127, IL-4, and interferon-g. Importantly, Dicer-deficient Tregs lost suppression activity in vivo; the mice rapidly developed fatal systemic autoimmune disease resembling the FoxP3 knockout phenotype. These results support a central role for miRNAs in maintaining the stability of differentiated Treg function in vivo and homeostasis of the adaptive immune system."}
{"STANDARD_NAME":"GSE9946_IMMATURE_VS_MATURE_STIMULATORY_DC_UP","SYSTEMATIC_NAME":"M415","ORGANISM":"Homo sapiens","PMID":"18802101","AUTHORS":"Popov A,Driesen J,Abdullah Z,Wickenhauser C,Beyer M,Debey-Pascher S,Saric T,Kummer S,Takikawa O,Domann E,Chakraborty T,Krönke M,Utermöhlen O,Schultze JL","GEOID":"GSE9946","EXACT_SOURCE":"GSE9946_2753_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in dendritic cells: immature versus mature stimulatory.","DESCRIPTION_FULL":"Myeloid dendritic cells (DC) and macrophages play an important role in pathogen sensing and antimicrobial defense. Recently we demonstrated that infection of human DC with intracellular bacterium Listeria monocytogenes (L.monocytogenes) leads to the induction of the immunoinhibitory enzyme indoleamine 2,3-dioxygenase (Popov et al., J Clin Invest, 2006), while in the previous studies L.monocytogenes infection was associated with a rather stimulatory DC phenotype. To clarify this discrepancy we performed comparative microarray analysis of immature mo-DC (immDC), mature stimulatory mo-DC (matDC) and mature inhibitory DC either stimulated with prostaglandin E2 (PGE2-DC) or infected with L.monocytogenes (infDC). Studying infection of human myeloid DC with Listeria monocytogenes, we found out, that infected DC are modified by the pathogen to express multiple inhibitory molecules, including indoleamine 2,3-dioxygenase (IDO), cyclooxygenase-2, interleukin 10 and CD25, which acts on DC as IL-2 scavenger. All these inhibitory molecules, expressed on regulatory DC (DCreg), are strictly TNF-dependent and are in concert suppressing T-cell responses. Moreover, only DCreg can efficiently control the number of intracellular listeria, mostly by IDO-mediated mechanisms and by other factors, remaining to be identified. Analyzing publicly acessible data of transcriptional changes in DC and macrophages, infected by various pathogens and parasites (GEO, GSE360), we noticed that infection of these cells with Mycobacterium tuberculosis causes transcriptional response, comparable with the one caused by listeria in human DC. In fact, granuloma in tuberculosis and listeriosis in vivo are enriched for myeloid DC and macrophages characterized by regulatory phenotype. In summary, regulatory myeloid DC and macrophages may play a dual role during life-threatening granulomatous infections, such as tuberculosis: on one hand, regulatory myeloid cells promote pathogen containment by efficiently killing intracellular bacteria, on the other hand these cells inhibit granuloma-associated T cells and thereby might be involved in the retention of TNF-controlled granuloma integrity protecting the host from granuloma break-down and pathogen dissemination. "}
{"STANDARD_NAME":"GSE9946_IMMATURE_VS_MATURE_STIMULATORY_DC_DN","SYSTEMATIC_NAME":"M417","ORGANISM":"Homo sapiens","PMID":"18802101","AUTHORS":"Popov A,Driesen J,Abdullah Z,Wickenhauser C,Beyer M,Debey-Pascher S,Saric T,Kummer S,Takikawa O,Domann E,Chakraborty T,Krönke M,Utermöhlen O,Schultze JL","GEOID":"GSE9946","EXACT_SOURCE":"GSE9946_2753_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in dendritic cells: immature versus mature stimulatory.","DESCRIPTION_FULL":"Myeloid dendritic cells (DC) and macrophages play an important role in pathogen sensing and antimicrobial defense. Recently we demonstrated that infection of human DC with intracellular bacterium Listeria monocytogenes (L.monocytogenes) leads to the induction of the immunoinhibitory enzyme indoleamine 2,3-dioxygenase (Popov et al., J Clin Invest, 2006), while in the previous studies L.monocytogenes infection was associated with a rather stimulatory DC phenotype. To clarify this discrepancy we performed comparative microarray analysis of immature mo-DC (immDC), mature stimulatory mo-DC (matDC) and mature inhibitory DC either stimulated with prostaglandin E2 (PGE2-DC) or infected with L.monocytogenes (infDC). Studying infection of human myeloid DC with Listeria monocytogenes, we found out, that infected DC are modified by the pathogen to express multiple inhibitory molecules, including indoleamine 2,3-dioxygenase (IDO), cyclooxygenase-2, interleukin 10 and CD25, which acts on DC as IL-2 scavenger. All these inhibitory molecules, expressed on regulatory DC (DCreg), are strictly TNF-dependent and are in concert suppressing T-cell responses. Moreover, only DCreg can efficiently control the number of intracellular listeria, mostly by IDO-mediated mechanisms and by other factors, remaining to be identified. Analyzing publicly acessible data of transcriptional changes in DC and macrophages, infected by various pathogens and parasites (GEO, GSE360), we noticed that infection of these cells with Mycobacterium tuberculosis causes transcriptional response, comparable with the one caused by listeria in human DC. In fact, granuloma in tuberculosis and listeriosis in vivo are enriched for myeloid DC and macrophages characterized by regulatory phenotype. In summary, regulatory myeloid DC and macrophages may play a dual role during life-threatening granulomatous infections, such as tuberculosis: on one hand, regulatory myeloid cells promote pathogen containment by efficiently killing intracellular bacteria, on the other hand these cells inhibit granuloma-associated T cells and thereby might be involved in the retention of TNF-controlled granuloma integrity protecting the host from granuloma break-down and pathogen dissemination. "}
{"STANDARD_NAME":"GSE9946_IMMATURE_VS_LISTERIA_INF_MATURE_DC_UP","SYSTEMATIC_NAME":"M418","ORGANISM":"Homo sapiens","PMID":"18802101","AUTHORS":"Popov A,Driesen J,Abdullah Z,Wickenhauser C,Beyer M,Debey-Pascher S,Saric T,Kummer S,Takikawa O,Domann E,Chakraborty T,Krönke M,Utermöhlen O,Schultze JL","GEOID":"GSE9946","EXACT_SOURCE":"GSE9946_2754_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in dendritic cells: immature versus mature inhibitory infected with L. monocytogenes.","DESCRIPTION_FULL":"Myeloid dendritic cells (DC) and macrophages play an important role in pathogen sensing and antimicrobial defense. Recently we demonstrated that infection of human DC with intracellular bacterium Listeria monocytogenes (L.monocytogenes) leads to the induction of the immunoinhibitory enzyme indoleamine 2,3-dioxygenase (Popov et al., J Clin Invest, 2006), while in the previous studies L.monocytogenes infection was associated with a rather stimulatory DC phenotype. To clarify this discrepancy we performed comparative microarray analysis of immature mo-DC (immDC), mature stimulatory mo-DC (matDC) and mature inhibitory DC either stimulated with prostaglandin E2 (PGE2-DC) or infected with L.monocytogenes (infDC). Studying infection of human myeloid DC with Listeria monocytogenes, we found out, that infected DC are modified by the pathogen to express multiple inhibitory molecules, including indoleamine 2,3-dioxygenase (IDO), cyclooxygenase-2, interleukin 10 and CD25, which acts on DC as IL-2 scavenger. All these inhibitory molecules, expressed on regulatory DC (DCreg), are strictly TNF-dependent and are in concert suppressing T-cell responses. Moreover, only DCreg can efficiently control the number of intracellular listeria, mostly by IDO-mediated mechanisms and by other factors, remaining to be identified. Analyzing publicly acessible data of transcriptional changes in DC and macrophages, infected by various pathogens and parasites (GEO, GSE360), we noticed that infection of these cells with Mycobacterium tuberculosis causes transcriptional response, comparable with the one caused by listeria in human DC. In fact, granuloma in tuberculosis and listeriosis in vivo are enriched for myeloid DC and macrophages characterized by regulatory phenotype. In summary, regulatory myeloid DC and macrophages may play a dual role during life-threatening granulomatous infections, such as tuberculosis: on one hand, regulatory myeloid cells promote pathogen containment by efficiently killing intracellular bacteria, on the other hand these cells inhibit granuloma-associated T cells and thereby might be involved in the retention of TNF-controlled granuloma integrity protecting the host from granuloma break-down and pathogen dissemination. "}
{"STANDARD_NAME":"GSE9946_IMMATURE_VS_LISTERIA_INF_MATURE_DC_DN","SYSTEMATIC_NAME":"M420","ORGANISM":"Homo sapiens","PMID":"18802101","AUTHORS":"Popov A,Driesen J,Abdullah Z,Wickenhauser C,Beyer M,Debey-Pascher S,Saric T,Kummer S,Takikawa O,Domann E,Chakraborty T,Krönke M,Utermöhlen O,Schultze JL","GEOID":"GSE9946","EXACT_SOURCE":"GSE9946_2754_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in dendritic cells: immature versus mature inhibitory infected with L. monocytogenes.","DESCRIPTION_FULL":"Myeloid dendritic cells (DC) and macrophages play an important role in pathogen sensing and antimicrobial defense. Recently we demonstrated that infection of human DC with intracellular bacterium Listeria monocytogenes (L.monocytogenes) leads to the induction of the immunoinhibitory enzyme indoleamine 2,3-dioxygenase (Popov et al., J Clin Invest, 2006), while in the previous studies L.monocytogenes infection was associated with a rather stimulatory DC phenotype. To clarify this discrepancy we performed comparative microarray analysis of immature mo-DC (immDC), mature stimulatory mo-DC (matDC) and mature inhibitory DC either stimulated with prostaglandin E2 (PGE2-DC) or infected with L.monocytogenes (infDC). Studying infection of human myeloid DC with Listeria monocytogenes, we found out, that infected DC are modified by the pathogen to express multiple inhibitory molecules, including indoleamine 2,3-dioxygenase (IDO), cyclooxygenase-2, interleukin 10 and CD25, which acts on DC as IL-2 scavenger. All these inhibitory molecules, expressed on regulatory DC (DCreg), are strictly TNF-dependent and are in concert suppressing T-cell responses. Moreover, only DCreg can efficiently control the number of intracellular listeria, mostly by IDO-mediated mechanisms and by other factors, remaining to be identified. Analyzing publicly acessible data of transcriptional changes in DC and macrophages, infected by various pathogens and parasites (GEO, GSE360), we noticed that infection of these cells with Mycobacterium tuberculosis causes transcriptional response, comparable with the one caused by listeria in human DC. In fact, granuloma in tuberculosis and listeriosis in vivo are enriched for myeloid DC and macrophages characterized by regulatory phenotype. In summary, regulatory myeloid DC and macrophages may play a dual role during life-threatening granulomatous infections, such as tuberculosis: on one hand, regulatory myeloid cells promote pathogen containment by efficiently killing intracellular bacteria, on the other hand these cells inhibit granuloma-associated T cells and thereby might be involved in the retention of TNF-controlled granuloma integrity protecting the host from granuloma break-down and pathogen dissemination. "}
{"STANDARD_NAME":"GSE9946_IMMATURE_VS_PROSTAGLANDINE2_TREATED_MATURE_DC_UP","SYSTEMATIC_NAME":"M421","ORGANISM":"Homo sapiens","PMID":"18802101","AUTHORS":"Popov A,Driesen J,Abdullah Z,Wickenhauser C,Beyer M,Debey-Pascher S,Saric T,Kummer S,Takikawa O,Domann E,Chakraborty T,Krönke M,Utermöhlen O,Schultze JL","GEOID":"GSE9946","EXACT_SOURCE":"GSE9946_2755_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in dendritic cells: immature versus mature inhibitory treated by prostaglandin E2 [PubChem=5280360].","DESCRIPTION_FULL":"Myeloid dendritic cells (DC) and macrophages play an important role in pathogen sensing and antimicrobial defense. Recently we demonstrated that infection of human DC with intracellular bacterium Listeria monocytogenes (L.monocytogenes) leads to the induction of the immunoinhibitory enzyme indoleamine 2,3-dioxygenase (Popov et al., J Clin Invest, 2006), while in the previous studies L.monocytogenes infection was associated with a rather stimulatory DC phenotype. To clarify this discrepancy we performed comparative microarray analysis of immature mo-DC (immDC), mature stimulatory mo-DC (matDC) and mature inhibitory DC either stimulated with prostaglandin E2 (PGE2-DC) or infected with L.monocytogenes (infDC). Studying infection of human myeloid DC with Listeria monocytogenes, we found out, that infected DC are modified by the pathogen to express multiple inhibitory molecules, including indoleamine 2,3-dioxygenase (IDO), cyclooxygenase-2, interleukin 10 and CD25, which acts on DC as IL-2 scavenger. All these inhibitory molecules, expressed on regulatory DC (DCreg), are strictly TNF-dependent and are in concert suppressing T-cell responses. Moreover, only DCreg can efficiently control the number of intracellular listeria, mostly by IDO-mediated mechanisms and by other factors, remaining to be identified. Analyzing publicly acessible data of transcriptional changes in DC and macrophages, infected by various pathogens and parasites (GEO, GSE360), we noticed that infection of these cells with Mycobacterium tuberculosis causes transcriptional response, comparable with the one caused by listeria in human DC. In fact, granuloma in tuberculosis and listeriosis in vivo are enriched for myeloid DC and macrophages characterized by regulatory phenotype. In summary, regulatory myeloid DC and macrophages may play a dual role during life-threatening granulomatous infections, such as tuberculosis: on one hand, regulatory myeloid cells promote pathogen containment by efficiently killing intracellular bacteria, on the other hand these cells inhibit granuloma-associated T cells and thereby might be involved in the retention of TNF-controlled granuloma integrity protecting the host from granuloma break-down and pathogen dissemination. "}
{"STANDARD_NAME":"GSE9946_IMMATURE_VS_PROSTAGLANDINE2_TREATED_MATURE_DC_DN","SYSTEMATIC_NAME":"M422","ORGANISM":"Homo sapiens","PMID":"18802101","AUTHORS":"Popov A,Driesen J,Abdullah Z,Wickenhauser C,Beyer M,Debey-Pascher S,Saric T,Kummer S,Takikawa O,Domann E,Chakraborty T,Krönke M,Utermöhlen O,Schultze JL","GEOID":"GSE9946","EXACT_SOURCE":"GSE9946_2755_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in dendritic cells: immature versus mature inhibitory treated by prostaglandin E2 [PubChem=5280360].","DESCRIPTION_FULL":"Myeloid dendritic cells (DC) and macrophages play an important role in pathogen sensing and antimicrobial defense. Recently we demonstrated that infection of human DC with intracellular bacterium Listeria monocytogenes (L.monocytogenes) leads to the induction of the immunoinhibitory enzyme indoleamine 2,3-dioxygenase (Popov et al., J Clin Invest, 2006), while in the previous studies L.monocytogenes infection was associated with a rather stimulatory DC phenotype. To clarify this discrepancy we performed comparative microarray analysis of immature mo-DC (immDC), mature stimulatory mo-DC (matDC) and mature inhibitory DC either stimulated with prostaglandin E2 (PGE2-DC) or infected with L.monocytogenes (infDC). Studying infection of human myeloid DC with Listeria monocytogenes, we found out, that infected DC are modified by the pathogen to express multiple inhibitory molecules, including indoleamine 2,3-dioxygenase (IDO), cyclooxygenase-2, interleukin 10 and CD25, which acts on DC as IL-2 scavenger. All these inhibitory molecules, expressed on regulatory DC (DCreg), are strictly TNF-dependent and are in concert suppressing T-cell responses. Moreover, only DCreg can efficiently control the number of intracellular listeria, mostly by IDO-mediated mechanisms and by other factors, remaining to be identified. Analyzing publicly acessible data of transcriptional changes in DC and macrophages, infected by various pathogens and parasites (GEO, GSE360), we noticed that infection of these cells with Mycobacterium tuberculosis causes transcriptional response, comparable with the one caused by listeria in human DC. In fact, granuloma in tuberculosis and listeriosis in vivo are enriched for myeloid DC and macrophages characterized by regulatory phenotype. In summary, regulatory myeloid DC and macrophages may play a dual role during life-threatening granulomatous infections, such as tuberculosis: on one hand, regulatory myeloid cells promote pathogen containment by efficiently killing intracellular bacteria, on the other hand these cells inhibit granuloma-associated T cells and thereby might be involved in the retention of TNF-controlled granuloma integrity protecting the host from granuloma break-down and pathogen dissemination. "}
{"STANDARD_NAME":"GSE9946_MATURE_STIMULATORY_VS_LISTERIA_INF_MATURE_DC_UP","SYSTEMATIC_NAME":"M423","ORGANISM":"Homo sapiens","PMID":"18802101","AUTHORS":"Popov A,Driesen J,Abdullah Z,Wickenhauser C,Beyer M,Debey-Pascher S,Saric T,Kummer S,Takikawa O,Domann E,Chakraborty T,Krönke M,Utermöhlen O,Schultze JL","GEOID":"GSE9946","EXACT_SOURCE":"GSE9946_2756_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in mature dendritic cells: stimulatory versus inhibitory infected with L. monocytogenes.","DESCRIPTION_FULL":"Myeloid dendritic cells (DC) and macrophages play an important role in pathogen sensing and antimicrobial defense. Recently we demonstrated that infection of human DC with intracellular bacterium Listeria monocytogenes (L.monocytogenes) leads to the induction of the immunoinhibitory enzyme indoleamine 2,3-dioxygenase (Popov et al., J Clin Invest, 2006), while in the previous studies L.monocytogenes infection was associated with a rather stimulatory DC phenotype. To clarify this discrepancy we performed comparative microarray analysis of immature mo-DC (immDC), mature stimulatory mo-DC (matDC) and mature inhibitory DC either stimulated with prostaglandin E2 (PGE2-DC) or infected with L.monocytogenes (infDC). Studying infection of human myeloid DC with Listeria monocytogenes, we found out, that infected DC are modified by the pathogen to express multiple inhibitory molecules, including indoleamine 2,3-dioxygenase (IDO), cyclooxygenase-2, interleukin 10 and CD25, which acts on DC as IL-2 scavenger. All these inhibitory molecules, expressed on regulatory DC (DCreg), are strictly TNF-dependent and are in concert suppressing T-cell responses. Moreover, only DCreg can efficiently control the number of intracellular listeria, mostly by IDO-mediated mechanisms and by other factors, remaining to be identified. Analyzing publicly acessible data of transcriptional changes in DC and macrophages, infected by various pathogens and parasites (GEO, GSE360), we noticed that infection of these cells with Mycobacterium tuberculosis causes transcriptional response, comparable with the one caused by listeria in human DC. In fact, granuloma in tuberculosis and listeriosis in vivo are enriched for myeloid DC and macrophages characterized by regulatory phenotype. In summary, regulatory myeloid DC and macrophages may play a dual role during life-threatening granulomatous infections, such as tuberculosis: on one hand, regulatory myeloid cells promote pathogen containment by efficiently killing intracellular bacteria, on the other hand these cells inhibit granuloma-associated T cells and thereby might be involved in the retention of TNF-controlled granuloma integrity protecting the host from granuloma break-down and pathogen dissemination. "}
{"STANDARD_NAME":"GSE9946_MATURE_STIMULATORY_VS_LISTERIA_INF_MATURE_DC_DN","SYSTEMATIC_NAME":"M425","ORGANISM":"Homo sapiens","PMID":"18802101","AUTHORS":"Popov A,Driesen J,Abdullah Z,Wickenhauser C,Beyer M,Debey-Pascher S,Saric T,Kummer S,Takikawa O,Domann E,Chakraborty T,Krönke M,Utermöhlen O,Schultze JL","GEOID":"GSE9946","EXACT_SOURCE":"GSE9946_2756_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in mature dendritic cells: stimulatory versus inhibitory infected with L. monocytogenes.","DESCRIPTION_FULL":"Myeloid dendritic cells (DC) and macrophages play an important role in pathogen sensing and antimicrobial defense. Recently we demonstrated that infection of human DC with intracellular bacterium Listeria monocytogenes (L.monocytogenes) leads to the induction of the immunoinhibitory enzyme indoleamine 2,3-dioxygenase (Popov et al., J Clin Invest, 2006), while in the previous studies L.monocytogenes infection was associated with a rather stimulatory DC phenotype. To clarify this discrepancy we performed comparative microarray analysis of immature mo-DC (immDC), mature stimulatory mo-DC (matDC) and mature inhibitory DC either stimulated with prostaglandin E2 (PGE2-DC) or infected with L.monocytogenes (infDC). Studying infection of human myeloid DC with Listeria monocytogenes, we found out, that infected DC are modified by the pathogen to express multiple inhibitory molecules, including indoleamine 2,3-dioxygenase (IDO), cyclooxygenase-2, interleukin 10 and CD25, which acts on DC as IL-2 scavenger. All these inhibitory molecules, expressed on regulatory DC (DCreg), are strictly TNF-dependent and are in concert suppressing T-cell responses. Moreover, only DCreg can efficiently control the number of intracellular listeria, mostly by IDO-mediated mechanisms and by other factors, remaining to be identified. Analyzing publicly acessible data of transcriptional changes in DC and macrophages, infected by various pathogens and parasites (GEO, GSE360), we noticed that infection of these cells with Mycobacterium tuberculosis causes transcriptional response, comparable with the one caused by listeria in human DC. In fact, granuloma in tuberculosis and listeriosis in vivo are enriched for myeloid DC and macrophages characterized by regulatory phenotype. In summary, regulatory myeloid DC and macrophages may play a dual role during life-threatening granulomatous infections, such as tuberculosis: on one hand, regulatory myeloid cells promote pathogen containment by efficiently killing intracellular bacteria, on the other hand these cells inhibit granuloma-associated T cells and thereby might be involved in the retention of TNF-controlled granuloma integrity protecting the host from granuloma break-down and pathogen dissemination. "}
{"STANDARD_NAME":"GSE9946_MATURE_STIMULATORY_VS_PROSTAGLANDINE2_TREATED_MATURE_DC_UP","SYSTEMATIC_NAME":"M428","ORGANISM":"Homo sapiens","PMID":"18802101","AUTHORS":"Popov A,Driesen J,Abdullah Z,Wickenhauser C,Beyer M,Debey-Pascher S,Saric T,Kummer S,Takikawa O,Domann E,Chakraborty T,Krönke M,Utermöhlen O,Schultze JL","GEOID":"GSE9946","EXACT_SOURCE":"GSE9946_2757_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in mature dendritic cells: stimulatory versus inhibitory treated by prostaglandin E2 [PubChem=5280360].","DESCRIPTION_FULL":"Myeloid dendritic cells (DC) and macrophages play an important role in pathogen sensing and antimicrobial defense. Recently we demonstrated that infection of human DC with intracellular bacterium Listeria monocytogenes (L.monocytogenes) leads to the induction of the immunoinhibitory enzyme indoleamine 2,3-dioxygenase (Popov et al., J Clin Invest, 2006), while in the previous studies L.monocytogenes infection was associated with a rather stimulatory DC phenotype. To clarify this discrepancy we performed comparative microarray analysis of immature mo-DC (immDC), mature stimulatory mo-DC (matDC) and mature inhibitory DC either stimulated with prostaglandin E2 (PGE2-DC) or infected with L.monocytogenes (infDC). Studying infection of human myeloid DC with Listeria monocytogenes, we found out, that infected DC are modified by the pathogen to express multiple inhibitory molecules, including indoleamine 2,3-dioxygenase (IDO), cyclooxygenase-2, interleukin 10 and CD25, which acts on DC as IL-2 scavenger. All these inhibitory molecules, expressed on regulatory DC (DCreg), are strictly TNF-dependent and are in concert suppressing T-cell responses. Moreover, only DCreg can efficiently control the number of intracellular listeria, mostly by IDO-mediated mechanisms and by other factors, remaining to be identified. Analyzing publicly acessible data of transcriptional changes in DC and macrophages, infected by various pathogens and parasites (GEO, GSE360), we noticed that infection of these cells with Mycobacterium tuberculosis causes transcriptional response, comparable with the one caused by listeria in human DC. In fact, granuloma in tuberculosis and listeriosis in vivo are enriched for myeloid DC and macrophages characterized by regulatory phenotype. In summary, regulatory myeloid DC and macrophages may play a dual role during life-threatening granulomatous infections, such as tuberculosis: on one hand, regulatory myeloid cells promote pathogen containment by efficiently killing intracellular bacteria, on the other hand these cells inhibit granuloma-associated T cells and thereby might be involved in the retention of TNF-controlled granuloma integrity protecting the host from granuloma break-down and pathogen dissemination. "}
{"STANDARD_NAME":"GSE9946_MATURE_STIMULATORY_VS_PROSTAGLANDINE2_TREATED_MATURE_DC_DN","SYSTEMATIC_NAME":"M429","ORGANISM":"Homo sapiens","PMID":"18802101","AUTHORS":"Popov A,Driesen J,Abdullah Z,Wickenhauser C,Beyer M,Debey-Pascher S,Saric T,Kummer S,Takikawa O,Domann E,Chakraborty T,Krönke M,Utermöhlen O,Schultze JL","GEOID":"GSE9946","EXACT_SOURCE":"GSE9946_2757_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in mature dendritic cells: stimulatory versus inhibitory treated by prostaglandin E2 [PubChem=5280360].","DESCRIPTION_FULL":"Myeloid dendritic cells (DC) and macrophages play an important role in pathogen sensing and antimicrobial defense. Recently we demonstrated that infection of human DC with intracellular bacterium Listeria monocytogenes (L.monocytogenes) leads to the induction of the immunoinhibitory enzyme indoleamine 2,3-dioxygenase (Popov et al., J Clin Invest, 2006), while in the previous studies L.monocytogenes infection was associated with a rather stimulatory DC phenotype. To clarify this discrepancy we performed comparative microarray analysis of immature mo-DC (immDC), mature stimulatory mo-DC (matDC) and mature inhibitory DC either stimulated with prostaglandin E2 (PGE2-DC) or infected with L.monocytogenes (infDC). Studying infection of human myeloid DC with Listeria monocytogenes, we found out, that infected DC are modified by the pathogen to express multiple inhibitory molecules, including indoleamine 2,3-dioxygenase (IDO), cyclooxygenase-2, interleukin 10 and CD25, which acts on DC as IL-2 scavenger. All these inhibitory molecules, expressed on regulatory DC (DCreg), are strictly TNF-dependent and are in concert suppressing T-cell responses. Moreover, only DCreg can efficiently control the number of intracellular listeria, mostly by IDO-mediated mechanisms and by other factors, remaining to be identified. Analyzing publicly acessible data of transcriptional changes in DC and macrophages, infected by various pathogens and parasites (GEO, GSE360), we noticed that infection of these cells with Mycobacterium tuberculosis causes transcriptional response, comparable with the one caused by listeria in human DC. In fact, granuloma in tuberculosis and listeriosis in vivo are enriched for myeloid DC and macrophages characterized by regulatory phenotype. In summary, regulatory myeloid DC and macrophages may play a dual role during life-threatening granulomatous infections, such as tuberculosis: on one hand, regulatory myeloid cells promote pathogen containment by efficiently killing intracellular bacteria, on the other hand these cells inhibit granuloma-associated T cells and thereby might be involved in the retention of TNF-controlled granuloma integrity protecting the host from granuloma break-down and pathogen dissemination. "}
{"STANDARD_NAME":"GSE9946_LISTERIA_INF_MATURE_VS_PROSTAGLANDINE2_TREATED_MATURE_DC_UP","SYSTEMATIC_NAME":"M430","ORGANISM":"Homo sapiens","PMID":"18802101","AUTHORS":"Popov A,Driesen J,Abdullah Z,Wickenhauser C,Beyer M,Debey-Pascher S,Saric T,Kummer S,Takikawa O,Domann E,Chakraborty T,Krönke M,Utermöhlen O,Schultze JL","GEOID":"GSE9946","EXACT_SOURCE":"GSE9946_2758_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in mature inhibitory dendritic cells: L. monocytogenes infection versus prostaglandin E2 [PubChem=5280360].","DESCRIPTION_FULL":"Myeloid dendritic cells (DC) and macrophages play an important role in pathogen sensing and antimicrobial defense. Recently we demonstrated that infection of human DC with intracellular bacterium Listeria monocytogenes (L.monocytogenes) leads to the induction of the immunoinhibitory enzyme indoleamine 2,3-dioxygenase (Popov et al., J Clin Invest, 2006), while in the previous studies L.monocytogenes infection was associated with a rather stimulatory DC phenotype. To clarify this discrepancy we performed comparative microarray analysis of immature mo-DC (immDC), mature stimulatory mo-DC (matDC) and mature inhibitory DC either stimulated with prostaglandin E2 (PGE2-DC) or infected with L.monocytogenes (infDC). Studying infection of human myeloid DC with Listeria monocytogenes, we found out, that infected DC are modified by the pathogen to express multiple inhibitory molecules, including indoleamine 2,3-dioxygenase (IDO), cyclooxygenase-2, interleukin 10 and CD25, which acts on DC as IL-2 scavenger. All these inhibitory molecules, expressed on regulatory DC (DCreg), are strictly TNF-dependent and are in concert suppressing T-cell responses. Moreover, only DCreg can efficiently control the number of intracellular listeria, mostly by IDO-mediated mechanisms and by other factors, remaining to be identified. Analyzing publicly acessible data of transcriptional changes in DC and macrophages, infected by various pathogens and parasites (GEO, GSE360), we noticed that infection of these cells with Mycobacterium tuberculosis causes transcriptional response, comparable with the one caused by listeria in human DC. In fact, granuloma in tuberculosis and listeriosis in vivo are enriched for myeloid DC and macrophages characterized by regulatory phenotype. In summary, regulatory myeloid DC and macrophages may play a dual role during life-threatening granulomatous infections, such as tuberculosis: on one hand, regulatory myeloid cells promote pathogen containment by efficiently killing intracellular bacteria, on the other hand these cells inhibit granuloma-associated T cells and thereby might be involved in the retention of TNF-controlled granuloma integrity protecting the host from granuloma break-down and pathogen dissemination. "}
{"STANDARD_NAME":"GSE9946_LISTERIA_INF_MATURE_VS_PROSTAGLANDINE2_TREATED_MATURE_DC_DN","SYSTEMATIC_NAME":"M431","ORGANISM":"Homo sapiens","PMID":"18802101","AUTHORS":"Popov A,Driesen J,Abdullah Z,Wickenhauser C,Beyer M,Debey-Pascher S,Saric T,Kummer S,Takikawa O,Domann E,Chakraborty T,Krönke M,Utermöhlen O,Schultze JL","GEOID":"GSE9946","EXACT_SOURCE":"GSE9946_2758_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in mature inhibitory dendritic cells: L. monocytogenes infection versus prostaglandin E2 [PubChem=5280360].","DESCRIPTION_FULL":"Myeloid dendritic cells (DC) and macrophages play an important role in pathogen sensing and antimicrobial defense. Recently we demonstrated that infection of human DC with intracellular bacterium Listeria monocytogenes (L.monocytogenes) leads to the induction of the immunoinhibitory enzyme indoleamine 2,3-dioxygenase (Popov et al., J Clin Invest, 2006), while in the previous studies L.monocytogenes infection was associated with a rather stimulatory DC phenotype. To clarify this discrepancy we performed comparative microarray analysis of immature mo-DC (immDC), mature stimulatory mo-DC (matDC) and mature inhibitory DC either stimulated with prostaglandin E2 (PGE2-DC) or infected with L.monocytogenes (infDC). Studying infection of human myeloid DC with Listeria monocytogenes, we found out, that infected DC are modified by the pathogen to express multiple inhibitory molecules, including indoleamine 2,3-dioxygenase (IDO), cyclooxygenase-2, interleukin 10 and CD25, which acts on DC as IL-2 scavenger. All these inhibitory molecules, expressed on regulatory DC (DCreg), are strictly TNF-dependent and are in concert suppressing T-cell responses. Moreover, only DCreg can efficiently control the number of intracellular listeria, mostly by IDO-mediated mechanisms and by other factors, remaining to be identified. Analyzing publicly acessible data of transcriptional changes in DC and macrophages, infected by various pathogens and parasites (GEO, GSE360), we noticed that infection of these cells with Mycobacterium tuberculosis causes transcriptional response, comparable with the one caused by listeria in human DC. In fact, granuloma in tuberculosis and listeriosis in vivo are enriched for myeloid DC and macrophages characterized by regulatory phenotype. In summary, regulatory myeloid DC and macrophages may play a dual role during life-threatening granulomatous infections, such as tuberculosis: on one hand, regulatory myeloid cells promote pathogen containment by efficiently killing intracellular bacteria, on the other hand these cells inhibit granuloma-associated T cells and thereby might be involved in the retention of TNF-controlled granuloma integrity protecting the host from granuloma break-down and pathogen dissemination. "}
{"STANDARD_NAME":"GSE12484_HEALTHY_VS_PERIDONTITIS_NEUTROPHILS_DN","SYSTEMATIC_NAME":"M432","ORGANISM":"Homo sapiens","PMID":"18832737","AUTHORS":"Wright HJ,Matthews JB,Chapple IL,Ling-Mountford N,Cooper PR","GEOID":"GSE12484","EXACT_SOURCE":"GSE12484_2752_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in neutrophils isolated from: healthy versus patients with peridontitis.","DESCRIPTION_FULL":"Peripheral blood neutrophils from periodontitis patients exhibit a hyper-reactive and hyper-active phenotype (collectively termed hyper-responsivity) in terms of production of reactive oxygen species (ROS) however the molecular basis for this observation is yet to be determined. Our objectives were to identify genes differentially expressed in hyper-responsive peripheral blood neutrophils from chronic periodontitis patients relative to periodontally healthy controls and use this data to identify potential contributory pathways to the hyper-responsive neutrophil phenotype."}
{"STANDARD_NAME":"GSE12484_HEALTHY_VS_PERIDONTITIS_NEUTROPHILS_UP","SYSTEMATIC_NAME":"M433","ORGANISM":"Homo sapiens","PMID":"18832737","AUTHORS":"Wright HJ,Matthews JB,Chapple IL,Ling-Mountford N,Cooper PR","GEOID":"GSE12484","EXACT_SOURCE":"GSE12484_2752_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in neutrophils isolated from: healthy versus patients with peridontitis.","DESCRIPTION_FULL":"Peripheral blood neutrophils from periodontitis patients exhibit a hyper-reactive and hyper-active phenotype (collectively termed hyper-responsivity) in terms of production of reactive oxygen species (ROS) however the molecular basis for this observation is yet to be determined. Our objectives were to identify genes differentially expressed in hyper-responsive peripheral blood neutrophils from chronic periodontitis patients relative to periodontally healthy controls and use this data to identify potential contributory pathways to the hyper-responsive neutrophil phenotype."}
{"STANDARD_NAME":"GSE12707_AT16L1_HYPOMORPH_VS_WT_THYMUS_DN","SYSTEMATIC_NAME":"M434","ORGANISM":"Mus musculus","PMID":"18849966","AUTHORS":"Cadwell K,Liu JY,Brown SL,Miyoshi H,Loh J,Lennerz JK,Kishi C,Kc W,Carrero JA,Hunt S,Stone CD,Brunt EM,Xavier RJ,Sleckman BP,Li E,Mizushima N,Stappenbeck TS,Virgin HW","GEOID":"GSE12707","EXACT_SOURCE":"GSE12707_2700_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in tymocytes: mutant (hypomorph) ATG16L1 [GeneID=55054] versus wildtype.","DESCRIPTION_FULL":"The aim of this study is to survey global gene expression of total thymocytes from wild-type mice and Atg16l1 mutant (hypomorph) mice."}
{"STANDARD_NAME":"GSE12707_AT16L1_HYPOMORPH_VS_WT_THYMUS_UP","SYSTEMATIC_NAME":"M436","ORGANISM":"Mus musculus","PMID":"18849966","AUTHORS":"Cadwell K,Liu JY,Brown SL,Miyoshi H,Loh J,Lennerz JK,Kishi C,Kc W,Carrero JA,Hunt S,Stone CD,Brunt EM,Xavier RJ,Sleckman BP,Li E,Mizushima N,Stappenbeck TS,Virgin HW","GEOID":"GSE12707","EXACT_SOURCE":"GSE12707_2700_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in tymocytes: mutant (hypomorph) ATG16L1 [GeneID=55054] versus wildtype.","DESCRIPTION_FULL":"The aim of this study is to survey global gene expression of total thymocytes from wild-type mice and Atg16l1 mutant (hypomorph) mice."}
{"STANDARD_NAME":"GSE12505_WT_VS_E2_2_HET_PDC_UP","SYSTEMATIC_NAME":"M437","ORGANISM":"Mus musculus","PMID":"18854153","AUTHORS":"Cisse B,Caton ML,Lehner M,Maeda T,Scheu S,Locksley R,Holmberg D,Zweier C,Hollander den NS,Kant SG,Holter W,Rauch A,Zhuang Y,Reizis B","GEOID":"GSE12505","EXACT_SOURCE":"GSE12505_2251_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in plasmacytoid dendritic cells: wildtype versus TCF4 [GeneID=6925] heterozygous knockout.","DESCRIPTION_FULL":"Analysis of expression profiles of pDCs from wild type and heterozygous E2-2 mice. Results show the control by E2-2 of the expression of pDC-enriched genes. "}
{"STANDARD_NAME":"GSE12507_PDC_CELL_LINE_VS_IMMATUE_T_CELL_LINE_UP","SYSTEMATIC_NAME":"M438","ORGANISM":"Homo sapiens","PMID":"18854153","AUTHORS":"Cisse B,Caton ML,Lehner M,Maeda T,Scheu S,Locksley R,Holmberg D,Zweier C,Hollander den NS,Kant SG,Holter W,Rauch A,Zhuang Y,Reizis B","GEOID":"GSE12507","EXACT_SOURCE":"GSE12507_2252_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CAL1 cells (plasmacytoid dendritic cells) versus MOLT4 (immature T cells).","DESCRIPTION_FULL":"Analysis of expression profiles of human pDC cell line (CAL1) compared to an immature T cell line (MOLT4) "}
{"STANDARD_NAME":"GSE12505_WT_VS_E2_2_HET_PDC_DN","SYSTEMATIC_NAME":"M439","ORGANISM":"Mus musculus","PMID":"18854153","AUTHORS":"Cisse B,Caton ML,Lehner M,Maeda T,Scheu S,Locksley R,Holmberg D,Zweier C,Hollander den NS,Kant SG,Holter W,Rauch A,Zhuang Y,Reizis B","GEOID":"GSE12505","EXACT_SOURCE":"GSE12505_2251_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in plasmacytoid dendritic cells: wildtype versus TCF4 [GeneID=6925] heterozygous knockout.","DESCRIPTION_FULL":"Analysis of expression profiles of pDCs from wild type and heterozygous E2-2 mice. Results show the control by E2-2 of the expression of pDC-enriched genes. "}
{"STANDARD_NAME":"GSE12507_PDC_CELL_LINE_VS_IMMATUE_T_CELL_LINE_DN","SYSTEMATIC_NAME":"M440","ORGANISM":"Homo sapiens","PMID":"18854153","AUTHORS":"Cisse B,Caton ML,Lehner M,Maeda T,Scheu S,Locksley R,Holmberg D,Zweier C,Hollander den NS,Kant SG,Holter W,Rauch A,Zhuang Y,Reizis B","GEOID":"GSE12507","EXACT_SOURCE":"GSE12507_2252_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CAL1 cells (plasmacytoid dendritic cells) versus MOLT4 (immature T cells).","DESCRIPTION_FULL":"Analysis of expression profiles of human pDC cell line (CAL1) compared to an immature T cell line (MOLT4) "}
{"STANDARD_NAME":"GSE12839_CTRL_VS_IL12_TREATED_PBMC_DN","SYSTEMATIC_NAME":"M441","ORGANISM":"Homo sapiens","PMID":"19001140","AUTHORS":"Watford WT,Hissong BD,Durant LR,Yamane H,Muul LM,Kanno Y,Tato CM,Ramos HL,Berger AE,Mielke L,Pesu M,Solomon B,Frucht DM,Paul WE,Sher A,Jankovic D,Tsichlis PN,O'Shea JJ","GEOID":"GSE12839","EXACT_SOURCE":"GSE12839_2401_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in peripheral blood monocytes (PBMC): control versus IL-12 stimulation.","DESCRIPTION_FULL":"The cytokine interleukin-12 (IL-12) is known to play a central role in adaptive and innate immunity. We employed microarray analysis of IL-12 induced gene expression to provide further insights into its effects on immune response. "}
{"STANDARD_NAME":"GSE12839_CTRL_VS_IL12_TREATED_PBMC_UP","SYSTEMATIC_NAME":"M442","ORGANISM":"Homo sapiens","PMID":"19001140","AUTHORS":"Watford WT,Hissong BD,Durant LR,Yamane H,Muul LM,Kanno Y,Tato CM,Ramos HL,Berger AE,Mielke L,Pesu M,Solomon B,Frucht DM,Paul WE,Sher A,Jankovic D,Tsichlis PN,O'Shea JJ","GEOID":"GSE12839","EXACT_SOURCE":"GSE12839_2401_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in peripheral blood monocytes (PBMC): control versus IL-12 stimulation.","DESCRIPTION_FULL":"The cytokine interleukin-12 (IL-12) is known to play a central role in adaptive and innate immunity. We employed microarray analysis of IL-12 induced gene expression to provide further insights into its effects on immune response. "}
{"STANDARD_NAME":"GSE12963_UNINF_VS_ENV_AND_NEF_AND_VPR_DEFICIENT_HIV1_INF_CD4_TCELL_UP","SYSTEMATIC_NAME":"M447","ORGANISM":"Homo sapiens","PMID":"19050264","AUTHORS":"Dabrowska A,Kim N,Aldovini A","GEOID":"GSE12963","EXACT_SOURCE":"GSE12963_2629_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in control CD4 [GeneID=920] T cells versus those infected with HIV-1 viruses lacking Env, Vpr and Nef.","DESCRIPTION_FULL":"The high mutation rate of HIV is linked to the generation of viruses expressing proteins with altered function whose impact on disease progression is unknown. We investigated the effects of HIV-1 viruses lacking Env, Vpr and Nef on CD4+ T cell gene expression using high-density DNA microarray analysis and functional assays. "}
{"STANDARD_NAME":"GSE12963_UNINF_VS_ENV_AND_NEF_AND_VPR_DEFICIENT_HIV1_INF_CD4_TCELL_DN","SYSTEMATIC_NAME":"M448","ORGANISM":"Homo sapiens","PMID":"19050264","AUTHORS":"Dabrowska A,Kim N,Aldovini A","GEOID":"GSE12963","EXACT_SOURCE":"GSE12963_2629_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in control CD4 [GeneID=920] T cells versus those infected with HIV-1 viruses lacking Env, Vpr and Nef.","DESCRIPTION_FULL":"The high mutation rate of HIV is linked to the generation of viruses expressing proteins with altered function whose impact on disease progression is unknown. We investigated the effects of HIV-1 viruses lacking Env, Vpr and Nef on CD4+ T cell gene expression using high-density DNA microarray analysis and functional assays. "}
{"STANDARD_NAME":"GSE12963_UNINF_VS_ENV_AND_NEF_DEFICIENT_HIV1_INF_CD4_TCELL_UP","SYSTEMATIC_NAME":"M449","ORGANISM":"Homo sapiens","PMID":"19050264","AUTHORS":"Dabrowska A,Kim N,Aldovini A","GEOID":"GSE12963","EXACT_SOURCE":"GSE12963_2628_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in control CD4 [GeneID=920] T cells versus those infected with HIV-1 viruses lacking Env and Nef.","DESCRIPTION_FULL":"The high mutation rate of HIV is linked to the generation of viruses expressing proteins with altered function whose impact on disease progression is unknown. We investigated the effects of HIV-1 viruses lacking Env, Vpr and Nef on CD4+ T cell gene expression using high-density DNA microarray analysis and functional assays. "}
{"STANDARD_NAME":"GSE12963_UNINF_VS_ENV_AND_NEF_DEFICIENT_HIV1_INF_CD4_TCELL_DN","SYSTEMATIC_NAME":"M452","ORGANISM":"Homo sapiens","PMID":"19050264","AUTHORS":"Dabrowska A,Kim N,Aldovini A","GEOID":"GSE12963","EXACT_SOURCE":"GSE12963_2628_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in control CD4 [GeneID=920] T cell versus those infected with HIV-1 viruses lacking Env and Nef.","DESCRIPTION_FULL":"The high mutation rate of HIV is linked to the generation of viruses expressing proteins with altered function whose impact on disease progression is unknown. We investigated the effects of HIV-1 viruses lacking Env, Vpr and Nef on CD4+ T cell gene expression using high-density DNA microarray analysis and functional assays. "}
{"STANDARD_NAME":"GSE12963_ENV_NEF_VS_ENV_NEF_AND_VPR_DEFICIENT_HIV1_INF_CD4_TCELL_UP","SYSTEMATIC_NAME":"M455","ORGANISM":"Homo sapiens","PMID":"19050264","AUTHORS":"Dabrowska A,Kim N,Aldovini A","GEOID":"GSE12963","EXACT_SOURCE":"GSE12963_2630_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells infected with Env/Nef deficient HIV-1 viruses versus those infected with HIV-1 viruses lacking Env, Nef and Vpr.","DESCRIPTION_FULL":"The high mutation rate of HIV is linked to the generation of viruses expressing proteins with altered function whose impact on disease progression is unknown. We investigated the effects of HIV-1 viruses lacking Env, Vpr and Nef on CD4+ T cell gene expression using high-density DNA microarray analysis and functional assays. "}
{"STANDARD_NAME":"GSE12963_ENV_NEF_VS_ENV_NEF_AND_VPR_DEFICIENT_HIV1_INF_CD4_TCELL_DN","SYSTEMATIC_NAME":"M458","ORGANISM":"Homo sapiens","PMID":"19050264","AUTHORS":"Dabrowska A,Kim N,Aldovini A","GEOID":"GSE12963","EXACT_SOURCE":"GSE12963_2630_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells infected with Env/Nef deficient HIV-1 viruses versus those infected with HIV-1 viruses lacking Env, Nef and Vpr.","DESCRIPTION_FULL":"The high mutation rate of HIV is linked to the generation of viruses expressing proteins with altered function whose impact on disease progression is unknown. We investigated the effects of HIV-1 viruses lacking Env, Vpr and Nef on CD4+ T cell gene expression using high-density DNA microarray analysis and functional assays. "}
{"STANDARD_NAME":"GSE11367_CTRL_VS_IL17_TREATED_SMOOTH_MUSCLE_CELL_UP","SYSTEMATIC_NAME":"M460","ORGANISM":"Homo sapiens","PMID":"19075290","AUTHORS":"Rao DA,Eid RE,Qin L,Yi T,Kirkiles-Smith NC,Tellides G,Pober JS","GEOID":"GSE11367","EXACT_SOURCE":"GSE11367_3380_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in vascular smooth muscle cells: control versus treated with IL17A [GeneID=3605].","DESCRIPTION_FULL":"Investigate the effect of recombinant human IL-17A on vascular smooth muscle cells cultured from human aortas."}
{"STANDARD_NAME":"GSE11367_CTRL_VS_IL17_TREATED_SMOOTH_MUSCLE_CELL_DN","SYSTEMATIC_NAME":"M461","ORGANISM":"Homo sapiens","PMID":"19075290","AUTHORS":"Rao DA,Eid RE,Qin L,Yi T,Kirkiles-Smith NC,Tellides G,Pober JS","GEOID":"GSE11367","EXACT_SOURCE":"GSE11367_3380_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in vascular smooth muscle cells: control versus treated with IL17A [GeneID=3605].","DESCRIPTION_FULL":"Investigate the effect of recombinant human IL-17A on vascular smooth muscle cells cultured from human aortas."}
{"STANDARD_NAME":"GSE7459_UNTREATED_VS_IL6_TREATED_ACT_CD4_TCELL_UP","SYSTEMATIC_NAME":"M462","ORGANISM":"Mus musculus","PMID":"19139170","AUTHORS":"Dienz O,Eaton SM,Bond JP,Neveu W,Moquin D,Noubade R,Briso EM,Charland C,Leonard WJ,Ciliberto G,Teuscher C,Haynes L,Rincon M","GEOID":"GSE7459","EXACT_SOURCE":"GSE7459_2237_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells: control versus IL6 [GeneID=3569].","DESCRIPTION_FULL":"IL-6, a proinflammtory cytokine produced by antigen presenting cells and non-hematopoietic cells in response to external stimuli, acts as an important bridge between the innate and adaptive immune responses. IL-6 together with IL-4 can promote Th2 polarization, while in combination with TGFbeta mediates Th17 differentiation. We examined early changes in gene expression in mouse CD4+ T cells induced by IL-6."}
{"STANDARD_NAME":"GSE7459_UNTREATED_VS_IL6_TREATED_ACT_CD4_TCELL_DN","SYSTEMATIC_NAME":"M463","ORGANISM":"Mus musculus","PMID":"19139170","AUTHORS":"Dienz O,Eaton SM,Bond JP,Neveu W,Moquin D,Noubade R,Briso EM,Charland C,Leonard WJ,Ciliberto G,Teuscher C,Haynes L,Rincon M","GEOID":"GSE7459","EXACT_SOURCE":"GSE7459_2237_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells: control versus IL6 [GeneID=3569].","DESCRIPTION_FULL":"IL-6, a proinflammtory cytokine produced by antigen presenting cells and non-hematopoietic cells in response to external stimuli, acts as an important bridge between the innate and adaptive immune responses. IL-6 together with IL-4 can promote Th2 polarization, while in combination with TGFbeta mediates Th17 differentiation. We examined early changes in gene expression in mouse CD4+ T cells induced by IL-6."}
{"STANDARD_NAME":"GSE13173_UNTREATED_VS_IL12_TREATED_ACT_CD8_TCELL_UP","SYSTEMATIC_NAME":"M464","ORGANISM":"Mus musculus","PMID":"19155481","AUTHORS":"Markiewicz MA,Wise EL,Buchwald ZS,Cheney EE,Hansen TH,Suri A,Cemerski S,Allen PM,Shaw AS","GEOID":"GSE13173","EXACT_SOURCE":"GSE13173_2734_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in splenocytes from OT-1 TCR transgenic mice: control versus IL-12 treatment.","DESCRIPTION_FULL":"The goal was to determine how IL-12 affects gene expression by murine CTL."}
{"STANDARD_NAME":"GSE13173_UNTREATED_VS_IL12_TREATED_ACT_CD8_TCELL_DN","SYSTEMATIC_NAME":"M465","ORGANISM":"Mus musculus","PMID":"19155481","AUTHORS":"Markiewicz MA,Wise EL,Buchwald ZS,Cheney EE,Hansen TH,Suri A,Cemerski S,Allen PM,Shaw AS","GEOID":"GSE13173","EXACT_SOURCE":"GSE13173_2734_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in splenocytes from OT-1 TCR transgenic mice: control versus IL-12 treatment.","DESCRIPTION_FULL":"The goal was to determine how IL-12 affects gene expression by murine CTL."}
{"STANDARD_NAME":"GSE14413_UNSTIM_VS_IFNB_STIM_NIH3T3_CELLS_UP","SYSTEMATIC_NAME":"M466","ORGANISM":"Mus musculus","PMID":"19158679","AUTHORS":"Bürckstümmer T,Baumann C,Blüml S,Dixit E,Dürnberger G,Jahn H,Planyavsky M,Bilban M,Colinge J,Bennett KL,Superti-Furga G","GEOID":"GSE14413","EXACT_SOURCE":"GSE14413_1127_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in NIH3T3 cells (fibroblast): control versus stimulated with IFN-b.","DESCRIPTION_FULL":"Cytoplasmic DNA triggers the activation of the innate immune system. While downstream signaling components have been characterized, the DNA sensing components remain largely elusive. We performed a systematic proteomics screen for proteins that associate with DNA, traversed to a screen for IFN-β-induced transcripts. We identified DSIRE (DNA sensor for the IL-1β response, previously called AIM2) as a candidate cytoplasmic sensor. DSIRE showed a marked selectivity for double-stranded DNA. DSIRE can recruit the inflammasome adaptor ASC and gets redistributed to ASC speckles upon coexpression of ASC. RNAi-mediated reduction of DSIRE expression led to an impairment in IL-1β maturation. Reconstitution of unresponsive cells with DSIRE, ASC, caspase 1 and IL-1β showed that DSIRE is sufficient for inflammasome activation. Overall, our data strongly suggest that DSIRE is a cytoplasmic DNA sensor for the inflammasome."}
{"STANDARD_NAME":"GSE14413_UNSTIM_VS_IFNB_STIM_RAW264_CELLS_UP","SYSTEMATIC_NAME":"M469","ORGANISM":"Mus musculus","PMID":"19158679","AUTHORS":"Bürckstümmer T,Baumann C,Blüml S,Dixit E,Dürnberger G,Jahn H,Planyavsky M,Bilban M,Colinge J,Bennett KL,Superti-Furga G","GEOID":"GSE14413","EXACT_SOURCE":"GSE14413_1126_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in RAW264.7 cells (macrophage): control versus stimulated with IFN-b.","DESCRIPTION_FULL":"Cytoplasmic DNA triggers the activation of the innate immune system. While downstream signaling components have been characterized, the DNA sensing components remain largely elusive. We performed a systematic proteomics screen for proteins that associate with DNA, traversed to a screen for IFN-β-induced transcripts. We identified DSIRE (DNA sensor for the IL-1β response, previously called AIM2) as a candidate cytoplasmic sensor. DSIRE showed a marked selectivity for double-stranded DNA. DSIRE can recruit the inflammasome adaptor ASC and gets redistributed to ASC speckles upon coexpression of ASC. RNAi-mediated reduction of DSIRE expression led to an impairment in IL-1β maturation. Reconstitution of unresponsive cells with DSIRE, ASC, caspase 1 and IL-1β showed that DSIRE is sufficient for inflammasome activation. Overall, our data strongly suggest that DSIRE is a cytoplasmic DNA sensor for the inflammasome."}
{"STANDARD_NAME":"GSE14413_UNSTIM_VS_IFNB_STIM_RAW264_CELLS_DN","SYSTEMATIC_NAME":"M470","ORGANISM":"Mus musculus","PMID":"19158679","AUTHORS":"Bürckstümmer T,Baumann C,Blüml S,Dixit E,Dürnberger G,Jahn H,Planyavsky M,Bilban M,Colinge J,Bennett KL,Superti-Furga G","GEOID":"GSE14413","EXACT_SOURCE":"GSE14413_1126_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in RAW264.7 cells (macrophage): control versus stimulated with IFN-b.","DESCRIPTION_FULL":"Cytoplasmic DNA triggers the activation of the innate immune system. While downstream signaling components have been characterized, the DNA sensing components remain largely elusive. We performed a systematic proteomics screen for proteins that associate with DNA, traversed to a screen for IFN-β-induced transcripts. We identified DSIRE (DNA sensor for the IL-1β response, previously called AIM2) as a candidate cytoplasmic sensor. DSIRE showed a marked selectivity for double-stranded DNA. DSIRE can recruit the inflammasome adaptor ASC and gets redistributed to ASC speckles upon coexpression of ASC. RNAi-mediated reduction of DSIRE expression led to an impairment in IL-1β maturation. Reconstitution of unresponsive cells with DSIRE, ASC, caspase 1 and IL-1β showed that DSIRE is sufficient for inflammasome activation. Overall, our data strongly suggest that DSIRE is a cytoplasmic DNA sensor for the inflammasome."}
{"STANDARD_NAME":"GSE14413_UNSTIM_VS_IFNB_STIM_NIH3T3_CELLS_DN","SYSTEMATIC_NAME":"M471","ORGANISM":"Mus musculus","PMID":"19158679","AUTHORS":"Bürckstümmer T,Baumann C,Blüml S,Dixit E,Dürnberger G,Jahn H,Planyavsky M,Bilban M,Colinge J,Bennett KL,Superti-Furga G","GEOID":"GSE14413","EXACT_SOURCE":"GSE14413_1127_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in NIH3T3 cells (fibroblast): control versus stimulated with IFN-b.","DESCRIPTION_FULL":"Cytoplasmic DNA triggers the activation of the innate immune system. While downstream signaling components have been characterized, the DNA sensing components remain largely elusive. We performed a systematic proteomics screen for proteins that associate with DNA, traversed to a screen for IFN-β-induced transcripts. We identified DSIRE (DNA sensor for the IL-1β response, previously called AIM2) as a candidate cytoplasmic sensor. DSIRE showed a marked selectivity for double-stranded DNA. DSIRE can recruit the inflammasome adaptor ASC and gets redistributed to ASC speckles upon coexpression of ASC. RNAi-mediated reduction of DSIRE expression led to an impairment in IL-1β maturation. Reconstitution of unresponsive cells with DSIRE, ASC, caspase 1 and IL-1β showed that DSIRE is sufficient for inflammasome activation. Overall, our data strongly suggest that DSIRE is a cytoplasmic DNA sensor for the inflammasome."}
{"STANDARD_NAME":"GSE14413_UNSTIM_VS_IFNB_STIM_L929_CELLS_DN","SYSTEMATIC_NAME":"M472","ORGANISM":"Mus musculus","PMID":"19158679","AUTHORS":"Bürckstümmer T,Baumann C,Blüml S,Dixit E,Dürnberger G,Jahn H,Planyavsky M,Bilban M,Colinge J,Bennett KL,Superti-Furga G","GEOID":"GSE14413","EXACT_SOURCE":"GSE14413_1128_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in L929 cells (fibroblast): control versus stimulated with IFN-b.","DESCRIPTION_FULL":"Cytoplasmic DNA triggers the activation of the innate immune system. While downstream signaling components have been characterized, the DNA sensing components remain largely elusive. We performed a systematic proteomics screen for proteins that associate with DNA, traversed to a screen for IFN-β-induced transcripts. We identified DSIRE (DNA sensor for the IL-1β response, previously called AIM2) as a candidate cytoplasmic sensor. DSIRE showed a marked selectivity for double-stranded DNA. DSIRE can recruit the inflammasome adaptor ASC and gets redistributed to ASC speckles upon coexpression of ASC. RNAi-mediated reduction of DSIRE expression led to an impairment in IL-1β maturation. Reconstitution of unresponsive cells with DSIRE, ASC, caspase 1 and IL-1β showed that DSIRE is sufficient for inflammasome activation. Overall, our data strongly suggest that DSIRE is a cytoplasmic DNA sensor for the inflammasome."}
{"STANDARD_NAME":"GSE14413_UNSTIM_VS_IFNB_STIM_L929_CELLS_UP","SYSTEMATIC_NAME":"M473","ORGANISM":"Mus musculus","PMID":"19158679","AUTHORS":"Bürckstümmer T,Baumann C,Blüml S,Dixit E,Dürnberger G,Jahn H,Planyavsky M,Bilban M,Colinge J,Bennett KL,Superti-Furga G","GEOID":"GSE14413","EXACT_SOURCE":"GSE14413_1128_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in L929 cells (fibroblast): control versus stimulated with IFN-b.","DESCRIPTION_FULL":"Cytoplasmic DNA triggers the activation of the innate immune system. While downstream signaling components have been characterized, the DNA sensing components remain largely elusive. We performed a systematic proteomics screen for proteins that associate with DNA, traversed to a screen for IFN-β-induced transcripts. We identified DSIRE (DNA sensor for the IL-1β response, previously called AIM2) as a candidate cytoplasmic sensor. DSIRE showed a marked selectivity for double-stranded DNA. DSIRE can recruit the inflammasome adaptor ASC and gets redistributed to ASC speckles upon coexpression of ASC. RNAi-mediated reduction of DSIRE expression led to an impairment in IL-1β maturation. Reconstitution of unresponsive cells with DSIRE, ASC, caspase 1 and IL-1β showed that DSIRE is sufficient for inflammasome activation. Overall, our data strongly suggest that DSIRE is a cytoplasmic DNA sensor for the inflammasome."}
{"STANDARD_NAME":"GSE13887_ACT_CD4_VS_NO_TREATED_CD4_TCELL_DN","SYSTEMATIC_NAME":"M474","ORGANISM":"Homo sapiens","PMID":"19201859","AUTHORS":"Fernandez DR,Telarico T,Bonilla E,Li Q,Banerjee S,Middleton FA,Phillips PE,Crow MK,Oess S,Muller-Esterl W,Perl A","GEOID":"GSE13887","EXACT_SOURCE":"GSE13887_2807_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells from healthy donors: activated by anti-CD3 and anti-CD28 versus nitric oxide [PubChem=145068] treatment.","DESCRIPTION_FULL":"CD3-positive T cells were negatively isolated from 10 SLE patients and 9 healthy controls without SLE. All of the SLE samples and control samples were compared with one another to identify baseline differences in expression due to the disease. Next, T cell preparations from 4 of the control subjects were stimulated with either Nitric Oxide (NOC-18) 600 uM for 24hr or stimulated through CD3/CD28 for 24hr to determine which genes were responsive to these signaling mechanisms. Here, we show that activity of the mammalian target of rapamycin (mTOR), which is a sensor of the mitochondrial transmembrane potential, is increased in SLE T cells. Activation of mTOR was inducible by NO, a key trigger of MHP which in turn enhanced the expression of HRES-1/Rab4, a small GTPase that regulates recycling of surface receptors through early endosomes. Expression of HRES-1/Rab4 was increased in SLE T cells and, in accordance with its dominant impact on the endocytic recycling of CD4, it was inversely correlated with diminished CD4 expression. HRES-1/Rab4 over-expression was also inversely correlated with diminished TCRζ protein levels. Combined with follow up studies, these results suggest that activation of mTOR causes the loss of TCRζ in lupus T cells through HRES-1/Rab4-dependent lysosomal degradation."}
{"STANDARD_NAME":"GSE13887_HEALTHY_VS_LUPUS_RESTING_CD4_TCELL_DN","SYSTEMATIC_NAME":"M475","ORGANISM":"Homo sapiens","PMID":"19201859","AUTHORS":"Fernandez DR,Telarico T,Bonilla E,Li Q,Banerjee S,Middleton FA,Phillips PE,Crow MK,Oess S,Muller-Esterl W,Perl A","GEOID":"GSE13887","EXACT_SOURCE":"GSE13887_2804_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in resting CD4 [GeneID=920] T cells: healthy versus systemic lupus erythrematosus (SLE).","DESCRIPTION_FULL":"CD3-positive T cells were negatively isolated from 10 SLE patients and 9 healthy controls without SLE. All of the SLE samples and control samples were compared with one another to identify baseline differences in expression due to the disease. Next, T cell preparations from 4 of the control subjects were stimulated with either Nitric Oxide (NOC-18) 600 uM for 24hr or stimulated through CD3/CD28 for 24hr to determine which genes were responsive to these signaling mechanisms. Here, we show that activity of the mammalian target of rapamycin (mTOR), which is a sensor of the mitochondrial transmembrane potential, is increased in SLE T cells. Activation of mTOR was inducible by NO, a key trigger of MHP which in turn enhanced the expression of HRES-1/Rab4, a small GTPase that regulates recycling of surface receptors through early endosomes. Expression of HRES-1/Rab4 was increased in SLE T cells and, in accordance with its dominant impact on the endocytic recycling of CD4, it was inversely correlated with diminished CD4 expression. HRES-1/Rab4 over-expression was also inversely correlated with diminished TCRζ protein levels. Combined with follow up studies, these results suggest that activation of mTOR causes the loss of TCRζ in lupus T cells through HRES-1/Rab4-dependent lysosomal degradation."}
{"STANDARD_NAME":"GSE13887_RESTING_VS_ACT_CD4_TCELL_UP","SYSTEMATIC_NAME":"M478","ORGANISM":"Homo sapiens","PMID":"19201859","AUTHORS":"Fernandez DR,Telarico T,Bonilla E,Li Q,Banerjee S,Middleton FA,Phillips PE,Crow MK,Oess S,Muller-Esterl W,Perl A","GEOID":"GSE13887","EXACT_SOURCE":"GSE13887_2805_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells from healthy donors: resting versus activated by anti-CD3 and anti-CD28.","DESCRIPTION_FULL":"CD3-positive T cells were negatively isolated from 10 SLE patients and 9 healthy controls without SLE. All of the SLE samples and control samples were compared with one another to identify baseline differences in expression due to the disease. Next, T cell preparations from 4 of the control subjects were stimulated with either Nitric Oxide (NOC-18) 600 uM for 24hr or stimulated through CD3/CD28 for 24hr to determine which genes were responsive to these signaling mechanisms. Here, we show that activity of the mammalian target of rapamycin (mTOR), which is a sensor of the mitochondrial transmembrane potential, is increased in SLE T cells. Activation of mTOR was inducible by NO, a key trigger of MHP which in turn enhanced the expression of HRES-1/Rab4, a small GTPase that regulates recycling of surface receptors through early endosomes. Expression of HRES-1/Rab4 was increased in SLE T cells and, in accordance with its dominant impact on the endocytic recycling of CD4, it was inversely correlated with diminished CD4 expression. HRES-1/Rab4 over-expression was also inversely correlated with diminished TCRζ protein levels. Combined with follow up studies, these results suggest that activation of mTOR causes the loss of TCRζ in lupus T cells through HRES-1/Rab4-dependent lysosomal degradation."}
{"STANDARD_NAME":"GSE13887_RESTING_VS_NO_TREATED_CD4_TCELL_DN","SYSTEMATIC_NAME":"M479","ORGANISM":"Homo sapiens","PMID":"19201859","AUTHORS":"Fernandez DR,Telarico T,Bonilla E,Li Q,Banerjee S,Middleton FA,Phillips PE,Crow MK,Oess S,Muller-Esterl W,Perl A","GEOID":"GSE13887","EXACT_SOURCE":"GSE13887_2806_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells from healthy donors: resting versus nitric oxide [PubChem=145068].","DESCRIPTION_FULL":"CD3-positive T cells were negatively isolated from 10 SLE patients and 9 healthy controls without SLE. All of the SLE samples and control samples were compared with one another to identify baseline differences in expression due to the disease. Next, T cell preparations from 4 of the control subjects were stimulated with either Nitric Oxide (NOC-18) 600 uM for 24hr or stimulated through CD3/CD28 for 24hr to determine which genes were responsive to these signaling mechanisms. Here, we show that activity of the mammalian target of rapamycin (mTOR), which is a sensor of the mitochondrial transmembrane potential, is increased in SLE T cells. Activation of mTOR was inducible by NO, a key trigger of MHP which in turn enhanced the expression of HRES-1/Rab4, a small GTPase that regulates recycling of surface receptors through early endosomes. Expression of HRES-1/Rab4 was increased in SLE T cells and, in accordance with its dominant impact on the endocytic recycling of CD4, it was inversely correlated with diminished CD4 expression. HRES-1/Rab4 over-expression was also inversely correlated with diminished TCRζ protein levels. Combined with follow up studies, these results suggest that activation of mTOR causes the loss of TCRζ in lupus T cells through HRES-1/Rab4-dependent lysosomal degradation."}
{"STANDARD_NAME":"GSE13887_ACT_CD4_VS_NO_TREATED_CD4_TCELL_UP","SYSTEMATIC_NAME":"M481","ORGANISM":"Homo sapiens","PMID":"19201859","AUTHORS":"Fernandez DR,Telarico T,Bonilla E,Li Q,Banerjee S,Middleton FA,Phillips PE,Crow MK,Oess S,Muller-Esterl W,Perl A","GEOID":"GSE13887","EXACT_SOURCE":"GSE13887_2807_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells from healthy donors: activated by anti-CD3 and anti-CD28 versus nitric oxide [PubChem=145068] treatment.","DESCRIPTION_FULL":"CD3-positive T cells were negatively isolated from 10 SLE patients and 9 healthy controls without SLE. All of the SLE samples and control samples were compared with one another to identify baseline differences in expression due to the disease. Next, T cell preparations from 4 of the control subjects were stimulated with either Nitric Oxide (NOC-18) 600 uM for 24hr or stimulated through CD3/CD28 for 24hr to determine which genes were responsive to these signaling mechanisms. Here, we show that activity of the mammalian target of rapamycin (mTOR), which is a sensor of the mitochondrial transmembrane potential, is increased in SLE T cells. Activation of mTOR was inducible by NO, a key trigger of MHP which in turn enhanced the expression of HRES-1/Rab4, a small GTPase that regulates recycling of surface receptors through early endosomes. Expression of HRES-1/Rab4 was increased in SLE T cells and, in accordance with its dominant impact on the endocytic recycling of CD4, it was inversely correlated with diminished CD4 expression. HRES-1/Rab4 over-expression was also inversely correlated with diminished TCRζ protein levels. Combined with follow up studies, these results suggest that activation of mTOR causes the loss of TCRζ in lupus T cells through HRES-1/Rab4-dependent lysosomal degradation."}
{"STANDARD_NAME":"GSE13887_RESTING_VS_ACT_CD4_TCELL_DN","SYSTEMATIC_NAME":"M484","ORGANISM":"Homo sapiens","PMID":"19201859","AUTHORS":"Fernandez DR,Telarico T,Bonilla E,Li Q,Banerjee S,Middleton FA,Phillips PE,Crow MK,Oess S,Muller-Esterl W,Perl A","GEOID":"GSE13887","EXACT_SOURCE":"GSE13887_2805_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells from healthy donors: resting versus activated by anti-CD3 and anti-CD28.","DESCRIPTION_FULL":"CD3-positive T cells were negatively isolated from 10 SLE patients and 9 healthy controls without SLE. All of the SLE samples and control samples were compared with one another to identify baseline differences in expression due to the disease. Next, T cell preparations from 4 of the control subjects were stimulated with either Nitric Oxide (NOC-18) 600 uM for 24hr or stimulated through CD3/CD28 for 24hr to determine which genes were responsive to these signaling mechanisms. Here, we show that activity of the mammalian target of rapamycin (mTOR), which is a sensor of the mitochondrial transmembrane potential, is increased in SLE T cells. Activation of mTOR was inducible by NO, a key trigger of MHP which in turn enhanced the expression of HRES-1/Rab4, a small GTPase that regulates recycling of surface receptors through early endosomes. Expression of HRES-1/Rab4 was increased in SLE T cells and, in accordance with its dominant impact on the endocytic recycling of CD4, it was inversely correlated with diminished CD4 expression. HRES-1/Rab4 over-expression was also inversely correlated with diminished TCRζ protein levels. Combined with follow up studies, these results suggest that activation of mTOR causes the loss of TCRζ in lupus T cells through HRES-1/Rab4-dependent lysosomal degradation."}
{"STANDARD_NAME":"GSE13887_RESTING_VS_NO_TREATED_CD4_TCELL_UP","SYSTEMATIC_NAME":"M485","ORGANISM":"Homo sapiens","PMID":"19201859","AUTHORS":"Fernandez DR,Telarico T,Bonilla E,Li Q,Banerjee S,Middleton FA,Phillips PE,Crow MK,Oess S,Muller-Esterl W,Perl A","GEOID":"GSE13887","EXACT_SOURCE":"GSE13887_2806_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells from healthy donors: resting versus nitric oxide [PubChem=145068].","DESCRIPTION_FULL":"CD3-positive T cells were negatively isolated from 10 SLE patients and 9 healthy controls without SLE. All of the SLE samples and control samples were compared with one another to identify baseline differences in expression due to the disease. Next, T cell preparations from 4 of the control subjects were stimulated with either Nitric Oxide (NOC-18) 600 uM for 24hr or stimulated through CD3/CD28 for 24hr to determine which genes were responsive to these signaling mechanisms. Here, we show that activity of the mammalian target of rapamycin (mTOR), which is a sensor of the mitochondrial transmembrane potential, is increased in SLE T cells. Activation of mTOR was inducible by NO, a key trigger of MHP which in turn enhanced the expression of HRES-1/Rab4, a small GTPase that regulates recycling of surface receptors through early endosomes. Expression of HRES-1/Rab4 was increased in SLE T cells and, in accordance with its dominant impact on the endocytic recycling of CD4, it was inversely correlated with diminished CD4 expression. HRES-1/Rab4 over-expression was also inversely correlated with diminished TCRζ protein levels. Combined with follow up studies, these results suggest that activation of mTOR causes the loss of TCRζ in lupus T cells through HRES-1/Rab4-dependent lysosomal degradation."}
{"STANDARD_NAME":"GSE13887_HEALTHY_VS_LUPUS_RESTING_CD4_TCELL_UP","SYSTEMATIC_NAME":"M1889","ORGANISM":"Homo sapiens","PMID":"19201859","AUTHORS":"Fernandez DR,Telarico T,Bonilla E,Li Q,Banerjee S,Middleton FA,Phillips PE,Crow MK,Oess S,Muller-Esterl W,Perl A","GEOID":"GSE13887","EXACT_SOURCE":"GSE13887_2804_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in resting CD4 [GeneID=920] T cells: healthy versus systemic lupus erythrematosus (SLE).","DESCRIPTION_FULL":"CD3-positive T cells were negatively isolated from 10 SLE patients and 9 healthy controls without SLE. All of the SLE samples and control samples were compared with one another to identify baseline differences in expression due to the disease. Next, T cell preparations from 4 of the control subjects were stimulated with either Nitric Oxide (NOC-18) 600 uM for 24hr or stimulated through CD3/CD28 for 24hr to determine which genes were responsive to these signaling mechanisms. Here, we show that activity of the mammalian target of rapamycin (mTOR), which is a sensor of the mitochondrial transmembrane potential, is increased in SLE T cells. Activation of mTOR was inducible by NO, a key trigger of MHP which in turn enhanced the expression of HRES-1/Rab4, a small GTPase that regulates recycling of surface receptors through early endosomes. Expression of HRES-1/Rab4 was increased in SLE T cells and, in accordance with its dominant impact on the endocytic recycling of CD4, it was inversely correlated with diminished CD4 expression. HRES-1/Rab4 over-expression was also inversely correlated with diminished TCRζ protein levels. Combined with follow up studies, these results suggest that activation of mTOR causes the loss of TCRζ in lupus T cells through HRES-1/Rab4-dependent lysosomal degradation."}
{"STANDARD_NAME":"GSE13762_CTRL_VS_125_VITAMIND_DAY5_DC_DN","SYSTEMATIC_NAME":"M1891","ORGANISM":"Homo sapiens","PMID":"19201860","AUTHORS":"Széles L,Keresztes G,Töröcsik D,Balajthy Z,Krenács L,Póliska S,Steinmeyer A,Zuegel U,Pruenster M,Rot A,Nagy L","GEOID":"GSE13762","EXACT_SOURCE":"GSE13762_3470_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in dendritic cells (5 days): control versus 25-hydroxyvitamin D3 [PubChem=1593].","DESCRIPTION_FULL":"We have carried out global gene expression analysis to clarify the interrelationship between 1,25-dihydroxyvitamin D3 and differentiation-driven gene expression patterns in developing human monocyte-derived dendritic cells. Monocytes were treated with 10 nM 1,25-dihydroxyvitamin D3 or vehicle 14 hours after plating for 12 hours or 5 days. Monocytes, differentiating dendritic cells (+/-1,25-dihydroxyvitamin D3 for 12 hours) and immature dendritic cells (+/-1,25-dihydroxyvitamin D3 for 5 days) were harvested. This design allows one to identify genes regulated by differentiation and/or 1,25-dihydroxyvitamin D3 in human monocyte-derived dendritic cells."}
{"STANDARD_NAME":"GSE13762_CTRL_VS_125_VITAMIND_DAY12_DC_UP","SYSTEMATIC_NAME":"M1892","ORGANISM":"Homo sapiens","PMID":"19201860","AUTHORS":"Széles L,Keresztes G,Töröcsik D,Balajthy Z,Krenács L,Póliska S,Steinmeyer A,Zuegel U,Pruenster M,Rot A,Nagy L","GEOID":"GSE13762","EXACT_SOURCE":"GSE13762_3471_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in dendritic cells (12 days): control versus 25-hydroxyvitamin D3 [PubChem=1593].","DESCRIPTION_FULL":"We have carried out global gene expression analysis to clarify the interrelationship between 1,25-dihydroxyvitamin D3 and differentiation-driven gene expression patterns in developing human monocyte-derived dendritic cells. Monocytes were treated with 10 nM 1,25-dihydroxyvitamin D3 or vehicle 14 hours after plating for 12 hours or 5 days. Monocytes, differentiating dendritic cells (+/-1,25-dihydroxyvitamin D3 for 12 hours) and immature dendritic cells (+/-1,25-dihydroxyvitamin D3 for 5 days) were harvested. This design allows one to identify genes regulated by differentiation and/or 1,25-dihydroxyvitamin D3 in human monocyte-derived dendritic cells."}
{"STANDARD_NAME":"GSE13762_CTRL_VS_125_VITAMIND_DAY5_DC_UP","SYSTEMATIC_NAME":"M1894","ORGANISM":"Homo sapiens","PMID":"19201860","AUTHORS":"Széles L,Keresztes G,Töröcsik D,Balajthy Z,Krenács L,Póliska S,Steinmeyer A,Zuegel U,Pruenster M,Rot A,Nagy L","GEOID":"GSE13762","EXACT_SOURCE":"GSE13762_3470_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in dendritic cells (5 days): control versus 25-hydroxyvitamin D3 [PubChem=1593].","DESCRIPTION_FULL":"We have carried out global gene expression analysis to clarify the interrelationship between 1,25-dihydroxyvitamin D3 and differentiation-driven gene expression patterns in developing human monocyte-derived dendritic cells. Monocytes were treated with 10 nM 1,25-dihydroxyvitamin D3 or vehicle 14 hours after plating for 12 hours or 5 days. Monocytes, differentiating dendritic cells (+/-1,25-dihydroxyvitamin D3 for 12 hours) and immature dendritic cells (+/-1,25-dihydroxyvitamin D3 for 5 days) were harvested. This design allows one to identify genes regulated by differentiation and/or 1,25-dihydroxyvitamin D3 in human monocyte-derived dendritic cells."}
{"STANDARD_NAME":"GSE13762_CTRL_VS_125_VITAMIND_DAY12_DC_DN","SYSTEMATIC_NAME":"M1896","ORGANISM":"Homo sapiens","PMID":"19201860","AUTHORS":"Széles L,Keresztes G,Töröcsik D,Balajthy Z,Krenács L,Póliska S,Steinmeyer A,Zuegel U,Pruenster M,Rot A,Nagy L","GEOID":"GSE13762","EXACT_SOURCE":"GSE13762_3471_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in dendritic cells (12 days): control versus 25-hydroxyvitamin D3 [PubChem=1593].","DESCRIPTION_FULL":"We have carried out global gene expression analysis to clarify the interrelationship between 1,25-dihydroxyvitamin D3 and differentiation-driven gene expression patterns in developing human monocyte-derived dendritic cells. Monocytes were treated with 10 nM 1,25-dihydroxyvitamin D3 or vehicle 14 hours after plating for 12 hours or 5 days. Monocytes, differentiating dendritic cells (+/-1,25-dihydroxyvitamin D3 for 12 hours) and immature dendritic cells (+/-1,25-dihydroxyvitamin D3 for 5 days) were harvested. This design allows one to identify genes regulated by differentiation and/or 1,25-dihydroxyvitamin D3 in human monocyte-derived dendritic cells."}
{"STANDARD_NAME":"GSE13522_WT_VS_IFNG_KO_SKIN_DN","SYSTEMATIC_NAME":"M1898","ORGANISM":"Mus musculus","PMID":"19201883","AUTHORS":"Chessler AD,Unnikrishnan M,Bei AK,Daily JP,Burleigh BA","GEOID":"GSE13522","EXACT_SOURCE":"GSE13522_3071_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in skin from: wildtype (BALB/c) versus IFNG [GeneID=3458] knockout.","DESCRIPTION_FULL":"To investigate the early host response triggered by three different strains of Trypanosoma cruzi at a local infection site, changes in host gene expression were monitored in a murine intradermal infection model using Affymetrix oligonucleotide arrays. Robust induction of IFN-stimulated genes (ISGs) was observed in excised skin 24 hours post-infection where the level of ISG induction was parasite strain-dependent with the least virulent strain triggering a muted IFN response. Infection of mice immunodepleted of IFNγ-producing cells or infection of IFNγ-deficient mice had minimal impact on the IFN response generated in T. cruzi infected mice. In contrast, infection of mice lacking the type I IFN receptor demonstrated that type I IFNs are largely responsible for the IFN response generated at the site of infection. These data highlight type I IFNs as important components of the innate immune response to T. cruzi the site of inoculation and their role in shaping the early transcriptional response to this pathogen. We used microarrays to detail the local host transcriptional response to intradermal T. cruzi infection in WT mice and mice depleted of NK cells, or deficient in IFN-gamma or type I IFN responses. Additionally we compared the local host-transcriptional response generated to infection with 3 different strains of Trypanosoma cruzi (Y, Brazil, and G). "}
{"STANDARD_NAME":"GSE13522_CTRL_VS_T_CRUZI_Y_STRAIN_INF_SKIN_BALBC_MOUSE_UP","SYSTEMATIC_NAME":"M2906","ORGANISM":"Mus musculus","PMID":"19201883","AUTHORS":"Chessler AD,Unnikrishnan M,Bei AK,Daily JP,Burleigh BA","GEOID":"GSE13522","EXACT_SOURCE":"GSE13522_3068_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in skin from BALB/c mice after injection of: control versus Trypanosoma cruzi (strain Y).","DESCRIPTION_FULL":"To investigate the early host response triggered by three different strains of Trypanosoma cruzi at a local infection site, changes in host gene expression were monitored in a murine intradermal infection model using Affymetrix oligonucleotide arrays. Robust induction of IFN-stimulated genes (ISGs) was observed in excised skin 24 hours post-infection where the level of ISG induction was parasite strain-dependent with the least virulent strain triggering a muted IFN response. Infection of mice immunodepleted of IFNγ-producing cells or infection of IFNγ-deficient mice had minimal impact on the IFN response generated in T. cruzi infected mice. In contrast, infection of mice lacking the type I IFN receptor demonstrated that type I IFNs are largely responsible for the IFN response generated at the site of infection. These data highlight type I IFNs as important components of the innate immune response to T. cruzi the site of inoculation and their role in shaping the early transcriptional response to this pathogen. We used microarrays to detail the local host transcriptional response to intradermal T. cruzi infection in WT mice and mice depleted of NK cells, or deficient in IFN-gamma or type I IFN responses. Additionally we compared the local host-transcriptional response generated to infection with 3 different strains of Trypanosoma cruzi (Y, Brazil, and G). "}
{"STANDARD_NAME":"GSE13522_CTRL_VS_T_CRUZI_BRAZIL_STRAIN_INF_SKIN_UP","SYSTEMATIC_NAME":"M2908","ORGANISM":"Mus musculus","PMID":"19201883","AUTHORS":"Chessler AD,Unnikrishnan M,Bei AK,Daily JP,Burleigh BA","GEOID":"GSE13522","EXACT_SOURCE":"GSE13522_3069_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in skin from BALB/c mice after injection of: control versus Trypanosoma cruzi (strain Brazil).","DESCRIPTION_FULL":"To investigate the early host response triggered by three different strains of Trypanosoma cruzi at a local infection site, changes in host gene expression were monitored in a murine intradermal infection model using Affymetrix oligonucleotide arrays. Robust induction of IFN-stimulated genes (ISGs) was observed in excised skin 24 hours post-infection where the level of ISG induction was parasite strain-dependent with the least virulent strain triggering a muted IFN response. Infection of mice immunodepleted of IFNγ-producing cells or infection of IFNγ-deficient mice had minimal impact on the IFN response generated in T. cruzi infected mice. In contrast, infection of mice lacking the type I IFN receptor demonstrated that type I IFNs are largely responsible for the IFN response generated at the site of infection. These data highlight type I IFNs as important components of the innate immune response to T. cruzi the site of inoculation and their role in shaping the early transcriptional response to this pathogen. We used microarrays to detail the local host transcriptional response to intradermal T. cruzi infection in WT mice and mice depleted of NK cells, or deficient in IFN-gamma or type I IFN responses. Additionally we compared the local host-transcriptional response generated to infection with 3 different strains of Trypanosoma cruzi (Y, Brazil, and G). "}
{"STANDARD_NAME":"GSE13522_CTRL_VS_T_CRUZI_Y_STRAIN_INF_SKIN_IFNG_KO_DN","SYSTEMATIC_NAME":"M2910","ORGANISM":"Mus musculus","PMID":"19201883","AUTHORS":"Chessler AD,Unnikrishnan M,Bei AK,Daily JP,Burleigh BA","GEOID":"GSE13522","EXACT_SOURCE":"GSE13522_3072_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in skin from INFG [GeneID=3458] knockout mice after injection of: control versus Trypanosoma cruzi (strain Y).","DESCRIPTION_FULL":"To investigate the early host response triggered by three different strains of Trypanosoma cruzi at a local infection site, changes in host gene expression were monitored in a murine intradermal infection model using Affymetrix oligonucleotide arrays. Robust induction of IFN-stimulated genes (ISGs) was observed in excised skin 24 hours post-infection where the level of ISG induction was parasite strain-dependent with the least virulent strain triggering a muted IFN response. Infection of mice immunodepleted of IFNγ-producing cells or infection of IFNγ-deficient mice had minimal impact on the IFN response generated in T. cruzi infected mice. In contrast, infection of mice lacking the type I IFN receptor demonstrated that type I IFNs are largely responsible for the IFN response generated at the site of infection. These data highlight type I IFNs as important components of the innate immune response to T. cruzi the site of inoculation and their role in shaping the early transcriptional response to this pathogen. We used microarrays to detail the local host transcriptional response to intradermal T. cruzi infection in WT mice and mice depleted of NK cells, or deficient in IFN-gamma or type I IFN responses. Additionally we compared the local host-transcriptional response generated to infection with 3 different strains of Trypanosoma cruzi (Y, Brazil, and G). "}
{"STANDARD_NAME":"GSE13522_WT_VS_IFNG_KO_SKING_T_CRUZI_Y_STRAIN_INF_UP","SYSTEMATIC_NAME":"M2911","ORGANISM":"Mus musculus","PMID":"19201883","AUTHORS":"Chessler AD,Unnikrishnan M,Bei AK,Daily JP,Burleigh BA","GEOID":"GSE13522","EXACT_SOURCE":"GSE13522_3073_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in skin after injection of Trypanosoma cruzi (strain Y): wildtype (BALB/c) versus INFG [GeneID=3458] knockout.","DESCRIPTION_FULL":"To investigate the early host response triggered by three different strains of Trypanosoma cruzi at a local infection site, changes in host gene expression were monitored in a murine intradermal infection model using Affymetrix oligonucleotide arrays. Robust induction of IFN-stimulated genes (ISGs) was observed in excised skin 24 hours post-infection where the level of ISG induction was parasite strain-dependent with the least virulent strain triggering a muted IFN response. Infection of mice immunodepleted of IFNγ-producing cells or infection of IFNγ-deficient mice had minimal impact on the IFN response generated in T. cruzi infected mice. In contrast, infection of mice lacking the type I IFN receptor demonstrated that type I IFNs are largely responsible for the IFN response generated at the site of infection. These data highlight type I IFNs as important components of the innate immune response to T. cruzi the site of inoculation and their role in shaping the early transcriptional response to this pathogen. We used microarrays to detail the local host transcriptional response to intradermal T. cruzi infection in WT mice and mice depleted of NK cells, or deficient in IFN-gamma or type I IFN responses. Additionally we compared the local host-transcriptional response generated to infection with 3 different strains of Trypanosoma cruzi (Y, Brazil, and G). "}
{"STANDARD_NAME":"GSE13522_CTRL_VS_T_CRUZI_G_STRAIN_INF_SKIN_DN","SYSTEMATIC_NAME":"M2912","ORGANISM":"Mus musculus","PMID":"19201883","AUTHORS":"Chessler AD,Unnikrishnan M,Bei AK,Daily JP,Burleigh BA","GEOID":"GSE13522","EXACT_SOURCE":"GSE13522_3070_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in skin from BALB/c mice after injection of: control versus Trypanosoma cruzi (strain G).","DESCRIPTION_FULL":"To investigate the early host response triggered by three different strains of Trypanosoma cruzi at a local infection site, changes in host gene expression were monitored in a murine intradermal infection model using Affymetrix oligonucleotide arrays. Robust induction of IFN-stimulated genes (ISGs) was observed in excised skin 24 hours post-infection where the level of ISG induction was parasite strain-dependent with the least virulent strain triggering a muted IFN response. Infection of mice immunodepleted of IFNγ-producing cells or infection of IFNγ-deficient mice had minimal impact on the IFN response generated in T. cruzi infected mice. In contrast, infection of mice lacking the type I IFN receptor demonstrated that type I IFNs are largely responsible for the IFN response generated at the site of infection. These data highlight type I IFNs as important components of the innate immune response to T. cruzi the site of inoculation and their role in shaping the early transcriptional response to this pathogen. We used microarrays to detail the local host transcriptional response to intradermal T. cruzi infection in WT mice and mice depleted of NK cells, or deficient in IFN-gamma or type I IFN responses. Additionally we compared the local host-transcriptional response generated to infection with 3 different strains of Trypanosoma cruzi (Y, Brazil, and G). "}
{"STANDARD_NAME":"GSE13522_WT_VS_IFNG_KO_SKIN_UP","SYSTEMATIC_NAME":"M2913","ORGANISM":"Mus musculus","PMID":"19201883","AUTHORS":"Chessler AD,Unnikrishnan M,Bei AK,Daily JP,Burleigh BA","GEOID":"GSE13522","EXACT_SOURCE":"GSE13522_3071_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in skin from: wildtype (BALB/c) versus IFNG [GeneID=3458] knockout.","DESCRIPTION_FULL":"To investigate the early host response triggered by three different strains of Trypanosoma cruzi at a local infection site, changes in host gene expression were monitored in a murine intradermal infection model using Affymetrix oligonucleotide arrays. Robust induction of IFN-stimulated genes (ISGs) was observed in excised skin 24 hours post-infection where the level of ISG induction was parasite strain-dependent with the least virulent strain triggering a muted IFN response. Infection of mice immunodepleted of IFNγ-producing cells or infection of IFNγ-deficient mice had minimal impact on the IFN response generated in T. cruzi infected mice. In contrast, infection of mice lacking the type I IFN receptor demonstrated that type I IFNs are largely responsible for the IFN response generated at the site of infection. These data highlight type I IFNs as important components of the innate immune response to T. cruzi the site of inoculation and their role in shaping the early transcriptional response to this pathogen. We used microarrays to detail the local host transcriptional response to intradermal T. cruzi infection in WT mice and mice depleted of NK cells, or deficient in IFN-gamma or type I IFN responses. Additionally we compared the local host-transcriptional response generated to infection with 3 different strains of Trypanosoma cruzi (Y, Brazil, and G). "}
{"STANDARD_NAME":"GSE13522_CTRL_VS_T_CRUZI_Y_STRAIN_INF_SKIN_IFNG_KO_UP","SYSTEMATIC_NAME":"M2914","ORGANISM":"Mus musculus","PMID":"19201883","AUTHORS":"Chessler AD,Unnikrishnan M,Bei AK,Daily JP,Burleigh BA","GEOID":"GSE13522","EXACT_SOURCE":"GSE13522_3072_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in skin from INFG [GeneID=3458] knockout mice after injection of: control versus Trypanosoma cruzi (strain Y).","DESCRIPTION_FULL":"To investigate the early host response triggered by three different strains of Trypanosoma cruzi at a local infection site, changes in host gene expression were monitored in a murine intradermal infection model using Affymetrix oligonucleotide arrays. Robust induction of IFN-stimulated genes (ISGs) was observed in excised skin 24 hours post-infection where the level of ISG induction was parasite strain-dependent with the least virulent strain triggering a muted IFN response. Infection of mice immunodepleted of IFNγ-producing cells or infection of IFNγ-deficient mice had minimal impact on the IFN response generated in T. cruzi infected mice. In contrast, infection of mice lacking the type I IFN receptor demonstrated that type I IFNs are largely responsible for the IFN response generated at the site of infection. These data highlight type I IFNs as important components of the innate immune response to T. cruzi the site of inoculation and their role in shaping the early transcriptional response to this pathogen. We used microarrays to detail the local host transcriptional response to intradermal T. cruzi infection in WT mice and mice depleted of NK cells, or deficient in IFN-gamma or type I IFN responses. Additionally we compared the local host-transcriptional response generated to infection with 3 different strains of Trypanosoma cruzi (Y, Brazil, and G). "}
{"STANDARD_NAME":"GSE13522_WT_VS_IFNG_KO_SKING_T_CRUZI_Y_STRAIN_INF_DN","SYSTEMATIC_NAME":"M2915","ORGANISM":"Mus musculus","PMID":"19201883","AUTHORS":"Chessler AD,Unnikrishnan M,Bei AK,Daily JP,Burleigh BA","GEOID":"GSE13522","EXACT_SOURCE":"GSE13522_3073_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in skin after injection of Trypanosoma cruzi (strain Y): wildtype (BALB/c) versus INFG [GeneID=3458] knockout.","DESCRIPTION_FULL":"To investigate the early host response triggered by three different strains of Trypanosoma cruzi at a local infection site, changes in host gene expression were monitored in a murine intradermal infection model using Affymetrix oligonucleotide arrays. Robust induction of IFN-stimulated genes (ISGs) was observed in excised skin 24 hours post-infection where the level of ISG induction was parasite strain-dependent with the least virulent strain triggering a muted IFN response. Infection of mice immunodepleted of IFNγ-producing cells or infection of IFNγ-deficient mice had minimal impact on the IFN response generated in T. cruzi infected mice. In contrast, infection of mice lacking the type I IFN receptor demonstrated that type I IFNs are largely responsible for the IFN response generated at the site of infection. These data highlight type I IFNs as important components of the innate immune response to T. cruzi the site of inoculation and their role in shaping the early transcriptional response to this pathogen. We used microarrays to detail the local host transcriptional response to intradermal T. cruzi infection in WT mice and mice depleted of NK cells, or deficient in IFN-gamma or type I IFN responses. Additionally we compared the local host-transcriptional response generated to infection with 3 different strains of Trypanosoma cruzi (Y, Brazil, and G). "}
{"STANDARD_NAME":"GSE13522_CTRL_VS_T_CRUZI_Y_STRAIN_INF_SKIN_129_MOUSE_UP","SYSTEMATIC_NAME":"M2916","ORGANISM":"Mus musculus","PMID":"19201883","AUTHORS":"Chessler AD,Unnikrishnan M,Bei AK,Daily JP,Burleigh BA","GEOID":"GSE13522","EXACT_SOURCE":"GSE13522_3074_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in skin from 129S1 mice after injection of: control versus Trypanosoma cruzi (strain Y).","DESCRIPTION_FULL":"To investigate the early host response triggered by three different strains of Trypanosoma cruzi at a local infection site, changes in host gene expression were monitored in a murine intradermal infection model using Affymetrix oligonucleotide arrays. Robust induction of IFN-stimulated genes (ISGs) was observed in excised skin 24 hours post-infection where the level of ISG induction was parasite strain-dependent with the least virulent strain triggering a muted IFN response. Infection of mice immunodepleted of IFNγ-producing cells or infection of IFNγ-deficient mice had minimal impact on the IFN response generated in T. cruzi infected mice. In contrast, infection of mice lacking the type I IFN receptor demonstrated that type I IFNs are largely responsible for the IFN response generated at the site of infection. These data highlight type I IFNs as important components of the innate immune response to T. cruzi the site of inoculation and their role in shaping the early transcriptional response to this pathogen. We used microarrays to detail the local host transcriptional response to intradermal T. cruzi infection in WT mice and mice depleted of NK cells, or deficient in IFN-gamma or type I IFN responses. Additionally we compared the local host-transcriptional response generated to infection with 3 different strains of Trypanosoma cruzi (Y, Brazil, and G). "}
{"STANDARD_NAME":"GSE13522_CTRL_VS_T_CRUZI_Y_STRAIN_INF_SKIN_129_MOUSE_DN","SYSTEMATIC_NAME":"M2917","ORGANISM":"Mus musculus","PMID":"19201883","AUTHORS":"Chessler AD,Unnikrishnan M,Bei AK,Daily JP,Burleigh BA","GEOID":"GSE13522","EXACT_SOURCE":"GSE13522_3074_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in skin from 129S1 mice after injection of: control versus Trypanosoma cruzi (strain Y).","DESCRIPTION_FULL":"To investigate the early host response triggered by three different strains of Trypanosoma cruzi at a local infection site, changes in host gene expression were monitored in a murine intradermal infection model using Affymetrix oligonucleotide arrays. Robust induction of IFN-stimulated genes (ISGs) was observed in excised skin 24 hours post-infection where the level of ISG induction was parasite strain-dependent with the least virulent strain triggering a muted IFN response. Infection of mice immunodepleted of IFNγ-producing cells or infection of IFNγ-deficient mice had minimal impact on the IFN response generated in T. cruzi infected mice. In contrast, infection of mice lacking the type I IFN receptor demonstrated that type I IFNs are largely responsible for the IFN response generated at the site of infection. These data highlight type I IFNs as important components of the innate immune response to T. cruzi the site of inoculation and their role in shaping the early transcriptional response to this pathogen. We used microarrays to detail the local host transcriptional response to intradermal T. cruzi infection in WT mice and mice depleted of NK cells, or deficient in IFN-gamma or type I IFN responses. Additionally we compared the local host-transcriptional response generated to infection with 3 different strains of Trypanosoma cruzi (Y, Brazil, and G). "}
{"STANDARD_NAME":"GSE13522_WT_VS_IFNAR_KO_SKING_T_CRUZI_Y_STRAIN_INF_DN","SYSTEMATIC_NAME":"M2918","ORGANISM":"Mus musculus","PMID":"19201883","AUTHORS":"Chessler AD,Unnikrishnan M,Bei AK,Daily JP,Burleigh BA","GEOID":"GSE13522","EXACT_SOURCE":"GSE13522_3077_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in skin after injection of Trypanosoma cruzi (strain Y): wildtype (BALB/c) versus IFNAR1 [GeneID=3454] knockout.","DESCRIPTION_FULL":"To investigate the early host response triggered by three different strains of Trypanosoma cruzi at a local infection site, changes in host gene expression were monitored in a murine intradermal infection model using Affymetrix oligonucleotide arrays. Robust induction of IFN-stimulated genes (ISGs) was observed in excised skin 24 hours post-infection where the level of ISG induction was parasite strain-dependent with the least virulent strain triggering a muted IFN response. Infection of mice immunodepleted of IFNγ-producing cells or infection of IFNγ-deficient mice had minimal impact on the IFN response generated in T. cruzi infected mice. In contrast, infection of mice lacking the type I IFN receptor demonstrated that type I IFNs are largely responsible for the IFN response generated at the site of infection. These data highlight type I IFNs as important components of the innate immune response to T. cruzi the site of inoculation and their role in shaping the early transcriptional response to this pathogen. We used microarrays to detail the local host transcriptional response to intradermal T. cruzi infection in WT mice and mice depleted of NK cells, or deficient in IFN-gamma or type I IFN responses. Additionally we compared the local host-transcriptional response generated to infection with 3 different strains of Trypanosoma cruzi (Y, Brazil, and G). "}
{"STANDARD_NAME":"GSE13522_CTRL_VS_T_CRUZI_BRAZIL_STRAIN_INF_SKIN_DN","SYSTEMATIC_NAME":"M2921","ORGANISM":"Mus musculus","PMID":"19201883","AUTHORS":"Chessler AD,Unnikrishnan M,Bei AK,Daily JP,Burleigh BA","GEOID":"GSE13522","EXACT_SOURCE":"GSE13522_3069_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in skin from BALB/c mice after injection of: control versus Trypanosoma cruzi (strain Brazil).","DESCRIPTION_FULL":"To investigate the early host response triggered by three different strains of Trypanosoma cruzi at a local infection site, changes in host gene expression were monitored in a murine intradermal infection model using Affymetrix oligonucleotide arrays. Robust induction of IFN-stimulated genes (ISGs) was observed in excised skin 24 hours post-infection where the level of ISG induction was parasite strain-dependent with the least virulent strain triggering a muted IFN response. Infection of mice immunodepleted of IFNγ-producing cells or infection of IFNγ-deficient mice had minimal impact on the IFN response generated in T. cruzi infected mice. In contrast, infection of mice lacking the type I IFN receptor demonstrated that type I IFNs are largely responsible for the IFN response generated at the site of infection. These data highlight type I IFNs as important components of the innate immune response to T. cruzi the site of inoculation and their role in shaping the early transcriptional response to this pathogen. We used microarrays to detail the local host transcriptional response to intradermal T. cruzi infection in WT mice and mice depleted of NK cells, or deficient in IFN-gamma or type I IFN responses. Additionally we compared the local host-transcriptional response generated to infection with 3 different strains of Trypanosoma cruzi (Y, Brazil, and G). "}
{"STANDARD_NAME":"GSE13522_CTRL_VS_T_CRUZI_G_STRAIN_INF_SKIN_UP","SYSTEMATIC_NAME":"M2922","ORGANISM":"Mus musculus","PMID":"19201883","AUTHORS":"Chessler AD,Unnikrishnan M,Bei AK,Daily JP,Burleigh BA","GEOID":"GSE13522","EXACT_SOURCE":"GSE13522_3070_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in skin from BALB/c mice after injection of: control versus Trypanosoma cruzi (strain G).","DESCRIPTION_FULL":"To investigate the early host response triggered by three different strains of Trypanosoma cruzi at a local infection site, changes in host gene expression were monitored in a murine intradermal infection model using Affymetrix oligonucleotide arrays. Robust induction of IFN-stimulated genes (ISGs) was observed in excised skin 24 hours post-infection where the level of ISG induction was parasite strain-dependent with the least virulent strain triggering a muted IFN response. Infection of mice immunodepleted of IFNγ-producing cells or infection of IFNγ-deficient mice had minimal impact on the IFN response generated in T. cruzi infected mice. In contrast, infection of mice lacking the type I IFN receptor demonstrated that type I IFNs are largely responsible for the IFN response generated at the site of infection. These data highlight type I IFNs as important components of the innate immune response to T. cruzi the site of inoculation and their role in shaping the early transcriptional response to this pathogen. We used microarrays to detail the local host transcriptional response to intradermal T. cruzi infection in WT mice and mice depleted of NK cells, or deficient in IFN-gamma or type I IFN responses. Additionally we compared the local host-transcriptional response generated to infection with 3 different strains of Trypanosoma cruzi (Y, Brazil, and G). "}
{"STANDARD_NAME":"GSE13522_WT_VS_IFNAR_KO_SKIN_DN","SYSTEMATIC_NAME":"M2925","ORGANISM":"Mus musculus","PMID":"19201883","AUTHORS":"Chessler AD,Unnikrishnan M,Bei AK,Daily JP,Burleigh BA","GEOID":"GSE13522","EXACT_SOURCE":"GSE13522_3076_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in skin: wildtype (BALB/c) versus IFNAR1 [GeneID=3454] knockout.","DESCRIPTION_FULL":"To investigate the early host response triggered by three different strains of Trypanosoma cruzi at a local infection site, changes in host gene expression were monitored in a murine intradermal infection model using Affymetrix oligonucleotide arrays. Robust induction of IFN-stimulated genes (ISGs) was observed in excised skin 24 hours post-infection where the level of ISG induction was parasite strain-dependent with the least virulent strain triggering a muted IFN response. Infection of mice immunodepleted of IFNγ-producing cells or infection of IFNγ-deficient mice had minimal impact on the IFN response generated in T. cruzi infected mice. In contrast, infection of mice lacking the type I IFN receptor demonstrated that type I IFNs are largely responsible for the IFN response generated at the site of infection. These data highlight type I IFNs as important components of the innate immune response to T. cruzi the site of inoculation and their role in shaping the early transcriptional response to this pathogen. We used microarrays to detail the local host transcriptional response to intradermal T. cruzi infection in WT mice and mice depleted of NK cells, or deficient in IFN-gamma or type I IFN responses. Additionally we compared the local host-transcriptional response generated to infection with 3 different strains of Trypanosoma cruzi (Y, Brazil, and G). "}
{"STANDARD_NAME":"GSE13522_CTRL_VS_T_CRUZI_Y_STRAIN_INF_SKIN_BALBC_MOUSE_DN","SYSTEMATIC_NAME":"M2928","ORGANISM":"Mus musculus","PMID":"19201883","AUTHORS":"Chessler AD,Unnikrishnan M,Bei AK,Daily JP,Burleigh BA","GEOID":"GSE13522","EXACT_SOURCE":"GSE13522_3068_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in skin from BALB/c mice after injection of: control versus Trypanosoma cruzi (strain Y).","DESCRIPTION_FULL":"To investigate the early host response triggered by three different strains of Trypanosoma cruzi at a local infection site, changes in host gene expression were monitored in a murine intradermal infection model using Affymetrix oligonucleotide arrays. Robust induction of IFN-stimulated genes (ISGs) was observed in excised skin 24 hours post-infection where the level of ISG induction was parasite strain-dependent with the least virulent strain triggering a muted IFN response. Infection of mice immunodepleted of IFNγ-producing cells or infection of IFNγ-deficient mice had minimal impact on the IFN response generated in T. cruzi infected mice. In contrast, infection of mice lacking the type I IFN receptor demonstrated that type I IFNs are largely responsible for the IFN response generated at the site of infection. These data highlight type I IFNs as important components of the innate immune response to T. cruzi the site of inoculation and their role in shaping the early transcriptional response to this pathogen. We used microarrays to detail the local host transcriptional response to intradermal T. cruzi infection in WT mice and mice depleted of NK cells, or deficient in IFN-gamma or type I IFN responses. Additionally we compared the local host-transcriptional response generated to infection with 3 different strains of Trypanosoma cruzi (Y, Brazil, and G). "}
{"STANDARD_NAME":"GSE13522_CTRL_VS_T_CRUZI_Y_STRAIN_INF_SKIN_IFNAR_KO_UP","SYSTEMATIC_NAME":"M2929","ORGANISM":"Mus musculus","PMID":"19201883","AUTHORS":"Chessler AD,Unnikrishnan M,Bei AK,Daily JP,Burleigh BA","GEOID":"GSE13522","EXACT_SOURCE":"GSE13522_3075_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in skin after injection of Trypanosoma cruzi (strain Y): wildtype (129S1) versus IFNAR1 [GeneID=3454] knockout.","DESCRIPTION_FULL":"To investigate the early host response triggered by three different strains of Trypanosoma cruzi at a local infection site, changes in host gene expression were monitored in a murine intradermal infection model using Affymetrix oligonucleotide arrays. Robust induction of IFN-stimulated genes (ISGs) was observed in excised skin 24 hours post-infection where the level of ISG induction was parasite strain-dependent with the least virulent strain triggering a muted IFN response. Infection of mice immunodepleted of IFNγ-producing cells or infection of IFNγ-deficient mice had minimal impact on the IFN response generated in T. cruzi infected mice. In contrast, infection of mice lacking the type I IFN receptor demonstrated that type I IFNs are largely responsible for the IFN response generated at the site of infection. These data highlight type I IFNs as important components of the innate immune response to T. cruzi the site of inoculation and their role in shaping the early transcriptional response to this pathogen. We used microarrays to detail the local host transcriptional response to intradermal T. cruzi infection in WT mice and mice depleted of NK cells, or deficient in IFN-gamma or type I IFN responses. Additionally we compared the local host-transcriptional response generated to infection with 3 different strains of Trypanosoma cruzi (Y, Brazil, and G). "}
{"STANDARD_NAME":"GSE13522_CTRL_VS_T_CRUZI_Y_STRAIN_INF_SKIN_IFNAR_KO_DN","SYSTEMATIC_NAME":"M2930","ORGANISM":"Mus musculus","PMID":"19201883","AUTHORS":"Chessler AD,Unnikrishnan M,Bei AK,Daily JP,Burleigh BA","GEOID":"GSE13522","EXACT_SOURCE":"GSE13522_3075_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in skin after injection of Trypanosoma cruzi (strain Y): wildtype (129S1) versus IFNAR1 [GeneID=3454] knockout.","DESCRIPTION_FULL":"To investigate the early host response triggered by three different strains of Trypanosoma cruzi at a local infection site, changes in host gene expression were monitored in a murine intradermal infection model using Affymetrix oligonucleotide arrays. Robust induction of IFN-stimulated genes (ISGs) was observed in excised skin 24 hours post-infection where the level of ISG induction was parasite strain-dependent with the least virulent strain triggering a muted IFN response. Infection of mice immunodepleted of IFNγ-producing cells or infection of IFNγ-deficient mice had minimal impact on the IFN response generated in T. cruzi infected mice. In contrast, infection of mice lacking the type I IFN receptor demonstrated that type I IFNs are largely responsible for the IFN response generated at the site of infection. These data highlight type I IFNs as important components of the innate immune response to T. cruzi the site of inoculation and their role in shaping the early transcriptional response to this pathogen. We used microarrays to detail the local host transcriptional response to intradermal T. cruzi infection in WT mice and mice depleted of NK cells, or deficient in IFN-gamma or type I IFN responses. Additionally we compared the local host-transcriptional response generated to infection with 3 different strains of Trypanosoma cruzi (Y, Brazil, and G). "}
{"STANDARD_NAME":"GSE13522_WT_VS_IFNAR_KO_SKIN_UP","SYSTEMATIC_NAME":"M2932","ORGANISM":"Mus musculus","PMID":"19201883","AUTHORS":"Chessler AD,Unnikrishnan M,Bei AK,Daily JP,Burleigh BA","GEOID":"GSE13522","EXACT_SOURCE":"GSE13522_3076_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in skin: wildtype (BALB/c) versus IFNAR1 [GeneID=3454] knockout.","DESCRIPTION_FULL":"To investigate the early host response triggered by three different strains of Trypanosoma cruzi at a local infection site, changes in host gene expression were monitored in a murine intradermal infection model using Affymetrix oligonucleotide arrays. Robust induction of IFN-stimulated genes (ISGs) was observed in excised skin 24 hours post-infection where the level of ISG induction was parasite strain-dependent with the least virulent strain triggering a muted IFN response. Infection of mice immunodepleted of IFNγ-producing cells or infection of IFNγ-deficient mice had minimal impact on the IFN response generated in T. cruzi infected mice. In contrast, infection of mice lacking the type I IFN receptor demonstrated that type I IFNs are largely responsible for the IFN response generated at the site of infection. These data highlight type I IFNs as important components of the innate immune response to T. cruzi the site of inoculation and their role in shaping the early transcriptional response to this pathogen. We used microarrays to detail the local host transcriptional response to intradermal T. cruzi infection in WT mice and mice depleted of NK cells, or deficient in IFN-gamma or type I IFN responses. Additionally we compared the local host-transcriptional response generated to infection with 3 different strains of Trypanosoma cruzi (Y, Brazil, and G). "}
{"STANDARD_NAME":"GSE13522_WT_VS_IFNAR_KO_SKING_T_CRUZI_Y_STRAIN_INF_UP","SYSTEMATIC_NAME":"M2933","ORGANISM":"Mus musculus","PMID":"19201883","AUTHORS":"Chessler AD,Unnikrishnan M,Bei AK,Daily JP,Burleigh BA","GEOID":"GSE13522","EXACT_SOURCE":"GSE13522_3077_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in skin after injection of Trypanosoma cruzi (strain Y): wildtype (BALB/c) versus IFNAR1 [GeneID=3454] knockout.","DESCRIPTION_FULL":"To investigate the early host response triggered by three different strains of Trypanosoma cruzi at a local infection site, changes in host gene expression were monitored in a murine intradermal infection model using Affymetrix oligonucleotide arrays. Robust induction of IFN-stimulated genes (ISGs) was observed in excised skin 24 hours post-infection where the level of ISG induction was parasite strain-dependent with the least virulent strain triggering a muted IFN response. Infection of mice immunodepleted of IFNγ-producing cells or infection of IFNγ-deficient mice had minimal impact on the IFN response generated in T. cruzi infected mice. In contrast, infection of mice lacking the type I IFN receptor demonstrated that type I IFNs are largely responsible for the IFN response generated at the site of infection. These data highlight type I IFNs as important components of the innate immune response to T. cruzi the site of inoculation and their role in shaping the early transcriptional response to this pathogen. We used microarrays to detail the local host transcriptional response to intradermal T. cruzi infection in WT mice and mice depleted of NK cells, or deficient in IFN-gamma or type I IFN responses. Additionally we compared the local host-transcriptional response generated to infection with 3 different strains of Trypanosoma cruzi (Y, Brazil, and G). "}
{"STANDARD_NAME":"GSE14699_NAIVE_VS_ACT_CD8_TCELL_UP","SYSTEMATIC_NAME":"M2934","ORGANISM":"Mus musculus","PMID":"19204323","AUTHORS":"Parish IA,Rao S,Smyth GK,Juelich T,Denyer GS,Davey GM,Strasser A,Heath WR","GEOID":"GSE14699","EXACT_SOURCE":"GSE14699_3151_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD8 T cells: naïve versus activated.","DESCRIPTION_FULL":"Peripheral tolerance induction is critical for the maintenance of self-tolerance and can be mediated by immunoregulatory T cells or by direct induction of T cell anergy or deletion. While the molecular processes underlying anergy have been extensively studied, little is known about the molecular basis for peripheral T cell deletion. Here, we determined the gene expression signature of peripheral CD8+ T cells undergoing deletional tolerance, relative to those undergoing immunogenic priming or lymphopenia-induced proliferation. From these data, we report the first detailed molecular signature of cells undergoing deletion. Consistent with defective cytolysis, these cells exhibited deficiencies in granzyme up-regulation. Furthermore, they showed antigen-driven Bcl-2 down-regulation and early up-regulation of the pro-apoptotic protein Bim, consistent with the requirement of this BH3-only protein for peripheral T cell deletion. Bim up-regulation was paralleled by defective IL-7Ra chain re-expression, suggesting that Bim-dependent death may be triggered by loss of IL-7/IL-7R signaling. Finally, we observed parallels in molecular signatures between deletion and anergy suggesting that these tolerance pathways may not be as molecularly distinct as previously surmised."}
{"STANDARD_NAME":"GSE14699_NAIVE_VS_DELETIONAL_TOLERANCE_CD8_TCELL_DN","SYSTEMATIC_NAME":"M2936","ORGANISM":"Mus musculus","PMID":"19204323","AUTHORS":"Parish IA,Rao S,Smyth GK,Juelich T,Denyer GS,Davey GM,Strasser A,Heath WR","GEOID":"GSE14699","EXACT_SOURCE":"GSE14699_3150_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD8 T cells: naïve versus undergoing deletional tolerance.","DESCRIPTION_FULL":"Peripheral tolerance induction is critical for the maintenance of self-tolerance and can be mediated by immunoregulatory T cells or by direct induction of T cell anergy or deletion. While the molecular processes underlying anergy have been extensively studied, little is known about the molecular basis for peripheral T cell deletion. Here, we determined the gene expression signature of peripheral CD8+ T cells undergoing deletional tolerance, relative to those undergoing immunogenic priming or lymphopenia-induced proliferation. From these data, we report the first detailed molecular signature of cells undergoing deletion. Consistent with defective cytolysis, these cells exhibited deficiencies in granzyme up-regulation. Furthermore, they showed antigen-driven Bcl-2 down-regulation and early up-regulation of the pro-apoptotic protein Bim, consistent with the requirement of this BH3-only protein for peripheral T cell deletion. Bim up-regulation was paralleled by defective IL-7Ra chain re-expression, suggesting that Bim-dependent death may be triggered by loss of IL-7/IL-7R signaling. Finally, we observed parallels in molecular signatures between deletion and anergy suggesting that these tolerance pathways may not be as molecularly distinct as previously surmised."}
{"STANDARD_NAME":"GSE14699_NAIVE_VS_DELETIONAL_TOLERANCE_CD8_TCELL_UP","SYSTEMATIC_NAME":"M2938","ORGANISM":"Mus musculus","PMID":"19204323","AUTHORS":"Parish IA,Rao S,Smyth GK,Juelich T,Denyer GS,Davey GM,Strasser A,Heath WR","GEOID":"GSE14699","EXACT_SOURCE":"GSE14699_3150_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD8 T cells: naïve versus undergoing deletional tolerance.","DESCRIPTION_FULL":"Peripheral tolerance induction is critical for the maintenance of self-tolerance and can be mediated by immunoregulatory T cells or by direct induction of T cell anergy or deletion. While the molecular processes underlying anergy have been extensively studied, little is known about the molecular basis for peripheral T cell deletion. Here, we determined the gene expression signature of peripheral CD8+ T cells undergoing deletional tolerance, relative to those undergoing immunogenic priming or lymphopenia-induced proliferation. From these data, we report the first detailed molecular signature of cells undergoing deletion. Consistent with defective cytolysis, these cells exhibited deficiencies in granzyme up-regulation. Furthermore, they showed antigen-driven Bcl-2 down-regulation and early up-regulation of the pro-apoptotic protein Bim, consistent with the requirement of this BH3-only protein for peripheral T cell deletion. Bim up-regulation was paralleled by defective IL-7Ra chain re-expression, suggesting that Bim-dependent death may be triggered by loss of IL-7/IL-7R signaling. Finally, we observed parallels in molecular signatures between deletion and anergy suggesting that these tolerance pathways may not be as molecularly distinct as previously surmised."}
{"STANDARD_NAME":"GSE14699_DELETIONAL_TOLERANCE_VS_ACTIVATED_CD8_TCELL_DN","SYSTEMATIC_NAME":"M2939","ORGANISM":"Mus musculus","PMID":"19204323","AUTHORS":"Parish IA,Rao S,Smyth GK,Juelich T,Denyer GS,Davey GM,Strasser A,Heath WR","GEOID":"GSE14699","EXACT_SOURCE":"GSE14699_3152_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD8 T cells: undergoing deletional tolerance versus activated.","DESCRIPTION_FULL":"Peripheral tolerance induction is critical for the maintenance of self-tolerance and can be mediated by immunoregulatory T cells or by direct induction of T cell anergy or deletion. While the molecular processes underlying anergy have been extensively studied, little is known about the molecular basis for peripheral T cell deletion. Here, we determined the gene expression signature of peripheral CD8+ T cells undergoing deletional tolerance, relative to those undergoing immunogenic priming or lymphopenia-induced proliferation. From these data, we report the first detailed molecular signature of cells undergoing deletion. Consistent with defective cytolysis, these cells exhibited deficiencies in granzyme up-regulation. Furthermore, they showed antigen-driven Bcl-2 down-regulation and early up-regulation of the pro-apoptotic protein Bim, consistent with the requirement of this BH3-only protein for peripheral T cell deletion. Bim up-regulation was paralleled by defective IL-7Ra chain re-expression, suggesting that Bim-dependent death may be triggered by loss of IL-7/IL-7R signaling. Finally, we observed parallels in molecular signatures between deletion and anergy suggesting that these tolerance pathways may not be as molecularly distinct as previously surmised."}
{"STANDARD_NAME":"GSE14699_NAIVE_VS_ACT_CD8_TCELL_DN","SYSTEMATIC_NAME":"M2940","ORGANISM":"Mus musculus","PMID":"19204323","AUTHORS":"Parish IA,Rao S,Smyth GK,Juelich T,Denyer GS,Davey GM,Strasser A,Heath WR","GEOID":"GSE14699","EXACT_SOURCE":"GSE14699_3151_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD8 T cells: naïve versus activated.","DESCRIPTION_FULL":"Peripheral tolerance induction is critical for the maintenance of self-tolerance and can be mediated by immunoregulatory T cells or by direct induction of T cell anergy or deletion. While the molecular processes underlying anergy have been extensively studied, little is known about the molecular basis for peripheral T cell deletion. Here, we determined the gene expression signature of peripheral CD8+ T cells undergoing deletional tolerance, relative to those undergoing immunogenic priming or lymphopenia-induced proliferation. From these data, we report the first detailed molecular signature of cells undergoing deletion. Consistent with defective cytolysis, these cells exhibited deficiencies in granzyme up-regulation. Furthermore, they showed antigen-driven Bcl-2 down-regulation and early up-regulation of the pro-apoptotic protein Bim, consistent with the requirement of this BH3-only protein for peripheral T cell deletion. Bim up-regulation was paralleled by defective IL-7Ra chain re-expression, suggesting that Bim-dependent death may be triggered by loss of IL-7/IL-7R signaling. Finally, we observed parallels in molecular signatures between deletion and anergy suggesting that these tolerance pathways may not be as molecularly distinct as previously surmised."}
{"STANDARD_NAME":"GSE14699_DELETIONAL_TOLERANCE_VS_ACTIVATED_CD8_TCELL_UP","SYSTEMATIC_NAME":"M2941","ORGANISM":"Mus musculus","PMID":"19204323","AUTHORS":"Parish IA,Rao S,Smyth GK,Juelich T,Denyer GS,Davey GM,Strasser A,Heath WR","GEOID":"GSE14699","EXACT_SOURCE":"GSE14699_3152_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD8 T cells: undergoing deletional tolerance versus activated.","DESCRIPTION_FULL":"Peripheral tolerance induction is critical for the maintenance of self-tolerance and can be mediated by immunoregulatory T cells or by direct induction of T cell anergy or deletion. While the molecular processes underlying anergy have been extensively studied, little is known about the molecular basis for peripheral T cell deletion. Here, we determined the gene expression signature of peripheral CD8+ T cells undergoing deletional tolerance, relative to those undergoing immunogenic priming or lymphopenia-induced proliferation. From these data, we report the first detailed molecular signature of cells undergoing deletion. Consistent with defective cytolysis, these cells exhibited deficiencies in granzyme up-regulation. Furthermore, they showed antigen-driven Bcl-2 down-regulation and early up-regulation of the pro-apoptotic protein Bim, consistent with the requirement of this BH3-only protein for peripheral T cell deletion. Bim up-regulation was paralleled by defective IL-7Ra chain re-expression, suggesting that Bim-dependent death may be triggered by loss of IL-7/IL-7R signaling. Finally, we observed parallels in molecular signatures between deletion and anergy suggesting that these tolerance pathways may not be as molecularly distinct as previously surmised."}
{"STANDARD_NAME":"GSE13946_CTRL_VS_DSS_COLITIS_GD_TCELL_FROM_COLON_DN","SYSTEMATIC_NAME":"M2942","ORGANISM":"Mus musculus","PMID":"19234201","AUTHORS":"Ismail AS,Behrendt CL,Hooper LV","GEOID":"GSE13946","EXACT_SOURCE":"GSE13946_3828_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in gamma delta intraepithelial lymphocytes from colon: control versus colitis induced by dextran sulfate sodium (DSS).","DESCRIPTION_FULL":"gamma delta intraepithelial lymphocytes were isolated from the colons of DSS-treated and untreated mice. Total RNAs were isolated and compared by Affymetrix DNA microarray."}
{"STANDARD_NAME":"GSE13946_CTRL_VS_DSS_COLITIS_GD_TCELL_FROM_COLON_UP","SYSTEMATIC_NAME":"M2943","ORGANISM":"Mus musculus","PMID":"19234201","AUTHORS":"Ismail AS,Behrendt CL,Hooper LV","GEOID":"GSE13946","EXACT_SOURCE":"GSE13946_3828_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in gamma delta intraepithelial lymphocytes from colon: control versus colitis induced by dextran sulfate sodium (DSS).","DESCRIPTION_FULL":"gamma delta intraepithelial lymphocytes were isolated from the colons of DSS-treated and untreated mice. Total RNAs were isolated and compared by Affymetrix DNA microarray."}
{"STANDARD_NAME":"GSE14415_ACT_TCONV_VS_ACT_NATURAL_TREG_UP","SYSTEMATIC_NAME":"M2945","ORGANISM":"Mus musculus","PMID":"19265124","AUTHORS":"Haribhai D,Lin W,Edwards B,Ziegelbauer J,Salzman NH,Carlson MR,Li SH,Simpson PM,Chatila TA,Williams CB","GEOID":"GSE14415","EXACT_SOURCE":"GSE14415_2981_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in activated T lymphocytes: T conv versus natural T reg.","DESCRIPTION_FULL":"The gene expression profile of peripheral Foxp3+ natural regulatory T cells isolated from Foxp3/EGFP bicistronic mice was compared to that of in vitro-induced regulatory T cells and to CD4+ conventional (Foxp3-) T cells. The role of the regulatory T cell transcription factor Foxp3 in shaping the transcriptosomes of natural and induced regulatory T cells was analyzed using mice expressing a mutant FOXP3-EGFP fusion protein (Foxp3deltaEGFP). We used gene expression microarrays to examine the transcriptional programs of natural and induced regulatory T cells and the function of Foxp3 in organizing the transcriptosomes of the respective cell type "}
{"STANDARD_NAME":"GSE14415_INDUCED_TREG_VS_FOXP3_KO_INDUCED_TREG_DN","SYSTEMATIC_NAME":"M2946","ORGANISM":"Mus musculus","PMID":"19265124","AUTHORS":"Haribhai D,Lin W,Edwards B,Ziegelbauer J,Salzman NH,Carlson MR,Li SH,Simpson PM,Chatila TA,Williams CB","GEOID":"GSE14415","EXACT_SOURCE":"GSE14415_2980_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in induced T reg: wildtype versus non-functional FOXP3 [GeneID=50943].","DESCRIPTION_FULL":"The gene expression profile of peripheral Foxp3+ natural regulatory T cells isolated from Foxp3/EGFP bicistronic mice was compared to that of in vitro-induced regulatory T cells and to CD4+ conventional (Foxp3-) T cells. The role of the regulatory T cell transcription factor Foxp3 in shaping the transcriptosomes of natural and induced regulatory T cells was analyzed using mice expressing a mutant FOXP3-EGFP fusion protein (Foxp3deltaEGFP). We used gene expression microarrays to examine the transcriptional programs of natural and induced regulatory T cells and the function of Foxp3 in organizing the transcriptosomes of the respective cell type "}
{"STANDARD_NAME":"GSE14415_FOXP3_KO_NATURAL_TREG_VS_TCONV_UP","SYSTEMATIC_NAME":"M2947","ORGANISM":"Mus musculus","PMID":"19265124","AUTHORS":"Haribhai D,Lin W,Edwards B,Ziegelbauer J,Salzman NH,Carlson MR,Li SH,Simpson PM,Chatila TA,Williams CB","GEOID":"GSE14415","EXACT_SOURCE":"GSE14415_2986_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in natural T reg with non-functional FOXP3 [GeneID=50943] versus T conv.","DESCRIPTION_FULL":"The gene expression profile of peripheral Foxp3+ natural regulatory T cells isolated from Foxp3/EGFP bicistronic mice was compared to that of in vitro-induced regulatory T cells and to CD4+ conventional (Foxp3-) T cells. The role of the regulatory T cell transcription factor Foxp3 in shaping the transcriptosomes of natural and induced regulatory T cells was analyzed using mice expressing a mutant FOXP3-EGFP fusion protein (Foxp3deltaEGFP). We used gene expression microarrays to examine the transcriptional programs of natural and induced regulatory T cells and the function of Foxp3 in organizing the transcriptosomes of the respective cell type "}
{"STANDARD_NAME":"GSE14415_ACT_TCONV_VS_ACT_NATURAL_TREG_DN","SYSTEMATIC_NAME":"M2950","ORGANISM":"Mus musculus","PMID":"19265124","AUTHORS":"Haribhai D,Lin W,Edwards B,Ziegelbauer J,Salzman NH,Carlson MR,Li SH,Simpson PM,Chatila TA,Williams CB","GEOID":"GSE14415","EXACT_SOURCE":"GSE14415_2981_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in activated T lymphocytes: T conv versus natural T reg.","DESCRIPTION_FULL":"The gene expression profile of peripheral Foxp3+ natural regulatory T cells isolated from Foxp3/EGFP bicistronic mice was compared to that of in vitro-induced regulatory T cells and to CD4+ conventional (Foxp3-) T cells. The role of the regulatory T cell transcription factor Foxp3 in shaping the transcriptosomes of natural and induced regulatory T cells was analyzed using mice expressing a mutant FOXP3-EGFP fusion protein (Foxp3deltaEGFP). We used gene expression microarrays to examine the transcriptional programs of natural and induced regulatory T cells and the function of Foxp3 in organizing the transcriptosomes of the respective cell type "}
{"STANDARD_NAME":"GSE14415_INDUCED_TREG_VS_FOXP3_KO_INDUCED_TREG_UP","SYSTEMATIC_NAME":"M2951","ORGANISM":"Mus musculus","PMID":"19265124","AUTHORS":"Haribhai D,Lin W,Edwards B,Ziegelbauer J,Salzman NH,Carlson MR,Li SH,Simpson PM,Chatila TA,Williams CB","GEOID":"GSE14415","EXACT_SOURCE":"GSE14415_2980_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in induced T reg: wildtype versus non-functional FOXP3 [GeneID=50943].","DESCRIPTION_FULL":"The gene expression profile of peripheral Foxp3+ natural regulatory T cells isolated from Foxp3/EGFP bicistronic mice was compared to that of in vitro-induced regulatory T cells and to CD4+ conventional (Foxp3-) T cells. The role of the regulatory T cell transcription factor Foxp3 in shaping the transcriptosomes of natural and induced regulatory T cells was analyzed using mice expressing a mutant FOXP3-EGFP fusion protein (Foxp3deltaEGFP). We used gene expression microarrays to examine the transcriptional programs of natural and induced regulatory T cells and the function of Foxp3 in organizing the transcriptosomes of the respective cell type "}
{"STANDARD_NAME":"GSE14415_INDUCED_TREG_VS_FAILED_INDUCED_TREG_DN","SYSTEMATIC_NAME":"M2952","ORGANISM":"Mus musculus","PMID":"19265124","AUTHORS":"Haribhai D,Lin W,Edwards B,Ziegelbauer J,Salzman NH,Carlson MR,Li SH,Simpson PM,Chatila TA,Williams CB","GEOID":"GSE14415","EXACT_SOURCE":"GSE14415_2979_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in T reg: induced versus failed induced.","DESCRIPTION_FULL":"The gene expression profile of peripheral Foxp3+ natural regulatory T cells isolated from Foxp3/EGFP bicistronic mice was compared to that of in vitro-induced regulatory T cells and to CD4+ conventional (Foxp3-) T cells. The role of the regulatory T cell transcription factor Foxp3 in shaping the transcriptosomes of natural and induced regulatory T cells was analyzed using mice expressing a mutant FOXP3-EGFP fusion protein (Foxp3deltaEGFP). We used gene expression microarrays to examine the transcriptional programs of natural and induced regulatory T cells and the function of Foxp3 in organizing the transcriptosomes of the respective cell type "}
{"STANDARD_NAME":"GSE14415_FOXP3_KO_NATURAL_TREG_VS_TCONV_DN","SYSTEMATIC_NAME":"M2953","ORGANISM":"Mus musculus","PMID":"19265124","AUTHORS":"Haribhai D,Lin W,Edwards B,Ziegelbauer J,Salzman NH,Carlson MR,Li SH,Simpson PM,Chatila TA,Williams CB","GEOID":"GSE14415","EXACT_SOURCE":"GSE14415_2986_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in natural T reg with non-functional FOXP3 [GeneID=50943] versus T conv.","DESCRIPTION_FULL":"The gene expression profile of peripheral Foxp3+ natural regulatory T cells isolated from Foxp3/EGFP bicistronic mice was compared to that of in vitro-induced regulatory T cells and to CD4+ conventional (Foxp3-) T cells. The role of the regulatory T cell transcription factor Foxp3 in shaping the transcriptosomes of natural and induced regulatory T cells was analyzed using mice expressing a mutant FOXP3-EGFP fusion protein (Foxp3deltaEGFP). We used gene expression microarrays to examine the transcriptional programs of natural and induced regulatory T cells and the function of Foxp3 in organizing the transcriptosomes of the respective cell type "}
{"STANDARD_NAME":"GSE14415_INDUCED_TREG_VS_FOXP3_KO_INDUCED_TREG_IL2_CULTURE_UP","SYSTEMATIC_NAME":"M2954","ORGANISM":"Mus musculus","PMID":"19265124","AUTHORS":"Haribhai D,Lin W,Edwards B,Ziegelbauer J,Salzman NH,Carlson MR,Li SH,Simpson PM,Chatila TA,Williams CB","GEOID":"GSE14415","EXACT_SOURCE":"GSE14415_2987_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in induced T reg cultured with IL2 [GeneID=3558]: wildtype versus non-functional FOXP3 [GeneID=50943].","DESCRIPTION_FULL":"The gene expression profile of peripheral Foxp3+ natural regulatory T cells isolated from Foxp3/EGFP bicistronic mice was compared to that of in vitro-induced regulatory T cells and to CD4+ conventional (Foxp3-) T cells. The role of the regulatory T cell transcription factor Foxp3 in shaping the transcriptosomes of natural and induced regulatory T cells was analyzed using mice expressing a mutant FOXP3-EGFP fusion protein (Foxp3deltaEGFP). We used gene expression microarrays to examine the transcriptional programs of natural and induced regulatory T cells and the function of Foxp3 in organizing the transcriptosomes of the respective cell type "}
{"STANDARD_NAME":"GSE14415_INDUCED_TREG_VS_FAILED_INDUCED_TREG_UP","SYSTEMATIC_NAME":"M2955","ORGANISM":"Mus musculus","PMID":"19265124","AUTHORS":"Haribhai D,Lin W,Edwards B,Ziegelbauer J,Salzman NH,Carlson MR,Li SH,Simpson PM,Chatila TA,Williams CB","GEOID":"GSE14415","EXACT_SOURCE":"GSE14415_2979_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in T reg: induced versus failed induced.","DESCRIPTION_FULL":"The gene expression profile of peripheral Foxp3+ natural regulatory T cells isolated from Foxp3/EGFP bicistronic mice was compared to that of in vitro-induced regulatory T cells and to CD4+ conventional (Foxp3-) T cells. The role of the regulatory T cell transcription factor Foxp3 in shaping the transcriptosomes of natural and induced regulatory T cells was analyzed using mice expressing a mutant FOXP3-EGFP fusion protein (Foxp3deltaEGFP). We used gene expression microarrays to examine the transcriptional programs of natural and induced regulatory T cells and the function of Foxp3 in organizing the transcriptosomes of the respective cell type "}
{"STANDARD_NAME":"GSE14415_INDUCED_TREG_VS_FOXP3_KO_INDUCED_TREG_IL2_CULTURE_DN","SYSTEMATIC_NAME":"M2956","ORGANISM":"Mus musculus","PMID":"19265124","AUTHORS":"Haribhai D,Lin W,Edwards B,Ziegelbauer J,Salzman NH,Carlson MR,Li SH,Simpson PM,Chatila TA,Williams CB","GEOID":"GSE14415","EXACT_SOURCE":"GSE14415_2987_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in induced T reg cultured with IL2 [GeneID=3558]: wildtype versus non-functional FOXP3 [GeneID=50943].","DESCRIPTION_FULL":"The gene expression profile of peripheral Foxp3+ natural regulatory T cells isolated from Foxp3/EGFP bicistronic mice was compared to that of in vitro-induced regulatory T cells and to CD4+ conventional (Foxp3-) T cells. The role of the regulatory T cell transcription factor Foxp3 in shaping the transcriptosomes of natural and induced regulatory T cells was analyzed using mice expressing a mutant FOXP3-EGFP fusion protein (Foxp3deltaEGFP). We used gene expression microarrays to examine the transcriptional programs of natural and induced regulatory T cells and the function of Foxp3 in organizing the transcriptosomes of the respective cell type "}
{"STANDARD_NAME":"GSE14415_INDUCED_TREG_VS_TCONV_UP","SYSTEMATIC_NAME":"M2959","ORGANISM":"Mus musculus","PMID":"19265124","AUTHORS":"Haribhai D,Lin W,Edwards B,Ziegelbauer J,Salzman NH,Carlson MR,Li SH,Simpson PM,Chatila TA,Williams CB","GEOID":"GSE14415","EXACT_SOURCE":"GSE14415_2985_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in induced T reg versus T conv.","DESCRIPTION_FULL":"The gene expression profile of peripheral Foxp3+ natural regulatory T cells isolated from Foxp3/EGFP bicistronic mice was compared to that of in vitro-induced regulatory T cells and to CD4+ conventional (Foxp3-) T cells. The role of the regulatory T cell transcription factor Foxp3 in shaping the transcriptosomes of natural and induced regulatory T cells was analyzed using mice expressing a mutant FOXP3-EGFP fusion protein (Foxp3deltaEGFP). We used gene expression microarrays to examine the transcriptional programs of natural and induced regulatory T cells and the function of Foxp3 in organizing the transcriptosomes of the respective cell type "}
{"STANDARD_NAME":"GSE14415_INDUCED_TREG_VS_TCONV_DN","SYSTEMATIC_NAME":"M2960","ORGANISM":"Mus musculus","PMID":"19265124","AUTHORS":"Haribhai D,Lin W,Edwards B,Ziegelbauer J,Salzman NH,Carlson MR,Li SH,Simpson PM,Chatila TA,Williams CB","GEOID":"GSE14415","EXACT_SOURCE":"GSE14415_2985_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in induced T reg versus T conv.","DESCRIPTION_FULL":"The gene expression profile of peripheral Foxp3+ natural regulatory T cells isolated from Foxp3/EGFP bicistronic mice was compared to that of in vitro-induced regulatory T cells and to CD4+ conventional (Foxp3-) T cells. The role of the regulatory T cell transcription factor Foxp3 in shaping the transcriptosomes of natural and induced regulatory T cells was analyzed using mice expressing a mutant FOXP3-EGFP fusion protein (Foxp3deltaEGFP). We used gene expression microarrays to examine the transcriptional programs of natural and induced regulatory T cells and the function of Foxp3 in organizing the transcriptosomes of the respective cell type "}
{"STANDARD_NAME":"GSE14415_NATURAL_TREG_VS_TCONV_DN","SYSTEMATIC_NAME":"M2961","ORGANISM":"Mus musculus","PMID":"19265124","AUTHORS":"Haribhai D,Lin W,Edwards B,Ziegelbauer J,Salzman NH,Carlson MR,Li SH,Simpson PM,Chatila TA,Williams CB","GEOID":"GSE14415","EXACT_SOURCE":"GSE14415_2983_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in natural T reg versus T conv.","DESCRIPTION_FULL":"The gene expression profile of peripheral Foxp3+ natural regulatory T cells isolated from Foxp3/EGFP bicistronic mice was compared to that of in vitro-induced regulatory T cells and to CD4+ conventional (Foxp3-) T cells. The role of the regulatory T cell transcription factor Foxp3 in shaping the transcriptosomes of natural and induced regulatory T cells was analyzed using mice expressing a mutant FOXP3-EGFP fusion protein (Foxp3deltaEGFP). We used gene expression microarrays to examine the transcriptional programs of natural and induced regulatory T cells and the function of Foxp3 in organizing the transcriptosomes of the respective cell type "}
{"STANDARD_NAME":"GSE14415_ACT_VS_CTRL_NATURAL_TREG_DN","SYSTEMATIC_NAME":"M2962","ORGANISM":"Mus musculus","PMID":"19265124","AUTHORS":"Haribhai D,Lin W,Edwards B,Ziegelbauer J,Salzman NH,Carlson MR,Li SH,Simpson PM,Chatila TA,Williams CB","GEOID":"GSE14415","EXACT_SOURCE":"GSE14415_2989_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in natural T reg: activated versus naïve.","DESCRIPTION_FULL":"The gene expression profile of peripheral Foxp3+ natural regulatory T cells isolated from Foxp3/EGFP bicistronic mice was compared to that of in vitro-induced regulatory T cells and to CD4+ conventional (Foxp3-) T cells. The role of the regulatory T cell transcription factor Foxp3 in shaping the transcriptosomes of natural and induced regulatory T cells was analyzed using mice expressing a mutant FOXP3-EGFP fusion protein (Foxp3deltaEGFP). We used gene expression microarrays to examine the transcriptional programs of natural and induced regulatory T cells and the function of Foxp3 in organizing the transcriptosomes of the respective cell type "}
{"STANDARD_NAME":"GSE14415_TCONV_VS_FOXP3_KO_INDUCED_TREG_UP","SYSTEMATIC_NAME":"M2963","ORGANISM":"Mus musculus","PMID":"19265124","AUTHORS":"Haribhai D,Lin W,Edwards B,Ziegelbauer J,Salzman NH,Carlson MR,Li SH,Simpson PM,Chatila TA,Williams CB","GEOID":"GSE14415","EXACT_SOURCE":"GSE14415_2988_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in T conv versus induced T reg with non-functional FOXP3 [GeneID=50943].","DESCRIPTION_FULL":"The gene expression profile of peripheral Foxp3+ natural regulatory T cells isolated from Foxp3/EGFP bicistronic mice was compared to that of in vitro-induced regulatory T cells and to CD4+ conventional (Foxp3-) T cells. The role of the regulatory T cell transcription factor Foxp3 in shaping the transcriptosomes of natural and induced regulatory T cells was analyzed using mice expressing a mutant FOXP3-EGFP fusion protein (Foxp3deltaEGFP). We used gene expression microarrays to examine the transcriptional programs of natural and induced regulatory T cells and the function of Foxp3 in organizing the transcriptosomes of the respective cell type "}
{"STANDARD_NAME":"GSE14415_NATURAL_TREG_VS_FOXP3_KO_NATURAL_TREG_UP","SYSTEMATIC_NAME":"M2964","ORGANISM":"Mus musculus","PMID":"19265124","AUTHORS":"Haribhai D,Lin W,Edwards B,Ziegelbauer J,Salzman NH,Carlson MR,Li SH,Simpson PM,Chatila TA,Williams CB","GEOID":"GSE14415","EXACT_SOURCE":"GSE14415_2982_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in natural T reg: wildtype versus non-functional FOXP3 [GeneID=50943].","DESCRIPTION_FULL":"The gene expression profile of peripheral Foxp3+ natural regulatory T cells isolated from Foxp3/EGFP bicistronic mice was compared to that of in vitro-induced regulatory T cells and to CD4+ conventional (Foxp3-) T cells. The role of the regulatory T cell transcription factor Foxp3 in shaping the transcriptosomes of natural and induced regulatory T cells was analyzed using mice expressing a mutant FOXP3-EGFP fusion protein (Foxp3deltaEGFP). We used gene expression microarrays to examine the transcriptional programs of natural and induced regulatory T cells and the function of Foxp3 in organizing the transcriptosomes of the respective cell type "}
{"STANDARD_NAME":"GSE14415_TCONV_VS_FOXP3_KO_INDUCED_TREG_DN","SYSTEMATIC_NAME":"M2965","ORGANISM":"Mus musculus","PMID":"19265124","AUTHORS":"Haribhai D,Lin W,Edwards B,Ziegelbauer J,Salzman NH,Carlson MR,Li SH,Simpson PM,Chatila TA,Williams CB","GEOID":"GSE14415","EXACT_SOURCE":"GSE14415_2988_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in T conv versus induced T reg with non-functional FOXP3 [GeneID=50943].","DESCRIPTION_FULL":"The gene expression profile of peripheral Foxp3+ natural regulatory T cells isolated from Foxp3/EGFP bicistronic mice was compared to that of in vitro-induced regulatory T cells and to CD4+ conventional (Foxp3-) T cells. The role of the regulatory T cell transcription factor Foxp3 in shaping the transcriptosomes of natural and induced regulatory T cells was analyzed using mice expressing a mutant FOXP3-EGFP fusion protein (Foxp3deltaEGFP). We used gene expression microarrays to examine the transcriptional programs of natural and induced regulatory T cells and the function of Foxp3 in organizing the transcriptosomes of the respective cell type "}
{"STANDARD_NAME":"GSE14415_INDUCED_VS_NATURAL_TREG_UP","SYSTEMATIC_NAME":"M2968","ORGANISM":"Mus musculus","PMID":"19265124","AUTHORS":"Haribhai D,Lin W,Edwards B,Ziegelbauer J,Salzman NH,Carlson MR,Li SH,Simpson PM,Chatila TA,Williams CB","GEOID":"GSE14415","EXACT_SOURCE":"GSE14415_2984_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in T reg: induced versus natural.","DESCRIPTION_FULL":"The gene expression profile of peripheral Foxp3+ natural regulatory T cells isolated from Foxp3/EGFP bicistronic mice was compared to that of in vitro-induced regulatory T cells and to CD4+ conventional (Foxp3-) T cells. The role of the regulatory T cell transcription factor Foxp3 in shaping the transcriptosomes of natural and induced regulatory T cells was analyzed using mice expressing a mutant FOXP3-EGFP fusion protein (Foxp3deltaEGFP). We used gene expression microarrays to examine the transcriptional programs of natural and induced regulatory T cells and the function of Foxp3 in organizing the transcriptosomes of the respective cell type "}
{"STANDARD_NAME":"GSE14415_INDUCED_VS_NATURAL_TREG_DN","SYSTEMATIC_NAME":"M2969","ORGANISM":"Mus musculus","PMID":"19265124","AUTHORS":"Haribhai D,Lin W,Edwards B,Ziegelbauer J,Salzman NH,Carlson MR,Li SH,Simpson PM,Chatila TA,Williams CB","GEOID":"GSE14415","EXACT_SOURCE":"GSE14415_2984_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in T reg: induced versus natural.","DESCRIPTION_FULL":"The gene expression profile of peripheral Foxp3+ natural regulatory T cells isolated from Foxp3/EGFP bicistronic mice was compared to that of in vitro-induced regulatory T cells and to CD4+ conventional (Foxp3-) T cells. The role of the regulatory T cell transcription factor Foxp3 in shaping the transcriptosomes of natural and induced regulatory T cells was analyzed using mice expressing a mutant FOXP3-EGFP fusion protein (Foxp3deltaEGFP). We used gene expression microarrays to examine the transcriptional programs of natural and induced regulatory T cells and the function of Foxp3 in organizing the transcriptosomes of the respective cell type "}
{"STANDARD_NAME":"GSE14415_NATURAL_TREG_VS_FOXP3_KO_NATURAL_TREG_DN","SYSTEMATIC_NAME":"M2972","ORGANISM":"Mus musculus","PMID":"19265124","AUTHORS":"Haribhai D,Lin W,Edwards B,Ziegelbauer J,Salzman NH,Carlson MR,Li SH,Simpson PM,Chatila TA,Williams CB","GEOID":"GSE14415","EXACT_SOURCE":"GSE14415_2982_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in natural T reg: wildtype versus non-functional FOXP3 [GeneID=50943].","DESCRIPTION_FULL":"The gene expression profile of peripheral Foxp3+ natural regulatory T cells isolated from Foxp3/EGFP bicistronic mice was compared to that of in vitro-induced regulatory T cells and to CD4+ conventional (Foxp3-) T cells. The role of the regulatory T cell transcription factor Foxp3 in shaping the transcriptosomes of natural and induced regulatory T cells was analyzed using mice expressing a mutant FOXP3-EGFP fusion protein (Foxp3deltaEGFP). We used gene expression microarrays to examine the transcriptional programs of natural and induced regulatory T cells and the function of Foxp3 in organizing the transcriptosomes of the respective cell type "}
{"STANDARD_NAME":"GSE14415_ACT_VS_CTRL_NATURAL_TREG_UP","SYSTEMATIC_NAME":"M2975","ORGANISM":"Mus musculus","PMID":"19265124","AUTHORS":"Haribhai D,Lin W,Edwards B,Ziegelbauer J,Salzman NH,Carlson MR,Li SH,Simpson PM,Chatila TA,Williams CB","GEOID":"GSE14415","EXACT_SOURCE":"GSE14415_2989_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in natural T reg: activated versus naïve.","DESCRIPTION_FULL":"The gene expression profile of peripheral Foxp3+ natural regulatory T cells isolated from Foxp3/EGFP bicistronic mice was compared to that of in vitro-induced regulatory T cells and to CD4+ conventional (Foxp3-) T cells. The role of the regulatory T cell transcription factor Foxp3 in shaping the transcriptosomes of natural and induced regulatory T cells was analyzed using mice expressing a mutant FOXP3-EGFP fusion protein (Foxp3deltaEGFP). We used gene expression microarrays to examine the transcriptional programs of natural and induced regulatory T cells and the function of Foxp3 in organizing the transcriptosomes of the respective cell type "}
{"STANDARD_NAME":"GSE14415_NATURAL_TREG_VS_TCONV_UP","SYSTEMATIC_NAME":"M2976","ORGANISM":"Mus musculus","PMID":"19265124","AUTHORS":"Haribhai D,Lin W,Edwards B,Ziegelbauer J,Salzman NH,Carlson MR,Li SH,Simpson PM,Chatila TA,Williams CB","GEOID":"GSE14415","EXACT_SOURCE":"GSE14415_2983_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in natural T reg versus T conv.","DESCRIPTION_FULL":"The gene expression profile of peripheral Foxp3+ natural regulatory T cells isolated from Foxp3/EGFP bicistronic mice was compared to that of in vitro-induced regulatory T cells and to CD4+ conventional (Foxp3-) T cells. The role of the regulatory T cell transcription factor Foxp3 in shaping the transcriptosomes of natural and induced regulatory T cells was analyzed using mice expressing a mutant FOXP3-EGFP fusion protein (Foxp3deltaEGFP). We used gene expression microarrays to examine the transcriptional programs of natural and induced regulatory T cells and the function of Foxp3 in organizing the transcriptosomes of the respective cell type "}
{"STANDARD_NAME":"GSE14386_UNTREATED_VS_IFNA_TREATED_ACT_PBMC_MS_PATIENT_UP","SYSTEMATIC_NAME":"M2977","ORGANISM":"Homo sapiens","PMID":"19265172","AUTHORS":"Zhang X,Jin J,Tang Y,Speer D,Sujkowska D,Markovic-Plese S","GEOID":"GSE14386","EXACT_SOURCE":"GSE14386_2514_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in peripheral blood mononclear cells (PBMC) from multiple sclerosis (MS) patient: untreated versus IFNB1 [GeneID=3456].","DESCRIPTION_FULL":"IFNβ, an effective therapy against relapsing-remitting (RR) multiple sclerosis (MS) is naturally secreted during the innate immune response against viral pathogens. The objective of this study was to characterize the immunomodulatory mechanisms of IFNβ targeting innate immune response and their effects on DC-mediated regulation of T-cell differentiation. We found that IFNβ−1a in-vitro treatment of human monocyte-derived dendritic cells (DCs) induced the expression of TLR7 and the members of its downstream signaling pathway, including myeloid differentiation factor 88 (MyD88), IL-1R-associated kinase (IRAK)4, and TNF receptor-associated factor (TRAF)6, while it inhibited the expression of IL-1R. Using siRNA TLR7 gene silencing, we confirmed that IFNβ-1a-induced changes in MyD88, IRAK4 and IL-1R expression were dependent on TLR7. TLR7 expression was also necessary for the IFNβ-1a-induced inhibition of IL-1β and IL-23, and the induction of IL-27 secretion by DCs. Supernatant (SN) transfer experiments confirmed that IFNβ-1a-induced changes in DCs’ cytokine secretion inhibit Th17 cell differentiation as evidenced by the inhibition of retinoic acid-related orphan nuclear hormone receptor C (RORC) and IL-17A gene expression and IL-17A secretion. Our study has identified a novel therapeutic mechanism of IFNβ−1a, that selectively targets the autoimmune response in MS. "}
{"STANDARD_NAME":"GSE14386_UNTREATED_VS_IFNA_TREATED_ACT_PBMC_MS_PATIENT_DN","SYSTEMATIC_NAME":"M2979","ORGANISM":"Homo sapiens","PMID":"19265172","AUTHORS":"Zhang X,Jin J,Tang Y,Speer D,Sujkowska D,Markovic-Plese S","GEOID":"GSE14386","EXACT_SOURCE":"GSE14386_2514_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in peripheral blood mononclear cells (PBMC) from multiple sclerosis (MS) patient: untreated versus IFNB1 [GeneID=3456].","DESCRIPTION_FULL":"IFNβ, an effective therapy against relapsing-remitting (RR) multiple sclerosis (MS) is naturally secreted during the innate immune response against viral pathogens. The objective of this study was to characterize the immunomodulatory mechanisms of IFNβ targeting innate immune response and their effects on DC-mediated regulation of T-cell differentiation. We found that IFNβ−1a in-vitro treatment of human monocyte-derived dendritic cells (DCs) induced the expression of TLR7 and the members of its downstream signaling pathway, including myeloid differentiation factor 88 (MyD88), IL-1R-associated kinase (IRAK)4, and TNF receptor-associated factor (TRAF)6, while it inhibited the expression of IL-1R. Using siRNA TLR7 gene silencing, we confirmed that IFNβ-1a-induced changes in MyD88, IRAK4 and IL-1R expression were dependent on TLR7. TLR7 expression was also necessary for the IFNβ-1a-induced inhibition of IL-1β and IL-23, and the induction of IL-27 secretion by DCs. Supernatant (SN) transfer experiments confirmed that IFNβ-1a-induced changes in DCs’ cytokine secretion inhibit Th17 cell differentiation as evidenced by the inhibition of retinoic acid-related orphan nuclear hormone receptor C (RORC) and IL-17A gene expression and IL-17A secretion. Our study has identified a novel therapeutic mechanism of IFNβ−1a, that selectively targets the autoimmune response in MS. "}
{"STANDARD_NAME":"GSE13547_CTRL_VS_ANTI_IGM_STIM_BCELL_12H_DN","SYSTEMATIC_NAME":"M2980","ORGANISM":"Mus musculus","PMID":"19329779","AUTHORS":"Arenzana TL,Smith-Raska MR,Reizis B","GEOID":"GSE13547","EXACT_SOURCE":"GSE13547_3163_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in B lymphocytes: control versus stimulated by anti-IgM for 12h.","DESCRIPTION_FULL":"The development, homeostasis and function of B lymphocytes involve multiple rounds of B cell receptor (BCR)-controlled proliferation and prolonged maintenance. We analyzed the role of transcription factor Zfx, a recently identified regulator of stem cell maintenance, in B cell development and homeostasis. Conditional Zfx deletion in the bone marrow blocked B cell development at the pre-BCR selection checkpoint. Zfx deficiency in peripheral B cells caused impaired generation of the B-1 cell lineage, accelerated B cell turnover, depletion of mature recirculating cells, and delayed T-dependent antibody responses. Zfx-deficient B cells showed normal proximal BCR signaling, but impaired BCR-induced proliferation and survival. This was accompanied by aberrantly enhanced and prolonged integrated stress response, and delayed induction of Cyclin D2 and Bcl-xL proteins. Thus, Zfx restrains the stress response and couples antigen receptor signaling to B cell expansion and maintenance during development and peripheral homeostasis. "}
{"STANDARD_NAME":"GSE13547_2H_VS_12_H_ANTI_IGM_STIM_BCELL_UP","SYSTEMATIC_NAME":"M2981","ORGANISM":"Mus musculus","PMID":"19329779","AUTHORS":"Arenzana TL,Smith-Raska MR,Reizis B","GEOID":"GSE13547","EXACT_SOURCE":"GSE13547_3164_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in B lymphocytes stimulated by anti-IgM: 2h versus 12h.","DESCRIPTION_FULL":"The development, homeostasis and function of B lymphocytes involve multiple rounds of B cell receptor (BCR)-controlled proliferation and prolonged maintenance. We analyzed the role of transcription factor Zfx, a recently identified regulator of stem cell maintenance, in B cell development and homeostasis. Conditional Zfx deletion in the bone marrow blocked B cell development at the pre-BCR selection checkpoint. Zfx deficiency in peripheral B cells caused impaired generation of the B-1 cell lineage, accelerated B cell turnover, depletion of mature recirculating cells, and delayed T-dependent antibody responses. Zfx-deficient B cells showed normal proximal BCR signaling, but impaired BCR-induced proliferation and survival. This was accompanied by aberrantly enhanced and prolonged integrated stress response, and delayed induction of Cyclin D2 and Bcl-xL proteins. Thus, Zfx restrains the stress response and couples antigen receptor signaling to B cell expansion and maintenance during development and peripheral homeostasis. "}
{"STANDARD_NAME":"GSE13547_2H_VS_12_H_ANTI_IGM_STIM_BCELL_DN","SYSTEMATIC_NAME":"M2982","ORGANISM":"Mus musculus","PMID":"19329779","AUTHORS":"Arenzana TL,Smith-Raska MR,Reizis B","GEOID":"GSE13547","EXACT_SOURCE":"GSE13547_3164_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in B lymphocytes stimulated by anti-IgM: 2h versus 12h.","DESCRIPTION_FULL":"The development, homeostasis and function of B lymphocytes involve multiple rounds of B cell receptor (BCR)-controlled proliferation and prolonged maintenance. We analyzed the role of transcription factor Zfx, a recently identified regulator of stem cell maintenance, in B cell development and homeostasis. Conditional Zfx deletion in the bone marrow blocked B cell development at the pre-BCR selection checkpoint. Zfx deficiency in peripheral B cells caused impaired generation of the B-1 cell lineage, accelerated B cell turnover, depletion of mature recirculating cells, and delayed T-dependent antibody responses. Zfx-deficient B cells showed normal proximal BCR signaling, but impaired BCR-induced proliferation and survival. This was accompanied by aberrantly enhanced and prolonged integrated stress response, and delayed induction of Cyclin D2 and Bcl-xL proteins. Thus, Zfx restrains the stress response and couples antigen receptor signaling to B cell expansion and maintenance during development and peripheral homeostasis. "}
{"STANDARD_NAME":"GSE13547_WT_VS_ZFX_KO_BCELL_ANTI_IGM_STIM_12H_DN","SYSTEMATIC_NAME":"M2983","ORGANISM":"Mus musculus","PMID":"19329779","AUTHORS":"Arenzana TL,Smith-Raska MR,Reizis B","GEOID":"GSE13547","EXACT_SOURCE":"GSE13547_3170_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in B lymphocytes stimulated by anti-IgM for 12h: wildtype versus ZFX [GeneID=7543] knockout.","DESCRIPTION_FULL":"The development, homeostasis and function of B lymphocytes involve multiple rounds of B cell receptor (BCR)-controlled proliferation and prolonged maintenance. We analyzed the role of transcription factor Zfx, a recently identified regulator of stem cell maintenance, in B cell development and homeostasis. Conditional Zfx deletion in the bone marrow blocked B cell development at the pre-BCR selection checkpoint. Zfx deficiency in peripheral B cells caused impaired generation of the B-1 cell lineage, accelerated B cell turnover, depletion of mature recirculating cells, and delayed T-dependent antibody responses. Zfx-deficient B cells showed normal proximal BCR signaling, but impaired BCR-induced proliferation and survival. This was accompanied by aberrantly enhanced and prolonged integrated stress response, and delayed induction of Cyclin D2 and Bcl-xL proteins. Thus, Zfx restrains the stress response and couples antigen receptor signaling to B cell expansion and maintenance during development and peripheral homeostasis. "}
{"STANDARD_NAME":"GSE13547_CTRL_VS_ANTI_IGM_STIM_BCELL_12H_UP","SYSTEMATIC_NAME":"M2984","ORGANISM":"Mus musculus","PMID":"19329779","AUTHORS":"Arenzana TL,Smith-Raska MR,Reizis B","GEOID":"GSE13547","EXACT_SOURCE":"GSE13547_3163_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in B lymphocytes: control versus stimulated by anti-IgM for 12h.","DESCRIPTION_FULL":"The development, homeostasis and function of B lymphocytes involve multiple rounds of B cell receptor (BCR)-controlled proliferation and prolonged maintenance. We analyzed the role of transcription factor Zfx, a recently identified regulator of stem cell maintenance, in B cell development and homeostasis. Conditional Zfx deletion in the bone marrow blocked B cell development at the pre-BCR selection checkpoint. Zfx deficiency in peripheral B cells caused impaired generation of the B-1 cell lineage, accelerated B cell turnover, depletion of mature recirculating cells, and delayed T-dependent antibody responses. Zfx-deficient B cells showed normal proximal BCR signaling, but impaired BCR-induced proliferation and survival. This was accompanied by aberrantly enhanced and prolonged integrated stress response, and delayed induction of Cyclin D2 and Bcl-xL proteins. Thus, Zfx restrains the stress response and couples antigen receptor signaling to B cell expansion and maintenance during development and peripheral homeostasis. "}
{"STANDARD_NAME":"GSE13547_WT_VS_ZFX_KO_BCELL_ANTI_IGM_STIM_2H_DN","SYSTEMATIC_NAME":"M2988","ORGANISM":"Mus musculus","PMID":"19329779","AUTHORS":"Arenzana TL,Smith-Raska MR,Reizis B","GEOID":"GSE13547","EXACT_SOURCE":"GSE13547_3169_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in B lymphocytes stimulated by anti-IgM for 2h: wildtype versus ZFX [GeneID=7543] knockout.","DESCRIPTION_FULL":"The development, homeostasis and function of B lymphocytes involve multiple rounds of B cell receptor (BCR)-controlled proliferation and prolonged maintenance. We analyzed the role of transcription factor Zfx, a recently identified regulator of stem cell maintenance, in B cell development and homeostasis. Conditional Zfx deletion in the bone marrow blocked B cell development at the pre-BCR selection checkpoint. Zfx deficiency in peripheral B cells caused impaired generation of the B-1 cell lineage, accelerated B cell turnover, depletion of mature recirculating cells, and delayed T-dependent antibody responses. Zfx-deficient B cells showed normal proximal BCR signaling, but impaired BCR-induced proliferation and survival. This was accompanied by aberrantly enhanced and prolonged integrated stress response, and delayed induction of Cyclin D2 and Bcl-xL proteins. Thus, Zfx restrains the stress response and couples antigen receptor signaling to B cell expansion and maintenance during development and peripheral homeostasis. "}
{"STANDARD_NAME":"GSE13547_WT_VS_ZFX_KO_BCELL_ANTI_IGM_STIM_12H_UP","SYSTEMATIC_NAME":"M2989","ORGANISM":"Mus musculus","PMID":"19329779","AUTHORS":"Arenzana TL,Smith-Raska MR,Reizis B","GEOID":"GSE13547","EXACT_SOURCE":"GSE13547_3170_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in B lymphocytes stimulated by anti-IgM for 12h: wildtype versus ZFX [GeneID=7543] knockout.","DESCRIPTION_FULL":"The development, homeostasis and function of B lymphocytes involve multiple rounds of B cell receptor (BCR)-controlled proliferation and prolonged maintenance. We analyzed the role of transcription factor Zfx, a recently identified regulator of stem cell maintenance, in B cell development and homeostasis. Conditional Zfx deletion in the bone marrow blocked B cell development at the pre-BCR selection checkpoint. Zfx deficiency in peripheral B cells caused impaired generation of the B-1 cell lineage, accelerated B cell turnover, depletion of mature recirculating cells, and delayed T-dependent antibody responses. Zfx-deficient B cells showed normal proximal BCR signaling, but impaired BCR-induced proliferation and survival. This was accompanied by aberrantly enhanced and prolonged integrated stress response, and delayed induction of Cyclin D2 and Bcl-xL proteins. Thus, Zfx restrains the stress response and couples antigen receptor signaling to B cell expansion and maintenance during development and peripheral homeostasis. "}
{"STANDARD_NAME":"GSE13547_CTRL_VS_ANTI_IGM_STIM_ZFX_KO_BCELL_2H_DN","SYSTEMATIC_NAME":"M2990","ORGANISM":"Mus musculus","PMID":"19329779","AUTHORS":"Arenzana TL,Smith-Raska MR,Reizis B","GEOID":"GSE13547","EXACT_SOURCE":"GSE13547_3165_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in B lymphocytes with ZFX [GeneID=7543] knockout: control versus stimulated by anti-IgM for 2h.","DESCRIPTION_FULL":"The development, homeostasis and function of B lymphocytes involve multiple rounds of B cell receptor (BCR)-controlled proliferation and prolonged maintenance. We analyzed the role of transcription factor Zfx, a recently identified regulator of stem cell maintenance, in B cell development and homeostasis. Conditional Zfx deletion in the bone marrow blocked B cell development at the pre-BCR selection checkpoint. Zfx deficiency in peripheral B cells caused impaired generation of the B-1 cell lineage, accelerated B cell turnover, depletion of mature recirculating cells, and delayed T-dependent antibody responses. Zfx-deficient B cells showed normal proximal BCR signaling, but impaired BCR-induced proliferation and survival. This was accompanied by aberrantly enhanced and prolonged integrated stress response, and delayed induction of Cyclin D2 and Bcl-xL proteins. Thus, Zfx restrains the stress response and couples antigen receptor signaling to B cell expansion and maintenance during development and peripheral homeostasis. "}
{"STANDARD_NAME":"GSE13547_CTRL_VS_ANTI_IGM_STIM_BCELL_2H_DN","SYSTEMATIC_NAME":"M2991","ORGANISM":"Mus musculus","PMID":"19329779","AUTHORS":"Arenzana TL,Smith-Raska MR,Reizis B","GEOID":"GSE13547","EXACT_SOURCE":"GSE13547_3162_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in B lymphocytes: control versus stimulated by anti-IgM.","DESCRIPTION_FULL":"The development, homeostasis and function of B lymphocytes involve multiple rounds of B cell receptor (BCR)-controlled proliferation and prolonged maintenance. We analyzed the role of transcription factor Zfx, a recently identified regulator of stem cell maintenance, in B cell development and homeostasis. Conditional Zfx deletion in the bone marrow blocked B cell development at the pre-BCR selection checkpoint. Zfx deficiency in peripheral B cells caused impaired generation of the B-1 cell lineage, accelerated B cell turnover, depletion of mature recirculating cells, and delayed T-dependent antibody responses. Zfx-deficient B cells showed normal proximal BCR signaling, but impaired BCR-induced proliferation and survival. This was accompanied by aberrantly enhanced and prolonged integrated stress response, and delayed induction of Cyclin D2 and Bcl-xL proteins. Thus, Zfx restrains the stress response and couples antigen receptor signaling to B cell expansion and maintenance during development and peripheral homeostasis. "}
{"STANDARD_NAME":"GSE13547_CTRL_VS_ANTI_IGM_STIM_BCELL_2H_UP","SYSTEMATIC_NAME":"M2993","ORGANISM":"Mus musculus","PMID":"19329779","AUTHORS":"Arenzana TL,Smith-Raska MR,Reizis B","GEOID":"GSE13547","EXACT_SOURCE":"GSE13547_3162_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in B lymphocytes: control versus stimulated by anti-IgM for 2h.","DESCRIPTION_FULL":"The development, homeostasis and function of B lymphocytes involve multiple rounds of B cell receptor (BCR)-controlled proliferation and prolonged maintenance. We analyzed the role of transcription factor Zfx, a recently identified regulator of stem cell maintenance, in B cell development and homeostasis. Conditional Zfx deletion in the bone marrow blocked B cell development at the pre-BCR selection checkpoint. Zfx deficiency in peripheral B cells caused impaired generation of the B-1 cell lineage, accelerated B cell turnover, depletion of mature recirculating cells, and delayed T-dependent antibody responses. Zfx-deficient B cells showed normal proximal BCR signaling, but impaired BCR-induced proliferation and survival. This was accompanied by aberrantly enhanced and prolonged integrated stress response, and delayed induction of Cyclin D2 and Bcl-xL proteins. Thus, Zfx restrains the stress response and couples antigen receptor signaling to B cell expansion and maintenance during development and peripheral homeostasis. "}
{"STANDARD_NAME":"GSE13547_WT_VS_ZFX_KO_BCELL_ANTI_IGM_STIM_2H_UP","SYSTEMATIC_NAME":"M2994","ORGANISM":"Mus musculus","PMID":"19329779","AUTHORS":"Arenzana TL,Smith-Raska MR,Reizis B","GEOID":"GSE13547","EXACT_SOURCE":"GSE13547_3169_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in B lymphocytes stimulated by anti-IgM for 2h: wildtype versus ZFX [GeneID=7543] knockout.","DESCRIPTION_FULL":"The development, homeostasis and function of B lymphocytes involve multiple rounds of B cell receptor (BCR)-controlled proliferation and prolonged maintenance. We analyzed the role of transcription factor Zfx, a recently identified regulator of stem cell maintenance, in B cell development and homeostasis. Conditional Zfx deletion in the bone marrow blocked B cell development at the pre-BCR selection checkpoint. Zfx deficiency in peripheral B cells caused impaired generation of the B-1 cell lineage, accelerated B cell turnover, depletion of mature recirculating cells, and delayed T-dependent antibody responses. Zfx-deficient B cells showed normal proximal BCR signaling, but impaired BCR-induced proliferation and survival. This was accompanied by aberrantly enhanced and prolonged integrated stress response, and delayed induction of Cyclin D2 and Bcl-xL proteins. Thus, Zfx restrains the stress response and couples antigen receptor signaling to B cell expansion and maintenance during development and peripheral homeostasis. "}
{"STANDARD_NAME":"GSE13547_2H_VS_12_H_ANTI_IGM_STIM_ZFX_KO_BCELL_UP","SYSTEMATIC_NAME":"M2995","ORGANISM":"Mus musculus","PMID":"19329779","AUTHORS":"Arenzana TL,Smith-Raska MR,Reizis B","GEOID":"GSE13547","EXACT_SOURCE":"GSE13547_3167_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in B lymphocytes stimulated by anti-IgM: ZFX [GeneID=7543] knockout (2h) versus wildtype (12h).","DESCRIPTION_FULL":"The development, homeostasis and function of B lymphocytes involve multiple rounds of B cell receptor (BCR)-controlled proliferation and prolonged maintenance. We analyzed the role of transcription factor Zfx, a recently identified regulator of stem cell maintenance, in B cell development and homeostasis. Conditional Zfx deletion in the bone marrow blocked B cell development at the pre-BCR selection checkpoint. Zfx deficiency in peripheral B cells caused impaired generation of the B-1 cell lineage, accelerated B cell turnover, depletion of mature recirculating cells, and delayed T-dependent antibody responses. Zfx-deficient B cells showed normal proximal BCR signaling, but impaired BCR-induced proliferation and survival. This was accompanied by aberrantly enhanced and prolonged integrated stress response, and delayed induction of Cyclin D2 and Bcl-xL proteins. Thus, Zfx restrains the stress response and couples antigen receptor signaling to B cell expansion and maintenance during development and peripheral homeostasis. "}
{"STANDARD_NAME":"GSE13547_2H_VS_12_H_ANTI_IGM_STIM_ZFX_KO_BCELL_DN","SYSTEMATIC_NAME":"M2996","ORGANISM":"Mus musculus","PMID":"19329779","AUTHORS":"Arenzana TL,Smith-Raska MR,Reizis B","GEOID":"GSE13547","EXACT_SOURCE":"GSE13547_3167_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in B lymphocytes stimulated by anti-IgM: ZFX [GeneID=7543] knockout (2h) versus wildtype (12h).","DESCRIPTION_FULL":"The development, homeostasis and function of B lymphocytes involve multiple rounds of B cell receptor (BCR)-controlled proliferation and prolonged maintenance. We analyzed the role of transcription factor Zfx, a recently identified regulator of stem cell maintenance, in B cell development and homeostasis. Conditional Zfx deletion in the bone marrow blocked B cell development at the pre-BCR selection checkpoint. Zfx deficiency in peripheral B cells caused impaired generation of the B-1 cell lineage, accelerated B cell turnover, depletion of mature recirculating cells, and delayed T-dependent antibody responses. Zfx-deficient B cells showed normal proximal BCR signaling, but impaired BCR-induced proliferation and survival. This was accompanied by aberrantly enhanced and prolonged integrated stress response, and delayed induction of Cyclin D2 and Bcl-xL proteins. Thus, Zfx restrains the stress response and couples antigen receptor signaling to B cell expansion and maintenance during development and peripheral homeostasis. "}
{"STANDARD_NAME":"GSE13547_WT_VS_ZFX_KO_BCELL_UP","SYSTEMATIC_NAME":"M2997","ORGANISM":"Mus musculus","PMID":"19329779","AUTHORS":"Arenzana TL,Smith-Raska MR,Reizis B","GEOID":"GSE13547","EXACT_SOURCE":"GSE13547_3168_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in B lymphocytes: wildtype versus ZFX [GeneID=7543].","DESCRIPTION_FULL":"The development, homeostasis and function of B lymphocytes involve multiple rounds of B cell receptor (BCR)-controlled proliferation and prolonged maintenance. We analyzed the role of transcription factor Zfx, a recently identified regulator of stem cell maintenance, in B cell development and homeostasis. Conditional Zfx deletion in the bone marrow blocked B cell development at the pre-BCR selection checkpoint. Zfx deficiency in peripheral B cells caused impaired generation of the B-1 cell lineage, accelerated B cell turnover, depletion of mature recirculating cells, and delayed T-dependent antibody responses. Zfx-deficient B cells showed normal proximal BCR signaling, but impaired BCR-induced proliferation and survival. This was accompanied by aberrantly enhanced and prolonged integrated stress response, and delayed induction of Cyclin D2 and Bcl-xL proteins. Thus, Zfx restrains the stress response and couples antigen receptor signaling to B cell expansion and maintenance during development and peripheral homeostasis. "}
{"STANDARD_NAME":"GSE13547_CTRL_VS_ANTI_IGM_STIM_ZFX_KO_BCELL_2H_UP","SYSTEMATIC_NAME":"M3000","ORGANISM":"Mus musculus","PMID":"19329779","AUTHORS":"Arenzana TL,Smith-Raska MR,Reizis B","GEOID":"GSE13547","EXACT_SOURCE":"GSE13547_3165_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in B lymphocytes with ZFX [GeneID=7543] knockout: control versus stimulated by anti-IgM for 2h.","DESCRIPTION_FULL":"The development, homeostasis and function of B lymphocytes involve multiple rounds of B cell receptor (BCR)-controlled proliferation and prolonged maintenance. We analyzed the role of transcription factor Zfx, a recently identified regulator of stem cell maintenance, in B cell development and homeostasis. Conditional Zfx deletion in the bone marrow blocked B cell development at the pre-BCR selection checkpoint. Zfx deficiency in peripheral B cells caused impaired generation of the B-1 cell lineage, accelerated B cell turnover, depletion of mature recirculating cells, and delayed T-dependent antibody responses. Zfx-deficient B cells showed normal proximal BCR signaling, but impaired BCR-induced proliferation and survival. This was accompanied by aberrantly enhanced and prolonged integrated stress response, and delayed induction of Cyclin D2 and Bcl-xL proteins. Thus, Zfx restrains the stress response and couples antigen receptor signaling to B cell expansion and maintenance during development and peripheral homeostasis. "}
{"STANDARD_NAME":"GSE13547_CTRL_VS_ANTI_IGM_STIM_ZFX_KO_BCELL_12H_UP","SYSTEMATIC_NAME":"M7001","ORGANISM":"Mus musculus","PMID":"19329779","AUTHORS":"Arenzana TL,Smith-Raska MR,Reizis B","GEOID":"GSE13547","EXACT_SOURCE":"GSE13547_3166_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in B lymphocytes: ZFX [GeneID=7543] knockout versus wildtype cells stimulated by anti-IgM for 12h.","DESCRIPTION_FULL":"The development, homeostasis and function of B lymphocytes involve multiple rounds of B cell receptor (BCR)-controlled proliferation and prolonged maintenance. We analyzed the role of transcription factor Zfx, a recently identified regulator of stem cell maintenance, in B cell development and homeostasis. Conditional Zfx deletion in the bone marrow blocked B cell development at the pre-BCR selection checkpoint. Zfx deficiency in peripheral B cells caused impaired generation of the B-1 cell lineage, accelerated B cell turnover, depletion of mature recirculating cells, and delayed T-dependent antibody responses. Zfx-deficient B cells showed normal proximal BCR signaling, but impaired BCR-induced proliferation and survival. This was accompanied by aberrantly enhanced and prolonged integrated stress response, and delayed induction of Cyclin D2 and Bcl-xL proteins. Thus, Zfx restrains the stress response and couples antigen receptor signaling to B cell expansion and maintenance during development and peripheral homeostasis. "}
{"STANDARD_NAME":"GSE13547_CTRL_VS_ANTI_IGM_STIM_ZFX_KO_BCELL_12H_DN","SYSTEMATIC_NAME":"M7002","ORGANISM":"Mus musculus","PMID":"19329779","AUTHORS":"Arenzana TL,Smith-Raska MR,Reizis B","GEOID":"GSE13547","EXACT_SOURCE":"GSE13547_3166_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in B lymphocytes: ZFX [GeneID=7543] knockout versus wildtype cells stimulated by anti-IgM for 12h.","DESCRIPTION_FULL":"The development, homeostasis and function of B lymphocytes involve multiple rounds of B cell receptor (BCR)-controlled proliferation and prolonged maintenance. We analyzed the role of transcription factor Zfx, a recently identified regulator of stem cell maintenance, in B cell development and homeostasis. Conditional Zfx deletion in the bone marrow blocked B cell development at the pre-BCR selection checkpoint. Zfx deficiency in peripheral B cells caused impaired generation of the B-1 cell lineage, accelerated B cell turnover, depletion of mature recirculating cells, and delayed T-dependent antibody responses. Zfx-deficient B cells showed normal proximal BCR signaling, but impaired BCR-induced proliferation and survival. This was accompanied by aberrantly enhanced and prolonged integrated stress response, and delayed induction of Cyclin D2 and Bcl-xL proteins. Thus, Zfx restrains the stress response and couples antigen receptor signaling to B cell expansion and maintenance during development and peripheral homeostasis. "}
{"STANDARD_NAME":"GSE13547_WT_VS_ZFX_KO_BCELL_DN","SYSTEMATIC_NAME":"M7003","ORGANISM":"Mus musculus","PMID":"19329779","AUTHORS":"Arenzana TL,Smith-Raska MR,Reizis B","GEOID":"GSE13547","EXACT_SOURCE":"GSE13547_3168_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in B lymphocytes: wildtype versus ZFX [GeneID=7543].","DESCRIPTION_FULL":"The development, homeostasis and function of B lymphocytes involve multiple rounds of B cell receptor (BCR)-controlled proliferation and prolonged maintenance. We analyzed the role of transcription factor Zfx, a recently identified regulator of stem cell maintenance, in B cell development and homeostasis. Conditional Zfx deletion in the bone marrow blocked B cell development at the pre-BCR selection checkpoint. Zfx deficiency in peripheral B cells caused impaired generation of the B-1 cell lineage, accelerated B cell turnover, depletion of mature recirculating cells, and delayed T-dependent antibody responses. Zfx-deficient B cells showed normal proximal BCR signaling, but impaired BCR-induced proliferation and survival. This was accompanied by aberrantly enhanced and prolonged integrated stress response, and delayed induction of Cyclin D2 and Bcl-xL proteins. Thus, Zfx restrains the stress response and couples antigen receptor signaling to B cell expansion and maintenance during development and peripheral homeostasis. "}
{"STANDARD_NAME":"GSE15330_HSC_VS_MEGAKARYOCYTE_ERYTHROID_PROGENITOR_UP","SYSTEMATIC_NAME":"M7005","ORGANISM":"Mus musculus","PMID":"19345118","AUTHORS":"Ng SY,Yoshida T,Zhang J,Georgopoulos K","GEOID":"GSE15330","EXACT_SOURCE":"GSE15330_2817_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in hematopoietic stem cells versus megakaryo-erythrocyte progenitors.","DESCRIPTION_FULL":"Regulation of lineage potential and transcriptional priming by Ikaros. New insight is provided into a bivalent regulation of lineage priming in the HSC and its lympho-myeloid restricted progeny the LMPP by the lymphoid lineage-determining factor Ikaros Whereas Ikaros is responsible for the activation of a cascade of lymphoid expression programs and for the establishment of lymphoid potential from the HSC to the LMPP it is also responsible for the repression of stem cell and erythroid genetic programs that are incompatible with further lineage restrictions emanating from the LMPP "}
{"STANDARD_NAME":"GSE15330_HSC_VS_LYMPHOID_PRIMED_MULTIPOTENT_PROGENITOR_DN","SYSTEMATIC_NAME":"M7006","ORGANISM":"Mus musculus","PMID":"19345118","AUTHORS":"Ng SY,Yoshida T,Zhang J,Georgopoulos K","GEOID":"GSE15330","EXACT_SOURCE":"GSE15330_2816_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in hematopoietic stem cells versus lymphoid primed multipotent progenitors.","DESCRIPTION_FULL":"Regulation of lineage potential and transcriptional priming by Ikaros. New insight is provided into a bivalent regulation of lineage priming in the HSC and its lympho-myeloid restricted progeny the LMPP by the lymphoid lineage-determining factor Ikaros Whereas Ikaros is responsible for the activation of a cascade of lymphoid expression programs and for the establishment of lymphoid potential from the HSC to the LMPP it is also responsible for the repression of stem cell and erythroid genetic programs that are incompatible with further lineage restrictions emanating from the LMPP "}
{"STANDARD_NAME":"GSE15330_HSC_VS_MEGAKARYOCYTE_ERYTHROID_PROGENITOR_DN","SYSTEMATIC_NAME":"M7007","ORGANISM":"Mus musculus","PMID":"19345118","AUTHORS":"Ng SY,Yoshida T,Zhang J,Georgopoulos K","GEOID":"GSE15330","EXACT_SOURCE":"GSE15330_2817_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in hematopoietic stem cells versus megakaryo-erythrocyte progenitors.","DESCRIPTION_FULL":"Regulation of lineage potential and transcriptional priming by Ikaros. New insight is provided into a bivalent regulation of lineage priming in the HSC and its lympho-myeloid restricted progeny the LMPP by the lymphoid lineage-determining factor Ikaros Whereas Ikaros is responsible for the activation of a cascade of lymphoid expression programs and for the establishment of lymphoid potential from the HSC to the LMPP it is also responsible for the repression of stem cell and erythroid genetic programs that are incompatible with further lineage restrictions emanating from the LMPP "}
{"STANDARD_NAME":"GSE15330_MEGAKARYOCYTE_ERYTHROID_VS_GRANULOCYTE_MONOCYTE_PROGENITOR_UP","SYSTEMATIC_NAME":"M7008","ORGANISM":"Mus musculus","PMID":"19345118","AUTHORS":"Ng SY,Yoshida T,Zhang J,Georgopoulos K","GEOID":"GSE15330","EXACT_SOURCE":"GSE15330_2818_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in megakaryo-erythrocyte progenitors versus granulo-monocyte progenitors.","DESCRIPTION_FULL":"Regulation of lineage potential and transcriptional priming by Ikaros. New insight is provided into a bivalent regulation of lineage priming in the HSC and its lympho-myeloid restricted progeny the LMPP by the lymphoid lineage-determining factor Ikaros Whereas Ikaros is responsible for the activation of a cascade of lymphoid expression programs and for the establishment of lymphoid potential from the HSC to the LMPP it is also responsible for the repression of stem cell and erythroid genetic programs that are incompatible with further lineage restrictions emanating from the LMPP "}
{"STANDARD_NAME":"GSE15330_LYMPHOID_MULTIPOTENT_VS_MEGAKARYOCYTE_ERYTHROID_PROGENITOR_IKAROS_KO_UP","SYSTEMATIC_NAME":"M7009","ORGANISM":"Mus musculus","PMID":"19345118","AUTHORS":"Ng SY,Yoshida T,Zhang J,Georgopoulos K","GEOID":"GSE15330","EXACT_SOURCE":"GSE15330_2834_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in IKZF1 [GeneID=10320] knockout: lymphoid-primed multipotent progenitors versus megakaryo-erythrocyte progenitors.","DESCRIPTION_FULL":"Regulation of lineage potential and transcriptional priming by Ikaros. New insight is provided into a bivalent regulation of lineage priming in the HSC and its lympho-myeloid restricted progeny the LMPP by the lymphoid lineage-determining factor Ikaros Whereas Ikaros is responsible for the activation of a cascade of lymphoid expression programs and for the establishment of lymphoid potential from the HSC to the LMPP it is also responsible for the repression of stem cell and erythroid genetic programs that are incompatible with further lineage restrictions emanating from the LMPP "}
{"STANDARD_NAME":"GSE15330_LYMPHOID_MULTIPOTENT_VS_MEGAKARYOCYTE_ERYTHROID_PROGENITOR_IKAROS_KO_DN","SYSTEMATIC_NAME":"M7010","ORGANISM":"Mus musculus","PMID":"19345118","AUTHORS":"Ng SY,Yoshida T,Zhang J,Georgopoulos K","GEOID":"GSE15330","EXACT_SOURCE":"GSE15330_2834_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in IKZF1 [GeneID=10320] knockout: lymphoid-primed multipotent progenitors versus megakaryo-erythrocyte progenitors.","DESCRIPTION_FULL":"Regulation of lineage potential and transcriptional priming by Ikaros. New insight is provided into a bivalent regulation of lineage priming in the HSC and its lympho-myeloid restricted progeny the LMPP by the lymphoid lineage-determining factor Ikaros Whereas Ikaros is responsible for the activation of a cascade of lymphoid expression programs and for the establishment of lymphoid potential from the HSC to the LMPP it is also responsible for the repression of stem cell and erythroid genetic programs that are incompatible with further lineage restrictions emanating from the LMPP "}
{"STANDARD_NAME":"GSE15330_LYMPHOID_MULTIPOTENT_VS_PRO_BCELL_UP","SYSTEMATIC_NAME":"M7011","ORGANISM":"Mus musculus","PMID":"19345118","AUTHORS":"Ng SY,Yoshida T,Zhang J,Georgopoulos K","GEOID":"GSE15330","EXACT_SOURCE":"GSE15330_2833_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in lymphoid-primed multipotent progenitors versus pro-B lymphocytes.","DESCRIPTION_FULL":"Regulation of lineage potential and transcriptional priming by Ikaros. New insight is provided into a bivalent regulation of lineage priming in the HSC and its lympho-myeloid restricted progeny the LMPP by the lymphoid lineage-determining factor Ikaros Whereas Ikaros is responsible for the activation of a cascade of lymphoid expression programs and for the establishment of lymphoid potential from the HSC to the LMPP it is also responsible for the repression of stem cell and erythroid genetic programs that are incompatible with further lineage restrictions emanating from the LMPP "}
{"STANDARD_NAME":"GSE15330_LYMPHOID_MULTIPOTENT_VS_PRO_BCELL_DN","SYSTEMATIC_NAME":"M7016","ORGANISM":"Mus musculus","PMID":"19345118","AUTHORS":"Ng SY,Yoshida T,Zhang J,Georgopoulos K","GEOID":"GSE15330","EXACT_SOURCE":"GSE15330_2833_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in lymphoid-primed multipotent progenitors versus pro-B lymphocytes.","DESCRIPTION_FULL":"Regulation of lineage potential and transcriptional priming by Ikaros. New insight is provided into a bivalent regulation of lineage priming in the HSC and its lympho-myeloid restricted progeny the LMPP by the lymphoid lineage-determining factor Ikaros Whereas Ikaros is responsible for the activation of a cascade of lymphoid expression programs and for the establishment of lymphoid potential from the HSC to the LMPP it is also responsible for the repression of stem cell and erythroid genetic programs that are incompatible with further lineage restrictions emanating from the LMPP "}
{"STANDARD_NAME":"GSE15330_HSC_VS_MEGAKARYOCYTE_ERYTHROID_PROGENITOR_IKAROS_KO_DN","SYSTEMATIC_NAME":"M7017","ORGANISM":"Mus musculus","PMID":"19345118","AUTHORS":"Ng SY,Yoshida T,Zhang J,Georgopoulos K","GEOID":"GSE15330","EXACT_SOURCE":"GSE15330_2825_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in IKZF1 [GeneID=10320] knockout: hematopoietic stem cells versus megakaryo-erythrocyte progenitors.","DESCRIPTION_FULL":"Regulation of lineage potential and transcriptional priming by Ikaros. New insight is provided into a bivalent regulation of lineage priming in the HSC and its lympho-myeloid restricted progeny the LMPP by the lymphoid lineage-determining factor Ikaros Whereas Ikaros is responsible for the activation of a cascade of lymphoid expression programs and for the establishment of lymphoid potential from the HSC to the LMPP it is also responsible for the repression of stem cell and erythroid genetic programs that are incompatible with further lineage restrictions emanating from the LMPP "}
{"STANDARD_NAME":"GSE15330_HSC_VS_LYMPHOID_PRIMED_MULTIPOTENT_PROGENITOR_UP","SYSTEMATIC_NAME":"M7018","ORGANISM":"Mus musculus","PMID":"19345118","AUTHORS":"Ng SY,Yoshida T,Zhang J,Georgopoulos K","GEOID":"GSE15330","EXACT_SOURCE":"GSE15330_2816_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in hematopoietic stem cells versus lymphoid primed multipotent progenitors.","DESCRIPTION_FULL":"Regulation of lineage potential and transcriptional priming by Ikaros. New insight is provided into a bivalent regulation of lineage priming in the HSC and its lympho-myeloid restricted progeny the LMPP by the lymphoid lineage-determining factor Ikaros Whereas Ikaros is responsible for the activation of a cascade of lymphoid expression programs and for the establishment of lymphoid potential from the HSC to the LMPP it is also responsible for the repression of stem cell and erythroid genetic programs that are incompatible with further lineage restrictions emanating from the LMPP "}
{"STANDARD_NAME":"GSE15330_LYMPHOID_MULTIPOTENT_VS_MEGAKARYOCYTE_ERYTHROID_PROGENITOR_DN","SYSTEMATIC_NAME":"M7019","ORGANISM":"Mus musculus","PMID":"19345118","AUTHORS":"Ng SY,Yoshida T,Zhang J,Georgopoulos K","GEOID":"GSE15330","EXACT_SOURCE":"GSE15330_2831_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in lymphoid-primed multipotent progenitors versus megakaryo-erythrocyte progenitors.","DESCRIPTION_FULL":"Regulation of lineage potential and transcriptional priming by Ikaros. New insight is provided into a bivalent regulation of lineage priming in the HSC and its lympho-myeloid restricted progeny the LMPP by the lymphoid lineage-determining factor Ikaros Whereas Ikaros is responsible for the activation of a cascade of lymphoid expression programs and for the establishment of lymphoid potential from the HSC to the LMPP it is also responsible for the repression of stem cell and erythroid genetic programs that are incompatible with further lineage restrictions emanating from the LMPP "}
{"STANDARD_NAME":"GSE15330_HSC_VS_MEGAKARYOCYTE_ERYTHROID_PROGENITOR_IKAROS_KO_UP","SYSTEMATIC_NAME":"M7020","ORGANISM":"Mus musculus","PMID":"19345118","AUTHORS":"Ng SY,Yoshida T,Zhang J,Georgopoulos K","GEOID":"GSE15330","EXACT_SOURCE":"GSE15330_2825_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in IKZF1 [GeneID=10320] knockout: hematopoietic stem cells versus megakaryo-erythrocyte progenitors.","DESCRIPTION_FULL":"Regulation of lineage potential and transcriptional priming by Ikaros. New insight is provided into a bivalent regulation of lineage priming in the HSC and its lympho-myeloid restricted progeny the LMPP by the lymphoid lineage-determining factor Ikaros Whereas Ikaros is responsible for the activation of a cascade of lymphoid expression programs and for the establishment of lymphoid potential from the HSC to the LMPP it is also responsible for the repression of stem cell and erythroid genetic programs that are incompatible with further lineage restrictions emanating from the LMPP "}
{"STANDARD_NAME":"GSE15330_LYMPHOID_MULTIPOTENT_VS_GRANULOCYTE_MONOCYTE_PROGENITOR_UP","SYSTEMATIC_NAME":"M7021","ORGANISM":"Mus musculus","PMID":"19345118","AUTHORS":"Ng SY,Yoshida T,Zhang J,Georgopoulos K","GEOID":"GSE15330","EXACT_SOURCE":"GSE15330_2819_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in lymphoid-primed multipotent progenitors versus granulo-monocyte progenitors.","DESCRIPTION_FULL":"Regulation of lineage potential and transcriptional priming by Ikaros. New insight is provided into a bivalent regulation of lineage priming in the HSC and its lympho-myeloid restricted progeny the LMPP by the lymphoid lineage-determining factor Ikaros Whereas Ikaros is responsible for the activation of a cascade of lymphoid expression programs and for the establishment of lymphoid potential from the HSC to the LMPP it is also responsible for the repression of stem cell and erythroid genetic programs that are incompatible with further lineage restrictions emanating from the LMPP "}
{"STANDARD_NAME":"GSE15330_HSC_VS_GRANULOCYTE_MONOCYTE_PROGENITOR_IKAROS_KO_UP","SYSTEMATIC_NAME":"M7022","ORGANISM":"Mus musculus","PMID":"19345118","AUTHORS":"Ng SY,Yoshida T,Zhang J,Georgopoulos K","GEOID":"GSE15330","EXACT_SOURCE":"GSE15330_2826_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in IKZF1 [GeneID=10320] knockout: hematopoietic stem cells versus granulo-monocyte progenitors.","DESCRIPTION_FULL":"Regulation of lineage potential and transcriptional priming by Ikaros. New insight is provided into a bivalent regulation of lineage priming in the HSC and its lympho-myeloid restricted progeny the LMPP by the lymphoid lineage-determining factor Ikaros Whereas Ikaros is responsible for the activation of a cascade of lymphoid expression programs and for the establishment of lymphoid potential from the HSC to the LMPP it is also responsible for the repression of stem cell and erythroid genetic programs that are incompatible with further lineage restrictions emanating from the LMPP "}
{"STANDARD_NAME":"GSE15330_HSC_VS_GRANULOCYTE_MONOCYTE_PROGENITOR_IKAROS_KO_DN","SYSTEMATIC_NAME":"M7025","ORGANISM":"Mus musculus","PMID":"19345118","AUTHORS":"Ng SY,Yoshida T,Zhang J,Georgopoulos K","GEOID":"GSE15330","EXACT_SOURCE":"GSE15330_2826_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in IKZF1 [GeneID=10320] knockout: hematopoietic stem cells versus granulo-monocyte progenitors.","DESCRIPTION_FULL":"Regulation of lineage potential and transcriptional priming by Ikaros. New insight is provided into a bivalent regulation of lineage priming in the HSC and its lympho-myeloid restricted progeny the LMPP by the lymphoid lineage-determining factor Ikaros Whereas Ikaros is responsible for the activation of a cascade of lymphoid expression programs and for the establishment of lymphoid potential from the HSC to the LMPP it is also responsible for the repression of stem cell and erythroid genetic programs that are incompatible with further lineage restrictions emanating from the LMPP "}
{"STANDARD_NAME":"GSE15330_MEGAKARYOCYTE_ERYTHROID_VS_GRANULOCYTE_MONOCYTE_PROGENITOR_DN","SYSTEMATIC_NAME":"M7026","ORGANISM":"Mus musculus","PMID":"19345118","AUTHORS":"Ng SY,Yoshida T,Zhang J,Georgopoulos K","GEOID":"GSE15330","EXACT_SOURCE":"GSE15330_2818_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in megakaryo-erythrocyte progenitors versus granulo-monocyte progenitors.","DESCRIPTION_FULL":"Regulation of lineage potential and transcriptional priming by Ikaros. New insight is provided into a bivalent regulation of lineage priming in the HSC and its lympho-myeloid restricted progeny the LMPP by the lymphoid lineage-determining factor Ikaros Whereas Ikaros is responsible for the activation of a cascade of lymphoid expression programs and for the establishment of lymphoid potential from the HSC to the LMPP it is also responsible for the repression of stem cell and erythroid genetic programs that are incompatible with further lineage restrictions emanating from the LMPP "}
{"STANDARD_NAME":"GSE15330_WT_VS_IKAROS_KO_GRANULOCYTE_MONOCYTE_PROGENITOR_UP","SYSTEMATIC_NAME":"M7027","ORGANISM":"Mus musculus","PMID":"19345118","AUTHORS":"Ng SY,Yoshida T,Zhang J,Georgopoulos K","GEOID":"GSE15330","EXACT_SOURCE":"GSE15330_2830_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in granulo-monocyte progenitors: wildtype versus IKZF1 [GeneID=10320] knockout.","DESCRIPTION_FULL":"Regulation of lineage potential and transcriptional priming by Ikaros. New insight is provided into a bivalent regulation of lineage priming in the HSC and its lympho-myeloid restricted progeny the LMPP by the lymphoid lineage-determining factor Ikaros Whereas Ikaros is responsible for the activation of a cascade of lymphoid expression programs and for the establishment of lymphoid potential from the HSC to the LMPP it is also responsible for the repression of stem cell and erythroid genetic programs that are incompatible with further lineage restrictions emanating from the LMPP "}
{"STANDARD_NAME":"GSE15330_WT_VS_IKAROS_KO_GRANULOCYTE_MONOCYTE_PROGENITOR_DN","SYSTEMATIC_NAME":"M7028","ORGANISM":"Mus musculus","PMID":"19345118","AUTHORS":"Ng SY,Yoshida T,Zhang J,Georgopoulos K","GEOID":"GSE15330","EXACT_SOURCE":"GSE15330_2830_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in granulo-monocyte progenitors: wildtype versus IKZF1 [GeneID=10320] knockout.","DESCRIPTION_FULL":"Regulation of lineage potential and transcriptional priming by Ikaros. New insight is provided into a bivalent regulation of lineage priming in the HSC and its lympho-myeloid restricted progeny the LMPP by the lymphoid lineage-determining factor Ikaros Whereas Ikaros is responsible for the activation of a cascade of lymphoid expression programs and for the establishment of lymphoid potential from the HSC to the LMPP it is also responsible for the repression of stem cell and erythroid genetic programs that are incompatible with further lineage restrictions emanating from the LMPP "}
{"STANDARD_NAME":"GSE15330_LYMPHOID_MULTIPOTENT_VS_MEGAKARYOCYTE_ERYTHROID_PROGENITOR_UP","SYSTEMATIC_NAME":"M7031","ORGANISM":"Mus musculus","PMID":"19345118","AUTHORS":"Ng SY,Yoshida T,Zhang J,Georgopoulos K","GEOID":"GSE15330","EXACT_SOURCE":"GSE15330_2831_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in lymphoid-primed multipotent progenitors versus megakaryo-erythrocyte progenitors.","DESCRIPTION_FULL":"Regulation of lineage potential and transcriptional priming by Ikaros. New insight is provided into a bivalent regulation of lineage priming in the HSC and its lympho-myeloid restricted progeny the LMPP by the lymphoid lineage-determining factor Ikaros Whereas Ikaros is responsible for the activation of a cascade of lymphoid expression programs and for the establishment of lymphoid potential from the HSC to the LMPP it is also responsible for the repression of stem cell and erythroid genetic programs that are incompatible with further lineage restrictions emanating from the LMPP "}
{"STANDARD_NAME":"GSE15330_MEGAKARYOCYTE_ERYTHROID_VS_GRANULOCYTE_MONOCYTE_PROGENITOR_IKAROS_KO_DN","SYSTEMATIC_NAME":"M7033","ORGANISM":"Mus musculus","PMID":"19345118","AUTHORS":"Ng SY,Yoshida T,Zhang J,Georgopoulos K","GEOID":"GSE15330","EXACT_SOURCE":"GSE15330_2839_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in IKZF1 [GeneID=10320] knockout: megakaryo-erythrocyte progenitors versus granulo-monocyte progenitors.","DESCRIPTION_FULL":"Regulation of lineage potential and transcriptional priming by Ikaros. New insight is provided into a bivalent regulation of lineage priming in the HSC and its lympho-myeloid restricted progeny the LMPP by the lymphoid lineage-determining factor Ikaros Whereas Ikaros is responsible for the activation of a cascade of lymphoid expression programs and for the establishment of lymphoid potential from the HSC to the LMPP it is also responsible for the repression of stem cell and erythroid genetic programs that are incompatible with further lineage restrictions emanating from the LMPP "}
{"STANDARD_NAME":"GSE15330_HSC_VS_LYMPHOID_PRIMED_MULTIPOTENT_PROGENITOR_IKAROS_KO_DN","SYSTEMATIC_NAME":"M7035","ORGANISM":"Mus musculus","PMID":"19345118","AUTHORS":"Ng SY,Yoshida T,Zhang J,Georgopoulos K","GEOID":"GSE15330","EXACT_SOURCE":"GSE15330_2824_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in IKZF1 [GeneID=10320] knockout: hematopoietic stem cells versus lymphoid-primed multipotent progenitors.","DESCRIPTION_FULL":"Regulation of lineage potential and transcriptional priming by Ikaros. New insight is provided into a bivalent regulation of lineage priming in the HSC and its lympho-myeloid restricted progeny the LMPP by the lymphoid lineage-determining factor Ikaros Whereas Ikaros is responsible for the activation of a cascade of lymphoid expression programs and for the establishment of lymphoid potential from the HSC to the LMPP it is also responsible for the repression of stem cell and erythroid genetic programs that are incompatible with further lineage restrictions emanating from the LMPP "}
{"STANDARD_NAME":"GSE15330_WT_VS_IKAROS_KO_HSC_DN","SYSTEMATIC_NAME":"M7036","ORGANISM":"Mus musculus","PMID":"19345118","AUTHORS":"Ng SY,Yoshida T,Zhang J,Georgopoulos K","GEOID":"GSE15330","EXACT_SOURCE":"GSE15330_2827_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in hematopoietic stem cells: wildtype versus IKZF1 [GeneID=10320] knockout.","DESCRIPTION_FULL":"Regulation of lineage potential and transcriptional priming by Ikaros. New insight is provided into a bivalent regulation of lineage priming in the HSC and its lympho-myeloid restricted progeny the LMPP by the lymphoid lineage-determining factor Ikaros Whereas Ikaros is responsible for the activation of a cascade of lymphoid expression programs and for the establishment of lymphoid potential from the HSC to the LMPP it is also responsible for the repression of stem cell and erythroid genetic programs that are incompatible with further lineage restrictions emanating from the LMPP "}
{"STANDARD_NAME":"GSE15330_WT_VS_IKAROS_KO_LYMPHOID_MULTIPOTENT_PROGENITOR_UP","SYSTEMATIC_NAME":"M7037","ORGANISM":"Mus musculus","PMID":"19345118","AUTHORS":"Ng SY,Yoshida T,Zhang J,Georgopoulos K","GEOID":"GSE15330","EXACT_SOURCE":"GSE15330_2828_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in lymphoid-primed multipotent progenitors: wildtype versus IKZF1 [GeneID=10320] knockout.","DESCRIPTION_FULL":"Regulation of lineage potential and transcriptional priming by Ikaros. New insight is provided into a bivalent regulation of lineage priming in the HSC and its lympho-myeloid restricted progeny the LMPP by the lymphoid lineage-determining factor Ikaros Whereas Ikaros is responsible for the activation of a cascade of lymphoid expression programs and for the establishment of lymphoid potential from the HSC to the LMPP it is also responsible for the repression of stem cell and erythroid genetic programs that are incompatible with further lineage restrictions emanating from the LMPP "}
{"STANDARD_NAME":"GSE15330_WT_VS_IKAROS_KO_MEGAKARYOCYTE_ERYTHROID_PROGENITOR_UP","SYSTEMATIC_NAME":"M7039","ORGANISM":"Mus musculus","PMID":"19345118","AUTHORS":"Ng SY,Yoshida T,Zhang J,Georgopoulos K","GEOID":"GSE15330","EXACT_SOURCE":"GSE15330_2829_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in megakaryo-erythrocyte progenitors: wildtype versus IKZF1 [GeneID=10320] knockout.","DESCRIPTION_FULL":"Regulation of lineage potential and transcriptional priming by Ikaros. New insight is provided into a bivalent regulation of lineage priming in the HSC and its lympho-myeloid restricted progeny the LMPP by the lymphoid lineage-determining factor Ikaros Whereas Ikaros is responsible for the activation of a cascade of lymphoid expression programs and for the establishment of lymphoid potential from the HSC to the LMPP it is also responsible for the repression of stem cell and erythroid genetic programs that are incompatible with further lineage restrictions emanating from the LMPP "}
{"STANDARD_NAME":"GSE15330_WT_VS_IKAROS_KO_HSC_UP","SYSTEMATIC_NAME":"M7040","ORGANISM":"Mus musculus","PMID":"19345118","AUTHORS":"Ng SY,Yoshida T,Zhang J,Georgopoulos K","GEOID":"GSE15330","EXACT_SOURCE":"GSE15330_2827_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in hematopoietic stem cells: wildtype versus IKZF1 [GeneID=10320] knockout.","DESCRIPTION_FULL":"Regulation of lineage potential and transcriptional priming by Ikaros. New insight is provided into a bivalent regulation of lineage priming in the HSC and its lympho-myeloid restricted progeny the LMPP by the lymphoid lineage-determining factor Ikaros Whereas Ikaros is responsible for the activation of a cascade of lymphoid expression programs and for the establishment of lymphoid potential from the HSC to the LMPP it is also responsible for the repression of stem cell and erythroid genetic programs that are incompatible with further lineage restrictions emanating from the LMPP "}
{"STANDARD_NAME":"GSE15330_GRANULOCYTE_MONOCYTE_PROGENITOR_VS_PRO_BCELL_UP","SYSTEMATIC_NAME":"M7041","ORGANISM":"Mus musculus","PMID":"19345118","AUTHORS":"Ng SY,Yoshida T,Zhang J,Georgopoulos K","GEOID":"GSE15330","EXACT_SOURCE":"GSE15330_2838_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in granulo-monocyte progenitors versus pro-B lymphocytes.","DESCRIPTION_FULL":"Regulation of lineage potential and transcriptional priming by Ikaros. New insight is provided into a bivalent regulation of lineage priming in the HSC and its lympho-myeloid restricted progeny the LMPP by the lymphoid lineage-determining factor Ikaros Whereas Ikaros is responsible for the activation of a cascade of lymphoid expression programs and for the establishment of lymphoid potential from the HSC to the LMPP it is also responsible for the repression of stem cell and erythroid genetic programs that are incompatible with further lineage restrictions emanating from the LMPP "}
{"STANDARD_NAME":"GSE15330_GRANULOCYTE_MONOCYTE_PROGENITOR_VS_PRO_BCELL_DN","SYSTEMATIC_NAME":"M7042","ORGANISM":"Mus musculus","PMID":"19345118","AUTHORS":"Ng SY,Yoshida T,Zhang J,Georgopoulos K","GEOID":"GSE15330","EXACT_SOURCE":"GSE15330_2838_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in granulo-monocyte progenitors versus pro-B lymphocytes.","DESCRIPTION_FULL":"Regulation of lineage potential and transcriptional priming by Ikaros. New insight is provided into a bivalent regulation of lineage priming in the HSC and its lympho-myeloid restricted progeny the LMPP by the lymphoid lineage-determining factor Ikaros Whereas Ikaros is responsible for the activation of a cascade of lymphoid expression programs and for the establishment of lymphoid potential from the HSC to the LMPP it is also responsible for the repression of stem cell and erythroid genetic programs that are incompatible with further lineage restrictions emanating from the LMPP "}
{"STANDARD_NAME":"GSE15330_MEGAKARYOCYTE_ERYTHROID_VS_GRANULOCYTE_MONOCYTE_PROGENITOR_IKAROS_KO_UP","SYSTEMATIC_NAME":"M7043","ORGANISM":"Mus musculus","PMID":"19345118","AUTHORS":"Ng SY,Yoshida T,Zhang J,Georgopoulos K","GEOID":"GSE15330","EXACT_SOURCE":"GSE15330_2839_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in IKZF1 [GeneID=10320] knockout: megakaryo-erythrocyte progenitors versus granulo-monocyte progenitors.","DESCRIPTION_FULL":"Regulation of lineage potential and transcriptional priming by Ikaros. New insight is provided into a bivalent regulation of lineage priming in the HSC and its lympho-myeloid restricted progeny the LMPP by the lymphoid lineage-determining factor Ikaros Whereas Ikaros is responsible for the activation of a cascade of lymphoid expression programs and for the establishment of lymphoid potential from the HSC to the LMPP it is also responsible for the repression of stem cell and erythroid genetic programs that are incompatible with further lineage restrictions emanating from the LMPP "}
{"STANDARD_NAME":"GSE15330_WT_VS_IKAROS_KO_MEGAKARYOCYTE_ERYTHROID_PROGENITOR_DN","SYSTEMATIC_NAME":"M7044","ORGANISM":"Mus musculus","PMID":"19345118","AUTHORS":"Ng SY,Yoshida T,Zhang J,Georgopoulos K","GEOID":"GSE15330","EXACT_SOURCE":"GSE15330_2829_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in megakaryo-erythrocyte progenitors: wildtype versus IKZF1 [GeneID=10320] knockout.","DESCRIPTION_FULL":"Regulation of lineage potential and transcriptional priming by Ikaros. New insight is provided into a bivalent regulation of lineage priming in the HSC and its lympho-myeloid restricted progeny the LMPP by the lymphoid lineage-determining factor Ikaros Whereas Ikaros is responsible for the activation of a cascade of lymphoid expression programs and for the establishment of lymphoid potential from the HSC to the LMPP it is also responsible for the repression of stem cell and erythroid genetic programs that are incompatible with further lineage restrictions emanating from the LMPP "}
{"STANDARD_NAME":"GSE15330_MEGAKARYOCYTE_ERYTHROID_PROGENITOR_VS_PRO_BCELL_DN","SYSTEMATIC_NAME":"M7045","ORGANISM":"Mus musculus","PMID":"19345118","AUTHORS":"Ng SY,Yoshida T,Zhang J,Georgopoulos K","GEOID":"GSE15330","EXACT_SOURCE":"GSE15330_2837_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in megakaryo-erythrocyte progenitors versus pro-B lymphocytes.","DESCRIPTION_FULL":"Regulation of lineage potential and transcriptional priming by Ikaros. New insight is provided into a bivalent regulation of lineage priming in the HSC and its lympho-myeloid restricted progeny the LMPP by the lymphoid lineage-determining factor Ikaros Whereas Ikaros is responsible for the activation of a cascade of lymphoid expression programs and for the establishment of lymphoid potential from the HSC to the LMPP it is also responsible for the repression of stem cell and erythroid genetic programs that are incompatible with further lineage restrictions emanating from the LMPP "}
{"STANDARD_NAME":"GSE15330_LYMPHOID_MULTIPOTENT_VS_GRANULOCYTE_MONOCYTE_PROGENITOR_IKAROS_KO_UP","SYSTEMATIC_NAME":"M7046","ORGANISM":"Mus musculus","PMID":"19345118","AUTHORS":"Ng SY,Yoshida T,Zhang J,Georgopoulos K","GEOID":"GSE15330","EXACT_SOURCE":"GSE15330_2835_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in IKZF1 [GeneID=10320] knockout: lymphoid-primed multipotent progenitors versus granulo-monocyte progenitors.","DESCRIPTION_FULL":"Regulation of lineage potential and transcriptional priming by Ikaros. New insight is provided into a bivalent regulation of lineage priming in the HSC and its lympho-myeloid restricted progeny the LMPP by the lymphoid lineage-determining factor Ikaros Whereas Ikaros is responsible for the activation of a cascade of lymphoid expression programs and for the establishment of lymphoid potential from the HSC to the LMPP it is also responsible for the repression of stem cell and erythroid genetic programs that are incompatible with further lineage restrictions emanating from the LMPP "}
{"STANDARD_NAME":"GSE15330_LYMPHOID_MULTIPOTENT_VS_GRANULOCYTE_MONOCYTE_PROGENITOR_IKAROS_KO_DN","SYSTEMATIC_NAME":"M7049","ORGANISM":"Mus musculus","PMID":"19345118","AUTHORS":"Ng SY,Yoshida T,Zhang J,Georgopoulos K","GEOID":"GSE15330","EXACT_SOURCE":"GSE15330_2835_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in IKZF1 [GeneID=10320] knockout: lymphoid-primed multipotent progenitors versus granulo-monocyte progenitors.","DESCRIPTION_FULL":"Regulation of lineage potential and transcriptional priming by Ikaros. New insight is provided into a bivalent regulation of lineage priming in the HSC and its lympho-myeloid restricted progeny the LMPP by the lymphoid lineage-determining factor Ikaros Whereas Ikaros is responsible for the activation of a cascade of lymphoid expression programs and for the establishment of lymphoid potential from the HSC to the LMPP it is also responsible for the repression of stem cell and erythroid genetic programs that are incompatible with further lineage restrictions emanating from the LMPP "}
{"STANDARD_NAME":"GSE15330_HSC_VS_LYMPHOID_PRIMED_MULTIPOTENT_PROGENITOR_IKAROS_KO_UP","SYSTEMATIC_NAME":"M7050","ORGANISM":"Mus musculus","PMID":"19345118","AUTHORS":"Ng SY,Yoshida T,Zhang J,Georgopoulos K","GEOID":"GSE15330","EXACT_SOURCE":"GSE15330_2824_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in IKZF1 [GeneID=10320] knockout: hematopoietic stem cells versus lymphoid-primed multipotent progenitors.","DESCRIPTION_FULL":"Regulation of lineage potential and transcriptional priming by Ikaros. New insight is provided into a bivalent regulation of lineage priming in the HSC and its lympho-myeloid restricted progeny the LMPP by the lymphoid lineage-determining factor Ikaros Whereas Ikaros is responsible for the activation of a cascade of lymphoid expression programs and for the establishment of lymphoid potential from the HSC to the LMPP it is also responsible for the repression of stem cell and erythroid genetic programs that are incompatible with further lineage restrictions emanating from the LMPP "}
{"STANDARD_NAME":"GSE15330_MEGAKARYOCYTE_ERYTHROID_PROGENITOR_VS_PRO_BCELL_UP","SYSTEMATIC_NAME":"M7053","ORGANISM":"Mus musculus","PMID":"19345118","AUTHORS":"Ng SY,Yoshida T,Zhang J,Georgopoulos K","GEOID":"GSE15330","EXACT_SOURCE":"GSE15330_2837_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in megakaryo-erythrocyte progenitors versus pro-B lymphocytes.","DESCRIPTION_FULL":"Regulation of lineage potential and transcriptional priming by Ikaros. New insight is provided into a bivalent regulation of lineage priming in the HSC and its lympho-myeloid restricted progeny the LMPP by the lymphoid lineage-determining factor Ikaros Whereas Ikaros is responsible for the activation of a cascade of lymphoid expression programs and for the establishment of lymphoid potential from the HSC to the LMPP it is also responsible for the repression of stem cell and erythroid genetic programs that are incompatible with further lineage restrictions emanating from the LMPP "}
{"STANDARD_NAME":"GSE15330_HSC_VS_GRANULOCYTE_MONOCYTE_PROGENITOR_DN","SYSTEMATIC_NAME":"M7055","ORGANISM":"Mus musculus","PMID":"19345118","AUTHORS":"Ng SY,Yoshida T,Zhang J,Georgopoulos K","GEOID":"GSE15330","EXACT_SOURCE":"GSE15330_2822_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in hematopoietic stem cells versus granulo-monocyte progenitors.","DESCRIPTION_FULL":"Regulation of lineage potential and transcriptional priming by Ikaros. New insight is provided into a bivalent regulation of lineage priming in the HSC and its lympho-myeloid restricted progeny the LMPP by the lymphoid lineage-determining factor Ikaros Whereas Ikaros is responsible for the activation of a cascade of lymphoid expression programs and for the establishment of lymphoid potential from the HSC to the LMPP it is also responsible for the repression of stem cell and erythroid genetic programs that are incompatible with further lineage restrictions emanating from the LMPP "}
{"STANDARD_NAME":"GSE15330_HSC_VS_PRO_BCELL_UP","SYSTEMATIC_NAME":"M7056","ORGANISM":"Mus musculus","PMID":"19345118","AUTHORS":"Ng SY,Yoshida T,Zhang J,Georgopoulos K","GEOID":"GSE15330","EXACT_SOURCE":"GSE15330_2823_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in hematopoietic stem cells versus pro-B lymphocytes.","DESCRIPTION_FULL":"Regulation of lineage potential and transcriptional priming by Ikaros. New insight is provided into a bivalent regulation of lineage priming in the HSC and its lympho-myeloid restricted progeny the LMPP by the lymphoid lineage-determining factor Ikaros Whereas Ikaros is responsible for the activation of a cascade of lymphoid expression programs and for the establishment of lymphoid potential from the HSC to the LMPP it is also responsible for the repression of stem cell and erythroid genetic programs that are incompatible with further lineage restrictions emanating from the LMPP "}
{"STANDARD_NAME":"GSE15330_WT_VS_IKAROS_KO_LYMPHOID_MULTIPOTENT_PROGENITOR_DN","SYSTEMATIC_NAME":"M7058","ORGANISM":"Mus musculus","PMID":"19345118","AUTHORS":"Ng SY,Yoshida T,Zhang J,Georgopoulos K","GEOID":"GSE15330","EXACT_SOURCE":"GSE15330_2828_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in lymphoid-primed multipotent progenitors: wildtype versus IKZF1 [GeneID=10320] knockout.","DESCRIPTION_FULL":"Regulation of lineage potential and transcriptional priming by Ikaros. New insight is provided into a bivalent regulation of lineage priming in the HSC and its lympho-myeloid restricted progeny the LMPP by the lymphoid lineage-determining factor Ikaros Whereas Ikaros is responsible for the activation of a cascade of lymphoid expression programs and for the establishment of lymphoid potential from the HSC to the LMPP it is also responsible for the repression of stem cell and erythroid genetic programs that are incompatible with further lineage restrictions emanating from the LMPP "}
{"STANDARD_NAME":"GSE15330_LYMPHOID_MULTIPOTENT_VS_GRANULOCYTE_MONOCYTE_PROGENITOR_DN","SYSTEMATIC_NAME":"M7059","ORGANISM":"Mus musculus","PMID":"19345118","AUTHORS":"Ng SY,Yoshida T,Zhang J,Georgopoulos K","GEOID":"GSE15330","EXACT_SOURCE":"GSE15330_2819_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in lymphoid-primed multipotent progenitors versus granulo-monocyte progenitors.","DESCRIPTION_FULL":"Regulation of lineage potential and transcriptional priming by Ikaros. New insight is provided into a bivalent regulation of lineage priming in the HSC and its lympho-myeloid restricted progeny the LMPP by the lymphoid lineage-determining factor Ikaros Whereas Ikaros is responsible for the activation of a cascade of lymphoid expression programs and for the establishment of lymphoid potential from the HSC to the LMPP it is also responsible for the repression of stem cell and erythroid genetic programs that are incompatible with further lineage restrictions emanating from the LMPP "}
{"STANDARD_NAME":"GSE15330_HSC_VS_GRANULOCYTE_MONOCYTE_PROGENITOR_UP","SYSTEMATIC_NAME":"M7060","ORGANISM":"Mus musculus","PMID":"19345118","AUTHORS":"Ng SY,Yoshida T,Zhang J,Georgopoulos K","GEOID":"GSE15330","EXACT_SOURCE":"GSE15330_2822_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in hematopoietic stem cells versus granulo-monocyte progenitors.","DESCRIPTION_FULL":"Regulation of lineage potential and transcriptional priming by Ikaros. New insight is provided into a bivalent regulation of lineage priming in the HSC and its lympho-myeloid restricted progeny the LMPP by the lymphoid lineage-determining factor Ikaros Whereas Ikaros is responsible for the activation of a cascade of lymphoid expression programs and for the establishment of lymphoid potential from the HSC to the LMPP it is also responsible for the repression of stem cell and erythroid genetic programs that are incompatible with further lineage restrictions emanating from the LMPP "}
{"STANDARD_NAME":"GSE15330_HSC_VS_PRO_BCELL_DN","SYSTEMATIC_NAME":"M7063","ORGANISM":"Mus musculus","PMID":"19345118","AUTHORS":"Ng SY,Yoshida T,Zhang J,Georgopoulos K","GEOID":"GSE15330","EXACT_SOURCE":"GSE15330_2823_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in hematopoietic stem cells versus pro-B lymphocytes.","DESCRIPTION_FULL":"Regulation of lineage potential and transcriptional priming by Ikaros. New insight is provided into a bivalent regulation of lineage priming in the HSC and its lympho-myeloid restricted progeny the LMPP by the lymphoid lineage-determining factor Ikaros Whereas Ikaros is responsible for the activation of a cascade of lymphoid expression programs and for the establishment of lymphoid potential from the HSC to the LMPP it is also responsible for the repression of stem cell and erythroid genetic programs that are incompatible with further lineage restrictions emanating from the LMPP "}
{"STANDARD_NAME":"GSE12198_LOW_IL2_STIM_NK_CELL_VS_HIGH_IL2_STIM_NK_CELL_UP","SYSTEMATIC_NAME":"M7064","ORGANISM":"Homo sapiens","PMID":"19383914","AUTHORS":"Fujisaki H,Kakuda H,Shimasaki N,Imai C,Ma J,Lockey T,Eldridge P,Leung WH,Campana D","GEOID":"GSE12198","EXACT_SOURCE":"GSE12198_3191_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in NK cells: low dose versus high dose of IL2 [GeneID=3558].","DESCRIPTION_FULL":"Transcriptional profiling of NKAES-derived NK cells after 7 days of culture compared to primary human NK cells and NK cells stimulated by low or high dose IL2 after 7 days of culture."}
{"STANDARD_NAME":"GSE12198_NK_VS_NK_ACT_EXPANSION_SYSTEM_DERIVED_NK_CELL_DN","SYSTEMATIC_NAME":"M7065","ORGANISM":"Homo sapiens","PMID":"19383914","AUTHORS":"Fujisaki H,Kakuda H,Shimasaki N,Imai C,Ma J,Lockey T,Eldridge P,Leung WH,Campana D","GEOID":"GSE12198","EXACT_SOURCE":"GSE12198_3188_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in NK cells: primary versus activated and expanded.","DESCRIPTION_FULL":"Transcriptional profiling of NKAES-derived NK cells after 7 days of culture compared to primary human NK cells and NK cells stimulated by low or high dose IL2 after 7 days of culture."}
{"STANDARD_NAME":"GSE12198_LOW_IL2_STIM_NK_CELL_VS_HIGH_IL2_STIM_NK_CELL_DN","SYSTEMATIC_NAME":"M7066","ORGANISM":"Homo sapiens","PMID":"19383914","AUTHORS":"Fujisaki H,Kakuda H,Shimasaki N,Imai C,Ma J,Lockey T,Eldridge P,Leung WH,Campana D","GEOID":"GSE12198","EXACT_SOURCE":"GSE12198_3191_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in NK cells: low dose versus high dose of IL2 [GeneID=3558].","DESCRIPTION_FULL":"Transcriptional profiling of NKAES-derived NK cells after 7 days of culture compared to primary human NK cells and NK cells stimulated by low or high dose IL2 after 7 days of culture."}
{"STANDARD_NAME":"GSE12198_CTRL_VS_HIGH_IL2_STIM_NK_CELL_UP","SYSTEMATIC_NAME":"M7067","ORGANISM":"Homo sapiens","PMID":"19383914","AUTHORS":"Fujisaki H,Kakuda H,Shimasaki N,Imai C,Ma J,Lockey T,Eldridge P,Leung WH,Campana D","GEOID":"GSE12198","EXACT_SOURCE":"GSE12198_3190_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in NK cells: primary versus stimulated by high dose of IL2 [GeneID=3558].","DESCRIPTION_FULL":"Transcriptional profiling of NKAES-derived NK cells after 7 days of culture compared to primary human NK cells and NK cells stimulated by low or high dose IL2 after 7 days of culture."}
{"STANDARD_NAME":"GSE12198_CTRL_VS_HIGH_IL2_STIM_NK_CELL_DN","SYSTEMATIC_NAME":"M7070","ORGANISM":"Homo sapiens","PMID":"19383914","AUTHORS":"Fujisaki H,Kakuda H,Shimasaki N,Imai C,Ma J,Lockey T,Eldridge P,Leung WH,Campana D","GEOID":"GSE12198","EXACT_SOURCE":"GSE12198_3190_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in NK cells: primary versus stimulated by high dose of IL2 [GeneID=3558].","DESCRIPTION_FULL":"Transcriptional profiling of NKAES-derived NK cells after 7 days of culture compared to primary human NK cells and NK cells stimulated by low or high dose IL2 after 7 days of culture."}
{"STANDARD_NAME":"GSE12198_NK_VS_NK_ACT_EXPANSION_SYSTEM_DERIVED_NK_CELL_UP","SYSTEMATIC_NAME":"M7072","ORGANISM":"Homo sapiens","PMID":"19383914","AUTHORS":"Fujisaki H,Kakuda H,Shimasaki N,Imai C,Ma J,Lockey T,Eldridge P,Leung WH,Campana D","GEOID":"GSE12198","EXACT_SOURCE":"GSE12198_3188_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in NK cells: primary versus activated and expanded.","DESCRIPTION_FULL":"Transcriptional profiling of NKAES-derived NK cells after 7 days of culture compared to primary human NK cells and NK cells stimulated by low or high dose IL2 after 7 days of culture."}
{"STANDARD_NAME":"GSE12198_CTRL_VS_LOW_IL2_STIM_NK_CELL_UP","SYSTEMATIC_NAME":"M7073","ORGANISM":"Homo sapiens","PMID":"19383914","AUTHORS":"Fujisaki H,Kakuda H,Shimasaki N,Imai C,Ma J,Lockey T,Eldridge P,Leung WH,Campana D","GEOID":"GSE12198","EXACT_SOURCE":"GSE12198_3189_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in NK cells: primary versus stimulated by low dose of IL2 [GeneID=3558].","DESCRIPTION_FULL":"Transcriptional profiling of NKAES-derived NK cells after 7 days of culture compared to primary human NK cells and NK cells stimulated by low or high dose IL2 after 7 days of culture."}
{"STANDARD_NAME":"GSE12198_CTRL_VS_LOW_IL2_STIM_NK_CELL_DN","SYSTEMATIC_NAME":"M7074","ORGANISM":"Homo sapiens","PMID":"19383914","AUTHORS":"Fujisaki H,Kakuda H,Shimasaki N,Imai C,Ma J,Lockey T,Eldridge P,Leung WH,Campana D","GEOID":"GSE12198","EXACT_SOURCE":"GSE12198_3189_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in NK cells: primary versus stimulated by low dose of IL2 [GeneID=3558].","DESCRIPTION_FULL":"Transcriptional profiling of NKAES-derived NK cells after 7 days of culture compared to primary human NK cells and NK cells stimulated by low or high dose IL2 after 7 days of culture."}
{"STANDARD_NAME":"GSE14908_RESTING_VS_HDM_STIM_CD4_TCELL_ATOPIC_PATIENT_DN","SYSTEMATIC_NAME":"M7075","ORGANISM":"Homo sapiens","PMID":"19414752","AUTHORS":"Bosco A,McKenna KL,Firth MJ,Sly PD,Holt PG","GEOID":"GSE14908","EXACT_SOURCE":"GSE14908_3607_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells from atopic patients: resting versus stimulated with allergen (house dust mite).","DESCRIPTION_FULL":"The aim of this study was to employ a systems-level analysis to elucidate gene expression networks operating in the CD4 T-cell responses which underpin human atopic disease. "}
{"STANDARD_NAME":"GSE14908_RESTING_VS_HDM_STIM_CD4_TCELL_ATOPIC_PATIENT_UP","SYSTEMATIC_NAME":"M7077","ORGANISM":"Homo sapiens","PMID":"19414752","AUTHORS":"Bosco A,McKenna KL,Firth MJ,Sly PD,Holt PG","GEOID":"GSE14908","EXACT_SOURCE":"GSE14908_3607_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells from atopic patients: resting versus stimulated with allergen (house dust mite).","DESCRIPTION_FULL":"The aim of this study was to employ a systems-level analysis to elucidate gene expression networks operating in the CD4 T-cell responses which underpin human atopic disease. "}
{"STANDARD_NAME":"GSE14908_RESTING_VS_HDM_STIM_CD4_TCELL_NONATOPIC_PATIENT_DN","SYSTEMATIC_NAME":"M7080","ORGANISM":"Homo sapiens","PMID":"19414752","AUTHORS":"Bosco A,McKenna KL,Firth MJ,Sly PD,Holt PG","GEOID":"GSE14908","EXACT_SOURCE":"GSE14908_3608_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells from non-atopic donors: resting versus stimulated with allergen (house dust mite).","DESCRIPTION_FULL":"The aim of this study was to employ a systems-level analysis to elucidate gene expression networks operating in the CD4 T-cell responses which underpin human atopic disease. "}
{"STANDARD_NAME":"GSE14908_ATOPIC_VS_NONATOPIC_PATIENT_RESTING_CD4_TCELL_DN","SYSTEMATIC_NAME":"M7083","ORGANISM":"Homo sapiens","PMID":"19414752","AUTHORS":"Bosco A,McKenna KL,Firth MJ,Sly PD,Holt PG","GEOID":"GSE14908","EXACT_SOURCE":"GSE14908_3609_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in resting CD4 [GeneID=920] T cells: atopy versus healthy.","DESCRIPTION_FULL":"The aim of this study was to employ a systems-level analysis to elucidate gene expression networks operating in the CD4 T-cell responses which underpin human atopic disease. "}
{"STANDARD_NAME":"GSE14908_RESTING_VS_HDM_STIM_CD4_TCELL_NONATOPIC_PATIENT_UP","SYSTEMATIC_NAME":"M7086","ORGANISM":"Homo sapiens","PMID":"19414752","AUTHORS":"Bosco A,McKenna KL,Firth MJ,Sly PD,Holt PG","GEOID":"GSE14908","EXACT_SOURCE":"GSE14908_3608_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells from non-atopic donors: resting versus stimulated with allergen (house dust mite).","DESCRIPTION_FULL":"The aim of this study was to employ a systems-level analysis to elucidate gene expression networks operating in the CD4 T-cell responses which underpin human atopic disease. "}
{"STANDARD_NAME":"GSE14908_ATOPIC_VS_NONATOPIC_PATIENT_HDM_STIM_CD4_TCELL_UP","SYSTEMATIC_NAME":"M7091","ORGANISM":"Homo sapiens","PMID":"19414752","AUTHORS":"Bosco A,McKenna KL,Firth MJ,Sly PD,Holt PG","GEOID":"GSE14908","EXACT_SOURCE":"GSE14908_3610_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells stimulated with allergen (house dust mite): atopy versus healthy.","DESCRIPTION_FULL":"The aim of this study was to employ a systems-level analysis to elucidate gene expression networks operating in the CD4 T-cell responses which underpin human atopic disease. "}
{"STANDARD_NAME":"GSE14908_ATOPIC_VS_NONATOPIC_PATIENT_RESTING_CD4_TCELL_UP","SYSTEMATIC_NAME":"M7092","ORGANISM":"Homo sapiens","PMID":"19414752","AUTHORS":"Bosco A,McKenna KL,Firth MJ,Sly PD,Holt PG","GEOID":"GSE14908","EXACT_SOURCE":"GSE14908_3609_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in resting CD4 [GeneID=920] T cells: atopy versus healthy.","DESCRIPTION_FULL":"The aim of this study was to employ a systems-level analysis to elucidate gene expression networks operating in the CD4 T-cell responses which underpin human atopic disease. "}
{"STANDARD_NAME":"GSE14908_ATOPIC_VS_NONATOPIC_PATIENT_HDM_STIM_CD4_TCELL_DN","SYSTEMATIC_NAME":"M7097","ORGANISM":"Homo sapiens","PMID":"19414752","AUTHORS":"Bosco A,McKenna KL,Firth MJ,Sly PD,Holt PG","GEOID":"GSE14908","EXACT_SOURCE":"GSE14908_3610_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells stimulated with allergen (house dust mite): atopy versus healthy.","DESCRIPTION_FULL":"The aim of this study was to employ a systems-level analysis to elucidate gene expression networks operating in the CD4 T-cell responses which underpin human atopic disease. "}
{"STANDARD_NAME":"GSE15139_GMCSF_TREATED_VS_UNTREATED_NEUTROPHILS_DN","SYSTEMATIC_NAME":"M7099","ORGANISM":"Homo sapiens","PMID":"19414807","AUTHORS":"Daryadel A,Yousefi S,Troi D,Schmid I,Schmidt-Mende J,Mordasini C,Dahinden CA,Ziemiecki A,Simon HU","GEOID":"GSE15139","EXACT_SOURCE":"GSE15139_2742_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in neutrophils treated with CSF2 [GeneID=1437] versus control.","DESCRIPTION_FULL":"The objective of this study was to compare the transcriptional repertoire of mature human neutrophils before and after GM-CSF treatment by using oligonucleotide microarrays. Leukotriene B4 (LTB4) is an important pro-inflammatory lipid mediator generated by neutrophils upon activation. Granulocyte/macrophage colony-stimulating factor (GM-CSF) stimulation is known to enhance agonist-mediated LTB4 production of neutrophils within minutes, a process called “priming”. Here, we demonstrate that GM-CSF also limits the production of LTB4 by neutrophils via a transcriptional mechanism at later time points. We identified hematopoietic specific Ras homologous (RhoH)/translocation three four (TTF), which was induced following GM-CSF stimulation in neutrophils, as a key regulator in this process. Neutrophils derived from RhoH/TTF-deficient (Rhoh-/-) mice demonstrated increased LTB4 production upon activation compared with normal mouse neutrophils. Moreover, neutrophils from cystic fibrosis patients expressed enhanced levels of RhoH/TTF and generated less LTB4 upon activation compared with normal human neutrophils. Taken together, these data suggest that RhoH/TTF represents an inducible feedback inhibitor in neutrophils that is involved in the limitation of innate immune responses."}
{"STANDARD_NAME":"GSE15139_GMCSF_TREATED_VS_UNTREATED_NEUTROPHILS_UP","SYSTEMATIC_NAME":"M7100","ORGANISM":"Homo sapiens","PMID":"19414807","AUTHORS":"Daryadel A,Yousefi S,Troi D,Schmid I,Schmidt-Mende J,Mordasini C,Dahinden CA,Ziemiecki A,Simon HU","GEOID":"GSE15139","EXACT_SOURCE":"GSE15139_2742_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in neutrophils treated with CSF2 [GeneID=1437] versus control.","DESCRIPTION_FULL":"The objective of this study was to compare the transcriptional repertoire of mature human neutrophils before and after GM-CSF treatment by using oligonucleotide microarrays. Leukotriene B4 (LTB4) is an important pro-inflammatory lipid mediator generated by neutrophils upon activation. Granulocyte/macrophage colony-stimulating factor (GM-CSF) stimulation is known to enhance agonist-mediated LTB4 production of neutrophils within minutes, a process called “priming”. Here, we demonstrate that GM-CSF also limits the production of LTB4 by neutrophils via a transcriptional mechanism at later time points. We identified hematopoietic specific Ras homologous (RhoH)/translocation three four (TTF), which was induced following GM-CSF stimulation in neutrophils, as a key regulator in this process. Neutrophils derived from RhoH/TTF-deficient (Rhoh-/-) mice demonstrated increased LTB4 production upon activation compared with normal mouse neutrophils. Moreover, neutrophils from cystic fibrosis patients expressed enhanced levels of RhoH/TTF and generated less LTB4 upon activation compared with normal human neutrophils. Taken together, these data suggest that RhoH/TTF represents an inducible feedback inhibitor in neutrophils that is involved in the limitation of innate immune responses."}
{"STANDARD_NAME":"GSE15271_CXCR4_POS_VS_NEG_GC_BCELL_DN","SYSTEMATIC_NAME":"M7101","ORGANISM":"Homo sapiens","PMID":"19494283","AUTHORS":"Caron G,Gallou Le S,Lamy T,Tarte K,Fest T","GEOID":"GSE15271","EXACT_SOURCE":"GSE15271_3464_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in centroblasts versus centrocytes.","DESCRIPTION_FULL":"Functional discrimination between normal centroblast and centrocyte obtained from human inflamed tonsils after cell sorting. We used microarrays to detail the segregation between these two B cell subsets"}
{"STANDARD_NAME":"GSE15271_CXCR4_POS_VS_NEG_GC_BCELL_UP","SYSTEMATIC_NAME":"M7103","ORGANISM":"Homo sapiens","PMID":"19494283","AUTHORS":"Caron G,Gallou Le S,Lamy T,Tarte K,Fest T","GEOID":"GSE15271","EXACT_SOURCE":"GSE15271_3464_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in centroblasts versus centrocytes.","DESCRIPTION_FULL":"Functional discrimination between normal centroblast and centrocyte obtained from human inflamed tonsils after cell sorting. We used microarrays to detail the segregation between these two B cell subsets"}
{"STANDARD_NAME":"GSE15624_3H_VS_6H_HALOFUGINONE_TREATED_CD4_TCELL_UP","SYSTEMATIC_NAME":"M7105","ORGANISM":"Mus musculus","PMID":"19498172","AUTHORS":"Sundrud MS,Koralov SB,Feuerer M,Calado DP,Kozhaya AE,Rhule-Smith A,Lefebvre RE,Unutmaz D,Mazitschek R,Waldner H,Whitman M,Keller T,Rao A","GEOID":"GSE15624","EXACT_SOURCE":"GSE15624_2677_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells treated with halofuginone [PubChem=400772]: 3h versus 6h.","DESCRIPTION_FULL":"T cell differentiation to the Th17 effector subset requires stimulation through the T cell and co-stimulatory receptors, together with cytokine stimulation by TGFb and IL-6. The small molecule halofuginone (HF) inhibits Th17 cell development and induces a pattern of stress-regulated gene expression that mimics amino acid starvation. We used global transcript profiling to ask how halofuginone modulates gene expression induced during T cell activaiton and Th17 differentiation "}
{"STANDARD_NAME":"GSE15624_CTRL_VS_6H_HALOFUGINONE_TREATED_CD4_TCELL_DN","SYSTEMATIC_NAME":"M7106","ORGANISM":"Mus musculus","PMID":"19498172","AUTHORS":"Sundrud MS,Koralov SB,Feuerer M,Calado DP,Kozhaya AE,Rhule-Smith A,Lefebvre RE,Unutmaz D,Mazitschek R,Waldner H,Whitman M,Keller T,Rao A","GEOID":"GSE15624","EXACT_SOURCE":"GSE15624_2676_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells: control versus treated with halofuginone [PubChem=400772] for 6h.","DESCRIPTION_FULL":"T cell differentiation to the Th17 effector subset requires stimulation through the T cell and co-stimulatory receptors, together with cytokine stimulation by TGFb and IL-6. The small molecule halofuginone (HF) inhibits Th17 cell development and induces a pattern of stress-regulated gene expression that mimics amino acid starvation. We used global transcript profiling to ask how halofuginone modulates gene expression induced during T cell activaiton and Th17 differentiation "}
{"STANDARD_NAME":"GSE15624_3H_VS_6H_HALOFUGINONE_TREATED_CD4_TCELL_DN","SYSTEMATIC_NAME":"M7109","ORGANISM":"Mus musculus","PMID":"19498172","AUTHORS":"Sundrud MS,Koralov SB,Feuerer M,Calado DP,Kozhaya AE,Rhule-Smith A,Lefebvre RE,Unutmaz D,Mazitschek R,Waldner H,Whitman M,Keller T,Rao A","GEOID":"GSE15624","EXACT_SOURCE":"GSE15624_2677_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells treated with halofuginone [PubChem=400772]: 3h versus 6h.","DESCRIPTION_FULL":"T cell differentiation to the Th17 effector subset requires stimulation through the T cell and co-stimulatory receptors, together with cytokine stimulation by TGFb and IL-6. The small molecule halofuginone (HF) inhibits Th17 cell development and induces a pattern of stress-regulated gene expression that mimics amino acid starvation. We used global transcript profiling to ask how halofuginone modulates gene expression induced during T cell activaiton and Th17 differentiation "}
{"STANDARD_NAME":"GSE15624_CTRL_VS_6H_HALOFUGINONE_TREATED_CD4_TCELL_UP","SYSTEMATIC_NAME":"M7111","ORGANISM":"Mus musculus","PMID":"19498172","AUTHORS":"Sundrud MS,Koralov SB,Feuerer M,Calado DP,Kozhaya AE,Rhule-Smith A,Lefebvre RE,Unutmaz D,Mazitschek R,Waldner H,Whitman M,Keller T,Rao A","GEOID":"GSE15624","EXACT_SOURCE":"GSE15624_2676_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells: control versus treated with halofuginone [PubChem=400772] for 6h.","DESCRIPTION_FULL":"T cell differentiation to the Th17 effector subset requires stimulation through the T cell and co-stimulatory receptors, together with cytokine stimulation by TGFb and IL-6. The small molecule halofuginone (HF) inhibits Th17 cell development and induces a pattern of stress-regulated gene expression that mimics amino acid starvation. We used global transcript profiling to ask how halofuginone modulates gene expression induced during T cell activaiton and Th17 differentiation "}
{"STANDARD_NAME":"GSE15624_CTRL_VS_3H_HALOFUGINONE_TREATED_CD4_TCELL_DN","SYSTEMATIC_NAME":"M7115","ORGANISM":"Mus musculus","PMID":"19498172","AUTHORS":"Sundrud MS,Koralov SB,Feuerer M,Calado DP,Kozhaya AE,Rhule-Smith A,Lefebvre RE,Unutmaz D,Mazitschek R,Waldner H,Whitman M,Keller T,Rao A","GEOID":"GSE15624","EXACT_SOURCE":"GSE15624_2675_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells: control versus treated with halofuginone [PubChem=400772] for 3h.","DESCRIPTION_FULL":"T cell differentiation to the Th17 effector subset requires stimulation through the T cell and co-stimulatory receptors, together with cytokine stimulation by TGFb and IL-6. The small molecule halofuginone (HF) inhibits Th17 cell development and induces a pattern of stress-regulated gene expression that mimics amino acid starvation. We used global transcript profiling to ask how halofuginone modulates gene expression induced during T cell activaiton and Th17 differentiation "}
{"STANDARD_NAME":"GSE15624_CTRL_VS_3H_HALOFUGINONE_TREATED_CD4_TCELL_UP","SYSTEMATIC_NAME":"M7116","ORGANISM":"Mus musculus","PMID":"19498172","AUTHORS":"Sundrud MS,Koralov SB,Feuerer M,Calado DP,Kozhaya AE,Rhule-Smith A,Lefebvre RE,Unutmaz D,Mazitschek R,Waldner H,Whitman M,Keller T,Rao A","GEOID":"GSE15624","EXACT_SOURCE":"GSE15624_2675_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells: control versus treated with halofuginone [PubChem=400772] for 3h.","DESCRIPTION_FULL":"T cell differentiation to the Th17 effector subset requires stimulation through the T cell and co-stimulatory receptors, together with cytokine stimulation by TGFb and IL-6. The small molecule halofuginone (HF) inhibits Th17 cell development and induces a pattern of stress-regulated gene expression that mimics amino acid starvation. We used global transcript profiling to ask how halofuginone modulates gene expression induced during T cell activaiton and Th17 differentiation "}
{"STANDARD_NAME":"GSE9960_HEALTHY_VS_GRAM_NEG_SEPSIS_PBMC_UP","SYSTEMATIC_NAME":"M7118","ORGANISM":"Homo sapiens","PMID":"19535937","AUTHORS":"Payen D,Lukaszewicz AC","GEOID":"GSE9960","EXACT_SOURCE":"GSE9960_3816_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in peripheral blood monocytes (PMBC): healthy versus Gram negative sepsis.","DESCRIPTION_FULL":"To identify signature genes that help distinguish (1) sepsis from non-infectious causes of systemic inflammatory response syndrome, (2) between Gram-positive and Gram-negative sepsis."}
{"STANDARD_NAME":"GSE9960_HEALTHY_VS_GRAM_NEG_SEPSIS_PBMC_DN","SYSTEMATIC_NAME":"M7119","ORGANISM":"Homo sapiens","PMID":"19535937","AUTHORS":"Payen D,Lukaszewicz AC","GEOID":"GSE9960","EXACT_SOURCE":"GSE9960_3816_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in peripheral blood monocytes (PMBC): healthy versus Gram negative sepsis.","DESCRIPTION_FULL":"To identify signature genes that help distinguish (1) sepsis from non-infectious causes of systemic inflammatory response syndrome, (2) between Gram-positive and Gram-negative sepsis."}
{"STANDARD_NAME":"GSE9960_HEALTHY_VS_GRAM_POS_SEPSIS_PBMC_UP","SYSTEMATIC_NAME":"M7120","ORGANISM":"Homo sapiens","PMID":"19535937","AUTHORS":"Payen D,Lukaszewicz AC","GEOID":"GSE9960","EXACT_SOURCE":"GSE9960_3817_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in peripheral blood monocytes (PMBC):healthy versus Gram positive sepsis.","DESCRIPTION_FULL":"To identify signature genes that help distinguish (1) sepsis from non-infectious causes of systemic inflammatory response syndrome, (2) between Gram-positive and Gram-negative sepsis."}
{"STANDARD_NAME":"GSE9960_HEALTHY_VS_GRAM_POS_SEPSIS_PBMC_DN","SYSTEMATIC_NAME":"M7121","ORGANISM":"Homo sapiens","PMID":"19535937","AUTHORS":"Payen D,Lukaszewicz AC","GEOID":"GSE9960","EXACT_SOURCE":"GSE9960_3817_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in peripheral blood monocytes (PMBC):healthy versus Gram positive sepsis.","DESCRIPTION_FULL":"To identify signature genes that help distinguish (1) sepsis from non-infectious causes of systemic inflammatory response syndrome, (2) between Gram-positive and Gram-negative sepsis."}
{"STANDARD_NAME":"GSE9960_HEALTHY_VS_GRAM_NEG_AND_POS_SEPSIS_PBMC_UP","SYSTEMATIC_NAME":"M7123","ORGANISM":"Homo sapiens","PMID":"19535937","AUTHORS":"Payen D,Lukaszewicz AC","GEOID":"GSE9960","EXACT_SOURCE":"GSE9960_3818_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in peripheral blood monocytes (PMBC): healthy versus mixed infection sepsis.","DESCRIPTION_FULL":"To identify signature genes that help distinguish (1) sepsis from non-infectious causes of systemic inflammatory response syndrome, (2) between Gram-positive and Gram-negative sepsis."}
{"STANDARD_NAME":"GSE9960_HEALTHY_VS_GRAM_NEG_AND_POS_SEPSIS_PBMC_DN","SYSTEMATIC_NAME":"M7124","ORGANISM":"Homo sapiens","PMID":"19535937","AUTHORS":"Payen D,Lukaszewicz AC","GEOID":"GSE9960","EXACT_SOURCE":"GSE9960_3818_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in peripheral blood monocytes (PMBC): healthy versus mixed infection sepsis.","DESCRIPTION_FULL":"To identify signature genes that help distinguish (1) sepsis from non-infectious causes of systemic inflammatory response syndrome, (2) between Gram-positive and Gram-negative sepsis."}
{"STANDARD_NAME":"GSE9960_HEALTHY_VS_SEPSIS_PBMC_UP","SYSTEMATIC_NAME":"M7125","ORGANISM":"Homo sapiens","PMID":"19535937","AUTHORS":"Payen D,Lukaszewicz AC","GEOID":"GSE9960","EXACT_SOURCE":"GSE9960_3819_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in peripheral blood monocytes (PMBC): healthy versus sepsis.","DESCRIPTION_FULL":"To identify signature genes that help distinguish (1) sepsis from non-infectious causes of systemic inflammatory response syndrome, (2) between Gram-positive and Gram-negative sepsis."}
{"STANDARD_NAME":"GSE9960_HEALTHY_VS_SEPSIS_PBMC_DN","SYSTEMATIC_NAME":"M7127","ORGANISM":"Homo sapiens","PMID":"19535937","AUTHORS":"Payen D,Lukaszewicz AC","GEOID":"GSE9960","EXACT_SOURCE":"GSE9960_3819_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in peripheral blood monocytes (PMBC): healthy versus sepsis.","DESCRIPTION_FULL":"To identify signature genes that help distinguish (1) sepsis from non-infectious causes of systemic inflammatory response syndrome, (2) between Gram-positive and Gram-negative sepsis."}
{"STANDARD_NAME":"GSE9960_GRAM_NEG_VS_GRAM_POS_SEPSIS_PBMC_UP","SYSTEMATIC_NAME":"M7128","ORGANISM":"Homo sapiens","PMID":"19535937","AUTHORS":"Payen D,Lukaszewicz AC","GEOID":"GSE9960","EXACT_SOURCE":"GSE9960_3820_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in peripheral blood monocytes (PMBC): Gram negative sepsis versus Gram positive sepsis.","DESCRIPTION_FULL":"To identify signature genes that help distinguish (1) sepsis from non-infectious causes of systemic inflammatory response syndrome, (2) between Gram-positive and Gram-negative sepsis."}
{"STANDARD_NAME":"GSE9960_GRAM_NEG_VS_GRAM_POS_SEPSIS_PBMC_DN","SYSTEMATIC_NAME":"M7129","ORGANISM":"Homo sapiens","PMID":"19535937","AUTHORS":"Payen D,Lukaszewicz AC","GEOID":"GSE9960","EXACT_SOURCE":"GSE9960_3820_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in peripheral blood monocytes (PMBC): Gram negative sepsis versus Gram positive sepsis.","DESCRIPTION_FULL":"To identify signature genes that help distinguish (1) sepsis from non-infectious causes of systemic inflammatory response syndrome, (2) between Gram-positive and Gram-negative sepsis."}
{"STANDARD_NAME":"GSE9960_GRAM_NEG_VS_GRAM_NEG_AND_POS_SEPSIS_PBMC_UP","SYSTEMATIC_NAME":"M7130","ORGANISM":"Homo sapiens","PMID":"19535937","AUTHORS":"Payen D,Lukaszewicz AC","GEOID":"GSE9960","EXACT_SOURCE":"GSE9960_3821_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in peripheral blood monocytes (PMBC): Gram negative sepsis versus mixed infection sepsis.","DESCRIPTION_FULL":"To identify signature genes that help distinguish (1) sepsis from non-infectious causes of systemic inflammatory response syndrome, (2) between Gram-positive and Gram-negative sepsis."}
{"STANDARD_NAME":"GSE9960_GRAM_NEG_VS_GRAM_NEG_AND_POS_SEPSIS_PBMC_DN","SYSTEMATIC_NAME":"M7131","ORGANISM":"Homo sapiens","PMID":"19535937","AUTHORS":"Payen D,Lukaszewicz AC","GEOID":"GSE9960","EXACT_SOURCE":"GSE9960_3821_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in peripheral blood monocytes (PMBC): Gram negative sepsis versus mixed infection sepsis.","DESCRIPTION_FULL":"To identify signature genes that help distinguish (1) sepsis from non-infectious causes of systemic inflammatory response syndrome, (2) between Gram-positive and Gram-negative sepsis."}
{"STANDARD_NAME":"GSE9960_GRAM_POS_VS_GRAM_NEG_AND_POS_SEPSIS_PBMC_UP","SYSTEMATIC_NAME":"M7132","ORGANISM":"Homo sapiens","PMID":"19535937","AUTHORS":"Payen D,Lukaszewicz AC","GEOID":"GSE9960","EXACT_SOURCE":"GSE9960_3822_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in peripheral blood monocytes (PMBC): Gram positive sepsis versus mixed infection sepsis.","DESCRIPTION_FULL":"To identify signature genes that help distinguish (1) sepsis from non-infectious causes of systemic inflammatory response syndrome, (2) between Gram-positive and Gram-negative sepsis."}
{"STANDARD_NAME":"GSE9960_GRAM_POS_VS_GRAM_NEG_AND_POS_SEPSIS_PBMC_DN","SYSTEMATIC_NAME":"M7133","ORGANISM":"Homo sapiens","PMID":"19535937","AUTHORS":"Payen D,Lukaszewicz AC","GEOID":"GSE9960","EXACT_SOURCE":"GSE9960_3822_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in peripheral blood monocytes (PMBC): Gram positive sepsis versus mixed infection sepsis.","DESCRIPTION_FULL":"To identify signature genes that help distinguish (1) sepsis from non-infectious causes of systemic inflammatory response syndrome, (2) between Gram-positive and Gram-negative sepsis."}
{"STANDARD_NAME":"GSE12392_CD8A_POS_VS_NEG_SPLEEN_IFNB_KO_DC_DN","SYSTEMATIC_NAME":"M7134","ORGANISM":"Mus musculus","PMID":"19581626","AUTHORS":"Zietara N,Łyszkiewicz M,Gekara N,Puchałka J,Santos Dos VA,Hunt CR,Pandita TK,Lienenklaus S,Weiss S","GEOID":"GSE12392","EXACT_SOURCE":"GSE12392_2737_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in splenic dendritic cells from IFNB1 [GeneID=3456] knockout mice: CD8A+ [GeneID=925] versus CD8A- [GeneID=925] populations.","DESCRIPTION_FULL":"Type I Interferons encompasses a large family of closely related cytokines comprising of at least 13 IFN-α isotypes and single IFN-β. Both IFN-α and IFN-β exert their activity through a common receptor IFNAR. Type I Interferons have broad regulatory effects and various subtypes of dendritic cells are influenced by this cytokines. In our study we asked question whether the low, constitutive levels of type I Interferons produced under steady state conditions are important for proper function of splenic conventional dendritic cells."}
{"STANDARD_NAME":"GSE12392_CD8A_POS_VS_NEG_SPLEEN_DC_UP","SYSTEMATIC_NAME":"M7135","ORGANISM":"Mus musculus","PMID":"19581626","AUTHORS":"Zietara N,Łyszkiewicz M,Gekara N,Puchałka J,Santos Dos VA,Hunt CR,Pandita TK,Lienenklaus S,Weiss S","GEOID":"GSE12392","EXACT_SOURCE":"GSE12392_2735_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in wildtype splenic dendritic cells: CD8A+ [GeneID=925] versus CD8A- [GeneID=925].","DESCRIPTION_FULL":"Type I Interferons encompasses a large family of closely related cytokines comprising of at least 13 IFN-α isotypes and single IFN-β. Both IFN-α and IFN-β exert their activity through a common receptor IFNAR. Type I Interferons have broad regulatory effects and various subtypes of dendritic cells are influenced by this cytokines. In our study we asked question whether the low, constitutive levels of type I Interferons produced under steady state conditions are important for proper function of splenic conventional dendritic cells."}
{"STANDARD_NAME":"GSE12392_IFNAR_KO_VS_IFNB_KO_CD8_NEG_SPLEEN_DC_DN","SYSTEMATIC_NAME":"M7136","ORGANISM":"Mus musculus","PMID":"19581626","AUTHORS":"Zietara N,Łyszkiewicz M,Gekara N,Puchałka J,Santos Dos VA,Hunt CR,Pandita TK,Lienenklaus S,Weiss S","GEOID":"GSE12392","EXACT_SOURCE":"GSE12392_2741_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD8A- [GeneID=925] splenic dendritic cells: IFNAR1 [GeneID=3454] knockout versus IFNB1 [GeneID=3456] knockout.","DESCRIPTION_FULL":"Type I Interferons encompasses a large family of closely related cytokines comprising of at least 13 IFN-α isotypes and single IFN-β. Both IFN-α and IFN-β exert their activity through a common receptor IFNAR. Type I Interferons have broad regulatory effects and various subtypes of dendritic cells are influenced by this cytokines. In our study we asked question whether the low, constitutive levels of type I Interferons produced under steady state conditions are important for proper function of splenic conventional dendritic cells."}
{"STANDARD_NAME":"GSE12392_CD8A_POS_VS_NEG_SPLEEN_IFNB_KO_DC_UP","SYSTEMATIC_NAME":"M7138","ORGANISM":"Mus musculus","PMID":"19581626","AUTHORS":"Zietara N,Łyszkiewicz M,Gekara N,Puchałka J,Santos Dos VA,Hunt CR,Pandita TK,Lienenklaus S,Weiss S","GEOID":"GSE12392","EXACT_SOURCE":"GSE12392_2737_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in splenic dendritic cells from IFNB1 [GeneID=3456] knockout mice: CD8A+ [GeneID=925] versus CD8A- [GeneID=925] populations.","DESCRIPTION_FULL":"Type I Interferons encompasses a large family of closely related cytokines comprising of at least 13 IFN-α isotypes and single IFN-β. Both IFN-α and IFN-β exert their activity through a common receptor IFNAR. Type I Interferons have broad regulatory effects and various subtypes of dendritic cells are influenced by this cytokines. In our study we asked question whether the low, constitutive levels of type I Interferons produced under steady state conditions are important for proper function of splenic conventional dendritic cells."}
{"STANDARD_NAME":"GSE12392_WT_VS_IFNAR_KO_CD8A_NEG_SPLEEN_DC_DN","SYSTEMATIC_NAME":"M7139","ORGANISM":"Mus musculus","PMID":"19581626","AUTHORS":"Zietara N,Łyszkiewicz M,Gekara N,Puchałka J,Santos Dos VA,Hunt CR,Pandita TK,Lienenklaus S,Weiss S","GEOID":"GSE12392","EXACT_SOURCE":"GSE12392_2739_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD8A- [GeneID=925] splenic dendritic cells: wildtype versus IFNAR1 [GeneID=3454] knockout mice.","DESCRIPTION_FULL":"Type I Interferons encompasses a large family of closely related cytokines comprising of at least 13 IFN-α isotypes and single IFN-β. Both IFN-α and IFN-β exert their activity through a common receptor IFNAR. Type I Interferons have broad regulatory effects and various subtypes of dendritic cells are influenced by this cytokines. In our study we asked question whether the low, constitutive levels of type I Interferons produced under steady state conditions are important for proper function of splenic conventional dendritic cells."}
{"STANDARD_NAME":"GSE12392_IFNAR_KO_VS_IFNB_KO_CD8_NEG_SPLEEN_DC_UP","SYSTEMATIC_NAME":"M7142","ORGANISM":"Mus musculus","PMID":"19581626","AUTHORS":"Zietara N,Łyszkiewicz M,Gekara N,Puchałka J,Santos Dos VA,Hunt CR,Pandita TK,Lienenklaus S,Weiss S","GEOID":"GSE12392","EXACT_SOURCE":"GSE12392_2741_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD8A- [GeneID=925] splenic dendritic cells: IFNAR1 [GeneID=3454] knockout versus IFNB1 [GeneID=3456] knockout.","DESCRIPTION_FULL":"Type I Interferons encompasses a large family of closely related cytokines comprising of at least 13 IFN-α isotypes and single IFN-β. Both IFN-α and IFN-β exert their activity through a common receptor IFNAR. Type I Interferons have broad regulatory effects and various subtypes of dendritic cells are influenced by this cytokines. In our study we asked question whether the low, constitutive levels of type I Interferons produced under steady state conditions are important for proper function of splenic conventional dendritic cells."}
{"STANDARD_NAME":"GSE12392_CD8A_POS_VS_NEG_SPLEEN_DC_DN","SYSTEMATIC_NAME":"M7143","ORGANISM":"Mus musculus","PMID":"19581626","AUTHORS":"Zietara N,Łyszkiewicz M,Gekara N,Puchałka J,Santos Dos VA,Hunt CR,Pandita TK,Lienenklaus S,Weiss S","GEOID":"GSE12392","EXACT_SOURCE":"GSE12392_2735_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in wildtype splenic dendritic cells: CD8A+ [GeneID=925] versus CD8A- [GeneID=925].","DESCRIPTION_FULL":"Type I Interferons encompasses a large family of closely related cytokines comprising of at least 13 IFN-α isotypes and single IFN-β. Both IFN-α and IFN-β exert their activity through a common receptor IFNAR. Type I Interferons have broad regulatory effects and various subtypes of dendritic cells are influenced by this cytokines. In our study we asked question whether the low, constitutive levels of type I Interferons produced under steady state conditions are important for proper function of splenic conventional dendritic cells."}
{"STANDARD_NAME":"GSE12392_WT_VS_IFNB_KO_CD8A_POS_SPLEEN_DC_DN","SYSTEMATIC_NAME":"M7144","ORGANISM":"Mus musculus","PMID":"19581626","AUTHORS":"Zietara N,Łyszkiewicz M,Gekara N,Puchałka J,Santos Dos VA,Hunt CR,Pandita TK,Lienenklaus S,Weiss S","GEOID":"GSE12392","EXACT_SOURCE":"GSE12392_2738_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD8A+ [GeneID=925] splenic dendritic cells: wildtype versus IFNB1 [GeneID=3456] knockout mice.","DESCRIPTION_FULL":"Type I Interferons encompasses a large family of closely related cytokines comprising of at least 13 IFN-α isotypes and single IFN-β. Both IFN-α and IFN-β exert their activity through a common receptor IFNAR. Type I Interferons have broad regulatory effects and various subtypes of dendritic cells are influenced by this cytokines. In our study we asked question whether the low, constitutive levels of type I Interferons produced under steady state conditions are important for proper function of splenic conventional dendritic cells."}
{"STANDARD_NAME":"GSE12392_WT_VS_IFNAR_KO_CD8A_NEG_SPLEEN_DC_UP","SYSTEMATIC_NAME":"M7147","ORGANISM":"Mus musculus","PMID":"19581626","AUTHORS":"Zietara N,Łyszkiewicz M,Gekara N,Puchałka J,Santos Dos VA,Hunt CR,Pandita TK,Lienenklaus S,Weiss S","GEOID":"GSE12392","EXACT_SOURCE":"GSE12392_2739_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD8A- [GeneID=925] splenic dendritic cells: wildtype versus IFNAR1 [GeneID=3454] knockout mice.","DESCRIPTION_FULL":"Type I Interferons encompasses a large family of closely related cytokines comprising of at least 13 IFN-α isotypes and single IFN-β. Both IFN-α and IFN-β exert their activity through a common receptor IFNAR. Type I Interferons have broad regulatory effects and various subtypes of dendritic cells are influenced by this cytokines. In our study we asked question whether the low, constitutive levels of type I Interferons produced under steady state conditions are important for proper function of splenic conventional dendritic cells."}
{"STANDARD_NAME":"GSE12392_WT_VS_IFNB_KO_CD8A_NEG_SPLEEN_DC_UP","SYSTEMATIC_NAME":"M7148","ORGANISM":"Mus musculus","PMID":"19581626","AUTHORS":"Zietara N,Łyszkiewicz M,Gekara N,Puchałka J,Santos Dos VA,Hunt CR,Pandita TK,Lienenklaus S,Weiss S","GEOID":"GSE12392","EXACT_SOURCE":"GSE12392_2740_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD8A- [GeneID=925] splenic dendritic cells: wildtype versus IFNB1 [GeneID=3456] knockout mice.","DESCRIPTION_FULL":"Type I Interferons encompasses a large family of closely related cytokines comprising of at least 13 IFN-α isotypes and single IFN-β. Both IFN-α and IFN-β exert their activity through a common receptor IFNAR. Type I Interferons have broad regulatory effects and various subtypes of dendritic cells are influenced by this cytokines. In our study we asked question whether the low, constitutive levels of type I Interferons produced under steady state conditions are important for proper function of splenic conventional dendritic cells."}
{"STANDARD_NAME":"GSE12392_WT_VS_IFNB_KO_CD8A_NEG_SPLEEN_DC_DN","SYSTEMATIC_NAME":"M7150","ORGANISM":"Mus musculus","PMID":"19581626","AUTHORS":"Zietara N,Łyszkiewicz M,Gekara N,Puchałka J,Santos Dos VA,Hunt CR,Pandita TK,Lienenklaus S,Weiss S","GEOID":"GSE12392","EXACT_SOURCE":"GSE12392_2740_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD8A- [GeneID=925] splenic dendritic cells: wildtype versus IFNB1 [GeneID=3456] knockout mice.","DESCRIPTION_FULL":"Type I Interferons encompasses a large family of closely related cytokines comprising of at least 13 IFN-α isotypes and single IFN-β. Both IFN-α and IFN-β exert their activity through a common receptor IFNAR. Type I Interferons have broad regulatory effects and various subtypes of dendritic cells are influenced by this cytokines. In our study we asked question whether the low, constitutive levels of type I Interferons produced under steady state conditions are important for proper function of splenic conventional dendritic cells."}
{"STANDARD_NAME":"GSE12392_WT_VS_IFNB_KO_CD8A_POS_SPLEEN_DC_UP","SYSTEMATIC_NAME":"M7152","ORGANISM":"Mus musculus","PMID":"19581626","AUTHORS":"Zietara N,Łyszkiewicz M,Gekara N,Puchałka J,Santos Dos VA,Hunt CR,Pandita TK,Lienenklaus S,Weiss S","GEOID":"GSE12392","EXACT_SOURCE":"GSE12392_2738_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD8A+ [GeneID=925] splenic dendritic cells: wildtype versus IFNB1 [GeneID=3456] knockout mice.","DESCRIPTION_FULL":"Type I Interferons encompasses a large family of closely related cytokines comprising of at least 13 IFN-α isotypes and single IFN-β. Both IFN-α and IFN-β exert their activity through a common receptor IFNAR. Type I Interferons have broad regulatory effects and various subtypes of dendritic cells are influenced by this cytokines. In our study we asked question whether the low, constitutive levels of type I Interferons produced under steady state conditions are important for proper function of splenic conventional dendritic cells."}
{"STANDARD_NAME":"GSE16697_CD4_TCELL_VS_TFH_CD4_TCELL_UP","SYSTEMATIC_NAME":"M7153","ORGANISM":"Mus musculus","PMID":"19608860","AUTHORS":"Johnston RJ,Poholek AC,DiToro D,Yusuf I,Eto D,Barnett B,Dent AL,Craft J,Crotty S","GEOID":"GSE16697","EXACT_SOURCE":"GSE16697_2667_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells versus follicular helper CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"Analysis of in vivo antigen-specific (LCMV-specific, SMARTA TCR transgenic) follicular helper CD4 T cells (CXCR5high),versus non-follicular helper CD4 T cells (CXCR5low), eight days after viral infection. A paper including data analysis of these experiments has been accepted for publication (Robert J. Johnston et al. Bcl6 and Blimp-1 are reciprocal and antagonistic regulators of follicular helper CD4 T cell differentiation)."}
{"STANDARD_NAME":"GSE16697_CD4_TCELL_VS_TFH_CD4_TCELL_DN","SYSTEMATIC_NAME":"M7155","ORGANISM":"Mus musculus","PMID":"19608860","AUTHORS":"Johnston RJ,Poholek AC,DiToro D,Yusuf I,Eto D,Barnett B,Dent AL,Craft J,Crotty S","GEOID":"GSE16697","EXACT_SOURCE":"GSE16697_2667_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells versus follicular helper CD4 [GeneID=920] T cells.","DESCRIPTION_FULL":"Analysis of in vivo antigen-specific (LCMV-specific, SMARTA TCR transgenic) follicular helper CD4 T cells (CXCR5high),versus non-follicular helper CD4 T cells (CXCR5low), eight days after viral infection. A paper including data analysis of these experiments has been accepted for publication (Robert J. Johnston et al. Bcl6 and Blimp-1 are reciprocal and antagonistic regulators of follicular helper CD4 T cell differentiation)."}
{"STANDARD_NAME":"GSE15735_CTRL_VS_HDAC_INHIBITOR_TREATED_CD4_TCELL_2H_UP","SYSTEMATIC_NAME":"M7156","ORGANISM":"Homo sapiens","PMID":"19698979","AUTHORS":"Wang Z,Zang C,Cui K,Schones DE,Barski A,Peng W,Zhao K","GEOID":"GSE15735","EXACT_SOURCE":"GSE15735_2248_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells: control versus treated with HDAC inhibitors for 2h.","DESCRIPTION_FULL":"Histone acetyltransferases (HATs) and deacetylases (HDACs) function antagonistically to control histone acetylation. As acetylation is a histone mark for active transcription, HATs have been associated with active and HDACs with inactive genes. We describe here genome-wide mapping of HATs and HDACs binding on chromatin and find that both are found at active genes with acetylated histones. Our data provide evidence that HATs and HDACs are both targeted to transcribed regions of active genes by phosphorylated RNA Pol II. Furthermore, the majority of HDACs in the human genome function to reset chromatin by removing acetylation at active genes. Inactive genes that are primed by MLL-mediated histone H3K4 methylation are subject to a dynamic cycle of acetylation and deacetylation by transient HAT/HDAC binding, preventing Pol II from binding to these genes but poising them for future activation. Silent genes without any H3K4 methylation signal show no evidence of being bound by HDACs."}
{"STANDARD_NAME":"GSE15735_CTRL_VS_HDAC_INHIBITOR_TREATED_CD4_TCELL_12H_DN","SYSTEMATIC_NAME":"M7157","ORGANISM":"Homo sapiens","PMID":"19698979","AUTHORS":"Wang Z,Zang C,Cui K,Schones DE,Barski A,Peng W,Zhao K","GEOID":"GSE15735","EXACT_SOURCE":"GSE15735_2249_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells: control versus treated with HDAC inhibitors for 12h.","DESCRIPTION_FULL":"Histone acetyltransferases (HATs) and deacetylases (HDACs) function antagonistically to control histone acetylation. As acetylation is a histone mark for active transcription, HATs have been associated with active and HDACs with inactive genes. We describe here genome-wide mapping of HATs and HDACs binding on chromatin and find that both are found at active genes with acetylated histones. Our data provide evidence that HATs and HDACs are both targeted to transcribed regions of active genes by phosphorylated RNA Pol II. Furthermore, the majority of HDACs in the human genome function to reset chromatin by removing acetylation at active genes. Inactive genes that are primed by MLL-mediated histone H3K4 methylation are subject to a dynamic cycle of acetylation and deacetylation by transient HAT/HDAC binding, preventing Pol II from binding to these genes but poising them for future activation. Silent genes without any H3K4 methylation signal show no evidence of being bound by HDACs."}
{"STANDARD_NAME":"GSE15735_2H_VS_12H_HDAC_INHIBITOR_TREATED_CD4_TCELL_UP","SYSTEMATIC_NAME":"M7159","ORGANISM":"Homo sapiens","PMID":"19698979","AUTHORS":"Wang Z,Zang C,Cui K,Schones DE,Barski A,Peng W,Zhao K","GEOID":"GSE15735","EXACT_SOURCE":"GSE15735_2250_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells treated with HDAC inhibitors: 2h versus 12h.","DESCRIPTION_FULL":"Histone acetyltransferases (HATs) and deacetylases (HDACs) function antagonistically to control histone acetylation. As acetylation is a histone mark for active transcription, HATs have been associated with active and HDACs with inactive genes. We describe here genome-wide mapping of HATs and HDACs binding on chromatin and find that both are found at active genes with acetylated histones. Our data provide evidence that HATs and HDACs are both targeted to transcribed regions of active genes by phosphorylated RNA Pol II. Furthermore, the majority of HDACs in the human genome function to reset chromatin by removing acetylation at active genes. Inactive genes that are primed by MLL-mediated histone H3K4 methylation are subject to a dynamic cycle of acetylation and deacetylation by transient HAT/HDAC binding, preventing Pol II from binding to these genes but poising them for future activation. Silent genes without any H3K4 methylation signal show no evidence of being bound by HDACs."}
{"STANDARD_NAME":"GSE15735_CTRL_VS_HDAC_INHIBITOR_TREATED_CD4_TCELL_2H_DN","SYSTEMATIC_NAME":"M7161","ORGANISM":"Homo sapiens","PMID":"19698979","AUTHORS":"Wang Z,Zang C,Cui K,Schones DE,Barski A,Peng W,Zhao K","GEOID":"GSE15735","EXACT_SOURCE":"GSE15735_2248_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells: control versus treated with HDAC inhibitors for 2h.","DESCRIPTION_FULL":"Histone acetyltransferases (HATs) and deacetylases (HDACs) function antagonistically to control histone acetylation. As acetylation is a histone mark for active transcription, HATs have been associated with active and HDACs with inactive genes. We describe here genome-wide mapping of HATs and HDACs binding on chromatin and find that both are found at active genes with acetylated histones. Our data provide evidence that HATs and HDACs are both targeted to transcribed regions of active genes by phosphorylated RNA Pol II. Furthermore, the majority of HDACs in the human genome function to reset chromatin by removing acetylation at active genes. Inactive genes that are primed by MLL-mediated histone H3K4 methylation are subject to a dynamic cycle of acetylation and deacetylation by transient HAT/HDAC binding, preventing Pol II from binding to these genes but poising them for future activation. Silent genes without any H3K4 methylation signal show no evidence of being bound by HDACs."}
{"STANDARD_NAME":"GSE15735_2H_VS_12H_HDAC_INHIBITOR_TREATED_CD4_TCELL_DN","SYSTEMATIC_NAME":"M7162","ORGANISM":"Homo sapiens","PMID":"19698979","AUTHORS":"Wang Z,Zang C,Cui K,Schones DE,Barski A,Peng W,Zhao K","GEOID":"GSE15735","EXACT_SOURCE":"GSE15735_2250_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells treated with HDAC inhibitors: 2h versus 12h.","DESCRIPTION_FULL":"Histone acetyltransferases (HATs) and deacetylases (HDACs) function antagonistically to control histone acetylation. As acetylation is a histone mark for active transcription, HATs have been associated with active and HDACs with inactive genes. We describe here genome-wide mapping of HATs and HDACs binding on chromatin and find that both are found at active genes with acetylated histones. Our data provide evidence that HATs and HDACs are both targeted to transcribed regions of active genes by phosphorylated RNA Pol II. Furthermore, the majority of HDACs in the human genome function to reset chromatin by removing acetylation at active genes. Inactive genes that are primed by MLL-mediated histone H3K4 methylation are subject to a dynamic cycle of acetylation and deacetylation by transient HAT/HDAC binding, preventing Pol II from binding to these genes but poising them for future activation. Silent genes without any H3K4 methylation signal show no evidence of being bound by HDACs."}
{"STANDARD_NAME":"GSE15735_CTRL_VS_HDAC_INHIBITOR_TREATED_CD4_TCELL_12H_UP","SYSTEMATIC_NAME":"M7163","ORGANISM":"Homo sapiens","PMID":"19698979","AUTHORS":"Wang Z,Zang C,Cui K,Schones DE,Barski A,Peng W,Zhao K","GEOID":"GSE15735","EXACT_SOURCE":"GSE15735_2249_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells: control versus treated with HDAC inhibitors for 12h.","DESCRIPTION_FULL":"Histone acetyltransferases (HATs) and deacetylases (HDACs) function antagonistically to control histone acetylation. As acetylation is a histone mark for active transcription, HATs have been associated with active and HDACs with inactive genes. We describe here genome-wide mapping of HATs and HDACs binding on chromatin and find that both are found at active genes with acetylated histones. Our data provide evidence that HATs and HDACs are both targeted to transcribed regions of active genes by phosphorylated RNA Pol II. Furthermore, the majority of HDACs in the human genome function to reset chromatin by removing acetylation at active genes. Inactive genes that are primed by MLL-mediated histone H3K4 methylation are subject to a dynamic cycle of acetylation and deacetylation by transient HAT/HDAC binding, preventing Pol II from binding to these genes but poising them for future activation. Silent genes without any H3K4 methylation signal show no evidence of being bound by HDACs."}
{"STANDARD_NAME":"GSE17812_WT_VS_THPOK_KO_MEMORY_CD8_TCELL_DN","SYSTEMATIC_NAME":"M7164","ORGANISM":"Mus musculus","PMID":"19734230","AUTHORS":"Setoguchi R,Taniuchi I,Bevan MJ","GEOID":"GSE17812","EXACT_SOURCE":"GSE17812_2733_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in memory CD8 T cells: wildtype wt versus ZBTB7B [GeneID=51043] knockout.","DESCRIPTION_FULL":"We noticed that ThPOK repression is readily abrogated upon in vitro TCR stimulation of peripheral CD8 T cells. This observation prompted us to investigate a role of ThPOK in the CD8 T cell response to an acute viral infection. We observed that clonal expansion is significantly less in both primary and secondary CD8 T cell responses in the absence of functional ThPOK. To approach this mechanism, we carried out a microarray analysis for comparison of gene expression between ThPOKhd/hd and ThPOKwt/wt P14 memory T cells."}
{"STANDARD_NAME":"GSE17812_WT_VS_THPOK_KO_MEMORY_CD8_TCELL_UP","SYSTEMATIC_NAME":"M7166","ORGANISM":"Mus musculus","PMID":"19734230","AUTHORS":"Setoguchi R,Taniuchi I,Bevan MJ","GEOID":"GSE17812","EXACT_SOURCE":"GSE17812_2733_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in memory CD8 T cells: wildtype wt versus ZBTB7B [GeneID=51043] knockout.","DESCRIPTION_FULL":"We noticed that ThPOK repression is readily abrogated upon in vitro TCR stimulation of peripheral CD8 T cells. This observation prompted us to investigate a role of ThPOK in the CD8 T cell response to an acute viral infection. We observed that clonal expansion is significantly less in both primary and secondary CD8 T cell responses in the absence of functional ThPOK. To approach this mechanism, we carried out a microarray analysis for comparison of gene expression between ThPOKhd/hd and ThPOKwt/wt P14 memory T cells."}
{"STANDARD_NAME":"GSE17186_CD21LOW_VS_CD21HIGH_TRANSITIONAL_BCELL_UP","SYSTEMATIC_NAME":"M7168","ORGANISM":"Homo sapiens","PMID":"19965666","AUTHORS":"Suryani S,Fulcher DA,Santner-Nanan B,Nanan R,Wong M,Shaw PJ,Gibson J,Williams A,Tangye SG","GEOID":"GSE17186","EXACT_SOURCE":"GSE17186_3139_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in transitional B lymphocytes: CR2 [GeneID=1380] low versus CR2 [GeneID=1380] high.","DESCRIPTION_FULL":"Goals/objectives: to identify various gene expression in B cell subsets derived from human PBMC and cord blood "}
{"STANDARD_NAME":"GSE17186_MEMORY_VS_NAIVE_BCELL_UP","SYSTEMATIC_NAME":"M7170","ORGANISM":"Homo sapiens","PMID":"19965666","AUTHORS":"Suryani S,Fulcher DA,Santner-Nanan B,Nanan R,Wong M,Shaw PJ,Gibson J,Williams A,Tangye SG","GEOID":"GSE17186","EXACT_SOURCE":"GSE17186_3134_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in B lymphocytes: memory versus naïve.","DESCRIPTION_FULL":"Goals/objectives: to identify various gene expression in B cell subsets derived from human PBMC and cord blood "}
{"STANDARD_NAME":"GSE17186_MEMORY_VS_NAIVE_BCELL_DN","SYSTEMATIC_NAME":"M7171","ORGANISM":"Homo sapiens","PMID":"19965666","AUTHORS":"Suryani S,Fulcher DA,Santner-Nanan B,Nanan R,Wong M,Shaw PJ,Gibson J,Williams A,Tangye SG","GEOID":"GSE17186","EXACT_SOURCE":"GSE17186_3134_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in B lymphocytes: memory versus naïve.","DESCRIPTION_FULL":"Goals/objectives: to identify various gene expression in B cell subsets derived from human PBMC and cord blood "}
{"STANDARD_NAME":"GSE17186_NAIVE_VS_CD21HIGH_TRANSITIONAL_BCELL_CORD_BLOOD_UP","SYSTEMATIC_NAME":"M7172","ORGANISM":"Homo sapiens","PMID":"19965666","AUTHORS":"Suryani S,Fulcher DA,Santner-Nanan B,Nanan R,Wong M,Shaw PJ,Gibson J,Williams A,Tangye SG","GEOID":"GSE17186","EXACT_SOURCE":"GSE17186_3141_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in B lymphocytes from cord blood: naïve versus transitional CR2 [GeneID=1380] high.","DESCRIPTION_FULL":"Goals/objectives: to identify various gene expression in B cell subsets derived from human PBMC and cord blood "}
{"STANDARD_NAME":"GSE17186_CD21LOW_VS_CD21HIGH_TRANSITIONAL_BCELL_DN","SYSTEMATIC_NAME":"M7174","ORGANISM":"Homo sapiens","PMID":"19965666","AUTHORS":"Suryani S,Fulcher DA,Santner-Nanan B,Nanan R,Wong M,Shaw PJ,Gibson J,Williams A,Tangye SG","GEOID":"GSE17186","EXACT_SOURCE":"GSE17186_3139_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in transitional B lymphocytes: CR2 [GeneID=1380] low versus CR2 [GeneID=1380] high.","DESCRIPTION_FULL":"Goals/objectives: to identify various gene expression in B cell subsets derived from human PBMC and cord blood "}
{"STANDARD_NAME":"GSE17186_NAIVE_VS_CD21LOW_TRANSITIONAL_BCELL_CORD_BLOOD_UP","SYSTEMATIC_NAME":"M7175","ORGANISM":"Homo sapiens","PMID":"19965666","AUTHORS":"Suryani S,Fulcher DA,Santner-Nanan B,Nanan R,Wong M,Shaw PJ,Gibson J,Williams A,Tangye SG","GEOID":"GSE17186","EXACT_SOURCE":"GSE17186_3140_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in B lymphocytes from cord blood: naïve versus transitional CR2 [GeneID=1380].","DESCRIPTION_FULL":"Goals/objectives: to identify various gene expression in B cell subsets derived from human PBMC and cord blood "}
{"STANDARD_NAME":"GSE17186_NAIVE_VS_CD21LOW_TRANSITIONAL_BCELL_CORD_BLOOD_DN","SYSTEMATIC_NAME":"M7177","ORGANISM":"Homo sapiens","PMID":"19965666","AUTHORS":"Suryani S,Fulcher DA,Santner-Nanan B,Nanan R,Wong M,Shaw PJ,Gibson J,Williams A,Tangye SG","GEOID":"GSE17186","EXACT_SOURCE":"GSE17186_3140_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in B lymphocytes from cord blood: naïve versus transitional CR2 [GeneID=1380].","DESCRIPTION_FULL":"Goals/objectives: to identify various gene expression in B cell subsets derived from human PBMC and cord blood "}
{"STANDARD_NAME":"GSE17186_BLOOD_VS_CORD_BLOOD_NAIVE_BCELL_DN","SYSTEMATIC_NAME":"M7178","ORGANISM":"Homo sapiens","PMID":"19965666","AUTHORS":"Suryani S,Fulcher DA,Santner-Nanan B,Nanan R,Wong M,Shaw PJ,Gibson J,Williams A,Tangye SG","GEOID":"GSE17186","EXACT_SOURCE":"GSE17186_3143_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in naïve B lymphocytes versus those from cord blood.","DESCRIPTION_FULL":"Goals/objectives: to identify various gene expression in B cell subsets derived from human PBMC and cord blood "}
{"STANDARD_NAME":"GSE17186_MEMORY_VS_CD21LOW_TRANSITIONAL_BCELL_UP","SYSTEMATIC_NAME":"M7180","ORGANISM":"Homo sapiens","PMID":"19965666","AUTHORS":"Suryani S,Fulcher DA,Santner-Nanan B,Nanan R,Wong M,Shaw PJ,Gibson J,Williams A,Tangye SG","GEOID":"GSE17186","EXACT_SOURCE":"GSE17186_3135_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in B lymphocytes: memory versus transitional CR2 [GeneID=1380] low.","DESCRIPTION_FULL":"Goals/objectives: to identify various gene expression in B cell subsets derived from human PBMC and cord blood "}
{"STANDARD_NAME":"GSE17186_MEMORY_VS_CD21LOW_TRANSITIONAL_BCELL_DN","SYSTEMATIC_NAME":"M7183","ORGANISM":"Homo sapiens","PMID":"19965666","AUTHORS":"Suryani S,Fulcher DA,Santner-Nanan B,Nanan R,Wong M,Shaw PJ,Gibson J,Williams A,Tangye SG","GEOID":"GSE17186","EXACT_SOURCE":"GSE17186_3135_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in B lymphocytes: memory versus transitional CR2 [GeneID=1380] low.","DESCRIPTION_FULL":"Goals/objectives: to identify various gene expression in B cell subsets derived from human PBMC and cord blood "}
{"STANDARD_NAME":"GSE17186_BLOOD_VS_CORD_BLOOD_CD21HIGH_TRANSITIONAL_BCELL_UP","SYSTEMATIC_NAME":"M7185","ORGANISM":"Homo sapiens","PMID":"19965666","AUTHORS":"Suryani S,Fulcher DA,Santner-Nanan B,Nanan R,Wong M,Shaw PJ,Gibson J,Williams A,Tangye SG","GEOID":"GSE17186","EXACT_SOURCE":"GSE17186_3145_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in transitional CR2 [GeneID=1380] high B lymphocytes versus those from cord blood.","DESCRIPTION_FULL":"Goals/objectives: to identify various gene expression in B cell subsets derived from human PBMC and cord blood "}
{"STANDARD_NAME":"GSE17186_BLOOD_VS_CORD_BLOOD_CD21HIGH_TRANSITIONAL_BCELL_DN","SYSTEMATIC_NAME":"M7186","ORGANISM":"Homo sapiens","PMID":"19965666","AUTHORS":"Suryani S,Fulcher DA,Santner-Nanan B,Nanan R,Wong M,Shaw PJ,Gibson J,Williams A,Tangye SG","GEOID":"GSE17186","EXACT_SOURCE":"GSE17186_3145_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in transitional CR2 [GeneID=1380] high B lymphocytes versus those from cord blood.","DESCRIPTION_FULL":"Goals/objectives: to identify various gene expression in B cell subsets derived from human PBMC and cord blood "}
{"STANDARD_NAME":"GSE17186_NAIVE_VS_CD21HIGH_TRANSITIONAL_BCELL_DN","SYSTEMATIC_NAME":"M7187","ORGANISM":"Homo sapiens","PMID":"19965666","AUTHORS":"Suryani S,Fulcher DA,Santner-Nanan B,Nanan R,Wong M,Shaw PJ,Gibson J,Williams A,Tangye SG","GEOID":"GSE17186","EXACT_SOURCE":"GSE17186_3138_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in B lymphocytes: naïve versus transitional CR2 [GeneID=1380] high.","DESCRIPTION_FULL":"Goals/objectives: to identify various gene expression in B cell subsets derived from human PBMC and cord blood "}
{"STANDARD_NAME":"GSE17186_NAIVE_VS_CD21HIGH_TRANSITIONAL_BCELL_CORD_BLOOD_DN","SYSTEMATIC_NAME":"M7190","ORGANISM":"Homo sapiens","PMID":"19965666","AUTHORS":"Suryani S,Fulcher DA,Santner-Nanan B,Nanan R,Wong M,Shaw PJ,Gibson J,Williams A,Tangye SG","GEOID":"GSE17186","EXACT_SOURCE":"GSE17186_3141_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in B lymphocytes from cord blood: naïve versus transitional CR2 [GeneID=1380] high.","DESCRIPTION_FULL":"Goals/objectives: to identify various gene expression in B cell subsets derived from human PBMC and cord blood "}
{"STANDARD_NAME":"GSE17186_CD21LOW_VS_CD21HIGH_TRANSITIONAL_BCELL_CORD_BLOOD_UP","SYSTEMATIC_NAME":"M7192","ORGANISM":"Homo sapiens","PMID":"19965666","AUTHORS":"Suryani S,Fulcher DA,Santner-Nanan B,Nanan R,Wong M,Shaw PJ,Gibson J,Williams A,Tangye SG","GEOID":"GSE17186","EXACT_SOURCE":"GSE17186_3142_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in transitional B lymphocytes from cord blood: CR2 [GeneID=1380] low versus CR2 [GeneID=1380] high.","DESCRIPTION_FULL":"Goals/objectives: to identify various gene expression in B cell subsets derived from human PBMC and cord blood "}
{"STANDARD_NAME":"GSE17186_CD21LOW_VS_CD21HIGH_TRANSITIONAL_BCELL_CORD_BLOOD_DN","SYSTEMATIC_NAME":"M7193","ORGANISM":"Homo sapiens","PMID":"19965666","AUTHORS":"Suryani S,Fulcher DA,Santner-Nanan B,Nanan R,Wong M,Shaw PJ,Gibson J,Williams A,Tangye SG","GEOID":"GSE17186","EXACT_SOURCE":"GSE17186_3142_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in transitional B lymphocytes from cord blood: CR2 [GeneID=1380] low versus CR2 [GeneID=1380] high.","DESCRIPTION_FULL":"Goals/objectives: to identify various gene expression in B cell subsets derived from human PBMC and cord blood "}
{"STANDARD_NAME":"GSE17186_BLOOD_VS_CORD_BLOOD_NAIVE_BCELL_UP","SYSTEMATIC_NAME":"M7194","ORGANISM":"Homo sapiens","PMID":"19965666","AUTHORS":"Suryani S,Fulcher DA,Santner-Nanan B,Nanan R,Wong M,Shaw PJ,Gibson J,Williams A,Tangye SG","GEOID":"GSE17186","EXACT_SOURCE":"GSE17186_3143_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in naïve B lymphocytes versus those from cord blood.","DESCRIPTION_FULL":"Goals/objectives: to identify various gene expression in B cell subsets derived from human PBMC and cord blood "}
{"STANDARD_NAME":"GSE17186_BLOOD_VS_CORD_BLOOD_CD21LOW_TRANSITIONAL_BCELL_UP","SYSTEMATIC_NAME":"M7195","ORGANISM":"Homo sapiens","PMID":"19965666","AUTHORS":"Suryani S,Fulcher DA,Santner-Nanan B,Nanan R,Wong M,Shaw PJ,Gibson J,Williams A,Tangye SG","GEOID":"GSE17186","EXACT_SOURCE":"GSE17186_3144_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in transitional CR2 [GeneID=1380] low B lymphocytes versus those from cord blood.","DESCRIPTION_FULL":"Goals/objectives: to identify various gene expression in B cell subsets derived from human PBMC and cord blood "}
{"STANDARD_NAME":"GSE17186_BLOOD_VS_CORD_BLOOD_CD21LOW_TRANSITIONAL_BCELL_DN","SYSTEMATIC_NAME":"M7196","ORGANISM":"Homo sapiens","PMID":"19965666","AUTHORS":"Suryani S,Fulcher DA,Santner-Nanan B,Nanan R,Wong M,Shaw PJ,Gibson J,Williams A,Tangye SG","GEOID":"GSE17186","EXACT_SOURCE":"GSE17186_3144_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in transitional CR2 [GeneID=1380] low B lymphocytes versus those from cord blood.","DESCRIPTION_FULL":"Goals/objectives: to identify various gene expression in B cell subsets derived from human PBMC and cord blood "}
{"STANDARD_NAME":"GSE17186_NAIVE_VS_CD21LOW_TRANSITIONAL_BCELL_DN","SYSTEMATIC_NAME":"M7197","ORGANISM":"Homo sapiens","PMID":"19965666","AUTHORS":"Suryani S,Fulcher DA,Santner-Nanan B,Nanan R,Wong M,Shaw PJ,Gibson J,Williams A,Tangye SG","GEOID":"GSE17186","EXACT_SOURCE":"GSE17186_3137_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in B lymphocytes: naïve versus transitional CR2 [GeneID=1380] low.","DESCRIPTION_FULL":"Goals/objectives: to identify various gene expression in B cell subsets derived from human PBMC and cord blood "}
{"STANDARD_NAME":"GSE17186_NAIVE_VS_CD21HIGH_TRANSITIONAL_BCELL_UP","SYSTEMATIC_NAME":"M7198","ORGANISM":"Homo sapiens","PMID":"19965666","AUTHORS":"Suryani S,Fulcher DA,Santner-Nanan B,Nanan R,Wong M,Shaw PJ,Gibson J,Williams A,Tangye SG","GEOID":"GSE17186","EXACT_SOURCE":"GSE17186_3138_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in B lymphocytes: naïve versus transitional CR2 [GeneID=1380] high.","DESCRIPTION_FULL":"Goals/objectives: to identify various gene expression in B cell subsets derived from human PBMC and cord blood "}
{"STANDARD_NAME":"GSE17186_MEMORY_VS_CD21HIGH_TRANSITIONAL_BCELL_UP","SYSTEMATIC_NAME":"M7200","ORGANISM":"Homo sapiens","PMID":"19965666","AUTHORS":"Suryani S,Fulcher DA,Santner-Nanan B,Nanan R,Wong M,Shaw PJ,Gibson J,Williams A,Tangye SG","GEOID":"GSE17186","EXACT_SOURCE":"GSE17186_3136_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in B lymphocytes: memory versus transitional CR2 [GeneID=1380] high.","DESCRIPTION_FULL":"Goals/objectives: to identify various gene expression in B cell subsets derived from human PBMC and cord blood "}
{"STANDARD_NAME":"GSE17186_MEMORY_VS_CD21HIGH_TRANSITIONAL_BCELL_DN","SYSTEMATIC_NAME":"M7205","ORGANISM":"Homo sapiens","PMID":"19965666","AUTHORS":"Suryani S,Fulcher DA,Santner-Nanan B,Nanan R,Wong M,Shaw PJ,Gibson J,Williams A,Tangye SG","GEOID":"GSE17186","EXACT_SOURCE":"GSE17186_3136_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in B lymphocytes: memory versus transitional CR2 [GeneID=1380] high.","DESCRIPTION_FULL":"Goals/objectives: to identify various gene expression in B cell subsets derived from human PBMC and cord blood "}
{"STANDARD_NAME":"GSE17186_NAIVE_VS_CD21LOW_TRANSITIONAL_BCELL_UP","SYSTEMATIC_NAME":"M7206","ORGANISM":"Homo sapiens","PMID":"19965666","AUTHORS":"Suryani S,Fulcher DA,Santner-Nanan B,Nanan R,Wong M,Shaw PJ,Gibson J,Williams A,Tangye SG","GEOID":"GSE17186","EXACT_SOURCE":"GSE17186_3137_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in B lymphocytes: naïve versus transitional CR2 [GeneID=1380] low.","DESCRIPTION_FULL":"Goals/objectives: to identify various gene expression in B cell subsets derived from human PBMC and cord blood "}
{"STANDARD_NAME":"GSE18203_CTRL_VS_INTRATUMORAL_CPG_INJ_MC38_TUMOR_UP","SYSTEMATIC_NAME":"M7207","ORGANISM":"Mus musculus","PMID":"19996209","AUTHORS":"Westwood JA,Haynes NM,Sharkey J,McLaughlin N,Pegram HJ,Schwendener RA,Smyth MJ,Darcy PK,Kershaw MH","GEOID":"GSE18203","EXACT_SOURCE":"GSE18203_3834_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in tumors established by injecting MC38 cells (colon cancer): control versus CpG oligodeoxynucleotide 1826.","DESCRIPTION_FULL":"To determine the effect on gene expression of intratumoral injection of the Toll-like receptor agonist CpG1826. MC38 colon cancer cells were injected subcutaneously into C57BL/6 mice and allowed to establish until ~40 mm2."}
{"STANDARD_NAME":"GSE18203_CTRL_VS_INTRATUMORAL_CPG_INJ_MC38_TUMOR_DN","SYSTEMATIC_NAME":"M7208","ORGANISM":"Mus musculus","PMID":"19996209","AUTHORS":"Westwood JA,Haynes NM,Sharkey J,McLaughlin N,Pegram HJ,Schwendener RA,Smyth MJ,Darcy PK,Kershaw MH","GEOID":"GSE18203","EXACT_SOURCE":"GSE18203_3834_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in tumors established by injecting MC38 cells (colon cancer): control versus CpG oligodeoxynucleotide 1826.","DESCRIPTION_FULL":"To determine the effect on gene expression of intratumoral injection of the Toll-like receptor agonist CpG1826. MC38 colon cancer cells were injected subcutaneously into C57BL/6 mice and allowed to establish until ~40 mm2."}
{"STANDARD_NAME":"GSE16266_CTRL_VS_HEATSHOCK_AND_LPS_STIM_MEF_DN","SYSTEMATIC_NAME":"M7209","ORGANISM":"Mus musculus","PMID":"20018623","AUTHORS":"Takii R,Inouye S,Fujimoto M,Nakamura T,Shinkawa T,Prakasam R,Tan K,Hayashida N,Ichikawa H,Hai T,Nakai A","GEOID":"GSE16266","EXACT_SOURCE":"GSE16266_3079_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated inmouse embryonic fibroblasts (MEF): control versus LPS and heat shock.","DESCRIPTION_FULL":"To clarify inflammatory genes whose expression is suppressed at high temperatures, we performed comprehensive analysis of gene expression by using a DNA microarray. Two independent primary cultures of mouse embryo fibroblasts (MEF1 and MEF2) were treated with LPS for 4 hours, or treated with LPS for 4 hours after the pretreatment with heat shock at 42˚C for 1 hour, and we identified 100 genes that undergo more than a 3-fold increase with LPS treatment. Remarkably, 86 genes (86%) underwent less than a 2-fold increase after combined treatments with heat shock and LPS in MEF1 and MEF2 cells."}
{"STANDARD_NAME":"GSE16266_LPS_VS_HEATSHOCK_AND_LPS_STIM_MEF_UP","SYSTEMATIC_NAME":"M7210","ORGANISM":"Mus musculus","PMID":"20018623","AUTHORS":"Takii R,Inouye S,Fujimoto M,Nakamura T,Shinkawa T,Prakasam R,Tan K,Hayashida N,Ichikawa H,Hai T,Nakai A","GEOID":"GSE16266","EXACT_SOURCE":"GSE16266_3080_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in mouse embryonic fibroblasts (MEF): LPS versus LPS and heat shock.","DESCRIPTION_FULL":"To clarify inflammatory genes whose expression is suppressed at high temperatures, we performed comprehensive analysis of gene expression by using a DNA microarray. Two independent primary cultures of mouse embryo fibroblasts (MEF1 and MEF2) were treated with LPS for 4 hours, or treated with LPS for 4 hours after the pretreatment with heat shock at 42˚C for 1 hour, and we identified 100 genes that undergo more than a 3-fold increase with LPS treatment. Remarkably, 86 genes (86%) underwent less than a 2-fold increase after combined treatments with heat shock and LPS in MEF1 and MEF2 cells."}
{"STANDARD_NAME":"GSE16266_CTRL_VS_HEATSHOCK_AND_LPS_STIM_MEF_UP","SYSTEMATIC_NAME":"M7211","ORGANISM":"Mus musculus","PMID":"20018623","AUTHORS":"Takii R,Inouye S,Fujimoto M,Nakamura T,Shinkawa T,Prakasam R,Tan K,Hayashida N,Ichikawa H,Hai T,Nakai A","GEOID":"GSE16266","EXACT_SOURCE":"GSE16266_3079_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated inmouse embryonic fibroblasts (MEF): control versus LPS and heat shock.","DESCRIPTION_FULL":"To clarify inflammatory genes whose expression is suppressed at high temperatures, we performed comprehensive analysis of gene expression by using a DNA microarray. Two independent primary cultures of mouse embryo fibroblasts (MEF1 and MEF2) were treated with LPS for 4 hours, or treated with LPS for 4 hours after the pretreatment with heat shock at 42˚C for 1 hour, and we identified 100 genes that undergo more than a 3-fold increase with LPS treatment. Remarkably, 86 genes (86%) underwent less than a 2-fold increase after combined treatments with heat shock and LPS in MEF1 and MEF2 cells."}
{"STANDARD_NAME":"GSE16266_CTRL_VS_LPS_STIM_MEF_DN","SYSTEMATIC_NAME":"M7212","ORGANISM":"Mus musculus","PMID":"20018623","AUTHORS":"Takii R,Inouye S,Fujimoto M,Nakamura T,Shinkawa T,Prakasam R,Tan K,Hayashida N,Ichikawa H,Hai T,Nakai A","GEOID":"GSE16266","EXACT_SOURCE":"GSE16266_3078_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in mouse embryonic fibroblasts (MEF): control versus LPS.","DESCRIPTION_FULL":"To clarify inflammatory genes whose expression is suppressed at high temperatures, we performed comprehensive analysis of gene expression by using a DNA microarray. Two independent primary cultures of mouse embryo fibroblasts (MEF1 and MEF2) were treated with LPS for 4 hours, or treated with LPS for 4 hours after the pretreatment with heat shock at 42˚C for 1 hour, and we identified 100 genes that undergo more than a 3-fold increase with LPS treatment. Remarkably, 86 genes (86%) underwent less than a 2-fold increase after combined treatments with heat shock and LPS in MEF1 and MEF2 cells."}
{"STANDARD_NAME":"GSE16266_LPS_VS_HEATSHOCK_AND_LPS_STIM_MEF_DN","SYSTEMATIC_NAME":"M7217","ORGANISM":"Mus musculus","PMID":"20018623","AUTHORS":"Takii R,Inouye S,Fujimoto M,Nakamura T,Shinkawa T,Prakasam R,Tan K,Hayashida N,Ichikawa H,Hai T,Nakai A","GEOID":"GSE16266","EXACT_SOURCE":"GSE16266_3080_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in mouse embryonic fibroblasts (MEF): LPS versus LPS and heat shock.","DESCRIPTION_FULL":"To clarify inflammatory genes whose expression is suppressed at high temperatures, we performed comprehensive analysis of gene expression by using a DNA microarray. Two independent primary cultures of mouse embryo fibroblasts (MEF1 and MEF2) were treated with LPS for 4 hours, or treated with LPS for 4 hours after the pretreatment with heat shock at 42˚C for 1 hour, and we identified 100 genes that undergo more than a 3-fold increase with LPS treatment. Remarkably, 86 genes (86%) underwent less than a 2-fold increase after combined treatments with heat shock and LPS in MEF1 and MEF2 cells."}
{"STANDARD_NAME":"GSE16266_CTRL_VS_LPS_STIM_MEF_UP","SYSTEMATIC_NAME":"M7219","ORGANISM":"Mus musculus","PMID":"20018623","AUTHORS":"Takii R,Inouye S,Fujimoto M,Nakamura T,Shinkawa T,Prakasam R,Tan K,Hayashida N,Ichikawa H,Hai T,Nakai A","GEOID":"GSE16266","EXACT_SOURCE":"GSE16266_3078_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in mouse embryonic fibroblasts (MEF): control versus LPS.","DESCRIPTION_FULL":"To clarify inflammatory genes whose expression is suppressed at high temperatures, we performed comprehensive analysis of gene expression by using a DNA microarray. Two independent primary cultures of mouse embryo fibroblasts (MEF1 and MEF2) were treated with LPS for 4 hours, or treated with LPS for 4 hours after the pretreatment with heat shock at 42˚C for 1 hour, and we identified 100 genes that undergo more than a 3-fold increase with LPS treatment. Remarkably, 86 genes (86%) underwent less than a 2-fold increase after combined treatments with heat shock and LPS in MEF1 and MEF2 cells."}
{"STANDARD_NAME":"GSE19198_CTRL_VS_IL21_TREATED_TCELL_6H_UP","SYSTEMATIC_NAME":"M7221","ORGANISM":"Mus musculus","PMID":"20064451","AUTHORS":"Kwon H,Thierry-Mieg D,Thierry-Mieg J,Kim HP,Oh J,Tunyaplin C,Carotta S,Donovan CE,Goldman ML,Tailor P,Ozato K,Levy DE,Nutt SL,Calame K,Leonard WJ","GEOID":"GSE19198","EXACT_SOURCE":"GSE19198_2365_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in T cells: control (0h) versus IL21 [GeneID=59067] treatment for 6h.","DESCRIPTION_FULL":"Interleukin-21 (IL-21) is a pleiotropic cytokine that induces expression of transcription factor BLIMP1 (encoded by Prdm1), which regulates plasma cell differentiation and T cell homeostasis. We identified an IL-21 response element downstream of Prdm1 that binds the transcription factors STAT3 and IRF4, which are required for optimal Prdm1 expression. Genome-wide ChIP-Seq mapping of STAT3- and IRF4-binding sites showed that most regions with IL-21-induced STAT3 binding also bound IRF4 in vivo, and furthermore, revealed that the noncanonical TTCnnnTAA GAS motif critical in Prdm1 was broadly used for STAT3 binding. Comparing genome-wide expression array data to binding sites revealed that most IL-21-regulated genes were associated with combined STAT3-IRF4 sites rather than pure STAT3 sites. Correspondingly, ChIP-Seq analysis of Irf4_/_ T cells showed greatly diminished STAT3 binding after IL-21 treatment, and Irf4_/_ mice showed impaired IL- 21-induced Tfh cell differentiation in vivo. These results reveal broad cooperative gene regulation by STAT3 and IRF4."}
{"STANDARD_NAME":"GSE19198_CTRL_VS_IL21_TREATED_TCELL_1H_DN","SYSTEMATIC_NAME":"M7222","ORGANISM":"Mus musculus","PMID":"20064451","AUTHORS":"Kwon H,Thierry-Mieg D,Thierry-Mieg J,Kim HP,Oh J,Tunyaplin C,Carotta S,Donovan CE,Goldman ML,Tailor P,Ozato K,Levy DE,Nutt SL,Calame K,Leonard WJ","GEOID":"GSE19198","EXACT_SOURCE":"GSE19198_2364_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in T cells: control (0h) versus IL21 [GeneID=59067] treatment for 1h.","DESCRIPTION_FULL":"Interleukin-21 (IL-21) is a pleiotropic cytokine that induces expression of transcription factor BLIMP1 (encoded by Prdm1), which regulates plasma cell differentiation and T cell homeostasis. We identified an IL-21 response element downstream of Prdm1 that binds the transcription factors STAT3 and IRF4, which are required for optimal Prdm1 expression. Genome-wide ChIP-Seq mapping of STAT3- and IRF4-binding sites showed that most regions with IL-21-induced STAT3 binding also bound IRF4 in vivo, and furthermore, revealed that the noncanonical TTCnnnTAA GAS motif critical in Prdm1 was broadly used for STAT3 binding. Comparing genome-wide expression array data to binding sites revealed that most IL-21-regulated genes were associated with combined STAT3-IRF4 sites rather than pure STAT3 sites. Correspondingly, ChIP-Seq analysis of Irf4_/_ T cells showed greatly diminished STAT3 binding after IL-21 treatment, and Irf4_/_ mice showed impaired IL- 21-induced Tfh cell differentiation in vivo. These results reveal broad cooperative gene regulation by STAT3 and IRF4."}
{"STANDARD_NAME":"GSE19198_1H_VS_6H_IL21_TREATED_TCELL_UP","SYSTEMATIC_NAME":"M7224","ORGANISM":"Mus musculus","PMID":"20064451","AUTHORS":"Kwon H,Thierry-Mieg D,Thierry-Mieg J,Kim HP,Oh J,Tunyaplin C,Carotta S,Donovan CE,Goldman ML,Tailor P,Ozato K,Levy DE,Nutt SL,Calame K,Leonard WJ","GEOID":"GSE19198","EXACT_SOURCE":"GSE19198_2367_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in T cells treated with IL21 [GeneID=59067]: 1h versus 6h.","DESCRIPTION_FULL":"Interleukin-21 (IL-21) is a pleiotropic cytokine that induces expression of transcription factor BLIMP1 (encoded by Prdm1), which regulates plasma cell differentiation and T cell homeostasis. We identified an IL-21 response element downstream of Prdm1 that binds the transcription factors STAT3 and IRF4, which are required for optimal Prdm1 expression. Genome-wide ChIP-Seq mapping of STAT3- and IRF4-binding sites showed that most regions with IL-21-induced STAT3 binding also bound IRF4 in vivo, and furthermore, revealed that the noncanonical TTCnnnTAA GAS motif critical in Prdm1 was broadly used for STAT3 binding. Comparing genome-wide expression array data to binding sites revealed that most IL-21-regulated genes were associated with combined STAT3-IRF4 sites rather than pure STAT3 sites. Correspondingly, ChIP-Seq analysis of Irf4_/_ T cells showed greatly diminished STAT3 binding after IL-21 treatment, and Irf4_/_ mice showed impaired IL- 21-induced Tfh cell differentiation in vivo. These results reveal broad cooperative gene regulation by STAT3 and IRF4."}
{"STANDARD_NAME":"GSE19198_CTRL_VS_IL21_TREATED_TCELL_1H_UP","SYSTEMATIC_NAME":"M7226","ORGANISM":"Mus musculus","PMID":"20064451","AUTHORS":"Kwon H,Thierry-Mieg D,Thierry-Mieg J,Kim HP,Oh J,Tunyaplin C,Carotta S,Donovan CE,Goldman ML,Tailor P,Ozato K,Levy DE,Nutt SL,Calame K,Leonard WJ","GEOID":"GSE19198","EXACT_SOURCE":"GSE19198_2364_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in T cells: control (0h) versus IL21 [GeneID=59067] treatment for 1h.","DESCRIPTION_FULL":"Interleukin-21 (IL-21) is a pleiotropic cytokine that induces expression of transcription factor BLIMP1 (encoded by Prdm1), which regulates plasma cell differentiation and T cell homeostasis. We identified an IL-21 response element downstream of Prdm1 that binds the transcription factors STAT3 and IRF4, which are required for optimal Prdm1 expression. Genome-wide ChIP-Seq mapping of STAT3- and IRF4-binding sites showed that most regions with IL-21-induced STAT3 binding also bound IRF4 in vivo, and furthermore, revealed that the noncanonical TTCnnnTAA GAS motif critical in Prdm1 was broadly used for STAT3 binding. Comparing genome-wide expression array data to binding sites revealed that most IL-21-regulated genes were associated with combined STAT3-IRF4 sites rather than pure STAT3 sites. Correspondingly, ChIP-Seq analysis of Irf4_/_ T cells showed greatly diminished STAT3 binding after IL-21 treatment, and Irf4_/_ mice showed impaired IL- 21-induced Tfh cell differentiation in vivo. These results reveal broad cooperative gene regulation by STAT3 and IRF4."}
{"STANDARD_NAME":"GSE19198_6H_VS_24H_IL21_TREATED_TCELL_UP","SYSTEMATIC_NAME":"M7227","ORGANISM":"Mus musculus","PMID":"20064451","AUTHORS":"Kwon H,Thierry-Mieg D,Thierry-Mieg J,Kim HP,Oh J,Tunyaplin C,Carotta S,Donovan CE,Goldman ML,Tailor P,Ozato K,Levy DE,Nutt SL,Calame K,Leonard WJ","GEOID":"GSE19198","EXACT_SOURCE":"GSE19198_2369_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in T cells treated with IL21 [GeneID=59067]: 6h versus 24h.","DESCRIPTION_FULL":"Interleukin-21 (IL-21) is a pleiotropic cytokine that induces expression of transcription factor BLIMP1 (encoded by Prdm1), which regulates plasma cell differentiation and T cell homeostasis. We identified an IL-21 response element downstream of Prdm1 that binds the transcription factors STAT3 and IRF4, which are required for optimal Prdm1 expression. Genome-wide ChIP-Seq mapping of STAT3- and IRF4-binding sites showed that most regions with IL-21-induced STAT3 binding also bound IRF4 in vivo, and furthermore, revealed that the noncanonical TTCnnnTAA GAS motif critical in Prdm1 was broadly used for STAT3 binding. Comparing genome-wide expression array data to binding sites revealed that most IL-21-regulated genes were associated with combined STAT3-IRF4 sites rather than pure STAT3 sites. Correspondingly, ChIP-Seq analysis of Irf4_/_ T cells showed greatly diminished STAT3 binding after IL-21 treatment, and Irf4_/_ mice showed impaired IL- 21-induced Tfh cell differentiation in vivo. These results reveal broad cooperative gene regulation by STAT3 and IRF4."}
{"STANDARD_NAME":"GSE19198_6H_VS_24H_IL21_TREATED_TCELL_DN","SYSTEMATIC_NAME":"M7228","ORGANISM":"Mus musculus","PMID":"20064451","AUTHORS":"Kwon H,Thierry-Mieg D,Thierry-Mieg J,Kim HP,Oh J,Tunyaplin C,Carotta S,Donovan CE,Goldman ML,Tailor P,Ozato K,Levy DE,Nutt SL,Calame K,Leonard WJ","GEOID":"GSE19198","EXACT_SOURCE":"GSE19198_2369_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in T cells treated with IL21 [GeneID=59067]: 6h versus 24h.","DESCRIPTION_FULL":"Interleukin-21 (IL-21) is a pleiotropic cytokine that induces expression of transcription factor BLIMP1 (encoded by Prdm1), which regulates plasma cell differentiation and T cell homeostasis. We identified an IL-21 response element downstream of Prdm1 that binds the transcription factors STAT3 and IRF4, which are required for optimal Prdm1 expression. Genome-wide ChIP-Seq mapping of STAT3- and IRF4-binding sites showed that most regions with IL-21-induced STAT3 binding also bound IRF4 in vivo, and furthermore, revealed that the noncanonical TTCnnnTAA GAS motif critical in Prdm1 was broadly used for STAT3 binding. Comparing genome-wide expression array data to binding sites revealed that most IL-21-regulated genes were associated with combined STAT3-IRF4 sites rather than pure STAT3 sites. Correspondingly, ChIP-Seq analysis of Irf4_/_ T cells showed greatly diminished STAT3 binding after IL-21 treatment, and Irf4_/_ mice showed impaired IL- 21-induced Tfh cell differentiation in vivo. These results reveal broad cooperative gene regulation by STAT3 and IRF4."}
{"STANDARD_NAME":"GSE19198_CTRL_VS_IL21_TREATED_TCELL_6H_DN","SYSTEMATIC_NAME":"M7229","ORGANISM":"Mus musculus","PMID":"20064451","AUTHORS":"Kwon H,Thierry-Mieg D,Thierry-Mieg J,Kim HP,Oh J,Tunyaplin C,Carotta S,Donovan CE,Goldman ML,Tailor P,Ozato K,Levy DE,Nutt SL,Calame K,Leonard WJ","GEOID":"GSE19198","EXACT_SOURCE":"GSE19198_2365_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in T cells: control (0h) versus IL21 [GeneID=59067] treatment for 6h.","DESCRIPTION_FULL":"Interleukin-21 (IL-21) is a pleiotropic cytokine that induces expression of transcription factor BLIMP1 (encoded by Prdm1), which regulates plasma cell differentiation and T cell homeostasis. We identified an IL-21 response element downstream of Prdm1 that binds the transcription factors STAT3 and IRF4, which are required for optimal Prdm1 expression. Genome-wide ChIP-Seq mapping of STAT3- and IRF4-binding sites showed that most regions with IL-21-induced STAT3 binding also bound IRF4 in vivo, and furthermore, revealed that the noncanonical TTCnnnTAA GAS motif critical in Prdm1 was broadly used for STAT3 binding. Comparing genome-wide expression array data to binding sites revealed that most IL-21-regulated genes were associated with combined STAT3-IRF4 sites rather than pure STAT3 sites. Correspondingly, ChIP-Seq analysis of Irf4_/_ T cells showed greatly diminished STAT3 binding after IL-21 treatment, and Irf4_/_ mice showed impaired IL- 21-induced Tfh cell differentiation in vivo. These results reveal broad cooperative gene regulation by STAT3 and IRF4."}
{"STANDARD_NAME":"GSE19198_1H_VS_24H_IL21_TREATED_TCELL_DN","SYSTEMATIC_NAME":"M7230","ORGANISM":"Mus musculus","PMID":"20064451","AUTHORS":"Kwon H,Thierry-Mieg D,Thierry-Mieg J,Kim HP,Oh J,Tunyaplin C,Carotta S,Donovan CE,Goldman ML,Tailor P,Ozato K,Levy DE,Nutt SL,Calame K,Leonard WJ","GEOID":"GSE19198","EXACT_SOURCE":"GSE19198_2368_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in T cells treated with IL21 [GeneID=59067]: 1h versus 24h.","DESCRIPTION_FULL":"Interleukin-21 (IL-21) is a pleiotropic cytokine that induces expression of transcription factor BLIMP1 (encoded by Prdm1), which regulates plasma cell differentiation and T cell homeostasis. We identified an IL-21 response element downstream of Prdm1 that binds the transcription factors STAT3 and IRF4, which are required for optimal Prdm1 expression. Genome-wide ChIP-Seq mapping of STAT3- and IRF4-binding sites showed that most regions with IL-21-induced STAT3 binding also bound IRF4 in vivo, and furthermore, revealed that the noncanonical TTCnnnTAA GAS motif critical in Prdm1 was broadly used for STAT3 binding. Comparing genome-wide expression array data to binding sites revealed that most IL-21-regulated genes were associated with combined STAT3-IRF4 sites rather than pure STAT3 sites. Correspondingly, ChIP-Seq analysis of Irf4_/_ T cells showed greatly diminished STAT3 binding after IL-21 treatment, and Irf4_/_ mice showed impaired IL- 21-induced Tfh cell differentiation in vivo. These results reveal broad cooperative gene regulation by STAT3 and IRF4."}
{"STANDARD_NAME":"GSE19198_CTRL_VS_IL21_TREATED_TCELL_24H_DN","SYSTEMATIC_NAME":"M7231","ORGANISM":"Mus musculus","PMID":"20064451","AUTHORS":"Kwon H,Thierry-Mieg D,Thierry-Mieg J,Kim HP,Oh J,Tunyaplin C,Carotta S,Donovan CE,Goldman ML,Tailor P,Ozato K,Levy DE,Nutt SL,Calame K,Leonard WJ","GEOID":"GSE19198","EXACT_SOURCE":"GSE19198_2366_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in T cells: control (0h) versus IL21 [GeneID=59067] for 24h.","DESCRIPTION_FULL":"Interleukin-21 (IL-21) is a pleiotropic cytokine that induces expression of transcription factor BLIMP1 (encoded by Prdm1), which regulates plasma cell differentiation and T cell homeostasis. We identified an IL-21 response element downstream of Prdm1 that binds the transcription factors STAT3 and IRF4, which are required for optimal Prdm1 expression. Genome-wide ChIP-Seq mapping of STAT3- and IRF4-binding sites showed that most regions with IL-21-induced STAT3 binding also bound IRF4 in vivo, and furthermore, revealed that the noncanonical TTCnnnTAA GAS motif critical in Prdm1 was broadly used for STAT3 binding. Comparing genome-wide expression array data to binding sites revealed that most IL-21-regulated genes were associated with combined STAT3-IRF4 sites rather than pure STAT3 sites. Correspondingly, ChIP-Seq analysis of Irf4_/_ T cells showed greatly diminished STAT3 binding after IL-21 treatment, and Irf4_/_ mice showed impaired IL- 21-induced Tfh cell differentiation in vivo. These results reveal broad cooperative gene regulation by STAT3 and IRF4."}
{"STANDARD_NAME":"GSE19198_1H_VS_6H_IL21_TREATED_TCELL_DN","SYSTEMATIC_NAME":"M7232","ORGANISM":"Mus musculus","PMID":"20064451","AUTHORS":"Kwon H,Thierry-Mieg D,Thierry-Mieg J,Kim HP,Oh J,Tunyaplin C,Carotta S,Donovan CE,Goldman ML,Tailor P,Ozato K,Levy DE,Nutt SL,Calame K,Leonard WJ","GEOID":"GSE19198","EXACT_SOURCE":"GSE19198_2367_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in T cells treated with IL21 [GeneID=59067]: 1h versus 6h.","DESCRIPTION_FULL":"Interleukin-21 (IL-21) is a pleiotropic cytokine that induces expression of transcription factor BLIMP1 (encoded by Prdm1), which regulates plasma cell differentiation and T cell homeostasis. We identified an IL-21 response element downstream of Prdm1 that binds the transcription factors STAT3 and IRF4, which are required for optimal Prdm1 expression. Genome-wide ChIP-Seq mapping of STAT3- and IRF4-binding sites showed that most regions with IL-21-induced STAT3 binding also bound IRF4 in vivo, and furthermore, revealed that the noncanonical TTCnnnTAA GAS motif critical in Prdm1 was broadly used for STAT3 binding. Comparing genome-wide expression array data to binding sites revealed that most IL-21-regulated genes were associated with combined STAT3-IRF4 sites rather than pure STAT3 sites. Correspondingly, ChIP-Seq analysis of Irf4_/_ T cells showed greatly diminished STAT3 binding after IL-21 treatment, and Irf4_/_ mice showed impaired IL- 21-induced Tfh cell differentiation in vivo. These results reveal broad cooperative gene regulation by STAT3 and IRF4."}
{"STANDARD_NAME":"GSE19198_CTRL_VS_IL21_TREATED_TCELL_24H_UP","SYSTEMATIC_NAME":"M7233","ORGANISM":"Mus musculus","PMID":"20064451","AUTHORS":"Kwon H,Thierry-Mieg D,Thierry-Mieg J,Kim HP,Oh J,Tunyaplin C,Carotta S,Donovan CE,Goldman ML,Tailor P,Ozato K,Levy DE,Nutt SL,Calame K,Leonard WJ","GEOID":"GSE19198","EXACT_SOURCE":"GSE19198_2366_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in T cells: control (0h) versus IL21 [GeneID=59067] for 24h.","DESCRIPTION_FULL":"Interleukin-21 (IL-21) is a pleiotropic cytokine that induces expression of transcription factor BLIMP1 (encoded by Prdm1), which regulates plasma cell differentiation and T cell homeostasis. We identified an IL-21 response element downstream of Prdm1 that binds the transcription factors STAT3 and IRF4, which are required for optimal Prdm1 expression. Genome-wide ChIP-Seq mapping of STAT3- and IRF4-binding sites showed that most regions with IL-21-induced STAT3 binding also bound IRF4 in vivo, and furthermore, revealed that the noncanonical TTCnnnTAA GAS motif critical in Prdm1 was broadly used for STAT3 binding. Comparing genome-wide expression array data to binding sites revealed that most IL-21-regulated genes were associated with combined STAT3-IRF4 sites rather than pure STAT3 sites. Correspondingly, ChIP-Seq analysis of Irf4_/_ T cells showed greatly diminished STAT3 binding after IL-21 treatment, and Irf4_/_ mice showed impaired IL- 21-induced Tfh cell differentiation in vivo. These results reveal broad cooperative gene regulation by STAT3 and IRF4."}
{"STANDARD_NAME":"GSE19198_1H_VS_24H_IL21_TREATED_TCELL_UP","SYSTEMATIC_NAME":"M7234","ORGANISM":"Mus musculus","PMID":"20064451","AUTHORS":"Kwon H,Thierry-Mieg D,Thierry-Mieg J,Kim HP,Oh J,Tunyaplin C,Carotta S,Donovan CE,Goldman ML,Tailor P,Ozato K,Levy DE,Nutt SL,Calame K,Leonard WJ","GEOID":"GSE19198","EXACT_SOURCE":"GSE19198_2368_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in T cells treated with IL21 [GeneID=59067]: 1h versus 24h.","DESCRIPTION_FULL":"Interleukin-21 (IL-21) is a pleiotropic cytokine that induces expression of transcription factor BLIMP1 (encoded by Prdm1), which regulates plasma cell differentiation and T cell homeostasis. We identified an IL-21 response element downstream of Prdm1 that binds the transcription factors STAT3 and IRF4, which are required for optimal Prdm1 expression. Genome-wide ChIP-Seq mapping of STAT3- and IRF4-binding sites showed that most regions with IL-21-induced STAT3 binding also bound IRF4 in vivo, and furthermore, revealed that the noncanonical TTCnnnTAA GAS motif critical in Prdm1 was broadly used for STAT3 binding. Comparing genome-wide expression array data to binding sites revealed that most IL-21-regulated genes were associated with combined STAT3-IRF4 sites rather than pure STAT3 sites. Correspondingly, ChIP-Seq analysis of Irf4_/_ T cells showed greatly diminished STAT3 binding after IL-21 treatment, and Irf4_/_ mice showed impaired IL- 21-induced Tfh cell differentiation in vivo. These results reveal broad cooperative gene regulation by STAT3 and IRF4."}
{"STANDARD_NAME":"GSE18281_SUBCAPSULAR_VS_PERIMEDULLARY_CORTICAL_REGION_OF_THYMUS_UP","SYSTEMATIC_NAME":"M7235","ORGANISM":"Mus musculus","PMID":"20064453","AUTHORS":"Griffith AV,Fallahi M,Nakase H,Gosink M,Young B,Petrie HT","GEOID":"GSE18281","EXACT_SOURCE":"GSE18281_2548_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in thymus cortical regions: subcapsular versus perimedullary.","DESCRIPTION_FULL":"Interaction of hematopoietic progenitors with the thymic stromal microenvironment induces them to proliferate, adopt the T cell fate, and asymmetrically diverge into multiple T lineages. Progenitors at various developmental stages are stratified among different regions of the thymus, implying that the corresponding microenvironments differ from one another, and provide unique sets of signals to progenitors migrating between them. The nature of these differences remains undefined. Here we use novel physical and computational approaches to characterize these stromal subregions, distinguishing gene expression in microdissected tissues from that of their lymphoid constituents. Using this approach, we comprehensively map gene expression in functionally distinct stromal microenvironments, and identify clusters of genes that define each region. Quite unexpectedly, we find that the central cortex lacks distinctive features of its own, and instead appears to function by sequestering unique microenvironments found at the cortical extremities, and modulating the relative proximity of progenitors moving between them."}
{"STANDARD_NAME":"GSE18281_SUBCAPSULAR_VS_CENTRAL_CORTICAL_REGION_OF_THYMUS_DN","SYSTEMATIC_NAME":"M7237","ORGANISM":"Mus musculus","PMID":"20064453","AUTHORS":"Griffith AV,Fallahi M,Nakase H,Gosink M,Young B,Petrie HT","GEOID":"GSE18281","EXACT_SOURCE":"GSE18281_2547_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in thymus cortical regions: subcapsular versus central cortical.","DESCRIPTION_FULL":"Interaction of hematopoietic progenitors with the thymic stromal microenvironment induces them to proliferate, adopt the T cell fate, and asymmetrically diverge into multiple T lineages. Progenitors at various developmental stages are stratified among different regions of the thymus, implying that the corresponding microenvironments differ from one another, and provide unique sets of signals to progenitors migrating between them. The nature of these differences remains undefined. Here we use novel physical and computational approaches to characterize these stromal subregions, distinguishing gene expression in microdissected tissues from that of their lymphoid constituents. Using this approach, we comprehensively map gene expression in functionally distinct stromal microenvironments, and identify clusters of genes that define each region. Quite unexpectedly, we find that the central cortex lacks distinctive features of its own, and instead appears to function by sequestering unique microenvironments found at the cortical extremities, and modulating the relative proximity of progenitors moving between them."}
{"STANDARD_NAME":"GSE18281_CORTICAL_THYMOCYTE_VS_WHOLE_CORTEX_THYMUS_UP","SYSTEMATIC_NAME":"M7238","ORGANISM":"Mus musculus","PMID":"20064453","AUTHORS":"Griffith AV,Fallahi M,Nakase H,Gosink M,Young B,Petrie HT","GEOID":"GSE18281","EXACT_SOURCE":"GSE18281_2557_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in cortical thymocytes versus thymus whole cortex.","DESCRIPTION_FULL":"Interaction of hematopoietic progenitors with the thymic stromal microenvironment induces them to proliferate, adopt the T cell fate, and asymmetrically diverge into multiple T lineages. Progenitors at various developmental stages are stratified among different regions of the thymus, implying that the corresponding microenvironments differ from one another, and provide unique sets of signals to progenitors migrating between them. The nature of these differences remains undefined. Here we use novel physical and computational approaches to characterize these stromal subregions, distinguishing gene expression in microdissected tissues from that of their lymphoid constituents. Using this approach, we comprehensively map gene expression in functionally distinct stromal microenvironments, and identify clusters of genes that define each region. Quite unexpectedly, we find that the central cortex lacks distinctive features of its own, and instead appears to function by sequestering unique microenvironments found at the cortical extremities, and modulating the relative proximity of progenitors moving between them."}
{"STANDARD_NAME":"GSE18281_CORTICAL_THYMOCYTE_VS_WHOLE_CORTEX_THYMUS_DN","SYSTEMATIC_NAME":"M7240","ORGANISM":"Mus musculus","PMID":"20064453","AUTHORS":"Griffith AV,Fallahi M,Nakase H,Gosink M,Young B,Petrie HT","GEOID":"GSE18281","EXACT_SOURCE":"GSE18281_2557_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in cortical thymocytes versus thymus whole cortex.","DESCRIPTION_FULL":"Interaction of hematopoietic progenitors with the thymic stromal microenvironment induces them to proliferate, adopt the T cell fate, and asymmetrically diverge into multiple T lineages. Progenitors at various developmental stages are stratified among different regions of the thymus, implying that the corresponding microenvironments differ from one another, and provide unique sets of signals to progenitors migrating between them. The nature of these differences remains undefined. Here we use novel physical and computational approaches to characterize these stromal subregions, distinguishing gene expression in microdissected tissues from that of their lymphoid constituents. Using this approach, we comprehensively map gene expression in functionally distinct stromal microenvironments, and identify clusters of genes that define each region. Quite unexpectedly, we find that the central cortex lacks distinctive features of its own, and instead appears to function by sequestering unique microenvironments found at the cortical extremities, and modulating the relative proximity of progenitors moving between them."}
{"STANDARD_NAME":"GSE18281_PERIMEDULLARY_CORTICAL_REGION_VS_WHOLE_MEDULLA_THYMUS_DN","SYSTEMATIC_NAME":"M7241","ORGANISM":"Mus musculus","PMID":"20064453","AUTHORS":"Griffith AV,Fallahi M,Nakase H,Gosink M,Young B,Petrie HT","GEOID":"GSE18281","EXACT_SOURCE":"GSE18281_2555_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in thymus perimedullary cortical region versus the whole medulla.","DESCRIPTION_FULL":"Interaction of hematopoietic progenitors with the thymic stromal microenvironment induces them to proliferate, adopt the T cell fate, and asymmetrically diverge into multiple T lineages. Progenitors at various developmental stages are stratified among different regions of the thymus, implying that the corresponding microenvironments differ from one another, and provide unique sets of signals to progenitors migrating between them. The nature of these differences remains undefined. Here we use novel physical and computational approaches to characterize these stromal subregions, distinguishing gene expression in microdissected tissues from that of their lymphoid constituents. Using this approach, we comprehensively map gene expression in functionally distinct stromal microenvironments, and identify clusters of genes that define each region. Quite unexpectedly, we find that the central cortex lacks distinctive features of its own, and instead appears to function by sequestering unique microenvironments found at the cortical extremities, and modulating the relative proximity of progenitors moving between them."}
{"STANDARD_NAME":"GSE18281_CORTEX_VS_MEDULLA_THYMUS_UP","SYSTEMATIC_NAME":"M7242","ORGANISM":"Mus musculus","PMID":"20064453","AUTHORS":"Griffith AV,Fallahi M,Nakase H,Gosink M,Young B,Petrie HT","GEOID":"GSE18281","EXACT_SOURCE":"GSE18281_2556_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in thymus: whole cortex versus whole medulla.","DESCRIPTION_FULL":"Interaction of hematopoietic progenitors with the thymic stromal microenvironment induces them to proliferate, adopt the T cell fate, and asymmetrically diverge into multiple T lineages. Progenitors at various developmental stages are stratified among different regions of the thymus, implying that the corresponding microenvironments differ from one another, and provide unique sets of signals to progenitors migrating between them. The nature of these differences remains undefined. Here we use novel physical and computational approaches to characterize these stromal subregions, distinguishing gene expression in microdissected tissues from that of their lymphoid constituents. Using this approach, we comprehensively map gene expression in functionally distinct stromal microenvironments, and identify clusters of genes that define each region. Quite unexpectedly, we find that the central cortex lacks distinctive features of its own, and instead appears to function by sequestering unique microenvironments found at the cortical extremities, and modulating the relative proximity of progenitors moving between them."}
{"STANDARD_NAME":"GSE18281_CORTEX_VS_MEDULLA_THYMUS_DN","SYSTEMATIC_NAME":"M7243","ORGANISM":"Mus musculus","PMID":"20064453","AUTHORS":"Griffith AV,Fallahi M,Nakase H,Gosink M,Young B,Petrie HT","GEOID":"GSE18281","EXACT_SOURCE":"GSE18281_2556_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in thymus: whole cortex versus whole medulla.","DESCRIPTION_FULL":"Interaction of hematopoietic progenitors with the thymic stromal microenvironment induces them to proliferate, adopt the T cell fate, and asymmetrically diverge into multiple T lineages. Progenitors at various developmental stages are stratified among different regions of the thymus, implying that the corresponding microenvironments differ from one another, and provide unique sets of signals to progenitors migrating between them. The nature of these differences remains undefined. Here we use novel physical and computational approaches to characterize these stromal subregions, distinguishing gene expression in microdissected tissues from that of their lymphoid constituents. Using this approach, we comprehensively map gene expression in functionally distinct stromal microenvironments, and identify clusters of genes that define each region. Quite unexpectedly, we find that the central cortex lacks distinctive features of its own, and instead appears to function by sequestering unique microenvironments found at the cortical extremities, and modulating the relative proximity of progenitors moving between them."}
{"STANDARD_NAME":"GSE18281_SUBCAPSULAR_VS_CENTRAL_CORTICAL_REGION_OF_THYMUS_UP","SYSTEMATIC_NAME":"M7244","ORGANISM":"Mus musculus","PMID":"20064453","AUTHORS":"Griffith AV,Fallahi M,Nakase H,Gosink M,Young B,Petrie HT","GEOID":"GSE18281","EXACT_SOURCE":"GSE18281_2547_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in thymus cortical regions: subcapsular versus central cortical.","DESCRIPTION_FULL":"Interaction of hematopoietic progenitors with the thymic stromal microenvironment induces them to proliferate, adopt the T cell fate, and asymmetrically diverge into multiple T lineages. Progenitors at various developmental stages are stratified among different regions of the thymus, implying that the corresponding microenvironments differ from one another, and provide unique sets of signals to progenitors migrating between them. The nature of these differences remains undefined. Here we use novel physical and computational approaches to characterize these stromal subregions, distinguishing gene expression in microdissected tissues from that of their lymphoid constituents. Using this approach, we comprehensively map gene expression in functionally distinct stromal microenvironments, and identify clusters of genes that define each region. Quite unexpectedly, we find that the central cortex lacks distinctive features of its own, and instead appears to function by sequestering unique microenvironments found at the cortical extremities, and modulating the relative proximity of progenitors moving between them."}
{"STANDARD_NAME":"GSE18281_MEDULLARY_THYMOCYTE_VS_WHOLE_MEDULLA_THYMUS_UP","SYSTEMATIC_NAME":"M7247","ORGANISM":"Mus musculus","PMID":"20064453","AUTHORS":"Griffith AV,Fallahi M,Nakase H,Gosink M,Young B,Petrie HT","GEOID":"GSE18281","EXACT_SOURCE":"GSE18281_2558_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in medullary thymocytes versus thymus whole medulla.","DESCRIPTION_FULL":"Interaction of hematopoietic progenitors with the thymic stromal microenvironment induces them to proliferate, adopt the T cell fate, and asymmetrically diverge into multiple T lineages. Progenitors at various developmental stages are stratified among different regions of the thymus, implying that the corresponding microenvironments differ from one another, and provide unique sets of signals to progenitors migrating between them. The nature of these differences remains undefined. Here we use novel physical and computational approaches to characterize these stromal subregions, distinguishing gene expression in microdissected tissues from that of their lymphoid constituents. Using this approach, we comprehensively map gene expression in functionally distinct stromal microenvironments, and identify clusters of genes that define each region. Quite unexpectedly, we find that the central cortex lacks distinctive features of its own, and instead appears to function by sequestering unique microenvironments found at the cortical extremities, and modulating the relative proximity of progenitors moving between them."}
{"STANDARD_NAME":"GSE18281_MEDULLARY_THYMOCYTE_VS_WHOLE_MEDULLA_THYMUS_DN","SYSTEMATIC_NAME":"M7249","ORGANISM":"Mus musculus","PMID":"20064453","AUTHORS":"Griffith AV,Fallahi M,Nakase H,Gosink M,Young B,Petrie HT","GEOID":"GSE18281","EXACT_SOURCE":"GSE18281_2558_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in medullary thymocytes versus thymus whole medulla.","DESCRIPTION_FULL":"Interaction of hematopoietic progenitors with the thymic stromal microenvironment induces them to proliferate, adopt the T cell fate, and asymmetrically diverge into multiple T lineages. Progenitors at various developmental stages are stratified among different regions of the thymus, implying that the corresponding microenvironments differ from one another, and provide unique sets of signals to progenitors migrating between them. The nature of these differences remains undefined. Here we use novel physical and computational approaches to characterize these stromal subregions, distinguishing gene expression in microdissected tissues from that of their lymphoid constituents. Using this approach, we comprehensively map gene expression in functionally distinct stromal microenvironments, and identify clusters of genes that define each region. Quite unexpectedly, we find that the central cortex lacks distinctive features of its own, and instead appears to function by sequestering unique microenvironments found at the cortical extremities, and modulating the relative proximity of progenitors moving between them."}
{"STANDARD_NAME":"GSE18281_SUBCAPSULAR_CORTICAL_REGION_VS_WHOLE_CORTEX_THYMUS_UP","SYSTEMATIC_NAME":"M7251","ORGANISM":"Mus musculus","PMID":"20064453","AUTHORS":"Griffith AV,Fallahi M,Nakase H,Gosink M,Young B,Petrie HT","GEOID":"GSE18281","EXACT_SOURCE":"GSE18281_2549_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in thymus subcapsular cortical region versus the whole cortex.","DESCRIPTION_FULL":"Interaction of hematopoietic progenitors with the thymic stromal microenvironment induces them to proliferate, adopt the T cell fate, and asymmetrically diverge into multiple T lineages. Progenitors at various developmental stages are stratified among different regions of the thymus, implying that the corresponding microenvironments differ from one another, and provide unique sets of signals to progenitors migrating between them. The nature of these differences remains undefined. Here we use novel physical and computational approaches to characterize these stromal subregions, distinguishing gene expression in microdissected tissues from that of their lymphoid constituents. Using this approach, we comprehensively map gene expression in functionally distinct stromal microenvironments, and identify clusters of genes that define each region. Quite unexpectedly, we find that the central cortex lacks distinctive features of its own, and instead appears to function by sequestering unique microenvironments found at the cortical extremities, and modulating the relative proximity of progenitors moving between them."}
{"STANDARD_NAME":"GSE18281_CORTICAL_VS_MEDULLARY_THYMOCYTE_UP","SYSTEMATIC_NAME":"M7252","ORGANISM":"Mus musculus","PMID":"20064453","AUTHORS":"Griffith AV,Fallahi M,Nakase H,Gosink M,Young B,Petrie HT","GEOID":"GSE18281","EXACT_SOURCE":"GSE18281_2546_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in thymocytes: cortical versus medullary sources.","DESCRIPTION_FULL":"Interaction of hematopoietic progenitors with the thymic stromal microenvironment induces them to proliferate, adopt the T cell fate, and asymmetrically diverge into multiple T lineages. Progenitors at various developmental stages are stratified among different regions of the thymus, implying that the corresponding microenvironments differ from one another, and provide unique sets of signals to progenitors migrating between them. The nature of these differences remains undefined. Here we use novel physical and computational approaches to characterize these stromal subregions, distinguishing gene expression in microdissected tissues from that of their lymphoid constituents. Using this approach, we comprehensively map gene expression in functionally distinct stromal microenvironments, and identify clusters of genes that define each region. Quite unexpectedly, we find that the central cortex lacks distinctive features of its own, and instead appears to function by sequestering unique microenvironments found at the cortical extremities, and modulating the relative proximity of progenitors moving between them."}
{"STANDARD_NAME":"GSE18281_SUBCAPSULAR_CORTICAL_REGION_VS_WHOLE_MEDULLA_THYMUS_UP","SYSTEMATIC_NAME":"M7254","ORGANISM":"Mus musculus","PMID":"20064453","AUTHORS":"Griffith AV,Fallahi M,Nakase H,Gosink M,Young B,Petrie HT","GEOID":"GSE18281","EXACT_SOURCE":"GSE18281_2550_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in thymus subcapsular cortical region versus the whole medulla.","DESCRIPTION_FULL":"Interaction of hematopoietic progenitors with the thymic stromal microenvironment induces them to proliferate, adopt the T cell fate, and asymmetrically diverge into multiple T lineages. Progenitors at various developmental stages are stratified among different regions of the thymus, implying that the corresponding microenvironments differ from one another, and provide unique sets of signals to progenitors migrating between them. The nature of these differences remains undefined. Here we use novel physical and computational approaches to characterize these stromal subregions, distinguishing gene expression in microdissected tissues from that of their lymphoid constituents. Using this approach, we comprehensively map gene expression in functionally distinct stromal microenvironments, and identify clusters of genes that define each region. Quite unexpectedly, we find that the central cortex lacks distinctive features of its own, and instead appears to function by sequestering unique microenvironments found at the cortical extremities, and modulating the relative proximity of progenitors moving between them."}
{"STANDARD_NAME":"GSE18281_SUBCAPSULAR_CORTICAL_REGION_VS_WHOLE_MEDULLA_THYMUS_DN","SYSTEMATIC_NAME":"M7255","ORGANISM":"Mus musculus","PMID":"20064453","AUTHORS":"Griffith AV,Fallahi M,Nakase H,Gosink M,Young B,Petrie HT","GEOID":"GSE18281","EXACT_SOURCE":"GSE18281_2550_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in thymus subcapsular cortical region versus the whole medulla.","DESCRIPTION_FULL":"Interaction of hematopoietic progenitors with the thymic stromal microenvironment induces them to proliferate, adopt the T cell fate, and asymmetrically diverge into multiple T lineages. Progenitors at various developmental stages are stratified among different regions of the thymus, implying that the corresponding microenvironments differ from one another, and provide unique sets of signals to progenitors migrating between them. The nature of these differences remains undefined. Here we use novel physical and computational approaches to characterize these stromal subregions, distinguishing gene expression in microdissected tissues from that of their lymphoid constituents. Using this approach, we comprehensively map gene expression in functionally distinct stromal microenvironments, and identify clusters of genes that define each region. Quite unexpectedly, we find that the central cortex lacks distinctive features of its own, and instead appears to function by sequestering unique microenvironments found at the cortical extremities, and modulating the relative proximity of progenitors moving between them."}
{"STANDARD_NAME":"GSE18281_PERIMEDULLARY_CORTICAL_REGION_VS_WHOLE_CORTEX_THYMUS_UP","SYSTEMATIC_NAME":"M7256","ORGANISM":"Mus musculus","PMID":"20064453","AUTHORS":"Griffith AV,Fallahi M,Nakase H,Gosink M,Young B,Petrie HT","GEOID":"GSE18281","EXACT_SOURCE":"GSE18281_2554_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in thymus perimedullary cortical region versus the whole cortex.","DESCRIPTION_FULL":"Interaction of hematopoietic progenitors with the thymic stromal microenvironment induces them to proliferate, adopt the T cell fate, and asymmetrically diverge into multiple T lineages. Progenitors at various developmental stages are stratified among different regions of the thymus, implying that the corresponding microenvironments differ from one another, and provide unique sets of signals to progenitors migrating between them. The nature of these differences remains undefined. Here we use novel physical and computational approaches to characterize these stromal subregions, distinguishing gene expression in microdissected tissues from that of their lymphoid constituents. Using this approach, we comprehensively map gene expression in functionally distinct stromal microenvironments, and identify clusters of genes that define each region. Quite unexpectedly, we find that the central cortex lacks distinctive features of its own, and instead appears to function by sequestering unique microenvironments found at the cortical extremities, and modulating the relative proximity of progenitors moving between them."}
{"STANDARD_NAME":"GSE18281_CORTICAL_VS_MEDULLARY_THYMOCYTE_DN","SYSTEMATIC_NAME":"M7258","ORGANISM":"Mus musculus","PMID":"20064453","AUTHORS":"Griffith AV,Fallahi M,Nakase H,Gosink M,Young B,Petrie HT","GEOID":"GSE18281","EXACT_SOURCE":"GSE18281_2546_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in thymocytes: cortical versus medullary sources.","DESCRIPTION_FULL":"Interaction of hematopoietic progenitors with the thymic stromal microenvironment induces them to proliferate, adopt the T cell fate, and asymmetrically diverge into multiple T lineages. Progenitors at various developmental stages are stratified among different regions of the thymus, implying that the corresponding microenvironments differ from one another, and provide unique sets of signals to progenitors migrating between them. The nature of these differences remains undefined. Here we use novel physical and computational approaches to characterize these stromal subregions, distinguishing gene expression in microdissected tissues from that of their lymphoid constituents. Using this approach, we comprehensively map gene expression in functionally distinct stromal microenvironments, and identify clusters of genes that define each region. Quite unexpectedly, we find that the central cortex lacks distinctive features of its own, and instead appears to function by sequestering unique microenvironments found at the cortical extremities, and modulating the relative proximity of progenitors moving between them."}
{"STANDARD_NAME":"GSE18281_PERIMEDULLARY_CORTICAL_REGION_VS_WHOLE_MEDULLA_THYMUS_UP","SYSTEMATIC_NAME":"M7259","ORGANISM":"Mus musculus","PMID":"20064453","AUTHORS":"Griffith AV,Fallahi M,Nakase H,Gosink M,Young B,Petrie HT","GEOID":"GSE18281","EXACT_SOURCE":"GSE18281_2555_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in thymus perimedullary cortical region versus the whole medulla.","DESCRIPTION_FULL":"Interaction of hematopoietic progenitors with the thymic stromal microenvironment induces them to proliferate, adopt the T cell fate, and asymmetrically diverge into multiple T lineages. Progenitors at various developmental stages are stratified among different regions of the thymus, implying that the corresponding microenvironments differ from one another, and provide unique sets of signals to progenitors migrating between them. The nature of these differences remains undefined. Here we use novel physical and computational approaches to characterize these stromal subregions, distinguishing gene expression in microdissected tissues from that of their lymphoid constituents. Using this approach, we comprehensively map gene expression in functionally distinct stromal microenvironments, and identify clusters of genes that define each region. Quite unexpectedly, we find that the central cortex lacks distinctive features of its own, and instead appears to function by sequestering unique microenvironments found at the cortical extremities, and modulating the relative proximity of progenitors moving between them."}
{"STANDARD_NAME":"GSE18281_SUBCAPSULAR_VS_PERIMEDULLARY_CORTICAL_REGION_OF_THYMUS_DN","SYSTEMATIC_NAME":"M7260","ORGANISM":"Mus musculus","PMID":"20064453","AUTHORS":"Griffith AV,Fallahi M,Nakase H,Gosink M,Young B,Petrie HT","GEOID":"GSE18281","EXACT_SOURCE":"GSE18281_2548_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in thymus cortical regions: subcapsular versus perimedullary.","DESCRIPTION_FULL":"Interaction of hematopoietic progenitors with the thymic stromal microenvironment induces them to proliferate, adopt the T cell fate, and asymmetrically diverge into multiple T lineages. Progenitors at various developmental stages are stratified among different regions of the thymus, implying that the corresponding microenvironments differ from one another, and provide unique sets of signals to progenitors migrating between them. The nature of these differences remains undefined. Here we use novel physical and computational approaches to characterize these stromal subregions, distinguishing gene expression in microdissected tissues from that of their lymphoid constituents. Using this approach, we comprehensively map gene expression in functionally distinct stromal microenvironments, and identify clusters of genes that define each region. Quite unexpectedly, we find that the central cortex lacks distinctive features of its own, and instead appears to function by sequestering unique microenvironments found at the cortical extremities, and modulating the relative proximity of progenitors moving between them."}
{"STANDARD_NAME":"GSE18281_SUBCAPSULAR_CORTICAL_REGION_VS_WHOLE_CORTEX_THYMUS_DN","SYSTEMATIC_NAME":"M7261","ORGANISM":"Mus musculus","PMID":"20064453","AUTHORS":"Griffith AV,Fallahi M,Nakase H,Gosink M,Young B,Petrie HT","GEOID":"GSE18281","EXACT_SOURCE":"GSE18281_2549_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in thymus subcapsular cortical region versus the whole cortex.","DESCRIPTION_FULL":"Interaction of hematopoietic progenitors with the thymic stromal microenvironment induces them to proliferate, adopt the T cell fate, and asymmetrically diverge into multiple T lineages. Progenitors at various developmental stages are stratified among different regions of the thymus, implying that the corresponding microenvironments differ from one another, and provide unique sets of signals to progenitors migrating between them. The nature of these differences remains undefined. Here we use novel physical and computational approaches to characterize these stromal subregions, distinguishing gene expression in microdissected tissues from that of their lymphoid constituents. Using this approach, we comprehensively map gene expression in functionally distinct stromal microenvironments, and identify clusters of genes that define each region. Quite unexpectedly, we find that the central cortex lacks distinctive features of its own, and instead appears to function by sequestering unique microenvironments found at the cortical extremities, and modulating the relative proximity of progenitors moving between them."}
{"STANDARD_NAME":"GSE18281_PERIMEDULLARY_CORTICAL_REGION_VS_WHOLE_CORTEX_THYMUS_DN","SYSTEMATIC_NAME":"M7263","ORGANISM":"Mus musculus","PMID":"20064453","AUTHORS":"Griffith AV,Fallahi M,Nakase H,Gosink M,Young B,Petrie HT","GEOID":"GSE18281","EXACT_SOURCE":"GSE18281_2554_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in thymus perimedullary cortical region versus the whole cortex.","DESCRIPTION_FULL":"Interaction of hematopoietic progenitors with the thymic stromal microenvironment induces them to proliferate, adopt the T cell fate, and asymmetrically diverge into multiple T lineages. Progenitors at various developmental stages are stratified among different regions of the thymus, implying that the corresponding microenvironments differ from one another, and provide unique sets of signals to progenitors migrating between them. The nature of these differences remains undefined. Here we use novel physical and computational approaches to characterize these stromal subregions, distinguishing gene expression in microdissected tissues from that of their lymphoid constituents. Using this approach, we comprehensively map gene expression in functionally distinct stromal microenvironments, and identify clusters of genes that define each region. Quite unexpectedly, we find that the central cortex lacks distinctive features of its own, and instead appears to function by sequestering unique microenvironments found at the cortical extremities, and modulating the relative proximity of progenitors moving between them."}
{"STANDARD_NAME":"GSE19374_UNINF_VS_LISTERIA_INFECTED_MACROPHAGE_UP","SYSTEMATIC_NAME":"M7264","ORGANISM":"Mus musculus","PMID":"20123961","AUTHORS":"Rayamajhi M,Humann J,Penheiter K,Andreasen K,Lenz LL","GEOID":"GSE19374","EXACT_SOURCE":"GSE19374_2404_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived macrophages: control versus Listeria infected.","DESCRIPTION_FULL":"Macrophages phagocytose bacteria. Certain pathogenic bacteria access and replicate within the cytosol of infected macrophages and induce changes in macrophage gene expression by triggering of innate immune receptors and/or the effects of bacterial virulence factors. We used microarray analysis to identify changes in macrophage gene expression following infection with Listeria monocytogenes."}
{"STANDARD_NAME":"GSE19374_UNINF_VS_LISTERIA_INFECTED_MACROPHAGE_DN","SYSTEMATIC_NAME":"M7265","ORGANISM":"Mus musculus","PMID":"20123961","AUTHORS":"Rayamajhi M,Humann J,Penheiter K,Andreasen K,Lenz LL","GEOID":"GSE19374","EXACT_SOURCE":"GSE19374_2404_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived macrophages: control versus Listeria infected.","DESCRIPTION_FULL":"Macrophages phagocytose bacteria. Certain pathogenic bacteria access and replicate within the cytosol of infected macrophages and induce changes in macrophage gene expression by triggering of innate immune receptors and/or the effects of bacterial virulence factors. We used microarray analysis to identify changes in macrophage gene expression following infection with Listeria monocytogenes."}
{"STANDARD_NAME":"GSE19923_E2A_KO_VS_HEB_AND_E2A_KO_DP_THYMOCYTE_DN","SYSTEMATIC_NAME":"M7266","ORGANISM":"Mus musculus","PMID":"20154672","AUTHORS":"D'Cruz LM,Knell J,Fujimoto JK,Goldrath AW","GEOID":"GSE19923","EXACT_SOURCE":"GSE19923_2930_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in double positive thymocytes: TCF3 [GeneID=6929] knockout versus TCF12 [GeneID=6938] knockout.","DESCRIPTION_FULL":"We wanted to test the role of mammalian E proteins E2A and HEB in the development of T cells. Using a conditional deletion system in which these proteins are deleted at the DP stage of T cell development, we compared DP thymocytes deficient for E2A, HEB or both to wild-type thymocytes"}
{"STANDARD_NAME":"GSE19923_WT_VS_E2A_KO_DP_THYMOCYTE_DN","SYSTEMATIC_NAME":"M7267","ORGANISM":"Mus musculus","PMID":"20154672","AUTHORS":"D'Cruz LM,Knell J,Fujimoto JK,Goldrath AW","GEOID":"GSE19923","EXACT_SOURCE":"GSE19923_2925_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in double positive thymocytes: wildtype versus TCF3 [GeneID=6929] knockout.","DESCRIPTION_FULL":"We wanted to test the role of mammalian E proteins E2A and HEB in the development of T cells. Using a conditional deletion system in which these proteins are deleted at the DP stage of T cell development, we compared DP thymocytes deficient for E2A, HEB or both to wild-type thymocytes"}
{"STANDARD_NAME":"GSE19923_WT_VS_E2A_KO_DP_THYMOCYTE_UP","SYSTEMATIC_NAME":"M7268","ORGANISM":"Mus musculus","PMID":"20154672","AUTHORS":"D'Cruz LM,Knell J,Fujimoto JK,Goldrath AW","GEOID":"GSE19923","EXACT_SOURCE":"GSE19923_2925_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in double positive thymocytes: wildtype versus TCF3 [GeneID=6929] knockout.","DESCRIPTION_FULL":"We wanted to test the role of mammalian E proteins E2A and HEB in the development of T cells. Using a conditional deletion system in which these proteins are deleted at the DP stage of T cell development, we compared DP thymocytes deficient for E2A, HEB or both to wild-type thymocytes"}
{"STANDARD_NAME":"GSE19923_WT_VS_HEB_AND_E2A_KO_DP_THYMOCYTE_DN","SYSTEMATIC_NAME":"M7269","ORGANISM":"Mus musculus","PMID":"20154672","AUTHORS":"D'Cruz LM,Knell J,Fujimoto JK,Goldrath AW","GEOID":"GSE19923","EXACT_SOURCE":"GSE19923_2927_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in double positive thymocytes: wildtype versus TCF3 and TCF12 [GeneID=6929;6938] knockout.","DESCRIPTION_FULL":"We wanted to test the role of mammalian E proteins E2A and HEB in the development of T cells. Using a conditional deletion system in which these proteins are deleted at the DP stage of T cell development, we compared DP thymocytes deficient for E2A, HEB or both to wild-type thymocytes"}
{"STANDARD_NAME":"GSE19923_HEB_KO_VS_HEB_AND_E2A_KO_DP_THYMOCYTE_UP","SYSTEMATIC_NAME":"M7270","ORGANISM":"Mus musculus","PMID":"20154672","AUTHORS":"D'Cruz LM,Knell J,Fujimoto JK,Goldrath AW","GEOID":"GSE19923","EXACT_SOURCE":"GSE19923_2929_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in double positive thymocytes: TCF12 [GeneID=6939] knockout versus TCF3 and TCF12 [GeneID=6929;6938] knockout.","DESCRIPTION_FULL":"We wanted to test the role of mammalian E proteins E2A and HEB in the development of T cells. Using a conditional deletion system in which these proteins are deleted at the DP stage of T cell development, we compared DP thymocytes deficient for E2A, HEB or both to wild-type thymocytes"}
{"STANDARD_NAME":"GSE19923_HEB_KO_VS_HEB_AND_E2A_KO_DP_THYMOCYTE_DN","SYSTEMATIC_NAME":"M7271","ORGANISM":"Mus musculus","PMID":"20154672","AUTHORS":"D'Cruz LM,Knell J,Fujimoto JK,Goldrath AW","GEOID":"GSE19923","EXACT_SOURCE":"GSE19923_2929_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in double positive thymocytes: TCF12 [GeneID=6939] knockout versus TCF3 and TCF12 [GeneID=6929;6938] knockout.","DESCRIPTION_FULL":"We wanted to test the role of mammalian E proteins E2A and HEB in the development of T cells. Using a conditional deletion system in which these proteins are deleted at the DP stage of T cell development, we compared DP thymocytes deficient for E2A, HEB or both to wild-type thymocytes"}
{"STANDARD_NAME":"GSE19923_WT_VS_HEB_AND_E2A_KO_DP_THYMOCYTE_UP","SYSTEMATIC_NAME":"M7273","ORGANISM":"Mus musculus","PMID":"20154672","AUTHORS":"D'Cruz LM,Knell J,Fujimoto JK,Goldrath AW","GEOID":"GSE19923","EXACT_SOURCE":"GSE19923_2927_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in double positive thymocytes: wildtype versus TCF3 and TCF12 [GeneID=6929;6938] knockout.","DESCRIPTION_FULL":"We wanted to test the role of mammalian E proteins E2A and HEB in the development of T cells. Using a conditional deletion system in which these proteins are deleted at the DP stage of T cell development, we compared DP thymocytes deficient for E2A, HEB or both to wild-type thymocytes"}
{"STANDARD_NAME":"GSE19923_E2A_KO_VS_HEB_AND_E2A_KO_DP_THYMOCYTE_UP","SYSTEMATIC_NAME":"M7274","ORGANISM":"Mus musculus","PMID":"20154672","AUTHORS":"D'Cruz LM,Knell J,Fujimoto JK,Goldrath AW","GEOID":"GSE19923","EXACT_SOURCE":"GSE19923_2930_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in double positive thymocytes: TCF3 [GeneID=6929] knockout versus TCF12 [GeneID=6938] knockout.","DESCRIPTION_FULL":"We wanted to test the role of mammalian E proteins E2A and HEB in the development of T cells. Using a conditional deletion system in which these proteins are deleted at the DP stage of T cell development, we compared DP thymocytes deficient for E2A, HEB or both to wild-type thymocytes"}
{"STANDARD_NAME":"GSE19923_E2A_KO_VS_E2A_AND_HEB_KO_DP_THYMOCYTE_UP","SYSTEMATIC_NAME":"M7275","ORGANISM":"Mus musculus","PMID":"20154672","AUTHORS":"D'Cruz LM,Knell J,Fujimoto JK,Goldrath AW","GEOID":"GSE19923","EXACT_SOURCE":"GSE19923_2928_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in double positve thymocyte: TCF3 [GeneID=6929] knockout versus TCF3 and TCF12 [GeneID=6929;6938] knockout.","DESCRIPTION_FULL":"We wanted to test the role of mammalian E proteins E2A and HEB in the development of T cells. Using a conditional deletion system in which these proteins are deleted at the DP stage of T cell development, we compared DP thymocytes deficient for E2A, HEB or both to wild-type thymocytes"}
{"STANDARD_NAME":"GSE19923_E2A_KO_VS_E2A_AND_HEB_KO_DP_THYMOCYTE_DN","SYSTEMATIC_NAME":"M7276","ORGANISM":"Mus musculus","PMID":"20154672","AUTHORS":"D'Cruz LM,Knell J,Fujimoto JK,Goldrath AW","GEOID":"GSE19923","EXACT_SOURCE":"GSE19923_2928_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in double positve thymocyte: TCF3 [GeneID=6929] knockout versus TCF3 and TCF12 [GeneID=6929;6938] knockout.","DESCRIPTION_FULL":"We wanted to test the role of mammalian E proteins E2A and HEB in the development of T cells. Using a conditional deletion system in which these proteins are deleted at the DP stage of T cell development, we compared DP thymocytes deficient for E2A, HEB or both to wild-type thymocytes"}
{"STANDARD_NAME":"GSE19923_WT_VS_HEB_KO_DP_THYMOCYTE_DN","SYSTEMATIC_NAME":"M7278","ORGANISM":"Mus musculus","PMID":"20154672","AUTHORS":"D'Cruz LM,Knell J,Fujimoto JK,Goldrath AW","GEOID":"GSE19923","EXACT_SOURCE":"GSE19923_2926_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in double positive thymocytes: wildtype versus TCF12 [GeneID=6938] knockout.","DESCRIPTION_FULL":"We wanted to test the role of mammalian E proteins E2A and HEB in the development of T cells. Using a conditional deletion system in which these proteins are deleted at the DP stage of T cell development, we compared DP thymocytes deficient for E2A, HEB or both to wild-type thymocytes"}
{"STANDARD_NAME":"GSE19923_WT_VS_HEB_KO_DP_THYMOCYTE_UP","SYSTEMATIC_NAME":"M7279","ORGANISM":"Mus musculus","PMID":"20154672","AUTHORS":"D'Cruz LM,Knell J,Fujimoto JK,Goldrath AW","GEOID":"GSE19923","EXACT_SOURCE":"GSE19923_2926_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in double positive thymocytes: wildtype versus TCF12 [GeneID=6938] knockout.","DESCRIPTION_FULL":"We wanted to test the role of mammalian E proteins E2A and HEB in the development of T cells. Using a conditional deletion system in which these proteins are deleted at the DP stage of T cell development, we compared DP thymocytes deficient for E2A, HEB or both to wild-type thymocytes"}
{"STANDARD_NAME":"GSE19772_CTRL_VS_HCMV_INF_MONOCYTES_AND_PI3K_INHIBITION_DN","SYSTEMATIC_NAME":"M7280","ORGANISM":"Homo sapiens","PMID":"20173022","AUTHORS":"Chan G,Nogalski MT,Bentz GL,Smith MS,Parmater A,Yurochko AD","GEOID":"GSE19772","EXACT_SOURCE":"GSE19772_3042_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in monocytes pre-treated with Ly294002 [PubChem=3973]: control versus HCMV infection.","DESCRIPTION_FULL":"Human cytomegalovirus (HCMV) induces pro-inflammatory monocytes following infection and we have evidence that phosphatidylinositol 3-kinase [PI(3)K] is a key mediator in this activation. To begin to address how this signalling pathway is responsible for the functional changes in infected monocytes, we examined the role this pathway played in the transcriptome of infected monocytes. Global transcriptional profiling using cDNA microarrays revealed a significant number of genes were regulated in a PI(3)K-dependent manner, identifying this pathway as a key cellular control point in the conversion of monocytes to an activated pro-inflammatory state following HCMV infection. "}
{"STANDARD_NAME":"GSE19772_CTRL_VS_HCMV_INF_MONOCYTES_UP","SYSTEMATIC_NAME":"M7282","ORGANISM":"Homo sapiens","PMID":"20173022","AUTHORS":"Chan G,Nogalski MT,Bentz GL,Smith MS,Parmater A,Yurochko AD","GEOID":"GSE19772","EXACT_SOURCE":"GSE19772_3041_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in monocytes: control versus HCMV infection.","DESCRIPTION_FULL":"Human cytomegalovirus (HCMV) induces pro-inflammatory monocytes following infection and we have evidence that phosphatidylinositol 3-kinase [PI(3)K] is a key mediator in this activation. To begin to address how this signalling pathway is responsible for the functional changes in infected monocytes, we examined the role this pathway played in the transcriptome of infected monocytes. Global transcriptional profiling using cDNA microarrays revealed a significant number of genes were regulated in a PI(3)K-dependent manner, identifying this pathway as a key cellular control point in the conversion of monocytes to an activated pro-inflammatory state following HCMV infection. "}
{"STANDARD_NAME":"GSE19772_HCMV_INFL_VS_HCMV_INF_MONOCYTES_AND_PI3K_INHIBITION_UP","SYSTEMATIC_NAME":"M7283","ORGANISM":"Homo sapiens","PMID":"20173022","AUTHORS":"Chan G,Nogalski MT,Bentz GL,Smith MS,Parmater A,Yurochko AD","GEOID":"GSE19772","EXACT_SOURCE":"GSE19772_3043_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in monocytes after HCMV infection: untreated versus pre-treated with Ly294002 [PubChem=3973].","DESCRIPTION_FULL":"Human cytomegalovirus (HCMV) induces pro-inflammatory monocytes following infection and we have evidence that phosphatidylinositol 3-kinase [PI(3)K] is a key mediator in this activation. To begin to address how this signalling pathway is responsible for the functional changes in infected monocytes, we examined the role this pathway played in the transcriptome of infected monocytes. Global transcriptional profiling using cDNA microarrays revealed a significant number of genes were regulated in a PI(3)K-dependent manner, identifying this pathway as a key cellular control point in the conversion of monocytes to an activated pro-inflammatory state following HCMV infection. "}
{"STANDARD_NAME":"GSE19772_HCMV_INFL_VS_HCMV_INF_MONOCYTES_AND_PI3K_INHIBITION_DN","SYSTEMATIC_NAME":"M7286","ORGANISM":"Homo sapiens","PMID":"20173022","AUTHORS":"Chan G,Nogalski MT,Bentz GL,Smith MS,Parmater A,Yurochko AD","GEOID":"GSE19772","EXACT_SOURCE":"GSE19772_3043_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in monocytes after HCMV infection: untreated versus pre-treated with Ly294002 [PubChem=3973].","DESCRIPTION_FULL":"Human cytomegalovirus (HCMV) induces pro-inflammatory monocytes following infection and we have evidence that phosphatidylinositol 3-kinase [PI(3)K] is a key mediator in this activation. To begin to address how this signalling pathway is responsible for the functional changes in infected monocytes, we examined the role this pathway played in the transcriptome of infected monocytes. Global transcriptional profiling using cDNA microarrays revealed a significant number of genes were regulated in a PI(3)K-dependent manner, identifying this pathway as a key cellular control point in the conversion of monocytes to an activated pro-inflammatory state following HCMV infection. "}
{"STANDARD_NAME":"GSE19772_CTRL_VS_HCMV_INF_MONOCYTES_DN","SYSTEMATIC_NAME":"M7287","ORGANISM":"Homo sapiens","PMID":"20173022","AUTHORS":"Chan G,Nogalski MT,Bentz GL,Smith MS,Parmater A,Yurochko AD","GEOID":"GSE19772","EXACT_SOURCE":"GSE19772_3041_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in monocytes: control versus HCMV infection.","DESCRIPTION_FULL":"Human cytomegalovirus (HCMV) induces pro-inflammatory monocytes following infection and we have evidence that phosphatidylinositol 3-kinase [PI(3)K] is a key mediator in this activation. To begin to address how this signalling pathway is responsible for the functional changes in infected monocytes, we examined the role this pathway played in the transcriptome of infected monocytes. Global transcriptional profiling using cDNA microarrays revealed a significant number of genes were regulated in a PI(3)K-dependent manner, identifying this pathway as a key cellular control point in the conversion of monocytes to an activated pro-inflammatory state following HCMV infection. "}
{"STANDARD_NAME":"GSE19772_CTRL_VS_HCMV_INF_MONOCYTES_AND_PI3K_INHIBITION_UP","SYSTEMATIC_NAME":"M7288","ORGANISM":"Homo sapiens","PMID":"20173022","AUTHORS":"Chan G,Nogalski MT,Bentz GL,Smith MS,Parmater A,Yurochko AD","GEOID":"GSE19772","EXACT_SOURCE":"GSE19772_3042_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in monocytes pre-treated with Ly294002 [PubChem=3973]: control versus HCMV infection.","DESCRIPTION_FULL":"Human cytomegalovirus (HCMV) induces pro-inflammatory monocytes following infection and we have evidence that phosphatidylinositol 3-kinase [PI(3)K] is a key mediator in this activation. To begin to address how this signalling pathway is responsible for the functional changes in infected monocytes, we examined the role this pathway played in the transcriptome of infected monocytes. Global transcriptional profiling using cDNA microarrays revealed a significant number of genes were regulated in a PI(3)K-dependent manner, identifying this pathway as a key cellular control point in the conversion of monocytes to an activated pro-inflammatory state following HCMV infection. "}
{"STANDARD_NAME":"GSE18893_TCONV_VS_TREG_24H_CULTURE_DN","SYSTEMATIC_NAME":"M7289","ORGANISM":"Homo sapiens","PMID":"20181891","AUTHORS":"Nagar M,Jacob-Hirsch J,Vernitsky H,Berkun Y,Ben-Horin S,Amariglio N,Bank I,Kloog Y,Rechavi G,Goldstein I","GEOID":"GSE18893","EXACT_SOURCE":"GSE18893_1274_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in lymphocytes treated with medium for 24h: T conv versus T reg cells.","DESCRIPTION_FULL":"Here we show that tumor necrosis factor (TNF) induced in human T-regulatory cells (Treg), as compared to conventional T cells (Tcon), a transcription program highly enriched for typical NF-κB target genes, such as: the cytokines LTA and TNF; the TNF-receptor super family members FAS, 4-1BB and OX-40; various anti-apoptotic genes; and other important immune-response genes. As an initial approach to examine the cellular program induced by TNF in Tregs versus Tcon cells, we employed microarray gene expression analysis at 2 and 24 hrs following TNF treatment."}
{"STANDARD_NAME":"GSE18893_TCONV_VS_TREG_24H_CULTURE_UP","SYSTEMATIC_NAME":"M7290","ORGANISM":"Homo sapiens","PMID":"20181891","AUTHORS":"Nagar M,Jacob-Hirsch J,Vernitsky H,Berkun Y,Ben-Horin S,Amariglio N,Bank I,Kloog Y,Rechavi G,Goldstein I","GEOID":"GSE18893","EXACT_SOURCE":"GSE18893_1274_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in lymphocytes treated with medium for 24h: T conv versus T reg cells.","DESCRIPTION_FULL":"Here we show that tumor necrosis factor (TNF) induced in human T-regulatory cells (Treg), as compared to conventional T cells (Tcon), a transcription program highly enriched for typical NF-κB target genes, such as: the cytokines LTA and TNF; the TNF-receptor super family members FAS, 4-1BB and OX-40; various anti-apoptotic genes; and other important immune-response genes. As an initial approach to examine the cellular program induced by TNF in Tregs versus Tcon cells, we employed microarray gene expression analysis at 2 and 24 hrs following TNF treatment."}
{"STANDARD_NAME":"GSE18893_TCONV_VS_TREG_24H_TNF_STIM_DN","SYSTEMATIC_NAME":"M7291","ORGANISM":"Homo sapiens","PMID":"20181891","AUTHORS":"Nagar M,Jacob-Hirsch J,Vernitsky H,Berkun Y,Ben-Horin S,Amariglio N,Bank I,Kloog Y,Rechavi G,Goldstein I","GEOID":"GSE18893","EXACT_SOURCE":"GSE18893_1280_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in lymphocytes treated with TNF [GeneID=7124] for 24h: T conv versus T reg cells.","DESCRIPTION_FULL":"Here we show that tumor necrosis factor (TNF) induced in human T-regulatory cells (Treg), as compared to conventional T cells (Tcon), a transcription program highly enriched for typical NF-κB target genes, such as: the cytokines LTA and TNF; the TNF-receptor super family members FAS, 4-1BB and OX-40; various anti-apoptotic genes; and other important immune-response genes. As an initial approach to examine the cellular program induced by TNF in Tregs versus Tcon cells, we employed microarray gene expression analysis at 2 and 24 hrs following TNF treatment."}
{"STANDARD_NAME":"GSE18893_TCONV_VS_TREG_2H_CULTURE_DN","SYSTEMATIC_NAME":"M7293","ORGANISM":"Homo sapiens","PMID":"20181891","AUTHORS":"Nagar M,Jacob-Hirsch J,Vernitsky H,Berkun Y,Ben-Horin S,Amariglio N,Bank I,Kloog Y,Rechavi G,Goldstein I","GEOID":"GSE18893","EXACT_SOURCE":"GSE18893_1273_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in lymphocytes treated with medium for 2h: T conv versus T reg cells.","DESCRIPTION_FULL":"Here we show that tumor necrosis factor (TNF) induced in human T-regulatory cells (Treg), as compared to conventional T cells (Tcon), a transcription program highly enriched for typical NF-κB target genes, such as: the cytokines LTA and TNF; the TNF-receptor super family members FAS, 4-1BB and OX-40; various anti-apoptotic genes; and other important immune-response genes. As an initial approach to examine the cellular program induced by TNF in Tregs versus Tcon cells, we employed microarray gene expression analysis at 2 and 24 hrs following TNF treatment."}
{"STANDARD_NAME":"GSE18893_CTRL_VS_TNF_TREATED_TREG_2H_UP","SYSTEMATIC_NAME":"M7294","ORGANISM":"Homo sapiens","PMID":"20181891","AUTHORS":"Nagar M,Jacob-Hirsch J,Vernitsky H,Berkun Y,Ben-Horin S,Amariglio N,Bank I,Kloog Y,Rechavi G,Goldstein I","GEOID":"GSE18893","EXACT_SOURCE":"GSE18893_1276_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in T reg cells (2h): medium versus TNF [GeneID=7124].","DESCRIPTION_FULL":"Here we show that tumor necrosis factor (TNF) induced in human T-regulatory cells (Treg), as compared to conventional T cells (Tcon), a transcription program highly enriched for typical NF-κB target genes, such as: the cytokines LTA and TNF; the TNF-receptor super family members FAS, 4-1BB and OX-40; various anti-apoptotic genes; and other important immune-response genes. As an initial approach to examine the cellular program induced by TNF in Tregs versus Tcon cells, we employed microarray gene expression analysis at 2 and 24 hrs following TNF treatment."}
{"STANDARD_NAME":"GSE18893_CTRL_VS_TNF_TREATED_TCONV_2H_UP","SYSTEMATIC_NAME":"M7295","ORGANISM":"Homo sapiens","PMID":"20181891","AUTHORS":"Nagar M,Jacob-Hirsch J,Vernitsky H,Berkun Y,Ben-Horin S,Amariglio N,Bank I,Kloog Y,Rechavi G,Goldstein I","GEOID":"GSE18893","EXACT_SOURCE":"GSE18893_1275_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in T conv cells (2h): medium versus TNF [GeneID=7124].","DESCRIPTION_FULL":"Here we show that tumor necrosis factor (TNF) induced in human T-regulatory cells (Treg), as compared to conventional T cells (Tcon), a transcription program highly enriched for typical NF-κB target genes, such as: the cytokines LTA and TNF; the TNF-receptor super family members FAS, 4-1BB and OX-40; various anti-apoptotic genes; and other important immune-response genes. As an initial approach to examine the cellular program induced by TNF in Tregs versus Tcon cells, we employed microarray gene expression analysis at 2 and 24 hrs following TNF treatment."}
{"STANDARD_NAME":"GSE18893_CTRL_VS_TNF_TREATED_TREG_24H_DN","SYSTEMATIC_NAME":"M7296","ORGANISM":"Homo sapiens","PMID":"20181891","AUTHORS":"Nagar M,Jacob-Hirsch J,Vernitsky H,Berkun Y,Ben-Horin S,Amariglio N,Bank I,Kloog Y,Rechavi G,Goldstein I","GEOID":"GSE18893","EXACT_SOURCE":"GSE18893_1278_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in T reg cells: 2h versus 24h medium treatment.","DESCRIPTION_FULL":"Here we show that tumor necrosis factor (TNF) induced in human T-regulatory cells (Treg), as compared to conventional T cells (Tcon), a transcription program highly enriched for typical NF-κB target genes, such as: the cytokines LTA and TNF; the TNF-receptor super family members FAS, 4-1BB and OX-40; various anti-apoptotic genes; and other important immune-response genes. As an initial approach to examine the cellular program induced by TNF in Tregs versus Tcon cells, we employed microarray gene expression analysis at 2 and 24 hrs following TNF treatment."}
{"STANDARD_NAME":"GSE18893_TCONV_VS_TREG_2H_TNF_STIM_UP","SYSTEMATIC_NAME":"M7297","ORGANISM":"Homo sapiens","PMID":"20181891","AUTHORS":"Nagar M,Jacob-Hirsch J,Vernitsky H,Berkun Y,Ben-Horin S,Amariglio N,Bank I,Kloog Y,Rechavi G,Goldstein I","GEOID":"GSE18893","EXACT_SOURCE":"GSE18893_1279_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in lymphocytes treated with TNF [GeneID=7124] for 2h: T conv versus T reg cells.","DESCRIPTION_FULL":"Here we show that tumor necrosis factor (TNF) induced in human T-regulatory cells (Treg), as compared to conventional T cells (Tcon), a transcription program highly enriched for typical NF-κB target genes, such as: the cytokines LTA and TNF; the TNF-receptor super family members FAS, 4-1BB and OX-40; various anti-apoptotic genes; and other important immune-response genes. As an initial approach to examine the cellular program induced by TNF in Tregs versus Tcon cells, we employed microarray gene expression analysis at 2 and 24 hrs following TNF treatment."}
{"STANDARD_NAME":"GSE18893_CTRL_VS_TNF_TREATED_TREG_24H_UP","SYSTEMATIC_NAME":"M7299","ORGANISM":"Homo sapiens","PMID":"20181891","AUTHORS":"Nagar M,Jacob-Hirsch J,Vernitsky H,Berkun Y,Ben-Horin S,Amariglio N,Bank I,Kloog Y,Rechavi G,Goldstein I","GEOID":"GSE18893","EXACT_SOURCE":"GSE18893_1278_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in T reg cells: 2h versus 24h medium treatment.","DESCRIPTION_FULL":"Here we show that tumor necrosis factor (TNF) induced in human T-regulatory cells (Treg), as compared to conventional T cells (Tcon), a transcription program highly enriched for typical NF-κB target genes, such as: the cytokines LTA and TNF; the TNF-receptor super family members FAS, 4-1BB and OX-40; various anti-apoptotic genes; and other important immune-response genes. As an initial approach to examine the cellular program induced by TNF in Tregs versus Tcon cells, we employed microarray gene expression analysis at 2 and 24 hrs following TNF treatment."}
{"STANDARD_NAME":"GSE18893_TCONV_VS_TREG_2H_CULTURE_UP","SYSTEMATIC_NAME":"M7301","ORGANISM":"Homo sapiens","PMID":"20181891","AUTHORS":"Nagar M,Jacob-Hirsch J,Vernitsky H,Berkun Y,Ben-Horin S,Amariglio N,Bank I,Kloog Y,Rechavi G,Goldstein I","GEOID":"GSE18893","EXACT_SOURCE":"GSE18893_1273_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in lymphocytes treated with medium for 2h: T conv versus T reg cells.","DESCRIPTION_FULL":"Here we show that tumor necrosis factor (TNF) induced in human T-regulatory cells (Treg), as compared to conventional T cells (Tcon), a transcription program highly enriched for typical NF-κB target genes, such as: the cytokines LTA and TNF; the TNF-receptor super family members FAS, 4-1BB and OX-40; various anti-apoptotic genes; and other important immune-response genes. As an initial approach to examine the cellular program induced by TNF in Tregs versus Tcon cells, we employed microarray gene expression analysis at 2 and 24 hrs following TNF treatment."}
{"STANDARD_NAME":"GSE18893_CTRL_VS_TNF_TREATED_TCONV_2H_DN","SYSTEMATIC_NAME":"M7302","ORGANISM":"Homo sapiens","PMID":"20181891","AUTHORS":"Nagar M,Jacob-Hirsch J,Vernitsky H,Berkun Y,Ben-Horin S,Amariglio N,Bank I,Kloog Y,Rechavi G,Goldstein I","GEOID":"GSE18893","EXACT_SOURCE":"GSE18893_1275_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in T conv cells (2h): medium versus TNF [GeneID=7124].","DESCRIPTION_FULL":"Here we show that tumor necrosis factor (TNF) induced in human T-regulatory cells (Treg), as compared to conventional T cells (Tcon), a transcription program highly enriched for typical NF-κB target genes, such as: the cytokines LTA and TNF; the TNF-receptor super family members FAS, 4-1BB and OX-40; various anti-apoptotic genes; and other important immune-response genes. As an initial approach to examine the cellular program induced by TNF in Tregs versus Tcon cells, we employed microarray gene expression analysis at 2 and 24 hrs following TNF treatment."}
{"STANDARD_NAME":"GSE18893_CTRL_VS_TNF_TREATED_TREG_2H_DN","SYSTEMATIC_NAME":"M7303","ORGANISM":"Homo sapiens","PMID":"20181891","AUTHORS":"Nagar M,Jacob-Hirsch J,Vernitsky H,Berkun Y,Ben-Horin S,Amariglio N,Bank I,Kloog Y,Rechavi G,Goldstein I","GEOID":"GSE18893","EXACT_SOURCE":"GSE18893_1276_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in T reg cells (2h): medium versus TNF [GeneID=7124].","DESCRIPTION_FULL":"Here we show that tumor necrosis factor (TNF) induced in human T-regulatory cells (Treg), as compared to conventional T cells (Tcon), a transcription program highly enriched for typical NF-κB target genes, such as: the cytokines LTA and TNF; the TNF-receptor super family members FAS, 4-1BB and OX-40; various anti-apoptotic genes; and other important immune-response genes. As an initial approach to examine the cellular program induced by TNF in Tregs versus Tcon cells, we employed microarray gene expression analysis at 2 and 24 hrs following TNF treatment."}
{"STANDARD_NAME":"GSE18893_CTRL_VS_TNF_TREATED_TCONV_24H_UP","SYSTEMATIC_NAME":"M7304","ORGANISM":"Homo sapiens","PMID":"20181891","AUTHORS":"Nagar M,Jacob-Hirsch J,Vernitsky H,Berkun Y,Ben-Horin S,Amariglio N,Bank I,Kloog Y,Rechavi G,Goldstein I","GEOID":"GSE18893","EXACT_SOURCE":"GSE18893_1277_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in T conv cells (24h): medium versus TNF [GeneID=7124].","DESCRIPTION_FULL":"Here we show that tumor necrosis factor (TNF) induced in human T-regulatory cells (Treg), as compared to conventional T cells (Tcon), a transcription program highly enriched for typical NF-κB target genes, such as: the cytokines LTA and TNF; the TNF-receptor super family members FAS, 4-1BB and OX-40; various anti-apoptotic genes; and other important immune-response genes. As an initial approach to examine the cellular program induced by TNF in Tregs versus Tcon cells, we employed microarray gene expression analysis at 2 and 24 hrs following TNF treatment."}
{"STANDARD_NAME":"GSE18893_CTRL_VS_TNF_TREATED_TCONV_24H_DN","SYSTEMATIC_NAME":"M7305","ORGANISM":"Homo sapiens","PMID":"20181891","AUTHORS":"Nagar M,Jacob-Hirsch J,Vernitsky H,Berkun Y,Ben-Horin S,Amariglio N,Bank I,Kloog Y,Rechavi G,Goldstein I","GEOID":"GSE18893","EXACT_SOURCE":"GSE18893_1277_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in T conv cells (24h): medium versus TNF [GeneID=7124].","DESCRIPTION_FULL":"Here we show that tumor necrosis factor (TNF) induced in human T-regulatory cells (Treg), as compared to conventional T cells (Tcon), a transcription program highly enriched for typical NF-κB target genes, such as: the cytokines LTA and TNF; the TNF-receptor super family members FAS, 4-1BB and OX-40; various anti-apoptotic genes; and other important immune-response genes. As an initial approach to examine the cellular program induced by TNF in Tregs versus Tcon cells, we employed microarray gene expression analysis at 2 and 24 hrs following TNF treatment."}
{"STANDARD_NAME":"GSE18893_TCONV_VS_TREG_2H_TNF_STIM_DN","SYSTEMATIC_NAME":"M7306","ORGANISM":"Homo sapiens","PMID":"20181891","AUTHORS":"Nagar M,Jacob-Hirsch J,Vernitsky H,Berkun Y,Ben-Horin S,Amariglio N,Bank I,Kloog Y,Rechavi G,Goldstein I","GEOID":"GSE18893","EXACT_SOURCE":"GSE18893_1279_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in lymphocytes treated with TNF [GeneID=7124] for 2h: T conv versus T reg cells.","DESCRIPTION_FULL":"Here we show that tumor necrosis factor (TNF) induced in human T-regulatory cells (Treg), as compared to conventional T cells (Tcon), a transcription program highly enriched for typical NF-κB target genes, such as: the cytokines LTA and TNF; the TNF-receptor super family members FAS, 4-1BB and OX-40; various anti-apoptotic genes; and other important immune-response genes. As an initial approach to examine the cellular program induced by TNF in Tregs versus Tcon cells, we employed microarray gene expression analysis at 2 and 24 hrs following TNF treatment."}
{"STANDARD_NAME":"GSE18893_TCONV_VS_TREG_24H_TNF_STIM_UP","SYSTEMATIC_NAME":"M7308","ORGANISM":"Homo sapiens","PMID":"20181891","AUTHORS":"Nagar M,Jacob-Hirsch J,Vernitsky H,Berkun Y,Ben-Horin S,Amariglio N,Bank I,Kloog Y,Rechavi G,Goldstein I","GEOID":"GSE18893","EXACT_SOURCE":"GSE18893_1280_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in lymphocytes treated with TNF [GeneID=7124] for 24h: T conv versus T reg cells.","DESCRIPTION_FULL":"Here we show that tumor necrosis factor (TNF) induced in human T-regulatory cells (Treg), as compared to conventional T cells (Tcon), a transcription program highly enriched for typical NF-κB target genes, such as: the cytokines LTA and TNF; the TNF-receptor super family members FAS, 4-1BB and OX-40; various anti-apoptotic genes; and other important immune-response genes. As an initial approach to examine the cellular program induced by TNF in Tregs versus Tcon cells, we employed microarray gene expression analysis at 2 and 24 hrs following TNF treatment."}
{"STANDARD_NAME":"GSE19888_CTRL_VS_A3R_INHIBITOR_TREATED_MAST_CELL_DN","SYSTEMATIC_NAME":"M7310","ORGANISM":"Homo sapiens","PMID":"20190146","AUTHORS":"Baram D,Dekel O,Mekori YA,Sagi-Eisenberg R","GEOID":"GSE19888","EXACT_SOURCE":"GSE19888_3592_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in HMC-1 (mast leukemia) cells: untreated versus incubated with the peptide ALL1.","DESCRIPTION_FULL":"We demonstrate that the G protein Gi3 is the cellular target of the adenosine A3 receptor (A3R). By using a cell permeable peptide comprising the C-terminal end of Gαi3 fused to an importation sequence (ALL1) as a selective inhibitor of Gi3 signaling, we show that by coupling to Gi3, the A3R stimulates multiple signaling pathways in human mast cells, leading to upregulation of cytokines, chemokines and growth factors.Following contact with activated T cell membranes, endogenous adenosine binds to and activates the A3R, resulting in Gi3-mediated signaling. Specifically, the majority of ERK1/2 signaling initiated by contact with activated T cell membranes, is mediated by Gi3, giving rise to ALL1-inhibitable cellular responses. These results unveil the physiological GPCR that couples to Gi3 and establish the important role played by this G-protein in inflammatory conditions that involve adenosine-activated mast cells. We used microarrays to detail the effect of ALL1 on gene expression of HMC-1 cells activated directly by the A3 receptor, or by contact with activated T cell membranes."}
{"STANDARD_NAME":"GSE19888_CTRL_VS_A3R_INHIBITOR_TREATED_MAST_CELL_UP","SYSTEMATIC_NAME":"M7311","ORGANISM":"Homo sapiens","PMID":"20190146","AUTHORS":"Baram D,Dekel O,Mekori YA,Sagi-Eisenberg R","GEOID":"GSE19888","EXACT_SOURCE":"GSE19888_3592_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in HMC-1 (mast leukemia) cells: untreated versus incubated with the peptide ALL1.","DESCRIPTION_FULL":"We demonstrate that the G protein Gi3 is the cellular target of the adenosine A3 receptor (A3R). By using a cell permeable peptide comprising the C-terminal end of Gαi3 fused to an importation sequence (ALL1) as a selective inhibitor of Gi3 signaling, we show that by coupling to Gi3, the A3R stimulates multiple signaling pathways in human mast cells, leading to upregulation of cytokines, chemokines and growth factors.Following contact with activated T cell membranes, endogenous adenosine binds to and activates the A3R, resulting in Gi3-mediated signaling. Specifically, the majority of ERK1/2 signaling initiated by contact with activated T cell membranes, is mediated by Gi3, giving rise to ALL1-inhibitable cellular responses. These results unveil the physiological GPCR that couples to Gi3 and establish the important role played by this G-protein in inflammatory conditions that involve adenosine-activated mast cells. We used microarrays to detail the effect of ALL1 on gene expression of HMC-1 cells activated directly by the A3 receptor, or by contact with activated T cell membranes."}
{"STANDARD_NAME":"GSE19888_ADENOSINE_A3R_INH_PRETREAT_AND_ACT_BY_A3R_VS_A3R_INH_AND_TCELL_MEMBRANES_ACT_MAST_CELL_UP","SYSTEMATIC_NAME":"M7313","ORGANISM":"Homo sapiens","PMID":"20190146","AUTHORS":"Baram D,Dekel O,Mekori YA,Sagi-Eisenberg R","GEOID":"GSE19888","EXACT_SOURCE":"GSE19888_3605_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in HMC-1 (mast leukemia) cells incubated with the peptide ALL1 followed by treatment with: Cl-IB-MECA [PubChem=3035850] versus T cell membranes.","DESCRIPTION_FULL":"We demonstrate that the G protein Gi3 is the cellular target of the adenosine A3 receptor (A3R). By using a cell permeable peptide comprising the C-terminal end of Gαi3 fused to an importation sequence (ALL1) as a selective inhibitor of Gi3 signaling, we show that by coupling to Gi3, the A3R stimulates multiple signaling pathways in human mast cells, leading to upregulation of cytokines, chemokines and growth factors.Following contact with activated T cell membranes, endogenous adenosine binds to and activates the A3R, resulting in Gi3-mediated signaling. Specifically, the majority of ERK1/2 signaling initiated by contact with activated T cell membranes, is mediated by Gi3, giving rise to ALL1-inhibitable cellular responses. These results unveil the physiological GPCR that couples to Gi3 and establish the important role played by this G-protein in inflammatory conditions that involve adenosine-activated mast cells. We used microarrays to detail the effect of ALL1 on gene expression of HMC-1 cells activated directly by the A3 receptor, or by contact with activated T cell membranes."}
{"STANDARD_NAME":"GSE19888_ADENOSINE_A3R_ACT_VS_A3R_ACT_WITH_A3R_INH_PRETREATMENT_IN_MAST_CELL_UP","SYSTEMATIC_NAME":"M7316","ORGANISM":"Homo sapiens","PMID":"20190146","AUTHORS":"Baram D,Dekel O,Mekori YA,Sagi-Eisenberg R","GEOID":"GSE19888","EXACT_SOURCE":"GSE19888_3601_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in HMC-1 (mast leukemia) cells: Cl-IB-MECA [PubChem=3035850] versus incubated with the ALL1 peptide followed by treatment with Cl-IB-MECA [PubChem=3035850].","DESCRIPTION_FULL":"We demonstrate that the G protein Gi3 is the cellular target of the adenosine A3 receptor (A3R). By using a cell permeable peptide comprising the C-terminal end of Gαi3 fused to an importation sequence (ALL1) as a selective inhibitor of Gi3 signaling, we show that by coupling to Gi3, the A3R stimulates multiple signaling pathways in human mast cells, leading to upregulation of cytokines, chemokines and growth factors.Following contact with activated T cell membranes, endogenous adenosine binds to and activates the A3R, resulting in Gi3-mediated signaling. Specifically, the majority of ERK1/2 signaling initiated by contact with activated T cell membranes, is mediated by Gi3, giving rise to ALL1-inhibitable cellular responses. These results unveil the physiological GPCR that couples to Gi3 and establish the important role played by this G-protein in inflammatory conditions that involve adenosine-activated mast cells. We used microarrays to detail the effect of ALL1 on gene expression of HMC-1 cells activated directly by the A3 receptor, or by contact with activated T cell membranes."}
{"STANDARD_NAME":"GSE19888_ADENOSINE_A3R_ACT_VS_TCELL_MEMBRANES_ACT_IN_MAST_CELL_DN","SYSTEMATIC_NAME":"M7317","ORGANISM":"Homo sapiens","PMID":"20190146","AUTHORS":"Baram D,Dekel O,Mekori YA,Sagi-Eisenberg R","GEOID":"GSE19888","EXACT_SOURCE":"GSE19888_3602_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in HMC-1 (mast leukemia) cells: Cl-IB-MECA [PubChem=3035850] versus T cell membranes.","DESCRIPTION_FULL":"We demonstrate that the G protein Gi3 is the cellular target of the adenosine A3 receptor (A3R). By using a cell permeable peptide comprising the C-terminal end of Gαi3 fused to an importation sequence (ALL1) as a selective inhibitor of Gi3 signaling, we show that by coupling to Gi3, the A3R stimulates multiple signaling pathways in human mast cells, leading to upregulation of cytokines, chemokines and growth factors.Following contact with activated T cell membranes, endogenous adenosine binds to and activates the A3R, resulting in Gi3-mediated signaling. Specifically, the majority of ERK1/2 signaling initiated by contact with activated T cell membranes, is mediated by Gi3, giving rise to ALL1-inhibitable cellular responses. These results unveil the physiological GPCR that couples to Gi3 and establish the important role played by this G-protein in inflammatory conditions that involve adenosine-activated mast cells. We used microarrays to detail the effect of ALL1 on gene expression of HMC-1 cells activated directly by the A3 receptor, or by contact with activated T cell membranes."}
{"STANDARD_NAME":"GSE19888_ADENOSINE_A3R_ACT_VS_TCELL_MEMBRANES_ACT_AND_A3R_INH_PRETREAT_IN_MAST_CELL_UP","SYSTEMATIC_NAME":"M7318","ORGANISM":"Homo sapiens","PMID":"20190146","AUTHORS":"Baram D,Dekel O,Mekori YA,Sagi-Eisenberg R","GEOID":"GSE19888","EXACT_SOURCE":"GSE19888_3603_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in HMC-1 (mast leukemia) cells: Cl-IB-MECA [PubChem=3035850] versus incubated with the peptide ALL1 followed by stimulation with T cell membranes.","DESCRIPTION_FULL":"We demonstrate that the G protein Gi3 is the cellular target of the adenosine A3 receptor (A3R). By using a cell permeable peptide comprising the C-terminal end of Gαi3 fused to an importation sequence (ALL1) as a selective inhibitor of Gi3 signaling, we show that by coupling to Gi3, the A3R stimulates multiple signaling pathways in human mast cells, leading to upregulation of cytokines, chemokines and growth factors.Following contact with activated T cell membranes, endogenous adenosine binds to and activates the A3R, resulting in Gi3-mediated signaling. Specifically, the majority of ERK1/2 signaling initiated by contact with activated T cell membranes, is mediated by Gi3, giving rise to ALL1-inhibitable cellular responses. These results unveil the physiological GPCR that couples to Gi3 and establish the important role played by this G-protein in inflammatory conditions that involve adenosine-activated mast cells. We used microarrays to detail the effect of ALL1 on gene expression of HMC-1 cells activated directly by the A3 receptor, or by contact with activated T cell membranes."}
{"STANDARD_NAME":"GSE19888_ADENOSINE_A3R_ACT_VS_TCELL_MEMBRANES_ACT_AND_A3R_INH_PRETREAT_IN_MAST_CELL_DN","SYSTEMATIC_NAME":"M7319","ORGANISM":"Homo sapiens","PMID":"20190146","AUTHORS":"Baram D,Dekel O,Mekori YA,Sagi-Eisenberg R","GEOID":"GSE19888","EXACT_SOURCE":"GSE19888_3603_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in HMC-1 (mast leukemia) cells: Cl-IB-MECA [PubChem=3035850] versus incubated with the peptide ALL1 followed by stimulation with T cell membranes.","DESCRIPTION_FULL":"We demonstrate that the G protein Gi3 is the cellular target of the adenosine A3 receptor (A3R). By using a cell permeable peptide comprising the C-terminal end of Gαi3 fused to an importation sequence (ALL1) as a selective inhibitor of Gi3 signaling, we show that by coupling to Gi3, the A3R stimulates multiple signaling pathways in human mast cells, leading to upregulation of cytokines, chemokines and growth factors.Following contact with activated T cell membranes, endogenous adenosine binds to and activates the A3R, resulting in Gi3-mediated signaling. Specifically, the majority of ERK1/2 signaling initiated by contact with activated T cell membranes, is mediated by Gi3, giving rise to ALL1-inhibitable cellular responses. These results unveil the physiological GPCR that couples to Gi3 and establish the important role played by this G-protein in inflammatory conditions that involve adenosine-activated mast cells. We used microarrays to detail the effect of ALL1 on gene expression of HMC-1 cells activated directly by the A3 receptor, or by contact with activated T cell membranes."}
{"STANDARD_NAME":"GSE19888_ADENOSINE_A3R_INH_PRETREAT_AND_ACT_BY_A3R_VS_TCELL_MEMBRANES_ACT_MAST_CELL_UP","SYSTEMATIC_NAME":"M7320","ORGANISM":"Homo sapiens","PMID":"20190146","AUTHORS":"Baram D,Dekel O,Mekori YA,Sagi-Eisenberg R","GEOID":"GSE19888","EXACT_SOURCE":"GSE19888_3604_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in HMC-1 (mast leukemia) cells: incubated with the peptide ALL1 and then treated with Cl-IB-MECA [PubChem=3035850] versus stimulation by T cell membranes.","DESCRIPTION_FULL":"We demonstrate that the G protein Gi3 is the cellular target of the adenosine A3 receptor (A3R). By using a cell permeable peptide comprising the C-terminal end of Gαi3 fused to an importation sequence (ALL1) as a selective inhibitor of Gi3 signaling, we show that by coupling to Gi3, the A3R stimulates multiple signaling pathways in human mast cells, leading to upregulation of cytokines, chemokines and growth factors.Following contact with activated T cell membranes, endogenous adenosine binds to and activates the A3R, resulting in Gi3-mediated signaling. Specifically, the majority of ERK1/2 signaling initiated by contact with activated T cell membranes, is mediated by Gi3, giving rise to ALL1-inhibitable cellular responses. These results unveil the physiological GPCR that couples to Gi3 and establish the important role played by this G-protein in inflammatory conditions that involve adenosine-activated mast cells. We used microarrays to detail the effect of ALL1 on gene expression of HMC-1 cells activated directly by the A3 receptor, or by contact with activated T cell membranes."}
{"STANDARD_NAME":"GSE19888_ADENOSINE_A3R_INH_PRETREAT_AND_ACT_BY_A3R_VS_TCELL_MEMBRANES_ACT_MAST_CELL_DN","SYSTEMATIC_NAME":"M7321","ORGANISM":"Homo sapiens","PMID":"20190146","AUTHORS":"Baram D,Dekel O,Mekori YA,Sagi-Eisenberg R","GEOID":"GSE19888","EXACT_SOURCE":"GSE19888_3604_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in HMC-1 (mast leukemia) cells: incubated with the peptide ALL1 and then treated with Cl-IB-MECA [PubChem=3035850] versus stimulation by T cell membranes.","DESCRIPTION_FULL":"We demonstrate that the G protein Gi3 is the cellular target of the adenosine A3 receptor (A3R). By using a cell permeable peptide comprising the C-terminal end of Gαi3 fused to an importation sequence (ALL1) as a selective inhibitor of Gi3 signaling, we show that by coupling to Gi3, the A3R stimulates multiple signaling pathways in human mast cells, leading to upregulation of cytokines, chemokines and growth factors.Following contact with activated T cell membranes, endogenous adenosine binds to and activates the A3R, resulting in Gi3-mediated signaling. Specifically, the majority of ERK1/2 signaling initiated by contact with activated T cell membranes, is mediated by Gi3, giving rise to ALL1-inhibitable cellular responses. These results unveil the physiological GPCR that couples to Gi3 and establish the important role played by this G-protein in inflammatory conditions that involve adenosine-activated mast cells. We used microarrays to detail the effect of ALL1 on gene expression of HMC-1 cells activated directly by the A3 receptor, or by contact with activated T cell membranes."}
{"STANDARD_NAME":"GSE19888_ADENOSINE_A3R_INH_VS_ACT_WITH_INHIBITOR_PRETREATMENT_IN_MAST_CELL_UP","SYSTEMATIC_NAME":"M7322","ORGANISM":"Homo sapiens","PMID":"20190146","AUTHORS":"Baram D,Dekel O,Mekori YA,Sagi-Eisenberg R","GEOID":"GSE19888","EXACT_SOURCE":"GSE19888_3598_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in HMC-1 (mast leukemia) cells incubated the peptide ALL1 versus those followed by treatment with Cl-IB-MECA [PubChem=3035850].","DESCRIPTION_FULL":"We demonstrate that the G protein Gi3 is the cellular target of the adenosine A3 receptor (A3R). By using a cell permeable peptide comprising the C-terminal end of Gαi3 fused to an importation sequence (ALL1) as a selective inhibitor of Gi3 signaling, we show that by coupling to Gi3, the A3R stimulates multiple signaling pathways in human mast cells, leading to upregulation of cytokines, chemokines and growth factors.Following contact with activated T cell membranes, endogenous adenosine binds to and activates the A3R, resulting in Gi3-mediated signaling. Specifically, the majority of ERK1/2 signaling initiated by contact with activated T cell membranes, is mediated by Gi3, giving rise to ALL1-inhibitable cellular responses. These results unveil the physiological GPCR that couples to Gi3 and establish the important role played by this G-protein in inflammatory conditions that involve adenosine-activated mast cells. We used microarrays to detail the effect of ALL1 on gene expression of HMC-1 cells activated directly by the A3 receptor, or by contact with activated T cell membranes."}
{"STANDARD_NAME":"GSE19888_ADENOSINE_A3R_INH_VS_ACT_WITH_INHIBITOR_PRETREATMENT_IN_MAST_CELL_DN","SYSTEMATIC_NAME":"M7323","ORGANISM":"Homo sapiens","PMID":"20190146","AUTHORS":"Baram D,Dekel O,Mekori YA,Sagi-Eisenberg R","GEOID":"GSE19888","EXACT_SOURCE":"GSE19888_3598_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in HMC-1 (mast leukemia) cells incubated the peptide ALL1 versus those followed by treatment with Cl-IB-MECA [PubChem=3035850].","DESCRIPTION_FULL":"We demonstrate that the G protein Gi3 is the cellular target of the adenosine A3 receptor (A3R). By using a cell permeable peptide comprising the C-terminal end of Gαi3 fused to an importation sequence (ALL1) as a selective inhibitor of Gi3 signaling, we show that by coupling to Gi3, the A3R stimulates multiple signaling pathways in human mast cells, leading to upregulation of cytokines, chemokines and growth factors.Following contact with activated T cell membranes, endogenous adenosine binds to and activates the A3R, resulting in Gi3-mediated signaling. Specifically, the majority of ERK1/2 signaling initiated by contact with activated T cell membranes, is mediated by Gi3, giving rise to ALL1-inhibitable cellular responses. These results unveil the physiological GPCR that couples to Gi3 and establish the important role played by this G-protein in inflammatory conditions that involve adenosine-activated mast cells. We used microarrays to detail the effect of ALL1 on gene expression of HMC-1 cells activated directly by the A3 receptor, or by contact with activated T cell membranes."}
{"STANDARD_NAME":"GSE19888_ADENOSINE_A3R_INH_VS_TCELL_MEMBRANES_ACT_MAST_CELL_UP","SYSTEMATIC_NAME":"M7324","ORGANISM":"Homo sapiens","PMID":"20190146","AUTHORS":"Baram D,Dekel O,Mekori YA,Sagi-Eisenberg R","GEOID":"GSE19888","EXACT_SOURCE":"GSE19888_3599_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in HMC-1 (mast leukemia) cells: incubated with the peptide ALL1 versus stimulated with T cell membranes.","DESCRIPTION_FULL":"We demonstrate that the G protein Gi3 is the cellular target of the adenosine A3 receptor (A3R). By using a cell permeable peptide comprising the C-terminal end of Gαi3 fused to an importation sequence (ALL1) as a selective inhibitor of Gi3 signaling, we show that by coupling to Gi3, the A3R stimulates multiple signaling pathways in human mast cells, leading to upregulation of cytokines, chemokines and growth factors.Following contact with activated T cell membranes, endogenous adenosine binds to and activates the A3R, resulting in Gi3-mediated signaling. Specifically, the majority of ERK1/2 signaling initiated by contact with activated T cell membranes, is mediated by Gi3, giving rise to ALL1-inhibitable cellular responses. These results unveil the physiological GPCR that couples to Gi3 and establish the important role played by this G-protein in inflammatory conditions that involve adenosine-activated mast cells. We used microarrays to detail the effect of ALL1 on gene expression of HMC-1 cells activated directly by the A3 receptor, or by contact with activated T cell membranes."}
{"STANDARD_NAME":"GSE19888_CTRL_VS_A3R_ACTIVATION_MAST_CELL_UP","SYSTEMATIC_NAME":"M7325","ORGANISM":"Homo sapiens","PMID":"20190146","AUTHORS":"Baram D,Dekel O,Mekori YA,Sagi-Eisenberg R","GEOID":"GSE19888","EXACT_SOURCE":"GSE19888_3593_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in HMC-1 (mast leukemia) cells: untreated versus Cl-IB-MECA [PubChem=3035850].","DESCRIPTION_FULL":"We demonstrate that the G protein Gi3 is the cellular target of the adenosine A3 receptor (A3R). By using a cell permeable peptide comprising the C-terminal end of Gαi3 fused to an importation sequence (ALL1) as a selective inhibitor of Gi3 signaling, we show that by coupling to Gi3, the A3R stimulates multiple signaling pathways in human mast cells, leading to upregulation of cytokines, chemokines and growth factors.Following contact with activated T cell membranes, endogenous adenosine binds to and activates the A3R, resulting in Gi3-mediated signaling. Specifically, the majority of ERK1/2 signaling initiated by contact with activated T cell membranes, is mediated by Gi3, giving rise to ALL1-inhibitable cellular responses. These results unveil the physiological GPCR that couples to Gi3 and establish the important role played by this G-protein in inflammatory conditions that involve adenosine-activated mast cells. We used microarrays to detail the effect of ALL1 on gene expression of HMC-1 cells activated directly by the A3 receptor, or by contact with activated T cell membranes."}
{"STANDARD_NAME":"GSE19888_CTRL_VS_A3R_ACTIVATION_MAST_CELL_DN","SYSTEMATIC_NAME":"M7326","ORGANISM":"Homo sapiens","PMID":"20190146","AUTHORS":"Baram D,Dekel O,Mekori YA,Sagi-Eisenberg R","GEOID":"GSE19888","EXACT_SOURCE":"GSE19888_3593_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in HMC-1 (mast leukemia) cells: untreated versus Cl-IB-MECA [PubChem=3035850].","DESCRIPTION_FULL":"We demonstrate that the G protein Gi3 is the cellular target of the adenosine A3 receptor (A3R). By using a cell permeable peptide comprising the C-terminal end of Gαi3 fused to an importation sequence (ALL1) as a selective inhibitor of Gi3 signaling, we show that by coupling to Gi3, the A3R stimulates multiple signaling pathways in human mast cells, leading to upregulation of cytokines, chemokines and growth factors.Following contact with activated T cell membranes, endogenous adenosine binds to and activates the A3R, resulting in Gi3-mediated signaling. Specifically, the majority of ERK1/2 signaling initiated by contact with activated T cell membranes, is mediated by Gi3, giving rise to ALL1-inhibitable cellular responses. These results unveil the physiological GPCR that couples to Gi3 and establish the important role played by this G-protein in inflammatory conditions that involve adenosine-activated mast cells. We used microarrays to detail the effect of ALL1 on gene expression of HMC-1 cells activated directly by the A3 receptor, or by contact with activated T cell membranes."}
{"STANDARD_NAME":"GSE19888_CTRL_VS_A3R_ACT_TREATED_MAST_CELL_PRETREATED_WITH_A3R_INH_UP","SYSTEMATIC_NAME":"M7329","ORGANISM":"Homo sapiens","PMID":"20190146","AUTHORS":"Baram D,Dekel O,Mekori YA,Sagi-Eisenberg R","GEOID":"GSE19888","EXACT_SOURCE":"GSE19888_3594_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in HMC-1 (mast leukemia) cells: untreated versus incubated with the peptide ALL1 followed by treatment with Cl-IB-MECA [PubChem=3035850].","DESCRIPTION_FULL":"We demonstrate that the G protein Gi3 is the cellular target of the adenosine A3 receptor (A3R). By using a cell permeable peptide comprising the C-terminal end of Gαi3 fused to an importation sequence (ALL1) as a selective inhibitor of Gi3 signaling, we show that by coupling to Gi3, the A3R stimulates multiple signaling pathways in human mast cells, leading to upregulation of cytokines, chemokines and growth factors.Following contact with activated T cell membranes, endogenous adenosine binds to and activates the A3R, resulting in Gi3-mediated signaling. Specifically, the majority of ERK1/2 signaling initiated by contact with activated T cell membranes, is mediated by Gi3, giving rise to ALL1-inhibitable cellular responses. These results unveil the physiological GPCR that couples to Gi3 and establish the important role played by this G-protein in inflammatory conditions that involve adenosine-activated mast cells. We used microarrays to detail the effect of ALL1 on gene expression of HMC-1 cells activated directly by the A3 receptor, or by contact with activated T cell membranes."}
{"STANDARD_NAME":"GSE19888_ADENOSINE_A3R_ACT_VS_A3R_ACT_WITH_A3R_INH_PRETREATMENT_IN_MAST_CELL_DN","SYSTEMATIC_NAME":"M7332","ORGANISM":"Homo sapiens","PMID":"20190146","AUTHORS":"Baram D,Dekel O,Mekori YA,Sagi-Eisenberg R","GEOID":"GSE19888","EXACT_SOURCE":"GSE19888_3601_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in HMC-1 (mast leukemia) cells: Cl-IB-MECA [PubChem=3035850] versus incubated with the ALL1 peptide followed by treatment with Cl-IB-MECA [PubChem=3035850].","DESCRIPTION_FULL":"We demonstrate that the G protein Gi3 is the cellular target of the adenosine A3 receptor (A3R). By using a cell permeable peptide comprising the C-terminal end of Gαi3 fused to an importation sequence (ALL1) as a selective inhibitor of Gi3 signaling, we show that by coupling to Gi3, the A3R stimulates multiple signaling pathways in human mast cells, leading to upregulation of cytokines, chemokines and growth factors.Following contact with activated T cell membranes, endogenous adenosine binds to and activates the A3R, resulting in Gi3-mediated signaling. Specifically, the majority of ERK1/2 signaling initiated by contact with activated T cell membranes, is mediated by Gi3, giving rise to ALL1-inhibitable cellular responses. These results unveil the physiological GPCR that couples to Gi3 and establish the important role played by this G-protein in inflammatory conditions that involve adenosine-activated mast cells. We used microarrays to detail the effect of ALL1 on gene expression of HMC-1 cells activated directly by the A3 receptor, or by contact with activated T cell membranes."}
{"STANDARD_NAME":"GSE19888_ADENOSINE_A3R_ACT_VS_TCELL_MEMBRANES_ACT_IN_MAST_CELL_UP","SYSTEMATIC_NAME":"M7333","ORGANISM":"Homo sapiens","PMID":"20190146","AUTHORS":"Baram D,Dekel O,Mekori YA,Sagi-Eisenberg R","GEOID":"GSE19888","EXACT_SOURCE":"GSE19888_3602_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in HMC-1 (mast leukemia) cells: Cl-IB-MECA [PubChem=3035850] versus T cell membranes.","DESCRIPTION_FULL":"We demonstrate that the G protein Gi3 is the cellular target of the adenosine A3 receptor (A3R). By using a cell permeable peptide comprising the C-terminal end of Gαi3 fused to an importation sequence (ALL1) as a selective inhibitor of Gi3 signaling, we show that by coupling to Gi3, the A3R stimulates multiple signaling pathways in human mast cells, leading to upregulation of cytokines, chemokines and growth factors.Following contact with activated T cell membranes, endogenous adenosine binds to and activates the A3R, resulting in Gi3-mediated signaling. Specifically, the majority of ERK1/2 signaling initiated by contact with activated T cell membranes, is mediated by Gi3, giving rise to ALL1-inhibitable cellular responses. These results unveil the physiological GPCR that couples to Gi3 and establish the important role played by this G-protein in inflammatory conditions that involve adenosine-activated mast cells. We used microarrays to detail the effect of ALL1 on gene expression of HMC-1 cells activated directly by the A3 receptor, or by contact with activated T cell membranes."}
{"STANDARD_NAME":"GSE19888_CTRL_VS_T_CELL_MEMBRANES_ACT_MAST_CELL_DN","SYSTEMATIC_NAME":"M7334","ORGANISM":"Homo sapiens","PMID":"20190146","AUTHORS":"Baram D,Dekel O,Mekori YA,Sagi-Eisenberg R","GEOID":"GSE19888","EXACT_SOURCE":"GSE19888_3595_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in HMC-1 (mast leukemia) cells: untreated versus stimulated with T cell membranes.","DESCRIPTION_FULL":"We demonstrate that the G protein Gi3 is the cellular target of the adenosine A3 receptor (A3R). By using a cell permeable peptide comprising the C-terminal end of Gαi3 fused to an importation sequence (ALL1) as a selective inhibitor of Gi3 signaling, we show that by coupling to Gi3, the A3R stimulates multiple signaling pathways in human mast cells, leading to upregulation of cytokines, chemokines and growth factors.Following contact with activated T cell membranes, endogenous adenosine binds to and activates the A3R, resulting in Gi3-mediated signaling. Specifically, the majority of ERK1/2 signaling initiated by contact with activated T cell membranes, is mediated by Gi3, giving rise to ALL1-inhibitable cellular responses. These results unveil the physiological GPCR that couples to Gi3 and establish the important role played by this G-protein in inflammatory conditions that involve adenosine-activated mast cells. We used microarrays to detail the effect of ALL1 on gene expression of HMC-1 cells activated directly by the A3 receptor, or by contact with activated T cell membranes."}
{"STANDARD_NAME":"GSE19888_CTRL_VS_TCELL_MEMBRANES_ACT_MAST_CELL_PRETREAT_A3R_INH_UP","SYSTEMATIC_NAME":"M7335","ORGANISM":"Homo sapiens","PMID":"20190146","AUTHORS":"Baram D,Dekel O,Mekori YA,Sagi-Eisenberg R","GEOID":"GSE19888","EXACT_SOURCE":"GSE19888_3596_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in HMC-1 (mast leukemia) cells: untreated versus incubated with the peptide ALL1 followed by stimulation with T cell membranes.","DESCRIPTION_FULL":"We demonstrate that the G protein Gi3 is the cellular target of the adenosine A3 receptor (A3R). By using a cell permeable peptide comprising the C-terminal end of Gαi3 fused to an importation sequence (ALL1) as a selective inhibitor of Gi3 signaling, we show that by coupling to Gi3, the A3R stimulates multiple signaling pathways in human mast cells, leading to upregulation of cytokines, chemokines and growth factors.Following contact with activated T cell membranes, endogenous adenosine binds to and activates the A3R, resulting in Gi3-mediated signaling. Specifically, the majority of ERK1/2 signaling initiated by contact with activated T cell membranes, is mediated by Gi3, giving rise to ALL1-inhibitable cellular responses. These results unveil the physiological GPCR that couples to Gi3 and establish the important role played by this G-protein in inflammatory conditions that involve adenosine-activated mast cells. We used microarrays to detail the effect of ALL1 on gene expression of HMC-1 cells activated directly by the A3 receptor, or by contact with activated T cell membranes."}
{"STANDARD_NAME":"GSE19888_CTRL_VS_TCELL_MEMBRANES_ACT_MAST_CELL_PRETREAT_A3R_INH_DN","SYSTEMATIC_NAME":"M7336","ORGANISM":"Homo sapiens","PMID":"20190146","AUTHORS":"Baram D,Dekel O,Mekori YA,Sagi-Eisenberg R","GEOID":"GSE19888","EXACT_SOURCE":"GSE19888_3596_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in HMC-1 (mast leukemia) cells: untreated versus incubated with the peptide ALL1 followed by stimulation with T cell membranes.","DESCRIPTION_FULL":"We demonstrate that the G protein Gi3 is the cellular target of the adenosine A3 receptor (A3R). By using a cell permeable peptide comprising the C-terminal end of Gαi3 fused to an importation sequence (ALL1) as a selective inhibitor of Gi3 signaling, we show that by coupling to Gi3, the A3R stimulates multiple signaling pathways in human mast cells, leading to upregulation of cytokines, chemokines and growth factors.Following contact with activated T cell membranes, endogenous adenosine binds to and activates the A3R, resulting in Gi3-mediated signaling. Specifically, the majority of ERK1/2 signaling initiated by contact with activated T cell membranes, is mediated by Gi3, giving rise to ALL1-inhibitable cellular responses. These results unveil the physiological GPCR that couples to Gi3 and establish the important role played by this G-protein in inflammatory conditions that involve adenosine-activated mast cells. We used microarrays to detail the effect of ALL1 on gene expression of HMC-1 cells activated directly by the A3 receptor, or by contact with activated T cell membranes."}
{"STANDARD_NAME":"GSE19888_ADENOSINE_A3R_INH_VS_ACT_IN_MAST_CELL_UP","SYSTEMATIC_NAME":"M7340","ORGANISM":"Homo sapiens","PMID":"20190146","AUTHORS":"Baram D,Dekel O,Mekori YA,Sagi-Eisenberg R","GEOID":"GSE19888","EXACT_SOURCE":"GSE19888_3597_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in HMC-1 (mast leukemia) cells incubated with: the peptide ALL1 versus Cl-IB-MECA [PubChem=3035850].","DESCRIPTION_FULL":"We demonstrate that the G protein Gi3 is the cellular target of the adenosine A3 receptor (A3R). By using a cell permeable peptide comprising the C-terminal end of Gαi3 fused to an importation sequence (ALL1) as a selective inhibitor of Gi3 signaling, we show that by coupling to Gi3, the A3R stimulates multiple signaling pathways in human mast cells, leading to upregulation of cytokines, chemokines and growth factors.Following contact with activated T cell membranes, endogenous adenosine binds to and activates the A3R, resulting in Gi3-mediated signaling. Specifically, the majority of ERK1/2 signaling initiated by contact with activated T cell membranes, is mediated by Gi3, giving rise to ALL1-inhibitable cellular responses. These results unveil the physiological GPCR that couples to Gi3 and establish the important role played by this G-protein in inflammatory conditions that involve adenosine-activated mast cells. We used microarrays to detail the effect of ALL1 on gene expression of HMC-1 cells activated directly by the A3 receptor, or by contact with activated T cell membranes."}
{"STANDARD_NAME":"GSE19888_ADENOSINE_A3R_INH_VS_ACT_IN_MAST_CELL_DN","SYSTEMATIC_NAME":"M7341","ORGANISM":"Homo sapiens","PMID":"20190146","AUTHORS":"Baram D,Dekel O,Mekori YA,Sagi-Eisenberg R","GEOID":"GSE19888","EXACT_SOURCE":"GSE19888_3597_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in HMC-1 (mast leukemia) cells incubated with: the peptide ALL1 versus Cl-IB-MECA [PubChem=3035850].","DESCRIPTION_FULL":"We demonstrate that the G protein Gi3 is the cellular target of the adenosine A3 receptor (A3R). By using a cell permeable peptide comprising the C-terminal end of Gαi3 fused to an importation sequence (ALL1) as a selective inhibitor of Gi3 signaling, we show that by coupling to Gi3, the A3R stimulates multiple signaling pathways in human mast cells, leading to upregulation of cytokines, chemokines and growth factors.Following contact with activated T cell membranes, endogenous adenosine binds to and activates the A3R, resulting in Gi3-mediated signaling. Specifically, the majority of ERK1/2 signaling initiated by contact with activated T cell membranes, is mediated by Gi3, giving rise to ALL1-inhibitable cellular responses. These results unveil the physiological GPCR that couples to Gi3 and establish the important role played by this G-protein in inflammatory conditions that involve adenosine-activated mast cells. We used microarrays to detail the effect of ALL1 on gene expression of HMC-1 cells activated directly by the A3 receptor, or by contact with activated T cell membranes."}
{"STANDARD_NAME":"GSE19888_ADENOSINE_A3R_INH_VS_INH_PRETREAT_AND_ACT_WITH_TCELL_MEMBRANES_MAST_CELL_UP","SYSTEMATIC_NAME":"M7342","ORGANISM":"Homo sapiens","PMID":"20190146","AUTHORS":"Baram D,Dekel O,Mekori YA,Sagi-Eisenberg R","GEOID":"GSE19888","EXACT_SOURCE":"GSE19888_3600_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in HMC-1 (mast leukemia) cells incubated with the peptide ALL1 versus those then stimulated by T cell membranes.","DESCRIPTION_FULL":"We demonstrate that the G protein Gi3 is the cellular target of the adenosine A3 receptor (A3R). By using a cell permeable peptide comprising the C-terminal end of Gαi3 fused to an importation sequence (ALL1) as a selective inhibitor of Gi3 signaling, we show that by coupling to Gi3, the A3R stimulates multiple signaling pathways in human mast cells, leading to upregulation of cytokines, chemokines and growth factors.Following contact with activated T cell membranes, endogenous adenosine binds to and activates the A3R, resulting in Gi3-mediated signaling. Specifically, the majority of ERK1/2 signaling initiated by contact with activated T cell membranes, is mediated by Gi3, giving rise to ALL1-inhibitable cellular responses. These results unveil the physiological GPCR that couples to Gi3 and establish the important role played by this G-protein in inflammatory conditions that involve adenosine-activated mast cells. We used microarrays to detail the effect of ALL1 on gene expression of HMC-1 cells activated directly by the A3 receptor, or by contact with activated T cell membranes."}
{"STANDARD_NAME":"GSE19888_ADENOSINE_A3R_INH_VS_INH_PRETREAT_AND_ACT_WITH_TCELL_MEMBRANES_MAST_CELL_DN","SYSTEMATIC_NAME":"M7345","ORGANISM":"Homo sapiens","PMID":"20190146","AUTHORS":"Baram D,Dekel O,Mekori YA,Sagi-Eisenberg R","GEOID":"GSE19888","EXACT_SOURCE":"GSE19888_3600_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in HMC-1 (mast leukemia) cells incubated with the peptide ALL1 versus those then stimulated by T cell membranes.","DESCRIPTION_FULL":"We demonstrate that the G protein Gi3 is the cellular target of the adenosine A3 receptor (A3R). By using a cell permeable peptide comprising the C-terminal end of Gαi3 fused to an importation sequence (ALL1) as a selective inhibitor of Gi3 signaling, we show that by coupling to Gi3, the A3R stimulates multiple signaling pathways in human mast cells, leading to upregulation of cytokines, chemokines and growth factors.Following contact with activated T cell membranes, endogenous adenosine binds to and activates the A3R, resulting in Gi3-mediated signaling. Specifically, the majority of ERK1/2 signaling initiated by contact with activated T cell membranes, is mediated by Gi3, giving rise to ALL1-inhibitable cellular responses. These results unveil the physiological GPCR that couples to Gi3 and establish the important role played by this G-protein in inflammatory conditions that involve adenosine-activated mast cells. We used microarrays to detail the effect of ALL1 on gene expression of HMC-1 cells activated directly by the A3 receptor, or by contact with activated T cell membranes."}
{"STANDARD_NAME":"GSE19888_NO_PRETREAT_VS_ADENOSINE_A3R_INHIBITOR_PRETREATED_MAST_CELL_TCELL_MEMBRANES_ACT_DN","SYSTEMATIC_NAME":"M7347","ORGANISM":"Homo sapiens","PMID":"20190146","AUTHORS":"Baram D,Dekel O,Mekori YA,Sagi-Eisenberg R","GEOID":"GSE19888","EXACT_SOURCE":"GSE19888_3606_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in HMC-1 (mast leukemia) cells: stimulated with T cell membranes versus incubated with the peptide ALL1 and then stimulated with T cell membranes.","DESCRIPTION_FULL":"We demonstrate that the G protein Gi3 is the cellular target of the adenosine A3 receptor (A3R). By using a cell permeable peptide comprising the C-terminal end of Gαi3 fused to an importation sequence (ALL1) as a selective inhibitor of Gi3 signaling, we show that by coupling to Gi3, the A3R stimulates multiple signaling pathways in human mast cells, leading to upregulation of cytokines, chemokines and growth factors.Following contact with activated T cell membranes, endogenous adenosine binds to and activates the A3R, resulting in Gi3-mediated signaling. Specifically, the majority of ERK1/2 signaling initiated by contact with activated T cell membranes, is mediated by Gi3, giving rise to ALL1-inhibitable cellular responses. These results unveil the physiological GPCR that couples to Gi3 and establish the important role played by this G-protein in inflammatory conditions that involve adenosine-activated mast cells. We used microarrays to detail the effect of ALL1 on gene expression of HMC-1 cells activated directly by the A3 receptor, or by contact with activated T cell membranes."}
{"STANDARD_NAME":"GSE19888_ADENOSINE_A3R_INH_VS_TCELL_MEMBRANES_ACT_MAST_CELL_DN","SYSTEMATIC_NAME":"M7350","ORGANISM":"Homo sapiens","PMID":"20190146","AUTHORS":"Baram D,Dekel O,Mekori YA,Sagi-Eisenberg R","GEOID":"GSE19888","EXACT_SOURCE":"GSE19888_3599_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in HMC-1 (mast leukemia) cells: incubated with the peptide ALL1 versus stimulated with T cell membranes.","DESCRIPTION_FULL":"We demonstrate that the G protein Gi3 is the cellular target of the adenosine A3 receptor (A3R). By using a cell permeable peptide comprising the C-terminal end of Gαi3 fused to an importation sequence (ALL1) as a selective inhibitor of Gi3 signaling, we show that by coupling to Gi3, the A3R stimulates multiple signaling pathways in human mast cells, leading to upregulation of cytokines, chemokines and growth factors.Following contact with activated T cell membranes, endogenous adenosine binds to and activates the A3R, resulting in Gi3-mediated signaling. Specifically, the majority of ERK1/2 signaling initiated by contact with activated T cell membranes, is mediated by Gi3, giving rise to ALL1-inhibitable cellular responses. These results unveil the physiological GPCR that couples to Gi3 and establish the important role played by this G-protein in inflammatory conditions that involve adenosine-activated mast cells. We used microarrays to detail the effect of ALL1 on gene expression of HMC-1 cells activated directly by the A3 receptor, or by contact with activated T cell membranes."}
{"STANDARD_NAME":"GSE19888_CTRL_VS_A3R_ACT_TREATED_MAST_CELL_PRETREATED_WITH_A3R_INH_DN","SYSTEMATIC_NAME":"M7351","ORGANISM":"Homo sapiens","PMID":"20190146","AUTHORS":"Baram D,Dekel O,Mekori YA,Sagi-Eisenberg R","GEOID":"GSE19888","EXACT_SOURCE":"GSE19888_3594_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in HMC-1 (mast leukemia) cells: untreated versus incubated with the peptide ALL1 followed by treatment with Cl-IB-MECA [PubChem=3035850].","DESCRIPTION_FULL":"We demonstrate that the G protein Gi3 is the cellular target of the adenosine A3 receptor (A3R). By using a cell permeable peptide comprising the C-terminal end of Gαi3 fused to an importation sequence (ALL1) as a selective inhibitor of Gi3 signaling, we show that by coupling to Gi3, the A3R stimulates multiple signaling pathways in human mast cells, leading to upregulation of cytokines, chemokines and growth factors.Following contact with activated T cell membranes, endogenous adenosine binds to and activates the A3R, resulting in Gi3-mediated signaling. Specifically, the majority of ERK1/2 signaling initiated by contact with activated T cell membranes, is mediated by Gi3, giving rise to ALL1-inhibitable cellular responses. These results unveil the physiological GPCR that couples to Gi3 and establish the important role played by this G-protein in inflammatory conditions that involve adenosine-activated mast cells. We used microarrays to detail the effect of ALL1 on gene expression of HMC-1 cells activated directly by the A3 receptor, or by contact with activated T cell membranes."}
{"STANDARD_NAME":"GSE19888_CTRL_VS_T_CELL_MEMBRANES_ACT_MAST_CELL_UP","SYSTEMATIC_NAME":"M7352","ORGANISM":"Homo sapiens","PMID":"20190146","AUTHORS":"Baram D,Dekel O,Mekori YA,Sagi-Eisenberg R","GEOID":"GSE19888","EXACT_SOURCE":"GSE19888_3595_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in HMC-1 (mast leukemia) cells: untreated versus stimulated with T cell membranes.","DESCRIPTION_FULL":"We demonstrate that the G protein Gi3 is the cellular target of the adenosine A3 receptor (A3R). By using a cell permeable peptide comprising the C-terminal end of Gαi3 fused to an importation sequence (ALL1) as a selective inhibitor of Gi3 signaling, we show that by coupling to Gi3, the A3R stimulates multiple signaling pathways in human mast cells, leading to upregulation of cytokines, chemokines and growth factors.Following contact with activated T cell membranes, endogenous adenosine binds to and activates the A3R, resulting in Gi3-mediated signaling. Specifically, the majority of ERK1/2 signaling initiated by contact with activated T cell membranes, is mediated by Gi3, giving rise to ALL1-inhibitable cellular responses. These results unveil the physiological GPCR that couples to Gi3 and establish the important role played by this G-protein in inflammatory conditions that involve adenosine-activated mast cells. We used microarrays to detail the effect of ALL1 on gene expression of HMC-1 cells activated directly by the A3 receptor, or by contact with activated T cell membranes."}
{"STANDARD_NAME":"GSE19888_ADENOSINE_A3R_INH_PRETREAT_AND_ACT_BY_A3R_VS_A3R_INH_AND_TCELL_MEMBRANES_ACT_MAST_CELL_DN","SYSTEMATIC_NAME":"M7353","ORGANISM":"Homo sapiens","PMID":"20190146","AUTHORS":"Baram D,Dekel O,Mekori YA,Sagi-Eisenberg R","GEOID":"GSE19888","EXACT_SOURCE":"GSE19888_3605_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in HMC-1 (mast leukemia) cells incubated with the peptide ALL1 followed by treatment with: Cl-IB-MECA [PubChem=3035850] versus T cell membranes.","DESCRIPTION_FULL":"We demonstrate that the G protein Gi3 is the cellular target of the adenosine A3 receptor (A3R). By using a cell permeable peptide comprising the C-terminal end of Gαi3 fused to an importation sequence (ALL1) as a selective inhibitor of Gi3 signaling, we show that by coupling to Gi3, the A3R stimulates multiple signaling pathways in human mast cells, leading to upregulation of cytokines, chemokines and growth factors.Following contact with activated T cell membranes, endogenous adenosine binds to and activates the A3R, resulting in Gi3-mediated signaling. Specifically, the majority of ERK1/2 signaling initiated by contact with activated T cell membranes, is mediated by Gi3, giving rise to ALL1-inhibitable cellular responses. These results unveil the physiological GPCR that couples to Gi3 and establish the important role played by this G-protein in inflammatory conditions that involve adenosine-activated mast cells. We used microarrays to detail the effect of ALL1 on gene expression of HMC-1 cells activated directly by the A3 receptor, or by contact with activated T cell membranes."}
{"STANDARD_NAME":"GSE19888_NO_PRETREAT_VS_ADENOSINE_A3R_INHIBITOR_PRETREATED_MAST_CELL_TCELL_MEMBRANES_ACT_UP","SYSTEMATIC_NAME":"M7354","ORGANISM":"Homo sapiens","PMID":"20190146","AUTHORS":"Baram D,Dekel O,Mekori YA,Sagi-Eisenberg R","GEOID":"GSE19888","EXACT_SOURCE":"GSE19888_3606_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in HMC-1 (mast leukemia) cells: stimulated with T cell membranes versus incubated with the peptide ALL1 and then stimulated with T cell membranes.","DESCRIPTION_FULL":"We demonstrate that the G protein Gi3 is the cellular target of the adenosine A3 receptor (A3R). By using a cell permeable peptide comprising the C-terminal end of Gαi3 fused to an importation sequence (ALL1) as a selective inhibitor of Gi3 signaling, we show that by coupling to Gi3, the A3R stimulates multiple signaling pathways in human mast cells, leading to upregulation of cytokines, chemokines and growth factors.Following contact with activated T cell membranes, endogenous adenosine binds to and activates the A3R, resulting in Gi3-mediated signaling. Specifically, the majority of ERK1/2 signaling initiated by contact with activated T cell membranes, is mediated by Gi3, giving rise to ALL1-inhibitable cellular responses. These results unveil the physiological GPCR that couples to Gi3 and establish the important role played by this G-protein in inflammatory conditions that involve adenosine-activated mast cells. We used microarrays to detail the effect of ALL1 on gene expression of HMC-1 cells activated directly by the A3 receptor, or by contact with activated T cell membranes."}
{"STANDARD_NAME":"GSE25890_CTRL_VS_IL33_IL7_TREATED_NUOCYTES_DN","SYSTEMATIC_NAME":"M7356","ORGANISM":"Mus musculus","PMID":"20200518","AUTHORS":"Neill DR,Wong SH,Bellosi A,Flynn RJ,Daly M,Langford TK,Bucks C,Kane CM,Fallon PG,Pannell R,Jolin HE,McKenzie AN","GEOID":"GSE25890","EXACT_SOURCE":"GSE25890_2642_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in nuocytes: control versus treated with IL7 and IL33 [GeneID=3574;90865].","DESCRIPTION_FULL":"Nuocytes are a recently described cell that responds to both IL-25 and IL-33 and produce high levels of IL-13 and IL-5"}
{"STANDARD_NAME":"GSE25890_CTRL_VS_IL33_IL7_TREATED_NUOCYTES_UP","SYSTEMATIC_NAME":"M7358","ORGANISM":"Mus musculus","PMID":"20200518","AUTHORS":"Neill DR,Wong SH,Bellosi A,Flynn RJ,Daly M,Langford TK,Bucks C,Kane CM,Fallon PG,Pannell R,Jolin HE,McKenzie AN","GEOID":"GSE25890","EXACT_SOURCE":"GSE25890_2642_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in nuocytes: control versus treated with IL7 and IL33 [GeneID=3574;90865].","DESCRIPTION_FULL":"Nuocytes are a recently described cell that responds to both IL-25 and IL-33 and produce high levels of IL-13 and IL-5"}
{"STANDARD_NAME":"GSE20198_UNTREATED_VS_IL12_TREATED_ACT_CD4_TCELL_DN","SYSTEMATIC_NAME":"M7361","ORGANISM":"Homo sapiens","PMID":"20304822","AUTHORS":"Filén S,Ylikoski E,Tripathi S,West A,Björkman M,Nyström J,Ahlfors H,Coffey E,Rao KV,Rasool O,Lahesmaa R","GEOID":"GSE20198","EXACT_SOURCE":"GSE20198_2508_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in the activated CD4 [GeneID=920] T cells (48h): control versus IL-12.","DESCRIPTION_FULL":"The aim of this study was to identify genes regulated by IL-12, IL-18 and IFN-alpha during early differentiation of human Th1 cells"}
{"STANDARD_NAME":"GSE20198_UNTREATED_VS_IL12_TREATED_ACT_CD4_TCELL_UP","SYSTEMATIC_NAME":"M7365","ORGANISM":"Homo sapiens","PMID":"20304822","AUTHORS":"Filén S,Ylikoski E,Tripathi S,West A,Björkman M,Nyström J,Ahlfors H,Coffey E,Rao KV,Rasool O,Lahesmaa R","GEOID":"GSE20198","EXACT_SOURCE":"GSE20198_2508_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in the activated CD4 [GeneID=920] T cells (48h): control versus IL-12.","DESCRIPTION_FULL":"The aim of this study was to identify genes regulated by IL-12, IL-18 and IFN-alpha during early differentiation of human Th1 cells"}
{"STANDARD_NAME":"GSE20198_UNTREATED_VS_IFNA_TREATED_ACT_CD4_TCELL_UP","SYSTEMATIC_NAME":"M7366","ORGANISM":"Homo sapiens","PMID":"20304822","AUTHORS":"Filén S,Ylikoski E,Tripathi S,West A,Björkman M,Nyström J,Ahlfors H,Coffey E,Rao KV,Rasool O,Lahesmaa R","GEOID":"GSE20198","EXACT_SOURCE":"GSE20198_2510_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in the activated CD4 [GeneID=920] T cells (48h): control versus interferon alpha.","DESCRIPTION_FULL":"The aim of this study was to identify genes regulated by IL-12, IL-18 and IFN-alpha during early differentiation of human Th1 cells"}
{"STANDARD_NAME":"GSE20198_IL12_VS_IFNA_TREATED_ACT_CD4_TCELL_UP","SYSTEMATIC_NAME":"M7367","ORGANISM":"Homo sapiens","PMID":"20304822","AUTHORS":"Filén S,Ylikoski E,Tripathi S,West A,Björkman M,Nyström J,Ahlfors H,Coffey E,Rao KV,Rasool O,Lahesmaa R","GEOID":"GSE20198","EXACT_SOURCE":"GSE20198_2512_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in the activated CD4 [GeneID=920] T cells (48h): IL-12 versus interferon alpha.","DESCRIPTION_FULL":"The aim of this study was to identify genes regulated by IL-12, IL-18 and IFN-alpha during early differentiation of human Th1 cells"}
{"STANDARD_NAME":"GSE20198_IL12_IL18_VS_IFNA_TREATED_ACT_CD4_TCELL_DN","SYSTEMATIC_NAME":"M7369","ORGANISM":"Homo sapiens","PMID":"20304822","AUTHORS":"Filén S,Ylikoski E,Tripathi S,West A,Björkman M,Nyström J,Ahlfors H,Coffey E,Rao KV,Rasool O,Lahesmaa R","GEOID":"GSE20198","EXACT_SOURCE":"GSE20198_2513_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in the activated CD4 [GeneID=920] T cells (48h): IL-12 and IL18 [GeneID=3606] versus interferon alpha.","DESCRIPTION_FULL":"The aim of this study was to identify genes regulated by IL-12, IL-18 and IFN-alpha during early differentiation of human Th1 cells"}
{"STANDARD_NAME":"GSE20198_IL12_IL18_VS_IFNA_TREATED_ACT_CD4_TCELL_UP","SYSTEMATIC_NAME":"M7370","ORGANISM":"Homo sapiens","PMID":"20304822","AUTHORS":"Filén S,Ylikoski E,Tripathi S,West A,Björkman M,Nyström J,Ahlfors H,Coffey E,Rao KV,Rasool O,Lahesmaa R","GEOID":"GSE20198","EXACT_SOURCE":"GSE20198_2513_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in the activated CD4 [GeneID=920] T cells (48h): IL-12 and IL18 [GeneID=3606] versus interferon alpha.","DESCRIPTION_FULL":"The aim of this study was to identify genes regulated by IL-12, IL-18 and IFN-alpha during early differentiation of human Th1 cells"}
{"STANDARD_NAME":"GSE20198_IL12_VS_IL12_IL18_TREATED_ACT_CD4_TCELL_DN","SYSTEMATIC_NAME":"M7372","ORGANISM":"Homo sapiens","PMID":"20304822","AUTHORS":"Filén S,Ylikoski E,Tripathi S,West A,Björkman M,Nyström J,Ahlfors H,Coffey E,Rao KV,Rasool O,Lahesmaa R","GEOID":"GSE20198","EXACT_SOURCE":"GSE20198_2511_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in the activated CD4 [GeneID=920] T cells (48h): IL-12 versus IL-12 and IL18 [GeneID=3606].","DESCRIPTION_FULL":"The aim of this study was to identify genes regulated by IL-12, IL-18 and IFN-alpha during early differentiation of human Th1 cells"}
{"STANDARD_NAME":"GSE20198_UNTREATED_VS_IL12_IL18_TREATED_ACT_CD4_TCELL_DN","SYSTEMATIC_NAME":"M7373","ORGANISM":"Homo sapiens","PMID":"20304822","AUTHORS":"Filén S,Ylikoski E,Tripathi S,West A,Björkman M,Nyström J,Ahlfors H,Coffey E,Rao KV,Rasool O,Lahesmaa R","GEOID":"GSE20198","EXACT_SOURCE":"GSE20198_2509_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in the activated CD4 [GeneID=920] T cells (48h): control versus IL-12 and IL18 [GeneID=3606].","DESCRIPTION_FULL":"The aim of this study was to identify genes regulated by IL-12, IL-18 and IFN-alpha during early differentiation of human Th1 cells"}
{"STANDARD_NAME":"GSE20198_IL12_VS_IFNA_TREATED_ACT_CD4_TCELL_DN","SYSTEMATIC_NAME":"M7374","ORGANISM":"Homo sapiens","PMID":"20304822","AUTHORS":"Filén S,Ylikoski E,Tripathi S,West A,Björkman M,Nyström J,Ahlfors H,Coffey E,Rao KV,Rasool O,Lahesmaa R","GEOID":"GSE20198","EXACT_SOURCE":"GSE20198_2512_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in the activated CD4 [GeneID=920] T cells (48h): IL-12 versus interferon alpha.","DESCRIPTION_FULL":"The aim of this study was to identify genes regulated by IL-12, IL-18 and IFN-alpha during early differentiation of human Th1 cells"}
{"STANDARD_NAME":"GSE20198_UNTREATED_VS_IFNA_TREATED_ACT_CD4_TCELL_DN","SYSTEMATIC_NAME":"M7376","ORGANISM":"Homo sapiens","PMID":"20304822","AUTHORS":"Filén S,Ylikoski E,Tripathi S,West A,Björkman M,Nyström J,Ahlfors H,Coffey E,Rao KV,Rasool O,Lahesmaa R","GEOID":"GSE20198","EXACT_SOURCE":"GSE20198_2510_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in the activated CD4 [GeneID=920] T cells (48h): control versus interferon alpha.","DESCRIPTION_FULL":"The aim of this study was to identify genes regulated by IL-12, IL-18 and IFN-alpha during early differentiation of human Th1 cells"}
{"STANDARD_NAME":"GSE20198_UNTREATED_VS_IL12_IL18_TREATED_ACT_CD4_TCELL_UP","SYSTEMATIC_NAME":"M7379","ORGANISM":"Homo sapiens","PMID":"20304822","AUTHORS":"Filén S,Ylikoski E,Tripathi S,West A,Björkman M,Nyström J,Ahlfors H,Coffey E,Rao KV,Rasool O,Lahesmaa R","GEOID":"GSE20198","EXACT_SOURCE":"GSE20198_2509_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in the activated CD4 [GeneID=920] T cells (48h): control versus IL-12 and IL18 [GeneID=3606].","DESCRIPTION_FULL":"The aim of this study was to identify genes regulated by IL-12, IL-18 and IFN-alpha during early differentiation of human Th1 cells"}
{"STANDARD_NAME":"GSE20198_IL12_VS_IL12_IL18_TREATED_ACT_CD4_TCELL_UP","SYSTEMATIC_NAME":"M7380","ORGANISM":"Homo sapiens","PMID":"20304822","AUTHORS":"Filén S,Ylikoski E,Tripathi S,West A,Björkman M,Nyström J,Ahlfors H,Coffey E,Rao KV,Rasool O,Lahesmaa R","GEOID":"GSE20198","EXACT_SOURCE":"GSE20198_2511_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in the activated CD4 [GeneID=920] T cells (48h): IL-12 versus IL-12 and IL18 [GeneID=3606].","DESCRIPTION_FULL":"The aim of this study was to identify genes regulated by IL-12, IL-18 and IFN-alpha during early differentiation of human Th1 cells"}
{"STANDARD_NAME":"GSE20484_MCSG_VS_CXCL4_MONOCYTE_DERIVED_MACROPHAGE_DN","SYSTEMATIC_NAME":"M7382","ORGANISM":"Homo sapiens","PMID":"20335529","AUTHORS":"Gleissner CA,Shaked I,Little KM,Ley K","GEOID":"GSE20484","EXACT_SOURCE":"GSE20484_2502_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in monocyte derived macrophages: CSF1 [GeneID=1435] versus PF4 [GeneID=5196].","DESCRIPTION_FULL":"Human blood monocytes were differentiated over six days with either 100 ng/ml M-CSF or 1 umol/l CXCL4 In atherosclerotic arteries, blood monocytes differentiate to macrophages in the presence of growth factors like macrophage colony-stimulation factor (MCSF) and chemokines like platelet factor 4 (CXCL4). To compare the gene expression signature of CXCL4-induced macrophages with MCSF-induced macrophages or macrophages polarized with IFN-γ/LPS (M1) or IL-4 (M2), we cultured primary human peripheral blood monocytes for six days. mRNA expression was measured by Affymetrix gene chips and differences were analyzed by Local Pooled Error test, Profile of Complex Functionality and Gene Set Enrichment Analysis. 375 genes were differentially expressed between MCSF- and CXCL4-induced macrophages, 206 of them overexpressed in CXCL4 macrophages coding for genes implicated in the inflammatory/immune response, antigen processing/presentation, and lipid metabolism. CXCL4-induced macrophages overexpressed some M1 and M2 genes and the corresponding cytokines at the protein level, however, their transcriptome clustered with neither M1 nor M2 transcriptomes. They almost completely lost the ability to phagocytose zymosan beads. Genes linked to atherosclerosis were not consistently up- or downregulated. Scavenger receptors showed lower and cholesterol efflux transporters higher expression in CXCL4- than MCSF-induced macrophages, resulting in lower LDL content. We conclude that CXCL4 induces a unique macrophage transcriptome distinct from known macrophage types, defining a new macrophage differentiation that we propose to call M4."}
{"STANDARD_NAME":"GSE20484_MCSG_VS_CXCL4_MONOCYTE_DERIVED_MACROPHAGE_UP","SYSTEMATIC_NAME":"M7384","ORGANISM":"Homo sapiens","PMID":"20335529","AUTHORS":"Gleissner CA,Shaked I,Little KM,Ley K","GEOID":"GSE20484","EXACT_SOURCE":"GSE20484_2502_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in monocyte derived macrophages: CSF1 [GeneID=1435] versus PF4 [GeneID=5196].","DESCRIPTION_FULL":"Human blood monocytes were differentiated over six days with either 100 ng/ml M-CSF or 1 umol/l CXCL4 In atherosclerotic arteries, blood monocytes differentiate to macrophages in the presence of growth factors like macrophage colony-stimulation factor (MCSF) and chemokines like platelet factor 4 (CXCL4). To compare the gene expression signature of CXCL4-induced macrophages with MCSF-induced macrophages or macrophages polarized with IFN-γ/LPS (M1) or IL-4 (M2), we cultured primary human peripheral blood monocytes for six days. mRNA expression was measured by Affymetrix gene chips and differences were analyzed by Local Pooled Error test, Profile of Complex Functionality and Gene Set Enrichment Analysis. 375 genes were differentially expressed between MCSF- and CXCL4-induced macrophages, 206 of them overexpressed in CXCL4 macrophages coding for genes implicated in the inflammatory/immune response, antigen processing/presentation, and lipid metabolism. CXCL4-induced macrophages overexpressed some M1 and M2 genes and the corresponding cytokines at the protein level, however, their transcriptome clustered with neither M1 nor M2 transcriptomes. They almost completely lost the ability to phagocytose zymosan beads. Genes linked to atherosclerosis were not consistently up- or downregulated. Scavenger receptors showed lower and cholesterol efflux transporters higher expression in CXCL4- than MCSF-induced macrophages, resulting in lower LDL content. We conclude that CXCL4 induces a unique macrophage transcriptome distinct from known macrophage types, defining a new macrophage differentiation that we propose to call M4."}
{"STANDARD_NAME":"GSE17322_CD103_POS_VS_CD11B_HIGH_LUNG_DC_UP","SYSTEMATIC_NAME":"M7389","ORGANISM":"Mus musculus","PMID":"20351058","AUTHORS":"Edelson BT,KC W,Juang R,Kohyama M,Benoit LA,Klekotka PA,Moon C,Albring JC,Ise W,Michael DG,Bhattacharya D,Stappenbeck TS,Holtzman MJ,Sung SS,Murphy TL,Hildner K,Murphy KM","GEOID":"GSE17322","EXACT_SOURCE":"GSE17322_2402_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in lung dendritic cells: CD103+ [GeneID=3682] versus CD11b [GeneID=3684] high.","DESCRIPTION_FULL":"Mouse lung CD11c+ dendritic cells are composed of 2 major DC subsets, the CD103+CD11b-low/intermediate DC (CD103+ DC) and the CD11b-highCD103- DC (CD11b-high DC). These 2 subsets are functionally distinct. Comparison of their functions showed CD103+ DC Microarray analysis was performed to compare the gene expression profiles of the 2 lung DC subsets in naïve mice."}
{"STANDARD_NAME":"GSE17322_CD103_POS_VS_CD11B_HIGH_LUNG_DC_DN","SYSTEMATIC_NAME":"M7390","ORGANISM":"Mus musculus","PMID":"20351058","AUTHORS":"Edelson BT,KC W,Juang R,Kohyama M,Benoit LA,Klekotka PA,Moon C,Albring JC,Ise W,Michael DG,Bhattacharya D,Stappenbeck TS,Holtzman MJ,Sung SS,Murphy TL,Hildner K,Murphy KM","GEOID":"GSE17322","EXACT_SOURCE":"GSE17322_2402_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in lungh dendritic cell : CD103+ [GeneID=3682] versus CD11b [GeneID=3684] high.","DESCRIPTION_FULL":"Mouse lung CD11c+ dendritic cells are composed of 2 major DC subsets, the CD103+CD11b-low/intermediate DC (CD103+ DC) and the CD11b-highCD103- DC (CD11b-high DC). These 2 subsets are functionally distinct. Comparison of their functions showed CD103+ DC Microarray analysis was performed to compare the gene expression profiles of the 2 lung DC subsets in naïve mice."}
{"STANDARD_NAME":"GSE21678_WT_VS_FOXO1_FOXO3_KO_TREG_DN","SYSTEMATIC_NAME":"M7394","ORGANISM":"Mus musculus","PMID":"20467422","AUTHORS":"Ouyang W,Beckett O,Ma Q,Paik JH,DePinho RA,Li MO","GEOID":"GSE21678","EXACT_SOURCE":"GSE21678_2640_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in T reg cells: wildtype versus FOXO1 and FOXO3 [GeneID=2308;2309].","DESCRIPTION_FULL":"Identification of Foxos target genes in Treg cells. Foxo1and Foxo3 are transcription factors of Foxo family. CD4+Foxp3+ Treg cells isolated from wild-type and Foxo1/3-deficient mice were analyzed by global gene expression profiling. Results indicate Foxos regulate expression of a subset of Treg cell signature genes and genes in control of T cell homeostasis, signaling and metabolism."}
{"STANDARD_NAME":"GSE21678_WT_VS_FOXO1_FOXO3_KO_TREG_UP","SYSTEMATIC_NAME":"M7395","ORGANISM":"Mus musculus","PMID":"20467422","AUTHORS":"Ouyang W,Beckett O,Ma Q,Paik JH,DePinho RA,Li MO","GEOID":"GSE21678","EXACT_SOURCE":"GSE21678_2640_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in T reg cells: wildtype versus FOXO1 and FOXO3 [GeneID=2308;2309].","DESCRIPTION_FULL":"Identification of Foxos target genes in Treg cells. Foxo1and Foxo3 are transcription factors of Foxo family. CD4+Foxp3+ Treg cells isolated from wild-type and Foxo1/3-deficient mice were analyzed by global gene expression profiling. Results indicate Foxos regulate expression of a subset of Treg cell signature genes and genes in control of T cell homeostasis, signaling and metabolism."}
{"STANDARD_NAME":"GSE16450_IMMATURE_VS_MATURE_NEURON_CELL_LINE_UP","SYSTEMATIC_NAME":"M7397","ORGANISM":"Homo sapiens","PMID":"20483728","AUTHORS":"Peltier DC,Simms A,Farmer JR,Miller DJ","GEOID":"GSE16450","EXACT_SOURCE":"GSE16450_3398_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in the neuron cell line: immature versus mature.","DESCRIPTION_FULL":"Human neuronal differentiation alters responsiveness to innate immune stimuli and virus infections. We used microarrays to examine the transcriptional responses of the human BE(2)-C neuroblastoma cell line to retinoic acid-induced differentiation and type I IFN stimulation."}
{"STANDARD_NAME":"GSE16450_IMMATURE_VS_MATURE_NEURON_CELL_LINE_DN","SYSTEMATIC_NAME":"M7401","ORGANISM":"Homo sapiens","PMID":"20483728","AUTHORS":"Peltier DC,Simms A,Farmer JR,Miller DJ","GEOID":"GSE16450","EXACT_SOURCE":"GSE16450_3398_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in the neuron cell line: immature versus mature.","DESCRIPTION_FULL":"Human neuronal differentiation alters responsiveness to innate immune stimuli and virus infections. We used microarrays to examine the transcriptional responses of the human BE(2)-C neuroblastoma cell line to retinoic acid-induced differentiation and type I IFN stimulation."}
{"STANDARD_NAME":"GSE16450_CTRL_VS_IFNA_12H_STIM_IMMATURE_NEURON_CELL_LINE_UP","SYSTEMATIC_NAME":"M7403","ORGANISM":"Homo sapiens","PMID":"20483728","AUTHORS":"Peltier DC,Simms A,Farmer JR,Miller DJ","GEOID":"GSE16450","EXACT_SOURCE":"GSE16450_3395_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in immature neuron cell line: control versus interferon alpha (12h).","DESCRIPTION_FULL":"Human neuronal differentiation alters responsiveness to innate immune stimuli and virus infections. We used microarrays to examine the transcriptional responses of the human BE(2)-C neuroblastoma cell line to retinoic acid-induced differentiation and type I IFN stimulation."}
{"STANDARD_NAME":"GSE16450_CTRL_VS_IFNA_12H_STIM_IMMATURE_NEURON_CELL_LINE_DN","SYSTEMATIC_NAME":"M7406","ORGANISM":"Homo sapiens","PMID":"20483728","AUTHORS":"Peltier DC,Simms A,Farmer JR,Miller DJ","GEOID":"GSE16450","EXACT_SOURCE":"GSE16450_3395_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in immature neuron cell line: control versus interferon alpha (12h).","DESCRIPTION_FULL":"Human neuronal differentiation alters responsiveness to innate immune stimuli and virus infections. We used microarrays to examine the transcriptional responses of the human BE(2)-C neuroblastoma cell line to retinoic acid-induced differentiation and type I IFN stimulation."}
{"STANDARD_NAME":"GSE16451_IMMATURE_VS_MATURE_NEURON_CELL_LINE_WEST_EQUINE_ENC_VIRUS_DN","SYSTEMATIC_NAME":"M7408","ORGANISM":"Homo sapiens","PMID":"20483728","AUTHORS":"Peltier DC,Simms A,Farmer JR,Miller DJ","GEOID":"GSE16451","EXACT_SOURCE":"GSE16451_3457_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in neuron cell line infected with western equine encephalitis virus: immature versus mature cells.","DESCRIPTION_FULL":"Human neuronal differentiation alters responsiveness to innate immune stimuli and virus infections. We used microarrays to examine the transcriptional responses of the human BE(2)-C neuroblastoma cell line to infection with western equine encephalitis virus (WEEV)."}
{"STANDARD_NAME":"GSE16450_CTRL_VS_IFNA_6H_STIM_IMMATURE_NEURON_CELL_LINE_DN","SYSTEMATIC_NAME":"M7410","ORGANISM":"Homo sapiens","PMID":"20483728","AUTHORS":"Peltier DC,Simms A,Farmer JR,Miller DJ","GEOID":"GSE16450","EXACT_SOURCE":"GSE16450_3394_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in immature neuron cell line: control versus interferon alpha (6h).","DESCRIPTION_FULL":"Human neuronal differentiation alters responsiveness to innate immune stimuli and virus infections. We used microarrays to examine the transcriptional responses of the human BE(2)-C neuroblastoma cell line to retinoic acid-induced differentiation and type I IFN stimulation."}
{"STANDARD_NAME":"GSE16450_CTRL_VS_IFNA_12H_STIM_MATURE_NEURON_CELL_LINE_UP","SYSTEMATIC_NAME":"M7411","ORGANISM":"Homo sapiens","PMID":"20483728","AUTHORS":"Peltier DC,Simms A,Farmer JR,Miller DJ","GEOID":"GSE16450","EXACT_SOURCE":"GSE16450_3397_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in mature neuron cell line: control versus interferon alpha (12h).","DESCRIPTION_FULL":"Human neuronal differentiation alters responsiveness to innate immune stimuli and virus infections. We used microarrays to examine the transcriptional responses of the human BE(2)-C neuroblastoma cell line to retinoic acid-induced differentiation and type I IFN stimulation."}
{"STANDARD_NAME":"GSE16450_CTRL_VS_IFNA_12H_STIM_MATURE_NEURON_CELL_LINE_DN","SYSTEMATIC_NAME":"M7412","ORGANISM":"Homo sapiens","PMID":"20483728","AUTHORS":"Peltier DC,Simms A,Farmer JR,Miller DJ","GEOID":"GSE16450","EXACT_SOURCE":"GSE16450_3397_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in mature neuron cell line: control versus interferon alpha (12h).","DESCRIPTION_FULL":"Human neuronal differentiation alters responsiveness to innate immune stimuli and virus infections. We used microarrays to examine the transcriptional responses of the human BE(2)-C neuroblastoma cell line to retinoic acid-induced differentiation and type I IFN stimulation."}
{"STANDARD_NAME":"GSE16451_IMMATURE_VS_MATURE_NEURON_CELL_LINE_WEST_EQUINE_ENC_VIRUS_UP","SYSTEMATIC_NAME":"M7413","ORGANISM":"Homo sapiens","PMID":"20483728","AUTHORS":"Peltier DC,Simms A,Farmer JR,Miller DJ","GEOID":"GSE16451","EXACT_SOURCE":"GSE16451_3457_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in neuron cell line infected with western equine encephalitis virus: immature versus mature cells.","DESCRIPTION_FULL":"Human neuronal differentiation alters responsiveness to innate immune stimuli and virus infections. We used microarrays to examine the transcriptional responses of the human BE(2)-C neuroblastoma cell line to infection with western equine encephalitis virus (WEEV)."}
{"STANDARD_NAME":"GSE16450_IMMATURE_VS_MATURE_NEURON_CELL_LINE_6H_IFNA_STIM_UP","SYSTEMATIC_NAME":"M7414","ORGANISM":"Homo sapiens","PMID":"20483728","AUTHORS":"Peltier DC,Simms A,Farmer JR,Miller DJ","GEOID":"GSE16450","EXACT_SOURCE":"GSE16450_3399_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in neuron cell line treated with interferon alpha for 6h: immature versus mature.","DESCRIPTION_FULL":"Human neuronal differentiation alters responsiveness to innate immune stimuli and virus infections. We used microarrays to examine the transcriptional responses of the human BE(2)-C neuroblastoma cell line to retinoic acid-induced differentiation and type I IFN stimulation."}
{"STANDARD_NAME":"GSE16450_IMMATURE_VS_MATURE_NEURON_CELL_LINE_6H_IFNA_STIM_DN","SYSTEMATIC_NAME":"M7415","ORGANISM":"Homo sapiens","PMID":"20483728","AUTHORS":"Peltier DC,Simms A,Farmer JR,Miller DJ","GEOID":"GSE16450","EXACT_SOURCE":"GSE16450_3399_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in neuron cell line treated with interferon alpha for 6h: immature versus mature.","DESCRIPTION_FULL":"Human neuronal differentiation alters responsiveness to innate immune stimuli and virus infections. We used microarrays to examine the transcriptional responses of the human BE(2)-C neuroblastoma cell line to retinoic acid-induced differentiation and type I IFN stimulation."}
{"STANDARD_NAME":"GSE16450_CTRL_VS_IFNA_6H_STIM_IMMATURE_NEURON_CELL_LINE_UP","SYSTEMATIC_NAME":"M7417","ORGANISM":"Homo sapiens","PMID":"20483728","AUTHORS":"Peltier DC,Simms A,Farmer JR,Miller DJ","GEOID":"GSE16450","EXACT_SOURCE":"GSE16450_3394_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in immature neuron cell line: control versus interferon alpha (6h).","DESCRIPTION_FULL":"Human neuronal differentiation alters responsiveness to innate immune stimuli and virus infections. We used microarrays to examine the transcriptional responses of the human BE(2)-C neuroblastoma cell line to retinoic acid-induced differentiation and type I IFN stimulation."}
{"STANDARD_NAME":"GSE16450_IMMATURE_VS_MATURE_NEURON_CELL_LINE_12H_IFNA_STIM_DN","SYSTEMATIC_NAME":"M7418","ORGANISM":"Homo sapiens","PMID":"20483728","AUTHORS":"Peltier DC,Simms A,Farmer JR,Miller DJ","GEOID":"GSE16450","EXACT_SOURCE":"GSE16450_3400_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in neuron cell line treated with interferon alpha for 12h: immature versus mature.","DESCRIPTION_FULL":"Human neuronal differentiation alters responsiveness to innate immune stimuli and virus infections. We used microarrays to examine the transcriptional responses of the human BE(2)-C neuroblastoma cell line to retinoic acid-induced differentiation and type I IFN stimulation."}
{"STANDARD_NAME":"GSE16450_CTRL_VS_IFNA_6H_STIM_MATURE_NEURON_CELL_LINE_UP","SYSTEMATIC_NAME":"M7420","ORGANISM":"Homo sapiens","PMID":"20483728","AUTHORS":"Peltier DC,Simms A,Farmer JR,Miller DJ","GEOID":"GSE16450","EXACT_SOURCE":"GSE16450_3396_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in mature neuron cell line: control versus interferon alpha (6h).","DESCRIPTION_FULL":"Human neuronal differentiation alters responsiveness to innate immune stimuli and virus infections. We used microarrays to examine the transcriptional responses of the human BE(2)-C neuroblastoma cell line to retinoic acid-induced differentiation and type I IFN stimulation."}
{"STANDARD_NAME":"GSE16450_CTRL_VS_IFNA_6H_STIM_MATURE_NEURON_CELL_LINE_DN","SYSTEMATIC_NAME":"M7423","ORGANISM":"Homo sapiens","PMID":"20483728","AUTHORS":"Peltier DC,Simms A,Farmer JR,Miller DJ","GEOID":"GSE16450","EXACT_SOURCE":"GSE16450_3396_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in mature neuron cell line: control versus interferon alpha (6h).","DESCRIPTION_FULL":"Human neuronal differentiation alters responsiveness to innate immune stimuli and virus infections. We used microarrays to examine the transcriptional responses of the human BE(2)-C neuroblastoma cell line to retinoic acid-induced differentiation and type I IFN stimulation."}
{"STANDARD_NAME":"GSE16451_CTRL_VS_WEST_EQUINE_ENC_VIRUS_MATURE_NEURON_CELL_LINE_UP","SYSTEMATIC_NAME":"M7424","ORGANISM":"Homo sapiens","PMID":"20483728","AUTHORS":"Peltier DC,Simms A,Farmer JR,Miller DJ","GEOID":"GSE16451","EXACT_SOURCE":"GSE16451_3455_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in the mature neuron cell line: control versus infected with western equine encephalitis virus.","DESCRIPTION_FULL":"Human neuronal differentiation alters responsiveness to innate immune stimuli and virus infections. We used microarrays to examine the transcriptional responses of the human BE(2)-C neuroblastoma cell line to infection with western equine encephalitis virus (WEEV)."}
{"STANDARD_NAME":"GSE16451_CTRL_VS_WEST_EQUINE_ENC_VIRUS_MATURE_NEURON_CELL_LINE_DN","SYSTEMATIC_NAME":"M7426","ORGANISM":"Homo sapiens","PMID":"20483728","AUTHORS":"Peltier DC,Simms A,Farmer JR,Miller DJ","GEOID":"GSE16451","EXACT_SOURCE":"GSE16451_3455_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in the mature neuron cell line: control versus infected with western equine encephalitis virus.","DESCRIPTION_FULL":"Human neuronal differentiation alters responsiveness to innate immune stimuli and virus infections. We used microarrays to examine the transcriptional responses of the human BE(2)-C neuroblastoma cell line to infection with western equine encephalitis virus (WEEV)."}
{"STANDARD_NAME":"GSE16451_CTRL_VS_WEST_EQUINE_ENC_VIRUS_IMMATURE_NEURON_CELL_LINE_UP","SYSTEMATIC_NAME":"M7427","ORGANISM":"Homo sapiens","PMID":"20483728","AUTHORS":"Peltier DC,Simms A,Farmer JR,Miller DJ","GEOID":"GSE16451","EXACT_SOURCE":"GSE16451_3454_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in the immature neuron cell line: control versus infected with western equine encephalitis viruss.","DESCRIPTION_FULL":"Human neuronal differentiation alters responsiveness to innate immune stimuli and virus infections. We used microarrays to examine the transcriptional responses of the human BE(2)-C neuroblastoma cell line to infection with western equine encephalitis virus (WEEV)."}
{"STANDARD_NAME":"GSE16451_CTRL_VS_WEST_EQUINE_ENC_VIRUS_IMMATURE_NEURON_CELL_LINE_DN","SYSTEMATIC_NAME":"M7428","ORGANISM":"Homo sapiens","PMID":"20483728","AUTHORS":"Peltier DC,Simms A,Farmer JR,Miller DJ","GEOID":"GSE16451","EXACT_SOURCE":"GSE16451_3454_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in the immature neuron cell line: control versus infected with western equine encephalitis viruss.","DESCRIPTION_FULL":"Human neuronal differentiation alters responsiveness to innate immune stimuli and virus infections. We used microarrays to examine the transcriptional responses of the human BE(2)-C neuroblastoma cell line to infection with western equine encephalitis virus (WEEV)."}
{"STANDARD_NAME":"GSE16450_IMMATURE_VS_MATURE_NEURON_CELL_LINE_12H_IFNA_STIM_UP","SYSTEMATIC_NAME":"M7430","ORGANISM":"Homo sapiens","PMID":"20483728","AUTHORS":"Peltier DC,Simms A,Farmer JR,Miller DJ","GEOID":"GSE16450","EXACT_SOURCE":"GSE16450_3400_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in neuron cell line treated with interferon alpha for 12h: immature versus mature.","DESCRIPTION_FULL":"Human neuronal differentiation alters responsiveness to innate immune stimuli and virus infections. We used microarrays to examine the transcriptional responses of the human BE(2)-C neuroblastoma cell line to retinoic acid-induced differentiation and type I IFN stimulation."}
{"STANDARD_NAME":"GSE21670_UNTREATED_VS_TGFB_IL6_TREATED_STAT3_KO_CD4_TCELL_UP","SYSTEMATIC_NAME":"M7431","ORGANISM":"Mus musculus","PMID":"20493732","AUTHORS":"Durant L,Watford WT,Ramos HL,Laurence A,Vahedi G,Wei L,Takahashi H,Sun HW,Kanno Y,Powrie F,O'Shea JJ","GEOID":"GSE21670","EXACT_SOURCE":"GSE21670_2386_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells with STAT3 [GeneID=6774] knockout: medium versus TGF beta and IL6 [GeneID=3569].","DESCRIPTION_FULL":"STAT3, an essential transcription factor with pleiotropic functions, plays critical roles in the pathogenesis of autoimmunity. Despite recent data linking STAT3 with inflammatory bowel disease, exactly how it contributes to chronic intestinal inflammation is not known. Using a T cell transfer model of colitis we found that STAT3 expression in T cells was essential for the induction of both colitis and systemic inflammation. STAT3 was critical in modulating the balance of T helper 17 (Th17) and regulatory T (Treg) cells, as well as in promoting CD4+ T cell proliferation. We used chromatin immunoprecipitation and massive parallel sequencing (ChIP-Seq) to define the genome-wide targets of STAT3 in CD4+ T cells. We found that STAT3 bound to multiple genes involved in Th17 cell differentiation, cell activation, proliferation and survival, regulating both expression and epigenetic modifications. Thus, STAT3 orchestrates multiple critical aspects of T cell function in inflammation and homeostasis."}
{"STANDARD_NAME":"GSE21670_TGFB_VS_IL6_TREATED_STAT3_KO_CD4_TCELL_DN","SYSTEMATIC_NAME":"M7432","ORGANISM":"Mus musculus","PMID":"20493732","AUTHORS":"Durant L,Watford WT,Ramos HL,Laurence A,Vahedi G,Wei L,Takahashi H,Sun HW,Kanno Y,Powrie F,O'Shea JJ","GEOID":"GSE21670","EXACT_SOURCE":"GSE21670_2375_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells with STAT3 [GeneID=6774] knockout: TGF beta versus IL6 [GeneID=3569].","DESCRIPTION_FULL":"STAT3, an essential transcription factor with pleiotropic functions, plays critical roles in the pathogenesis of autoimmunity. Despite recent data linking STAT3 with inflammatory bowel disease, exactly how it contributes to chronic intestinal inflammation is not known. Using a T cell transfer model of colitis we found that STAT3 expression in T cells was essential for the induction of both colitis and systemic inflammation. STAT3 was critical in modulating the balance of T helper 17 (Th17) and regulatory T (Treg) cells, as well as in promoting CD4+ T cell proliferation. We used chromatin immunoprecipitation and massive parallel sequencing (ChIP-Seq) to define the genome-wide targets of STAT3 in CD4+ T cells. We found that STAT3 bound to multiple genes involved in Th17 cell differentiation, cell activation, proliferation and survival, regulating both expression and epigenetic modifications. Thus, STAT3 orchestrates multiple critical aspects of T cell function in inflammation and homeostasis."}
{"STANDARD_NAME":"GSE21670_TGFB_VS_TGFB_AND_IL6_TREATED_CD4_TCELL_UP","SYSTEMATIC_NAME":"M7433","ORGANISM":"Mus musculus","PMID":"20493732","AUTHORS":"Durant L,Watford WT,Ramos HL,Laurence A,Vahedi G,Wei L,Takahashi H,Sun HW,Kanno Y,Powrie F,O'Shea JJ","GEOID":"GSE21670","EXACT_SOURCE":"GSE21670_2377_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells: TGF beta versus TGF beta and IL6 [GeneID=3569].","DESCRIPTION_FULL":"STAT3, an essential transcription factor with pleiotropic functions, plays critical roles in the pathogenesis of autoimmunity. Despite recent data linking STAT3 with inflammatory bowel disease, exactly how it contributes to chronic intestinal inflammation is not known. Using a T cell transfer model of colitis we found that STAT3 expression in T cells was essential for the induction of both colitis and systemic inflammation. STAT3 was critical in modulating the balance of T helper 17 (Th17) and regulatory T (Treg) cells, as well as in promoting CD4+ T cell proliferation. We used chromatin immunoprecipitation and massive parallel sequencing (ChIP-Seq) to define the genome-wide targets of STAT3 in CD4+ T cells. We found that STAT3 bound to multiple genes involved in Th17 cell differentiation, cell activation, proliferation and survival, regulating both expression and epigenetic modifications. Thus, STAT3 orchestrates multiple critical aspects of T cell function in inflammation and homeostasis."}
{"STANDARD_NAME":"GSE21670_TGFB_VS_TGFB_AND_IL6_TREATED_CD4_TCELL_DN","SYSTEMATIC_NAME":"M7436","ORGANISM":"Mus musculus","PMID":"20493732","AUTHORS":"Durant L,Watford WT,Ramos HL,Laurence A,Vahedi G,Wei L,Takahashi H,Sun HW,Kanno Y,Powrie F,O'Shea JJ","GEOID":"GSE21670","EXACT_SOURCE":"GSE21670_2377_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells: TGF beta versus TGF beta and IL6 [GeneID=3569].","DESCRIPTION_FULL":"STAT3, an essential transcription factor with pleiotropic functions, plays critical roles in the pathogenesis of autoimmunity. Despite recent data linking STAT3 with inflammatory bowel disease, exactly how it contributes to chronic intestinal inflammation is not known. Using a T cell transfer model of colitis we found that STAT3 expression in T cells was essential for the induction of both colitis and systemic inflammation. STAT3 was critical in modulating the balance of T helper 17 (Th17) and regulatory T (Treg) cells, as well as in promoting CD4+ T cell proliferation. We used chromatin immunoprecipitation and massive parallel sequencing (ChIP-Seq) to define the genome-wide targets of STAT3 in CD4+ T cells. We found that STAT3 bound to multiple genes involved in Th17 cell differentiation, cell activation, proliferation and survival, regulating both expression and epigenetic modifications. Thus, STAT3 orchestrates multiple critical aspects of T cell function in inflammation and homeostasis."}
{"STANDARD_NAME":"GSE21670_TGFB_VS_IL6_TREATED_CD4_TCELL_UP","SYSTEMATIC_NAME":"M7437","ORGANISM":"Mus musculus","PMID":"20493732","AUTHORS":"Durant L,Watford WT,Ramos HL,Laurence A,Vahedi G,Wei L,Takahashi H,Sun HW,Kanno Y,Powrie F,O'Shea JJ","GEOID":"GSE21670","EXACT_SOURCE":"GSE21670_2378_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells: TGF beta versus IL6 [GeneID=3569].","DESCRIPTION_FULL":"STAT3, an essential transcription factor with pleiotropic functions, plays critical roles in the pathogenesis of autoimmunity. Despite recent data linking STAT3 with inflammatory bowel disease, exactly how it contributes to chronic intestinal inflammation is not known. Using a T cell transfer model of colitis we found that STAT3 expression in T cells was essential for the induction of both colitis and systemic inflammation. STAT3 was critical in modulating the balance of T helper 17 (Th17) and regulatory T (Treg) cells, as well as in promoting CD4+ T cell proliferation. We used chromatin immunoprecipitation and massive parallel sequencing (ChIP-Seq) to define the genome-wide targets of STAT3 in CD4+ T cells. We found that STAT3 bound to multiple genes involved in Th17 cell differentiation, cell activation, proliferation and survival, regulating both expression and epigenetic modifications. Thus, STAT3 orchestrates multiple critical aspects of T cell function in inflammation and homeostasis."}
{"STANDARD_NAME":"GSE21670_TGFB_VS_IL6_TREATED_CD4_TCELL_DN","SYSTEMATIC_NAME":"M7440","ORGANISM":"Mus musculus","PMID":"20493732","AUTHORS":"Durant L,Watford WT,Ramos HL,Laurence A,Vahedi G,Wei L,Takahashi H,Sun HW,Kanno Y,Powrie F,O'Shea JJ","GEOID":"GSE21670","EXACT_SOURCE":"GSE21670_2378_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells: TGF beta versus IL6 [GeneID=3569].","DESCRIPTION_FULL":"STAT3, an essential transcription factor with pleiotropic functions, plays critical roles in the pathogenesis of autoimmunity. Despite recent data linking STAT3 with inflammatory bowel disease, exactly how it contributes to chronic intestinal inflammation is not known. Using a T cell transfer model of colitis we found that STAT3 expression in T cells was essential for the induction of both colitis and systemic inflammation. STAT3 was critical in modulating the balance of T helper 17 (Th17) and regulatory T (Treg) cells, as well as in promoting CD4+ T cell proliferation. We used chromatin immunoprecipitation and massive parallel sequencing (ChIP-Seq) to define the genome-wide targets of STAT3 in CD4+ T cells. We found that STAT3 bound to multiple genes involved in Th17 cell differentiation, cell activation, proliferation and survival, regulating both expression and epigenetic modifications. Thus, STAT3 orchestrates multiple critical aspects of T cell function in inflammation and homeostasis."}
{"STANDARD_NAME":"GSE21670_UNTREATED_VS_IL6_TREATED_CD4_TCELL_DN","SYSTEMATIC_NAME":"M7441","ORGANISM":"Mus musculus","PMID":"20493732","AUTHORS":"Durant L,Watford WT,Ramos HL,Laurence A,Vahedi G,Wei L,Takahashi H,Sun HW,Kanno Y,Powrie F,O'Shea JJ","GEOID":"GSE21670","EXACT_SOURCE":"GSE21670_2384_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells: medium versus IL6 [GeneID=3569].","DESCRIPTION_FULL":"STAT3, an essential transcription factor with pleiotropic functions, plays critical roles in the pathogenesis of autoimmunity. Despite recent data linking STAT3 with inflammatory bowel disease, exactly how it contributes to chronic intestinal inflammation is not known. Using a T cell transfer model of colitis we found that STAT3 expression in T cells was essential for the induction of both colitis and systemic inflammation. STAT3 was critical in modulating the balance of T helper 17 (Th17) and regulatory T (Treg) cells, as well as in promoting CD4+ T cell proliferation. We used chromatin immunoprecipitation and massive parallel sequencing (ChIP-Seq) to define the genome-wide targets of STAT3 in CD4+ T cells. We found that STAT3 bound to multiple genes involved in Th17 cell differentiation, cell activation, proliferation and survival, regulating both expression and epigenetic modifications. Thus, STAT3 orchestrates multiple critical aspects of T cell function in inflammation and homeostasis."}
{"STANDARD_NAME":"GSE21670_STAT3_KO_VS_WT_CD4_TCELL_TGFB_TREATED_UP","SYSTEMATIC_NAME":"M7442","ORGANISM":"Mus musculus","PMID":"20493732","AUTHORS":"Durant L,Watford WT,Ramos HL,Laurence A,Vahedi G,Wei L,Takahashi H,Sun HW,Kanno Y,Powrie F,O'Shea JJ","GEOID":"GSE21670","EXACT_SOURCE":"GSE21670_2385_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells treated with TGF beta: STAT3 [GeneID=6774] knockout versus wildtype.","DESCRIPTION_FULL":"STAT3, an essential transcription factor with pleiotropic functions, plays critical roles in the pathogenesis of autoimmunity. Despite recent data linking STAT3 with inflammatory bowel disease, exactly how it contributes to chronic intestinal inflammation is not known. Using a T cell transfer model of colitis we found that STAT3 expression in T cells was essential for the induction of both colitis and systemic inflammation. STAT3 was critical in modulating the balance of T helper 17 (Th17) and regulatory T (Treg) cells, as well as in promoting CD4+ T cell proliferation. We used chromatin immunoprecipitation and massive parallel sequencing (ChIP-Seq) to define the genome-wide targets of STAT3 in CD4+ T cells. We found that STAT3 bound to multiple genes involved in Th17 cell differentiation, cell activation, proliferation and survival, regulating both expression and epigenetic modifications. Thus, STAT3 orchestrates multiple critical aspects of T cell function in inflammation and homeostasis."}
{"STANDARD_NAME":"GSE21670_STAT3_KO_VS_WT_CD4_TCELL_TGFB_TREATED_DN","SYSTEMATIC_NAME":"M7443","ORGANISM":"Mus musculus","PMID":"20493732","AUTHORS":"Durant L,Watford WT,Ramos HL,Laurence A,Vahedi G,Wei L,Takahashi H,Sun HW,Kanno Y,Powrie F,O'Shea JJ","GEOID":"GSE21670","EXACT_SOURCE":"GSE21670_2385_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells treated with TGF beta: STAT3 [GeneID=6774] knockout versus wildtype.","DESCRIPTION_FULL":"STAT3, an essential transcription factor with pleiotropic functions, plays critical roles in the pathogenesis of autoimmunity. Despite recent data linking STAT3 with inflammatory bowel disease, exactly how it contributes to chronic intestinal inflammation is not known. Using a T cell transfer model of colitis we found that STAT3 expression in T cells was essential for the induction of both colitis and systemic inflammation. STAT3 was critical in modulating the balance of T helper 17 (Th17) and regulatory T (Treg) cells, as well as in promoting CD4+ T cell proliferation. We used chromatin immunoprecipitation and massive parallel sequencing (ChIP-Seq) to define the genome-wide targets of STAT3 in CD4+ T cells. We found that STAT3 bound to multiple genes involved in Th17 cell differentiation, cell activation, proliferation and survival, regulating both expression and epigenetic modifications. Thus, STAT3 orchestrates multiple critical aspects of T cell function in inflammation and homeostasis."}
{"STANDARD_NAME":"GSE21670_UNTREATED_VS_TGFB_IL6_TREATED_STAT3_KO_CD4_TCELL_DN","SYSTEMATIC_NAME":"M7444","ORGANISM":"Mus musculus","PMID":"20493732","AUTHORS":"Durant L,Watford WT,Ramos HL,Laurence A,Vahedi G,Wei L,Takahashi H,Sun HW,Kanno Y,Powrie F,O'Shea JJ","GEOID":"GSE21670","EXACT_SOURCE":"GSE21670_2386_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells with STAT3 [GeneID=6774] knockout: medium versus TGF beta and IL6 [GeneID=3569].","DESCRIPTION_FULL":"STAT3, an essential transcription factor with pleiotropic functions, plays critical roles in the pathogenesis of autoimmunity. Despite recent data linking STAT3 with inflammatory bowel disease, exactly how it contributes to chronic intestinal inflammation is not known. Using a T cell transfer model of colitis we found that STAT3 expression in T cells was essential for the induction of both colitis and systemic inflammation. STAT3 was critical in modulating the balance of T helper 17 (Th17) and regulatory T (Treg) cells, as well as in promoting CD4+ T cell proliferation. We used chromatin immunoprecipitation and massive parallel sequencing (ChIP-Seq) to define the genome-wide targets of STAT3 in CD4+ T cells. We found that STAT3 bound to multiple genes involved in Th17 cell differentiation, cell activation, proliferation and survival, regulating both expression and epigenetic modifications. Thus, STAT3 orchestrates multiple critical aspects of T cell function in inflammation and homeostasis."}
{"STANDARD_NAME":"GSE21670_TGFB_VS_TGFB_AND_IL6_TREATED_STAT3_KO_CD4_TCELL_UP","SYSTEMATIC_NAME":"M7446","ORGANISM":"Mus musculus","PMID":"20493732","AUTHORS":"Durant L,Watford WT,Ramos HL,Laurence A,Vahedi G,Wei L,Takahashi H,Sun HW,Kanno Y,Powrie F,O'Shea JJ","GEOID":"GSE21670","EXACT_SOURCE":"GSE21670_2374_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells with STAT3 [GeneID=6774] knockout: TGF beta versus TGF beta and IL6 [GeneID=3569].","DESCRIPTION_FULL":"STAT3, an essential transcription factor with pleiotropic functions, plays critical roles in the pathogenesis of autoimmunity. Despite recent data linking STAT3 with inflammatory bowel disease, exactly how it contributes to chronic intestinal inflammation is not known. Using a T cell transfer model of colitis we found that STAT3 expression in T cells was essential for the induction of both colitis and systemic inflammation. STAT3 was critical in modulating the balance of T helper 17 (Th17) and regulatory T (Treg) cells, as well as in promoting CD4+ T cell proliferation. We used chromatin immunoprecipitation and massive parallel sequencing (ChIP-Seq) to define the genome-wide targets of STAT3 in CD4+ T cells. We found that STAT3 bound to multiple genes involved in Th17 cell differentiation, cell activation, proliferation and survival, regulating both expression and epigenetic modifications. Thus, STAT3 orchestrates multiple critical aspects of T cell function in inflammation and homeostasis."}
{"STANDARD_NAME":"GSE21670_TGFB_VS_TGFB_AND_IL6_TREATED_STAT3_KO_CD4_TCELL_DN","SYSTEMATIC_NAME":"M7447","ORGANISM":"Mus musculus","PMID":"20493732","AUTHORS":"Durant L,Watford WT,Ramos HL,Laurence A,Vahedi G,Wei L,Takahashi H,Sun HW,Kanno Y,Powrie F,O'Shea JJ","GEOID":"GSE21670","EXACT_SOURCE":"GSE21670_2374_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells with STAT3 [GeneID=6774] knockout: TGF beta versus TGF beta and IL6 [GeneID=3569].","DESCRIPTION_FULL":"STAT3, an essential transcription factor with pleiotropic functions, plays critical roles in the pathogenesis of autoimmunity. Despite recent data linking STAT3 with inflammatory bowel disease, exactly how it contributes to chronic intestinal inflammation is not known. Using a T cell transfer model of colitis we found that STAT3 expression in T cells was essential for the induction of both colitis and systemic inflammation. STAT3 was critical in modulating the balance of T helper 17 (Th17) and regulatory T (Treg) cells, as well as in promoting CD4+ T cell proliferation. We used chromatin immunoprecipitation and massive parallel sequencing (ChIP-Seq) to define the genome-wide targets of STAT3 in CD4+ T cells. We found that STAT3 bound to multiple genes involved in Th17 cell differentiation, cell activation, proliferation and survival, regulating both expression and epigenetic modifications. Thus, STAT3 orchestrates multiple critical aspects of T cell function in inflammation and homeostasis."}
{"STANDARD_NAME":"GSE21670_TGFB_VS_IL6_TREATED_STAT3_KO_CD4_TCELL_UP","SYSTEMATIC_NAME":"M7448","ORGANISM":"Mus musculus","PMID":"20493732","AUTHORS":"Durant L,Watford WT,Ramos HL,Laurence A,Vahedi G,Wei L,Takahashi H,Sun HW,Kanno Y,Powrie F,O'Shea JJ","GEOID":"GSE21670","EXACT_SOURCE":"GSE21670_2375_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells with STAT3 [GeneID=6774] knockout: TGF beta versus IL6 [GeneID=3569].","DESCRIPTION_FULL":"STAT3, an essential transcription factor with pleiotropic functions, plays critical roles in the pathogenesis of autoimmunity. Despite recent data linking STAT3 with inflammatory bowel disease, exactly how it contributes to chronic intestinal inflammation is not known. Using a T cell transfer model of colitis we found that STAT3 expression in T cells was essential for the induction of both colitis and systemic inflammation. STAT3 was critical in modulating the balance of T helper 17 (Th17) and regulatory T (Treg) cells, as well as in promoting CD4+ T cell proliferation. We used chromatin immunoprecipitation and massive parallel sequencing (ChIP-Seq) to define the genome-wide targets of STAT3 in CD4+ T cells. We found that STAT3 bound to multiple genes involved in Th17 cell differentiation, cell activation, proliferation and survival, regulating both expression and epigenetic modifications. Thus, STAT3 orchestrates multiple critical aspects of T cell function in inflammation and homeostasis."}
{"STANDARD_NAME":"GSE21670_IL6_VS_TGFB_AND_IL6_TREATED_STAT3_KO_CD4_TCELL_UP","SYSTEMATIC_NAME":"M7449","ORGANISM":"Mus musculus","PMID":"20493732","AUTHORS":"Durant L,Watford WT,Ramos HL,Laurence A,Vahedi G,Wei L,Takahashi H,Sun HW,Kanno Y,Powrie F,O'Shea JJ","GEOID":"GSE21670","EXACT_SOURCE":"GSE21670_2376_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells with STAT3 [GeneID=6774] knockout: IL6 [GeneID=3569] versus TGF beta and IL6 [GeneID=3569].","DESCRIPTION_FULL":"STAT3, an essential transcription factor with pleiotropic functions, plays critical roles in the pathogenesis of autoimmunity. Despite recent data linking STAT3 with inflammatory bowel disease, exactly how it contributes to chronic intestinal inflammation is not known. Using a T cell transfer model of colitis we found that STAT3 expression in T cells was essential for the induction of both colitis and systemic inflammation. STAT3 was critical in modulating the balance of T helper 17 (Th17) and regulatory T (Treg) cells, as well as in promoting CD4+ T cell proliferation. We used chromatin immunoprecipitation and massive parallel sequencing (ChIP-Seq) to define the genome-wide targets of STAT3 in CD4+ T cells. We found that STAT3 bound to multiple genes involved in Th17 cell differentiation, cell activation, proliferation and survival, regulating both expression and epigenetic modifications. Thus, STAT3 orchestrates multiple critical aspects of T cell function in inflammation and homeostasis."}
{"STANDARD_NAME":"GSE21670_IL6_VS_TGFB_AND_IL6_TREATED_STAT3_KO_CD4_TCELL_DN","SYSTEMATIC_NAME":"M7451","ORGANISM":"Mus musculus","PMID":"20493732","AUTHORS":"Durant L,Watford WT,Ramos HL,Laurence A,Vahedi G,Wei L,Takahashi H,Sun HW,Kanno Y,Powrie F,O'Shea JJ","GEOID":"GSE21670","EXACT_SOURCE":"GSE21670_2376_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells with STAT3 [GeneID=6774] knockout: IL6 [GeneID=3569] versus TGF beta and IL6 [GeneID=3569].","DESCRIPTION_FULL":"STAT3, an essential transcription factor with pleiotropic functions, plays critical roles in the pathogenesis of autoimmunity. Despite recent data linking STAT3 with inflammatory bowel disease, exactly how it contributes to chronic intestinal inflammation is not known. Using a T cell transfer model of colitis we found that STAT3 expression in T cells was essential for the induction of both colitis and systemic inflammation. STAT3 was critical in modulating the balance of T helper 17 (Th17) and regulatory T (Treg) cells, as well as in promoting CD4+ T cell proliferation. We used chromatin immunoprecipitation and massive parallel sequencing (ChIP-Seq) to define the genome-wide targets of STAT3 in CD4+ T cells. We found that STAT3 bound to multiple genes involved in Th17 cell differentiation, cell activation, proliferation and survival, regulating both expression and epigenetic modifications. Thus, STAT3 orchestrates multiple critical aspects of T cell function in inflammation and homeostasis."}
{"STANDARD_NAME":"GSE21670_STAT3_KO_VS_WT_CD4_TCELL_TGFB_IL6_TREATED_UP","SYSTEMATIC_NAME":"M7452","ORGANISM":"Mus musculus","PMID":"20493732","AUTHORS":"Durant L,Watford WT,Ramos HL,Laurence A,Vahedi G,Wei L,Takahashi H,Sun HW,Kanno Y,Powrie F,O'Shea JJ","GEOID":"GSE21670","EXACT_SOURCE":"GSE21670_2389_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells treated with TGF beta and IL6 [GeneID=3569]: STAT3 [GeneID=6774] knockout versus wildtype.","DESCRIPTION_FULL":"STAT3, an essential transcription factor with pleiotropic functions, plays critical roles in the pathogenesis of autoimmunity. Despite recent data linking STAT3 with inflammatory bowel disease, exactly how it contributes to chronic intestinal inflammation is not known. Using a T cell transfer model of colitis we found that STAT3 expression in T cells was essential for the induction of both colitis and systemic inflammation. STAT3 was critical in modulating the balance of T helper 17 (Th17) and regulatory T (Treg) cells, as well as in promoting CD4+ T cell proliferation. We used chromatin immunoprecipitation and massive parallel sequencing (ChIP-Seq) to define the genome-wide targets of STAT3 in CD4+ T cells. We found that STAT3 bound to multiple genes involved in Th17 cell differentiation, cell activation, proliferation and survival, regulating both expression and epigenetic modifications. Thus, STAT3 orchestrates multiple critical aspects of T cell function in inflammation and homeostasis."}
{"STANDARD_NAME":"GSE21670_STAT3_KO_VS_WT_CD4_TCELL_TGFB_IL6_TREATED_DN","SYSTEMATIC_NAME":"M7453","ORGANISM":"Mus musculus","PMID":"20493732","AUTHORS":"Durant L,Watford WT,Ramos HL,Laurence A,Vahedi G,Wei L,Takahashi H,Sun HW,Kanno Y,Powrie F,O'Shea JJ","GEOID":"GSE21670","EXACT_SOURCE":"GSE21670_2389_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells treated with TGF beta and IL6 [GeneID=3569]: STAT3 [GeneID=6774] knockout versus wildtype.","DESCRIPTION_FULL":"STAT3, an essential transcription factor with pleiotropic functions, plays critical roles in the pathogenesis of autoimmunity. Despite recent data linking STAT3 with inflammatory bowel disease, exactly how it contributes to chronic intestinal inflammation is not known. Using a T cell transfer model of colitis we found that STAT3 expression in T cells was essential for the induction of both colitis and systemic inflammation. STAT3 was critical in modulating the balance of T helper 17 (Th17) and regulatory T (Treg) cells, as well as in promoting CD4+ T cell proliferation. We used chromatin immunoprecipitation and massive parallel sequencing (ChIP-Seq) to define the genome-wide targets of STAT3 in CD4+ T cells. We found that STAT3 bound to multiple genes involved in Th17 cell differentiation, cell activation, proliferation and survival, regulating both expression and epigenetic modifications. Thus, STAT3 orchestrates multiple critical aspects of T cell function in inflammation and homeostasis."}
{"STANDARD_NAME":"GSE21670_STAT3_KO_VS_WT_CD4_TCELL_DN","SYSTEMATIC_NAME":"M7454","ORGANISM":"Mus musculus","PMID":"20493732","AUTHORS":"Durant L,Watford WT,Ramos HL,Laurence A,Vahedi G,Wei L,Takahashi H,Sun HW,Kanno Y,Powrie F,O'Shea JJ","GEOID":"GSE21670","EXACT_SOURCE":"GSE21670_2382_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells: STAT3 [GeneID=6774] knockout versus wildtype.","DESCRIPTION_FULL":"STAT3, an essential transcription factor with pleiotropic functions, plays critical roles in the pathogenesis of autoimmunity. Despite recent data linking STAT3 with inflammatory bowel disease, exactly how it contributes to chronic intestinal inflammation is not known. Using a T cell transfer model of colitis we found that STAT3 expression in T cells was essential for the induction of both colitis and systemic inflammation. STAT3 was critical in modulating the balance of T helper 17 (Th17) and regulatory T (Treg) cells, as well as in promoting CD4+ T cell proliferation. We used chromatin immunoprecipitation and massive parallel sequencing (ChIP-Seq) to define the genome-wide targets of STAT3 in CD4+ T cells. We found that STAT3 bound to multiple genes involved in Th17 cell differentiation, cell activation, proliferation and survival, regulating both expression and epigenetic modifications. Thus, STAT3 orchestrates multiple critical aspects of T cell function in inflammation and homeostasis."}
{"STANDARD_NAME":"GSE21670_UNTREATED_VS_IL6_TREATED_STAT3_KO_CD4_TCELL_UP","SYSTEMATIC_NAME":"M7457","ORGANISM":"Mus musculus","PMID":"20493732","AUTHORS":"Durant L,Watford WT,Ramos HL,Laurence A,Vahedi G,Wei L,Takahashi H,Sun HW,Kanno Y,Powrie F,O'Shea JJ","GEOID":"GSE21670","EXACT_SOURCE":"GSE21670_2383_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells with STAT3 [GeneID=6774] knockout: medium versus IL6 [GeneID=3569].","DESCRIPTION_FULL":"STAT3, an essential transcription factor with pleiotropic functions, plays critical roles in the pathogenesis of autoimmunity. Despite recent data linking STAT3 with inflammatory bowel disease, exactly how it contributes to chronic intestinal inflammation is not known. Using a T cell transfer model of colitis we found that STAT3 expression in T cells was essential for the induction of both colitis and systemic inflammation. STAT3 was critical in modulating the balance of T helper 17 (Th17) and regulatory T (Treg) cells, as well as in promoting CD4+ T cell proliferation. We used chromatin immunoprecipitation and massive parallel sequencing (ChIP-Seq) to define the genome-wide targets of STAT3 in CD4+ T cells. We found that STAT3 bound to multiple genes involved in Th17 cell differentiation, cell activation, proliferation and survival, regulating both expression and epigenetic modifications. Thus, STAT3 orchestrates multiple critical aspects of T cell function in inflammation and homeostasis."}
{"STANDARD_NAME":"GSE21670_UNTREATED_VS_IL6_TREATED_STAT3_KO_CD4_TCELL_DN","SYSTEMATIC_NAME":"M7458","ORGANISM":"Mus musculus","PMID":"20493732","AUTHORS":"Durant L,Watford WT,Ramos HL,Laurence A,Vahedi G,Wei L,Takahashi H,Sun HW,Kanno Y,Powrie F,O'Shea JJ","GEOID":"GSE21670","EXACT_SOURCE":"GSE21670_2383_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells with STAT3 [GeneID=6774] knockout: medium versus IL6 [GeneID=3569].","DESCRIPTION_FULL":"STAT3, an essential transcription factor with pleiotropic functions, plays critical roles in the pathogenesis of autoimmunity. Despite recent data linking STAT3 with inflammatory bowel disease, exactly how it contributes to chronic intestinal inflammation is not known. Using a T cell transfer model of colitis we found that STAT3 expression in T cells was essential for the induction of both colitis and systemic inflammation. STAT3 was critical in modulating the balance of T helper 17 (Th17) and regulatory T (Treg) cells, as well as in promoting CD4+ T cell proliferation. We used chromatin immunoprecipitation and massive parallel sequencing (ChIP-Seq) to define the genome-wide targets of STAT3 in CD4+ T cells. We found that STAT3 bound to multiple genes involved in Th17 cell differentiation, cell activation, proliferation and survival, regulating both expression and epigenetic modifications. Thus, STAT3 orchestrates multiple critical aspects of T cell function in inflammation and homeostasis."}
{"STANDARD_NAME":"GSE21670_UNTREATED_VS_IL6_TREATED_CD4_TCELL_UP","SYSTEMATIC_NAME":"M7459","ORGANISM":"Mus musculus","PMID":"20493732","AUTHORS":"Durant L,Watford WT,Ramos HL,Laurence A,Vahedi G,Wei L,Takahashi H,Sun HW,Kanno Y,Powrie F,O'Shea JJ","GEOID":"GSE21670","EXACT_SOURCE":"GSE21670_2384_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells: medium versus IL6 [GeneID=3569].","DESCRIPTION_FULL":"STAT3, an essential transcription factor with pleiotropic functions, plays critical roles in the pathogenesis of autoimmunity. Despite recent data linking STAT3 with inflammatory bowel disease, exactly how it contributes to chronic intestinal inflammation is not known. Using a T cell transfer model of colitis we found that STAT3 expression in T cells was essential for the induction of both colitis and systemic inflammation. STAT3 was critical in modulating the balance of T helper 17 (Th17) and regulatory T (Treg) cells, as well as in promoting CD4+ T cell proliferation. We used chromatin immunoprecipitation and massive parallel sequencing (ChIP-Seq) to define the genome-wide targets of STAT3 in CD4+ T cells. We found that STAT3 bound to multiple genes involved in Th17 cell differentiation, cell activation, proliferation and survival, regulating both expression and epigenetic modifications. Thus, STAT3 orchestrates multiple critical aspects of T cell function in inflammation and homeostasis."}
{"STANDARD_NAME":"GSE21670_UNTREATED_VS_TGFB_IL6_TREATED_CD4_TCELL_DN","SYSTEMATIC_NAME":"M7460","ORGANISM":"Mus musculus","PMID":"20493732","AUTHORS":"Durant L,Watford WT,Ramos HL,Laurence A,Vahedi G,Wei L,Takahashi H,Sun HW,Kanno Y,Powrie F,O'Shea JJ","GEOID":"GSE21670","EXACT_SOURCE":"GSE21670_2387_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells: medium versus TGF beta and IL6 [GeneID=3569].","DESCRIPTION_FULL":"STAT3, an essential transcription factor with pleiotropic functions, plays critical roles in the pathogenesis of autoimmunity. Despite recent data linking STAT3 with inflammatory bowel disease, exactly how it contributes to chronic intestinal inflammation is not known. Using a T cell transfer model of colitis we found that STAT3 expression in T cells was essential for the induction of both colitis and systemic inflammation. STAT3 was critical in modulating the balance of T helper 17 (Th17) and regulatory T (Treg) cells, as well as in promoting CD4+ T cell proliferation. We used chromatin immunoprecipitation and massive parallel sequencing (ChIP-Seq) to define the genome-wide targets of STAT3 in CD4+ T cells. We found that STAT3 bound to multiple genes involved in Th17 cell differentiation, cell activation, proliferation and survival, regulating both expression and epigenetic modifications. Thus, STAT3 orchestrates multiple critical aspects of T cell function in inflammation and homeostasis."}
{"STANDARD_NAME":"GSE21670_UNTREATED_VS_TGFB_TREATED_STAT3_KO_CD4_TCELL_DN","SYSTEMATIC_NAME":"M7463","ORGANISM":"Mus musculus","PMID":"20493732","AUTHORS":"Durant L,Watford WT,Ramos HL,Laurence A,Vahedi G,Wei L,Takahashi H,Sun HW,Kanno Y,Powrie F,O'Shea JJ","GEOID":"GSE21670","EXACT_SOURCE":"GSE21670_2380_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells with STAT3 [GeneID=6774] knockout: medium versus TGF beta.","DESCRIPTION_FULL":"STAT3, an essential transcription factor with pleiotropic functions, plays critical roles in the pathogenesis of autoimmunity. Despite recent data linking STAT3 with inflammatory bowel disease, exactly how it contributes to chronic intestinal inflammation is not known. Using a T cell transfer model of colitis we found that STAT3 expression in T cells was essential for the induction of both colitis and systemic inflammation. STAT3 was critical in modulating the balance of T helper 17 (Th17) and regulatory T (Treg) cells, as well as in promoting CD4+ T cell proliferation. We used chromatin immunoprecipitation and massive parallel sequencing (ChIP-Seq) to define the genome-wide targets of STAT3 in CD4+ T cells. We found that STAT3 bound to multiple genes involved in Th17 cell differentiation, cell activation, proliferation and survival, regulating both expression and epigenetic modifications. Thus, STAT3 orchestrates multiple critical aspects of T cell function in inflammation and homeostasis."}
{"STANDARD_NAME":"GSE21670_IL6_VS_TGFB_AND_IL6_TREATED_CD4_TCELL_UP","SYSTEMATIC_NAME":"M7464","ORGANISM":"Mus musculus","PMID":"20493732","AUTHORS":"Durant L,Watford WT,Ramos HL,Laurence A,Vahedi G,Wei L,Takahashi H,Sun HW,Kanno Y,Powrie F,O'Shea JJ","GEOID":"GSE21670","EXACT_SOURCE":"GSE21670_2379_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells: IL6 [GeneID=3569] versus TGF beta and IL6 [GeneID=3569].","DESCRIPTION_FULL":"STAT3, an essential transcription factor with pleiotropic functions, plays critical roles in the pathogenesis of autoimmunity. Despite recent data linking STAT3 with inflammatory bowel disease, exactly how it contributes to chronic intestinal inflammation is not known. Using a T cell transfer model of colitis we found that STAT3 expression in T cells was essential for the induction of both colitis and systemic inflammation. STAT3 was critical in modulating the balance of T helper 17 (Th17) and regulatory T (Treg) cells, as well as in promoting CD4+ T cell proliferation. We used chromatin immunoprecipitation and massive parallel sequencing (ChIP-Seq) to define the genome-wide targets of STAT3 in CD4+ T cells. We found that STAT3 bound to multiple genes involved in Th17 cell differentiation, cell activation, proliferation and survival, regulating both expression and epigenetic modifications. Thus, STAT3 orchestrates multiple critical aspects of T cell function in inflammation and homeostasis."}
{"STANDARD_NAME":"GSE21670_UNTREATED_VS_TGFB_IL6_TREATED_CD4_TCELL_UP","SYSTEMATIC_NAME":"M7467","ORGANISM":"Mus musculus","PMID":"20493732","AUTHORS":"Durant L,Watford WT,Ramos HL,Laurence A,Vahedi G,Wei L,Takahashi H,Sun HW,Kanno Y,Powrie F,O'Shea JJ","GEOID":"GSE21670","EXACT_SOURCE":"GSE21670_2387_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells: medium versus TGF beta and IL6 [GeneID=3569].","DESCRIPTION_FULL":"STAT3, an essential transcription factor with pleiotropic functions, plays critical roles in the pathogenesis of autoimmunity. Despite recent data linking STAT3 with inflammatory bowel disease, exactly how it contributes to chronic intestinal inflammation is not known. Using a T cell transfer model of colitis we found that STAT3 expression in T cells was essential for the induction of both colitis and systemic inflammation. STAT3 was critical in modulating the balance of T helper 17 (Th17) and regulatory T (Treg) cells, as well as in promoting CD4+ T cell proliferation. We used chromatin immunoprecipitation and massive parallel sequencing (ChIP-Seq) to define the genome-wide targets of STAT3 in CD4+ T cells. We found that STAT3 bound to multiple genes involved in Th17 cell differentiation, cell activation, proliferation and survival, regulating both expression and epigenetic modifications. Thus, STAT3 orchestrates multiple critical aspects of T cell function in inflammation and homeostasis."}
{"STANDARD_NAME":"GSE21670_STAT3_KO_VS_WT_CD4_TCELL_UP","SYSTEMATIC_NAME":"M7468","ORGANISM":"Mus musculus","PMID":"20493732","AUTHORS":"Durant L,Watford WT,Ramos HL,Laurence A,Vahedi G,Wei L,Takahashi H,Sun HW,Kanno Y,Powrie F,O'Shea JJ","GEOID":"GSE21670","EXACT_SOURCE":"GSE21670_2382_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells: STAT3 [GeneID=6774] knockout versus wildtype.","DESCRIPTION_FULL":"STAT3, an essential transcription factor with pleiotropic functions, plays critical roles in the pathogenesis of autoimmunity. Despite recent data linking STAT3 with inflammatory bowel disease, exactly how it contributes to chronic intestinal inflammation is not known. Using a T cell transfer model of colitis we found that STAT3 expression in T cells was essential for the induction of both colitis and systemic inflammation. STAT3 was critical in modulating the balance of T helper 17 (Th17) and regulatory T (Treg) cells, as well as in promoting CD4+ T cell proliferation. We used chromatin immunoprecipitation and massive parallel sequencing (ChIP-Seq) to define the genome-wide targets of STAT3 in CD4+ T cells. We found that STAT3 bound to multiple genes involved in Th17 cell differentiation, cell activation, proliferation and survival, regulating both expression and epigenetic modifications. Thus, STAT3 orchestrates multiple critical aspects of T cell function in inflammation and homeostasis."}
{"STANDARD_NAME":"GSE21670_STAT3_KO_VS_WT_CD4_TCELL_IL6_TREATED_DN","SYSTEMATIC_NAME":"M7469","ORGANISM":"Mus musculus","PMID":"20493732","AUTHORS":"Durant L,Watford WT,Ramos HL,Laurence A,Vahedi G,Wei L,Takahashi H,Sun HW,Kanno Y,Powrie F,O'Shea JJ","GEOID":"GSE21670","EXACT_SOURCE":"GSE21670_2388_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells treated with IL6 [GeneID=3569]: STAT3 [GeneID=6774] knockout versus wildtype.","DESCRIPTION_FULL":"STAT3, an essential transcription factor with pleiotropic functions, plays critical roles in the pathogenesis of autoimmunity. Despite recent data linking STAT3 with inflammatory bowel disease, exactly how it contributes to chronic intestinal inflammation is not known. Using a T cell transfer model of colitis we found that STAT3 expression in T cells was essential for the induction of both colitis and systemic inflammation. STAT3 was critical in modulating the balance of T helper 17 (Th17) and regulatory T (Treg) cells, as well as in promoting CD4+ T cell proliferation. We used chromatin immunoprecipitation and massive parallel sequencing (ChIP-Seq) to define the genome-wide targets of STAT3 in CD4+ T cells. We found that STAT3 bound to multiple genes involved in Th17 cell differentiation, cell activation, proliferation and survival, regulating both expression and epigenetic modifications. Thus, STAT3 orchestrates multiple critical aspects of T cell function in inflammation and homeostasis."}
{"STANDARD_NAME":"GSE21670_UNTREATED_VS_TGFB_TREATED_CD4_TCELL_UP","SYSTEMATIC_NAME":"M7471","ORGANISM":"Mus musculus","PMID":"20493732","AUTHORS":"Durant L,Watford WT,Ramos HL,Laurence A,Vahedi G,Wei L,Takahashi H,Sun HW,Kanno Y,Powrie F,O'Shea JJ","GEOID":"GSE21670","EXACT_SOURCE":"GSE21670_2381_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells: medium versus TGF beta.","DESCRIPTION_FULL":"STAT3, an essential transcription factor with pleiotropic functions, plays critical roles in the pathogenesis of autoimmunity. Despite recent data linking STAT3 with inflammatory bowel disease, exactly how it contributes to chronic intestinal inflammation is not known. Using a T cell transfer model of colitis we found that STAT3 expression in T cells was essential for the induction of both colitis and systemic inflammation. STAT3 was critical in modulating the balance of T helper 17 (Th17) and regulatory T (Treg) cells, as well as in promoting CD4+ T cell proliferation. We used chromatin immunoprecipitation and massive parallel sequencing (ChIP-Seq) to define the genome-wide targets of STAT3 in CD4+ T cells. We found that STAT3 bound to multiple genes involved in Th17 cell differentiation, cell activation, proliferation and survival, regulating both expression and epigenetic modifications. Thus, STAT3 orchestrates multiple critical aspects of T cell function in inflammation and homeostasis."}
{"STANDARD_NAME":"GSE21670_UNTREATED_VS_TGFB_TREATED_CD4_TCELL_DN","SYSTEMATIC_NAME":"M7472","ORGANISM":"Mus musculus","PMID":"20493732","AUTHORS":"Durant L,Watford WT,Ramos HL,Laurence A,Vahedi G,Wei L,Takahashi H,Sun HW,Kanno Y,Powrie F,O'Shea JJ","GEOID":"GSE21670","EXACT_SOURCE":"GSE21670_2381_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells: medium versus TGF beta.","DESCRIPTION_FULL":"STAT3, an essential transcription factor with pleiotropic functions, plays critical roles in the pathogenesis of autoimmunity. Despite recent data linking STAT3 with inflammatory bowel disease, exactly how it contributes to chronic intestinal inflammation is not known. Using a T cell transfer model of colitis we found that STAT3 expression in T cells was essential for the induction of both colitis and systemic inflammation. STAT3 was critical in modulating the balance of T helper 17 (Th17) and regulatory T (Treg) cells, as well as in promoting CD4+ T cell proliferation. We used chromatin immunoprecipitation and massive parallel sequencing (ChIP-Seq) to define the genome-wide targets of STAT3 in CD4+ T cells. We found that STAT3 bound to multiple genes involved in Th17 cell differentiation, cell activation, proliferation and survival, regulating both expression and epigenetic modifications. Thus, STAT3 orchestrates multiple critical aspects of T cell function in inflammation and homeostasis."}
{"STANDARD_NAME":"GSE21670_IL6_VS_TGFB_AND_IL6_TREATED_CD4_TCELL_DN","SYSTEMATIC_NAME":"M7473","ORGANISM":"Mus musculus","PMID":"20493732","AUTHORS":"Durant L,Watford WT,Ramos HL,Laurence A,Vahedi G,Wei L,Takahashi H,Sun HW,Kanno Y,Powrie F,O'Shea JJ","GEOID":"GSE21670","EXACT_SOURCE":"GSE21670_2379_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells: IL6 [GeneID=3569] versus TGF beta and IL6 [GeneID=3569].","DESCRIPTION_FULL":"STAT3, an essential transcription factor with pleiotropic functions, plays critical roles in the pathogenesis of autoimmunity. Despite recent data linking STAT3 with inflammatory bowel disease, exactly how it contributes to chronic intestinal inflammation is not known. Using a T cell transfer model of colitis we found that STAT3 expression in T cells was essential for the induction of both colitis and systemic inflammation. STAT3 was critical in modulating the balance of T helper 17 (Th17) and regulatory T (Treg) cells, as well as in promoting CD4+ T cell proliferation. We used chromatin immunoprecipitation and massive parallel sequencing (ChIP-Seq) to define the genome-wide targets of STAT3 in CD4+ T cells. We found that STAT3 bound to multiple genes involved in Th17 cell differentiation, cell activation, proliferation and survival, regulating both expression and epigenetic modifications. Thus, STAT3 orchestrates multiple critical aspects of T cell function in inflammation and homeostasis."}
{"STANDARD_NAME":"GSE21670_UNTREATED_VS_TGFB_TREATED_STAT3_KO_CD4_TCELL_UP","SYSTEMATIC_NAME":"M7474","ORGANISM":"Mus musculus","PMID":"20493732","AUTHORS":"Durant L,Watford WT,Ramos HL,Laurence A,Vahedi G,Wei L,Takahashi H,Sun HW,Kanno Y,Powrie F,O'Shea JJ","GEOID":"GSE21670","EXACT_SOURCE":"GSE21670_2380_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells with STAT3 [GeneID=6774] knockout: medium versus TGF beta.","DESCRIPTION_FULL":"STAT3, an essential transcription factor with pleiotropic functions, plays critical roles in the pathogenesis of autoimmunity. Despite recent data linking STAT3 with inflammatory bowel disease, exactly how it contributes to chronic intestinal inflammation is not known. Using a T cell transfer model of colitis we found that STAT3 expression in T cells was essential for the induction of both colitis and systemic inflammation. STAT3 was critical in modulating the balance of T helper 17 (Th17) and regulatory T (Treg) cells, as well as in promoting CD4+ T cell proliferation. We used chromatin immunoprecipitation and massive parallel sequencing (ChIP-Seq) to define the genome-wide targets of STAT3 in CD4+ T cells. We found that STAT3 bound to multiple genes involved in Th17 cell differentiation, cell activation, proliferation and survival, regulating both expression and epigenetic modifications. Thus, STAT3 orchestrates multiple critical aspects of T cell function in inflammation and homeostasis."}
{"STANDARD_NAME":"GSE21670_STAT3_KO_VS_WT_CD4_TCELL_IL6_TREATED_UP","SYSTEMATIC_NAME":"M7475","ORGANISM":"Mus musculus","PMID":"20493732","AUTHORS":"Durant L,Watford WT,Ramos HL,Laurence A,Vahedi G,Wei L,Takahashi H,Sun HW,Kanno Y,Powrie F,O'Shea JJ","GEOID":"GSE21670","EXACT_SOURCE":"GSE21670_2388_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells treated with IL6 [GeneID=3569]: STAT3 [GeneID=6774] knockout versus wildtype.","DESCRIPTION_FULL":"STAT3, an essential transcription factor with pleiotropic functions, plays critical roles in the pathogenesis of autoimmunity. Despite recent data linking STAT3 with inflammatory bowel disease, exactly how it contributes to chronic intestinal inflammation is not known. Using a T cell transfer model of colitis we found that STAT3 expression in T cells was essential for the induction of both colitis and systemic inflammation. STAT3 was critical in modulating the balance of T helper 17 (Th17) and regulatory T (Treg) cells, as well as in promoting CD4+ T cell proliferation. We used chromatin immunoprecipitation and massive parallel sequencing (ChIP-Seq) to define the genome-wide targets of STAT3 in CD4+ T cells. We found that STAT3 bound to multiple genes involved in Th17 cell differentiation, cell activation, proliferation and survival, regulating both expression and epigenetic modifications. Thus, STAT3 orchestrates multiple critical aspects of T cell function in inflammation and homeostasis."}
{"STANDARD_NAME":"GSE22229_UNTREATED_VS_IMMUNOSUPP_THERAPY_RENAL_TRANSPLANT_PATIENT_PBMC_UP","SYSTEMATIC_NAME":"M7478","ORGANISM":"Homo sapiens","PMID":"20501946","AUTHORS":"Newell KA,Asare A,Kirk AD,Gisler TD,Bourcier K,Suthanthiran M,Burlingham WJ,Marks WH,Sanz I,Lechler RI,Hernandez-Fuentes MP,Turka LA,Seyfert-Margolis VL,LastName M","GEOID":"GSE22229","EXACT_SOURCE":"GSE22229_2395_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in periperal blood monocytes (PBMC) from kidney transplant recipients: tolerant versus immunosuppressive therapy.","DESCRIPTION_FULL":"In this study, investigators recruited the largest reported cohort of tolerant kidney transplant recipients who maintained their graft after ceasing to take their immunosuppression drug, and compared this cohort to subjects with stable allograft function while on immunosuppression and healthy non transplated, controls. Using gene expression studies, they identified genetic markers that are strong candidates for predicting kidney transplant candidates who may benefit from minimization or withdrawl of immunosuppression. Microarrays were used to detect expressed gene profiles of whole-blood total RNA from subjects in the tolerant, standard immunotherapy and healthy control participants"}
{"STANDARD_NAME":"GSE22229_RENAL_TRANSPLANT_IMMUNOSUPP_THERAPY_VS_HEALTHY_PBMC_DN","SYSTEMATIC_NAME":"M7479","ORGANISM":"Homo sapiens","PMID":"20501946","AUTHORS":"Newell KA,Asare A,Kirk AD,Gisler TD,Bourcier K,Suthanthiran M,Burlingham WJ,Marks WH,Sanz I,Lechler RI,Hernandez-Fuentes MP,Turka LA,Seyfert-Margolis VL,LastName M","GEOID":"GSE22229","EXACT_SOURCE":"GSE22229_2397_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in periperal blood monocytes (PBMC): kidney transplant recipients receiving immunosuppression therapy versus healthy controls.","DESCRIPTION_FULL":"In this study, investigators recruited the largest reported cohort of tolerant kidney transplant recipients who maintained their graft after ceasing to take their immunosuppression drug, and compared this cohort to subjects with stable allograft function while on immunosuppression and healthy non transplated, controls. Using gene expression studies, they identified genetic markers that are strong candidates for predicting kidney transplant candidates who may benefit from minimization or withdrawl of immunosuppression. Microarrays were used to detect expressed gene profiles of whole-blood total RNA from subjects in the tolerant, standard immunotherapy and healthy control participants"}
{"STANDARD_NAME":"GSE22229_RENAL_TRANSPLANT_VS_HEALTHY_PBMC_DN","SYSTEMATIC_NAME":"M7480","ORGANISM":"Homo sapiens","PMID":"20501946","AUTHORS":"Newell KA,Asare A,Kirk AD,Gisler TD,Bourcier K,Suthanthiran M,Burlingham WJ,Marks WH,Sanz I,Lechler RI,Hernandez-Fuentes MP,Turka LA,Seyfert-Margolis VL,LastName M","GEOID":"GSE22229","EXACT_SOURCE":"GSE22229_2396_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in periperal blood monocytes (PBMC): tolerant kidney transplants versus healthy controls.","DESCRIPTION_FULL":"In this study, investigators recruited the largest reported cohort of tolerant kidney transplant recipients who maintained their graft after ceasing to take their immunosuppression drug, and compared this cohort to subjects with stable allograft function while on immunosuppression and healthy non transplated, controls. Using gene expression studies, they identified genetic markers that are strong candidates for predicting kidney transplant candidates who may benefit from minimization or withdrawl of immunosuppression. Microarrays were used to detect expressed gene profiles of whole-blood total RNA from subjects in the tolerant, standard immunotherapy and healthy control participants"}
{"STANDARD_NAME":"GSE22229_RENAL_TRANSPLANT_IMMUNOSUPP_THERAPY_VS_HEALTHY_PBMC_UP","SYSTEMATIC_NAME":"M7483","ORGANISM":"Homo sapiens","PMID":"20501946","AUTHORS":"Newell KA,Asare A,Kirk AD,Gisler TD,Bourcier K,Suthanthiran M,Burlingham WJ,Marks WH,Sanz I,Lechler RI,Hernandez-Fuentes MP,Turka LA,Seyfert-Margolis VL,LastName M","GEOID":"GSE22229","EXACT_SOURCE":"GSE22229_2397_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in periperal blood monocytes (PBMC): kidney transplant recipients receiving immunosuppression therapy versus healthy controls.","DESCRIPTION_FULL":"In this study, investigators recruited the largest reported cohort of tolerant kidney transplant recipients who maintained their graft after ceasing to take their immunosuppression drug, and compared this cohort to subjects with stable allograft function while on immunosuppression and healthy non transplated, controls. Using gene expression studies, they identified genetic markers that are strong candidates for predicting kidney transplant candidates who may benefit from minimization or withdrawl of immunosuppression. Microarrays were used to detect expressed gene profiles of whole-blood total RNA from subjects in the tolerant, standard immunotherapy and healthy control participants"}
{"STANDARD_NAME":"GSE22229_UNTREATED_VS_IMMUNOSUPP_THERAPY_RENAL_TRANSPLANT_PATIENT_PBMC_DN","SYSTEMATIC_NAME":"M7485","ORGANISM":"Homo sapiens","PMID":"20501946","AUTHORS":"Newell KA,Asare A,Kirk AD,Gisler TD,Bourcier K,Suthanthiran M,Burlingham WJ,Marks WH,Sanz I,Lechler RI,Hernandez-Fuentes MP,Turka LA,Seyfert-Margolis VL,LastName M","GEOID":"GSE22229","EXACT_SOURCE":"GSE22229_2395_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in periperal blood monocytes (PBMC) from kidney transplant recipients: tolerant versus immunosuppressive therapy.","DESCRIPTION_FULL":"In this study, investigators recruited the largest reported cohort of tolerant kidney transplant recipients who maintained their graft after ceasing to take their immunosuppression drug, and compared this cohort to subjects with stable allograft function while on immunosuppression and healthy non transplated, controls. Using gene expression studies, they identified genetic markers that are strong candidates for predicting kidney transplant candidates who may benefit from minimization or withdrawl of immunosuppression. Microarrays were used to detect expressed gene profiles of whole-blood total RNA from subjects in the tolerant, standard immunotherapy and healthy control participants"}
{"STANDARD_NAME":"GSE22229_RENAL_TRANSPLANT_VS_HEALTHY_PBMC_UP","SYSTEMATIC_NAME":"M7486","ORGANISM":"Homo sapiens","PMID":"20501946","AUTHORS":"Newell KA,Asare A,Kirk AD,Gisler TD,Bourcier K,Suthanthiran M,Burlingham WJ,Marks WH,Sanz I,Lechler RI,Hernandez-Fuentes MP,Turka LA,Seyfert-Margolis VL,LastName M","GEOID":"GSE22229","EXACT_SOURCE":"GSE22229_2396_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in periperal blood monocytes (PBMC): tolerant kidney transplants versus healthy controls.","DESCRIPTION_FULL":"In this study, investigators recruited the largest reported cohort of tolerant kidney transplant recipients who maintained their graft after ceasing to take their immunosuppression drug, and compared this cohort to subjects with stable allograft function while on immunosuppression and healthy non transplated, controls. Using gene expression studies, they identified genetic markers that are strong candidates for predicting kidney transplant candidates who may benefit from minimization or withdrawl of immunosuppression. Microarrays were used to detect expressed gene profiles of whole-blood total RNA from subjects in the tolerant, standard immunotherapy and healthy control participants"}
{"STANDARD_NAME":"GSE21774_CD56_BRIGHT_VS_DIM_CD62L_POSITIVE_NK_CELL_UP","SYSTEMATIC_NAME":"M7489","ORGANISM":"Homo sapiens","PMID":"20505160","AUTHORS":"Juelke K,Killig M,Luetke-Eversloh M,Parente E,Gruen J,Morandi B,Ferlazzo G,Thiel A,Schmitt-Knosalla I,Romagnani C","GEOID":"GSE21774","EXACT_SOURCE":"GSE21774_3813_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in NCAM+ [GeneID=4684] NK cells: SELL bright [GeneID=6402] versus SELL dim [GeneID=6402].","DESCRIPTION_FULL":"Human Natural Killer (NK) cells comprise two main subsets, CD56bright and CD56dim cells, that differ in function, phenotype and tissue localization. To further dissect the heterogeneity of CD56dim cells, we have performed transcriptome analysis and functional ex vivo characterization of human NK cell subsets according to the expression of markers related to differentiation, migration or competence. Here, we show for the first time that the ability to respond to cytokines or to activating receptors is mutually exclusive in almost all NK cells with the exception of CD56dim CD62L+ cells. Indeed, only these cells combine the ability to produce interferon (IFN)-gamma after cytokines and proliferate in vivo during viral infection with the capacity to kill and produce cytokines upon engagement of activating receptors. Therefore, CD56dim CD62L+ cells represent a unique subset of polyfunctional NK cells. Ex vivo analysis of their function, phenotype, telomere length, frequencies during ageing as well as transfer experiments of NK cell subsets into immunodeficient mice suggest that CD56dim CD62L+ cells represent an intermediate stage of NK cell maturation, which after restimulation can accomplish multiple tasks and further develop into terminally differentiated effectors."}
{"STANDARD_NAME":"GSE21774_CD62L_POS_CD56_BRIGHT_VS_CD62L_NEG_CD56_DIM_NK_CELL_UP","SYSTEMATIC_NAME":"M7490","ORGANISM":"Homo sapiens","PMID":"20505160","AUTHORS":"Juelke K,Killig M,Luetke-Eversloh M,Parente E,Gruen J,Morandi B,Ferlazzo G,Thiel A,Schmitt-Knosalla I,Romagnani C","GEOID":"GSE21774","EXACT_SOURCE":"GSE21774_3814_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in NCAM1+ SELL bright [GeneID=4684;6402] versus NCAM1- SELL dim [GeneID=4684;6402].","DESCRIPTION_FULL":"Human Natural Killer (NK) cells comprise two main subsets, CD56bright and CD56dim cells, that differ in function, phenotype and tissue localization. To further dissect the heterogeneity of CD56dim cells, we have performed transcriptome analysis and functional ex vivo characterization of human NK cell subsets according to the expression of markers related to differentiation, migration or competence. Here, we show for the first time that the ability to respond to cytokines or to activating receptors is mutually exclusive in almost all NK cells with the exception of CD56dim CD62L+ cells. Indeed, only these cells combine the ability to produce interferon (IFN)-gamma after cytokines and proliferate in vivo during viral infection with the capacity to kill and produce cytokines upon engagement of activating receptors. Therefore, CD56dim CD62L+ cells represent a unique subset of polyfunctional NK cells. Ex vivo analysis of their function, phenotype, telomere length, frequencies during ageing as well as transfer experiments of NK cell subsets into immunodeficient mice suggest that CD56dim CD62L+ cells represent an intermediate stage of NK cell maturation, which after restimulation can accomplish multiple tasks and further develop into terminally differentiated effectors."}
{"STANDARD_NAME":"GSE21774_CD62L_POS_CD56_DIM_VS_CD62L_NEG_CD56_DIM_NK_CELL_UP","SYSTEMATIC_NAME":"M7491","ORGANISM":"Homo sapiens","PMID":"20505160","AUTHORS":"Juelke K,Killig M,Luetke-Eversloh M,Parente E,Gruen J,Morandi B,Ferlazzo G,Thiel A,Schmitt-Knosalla I,Romagnani C","GEOID":"GSE21774","EXACT_SOURCE":"GSE21774_3815_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in SELL dim [GeneID=6402] NK cells: NCAM1+ [GeneID=4684] versus NCAM1- [GeneID=4684].","DESCRIPTION_FULL":"Human Natural Killer (NK) cells comprise two main subsets, CD56bright and CD56dim cells, that differ in function, phenotype and tissue localization. To further dissect the heterogeneity of CD56dim cells, we have performed transcriptome analysis and functional ex vivo characterization of human NK cell subsets according to the expression of markers related to differentiation, migration or competence. Here, we show for the first time that the ability to respond to cytokines or to activating receptors is mutually exclusive in almost all NK cells with the exception of CD56dim CD62L+ cells. Indeed, only these cells combine the ability to produce interferon (IFN)-gamma after cytokines and proliferate in vivo during viral infection with the capacity to kill and produce cytokines upon engagement of activating receptors. Therefore, CD56dim CD62L+ cells represent a unique subset of polyfunctional NK cells. Ex vivo analysis of their function, phenotype, telomere length, frequencies during ageing as well as transfer experiments of NK cell subsets into immunodeficient mice suggest that CD56dim CD62L+ cells represent an intermediate stage of NK cell maturation, which after restimulation can accomplish multiple tasks and further develop into terminally differentiated effectors."}
{"STANDARD_NAME":"GSE21774_CD56_BRIGHT_VS_DIM_CD62L_POSITIVE_NK_CELL_DN","SYSTEMATIC_NAME":"M7492","ORGANISM":"Homo sapiens","PMID":"20505160","AUTHORS":"Juelke K,Killig M,Luetke-Eversloh M,Parente E,Gruen J,Morandi B,Ferlazzo G,Thiel A,Schmitt-Knosalla I,Romagnani C","GEOID":"GSE21774","EXACT_SOURCE":"GSE21774_3813_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in NCAM+ [GeneID=4684] NK cells: SELL bright [GeneID=6402] versus SELL dim [GeneID=6402].","DESCRIPTION_FULL":"Human Natural Killer (NK) cells comprise two main subsets, CD56bright and CD56dim cells, that differ in function, phenotype and tissue localization. To further dissect the heterogeneity of CD56dim cells, we have performed transcriptome analysis and functional ex vivo characterization of human NK cell subsets according to the expression of markers related to differentiation, migration or competence. Here, we show for the first time that the ability to respond to cytokines or to activating receptors is mutually exclusive in almost all NK cells with the exception of CD56dim CD62L+ cells. Indeed, only these cells combine the ability to produce interferon (IFN)-gamma after cytokines and proliferate in vivo during viral infection with the capacity to kill and produce cytokines upon engagement of activating receptors. Therefore, CD56dim CD62L+ cells represent a unique subset of polyfunctional NK cells. Ex vivo analysis of their function, phenotype, telomere length, frequencies during ageing as well as transfer experiments of NK cell subsets into immunodeficient mice suggest that CD56dim CD62L+ cells represent an intermediate stage of NK cell maturation, which after restimulation can accomplish multiple tasks and further develop into terminally differentiated effectors."}
{"STANDARD_NAME":"GSE21774_CD62L_POS_CD56_BRIGHT_VS_CD62L_NEG_CD56_DIM_NK_CELL_DN","SYSTEMATIC_NAME":"M7495","ORGANISM":"Homo sapiens","PMID":"20505160","AUTHORS":"Juelke K,Killig M,Luetke-Eversloh M,Parente E,Gruen J,Morandi B,Ferlazzo G,Thiel A,Schmitt-Knosalla I,Romagnani C","GEOID":"GSE21774","EXACT_SOURCE":"GSE21774_3814_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in NCAM1+ SELL bright [GeneID=4684;6402] versus NCAM1- SELL dim [GeneID=4684;6402].","DESCRIPTION_FULL":"Human Natural Killer (NK) cells comprise two main subsets, CD56bright and CD56dim cells, that differ in function, phenotype and tissue localization. To further dissect the heterogeneity of CD56dim cells, we have performed transcriptome analysis and functional ex vivo characterization of human NK cell subsets according to the expression of markers related to differentiation, migration or competence. Here, we show for the first time that the ability to respond to cytokines or to activating receptors is mutually exclusive in almost all NK cells with the exception of CD56dim CD62L+ cells. Indeed, only these cells combine the ability to produce interferon (IFN)-gamma after cytokines and proliferate in vivo during viral infection with the capacity to kill and produce cytokines upon engagement of activating receptors. Therefore, CD56dim CD62L+ cells represent a unique subset of polyfunctional NK cells. Ex vivo analysis of their function, phenotype, telomere length, frequencies during ageing as well as transfer experiments of NK cell subsets into immunodeficient mice suggest that CD56dim CD62L+ cells represent an intermediate stage of NK cell maturation, which after restimulation can accomplish multiple tasks and further develop into terminally differentiated effectors."}
{"STANDARD_NAME":"GSE21774_CD62L_POS_CD56_DIM_VS_CD62L_NEG_CD56_DIM_NK_CELL_DN","SYSTEMATIC_NAME":"M7496","ORGANISM":"Homo sapiens","PMID":"20505160","AUTHORS":"Juelke K,Killig M,Luetke-Eversloh M,Parente E,Gruen J,Morandi B,Ferlazzo G,Thiel A,Schmitt-Knosalla I,Romagnani C","GEOID":"GSE21774","EXACT_SOURCE":"GSE21774_3815_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in SELL dim [GeneID=6402] NK cells: NCAM1+ [GeneID=4684] versus NCAM1- [GeneID=4684].","DESCRIPTION_FULL":"Human Natural Killer (NK) cells comprise two main subsets, CD56bright and CD56dim cells, that differ in function, phenotype and tissue localization. To further dissect the heterogeneity of CD56dim cells, we have performed transcriptome analysis and functional ex vivo characterization of human NK cell subsets according to the expression of markers related to differentiation, migration or competence. Here, we show for the first time that the ability to respond to cytokines or to activating receptors is mutually exclusive in almost all NK cells with the exception of CD56dim CD62L+ cells. Indeed, only these cells combine the ability to produce interferon (IFN)-gamma after cytokines and proliferate in vivo during viral infection with the capacity to kill and produce cytokines upon engagement of activating receptors. Therefore, CD56dim CD62L+ cells represent a unique subset of polyfunctional NK cells. Ex vivo analysis of their function, phenotype, telomere length, frequencies during ageing as well as transfer experiments of NK cell subsets into immunodeficient mice suggest that CD56dim CD62L+ cells represent an intermediate stage of NK cell maturation, which after restimulation can accomplish multiple tasks and further develop into terminally differentiated effectors."}
{"STANDARD_NAME":"GSE21379_WT_VS_SAP_KO_TFH_CD4_TCELL_DN","SYSTEMATIC_NAME":"M7498","ORGANISM":"Mus musculus","PMID":"20525889","AUTHORS":"Yusuf I,Kageyama R,Monticelli L,Johnston RJ,Ditoro D,Hansen K,Barnett B,Crotty S","GEOID":"GSE21379","EXACT_SOURCE":"GSE21379_3025_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] follicular helper T cells (Tfh) with SH2D1A [GeneID=4068] knockout versus wildtype Tfh cells.","DESCRIPTION_FULL":"CD4 T cell help is critical for both the generation and maintenance of germinal centers, and T follicular helper (TFH) cells are the CD4 T cell subset required for this process. SAP (SH2D1A) expression in CD4 T cells is essential for germinal center development. However, SAP-deficient mice have only a moderate defect in TFH differentiation as defined by common TFH surface markers. CXCR5+ TFH cells are found within the germinal center as well as along the boundary regions of T/B cell zones. Here we show that germinal center associated T cells (GC TFH) can be identified by their co-expression of CXCR5 and the GL7 epitope, allowing for phenotypic and functional analysis of TFH and GC TFH populations. Here we show GC TFH are a functionally discrete subset of further polarized TFH cells, with enhanced B cell help capacity and a specialized ability to produce IL-4 in a TH2-independent manner. Strikingly, SAP-deficient mice have an absence of the GC TFH subset and SAP- TFH are defective in IL-4 and IL-21 production. We further demonstrate that SLAM (Slamf1, CD150), a surface receptor that utilizes SAP signaling, is specifically required for IL-4 production by GC TFH. GC TFH cells require IL-4 and IL-21 production for optimal help to B cells. These data illustrate complexities of SAP-dependent SLAM family receptor signaling, revealing a prominent role for SLAM receptor ligation in IL-4 production by germinal center CD4 T cells but not in TFH and GC TFH differentiation."}
{"STANDARD_NAME":"GSE21379_WT_VS_SAP_KO_CD4_TCELL_UP","SYSTEMATIC_NAME":"M7499","ORGANISM":"Mus musculus","PMID":"20525889","AUTHORS":"Yusuf I,Kageyama R,Monticelli L,Johnston RJ,Ditoro D,Hansen K,Barnett B,Crotty S","GEOID":"GSE21379","EXACT_SOURCE":"GSE21379_3026_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] non-follicular helper T cells: wildtype versus SH2D1A [GeneID=4068] knockout.","DESCRIPTION_FULL":"CD4 T cell help is critical for both the generation and maintenance of germinal centers, and T follicular helper (TFH) cells are the CD4 T cell subset required for this process. SAP (SH2D1A) expression in CD4 T cells is essential for germinal center development. However, SAP-deficient mice have only a moderate defect in TFH differentiation as defined by common TFH surface markers. CXCR5+ TFH cells are found within the germinal center as well as along the boundary regions of T/B cell zones. Here we show that germinal center associated T cells (GC TFH) can be identified by their co-expression of CXCR5 and the GL7 epitope, allowing for phenotypic and functional analysis of TFH and GC TFH populations. Here we show GC TFH are a functionally discrete subset of further polarized TFH cells, with enhanced B cell help capacity and a specialized ability to produce IL-4 in a TH2-independent manner. Strikingly, SAP-deficient mice have an absence of the GC TFH subset and SAP- TFH are defective in IL-4 and IL-21 production. We further demonstrate that SLAM (Slamf1, CD150), a surface receptor that utilizes SAP signaling, is specifically required for IL-4 production by GC TFH. GC TFH cells require IL-4 and IL-21 production for optimal help to B cells. These data illustrate complexities of SAP-dependent SLAM family receptor signaling, revealing a prominent role for SLAM receptor ligation in IL-4 production by germinal center CD4 T cells but not in TFH and GC TFH differentiation."}
{"STANDARD_NAME":"GSE21379_TFH_VS_NON_TFH_CD4_TCELL_UP","SYSTEMATIC_NAME":"M7500","ORGANISM":"Mus musculus","PMID":"20525889","AUTHORS":"Yusuf I,Kageyama R,Monticelli L,Johnston RJ,Ditoro D,Hansen K,Barnett B,Crotty S","GEOID":"GSE21379","EXACT_SOURCE":"GSE21379_3023_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] follicular helper T cells (Tfh) versus non-Tfh.","DESCRIPTION_FULL":"CD4 T cell help is critical for both the generation and maintenance of germinal centers, and T follicular helper (TFH) cells are the CD4 T cell subset required for this process. SAP (SH2D1A) expression in CD4 T cells is essential for germinal center development. However, SAP-deficient mice have only a moderate defect in TFH differentiation as defined by common TFH surface markers. CXCR5+ TFH cells are found within the germinal center as well as along the boundary regions of T/B cell zones. Here we show that germinal center associated T cells (GC TFH) can be identified by their co-expression of CXCR5 and the GL7 epitope, allowing for phenotypic and functional analysis of TFH and GC TFH populations. Here we show GC TFH are a functionally discrete subset of further polarized TFH cells, with enhanced B cell help capacity and a specialized ability to produce IL-4 in a TH2-independent manner. Strikingly, SAP-deficient mice have an absence of the GC TFH subset and SAP- TFH are defective in IL-4 and IL-21 production. We further demonstrate that SLAM (Slamf1, CD150), a surface receptor that utilizes SAP signaling, is specifically required for IL-4 production by GC TFH. GC TFH cells require IL-4 and IL-21 production for optimal help to B cells. These data illustrate complexities of SAP-dependent SLAM family receptor signaling, revealing a prominent role for SLAM receptor ligation in IL-4 production by germinal center CD4 T cells but not in TFH and GC TFH differentiation."}
{"STANDARD_NAME":"GSE21379_WT_VS_SAP_KO_TFH_CD4_TCELL_UP","SYSTEMATIC_NAME":"M7501","ORGANISM":"Mus musculus","PMID":"20525889","AUTHORS":"Yusuf I,Kageyama R,Monticelli L,Johnston RJ,Ditoro D,Hansen K,Barnett B,Crotty S","GEOID":"GSE21379","EXACT_SOURCE":"GSE21379_3025_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] follicular helper T cells (Tfh) with SH2D1A [GeneID=4068] knockout versus wildtype Tfh cells.","DESCRIPTION_FULL":"CD4 T cell help is critical for both the generation and maintenance of germinal centers, and T follicular helper (TFH) cells are the CD4 T cell subset required for this process. SAP (SH2D1A) expression in CD4 T cells is essential for germinal center development. However, SAP-deficient mice have only a moderate defect in TFH differentiation as defined by common TFH surface markers. CXCR5+ TFH cells are found within the germinal center as well as along the boundary regions of T/B cell zones. Here we show that germinal center associated T cells (GC TFH) can be identified by their co-expression of CXCR5 and the GL7 epitope, allowing for phenotypic and functional analysis of TFH and GC TFH populations. Here we show GC TFH are a functionally discrete subset of further polarized TFH cells, with enhanced B cell help capacity and a specialized ability to produce IL-4 in a TH2-independent manner. Strikingly, SAP-deficient mice have an absence of the GC TFH subset and SAP- TFH are defective in IL-4 and IL-21 production. We further demonstrate that SLAM (Slamf1, CD150), a surface receptor that utilizes SAP signaling, is specifically required for IL-4 production by GC TFH. GC TFH cells require IL-4 and IL-21 production for optimal help to B cells. These data illustrate complexities of SAP-dependent SLAM family receptor signaling, revealing a prominent role for SLAM receptor ligation in IL-4 production by germinal center CD4 T cells but not in TFH and GC TFH differentiation."}
{"STANDARD_NAME":"GSE21380_NON_TFH_VS_TFH_CD4_TCELL_DN","SYSTEMATIC_NAME":"M7502","ORGANISM":"Mus musculus","PMID":"20525889","AUTHORS":"Yusuf I,Kageyama R,Monticelli L,Johnston RJ,Ditoro D,Hansen K,Barnett B,Crotty S","GEOID":"GSE21380","EXACT_SOURCE":"GSE21380_2730_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells: non-Tfh versus Tfh (T follicular helper).","DESCRIPTION_FULL":"CD4 T cell help is critical for both the generation and maintenance of germinal centers, and T follicular helper (TFH) cells are the CD4 T cell subset required for this process. SAP (SH2D1A) expression in CD4 T cells is essential for germinal center development. However, SAP-deficient mice have only a moderate defect in TFH differentiation as defined by common TFH surface markers. CXCR5+ TFH cells are found within the germinal center as well as along the boundary regions of T/B cell zones. Here we show that germinal center associated T cells (GC TFH) can be identified by their co-expression of CXCR5 and the GL7 epitope, allowing for phenotypic and functional analysis of TFH and GC TFH populations. Here we show GC TFH are a functionally discrete subset of further polarized TFH cells, with enhanced B cell help capacity and a specialized ability to produce IL-4 in a TH2-independent manner. Strikingly, SAP-deficient mice have an absence of the GC TFH subset and SAP- TFH are defective in IL-4 and IL-21 production. We further demonstrate that SLAM (Slamf1, CD150), a surface receptor that utilizes SAP signaling, is specifically required for IL-4 production by GC TFH. GC TFH cells require IL-4 and IL-21 production for optimal help to B cells. These data illustrate complexities of SAP-dependent SLAM family receptor signaling, revealing a prominent role for SLAM receptor ligation in IL-4 production by germinal center CD4 T cells but not in TFH and GC TFH differentiation."}
{"STANDARD_NAME":"GSE21380_NON_TFH_VS_GERMINAL_CENTER_TFH_CD4_TCELL_UP","SYSTEMATIC_NAME":"M7503","ORGANISM":"Mus musculus","PMID":"20525889","AUTHORS":"Yusuf I,Kageyama R,Monticelli L,Johnston RJ,Ditoro D,Hansen K,Barnett B,Crotty S","GEOID":"GSE21380","EXACT_SOURCE":"GSE21380_2731_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells: non-Tfh versus Tfh (T follicular helper) from germinal center.","DESCRIPTION_FULL":"CD4 T cell help is critical for both the generation and maintenance of germinal centers, and T follicular helper (TFH) cells are the CD4 T cell subset required for this process. SAP (SH2D1A) expression in CD4 T cells is essential for germinal center development. However, SAP-deficient mice have only a moderate defect in TFH differentiation as defined by common TFH surface markers. CXCR5+ TFH cells are found within the germinal center as well as along the boundary regions of T/B cell zones. Here we show that germinal center associated T cells (GC TFH) can be identified by their co-expression of CXCR5 and the GL7 epitope, allowing for phenotypic and functional analysis of TFH and GC TFH populations. Here we show GC TFH are a functionally discrete subset of further polarized TFH cells, with enhanced B cell help capacity and a specialized ability to produce IL-4 in a TH2-independent manner. Strikingly, SAP-deficient mice have an absence of the GC TFH subset and SAP- TFH are defective in IL-4 and IL-21 production. We further demonstrate that SLAM (Slamf1, CD150), a surface receptor that utilizes SAP signaling, is specifically required for IL-4 production by GC TFH. GC TFH cells require IL-4 and IL-21 production for optimal help to B cells. These data illustrate complexities of SAP-dependent SLAM family receptor signaling, revealing a prominent role for SLAM receptor ligation in IL-4 production by germinal center CD4 T cells but not in TFH and GC TFH differentiation."}
{"STANDARD_NAME":"GSE21380_NON_TFH_VS_GERMINAL_CENTER_TFH_CD4_TCELL_DN","SYSTEMATIC_NAME":"M7505","ORGANISM":"Mus musculus","PMID":"20525889","AUTHORS":"Yusuf I,Kageyama R,Monticelli L,Johnston RJ,Ditoro D,Hansen K,Barnett B,Crotty S","GEOID":"GSE21380","EXACT_SOURCE":"GSE21380_2731_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells: non-Tfh versus Tfh (T follicular helper) from germinal center.","DESCRIPTION_FULL":"CD4 T cell help is critical for both the generation and maintenance of germinal centers, and T follicular helper (TFH) cells are the CD4 T cell subset required for this process. SAP (SH2D1A) expression in CD4 T cells is essential for germinal center development. However, SAP-deficient mice have only a moderate defect in TFH differentiation as defined by common TFH surface markers. CXCR5+ TFH cells are found within the germinal center as well as along the boundary regions of T/B cell zones. Here we show that germinal center associated T cells (GC TFH) can be identified by their co-expression of CXCR5 and the GL7 epitope, allowing for phenotypic and functional analysis of TFH and GC TFH populations. Here we show GC TFH are a functionally discrete subset of further polarized TFH cells, with enhanced B cell help capacity and a specialized ability to produce IL-4 in a TH2-independent manner. Strikingly, SAP-deficient mice have an absence of the GC TFH subset and SAP- TFH are defective in IL-4 and IL-21 production. We further demonstrate that SLAM (Slamf1, CD150), a surface receptor that utilizes SAP signaling, is specifically required for IL-4 production by GC TFH. GC TFH cells require IL-4 and IL-21 production for optimal help to B cells. These data illustrate complexities of SAP-dependent SLAM family receptor signaling, revealing a prominent role for SLAM receptor ligation in IL-4 production by germinal center CD4 T cells but not in TFH and GC TFH differentiation."}
{"STANDARD_NAME":"GSE21380_TFH_VS_GERMINAL_CENTER_TFH_CD4_TCELL_UP","SYSTEMATIC_NAME":"M7506","ORGANISM":"Mus musculus","PMID":"20525889","AUTHORS":"Yusuf I,Kageyama R,Monticelli L,Johnston RJ,Ditoro D,Hansen K,Barnett B,Crotty S","GEOID":"GSE21380","EXACT_SOURCE":"GSE21380_2732_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] Tfh (T follicular helper) cells: Tfh versus Tfh from germinal center.","DESCRIPTION_FULL":"CD4 T cell help is critical for both the generation and maintenance of germinal centers, and T follicular helper (TFH) cells are the CD4 T cell subset required for this process. SAP (SH2D1A) expression in CD4 T cells is essential for germinal center development. However, SAP-deficient mice have only a moderate defect in TFH differentiation as defined by common TFH surface markers. CXCR5+ TFH cells are found within the germinal center as well as along the boundary regions of T/B cell zones. Here we show that germinal center associated T cells (GC TFH) can be identified by their co-expression of CXCR5 and the GL7 epitope, allowing for phenotypic and functional analysis of TFH and GC TFH populations. Here we show GC TFH are a functionally discrete subset of further polarized TFH cells, with enhanced B cell help capacity and a specialized ability to produce IL-4 in a TH2-independent manner. Strikingly, SAP-deficient mice have an absence of the GC TFH subset and SAP- TFH are defective in IL-4 and IL-21 production. We further demonstrate that SLAM (Slamf1, CD150), a surface receptor that utilizes SAP signaling, is specifically required for IL-4 production by GC TFH. GC TFH cells require IL-4 and IL-21 production for optimal help to B cells. These data illustrate complexities of SAP-dependent SLAM family receptor signaling, revealing a prominent role for SLAM receptor ligation in IL-4 production by germinal center CD4 T cells but not in TFH and GC TFH differentiation."}
{"STANDARD_NAME":"GSE21379_TFH_VS_NON_TFH_CD4_TCELL_DN","SYSTEMATIC_NAME":"M7508","ORGANISM":"Mus musculus","PMID":"20525889","AUTHORS":"Yusuf I,Kageyama R,Monticelli L,Johnston RJ,Ditoro D,Hansen K,Barnett B,Crotty S","GEOID":"GSE21379","EXACT_SOURCE":"GSE21379_3023_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] follicular helper T cells (Tfh) versus non-Tfh.","DESCRIPTION_FULL":"CD4 T cell help is critical for both the generation and maintenance of germinal centers, and T follicular helper (TFH) cells are the CD4 T cell subset required for this process. SAP (SH2D1A) expression in CD4 T cells is essential for germinal center development. However, SAP-deficient mice have only a moderate defect in TFH differentiation as defined by common TFH surface markers. CXCR5+ TFH cells are found within the germinal center as well as along the boundary regions of T/B cell zones. Here we show that germinal center associated T cells (GC TFH) can be identified by their co-expression of CXCR5 and the GL7 epitope, allowing for phenotypic and functional analysis of TFH and GC TFH populations. Here we show GC TFH are a functionally discrete subset of further polarized TFH cells, with enhanced B cell help capacity and a specialized ability to produce IL-4 in a TH2-independent manner. Strikingly, SAP-deficient mice have an absence of the GC TFH subset and SAP- TFH are defective in IL-4 and IL-21 production. We further demonstrate that SLAM (Slamf1, CD150), a surface receptor that utilizes SAP signaling, is specifically required for IL-4 production by GC TFH. GC TFH cells require IL-4 and IL-21 production for optimal help to B cells. These data illustrate complexities of SAP-dependent SLAM family receptor signaling, revealing a prominent role for SLAM receptor ligation in IL-4 production by germinal center CD4 T cells but not in TFH and GC TFH differentiation."}
{"STANDARD_NAME":"GSE21380_TFH_VS_GERMINAL_CENTER_TFH_CD4_TCELL_DN","SYSTEMATIC_NAME":"M7509","ORGANISM":"Mus musculus","PMID":"20525889","AUTHORS":"Yusuf I,Kageyama R,Monticelli L,Johnston RJ,Ditoro D,Hansen K,Barnett B,Crotty S","GEOID":"GSE21380","EXACT_SOURCE":"GSE21380_2732_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] Tfh (T follicular helper) cells: Tfh versus Tfh from germinal center.","DESCRIPTION_FULL":"CD4 T cell help is critical for both the generation and maintenance of germinal centers, and T follicular helper (TFH) cells are the CD4 T cell subset required for this process. SAP (SH2D1A) expression in CD4 T cells is essential for germinal center development. However, SAP-deficient mice have only a moderate defect in TFH differentiation as defined by common TFH surface markers. CXCR5+ TFH cells are found within the germinal center as well as along the boundary regions of T/B cell zones. Here we show that germinal center associated T cells (GC TFH) can be identified by their co-expression of CXCR5 and the GL7 epitope, allowing for phenotypic and functional analysis of TFH and GC TFH populations. Here we show GC TFH are a functionally discrete subset of further polarized TFH cells, with enhanced B cell help capacity and a specialized ability to produce IL-4 in a TH2-independent manner. Strikingly, SAP-deficient mice have an absence of the GC TFH subset and SAP- TFH are defective in IL-4 and IL-21 production. We further demonstrate that SLAM (Slamf1, CD150), a surface receptor that utilizes SAP signaling, is specifically required for IL-4 production by GC TFH. GC TFH cells require IL-4 and IL-21 production for optimal help to B cells. These data illustrate complexities of SAP-dependent SLAM family receptor signaling, revealing a prominent role for SLAM receptor ligation in IL-4 production by germinal center CD4 T cells but not in TFH and GC TFH differentiation."}
{"STANDARD_NAME":"GSE21379_TFH_VS_NON_TFH_SAP_KO_CD4_TCELL_DN","SYSTEMATIC_NAME":"M7510","ORGANISM":"Mus musculus","PMID":"20525889","AUTHORS":"Yusuf I,Kageyama R,Monticelli L,Johnston RJ,Ditoro D,Hansen K,Barnett B,Crotty S","GEOID":"GSE21379","EXACT_SOURCE":"GSE21379_3024_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] follicular helper T cells (Tfh) with SH2D1A [GeneID=4068] knockout versus non-Tfh cells with SH2D1A [GeneID=4068] knockout.","DESCRIPTION_FULL":"CD4 T cell help is critical for both the generation and maintenance of germinal centers, and T follicular helper (TFH) cells are the CD4 T cell subset required for this process. SAP (SH2D1A) expression in CD4 T cells is essential for germinal center development. However, SAP-deficient mice have only a moderate defect in TFH differentiation as defined by common TFH surface markers. CXCR5+ TFH cells are found within the germinal center as well as along the boundary regions of T/B cell zones. Here we show that germinal center associated T cells (GC TFH) can be identified by their co-expression of CXCR5 and the GL7 epitope, allowing for phenotypic and functional analysis of TFH and GC TFH populations. Here we show GC TFH are a functionally discrete subset of further polarized TFH cells, with enhanced B cell help capacity and a specialized ability to produce IL-4 in a TH2-independent manner. Strikingly, SAP-deficient mice have an absence of the GC TFH subset and SAP- TFH are defective in IL-4 and IL-21 production. We further demonstrate that SLAM (Slamf1, CD150), a surface receptor that utilizes SAP signaling, is specifically required for IL-4 production by GC TFH. GC TFH cells require IL-4 and IL-21 production for optimal help to B cells. These data illustrate complexities of SAP-dependent SLAM family receptor signaling, revealing a prominent role for SLAM receptor ligation in IL-4 production by germinal center CD4 T cells but not in TFH and GC TFH differentiation."}
{"STANDARD_NAME":"GSE21379_WT_VS_SAP_KO_CD4_TCELL_DN","SYSTEMATIC_NAME":"M7511","ORGANISM":"Mus musculus","PMID":"20525889","AUTHORS":"Yusuf I,Kageyama R,Monticelli L,Johnston RJ,Ditoro D,Hansen K,Barnett B,Crotty S","GEOID":"GSE21379","EXACT_SOURCE":"GSE21379_3026_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] non-follicular helper T cells: wildtype versus SH2D1A [GeneID=4068] knockout.","DESCRIPTION_FULL":"CD4 T cell help is critical for both the generation and maintenance of germinal centers, and T follicular helper (TFH) cells are the CD4 T cell subset required for this process. SAP (SH2D1A) expression in CD4 T cells is essential for germinal center development. However, SAP-deficient mice have only a moderate defect in TFH differentiation as defined by common TFH surface markers. CXCR5+ TFH cells are found within the germinal center as well as along the boundary regions of T/B cell zones. Here we show that germinal center associated T cells (GC TFH) can be identified by their co-expression of CXCR5 and the GL7 epitope, allowing for phenotypic and functional analysis of TFH and GC TFH populations. Here we show GC TFH are a functionally discrete subset of further polarized TFH cells, with enhanced B cell help capacity and a specialized ability to produce IL-4 in a TH2-independent manner. Strikingly, SAP-deficient mice have an absence of the GC TFH subset and SAP- TFH are defective in IL-4 and IL-21 production. We further demonstrate that SLAM (Slamf1, CD150), a surface receptor that utilizes SAP signaling, is specifically required for IL-4 production by GC TFH. GC TFH cells require IL-4 and IL-21 production for optimal help to B cells. These data illustrate complexities of SAP-dependent SLAM family receptor signaling, revealing a prominent role for SLAM receptor ligation in IL-4 production by germinal center CD4 T cells but not in TFH and GC TFH differentiation."}
{"STANDARD_NAME":"GSE21380_NON_TFH_VS_TFH_CD4_TCELL_UP","SYSTEMATIC_NAME":"M7515","ORGANISM":"Mus musculus","PMID":"20525889","AUTHORS":"Yusuf I,Kageyama R,Monticelli L,Johnston RJ,Ditoro D,Hansen K,Barnett B,Crotty S","GEOID":"GSE21380","EXACT_SOURCE":"GSE21380_2730_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells: non-Tfh versus Tfh (T follicular helper).","DESCRIPTION_FULL":"CD4 T cell help is critical for both the generation and maintenance of germinal centers, and T follicular helper (TFH) cells are the CD4 T cell subset required for this process. SAP (SH2D1A) expression in CD4 T cells is essential for germinal center development. However, SAP-deficient mice have only a moderate defect in TFH differentiation as defined by common TFH surface markers. CXCR5+ TFH cells are found within the germinal center as well as along the boundary regions of T/B cell zones. Here we show that germinal center associated T cells (GC TFH) can be identified by their co-expression of CXCR5 and the GL7 epitope, allowing for phenotypic and functional analysis of TFH and GC TFH populations. Here we show GC TFH are a functionally discrete subset of further polarized TFH cells, with enhanced B cell help capacity and a specialized ability to produce IL-4 in a TH2-independent manner. Strikingly, SAP-deficient mice have an absence of the GC TFH subset and SAP- TFH are defective in IL-4 and IL-21 production. We further demonstrate that SLAM (Slamf1, CD150), a surface receptor that utilizes SAP signaling, is specifically required for IL-4 production by GC TFH. GC TFH cells require IL-4 and IL-21 production for optimal help to B cells. These data illustrate complexities of SAP-dependent SLAM family receptor signaling, revealing a prominent role for SLAM receptor ligation in IL-4 production by germinal center CD4 T cells but not in TFH and GC TFH differentiation."}
{"STANDARD_NAME":"GSE21379_TFH_VS_NON_TFH_SAP_KO_CD4_TCELL_UP","SYSTEMATIC_NAME":"M7516","ORGANISM":"Mus musculus","PMID":"20525889","AUTHORS":"Yusuf I,Kageyama R,Monticelli L,Johnston RJ,Ditoro D,Hansen K,Barnett B,Crotty S","GEOID":"GSE21379","EXACT_SOURCE":"GSE21379_3024_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] follicular helper T cells (Tfh) with SH2D1A [GeneID=4068] knockout versus non-Tfh cells with SH2D1A [GeneID=4068] knockout.","DESCRIPTION_FULL":"CD4 T cell help is critical for both the generation and maintenance of germinal centers, and T follicular helper (TFH) cells are the CD4 T cell subset required for this process. SAP (SH2D1A) expression in CD4 T cells is essential for germinal center development. However, SAP-deficient mice have only a moderate defect in TFH differentiation as defined by common TFH surface markers. CXCR5+ TFH cells are found within the germinal center as well as along the boundary regions of T/B cell zones. Here we show that germinal center associated T cells (GC TFH) can be identified by their co-expression of CXCR5 and the GL7 epitope, allowing for phenotypic and functional analysis of TFH and GC TFH populations. Here we show GC TFH are a functionally discrete subset of further polarized TFH cells, with enhanced B cell help capacity and a specialized ability to produce IL-4 in a TH2-independent manner. Strikingly, SAP-deficient mice have an absence of the GC TFH subset and SAP- TFH are defective in IL-4 and IL-21 production. We further demonstrate that SLAM (Slamf1, CD150), a surface receptor that utilizes SAP signaling, is specifically required for IL-4 production by GC TFH. GC TFH cells require IL-4 and IL-21 production for optimal help to B cells. These data illustrate complexities of SAP-dependent SLAM family receptor signaling, revealing a prominent role for SLAM receptor ligation in IL-4 production by germinal center CD4 T cells but not in TFH and GC TFH differentiation."}
{"STANDARD_NAME":"GSE21546_WT_VS_SAP1A_KO_AND_ELK1_KO_DP_THYMOCYTES_DN","SYSTEMATIC_NAME":"M7518","ORGANISM":"Mus musculus","PMID":"20554967","AUTHORS":"Costello P,Nicolas R,Willoughby J,Wasylyk B,Nordheim A,Treisman R","GEOID":"GSE21546","EXACT_SOURCE":"GSE21546_3639_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in untreated double positive thymocytes: wildtype versus ELK1 and ELK4 [GeneID=2002;2005] knockout.","DESCRIPTION_FULL":"Removal of the transcription factor SAP1a member of the Ternary Complex Factor (TCF) group of transcription factors which in conjunction with Serum Response Factor (SRF) has been shown to have a profound effect on positive selection in the thymus. When another TCF Elk1 is knocked out in mice there is no effect on positive selection unless it is on a Sap1a KO background where the phenotype is very severe. We have stimulated isolated double positive T cells (DPs) with anti-CD3 to mimic positive selection and compared basal and stimulated transcription across the four genotypes to discover the downstream targets of Sap1a involved in positive selection."}
{"STANDARD_NAME":"GSE21546_WT_VS_SAP1A_KO_ANTI_CD3_STIM_DP_THYMOCYTES_UP","SYSTEMATIC_NAME":"M7519","ORGANISM":"Mus musculus","PMID":"20554967","AUTHORS":"Costello P,Nicolas R,Willoughby J,Wasylyk B,Nordheim A,Treisman R","GEOID":"GSE21546","EXACT_SOURCE":"GSE21546_3640_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in double positive thymocytes stimulated by anti-CD3: wildtype versus ELK4 [GeneID=2005] knockout.","DESCRIPTION_FULL":"Removal of the transcription factor SAP1a member of the Ternary Complex Factor (TCF) group of transcription factors which in conjunction with Serum Response Factor (SRF) has been shown to have a profound effect on positive selection in the thymus. When another TCF Elk1 is knocked out in mice there is no effect on positive selection unless it is on a Sap1a KO background where the phenotype is very severe. We have stimulated isolated double positive T cells (DPs) with anti-CD3 to mimic positive selection and compared basal and stimulated transcription across the four genotypes to discover the downstream targets of Sap1a involved in positive selection."}
{"STANDARD_NAME":"GSE21546_WT_VS_ELK1_KO_DP_THYMOCYTES_UP","SYSTEMATIC_NAME":"M7520","ORGANISM":"Mus musculus","PMID":"20554967","AUTHORS":"Costello P,Nicolas R,Willoughby J,Wasylyk B,Nordheim A,Treisman R","GEOID":"GSE21546","EXACT_SOURCE":"GSE21546_3638_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in untreated double positive thymocytes: wildtype versus ELK1 [GeneID=2002] knockout.","DESCRIPTION_FULL":"Removal of the transcription factor SAP1a member of the Ternary Complex Factor (TCF) group of transcription factors which in conjunction with Serum Response Factor (SRF) has been shown to have a profound effect on positive selection in the thymus. When another TCF Elk1 is knocked out in mice there is no effect on positive selection unless it is on a Sap1a KO background where the phenotype is very severe. We have stimulated isolated double positive T cells (DPs) with anti-CD3 to mimic positive selection and compared basal and stimulated transcription across the four genotypes to discover the downstream targets of Sap1a involved in positive selection."}
{"STANDARD_NAME":"GSE21546_WT_VS_SAP1A_KO_AND_ELK1_KO_ANTI_CD3_STIM_DP_THYMOCYTES_DN","SYSTEMATIC_NAME":"M7522","ORGANISM":"Mus musculus","PMID":"20554967","AUTHORS":"Costello P,Nicolas R,Willoughby J,Wasylyk B,Nordheim A,Treisman R","GEOID":"GSE21546","EXACT_SOURCE":"GSE21546_3642_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in double positive thymocytes stimulated by anti-CD3: wildtype versus ELK1 and ELK4 [GeneID=2002;2005] knockout.","DESCRIPTION_FULL":"Removal of the transcription factor SAP1a member of the Ternary Complex Factor (TCF) group of transcription factors which in conjunction with Serum Response Factor (SRF) has been shown to have a profound effect on positive selection in the thymus. When another TCF Elk1 is knocked out in mice there is no effect on positive selection unless it is on a Sap1a KO background where the phenotype is very severe. We have stimulated isolated double positive T cells (DPs) with anti-CD3 to mimic positive selection and compared basal and stimulated transcription across the four genotypes to discover the downstream targets of Sap1a involved in positive selection."}
{"STANDARD_NAME":"GSE21546_SAP1A_KO_VS_SAP1A_KO_AND_ELK1_KO_DP_THYMOCYTES_UP","SYSTEMATIC_NAME":"M7523","ORGANISM":"Mus musculus","PMID":"20554967","AUTHORS":"Costello P,Nicolas R,Willoughby J,Wasylyk B,Nordheim A,Treisman R","GEOID":"GSE21546","EXACT_SOURCE":"GSE21546_3643_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in untreated double positive thymocytes: ELK4 [GeneID=2005] knockout versus ELK1 and ELK4 [GeneID=2002;2005] knockout.","DESCRIPTION_FULL":"Removal of the transcription factor SAP1a member of the Ternary Complex Factor (TCF) group of transcription factors which in conjunction with Serum Response Factor (SRF) has been shown to have a profound effect on positive selection in the thymus. When another TCF Elk1 is knocked out in mice there is no effect on positive selection unless it is on a Sap1a KO background where the phenotype is very severe. We have stimulated isolated double positive T cells (DPs) with anti-CD3 to mimic positive selection and compared basal and stimulated transcription across the four genotypes to discover the downstream targets of Sap1a involved in positive selection."}
{"STANDARD_NAME":"GSE21546_SAP1A_KO_VS_SAP1A_KO_AND_ELK1_KO_DP_THYMOCYTES_DN","SYSTEMATIC_NAME":"M7524","ORGANISM":"Mus musculus","PMID":"20554967","AUTHORS":"Costello P,Nicolas R,Willoughby J,Wasylyk B,Nordheim A,Treisman R","GEOID":"GSE21546","EXACT_SOURCE":"GSE21546_3643_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in untreated double positive thymocytes: ELK4 [GeneID=2005] knockout versus ELK1 and ELK4 [GeneID=2002;2005] knockout.","DESCRIPTION_FULL":"Removal of the transcription factor SAP1a member of the Ternary Complex Factor (TCF) group of transcription factors which in conjunction with Serum Response Factor (SRF) has been shown to have a profound effect on positive selection in the thymus. When another TCF Elk1 is knocked out in mice there is no effect on positive selection unless it is on a Sap1a KO background where the phenotype is very severe. We have stimulated isolated double positive T cells (DPs) with anti-CD3 to mimic positive selection and compared basal and stimulated transcription across the four genotypes to discover the downstream targets of Sap1a involved in positive selection."}
{"STANDARD_NAME":"GSE21546_SAP1A_KO_VS_SAP1A_KO_AND_ELK1_KO_ANTI_CD3_STIM_DP_THYMOCYTES_UP","SYSTEMATIC_NAME":"M7525","ORGANISM":"Mus musculus","PMID":"20554967","AUTHORS":"Costello P,Nicolas R,Willoughby J,Wasylyk B,Nordheim A,Treisman R","GEOID":"GSE21546","EXACT_SOURCE":"GSE21546_3644_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in double positive thymocytes stimulated by anti-CD3: ELK4 [GeneID=2005] knockout versus ELK1 and ELK4 [GeneID=2002;2005] knockout.","DESCRIPTION_FULL":"Removal of the transcription factor SAP1a member of the Ternary Complex Factor (TCF) group of transcription factors which in conjunction with Serum Response Factor (SRF) has been shown to have a profound effect on positive selection in the thymus. When another TCF Elk1 is knocked out in mice there is no effect on positive selection unless it is on a Sap1a KO background where the phenotype is very severe. We have stimulated isolated double positive T cells (DPs) with anti-CD3 to mimic positive selection and compared basal and stimulated transcription across the four genotypes to discover the downstream targets of Sap1a involved in positive selection."}
{"STANDARD_NAME":"GSE21546_SAP1A_KO_VS_SAP1A_KO_AND_ELK1_KO_ANTI_CD3_STIM_DP_THYMOCYTES_DN","SYSTEMATIC_NAME":"M7526","ORGANISM":"Mus musculus","PMID":"20554967","AUTHORS":"Costello P,Nicolas R,Willoughby J,Wasylyk B,Nordheim A,Treisman R","GEOID":"GSE21546","EXACT_SOURCE":"GSE21546_3644_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in double positive thymocytes stimulated by anti-CD3: ELK4 [GeneID=2005] knockout versus ELK1 and ELK4 [GeneID=2002;2005] knockout.","DESCRIPTION_FULL":"Removal of the transcription factor SAP1a member of the Ternary Complex Factor (TCF) group of transcription factors which in conjunction with Serum Response Factor (SRF) has been shown to have a profound effect on positive selection in the thymus. When another TCF Elk1 is knocked out in mice there is no effect on positive selection unless it is on a Sap1a KO background where the phenotype is very severe. We have stimulated isolated double positive T cells (DPs) with anti-CD3 to mimic positive selection and compared basal and stimulated transcription across the four genotypes to discover the downstream targets of Sap1a involved in positive selection."}
{"STANDARD_NAME":"GSE21546_WT_VS_ELK1_KO_DP_THYMOCYTES_DN","SYSTEMATIC_NAME":"M7527","ORGANISM":"Mus musculus","PMID":"20554967","AUTHORS":"Costello P,Nicolas R,Willoughby J,Wasylyk B,Nordheim A,Treisman R","GEOID":"GSE21546","EXACT_SOURCE":"GSE21546_3638_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in untreated double positive thymocytes: wildtype versus ELK1 [GeneID=2002] knockout.","DESCRIPTION_FULL":"Removal of the transcription factor SAP1a member of the Ternary Complex Factor (TCF) group of transcription factors which in conjunction with Serum Response Factor (SRF) has been shown to have a profound effect on positive selection in the thymus. When another TCF Elk1 is knocked out in mice there is no effect on positive selection unless it is on a Sap1a KO background where the phenotype is very severe. We have stimulated isolated double positive T cells (DPs) with anti-CD3 to mimic positive selection and compared basal and stimulated transcription across the four genotypes to discover the downstream targets of Sap1a involved in positive selection."}
{"STANDARD_NAME":"GSE21546_WT_VS_SAP1A_KO_AND_ELK1_KO_DP_THYMOCYTES_UP","SYSTEMATIC_NAME":"M7529","ORGANISM":"Mus musculus","PMID":"20554967","AUTHORS":"Costello P,Nicolas R,Willoughby J,Wasylyk B,Nordheim A,Treisman R","GEOID":"GSE21546","EXACT_SOURCE":"GSE21546_3639_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in untreated double positive thymocytes: wildtype versus ELK1 and ELK4 [GeneID=2002;2005] knockout.","DESCRIPTION_FULL":"Removal of the transcription factor SAP1a member of the Ternary Complex Factor (TCF) group of transcription factors which in conjunction with Serum Response Factor (SRF) has been shown to have a profound effect on positive selection in the thymus. When another TCF Elk1 is knocked out in mice there is no effect on positive selection unless it is on a Sap1a KO background where the phenotype is very severe. We have stimulated isolated double positive T cells (DPs) with anti-CD3 to mimic positive selection and compared basal and stimulated transcription across the four genotypes to discover the downstream targets of Sap1a involved in positive selection."}
{"STANDARD_NAME":"GSE21546_ELK1_KO_VS_SAP1A_KO_AND_ELK1_KO_ANTI_CD3_STIM_DP_THYMOCYTES_UP","SYSTEMATIC_NAME":"M7530","ORGANISM":"Mus musculus","PMID":"20554967","AUTHORS":"Costello P,Nicolas R,Willoughby J,Wasylyk B,Nordheim A,Treisman R","GEOID":"GSE21546","EXACT_SOURCE":"GSE21546_3646_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in stimulated by anti-CD3 double positive thymocytes: ELK1 [GeneID=2002] knockout versus ELK1 and ELK4 [GeneID=2002;2005] knockout.","DESCRIPTION_FULL":"Removal of the transcription factor SAP1a member of the Ternary Complex Factor (TCF) group of transcription factors which in conjunction with Serum Response Factor (SRF) has been shown to have a profound effect on positive selection in the thymus. When another TCF Elk1 is knocked out in mice there is no effect on positive selection unless it is on a Sap1a KO background where the phenotype is very severe. We have stimulated isolated double positive T cells (DPs) with anti-CD3 to mimic positive selection and compared basal and stimulated transcription across the four genotypes to discover the downstream targets of Sap1a involved in positive selection."}
{"STANDARD_NAME":"GSE21546_ELK1_KO_VS_SAP1A_KO_AND_ELK1_KO_ANTI_CD3_STIM_DP_THYMOCYTES_DN","SYSTEMATIC_NAME":"M7531","ORGANISM":"Mus musculus","PMID":"20554967","AUTHORS":"Costello P,Nicolas R,Willoughby J,Wasylyk B,Nordheim A,Treisman R","GEOID":"GSE21546","EXACT_SOURCE":"GSE21546_3646_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in stimulated by anti-CD3 double positive thymocytes: ELK1 [GeneID=2002] knockout versus ELK1 and ELK4 [GeneID=2002;2005] knockout.","DESCRIPTION_FULL":"Removal of the transcription factor SAP1a member of the Ternary Complex Factor (TCF) group of transcription factors which in conjunction with Serum Response Factor (SRF) has been shown to have a profound effect on positive selection in the thymus. When another TCF Elk1 is knocked out in mice there is no effect on positive selection unless it is on a Sap1a KO background where the phenotype is very severe. We have stimulated isolated double positive T cells (DPs) with anti-CD3 to mimic positive selection and compared basal and stimulated transcription across the four genotypes to discover the downstream targets of Sap1a involved in positive selection."}
{"STANDARD_NAME":"GSE21546_WT_VS_SAP1A_KO_ANTI_CD3_STIM_DP_THYMOCYTES_DN","SYSTEMATIC_NAME":"M7532","ORGANISM":"Mus musculus","PMID":"20554967","AUTHORS":"Costello P,Nicolas R,Willoughby J,Wasylyk B,Nordheim A,Treisman R","GEOID":"GSE21546","EXACT_SOURCE":"GSE21546_3640_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in double positive thymocytes stimulated by anti-CD3: wildtype versus ELK4 [GeneID=2005] knockout.","DESCRIPTION_FULL":"Removal of the transcription factor SAP1a member of the Ternary Complex Factor (TCF) group of transcription factors which in conjunction with Serum Response Factor (SRF) has been shown to have a profound effect on positive selection in the thymus. When another TCF Elk1 is knocked out in mice there is no effect on positive selection unless it is on a Sap1a KO background where the phenotype is very severe. We have stimulated isolated double positive T cells (DPs) with anti-CD3 to mimic positive selection and compared basal and stimulated transcription across the four genotypes to discover the downstream targets of Sap1a involved in positive selection."}
{"STANDARD_NAME":"GSE21546_WT_VS_ELK1_KO_ANTI_CD3_STIM_DP_THYMOCYTES_UP","SYSTEMATIC_NAME":"M7535","ORGANISM":"Mus musculus","PMID":"20554967","AUTHORS":"Costello P,Nicolas R,Willoughby J,Wasylyk B,Nordheim A,Treisman R","GEOID":"GSE21546","EXACT_SOURCE":"GSE21546_3641_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in double positive thymocytes stimulated by anti-CD3: wildtype versus ELK1 [GeneID=2002] knockout.","DESCRIPTION_FULL":"Removal of the transcription factor SAP1a member of the Ternary Complex Factor (TCF) group of transcription factors which in conjunction with Serum Response Factor (SRF) has been shown to have a profound effect on positive selection in the thymus. When another TCF Elk1 is knocked out in mice there is no effect on positive selection unless it is on a Sap1a KO background where the phenotype is very severe. We have stimulated isolated double positive T cells (DPs) with anti-CD3 to mimic positive selection and compared basal and stimulated transcription across the four genotypes to discover the downstream targets of Sap1a involved in positive selection."}
{"STANDARD_NAME":"GSE21546_UNSTIM_VS_ANTI_CD3_STIM_SAP1A_KO_DP_THYMOCYTES_DN","SYSTEMATIC_NAME":"M7536","ORGANISM":"Mus musculus","PMID":"20554967","AUTHORS":"Costello P,Nicolas R,Willoughby J,Wasylyk B,Nordheim A,Treisman R","GEOID":"GSE21546","EXACT_SOURCE":"GSE21546_3634_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in double positive thymocytes with ELK4 [GeneID=2005] knockout: untreated versus stimulated by anti-CD3.","DESCRIPTION_FULL":"Removal of the transcription factor SAP1a member of the Ternary Complex Factor (TCF) group of transcription factors which in conjunction with Serum Response Factor (SRF) has been shown to have a profound effect on positive selection in the thymus. When another TCF Elk1 is knocked out in mice there is no effect on positive selection unless it is on a Sap1a KO background where the phenotype is very severe. We have stimulated isolated double positive T cells (DPs) with anti-CD3 to mimic positive selection and compared basal and stimulated transcription across the four genotypes to discover the downstream targets of Sap1a involved in positive selection."}
{"STANDARD_NAME":"GSE21546_UNSTIM_VS_ANTI_CD3_STIM_ELK1_KO_DP_THYMOCYTES_UP","SYSTEMATIC_NAME":"M7537","ORGANISM":"Mus musculus","PMID":"20554967","AUTHORS":"Costello P,Nicolas R,Willoughby J,Wasylyk B,Nordheim A,Treisman R","GEOID":"GSE21546","EXACT_SOURCE":"GSE21546_3635_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in double positive thymocytes with ELK1 [GeneID=2002] knockout: untreated versus stimulated by anti-CD3.","DESCRIPTION_FULL":"Removal of the transcription factor SAP1a member of the Ternary Complex Factor (TCF) group of transcription factors which in conjunction with Serum Response Factor (SRF) has been shown to have a profound effect on positive selection in the thymus. When another TCF Elk1 is knocked out in mice there is no effect on positive selection unless it is on a Sap1a KO background where the phenotype is very severe. We have stimulated isolated double positive T cells (DPs) with anti-CD3 to mimic positive selection and compared basal and stimulated transcription across the four genotypes to discover the downstream targets of Sap1a involved in positive selection."}
{"STANDARD_NAME":"GSE21546_UNSTIM_VS_ANTI_CD3_STIM_ELK1_KO_DP_THYMOCYTES_DN","SYSTEMATIC_NAME":"M7538","ORGANISM":"Mus musculus","PMID":"20554967","AUTHORS":"Costello P,Nicolas R,Willoughby J,Wasylyk B,Nordheim A,Treisman R","GEOID":"GSE21546","EXACT_SOURCE":"GSE21546_3635_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in double positive thymocytes with ELK1 [GeneID=2002] knockout: untreated versus stimulated by anti-CD3.","DESCRIPTION_FULL":"Removal of the transcription factor SAP1a member of the Ternary Complex Factor (TCF) group of transcription factors which in conjunction with Serum Response Factor (SRF) has been shown to have a profound effect on positive selection in the thymus. When another TCF Elk1 is knocked out in mice there is no effect on positive selection unless it is on a Sap1a KO background where the phenotype is very severe. We have stimulated isolated double positive T cells (DPs) with anti-CD3 to mimic positive selection and compared basal and stimulated transcription across the four genotypes to discover the downstream targets of Sap1a involved in positive selection."}
{"STANDARD_NAME":"GSE21546_UNSTIM_VS_ANTI_CD3_STIM_SAP1A_KO_AND_ELK1_KO_DP_THYMOCYTES_UP","SYSTEMATIC_NAME":"M7539","ORGANISM":"Mus musculus","PMID":"20554967","AUTHORS":"Costello P,Nicolas R,Willoughby J,Wasylyk B,Nordheim A,Treisman R","GEOID":"GSE21546","EXACT_SOURCE":"GSE21546_3636_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in double positive thymocytes with ELK1 and ELK4 [GeneID=2002;2005] knockout: untreated versus stimulated by anti-CD3.","DESCRIPTION_FULL":"Removal of the transcription factor SAP1a member of the Ternary Complex Factor (TCF) group of transcription factors which in conjunction with Serum Response Factor (SRF) has been shown to have a profound effect on positive selection in the thymus. When another TCF Elk1 is knocked out in mice there is no effect on positive selection unless it is on a Sap1a KO background where the phenotype is very severe. We have stimulated isolated double positive T cells (DPs) with anti-CD3 to mimic positive selection and compared basal and stimulated transcription across the four genotypes to discover the downstream targets of Sap1a involved in positive selection."}
{"STANDARD_NAME":"GSE21546_UNSTIM_VS_ANTI_CD3_STIM_SAP1A_KO_AND_ELK1_KO_DP_THYMOCYTES_DN","SYSTEMATIC_NAME":"M7541","ORGANISM":"Mus musculus","PMID":"20554967","AUTHORS":"Costello P,Nicolas R,Willoughby J,Wasylyk B,Nordheim A,Treisman R","GEOID":"GSE21546","EXACT_SOURCE":"GSE21546_3636_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in double positive thymocytes with ELK1 and ELK4 [GeneID=2002;2005] knockout: untreated versus stimulated by anti-CD3.","DESCRIPTION_FULL":"Removal of the transcription factor SAP1a member of the Ternary Complex Factor (TCF) group of transcription factors which in conjunction with Serum Response Factor (SRF) has been shown to have a profound effect on positive selection in the thymus. When another TCF Elk1 is knocked out in mice there is no effect on positive selection unless it is on a Sap1a KO background where the phenotype is very severe. We have stimulated isolated double positive T cells (DPs) with anti-CD3 to mimic positive selection and compared basal and stimulated transcription across the four genotypes to discover the downstream targets of Sap1a involved in positive selection."}
{"STANDARD_NAME":"GSE21546_WT_VS_SAP1A_KO_DP_THYMOCYTES_UP","SYSTEMATIC_NAME":"M7543","ORGANISM":"Mus musculus","PMID":"20554967","AUTHORS":"Costello P,Nicolas R,Willoughby J,Wasylyk B,Nordheim A,Treisman R","GEOID":"GSE21546","EXACT_SOURCE":"GSE21546_3637_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in untreated double positive thymocytes: wildtype versus ELK4 [GeneID=2005] knockout.","DESCRIPTION_FULL":"Removal of the transcription factor SAP1a member of the Ternary Complex Factor (TCF) group of transcription factors which in conjunction with Serum Response Factor (SRF) has been shown to have a profound effect on positive selection in the thymus. When another TCF Elk1 is knocked out in mice there is no effect on positive selection unless it is on a Sap1a KO background where the phenotype is very severe. We have stimulated isolated double positive T cells (DPs) with anti-CD3 to mimic positive selection and compared basal and stimulated transcription across the four genotypes to discover the downstream targets of Sap1a involved in positive selection."}
{"STANDARD_NAME":"GSE21546_WT_VS_SAP1A_KO_DP_THYMOCYTES_DN","SYSTEMATIC_NAME":"M7544","ORGANISM":"Mus musculus","PMID":"20554967","AUTHORS":"Costello P,Nicolas R,Willoughby J,Wasylyk B,Nordheim A,Treisman R","GEOID":"GSE21546","EXACT_SOURCE":"GSE21546_3637_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in untreated double positive thymocytes: wildtype versus ELK4 [GeneID=2005] knockout.","DESCRIPTION_FULL":"Removal of the transcription factor SAP1a member of the Ternary Complex Factor (TCF) group of transcription factors which in conjunction with Serum Response Factor (SRF) has been shown to have a profound effect on positive selection in the thymus. When another TCF Elk1 is knocked out in mice there is no effect on positive selection unless it is on a Sap1a KO background where the phenotype is very severe. We have stimulated isolated double positive T cells (DPs) with anti-CD3 to mimic positive selection and compared basal and stimulated transcription across the four genotypes to discover the downstream targets of Sap1a involved in positive selection."}
{"STANDARD_NAME":"GSE21546_ELK1_KO_VS_SAP1A_KO_AND_ELK1_KO_DP_THYMOCYTES_UP","SYSTEMATIC_NAME":"M7545","ORGANISM":"Mus musculus","PMID":"20554967","AUTHORS":"Costello P,Nicolas R,Willoughby J,Wasylyk B,Nordheim A,Treisman R","GEOID":"GSE21546","EXACT_SOURCE":"GSE21546_3645_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in untreated double positive thymocytes: ELK1 [GeneID=2002] knockout versus ELK1 and ELK4 [GeneID=2002;2005] knockout.","DESCRIPTION_FULL":"Removal of the transcription factor SAP1a member of the Ternary Complex Factor (TCF) group of transcription factors which in conjunction with Serum Response Factor (SRF) has been shown to have a profound effect on positive selection in the thymus. When another TCF Elk1 is knocked out in mice there is no effect on positive selection unless it is on a Sap1a KO background where the phenotype is very severe. We have stimulated isolated double positive T cells (DPs) with anti-CD3 to mimic positive selection and compared basal and stimulated transcription across the four genotypes to discover the downstream targets of Sap1a involved in positive selection."}
{"STANDARD_NAME":"GSE21546_ELK1_KO_VS_SAP1A_KO_AND_ELK1_KO_DP_THYMOCYTES_DN","SYSTEMATIC_NAME":"M7546","ORGANISM":"Mus musculus","PMID":"20554967","AUTHORS":"Costello P,Nicolas R,Willoughby J,Wasylyk B,Nordheim A,Treisman R","GEOID":"GSE21546","EXACT_SOURCE":"GSE21546_3645_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in untreated double positive thymocytes: ELK1 [GeneID=2002] knockout versus ELK1 and ELK4 [GeneID=2002;2005] knockout.","DESCRIPTION_FULL":"Removal of the transcription factor SAP1a member of the Ternary Complex Factor (TCF) group of transcription factors which in conjunction with Serum Response Factor (SRF) has been shown to have a profound effect on positive selection in the thymus. When another TCF Elk1 is knocked out in mice there is no effect on positive selection unless it is on a Sap1a KO background where the phenotype is very severe. We have stimulated isolated double positive T cells (DPs) with anti-CD3 to mimic positive selection and compared basal and stimulated transcription across the four genotypes to discover the downstream targets of Sap1a involved in positive selection."}
{"STANDARD_NAME":"GSE21546_UNSTIM_VS_ANTI_CD3_STIM_DP_THYMOCYTES_UP","SYSTEMATIC_NAME":"M7548","ORGANISM":"Mus musculus","PMID":"20554967","AUTHORS":"Costello P,Nicolas R,Willoughby J,Wasylyk B,Nordheim A,Treisman R","GEOID":"GSE21546","EXACT_SOURCE":"GSE21546_3633_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in double positive thymocytes: untreated versus stimulated by anti-CD3.","DESCRIPTION_FULL":"Removal of the transcription factor SAP1a member of the Ternary Complex Factor (TCF) group of transcription factors which in conjunction with Serum Response Factor (SRF) has been shown to have a profound effect on positive selection in the thymus. When another TCF Elk1 is knocked out in mice there is no effect on positive selection unless it is on a Sap1a KO background where the phenotype is very severe. We have stimulated isolated double positive T cells (DPs) with anti-CD3 to mimic positive selection and compared basal and stimulated transcription across the four genotypes to discover the downstream targets of Sap1a involved in positive selection."}
{"STANDARD_NAME":"GSE21546_UNSTIM_VS_ANTI_CD3_STIM_DP_THYMOCYTES_DN","SYSTEMATIC_NAME":"M7549","ORGANISM":"Mus musculus","PMID":"20554967","AUTHORS":"Costello P,Nicolas R,Willoughby J,Wasylyk B,Nordheim A,Treisman R","GEOID":"GSE21546","EXACT_SOURCE":"GSE21546_3633_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in double positive thymocytes: untreated versus stimulated by anti-CD3.","DESCRIPTION_FULL":"Removal of the transcription factor SAP1a member of the Ternary Complex Factor (TCF) group of transcription factors which in conjunction with Serum Response Factor (SRF) has been shown to have a profound effect on positive selection in the thymus. When another TCF Elk1 is knocked out in mice there is no effect on positive selection unless it is on a Sap1a KO background where the phenotype is very severe. We have stimulated isolated double positive T cells (DPs) with anti-CD3 to mimic positive selection and compared basal and stimulated transcription across the four genotypes to discover the downstream targets of Sap1a involved in positive selection."}
{"STANDARD_NAME":"GSE21546_UNSTIM_VS_ANTI_CD3_STIM_SAP1A_KO_DP_THYMOCYTES_UP","SYSTEMATIC_NAME":"M7550","ORGANISM":"Mus musculus","PMID":"20554967","AUTHORS":"Costello P,Nicolas R,Willoughby J,Wasylyk B,Nordheim A,Treisman R","GEOID":"GSE21546","EXACT_SOURCE":"GSE21546_3634_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in double positive thymocytes with ELK4 [GeneID=2005] knockout: untreated versus stimulated by anti-CD3.","DESCRIPTION_FULL":"Removal of the transcription factor SAP1a member of the Ternary Complex Factor (TCF) group of transcription factors which in conjunction with Serum Response Factor (SRF) has been shown to have a profound effect on positive selection in the thymus. When another TCF Elk1 is knocked out in mice there is no effect on positive selection unless it is on a Sap1a KO background where the phenotype is very severe. We have stimulated isolated double positive T cells (DPs) with anti-CD3 to mimic positive selection and compared basal and stimulated transcription across the four genotypes to discover the downstream targets of Sap1a involved in positive selection."}
{"STANDARD_NAME":"GSE21546_WT_VS_ELK1_KO_ANTI_CD3_STIM_DP_THYMOCYTES_DN","SYSTEMATIC_NAME":"M7551","ORGANISM":"Mus musculus","PMID":"20554967","AUTHORS":"Costello P,Nicolas R,Willoughby J,Wasylyk B,Nordheim A,Treisman R","GEOID":"GSE21546","EXACT_SOURCE":"GSE21546_3641_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in double positive thymocytes stimulated by anti-CD3: wildtype versus ELK1 [GeneID=2002] knockout.","DESCRIPTION_FULL":"Removal of the transcription factor SAP1a member of the Ternary Complex Factor (TCF) group of transcription factors which in conjunction with Serum Response Factor (SRF) has been shown to have a profound effect on positive selection in the thymus. When another TCF Elk1 is knocked out in mice there is no effect on positive selection unless it is on a Sap1a KO background where the phenotype is very severe. We have stimulated isolated double positive T cells (DPs) with anti-CD3 to mimic positive selection and compared basal and stimulated transcription across the four genotypes to discover the downstream targets of Sap1a involved in positive selection."}
{"STANDARD_NAME":"GSE21546_WT_VS_SAP1A_KO_AND_ELK1_KO_ANTI_CD3_STIM_DP_THYMOCYTES_UP","SYSTEMATIC_NAME":"M7553","ORGANISM":"Mus musculus","PMID":"20554967","AUTHORS":"Costello P,Nicolas R,Willoughby J,Wasylyk B,Nordheim A,Treisman R","GEOID":"GSE21546","EXACT_SOURCE":"GSE21546_3642_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in double positive thymocytes stimulated by anti-CD3: wildtype versus ELK1 and ELK4 [GeneID=2002;2005] knockout.","DESCRIPTION_FULL":"Removal of the transcription factor SAP1a member of the Ternary Complex Factor (TCF) group of transcription factors which in conjunction with Serum Response Factor (SRF) has been shown to have a profound effect on positive selection in the thymus. When another TCF Elk1 is knocked out in mice there is no effect on positive selection unless it is on a Sap1a KO background where the phenotype is very severe. We have stimulated isolated double positive T cells (DPs) with anti-CD3 to mimic positive selection and compared basal and stimulated transcription across the four genotypes to discover the downstream targets of Sap1a involved in positive selection."}
{"STANDARD_NAME":"GSE21927_UNTREATED_VS_GMCSF_IL6_TREATED_BONE_MARROW_UP","SYSTEMATIC_NAME":"M7554","ORGANISM":"Mus musculus","PMID":"20605485","AUTHORS":"Marigo I,Bosio E,Solito S,Mesa C,Fernandez A,Dolcetti L,Ugel S,Sonda N,Bicciato S,Falisi E,Calabrese F,Basso G,Zanovello P,Cozzi E,Mandruzzato S,Bronte V","GEOID":"GSE21927","EXACT_SOURCE":"GSE21927_2528_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD11b BoneMarrow from BALBc mouse versus CD11b BoneMarrow from BALBc mouse incubated with GMCSF and IL-6.","DESCRIPTION_FULL":"Tumor growth is associated with a profound alteration of myelopoiesis, leading to recruitment of immunosuppressive cells known as myeloid-derived suppressor cells (MDSCs). Analyzing the cytokines affecting myelo-monocytic differentiation produced by various experimental tumors, we found that GM-CSF, G-CSF, and IL-6 allowed a rapid generation of MDSCs from precursors present in mouse and human bone marrow (BM). BM-MDSCs induced by GM-CSF+IL-6 possessed the highest tolerogenic activity, as revealed by the ability to impair the priming of IFN- -producing CD8+ T cells upon in vivo adoptive transfer. Moreover, adoptive transfer of syngeneic, GM-CSF+IL-6-conditioned MDSCs to diabetic mice transplanted with allogeneic pancreatic islets resulted in long term acceptance of the allograft and correction of the diabetic status. Cytokines inducing MDSCs acted on a common molecular pathway. Immunoregulatory activity of both tumor-induced and BM-derived MDSCs was entirely dependent on C/EBP transcription factor, a key component of the emergency myelopoiesis triggered by stress and inflammation. Adoptive transfer of tumor antigen-specific CD8+ T lymphocytes resulted in therapy of established tumors only in mice lacking C/EBP in myeloid compartment. These data unveil another link between inflammation and cancer and identify a novel molecular target to control tumor-induced immune suppression. We used gene expression analysis to identify those factors, secreted by tumor-infiltrating MDSC, which could drive emathopoiesis. Moreover we compare gene expression profile of tumor-induced MDSC, obtained from either the spleen and the tumor infiltrate of tumor bearing mice, and in vitro bone marrow-derived MDSC."}
{"STANDARD_NAME":"GSE21927_HEALTHY_VS_TUMOROUS_BALBC_MOUSE_MONOCYTE_DN","SYSTEMATIC_NAME":"M7555","ORGANISM":"Mus musculus","PMID":"20605485","AUTHORS":"Marigo I,Bosio E,Solito S,Mesa C,Fernandez A,Dolcetti L,Ugel S,Sonda N,Bicciato S,Falisi E,Calabrese F,Basso G,Zanovello P,Cozzi E,Mandruzzato S,Bronte V","GEOID":"GSE21927","EXACT_SOURCE":"GSE21927_2516_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD11b+ cells from spleen of BALB/c mice: healthy versus bearing C26GM colon carcinoma.","DESCRIPTION_FULL":"Tumor growth is associated with a profound alteration of myelopoiesis, leading to recruitment of immunosuppressive cells known as myeloid-derived suppressor cells (MDSCs). Analyzing the cytokines affecting myelo-monocytic differentiation produced by various experimental tumors, we found that GM-CSF, G-CSF, and IL-6 allowed a rapid generation of MDSCs from precursors present in mouse and human bone marrow (BM). BM-MDSCs induced by GM-CSF+IL-6 possessed the highest tolerogenic activity, as revealed by the ability to impair the priming of IFN- -producing CD8+ T cells upon in vivo adoptive transfer. Moreover, adoptive transfer of syngeneic, GM-CSF+IL-6-conditioned MDSCs to diabetic mice transplanted with allogeneic pancreatic islets resulted in long term acceptance of the allograft and correction of the diabetic status. Cytokines inducing MDSCs acted on a common molecular pathway. Immunoregulatory activity of both tumor-induced and BM-derived MDSCs was entirely dependent on C/EBP transcription factor, a key component of the emergency myelopoiesis triggered by stress and inflammation. Adoptive transfer of tumor antigen-specific CD8+ T lymphocytes resulted in therapy of established tumors only in mice lacking C/EBP in myeloid compartment. These data unveil another link between inflammation and cancer and identify a novel molecular target to control tumor-induced immune suppression. We used gene expression analysis to identify those factors, secreted by tumor-infiltrating MDSC, which could drive emathopoiesis. Moreover we compare gene expression profile of tumor-induced MDSC, obtained from either the spleen and the tumor infiltrate of tumor bearing mice, and in vitro bone marrow-derived MDSC."}
{"STANDARD_NAME":"GSE21927_SPLEEN_VS_C26GM_TUMOR_MONOCYTE_BALBC_UP","SYSTEMATIC_NAME":"M7556","ORGANISM":"Mus musculus","PMID":"20605485","AUTHORS":"Marigo I,Bosio E,Solito S,Mesa C,Fernandez A,Dolcetti L,Ugel S,Sonda N,Bicciato S,Falisi E,Calabrese F,Basso G,Zanovello P,Cozzi E,Mandruzzato S,Bronte V","GEOID":"GSE21927","EXACT_SOURCE":"GSE21927_2517_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD11b+ cells from BALB/c mice bearing C26GM colon carcinoma: spleen of BALB/c mice: spleen versus tumor infiltrating monocytes.","DESCRIPTION_FULL":"Tumor growth is associated with a profound alteration of myelopoiesis, leading to recruitment of immunosuppressive cells known as myeloid-derived suppressor cells (MDSCs). Analyzing the cytokines affecting myelo-monocytic differentiation produced by various experimental tumors, we found that GM-CSF, G-CSF, and IL-6 allowed a rapid generation of MDSCs from precursors present in mouse and human bone marrow (BM). BM-MDSCs induced by GM-CSF+IL-6 possessed the highest tolerogenic activity, as revealed by the ability to impair the priming of IFN- -producing CD8+ T cells upon in vivo adoptive transfer. Moreover, adoptive transfer of syngeneic, GM-CSF+IL-6-conditioned MDSCs to diabetic mice transplanted with allogeneic pancreatic islets resulted in long term acceptance of the allograft and correction of the diabetic status. Cytokines inducing MDSCs acted on a common molecular pathway. Immunoregulatory activity of both tumor-induced and BM-derived MDSCs was entirely dependent on C/EBP transcription factor, a key component of the emergency myelopoiesis triggered by stress and inflammation. Adoptive transfer of tumor antigen-specific CD8+ T lymphocytes resulted in therapy of established tumors only in mice lacking C/EBP in myeloid compartment. These data unveil another link between inflammation and cancer and identify a novel molecular target to control tumor-induced immune suppression. We used gene expression analysis to identify those factors, secreted by tumor-infiltrating MDSC, which could drive emathopoiesis. Moreover we compare gene expression profile of tumor-induced MDSC, obtained from either the spleen and the tumor infiltrate of tumor bearing mice, and in vitro bone marrow-derived MDSC."}
{"STANDARD_NAME":"GSE21927_HEALTHY_VS_TUMOROUS_BALBC_MOUSE_MONOCYTE_UP","SYSTEMATIC_NAME":"M7558","ORGANISM":"Mus musculus","PMID":"20605485","AUTHORS":"Marigo I,Bosio E,Solito S,Mesa C,Fernandez A,Dolcetti L,Ugel S,Sonda N,Bicciato S,Falisi E,Calabrese F,Basso G,Zanovello P,Cozzi E,Mandruzzato S,Bronte V","GEOID":"GSE21927","EXACT_SOURCE":"GSE21927_2516_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD11b+ cells from spleen of BALB/c mice: healthy versus bearing C26GM colon carcinoma.","DESCRIPTION_FULL":"Tumor growth is associated with a profound alteration of myelopoiesis, leading to recruitment of immunosuppressive cells known as myeloid-derived suppressor cells (MDSCs). Analyzing the cytokines affecting myelo-monocytic differentiation produced by various experimental tumors, we found that GM-CSF, G-CSF, and IL-6 allowed a rapid generation of MDSCs from precursors present in mouse and human bone marrow (BM). BM-MDSCs induced by GM-CSF+IL-6 possessed the highest tolerogenic activity, as revealed by the ability to impair the priming of IFN- -producing CD8+ T cells upon in vivo adoptive transfer. Moreover, adoptive transfer of syngeneic, GM-CSF+IL-6-conditioned MDSCs to diabetic mice transplanted with allogeneic pancreatic islets resulted in long term acceptance of the allograft and correction of the diabetic status. Cytokines inducing MDSCs acted on a common molecular pathway. Immunoregulatory activity of both tumor-induced and BM-derived MDSCs was entirely dependent on C/EBP transcription factor, a key component of the emergency myelopoiesis triggered by stress and inflammation. Adoptive transfer of tumor antigen-specific CD8+ T lymphocytes resulted in therapy of established tumors only in mice lacking C/EBP in myeloid compartment. These data unveil another link between inflammation and cancer and identify a novel molecular target to control tumor-induced immune suppression. We used gene expression analysis to identify those factors, secreted by tumor-infiltrating MDSC, which could drive emathopoiesis. Moreover we compare gene expression profile of tumor-induced MDSC, obtained from either the spleen and the tumor infiltrate of tumor bearing mice, and in vitro bone marrow-derived MDSC."}
{"STANDARD_NAME":"GSE21927_SPLEEN_VS_4T1_TUMOR_MONOCYTE_BALBC_DN","SYSTEMATIC_NAME":"M7560","ORGANISM":"Mus musculus","PMID":"20605485","AUTHORS":"Marigo I,Bosio E,Solito S,Mesa C,Fernandez A,Dolcetti L,Ugel S,Sonda N,Bicciato S,Falisi E,Calabrese F,Basso G,Zanovello P,Cozzi E,Mandruzzato S,Bronte V","GEOID":"GSE21927","EXACT_SOURCE":"GSE21927_2518_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD11b+ cells from BALB/c mice bearing 4T1 mammary carcinoma: spleen of BALB/c mice: spleen versus tumor infiltrating monocytes.","DESCRIPTION_FULL":"Tumor growth is associated with a profound alteration of myelopoiesis, leading to recruitment of immunosuppressive cells known as myeloid-derived suppressor cells (MDSCs). Analyzing the cytokines affecting myelo-monocytic differentiation produced by various experimental tumors, we found that GM-CSF, G-CSF, and IL-6 allowed a rapid generation of MDSCs from precursors present in mouse and human bone marrow (BM). BM-MDSCs induced by GM-CSF+IL-6 possessed the highest tolerogenic activity, as revealed by the ability to impair the priming of IFN- -producing CD8+ T cells upon in vivo adoptive transfer. Moreover, adoptive transfer of syngeneic, GM-CSF+IL-6-conditioned MDSCs to diabetic mice transplanted with allogeneic pancreatic islets resulted in long term acceptance of the allograft and correction of the diabetic status. Cytokines inducing MDSCs acted on a common molecular pathway. Immunoregulatory activity of both tumor-induced and BM-derived MDSCs was entirely dependent on C/EBP transcription factor, a key component of the emergency myelopoiesis triggered by stress and inflammation. Adoptive transfer of tumor antigen-specific CD8+ T lymphocytes resulted in therapy of established tumors only in mice lacking C/EBP in myeloid compartment. These data unveil another link between inflammation and cancer and identify a novel molecular target to control tumor-induced immune suppression. We used gene expression analysis to identify those factors, secreted by tumor-infiltrating MDSC, which could drive emathopoiesis. Moreover we compare gene expression profile of tumor-induced MDSC, obtained from either the spleen and the tumor infiltrate of tumor bearing mice, and in vitro bone marrow-derived MDSC."}
{"STANDARD_NAME":"GSE21927_SPLEEN_VS_BONE_MARROW_MONOCYTE_BALBC_UP","SYSTEMATIC_NAME":"M7562","ORGANISM":"Mus musculus","PMID":"20605485","AUTHORS":"Marigo I,Bosio E,Solito S,Mesa C,Fernandez A,Dolcetti L,Ugel S,Sonda N,Bicciato S,Falisi E,Calabrese F,Basso G,Zanovello P,Cozzi E,Mandruzzato S,Bronte V","GEOID":"GSE21927","EXACT_SOURCE":"GSE21927_2519_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD11b+ cells from BALB/c mice: spleen versus bone marrow.","DESCRIPTION_FULL":"Tumor growth is associated with a profound alteration of myelopoiesis, leading to recruitment of immunosuppressive cells known as myeloid-derived suppressor cells (MDSCs). Analyzing the cytokines affecting myelo-monocytic differentiation produced by various experimental tumors, we found that GM-CSF, G-CSF, and IL-6 allowed a rapid generation of MDSCs from precursors present in mouse and human bone marrow (BM). BM-MDSCs induced by GM-CSF+IL-6 possessed the highest tolerogenic activity, as revealed by the ability to impair the priming of IFN- -producing CD8+ T cells upon in vivo adoptive transfer. Moreover, adoptive transfer of syngeneic, GM-CSF+IL-6-conditioned MDSCs to diabetic mice transplanted with allogeneic pancreatic islets resulted in long term acceptance of the allograft and correction of the diabetic status. Cytokines inducing MDSCs acted on a common molecular pathway. Immunoregulatory activity of both tumor-induced and BM-derived MDSCs was entirely dependent on C/EBP transcription factor, a key component of the emergency myelopoiesis triggered by stress and inflammation. Adoptive transfer of tumor antigen-specific CD8+ T lymphocytes resulted in therapy of established tumors only in mice lacking C/EBP in myeloid compartment. These data unveil another link between inflammation and cancer and identify a novel molecular target to control tumor-induced immune suppression. We used gene expression analysis to identify those factors, secreted by tumor-infiltrating MDSC, which could drive emathopoiesis. Moreover we compare gene expression profile of tumor-induced MDSC, obtained from either the spleen and the tumor infiltrate of tumor bearing mice, and in vitro bone marrow-derived MDSC."}
{"STANDARD_NAME":"GSE21927_C26GM_VS_4T1_TUMOR_MONOCYTE_BALBC_UP","SYSTEMATIC_NAME":"M7563","ORGANISM":"Mus musculus","PMID":"20605485","AUTHORS":"Marigo I,Bosio E,Solito S,Mesa C,Fernandez A,Dolcetti L,Ugel S,Sonda N,Bicciato S,Falisi E,Calabrese F,Basso G,Zanovello P,Cozzi E,Mandruzzato S,Bronte V","GEOID":"GSE21927","EXACT_SOURCE":"GSE21927_2520_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD11b+ cells from BALB/c mice bearing: C26GM colon carcinoma versus 4T1 mammary carcinoma.","DESCRIPTION_FULL":"Tumor growth is associated with a profound alteration of myelopoiesis, leading to recruitment of immunosuppressive cells known as myeloid-derived suppressor cells (MDSCs). Analyzing the cytokines affecting myelo-monocytic differentiation produced by various experimental tumors, we found that GM-CSF, G-CSF, and IL-6 allowed a rapid generation of MDSCs from precursors present in mouse and human bone marrow (BM). BM-MDSCs induced by GM-CSF+IL-6 possessed the highest tolerogenic activity, as revealed by the ability to impair the priming of IFN- -producing CD8+ T cells upon in vivo adoptive transfer. Moreover, adoptive transfer of syngeneic, GM-CSF+IL-6-conditioned MDSCs to diabetic mice transplanted with allogeneic pancreatic islets resulted in long term acceptance of the allograft and correction of the diabetic status. Cytokines inducing MDSCs acted on a common molecular pathway. Immunoregulatory activity of both tumor-induced and BM-derived MDSCs was entirely dependent on C/EBP transcription factor, a key component of the emergency myelopoiesis triggered by stress and inflammation. Adoptive transfer of tumor antigen-specific CD8+ T lymphocytes resulted in therapy of established tumors only in mice lacking C/EBP in myeloid compartment. These data unveil another link between inflammation and cancer and identify a novel molecular target to control tumor-induced immune suppression. We used gene expression analysis to identify those factors, secreted by tumor-infiltrating MDSC, which could drive emathopoiesis. Moreover we compare gene expression profile of tumor-induced MDSC, obtained from either the spleen and the tumor infiltrate of tumor bearing mice, and in vitro bone marrow-derived MDSC."}
{"STANDARD_NAME":"GSE21927_SPLEEN_MONOCYTE_VS_GMCSF_GCSF_BONE_MARROW_UP","SYSTEMATIC_NAME":"M7564","ORGANISM":"Mus musculus","PMID":"20605485","AUTHORS":"Marigo I,Bosio E,Solito S,Mesa C,Fernandez A,Dolcetti L,Ugel S,Sonda N,Bicciato S,Falisi E,Calabrese F,Basso G,Zanovello P,Cozzi E,Mandruzzato S,Bronte V","GEOID":"GSE21927","EXACT_SOURCE":"GSE21927_2526_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD11b Spleen from BALBc mouse versus CD11b BoneMarrow from BALBc mouse incubated with GMCSF and GCSF.","DESCRIPTION_FULL":"Tumor growth is associated with a profound alteration of myelopoiesis, leading to recruitment of immunosuppressive cells known as myeloid-derived suppressor cells (MDSCs). Analyzing the cytokines affecting myelo-monocytic differentiation produced by various experimental tumors, we found that GM-CSF, G-CSF, and IL-6 allowed a rapid generation of MDSCs from precursors present in mouse and human bone marrow (BM). BM-MDSCs induced by GM-CSF+IL-6 possessed the highest tolerogenic activity, as revealed by the ability to impair the priming of IFN- -producing CD8+ T cells upon in vivo adoptive transfer. Moreover, adoptive transfer of syngeneic, GM-CSF+IL-6-conditioned MDSCs to diabetic mice transplanted with allogeneic pancreatic islets resulted in long term acceptance of the allograft and correction of the diabetic status. Cytokines inducing MDSCs acted on a common molecular pathway. Immunoregulatory activity of both tumor-induced and BM-derived MDSCs was entirely dependent on C/EBP transcription factor, a key component of the emergency myelopoiesis triggered by stress and inflammation. Adoptive transfer of tumor antigen-specific CD8+ T lymphocytes resulted in therapy of established tumors only in mice lacking C/EBP in myeloid compartment. These data unveil another link between inflammation and cancer and identify a novel molecular target to control tumor-induced immune suppression. We used gene expression analysis to identify those factors, secreted by tumor-infiltrating MDSC, which could drive emathopoiesis. Moreover we compare gene expression profile of tumor-induced MDSC, obtained from either the spleen and the tumor infiltrate of tumor bearing mice, and in vitro bone marrow-derived MDSC."}
{"STANDARD_NAME":"GSE21927_SPLEEN_MONOCYTE_VS_GMCSF_GCSF_BONE_MARROW_DN","SYSTEMATIC_NAME":"M7565","ORGANISM":"Mus musculus","PMID":"20605485","AUTHORS":"Marigo I,Bosio E,Solito S,Mesa C,Fernandez A,Dolcetti L,Ugel S,Sonda N,Bicciato S,Falisi E,Calabrese F,Basso G,Zanovello P,Cozzi E,Mandruzzato S,Bronte V","GEOID":"GSE21927","EXACT_SOURCE":"GSE21927_2526_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD11b Spleen from BALBc mouse versus CD11b BoneMarrow from BALBc mouse incubated with GMCSF and GCSF.","DESCRIPTION_FULL":"Tumor growth is associated with a profound alteration of myelopoiesis, leading to recruitment of immunosuppressive cells known as myeloid-derived suppressor cells (MDSCs). Analyzing the cytokines affecting myelo-monocytic differentiation produced by various experimental tumors, we found that GM-CSF, G-CSF, and IL-6 allowed a rapid generation of MDSCs from precursors present in mouse and human bone marrow (BM). BM-MDSCs induced by GM-CSF+IL-6 possessed the highest tolerogenic activity, as revealed by the ability to impair the priming of IFN- -producing CD8+ T cells upon in vivo adoptive transfer. Moreover, adoptive transfer of syngeneic, GM-CSF+IL-6-conditioned MDSCs to diabetic mice transplanted with allogeneic pancreatic islets resulted in long term acceptance of the allograft and correction of the diabetic status. Cytokines inducing MDSCs acted on a common molecular pathway. Immunoregulatory activity of both tumor-induced and BM-derived MDSCs was entirely dependent on C/EBP transcription factor, a key component of the emergency myelopoiesis triggered by stress and inflammation. Adoptive transfer of tumor antigen-specific CD8+ T lymphocytes resulted in therapy of established tumors only in mice lacking C/EBP in myeloid compartment. These data unveil another link between inflammation and cancer and identify a novel molecular target to control tumor-induced immune suppression. We used gene expression analysis to identify those factors, secreted by tumor-infiltrating MDSC, which could drive emathopoiesis. Moreover we compare gene expression profile of tumor-induced MDSC, obtained from either the spleen and the tumor infiltrate of tumor bearing mice, and in vitro bone marrow-derived MDSC."}
{"STANDARD_NAME":"GSE21927_UNTREATED_VS_GMCSF_IL6_TREATED_BONE_MARROW_DN","SYSTEMATIC_NAME":"M7567","ORGANISM":"Mus musculus","PMID":"20605485","AUTHORS":"Marigo I,Bosio E,Solito S,Mesa C,Fernandez A,Dolcetti L,Ugel S,Sonda N,Bicciato S,Falisi E,Calabrese F,Basso G,Zanovello P,Cozzi E,Mandruzzato S,Bronte V","GEOID":"GSE21927","EXACT_SOURCE":"GSE21927_2528_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD11b BoneMarrow from BALBc mouse versus CD11b BoneMarrow from BALBc mouse incubated with GMCSF and IL-6.","DESCRIPTION_FULL":"Tumor growth is associated with a profound alteration of myelopoiesis, leading to recruitment of immunosuppressive cells known as myeloid-derived suppressor cells (MDSCs). Analyzing the cytokines affecting myelo-monocytic differentiation produced by various experimental tumors, we found that GM-CSF, G-CSF, and IL-6 allowed a rapid generation of MDSCs from precursors present in mouse and human bone marrow (BM). BM-MDSCs induced by GM-CSF+IL-6 possessed the highest tolerogenic activity, as revealed by the ability to impair the priming of IFN- -producing CD8+ T cells upon in vivo adoptive transfer. Moreover, adoptive transfer of syngeneic, GM-CSF+IL-6-conditioned MDSCs to diabetic mice transplanted with allogeneic pancreatic islets resulted in long term acceptance of the allograft and correction of the diabetic status. Cytokines inducing MDSCs acted on a common molecular pathway. Immunoregulatory activity of both tumor-induced and BM-derived MDSCs was entirely dependent on C/EBP transcription factor, a key component of the emergency myelopoiesis triggered by stress and inflammation. Adoptive transfer of tumor antigen-specific CD8+ T lymphocytes resulted in therapy of established tumors only in mice lacking C/EBP in myeloid compartment. These data unveil another link between inflammation and cancer and identify a novel molecular target to control tumor-induced immune suppression. We used gene expression analysis to identify those factors, secreted by tumor-infiltrating MDSC, which could drive emathopoiesis. Moreover we compare gene expression profile of tumor-induced MDSC, obtained from either the spleen and the tumor infiltrate of tumor bearing mice, and in vitro bone marrow-derived MDSC."}
{"STANDARD_NAME":"GSE21927_SPLEEN_VS_BONE_MARROW_MONOCYTE_BALBC_DN","SYSTEMATIC_NAME":"M7568","ORGANISM":"Mus musculus","PMID":"20605485","AUTHORS":"Marigo I,Bosio E,Solito S,Mesa C,Fernandez A,Dolcetti L,Ugel S,Sonda N,Bicciato S,Falisi E,Calabrese F,Basso G,Zanovello P,Cozzi E,Mandruzzato S,Bronte V","GEOID":"GSE21927","EXACT_SOURCE":"GSE21927_2519_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD11b+ cells from BALB/c mice: spleen versus bone marrow.","DESCRIPTION_FULL":"Tumor growth is associated with a profound alteration of myelopoiesis, leading to recruitment of immunosuppressive cells known as myeloid-derived suppressor cells (MDSCs). Analyzing the cytokines affecting myelo-monocytic differentiation produced by various experimental tumors, we found that GM-CSF, G-CSF, and IL-6 allowed a rapid generation of MDSCs from precursors present in mouse and human bone marrow (BM). BM-MDSCs induced by GM-CSF+IL-6 possessed the highest tolerogenic activity, as revealed by the ability to impair the priming of IFN- -producing CD8+ T cells upon in vivo adoptive transfer. Moreover, adoptive transfer of syngeneic, GM-CSF+IL-6-conditioned MDSCs to diabetic mice transplanted with allogeneic pancreatic islets resulted in long term acceptance of the allograft and correction of the diabetic status. Cytokines inducing MDSCs acted on a common molecular pathway. Immunoregulatory activity of both tumor-induced and BM-derived MDSCs was entirely dependent on C/EBP transcription factor, a key component of the emergency myelopoiesis triggered by stress and inflammation. Adoptive transfer of tumor antigen-specific CD8+ T lymphocytes resulted in therapy of established tumors only in mice lacking C/EBP in myeloid compartment. These data unveil another link between inflammation and cancer and identify a novel molecular target to control tumor-induced immune suppression. We used gene expression analysis to identify those factors, secreted by tumor-infiltrating MDSC, which could drive emathopoiesis. Moreover we compare gene expression profile of tumor-induced MDSC, obtained from either the spleen and the tumor infiltrate of tumor bearing mice, and in vitro bone marrow-derived MDSC."}
{"STANDARD_NAME":"GSE21927_BALBC_VS_C57BL6_MONOCYTE_SPLEEN_UP","SYSTEMATIC_NAME":"M7569","ORGANISM":"Mus musculus","PMID":"20605485","AUTHORS":"Marigo I,Bosio E,Solito S,Mesa C,Fernandez A,Dolcetti L,Ugel S,Sonda N,Bicciato S,Falisi E,Calabrese F,Basso G,Zanovello P,Cozzi E,Mandruzzato S,Bronte V","GEOID":"GSE21927","EXACT_SOURCE":"GSE21927_2515_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in spleen CD11b cells: BALBc versus C57BL6 mouse strains.","DESCRIPTION_FULL":"Tumor growth is associated with a profound alteration of myelopoiesis, leading to recruitment of immunosuppressive cells known as myeloid-derived suppressor cells (MDSCs). Analyzing the cytokines affecting myelo-monocytic differentiation produced by various experimental tumors, we found that GM-CSF, G-CSF, and IL-6 allowed a rapid generation of MDSCs from precursors present in mouse and human bone marrow (BM). BM-MDSCs induced by GM-CSF+IL-6 possessed the highest tolerogenic activity, as revealed by the ability to impair the priming of IFN- -producing CD8+ T cells upon in vivo adoptive transfer. Moreover, adoptive transfer of syngeneic, GM-CSF+IL-6-conditioned MDSCs to diabetic mice transplanted with allogeneic pancreatic islets resulted in long term acceptance of the allograft and correction of the diabetic status. Cytokines inducing MDSCs acted on a common molecular pathway. Immunoregulatory activity of both tumor-induced and BM-derived MDSCs was entirely dependent on C/EBP transcription factor, a key component of the emergency myelopoiesis triggered by stress and inflammation. Adoptive transfer of tumor antigen-specific CD8+ T lymphocytes resulted in therapy of established tumors only in mice lacking C/EBP in myeloid compartment. These data unveil another link between inflammation and cancer and identify a novel molecular target to control tumor-induced immune suppression. We used gene expression analysis to identify those factors, secreted by tumor-infiltrating MDSC, which could drive emathopoiesis. Moreover we compare gene expression profile of tumor-induced MDSC, obtained from either the spleen and the tumor infiltrate of tumor bearing mice, and in vitro bone marrow-derived MDSC."}
{"STANDARD_NAME":"GSE21927_BALBC_VS_C57BL6_MONOCYTE_SPLEEN_DN","SYSTEMATIC_NAME":"M7570","ORGANISM":"Mus musculus","PMID":"20605485","AUTHORS":"Marigo I,Bosio E,Solito S,Mesa C,Fernandez A,Dolcetti L,Ugel S,Sonda N,Bicciato S,Falisi E,Calabrese F,Basso G,Zanovello P,Cozzi E,Mandruzzato S,Bronte V","GEOID":"GSE21927","EXACT_SOURCE":"GSE21927_2515_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in spleen CD11b cells: BALBc versus C57BL6 mouse strains.","DESCRIPTION_FULL":"Tumor growth is associated with a profound alteration of myelopoiesis, leading to recruitment of immunosuppressive cells known as myeloid-derived suppressor cells (MDSCs). Analyzing the cytokines affecting myelo-monocytic differentiation produced by various experimental tumors, we found that GM-CSF, G-CSF, and IL-6 allowed a rapid generation of MDSCs from precursors present in mouse and human bone marrow (BM). BM-MDSCs induced by GM-CSF+IL-6 possessed the highest tolerogenic activity, as revealed by the ability to impair the priming of IFN- -producing CD8+ T cells upon in vivo adoptive transfer. Moreover, adoptive transfer of syngeneic, GM-CSF+IL-6-conditioned MDSCs to diabetic mice transplanted with allogeneic pancreatic islets resulted in long term acceptance of the allograft and correction of the diabetic status. Cytokines inducing MDSCs acted on a common molecular pathway. Immunoregulatory activity of both tumor-induced and BM-derived MDSCs was entirely dependent on C/EBP transcription factor, a key component of the emergency myelopoiesis triggered by stress and inflammation. Adoptive transfer of tumor antigen-specific CD8+ T lymphocytes resulted in therapy of established tumors only in mice lacking C/EBP in myeloid compartment. These data unveil another link between inflammation and cancer and identify a novel molecular target to control tumor-induced immune suppression. We used gene expression analysis to identify those factors, secreted by tumor-infiltrating MDSC, which could drive emathopoiesis. Moreover we compare gene expression profile of tumor-induced MDSC, obtained from either the spleen and the tumor infiltrate of tumor bearing mice, and in vitro bone marrow-derived MDSC."}
{"STANDARD_NAME":"GSE21927_UNTREATED_VS_GMCSF_GCSF_TREATED_BONE_MARROW_DN","SYSTEMATIC_NAME":"M7571","ORGANISM":"Mus musculus","PMID":"20605485","AUTHORS":"Marigo I,Bosio E,Solito S,Mesa C,Fernandez A,Dolcetti L,Ugel S,Sonda N,Bicciato S,Falisi E,Calabrese F,Basso G,Zanovello P,Cozzi E,Mandruzzato S,Bronte V","GEOID":"GSE21927","EXACT_SOURCE":"GSE21927_2529_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD11b BoneMarrow from BALBc mouse versus CD11b BoneMarrow from BALBc mouse incubated with GMCSF and GCSF.","DESCRIPTION_FULL":"Tumor growth is associated with a profound alteration of myelopoiesis, leading to recruitment of immunosuppressive cells known as myeloid-derived suppressor cells (MDSCs). Analyzing the cytokines affecting myelo-monocytic differentiation produced by various experimental tumors, we found that GM-CSF, G-CSF, and IL-6 allowed a rapid generation of MDSCs from precursors present in mouse and human bone marrow (BM). BM-MDSCs induced by GM-CSF+IL-6 possessed the highest tolerogenic activity, as revealed by the ability to impair the priming of IFN- -producing CD8+ T cells upon in vivo adoptive transfer. Moreover, adoptive transfer of syngeneic, GM-CSF+IL-6-conditioned MDSCs to diabetic mice transplanted with allogeneic pancreatic islets resulted in long term acceptance of the allograft and correction of the diabetic status. Cytokines inducing MDSCs acted on a common molecular pathway. Immunoregulatory activity of both tumor-induced and BM-derived MDSCs was entirely dependent on C/EBP transcription factor, a key component of the emergency myelopoiesis triggered by stress and inflammation. Adoptive transfer of tumor antigen-specific CD8+ T lymphocytes resulted in therapy of established tumors only in mice lacking C/EBP in myeloid compartment. These data unveil another link between inflammation and cancer and identify a novel molecular target to control tumor-induced immune suppression. We used gene expression analysis to identify those factors, secreted by tumor-infiltrating MDSC, which could drive emathopoiesis. Moreover we compare gene expression profile of tumor-induced MDSC, obtained from either the spleen and the tumor infiltrate of tumor bearing mice, and in vitro bone marrow-derived MDSC."}
{"STANDARD_NAME":"GSE21927_GMCSF_IL6_VS_GMCSF_GCSF_TREATED_BONE_MARROW_UP","SYSTEMATIC_NAME":"M7572","ORGANISM":"Mus musculus","PMID":"20605485","AUTHORS":"Marigo I,Bosio E,Solito S,Mesa C,Fernandez A,Dolcetti L,Ugel S,Sonda N,Bicciato S,Falisi E,Calabrese F,Basso G,Zanovello P,Cozzi E,Mandruzzato S,Bronte V","GEOID":"GSE21927","EXACT_SOURCE":"GSE21927_2530_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD11b BoneMarrow from BALBc mouse incubated with GMCSF and IL-6 versus CD11b BoneMarrow from BALBc mouse incubated with GMCSF and GCSF.","DESCRIPTION_FULL":"Tumor growth is associated with a profound alteration of myelopoiesis, leading to recruitment of immunosuppressive cells known as myeloid-derived suppressor cells (MDSCs). Analyzing the cytokines affecting myelo-monocytic differentiation produced by various experimental tumors, we found that GM-CSF, G-CSF, and IL-6 allowed a rapid generation of MDSCs from precursors present in mouse and human bone marrow (BM). BM-MDSCs induced by GM-CSF+IL-6 possessed the highest tolerogenic activity, as revealed by the ability to impair the priming of IFN- -producing CD8+ T cells upon in vivo adoptive transfer. Moreover, adoptive transfer of syngeneic, GM-CSF+IL-6-conditioned MDSCs to diabetic mice transplanted with allogeneic pancreatic islets resulted in long term acceptance of the allograft and correction of the diabetic status. Cytokines inducing MDSCs acted on a common molecular pathway. Immunoregulatory activity of both tumor-induced and BM-derived MDSCs was entirely dependent on C/EBP transcription factor, a key component of the emergency myelopoiesis triggered by stress and inflammation. Adoptive transfer of tumor antigen-specific CD8+ T lymphocytes resulted in therapy of established tumors only in mice lacking C/EBP in myeloid compartment. These data unveil another link between inflammation and cancer and identify a novel molecular target to control tumor-induced immune suppression. We used gene expression analysis to identify those factors, secreted by tumor-infiltrating MDSC, which could drive emathopoiesis. Moreover we compare gene expression profile of tumor-induced MDSC, obtained from either the spleen and the tumor infiltrate of tumor bearing mice, and in vitro bone marrow-derived MDSC."}
{"STANDARD_NAME":"GSE21927_SPLEEN_VS_C26GM_TUMOR_MONOCYTE_BALBC_DN","SYSTEMATIC_NAME":"M7573","ORGANISM":"Mus musculus","PMID":"20605485","AUTHORS":"Marigo I,Bosio E,Solito S,Mesa C,Fernandez A,Dolcetti L,Ugel S,Sonda N,Bicciato S,Falisi E,Calabrese F,Basso G,Zanovello P,Cozzi E,Mandruzzato S,Bronte V","GEOID":"GSE21927","EXACT_SOURCE":"GSE21927_2517_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD11b+ cells from BALB/c mice bearing C26GM colon carcinoma: spleen of BALB/c mice: spleen versus tumor infiltrating monocytes.","DESCRIPTION_FULL":"Tumor growth is associated with a profound alteration of myelopoiesis, leading to recruitment of immunosuppressive cells known as myeloid-derived suppressor cells (MDSCs). Analyzing the cytokines affecting myelo-monocytic differentiation produced by various experimental tumors, we found that GM-CSF, G-CSF, and IL-6 allowed a rapid generation of MDSCs from precursors present in mouse and human bone marrow (BM). BM-MDSCs induced by GM-CSF+IL-6 possessed the highest tolerogenic activity, as revealed by the ability to impair the priming of IFN- -producing CD8+ T cells upon in vivo adoptive transfer. Moreover, adoptive transfer of syngeneic, GM-CSF+IL-6-conditioned MDSCs to diabetic mice transplanted with allogeneic pancreatic islets resulted in long term acceptance of the allograft and correction of the diabetic status. Cytokines inducing MDSCs acted on a common molecular pathway. Immunoregulatory activity of both tumor-induced and BM-derived MDSCs was entirely dependent on C/EBP transcription factor, a key component of the emergency myelopoiesis triggered by stress and inflammation. Adoptive transfer of tumor antigen-specific CD8+ T lymphocytes resulted in therapy of established tumors only in mice lacking C/EBP in myeloid compartment. These data unveil another link between inflammation and cancer and identify a novel molecular target to control tumor-induced immune suppression. We used gene expression analysis to identify those factors, secreted by tumor-infiltrating MDSC, which could drive emathopoiesis. Moreover we compare gene expression profile of tumor-induced MDSC, obtained from either the spleen and the tumor infiltrate of tumor bearing mice, and in vitro bone marrow-derived MDSC."}
{"STANDARD_NAME":"GSE21927_SPLEEN_VS_4T1_TUMOR_MONOCYTE_BALBC_UP","SYSTEMATIC_NAME":"M7574","ORGANISM":"Mus musculus","PMID":"20605485","AUTHORS":"Marigo I,Bosio E,Solito S,Mesa C,Fernandez A,Dolcetti L,Ugel S,Sonda N,Bicciato S,Falisi E,Calabrese F,Basso G,Zanovello P,Cozzi E,Mandruzzato S,Bronte V","GEOID":"GSE21927","EXACT_SOURCE":"GSE21927_2518_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD11b+ cells from BALB/c mice bearing 4T1 mammary carcinoma: spleen of BALB/c mice: spleen versus tumor infiltrating monocytes.","DESCRIPTION_FULL":"Tumor growth is associated with a profound alteration of myelopoiesis, leading to recruitment of immunosuppressive cells known as myeloid-derived suppressor cells (MDSCs). Analyzing the cytokines affecting myelo-monocytic differentiation produced by various experimental tumors, we found that GM-CSF, G-CSF, and IL-6 allowed a rapid generation of MDSCs from precursors present in mouse and human bone marrow (BM). BM-MDSCs induced by GM-CSF+IL-6 possessed the highest tolerogenic activity, as revealed by the ability to impair the priming of IFN- -producing CD8+ T cells upon in vivo adoptive transfer. Moreover, adoptive transfer of syngeneic, GM-CSF+IL-6-conditioned MDSCs to diabetic mice transplanted with allogeneic pancreatic islets resulted in long term acceptance of the allograft and correction of the diabetic status. Cytokines inducing MDSCs acted on a common molecular pathway. Immunoregulatory activity of both tumor-induced and BM-derived MDSCs was entirely dependent on C/EBP transcription factor, a key component of the emergency myelopoiesis triggered by stress and inflammation. Adoptive transfer of tumor antigen-specific CD8+ T lymphocytes resulted in therapy of established tumors only in mice lacking C/EBP in myeloid compartment. These data unveil another link between inflammation and cancer and identify a novel molecular target to control tumor-induced immune suppression. We used gene expression analysis to identify those factors, secreted by tumor-infiltrating MDSC, which could drive emathopoiesis. Moreover we compare gene expression profile of tumor-induced MDSC, obtained from either the spleen and the tumor infiltrate of tumor bearing mice, and in vitro bone marrow-derived MDSC."}
{"STANDARD_NAME":"GSE21927_BALBC_VS_C57BL6_MONOCYTE_TUMOR_DN","SYSTEMATIC_NAME":"M7575","ORGANISM":"Mus musculus","PMID":"20605485","AUTHORS":"Marigo I,Bosio E,Solito S,Mesa C,Fernandez A,Dolcetti L,Ugel S,Sonda N,Bicciato S,Falisi E,Calabrese F,Basso G,Zanovello P,Cozzi E,Mandruzzato S,Bronte V","GEOID":"GSE21927","EXACT_SOURCE":"GSE21927_2531_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD11b Tumor from BALBc mouse versus CD11b Tumor from C57BL6 mouse.","DESCRIPTION_FULL":"Tumor growth is associated with a profound alteration of myelopoiesis, leading to recruitment of immunosuppressive cells known as myeloid-derived suppressor cells (MDSCs). Analyzing the cytokines affecting myelo-monocytic differentiation produced by various experimental tumors, we found that GM-CSF, G-CSF, and IL-6 allowed a rapid generation of MDSCs from precursors present in mouse and human bone marrow (BM). BM-MDSCs induced by GM-CSF+IL-6 possessed the highest tolerogenic activity, as revealed by the ability to impair the priming of IFN- -producing CD8+ T cells upon in vivo adoptive transfer. Moreover, adoptive transfer of syngeneic, GM-CSF+IL-6-conditioned MDSCs to diabetic mice transplanted with allogeneic pancreatic islets resulted in long term acceptance of the allograft and correction of the diabetic status. Cytokines inducing MDSCs acted on a common molecular pathway. Immunoregulatory activity of both tumor-induced and BM-derived MDSCs was entirely dependent on C/EBP transcription factor, a key component of the emergency myelopoiesis triggered by stress and inflammation. Adoptive transfer of tumor antigen-specific CD8+ T lymphocytes resulted in therapy of established tumors only in mice lacking C/EBP in myeloid compartment. These data unveil another link between inflammation and cancer and identify a novel molecular target to control tumor-induced immune suppression. We used gene expression analysis to identify those factors, secreted by tumor-infiltrating MDSC, which could drive emathopoiesis. Moreover we compare gene expression profile of tumor-induced MDSC, obtained from either the spleen and the tumor infiltrate of tumor bearing mice, and in vitro bone marrow-derived MDSC."}
{"STANDARD_NAME":"GSE21927_SPLEEN_VS_TUMOR_MONOCYTE_BALBC_UP","SYSTEMATIC_NAME":"M7579","ORGANISM":"Mus musculus","PMID":"20605485","AUTHORS":"Marigo I,Bosio E,Solito S,Mesa C,Fernandez A,Dolcetti L,Ugel S,Sonda N,Bicciato S,Falisi E,Calabrese F,Basso G,Zanovello P,Cozzi E,Mandruzzato S,Bronte V","GEOID":"GSE21927","EXACT_SOURCE":"GSE21927_2532_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD11b Spleen from BALBc mouse versus CD11b Tumor from BALBc mouse.","DESCRIPTION_FULL":"Tumor growth is associated with a profound alteration of myelopoiesis, leading to recruitment of immunosuppressive cells known as myeloid-derived suppressor cells (MDSCs). Analyzing the cytokines affecting myelo-monocytic differentiation produced by various experimental tumors, we found that GM-CSF, G-CSF, and IL-6 allowed a rapid generation of MDSCs from precursors present in mouse and human bone marrow (BM). BM-MDSCs induced by GM-CSF+IL-6 possessed the highest tolerogenic activity, as revealed by the ability to impair the priming of IFN- -producing CD8+ T cells upon in vivo adoptive transfer. Moreover, adoptive transfer of syngeneic, GM-CSF+IL-6-conditioned MDSCs to diabetic mice transplanted with allogeneic pancreatic islets resulted in long term acceptance of the allograft and correction of the diabetic status. Cytokines inducing MDSCs acted on a common molecular pathway. Immunoregulatory activity of both tumor-induced and BM-derived MDSCs was entirely dependent on C/EBP transcription factor, a key component of the emergency myelopoiesis triggered by stress and inflammation. Adoptive transfer of tumor antigen-specific CD8+ T lymphocytes resulted in therapy of established tumors only in mice lacking C/EBP in myeloid compartment. These data unveil another link between inflammation and cancer and identify a novel molecular target to control tumor-induced immune suppression. We used gene expression analysis to identify those factors, secreted by tumor-infiltrating MDSC, which could drive emathopoiesis. Moreover we compare gene expression profile of tumor-induced MDSC, obtained from either the spleen and the tumor infiltrate of tumor bearing mice, and in vitro bone marrow-derived MDSC."}
{"STANDARD_NAME":"GSE21927_SPLEEN_VS_TUMOR_MONOCYTE_BALBC_DN","SYSTEMATIC_NAME":"M7580","ORGANISM":"Mus musculus","PMID":"20605485","AUTHORS":"Marigo I,Bosio E,Solito S,Mesa C,Fernandez A,Dolcetti L,Ugel S,Sonda N,Bicciato S,Falisi E,Calabrese F,Basso G,Zanovello P,Cozzi E,Mandruzzato S,Bronte V","GEOID":"GSE21927","EXACT_SOURCE":"GSE21927_2532_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD11b Spleen from BALBc mouse versus CD11b Tumor from BALBc mouse.","DESCRIPTION_FULL":"Tumor growth is associated with a profound alteration of myelopoiesis, leading to recruitment of immunosuppressive cells known as myeloid-derived suppressor cells (MDSCs). Analyzing the cytokines affecting myelo-monocytic differentiation produced by various experimental tumors, we found that GM-CSF, G-CSF, and IL-6 allowed a rapid generation of MDSCs from precursors present in mouse and human bone marrow (BM). BM-MDSCs induced by GM-CSF+IL-6 possessed the highest tolerogenic activity, as revealed by the ability to impair the priming of IFN- -producing CD8+ T cells upon in vivo adoptive transfer. Moreover, adoptive transfer of syngeneic, GM-CSF+IL-6-conditioned MDSCs to diabetic mice transplanted with allogeneic pancreatic islets resulted in long term acceptance of the allograft and correction of the diabetic status. Cytokines inducing MDSCs acted on a common molecular pathway. Immunoregulatory activity of both tumor-induced and BM-derived MDSCs was entirely dependent on C/EBP transcription factor, a key component of the emergency myelopoiesis triggered by stress and inflammation. Adoptive transfer of tumor antigen-specific CD8+ T lymphocytes resulted in therapy of established tumors only in mice lacking C/EBP in myeloid compartment. These data unveil another link between inflammation and cancer and identify a novel molecular target to control tumor-induced immune suppression. We used gene expression analysis to identify those factors, secreted by tumor-infiltrating MDSC, which could drive emathopoiesis. Moreover we compare gene expression profile of tumor-induced MDSC, obtained from either the spleen and the tumor infiltrate of tumor bearing mice, and in vitro bone marrow-derived MDSC."}
{"STANDARD_NAME":"GSE21927_SPLEEN_VS_TUMOR_MONOCYTE_C57BL6_UP","SYSTEMATIC_NAME":"M7582","ORGANISM":"Mus musculus","PMID":"20605485","AUTHORS":"Marigo I,Bosio E,Solito S,Mesa C,Fernandez A,Dolcetti L,Ugel S,Sonda N,Bicciato S,Falisi E,Calabrese F,Basso G,Zanovello P,Cozzi E,Mandruzzato S,Bronte V","GEOID":"GSE21927","EXACT_SOURCE":"GSE21927_2533_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD11b Spleen from C57BL6 mouse versus CD11b Tumor from C57BL6 mouse.","DESCRIPTION_FULL":"Tumor growth is associated with a profound alteration of myelopoiesis, leading to recruitment of immunosuppressive cells known as myeloid-derived suppressor cells (MDSCs). Analyzing the cytokines affecting myelo-monocytic differentiation produced by various experimental tumors, we found that GM-CSF, G-CSF, and IL-6 allowed a rapid generation of MDSCs from precursors present in mouse and human bone marrow (BM). BM-MDSCs induced by GM-CSF+IL-6 possessed the highest tolerogenic activity, as revealed by the ability to impair the priming of IFN- -producing CD8+ T cells upon in vivo adoptive transfer. Moreover, adoptive transfer of syngeneic, GM-CSF+IL-6-conditioned MDSCs to diabetic mice transplanted with allogeneic pancreatic islets resulted in long term acceptance of the allograft and correction of the diabetic status. Cytokines inducing MDSCs acted on a common molecular pathway. Immunoregulatory activity of both tumor-induced and BM-derived MDSCs was entirely dependent on C/EBP transcription factor, a key component of the emergency myelopoiesis triggered by stress and inflammation. Adoptive transfer of tumor antigen-specific CD8+ T lymphocytes resulted in therapy of established tumors only in mice lacking C/EBP in myeloid compartment. These data unveil another link between inflammation and cancer and identify a novel molecular target to control tumor-induced immune suppression. We used gene expression analysis to identify those factors, secreted by tumor-infiltrating MDSC, which could drive emathopoiesis. Moreover we compare gene expression profile of tumor-induced MDSC, obtained from either the spleen and the tumor infiltrate of tumor bearing mice, and in vitro bone marrow-derived MDSC."}
{"STANDARD_NAME":"GSE21927_SPLEEN_VS_TUMOR_MONOCYTE_C57BL6_DN","SYSTEMATIC_NAME":"M7583","ORGANISM":"Mus musculus","PMID":"20605485","AUTHORS":"Marigo I,Bosio E,Solito S,Mesa C,Fernandez A,Dolcetti L,Ugel S,Sonda N,Bicciato S,Falisi E,Calabrese F,Basso G,Zanovello P,Cozzi E,Mandruzzato S,Bronte V","GEOID":"GSE21927","EXACT_SOURCE":"GSE21927_2533_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD11b Spleen from C57BL6 mouse versus CD11b Tumor from C57BL6 mouse.","DESCRIPTION_FULL":"Tumor growth is associated with a profound alteration of myelopoiesis, leading to recruitment of immunosuppressive cells known as myeloid-derived suppressor cells (MDSCs). Analyzing the cytokines affecting myelo-monocytic differentiation produced by various experimental tumors, we found that GM-CSF, G-CSF, and IL-6 allowed a rapid generation of MDSCs from precursors present in mouse and human bone marrow (BM). BM-MDSCs induced by GM-CSF+IL-6 possessed the highest tolerogenic activity, as revealed by the ability to impair the priming of IFN- -producing CD8+ T cells upon in vivo adoptive transfer. Moreover, adoptive transfer of syngeneic, GM-CSF+IL-6-conditioned MDSCs to diabetic mice transplanted with allogeneic pancreatic islets resulted in long term acceptance of the allograft and correction of the diabetic status. Cytokines inducing MDSCs acted on a common molecular pathway. Immunoregulatory activity of both tumor-induced and BM-derived MDSCs was entirely dependent on C/EBP transcription factor, a key component of the emergency myelopoiesis triggered by stress and inflammation. Adoptive transfer of tumor antigen-specific CD8+ T lymphocytes resulted in therapy of established tumors only in mice lacking C/EBP in myeloid compartment. These data unveil another link between inflammation and cancer and identify a novel molecular target to control tumor-induced immune suppression. We used gene expression analysis to identify those factors, secreted by tumor-infiltrating MDSC, which could drive emathopoiesis. Moreover we compare gene expression profile of tumor-induced MDSC, obtained from either the spleen and the tumor infiltrate of tumor bearing mice, and in vitro bone marrow-derived MDSC."}
{"STANDARD_NAME":"GSE21927_EL4_VS_MCA203_TUMOR_MONOCYTES_UP","SYSTEMATIC_NAME":"M7584","ORGANISM":"Mus musculus","PMID":"20605485","AUTHORS":"Marigo I,Bosio E,Solito S,Mesa C,Fernandez A,Dolcetti L,Ugel S,Sonda N,Bicciato S,Falisi E,Calabrese F,Basso G,Zanovello P,Cozzi E,Mandruzzato S,Bronte V","GEOID":"GSE21927","EXACT_SOURCE":"GSE21927_2527_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD11b EL4 Tumor from C57BL6 mouse versus CD11b MCA203 Tumor from C57BL6 mouse.","DESCRIPTION_FULL":"Tumor growth is associated with a profound alteration of myelopoiesis, leading to recruitment of immunosuppressive cells known as myeloid-derived suppressor cells (MDSCs). Analyzing the cytokines affecting myelo-monocytic differentiation produced by various experimental tumors, we found that GM-CSF, G-CSF, and IL-6 allowed a rapid generation of MDSCs from precursors present in mouse and human bone marrow (BM). BM-MDSCs induced by GM-CSF+IL-6 possessed the highest tolerogenic activity, as revealed by the ability to impair the priming of IFN- -producing CD8+ T cells upon in vivo adoptive transfer. Moreover, adoptive transfer of syngeneic, GM-CSF+IL-6-conditioned MDSCs to diabetic mice transplanted with allogeneic pancreatic islets resulted in long term acceptance of the allograft and correction of the diabetic status. Cytokines inducing MDSCs acted on a common molecular pathway. Immunoregulatory activity of both tumor-induced and BM-derived MDSCs was entirely dependent on C/EBP transcription factor, a key component of the emergency myelopoiesis triggered by stress and inflammation. Adoptive transfer of tumor antigen-specific CD8+ T lymphocytes resulted in therapy of established tumors only in mice lacking C/EBP in myeloid compartment. These data unveil another link between inflammation and cancer and identify a novel molecular target to control tumor-induced immune suppression. We used gene expression analysis to identify those factors, secreted by tumor-infiltrating MDSC, which could drive emathopoiesis. Moreover we compare gene expression profile of tumor-induced MDSC, obtained from either the spleen and the tumor infiltrate of tumor bearing mice, and in vitro bone marrow-derived MDSC."}
{"STANDARD_NAME":"GSE21927_EL4_VS_MCA203_TUMOR_MONOCYTES_DN","SYSTEMATIC_NAME":"M7586","ORGANISM":"Mus musculus","PMID":"20605485","AUTHORS":"Marigo I,Bosio E,Solito S,Mesa C,Fernandez A,Dolcetti L,Ugel S,Sonda N,Bicciato S,Falisi E,Calabrese F,Basso G,Zanovello P,Cozzi E,Mandruzzato S,Bronte V","GEOID":"GSE21927","EXACT_SOURCE":"GSE21927_2527_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD11b EL4 Tumor from C57BL6 mouse versus CD11b MCA203 Tumor from C57BL6 mouse.","DESCRIPTION_FULL":"Tumor growth is associated with a profound alteration of myelopoiesis, leading to recruitment of immunosuppressive cells known as myeloid-derived suppressor cells (MDSCs). Analyzing the cytokines affecting myelo-monocytic differentiation produced by various experimental tumors, we found that GM-CSF, G-CSF, and IL-6 allowed a rapid generation of MDSCs from precursors present in mouse and human bone marrow (BM). BM-MDSCs induced by GM-CSF+IL-6 possessed the highest tolerogenic activity, as revealed by the ability to impair the priming of IFN- -producing CD8+ T cells upon in vivo adoptive transfer. Moreover, adoptive transfer of syngeneic, GM-CSF+IL-6-conditioned MDSCs to diabetic mice transplanted with allogeneic pancreatic islets resulted in long term acceptance of the allograft and correction of the diabetic status. Cytokines inducing MDSCs acted on a common molecular pathway. Immunoregulatory activity of both tumor-induced and BM-derived MDSCs was entirely dependent on C/EBP transcription factor, a key component of the emergency myelopoiesis triggered by stress and inflammation. Adoptive transfer of tumor antigen-specific CD8+ T lymphocytes resulted in therapy of established tumors only in mice lacking C/EBP in myeloid compartment. These data unveil another link between inflammation and cancer and identify a novel molecular target to control tumor-induced immune suppression. We used gene expression analysis to identify those factors, secreted by tumor-infiltrating MDSC, which could drive emathopoiesis. Moreover we compare gene expression profile of tumor-induced MDSC, obtained from either the spleen and the tumor infiltrate of tumor bearing mice, and in vitro bone marrow-derived MDSC."}
{"STANDARD_NAME":"GSE21927_SPLENIC_VS_TUMOR_MONOCYTES_FROM_C26GM_TUMOROUS_MICE_BALBC_UP","SYSTEMATIC_NAME":"M7587","ORGANISM":"Mus musculus","PMID":"20605485","AUTHORS":"Marigo I,Bosio E,Solito S,Mesa C,Fernandez A,Dolcetti L,Ugel S,Sonda N,Bicciato S,Falisi E,Calabrese F,Basso G,Zanovello P,Cozzi E,Mandruzzato S,Bronte V","GEOID":"GSE21927","EXACT_SOURCE":"GSE21927_2521_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD11b+ cells from BALB/c mice bearing C26GM colon carcinoma: spleen versus tumor.","DESCRIPTION_FULL":"Tumor growth is associated with a profound alteration of myelopoiesis, leading to recruitment of immunosuppressive cells known as myeloid-derived suppressor cells (MDSCs). Analyzing the cytokines affecting myelo-monocytic differentiation produced by various experimental tumors, we found that GM-CSF, G-CSF, and IL-6 allowed a rapid generation of MDSCs from precursors present in mouse and human bone marrow (BM). BM-MDSCs induced by GM-CSF+IL-6 possessed the highest tolerogenic activity, as revealed by the ability to impair the priming of IFN- -producing CD8+ T cells upon in vivo adoptive transfer. Moreover, adoptive transfer of syngeneic, GM-CSF+IL-6-conditioned MDSCs to diabetic mice transplanted with allogeneic pancreatic islets resulted in long term acceptance of the allograft and correction of the diabetic status. Cytokines inducing MDSCs acted on a common molecular pathway. Immunoregulatory activity of both tumor-induced and BM-derived MDSCs was entirely dependent on C/EBP transcription factor, a key component of the emergency myelopoiesis triggered by stress and inflammation. Adoptive transfer of tumor antigen-specific CD8+ T lymphocytes resulted in therapy of established tumors only in mice lacking C/EBP in myeloid compartment. These data unveil another link between inflammation and cancer and identify a novel molecular target to control tumor-induced immune suppression. We used gene expression analysis to identify those factors, secreted by tumor-infiltrating MDSC, which could drive emathopoiesis. Moreover we compare gene expression profile of tumor-induced MDSC, obtained from either the spleen and the tumor infiltrate of tumor bearing mice, and in vitro bone marrow-derived MDSC."}
{"STANDARD_NAME":"GSE21927_UNTREATED_VS_GMCSF_GCSF_TREATED_BONE_MARROW_UP","SYSTEMATIC_NAME":"M7588","ORGANISM":"Mus musculus","PMID":"20605485","AUTHORS":"Marigo I,Bosio E,Solito S,Mesa C,Fernandez A,Dolcetti L,Ugel S,Sonda N,Bicciato S,Falisi E,Calabrese F,Basso G,Zanovello P,Cozzi E,Mandruzzato S,Bronte V","GEOID":"GSE21927","EXACT_SOURCE":"GSE21927_2529_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD11b BoneMarrow from BALBc mouse versus CD11b BoneMarrow from BALBc mouse incubated with GMCSF and GCSF.","DESCRIPTION_FULL":"Tumor growth is associated with a profound alteration of myelopoiesis, leading to recruitment of immunosuppressive cells known as myeloid-derived suppressor cells (MDSCs). Analyzing the cytokines affecting myelo-monocytic differentiation produced by various experimental tumors, we found that GM-CSF, G-CSF, and IL-6 allowed a rapid generation of MDSCs from precursors present in mouse and human bone marrow (BM). BM-MDSCs induced by GM-CSF+IL-6 possessed the highest tolerogenic activity, as revealed by the ability to impair the priming of IFN- -producing CD8+ T cells upon in vivo adoptive transfer. Moreover, adoptive transfer of syngeneic, GM-CSF+IL-6-conditioned MDSCs to diabetic mice transplanted with allogeneic pancreatic islets resulted in long term acceptance of the allograft and correction of the diabetic status. Cytokines inducing MDSCs acted on a common molecular pathway. Immunoregulatory activity of both tumor-induced and BM-derived MDSCs was entirely dependent on C/EBP transcription factor, a key component of the emergency myelopoiesis triggered by stress and inflammation. Adoptive transfer of tumor antigen-specific CD8+ T lymphocytes resulted in therapy of established tumors only in mice lacking C/EBP in myeloid compartment. These data unveil another link between inflammation and cancer and identify a novel molecular target to control tumor-induced immune suppression. We used gene expression analysis to identify those factors, secreted by tumor-infiltrating MDSC, which could drive emathopoiesis. Moreover we compare gene expression profile of tumor-induced MDSC, obtained from either the spleen and the tumor infiltrate of tumor bearing mice, and in vitro bone marrow-derived MDSC."}
{"STANDARD_NAME":"GSE21927_SPLENIC_C26GM_TUMOROUS_VS_4T1_TUMOR_MONOCYTES_UP","SYSTEMATIC_NAME":"M7589","ORGANISM":"Mus musculus","PMID":"20605485","AUTHORS":"Marigo I,Bosio E,Solito S,Mesa C,Fernandez A,Dolcetti L,Ugel S,Sonda N,Bicciato S,Falisi E,Calabrese F,Basso G,Zanovello P,Cozzi E,Mandruzzato S,Bronte V","GEOID":"GSE21927","EXACT_SOURCE":"GSE21927_2522_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD11b+ cells from spleen of BALB/c mice bearing C26GM colon carcinoma versus CD11b+ cells from tumors of BALB/c mice bearing 4T1 mammary carcinoma.","DESCRIPTION_FULL":"Tumor growth is associated with a profound alteration of myelopoiesis, leading to recruitment of immunosuppressive cells known as myeloid-derived suppressor cells (MDSCs). Analyzing the cytokines affecting myelo-monocytic differentiation produced by various experimental tumors, we found that GM-CSF, G-CSF, and IL-6 allowed a rapid generation of MDSCs from precursors present in mouse and human bone marrow (BM). BM-MDSCs induced by GM-CSF+IL-6 possessed the highest tolerogenic activity, as revealed by the ability to impair the priming of IFN- -producing CD8+ T cells upon in vivo adoptive transfer. Moreover, adoptive transfer of syngeneic, GM-CSF+IL-6-conditioned MDSCs to diabetic mice transplanted with allogeneic pancreatic islets resulted in long term acceptance of the allograft and correction of the diabetic status. Cytokines inducing MDSCs acted on a common molecular pathway. Immunoregulatory activity of both tumor-induced and BM-derived MDSCs was entirely dependent on C/EBP transcription factor, a key component of the emergency myelopoiesis triggered by stress and inflammation. Adoptive transfer of tumor antigen-specific CD8+ T lymphocytes resulted in therapy of established tumors only in mice lacking C/EBP in myeloid compartment. These data unveil another link between inflammation and cancer and identify a novel molecular target to control tumor-induced immune suppression. We used gene expression analysis to identify those factors, secreted by tumor-infiltrating MDSC, which could drive emathopoiesis. Moreover we compare gene expression profile of tumor-induced MDSC, obtained from either the spleen and the tumor infiltrate of tumor bearing mice, and in vitro bone marrow-derived MDSC."}
{"STANDARD_NAME":"GSE21927_SPLENIC_C26GM_TUMOROUS_VS_4T1_TUMOR_MONOCYTES_DN","SYSTEMATIC_NAME":"M7590","ORGANISM":"Mus musculus","PMID":"20605485","AUTHORS":"Marigo I,Bosio E,Solito S,Mesa C,Fernandez A,Dolcetti L,Ugel S,Sonda N,Bicciato S,Falisi E,Calabrese F,Basso G,Zanovello P,Cozzi E,Mandruzzato S,Bronte V","GEOID":"GSE21927","EXACT_SOURCE":"GSE21927_2522_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD11b+ cells from spleen of BALB/c mice bearing C26GM colon carcinoma versus CD11b+ cells from tumors of BALB/c mice bearing 4T1 mammary carcinoma.","DESCRIPTION_FULL":"Tumor growth is associated with a profound alteration of myelopoiesis, leading to recruitment of immunosuppressive cells known as myeloid-derived suppressor cells (MDSCs). Analyzing the cytokines affecting myelo-monocytic differentiation produced by various experimental tumors, we found that GM-CSF, G-CSF, and IL-6 allowed a rapid generation of MDSCs from precursors present in mouse and human bone marrow (BM). BM-MDSCs induced by GM-CSF+IL-6 possessed the highest tolerogenic activity, as revealed by the ability to impair the priming of IFN- -producing CD8+ T cells upon in vivo adoptive transfer. Moreover, adoptive transfer of syngeneic, GM-CSF+IL-6-conditioned MDSCs to diabetic mice transplanted with allogeneic pancreatic islets resulted in long term acceptance of the allograft and correction of the diabetic status. Cytokines inducing MDSCs acted on a common molecular pathway. Immunoregulatory activity of both tumor-induced and BM-derived MDSCs was entirely dependent on C/EBP transcription factor, a key component of the emergency myelopoiesis triggered by stress and inflammation. Adoptive transfer of tumor antigen-specific CD8+ T lymphocytes resulted in therapy of established tumors only in mice lacking C/EBP in myeloid compartment. These data unveil another link between inflammation and cancer and identify a novel molecular target to control tumor-induced immune suppression. We used gene expression analysis to identify those factors, secreted by tumor-infiltrating MDSC, which could drive emathopoiesis. Moreover we compare gene expression profile of tumor-induced MDSC, obtained from either the spleen and the tumor infiltrate of tumor bearing mice, and in vitro bone marrow-derived MDSC."}
{"STANDARD_NAME":"GSE21927_SPLENIC_C26GM_TUMOROUS_VS_BONE_MARROW_MONOCYTES_UP","SYSTEMATIC_NAME":"M7592","ORGANISM":"Mus musculus","PMID":"20605485","AUTHORS":"Marigo I,Bosio E,Solito S,Mesa C,Fernandez A,Dolcetti L,Ugel S,Sonda N,Bicciato S,Falisi E,Calabrese F,Basso G,Zanovello P,Cozzi E,Mandruzzato S,Bronte V","GEOID":"GSE21927","EXACT_SOURCE":"GSE21927_2523_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD11b+ cells from spleen of BALB/c mice bearing C26GM colon carcinoma versus CD11b+ cells from bone marrow of healthy BALB/c mice.","DESCRIPTION_FULL":"Tumor growth is associated with a profound alteration of myelopoiesis, leading to recruitment of immunosuppressive cells known as myeloid-derived suppressor cells (MDSCs). Analyzing the cytokines affecting myelo-monocytic differentiation produced by various experimental tumors, we found that GM-CSF, G-CSF, and IL-6 allowed a rapid generation of MDSCs from precursors present in mouse and human bone marrow (BM). BM-MDSCs induced by GM-CSF+IL-6 possessed the highest tolerogenic activity, as revealed by the ability to impair the priming of IFN- -producing CD8+ T cells upon in vivo adoptive transfer. Moreover, adoptive transfer of syngeneic, GM-CSF+IL-6-conditioned MDSCs to diabetic mice transplanted with allogeneic pancreatic islets resulted in long term acceptance of the allograft and correction of the diabetic status. Cytokines inducing MDSCs acted on a common molecular pathway. Immunoregulatory activity of both tumor-induced and BM-derived MDSCs was entirely dependent on C/EBP transcription factor, a key component of the emergency myelopoiesis triggered by stress and inflammation. Adoptive transfer of tumor antigen-specific CD8+ T lymphocytes resulted in therapy of established tumors only in mice lacking C/EBP in myeloid compartment. These data unveil another link between inflammation and cancer and identify a novel molecular target to control tumor-induced immune suppression. We used gene expression analysis to identify those factors, secreted by tumor-infiltrating MDSC, which could drive emathopoiesis. Moreover we compare gene expression profile of tumor-induced MDSC, obtained from either the spleen and the tumor infiltrate of tumor bearing mice, and in vitro bone marrow-derived MDSC."}
{"STANDARD_NAME":"GSE21927_SPLENIC_C26GM_TUMOROUS_VS_BONE_MARROW_MONOCYTES_DN","SYSTEMATIC_NAME":"M7593","ORGANISM":"Mus musculus","PMID":"20605485","AUTHORS":"Marigo I,Bosio E,Solito S,Mesa C,Fernandez A,Dolcetti L,Ugel S,Sonda N,Bicciato S,Falisi E,Calabrese F,Basso G,Zanovello P,Cozzi E,Mandruzzato S,Bronte V","GEOID":"GSE21927","EXACT_SOURCE":"GSE21927_2523_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD11b+ cells from spleen of BALB/c mice bearing C26GM colon carcinoma versus CD11b+ cells from bone marrow of healthy BALB/c mice.","DESCRIPTION_FULL":"Tumor growth is associated with a profound alteration of myelopoiesis, leading to recruitment of immunosuppressive cells known as myeloid-derived suppressor cells (MDSCs). Analyzing the cytokines affecting myelo-monocytic differentiation produced by various experimental tumors, we found that GM-CSF, G-CSF, and IL-6 allowed a rapid generation of MDSCs from precursors present in mouse and human bone marrow (BM). BM-MDSCs induced by GM-CSF+IL-6 possessed the highest tolerogenic activity, as revealed by the ability to impair the priming of IFN- -producing CD8+ T cells upon in vivo adoptive transfer. Moreover, adoptive transfer of syngeneic, GM-CSF+IL-6-conditioned MDSCs to diabetic mice transplanted with allogeneic pancreatic islets resulted in long term acceptance of the allograft and correction of the diabetic status. Cytokines inducing MDSCs acted on a common molecular pathway. Immunoregulatory activity of both tumor-induced and BM-derived MDSCs was entirely dependent on C/EBP transcription factor, a key component of the emergency myelopoiesis triggered by stress and inflammation. Adoptive transfer of tumor antigen-specific CD8+ T lymphocytes resulted in therapy of established tumors only in mice lacking C/EBP in myeloid compartment. These data unveil another link between inflammation and cancer and identify a novel molecular target to control tumor-induced immune suppression. We used gene expression analysis to identify those factors, secreted by tumor-infiltrating MDSC, which could drive emathopoiesis. Moreover we compare gene expression profile of tumor-induced MDSC, obtained from either the spleen and the tumor infiltrate of tumor bearing mice, and in vitro bone marrow-derived MDSC."}
{"STANDARD_NAME":"GSE21927_SPLEEN_C57BL6_VS_4T1_TUMOR_BALBC_MONOCYTES_UP","SYSTEMATIC_NAME":"M7594","ORGANISM":"Mus musculus","PMID":"20605485","AUTHORS":"Marigo I,Bosio E,Solito S,Mesa C,Fernandez A,Dolcetti L,Ugel S,Sonda N,Bicciato S,Falisi E,Calabrese F,Basso G,Zanovello P,Cozzi E,Mandruzzato S,Bronte V","GEOID":"GSE21927","EXACT_SOURCE":"GSE21927_2524_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD11b+ cells from spleen of healthy C57BL6 mice versus CD11b+ cells from tumor infiltrating monocytes of BALB/c mice bearing 4T1 mammary carcinoma.","DESCRIPTION_FULL":"Tumor growth is associated with a profound alteration of myelopoiesis, leading to recruitment of immunosuppressive cells known as myeloid-derived suppressor cells (MDSCs). Analyzing the cytokines affecting myelo-monocytic differentiation produced by various experimental tumors, we found that GM-CSF, G-CSF, and IL-6 allowed a rapid generation of MDSCs from precursors present in mouse and human bone marrow (BM). BM-MDSCs induced by GM-CSF+IL-6 possessed the highest tolerogenic activity, as revealed by the ability to impair the priming of IFN- -producing CD8+ T cells upon in vivo adoptive transfer. Moreover, adoptive transfer of syngeneic, GM-CSF+IL-6-conditioned MDSCs to diabetic mice transplanted with allogeneic pancreatic islets resulted in long term acceptance of the allograft and correction of the diabetic status. Cytokines inducing MDSCs acted on a common molecular pathway. Immunoregulatory activity of both tumor-induced and BM-derived MDSCs was entirely dependent on C/EBP transcription factor, a key component of the emergency myelopoiesis triggered by stress and inflammation. Adoptive transfer of tumor antigen-specific CD8+ T lymphocytes resulted in therapy of established tumors only in mice lacking C/EBP in myeloid compartment. These data unveil another link between inflammation and cancer and identify a novel molecular target to control tumor-induced immune suppression. We used gene expression analysis to identify those factors, secreted by tumor-infiltrating MDSC, which could drive emathopoiesis. Moreover we compare gene expression profile of tumor-induced MDSC, obtained from either the spleen and the tumor infiltrate of tumor bearing mice, and in vitro bone marrow-derived MDSC."}
{"STANDARD_NAME":"GSE21927_SPLEEN_C57BL6_VS_4T1_TUMOR_BALBC_MONOCYTES_DN","SYSTEMATIC_NAME":"M7595","ORGANISM":"Mus musculus","PMID":"20605485","AUTHORS":"Marigo I,Bosio E,Solito S,Mesa C,Fernandez A,Dolcetti L,Ugel S,Sonda N,Bicciato S,Falisi E,Calabrese F,Basso G,Zanovello P,Cozzi E,Mandruzzato S,Bronte V","GEOID":"GSE21927","EXACT_SOURCE":"GSE21927_2524_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD11b+ cells from spleen of healthy C57BL6 mice versus CD11b+ cells from tumor infiltrating monocytes of BALB/c mice bearing 4T1 mammary carcinoma.","DESCRIPTION_FULL":"Tumor growth is associated with a profound alteration of myelopoiesis, leading to recruitment of immunosuppressive cells known as myeloid-derived suppressor cells (MDSCs). Analyzing the cytokines affecting myelo-monocytic differentiation produced by various experimental tumors, we found that GM-CSF, G-CSF, and IL-6 allowed a rapid generation of MDSCs from precursors present in mouse and human bone marrow (BM). BM-MDSCs induced by GM-CSF+IL-6 possessed the highest tolerogenic activity, as revealed by the ability to impair the priming of IFN- -producing CD8+ T cells upon in vivo adoptive transfer. Moreover, adoptive transfer of syngeneic, GM-CSF+IL-6-conditioned MDSCs to diabetic mice transplanted with allogeneic pancreatic islets resulted in long term acceptance of the allograft and correction of the diabetic status. Cytokines inducing MDSCs acted on a common molecular pathway. Immunoregulatory activity of both tumor-induced and BM-derived MDSCs was entirely dependent on C/EBP transcription factor, a key component of the emergency myelopoiesis triggered by stress and inflammation. Adoptive transfer of tumor antigen-specific CD8+ T lymphocytes resulted in therapy of established tumors only in mice lacking C/EBP in myeloid compartment. These data unveil another link between inflammation and cancer and identify a novel molecular target to control tumor-induced immune suppression. We used gene expression analysis to identify those factors, secreted by tumor-infiltrating MDSC, which could drive emathopoiesis. Moreover we compare gene expression profile of tumor-induced MDSC, obtained from either the spleen and the tumor infiltrate of tumor bearing mice, and in vitro bone marrow-derived MDSC."}
{"STANDARD_NAME":"GSE21927_SPLEEN_C57BL6_VS_EL4_TUMOR_BALBC_MONOCYTES_UP","SYSTEMATIC_NAME":"M7596","ORGANISM":"Mus musculus","PMID":"20605485","AUTHORS":"Marigo I,Bosio E,Solito S,Mesa C,Fernandez A,Dolcetti L,Ugel S,Sonda N,Bicciato S,Falisi E,Calabrese F,Basso G,Zanovello P,Cozzi E,Mandruzzato S,Bronte V","GEOID":"GSE21927","EXACT_SOURCE":"GSE21927_2525_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD11b+ from spleen of healthy C57BL6 versus CD11b+ cells from tumors of C57BL6 mice bearing EL4 lymphoma.","DESCRIPTION_FULL":"Tumor growth is associated with a profound alteration of myelopoiesis, leading to recruitment of immunosuppressive cells known as myeloid-derived suppressor cells (MDSCs). Analyzing the cytokines affecting myelo-monocytic differentiation produced by various experimental tumors, we found that GM-CSF, G-CSF, and IL-6 allowed a rapid generation of MDSCs from precursors present in mouse and human bone marrow (BM). BM-MDSCs induced by GM-CSF+IL-6 possessed the highest tolerogenic activity, as revealed by the ability to impair the priming of IFN- -producing CD8+ T cells upon in vivo adoptive transfer. Moreover, adoptive transfer of syngeneic, GM-CSF+IL-6-conditioned MDSCs to diabetic mice transplanted with allogeneic pancreatic islets resulted in long term acceptance of the allograft and correction of the diabetic status. Cytokines inducing MDSCs acted on a common molecular pathway. Immunoregulatory activity of both tumor-induced and BM-derived MDSCs was entirely dependent on C/EBP transcription factor, a key component of the emergency myelopoiesis triggered by stress and inflammation. Adoptive transfer of tumor antigen-specific CD8+ T lymphocytes resulted in therapy of established tumors only in mice lacking C/EBP in myeloid compartment. These data unveil another link between inflammation and cancer and identify a novel molecular target to control tumor-induced immune suppression. We used gene expression analysis to identify those factors, secreted by tumor-infiltrating MDSC, which could drive emathopoiesis. Moreover we compare gene expression profile of tumor-induced MDSC, obtained from either the spleen and the tumor infiltrate of tumor bearing mice, and in vitro bone marrow-derived MDSC."}
{"STANDARD_NAME":"GSE21927_SPLEEN_C57BL6_VS_EL4_TUMOR_BALBC_MONOCYTES_DN","SYSTEMATIC_NAME":"M7599","ORGANISM":"Mus musculus","PMID":"20605485","AUTHORS":"Marigo I,Bosio E,Solito S,Mesa C,Fernandez A,Dolcetti L,Ugel S,Sonda N,Bicciato S,Falisi E,Calabrese F,Basso G,Zanovello P,Cozzi E,Mandruzzato S,Bronte V","GEOID":"GSE21927","EXACT_SOURCE":"GSE21927_2525_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD11b+ from spleen of healthy C57BL6 versus CD11b+ cells from tumors of C57BL6 mice bearing EL4 lymphoma.","DESCRIPTION_FULL":"Tumor growth is associated with a profound alteration of myelopoiesis, leading to recruitment of immunosuppressive cells known as myeloid-derived suppressor cells (MDSCs). Analyzing the cytokines affecting myelo-monocytic differentiation produced by various experimental tumors, we found that GM-CSF, G-CSF, and IL-6 allowed a rapid generation of MDSCs from precursors present in mouse and human bone marrow (BM). BM-MDSCs induced by GM-CSF+IL-6 possessed the highest tolerogenic activity, as revealed by the ability to impair the priming of IFN- -producing CD8+ T cells upon in vivo adoptive transfer. Moreover, adoptive transfer of syngeneic, GM-CSF+IL-6-conditioned MDSCs to diabetic mice transplanted with allogeneic pancreatic islets resulted in long term acceptance of the allograft and correction of the diabetic status. Cytokines inducing MDSCs acted on a common molecular pathway. Immunoregulatory activity of both tumor-induced and BM-derived MDSCs was entirely dependent on C/EBP transcription factor, a key component of the emergency myelopoiesis triggered by stress and inflammation. Adoptive transfer of tumor antigen-specific CD8+ T lymphocytes resulted in therapy of established tumors only in mice lacking C/EBP in myeloid compartment. These data unveil another link between inflammation and cancer and identify a novel molecular target to control tumor-induced immune suppression. We used gene expression analysis to identify those factors, secreted by tumor-infiltrating MDSC, which could drive emathopoiesis. Moreover we compare gene expression profile of tumor-induced MDSC, obtained from either the spleen and the tumor infiltrate of tumor bearing mice, and in vitro bone marrow-derived MDSC."}
{"STANDARD_NAME":"GSE21927_SPLENIC_VS_TUMOR_MONOCYTES_FROM_C26GM_TUMOROUS_MICE_BALBC_DN","SYSTEMATIC_NAME":"M7605","ORGANISM":"Mus musculus","PMID":"20605485","AUTHORS":"Marigo I,Bosio E,Solito S,Mesa C,Fernandez A,Dolcetti L,Ugel S,Sonda N,Bicciato S,Falisi E,Calabrese F,Basso G,Zanovello P,Cozzi E,Mandruzzato S,Bronte V","GEOID":"GSE21927","EXACT_SOURCE":"GSE21927_2521_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD11b+ cells from BALB/c mice bearing C26GM colon carcinoma: spleen versus tumor.","DESCRIPTION_FULL":"Tumor growth is associated with a profound alteration of myelopoiesis, leading to recruitment of immunosuppressive cells known as myeloid-derived suppressor cells (MDSCs). Analyzing the cytokines affecting myelo-monocytic differentiation produced by various experimental tumors, we found that GM-CSF, G-CSF, and IL-6 allowed a rapid generation of MDSCs from precursors present in mouse and human bone marrow (BM). BM-MDSCs induced by GM-CSF+IL-6 possessed the highest tolerogenic activity, as revealed by the ability to impair the priming of IFN- -producing CD8+ T cells upon in vivo adoptive transfer. Moreover, adoptive transfer of syngeneic, GM-CSF+IL-6-conditioned MDSCs to diabetic mice transplanted with allogeneic pancreatic islets resulted in long term acceptance of the allograft and correction of the diabetic status. Cytokines inducing MDSCs acted on a common molecular pathway. Immunoregulatory activity of both tumor-induced and BM-derived MDSCs was entirely dependent on C/EBP transcription factor, a key component of the emergency myelopoiesis triggered by stress and inflammation. Adoptive transfer of tumor antigen-specific CD8+ T lymphocytes resulted in therapy of established tumors only in mice lacking C/EBP in myeloid compartment. These data unveil another link between inflammation and cancer and identify a novel molecular target to control tumor-induced immune suppression. We used gene expression analysis to identify those factors, secreted by tumor-infiltrating MDSC, which could drive emathopoiesis. Moreover we compare gene expression profile of tumor-induced MDSC, obtained from either the spleen and the tumor infiltrate of tumor bearing mice, and in vitro bone marrow-derived MDSC."}
{"STANDARD_NAME":"GSE21927_BALBC_VS_C57BL6_MONOCYTE_TUMOR_UP","SYSTEMATIC_NAME":"M7606","ORGANISM":"Mus musculus","PMID":"20605485","AUTHORS":"Marigo I,Bosio E,Solito S,Mesa C,Fernandez A,Dolcetti L,Ugel S,Sonda N,Bicciato S,Falisi E,Calabrese F,Basso G,Zanovello P,Cozzi E,Mandruzzato S,Bronte V","GEOID":"GSE21927","EXACT_SOURCE":"GSE21927_2531_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD11b Tumor from BALBc mouse versus CD11b Tumor from C57BL6 mouse.","DESCRIPTION_FULL":"Tumor growth is associated with a profound alteration of myelopoiesis, leading to recruitment of immunosuppressive cells known as myeloid-derived suppressor cells (MDSCs). Analyzing the cytokines affecting myelo-monocytic differentiation produced by various experimental tumors, we found that GM-CSF, G-CSF, and IL-6 allowed a rapid generation of MDSCs from precursors present in mouse and human bone marrow (BM). BM-MDSCs induced by GM-CSF+IL-6 possessed the highest tolerogenic activity, as revealed by the ability to impair the priming of IFN- -producing CD8+ T cells upon in vivo adoptive transfer. Moreover, adoptive transfer of syngeneic, GM-CSF+IL-6-conditioned MDSCs to diabetic mice transplanted with allogeneic pancreatic islets resulted in long term acceptance of the allograft and correction of the diabetic status. Cytokines inducing MDSCs acted on a common molecular pathway. Immunoregulatory activity of both tumor-induced and BM-derived MDSCs was entirely dependent on C/EBP transcription factor, a key component of the emergency myelopoiesis triggered by stress and inflammation. Adoptive transfer of tumor antigen-specific CD8+ T lymphocytes resulted in therapy of established tumors only in mice lacking C/EBP in myeloid compartment. These data unveil another link between inflammation and cancer and identify a novel molecular target to control tumor-induced immune suppression. We used gene expression analysis to identify those factors, secreted by tumor-infiltrating MDSC, which could drive emathopoiesis. Moreover we compare gene expression profile of tumor-induced MDSC, obtained from either the spleen and the tumor infiltrate of tumor bearing mice, and in vitro bone marrow-derived MDSC."}
{"STANDARD_NAME":"GSE21927_C26GM_VS_4T1_TUMOR_MONOCYTE_BALBC_DN","SYSTEMATIC_NAME":"M7607","ORGANISM":"Mus musculus","PMID":"20605485","AUTHORS":"Marigo I,Bosio E,Solito S,Mesa C,Fernandez A,Dolcetti L,Ugel S,Sonda N,Bicciato S,Falisi E,Calabrese F,Basso G,Zanovello P,Cozzi E,Mandruzzato S,Bronte V","GEOID":"GSE21927","EXACT_SOURCE":"GSE21927_2520_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD11b+ cells from BALB/c mice bearing: C26GM colon carcinoma versus 4T1 mammary carcinoma.","DESCRIPTION_FULL":"Tumor growth is associated with a profound alteration of myelopoiesis, leading to recruitment of immunosuppressive cells known as myeloid-derived suppressor cells (MDSCs). Analyzing the cytokines affecting myelo-monocytic differentiation produced by various experimental tumors, we found that GM-CSF, G-CSF, and IL-6 allowed a rapid generation of MDSCs from precursors present in mouse and human bone marrow (BM). BM-MDSCs induced by GM-CSF+IL-6 possessed the highest tolerogenic activity, as revealed by the ability to impair the priming of IFN- -producing CD8+ T cells upon in vivo adoptive transfer. Moreover, adoptive transfer of syngeneic, GM-CSF+IL-6-conditioned MDSCs to diabetic mice transplanted with allogeneic pancreatic islets resulted in long term acceptance of the allograft and correction of the diabetic status. Cytokines inducing MDSCs acted on a common molecular pathway. Immunoregulatory activity of both tumor-induced and BM-derived MDSCs was entirely dependent on C/EBP transcription factor, a key component of the emergency myelopoiesis triggered by stress and inflammation. Adoptive transfer of tumor antigen-specific CD8+ T lymphocytes resulted in therapy of established tumors only in mice lacking C/EBP in myeloid compartment. These data unveil another link between inflammation and cancer and identify a novel molecular target to control tumor-induced immune suppression. We used gene expression analysis to identify those factors, secreted by tumor-infiltrating MDSC, which could drive emathopoiesis. Moreover we compare gene expression profile of tumor-induced MDSC, obtained from either the spleen and the tumor infiltrate of tumor bearing mice, and in vitro bone marrow-derived MDSC."}
{"STANDARD_NAME":"GSE21927_GMCSF_IL6_VS_GMCSF_GCSF_TREATED_BONE_MARROW_DN","SYSTEMATIC_NAME":"M7609","ORGANISM":"Mus musculus","PMID":"20605485","AUTHORS":"Marigo I,Bosio E,Solito S,Mesa C,Fernandez A,Dolcetti L,Ugel S,Sonda N,Bicciato S,Falisi E,Calabrese F,Basso G,Zanovello P,Cozzi E,Mandruzzato S,Bronte V","GEOID":"GSE21927","EXACT_SOURCE":"GSE21927_2530_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD11b BoneMarrow from BALBc mouse incubated with GMCSF and IL-6 versus CD11b BoneMarrow from BALBc mouse incubated with GMCSF and GCSF.","DESCRIPTION_FULL":"Tumor growth is associated with a profound alteration of myelopoiesis, leading to recruitment of immunosuppressive cells known as myeloid-derived suppressor cells (MDSCs). Analyzing the cytokines affecting myelo-monocytic differentiation produced by various experimental tumors, we found that GM-CSF, G-CSF, and IL-6 allowed a rapid generation of MDSCs from precursors present in mouse and human bone marrow (BM). BM-MDSCs induced by GM-CSF+IL-6 possessed the highest tolerogenic activity, as revealed by the ability to impair the priming of IFN- -producing CD8+ T cells upon in vivo adoptive transfer. Moreover, adoptive transfer of syngeneic, GM-CSF+IL-6-conditioned MDSCs to diabetic mice transplanted with allogeneic pancreatic islets resulted in long term acceptance of the allograft and correction of the diabetic status. Cytokines inducing MDSCs acted on a common molecular pathway. Immunoregulatory activity of both tumor-induced and BM-derived MDSCs was entirely dependent on C/EBP transcription factor, a key component of the emergency myelopoiesis triggered by stress and inflammation. Adoptive transfer of tumor antigen-specific CD8+ T lymphocytes resulted in therapy of established tumors only in mice lacking C/EBP in myeloid compartment. These data unveil another link between inflammation and cancer and identify a novel molecular target to control tumor-induced immune suppression. We used gene expression analysis to identify those factors, secreted by tumor-infiltrating MDSC, which could drive emathopoiesis. Moreover we compare gene expression profile of tumor-induced MDSC, obtained from either the spleen and the tumor infiltrate of tumor bearing mice, and in vitro bone marrow-derived MDSC."}
{"STANDARD_NAME":"GSE21360_PRIMARY_VS_QUATERNARY_MEMORY_CD8_TCELL_DN","SYSTEMATIC_NAME":"M7610","ORGANISM":"Mus musculus","PMID":"20619696","AUTHORS":"Wirth TC,Xue HH,Rai D,Sabel JT,Bair T,Harty JT,Badovinac VP","GEOID":"GSE21360","EXACT_SOURCE":"GSE21360_1269_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in memory CD8 T cells: 1' versus 4'.","DESCRIPTION_FULL":"The transcriptome of naive OT-I T cells was compared to memory CD8 T cells after 1, 2, 3, or 4 infection with ovalbumin expressing Listeria monocytogenes (LM-OVA)."}
{"STANDARD_NAME":"GSE21360_SECONDARY_VS_TERTIARY_MEMORY_CD8_TCELL_UP","SYSTEMATIC_NAME":"M7611","ORGANISM":"Mus musculus","PMID":"20619696","AUTHORS":"Wirth TC,Xue HH,Rai D,Sabel JT,Bair T,Harty JT,Badovinac VP","GEOID":"GSE21360","EXACT_SOURCE":"GSE21360_1270_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in memory CD8 T cells: 2' versus 3'.","DESCRIPTION_FULL":"The transcriptome of naive OT-I T cells was compared to memory CD8 T cells after 1, 2, 3, or 4 infection with ovalbumin expressing Listeria monocytogenes (LM-OVA)."}
{"STANDARD_NAME":"GSE21360_NAIVE_VS_TERTIARY_MEMORY_CD8_TCELL_DN","SYSTEMATIC_NAME":"M7612","ORGANISM":"Mus musculus","PMID":"20619696","AUTHORS":"Wirth TC,Xue HH,Rai D,Sabel JT,Bair T,Harty JT,Badovinac VP","GEOID":"GSE21360","EXACT_SOURCE":"GSE21360_1265_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD8 T cells: naïve versus 3' memory.","DESCRIPTION_FULL":"The transcriptome of naive OT-I T cells was compared to memory CD8 T cells after 1, 2, 3, or 4 infection with ovalbumin expressing Listeria monocytogenes (LM-OVA)."}
{"STANDARD_NAME":"GSE21360_NAIVE_VS_QUATERNARY_MEMORY_CD8_TCELL_UP","SYSTEMATIC_NAME":"M7613","ORGANISM":"Mus musculus","PMID":"20619696","AUTHORS":"Wirth TC,Xue HH,Rai D,Sabel JT,Bair T,Harty JT,Badovinac VP","GEOID":"GSE21360","EXACT_SOURCE":"GSE21360_1266_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated inCD8 T cells: naïve versus 4' memory.","DESCRIPTION_FULL":"The transcriptome of naive OT-I T cells was compared to memory CD8 T cells after 1, 2, 3, or 4 infection with ovalbumin expressing Listeria monocytogenes (LM-OVA)."}
{"STANDARD_NAME":"GSE21360_NAIVE_VS_TERTIARY_MEMORY_CD8_TCELL_UP","SYSTEMATIC_NAME":"M7616","ORGANISM":"Mus musculus","PMID":"20619696","AUTHORS":"Wirth TC,Xue HH,Rai D,Sabel JT,Bair T,Harty JT,Badovinac VP","GEOID":"GSE21360","EXACT_SOURCE":"GSE21360_1265_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD8 T cells: naïve versus 3' memory.","DESCRIPTION_FULL":"The transcriptome of naive OT-I T cells was compared to memory CD8 T cells after 1, 2, 3, or 4 infection with ovalbumin expressing Listeria monocytogenes (LM-OVA)."}
{"STANDARD_NAME":"GSE21360_NAIVE_VS_QUATERNARY_MEMORY_CD8_TCELL_DN","SYSTEMATIC_NAME":"M7618","ORGANISM":"Mus musculus","PMID":"20619696","AUTHORS":"Wirth TC,Xue HH,Rai D,Sabel JT,Bair T,Harty JT,Badovinac VP","GEOID":"GSE21360","EXACT_SOURCE":"GSE21360_1266_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated inCD8 T cells: naïve versus 4' memory.","DESCRIPTION_FULL":"The transcriptome of naive OT-I T cells was compared to memory CD8 T cells after 1, 2, 3, or 4 infection with ovalbumin expressing Listeria monocytogenes (LM-OVA)."}
{"STANDARD_NAME":"GSE21360_PRIMARY_VS_SECONDARY_MEMORY_CD8_TCELL_UP","SYSTEMATIC_NAME":"M7619","ORGANISM":"Mus musculus","PMID":"20619696","AUTHORS":"Wirth TC,Xue HH,Rai D,Sabel JT,Bair T,Harty JT,Badovinac VP","GEOID":"GSE21360","EXACT_SOURCE":"GSE21360_1267_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in 1'Memory CD8T versus 2'Memory CD8T.","DESCRIPTION_FULL":"The transcriptome of naive OT-I T cells was compared to memory CD8 T cells after 1, 2, 3, or 4 infection with ovalbumin expressing Listeria monocytogenes (LM-OVA)."}
{"STANDARD_NAME":"GSE21360_PRIMARY_VS_SECONDARY_MEMORY_CD8_TCELL_DN","SYSTEMATIC_NAME":"M7620","ORGANISM":"Mus musculus","PMID":"20619696","AUTHORS":"Wirth TC,Xue HH,Rai D,Sabel JT,Bair T,Harty JT,Badovinac VP","GEOID":"GSE21360","EXACT_SOURCE":"GSE21360_1267_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in 1'Memory CD8T versus 2'Memory CD8T.","DESCRIPTION_FULL":"The transcriptome of naive OT-I T cells was compared to memory CD8 T cells after 1, 2, 3, or 4 infection with ovalbumin expressing Listeria monocytogenes (LM-OVA)."}
{"STANDARD_NAME":"GSE21360_SECONDARY_VS_TERTIARY_MEMORY_CD8_TCELL_DN","SYSTEMATIC_NAME":"M7621","ORGANISM":"Mus musculus","PMID":"20619696","AUTHORS":"Wirth TC,Xue HH,Rai D,Sabel JT,Bair T,Harty JT,Badovinac VP","GEOID":"GSE21360","EXACT_SOURCE":"GSE21360_1270_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in memory CD8 T cells: 2' versus 3'.","DESCRIPTION_FULL":"The transcriptome of naive OT-I T cells was compared to memory CD8 T cells after 1, 2, 3, or 4 infection with ovalbumin expressing Listeria monocytogenes (LM-OVA)."}
{"STANDARD_NAME":"GSE21360_SECONDARY_VS_QUATERNARY_MEMORY_CD8_TCELL_UP","SYSTEMATIC_NAME":"M7624","ORGANISM":"Mus musculus","PMID":"20619696","AUTHORS":"Wirth TC,Xue HH,Rai D,Sabel JT,Bair T,Harty JT,Badovinac VP","GEOID":"GSE21360","EXACT_SOURCE":"GSE21360_1271_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in memory CD8 T cells: 2' versus 4'.","DESCRIPTION_FULL":"The transcriptome of naive OT-I T cells was compared to memory CD8 T cells after 1, 2, 3, or 4 infection with ovalbumin expressing Listeria monocytogenes (LM-OVA)."}
{"STANDARD_NAME":"GSE21360_PRIMARY_VS_QUATERNARY_MEMORY_CD8_TCELL_UP","SYSTEMATIC_NAME":"M7625","ORGANISM":"Mus musculus","PMID":"20619696","AUTHORS":"Wirth TC,Xue HH,Rai D,Sabel JT,Bair T,Harty JT,Badovinac VP","GEOID":"GSE21360","EXACT_SOURCE":"GSE21360_1269_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in memory CD8 T cells: 1' versus 4'.","DESCRIPTION_FULL":"The transcriptome of naive OT-I T cells was compared to memory CD8 T cells after 1, 2, 3, or 4 infection with ovalbumin expressing Listeria monocytogenes (LM-OVA)."}
{"STANDARD_NAME":"GSE21360_NAIVE_VS_PRIMARY_MEMORY_CD8_TCELL_UP","SYSTEMATIC_NAME":"M7626","ORGANISM":"Mus musculus","PMID":"20619696","AUTHORS":"Wirth TC,Xue HH,Rai D,Sabel JT,Bair T,Harty JT,Badovinac VP","GEOID":"GSE21360","EXACT_SOURCE":"GSE21360_1263_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD8 T cells: naïve versus 1' memory.","DESCRIPTION_FULL":"The transcriptome of naive OT-I T cells was compared to memory CD8 T cells after 1, 2, 3, or 4 infection with ovalbumin expressing Listeria monocytogenes (LM-OVA)."}
{"STANDARD_NAME":"GSE21360_NAIVE_VS_PRIMARY_MEMORY_CD8_TCELL_DN","SYSTEMATIC_NAME":"M7627","ORGANISM":"Mus musculus","PMID":"20619696","AUTHORS":"Wirth TC,Xue HH,Rai D,Sabel JT,Bair T,Harty JT,Badovinac VP","GEOID":"GSE21360","EXACT_SOURCE":"GSE21360_1263_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD8 T cells: naïve versus 1' memory.","DESCRIPTION_FULL":"The transcriptome of naive OT-I T cells was compared to memory CD8 T cells after 1, 2, 3, or 4 infection with ovalbumin expressing Listeria monocytogenes (LM-OVA)."}
{"STANDARD_NAME":"GSE21360_NAIVE_VS_SECONDARY_MEMORY_CD8_TCELL_UP","SYSTEMATIC_NAME":"M7631","ORGANISM":"Mus musculus","PMID":"20619696","AUTHORS":"Wirth TC,Xue HH,Rai D,Sabel JT,Bair T,Harty JT,Badovinac VP","GEOID":"GSE21360","EXACT_SOURCE":"GSE21360_1264_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD8 T cells: naïve versus 2' memory.","DESCRIPTION_FULL":"The transcriptome of naive OT-I T cells was compared to memory CD8 T cells after 1, 2, 3, or 4 infection with ovalbumin expressing Listeria monocytogenes (LM-OVA)."}
{"STANDARD_NAME":"GSE21360_NAIVE_VS_SECONDARY_MEMORY_CD8_TCELL_DN","SYSTEMATIC_NAME":"M7632","ORGANISM":"Mus musculus","PMID":"20619696","AUTHORS":"Wirth TC,Xue HH,Rai D,Sabel JT,Bair T,Harty JT,Badovinac VP","GEOID":"GSE21360","EXACT_SOURCE":"GSE21360_1264_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD8 T cells: naïve versus 2' memory.","DESCRIPTION_FULL":"The transcriptome of naive OT-I T cells was compared to memory CD8 T cells after 1, 2, 3, or 4 infection with ovalbumin expressing Listeria monocytogenes (LM-OVA)."}
{"STANDARD_NAME":"GSE21360_SECONDARY_VS_QUATERNARY_MEMORY_CD8_TCELL_DN","SYSTEMATIC_NAME":"M7633","ORGANISM":"Mus musculus","PMID":"20619696","AUTHORS":"Wirth TC,Xue HH,Rai D,Sabel JT,Bair T,Harty JT,Badovinac VP","GEOID":"GSE21360","EXACT_SOURCE":"GSE21360_1271_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in memory CD8 T cells: 2' versus 4'.","DESCRIPTION_FULL":"The transcriptome of naive OT-I T cells was compared to memory CD8 T cells after 1, 2, 3, or 4 infection with ovalbumin expressing Listeria monocytogenes (LM-OVA)."}
{"STANDARD_NAME":"GSE21360_TERTIARY_VS_QUATERNARY_MEMORY_CD8_TCELL_UP","SYSTEMATIC_NAME":"M7635","ORGANISM":"Mus musculus","PMID":"20619696","AUTHORS":"Wirth TC,Xue HH,Rai D,Sabel JT,Bair T,Harty JT,Badovinac VP","GEOID":"GSE21360","EXACT_SOURCE":"GSE21360_1272_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in memory CD8 T cells: 3' versus 4'.","DESCRIPTION_FULL":"The transcriptome of naive OT-I T cells was compared to memory CD8 T cells after 1, 2, 3, or 4 infection with ovalbumin expressing Listeria monocytogenes (LM-OVA)."}
{"STANDARD_NAME":"GSE21360_TERTIARY_VS_QUATERNARY_MEMORY_CD8_TCELL_DN","SYSTEMATIC_NAME":"M7637","ORGANISM":"Mus musculus","PMID":"20619696","AUTHORS":"Wirth TC,Xue HH,Rai D,Sabel JT,Bair T,Harty JT,Badovinac VP","GEOID":"GSE21360","EXACT_SOURCE":"GSE21360_1272_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in memory CD8 T cells: 3' versus 4'.","DESCRIPTION_FULL":"The transcriptome of naive OT-I T cells was compared to memory CD8 T cells after 1, 2, 3, or 4 infection with ovalbumin expressing Listeria monocytogenes (LM-OVA)."}
{"STANDARD_NAME":"GSE21360_PRIMARY_VS_TERTIARY_MEMORY_CD8_TCELL_UP","SYSTEMATIC_NAME":"M7640","ORGANISM":"Mus musculus","PMID":"20619696","AUTHORS":"Wirth TC,Xue HH,Rai D,Sabel JT,Bair T,Harty JT,Badovinac VP","GEOID":"GSE21360","EXACT_SOURCE":"GSE21360_1268_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in memory CD8 T cells: 1' versus 3'.","DESCRIPTION_FULL":"The transcriptome of naive OT-I T cells was compared to memory CD8 T cells after 1, 2, 3, or 4 infection with ovalbumin expressing Listeria monocytogenes (LM-OVA)."}
{"STANDARD_NAME":"GSE21360_PRIMARY_VS_TERTIARY_MEMORY_CD8_TCELL_DN","SYSTEMATIC_NAME":"M7642","ORGANISM":"Mus musculus","PMID":"20619696","AUTHORS":"Wirth TC,Xue HH,Rai D,Sabel JT,Bair T,Harty JT,Badovinac VP","GEOID":"GSE21360","EXACT_SOURCE":"GSE21360_1268_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in memory CD8 T cells: 1' versus 3'.","DESCRIPTION_FULL":"The transcriptome of naive OT-I T cells was compared to memory CD8 T cells after 1, 2, 3, or 4 infection with ovalbumin expressing Listeria monocytogenes (LM-OVA)."}
{"STANDARD_NAME":"GSE22140_GERMFREE_VS_SPF_MOUSE_CD4_TCELL_DN","SYSTEMATIC_NAME":"M7644","ORGANISM":"Mus musculus","PMID":"20620945","AUTHORS":"Wu HJ,Ivanov II,Darce J,Hattori K,Shima T,Umesaki Y,Littman DR,Benoist C,Mathis D","GEOID":"GSE22140","EXACT_SOURCE":"GSE22140_2813_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in healthy CD4 [GeneID=920] T cells: germ free versus specific pathogen free.","DESCRIPTION_FULL":"A general defect of GF K/BxN T cell proliferation response toward antigen motivated us to look for the impairment in GF K/BxN T cells that might leads to the low Ab production and reduced disease phenotype seen in GF K/BxN mice. To find the difference between GF and SPF K/BxN T cells in a broad and non-biased fashion, we performed gene-expression profiling of these cells using microarrays."}
{"STANDARD_NAME":"GSE22140_GERMFREE_VS_SPF_ARTHRITIC_MOUSE_CD4_TCELL_DN","SYSTEMATIC_NAME":"M7645","ORGANISM":"Mus musculus","PMID":"20620945","AUTHORS":"Wu HJ,Ivanov II,Darce J,Hattori K,Shima T,Umesaki Y,Littman DR,Benoist C,Mathis D","GEOID":"GSE22140","EXACT_SOURCE":"GSE22140_2815_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in arthritic (KRN model) CD4 [GeneID=920] T cells: germ free versus specific pathogen free conditions.","DESCRIPTION_FULL":"A general defect of GF K/BxN T cell proliferation response toward antigen motivated us to look for the impairment in GF K/BxN T cells that might leads to the low Ab production and reduced disease phenotype seen in GF K/BxN mice. To find the difference between GF and SPF K/BxN T cells in a broad and non-biased fashion, we performed gene-expression profiling of these cells using microarrays."}
{"STANDARD_NAME":"GSE22140_HEALTHY_VS_ARTHRITIC_GERMFREE_MOUSE_CD4_TCELL_DN","SYSTEMATIC_NAME":"M7646","ORGANISM":"Mus musculus","PMID":"20620945","AUTHORS":"Wu HJ,Ivanov II,Darce J,Hattori K,Shima T,Umesaki Y,Littman DR,Benoist C,Mathis D","GEOID":"GSE22140","EXACT_SOURCE":"GSE22140_2812_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells under germ free conditions: healthy versus arthritis (KRN model).","DESCRIPTION_FULL":"A general defect of GF K/BxN T cell proliferation response toward antigen motivated us to look for the impairment in GF K/BxN T cells that might leads to the low Ab production and reduced disease phenotype seen in GF K/BxN mice. To find the difference between GF and SPF K/BxN T cells in a broad and non-biased fashion, we performed gene-expression profiling of these cells using microarrays."}
{"STANDARD_NAME":"GSE22140_HEALTHY_VS_ARTHRITIC_GERMFREE_MOUSE_CD4_TCELL_UP","SYSTEMATIC_NAME":"M7648","ORGANISM":"Mus musculus","PMID":"20620945","AUTHORS":"Wu HJ,Ivanov II,Darce J,Hattori K,Shima T,Umesaki Y,Littman DR,Benoist C,Mathis D","GEOID":"GSE22140","EXACT_SOURCE":"GSE22140_2812_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells under germ free conditions: healthy versus arthritis (KRN model).","DESCRIPTION_FULL":"A general defect of GF K/BxN T cell proliferation response toward antigen motivated us to look for the impairment in GF K/BxN T cells that might leads to the low Ab production and reduced disease phenotype seen in GF K/BxN mice. To find the difference between GF and SPF K/BxN T cells in a broad and non-biased fashion, we performed gene-expression profiling of these cells using microarrays."}
{"STANDARD_NAME":"GSE22140_GERMFREE_VS_SPF_ARTHRITIC_MOUSE_CD4_TCELL_UP","SYSTEMATIC_NAME":"M7649","ORGANISM":"Mus musculus","PMID":"20620945","AUTHORS":"Wu HJ,Ivanov II,Darce J,Hattori K,Shima T,Umesaki Y,Littman DR,Benoist C,Mathis D","GEOID":"GSE22140","EXACT_SOURCE":"GSE22140_2815_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in arthritic (KRN model) CD4 [GeneID=920] T cells: germ free versus specific pathogen free conditions.","DESCRIPTION_FULL":"A general defect of GF K/BxN T cell proliferation response toward antigen motivated us to look for the impairment in GF K/BxN T cells that might leads to the low Ab production and reduced disease phenotype seen in GF K/BxN mice. To find the difference between GF and SPF K/BxN T cells in a broad and non-biased fashion, we performed gene-expression profiling of these cells using microarrays."}
{"STANDARD_NAME":"GSE22140_HEALTHY_VS_ARTHRITIC_MOUSE_CD4_TCELL_UP","SYSTEMATIC_NAME":"M7650","ORGANISM":"Mus musculus","PMID":"20620945","AUTHORS":"Wu HJ,Ivanov II,Darce J,Hattori K,Shima T,Umesaki Y,Littman DR,Benoist C,Mathis D","GEOID":"GSE22140","EXACT_SOURCE":"GSE22140_2814_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells under specific pathogen free conditions: healthy versus arthritis (KRN model).","DESCRIPTION_FULL":"A general defect of GF K/BxN T cell proliferation response toward antigen motivated us to look for the impairment in GF K/BxN T cells that might leads to the low Ab production and reduced disease phenotype seen in GF K/BxN mice. To find the difference between GF and SPF K/BxN T cells in a broad and non-biased fashion, we performed gene-expression profiling of these cells using microarrays."}
{"STANDARD_NAME":"GSE22140_HEALTHY_VS_ARTHRITIC_MOUSE_CD4_TCELL_DN","SYSTEMATIC_NAME":"M7651","ORGANISM":"Mus musculus","PMID":"20620945","AUTHORS":"Wu HJ,Ivanov II,Darce J,Hattori K,Shima T,Umesaki Y,Littman DR,Benoist C,Mathis D","GEOID":"GSE22140","EXACT_SOURCE":"GSE22140_2814_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells under specific pathogen free conditions: healthy versus arthritis (KRN model).","DESCRIPTION_FULL":"A general defect of GF K/BxN T cell proliferation response toward antigen motivated us to look for the impairment in GF K/BxN T cells that might leads to the low Ab production and reduced disease phenotype seen in GF K/BxN mice. To find the difference between GF and SPF K/BxN T cells in a broad and non-biased fashion, we performed gene-expression profiling of these cells using microarrays."}
{"STANDARD_NAME":"GSE22140_GERMFREE_VS_SPF_MOUSE_CD4_TCELL_UP","SYSTEMATIC_NAME":"M7652","ORGANISM":"Mus musculus","PMID":"20620945","AUTHORS":"Wu HJ,Ivanov II,Darce J,Hattori K,Shima T,Umesaki Y,Littman DR,Benoist C,Mathis D","GEOID":"GSE22140","EXACT_SOURCE":"GSE22140_2813_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in healthy CD4 [GeneID=920] T cells: germ free versus specific pathogen free.","DESCRIPTION_FULL":"A general defect of GF K/BxN T cell proliferation response toward antigen motivated us to look for the impairment in GF K/BxN T cells that might leads to the low Ab production and reduced disease phenotype seen in GF K/BxN mice. To find the difference between GF and SPF K/BxN T cells in a broad and non-biased fashion, we performed gene-expression profiling of these cells using microarrays."}
{"STANDARD_NAME":"GSE22196_HEALTHY_VS_OBESE_MOUSE_SKIN_GAMMADELTA_TCELL_DN","SYSTEMATIC_NAME":"M7653","ORGANISM":"Mus musculus","PMID":"20625397","AUTHORS":"Taylor KR,Mills RE,Costanzo AE,Jameson JM","GEOID":"GSE22196","EXACT_SOURCE":"GSE22196_3829_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in skin gamma delta T cells: healthy versus obesity.","DESCRIPTION_FULL":"Epithelial cells provide an initial line of defense against damage and pathogens in barrier tissues such as the skin; however this balance is disrupted in obesity and metabolic disease. Skin gamma delta T cells recognize epithelial damage and release cytokines and growth factors that facilitate wound repair. To determine the impact of obesity and metabolic disease on skin gamma delta T cells, we isolated skin gamma delta T cells from 10-week old C57BLKS/J lean db/+ and obese db/db animals for further study. Due to a deficiency in the leptin receptor (db), homozygous db/db animals do not process satiety signals, continually eat and develop severe obesity and metabolic disease. Skin gamma delta T cells isolated from these animals were compared for changes in mRNA expression using microarray. We have determined that obesity and metabolic disease negatively impacts homeostasis and functionality of skin gamma delta T cells, rendering host defense mechanisms vulnerable to injury and infection."}
{"STANDARD_NAME":"GSE22196_HEALTHY_VS_OBESE_MOUSE_SKIN_GAMMADELTA_TCELL_UP","SYSTEMATIC_NAME":"M7655","ORGANISM":"Mus musculus","PMID":"20625397","AUTHORS":"Taylor KR,Mills RE,Costanzo AE,Jameson JM","GEOID":"GSE22196","EXACT_SOURCE":"GSE22196_3829_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in skin gamma delta T cells: healthy versus obesity.","DESCRIPTION_FULL":"Epithelial cells provide an initial line of defense against damage and pathogens in barrier tissues such as the skin; however this balance is disrupted in obesity and metabolic disease. Skin gamma delta T cells recognize epithelial damage and release cytokines and growth factors that facilitate wound repair. To determine the impact of obesity and metabolic disease on skin gamma delta T cells, we isolated skin gamma delta T cells from 10-week old C57BLKS/J lean db/+ and obese db/db animals for further study. Due to a deficiency in the leptin receptor (db), homozygous db/db animals do not process satiety signals, continually eat and develop severe obesity and metabolic disease. Skin gamma delta T cells isolated from these animals were compared for changes in mRNA expression using microarray. We have determined that obesity and metabolic disease negatively impacts homeostasis and functionality of skin gamma delta T cells, rendering host defense mechanisms vulnerable to injury and infection."}
{"STANDARD_NAME":"GSE19401_NAIVE_VS_IMMUNIZED_MOUSE_PLN_FOLLICULAR_DC_UP","SYSTEMATIC_NAME":"M7656","ORGANISM":"Mus musculus","PMID":"20643338","AUTHORS":"Suzuki K,Maruya M,Kawamoto S,Sitnik K,Kitamura H,Agace WW,Fagarasan S","GEOID":"GSE19401","EXACT_SOURCE":"GSE19401_2536_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in ex vivo follicular dendritic cells from peripheral lymph nodes: naïve versus immunized mice.","DESCRIPTION_FULL":"Germinal centers (GCs) are clusters of activated B cells built on stromal cells known as follicular dendritic cells (FDCs). In the Peyer’s patches (PPs), GCs are chronically induced by bacteria and are the major sites for generation of gut IgA immune responses. Whether FDCs directly contribute to the IgA production in PP GCs is unknown. To investigate the role FDCs in gut immune system, we examined comprehensive gene profiles of FDCs purified from PPs or perypheral lymph nodes (pLNs) with or without immunization. We also tried to reconstitute the PP FDC signature in vitro by pulsed or continuous stimulation of pLN FDCs through TLRs, RARs or simultaneously through TLRs and RARs."}
{"STANDARD_NAME":"GSE19401_NAIVE_VS_IMMUNIZED_MOUSE_PLN_FOLLICULAR_DC_DN","SYSTEMATIC_NAME":"M7658","ORGANISM":"Mus musculus","PMID":"20643338","AUTHORS":"Suzuki K,Maruya M,Kawamoto S,Sitnik K,Kitamura H,Agace WW,Fagarasan S","GEOID":"GSE19401","EXACT_SOURCE":"GSE19401_2536_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in ex vivo follicular dendritic cells from peripheral lymph nodes: naïve versus immunized mice.","DESCRIPTION_FULL":"Germinal centers (GCs) are clusters of activated B cells built on stromal cells known as follicular dendritic cells (FDCs). In the Peyer’s patches (PPs), GCs are chronically induced by bacteria and are the major sites for generation of gut IgA immune responses. Whether FDCs directly contribute to the IgA production in PP GCs is unknown. To investigate the role FDCs in gut immune system, we examined comprehensive gene profiles of FDCs purified from PPs or perypheral lymph nodes (pLNs) with or without immunization. We also tried to reconstitute the PP FDC signature in vitro by pulsed or continuous stimulation of pLN FDCs through TLRs, RARs or simultaneously through TLRs and RARs."}
{"STANDARD_NAME":"GSE19401_UNSTIM_VS_RETINOIC_ACID_AND_PAM2CSK4_STIM_FOLLICULAR_DC_DN","SYSTEMATIC_NAME":"M7659","ORGANISM":"Mus musculus","PMID":"20643338","AUTHORS":"Suzuki K,Maruya M,Kawamoto S,Sitnik K,Kitamura H,Agace WW,Fagarasan S","GEOID":"GSE19401","EXACT_SOURCE":"GSE19401_2539_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in the in vitro follicular dendritic cells from peripheral lymph nodes: non-stimulated versus tretinoin [PubChem=444795] and Pam2CSK4 (96h).","DESCRIPTION_FULL":"Germinal centers (GCs) are clusters of activated B cells built on stromal cells known as follicular dendritic cells (FDCs). In the Peyer’s patches (PPs), GCs are chronically induced by bacteria and are the major sites for generation of gut IgA immune responses. Whether FDCs directly contribute to the IgA production in PP GCs is unknown. To investigate the role FDCs in gut immune system, we examined comprehensive gene profiles of FDCs purified from PPs or perypheral lymph nodes (pLNs) with or without immunization. We also tried to reconstitute the PP FDC signature in vitro by pulsed or continuous stimulation of pLN FDCs through TLRs, RARs or simultaneously through TLRs and RARs."}
{"STANDARD_NAME":"GSE19401_UNSTIM_VS_RETINOIC_ACID_STIM_FOLLICULAR_DC_UP","SYSTEMATIC_NAME":"M7661","ORGANISM":"Mus musculus","PMID":"20643338","AUTHORS":"Suzuki K,Maruya M,Kawamoto S,Sitnik K,Kitamura H,Agace WW,Fagarasan S","GEOID":"GSE19401","EXACT_SOURCE":"GSE19401_2538_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in the in vitro follicular dendritic cells from peripheral lymph nodes: non-stimulated versus tretinoin [PubChem=444795] (96h).","DESCRIPTION_FULL":"Germinal centers (GCs) are clusters of activated B cells built on stromal cells known as follicular dendritic cells (FDCs). In the Peyer’s patches (PPs), GCs are chronically induced by bacteria and are the major sites for generation of gut IgA immune responses. Whether FDCs directly contribute to the IgA production in PP GCs is unknown. To investigate the role FDCs in gut immune system, we examined comprehensive gene profiles of FDCs purified from PPs or perypheral lymph nodes (pLNs) with or without immunization. We also tried to reconstitute the PP FDC signature in vitro by pulsed or continuous stimulation of pLN FDCs through TLRs, RARs or simultaneously through TLRs and RARs."}
{"STANDARD_NAME":"GSE19401_UNSTIM_VS_RETINOIC_ACID_STIM_FOLLICULAR_DC_DN","SYSTEMATIC_NAME":"M7664","ORGANISM":"Mus musculus","PMID":"20643338","AUTHORS":"Suzuki K,Maruya M,Kawamoto S,Sitnik K,Kitamura H,Agace WW,Fagarasan S","GEOID":"GSE19401","EXACT_SOURCE":"GSE19401_2538_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in the in vitro follicular dendritic cells from peripheral lymph nodes: non-stimulated versus tretinoin [PubChem=444795] (96h).","DESCRIPTION_FULL":"Germinal centers (GCs) are clusters of activated B cells built on stromal cells known as follicular dendritic cells (FDCs). In the Peyer’s patches (PPs), GCs are chronically induced by bacteria and are the major sites for generation of gut IgA immune responses. Whether FDCs directly contribute to the IgA production in PP GCs is unknown. To investigate the role FDCs in gut immune system, we examined comprehensive gene profiles of FDCs purified from PPs or perypheral lymph nodes (pLNs) with or without immunization. We also tried to reconstitute the PP FDC signature in vitro by pulsed or continuous stimulation of pLN FDCs through TLRs, RARs or simultaneously through TLRs and RARs."}
{"STANDARD_NAME":"GSE19401_UNSTIM_VS_RETINOIC_ACID_AND_PAM2CSK4_STIM_FOLLICULAR_DC_UP","SYSTEMATIC_NAME":"M7665","ORGANISM":"Mus musculus","PMID":"20643338","AUTHORS":"Suzuki K,Maruya M,Kawamoto S,Sitnik K,Kitamura H,Agace WW,Fagarasan S","GEOID":"GSE19401","EXACT_SOURCE":"GSE19401_2539_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in the in vitro follicular dendritic cells from peripheral lymph nodes: non-stimulated versus tretinoin [PubChem=444795] and Pam2CSK4 (96h).","DESCRIPTION_FULL":"Germinal centers (GCs) are clusters of activated B cells built on stromal cells known as follicular dendritic cells (FDCs). In the Peyer’s patches (PPs), GCs are chronically induced by bacteria and are the major sites for generation of gut IgA immune responses. Whether FDCs directly contribute to the IgA production in PP GCs is unknown. To investigate the role FDCs in gut immune system, we examined comprehensive gene profiles of FDCs purified from PPs or perypheral lymph nodes (pLNs) with or without immunization. We also tried to reconstitute the PP FDC signature in vitro by pulsed or continuous stimulation of pLN FDCs through TLRs, RARs or simultaneously through TLRs and RARs."}
{"STANDARD_NAME":"GSE19401_PLN_VS_PEYERS_PATCH_FOLLICULAR_DC_UP","SYSTEMATIC_NAME":"M7666","ORGANISM":"Mus musculus","PMID":"20643338","AUTHORS":"Suzuki K,Maruya M,Kawamoto S,Sitnik K,Kitamura H,Agace WW,Fagarasan S","GEOID":"GSE19401","EXACT_SOURCE":"GSE19401_2535_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in ex vivo follicular dendritic cells: peripheral lymph node versus Peyers patch.","DESCRIPTION_FULL":"Germinal centers (GCs) are clusters of activated B cells built on stromal cells known as follicular dendritic cells (FDCs). In the Peyer’s patches (PPs), GCs are chronically induced by bacteria and are the major sites for generation of gut IgA immune responses. Whether FDCs directly contribute to the IgA production in PP GCs is unknown. To investigate the role FDCs in gut immune system, we examined comprehensive gene profiles of FDCs purified from PPs or perypheral lymph nodes (pLNs) with or without immunization. We also tried to reconstitute the PP FDC signature in vitro by pulsed or continuous stimulation of pLN FDCs through TLRs, RARs or simultaneously through TLRs and RARs."}
{"STANDARD_NAME":"GSE19401_PLN_VS_PEYERS_PATCH_FOLLICULAR_DC_DN","SYSTEMATIC_NAME":"M7667","ORGANISM":"Mus musculus","PMID":"20643338","AUTHORS":"Suzuki K,Maruya M,Kawamoto S,Sitnik K,Kitamura H,Agace WW,Fagarasan S","GEOID":"GSE19401","EXACT_SOURCE":"GSE19401_2535_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in ex vivo follicular dendritic cells: peripheral lymph node versus Peyers patch.","DESCRIPTION_FULL":"Germinal centers (GCs) are clusters of activated B cells built on stromal cells known as follicular dendritic cells (FDCs). In the Peyer’s patches (PPs), GCs are chronically induced by bacteria and are the major sites for generation of gut IgA immune responses. Whether FDCs directly contribute to the IgA production in PP GCs is unknown. To investigate the role FDCs in gut immune system, we examined comprehensive gene profiles of FDCs purified from PPs or perypheral lymph nodes (pLNs) with or without immunization. We also tried to reconstitute the PP FDC signature in vitro by pulsed or continuous stimulation of pLN FDCs through TLRs, RARs or simultaneously through TLRs and RARs."}
{"STANDARD_NAME":"GSE19401_PAM2CSK4_VS_RETINOIC_ACID_AND_PAM2CSK4_STIM_FOLLICULAR_DC_DN","SYSTEMATIC_NAME":"M7668","ORGANISM":"Mus musculus","PMID":"20643338","AUTHORS":"Suzuki K,Maruya M,Kawamoto S,Sitnik K,Kitamura H,Agace WW,Fagarasan S","GEOID":"GSE19401","EXACT_SOURCE":"GSE19401_2541_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in the in vitro follicular dendritic cells from peripheral lymph nodes (96h): Pam2CSK4 versus tretinoin [PubChem=444795] and Pam2CSK4.","DESCRIPTION_FULL":"Germinal centers (GCs) are clusters of activated B cells built on stromal cells known as follicular dendritic cells (FDCs). In the Peyer’s patches (PPs), GCs are chronically induced by bacteria and are the major sites for generation of gut IgA immune responses. Whether FDCs directly contribute to the IgA production in PP GCs is unknown. To investigate the role FDCs in gut immune system, we examined comprehensive gene profiles of FDCs purified from PPs or perypheral lymph nodes (pLNs) with or without immunization. We also tried to reconstitute the PP FDC signature in vitro by pulsed or continuous stimulation of pLN FDCs through TLRs, RARs or simultaneously through TLRs and RARs."}
{"STANDARD_NAME":"GSE19401_UNSTIM_VS_PAM2CSK4_STIM_FOLLICULAR_DC_UP","SYSTEMATIC_NAME":"M7670","ORGANISM":"Mus musculus","PMID":"20643338","AUTHORS":"Suzuki K,Maruya M,Kawamoto S,Sitnik K,Kitamura H,Agace WW,Fagarasan S","GEOID":"GSE19401","EXACT_SOURCE":"GSE19401_2537_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in the in vitro follicular dendritic cells from peripheral lymph nodes: unstimulated versus Pam2CSK4 (96h).","DESCRIPTION_FULL":"Germinal centers (GCs) are clusters of activated B cells built on stromal cells known as follicular dendritic cells (FDCs). In the Peyer’s patches (PPs), GCs are chronically induced by bacteria and are the major sites for generation of gut IgA immune responses. Whether FDCs directly contribute to the IgA production in PP GCs is unknown. To investigate the role FDCs in gut immune system, we examined comprehensive gene profiles of FDCs purified from PPs or perypheral lymph nodes (pLNs) with or without immunization. We also tried to reconstitute the PP FDC signature in vitro by pulsed or continuous stimulation of pLN FDCs through TLRs, RARs or simultaneously through TLRs and RARs."}
{"STANDARD_NAME":"GSE19401_UNSTIM_VS_PAM2CSK4_STIM_FOLLICULAR_DC_DN","SYSTEMATIC_NAME":"M7671","ORGANISM":"Mus musculus","PMID":"20643338","AUTHORS":"Suzuki K,Maruya M,Kawamoto S,Sitnik K,Kitamura H,Agace WW,Fagarasan S","GEOID":"GSE19401","EXACT_SOURCE":"GSE19401_2537_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in the in vitro follicular dendritic cells from peripheral lymph nodes: unstimulated versus Pam2CSK4 (96h).","DESCRIPTION_FULL":"Germinal centers (GCs) are clusters of activated B cells built on stromal cells known as follicular dendritic cells (FDCs). In the Peyer’s patches (PPs), GCs are chronically induced by bacteria and are the major sites for generation of gut IgA immune responses. Whether FDCs directly contribute to the IgA production in PP GCs is unknown. To investigate the role FDCs in gut immune system, we examined comprehensive gene profiles of FDCs purified from PPs or perypheral lymph nodes (pLNs) with or without immunization. We also tried to reconstitute the PP FDC signature in vitro by pulsed or continuous stimulation of pLN FDCs through TLRs, RARs or simultaneously through TLRs and RARs."}
{"STANDARD_NAME":"GSE19401_PAM2CSK4_VS_RETINOIC_ACID_STIM_FOLLICULAR_DC_DN","SYSTEMATIC_NAME":"M7672","ORGANISM":"Mus musculus","PMID":"20643338","AUTHORS":"Suzuki K,Maruya M,Kawamoto S,Sitnik K,Kitamura H,Agace WW,Fagarasan S","GEOID":"GSE19401","EXACT_SOURCE":"GSE19401_2540_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in the in vitro follicular dendritic cells from peripheral lymph nodes (96h): Pam2CSK4 versus tretinoin [PubChem=444795].","DESCRIPTION_FULL":"Germinal centers (GCs) are clusters of activated B cells built on stromal cells known as follicular dendritic cells (FDCs). In the Peyer’s patches (PPs), GCs are chronically induced by bacteria and are the major sites for generation of gut IgA immune responses. Whether FDCs directly contribute to the IgA production in PP GCs is unknown. To investigate the role FDCs in gut immune system, we examined comprehensive gene profiles of FDCs purified from PPs or perypheral lymph nodes (pLNs) with or without immunization. We also tried to reconstitute the PP FDC signature in vitro by pulsed or continuous stimulation of pLN FDCs through TLRs, RARs or simultaneously through TLRs and RARs."}
{"STANDARD_NAME":"GSE19401_PAM2CSK4_VS_RETINOIC_ACID_AND_PAM2CSK4_STIM_FOLLICULAR_DC_UP","SYSTEMATIC_NAME":"M7673","ORGANISM":"Mus musculus","PMID":"20643338","AUTHORS":"Suzuki K,Maruya M,Kawamoto S,Sitnik K,Kitamura H,Agace WW,Fagarasan S","GEOID":"GSE19401","EXACT_SOURCE":"GSE19401_2541_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in the in vitro follicular dendritic cells from peripheral lymph nodes (96h): Pam2CSK4 versus tretinoin [PubChem=444795] and Pam2CSK4.","DESCRIPTION_FULL":"Germinal centers (GCs) are clusters of activated B cells built on stromal cells known as follicular dendritic cells (FDCs). In the Peyer’s patches (PPs), GCs are chronically induced by bacteria and are the major sites for generation of gut IgA immune responses. Whether FDCs directly contribute to the IgA production in PP GCs is unknown. To investigate the role FDCs in gut immune system, we examined comprehensive gene profiles of FDCs purified from PPs or perypheral lymph nodes (pLNs) with or without immunization. We also tried to reconstitute the PP FDC signature in vitro by pulsed or continuous stimulation of pLN FDCs through TLRs, RARs or simultaneously through TLRs and RARs."}
{"STANDARD_NAME":"GSE19401_PAM2CSK4_VS_RETINOIC_ACID_STIM_FOLLICULAR_DC_UP","SYSTEMATIC_NAME":"M7674","ORGANISM":"Mus musculus","PMID":"20643338","AUTHORS":"Suzuki K,Maruya M,Kawamoto S,Sitnik K,Kitamura H,Agace WW,Fagarasan S","GEOID":"GSE19401","EXACT_SOURCE":"GSE19401_2540_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in the in vitro follicular dendritic cells from peripheral lymph nodes (96h): Pam2CSK4 versus tretinoin [PubChem=444795].","DESCRIPTION_FULL":"Germinal centers (GCs) are clusters of activated B cells built on stromal cells known as follicular dendritic cells (FDCs). In the Peyer’s patches (PPs), GCs are chronically induced by bacteria and are the major sites for generation of gut IgA immune responses. Whether FDCs directly contribute to the IgA production in PP GCs is unknown. To investigate the role FDCs in gut immune system, we examined comprehensive gene profiles of FDCs purified from PPs or perypheral lymph nodes (pLNs) with or without immunization. We also tried to reconstitute the PP FDC signature in vitro by pulsed or continuous stimulation of pLN FDCs through TLRs, RARs or simultaneously through TLRs and RARs."}
{"STANDARD_NAME":"GSE19401_RETINOIC_ACID_VS_RETINOIC_ACID_AND_PAM2CSK4_STIM_FOLLICULAR_DC_DN","SYSTEMATIC_NAME":"M7679","ORGANISM":"Mus musculus","PMID":"20643338","AUTHORS":"Suzuki K,Maruya M,Kawamoto S,Sitnik K,Kitamura H,Agace WW,Fagarasan S","GEOID":"GSE19401","EXACT_SOURCE":"GSE19401_2542_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in the in vitro follicular dendritic cells from peripheral lymph nodes (96h): tretinoin [PubChem=444795] versus tretinoin [PubChem=444795] and Pam2CSK4.","DESCRIPTION_FULL":"Germinal centers (GCs) are clusters of activated B cells built on stromal cells known as follicular dendritic cells (FDCs). In the Peyer’s patches (PPs), GCs are chronically induced by bacteria and are the major sites for generation of gut IgA immune responses. Whether FDCs directly contribute to the IgA production in PP GCs is unknown. To investigate the role FDCs in gut immune system, we examined comprehensive gene profiles of FDCs purified from PPs or perypheral lymph nodes (pLNs) with or without immunization. We also tried to reconstitute the PP FDC signature in vitro by pulsed or continuous stimulation of pLN FDCs through TLRs, RARs or simultaneously through TLRs and RARs."}
{"STANDARD_NAME":"GSE19401_RETINOIC_ACID_VS_RETINOIC_ACID_AND_PAM2CSK4_STIM_FOLLICULAR_DC_UP","SYSTEMATIC_NAME":"M7680","ORGANISM":"Mus musculus","PMID":"20643338","AUTHORS":"Suzuki K,Maruya M,Kawamoto S,Sitnik K,Kitamura H,Agace WW,Fagarasan S","GEOID":"GSE19401","EXACT_SOURCE":"GSE19401_2542_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in the in vitro follicular dendritic cells from peripheral lymph nodes (96h): tretinoin [PubChem=444795] versus tretinoin [PubChem=444795] and Pam2CSK4.","DESCRIPTION_FULL":"Germinal centers (GCs) are clusters of activated B cells built on stromal cells known as follicular dendritic cells (FDCs). In the Peyer’s patches (PPs), GCs are chronically induced by bacteria and are the major sites for generation of gut IgA immune responses. Whether FDCs directly contribute to the IgA production in PP GCs is unknown. To investigate the role FDCs in gut immune system, we examined comprehensive gene profiles of FDCs purified from PPs or perypheral lymph nodes (pLNs) with or without immunization. We also tried to reconstitute the PP FDC signature in vitro by pulsed or continuous stimulation of pLN FDCs through TLRs, RARs or simultaneously through TLRs and RARs."}
{"STANDARD_NAME":"GSE20152_HTNFA_OVERXPRESS_ANKLE_VS_CTRL_SPHK1_KO_ANKLE_DN","SYSTEMATIC_NAME":"M7681","ORGANISM":"Mus musculus","PMID":"20644167","AUTHORS":"Baker DA,Barth J,Chang R,Obeid LM,Gilkeson GS","GEOID":"GSE20152","EXACT_SOURCE":"GSE20152_3103_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in ankle joints from SPHK1 [GeneID=8877] knockout: TNF [GeneID=7124] over-expression versus control.","DESCRIPTION_FULL":"The study analyzes analyzes gene expression changes in the ankle joint in mouse TNFa overexpression models with or without sphingosine kinase 1 activity. SphK1 is a sphingolipid enzyme that converts sphingosine to bioactive sphingosine-1-phosphate (S1P). Recent data suggest a potential relationship between SphK1 and TNFα and have implicated SphK1/S1P in the development and progression of inflammation. Here we further study the relationship of TNFα and SphK1 using an in vivo model. Transgenic hTNFα mice, which develop a spontaneous arthritis (limited to paws) at 20 weeks, were crossed with SphK1 activity null mice (SphK1-/-) to study the development of inflammatory arthritis in the functional absence of SphK1. Results show that hTNF/SphK1-/- have significantly less severity and progression of arthritis and bone erosions as measured through micro-CT images. Additionally, less COX-2 protein, mTNFα transcript levels and fewer Th 17 cells were detected in the joints of hTNF/SphK1-/- compared to hTNF/SphK1+/+ mice. Microarray analysis of the ankle joint showed that hTNF/SphK1-/- mice have increased transcript levels of IL-6 and SOCS3 compared to hTNF/SphK1+/+ mice. Finally, fewer mature osteoclasts were detected in the ankle joints of hTNF/SphK1-/- mice compared to hTNF/SphK1+/+ mice. These data show that SphK1 plays a role in hTNFα induced inflammatory arthritis, potentially through a novel pathway involving IL-6 and SOCS3."}
{"STANDARD_NAME":"GSE20152_SPHK1_KO_VS_HTNFA_OVEREXPRESS_ANKLE_UP","SYSTEMATIC_NAME":"M7682","ORGANISM":"Mus musculus","PMID":"20644167","AUTHORS":"Baker DA,Barth J,Chang R,Obeid LM,Gilkeson GS","GEOID":"GSE20152","EXACT_SOURCE":"GSE20152_3105_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in ankle joints: SPHK1 [GeneID=8877] versus wildtype over-expressing TNF [GeneID=7124].","DESCRIPTION_FULL":"The study analyzes analyzes gene expression changes in the ankle joint in mouse TNFa overexpression models with or without sphingosine kinase 1 activity. SphK1 is a sphingolipid enzyme that converts sphingosine to bioactive sphingosine-1-phosphate (S1P). Recent data suggest a potential relationship between SphK1 and TNFα and have implicated SphK1/S1P in the development and progression of inflammation. Here we further study the relationship of TNFα and SphK1 using an in vivo model. Transgenic hTNFα mice, which develop a spontaneous arthritis (limited to paws) at 20 weeks, were crossed with SphK1 activity null mice (SphK1-/-) to study the development of inflammatory arthritis in the functional absence of SphK1. Results show that hTNF/SphK1-/- have significantly less severity and progression of arthritis and bone erosions as measured through micro-CT images. Additionally, less COX-2 protein, mTNFα transcript levels and fewer Th 17 cells were detected in the joints of hTNF/SphK1-/- compared to hTNF/SphK1+/+ mice. Microarray analysis of the ankle joint showed that hTNF/SphK1-/- mice have increased transcript levels of IL-6 and SOCS3 compared to hTNF/SphK1+/+ mice. Finally, fewer mature osteoclasts were detected in the ankle joints of hTNF/SphK1-/- mice compared to hTNF/SphK1+/+ mice. These data show that SphK1 plays a role in hTNFα induced inflammatory arthritis, potentially through a novel pathway involving IL-6 and SOCS3."}
{"STANDARD_NAME":"GSE20152_SPHK1_KO_VS_HTNFA_OVEREXPRESS_ANKLE_DN","SYSTEMATIC_NAME":"M7683","ORGANISM":"Mus musculus","PMID":"20644167","AUTHORS":"Baker DA,Barth J,Chang R,Obeid LM,Gilkeson GS","GEOID":"GSE20152","EXACT_SOURCE":"GSE20152_3105_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in ankle joints: SPHK1 [GeneID=8877] versus wildtype over-expressing TNF [GeneID=7124].","DESCRIPTION_FULL":"The study analyzes analyzes gene expression changes in the ankle joint in mouse TNFa overexpression models with or without sphingosine kinase 1 activity. SphK1 is a sphingolipid enzyme that converts sphingosine to bioactive sphingosine-1-phosphate (S1P). Recent data suggest a potential relationship between SphK1 and TNFα and have implicated SphK1/S1P in the development and progression of inflammation. Here we further study the relationship of TNFα and SphK1 using an in vivo model. Transgenic hTNFα mice, which develop a spontaneous arthritis (limited to paws) at 20 weeks, were crossed with SphK1 activity null mice (SphK1-/-) to study the development of inflammatory arthritis in the functional absence of SphK1. Results show that hTNF/SphK1-/- have significantly less severity and progression of arthritis and bone erosions as measured through micro-CT images. Additionally, less COX-2 protein, mTNFα transcript levels and fewer Th 17 cells were detected in the joints of hTNF/SphK1-/- compared to hTNF/SphK1+/+ mice. Microarray analysis of the ankle joint showed that hTNF/SphK1-/- mice have increased transcript levels of IL-6 and SOCS3 compared to hTNF/SphK1+/+ mice. Finally, fewer mature osteoclasts were detected in the ankle joints of hTNF/SphK1-/- mice compared to hTNF/SphK1+/+ mice. These data show that SphK1 plays a role in hTNFα induced inflammatory arthritis, potentially through a novel pathway involving IL-6 and SOCS3."}
{"STANDARD_NAME":"GSE20152_SPHK1_KO_VS_WT_HTNFA_OVERXPRESS_ANKLE_UP","SYSTEMATIC_NAME":"M7684","ORGANISM":"Mus musculus","PMID":"20644167","AUTHORS":"Baker DA,Barth J,Chang R,Obeid LM,Gilkeson GS","GEOID":"GSE20152","EXACT_SOURCE":"GSE20152_3104_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in ankle joints over-expressing TNF [GeneID=7124]: SPHK1 [GeneID=8877] knockout versus wildtype.","DESCRIPTION_FULL":"The study analyzes analyzes gene expression changes in the ankle joint in mouse TNFa overexpression models with or without sphingosine kinase 1 activity. SphK1 is a sphingolipid enzyme that converts sphingosine to bioactive sphingosine-1-phosphate (S1P). Recent data suggest a potential relationship between SphK1 and TNFα and have implicated SphK1/S1P in the development and progression of inflammation. Here we further study the relationship of TNFα and SphK1 using an in vivo model. Transgenic hTNFα mice, which develop a spontaneous arthritis (limited to paws) at 20 weeks, were crossed with SphK1 activity null mice (SphK1-/-) to study the development of inflammatory arthritis in the functional absence of SphK1. Results show that hTNF/SphK1-/- have significantly less severity and progression of arthritis and bone erosions as measured through micro-CT images. Additionally, less COX-2 protein, mTNFα transcript levels and fewer Th 17 cells were detected in the joints of hTNF/SphK1-/- compared to hTNF/SphK1+/+ mice. Microarray analysis of the ankle joint showed that hTNF/SphK1-/- mice have increased transcript levels of IL-6 and SOCS3 compared to hTNF/SphK1+/+ mice. Finally, fewer mature osteoclasts were detected in the ankle joints of hTNF/SphK1-/- mice compared to hTNF/SphK1+/+ mice. These data show that SphK1 plays a role in hTNFα induced inflammatory arthritis, potentially through a novel pathway involving IL-6 and SOCS3."}
{"STANDARD_NAME":"GSE20152_SPHK1_KO_VS_WT_HTNFA_OVERXPRESS_ANKLE_DN","SYSTEMATIC_NAME":"M7686","ORGANISM":"Mus musculus","PMID":"20644167","AUTHORS":"Baker DA,Barth J,Chang R,Obeid LM,Gilkeson GS","GEOID":"GSE20152","EXACT_SOURCE":"GSE20152_3104_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in ankle joints over-expressing TNF [GeneID=7124]: SPHK1 [GeneID=8877] knockout versus wildtype.","DESCRIPTION_FULL":"The study analyzes analyzes gene expression changes in the ankle joint in mouse TNFa overexpression models with or without sphingosine kinase 1 activity. SphK1 is a sphingolipid enzyme that converts sphingosine to bioactive sphingosine-1-phosphate (S1P). Recent data suggest a potential relationship between SphK1 and TNFα and have implicated SphK1/S1P in the development and progression of inflammation. Here we further study the relationship of TNFα and SphK1 using an in vivo model. Transgenic hTNFα mice, which develop a spontaneous arthritis (limited to paws) at 20 weeks, were crossed with SphK1 activity null mice (SphK1-/-) to study the development of inflammatory arthritis in the functional absence of SphK1. Results show that hTNF/SphK1-/- have significantly less severity and progression of arthritis and bone erosions as measured through micro-CT images. Additionally, less COX-2 protein, mTNFα transcript levels and fewer Th 17 cells were detected in the joints of hTNF/SphK1-/- compared to hTNF/SphK1+/+ mice. Microarray analysis of the ankle joint showed that hTNF/SphK1-/- mice have increased transcript levels of IL-6 and SOCS3 compared to hTNF/SphK1+/+ mice. Finally, fewer mature osteoclasts were detected in the ankle joints of hTNF/SphK1-/- mice compared to hTNF/SphK1+/+ mice. These data show that SphK1 plays a role in hTNFα induced inflammatory arthritis, potentially through a novel pathway involving IL-6 and SOCS3."}
{"STANDARD_NAME":"GSE20152_HTNFA_OVERXPRESS_ANKLE_VS_CTRL_SPHK1_KO_ANKLE_UP","SYSTEMATIC_NAME":"M7687","ORGANISM":"Mus musculus","PMID":"20644167","AUTHORS":"Baker DA,Barth J,Chang R,Obeid LM,Gilkeson GS","GEOID":"GSE20152","EXACT_SOURCE":"GSE20152_3103_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in ankle joints from SPHK1 [GeneID=8877] knockout: TNF [GeneID=7124] over-expression versus control.","DESCRIPTION_FULL":"The study analyzes analyzes gene expression changes in the ankle joint in mouse TNFa overexpression models with or without sphingosine kinase 1 activity. SphK1 is a sphingolipid enzyme that converts sphingosine to bioactive sphingosine-1-phosphate (S1P). Recent data suggest a potential relationship between SphK1 and TNFα and have implicated SphK1/S1P in the development and progression of inflammation. Here we further study the relationship of TNFα and SphK1 using an in vivo model. Transgenic hTNFα mice, which develop a spontaneous arthritis (limited to paws) at 20 weeks, were crossed with SphK1 activity null mice (SphK1-/-) to study the development of inflammatory arthritis in the functional absence of SphK1. Results show that hTNF/SphK1-/- have significantly less severity and progression of arthritis and bone erosions as measured through micro-CT images. Additionally, less COX-2 protein, mTNFα transcript levels and fewer Th 17 cells were detected in the joints of hTNF/SphK1-/- compared to hTNF/SphK1+/+ mice. Microarray analysis of the ankle joint showed that hTNF/SphK1-/- mice have increased transcript levels of IL-6 and SOCS3 compared to hTNF/SphK1+/+ mice. Finally, fewer mature osteoclasts were detected in the ankle joints of hTNF/SphK1-/- mice compared to hTNF/SphK1+/+ mice. These data show that SphK1 plays a role in hTNFα induced inflammatory arthritis, potentially through a novel pathway involving IL-6 and SOCS3."}
{"STANDARD_NAME":"GSE22033_UNTREATED_VS_MRL24_TREATED_MEF_UP","SYSTEMATIC_NAME":"M7688","ORGANISM":"Mus musculus","PMID":"20651683","AUTHORS":"Choi JH,Banks AS,Estall JL,Kajimura S,Boström P,Laznik D,Ruas JL,Chalmers MJ,Kamenecka TM,Blüher M,Griffin PR,Spiegelman BM","GEOID":"GSE22033","EXACT_SOURCE":"GSE22033_2270_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in mouse embryonic fibroblasts (MEF): untreated versus MRL24 [PubChem=9958543].","DESCRIPTION_FULL":"In order to identify the molecular mechanisms of PPARgamma phosphorylation at Set273, we generated cell-lines of PPARgamma KO MEFs expressing wtPPARgamma or S273APPARgamma. In addition, because our data showed that PPARgamma ligand drugs such as rosiglitazone and MRL24 blocked this phopshorylation, we treated cells with these drugs, then prepared RNA samples to look at the gene profiling."}
{"STANDARD_NAME":"GSE22033_UNTREATED_VS_ROSIGLITAZONE_TREATED_MEF_DN","SYSTEMATIC_NAME":"M7690","ORGANISM":"Mus musculus","PMID":"20651683","AUTHORS":"Choi JH,Banks AS,Estall JL,Kajimura S,Boström P,Laznik D,Ruas JL,Chalmers MJ,Kamenecka TM,Blüher M,Griffin PR,Spiegelman BM","GEOID":"GSE22033","EXACT_SOURCE":"GSE22033_2269_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in mouse embryonic fibroblasts (MEF): untreated versus rosiglitazone [PubChem=77999].","DESCRIPTION_FULL":"In order to identify the molecular mechanisms of PPARgamma phosphorylation at Set273, we generated cell-lines of PPARgamma KO MEFs expressing wtPPARgamma or S273APPARgamma. In addition, because our data showed that PPARgamma ligand drugs such as rosiglitazone and MRL24 blocked this phopshorylation, we treated cells with these drugs, then prepared RNA samples to look at the gene profiling."}
{"STANDARD_NAME":"GSE22033_WT_VS_PPARG_KO_MEF_DN","SYSTEMATIC_NAME":"M7692","ORGANISM":"Mus musculus","PMID":"20651683","AUTHORS":"Choi JH,Banks AS,Estall JL,Kajimura S,Boström P,Laznik D,Ruas JL,Chalmers MJ,Kamenecka TM,Blüher M,Griffin PR,Spiegelman BM","GEOID":"GSE22033","EXACT_SOURCE":"GSE22033_2268_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in mouse embryonic fibroblasts (MEF): wildtype versus PPARG [GeneID=5468] knockout.","DESCRIPTION_FULL":"In order to identify the molecular mechanisms of PPARgamma phosphorylation at Set273, we generated cell-lines of PPARgamma KO MEFs expressing wtPPARgamma or S273APPARgamma. In addition, because our data showed that PPARgamma ligand drugs such as rosiglitazone and MRL24 blocked this phopshorylation, we treated cells with these drugs, then prepared RNA samples to look at the gene profiling."}
{"STANDARD_NAME":"GSE22033_WT_VS_PPARG_KO_MEF_UP","SYSTEMATIC_NAME":"M7694","ORGANISM":"Mus musculus","PMID":"20651683","AUTHORS":"Choi JH,Banks AS,Estall JL,Kajimura S,Boström P,Laznik D,Ruas JL,Chalmers MJ,Kamenecka TM,Blüher M,Griffin PR,Spiegelman BM","GEOID":"GSE22033","EXACT_SOURCE":"GSE22033_2268_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in mouse embryonic fibroblasts (MEF): wildtype versus PPARG [GeneID=5468] knockout.","DESCRIPTION_FULL":"In order to identify the molecular mechanisms of PPARgamma phosphorylation at Set273, we generated cell-lines of PPARgamma KO MEFs expressing wtPPARgamma or S273APPARgamma. In addition, because our data showed that PPARgamma ligand drugs such as rosiglitazone and MRL24 blocked this phopshorylation, we treated cells with these drugs, then prepared RNA samples to look at the gene profiling."}
{"STANDARD_NAME":"GSE22033_UNTREATED_VS_ROSIGLITAZONE_TREATED_MEF_UP","SYSTEMATIC_NAME":"M7695","ORGANISM":"Mus musculus","PMID":"20651683","AUTHORS":"Choi JH,Banks AS,Estall JL,Kajimura S,Boström P,Laznik D,Ruas JL,Chalmers MJ,Kamenecka TM,Blüher M,Griffin PR,Spiegelman BM","GEOID":"GSE22033","EXACT_SOURCE":"GSE22033_2269_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in mouse embryonic fibroblasts (MEF): untreated versus rosiglitazone [PubChem=77999].","DESCRIPTION_FULL":"In order to identify the molecular mechanisms of PPARgamma phosphorylation at Set273, we generated cell-lines of PPARgamma KO MEFs expressing wtPPARgamma or S273APPARgamma. In addition, because our data showed that PPARgamma ligand drugs such as rosiglitazone and MRL24 blocked this phopshorylation, we treated cells with these drugs, then prepared RNA samples to look at the gene profiling."}
{"STANDARD_NAME":"GSE22033_UNTREATED_VS_MRL24_TREATED_MEF_DN","SYSTEMATIC_NAME":"M7696","ORGANISM":"Mus musculus","PMID":"20651683","AUTHORS":"Choi JH,Banks AS,Estall JL,Kajimura S,Boström P,Laznik D,Ruas JL,Chalmers MJ,Kamenecka TM,Blüher M,Griffin PR,Spiegelman BM","GEOID":"GSE22033","EXACT_SOURCE":"GSE22033_2270_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in mouse embryonic fibroblasts (MEF): untreated versus MRL24 [PubChem=9958543].","DESCRIPTION_FULL":"In order to identify the molecular mechanisms of PPARgamma phosphorylation at Set273, we generated cell-lines of PPARgamma KO MEFs expressing wtPPARgamma or S273APPARgamma. In addition, because our data showed that PPARgamma ligand drugs such as rosiglitazone and MRL24 blocked this phopshorylation, we treated cells with these drugs, then prepared RNA samples to look at the gene profiling."}
{"STANDARD_NAME":"GSE20500_CTRL_VS_RETINOIC_ACID_TREATED_CD4_TCELL_UP","SYSTEMATIC_NAME":"M7697","ORGANISM":"Mus musculus","PMID":"20664575","AUTHORS":"Kang SG,Park J,Cho JY,Ulrich B,Kim CH","GEOID":"GSE20500","EXACT_SOURCE":"GSE20500_3215_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells: control versus tretinoin [PubChem=444795].","DESCRIPTION_FULL":"This is to determine the T cell genes regulated by retinoic acid."}
{"STANDARD_NAME":"GSE20500_CTRL_VS_RETINOIC_ACID_TREATED_CD4_TCELL_DN","SYSTEMATIC_NAME":"M7701","ORGANISM":"Mus musculus","PMID":"20664575","AUTHORS":"Kang SG,Park J,Cho JY,Ulrich B,Kim CH","GEOID":"GSE20500","EXACT_SOURCE":"GSE20500_3215_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells: control versus tretinoin [PubChem=444795].","DESCRIPTION_FULL":"This is to determine the T cell genes regulated by retinoic acid."}
{"STANDARD_NAME":"GSE20500_RETINOIC_ACID_VS_RARA_ANTAGONIST_TREATED_CD4_TCELL_UP","SYSTEMATIC_NAME":"M7702","ORGANISM":"Mus musculus","PMID":"20664575","AUTHORS":"Kang SG,Park J,Cho JY,Ulrich B,Kim CH","GEOID":"GSE20500","EXACT_SOURCE":"GSE20500_3217_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells: tretinoin [PubChem=444795] versus Ro 41-5253 [PubChem=5312120].","DESCRIPTION_FULL":"This is to determine the T cell genes regulated by retinoic acid."}
{"STANDARD_NAME":"GSE20500_CTRL_VS_RARA_ANTAGONIST_TREATED_CD4_TCELL_UP","SYSTEMATIC_NAME":"M7706","ORGANISM":"Mus musculus","PMID":"20664575","AUTHORS":"Kang SG,Park J,Cho JY,Ulrich B,Kim CH","GEOID":"GSE20500","EXACT_SOURCE":"GSE20500_3216_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells: control versus Ro 41-5253 [PubChem=5312120].","DESCRIPTION_FULL":"This is to determine the T cell genes regulated by retinoic acid."}
{"STANDARD_NAME":"GSE20500_CTRL_VS_RARA_ANTAGONIST_TREATED_CD4_TCELL_DN","SYSTEMATIC_NAME":"M7707","ORGANISM":"Mus musculus","PMID":"20664575","AUTHORS":"Kang SG,Park J,Cho JY,Ulrich B,Kim CH","GEOID":"GSE20500","EXACT_SOURCE":"GSE20500_3216_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells: control versus Ro 41-5253 [PubChem=5312120].","DESCRIPTION_FULL":"This is to determine the T cell genes regulated by retinoic acid."}
{"STANDARD_NAME":"GSE20500_RETINOIC_ACID_VS_RARA_ANTAGONIST_TREATED_CD4_TCELL_DN","SYSTEMATIC_NAME":"M7708","ORGANISM":"Mus musculus","PMID":"20664575","AUTHORS":"Kang SG,Park J,Cho JY,Ulrich B,Kim CH","GEOID":"GSE20500","EXACT_SOURCE":"GSE20500_3217_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells: tretinoin [PubChem=444795] versus Ro 41-5253 [PubChem=5312120].","DESCRIPTION_FULL":"This is to determine the T cell genes regulated by retinoic acid."}
{"STANDARD_NAME":"GSE22527_ANTI_CD3_INVIVO_VS_UNTREATED_MOUSE_TREG_DN","SYSTEMATIC_NAME":"M7709","ORGANISM":"Mus musculus","PMID":"20679403","AUTHORS":"Nishio J,Feuerer M,Wong J,Mathis D,Benoist C","GEOID":"GSE22527","EXACT_SOURCE":"GSE22527_3555_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in T reg following anti-CD3 in vivo treatment versus control.","DESCRIPTION_FULL":"Treatment with anti-CD3 is a promising therapeutic approach for autoimmune diabetes, but its mechanism of action remains unclear. Foxp3+ regulatory T (Treg) cells may be involved, but the evidence has been conflicting, and there is great uncertainty as to possible mechanistic connections. We investigated this issue in mice derived from the NOD model, which were engineered mice in which Treg populations were perturbed, or could be manipulated by acute ablation or transfer. The data highlighted the involvement of Foxp3+ cells in anti-CD3 action. Rather than a generic influence on all Treg cells, the therapeutic effect seemed to involve an striking expansion of previously constrained Treg cell populations; this expansion occurred not through conversion from Foxp3- Tconv cells but from a dramatic proliferative expansion. We found that Treg cells are normally constrained by TCR-specific niches in secondary lymphoid organs, and that intraclonal competition restrains their possibility for conversion and expansion in the spleen and lymph nodes, much as niche competition limits their selection in the thymus. The strong perturbations induced by anti-CD3 overcame these niche limitations, in a process dependent on receptors for trophic cytokines, interleukin-2 receptor (IL-2R) and IL-7R."}
{"STANDARD_NAME":"GSE22527_ANTI_CD3_INVIVO_VS_UNTREATED_MOUSE_TREG_UP","SYSTEMATIC_NAME":"M7710","ORGANISM":"Mus musculus","PMID":"20679403","AUTHORS":"Nishio J,Feuerer M,Wong J,Mathis D,Benoist C","GEOID":"GSE22527","EXACT_SOURCE":"GSE22527_3555_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in T reg following anti-CD3 in vivo treatment versus control.","DESCRIPTION_FULL":"Treatment with anti-CD3 is a promising therapeutic approach for autoimmune diabetes, but its mechanism of action remains unclear. Foxp3+ regulatory T (Treg) cells may be involved, but the evidence has been conflicting, and there is great uncertainty as to possible mechanistic connections. We investigated this issue in mice derived from the NOD model, which were engineered mice in which Treg populations were perturbed, or could be manipulated by acute ablation or transfer. The data highlighted the involvement of Foxp3+ cells in anti-CD3 action. Rather than a generic influence on all Treg cells, the therapeutic effect seemed to involve an striking expansion of previously constrained Treg cell populations; this expansion occurred not through conversion from Foxp3- Tconv cells but from a dramatic proliferative expansion. We found that Treg cells are normally constrained by TCR-specific niches in secondary lymphoid organs, and that intraclonal competition restrains their possibility for conversion and expansion in the spleen and lymph nodes, much as niche competition limits their selection in the thymus. The strong perturbations induced by anti-CD3 overcame these niche limitations, in a process dependent on receptors for trophic cytokines, interleukin-2 receptor (IL-2R) and IL-7R."}
{"STANDARD_NAME":"GSE21033_CTRL_VS_POLYIC_STIM_DC_3H_DN","SYSTEMATIC_NAME":"M7711","ORGANISM":"Mus musculus","PMID":"20682054","AUTHORS":"Olex AL,Hiltbold EM,Leng X,Fetrow JS","GEOID":"GSE21033","EXACT_SOURCE":"GSE21033_3180_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived dendritic cellstreated by poly(IC): 0h versus 3h.","DESCRIPTION_FULL":"BACKGROUND: Dendritic cells (DC) play a central role in primary immune responses and become potent stimulators of the adaptive immune response after undergoing the critical process of maturation. Understanding the dynamics of DC maturation would provide key insights into this important process. Time course microarray experiments can provide unique insights into DC maturation dynamics. Replicate experiments are necessary to address the issues of experimental and biological variability. Statistical methods and averaging are often used to identify significant signals. Here a novel strategy for filtering of replicate time course microarray data, which identifies consistent signals between the replicates, is presented and applied to a DC time course microarray experiment. RESULTS: The temporal dynamics of DC maturation were studied by stimulating DC with poly(I:C) and following gene expression at 5 time points from 1 to 24 hours. The novel filtering strategy uses standard statistical and fold change techniques, along with the consistency of replicate temporal profiles, to identify those differentially expressed genes that were consistent in two biological replicate experiments. To address the issue of cluster reproducibility a consensus clustering method, which identifies clusters of genes whose expression varies consistently between replicates, was also developed and applied. Analysis of the resulting clusters revealed many known and novel characteristics of DC maturation, such as the up-regulation of specific immune response pathways. Intriguingly, more genes were down-regulated than up-regulated. Results identify a more comprehensive program of down-regulation, including many genes involved in protein synthesis, metabolism, and housekeeping needed for maintenance of cellular integrity and metabolism. CONCLUSIONS: The new filtering strategy emphasizes the importance of consistent and reproducible results when analyzing microarray data and utilizes consistency between replicate experiments as a criterion in both feature selection and clustering, without averaging or otherwise combining replicate data. Observation of a significant down-regulation program during DC maturation indicates that DC are preparing for cell death and provides a path to better understand the process. This new filtering strategy can be adapted for use in analyzing other large-scale time course data sets with replicates. "}
{"STANDARD_NAME":"GSE21033_CTRL_VS_POLYIC_STIM_DC_6H_UP","SYSTEMATIC_NAME":"M7712","ORGANISM":"Mus musculus","PMID":"20682054","AUTHORS":"Olex AL,Hiltbold EM,Leng X,Fetrow JS","GEOID":"GSE21033","EXACT_SOURCE":"GSE21033_3181_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived dendritic cellstreated by poly(IC): 0h versus 6h.","DESCRIPTION_FULL":"BACKGROUND: Dendritic cells (DC) play a central role in primary immune responses and become potent stimulators of the adaptive immune response after undergoing the critical process of maturation. Understanding the dynamics of DC maturation would provide key insights into this important process. Time course microarray experiments can provide unique insights into DC maturation dynamics. Replicate experiments are necessary to address the issues of experimental and biological variability. Statistical methods and averaging are often used to identify significant signals. Here a novel strategy for filtering of replicate time course microarray data, which identifies consistent signals between the replicates, is presented and applied to a DC time course microarray experiment. RESULTS: The temporal dynamics of DC maturation were studied by stimulating DC with poly(I:C) and following gene expression at 5 time points from 1 to 24 hours. The novel filtering strategy uses standard statistical and fold change techniques, along with the consistency of replicate temporal profiles, to identify those differentially expressed genes that were consistent in two biological replicate experiments. To address the issue of cluster reproducibility a consensus clustering method, which identifies clusters of genes whose expression varies consistently between replicates, was also developed and applied. Analysis of the resulting clusters revealed many known and novel characteristics of DC maturation, such as the up-regulation of specific immune response pathways. Intriguingly, more genes were down-regulated than up-regulated. Results identify a more comprehensive program of down-regulation, including many genes involved in protein synthesis, metabolism, and housekeeping needed for maintenance of cellular integrity and metabolism. CONCLUSIONS: The new filtering strategy emphasizes the importance of consistent and reproducible results when analyzing microarray data and utilizes consistency between replicate experiments as a criterion in both feature selection and clustering, without averaging or otherwise combining replicate data. Observation of a significant down-regulation program during DC maturation indicates that DC are preparing for cell death and provides a path to better understand the process. This new filtering strategy can be adapted for use in analyzing other large-scale time course data sets with replicates. "}
{"STANDARD_NAME":"GSE21033_CTRL_VS_POLYIC_STIM_DC_3H_UP","SYSTEMATIC_NAME":"M7713","ORGANISM":"Mus musculus","PMID":"20682054","AUTHORS":"Olex AL,Hiltbold EM,Leng X,Fetrow JS","GEOID":"GSE21033","EXACT_SOURCE":"GSE21033_3180_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived dendritic cellstreated by poly(IC): 0h versus 3h.","DESCRIPTION_FULL":"BACKGROUND: Dendritic cells (DC) play a central role in primary immune responses and become potent stimulators of the adaptive immune response after undergoing the critical process of maturation. Understanding the dynamics of DC maturation would provide key insights into this important process. Time course microarray experiments can provide unique insights into DC maturation dynamics. Replicate experiments are necessary to address the issues of experimental and biological variability. Statistical methods and averaging are often used to identify significant signals. Here a novel strategy for filtering of replicate time course microarray data, which identifies consistent signals between the replicates, is presented and applied to a DC time course microarray experiment. RESULTS: The temporal dynamics of DC maturation were studied by stimulating DC with poly(I:C) and following gene expression at 5 time points from 1 to 24 hours. The novel filtering strategy uses standard statistical and fold change techniques, along with the consistency of replicate temporal profiles, to identify those differentially expressed genes that were consistent in two biological replicate experiments. To address the issue of cluster reproducibility a consensus clustering method, which identifies clusters of genes whose expression varies consistently between replicates, was also developed and applied. Analysis of the resulting clusters revealed many known and novel characteristics of DC maturation, such as the up-regulation of specific immune response pathways. Intriguingly, more genes were down-regulated than up-regulated. Results identify a more comprehensive program of down-regulation, including many genes involved in protein synthesis, metabolism, and housekeeping needed for maintenance of cellular integrity and metabolism. CONCLUSIONS: The new filtering strategy emphasizes the importance of consistent and reproducible results when analyzing microarray data and utilizes consistency between replicate experiments as a criterion in both feature selection and clustering, without averaging or otherwise combining replicate data. Observation of a significant down-regulation program during DC maturation indicates that DC are preparing for cell death and provides a path to better understand the process. This new filtering strategy can be adapted for use in analyzing other large-scale time course data sets with replicates. "}
{"STANDARD_NAME":"GSE21033_CTRL_VS_POLYIC_STIM_DC_1H_DN","SYSTEMATIC_NAME":"M7716","ORGANISM":"Mus musculus","PMID":"20682054","AUTHORS":"Olex AL,Hiltbold EM,Leng X,Fetrow JS","GEOID":"GSE21033","EXACT_SOURCE":"GSE21033_3179_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived dendritic cellstreated by poly(IC): 0h versus 1h.","DESCRIPTION_FULL":"BACKGROUND: Dendritic cells (DC) play a central role in primary immune responses and become potent stimulators of the adaptive immune response after undergoing the critical process of maturation. Understanding the dynamics of DC maturation would provide key insights into this important process. Time course microarray experiments can provide unique insights into DC maturation dynamics. Replicate experiments are necessary to address the issues of experimental and biological variability. Statistical methods and averaging are often used to identify significant signals. Here a novel strategy for filtering of replicate time course microarray data, which identifies consistent signals between the replicates, is presented and applied to a DC time course microarray experiment. RESULTS: The temporal dynamics of DC maturation were studied by stimulating DC with poly(I:C) and following gene expression at 5 time points from 1 to 24 hours. The novel filtering strategy uses standard statistical and fold change techniques, along with the consistency of replicate temporal profiles, to identify those differentially expressed genes that were consistent in two biological replicate experiments. To address the issue of cluster reproducibility a consensus clustering method, which identifies clusters of genes whose expression varies consistently between replicates, was also developed and applied. Analysis of the resulting clusters revealed many known and novel characteristics of DC maturation, such as the up-regulation of specific immune response pathways. Intriguingly, more genes were down-regulated than up-regulated. Results identify a more comprehensive program of down-regulation, including many genes involved in protein synthesis, metabolism, and housekeeping needed for maintenance of cellular integrity and metabolism. CONCLUSIONS: The new filtering strategy emphasizes the importance of consistent and reproducible results when analyzing microarray data and utilizes consistency between replicate experiments as a criterion in both feature selection and clustering, without averaging or otherwise combining replicate data. Observation of a significant down-regulation program during DC maturation indicates that DC are preparing for cell death and provides a path to better understand the process. This new filtering strategy can be adapted for use in analyzing other large-scale time course data sets with replicates. "}
{"STANDARD_NAME":"GSE21033_CTRL_VS_POLYIC_STIM_DC_12H_DN","SYSTEMATIC_NAME":"M7717","ORGANISM":"Mus musculus","PMID":"20682054","AUTHORS":"Olex AL,Hiltbold EM,Leng X,Fetrow JS","GEOID":"GSE21033","EXACT_SOURCE":"GSE21033_3182_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived dendritic cellstreated by poly(IC): 0h versus 12h.","DESCRIPTION_FULL":"BACKGROUND: Dendritic cells (DC) play a central role in primary immune responses and become potent stimulators of the adaptive immune response after undergoing the critical process of maturation. Understanding the dynamics of DC maturation would provide key insights into this important process. Time course microarray experiments can provide unique insights into DC maturation dynamics. Replicate experiments are necessary to address the issues of experimental and biological variability. Statistical methods and averaging are often used to identify significant signals. Here a novel strategy for filtering of replicate time course microarray data, which identifies consistent signals between the replicates, is presented and applied to a DC time course microarray experiment. RESULTS: The temporal dynamics of DC maturation were studied by stimulating DC with poly(I:C) and following gene expression at 5 time points from 1 to 24 hours. The novel filtering strategy uses standard statistical and fold change techniques, along with the consistency of replicate temporal profiles, to identify those differentially expressed genes that were consistent in two biological replicate experiments. To address the issue of cluster reproducibility a consensus clustering method, which identifies clusters of genes whose expression varies consistently between replicates, was also developed and applied. Analysis of the resulting clusters revealed many known and novel characteristics of DC maturation, such as the up-regulation of specific immune response pathways. Intriguingly, more genes were down-regulated than up-regulated. Results identify a more comprehensive program of down-regulation, including many genes involved in protein synthesis, metabolism, and housekeeping needed for maintenance of cellular integrity and metabolism. CONCLUSIONS: The new filtering strategy emphasizes the importance of consistent and reproducible results when analyzing microarray data and utilizes consistency between replicate experiments as a criterion in both feature selection and clustering, without averaging or otherwise combining replicate data. Observation of a significant down-regulation program during DC maturation indicates that DC are preparing for cell death and provides a path to better understand the process. This new filtering strategy can be adapted for use in analyzing other large-scale time course data sets with replicates. "}
{"STANDARD_NAME":"GSE21033_CTRL_VS_POLYIC_STIM_DC_1H_UP","SYSTEMATIC_NAME":"M7718","ORGANISM":"Mus musculus","PMID":"20682054","AUTHORS":"Olex AL,Hiltbold EM,Leng X,Fetrow JS","GEOID":"GSE21033","EXACT_SOURCE":"GSE21033_3179_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived dendritic cellstreated by poly(IC): 0h versus 1h.","DESCRIPTION_FULL":"BACKGROUND: Dendritic cells (DC) play a central role in primary immune responses and become potent stimulators of the adaptive immune response after undergoing the critical process of maturation. Understanding the dynamics of DC maturation would provide key insights into this important process. Time course microarray experiments can provide unique insights into DC maturation dynamics. Replicate experiments are necessary to address the issues of experimental and biological variability. Statistical methods and averaging are often used to identify significant signals. Here a novel strategy for filtering of replicate time course microarray data, which identifies consistent signals between the replicates, is presented and applied to a DC time course microarray experiment. RESULTS: The temporal dynamics of DC maturation were studied by stimulating DC with poly(I:C) and following gene expression at 5 time points from 1 to 24 hours. The novel filtering strategy uses standard statistical and fold change techniques, along with the consistency of replicate temporal profiles, to identify those differentially expressed genes that were consistent in two biological replicate experiments. To address the issue of cluster reproducibility a consensus clustering method, which identifies clusters of genes whose expression varies consistently between replicates, was also developed and applied. Analysis of the resulting clusters revealed many known and novel characteristics of DC maturation, such as the up-regulation of specific immune response pathways. Intriguingly, more genes were down-regulated than up-regulated. Results identify a more comprehensive program of down-regulation, including many genes involved in protein synthesis, metabolism, and housekeeping needed for maintenance of cellular integrity and metabolism. CONCLUSIONS: The new filtering strategy emphasizes the importance of consistent and reproducible results when analyzing microarray data and utilizes consistency between replicate experiments as a criterion in both feature selection and clustering, without averaging or otherwise combining replicate data. Observation of a significant down-regulation program during DC maturation indicates that DC are preparing for cell death and provides a path to better understand the process. This new filtering strategy can be adapted for use in analyzing other large-scale time course data sets with replicates. "}
{"STANDARD_NAME":"GSE21033_3H_VS_12H_POLYIC_STIM_DC_DN","SYSTEMATIC_NAME":"M7719","ORGANISM":"Mus musculus","PMID":"20682054","AUTHORS":"Olex AL,Hiltbold EM,Leng X,Fetrow JS","GEOID":"GSE21033","EXACT_SOURCE":"GSE21033_3186_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived dendritic cellstreated by poly(IC): 3h versus 12h.","DESCRIPTION_FULL":"BACKGROUND: Dendritic cells (DC) play a central role in primary immune responses and become potent stimulators of the adaptive immune response after undergoing the critical process of maturation. Understanding the dynamics of DC maturation would provide key insights into this important process. Time course microarray experiments can provide unique insights into DC maturation dynamics. Replicate experiments are necessary to address the issues of experimental and biological variability. Statistical methods and averaging are often used to identify significant signals. Here a novel strategy for filtering of replicate time course microarray data, which identifies consistent signals between the replicates, is presented and applied to a DC time course microarray experiment. RESULTS: The temporal dynamics of DC maturation were studied by stimulating DC with poly(I:C) and following gene expression at 5 time points from 1 to 24 hours. The novel filtering strategy uses standard statistical and fold change techniques, along with the consistency of replicate temporal profiles, to identify those differentially expressed genes that were consistent in two biological replicate experiments. To address the issue of cluster reproducibility a consensus clustering method, which identifies clusters of genes whose expression varies consistently between replicates, was also developed and applied. Analysis of the resulting clusters revealed many known and novel characteristics of DC maturation, such as the up-regulation of specific immune response pathways. Intriguingly, more genes were down-regulated than up-regulated. Results identify a more comprehensive program of down-regulation, including many genes involved in protein synthesis, metabolism, and housekeeping needed for maintenance of cellular integrity and metabolism. CONCLUSIONS: The new filtering strategy emphasizes the importance of consistent and reproducible results when analyzing microarray data and utilizes consistency between replicate experiments as a criterion in both feature selection and clustering, without averaging or otherwise combining replicate data. Observation of a significant down-regulation program during DC maturation indicates that DC are preparing for cell death and provides a path to better understand the process. This new filtering strategy can be adapted for use in analyzing other large-scale time course data sets with replicates. "}
{"STANDARD_NAME":"GSE21033_1H_VS_12H_POLYIC_STIM_DC_DN","SYSTEMATIC_NAME":"M7720","ORGANISM":"Mus musculus","PMID":"20682054","AUTHORS":"Olex AL,Hiltbold EM,Leng X,Fetrow JS","GEOID":"GSE21033","EXACT_SOURCE":"GSE21033_3184_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived dendritic cellstreated by poly(IC): 1h versus 12h.","DESCRIPTION_FULL":"BACKGROUND: Dendritic cells (DC) play a central role in primary immune responses and become potent stimulators of the adaptive immune response after undergoing the critical process of maturation. Understanding the dynamics of DC maturation would provide key insights into this important process. Time course microarray experiments can provide unique insights into DC maturation dynamics. Replicate experiments are necessary to address the issues of experimental and biological variability. Statistical methods and averaging are often used to identify significant signals. Here a novel strategy for filtering of replicate time course microarray data, which identifies consistent signals between the replicates, is presented and applied to a DC time course microarray experiment. RESULTS: The temporal dynamics of DC maturation were studied by stimulating DC with poly(I:C) and following gene expression at 5 time points from 1 to 24 hours. The novel filtering strategy uses standard statistical and fold change techniques, along with the consistency of replicate temporal profiles, to identify those differentially expressed genes that were consistent in two biological replicate experiments. To address the issue of cluster reproducibility a consensus clustering method, which identifies clusters of genes whose expression varies consistently between replicates, was also developed and applied. Analysis of the resulting clusters revealed many known and novel characteristics of DC maturation, such as the up-regulation of specific immune response pathways. Intriguingly, more genes were down-regulated than up-regulated. Results identify a more comprehensive program of down-regulation, including many genes involved in protein synthesis, metabolism, and housekeeping needed for maintenance of cellular integrity and metabolism. CONCLUSIONS: The new filtering strategy emphasizes the importance of consistent and reproducible results when analyzing microarray data and utilizes consistency between replicate experiments as a criterion in both feature selection and clustering, without averaging or otherwise combining replicate data. Observation of a significant down-regulation program during DC maturation indicates that DC are preparing for cell death and provides a path to better understand the process. This new filtering strategy can be adapted for use in analyzing other large-scale time course data sets with replicates. "}
{"STANDARD_NAME":"GSE21033_3H_VS_24H_POLYIC_STIM_DC_UP","SYSTEMATIC_NAME":"M7722","ORGANISM":"Mus musculus","PMID":"20682054","AUTHORS":"Olex AL,Hiltbold EM,Leng X,Fetrow JS","GEOID":"GSE21033","EXACT_SOURCE":"GSE21033_3187_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived dendritic cellstreated by poly(IC): 3h versus 24h.","DESCRIPTION_FULL":"BACKGROUND: Dendritic cells (DC) play a central role in primary immune responses and become potent stimulators of the adaptive immune response after undergoing the critical process of maturation. Understanding the dynamics of DC maturation would provide key insights into this important process. Time course microarray experiments can provide unique insights into DC maturation dynamics. Replicate experiments are necessary to address the issues of experimental and biological variability. Statistical methods and averaging are often used to identify significant signals. Here a novel strategy for filtering of replicate time course microarray data, which identifies consistent signals between the replicates, is presented and applied to a DC time course microarray experiment. RESULTS: The temporal dynamics of DC maturation were studied by stimulating DC with poly(I:C) and following gene expression at 5 time points from 1 to 24 hours. The novel filtering strategy uses standard statistical and fold change techniques, along with the consistency of replicate temporal profiles, to identify those differentially expressed genes that were consistent in two biological replicate experiments. To address the issue of cluster reproducibility a consensus clustering method, which identifies clusters of genes whose expression varies consistently between replicates, was also developed and applied. Analysis of the resulting clusters revealed many known and novel characteristics of DC maturation, such as the up-regulation of specific immune response pathways. Intriguingly, more genes were down-regulated than up-regulated. Results identify a more comprehensive program of down-regulation, including many genes involved in protein synthesis, metabolism, and housekeeping needed for maintenance of cellular integrity and metabolism. CONCLUSIONS: The new filtering strategy emphasizes the importance of consistent and reproducible results when analyzing microarray data and utilizes consistency between replicate experiments as a criterion in both feature selection and clustering, without averaging or otherwise combining replicate data. Observation of a significant down-regulation program during DC maturation indicates that DC are preparing for cell death and provides a path to better understand the process. This new filtering strategy can be adapted for use in analyzing other large-scale time course data sets with replicates. "}
{"STANDARD_NAME":"GSE21033_3H_VS_24H_POLYIC_STIM_DC_DN","SYSTEMATIC_NAME":"M7723","ORGANISM":"Mus musculus","PMID":"20682054","AUTHORS":"Olex AL,Hiltbold EM,Leng X,Fetrow JS","GEOID":"GSE21033","EXACT_SOURCE":"GSE21033_3187_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived dendritic cellstreated by poly(IC): 3h versus 24h.","DESCRIPTION_FULL":"BACKGROUND: Dendritic cells (DC) play a central role in primary immune responses and become potent stimulators of the adaptive immune response after undergoing the critical process of maturation. Understanding the dynamics of DC maturation would provide key insights into this important process. Time course microarray experiments can provide unique insights into DC maturation dynamics. Replicate experiments are necessary to address the issues of experimental and biological variability. Statistical methods and averaging are often used to identify significant signals. Here a novel strategy for filtering of replicate time course microarray data, which identifies consistent signals between the replicates, is presented and applied to a DC time course microarray experiment. RESULTS: The temporal dynamics of DC maturation were studied by stimulating DC with poly(I:C) and following gene expression at 5 time points from 1 to 24 hours. The novel filtering strategy uses standard statistical and fold change techniques, along with the consistency of replicate temporal profiles, to identify those differentially expressed genes that were consistent in two biological replicate experiments. To address the issue of cluster reproducibility a consensus clustering method, which identifies clusters of genes whose expression varies consistently between replicates, was also developed and applied. Analysis of the resulting clusters revealed many known and novel characteristics of DC maturation, such as the up-regulation of specific immune response pathways. Intriguingly, more genes were down-regulated than up-regulated. Results identify a more comprehensive program of down-regulation, including many genes involved in protein synthesis, metabolism, and housekeeping needed for maintenance of cellular integrity and metabolism. CONCLUSIONS: The new filtering strategy emphasizes the importance of consistent and reproducible results when analyzing microarray data and utilizes consistency between replicate experiments as a criterion in both feature selection and clustering, without averaging or otherwise combining replicate data. Observation of a significant down-regulation program during DC maturation indicates that DC are preparing for cell death and provides a path to better understand the process. This new filtering strategy can be adapted for use in analyzing other large-scale time course data sets with replicates. "}
{"STANDARD_NAME":"GSE21033_1H_VS_12H_POLYIC_STIM_DC_UP","SYSTEMATIC_NAME":"M7725","ORGANISM":"Mus musculus","PMID":"20682054","AUTHORS":"Olex AL,Hiltbold EM,Leng X,Fetrow JS","GEOID":"GSE21033","EXACT_SOURCE":"GSE21033_3184_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived dendritic cellstreated by poly(IC): 1h versus 12h.","DESCRIPTION_FULL":"BACKGROUND: Dendritic cells (DC) play a central role in primary immune responses and become potent stimulators of the adaptive immune response after undergoing the critical process of maturation. Understanding the dynamics of DC maturation would provide key insights into this important process. Time course microarray experiments can provide unique insights into DC maturation dynamics. Replicate experiments are necessary to address the issues of experimental and biological variability. Statistical methods and averaging are often used to identify significant signals. Here a novel strategy for filtering of replicate time course microarray data, which identifies consistent signals between the replicates, is presented and applied to a DC time course microarray experiment. RESULTS: The temporal dynamics of DC maturation were studied by stimulating DC with poly(I:C) and following gene expression at 5 time points from 1 to 24 hours. The novel filtering strategy uses standard statistical and fold change techniques, along with the consistency of replicate temporal profiles, to identify those differentially expressed genes that were consistent in two biological replicate experiments. To address the issue of cluster reproducibility a consensus clustering method, which identifies clusters of genes whose expression varies consistently between replicates, was also developed and applied. Analysis of the resulting clusters revealed many known and novel characteristics of DC maturation, such as the up-regulation of specific immune response pathways. Intriguingly, more genes were down-regulated than up-regulated. Results identify a more comprehensive program of down-regulation, including many genes involved in protein synthesis, metabolism, and housekeeping needed for maintenance of cellular integrity and metabolism. CONCLUSIONS: The new filtering strategy emphasizes the importance of consistent and reproducible results when analyzing microarray data and utilizes consistency between replicate experiments as a criterion in both feature selection and clustering, without averaging or otherwise combining replicate data. Observation of a significant down-regulation program during DC maturation indicates that DC are preparing for cell death and provides a path to better understand the process. This new filtering strategy can be adapted for use in analyzing other large-scale time course data sets with replicates. "}
{"STANDARD_NAME":"GSE21033_CTRL_VS_POLYIC_STIM_DC_12H_UP","SYSTEMATIC_NAME":"M7726","ORGANISM":"Mus musculus","PMID":"20682054","AUTHORS":"Olex AL,Hiltbold EM,Leng X,Fetrow JS","GEOID":"GSE21033","EXACT_SOURCE":"GSE21033_3182_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived dendritic cellstreated by poly(IC): 0h versus 12h.","DESCRIPTION_FULL":"BACKGROUND: Dendritic cells (DC) play a central role in primary immune responses and become potent stimulators of the adaptive immune response after undergoing the critical process of maturation. Understanding the dynamics of DC maturation would provide key insights into this important process. Time course microarray experiments can provide unique insights into DC maturation dynamics. Replicate experiments are necessary to address the issues of experimental and biological variability. Statistical methods and averaging are often used to identify significant signals. Here a novel strategy for filtering of replicate time course microarray data, which identifies consistent signals between the replicates, is presented and applied to a DC time course microarray experiment. RESULTS: The temporal dynamics of DC maturation were studied by stimulating DC with poly(I:C) and following gene expression at 5 time points from 1 to 24 hours. The novel filtering strategy uses standard statistical and fold change techniques, along with the consistency of replicate temporal profiles, to identify those differentially expressed genes that were consistent in two biological replicate experiments. To address the issue of cluster reproducibility a consensus clustering method, which identifies clusters of genes whose expression varies consistently between replicates, was also developed and applied. Analysis of the resulting clusters revealed many known and novel characteristics of DC maturation, such as the up-regulation of specific immune response pathways. Intriguingly, more genes were down-regulated than up-regulated. Results identify a more comprehensive program of down-regulation, including many genes involved in protein synthesis, metabolism, and housekeeping needed for maintenance of cellular integrity and metabolism. CONCLUSIONS: The new filtering strategy emphasizes the importance of consistent and reproducible results when analyzing microarray data and utilizes consistency between replicate experiments as a criterion in both feature selection and clustering, without averaging or otherwise combining replicate data. Observation of a significant down-regulation program during DC maturation indicates that DC are preparing for cell death and provides a path to better understand the process. This new filtering strategy can be adapted for use in analyzing other large-scale time course data sets with replicates. "}
{"STANDARD_NAME":"GSE21033_1H_VS_24H_POLYIC_STIM_DC_UP","SYSTEMATIC_NAME":"M7728","ORGANISM":"Mus musculus","PMID":"20682054","AUTHORS":"Olex AL,Hiltbold EM,Leng X,Fetrow JS","GEOID":"GSE21033","EXACT_SOURCE":"GSE21033_3185_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived dendritic cellstreated by poly(IC): 1h versus 24h.","DESCRIPTION_FULL":"BACKGROUND: Dendritic cells (DC) play a central role in primary immune responses and become potent stimulators of the adaptive immune response after undergoing the critical process of maturation. Understanding the dynamics of DC maturation would provide key insights into this important process. Time course microarray experiments can provide unique insights into DC maturation dynamics. Replicate experiments are necessary to address the issues of experimental and biological variability. Statistical methods and averaging are often used to identify significant signals. Here a novel strategy for filtering of replicate time course microarray data, which identifies consistent signals between the replicates, is presented and applied to a DC time course microarray experiment. RESULTS: The temporal dynamics of DC maturation were studied by stimulating DC with poly(I:C) and following gene expression at 5 time points from 1 to 24 hours. The novel filtering strategy uses standard statistical and fold change techniques, along with the consistency of replicate temporal profiles, to identify those differentially expressed genes that were consistent in two biological replicate experiments. To address the issue of cluster reproducibility a consensus clustering method, which identifies clusters of genes whose expression varies consistently between replicates, was also developed and applied. Analysis of the resulting clusters revealed many known and novel characteristics of DC maturation, such as the up-regulation of specific immune response pathways. Intriguingly, more genes were down-regulated than up-regulated. Results identify a more comprehensive program of down-regulation, including many genes involved in protein synthesis, metabolism, and housekeeping needed for maintenance of cellular integrity and metabolism. CONCLUSIONS: The new filtering strategy emphasizes the importance of consistent and reproducible results when analyzing microarray data and utilizes consistency between replicate experiments as a criterion in both feature selection and clustering, without averaging or otherwise combining replicate data. Observation of a significant down-regulation program during DC maturation indicates that DC are preparing for cell death and provides a path to better understand the process. This new filtering strategy can be adapted for use in analyzing other large-scale time course data sets with replicates. "}
{"STANDARD_NAME":"GSE21033_1H_VS_24H_POLYIC_STIM_DC_DN","SYSTEMATIC_NAME":"M7729","ORGANISM":"Mus musculus","PMID":"20682054","AUTHORS":"Olex AL,Hiltbold EM,Leng X,Fetrow JS","GEOID":"GSE21033","EXACT_SOURCE":"GSE21033_3185_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived dendritic cellstreated by poly(IC): 1h versus 24h.","DESCRIPTION_FULL":"BACKGROUND: Dendritic cells (DC) play a central role in primary immune responses and become potent stimulators of the adaptive immune response after undergoing the critical process of maturation. Understanding the dynamics of DC maturation would provide key insights into this important process. Time course microarray experiments can provide unique insights into DC maturation dynamics. Replicate experiments are necessary to address the issues of experimental and biological variability. Statistical methods and averaging are often used to identify significant signals. Here a novel strategy for filtering of replicate time course microarray data, which identifies consistent signals between the replicates, is presented and applied to a DC time course microarray experiment. RESULTS: The temporal dynamics of DC maturation were studied by stimulating DC with poly(I:C) and following gene expression at 5 time points from 1 to 24 hours. The novel filtering strategy uses standard statistical and fold change techniques, along with the consistency of replicate temporal profiles, to identify those differentially expressed genes that were consistent in two biological replicate experiments. To address the issue of cluster reproducibility a consensus clustering method, which identifies clusters of genes whose expression varies consistently between replicates, was also developed and applied. Analysis of the resulting clusters revealed many known and novel characteristics of DC maturation, such as the up-regulation of specific immune response pathways. Intriguingly, more genes were down-regulated than up-regulated. Results identify a more comprehensive program of down-regulation, including many genes involved in protein synthesis, metabolism, and housekeeping needed for maintenance of cellular integrity and metabolism. CONCLUSIONS: The new filtering strategy emphasizes the importance of consistent and reproducible results when analyzing microarray data and utilizes consistency between replicate experiments as a criterion in both feature selection and clustering, without averaging or otherwise combining replicate data. Observation of a significant down-regulation program during DC maturation indicates that DC are preparing for cell death and provides a path to better understand the process. This new filtering strategy can be adapted for use in analyzing other large-scale time course data sets with replicates. "}
{"STANDARD_NAME":"GSE21033_3H_VS_12H_POLYIC_STIM_DC_UP","SYSTEMATIC_NAME":"M7730","ORGANISM":"Mus musculus","PMID":"20682054","AUTHORS":"Olex AL,Hiltbold EM,Leng X,Fetrow JS","GEOID":"GSE21033","EXACT_SOURCE":"GSE21033_3186_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived dendritic cellstreated by poly(IC): 3h versus 12h.","DESCRIPTION_FULL":"BACKGROUND: Dendritic cells (DC) play a central role in primary immune responses and become potent stimulators of the adaptive immune response after undergoing the critical process of maturation. Understanding the dynamics of DC maturation would provide key insights into this important process. Time course microarray experiments can provide unique insights into DC maturation dynamics. Replicate experiments are necessary to address the issues of experimental and biological variability. Statistical methods and averaging are often used to identify significant signals. Here a novel strategy for filtering of replicate time course microarray data, which identifies consistent signals between the replicates, is presented and applied to a DC time course microarray experiment. RESULTS: The temporal dynamics of DC maturation were studied by stimulating DC with poly(I:C) and following gene expression at 5 time points from 1 to 24 hours. The novel filtering strategy uses standard statistical and fold change techniques, along with the consistency of replicate temporal profiles, to identify those differentially expressed genes that were consistent in two biological replicate experiments. To address the issue of cluster reproducibility a consensus clustering method, which identifies clusters of genes whose expression varies consistently between replicates, was also developed and applied. Analysis of the resulting clusters revealed many known and novel characteristics of DC maturation, such as the up-regulation of specific immune response pathways. Intriguingly, more genes were down-regulated than up-regulated. Results identify a more comprehensive program of down-regulation, including many genes involved in protein synthesis, metabolism, and housekeeping needed for maintenance of cellular integrity and metabolism. CONCLUSIONS: The new filtering strategy emphasizes the importance of consistent and reproducible results when analyzing microarray data and utilizes consistency between replicate experiments as a criterion in both feature selection and clustering, without averaging or otherwise combining replicate data. Observation of a significant down-regulation program during DC maturation indicates that DC are preparing for cell death and provides a path to better understand the process. This new filtering strategy can be adapted for use in analyzing other large-scale time course data sets with replicates. "}
{"STANDARD_NAME":"GSE21033_CTRL_VS_POLYIC_STIM_DC_24H_UP","SYSTEMATIC_NAME":"M7731","ORGANISM":"Mus musculus","PMID":"20682054","AUTHORS":"Olex AL,Hiltbold EM,Leng X,Fetrow JS","GEOID":"GSE21033","EXACT_SOURCE":"GSE21033_3183_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived dendritic cellstreated by poly(IC): 0h versus 24h.","DESCRIPTION_FULL":"BACKGROUND: Dendritic cells (DC) play a central role in primary immune responses and become potent stimulators of the adaptive immune response after undergoing the critical process of maturation. Understanding the dynamics of DC maturation would provide key insights into this important process. Time course microarray experiments can provide unique insights into DC maturation dynamics. Replicate experiments are necessary to address the issues of experimental and biological variability. Statistical methods and averaging are often used to identify significant signals. Here a novel strategy for filtering of replicate time course microarray data, which identifies consistent signals between the replicates, is presented and applied to a DC time course microarray experiment. RESULTS: The temporal dynamics of DC maturation were studied by stimulating DC with poly(I:C) and following gene expression at 5 time points from 1 to 24 hours. The novel filtering strategy uses standard statistical and fold change techniques, along with the consistency of replicate temporal profiles, to identify those differentially expressed genes that were consistent in two biological replicate experiments. To address the issue of cluster reproducibility a consensus clustering method, which identifies clusters of genes whose expression varies consistently between replicates, was also developed and applied. Analysis of the resulting clusters revealed many known and novel characteristics of DC maturation, such as the up-regulation of specific immune response pathways. Intriguingly, more genes were down-regulated than up-regulated. Results identify a more comprehensive program of down-regulation, including many genes involved in protein synthesis, metabolism, and housekeeping needed for maintenance of cellular integrity and metabolism. CONCLUSIONS: The new filtering strategy emphasizes the importance of consistent and reproducible results when analyzing microarray data and utilizes consistency between replicate experiments as a criterion in both feature selection and clustering, without averaging or otherwise combining replicate data. Observation of a significant down-regulation program during DC maturation indicates that DC are preparing for cell death and provides a path to better understand the process. This new filtering strategy can be adapted for use in analyzing other large-scale time course data sets with replicates. "}
{"STANDARD_NAME":"GSE21033_CTRL_VS_POLYIC_STIM_DC_6H_DN","SYSTEMATIC_NAME":"M7733","ORGANISM":"Mus musculus","PMID":"20682054","AUTHORS":"Olex AL,Hiltbold EM,Leng X,Fetrow JS","GEOID":"GSE21033","EXACT_SOURCE":"GSE21033_3181_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived dendritic cellstreated by poly(IC): 0h versus 6h.","DESCRIPTION_FULL":"BACKGROUND: Dendritic cells (DC) play a central role in primary immune responses and become potent stimulators of the adaptive immune response after undergoing the critical process of maturation. Understanding the dynamics of DC maturation would provide key insights into this important process. Time course microarray experiments can provide unique insights into DC maturation dynamics. Replicate experiments are necessary to address the issues of experimental and biological variability. Statistical methods and averaging are often used to identify significant signals. Here a novel strategy for filtering of replicate time course microarray data, which identifies consistent signals between the replicates, is presented and applied to a DC time course microarray experiment. RESULTS: The temporal dynamics of DC maturation were studied by stimulating DC with poly(I:C) and following gene expression at 5 time points from 1 to 24 hours. The novel filtering strategy uses standard statistical and fold change techniques, along with the consistency of replicate temporal profiles, to identify those differentially expressed genes that were consistent in two biological replicate experiments. To address the issue of cluster reproducibility a consensus clustering method, which identifies clusters of genes whose expression varies consistently between replicates, was also developed and applied. Analysis of the resulting clusters revealed many known and novel characteristics of DC maturation, such as the up-regulation of specific immune response pathways. Intriguingly, more genes were down-regulated than up-regulated. Results identify a more comprehensive program of down-regulation, including many genes involved in protein synthesis, metabolism, and housekeeping needed for maintenance of cellular integrity and metabolism. CONCLUSIONS: The new filtering strategy emphasizes the importance of consistent and reproducible results when analyzing microarray data and utilizes consistency between replicate experiments as a criterion in both feature selection and clustering, without averaging or otherwise combining replicate data. Observation of a significant down-regulation program during DC maturation indicates that DC are preparing for cell death and provides a path to better understand the process. This new filtering strategy can be adapted for use in analyzing other large-scale time course data sets with replicates. "}
{"STANDARD_NAME":"GSE21033_CTRL_VS_POLYIC_STIM_DC_24H_DN","SYSTEMATIC_NAME":"M7734","ORGANISM":"Mus musculus","PMID":"20682054","AUTHORS":"Olex AL,Hiltbold EM,Leng X,Fetrow JS","GEOID":"GSE21033","EXACT_SOURCE":"GSE21033_3183_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived dendritic cellstreated by poly(IC): 0h versus 24h.","DESCRIPTION_FULL":"BACKGROUND: Dendritic cells (DC) play a central role in primary immune responses and become potent stimulators of the adaptive immune response after undergoing the critical process of maturation. Understanding the dynamics of DC maturation would provide key insights into this important process. Time course microarray experiments can provide unique insights into DC maturation dynamics. Replicate experiments are necessary to address the issues of experimental and biological variability. Statistical methods and averaging are often used to identify significant signals. Here a novel strategy for filtering of replicate time course microarray data, which identifies consistent signals between the replicates, is presented and applied to a DC time course microarray experiment. RESULTS: The temporal dynamics of DC maturation were studied by stimulating DC with poly(I:C) and following gene expression at 5 time points from 1 to 24 hours. The novel filtering strategy uses standard statistical and fold change techniques, along with the consistency of replicate temporal profiles, to identify those differentially expressed genes that were consistent in two biological replicate experiments. To address the issue of cluster reproducibility a consensus clustering method, which identifies clusters of genes whose expression varies consistently between replicates, was also developed and applied. Analysis of the resulting clusters revealed many known and novel characteristics of DC maturation, such as the up-regulation of specific immune response pathways. Intriguingly, more genes were down-regulated than up-regulated. Results identify a more comprehensive program of down-regulation, including many genes involved in protein synthesis, metabolism, and housekeeping needed for maintenance of cellular integrity and metabolism. CONCLUSIONS: The new filtering strategy emphasizes the importance of consistent and reproducible results when analyzing microarray data and utilizes consistency between replicate experiments as a criterion in both feature selection and clustering, without averaging or otherwise combining replicate data. Observation of a significant down-regulation program during DC maturation indicates that DC are preparing for cell death and provides a path to better understand the process. This new filtering strategy can be adapted for use in analyzing other large-scale time course data sets with replicates. "}
{"STANDARD_NAME":"GSE23308_WT_VS_MINERALCORTICOID_REC_KO_MACROPHAGE_CORTICOSTERONE_TREATED_UP","SYSTEMATIC_NAME":"M7736","ORGANISM":"Mus musculus","PMID":"20697155","AUTHORS":"Usher MG,Duan SZ,Ivaschenko CY,Frieler RA,Berger S,Schütz G,Lumeng CN,Mortensen RM","GEOID":"GSE23308","EXACT_SOURCE":"GSE23308_3376_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages treated by corticosterone [PubChem=5839]: wildtype versus NR3C2 [GeneID=4306] knockout.","DESCRIPTION_FULL":"Inappropriate excess of the steroid hormone aldosterone, which is a mineralocorticoid receptor (MR) agonist, is associated with increased inflammation and risk of cardiovascular disease. MR antagonists are cardioprotective and antiinflammatory in vivo, and evidence suggests that they mediate these effects in part by aldosterone- independent mechanisms. We used affymetrix to characterize the effect of Mineralocorticoid Receptor deletion on macrophage transcriptional profile, and identify its requirement in normal glucocorticoid signalling."}
{"STANDARD_NAME":"GSE23308_WT_VS_MINERALCORTICOID_REC_KO_MACROPHAGE_DN","SYSTEMATIC_NAME":"M7740","ORGANISM":"Mus musculus","PMID":"20697155","AUTHORS":"Usher MG,Duan SZ,Ivaschenko CY,Frieler RA,Berger S,Schütz G,Lumeng CN,Mortensen RM","GEOID":"GSE23308","EXACT_SOURCE":"GSE23308_3374_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages: wildtype versus NR3C2 [GeneID=4306] knockout.","DESCRIPTION_FULL":"Inappropriate excess of the steroid hormone aldosterone, which is a mineralocorticoid receptor (MR) agonist, is associated with increased inflammation and risk of cardiovascular disease. MR antagonists are cardioprotective and antiinflammatory in vivo, and evidence suggests that they mediate these effects in part by aldosterone- independent mechanisms. We used affymetrix to characterize the effect of Mineralocorticoid Receptor deletion on macrophage transcriptional profile, and identify its requirement in normal glucocorticoid signalling."}
{"STANDARD_NAME":"GSE23308_CTRL_VS_CORTICOSTERONE_TREATED_MACROPHAGE_DN","SYSTEMATIC_NAME":"M7741","ORGANISM":"Mus musculus","PMID":"20697155","AUTHORS":"Usher MG,Duan SZ,Ivaschenko CY,Frieler RA,Berger S,Schütz G,Lumeng CN,Mortensen RM","GEOID":"GSE23308","EXACT_SOURCE":"GSE23308_3373_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages: untreated versus corticosterone [PubChem=5839].","DESCRIPTION_FULL":"Inappropriate excess of the steroid hormone aldosterone, which is a mineralocorticoid receptor (MR) agonist, is associated with increased inflammation and risk of cardiovascular disease. MR antagonists are cardioprotective and antiinflammatory in vivo, and evidence suggests that they mediate these effects in part by aldosterone- independent mechanisms. We used affymetrix to characterize the effect of Mineralocorticoid Receptor deletion on macrophage transcriptional profile, and identify its requirement in normal glucocorticoid signalling."}
{"STANDARD_NAME":"GSE23308_WT_VS_MINERALCORTICOID_REC_KO_MACROPHAGE_UP","SYSTEMATIC_NAME":"M7742","ORGANISM":"Mus musculus","PMID":"20697155","AUTHORS":"Usher MG,Duan SZ,Ivaschenko CY,Frieler RA,Berger S,Schütz G,Lumeng CN,Mortensen RM","GEOID":"GSE23308","EXACT_SOURCE":"GSE23308_3374_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages: wildtype versus NR3C2 [GeneID=4306] knockout.","DESCRIPTION_FULL":"Inappropriate excess of the steroid hormone aldosterone, which is a mineralocorticoid receptor (MR) agonist, is associated with increased inflammation and risk of cardiovascular disease. MR antagonists are cardioprotective and antiinflammatory in vivo, and evidence suggests that they mediate these effects in part by aldosterone- independent mechanisms. We used affymetrix to characterize the effect of Mineralocorticoid Receptor deletion on macrophage transcriptional profile, and identify its requirement in normal glucocorticoid signalling."}
{"STANDARD_NAME":"GSE23308_CTRL_VS_CORTICOSTERONE_TREATED_MACROPHAGE_MINERALCORTICOID_REC_KO_DN","SYSTEMATIC_NAME":"M7744","ORGANISM":"Mus musculus","PMID":"20697155","AUTHORS":"Usher MG,Duan SZ,Ivaschenko CY,Frieler RA,Berger S,Schütz G,Lumeng CN,Mortensen RM","GEOID":"GSE23308","EXACT_SOURCE":"GSE23308_3375_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages with NR3C2 [GeneID=4306] knockout: untreated versus corticosterone [PubChem=5839].","DESCRIPTION_FULL":"Inappropriate excess of the steroid hormone aldosterone, which is a mineralocorticoid receptor (MR) agonist, is associated with increased inflammation and risk of cardiovascular disease. MR antagonists are cardioprotective and antiinflammatory in vivo, and evidence suggests that they mediate these effects in part by aldosterone- independent mechanisms. We used affymetrix to characterize the effect of Mineralocorticoid Receptor deletion on macrophage transcriptional profile, and identify its requirement in normal glucocorticoid signalling."}
{"STANDARD_NAME":"GSE23308_CTRL_VS_CORTICOSTERONE_TREATED_MACROPHAGE_UP","SYSTEMATIC_NAME":"M7745","ORGANISM":"Mus musculus","PMID":"20697155","AUTHORS":"Usher MG,Duan SZ,Ivaschenko CY,Frieler RA,Berger S,Schütz G,Lumeng CN,Mortensen RM","GEOID":"GSE23308","EXACT_SOURCE":"GSE23308_3373_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages: untreated versus corticosterone [PubChem=5839].","DESCRIPTION_FULL":"Inappropriate excess of the steroid hormone aldosterone, which is a mineralocorticoid receptor (MR) agonist, is associated with increased inflammation and risk of cardiovascular disease. MR antagonists are cardioprotective and antiinflammatory in vivo, and evidence suggests that they mediate these effects in part by aldosterone- independent mechanisms. We used affymetrix to characterize the effect of Mineralocorticoid Receptor deletion on macrophage transcriptional profile, and identify its requirement in normal glucocorticoid signalling."}
{"STANDARD_NAME":"GSE23308_CTRL_VS_CORTICOSTERONE_TREATED_MACROPHAGE_MINERALCORTICOID_REC_KO_UP","SYSTEMATIC_NAME":"M7746","ORGANISM":"Mus musculus","PMID":"20697155","AUTHORS":"Usher MG,Duan SZ,Ivaschenko CY,Frieler RA,Berger S,Schütz G,Lumeng CN,Mortensen RM","GEOID":"GSE23308","EXACT_SOURCE":"GSE23308_3375_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages with NR3C2 [GeneID=4306] knockout: untreated versus corticosterone [PubChem=5839].","DESCRIPTION_FULL":"Inappropriate excess of the steroid hormone aldosterone, which is a mineralocorticoid receptor (MR) agonist, is associated with increased inflammation and risk of cardiovascular disease. MR antagonists are cardioprotective and antiinflammatory in vivo, and evidence suggests that they mediate these effects in part by aldosterone- independent mechanisms. We used affymetrix to characterize the effect of Mineralocorticoid Receptor deletion on macrophage transcriptional profile, and identify its requirement in normal glucocorticoid signalling."}
{"STANDARD_NAME":"GSE23308_WT_VS_MINERALCORTICOID_REC_KO_MACROPHAGE_CORTICOSTERONE_TREATED_DN","SYSTEMATIC_NAME":"M7748","ORGANISM":"Mus musculus","PMID":"20697155","AUTHORS":"Usher MG,Duan SZ,Ivaschenko CY,Frieler RA,Berger S,Schütz G,Lumeng CN,Mortensen RM","GEOID":"GSE23308","EXACT_SOURCE":"GSE23308_3376_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages treated by corticosterone [PubChem=5839]: wildtype versus NR3C2 [GeneID=4306] knockout.","DESCRIPTION_FULL":"Inappropriate excess of the steroid hormone aldosterone, which is a mineralocorticoid receptor (MR) agonist, is associated with increased inflammation and risk of cardiovascular disease. MR antagonists are cardioprotective and antiinflammatory in vivo, and evidence suggests that they mediate these effects in part by aldosterone- independent mechanisms. We used affymetrix to characterize the effect of Mineralocorticoid Receptor deletion on macrophage transcriptional profile, and identify its requirement in normal glucocorticoid signalling."}
{"STANDARD_NAME":"GSE22935_WT_VS_MYD88_KO_MACROPHAGE_24H_MBOVIS_BCG_STIM_UP","SYSTEMATIC_NAME":"M7749","ORGANISM":"Mus musculus","PMID":"20716764","AUTHORS":"Qualls JE,Neale G,Smith AM,Koo MS,DeFreitas AA,Zhang H,Kaplan G,Watowich SS,Murray PJ","GEOID":"GSE22935","EXACT_SOURCE":"GSE22935_2873_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages 24h after M. bovis BCG infection: wildtype versus MYD88 [GeneID=4615] knockout.","DESCRIPTION_FULL":"Nitric oxide (NO) produced by macrophages (MØs) is toxic to both host tissues and invading pathogens and its regulation is therefore essential to suppress host cytotoxicity. MØ arginase 1 (Arg1) inhibits NO production by competing with NO synthases for arginine, the common substrate of NO synthases and arginases. Two signal transduction pathways control Arg1 expression in MØs. First, a MyD88-dependent pathway induces Arg1 in intracellular infections, while a second Stat6-dependent pathway is required for Arg1 expression in alternativelyactivated MØs. We found that mycobacteria-infected MØs produce soluble factors that induce Arg1 in an autocrine-paracrine manner via Stat3. We identify these factors as IL-6, IL-10 and GCSF. We further establish that Arg1 expression is controlled by the MyD88-dependent production of IL-6, IL-10 and G-CSF rather than cell intrinsic MyD88 signaling to Arg1. Our data reveal the MyD88-dependent pathway of Arg1induction following BCG infection requires Stat3 activation and may result in the development of an immunosuppressive niche in granulomas due to the induced Arg1 production in surrounding uninfected MØs"}
{"STANDARD_NAME":"GSE22935_UNSTIM_VS_24H_MBOVIS_BCG_STIM_MACROPHAGE_DN","SYSTEMATIC_NAME":"M7750","ORGANISM":"Mus musculus","PMID":"20716764","AUTHORS":"Qualls JE,Neale G,Smith AM,Koo MS,DeFreitas AA,Zhang H,Kaplan G,Watowich SS,Murray PJ","GEOID":"GSE22935","EXACT_SOURCE":"GSE22935_2876_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages: untreated versus 24h after M. bovis BCG infection.","DESCRIPTION_FULL":"Nitric oxide (NO) produced by macrophages (MØs) is toxic to both host tissues and invading pathogens and its regulation is therefore essential to suppress host cytotoxicity. MØ arginase 1 (Arg1) inhibits NO production by competing with NO synthases for arginine, the common substrate of NO synthases and arginases. Two signal transduction pathways control Arg1 expression in MØs. First, a MyD88-dependent pathway induces Arg1 in intracellular infections, while a second Stat6-dependent pathway is required for Arg1 expression in alternativelyactivated MØs. We found that mycobacteria-infected MØs produce soluble factors that induce Arg1 in an autocrine-paracrine manner via Stat3. We identify these factors as IL-6, IL-10 and GCSF. We further establish that Arg1 expression is controlled by the MyD88-dependent production of IL-6, IL-10 and G-CSF rather than cell intrinsic MyD88 signaling to Arg1. Our data reveal the MyD88-dependent pathway of Arg1induction following BCG infection requires Stat3 activation and may result in the development of an immunosuppressive niche in granulomas due to the induced Arg1 production in surrounding uninfected MØs"}
{"STANDARD_NAME":"GSE22935_WT_VS_MYD88_KO_MACROPHAGE_12H_MBOVIS_BCG_STIM_DN","SYSTEMATIC_NAME":"M7751","ORGANISM":"Mus musculus","PMID":"20716764","AUTHORS":"Qualls JE,Neale G,Smith AM,Koo MS,DeFreitas AA,Zhang H,Kaplan G,Watowich SS,Murray PJ","GEOID":"GSE22935","EXACT_SOURCE":"GSE22935_2872_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages 12h after M. bovis BCG infection: wildtype versus MYD88 [GeneID=4615] knockout.","DESCRIPTION_FULL":"Nitric oxide (NO) produced by macrophages (MØs) is toxic to both host tissues and invading pathogens and its regulation is therefore essential to suppress host cytotoxicity. MØ arginase 1 (Arg1) inhibits NO production by competing with NO synthases for arginine, the common substrate of NO synthases and arginases. Two signal transduction pathways control Arg1 expression in MØs. First, a MyD88-dependent pathway induces Arg1 in intracellular infections, while a second Stat6-dependent pathway is required for Arg1 expression in alternativelyactivated MØs. We found that mycobacteria-infected MØs produce soluble factors that induce Arg1 in an autocrine-paracrine manner via Stat3. We identify these factors as IL-6, IL-10 and GCSF. We further establish that Arg1 expression is controlled by the MyD88-dependent production of IL-6, IL-10 and G-CSF rather than cell intrinsic MyD88 signaling to Arg1. Our data reveal the MyD88-dependent pathway of Arg1induction following BCG infection requires Stat3 activation and may result in the development of an immunosuppressive niche in granulomas due to the induced Arg1 production in surrounding uninfected MØs"}
{"STANDARD_NAME":"GSE22935_UNSTIM_VS_12H_MBOVIS_BCG_STIM_MACROPHAGE_UP","SYSTEMATIC_NAME":"M7752","ORGANISM":"Mus musculus","PMID":"20716764","AUTHORS":"Qualls JE,Neale G,Smith AM,Koo MS,DeFreitas AA,Zhang H,Kaplan G,Watowich SS,Murray PJ","GEOID":"GSE22935","EXACT_SOURCE":"GSE22935_2875_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages: untreated versus 12h after M. bovis BCG infection.","DESCRIPTION_FULL":"Nitric oxide (NO) produced by macrophages (MØs) is toxic to both host tissues and invading pathogens and its regulation is therefore essential to suppress host cytotoxicity. MØ arginase 1 (Arg1) inhibits NO production by competing with NO synthases for arginine, the common substrate of NO synthases and arginases. Two signal transduction pathways control Arg1 expression in MØs. First, a MyD88-dependent pathway induces Arg1 in intracellular infections, while a second Stat6-dependent pathway is required for Arg1 expression in alternativelyactivated MØs. We found that mycobacteria-infected MØs produce soluble factors that induce Arg1 in an autocrine-paracrine manner via Stat3. We identify these factors as IL-6, IL-10 and GCSF. We further establish that Arg1 expression is controlled by the MyD88-dependent production of IL-6, IL-10 and G-CSF rather than cell intrinsic MyD88 signaling to Arg1. Our data reveal the MyD88-dependent pathway of Arg1induction following BCG infection requires Stat3 activation and may result in the development of an immunosuppressive niche in granulomas due to the induced Arg1 production in surrounding uninfected MØs"}
{"STANDARD_NAME":"GSE22935_WT_VS_MYD88_KO_MACROPHAGE_24H_MBOVIS_BCG_STIM_DN","SYSTEMATIC_NAME":"M7753","ORGANISM":"Mus musculus","PMID":"20716764","AUTHORS":"Qualls JE,Neale G,Smith AM,Koo MS,DeFreitas AA,Zhang H,Kaplan G,Watowich SS,Murray PJ","GEOID":"GSE22935","EXACT_SOURCE":"GSE22935_2873_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages 24h after M. bovis BCG infection: wildtype versus MYD88 [GeneID=4615] knockout.","DESCRIPTION_FULL":"Nitric oxide (NO) produced by macrophages (MØs) is toxic to both host tissues and invading pathogens and its regulation is therefore essential to suppress host cytotoxicity. MØ arginase 1 (Arg1) inhibits NO production by competing with NO synthases for arginine, the common substrate of NO synthases and arginases. Two signal transduction pathways control Arg1 expression in MØs. First, a MyD88-dependent pathway induces Arg1 in intracellular infections, while a second Stat6-dependent pathway is required for Arg1 expression in alternativelyactivated MØs. We found that mycobacteria-infected MØs produce soluble factors that induce Arg1 in an autocrine-paracrine manner via Stat3. We identify these factors as IL-6, IL-10 and GCSF. We further establish that Arg1 expression is controlled by the MyD88-dependent production of IL-6, IL-10 and G-CSF rather than cell intrinsic MyD88 signaling to Arg1. Our data reveal the MyD88-dependent pathway of Arg1induction following BCG infection requires Stat3 activation and may result in the development of an immunosuppressive niche in granulomas due to the induced Arg1 production in surrounding uninfected MØs"}
{"STANDARD_NAME":"GSE22935_UNSTIM_VS_24H_MBOVIS_BCG_STIM_MACROPHAGE_UP","SYSTEMATIC_NAME":"M7754","ORGANISM":"Mus musculus","PMID":"20716764","AUTHORS":"Qualls JE,Neale G,Smith AM,Koo MS,DeFreitas AA,Zhang H,Kaplan G,Watowich SS,Murray PJ","GEOID":"GSE22935","EXACT_SOURCE":"GSE22935_2876_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages: untreated versus 24h after M. bovis BCG infection.","DESCRIPTION_FULL":"Nitric oxide (NO) produced by macrophages (MØs) is toxic to both host tissues and invading pathogens and its regulation is therefore essential to suppress host cytotoxicity. MØ arginase 1 (Arg1) inhibits NO production by competing with NO synthases for arginine, the common substrate of NO synthases and arginases. Two signal transduction pathways control Arg1 expression in MØs. First, a MyD88-dependent pathway induces Arg1 in intracellular infections, while a second Stat6-dependent pathway is required for Arg1 expression in alternativelyactivated MØs. We found that mycobacteria-infected MØs produce soluble factors that induce Arg1 in an autocrine-paracrine manner via Stat3. We identify these factors as IL-6, IL-10 and GCSF. We further establish that Arg1 expression is controlled by the MyD88-dependent production of IL-6, IL-10 and G-CSF rather than cell intrinsic MyD88 signaling to Arg1. Our data reveal the MyD88-dependent pathway of Arg1induction following BCG infection requires Stat3 activation and may result in the development of an immunosuppressive niche in granulomas due to the induced Arg1 production in surrounding uninfected MØs"}
{"STANDARD_NAME":"GSE22935_24H_VS_48H_MBOVIS_BCG_STIM_MACROPHAGE_DN","SYSTEMATIC_NAME":"M7755","ORGANISM":"Mus musculus","PMID":"20716764","AUTHORS":"Qualls JE,Neale G,Smith AM,Koo MS,DeFreitas AA,Zhang H,Kaplan G,Watowich SS,Murray PJ","GEOID":"GSE22935","EXACT_SOURCE":"GSE22935_2881_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages after M. bovis BCG infection: 24h versus 48h.","DESCRIPTION_FULL":"Nitric oxide (NO) produced by macrophages (MØs) is toxic to both host tissues and invading pathogens and its regulation is therefore essential to suppress host cytotoxicity. MØ arginase 1 (Arg1) inhibits NO production by competing with NO synthases for arginine, the common substrate of NO synthases and arginases. Two signal transduction pathways control Arg1 expression in MØs. First, a MyD88-dependent pathway induces Arg1 in intracellular infections, while a second Stat6-dependent pathway is required for Arg1 expression in alternativelyactivated MØs. We found that mycobacteria-infected MØs produce soluble factors that induce Arg1 in an autocrine-paracrine manner via Stat3. We identify these factors as IL-6, IL-10 and GCSF. We further establish that Arg1 expression is controlled by the MyD88-dependent production of IL-6, IL-10 and G-CSF rather than cell intrinsic MyD88 signaling to Arg1. Our data reveal the MyD88-dependent pathway of Arg1induction following BCG infection requires Stat3 activation and may result in the development of an immunosuppressive niche in granulomas due to the induced Arg1 production in surrounding uninfected MØs"}
{"STANDARD_NAME":"GSE22935_24H_VS_48H_MBOVIS_BCG_STIM_MYD88_KO_MACROPHAGE_UP","SYSTEMATIC_NAME":"M7756","ORGANISM":"Mus musculus","PMID":"20716764","AUTHORS":"Qualls JE,Neale G,Smith AM,Koo MS,DeFreitas AA,Zhang H,Kaplan G,Watowich SS,Murray PJ","GEOID":"GSE22935","EXACT_SOURCE":"GSE22935_2882_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages with MYD88 [GeneID=4615] knockout after M. bovis BCG infection: 24h versus 48h.","DESCRIPTION_FULL":"Nitric oxide (NO) produced by macrophages (MØs) is toxic to both host tissues and invading pathogens and its regulation is therefore essential to suppress host cytotoxicity. MØ arginase 1 (Arg1) inhibits NO production by competing with NO synthases for arginine, the common substrate of NO synthases and arginases. Two signal transduction pathways control Arg1 expression in MØs. First, a MyD88-dependent pathway induces Arg1 in intracellular infections, while a second Stat6-dependent pathway is required for Arg1 expression in alternativelyactivated MØs. We found that mycobacteria-infected MØs produce soluble factors that induce Arg1 in an autocrine-paracrine manner via Stat3. We identify these factors as IL-6, IL-10 and GCSF. We further establish that Arg1 expression is controlled by the MyD88-dependent production of IL-6, IL-10 and G-CSF rather than cell intrinsic MyD88 signaling to Arg1. Our data reveal the MyD88-dependent pathway of Arg1induction following BCG infection requires Stat3 activation and may result in the development of an immunosuppressive niche in granulomas due to the induced Arg1 production in surrounding uninfected MØs"}
{"STANDARD_NAME":"GSE22935_UNSTIM_VS_12H_MBOVIS_BCG_STIM_MACROPHAGE_DN","SYSTEMATIC_NAME":"M7757","ORGANISM":"Mus musculus","PMID":"20716764","AUTHORS":"Qualls JE,Neale G,Smith AM,Koo MS,DeFreitas AA,Zhang H,Kaplan G,Watowich SS,Murray PJ","GEOID":"GSE22935","EXACT_SOURCE":"GSE22935_2875_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages: untreated versus 12h after M. bovis BCG infection.","DESCRIPTION_FULL":"Nitric oxide (NO) produced by macrophages (MØs) is toxic to both host tissues and invading pathogens and its regulation is therefore essential to suppress host cytotoxicity. MØ arginase 1 (Arg1) inhibits NO production by competing with NO synthases for arginine, the common substrate of NO synthases and arginases. Two signal transduction pathways control Arg1 expression in MØs. First, a MyD88-dependent pathway induces Arg1 in intracellular infections, while a second Stat6-dependent pathway is required for Arg1 expression in alternativelyactivated MØs. We found that mycobacteria-infected MØs produce soluble factors that induce Arg1 in an autocrine-paracrine manner via Stat3. We identify these factors as IL-6, IL-10 and GCSF. We further establish that Arg1 expression is controlled by the MyD88-dependent production of IL-6, IL-10 and G-CSF rather than cell intrinsic MyD88 signaling to Arg1. Our data reveal the MyD88-dependent pathway of Arg1induction following BCG infection requires Stat3 activation and may result in the development of an immunosuppressive niche in granulomas due to the induced Arg1 production in surrounding uninfected MØs"}
{"STANDARD_NAME":"GSE22935_UNSTIM_VS_12H_MBOVIS_BCG_STIM_MYD88_KO_MACROPHAGE_UP","SYSTEMATIC_NAME":"M7758","ORGANISM":"Mus musculus","PMID":"20716764","AUTHORS":"Qualls JE,Neale G,Smith AM,Koo MS,DeFreitas AA,Zhang H,Kaplan G,Watowich SS,Murray PJ","GEOID":"GSE22935","EXACT_SOURCE":"GSE22935_2878_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated macrophages with MYD88 [GeneID=4615] knockout: untreated versus 12h after M. bovis BCG infection.","DESCRIPTION_FULL":"Nitric oxide (NO) produced by macrophages (MØs) is toxic to both host tissues and invading pathogens and its regulation is therefore essential to suppress host cytotoxicity. MØ arginase 1 (Arg1) inhibits NO production by competing with NO synthases for arginine, the common substrate of NO synthases and arginases. Two signal transduction pathways control Arg1 expression in MØs. First, a MyD88-dependent pathway induces Arg1 in intracellular infections, while a second Stat6-dependent pathway is required for Arg1 expression in alternativelyactivated MØs. We found that mycobacteria-infected MØs produce soluble factors that induce Arg1 in an autocrine-paracrine manner via Stat3. We identify these factors as IL-6, IL-10 and GCSF. We further establish that Arg1 expression is controlled by the MyD88-dependent production of IL-6, IL-10 and G-CSF rather than cell intrinsic MyD88 signaling to Arg1. Our data reveal the MyD88-dependent pathway of Arg1induction following BCG infection requires Stat3 activation and may result in the development of an immunosuppressive niche in granulomas due to the induced Arg1 production in surrounding uninfected MØs"}
{"STANDARD_NAME":"GSE22935_WT_VS_MYD88_KO_MACROPHAGE_UP","SYSTEMATIC_NAME":"M7760","ORGANISM":"Mus musculus","PMID":"20716764","AUTHORS":"Qualls JE,Neale G,Smith AM,Koo MS,DeFreitas AA,Zhang H,Kaplan G,Watowich SS,Murray PJ","GEOID":"GSE22935","EXACT_SOURCE":"GSE22935_2871_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages: wildtype versus MYD88 [GeneID=4615] knockout.","DESCRIPTION_FULL":"Nitric oxide (NO) produced by macrophages (MØs) is toxic to both host tissues and invading pathogens and its regulation is therefore essential to suppress host cytotoxicity. MØ arginase 1 (Arg1) inhibits NO production by competing with NO synthases for arginine, the common substrate of NO synthases and arginases. Two signal transduction pathways control Arg1 expression in MØs. First, a MyD88-dependent pathway induces Arg1 in intracellular infections, while a second Stat6-dependent pathway is required for Arg1 expression in alternativelyactivated MØs. We found that mycobacteria-infected MØs produce soluble factors that induce Arg1 in an autocrine-paracrine manner via Stat3. We identify these factors as IL-6, IL-10 and GCSF. We further establish that Arg1 expression is controlled by the MyD88-dependent production of IL-6, IL-10 and G-CSF rather than cell intrinsic MyD88 signaling to Arg1. Our data reveal the MyD88-dependent pathway of Arg1induction following BCG infection requires Stat3 activation and may result in the development of an immunosuppressive niche in granulomas due to the induced Arg1 production in surrounding uninfected MØs"}
{"STANDARD_NAME":"GSE22935_WT_VS_MYD88_KO_MACROPHAGE_DN","SYSTEMATIC_NAME":"M7762","ORGANISM":"Mus musculus","PMID":"20716764","AUTHORS":"Qualls JE,Neale G,Smith AM,Koo MS,DeFreitas AA,Zhang H,Kaplan G,Watowich SS,Murray PJ","GEOID":"GSE22935","EXACT_SOURCE":"GSE22935_2871_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages: wildtype versus MYD88 [GeneID=4615] knockout.","DESCRIPTION_FULL":"Nitric oxide (NO) produced by macrophages (MØs) is toxic to both host tissues and invading pathogens and its regulation is therefore essential to suppress host cytotoxicity. MØ arginase 1 (Arg1) inhibits NO production by competing with NO synthases for arginine, the common substrate of NO synthases and arginases. Two signal transduction pathways control Arg1 expression in MØs. First, a MyD88-dependent pathway induces Arg1 in intracellular infections, while a second Stat6-dependent pathway is required for Arg1 expression in alternativelyactivated MØs. We found that mycobacteria-infected MØs produce soluble factors that induce Arg1 in an autocrine-paracrine manner via Stat3. We identify these factors as IL-6, IL-10 and GCSF. We further establish that Arg1 expression is controlled by the MyD88-dependent production of IL-6, IL-10 and G-CSF rather than cell intrinsic MyD88 signaling to Arg1. Our data reveal the MyD88-dependent pathway of Arg1induction following BCG infection requires Stat3 activation and may result in the development of an immunosuppressive niche in granulomas due to the induced Arg1 production in surrounding uninfected MØs"}
{"STANDARD_NAME":"GSE22935_WT_VS_MYD88_KO_MACROPHAGE_12H_MBOVIS_BCG_STIM_UP","SYSTEMATIC_NAME":"M7764","ORGANISM":"Mus musculus","PMID":"20716764","AUTHORS":"Qualls JE,Neale G,Smith AM,Koo MS,DeFreitas AA,Zhang H,Kaplan G,Watowich SS,Murray PJ","GEOID":"GSE22935","EXACT_SOURCE":"GSE22935_2872_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages 12h after M. bovis BCG infection: wildtype versus MYD88 [GeneID=4615] knockout.","DESCRIPTION_FULL":"Nitric oxide (NO) produced by macrophages (MØs) is toxic to both host tissues and invading pathogens and its regulation is therefore essential to suppress host cytotoxicity. MØ arginase 1 (Arg1) inhibits NO production by competing with NO synthases for arginine, the common substrate of NO synthases and arginases. Two signal transduction pathways control Arg1 expression in MØs. First, a MyD88-dependent pathway induces Arg1 in intracellular infections, while a second Stat6-dependent pathway is required for Arg1 expression in alternativelyactivated MØs. We found that mycobacteria-infected MØs produce soluble factors that induce Arg1 in an autocrine-paracrine manner via Stat3. We identify these factors as IL-6, IL-10 and GCSF. We further establish that Arg1 expression is controlled by the MyD88-dependent production of IL-6, IL-10 and G-CSF rather than cell intrinsic MyD88 signaling to Arg1. Our data reveal the MyD88-dependent pathway of Arg1induction following BCG infection requires Stat3 activation and may result in the development of an immunosuppressive niche in granulomas due to the induced Arg1 production in surrounding uninfected MØs"}
{"STANDARD_NAME":"GSE22935_UNSTIM_VS_48H_MBOVIS_BCG_STIM_MYD88_KO_MACROPHAGE_UP","SYSTEMATIC_NAME":"M7765","ORGANISM":"Mus musculus","PMID":"20716764","AUTHORS":"Qualls JE,Neale G,Smith AM,Koo MS,DeFreitas AA,Zhang H,Kaplan G,Watowich SS,Murray PJ","GEOID":"GSE22935","EXACT_SOURCE":"GSE22935_2880_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated macrophages with MYD88 [GeneID=4615] knockout: untreated versus 48h after M. bovis BCG infection.","DESCRIPTION_FULL":"Nitric oxide (NO) produced by macrophages (MØs) is toxic to both host tissues and invading pathogens and its regulation is therefore essential to suppress host cytotoxicity. MØ arginase 1 (Arg1) inhibits NO production by competing with NO synthases for arginine, the common substrate of NO synthases and arginases. Two signal transduction pathways control Arg1 expression in MØs. First, a MyD88-dependent pathway induces Arg1 in intracellular infections, while a second Stat6-dependent pathway is required for Arg1 expression in alternativelyactivated MØs. We found that mycobacteria-infected MØs produce soluble factors that induce Arg1 in an autocrine-paracrine manner via Stat3. We identify these factors as IL-6, IL-10 and GCSF. We further establish that Arg1 expression is controlled by the MyD88-dependent production of IL-6, IL-10 and G-CSF rather than cell intrinsic MyD88 signaling to Arg1. Our data reveal the MyD88-dependent pathway of Arg1induction following BCG infection requires Stat3 activation and may result in the development of an immunosuppressive niche in granulomas due to the induced Arg1 production in surrounding uninfected MØs"}
{"STANDARD_NAME":"GSE22935_WT_VS_MYD88_KO_MACROPHAGE_48H_MBOVIS_BCG_STIM_UP","SYSTEMATIC_NAME":"M7766","ORGANISM":"Mus musculus","PMID":"20716764","AUTHORS":"Qualls JE,Neale G,Smith AM,Koo MS,DeFreitas AA,Zhang H,Kaplan G,Watowich SS,Murray PJ","GEOID":"GSE22935","EXACT_SOURCE":"GSE22935_2874_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages 48h after M. bovis BCG infection: wildtype versus MYD88 [GeneID=4615] knockout.","DESCRIPTION_FULL":"Nitric oxide (NO) produced by macrophages (MØs) is toxic to both host tissues and invading pathogens and its regulation is therefore essential to suppress host cytotoxicity. MØ arginase 1 (Arg1) inhibits NO production by competing with NO synthases for arginine, the common substrate of NO synthases and arginases. Two signal transduction pathways control Arg1 expression in MØs. First, a MyD88-dependent pathway induces Arg1 in intracellular infections, while a second Stat6-dependent pathway is required for Arg1 expression in alternativelyactivated MØs. We found that mycobacteria-infected MØs produce soluble factors that induce Arg1 in an autocrine-paracrine manner via Stat3. We identify these factors as IL-6, IL-10 and GCSF. We further establish that Arg1 expression is controlled by the MyD88-dependent production of IL-6, IL-10 and G-CSF rather than cell intrinsic MyD88 signaling to Arg1. Our data reveal the MyD88-dependent pathway of Arg1induction following BCG infection requires Stat3 activation and may result in the development of an immunosuppressive niche in granulomas due to the induced Arg1 production in surrounding uninfected MØs"}
{"STANDARD_NAME":"GSE22935_WT_VS_MYD88_KO_MACROPHAGE_48H_MBOVIS_BCG_STIM_DN","SYSTEMATIC_NAME":"M7767","ORGANISM":"Mus musculus","PMID":"20716764","AUTHORS":"Qualls JE,Neale G,Smith AM,Koo MS,DeFreitas AA,Zhang H,Kaplan G,Watowich SS,Murray PJ","GEOID":"GSE22935","EXACT_SOURCE":"GSE22935_2874_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages 48h after M. bovis BCG infection: wildtype versus MYD88 [GeneID=4615] knockout.","DESCRIPTION_FULL":"Nitric oxide (NO) produced by macrophages (MØs) is toxic to both host tissues and invading pathogens and its regulation is therefore essential to suppress host cytotoxicity. MØ arginase 1 (Arg1) inhibits NO production by competing with NO synthases for arginine, the common substrate of NO synthases and arginases. Two signal transduction pathways control Arg1 expression in MØs. First, a MyD88-dependent pathway induces Arg1 in intracellular infections, while a second Stat6-dependent pathway is required for Arg1 expression in alternativelyactivated MØs. We found that mycobacteria-infected MØs produce soluble factors that induce Arg1 in an autocrine-paracrine manner via Stat3. We identify these factors as IL-6, IL-10 and GCSF. We further establish that Arg1 expression is controlled by the MyD88-dependent production of IL-6, IL-10 and G-CSF rather than cell intrinsic MyD88 signaling to Arg1. Our data reveal the MyD88-dependent pathway of Arg1induction following BCG infection requires Stat3 activation and may result in the development of an immunosuppressive niche in granulomas due to the induced Arg1 production in surrounding uninfected MØs"}
{"STANDARD_NAME":"GSE22935_UNSTIM_VS_24H_MBOVIS_BCG_STIM_MYD88_KO_MACROPHAGE_DN","SYSTEMATIC_NAME":"M7771","ORGANISM":"Mus musculus","PMID":"20716764","AUTHORS":"Qualls JE,Neale G,Smith AM,Koo MS,DeFreitas AA,Zhang H,Kaplan G,Watowich SS,Murray PJ","GEOID":"GSE22935","EXACT_SOURCE":"GSE22935_2879_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated macrophages with MYD88 [GeneID=4615] knockout: untreated versus 24h after M. bovis BCG infection.","DESCRIPTION_FULL":"Nitric oxide (NO) produced by macrophages (MØs) is toxic to both host tissues and invading pathogens and its regulation is therefore essential to suppress host cytotoxicity. MØ arginase 1 (Arg1) inhibits NO production by competing with NO synthases for arginine, the common substrate of NO synthases and arginases. Two signal transduction pathways control Arg1 expression in MØs. First, a MyD88-dependent pathway induces Arg1 in intracellular infections, while a second Stat6-dependent pathway is required for Arg1 expression in alternativelyactivated MØs. We found that mycobacteria-infected MØs produce soluble factors that induce Arg1 in an autocrine-paracrine manner via Stat3. We identify these factors as IL-6, IL-10 and GCSF. We further establish that Arg1 expression is controlled by the MyD88-dependent production of IL-6, IL-10 and G-CSF rather than cell intrinsic MyD88 signaling to Arg1. Our data reveal the MyD88-dependent pathway of Arg1induction following BCG infection requires Stat3 activation and may result in the development of an immunosuppressive niche in granulomas due to the induced Arg1 production in surrounding uninfected MØs"}
{"STANDARD_NAME":"GSE22935_24H_VS_48H_MBOVIS_BCG_STIM_MYD88_KO_MACROPHAGE_DN","SYSTEMATIC_NAME":"M7773","ORGANISM":"Mus musculus","PMID":"20716764","AUTHORS":"Qualls JE,Neale G,Smith AM,Koo MS,DeFreitas AA,Zhang H,Kaplan G,Watowich SS,Murray PJ","GEOID":"GSE22935","EXACT_SOURCE":"GSE22935_2882_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages with MYD88 [GeneID=4615] knockout after M. bovis BCG infection: 24h versus 48h.","DESCRIPTION_FULL":"Nitric oxide (NO) produced by macrophages (MØs) is toxic to both host tissues and invading pathogens and its regulation is therefore essential to suppress host cytotoxicity. MØ arginase 1 (Arg1) inhibits NO production by competing with NO synthases for arginine, the common substrate of NO synthases and arginases. Two signal transduction pathways control Arg1 expression in MØs. First, a MyD88-dependent pathway induces Arg1 in intracellular infections, while a second Stat6-dependent pathway is required for Arg1 expression in alternativelyactivated MØs. We found that mycobacteria-infected MØs produce soluble factors that induce Arg1 in an autocrine-paracrine manner via Stat3. We identify these factors as IL-6, IL-10 and GCSF. We further establish that Arg1 expression is controlled by the MyD88-dependent production of IL-6, IL-10 and G-CSF rather than cell intrinsic MyD88 signaling to Arg1. Our data reveal the MyD88-dependent pathway of Arg1induction following BCG infection requires Stat3 activation and may result in the development of an immunosuppressive niche in granulomas due to the induced Arg1 production in surrounding uninfected MØs"}
{"STANDARD_NAME":"GSE22935_UNSTIM_VS_48H_MBOVIS_BCG_STIM_MYD88_KO_MACROPHAGE_DN","SYSTEMATIC_NAME":"M7774","ORGANISM":"Mus musculus","PMID":"20716764","AUTHORS":"Qualls JE,Neale G,Smith AM,Koo MS,DeFreitas AA,Zhang H,Kaplan G,Watowich SS,Murray PJ","GEOID":"GSE22935","EXACT_SOURCE":"GSE22935_2880_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated macrophages with MYD88 [GeneID=4615] knockout: untreated versus 48h after M. bovis BCG infection.","DESCRIPTION_FULL":"Nitric oxide (NO) produced by macrophages (MØs) is toxic to both host tissues and invading pathogens and its regulation is therefore essential to suppress host cytotoxicity. MØ arginase 1 (Arg1) inhibits NO production by competing with NO synthases for arginine, the common substrate of NO synthases and arginases. Two signal transduction pathways control Arg1 expression in MØs. First, a MyD88-dependent pathway induces Arg1 in intracellular infections, while a second Stat6-dependent pathway is required for Arg1 expression in alternativelyactivated MØs. We found that mycobacteria-infected MØs produce soluble factors that induce Arg1 in an autocrine-paracrine manner via Stat3. We identify these factors as IL-6, IL-10 and GCSF. We further establish that Arg1 expression is controlled by the MyD88-dependent production of IL-6, IL-10 and G-CSF rather than cell intrinsic MyD88 signaling to Arg1. Our data reveal the MyD88-dependent pathway of Arg1induction following BCG infection requires Stat3 activation and may result in the development of an immunosuppressive niche in granulomas due to the induced Arg1 production in surrounding uninfected MØs"}
{"STANDARD_NAME":"GSE22935_24H_VS_48H_MBOVIS_BCG_STIM_MACROPHAGE_UP","SYSTEMATIC_NAME":"M7776","ORGANISM":"Mus musculus","PMID":"20716764","AUTHORS":"Qualls JE,Neale G,Smith AM,Koo MS,DeFreitas AA,Zhang H,Kaplan G,Watowich SS,Murray PJ","GEOID":"GSE22935","EXACT_SOURCE":"GSE22935_2881_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages after M. bovis BCG infection: 24h versus 48h.","DESCRIPTION_FULL":"Nitric oxide (NO) produced by macrophages (MØs) is toxic to both host tissues and invading pathogens and its regulation is therefore essential to suppress host cytotoxicity. MØ arginase 1 (Arg1) inhibits NO production by competing with NO synthases for arginine, the common substrate of NO synthases and arginases. Two signal transduction pathways control Arg1 expression in MØs. First, a MyD88-dependent pathway induces Arg1 in intracellular infections, while a second Stat6-dependent pathway is required for Arg1 expression in alternativelyactivated MØs. We found that mycobacteria-infected MØs produce soluble factors that induce Arg1 in an autocrine-paracrine manner via Stat3. We identify these factors as IL-6, IL-10 and GCSF. We further establish that Arg1 expression is controlled by the MyD88-dependent production of IL-6, IL-10 and G-CSF rather than cell intrinsic MyD88 signaling to Arg1. Our data reveal the MyD88-dependent pathway of Arg1induction following BCG infection requires Stat3 activation and may result in the development of an immunosuppressive niche in granulomas due to the induced Arg1 production in surrounding uninfected MØs"}
{"STANDARD_NAME":"GSE22935_UNSTIM_VS_48H_MBOVIS_BCG_STIM_MACROPHAGE_UP","SYSTEMATIC_NAME":"M7777","ORGANISM":"Mus musculus","PMID":"20716764","AUTHORS":"Qualls JE,Neale G,Smith AM,Koo MS,DeFreitas AA,Zhang H,Kaplan G,Watowich SS,Murray PJ","GEOID":"GSE22935","EXACT_SOURCE":"GSE22935_2877_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages: untreated versus 48h after M. bovis BCG infection.","DESCRIPTION_FULL":"Nitric oxide (NO) produced by macrophages (MØs) is toxic to both host tissues and invading pathogens and its regulation is therefore essential to suppress host cytotoxicity. MØ arginase 1 (Arg1) inhibits NO production by competing with NO synthases for arginine, the common substrate of NO synthases and arginases. Two signal transduction pathways control Arg1 expression in MØs. First, a MyD88-dependent pathway induces Arg1 in intracellular infections, while a second Stat6-dependent pathway is required for Arg1 expression in alternativelyactivated MØs. We found that mycobacteria-infected MØs produce soluble factors that induce Arg1 in an autocrine-paracrine manner via Stat3. We identify these factors as IL-6, IL-10 and GCSF. We further establish that Arg1 expression is controlled by the MyD88-dependent production of IL-6, IL-10 and G-CSF rather than cell intrinsic MyD88 signaling to Arg1. Our data reveal the MyD88-dependent pathway of Arg1induction following BCG infection requires Stat3 activation and may result in the development of an immunosuppressive niche in granulomas due to the induced Arg1 production in surrounding uninfected MØs"}
{"STANDARD_NAME":"GSE22935_UNSTIM_VS_48H_MBOVIS_BCG_STIM_MACROPHAGE_DN","SYSTEMATIC_NAME":"M7779","ORGANISM":"Mus musculus","PMID":"20716764","AUTHORS":"Qualls JE,Neale G,Smith AM,Koo MS,DeFreitas AA,Zhang H,Kaplan G,Watowich SS,Murray PJ","GEOID":"GSE22935","EXACT_SOURCE":"GSE22935_2877_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages: untreated versus 48h after M. bovis BCG infection.","DESCRIPTION_FULL":"Nitric oxide (NO) produced by macrophages (MØs) is toxic to both host tissues and invading pathogens and its regulation is therefore essential to suppress host cytotoxicity. MØ arginase 1 (Arg1) inhibits NO production by competing with NO synthases for arginine, the common substrate of NO synthases and arginases. Two signal transduction pathways control Arg1 expression in MØs. First, a MyD88-dependent pathway induces Arg1 in intracellular infections, while a second Stat6-dependent pathway is required for Arg1 expression in alternativelyactivated MØs. We found that mycobacteria-infected MØs produce soluble factors that induce Arg1 in an autocrine-paracrine manner via Stat3. We identify these factors as IL-6, IL-10 and GCSF. We further establish that Arg1 expression is controlled by the MyD88-dependent production of IL-6, IL-10 and G-CSF rather than cell intrinsic MyD88 signaling to Arg1. Our data reveal the MyD88-dependent pathway of Arg1induction following BCG infection requires Stat3 activation and may result in the development of an immunosuppressive niche in granulomas due to the induced Arg1 production in surrounding uninfected MØs"}
{"STANDARD_NAME":"GSE22935_UNSTIM_VS_12H_MBOVIS_BCG_STIM_MYD88_KO_MACROPHAGE_DN","SYSTEMATIC_NAME":"M7780","ORGANISM":"Mus musculus","PMID":"20716764","AUTHORS":"Qualls JE,Neale G,Smith AM,Koo MS,DeFreitas AA,Zhang H,Kaplan G,Watowich SS,Murray PJ","GEOID":"GSE22935","EXACT_SOURCE":"GSE22935_2878_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated macrophages with MYD88 [GeneID=4615] knockout: untreated versus 12h after M. bovis BCG infection.","DESCRIPTION_FULL":"Nitric oxide (NO) produced by macrophages (MØs) is toxic to both host tissues and invading pathogens and its regulation is therefore essential to suppress host cytotoxicity. MØ arginase 1 (Arg1) inhibits NO production by competing with NO synthases for arginine, the common substrate of NO synthases and arginases. Two signal transduction pathways control Arg1 expression in MØs. First, a MyD88-dependent pathway induces Arg1 in intracellular infections, while a second Stat6-dependent pathway is required for Arg1 expression in alternativelyactivated MØs. We found that mycobacteria-infected MØs produce soluble factors that induce Arg1 in an autocrine-paracrine manner via Stat3. We identify these factors as IL-6, IL-10 and GCSF. We further establish that Arg1 expression is controlled by the MyD88-dependent production of IL-6, IL-10 and G-CSF rather than cell intrinsic MyD88 signaling to Arg1. Our data reveal the MyD88-dependent pathway of Arg1induction following BCG infection requires Stat3 activation and may result in the development of an immunosuppressive niche in granulomas due to the induced Arg1 production in surrounding uninfected MØs"}
{"STANDARD_NAME":"GSE22935_UNSTIM_VS_24H_MBOVIS_BCG_STIM_MYD88_KO_MACROPHAGE_UP","SYSTEMATIC_NAME":"M7781","ORGANISM":"Mus musculus","PMID":"20716764","AUTHORS":"Qualls JE,Neale G,Smith AM,Koo MS,DeFreitas AA,Zhang H,Kaplan G,Watowich SS,Murray PJ","GEOID":"GSE22935","EXACT_SOURCE":"GSE22935_2879_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated macrophages with MYD88 [GeneID=4615] knockout: untreated versus 24h after M. bovis BCG infection.","DESCRIPTION_FULL":"Nitric oxide (NO) produced by macrophages (MØs) is toxic to both host tissues and invading pathogens and its regulation is therefore essential to suppress host cytotoxicity. MØ arginase 1 (Arg1) inhibits NO production by competing with NO synthases for arginine, the common substrate of NO synthases and arginases. Two signal transduction pathways control Arg1 expression in MØs. First, a MyD88-dependent pathway induces Arg1 in intracellular infections, while a second Stat6-dependent pathway is required for Arg1 expression in alternativelyactivated MØs. We found that mycobacteria-infected MØs produce soluble factors that induce Arg1 in an autocrine-paracrine manner via Stat3. We identify these factors as IL-6, IL-10 and GCSF. We further establish that Arg1 expression is controlled by the MyD88-dependent production of IL-6, IL-10 and G-CSF rather than cell intrinsic MyD88 signaling to Arg1. Our data reveal the MyD88-dependent pathway of Arg1induction following BCG infection requires Stat3 activation and may result in the development of an immunosuppressive niche in granulomas due to the induced Arg1 production in surrounding uninfected MØs"}
{"STANDARD_NAME":"GSE20754_WT_VS_TCF1_KO_MEMORY_CD8_TCELL_DN","SYSTEMATIC_NAME":"M7782","ORGANISM":"Mus musculus","PMID":"20727791","AUTHORS":"Zhou X,Yu S,Zhao DM,Harty JT,Badovinac VP,Xue HH","GEOID":"GSE20754","EXACT_SOURCE":"GSE20754_2450_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in memory CD8 T cells: wildtype versus TCF7 [GeneID=6932] knockout.","DESCRIPTION_FULL":"TCF-1 is an HMG family transcription factor which is known to be activated by the canonical Wnt signaling pathway and modulated by other signals such as those derived from T cell receptor. We found that during CD8 T cell responses, TCF-1 deficiency impaired long-term maintenance of antigen-specific memory CD8 T cells. We used microarrays to detect gene expression changes in memory CD8 T cells caused by TCF-1 deficiency."}
{"STANDARD_NAME":"GSE20754_WT_VS_TCF1_KO_MEMORY_CD8_TCELL_UP","SYSTEMATIC_NAME":"M7783","ORGANISM":"Mus musculus","PMID":"20727791","AUTHORS":"Zhou X,Yu S,Zhao DM,Harty JT,Badovinac VP,Xue HH","GEOID":"GSE20754","EXACT_SOURCE":"GSE20754_2450_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in memory CD8 T cells: wildtype versus TCF7 [GeneID=6932] knockout.","DESCRIPTION_FULL":"TCF-1 is an HMG family transcription factor which is known to be activated by the canonical Wnt signaling pathway and modulated by other signals such as those derived from T cell receptor. We found that during CD8 T cell responses, TCF-1 deficiency impaired long-term maintenance of antigen-specific memory CD8 T cells. We used microarrays to detect gene expression changes in memory CD8 T cells caused by TCF-1 deficiency."}
{"STANDARD_NAME":"GSE23695_CD57_POS_VS_NEG_NK_CELL_UP","SYSTEMATIC_NAME":"M7784","ORGANISM":"Homo sapiens","PMID":"20733159","AUTHORS":"Lopez-Vergès S,Milush JM,Pandey S,York VA,Arakawa-Hoyt J,Pircher H,Norris PJ,Nixon DF,Lanier LL","GEOID":"GSE23695","EXACT_SOURCE":"GSE23695_3368_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in NK cells: B3GAT1+ [GeneID=27087] versus B3GAT1- [GeneID=27087].","DESCRIPTION_FULL":"Thirty to 60% of CD56dimCD16bright NK cells in healthy adults express CD57, which is not expressed on immature CD56bright NK cells or fetal and newborn NK cells. We hypothesized that CD57+ NK cells within the CD56dim mature NK cell subset are highly mature and might be terminally differentiated. We used microarrays to assess the transcriptional differences between CD57+ and CD57neg NK cells within the CD56dim mature NK subset."}
{"STANDARD_NAME":"GSE23695_CD57_POS_VS_NEG_NK_CELL_DN","SYSTEMATIC_NAME":"M7786","ORGANISM":"Homo sapiens","PMID":"20733159","AUTHORS":"Lopez-Vergès S,Milush JM,Pandey S,York VA,Arakawa-Hoyt J,Pircher H,Norris PJ,Nixon DF,Lanier LL","GEOID":"GSE23695","EXACT_SOURCE":"GSE23695_3368_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in NK cells: B3GAT1+ [GeneID=27087] versus B3GAT1- [GeneID=27087].","DESCRIPTION_FULL":"Thirty to 60% of CD56dimCD16bright NK cells in healthy adults express CD57, which is not expressed on immature CD56bright NK cells or fetal and newborn NK cells. We hypothesized that CD57+ NK cells within the CD56dim mature NK cell subset are highly mature and might be terminally differentiated. We used microarrays to assess the transcriptional differences between CD57+ and CD57neg NK cells within the CD56dim mature NK subset."}
{"STANDARD_NAME":"GSE22103_UNSTIM_VS_GMCSF_AND_IFNG_STIM_NEUTROPHIL_UP","SYSTEMATIC_NAME":"M7789","ORGANISM":"Homo sapiens","PMID":"20802500","AUTHORS":"Kotz KT,Xiao W,Miller-Graziano C,Qian WJ,Russom A,Warner EA,Moldawer LL,De A,Bankey PE,Petritis BO,Camp DG,Rosenbach AE,Goverman J,Fagan SP,Brownstein BH,Irimia D,Xu W,Wilhelmy J,Mindrinos MN,Smith RD,Davis RW,Tompkins RG,Toner M,LastName M","GEOID":"GSE22103","EXACT_SOURCE":"GSE22103_3648_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in neutrophils: untreated versus stimulated by CSF2 and IFNG [GeneID=1437;3458].","DESCRIPTION_FULL":"Neutrophils play critical roles in modulating the immune response. However, neutrophils have a short circulating half life, are readily stimulated in vitro, and have low levels of cellular mRNA when compared to other blood leukocyte populations. All of these factors have made it difficult to evaluate neutrophils from clinical populations for molecular and functional studies. Here we present a robust methodology for rapidly isolating neutrophils directly from whole blood and develop ‘on- chip’ processing for mRNA and protein isolation for genomics and proteomics. We validate this device with an ex vivo stimulation experiment and demonstrate the ability of the device to discriminate subtle differences in the genomic and proteomic response of peripheral blood neutrophils to direct and indirect stimulation. Lastly, we implement this tool as part of a near patient blood processing system within a multi-center clinical study of the immune response to severe trauma and burn injury and demonstrate that this technique is easy to use by nurses and technical staff yielding excellent quality and sufficient quantity of mRNA for sensitive genomic readout of the host response to injury"}
{"STANDARD_NAME":"GSE22103_UNSTIM_VS_LPS_STIM_NEUTROPHIL_DN","SYSTEMATIC_NAME":"M7790","ORGANISM":"Homo sapiens","PMID":"20802500","AUTHORS":"Kotz KT,Xiao W,Miller-Graziano C,Qian WJ,Russom A,Warner EA,Moldawer LL,De A,Bankey PE,Petritis BO,Camp DG,Rosenbach AE,Goverman J,Fagan SP,Brownstein BH,Irimia D,Xu W,Wilhelmy J,Mindrinos MN,Smith RD,Davis RW,Tompkins RG,Toner M,LastName M","GEOID":"GSE22103","EXACT_SOURCE":"GSE22103_3647_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in neutrophils: untreated versus LPS.","DESCRIPTION_FULL":"Neutrophils play critical roles in modulating the immune response. However, neutrophils have a short circulating half life, are readily stimulated in vitro, and have low levels of cellular mRNA when compared to other blood leukocyte populations. All of these factors have made it difficult to evaluate neutrophils from clinical populations for molecular and functional studies. Here we present a robust methodology for rapidly isolating neutrophils directly from whole blood and develop ‘on- chip’ processing for mRNA and protein isolation for genomics and proteomics. We validate this device with an ex vivo stimulation experiment and demonstrate the ability of the device to discriminate subtle differences in the genomic and proteomic response of peripheral blood neutrophils to direct and indirect stimulation. Lastly, we implement this tool as part of a near patient blood processing system within a multi-center clinical study of the immune response to severe trauma and burn injury and demonstrate that this technique is easy to use by nurses and technical staff yielding excellent quality and sufficient quantity of mRNA for sensitive genomic readout of the host response to injury"}
{"STANDARD_NAME":"GSE22103_LPS_VS_GMCSF_AND_IFNG_STIM_NEUTROPHIL_DN","SYSTEMATIC_NAME":"M7791","ORGANISM":"Homo sapiens","PMID":"20802500","AUTHORS":"Kotz KT,Xiao W,Miller-Graziano C,Qian WJ,Russom A,Warner EA,Moldawer LL,De A,Bankey PE,Petritis BO,Camp DG,Rosenbach AE,Goverman J,Fagan SP,Brownstein BH,Irimia D,Xu W,Wilhelmy J,Mindrinos MN,Smith RD,Davis RW,Tompkins RG,Toner M,LastName M","GEOID":"GSE22103","EXACT_SOURCE":"GSE22103_3649_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in neutrophils: LPS versus stimulated by CSF2 and IFNG [GeneID=1437;3458].","DESCRIPTION_FULL":"Neutrophils play critical roles in modulating the immune response. However, neutrophils have a short circulating half life, are readily stimulated in vitro, and have low levels of cellular mRNA when compared to other blood leukocyte populations. All of these factors have made it difficult to evaluate neutrophils from clinical populations for molecular and functional studies. Here we present a robust methodology for rapidly isolating neutrophils directly from whole blood and develop ‘on- chip’ processing for mRNA and protein isolation for genomics and proteomics. We validate this device with an ex vivo stimulation experiment and demonstrate the ability of the device to discriminate subtle differences in the genomic and proteomic response of peripheral blood neutrophils to direct and indirect stimulation. Lastly, we implement this tool as part of a near patient blood processing system within a multi-center clinical study of the immune response to severe trauma and burn injury and demonstrate that this technique is easy to use by nurses and technical staff yielding excellent quality and sufficient quantity of mRNA for sensitive genomic readout of the host response to injury"}
{"STANDARD_NAME":"GSE22103_UNSTIM_VS_GMCSF_AND_IFNG_STIM_NEUTROPHIL_DN","SYSTEMATIC_NAME":"M7792","ORGANISM":"Homo sapiens","PMID":"20802500","AUTHORS":"Kotz KT,Xiao W,Miller-Graziano C,Qian WJ,Russom A,Warner EA,Moldawer LL,De A,Bankey PE,Petritis BO,Camp DG,Rosenbach AE,Goverman J,Fagan SP,Brownstein BH,Irimia D,Xu W,Wilhelmy J,Mindrinos MN,Smith RD,Davis RW,Tompkins RG,Toner M,LastName M","GEOID":"GSE22103","EXACT_SOURCE":"GSE22103_3648_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in neutrophils: untreated versus stimulated by CSF2 and IFNG [GeneID=1437;3458].","DESCRIPTION_FULL":"Neutrophils play critical roles in modulating the immune response. However, neutrophils have a short circulating half life, are readily stimulated in vitro, and have low levels of cellular mRNA when compared to other blood leukocyte populations. All of these factors have made it difficult to evaluate neutrophils from clinical populations for molecular and functional studies. Here we present a robust methodology for rapidly isolating neutrophils directly from whole blood and develop ‘on- chip’ processing for mRNA and protein isolation for genomics and proteomics. We validate this device with an ex vivo stimulation experiment and demonstrate the ability of the device to discriminate subtle differences in the genomic and proteomic response of peripheral blood neutrophils to direct and indirect stimulation. Lastly, we implement this tool as part of a near patient blood processing system within a multi-center clinical study of the immune response to severe trauma and burn injury and demonstrate that this technique is easy to use by nurses and technical staff yielding excellent quality and sufficient quantity of mRNA for sensitive genomic readout of the host response to injury"}
{"STANDARD_NAME":"GSE22103_UNSTIM_VS_LPS_STIM_NEUTROPHIL_UP","SYSTEMATIC_NAME":"M7794","ORGANISM":"Homo sapiens","PMID":"20802500","AUTHORS":"Kotz KT,Xiao W,Miller-Graziano C,Qian WJ,Russom A,Warner EA,Moldawer LL,De A,Bankey PE,Petritis BO,Camp DG,Rosenbach AE,Goverman J,Fagan SP,Brownstein BH,Irimia D,Xu W,Wilhelmy J,Mindrinos MN,Smith RD,Davis RW,Tompkins RG,Toner M,LastName M","GEOID":"GSE22103","EXACT_SOURCE":"GSE22103_3647_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in neutrophils: untreated versus LPS.","DESCRIPTION_FULL":"Neutrophils play critical roles in modulating the immune response. However, neutrophils have a short circulating half life, are readily stimulated in vitro, and have low levels of cellular mRNA when compared to other blood leukocyte populations. All of these factors have made it difficult to evaluate neutrophils from clinical populations for molecular and functional studies. Here we present a robust methodology for rapidly isolating neutrophils directly from whole blood and develop ‘on- chip’ processing for mRNA and protein isolation for genomics and proteomics. We validate this device with an ex vivo stimulation experiment and demonstrate the ability of the device to discriminate subtle differences in the genomic and proteomic response of peripheral blood neutrophils to direct and indirect stimulation. Lastly, we implement this tool as part of a near patient blood processing system within a multi-center clinical study of the immune response to severe trauma and burn injury and demonstrate that this technique is easy to use by nurses and technical staff yielding excellent quality and sufficient quantity of mRNA for sensitive genomic readout of the host response to injury"}
{"STANDARD_NAME":"GSE22103_LPS_VS_GMCSF_AND_IFNG_STIM_NEUTROPHIL_UP","SYSTEMATIC_NAME":"M7795","ORGANISM":"Homo sapiens","PMID":"20802500","AUTHORS":"Kotz KT,Xiao W,Miller-Graziano C,Qian WJ,Russom A,Warner EA,Moldawer LL,De A,Bankey PE,Petritis BO,Camp DG,Rosenbach AE,Goverman J,Fagan SP,Brownstein BH,Irimia D,Xu W,Wilhelmy J,Mindrinos MN,Smith RD,Davis RW,Tompkins RG,Toner M,LastName M","GEOID":"GSE22103","EXACT_SOURCE":"GSE22103_3649_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in neutrophils: LPS versus stimulated by CSF2 and IFNG [GeneID=1437;3458].","DESCRIPTION_FULL":"Neutrophils play critical roles in modulating the immune response. However, neutrophils have a short circulating half life, are readily stimulated in vitro, and have low levels of cellular mRNA when compared to other blood leukocyte populations. All of these factors have made it difficult to evaluate neutrophils from clinical populations for molecular and functional studies. Here we present a robust methodology for rapidly isolating neutrophils directly from whole blood and develop ‘on- chip’ processing for mRNA and protein isolation for genomics and proteomics. We validate this device with an ex vivo stimulation experiment and demonstrate the ability of the device to discriminate subtle differences in the genomic and proteomic response of peripheral blood neutrophils to direct and indirect stimulation. Lastly, we implement this tool as part of a near patient blood processing system within a multi-center clinical study of the immune response to severe trauma and burn injury and demonstrate that this technique is easy to use by nurses and technical staff yielding excellent quality and sufficient quantity of mRNA for sensitive genomic readout of the host response to injury"}
{"STANDARD_NAME":"GSE22589_HEALTHY_VS_HIV_AND_SIV_INFECTED_DC_DN","SYSTEMATIC_NAME":"M7796","ORGANISM":"Homo sapiens","PMID":"20829794","AUTHORS":"Manel N,Hogstad B,Wang Y,Levy DE,Unutmaz D,Littman DR","GEOID":"GSE22589","EXACT_SOURCE":"GSE22589_3652_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in monocyte-derived dendritic cells: control versus HIV and SIV infection.","DESCRIPTION_FULL":"Dendritic cells (DC) serve a key function in host defense, linking innate detection of microbes to the activation of pathogen-specific adaptive immune responses. Whether there is cell-intrinsic recognition of HIV-1 by host innate pattern-recognition receptors and subsequent coupling to antiviral T cell responses is not yet known. DC are largely resistant to infection with HIV-1, but facilitate infection of co-cultured T-helper cells through a process of trans-enhancement. We show here that, when DC resistance to infection is circumvented, HIV-1 induces DC maturation, an antiviral type I interferon response and activation of T cells. This innate response is dependent on the interaction of newly-synthesized HIV-1 capsid (CA) with cellular cyclophilin A (CypA) and the subsequent activation of the transcription factor IRF3. Because the peptidyl-prolyl isomerase CypA also interacts with CA to promote HIV-1 infectivity, our results suggest that CA conformation has evolved under opposing selective pressures for infectivity versus furtiveness. Thus, a cell intrinsic sensor for HIV-1 exists in DC and mediates an antiviral immune response, but it is not typically engaged due to absence of DC infection. The virulence of HIV-1 may be related to evasion of this response, whose manipulation may be necessary to generate an effective HIV-1 vaccine."}
{"STANDARD_NAME":"GSE22589_HEALTHY_VS_SIV_INFECTED_DC_UP","SYSTEMATIC_NAME":"M7798","ORGANISM":"Homo sapiens","PMID":"20829794","AUTHORS":"Manel N,Hogstad B,Wang Y,Levy DE,Unutmaz D,Littman DR","GEOID":"GSE22589","EXACT_SOURCE":"GSE22589_3651_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in monocyte-derived dendritic cells: control versus SIV infection.","DESCRIPTION_FULL":"Dendritic cells (DC) serve a key function in host defense, linking innate detection of microbes to the activation of pathogen-specific adaptive immune responses. Whether there is cell-intrinsic recognition of HIV-1 by host innate pattern-recognition receptors and subsequent coupling to antiviral T cell responses is not yet known. DC are largely resistant to infection with HIV-1, but facilitate infection of co-cultured T-helper cells through a process of trans-enhancement. We show here that, when DC resistance to infection is circumvented, HIV-1 induces DC maturation, an antiviral type I interferon response and activation of T cells. This innate response is dependent on the interaction of newly-synthesized HIV-1 capsid (CA) with cellular cyclophilin A (CypA) and the subsequent activation of the transcription factor IRF3. Because the peptidyl-prolyl isomerase CypA also interacts with CA to promote HIV-1 infectivity, our results suggest that CA conformation has evolved under opposing selective pressures for infectivity versus furtiveness. Thus, a cell intrinsic sensor for HIV-1 exists in DC and mediates an antiviral immune response, but it is not typically engaged due to absence of DC infection. The virulence of HIV-1 may be related to evasion of this response, whose manipulation may be necessary to generate an effective HIV-1 vaccine."}
{"STANDARD_NAME":"GSE22589_SIV_VS_HIV_AND_SIV_INFECTED_DC_DN","SYSTEMATIC_NAME":"M7799","ORGANISM":"Homo sapiens","PMID":"20829794","AUTHORS":"Manel N,Hogstad B,Wang Y,Levy DE,Unutmaz D,Littman DR","GEOID":"GSE22589","EXACT_SOURCE":"GSE22589_3654_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in monocyte-derived dendritic cells infected by: SIV versus HIV and SIV.","DESCRIPTION_FULL":"Dendritic cells (DC) serve a key function in host defense, linking innate detection of microbes to the activation of pathogen-specific adaptive immune responses. Whether there is cell-intrinsic recognition of HIV-1 by host innate pattern-recognition receptors and subsequent coupling to antiviral T cell responses is not yet known. DC are largely resistant to infection with HIV-1, but facilitate infection of co-cultured T-helper cells through a process of trans-enhancement. We show here that, when DC resistance to infection is circumvented, HIV-1 induces DC maturation, an antiviral type I interferon response and activation of T cells. This innate response is dependent on the interaction of newly-synthesized HIV-1 capsid (CA) with cellular cyclophilin A (CypA) and the subsequent activation of the transcription factor IRF3. Because the peptidyl-prolyl isomerase CypA also interacts with CA to promote HIV-1 infectivity, our results suggest that CA conformation has evolved under opposing selective pressures for infectivity versus furtiveness. Thus, a cell intrinsic sensor for HIV-1 exists in DC and mediates an antiviral immune response, but it is not typically engaged due to absence of DC infection. The virulence of HIV-1 may be related to evasion of this response, whose manipulation may be necessary to generate an effective HIV-1 vaccine."}
{"STANDARD_NAME":"GSE22589_HIV_VS_HIV_AND_SIV_INFECTED_DC_UP","SYSTEMATIC_NAME":"M7800","ORGANISM":"Homo sapiens","PMID":"20829794","AUTHORS":"Manel N,Hogstad B,Wang Y,Levy DE,Unutmaz D,Littman DR","GEOID":"GSE22589","EXACT_SOURCE":"GSE22589_3653_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in monocyte-derived dendritic cells infected by: HIV versus HIV and SIV.","DESCRIPTION_FULL":"Dendritic cells (DC) serve a key function in host defense, linking innate detection of microbes to the activation of pathogen-specific adaptive immune responses. Whether there is cell-intrinsic recognition of HIV-1 by host innate pattern-recognition receptors and subsequent coupling to antiviral T cell responses is not yet known. DC are largely resistant to infection with HIV-1, but facilitate infection of co-cultured T-helper cells through a process of trans-enhancement. We show here that, when DC resistance to infection is circumvented, HIV-1 induces DC maturation, an antiviral type I interferon response and activation of T cells. This innate response is dependent on the interaction of newly-synthesized HIV-1 capsid (CA) with cellular cyclophilin A (CypA) and the subsequent activation of the transcription factor IRF3. Because the peptidyl-prolyl isomerase CypA also interacts with CA to promote HIV-1 infectivity, our results suggest that CA conformation has evolved under opposing selective pressures for infectivity versus furtiveness. Thus, a cell intrinsic sensor for HIV-1 exists in DC and mediates an antiviral immune response, but it is not typically engaged due to absence of DC infection. The virulence of HIV-1 may be related to evasion of this response, whose manipulation may be necessary to generate an effective HIV-1 vaccine."}
{"STANDARD_NAME":"GSE22589_HIV_VS_HIV_AND_SIV_INFECTED_DC_DN","SYSTEMATIC_NAME":"M7801","ORGANISM":"Homo sapiens","PMID":"20829794","AUTHORS":"Manel N,Hogstad B,Wang Y,Levy DE,Unutmaz D,Littman DR","GEOID":"GSE22589","EXACT_SOURCE":"GSE22589_3653_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in monocyte-derived dendritic cells infected by: HIV versus HIV and SIV.","DESCRIPTION_FULL":"Dendritic cells (DC) serve a key function in host defense, linking innate detection of microbes to the activation of pathogen-specific adaptive immune responses. Whether there is cell-intrinsic recognition of HIV-1 by host innate pattern-recognition receptors and subsequent coupling to antiviral T cell responses is not yet known. DC are largely resistant to infection with HIV-1, but facilitate infection of co-cultured T-helper cells through a process of trans-enhancement. We show here that, when DC resistance to infection is circumvented, HIV-1 induces DC maturation, an antiviral type I interferon response and activation of T cells. This innate response is dependent on the interaction of newly-synthesized HIV-1 capsid (CA) with cellular cyclophilin A (CypA) and the subsequent activation of the transcription factor IRF3. Because the peptidyl-prolyl isomerase CypA also interacts with CA to promote HIV-1 infectivity, our results suggest that CA conformation has evolved under opposing selective pressures for infectivity versus furtiveness. Thus, a cell intrinsic sensor for HIV-1 exists in DC and mediates an antiviral immune response, but it is not typically engaged due to absence of DC infection. The virulence of HIV-1 may be related to evasion of this response, whose manipulation may be necessary to generate an effective HIV-1 vaccine."}
{"STANDARD_NAME":"GSE22589_SIV_VS_HIV_AND_SIV_INFECTED_DC_UP","SYSTEMATIC_NAME":"M7802","ORGANISM":"Homo sapiens","PMID":"20829794","AUTHORS":"Manel N,Hogstad B,Wang Y,Levy DE,Unutmaz D,Littman DR","GEOID":"GSE22589","EXACT_SOURCE":"GSE22589_3654_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in monocyte-derived dendritic cells infected by: SIV versus HIV and SIV.","DESCRIPTION_FULL":"Dendritic cells (DC) serve a key function in host defense, linking innate detection of microbes to the activation of pathogen-specific adaptive immune responses. Whether there is cell-intrinsic recognition of HIV-1 by host innate pattern-recognition receptors and subsequent coupling to antiviral T cell responses is not yet known. DC are largely resistant to infection with HIV-1, but facilitate infection of co-cultured T-helper cells through a process of trans-enhancement. We show here that, when DC resistance to infection is circumvented, HIV-1 induces DC maturation, an antiviral type I interferon response and activation of T cells. This innate response is dependent on the interaction of newly-synthesized HIV-1 capsid (CA) with cellular cyclophilin A (CypA) and the subsequent activation of the transcription factor IRF3. Because the peptidyl-prolyl isomerase CypA also interacts with CA to promote HIV-1 infectivity, our results suggest that CA conformation has evolved under opposing selective pressures for infectivity versus furtiveness. Thus, a cell intrinsic sensor for HIV-1 exists in DC and mediates an antiviral immune response, but it is not typically engaged due to absence of DC infection. The virulence of HIV-1 may be related to evasion of this response, whose manipulation may be necessary to generate an effective HIV-1 vaccine."}
{"STANDARD_NAME":"GSE22589_HEALTHY_VS_HIV_INFECTED_DC_UP","SYSTEMATIC_NAME":"M7805","ORGANISM":"Homo sapiens","PMID":"20829794","AUTHORS":"Manel N,Hogstad B,Wang Y,Levy DE,Unutmaz D,Littman DR","GEOID":"GSE22589","EXACT_SOURCE":"GSE22589_3650_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in monocyte-derived dendritic cells: control versus HIV infection.","DESCRIPTION_FULL":"Dendritic cells (DC) serve a key function in host defense, linking innate detection of microbes to the activation of pathogen-specific adaptive immune responses. Whether there is cell-intrinsic recognition of HIV-1 by host innate pattern-recognition receptors and subsequent coupling to antiviral T cell responses is not yet known. DC are largely resistant to infection with HIV-1, but facilitate infection of co-cultured T-helper cells through a process of trans-enhancement. We show here that, when DC resistance to infection is circumvented, HIV-1 induces DC maturation, an antiviral type I interferon response and activation of T cells. This innate response is dependent on the interaction of newly-synthesized HIV-1 capsid (CA) with cellular cyclophilin A (CypA) and the subsequent activation of the transcription factor IRF3. Because the peptidyl-prolyl isomerase CypA also interacts with CA to promote HIV-1 infectivity, our results suggest that CA conformation has evolved under opposing selective pressures for infectivity versus furtiveness. Thus, a cell intrinsic sensor for HIV-1 exists in DC and mediates an antiviral immune response, but it is not typically engaged due to absence of DC infection. The virulence of HIV-1 may be related to evasion of this response, whose manipulation may be necessary to generate an effective HIV-1 vaccine."}
{"STANDARD_NAME":"GSE22589_HEALTHY_VS_HIV_INFECTED_DC_DN","SYSTEMATIC_NAME":"M7807","ORGANISM":"Homo sapiens","PMID":"20829794","AUTHORS":"Manel N,Hogstad B,Wang Y,Levy DE,Unutmaz D,Littman DR","GEOID":"GSE22589","EXACT_SOURCE":"GSE22589_3650_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in monocyte-derived dendritic cells: control versus HIV infection.","DESCRIPTION_FULL":"Dendritic cells (DC) serve a key function in host defense, linking innate detection of microbes to the activation of pathogen-specific adaptive immune responses. Whether there is cell-intrinsic recognition of HIV-1 by host innate pattern-recognition receptors and subsequent coupling to antiviral T cell responses is not yet known. DC are largely resistant to infection with HIV-1, but facilitate infection of co-cultured T-helper cells through a process of trans-enhancement. We show here that, when DC resistance to infection is circumvented, HIV-1 induces DC maturation, an antiviral type I interferon response and activation of T cells. This innate response is dependent on the interaction of newly-synthesized HIV-1 capsid (CA) with cellular cyclophilin A (CypA) and the subsequent activation of the transcription factor IRF3. Because the peptidyl-prolyl isomerase CypA also interacts with CA to promote HIV-1 infectivity, our results suggest that CA conformation has evolved under opposing selective pressures for infectivity versus furtiveness. Thus, a cell intrinsic sensor for HIV-1 exists in DC and mediates an antiviral immune response, but it is not typically engaged due to absence of DC infection. The virulence of HIV-1 may be related to evasion of this response, whose manipulation may be necessary to generate an effective HIV-1 vaccine."}
{"STANDARD_NAME":"GSE22589_HEALTHY_VS_HIV_AND_SIV_INFECTED_DC_UP","SYSTEMATIC_NAME":"M7808","ORGANISM":"Homo sapiens","PMID":"20829794","AUTHORS":"Manel N,Hogstad B,Wang Y,Levy DE,Unutmaz D,Littman DR","GEOID":"GSE22589","EXACT_SOURCE":"GSE22589_3652_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in monocyte-derived dendritic cells: control versus HIV and SIV infection.","DESCRIPTION_FULL":"Dendritic cells (DC) serve a key function in host defense, linking innate detection of microbes to the activation of pathogen-specific adaptive immune responses. Whether there is cell-intrinsic recognition of HIV-1 by host innate pattern-recognition receptors and subsequent coupling to antiviral T cell responses is not yet known. DC are largely resistant to infection with HIV-1, but facilitate infection of co-cultured T-helper cells through a process of trans-enhancement. We show here that, when DC resistance to infection is circumvented, HIV-1 induces DC maturation, an antiviral type I interferon response and activation of T cells. This innate response is dependent on the interaction of newly-synthesized HIV-1 capsid (CA) with cellular cyclophilin A (CypA) and the subsequent activation of the transcription factor IRF3. Because the peptidyl-prolyl isomerase CypA also interacts with CA to promote HIV-1 infectivity, our results suggest that CA conformation has evolved under opposing selective pressures for infectivity versus furtiveness. Thus, a cell intrinsic sensor for HIV-1 exists in DC and mediates an antiviral immune response, but it is not typically engaged due to absence of DC infection. The virulence of HIV-1 may be related to evasion of this response, whose manipulation may be necessary to generate an effective HIV-1 vaccine."}
{"STANDARD_NAME":"GSE22589_HEALTHY_VS_SIV_INFECTED_DC_DN","SYSTEMATIC_NAME":"M7809","ORGANISM":"Homo sapiens","PMID":"20829794","AUTHORS":"Manel N,Hogstad B,Wang Y,Levy DE,Unutmaz D,Littman DR","GEOID":"GSE22589","EXACT_SOURCE":"GSE22589_3651_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in monocyte-derived dendritic cells: control versus SIV infection.","DESCRIPTION_FULL":"Dendritic cells (DC) serve a key function in host defense, linking innate detection of microbes to the activation of pathogen-specific adaptive immune responses. Whether there is cell-intrinsic recognition of HIV-1 by host innate pattern-recognition receptors and subsequent coupling to antiviral T cell responses is not yet known. DC are largely resistant to infection with HIV-1, but facilitate infection of co-cultured T-helper cells through a process of trans-enhancement. We show here that, when DC resistance to infection is circumvented, HIV-1 induces DC maturation, an antiviral type I interferon response and activation of T cells. This innate response is dependent on the interaction of newly-synthesized HIV-1 capsid (CA) with cellular cyclophilin A (CypA) and the subsequent activation of the transcription factor IRF3. Because the peptidyl-prolyl isomerase CypA also interacts with CA to promote HIV-1 infectivity, our results suggest that CA conformation has evolved under opposing selective pressures for infectivity versus furtiveness. Thus, a cell intrinsic sensor for HIV-1 exists in DC and mediates an antiviral immune response, but it is not typically engaged due to absence of DC infection. The virulence of HIV-1 may be related to evasion of this response, whose manipulation may be necessary to generate an effective HIV-1 vaccine."}
{"STANDARD_NAME":"GSE22432_CONVENTIONAL_CDC_VS_PLASMACYTOID_PDC_UP","SYSTEMATIC_NAME":"M7811","ORGANISM":"Mus musculus","PMID":"20881193","AUTHORS":"Felker P,Seré K,Lin Q,Becker C,Hristov M,Hieronymus T,Zenke M","GEOID":"GSE22432","EXACT_SOURCE":"GSE22432_3612_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in dendritic cells: common versus plasmacytoid.","DESCRIPTION_FULL":"Dendritic cells (DCs) in lymphoid tissue comprise conventional DCs (cDCs) and plasmacytoid DCs (pDCs) that develop from common DC progenitors (CDPs). CDPs are Flt3+c-kitintM-CSFR+ and reside in bone marrow. Here we describe a two-step culture system that recapitulates DC development from c-kithiFlt3-/lo multipotent progenitors (MPPs) into CDPs and further into cDC and pDC subsets. MPPs and CDPs are amplified in vitro with Flt3 ligand, stem cell factor, hyper-IL-6 and insulin- like growth factor-1. The four-factor cocktail readily induces self-renewal of MPPs and their progression into CDPs and has no self-renewal activity on CDPs. The amplified CDPs respond to all known DC poietins and generate all lymphoid tissue DCs in vivo and in vitro. Additionally, in vitro CDPs recapitulate the cell surface marker and gene expression profile of in vivo CDPs and possess a DC-primed transcription profile. Transforming growth factor-β1 (TGF-β1) impacts on CDPs and directs their differentiation towards cDCs. Genome-wide gene expression profiling of TGF-β1-induced genes identified transcription factors, such as interferon regulatory factor-4 (IRF-4) and RelB, that are implicated as instructive factors for cDC subset specification. TGF-β1 also induced the transcription factor inhibitor of differentiation/DNA binding 2 (Id2) that suppresses pDC development. Thus, TGF-β1 directs CDP differentiation into cDC by inducing both cDC instructive factors and pDC inhibitory factors."}
{"STANDARD_NAME":"GSE22432_CONVENTIONAL_CDC_VS_PLASMACYTOID_PDC_DN","SYSTEMATIC_NAME":"M7814","ORGANISM":"Mus musculus","PMID":"20881193","AUTHORS":"Felker P,Seré K,Lin Q,Becker C,Hristov M,Hieronymus T,Zenke M","GEOID":"GSE22432","EXACT_SOURCE":"GSE22432_3612_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in dendritic cells: common versus plasmacytoid.","DESCRIPTION_FULL":"Dendritic cells (DCs) in lymphoid tissue comprise conventional DCs (cDCs) and plasmacytoid DCs (pDCs) that develop from common DC progenitors (CDPs). CDPs are Flt3+c-kitintM-CSFR+ and reside in bone marrow. Here we describe a two-step culture system that recapitulates DC development from c-kithiFlt3-/lo multipotent progenitors (MPPs) into CDPs and further into cDC and pDC subsets. MPPs and CDPs are amplified in vitro with Flt3 ligand, stem cell factor, hyper-IL-6 and insulin- like growth factor-1. The four-factor cocktail readily induces self-renewal of MPPs and their progression into CDPs and has no self-renewal activity on CDPs. The amplified CDPs respond to all known DC poietins and generate all lymphoid tissue DCs in vivo and in vitro. Additionally, in vitro CDPs recapitulate the cell surface marker and gene expression profile of in vivo CDPs and possess a DC-primed transcription profile. Transforming growth factor-β1 (TGF-β1) impacts on CDPs and directs their differentiation towards cDCs. Genome-wide gene expression profiling of TGF-β1-induced genes identified transcription factors, such as interferon regulatory factor-4 (IRF-4) and RelB, that are implicated as instructive factors for cDC subset specification. TGF-β1 also induced the transcription factor inhibitor of differentiation/DNA binding 2 (Id2) that suppresses pDC development. Thus, TGF-β1 directs CDP differentiation into cDC by inducing both cDC instructive factors and pDC inhibitory factors."}
{"STANDARD_NAME":"GSE22432_MULTIPOTENT_PROGENITOR_VS_PDC_DN","SYSTEMATIC_NAME":"M7816","ORGANISM":"Mus musculus","PMID":"20881193","AUTHORS":"Felker P,Seré K,Lin Q,Becker C,Hristov M,Hieronymus T,Zenke M","GEOID":"GSE22432","EXACT_SOURCE":"GSE22432_3615_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in dendritic cells: amplified common progenitors versus plasmacytoid.","DESCRIPTION_FULL":"Dendritic cells (DCs) in lymphoid tissue comprise conventional DCs (cDCs) and plasmacytoid DCs (pDCs) that develop from common DC progenitors (CDPs). CDPs are Flt3+c-kitintM-CSFR+ and reside in bone marrow. Here we describe a two-step culture system that recapitulates DC development from c-kithiFlt3-/lo multipotent progenitors (MPPs) into CDPs and further into cDC and pDC subsets. MPPs and CDPs are amplified in vitro with Flt3 ligand, stem cell factor, hyper-IL-6 and insulin- like growth factor-1. The four-factor cocktail readily induces self-renewal of MPPs and their progression into CDPs and has no self-renewal activity on CDPs. The amplified CDPs respond to all known DC poietins and generate all lymphoid tissue DCs in vivo and in vitro. Additionally, in vitro CDPs recapitulate the cell surface marker and gene expression profile of in vivo CDPs and possess a DC-primed transcription profile. Transforming growth factor-β1 (TGF-β1) impacts on CDPs and directs their differentiation towards cDCs. Genome-wide gene expression profiling of TGF-β1-induced genes identified transcription factors, such as interferon regulatory factor-4 (IRF-4) and RelB, that are implicated as instructive factors for cDC subset specification. TGF-β1 also induced the transcription factor inhibitor of differentiation/DNA binding 2 (Id2) that suppresses pDC development. Thus, TGF-β1 directs CDP differentiation into cDC by inducing both cDC instructive factors and pDC inhibitory factors."}
{"STANDARD_NAME":"GSE22432_MULTIPOTENT_PROGENITOR_VS_CDC_UP","SYSTEMATIC_NAME":"M7817","ORGANISM":"Mus musculus","PMID":"20881193","AUTHORS":"Felker P,Seré K,Lin Q,Becker C,Hristov M,Hieronymus T,Zenke M","GEOID":"GSE22432","EXACT_SOURCE":"GSE22432_3614_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in amplified multipotent progenitors versus common dendritic cells.","DESCRIPTION_FULL":"Dendritic cells (DCs) in lymphoid tissue comprise conventional DCs (cDCs) and plasmacytoid DCs (pDCs) that develop from common DC progenitors (CDPs). CDPs are Flt3+c-kitintM-CSFR+ and reside in bone marrow. Here we describe a two-step culture system that recapitulates DC development from c-kithiFlt3-/lo multipotent progenitors (MPPs) into CDPs and further into cDC and pDC subsets. MPPs and CDPs are amplified in vitro with Flt3 ligand, stem cell factor, hyper-IL-6 and insulin- like growth factor-1. The four-factor cocktail readily induces self-renewal of MPPs and their progression into CDPs and has no self-renewal activity on CDPs. The amplified CDPs respond to all known DC poietins and generate all lymphoid tissue DCs in vivo and in vitro. Additionally, in vitro CDPs recapitulate the cell surface marker and gene expression profile of in vivo CDPs and possess a DC-primed transcription profile. Transforming growth factor-β1 (TGF-β1) impacts on CDPs and directs their differentiation towards cDCs. Genome-wide gene expression profiling of TGF-β1-induced genes identified transcription factors, such as interferon regulatory factor-4 (IRF-4) and RelB, that are implicated as instructive factors for cDC subset specification. TGF-β1 also induced the transcription factor inhibitor of differentiation/DNA binding 2 (Id2) that suppresses pDC development. Thus, TGF-β1 directs CDP differentiation into cDC by inducing both cDC instructive factors and pDC inhibitory factors."}
{"STANDARD_NAME":"GSE22432_MULTIPOTENT_PROGENITOR_VS_CDC_DN","SYSTEMATIC_NAME":"M7819","ORGANISM":"Mus musculus","PMID":"20881193","AUTHORS":"Felker P,Seré K,Lin Q,Becker C,Hristov M,Hieronymus T,Zenke M","GEOID":"GSE22432","EXACT_SOURCE":"GSE22432_3614_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in amplified multipotent progenitors versus common dendritic cells.","DESCRIPTION_FULL":"Dendritic cells (DCs) in lymphoid tissue comprise conventional DCs (cDCs) and plasmacytoid DCs (pDCs) that develop from common DC progenitors (CDPs). CDPs are Flt3+c-kitintM-CSFR+ and reside in bone marrow. Here we describe a two-step culture system that recapitulates DC development from c-kithiFlt3-/lo multipotent progenitors (MPPs) into CDPs and further into cDC and pDC subsets. MPPs and CDPs are amplified in vitro with Flt3 ligand, stem cell factor, hyper-IL-6 and insulin- like growth factor-1. The four-factor cocktail readily induces self-renewal of MPPs and their progression into CDPs and has no self-renewal activity on CDPs. The amplified CDPs respond to all known DC poietins and generate all lymphoid tissue DCs in vivo and in vitro. Additionally, in vitro CDPs recapitulate the cell surface marker and gene expression profile of in vivo CDPs and possess a DC-primed transcription profile. Transforming growth factor-β1 (TGF-β1) impacts on CDPs and directs their differentiation towards cDCs. Genome-wide gene expression profiling of TGF-β1-induced genes identified transcription factors, such as interferon regulatory factor-4 (IRF-4) and RelB, that are implicated as instructive factors for cDC subset specification. TGF-β1 also induced the transcription factor inhibitor of differentiation/DNA binding 2 (Id2) that suppresses pDC development. Thus, TGF-β1 directs CDP differentiation into cDC by inducing both cDC instructive factors and pDC inhibitory factors."}
{"STANDARD_NAME":"GSE22432_MULTIPOTENT_PROGENITOR_VS_PDC_UP","SYSTEMATIC_NAME":"M7820","ORGANISM":"Mus musculus","PMID":"20881193","AUTHORS":"Felker P,Seré K,Lin Q,Becker C,Hristov M,Hieronymus T,Zenke M","GEOID":"GSE22432","EXACT_SOURCE":"GSE22432_3615_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in dendritic cells: amplified common progenitors versus plasmacytoid.","DESCRIPTION_FULL":"Dendritic cells (DCs) in lymphoid tissue comprise conventional DCs (cDCs) and plasmacytoid DCs (pDCs) that develop from common DC progenitors (CDPs). CDPs are Flt3+c-kitintM-CSFR+ and reside in bone marrow. Here we describe a two-step culture system that recapitulates DC development from c-kithiFlt3-/lo multipotent progenitors (MPPs) into CDPs and further into cDC and pDC subsets. MPPs and CDPs are amplified in vitro with Flt3 ligand, stem cell factor, hyper-IL-6 and insulin- like growth factor-1. The four-factor cocktail readily induces self-renewal of MPPs and their progression into CDPs and has no self-renewal activity on CDPs. The amplified CDPs respond to all known DC poietins and generate all lymphoid tissue DCs in vivo and in vitro. Additionally, in vitro CDPs recapitulate the cell surface marker and gene expression profile of in vivo CDPs and possess a DC-primed transcription profile. Transforming growth factor-β1 (TGF-β1) impacts on CDPs and directs their differentiation towards cDCs. Genome-wide gene expression profiling of TGF-β1-induced genes identified transcription factors, such as interferon regulatory factor-4 (IRF-4) and RelB, that are implicated as instructive factors for cDC subset specification. TGF-β1 also induced the transcription factor inhibitor of differentiation/DNA binding 2 (Id2) that suppresses pDC development. Thus, TGF-β1 directs CDP differentiation into cDC by inducing both cDC instructive factors and pDC inhibitory factors."}
{"STANDARD_NAME":"GSE22432_MULTIPOTENT_VS_COMMON_DC_PROGENITOR_UP","SYSTEMATIC_NAME":"M7821","ORGANISM":"Mus musculus","PMID":"20881193","AUTHORS":"Felker P,Seré K,Lin Q,Becker C,Hristov M,Hieronymus T,Zenke M","GEOID":"GSE22432","EXACT_SOURCE":"GSE22432_3611_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in amplified: multipotent progenitors versus common dendritic cell progenitors.","DESCRIPTION_FULL":"Dendritic cells (DCs) in lymphoid tissue comprise conventional DCs (cDCs) and plasmacytoid DCs (pDCs) that develop from common DC progenitors (CDPs). CDPs are Flt3+c-kitintM-CSFR+ and reside in bone marrow. Here we describe a two-step culture system that recapitulates DC development from c-kithiFlt3-/lo multipotent progenitors (MPPs) into CDPs and further into cDC and pDC subsets. MPPs and CDPs are amplified in vitro with Flt3 ligand, stem cell factor, hyper-IL-6 and insulin- like growth factor-1. The four-factor cocktail readily induces self-renewal of MPPs and their progression into CDPs and has no self-renewal activity on CDPs. The amplified CDPs respond to all known DC poietins and generate all lymphoid tissue DCs in vivo and in vitro. Additionally, in vitro CDPs recapitulate the cell surface marker and gene expression profile of in vivo CDPs and possess a DC-primed transcription profile. Transforming growth factor-β1 (TGF-β1) impacts on CDPs and directs their differentiation towards cDCs. Genome-wide gene expression profiling of TGF-β1-induced genes identified transcription factors, such as interferon regulatory factor-4 (IRF-4) and RelB, that are implicated as instructive factors for cDC subset specification. TGF-β1 also induced the transcription factor inhibitor of differentiation/DNA binding 2 (Id2) that suppresses pDC development. Thus, TGF-β1 directs CDP differentiation into cDC by inducing both cDC instructive factors and pDC inhibitory factors."}
{"STANDARD_NAME":"GSE22432_MULTIPOTENT_VS_COMMON_DC_PROGENITOR_DN","SYSTEMATIC_NAME":"M7822","ORGANISM":"Mus musculus","PMID":"20881193","AUTHORS":"Felker P,Seré K,Lin Q,Becker C,Hristov M,Hieronymus T,Zenke M","GEOID":"GSE22432","EXACT_SOURCE":"GSE22432_3611_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in amplified: multipotent progenitors versus common dendritic cell progenitors.","DESCRIPTION_FULL":"Dendritic cells (DCs) in lymphoid tissue comprise conventional DCs (cDCs) and plasmacytoid DCs (pDCs) that develop from common DC progenitors (CDPs). CDPs are Flt3+c-kitintM-CSFR+ and reside in bone marrow. Here we describe a two-step culture system that recapitulates DC development from c-kithiFlt3-/lo multipotent progenitors (MPPs) into CDPs and further into cDC and pDC subsets. MPPs and CDPs are amplified in vitro with Flt3 ligand, stem cell factor, hyper-IL-6 and insulin- like growth factor-1. The four-factor cocktail readily induces self-renewal of MPPs and their progression into CDPs and has no self-renewal activity on CDPs. The amplified CDPs respond to all known DC poietins and generate all lymphoid tissue DCs in vivo and in vitro. Additionally, in vitro CDPs recapitulate the cell surface marker and gene expression profile of in vivo CDPs and possess a DC-primed transcription profile. Transforming growth factor-β1 (TGF-β1) impacts on CDPs and directs their differentiation towards cDCs. Genome-wide gene expression profiling of TGF-β1-induced genes identified transcription factors, such as interferon regulatory factor-4 (IRF-4) and RelB, that are implicated as instructive factors for cDC subset specification. TGF-β1 also induced the transcription factor inhibitor of differentiation/DNA binding 2 (Id2) that suppresses pDC development. Thus, TGF-β1 directs CDP differentiation into cDC by inducing both cDC instructive factors and pDC inhibitory factors."}
{"STANDARD_NAME":"GSE22432_CDC_VS_COMMON_DC_PROGENITOR_DN","SYSTEMATIC_NAME":"M7824","ORGANISM":"Mus musculus","PMID":"20881193","AUTHORS":"Felker P,Seré K,Lin Q,Becker C,Hristov M,Hieronymus T,Zenke M","GEOID":"GSE22432","EXACT_SOURCE":"GSE22432_3618_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in common dendritic cells versus those cultured and untreated.","DESCRIPTION_FULL":"Dendritic cells (DCs) in lymphoid tissue comprise conventional DCs (cDCs) and plasmacytoid DCs (pDCs) that develop from common DC progenitors (CDPs). CDPs are Flt3+c-kitintM-CSFR+ and reside in bone marrow. Here we describe a two-step culture system that recapitulates DC development from c-kithiFlt3-/lo multipotent progenitors (MPPs) into CDPs and further into cDC and pDC subsets. MPPs and CDPs are amplified in vitro with Flt3 ligand, stem cell factor, hyper-IL-6 and insulin- like growth factor-1. The four-factor cocktail readily induces self-renewal of MPPs and their progression into CDPs and has no self-renewal activity on CDPs. The amplified CDPs respond to all known DC poietins and generate all lymphoid tissue DCs in vivo and in vitro. Additionally, in vitro CDPs recapitulate the cell surface marker and gene expression profile of in vivo CDPs and possess a DC-primed transcription profile. Transforming growth factor-β1 (TGF-β1) impacts on CDPs and directs their differentiation towards cDCs. Genome-wide gene expression profiling of TGF-β1-induced genes identified transcription factors, such as interferon regulatory factor-4 (IRF-4) and RelB, that are implicated as instructive factors for cDC subset specification. TGF-β1 also induced the transcription factor inhibitor of differentiation/DNA binding 2 (Id2) that suppresses pDC development. Thus, TGF-β1 directs CDP differentiation into cDC by inducing both cDC instructive factors and pDC inhibitory factors."}
{"STANDARD_NAME":"GSE22432_UNTREATED_VS_TGFB1_TREATED_COMMON_DC_PROGENITOR_UP","SYSTEMATIC_NAME":"M7826","ORGANISM":"Mus musculus","PMID":"20881193","AUTHORS":"Felker P,Seré K,Lin Q,Becker C,Hristov M,Hieronymus T,Zenke M","GEOID":"GSE22432","EXACT_SOURCE":"GSE22432_3613_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in cultured common dendritic cell progenitors: untreated versus TGFB1 [GeneID=7040] for 4h.","DESCRIPTION_FULL":"Dendritic cells (DCs) in lymphoid tissue comprise conventional DCs (cDCs) and plasmacytoid DCs (pDCs) that develop from common DC progenitors (CDPs). CDPs are Flt3+c-kitintM-CSFR+ and reside in bone marrow. Here we describe a two-step culture system that recapitulates DC development from c-kithiFlt3-/lo multipotent progenitors (MPPs) into CDPs and further into cDC and pDC subsets. MPPs and CDPs are amplified in vitro with Flt3 ligand, stem cell factor, hyper-IL-6 and insulin- like growth factor-1. The four-factor cocktail readily induces self-renewal of MPPs and their progression into CDPs and has no self-renewal activity on CDPs. The amplified CDPs respond to all known DC poietins and generate all lymphoid tissue DCs in vivo and in vitro. Additionally, in vitro CDPs recapitulate the cell surface marker and gene expression profile of in vivo CDPs and possess a DC-primed transcription profile. Transforming growth factor-β1 (TGF-β1) impacts on CDPs and directs their differentiation towards cDCs. Genome-wide gene expression profiling of TGF-β1-induced genes identified transcription factors, such as interferon regulatory factor-4 (IRF-4) and RelB, that are implicated as instructive factors for cDC subset specification. TGF-β1 also induced the transcription factor inhibitor of differentiation/DNA binding 2 (Id2) that suppresses pDC development. Thus, TGF-β1 directs CDP differentiation into cDC by inducing both cDC instructive factors and pDC inhibitory factors."}
{"STANDARD_NAME":"GSE22432_UNTREATED_VS_TGFB1_TREATED_COMMON_DC_PROGENITOR_DN","SYSTEMATIC_NAME":"M7828","ORGANISM":"Mus musculus","PMID":"20881193","AUTHORS":"Felker P,Seré K,Lin Q,Becker C,Hristov M,Hieronymus T,Zenke M","GEOID":"GSE22432","EXACT_SOURCE":"GSE22432_3613_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in cultured common dendritic cell progenitors: untreated versus TGFB1 [GeneID=7040] for 4h.","DESCRIPTION_FULL":"Dendritic cells (DCs) in lymphoid tissue comprise conventional DCs (cDCs) and plasmacytoid DCs (pDCs) that develop from common DC progenitors (CDPs). CDPs are Flt3+c-kitintM-CSFR+ and reside in bone marrow. Here we describe a two-step culture system that recapitulates DC development from c-kithiFlt3-/lo multipotent progenitors (MPPs) into CDPs and further into cDC and pDC subsets. MPPs and CDPs are amplified in vitro with Flt3 ligand, stem cell factor, hyper-IL-6 and insulin- like growth factor-1. The four-factor cocktail readily induces self-renewal of MPPs and their progression into CDPs and has no self-renewal activity on CDPs. The amplified CDPs respond to all known DC poietins and generate all lymphoid tissue DCs in vivo and in vitro. Additionally, in vitro CDPs recapitulate the cell surface marker and gene expression profile of in vivo CDPs and possess a DC-primed transcription profile. Transforming growth factor-β1 (TGF-β1) impacts on CDPs and directs their differentiation towards cDCs. Genome-wide gene expression profiling of TGF-β1-induced genes identified transcription factors, such as interferon regulatory factor-4 (IRF-4) and RelB, that are implicated as instructive factors for cDC subset specification. TGF-β1 also induced the transcription factor inhibitor of differentiation/DNA binding 2 (Id2) that suppresses pDC development. Thus, TGF-β1 directs CDP differentiation into cDC by inducing both cDC instructive factors and pDC inhibitory factors."}
{"STANDARD_NAME":"GSE22432_MULTIPOTENT_VS_COMMON_DC_PROGENITOR_UNTREATED_DN","SYSTEMATIC_NAME":"M7829","ORGANISM":"Mus musculus","PMID":"20881193","AUTHORS":"Felker P,Seré K,Lin Q,Becker C,Hristov M,Hieronymus T,Zenke M","GEOID":"GSE22432","EXACT_SOURCE":"GSE22432_3616_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in amplified multipotent progenitors versus cultured untreated common dendritic cell progenitors.","DESCRIPTION_FULL":"Dendritic cells (DCs) in lymphoid tissue comprise conventional DCs (cDCs) and plasmacytoid DCs (pDCs) that develop from common DC progenitors (CDPs). CDPs are Flt3+c-kitintM-CSFR+ and reside in bone marrow. Here we describe a two-step culture system that recapitulates DC development from c-kithiFlt3-/lo multipotent progenitors (MPPs) into CDPs and further into cDC and pDC subsets. MPPs and CDPs are amplified in vitro with Flt3 ligand, stem cell factor, hyper-IL-6 and insulin- like growth factor-1. The four-factor cocktail readily induces self-renewal of MPPs and their progression into CDPs and has no self-renewal activity on CDPs. The amplified CDPs respond to all known DC poietins and generate all lymphoid tissue DCs in vivo and in vitro. Additionally, in vitro CDPs recapitulate the cell surface marker and gene expression profile of in vivo CDPs and possess a DC-primed transcription profile. Transforming growth factor-β1 (TGF-β1) impacts on CDPs and directs their differentiation towards cDCs. Genome-wide gene expression profiling of TGF-β1-induced genes identified transcription factors, such as interferon regulatory factor-4 (IRF-4) and RelB, that are implicated as instructive factors for cDC subset specification. TGF-β1 also induced the transcription factor inhibitor of differentiation/DNA binding 2 (Id2) that suppresses pDC development. Thus, TGF-β1 directs CDP differentiation into cDC by inducing both cDC instructive factors and pDC inhibitory factors."}
{"STANDARD_NAME":"GSE22432_CDC_VS_COMMON_DC_PROGENITOR_UP","SYSTEMATIC_NAME":"M7831","ORGANISM":"Mus musculus","PMID":"20881193","AUTHORS":"Felker P,Seré K,Lin Q,Becker C,Hristov M,Hieronymus T,Zenke M","GEOID":"GSE22432","EXACT_SOURCE":"GSE22432_3618_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in common dendritic cells versus those cultured and untreated.","DESCRIPTION_FULL":"Dendritic cells (DCs) in lymphoid tissue comprise conventional DCs (cDCs) and plasmacytoid DCs (pDCs) that develop from common DC progenitors (CDPs). CDPs are Flt3+c-kitintM-CSFR+ and reside in bone marrow. Here we describe a two-step culture system that recapitulates DC development from c-kithiFlt3-/lo multipotent progenitors (MPPs) into CDPs and further into cDC and pDC subsets. MPPs and CDPs are amplified in vitro with Flt3 ligand, stem cell factor, hyper-IL-6 and insulin- like growth factor-1. The four-factor cocktail readily induces self-renewal of MPPs and their progression into CDPs and has no self-renewal activity on CDPs. The amplified CDPs respond to all known DC poietins and generate all lymphoid tissue DCs in vivo and in vitro. Additionally, in vitro CDPs recapitulate the cell surface marker and gene expression profile of in vivo CDPs and possess a DC-primed transcription profile. Transforming growth factor-β1 (TGF-β1) impacts on CDPs and directs their differentiation towards cDCs. Genome-wide gene expression profiling of TGF-β1-induced genes identified transcription factors, such as interferon regulatory factor-4 (IRF-4) and RelB, that are implicated as instructive factors for cDC subset specification. TGF-β1 also induced the transcription factor inhibitor of differentiation/DNA binding 2 (Id2) that suppresses pDC development. Thus, TGF-β1 directs CDP differentiation into cDC by inducing both cDC instructive factors and pDC inhibitory factors."}
{"STANDARD_NAME":"GSE22432_MULTIPOTENT_VS_COMMON_DC_PROGENITOR_UNTREATED_UP","SYSTEMATIC_NAME":"M7832","ORGANISM":"Mus musculus","PMID":"20881193","AUTHORS":"Felker P,Seré K,Lin Q,Becker C,Hristov M,Hieronymus T,Zenke M","GEOID":"GSE22432","EXACT_SOURCE":"GSE22432_3616_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in amplified multipotent progenitors versus cultured untreated common dendritic cell progenitors.","DESCRIPTION_FULL":"Dendritic cells (DCs) in lymphoid tissue comprise conventional DCs (cDCs) and plasmacytoid DCs (pDCs) that develop from common DC progenitors (CDPs). CDPs are Flt3+c-kitintM-CSFR+ and reside in bone marrow. Here we describe a two-step culture system that recapitulates DC development from c-kithiFlt3-/lo multipotent progenitors (MPPs) into CDPs and further into cDC and pDC subsets. MPPs and CDPs are amplified in vitro with Flt3 ligand, stem cell factor, hyper-IL-6 and insulin- like growth factor-1. The four-factor cocktail readily induces self-renewal of MPPs and their progression into CDPs and has no self-renewal activity on CDPs. The amplified CDPs respond to all known DC poietins and generate all lymphoid tissue DCs in vivo and in vitro. Additionally, in vitro CDPs recapitulate the cell surface marker and gene expression profile of in vivo CDPs and possess a DC-primed transcription profile. Transforming growth factor-β1 (TGF-β1) impacts on CDPs and directs their differentiation towards cDCs. Genome-wide gene expression profiling of TGF-β1-induced genes identified transcription factors, such as interferon regulatory factor-4 (IRF-4) and RelB, that are implicated as instructive factors for cDC subset specification. TGF-β1 also induced the transcription factor inhibitor of differentiation/DNA binding 2 (Id2) that suppresses pDC development. Thus, TGF-β1 directs CDP differentiation into cDC by inducing both cDC instructive factors and pDC inhibitory factors."}
{"STANDARD_NAME":"GSE22432_PDC_VS_TGFB1_TREATEDCOMMON_DC_PROGENITOR_DN","SYSTEMATIC_NAME":"M7833","ORGANISM":"Mus musculus","PMID":"20881193","AUTHORS":"Felker P,Seré K,Lin Q,Becker C,Hristov M,Hieronymus T,Zenke M","GEOID":"GSE22432","EXACT_SOURCE":"GSE22432_3619_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in dendritic cells: plasmacytoid versus cultured common progenitors treated by TGFB1 [GeneID=7040] for 4h.","DESCRIPTION_FULL":"Dendritic cells (DCs) in lymphoid tissue comprise conventional DCs (cDCs) and plasmacytoid DCs (pDCs) that develop from common DC progenitors (CDPs). CDPs are Flt3+c-kitintM-CSFR+ and reside in bone marrow. Here we describe a two-step culture system that recapitulates DC development from c-kithiFlt3-/lo multipotent progenitors (MPPs) into CDPs and further into cDC and pDC subsets. MPPs and CDPs are amplified in vitro with Flt3 ligand, stem cell factor, hyper-IL-6 and insulin- like growth factor-1. The four-factor cocktail readily induces self-renewal of MPPs and their progression into CDPs and has no self-renewal activity on CDPs. The amplified CDPs respond to all known DC poietins and generate all lymphoid tissue DCs in vivo and in vitro. Additionally, in vitro CDPs recapitulate the cell surface marker and gene expression profile of in vivo CDPs and possess a DC-primed transcription profile. Transforming growth factor-β1 (TGF-β1) impacts on CDPs and directs their differentiation towards cDCs. Genome-wide gene expression profiling of TGF-β1-induced genes identified transcription factors, such as interferon regulatory factor-4 (IRF-4) and RelB, that are implicated as instructive factors for cDC subset specification. TGF-β1 also induced the transcription factor inhibitor of differentiation/DNA binding 2 (Id2) that suppresses pDC development. Thus, TGF-β1 directs CDP differentiation into cDC by inducing both cDC instructive factors and pDC inhibitory factors."}
{"STANDARD_NAME":"GSE22432_PDC_VS_TGFB1_TREATEDCOMMON_DC_PROGENITOR_UP","SYSTEMATIC_NAME":"M7835","ORGANISM":"Mus musculus","PMID":"20881193","AUTHORS":"Felker P,Seré K,Lin Q,Becker C,Hristov M,Hieronymus T,Zenke M","GEOID":"GSE22432","EXACT_SOURCE":"GSE22432_3619_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in dendritic cells: plasmacytoid versus cultured common progenitors treated by TGFB1 [GeneID=7040] for 4h.","DESCRIPTION_FULL":"Dendritic cells (DCs) in lymphoid tissue comprise conventional DCs (cDCs) and plasmacytoid DCs (pDCs) that develop from common DC progenitors (CDPs). CDPs are Flt3+c-kitintM-CSFR+ and reside in bone marrow. Here we describe a two-step culture system that recapitulates DC development from c-kithiFlt3-/lo multipotent progenitors (MPPs) into CDPs and further into cDC and pDC subsets. MPPs and CDPs are amplified in vitro with Flt3 ligand, stem cell factor, hyper-IL-6 and insulin- like growth factor-1. The four-factor cocktail readily induces self-renewal of MPPs and their progression into CDPs and has no self-renewal activity on CDPs. The amplified CDPs respond to all known DC poietins and generate all lymphoid tissue DCs in vivo and in vitro. Additionally, in vitro CDPs recapitulate the cell surface marker and gene expression profile of in vivo CDPs and possess a DC-primed transcription profile. Transforming growth factor-β1 (TGF-β1) impacts on CDPs and directs their differentiation towards cDCs. Genome-wide gene expression profiling of TGF-β1-induced genes identified transcription factors, such as interferon regulatory factor-4 (IRF-4) and RelB, that are implicated as instructive factors for cDC subset specification. TGF-β1 also induced the transcription factor inhibitor of differentiation/DNA binding 2 (Id2) that suppresses pDC development. Thus, TGF-β1 directs CDP differentiation into cDC by inducing both cDC instructive factors and pDC inhibitory factors."}
{"STANDARD_NAME":"GSE22919_RESTING_VS_IL2_IL12_IL15_STIM_NK_CELL_DN","SYSTEMATIC_NAME":"M7836","ORGANISM":"Homo sapiens","PMID":"20944005","AUTHORS":"Smith MA,Maurin M,Cho HI,Becknell B,Freud AG,Yu J,Wei S,Djeu J,Celis E,Caligiuri MA,Wright KL","GEOID":"GSE22919","EXACT_SOURCE":"GSE22919_2501_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in NK cells: fresh versus stimulated with IL2 [GeneID=3558], IL-12 and IL15 [GeneID=3600].","DESCRIPTION_FULL":"We used Affymetrix expression arrays to determine changes in gene expression associated with activation of human NK cells mediated through treatment with cytokines IL-2, IL-12 and IL-18 over a 24 hour period."}
{"STANDARD_NAME":"GSE22919_RESTING_VS_IL2_IL12_IL15_STIM_NK_CELL_UP","SYSTEMATIC_NAME":"M7837","ORGANISM":"Homo sapiens","PMID":"20944005","AUTHORS":"Smith MA,Maurin M,Cho HI,Becknell B,Freud AG,Yu J,Wei S,Djeu J,Celis E,Caligiuri MA,Wright KL","GEOID":"GSE22919","EXACT_SOURCE":"GSE22919_2501_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in NK cells: fresh versus stimulated with IL2 [GeneID=3558], IL-12 and IL15 [GeneID=3600].","DESCRIPTION_FULL":"We used Affymetrix expression arrays to determine changes in gene expression associated with activation of human NK cells mediated through treatment with cytokines IL-2, IL-12 and IL-18 over a 24 hour period."}
{"STANDARD_NAME":"GSE24210_RESTING_TREG_VS_TCONV_UP","SYSTEMATIC_NAME":"M7839","ORGANISM":"Mus musculus","PMID":"20953201","AUTHORS":"Collison LW,Chaturvedi V,Henderson AL,Giacomin PR,Guy C,Bankoti J,Finkelstein D,Forbes K,Workman CJ,Brown SA,Rehg JE,Jones ML,Ni HT,Artis D,Turk MJ,Vignali DA","GEOID":"GSE24210","EXACT_SOURCE":"GSE24210_2706_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in resting T reg versus T conv cells.","DESCRIPTION_FULL":"Regulatory T cells (Tregs) play a critical role in the maintenance of immunological self-tolerance. Naïve human or murine T cell treatment with the inhibitory cytokine IL35 induces a regulatory population, termed iTR35, that mediates suppression via IL35, but not IL10 or TGFβ, neither express nor require Foxp3, are strongly suppressive in five in vivo models, and exhibit in vivo stability. Treg-mediated suppression induces iTR35 generation in an IL35- and IL10-dependent manner in vitro, and in inflammatory conditions in vivo in Trichuris-infected intestines and within the tumor microenvironment, where they appear to contribute to the regulatory milieu. iTR35 may constitute a key mediator of infectious tolerance and may contribute to Treg-mediated tumor progression, and ex vivo-generated iTR35 may possess therapeutic utility."}
{"STANDARD_NAME":"GSE24210_RESTING_TREG_VS_TCONV_DN","SYSTEMATIC_NAME":"M7840","ORGANISM":"Mus musculus","PMID":"20953201","AUTHORS":"Collison LW,Chaturvedi V,Henderson AL,Giacomin PR,Guy C,Bankoti J,Finkelstein D,Forbes K,Workman CJ,Brown SA,Rehg JE,Jones ML,Ni HT,Artis D,Turk MJ,Vignali DA","GEOID":"GSE24210","EXACT_SOURCE":"GSE24210_2706_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in resting T reg versus T conv cells.","DESCRIPTION_FULL":"Regulatory T cells (Tregs) play a critical role in the maintenance of immunological self-tolerance. Naïve human or murine T cell treatment with the inhibitory cytokine IL35 induces a regulatory population, termed iTR35, that mediates suppression via IL35, but not IL10 or TGFβ, neither express nor require Foxp3, are strongly suppressive in five in vivo models, and exhibit in vivo stability. Treg-mediated suppression induces iTR35 generation in an IL35- and IL10-dependent manner in vitro, and in inflammatory conditions in vivo in Trichuris-infected intestines and within the tumor microenvironment, where they appear to contribute to the regulatory milieu. iTR35 may constitute a key mediator of infectious tolerance and may contribute to Treg-mediated tumor progression, and ex vivo-generated iTR35 may possess therapeutic utility."}
{"STANDARD_NAME":"GSE24210_CTRL_VS_IL35_TREATED_TCONV_CD4_TCELL_UP","SYSTEMATIC_NAME":"M7841","ORGANISM":"Mus musculus","PMID":"20953201","AUTHORS":"Collison LW,Chaturvedi V,Henderson AL,Giacomin PR,Guy C,Bankoti J,Finkelstein D,Forbes K,Workman CJ,Brown SA,Rehg JE,Jones ML,Ni HT,Artis D,Turk MJ,Vignali DA","GEOID":"GSE24210","EXACT_SOURCE":"GSE24210_2705_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in T conv cells: control versus treated with IL35.","DESCRIPTION_FULL":"Regulatory T cells (Tregs) play a critical role in the maintenance of immunological self-tolerance. Naïve human or murine T cell treatment with the inhibitory cytokine IL35 induces a regulatory population, termed iTR35, that mediates suppression via IL35, but not IL10 or TGFβ, neither express nor require Foxp3, are strongly suppressive in five in vivo models, and exhibit in vivo stability. Treg-mediated suppression induces iTR35 generation in an IL35- and IL10-dependent manner in vitro, and in inflammatory conditions in vivo in Trichuris-infected intestines and within the tumor microenvironment, where they appear to contribute to the regulatory milieu. iTR35 may constitute a key mediator of infectious tolerance and may contribute to Treg-mediated tumor progression, and ex vivo-generated iTR35 may possess therapeutic utility."}
{"STANDARD_NAME":"GSE24210_CTRL_VS_IL35_TREATED_TCONV_CD4_TCELL_DN","SYSTEMATIC_NAME":"M7842","ORGANISM":"Mus musculus","PMID":"20953201","AUTHORS":"Collison LW,Chaturvedi V,Henderson AL,Giacomin PR,Guy C,Bankoti J,Finkelstein D,Forbes K,Workman CJ,Brown SA,Rehg JE,Jones ML,Ni HT,Artis D,Turk MJ,Vignali DA","GEOID":"GSE24210","EXACT_SOURCE":"GSE24210_2705_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in T conv cells: control versus treated with IL35.","DESCRIPTION_FULL":"Regulatory T cells (Tregs) play a critical role in the maintenance of immunological self-tolerance. Naïve human or murine T cell treatment with the inhibitory cytokine IL35 induces a regulatory population, termed iTR35, that mediates suppression via IL35, but not IL10 or TGFβ, neither express nor require Foxp3, are strongly suppressive in five in vivo models, and exhibit in vivo stability. Treg-mediated suppression induces iTR35 generation in an IL35- and IL10-dependent manner in vitro, and in inflammatory conditions in vivo in Trichuris-infected intestines and within the tumor microenvironment, where they appear to contribute to the regulatory milieu. iTR35 may constitute a key mediator of infectious tolerance and may contribute to Treg-mediated tumor progression, and ex vivo-generated iTR35 may possess therapeutic utility."}
{"STANDARD_NAME":"GSE24210_IL35_TREATED_VS_RESTING_TREG_DN","SYSTEMATIC_NAME":"M7843","ORGANISM":"Mus musculus","PMID":"20953201","AUTHORS":"Collison LW,Chaturvedi V,Henderson AL,Giacomin PR,Guy C,Bankoti J,Finkelstein D,Forbes K,Workman CJ,Brown SA,Rehg JE,Jones ML,Ni HT,Artis D,Turk MJ,Vignali DA","GEOID":"GSE24210","EXACT_SOURCE":"GSE24210_2710_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in T conv cells treated with IL35 versus resting T reg cells.","DESCRIPTION_FULL":"Regulatory T cells (Tregs) play a critical role in the maintenance of immunological self-tolerance. Naïve human or murine T cell treatment with the inhibitory cytokine IL35 induces a regulatory population, termed iTR35, that mediates suppression via IL35, but not IL10 or TGFβ, neither express nor require Foxp3, are strongly suppressive in five in vivo models, and exhibit in vivo stability. Treg-mediated suppression induces iTR35 generation in an IL35- and IL10-dependent manner in vitro, and in inflammatory conditions in vivo in Trichuris-infected intestines and within the tumor microenvironment, where they appear to contribute to the regulatory milieu. iTR35 may constitute a key mediator of infectious tolerance and may contribute to Treg-mediated tumor progression, and ex vivo-generated iTR35 may possess therapeutic utility."}
{"STANDARD_NAME":"GSE24210_TCONV_VS_TREG_DN","SYSTEMATIC_NAME":"M7844","ORGANISM":"Mus musculus","PMID":"20953201","AUTHORS":"Collison LW,Chaturvedi V,Henderson AL,Giacomin PR,Guy C,Bankoti J,Finkelstein D,Forbes K,Workman CJ,Brown SA,Rehg JE,Jones ML,Ni HT,Artis D,Turk MJ,Vignali DA","GEOID":"GSE24210","EXACT_SOURCE":"GSE24210_2709_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in control T conv versus resting T reg cells.","DESCRIPTION_FULL":"Regulatory T cells (Tregs) play a critical role in the maintenance of immunological self-tolerance. Naïve human or murine T cell treatment with the inhibitory cytokine IL35 induces a regulatory population, termed iTR35, that mediates suppression via IL35, but not IL10 or TGFβ, neither express nor require Foxp3, are strongly suppressive in five in vivo models, and exhibit in vivo stability. Treg-mediated suppression induces iTR35 generation in an IL35- and IL10-dependent manner in vitro, and in inflammatory conditions in vivo in Trichuris-infected intestines and within the tumor microenvironment, where they appear to contribute to the regulatory milieu. iTR35 may constitute a key mediator of infectious tolerance and may contribute to Treg-mediated tumor progression, and ex vivo-generated iTR35 may possess therapeutic utility."}
{"STANDARD_NAME":"GSE24210_IL35_TREATED_VS_UNTREATED_TCONV_CD4_TCELL_UP","SYSTEMATIC_NAME":"M7845","ORGANISM":"Mus musculus","PMID":"20953201","AUTHORS":"Collison LW,Chaturvedi V,Henderson AL,Giacomin PR,Guy C,Bankoti J,Finkelstein D,Forbes K,Workman CJ,Brown SA,Rehg JE,Jones ML,Ni HT,Artis D,Turk MJ,Vignali DA","GEOID":"GSE24210","EXACT_SOURCE":"GSE24210_2708_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in T conv cells: IL35 treated versus untreated.","DESCRIPTION_FULL":"Regulatory T cells (Tregs) play a critical role in the maintenance of immunological self-tolerance. Naïve human or murine T cell treatment with the inhibitory cytokine IL35 induces a regulatory population, termed iTR35, that mediates suppression via IL35, but not IL10 or TGFβ, neither express nor require Foxp3, are strongly suppressive in five in vivo models, and exhibit in vivo stability. Treg-mediated suppression induces iTR35 generation in an IL35- and IL10-dependent manner in vitro, and in inflammatory conditions in vivo in Trichuris-infected intestines and within the tumor microenvironment, where they appear to contribute to the regulatory milieu. iTR35 may constitute a key mediator of infectious tolerance and may contribute to Treg-mediated tumor progression, and ex vivo-generated iTR35 may possess therapeutic utility."}
{"STANDARD_NAME":"GSE24210_IL35_TREATED_VS_RESTING_TREG_UP","SYSTEMATIC_NAME":"M7848","ORGANISM":"Mus musculus","PMID":"20953201","AUTHORS":"Collison LW,Chaturvedi V,Henderson AL,Giacomin PR,Guy C,Bankoti J,Finkelstein D,Forbes K,Workman CJ,Brown SA,Rehg JE,Jones ML,Ni HT,Artis D,Turk MJ,Vignali DA","GEOID":"GSE24210","EXACT_SOURCE":"GSE24210_2710_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in T conv cells treated with IL35 versus resting T reg cells.","DESCRIPTION_FULL":"Regulatory T cells (Tregs) play a critical role in the maintenance of immunological self-tolerance. Naïve human or murine T cell treatment with the inhibitory cytokine IL35 induces a regulatory population, termed iTR35, that mediates suppression via IL35, but not IL10 or TGFβ, neither express nor require Foxp3, are strongly suppressive in five in vivo models, and exhibit in vivo stability. Treg-mediated suppression induces iTR35 generation in an IL35- and IL10-dependent manner in vitro, and in inflammatory conditions in vivo in Trichuris-infected intestines and within the tumor microenvironment, where they appear to contribute to the regulatory milieu. iTR35 may constitute a key mediator of infectious tolerance and may contribute to Treg-mediated tumor progression, and ex vivo-generated iTR35 may possess therapeutic utility."}
{"STANDARD_NAME":"GSE24210_IL35_TREATED_VS_UNTREATED_TCONV_CD4_TCELL_DN","SYSTEMATIC_NAME":"M7850","ORGANISM":"Mus musculus","PMID":"20953201","AUTHORS":"Collison LW,Chaturvedi V,Henderson AL,Giacomin PR,Guy C,Bankoti J,Finkelstein D,Forbes K,Workman CJ,Brown SA,Rehg JE,Jones ML,Ni HT,Artis D,Turk MJ,Vignali DA","GEOID":"GSE24210","EXACT_SOURCE":"GSE24210_2708_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in T conv cells: IL35 treated versus untreated.","DESCRIPTION_FULL":"Regulatory T cells (Tregs) play a critical role in the maintenance of immunological self-tolerance. Naïve human or murine T cell treatment with the inhibitory cytokine IL35 induces a regulatory population, termed iTR35, that mediates suppression via IL35, but not IL10 or TGFβ, neither express nor require Foxp3, are strongly suppressive in five in vivo models, and exhibit in vivo stability. Treg-mediated suppression induces iTR35 generation in an IL35- and IL10-dependent manner in vitro, and in inflammatory conditions in vivo in Trichuris-infected intestines and within the tumor microenvironment, where they appear to contribute to the regulatory milieu. iTR35 may constitute a key mediator of infectious tolerance and may contribute to Treg-mediated tumor progression, and ex vivo-generated iTR35 may possess therapeutic utility."}
{"STANDARD_NAME":"GSE24210_TCONV_VS_TREG_UP","SYSTEMATIC_NAME":"M7851","ORGANISM":"Mus musculus","PMID":"20953201","AUTHORS":"Collison LW,Chaturvedi V,Henderson AL,Giacomin PR,Guy C,Bankoti J,Finkelstein D,Forbes K,Workman CJ,Brown SA,Rehg JE,Jones ML,Ni HT,Artis D,Turk MJ,Vignali DA","GEOID":"GSE24210","EXACT_SOURCE":"GSE24210_2709_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in control T conv versus resting T reg cells.","DESCRIPTION_FULL":"Regulatory T cells (Tregs) play a critical role in the maintenance of immunological self-tolerance. Naïve human or murine T cell treatment with the inhibitory cytokine IL35 induces a regulatory population, termed iTR35, that mediates suppression via IL35, but not IL10 or TGFβ, neither express nor require Foxp3, are strongly suppressive in five in vivo models, and exhibit in vivo stability. Treg-mediated suppression induces iTR35 generation in an IL35- and IL10-dependent manner in vitro, and in inflammatory conditions in vivo in Trichuris-infected intestines and within the tumor microenvironment, where they appear to contribute to the regulatory milieu. iTR35 may constitute a key mediator of infectious tolerance and may contribute to Treg-mediated tumor progression, and ex vivo-generated iTR35 may possess therapeutic utility."}
{"STANDARD_NAME":"GSE23505_UNTREATED_VS_4DAY_IL6_IL1_TGFB_TREATED_CD4_TCELL_UP","SYSTEMATIC_NAME":"M7852","ORGANISM":"Mus musculus","PMID":"20962846","AUTHORS":"Ghoreschi K,Laurence A,Yang XP,Tato CM,McGeachy MJ,Konkel JE,Ramos HL,Wei L,Davidson TS,Bouladoux N,Grainger JR,Chen Q,Kanno Y,Watford WT,Sun HW,Eberl G,Shevach EM,Belkaid Y,Cua DJ,Chen W,O'Shea JJ","GEOID":"GSE23505","EXACT_SOURCE":"GSE23505_2886_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells: untreated versus IL6 and TGFB1 [GeneID=3569;7040].","DESCRIPTION_FULL":"CD4+ T cells that selectively produce interleukin (IL)-17, are critical for host defense and autoimmunity1-4. Crucial for T helper17 (Th17) cells in vivo5,6, IL-23 has been thought to be incapable of driving initial differentiation. Rather, IL-6 and transforming growth factor (TGF)-β1 have been argued to be the factors responsible for initiating specification7-10. Herein, we show that Th17 differentiation occurs in the absence of TGF-β signaling. Neither IL-6 nor IL-23 alone efficiently generated Th17 cells; however, these cytokines in combination with IL-1β effectively induced IL-17 production in naïve precursors, independently of TGF-β. Epigenetic modification of the Il17a/Il17f and Rorc promoters proceeded without TGF-β1, allowing the generation of cells that co-expressed Rorγt and T-bet. T-bet+Rorγt+ Th17 cells are generated in vivo during experimental allergic encephalomyelitis (EAE), and adoptively transferred Th17 cells generated with IL-23 in the absence of TGF-β1 were more pathogenic in this experimental disease. These data suggest a new model for Th17 differentiation. Consistent with genetic data linking the IL23R with autoimmunity, our findings re-emphasize the role of IL-23 and therefore have important implications for the development of new therapies."}
{"STANDARD_NAME":"GSE23505_UNTREATED_VS_4DAY_IL6_IL1_IL23_TREATED_CD4_TCELL_DN","SYSTEMATIC_NAME":"M7853","ORGANISM":"Mus musculus","PMID":"20962846","AUTHORS":"Ghoreschi K,Laurence A,Yang XP,Tato CM,McGeachy MJ,Konkel JE,Ramos HL,Wei L,Davidson TS,Bouladoux N,Grainger JR,Chen Q,Kanno Y,Watford WT,Sun HW,Eberl G,Shevach EM,Belkaid Y,Cua DJ,Chen W,O'Shea JJ","GEOID":"GSE23505","EXACT_SOURCE":"GSE23505_2885_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells: untreated versus IL1B, IL6 [GeneID=3553;3569] and IL-23.","DESCRIPTION_FULL":"CD4+ T cells that selectively produce interleukin (IL)-17, are critical for host defense and autoimmunity1-4. Crucial for T helper17 (Th17) cells in vivo5,6, IL-23 has been thought to be incapable of driving initial differentiation. Rather, IL-6 and transforming growth factor (TGF)-β1 have been argued to be the factors responsible for initiating specification7-10. Herein, we show that Th17 differentiation occurs in the absence of TGF-β signaling. Neither IL-6 nor IL-23 alone efficiently generated Th17 cells; however, these cytokines in combination with IL-1β effectively induced IL-17 production in naïve precursors, independently of TGF-β. Epigenetic modification of the Il17a/Il17f and Rorc promoters proceeded without TGF-β1, allowing the generation of cells that co-expressed Rorγt and T-bet. T-bet+Rorγt+ Th17 cells are generated in vivo during experimental allergic encephalomyelitis (EAE), and adoptively transferred Th17 cells generated with IL-23 in the absence of TGF-β1 were more pathogenic in this experimental disease. These data suggest a new model for Th17 differentiation. Consistent with genetic data linking the IL23R with autoimmunity, our findings re-emphasize the role of IL-23 and therefore have important implications for the development of new therapies."}
{"STANDARD_NAME":"GSE23505_UNTREATED_VS_4DAY_IL6_IL1_IL23_TREATED_CD4_TCELL_UP","SYSTEMATIC_NAME":"M7856","ORGANISM":"Mus musculus","PMID":"20962846","AUTHORS":"Ghoreschi K,Laurence A,Yang XP,Tato CM,McGeachy MJ,Konkel JE,Ramos HL,Wei L,Davidson TS,Bouladoux N,Grainger JR,Chen Q,Kanno Y,Watford WT,Sun HW,Eberl G,Shevach EM,Belkaid Y,Cua DJ,Chen W,O'Shea JJ","GEOID":"GSE23505","EXACT_SOURCE":"GSE23505_2885_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells: untreated versus IL1B, IL6 [GeneID=3553;3569] and IL-23.","DESCRIPTION_FULL":"CD4+ T cells that selectively produce interleukin (IL)-17, are critical for host defense and autoimmunity1-4. Crucial for T helper17 (Th17) cells in vivo5,6, IL-23 has been thought to be incapable of driving initial differentiation. Rather, IL-6 and transforming growth factor (TGF)-β1 have been argued to be the factors responsible for initiating specification7-10. Herein, we show that Th17 differentiation occurs in the absence of TGF-β signaling. Neither IL-6 nor IL-23 alone efficiently generated Th17 cells; however, these cytokines in combination with IL-1β effectively induced IL-17 production in naïve precursors, independently of TGF-β. Epigenetic modification of the Il17a/Il17f and Rorc promoters proceeded without TGF-β1, allowing the generation of cells that co-expressed Rorγt and T-bet. T-bet+Rorγt+ Th17 cells are generated in vivo during experimental allergic encephalomyelitis (EAE), and adoptively transferred Th17 cells generated with IL-23 in the absence of TGF-β1 were more pathogenic in this experimental disease. These data suggest a new model for Th17 differentiation. Consistent with genetic data linking the IL23R with autoimmunity, our findings re-emphasize the role of IL-23 and therefore have important implications for the development of new therapies."}
{"STANDARD_NAME":"GSE23505_UNTREATED_VS_4DAY_IL6_IL1_TREATED_CD4_TCELL_UP","SYSTEMATIC_NAME":"M7858","ORGANISM":"Mus musculus","PMID":"20962846","AUTHORS":"Ghoreschi K,Laurence A,Yang XP,Tato CM,McGeachy MJ,Konkel JE,Ramos HL,Wei L,Davidson TS,Bouladoux N,Grainger JR,Chen Q,Kanno Y,Watford WT,Sun HW,Eberl G,Shevach EM,Belkaid Y,Cua DJ,Chen W,O'Shea JJ","GEOID":"GSE23505","EXACT_SOURCE":"GSE23505_2884_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells: untreated versus IL1B and IL6 [GeneID=3553;3569].","DESCRIPTION_FULL":"CD4+ T cells that selectively produce interleukin (IL)-17, are critical for host defense and autoimmunity1-4. Crucial for T helper17 (Th17) cells in vivo5,6, IL-23 has been thought to be incapable of driving initial differentiation. Rather, IL-6 and transforming growth factor (TGF)-β1 have been argued to be the factors responsible for initiating specification7-10. Herein, we show that Th17 differentiation occurs in the absence of TGF-β signaling. Neither IL-6 nor IL-23 alone efficiently generated Th17 cells; however, these cytokines in combination with IL-1β effectively induced IL-17 production in naïve precursors, independently of TGF-β. Epigenetic modification of the Il17a/Il17f and Rorc promoters proceeded without TGF-β1, allowing the generation of cells that co-expressed Rorγt and T-bet. T-bet+Rorγt+ Th17 cells are generated in vivo during experimental allergic encephalomyelitis (EAE), and adoptively transferred Th17 cells generated with IL-23 in the absence of TGF-β1 were more pathogenic in this experimental disease. These data suggest a new model for Th17 differentiation. Consistent with genetic data linking the IL23R with autoimmunity, our findings re-emphasize the role of IL-23 and therefore have important implications for the development of new therapies."}
{"STANDARD_NAME":"GSE23505_IL6_IL1_VS_IL6_IL1_IL23_TREATED_CD4_TCELL_DN","SYSTEMATIC_NAME":"M7859","ORGANISM":"Mus musculus","PMID":"20962846","AUTHORS":"Ghoreschi K,Laurence A,Yang XP,Tato CM,McGeachy MJ,Konkel JE,Ramos HL,Wei L,Davidson TS,Bouladoux N,Grainger JR,Chen Q,Kanno Y,Watford WT,Sun HW,Eberl G,Shevach EM,Belkaid Y,Cua DJ,Chen W,O'Shea JJ","GEOID":"GSE23505","EXACT_SOURCE":"GSE23505_2887_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells treated with IL1B and IL6 [GeneID=3553;3569] versus those also treated with IL-23.","DESCRIPTION_FULL":"CD4+ T cells that selectively produce interleukin (IL)-17, are critical for host defense and autoimmunity1-4. Crucial for T helper17 (Th17) cells in vivo5,6, IL-23 has been thought to be incapable of driving initial differentiation. Rather, IL-6 and transforming growth factor (TGF)-β1 have been argued to be the factors responsible for initiating specification7-10. Herein, we show that Th17 differentiation occurs in the absence of TGF-β signaling. Neither IL-6 nor IL-23 alone efficiently generated Th17 cells; however, these cytokines in combination with IL-1β effectively induced IL-17 production in naïve precursors, independently of TGF-β. Epigenetic modification of the Il17a/Il17f and Rorc promoters proceeded without TGF-β1, allowing the generation of cells that co-expressed Rorγt and T-bet. T-bet+Rorγt+ Th17 cells are generated in vivo during experimental allergic encephalomyelitis (EAE), and adoptively transferred Th17 cells generated with IL-23 in the absence of TGF-β1 were more pathogenic in this experimental disease. These data suggest a new model for Th17 differentiation. Consistent with genetic data linking the IL23R with autoimmunity, our findings re-emphasize the role of IL-23 and therefore have important implications for the development of new therapies."}
{"STANDARD_NAME":"GSE23505_IL6_IL1_VS_IL6_IL1_TGFB_TREATED_CD4_TCELL_DN","SYSTEMATIC_NAME":"M7861","ORGANISM":"Mus musculus","PMID":"20962846","AUTHORS":"Ghoreschi K,Laurence A,Yang XP,Tato CM,McGeachy MJ,Konkel JE,Ramos HL,Wei L,Davidson TS,Bouladoux N,Grainger JR,Chen Q,Kanno Y,Watford WT,Sun HW,Eberl G,Shevach EM,Belkaid Y,Cua DJ,Chen W,O'Shea JJ","GEOID":"GSE23505","EXACT_SOURCE":"GSE23505_2888_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells treated with IL1B and IL6 [GeneID=3553;3569] versus those also treated with TGFB1 [GeneID=7040].","DESCRIPTION_FULL":"CD4+ T cells that selectively produce interleukin (IL)-17, are critical for host defense and autoimmunity1-4. Crucial for T helper17 (Th17) cells in vivo5,6, IL-23 has been thought to be incapable of driving initial differentiation. Rather, IL-6 and transforming growth factor (TGF)-β1 have been argued to be the factors responsible for initiating specification7-10. Herein, we show that Th17 differentiation occurs in the absence of TGF-β signaling. Neither IL-6 nor IL-23 alone efficiently generated Th17 cells; however, these cytokines in combination with IL-1β effectively induced IL-17 production in naïve precursors, independently of TGF-β. Epigenetic modification of the Il17a/Il17f and Rorc promoters proceeded without TGF-β1, allowing the generation of cells that co-expressed Rorγt and T-bet. T-bet+Rorγt+ Th17 cells are generated in vivo during experimental allergic encephalomyelitis (EAE), and adoptively transferred Th17 cells generated with IL-23 in the absence of TGF-β1 were more pathogenic in this experimental disease. These data suggest a new model for Th17 differentiation. Consistent with genetic data linking the IL23R with autoimmunity, our findings re-emphasize the role of IL-23 and therefore have important implications for the development of new therapies."}
{"STANDARD_NAME":"GSE23505_UNTREATED_VS_4DAY_IL6_IL1_TREATED_CD4_TCELL_DN","SYSTEMATIC_NAME":"M7863","ORGANISM":"Mus musculus","PMID":"20962846","AUTHORS":"Ghoreschi K,Laurence A,Yang XP,Tato CM,McGeachy MJ,Konkel JE,Ramos HL,Wei L,Davidson TS,Bouladoux N,Grainger JR,Chen Q,Kanno Y,Watford WT,Sun HW,Eberl G,Shevach EM,Belkaid Y,Cua DJ,Chen W,O'Shea JJ","GEOID":"GSE23505","EXACT_SOURCE":"GSE23505_2884_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells: untreated versus IL1B and IL6 [GeneID=3553;3569].","DESCRIPTION_FULL":"CD4+ T cells that selectively produce interleukin (IL)-17, are critical for host defense and autoimmunity1-4. Crucial for T helper17 (Th17) cells in vivo5,6, IL-23 has been thought to be incapable of driving initial differentiation. Rather, IL-6 and transforming growth factor (TGF)-β1 have been argued to be the factors responsible for initiating specification7-10. Herein, we show that Th17 differentiation occurs in the absence of TGF-β signaling. Neither IL-6 nor IL-23 alone efficiently generated Th17 cells; however, these cytokines in combination with IL-1β effectively induced IL-17 production in naïve precursors, independently of TGF-β. Epigenetic modification of the Il17a/Il17f and Rorc promoters proceeded without TGF-β1, allowing the generation of cells that co-expressed Rorγt and T-bet. T-bet+Rorγt+ Th17 cells are generated in vivo during experimental allergic encephalomyelitis (EAE), and adoptively transferred Th17 cells generated with IL-23 in the absence of TGF-β1 were more pathogenic in this experimental disease. These data suggest a new model for Th17 differentiation. Consistent with genetic data linking the IL23R with autoimmunity, our findings re-emphasize the role of IL-23 and therefore have important implications for the development of new therapies."}
{"STANDARD_NAME":"GSE23505_IL6_IL1_IL23_VS_IL6_IL1_TGFB_TREATED_CD4_TCELL_UP","SYSTEMATIC_NAME":"M7864","ORGANISM":"Mus musculus","PMID":"20962846","AUTHORS":"Ghoreschi K,Laurence A,Yang XP,Tato CM,McGeachy MJ,Konkel JE,Ramos HL,Wei L,Davidson TS,Bouladoux N,Grainger JR,Chen Q,Kanno Y,Watford WT,Sun HW,Eberl G,Shevach EM,Belkaid Y,Cua DJ,Chen W,O'Shea JJ","GEOID":"GSE23505","EXACT_SOURCE":"GSE23505_2889_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells: IL1B, IL6 [GeneID=3553;3569] and IL-23 versus IL1B, IL6 and TGFB1 [GeneID=3553;3569;7040].","DESCRIPTION_FULL":"CD4+ T cells that selectively produce interleukin (IL)-17, are critical for host defense and autoimmunity1-4. Crucial for T helper17 (Th17) cells in vivo5,6, IL-23 has been thought to be incapable of driving initial differentiation. Rather, IL-6 and transforming growth factor (TGF)-β1 have been argued to be the factors responsible for initiating specification7-10. Herein, we show that Th17 differentiation occurs in the absence of TGF-β signaling. Neither IL-6 nor IL-23 alone efficiently generated Th17 cells; however, these cytokines in combination with IL-1β effectively induced IL-17 production in naïve precursors, independently of TGF-β. Epigenetic modification of the Il17a/Il17f and Rorc promoters proceeded without TGF-β1, allowing the generation of cells that co-expressed Rorγt and T-bet. T-bet+Rorγt+ Th17 cells are generated in vivo during experimental allergic encephalomyelitis (EAE), and adoptively transferred Th17 cells generated with IL-23 in the absence of TGF-β1 were more pathogenic in this experimental disease. These data suggest a new model for Th17 differentiation. Consistent with genetic data linking the IL23R with autoimmunity, our findings re-emphasize the role of IL-23 and therefore have important implications for the development of new therapies."}
{"STANDARD_NAME":"GSE23505_IL6_IL1_IL23_VS_IL6_IL1_TGFB_TREATED_CD4_TCELL_DN","SYSTEMATIC_NAME":"M7865","ORGANISM":"Mus musculus","PMID":"20962846","AUTHORS":"Ghoreschi K,Laurence A,Yang XP,Tato CM,McGeachy MJ,Konkel JE,Ramos HL,Wei L,Davidson TS,Bouladoux N,Grainger JR,Chen Q,Kanno Y,Watford WT,Sun HW,Eberl G,Shevach EM,Belkaid Y,Cua DJ,Chen W,O'Shea JJ","GEOID":"GSE23505","EXACT_SOURCE":"GSE23505_2889_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells: IL1B, IL6 [GeneID=3553;3569] and IL-23 versus IL1B, IL6 and TGFB1 [GeneID=3553;3569;7040].","DESCRIPTION_FULL":"CD4+ T cells that selectively produce interleukin (IL)-17, are critical for host defense and autoimmunity1-4. Crucial for T helper17 (Th17) cells in vivo5,6, IL-23 has been thought to be incapable of driving initial differentiation. Rather, IL-6 and transforming growth factor (TGF)-β1 have been argued to be the factors responsible for initiating specification7-10. Herein, we show that Th17 differentiation occurs in the absence of TGF-β signaling. Neither IL-6 nor IL-23 alone efficiently generated Th17 cells; however, these cytokines in combination with IL-1β effectively induced IL-17 production in naïve precursors, independently of TGF-β. Epigenetic modification of the Il17a/Il17f and Rorc promoters proceeded without TGF-β1, allowing the generation of cells that co-expressed Rorγt and T-bet. T-bet+Rorγt+ Th17 cells are generated in vivo during experimental allergic encephalomyelitis (EAE), and adoptively transferred Th17 cells generated with IL-23 in the absence of TGF-β1 were more pathogenic in this experimental disease. These data suggest a new model for Th17 differentiation. Consistent with genetic data linking the IL23R with autoimmunity, our findings re-emphasize the role of IL-23 and therefore have important implications for the development of new therapies."}
{"STANDARD_NAME":"GSE23505_UNTREATED_VS_4DAY_IL6_IL1_TGFB_TREATED_CD4_TCELL_DN","SYSTEMATIC_NAME":"M7868","ORGANISM":"Mus musculus","PMID":"20962846","AUTHORS":"Ghoreschi K,Laurence A,Yang XP,Tato CM,McGeachy MJ,Konkel JE,Ramos HL,Wei L,Davidson TS,Bouladoux N,Grainger JR,Chen Q,Kanno Y,Watford WT,Sun HW,Eberl G,Shevach EM,Belkaid Y,Cua DJ,Chen W,O'Shea JJ","GEOID":"GSE23505","EXACT_SOURCE":"GSE23505_2886_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD4 [GeneID=920] T cells: untreated versus IL6 and TGFB1 [GeneID=3569;7040].","DESCRIPTION_FULL":"CD4+ T cells that selectively produce interleukin (IL)-17, are critical for host defense and autoimmunity1-4. Crucial for T helper17 (Th17) cells in vivo5,6, IL-23 has been thought to be incapable of driving initial differentiation. Rather, IL-6 and transforming growth factor (TGF)-β1 have been argued to be the factors responsible for initiating specification7-10. Herein, we show that Th17 differentiation occurs in the absence of TGF-β signaling. Neither IL-6 nor IL-23 alone efficiently generated Th17 cells; however, these cytokines in combination with IL-1β effectively induced IL-17 production in naïve precursors, independently of TGF-β. Epigenetic modification of the Il17a/Il17f and Rorc promoters proceeded without TGF-β1, allowing the generation of cells that co-expressed Rorγt and T-bet. T-bet+Rorγt+ Th17 cells are generated in vivo during experimental allergic encephalomyelitis (EAE), and adoptively transferred Th17 cells generated with IL-23 in the absence of TGF-β1 were more pathogenic in this experimental disease. These data suggest a new model for Th17 differentiation. Consistent with genetic data linking the IL23R with autoimmunity, our findings re-emphasize the role of IL-23 and therefore have important implications for the development of new therapies."}
{"STANDARD_NAME":"GSE23505_IL6_IL1_VS_IL6_IL1_IL23_TREATED_CD4_TCELL_UP","SYSTEMATIC_NAME":"M7869","ORGANISM":"Mus musculus","PMID":"20962846","AUTHORS":"Ghoreschi K,Laurence A,Yang XP,Tato CM,McGeachy MJ,Konkel JE,Ramos HL,Wei L,Davidson TS,Bouladoux N,Grainger JR,Chen Q,Kanno Y,Watford WT,Sun HW,Eberl G,Shevach EM,Belkaid Y,Cua DJ,Chen W,O'Shea JJ","GEOID":"GSE23505","EXACT_SOURCE":"GSE23505_2887_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells treated with IL1B and IL6 [GeneID=3553;3569] versus those also treated with IL-23.","DESCRIPTION_FULL":"CD4+ T cells that selectively produce interleukin (IL)-17, are critical for host defense and autoimmunity1-4. Crucial for T helper17 (Th17) cells in vivo5,6, IL-23 has been thought to be incapable of driving initial differentiation. Rather, IL-6 and transforming growth factor (TGF)-β1 have been argued to be the factors responsible for initiating specification7-10. Herein, we show that Th17 differentiation occurs in the absence of TGF-β signaling. Neither IL-6 nor IL-23 alone efficiently generated Th17 cells; however, these cytokines in combination with IL-1β effectively induced IL-17 production in naïve precursors, independently of TGF-β. Epigenetic modification of the Il17a/Il17f and Rorc promoters proceeded without TGF-β1, allowing the generation of cells that co-expressed Rorγt and T-bet. T-bet+Rorγt+ Th17 cells are generated in vivo during experimental allergic encephalomyelitis (EAE), and adoptively transferred Th17 cells generated with IL-23 in the absence of TGF-β1 were more pathogenic in this experimental disease. These data suggest a new model for Th17 differentiation. Consistent with genetic data linking the IL23R with autoimmunity, our findings re-emphasize the role of IL-23 and therefore have important implications for the development of new therapies."}
{"STANDARD_NAME":"GSE23505_IL6_IL1_VS_IL6_IL1_TGFB_TREATED_CD4_TCELL_UP","SYSTEMATIC_NAME":"M7872","ORGANISM":"Mus musculus","PMID":"20962846","AUTHORS":"Ghoreschi K,Laurence A,Yang XP,Tato CM,McGeachy MJ,Konkel JE,Ramos HL,Wei L,Davidson TS,Bouladoux N,Grainger JR,Chen Q,Kanno Y,Watford WT,Sun HW,Eberl G,Shevach EM,Belkaid Y,Cua DJ,Chen W,O'Shea JJ","GEOID":"GSE23505","EXACT_SOURCE":"GSE23505_2888_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD4 [GeneID=920] T cells treated with IL1B and IL6 [GeneID=3553;3569] versus those also treated with TGFB1 [GeneID=7040].","DESCRIPTION_FULL":"CD4+ T cells that selectively produce interleukin (IL)-17, are critical for host defense and autoimmunity1-4. Crucial for T helper17 (Th17) cells in vivo5,6, IL-23 has been thought to be incapable of driving initial differentiation. Rather, IL-6 and transforming growth factor (TGF)-β1 have been argued to be the factors responsible for initiating specification7-10. Herein, we show that Th17 differentiation occurs in the absence of TGF-β signaling. Neither IL-6 nor IL-23 alone efficiently generated Th17 cells; however, these cytokines in combination with IL-1β effectively induced IL-17 production in naïve precursors, independently of TGF-β. Epigenetic modification of the Il17a/Il17f and Rorc promoters proceeded without TGF-β1, allowing the generation of cells that co-expressed Rorγt and T-bet. T-bet+Rorγt+ Th17 cells are generated in vivo during experimental allergic encephalomyelitis (EAE), and adoptively transferred Th17 cells generated with IL-23 in the absence of TGF-β1 were more pathogenic in this experimental disease. These data suggest a new model for Th17 differentiation. Consistent with genetic data linking the IL23R with autoimmunity, our findings re-emphasize the role of IL-23 and therefore have important implications for the development of new therapies."}
{"STANDARD_NAME":"GSE24492_LYVE_NEG_VS_POS_MACROPHAGE_DN","SYSTEMATIC_NAME":"M7873","ORGANISM":"Mus musculus","PMID":"20978081","AUTHORS":"Gordon EJ,Rao S,Pollard JW,Nutt SL,Lang RA,Harvey NL","GEOID":"GSE24492","EXACT_SOURCE":"GSE24492_3196_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages: LYVE1+ [GeneID=10894] versus LYVE1- [GeneID=10894].","DESCRIPTION_FULL":"LYVE-1-positive macrophages were observed to be closely spatially associated with the developing lymphatic vasculature. The role of this population of macrophages in the embryo is uncharacterised. We used microarray analyses to investigate which genes are differentially regulated between LYVE-1-positive and LYVE-1-negative macrophages"}
{"STANDARD_NAME":"GSE24492_LYVE_NEG_VS_POS_MACROPHAGE_UP","SYSTEMATIC_NAME":"M7875","ORGANISM":"Mus musculus","PMID":"20978081","AUTHORS":"Gordon EJ,Rao S,Pollard JW,Nutt SL,Lang RA,Harvey NL","GEOID":"GSE24492","EXACT_SOURCE":"GSE24492_3196_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages: LYVE1+ [GeneID=10894] versus LYVE1- [GeneID=10894].","DESCRIPTION_FULL":"LYVE-1-positive macrophages were observed to be closely spatially associated with the developing lymphatic vasculature. The role of this population of macrophages in the embryo is uncharacterised. We used microarray analyses to investigate which genes are differentially regulated between LYVE-1-positive and LYVE-1-negative macrophages"}
{"STANDARD_NAME":"GSE23925_LIGHT_ZONE_VS_DARK_ZONE_BCELL_UP","SYSTEMATIC_NAME":"M7877","ORGANISM":"Mus musculus","PMID":"21074050","AUTHORS":"Victora GD,Schwickert TA,Fooksman DR,Kamphorst AO,Meyer-Hermann M,Dustin ML,Nussenzweig MC","GEOID":"GSE23925","EXACT_SOURCE":"GSE23925_2253_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in B cells: light versus dark zone.","DESCRIPTION_FULL":"Microarrays of gene expression in mouse germinal center B cells photoactivated in the light zone or dark zone, and of naïve cells for comparison. We used microarray data to identify genes differentially expressed by B cells in the light and dark zones of the germinal center."}
{"STANDARD_NAME":"GSE23925_LIGHT_ZONE_VS_DARK_ZONE_BCELL_DN","SYSTEMATIC_NAME":"M7878","ORGANISM":"Mus musculus","PMID":"21074050","AUTHORS":"Victora GD,Schwickert TA,Fooksman DR,Kamphorst AO,Meyer-Hermann M,Dustin ML,Nussenzweig MC","GEOID":"GSE23925","EXACT_SOURCE":"GSE23925_2253_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in B cells: light versus dark zone.","DESCRIPTION_FULL":"Microarrays of gene expression in mouse germinal center B cells photoactivated in the light zone or dark zone, and of naïve cells for comparison. We used microarray data to identify genes differentially expressed by B cells in the light and dark zones of the germinal center."}
{"STANDARD_NAME":"GSE23925_DARK_ZONE_VS_NAIVE_BCELL_UP","SYSTEMATIC_NAME":"M7879","ORGANISM":"Mus musculus","PMID":"21074050","AUTHORS":"Victora GD,Schwickert TA,Fooksman DR,Kamphorst AO,Meyer-Hermann M,Dustin ML,Nussenzweig MC","GEOID":"GSE23925","EXACT_SOURCE":"GSE23925_2255_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in B cells: dark zone versus naïve.","DESCRIPTION_FULL":"Microarrays of gene expression in mouse germinal center B cells photoactivated in the light zone or dark zone, and of naïve cells for comparison. We used microarray data to identify genes differentially expressed by B cells in the light and dark zones of the germinal center."}
{"STANDARD_NAME":"GSE23925_DARK_ZONE_VS_NAIVE_BCELL_DN","SYSTEMATIC_NAME":"M7881","ORGANISM":"Mus musculus","PMID":"21074050","AUTHORS":"Victora GD,Schwickert TA,Fooksman DR,Kamphorst AO,Meyer-Hermann M,Dustin ML,Nussenzweig MC","GEOID":"GSE23925","EXACT_SOURCE":"GSE23925_2255_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in B cells: dark zone versus naïve.","DESCRIPTION_FULL":"Microarrays of gene expression in mouse germinal center B cells photoactivated in the light zone or dark zone, and of naïve cells for comparison. We used microarray data to identify genes differentially expressed by B cells in the light and dark zones of the germinal center."}
{"STANDARD_NAME":"GSE23925_LIGHT_ZONE_VS_NAIVE_BCELL_DN","SYSTEMATIC_NAME":"M7884","ORGANISM":"Mus musculus","PMID":"21074050","AUTHORS":"Victora GD,Schwickert TA,Fooksman DR,Kamphorst AO,Meyer-Hermann M,Dustin ML,Nussenzweig MC","GEOID":"GSE23925","EXACT_SOURCE":"GSE23925_2254_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in B cells: light zone versus naïve.","DESCRIPTION_FULL":"Microarrays of gene expression in mouse germinal center B cells photoactivated in the light zone or dark zone, and of naïve cells for comparison. We used microarray data to identify genes differentially expressed by B cells in the light and dark zones of the germinal center."}
{"STANDARD_NAME":"GSE23925_LIGHT_ZONE_VS_NAIVE_BCELL_UP","SYSTEMATIC_NAME":"M7885","ORGANISM":"Mus musculus","PMID":"21074050","AUTHORS":"Victora GD,Schwickert TA,Fooksman DR,Kamphorst AO,Meyer-Hermann M,Dustin ML,Nussenzweig MC","GEOID":"GSE23925","EXACT_SOURCE":"GSE23925_2254_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in B cells: light zone versus naïve.","DESCRIPTION_FULL":"Microarrays of gene expression in mouse germinal center B cells photoactivated in the light zone or dark zone, and of naïve cells for comparison. We used microarray data to identify genes differentially expressed by B cells in the light and dark zones of the germinal center."}
{"STANDARD_NAME":"GSE16385_MONOCYTE_VS_12H_ROSIGLITAZONE_TREATED_MACROPHAGE_DN","SYSTEMATIC_NAME":"M7886","ORGANISM":"Homo sapiens","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE16385","EXACT_SOURCE":"GSE16385_2266_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in monocytes (12h) versus macrophages (12h) treated with rosiglitazone [PubChem=77999].","DESCRIPTION_FULL":"Human CD14 positive monocytes were purified from healthy volunteers’ blood and cultured in vitro for 4, 12, 24, 72 hours. While culturing, macrophages were activated alternatively with interleukin-4 (IL-4 100 ng/ml) or classically with interferon-gamma (IFNg 100 ng/ml)+tumor necrosis factor (TNF 50 ng/ml) or left without activation. Simultaneously, macrophages were also treated with vehicle (DMSO:ethanol) or 1mM synthetic PPARg agonist, Rosiglitazone. We used Affymetrix microarrays (U133Plus 2.0) to analyze activation and PPARg-induced gene expression changes."}
{"STANDARD_NAME":"GSE16385_UNTREATED_VS_12H_ROSIGLITAZONE_IFNG_TNF_TREATED_MACROPHAGE_UP","SYSTEMATIC_NAME":"M7889","ORGANISM":"Homo sapiens","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE16385","EXACT_SOURCE":"GSE16385_2267_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages (12h): control versus IFNG, TNF [GeneID=3458;7124] and rosiglitazone [PubChem=77999].","DESCRIPTION_FULL":"Human CD14 positive monocytes were purified from healthy volunteers’ blood and cultured in vitro for 4, 12, 24, 72 hours. While culturing, macrophages were activated alternatively with interleukin-4 (IL-4 100 ng/ml) or classically with interferon-gamma (IFNg 100 ng/ml)+tumor necrosis factor (TNF 50 ng/ml) or left without activation. Simultaneously, macrophages were also treated with vehicle (DMSO:ethanol) or 1mM synthetic PPARg agonist, Rosiglitazone. We used Affymetrix microarrays (U133Plus 2.0) to analyze activation and PPARg-induced gene expression changes."}
{"STANDARD_NAME":"GSE16385_UNTREATED_VS_12H_ROSIGLITAZONE_IFNG_TNF_TREATED_MACROPHAGE_DN","SYSTEMATIC_NAME":"M7891","ORGANISM":"Homo sapiens","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE16385","EXACT_SOURCE":"GSE16385_2267_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages (12h): control versus IFNG, TNF [GeneID=3458;7124] and rosiglitazone [PubChem=77999].","DESCRIPTION_FULL":"Human CD14 positive monocytes were purified from healthy volunteers’ blood and cultured in vitro for 4, 12, 24, 72 hours. While culturing, macrophages were activated alternatively with interleukin-4 (IL-4 100 ng/ml) or classically with interferon-gamma (IFNg 100 ng/ml)+tumor necrosis factor (TNF 50 ng/ml) or left without activation. Simultaneously, macrophages were also treated with vehicle (DMSO:ethanol) or 1mM synthetic PPARg agonist, Rosiglitazone. We used Affymetrix microarrays (U133Plus 2.0) to analyze activation and PPARg-induced gene expression changes."}
{"STANDARD_NAME":"GSE16385_ROSIGLITAZONE_IFNG_TNF_VS_IL4_STIM_MACROPHAGE_UP","SYSTEMATIC_NAME":"M7892","ORGANISM":"Homo sapiens","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE16385","EXACT_SOURCE":"GSE16385_2274_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages (12h): IFNG, TNF [GeneID=3458;7124] and rosiglitazone [PubChem=77999] versus IL4 [GeneID=3565].","DESCRIPTION_FULL":"Human CD14 positive monocytes were purified from healthy volunteers’ blood and cultured in vitro for 4, 12, 24, 72 hours. While culturing, macrophages were activated alternatively with interleukin-4 (IL-4 100 ng/ml) or classically with interferon-gamma (IFNg 100 ng/ml)+tumor necrosis factor (TNF 50 ng/ml) or left without activation. Simultaneously, macrophages were also treated with vehicle (DMSO:ethanol) or 1mM synthetic PPARg agonist, Rosiglitazone. We used Affymetrix microarrays (U133Plus 2.0) to analyze activation and PPARg-induced gene expression changes."}
{"STANDARD_NAME":"GSE16385_MONOCYTE_VS_MACROPHAGE_UP","SYSTEMATIC_NAME":"M7893","ORGANISM":"Homo sapiens","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE16385","EXACT_SOURCE":"GSE16385_2261_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in monocytes versus macrophages.","DESCRIPTION_FULL":"Human CD14 positive monocytes were purified from healthy volunteers’ blood and cultured in vitro for 4, 12, 24, 72 hours. While culturing, macrophages were activated alternatively with interleukin-4 (IL-4 100 ng/ml) or classically with interferon-gamma (IFNg 100 ng/ml)+tumor necrosis factor (TNF 50 ng/ml) or left without activation. Simultaneously, macrophages were also treated with vehicle (DMSO:ethanol) or 1mM synthetic PPARg agonist, Rosiglitazone. We used Affymetrix microarrays (U133Plus 2.0) to analyze activation and PPARg-induced gene expression changes."}
{"STANDARD_NAME":"GSE16385_ROSIGLITAZONE_VS_UNTREATED_IFNG_TNF_STIM_MACROPHAGE_UP","SYSTEMATIC_NAME":"M7894","ORGANISM":"Homo sapiens","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE16385","EXACT_SOURCE":"GSE16385_2273_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages (12h): IFNG, TNF [GeneID=3458;7124] and rosiglitazone [PubChem=77999] versus IFNG and TNF [GeneID=3458;7124].","DESCRIPTION_FULL":"Human CD14 positive monocytes were purified from healthy volunteers’ blood and cultured in vitro for 4, 12, 24, 72 hours. While culturing, macrophages were activated alternatively with interleukin-4 (IL-4 100 ng/ml) or classically with interferon-gamma (IFNg 100 ng/ml)+tumor necrosis factor (TNF 50 ng/ml) or left without activation. Simultaneously, macrophages were also treated with vehicle (DMSO:ethanol) or 1mM synthetic PPARg agonist, Rosiglitazone. We used Affymetrix microarrays (U133Plus 2.0) to analyze activation and PPARg-induced gene expression changes."}
{"STANDARD_NAME":"GSE16385_ROSIGLITAZONE_VS_UNTREATED_IFNG_TNF_STIM_MACROPHAGE_DN","SYSTEMATIC_NAME":"M7896","ORGANISM":"Homo sapiens","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE16385","EXACT_SOURCE":"GSE16385_2273_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages (12h): IFNG, TNF [GeneID=3458;7124] and rosiglitazone [PubChem=77999] versus IFNG and TNF [GeneID=3458;7124].","DESCRIPTION_FULL":"Human CD14 positive monocytes were purified from healthy volunteers’ blood and cultured in vitro for 4, 12, 24, 72 hours. While culturing, macrophages were activated alternatively with interleukin-4 (IL-4 100 ng/ml) or classically with interferon-gamma (IFNg 100 ng/ml)+tumor necrosis factor (TNF 50 ng/ml) or left without activation. Simultaneously, macrophages were also treated with vehicle (DMSO:ethanol) or 1mM synthetic PPARg agonist, Rosiglitazone. We used Affymetrix microarrays (U133Plus 2.0) to analyze activation and PPARg-induced gene expression changes."}
{"STANDARD_NAME":"GSE16385_MONOCYTE_VS_12H_ROSIGLITAZONE_IL4_TREATED_MACROPHAGE_UP","SYSTEMATIC_NAME":"M7898","ORGANISM":"Homo sapiens","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE16385","EXACT_SOURCE":"GSE16385_2263_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in monocytes (12h) versus macrophages (12h) treated with IL4 [GeneID=3565] and rosiglitazone [PubChem=77999].","DESCRIPTION_FULL":"Human CD14 positive monocytes were purified from healthy volunteers’ blood and cultured in vitro for 4, 12, 24, 72 hours. While culturing, macrophages were activated alternatively with interleukin-4 (IL-4 100 ng/ml) or classically with interferon-gamma (IFNg 100 ng/ml)+tumor necrosis factor (TNF 50 ng/ml) or left without activation. Simultaneously, macrophages were also treated with vehicle (DMSO:ethanol) or 1mM synthetic PPARg agonist, Rosiglitazone. We used Affymetrix microarrays (U133Plus 2.0) to analyze activation and PPARg-induced gene expression changes."}
{"STANDARD_NAME":"GSE16385_MONOCYTE_VS_12H_ROSIGLITAZONE_IL4_TREATED_MACROPHAGE_DN","SYSTEMATIC_NAME":"M7900","ORGANISM":"Homo sapiens","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE16385","EXACT_SOURCE":"GSE16385_2263_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in monocytes (12h) versus macrophages (12h) treated with IL4 [GeneID=3565] and rosiglitazone [PubChem=77999].","DESCRIPTION_FULL":"Human CD14 positive monocytes were purified from healthy volunteers’ blood and cultured in vitro for 4, 12, 24, 72 hours. While culturing, macrophages were activated alternatively with interleukin-4 (IL-4 100 ng/ml) or classically with interferon-gamma (IFNg 100 ng/ml)+tumor necrosis factor (TNF 50 ng/ml) or left without activation. Simultaneously, macrophages were also treated with vehicle (DMSO:ethanol) or 1mM synthetic PPARg agonist, Rosiglitazone. We used Affymetrix microarrays (U133Plus 2.0) to analyze activation and PPARg-induced gene expression changes."}
{"STANDARD_NAME":"GSE16385_MONOCYTE_VS_MACROPHAGE_DN","SYSTEMATIC_NAME":"M7901","ORGANISM":"Homo sapiens","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE16385","EXACT_SOURCE":"GSE16385_2261_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in monocytes versus macrophages.","DESCRIPTION_FULL":"Human CD14 positive monocytes were purified from healthy volunteers’ blood and cultured in vitro for 4, 12, 24, 72 hours. While culturing, macrophages were activated alternatively with interleukin-4 (IL-4 100 ng/ml) or classically with interferon-gamma (IFNg 100 ng/ml)+tumor necrosis factor (TNF 50 ng/ml) or left without activation. Simultaneously, macrophages were also treated with vehicle (DMSO:ethanol) or 1mM synthetic PPARg agonist, Rosiglitazone. We used Affymetrix microarrays (U133Plus 2.0) to analyze activation and PPARg-induced gene expression changes."}
{"STANDARD_NAME":"GSE16385_MONOCYTE_VS_12H_ROSIGLITAZONE_IFNG_TNF_TREATED_MACROPHAGE_UP","SYSTEMATIC_NAME":"M7902","ORGANISM":"Homo sapiens","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE16385","EXACT_SOURCE":"GSE16385_2262_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in monocytes (12h) versus macrophages (12h) treated with IFNG, TNF [GeneID=3458;7124] and rosiglitazone [PubChem=77999].","DESCRIPTION_FULL":"Human CD14 positive monocytes were purified from healthy volunteers’ blood and cultured in vitro for 4, 12, 24, 72 hours. While culturing, macrophages were activated alternatively with interleukin-4 (IL-4 100 ng/ml) or classically with interferon-gamma (IFNg 100 ng/ml)+tumor necrosis factor (TNF 50 ng/ml) or left without activation. Simultaneously, macrophages were also treated with vehicle (DMSO:ethanol) or 1mM synthetic PPARg agonist, Rosiglitazone. We used Affymetrix microarrays (U133Plus 2.0) to analyze activation and PPARg-induced gene expression changes."}
{"STANDARD_NAME":"GSE16385_MONOCYTE_VS_12H_IL4_TREATED_MACROPHAGE_UP","SYSTEMATIC_NAME":"M7903","ORGANISM":"Homo sapiens","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE16385","EXACT_SOURCE":"GSE16385_2265_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in monocytes (12h) versus macrophages (12h) treated with IL4 [GeneID=3565].","DESCRIPTION_FULL":"Human CD14 positive monocytes were purified from healthy volunteers’ blood and cultured in vitro for 4, 12, 24, 72 hours. While culturing, macrophages were activated alternatively with interleukin-4 (IL-4 100 ng/ml) or classically with interferon-gamma (IFNg 100 ng/ml)+tumor necrosis factor (TNF 50 ng/ml) or left without activation. Simultaneously, macrophages were also treated with vehicle (DMSO:ethanol) or 1mM synthetic PPARg agonist, Rosiglitazone. We used Affymetrix microarrays (U133Plus 2.0) to analyze activation and PPARg-induced gene expression changes."}
{"STANDARD_NAME":"GSE16385_MONOCYTE_VS_12H_IL4_TREATED_MACROPHAGE_DN","SYSTEMATIC_NAME":"M7904","ORGANISM":"Homo sapiens","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE16385","EXACT_SOURCE":"GSE16385_2265_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in monocytes (12h) versus macrophages (12h) treated with IL4 [GeneID=3565].","DESCRIPTION_FULL":"Human CD14 positive monocytes were purified from healthy volunteers’ blood and cultured in vitro for 4, 12, 24, 72 hours. While culturing, macrophages were activated alternatively with interleukin-4 (IL-4 100 ng/ml) or classically with interferon-gamma (IFNg 100 ng/ml)+tumor necrosis factor (TNF 50 ng/ml) or left without activation. Simultaneously, macrophages were also treated with vehicle (DMSO:ethanol) or 1mM synthetic PPARg agonist, Rosiglitazone. We used Affymetrix microarrays (U133Plus 2.0) to analyze activation and PPARg-induced gene expression changes."}
{"STANDARD_NAME":"GSE16385_MONOCYTE_VS_12H_ROSIGLITAZONE_TREATED_MACROPHAGE_UP","SYSTEMATIC_NAME":"M7905","ORGANISM":"Homo sapiens","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE16385","EXACT_SOURCE":"GSE16385_2266_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in monocytes (12h) versus macrophages (12h) treated with rosiglitazone [PubChem=77999].","DESCRIPTION_FULL":"Human CD14 positive monocytes were purified from healthy volunteers’ blood and cultured in vitro for 4, 12, 24, 72 hours. While culturing, macrophages were activated alternatively with interleukin-4 (IL-4 100 ng/ml) or classically with interferon-gamma (IFNg 100 ng/ml)+tumor necrosis factor (TNF 50 ng/ml) or left without activation. Simultaneously, macrophages were also treated with vehicle (DMSO:ethanol) or 1mM synthetic PPARg agonist, Rosiglitazone. We used Affymetrix microarrays (U133Plus 2.0) to analyze activation and PPARg-induced gene expression changes."}
{"STANDARD_NAME":"GSE25123_CTRL_VS_ROSIGLITAZONE_STIM_MACROPHAGE_UP","SYSTEMATIC_NAME":"M7906","ORGANISM":"Mus musculus","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE25123","EXACT_SOURCE":"GSE25123_2325_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in wildtype bone marrow-derived macrophages: control versus treated with rosiglitazone [PubChem=77999].","DESCRIPTION_FULL":"Conditional macrophage-specific PPARg knockout mice were generated on C57Bl/6 background by breeding PPARg fl/- (one allele is floxed, the other is null) and lysozyme Cre transgenic mice. PPARg and IL-4 signaling was analyzed on bone marrow-derived macrophages. Bone marrow of 3 mice per group was isolated and differentiated to macrophages with M-CSF (20 ng/ml). 20 ng/ml IL-4 was used to induce alternative macrophage activation and 1 uM Rosiglitazone (RSG) was used to activate PPARg. From each mouse 4 samples were generated: 1. M-CSF, 2. M-CSF+RSG, 3. IL-4 and 4. IL-4+RSG. All compounds were added throughout the whole differentiation process, and fresh media was added every other day. Control cells were treated with vehicle (DMSO:ethanol). After 10 days, RNA was isolated and gene expression profiles were analyzed using Mouse Genome 430 2.0 microarrays from Affymetrix."}
{"STANDARD_NAME":"GSE25123_CTRL_VS_ROSIGLITAZONE_STIM_MACROPHAGE_DN","SYSTEMATIC_NAME":"M7907","ORGANISM":"Mus musculus","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE25123","EXACT_SOURCE":"GSE25123_2325_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in wildtype bone marrow-derived macrophages: control versus treated with rosiglitazone [PubChem=77999].","DESCRIPTION_FULL":"Conditional macrophage-specific PPARg knockout mice were generated on C57Bl/6 background by breeding PPARg fl/- (one allele is floxed, the other is null) and lysozyme Cre transgenic mice. PPARg and IL-4 signaling was analyzed on bone marrow-derived macrophages. Bone marrow of 3 mice per group was isolated and differentiated to macrophages with M-CSF (20 ng/ml). 20 ng/ml IL-4 was used to induce alternative macrophage activation and 1 uM Rosiglitazone (RSG) was used to activate PPARg. From each mouse 4 samples were generated: 1. M-CSF, 2. M-CSF+RSG, 3. IL-4 and 4. IL-4+RSG. All compounds were added throughout the whole differentiation process, and fresh media was added every other day. Control cells were treated with vehicle (DMSO:ethanol). After 10 days, RNA was isolated and gene expression profiles were analyzed using Mouse Genome 430 2.0 microarrays from Affymetrix."}
{"STANDARD_NAME":"GSE25123_CTRL_VS_IL4_AND_ROSIGLITAZONE_STIM_MACROPHAGE_UP","SYSTEMATIC_NAME":"M7908","ORGANISM":"Mus musculus","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE25123","EXACT_SOURCE":"GSE25123_2326_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in wildtype bone marrow-derived macrophages: control versus IL4 [GeneID=3565] and rosiglitazone [PubChem=77999].","DESCRIPTION_FULL":"Conditional macrophage-specific PPARg knockout mice were generated on C57Bl/6 background by breeding PPARg fl/- (one allele is floxed, the other is null) and lysozyme Cre transgenic mice. PPARg and IL-4 signaling was analyzed on bone marrow-derived macrophages. Bone marrow of 3 mice per group was isolated and differentiated to macrophages with M-CSF (20 ng/ml). 20 ng/ml IL-4 was used to induce alternative macrophage activation and 1 uM Rosiglitazone (RSG) was used to activate PPARg. From each mouse 4 samples were generated: 1. M-CSF, 2. M-CSF+RSG, 3. IL-4 and 4. IL-4+RSG. All compounds were added throughout the whole differentiation process, and fresh media was added every other day. Control cells were treated with vehicle (DMSO:ethanol). After 10 days, RNA was isolated and gene expression profiles were analyzed using Mouse Genome 430 2.0 microarrays from Affymetrix."}
{"STANDARD_NAME":"GSE25123_CTRL_VS_IL4_AND_ROSIGLITAZONE_STIM_MACROPHAGE_DN","SYSTEMATIC_NAME":"M7909","ORGANISM":"Mus musculus","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE25123","EXACT_SOURCE":"GSE25123_2326_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in wildtype bone marrow-derived macrophages: control versus IL4 [GeneID=3565] and rosiglitazone [PubChem=77999].","DESCRIPTION_FULL":"Conditional macrophage-specific PPARg knockout mice were generated on C57Bl/6 background by breeding PPARg fl/- (one allele is floxed, the other is null) and lysozyme Cre transgenic mice. PPARg and IL-4 signaling was analyzed on bone marrow-derived macrophages. Bone marrow of 3 mice per group was isolated and differentiated to macrophages with M-CSF (20 ng/ml). 20 ng/ml IL-4 was used to induce alternative macrophage activation and 1 uM Rosiglitazone (RSG) was used to activate PPARg. From each mouse 4 samples were generated: 1. M-CSF, 2. M-CSF+RSG, 3. IL-4 and 4. IL-4+RSG. All compounds were added throughout the whole differentiation process, and fresh media was added every other day. Control cells were treated with vehicle (DMSO:ethanol). After 10 days, RNA was isolated and gene expression profiles were analyzed using Mouse Genome 430 2.0 microarrays from Affymetrix."}
{"STANDARD_NAME":"GSE16385_UNTREATED_VS_12H_ROSIGLITAZONE_IL4_TREATED_MACROPHAGE_UP","SYSTEMATIC_NAME":"M7911","ORGANISM":"Homo sapiens","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE16385","EXACT_SOURCE":"GSE16385_2268_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages (12h): control versus rosiglitazone [PubChem=77999] and IL4 [GeneID=3565].","DESCRIPTION_FULL":"Human CD14 positive monocytes were purified from healthy volunteers’ blood and cultured in vitro for 4, 12, 24, 72 hours. While culturing, macrophages were activated alternatively with interleukin-4 (IL-4 100 ng/ml) or classically with interferon-gamma (IFNg 100 ng/ml)+tumor necrosis factor (TNF 50 ng/ml) or left without activation. Simultaneously, macrophages were also treated with vehicle (DMSO:ethanol) or 1mM synthetic PPARg agonist, Rosiglitazone. We used Affymetrix microarrays (U133Plus 2.0) to analyze activation and PPARg-induced gene expression changes."}
{"STANDARD_NAME":"GSE16385_UNTREATED_VS_12H_ROSIGLITAZONE_IL4_TREATED_MACROPHAGE_DN","SYSTEMATIC_NAME":"M7913","ORGANISM":"Homo sapiens","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE16385","EXACT_SOURCE":"GSE16385_2268_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages (12h): control versus rosiglitazone [PubChem=77999] and IL4 [GeneID=3565].","DESCRIPTION_FULL":"Human CD14 positive monocytes were purified from healthy volunteers’ blood and cultured in vitro for 4, 12, 24, 72 hours. While culturing, macrophages were activated alternatively with interleukin-4 (IL-4 100 ng/ml) or classically with interferon-gamma (IFNg 100 ng/ml)+tumor necrosis factor (TNF 50 ng/ml) or left without activation. Simultaneously, macrophages were also treated with vehicle (DMSO:ethanol) or 1mM synthetic PPARg agonist, Rosiglitazone. We used Affymetrix microarrays (U133Plus 2.0) to analyze activation and PPARg-induced gene expression changes."}
{"STANDARD_NAME":"GSE16385_MONOCYTE_VS_12H_ROSIGLITAZONE_IFNG_TNF_TREATED_MACROPHAGE_DN","SYSTEMATIC_NAME":"M7915","ORGANISM":"Homo sapiens","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE16385","EXACT_SOURCE":"GSE16385_2262_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in monocytes (12h) versus macrophages (12h) treated with IFNG, TNF [GeneID=3458;7124] and rosiglitazone [PubChem=77999].","DESCRIPTION_FULL":"Human CD14 positive monocytes were purified from healthy volunteers’ blood and cultured in vitro for 4, 12, 24, 72 hours. While culturing, macrophages were activated alternatively with interleukin-4 (IL-4 100 ng/ml) or classically with interferon-gamma (IFNg 100 ng/ml)+tumor necrosis factor (TNF 50 ng/ml) or left without activation. Simultaneously, macrophages were also treated with vehicle (DMSO:ethanol) or 1mM synthetic PPARg agonist, Rosiglitazone. We used Affymetrix microarrays (U133Plus 2.0) to analyze activation and PPARg-induced gene expression changes."}
{"STANDARD_NAME":"GSE16386_IL4_VS_IL4_AND_ROSIGLITAZONE_STIM_MACROPHAGE_6H_DN","SYSTEMATIC_NAME":"M7916","ORGANISM":"Homo sapiens","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE16386","EXACT_SOURCE":"GSE16386_2260_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages (6h): IL4 [GeneID=3565] versus IL4 [GeneID=3565] and rosiglitazone [PubChem=77999].","DESCRIPTION_FULL":"Human CD14 positive monocytes were purified from healthy volunteers’ blood and cultured in vitro for 6 hours. While culturing, macrophages were activated alternatively with interleukin-4 (IL-4 100 ng/ml). Simultaneously, macrophages were also treated with vehicle (DMSO:ethanol) or 1uM synthetic PPARg agonist, Rosiglitazone. We used Affymetrix microarrays (U133Plus 2.0) to analyze activation and PPARg-induced gene expression changes."}
{"STANDARD_NAME":"GSE16385_MONOCYTE_VS_12H_IFNG_TNF_TREATED_MACROPHAGE_UP","SYSTEMATIC_NAME":"M7917","ORGANISM":"Homo sapiens","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE16385","EXACT_SOURCE":"GSE16385_2264_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in monocytes (12h) versus macrophages (12h) treated with IFNG and TNF [GeneID=3458;7124].","DESCRIPTION_FULL":"Human CD14 positive monocytes were purified from healthy volunteers’ blood and cultured in vitro for 4, 12, 24, 72 hours. While culturing, macrophages were activated alternatively with interleukin-4 (IL-4 100 ng/ml) or classically with interferon-gamma (IFNg 100 ng/ml)+tumor necrosis factor (TNF 50 ng/ml) or left without activation. Simultaneously, macrophages were also treated with vehicle (DMSO:ethanol) or 1mM synthetic PPARg agonist, Rosiglitazone. We used Affymetrix microarrays (U133Plus 2.0) to analyze activation and PPARg-induced gene expression changes."}
{"STANDARD_NAME":"GSE16385_MONOCYTE_VS_12H_IFNG_TNF_TREATED_MACROPHAGE_DN","SYSTEMATIC_NAME":"M7920","ORGANISM":"Homo sapiens","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE16385","EXACT_SOURCE":"GSE16385_2264_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in monocytes (12h) versus macrophages (12h) treated with IFNG and TNF [GeneID=3458;7124].","DESCRIPTION_FULL":"Human CD14 positive monocytes were purified from healthy volunteers’ blood and cultured in vitro for 4, 12, 24, 72 hours. While culturing, macrophages were activated alternatively with interleukin-4 (IL-4 100 ng/ml) or classically with interferon-gamma (IFNg 100 ng/ml)+tumor necrosis factor (TNF 50 ng/ml) or left without activation. Simultaneously, macrophages were also treated with vehicle (DMSO:ethanol) or 1mM synthetic PPARg agonist, Rosiglitazone. We used Affymetrix microarrays (U133Plus 2.0) to analyze activation and PPARg-induced gene expression changes."}
{"STANDARD_NAME":"GSE25123_WT_VS_PPARG_KO_MACROPHAGE_IL4_AND_ROSIGLITAZONE_STIM_DN","SYSTEMATIC_NAME":"M7921","ORGANISM":"Mus musculus","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE25123","EXACT_SOURCE":"GSE25123_2323_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived macrophages treated with IL4 [GeneID=3565] and rosiglitazone [PubChem=77999]: wildtype versus PPARG [GeneID=5468] knockout.","DESCRIPTION_FULL":"Conditional macrophage-specific PPARg knockout mice were generated on C57Bl/6 background by breeding PPARg fl/- (one allele is floxed, the other is null) and lysozyme Cre transgenic mice. PPARg and IL-4 signaling was analyzed on bone marrow-derived macrophages. Bone marrow of 3 mice per group was isolated and differentiated to macrophages with M-CSF (20 ng/ml). 20 ng/ml IL-4 was used to induce alternative macrophage activation and 1 uM Rosiglitazone (RSG) was used to activate PPARg. From each mouse 4 samples were generated: 1. M-CSF, 2. M-CSF+RSG, 3. IL-4 and 4. IL-4+RSG. All compounds were added throughout the whole differentiation process, and fresh media was added every other day. Control cells were treated with vehicle (DMSO:ethanol). After 10 days, RNA was isolated and gene expression profiles were analyzed using Mouse Genome 430 2.0 microarrays from Affymetrix."}
{"STANDARD_NAME":"GSE25123_CTRL_VS_IL4_STIM_MACROPHAGE_UP","SYSTEMATIC_NAME":"M7922","ORGANISM":"Mus musculus","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE25123","EXACT_SOURCE":"GSE25123_2324_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in wildtype bone marrow-derived macrophages: control versus treated with IL4 [GeneID=3565].","DESCRIPTION_FULL":"Conditional macrophage-specific PPARg knockout mice were generated on C57Bl/6 background by breeding PPARg fl/- (one allele is floxed, the other is null) and lysozyme Cre transgenic mice. PPARg and IL-4 signaling was analyzed on bone marrow-derived macrophages. Bone marrow of 3 mice per group was isolated and differentiated to macrophages with M-CSF (20 ng/ml). 20 ng/ml IL-4 was used to induce alternative macrophage activation and 1 uM Rosiglitazone (RSG) was used to activate PPARg. From each mouse 4 samples were generated: 1. M-CSF, 2. M-CSF+RSG, 3. IL-4 and 4. IL-4+RSG. All compounds were added throughout the whole differentiation process, and fresh media was added every other day. Control cells were treated with vehicle (DMSO:ethanol). After 10 days, RNA was isolated and gene expression profiles were analyzed using Mouse Genome 430 2.0 microarrays from Affymetrix."}
{"STANDARD_NAME":"GSE25123_CTRL_VS_IL4_STIM_MACROPHAGE_DN","SYSTEMATIC_NAME":"M7924","ORGANISM":"Mus musculus","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE25123","EXACT_SOURCE":"GSE25123_2324_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in wildtype bone marrow-derived macrophages: control versus treated with IL4 [GeneID=3565].","DESCRIPTION_FULL":"Conditional macrophage-specific PPARg knockout mice were generated on C57Bl/6 background by breeding PPARg fl/- (one allele is floxed, the other is null) and lysozyme Cre transgenic mice. PPARg and IL-4 signaling was analyzed on bone marrow-derived macrophages. Bone marrow of 3 mice per group was isolated and differentiated to macrophages with M-CSF (20 ng/ml). 20 ng/ml IL-4 was used to induce alternative macrophage activation and 1 uM Rosiglitazone (RSG) was used to activate PPARg. From each mouse 4 samples were generated: 1. M-CSF, 2. M-CSF+RSG, 3. IL-4 and 4. IL-4+RSG. All compounds were added throughout the whole differentiation process, and fresh media was added every other day. Control cells were treated with vehicle (DMSO:ethanol). After 10 days, RNA was isolated and gene expression profiles were analyzed using Mouse Genome 430 2.0 microarrays from Affymetrix."}
{"STANDARD_NAME":"GSE16385_IFNG_TNF_VS_IL4_STIM_MACROPHAGE_ROSIGLITAZONE_TREATED_DN","SYSTEMATIC_NAME":"M7925","ORGANISM":"Homo sapiens","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE16385","EXACT_SOURCE":"GSE16385_2272_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages (12h): IFNG, TNF [GeneID=3458;7124] and rosiglitazone [PubChem=77999] versus rosiglitazone [PubChem=77999] and IL4 [GeneID=3565].","DESCRIPTION_FULL":"Human CD14 positive monocytes were purified from healthy volunteers’ blood and cultured in vitro for 4, 12, 24, 72 hours. While culturing, macrophages were activated alternatively with interleukin-4 (IL-4 100 ng/ml) or classically with interferon-gamma (IFNg 100 ng/ml)+tumor necrosis factor (TNF 50 ng/ml) or left without activation. Simultaneously, macrophages were also treated with vehicle (DMSO:ethanol) or 1mM synthetic PPARg agonist, Rosiglitazone. We used Affymetrix microarrays (U133Plus 2.0) to analyze activation and PPARg-induced gene expression changes."}
{"STANDARD_NAME":"GSE25088_CTRL_VS_IL4_AND_ROSIGLITAZONE_STIM_MACROPHAGE_UP","SYSTEMATIC_NAME":"M7926","ORGANISM":"Mus musculus","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE25088","EXACT_SOURCE":"GSE25088_2292_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in wildtype bone marrow-derived macrophages: control versus treated with IL4 [GeneID=3565] and rosiglitazone [PubChem=77999].","DESCRIPTION_FULL":"C57Bl/6 wild-type and STAT6 KO mice were used to study PPARg and IL-4 signaling. Bone marrow of 3 mice per group was isolated and differentiated to macrophages with M-CSF (20 ng/ml). 20 ng/ml IL-4 was used to induce alternative macrophage activation and 1 uM Rosiglitazone (RSG) was used to activate PPARg. From each mouse 4 samples were generated: 1. M-CSF, 2. M-CSF+RSG, 3. IL-4 and 4. IL-4+RSG. All compounds were added throughout the whole differentiation process, and frech media was added every other day. Control cells were treated with vehicle (DMSO:ethanol). After 10 days, RNA was isolated and gene expression profiles were analyzed using Mouse Genome 430 2.0 microarrays from Affymetrix."}
{"STANDARD_NAME":"GSE25088_CTRL_VS_IL4_AND_ROSIGLITAZONE_STIM_MACROPHAGE_DN","SYSTEMATIC_NAME":"M7929","ORGANISM":"Mus musculus","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE25088","EXACT_SOURCE":"GSE25088_2292_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in wildtype bone marrow-derived macrophages: control versus treated with IL4 [GeneID=3565] and rosiglitazone [PubChem=77999].","DESCRIPTION_FULL":"C57Bl/6 wild-type and STAT6 KO mice were used to study PPARg and IL-4 signaling. Bone marrow of 3 mice per group was isolated and differentiated to macrophages with M-CSF (20 ng/ml). 20 ng/ml IL-4 was used to induce alternative macrophage activation and 1 uM Rosiglitazone (RSG) was used to activate PPARg. From each mouse 4 samples were generated: 1. M-CSF, 2. M-CSF+RSG, 3. IL-4 and 4. IL-4+RSG. All compounds were added throughout the whole differentiation process, and frech media was added every other day. Control cells were treated with vehicle (DMSO:ethanol). After 10 days, RNA was isolated and gene expression profiles were analyzed using Mouse Genome 430 2.0 microarrays from Affymetrix."}
{"STANDARD_NAME":"GSE25088_CTRL_VS_IL4_STIM_STAT6_KO_MACROPHAGE_UP","SYSTEMATIC_NAME":"M7930","ORGANISM":"Mus musculus","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE25088","EXACT_SOURCE":"GSE25088_2293_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived macrophages with STAT6 [GeneID=6778] knockout: control versus treated with IL4 [GeneID=3565].","DESCRIPTION_FULL":"C57Bl/6 wild-type and STAT6 KO mice were used to study PPARg and IL-4 signaling. Bone marrow of 3 mice per group was isolated and differentiated to macrophages with M-CSF (20 ng/ml). 20 ng/ml IL-4 was used to induce alternative macrophage activation and 1 uM Rosiglitazone (RSG) was used to activate PPARg. From each mouse 4 samples were generated: 1. M-CSF, 2. M-CSF+RSG, 3. IL-4 and 4. IL-4+RSG. All compounds were added throughout the whole differentiation process, and frech media was added every other day. Control cells were treated with vehicle (DMSO:ethanol). After 10 days, RNA was isolated and gene expression profiles were analyzed using Mouse Genome 430 2.0 microarrays from Affymetrix."}
{"STANDARD_NAME":"GSE25088_CTRL_VS_IL4_STIM_STAT6_KO_MACROPHAGE_DN","SYSTEMATIC_NAME":"M7931","ORGANISM":"Mus musculus","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE25088","EXACT_SOURCE":"GSE25088_2293_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived macrophages with STAT6 [GeneID=6778] knockout: control versus treated with IL4 [GeneID=3565].","DESCRIPTION_FULL":"C57Bl/6 wild-type and STAT6 KO mice were used to study PPARg and IL-4 signaling. Bone marrow of 3 mice per group was isolated and differentiated to macrophages with M-CSF (20 ng/ml). 20 ng/ml IL-4 was used to induce alternative macrophage activation and 1 uM Rosiglitazone (RSG) was used to activate PPARg. From each mouse 4 samples were generated: 1. M-CSF, 2. M-CSF+RSG, 3. IL-4 and 4. IL-4+RSG. All compounds were added throughout the whole differentiation process, and frech media was added every other day. Control cells were treated with vehicle (DMSO:ethanol). After 10 days, RNA was isolated and gene expression profiles were analyzed using Mouse Genome 430 2.0 microarrays from Affymetrix."}
{"STANDARD_NAME":"GSE25088_CTRL_VS_ROSIGLITAZONE_STIM_STAT6_KO_MACROPHAGE_UP","SYSTEMATIC_NAME":"M7932","ORGANISM":"Mus musculus","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE25088","EXACT_SOURCE":"GSE25088_2294_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived macrophages with STAT6 [GeneID=6778] knockout: control versus treated with rosiglitazone [PubChem=77999].","DESCRIPTION_FULL":"C57Bl/6 wild-type and STAT6 KO mice were used to study PPARg and IL-4 signaling. Bone marrow of 3 mice per group was isolated and differentiated to macrophages with M-CSF (20 ng/ml). 20 ng/ml IL-4 was used to induce alternative macrophage activation and 1 uM Rosiglitazone (RSG) was used to activate PPARg. From each mouse 4 samples were generated: 1. M-CSF, 2. M-CSF+RSG, 3. IL-4 and 4. IL-4+RSG. All compounds were added throughout the whole differentiation process, and frech media was added every other day. Control cells were treated with vehicle (DMSO:ethanol). After 10 days, RNA was isolated and gene expression profiles were analyzed using Mouse Genome 430 2.0 microarrays from Affymetrix."}
{"STANDARD_NAME":"GSE16385_UNTREATED_VS_12H_IFNG_TNF_TREATED_MACROPHAGE_UP","SYSTEMATIC_NAME":"M7935","ORGANISM":"Homo sapiens","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE16385","EXACT_SOURCE":"GSE16385_2269_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages (12h): control versus IFNG and TNF [GeneID=3458;7124].","DESCRIPTION_FULL":"Human CD14 positive monocytes were purified from healthy volunteers’ blood and cultured in vitro for 4, 12, 24, 72 hours. While culturing, macrophages were activated alternatively with interleukin-4 (IL-4 100 ng/ml) or classically with interferon-gamma (IFNg 100 ng/ml)+tumor necrosis factor (TNF 50 ng/ml) or left without activation. Simultaneously, macrophages were also treated with vehicle (DMSO:ethanol) or 1mM synthetic PPARg agonist, Rosiglitazone. We used Affymetrix microarrays (U133Plus 2.0) to analyze activation and PPARg-induced gene expression changes."}
{"STANDARD_NAME":"GSE16385_UNTREATED_VS_12H_IFNG_TNF_TREATED_MACROPHAGE_DN","SYSTEMATIC_NAME":"M7936","ORGANISM":"Homo sapiens","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE16385","EXACT_SOURCE":"GSE16385_2269_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages (12h): control versus IFNG and TNF [GeneID=3458;7124].","DESCRIPTION_FULL":"Human CD14 positive monocytes were purified from healthy volunteers’ blood and cultured in vitro for 4, 12, 24, 72 hours. While culturing, macrophages were activated alternatively with interleukin-4 (IL-4 100 ng/ml) or classically with interferon-gamma (IFNg 100 ng/ml)+tumor necrosis factor (TNF 50 ng/ml) or left without activation. Simultaneously, macrophages were also treated with vehicle (DMSO:ethanol) or 1mM synthetic PPARg agonist, Rosiglitazone. We used Affymetrix microarrays (U133Plus 2.0) to analyze activation and PPARg-induced gene expression changes."}
{"STANDARD_NAME":"GSE25123_WT_VS_PPARG_KO_MACROPHAGE_ROSIGLITAZONE_STIM_DN","SYSTEMATIC_NAME":"M7938","ORGANISM":"Mus musculus","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE25123","EXACT_SOURCE":"GSE25123_2322_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived macrophages treated with rosiglitazone [PubChem=77999]: wildtype versus PPARG [GeneID=5468].","DESCRIPTION_FULL":"Conditional macrophage-specific PPARg knockout mice were generated on C57Bl/6 background by breeding PPARg fl/- (one allele is floxed, the other is null) and lysozyme Cre transgenic mice. PPARg and IL-4 signaling was analyzed on bone marrow-derived macrophages. Bone marrow of 3 mice per group was isolated and differentiated to macrophages with M-CSF (20 ng/ml). 20 ng/ml IL-4 was used to induce alternative macrophage activation and 1 uM Rosiglitazone (RSG) was used to activate PPARg. From each mouse 4 samples were generated: 1. M-CSF, 2. M-CSF+RSG, 3. IL-4 and 4. IL-4+RSG. All compounds were added throughout the whole differentiation process, and fresh media was added every other day. Control cells were treated with vehicle (DMSO:ethanol). After 10 days, RNA was isolated and gene expression profiles were analyzed using Mouse Genome 430 2.0 microarrays from Affymetrix."}
{"STANDARD_NAME":"GSE25123_WT_VS_PPARG_KO_MACROPHAGE_IL4_AND_ROSIGLITAZONE_STIM_UP","SYSTEMATIC_NAME":"M7939","ORGANISM":"Mus musculus","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE25123","EXACT_SOURCE":"GSE25123_2323_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived macrophages treated with IL4 [GeneID=3565] and rosiglitazone [PubChem=77999]: wildtype versus PPARG [GeneID=5468] knockout.","DESCRIPTION_FULL":"Conditional macrophage-specific PPARg knockout mice were generated on C57Bl/6 background by breeding PPARg fl/- (one allele is floxed, the other is null) and lysozyme Cre transgenic mice. PPARg and IL-4 signaling was analyzed on bone marrow-derived macrophages. Bone marrow of 3 mice per group was isolated and differentiated to macrophages with M-CSF (20 ng/ml). 20 ng/ml IL-4 was used to induce alternative macrophage activation and 1 uM Rosiglitazone (RSG) was used to activate PPARg. From each mouse 4 samples were generated: 1. M-CSF, 2. M-CSF+RSG, 3. IL-4 and 4. IL-4+RSG. All compounds were added throughout the whole differentiation process, and fresh media was added every other day. Control cells were treated with vehicle (DMSO:ethanol). After 10 days, RNA was isolated and gene expression profiles were analyzed using Mouse Genome 430 2.0 microarrays from Affymetrix."}
{"STANDARD_NAME":"GSE16385_UNTREATED_VS_12H_ROSIGLITAZONE_TREATED_MACROPHAGE_UP","SYSTEMATIC_NAME":"M7940","ORGANISM":"Homo sapiens","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE16385","EXACT_SOURCE":"GSE16385_2271_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages (12h): control versus rosiglitazone [PubChem=77999].","DESCRIPTION_FULL":"Human CD14 positive monocytes were purified from healthy volunteers’ blood and cultured in vitro for 4, 12, 24, 72 hours. While culturing, macrophages were activated alternatively with interleukin-4 (IL-4 100 ng/ml) or classically with interferon-gamma (IFNg 100 ng/ml)+tumor necrosis factor (TNF 50 ng/ml) or left without activation. Simultaneously, macrophages were also treated with vehicle (DMSO:ethanol) or 1mM synthetic PPARg agonist, Rosiglitazone. We used Affymetrix microarrays (U133Plus 2.0) to analyze activation and PPARg-induced gene expression changes."}
{"STANDARD_NAME":"GSE16385_UNTREATED_VS_12H_ROSIGLITAZONE_TREATED_MACROPHAGE_DN","SYSTEMATIC_NAME":"M7942","ORGANISM":"Homo sapiens","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE16385","EXACT_SOURCE":"GSE16385_2271_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages (12h): control versus rosiglitazone [PubChem=77999].","DESCRIPTION_FULL":"Human CD14 positive monocytes were purified from healthy volunteers’ blood and cultured in vitro for 4, 12, 24, 72 hours. While culturing, macrophages were activated alternatively with interleukin-4 (IL-4 100 ng/ml) or classically with interferon-gamma (IFNg 100 ng/ml)+tumor necrosis factor (TNF 50 ng/ml) or left without activation. Simultaneously, macrophages were also treated with vehicle (DMSO:ethanol) or 1mM synthetic PPARg agonist, Rosiglitazone. We used Affymetrix microarrays (U133Plus 2.0) to analyze activation and PPARg-induced gene expression changes."}
{"STANDARD_NAME":"GSE16385_IFNG_TNF_VS_IL4_STIM_MACROPHAGE_ROSIGLITAZONE_TREATED_UP","SYSTEMATIC_NAME":"M7943","ORGANISM":"Homo sapiens","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE16385","EXACT_SOURCE":"GSE16385_2272_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages (12h): IFNG, TNF [GeneID=3458;7124] and rosiglitazone [PubChem=77999] versus rosiglitazone [PubChem=77999] and IL4 [GeneID=3565].","DESCRIPTION_FULL":"Human CD14 positive monocytes were purified from healthy volunteers’ blood and cultured in vitro for 4, 12, 24, 72 hours. While culturing, macrophages were activated alternatively with interleukin-4 (IL-4 100 ng/ml) or classically with interferon-gamma (IFNg 100 ng/ml)+tumor necrosis factor (TNF 50 ng/ml) or left without activation. Simultaneously, macrophages were also treated with vehicle (DMSO:ethanol) or 1mM synthetic PPARg agonist, Rosiglitazone. We used Affymetrix microarrays (U133Plus 2.0) to analyze activation and PPARg-induced gene expression changes."}
{"STANDARD_NAME":"GSE25088_IL4_VS_IL4_AND_ROSIGLITAZONE_STIM_STAT6_KO_MACROPHAGE_DAY10_UP","SYSTEMATIC_NAME":"M7944","ORGANISM":"Mus musculus","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE25088","EXACT_SOURCE":"GSE25088_2301_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived macrophages with STAT6 [GeneID=6778] knockout treated with IL4 [GeneID=3565]: control versus rosiglitazone [PubChem=77999].","DESCRIPTION_FULL":"C57Bl/6 wild-type and STAT6 KO mice were used to study PPARg and IL-4 signaling. Bone marrow of 3 mice per group was isolated and differentiated to macrophages with M-CSF (20 ng/ml). 20 ng/ml IL-4 was used to induce alternative macrophage activation and 1 uM Rosiglitazone (RSG) was used to activate PPARg. From each mouse 4 samples were generated: 1. M-CSF, 2. M-CSF+RSG, 3. IL-4 and 4. IL-4+RSG. All compounds were added throughout the whole differentiation process, and frech media was added every other day. Control cells were treated with vehicle (DMSO:ethanol). After 10 days, RNA was isolated and gene expression profiles were analyzed using Mouse Genome 430 2.0 microarrays from Affymetrix."}
{"STANDARD_NAME":"GSE25088_IL4_VS_IL4_AND_ROSIGLITAZONE_STIM_STAT6_KO_MACROPHAGE_DAY10_DN","SYSTEMATIC_NAME":"M7947","ORGANISM":"Mus musculus","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE25088","EXACT_SOURCE":"GSE25088_2301_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived macrophages with STAT6 [GeneID=6778] knockout treated with IL4 [GeneID=3565]: control versus rosiglitazone [PubChem=77999].","DESCRIPTION_FULL":"C57Bl/6 wild-type and STAT6 KO mice were used to study PPARg and IL-4 signaling. Bone marrow of 3 mice per group was isolated and differentiated to macrophages with M-CSF (20 ng/ml). 20 ng/ml IL-4 was used to induce alternative macrophage activation and 1 uM Rosiglitazone (RSG) was used to activate PPARg. From each mouse 4 samples were generated: 1. M-CSF, 2. M-CSF+RSG, 3. IL-4 and 4. IL-4+RSG. All compounds were added throughout the whole differentiation process, and frech media was added every other day. Control cells were treated with vehicle (DMSO:ethanol). After 10 days, RNA was isolated and gene expression profiles were analyzed using Mouse Genome 430 2.0 microarrays from Affymetrix."}
{"STANDARD_NAME":"GSE25088_ROSIGLITAZONE_VS_IL4_AND_ROSIGLITAZONE_STIM_STAT6_KO_MACROPHAGE_DAY10_UP","SYSTEMATIC_NAME":"M7948","ORGANISM":"Mus musculus","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE25088","EXACT_SOURCE":"GSE25088_2302_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived macrophages with STAT6 [GeneID=6778] knockout treated with rosiglitazone [PubChem=77999]: control versus IL4 [GeneID=3565].","DESCRIPTION_FULL":"C57Bl/6 wild-type and STAT6 KO mice were used to study PPARg and IL-4 signaling. Bone marrow of 3 mice per group was isolated and differentiated to macrophages with M-CSF (20 ng/ml). 20 ng/ml IL-4 was used to induce alternative macrophage activation and 1 uM Rosiglitazone (RSG) was used to activate PPARg. From each mouse 4 samples were generated: 1. M-CSF, 2. M-CSF+RSG, 3. IL-4 and 4. IL-4+RSG. All compounds were added throughout the whole differentiation process, and frech media was added every other day. Control cells were treated with vehicle (DMSO:ethanol). After 10 days, RNA was isolated and gene expression profiles were analyzed using Mouse Genome 430 2.0 microarrays from Affymetrix."}
{"STANDARD_NAME":"GSE25088_ROSIGLITAZONE_VS_IL4_AND_ROSIGLITAZONE_STIM_STAT6_KO_MACROPHAGE_DAY10_DN","SYSTEMATIC_NAME":"M7950","ORGANISM":"Mus musculus","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE25088","EXACT_SOURCE":"GSE25088_2302_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived macrophages with STAT6 [GeneID=6778] knockout treated with rosiglitazone [PubChem=77999]: control versus IL4 [GeneID=3565].","DESCRIPTION_FULL":"C57Bl/6 wild-type and STAT6 KO mice were used to study PPARg and IL-4 signaling. Bone marrow of 3 mice per group was isolated and differentiated to macrophages with M-CSF (20 ng/ml). 20 ng/ml IL-4 was used to induce alternative macrophage activation and 1 uM Rosiglitazone (RSG) was used to activate PPARg. From each mouse 4 samples were generated: 1. M-CSF, 2. M-CSF+RSG, 3. IL-4 and 4. IL-4+RSG. All compounds were added throughout the whole differentiation process, and frech media was added every other day. Control cells were treated with vehicle (DMSO:ethanol). After 10 days, RNA was isolated and gene expression profiles were analyzed using Mouse Genome 430 2.0 microarrays from Affymetrix."}
{"STANDARD_NAME":"GSE25123_WT_VS_PPARG_KO_MACROPHAGE_UP","SYSTEMATIC_NAME":"M7951","ORGANISM":"Mus musculus","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE25123","EXACT_SOURCE":"GSE25123_2320_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived macrophages: wildtype versus PPARG [GeneID=5468] knockout.","DESCRIPTION_FULL":"Conditional macrophage-specific PPARg knockout mice were generated on C57Bl/6 background by breeding PPARg fl/- (one allele is floxed, the other is null) and lysozyme Cre transgenic mice. PPARg and IL-4 signaling was analyzed on bone marrow-derived macrophages. Bone marrow of 3 mice per group was isolated and differentiated to macrophages with M-CSF (20 ng/ml). 20 ng/ml IL-4 was used to induce alternative macrophage activation and 1 uM Rosiglitazone (RSG) was used to activate PPARg. From each mouse 4 samples were generated: 1. M-CSF, 2. M-CSF+RSG, 3. IL-4 and 4. IL-4+RSG. All compounds were added throughout the whole differentiation process, and fresh media was added every other day. Control cells were treated with vehicle (DMSO:ethanol). After 10 days, RNA was isolated and gene expression profiles were analyzed using Mouse Genome 430 2.0 microarrays from Affymetrix."}
{"STANDARD_NAME":"GSE25123_WT_VS_PPARG_KO_MACROPHAGE_DN","SYSTEMATIC_NAME":"M7953","ORGANISM":"Mus musculus","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE25123","EXACT_SOURCE":"GSE25123_2320_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived macrophages: wildtype versus PPARG [GeneID=5468] knockout.","DESCRIPTION_FULL":"Conditional macrophage-specific PPARg knockout mice were generated on C57Bl/6 background by breeding PPARg fl/- (one allele is floxed, the other is null) and lysozyme Cre transgenic mice. PPARg and IL-4 signaling was analyzed on bone marrow-derived macrophages. Bone marrow of 3 mice per group was isolated and differentiated to macrophages with M-CSF (20 ng/ml). 20 ng/ml IL-4 was used to induce alternative macrophage activation and 1 uM Rosiglitazone (RSG) was used to activate PPARg. From each mouse 4 samples were generated: 1. M-CSF, 2. M-CSF+RSG, 3. IL-4 and 4. IL-4+RSG. All compounds were added throughout the whole differentiation process, and fresh media was added every other day. Control cells were treated with vehicle (DMSO:ethanol). After 10 days, RNA was isolated and gene expression profiles were analyzed using Mouse Genome 430 2.0 microarrays from Affymetrix."}
{"STANDARD_NAME":"GSE25123_WT_VS_PPARG_KO_MACROPHAGE_IL4_STIM_UP","SYSTEMATIC_NAME":"M7954","ORGANISM":"Mus musculus","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE25123","EXACT_SOURCE":"GSE25123_2321_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived macrophages treated with IL4 [GeneID=3565]: wildtype versus PPARG [GeneID=5468] knockout.","DESCRIPTION_FULL":"Conditional macrophage-specific PPARg knockout mice were generated on C57Bl/6 background by breeding PPARg fl/- (one allele is floxed, the other is null) and lysozyme Cre transgenic mice. PPARg and IL-4 signaling was analyzed on bone marrow-derived macrophages. Bone marrow of 3 mice per group was isolated and differentiated to macrophages with M-CSF (20 ng/ml). 20 ng/ml IL-4 was used to induce alternative macrophage activation and 1 uM Rosiglitazone (RSG) was used to activate PPARg. From each mouse 4 samples were generated: 1. M-CSF, 2. M-CSF+RSG, 3. IL-4 and 4. IL-4+RSG. All compounds were added throughout the whole differentiation process, and fresh media was added every other day. Control cells were treated with vehicle (DMSO:ethanol). After 10 days, RNA was isolated and gene expression profiles were analyzed using Mouse Genome 430 2.0 microarrays from Affymetrix."}
{"STANDARD_NAME":"GSE25123_WT_VS_PPARG_KO_MACROPHAGE_IL4_STIM_DN","SYSTEMATIC_NAME":"M7958","ORGANISM":"Mus musculus","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE25123","EXACT_SOURCE":"GSE25123_2321_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived macrophages treated with IL4 [GeneID=3565]: wildtype versus PPARG [GeneID=5468] knockout.","DESCRIPTION_FULL":"Conditional macrophage-specific PPARg knockout mice were generated on C57Bl/6 background by breeding PPARg fl/- (one allele is floxed, the other is null) and lysozyme Cre transgenic mice. PPARg and IL-4 signaling was analyzed on bone marrow-derived macrophages. Bone marrow of 3 mice per group was isolated and differentiated to macrophages with M-CSF (20 ng/ml). 20 ng/ml IL-4 was used to induce alternative macrophage activation and 1 uM Rosiglitazone (RSG) was used to activate PPARg. From each mouse 4 samples were generated: 1. M-CSF, 2. M-CSF+RSG, 3. IL-4 and 4. IL-4+RSG. All compounds were added throughout the whole differentiation process, and fresh media was added every other day. Control cells were treated with vehicle (DMSO:ethanol). After 10 days, RNA was isolated and gene expression profiles were analyzed using Mouse Genome 430 2.0 microarrays from Affymetrix."}
{"STANDARD_NAME":"GSE16385_UNTREATED_VS_12H_IL4_TREATED_MACROPHAGE_UP","SYSTEMATIC_NAME":"M7959","ORGANISM":"Homo sapiens","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE16385","EXACT_SOURCE":"GSE16385_2270_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages (12h): control versus IL4 [GeneID=3565].","DESCRIPTION_FULL":"Human CD14 positive monocytes were purified from healthy volunteers’ blood and cultured in vitro for 4, 12, 24, 72 hours. While culturing, macrophages were activated alternatively with interleukin-4 (IL-4 100 ng/ml) or classically with interferon-gamma (IFNg 100 ng/ml)+tumor necrosis factor (TNF 50 ng/ml) or left without activation. Simultaneously, macrophages were also treated with vehicle (DMSO:ethanol) or 1mM synthetic PPARg agonist, Rosiglitazone. We used Affymetrix microarrays (U133Plus 2.0) to analyze activation and PPARg-induced gene expression changes."}
{"STANDARD_NAME":"GSE16385_UNTREATED_VS_12H_IL4_TREATED_MACROPHAGE_DN","SYSTEMATIC_NAME":"M7960","ORGANISM":"Homo sapiens","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE16385","EXACT_SOURCE":"GSE16385_2270_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages (12h): control versus IL4 [GeneID=3565].","DESCRIPTION_FULL":"Human CD14 positive monocytes were purified from healthy volunteers’ blood and cultured in vitro for 4, 12, 24, 72 hours. While culturing, macrophages were activated alternatively with interleukin-4 (IL-4 100 ng/ml) or classically with interferon-gamma (IFNg 100 ng/ml)+tumor necrosis factor (TNF 50 ng/ml) or left without activation. Simultaneously, macrophages were also treated with vehicle (DMSO:ethanol) or 1mM synthetic PPARg agonist, Rosiglitazone. We used Affymetrix microarrays (U133Plus 2.0) to analyze activation and PPARg-induced gene expression changes."}
{"STANDARD_NAME":"GSE25123_CTRL_VS_IL4_AND_ROSIGLITAZONE_STIM_PPARG_KO_MACROPHAGE_DN","SYSTEMATIC_NAME":"M7961","ORGANISM":"Mus musculus","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE25123","EXACT_SOURCE":"GSE25123_2329_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived macrophages with PPARG [GeneID=5468] knockout: control versus IL4 [GeneID=3565] and rosiglitazone [PubChem=77999].","DESCRIPTION_FULL":"Conditional macrophage-specific PPARg knockout mice were generated on C57Bl/6 background by breeding PPARg fl/- (one allele is floxed, the other is null) and lysozyme Cre transgenic mice. PPARg and IL-4 signaling was analyzed on bone marrow-derived macrophages. Bone marrow of 3 mice per group was isolated and differentiated to macrophages with M-CSF (20 ng/ml). 20 ng/ml IL-4 was used to induce alternative macrophage activation and 1 uM Rosiglitazone (RSG) was used to activate PPARg. From each mouse 4 samples were generated: 1. M-CSF, 2. M-CSF+RSG, 3. IL-4 and 4. IL-4+RSG. All compounds were added throughout the whole differentiation process, and fresh media was added every other day. Control cells were treated with vehicle (DMSO:ethanol). After 10 days, RNA was isolated and gene expression profiles were analyzed using Mouse Genome 430 2.0 microarrays from Affymetrix."}
{"STANDARD_NAME":"GSE25123_IL4_VS_IL4_AND_ROSIGLITAZONE_STIM_MACROPHAGE_DAY10_UP","SYSTEMATIC_NAME":"M7962","ORGANISM":"Mus musculus","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE25123","EXACT_SOURCE":"GSE25123_2333_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in wildtype bone marrow-derived macrophages treated with IL4 [GeneID=3565]: control versus rosiglitazone [PubChem=77999].","DESCRIPTION_FULL":"Conditional macrophage-specific PPARg knockout mice were generated on C57Bl/6 background by breeding PPARg fl/- (one allele is floxed, the other is null) and lysozyme Cre transgenic mice. PPARg and IL-4 signaling was analyzed on bone marrow-derived macrophages. Bone marrow of 3 mice per group was isolated and differentiated to macrophages with M-CSF (20 ng/ml). 20 ng/ml IL-4 was used to induce alternative macrophage activation and 1 uM Rosiglitazone (RSG) was used to activate PPARg. From each mouse 4 samples were generated: 1. M-CSF, 2. M-CSF+RSG, 3. IL-4 and 4. IL-4+RSG. All compounds were added throughout the whole differentiation process, and fresh media was added every other day. Control cells were treated with vehicle (DMSO:ethanol). After 10 days, RNA was isolated and gene expression profiles were analyzed using Mouse Genome 430 2.0 microarrays from Affymetrix."}
{"STANDARD_NAME":"GSE25123_IL4_VS_IL4_AND_ROSIGLITAZONE_STIM_MACROPHAGE_DAY10_DN","SYSTEMATIC_NAME":"M7965","ORGANISM":"Mus musculus","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE25123","EXACT_SOURCE":"GSE25123_2333_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in wildtype bone marrow-derived macrophages treated with IL4 [GeneID=3565]: control versus rosiglitazone [PubChem=77999].","DESCRIPTION_FULL":"Conditional macrophage-specific PPARg knockout mice were generated on C57Bl/6 background by breeding PPARg fl/- (one allele is floxed, the other is null) and lysozyme Cre transgenic mice. PPARg and IL-4 signaling was analyzed on bone marrow-derived macrophages. Bone marrow of 3 mice per group was isolated and differentiated to macrophages with M-CSF (20 ng/ml). 20 ng/ml IL-4 was used to induce alternative macrophage activation and 1 uM Rosiglitazone (RSG) was used to activate PPARg. From each mouse 4 samples were generated: 1. M-CSF, 2. M-CSF+RSG, 3. IL-4 and 4. IL-4+RSG. All compounds were added throughout the whole differentiation process, and fresh media was added every other day. Control cells were treated with vehicle (DMSO:ethanol). After 10 days, RNA was isolated and gene expression profiles were analyzed using Mouse Genome 430 2.0 microarrays from Affymetrix."}
{"STANDARD_NAME":"GSE25123_ROSIGLITAZONE_VS_IL4_AND_ROSIGLITAZONE_STIM_MACROPHAGE_DAY10_UP","SYSTEMATIC_NAME":"M7967","ORGANISM":"Mus musculus","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE25123","EXACT_SOURCE":"GSE25123_2334_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in wildtype bone marrow-derived macrophages treated with rosiglitazone [PubChem=77999]: control versus IL4 [GeneID=3565].","DESCRIPTION_FULL":"Conditional macrophage-specific PPARg knockout mice were generated on C57Bl/6 background by breeding PPARg fl/- (one allele is floxed, the other is null) and lysozyme Cre transgenic mice. PPARg and IL-4 signaling was analyzed on bone marrow-derived macrophages. Bone marrow of 3 mice per group was isolated and differentiated to macrophages with M-CSF (20 ng/ml). 20 ng/ml IL-4 was used to induce alternative macrophage activation and 1 uM Rosiglitazone (RSG) was used to activate PPARg. From each mouse 4 samples were generated: 1. M-CSF, 2. M-CSF+RSG, 3. IL-4 and 4. IL-4+RSG. All compounds were added throughout the whole differentiation process, and fresh media was added every other day. Control cells were treated with vehicle (DMSO:ethanol). After 10 days, RNA was isolated and gene expression profiles were analyzed using Mouse Genome 430 2.0 microarrays from Affymetrix."}
{"STANDARD_NAME":"GSE25123_ROSIGLITAZONE_VS_IL4_AND_ROSIGLITAZONE_STIM_MACROPHAGE_DAY10_DN","SYSTEMATIC_NAME":"M7969","ORGANISM":"Mus musculus","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE25123","EXACT_SOURCE":"GSE25123_2334_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in wildtype bone marrow-derived macrophages treated with rosiglitazone [PubChem=77999]: control versus IL4 [GeneID=3565].","DESCRIPTION_FULL":"Conditional macrophage-specific PPARg knockout mice were generated on C57Bl/6 background by breeding PPARg fl/- (one allele is floxed, the other is null) and lysozyme Cre transgenic mice. PPARg and IL-4 signaling was analyzed on bone marrow-derived macrophages. Bone marrow of 3 mice per group was isolated and differentiated to macrophages with M-CSF (20 ng/ml). 20 ng/ml IL-4 was used to induce alternative macrophage activation and 1 uM Rosiglitazone (RSG) was used to activate PPARg. From each mouse 4 samples were generated: 1. M-CSF, 2. M-CSF+RSG, 3. IL-4 and 4. IL-4+RSG. All compounds were added throughout the whole differentiation process, and fresh media was added every other day. Control cells were treated with vehicle (DMSO:ethanol). After 10 days, RNA was isolated and gene expression profiles were analyzed using Mouse Genome 430 2.0 microarrays from Affymetrix."}
{"STANDARD_NAME":"GSE25123_IL4_VS_IL4_AND_ROSIGLITAZONE_STIM_PPARG_KO_MACROPHAGE_DAY10_UP","SYSTEMATIC_NAME":"M7971","ORGANISM":"Mus musculus","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE25123","EXACT_SOURCE":"GSE25123_2335_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived macrophages with PPARG [GeneID=5468] knockout treated with IL4 [GeneID=3565]: control versus rosiglitazone [PubChem=77999].","DESCRIPTION_FULL":"Conditional macrophage-specific PPARg knockout mice were generated on C57Bl/6 background by breeding PPARg fl/- (one allele is floxed, the other is null) and lysozyme Cre transgenic mice. PPARg and IL-4 signaling was analyzed on bone marrow-derived macrophages. Bone marrow of 3 mice per group was isolated and differentiated to macrophages with M-CSF (20 ng/ml). 20 ng/ml IL-4 was used to induce alternative macrophage activation and 1 uM Rosiglitazone (RSG) was used to activate PPARg. From each mouse 4 samples were generated: 1. M-CSF, 2. M-CSF+RSG, 3. IL-4 and 4. IL-4+RSG. All compounds were added throughout the whole differentiation process, and fresh media was added every other day. Control cells were treated with vehicle (DMSO:ethanol). After 10 days, RNA was isolated and gene expression profiles were analyzed using Mouse Genome 430 2.0 microarrays from Affymetrix."}
{"STANDARD_NAME":"GSE25123_IL4_VS_IL4_AND_ROSIGLITAZONE_STIM_PPARG_KO_MACROPHAGE_DAY10_DN","SYSTEMATIC_NAME":"M7972","ORGANISM":"Mus musculus","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE25123","EXACT_SOURCE":"GSE25123_2335_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived macrophages with PPARG [GeneID=5468] knockout treated with IL4 [GeneID=3565]: control versus rosiglitazone [PubChem=77999].","DESCRIPTION_FULL":"Conditional macrophage-specific PPARg knockout mice were generated on C57Bl/6 background by breeding PPARg fl/- (one allele is floxed, the other is null) and lysozyme Cre transgenic mice. PPARg and IL-4 signaling was analyzed on bone marrow-derived macrophages. Bone marrow of 3 mice per group was isolated and differentiated to macrophages with M-CSF (20 ng/ml). 20 ng/ml IL-4 was used to induce alternative macrophage activation and 1 uM Rosiglitazone (RSG) was used to activate PPARg. From each mouse 4 samples were generated: 1. M-CSF, 2. M-CSF+RSG, 3. IL-4 and 4. IL-4+RSG. All compounds were added throughout the whole differentiation process, and fresh media was added every other day. Control cells were treated with vehicle (DMSO:ethanol). After 10 days, RNA was isolated and gene expression profiles were analyzed using Mouse Genome 430 2.0 microarrays from Affymetrix."}
{"STANDARD_NAME":"GSE25088_WT_VS_STAT6_KO_MACROPHAGE_UP","SYSTEMATIC_NAME":"M7973","ORGANISM":"Mus musculus","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE25088","EXACT_SOURCE":"GSE25088_2286_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived macrophages: wildtype versus STAT6 [GeneID=6778] knockout.","DESCRIPTION_FULL":"C57Bl/6 wild-type and STAT6 KO mice were used to study PPARg and IL-4 signaling. Bone marrow of 3 mice per group was isolated and differentiated to macrophages with M-CSF (20 ng/ml). 20 ng/ml IL-4 was used to induce alternative macrophage activation and 1 uM Rosiglitazone (RSG) was used to activate PPARg. From each mouse 4 samples were generated: 1. M-CSF, 2. M-CSF+RSG, 3. IL-4 and 4. IL-4+RSG. All compounds were added throughout the whole differentiation process, and frech media was added every other day. Control cells were treated with vehicle (DMSO:ethanol). After 10 days, RNA was isolated and gene expression profiles were analyzed using Mouse Genome 430 2.0 microarrays from Affymetrix."}
{"STANDARD_NAME":"GSE25123_CTRL_VS_IL4_STIM_PPARG_KO_MACROPHAGE_UP","SYSTEMATIC_NAME":"M7975","ORGANISM":"Mus musculus","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE25123","EXACT_SOURCE":"GSE25123_2327_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived macrophages with PPARG [GeneID=5468] knockout: control versus IL4 [GeneID=3565].","DESCRIPTION_FULL":"Conditional macrophage-specific PPARg knockout mice were generated on C57Bl/6 background by breeding PPARg fl/- (one allele is floxed, the other is null) and lysozyme Cre transgenic mice. PPARg and IL-4 signaling was analyzed on bone marrow-derived macrophages. Bone marrow of 3 mice per group was isolated and differentiated to macrophages with M-CSF (20 ng/ml). 20 ng/ml IL-4 was used to induce alternative macrophage activation and 1 uM Rosiglitazone (RSG) was used to activate PPARg. From each mouse 4 samples were generated: 1. M-CSF, 2. M-CSF+RSG, 3. IL-4 and 4. IL-4+RSG. All compounds were added throughout the whole differentiation process, and fresh media was added every other day. Control cells were treated with vehicle (DMSO:ethanol). After 10 days, RNA was isolated and gene expression profiles were analyzed using Mouse Genome 430 2.0 microarrays from Affymetrix."}
{"STANDARD_NAME":"GSE25123_CTRL_VS_IL4_STIM_PPARG_KO_MACROPHAGE_DN","SYSTEMATIC_NAME":"M7976","ORGANISM":"Mus musculus","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE25123","EXACT_SOURCE":"GSE25123_2327_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived macrophages with PPARG [GeneID=5468] knockout: control versus IL4 [GeneID=3565].","DESCRIPTION_FULL":"Conditional macrophage-specific PPARg knockout mice were generated on C57Bl/6 background by breeding PPARg fl/- (one allele is floxed, the other is null) and lysozyme Cre transgenic mice. PPARg and IL-4 signaling was analyzed on bone marrow-derived macrophages. Bone marrow of 3 mice per group was isolated and differentiated to macrophages with M-CSF (20 ng/ml). 20 ng/ml IL-4 was used to induce alternative macrophage activation and 1 uM Rosiglitazone (RSG) was used to activate PPARg. From each mouse 4 samples were generated: 1. M-CSF, 2. M-CSF+RSG, 3. IL-4 and 4. IL-4+RSG. All compounds were added throughout the whole differentiation process, and fresh media was added every other day. Control cells were treated with vehicle (DMSO:ethanol). After 10 days, RNA was isolated and gene expression profiles were analyzed using Mouse Genome 430 2.0 microarrays from Affymetrix."}
{"STANDARD_NAME":"GSE25123_CTRL_VS_ROSIGLITAZONE_STIM_PPARG_KO_MACROPHAGE_UP","SYSTEMATIC_NAME":"M7977","ORGANISM":"Mus musculus","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE25123","EXACT_SOURCE":"GSE25123_2328_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived macrophages with PPARG [GeneID=5468] knockout: control versus rosiglitazone [PubChem=77999].","DESCRIPTION_FULL":"Conditional macrophage-specific PPARg knockout mice were generated on C57Bl/6 background by breeding PPARg fl/- (one allele is floxed, the other is null) and lysozyme Cre transgenic mice. PPARg and IL-4 signaling was analyzed on bone marrow-derived macrophages. Bone marrow of 3 mice per group was isolated and differentiated to macrophages with M-CSF (20 ng/ml). 20 ng/ml IL-4 was used to induce alternative macrophage activation and 1 uM Rosiglitazone (RSG) was used to activate PPARg. From each mouse 4 samples were generated: 1. M-CSF, 2. M-CSF+RSG, 3. IL-4 and 4. IL-4+RSG. All compounds were added throughout the whole differentiation process, and fresh media was added every other day. Control cells were treated with vehicle (DMSO:ethanol). After 10 days, RNA was isolated and gene expression profiles were analyzed using Mouse Genome 430 2.0 microarrays from Affymetrix."}
{"STANDARD_NAME":"GSE25123_WT_VS_PPARG_KO_MACROPHAGE_ROSIGLITAZONE_STIM_UP","SYSTEMATIC_NAME":"M7978","ORGANISM":"Mus musculus","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE25123","EXACT_SOURCE":"GSE25123_2322_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived macrophages treated with rosiglitazone [PubChem=77999]: wildtype versus PPARG [GeneID=5468].","DESCRIPTION_FULL":"Conditional macrophage-specific PPARg knockout mice were generated on C57Bl/6 background by breeding PPARg fl/- (one allele is floxed, the other is null) and lysozyme Cre transgenic mice. PPARg and IL-4 signaling was analyzed on bone marrow-derived macrophages. Bone marrow of 3 mice per group was isolated and differentiated to macrophages with M-CSF (20 ng/ml). 20 ng/ml IL-4 was used to induce alternative macrophage activation and 1 uM Rosiglitazone (RSG) was used to activate PPARg. From each mouse 4 samples were generated: 1. M-CSF, 2. M-CSF+RSG, 3. IL-4 and 4. IL-4+RSG. All compounds were added throughout the whole differentiation process, and fresh media was added every other day. Control cells were treated with vehicle (DMSO:ethanol). After 10 days, RNA was isolated and gene expression profiles were analyzed using Mouse Genome 430 2.0 microarrays from Affymetrix."}
{"STANDARD_NAME":"GSE25123_CTRL_VS_IL4_AND_ROSIGLITAZONE_STIM_PPARG_KO_MACROPHAGE_UP","SYSTEMATIC_NAME":"M7980","ORGANISM":"Mus musculus","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE25123","EXACT_SOURCE":"GSE25123_2329_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived macrophages with PPARG [GeneID=5468] knockout: control versus IL4 [GeneID=3565] and rosiglitazone [PubChem=77999].","DESCRIPTION_FULL":"Conditional macrophage-specific PPARg knockout mice were generated on C57Bl/6 background by breeding PPARg fl/- (one allele is floxed, the other is null) and lysozyme Cre transgenic mice. PPARg and IL-4 signaling was analyzed on bone marrow-derived macrophages. Bone marrow of 3 mice per group was isolated and differentiated to macrophages with M-CSF (20 ng/ml). 20 ng/ml IL-4 was used to induce alternative macrophage activation and 1 uM Rosiglitazone (RSG) was used to activate PPARg. From each mouse 4 samples were generated: 1. M-CSF, 2. M-CSF+RSG, 3. IL-4 and 4. IL-4+RSG. All compounds were added throughout the whole differentiation process, and fresh media was added every other day. Control cells were treated with vehicle (DMSO:ethanol). After 10 days, RNA was isolated and gene expression profiles were analyzed using Mouse Genome 430 2.0 microarrays from Affymetrix."}
{"STANDARD_NAME":"GSE25088_IL4_VS_IL4_AND_ROSIGLITAZONE_STIM_MACROPHAGE_DAY10_UP","SYSTEMATIC_NAME":"M7981","ORGANISM":"Mus musculus","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE25088","EXACT_SOURCE":"GSE25088_2299_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in wildtype bone marrow-derived macrophages treated with IL4 [GeneID=3565]: control versus rosiglitazone [PubChem=77999].","DESCRIPTION_FULL":"C57Bl/6 wild-type and STAT6 KO mice were used to study PPARg and IL-4 signaling. Bone marrow of 3 mice per group was isolated and differentiated to macrophages with M-CSF (20 ng/ml). 20 ng/ml IL-4 was used to induce alternative macrophage activation and 1 uM Rosiglitazone (RSG) was used to activate PPARg. From each mouse 4 samples were generated: 1. M-CSF, 2. M-CSF+RSG, 3. IL-4 and 4. IL-4+RSG. All compounds were added throughout the whole differentiation process, and frech media was added every other day. Control cells were treated with vehicle (DMSO:ethanol). After 10 days, RNA was isolated and gene expression profiles were analyzed using Mouse Genome 430 2.0 microarrays from Affymetrix."}
{"STANDARD_NAME":"GSE25088_IL4_VS_IL4_AND_ROSIGLITAZONE_STIM_MACROPHAGE_DAY10_DN","SYSTEMATIC_NAME":"M7983","ORGANISM":"Mus musculus","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE25088","EXACT_SOURCE":"GSE25088_2299_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in wildtype bone marrow-derived macrophages treated with IL4 [GeneID=3565]: control versus rosiglitazone [PubChem=77999].","DESCRIPTION_FULL":"C57Bl/6 wild-type and STAT6 KO mice were used to study PPARg and IL-4 signaling. Bone marrow of 3 mice per group was isolated and differentiated to macrophages with M-CSF (20 ng/ml). 20 ng/ml IL-4 was used to induce alternative macrophage activation and 1 uM Rosiglitazone (RSG) was used to activate PPARg. From each mouse 4 samples were generated: 1. M-CSF, 2. M-CSF+RSG, 3. IL-4 and 4. IL-4+RSG. All compounds were added throughout the whole differentiation process, and frech media was added every other day. Control cells were treated with vehicle (DMSO:ethanol). After 10 days, RNA was isolated and gene expression profiles were analyzed using Mouse Genome 430 2.0 microarrays from Affymetrix."}
{"STANDARD_NAME":"GSE25088_ROSIGLITAZONE_VS_IL4_AND_ROSIGLITAZONE_STIM_MACROPHAGE_DAY10_UP","SYSTEMATIC_NAME":"M7984","ORGANISM":"Mus musculus","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE25088","EXACT_SOURCE":"GSE25088_2300_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in wildtype bone marrow-derived macrophages treated with rosiglitazone [PubChem=77999]: control versus IL4 [GeneID=3565].","DESCRIPTION_FULL":"C57Bl/6 wild-type and STAT6 KO mice were used to study PPARg and IL-4 signaling. Bone marrow of 3 mice per group was isolated and differentiated to macrophages with M-CSF (20 ng/ml). 20 ng/ml IL-4 was used to induce alternative macrophage activation and 1 uM Rosiglitazone (RSG) was used to activate PPARg. From each mouse 4 samples were generated: 1. M-CSF, 2. M-CSF+RSG, 3. IL-4 and 4. IL-4+RSG. All compounds were added throughout the whole differentiation process, and frech media was added every other day. Control cells were treated with vehicle (DMSO:ethanol). After 10 days, RNA was isolated and gene expression profiles were analyzed using Mouse Genome 430 2.0 microarrays from Affymetrix."}
{"STANDARD_NAME":"GSE25088_ROSIGLITAZONE_VS_IL4_AND_ROSIGLITAZONE_STIM_MACROPHAGE_DAY10_DN","SYSTEMATIC_NAME":"M7985","ORGANISM":"Mus musculus","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE25088","EXACT_SOURCE":"GSE25088_2300_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in wildtype bone marrow-derived macrophages treated with rosiglitazone [PubChem=77999]: control versus IL4 [GeneID=3565].","DESCRIPTION_FULL":"C57Bl/6 wild-type and STAT6 KO mice were used to study PPARg and IL-4 signaling. Bone marrow of 3 mice per group was isolated and differentiated to macrophages with M-CSF (20 ng/ml). 20 ng/ml IL-4 was used to induce alternative macrophage activation and 1 uM Rosiglitazone (RSG) was used to activate PPARg. From each mouse 4 samples were generated: 1. M-CSF, 2. M-CSF+RSG, 3. IL-4 and 4. IL-4+RSG. All compounds were added throughout the whole differentiation process, and frech media was added every other day. Control cells were treated with vehicle (DMSO:ethanol). After 10 days, RNA was isolated and gene expression profiles were analyzed using Mouse Genome 430 2.0 microarrays from Affymetrix."}
{"STANDARD_NAME":"GSE16385_ROSIGLITAZONE_IL4_VS_ROSIGLITAZONE_ALONE_STIM_MACROPHAGE_UP","SYSTEMATIC_NAME":"M7986","ORGANISM":"Homo sapiens","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE16385","EXACT_SOURCE":"GSE16385_2278_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages (12h): rosiglitazone [PubChem=77999] and IL4 [GeneID=3565] versus rosiglitazone [PubChem=77999].","DESCRIPTION_FULL":"Human CD14 positive monocytes were purified from healthy volunteers’ blood and cultured in vitro for 4, 12, 24, 72 hours. While culturing, macrophages were activated alternatively with interleukin-4 (IL-4 100 ng/ml) or classically with interferon-gamma (IFNg 100 ng/ml)+tumor necrosis factor (TNF 50 ng/ml) or left without activation. Simultaneously, macrophages were also treated with vehicle (DMSO:ethanol) or 1mM synthetic PPARg agonist, Rosiglitazone. We used Affymetrix microarrays (U133Plus 2.0) to analyze activation and PPARg-induced gene expression changes."}
{"STANDARD_NAME":"GSE16385_ROSIGLITAZONE_IL4_VS_ROSIGLITAZONE_ALONE_STIM_MACROPHAGE_DN","SYSTEMATIC_NAME":"M7989","ORGANISM":"Homo sapiens","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE16385","EXACT_SOURCE":"GSE16385_2278_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages (12h): rosiglitazone [PubChem=77999] and IL4 [GeneID=3565] versus rosiglitazone [PubChem=77999].","DESCRIPTION_FULL":"Human CD14 positive monocytes were purified from healthy volunteers’ blood and cultured in vitro for 4, 12, 24, 72 hours. While culturing, macrophages were activated alternatively with interleukin-4 (IL-4 100 ng/ml) or classically with interferon-gamma (IFNg 100 ng/ml)+tumor necrosis factor (TNF 50 ng/ml) or left without activation. Simultaneously, macrophages were also treated with vehicle (DMSO:ethanol) or 1mM synthetic PPARg agonist, Rosiglitazone. We used Affymetrix microarrays (U133Plus 2.0) to analyze activation and PPARg-induced gene expression changes."}
{"STANDARD_NAME":"GSE16385_IFNG_TNF_VS_IL4_STIM_MACROPHAGE_UP","SYSTEMATIC_NAME":"M7990","ORGANISM":"Homo sapiens","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE16385","EXACT_SOURCE":"GSE16385_2279_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages (12h): IFNG and TNF [GeneID=3458;7124] versus IL4 [GeneID=3565].","DESCRIPTION_FULL":"Human CD14 positive monocytes were purified from healthy volunteers’ blood and cultured in vitro for 4, 12, 24, 72 hours. While culturing, macrophages were activated alternatively with interleukin-4 (IL-4 100 ng/ml) or classically with interferon-gamma (IFNg 100 ng/ml)+tumor necrosis factor (TNF 50 ng/ml) or left without activation. Simultaneously, macrophages were also treated with vehicle (DMSO:ethanol) or 1mM synthetic PPARg agonist, Rosiglitazone. We used Affymetrix microarrays (U133Plus 2.0) to analyze activation and PPARg-induced gene expression changes."}
{"STANDARD_NAME":"GSE25123_ROSIGLITAZONE_VS_IL4_AND_ROSIGLITAZONE_STIM_PPARG_KO_MACROPHAGE_DAY10_UP","SYSTEMATIC_NAME":"M7991","ORGANISM":"Mus musculus","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE25123","EXACT_SOURCE":"GSE25123_2336_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived macrophages with PPARG [GeneID=5468] knockout treated with rosiglitazone [PubChem=77999]: control versus IL4 [GeneID=3565].","DESCRIPTION_FULL":"Conditional macrophage-specific PPARg knockout mice were generated on C57Bl/6 background by breeding PPARg fl/- (one allele is floxed, the other is null) and lysozyme Cre transgenic mice. PPARg and IL-4 signaling was analyzed on bone marrow-derived macrophages. Bone marrow of 3 mice per group was isolated and differentiated to macrophages with M-CSF (20 ng/ml). 20 ng/ml IL-4 was used to induce alternative macrophage activation and 1 uM Rosiglitazone (RSG) was used to activate PPARg. From each mouse 4 samples were generated: 1. M-CSF, 2. M-CSF+RSG, 3. IL-4 and 4. IL-4+RSG. All compounds were added throughout the whole differentiation process, and fresh media was added every other day. Control cells were treated with vehicle (DMSO:ethanol). After 10 days, RNA was isolated and gene expression profiles were analyzed using Mouse Genome 430 2.0 microarrays from Affymetrix."}
{"STANDARD_NAME":"GSE25123_ROSIGLITAZONE_VS_IL4_AND_ROSIGLITAZONE_STIM_PPARG_KO_MACROPHAGE_DAY10_DN","SYSTEMATIC_NAME":"M7992","ORGANISM":"Mus musculus","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE25123","EXACT_SOURCE":"GSE25123_2336_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived macrophages with PPARG [GeneID=5468] knockout treated with rosiglitazone [PubChem=77999]: control versus IL4 [GeneID=3565].","DESCRIPTION_FULL":"Conditional macrophage-specific PPARg knockout mice were generated on C57Bl/6 background by breeding PPARg fl/- (one allele is floxed, the other is null) and lysozyme Cre transgenic mice. PPARg and IL-4 signaling was analyzed on bone marrow-derived macrophages. Bone marrow of 3 mice per group was isolated and differentiated to macrophages with M-CSF (20 ng/ml). 20 ng/ml IL-4 was used to induce alternative macrophage activation and 1 uM Rosiglitazone (RSG) was used to activate PPARg. From each mouse 4 samples were generated: 1. M-CSF, 2. M-CSF+RSG, 3. IL-4 and 4. IL-4+RSG. All compounds were added throughout the whole differentiation process, and fresh media was added every other day. Control cells were treated with vehicle (DMSO:ethanol). After 10 days, RNA was isolated and gene expression profiles were analyzed using Mouse Genome 430 2.0 microarrays from Affymetrix."}
{"STANDARD_NAME":"GSE16385_ROSIGLITAZONE_IFNG_TNF_VS_IL4_STIM_MACROPHAGE_DN","SYSTEMATIC_NAME":"M7993","ORGANISM":"Homo sapiens","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE16385","EXACT_SOURCE":"GSE16385_2274_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages (12h): IFNG, TNF [GeneID=3458;7124] and rosiglitazone [PubChem=77999] versus IL4 [GeneID=3565].","DESCRIPTION_FULL":"Human CD14 positive monocytes were purified from healthy volunteers’ blood and cultured in vitro for 4, 12, 24, 72 hours. While culturing, macrophages were activated alternatively with interleukin-4 (IL-4 100 ng/ml) or classically with interferon-gamma (IFNg 100 ng/ml)+tumor necrosis factor (TNF 50 ng/ml) or left without activation. Simultaneously, macrophages were also treated with vehicle (DMSO:ethanol) or 1mM synthetic PPARg agonist, Rosiglitazone. We used Affymetrix microarrays (U133Plus 2.0) to analyze activation and PPARg-induced gene expression changes."}
{"STANDARD_NAME":"GSE25088_CTRL_VS_ROSIGLITAZONE_STIM_STAT6_KO_MACROPHAGE_DN","SYSTEMATIC_NAME":"M7996","ORGANISM":"Mus musculus","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE25088","EXACT_SOURCE":"GSE25088_2294_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived macrophages with STAT6 [GeneID=6778] knockout: control versus treated with rosiglitazone [PubChem=77999].","DESCRIPTION_FULL":"C57Bl/6 wild-type and STAT6 KO mice were used to study PPARg and IL-4 signaling. Bone marrow of 3 mice per group was isolated and differentiated to macrophages with M-CSF (20 ng/ml). 20 ng/ml IL-4 was used to induce alternative macrophage activation and 1 uM Rosiglitazone (RSG) was used to activate PPARg. From each mouse 4 samples were generated: 1. M-CSF, 2. M-CSF+RSG, 3. IL-4 and 4. IL-4+RSG. All compounds were added throughout the whole differentiation process, and frech media was added every other day. Control cells were treated with vehicle (DMSO:ethanol). After 10 days, RNA was isolated and gene expression profiles were analyzed using Mouse Genome 430 2.0 microarrays from Affymetrix."}
{"STANDARD_NAME":"GSE25123_CTRL_VS_ROSIGLITAZONE_STIM_PPARG_KO_MACROPHAGE_DN","SYSTEMATIC_NAME":"M7998","ORGANISM":"Mus musculus","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE25123","EXACT_SOURCE":"GSE25123_2328_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived macrophages with PPARG [GeneID=5468] knockout: control versus rosiglitazone [PubChem=77999].","DESCRIPTION_FULL":"Conditional macrophage-specific PPARg knockout mice were generated on C57Bl/6 background by breeding PPARg fl/- (one allele is floxed, the other is null) and lysozyme Cre transgenic mice. PPARg and IL-4 signaling was analyzed on bone marrow-derived macrophages. Bone marrow of 3 mice per group was isolated and differentiated to macrophages with M-CSF (20 ng/ml). 20 ng/ml IL-4 was used to induce alternative macrophage activation and 1 uM Rosiglitazone (RSG) was used to activate PPARg. From each mouse 4 samples were generated: 1. M-CSF, 2. M-CSF+RSG, 3. IL-4 and 4. IL-4+RSG. All compounds were added throughout the whole differentiation process, and fresh media was added every other day. Control cells were treated with vehicle (DMSO:ethanol). After 10 days, RNA was isolated and gene expression profiles were analyzed using Mouse Genome 430 2.0 microarrays from Affymetrix."}
{"STANDARD_NAME":"GSE16386_IL4_VS_IL4_AND_ROSIGLITAZONE_STIM_MACROPHAGE_6H_UP","SYSTEMATIC_NAME":"M8000","ORGANISM":"Homo sapiens","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE16386","EXACT_SOURCE":"GSE16386_2260_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages (6h): IL4 [GeneID=3565] versus IL4 [GeneID=3565] and rosiglitazone [PubChem=77999].","DESCRIPTION_FULL":"Human CD14 positive monocytes were purified from healthy volunteers’ blood and cultured in vitro for 6 hours. While culturing, macrophages were activated alternatively with interleukin-4 (IL-4 100 ng/ml). Simultaneously, macrophages were also treated with vehicle (DMSO:ethanol) or 1uM synthetic PPARg agonist, Rosiglitazone. We used Affymetrix microarrays (U133Plus 2.0) to analyze activation and PPARg-induced gene expression changes."}
{"STANDARD_NAME":"GSE25088_WT_VS_STAT6_KO_MACROPHAGE_ROSIGLITAZONE_STIM_DN","SYSTEMATIC_NAME":"M8001","ORGANISM":"Mus musculus","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE25088","EXACT_SOURCE":"GSE25088_2288_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived macrophages treated with rosiglitazone [PubChem=77999]: wildtype versus STAT6 [GeneID=6778] knockout.","DESCRIPTION_FULL":"C57Bl/6 wild-type and STAT6 KO mice were used to study PPARg and IL-4 signaling. Bone marrow of 3 mice per group was isolated and differentiated to macrophages with M-CSF (20 ng/ml). 20 ng/ml IL-4 was used to induce alternative macrophage activation and 1 uM Rosiglitazone (RSG) was used to activate PPARg. From each mouse 4 samples were generated: 1. M-CSF, 2. M-CSF+RSG, 3. IL-4 and 4. IL-4+RSG. All compounds were added throughout the whole differentiation process, and frech media was added every other day. Control cells were treated with vehicle (DMSO:ethanol). After 10 days, RNA was isolated and gene expression profiles were analyzed using Mouse Genome 430 2.0 microarrays from Affymetrix."}
{"STANDARD_NAME":"GSE25088_WT_VS_STAT6_KO_MACROPHAGE_ROSIGLITAZONE_AND_IL4_STIM_UP","SYSTEMATIC_NAME":"M8002","ORGANISM":"Mus musculus","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE25088","EXACT_SOURCE":"GSE25088_2289_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived macrophages treated with IL4 [GeneID=3565] and rosiglitazone [PubChem=77999]: wildtype versus STAT6 [GeneID=6778] knockout.","DESCRIPTION_FULL":"C57Bl/6 wild-type and STAT6 KO mice were used to study PPARg and IL-4 signaling. Bone marrow of 3 mice per group was isolated and differentiated to macrophages with M-CSF (20 ng/ml). 20 ng/ml IL-4 was used to induce alternative macrophage activation and 1 uM Rosiglitazone (RSG) was used to activate PPARg. From each mouse 4 samples were generated: 1. M-CSF, 2. M-CSF+RSG, 3. IL-4 and 4. IL-4+RSG. All compounds were added throughout the whole differentiation process, and frech media was added every other day. Control cells were treated with vehicle (DMSO:ethanol). After 10 days, RNA was isolated and gene expression profiles were analyzed using Mouse Genome 430 2.0 microarrays from Affymetrix."}
{"STANDARD_NAME":"GSE25088_WT_VS_STAT6_KO_MACROPHAGE_ROSIGLITAZONE_AND_IL4_STIM_DN","SYSTEMATIC_NAME":"M8003","ORGANISM":"Mus musculus","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE25088","EXACT_SOURCE":"GSE25088_2289_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived macrophages treated with IL4 [GeneID=3565] and rosiglitazone [PubChem=77999]: wildtype versus STAT6 [GeneID=6778] knockout.","DESCRIPTION_FULL":"C57Bl/6 wild-type and STAT6 KO mice were used to study PPARg and IL-4 signaling. Bone marrow of 3 mice per group was isolated and differentiated to macrophages with M-CSF (20 ng/ml). 20 ng/ml IL-4 was used to induce alternative macrophage activation and 1 uM Rosiglitazone (RSG) was used to activate PPARg. From each mouse 4 samples were generated: 1. M-CSF, 2. M-CSF+RSG, 3. IL-4 and 4. IL-4+RSG. All compounds were added throughout the whole differentiation process, and frech media was added every other day. Control cells were treated with vehicle (DMSO:ethanol). After 10 days, RNA was isolated and gene expression profiles were analyzed using Mouse Genome 430 2.0 microarrays from Affymetrix."}
{"STANDARD_NAME":"GSE25088_CTRL_VS_IL4_STIM_MACROPHAGE_UP","SYSTEMATIC_NAME":"M8006","ORGANISM":"Mus musculus","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE25088","EXACT_SOURCE":"GSE25088_2290_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in wildtype bone marrow-derived macrophages: control versus treated with IL4 [GeneID=3565].","DESCRIPTION_FULL":"C57Bl/6 wild-type and STAT6 KO mice were used to study PPARg and IL-4 signaling. Bone marrow of 3 mice per group was isolated and differentiated to macrophages with M-CSF (20 ng/ml). 20 ng/ml IL-4 was used to induce alternative macrophage activation and 1 uM Rosiglitazone (RSG) was used to activate PPARg. From each mouse 4 samples were generated: 1. M-CSF, 2. M-CSF+RSG, 3. IL-4 and 4. IL-4+RSG. All compounds were added throughout the whole differentiation process, and frech media was added every other day. Control cells were treated with vehicle (DMSO:ethanol). After 10 days, RNA was isolated and gene expression profiles were analyzed using Mouse Genome 430 2.0 microarrays from Affymetrix."}
{"STANDARD_NAME":"GSE25088_CTRL_VS_IL4_STIM_MACROPHAGE_DN","SYSTEMATIC_NAME":"M8007","ORGANISM":"Mus musculus","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE25088","EXACT_SOURCE":"GSE25088_2290_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in wildtype bone marrow-derived macrophages: control versus treated with IL4 [GeneID=3565].","DESCRIPTION_FULL":"C57Bl/6 wild-type and STAT6 KO mice were used to study PPARg and IL-4 signaling. Bone marrow of 3 mice per group was isolated and differentiated to macrophages with M-CSF (20 ng/ml). 20 ng/ml IL-4 was used to induce alternative macrophage activation and 1 uM Rosiglitazone (RSG) was used to activate PPARg. From each mouse 4 samples were generated: 1. M-CSF, 2. M-CSF+RSG, 3. IL-4 and 4. IL-4+RSG. All compounds were added throughout the whole differentiation process, and frech media was added every other day. Control cells were treated with vehicle (DMSO:ethanol). After 10 days, RNA was isolated and gene expression profiles were analyzed using Mouse Genome 430 2.0 microarrays from Affymetrix."}
{"STANDARD_NAME":"GSE25088_CTRL_VS_ROSIGLITAZONE_STIM_MACROPHAGE_UP","SYSTEMATIC_NAME":"M8008","ORGANISM":"Mus musculus","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE25088","EXACT_SOURCE":"GSE25088_2291_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in wildtype bone marrow-derived macrophages: control versus treated with rosiglitazone [PubChem=77999].","DESCRIPTION_FULL":"C57Bl/6 wild-type and STAT6 KO mice were used to study PPARg and IL-4 signaling. Bone marrow of 3 mice per group was isolated and differentiated to macrophages with M-CSF (20 ng/ml). 20 ng/ml IL-4 was used to induce alternative macrophage activation and 1 uM Rosiglitazone (RSG) was used to activate PPARg. From each mouse 4 samples were generated: 1. M-CSF, 2. M-CSF+RSG, 3. IL-4 and 4. IL-4+RSG. All compounds were added throughout the whole differentiation process, and frech media was added every other day. Control cells were treated with vehicle (DMSO:ethanol). After 10 days, RNA was isolated and gene expression profiles were analyzed using Mouse Genome 430 2.0 microarrays from Affymetrix."}
{"STANDARD_NAME":"GSE25088_CTRL_VS_ROSIGLITAZONE_STIM_MACROPHAGE_DN","SYSTEMATIC_NAME":"M8010","ORGANISM":"Mus musculus","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE25088","EXACT_SOURCE":"GSE25088_2291_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in wildtype bone marrow-derived macrophages: control versus treated with rosiglitazone [PubChem=77999].","DESCRIPTION_FULL":"C57Bl/6 wild-type and STAT6 KO mice were used to study PPARg and IL-4 signaling. Bone marrow of 3 mice per group was isolated and differentiated to macrophages with M-CSF (20 ng/ml). 20 ng/ml IL-4 was used to induce alternative macrophage activation and 1 uM Rosiglitazone (RSG) was used to activate PPARg. From each mouse 4 samples were generated: 1. M-CSF, 2. M-CSF+RSG, 3. IL-4 and 4. IL-4+RSG. All compounds were added throughout the whole differentiation process, and frech media was added every other day. Control cells were treated with vehicle (DMSO:ethanol). After 10 days, RNA was isolated and gene expression profiles were analyzed using Mouse Genome 430 2.0 microarrays from Affymetrix."}
{"STANDARD_NAME":"GSE16385_IFNG_TNF_VS_IL4_STIM_MACROPHAGE_DN","SYSTEMATIC_NAME":"M8011","ORGANISM":"Homo sapiens","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE16385","EXACT_SOURCE":"GSE16385_2279_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages (12h): IFNG and TNF [GeneID=3458;7124] versus IL4 [GeneID=3565].","DESCRIPTION_FULL":"Human CD14 positive monocytes were purified from healthy volunteers’ blood and cultured in vitro for 4, 12, 24, 72 hours. While culturing, macrophages were activated alternatively with interleukin-4 (IL-4 100 ng/ml) or classically with interferon-gamma (IFNg 100 ng/ml)+tumor necrosis factor (TNF 50 ng/ml) or left without activation. Simultaneously, macrophages were also treated with vehicle (DMSO:ethanol) or 1mM synthetic PPARg agonist, Rosiglitazone. We used Affymetrix microarrays (U133Plus 2.0) to analyze activation and PPARg-induced gene expression changes."}
{"STANDARD_NAME":"GSE16385_IFNG_TNF_VS_ROSIGLITAZONE_STIM_MACROPHAGE_UP","SYSTEMATIC_NAME":"M8012","ORGANISM":"Homo sapiens","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE16385","EXACT_SOURCE":"GSE16385_2280_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages (12h): IFNG and TNF [GeneID=3458;7124] versus rosiglitazone [PubChem=77999].","DESCRIPTION_FULL":"Human CD14 positive monocytes were purified from healthy volunteers’ blood and cultured in vitro for 4, 12, 24, 72 hours. While culturing, macrophages were activated alternatively with interleukin-4 (IL-4 100 ng/ml) or classically with interferon-gamma (IFNg 100 ng/ml)+tumor necrosis factor (TNF 50 ng/ml) or left without activation. Simultaneously, macrophages were also treated with vehicle (DMSO:ethanol) or 1mM synthetic PPARg agonist, Rosiglitazone. We used Affymetrix microarrays (U133Plus 2.0) to analyze activation and PPARg-induced gene expression changes."}
{"STANDARD_NAME":"GSE16385_IFNG_TNF_VS_ROSIGLITAZONE_STIM_MACROPHAGE_DN","SYSTEMATIC_NAME":"M8016","ORGANISM":"Homo sapiens","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE16385","EXACT_SOURCE":"GSE16385_2280_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages (12h): IFNG and TNF [GeneID=3458;7124] versus rosiglitazone [PubChem=77999].","DESCRIPTION_FULL":"Human CD14 positive monocytes were purified from healthy volunteers’ blood and cultured in vitro for 4, 12, 24, 72 hours. While culturing, macrophages were activated alternatively with interleukin-4 (IL-4 100 ng/ml) or classically with interferon-gamma (IFNg 100 ng/ml)+tumor necrosis factor (TNF 50 ng/ml) or left without activation. Simultaneously, macrophages were also treated with vehicle (DMSO:ethanol) or 1mM synthetic PPARg agonist, Rosiglitazone. We used Affymetrix microarrays (U133Plus 2.0) to analyze activation and PPARg-induced gene expression changes."}
{"STANDARD_NAME":"GSE16385_IL4_VS_ROSIGLITAZONE_STIM_MACROPHAGE_UP","SYSTEMATIC_NAME":"M8017","ORGANISM":"Homo sapiens","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE16385","EXACT_SOURCE":"GSE16385_2281_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages (12h): IL4 [GeneID=3565] versus rosiglitazone [PubChem=77999].","DESCRIPTION_FULL":"Human CD14 positive monocytes were purified from healthy volunteers’ blood and cultured in vitro for 4, 12, 24, 72 hours. While culturing, macrophages were activated alternatively with interleukin-4 (IL-4 100 ng/ml) or classically with interferon-gamma (IFNg 100 ng/ml)+tumor necrosis factor (TNF 50 ng/ml) or left without activation. Simultaneously, macrophages were also treated with vehicle (DMSO:ethanol) or 1mM synthetic PPARg agonist, Rosiglitazone. We used Affymetrix microarrays (U133Plus 2.0) to analyze activation and PPARg-induced gene expression changes."}
{"STANDARD_NAME":"GSE16385_IL4_VS_ROSIGLITAZONE_STIM_MACROPHAGE_DN","SYSTEMATIC_NAME":"M8018","ORGANISM":"Homo sapiens","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE16385","EXACT_SOURCE":"GSE16385_2281_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages (12h): IL4 [GeneID=3565] versus rosiglitazone [PubChem=77999].","DESCRIPTION_FULL":"Human CD14 positive monocytes were purified from healthy volunteers’ blood and cultured in vitro for 4, 12, 24, 72 hours. While culturing, macrophages were activated alternatively with interleukin-4 (IL-4 100 ng/ml) or classically with interferon-gamma (IFNg 100 ng/ml)+tumor necrosis factor (TNF 50 ng/ml) or left without activation. Simultaneously, macrophages were also treated with vehicle (DMSO:ethanol) or 1mM synthetic PPARg agonist, Rosiglitazone. We used Affymetrix microarrays (U133Plus 2.0) to analyze activation and PPARg-induced gene expression changes."}
{"STANDARD_NAME":"GSE25088_WT_VS_STAT6_KO_MACROPHAGE_ROSIGLITAZONE_STIM_UP","SYSTEMATIC_NAME":"M8019","ORGANISM":"Mus musculus","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE25088","EXACT_SOURCE":"GSE25088_2288_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived macrophages treated with rosiglitazone [PubChem=77999]: wildtype versus STAT6 [GeneID=6778] knockout.","DESCRIPTION_FULL":"C57Bl/6 wild-type and STAT6 KO mice were used to study PPARg and IL-4 signaling. Bone marrow of 3 mice per group was isolated and differentiated to macrophages with M-CSF (20 ng/ml). 20 ng/ml IL-4 was used to induce alternative macrophage activation and 1 uM Rosiglitazone (RSG) was used to activate PPARg. From each mouse 4 samples were generated: 1. M-CSF, 2. M-CSF+RSG, 3. IL-4 and 4. IL-4+RSG. All compounds were added throughout the whole differentiation process, and frech media was added every other day. Control cells were treated with vehicle (DMSO:ethanol). After 10 days, RNA was isolated and gene expression profiles were analyzed using Mouse Genome 430 2.0 microarrays from Affymetrix."}
{"STANDARD_NAME":"GSE16385_IFNG_TNF_VS_UNSTIM_MACROPHAGE_ROSIGLITAZONE_TREATED_UP","SYSTEMATIC_NAME":"M8021","ORGANISM":"Homo sapiens","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE16385","EXACT_SOURCE":"GSE16385_2275_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages (12h): IFNG, TNF [GeneID=3458;7124] and rosiglitazone [PubChem=77999] versus rosiglitazone [PubChem=77999].","DESCRIPTION_FULL":"Human CD14 positive monocytes were purified from healthy volunteers’ blood and cultured in vitro for 4, 12, 24, 72 hours. While culturing, macrophages were activated alternatively with interleukin-4 (IL-4 100 ng/ml) or classically with interferon-gamma (IFNg 100 ng/ml)+tumor necrosis factor (TNF 50 ng/ml) or left without activation. Simultaneously, macrophages were also treated with vehicle (DMSO:ethanol) or 1mM synthetic PPARg agonist, Rosiglitazone. We used Affymetrix microarrays (U133Plus 2.0) to analyze activation and PPARg-induced gene expression changes."}
{"STANDARD_NAME":"GSE25088_CTRL_VS_IL4_AND_ROSIGLITAZONE_STIM_STAT6_KO_MACROPHAGE_UP","SYSTEMATIC_NAME":"M8022","ORGANISM":"Mus musculus","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE25088","EXACT_SOURCE":"GSE25088_2295_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived macrophages with STAT6 [GeneID=6778] knockout: control versus treated with IL4[GeneID=3565] and rosiglitazone [PubChem=77999].","DESCRIPTION_FULL":"C57Bl/6 wild-type and STAT6 KO mice were used to study PPARg and IL-4 signaling. Bone marrow of 3 mice per group was isolated and differentiated to macrophages with M-CSF (20 ng/ml). 20 ng/ml IL-4 was used to induce alternative macrophage activation and 1 uM Rosiglitazone (RSG) was used to activate PPARg. From each mouse 4 samples were generated: 1. M-CSF, 2. M-CSF+RSG, 3. IL-4 and 4. IL-4+RSG. All compounds were added throughout the whole differentiation process, and frech media was added every other day. Control cells were treated with vehicle (DMSO:ethanol). After 10 days, RNA was isolated and gene expression profiles were analyzed using Mouse Genome 430 2.0 microarrays from Affymetrix."}
{"STANDARD_NAME":"GSE25088_CTRL_VS_IL4_AND_ROSIGLITAZONE_STIM_STAT6_KO_MACROPHAGE_DN","SYSTEMATIC_NAME":"M8024","ORGANISM":"Mus musculus","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE25088","EXACT_SOURCE":"GSE25088_2295_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived macrophages with STAT6 [GeneID=6778] knockout: control versus treated with IL4[GeneID=3565] and rosiglitazone [PubChem=77999].","DESCRIPTION_FULL":"C57Bl/6 wild-type and STAT6 KO mice were used to study PPARg and IL-4 signaling. Bone marrow of 3 mice per group was isolated and differentiated to macrophages with M-CSF (20 ng/ml). 20 ng/ml IL-4 was used to induce alternative macrophage activation and 1 uM Rosiglitazone (RSG) was used to activate PPARg. From each mouse 4 samples were generated: 1. M-CSF, 2. M-CSF+RSG, 3. IL-4 and 4. IL-4+RSG. All compounds were added throughout the whole differentiation process, and frech media was added every other day. Control cells were treated with vehicle (DMSO:ethanol). After 10 days, RNA was isolated and gene expression profiles were analyzed using Mouse Genome 430 2.0 microarrays from Affymetrix."}
{"STANDARD_NAME":"GSE16385_ROSIGLITAZONE_IL4_VS_IFNG_TNF_STIM_MACROPHAGE_DN","SYSTEMATIC_NAME":"M8025","ORGANISM":"Homo sapiens","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE16385","EXACT_SOURCE":"GSE16385_2276_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages (12h): rosiglitazone [PubChem=77999] and IL4 [GeneID=3565] versus IFNG and TNF [GeneID=3458;7124].","DESCRIPTION_FULL":"Human CD14 positive monocytes were purified from healthy volunteers’ blood and cultured in vitro for 4, 12, 24, 72 hours. While culturing, macrophages were activated alternatively with interleukin-4 (IL-4 100 ng/ml) or classically with interferon-gamma (IFNg 100 ng/ml)+tumor necrosis factor (TNF 50 ng/ml) or left without activation. Simultaneously, macrophages were also treated with vehicle (DMSO:ethanol) or 1mM synthetic PPARg agonist, Rosiglitazone. We used Affymetrix microarrays (U133Plus 2.0) to analyze activation and PPARg-induced gene expression changes."}
{"STANDARD_NAME":"GSE16385_ROSIGLITAZONE_IL4_VS_IL4_ALONE_STIM_MACROPHAGE_12H_UP","SYSTEMATIC_NAME":"M8026","ORGANISM":"Homo sapiens","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE16385","EXACT_SOURCE":"GSE16385_2277_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages (12h): rosiglitazone [PubChem=77999] and IL4 [GeneID=3565] versus IL4 [GeneID=3565].","DESCRIPTION_FULL":"Human CD14 positive monocytes were purified from healthy volunteers’ blood and cultured in vitro for 4, 12, 24, 72 hours. While culturing, macrophages were activated alternatively with interleukin-4 (IL-4 100 ng/ml) or classically with interferon-gamma (IFNg 100 ng/ml)+tumor necrosis factor (TNF 50 ng/ml) or left without activation. Simultaneously, macrophages were also treated with vehicle (DMSO:ethanol) or 1mM synthetic PPARg agonist, Rosiglitazone. We used Affymetrix microarrays (U133Plus 2.0) to analyze activation and PPARg-induced gene expression changes."}
{"STANDARD_NAME":"GSE16385_ROSIGLITAZONE_IL4_VS_IL4_ALONE_STIM_MACROPHAGE_12H_DN","SYSTEMATIC_NAME":"M8027","ORGANISM":"Homo sapiens","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE16385","EXACT_SOURCE":"GSE16385_2277_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages (12h): rosiglitazone [PubChem=77999] and IL4 [GeneID=3565] versus IL4 [GeneID=3565].","DESCRIPTION_FULL":"Human CD14 positive monocytes were purified from healthy volunteers’ blood and cultured in vitro for 4, 12, 24, 72 hours. While culturing, macrophages were activated alternatively with interleukin-4 (IL-4 100 ng/ml) or classically with interferon-gamma (IFNg 100 ng/ml)+tumor necrosis factor (TNF 50 ng/ml) or left without activation. Simultaneously, macrophages were also treated with vehicle (DMSO:ethanol) or 1mM synthetic PPARg agonist, Rosiglitazone. We used Affymetrix microarrays (U133Plus 2.0) to analyze activation and PPARg-induced gene expression changes."}
{"STANDARD_NAME":"GSE25088_WT_VS_STAT6_KO_MACROPHAGE_IL4_STIM_UP","SYSTEMATIC_NAME":"M8028","ORGANISM":"Mus musculus","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE25088","EXACT_SOURCE":"GSE25088_2287_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in bone marrow-derived macrophages treated with IL4 [GeneID=3565]: wildtype versus STAT6 [GeneID=6778] knockout.","DESCRIPTION_FULL":"C57Bl/6 wild-type and STAT6 KO mice were used to study PPARg and IL-4 signaling. Bone marrow of 3 mice per group was isolated and differentiated to macrophages with M-CSF (20 ng/ml). 20 ng/ml IL-4 was used to induce alternative macrophage activation and 1 uM Rosiglitazone (RSG) was used to activate PPARg. From each mouse 4 samples were generated: 1. M-CSF, 2. M-CSF+RSG, 3. IL-4 and 4. IL-4+RSG. All compounds were added throughout the whole differentiation process, and frech media was added every other day. Control cells were treated with vehicle (DMSO:ethanol). After 10 days, RNA was isolated and gene expression profiles were analyzed using Mouse Genome 430 2.0 microarrays from Affymetrix."}
{"STANDARD_NAME":"GSE25088_WT_VS_STAT6_KO_MACROPHAGE_IL4_STIM_DN","SYSTEMATIC_NAME":"M8029","ORGANISM":"Mus musculus","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE25088","EXACT_SOURCE":"GSE25088_2287_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived macrophages treated with IL4 [GeneID=3565]: wildtype versus STAT6 [GeneID=6778] knockout.","DESCRIPTION_FULL":"C57Bl/6 wild-type and STAT6 KO mice were used to study PPARg and IL-4 signaling. Bone marrow of 3 mice per group was isolated and differentiated to macrophages with M-CSF (20 ng/ml). 20 ng/ml IL-4 was used to induce alternative macrophage activation and 1 uM Rosiglitazone (RSG) was used to activate PPARg. From each mouse 4 samples were generated: 1. M-CSF, 2. M-CSF+RSG, 3. IL-4 and 4. IL-4+RSG. All compounds were added throughout the whole differentiation process, and frech media was added every other day. Control cells were treated with vehicle (DMSO:ethanol). After 10 days, RNA was isolated and gene expression profiles were analyzed using Mouse Genome 430 2.0 microarrays from Affymetrix."}
{"STANDARD_NAME":"GSE16385_ROSIGLITAZONE_IL4_VS_IFNG_TNF_STIM_MACROPHAGE_UP","SYSTEMATIC_NAME":"M8030","ORGANISM":"Homo sapiens","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE16385","EXACT_SOURCE":"GSE16385_2276_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages (12h): rosiglitazone [PubChem=77999] and IL4 [GeneID=3565] versus IFNG and TNF [GeneID=3458;7124].","DESCRIPTION_FULL":"Human CD14 positive monocytes were purified from healthy volunteers’ blood and cultured in vitro for 4, 12, 24, 72 hours. While culturing, macrophages were activated alternatively with interleukin-4 (IL-4 100 ng/ml) or classically with interferon-gamma (IFNg 100 ng/ml)+tumor necrosis factor (TNF 50 ng/ml) or left without activation. Simultaneously, macrophages were also treated with vehicle (DMSO:ethanol) or 1mM synthetic PPARg agonist, Rosiglitazone. We used Affymetrix microarrays (U133Plus 2.0) to analyze activation and PPARg-induced gene expression changes."}
{"STANDARD_NAME":"GSE25088_WT_VS_STAT6_KO_MACROPHAGE_DN","SYSTEMATIC_NAME":"M8031","ORGANISM":"Mus musculus","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE25088","EXACT_SOURCE":"GSE25088_2286_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in bone marrow-derived macrophages: wildtype versus STAT6 [GeneID=6778] knockout.","DESCRIPTION_FULL":"C57Bl/6 wild-type and STAT6 KO mice were used to study PPARg and IL-4 signaling. Bone marrow of 3 mice per group was isolated and differentiated to macrophages with M-CSF (20 ng/ml). 20 ng/ml IL-4 was used to induce alternative macrophage activation and 1 uM Rosiglitazone (RSG) was used to activate PPARg. From each mouse 4 samples were generated: 1. M-CSF, 2. M-CSF+RSG, 3. IL-4 and 4. IL-4+RSG. All compounds were added throughout the whole differentiation process, and frech media was added every other day. Control cells were treated with vehicle (DMSO:ethanol). After 10 days, RNA was isolated and gene expression profiles were analyzed using Mouse Genome 430 2.0 microarrays from Affymetrix."}
{"STANDARD_NAME":"GSE16385_IFNG_TNF_VS_UNSTIM_MACROPHAGE_ROSIGLITAZONE_TREATED_DN","SYSTEMATIC_NAME":"M8032","ORGANISM":"Homo sapiens","PMID":"21093321","AUTHORS":"Szanto A,Balint BL,Nagy ZS,Barta E,Dezso B,Pap A,Szeles L,Poliska S,Oros M,Evans RM,Barak Y,Schwabe J,Nagy L","GEOID":"GSE16385","EXACT_SOURCE":"GSE16385_2275_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages (12h): IFNG, TNF [GeneID=3458;7124] and rosiglitazone [PubChem=77999] versus rosiglitazone [PubChem=77999].","DESCRIPTION_FULL":"Human CD14 positive monocytes were purified from healthy volunteers’ blood and cultured in vitro for 4, 12, 24, 72 hours. While culturing, macrophages were activated alternatively with interleukin-4 (IL-4 100 ng/ml) or classically with interferon-gamma (IFNg 100 ng/ml)+tumor necrosis factor (TNF 50 ng/ml) or left without activation. Simultaneously, macrophages were also treated with vehicle (DMSO:ethanol) or 1mM synthetic PPARg agonist, Rosiglitazone. We used Affymetrix microarrays (U133Plus 2.0) to analyze activation and PPARg-induced gene expression changes."}
{"STANDARD_NAME":"GSE17301_ACD3_ACD28_VS_ACD3_ACD28_AND_IFNA5_STIM_CD8_TCELL_DN","SYSTEMATIC_NAME":"M8033","ORGANISM":"Homo sapiens","PMID":"21108462","AUTHORS":"Hervas-Stubbs S,Riezu-Boj JI,Gonzalez I,Mancheño U,Dubrot J,Azpilicueta A,Gabari I,Palazon A,Aranguren A,Ruiz J,Prieto J,Larrea E,Melero I","GEOID":"GSE17301","EXACT_SOURCE":"GSE17301_3430_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD8 T cells activated by anti-CD3 and anti-CD28 versus those stimulated by IFNA5 [GeneID=3442].","DESCRIPTION_FULL":"IFN alpha mediated gene expression pattern. The effect of IFN alpha on human CD8 T cells responding to antigen (signal 1) and costimulatory signals (signal 2) provided by beads coated with anti-CD3 and anti-CD28 mAbs. This analysis examined the effects of IFN alpha on human CD8 T cells responding to antigen (signal 1) and costimulatory signals (signal 2) provided by beads coated with anti-CD3 and anti-CD28 mAbs. Magnetically sorted untouched CD8+CD45R0- T cells from three different donors were unstimulated or stimulated with IFNa2b or with anti-CD3/CD28 Beads alone or along with IFNa2b or IFNa5 for 48 hours. Individual mRNA samples were analyzed using HG-U133A 2.0 array gene chips. "}
{"STANDARD_NAME":"GSE17301_CTRL_VS_48H_IFNA2_STIM_CD8_TCELL_DN","SYSTEMATIC_NAME":"M8034","ORGANISM":"Homo sapiens","PMID":"21108462","AUTHORS":"Hervas-Stubbs S,Riezu-Boj JI,Gonzalez I,Mancheño U,Dubrot J,Azpilicueta A,Gabari I,Palazon A,Aranguren A,Ruiz J,Prieto J,Larrea E,Melero I","GEOID":"GSE17301","EXACT_SOURCE":"GSE17301_3424_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD8 T cells: control versus stimulated by IFNA2 [GeneID=3440].","DESCRIPTION_FULL":"IFN alpha mediated gene expression pattern. The effect of IFN alpha on human CD8 T cells responding to antigen (signal 1) and costimulatory signals (signal 2) provided by beads coated with anti-CD3 and anti-CD28 mAbs. This analysis examined the effects of IFN alpha on human CD8 T cells responding to antigen (signal 1) and costimulatory signals (signal 2) provided by beads coated with anti-CD3 and anti-CD28 mAbs. Magnetically sorted untouched CD8+CD45R0- T cells from three different donors were unstimulated or stimulated with IFNa2b or with anti-CD3/CD28 Beads alone or along with IFNa2b or IFNa5 for 48 hours. Individual mRNA samples were analyzed using HG-U133A 2.0 array gene chips. "}
{"STANDARD_NAME":"GSE17301_ACD3_ACD28_VS_ACD3_ACD28_AND_IFNA2_STIM_CD8_TCELL_UP","SYSTEMATIC_NAME":"M8035","ORGANISM":"Homo sapiens","PMID":"21108462","AUTHORS":"Hervas-Stubbs S,Riezu-Boj JI,Gonzalez I,Mancheño U,Dubrot J,Azpilicueta A,Gabari I,Palazon A,Aranguren A,Ruiz J,Prieto J,Larrea E,Melero I","GEOID":"GSE17301","EXACT_SOURCE":"GSE17301_3429_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD8 T cells activated by anti-CD3 and anti-CD28 versus those stimulated by IFNA2 [GeneID=3440].","DESCRIPTION_FULL":"IFN alpha mediated gene expression pattern. The effect of IFN alpha on human CD8 T cells responding to antigen (signal 1) and costimulatory signals (signal 2) provided by beads coated with anti-CD3 and anti-CD28 mAbs. This analysis examined the effects of IFN alpha on human CD8 T cells responding to antigen (signal 1) and costimulatory signals (signal 2) provided by beads coated with anti-CD3 and anti-CD28 mAbs. Magnetically sorted untouched CD8+CD45R0- T cells from three different donors were unstimulated or stimulated with IFNa2b or with anti-CD3/CD28 Beads alone or along with IFNa2b or IFNa5 for 48 hours. Individual mRNA samples were analyzed using HG-U133A 2.0 array gene chips. "}
{"STANDARD_NAME":"GSE17301_IFNA2_VS_IFNA5_STIM_ACD3_ACD28_ACT_CD8_TCELL_UP","SYSTEMATIC_NAME":"M8036","ORGANISM":"Homo sapiens","PMID":"21108462","AUTHORS":"Hervas-Stubbs S,Riezu-Boj JI,Gonzalez I,Mancheño U,Dubrot J,Azpilicueta A,Gabari I,Palazon A,Aranguren A,Ruiz J,Prieto J,Larrea E,Melero I","GEOID":"GSE17301","EXACT_SOURCE":"GSE17301_3431_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD8 T cells stimulated by IFNA2 [GeneID=3440] versus CD8 T cells stimulated by IFNA5 [GeneID=3442] and activated by anti-CD3 and anti-CD28.","DESCRIPTION_FULL":"IFN alpha mediated gene expression pattern. The effect of IFN alpha on human CD8 T cells responding to antigen (signal 1) and costimulatory signals (signal 2) provided by beads coated with anti-CD3 and anti-CD28 mAbs. This analysis examined the effects of IFN alpha on human CD8 T cells responding to antigen (signal 1) and costimulatory signals (signal 2) provided by beads coated with anti-CD3 and anti-CD28 mAbs. Magnetically sorted untouched CD8+CD45R0- T cells from three different donors were unstimulated or stimulated with IFNa2b or with anti-CD3/CD28 Beads alone or along with IFNa2b or IFNa5 for 48 hours. Individual mRNA samples were analyzed using HG-U133A 2.0 array gene chips. "}
{"STANDARD_NAME":"GSE17301_IFNA2_VS_IFNA5_STIM_ACD3_ACD28_ACT_CD8_TCELL_DN","SYSTEMATIC_NAME":"M8037","ORGANISM":"Homo sapiens","PMID":"21108462","AUTHORS":"Hervas-Stubbs S,Riezu-Boj JI,Gonzalez I,Mancheño U,Dubrot J,Azpilicueta A,Gabari I,Palazon A,Aranguren A,Ruiz J,Prieto J,Larrea E,Melero I","GEOID":"GSE17301","EXACT_SOURCE":"GSE17301_3431_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD8 T cells stimulated by IFNA2 [GeneID=3440] versus CD8 T cells stimulated by IFNA5 [GeneID=3442] and activated by anti-CD3 and anti-CD28.","DESCRIPTION_FULL":"IFN alpha mediated gene expression pattern. The effect of IFN alpha on human CD8 T cells responding to antigen (signal 1) and costimulatory signals (signal 2) provided by beads coated with anti-CD3 and anti-CD28 mAbs. This analysis examined the effects of IFN alpha on human CD8 T cells responding to antigen (signal 1) and costimulatory signals (signal 2) provided by beads coated with anti-CD3 and anti-CD28 mAbs. Magnetically sorted untouched CD8+CD45R0- T cells from three different donors were unstimulated or stimulated with IFNa2b or with anti-CD3/CD28 Beads alone or along with IFNa2b or IFNa5 for 48 hours. Individual mRNA samples were analyzed using HG-U133A 2.0 array gene chips. "}
{"STANDARD_NAME":"GSE17301_CTRL_VS_48H_IFNA2_STIM_CD8_TCELL_UP","SYSTEMATIC_NAME":"M8038","ORGANISM":"Homo sapiens","PMID":"21108462","AUTHORS":"Hervas-Stubbs S,Riezu-Boj JI,Gonzalez I,Mancheño U,Dubrot J,Azpilicueta A,Gabari I,Palazon A,Aranguren A,Ruiz J,Prieto J,Larrea E,Melero I","GEOID":"GSE17301","EXACT_SOURCE":"GSE17301_3424_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD8 T cells: control versus stimulated by IFNA2 [GeneID=3440].","DESCRIPTION_FULL":"IFN alpha mediated gene expression pattern. The effect of IFN alpha on human CD8 T cells responding to antigen (signal 1) and costimulatory signals (signal 2) provided by beads coated with anti-CD3 and anti-CD28 mAbs. This analysis examined the effects of IFN alpha on human CD8 T cells responding to antigen (signal 1) and costimulatory signals (signal 2) provided by beads coated with anti-CD3 and anti-CD28 mAbs. Magnetically sorted untouched CD8+CD45R0- T cells from three different donors were unstimulated or stimulated with IFNa2b or with anti-CD3/CD28 Beads alone or along with IFNa2b or IFNa5 for 48 hours. Individual mRNA samples were analyzed using HG-U133A 2.0 array gene chips. "}
{"STANDARD_NAME":"GSE17301_CTRL_VS_48H_ACD3_ACD28_IFNA2_STIM_CD8_TCELL_DN","SYSTEMATIC_NAME":"M8039","ORGANISM":"Homo sapiens","PMID":"21108462","AUTHORS":"Hervas-Stubbs S,Riezu-Boj JI,Gonzalez I,Mancheño U,Dubrot J,Azpilicueta A,Gabari I,Palazon A,Aranguren A,Ruiz J,Prieto J,Larrea E,Melero I","GEOID":"GSE17301","EXACT_SOURCE":"GSE17301_3426_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD8 T cells: control versus stimulated by IFNA2 [GeneID=3440] and activated by anti-CD3 and anti-CD28.","DESCRIPTION_FULL":"IFN alpha mediated gene expression pattern. The effect of IFN alpha on human CD8 T cells responding to antigen (signal 1) and costimulatory signals (signal 2) provided by beads coated with anti-CD3 and anti-CD28 mAbs. This analysis examined the effects of IFN alpha on human CD8 T cells responding to antigen (signal 1) and costimulatory signals (signal 2) provided by beads coated with anti-CD3 and anti-CD28 mAbs. Magnetically sorted untouched CD8+CD45R0- T cells from three different donors were unstimulated or stimulated with IFNa2b or with anti-CD3/CD28 Beads alone or along with IFNa2b or IFNa5 for 48 hours. Individual mRNA samples were analyzed using HG-U133A 2.0 array gene chips. "}
{"STANDARD_NAME":"GSE17301_ACD3_ACD28_VS_ACD3_ACD28_AND_IFNA2_STIM_CD8_TCELL_DN","SYSTEMATIC_NAME":"M8040","ORGANISM":"Homo sapiens","PMID":"21108462","AUTHORS":"Hervas-Stubbs S,Riezu-Boj JI,Gonzalez I,Mancheño U,Dubrot J,Azpilicueta A,Gabari I,Palazon A,Aranguren A,Ruiz J,Prieto J,Larrea E,Melero I","GEOID":"GSE17301","EXACT_SOURCE":"GSE17301_3429_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD8 T cells activated by anti-CD3 and anti-CD28 versus those stimulated by IFNA2 [GeneID=3440].","DESCRIPTION_FULL":"IFN alpha mediated gene expression pattern. The effect of IFN alpha on human CD8 T cells responding to antigen (signal 1) and costimulatory signals (signal 2) provided by beads coated with anti-CD3 and anti-CD28 mAbs. This analysis examined the effects of IFN alpha on human CD8 T cells responding to antigen (signal 1) and costimulatory signals (signal 2) provided by beads coated with anti-CD3 and anti-CD28 mAbs. Magnetically sorted untouched CD8+CD45R0- T cells from three different donors were unstimulated or stimulated with IFNa2b or with anti-CD3/CD28 Beads alone or along with IFNa2b or IFNa5 for 48 hours. Individual mRNA samples were analyzed using HG-U133A 2.0 array gene chips. "}
{"STANDARD_NAME":"GSE17301_ACD3_ACD28_VS_ACD3_ACD28_AND_IFNA5_STIM_CD8_TCELL_UP","SYSTEMATIC_NAME":"M8041","ORGANISM":"Homo sapiens","PMID":"21108462","AUTHORS":"Hervas-Stubbs S,Riezu-Boj JI,Gonzalez I,Mancheño U,Dubrot J,Azpilicueta A,Gabari I,Palazon A,Aranguren A,Ruiz J,Prieto J,Larrea E,Melero I","GEOID":"GSE17301","EXACT_SOURCE":"GSE17301_3430_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD8 T cells activated by anti-CD3 and anti-CD28 versus those stimulated by IFNA5 [GeneID=3442].","DESCRIPTION_FULL":"IFN alpha mediated gene expression pattern. The effect of IFN alpha on human CD8 T cells responding to antigen (signal 1) and costimulatory signals (signal 2) provided by beads coated with anti-CD3 and anti-CD28 mAbs. This analysis examined the effects of IFN alpha on human CD8 T cells responding to antigen (signal 1) and costimulatory signals (signal 2) provided by beads coated with anti-CD3 and anti-CD28 mAbs. Magnetically sorted untouched CD8+CD45R0- T cells from three different donors were unstimulated or stimulated with IFNa2b or with anti-CD3/CD28 Beads alone or along with IFNa2b or IFNa5 for 48 hours. Individual mRNA samples were analyzed using HG-U133A 2.0 array gene chips. "}
{"STANDARD_NAME":"GSE17301_IFNA2_VS_IFNA2_AND_ACD3_ACD28_STIM_CD8_TCELL_UP","SYSTEMATIC_NAME":"M8042","ORGANISM":"Homo sapiens","PMID":"21108462","AUTHORS":"Hervas-Stubbs S,Riezu-Boj JI,Gonzalez I,Mancheño U,Dubrot J,Azpilicueta A,Gabari I,Palazon A,Aranguren A,Ruiz J,Prieto J,Larrea E,Melero I","GEOID":"GSE17301","EXACT_SOURCE":"GSE17301_3428_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD8 T cells stimulated by IFNA2 [GeneID=3440] versus those activated by anti-CD3 and anti-CD28.","DESCRIPTION_FULL":"IFN alpha mediated gene expression pattern. The effect of IFN alpha on human CD8 T cells responding to antigen (signal 1) and costimulatory signals (signal 2) provided by beads coated with anti-CD3 and anti-CD28 mAbs. This analysis examined the effects of IFN alpha on human CD8 T cells responding to antigen (signal 1) and costimulatory signals (signal 2) provided by beads coated with anti-CD3 and anti-CD28 mAbs. Magnetically sorted untouched CD8+CD45R0- T cells from three different donors were unstimulated or stimulated with IFNa2b or with anti-CD3/CD28 Beads alone or along with IFNa2b or IFNa5 for 48 hours. Individual mRNA samples were analyzed using HG-U133A 2.0 array gene chips. "}
{"STANDARD_NAME":"GSE17301_IFNA2_VS_IFNA2_AND_ACD3_ACD28_STIM_CD8_TCELL_DN","SYSTEMATIC_NAME":"M8044","ORGANISM":"Homo sapiens","PMID":"21108462","AUTHORS":"Hervas-Stubbs S,Riezu-Boj JI,Gonzalez I,Mancheño U,Dubrot J,Azpilicueta A,Gabari I,Palazon A,Aranguren A,Ruiz J,Prieto J,Larrea E,Melero I","GEOID":"GSE17301","EXACT_SOURCE":"GSE17301_3428_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD8 T cells stimulated by IFNA2 [GeneID=3440] versus those activated by anti-CD3 and anti-CD28.","DESCRIPTION_FULL":"IFN alpha mediated gene expression pattern. The effect of IFN alpha on human CD8 T cells responding to antigen (signal 1) and costimulatory signals (signal 2) provided by beads coated with anti-CD3 and anti-CD28 mAbs. This analysis examined the effects of IFN alpha on human CD8 T cells responding to antigen (signal 1) and costimulatory signals (signal 2) provided by beads coated with anti-CD3 and anti-CD28 mAbs. Magnetically sorted untouched CD8+CD45R0- T cells from three different donors were unstimulated or stimulated with IFNa2b or with anti-CD3/CD28 Beads alone or along with IFNa2b or IFNa5 for 48 hours. Individual mRNA samples were analyzed using HG-U133A 2.0 array gene chips. "}
{"STANDARD_NAME":"GSE17301_CTRL_VS_48H_ACD3_ACD28_STIM_CD8_TCELL_UP","SYSTEMATIC_NAME":"M8045","ORGANISM":"Homo sapiens","PMID":"21108462","AUTHORS":"Hervas-Stubbs S,Riezu-Boj JI,Gonzalez I,Mancheño U,Dubrot J,Azpilicueta A,Gabari I,Palazon A,Aranguren A,Ruiz J,Prieto J,Larrea E,Melero I","GEOID":"GSE17301","EXACT_SOURCE":"GSE17301_3425_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD8 T lymphocytes: control versus activated by anti-CD3 and anti-CD28.","DESCRIPTION_FULL":"IFN alpha mediated gene expression pattern. The effect of IFN alpha on human CD8 T cells responding to antigen (signal 1) and costimulatory signals (signal 2) provided by beads coated with anti-CD3 and anti-CD28 mAbs. This analysis examined the effects of IFN alpha on human CD8 T cells responding to antigen (signal 1) and costimulatory signals (signal 2) provided by beads coated with anti-CD3 and anti-CD28 mAbs. Magnetically sorted untouched CD8+CD45R0- T cells from three different donors were unstimulated or stimulated with IFNa2b or with anti-CD3/CD28 Beads alone or along with IFNa2b or IFNa5 for 48 hours. Individual mRNA samples were analyzed using HG-U133A 2.0 array gene chips. "}
{"STANDARD_NAME":"GSE17301_CTRL_VS_48H_ACD3_ACD28_STIM_CD8_TCELL_DN","SYSTEMATIC_NAME":"M8046","ORGANISM":"Homo sapiens","PMID":"21108462","AUTHORS":"Hervas-Stubbs S,Riezu-Boj JI,Gonzalez I,Mancheño U,Dubrot J,Azpilicueta A,Gabari I,Palazon A,Aranguren A,Ruiz J,Prieto J,Larrea E,Melero I","GEOID":"GSE17301","EXACT_SOURCE":"GSE17301_3425_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD8 T lymphocytes: control versus activated by anti-CD3 and anti-CD28.","DESCRIPTION_FULL":"IFN alpha mediated gene expression pattern. The effect of IFN alpha on human CD8 T cells responding to antigen (signal 1) and costimulatory signals (signal 2) provided by beads coated with anti-CD3 and anti-CD28 mAbs. This analysis examined the effects of IFN alpha on human CD8 T cells responding to antigen (signal 1) and costimulatory signals (signal 2) provided by beads coated with anti-CD3 and anti-CD28 mAbs. Magnetically sorted untouched CD8+CD45R0- T cells from three different donors were unstimulated or stimulated with IFNa2b or with anti-CD3/CD28 Beads alone or along with IFNa2b or IFNa5 for 48 hours. Individual mRNA samples were analyzed using HG-U133A 2.0 array gene chips. "}
{"STANDARD_NAME":"GSE17301_CTRL_VS_48H_ACD3_ACD28_IFNA5_STIM_CD8_TCELL_DN","SYSTEMATIC_NAME":"M8048","ORGANISM":"Homo sapiens","PMID":"21108462","AUTHORS":"Hervas-Stubbs S,Riezu-Boj JI,Gonzalez I,Mancheño U,Dubrot J,Azpilicueta A,Gabari I,Palazon A,Aranguren A,Ruiz J,Prieto J,Larrea E,Melero I","GEOID":"GSE17301","EXACT_SOURCE":"GSE17301_3427_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in CD8 T cells: control versus stimulated by IFNA5 [GeneID=3442] and activated by anti-CD3 and anti-CD28.","DESCRIPTION_FULL":"IFN alpha mediated gene expression pattern. The effect of IFN alpha on human CD8 T cells responding to antigen (signal 1) and costimulatory signals (signal 2) provided by beads coated with anti-CD3 and anti-CD28 mAbs. This analysis examined the effects of IFN alpha on human CD8 T cells responding to antigen (signal 1) and costimulatory signals (signal 2) provided by beads coated with anti-CD3 and anti-CD28 mAbs. Magnetically sorted untouched CD8+CD45R0- T cells from three different donors were unstimulated or stimulated with IFNa2b or with anti-CD3/CD28 Beads alone or along with IFNa2b or IFNa5 for 48 hours. Individual mRNA samples were analyzed using HG-U133A 2.0 array gene chips. "}
{"STANDARD_NAME":"GSE17301_CTRL_VS_48H_ACD3_ACD28_IFNA2_STIM_CD8_TCELL_UP","SYSTEMATIC_NAME":"M8049","ORGANISM":"Homo sapiens","PMID":"21108462","AUTHORS":"Hervas-Stubbs S,Riezu-Boj JI,Gonzalez I,Mancheño U,Dubrot J,Azpilicueta A,Gabari I,Palazon A,Aranguren A,Ruiz J,Prieto J,Larrea E,Melero I","GEOID":"GSE17301","EXACT_SOURCE":"GSE17301_3426_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD8 T cells: control versus stimulated by IFNA2 [GeneID=3440] and activated by anti-CD3 and anti-CD28.","DESCRIPTION_FULL":"IFN alpha mediated gene expression pattern. The effect of IFN alpha on human CD8 T cells responding to antigen (signal 1) and costimulatory signals (signal 2) provided by beads coated with anti-CD3 and anti-CD28 mAbs. This analysis examined the effects of IFN alpha on human CD8 T cells responding to antigen (signal 1) and costimulatory signals (signal 2) provided by beads coated with anti-CD3 and anti-CD28 mAbs. Magnetically sorted untouched CD8+CD45R0- T cells from three different donors were unstimulated or stimulated with IFNa2b or with anti-CD3/CD28 Beads alone or along with IFNa2b or IFNa5 for 48 hours. Individual mRNA samples were analyzed using HG-U133A 2.0 array gene chips. "}
{"STANDARD_NAME":"GSE17301_CTRL_VS_48H_ACD3_ACD28_IFNA5_STIM_CD8_TCELL_UP","SYSTEMATIC_NAME":"M8050","ORGANISM":"Homo sapiens","PMID":"21108462","AUTHORS":"Hervas-Stubbs S,Riezu-Boj JI,Gonzalez I,Mancheño U,Dubrot J,Azpilicueta A,Gabari I,Palazon A,Aranguren A,Ruiz J,Prieto J,Larrea E,Melero I","GEOID":"GSE17301","EXACT_SOURCE":"GSE17301_3427_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in CD8 T cells: control versus stimulated by IFNA5 [GeneID=3442] and activated by anti-CD3 and anti-CD28.","DESCRIPTION_FULL":"IFN alpha mediated gene expression pattern. The effect of IFN alpha on human CD8 T cells responding to antigen (signal 1) and costimulatory signals (signal 2) provided by beads coated with anti-CD3 and anti-CD28 mAbs. This analysis examined the effects of IFN alpha on human CD8 T cells responding to antigen (signal 1) and costimulatory signals (signal 2) provided by beads coated with anti-CD3 and anti-CD28 mAbs. Magnetically sorted untouched CD8+CD45R0- T cells from three different donors were unstimulated or stimulated with IFNa2b or with anti-CD3/CD28 Beads alone or along with IFNa2b or IFNa5 for 48 hours. Individual mRNA samples were analyzed using HG-U133A 2.0 array gene chips. "}
{"STANDARD_NAME":"GSE23984_CTRL_VS_HYPOCALEMIC_VITAMIND_ANALOG_TCELL_UP","SYSTEMATIC_NAME":"M8051","ORGANISM":"Homo sapiens","PMID":"21131424","AUTHORS":"Baeke F,Korf H,Overbergh L,Verstuyf A,Thorrez L,Lommel Van L,Waer M,Schuit F,Gysemans C,Mathieu C","GEOID":"GSE23984","EXACT_SOURCE":"GSE23984_3463_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in T cells: control versus TX527 (hypocalemic analog of 25-hydroxyvitamin D3 [PubChem=1593]).","DESCRIPTION_FULL":"Hypocalcemic vitamin D analogs are appealing molecules to exploit the immunomodulatory actions of active vitamin D in vivo. The functional modulation of dendritic cells is regarded as the key mechanism underlying their ability to regulate T cell responses. In contrast, the direct actions of vitamin D and structural analogs on T lymphocytes remain less well characterized. Microarray analysis was performed to gain insight into the direct immunomodulatory actions of TX527, a hypocalcemic vitamin D analog, on human T lymphocytes. Gene expression analysis revealed that TX527 regulated a wide variety of genes involved in different aspects of T cell function, including cellular growth and proliferation, cell death, cellular development, cellular movement and cell-to-cell signalling and interaction. "}
{"STANDARD_NAME":"GSE23984_CTRL_VS_HYPOCALEMIC_VITAMIND_ANALOG_TCELL_DN","SYSTEMATIC_NAME":"M8052","ORGANISM":"Homo sapiens","PMID":"21131424","AUTHORS":"Baeke F,Korf H,Overbergh L,Verstuyf A,Thorrez L,Lommel Van L,Waer M,Schuit F,Gysemans C,Mathieu C","GEOID":"GSE23984","EXACT_SOURCE":"GSE23984_3463_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in T cells: control versus TX527 (hypocalemic analog of 25-hydroxyvitamin D3 [PubChem=1593]).","DESCRIPTION_FULL":"Hypocalcemic vitamin D analogs are appealing molecules to exploit the immunomodulatory actions of active vitamin D in vivo. The functional modulation of dendritic cells is regarded as the key mechanism underlying their ability to regulate T cell responses. In contrast, the direct actions of vitamin D and structural analogs on T lymphocytes remain less well characterized. Microarray analysis was performed to gain insight into the direct immunomodulatory actions of TX527, a hypocalcemic vitamin D analog, on human T lymphocytes. Gene expression analysis revealed that TX527 regulated a wide variety of genes involved in different aspects of T cell function, including cellular growth and proliferation, cell death, cellular development, cellular movement and cell-to-cell signalling and interaction. "}
{"STANDARD_NAME":"GSE24292_WT_VS_PPARG_KO_MACROPHAGE_UP","SYSTEMATIC_NAME":"M8053","ORGANISM":"Mus musculus","PMID":"21135166","AUTHORS":"Roszer T,Menéndez-Gutiérrez MP,Lefterova MI,Alameda D,Núñez V,Lazar MA,Fischer T,Ricote M","GEOID":"GSE24292","EXACT_SOURCE":"GSE24292_2713_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in macrophages: wildtype versus PPARG [GeneID=5468] knockout.","DESCRIPTION_FULL":"PPARg is a nuclear receptor that plays an important role in lipid metabolism, homeostasis and immunity. Microarray analysis of gene expression was performed in macrophages from WT and PPARg KO mice. Differentially expressed genes were selected for further analysis."}
{"STANDARD_NAME":"GSE24292_WT_VS_PPARG_KO_MACROPHAGE_DN","SYSTEMATIC_NAME":"M8054","ORGANISM":"Mus musculus","PMID":"21135166","AUTHORS":"Roszer T,Menéndez-Gutiérrez MP,Lefterova MI,Alameda D,Núñez V,Lazar MA,Fischer T,Ricote M","GEOID":"GSE24292","EXACT_SOURCE":"GSE24292_2713_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in macrophages: wildtype versus PPARG [GeneID=5468] knockout.","DESCRIPTION_FULL":"PPARg is a nuclear receptor that plays an important role in lipid metabolism, homeostasis and immunity. Microarray analysis of gene expression was performed in macrophages from WT and PPARg KO mice. Differentially expressed genes were selected for further analysis."}
{"STANDARD_NAME":"GSE24726_WT_VS_E2_2_KO_PDC_DAY6_POST_DELETION_DN","SYSTEMATIC_NAME":"M8056","ORGANISM":"Mus musculus","PMID":"21145760","AUTHORS":"Ghosh HS,Cisse B,Bunin A,Lewis KL,Reizis B","GEOID":"GSE24726","EXACT_SOURCE":"GSE24726_2454_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in plasmacytoid dendritic cells (6 days after knockout): wildtype versus TCF4 [GeneID=6925] knockout.","DESCRIPTION_FULL":"The interferon-producing plasmacytoid dendritic cells (PDC) share common progenitors with antigen-presenting classical dendritic cells (cDC), yet they possess distinct morphology and molecular features resembling those of lymphocytes. It is unclear whether the unique cell fate of PDC is actively maintained in the steady state. We report that the deletion of transcription factor E2-2 from mature peripheral PDC caused their spontaneous differentiation into cells with cDC properties. This included the loss of PDC markers, increase in MHC class II expression and T cell priming capacity, acquisition of dendritic morphology and induction of cDC signature genes. Genome-wide chromatin immunoprecipitation revealed direct binding of E2-2 to key PDC-specific and lymphoid genes, as well as to certain genes enriched in cDC. Thus, E2-2 actively maintains the cell fate of mature PDC and opposes the “default” cDC fate, in part through direct regulation of lineage-specific gene expression programs."}
{"STANDARD_NAME":"GSE24726_WT_VS_E2_22_KO_PDC_DAY4_POST_DELETION_DN","SYSTEMATIC_NAME":"M8058","ORGANISM":"Mus musculus","PMID":"21145760","AUTHORS":"Ghosh HS,Cisse B,Bunin A,Lewis KL,Reizis B","GEOID":"GSE24726","EXACT_SOURCE":"GSE24726_2453_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in plasmacytoid dendritic cells (4 days after knockout): wildtype versus TCF4 [GeneID=6925] knockout.","DESCRIPTION_FULL":"The interferon-producing plasmacytoid dendritic cells (PDC) share common progenitors with antigen-presenting classical dendritic cells (cDC), yet they possess distinct morphology and molecular features resembling those of lymphocytes. It is unclear whether the unique cell fate of PDC is actively maintained in the steady state. We report that the deletion of transcription factor E2-2 from mature peripheral PDC caused their spontaneous differentiation into cells with cDC properties. This included the loss of PDC markers, increase in MHC class II expression and T cell priming capacity, acquisition of dendritic morphology and induction of cDC signature genes. Genome-wide chromatin immunoprecipitation revealed direct binding of E2-2 to key PDC-specific and lymphoid genes, as well as to certain genes enriched in cDC. Thus, E2-2 actively maintains the cell fate of mature PDC and opposes the “default” cDC fate, in part through direct regulation of lineage-specific gene expression programs."}
{"STANDARD_NAME":"GSE24726_WT_VS_E2_2_KO_PDC_UP","SYSTEMATIC_NAME":"M8060","ORGANISM":"Mus musculus","PMID":"21145760","AUTHORS":"Ghosh HS,Cisse B,Bunin A,Lewis KL,Reizis B","GEOID":"GSE24726","EXACT_SOURCE":"GSE24726_2452_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in plasmacytoid dendritic cells: wildtype versus TCF4 [GeneID=6925] knockout.","DESCRIPTION_FULL":"The interferon-producing plasmacytoid dendritic cells (PDC) share common progenitors with antigen-presenting classical dendritic cells (cDC), yet they possess distinct morphology and molecular features resembling those of lymphocytes. It is unclear whether the unique cell fate of PDC is actively maintained in the steady state. We report that the deletion of transcription factor E2-2 from mature peripheral PDC caused their spontaneous differentiation into cells with cDC properties. This included the loss of PDC markers, increase in MHC class II expression and T cell priming capacity, acquisition of dendritic morphology and induction of cDC signature genes. Genome-wide chromatin immunoprecipitation revealed direct binding of E2-2 to key PDC-specific and lymphoid genes, as well as to certain genes enriched in cDC. Thus, E2-2 actively maintains the cell fate of mature PDC and opposes the “default” cDC fate, in part through direct regulation of lineage-specific gene expression programs."}
{"STANDARD_NAME":"GSE24726_WT_VS_E2_2_KO_PDC_DN","SYSTEMATIC_NAME":"M8061","ORGANISM":"Mus musculus","PMID":"21145760","AUTHORS":"Ghosh HS,Cisse B,Bunin A,Lewis KL,Reizis B","GEOID":"GSE24726","EXACT_SOURCE":"GSE24726_2452_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in plasmacytoid dendritic cells: wildtype versus TCF4 [GeneID=6925] knockout.","DESCRIPTION_FULL":"The interferon-producing plasmacytoid dendritic cells (PDC) share common progenitors with antigen-presenting classical dendritic cells (cDC), yet they possess distinct morphology and molecular features resembling those of lymphocytes. It is unclear whether the unique cell fate of PDC is actively maintained in the steady state. We report that the deletion of transcription factor E2-2 from mature peripheral PDC caused their spontaneous differentiation into cells with cDC properties. This included the loss of PDC markers, increase in MHC class II expression and T cell priming capacity, acquisition of dendritic morphology and induction of cDC signature genes. Genome-wide chromatin immunoprecipitation revealed direct binding of E2-2 to key PDC-specific and lymphoid genes, as well as to certain genes enriched in cDC. Thus, E2-2 actively maintains the cell fate of mature PDC and opposes the “default” cDC fate, in part through direct regulation of lineage-specific gene expression programs."}
{"STANDARD_NAME":"GSE24726_WT_VS_E2_2_KO_PDC_DAY6_POST_DELETION_UP","SYSTEMATIC_NAME":"M8063","ORGANISM":"Mus musculus","PMID":"21145760","AUTHORS":"Ghosh HS,Cisse B,Bunin A,Lewis KL,Reizis B","GEOID":"GSE24726","EXACT_SOURCE":"GSE24726_2454_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in plasmacytoid dendritic cells (6 days after knockout): wildtype versus TCF4 [GeneID=6925] knockout.","DESCRIPTION_FULL":"The interferon-producing plasmacytoid dendritic cells (PDC) share common progenitors with antigen-presenting classical dendritic cells (cDC), yet they possess distinct morphology and molecular features resembling those of lymphocytes. It is unclear whether the unique cell fate of PDC is actively maintained in the steady state. We report that the deletion of transcription factor E2-2 from mature peripheral PDC caused their spontaneous differentiation into cells with cDC properties. This included the loss of PDC markers, increase in MHC class II expression and T cell priming capacity, acquisition of dendritic morphology and induction of cDC signature genes. Genome-wide chromatin immunoprecipitation revealed direct binding of E2-2 to key PDC-specific and lymphoid genes, as well as to certain genes enriched in cDC. Thus, E2-2 actively maintains the cell fate of mature PDC and opposes the “default” cDC fate, in part through direct regulation of lineage-specific gene expression programs."}
{"STANDARD_NAME":"GSE24726_WT_VS_E2_2_KO_PDC_DAY4_POST_DELETION_UP","SYSTEMATIC_NAME":"M8064","ORGANISM":"Mus musculus","PMID":"21145760","AUTHORS":"Ghosh HS,Cisse B,Bunin A,Lewis KL,Reizis B","GEOID":"GSE24726","EXACT_SOURCE":"GSE24726_2453_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in plasmacytoid dendritic cells (4 days after knockout): wildtype versus TCF4 [GeneID=6925] knockout.","DESCRIPTION_FULL":"The interferon-producing plasmacytoid dendritic cells (PDC) share common progenitors with antigen-presenting classical dendritic cells (cDC), yet they possess distinct morphology and molecular features resembling those of lymphocytes. It is unclear whether the unique cell fate of PDC is actively maintained in the steady state. We report that the deletion of transcription factor E2-2 from mature peripheral PDC caused their spontaneous differentiation into cells with cDC properties. This included the loss of PDC markers, increase in MHC class II expression and T cell priming capacity, acquisition of dendritic morphology and induction of cDC signature genes. Genome-wide chromatin immunoprecipitation revealed direct binding of E2-2 to key PDC-specific and lymphoid genes, as well as to certain genes enriched in cDC. Thus, E2-2 actively maintains the cell fate of mature PDC and opposes the “default” cDC fate, in part through direct regulation of lineage-specific gene expression programs."}
{"STANDARD_NAME":"GSE22282_HYPOXIA_VS_NORMOXIA_MYELOID_DC_DN","SYSTEMATIC_NAME":"M8065","ORGANISM":"Homo sapiens","PMID":"21148811","AUTHORS":"Bosco MC,Pierobon D,Blengio F,Raggi F,Vanni C,Gattorno M,Eva A,Novelli F,Cappello P,Giovarelli M,Varesio L","GEOID":"GSE22282","EXACT_SOURCE":"GSE22282_3498_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in myeloid dendritic cells: hypoxia versus normoxia.","DESCRIPTION_FULL":"Dendritic cells (DCs) are professional antigen-presenting cells whose activity is intrinsically linked to the microenvironment. Hypoxia is a condition of low oxygen tension occurring in inflammatory tissues that creates a special microenvironment conditioning cell physiology. We studied the effects of hypoxia on the differentiation of human monocytes into DCs and maturation into mature DCs. Mature DCs were differentiated in vitro from human monocytes under normoxic or hypoxic conditions and the gene expression profile was determined."}
{"STANDARD_NAME":"GSE22282_HYPOXIA_VS_NORMOXIA_MYELOID_DC_UP","SYSTEMATIC_NAME":"M8068","ORGANISM":"Homo sapiens","PMID":"21148811","AUTHORS":"Bosco MC,Pierobon D,Blengio F,Raggi F,Vanni C,Gattorno M,Eva A,Novelli F,Cappello P,Giovarelli M,Varesio L","GEOID":"GSE22282","EXACT_SOURCE":"GSE22282_3498_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in myeloid dendritic cells: hypoxia versus normoxia.","DESCRIPTION_FULL":"Dendritic cells (DCs) are professional antigen-presenting cells whose activity is intrinsically linked to the microenvironment. Hypoxia is a condition of low oxygen tension occurring in inflammatory tissues that creates a special microenvironment conditioning cell physiology. We studied the effects of hypoxia on the differentiation of human monocytes into DCs and maturation into mature DCs. Mature DCs were differentiated in vitro from human monocytes under normoxic or hypoxic conditions and the gene expression profile was determined."}
{"STANDARD_NAME":"GSE25085_FETAL_LIVER_VS_ADULT_BM_SP4_THYMIC_IMPLANT_DN","SYSTEMATIC_NAME":"M8069","ORGANISM":"Homo sapiens","PMID":"21164017","AUTHORS":"Mold JE,Venkatasubrahmanyam S,Burt TD,Michaëlsson J,Rivera JM,Galkina SA,Weinberg K,Stoddart CA,McCune JM","GEOID":"GSE25085","EXACT_SOURCE":"GSE25085_2626_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in thymic implants from fetal liver versus those from adult bone marrow.","DESCRIPTION_FULL":"Human fetal and adult hematopoietic stem cells (HSC) were obtained from fetal liver, fetal bone marrow (BM), and adult BM. These were injected into human fetal thymic implants in SCID-hu Thy/Liv mice (4-6 separate mice per HSC donor) and allowed to mature into single positive CD4+ (SP4) thymocytes over the course of 7-8 weeks. SP4 thymocytes from injected stem cells were subsequently sort-purified from thymic implants and gene expression was performed."}
{"STANDARD_NAME":"GSE25085_FETAL_BM_VS_ADULT_BM_SP4_THYMIC_IMPLANT_DN","SYSTEMATIC_NAME":"M8070","ORGANISM":"Homo sapiens","PMID":"21164017","AUTHORS":"Mold JE,Venkatasubrahmanyam S,Burt TD,Michaëlsson J,Rivera JM,Galkina SA,Weinberg K,Stoddart CA,McCune JM","GEOID":"GSE25085","EXACT_SOURCE":"GSE25085_2627_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in thymic implants from fetal versus those from adult bone marrow.","DESCRIPTION_FULL":"Human fetal and adult hematopoietic stem cells (HSC) were obtained from fetal liver, fetal bone marrow (BM), and adult BM. These were injected into human fetal thymic implants in SCID-hu Thy/Liv mice (4-6 separate mice per HSC donor) and allowed to mature into single positive CD4+ (SP4) thymocytes over the course of 7-8 weeks. SP4 thymocytes from injected stem cells were subsequently sort-purified from thymic implants and gene expression was performed."}
{"STANDARD_NAME":"GSE25085_FETAL_LIVER_VS_ADULT_BM_SP4_THYMIC_IMPLANT_UP","SYSTEMATIC_NAME":"M8072","ORGANISM":"Homo sapiens","PMID":"21164017","AUTHORS":"Mold JE,Venkatasubrahmanyam S,Burt TD,Michaëlsson J,Rivera JM,Galkina SA,Weinberg K,Stoddart CA,McCune JM","GEOID":"GSE25085","EXACT_SOURCE":"GSE25085_2626_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in thymic implants from fetal liver versus those from adult bone marrow.","DESCRIPTION_FULL":"Human fetal and adult hematopoietic stem cells (HSC) were obtained from fetal liver, fetal bone marrow (BM), and adult BM. These were injected into human fetal thymic implants in SCID-hu Thy/Liv mice (4-6 separate mice per HSC donor) and allowed to mature into single positive CD4+ (SP4) thymocytes over the course of 7-8 weeks. SP4 thymocytes from injected stem cells were subsequently sort-purified from thymic implants and gene expression was performed."}
{"STANDARD_NAME":"GSE25085_FETAL_BM_VS_ADULT_BM_SP4_THYMIC_IMPLANT_UP","SYSTEMATIC_NAME":"M8073","ORGANISM":"Homo sapiens","PMID":"21164017","AUTHORS":"Mold JE,Venkatasubrahmanyam S,Burt TD,Michaëlsson J,Rivera JM,Galkina SA,Weinberg K,Stoddart CA,McCune JM","GEOID":"GSE25085","EXACT_SOURCE":"GSE25085_2627_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in thymic implants from fetal versus those from adult bone marrow.","DESCRIPTION_FULL":"Human fetal and adult hematopoietic stem cells (HSC) were obtained from fetal liver, fetal bone marrow (BM), and adult BM. These were injected into human fetal thymic implants in SCID-hu Thy/Liv mice (4-6 separate mice per HSC donor) and allowed to mature into single positive CD4+ (SP4) thymocytes over the course of 7-8 weeks. SP4 thymocytes from injected stem cells were subsequently sort-purified from thymic implants and gene expression was performed."}
{"STANDARD_NAME":"GSE25085_FETAL_LIVER_VS_FETAL_BM_SP4_THYMIC_IMPLANT_UP","SYSTEMATIC_NAME":"M8075","ORGANISM":"Homo sapiens","PMID":"21164017","AUTHORS":"Mold JE,Venkatasubrahmanyam S,Burt TD,Michaëlsson J,Rivera JM,Galkina SA,Weinberg K,Stoddart CA,McCune JM","GEOID":"GSE25085","EXACT_SOURCE":"GSE25085_2625_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in thymic implants from fetal liver versus those from fetal bone marrow.","DESCRIPTION_FULL":"Human fetal and adult hematopoietic stem cells (HSC) were obtained from fetal liver, fetal bone marrow (BM), and adult BM. These were injected into human fetal thymic implants in SCID-hu Thy/Liv mice (4-6 separate mice per HSC donor) and allowed to mature into single positive CD4+ (SP4) thymocytes over the course of 7-8 weeks. SP4 thymocytes from injected stem cells were subsequently sort-purified from thymic implants and gene expression was performed."}
{"STANDARD_NAME":"GSE25085_FETAL_LIVER_VS_FETAL_BM_SP4_THYMIC_IMPLANT_DN","SYSTEMATIC_NAME":"M8076","ORGANISM":"Homo sapiens","PMID":"21164017","AUTHORS":"Mold JE,Venkatasubrahmanyam S,Burt TD,Michaëlsson J,Rivera JM,Galkina SA,Weinberg K,Stoddart CA,McCune JM","GEOID":"GSE25085","EXACT_SOURCE":"GSE25085_2625_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in thymic implants from fetal liver versus those from fetal bone marrow.","DESCRIPTION_FULL":"Human fetal and adult hematopoietic stem cells (HSC) were obtained from fetal liver, fetal bone marrow (BM), and adult BM. These were injected into human fetal thymic implants in SCID-hu Thy/Liv mice (4-6 separate mice per HSC donor) and allowed to mature into single positive CD4+ (SP4) thymocytes over the course of 7-8 weeks. SP4 thymocytes from injected stem cells were subsequently sort-purified from thymic implants and gene expression was performed."}
{"STANDARD_NAME":"GSE23398_WT_VS_IL2_KO_CD4_TCELL_SCURFY_MOUSE_DN","SYSTEMATIC_NAME":"M8079","ORGANISM":"Mus musculus","PMID":"21169543","AUTHORS":"Sharma R,Sharma PR,Kim YC,Leitinger N,Lee JK,Fu SM,Ju ST","GEOID":"GSE23398","EXACT_SOURCE":"GSE23398_3081_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in lymph node CD4 [GeneID=920] T cells: scurfy (non-functional form of FOXP3 [GeneID=50943]) versus scurfy and IL2 [GeneID=3558] knockout.","DESCRIPTION_FULL":"The goal of the study was to identify the genes which are regulated by Interleukin-2 in the CD4+ T cells of the scurfy mice during regulatory T-cell deficiency. Scurfy (Sf) mice bear a mutation in the forkhead box P3 (Foxp3) transcription factor, lack regulatory T-cells (Treg), develop multi-organ inflammation, and die prematurely. The major target organs affected are skin, lungs, and liver. Sf mice lacking the Il2 gene (Sf.Il2-/-), despite devoid of Treg, did not develop skin and lung inflammation, but the inflammation in liver, pancreas, submandibular gland and colon remained. Genome-wide microarray analysis revealed hundreds of genes were differentially regulated among Sf, Sf.Il2-/-, and B6 CD4+ T-cells but the most changes were those encoding receptors for trafficking/chemotaxis/retention and lymphokines. Our study suggests that IL-2 controls the skin and lung inflammation in Sf mice in an apparent \\organ-specific\\ manner through two novel mechanisms: by regulating the expression of genes encoding receptors for T-cell trafficking/chemotaxis/retention and by regulating Th2 cell expansion and lymphokine production. Thus, IL-2 is a master regulator for multi-organ inflammation and an underlying etiological factor for various diseases associated with skin and lung inflammation. Methods: CD4+ T cells were purified by Fluorescence Assisted Cell Sorting from the peripheral lymph nodes of (A) three individual Scurfy (Sf; B6.Cg-Foxp3sf/J) male mice, (B) three individual Sf.Il2-/- male mice (Scurfy mice carrying a null Interleukin (IL)-2 gene (B6.129P2-Il2tm1Hor/J)) and (C) a pooled sample of lymph nodes from two B6 (C57BL/6J) mice. All the mice were 3 weeks old. Total RNA was prepared using RNeasy mini kit (Qiagen). RNA samples were converted to cRNA, labeled and hybridized to Affymetrix Mouse 430_2 chips (Mouse Genome 430 2.0 Array, Affymetrix, Santa Clara, CA) at the University of Virginia DNA Sciences Core Facility."}
{"STANDARD_NAME":"GSE23398_WT_VS_IL2_KO_CD4_TCELL_SCURFY_MOUSE_UP","SYSTEMATIC_NAME":"M8080","ORGANISM":"Mus musculus","PMID":"21169543","AUTHORS":"Sharma R,Sharma PR,Kim YC,Leitinger N,Lee JK,Fu SM,Ju ST","GEOID":"GSE23398","EXACT_SOURCE":"GSE23398_3081_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in lymph node CD4 [GeneID=920] T cells: scurfy (non-functional form of FOXP3 [GeneID=50943]) versus scurfy and IL2 [GeneID=3558] knockout.","DESCRIPTION_FULL":"The goal of the study was to identify the genes which are regulated by Interleukin-2 in the CD4+ T cells of the scurfy mice during regulatory T-cell deficiency. Scurfy (Sf) mice bear a mutation in the forkhead box P3 (Foxp3) transcription factor, lack regulatory T-cells (Treg), develop multi-organ inflammation, and die prematurely. The major target organs affected are skin, lungs, and liver. Sf mice lacking the Il2 gene (Sf.Il2-/-), despite devoid of Treg, did not develop skin and lung inflammation, but the inflammation in liver, pancreas, submandibular gland and colon remained. Genome-wide microarray analysis revealed hundreds of genes were differentially regulated among Sf, Sf.Il2-/-, and B6 CD4+ T-cells but the most changes were those encoding receptors for trafficking/chemotaxis/retention and lymphokines. Our study suggests that IL-2 controls the skin and lung inflammation in Sf mice in an apparent \\organ-specific\\ manner through two novel mechanisms: by regulating the expression of genes encoding receptors for T-cell trafficking/chemotaxis/retention and by regulating Th2 cell expansion and lymphokine production. Thus, IL-2 is a master regulator for multi-organ inflammation and an underlying etiological factor for various diseases associated with skin and lung inflammation. Methods: CD4+ T cells were purified by Fluorescence Assisted Cell Sorting from the peripheral lymph nodes of (A) three individual Scurfy (Sf; B6.Cg-Foxp3sf/J) male mice, (B) three individual Sf.Il2-/- male mice (Scurfy mice carrying a null Interleukin (IL)-2 gene (B6.129P2-Il2tm1Hor/J)) and (C) a pooled sample of lymph nodes from two B6 (C57BL/6J) mice. All the mice were 3 weeks old. Total RNA was prepared using RNeasy mini kit (Qiagen). RNA samples were converted to cRNA, labeled and hybridized to Affymetrix Mouse 430_2 chips (Mouse Genome 430 2.0 Array, Affymetrix, Santa Clara, CA) at the University of Virginia DNA Sciences Core Facility."}
{"STANDARD_NAME":"GSE23502_BM_VS_COLON_TUMOR_HDC_KO_MYELOID_DERIVED_SUPPRESSOR_CELL_DN","SYSTEMATIC_NAME":"M8081","ORGANISM":"Mus musculus","PMID":"21170045","AUTHORS":"Yang XD,Ai W,Asfaha S,Bhagat G,Friedman RA,Jin G,Park H,Shykind B,Diacovo TG,Falus A,Wang TC","GEOID":"GSE23502","EXACT_SOURCE":"GSE23502_2654_200_DN","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes down-regulated in myeloid-derived suppressor cells with HDC [GeneID=3067] knockout: bone marrow versus colon tumor.","DESCRIPTION_FULL":"Differentially expressed genes of CD11b+Gr-1+ immature myeloid cells (IMCs) in the bone marrow and colonic tumor setting of histidine decarboxylase (HDC)-KO mice were examined by microarray (Affymetrix Mouse 430.2 array). Myeloid differentiation-related candidate genes were sought to be isolated and functionally studied."}
{"STANDARD_NAME":"GSE23502_BM_VS_COLON_TUMOR_HDC_KO_MYELOID_DERIVED_SUPPRESSOR_CELL_UP","SYSTEMATIC_NAME":"M8082","ORGANISM":"Mus musculus","PMID":"21170045","AUTHORS":"Yang XD,Ai W,Asfaha S,Bhagat G,Friedman RA,Jin G,Park H,Shykind B,Diacovo TG,Falus A,Wang TC","GEOID":"GSE23502","EXACT_SOURCE":"GSE23502_2654_200_UP","CHIP":"HUMAN_GENE_SYMBOL","CATEGORY_CODE":"C7","SUB_CATEGORY_CODE":"IMMUNESIGDB","CONTRIBUTOR":"Jernej Godec","CONTRIBUTOR_ORG":"Dana-Farber Cancer Institute","DESCRIPTION_BRIEF":"Genes up-regulated in myeloid-derived suppressor cells with HDC [GeneID=3067] knockout: bone marrow versus colon tumor.","DESC